# AI Faker
AI-powered fake data generator for SQLAlchemy models using LLMs (OpenAI, Gemini).
## Features
- Generate realistic fake data using AI/LLM
- Batch generation for efficiency
- Support for OpenAI and Google's Gemini
- SQLAlchemy integration
- Type-aware data generation
- Unique constraint handling
- Relationship support
## Installation
```bash
# Install with OpenAI support
pip install ai_faker[openai]
# Install with Gemini support
pip install ai_faker[gemini]
# Install with all providers
pip install ai_faker[all]
```
## Quick Start
```python
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.orm import declarative_base
from ai_faker import DataGenerator, LLMInterface
from ai_faker.core.llm_providers import OpenAIProvider
# Create your SQLAlchemy model
Base = declarative_base()
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
username = Column(String(50), unique=True)
email = Column(String(100), unique=True)
# Initialize the provider and generator
provider = OpenAIProvider(api_key="your-api-key")
llm = LLMInterface(provider)
generator = DataGenerator(llm)
# Generate fake data
fake_users = generator.generate_fake_data(User, count=50)
print(fake_users)
```
## Environment Variables
Create a `.env` file:
```env
# OpenAI
OPENAI_API_KEY=your-openai-key
# Gemini
GOOGLE_API_KEY=your-google-key
```
## Supported Providers
### OpenAI
- Uses GPT models
- Requires OpenAI API key
### Gemini
- Uses Google's Gemini models
- Requires Google API key
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the LICENSE file for details.
Raw data
{
"_id": null,
"home_page": "https://github.com/otabek-olimjonov/ai_faker",
"name": "sql-ai-faker",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "sqlalchemy, faker, ai, llm, testing, database, openai, gemini",
"author": "Otabek Olimjonov",
"author_email": "bekdevs01@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/09/40/ac5bdfbb159b5b1ed93eb75a255c279cb8136af3918dee3809b9bb47418a/sql_ai_faker-1.0.0.tar.gz",
"platform": null,
"description": "# AI Faker\n\nAI-powered fake data generator for SQLAlchemy models using LLMs (OpenAI, Gemini).\n\n## Features\n\n- Generate realistic fake data using AI/LLM\n- Batch generation for efficiency\n- Support for OpenAI and Google's Gemini\n- SQLAlchemy integration\n- Type-aware data generation\n- Unique constraint handling\n- Relationship support\n\n## Installation\n\n```bash\n# Install with OpenAI support\npip install ai_faker[openai]\n\n# Install with Gemini support\npip install ai_faker[gemini]\n\n# Install with all providers\npip install ai_faker[all]\n```\n\n## Quick Start\n\n```python\nfrom sqlalchemy import create_engine, Column, Integer, String\nfrom sqlalchemy.orm import declarative_base\nfrom ai_faker import DataGenerator, LLMInterface\nfrom ai_faker.core.llm_providers import OpenAIProvider\n\n# Create your SQLAlchemy model\nBase = declarative_base()\n\nclass User(Base):\n __tablename__ = 'users'\n id = Column(Integer, primary_key=True)\n username = Column(String(50), unique=True)\n email = Column(String(100), unique=True)\n\n# Initialize the provider and generator\nprovider = OpenAIProvider(api_key=\"your-api-key\")\nllm = LLMInterface(provider)\ngenerator = DataGenerator(llm)\n\n# Generate fake data\nfake_users = generator.generate_fake_data(User, count=50)\n\nprint(fake_users)\n```\n\n## Environment Variables\n\nCreate a `.env` file:\n\n```env\n# OpenAI\nOPENAI_API_KEY=your-openai-key\n\n# Gemini\nGOOGLE_API_KEY=your-google-key\n```\n\n## Supported Providers\n\n### OpenAI\n- Uses GPT models\n- Requires OpenAI API key\n\n### Gemini\n- Uses Google's Gemini models\n- Requires Google API key\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "AI-powered fake data generator for SQLAlchemy models using LLMs",
"version": "1.0.0",
"project_urls": {
"Bug Reports": "https://github.com/otabek-olimjonov/ai_faker/issues",
"Homepage": "https://github.com/otabek-olimjonov/ai_faker",
"Source": "https://github.com/otabek-olimjonov/ai_faker"
},
"split_keywords": [
"sqlalchemy",
" faker",
" ai",
" llm",
" testing",
" database",
" openai",
" gemini"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "8b188de1d99772c1e01d01f7590cc4bc849c39fafed9aac901c0a7953d389d84",
"md5": "caaabc3f49c449874f876e60cc275394",
"sha256": "2790619406075a673dd58f48ee0f51dee2a7d98ab3e6b5252046b58a0d9b974c"
},
"downloads": -1,
"filename": "sql_ai_faker-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "caaabc3f49c449874f876e60cc275394",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 16990,
"upload_time": "2025-02-05T14:49:09",
"upload_time_iso_8601": "2025-02-05T14:49:09.961228Z",
"url": "https://files.pythonhosted.org/packages/8b/18/8de1d99772c1e01d01f7590cc4bc849c39fafed9aac901c0a7953d389d84/sql_ai_faker-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "0940ac5bdfbb159b5b1ed93eb75a255c279cb8136af3918dee3809b9bb47418a",
"md5": "d22b89fd18d9d2e5895bec8a49f1122a",
"sha256": "5a39e40004a3f5de7ef1b9c036ab6413ff90b98b68f93aa67d67a96f44a6525a"
},
"downloads": -1,
"filename": "sql_ai_faker-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "d22b89fd18d9d2e5895bec8a49f1122a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 15719,
"upload_time": "2025-02-05T14:49:11",
"upload_time_iso_8601": "2025-02-05T14:49:11.136640Z",
"url": "https://files.pythonhosted.org/packages/09/40/ac5bdfbb159b5b1ed93eb75a255c279cb8136af3918dee3809b9bb47418a/sql_ai_faker-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-02-05 14:49:11",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "otabek-olimjonov",
"github_project": "ai_faker",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "sql-ai-faker"
}
JSON
