What data for this category includes
Data for this category originates from object storage, data warehouses, annotation platforms, and customer acceptance feedback. It covers four daily generated document types: dataset descriptions, version records, delivery checklists, and acceptance reports. Data is updated per delivered dataset batch or version iteration. Document fields include version number, sample count, data source identifier, difference description, and delivery integrity check items. Common units are items, MB, and days. Corresponding version annotation and acceptance information must be linked to the data.
Constraints imposed on scheduled tasks and automation
Data for this category is updated per batch or version. Scheduled tasks must use trigger cycles that match delivery rhythms to avoid repeated pulls or missed updates. Multi-source data association requires task configurations to include cross-data-source pull permissions. This ensures consistency between documents such as dataset descriptions and acceptance reports. Fields must be bound to matching version information. Tasks must validate field integrity to prevent delivery errors from missing version numbers or mismatched sample counts. Errors impact training reproducibility and customer acceptance. Tasks must include failure retry and alert mechanisms to avoid data mixing or acceptance failures.
How to configure settings
The dataset delivery and version management module in FastGPT v4.17.0 supports the following configuration items:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Task trigger cycle | 1 day | Matches the delivery update rhythm of each dataset batch, avoids frequent pulls that waste resources |
| Data source pull scope | Limit to object storage and data warehouse paths associated with the current version | Only pull datasets and documents for the corresponding version, prevents cross-version data mixing |
| Validation rule configuration | Validate version number, sample count, and delivery checklist integrity | Ensures fields in summary documents are complete, reduces customer acceptance risks |
| Failure retry count | 3 times, retry interval 60 seconds | Addresses temporary network fluctuations or temporary data source unavailability |
| Alert trigger threshold | Trigger alert after 2 consecutive task failures | Notifies the data team promptly to resolve issues, avoids impacting delivery progress |
| Summary document generation path | Bind to the project-specific knowledge base directory | Enables the data team to quickly retrieve version summary information |
Three Common Configuration Errors
- Empty results returned when calling the dataset summary API: The associated version model parameter is not specified correctly, so delivery information for the corresponding dataset is not matched.
- Excessive resource consumption caused by frequent scheduled task triggers: No reasonable trigger cycle is set, and pulls run hourly, exceeding the data source’s access frequency limits.
- Generated release note documents cannot be automatically copied: The same-origin domain whitelist is not configured, so the browser blocks cross-domain copy requests.
How to Verify Correct Configuration
- Manually trigger the configured scheduled task, and confirm the generated release notes and operation reports include all associated documents for the current version
- Check task execution logs to confirm the pulled data source range matches the configured version association path
- Trigger a simulated failure scenario to confirm alert notifications follow the configured push rules
- Inspect summary document fields to confirm required content is included: version number, sample count, delivery integrity check items, and other mandatory fields
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.