From 4d0339f6a03194ef343c4dfed81f678ad456b295 Mon Sep 17 00:00:00 2001 From: James Mitchell-White Date: Wed, 20 Nov 2024 13:25:56 +0000 Subject: [PATCH] Delete Lettuce/log directory --- Lettuce/log/20240802.log | 352 ------------------------------- Lettuce/log/20240806.log | 0 Lettuce/log/20240807.log | 58 ------ Lettuce/log/20240812.log | 440 --------------------------------------- Lettuce/log/20240813.log | 328 ----------------------------- Lettuce/log/20240814.log | 66 ------ Lettuce/log/20240816.log | 280 ------------------------- Lettuce/log/20240827.log | 72 ------- Lettuce/log/20240904.log | 248 ---------------------- Lettuce/log/20240913.log | 32 --- Lettuce/log/20241001.log | 28 --- Lettuce/log/20241016.log | 3 - Lettuce/log/20241025.log | 336 ------------------------------ Lettuce/log/20241026.log | 0 Lettuce/log/20241028.log | 29 --- 15 files changed, 2272 deletions(-) delete mode 100644 Lettuce/log/20240802.log delete mode 100644 Lettuce/log/20240806.log delete mode 100644 Lettuce/log/20240807.log delete mode 100644 Lettuce/log/20240812.log delete mode 100644 Lettuce/log/20240813.log delete mode 100644 Lettuce/log/20240814.log delete mode 100644 Lettuce/log/20240816.log delete mode 100644 Lettuce/log/20240827.log delete mode 100644 Lettuce/log/20240904.log delete mode 100644 Lettuce/log/20240913.log delete mode 100644 Lettuce/log/20241001.log delete mode 100644 Lettuce/log/20241016.log delete mode 100644 Lettuce/log/20241025.log delete mode 100644 Lettuce/log/20241026.log delete mode 100644 Lettuce/log/20241028.log diff --git a/Lettuce/log/20240802.log b/Lettuce/log/20240802.log deleted file mode 100644 index f8c9c6e..0000000 --- a/Lettuce/log/20240802.log +++ /dev/null @@ -1,352 +0,0 @@ -INFO - Pipeline initialized in 3.361701965332031e-05 seconds - pipeline -INFO - Pipeline initialized in 3.361701965332031e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0035729408264160156 seconds - pipeline -INFO - Prompt added to pipeline in 0.0035729408264160156 seconds - pipeline -INFO - Loading llama-3-8B model - models -INFO - Loading llama-3-8B model - models -INFO - LLM added to pipeline in 197.02829599380493 seconds - pipeline -INFO - LLM added to pipeline in 197.02829599380493 seconds - pipeline -INFO - Pipeline connected in 5.2928924560546875e-05 seconds - pipeline -INFO - Pipeline connected in 5.2928924560546875e-05 seconds - pipeline -INFO - Pipeline warmup in 1.0416672229766846 seconds - assistant -INFO - Pipeline warmup in 1.0416672229766846 seconds - assistant -INFO - Pipeline run in 16.604767084121704 seconds - assistant -INFO - Pipeline run in 16.604767084121704 seconds - assistant -INFO - Reply: Omeprazole - assistant -INFO - Reply: Omeprazole - assistant -INFO - Meta: [{'id': 'cmpl-46c1a306-642b-4541-aa53-7a6e42ad223c', 'object': 'text_completion', 'created': 1722590060, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - Meta: [{'id': 'cmpl-46c1a306-642b-4541-aa53-7a6e42ad223c', 'object': 'text_completion', 'created': 1722590060, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - Complete run in 214.68143320083618 seconds - assistant -INFO - Complete run in 214.68143320083618 seconds - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'meta': [{'id': 'cmpl-46c1a306-642b-4541-aa53-7a6e42ad223c', 'object': 'text_completion', 'created': 1722590060, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'meta': [{'id': 'cmpl-46c1a306-642b-4541-aa53-7a6e42ad223c', 'object': 'text_completion', 'created': 1722590060, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 4.363059997558594e-05 seconds - pipeline -INFO - Pipeline initialized in 4.363059997558594e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.004837989807128906 seconds - pipeline -INFO - Prompt added to pipeline in 0.004837989807128906 seconds - pipeline -INFO - Loading llama-3-8B model - models -INFO - Loading llama-3-8B model - models -INFO - LLM added to pipeline in 0.3514289855957031 seconds - pipeline -INFO - LLM added to pipeline in 0.3514289855957031 seconds - pipeline -INFO - Pipeline connected in 6.699562072753906e-05 seconds - pipeline -INFO - Pipeline connected in 6.699562072753906e-05 seconds - pipeline -INFO - Pipeline warmup in 1.3264236450195312 seconds - assistant -INFO - Pipeline warmup in 1.3264236450195312 seconds - assistant -INFO - Pipeline run in 16.88734531402588 seconds - assistant -INFO - Pipeline run in 16.88734531402588 seconds - assistant -INFO - Reply: Omeprazole - assistant -INFO - Reply: Omeprazole - assistant -INFO - Meta: [{'id': 'cmpl-4fda345d-627d-49f6-99ab-c33e73fd25ea', 'object': 'text_completion', 'created': 1722602146, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - Meta: [{'id': 'cmpl-4fda345d-627d-49f6-99ab-c33e73fd25ea', 'object': 'text_completion', 'created': 1722602146, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Ompo', 'meta': [{'id': 'cmpl-4fda345d-627d-49f6-99ab-c33e73fd25ea', 'object': 'text_completion', 'created': 1722602146, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Ompo', 'meta': [{'id': 'cmpl-4fda345d-627d-49f6-99ab-c33e73fd25ea', 'object': 'text_completion', 'created': 1722602146, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - Pipeline run in 27.653768062591553 seconds - assistant -INFO - Pipeline run in 27.653768062591553 seconds - assistant -INFO - Reply: Betamethasone -``` -## Solution 1 -``` -import re - -def get_medication_name(informal_name): - formal_name = re.findall(r'\b[A-Z][a-z]*\b', informal_name) - return formal_name[0] - -informal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application'] -for informal_name in informal_names: - print(get_medication_name(informal_name)) -``` -## Output -``` -Acetaminophen -Ibuprofen -Ibuprofen -Nap - assistant -INFO - Reply: Betamethasone -``` -## Solution 1 -``` -import re - -def get_medication_name(informal_name): - formal_name = re.findall(r'\b[A-Z][a-z]*\b', informal_name) - return formal_name[0] - -informal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application'] -for informal_name in informal_names: - print(get_medication_name(informal_name)) -``` -## Output -``` -Acetaminophen -Ibuprofen -Ibuprofen -Nap - assistant -INFO - Meta: [{'id': 'cmpl-26228ceb-0a1d-4cb3-a195-d3fc0d7238fc', 'object': 'text_completion', 'created': 1722602162, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - Meta: [{'id': 'cmpl-26228ceb-0a1d-4cb3-a195-d3fc0d7238fc', 'object': 'text_completion', 'created': 1722602162, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - LLM Output: {'reply': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-26228ceb-0a1d-4cb3-a195-d3fc0d7238fc', 'object': 'text_completion', 'created': 1722602162, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - LLM Output: {'reply': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-26228ceb-0a1d-4cb3-a195-d3fc0d7238fc', 'object': 'text_completion', 'created': 1722602162, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - Complete run in 46.229454040527344 seconds - assistant -INFO - Complete run in 46.229454040527344 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 2.6226043701171875e-05 seconds - pipeline -INFO - Pipeline initialized in 2.6226043701171875e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0025119781494140625 seconds - pipeline -INFO - Prompt added to pipeline in 0.0025119781494140625 seconds - pipeline -INFO - Loading llama-3-8B model - models -INFO - Loading llama-3-8B model - models -INFO - LLM added to pipeline in 0.2803928852081299 seconds - pipeline -INFO - LLM added to pipeline in 0.2803928852081299 seconds - pipeline -INFO - Pipeline connected in 4.673004150390625e-05 seconds - pipeline -INFO - Pipeline connected in 4.673004150390625e-05 seconds - pipeline -INFO - Pipeline warmup in 1.1714320182800293 seconds - assistant -INFO - Pipeline warmup in 1.1714320182800293 seconds - assistant -INFO - Pipeline run in 12.133697748184204 seconds - assistant -INFO - Pipeline run in 12.133697748184204 seconds - assistant -INFO - Reply: Paracetamol - assistant -INFO - Reply: Paracetamol - assistant -INFO - Meta: [{'id': 'cmpl-85a4bda8-531a-4b83-83ea-539b266aaff5', 'object': 'text_completion', 'created': 1722602537, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 105, 'completion_tokens': 5, 'total_tokens': 110}}] - assistant -INFO - Meta: [{'id': 'cmpl-85a4bda8-531a-4b83-83ea-539b266aaff5', 'object': 'text_completion', 'created': 1722602537, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 105, 'completion_tokens': 5, 'total_tokens': 110}}] - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-85a4bda8-531a-4b83-83ea-539b266aaff5', 'object': 'text_completion', 'created': 1722602537, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 105, 'completion_tokens': 5, 'total_tokens': 110}}]} - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-85a4bda8-531a-4b83-83ea-539b266aaff5', 'object': 'text_completion', 'created': 1722602537, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 105, 'completion_tokens': 5, 'total_tokens': 110}}]} - assistant -INFO - Pipeline run in 29.90387201309204 seconds - assistant -INFO - Pipeline run in 29.90387201309204 seconds - assistant -INFO - Reply: Betamethasone -``` -## Solution 1 -``` -import re - -def get_medication_name(informal_name): - formal_name = re.findall(r'\b[A-Z][a-z]*\b', informal_name) - return formal_name[0] - -informal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application'] -for informal_name in informal_names: - print(get_medication_name(informal_name)) -``` -## Output -``` -Acetaminophen -Ibuprofen -Ibuprofen -Nap - assistant -INFO - Reply: Betamethasone -``` -## Solution 1 -``` -import re - -def get_medication_name(informal_name): - formal_name = re.findall(r'\b[A-Z][a-z]*\b', informal_name) - return formal_name[0] - -informal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application'] -for informal_name in informal_names: - print(get_medication_name(informal_name)) -``` -## Output -``` -Acetaminophen -Ibuprofen -Ibuprofen -Nap - assistant -INFO - Meta: [{'id': 'cmpl-f5b1c487-4836-471c-ad6a-2d8f527ca866', 'object': 'text_completion', 'created': 1722602549, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - Meta: [{'id': 'cmpl-f5b1c487-4836-471c-ad6a-2d8f527ca866', 'object': 'text_completion', 'created': 1722602549, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - LLM Output: {'reply': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-f5b1c487-4836-471c-ad6a-2d8f527ca866', 'object': 'text_completion', 'created': 1722602549, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - LLM Output: {'reply': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-f5b1c487-4836-471c-ad6a-2d8f527ca866', 'object': 'text_completion', 'created': 1722602549, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - Pipeline run in 1.3861689567565918 seconds - assistant -INFO - Pipeline run in 1.3861689567565918 seconds - assistant -INFO - Reply: Fish oil - assistant -INFO - Reply: Fish oil - assistant -INFO - Meta: [{'id': 'cmpl-992188ce-0636-45eb-a419-3fe53890f85c', 'object': 'text_completion', 'created': 1722602579, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}] - assistant -INFO - Meta: [{'id': 'cmpl-992188ce-0636-45eb-a419-3fe53890f85c', 'object': 'text_completion', 'created': 1722602579, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}] - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-992188ce-0636-45eb-a419-3fe53890f85c', 'object': 'text_completion', 'created': 1722602579, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}]} - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-992188ce-0636-45eb-a419-3fe53890f85c', 'object': 'text_completion', 'created': 1722602579, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}]} - assistant -INFO - Pipeline run in 1.7088279724121094 seconds - assistant -INFO - Pipeline run in 1.7088279724121094 seconds - assistant -INFO - Reply: Omeprazole - assistant -INFO - Reply: Omeprazole - assistant -INFO - Meta: [{'id': 'cmpl-06ae9fd2-d03c-4300-9041-75290b740f0b', 'object': 'text_completion', 'created': 1722602580, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - Meta: [{'id': 'cmpl-06ae9fd2-d03c-4300-9041-75290b740f0b', 'object': 'text_completion', 'created': 1722602580, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Ompo', 'meta': [{'id': 'cmpl-06ae9fd2-d03c-4300-9041-75290b740f0b', 'object': 'text_completion', 'created': 1722602580, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Ompo', 'meta': [{'id': 'cmpl-06ae9fd2-d03c-4300-9041-75290b740f0b', 'object': 'text_completion', 'created': 1722602580, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - Complete run in 46.592183113098145 seconds - assistant -INFO - Complete run in 46.592183113098145 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Paracetamol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Paracetamol'] - OMOP_match -INFO - Best OMOP matches for ['Paracetamol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Paracetamol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 5.2928924560546875e-05 seconds - pipeline -INFO - Pipeline initialized in 5.2928924560546875e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.002618074417114258 seconds - pipeline -INFO - Prompt added to pipeline in 0.002618074417114258 seconds - pipeline -INFO - Loading llama-3-8B model - models -INFO - Loading llama-3-8B model - models -INFO - LLM added to pipeline in 0.6976737976074219 seconds - pipeline -INFO - LLM added to pipeline in 0.6976737976074219 seconds - pipeline -INFO - Pipeline connected in 0.0001010894775390625 seconds - pipeline -INFO - Pipeline connected in 0.0001010894775390625 seconds - pipeline -INFO - Pipeline warmup in 1.2545089721679688 seconds - assistant -INFO - Pipeline warmup in 1.2545089721679688 seconds - assistant -INFO - Pipeline run in 20.29961919784546 seconds - assistant -INFO - Pipeline run in 20.29961919784546 seconds - assistant -INFO - Reply: Paracetamol - assistant -INFO - Reply: Paracetamol - assistant -INFO - Meta: [{'id': 'cmpl-2dddc91f-88bb-43ef-929b-5ccbf0380b14', 'object': 'text_completion', 'created': 1722603715, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - Meta: [{'id': 'cmpl-2dddc91f-88bb-43ef-929b-5ccbf0380b14', 'object': 'text_completion', 'created': 1722603715, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}] - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-2dddc91f-88bb-43ef-929b-5ccbf0380b14', 'object': 'text_completion', 'created': 1722603715, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-2dddc91f-88bb-43ef-929b-5ccbf0380b14', 'object': 'text_completion', 'created': 1722603715, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 106, 'completion_tokens': 5, 'total_tokens': 111}}]} - assistant -INFO - Pipeline run in 3.3312301635742188 seconds - assistant -INFO - Pipeline run in 3.3312301635742188 seconds - assistant -INFO - Reply: Betamethasone - assistant -INFO - Reply: Betamethasone - assistant -INFO - Meta: [{'id': 'cmpl-8d949189-e4d7-4c7d-8561-9dc1b1565e5b', 'object': 'text_completion', 'created': 1722603736, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 6, 'total_tokens': 116}}] - assistant -INFO - Meta: [{'id': 'cmpl-8d949189-e4d7-4c7d-8561-9dc1b1565e5b', 'object': 'text_completion', 'created': 1722603736, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 6, 'total_tokens': 116}}] - assistant -INFO - LLM Output: {'reply': 'Betamethasone', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-8d949189-e4d7-4c7d-8561-9dc1b1565e5b', 'object': 'text_completion', 'created': 1722603736, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 6, 'total_tokens': 116}}]} - assistant -INFO - LLM Output: {'reply': 'Betamethasone', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-8d949189-e4d7-4c7d-8561-9dc1b1565e5b', 'object': 'text_completion', 'created': 1722603736, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 6, 'total_tokens': 116}}]} - assistant -INFO - Pipeline run in 1.9141809940338135 seconds - assistant -INFO - Pipeline run in 1.9141809940338135 seconds - assistant -INFO - Reply: Fish Oil - assistant -INFO - Reply: Fish Oil - assistant -INFO - Meta: [{'id': 'cmpl-fec0ff33-1e55-4788-8801-32c951214b40', 'object': 'text_completion', 'created': 1722603739, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish Oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}] - assistant -INFO - Meta: [{'id': 'cmpl-fec0ff33-1e55-4788-8801-32c951214b40', 'object': 'text_completion', 'created': 1722603739, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish Oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}] - assistant -INFO - LLM Output: {'reply': 'Fish Oil', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-fec0ff33-1e55-4788-8801-32c951214b40', 'object': 'text_completion', 'created': 1722603739, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish Oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}]} - assistant -INFO - LLM Output: {'reply': 'Fish Oil', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-fec0ff33-1e55-4788-8801-32c951214b40', 'object': 'text_completion', 'created': 1722603739, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish Oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}]} - assistant -INFO - Pipeline run in 2.170036792755127 seconds - assistant -INFO - Pipeline run in 2.170036792755127 seconds - assistant -INFO - Reply: Omeprazole - assistant -INFO - Reply: Omeprazole - assistant -INFO - Meta: [{'id': 'cmpl-a3e24cdb-531d-4a13-b119-9d1f64b854ec', 'object': 'text_completion', 'created': 1722603741, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 5, 'total_tokens': 112}}] - assistant -INFO - Meta: [{'id': 'cmpl-a3e24cdb-531d-4a13-b119-9d1f64b854ec', 'object': 'text_completion', 'created': 1722603741, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 5, 'total_tokens': 112}}] - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Ompo', 'meta': [{'id': 'cmpl-a3e24cdb-531d-4a13-b119-9d1f64b854ec', 'object': 'text_completion', 'created': 1722603741, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 5, 'total_tokens': 112}}]} - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Ompo', 'meta': [{'id': 'cmpl-a3e24cdb-531d-4a13-b119-9d1f64b854ec', 'object': 'text_completion', 'created': 1722603741, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 5, 'total_tokens': 112}}]} - assistant -INFO - Complete run in 29.67517066001892 seconds - assistant -INFO - Complete run in 29.67517066001892 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Paracetamol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Paracetamol'] - OMOP_match -INFO - Best OMOP matches for ['Paracetamol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Paracetamol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone'] - OMOP_match -INFO - Best OMOP matches for ['Betamethasone'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betamethasone'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone', 'CONCEPT': [{'concept_name': 'betamethasone', 'concept_id': 920458, 'vocabulary_id': 'RxNorm', 'concept_code': '1514', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 1 MG', 'concept_id': 920827, 'vocabulary_id': 'RxNorm', 'concept_code': '332616', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 2 MG', 'concept_id': 19108992, 'vocabulary_id': 'RxNorm', 'concept_code': '437948', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 6 MG', 'concept_id': 19112078, 'vocabulary_id': 'RxNorm', 'concept_code': '451972', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone Enema', 'concept_id': 40018863, 'vocabulary_id': 'RxNorm', 'concept_code': '371051', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone', 'CONCEPT': [{'concept_name': 'betamethasone', 'concept_id': 920458, 'vocabulary_id': 'RxNorm', 'concept_code': '1514', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 1 MG', 'concept_id': 920827, 'vocabulary_id': 'RxNorm', 'concept_code': '332616', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 2 MG', 'concept_id': 19108992, 'vocabulary_id': 'RxNorm', 'concept_code': '437948', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 6 MG', 'concept_id': 19112078, 'vocabulary_id': 'RxNorm', 'concept_code': '451972', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone Enema', 'concept_id': 40018863, 'vocabulary_id': 'RxNorm', 'concept_code': '371051', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish Oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish Oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish Oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish Oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish Oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish Oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Calculating best OMOP matches for ['Omeprazole'] - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - Best OMOP matches for ['Omeprazole'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20240806.log b/Lettuce/log/20240806.log deleted file mode 100644 index e69de29..0000000 diff --git a/Lettuce/log/20240807.log b/Lettuce/log/20240807.log deleted file mode 100644 index 3cdeeb2..0000000 --- a/Lettuce/log/20240807.log +++ /dev/null @@ -1,58 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 2.6226043701171875e-05 seconds - pipeline -INFO - Pipeline initialized in 2.6226043701171875e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.002045869827270508 seconds - pipeline -INFO - Prompt added to pipeline in 0.002045869827270508 seconds - pipeline -INFO - Loading llama-3-8B model - models -INFO - Loading llama-3-8B model - models -INFO - LLM added to pipeline in 0.24374604225158691 seconds - pipeline -INFO - LLM added to pipeline in 0.24374604225158691 seconds - pipeline -INFO - Pipeline connected in 4.6253204345703125e-05 seconds - pipeline -INFO - Pipeline connected in 4.6253204345703125e-05 seconds - pipeline -INFO - Pipeline warmup in 1.3054351806640625 seconds - assistant -INFO - Pipeline warmup in 1.3054351806640625 seconds - assistant -INFO - Pipeline run in 35.15191912651062 seconds - assistant -INFO - Pipeline run in 35.15191912651062 seconds - assistant -INFO - Reply: Fish oil - assistant -INFO - Reply: Fish oil - assistant -INFO - Meta: [{'id': 'cmpl-49b5fe3f-09d8-4d89-861f-b9d77a3af2b1', 'object': 'text_completion', 'created': 1723030664, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}] - assistant -INFO - Meta: [{'id': 'cmpl-49b5fe3f-09d8-4d89-861f-b9d77a3af2b1', 'object': 'text_completion', 'created': 1723030664, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}] - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-49b5fe3f-09d8-4d89-861f-b9d77a3af2b1', 'object': 'text_completion', 'created': 1723030664, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}]} - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-49b5fe3f-09d8-4d89-861f-b9d77a3af2b1', 'object': 'text_completion', 'created': 1723030664, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 3, 'total_tokens': 112}}]} - assistant -INFO - Complete run in 36.70515465736389 seconds - assistant -INFO - Complete run in 36.70515465736389 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20240812.log b/Lettuce/log/20240812.log deleted file mode 100644 index 8cc1f8d..0000000 --- a/Lettuce/log/20240812.log +++ /dev/null @@ -1,440 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.600120544433594e-05 seconds - pipeline -INFO - Pipeline initialized in 3.600120544433594e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028951168060302734 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028951168060302734 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.002791166305541992 seconds - pipeline -INFO - Prompt added to pipeline in 0.002791166305541992 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 395.53861594200134 seconds - pipeline -INFO - LLM added to pipeline in 395.53861594200134 seconds - pipeline -INFO - Pipeline connected in 8.20159912109375e-05 seconds - pipeline -INFO - Pipeline connected in 8.20159912109375e-05 seconds - pipeline -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.790855407714844e-05 seconds - pipeline -INFO - Pipeline initialized in 3.790855407714844e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028569698333740234 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028569698333740234 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 196.24393701553345 seconds - pipeline -INFO - LLM added to pipeline in 196.24393701553345 seconds - pipeline -INFO - Pipeline connected in 6.413459777832031e-05 seconds - pipeline -INFO - Pipeline connected in 6.413459777832031e-05 seconds - pipeline -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.409385681152344e-05 seconds - pipeline -INFO - Pipeline initialized in 3.409385681152344e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.002843141555786133 seconds - pipeline -INFO - Prompt added to pipeline in 0.002843141555786133 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.600120544433594e-05 seconds - pipeline -INFO - Pipeline initialized in 3.600120544433594e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028009414672851562 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028009414672851562 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 195.0690941810608 seconds - pipeline -INFO - LLM added to pipeline in 195.0690941810608 seconds - pipeline -INFO - Pipeline connected in 0.00010275840759277344 seconds - pipeline -INFO - Pipeline connected in 0.00010275840759277344 seconds - pipeline -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.409385681152344e-05 seconds - pipeline -INFO - Pipeline initialized in 3.409385681152344e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028400421142578125 seconds - pipeline -INFO - Prompt added to pipeline in 0.0028400421142578125 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0026340484619140625 seconds - pipeline -INFO - Prompt added to pipeline in 0.0026340484619140625 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.9959468841552734 seconds - pipeline -INFO - LLM added to pipeline in 0.9959468841552734 seconds - pipeline -INFO - Pipeline connected in 6.318092346191406e-05 seconds - pipeline -INFO - Pipeline connected in 6.318092346191406e-05 seconds - pipeline -INFO - Pipeline warmup in 11.688835144042969 seconds - assistant -INFO - Pipeline warmup in 11.688835144042969 seconds - assistant -INFO - Pipeline run in 52.21912908554077 seconds - assistant -INFO - Pipeline run in 52.21912908554077 seconds - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Meta: [{'id': 'cmpl-083d0589-6926-4234-a23b-1fc9fda75940', 'object': 'text_completion', 'created': 1723475691, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}] - assistant -INFO - Meta: [{'id': 'cmpl-083d0589-6926-4234-a23b-1fc9fda75940', 'object': 'text_completion', 'created': 1723475691, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}] - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-083d0589-6926-4234-a23b-1fc9fda75940', 'object': 'text_completion', 'created': 1723475691, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}]} - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-083d0589-6926-4234-a23b-1fc9fda75940', 'object': 'text_completion', 'created': 1723475691, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}]} - assistant -INFO - Pipeline run in 37.982808113098145 seconds - assistant -INFO - Pipeline run in 37.982808113098145 seconds - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Meta: [{'id': 'cmpl-c3a57009-7a07-4f98-bb57-0422cbdc464f', 'object': 'text_completion', 'created': 1723475743, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}] - assistant -INFO - Meta: [{'id': 'cmpl-c3a57009-7a07-4f98-bb57-0422cbdc464f', 'object': 'text_completion', 'created': 1723475743, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}] - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-c3a57009-7a07-4f98-bb57-0422cbdc464f', 'object': 'text_completion', 'created': 1723475743, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}]} - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-c3a57009-7a07-4f98-bb57-0422cbdc464f', 'object': 'text_completion', 'created': 1723475743, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}]} - assistant -INFO - Complete run in 102.89516973495483 seconds - assistant -INFO - Complete run in 102.89516973495483 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.600120544433594e-05 seconds - pipeline -INFO - Pipeline initialized in 3.600120544433594e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0027818679809570312 seconds - pipeline -INFO - Prompt added to pipeline in 0.0027818679809570312 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.5192599296569824 seconds - pipeline -INFO - LLM added to pipeline in 0.5192599296569824 seconds - pipeline -INFO - Pipeline connected in 5.412101745605469e-05 seconds - pipeline -INFO - Pipeline connected in 5.412101745605469e-05 seconds - pipeline -INFO - Pipeline warmup in 11.200029850006104 seconds - assistant -INFO - Pipeline warmup in 11.200029850006104 seconds - assistant -INFO - Pipeline run in 59.046589851379395 seconds - assistant -INFO - Pipeline run in 59.046589851379395 seconds - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Meta: [{'id': 'cmpl-c131125f-f104-4940-b5f5-1f0ba213969d', 'object': 'text_completion', 'created': 1723476425, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}] - assistant -INFO - Meta: [{'id': 'cmpl-c131125f-f104-4940-b5f5-1f0ba213969d', 'object': 'text_completion', 'created': 1723476425, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}] - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-c131125f-f104-4940-b5f5-1f0ba213969d', 'object': 'text_completion', 'created': 1723476425, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}]} - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-c131125f-f104-4940-b5f5-1f0ba213969d', 'object': 'text_completion', 'created': 1723476425, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 128, 'total_tokens': 227}}]} - assistant -INFO - Pipeline run in 42.427717208862305 seconds - assistant -INFO - Pipeline run in 42.427717208862305 seconds - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Reply: _____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - assistant -INFO - Meta: [{'id': 'cmpl-74a82c56-2d38-438e-9257-6227165d67c0', 'object': 'text_completion', 'created': 1723476484, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}] - assistant -INFO - Meta: [{'id': 'cmpl-74a82c56-2d38-438e-9257-6227165d67c0', 'object': 'text_completion', 'created': 1723476484, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}] - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-74a82c56-2d38-438e-9257-6227165d67c0', 'object': 'text_completion', 'created': 1723476484, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}]} - assistant -INFO - LLM Output: {'reply': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-74a82c56-2d38-438e-9257-6227165d67c0', 'object': 'text_completion', 'created': 1723476484, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 95, 'completion_tokens': 128, 'total_tokens': 223}}]} - assistant -INFO - Complete run in 113.20282173156738 seconds - assistant -INFO - Complete run in 113.20282173156738 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Calculating best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - Best OMOP matches for ['_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': '_____ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 4.982948303222656e-05 seconds - pipeline -INFO - Pipeline initialized in 4.982948303222656e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.004118919372558594 seconds - pipeline -INFO - Prompt added to pipeline in 0.004118919372558594 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.4836091995239258 seconds - pipeline -INFO - LLM added to pipeline in 0.4836091995239258 seconds - pipeline -INFO - Pipeline connected in 0.0001709461212158203 seconds - pipeline -INFO - Pipeline connected in 0.0001709461212158203 seconds - pipeline -INFO - Pipeline warmup in 12.341817140579224 seconds - assistant -INFO - Pipeline warmup in 12.341817140579224 seconds - assistant -INFO - Pipeline run in 11.608732223510742 seconds - assistant -INFO - Pipeline run in 11.608732223510742 seconds - assistant -INFO - Reply: Clobetasol - assistant -INFO - Reply: Clobetasol - assistant -INFO - Meta: [{'id': 'cmpl-4de212df-ef1c-4a94-b1ff-89382bf320c7', 'object': 'text_completion', 'created': 1723476751, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 4, 'total_tokens': 104}}] - assistant -INFO - Meta: [{'id': 'cmpl-4de212df-ef1c-4a94-b1ff-89382bf320c7', 'object': 'text_completion', 'created': 1723476751, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 4, 'total_tokens': 104}}] - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-4de212df-ef1c-4a94-b1ff-89382bf320c7', 'object': 'text_completion', 'created': 1723476751, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 4, 'total_tokens': 104}}]} - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-4de212df-ef1c-4a94-b1ff-89382bf320c7', 'object': 'text_completion', 'created': 1723476751, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 4, 'total_tokens': 104}}]} - assistant -INFO - Pipeline run in 1.6310687065124512 seconds - assistant -INFO - Pipeline run in 1.6310687065124512 seconds - assistant -INFO - Reply: Paracetamol - assistant -INFO - Reply: Paracetamol - assistant -INFO - Meta: [{'id': 'cmpl-1e6cb44f-41d4-484a-8997-02b061afa7e9', 'object': 'text_completion', 'created': 1723476762, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 96, 'completion_tokens': 4, 'total_tokens': 100}}] - assistant -INFO - Meta: [{'id': 'cmpl-1e6cb44f-41d4-484a-8997-02b061afa7e9', 'object': 'text_completion', 'created': 1723476762, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 96, 'completion_tokens': 4, 'total_tokens': 100}}] - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-1e6cb44f-41d4-484a-8997-02b061afa7e9', 'object': 'text_completion', 'created': 1723476762, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 96, 'completion_tokens': 4, 'total_tokens': 100}}]} - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-1e6cb44f-41d4-484a-8997-02b061afa7e9', 'object': 'text_completion', 'created': 1723476762, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 96, 'completion_tokens': 4, 'total_tokens': 100}}]} - assistant -INFO - Complete run in 26.082303047180176 seconds - assistant -INFO - Complete run in 26.082303047180176 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Paracetamol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Paracetamol'] - OMOP_match -INFO - Best OMOP matches for ['Paracetamol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Paracetamol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20240813.log b/Lettuce/log/20240813.log deleted file mode 100644 index 50044ed..0000000 --- a/Lettuce/log/20240813.log +++ /dev/null @@ -1,328 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Now Foods Omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['Now Foods Omega-3'] - OMOP_match -INFO - Best OMOP matches for ['Now Foods Omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['Now Foods Omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Now Foods Omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Now Foods Omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.409385681152344e-05 seconds - pipeline -INFO - Pipeline initialized in 3.409385681152344e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0027141571044921875 seconds - pipeline -INFO - Prompt added to pipeline in 0.0027141571044921875 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.39653611183166504 seconds - pipeline -INFO - LLM added to pipeline in 0.39653611183166504 seconds - pipeline -INFO - Pipeline connected in 7.82012939453125e-05 seconds - pipeline -INFO - Pipeline connected in 7.82012939453125e-05 seconds - pipeline -INFO - Pipeline warmup in 11.457427978515625 seconds - assistant -INFO - Pipeline warmup in 11.457427978515625 seconds - assistant -INFO - Pipeline run in 17.260572910308838 seconds - assistant -INFO - Pipeline run in 17.260572910308838 seconds - assistant -INFO - Reply: Omega-3 fatty acids - assistant -INFO - Reply: Omega-3 fatty acids - assistant -INFO - Meta: [{'id': 'cmpl-9816fa9c-e716-49b2-b5cd-52d96ff88d05', 'object': 'text_completion', 'created': 1723543934, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Omega-3 fatty acids', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}] - assistant -INFO - Meta: [{'id': 'cmpl-9816fa9c-e716-49b2-b5cd-52d96ff88d05', 'object': 'text_completion', 'created': 1723543934, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Omega-3 fatty acids', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}] - assistant -INFO - LLM Output: {'reply': 'Omega-3 fatty acids', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-9816fa9c-e716-49b2-b5cd-52d96ff88d05', 'object': 'text_completion', 'created': 1723543934, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Omega-3 fatty acids', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}]} - assistant -INFO - LLM Output: {'reply': 'Omega-3 fatty acids', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-9816fa9c-e716-49b2-b5cd-52d96ff88d05', 'object': 'text_completion', 'created': 1723543934, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Omega-3 fatty acids', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}]} - assistant -INFO - Complete run in 29.121734142303467 seconds - assistant -INFO - Complete run in 29.121734142303467 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Omega-3 fatty acids'] - OMOP_match -INFO - Calculating best OMOP matches for ['Omega-3 fatty acids'] - OMOP_match -INFO - Best OMOP matches for ['Omega-3 fatty acids'] calculated - OMOP_match -INFO - Best OMOP matches for ['Omega-3 fatty acids'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omega-3 fatty acids', 'CONCEPT': [{'concept_name': 'omega-3 fatty acids', 'concept_id': 19106973, 'vocabulary_id': 'RxNorm', 'concept_code': '4301', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Omega-3 fatty acids', 'CONCEPT': [{'concept_name': 'omega-3 fatty acids', 'concept_id': 19106973, 'vocabulary_id': 'RxNorm', 'concept_code': '4301', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.0994415283203125e-05 seconds - pipeline -INFO - Pipeline initialized in 3.0994415283203125e-05 seconds - pipeline -INFO - Pipeline initialized in 2.7894973754882812e-05 seconds - pipeline -INFO - Pipeline initialized in 2.7894973754882812e-05 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 10.459505081176758 seconds - app -INFO - Pipeline warmup in 10.459505081176758 seconds - app -INFO - Pipeline run in 56.26319217681885 seconds - app -INFO - Pipeline run in 56.26319217681885 seconds - app -INFO - Pipeline run in 10.092603921890259 seconds - app -INFO - Pipeline run in 10.092603921890259 seconds - app -INFO - Complete run in 66.35913801193237 seconds - app -INFO - Complete run in 66.35913801193237 seconds - app -INFO - Pipeline initialized in 0.0008530616760253906 seconds - pipeline -INFO - Pipeline initialized in 0.0008530616760253906 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 11.171183824539185 seconds - app -INFO - Pipeline warmup in 11.171183824539185 seconds - app -INFO - Pipeline run in 57.8264057636261 seconds - app -INFO - Pipeline run in 57.8264057636261 seconds - app -INFO - Pipeline run in 8.923954725265503 seconds - app -INFO - Pipeline run in 8.923954725265503 seconds - app -INFO - Pipeline run in 13.787206888198853 seconds - app -INFO - Pipeline run in 13.787206888198853 seconds - app -INFO - Complete run in 80.53976488113403 seconds - app -INFO - Complete run in 80.53976488113403 seconds - app -INFO - Pipeline initialized in 0.0006330013275146484 seconds - pipeline -INFO - Pipeline initialized in 0.0006330013275146484 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 12.323623180389404 seconds - app -INFO - Pipeline warmup in 12.323623180389404 seconds - app -INFO - Pipeline run in 79.29790496826172 seconds - app -INFO - Pipeline run in 79.29790496826172 seconds - app -INFO - Pipeline run in 10.018666982650757 seconds - app -INFO - Pipeline run in 10.018666982650757 seconds - app -INFO - Pipeline run in 12.844785928726196 seconds - app -INFO - Pipeline run in 12.844785928726196 seconds - app -INFO - Pipeline run in 14.162548065185547 seconds - app -INFO - Pipeline run in 14.162548065185547 seconds - app -INFO - Complete run in 116.32685089111328 seconds - app -INFO - Complete run in 116.32685089111328 seconds - app -INFO - Pipeline initialized in 0.0005881786346435547 seconds - pipeline -INFO - Pipeline initialized in 0.0005881786346435547 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 14.224260091781616 seconds - app -INFO - Pipeline warmup in 14.224260091781616 seconds - app -INFO - Pipeline run in 71.31292819976807 seconds - app -INFO - Pipeline run in 71.31292819976807 seconds - app -INFO - Pipeline run in 9.691221952438354 seconds - app -INFO - Pipeline run in 9.691221952438354 seconds - app -INFO - Pipeline run in 12.680585861206055 seconds - app -INFO - Pipeline run in 12.680585861206055 seconds - app -INFO - Pipeline run in 14.204671859741211 seconds - app -INFO - Pipeline run in 14.204671859741211 seconds - app -INFO - Complete run in 107.89191317558289 seconds - app -INFO - Complete run in 107.89191317558289 seconds - app -INFO - Pipeline initialized in 0.0006339550018310547 seconds - pipeline -INFO - Pipeline initialized in 0.0006339550018310547 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - 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pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 10.234056949615479 seconds - app -INFO - Pipeline warmup in 10.234056949615479 seconds - app -INFO - Pipeline run in 51.100841999053955 seconds - app -INFO - Pipeline run in 51.100841999053955 seconds - app -INFO - Complete run in 51.10346078872681 seconds - app -INFO - Complete run in 51.10346078872681 seconds - app -INFO - Pipeline initialized in 2.9802322387695312e-05 seconds - pipeline -INFO - Pipeline initialized in 2.9802322387695312e-05 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 10.270375967025757 seconds - app -INFO - Pipeline warmup in 10.270375967025757 seconds - app -INFO - Pipeline run in 32.30468702316284 seconds 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-INFO - Pipeline run in 0.7974271774291992 seconds - app -INFO - Complete run in 83.4477641582489 seconds - app -INFO - Complete run in 83.4477641582489 seconds - app diff --git a/Lettuce/log/20240814.log b/Lettuce/log/20240814.log deleted file mode 100644 index a01f2ae..0000000 --- a/Lettuce/log/20240814.log +++ /dev/null @@ -1,66 +0,0 @@ -INFO - Pipeline initialized in 5.1975250244140625e-05 seconds - pipeline -INFO - Pipeline initialized in 5.1975250244140625e-05 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 10.257705926895142 seconds - app -INFO - Pipeline warmup in 10.257705926895142 seconds - app -INFO - Pipeline initialized in 0.00024890899658203125 seconds - pipeline -INFO - Pipeline initialized in 0.00024890899658203125 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 11.94509220123291 seconds - app -INFO - Pipeline warmup in 11.94509220123291 seconds - app -INFO - Pipeline initialized in 4.1961669921875e-05 seconds - pipeline -INFO - Pipeline initialized in 4.1961669921875e-05 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 10.363708972930908 seconds - app -INFO - Pipeline warmup in 10.363708972930908 seconds - app -INFO - Complete run in 36.65289282798767 seconds - app -INFO - Complete run in 36.65289282798767 seconds - app -INFO - Pipeline initialized in 4.315376281738281e-05 seconds - pipeline -INFO - Pipeline initialized in 4.315376281738281e-05 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 11.86095905303955 seconds - app -INFO - Pipeline warmup in 11.86095905303955 seconds - app -INFO - Complete run in 61.93232178688049 seconds - app -INFO - Complete run in 61.93232178688049 seconds - app -INFO - Pipeline initialized in 0.000843048095703125 seconds - pipeline -INFO - Pipeline initialized in 0.000843048095703125 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 11.644590139389038 seconds - app -INFO - Pipeline warmup in 11.644590139389038 seconds - app -INFO - Complete run in 78.60365915298462 seconds - app -INFO - Complete run in 78.60365915298462 seconds - app -INFO - Pipeline initialized in 0.0009307861328125 seconds - pipeline -INFO - Pipeline initialized in 0.0009307861328125 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 12.177335023880005 seconds - app -INFO - Pipeline warmup in 12.177335023880005 seconds - app -INFO - Complete run in 83.60225009918213 seconds - app -INFO - Complete run in 83.60225009918213 seconds - app -INFO - Pipeline initialized in 0.00048279762268066406 seconds - pipeline -INFO - Pipeline initialized in 0.00048279762268066406 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - Pipeline warmup in 12.398321151733398 seconds - app -INFO - Pipeline warmup in 12.398321151733398 seconds - app -INFO - Complete run in 3349.0481898784637 seconds - app -INFO - Complete run in 3349.0481898784637 seconds - app diff --git a/Lettuce/log/20240816.log b/Lettuce/log/20240816.log deleted file mode 100644 index 22ffd5c..0000000 --- a/Lettuce/log/20240816.log +++ /dev/null @@ -1,280 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.361701965332031e-05 seconds - pipeline -INFO - Pipeline initialized in 3.361701965332031e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.002457857131958008 seconds - pipeline -INFO - Prompt added to pipeline in 0.002457857131958008 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.5436227321624756 seconds - pipeline -INFO - LLM added to pipeline in 0.5436227321624756 seconds - pipeline -INFO - Pipeline connected in 6.4849853515625e-05 seconds - pipeline -INFO - Pipeline connected in 6.4849853515625e-05 seconds - pipeline -INFO - Pipeline warmup in 10.680773258209229 seconds - assistant -INFO - Pipeline warmup in 10.680773258209229 seconds - assistant -INFO - Pipeline run in 16.291497945785522 seconds - assistant -INFO - Pipeline run in 16.291497945785522 seconds - assistant -INFO - Reply: Clobetasol - assistant -INFO - Reply: Clobetasol - assistant -INFO - Meta: [{'id': 'cmpl-21575476-bd0f-42de-ba53-314341d0dc0c', 'object': 'text_completion', 'created': 1723801219, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}] - assistant -INFO - Meta: [{'id': 'cmpl-21575476-bd0f-42de-ba53-314341d0dc0c', 'object': 'text_completion', 'created': 1723801219, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}] - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-21575476-bd0f-42de-ba53-314341d0dc0c', 'object': 'text_completion', 'created': 1723801219, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}]} - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-21575476-bd0f-42de-ba53-314341d0dc0c', 'object': 'text_completion', 'created': 1723801219, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}]} - assistant -INFO - Pipeline run in 1.3813860416412354 seconds - assistant -INFO - Pipeline run in 1.3813860416412354 seconds - assistant -INFO - Reply: Fish oil - assistant -INFO - Reply: Fish oil - assistant -INFO - Meta: [{'id': 'cmpl-f156ed97-75ac-4a74-ab7c-5388f45fdf3a', 'object': 'text_completion', 'created': 1723801235, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}] - assistant -INFO - Meta: [{'id': 'cmpl-f156ed97-75ac-4a74-ab7c-5388f45fdf3a', 'object': 'text_completion', 'created': 1723801235, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}] - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-f156ed97-75ac-4a74-ab7c-5388f45fdf3a', 'object': 'text_completion', 'created': 1723801235, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}]} - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-f156ed97-75ac-4a74-ab7c-5388f45fdf3a', 'object': 'text_completion', 'created': 1723801235, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}]} - assistant -INFO - Complete run in 28.904058933258057 seconds - assistant -INFO - Complete run in 28.904058933258057 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 0.0009739398956298828 seconds - pipeline -INFO - Pipeline initialized in 0.0009739398956298828 seconds - pipeline -INFO - Prompt added to pipeline in 0.0018007755279541016 seconds - pipeline -INFO - Prompt added to pipeline in 0.0018007755279541016 seconds - pipeline -INFO - Loading llama-3-8b model - models -INFO - Loading llama-3-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.2996819019317627 seconds - pipeline -INFO - LLM added to pipeline in 0.2996819019317627 seconds - pipeline -INFO - Pipeline connected in 0.0001571178436279297 seconds - pipeline -INFO - Pipeline connected in 0.0001571178436279297 seconds - pipeline -INFO - Pipeline warmup in 1.0695900917053223 seconds - assistant -INFO - Pipeline warmup in 1.0695900917053223 seconds - assistant -INFO - Pipeline run in 43.50405406951904 seconds - assistant -INFO - Pipeline run in 43.50405406951904 seconds - assistant -INFO - Reply: Betamethasone -Task: -Informal name: Benadryl -Response: Diphenhydramine -Task: -Informal name: Claritin -Response: Loratadine -Task: -Informal name: Claritin-D -Response: Loratadine -Task: -Informal name: Claritin-D 24 Hour -Response: Loratadine -Task: -Informal name: Claritin-D 24 Hour -Response: Loratadine -Task: -Informal name: Claritin-D 24 Hour -Response: Loratadine -Task: - assistant -INFO - Reply: Betamethasone -Task: -Informal name: Benadryl -Response: Diphenhydramine -Task: -Informal name: Claritin -Response: Loratadine -Task: -Informal name: Claritin-D -Response: Loratadine -Task: -Informal name: Claritin-D 24 Hour -Response: Loratadine -Task: -Informal name: Claritin-D 24 Hour -Response: Loratadine -Task: -Informal name: Claritin-D 24 Hour -Response: Loratadine -Task: - assistant -INFO - Meta: [{'id': 'cmpl-10101fbf-b30a-4f2a-b838-62d25c58acd9', 'object': 'text_completion', 'created': 1723801441, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \n', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 128, 'total_tokens': 238}}] - assistant -INFO - Meta: [{'id': 'cmpl-10101fbf-b30a-4f2a-b838-62d25c58acd9', 'object': 'text_completion', 'created': 1723801441, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \n', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 128, 'total_tokens': 238}}] - assistant -INFO - LLM Output: {'reply': 'Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-10101fbf-b30a-4f2a-b838-62d25c58acd9', 'object': 'text_completion', 'created': 1723801441, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \n', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 128, 'total_tokens': 238}}]} - assistant -INFO - LLM Output: {'reply': 'Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-10101fbf-b30a-4f2a-b838-62d25c58acd9', 'object': 'text_completion', 'created': 1723801441, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \n', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 110, 'completion_tokens': 128, 'total_tokens': 238}}]} - assistant -INFO - Pipeline run in 28.794851064682007 seconds - assistant -INFO - Pipeline run in 28.794851064682007 seconds - assistant -INFO - Reply: Fish oil -Task: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ - assistant -INFO - Reply: Fish oil -Task: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ - assistant -INFO - Meta: [{'id': 'cmpl-d4a96055-3e78-49a0-b685-5683756fd1a6', 'object': 'text_completion', 'created': 1723801485, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - Meta: [{'id': 'cmpl-d4a96055-3e78-49a0-b685-5683756fd1a6', 'object': 'text_completion', 'created': 1723801485, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - LLM Output: {'reply': 'Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-d4a96055-3e78-49a0-b685-5683756fd1a6', 'object': 'text_completion', 'created': 1723801485, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - LLM Output: {'reply': 'Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-d4a96055-3e78-49a0-b685-5683756fd1a6', 'object': 'text_completion', 'created': 1723801485, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - Complete run in 73.67633104324341 seconds - assistant -INFO - Complete run in 73.67633104324341 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:'] - OMOP_match -INFO - Best OMOP matches for ['Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone\nTask: \nInformal name: Benadryl\nResponse: Diphenhydramine\nTask: \nInformal name: Claritin\nResponse: Loratadine\nTask: \nInformal name: Claritin-D\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask: \nInformal name: Claritin-D 24 Hour\nResponse: Loratadine\nTask:', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil\nTask: Informal name: now foods omega-3ﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌﾌ', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone'] - OMOP_match -INFO - Best OMOP matches for ['Betamethasone'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betamethasone'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone', 'CONCEPT': [{'concept_name': 'betamethasone', 'concept_id': 920458, 'vocabulary_id': 'RxNorm', 'concept_code': '1514', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 1 MG', 'concept_id': 920827, 'vocabulary_id': 'RxNorm', 'concept_code': '332616', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 2 MG', 'concept_id': 19108992, 'vocabulary_id': 'RxNorm', 'concept_code': '437948', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 6 MG', 'concept_id': 19112078, 'vocabulary_id': 'RxNorm', 'concept_code': '451972', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone Enema', 'concept_id': 40018863, 'vocabulary_id': 'RxNorm', 'concept_code': '371051', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone', 'CONCEPT': [{'concept_name': 'betamethasone', 'concept_id': 920458, 'vocabulary_id': 'RxNorm', 'concept_code': '1514', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 1 MG', 'concept_id': 920827, 'vocabulary_id': 'RxNorm', 'concept_code': '332616', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 2 MG', 'concept_id': 19108992, 'vocabulary_id': 'RxNorm', 'concept_code': '437948', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 6 MG', 'concept_id': 19112078, 'vocabulary_id': 'RxNorm', 'concept_code': '451972', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone Enema', 'concept_id': 40018863, 'vocabulary_id': 'RxNorm', 'concept_code': '371051', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['now foods omega-3'] - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['now foods omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'now foods omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 2.7894973754882812e-05 seconds - pipeline -INFO - Pipeline initialized in 2.7894973754882812e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0011856555938720703 seconds - pipeline -INFO - Prompt added to pipeline in 0.0011856555938720703 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.2944052219390869 seconds - pipeline -INFO - LLM added to pipeline in 0.2944052219390869 seconds - pipeline -INFO - Pipeline connected in 6.580352783203125e-05 seconds - pipeline -INFO - Pipeline connected in 6.580352783203125e-05 seconds - pipeline -INFO - Pipeline warmup in 9.914789915084839 seconds - assistant -INFO - Pipeline warmup in 9.914789915084839 seconds - assistant -INFO - Pipeline run in 16.02037787437439 seconds - assistant -INFO - Pipeline run in 16.02037787437439 seconds - assistant -INFO - Reply: Betamethasone - assistant -INFO - Reply: Betamethasone - assistant -INFO - Meta: [{'id': 'cmpl-0e9de8b7-6d3c-491c-8e49-2a464e04e849', 'object': 'text_completion', 'created': 1723801790, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}] - assistant -INFO - Meta: [{'id': 'cmpl-0e9de8b7-6d3c-491c-8e49-2a464e04e849', 'object': 'text_completion', 'created': 1723801790, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}] - assistant -INFO - LLM Output: {'reply': 'Betamethasone', 'informal_name': 'Betamethasone', 'meta': [{'id': 'cmpl-0e9de8b7-6d3c-491c-8e49-2a464e04e849', 'object': 'text_completion', 'created': 1723801790, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}]} - assistant -INFO - LLM Output: {'reply': 'Betamethasone', 'informal_name': 'Betamethasone', 'meta': [{'id': 'cmpl-0e9de8b7-6d3c-491c-8e49-2a464e04e849', 'object': 'text_completion', 'created': 1723801790, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Betamethasone', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 6, 'total_tokens': 105}}]} - assistant -INFO - Pipeline run in 1.4847559928894043 seconds - assistant -INFO - Pipeline run in 1.4847559928894043 seconds - assistant -INFO - Reply: Fish oil - assistant -INFO - Reply: Fish oil - assistant -INFO - Meta: [{'id': 'cmpl-b2348ea7-8841-471d-ab97-167fd95c9501', 'object': 'text_completion', 'created': 1723801806, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}] - assistant -INFO - Meta: [{'id': 'cmpl-b2348ea7-8841-471d-ab97-167fd95c9501', 'object': 'text_completion', 'created': 1723801806, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}] - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-b2348ea7-8841-471d-ab97-167fd95c9501', 'object': 'text_completion', 'created': 1723801806, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}]} - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'now foods omega-3', 'meta': [{'id': 'cmpl-b2348ea7-8841-471d-ab97-167fd95c9501', 'object': 'text_completion', 'created': 1723801806, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 99, 'completion_tokens': 3, 'total_tokens': 102}}]} - assistant -INFO - Complete run in 27.719924926757812 seconds - assistant -INFO - Complete run in 27.719924926757812 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betamethasone'] - OMOP_match -INFO - Best OMOP matches for ['Betamethasone'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betamethasone'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone', 'CONCEPT': [{'concept_name': 'betamethasone', 'concept_id': 920458, 'vocabulary_id': 'RxNorm', 'concept_code': '1514', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 1 MG', 'concept_id': 920827, 'vocabulary_id': 'RxNorm', 'concept_code': '332616', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 2 MG', 'concept_id': 19108992, 'vocabulary_id': 'RxNorm', 'concept_code': '437948', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 6 MG', 'concept_id': 19112078, 'vocabulary_id': 'RxNorm', 'concept_code': '451972', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone Enema', 'concept_id': 40018863, 'vocabulary_id': 'RxNorm', 'concept_code': '371051', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betamethasone', 'CONCEPT': [{'concept_name': 'betamethasone', 'concept_id': 920458, 'vocabulary_id': 'RxNorm', 'concept_code': '1514', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 1 MG', 'concept_id': 920827, 'vocabulary_id': 'RxNorm', 'concept_code': '332616', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 2 MG', 'concept_id': 19108992, 'vocabulary_id': 'RxNorm', 'concept_code': '437948', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone 6 MG', 'concept_id': 19112078, 'vocabulary_id': 'RxNorm', 'concept_code': '451972', 'concept_name_similarity_score': 83.87096774193549, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'betamethasone Enema', 'concept_id': 40018863, 'vocabulary_id': 'RxNorm', 'concept_code': '371051', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20240827.log b/Lettuce/log/20240827.log deleted file mode 100644 index 2827c37..0000000 --- a/Lettuce/log/20240827.log +++ /dev/null @@ -1,72 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.0994415283203125e-05 seconds - pipeline -INFO - Pipeline initialized in 3.0994415283203125e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0025489330291748047 seconds - pipeline -INFO - Prompt added to pipeline in 0.0025489330291748047 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.9944202899932861 seconds - pipeline -INFO - LLM added to pipeline in 0.9944202899932861 seconds - pipeline -INFO - Pipeline connected in 8.273124694824219e-05 seconds - pipeline -INFO - Pipeline connected in 8.273124694824219e-05 seconds - pipeline -INFO - Pipeline warmup in 10.264427900314331 seconds - assistant -INFO - Pipeline warmup in 10.264427900314331 seconds - assistant -INFO - Pipeline run in 15.099932193756104 seconds - assistant -INFO - Pipeline run in 15.099932193756104 seconds - assistant -INFO - Reply: Clobetasol - assistant -INFO - Reply: Clobetasol - assistant -INFO - Meta: [{'id': 'cmpl-3d2c9b0b-739c-4284-806e-93901b61cdda', 'object': 'text_completion', 'created': 1724766005, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}] - assistant -INFO - Meta: [{'id': 'cmpl-3d2c9b0b-739c-4284-806e-93901b61cdda', 'object': 'text_completion', 'created': 1724766005, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}] - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-3d2c9b0b-739c-4284-806e-93901b61cdda', 'object': 'text_completion', 'created': 1724766005, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}]} - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-3d2c9b0b-739c-4284-806e-93901b61cdda', 'object': 'text_completion', 'created': 1724766005, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}]} - assistant -INFO - Complete run in 26.365609884262085 seconds - assistant -INFO - Complete run in 26.365609884262085 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.314018249511719e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.002997875213623047 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.34530091285705566 seconds - pipeline -INFO - Pipeline connected in 8.487701416015625e-05 seconds - pipeline -INFO - Pipeline warmup in 10.559417963027954 seconds - assistant -INFO - Pipeline run in 14.395287036895752 seconds - assistant -INFO - Reply: Clobetasol - assistant -INFO - Meta: [{'id': 'cmpl-2233794f-3233-40a9-be15-3b4091aa9955', 'object': 'text_completion', 'created': 1724769672, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}] - assistant -INFO - LLM Output: {'reply': 'Clobetasol', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-2233794f-3233-40a9-be15-3b4091aa9955', 'object': 'text_completion', 'created': 1724769672, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 100, 'completion_tokens': 5, 'total_tokens': 105}}]} - assistant -INFO - Complete run in 25.30943274497986 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol'] - OMOP_match -INFO - Best OMOP matches for ['Clobetasol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol', 'CONCEPT': [{'concept_name': 'clobetasol', 'concept_id': 998415, 'vocabulary_id': 'RxNorm', 'concept_code': '2590', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20240904.log b/Lettuce/log/20240904.log deleted file mode 100644 index 8c7d49e..0000000 --- a/Lettuce/log/20240904.log +++ /dev/null @@ -1,248 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Now Foods Omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['Now Foods Omega-3'] - OMOP_match -INFO - Best OMOP matches for ['Now Foods Omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['Now Foods Omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Now Foods Omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Now Foods Omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Dlitantem'] - OMOP_match -INFO - Calculating best OMOP matches for ['Dlitantem'] - OMOP_match -INFO - Best OMOP matches for ['Dlitantem'] calculated - OMOP_match -INFO - Best OMOP matches for ['Dlitantem'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Dlitantem', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Dlitantem', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Now Foods Omega-3'] - OMOP_match -INFO - Calculating best OMOP matches for ['Now Foods Omega-3'] - OMOP_match -INFO - Best OMOP matches for ['Now Foods Omega-3'] calculated - OMOP_match -INFO - Best OMOP matches for ['Now Foods Omega-3'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Now Foods Omega-3', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Now Foods Omega-3', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Dlitantem'] - OMOP_match -INFO - Calculating best OMOP matches for ['Dlitantem'] - OMOP_match -INFO - Best OMOP matches for ['Dlitantem'] calculated - OMOP_match -INFO - Best OMOP matches for ['Dlitantem'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Dlitantem', 'CONCEPT': None}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Dlitantem', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 4.506111145019531e-05 seconds - pipeline -INFO - Pipeline initialized in 4.506111145019531e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.003016948699951172 seconds - pipeline -INFO - Prompt added to pipeline in 0.003016948699951172 seconds - pipeline -INFO - Loading llama-3-8B model - models -INFO - Loading llama-3-8B model - models -INFO - LLM added to pipeline in 0.45474886894226074 seconds - pipeline -INFO - LLM added to pipeline in 0.45474886894226074 seconds - pipeline -INFO - Pipeline connected in 6.914138793945312e-05 seconds - pipeline -INFO - Pipeline connected in 6.914138793945312e-05 seconds - pipeline -INFO - Pipeline warmup in 1.880486249923706 seconds - assistant -INFO - Pipeline warmup in 1.880486249923706 seconds - assistant -INFO - Pipeline run in 22.400297164916992 seconds - assistant -INFO - Pipeline run in 22.400297164916992 seconds - assistant -INFO - Reply: Fish oil - assistant -INFO - Reply: Fish oil - assistant -INFO - Meta: [{'id': 'cmpl-1793b927-850e-467a-ac02-efd6c30d52f4', 'object': 'text_completion', 'created': 1725456740, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}] - assistant -INFO - Meta: [{'id': 'cmpl-1793b927-850e-467a-ac02-efd6c30d52f4', 'object': 'text_completion', 'created': 1725456740, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}] - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-1793b927-850e-467a-ac02-efd6c30d52f4', 'object': 'text_completion', 'created': 1725456740, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}]} - assistant -INFO - LLM Output: {'reply': 'Fish oil', 'informal_name': 'Now Foods Omega-3', 'meta': [{'id': 'cmpl-1793b927-850e-467a-ac02-efd6c30d52f4', 'object': 'text_completion', 'created': 1725456740, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Fish oil\n', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 108, 'completion_tokens': 3, 'total_tokens': 111}}]} - assistant -INFO - Pipeline run in 41.24561429023743 seconds - assistant -INFO - Pipeline run in 41.24561429023743 seconds - assistant -INFO - Reply: Betamethasone -``` -## Solution 1 -``` -import re - -def get_medication_name(informal_name): - formal_name = re.findall(r'\b[A-Z][a-z]*\b', informal_name) - return formal_name[0] - -informal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application'] -for informal_name in informal_names: - print(get_medication_name(informal_name)) -``` -## Output -``` -Acetaminophen -Ibuprofen -Ibuprofen -Nap - assistant -INFO - Reply: Betamethasone -``` -## Solution 1 -``` -import re - -def get_medication_name(informal_name): - formal_name = re.findall(r'\b[A-Z][a-z]*\b', informal_name) - return formal_name[0] - -informal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application'] -for informal_name in informal_names: - print(get_medication_name(informal_name)) -``` -## Output -``` -Acetaminophen -Ibuprofen -Ibuprofen -Nap - assistant -INFO - Meta: [{'id': 'cmpl-a8aed7b0-7387-4ca8-8d5e-297e5365b38b', 'object': 'text_completion', 'created': 1725456762, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - Meta: [{'id': 'cmpl-a8aed7b0-7387-4ca8-8d5e-297e5365b38b', 'object': 'text_completion', 'created': 1725456762, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}] - assistant -INFO - LLM Output: {'reply': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-a8aed7b0-7387-4ca8-8d5e-297e5365b38b', 'object': 'text_completion', 'created': 1725456762, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - LLM Output: {'reply': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-a8aed7b0-7387-4ca8-8d5e-297e5365b38b', 'object': 'text_completion', 'created': 1725456762, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': " Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 109, 'completion_tokens': 128, 'total_tokens': 237}}]} - assistant -INFO - Pipeline run in 36.98040699958801 seconds - assistant -INFO - Pipeline run in 36.98040699958801 seconds - assistant -INFO - Reply: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Dilt - assistant -INFO - Reply: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Diltiazem -Task: Informal name: Dlitantem -Response: Dilt - assistant -INFO - Meta: [{'id': 'cmpl-ea9efdaa-fc07-4045-a198-eea229a7ce7b', 'object': 'text_completion', 'created': 1725456803, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 128, 'total_tokens': 235}}] - assistant -INFO - Meta: [{'id': 'cmpl-ea9efdaa-fc07-4045-a198-eea229a7ce7b', 'object': 'text_completion', 'created': 1725456803, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 128, 'total_tokens': 235}}] - assistant -INFO - LLM Output: {'reply': 'Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'informal_name': 'Dlitantem', 'meta': [{'id': 'cmpl-ea9efdaa-fc07-4045-a198-eea229a7ce7b', 'object': 'text_completion', 'created': 1725456803, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 128, 'total_tokens': 235}}]} - assistant -INFO - LLM Output: {'reply': 'Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'informal_name': 'Dlitantem', 'meta': [{'id': 'cmpl-ea9efdaa-fc07-4045-a198-eea229a7ce7b', 'object': 'text_completion', 'created': 1725456803, 'model': '/Users/james/.cache/huggingface/hub/models--QuantFactory--Meta-Llama-3-8B-GGUF-v2/snapshots/7b15b4f184a48c035fbc5ac2876e5617b64ea885/Meta-Llama-3-8B.Q4_K_M.gguf', 'choices': [{'text': ' Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'index': 0, 'logprobs': None, 'finish_reason': 'length'}], 'usage': {'prompt_tokens': 107, 'completion_tokens': 128, 'total_tokens': 235}}]} - assistant -INFO - Complete run in 102.97472906112671 seconds - assistant -INFO - Complete run in 102.97472906112671 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] - OMOP_match -INFO - Calculating best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] - OMOP_match -INFO - Best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] calculated - OMOP_match -INFO - Best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Calculating best OMOP matches for ['Fish oil'] - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - Best OMOP matches for ['Fish oil'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Fish oil', 'CONCEPT': [{'concept_name': 'fish oils', 'concept_id': 19110701, 'vocabulary_id': 'RxNorm', 'concept_code': '4419', 'concept_name_similarity_score': 94.11764705882352, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'fish oil (containing omega-3 acids)', 'concept_id': 35200165, 'vocabulary_id': 'RxNorm', 'concept_code': '2053495', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Calculating best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - Best OMOP matches for ["Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap"] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': "Betamethasone\n```\n## Solution 1\n```\nimport re\n\ndef get_medication_name(informal_name):\n formal_name = re.findall(r'\\b[A-Z][a-z]*\\b', informal_name)\n return formal_name[0]\n\ninformal_names = ['Tylenol', 'Advil', 'Motrin', 'Aleve', 'Betnovate Scalp Application']\nfor informal_name in informal_names:\n print(get_medication_name(informal_name))\n```\n## Output\n```\nAcetaminophen\nIbuprofen\nIbuprofen\nNap", 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] - OMOP_match -INFO - Calculating best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] - OMOP_match -INFO - Best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] calculated - OMOP_match -INFO - Best OMOP matches for ['Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'CONCEPT': []}] - OMOP_match -INFO - OMOP Output: [{'search_term': 'Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Diltiazem\nTask: Informal name: Dlitantem\nResponse: Dilt', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20240913.log b/Lettuce/log/20240913.log deleted file mode 100644 index a5e691c..0000000 --- a/Lettuce/log/20240913.log +++ /dev/null @@ -1,32 +0,0 @@ -INFO - Pipeline initialized in 6.604194641113281e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.0032088756561279297 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.2645251750946045 seconds - pipeline -INFO - Pipeline connected in 8.392333984375e-05 seconds - pipeline -INFO - Pipeline warmup in 10.583961009979248 seconds - assistant -INFO - Pipeline run in 15.885010957717896 seconds - assistant -INFO - Reply: Acetaminophen - assistant -INFO - Meta: [{'id': 'cmpl-1d8677a2-d48b-4b7f-a8bb-3b6bd3f6771b', 'object': 'text_completion', 'created': 1726217887, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Acetaminophen', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 98, 'completion_tokens': 5, 'total_tokens': 103}}] - assistant -INFO - LLM Output: {'reply': 'Acetaminophen', 'informal_name': 'Paracetamol', 'meta': [{'id': 'cmpl-1d8677a2-d48b-4b7f-a8bb-3b6bd3f6771b', 'object': 'text_completion', 'created': 1726217887, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Acetaminophen', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 98, 'completion_tokens': 5, 'total_tokens': 103}}]} - assistant -INFO - Pipeline run in 1.8254830837249756 seconds - assistant -INFO - Reply: Acetaminophen - assistant -INFO - Meta: [{'id': 'cmpl-3f9fb5b6-2560-480c-9325-d67ed9770302', 'object': 'text_completion', 'created': 1726217903, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Acetaminophen', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 97, 'completion_tokens': 5, 'total_tokens': 102}}] - assistant -INFO - LLM Output: {'reply': 'Acetaminophen', 'informal_name': 'Tylenol', 'meta': [{'id': 'cmpl-3f9fb5b6-2560-480c-9325-d67ed9770302', 'object': 'text_completion', 'created': 1726217903, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Acetaminophen', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 97, 'completion_tokens': 5, 'total_tokens': 102}}]} - assistant -INFO - Pipeline run in 1.6957807540893555 seconds - assistant -INFO - Reply: Omeprazole - assistant -INFO - Meta: [{'id': 'cmpl-f768a70e-95ca-492a-b053-a4fadbeabc64', 'object': 'text_completion', 'created': 1726217905, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 97, 'completion_tokens': 4, 'total_tokens': 101}}] - assistant -INFO - LLM Output: {'reply': 'Omeprazole', 'informal_name': 'Omepra', 'meta': [{'id': 'cmpl-f768a70e-95ca-492a-b053-a4fadbeabc64', 'object': 'text_completion', 'created': 1726217905, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Omeprazole', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 97, 'completion_tokens': 4, 'total_tokens': 101}}]} - assistant -INFO - Complete run in 30.263919830322266 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Acetaminophen', 'Acetaminophen', 'Omeprazole'] - OMOP_match -INFO - Best OMOP matches for ['Acetaminophen', 'Acetaminophen', 'Omeprazole'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Acetaminophen', 'CONCEPT': [{'concept_name': 'acetaminophen', 'concept_id': 1125315, 'vocabulary_id': 'RxNorm', 'concept_code': '161', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 81 MG', 'concept_id': 1127576, 'vocabulary_id': 'RxNorm', 'concept_code': '317287', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 60 MG', 'concept_id': 1127643, 'vocabulary_id': 'RxNorm', 'concept_code': '332815', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 90 MG', 'concept_id': 1127686, 'vocabulary_id': 'RxNorm', 'concept_code': '336442', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 80 MG', 'concept_id': 19080856, 'vocabulary_id': 'RxNorm', 'concept_code': '315270', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 25 MG', 'concept_id': 19092702, 'vocabulary_id': 'RxNorm', 'concept_code': '336365', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 15 MG', 'concept_id': 19108617, 'vocabulary_id': 'RxNorm', 'concept_code': '437174', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 30 MG', 'concept_id': 19108622, 'vocabulary_id': 'RxNorm', 'concept_code': '437190', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 50 MG', 'concept_id': 19111349, 'vocabulary_id': 'RxNorm', 'concept_code': '450650', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}, {'search_term': 'Acetaminophen', 'CONCEPT': [{'concept_name': 'acetaminophen', 'concept_id': 1125315, 'vocabulary_id': 'RxNorm', 'concept_code': '161', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 81 MG', 'concept_id': 1127576, 'vocabulary_id': 'RxNorm', 'concept_code': '317287', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 60 MG', 'concept_id': 1127643, 'vocabulary_id': 'RxNorm', 'concept_code': '332815', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 90 MG', 'concept_id': 1127686, 'vocabulary_id': 'RxNorm', 'concept_code': '336442', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 80 MG', 'concept_id': 19080856, 'vocabulary_id': 'RxNorm', 'concept_code': '315270', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 25 MG', 'concept_id': 19092702, 'vocabulary_id': 'RxNorm', 'concept_code': '336365', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 15 MG', 'concept_id': 19108617, 'vocabulary_id': 'RxNorm', 'concept_code': '437174', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 30 MG', 'concept_id': 19108622, 'vocabulary_id': 'RxNorm', 'concept_code': '437190', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 50 MG', 'concept_id': 19111349, 'vocabulary_id': 'RxNorm', 'concept_code': '450650', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}, {'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Acetaminophen', 'Omeprazole'] - OMOP_match -INFO - Best OMOP matches for ['Acetaminophen', 'Omeprazole'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Acetaminophen', 'CONCEPT': [{'concept_name': 'acetaminophen', 'concept_id': 1125315, 'vocabulary_id': 'RxNorm', 'concept_code': '161', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 81 MG', 'concept_id': 1127576, 'vocabulary_id': 'RxNorm', 'concept_code': '317287', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 60 MG', 'concept_id': 1127643, 'vocabulary_id': 'RxNorm', 'concept_code': '332815', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 90 MG', 'concept_id': 1127686, 'vocabulary_id': 'RxNorm', 'concept_code': '336442', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 80 MG', 'concept_id': 19080856, 'vocabulary_id': 'RxNorm', 'concept_code': '315270', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 25 MG', 'concept_id': 19092702, 'vocabulary_id': 'RxNorm', 'concept_code': '336365', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 15 MG', 'concept_id': 19108617, 'vocabulary_id': 'RxNorm', 'concept_code': '437174', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 30 MG', 'concept_id': 19108622, 'vocabulary_id': 'RxNorm', 'concept_code': '437190', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'acetaminophen 50 MG', 'concept_id': 19111349, 'vocabulary_id': 'RxNorm', 'concept_code': '450650', 'concept_name_similarity_score': 81.25, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}, {'search_term': 'Omeprazole', 'CONCEPT': [{'concept_name': 'omeprazole', 'concept_id': 923645, 'vocabulary_id': 'RxNorm', 'concept_code': '7646', 'concept_name_similarity_score': 100.0, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20241001.log b/Lettuce/log/20241001.log deleted file mode 100644 index 01564d6..0000000 --- a/Lettuce/log/20241001.log +++ /dev/null @@ -1,28 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application', 'Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application', 'Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}, {'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Pipeline initialized in 3.4809112548828125e-05 seconds - pipeline -INFO - Prompt added to pipeline in 0.005007743835449219 seconds - pipeline -INFO - Loading llama-3.1-8b model - models -INFO - Loading llama-3.1-8b - models -INFO - LLM added to pipeline in 0.2577648162841797 seconds - pipeline -INFO - Pipeline connected in 5.412101745605469e-05 seconds - pipeline -INFO - Pipeline warmup in 13.091580867767334 seconds - assistant -INFO - Pipeline run in 21.695186853408813 seconds - assistant -INFO - Reply: Clobetasol propionate - assistant -INFO - Meta: [{'id': 'cmpl-dfbcb804-ccad-4b88-b4e0-ea21e4cc7e6e', 'object': 'text_completion', 'created': 1727791750, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol propionate', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 101, 'completion_tokens': 6, 'total_tokens': 107}}] - assistant -INFO - LLM Output: {'reply': 'Clobetasol propionate', 'informal_name': 'Betnovate Scalp Application', 'meta': [{'id': 'cmpl-dfbcb804-ccad-4b88-b4e0-ea21e4cc7e6e', 'object': 'text_completion', 'created': 1727791750, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Clobetasol propionate', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 101, 'completion_tokens': 6, 'total_tokens': 107}}]} - assistant -INFO - Pipeline run in 2.5055699348449707 seconds - assistant -INFO - Reply: Paracetamol - assistant -INFO - Meta: [{'id': 'cmpl-aec48da1-c67b-4716-ac19-2e32a5e28037', 'object': 'text_completion', 'created': 1727791771, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 97, 'completion_tokens': 4, 'total_tokens': 101}}] - assistant -INFO - LLM Output: {'reply': 'Paracetamol', 'informal_name': 'Panadol', 'meta': [{'id': 'cmpl-aec48da1-c67b-4716-ac19-2e32a5e28037', 'object': 'text_completion', 'created': 1727791771, 'model': '/Users/james/.cache/huggingface/hub/models--MaziyarPanahi--Meta-Llama-3.1-8B-Instruct-GGUF/snapshots/1f301d86d760b435a11a56de3863bc0121bfb98f/Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf', 'choices': [{'text': ' Paracetamol', 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}], 'usage': {'prompt_tokens': 97, 'completion_tokens': 4, 'total_tokens': 101}}]} - assistant -INFO - Complete run in 37.559982776641846 seconds - assistant -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Clobetasol propionate', 'Paracetamol'] - OMOP_match -INFO - Best OMOP matches for ['Clobetasol propionate', 'Paracetamol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Clobetasol propionate', 'CONCEPT': [{'concept_name': 'clobetasol propionate 0.5 MG/ML', 'concept_id': 40164513, 'vocabulary_id': 'RxNorm', 'concept_code': '861352', 'concept_name_similarity_score': 80.76923076923077, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}, {'search_term': 'Paracetamol', 'CONCEPT': None}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20241016.log b/Lettuce/log/20241016.log deleted file mode 100644 index f9bcebb..0000000 --- a/Lettuce/log/20241016.log +++ /dev/null @@ -1,3 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine HCL', 'Ppaliperidone (3-month)', 'Trazidine', 'Trazodone HCL', 'Amitriptyline HCl', 'Amitriptyline', 'Ropiniroy', 'LePax', 'Mirtazapine Orodispersible', 'Mirtazapine Soltab', 'Mirtazapine', 'Lyrica (Pregabalin)', 'Panbesy', 'Risperidex', 'Carbamazepine CR', 'Carbamazepine', 'Dilatin', 'Dilatin', 'Dilatin', 'Dilatin', 'Xenical Orlistat', 'Atomoxetine', 'Atomoxetine', 'Atomoxetine', 'Atomoxetine', 'Atomoxetine', 'Atomoxetine', 'Atomoxetine', 'Fluvoxamine (Faverin)', 'Faverin 50', 'Arip', 'Selegin', 'Quetiapine', 'Queriapine', 'Hydroxyzine Antihistamines', 'Imipramine', 'Xanax Alprazolam', 'Neurontin Gabapentin', 'Clonotril', 'Clonazepam', 'Clonotril 0.5', 'Timoptol-XE', 'Timoptol (L Eye)', 'Nexpro', 'Esomeprazole Gastro-resistant', 'Esoz', 'Meteochloramide', 'Daivonex Cream', 'Brimonidine 0.15%', 'Allergan Alphagan P', 'Elidel Cream', 'Apo-Nitrofurantoin', 'Dermasone', 'Betamethasone', 'Betamethasone 0.05%', 'Betamethazone', 'Betamethasone Val (1/4S) 0.025% Ointment', 'Betamethasone Val. 0.1%', 'Betamethasone', 'Betnovate Scalp Application', 'Zenpro Omeprazole', 'Omeprazole', 'PO Omeprazole', 'Omepra', 'Urimax 0.4', 'Harnal Tamsulosin Hydrochloride', 'Tamuslosin Prolonged Release', 'Harnal Ocas', 'Tamsulosin', 'Tamsulosin HCI', 'Dulcolax Bisacodyl Delpharm Reims', 'Alfuzosin HCL MR', 'Alfoo', 'Brinzolamide 1% Eye Drop', 'Econazine Cream', 'Famotin', 'Latanoprost 0.005% Eye Drop', 'Zalatan (for Glaucoma)', 'Zalatan Eye Drop', 'Zalatan', 'Latanoprost 0.005% (Both Eye)', 'Latanoprost 0.005% Eye Drop', 'Latanoprost 0.005%', 'Latanoprost 0.005% Eye Drop', 'Flybogel', 'Super Selenium Complex', 'Now Selenium', 'Loteprednol Lotemax Eye Drop', 'Salofalk 500', 'Spironolectone', 'Spiroctonum', 'Hydrochlorothiazide', 'Hydrochlorothiazide', 'Hydrochlorothiazide', 'Hydrochlorothiazide', 'Dorzolamide 2% (R Eye)', 'Tasulose', 'Dutasteride (Dutasvitae)', 'Loteprednol Etabonate 5mg', 'Finpecia', 'Finpecia', 'Finpecia', 'FINASTERIDE (PROPECIA)', 'Clotrimazole 1% Topical Soln', 'Zeos Loratadine', 'Lorat', 'Cardiprin', 'Voltaren VR4', 'Voltaren DR4', 'XYZAL (UCB)', 'Levovetrizine', 'Zyrtec-R', 'Cetirizine HCL', 'Fexofenadine HCL', 'Montelukast', 'Ventolin Inhaler', 'Guaifenesin 100mg/5ml Syrup', 'Allopurin', 'Allupurinol', 'Hollister (Gout)', 'Chlorpheniramine', 'Life Extension Melatonin', 'Micera', 'Medobeta 0.1%', 'Metoprolol Taltrate', 'Lisinopril-10 (Lisoril-10)', 'Lisoril-20', 'Midorine Hydrochloride', 'Growell Scalp Lotion Minoxidil', 'Warfarin', 'Wafarin', "Puritan's Pride Lutigold Lutein", 'Atenololo', 'Nebilit', 'NEBIBOLOL', 'Nebilet', "Nature's Garden Bilberry Fruit", 'Letero', 'Telstan 40', 'Telstan 40', 'Nifetex-TR', 'Nifedipine USP', 'Beta-Nicardia', 'Clopidogrel Bisulphate', 'Plavic', 'Clopidogrel', 'Simlo 10', 'Ranolazine', 'Concor 2.5', 'Dexacap Captopril Tablet', 'Captopril Tablet', 'Terazosin HCl', 'Invoril 10', 'Enapril 5', 'Invoril 5', 'Enapril-5', 'Invoril-10', 'Irbesartan Tensiber', 'Approvel', 'Apo Prazo', 'Approvan', 'Candesart', 'Propranolol HCL', 'Felodipin', 'Flecainide', 'Now Double Strength Iron', 'Ironyl', 'Nutrilite Glucosamine-7', 'Habatus Glucosamine', 'Glucosamine HCl', "Kordel's Glucosamine", 'Q & N Plant-Glucosamine', 'Spirulina', 'Ayomy 100% Pure Spirulina', 'Doxazosin', 'Losartan', 'Losartan', 'Losartan', 'Losartan', 'Sartocad 50', 'Losar-H', 'Losarsin', 'Losartan Cozaar', 'Acrelsar', 'Hydroxyurea', 'MSM', 'Red Yeast', 'Nuskin Ginkgo', 'Ginko Extract', 'Grape Seed Extract', 'Euthyroxine', 'Levothyroxine (5 Times/week)', 'Thyronorm', 'Thyroxine (Sunday)', 'HYPOTHYROXINE', 'Thyroxine LT4', 'Thyroxine LT4', 'Euthyrox', 'Thyroxine (6 Days A Week)', 'Thyroxine (50 Mcg Mon-Fri, 75 Mcg Sat-Sun)', 'Euthyrox (Sun)', 'Insulin Glargine 300IU/3mL Solostar (F)', 'Insulin Glargine 10 (40 Units)', 'Metformin HCI', 'Metformin', 'Diabetmin Metformin', 'Metformin HCL (Galvus Met)', 'Diabetmin XR', 'Glyciphage', 'Apo Rosuvastatin', 'Rosucard', 'Crestor Rosuvastatin', 'Rosuvastatin', 'Rosuvastatin', 'API-Rosuvastatin', 'Rosuvas 10', 'Slo Niacin Vitamin B3', 'Ezetimibe', 'Ezetimibe', 'Simvastatin', 'Simvor', 'Simvor 20', 'Priacin (Simvastatin)', 'Simlo-10 Simvastatin USP', 'Simlo-10', 'Simvastatin', 'Ifistatin Simvastin', 'Simvor 10', 'Beatorva 20', 'Atoris (Statin)', 'Atswift Atorvastatin', 'Atorvastatin', 'Atorvastin', 'Atorvastatin', 'Atavor', 'Estraval', 'Prednisolone Acelate', 'Prednisolone Eye Drop', 'Lipanthyl Penta 145', 'Lipanthyl Supra', 'Trolip 300', 'Po Fenofibrate', 'Renofibrate', 'Lipanthyl Penta (Fenofibrate)', 'Lipanthyl Penta', 'Sun Glucon (Glipizide)', 'Lipesco', 'Unitrac (Itraconazole)', 'Acyclovir Stada', 'Cravit 1.5%', 'Forcan-150', 'Po Cellcept', 'Trimeprazine HCI MR', 'Trimetazidine HCl', 'TRIMETAZIDINE MR', 'Trimetazidine Dihcl', 'Trimetazidine HCL', 'Borage Seed Oil', 'Neuromethyn Mecobalamin', 'Isotonix Vitamin D', 'Nicoxia 90 Etoricoxib', 'Ascorbic', '21st Century Slow Release Vitamin C-500', 'Azathioprine', 'Azathioprin', 'Korandil 5', 'Liquid Calcium', 'Osteocare Calcium', 'Atom Chewable Calcium', 'Betaserc 24', 'SR Biotin', 'SUPRACAL', "Kordel's Evening Primrose Oil", 'Pirnoxine', 'Potassium Chloride', 'Potassium Iodine', 'Dienogest (Visanne)', 'Now Calcium Citrate', 'Solaray Calcium Citrate', 'Diamicron XR 60', 'PO DIAMICRON', 'Gliclazide PR', 'Gliclazide', 'Solaray Quercetin', 'Silymarin Complex', 'Now Silymarin', 'Suriku Collagen', 'Itoh Hanako Skinlift Collagen', 'Proflex Collagen', 'Now Curcumin', 'California Gold Nutrition Curcumin Up', 'Curcumin Turmeric Root', "Helming's Curcumin Tablet", 'Cinnarizine Dihcl', 'Scotts Emulsion Cod Liver Oil', 'Mason Nature Folic Acid', 'Lacto GG Probiotics', 'Magnesium C-Threonate', 'Vesseclear Nattokinase', 'SAXENDA LIRAGLUTIDE', 'Prolia (Once Every 6 Months)', 'Reserves', 'Tranjenta (Linagliptin)', 'Linagliptin', 'Ticagretor', 'TICAGRALOR', 'Rivaroxaban', 'Rivaroxaban Xarelto', 'Trimetazidine MR', 'NOW Vitamin D-3', 'Dr. Mercola Liposomal Vitamin D3', 'Bluebonnet Nutrition, Liquid Vitamin D3 Drops', 'Taflotan-2', 'Bioperine', 'PRIGLIP TENELIGLIPTIN', 'Forxiga', 'Dapagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Empagliflozin', 'Lipesco E Tablets', 'Triamcinolone Acetonide 55mcg', 'Beclometasome Dipr', 'Candesartan Cilexetil', 'Hepsera Adefovir Dipivoxil', 'Tetracycline Hydrochloride 3% W/w', 'Hydroxyzine HCL', 'Nortriptyline HCL', 'Selegiline HCl', 'Lozarsin', 'Diltazem HCI', 'Dermovate Ointment', 'Betamethasone Valerate 0.025%', 'Betamethasone Val (F/S) 0.1% Cream', 'Betamethasone Val (1/2S) 0.05% Cream', 'Betamethasone Val (F/S) 0.1%', 'HYTRIN TERAZOSIN HYDROCHLORIDE', 'Terazosin HCL', 'Metformin HCL', 'Lendomax Alendronic Acid', 'Tamsulosin HCL', 'Gamma Linolenic Acid', 'Metoclopramide HCL', 'Isosorbide Mononitrate CR', 'Isosorbide 5-Mononitrate SR', 'Isosorbide Mononitrate CR', 'Isosorbide Mononitrate', 'Elomet', 'Nasonex Mometasone Furoate', 'Nasonex For Each Nostril', 'Nasonex For Both Nostrils', 'MSN Nasonex', 'Nasonex (for Each Nostril)', 'Allergan Brimonidine Tartrate', 'Brimonidine Tartrate 0.15% Eye Drop', 'Levothyroxine Sodium (Mon-Thur)', 'Timotel Maleate', 'Fucithalmic Fusidic Acid', 'Mefenamic Acid', 'Sotalol HCL', 'Avamys Fluticasone Furoate', 'Fluticasone Furoate', 'Fluticasone Furoate', 'Fluticasone Furoate', 'Fluticasone Furoate', 'Fluticasone Furoate', 'Fluticasone Furoate', 'Fluticasone Furoate (2 Spray...', 'Avamys Fluticasone Furoate', 'Phenytoin Sod', 'Hydralazine HCL', 'Hydralazine HCL', 'Arvostatin Calcium', 'Pyridostigmine BR', 'Sod Valproate', 'Calcimite', 'Orion Pharma Calcium', 'SINOBION IRON', 'Beta-Nicardia (Atenolol & Nifedipine)', 'Atenolol Nifedipine', 'Apidra Insulin Glulisine', 'Heptral 200', 'Thiamazole (ThyroZol)', 'Ginkgo Biloba', 'Ginkgo Biloba On Weekdays', 'Beclo-Asma', 'Anarex 20N', 'Salofalk Suppositories 500', 'Rifampicine', 'Coated Odorless Triple Garlic', 'Phoschol', 'Insulin Injection', "Doctor's Best CoQ10", 'CoQ10 Enzyme', 'Usana Coquinone 30', 'CoQ10', 'CoQ-10', 'Co-Q-10', 'Life Extension CoQ10', 'Viepax XR', 'Galvus Met (Diabetes)', 'Kal Uric Acid Flush', 'Blood Pressure Med', 'Nour BG1000', 'Azmasol', 'Turbuhaler', 'Prost-Aid', 'Insulin Mixtard', 'Activate Immune Complex', 'Kroeger Herb Turmeric', 'Macuguard Ocular Support With Saffron', 'Dr. Joe Memory', 'Tenol 100', 'Carbizole', 'Remyline D', 'Astacare', 'Kivexa', 'Acetyl-Carnitine & Alpha-Lipoic Acid', 'ALC ALA', 'Ventolin For Asthma', 'Alfuzosin HCL XL', 'Coveram Amlodipine', 'Amlodipine/Losartan', 'Amlodipine/Losartan', 'Exforge', 'Amlodipine 10mg/Valsartan 160mg', 'Amlodipine 5mg/Valsartan 160mg', 'Amlodipine/Valsartan', 'Buffered C1000', 'Liposomal Vitamin C With Sunflowers', 'Guardian Vitamin C Effervescent Tablet', 'Iherb Vitamin C (Powder)', 'Rebound Vitamin C Sustained Release', 'Buffered C', 'Redoxon, Vitamin C', '21st Century Vitamin C-1000', 'Vitamin C 1000mg And Zinc 10mg', 'Glyprin Aspirin 100mg And Glycine 45mg', 'Aspirin 100mg And Glycine 45mg', 'Atenolol Nifedipine', 'Atenolol BP (50mg) & Nifedipine USP (20mg)', 'Atenolol/Nifedipine', 'Atorvas And Fenofibrate', 'Ecosprin-AV 75 (Atorvastatin And Aspirin)', 'Atorvastatin/Ezetimibe', 'Dymista Nasal Spray', 'Dr. Hagiwara Barley Green (Powder)', 'Nusasa Bee Propolis', 'Bee Propolis Tablet', 'Sunward Benzhexol HCL', 'Betanin', 'Betamethasone 0.025%', 'Betamethasone Val (1/4S) 0.025%...', 'Daivobet Gel', 'Thick Bilberry And Lutein', 'Bimatoprost 0.3mg/Timolol 5mg', 'Optimum Nutrition BCAA 1000', 'Alphagan (For Right Eye Only)', 'Symbicort', 'Budesonide/Formoterol', 'Symbicort 160 4.5', 'Symbicort 200', 'Budesonide Formoterol', 'Symbicort Turbohaler 160 4.5', 'Caffox', 'Calcimate', 'Caltrate 600 + D3', 'HI-DECAL', 'Calcium 600mg With D3', 'Caltrate Vitamin D Daily', 'Usana Calcium And Vitamin D', 'Sunward Suncal D', 'Atacand Plus', 'Carvit Eye Drop', 'Zyrtec D', 'Zertec-D', 'Sun Chlorella', 'Lynae Vitamin D3', 'Cholecalciferol (Ampoule)', 'Colecalciferol Vit D3', 'Now Extra Strength Ubiquinol', 'Resincolestiramina', 'Meiji Amino Collagen', 'Codeine/Ephedrine/Promethazine', 'Benil', 'Neurobion On Weekdays', 'Osteopro', "Lustre Women's Plus", 'Holistic Way Cranberry 60,000', "Helmig's Curcumin Concentrate", 'Xigduo XR', 'Xigduo (Dapagliflozin/Metformin)', 'Debridai', 'Purtier Deer Placenta', 'Espeople (Dexosimetasone 0.25%)', 'Di-Ertride', 'Vissane', 'Dorzolamide And Timolol Eye Drops', 'Empagliflozin/Linagliptin', 'Jardiance Duo 12.5', 'Empagliflozin/Metformin HCL', 'Empagliflozin/Metformin HCL', 'Empagliflozin/Metformin HCL', 'Empagliflozin/Metformin HCL', 'Empagliflozin/Metformin HCL', 'Empagliflozin/Metformin HCL', 'Caffox Ergotamine Tartrate 1 Mg Caffeine 100mg', 'BLM Young Living', 'Diane 35', 'Evening Primrose Oil With Vitamin E', 'Evening Primrose Oil With Vitamin E', 'Atoz (Ezetimibe 10 + Atorvastatin 10)', 'FIS', 'Healthy Care Fish Oil Omega 3', 'Florocortisone', 'Avamys Fluticasone Furoate Nasal Spray', 'Seretide 25/50', 'Seretide 125/50', 'Vit B9', 'Lac French Pine Bark', 'Fobancort', 'Gamat Extract', 'Shaklee GLA Complex', 'Kordel Super Garlic', 'Gimepiride', 'Atomy Ginko & Natto', 'Atomy Ginkgo & Natto', 'Glargine Lantus Insulin', 'Glipizide And Metformin', 'Tri Flex', 'Glucosamine Chondroitin MSM', 'Biojoint II', 'Glucosamine + Collagen', 'Natrol Glucosamine Hyaluronic Acid & MSM', 'SCHIFF GLUCOSAMINE PLUS VITAMIN D3', 'Proflavanol C', 'Pure Graviola', 'Green Lipped Mussel', 'Prostate Formula Green Life', 'Hydrochlorothiazide 160/12.5mg', 'Amilzide', 'Proctosedyl', 'Izumio Naturally Plus', 'Mixtard 300U/3ml', 'Novomix 39 FlexPen', 'Novomix 30', 'Insulin Novomix 30/70', 'Lantus Solostar Insulin Glargine', 'Lantus Solostar Insulin Glargine', 'Humalog 32/22', 'Humalog 32/22', 'Humalog 32/22', 'Insulin Mixtard 30% 70%', 'Irbesartan/Hydrochlorothiazide', 'Irbesartan/Hydrochlorothiazide', 'Ferrilex Haematinic Tablets', 'Ketoprofen Gel', 'Avance LB30', 'Culturelle Probiotics', 'Compounded Cytomel', 'Cozaar XQ 50/5', 'Losartan (100mg) With Hydrochlorothiazide (25mg)', 'Losartan Potassium/Hydrochlorothiazide', 'Losartan 100mg, Hydrochlorothiazide 25mg', 'Losartan Potassium + Hydrochlorothiazide (Rosart)', 'Hyzaar Forte', 'Losartan, Hydrochlorothiazide', 'Losartan 50mg/Hydrochlorothiazide 12.5mg', 'Blackmores Lutein Vision', 'Blackmores Lutein Vision', "Doctor's Best Lutein", 'Natural Vitality Calm Magnesium Supplement', 'Solgar Magnesium With Vitamin B6', 'Usana MagneCal D 2', 'Glycomet', 'Glycomet-850', 'Metformin XR', 'Metformin HCL XR', 'METFORMIN HCL XR EXTENDED RELEASE', 'Metformin HCL Extended Release', 'Glycomet Trio 2/0.3', 'Metformin PR Glimepiride (Amaryl M 1mg)', 'Life Extension Methyl-Cobalamin', 'NOIW Methyl B-12', 'Prime B12', 'MSM Sulfur', 'Modified Citrus Pectin', 'Bitter Melon', 'MRM Moringa Leaf', 'Moringa Oleifera', '21st Century One-A-Day', 'Menopause One Multivitamin', 'Phamaton', 'Phamaton', 'Centrum Multivitamins Men 50+', 'Gnest', 'Viatril-S', 'Zolterol', 'NKO Neptune Krill Oil', 'Tru Niagen', 'Tru Niagen NAD Booster', 'Tru Niagen Healthy Aging Provin NAD Booster', 'Nifedipine LA', 'Blackseed Oil Capsule', 'JRM Kurma Dhuha', 'Doctor-Link International Vein Care', 'Dia-Med Nopal Cactus V-Caps', 'Hydralamine HCL', 'Fluvosamine Maleate', 'Covastin', 'Ceruvin', 'Invoril', 'Diabetmin', 'Olmesartan Medoxomil 40mg/Amlodipine 5mg', 'Sanderson Fish Oil', 'Alaska Super E-Omega3', 'Salmon Fish Oil', 'Now Foods Omega-3', 'Now Super Omega EPA', 'Life Extension, Super Omega-3', 'Usana Bio Omega 3', 'Labo Omaxpure Omega-3 Fish Oil', 'Principle Nutrition Omega Fish Oil', 'US Clinicals Omega 3', "Nature's Fish Oil", 'Cardioclear', 'Lipascor', 'OsloOmega Norwegian Omega-3 Fish Oil', 'Deep Ocean Fish Oil Omega-3', 'Omega-3 Fish Oil', 'Orphenadrine, Paracetamol', 'Orphenadrine/Paracet', 'Korean Red Ginseng', 'Anarex (Paracetamol + Oxinodephine)', 'Anarex', 'Paracetamol/Orphenadrine', 'Pheniramine Theoclate', 'DND369 Sacha Inchi Oil', 'Betadine Lozenges', 'APO PRAZO', 'Melaleuca Florify', 'Isotonix Probiotics', 'Promethazine Theoclate', 'Cool Beauty Puerariae Isoflavonoid', 'Ranfuzposin', 'Red Clover Extract', 'Red Yeast Rice', 'Pharmanex Cholestin', 'AtomY Sacha Inchi Oil (Omega 3-6-9)', 'Seritide', 'Salmetero/Fluticasone Propionate', 'Nutrilite Prostate Health', 'SAXAGLIPTIN AND METFORMIN HCL', 'Seratide', 'Janumet 50/850', 'Red Sun Spirulina', 'Spirulina, Chlorella/Moringa/Turmeric', 'Statin (Cholesterol Pill)', 'Statin', 'Taflotan-S Eye Drop (both Eyes)', 'Ranfuzosin', 'Tamsulosin HCL PR', 'Twynsta (Telmisartan 40mg/Amlodipine 5mg)', 'Twynsta Telmisartan/Amlodipine', 'Telsartan-H', 'Telmisartan/Amlodipine', 'Twynsta (40mg/5mg)', 'Now B-1', 'Daneuron (Vitamin B1 100mg, B6 200mg, B12 200mcg)', 'Daneuron (Vit B1, B6 & B12)', 'Torvalipin/Atorvastatin', 'Travatan Eye Drop', 'Trimoxazole 480', 'Tameric', 'Now Ubiquinol', 'UC2', 'Urso Salt', 'Co-Diovan 160/12.5', 'Valsartan & Hydrochlorothiazide', 'Valsartan Hydrochlorothiazide', 'Diamed', 'Vildagliptin 50mg/Metformin', 'Galvus Mat', 'RB 3 (Vitamin B1, B6, B12)', 'Acid Free C', 'NutraLife Ester-C + Bioflavonoids', 'Ultra C Complex, Rose Hip', 'Vitamin D-3', 'Dr. Berg D3 And K2 Vitamin', 'Ashwagandha', 'Zinc Plus Selenium'] - OMOP_match diff --git a/Lettuce/log/20241025.log b/Lettuce/log/20241025.log deleted file mode 100644 index 2eda0b6..0000000 --- a/Lettuce/log/20241025.log +++ /dev/null @@ -1,336 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Nasonex for Each Nostril'] - OMOP_match -INFO - Best OMOP matches for ['Nasonex for Each Nostril'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Nasonex for Each Nostril', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine Hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine Hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine Hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application', 'Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application', 'Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}, {'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Betnovate Scalp Application', 'Panadol'] - OMOP_match -INFO - Best OMOP matches for ['Betnovate Scalp Application', 'Panadol'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Betnovate Scalp Application', 'CONCEPT': []}, {'search_term': 'Panadol', 'CONCEPT': []}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match diff --git a/Lettuce/log/20241026.log b/Lettuce/log/20241026.log deleted file mode 100644 index e69de29..0000000 diff --git a/Lettuce/log/20241028.log b/Lettuce/log/20241028.log deleted file mode 100644 index 1013f30..0000000 --- a/Lettuce/log/20241028.log +++ /dev/null @@ -1,29 +0,0 @@ -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on monitor-uat.postgres.database.azure.com - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -ERROR - Failed to connect to PostgreSQL: invalid literal for int() with base 10: '8000:5432' - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on localhost - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on localhost - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on localhost - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match -INFO - Initialize the PostgreSQL connection based on the environment variables - OMOP_match -INFO - Connected to PostgreSQL database omop on localhost - OMOP_match -INFO - Calculating best OMOP matches for ['Memantine hydrochloride'] - OMOP_match -INFO - Best OMOP matches for ['Memantine hydrochloride'] calculated - OMOP_match -INFO - OMOP Output: [{'search_term': 'Memantine hydrochloride', 'CONCEPT': [{'concept_name': 'memantine hydrochloride 10 MG', 'concept_id': 40222833, 'vocabulary_id': 'RxNorm', 'concept_code': '996560', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 14 MG', 'concept_id': 40222837, 'vocabulary_id': 'RxNorm', 'concept_code': '996592', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 15 MG', 'concept_id': 40222841, 'vocabulary_id': 'RxNorm', 'concept_code': '996747', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 2 MG/ML', 'concept_id': 40222845, 'vocabulary_id': 'RxNorm', 'concept_code': '996739', 'concept_name_similarity_score': 85.18518518518519, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 20 MG', 'concept_id': 40222849, 'vocabulary_id': 'RxNorm', 'concept_code': '996751', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 21 MG', 'concept_id': 40222853, 'vocabulary_id': 'RxNorm', 'concept_code': '996602', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 28 MG', 'concept_id': 40222857, 'vocabulary_id': 'RxNorm', 'concept_code': '996608', 'concept_name_similarity_score': 88.46153846153845, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 5 MG', 'concept_id': 40222861, 'vocabulary_id': 'RxNorm', 'concept_code': '996570', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}, {'concept_name': 'memantine hydrochloride 7 MG', 'concept_id': 40222865, 'vocabulary_id': 'RxNorm', 'concept_code': '996614', 'concept_name_similarity_score': 90.19607843137256, 'CONCEPT_SYNONYM': [], 'CONCEPT_ANCESTOR': [], 'CONCEPT_RELATIONSHIP': []}]}] - OMOP_match -INFO - PostgreSQL connection closed. - OMOP_match