This configuration guide is compatible with FastGPT v4.17.0.
What the Data for This Category Looks Like
Data for this category originates primarily from WAF, IDS, firewalls, and threat intelligence platforms. Update cadence follows daily batch sync or is triggered by security events. Daily associated documents include rule change tickets, intercept logs, false positive analysis reports, and policy rollback records. Fields across these documents include rule unique identifiers, trigger event times, intercepted traffic characteristics, false positive rates, rollback operators, and more. There is no unified mandatory format, and documents must be archived per enterprise operation and maintenance processes.
Constraints Imposed on Scheduled Tasks and Automation Workflows
Dispersed data sources require scheduled tasks to adapt to multi-protocol pull logic, to avoid overloading device interfaces during single pulls. Daily or event-triggered update cadences require task scheduling intervals to avoid business peak hours, while covering full data update requirements. Non-uniform document formats require automated tools to extract and standardize fields, adding pre-validation steps. Time-consuming tasks such as false positive analysis and rule gray release require splitting execution steps via scheduled tasks, to reduce single-run pressure. Severe failure impact requires triggering tiered alerts when tasks fail, to prevent business anomalies caused by unaddressed delays.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Task Trigger Cycle | Every 4 hours / 2:00 AM daily | Adapts to daily or event-based update cadences, avoids business peak hours |
| Single Pull Data Volume | Top 1000 intercept logs | Prevents exceeding the load limit of WAF interfaces during single pulls |
| Log Parsing Concurrency | 8 threads | Balances parsing efficiency and server resource usage |
| Failure Retry Count | 3 times | Covers pull failures caused by temporary network fluctuations or interface jitter |
| Task Timeout Duration | 1800 seconds | Matches the maximum time required for parsing batch intercept logs and false positive samples |
| Alert Trigger Threshold | 2 consecutive task failures | Prevents invalid alerts triggered by single temporary anomalies |
Three Common Misconfigurations
- Symptom: Some fields are empty when synchronizing WAF intercept logs on a scheduled basis. Cause: No data source format validation logic is configured. Log fields returned by older devices do not match preset templates.
- Symptom: Business intercept rules do not take effect after a scheduled task for rule gray release runs. Cause: No post-trigger step for policy activation is configured. Only local updates to rule configurations are completed.
- Symptom: Results from false positive sample verification tasks executed by AI chat nodes are forcibly output to the front-end chat flow. Cause: The chat output switch for the node is not disabled. Execution results are synced to the user chat interface by default.
How to Confirm Proper Configuration
- Manually trigger a configured scheduled task, and verify that the number of pulled data entries matches the preset single pull limit.
- View detailed task execution logs, and confirm that all data source pull, log parsing, and result generation steps complete without abnormal errors.
- Simulate a task failure scenario, and confirm that the specified alert channel triggers the corresponding notification.
- Check analysis documents generated by the task, and confirm that fields and formats comply with operation and maintenance archiving specifications.
The values listed here are common starting configurations, and should be assessed against relevant deployment samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.