From 93723d6d8a6296d3367b4662d9411bf6234bcb7c Mon Sep 17 00:00:00 2001 From: tricktx Date: Thu, 19 Sep 2024 11:59:28 -0300 Subject: [PATCH 01/16] fix semester and deactivate pipeline poder360 --- pipelines/datasets/br_anatel_telefonia_movel/schedules.py | 2 +- pipelines/datasets/br_poder360_pesquisas/flows.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pipelines/datasets/br_anatel_telefonia_movel/schedules.py b/pipelines/datasets/br_anatel_telefonia_movel/schedules.py index 0b448bc8c..eb4ddfa48 100644 --- a/pipelines/datasets/br_anatel_telefonia_movel/schedules.py +++ b/pipelines/datasets/br_anatel_telefonia_movel/schedules.py @@ -24,7 +24,7 @@ "dbt_alias": True, "update_metadata": True, "ano": "2024", - "semestre": "1", + "semestre": "2", "update_metadata": True, }, ), diff --git a/pipelines/datasets/br_poder360_pesquisas/flows.py b/pipelines/datasets/br_poder360_pesquisas/flows.py index d184b57e9..fc373f80d 100644 --- a/pipelines/datasets/br_poder360_pesquisas/flows.py +++ b/pipelines/datasets/br_poder360_pesquisas/flows.py @@ -106,4 +106,4 @@ br_poder360.storage = GCS(constants.GCS_FLOWS_BUCKET.value) br_poder360.run_config = KubernetesRun(image=constants.DOCKER_IMAGE.value) -br_poder360.schedule = every_monday_thursday +#br_poder360.schedule = every_monday_thursday From 590303b15f3e373616cc60fa99bf7b87aa11a00e Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Mon, 23 Sep 2024 10:17:38 -0300 Subject: [PATCH 02/16] add br_sfb_car --- Dockerfile | 1 + pipelines/datasets/botdosdados/tasks.py | 2 +- pipelines/datasets/br_sfb_car/constants.py | 11 + pipelines/datasets/br_sfb_car/flows.py | 78 + pipelines/datasets/br_sfb_car/schedules.py | 6 + pipelines/datasets/br_sfb_car/tasks.py | 60 + pipelines/datasets/br_sfb_car/utils.py | 60 + poetry.lock | 2861 +++++++++++--------- pyproject.toml | 9 +- 9 files changed, 1767 insertions(+), 1321 deletions(-) create mode 100644 pipelines/datasets/br_sfb_car/constants.py create mode 100644 pipelines/datasets/br_sfb_car/flows.py create mode 100644 pipelines/datasets/br_sfb_car/schedules.py create mode 100644 pipelines/datasets/br_sfb_car/tasks.py create mode 100644 pipelines/datasets/br_sfb_car/utils.py diff --git a/Dockerfile b/Dockerfile index 6e2131775..7f676a6ad 100644 --- a/Dockerfile +++ b/Dockerfile @@ -33,6 +33,7 @@ RUN apt-get update && \ python3-dev \ traceroute \ wget \ + tesseract-ocr \ git \ bzip2 \ libxtst6 \ diff --git a/pipelines/datasets/botdosdados/tasks.py b/pipelines/datasets/botdosdados/tasks.py index 172d8d58a..a05a0d5e7 100644 --- a/pipelines/datasets/botdosdados/tasks.py +++ b/pipelines/datasets/botdosdados/tasks.py @@ -10,7 +10,7 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd -import seaborn as sns +#import seaborn as sns import tweepy from basedosdados.download.metadata import _safe_fetch from prefect import task diff --git a/pipelines/datasets/br_sfb_car/constants.py b/pipelines/datasets/br_sfb_car/constants.py new file mode 100644 index 000000000..94f88c196 --- /dev/null +++ b/pipelines/datasets/br_sfb_car/constants.py @@ -0,0 +1,11 @@ +# -*- coding: utf-8 -*- +""" +Constants for br_sfb_car +""" + +from enum import Enum + +class Constants(Enum): # pylint: disable=c0103 + + INPUT_PATH = '/tmp/car/input' + OUTPUT_PATH = '/tmp/car/output' \ No newline at end of file diff --git a/pipelines/datasets/br_sfb_car/flows.py b/pipelines/datasets/br_sfb_car/flows.py new file mode 100644 index 000000000..6e42247af --- /dev/null +++ b/pipelines/datasets/br_sfb_car/flows.py @@ -0,0 +1,78 @@ +# -*- coding: utf-8 -*- +""" +Flows for br_sfb_car +""" + +# pylint: disable=invalid-name +from datetime import timedelta + +from prefect import Parameter, case +from prefect.run_configs import KubernetesRun +from prefect.storage import GCS +from prefect.tasks.prefect import create_flow_run, wait_for_flow_run + +from pipelines.constants import constants +from pipelines.datasets.br_sfb_car.constants import Constants as car_constants +#rom pipelines.datasets.br_sfb_car.schedules import schedule_br_sfb_car_imoveis_rurais +from pipelines.datasets.br_sfb_car.tasks import download_car, unzip_to_parquet +from pipelines.utils.constants import constants as utils_constants +from pipelines.utils.decorators import Flow +from pipelines.utils.execute_dbt_model.constants import constants as dump_db_constants +from pipelines.utils.metadata.tasks import ( + check_if_data_is_outdated, + update_django_metadata, +) +from pipelines.utils.tasks import ( + create_table_and_upload_to_gcs, + get_current_flow_labels, + log_task, + rename_current_flow_run_dataset_table, +) +inputpath = car_constants.INPUT_PATH.value +outputpath = car_constants.OUTPUT_PATH.value + +with Flow( + name="br_sfb_car.area_imovel", code_owners=["Gabriel Pisa"] +) as br_sfb_car_area_imovel: + # Parameters + dataset_id = Parameter("dataset_id", default="br_sfb_car", required=True) + table_id = Parameter("table_id", default="area_imovel", required=True) + update_metadata = Parameter("update_metadata", default=False, required=False) + materialization_mode = Parameter( + "materialization_mode", default="dev", required=False + ) + materialize_after_dump = Parameter( + "materialize_after_dump", default=True, required=False + ) + dbt_alias = Parameter("dbt_alias", default=False, required=False) + + rename_flow_run = rename_current_flow_run_dataset_table( + prefix="Dump: ", dataset_id=dataset_id, table_id=table_id, wait=table_id + ) + + + download_polygons = download_car( + inputpath=inputpath, + outputpath=outputpath + ) + + unzip_from_shp_to_parquet_wkt = unzip_to_parquet( + inputpath=inputpath, + outputpath=outputpath, + upstream_tasks=[download_polygons] + ) + + wait_upload_table = create_table_and_upload_to_gcs( + data_path=outputpath, + dataset_id=dataset_id, + table_id=table_id, + dump_mode="append", + wait=unzip_from_shp_to_parquet_wkt, + ) + + +br_sfb_car_area_imovel.storage = GCS(constants.GCS_FLOWS_BUCKET.value) +br_sfb_car_area_imovel.run_config = KubernetesRun( + image=constants.DOCKER_IMAGE.value +) +#br_sfb_car_area_imovel.schedule = schedule_br_sfb_car_area_imovel diff --git a/pipelines/datasets/br_sfb_car/schedules.py b/pipelines/datasets/br_sfb_car/schedules.py new file mode 100644 index 000000000..b57cc3a8b --- /dev/null +++ b/pipelines/datasets/br_sfb_car/schedules.py @@ -0,0 +1,6 @@ +# -*- coding: utf-8 -*- +""" +Schedules for br_sfb_car +""" + + diff --git a/pipelines/datasets/br_sfb_car/tasks.py b/pipelines/datasets/br_sfb_car/tasks.py new file mode 100644 index 000000000..29e28649e --- /dev/null +++ b/pipelines/datasets/br_sfb_car/tasks.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- +""" +Tasks for br_sfb_car +""" + + + +from prefect import task +from SICAR import Sicar, Polygon, State +import os +from datetime import datetime, timedelta + +from pipelines.datasets.br_sfb_car.constants import ( + Constants as car_constants, +) + +from pipelines.datasets.br_sfb_car.utils import ( + process_all_files +) + +from pipelines.utils.utils import log +from pipelines.constants import constants + + + +inputpath = car_constants.INPUT_PATH.value +outputpath = car_constants.OUTPUT_PATH.value + + +#? 1. check for updates +#SIcar package has a method _parse_release_dates, which returns a dcit with states and release dates; +#! diferent states have different updates | not supported by basedosdados currently metadada registry +# one table per state no | need several conjuntos cause there nine + + +@task( + max_retries=constants.TASK_MAX_RETRIES.value, + retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), +) +def download_car(inputpath, outputpath): + + os.makedirs( f'{inputpath}',exist_ok=True) + os.makedirs( f'{outputpath}',exist_ok=True) + + log('Downloading Car') + car = Sicar() + result = car.download_state( + state=State.PA, + polygon=Polygon.AREA_PROPERTY, + folder=inputpath) + + +@task( + max_retries=constants.TASK_MAX_RETRIES.value, + retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), +) +def unzip_to_parquet(inputpath, outputpath): + process_all_files(zip_folder=inputpath, output_folder=outputpath) + + diff --git a/pipelines/datasets/br_sfb_car/utils.py b/pipelines/datasets/br_sfb_car/utils.py new file mode 100644 index 000000000..86e42ce29 --- /dev/null +++ b/pipelines/datasets/br_sfb_car/utils.py @@ -0,0 +1,60 @@ +# -*- coding: utf-8 -*- + +# -*- coding: utf-8 -*- +""" +Utils for br_sfb_car +""" + +import geopandas as gpd +import zipfile +import os +import pandas as pd +import tempfile + +def unpack_zip(zip_file_path): + temp_dir = tempfile.mkdtemp() + with zipfile.ZipFile(zip_file_path, 'r') as zip_ref: + zip_ref.extractall(temp_dir) + return temp_dir + +def convert_shp_to_parquet(shp_file_path, output_parquet_path): + + gdf = gpd.read_file(shp_file_path) + # Convertendo geometria para WKT + gdf['geometry'] = gdf['geometry'].apply(lambda geom: geom.wkt) + # Convertendo para DataFrame do pandas + df = pd.DataFrame(gdf) + # Salvando em Parquet + df.to_parquet(output_parquet_path, index=False) + return output_parquet_path + +def process_all_files(zip_folder, output_folder): + + for zip_filename in os.listdir(zip_folder): + + if zip_filename.endswith('.zip'): + + zip_file_path = os.path.join(zip_folder, zip_filename) + + + zip_filename = os.path.basename(zip_file_path) + sigla_uf = zip_filename.split('_')[0] + # Descompactar o arquivo em diretório temporário + unpacked_dir = unpack_zip(zip_file_path) + + # Encontrar o arquivo .shp + shp_file = next((f for f in os.listdir(unpacked_dir) if f.endswith('.shp')), None) + + if shp_file: + shp_file_path = os.path.join(unpacked_dir, shp_file) + + + sigla_uf_dir = os.path.join(output_folder, f"sigla_uf={sigla_uf}") + os.makedirs(sigla_uf_dir, exist_ok=True) + + + output_parquet_path = os.path.join(sigla_uf_dir, f"{os.path.splitext(shp_file)[0]}.parquet") + print(f"Salvando {output_parquet_path}") + + # Converte shapefile para parquet com coluna WKT para representar geometria + convert_shp_to_parquet(shp_file_path, output_parquet_path) \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 7f09e8b56..b32a61c8a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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-content-hash = "a420f202e0657b2244441106cedd09add3c188c7152b89a956c139914a513cd2" +content-hash = "0c31c85408ccdbd9fa3d715a926f7d781e463f90a33ba95ddaa3e706d6f3aac8" diff --git a/pyproject.toml b/pyproject.toml index d4b36a314..364932914 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,7 +51,7 @@ marshmallow-oneofschema = "3.0.1" matplotlib = "^3.5.2" msgpack = "1.0.3" mypy-extensions = "0.4.3" -numpy = "1.21.4" +numpy = ">=1.21.4" oauth2client = "^4.1.3" oauthlib = "3.1.1" openpyxl = "3.0.9" @@ -96,7 +96,7 @@ toolz = "0.11.2" tornado = "6.1" tqdm = "^4.65.0" tweepy = "4.4.0" -urllib3 = "1.26.8" +urllib3 = ">=1.26.8" websocket-client = "1.2.1" wget = "^3.2" zict = "2.0.0" @@ -106,11 +106,11 @@ fastparquet = "^2023.7.0" rarfile = "^4.0" setuptools = ">=69.0.0" python-string-utils = "^1.0.0" -geopandas = "0.13.2" +geopandas = "1.0.1" shapely = "2.0.1" webdriver-manager = "^4.0.1" xlrd = ">=2.0.1" -httpx = "^0.26.0" +httpx = ">=0.26.0" parameterized = "^0.9.0" cffi = "^1.16.0" pendulum = "^3.0.0" @@ -120,6 +120,7 @@ pathlib = "^1.0.1" dbfread = "^2.0.7" aiohttp = "^3.9.3" dateparser = "^1.2.0" +sicar = {git = "git@github.com:urbanogilson/SICAR.git"} [tool.poetry.group.dev] From fb38708ca53c242617d135c155005782aed71ab1 Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Thu, 26 Sep 2024 11:12:29 -0300 Subject: [PATCH 03/16] retry ci action and docker image build --- poetry.lock | 4 ++-- pyproject.toml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/poetry.lock b/poetry.lock index b32a61c8a..8d34d0bf8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4788,7 +4788,7 @@ paddle = ["paddleocr (==2.6.1.3)", "paddlepaddle (==2.5.0rc0)"] [package.source] type = "git" -url = "git@github.com:urbanogilson/SICAR.git" +url = "https://github.com/urbanogilson/SICAR.git" reference = "HEAD" resolved_reference = "155dfdf2e1ec246c8a0e0366d39687d7459f2695" @@ -5408,4 +5408,4 @@ heapdict = "*" [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.11" -content-hash = "0c31c85408ccdbd9fa3d715a926f7d781e463f90a33ba95ddaa3e706d6f3aac8" +content-hash = "77dfb0a9b3053d6884dbc3ef6648f4b2a88e91292680d4f3eabc1a62da3a7568" diff --git a/pyproject.toml b/pyproject.toml index 364932914..af8c7a11c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -120,7 +120,7 @@ pathlib = "^1.0.1" dbfread = "^2.0.7" aiohttp = "^3.9.3" dateparser = "^1.2.0" -sicar = {git = "git@github.com:urbanogilson/SICAR.git"} +sicar = {git = "https://github.com/urbanogilson/SICAR.git"} [tool.poetry.group.dev] From 8b9f105dcb476e24caf16a5360ca7a059942e2ba Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Thu, 26 Sep 2024 12:28:38 -0300 Subject: [PATCH 04/16] add python3-opencv dependency to dockefile --- Dockerfile | 1 + 1 file changed, 1 insertion(+) diff --git a/Dockerfile b/Dockerfile index 7f676a6ad..c9323dbc4 100644 --- a/Dockerfile +++ b/Dockerfile @@ -34,6 +34,7 @@ RUN apt-get update && \ traceroute \ wget \ tesseract-ocr \ + python3-opencv \ git \ bzip2 \ libxtst6 \ From 6eee2c97c0515a95eaefab08d6b9926b4ed2271f Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Thu, 26 Sep 2024 13:18:45 -0300 Subject: [PATCH 05/16] set parquet file type in create_table_and_upload_to_gcs --- pipelines/datasets/br_sfb_car/flows.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pipelines/datasets/br_sfb_car/flows.py b/pipelines/datasets/br_sfb_car/flows.py index 6e42247af..656dc490b 100644 --- a/pipelines/datasets/br_sfb_car/flows.py +++ b/pipelines/datasets/br_sfb_car/flows.py @@ -67,6 +67,7 @@ dataset_id=dataset_id, table_id=table_id, dump_mode="append", + source_format='parquet', wait=unzip_from_shp_to_parquet_wkt, ) From 2004d9bb6cea49a387d9a956a56ef9e22324db87 Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Mon, 30 Sep 2024 10:32:14 -0300 Subject: [PATCH 06/16] fix: update folder name --- .../{br_sfb_car => br_sfb_sicar}/constants.py | 2 +- .../{br_sfb_car => br_sfb_sicar}/flows.py | 20 +++++++++---------- .../{br_sfb_car => br_sfb_sicar}/schedules.py | 2 +- .../{br_sfb_car => br_sfb_sicar}/tasks.py | 19 ++++++++++-------- .../{br_sfb_car => br_sfb_sicar}/utils.py | 17 ++++++++++------ 5 files changed, 34 insertions(+), 26 deletions(-) rename pipelines/datasets/{br_sfb_car => br_sfb_sicar}/constants.py (86%) rename pipelines/datasets/{br_sfb_car => br_sfb_sicar}/flows.py (76%) rename pipelines/datasets/{br_sfb_car => br_sfb_sicar}/schedules.py (55%) rename pipelines/datasets/{br_sfb_car => br_sfb_sicar}/tasks.py (76%) rename pipelines/datasets/{br_sfb_car => br_sfb_sicar}/utils.py (81%) diff --git a/pipelines/datasets/br_sfb_car/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py similarity index 86% rename from pipelines/datasets/br_sfb_car/constants.py rename to pipelines/datasets/br_sfb_sicar/constants.py index 94f88c196..46dc60469 100644 --- a/pipelines/datasets/br_sfb_car/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Constants for br_sfb_car +Constants for br_sfb_sicar """ from enum import Enum diff --git a/pipelines/datasets/br_sfb_car/flows.py b/pipelines/datasets/br_sfb_sicar/flows.py similarity index 76% rename from pipelines/datasets/br_sfb_car/flows.py rename to pipelines/datasets/br_sfb_sicar/flows.py index 656dc490b..8e06c66da 100644 --- a/pipelines/datasets/br_sfb_car/flows.py +++ b/pipelines/datasets/br_sfb_sicar/flows.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Flows for br_sfb_car +Flows for br_sfb_sicar """ # pylint: disable=invalid-name @@ -12,9 +12,9 @@ from prefect.tasks.prefect import create_flow_run, wait_for_flow_run from pipelines.constants import constants -from pipelines.datasets.br_sfb_car.constants import Constants as car_constants -#rom pipelines.datasets.br_sfb_car.schedules import schedule_br_sfb_car_imoveis_rurais -from pipelines.datasets.br_sfb_car.tasks import download_car, unzip_to_parquet +from pipelines.datasets.br_sfb_sicar.constants import Constants as car_constants +#rom pipelines.datasets.br_sfb_sicar.schedules import schedule_br_sfb_sicar_imoveis_rurais +from pipelines.datasets.br_sfb_sicar.tasks import download_car, unzip_to_parquet from pipelines.utils.constants import constants as utils_constants from pipelines.utils.decorators import Flow from pipelines.utils.execute_dbt_model.constants import constants as dump_db_constants @@ -32,10 +32,10 @@ outputpath = car_constants.OUTPUT_PATH.value with Flow( - name="br_sfb_car.area_imovel", code_owners=["Gabriel Pisa"] -) as br_sfb_car_area_imovel: + name="br_sfb_sicar.area_imovel", code_owners=["Gabriel Pisa"] +) as br_sfb_sicar_area_imovel: # Parameters - dataset_id = Parameter("dataset_id", default="br_sfb_car", required=True) + dataset_id = Parameter("dataset_id", default="br_sfb_sicar", required=True) table_id = Parameter("table_id", default="area_imovel", required=True) update_metadata = Parameter("update_metadata", default=False, required=False) materialization_mode = Parameter( @@ -72,8 +72,8 @@ ) -br_sfb_car_area_imovel.storage = GCS(constants.GCS_FLOWS_BUCKET.value) -br_sfb_car_area_imovel.run_config = KubernetesRun( +br_sfb_sicar_area_imovel.storage = GCS(constants.GCS_FLOWS_BUCKET.value) +br_sfb_sicar_area_imovel.run_config = KubernetesRun( image=constants.DOCKER_IMAGE.value ) -#br_sfb_car_area_imovel.schedule = schedule_br_sfb_car_area_imovel +#br_sfb_sicar_area_imovel.schedule = schedule_br_sfb_sicar_area_imovel diff --git a/pipelines/datasets/br_sfb_car/schedules.py b/pipelines/datasets/br_sfb_sicar/schedules.py similarity index 55% rename from pipelines/datasets/br_sfb_car/schedules.py rename to pipelines/datasets/br_sfb_sicar/schedules.py index b57cc3a8b..8abb4f84f 100644 --- a/pipelines/datasets/br_sfb_car/schedules.py +++ b/pipelines/datasets/br_sfb_sicar/schedules.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Schedules for br_sfb_car +Schedules for br_sfb_sicar """ diff --git a/pipelines/datasets/br_sfb_car/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py similarity index 76% rename from pipelines/datasets/br_sfb_car/tasks.py rename to pipelines/datasets/br_sfb_sicar/tasks.py index 29e28649e..8d5783461 100644 --- a/pipelines/datasets/br_sfb_car/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Tasks for br_sfb_car +Tasks for br_sfb_sicar """ @@ -10,11 +10,11 @@ import os from datetime import datetime, timedelta -from pipelines.datasets.br_sfb_car.constants import ( +from pipelines.datasets.br_sfb_sicar.constants import ( Constants as car_constants, ) -from pipelines.datasets.br_sfb_car.utils import ( +from pipelines.datasets.br_sfb_sicar.utils import ( process_all_files ) @@ -41,13 +41,16 @@ def download_car(inputpath, outputpath): os.makedirs( f'{inputpath}',exist_ok=True) os.makedirs( f'{outputpath}',exist_ok=True) - + ufs = ['AC', 'PA', 'MT', 'PB', 'RR', 'RO'] log('Downloading Car') car = Sicar() - result = car.download_state( - state=State.PA, - polygon=Polygon.AREA_PROPERTY, - folder=inputpath) + #TODo: make async cals + for uf in ufs: + log(f'downloading state {uf}') + car.download_state( + state=uf, + polygon=Polygon.AREA_PROPERTY, + folder=inputpath) @task( diff --git a/pipelines/datasets/br_sfb_car/utils.py b/pipelines/datasets/br_sfb_sicar/utils.py similarity index 81% rename from pipelines/datasets/br_sfb_car/utils.py rename to pipelines/datasets/br_sfb_sicar/utils.py index 86e42ce29..dcb6669fc 100644 --- a/pipelines/datasets/br_sfb_car/utils.py +++ b/pipelines/datasets/br_sfb_sicar/utils.py @@ -1,8 +1,6 @@ -# -*- coding: utf-8 -*- - # -*- coding: utf-8 -*- """ -Utils for br_sfb_car +Utils for br_sfb_sicar """ import geopandas as gpd @@ -10,6 +8,8 @@ import os import pandas as pd import tempfile +from datetime import datetime +from pipelines.utils.utils import log def unpack_zip(zip_file_path): temp_dir = tempfile.mkdtemp() @@ -25,7 +25,11 @@ def convert_shp_to_parquet(shp_file_path, output_parquet_path): # Convertendo para DataFrame do pandas df = pd.DataFrame(gdf) # Salvando em Parquet + + df.to_parquet(output_parquet_path, index=False) + #Todo: inserir data de extração como partição + return output_parquet_path def process_all_files(zip_folder, output_folder): @@ -39,6 +43,7 @@ def process_all_files(zip_folder, output_folder): zip_filename = os.path.basename(zip_file_path) sigla_uf = zip_filename.split('_')[0] + data_particao = datetime.today().strftime('%Y-%m-%d') # Descompactar o arquivo em diretório temporário unpacked_dir = unpack_zip(zip_file_path) @@ -49,12 +54,12 @@ def process_all_files(zip_folder, output_folder): shp_file_path = os.path.join(unpacked_dir, shp_file) - sigla_uf_dir = os.path.join(output_folder, f"sigla_uf={sigla_uf}") + sigla_uf_dir = os.path.join(output_folder, f"data_extracao={data_particao}/sigla_uf={sigla_uf}") os.makedirs(sigla_uf_dir, exist_ok=True) output_parquet_path = os.path.join(sigla_uf_dir, f"{os.path.splitext(shp_file)[0]}.parquet") - print(f"Salvando {output_parquet_path}") + log(f"Salvando {output_parquet_path}") # Converte shapefile para parquet com coluna WKT para representar geometria - convert_shp_to_parquet(shp_file_path, output_parquet_path) \ No newline at end of file + convert_shp_to_parquet(shp_file_path, output_parquet_path) From e644a25d928a75b27010fc12c9279b173f24b2dd Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Tue, 1 Oct 2024 09:39:49 -0300 Subject: [PATCH 07/16] feat: add prefect map to download_car task --- pipelines/datasets/br_sfb_sicar/constants.py | 8 +++- pipelines/datasets/br_sfb_sicar/flows.py | 18 ++++++--- pipelines/datasets/br_sfb_sicar/tasks.py | 40 ++++++++++++++++---- pipelines/datasets/br_sfb_sicar/temp.py | 8 ++++ pipelines/datasets/br_sfb_sicar/utils.py | 23 ++++++++--- 5 files changed, 76 insertions(+), 21 deletions(-) create mode 100644 pipelines/datasets/br_sfb_sicar/temp.py diff --git a/pipelines/datasets/br_sfb_sicar/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py index 46dc60469..06b1c8e95 100644 --- a/pipelines/datasets/br_sfb_sicar/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -8,4 +8,10 @@ class Constants(Enum): # pylint: disable=c0103 INPUT_PATH = '/tmp/car/input' - OUTPUT_PATH = '/tmp/car/output' \ No newline at end of file + OUTPUT_PATH = '/tmp/car/output' + + UF_SIGLAS = [ + 'AC', 'AL', 'AP', #'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', + #'MT', 'MS', 'MG', 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', + #'RS', 'RO', 'RR', 'SC', 'SP', 'SE', 'TO' + ] \ No newline at end of file diff --git a/pipelines/datasets/br_sfb_sicar/flows.py b/pipelines/datasets/br_sfb_sicar/flows.py index 8e06c66da..9b7aa8bdd 100644 --- a/pipelines/datasets/br_sfb_sicar/flows.py +++ b/pipelines/datasets/br_sfb_sicar/flows.py @@ -6,7 +6,7 @@ # pylint: disable=invalid-name from datetime import timedelta -from prefect import Parameter, case +from prefect import Parameter, case, unmapped from prefect.run_configs import KubernetesRun from prefect.storage import GCS from prefect.tasks.prefect import create_flow_run, wait_for_flow_run @@ -14,7 +14,7 @@ from pipelines.constants import constants from pipelines.datasets.br_sfb_sicar.constants import Constants as car_constants #rom pipelines.datasets.br_sfb_sicar.schedules import schedule_br_sfb_sicar_imoveis_rurais -from pipelines.datasets.br_sfb_sicar.tasks import download_car, unzip_to_parquet +from pipelines.datasets.br_sfb_sicar.tasks import download_car, unzip_to_parquet, get_each_uf_release_date from pipelines.utils.constants import constants as utils_constants from pipelines.utils.decorators import Flow from pipelines.utils.execute_dbt_model.constants import constants as dump_db_constants @@ -28,8 +28,10 @@ log_task, rename_current_flow_run_dataset_table, ) + inputpath = car_constants.INPUT_PATH.value outputpath = car_constants.OUTPUT_PATH.value +siglas_uf = car_constants.UF_SIGLAS.value with Flow( name="br_sfb_sicar.area_imovel", code_owners=["Gabriel Pisa"] @@ -51,15 +53,19 @@ ) - download_polygons = download_car( - inputpath=inputpath, - outputpath=outputpath + download_polygons = download_car.map( + inputpath=unmapped(inputpath), + outputpath=unmapped(outputpath), + sigla_uf=siglas_uf ) + ufs_release_dates = get_each_uf_release_date(upstream_tasks=[download_polygons]) + unzip_from_shp_to_parquet_wkt = unzip_to_parquet( inputpath=inputpath, outputpath=outputpath, - upstream_tasks=[download_polygons] + uf_relase_dates=ufs_release_dates, + upstream_tasks=[download_polygons,ufs_release_dates] ) wait_upload_table = create_table_and_upload_to_gcs( diff --git a/pipelines/datasets/br_sfb_sicar/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py index 8d5783461..a8f243c70 100644 --- a/pipelines/datasets/br_sfb_sicar/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -9,6 +9,8 @@ from SICAR import Sicar, Polygon, State import os from datetime import datetime, timedelta +from typing import Dict +import httpx from pipelines.datasets.br_sfb_sicar.constants import ( Constants as car_constants, @@ -37,27 +39,49 @@ max_retries=constants.TASK_MAX_RETRIES.value, retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), ) -def download_car(inputpath, outputpath): +def download_car(inputpath, outputpath, sigla_uf): os.makedirs( f'{inputpath}',exist_ok=True) os.makedirs( f'{outputpath}',exist_ok=True) - ufs = ['AC', 'PA', 'MT', 'PB', 'RR', 'RO'] + log('Downloading Car') + car = Sicar() - #TODo: make async cals - for uf in ufs: - log(f'downloading state {uf}') + + log(f'downloading state {sigla_uf}') + + try: car.download_state( - state=uf, + state=sigla_uf, polygon=Polygon.AREA_PROPERTY, folder=inputpath) + except httpx.ReadTimeout as e: + log(f'Erro de timeout ao baixar {sigla_uf}. \n {e}') + + +@task( + max_retries=constants.TASK_MAX_RETRIES.value, + retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), +) +def get_each_uf_release_date()-> Dict: + + car = Sicar() + log('Extracting UFs relasea date') + + car = Sicar() + + ufs_release_dates = car.get_release_dates() + + return ufs_release_dates + + @task( max_retries=constants.TASK_MAX_RETRIES.value, retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), ) -def unzip_to_parquet(inputpath, outputpath): - process_all_files(zip_folder=inputpath, output_folder=outputpath) +def unzip_to_parquet(inputpath, outputpath,uf_relase_dates): + process_all_files(zip_folder=inputpath, output_folder=outputpath,uf_relase_dates=uf_relase_dates) diff --git a/pipelines/datasets/br_sfb_sicar/temp.py b/pipelines/datasets/br_sfb_sicar/temp.py new file mode 100644 index 000000000..eed9e4a69 --- /dev/null +++ b/pipelines/datasets/br_sfb_sicar/temp.py @@ -0,0 +1,8 @@ +# -*- coding: utf-8 -*- +from SICAR import Sicar + +car = Sicar() + +d = car.get_release_dates() + +print(d['PA']) diff --git a/pipelines/datasets/br_sfb_sicar/utils.py b/pipelines/datasets/br_sfb_sicar/utils.py index dcb6669fc..ddb951a5c 100644 --- a/pipelines/datasets/br_sfb_sicar/utils.py +++ b/pipelines/datasets/br_sfb_sicar/utils.py @@ -13,26 +13,37 @@ def unpack_zip(zip_file_path): temp_dir = tempfile.mkdtemp() + with zipfile.ZipFile(zip_file_path, 'r') as zip_ref: - zip_ref.extractall(temp_dir) + try: + zip_ref.extractall(temp_dir) + except zipfile.BadZipFile as e: + log(f"The zipfile {zip_file_path.split('/')[-1]} is problably corrupted. {e}") return temp_dir -def convert_shp_to_parquet(shp_file_path, output_parquet_path): +def convert_shp_to_parquet(shp_file_path, output_parquet_path,uf_relase_dates,sigla_uf): gdf = gpd.read_file(shp_file_path) + # Convertendo geometria para WKT gdf['geometry'] = gdf['geometry'].apply(lambda geom: geom.wkt) + # Convertendo para DataFrame do pandas df = pd.DataFrame(gdf) # Salvando em Parquet + date = datetime.strptime(uf_relase_dates[sigla_uf], '%d/%m/%Y').strftime('%Y-%m-%d') + + log(f'The relase date for {sigla_uf} was {date}') + + df['data_atualizacao_car'] = date df.to_parquet(output_parquet_path, index=False) - #Todo: inserir data de extração como partição - return output_parquet_path + del df + -def process_all_files(zip_folder, output_folder): +def process_all_files(zip_folder, output_folder, uf_relase_dates): for zip_filename in os.listdir(zip_folder): @@ -62,4 +73,4 @@ def process_all_files(zip_folder, output_folder): log(f"Salvando {output_parquet_path}") # Converte shapefile para parquet com coluna WKT para representar geometria - convert_shp_to_parquet(shp_file_path, output_parquet_path) + convert_shp_to_parquet(shp_file_path, output_parquet_path, uf_relase_dates, sigla_uf) From 5ff8ca8a013414b3a82c337aa3e02adbc9aaa5ac Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Tue, 1 Oct 2024 10:12:28 -0300 Subject: [PATCH 08/16] feat: create wrapper for download_state module --- pipelines/datasets/br_sfb_sicar/tasks.py | 56 +++++++++++++++--------- 1 file changed, 36 insertions(+), 20 deletions(-) diff --git a/pipelines/datasets/br_sfb_sicar/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py index a8f243c70..660798041 100644 --- a/pipelines/datasets/br_sfb_sicar/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -11,7 +11,7 @@ from datetime import datetime, timedelta from typing import Dict import httpx - +import time as tm from pipelines.datasets.br_sfb_sicar.constants import ( Constants as car_constants, ) @@ -24,39 +24,55 @@ from pipelines.constants import constants - -inputpath = car_constants.INPUT_PATH.value -outputpath = car_constants.OUTPUT_PATH.value - - -#? 1. check for updates -#SIcar package has a method _parse_release_dates, which returns a dcit with states and release dates; -#! diferent states have different updates | not supported by basedosdados currently metadada registry -# one table per state no | need several conjuntos cause there nine +#wrapper para usar while e gerenciar erors +def retry_download_car(car, state, polygon, folder, max_retries=8): + retries = 0 + success = False + + while retries < max_retries and not success: + try: + car.download_state(state=state, polygon=polygon, folder=folder) + success = True + log(f'Download do estado {state} concluído com sucesso.') + except httpx.ReadTimeout as e: + retries += 1 + log(f'Erro de timeout ao baixar {state}. Tentativa {retries} de {max_retries}. Exceção: {e}') + log(f'Tentando novamente em 8 segundos') + tm.sleep(8) + if retries >= max_retries: + log(f'Falha ao baixar o estado {state} após {max_retries} tentativas.') + raise e + except Exception as e: + log(f'Erro inesperado ao baixar {state}: {e}') + raise e @task( - max_retries=constants.TASK_MAX_RETRIES.value, + max_retries=3, retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), ) def download_car(inputpath, outputpath, sigla_uf): + os.makedirs(f'{inputpath}', exist_ok=True) + os.makedirs(f'{outputpath}', exist_ok=True) - os.makedirs( f'{inputpath}',exist_ok=True) - os.makedirs( f'{outputpath}',exist_ok=True) - - log('Downloading Car') + log('Downloading CAR') car = Sicar() - log(f'downloading state {sigla_uf}') + log(f'Iniciando o download do estado {sigla_uf}') try: - car.download_state( + retry_download_car( + car=car, state=sigla_uf, polygon=Polygon.AREA_PROPERTY, - folder=inputpath) - except httpx.ReadTimeout as e: - log(f'Erro de timeout ao baixar {sigla_uf}. \n {e}') + folder=inputpath, + max_retries=5 # Quantidade de tentativas de retry + ) + except httpx.ReadTimeout: + log(f'Erro final ao baixar {sigla_uf} após múltiplas tentativas.') + except Exception as e: + log(f'Erro geral ao baixar {sigla_uf}: {e}') @task( From d58d9d3515681ddfa595bc7cce3d5796a2e4389f Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Tue, 1 Oct 2024 10:22:56 -0300 Subject: [PATCH 09/16] feat: remove hardcoded params in download_car --- pipelines/datasets/br_sfb_sicar/constants.py | 3 ++- pipelines/datasets/br_sfb_sicar/flows.py | 3 ++- pipelines/datasets/br_sfb_sicar/tasks.py | 4 ++-- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/pipelines/datasets/br_sfb_sicar/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py index 06b1c8e95..daa7011c2 100644 --- a/pipelines/datasets/br_sfb_sicar/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -12,6 +12,7 @@ class Constants(Enum): # pylint: disable=c0103 UF_SIGLAS = [ 'AC', 'AL', 'AP', #'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', - #'MT', 'MS', 'MG', 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', + #'MT', 'MS', 'MG', + 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', #'RS', 'RO', 'RR', 'SC', 'SP', 'SE', 'TO' ] \ No newline at end of file diff --git a/pipelines/datasets/br_sfb_sicar/flows.py b/pipelines/datasets/br_sfb_sicar/flows.py index 9b7aa8bdd..6f43322b1 100644 --- a/pipelines/datasets/br_sfb_sicar/flows.py +++ b/pipelines/datasets/br_sfb_sicar/flows.py @@ -56,7 +56,8 @@ download_polygons = download_car.map( inputpath=unmapped(inputpath), outputpath=unmapped(outputpath), - sigla_uf=siglas_uf + sigla_uf=siglas_uf, + polygon=unmapped('AREA_IMOVEL'), ) ufs_release_dates = get_each_uf_release_date(upstream_tasks=[download_polygons]) diff --git a/pipelines/datasets/br_sfb_sicar/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py index 660798041..7aaaa7db0 100644 --- a/pipelines/datasets/br_sfb_sicar/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -51,7 +51,7 @@ def retry_download_car(car, state, polygon, folder, max_retries=8): max_retries=3, retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), ) -def download_car(inputpath, outputpath, sigla_uf): +def download_car(inputpath, outputpath, sigla_uf, polygon): os.makedirs(f'{inputpath}', exist_ok=True) os.makedirs(f'{outputpath}', exist_ok=True) @@ -65,7 +65,7 @@ def download_car(inputpath, outputpath, sigla_uf): retry_download_car( car=car, state=sigla_uf, - polygon=Polygon.AREA_PROPERTY, + polygon=polygon, folder=inputpath, max_retries=5 # Quantidade de tentativas de retry ) From ea7668f6c41cd4db5cb362855d7ca4197cdaf9f2 Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Tue, 1 Oct 2024 13:13:42 -0300 Subject: [PATCH 10/16] reorder functions in utils file --- pipelines/datasets/br_sfb_sicar/constants.py | 7 ++--- pipelines/datasets/br_sfb_sicar/tasks.py | 26 ++----------------- pipelines/datasets/br_sfb_sicar/utils.py | 27 ++++++++++++++++++++ 3 files changed, 33 insertions(+), 27 deletions(-) diff --git a/pipelines/datasets/br_sfb_sicar/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py index daa7011c2..02cb73a43 100644 --- a/pipelines/datasets/br_sfb_sicar/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -11,8 +11,9 @@ class Constants(Enum): # pylint: disable=c0103 OUTPUT_PATH = '/tmp/car/output' UF_SIGLAS = [ - 'AC', 'AL', 'AP', #'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', + 'SP', + #'AL', 'AP', 'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', #'MT', 'MS', 'MG', - 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', - #'RS', 'RO', 'RR', 'SC', 'SP', 'SE', 'TO' + #'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', + #'RS', 'RO', 'RR', 'SC', 'AC', 'SE', 'TO' ] \ No newline at end of file diff --git a/pipelines/datasets/br_sfb_sicar/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py index 7aaaa7db0..94cdcc4d4 100644 --- a/pipelines/datasets/br_sfb_sicar/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -17,36 +17,14 @@ ) from pipelines.datasets.br_sfb_sicar.utils import ( - process_all_files + process_all_files, + retry_download_car, ) from pipelines.utils.utils import log from pipelines.constants import constants -#wrapper para usar while e gerenciar erors -def retry_download_car(car, state, polygon, folder, max_retries=8): - retries = 0 - success = False - - while retries < max_retries and not success: - try: - car.download_state(state=state, polygon=polygon, folder=folder) - success = True - log(f'Download do estado {state} concluído com sucesso.') - except httpx.ReadTimeout as e: - retries += 1 - log(f'Erro de timeout ao baixar {state}. Tentativa {retries} de {max_retries}. Exceção: {e}') - log(f'Tentando novamente em 8 segundos') - tm.sleep(8) - if retries >= max_retries: - log(f'Falha ao baixar o estado {state} após {max_retries} tentativas.') - raise e - except Exception as e: - log(f'Erro inesperado ao baixar {state}: {e}') - raise e - - @task( max_retries=3, retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), diff --git a/pipelines/datasets/br_sfb_sicar/utils.py b/pipelines/datasets/br_sfb_sicar/utils.py index ddb951a5c..44f7f5837 100644 --- a/pipelines/datasets/br_sfb_sicar/utils.py +++ b/pipelines/datasets/br_sfb_sicar/utils.py @@ -10,6 +10,8 @@ import tempfile from datetime import datetime from pipelines.utils.utils import log +import httpx +import time as tm def unpack_zip(zip_file_path): temp_dir = tempfile.mkdtemp() @@ -74,3 +76,28 @@ def process_all_files(zip_folder, output_folder, uf_relase_dates): # Converte shapefile para parquet com coluna WKT para representar geometria convert_shp_to_parquet(shp_file_path, output_parquet_path, uf_relase_dates, sigla_uf) + + + +#wrapper para usar while e gerenciar erors +def retry_download_car(car, state, polygon, folder, max_retries=8): + retries = 0 + success = False + + while retries < max_retries and not success: + try: + car.download_state(state=state, polygon=polygon, folder=folder) + success = True + log(f'Download do estado {state} concluído com sucesso.') + except httpx.ReadTimeout as e: + retries += 1 + log(f'Erro de timeout ao baixar {state}. Tentativa {retries} de {max_retries}. Exceção: {e}') + log(f'Tentando novamente em 8 segundos') + tm.sleep(8) + if retries >= max_retries: + log(f'Falha ao baixar o estado {state} após {max_retries} tentativas.') + raise e + except Exception as e: + log(f'Erro inesperado ao baixar {state}: {e}') + raise e + From 94689af908844aa549b7df0aa58bbc80568632bc Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Wed, 2 Oct 2024 08:59:41 -0300 Subject: [PATCH 11/16] feat: add final flow version --- pipelines/datasets/br_sfb_sicar/constants.py | 8 +- pipelines/datasets/br_sfb_sicar/flows.py | 69 ++++++++-- pipelines/datasets/br_sfb_sicar/schedules.py | 27 ++++ pipelines/datasets/br_sfb_sicar/tasks.py | 14 +- pipelines/datasets/br_sfb_sicar/utils.py | 133 ++++++++++++++----- 5 files changed, 193 insertions(+), 58 deletions(-) diff --git a/pipelines/datasets/br_sfb_sicar/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py index 02cb73a43..ad973df70 100644 --- a/pipelines/datasets/br_sfb_sicar/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -12,8 +12,8 @@ class Constants(Enum): # pylint: disable=c0103 UF_SIGLAS = [ 'SP', - #'AL', 'AP', 'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', - #'MT', 'MS', 'MG', - #'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', - #'RS', 'RO', 'RR', 'SC', 'AC', 'SE', 'TO' + 'AL', 'AP', 'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', + 'MT', 'MS', 'MG', + 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', + 'RS', 'RO', 'RR', 'SC', 'AC', 'SE', 'TO' ] \ No newline at end of file diff --git a/pipelines/datasets/br_sfb_sicar/flows.py b/pipelines/datasets/br_sfb_sicar/flows.py index 6f43322b1..83fa05c14 100644 --- a/pipelines/datasets/br_sfb_sicar/flows.py +++ b/pipelines/datasets/br_sfb_sicar/flows.py @@ -13,7 +13,7 @@ from pipelines.constants import constants from pipelines.datasets.br_sfb_sicar.constants import Constants as car_constants -#rom pipelines.datasets.br_sfb_sicar.schedules import schedule_br_sfb_sicar_imoveis_rurais +from pipelines.datasets.br_sfb_sicar.schedules import schedule_br_sfb_sicar_area_imovel from pipelines.datasets.br_sfb_sicar.tasks import download_car, unzip_to_parquet, get_each_uf_release_date from pipelines.utils.constants import constants as utils_constants from pipelines.utils.decorators import Flow @@ -29,9 +29,10 @@ rename_current_flow_run_dataset_table, ) -inputpath = car_constants.INPUT_PATH.value -outputpath = car_constants.OUTPUT_PATH.value -siglas_uf = car_constants.UF_SIGLAS.value +INPUTPATH = car_constants.INPUT_PATH.value +OUTPUTPATH = car_constants.OUTPUT_PATH.value +SIGLAS_UF = car_constants.UF_SIGLAS.value + with Flow( name="br_sfb_sicar.area_imovel", code_owners=["Gabriel Pisa"] @@ -54,23 +55,23 @@ download_polygons = download_car.map( - inputpath=unmapped(inputpath), - outputpath=unmapped(outputpath), - sigla_uf=siglas_uf, + inputpath=unmapped(INPUTPATH), + outputpath=unmapped(OUTPUTPATH), + sigla_uf=SIGLAS_UF, polygon=unmapped('AREA_IMOVEL'), ) ufs_release_dates = get_each_uf_release_date(upstream_tasks=[download_polygons]) unzip_from_shp_to_parquet_wkt = unzip_to_parquet( - inputpath=inputpath, - outputpath=outputpath, + inputpath=INPUTPATH, + outputpath=OUTPUTPATH, uf_relase_dates=ufs_release_dates, upstream_tasks=[download_polygons,ufs_release_dates] ) wait_upload_table = create_table_and_upload_to_gcs( - data_path=outputpath, + data_path=OUTPUTPATH, dataset_id=dataset_id, table_id=table_id, dump_mode="append", @@ -78,9 +79,55 @@ wait=unzip_from_shp_to_parquet_wkt, ) + with case(materialize_after_dump, True): + + current_flow_labels = get_current_flow_labels() + materialization_flow = create_flow_run( + flow_name=utils_constants.FLOW_EXECUTE_DBT_MODEL_NAME.value, + project_name=constants.PREFECT_DEFAULT_PROJECT.value, + parameters={ + "dataset_id": dataset_id, + "table_id": table_id, + "mode": materialization_mode, + "dbt_alias": dbt_alias, + "dbt_command": "run/test", + "disable_elementary": False, + }, + labels=current_flow_labels, + run_name=f"Materialize {dataset_id}.{table_id}", + upstream_tasks = [wait_upload_table] + ) + + wait_for_materialization = wait_for_flow_run( + materialization_flow, + stream_states=True, + stream_logs=True, + raise_final_state=True, + ) + wait_for_materialization.max_retries = ( + dump_db_constants.WAIT_FOR_MATERIALIZATION_RETRY_ATTEMPTS.value + ) + wait_for_materialization.retry_delay = timedelta( + seconds=dump_db_constants.WAIT_FOR_MATERIALIZATION_RETRY_INTERVAL.value + ) + + with case(update_metadata, True): + update_django_metadata( + dataset_id=dataset_id, + table_id=table_id, + date_column_name={"date": "data_extracao",}, + date_format="%Y-%m-%d", + coverage_type="part_bdpro", + time_delta={"months": 6}, + prefect_mode=materialization_mode, + bq_project="basedosdados", + upstream_tasks=[wait_for_materialization], + ) + + br_sfb_sicar_area_imovel.storage = GCS(constants.GCS_FLOWS_BUCKET.value) br_sfb_sicar_area_imovel.run_config = KubernetesRun( image=constants.DOCKER_IMAGE.value ) -#br_sfb_sicar_area_imovel.schedule = schedule_br_sfb_sicar_area_imovel +br_sfb_sicar_area_imovel.schedule = schedule_br_sfb_sicar_area_imovel diff --git a/pipelines/datasets/br_sfb_sicar/schedules.py b/pipelines/datasets/br_sfb_sicar/schedules.py index 8abb4f84f..31b77cf36 100644 --- a/pipelines/datasets/br_sfb_sicar/schedules.py +++ b/pipelines/datasets/br_sfb_sicar/schedules.py @@ -3,4 +3,31 @@ Schedules for br_sfb_sicar """ +from datetime import datetime +from prefect.schedules import Schedule, adjustments, filters +from prefect.schedules.clocks import CronClock + +from pipelines.constants import constants + +schedule_br_sfb_sicar_area_imovel = Schedule( + clocks=[ + CronClock( + cron="15 21 15 * *", #At 21:15 on day-of-month 15 + start_date=datetime(2024, 10, 1, 0, 0), + labels=[ + constants.BASEDOSDADOS_PROD_AGENT_LABEL.value, + ], + parameter_defaults={ + "dataset_id": "br_sfb_sicar", + "table_id": "area_imovel", + "materialization_mode": "prod", + "materialize_after_dump": True, + "update_metadata": True, + "dbt_alias": True, + }, + ) + ], + filters=[filters.is_weekday], + adjustments=[adjustments.next_weekday], +) diff --git a/pipelines/datasets/br_sfb_sicar/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py index 94cdcc4d4..f299202d6 100644 --- a/pipelines/datasets/br_sfb_sicar/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -3,8 +3,6 @@ Tasks for br_sfb_sicar """ - - from prefect import task from SICAR import Sicar, Polygon, State import os @@ -33,7 +31,7 @@ def download_car(inputpath, outputpath, sigla_uf, polygon): os.makedirs(f'{inputpath}', exist_ok=True) os.makedirs(f'{outputpath}', exist_ok=True) - log('Downloading CAR') + log('Baixando o CAR') car = Sicar() @@ -45,22 +43,22 @@ def download_car(inputpath, outputpath, sigla_uf, polygon): state=sigla_uf, polygon=polygon, folder=inputpath, - max_retries=5 # Quantidade de tentativas de retry + max_retries=5 ) - except httpx.ReadTimeout: - log(f'Erro final ao baixar {sigla_uf} após múltiplas tentativas.') + except httpx.ReadTimeout as e: + log(f'Erro de Timeout {e} ao baixar dados de {sigla_uf} após múltiplas tentativas.') except Exception as e: log(f'Erro geral ao baixar {sigla_uf}: {e}') @task( - max_retries=constants.TASK_MAX_RETRIES.value, + max_retries=10, retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), ) def get_each_uf_release_date()-> Dict: car = Sicar() - log('Extracting UFs relasea date') + log('Extraindo a data de atualização dos dados de cada UF') car = Sicar() diff --git a/pipelines/datasets/br_sfb_sicar/utils.py b/pipelines/datasets/br_sfb_sicar/utils.py index 44f7f5837..65ce3546c 100644 --- a/pipelines/datasets/br_sfb_sicar/utils.py +++ b/pipelines/datasets/br_sfb_sicar/utils.py @@ -2,7 +2,6 @@ """ Utils for br_sfb_sicar """ - import geopandas as gpd import zipfile import os @@ -12,75 +11,140 @@ from pipelines.utils.utils import log import httpx import time as tm +import shutil + +def unpack_zip(zip_file_path: str) -> str: + """ + Descompacta um arquivo ZIP em um diretório temporário. + + Args: + zip_file_path (str): Caminho para o arquivo ZIP. -def unpack_zip(zip_file_path): + Retorna: + str: Caminho do diretório temporário onde os arquivos foram extraídos. + + Exceções: + zipfile.BadZipFile: Se o arquivo ZIP estiver corrompido ou inválido. + """ temp_dir = tempfile.mkdtemp() with zipfile.ZipFile(zip_file_path, 'r') as zip_ref: try: zip_ref.extractall(temp_dir) except zipfile.BadZipFile as e: - log(f"The zipfile {zip_file_path.split('/')[-1]} is problably corrupted. {e}") + log(f"O arquivo zip {zip_file_path.split('/')[-1]} está provavelmente corrompido. {e}") + raise e return temp_dir -def convert_shp_to_parquet(shp_file_path, output_parquet_path,uf_relase_dates,sigla_uf): - - gdf = gpd.read_file(shp_file_path) - - # Convertendo geometria para WKT - gdf['geometry'] = gdf['geometry'].apply(lambda geom: geom.wkt) +def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_relase_dates: dict, sigla_uf: str) -> None: + """ + Converte um arquivo .shp para o formato Parquet, incluindo a geometria como WKT. + + Args: + shp_file_path (str): Caminho para o arquivo .shp. + output_parquet_path (str): Caminho onde o arquivo Parquet será salvo. + uf_relase_dates (dict): Dicionário com as datas de lançamento por estado. + sigla_uf (str): Sigla do estado sendo processado. + + Exceções: + FileNotFoundError: Se o arquivo .shp não for encontrado. + ValueError: Se houver erro na conversão de data ou formatação incorreta. + RuntimeError: Se houver problemas na conversão da geometria para WKT. + """ + try: + gdf = gpd.read_file(shp_file_path) + except FileNotFoundError as e: + log(f"Arquivo .shp {shp_file_path} não encontrado. {e}") + raise e + + try: + # Convertendo geometria para WKT + gdf['geometry'] = gdf['geometry'].apply(lambda geom: geom.wkt) + except Exception as e: + log(f"Erro ao converter a geometria para WKT no arquivo {shp_file_path}. {e}") + raise RuntimeError(f"Erro na conversão de geometria para WKT: {e}") # Convertendo para DataFrame do pandas df = pd.DataFrame(gdf) - # Salvando em Parquet - - date = datetime.strptime(uf_relase_dates[sigla_uf], '%d/%m/%Y').strftime('%Y-%m-%d') - log(f'The relase date for {sigla_uf} was {date}') + try: + # Formatando a data de atualização a partir das informações do estado + date = datetime.strptime(uf_relase_dates[sigla_uf], '%d/%m/%Y').strftime('%Y-%m-%d') + except ValueError as e: + log(f"Erro ao converter a data de lançamento para {sigla_uf}. Verifique o formato no dicionário. {e}") + raise e + log(f'A data de atualização do CAR do Estado {sigla_uf} foi {date}') df['data_atualizacao_car'] = date + # Salvando em Parquet df.to_parquet(output_parquet_path, index=False) del df +def process_all_files(zip_folder: str, output_folder: str, uf_relase_dates: dict) -> None: + """ + Processa todos os arquivos ZIP em um diretório, descompactando-os e convertendo os arquivos .shp para Parquet. -def process_all_files(zip_folder, output_folder, uf_relase_dates): - + Args: + zip_folder (str): Caminho para o diretório contendo os arquivos ZIP. + output_folder (str): Caminho para o diretório onde os arquivos Parquet serão salvos. + uf_relase_dates (dict): Dicionário com as datas de lançamento dos dados por estado. + """ for zip_filename in os.listdir(zip_folder): - if zip_filename.endswith('.zip'): - zip_file_path = os.path.join(zip_folder, zip_filename) - - - zip_filename = os.path.basename(zip_file_path) sigla_uf = zip_filename.split('_')[0] data_particao = datetime.today().strftime('%Y-%m-%d') + # Descompactar o arquivo em diretório temporário unpacked_dir = unpack_zip(zip_file_path) - # Encontrar o arquivo .shp - shp_file = next((f for f in os.listdir(unpacked_dir) if f.endswith('.shp')), None) + try: + # Encontrar o arquivo .shp + shp_file = next((f for f in os.listdir(unpacked_dir) if f.endswith('.shp')), None) - if shp_file: - shp_file_path = os.path.join(unpacked_dir, shp_file) + if shp_file: + shp_file_path = os.path.join(unpacked_dir, shp_file) + sigla_uf_dir = os.path.join(output_folder, f"data_extracao={data_particao}/sigla_uf={sigla_uf}") + os.makedirs(sigla_uf_dir, exist_ok=True) + output_parquet_path = os.path.join(sigla_uf_dir, f"{os.path.splitext(shp_file)[0]}.parquet") + log(f"Salvando {output_parquet_path}") - sigla_uf_dir = os.path.join(output_folder, f"data_extracao={data_particao}/sigla_uf={sigla_uf}") - os.makedirs(sigla_uf_dir, exist_ok=True) + # Converte shapefile para Parquet com geometria em formato WKT + convert_shp_to_parquet(shp_file_path, output_parquet_path, uf_relase_dates, sigla_uf) + finally: + # Remove o diretório temporário após o processamento + shutil.rmtree(unpacked_dir) + log(f"Diretório temporário {unpacked_dir} removido.") - output_parquet_path = os.path.join(sigla_uf_dir, f"{os.path.splitext(shp_file)[0]}.parquet") - log(f"Salvando {output_parquet_path}") + # Remover o arquivo ZIP após o processamento + os.remove(zip_file_path) + log(f"Arquivo ZIP {zip_file_path} removido.") - # Converte shapefile para parquet com coluna WKT para representar geometria - convert_shp_to_parquet(shp_file_path, output_parquet_path, uf_relase_dates, sigla_uf) -#wrapper para usar while e gerenciar erors -def retry_download_car(car, state, polygon, folder, max_retries=8): + +def retry_download_car(car, state: str, polygon: bool, folder: str, max_retries: int = 8) -> None: + """ + Faz o download do CAR com tentativas em caso de falhas. + *NOTE* : A API do CAR é muito instável e timeouts ocorrem com frequência. Por isso a necessidade de tentativas sucessivas de estabelecer conexão e + finalizar o download. + + Args: + car: Objeto responsável pelo download. + state (str): Sigla do estado. + polygon (bool): Se o download deve incluir ou não o polígono. + folder (str): Diretório onde o arquivo será salvo. + max_retries (int): Número máximo de tentativas de download (padrão: 8). + + Exceções: + httpx.ReadTimeout: Se ocorrer um timeout ao tentar o download. + Exception: Qualquer outro erro inesperado durante o processo de download. + """ retries = 0 success = False @@ -92,12 +156,11 @@ def retry_download_car(car, state, polygon, folder, max_retries=8): except httpx.ReadTimeout as e: retries += 1 log(f'Erro de timeout ao baixar {state}. Tentativa {retries} de {max_retries}. Exceção: {e}') - log(f'Tentando novamente em 8 segundos') + log(f'Tentando novamente em 8 segundos.') tm.sleep(8) if retries >= max_retries: log(f'Falha ao baixar o estado {state} após {max_retries} tentativas.') raise e except Exception as e: log(f'Erro inesperado ao baixar {state}: {e}') - raise e - + raise e \ No newline at end of file From d72c775ee5ea9a43122e3d399e9a0845a95daf14 Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Wed, 2 Oct 2024 23:01:36 -0300 Subject: [PATCH 12/16] feat: add pyarrow bach processing --- pipelines/datasets/br_sfb_sicar/constants.py | 12 ++++++---- pipelines/datasets/br_sfb_sicar/tasks.py | 4 +++- pipelines/datasets/br_sfb_sicar/utils.py | 24 +++++++++++++++----- 3 files changed, 28 insertions(+), 12 deletions(-) diff --git a/pipelines/datasets/br_sfb_sicar/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py index ad973df70..81316f597 100644 --- a/pipelines/datasets/br_sfb_sicar/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -11,9 +11,11 @@ class Constants(Enum): # pylint: disable=c0103 OUTPUT_PATH = '/tmp/car/output' UF_SIGLAS = [ - 'SP', - 'AL', 'AP', 'AM', 'BA', 'CE', 'DF', 'ES', 'GO', 'MA', - 'MT', 'MS', 'MG', + + 'SP','BA','MT','RS','MG', + 'AL', 'AP', 'AM', 'CE', 'DF', 'ES', 'GO', 'MA', + 'MS', 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', - 'RS', 'RO', 'RR', 'SC', 'AC', 'SE', 'TO' - ] \ No newline at end of file + 'RO', 'RR', 'SC', 'AC', 'SE', 'TO' + ] + diff --git a/pipelines/datasets/br_sfb_sicar/tasks.py b/pipelines/datasets/br_sfb_sicar/tasks.py index f299202d6..bfe28ce6e 100644 --- a/pipelines/datasets/br_sfb_sicar/tasks.py +++ b/pipelines/datasets/br_sfb_sicar/tasks.py @@ -43,12 +43,14 @@ def download_car(inputpath, outputpath, sigla_uf, polygon): state=sigla_uf, polygon=polygon, folder=inputpath, - max_retries=5 + max_retries=8 ) except httpx.ReadTimeout as e: log(f'Erro de Timeout {e} ao baixar dados de {sigla_uf} após múltiplas tentativas.') + raise e except Exception as e: log(f'Erro geral ao baixar {sigla_uf}: {e}') + raise e @task( diff --git a/pipelines/datasets/br_sfb_sicar/utils.py b/pipelines/datasets/br_sfb_sicar/utils.py index 65ce3546c..058367984 100644 --- a/pipelines/datasets/br_sfb_sicar/utils.py +++ b/pipelines/datasets/br_sfb_sicar/utils.py @@ -12,6 +12,8 @@ import httpx import time as tm import shutil +import pyarrow as pa +import pyarrow.parquet as pq def unpack_zip(zip_file_path: str) -> str: """ @@ -36,15 +38,16 @@ def unpack_zip(zip_file_path: str) -> str: raise e return temp_dir -def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_relase_dates: dict, sigla_uf: str) -> None: +def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_relase_dates: dict, sigla_uf: str, row_group_size: int = 200000) -> None: """ - Converte um arquivo .shp para o formato Parquet, incluindo a geometria como WKT. + Converte um arquivo .shp para o formato Parquet, incluindo a geometria como WKT e salvando em lotes (row groups). Args: shp_file_path (str): Caminho para o arquivo .shp. output_parquet_path (str): Caminho onde o arquivo Parquet será salvo. uf_relase_dates (dict): Dicionário com as datas de lançamento por estado. sigla_uf (str): Sigla do estado sendo processado. + row_group_size (int): Número máximo de linhas em cada row group. Padrão é None, o que usará o tamanho mínimo entre 1Mi e o tamanho do RecordBatch. Exceções: FileNotFoundError: Se o arquivo .shp não for encontrado. @@ -52,6 +55,7 @@ def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_rela RuntimeError: Se houver problemas na conversão da geometria para WKT. """ try: + # Lendo o shapefile usando Geopandas gdf = gpd.read_file(shp_file_path) except FileNotFoundError as e: log(f"Arquivo .shp {shp_file_path} não encontrado. {e}") @@ -77,9 +81,16 @@ def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_rela log(f'A data de atualização do CAR do Estado {sigla_uf} foi {date}') df['data_atualizacao_car'] = date - # Salvando em Parquet - df.to_parquet(output_parquet_path, index=False) + # Preparando para salvar usando pyarrow + table = pa.Table.from_pandas(df) + log(f"Iniciando salvamento do arquivo Parquet usando row groups com tamanho {row_group_size} linhas.") + # Usar ParquetWriter para salvar os dados em row groups + with pq.ParquetWriter(output_parquet_path, table.schema) as writer: + batch = pa.RecordBatch.from_pandas(df) + writer.write_batch(batch, row_group_size=row_group_size) + + log(f"Arquivo Parquet {output_parquet_path} salvo com sucesso.") del df def process_all_files(zip_folder: str, output_folder: str, uf_relase_dates: dict) -> None: @@ -162,5 +173,6 @@ def retry_download_car(car, state: str, polygon: bool, folder: str, max_retries: log(f'Falha ao baixar o estado {state} após {max_retries} tentativas.') raise e except Exception as e: - log(f'Erro inesperado ao baixar {state}: {e}') - raise e \ No newline at end of file + if retries >= max_retries: + log(f'Erro inesperado ao baixar {state}: {e}') + raise e \ No newline at end of file From 13e1c19480190d2fdf7621217915559de47e26fd Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Thu, 3 Oct 2024 08:33:25 -0300 Subject: [PATCH 13/16] feat: refactor convert_shp_to_parquet --- pipelines/datasets/br_sfb_sicar/utils.py | 107 ++++++++++++++++------- 1 file changed, 74 insertions(+), 33 deletions(-) diff --git a/pipelines/datasets/br_sfb_sicar/utils.py b/pipelines/datasets/br_sfb_sicar/utils.py index 058367984..6822fa5da 100644 --- a/pipelines/datasets/br_sfb_sicar/utils.py +++ b/pipelines/datasets/br_sfb_sicar/utils.py @@ -2,18 +2,22 @@ """ Utils for br_sfb_sicar """ + +from pipelines.utils.utils import log + import geopandas as gpd import zipfile import os import pandas as pd import tempfile from datetime import datetime -from pipelines.utils.utils import log import httpx import time as tm import shutil import pyarrow as pa import pyarrow.parquet as pq +import fiona + def unpack_zip(zip_file_path: str) -> str: """ @@ -38,16 +42,24 @@ def unpack_zip(zip_file_path: str) -> str: raise e return temp_dir -def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_relase_dates: dict, sigla_uf: str, row_group_size: int = 200000) -> None: + + +def convert_shp_to_parquet( + shp_file_path: str, + output_parquet_path: str, + uf_relase_dates: dict, + sigla_uf: str, + chunk_size: int = 100000 +) -> None: """ - Converte um arquivo .shp para o formato Parquet, incluindo a geometria como WKT e salvando em lotes (row groups). + Converte um arquivo .shp para o formato Parquet, incluindo a geometria como WKT e processando em chunks. Args: shp_file_path (str): Caminho para o arquivo .shp. output_parquet_path (str): Caminho onde o arquivo Parquet será salvo. uf_relase_dates (dict): Dicionário com as datas de lançamento por estado. sigla_uf (str): Sigla do estado sendo processado. - row_group_size (int): Número máximo de linhas em cada row group. Padrão é None, o que usará o tamanho mínimo entre 1Mi e o tamanho do RecordBatch. + chunk_size (int): Número de registros a serem processados por chunk. Exceções: FileNotFoundError: Se o arquivo .shp não for encontrado. @@ -55,43 +67,72 @@ def convert_shp_to_parquet(shp_file_path: str, output_parquet_path: str, uf_rela RuntimeError: Se houver problemas na conversão da geometria para WKT. """ try: - # Lendo o shapefile usando Geopandas - gdf = gpd.read_file(shp_file_path) - except FileNotFoundError as e: - log(f"Arquivo .shp {shp_file_path} não encontrado. {e}") - raise e - - try: - # Convertendo geometria para WKT - gdf['geometry'] = gdf['geometry'].apply(lambda geom: geom.wkt) - except Exception as e: - log(f"Erro ao converter a geometria para WKT no arquivo {shp_file_path}. {e}") - raise RuntimeError(f"Erro na conversão de geometria para WKT: {e}") - - # Convertendo para DataFrame do pandas - df = pd.DataFrame(gdf) - - try: - # Formatando a data de atualização a partir das informações do estado + # Obter a data de atualização a partir das informações do estado date = datetime.strptime(uf_relase_dates[sigla_uf], '%d/%m/%Y').strftime('%Y-%m-%d') + log(f'A data de atualização do CAR do Estado {sigla_uf} foi {date}') except ValueError as e: log(f"Erro ao converter a data de lançamento para {sigla_uf}. Verifique o formato no dicionário. {e}") raise e - log(f'A data de atualização do CAR do Estado {sigla_uf} foi {date}') - df['data_atualizacao_car'] = date - - # Preparando para salvar usando pyarrow - table = pa.Table.from_pandas(df) - log(f"Iniciando salvamento do arquivo Parquet usando row groups com tamanho {row_group_size} linhas.") + # Abrir o shapefile usando fiona + try: + log(f"Lendo arquivo {shp_file_path}") + with fiona.open(shp_file_path, 'r') as src: + total_features = len(src) + log(f"Total de registros no shapefile: {total_features}") + + features = [] + writer = None # Inicializa o writer como None + + for i, feature in enumerate(src, 1): + features.append(feature) + # Quando atingir o tamanho do chunk ou último registro + if len(features) == chunk_size or i == total_features: + # Converter lista de features para GeoDataFrame + gdf_chunk = gpd.GeoDataFrame.from_features(features, crs=src.crs) + try: + # Convertendo geometria para WKT + gdf_chunk['geometry'] = gdf_chunk['geometry'].apply(lambda geom: geom.wkt) + except Exception as e: + log(f"Erro ao converter a geometria para WKT no chunk que termina no registro {i}. {e}") + raise RuntimeError(f"Erro na conversão de geometria para WKT: {e}") + + # Adicionar a data de atualização + gdf_chunk['data_atualizacao_car'] = date + + # Converter para pandas DataFrame + df_chunk = pd.DataFrame(gdf_chunk) + + # Converter para PyArrow Table + table_chunk = pa.Table.from_pandas(df_chunk) + + # Inicializar o ParquetWriter com o esquema na primeira iteração + if writer is None: + schema = table_chunk.schema + writer = pq.ParquetWriter(output_parquet_path, schema) + + # Escrever o chunk no arquivo Parquet + writer.write_table(table_chunk) + log(f"Chunk até registro {i} escrito no arquivo Parquet.") + + # Limpar lista de features + features = [] + del gdf_chunk, df_chunk, table_chunk + + # Fechar o writer após escrever todos os chunks + if writer is not None: + writer.close() - # Usar ParquetWriter para salvar os dados em row groups - with pq.ParquetWriter(output_parquet_path, table.schema) as writer: - batch = pa.RecordBatch.from_pandas(df) - writer.write_batch(batch, row_group_size=row_group_size) + except FileNotFoundError as e: + log(f"Arquivo .shp {shp_file_path} não encontrado. {e}") + raise e + except Exception as e: + log(f"Erro inesperado ao processar o arquivo {shp_file_path}: {e}") + raise e log(f"Arquivo Parquet {output_parquet_path} salvo com sucesso.") - del df + + def process_all_files(zip_folder: str, output_folder: str, uf_relase_dates: dict) -> None: """ From 338e47cc45acd11989adbd8c0bdb148041c6a7b5 Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Thu, 3 Oct 2024 08:58:55 -0300 Subject: [PATCH 14/16] feat: add fiona module --- poetry.lock | 83 +++++++++++++++++++++++++++++++++++++++++++++++++- pyproject.toml | 1 + 2 files changed, 83 insertions(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 8d34d0bf8..a00dccdc3 100644 --- a/poetry.lock +++ b/poetry.lock 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"pytz"] + [[package]] name = "fonttools" version = "4.53.1" @@ -5408,4 +5489,4 @@ heapdict = "*" [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.11" -content-hash = "77dfb0a9b3053d6884dbc3ef6648f4b2a88e91292680d4f3eabc1a62da3a7568" +content-hash = "271b66dc7c3b5949235b022dfb21e8ce280bf2e81800e8d15a47e6c25ca377ca" diff --git a/pyproject.toml b/pyproject.toml index af8c7a11c..54f007452 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -121,6 +121,7 @@ dbfread = "^2.0.7" aiohttp = "^3.9.3" dateparser = "^1.2.0" sicar = {git = "https://github.com/urbanogilson/SICAR.git"} +fiona = "^1.10.1" [tool.poetry.group.dev] From 578e98cd5e6fd91239d7e14457edd6a493f2443c Mon Sep 17 00:00:00 2001 From: tricktx Date: Mon, 7 Oct 2024 11:24:24 -0300 Subject: [PATCH 15/16] add headers in check if url is valid --- pipelines/utils/crawler_camara_dados_abertos/constants.py | 4 ++++ pipelines/utils/crawler_camara_dados_abertos/tasks.py | 8 +++++--- pipelines/utils/crawler_camara_dados_abertos/utils.py | 8 +++----- 3 files changed, 12 insertions(+), 8 deletions(-) diff --git a/pipelines/utils/crawler_camara_dados_abertos/constants.py b/pipelines/utils/crawler_camara_dados_abertos/constants.py index 7c4fa79a5..3383c1760 100755 --- a/pipelines/utils/crawler_camara_dados_abertos/constants.py +++ b/pipelines/utils/crawler_camara_dados_abertos/constants.py @@ -14,6 +14,10 @@ class constants(Enum): ANO_ATUAL = (datetime.now()).year ANO_ANTERIOR = (ANO_ATUAL - 1) + HEADERS = { + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3" + } + TABLES_INPUT_PATH = { # ! - > Proposição "proposicao_microdados": f"/tmp/input/proposicoes-{ANO_ATUAL}.csv", diff --git a/pipelines/utils/crawler_camara_dados_abertos/tasks.py b/pipelines/utils/crawler_camara_dados_abertos/tasks.py index 76d00e79b..7c51ccd87 100755 --- a/pipelines/utils/crawler_camara_dados_abertos/tasks.py +++ b/pipelines/utils/crawler_camara_dados_abertos/tasks.py @@ -24,7 +24,7 @@ def save_data(table_id: str) -> str: df = download_and_read_data(table_id) if not os.path.exists(f'{constants_camara.OUTPUT_PATH.value}{table_id}'): os.makedirs(f'{constants_camara.OUTPUT_PATH.value}{table_id}') - log(f'testando : {constants_camara.OUTPUT_PATH.value}{table_id}') + output_path = constants_camara.TABLES_OUTPUT_PATH.value[table_id] if table_id == "proposicao_microdados": @@ -74,11 +74,13 @@ def save_data(table_id: str) -> str: retry_delay=timedelta(seconds=constants.TASK_RETRY_DELAY.value), ) def check_if_url_is_valid(table_id:str) -> bool: - if requests.get(constants_camara.TABLES_URL.value[table_id]).status_code == 200: + if requests.get(constants_camara.TABLES_URL.value[table_id], headers=constants_camara.HEADERS.value).status_code == 200: log("URL is valid") + log(constants_camara.TABLES_URL.value[table_id]) return True - elif requests.get(constants_camara.TABLES_URL_ANO_ANTERIOR.value[table_id]).status_code == 200: + elif requests.get(constants_camara.TABLES_URL_ANO_ANTERIOR.value[table_id], headers=constants_camara.HEADERS.value).status_code == 200: log("Table is not available in the current year only in the previous year") + log(constants_camara.TABLES_URL_ANO_ANTERIOR.value[table_id]) return False else: raise ValueError("URL is not valid") diff --git a/pipelines/utils/crawler_camara_dados_abertos/utils.py b/pipelines/utils/crawler_camara_dados_abertos/utils.py index 6630f701e..3285f3467 100755 --- a/pipelines/utils/crawler_camara_dados_abertos/utils.py +++ b/pipelines/utils/crawler_camara_dados_abertos/utils.py @@ -11,6 +11,7 @@ # ----------------------------------------------------------------------------------- > Universal def download_table_despesa(table_id:str) -> None: + http_response = urlopen(constants_camara.TABLES_URL.value[table_id]) zipfile = ZipFile(BytesIO(http_response.read())) zipfile.extractall(path=constants_camara.INPUT_PATH.value) @@ -34,13 +35,10 @@ def download_all_table(table_id: str) -> None: url = constants_camara.TABLES_URL.value[table_id] input_path = constants_camara.TABLES_INPUT_PATH.value[table_id] - headers = { - "Content-Type": "application/json;charset=UTF-8", - "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko)" - } + log(f"Downloading {table_id} from {url}") - response = requests.get(url, headers=headers) + response = requests.get(url, headers=constants_camara.HEADERS.value) if response.status_code == 200: with open(input_path, "wb") as f: f.write(response.content) From 8325860e8c5e03c4fbc55dd8fc37e88cd8d94b4b Mon Sep 17 00:00:00 2001 From: uiro-bi Date: Tue, 8 Oct 2024 10:15:03 -0300 Subject: [PATCH 16/16] remove temp.py | update constants.py --- pipelines/datasets/br_sfb_sicar/constants.py | 8 ++++---- pipelines/datasets/br_sfb_sicar/temp.py | 8 -------- 2 files changed, 4 insertions(+), 12 deletions(-) delete mode 100644 pipelines/datasets/br_sfb_sicar/temp.py diff --git a/pipelines/datasets/br_sfb_sicar/constants.py b/pipelines/datasets/br_sfb_sicar/constants.py index 81316f597..76e27afa2 100644 --- a/pipelines/datasets/br_sfb_sicar/constants.py +++ b/pipelines/datasets/br_sfb_sicar/constants.py @@ -13,9 +13,9 @@ class Constants(Enum): # pylint: disable=c0103 UF_SIGLAS = [ 'SP','BA','MT','RS','MG', - 'AL', 'AP', 'AM', 'CE', 'DF', 'ES', 'GO', 'MA', - 'MS', - 'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', 'RN', - 'RO', 'RR', 'SC', 'AC', 'SE', 'TO' + 'AL','AP','AM','CE','RN', + 'DF','ES','GO','MA','MS', + 'PA','PB','PR','PE','PI','RJ', + 'RO','RR','SC','AC','SE','TO' ] diff --git a/pipelines/datasets/br_sfb_sicar/temp.py b/pipelines/datasets/br_sfb_sicar/temp.py deleted file mode 100644 index eed9e4a69..000000000 --- a/pipelines/datasets/br_sfb_sicar/temp.py +++ /dev/null @@ -1,8 +0,0 @@ -# -*- coding: utf-8 -*- -from SICAR import Sicar - -car = Sicar() - -d = car.get_release_dates() - -print(d['PA'])