Inconsistências na base de dados #180

danielfsbarreto · 2020-06-28T01:40:23Z

Estava ocorrendo um problema recorrente com a execução da action do goodtables do projeto, que foi resolvido em #178. Agora é preciso resolver todas as inconsistências que se acumularam no decorrer desse tempo.

Job: https://github.com/turicas/covid19-br/runs/814979053?check_suite_focus=true#step:3:911

2020-06-28T01:10:34.8665625Z DATASET
2020-06-28T01:10:34.8667294Z =======
2020-06-28T01:10:34.8668860Z {'error-count': 35,
2020-06-28T01:10:34.8670649Z  'preset': 'nested',
2020-06-28T01:10:34.8671296Z  'table-count': 10,
2020-06-28T01:10:34.8671754Z  'time': 54.346,
2020-06-28T01:10:34.8672417Z  'valid': False}
2020-06-28T01:10:34.8672565Z 
2020-06-28T01:10:34.8672771Z TABLE [1]
2020-06-28T01:10:34.8672978Z =========
2020-06-28T01:10:34.8673469Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8673924Z  'encoding': 'no',
2020-06-28T01:10:34.8674388Z  'error-count': 3,
2020-06-28T01:10:34.8674832Z  'format': 'inline',
2020-06-28T01:10:34.8675342Z  'headers': ['date', 'notes', 'state', 'url'],
2020-06-28T01:10:34.8675807Z  'resource-name': 'boletim',
2020-06-28T01:10:34.8676259Z  'row-count': 3310,
2020-06-28T01:10:34.8676716Z  'schema': 'table-schema',
2020-06-28T01:10:34.8677166Z  'scheme': 'inline',
2020-06-28T01:10:34.8677658Z  'source': '/app/data/output/boletim.csv',
2020-06-28T01:10:34.8678134Z  'time': 2.043,
2020-06-28T01:10:34.8678569Z  'valid': False}
2020-06-28T01:10:34.8678974Z ---------
2020-06-28T01:10:34.8679588Z [-,2] [non-matching-header] Header in column 2 doesn't match field name "state" in the schema
2020-06-28T01:10:34.8680249Z [-,3] [non-matching-header] Header in column 3 doesn't match field name "url" in the schema
2020-06-28T01:10:34.8680894Z [-,4] [non-matching-header] Header in column 4 doesn't match field name "notes" in the schema
2020-06-28T01:10:34.8681058Z 
2020-06-28T01:10:34.8681247Z TABLE [2]
2020-06-28T01:10:34.8681715Z =========
2020-06-28T01:10:34.8682221Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8684061Z  'encoding': 'no',
2020-06-28T01:10:34.8684569Z  'error-count': 0,
2020-06-28T01:10:34.8685012Z  'format': 'inline',
2020-06-28T01:10:34.8685457Z  'headers': ['date',
2020-06-28T01:10:34.8685887Z              'state',
2020-06-28T01:10:34.8686329Z              'city',
2020-06-28T01:10:34.8686785Z              'place_type',
2020-06-28T01:10:34.8687478Z              'confirmed',
2020-06-28T01:10:34.8687928Z              'deaths',
2020-06-28T01:10:34.8688404Z              'order_for_place',
2020-06-28T01:10:34.8688861Z              'is_last',
2020-06-28T01:10:34.8689345Z              'estimated_population_2019',
2020-06-28T01:10:34.8689826Z              'city_ibge_code',
2020-06-28T01:10:34.8690342Z              'confirmed_per_100k_inhabitants',
2020-06-28T01:10:34.8690812Z              'death_rate'],
2020-06-28T01:10:34.8691271Z  'resource-name': 'caso',
2020-06-28T01:10:34.8691732Z  'row-count': 263945,
2020-06-28T01:10:34.8692198Z  'schema': 'table-schema',
2020-06-28T01:10:34.8692627Z  'scheme': 'inline',
2020-06-28T01:10:34.8693119Z  'source': '/app/data/output/caso.csv',
2020-06-28T01:10:34.8693577Z  'time': 54.154,
2020-06-28T01:10:34.8694012Z  'valid': True}
2020-06-28T01:10:34.8694133Z 
2020-06-28T01:10:34.8694335Z TABLE [3]
2020-06-28T01:10:34.8694537Z =========
2020-06-28T01:10:34.8695006Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8695470Z  'encoding': 'no',
2020-06-28T01:10:34.8695908Z  'error-count': 0,
2020-06-28T01:10:34.8696350Z  'format': 'inline',
2020-06-28T01:10:34.8696779Z  'headers': ['state',
2020-06-28T01:10:34.8697247Z              'state_ibge_code',
2020-06-28T01:10:34.8697721Z              'city_ibge_code',
2020-06-28T01:10:34.8698169Z              'city',
2020-06-28T01:10:34.8698647Z              'estimated_population'],
2020-06-28T01:10:34.8699143Z  'resource-name': 'populacao-estimada',
2020-06-28T01:10:34.8699600Z  'row-count': 5571,
2020-06-28T01:10:34.8700050Z  'schema': 'table-schema',
2020-06-28T01:10:34.8700496Z  'scheme': 'inline',
2020-06-28T01:10:34.8701313Z  'source': '/app/data/populacao-estimada-2019.csv',
2020-06-28T01:10:34.8701799Z  'time': 0.907,
2020-06-28T01:10:34.8702229Z  'valid': True}
2020-06-28T01:10:34.8702344Z 
2020-06-28T01:10:34.8702547Z TABLE [4]
2020-06-28T01:10:34.8702750Z =========
2020-06-28T01:10:34.8703220Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8703681Z  'encoding': 'no',
2020-06-28T01:10:34.8704125Z  'error-count': 0,
2020-06-28T01:10:34.8704550Z  'format': 'inline',
2020-06-28T01:10:34.8705041Z  'headers': ['field_name', 'field_type'],
2020-06-28T01:10:34.8705528Z  'resource-name': 'schema-boletim',
2020-06-28T01:10:34.8706201Z  'row-count': 5,
2020-06-28T01:10:34.8706674Z  'schema': 'table-schema',
2020-06-28T01:10:34.8707120Z  'scheme': 'inline',
2020-06-28T01:10:34.8707606Z  'source': '/app/schema/boletim.csv',
2020-06-28T01:10:34.8708043Z  'time': 0.013,
2020-06-28T01:10:34.8708479Z  'valid': True}
2020-06-28T01:10:34.8708618Z 
2020-06-28T01:10:34.8708820Z TABLE [5]
2020-06-28T01:10:34.8709008Z =========
2020-06-28T01:10:34.8709479Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8709927Z  'encoding': 'no',
2020-06-28T01:10:34.8710364Z  'error-count': 0,
2020-06-28T01:10:34.8710806Z  'format': 'inline',
2020-06-28T01:10:34.8711296Z  'headers': ['field_name', 'field_type'],
2020-06-28T01:10:34.8711836Z  'resource-name': 'schema-caso',
2020-06-28T01:10:34.8712292Z  'row-count': 13,
2020-06-28T01:10:34.8712747Z  'schema': 'table-schema',
2020-06-28T01:10:34.8713192Z  'scheme': 'inline',
2020-06-28T01:10:34.8713667Z  'source': '/app/schema/caso.csv',
2020-06-28T01:10:34.8714116Z  'time': 0.091,
2020-06-28T01:10:34.8714551Z  'valid': True}
2020-06-28T01:10:34.8714663Z 
2020-06-28T01:10:34.8714862Z TABLE [6]
2020-06-28T01:10:34.8715063Z =========
2020-06-28T01:10:34.8715465Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8715672Z  'encoding': 'no',
2020-06-28T01:10:34.8715863Z  'error-count': 0,
2020-06-28T01:10:34.8716162Z  'format': 'inline',
2020-06-28T01:10:34.8716405Z  'headers': ['field_name', 'field_type'],
2020-06-28T01:10:34.8716645Z  'resource-name': 'schema-populacao-estimada',
2020-06-28T01:10:34.8716856Z  'row-count': 6,
2020-06-28T01:10:34.8717069Z  'schema': 'table-schema',
2020-06-28T01:10:34.8717278Z  'scheme': 'inline',
2020-06-28T01:10:34.8717510Z  'source': '/app/schema/populacao-estimada-2019.csv',
2020-06-28T01:10:34.8717796Z  'time': 0.075,
2020-06-28T01:10:34.8718000Z  'valid': True}
2020-06-28T01:10:34.8718064Z 
2020-06-28T01:10:34.8718145Z TABLE [7]
2020-06-28T01:10:34.8718242Z =========
2020-06-28T01:10:34.8718461Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8718671Z  'encoding': 'no',
2020-06-28T01:10:34.8718875Z  'error-count': 0,
2020-06-28T01:10:34.8719080Z  'format': 'inline',
2020-06-28T01:10:34.8719436Z  'headers': ['field_name', 'field_type'],
2020-06-28T01:10:34.8719633Z  'resource-name': 'schema-epidemiological-week',
2020-06-28T01:10:34.8719815Z  'row-count': 4,
2020-06-28T01:10:34.8720001Z  'schema': 'table-schema',
2020-06-28T01:10:34.8720184Z  'scheme': 'inline',
2020-06-28T01:10:34.8720388Z  'source': '/app/schema/epidemiological-week.csv',
2020-06-28T01:10:34.8720572Z  'time': 0.138,
2020-06-28T01:10:34.8720745Z  'valid': True}
2020-06-28T01:10:34.8720790Z 
2020-06-28T01:10:34.8720872Z TABLE [8]
2020-06-28T01:10:34.8720959Z =========
2020-06-28T01:10:34.8721148Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8721319Z  'encoding': 'no',
2020-06-28T01:10:34.8721497Z  'error-count': 0,
2020-06-28T01:10:34.8721676Z  'format': 'inline',
2020-06-28T01:10:34.8721872Z  'headers': ['field_name', 'field_type'],
2020-06-28T01:10:34.8722073Z  'resource-name': 'schema-obito_cartorio',
2020-06-28T01:10:34.8722254Z  'row-count': 35,
2020-06-28T01:10:34.8722624Z  'schema': 'table-schema',
2020-06-28T01:10:34.8722819Z  'scheme': 'inline',
2020-06-28T01:10:34.8723051Z  'source': '/app/schema/obito_cartorio.csv',
2020-06-28T01:10:34.8723261Z  'time': 0.03,
2020-06-28T01:10:34.8723468Z  'valid': True}
2020-06-28T01:10:34.8723520Z 
2020-06-28T01:10:34.8723615Z TABLE [9]
2020-06-28T01:10:34.8723712Z =========
2020-06-28T01:10:34.8723931Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8724136Z  'encoding': 'no',
2020-06-28T01:10:34.8724340Z  'error-count': 0,
2020-06-28T01:10:34.8724544Z  'format': 'inline',
2020-06-28T01:10:34.8724797Z  'headers': ['date', 'epidemiological_year', 'epidemiological_week'],
2020-06-28T01:10:34.8725048Z  'resource-name': 'epidemiological-week',
2020-06-28T01:10:34.8725261Z  'row-count': 3289,
2020-06-28T01:10:34.8725475Z  'schema': 'table-schema',
2020-06-28T01:10:34.8725681Z  'scheme': 'inline',
2020-06-28T01:10:34.8725918Z  'source': '/app/data/epidemiological-week.csv',
2020-06-28T01:10:34.8726129Z  'time': 2.168,
2020-06-28T01:10:34.8726318Z  'valid': True}
2020-06-28T01:10:34.8726385Z 
2020-06-28T01:10:34.8726482Z TABLE [10]
2020-06-28T01:10:34.8726582Z =========
2020-06-28T01:10:34.8726787Z {'datapackage': 'datapackage.json',
2020-06-28T01:10:34.8727572Z  'encoding': 'no',
2020-06-28T01:10:34.8727833Z  'error-count': 32,
2020-06-28T01:10:34.8728359Z  'format': 'inline',
2020-06-28T01:10:34.8728625Z  'headers': ['date',
2020-06-28T01:10:34.8728880Z              'state',
2020-06-28T01:10:34.8729220Z              'epidemiological_week_2019',
2020-06-28T01:10:34.8729509Z              'epidemiological_week_2020',
2020-06-28T01:10:34.8729789Z              'new_deaths_sars_2019',
2020-06-28T01:10:34.8730065Z              'new_deaths_pneumonia_2019',
2020-06-28T01:10:34.8730363Z              'new_deaths_respiratory_failure_2019',
2020-06-28T01:10:34.8730657Z              'new_deaths_septicemia_2019',
2020-06-28T01:10:34.8730947Z              'new_deaths_indeterminate_2019',
2020-06-28T01:10:34.8731229Z              'new_deaths_others_2019',
2020-06-28T01:10:34.8731511Z              'new_deaths_sars_2020',
2020-06-28T01:10:34.8731796Z              'new_deaths_pneumonia_2020',
2020-06-28T01:10:34.8732205Z              'new_deaths_respiratory_failure_2020',
2020-06-28T01:10:34.8732492Z              'new_deaths_septicemia_2020',
2020-06-28T01:10:34.8732782Z              'new_deaths_indeterminate_2020',
2020-06-28T01:10:34.8733062Z              'new_deaths_others_2020',
2020-06-28T01:10:34.8733340Z              'new_deaths_covid19',
2020-06-28T01:10:34.8733613Z              'deaths_sars_2019',
2020-06-28T01:10:34.8733892Z              'deaths_pneumonia_2019',
2020-06-28T01:10:34.8734260Z              'deaths_respiratory_failure_2019',
2020-06-28T01:10:34.8734530Z              'deaths_septicemia_2019',
2020-06-28T01:10:34.8734814Z              'deaths_indeterminate_2019',
2020-06-28T01:10:34.8735091Z              'deaths_others_2019',
2020-06-28T01:10:34.8735363Z              'deaths_sars_2020',
2020-06-28T01:10:34.8735641Z              'deaths_pneumonia_2020',
2020-06-28T01:10:34.8735932Z              'deaths_respiratory_failure_2020',
2020-06-28T01:10:34.8736216Z              'deaths_septicemia_2020',
2020-06-28T01:10:34.8736505Z              'deaths_indeterminate_2020',
2020-06-28T01:10:34.8736767Z              'deaths_others_2020',
2020-06-28T01:10:34.8737038Z              'deaths_covid19',
2020-06-28T01:10:34.8737315Z              'new_deaths_total_2019',
2020-06-28T01:10:34.8737595Z              'new_deaths_total_2020',
2020-06-28T01:10:34.8737866Z              'deaths_total_2019',
2020-06-28T01:10:34.8738138Z              'deaths_total_2020'],
2020-06-28T01:10:34.8738418Z  'resource-name': 'obito_cartorio',
2020-06-28T01:10:34.8738667Z  'row-count': 9882,
2020-06-28T01:10:34.8739041Z  'schema': 'table-schema',
2020-06-28T01:10:34.8739279Z  'scheme': 'inline',
2020-06-28T01:10:34.8739647Z  'source': '/app/data/output/obito_cartorio.csv',
2020-06-28T01:10:34.8739856Z  'time': 4.42,
2020-06-28T01:10:34.8740058Z  'valid': False}
2020-06-28T01:10:34.8740251Z ---------
2020-06-28T01:10:34.8740547Z [-,3] [non-matching-header] Header in column 3 doesn't match field name "new_deaths_pneumonia_2019" in the schema
2020-06-28T01:10:34.8740884Z [-,4] [non-matching-header] Header in column 4 doesn't match field name "new_deaths_pneumonia_2020" in the schema
2020-06-28T01:10:34.8741371Z [-,5] [non-matching-header] Header in column 5 doesn't match field name "new_deaths_respiratory_failure_2019" in the schema
2020-06-28T01:10:34.8741714Z [-,6] [non-matching-header] Header in column 6 doesn't match field name "new_deaths_respiratory_failure_2020" in the schema
2020-06-28T01:10:34.8742042Z [-,7] [non-matching-header] Header in column 7 doesn't match field name "new_deaths_covid19" in the schema
2020-06-28T01:10:34.8742369Z [-,8] [non-matching-header] Header in column 8 doesn't match field name "epidemiological_week_2019" in the schema
2020-06-28T01:10:34.8742691Z [-,9] [non-matching-header] Header in column 9 doesn't match field name "epidemiological_week_2020" in the schema
2020-06-28T01:10:34.8743001Z [-,10] [non-matching-header] Header in column 10 doesn't match field name "deaths_covid19" in the schema
2020-06-28T01:10:34.8743341Z [-,11] [non-matching-header] Header in column 11 doesn't match field name "deaths_respiratory_failure_2019" in the schema
2020-06-28T01:10:34.8743680Z [-,12] [non-matching-header] Header in column 12 doesn't match field name "deaths_respiratory_failure_2020" in the schema
2020-06-28T01:10:34.8744004Z [-,13] [non-matching-header] Header in column 13 doesn't match field name "deaths_pneumonia_2019" in the schema
2020-06-28T01:10:34.8744321Z [-,14] [non-matching-header] Header in column 14 doesn't match field name "deaths_pneumonia_2020" in the schema
2020-06-28T01:10:34.8744592Z [-,15] [extra-header] There is an extra header in column 15
2020-06-28T01:10:34.8744836Z [-,16] [extra-header] There is an extra header in column 16
2020-06-28T01:10:34.8745094Z [-,17] [extra-header] There is an extra header in column 17
2020-06-28T01:10:34.8745349Z [-,18] [extra-header] There is an extra header in column 18
2020-06-28T01:10:34.8745603Z [-,19] [extra-header] There is an extra header in column 19
2020-06-28T01:10:34.8745926Z [-,20] [extra-header] There is an extra header in column 20
2020-06-28T01:10:34.8746190Z [-,21] [extra-header] There is an extra header in column 21
2020-06-28T01:10:34.8746566Z [-,22] [extra-header] There is an extra header in column 22
2020-06-28T01:10:34.8746786Z [-,23] [extra-header] There is an extra header in column 23
2020-06-28T01:10:34.8747006Z [-,24] [extra-header] There is an extra header in column 24
2020-06-28T01:10:34.8747212Z [-,25] [extra-header] There is an extra header in column 25
2020-06-28T01:10:34.8747487Z [-,26] [extra-header] There is an extra header in column 26
2020-06-28T01:10:34.8747705Z [-,27] [extra-header] There is an extra header in column 27
2020-06-28T01:10:34.8747923Z [-,28] [extra-header] There is an extra header in column 28
2020-06-28T01:10:34.8748139Z [-,29] [extra-header] There is an extra header in column 29
2020-06-28T01:10:34.8748356Z [-,30] [extra-header] There is an extra header in column 30
2020-06-28T01:10:34.8748573Z [-,31] [extra-header] There is an extra header in column 31
2020-06-28T01:10:34.8748796Z [-,32] [extra-header] There is an extra header in column 32
2020-06-28T01:10:34.8749004Z [-,33] [extra-header] There is an extra header in column 33
2020-06-28T01:10:34.8749221Z [-,34] [extra-header] There is an extra header in column 34

The text was updated successfully, but these errors were encountered:

endersonmaia · 2020-06-28T12:51:43Z

Os erros são nas tabelas :

boletim
obito_cartorio

Os schemas que são usados no projeto são mantidos aqui o que acaba criando uma duplicidade, sempre que houver manutenção aí tem que atualizar o datapackage.json

/cc @augusto-herrmann

augusto-herrmann · 2020-06-29T13:48:28Z

Pois é, o ideal seria esses esquemas serem gerados a partir do datapackage.json, e não o contrário.

endersonmaia · 2020-06-29T13:58:15Z

Pois é, o ideal seria esses esquemas serem gerados a partir do datapackage.json, e não o contrário.

cabe uma issue ou PR aí, identificar onde no código tem referência aos schemas/*.csv, e o datapackage já tá nas dependências do projeto, certamente daria para automatiza isso

endersonmaia · 2020-06-30T23:18:42Z

Pois é, o ideal seria esses esquemas serem gerados a partir do datapackage.json, e não o contrário.

turicas/brasil.io#204

augusto-herrmann · 2020-07-02T16:49:39Z

Essa issue aí ainda é outro caminho, diferente do que estamos sugerindo aqui.

Aqui:

datapackage.json -> esquemas em formato csv customizado na pasta schema/*.csv
datapackage.json -> documentação da API

Lá:

esquemas no banco de dados -> documentação da API

A questão toda passa pelo processo de desenvolvimento. Hoje, quem desenvolve é o @turicas, e parece que ele prefere começar a definir o esquema pelo banco. Enquanto continuar assim, o banco de dados é que teria que ser então o ponto de partida.

endersonmaia · 2020-07-02T16:54:03Z

certo, então seria desenvolver um script que geraria o `datapackage.json` baseado nestes meta-dados, certo ?

turicas · 2020-07-02T18:30:40Z

Se o datapackage.json atender à demanda que temos hoje (já explico abaixo), então acho que o ideal seria termos apenas o datapackage.json no repositório, assim o Brasil.IO poderia consumir desse arquivo e os arquivos schema/*.csv poderiam ser gerados automaticamente a partir do datapackage.json (ou, quando a rows suportar pgimport e csv2sqlite com data package, eles poderiam ser deletados).

As demandas atualmente são:

Especificação dos nomes e tipos das colunas (como já existe no schema/*.csv)
Metadados gerais, como: nome da coluna (slug), título da coluna (com acentos, espaços etc.), descrição da coluna
Metadados específicos para o Brasil.IO, como: quais colunas aparecerão como filtro na interface, quais colunas serão exibidas no frontend, quais colunas serão usadas para compor o índice de busca por texto completo etc. (esses eu escolho manualmente quando vou adicionar um dataset na plataforma)

Eu não conheço muito da especificação do datapackage, mas se tiver como embutirmos metadados personalizados (esses do Brasil.IO), então podemos começar um processo de migração (ficará bem melhor se for uniformizado assim :).

turicas · 2020-07-02T18:33:06Z

@augusto-herrmann você, que conhece mais a especificação do data package, acha que atende a essas necessidades acima? Se sim, vamos criar uma issue no repositório do Brasil.IO para tratar disso?

Sobre a geração de documentação da API: como os metadados precisam ficar armazenados na base do Brasil.IO (e não serão exatamente iguais a esse datapackage.json que propus, pois nem sempre o dataset estará super atualizado com relação ao repositório), então faz sentido a geração da documentação da API ser feita automaticamente a partir do banco de dados do Brasil.IO e não do (futuro) datapackage.json.

endersonmaia · 2020-07-02T18:59:17Z

acho que deveríamos estar discutindo isso lá na issue turicas/brasil.io#204

turicas · 2020-07-02T22:40:13Z

acho que deveríamos estar discutindo isso lá na issue turicas/brasil.io#204

Concordo. Colei esses meus comentários lá.

augusto-herrmann · 2020-07-27T18:48:08Z

Os testes estão dando erro novamente. Reabrir esta issue ou criar uma nova?

endersonmaia · 2020-07-27T20:54:43Z

Os testes estão dando erro novamente. Reabrir esta issue ou criar uma nova?

cria uma nova

deve ter adicionado campos ou mudado a ordem

augusto-herrmann · 2020-07-28T12:35:31Z

Criada #193.

endersonmaia added the automation label Jun 28, 2020

endersonmaia mentioned this issue Jun 28, 2020

Corrige verificação do goodtables #181

Merged

endersonmaia closed this as completed in #181 Jun 29, 2020

turicas added the cartórios label Jul 22, 2020

fabriciodosanjossilva mentioned this issue Aug 12, 2020

Dados incorretos de causas de óbitos (cartórios) para MG #195

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Inconsistências na base de dados #180

Inconsistências na base de dados #180

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Inconsistências na base de dados #180

Inconsistências na base de dados #180

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