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        "description": "# repka\n\nPython repository pattern implementation\n\n## Installation\n\nVia pip:\n\n```\npip install repka\n```\n\nVia poetry:\n\n```\npoetry add repka\n```\n\n\n## Usage\n\n```python\nfrom typing import Any\nimport sqlalchemy as sa\nfrom aiopg.sa import create_engine\nfrom repka.api import BaseRepository, IdModel\n\n# Define SA table\nmetadata = sa.MetaData()\ntransactions_table = sa.Table(\n    \"transactions\",\n    metadata,\n    sa.Column(\"id\", sa.Integer, primary_key=True, autoincrement=True),\n    ...\n)\n\n# Define pydantic model\nclass Transaction(IdModel):\n    ...\n\n\n# Define repository\nclass TransactionRepo(BaseRepository):\n    table = transactions_table\n\n    def deserialize(self, **kwargs: Any) -> Transaction:\n        return Transaction(**kwargs)\n\n# Create SA connection\nconnection_params = dict(user='aiopg', database='aiopg', host='127.0.0.1', password='passwd')\nasync with create_engine(**connection_params) as engine:\n    async with engine.acquire() as conn:\n        # Instantiate repository \n        repo = TransactionRepo(conn)\n        # Now you can use the repo\n        # Here we select first matching row from table and convert it to model\n        transaction = await repo.first(transactions_table.c.id == 1)\n\n```\n\n\n## Tests \n\nTo run tests:\n\n1. Setup [database url](https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls) via `DATABASE_URL` environment variable  \n\n**WARNING:** Every test run will drop all tables from db\n\n2. Run tests via `pytest`\n\n## Contribution\n\n1. Create fork/branch for new feature/fix/whatever\n\n2. Install pre-commit hooks: `pre-commit install` (for manual pre-commit run use`pre-commit run -a`)\n\n3. When you done create pull request and wait for approval\n",
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