Task de-emphasis control program
Task duplication during multi-intelligence collaboration leads to resource wastage and can be avoided by the following mechanisms:
- Mission Fingerprinting: in
coordinator.py
enableenable_fingerprint=True
, generate unique hashes based on task characteristics - distributed lock: Cross-Process Locking with Redis
redis_lock.py
The following are some of the key elements of the project, which ensure the atomicity of the key segments - Status Tracking: in
task_manager
Module adds execution status markers to detect surviving tasks via heartbeat mechanism - de-whitelist: in
config.yaml
Configure the de-tasking type under the exclude_rules of the
Recommended to be turned on during the testing phase--verbose
Parameter Observation Task Distribution Log, by adjustingtask_timeout
parameter can automatically recall zombie tasks.
This answer comes from the articleJoyAgent-JDGenie: an open source multi-intelligence framework to support automated processing of complex tasksThe