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TeoCalvo
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# Databricks notebook source | ||
import requests | ||
import json | ||
import os | ||
import zipfile | ||
from multiprocessing import Pool | ||
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# COMMAND ---------- | ||
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with open("datasources.json", "r") as open_file: | ||
datasources = json.load(open_file) | ||
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dbutils.widgets.dropdown("tipo_coleta", | ||
defaultValue=list(datasources.keys())[0], | ||
choices=datasources.keys(), | ||
label="Tipo Coleta") | ||
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# COMMAND ---------- | ||
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datasource = dbutils.widgets.get("tipo_coleta") | ||
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url = datasources[datasource]['url'] | ||
base_path = datasources[datasource]['path'] | ||
if not os.path.exists(base_path): | ||
os.mkdir(base_path) | ||
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anos_start = datasources[datasource]['anos']['start'] | ||
anos_stop = datasources[datasource]['anos']['stop']+1 | ||
anos_step = datasources[datasource]['anos']['step'] | ||
anos = list(range(anos_start, anos_stop, anos_step)) | ||
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download_path = os.path.join(base_path, "download.zip") | ||
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sufix_not_remove = datasources[datasource]['sufix_not_remove'] | ||
sufix_manage = datasources[datasource]['sufix_manage'] | ||
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ufs = [ | ||
'AC', 'AL', 'AP', 'AM', | ||
'BA', | ||
'CE', | ||
'ES', | ||
'GO', | ||
'MA', 'MT', 'MS', 'MG', | ||
'PA', 'PB', 'PR', 'PE', 'PI', 'RJ', | ||
'RN', 'RS', 'RO', 'RR', | ||
'SC', 'SP', 'SE', 'TO' | ||
] | ||
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# COMMAND ---------- | ||
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def check_sufix(text, sufixes): | ||
for s in sufixes: | ||
if text.endswith(s): | ||
return True | ||
return False | ||
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def get_data(url, download_path): | ||
response = requests.get(url) | ||
if response.status_code == 404: | ||
return response | ||
with open(download_path, "wb") as open_file: | ||
open_file.write(response.content) | ||
return response | ||
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def unzip_download(download_path, unzip_path): | ||
with zipfile.ZipFile(download_path, 'r') as zip_ref: | ||
zip_ref.extractall(unzip_path) | ||
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def remove_files(path, sufix_not_remove=["BR.csv", "BRASIL.csv"]): | ||
all_files = dbutils.fs.ls(path.replace("/dbfs", "")) | ||
to_remove = [i.path for i in all_files if not check_sufix(i.name, sufix_not_remove)] | ||
for i in to_remove: | ||
dbutils.fs.rm(i) | ||
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def manage_files(path, sufix_to_move=['csv', 'txt']): | ||
db_path = path.replace("/dbfs", "") | ||
all_files = dbutils.fs.ls(db_path) | ||
for s in sufix_to_move: | ||
s_files = [i.path for i in all_files if i.name.endswith(s)] | ||
dbutils.fs.mkdirs(os.path.join(db_path, s)) | ||
for file in s_files: | ||
dbutils.fs.mv(file, os.path.join(db_path, s)) | ||
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def get_years(url, anos, uf, download_path, base_path): | ||
for i in anos: | ||
print(f"{uf}-{i}") | ||
resp = get_data(url.format(ano=i, uf=uf), download_path) | ||
if resp.status_code != 200: | ||
print(f"Ignorado, razão: Código {resp.status_code}.") | ||
continue | ||
try: | ||
unzip_download(download_path, base_path) | ||
except: | ||
print("erro ao tentar extrair os dados:", i, "-", uf) | ||
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# COMMAND ---------- | ||
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if datasource.endswith("uf"): | ||
print("Coletando dados de eleições por estado") | ||
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data = [(url, anos, uf, download_path.replace("download", f"download_{uf}"), base_path) for uf in ufs] | ||
with Pool(1) as p: | ||
p.starmap(get_years, data) | ||
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else: | ||
print("Coletando dados de eleições nível nacional") | ||
get_years(url, anos, "BR", download_path, base_path) | ||
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print("Movendo arquivos...") | ||
manage_files(base_path) | ||
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for i in sufix_manage: | ||
remove_path = os.path.join(base_path.replace("/dbfs", ""), i) | ||
remove_files(remove_path, sufix_not_remove) |
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{ | ||
"candidatos":{ | ||
"url": "https://cdn.tse.jus.br/estatistica/sead/odsele/consulta_cand/consulta_cand_{ano}.zip", | ||
"path": "/dbfs/mnt/datalake/tse/candidatos/", | ||
"sufix_not_remove": ["BRASIL.csv"], | ||
"sufix_manage": ["csv", "txt"], | ||
"anos": { | ||
"start": 2018, | ||
"stop": 2022, | ||
"step": 2 | ||
} | ||
}, | ||
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"bem_candidatos":{ | ||
"url": "https://cdn.tse.jus.br/estatistica/sead/odsele/bem_candidato/bem_candidato_{ano}.zip", | ||
"path": "/dbfs/mnt/datalake/tse/bem_candidatos/", | ||
"sufix_not_remove": ["BRASIL.csv"], | ||
"sufix_manage": ["csv", "txt"], | ||
"anos": { | ||
"start": 2000, | ||
"stop": 2022, | ||
"step": 2 | ||
} | ||
}, | ||
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"votacao":{ | ||
"url": "https://cdn.tse.jus.br/estatistica/sead/odsele/votacao_secao/votacao_secao_{ano}_BR.zip", | ||
"path": "/dbfs/mnt/datalake/tse/votacao/", | ||
"sufix_not_remove": [".csv", ".txt"], | ||
"sufix_manage": ["csv", "txt"], | ||
"anos": { | ||
"start": 2002, | ||
"stop": 2022, | ||
"step": 4 | ||
} | ||
}, | ||
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"votacao_uf":{ | ||
"url": "https://cdn.tse.jus.br/estatistica/sead/odsele/votacao_secao/votacao_secao_{ano}_{uf}.zip", | ||
"path": "/dbfs/mnt/datalake/tse/votacao/", | ||
"sufix_not_remove": [".csv", ".txt"], | ||
"sufix_manage": ["csv", "txt"], | ||
"anos": { | ||
"start": 2000, | ||
"stop": 2022, | ||
"step": 4 | ||
} | ||
} | ||
} | ||
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