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Delete config.py

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- import os
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- from dotenv import load_dotenv
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-
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- # Load environment variables
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- load_dotenv()
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-
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- class Config:
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- """Configuration class for Insurance Helper RAG application"""
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-
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- # API Keys
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- GEMINI_API_KEY = os.getenv("GOOGLE_API_KEY")
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- QDRANT_API_KEY = os.getenv("QDRANT_API_KEY")
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- QDRANT_URL = os.getenv("QDRANT_HOST")
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-
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- # Gemini Model Configuration
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- GEMINI_MODEL = "gemini-2.5-flash"
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- GEMINI_TEMPERATURE = 0.2
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- GEMINI_MAX_OUTPUT_TOKENS = 2048
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-
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- # Embedding Configuration
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- EMBEDDING_MODEL = "models/text-embedding-004"
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- EMBEDDING_DIMENSION = 768
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-
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- # PDF Processing Configuration
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- CHUNK_SIZE = 1000
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- CHUNK_OVERLAP = 200
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-
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- # Chunking separators optimized for insurance documents
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- SEPARATORS = [
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- "\n\n", # Paragraph breaks
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- "\n", # Line breaks
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- ". ", # Sentence breaks
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- ", ", # Clause breaks
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- " ", # Word breaks
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- "" # Character breaks
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- ]
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-
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- # Qdrant Configuration
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- COLLECTION_NAME = "insurance_documents"
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- VECTOR_SIZE = EMBEDDING_DIMENSION
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- DISTANCE_METRIC = "Cosine"
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-
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- # Retrieval Configuration
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- TOP_K = 5
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- SIMILARITY_THRESHOLD = 0.7
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-
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- # RAG Prompt Template
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- RAG_PROMPT_TEMPLATE = """You are an expert insurance advisor helping users understand their insurance documents.
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- Use the following context from insurance documents to answer the user's question.
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- Provide clear, accurate information and explain insurance terms in simple language.
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-
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- Context from insurance documents:
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- {context}
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-
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- User Question: {question}
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-
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- Instructions:
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- - Answer based primarily on the provided context
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- - If the context doesn't contain enough information, clearly state that
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- - Explain insurance jargon in plain language
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- - For add-on recommendations, compare coverage, costs, and benefits
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- - Highlight important exclusions or limitations
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- - Be precise about coverage details and conditions
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-
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- Answer:"""
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-
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- # System Instructions for Gemini
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- SYSTEM_INSTRUCTION = """You are an expert insurance advisor. Your role is to:
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- 1. Help users understand complex insurance documents
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- 2. Explain insurance terms and conditions in simple language
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- 3. Provide recommendations for add-ons based on coverage gaps
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- 4. Compare different coverage options clearly
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- 5. Highlight important exclusions and limitations
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- 6. Always prioritize accuracy and clarity
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-
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- Remember: You provide informational guidance only, not professional insurance advice."""
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-
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- @classmethod
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- def validate_config(cls):
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- """Validate that all required configuration is present"""
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- required_keys = [
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- ("GEMINI_API_KEY", cls.GEMINI_API_KEY),
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- ("QDRANT_API_KEY", cls.QDRANT_API_KEY),
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- ("QDRANT_URL", cls.QDRANT_URL)
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- ]
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-
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- missing = [key for key, value in required_keys if not value]
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-
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- if missing:
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- raise ValueError(
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- f"Missing required environment variables: {', '.join(missing)}\n"
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- "Please set them in your .env file"
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- )
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-
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- return True
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-
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- @classmethod
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- def get_qdrant_config(cls):
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- """Returns Qdrant configuration dictionary"""
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- return {
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- "url": cls.QDRANT_URL,
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- "api_key": cls.QDRANT_API_KEY,
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- "collection_name": cls.COLLECTION_NAME,
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- "vector_size": cls.VECTOR_SIZE,
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- "distance": cls.DISTANCE_METRIC
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- }
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-
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- @classmethod
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- def get_chunking_config(cls):
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- """Returns chunking configuration dictionary"""
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- return {
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- "chunk_size": cls.CHUNK_SIZE,
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- "chunk_overlap": cls.CHUNK_OVERLAP,
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- "separators": cls.SEPARATORS
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- }
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-
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- @classmethod
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- def get_retrieval_config(cls):
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- """Returns retrieval configuration dictionary"""
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- return {
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- "top_k": cls.TOP_K,
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- "similarity_threshold": cls.SIMILARITY_THRESHOLD
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- }