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freezegun = "^1.5.1" +testcontainers = "^4.5.1" [tool.ruff] line-length = 79 diff --git a/codigo_das_aulas/10/tests/conftest.py b/codigo_das_aulas/10/tests/conftest.py index d063b7f5..1e4c4605 100644 --- a/codigo_das_aulas/10/tests/conftest.py +++ b/codigo_das_aulas/10/tests/conftest.py @@ -2,15 +2,25 @@ from fastapi.testclient import TestClient from sqlalchemy import create_engine from sqlalchemy.orm import Session +from testcontainers.postgres import PostgresContainer from fast_zero.app import app from fast_zero.database import get_session from fast_zero.models import table_registry from fast_zero.security import get_password_hash -from fast_zero.settings import Settings from tests.factories import UserFactory +@pytest.fixture(scope='session') +def engine(): + with PostgresContainer("postgres:16", driver='psycopg') as p: + + _engine = create_engine(p.get_connection_url()) + + with _engine.begin(): + yield _engine + + @pytest.fixture() def client(session): def get_session_override(): 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freezegun = "^1.5.1" +testcontainers = "^4.5.1" [tool.ruff] line-length = 79 diff --git a/codigo_das_aulas/11/tests/conftest.py b/codigo_das_aulas/11/tests/conftest.py index d063b7f5..1e4c4605 100644 --- a/codigo_das_aulas/11/tests/conftest.py +++ b/codigo_das_aulas/11/tests/conftest.py @@ -2,15 +2,25 @@ from fastapi.testclient import TestClient from sqlalchemy import create_engine from sqlalchemy.orm import Session +from testcontainers.postgres import PostgresContainer from fast_zero.app import app from fast_zero.database import get_session from fast_zero.models import table_registry from fast_zero.security import get_password_hash -from fast_zero.settings import Settings from tests.factories import UserFactory +@pytest.fixture(scope='session') +def engine(): + with PostgresContainer("postgres:16", driver='psycopg') as p: + + _engine = create_engine(p.get_connection_url()) + + with _engine.begin(): + yield _engine + + @pytest.fixture() def client(session): def get_session_override(): 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freezegun = "^1.5.1" +testcontainers = "^4.5.1" [tool.ruff] line-length = 79 diff --git a/codigo_das_aulas/12/tests/conftest.py b/codigo_das_aulas/12/tests/conftest.py index d063b7f5..1e4c4605 100644 --- a/codigo_das_aulas/12/tests/conftest.py +++ b/codigo_das_aulas/12/tests/conftest.py @@ -2,15 +2,25 @@ from fastapi.testclient import TestClient from sqlalchemy import create_engine from sqlalchemy.orm import Session +from testcontainers.postgres import PostgresContainer from fast_zero.app import app from fast_zero.database import get_session from fast_zero.models import table_registry from fast_zero.security import get_password_hash -from fast_zero.settings import Settings from tests.factories import UserFactory +@pytest.fixture(scope='session') +def engine(): + with PostgresContainer("postgres:16", driver='psycopg') as p: + + _engine = create_engine(p.get_connection_url()) + + with _engine.begin(): + yield _engine + + @pytest.fixture() def client(session): def get_session_override(): @@ -24,8 +34,7 @@ def get_session_override(): @pytest.fixture() -def session(): - engine = create_engine(Settings().DATABASE_URL) +def session(engine): table_registry.metadata.create_all(engine) with Session(engine) as session: From eee5461c3df796f5c97d3786a5210efd0a9b3c4e Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 16:55:04 -0300 Subject: [PATCH 02/20] =?UTF-8?q?[WIP]=20Removendo=20t=C3=B3pico=20sobre?= =?UTF-8?q?=20servi=C3=A7os=20no=20CI=20da=20aula=2011?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/11.md | 90 ------------------ .../11/print_ci_rodando_com_sucesso.png | Bin 79241 -> 0 bytes 2 files changed, 90 deletions(-) delete mode 100644 aulas/assets/11/print_ci_rodando_com_sucesso.png diff --git a/aulas/11.md b/aulas/11.md index 4f747826..39d55456 100644 --- a/aulas/11.md +++ b/aulas/11.md @@ -314,98 +314,8 @@ connection to server at "localhost" (127.0.0.1), port 5432 failed: Connection re ``` A mensagem `Is the server running on that host and accepting TCP/IP connections?` traduzida de forma literal quer dizer "O servidor rodando está aceitando conexões TCP/IP?". Isso quer dizer que houve uma tentativa de comunicação com `localhost:5432`, porém, não conseguiu obter uma resposta. Para corrigir esse comportamento teremos que partir para a configuração do postgres no workflow. - -## Adicionando serviços ao Github Actions - -Um 'serviço' no contexto do GitHub Actions é tipicamente um contêiner Docker que é iniciado com o nosso workflow. Esses serviços podem incluir bancos de dados, caches, ou qualquer outra dependência externa que nosso aplicativo possa precisar durante a execução do CI. - -Na [aula passada (10)](10.md/#introduzindo-o-postgresql){:target="_blank"}, realizamos uma importante atualização nos nossos testes: a transição para o uso do PostgreSQL. Para que nossos testes no ambiente de CI reflitam esta mudança, precisamos incluir o PostgreSQL como um serviço no nosso workflow do GitHub Actions. - -#### Adicionando suporte ao PostgreSQL - -Para adicionar o serviço PostgreSQL ao CI, temos que criar uma seção chamada `services` em nosso arquivo `.github/workflows/pipeline.yaml`. Aqui, utilizamos a imagem Docker oficial do PostgreSQL e a configuramos como uma dependência essencial do nosso CI. A configuração define as variáveis de ambiente necessárias para o banco de dados e expõe a porta padrão do PostgreSQL: - -```py title=".github/workflows/pipeline.yaml" linenums="8" hl_lines="7-15" - env: - DATABASE_URL: ${{ secrets.DATABASE_URL }} - SECRET_KEY: ${{ secrets.SECRET_KEY }} - ALGORITHM: ${{ secrets.ALGORITHM }} - ACCESS_TOKEN_EXPIRE_MINUTES: ${{ secrets.ACCESS_TOKEN_EXPIRE_MINUTES }} - - services: - postgres: - image: postgres - env: - POSTGRES_DB: app_db - POSTGRES_PASSWORD: app_password - POSTGRES_USER: app_user - ports: - - 5432:5432 -``` - -Dessa forma, no momento em que o CI for executado, ele iniciará um serviço postgres que pode ser usado durante o período de execução dos nossos testes. Como eles já estão configurados para isso e já temos as variáveis de ambiente apontando para o caminho do postgres, em nosso próximo commit já podemos ver os testes em ação: - -```shell title="$ Execução no terminal!" -git add . -git commit -m "Adicionando o serviço do postgres no CI" -git push -``` - -![descrição](assets/11/print_ci_rodando_com_sucesso.png){: .center .shadow } - -Este sucesso indica que nosso pipeline agora está corretamente configurado com o PostgreSQL, preparando o terreno para que cada push ou pull request no nosso repositório seja validado em um ambiente que espelha de perto nossa configuração de produção. - -??? tip "Caso queira ver o arquivo completo" - - Como o arquivo foi apresentado em pedaços até esse momento, é sempre importante ter uma visualização do arquivo completo para podermos validar se escrevemos tudo corretamente: - - ```yaml title=".github/workflows/pipeline.yaml" linenums="1" - name: Pipeline - on: [push, pull_request] - - jobs: - test: - runs-on: ubuntu-latest - - env: - DATABASE_URL: ${{ secrets.DATABASE_URL }} - SECRET_KEY: ${{ secrets.SECRET_KEY }} - ALGORITHM: ${{ secrets.ALGORITHM }} - ACCESS_TOKEN_EXPIRE_MINUTES: ${{ secrets.ACCESS_TOKEN_EXPIRE_MINUTES }} - - services: - postgres: - image: postgres - env: - POSTGRES_DB: app_db - POSTGRES_PASSWORD: app_password - POSTGRES_USER: app_user - ports: - - 5432:5432 - - steps: - - name: Copia os arquivos do repositório - uses: actions/checkout@v3 - - - name: Instalar o python - uses: actions/setup-python@v5 - with: - python-version: '3.11' - - - name: Instalar o poetry - run: pipx install poetry - - - name: Instalar dependências - run: poetry install - - - name: Executar testes - run: poetry run task test - ``` - ## Conclusão Através deste módulo sobre Integração Contínua com GitHub Actions, ganhamos uma compreensão sólida de como a CI é vital no desenvolvimento moderno de software. Vimos como o GitHub Actions, uma ferramenta poderosa e versátil, pode ser utilizada para automatizar nossos testes e garantir a qualidade e estabilidade do código a cada commit. Esta prática não apenas otimiza nosso fluxo de trabalho, mas também nos ajuda a identificar e resolver problemas precocemente. -Com a habilidade de integrar serviços como o PostgreSQL, nosso workflow de CI agora reflete mais precisamente o ambiente de produção. Isso nos dá a confiança de que nosso código funcionará conforme esperado quando for lançado. - No próximo módulo, o foco será na preparação da nossa aplicação FastAPI para o deployment em produção. 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Agora que temos uma visão clara do que nosso workflow envolve, nos aprofundaremos em como transformar essa teoria em prática. From f632bec7b548785b63a9a288b4e66e60ad63b3a7 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 17:08:38 -0300 Subject: [PATCH 04/20] update pydantic-email --- codigo_das_aulas/01/poetry.lock | 168 +++++++++++++------------- codigo_das_aulas/02/poetry.lock | 168 +++++++++++++------------- codigo_das_aulas/03/poetry.lock | 170 +++++++++++++------------- codigo_das_aulas/03/pyproject.toml | 2 +- codigo_das_aulas/04/poetry.lock | 178 ++++++++++++++-------------- codigo_das_aulas/04/pyproject.toml | 4 +- codigo_das_aulas/05/poetry.lock | 178 ++++++++++++++-------------- codigo_das_aulas/05/pyproject.toml | 4 +- codigo_das_aulas/06/poetry.lock | 178 ++++++++++++++-------------- codigo_das_aulas/06/pyproject.toml | 4 +- codigo_das_aulas/07/poetry.lock | 178 ++++++++++++++-------------- codigo_das_aulas/07/pyproject.toml | 4 +- codigo_das_aulas/08/poetry.lock | 184 ++++++++++++++--------------- codigo_das_aulas/08/pyproject.toml | 4 +- codigo_das_aulas/09/poetry.lock | 184 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python-versions = ">=3.8" files = [ - {file = "pydantic_settings-2.2.1-py3-none-any.whl", hash = "sha256:0235391d26db4d2190cb9b31051c4b46882d28a51533f97440867f012d4da091"}, - {file = "pydantic_settings-2.2.1.tar.gz", hash = "sha256:00b9f6a5e95553590434c0fa01ead0b216c3e10bc54ae02e37f359948643c5ed"}, + {file = "pydantic_settings-2.3.0-py3-none-any.whl", hash = "sha256:26eeed27370a9c5e3f64e4a7d6602573cbedf05ed940f1d5b11c3f178427af7a"}, + {file = "pydantic_settings-2.3.0.tar.gz", hash = "sha256:78db28855a71503cfe47f39500a1dece523c640afd5280edb5c5c9c9cfa534c9"}, ] [package.dependencies] -pydantic = ">=2.3.0" +pydantic = ">=2.7.0" python-dotenv = ">=0.21.0" [package.extras] @@ -2158,4 +2158,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "6d24d0d5d1880d04dbb7a0ba3694f051240d4462276e41b1236dc56b817589bb" +content-hash = "a0139c9a2efc4c6c4510cff91062831de179b491ced06fa5bb9c72de5dfeef5f" diff --git a/codigo_das_aulas/12/pyproject.toml b/codigo_das_aulas/12/pyproject.toml index b6057e6e..2e1f9429 100644 --- a/codigo_das_aulas/12/pyproject.toml +++ b/codigo_das_aulas/12/pyproject.toml @@ -9,9 +9,9 @@ packages = [{include = "fast_zero"}] [tool.poetry.dependencies] python = "^3.11" fastapi = "^0.111.0" -pydantic = {extras = ["email"], version = "^2.7.2"} +pydantic = {extras = ["email"], version = "^2.7.3"} sqlalchemy = "^2.0.30" -pydantic-settings = "^2.2.1" +pydantic-settings = "^2.3.0" alembic = "^1.13.1" python-multipart = "^0.0.9" pyjwt = "^2.8.0" From 1fb699b1a28cefcef6d403c483de7da6827ad042 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 19:01:33 -0300 Subject: [PATCH 05/20] =?UTF-8?q?Verifica=C3=A7=C3=B5es=20mais=20precisas?= =?UTF-8?q?=20de=20migra=C3=A7=C3=B5es=20no=20CI?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .github/workflows/ci.yaml | 3 ++ tasks.py | 60 ++++++++++++++++++++++++++++++++------- 2 files changed, 53 insertions(+), 10 deletions(-) diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index 07662eef..ada11cdd 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -43,3 +43,6 @@ jobs: - name: Roda os typos dos códigos de aulas run: poetry run invoke typos-sub + + - name: Testa as migrações + run: poetry run invoke test-migrations diff --git a/tasks.py b/tasks.py index fea6afd1..91e66526 100644 --- a/tasks.py +++ b/tasks.py @@ -1,3 +1,5 @@ +from contextlib import contextmanager + from invoke import task from rich import print from pathlib import Path @@ -30,6 +32,54 @@ ); """ +dotenv = """DATABASE_URL="postgresql+psycopg://app_user:app_password@localhost:5432/app_db" +SECRET_KEY="your-secret-key" +ALGORITHM="HS256" +ACCESS_TOKEN_EXPIRE_MINUTES=30 +""" + +fake_dotenv = """DATABASE_URL="sqlite:///database.db" +SECRET_KEY="your-secret-key" +ALGORITHM="HS256" +ACCESS_TOKEN_EXPIRE_MINUTES=30 +""" + +@contextmanager +def env_file(path: Path): + with open(path / '.env', 'w') as file: + file.write(fake_dotenv) + + yield + + with open(path / '.env', 'w') as file: + file.write(dotenv) + + +@task +def test_migrations(c): + code_path = Path('./codigo_das_aulas/').resolve().glob('*') + for path in sorted(code_path): + print(path) + database = path / 'database.db' + + if database.exists(): + database.unlink() + + with c.cd(str(path)): + if int(path.parts[-1]) >= 9: + c.run('poetry install') + + with env_file(path): + c.run('alembic upgrade head') + schema = c.run('sqlite3 database.db ".schema"') + assert schema.stdout == migration_09 + + elif int(path.parts[-1]) >= 4: + c.run('poetry install') + c.run('alembic upgrade head') + schema = c.run('sqlite3 database.db ".schema"') + assert schema.stdout == migration_05 + @task def update_project(c): @@ -97,16 +147,6 @@ def test_sub(c): c.run('poetry install') c.run('poetry run task test') - if int(path.parts[-1]) >= 9: - c.run('alembic upgrade head') - schema = c.run('sqlite3 database.db ".schema"') - assert schema.stdout == migration_09 - - elif int(path.parts[-1]) >= 4: - c.run('alembic upgrade head') - schema = c.run('sqlite3 database.db ".schema"') - assert schema.stdout == migration_05 - @task def update_sub(c): code_path = Path('./codigo_das_aulas/').resolve().glob('*') From 023555f9fba5d21a9e5a883fddb1bcaf4449f540 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 19:01:51 -0300 Subject: [PATCH 06/20] =?UTF-8?q?Envs=20por=20padr=C3=A3o=20com=20postgres?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- codigo_das_aulas/10/.env | 2 +- codigo_das_aulas/11/.env | 2 +- codigo_das_aulas/12/.env | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/codigo_das_aulas/10/.env b/codigo_das_aulas/10/.env index 47cc92df..da3a08a1 100644 --- a/codigo_das_aulas/10/.env +++ b/codigo_das_aulas/10/.env @@ -1,4 +1,4 @@ -DATABASE_URL="sqlite:///database.db" +DATABASE_URL="postgresql+psycopg://app_user:app_password@localhost:5432/app_db" SECRET_KEY="your-secret-key" ALGORITHM="HS256" ACCESS_TOKEN_EXPIRE_MINUTES=30 diff --git a/codigo_das_aulas/11/.env b/codigo_das_aulas/11/.env index 47cc92df..da3a08a1 100644 --- a/codigo_das_aulas/11/.env +++ b/codigo_das_aulas/11/.env @@ -1,4 +1,4 @@ -DATABASE_URL="sqlite:///database.db" +DATABASE_URL="postgresql+psycopg://app_user:app_password@localhost:5432/app_db" SECRET_KEY="your-secret-key" ALGORITHM="HS256" ACCESS_TOKEN_EXPIRE_MINUTES=30 diff --git a/codigo_das_aulas/12/.env b/codigo_das_aulas/12/.env index 47cc92df..da3a08a1 100644 --- a/codigo_das_aulas/12/.env +++ b/codigo_das_aulas/12/.env @@ -1,4 +1,4 @@ -DATABASE_URL="sqlite:///database.db" +DATABASE_URL="postgresql+psycopg://app_user:app_password@localhost:5432/app_db" SECRET_KEY="your-secret-key" ALGORITHM="HS256" ACCESS_TOKEN_EXPIRE_MINUTES=30 From 33c6605739df557d6424d8806c32ac9d3125d5b8 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 19:02:18 -0300 Subject: [PATCH 07/20] [WIP] Preparando o terreno para os testcontainers na aula 10 related #161 --- aulas/10.md | 155 +++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 154 insertions(+), 1 deletion(-) diff --git a/aulas/10.md b/aulas/10.md index ec1eb6bf..78ea5011 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -530,8 +530,159 @@ Este processo garante que as migrações do banco de dados são realizadas autom Dica do [@ayharano](https://github.com/ayharano){:target="_blank"} nessa [issue](https://github.com/dunossauro/fastapi-do-zero/issues/48){:target="_blank"}. -## Testes com Docker +## Testes e Docker +### Executando testes com o banco de dados em um container + +Os testes contemplam um ciclo de feedback positivo, eles têm que ser executados de forma rápida e eficiente. Adicionar o container do Postgres a nossa aplicação, torna o processo de testes um pouco mais complexo. Pois existe uma dependência ao nível de sistema para os testes serem executados. + +Começaremos começar com o contraexemplo. Vamos alterar o comportamento da fixture do banco de dados para usar o postgres: + +```py title="tests/conftest.py" linenums="6" hl_lines="4 11" +from fast_zero.app import app +from fast_zero.database import get_session +from fast_zero.models import table_registry +from fast_zero.settings import Settings +from fast_zero.security import get_password_hash +from tests.factories import UserFactory + + +@pytest.fixture() +def session(): + engine = create_engine(Settings().DATABASE_URL) + table_registry.metadata.create_all(engine) + + with Session(engine) as session: + yield session + session.rollback() + + table_registry.metadata.drop_all(engine) +``` + +Partindo desse exemplo, para os testes serem executados, o banco de dados precisaria estar de pé. O que nos cobraria um container em execução para os testes poderem rodar. + +Por exemplo: + +```shell title="$ Execução no terminal!" +task test +``` + +Isso originaria esse erro: + +```shell hl_lines="23" +============================= test session starts ============================== +platform linux -- Python 3.12.3, pytest-8.2.1, pluggy-1.5.0 -- /home/dunossauro/git/fastapi-do-zero/codigo_das_aulas/10/.venv/bin/python +cachedir: .pytest_cache +rootdir: /home/dunossauro/git/fastapi-do-zero/codigo_das_aulas/10 +configfile: pyproject.toml +plugins: anyio-4.4.0, cov-5.0.0, Faker-25.4.0 +collecting ... collected 28 items + +tests/test_app.py::test_root_deve_retornar_ok_e_ola_mundo ERROR + +==================================== ERRORS ==================================== +___________ ERROR at setup of test_root_deve_retornar_ok_e_ola_mundo ___________ + +self = +engine = Engine(postgresql+psycopg://app_user:***@localhost:5432/app_db) +connection = None, _has_events = None, _allow_revalidate = True +_allow_autobegin = True + +# ... + if not rv: + assert last_ex +> raise last_ex.with_traceback(None) +E psycopg.OperationalError: connection failed: connection to server at "127.0.0.1", port 5432 failed: Connection refused +E Is the server running on that host and accepting TCP/IP connections? + +.venv/lib/python3.12/site-packages/psycopg/connection.py:748: OperationalError +``` + +Obtivemos o erro `#!python psycopg.OperationalError: connection failed: connection to server at "127.0.0.1", port 5432 failed: Connection refused`. Ele diz que ouve uma falha na comunicação com o nosso host na porta `5432`. O endereço que colocamos no `.env`. Para que ele fique acessível, temos que iniciar o container antes de executar os testes. + + +Para isso: + +```shell title="$ Execução no terminal!" +docker compose up -d fastzero_database +``` + +E em seguida executar os testes: + +```shell title="$ Execução no terminal!" +task test +``` + +Agora, sucesso. O resultado é exatamente o que esperávamos: + +```shell +All checks passed! +========== test session starts ========== +platform linux -- Python 3.12.3, pytest-8.2.1, pluggy-1.5.0 -- /.../10/.venv/bin/python +cachedir: .pytest_cache +rootdir: /home/dunossauro/git/fastapi-do-zero/codigo_das_aulas/10 +configfile: pyproject.toml +plugins: anyio-4.4.0, cov-5.0.0, Faker-25.4.0 +collected 28 items + +tests/test_app.py::test_root_deve_retornar_ok_e_ola_mundo PASSED +tests/test_auth.py::test_get_token PASSED +tests/test_auth.py::test_token_expired_after_time PASSED +tests/test_auth.py::test_token_inexistent_user PASSED +tests/test_auth.py::test_token_wrong_password PASSED +tests/test_auth.py::test_refresh_token PASSED +tests/test_auth.py::test_token_expired_dont_refresh PASSED +tests/test_db.py::test_create_user PASSED +tests/test_db.py::test_create_todo PASSED +tests/test_security.py::test_jwt PASSED +tests/test_todos.py::test_create_todo PASSED +tests/test_todos.py::test_list_todos_should_return_5_todos PASSED +tests/test_todos.py::test_list_todos_pagination_should_return_2_todos PASSED +tests/test_todos.py::test_list_todos_filter_title_should_return_5_todos PASSED +tests/test_todos.py::test_list_todos_filter_description_should_return_5_todos PASSED +tests/test_todos.py::test_list_todos_filter_state_should_return_5_todos PASSED +tests/test_todos.py::test_list_todos_filter_combined_should_return_5_todos PASSED +tests/test_todos.py::test_patch_todo_error PASSED +tests/test_todos.py::test_patch_todo PASSED +tests/test_todos.py::test_delete_todo PASSED +tests/test_todos.py::test_delete_todo_error PASSED +tests/test_users.py::test_create_user PASSED +tests/test_users.py::test_read_users PASSED +tests/test_users.py::test_read_users_with_users PASSED +tests/test_users.py::test_update_user PASSED +tests/test_users.py::test_delete_user PASSED +tests/test_users.py::test_update_user_with_wrong_user PASSED +tests/test_users.py::test_delete_user_wrong_user PASSED + +---------- coverage: platform linux, python 3.12.3-final-0 ----------- +Name Stmts Miss Cover +------------------------------------------------ +fast_zero/__init__.py 0 0 100% +fast_zero/app.py 11 0 100% +fast_zero/database.py 7 2 71% +fast_zero/models.py 29 0 100% +fast_zero/routers/auth.py 26 0 100% +fast_zero/routers/todos.py 50 0 100% +fast_zero/routers/users.py 47 4 91% +fast_zero/schemas.py 35 0 100% +fast_zero/security.py 42 3 93% +fast_zero/settings.py 7 0 100% +------------------------------------------------ +TOTAL 254 9 96% + + +========== 28 passed in 4.94s ========== +Wrote HTML report to htmlcov/index.html +``` + +Embora essa seja uma abordagem que funciona, ela é trabalhosa e temos que garantir que o container sempre esteja de pé. E como garantir isso durante a execução do código? + +#### Containers de testes + +> WIP: Aqui será explicado sobre os testcontainers + + +### Executando os testes via docker Agora que temos o `docker-compose` configurado, realizar testes tornou-se uma tarefa simplificada. Podemos executar toda a suíte de testes com um único comando, sem a necessidade de ajustes adicionais ou configurações complexas. Isso é possível devido à maneira como o `docker-compose` gerencia os serviços e suas dependências. Para executar os testes, utilizamos o comando: @@ -591,6 +742,8 @@ Assim tendo o ambiente limpo novamente. ### Executando os testes no PostgreSQL +> WIP: Alterar esse tópico. Ele está previamente contemplado do tópico de containers + Embora nosso `docker-compose` esteja configurado para levantar o banco de dados PostgreSQL ao executar os testes, é importante ressaltar que o container do PostgreSQL não está sendo utilizado durante a execução dos testes. Isso acontece porque a fixture responsável por criar a sessão do banco de dados está com as instruções "hardcoded" para o SQLite, como no código abaixo: ```py title="tests/conftest.py" linenums="1" hl_lines="3-7" From 90d96f7449eae19a2c0a5051d2b7640f136f1e6f Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 19:46:48 -0300 Subject: [PATCH 08/20] [WIP] Introduzindo os testcontainers no texto da aula 10 related #161 --- aulas/10.md | 62 ++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 61 insertions(+), 1 deletion(-) diff --git a/aulas/10.md b/aulas/10.md index 78ea5011..22ef8f26 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -679,8 +679,68 @@ Embora essa seja uma abordagem que funciona, ela é trabalhosa e temos que garan #### Containers de testes -> WIP: Aqui será explicado sobre os testcontainers +Uma forma de interessante de usar containers em testes, é usar **containers específicos para testes**. Em python temos uma biblioteca chamada [testcontainers](https://testcontainers-python.readthedocs.io/en/latest/){:target="_blank"}. +TestContainers são uma forma de invocar containers docker para dependências de testes durante a execução dos testes. Logo, se você tiver algum serviço externo que precise ser iniciado para um teste ser executado. Você pode fazer a instância de um objeto python que representa o container. + + +A biblioteca TestContainers tem diversas opções de containers, principalmente de bancos de dados. Como MariaDB, MongoDB, InfluxDB, etc. Também temos a opção de iniciar o PostgreSQL. Para isso, vamos instalar o testcontainters: + +```shell title="$ Execução no terminal!" +poetry add --group dev testcontainers +``` + +Com o `testcontainers` instalado podemos alterar a fixture de conexão com o banco de dados, para usar um container que será gerenciado pelo teste: + +```python title="tests/conftest.py" hl_lines="7 8" +from testcontainers.postgres import PostgresContainer #(1)! + +# ... + +@pytest.fixture() +def session(): + with PostgresContainer("postgres:16", driver='psycopg') as postgres: #(2)! + engine = create_engine(postgres.get_connection_url()) #(3)! + table_registry.metadata.create_all(engine) + + with Session(engine) as session: + yield session + session.rollback() + + table_registry.metadata.drop_all(engine) +``` + +1. Faz o import do `PostgresContainer` dos testcontainers. +2. Cria um container de postgres na versão 16. Usando o `psycopg` como driver. +3. `get_connection_url()` pega o endereço do postgres criado durante o teste. + +Agora, todas às vezes em que a fixture de `session` for usada nos testes. Será iniciado um novo container postgres na versão 16. E os testes serão executados neste container. + +Podemos executar os testes para ver se teremos sucesso: + +```shell title="$ Execução no terminal!" +task test +``` + +Os testes devem ser executados com sucesso, mas algumas mensagens estranhas podem começar a aparecer no meio deles. Algo como: + +```shell title="$ Parte da resposta do comando de testes" hl_lines="2-4" +tests/test_users.py::test_delete_user_wrong_user Pulling image postgres:16 +Container started: beff0853dde0 +Waiting for container with image postgres:16 to be ready ... +Waiting for container with image postgres:16 to be ready ... +PASSED +``` + +A mensagem `Pulling image postgres:16` está dizendo que o container do postgres está sendo baixado do hub. Logo em seguida temos a mensagem `Container started: beff0853dde0`. Que diz que o container foi iniciado. Após essa mensagem vemos o `Waiting for container`, que diz que está aguardando o container estar pronto para operar durante os testes. + +Uma coisa *preocupante* nessa execução é a mensagem final: `28 passed in 80.92s (0:01:20)`. Embora todos os testes tenham sido executados com sucesso, levaram 80 segundos para serem executados (isso na minha máquina). + +Isso faz com que o tempo de feedback do teste seja alto. Quando isso acontece, tendemos a executar menos os testes, por conta da demora. Então, temos que melhorar esse tempo. + +#### Fixtures de sessão + +> WIP: Explicar o escopo de inicialização único de uma fixture ### Executando os testes via docker Agora que temos o `docker-compose` configurado, realizar testes tornou-se uma tarefa simplificada. Podemos executar toda a suíte de testes com um único comando, sem a necessidade de ajustes adicionais ou configurações complexas. Isso é possível devido à maneira como o `docker-compose` gerencia os serviços e suas dependências. From 9b451003162edb4dfcc625a826c8779db52607b0 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 20:29:39 -0300 Subject: [PATCH 09/20] Ajustando o codestyle da fixture de engine related #161 --- codigo_das_aulas/10/tests/conftest.py | 4 ++-- codigo_das_aulas/11/tests/conftest.py | 4 ++-- codigo_das_aulas/12/tests/conftest.py | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/codigo_das_aulas/10/tests/conftest.py b/codigo_das_aulas/10/tests/conftest.py index 1e4c4605..726eafce 100644 --- a/codigo_das_aulas/10/tests/conftest.py +++ b/codigo_das_aulas/10/tests/conftest.py @@ -13,9 +13,9 @@ @pytest.fixture(scope='session') def engine(): - with PostgresContainer("postgres:16", driver='psycopg') as p: + with PostgresContainer('postgres:16', driver='psycopg') as postgres: - _engine = create_engine(p.get_connection_url()) + _engine = create_engine(postgres.get_connection_url()) with _engine.begin(): yield _engine diff --git a/codigo_das_aulas/11/tests/conftest.py b/codigo_das_aulas/11/tests/conftest.py index 1e4c4605..726eafce 100644 --- a/codigo_das_aulas/11/tests/conftest.py +++ b/codigo_das_aulas/11/tests/conftest.py @@ -13,9 +13,9 @@ @pytest.fixture(scope='session') def engine(): - with PostgresContainer("postgres:16", driver='psycopg') as p: + with PostgresContainer('postgres:16', driver='psycopg') as postgres: - _engine = create_engine(p.get_connection_url()) + _engine = create_engine(postgres.get_connection_url()) with _engine.begin(): yield _engine diff --git a/codigo_das_aulas/12/tests/conftest.py b/codigo_das_aulas/12/tests/conftest.py index 1e4c4605..726eafce 100644 --- a/codigo_das_aulas/12/tests/conftest.py +++ b/codigo_das_aulas/12/tests/conftest.py @@ -13,9 +13,9 @@ @pytest.fixture(scope='session') def engine(): - with PostgresContainer("postgres:16", driver='psycopg') as p: + with PostgresContainer('postgres:16', driver='psycopg') as postgres: - _engine = create_engine(p.get_connection_url()) + _engine = create_engine(postgres.get_connection_url()) with _engine.begin(): yield _engine From 733d5bb5efaa8841e3d465daaf5ddc4b1f9263a9 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Mon, 3 Jun 2024 20:30:10 -0300 Subject: [PATCH 10/20] =?UTF-8?q?[WIP]=20Adicionando=20informa=C3=A7=C3=B5?= =?UTF-8?q?es=20sobre=20escopos=20de=20fixtures=20na=20aula=2010?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 63 ++++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 60 insertions(+), 3 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index 22ef8f26..9721fbd3 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -699,7 +699,7 @@ from testcontainers.postgres import PostgresContainer #(1)! @pytest.fixture() def session(): - with PostgresContainer("postgres:16", driver='psycopg') as postgres: #(2)! + with PostgresContainer('postgres:16', driver='psycopg') as postgres: #(2)! engine = create_engine(postgres.get_connection_url()) #(3)! table_registry.metadata.create_all(engine) @@ -710,7 +710,7 @@ def session(): table_registry.metadata.drop_all(engine) ``` -1. Faz o import do `PostgresContainer` dos testcontainers. +1. Faz o import do `PostgresContainer` dos testcontainers. O que quer dizer que ela será iniciada somente uma vez durante toda a sessão de testes. 2. Cria um container de postgres na versão 16. Usando o `psycopg` como driver. 3. `get_connection_url()` pega o endereço do postgres criado durante o teste. @@ -740,9 +740,66 @@ Isso faz com que o tempo de feedback do teste seja alto. Quando isso acontece, t #### Fixtures de sessão -> WIP: Explicar o escopo de inicialização único de uma fixture +> WIP: Revisar esse texto V + +Na configuração padrão, as fixtures tradicionais do pytest são executadas em todos os testes que solicitam por elas, em um escopo que chamamos de "função". Mas, existem outros [escopos](https://docs.pytest.org/en/7.1.x/how-to/fixtures.html#fixture-scopes){:target="_blank"} possíveis. Como executar uma vez por módulo, uma vez por classe, e o que nos interessa nesse momento, uma vez por execução de testes. + +O que vai dizer como e quando a fixture será utilizada é o escopo. O parâmetro `scope` deve ser usado para isso. + +--- + +Para resolver o problema da lentidão, vamos criar nova fixture para a `engine`. Ela ficará responsável por criar a conexão persistente com o postgres. O escopo da fixture será `session`. O que quer dizer que o container do banco de dados e a conexão com o mesmo só ocorrerá uma vez durante todos os testes. + +O container será baixado e iniciado antes de todos os testes e nos fornecerá a `engine` do sqlalchemy já conectada com esse container: + +```python title="tests/conftest.py" hl_lines="1 7" +@pytest.fixture(scope='session') #(1)! +def engine(): + with PostgresContainer('postgres:16', driver='psycopg') as postgres: + + _engine = create_engine(postgres.get_connection_url()) + + with _engine.begin(): #(2)! + yield _engine + +``` + +1. fixture sendo definida com o escopo `#!python 'session'`. +2. Inicia a conexão com o banco de dados. A `Session` originalmente inicia a conexão e a fecha. Contudo, como vamos criar diversas sessions, é interessante que o controle da conexão seja gerenciado pela engine. + +Desta forma, por consequência, não iremos mais definir a engine na fixture de `session`. Usaremos a fixture de engine, que será criada somente uma vez durante toda a execução dos testes: + +```python title="tests/conftest.py" hl_lines="2" +@pytest.fixture() +def session(engine): #(1)! + table_registry.metadata.create_all(engine) + + with Session(engine) as session: + yield session + session.rollback() + + table_registry.metadata.drop_all(engine) +``` + +1. `engine` agora é definida pela fixture de `engine`. + +Com isso, podemos executar os testes novamente e devemos ver uma diferença significativa de tempo: + +```{.shell title="$ Execução no terminal!" .no-copy} +task test + +# ... +========= 28 passed in 7.96s ========= +``` + +Com o container sendo iniciado somente uma vez, o tempo total de execução dos testes caiu para `7.96s`, em comparação com os 80 segundos que tínhamos antes. + +Agora temos um tempo de feedback aceitável para execução de testes. ### Executando os testes via docker + +> WIP: Verificar o que deve ser alterado nesse tópico em relação ao que foi inserido no anterior + Agora que temos o `docker-compose` configurado, realizar testes tornou-se uma tarefa simplificada. Podemos executar toda a suíte de testes com um único comando, sem a necessidade de ajustes adicionais ou configurações complexas. Isso é possível devido à maneira como o `docker-compose` gerencia os serviços e suas dependências. Para executar os testes, utilizamos o comando: From f3fd2e535554e3a6beda9a7629496595bf16822d Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 17:39:39 -0300 Subject: [PATCH 11/20] =?UTF-8?q?[WIP]=20Introduzindo=20o=20t=C3=B3pico=20?= =?UTF-8?q?de=20testes=20e=20docker?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/aulas/10.md b/aulas/10.md index 9721fbd3..578e6fda 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -532,13 +532,17 @@ Este processo garante que as migrações do banco de dados são realizadas autom ## Testes e Docker +Uma das partes importantes dos testes é tentar chegar o mais próximo possível do ambiente de desenvolvimento. Contudo, nessa aula, introduzimos uma dependência que vai além do python, o postgres. + +Isso pode tornar o nosso código mais complicado de testar, por existir um [DoC](http://xunitpatterns.com/DOC.html){:target="_blank"}. Um "componente dependente" para ser executado. Nesse caso, porém, é interno ao sqlalchemy. Para usar o `psycopg`, temos uma dependência externa ao python, o banco de dados precisa estar sendo executado, caso contrário os testes falharão. + ### Executando testes com o banco de dados em um container Os testes contemplam um ciclo de feedback positivo, eles têm que ser executados de forma rápida e eficiente. Adicionar o container do Postgres a nossa aplicação, torna o processo de testes um pouco mais complexo. Pois existe uma dependência ao nível de sistema para os testes serem executados. Começaremos começar com o contraexemplo. Vamos alterar o comportamento da fixture do banco de dados para usar o postgres: -```py title="tests/conftest.py" linenums="6" hl_lines="4 11" +```python title="tests/conftest.py" linenums="6" hl_lines="4 11" from fast_zero.app import app from fast_zero.database import get_session from fast_zero.models import table_registry From 8bc3cde48c4bf76bd0f3e4750c924cb2b9102712 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 17:40:12 -0300 Subject: [PATCH 12/20] Linting no arquivo de tasks do CI --- tasks.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/tasks.py b/tasks.py index 91e66526..19b1c44c 100644 --- a/tasks.py +++ b/tasks.py @@ -1,8 +1,8 @@ from contextlib import contextmanager +from pathlib import Path from invoke import task from rich import print -from pathlib import Path from tomllib import loads migration_05 = """CREATE TABLE alembic_version ( @@ -19,7 +19,7 @@ UNIQUE (email), UNIQUE (username) ); -""" +""" # noqa migration_09 = migration_05 + """CREATE TABLE todos ( id INTEGER NOT NULL, @@ -30,7 +30,7 @@ PRIMARY KEY (id), FOREIGN KEY(user_id) REFERENCES users (id) ); -""" +""" # noqa dotenv = """DATABASE_URL="postgresql+psycopg://app_user:app_password@localhost:5432/app_db" SECRET_KEY="your-secret-key" @@ -44,14 +44,15 @@ ACCESS_TOKEN_EXPIRE_MINUTES=30 """ + @contextmanager def env_file(path: Path): - with open(path / '.env', 'w') as file: + with open(path / '.env', 'w', encoding='urf-8') as file: file.write(fake_dotenv) yield - with open(path / '.env', 'w') as file: + with open(path / '.env', 'w', encoding='urf-8') as file: file.write(dotenv) @@ -66,7 +67,7 @@ def test_migrations(c): database.unlink() with c.cd(str(path)): - if int(path.parts[-1]) >= 9: + if int(path.parts[-1]) >= 9: # noqa c.run('poetry install') with env_file(path): @@ -74,7 +75,7 @@ def test_migrations(c): schema = c.run('sqlite3 database.db ".schema"') assert schema.stdout == migration_09 - elif int(path.parts[-1]) >= 4: + elif int(path.parts[-1]) >= 4: # noqa c.run('poetry install') c.run('alembic upgrade head') schema = c.run('sqlite3 database.db ".schema"') @@ -147,6 +148,7 @@ def test_sub(c): c.run('poetry install') c.run('poetry run task test') + @task def update_sub(c): code_path = Path('./codigo_das_aulas/').resolve().glob('*') @@ -173,7 +175,6 @@ def update_sub(c): elif dep == 'pwdlib': c.run('poetry add "pwdlib[argon2]@latest"') - elif dep == 'psycopg': c.run('poetry add "psycopg[binary]@latest"') From 50f604c05238a007e686d11f37454645c582d3d2 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 17:42:13 -0300 Subject: [PATCH 13/20] =?UTF-8?q?[WIP]=20Fechando=20t=C3=B3pico=20"Executa?= =?UTF-8?q?ndo=20testes=20com=20o=20banco=20de=20dados=20em=20um=20contain?= =?UTF-8?q?er"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index 578e6fda..c5362161 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -563,6 +563,10 @@ def session(): table_registry.metadata.drop_all(engine) ``` +Com essa modificação, agora estamos apontando para o PostgreSQL, conforme definido nas configurações da nossa aplicação (`Settings().DATABASE_URL`). A transição do SQLite para o PostgreSQL é facilitada pela abstração fornecida pelo SQLAlchemy, que nos permite mudar de um banco para outro sem problemas. + +> É importante notar que essa flexibilidade se deve ao fato de não termos utilizado recursos específicos do PostgreSQL que não são suportados pelo SQLite. Caso contrário, a mudança poderia não ser tão direta. + Partindo desse exemplo, para os testes serem executados, o banco de dados precisaria estar de pé. O que nos cobraria um container em execução para os testes poderem rodar. Por exemplo: @@ -608,9 +612,11 @@ Obtivemos o erro `#!python psycopg.OperationalError: connection failed: connecti Para isso: ```shell title="$ Execução no terminal!" -docker compose up -d fastzero_database +docker-compose up -d fastzero_database #(1)! ``` +1. Inicia somente o container no banco de dados via docker compose + E em seguida executar os testes: ```shell title="$ Execução no terminal!" @@ -679,9 +685,9 @@ TOTAL 254 9 96% Wrote HTML report to htmlcov/index.html ``` -Embora essa seja uma abordagem que funciona, ela é trabalhosa e temos que garantir que o container sempre esteja de pé. E como garantir isso durante a execução do código? +Embora essa seja uma abordagem que funciona, ela é trabalhosa e temos que garantir que o container sempre esteja de pé. E como garantir isso durante a execução dos testes? -#### Containers de testes +### Containers de testes Uma forma de interessante de usar containers em testes, é usar **containers específicos para testes**. Em python temos uma biblioteca chamada [testcontainers](https://testcontainers-python.readthedocs.io/en/latest/){:target="_blank"}. From 0602da371d3676b6343e556786870821f089b974 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 17:53:28 -0300 Subject: [PATCH 14/20] =?UTF-8?q?[WIP]=20Revis=C3=A3o=20do=20t=C3=B3pico?= =?UTF-8?q?=20"Containers=20de=20testes"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index c5362161..00c0a805 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -691,8 +691,7 @@ Embora essa seja uma abordagem que funciona, ela é trabalhosa e temos que garan Uma forma de interessante de usar containers em testes, é usar **containers específicos para testes**. Em python temos uma biblioteca chamada [testcontainers](https://testcontainers-python.readthedocs.io/en/latest/){:target="_blank"}. -TestContainers são uma forma de invocar containers docker para dependências de testes durante a execução dos testes. Logo, se você tiver algum serviço externo que precise ser iniciado para um teste ser executado. Você pode fazer a instância de um objeto python que representa o container. - +TestContainers é uma biblioteca que fornece uma interface python para executarmos os containers diretamente no código dos testes. Você importa o código referente a um container e ele te retorna todas as configurações para que você possa usar durante os testes. Desta forma, podemos controlar o fluxo de inicialização/finalização dos containers diretamente no código. A biblioteca TestContainers tem diversas opções de containers, principalmente de bancos de dados. Como MariaDB, MongoDB, InfluxDB, etc. Também temos a opção de iniciar o PostgreSQL. Para isso, vamos instalar o testcontainters: @@ -700,7 +699,7 @@ A biblioteca TestContainers tem diversas opções de containers, principalmente poetry add --group dev testcontainers ``` -Com o `testcontainers` instalado podemos alterar a fixture de conexão com o banco de dados, para usar um container que será gerenciado pelo teste: +Com o `testcontainers` instalado iremos alterar a fixture de conexão com o banco de dados, para usar um container que será gerenciado pela fixture: ```python title="tests/conftest.py" hl_lines="7 8" from testcontainers.postgres import PostgresContainer #(1)! @@ -722,17 +721,17 @@ def session(): 1. Faz o import do `PostgresContainer` dos testcontainers. O que quer dizer que ela será iniciada somente uma vez durante toda a sessão de testes. 2. Cria um container de postgres na versão 16. Usando o `psycopg` como driver. -3. `get_connection_url()` pega o endereço do postgres criado durante o teste. +3. `get_connection_url()` pega a URI do container postgres criado pelo `testcontainers`. -Agora, todas às vezes em que a fixture de `session` for usada nos testes. Será iniciado um novo container postgres na versão 16. E os testes serão executados neste container. +Agora, todas às vezes em que a fixture de `session` for usada nos testes. Será iniciado um novo container postgres na versão 16. E as interações com o banco serão feitas nesse container. -Podemos executar os testes para ver se teremos sucesso: +Tudo pronto para execução dos testes: ```shell title="$ Execução no terminal!" task test ``` -Os testes devem ser executados com sucesso, mas algumas mensagens estranhas podem começar a aparecer no meio deles. Algo como: +Os testes devem ser executados com sucesso, mas algumas mensagens estranhas podem começar a aparecer entre o nome dos testes. Algo como: ```shell title="$ Parte da resposta do comando de testes" hl_lines="2-4" tests/test_users.py::test_delete_user_wrong_user Pulling image postgres:16 @@ -740,13 +739,15 @@ Container started: beff0853dde0 Waiting for container with image postgres:16 to be ready ... Waiting for container with image postgres:16 to be ready ... PASSED +# ... +========= {++28 passed in 80.92s (0:01:20)++} ========= ``` -A mensagem `Pulling image postgres:16` está dizendo que o container do postgres está sendo baixado do hub. Logo em seguida temos a mensagem `Container started: beff0853dde0`. Que diz que o container foi iniciado. Após essa mensagem vemos o `Waiting for container`, que diz que está aguardando o container estar pronto para operar durante os testes. +A mensagem `Pulling image postgres:16` está dizendo que o container do postgres está sendo baixado do hub. Logo em seguida temos a mensagem `Container started: beff0853dde0`. Que diz que o container com id `beff0853dde0` foi iniciado. Após essa mensagem vemos o `Waiting for container`, que diz que está aguardando o container estar pronto para operar durante os testes. Uma coisa *preocupante* nessa execução é a mensagem final: `28 passed in 80.92s (0:01:20)`. Embora todos os testes tenham sido executados com sucesso, levaram 80 segundos para serem executados (isso na minha máquina). -Isso faz com que o tempo de feedback do teste seja alto. Quando isso acontece, tendemos a executar menos os testes, por conta da demora. Então, temos que melhorar esse tempo. +Isso faz com que o tempo de feedback dos testes seja alto. Quando isso acontece, tendemos a executar menos os testes, por conta da demora. Então, temos que melhorar esse tempo. #### Fixtures de sessão From 214ed804ade9298016ae9787972db696e6d8ebe6 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 19:05:32 -0300 Subject: [PATCH 15/20] =?UTF-8?q?[WIP]=20Revis=C3=A3o=20do=20t=C3=B3pico?= =?UTF-8?q?=20"fixtures=20de=20sess=C3=A3o"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 42 ++++++++++++++++++++++++++++++++++++------ 1 file changed, 36 insertions(+), 6 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index 00c0a805..d9a563fe 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -751,26 +751,56 @@ Isso faz com que o tempo de feedback dos testes seja alto. Quando isso acontece, #### Fixtures de sessão -> WIP: Revisar esse texto V +As fixtures do pytest, por padrão, são executadas todas às vezes em que uma função de teste recebe a fixture como argumento: -Na configuração padrão, as fixtures tradicionais do pytest são executadas em todos os testes que solicitam por elas, em um escopo que chamamos de "função". Mas, existem outros [escopos](https://docs.pytest.org/en/7.1.x/how-to/fixtures.html#fixture-scopes){:target="_blank"} possíveis. Como executar uma vez por módulo, uma vez por classe, e o que nos interessa nesse momento, uma vez por execução de testes. +```py title="código de exemplo" linenums="1" hl_lines="4 7" +@pytest.fixture() +def fixture_de_exemplo(): + # arrange + yield + # teardown -O que vai dizer como e quando a fixture será utilizada é o escopo. O parâmetro `scope` deve ser usado para isso. +def teste_de_exemplo(fixture_de_exemplo): ... +``` ---- +Antes de executar o `teste_de_exemplo`, será executado o código da fixture até a instrução `#!python yield` ser executada. A preparação para o teste (arrange). Quando a função de teste é finalizada, o bloco após o yield é executado. Chamamos ele de "teardown", para desfazer o efeito do "arrage". A volta do ambiente como era antes do "arrange". + +Dizemos que uma fixture "tradicional" tem o escopo de função. Pois ela é iniciada e finalizada em todas as funções de teste. + +Contudo, existem outros [escopos](https://docs.pytest.org/en/latest/how-to/fixtures.html#fixture-scopes){:target="_blank"}, que precisam ser explícitos durante a declaração da fixture, pelo parâmetro `scope`. Existem diversos escopos: + +- `function`: executada em todas as funções de teste; +- `class`: executada uma vez por classe de teste; +- `module`: executada uma vez por módulo; +- `package`: executada uma vez por pacote; +- `session`: executava uma vez por execução dos testes; + +Para resolver o problema com a lentidão dos testes, iremos criar uma fixture para iniciar o container do banco de dados com o escopo `#!python "session"`. + +```mermaid +sequenceDiagram + PytestRunner-->>Fixture: Executa a fixture até o yield + PytestRunner->>Testes: Executa todos os testes + Testes-->>Testes: Executa um teste + PytestRunner-->>Fixture: Executa a fixture depois do yield +``` + +Dessa forma, a fixture é inicializada antes de todos os testes, está disponível durante a execução das funções e é finalizada após a execução de todos os testes. + +#### [NF] Fixture para engine Para resolver o problema da lentidão, vamos criar nova fixture para a `engine`. Ela ficará responsável por criar a conexão persistente com o postgres. O escopo da fixture será `session`. O que quer dizer que o container do banco de dados e a conexão com o mesmo só ocorrerá uma vez durante todos os testes. O container será baixado e iniciado antes de todos os testes e nos fornecerá a `engine` do sqlalchemy já conectada com esse container: ```python title="tests/conftest.py" hl_lines="1 7" -@pytest.fixture(scope='session') #(1)! +@pytest.fixture(scope='session')#(1)! def engine(): with PostgresContainer('postgres:16', driver='psycopg') as postgres: _engine = create_engine(postgres.get_connection_url()) - with _engine.begin(): #(2)! + with _engine.begin():#(2)! yield _engine ``` From 277385dcc03567a1fd208555a84dff2e7ab605c0 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 19:16:16 -0300 Subject: [PATCH 16/20] =?UTF-8?q?[WIP]=20Atualiza=C3=A7=C3=A3o=20do=20t?= =?UTF-8?q?=C3=B3pico=20"fixture=20para=20engine"?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index d9a563fe..7733db9c 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -787,11 +787,10 @@ sequenceDiagram Dessa forma, a fixture é inicializada antes de todos os testes, está disponível durante a execução das funções e é finalizada após a execução de todos os testes. -#### [NF] Fixture para engine +#### Fixture para engine -Para resolver o problema da lentidão, vamos criar nova fixture para a `engine`. Ela ficará responsável por criar a conexão persistente com o postgres. O escopo da fixture será `session`. O que quer dizer que o container do banco de dados e a conexão com o mesmo só ocorrerá uma vez durante todos os testes. +Para resolver o problema da lentidão, vamos criar nova fixture para a `engine` no escopo `session`. Ela ficará responsável por iniciar o container (arrange), criar a conexão persistente com o postgres (yield) e desfazer o container após a execução de todos os testes (teardown): -O container será baixado e iniciado antes de todos os testes e nos fornecerá a `engine` do sqlalchemy já conectada com esse container: ```python title="tests/conftest.py" hl_lines="1 7" @pytest.fixture(scope='session')#(1)! @@ -802,7 +801,6 @@ def engine(): with _engine.begin():#(2)! yield _engine - ``` 1. fixture sendo definida com o escopo `#!python 'session'`. @@ -812,7 +810,7 @@ Desta forma, por consequência, não iremos mais definir a engine na fixture de ```python title="tests/conftest.py" hl_lines="2" @pytest.fixture() -def session(engine): #(1)! +def session(engine):#(1)! table_registry.metadata.create_all(engine) with Session(engine) as session: From a6638a32ed8734abb162cfc7ff7783b163c1c8e0 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 19:18:00 -0300 Subject: [PATCH 17/20] =?UTF-8?q?[WIP]=20Removendo=20o=20t=C3=B3pico=20exe?= =?UTF-8?q?cutando=20os=20testes=20no=20Postgresql?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 81 ----------------------------------------------------- 1 file changed, 81 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index 7733db9c..6e099b00 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -895,87 +895,6 @@ docker-compose down ``` Assim tendo o ambiente limpo novamente. - -### Executando os testes no PostgreSQL - -> WIP: Alterar esse tópico. Ele está previamente contemplado do tópico de containers - -Embora nosso `docker-compose` esteja configurado para levantar o banco de dados PostgreSQL ao executar os testes, é importante ressaltar que o container do PostgreSQL não está sendo utilizado durante a execução dos testes. Isso acontece porque a fixture responsável por criar a sessão do banco de dados está com as instruções "hardcoded" para o SQLite, como no código abaixo: - -```py title="tests/conftest.py" linenums="1" hl_lines="3-7" -@pytest.fixture() -def session(): - engine = create_engine( - 'sqlite:///:memory:', - connect_args={'check_same_thread': False}, - poolclass=StaticPool, - ) - table_registry.metadata.create_all(engine) - - with Session(engine) as session: - yield session - - table_registry.metadata.drop_all(engine) -``` - -Por conta disso, os testes são executados no SQLite, mesmo com a presença do PostgreSQL no ambiente do Docker. - -No entanto, é importante que os testes sejam executados no mesmo ambiente que o que rodará em produção, para não encontrarmos problemas relacionados a incompatibilidade de operações no banco de dados. A alteração é relativamente simples, temos que tornar a nossa fixture o mais próximo possível do cliente da sessão de produção. Para fazer isso, precisamos alterar somente a chamada `create_engine` para carregar a varável de ambiente do banco de dados de testes. Desta forma: - - -```py title="tests/conftest.py" linenums="1" hl_lines="9 17" -import pytest -from fastapi.testclient import TestClient -from sqlalchemy import create_engine -from sqlalchemy.orm import Session - -from fast_zero.app import app -from fast_zero.database import get_session -from fast_zero.models import table_registry -from fast_zero.settings import Settings -from fast_zero.security import get_password_hash -from tests.factories import UserFactory - - -@pytest.fixture() -def session(): - engine = create_engine(Settings().DATABASE_URL) - table_registry.metadata.create_all(engine) - - with Session(engine) as session: - yield session - session.rollback() - - table_registry.metadata.drop_all(engine) -``` - -Com essa modificação, agora estamos apontando para o banco de dados PostgreSQL, conforme definido nas configurações da nossa aplicação (`Settings().DATABASE_URL`). A transição do SQLite para o PostgreSQL é facilitada pela abstração fornecida pelo SQLAlchemy, que nos permite mudar de um banco para outro sem problemas. É importante notar que essa flexibilidade se deve ao fato de não termos utilizado recursos específicos do PostgreSQL que não são suportados pelo SQLite. Caso contrário, a mudança poderia não ser tão direta. - -Agora, com a nova configuração, os testes utilizarão o PostgreSQL, proporcionando um ambiente de testes mais fiel ao ambiente de produção e, consequentemente, aumentando a confiabilidade dos testes executados: - -```shell title="$ Execução no terminal!" -docker-compose run --entrypoint="poetry run task test" fastzero_app - -# resultado esperado -docker-compose run --entrypoint="poetry run task test" fastzero_app -[+] Building 0.0s (0/0) docker:default -[+] Creating 1/0 - ✔ Container 09-fastzero_database-1 Running 0.0s -[+] Building 0.0s (0/0) docker:default - -======================= test session starts ======================= -platform linux - Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 - /app/.venv/bin/python -cachedir: .pytest_cache -rootdir: /app -configfile: pyproject.toml -plugins: cov-4.1.0, anyio-4.1.0, Faker-20.1.0 -collected 27 items - -tests/test_app.py::test_root_deve_retornar_ok_e_ola_mundo PASSED -``` - -Dessa forma temos um ambiente mais coeso e podemos reproduzir nossas configurações de forma bastante simples em qualquer ambiente. - ## Commit Após criar nosso arquivo `Dockerfile` e `compose.yaml`, executar os testes e construir nosso ambiente, podemos fazer o commit das alterações no Git: From 0c088280c769feab0400a1e7433a5d84e6b330f3 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 20:04:14 -0300 Subject: [PATCH 18/20] FIX: tasks.py --- tasks.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tasks.py b/tasks.py index 19b1c44c..e7af350a 100644 --- a/tasks.py +++ b/tasks.py @@ -47,12 +47,12 @@ @contextmanager def env_file(path: Path): - with open(path / '.env', 'w', encoding='urf-8') as file: + with open(path / '.env', 'w', encoding='utf-8') as file: file.write(fake_dotenv) yield - with open(path / '.env', 'w', encoding='urf-8') as file: + with open(path / '.env', 'w', encoding='utf-8') as file: file.write(dotenv) From 5ac693025bd7c8a140be1c06634e3ab5b89ee105 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 20:12:39 -0300 Subject: [PATCH 19/20] =?UTF-8?q?[WIP]=20Removendo=20a=20execu=C3=A7=C3=A3?= =?UTF-8?q?o=20dos=20testes=20rodando=20no=20docker?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 68 ++++------------------------------------------------- 1 file changed, 5 insertions(+), 63 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index 6e099b00..994f06ca 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -831,76 +831,18 @@ task test ========= 28 passed in 7.96s ========= ``` -Com o container sendo iniciado somente uma vez, o tempo total de execução dos testes caiu para `7.96s`, em comparação com os 80 segundos que tínhamos antes. +Com o container sendo iniciado somente uma vez, o tempo total de execução dos testes caiu para `7.96s`, em comparação com os 80 segundos que tínhamos antes. Um tempo de feedback aceitável para execução de testes. -Agora temos um tempo de feedback aceitável para execução de testes. - -### Executando os testes via docker - -> WIP: Verificar o que deve ser alterado nesse tópico em relação ao que foi inserido no anterior - -Agora que temos o `docker-compose` configurado, realizar testes tornou-se uma tarefa simplificada. Podemos executar toda a suíte de testes com um único comando, sem a necessidade de ajustes adicionais ou configurações complexas. Isso é possível devido à maneira como o `docker-compose` gerencia os serviços e suas dependências. - -Para executar os testes, utilizamos o comando: - -```shell title="$ Execução no terminal!" -docker-compose run --entrypoint="poetry run task test" fastzero_app -``` - -Vamos entender melhor o que cada parte do comando faz: - -- `docker-compose run`: este comando executa um serviço único definido no seu arquivo `compose.yaml`. Ao contrário do `docker-compose up`, que inicia todos os serviços, o `run` permite que você inicie um serviço específico. - -- `--entrypoint`: a flag `--entrypoint` substitui o ponto de entrada padrão do container. O ponto de entrada padrão é especificado no `Dockerfile` ou no `compose.yaml` e é normalmente o comando que inicia sua aplicação. Ao substituir o entrypoint, você pode executar comandos diferentes, como neste caso, onde queremos rodar nossos testes. - -- `"poetry run task test"`: este é o comando que substituirá o entrypoint padrão. Ele diz ao Docker para iniciar o container e executar a nossa suíte de testes com o Poetry, uma ferramenta para gerenciamento de dependências e pacotes em Python. - -- `fastzero_app`: este é o nome do serviço que definimos no `compose.yaml`. É o serviço que contém a nossa aplicação FastAPI e onde nossos testes serão executados. - -Ao utilizar esse comando, o Docker Compose cuidará de iniciar os serviços dos quais `fastzero_app` depende, neste caso, o serviço `fastzero_database` do PostgreSQL. Isso é importante porque nossos testes podem depender de um banco de dados ativo para funcionar corretamente. O Compose garante que a ordem de inicialização dos serviços seja respeitada e que o serviço do banco de dados esteja pronto antes de iniciar os testes. - -Se executarmos o comando, vemos que ele inicia o banco de dados, inicia o container da aplicação e na sequência executa o comando que passamos no `--entrypoint` que é exatamente como executar os testes: - -```shell title="$ Execução no terminal!" -docker-compose run --entrypoint="poetry run task test" fastzero_app - -# Resulado esperado -[+] Building 0.0s (0/0) docker:default -[+] Creating 2/2 - ✔ Network default Created 0.1s - ✔ Container fastzero_database-1 Created 0.1s -[+] Running 1/1 - ✔ Container fastzero_database-1 Started 0.3s -[+] Building 0.0s (0/0) docker:default - -================ test session starts ================ -platform linux - Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 - /app/.venv/bin/python -cachedir: .pytest_cache -rootdir: /app -configfile: pyproject.toml -plugins: cov-4.1.0, anyio-4.1.0, Faker-20.1.0 -collected 27 items - -tests/test_app.py::test_root_deve_retornar_ok_e_ola_mundo PASSED -... -``` - -É importante notar que, embora o `docker-compose run` inicie as dependências necessárias para a execução do serviço especificado, ele não finaliza essas dependências após a conclusão do comando. Isso significa que após a execução dos testes, o serviço do banco de dados continuará ativo. Você precisará finalizá-lo manualmente com `docker-compose down` para encerrar todos os serviços e limpar o ambiente: +--- -```shell title="$ Execução no terminal!" -docker-compose down -[+] Running 2/2 - ✔ Container 09-fastzero_database-1 Removed 0.4s - ✔ Network 09_default Removed -``` +Desta forma temos uma separação do nosso container postgres de desenvolvimento, do container usado pelos testes. Fazendo com que a execução dos testes não remova os dados inseridos durante o desenvolvimento da aplicação. -Assim tendo o ambiente limpo novamente. ## Commit -Após criar nosso arquivo `Dockerfile` e `compose.yaml`, executar os testes e construir nosso ambiente, podemos fazer o commit das alterações no Git: +Para finalizar, após criar nosso arquivo `Dockerfile` e `compose.yaml`, executar os testes e construir nosso ambiente, podemos fazer o commit das alterações no Git: 1. Adicionando todos os arquivos modificados nessa aula com `git add .` -2. Faça o commit das alterações com `git commit -m "Dockerizando nossa aplicação e alterando os testes para serem executados no PostgreSQL"` +2. Faça o commit das alterações com `git commit -m "Dockerizando nossa aplicação e inserindo o PostgreSQL"` 3. Envie as alterações para o repositório remoto com `git push` ## Conclusão From 67ad5cfd25dd2d9a44acd917892ddf3f595be3f1 Mon Sep 17 00:00:00 2001 From: dunossauro Date: Tue, 4 Jun 2024 20:16:02 -0300 Subject: [PATCH 20/20] =?UTF-8?q?[WIP]=20Corre=C3=A7=C3=B5es=20de=20grafia?= =?UTF-8?q?=20na=20aula=2010?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit related #161 --- aulas/10.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/aulas/10.md b/aulas/10.md index 994f06ca..a96e84aa 100644 --- a/aulas/10.md +++ b/aulas/10.md @@ -70,7 +70,7 @@ Aqui está um exemplo de `Dockerfile` para executar nossa aplicação: Vamos entender melhor esse último comando: -- `poetry run` define o comando que será executado dentro do ambiente virtual criado pelo Poetry. +- `poetry run` define o comando que será executado no ambiente virtual criado pelo Poetry. - `uvicorn` é o servidor ASGI que usamos para rodar nossa aplicação. - `--host` define o host que o servidor escutará. Especificamente, `"0.0.0.0"` é um endereço IP que permite que o servidor aceite conexões de qualquer endereço de rede disponível, tornando-o acessível externamente. - `fast_zero.app:app` define o `:` que o servidor executará. @@ -112,7 +112,7 @@ Para executar o contêiner, usamos o comando `docker run`. Especificamos o nome docker run -it --name fastzeroapp -p 8000:8000 fast_zero:latest ``` -Este comando iniciará nossa aplicação dentro de um contêiner Docker, que estará escutando na porta 8000. Para testar se tudo está funcionando corretamente, você pode acessar `http://localhost:8000` em um navegador ou usar um comando como: +Este comando iniciará nossa aplicação em um contêiner Docker, que estará escutando na porta 8000. Para testar se tudo está funcionando corretamente, você pode acessar `http://localhost:8000` em um navegador ou usar um comando como: ```shell title="$ Execução no terminal!" curl http://localhost:8000 @@ -785,7 +785,7 @@ sequenceDiagram PytestRunner-->>Fixture: Executa a fixture depois do yield ``` -Dessa forma, a fixture é inicializada antes de todos os testes, está disponível durante a execução das funções e é finalizada após a execução de todos os testes. +Dessa forma, a fixture é inicializada antes de todos os testes, está disponível durante a execução das funções, sendo finalizada após a execução de todos os testes. #### Fixture para engine @@ -847,4 +847,4 @@ Para finalizar, após criar nosso arquivo `Dockerfile` e `compose.yaml`, executa ## Conclusão -Dockerizar nossa aplicação FastAPI, junto com o PostgreSQL, nos permite garantir consistência em diferentes ambientes. A combinação de Docker e Docker Compose simplifica o processo de desenvolvimento e implantação. Na próxima aula, aprenderemos como levar nossa aplicação para o próximo nível executando os testes de forma remota com a integração contínua do GitHub Actions. +Dockerizar nossa aplicação FastAPI, com o PostgreSQL, nos permite garantir consistência em diferentes ambientes. A combinação de Docker e Docker Compose simplifica o processo de desenvolvimento e implantação. Na próxima aula, aprenderemos como levar nossa aplicação para o próximo nível executando os testes de forma remota com a integração contínua do GitHub Actions.