Data Profile for This Category
Dataset delivery and version management data typically originates from object storage, data warehouses, annotation platforms, and customer acceptance feedback. Updates are triggered per dataset batch or version. Supporting documents include dataset descriptions, version records, delivery lists, and acceptance reports. Core fields include version number, dataset capacity, total sample count, delivery path, and acceptance status. Most field types are text or numeric, with no specialized units.
Constraints Imposed on Scheduled Tasks and Automation
Scattered data sources require scheduled tasks to support multiple storage interfaces, and adapt to access formats and permission rules for different data sources. Irregular update schedules require tasks to support both on-demand triggering and scheduled scheduling. This balances real-time delivery and periodic verification needs. Multiple supporting documents must be updated in sync with dataset versions. Tasks must link to version numbers to enable full-link traceability. Fields such as total sample count and capacity must be verified in real time to prevent missing or over-limit delivery packages. Customer acceptance feedback must be automatically written to version records, to provide complete traceable data for fault retrospectives.
Configuration Settings
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Task Trigger Mode | On-demand triggering + daily scheduled verification | Adapts to per-batch or per-version update rhythms, balances real-time delivery and redundant verification |
| Version Association Verification Threshold | 1000 MB / 100,000 samples | Matches typical dataset delivery scales, prevents over-limit delivery or missing samples |
| Multi-source Data Sync Interval | 300 seconds | Balances data real-time performance and system load, adapts to access delays across multiple storage sources |
| Document Sync Trigger Condition | After dataset update completes | Ensures delivery documents are fully bound to dataset versions, prevents version misalignment |
| Failure Retry Count | 3 times | Covers common faults such as temporary network fluctuations, reduces manual intervention |
Three Common Misconfigurations
- Symptom: After scheduled sync of a knowledge base linked to a static page, updated page content does not sync to the knowledge base. Task logs show "no updated content matched". Cause: Version association verification logic is not configured. The task only triggers a single sync without binding the page version, so it cannot recognize updates to the static page.
- Symptom: Image links are missing domain names in dataset delivery packages. The delivery list shows empty image fields. Cause: Path completion logic for multi-source data sync is not configured. Only local relative paths are extracted, without appending the object storage domain name.
- Symptom: Scheduled calls to the dataset delivery interface return 404 Not Found, and the task status is marked as failed. Cause: The validity of the object storage path is not verified. The target storage path was deleted or changed when the task triggered.
How to Verify Configurations Are Correct
- Initiate a test task manually, confirm that delivery lists and version records are generated synchronously, and verify the task trigger logic functions as expected.
- Simulate an over-limit dataset scenario, verify whether the verification logic blocks abnormal delivery, and confirm that threshold configurations should be calibrated based on actual delivery scales.
- Disconnect temporary storage connections, observe whether the task triggers the retry mechanism, and confirm that the failure handling logic operates normally.
- Modify static page content, wait for the scheduled task to trigger, verify whether the knowledge base is updated synchronously, and confirm that the version association logic must bind page update markers.
The values provided are common starting points and should be measured against the reader's own 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.