From ee51bf1349109d01d1cac25ca66fe4bb3f276373 Mon Sep 17 00:00:00 2001 From: folhesgabriel Date: Fri, 25 Apr 2025 15:33:47 -0300 Subject: [PATCH 1/6] update dependencies --- poetry.lock | 604 ++++++++++++++++++++++++++++++++++++++----------- profiles.yml | 4 +- pyproject.toml | 1 + 3 files changed, 471 insertions(+), 138 deletions(-) diff --git a/poetry.lock b/poetry.lock index f0d6c025..2e72f156 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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"6e1a0770383dbafedbefc3382121837ba6ffd5dbb883e65489799962223418e1" diff --git a/profiles.yml b/profiles.yml index 767897e9..5b7d75b0 100644 --- a/profiles.yml +++ b/profiles.yml @@ -9,7 +9,7 @@ default: dataset: dbt location: US threads: 2 - keyfile: /credentials-dev/dev.json + keyfile: /home/gabri/.dbt/prod.json prod: type: bigquery method: service-account @@ -17,7 +17,7 @@ default: dataset: dbt location: US threads: 2 - keyfile: /credentials-prod/prod.json + keyfile: /home/gabri/.dbt/prod.json elementary: outputs: default: diff --git a/pyproject.toml b/pyproject.toml index b64d0e3a..597c2525 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,6 +11,7 @@ dbt-core = "1.5.6" dbt-bigquery = "1.5.9" dbt-rpc = "0.4.2" pyyaml = "6.0" +aiohttp = "^3.11.18" [tool.poetry.group.dev] optional = true From 6abb91d1f51fdd21ea4f6115e72ed80f0709b7f6 Mon Sep 17 00:00:00 2001 From: folhesgabriel Date: Fri, 25 Apr 2025 15:35:13 -0300 Subject: [PATCH 2/6] feat: add async crawler to censo 2022 --- .../code/censo_2022_fpt_crawler.py | 41 +++++++++ models/br_ibge_censo_2022/code/utils.py | 83 +++++++++++++++++++ 2 files changed, 124 insertions(+) create mode 100644 models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py create mode 100644 models/br_ibge_censo_2022/code/utils.py diff --git a/models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py b/models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py new file mode 100644 index 00000000..ffa57766 --- /dev/null +++ b/models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py @@ -0,0 +1,41 @@ +import basedosdados as bd +from utils import async_crawler_ibge_municipio +import asyncio + +API_URL_BASE = "https://servicodados.ibge.gov.br/api/v3/agregados/{}/periodos/{}/variaveis/{}?localidades={}[{}]&classificacao={}" +AGREGADO = "10061" +PERIODOS = 'all' +VARIAVEIS = "|".join(["2667", "1002667"]) +NIVEL_GEOGRAFICO = "N6" +LOCALIDADES = "all" +#NOTE: Seleciona todas as variáveis possíveis +CLASSIFICACAO = "1568[all]|58[all]|2[all]|86[all]" + + +BILLING_ID = "pisagab-staging" +nome_tabela = "br_ibge_censo_2022_fpt" + +if __name__ == "__main__": + + municipios = bd.read_sql( + """ + SELECT id_municipio + FROM `basedosdados.br_bd_diretorios_brasil.municipio` + WHERE amazonia_legal = 1 + """, + billing_project_id=BILLING_ID, + ) + + print('------ Baixando dados da API ------') + asyncio.run( + async_crawler_ibge_municipio( + year=PERIODOS, + variables=VARIAVEIS, + api_url_base=API_URL_BASE, + agregado=AGREGADO, + nivel_geografico=NIVEL_GEOGRAFICO, + localidades=municipios, + classificacao=CLASSIFICACAO, + nome_tabela=nome_tabela, + ) + ) \ No newline at end of file diff --git a/models/br_ibge_censo_2022/code/utils.py b/models/br_ibge_censo_2022/code/utils.py new file mode 100644 index 00000000..220680d9 --- /dev/null +++ b/models/br_ibge_censo_2022/code/utils.py @@ -0,0 +1,83 @@ +import aiohttp +import os +import json +from tqdm.asyncio import tqdm +from aiohttp import ClientTimeout, TCPConnector +from tqdm import tqdm +from typing import Dict, Any, List +import asyncio +import pandas as pd + +async def fetch(session: aiohttp.ClientSession, url: str) -> Dict[str, Any]: + """ + Faz uma requisição GET à API e retorna a resposta em formato JSON. + + Parâmetros: + - session (aiohttp.ClientSession): A sessão do cliente aiohttp. + - url (str): A URL da API para a qual a requisição será feita. + + Retorna: + - Dict[str, Any]: A resposta da API em formato JSON. + """ + async with session.get(url) as response: + return await response.json() + +async def async_crawler_ibge_municipio( + year: List[int], + variables: List[str], + api_url_base: str, + agregado: str, + nivel_geografico: str, + localidades: pd.DataFrame, + classificacao: List[str], + nome_tabela: str + ) -> None: + """ + Faz requisições para a API para cada ano, variável e categoria, salvando as respostas em arquivos JSON. + Processa municípios em grupos de 30 para otimizar as requisições. + Este crawler foi idealizado para extrair dados por município. Essa foi a forma mais geral utilizada + para contornar a limitação da API do IBGE. + """ + + all_municipios = localidades['id_municipio'].tolist() + + batch_size = 30 + + for i in range(0, len(all_municipios), batch_size): + batch_municipios = all_municipios[i:i+batch_size] + print(f'Consultando dados dos municípios: {i+1}-{min(i+batch_size, len(all_municipios))} de {len(all_municipios)}') + + async with aiohttp.ClientSession( + connector=TCPConnector(limit=100, force_close=True), + timeout=ClientTimeout(total=1200) + ) as session: + tasks = [] + + for localidade in batch_municipios: + url = api_url_base.format( + agregado, + year, + variables, + nivel_geografico, + localidade, + classificacao, + ) + print(f"URL for municipio {localidade}: {url}") + task = fetch(session, url) + tasks.append((localidade, asyncio.ensure_future(task))) + + for localidade, future in tqdm(tasks, total=len(tasks)): + try: + response = await future + os.makedirs(f'../tmp/{nome_tabela}', exist_ok=True) + with open(f'../tmp/{nome_tabela}/{localidade}.json', 'w') as f: + json.dump(response, f) + except asyncio.TimeoutError: + print(f"Request timed out for municipality {localidade}") + except Exception as e: + print(f"Error processing municipality {localidade}: {str(e)}") + + await asyncio.sleep(1) + + + \ No newline at end of file From acc5a49e288ea8b59e57de8931545306cd2bde34 Mon Sep 17 00:00:00 2001 From: folhesgabriel Date: Mon, 28 Apr 2025 13:59:28 -0300 Subject: [PATCH 3/6] feat: add json parser --- .../code/censo_2022_fpt_crawler.py | 41 ------ ...cao_domicilio_grupo_idade_sexo_raca_cor.py | 48 +++++++ ...vel_instrucao_grupo_idade_sexo_raca_cor.py | 54 ++++++++ models/br_ibge_censo_2022/code/utils.py | 126 +++++++++++++++++- 4 files changed, 227 insertions(+), 42 deletions(-) delete mode 100644 models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py create mode 100644 models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py create mode 100644 models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py diff --git a/models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py b/models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py deleted file mode 100644 index ffa57766..00000000 --- a/models/br_ibge_censo_2022/code/censo_2022_fpt_crawler.py +++ /dev/null @@ -1,41 +0,0 @@ -import basedosdados as bd -from utils import async_crawler_ibge_municipio -import asyncio - -API_URL_BASE = "https://servicodados.ibge.gov.br/api/v3/agregados/{}/periodos/{}/variaveis/{}?localidades={}[{}]&classificacao={}" -AGREGADO = "10061" -PERIODOS = 'all' -VARIAVEIS = "|".join(["2667", "1002667"]) -NIVEL_GEOGRAFICO = "N6" -LOCALIDADES = "all" -#NOTE: Seleciona todas as variáveis possíveis -CLASSIFICACAO = "1568[all]|58[all]|2[all]|86[all]" - - -BILLING_ID = "pisagab-staging" -nome_tabela = "br_ibge_censo_2022_fpt" - -if __name__ == "__main__": - - municipios = bd.read_sql( - """ - SELECT id_municipio - FROM `basedosdados.br_bd_diretorios_brasil.municipio` - WHERE amazonia_legal = 1 - """, - billing_project_id=BILLING_ID, - ) - - print('------ Baixando dados da API ------') - asyncio.run( - async_crawler_ibge_municipio( - year=PERIODOS, - variables=VARIAVEIS, - api_url_base=API_URL_BASE, - agregado=AGREGADO, - nivel_geografico=NIVEL_GEOGRAFICO, - localidades=municipios, - classificacao=CLASSIFICACAO, - nome_tabela=nome_tabela, - ) - ) \ No newline at end of file diff --git a/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py b/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py new file mode 100644 index 00000000..175ffd64 --- /dev/null +++ b/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py @@ -0,0 +1,48 @@ +import basedosdados as bd +from utils import ( + async_crawler_ibge_municipio, + parse_ibge_json, + parse_files_save_parquet, + uf_id_sigla, +) +import asyncio + +API_URL_BASE = "https://servicodados.ibge.gov.br/api/v3/agregados/{}/periodos/{}/variaveis/{}?localidades={}[{}]&classificacao={}" +AGREGADO = "9878" +PERIODOS = 'all' +VARIAVEIS = "|".join(["2133", "1002133"]) +NIVEL_GEOGRAFICO = "N6" +LOCALIDADES = "all" +#NOTE: Seleciona todas as variáveis possíveis +CLASSIFICACAO = "11603[all]|11561[all]|12237[all]|11562[all]" + + +BILLING_ID = "pisagab-staging" +nome_tabela = "condicao_domicilio_grupo_idade_sexo_raca_cor" + +if __name__ == "__main__": + + # municipios = bd.read_sql( + # """ + # SELECT id_municipio + # FROM `basedosdados.br_bd_diretorios_brasil.municipio` + # """, + # billing_project_id=BILLING_ID, + # ) + + # print('------ Baixando dados da API ------') + # asyncio.run( + # async_crawler_ibge_municipio( + # year=PERIODOS, + # variables=VARIAVEIS, + # api_url_base=API_URL_BASE, + # agregado=AGREGADO, + # nivel_geografico=NIVEL_GEOGRAFICO, + # localidades=municipios, + # classificacao=CLASSIFICACAO, + # nome_tabela=nome_tabela, + # ) + # ) + + print('------ Processando dados ------') + parse_files_save_parquet(nome_tabela, uf_id_sigla) \ No newline at end of file diff --git a/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py b/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py new file mode 100644 index 00000000..503e6a32 --- /dev/null +++ b/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py @@ -0,0 +1,54 @@ +import basedosdados as bd +from utils import ( + async_crawler_ibge_municipio, + parse_ibge_json, + parse_files_save_parquet, + uf_id_sigla, +) +import asyncio + + +API_URL_BASE = "https://servicodados.ibge.gov.br/api/v3/agregados/{}/periodos/{}/variaveis/{}?localidades={}[{}]&classificacao={}" +AGREGADO = "10061" +PERIODOS = 'all' +VARIAVEIS = "|".join(["2667", "1002667"]) +NIVEL_GEOGRAFICO = "N6" +LOCALIDADES = "all" +#NOTE: Seleciona todas as variáveis possíveis +CLASSIFICACAO = "1568[all]|58[all]|2[all]|86[all]" + + +BILLING_ID = "pisagab-staging" +nome_tabela = "nivel_instrucao_grupo_idade_sexo_raca_cor" + +if __name__ == "__main__": + + # municipios = bd.read_sql( + # """ + # SELECT id_municipio + # FROM `basedosdados.br_bd_diretorios_brasil.municipio` + # """, + # billing_project_id=BILLING_ID, + # ) + + # print('------ Baixando dados da API ------') + # asyncio.run( + # async_crawler_ibge_municipio( + # year=PERIODOS, + # variables=VARIAVEIS, + # api_url_base=API_URL_BASE, + # agregado=AGREGADO, + # nivel_geografico=NIVEL_GEOGRAFICO, + # localidades=municipios, + # classificacao=CLASSIFICACAO, + # nome_tabela=nome_tabela, + # ) + # ) + + print('------ Processando dados ------') + parse_files_save_parquet(nome_tabela, uf_id_sigla) + + + + + \ No newline at end of file diff --git a/models/br_ibge_censo_2022/code/utils.py b/models/br_ibge_censo_2022/code/utils.py index 220680d9..cd423550 100644 --- a/models/br_ibge_censo_2022/code/utils.py +++ b/models/br_ibge_censo_2022/code/utils.py @@ -7,6 +7,11 @@ from typing import Dict, Any, List import asyncio import pandas as pd +from unicodedata import normalize +import pyarrow as pa +import pyarrow.parquet as pq +from tqdm import tqdm + async def fetch(session: aiohttp.ClientSession, url: str) -> Dict[str, Any]: """ @@ -41,6 +46,7 @@ async def async_crawler_ibge_municipio( all_municipios = localidades['id_municipio'].tolist() + batch_size = 30 for i in range(0, len(all_municipios), batch_size): @@ -80,4 +86,122 @@ async def async_crawler_ibge_municipio( await asyncio.sleep(1) - \ No newline at end of file + +def parse_ibge_json(data:json) -> pd.DataFrame: + + rows = [] + + for variavel in data: + variavel_nome = variavel.get('variavel', '') + unidade = variavel.get('unidade', '') + variavel_id = variavel.get('id', '') + + for resultado in variavel.get('resultados', []): + row = { + 'variavel_id': variavel_id, + 'variavel_nome': variavel_nome, + 'unidade': unidade + } + + # Parse classificações + for classificacao in resultado.get('classificacoes', []): + class_nome = classificacao.get('nome', '') + categoria_dict = classificacao.get('categoria', {}) + categoria_id, categoria_nome = next(iter(categoria_dict.items())) + + # Add classification fields dynamically + row[f'{class_nome}_id'] = categoria_id + row[f'{class_nome}_categoria'] = categoria_nome + + # Parse series + for serie in resultado.get('series', []): + row['id_municipio'] = serie.get('localidade', {}).get('id', '') + row['nome_municipio'] = serie.get('localidade', {}).get('nome', '') + row['ano'] = next(iter(serie.get('serie', {}).keys())) + row['valor'] = next(iter(serie.get('serie', {}).values())) + + rows.append(row) + + # Convert to a DataFrame + df = pd.DataFrame(rows) + + df.columns = [normalize('NFKD', col).encode('ASCII', 'ignore').decode('ASCII') for col in df.columns] + + return df + + +def parse_files_save_parquet(nome_tabela: str, uf_id_sigla: dict) -> None: + """ + Função para processar os arquivos JSON e salvar em formato Parquet particionado por UF. + Esta função assume arquivos JSON extraídos do IBGE, onde cada arquivo contém dados de um município. + O nome de cada arquivo JSON deve ser o ID_MUNICIPIO de 7 dígitos do IBGE. + + Parâmetros: + nome_tabela (str): Nome da tabela a ser processada. + uf_id_sigla (dict): Dicionário com IDs e siglas dos estados. + """ + + files = os.listdir(f'../tmp/{nome_tabela}') + + for id_uf, sigla_uf in uf_id_sigla.items(): + print(f'Processando {sigla_uf}') + files_uf = [f for f in files if f.startswith(str(id_uf))] + + dfs = [] + + + for file in tqdm(files_uf, desc=f'Processando arquivos de {sigla_uf}'): + with open(f'../tmp/{nome_tabela}/{file}', 'r') as f: + data_json = json.load(f) + df = parse_ibge_json(data_json) + dfs.append(df) + + if dfs: + df_final = pd.concat(dfs, ignore_index=True) + + df_final = df_final.astype(str) + + schema = pa.schema([ + (col, pa.string()) for col in df_final.columns + ]) + + table = pa.Table.from_pandas(df_final, schema=schema, preserve_index=False) + del(df_final) + + path_dir = f'../tmp/output/{nome_tabela}/sigla_uf={sigla_uf}' + os.makedirs(path_dir, exist_ok=True) + + path_file = os.path.join(path_dir, f'{nome_tabela}.parquet') + + pq.write_table(table, path_file, compression='gzip') + + +uf_id_sigla = { + 11: 'RO', # Rondônia + 12: 'AC', # Acre + 13: 'AM', # Amazonas + 14: 'RR', # Roraima + 15: 'PA', # Pará + 16: 'AP', # Amapá + 17: 'TO', # Tocantins + 21: 'MA', # Maranhão + 22: 'PI', # Piauí + 23: 'CE', # Ceará + 24: 'RN', # Rio Grande do Norte + 25: 'PB', # Paraíba + 26: 'PE', # Pernambuco + 27: 'AL', # Alagoas + 28: 'SE', # Sergipe + 29: 'BA', # Bahia + 31: 'MG', # Minas Gerais + 32: 'ES', # Espírito Santo + 33: 'RJ', # Rio de Janeiro + 35: 'SP', # São Paulo + 41: 'PR', # Paraná + 42: 'SC', # Santa Catarina + 43: 'RS', # Rio Grande do Sul + 50: 'MS', # Mato Grosso do Sul + 51: 'MT', # Mato Grosso + 52: 'GO', # Goiás + 53: 'DF' # Distrito Federal +} From b30a1512c7d18a54ab9a11b6c4dbcf9f8ed80498 Mon Sep 17 00:00:00 2001 From: folhesgabriel Date: Mon, 28 Apr 2025 17:46:16 -0300 Subject: [PATCH 4/6] feat: add dbt models and schema --- ...ao_domicilio_grupo_idade_sexo_raca_cor.sql | 37 ++++++++++++ ...ao_instrucao_grupo_idade_sexo_raca_cor.sql | 35 +++++++++++ models/br_ibge_censo_2022/schema.yml | 59 +++++++++++++++++++ 3 files changed, 131 insertions(+) create mode 100644 models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_condicao_domicilio_grupo_idade_sexo_raca_cor.sql create mode 100644 models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_instrucao_grupo_idade_sexo_raca_cor.sql diff --git a/models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_condicao_domicilio_grupo_idade_sexo_raca_cor.sql b/models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_condicao_domicilio_grupo_idade_sexo_raca_cor.sql new file mode 100644 index 00000000..906af37c --- /dev/null +++ b/models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_condicao_domicilio_grupo_idade_sexo_raca_cor.sql @@ -0,0 +1,37 @@ +{{ + config( + alias="populacao_condicao_domicilio_grupo_idade_sexo_raca_cor", + schema="br_ibge_censo_2022", + ) +}} + + +with t1 as ( +select +ano, +id_municipio, +variavel_nome, +condicao_no_domicilio_categoria as condicao_domicilio, +grupos_de_idade_da_pessoa_responsavel_pelo_domicilio_categoria as grupo_idade_responsavel_domicilio, +sexo_da_pessoa_responsavel_pelo_domicilio_categoria as sexo_responsavel_domicilio, +cor_ou_raca_da_pessoa_responsavel_pelo_domicilio_categoria as cor_raca_responsavel_domicilio, +valor as pessoas, +from + `basedosdados-dev.br_ibge_censo_2022_staging.populacao_condicao_domicilio_grupo_idade_sexo_raca_cor` +where + (condicao_no_domicilio_categoria != 'Total' + and grupos_de_idade_da_pessoa_responsavel_pelo_domicilio_categoria != 'Total' + and sexo_da_pessoa_responsavel_pelo_domicilio_categoria != 'Total' + and cor_ou_raca_da_pessoa_responsavel_pelo_domicilio_categoria != 'Total') and variavel_nome = "Moradores em domicílios particulares" +) + +select +safe_cast(ano as int64) as ano, +safe_cast(id_municipio as string) as id_municipio, +safe_cast(condicao_domicilio as string) as condicao_domicilio, +safe_cast(grupo_idade_responsavel_domicilio as string) as grupo_idade_responsavel_domicilio, +safe_cast(sexo_responsavel_domicilio as string) as sexo_responsavel_domicilio, +safe_cast(cor_raca_responsavel_domicilio as string) as cor_raca_responsavel_domicilio, +safe_cast(pessoas as int64) as pessoas, +from t1 + diff --git a/models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_instrucao_grupo_idade_sexo_raca_cor.sql b/models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_instrucao_grupo_idade_sexo_raca_cor.sql new file mode 100644 index 00000000..b71fff87 --- /dev/null +++ b/models/br_ibge_censo_2022/br_ibge_censo_2022__populacao_instrucao_grupo_idade_sexo_raca_cor.sql @@ -0,0 +1,35 @@ +{{ + config( + alias="populacao_instrucao_grupo_idade_sexo_raca_cor", + schema="br_ibge_censo_2022", + ) +}} + +with t1 as ( +select +ano, +id_municipio, +variavel_nome, +nivel_de_instrucao_categoria as nivel_instrucao, +grupo_de_idade_categoria as grupo_idade, +sexo_categoria as sexo, +cor_ou_raca_categoria as cor_raca, +valor as pessoas, +from + `basedosdados-dev.br_ibge_censo_2022_staging.populacao_instrucao_grupo_idade_sexo_raca_cor` +where + (nivel_de_instrucao_categoria != 'Total' + and grupo_de_idade_categoria != 'Total' + and sexo_categoria != 'Total' + and cor_ou_raca_categoria != 'Total') and variavel_nome = "Pessoas de 18 anos ou mais de idade" +) + +select +safe_cast(ano as int64) as ano, +safe_cast(id_municipio as string) as id_municipio, +safe_cast(nivel_instrucao as string) as nivel_instrucao, +safe_cast(grupo_idade as string) as grupo_idade, +safe_cast(sexo as string) as sexo, +safe_cast(cor_raca as string) as cor_raca, +safe_cast(pessoas as int64) as pessoas, +from t1 diff --git a/models/br_ibge_censo_2022/schema.yml b/models/br_ibge_censo_2022/schema.yml index e7014f3b..5c3c789c 100644 --- a/models/br_ibge_censo_2022/schema.yml +++ b/models/br_ibge_censo_2022/schema.yml @@ -363,6 +363,36 @@ models: description: Moradores quilombolas - name: populacao_quilombola_territorio_quilombola description: Moradores quilombolas em territórios quilombolas + - name: br_ibge_censo_2022__populacao_condicao_domicilio_grupo_idade_sexo_raca_cor + description: Moradores em domicílios particulares , por condição + do domicílio, segundo grupos de idade e sexo + tests: + - dbt_utils.unique_combination_of_columns: + combination_of_columns: + - id_municipio + - nivel_instrucao + - grupo_idade + - sexo + - cor_raca + - pessoas + columns: + - name: ano + description: Ano + - name: id_municipio + description: ID Município IBGE 7 dígitos + tests: + - relationships: + to: ref('br_bd_diretorios_brasil__municipio') + field: id_municipio + - name: condicao_domicilio + description: Condição no domicílio + - name: grupo_idade_responsavel_domicilio + description: Grupo de Idade + - name: sexo_responsavel_domicilio + description: Sexo + - name: cor_raca_responsavel_domicilio + description: Cor ou raça + - name: pessoas - name: br_ibge_censo_2022__populacao_grupo_idade_sexo_quilombola description: População quilombola, por localização do domicílio, grupos de idade e sexo @@ -599,6 +629,35 @@ models: description: Idade agrupada em anos - name: populacao description: População residente + - name: br_ibge_censo_2022__populacao_instrucao_grupo_idade_sexo_raca_cor + description: Instrução da população por grupo de idade, sexo e raça ou cor. + tests: + - dbt_utils.unique_combination_of_columns: + combination_of_columns: + - id_municipio + - nivel_instrucao + - grupo_idade + - sexo + - cor_raca + - pessoas + columns: + - name: ano + description: Ano + - name: id_municipio + description: ID Município IBGE 7 dígitos + tests: + - relationships: + to: ref('br_bd_diretorios_brasil__municipio') + field: id_municipio + - name: nivel_instrucao + description: Nível de instrução + - name: grupo_idade + description: Grupo de Idade + - name: sexo + description: Sexo + - name: cor_raca + description: Cor ou raça + - name: pessoas - name: br_ibge_censo_2022__territorio_quilombola description: Domicílios particulares permanentes ocupados localizados em territórios quilombolas e Moradores, total e quilombolas, em domicílios particulares permanentes From 23338f2f97b5a176bc2a07b4deceb8855738e0e5 Mon Sep 17 00:00:00 2001 From: folhesgabriel Date: Mon, 28 Apr 2025 17:47:32 -0300 Subject: [PATCH 5/6] feat: udpate utils --- ...cao_domicilio_grupo_idade_sexo_raca_cor.py | 42 +++++------ ...vel_instrucao_grupo_idade_sexo_raca_cor.py | 42 +++++------ models/br_ibge_censo_2022/code/utils.py | 69 +++++++++++-------- 3 files changed, 81 insertions(+), 72 deletions(-) diff --git a/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py b/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py index 175ffd64..63815d1a 100644 --- a/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py +++ b/models/br_ibge_censo_2022/code/condicao_domicilio_grupo_idade_sexo_raca_cor.py @@ -17,32 +17,32 @@ CLASSIFICACAO = "11603[all]|11561[all]|12237[all]|11562[all]" -BILLING_ID = "pisagab-staging" +BILLING_ID = "basedosdados-dev" nome_tabela = "condicao_domicilio_grupo_idade_sexo_raca_cor" if __name__ == "__main__": - # municipios = bd.read_sql( - # """ - # SELECT id_municipio - # FROM `basedosdados.br_bd_diretorios_brasil.municipio` - # """, - # billing_project_id=BILLING_ID, - # ) + municipios = bd.read_sql( + """ + SELECT id_municipio + FROM `basedosdados.br_bd_diretorios_brasil.municipio` + """, + billing_project_id=BILLING_ID, + ) - # print('------ Baixando dados da API ------') - # asyncio.run( - # async_crawler_ibge_municipio( - # year=PERIODOS, - # variables=VARIAVEIS, - # api_url_base=API_URL_BASE, - # agregado=AGREGADO, - # nivel_geografico=NIVEL_GEOGRAFICO, - # localidades=municipios, - # classificacao=CLASSIFICACAO, - # nome_tabela=nome_tabela, - # ) - # ) + print('------ Baixando dados da API ------') + asyncio.run( + async_crawler_ibge_municipio( + year=PERIODOS, + variables=VARIAVEIS, + api_url_base=API_URL_BASE, + agregado=AGREGADO, + nivel_geografico=NIVEL_GEOGRAFICO, + localidades=municipios, + classificacao=CLASSIFICACAO, + nome_tabela=nome_tabela, + ) + ) print('------ Processando dados ------') parse_files_save_parquet(nome_tabela, uf_id_sigla) \ No newline at end of file diff --git a/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py b/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py index 503e6a32..52e698b2 100644 --- a/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py +++ b/models/br_ibge_censo_2022/code/nivel_instrucao_grupo_idade_sexo_raca_cor.py @@ -18,32 +18,32 @@ CLASSIFICACAO = "1568[all]|58[all]|2[all]|86[all]" -BILLING_ID = "pisagab-staging" +BILLING_ID = "basedosdados-dev" nome_tabela = "nivel_instrucao_grupo_idade_sexo_raca_cor" if __name__ == "__main__": - # municipios = bd.read_sql( - # """ - # SELECT id_municipio - # FROM `basedosdados.br_bd_diretorios_brasil.municipio` - # """, - # billing_project_id=BILLING_ID, - # ) + municipios = bd.read_sql( + """ + SELECT id_municipio + FROM `basedosdados.br_bd_diretorios_brasil.municipio` + """, + billing_project_id=BILLING_ID, + ) - # print('------ Baixando dados da API ------') - # asyncio.run( - # async_crawler_ibge_municipio( - # year=PERIODOS, - # variables=VARIAVEIS, - # api_url_base=API_URL_BASE, - # agregado=AGREGADO, - # nivel_geografico=NIVEL_GEOGRAFICO, - # localidades=municipios, - # classificacao=CLASSIFICACAO, - # nome_tabela=nome_tabela, - # ) - # ) + print('------ Baixando dados da API ------') + asyncio.run( + async_crawler_ibge_municipio( + year=PERIODOS, + variables=VARIAVEIS, + api_url_base=API_URL_BASE, + agregado=AGREGADO, + nivel_geografico=NIVEL_GEOGRAFICO, + localidades=municipios, + classificacao=CLASSIFICACAO, + nome_tabela=nome_tabela, + ) + ) print('------ Processando dados ------') parse_files_save_parquet(nome_tabela, uf_id_sigla) diff --git a/models/br_ibge_censo_2022/code/utils.py b/models/br_ibge_censo_2022/code/utils.py index cd423550..198e3e37 100644 --- a/models/br_ibge_censo_2022/code/utils.py +++ b/models/br_ibge_censo_2022/code/utils.py @@ -125,56 +125,65 @@ def parse_ibge_json(data:json) -> pd.DataFrame: # Convert to a DataFrame df = pd.DataFrame(rows) - df.columns = [normalize('NFKD', col).encode('ASCII', 'ignore').decode('ASCII') for col in df.columns] + import unicodedata + + df.columns = [ + unicodedata.normalize('NFKD', col).encode('ASCII', 'ignore').decode('ASCII').lower().strip() + for col in df.columns + ] + return df + + def parse_files_save_parquet(nome_tabela: str, uf_id_sigla: dict) -> None: - """ - Função para processar os arquivos JSON e salvar em formato Parquet particionado por UF. + """ + Função para processar os arquivos JSON e salvar em formato Parquet particionado por UF. Esta função assume arquivos JSON extraídos do IBGE, onde cada arquivo contém dados de um município. O nome de cada arquivo JSON deve ser o ID_MUNICIPIO de 7 dígitos do IBGE. Parâmetros: nome_tabela (str): Nome da tabela a ser processada. uf_id_sigla (dict): Dicionário com IDs e siglas dos estados. - """ + """ + files = os.listdir(f'../tmp/{nome_tabela}') - files = os.listdir(f'../tmp/{nome_tabela}') + for id_uf, sigla_uf in uf_id_sigla.items(): + print(f'Processando {sigla_uf}') + files_uf = [f for f in files if f.startswith(str(id_uf))] + + path_dir = f'../tmp/output/{nome_tabela}/sigla_uf={sigla_uf}' + os.makedirs(path_dir, exist_ok=True) + path_file = os.path.join(path_dir, f'{nome_tabela}.parquet') + + writer = None # vai ser usado para escrever múltiplos chunks - for id_uf, sigla_uf in uf_id_sigla.items(): - print(f'Processando {sigla_uf}') - files_uf = [f for f in files if f.startswith(str(id_uf))] - - dfs = [] + for file in tqdm(files_uf, desc=f'Processando arquivos de {sigla_uf}'): + with open(f'../tmp/{nome_tabela}/{file}', 'r') as f: + data_json = json.load(f) + df = parse_ibge_json(data_json) - - for file in tqdm(files_uf, desc=f'Processando arquivos de {sigla_uf}'): - with open(f'../tmp/{nome_tabela}/{file}', 'r') as f: - data_json = json.load(f) - df = parse_ibge_json(data_json) - dfs.append(df) - - if dfs: - df_final = pd.concat(dfs, ignore_index=True) + if not df.empty: + df = df.astype(str) + table = pa.Table.from_pandas(df, preserve_index=False) - df_final = df_final.astype(str) - schema = pa.schema([ - (col, pa.string()) for col in df_final.columns + (col, pa.string()) for col in df.columns ]) - table = pa.Table.from_pandas(df_final, schema=schema, preserve_index=False) - del(df_final) + if writer is None: + # Define o schema na primeira vez + writer = pq.ParquetWriter(path_file, schema) - path_dir = f'../tmp/output/{nome_tabela}/sigla_uf={sigla_uf}' - os.makedirs(path_dir, exist_ok=True) - - path_file = os.path.join(path_dir, f'{nome_tabela}.parquet') - - pq.write_table(table, path_file, compression='gzip') + writer.write_table(table) + del df + if writer: + writer.close() + + uf_id_sigla = { 11: 'RO', # Rondônia From 16321870ca7fbf736196236676c479de256da706 Mon Sep 17 00:00:00 2001 From: folhesgabriel Date: Mon, 28 Apr 2025 17:48:20 -0300 Subject: [PATCH 6/6] fix profiles yml --- profiles.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/profiles.yml b/profiles.yml index 5b7d75b0..ceca3f1c 100644 --- a/profiles.yml +++ b/profiles.yml @@ -9,7 +9,7 @@ default: dataset: dbt location: US threads: 2 - keyfile: /home/gabri/.dbt/prod.json + keyfile: /home/basedosdados-dev/.dbt/prod.json prod: type: bigquery method: service-account @@ -17,7 +17,7 @@ default: dataset: dbt location: US threads: 2 - keyfile: /home/gabri/.dbt/prod.json + keyfile: /home/basedosdados-dev/.dbt/prod.json elementary: outputs: default: