fastapi-sqlalchemy-query-builder 1.0.1

A library for building SQLAlchemy queries with support for advanced filtering, sorting, text search, field and relationship selection, pagination, and model to Pydantic schema mapping

FastAPI Query Builder

A library for building SQLAlchemy queries with support for advanced filtering, sorting, text search, field and relationship selection, pagination, and model to Pydantic schema mapping.

Features

• Advanced Filtering: Support for multiple operators (eq, neq, lt, lte, gt, gte, in, notin, like, ilike, isnull, contains, startswith, endswith)
• Sorting: Sorting by local fields and relationships
• Text Search: Case-insensitive search in specific fields
• Field Selection: Granular control of which fields and relationships to load
• Pagination: Native pagination support
• Mapping: Automatic mapping between SQLAlchemy models and Pydantic schemas
• Multi-tenant: Automatic tenant filtering support
• Soft Delete: Native soft delete support
• Customizable: Install and modify the code locally like shadcn/ui

Installation

Option 1: Install and Initialize (Recommended)

This approach gives you full control over the code, similar to shadcn/ui:

# Install the package
pip install fastapi-query-builder

# Initialize in your project (creates a local copy you can modify)
query-builder init

This will create a query_builder/ directory in your project with all the source code that you can customize as needed.

Option 2: Direct Import

pip install fastapi-query-builder

Then import directly:

from query_builder import QueryBuilder, BaseService, BaseMapper, BaseUseCase

Usage

With Local Installation (Recommended)

After running query-builder init, you'll have a local query_builder/ directory:

# Import from your local copy
from query_builder import QueryBuilder, BaseService, BaseMapper, BaseUseCase
from your_models import User
from your_schemas import UserCreate, UserUpdate, UserView

# Get relationship mapping dynamically
from query_builder.utils import get_dynamic_relations_map
relationship_map = get_dynamic_relations_map(User)

# Configure the service
user_service = BaseService(
    model_class=User,
    entity_name="user",
    relationship_map=relationship_map,
    generic_schema=UserView,
    searchable_fields=["name", "email", "profile.bio"]
)

# Configure the mapper
user_mapper = BaseMapper(
    model_class=User,
    view_class=UserView,
    entity_name="user",
    relationship_map={
        'profile': {
            'mapper': profile_mapper.map_to_view,
            'is_list': False,
            'model_class': Profile
        }
    }
)

# Configure the use case
user_use_case = BaseUseCase(
    service=user_service,
    entity_name="user",
    map_to_view=user_mapper.map_to_view,
    map_list_to_view=user_mapper.map_list_to_view
)

CLI Commands

# Initialize query_builder in your project
query-builder init

# Initialize in a custom directory
query-builder init --dir my_query_builder

# Update your local installation (preserves custom files)
query-builder update

Example Endpoint

from fastapi import APIRouter, Depends, Query
from starlette.datastructures import QueryParams
from query_builder import QueryBuilder

router = APIRouter()
query_builder = QueryBuilder()

@router.get("/users")
async def get_users(
    db: Session = Depends(get_db),
    skip: int = Query(0, ge=0),
    limit: int = Query(100, ge=1, le=1000),
    search: Optional[str] = Query(None),
    sort_by: Optional[str] = Query(None),
    sort_dir: Optional[Literal["asc", "desc"]] = Query("asc"),
    include: Optional[List[str]] = Query(None),
    select_fields: Optional[str] = Query(None),
    query_params: QueryParams = Depends()
):
    # Parse filters from query parameters
    filter_params = query_builder.parse_filters(query_params)
    
    # Get users with all operations
    result = await user_use_case.get_all(
        db=db,
        skip=skip,
        limit=limit,
        include=include,
        filter_params=filter_params,
        sort_by=sort_by,
        sort_dir=sort_dir,
        search=search,
        select_fields=select_fields
    )
    
    return result

Filter Syntax

Supported Operators

• eq: Equal to
• neq: Not equal to
• lt: Less than
• lte: Less than or equal to
• gt: Greater than
• gte: Greater than or equal to
• in: Is in (list)
• notin: Is not in (list)
• like: Contains (case-sensitive)
• ilike: Contains (case-insensitive)
• isnull: Is null (true/false)
• contains: Contains substring
• startswith: Starts with
• endswith: Ends with

Filter Examples

GET /users?filter[name][eq]=John
GET /users?filter[age][gte]=18&filter[age][lt]=65
GET /users?filter[email][ilike]=@gmail.com
GET /users?filter[status][in]=active,inactive
GET /users?filter[profile.bio][contains]=developer

Selection Syntax

Simple Fields

GET /users?select=id,name,email

Relationships

GET /users?select=id,name,[profile],[roles]

Nested Fields

GET /users?select=id,name,profile.bio,roles.name

Hybrid Syntax

GET /users?select=id,name,profile.bio,[roles].name

Customization

Since you have the source code locally, you can:

1. Modify parsers to add new operators
2. Extend base classes for custom functionality
3. Add new utilities for your specific needs
4. Customize error handling and messages
5. Add new features without waiting for upstream updates

Example Customization

# In your local query_builder/core/filter_parser.py
OPERATOR_MAP = {
    # ... existing operators ...
    'regex': lambda c, v: c.op('~')(v),  # Add regex support
    'date_range': lambda c, v: c.between(v[0], v[1]),  # Add date range
}

Updating

When a new version is released:

# Update the package
pip install --upgrade fastapi-query-builder

# Update your local copy (preserves customizations)
query-builder update

The update command will:

• Backup your custom files
• Update the core library files
• Restore your customizations

Project Structure

After initialization, your project will have:

your-project/
├── query_builder/           # Local copy (customizable)
│   ├── core/               # Core parsers
│   ├── base_classes/       # Base classes
│   ├── utils/              # Utilities
│   ├── exceptions/         # Custom exceptions
│   ├── examples/           # Usage examples
│   └── example_usage.py    # Generated example
├── your_app/
└── requirements.txt

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

License

MIT License - see LICENSE file for details.

Support

• GitHub Issues: Bug reports and feature requests
• GitHub Discussions: Community questions
• Documentation: Check the examples/ directory