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base

Database controller components for modular database operations.

Modules:

  • base_controller

    Main BaseController that composes all specialized controllers with lazy initialization.

  • bulk

    Bulk operations for database controllers.

  • crud

    Core CRUD operations for database controllers.

  • filters

    Shared filter utilities for database controllers.

  • pagination

    Pagination operations for database controllers.

  • performance

    Performance analysis for database controllers.

  • query

    Query operations for database controllers.

  • transaction

    Transaction management for database controllers.

  • upsert

    Upsert operations for database controllers.

Classes:

  • BaseController

    Composed database controller with lazy-loaded specialized operations.

Classes

BaseController

Python
BaseController(model: type[ModelT], db: DatabaseService | None = None)

Composed database controller with lazy-loaded specialized operations.

This controller delegates operations to specialized controllers while maintaining backward compatibility with the original BaseController API. Core CRUD and Query controllers are eagerly initialized, while specialized controllers (pagination, bulk, transaction, performance, upsert) use lazy initialization to reduce overhead for simple use cases.

Initialize the base controller with lazy-loaded specialized controllers.

Parameters:

  • model (type[ModelT]) –

    The SQLModel class to perform operations on.

  • db (DatabaseService | None, default: None ) –

    The database service instance. Must be provided.

Raises:

  • RuntimeError

    If db is None, as database service is required.

Methods:

Attributes:

Attributes

db_service property
Python
db_service: DatabaseService

Database service property for test compatibility.

Returns:

model_class property
Python
model_class: type[ModelT]

Model class property for test compatibility.

Returns:

  • type[ModelT]

    The SQLModel class.

Functions

_get_pagination
Python
_get_pagination() -> PaginationController[ModelT]

Get or create pagination controller.

Returns:

_get_bulk
Python
_get_bulk() -> BulkOperationsController[ModelT]

Get or create bulk operations controller.

Returns:

_get_transaction
Python
_get_transaction() -> TransactionController[ModelT]

Get or create transaction controller.

Returns:

_get_performance
Python
_get_performance() -> PerformanceController[ModelT]

Get or create performance controller.

Returns:

_get_upsert
Python
_get_upsert() -> UpsertController[ModelT]

Get or create upsert controller.

Returns:

create async
Python
create(**kwargs: Any) -> ModelT

Create a new record.

Returns:

  • ModelT

    The newly created record.

get_by_id async
Python
get_by_id(record_id: Any) -> ModelT | None

Get a record by ID.

Returns:

  • ModelT | None

    The record if found, None otherwise.

update_by_id async
Python
update_by_id(record_id: Any, **values: Any) -> ModelT | None

Update a record by ID.

Returns:

  • ModelT | None

    The updated record, or None if not found.

delete_by_id async
Python
delete_by_id(record_id: Any) -> bool

Delete a record by ID.

Returns:

  • bool

    True if deleted successfully, False otherwise.

exists async
Python
exists(filters: Any) -> bool

Check if a record exists.

Returns:

  • bool

    True if record exists, False otherwise.

find_one async
Python
find_one(filters: Any | None = None, order_by: Any | None = None) -> ModelT | None

Find one record.

Returns:

  • ModelT | None

    The found record, or None if not found.

find_all async
Python
find_all(
    filters: Any | None = None,
    order_by: Any | None = None,
    limit: int | None = None,
    offset: int | None = None,
) -> list[ModelT]

Find all records with performance optimizations.

Returns:

  • list[ModelT]

    List of found records.

find_all_with_options async
Python
find_all_with_options(
    filters: Any | None = None,
    order_by: Any | None = None,
    limit: int | None = None,
    offset: int | None = None,
    load_relationships: list[str] | None = None,
) -> list[ModelT]

Find all records with relationship loading options.

Returns:

  • list[ModelT]

    List of found records with loaded relationships.

count async
Python
count(filters: Any | None = None) -> int

Count records.

Returns:

  • int

    The count of matching records.

get_all async
Python
get_all(filters: Any | None = None, order_by: Any | None = None) -> list[ModelT]

Get all records (alias for find_all without pagination).

Returns:

  • list[ModelT]

    List of all matching records.

execute_query async
Python
execute_query(query: Any) -> Any

Execute a custom query.

Returns:

  • Any

    The query result.

find_with_json_query async
Python
find_with_json_query(
    json_column: str, json_path: str, value: Any, filters: Any | None = None
) -> list[ModelT]

Find records using JSON column queries.

Returns:

  • list[ModelT]

    List of records matching the JSON query.

find_with_array_contains async
Python
find_with_array_contains(
    array_column: str, value: Any, filters: Any | None = None
) -> list[ModelT]

Find records where array column contains value.

Returns:

  • list[ModelT]

    List of records with matching array values.

Python
find_with_full_text_search(
    search_columns: list[str], search_term: str, filters: Any | None = None
) -> list[ModelT]

Find records using full-text search.

Returns:

  • list[ModelT]

    List of records matching the search term.

paginate async
Python
paginate(
    page: int = 1,
    per_page: int = 20,
    filters: Any | None = None,
    order_by: Any | None = None,
) -> PaginationResult[ModelT]

Paginate records with metadata.

Returns:

  • PaginationResult[ModelT]

    Pagination result with items, total, and page info.

find_paginated async
Python
find_paginated(
    page: int = 1,
    per_page: int = 20,
    filters: Any | None = None,
    order_by: Any | None = None,
    load_relationships: list[str] | None = None,
) -> PaginationResult[ModelT]

Find paginated records with relationship loading.

Returns:

  • PaginationResult[ModelT]

    Pagination result with items and relationships loaded.

bulk_create async
Python
bulk_create(items: list[dict[str, Any]]) -> list[ModelT]

Create multiple records in bulk.

Returns:

  • list[ModelT]

    List of created records.

bulk_update async
Python
bulk_update(updates: list[tuple[Any, dict[str, Any]]]) -> int

Update multiple records in bulk.

Returns:

  • int

    Number of records updated.

bulk_delete async
Python
bulk_delete(record_ids: list[Any]) -> int

Delete multiple records in bulk.

Returns:

  • int

    Number of records deleted.

update_where async
Python
update_where(filters: Any, values: dict[str, Any]) -> int

Update records matching filters.

Returns:

  • int

    Number of records updated.

delete_where async
Python
delete_where(filters: Any) -> int

Delete records matching filters.

Returns:

  • int

    Number of records deleted.

bulk_upsert_with_conflict_resolution async
Python
bulk_upsert_with_conflict_resolution(
    items: list[dict[str, Any]],
    conflict_columns: list[str],
    update_columns: list[str] | None = None,
) -> list[ModelT]

Bulk upsert with conflict resolution.

Returns:

  • list[ModelT]

    List of upserted records.

with_session async
Python
with_session[R](operation: Callable[[Any], Awaitable[R]]) -> R

Execute operation within a session context.

Returns:

  • R

    The result of the operation.

with_transaction async
Python
with_transaction[R](operation: Callable[[Any], Awaitable[R]]) -> R

Execute operation within a transaction context.

Returns:

  • R

    The result of the operation.

execute_transaction async
Python
execute_transaction(callback: Callable[[], Any]) -> Any

Execute a callback within a transaction.

Returns:

  • Any

    The result of the callback.

get_table_statistics async
Python
get_table_statistics() -> dict[str, Any]

Get comprehensive table statistics.

Returns:

  • dict[str, Any]

    Dictionary containing table statistics.

explain_query_performance async
Python
explain_query_performance(
    query: Any, analyze: bool = False, buffers: bool = False
) -> dict[str, Any]

Explain query performance with optional analysis.

Returns:

  • dict[str, Any]

    Dictionary containing query execution plan and statistics.

upsert_by_field async
Python
upsert_by_field(
    field_name: str,
    field_value: Any,
    defaults: dict[str, Any] | None = None,
    **kwargs: Any,
) -> tuple[ModelT, bool]

Upsert a record by a specific field.

Returns:

  • tuple[ModelT, bool]

    Tuple of (record, created) where created is True if new record was created.

upsert_by_id async
Python
upsert_by_id(
    record_id: Any, defaults: dict[str, Any] | None = None, **kwargs: Any
) -> tuple[ModelT, bool]

Upsert a record by ID.

Returns:

  • tuple[ModelT, bool]

    Tuple of (record, created) where created is True if new record was created.

get_or_create_by_field async
Python
get_or_create_by_field(
    field_name: str,
    field_value: Any,
    defaults: dict[str, Any] | None = None,
    **kwargs: Any,
) -> tuple[ModelT, bool]

Get existing record or create new one by field.

Returns:

  • tuple[ModelT, bool]

    Tuple of (record, created) where created is True if new record was created.

get_or_create async
Python
get_or_create(
    defaults: dict[str, Any] | None = None, **filters: Any
) -> tuple[ModelT, bool]

Get existing record or create new one.

Returns:

  • tuple[ModelT, bool]

    Tuple of (record, created) where created is True if new record was created.

upsert async
Python
upsert(
    filters: dict[str, Any], defaults: dict[str, Any] | None = None, **kwargs: Any
) -> tuple[ModelT, bool]

Upsert a record.

Returns:

  • tuple[ModelT, bool]

    Tuple of (record, created) where created is True if new record was created.