Update opik_filter_pipeline.py

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Assaf 2025-06-24 12:59:39 +03:00 committed by GitHub
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commit b6cc9ae137
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@ -98,50 +98,47 @@ class Pipeline:
f"Opik error: {e} Please re-enter your Opik credentials in the pipeline settings." f"Opik error: {e} Please re-enter your Opik credentials in the pipeline settings."
) )
def cleanup_existing_trace(self, chat_id: str): def cleanup_stale_spans(self, chat_id: str):
"""Safely cleanup existing trace and span for a chat_id""" """Clean up any existing span for a chat_id to prepare for a new one"""
try: if chat_id in self.chat_spans:
if chat_id in self.chat_spans: try:
existing_span = self.chat_spans[chat_id] existing_span = self.chat_spans[chat_id]
try: # End the previous span before creating a new one
existing_span.end(output={"status": "interrupted", "reason": "new_request_received"}) existing_span.end(output={"status": "interrupted", "reason": "new_message_received"})
self.log(f"Ended existing span for chat_id: {chat_id}") self.log(f"Ended previous span for chat_id: {chat_id}")
except Exception as e: except Exception as e:
self.log(f"Warning: Could not end existing span: {e}") self.log(f"Warning: Could not end existing span for {chat_id}: {e}")
finally:
if chat_id in self.chat_traces: # Always remove from tracking
existing_trace = self.chat_traces[chat_id] self.chat_spans.pop(chat_id, None)
try:
existing_trace.end(output={"status": "interrupted", "reason": "new_request_received"})
self.log(f"Ended existing trace for chat_id: {chat_id}")
except Exception as e:
self.log(f"Warning: Could not end existing trace: {e}")
# Clean up the dictionaries
self.chat_traces.pop(chat_id, None)
self.chat_spans.pop(chat_id, None)
self.log(f"Cleaned up existing trace/span for chat_id: {chat_id}")
except Exception as e:
self.log(f"Error during cleanup for chat_id {chat_id}: {e}")
# Force cleanup even if there are errors
self.chat_traces.pop(chat_id, None)
self.chat_spans.pop(chat_id, None)
def cleanup_stale_traces(self, max_count: int = 100): def cleanup_orphaned_traces(self, max_count: int = 100):
"""Clean up traces if we have too many active ones""" """Clean up traces if we have too many active ones"""
if len(self.chat_traces) > max_count: if len(self.chat_traces) > max_count:
self.log(f"Too many active traces ({len(self.chat_traces)}), cleaning up oldest ones") self.log(f"Too many active traces ({len(self.chat_traces)}), cleaning up oldest ones")
# Clean up oldest traces (simple FIFO approach) # Clean up oldest traces (simple FIFO approach)
chat_ids_to_remove = list(self.chat_traces.keys())[:len(self.chat_traces) - max_count + 10] chat_ids_to_remove = list(self.chat_traces.keys())[:len(self.chat_traces) - max_count + 10]
for chat_id in chat_ids_to_remove: for chat_id in chat_ids_to_remove:
self.cleanup_existing_trace(chat_id) try:
if chat_id in self.chat_spans:
span = self.chat_spans[chat_id]
span.end(output={"status": "cleanup", "reason": "too_many_active_traces"})
except:
pass
try:
if chat_id in self.chat_traces:
trace = self.chat_traces[chat_id]
trace.end(output={"status": "cleanup", "reason": "too_many_active_traces"})
except:
pass
self.chat_traces.pop(chat_id, None)
self.chat_spans.pop(chat_id, None)
async def inlet(self, body: dict, user: Optional[dict] = None) -> dict: async def inlet(self, body: dict, user: Optional[dict] = None) -> dict:
""" """
Inlet handles the incoming request (usually a user message). Inlet handles the incoming request (usually a user message).
- If no trace exists yet for this chat_id, we create a new trace. - If no trace exists yet for this chat_id, we create a new trace.
- If a trace does exist, we clean it up and create a new one. - If a trace does exist, we reuse it and create a new span for the new user message.
""" """
if self.valves.debug: if self.valves.debug:
print(f"[DEBUG] Received request: {json.dumps(body, indent=2)}") print(f"[DEBUG] Received request: {json.dumps(body, indent=2)}")
@ -177,43 +174,59 @@ class Pipeline:
user_email = user.get("email") if user else None user_email = user.get("email") if user else None
# FIXED: Instead of asserting, clean up any existing trace/span
if chat_id in self.chat_traces:
self.log(f"Found existing trace for chat_id {chat_id}, cleaning up...")
self.cleanup_existing_trace(chat_id)
# Periodic cleanup to prevent memory leaks # Periodic cleanup to prevent memory leaks
self.cleanup_stale_traces() self.cleanup_orphaned_traces()
# Create a new trace and span # FIXED: Check if trace already exists
self.log(f"Creating new chat trace for chat_id: {chat_id}") trace = None
if chat_id in self.chat_traces:
# Reuse existing trace for continuing conversation
trace = self.chat_traces[chat_id]
self.log(f"Reusing existing trace for chat_id: {chat_id}")
# Clean up any existing span to prepare for new one
self.cleanup_stale_spans(chat_id)
else:
# Create a new trace for new conversation
self.log(f"Creating new chat trace for chat_id: {chat_id}")
try:
# Body copy for trace
trace_body = body.copy()
# Extract metadata from body
trace_metadata = trace_body.pop("metadata", {})
trace_metadata.update({"chat_id": chat_id, "user_id": user_email})
# We don't need the model at the trace level
trace_body.pop("model", None)
trace_payload = {
"name": f"{__name__}",
"input": trace_body,
"metadata": trace_metadata,
"thread_id": chat_id,
}
if self.valves.debug:
print(f"[DEBUG] Opik trace request: {json.dumps(trace_payload, indent=2)}")
trace = self.opik.trace(**trace_payload)
self.chat_traces[chat_id] = trace
self.log(f"New trace created for chat_id: {chat_id}")
except Exception as e:
self.log(f"Error creating Opik trace for chat_id {chat_id}: {e}")
# Continue without Opik logging for this request
return body
# Create a new span (whether trace is new or existing)
try: try:
# Body copy for traces and span # Body copy for span
trace_body = body.copy()
span_body = body.copy() span_body = body.copy()
# Extract metadata from body
metadata = trace_body.pop("metadata", {})
metadata.update({"chat_id": chat_id, "user_id": user_email})
# We don't need the model at the trace level
trace_body.pop("model", None)
trace_payload = {
"name": f"{__name__}",
"input": trace_body,
"metadata": metadata,
"thread_id": chat_id,
}
if self.valves.debug:
print(f"[DEBUG] Opik trace request: {json.dumps(trace_payload, indent=2)}")
trace = self.opik.trace(**trace_payload)
span_metadata = metadata.copy() span_metadata = metadata.copy()
span_metadata.update({"interface": "open-webui"}) span_metadata.update({"interface": "open-webui", "user_id": user_email})
# Extract the model from body # Extract the model from body
span_body.pop("model", None) span_body.pop("model", None)
@ -224,8 +237,11 @@ class Pipeline:
model = span_metadata.get("model", {}).get("id", None) model = span_metadata.get("model", {}).get("id", None)
provider = span_metadata.get("model", {}).get("owned_by", None) provider = span_metadata.get("model", {}).get("owned_by", None)
# Generate unique span name with timestamp
span_name = f"{chat_id}-{int(time.time() * 1000)}"
span_payload = { span_payload = {
"name": chat_id, "name": span_name,
"model": model, "model": model,
"provider": provider, "provider": provider,
"input": span_body, "input": span_body,
@ -237,18 +253,12 @@ class Pipeline:
print(f"[DEBUG] Opik span request: {json.dumps(span_payload, indent=2)}") print(f"[DEBUG] Opik span request: {json.dumps(span_payload, indent=2)}")
span = trace.span(**span_payload) span = trace.span(**span_payload)
self.chat_traces[chat_id] = trace
self.chat_spans[chat_id] = span self.chat_spans[chat_id] = span
self.log(f"Trace and span objects successfully created for chat_id: {chat_id}") self.log(f"New span created for chat_id: {chat_id}")
except Exception as e: except Exception as e:
self.log(f"Error creating Opik trace/span for chat_id {chat_id}: {e}") self.log(f"Error creating Opik span for chat_id {chat_id}: {e}")
# Clean up on error
self.chat_traces.pop(chat_id, None)
self.chat_spans.pop(chat_id, None)
# Don't fail the request, just log the error # Don't fail the request, just log the error
self.log(f"Continuing without Opik logging for this request")
return body return body
@ -261,19 +271,17 @@ class Pipeline:
chat_id = body.get("chat_id") chat_id = body.get("chat_id")
# If no trace or span exist, attempt to register again # If no span exists, we can't log this response
if chat_id not in self.chat_traces or chat_id not in self.chat_spans: if chat_id not in self.chat_spans:
self.log( self.log(
f"[WARNING] No matching chat trace found for chat_id: {chat_id}, chat won't be logged." f"[WARNING] No active span found for chat_id: {chat_id}, response won't be logged."
) )
return body return body
trace = self.chat_traces[chat_id]
span = self.chat_spans[chat_id] span = self.chat_spans[chat_id]
try: try:
# Body copy for traces and span # Body copy for span
trace_body = body.copy()
span_body = body.copy() span_body = body.copy()
# Get the last assistant message from the conversation # Get the last assistant message from the conversation
@ -314,31 +322,25 @@ class Pipeline:
) )
span.end(**span_payload) span.end(**span_payload)
self.log(f"span ended for chat_id: {chat_id}") self.log(f"Span ended for chat_id: {chat_id}")
# Chat_id is already logged as trace thread
trace_body.pop("chat_id", None)
# Optionally update the trace with the final assistant output
trace.end(output=trace_body)
self.log(f"trace ended for chat_id: {chat_id}")
except Exception as e: except Exception as e:
self.log(f"Error ending Opik trace/span for chat_id {chat_id}: {e}") self.log(f"Error ending Opik span for chat_id {chat_id}: {e}")
# Try to end gracefully even if there are errors # Try to end gracefully even if there are errors
try: try:
span.end(output={"status": "error", "error": str(e)}) span.end(output={"status": "error", "error": str(e)})
except: except:
pass pass
try:
trace.end(output={"status": "error", "error": str(e)})
except:
pass
finally: finally:
# Always clean up the dictionaries, even if ending the trace/span failed # Clean up the span reference (but keep the trace for potential future messages)
self.chat_traces.pop(chat_id, None)
self.chat_spans.pop(chat_id, None) self.chat_spans.pop(chat_id, None)
self.log(f"Cleaned up trace/span references for chat_id: {chat_id}") self.log(f"Cleaned up span reference for chat_id: {chat_id}")
# NOTE: We deliberately DON'T clean up the trace here, as it should persist
# for the duration of the conversation. Traces will be cleaned up by:
# 1. The cleanup_orphaned_traces method when there are too many
# 2. Server restart/shutdown
# 3. Manual cleanup if needed
return body return body