From 76e0fb3cc750ab89676be7a3f1735744acaf7689 Mon Sep 17 00:00:00 2001 From: Leonardo macOS Date: Tue, 10 Sep 2024 14:15:55 +0200 Subject: [PATCH] added missing file to previous commit and checked in cache for OMIM2MONDO --- caches/cache_log.txt | 166 ++++++++++++++++++ caches/omim_mappings_cache.db | Bin 0 -> 10391552 bytes caches/score_grounded_result_cache.db | Bin 0 -> 10108928 bytes src/malco/analysis/disease_avail_knowledge.py | 92 ++++++++++ src/malco/post_process/ranking_utils.py | 3 +- 5 files changed, 260 insertions(+), 1 deletion(-) create mode 100644 caches/cache_log.txt create mode 100644 caches/omim_mappings_cache.db create mode 100644 caches/score_grounded_result_cache.db create mode 100644 src/malco/analysis/disease_avail_knowledge.py diff --git a/caches/cache_log.txt b/caches/cache_log.txt new file mode 100644 index 00000000..c58bcb90 --- /dev/null +++ b/caches/cache_log.txt @@ -0,0 +1,166 @@ +Timestamp: 20240821-140112 + +gpt-4o/results.tsv +score_grounded_result 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+# header = ["disease_id", "found", "date"] + +# Problematic, goes from 27 k unique values to 8.2k +hpoa_cleaned = hpoa_cleaned.drop_duplicates(subset='database_id') +# Idea here could be to look at the 263-129 (gpt-4o) found diseases not present in not found set and the opposite +# namely never found diseases and look for a correlation with date. +always_found = found_set - notfound_set # 134 +never_found = notfound_set - found_set # 213 + +results_dict = {} # turns out being 281 long +found_dict = {} +notfound_dict = {} + +# TODO +results_df = pd.DataFrame(columns=["disease", "found", "date"]) + +for af in always_found: + try: + results_dict[af] = [True, hpoa_cleaned.loc[hpoa_cleaned['database_id'] == af, 'date'].item() ] + found_dict[af] = hpoa_cleaned.loc[hpoa_cleaned['database_id'] == af, 'date'].item() + results_df + except ValueError: + print(f"No HPOA for {af}.") +for nf in never_found: + try: + results_dict[nf] = [False, hpoa_cleaned.loc[hpoa_cleaned['database_id'] == nf, 'date'].item() ] + notfound_dict[nf] = hpoa_cleaned.loc[hpoa_cleaned['database_id'] == af, 'date'].item() + except ValueError: + print(f"No HPOA for {nf}.") + +res_to_clean = pd.DataFrame.from_dict(results_dict).transpose() +res_to_clean.columns=["found","date"] +res_to_clean.date = pd.to_datetime(res_to_clean.date).values.astype(np.int64) +final_avg = pd.DataFrame(pd.to_datetime(res_to_clean.groupby('found').mean().date)) +print(final_avg) \ No newline at end of file diff --git a/src/malco/post_process/ranking_utils.py b/src/malco/post_process/ranking_utils.py index b19ee02f..0049914c 100644 --- a/src/malco/post_process/ranking_utils.py +++ b/src/malco/post_process/ranking_utils.py @@ -43,7 +43,8 @@ def compute_mrr_and_ranks( ) -> Path: # Read in results TSVs from self.output_dir that match glob results*tsv - out_caches = output_dir / "caches" + out_caches = Path("caches") + #out_caches = output_dir / "caches" out_caches.mkdir(exist_ok=True) output_dir = output_dir / out_subdir 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