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document processing and response gen smooth

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This commit is contained in:
Madhu 2024-12-04 22:43:23 +05:30
parent c9ea9655bd
commit 5193d040f1
1 changed files with 139 additions and 96 deletions
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201
rag_tutorials/llm_app_hybrid_RAG_claude/main.py
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@ -83,15 +83,13 @@ def perform_search(query: str) -> List[dict]:
async def handle_settings_update(settings: dict): async def handle_settings_update(settings: dict):
"""Handle settings updates when user submits the form.""" """Handle settings updates when user submits the form."""
try: try:
# Validate API keys
def validate_key(key: str, key_type: str, valid_prefixes: tuple) -> bool: def validate_key(key: str, key_type: str, valid_prefixes: tuple) -> bool:
if not key: if not key:
raise ValueError(f"{key_type} API key is required") raise ValueError(f"{key_type} API key is required")
if valid_prefixes and not any(key.startswith(prefix) for prefix in valid_prefixes): if valid_prefixes and not any(key.startswith(prefix) for prefix in valid_prefixes):
raise ValueError(f"Invalid {key_type} API key format") raise ValueError(f"Invalid {key_type} API key format")
return True return True
# Validate DB URL
# Validate DB URL
def validate_db_url(url: str) -> bool: def validate_db_url(url: str) -> bool:
valid_prefixes = ('postgresql://', 'mysql://', 'sqlite:///') valid_prefixes = ('postgresql://', 'mysql://', 'sqlite:///')
if not url: if not url:
@ -100,12 +98,10 @@ async def handle_settings_update(settings: dict):
raise ValueError("Invalid database URL format") raise ValueError("Invalid database URL format")
return True return True
# Validate all inputs
validate_key(settings["OpenAIApiKey"], "OpenAI", ("sk-", "sk-proj-")) validate_key(settings["OpenAIApiKey"], "OpenAI", ("sk-", "sk-proj-"))
validate_key(settings["AnthropicApiKey"], "Anthropic", ("sk-ant-",)) validate_key(settings["AnthropicApiKey"], "Anthropic", ("sk-ant-",))
validate_key(settings["CohereApiKey"], "Cohere", tuple()) validate_key(settings["CohereApiKey"], "Cohere", tuple())
validate_db_url(settings["DBUrl"]) validate_db_url(settings["DBUrl"])
# Store validated values in user_env # Store validated values in user_env
user_env = { user_env = {
"OPENAI_API_KEY": settings["OpenAIApiKey"], "OPENAI_API_KEY": settings["OpenAIApiKey"],
@ -114,23 +110,65 @@ async def handle_settings_update(settings: dict):
"DB_URL": settings["DBUrl"] "DB_URL": settings["DBUrl"]
} }
# Store in user session
cl.user_session.set("env", user_env)
# Initialize RAGLite config
global my_config global my_config
my_config = initialize_config(user_env) my_config = initialize_config(user_env)
cl.user_session.set("env", user_env)
await cl.Message(content="✅ Successfully configured with your API keys!").send() await cl.Message(content="✅ Successfully configured with your API keys!").send()
# Automatically prompt for PDF upload # Ask for file upload with proper configuration
await cl.AskFileMessage( files = await cl.AskFileMessage(
content="Please upload one or more PDF documents to begin!", content="Please upload one or more PDF documents to begin!",
accept=["application/pdf"], accept=["application/pdf"],
max_size_mb=20, max_size_mb=20,
timeout=300,
max_files=5 max_files=5
).send() ).send()
if files:
success = False
# Process uploaded files
for file in files:
logger.info(f"Starting to process file: {file.name}")
# Create new message for each file
await cl.Message(f"Processing {file.name}...").send()
try:
logger.info(f"Embedding document: {file.path}")
process_document(file_path=file.path)
success = True
await cl.Message(f"✅ Successfully processed: {file.name}").send()
logger.info(f"Successfully processed and embedded: {file.name}")
except Exception as proc_error:
error_msg = f"Failed to process {file.name}: {str(proc_error)}"
logger.error(error_msg)
await cl.Message(f"❌ {error_msg}").send()
continue
if success:
# Send completion message
await cl.Message(
content="✅ Documents are ready! You can now ask questions about them."
).send()
# Store session state
cl.user_session.set("documents_loaded", True)
# Reset the chat interface
await cl.Message(content="Ask your first question:").send()
# Clear any existing message elements
cl.user_session.set("message_elements", [])
else:
await cl.Message(
content="❌ No documents were successfully processed. Please try uploading again."
).send()
except Exception as e: except Exception as e:
error_msg = f"❌ Error with provided settings: {str(e)}" error_msg = f"❌ Error with provided settings: {str(e)}"
logger.error(error_msg) logger.error(error_msg)
@ -138,39 +176,38 @@ async def handle_settings_update(settings: dict):
@cl.on_chat_start @cl.on_chat_start
async def start() -> None: async def start() -> None:
"""Initialize chat and request API keys."""
try: try:
logger.info("Chat session started") logger.info("Chat session started")
cl.user_session.set("chat_history", []) cl.user_session.set("chat_history", [])
# Just show the settings form # Show settings form first
await cl.ChatSettings( await cl.ChatSettings([
[ TextInput(
TextInput( id="OpenAIApiKey",
id="OpenAIApiKey", label="OpenAI API Key",
label="OpenAI API Key", initial="",
initial="", placeholder="Enter your OpenAI API Key (starts with 'sk-')"
placeholder="Enter your OpenAI API Key (starts with 'sk-')" ),
), TextInput(
TextInput( id="AnthropicApiKey",
id="AnthropicApiKey", label="Anthropic API Key",
label="Anthropic API Key", initial="",
initial="", placeholder="Enter your Anthropic API Key (starts with 'sk-ant-')"
placeholder="Enter your Anthropic API Key (starts with 'sk-ant-')" ),
), TextInput(
TextInput( id="CohereApiKey",
id="CohereApiKey", label="Cohere API Key",
label="Cohere API Key", initial="",
initial="", placeholder="Enter your Cohere API Key"
placeholder="Enter your Cohere API Key" ),
), TextInput(
TextInput( id="DBUrl",
id="DBUrl", label="Database URL",
label="Database URL", initial="",
initial="", placeholder="Enter your Database URL (e.g., postgresql://user:pass@host:port/db)"
placeholder="Enter your Database URL (e.g., postgresql://user:pass@host:port/db)" ),
), ]).send()
]
).send()
except Exception as e: except Exception as e:
logger.error(f"Error in chat start: {str(e)}") logger.error(f"Error in chat start: {str(e)}")
@ -178,60 +215,66 @@ async def start() -> None:
@cl.on_message @cl.on_message
async def message_handler(message: cl.Message) -> None: async def message_handler(message: cl.Message) -> None:
"""Handle user queries using RAG."""
try: try:
msg = cl.Message(content="Thinking...") # Check if documents are loaded
if not cl.user_session.get("documents_loaded"):
await cl.Message(content="❌ Please upload and process documents first!").send()
return
if not my_config:
await cl.Message(content="❌ Please configure your API keys first!").send()
return
# Create message for streaming
msg = cl.Message(content="")
await msg.send() await msg.send()
query = message.content.strip() query = message.content.strip()
chat_history = cl.user_session.get("chat_history", []) logger.info(f"Processing query: {query}")
# Search for relevant chunks using global config # Search for relevant chunks
reranked_chunks = perform_search(query) reranked_chunks = perform_search(query)
if reranked_chunks: if not reranked_chunks:
logger.info("Using RAG for response generation")
try:
# Convert chat history to proper format for RAG
formatted_messages = []
for user_msg, assistant_msg in chat_history:
formatted_messages.append({"role": "user", "content": user_msg})
formatted_messages.append({"role": "assistant", "content": assistant_msg})
response_stream = rag(
prompt=query,
system_prompt=RAG_SYSTEM_PROMPT,
search=hybrid_search,
messages=formatted_messages,
max_contexts=5,
config=my_config
)
full_response = ""
for chunk in response_stream:
full_response += chunk
await msg.stream_token(chunk)
await msg.send()
except Exception as e:
logger.error(f"RAG error: {str(e)}")
# If RAG fails, fall back to general Claude
await handle_fallback(query, msg)
return
else:
logger.info("No relevant chunks found, falling back to general Claude response") logger.info("No relevant chunks found, falling back to general Claude response")
await handle_fallback(query, msg) await handle_fallback(query, msg)
return return
# Update chat history # Use RAG for response generation
chat_history.append((query, full_response)) try:
cl.user_session.set("chat_history", chat_history) chat_history = cl.user_session.get("chat_history", [])
formatted_messages = []
for user_msg, assistant_msg in chat_history:
formatted_messages.append({"role": "user", "content": user_msg})
formatted_messages.append({"role": "assistant", "content": assistant_msg})
response_stream = rag(
prompt=query,
system_prompt=RAG_SYSTEM_PROMPT,
search=hybrid_search,
messages=formatted_messages,
max_contexts=5,
config=my_config
)
full_response = ""
for chunk in response_stream:
full_response += chunk
await msg.stream_token(chunk)
# Update chat history
chat_history.append((query, full_response))
cl.user_session.set("chat_history", chat_history)
except Exception as e:
logger.error(f"RAG error: {str(e)}")
await handle_fallback(query, msg)
except Exception as e: except Exception as e:
error_msg = f"Error processing your question: {str(e)}" error_msg = f"Error processing your question: {str(e)}"
logger.error(error_msg) logger.error(error_msg)
await msg.send(content=error_msg) # Use send instead of update await cl.Message(content=error_msg).send()
async def handle_fallback(query: str, msg: cl.Message) -> None: async def handle_fallback(query: str, msg: cl.Message) -> None:
"""Handle fallback to Claude when RAG is not available or fails.""" """Handle fallback to Claude when RAG is not available or fails."""