Spaces:
Runtime error
Runtime error
Add application file
Browse files- .env +31 -0
- .env.example +30 -0
- Dockerfile +1 -1
- __init__.py +0 -0
- __pycache__/main.cpython-310.pyc +0 -0
- __pycache__/main.cpython-312.pyc +0 -0
- config.py +63 -0
- pyproject.toml +56 -0
- rag_chatbot_backend.egg-info/PKG-INFO +37 -0
- rag_chatbot_backend.egg-info/SOURCES.txt +6 -0
- rag_chatbot_backend.egg-info/dependency_links.txt +1 -0
- rag_chatbot_backend.egg-info/requires.txt +30 -0
- rag_chatbot_backend.egg-info/top_level.txt +1 -0
- uv.lock +0 -0
.env
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# Qdrant Configuration
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QDRANT_URL=https://2aa04938-4f4a-4e3c-9e96-6328c0381059.us-east4-0.gcp.cloud.qdrant.io
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QDRANT_API_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhY2Nlc3MiOiJtIn0.iqhWUBAdUuc0uakiykAf8hBUxUFhMXFkV4edpPYklZ0
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QDRANT_COLLECTION_NAME=RAGChatbot
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# Neon Postgres Configuration (fixed format - removed 'psql' prefix)
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DATABASE_URL=postgresql://neondb_owner:npg_olSU4n3LPjZX@ep-blue-dawn-adgrzjmt-pooler.c-2.us-east-1.aws.neon.tech/neondb?sslmode=require
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# Gemini API Configuration (via OpenAI-compatible endpoint)
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OPENAI_API_KEY=AIzaSyAAh9OwrhI28Z5toIZye0F9QnWfjqwq8L0
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OPENAI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
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GEMINI_MODEL=gemini-2.5-flash
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# Application Settings
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APP_ENV=development
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LOG_LEVEL=info
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RATE_LIMIT_REQUESTS=100
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RATE_LIMIT_WINDOW=60
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# RAG Settings
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RAG_TOP_K=5
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RAG_MIN_SCORE=0.3
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MAX_TOKENS_PER_CHUNK=512
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MAX_RESPONSE_TOKENS=2000
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# Embedding Configuration
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EMBEDDING_MODEL=text-embedding-004
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EMBEDDING_DIMENSION=768
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# CORS Settings
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ALLOWED_ORIGINS=http://localhost:3000,http://localhost:8000,https://yourdomain.com
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.env.example
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# Qdrant Configuration
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QDRANT_URL=https://2aa04938-4f4a-4e3c-9e96-6328c0381059.us-east4-0.gcp.cloud.qdrant.io
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QDRANT_API_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhY2Nlc3MiOiJtIn0.iqhWUBAdUuc0uakiykAf8hBUxUFhMXFkV4edpPYklZ0
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QDRANT_COLLECTION_NAME=RAGChatbot
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# Neon Postgres Configuration
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DATABASE_URL=psql 'postgresql://neondb_owner:npg_olSU4n3LPjZX@ep-blue-dawn-adgrzjmt-pooler.c-2.us-east-1.aws.neon.tech/neondb?sslmode=require&channel_binding=require'
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# Gemini API Configuration (via OpenAI-compatible endpoint)
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OPENAI_API_KEY=AIzaSyAAh9OwrhI28Z5toIZye0F9QnWfjqwq8L0
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OPENAI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai/
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# Application Settings
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APP_ENV=development
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LOG_LEVEL=info
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RATE_LIMIT_REQUESTS=100
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RATE_LIMIT_WINDOW=60
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# RAG Settings
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RAG_TOP_K=5
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RAG_MIN_SCORE=0.3
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MAX_TOKENS_PER_CHUNK=512
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MAX_RESPONSE_TOKENS=2000
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# Embedding Configuration
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EMBEDDING_MODEL=text-embedding-004
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EMBEDDING_DIMENSION=768
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# CORS Settings
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ALLOWED_ORIGINS=http://localhost:3000,http://localhost:8000,https://yourdomain.com
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Dockerfile
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EXPOSE 7860
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# Run the FastAPI application
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "
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EXPOSE 7860
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# Run the FastAPI application
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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__init__.py
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File without changes
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__pycache__/main.cpython-310.pyc
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Binary file (3.26 kB). View file
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__pycache__/main.cpython-312.pyc
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Binary file (5.32 kB). View file
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config.py
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import os
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from typing import Optional
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class Config:
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"""
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Configuration class for the RAG Chatbot backend
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"""
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# Database configuration
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DATABASE_URL: str = os.getenv("DATABASE_URL", "postgresql+asyncpg://user:password@localhost/rag_chatbot")
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# Qdrant configuration
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QDRANT_URL: str = os.getenv("QDRANT_URL", "http://localhost:6333")
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QDRANT_API_KEY: Optional[str] = os.getenv("QDRANT_API_KEY")
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QDRANT_COLLECTION_NAME: str = os.getenv("QDRANT_COLLECTION_NAME", "textbook_content_embeddings")
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# OpenAI/Gemini API configuration
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OPENAI_API_KEY: str = os.getenv("OPENAI_API_KEY", "")
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OPENAI_BASE_URL: str = os.getenv("OPENAI_BASE_URL", "https://generativelanguage.googleapis.com/v1beta/openai/")
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GEMINI_MODEL: str = os.getenv("GEMINI_MODEL", "gemini-2.5-flash")
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# Embedding configuration
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EMBEDDING_MODEL: str = os.getenv("EMBEDDING_MODEL", "text-embedding-004")
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EMBEDDING_DIMENSION: int = int(os.getenv("EMBEDDING_DIMENSION", "768"))
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# Application settings
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APP_ENV: str = os.getenv("APP_ENV", "development")
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LOG_LEVEL: str = os.getenv("LOG_LEVEL", "INFO")
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# Rate limiting
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RATE_LIMIT_REQUESTS: int = int(os.getenv("RATE_LIMIT_REQUESTS", "100"))
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RATE_LIMIT_WINDOW: int = int(os.getenv("RATE_LIMIT_WINDOW", "60")) # in seconds
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# RAG settings
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RAG_TOP_K: int = int(os.getenv("RAG_TOP_K", "5"))
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RAG_MIN_SCORE: float = float(os.getenv("RAG_MIN_SCORE", "0.3"))
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MAX_TOKENS_PER_CHUNK: int = int(os.getenv("MAX_TOKENS_PER_CHUNK", "512"))
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MAX_RESPONSE_TOKENS: int = int(os.getenv("MAX_RESPONSE_TOKENS", "2000"))
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# CORS settings
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ALLOWED_ORIGINS: list = os.getenv("ALLOWED_ORIGINS", "*").split(",")
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# SSE Streaming
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SSE_STREAMING_ENABLED: bool = os.getenv("SSE_STREAMING_ENABLED", "true").lower() == "true"
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@classmethod
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def validate(cls):
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"""
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Validate that required configuration values are set
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"""
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errors = []
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if not cls.OPENAI_API_KEY:
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errors.append("OPENAI_API_KEY is required")
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if cls.APP_ENV not in ["development", "staging", "production"]:
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errors.append(f"APP_ENV must be one of: development, staging, production. Got: {cls.APP_ENV}")
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if errors:
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raise ValueError(f"Configuration validation failed: {'; '.join(errors)}")
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# Validate configuration on import
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Config.validate()
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pyproject.toml
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[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "rag-chatbot-backend"
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version = "0.1.0"
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description = "Backend for RAG Chatbot for Physical AI Textbook"
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readme = "README.md"
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requires-python = ">=3.10"
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license = {text = "MIT"}
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authors = [
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{name = "Physical AI Textbook Team"},
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]
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dependencies = [
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"fastapi>=0.104.1",
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"uvicorn>=0.24.0",
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"openai>=1.3.5",
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"qdrant-client>=1.7.0",
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"asyncio>=3.4.3",
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"python-dotenv>=1.0.0",
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"pydantic>=2.5.0",
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"sqlalchemy>=2.0.23",
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"asyncpg>=0.29.0",
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"psycopg[binary]>=3.1.12",
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"pyjwt>=2.8.0",
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"passlib[bcrypt]>=1.7.4",
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"python-multipart>=0.0.6",
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"alembic>=1.13.1",
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"tiktoken>=0.5.1",
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"sentence-transformers>=2.2.2",
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"requests>=2.31.0",
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"aiofiles>=23.2.1",
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"sse-starlette>=1.8.2",
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"python-slugify>=8.0.1",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.4.0",
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"pytest-asyncio>=0.21.0",
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"pytest-cov>=4.1.0",
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"black>=23.7.0",
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"flake8>=6.0.0",
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"mypy>=1.4.1",
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"isort>=5.12.0",
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"pre-commit>=3.3.3",
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]
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["backend*"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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asyncio_mode = "auto"
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rag_chatbot_backend.egg-info/PKG-INFO
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Metadata-Version: 2.4
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Name: rag-chatbot-backend
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Version: 0.1.0
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Summary: Backend for RAG Chatbot for Physical AI Textbook
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Author: Physical AI Textbook Team
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License: MIT
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Requires-Python: >=3.10
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| 8 |
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Description-Content-Type: text/markdown
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| 9 |
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Requires-Dist: fastapi>=0.104.1
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| 10 |
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Requires-Dist: uvicorn>=0.24.0
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| 11 |
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Requires-Dist: openai>=1.3.5
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| 12 |
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Requires-Dist: qdrant-client>=1.7.0
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| 13 |
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Requires-Dist: asyncio>=3.4.3
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| 14 |
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Requires-Dist: python-dotenv>=1.0.0
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| 15 |
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Requires-Dist: pydantic>=2.5.0
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| 16 |
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Requires-Dist: sqlalchemy>=2.0.23
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| 17 |
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Requires-Dist: asyncpg>=0.29.0
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| 18 |
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Requires-Dist: psycopg[binary]>=3.1.12
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| 19 |
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Requires-Dist: pyjwt>=2.8.0
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| 20 |
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Requires-Dist: passlib[bcrypt]>=1.7.4
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| 21 |
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Requires-Dist: python-multipart>=0.0.6
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| 22 |
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Requires-Dist: alembic>=1.13.1
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| 23 |
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Requires-Dist: tiktoken>=0.5.1
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| 24 |
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Requires-Dist: sentence-transformers>=2.2.2
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| 25 |
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Requires-Dist: requests>=2.31.0
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| 26 |
+
Requires-Dist: aiofiles>=23.2.1
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| 27 |
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Requires-Dist: sse-starlette>=1.8.2
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| 28 |
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Requires-Dist: python-slugify>=8.0.1
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| 29 |
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Provides-Extra: dev
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| 30 |
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Requires-Dist: pytest>=7.4.0; extra == "dev"
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| 31 |
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Requires-Dist: pytest-asyncio>=0.21.0; extra == "dev"
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| 32 |
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Requires-Dist: pytest-cov>=4.1.0; extra == "dev"
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| 33 |
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Requires-Dist: black>=23.7.0; extra == "dev"
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| 34 |
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Requires-Dist: flake8>=6.0.0; extra == "dev"
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| 35 |
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Requires-Dist: mypy>=1.4.1; extra == "dev"
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| 36 |
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Requires-Dist: isort>=5.12.0; extra == "dev"
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| 37 |
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Requires-Dist: pre-commit>=3.3.3; extra == "dev"
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rag_chatbot_backend.egg-info/SOURCES.txt
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pyproject.toml
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rag_chatbot_backend.egg-info/PKG-INFO
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rag_chatbot_backend.egg-info/SOURCES.txt
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rag_chatbot_backend.egg-info/dependency_links.txt
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rag_chatbot_backend.egg-info/requires.txt
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rag_chatbot_backend.egg-info/top_level.txt
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rag_chatbot_backend.egg-info/dependency_links.txt
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rag_chatbot_backend.egg-info/requires.txt
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fastapi>=0.104.1
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uvicorn>=0.24.0
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openai>=1.3.5
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| 4 |
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qdrant-client>=1.7.0
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| 5 |
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asyncio>=3.4.3
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| 6 |
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python-dotenv>=1.0.0
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| 7 |
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pydantic>=2.5.0
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| 8 |
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sqlalchemy>=2.0.23
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| 9 |
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asyncpg>=0.29.0
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| 10 |
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psycopg[binary]>=3.1.12
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| 11 |
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pyjwt>=2.8.0
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| 12 |
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passlib[bcrypt]>=1.7.4
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| 13 |
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python-multipart>=0.0.6
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| 14 |
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alembic>=1.13.1
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| 15 |
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tiktoken>=0.5.1
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| 16 |
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sentence-transformers>=2.2.2
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| 17 |
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requests>=2.31.0
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| 18 |
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aiofiles>=23.2.1
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| 19 |
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sse-starlette>=1.8.2
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| 20 |
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python-slugify>=8.0.1
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[dev]
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| 23 |
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pytest>=7.4.0
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| 24 |
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pytest-asyncio>=0.21.0
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| 25 |
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pytest-cov>=4.1.0
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black>=23.7.0
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flake8>=6.0.0
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mypy>=1.4.1
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isort>=5.12.0
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pre-commit>=3.3.3
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rag_chatbot_backend.egg-info/top_level.txt
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uv.lock
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