WorkflowCheckpointResumeError
ai_workflows.errors.WorkflowCheckpointResumeError
Stack trace
ai_workflows.errors.WorkflowCheckpointResumeError: Failed to resume workflow checkpoint: corrupted or missing checkpoint data
File "/app/ai_workflows/engine.py", line 234, in resume_checkpoint
checkpoint_data = self._load_checkpoint(checkpoint_id)
File "/app/ai_workflows/storage.py", line 89, in _load_checkpoint
raise WorkflowCheckpointResumeError("Checkpoint data corrupted or missing") Why it happens
This error happens because the workflow engine attempts to load a checkpoint state that is either corrupted, incomplete, or missing from the storage backend. Causes include failed checkpoint writes, storage connectivity issues, or incompatible checkpoint formats after upgrades.
Detection
Monitor checkpoint load operations and catch WorkflowCheckpointResumeError exceptions; log checkpoint IDs and storage responses to detect missing or corrupted checkpoint data before workflow failure.
Causes & fixes
Checkpoint data file is corrupted or partially written due to interrupted save operation
Implement atomic checkpoint writes using temporary files and rename operations to ensure complete checkpoint data is saved before marking it valid.
Checkpoint storage backend is unreachable or has permission issues
Verify storage connectivity and permissions; add retry logic with exponential backoff for checkpoint load and save operations.
Workflow engine version upgrade introduced incompatible checkpoint format
Add checkpoint migration scripts or version compatibility checks to handle older checkpoint formats gracefully.
Checkpoint ID requested for resume does not exist or was deleted
Validate checkpoint existence before resume attempts and provide fallback logic to restart workflow or create a new checkpoint.
Code: broken vs fixed
from ai_workflows import WorkflowEngine
engine = WorkflowEngine()
# This line triggers WorkflowCheckpointResumeError if checkpoint is missing or corrupted
engine.resume_checkpoint('checkpoint_123')import os
from ai_workflows import WorkflowEngine, WorkflowCheckpointResumeError
engine = WorkflowEngine()
try:
engine.resume_checkpoint('checkpoint_123')
except WorkflowCheckpointResumeError as e:
print(f"Checkpoint resume failed: {e}")
# Add fallback or retry logic here
# Example: restart workflow or alertWorkaround
Catch WorkflowCheckpointResumeError exceptions and implement a fallback to restart the workflow from scratch or from the last known good checkpoint manually.
Prevention
Use atomic checkpoint writes, validate checkpoint integrity on save and load, implement version compatibility for checkpoint formats, and monitor storage health to prevent checkpoint resume failures.