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Usage

version: "2"
plugins:
  - name: py
    wasm:
      url: https://downloads.sqlc.dev/plugin/sqlc-gen-python_1.3.0.wasm
      sha256: fbedae96b5ecae2380a70fb5b925fd4bff58a6cfb1f3140375d098fbab7b3a3c
sql:
  - schema: "schema.sql"
    queries: "query.sql"
    engine: postgresql
    codegen:
      - out: src/authors
        plugin: py
        options:
          package: authors
          emit_sync_querier: true
          emit_async_querier: true

Drivers and SQLite

Option: driver

The default driver is sqlalchemy, which preserves the existing PostgreSQL output and accepts SQLAlchemy Connection and AsyncConnection objects.

Set driver: dbapi for SQLite connections that execute raw SQL with qmark parameters:

sql:
  - schema: "schema.sql"
    queries: "query.sql"
    engine: sqlite
    codegen:
      - out: src/records
        plugin: py
        options:
          package: records
          driver: dbapi
          emit_async_querier: true

The generated async querier accepts any object that structurally implements:

class AsyncConnection:
    async def execute(
        self,
        sql: str,
        parameters: tuple[Any, ...],
        /,
    ) -> MaterializedCursor: ...

class MaterializedCursor:
    @property
    def rowcount(self) -> int: ...

    def fetchone(self) -> Sequence[Any] | None: ...
    def fetchall(self) -> Sequence[Sequence[Any]]: ...

With emit_sync_querier, the equivalent connection has a synchronous execute method. Cursor fetches are synchronous in both modes because the cursor is expected to be materialized by execute. Generated methods never commit or roll back; transaction ownership remains with the caller. The connection arguments are positional-only, so implementations may use different parameter names. rowcount is a read-only property, matching standard SQLite cursor implementations.

SQLite numbered parameters are emitted as positional ? placeholders and passed as tuples. Repeated placeholders repeat the value in the tuple while remaining one argument in the generated method. SQLite declared types use affinity-based annotations:

SQLite affinity Python annotation
INTEGER int
TEXT str
REAL float
explicitly declared BLOB bytes
NUMERIC, undeclared, or unknown Any

Nullability is represented with Optional as it is for PostgreSQL. For :execrows statements with RETURNING, generated methods consume the returned rows before reading rowcount, as required by Python's sqlite3. driver: dbapi currently requires engine: sqlite; unsupported combinations fail generation with a descriptive error.

Emit Pydantic Models instead of dataclasses

Option: emit_pydantic_models

By default, sqlc-gen-python will emit dataclasses for the models. If you prefer to use pydantic models, you can enable this option.

with emit_pydantic_models

from pydantic import BaseModel

class Author(pydantic.BaseModel):
    id: int
    name: str

without emit_pydantic_models

import dataclasses

@dataclasses.dataclass()
class Author:
    id: int
    name: str

Use enum.StrEnum for Enums

Option: emit_str_enum

enum.StrEnum was introduce in Python 3.11.

enum.StrEnum is a subclass of str that is also a subclass of Enum. This allows for the use of Enum values as strings, compared to strings, or compared to other enum.StrEnum types.

This is convenient for type checking and validation, as well as for serialization and deserialization.

By default, sqlc-gen-python will emit (str, enum.Enum) for the enum classes. If you prefer to use enum.StrEnum, you can enable this option.

with emit_str_enum

class Status(enum.StrEnum):
    """Venues can be either open or closed"""
    OPEN = "op!en"
    CLOSED = "clo@sed"

without emit_str_enum (current behavior)

class Status(str, enum.Enum):
    """Venues can be either open or closed"""
    OPEN = "op!en"
    CLOSED = "clo@sed"

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