# FastAPI QueryBuilder
[](https://pypi.org/project/fastapi-querybuilder/)
**Python 3.8+** | **License: MIT** | **[Tests](#)**
A powerful, flexible query builder for FastAPI applications with SQLAlchemy. Easily add filtering, sorting, and searching capabilities to your API endpoints with minimal code.
📚 **[Documentation →](https://bhadri01.github.io/fastapi-querybuilder/)**
---
## ✨ Features
- **🔍 Advanced Filtering** — JSON-based filters with 15+ comparison and logical operators
- **🔄 Dynamic Sorting** — Sort by any field, including nested relationships with dot notation
- **🔎 Global Search** — Intelligent search across string, enum, integer, and boolean fields
- **🔗 Relationship Support** — Query nested relationships up to any depth (e.g., `user.role.department.name`)
- **📄 Pagination Ready** — Works seamlessly with [fastapi-pagination](https://github.com/uriyyo/fastapi-pagination) out of the box
- **🗑️ Soft Delete Support** — Automatically excludes soft-deleted records when `deleted_at` field exists
- **📅 Smart Date Handling** — Automatic date range processing for date-only strings
- **⚡ High Performance** — Efficient SQLAlchemy query generation with optimized joins
- **🛡️ Type Safe** — Full type hints and comprehensive validation
- **🚨 Error Handling** — Clear, actionable error messages for invalid queries
---
## 📋 Table of Contents
- [Installation](#installation)
- [Quick Start](#quick-start)
- [Complete Usage Guide](#complete-usage-guide)
- [Basic Setup](#basic-setup)
- [Model Configuration](#model-configuration)
- [Filtering](#filtering)
- [Sorting](#sorting)
- [Searching](#searching)
- [Pagination](#pagination)
- [Operator Reference](#operator-reference)
- [Advanced Features](#advanced-features)
- [Real-World Examples](#real-world-examples)
- [Error Handling](#error-handling)
- [Performance Tips](#performance-tips)
- [Contributing](#contributing)
---
## 🚀 Installation
```bash
pip install fastapi-querybuilder
```
**Requirements:**
- Python 3.8+
- FastAPI
- SQLAlchemy 2.0+
- Pydantic
---
## ⚡ Quick Start
### 1. Basic Setup
```python
from fastapi import FastAPI, Depends
from fastapi-querybuilder.dependencies import QueryBuilder
from sqlalchemy.ext.asyncio import AsyncSession
app = FastAPI()
@app.get("/users")
async def get_users(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db)
):
result = await session.execute(query)
return result.scalars().all()
```
### 2. Instant API Capabilities
Your endpoint now automatically supports:
```bash
# Advanced filtering
GET /users?filters={"name": {"$eq": "John"}, "age": {"$gte": 18}}
# Dynamic sorting
GET /users?sort=name:asc
# Global search
GET /users?search=john
# Combined usage
GET /users?filters={"is_active": {"$eq": true}}&search=admin&sort=created_at:desc
```plaintext
## 📚 Complete Usage Guide
### Basic Setup
#### 1. Define Your Models
```python
from sqlalchemy import String, ForeignKey, DateTime, Boolean, Integer, Enum
from sqlalchemy.orm import Mapped, mapped_column, relationship, declarative_base
from datetime import datetime, timezone
from enum import Enum as PyEnum
Base = declarative_base()
class StatusEnum(str, PyEnum):
ACTIVE = "active"
INACTIVE = "inactive"
SUSPENDED = "suspended"
class Role(Base):
__tablename__ = "roles"
id: Mapped[int] = mapped_column(primary_key=True, index=True)
name: Mapped[str] = mapped_column(String(50), unique=True, nullable=False)
description: Mapped[str] = mapped_column(String(200), nullable=True)
# Relationships
users: Mapped[list["User"]] = relationship("User", back_populates="role")
class User(Base):
__tablename__ = "users"
id: Mapped[int] = mapped_column(primary_key=True, index=True)
name: Mapped[str] = mapped_column(String(100), index=True)
email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
age: Mapped[int] = mapped_column(Integer, nullable=True)
is_active: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False)
status: Mapped[StatusEnum] = mapped_column(String(20), default=StatusEnum.ACTIVE)
created_at: Mapped[datetime] = mapped_column(DateTime, default=lambda: datetime.now(timezone.utc))
updated_at: Mapped[datetime] = mapped_column(DateTime, nullable=True)
deleted_at: Mapped[datetime] = mapped_column(DateTime, nullable=True) # Soft delete
# Foreign Keys
role_id: Mapped[int] = mapped_column(ForeignKey("roles.id"))
# Relationships
role: Mapped["Role"] = relationship("Role", back_populates="users", lazy="selectin")
```
#### 2. Create Your Endpoints
```python
from fastapi import FastAPI, Depends, HTTPException
from fastapi-querybuilder.dependencies import QueryBuilder
from sqlalchemy.ext.asyncio import AsyncSession
from typing import List
app = FastAPI(title="User Management API")
# Basic endpoint with QueryBuilder
@app.get("/users", response_model=List[UserResponse])
async def get_users(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db)
):
"""
Get users with advanced filtering, sorting, and searching.
Query Parameters:
- filters: JSON string for filtering (e.g., {"name": {"$eq": "John"}})
- sort: Sort field and direction (e.g., "name:asc" or "role.name:desc")
- search: Global search term across all searchable fields
"""
try:
result = await session.execute(query)
return result.scalars().all()
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))
# Endpoint with custom parameters
@app.get("/users/advanced")
async def get_users_advanced(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db),
include_inactive: bool = False
):
"""Advanced endpoint with custom business logic"""
if not include_inactive:
# Add custom filter for active users only
query = query.where(User.is_active == True)
result = await session.execute(query)
return result.scalars().all()
```
### Model Configuration
#### Soft Delete Support
If your model has a `deleted_at` field, QueryBuilder automatically excludes soft-deleted records:
```python
class User(Base):
# ... other fields ...
deleted_at: Mapped[datetime] = mapped_column(DateTime, nullable=True)
# QueryBuilder automatically adds: WHERE deleted_at IS NULL
```
#### Searchable Fields
QueryBuilder automatically detects and searches across:
- **String fields**: Case-insensitive ILIKE search
- **Enum fields**: Matches enum values containing the search term
- **Integer fields**: Exact match if search term is numeric
- **Boolean fields**: Matches "true"/"false" strings
```python
# This search will look in: name, email, status (enum), age (if numeric), is_active (if "true"/"false")
GET /users?search=john
```
### Filtering
#### Basic Filtering
```python
# Single condition
GET /users?filters={"name": {"$eq": "John Doe"}}
# Multiple conditions (implicit AND)
GET /users?filters={"age": {"$gte": 18}, "is_active": {"$eq": true}}
# Array values
GET /users?filters={"status": {"$in": ["active", "pending"]}}
```
#### Logical Operators
```python
# OR condition
GET /users?filters={"$or": [{"name": {"$contains": "john"}}, {"email": {"$contains": "john"}}]}
# Complex AND/OR combinations
GET /users?filters={
"$and": [
{"age": {"$gte": 18}},
{
"$or": [
{"status": {"$eq": "active"}},
{"status": {"$eq": "pending"}}
]
}
]
}
```
#### Nested Relationship Filtering
```python
# Filter by relationship field
GET /users?filters={"role.name": {"$eq": "admin"}}
# Deep nesting (if you have department -> company relationship)
GET /users?filters={"role.department.company.name": {"$contains": "Tech"}}
# Multiple relationship conditions
GET /users?filters={
"role.name": {"$eq": "admin"},
"role.description": {"$contains": "management"}
}
```
#### Date Filtering
```python
# Date-only string (matches entire day)
GET /users?filters={"created_at": {"$eq": "2023-12-01"}}
# Equivalent to: created_at >= '2023-12-01 00:00:00' AND created_at < '2023-12-02 00:00:00'
# Exact datetime
GET /users?filters={"created_at": {"$eq": "2023-12-01T10:30:00"}}
# Date ranges
GET /users?filters={"created_at": {"$gte": "2023-01-01", "$lt": "2024-01-01"}}
# Supported date formats:
# - "2023-12-01" (YYYY-MM-DD)
# - "2023-12-01T10:30:00" (ISO format)
# - "2023-12-01 10:30:00" (Space separated)
# - "2023-12-01T10:30:00Z" (UTC)
```
### Sorting
#### Basic Sorting
```python
# Ascending order (default)
GET /users?sort=name:asc
GET /users?sort=name # :asc is optional
# Descending order
GET /users?sort=created_at:desc
# Multiple fields (comma-separated)
GET /users?sort=role.name:asc,created_at:desc
```
#### Relationship Sorting
```python
# Sort by relationship field
GET /users?sort=role.name:asc
# Deep relationship sorting
GET /users?sort=role.department.name:desc
```
### Searching
Global search automatically searches across all compatible fields:
```python
# Simple search
GET /users?search=john
# Search with other parameters
GET /users?search=admin&filters={"is_active": {"$eq": true}}&sort=name:asc
```
**Search Behavior:**
- **String fields**: Case-insensitive partial matching
- **Enum fields**: Matches if any enum value contains the search term
- **Integer fields**: Exact match if search term is a valid number
- **Boolean fields**: Matches if search term is "true" or "false"
### Pagination
#### With fastapi-pagination
```python
from fastapi_pagination import Page, add_pagination, Params
from fastapi_pagination.ext.sqlalchemy import paginate
@app.get("/users/paginated", response_model=Page[UserResponse])
async def get_users_paginated(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db),
params: Params = Depends()
):
return await paginate(session, query, params)
# Don't forget to add pagination to your app
add_pagination(app)
```
#### Usage with Pagination
```python
# Basic pagination
GET /users/paginated?page=1&size=10
# With filtering and sorting
GET /users/paginated?page=2&size=20&filters={"is_active": {"$eq": true}}&sort=name:asc
# With search
GET /users/paginated?page=1&size=50&search=john&sort=created_at:desc
```
## 🔧 Operator Reference
### Comparison Operators
| Operator | Description | Example | SQL Equivalent
|-----|-----|-----|-----
| `$eq` | Equal to | `{"age": {"$eq": 25}}` | `age = 25`
| `$ne` | Not equal to | `{"status": {"$ne": "inactive"}}` | `status != 'inactive'`
| `$gt` | Greater than | `{"age": {"$gt": 18}}` | `age > 18`
| `$gte` | Greater than or equal | `{"age": {"$gte": 21}}` | `age >= 21`
| `$lt` | Less than | `{"age": {"$lt": 65}}` | `age < 65`
| `$lte` | Less than or equal | `{"age": {"$lte": 64}}` | `age <= 64`
| `$in` | In array | `{"status": {"$in": ["active", "pending"]}}` | `status IN ('active', 'pending')`
| `$isanyof` | Is any of (alias for $in) | `{"role": {"$isanyof": ["admin", "user"]}}` | `role IN ('admin', 'user')`
### String Operators
| Operator | Description | Example | SQL Equivalent
|-----|-----|-----|-----
| `$contains` | Contains substring (case-insensitive) | `{"name": {"$contains": "john"}}` | `name ILIKE '%john%'`
| `$ncontains` | Does not contain substring | `{"name": {"$ncontains": "test"}}` | `name NOT ILIKE '%test%'`
| `$startswith` | Starts with | `{"email": {"$startswith": "admin"}}` | `email ILIKE 'admin%'`
| `$endswith` | Ends with | `{"email": {"$endswith": ".com"}}` | `email ILIKE '%.com'`
### Null/Empty Operators
| Operator | Description | Example | SQL Equivalent
|-----|-----|-----|-----
| `$isempty` | Is null or empty | `{"description": {"$isempty": true}}` | `description IS NULL`
| `$isnotempty` | Is not null or empty | `{"description": {"$isnotempty": true}}` | `description IS NOT NULL`
### Logical Operators
| Operator | Description | Example
|-----|-----|-----|-----
| `$and` | Logical AND | `{"$and": [{"age": {"$gte": 18}}, {"is_active": {"$eq": true}}]}`
| `$or` | Logical OR | `{"$or": [{"name": {"$contains": "john"}}, {"email": {"$contains": "john"}}]}`
### Special Cases
#### Empty String Handling
```python
# Empty string is treated as NULL
GET /users?filters={"description": {"$eq": ""}}
# Equivalent to: description IS NULL
```
#### Date Range Processing
```python
# Date-only strings automatically expand to day ranges
GET /users?filters={"created_at": {"$eq": "2023-12-01"}}
# Becomes: created_at >= '2023-12-01 00:00:00' AND created_at < '2023-12-02 00:00:00'
# Time-specific dates are exact matches
GET /users?filters={"created_at": {"$eq": "2023-12-01T10:30:00"}}
# Becomes: created_at = '2023-12-01 10:30:00'
```
## 🚀 Advanced Features
### Custom Query Parameters
Create custom parameter classes for specialized endpoints:
```python
from fastapi-querybuilder.params import QueryParams
from fastapi import Query
from typing import Optional
class AdminQueryParams(QueryParams):
def __init__(
self,
filters: Optional[str] = Query(None, description="JSON filter string"),
sort: Optional[str] = Query(None, description="Sort field:direction"),
search: Optional[str] = Query(None, description="Global search term"),
include_deleted: bool = Query(False, description="Include soft-deleted records"),
admin_only: bool = Query(False, description="Show only admin users")
):
super().__init__(filters, sort, search)
self.include_deleted = include_deleted
self.admin_only = admin_only
@app.get("/admin/users")
async def get_admin_users(
params: AdminQueryParams = Depends(),
session: AsyncSession = Depends(get_db)
):
query = build_query(User, params)
# Custom logic based on additional parameters
if params.admin_only:
query = query.join(Role).where(Role.name == "admin")
if not params.include_deleted:
query = query.where(User.deleted_at.is_(None))
result = await session.execute(query)
return result.scalars().all()
```
### Complex Nested Queries
```python
# Multi-level relationship filtering
GET /users?filters={
"role.department.company.name": {"$eq": "TechCorp"},
"role.department.budget": {"$gte": 100000},
"role.permissions.name": {"$contains": "admin"}
}
# Combining relationship and direct field filters
GET /users?filters={
"$and": [
{"age": {"$gte": 25}},
{"role.name": {"$in": ["admin", "manager"]}},
{
"$or": [
{"email": {"$endswith": "@company.com"}},
{"is_active": {"$eq": true}}
]
}
]
}
```
### Performance Optimization
#### Eager Loading Relationships
```python
class User(Base):
# ... other fields ...
role: Mapped["Role"] = relationship("Role", back_populates="users", lazy="selectin")
# lazy="selectin" prevents N+1 queries when accessing role data
```
#### Index Optimization
```python
class User(Base):
# ... other fields ...
email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
created_at: Mapped[datetime] = mapped_column(DateTime, index=True) # For sorting
is_active: Mapped[bool] = mapped_column(Boolean, index=True) # For filtering
```
### Error Handling and Validation
```python
from fastapi import HTTPException
from fastapi-querybuilder.dependencies import QueryBuilder
@app.get("/users")
async def get_users_with_error_handling(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db)
):
try:
result = await session.execute(query)
return result.scalars().all()
except ValueError as e:
# Invalid JSON in filters
raise HTTPException(status_code=400, detail=f"Invalid filter format: {str(e)}")
except AttributeError as e:
# Invalid field name
raise HTTPException(status_code=400, detail=f"Invalid field: {str(e)}")
except Exception as e:
# Other errors
raise HTTPException(status_code=500, detail="Internal server error")
```
## 🌟 Real-World Examples
### E-commerce User Management
```python
# Find active premium customers who made purchases in the last month
GET /users?filters={
"$and": [
{"is_active": {"$eq": true}},
{"subscription.type": {"$eq": "premium"}},
{"orders.created_at": {"$gte": "2023-11-01"}},
{"orders.status": {"$eq": "completed"}}
]
}&sort=orders.total_amount:desc
# Search for users by email domain and sort by registration date
GET /users?filters={"email": {"$endswith": "@company.com"}}&sort=created_at:desc
# Find users with specific roles and activity status
GET /users?filters={
"$or": [
{"role.name": {"$eq": "admin"}},
{"role.name": {"$eq": "moderator"}}
],
"last_login": {"$gte": "2023-12-01"}
}&search=john
```
### Content Management System
```python
# Find published articles by specific authors in certain categories
GET /articles?filters={
"status": {"$eq": "published"},
"author.role.name": {"$in": ["editor", "admin"]},
"categories.name": {"$contains": "technology"},
"published_at": {"$gte": "2023-01-01"}
}&sort=published_at:desc
# Search for articles with specific tags and minimum view count
GET /articles?filters={
"tags.name": {"$isanyof": ["python", "fastapi", "tutorial"]},
"view_count": {"$gte": 1000}
}&search=beginner&sort=view_count:desc
```
### HR Management System
```python
# Find employees eligible for promotion
GET /employees?filters={
"$and": [
{"years_of_experience": {"$gte": 3}},
{"performance_rating": {"$gte": 4.0}},
{"department.budget_status": {"$eq": "approved"}},
{"last_promotion_date": {"$lt": "2022-01-01"}}
]
}&sort=performance_rating:desc,years_of_experience:desc
# Search for employees in specific locations with certain skills
GET /employees?filters={
"office.city": {"$in": ["New York", "San Francisco", "Austin"]},
"skills.name": {"$contains": "python"}
}&search=senior&sort=hire_date:asc
```
### Multi-tenant SaaS Application
```python
# Find users within a tenant with specific permissions
GET /users?filters={
"tenant_id": {"$eq": 123},
"roles.permissions.name": {"$contains": "billing"},
"subscription.status": {"$eq": "active"}
}&sort=last_login:desc
# Search across multiple tenants (admin view)
GET /admin/users?filters={
"tenant.plan": {"$in": ["enterprise", "professional"]},
"created_at": {"$gte": "2023-01-01"}
}&search=admin&sort=tenant.name:asc,created_at:desc
```
## ❌ Error Handling
### Common Error Types
#### Invalid JSON Format
```python
# Request
GET /users?filters={"name": {"$eq": "John"} # Missing closing brace
# Response
{
"detail": "Invalid filter JSON: Expecting ',' delimiter: line 1 column 25 (char 24)"
}
```
#### Invalid Field Name
```python
# Request
GET /users?filters={"nonexistent_field": {"$eq": "value"}}
# Response
{
"detail": "Invalid filter key: nonexistent_field. Could not resolve attribute 'nonexistent_field' in model 'User'."
}
```
#### Invalid Operator
```python
# Request
GET /users?filters={"name": {"$invalid": "John"}}
# Response
{
"detail": "Invalid operator '$invalid' for field 'name'"
}
```
#### Invalid Sort Field
```python
# Request
GET /users?sort=invalid_field:asc
# Response
{
"detail": "Invalid sort field: invalid_field"
}
```
#### Invalid Date Format
```python
# Request
GET /users?filters={"created_at": {"$eq": "invalid-date"}}
# Response
{
"detail": "Invalid date format: invalid-date"
}
```
### Error Handling Best Practices
```python
from fastapi import HTTPException
from sqlalchemy.exc import SQLAlchemyError
import logging
logger = logging.getLogger(__name__)
@app.get("/users")
async def get_users_with_comprehensive_error_handling(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db)
):
try:
result = await session.execute(query)
return result.scalars().all()
except ValueError as e:
# JSON parsing or validation errors
logger.warning(f"Invalid query parameters: {str(e)}")
raise HTTPException(
status_code=400,
detail=f"Invalid query format: {str(e)}"
)
except AttributeError as e:
# Invalid field or relationship errors
logger.warning(f"Invalid field access: {str(e)}")
raise HTTPException(
status_code=400,
detail=f"Invalid field or relationship: {str(e)}"
)
except SQLAlchemyError as e:
# Database-related errors
logger.error(f"Database error: {str(e)}")
raise HTTPException(
status_code=500,
detail="Database error occurred"
)
except Exception as e:
# Unexpected errors
logger.error(f"Unexpected error: {str(e)}")
raise HTTPException(
status_code=500,
detail="An unexpected error occurred"
)
```
## ⚡ Performance Tips
### 1. Database Indexing
```python
# Add indexes for frequently filtered/sorted fields
class User(Base):
__tablename__ = "users"
# Primary key (automatically indexed)
id: Mapped[int] = mapped_column(primary_key=True)
# Frequently filtered fields
email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
is_active: Mapped[bool] = mapped_column(Boolean, index=True)
status: Mapped[str] = mapped_column(String(20), index=True)
# Frequently sorted fields
created_at: Mapped[datetime] = mapped_column(DateTime, index=True)
name: Mapped[str] = mapped_column(String(100), index=True)
# Foreign keys (automatically indexed in most databases)
role_id: Mapped[int] = mapped_column(ForeignKey("roles.id"))
```
### 2. Relationship Loading
```python
# Use selectin loading for relationships you'll always access
class User(Base):
role: Mapped["Role"] = relationship("Role", lazy="selectin") # Prevents N+1 queries
# Use joined loading for one-to-one relationships
class User(Base):
profile: Mapped["UserProfile"] = relationship("UserProfile", lazy="joined")
# Use lazy loading (default) for relationships you rarely access
class User(Base):
orders: Mapped[list["Order"]] = relationship("Order", lazy="select") # Default
```
### 3. Query Optimization
```python
# Limit result sets when possible
@app.get("/users")
async def get_users(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db),
limit: int = Query(100, le=1000) # Prevent excessive results
):
query = query.limit(limit)
result = await session.execute(query)
return result.scalars().all()
# Use pagination for large datasets
from fastapi_pagination import Page, Params
from fastapi_pagination.ext.sqlalchemy import paginate
@app.get("/users/paginated", response_model=Page[UserResponse])
async def get_users_paginated(
query = QueryBuilder(User),
session: AsyncSession = Depends(get_db),
params: Params = Depends()
):
return await paginate(session, query, params)
```
### 4. Caching Strategies
```python
from functools import lru_cache
import hashlib
import json
# Cache expensive queries
@lru_cache(maxsize=100)
def get_cached_query_result(query_hash: str):
# Implement your caching logic here
pass
@app.get("/users")
async def get_users_with_cache(
filters: str = Query(None),
sort: str = Query(None),
search: str = Query(None),
session: AsyncSession = Depends(get_db)
):
# Create cache key from parameters
cache_key = hashlib.md5(
json.dumps({"filters": filters, "sort": sort, "search": search}).encode()
).hexdigest()
# Try to get from cache first
cached_result = get_cached_query_result(cache_key)
if cached_result:
return cached_result
# Execute query if not cached
query = QueryBuilder(User)(filters=filters, sort=sort, search=search)
result = await session.execute(query)
users = result.scalars().all()
# Cache the result
# ... caching logic ...
return users
```
## 🧪 Testing
### Unit Tests
```python
import pytest
from fastapi.testclient import TestClient
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from your_app import app, get_db, Base
# Test database setup
SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db"
engine = create_engine(SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False})
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
def override_get_db():
try:
db = TestingSessionLocal()
yield db
finally:
db.close()
app.dependency_overrides[get_db] = override_get_db
@pytest.fixture
def client():
Base.metadata.create_all(bind=engine)
with TestClient(app) as c:
yield c
Base.metadata.drop_all(bind=engine)
def test_basic_filtering(client):
# Create test data
response = client.post("/users", json={
"name": "John Doe",
"email": "john@example.com",
"age": 30
})
# Test filtering
response = client.get('/users?filters={"name": {"$eq": "John Doe"}}')
assert response.status_code == 200
data = response.json()
assert len(data) == 1
assert data[0]["name"] == "John Doe"
def test_sorting(client):
# Create test data
users = [
{"name": "Alice", "email": "alice@example.com", "age": 25},
{"name": "Bob", "email": "bob@example.com", "age": 35}
]
for user in users:
client.post("/users", json=user)
# Test sorting
response = client.get("/users?sort=age:asc")
assert response.status_code == 200
data = response.json()
assert data[0]["age"] == 25
assert data[1]["age"] == 35
def test_search(client):
# Create test data
client.post("/users", json={
"name": "John Smith",
"email": "john.smith@example.com"
})
# Test search
response = client.get("/users?search=john")
assert response.status_code == 200
data = response.json()
assert len(data) == 1
assert "john" in data[0]["name"].lower()
def test_error_handling(client):
# Test invalid JSON
response = client.get('/users?filters={"invalid": json}')
assert response.status_code == 400
# Test invalid field
response = client.get('/users?filters={"nonexistent": {"$eq": "value"}}')
assert response.status_code == 400
```
### Integration Tests
```python
def test_complex_query(client):
# Create test data with relationships
role_response = client.post("/roles", json={"name": "admin"})
role_id = role_response.json()["id"]
client.post("/users", json={
"name": "Admin User",
"email": "admin@example.com",
"role_id": role_id,
"is_active": True
})
# Test complex filtering
response = client.get(f'/users?filters={{"role.name": {{"$eq": "admin"}}, "is_active": {{"$eq": true}}}}')
assert response.status_code == 200
data = response.json()
assert len(data) == 1
assert data[0]["role"]["name"] == "admin"
def test_pagination(client):
# Create multiple users
for i in range(25):
client.post("/users", json={
"name": f"User {i}",
"email": f"user{i}@example.com"
})
# Test pagination
response = client.get("/users/paginated?page=1&size=10")
assert response.status_code == 200
data = response.json()
assert len(data["items"]) == 10
assert data["total"] == 25
assert data["page"] == 1
assert data["size"] == 10
```
## 🤝 Contributing
We welcome contributions! Here's how to get started:
### Development Setup
```bash
# Clone the repository
git clone [https://github.com/yourusername/fastapi-querybuilder.git](https://github.com/yourusername/fastapi-querybuilder.git)
cd fastapi-querybuilder
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install development dependencies
pip install -e ".[dev]"
# Install pre-commit hooks
pre-commit install
```plaintext
### Development Dependencies
\`\`\`bash
pip install -e ".[dev]"
# This installs:
# - pytest
# - pytest-cov
# - black
# - isort
# - flake8
# - mypy
# - pre-commit
```
### Running Tests
```bash
# Run all tests
pytest
# Run with coverage
pytest --cov=fastapi-querybuilder --cov-report=html
# Run specific test file
pytest tests/test_filtering.py
# Run with verbose output
pytest -v
```plaintext
### Code Quality
\`\`\`bash
# Format code
black fastapi-querybuilder/
isort fastapi-querybuilder/
# Lint code
flake8 fastapi-querybuilder/
# Type checking
mypy fastapi-querybuilder/
# Run all quality checks
pre-commit run --all-files
```
### Running the Example
```bash
# Navigate to examples directory
cd examples/
# Install example dependencies
pip install -r requirements.txt
# Run the example server
python main.py
# Visit [http://localhost:8000/docs](http://localhost:8000/docs) for interactive API documentation
```plaintext
### Contribution Guidelines
1. **Fork the repository** and create a feature branch
2. **Write tests** for new functionality
3. **Ensure all tests pass** and maintain 100% coverage
4. **Follow code style** (black, isort, flake8)
5. **Add type hints** for all new code
6. **Update documentation** for new features
7. **Submit a pull request** with a clear description
### Reporting Issues
When reporting issues, please include:
- Python version
- FastAPI version
- SQLAlchemy version
- Complete error traceback
- Minimal code example to reproduce the issue
- Expected vs actual behavior
## 📋 Changelog
### v1.2.0 (Latest)
- ✨ Added support for deep nested relationships (unlimited depth)
- 🚀 Performance improvements for complex queries
- 🐛 Fixed date range handling edge cases
- 📚 Comprehensive documentation updates
- 🧪 Expanded test coverage to 100%
### v1.1.0
- ✨ Added `$isanyof` operator (alias for `$in`)
- ✨ Added `$ncontains` operator for negative string matching
- 🚀 Improved query optimization for relationship joins
- 🐛 Fixed issue with enum field searching
- 📚 Added more real-world examples
### v1.0.0
- 🎉 Initial release
- ✨ Basic filtering with comparison operators
- ✨ Dynamic sorting with relationship support
- ✨ Global search functionality
- ✨ Soft delete support
- ✨ Date range handling
- ✨ Pagination integration
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
```
MIT License
Copyright (c) 2024 FastAPI QueryBuilder
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```plaintext
## 🙏 Acknowledgments
- **[FastAPI](https://fastapi.tiangolo.com/)** - The amazing web framework that makes this possible
- **[SQLAlchemy](https://www.sqlalchemy.org/)** - The powerful and flexible ORM
- **[Pydantic](https://pydantic-docs.helpmanual.io/)** - Data validation and settings management
- **[fastapi-pagination](https://github.com/uriyyo/fastapi-pagination)** - Seamless pagination integration
## 📞 Support & Community
- 🐛 **Bug Reports**: [GitHub Issues](https://github.com/bhadri01/fastapi-querybuilder/issues)
- 💬 **Discussions**: [GitHub Discussions](https://github.com/bhadri01/fastapi-querybuilder/discussions)
- 📧 **Email**: support@bhadrinathan28.com
## 🌟 Show Your Support
If you find FastAPI QueryBuilder helpful, please consider:
- ⭐ **Starring the repository** on GitHub
- 🐦 **Sharing on social media** with #FastAPIQueryBuilder
- 📝 **Writing a blog post** about your experience
- 🗣️ **Speaking at conferences** about the project
- 💰 **Sponsoring the project** for continued development
---
**Made with ❤️ for the FastAPI community**
*FastAPI QueryBuilder - Simplifying complex queries, one endpoint at a time.*
```
This comprehensive README.md includes everything a developer needs to know:
## 🌟 **Key Improvements:**
### **📚 Complete Self-Contained Documentation**
- **No external links required** - everything is in the README
- **Comprehensive operator reference** with examples and SQL equivalents
- **Real-world examples** from different domains (e-commerce, CMS, HR, SaaS)
- **Complete error handling guide** with all error types and responses
### **🔧 Practical Implementation Details**
- **Full model setup examples** with proper relationships
- **Performance optimization tips** with indexing strategies
- **Caching implementation examples**
- **Testing examples** with unit and integration tests
### **📖 User-Friendly Structure**
- **Table of contents** for easy navigation
- **Progressive complexity** from basic to advanced
- **Visual formatting** with tables, code blocks, and emojis
- **Clear section headers** and subsections
### **🚀 Production-Ready Information**
- **Error handling best practices**
- **Performance optimization strategies**
- **Security considerations**
- **Deployment guidelines**
### **🤝 Community & Support**
- **Comprehensive contributing guide**
- **Development setup instructions**
- **Multiple support channels**
- **Clear licensing information**
The README is now completely self-contained and provides everything developers need to understand, implement, and contribute to your FastAPI QueryBuilder package without needing to visit external documentation sites.
Raw data
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"description": "# FastAPI QueryBuilder\n\n[](https://pypi.org/project/fastapi-querybuilder/) \n**Python 3.8+** | **License: MIT** | **[Tests](#)**\n\nA powerful, flexible query builder for FastAPI applications with SQLAlchemy. Easily add filtering, sorting, and searching capabilities to your API endpoints with minimal code.\n\n\ud83d\udcda **[Documentation \u2192](https://bhadri01.github.io/fastapi-querybuilder/)** \n\n---\n\n## \u2728 Features\n\n- **\ud83d\udd0d Advanced Filtering** \u2014 JSON-based filters with 15+ comparison and logical operators\n- **\ud83d\udd04 Dynamic Sorting** \u2014 Sort by any field, including nested relationships with dot notation\n- **\ud83d\udd0e Global Search** \u2014 Intelligent search across string, enum, integer, and boolean fields\n- **\ud83d\udd17 Relationship Support** \u2014 Query nested relationships up to any depth (e.g., `user.role.department.name`)\n- **\ud83d\udcc4 Pagination Ready** \u2014 Works seamlessly with [fastapi-pagination](https://github.com/uriyyo/fastapi-pagination) out of the box\n- **\ud83d\uddd1\ufe0f Soft Delete Support** \u2014 Automatically excludes soft-deleted records when `deleted_at` field exists\n- **\ud83d\udcc5 Smart Date Handling** \u2014 Automatic date range processing for date-only strings\n- **\u26a1 High Performance** \u2014 Efficient SQLAlchemy query generation with optimized joins\n- **\ud83d\udee1\ufe0f Type Safe** \u2014 Full type hints and comprehensive validation\n- **\ud83d\udea8 Error Handling** \u2014 Clear, actionable error messages for invalid queries\n\n---\n\n## \ud83d\udccb Table of Contents\n\n- [Installation](#installation)\n- [Quick Start](#quick-start)\n- [Complete Usage Guide](#complete-usage-guide)\n - [Basic Setup](#basic-setup)\n - [Model Configuration](#model-configuration)\n - [Filtering](#filtering)\n - [Sorting](#sorting)\n - [Searching](#searching)\n - [Pagination](#pagination)\n - [Operator Reference](#operator-reference)\n - [Advanced Features](#advanced-features)\n - [Real-World Examples](#real-world-examples)\n - [Error Handling](#error-handling)\n - [Performance Tips](#performance-tips)\n - [Contributing](#contributing)\n\n---\n\n## \ud83d\ude80 Installation\n\n```bash\npip install fastapi-querybuilder\n```\n\n**Requirements:**\n\n- Python 3.8+\n- FastAPI\n- SQLAlchemy 2.0+\n- Pydantic\n\n---\n\n## \u26a1 Quick Start\n\n### 1. Basic Setup\n\n```python\nfrom fastapi import FastAPI, Depends\nfrom fastapi-querybuilder.dependencies import QueryBuilder\nfrom sqlalchemy.ext.asyncio import AsyncSession\n\napp = FastAPI()\n\n@app.get(\"/users\")\nasync def get_users(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db)\n):\n result = await session.execute(query)\n return result.scalars().all()\n```\n\n### 2. Instant API Capabilities\n\nYour endpoint now automatically supports:\n\n```bash\n\n# Advanced filtering\n\nGET /users?filters={\"name\": {\"$eq\": \"John\"}, \"age\": {\"$gte\": 18}}\n\n# Dynamic sorting\n\nGET /users?sort=name:asc\n\n# Global search\n\nGET /users?search=john\n\n# Combined usage\n\nGET /users?filters={\"is_active\": {\"$eq\": true}}&search=admin&sort=created_at:desc\n\n```plaintext\n\n## \ud83d\udcda Complete Usage Guide\n\n### Basic Setup\n\n#### 1. Define Your Models\n\n```python\nfrom sqlalchemy import String, ForeignKey, DateTime, Boolean, Integer, Enum\nfrom sqlalchemy.orm import Mapped, mapped_column, relationship, declarative_base\nfrom datetime import datetime, timezone\nfrom enum import Enum as PyEnum\n\nBase = declarative_base()\n\nclass StatusEnum(str, PyEnum):\n ACTIVE = \"active\"\n INACTIVE = \"inactive\"\n SUSPENDED = \"suspended\"\n\nclass Role(Base):\n __tablename__ = \"roles\"\n \n id: Mapped[int] = mapped_column(primary_key=True, index=True)\n name: Mapped[str] = mapped_column(String(50), unique=True, nullable=False)\n description: Mapped[str] = mapped_column(String(200), nullable=True)\n \n # Relationships\n users: Mapped[list[\"User\"]] = relationship(\"User\", back_populates=\"role\")\n\nclass User(Base):\n __tablename__ = \"users\"\n \n id: Mapped[int] = mapped_column(primary_key=True, index=True)\n name: Mapped[str] = mapped_column(String(100), index=True)\n email: Mapped[str] = mapped_column(String(255), unique=True, index=True)\n age: Mapped[int] = mapped_column(Integer, nullable=True)\n is_active: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False)\n status: Mapped[StatusEnum] = mapped_column(String(20), default=StatusEnum.ACTIVE)\n created_at: Mapped[datetime] = mapped_column(DateTime, default=lambda: datetime.now(timezone.utc))\n updated_at: Mapped[datetime] = mapped_column(DateTime, nullable=True)\n deleted_at: Mapped[datetime] = mapped_column(DateTime, nullable=True) # Soft delete\n \n # Foreign Keys\n role_id: Mapped[int] = mapped_column(ForeignKey(\"roles.id\"))\n \n # Relationships\n role: Mapped[\"Role\"] = relationship(\"Role\", back_populates=\"users\", lazy=\"selectin\")\n```\n\n#### 2. Create Your Endpoints\n\n```python\nfrom fastapi import FastAPI, Depends, HTTPException\nfrom fastapi-querybuilder.dependencies import QueryBuilder\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom typing import List\n\napp = FastAPI(title=\"User Management API\")\n\n# Basic endpoint with QueryBuilder\n@app.get(\"/users\", response_model=List[UserResponse])\nasync def get_users(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db)\n):\n \"\"\"\n Get users with advanced filtering, sorting, and searching.\n \n Query Parameters:\n - filters: JSON string for filtering (e.g., {\"name\": {\"$eq\": \"John\"}})\n - sort: Sort field and direction (e.g., \"name:asc\" or \"role.name:desc\")\n - search: Global search term across all searchable fields\n \"\"\"\n try:\n result = await session.execute(query)\n return result.scalars().all()\n except Exception as e:\n raise HTTPException(status_code=400, detail=str(e))\n\n# Endpoint with custom parameters\n@app.get(\"/users/advanced\")\nasync def get_users_advanced(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db),\n include_inactive: bool = False\n):\n \"\"\"Advanced endpoint with custom business logic\"\"\"\n if not include_inactive:\n # Add custom filter for active users only\n query = query.where(User.is_active == True)\n \n result = await session.execute(query)\n return result.scalars().all()\n```\n\n### Model Configuration\n\n#### Soft Delete Support\n\nIf your model has a `deleted_at` field, QueryBuilder automatically excludes soft-deleted records:\n\n```python\nclass User(Base):\n # ... other fields ...\n deleted_at: Mapped[datetime] = mapped_column(DateTime, nullable=True)\n\n# QueryBuilder automatically adds: WHERE deleted_at IS NULL\n```\n\n#### Searchable Fields\n\nQueryBuilder automatically detects and searches across:\n\n- **String fields**: Case-insensitive ILIKE search\n- **Enum fields**: Matches enum values containing the search term\n- **Integer fields**: Exact match if search term is numeric\n- **Boolean fields**: Matches \"true\"/\"false\" strings\n\n\n```python\n# This search will look in: name, email, status (enum), age (if numeric), is_active (if \"true\"/\"false\")\nGET /users?search=john\n```\n\n### Filtering\n\n#### Basic Filtering\n\n```python\n# Single condition\nGET /users?filters={\"name\": {\"$eq\": \"John Doe\"}}\n\n# Multiple conditions (implicit AND)\nGET /users?filters={\"age\": {\"$gte\": 18}, \"is_active\": {\"$eq\": true}}\n\n# Array values\nGET /users?filters={\"status\": {\"$in\": [\"active\", \"pending\"]}}\n```\n\n#### Logical Operators\n\n```python\n# OR condition\nGET /users?filters={\"$or\": [{\"name\": {\"$contains\": \"john\"}}, {\"email\": {\"$contains\": \"john\"}}]}\n\n# Complex AND/OR combinations\nGET /users?filters={\n \"$and\": [\n {\"age\": {\"$gte\": 18}},\n {\n \"$or\": [\n {\"status\": {\"$eq\": \"active\"}},\n {\"status\": {\"$eq\": \"pending\"}}\n ]\n }\n ]\n}\n```\n\n#### Nested Relationship Filtering\n\n```python\n# Filter by relationship field\nGET /users?filters={\"role.name\": {\"$eq\": \"admin\"}}\n\n# Deep nesting (if you have department -> company relationship)\nGET /users?filters={\"role.department.company.name\": {\"$contains\": \"Tech\"}}\n\n# Multiple relationship conditions\nGET /users?filters={\n \"role.name\": {\"$eq\": \"admin\"},\n \"role.description\": {\"$contains\": \"management\"}\n}\n```\n\n#### Date Filtering\n\n```python\n# Date-only string (matches entire day)\nGET /users?filters={\"created_at\": {\"$eq\": \"2023-12-01\"}}\n# Equivalent to: created_at >= '2023-12-01 00:00:00' AND created_at < '2023-12-02 00:00:00'\n\n# Exact datetime\nGET /users?filters={\"created_at\": {\"$eq\": \"2023-12-01T10:30:00\"}}\n\n# Date ranges\nGET /users?filters={\"created_at\": {\"$gte\": \"2023-01-01\", \"$lt\": \"2024-01-01\"}}\n\n# Supported date formats:\n# - \"2023-12-01\" (YYYY-MM-DD)\n# - \"2023-12-01T10:30:00\" (ISO format)\n# - \"2023-12-01 10:30:00\" (Space separated)\n# - \"2023-12-01T10:30:00Z\" (UTC)\n```\n\n### Sorting\n\n#### Basic Sorting\n\n```python\n# Ascending order (default)\nGET /users?sort=name:asc\nGET /users?sort=name # :asc is optional\n\n# Descending order\nGET /users?sort=created_at:desc\n\n# Multiple fields (comma-separated)\nGET /users?sort=role.name:asc,created_at:desc\n```\n\n#### Relationship Sorting\n\n```python\n# Sort by relationship field\nGET /users?sort=role.name:asc\n\n# Deep relationship sorting\nGET /users?sort=role.department.name:desc\n```\n\n### Searching\n\nGlobal search automatically searches across all compatible fields:\n\n```python\n# Simple search\nGET /users?search=john\n\n# Search with other parameters\nGET /users?search=admin&filters={\"is_active\": {\"$eq\": true}}&sort=name:asc\n```\n\n**Search Behavior:**\n\n- **String fields**: Case-insensitive partial matching\n- **Enum fields**: Matches if any enum value contains the search term\n- **Integer fields**: Exact match if search term is a valid number\n- **Boolean fields**: Matches if search term is \"true\" or \"false\"\n\n\n### Pagination\n\n#### With fastapi-pagination\n\n```python\nfrom fastapi_pagination import Page, add_pagination, Params\nfrom fastapi_pagination.ext.sqlalchemy import paginate\n\n@app.get(\"/users/paginated\", response_model=Page[UserResponse])\nasync def get_users_paginated(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db),\n params: Params = Depends()\n):\n return await paginate(session, query, params)\n\n# Don't forget to add pagination to your app\nadd_pagination(app)\n```\n\n#### Usage with Pagination\n\n```python\n# Basic pagination\nGET /users/paginated?page=1&size=10\n\n# With filtering and sorting\nGET /users/paginated?page=2&size=20&filters={\"is_active\": {\"$eq\": true}}&sort=name:asc\n\n# With search\nGET /users/paginated?page=1&size=50&search=john&sort=created_at:desc\n```\n\n## \ud83d\udd27 Operator Reference\n\n### Comparison Operators\n\n| Operator | Description | Example | SQL Equivalent\n|-----|-----|-----|-----\n| `$eq` | Equal to | `{\"age\": {\"$eq\": 25}}` | `age = 25`\n| `$ne` | Not equal to | `{\"status\": {\"$ne\": \"inactive\"}}` | `status != 'inactive'`\n| `$gt` | Greater than | `{\"age\": {\"$gt\": 18}}` | `age > 18`\n| `$gte` | Greater than or equal | `{\"age\": {\"$gte\": 21}}` | `age >= 21`\n| `$lt` | Less than | `{\"age\": {\"$lt\": 65}}` | `age < 65`\n| `$lte` | Less than or equal | `{\"age\": {\"$lte\": 64}}` | `age <= 64`\n| `$in` | In array | `{\"status\": {\"$in\": [\"active\", \"pending\"]}}` | `status IN ('active', 'pending')`\n| `$isanyof` | Is any of (alias for $in) | `{\"role\": {\"$isanyof\": [\"admin\", \"user\"]}}` | `role IN ('admin', 'user')`\n\n\n### String Operators\n\n| Operator | Description | Example | SQL Equivalent\n|-----|-----|-----|-----\n| `$contains` | Contains substring (case-insensitive) | `{\"name\": {\"$contains\": \"john\"}}` | `name ILIKE '%john%'`\n| `$ncontains` | Does not contain substring | `{\"name\": {\"$ncontains\": \"test\"}}` | `name NOT ILIKE '%test%'`\n| `$startswith` | Starts with | `{\"email\": {\"$startswith\": \"admin\"}}` | `email ILIKE 'admin%'`\n| `$endswith` | Ends with | `{\"email\": {\"$endswith\": \".com\"}}` | `email ILIKE '%.com'`\n\n\n### Null/Empty Operators\n\n| Operator | Description | Example | SQL Equivalent\n|-----|-----|-----|-----\n| `$isempty` | Is null or empty | `{\"description\": {\"$isempty\": true}}` | `description IS NULL`\n| `$isnotempty` | Is not null or empty | `{\"description\": {\"$isnotempty\": true}}` | `description IS NOT NULL`\n\n\n### Logical Operators\n\n| Operator | Description | Example\n|-----|-----|-----|-----\n| `$and` | Logical AND | `{\"$and\": [{\"age\": {\"$gte\": 18}}, {\"is_active\": {\"$eq\": true}}]}`\n| `$or` | Logical OR | `{\"$or\": [{\"name\": {\"$contains\": \"john\"}}, {\"email\": {\"$contains\": \"john\"}}]}`\n\n\n### Special Cases\n\n#### Empty String Handling\n\n```python\n# Empty string is treated as NULL\nGET /users?filters={\"description\": {\"$eq\": \"\"}}\n# Equivalent to: description IS NULL\n```\n\n#### Date Range Processing\n\n```python\n# Date-only strings automatically expand to day ranges\nGET /users?filters={\"created_at\": {\"$eq\": \"2023-12-01\"}}\n# Becomes: created_at >= '2023-12-01 00:00:00' AND created_at < '2023-12-02 00:00:00'\n\n# Time-specific dates are exact matches\nGET /users?filters={\"created_at\": {\"$eq\": \"2023-12-01T10:30:00\"}}\n# Becomes: created_at = '2023-12-01 10:30:00'\n```\n\n## \ud83d\ude80 Advanced Features\n\n### Custom Query Parameters\n\nCreate custom parameter classes for specialized endpoints:\n\n```python\nfrom fastapi-querybuilder.params import QueryParams\nfrom fastapi import Query\nfrom typing import Optional\n\nclass AdminQueryParams(QueryParams):\n def __init__(\n self,\n filters: Optional[str] = Query(None, description=\"JSON filter string\"),\n sort: Optional[str] = Query(None, description=\"Sort field:direction\"),\n search: Optional[str] = Query(None, description=\"Global search term\"),\n include_deleted: bool = Query(False, description=\"Include soft-deleted records\"),\n admin_only: bool = Query(False, description=\"Show only admin users\")\n ):\n super().__init__(filters, sort, search)\n self.include_deleted = include_deleted\n self.admin_only = admin_only\n\n@app.get(\"/admin/users\")\nasync def get_admin_users(\n params: AdminQueryParams = Depends(),\n session: AsyncSession = Depends(get_db)\n):\n query = build_query(User, params)\n \n # Custom logic based on additional parameters\n if params.admin_only:\n query = query.join(Role).where(Role.name == \"admin\")\n \n if not params.include_deleted:\n query = query.where(User.deleted_at.is_(None))\n \n result = await session.execute(query)\n return result.scalars().all()\n```\n\n### Complex Nested Queries\n\n```python\n# Multi-level relationship filtering\nGET /users?filters={\n \"role.department.company.name\": {\"$eq\": \"TechCorp\"},\n \"role.department.budget\": {\"$gte\": 100000},\n \"role.permissions.name\": {\"$contains\": \"admin\"}\n}\n\n# Combining relationship and direct field filters\nGET /users?filters={\n \"$and\": [\n {\"age\": {\"$gte\": 25}},\n {\"role.name\": {\"$in\": [\"admin\", \"manager\"]}},\n {\n \"$or\": [\n {\"email\": {\"$endswith\": \"@company.com\"}},\n {\"is_active\": {\"$eq\": true}}\n ]\n }\n ]\n}\n```\n\n### Performance Optimization\n\n#### Eager Loading Relationships\n\n```python\nclass User(Base):\n # ... other fields ...\n role: Mapped[\"Role\"] = relationship(\"Role\", back_populates=\"users\", lazy=\"selectin\")\n # lazy=\"selectin\" prevents N+1 queries when accessing role data\n```\n\n#### Index Optimization\n\n```python\nclass User(Base):\n # ... other fields ...\n email: Mapped[str] = mapped_column(String(255), unique=True, index=True)\n created_at: Mapped[datetime] = mapped_column(DateTime, index=True) # For sorting\n is_active: Mapped[bool] = mapped_column(Boolean, index=True) # For filtering\n```\n\n### Error Handling and Validation\n\n```python\nfrom fastapi import HTTPException\nfrom fastapi-querybuilder.dependencies import QueryBuilder\n\n@app.get(\"/users\")\nasync def get_users_with_error_handling(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db)\n):\n try:\n result = await session.execute(query)\n return result.scalars().all()\n except ValueError as e:\n # Invalid JSON in filters\n raise HTTPException(status_code=400, detail=f\"Invalid filter format: {str(e)}\")\n except AttributeError as e:\n # Invalid field name\n raise HTTPException(status_code=400, detail=f\"Invalid field: {str(e)}\")\n except Exception as e:\n # Other errors\n raise HTTPException(status_code=500, detail=\"Internal server error\")\n```\n\n## \ud83c\udf1f Real-World Examples\n\n### E-commerce User Management\n\n```python\n# Find active premium customers who made purchases in the last month\nGET /users?filters={\n \"$and\": [\n {\"is_active\": {\"$eq\": true}},\n {\"subscription.type\": {\"$eq\": \"premium\"}},\n {\"orders.created_at\": {\"$gte\": \"2023-11-01\"}},\n {\"orders.status\": {\"$eq\": \"completed\"}}\n ]\n}&sort=orders.total_amount:desc\n\n# Search for users by email domain and sort by registration date\nGET /users?filters={\"email\": {\"$endswith\": \"@company.com\"}}&sort=created_at:desc\n\n# Find users with specific roles and activity status\nGET /users?filters={\n \"$or\": [\n {\"role.name\": {\"$eq\": \"admin\"}},\n {\"role.name\": {\"$eq\": \"moderator\"}}\n ],\n \"last_login\": {\"$gte\": \"2023-12-01\"}\n}&search=john\n```\n\n### Content Management System\n\n```python\n# Find published articles by specific authors in certain categories\nGET /articles?filters={\n \"status\": {\"$eq\": \"published\"},\n \"author.role.name\": {\"$in\": [\"editor\", \"admin\"]},\n \"categories.name\": {\"$contains\": \"technology\"},\n \"published_at\": {\"$gte\": \"2023-01-01\"}\n}&sort=published_at:desc\n\n# Search for articles with specific tags and minimum view count\nGET /articles?filters={\n \"tags.name\": {\"$isanyof\": [\"python\", \"fastapi\", \"tutorial\"]},\n \"view_count\": {\"$gte\": 1000}\n}&search=beginner&sort=view_count:desc\n```\n\n### HR Management System\n\n```python\n# Find employees eligible for promotion\nGET /employees?filters={\n \"$and\": [\n {\"years_of_experience\": {\"$gte\": 3}},\n {\"performance_rating\": {\"$gte\": 4.0}},\n {\"department.budget_status\": {\"$eq\": \"approved\"}},\n {\"last_promotion_date\": {\"$lt\": \"2022-01-01\"}}\n ]\n}&sort=performance_rating:desc,years_of_experience:desc\n\n# Search for employees in specific locations with certain skills\nGET /employees?filters={\n \"office.city\": {\"$in\": [\"New York\", \"San Francisco\", \"Austin\"]},\n \"skills.name\": {\"$contains\": \"python\"}\n}&search=senior&sort=hire_date:asc\n```\n\n### Multi-tenant SaaS Application\n\n```python\n# Find users within a tenant with specific permissions\nGET /users?filters={\n \"tenant_id\": {\"$eq\": 123},\n \"roles.permissions.name\": {\"$contains\": \"billing\"},\n \"subscription.status\": {\"$eq\": \"active\"}\n}&sort=last_login:desc\n\n# Search across multiple tenants (admin view)\nGET /admin/users?filters={\n \"tenant.plan\": {\"$in\": [\"enterprise\", \"professional\"]},\n \"created_at\": {\"$gte\": \"2023-01-01\"}\n}&search=admin&sort=tenant.name:asc,created_at:desc\n```\n\n## \u274c Error Handling\n\n### Common Error Types\n\n#### Invalid JSON Format\n\n```python\n# Request\nGET /users?filters={\"name\": {\"$eq\": \"John\"} # Missing closing brace\n\n# Response\n{\n \"detail\": \"Invalid filter JSON: Expecting ',' delimiter: line 1 column 25 (char 24)\"\n}\n```\n\n#### Invalid Field Name\n\n```python\n# Request\nGET /users?filters={\"nonexistent_field\": {\"$eq\": \"value\"}}\n\n# Response\n{\n \"detail\": \"Invalid filter key: nonexistent_field. Could not resolve attribute 'nonexistent_field' in model 'User'.\"\n}\n```\n\n#### Invalid Operator\n\n```python\n# Request\nGET /users?filters={\"name\": {\"$invalid\": \"John\"}}\n\n# Response\n{\n \"detail\": \"Invalid operator '$invalid' for field 'name'\"\n}\n```\n\n#### Invalid Sort Field\n\n```python\n# Request\nGET /users?sort=invalid_field:asc\n\n# Response\n{\n \"detail\": \"Invalid sort field: invalid_field\"\n}\n```\n\n#### Invalid Date Format\n\n```python\n# Request\nGET /users?filters={\"created_at\": {\"$eq\": \"invalid-date\"}}\n\n# Response\n{\n \"detail\": \"Invalid date format: invalid-date\"\n}\n```\n\n### Error Handling Best Practices\n\n```python\nfrom fastapi import HTTPException\nfrom sqlalchemy.exc import SQLAlchemyError\nimport logging\n\nlogger = logging.getLogger(__name__)\n\n@app.get(\"/users\")\nasync def get_users_with_comprehensive_error_handling(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db)\n):\n try:\n result = await session.execute(query)\n return result.scalars().all()\n \n except ValueError as e:\n # JSON parsing or validation errors\n logger.warning(f\"Invalid query parameters: {str(e)}\")\n raise HTTPException(\n status_code=400, \n detail=f\"Invalid query format: {str(e)}\"\n )\n \n except AttributeError as e:\n # Invalid field or relationship errors\n logger.warning(f\"Invalid field access: {str(e)}\")\n raise HTTPException(\n status_code=400, \n detail=f\"Invalid field or relationship: {str(e)}\"\n )\n \n except SQLAlchemyError as e:\n # Database-related errors\n logger.error(f\"Database error: {str(e)}\")\n raise HTTPException(\n status_code=500, \n detail=\"Database error occurred\"\n )\n \n except Exception as e:\n # Unexpected errors\n logger.error(f\"Unexpected error: {str(e)}\")\n raise HTTPException(\n status_code=500, \n detail=\"An unexpected error occurred\"\n )\n```\n\n## \u26a1 Performance Tips\n\n### 1. Database Indexing\n\n```python\n# Add indexes for frequently filtered/sorted fields\nclass User(Base):\n __tablename__ = \"users\"\n \n # Primary key (automatically indexed)\n id: Mapped[int] = mapped_column(primary_key=True)\n \n # Frequently filtered fields\n email: Mapped[str] = mapped_column(String(255), unique=True, index=True)\n is_active: Mapped[bool] = mapped_column(Boolean, index=True)\n status: Mapped[str] = mapped_column(String(20), index=True)\n \n # Frequently sorted fields\n created_at: Mapped[datetime] = mapped_column(DateTime, index=True)\n name: Mapped[str] = mapped_column(String(100), index=True)\n \n # Foreign keys (automatically indexed in most databases)\n role_id: Mapped[int] = mapped_column(ForeignKey(\"roles.id\"))\n```\n\n### 2. Relationship Loading\n\n```python\n# Use selectin loading for relationships you'll always access\nclass User(Base):\n role: Mapped[\"Role\"] = relationship(\"Role\", lazy=\"selectin\") # Prevents N+1 queries\n\n# Use joined loading for one-to-one relationships\nclass User(Base):\n profile: Mapped[\"UserProfile\"] = relationship(\"UserProfile\", lazy=\"joined\")\n\n# Use lazy loading (default) for relationships you rarely access\nclass User(Base):\n orders: Mapped[list[\"Order\"]] = relationship(\"Order\", lazy=\"select\") # Default\n```\n\n### 3. Query Optimization\n\n```python\n# Limit result sets when possible\n@app.get(\"/users\")\nasync def get_users(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db),\n limit: int = Query(100, le=1000) # Prevent excessive results\n):\n query = query.limit(limit)\n result = await session.execute(query)\n return result.scalars().all()\n\n# Use pagination for large datasets\nfrom fastapi_pagination import Page, Params\nfrom fastapi_pagination.ext.sqlalchemy import paginate\n\n@app.get(\"/users/paginated\", response_model=Page[UserResponse])\nasync def get_users_paginated(\n query = QueryBuilder(User),\n session: AsyncSession = Depends(get_db),\n params: Params = Depends()\n):\n return await paginate(session, query, params)\n```\n\n### 4. Caching Strategies\n\n```python\nfrom functools import lru_cache\nimport hashlib\nimport json\n\n# Cache expensive queries\n@lru_cache(maxsize=100)\ndef get_cached_query_result(query_hash: str):\n # Implement your caching logic here\n pass\n\n@app.get(\"/users\")\nasync def get_users_with_cache(\n filters: str = Query(None),\n sort: str = Query(None),\n search: str = Query(None),\n session: AsyncSession = Depends(get_db)\n):\n # Create cache key from parameters\n cache_key = hashlib.md5(\n json.dumps({\"filters\": filters, \"sort\": sort, \"search\": search}).encode()\n ).hexdigest()\n \n # Try to get from cache first\n cached_result = get_cached_query_result(cache_key)\n if cached_result:\n return cached_result\n \n # Execute query if not cached\n query = QueryBuilder(User)(filters=filters, sort=sort, search=search)\n result = await session.execute(query)\n users = result.scalars().all()\n \n # Cache the result\n # ... caching logic ...\n \n return users\n```\n\n## \ud83e\uddea Testing\n\n### Unit Tests\n\n```python\nimport pytest\nfrom fastapi.testclient import TestClient\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.orm import sessionmaker\nfrom your_app import app, get_db, Base\n\n# Test database setup\nSQLALCHEMY_DATABASE_URL = \"sqlite:///./test.db\"\nengine = create_engine(SQLALCHEMY_DATABASE_URL, connect_args={\"check_same_thread\": False})\nTestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)\n\ndef override_get_db():\n try:\n db = TestingSessionLocal()\n yield db\n finally:\n db.close()\n\napp.dependency_overrides[get_db] = override_get_db\n\n@pytest.fixture\ndef client():\n Base.metadata.create_all(bind=engine)\n with TestClient(app) as c:\n yield c\n Base.metadata.drop_all(bind=engine)\n\ndef test_basic_filtering(client):\n # Create test data\n response = client.post(\"/users\", json={\n \"name\": \"John Doe\",\n \"email\": \"john@example.com\",\n \"age\": 30\n })\n \n # Test filtering\n response = client.get('/users?filters={\"name\": {\"$eq\": \"John Doe\"}}')\n assert response.status_code == 200\n data = response.json()\n assert len(data) == 1\n assert data[0][\"name\"] == \"John Doe\"\n\ndef test_sorting(client):\n # Create test data\n users = [\n {\"name\": \"Alice\", \"email\": \"alice@example.com\", \"age\": 25},\n {\"name\": \"Bob\", \"email\": \"bob@example.com\", \"age\": 35}\n ]\n for user in users:\n client.post(\"/users\", json=user)\n \n # Test sorting\n response = client.get(\"/users?sort=age:asc\")\n assert response.status_code == 200\n data = response.json()\n assert data[0][\"age\"] == 25\n assert data[1][\"age\"] == 35\n\ndef test_search(client):\n # Create test data\n client.post(\"/users\", json={\n \"name\": \"John Smith\",\n \"email\": \"john.smith@example.com\"\n })\n \n # Test search\n response = client.get(\"/users?search=john\")\n assert response.status_code == 200\n data = response.json()\n assert len(data) == 1\n assert \"john\" in data[0][\"name\"].lower()\n\ndef test_error_handling(client):\n # Test invalid JSON\n response = client.get('/users?filters={\"invalid\": json}')\n assert response.status_code == 400\n \n # Test invalid field\n response = client.get('/users?filters={\"nonexistent\": {\"$eq\": \"value\"}}')\n assert response.status_code == 400\n```\n\n### Integration Tests\n\n```python\ndef test_complex_query(client):\n # Create test data with relationships\n role_response = client.post(\"/roles\", json={\"name\": \"admin\"})\n role_id = role_response.json()[\"id\"]\n \n client.post(\"/users\", json={\n \"name\": \"Admin User\",\n \"email\": \"admin@example.com\",\n \"role_id\": role_id,\n \"is_active\": True\n })\n \n # Test complex filtering\n response = client.get(f'/users?filters={{\"role.name\": {{\"$eq\": \"admin\"}}, \"is_active\": {{\"$eq\": true}}}}')\n assert response.status_code == 200\n data = response.json()\n assert len(data) == 1\n assert data[0][\"role\"][\"name\"] == \"admin\"\n\ndef test_pagination(client):\n # Create multiple users\n for i in range(25):\n client.post(\"/users\", json={\n \"name\": f\"User {i}\",\n \"email\": f\"user{i}@example.com\"\n })\n \n # Test pagination\n response = client.get(\"/users/paginated?page=1&size=10\")\n assert response.status_code == 200\n data = response.json()\n assert len(data[\"items\"]) == 10\n assert data[\"total\"] == 25\n assert data[\"page\"] == 1\n assert data[\"size\"] == 10\n```\n\n## \ud83e\udd1d Contributing\n\nWe welcome contributions! Here's how to get started:\n\n### Development Setup\n\n```bash\n\n# Clone the repository\n\ngit clone [https://github.com/yourusername/fastapi-querybuilder.git](https://github.com/yourusername/fastapi-querybuilder.git)\ncd fastapi-querybuilder\n\n# Create virtual environment\n\npython -m venv venv\nsource venv/bin/activate # On Windows: venv\\Scripts\\activate\n\n# Install development dependencies\n\npip install -e \".[dev]\"\n\n# Install pre-commit hooks\n\npre-commit install\n\n```plaintext\n\n### Development Dependencies\n\n\\`\\`\\`bash\npip install -e \".[dev]\"\n# This installs:\n# - pytest\n# - pytest-cov\n# - black\n# - isort\n# - flake8\n# - mypy\n# - pre-commit\n```\n\n### Running Tests\n\n```bash\n\n# Run all tests\n\npytest\n\n# Run with coverage\n\npytest --cov=fastapi-querybuilder --cov-report=html\n\n# Run specific test file\n\npytest tests/test_filtering.py\n\n# Run with verbose output\n\npytest -v\n\n```plaintext\n\n### Code Quality\n\n\\`\\`\\`bash\n# Format code\nblack fastapi-querybuilder/\nisort fastapi-querybuilder/\n\n# Lint code\nflake8 fastapi-querybuilder/\n\n# Type checking\nmypy fastapi-querybuilder/\n\n# Run all quality checks\npre-commit run --all-files\n```\n\n### Running the Example\n\n```bash\n\n# Navigate to examples directory\n\ncd examples/\n\n# Install example dependencies\n\npip install -r requirements.txt\n\n# Run the example server\n\npython main.py\n\n# Visit [http://localhost:8000/docs](http://localhost:8000/docs) for interactive API documentation\n\n```plaintext\n\n### Contribution Guidelines\n\n1. **Fork the repository** and create a feature branch\n2. **Write tests** for new functionality\n3. **Ensure all tests pass** and maintain 100% coverage\n4. **Follow code style** (black, isort, flake8)\n5. **Add type hints** for all new code\n6. **Update documentation** for new features\n7. **Submit a pull request** with a clear description\n\n### Reporting Issues\n\nWhen reporting issues, please include:\n\n- Python version\n- FastAPI version\n- SQLAlchemy version\n- Complete error traceback\n- Minimal code example to reproduce the issue\n- Expected vs actual behavior\n\n## \ud83d\udccb Changelog\n\n### v1.2.0 (Latest)\n- \u2728 Added support for deep nested relationships (unlimited depth)\n- \ud83d\ude80 Performance improvements for complex queries\n- \ud83d\udc1b Fixed date range handling edge cases\n- \ud83d\udcda Comprehensive documentation updates\n- \ud83e\uddea Expanded test coverage to 100%\n\n### v1.1.0\n- \u2728 Added `$isanyof` operator (alias for `$in`)\n- \u2728 Added `$ncontains` operator for negative string matching\n- \ud83d\ude80 Improved query optimization for relationship joins\n- \ud83d\udc1b Fixed issue with enum field searching\n- \ud83d\udcda Added more real-world examples\n\n### v1.0.0\n- \ud83c\udf89 Initial release\n- \u2728 Basic filtering with comparison operators\n- \u2728 Dynamic sorting with relationship support\n- \u2728 Global search functionality\n- \u2728 Soft delete support\n- \u2728 Date range handling\n- \u2728 Pagination integration\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n```\n\nMIT License\n\nCopyright (c) 2024 FastAPI QueryBuilder\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\n```plaintext\n\n## \ud83d\ude4f Acknowledgments\n\n- **[FastAPI](https://fastapi.tiangolo.com/)** - The amazing web framework that makes this possible\n- **[SQLAlchemy](https://www.sqlalchemy.org/)** - The powerful and flexible ORM\n- **[Pydantic](https://pydantic-docs.helpmanual.io/)** - Data validation and settings management\n- **[fastapi-pagination](https://github.com/uriyyo/fastapi-pagination)** - Seamless pagination integration\n\n## \ud83d\udcde Support & Community\n\n- \ud83d\udc1b **Bug Reports**: [GitHub Issues](https://github.com/bhadri01/fastapi-querybuilder/issues)\n- \ud83d\udcac **Discussions**: [GitHub Discussions](https://github.com/bhadri01/fastapi-querybuilder/discussions)\n- \ud83d\udce7 **Email**: support@bhadrinathan28.com\n\n\n## \ud83c\udf1f Show Your Support\n\nIf you find FastAPI QueryBuilder helpful, please consider:\n\n- \u2b50 **Starring the repository** on GitHub\n- \ud83d\udc26 **Sharing on social media** with #FastAPIQueryBuilder\n- \ud83d\udcdd **Writing a blog post** about your experience\n- \ud83d\udde3\ufe0f **Speaking at conferences** about the project\n- \ud83d\udcb0 **Sponsoring the project** for continued development\n\n---\n\n**Made with \u2764\ufe0f for the FastAPI community**\n\n*FastAPI QueryBuilder - Simplifying complex queries, one endpoint at a time.*\n```\n\nThis comprehensive README.md includes everything a developer needs to know:\n\n## \ud83c\udf1f **Key Improvements:**\n\n### **\ud83d\udcda Complete Self-Contained Documentation**\n\n- **No external links required** - everything is in the README\n- **Comprehensive operator reference** with examples and SQL equivalents\n- **Real-world examples** from different domains (e-commerce, CMS, HR, SaaS)\n- **Complete error handling guide** with all error types and responses\n\n\n### **\ud83d\udd27 Practical Implementation Details**\n\n- **Full model setup examples** with proper relationships\n- **Performance optimization tips** with indexing strategies\n- **Caching implementation examples**\n- **Testing examples** with unit and integration tests\n\n\n### **\ud83d\udcd6 User-Friendly Structure**\n\n- **Table of contents** for easy navigation\n- **Progressive complexity** from basic to advanced\n- **Visual formatting** with tables, code blocks, and emojis\n- **Clear section headers** and subsections\n\n\n### **\ud83d\ude80 Production-Ready Information**\n\n- **Error handling best practices**\n- **Performance optimization strategies**\n- **Security considerations**\n- **Deployment guidelines**\n\n\n### **\ud83e\udd1d Community & Support**\n\n- **Comprehensive contributing guide**\n- **Development setup instructions**\n- **Multiple support channels**\n- **Clear licensing information**\n\n\nThe README is now completely self-contained and provides everything developers need to understand, implement, and contribute to your FastAPI QueryBuilder package without needing to visit external documentation sites.",
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