From bc89967cc07ca2e4ce4e2c5ffddc5c93e1747aa9 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Thu, 7 Nov 2024 22:29:21 -0300
Subject: [PATCH 01/10] fix: add missing arrow  dependecy

---
 poetry.lock    | 1925 +++++++++++++++++++++++++-----------------------
 pyproject.toml |    1 +
 2 files changed, 1014 insertions(+), 912 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index a00dccdc3..f5ae302ad 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "aioftp"
@@ -17,113 +17,113 @@ socks = ["siosocks (>=0.2.0)"]
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.10.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -133,7 +133,7 @@ async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
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 [package.extras]
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@@ -165,13 +165,13 @@ files = [
 
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 python-versions = ">=3.9"
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 [package.extras]
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 trio = ["trio (>=0.26.1)"]
 
 [[package]]
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 [package.dependencies]
@@ -722,115 +712,105 @@ toml = ["tomli"]
 
 [[package]]
 name = "cramjam"
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+version = "2.9.0"
 description = "Thin Python bindings to de/compression algorithms in Rust"
 optional = false
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 [package.extras]
-dev = ["black (==22.3.0)", "hypothesis", "numpy", "pytest (>=5.30)", "pytest-xdist"]
+dev = ["black (==22.3.0)", "hypothesis", "numpy", "pytest (>=5.30)", "pytest-benchmark", "pytest-xdist"]
 
 [[package]]
 name = "croniter"
@@ -954,13 +934,13 @@ requests = ">=2.26.0,<3.0.0"
 
 [[package]]
 name = "dill"
-version = "0.3.8"
+version = "0.3.9"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -969,13 +949,13 @@ profile = ["gprof2dot (>=2022.7.29)"]
 
 [[package]]
 name = "distlib"
-version = "0.3.8"
+version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -1047,13 +1027,13 @@ files = [
 
 [[package]]
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-version = "1.1.0"
+version = "2.0.0"
 description = "An implementation of lxml.xmlfile for the standard library"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1249,53 +1229,59 @@ test = ["aiohttp", "fiona[s3]", "fsspec", "pytest (>=7)", "pytest-cov", "pytz"]
 
 [[package]]
 name = "fonttools"
-version = "4.53.1"
+version = "4.54.1"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -1496,13 +1497,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.146.0"
+version = "2.151.0"
 description = "Google API Client Library for Python"
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 [package.dependencies]
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 [[package]]
 name = "google-cloud-bigquery-connection"
-version = "1.15.5"
+version = "1.16.1"
 description = "Google Cloud Bigquery Connection API client library"
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 python-versions = ">=3.7"
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 [[package]]
 name = "google-cloud-bigquery-storage"
-version = "2.26.0"
+version = "2.27.0"
 description = "Google Cloud Bigquery Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1801,13 +1802,13 @@ websockets = ["websockets (>=10,<12)"]
 
 [[package]]
 name = "graphql-core"
-version = "3.2.4"
+version = "3.2.5"
 description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
 optional = false
 python-versions = "<4,>=3.6"
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 [[package]]
@@ -1923,13 +1924,13 @@ files = [
 
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+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
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 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httplib2"
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 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
@@ -3500,6 +3496,113 @@ twitter = ["tweepy (>=3.5,<4.0)"]
 vault = ["hvac (>=0.10)"]
 viz = ["graphviz (>=0.8.3)"]
 
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 [package.dependencies]
@@ -3919,7 +4030,7 @@ packaging = "*"
 
 [package.extras]
 benchmark = ["pytest-benchmark"]
-dev = ["Cython"]
+dev = ["cython"]
 geopandas = ["geopandas"]
 test = ["pytest", "pytest-cov"]
 
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 ]
 
 [package.dependencies]
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 description = "rapid fuzzy string matching"
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 [[package]]
 name = "shandy-sqlfmt"
@@ -4976,13 +5085,13 @@ files = [
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
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 [[package]]
@@ -5059,13 +5168,13 @@ files = [
 
 [[package]]
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@@ -5073,19 +5182,20 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
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+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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 [package.dependencies]
@@ -5156,13 +5266,13 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=5.2,<6.0)", "isort (>=5.0.6,<6.
 
 [[package]]
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 [[package]]
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 [[package]]
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+version = "2024.2"
 description = "Provider of IANA time zone data"
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 python-versions = ">=2"
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 [[package]]
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 [[package]]
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 [package.dependencies]
@@ -5369,108 +5479,99 @@ ruyaml = ">=0.91.0"
 
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 description = "Yet another URL library"
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+    {file = "yarl-1.17.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b5f1ac7359e17efe0b6e5fec21de34145caef22b260e978336f325d5c84e6938"},
+    {file = "yarl-1.17.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f63d176a81555984e91f2c84c2a574a61cab7111cc907e176f0f01538e9ff6e"},
+    {file = "yarl-1.17.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9e275792097c9f7e80741c36de3b61917aebecc08a67ae62899b074566ff8556"},
+    {file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:81713b70bea5c1386dc2f32a8f0dab4148a2928c7495c808c541ee0aae614d67"},
+    {file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:aa46dce75078fceaf7cecac5817422febb4355fbdda440db55206e3bd288cfb8"},
+    {file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:1ce36ded585f45b1e9bb36d0ae94765c6608b43bd2e7f5f88079f7a85c61a4d3"},
+    {file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:2d374d70fdc36f5863b84e54775452f68639bc862918602d028f89310a034ab0"},
+    {file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:2d9f0606baaec5dd54cb99667fcf85183a7477f3766fbddbe3f385e7fc253299"},
+    {file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b0341e6d9a0c0e3cdc65857ef518bb05b410dbd70d749a0d33ac0f39e81a4258"},
+    {file = "yarl-1.17.1-cp313-cp313-win32.whl", hash = "sha256:2e7ba4c9377e48fb7b20dedbd473cbcbc13e72e1826917c185157a137dac9df2"},
+    {file = "yarl-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:949681f68e0e3c25377462be4b658500e85ca24323d9619fdc41f68d46a1ffda"},
+    {file = "yarl-1.17.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8994b29c462de9a8fce2d591028b986dbbe1b32f3ad600b2d3e1c482c93abad6"},
+    {file = "yarl-1.17.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f9cbfbc5faca235fbdf531b93aa0f9f005ec7d267d9d738761a4d42b744ea159"},
+    {file = "yarl-1.17.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b40d1bf6e6f74f7c0a567a9e5e778bbd4699d1d3d2c0fe46f4b717eef9e96b95"},
+    {file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5efe0661b9fcd6246f27957f6ae1c0eb29bc60552820f01e970b4996e016004"},
+    {file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b5c4804e4039f487e942c13381e6c27b4b4e66066d94ef1fae3f6ba8b953f383"},
+    {file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b5d6a6c9602fd4598fa07e0389e19fe199ae96449008d8304bf5d47cb745462e"},
+    {file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f4c9156c4d1eb490fe374fb294deeb7bc7eaccda50e23775b2354b6a6739934"},
+    {file = "yarl-1.17.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6324274b4e0e2fa1b3eccb25997b1c9ed134ff61d296448ab8269f5ac068c4c"},
+    {file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d8a8b74d843c2638f3864a17d97a4acda58e40d3e44b6303b8cc3d3c44ae2d29"},
+    {file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:7fac95714b09da9278a0b52e492466f773cfe37651cf467a83a1b659be24bf71"},
+    {file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:c180ac742a083e109c1a18151f4dd8675f32679985a1c750d2ff806796165b55"},
+    {file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:578d00c9b7fccfa1745a44f4eddfdc99d723d157dad26764538fbdda37209857"},
+    {file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:1a3b91c44efa29e6c8ef8a9a2b583347998e2ba52c5d8280dbd5919c02dfc3b5"},
+    {file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a7ac5b4984c468ce4f4a553df281450df0a34aefae02e58d77a0847be8d1e11f"},
+    {file = "yarl-1.17.1-cp39-cp39-win32.whl", hash = "sha256:7294e38f9aa2e9f05f765b28ffdc5d81378508ce6dadbe93f6d464a8c9594473"},
+    {file = "yarl-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:eb6dce402734575e1a8cc0bb1509afca508a400a57ce13d306ea2c663bad1138"},
+    {file = "yarl-1.17.1-py3-none-any.whl", hash = "sha256:f1790a4b1e8e8e028c391175433b9c8122c39b46e1663228158e61e6f915bf06"},
+    {file = "yarl-1.17.1.tar.gz", hash = "sha256:067a63fcfda82da6b198fa73079b1ca40b7c9b7994995b6ee38acda728b64d47"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zict"
@@ -5489,4 +5590,4 @@ heapdict = "*"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "271b66dc7c3b5949235b022dfb21e8ce280bf2e81800e8d15a47e6c25ca377ca"
+content-hash = "f45fa2688cceb31087eb562f0965fe8b43daa80f1e0a240174cab4912d8c1904"
diff --git a/pyproject.toml b/pyproject.toml
index 54f007452..e59f9cd55 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -122,6 +122,7 @@ aiohttp = "^3.9.3"
 dateparser = "^1.2.0"
 sicar = {git = "https://github.com/urbanogilson/SICAR.git"}
 fiona = "^1.10.1"
+arrow = "^1.3.0"
 
 
 [tool.poetry.group.dev]

From 7e276e15c6c65a7a2ca85da5560c9bddab95b48d Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 08:01:20 -0300
Subject: [PATCH 02/10] refactor: get_data_source_max_date task

---
 pipelines/datasets/br_me_cnpj/flows.py | 34 +++++++++++++-------------
 pipelines/datasets/br_me_cnpj/tasks.py | 33 +++----------------------
 2 files changed, 21 insertions(+), 46 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/flows.py b/pipelines/datasets/br_me_cnpj/flows.py
index b9f558732..1fae69f71 100644
--- a/pipelines/datasets/br_me_cnpj/flows.py
+++ b/pipelines/datasets/br_me_cnpj/flows.py
@@ -54,21 +54,21 @@
     )
     tabelas = constants_cnpj.TABELAS.value[0:1]
 
-    data_source_max_date = get_data_source_max_date()
+    folder_date, today_date = get_data_source_max_date()
 
     dados_desatualizados = check_if_data_is_outdated(
         dataset_id=dataset_id,
         table_id=table_id,
-        data_source_max_date=data_source_max_date,
-        date_format="%Y-%m-%d",
-        upstream_tasks=[data_source_max_date],
+        data_source_max_date=folder_date,
+        date_format="%Y-%m",
+        upstream_tasks=[today_date],
     )
 
     with case(dados_desatualizados, False):
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=data_source_max_date)
+        output_filepath = main(tabelas,data_atualizacao=today_date)
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
             dataset_id=dataset_id,
@@ -147,21 +147,21 @@
     )
     tabelas = constants_cnpj.TABELAS.value[1:2]
 
-    data_source_max_date = get_data_source_max_date()
+    folder_date, today_date = get_data_source_max_date()
 
     dados_desatualizados = check_if_data_is_outdated(
         dataset_id=dataset_id,
         table_id=table_id,
-        data_source_max_date=data_source_max_date,
+        data_source_max_date=folder_date,
         date_format="%Y-%m-%d",
-        upstream_tasks=[data_source_max_date],
+        upstream_tasks=[today_date],
     )
 
     with case(dados_desatualizados, False):
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=data_source_max_date)
+        output_filepath = main(tabelas,data_atualizacao=today_date)
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
             dataset_id=dataset_id,
@@ -241,21 +241,21 @@
      )
     tabelas = constants_cnpj.TABELAS.value[2:3]
 
-    data_source_max_date = get_data_source_max_date()
+    folder_date, today_date = get_data_source_max_date()
 
     dados_desatualizados = check_if_data_is_outdated(
         dataset_id=dataset_id,
         table_id=table_id,
-        data_source_max_date=data_source_max_date,
+        data_source_max_date=folder_date,
         date_format="%Y-%m-%d",
-        upstream_tasks=[data_source_max_date],
+        upstream_tasks=[today_date],
     )
 
     with case(dados_desatualizados, False):
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=data_source_max_date)
+        output_filepath = main(tabelas,data_atualizacao=today_date)
 
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
@@ -379,21 +379,21 @@
     )
     tabelas = constants_cnpj.TABELAS.value[3:]
 
-    data_source_max_date = get_data_source_max_date()
+    folder_date, today_date = get_data_source_max_date()
 
     dados_desatualizados = check_if_data_is_outdated(
         dataset_id="br_me_cnpj",
         table_id="estabelecimentos",
-        data_source_max_date=data_source_max_date,
+        data_source_max_date=folder_date,
         date_format="%Y-%m-%d",
-        upstream_tasks=[data_source_max_date],
+        upstream_tasks=[today_date],
     )
 
     with case(dados_desatualizados, False):
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=data_source_max_date)
+        output_filepath = main(tabelas,data_atualizacao=today_date)
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
             dataset_id=dataset_id,
diff --git a/pipelines/datasets/br_me_cnpj/tasks.py b/pipelines/datasets/br_me_cnpj/tasks.py
index b9a915b5f..bb7a50cd6 100644
--- a/pipelines/datasets/br_me_cnpj/tasks.py
+++ b/pipelines/datasets/br_me_cnpj/tasks.py
@@ -4,8 +4,6 @@
 """
 import asyncio
 import os
-from google.cloud import storage
-import pathlib
 from typing import Union, List
 from datetime import datetime
 import basedosdados as bd
@@ -16,7 +14,6 @@
     data_url,
     destino_output,
     download_unzip_csv,
-    download_unzip_csv_sync,
     process_csv_empresas,
     process_csv_estabelecimentos,
     process_csv_simples,
@@ -30,38 +27,16 @@
 
 
 @task
-def calculate_defasagem():
-    """
-    Calculates the month lag based on the current month.
-
-    Returns:
-        int: Number of lagged months.
-    """
-    current_month = datetime.now().month
-    current_year = datetime.now().year
-
-    if current_year == 2023:
-        if current_month >= 10:
-            defasagem = 6
-        else:
-            defasagem = current_month - 4
-    else:
-        defasagem = 6
-
-    return defasagem
-
-
-@task
-def get_data_source_max_date():
+def get_data_source_max_date() -> tuple[datetime,datetime]:
     """
     Checks if there are available updates for a specific dataset and table.
 
     Returns:
         bool: Returns True if updates are available, otherwise returns False.
     """
-    # Obtém a data mais recente do site
-    data_obj = data_url(url=url, headers=headers)
-    return data_obj
+
+    folder_date, today_date = data_url(url=url, headers=headers)
+    return folder_date, today_date
 
 @task
 def main(tabelas:[str], data_atualizacao:datetime)-> str:

From 531a3c70df6a86fe521d4ab0fb37ceb14a892104 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 08:31:02 -0300
Subject: [PATCH 03/10] feat: update constants params

---
 pipelines/datasets/br_me_cnpj/constants.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/constants.py b/pipelines/datasets/br_me_cnpj/constants.py
index 2f3e4bef9..54229a9d8 100644
--- a/pipelines/datasets/br_me_cnpj/constants.py
+++ b/pipelines/datasets/br_me_cnpj/constants.py
@@ -159,10 +159,10 @@ class constants(Enum):  # pylint: disable=c0103
         "data_situacao_especial",
     ]
 
-    default_chunk_size = 2**20  # 1MB
+    default_chunk_size = 20 * 1024 * 1024  # 20MB
 
     default_max_retries = 32
 
     default_max_parallel = 16
 
-    default_timeout = 3 * 60 * 1000  # 3 minutes
+    default_timeout = 1 * 60 * 1000  # 1 minute

From 3c44bd91ab9d4efd8a7bc7796e0d74e2b4e272f4 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 08:31:49 -0300
Subject: [PATCH 04/10] feat: add connection pooling and exponential backoff to
 asyn crawler

---
 pipelines/datasets/br_me_cnpj/utils.py | 161 +++++++++----------------
 1 file changed, 55 insertions(+), 106 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/utils.py b/pipelines/datasets/br_me_cnpj/utils.py
index a608b5c02..c1dacc666 100644
--- a/pipelines/datasets/br_me_cnpj/utils.py
+++ b/pipelines/datasets/br_me_cnpj/utils.py
@@ -8,7 +8,7 @@
 from asyncio import Semaphore, gather
 from datetime import datetime
 
-import httpx
+from httpx import AsyncClient, HTTPError, head
 import pandas as pd
 import pyarrow as pa
 import pyarrow.parquet as pq
@@ -24,50 +24,37 @@
 
 ufs = constants_cnpj.UFS.value
 headers = constants_cnpj.HEADERS.value
+timeout = constants_cnpj.TIMEOUT.value
 
+def data_url(url:str, headers:dict)-> tuple[datetime,datetime]:
 
 
-def data_url(url:str, headers:dict)-> datetime:
-
-    max_attempts = constants_cnpj.MAX_ATTEMPTS.value
-    timeout = constants_cnpj.TIMEOUT.value
-    attempts = constants_cnpj.ATTEMPTS.value
-    date_pattern = re.compile(r"\d{4}-\d{2}-\d{2} \d{2}:\d{2}")
-
-    while attempts < max_attempts:
-        try:
-            link_data = requests.get(url, headers=headers, timeout=timeout)
-            link_data.raise_for_status()
-            break
-        except (ConnectionError, Timeout) as e:
-            log(f"Tentativa {attempts + 1} falhou. Erro: {e}")
-            time.sleep(1)
-            attempts += 1
-    else:
-        log(f"Máximo de {max_attempts} tentativas alcançado. Verifique a conexão ou o endpoint.")
-        return None
+    link_data = requests.get(url, headers=headers, timeout=timeout, verify=False)
+    link_data.raise_for_status()
 
     soup = BeautifulSoup(link_data.text, "html.parser")
 
-    dates = [
-        datetime.strptime(element.get_text(strip=True), "%Y-%m-%d %H:%M").date()
-        for element in soup.find_all('td', align="right")
-        if date_pattern.match(element.get_text(strip=True))
-        ]
 
-    try:
-        max_date = max(dates)
-        log(f"A data máxima extraida da API é: {max_date}")
-    except ValueError as e:
-        log(f"A lista que deveria conter a data mais recente de atualização retornou nula. Verifique o endpoint \n. Erro: {e}")
+    max_folder_date = max(
+    [
+        datetime.strptime(link["href"].strip("/"), "%Y-%m").strftime('%Y-%m')
+        for link in soup.find_all("a", href=True)
+        if link["href"].strip("/").startswith("202")
+    ]
+    )
 
-    return max_date
+    today_date = datetime.today().strftime('%Y-%m-%d')
+    log(f"A data máxima extraida da API da Receita Federal que será utilizada para comparar com os metadados da BD é: {max_folder_date}")
+    log(f"A data de hoje gerada para criar partições no Storage é: {today_date} ")
+
+    return max_folder_date, today_date
 
 
 
 
 # ! Cria o caminho do output
-def destino_output(sufixo, data_coleta):
+def destino_output(sufixo:str, data_coleta: datetime)-> str:
+
     output_path = f"/tmp/data/br_me_cnpj/output/{sufixo}/"
     # Pasta de destino para salvar o arquivo CSV
     if sufixo != "simples":
@@ -87,7 +74,7 @@ def destino_output(sufixo, data_coleta):
 
 
 # ! Adiciona zero a esquerda nas colunas
-def fill_left_zeros(df, column, num_digits):
+def fill_left_zeros(df: datetime, column, num_digits:int)-> pd.DataFrame:
     df[column] = df[column].astype(str).str.zfill(num_digits)
     return df
 
@@ -95,70 +82,53 @@ def fill_left_zeros(df, column, num_digits):
 # ! Download assincrono e em chunck`s do zip
 def chunk_range(content_length: int, chunk_size: int) -> list[tuple[int, int]]:
     """Split the content length into a list of chunk ranges"""
-    return [
-        (i * chunk_size, min((i + 1) * chunk_size - 1, content_length - 1))
-        for i in range(content_length // chunk_size + 1)
-    ]
-
+    return [(i, min(i + chunk_size - 1, content_length - 1)) for i in range(0, content_length, chunk_size)]
 
 # from https://stackoverflow.com/a/64283770
-async def download(
-    url: str,
-    chunk_size: int = 2**25,
-    max_retries: int = 32,
-    max_parallel: int = 32,
-    timeout: int = 3 * 60 * 2,
-) -> bytes:
-    request_head = httpx.head(url)
-    log(request_head)
-
-    assert request_head.status_code == 200
-    assert request_head.headers["accept-ranges"] == "bytes"
-
-    content_length = int(request_head.headers["content-length"])
-
-    log(
-        f"Downloading {url} with {content_length} bytes / {chunk_size} chunks and {max_parallel} parallel downloads"
-    )
+async def download(url, chunk_size=20 * 1024 * 1024, max_retries=5, max_parallel=5, timeout=5 * 60):
+    try:
+        request_head = head(url)
+        log(request_head)
 
-    # TODO: pool http connections
-    semaphore = Semaphore(max_parallel)
-    tasks = [
-        download_chunk(url, (start, end), max_retries, timeout, semaphore)
-        for start, end in chunk_range(content_length, chunk_size)
-    ]
+        assert request_head.status_code == 200
+        assert request_head.headers["accept-ranges"] == "bytes"
+
+        content_length = int(request_head.headers["content-length"])
+        log(f"Downloading {url} with {content_length} bytes / {chunk_size} chunks and {max_parallel} parallel downloads")
+
+        semaphore = Semaphore(max_parallel)
+
+        async with AsyncClient() as client:
+            tasks = [
+                download_chunk(client, url, (start, end), max_retries, timeout, semaphore)
+                for start, end in chunk_range(content_length, chunk_size)
+            ]
+            return b"".join(await gather(*tasks))
 
-    return b"".join(await gather(*tasks))
+    except HTTPError as e:
+        log(f"Initial request failed: {e}")
+        return b""
 
 
-async def download_chunk(
-    url: str,
-    chunk_range: tuple[int, int],
-    max_retries: int,
-    timeout: int,
-    semaphore: Semaphore,
-) -> bytes:
+async def download_chunk(client, url, chunk_range, max_retries, timeout, semaphore):
     async with semaphore:
-        #log(f"Downloading chunk {chunk_range[0]}-{chunk_range[1]}")
-        for i in range(max_retries):
+        for attempt in range(max_retries):
             try:
-                async with httpx.AsyncClient(timeout=timeout) as client:
-                    headers = {"Range": f"bytes={chunk_range[0]}-{chunk_range[1]}"}
-                    response = await client.get(url, headers=headers)
-                    response.raise_for_status()
-                    return response.content
-            except httpx.HTTPError as e:
-                log(f"Download failed with {e}. Retrying ({i+1}/{max_retries})...")
-        raise httpx.HTTPError(f"Download failed after {max_retries} retries")
+                headers = {"Range": f"bytes={chunk_range[0]}-{chunk_range[1]}"}
+                response = await client.get(url, headers=headers, timeout=timeout)
+                response.raise_for_status()
+                return response.content
+            except HTTPError as e:
+                delay = 2 ** attempt
+                log(f"Chunk {chunk_range} failed on attempt {attempt + 1}. Retrying in {delay} seconds...")
+                await asyncio.sleep(delay)
+
+        raise HTTPError(f"Chunk {chunk_range} failed after {max_retries} retries")
 
 
 # ! Executa o download do zip file
-async def download_unzip_csv(
-    url,
-    pasta_destino,
-):
+async def download_unzip_csv(url, pasta_destino):
     log(f"Baixando o arquivo {url}")
-
     save_path = os.path.join(pasta_destino, f"{os.path.basename(url)}.zip")
     content = await download(url)
     with open(save_path, "wb") as fd:
@@ -174,27 +144,6 @@ async def download_unzip_csv(
     os.remove(save_path)
 
 
-def download_unzip_csv_sync(url, pasta_destino, chunk_size: int = 1000):
-    time_before = time.perf_counter()
-    log(f"Baixando o arquivo {url}")
-    save_path = os.path.join(pasta_destino, f"{os.path.basename(url)}.zip")
-
-    r = requests.get(url, headers=headers, stream=True, timeout=60)
-    with open(save_path, "wb") as fd:
-        for chunk in tqdm(
-            r.iter_content(chunk_size=chunk_size), desc="Baixando o arquivo"
-        ):
-            fd.write(chunk)
-
-    try:
-        with zipfile.ZipFile(save_path) as z:
-            z.extractall(pasta_destino)
-        log("Dados extraídos com sucesso!")
-        log(f"Total time (asynchronous): {time.perf_counter() - time_before}.")
-    except zipfile.BadZipFile:
-        log(f"O arquivo {os.path.basename(url)} não é um arquivo ZIP válido.")
-    os.remove(save_path)
-
 
 # ! Salva os dados CSV Estabelecimentos
 def process_csv_estabelecimentos(

From 40c72d6e686e291716b8009271490105f8c8159b Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 08:32:40 -0300
Subject: [PATCH 05/10] feat:  update flows tasks parameters

---
 pipelines/datasets/br_me_cnpj/flows.py |  8 ++++----
 pipelines/datasets/br_me_cnpj/tasks.py | 24 +++++++++++++-----------
 2 files changed, 17 insertions(+), 15 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/flows.py b/pipelines/datasets/br_me_cnpj/flows.py
index 1fae69f71..b0fc54165 100644
--- a/pipelines/datasets/br_me_cnpj/flows.py
+++ b/pipelines/datasets/br_me_cnpj/flows.py
@@ -68,7 +68,7 @@
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=today_date)
+        output_filepath = main(tabelas,folder_date=folder_date,today_date=today_date)
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
             dataset_id=dataset_id,
@@ -161,7 +161,7 @@
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=today_date)
+        output_filepath = main(tabelas,folder_date=folder_date,today_date=today_date)
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
             dataset_id=dataset_id,
@@ -255,7 +255,7 @@
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=today_date)
+        output_filepath = main(tabelas,folder_date=folder_date,today_date=today_date)
 
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
@@ -393,7 +393,7 @@
         log_task(f"Não há atualizações para a tabela de {tabelas}!")
 
     with case(dados_desatualizados, True):
-        output_filepath = main(tabelas,data_atualizacao=today_date)
+        output_filepath = main(tabelas,folder_date=folder_date,today_date=today_date)
         wait_upload_table = create_table_and_upload_to_gcs(
             data_path=output_filepath,
             dataset_id=dataset_id,
diff --git a/pipelines/datasets/br_me_cnpj/tasks.py b/pipelines/datasets/br_me_cnpj/tasks.py
index bb7a50cd6..3dde70543 100644
--- a/pipelines/datasets/br_me_cnpj/tasks.py
+++ b/pipelines/datasets/br_me_cnpj/tasks.py
@@ -32,20 +32,22 @@ def get_data_source_max_date() -> tuple[datetime,datetime]:
     Checks if there are available updates for a specific dataset and table.
 
     Returns:
-        bool: Returns True if updates are available, otherwise returns False.
+        tuple: Returns a tuple with the date extracted from the CNPJs API folder and today date
+        to be used as partition
     """
 
     folder_date, today_date = data_url(url=url, headers=headers)
     return folder_date, today_date
 
 @task
-def main(tabelas:[str], data_atualizacao:datetime)-> str:
+def main(tabelas:[str], folder_date:datetime, today_date:datetime)-> str:
     """
     Performs the download, processing, and organization of CNPJ data.
 
     Args:
         tabelas (list): A list of tables to be processed.
-        data_atualizaão: Most recent database release extracted from API
+        folder_date (datetime): Most recent database release extracted from API
+        today_date (datetime): Today's date
 
     Returns:
         str: The path to the output folder where the data has been organized.
@@ -55,35 +57,35 @@ def main(tabelas:[str], data_atualizacao:datetime)-> str:
         sufixo = tabela.lower()
 
         # Define o caminho para a pasta de entrada (input)
-        input_path = f"/tmp/data/br_me_cnpj/input/data={data_atualizacao}/"
+        input_path = f"/tmp/data/br_me_cnpj/input/data={today_date}/"
         os.makedirs(input_path, exist_ok=True)
         log("Pasta destino input construído")
 
         # Define o caminho para a pasta de saída (output)
-        output_path = destino_output(sufixo, data_atualizacao)
+        output_path = destino_output(sufixo, today_date)
 
         # Loop para baixar e processar os arquivos
         for i in range(0, 10):
             if tabela != "Simples":
                 nome_arquivo = f"{tabela}{i}"
-                url_download = f"https://arquivos.receitafederal.gov.br/cnpj/dados_abertos_cnpj/{data_atualizacao.strftime('%Y-%m')}/{tabela}{i}.zip"
+                url_download = f"https://arquivos.receitafederal.gov.br/cnpj/dados_abertos_cnpj/{folder_date}/{tabela}{i}.zip"
                 if nome_arquivo not in arquivos_baixados:
                     arquivos_baixados.append(nome_arquivo)
                     asyncio.run((download_unzip_csv(url_download, input_path)))
                     if tabela == "Estabelecimentos":
                         process_csv_estabelecimentos(
-                            input_path, output_path, data_atualizacao, i
+                            input_path, output_path, today_date, i
                         )
                     elif tabela == "Socios":
-                        process_csv_socios(input_path, output_path, data_atualizacao, i)
+                        process_csv_socios(input_path, output_path, today_date, i)
                     elif tabela == "Empresas":
-                        process_csv_empresas(input_path, output_path, data_atualizacao, i)
+                        process_csv_empresas(input_path, output_path, today_date, i)
             else:
                 nome_arquivo = f"{tabela}"
-                url_download = f"https://arquivos.receitafederal.gov.br/cnpj/dados_abertos_cnpj/{data_atualizacao.strftime('%Y-%m')}/{tabela}.zip"
+                url_download = f"https://arquivos.receitafederal.gov.br/cnpj/dados_abertos_cnpj/{folder_date}/{tabela}.zip"
                 if nome_arquivo not in arquivos_baixados:
                     arquivos_baixados.append(nome_arquivo)
                     asyncio.run((download_unzip_csv(url_download, input_path)))
-                    process_csv_simples(input_path, output_path, data_atualizacao, sufixo)
+                    process_csv_simples(input_path, output_path, today_date, sufixo)
 
     return output_path

From 62908957cda4368e2d54450d19c0d4eb9bc7e49b Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 09:31:28 -0300
Subject: [PATCH 06/10] update poetry.lock

---
 poetry.lock | 165 ++++++++++++++++++++++++----------------------------
 1 file changed, 77 insertions(+), 88 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index f5ae302ad..45aa439c7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -530,76 +530,65 @@ files = [
 
 [[package]]
 name = "contourpy"
-version = "1.3.0"
+version = "1.3.1"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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 [[package]]
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 [[package]]
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 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.12.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12,<1.14)", "pytest-mypy"]
 
 [[package]]
 name = "shandy-sqlfmt"
@@ -5085,13 +5074,13 @@ files = [
 
 [[package]]
 name = "tomli"
-version = "2.0.2"
+version = "2.1.0"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
-    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
+    {file = "tomli-2.1.0-py3-none-any.whl", hash = "sha256:a5c57c3d1c56f5ccdf89f6523458f60ef716e210fc47c4cfb188c5ba473e0391"},
+    {file = "tomli-2.1.0.tar.gz", hash = "sha256:3f646cae2aec94e17d04973e4249548320197cfabdf130015d023de4b74d8ab8"},
 ]
 
 [[package]]

From 4fc8067c427a0def584f234cd90d06af53aaa379 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 13:32:52 -0300
Subject: [PATCH 07/10] feat: add task retries in get_data_source_max_date

---
 pipelines/datasets/br_me_cnpj/tasks.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/tasks.py b/pipelines/datasets/br_me_cnpj/tasks.py
index 3dde70543..9702fa6a9 100644
--- a/pipelines/datasets/br_me_cnpj/tasks.py
+++ b/pipelines/datasets/br_me_cnpj/tasks.py
@@ -5,7 +5,7 @@
 import asyncio
 import os
 from typing import Union, List
-from datetime import datetime
+from datetime import datetime,timedelta
 import basedosdados as bd
 from prefect import task
 
@@ -20,13 +20,17 @@
     process_csv_socios,
 )
 from pipelines.utils.utils import log
+from pipelines.constants import constants
 
 ufs = constants_cnpj.UFS.value
 url = constants_cnpj.URL.value
 headers = constants_cnpj.HEADERS.value
 
 
-@task
+@task(
+    max_retries=3,
+    retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value),
+)
 def get_data_source_max_date() -> tuple[datetime,datetime]:
     """
     Checks if there are available updates for a specific dataset and table.

From 537c12af8af2991ecb37fcf625ff3994f9276ff7 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 13:35:05 -0300
Subject: [PATCH 08/10] feat: update poetry.lock

---
 poetry.lock | 20 +++++++-------------
 1 file changed, 7 insertions(+), 13 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index c1a391f66..9097e35bc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -4848,24 +4848,18 @@ urllib3 = {version = ">=1.26,<3", extras = ["socks"]}
 
 [[package]]
 name = "setuptools"
-version = "75.5.0"
+version = "70.3.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 files = [
-    {file = "setuptools-75.5.0-py3-none-any.whl", hash = "sha256:87cb777c3b96d638ca02031192d40390e0ad97737e27b6b4fa831bea86f2f829"},
-    {file = "setuptools-75.5.0.tar.gz", hash = "sha256:5c4ccb41111392671f02bb5f8436dfc5a9a7185e80500531b133f5775c4163ef"},
+    {file = "setuptools-70.3.0-py3-none-any.whl", hash = "sha256:fe384da74336c398e0d956d1cae0669bc02eed936cdb1d49b57de1990dc11ffc"},
+    {file = "setuptools-70.3.0.tar.gz", hash = "sha256:f171bab1dfbc86b132997f26a119f6056a57950d058587841a0082e8830f9dc5"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.7.0)"]
-core = ["importlib-metadata (>=6)", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12,<1.14)", "pytest-mypy"]
-
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "shandy-sqlfmt"
@@ -5580,4 +5574,4 @@ heapdict = "*"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "f45fa2688cceb31087eb562f0965fe8b43daa80f1e0a240174cab4912d8c1904"
+content-hash = "6a7b387c35a33e52abe28d92b14e7846f303c84443f693ab8574017ee9cfebb0"

From f58d23a4106d9e0896a033fb0a68501c8b01b428 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Wed, 13 Nov 2024 15:20:20 -0300
Subject: [PATCH 09/10] feat: add type hints and doc strings in utils

---
 pipelines/datasets/br_me_cnpj/flows.py |   6 +-
 pipelines/datasets/br_me_cnpj/utils.py | 172 ++++++++++++++++++++++---
 2 files changed, 154 insertions(+), 24 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/flows.py b/pipelines/datasets/br_me_cnpj/flows.py
index b0fc54165..a4f135955 100644
--- a/pipelines/datasets/br_me_cnpj/flows.py
+++ b/pipelines/datasets/br_me_cnpj/flows.py
@@ -153,7 +153,7 @@
         dataset_id=dataset_id,
         table_id=table_id,
         data_source_max_date=folder_date,
-        date_format="%Y-%m-%d",
+        date_format="%Y-%m",
         upstream_tasks=[today_date],
     )
 
@@ -247,7 +247,7 @@
         dataset_id=dataset_id,
         table_id=table_id,
         data_source_max_date=folder_date,
-        date_format="%Y-%m-%d",
+        date_format="%Y-%m",
         upstream_tasks=[today_date],
     )
 
@@ -385,7 +385,7 @@
         dataset_id="br_me_cnpj",
         table_id="estabelecimentos",
         data_source_max_date=folder_date,
-        date_format="%Y-%m-%d",
+        date_format="%Y-%m",
         upstream_tasks=[today_date],
     )
 
diff --git a/pipelines/datasets/br_me_cnpj/utils.py b/pipelines/datasets/br_me_cnpj/utils.py
index c1dacc666..28734a0a1 100644
--- a/pipelines/datasets/br_me_cnpj/utils.py
+++ b/pipelines/datasets/br_me_cnpj/utils.py
@@ -3,7 +3,6 @@
 General purpose functions for the br_me_cnpj project
 """
 import os
-import time
 import zipfile
 from asyncio import Semaphore, gather
 from datetime import datetime
@@ -15,8 +14,6 @@
 import re
 import requests
 from bs4 import BeautifulSoup
-from loguru import logger
-from requests.exceptions import ConnectionError, Timeout
 from tqdm import tqdm
 
 from pipelines.datasets.br_me_cnpj.constants import constants as constants_cnpj
@@ -27,7 +24,16 @@
 timeout = constants_cnpj.TIMEOUT.value
 
 def data_url(url:str, headers:dict)-> tuple[datetime,datetime]:
+    """
+    Fetches data from a URL, parses the HTML to find the latest folder date, and compares it to today's date.
 
+    Args:
+        url (str): The URL to fetch the data from.
+        headers (dict): Headers to include in the request.
+
+    Returns:
+        Tuple[datetime, datetime]: The maximum date found in the folders and today's date.
+    """
 
     link_data = requests.get(url, headers=headers, timeout=timeout, verify=False)
     link_data.raise_for_status()
@@ -54,6 +60,16 @@ def data_url(url:str, headers:dict)-> tuple[datetime,datetime]:
 
 # ! Cria o caminho do output
 def destino_output(sufixo:str, data_coleta: datetime)-> str:
+    """
+    Constructs the output directory path based on the suffix and collection date.
+
+    Args:
+        sufixo (str): The suffix for directory structure.
+        data_coleta (datetime): The data collection date.
+
+    Returns:
+        str: The constructed output path.
+    """
 
     output_path = f"/tmp/data/br_me_cnpj/output/{sufixo}/"
     # Pasta de destino para salvar o arquivo CSV
@@ -75,17 +91,51 @@ def destino_output(sufixo:str, data_coleta: datetime)-> str:
 
 # ! Adiciona zero a esquerda nas colunas
 def fill_left_zeros(df: datetime, column, num_digits:int)-> pd.DataFrame:
+    """
+    Adds left zeros to the specified column of a DataFrame to meet the required digit count.
+
+    Args:
+        df (pd.DataFrame): DataFrame with the target column.
+        column (str): Column name to fill with zeros.
+        num_digits (int): Total number of digits for the column.
+
+    Returns:
+        pd.DataFrame: Updated DataFrame with filled zeros.
+    """
     df[column] = df[column].astype(str).str.zfill(num_digits)
     return df
 
 
 # ! Download assincrono e em chunck`s do zip
 def chunk_range(content_length: int, chunk_size: int) -> list[tuple[int, int]]:
-    """Split the content length into a list of chunk ranges"""
+    """
+    Splits the content length into a list of chunk ranges for downloading.
+
+    Args:
+        content_length (int): The total content length.
+        chunk_size (int): Size of each chunk.
+
+    Returns:
+        List[Tuple[int, int]]: List of start and end byte ranges for each chunk.
+    """
     return [(i, min(i + chunk_size - 1, content_length - 1)) for i in range(0, content_length, chunk_size)]
 
 # from https://stackoverflow.com/a/64283770
 async def download(url, chunk_size=20 * 1024 * 1024, max_retries=5, max_parallel=5, timeout=5 * 60):
+    """
+    Downloads a file from a URL in chunks asynchronously.
+
+    Args:
+        url (str): URL of the file to download.
+        chunk_size (int): Size of each chunk in bytes.
+        max_retries (int): Maximum retry attempts for each chunk.
+        max_parallel (int): Maximum number of parallel downloads.
+        timeout (int): Timeout for each request.
+
+    Returns:
+        bytes: The downloaded content in bytes.
+    """
+
     try:
         request_head = head(url)
         log(request_head)
@@ -94,7 +144,7 @@ async def download(url, chunk_size=20 * 1024 * 1024, max_retries=5, max_parallel
         assert request_head.headers["accept-ranges"] == "bytes"
 
         content_length = int(request_head.headers["content-length"])
-        log(f"Downloading {url} with {content_length} bytes / {chunk_size} chunks and {max_parallel} parallel downloads")
+        log(f"Baixando {url} com {content_length} bytes / {chunk_size} chunks e {max_parallel} downloads paralelos")
 
         semaphore = Semaphore(max_parallel)
 
@@ -106,11 +156,32 @@ async def download(url, chunk_size=20 * 1024 * 1024, max_retries=5, max_parallel
             return b"".join(await gather(*tasks))
 
     except HTTPError as e:
-        log(f"Initial request failed: {e}")
+        log(f"Requisição mal sucessedida: {e}")
         return b""
 
 
-async def download_chunk(client, url, chunk_range, max_retries, timeout, semaphore):
+async def download_chunk(
+    client: AsyncClient,
+    url: str,
+    chunk_range: tuple[int, int],
+    max_retries: int,
+    timeout: int,
+    semaphore: Semaphore
+) -> bytes:
+    """
+    Downloads a chunk of a file asynchronously with retry logic.
+
+    Args:
+        client (AsyncClient): HTTP client for making requests.
+        url (str): The URL of the file to download.
+        chunk_range (Tuple[int, int]): The byte range for the chunk to be downloaded.
+        max_retries (int): The maximum number of retries for downloading a chunk.
+        timeout (int): The timeout duration for each request.
+        semaphore (Semaphore): A semaphore to limit the number of parallel downloads.
+
+    Returns:
+        bytes: The downloaded chunk content.
+    """
     async with semaphore:
         for attempt in range(max_retries):
             try:
@@ -120,14 +191,21 @@ async def download_chunk(client, url, chunk_range, max_retries, timeout, semapho
                 return response.content
             except HTTPError as e:
                 delay = 2 ** attempt
-                log(f"Chunk {chunk_range} failed on attempt {attempt + 1}. Retrying in {delay} seconds...")
+                log(f"Dowload do chunk {chunk_range} ffalhou na tentativa {attempt + 1}. Tentando novamente em  {delay} segundos...")
                 await asyncio.sleep(delay)
 
-        raise HTTPError(f"Chunk {chunk_range} failed after {max_retries} retries")
+        raise HTTPError(f"Download do chunk {chunk_range} falhou depois de  {max_retries} tentativas")
 
 
 # ! Executa o download do zip file
-async def download_unzip_csv(url, pasta_destino):
+async def download_unzip_csv(url: str, pasta_destino: str) -> None:
+    """
+    Downloads a ZIP file from a URL and extracts its content.
+
+    Args:
+        url (str): The URL of the ZIP file.
+        pasta_destino (str): The directory to save and extract the ZIP file.
+    """
     log(f"Baixando o arquivo {url}")
     save_path = os.path.join(pasta_destino, f"{os.path.basename(url)}.zip")
     content = await download(url)
@@ -147,8 +225,22 @@ async def download_unzip_csv(url, pasta_destino):
 
 # ! Salva os dados CSV Estabelecimentos
 def process_csv_estabelecimentos(
-    input_path: str, output_path: str, data_coleta: str, i: int, chunk_size: int = 1000
-):
+    input_path: str,
+    output_path: str,
+    data_coleta: str,
+    i: int,
+    chunk_size: int = 100000
+) -> None:
+    """
+    Processes and saves CSV data for establishments, organizing data into partitions by state.
+
+    Args:
+        input_path (str): Path to the input data.
+        output_path (str): Directory to save processed data.
+        data_coleta (str): Data collection date as string.
+        i (int): File number or batch index.
+        chunk_size (int): Number of rows to process per chunk.
+    """
     ordem = constants_cnpj.COLUNAS_ESTABELECIMENTO_ORDEM.value
     colunas = constants_cnpj.COLUNAS_ESTABELECIMENTO.value
     save_path = f"{output_path}data={data_coleta}/"
@@ -215,8 +307,22 @@ def process_csv_estabelecimentos(
 
 # ! Salva os dados CSV Empresas
 def process_csv_empresas(
-    input_path: str, output_path: str, data_coleta: str, i: int, chunk_size: int = 1000
-):
+    input_path: str,
+    output_path: str,
+    data_coleta: str,
+    i: int,
+    chunk_size: int = 100000
+) -> None:
+    """
+    Processes and saves CSV data for companies.
+
+    Args:
+        input_path (str): Path to the input data.
+        output_path (str): Directory to save processed data.
+        data_coleta (str): Data collection date as string.
+        i (int): File number or batch index.
+        chunk_size (int): Number of rows to process per chunk.
+    """
     colunas = constants_cnpj.COLUNAS_EMPRESAS.value
     save_path = f"{output_path}data={data_coleta}/empresas_{i}.csv"
     for nome_arquivo in os.listdir(input_path):
@@ -254,7 +360,20 @@ def process_csv_empresas(
 # ! Salva os dados CSV Socios
 def process_csv_socios(
     input_path: str, output_path: str, data_coleta: str, i: int, chunk_size: int = 1000
-):
+) -> None:
+    """
+    Processes and saves CSV data for socios (partners).
+
+    Args:
+        input_path (str): Path to the input data.
+        output_path (str): Directory to save processed data.
+        data_coleta (str): Data collection date as string.
+        i (int): File number or batch index.
+        chunk_size (int): Number of rows to process per chunk.
+
+    Returns:
+        None
+    """
     colunas = constants_cnpj.COLUNAS_SOCIOS.value
     save_path = f"{output_path}data={data_coleta}/socios_{i}.csv"
     for nome_arquivo in os.listdir(input_path):
@@ -296,12 +415,21 @@ def process_csv_socios(
 
 # ! Salva os dados CSV Simples
 def process_csv_simples(
-    input_path: str,
-    output_path: str,
-    data_coleta: str,
-    sufixo: str,
-    chunk_size: int = 1000,
-):
+    input_path: str, output_path: str, data_coleta: str, sufixo: str, chunk_size: int = 1000
+) -> None:
+    """
+    Processes and saves CSV data for simples.
+
+    Args:
+        input_path (str): Path to the input data.
+        output_path (str): Directory to save processed data.
+        data_coleta (str): Data collection date as string.
+        sufixo (str): Suffix used to construct the output filename.
+        chunk_size (int): Number of rows to process per chunk.
+
+    Returns:
+        None
+    """
     colunas = constants_cnpj.COLUNAS_SIMPLES.value
     save_path = f"{output_path}{sufixo}.csv"
     for nome_arquivo in os.listdir(input_path):
@@ -340,3 +468,5 @@ def process_csv_simples(
 
             log(f"Arquivo {sufixo} salvo")
             os.remove(caminho_arquivo_csv)
+
+

From 710bed54f310b2fab2074b783dac3fedb69ef661 Mon Sep 17 00:00:00 2001
From: uiro-bi <pisagabriel09@gmail.com>
Date: Thu, 14 Nov 2024 09:46:58 -0300
Subject: [PATCH 10/10] feat: activate schedules

---
 pipelines/datasets/br_me_cnpj/flows.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/pipelines/datasets/br_me_cnpj/flows.py b/pipelines/datasets/br_me_cnpj/flows.py
index a4f135955..26e282bf8 100644
--- a/pipelines/datasets/br_me_cnpj/flows.py
+++ b/pipelines/datasets/br_me_cnpj/flows.py
@@ -124,7 +124,7 @@
 
 br_me_cnpj_empresas.storage = GCS(constants.GCS_FLOWS_BUCKET.value)
 br_me_cnpj_empresas.run_config = KubernetesRun(image=constants.DOCKER_IMAGE.value)
-#br_me_cnpj_empresas.schedule = every_day_empresas
+br_me_cnpj_empresas.schedule = every_day_empresas
 
 with Flow(
     name="br_me_cnpj.socios",
@@ -216,7 +216,7 @@
 
 br_me_cnpj_socios.storage = GCS(constants.GCS_FLOWS_BUCKET.value)
 br_me_cnpj_socios.run_config = KubernetesRun(image=constants.DOCKER_IMAGE.value)
-#br_me_cnpj_socios.schedule = every_day_socios
+br_me_cnpj_socios.schedule = every_day_socios
 
 
 with Flow(
@@ -355,7 +355,7 @@
 br_me_cnpj_estabelecimentos.run_config = KubernetesRun(
     image=constants.DOCKER_IMAGE.value
 )
-#br_me_cnpj_estabelecimentos.schedule = every_day_estabelecimentos
+br_me_cnpj_estabelecimentos.schedule = every_day_estabelecimentos
 
 
 with Flow(
@@ -444,5 +444,5 @@
 
 br_me_cnpj_simples.storage = GCS(constants.GCS_FLOWS_BUCKET.value)
 br_me_cnpj_simples.run_config = KubernetesRun(image=constants.DOCKER_IMAGE.value)
-#br_me_cnpj_simples.schedule = every_day_simples
+br_me_cnpj_simples.schedule = every_day_simples