Гений чел с ютуба, посмотрим получится или нет
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.dockeringore
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.dockeringore
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venv
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Dockerfile
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tasks.db
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166
.gitignore
vendored
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.gitignore
vendored
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# ---> Python
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venv
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# Byte-compiled / optimized / DLL files
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tasks.db
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__pycache__/
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.idea
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*.py[cod]
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__pycache__
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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14
Dockerfile
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Dockerfile
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FROM python:3.11-slim
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COPY ../../../../../AppData/Local/Temp .
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RUN pip install -r requirements.txt
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"]
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# Для запуска введите две команды:
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# docker build . --tag fastapi_app
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# docker run -p 80:80 fastapi_app
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# Или одной командой
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# docker build . --tag fastapi_app && docker run -p 80:80 fastapi_app
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30
database.py
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database.py
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from typing import Optional
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
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engine = create_async_engine("sqlite+aiosqlite:///tasks.db")
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new_session = async_sessionmaker(engine, expire_on_commit=False)
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class Model(DeclarativeBase):
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pass
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class TaskOrm(Model):
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__tablename__ = "tasks"
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id: Mapped[int] = mapped_column(primary_key=True)
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name: Mapped[str]
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description: Mapped[Optional[str]]
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async def create_tables():
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# https://docs.sqlalchemy.org/en/20/orm/extensions/asyncio.html#synopsis-core
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async with engine.begin() as conn:
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await conn.run_sync(Model.metadata.create_all)
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async def delete_tables():
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async with engine.begin() as conn:
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await conn.run_sync(Model.metadata.drop_all)
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main.py
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main.py
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from fastapi import FastAPI
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from contextlib import asynccontextmanager
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from database import create_tables, delete_tables
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from router import router as tasks_router
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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await delete_tables()
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print("База очищена")
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await create_tables()
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print("База готова к работе")
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yield
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print("Выключение")
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app = FastAPI(lifespan=lifespan)
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app.include_router(tasks_router)
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repository.py
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repository.py
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from sqlalchemy import select
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from database import new_session, TaskOrm
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from schemas import STaskAdd, STask
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class TaskRepository:
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@classmethod
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async def add_one(cls, data: STaskAdd) -> int:
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async with new_session() as session:
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task_dict = data.model_dump()
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task = TaskOrm(**task_dict)
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session.add(task)
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await session.flush()
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await session.commit()
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return task.id
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@classmethod
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async def find_all(cls) -> list[STask]:
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async with new_session() as session:
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query = select(TaskOrm)
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result = await session.execute(query)
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task_models = result.scalars().all()
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task_schemas = [STask.model_validate(task_model) for task_model in task_models]
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return task_schemas
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BIN
requirements.txt
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BIN
requirements.txt
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router.py
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router.py
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from typing import Annotated
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from fastapi import APIRouter, Depends
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from repository import TaskRepository
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from schemas import STaskAdd, STask, STaskId
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router = APIRouter(
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prefix="/tasks",
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tags=["Таски"],
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)
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@router.post("")
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async def add_task(
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task: Annotated[STaskAdd, Depends()],
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) -> STaskId:
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task_id = await TaskRepository.add_one(task)
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return {"ok": True, "task_id": task_id}
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@router.get("")
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async def get_tasks() -> list[STask]:
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tasks = await TaskRepository.find_all()
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return tasks
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schemas.py
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schemas.py
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from typing import Optional
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from pydantic import BaseModel, ConfigDict
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class STaskAdd(BaseModel):
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name: str
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description: Optional[str] = None
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class STask(STaskAdd):
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id: int
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model_config = ConfigDict(from_attributes=True)
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class STaskId(BaseModel):
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ok: bool = True
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task_id: int
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