What data falls under this category
Data for this category originates from project document libraries, configuration lists, meeting minutes, and test reports. Updates occur only after a project phase concludes or the full project is delivered. Daily processed documents include completion documents, configuration manuals, training records, and acceptance certificates. These typically contain fields such as project number, document version, signing date, and archiving identifier. There are no uniform mandatory units. Some documents require association with their corresponding project’s unique identifier to complete archiving association.
What constraints do these characteristics impose on scheduled tasks and automation
This category’s data updates are not frequent. Batch changes only trigger at project milestones. As such, scheduled tasks should not use overly short execution cycles, to avoid repeatedly processing unchanged archived documents. Different projects have varying document types and field combinations. Automated workflows must support configuring matching rules per project to adapt to document differences across projects. The requirement to link documents to project unique identifiers means automated tasks must carry project context for data validation, to prevent cross-project document confusion. Additionally, the document integrity check step relies on multi-source data comparison. Sufficient processing time must be reserved.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled task trigger timing | Trigger by project milestone, or execute once every 7 days | Matches the update frequency of this category, which follows phase or project completion; avoids unnecessary executions |
| Document chunk length | 800–1200 characters | Adapts to the typical length of single documents such as completion documents and acceptance certificates; reduces the risk of chunk loss |
| Auto-copy permission toggle | Enable clipboard auto-copy | Eliminates manual copy operation costs; fits bulk document handover scenarios |
| Directory retention rule | Retain original document directory structure | Meets user needs to preserve original content; prevents automatic directory deletion |
| Data deduplication threshold | Calibrate based on actual testing | Prevents automatic duplicate dataset generation; aligns with version consistency requirements for project documents |
| Maximum documents processed per run | 50 documents per run | Adapts to the processing load of bulk archiving; avoids timeouts or resource exhaustion |
Three common misconfigurations
- Setting a document chunk length of 3000 characters causes document chunk loss. This occurs because when a single document’s content exceeds the chunk threshold, the index generation for subsequent chunks is not triggered correctly, leading to partial content not being archived.
- A prompt appears stating browser auto-copy is unavailable when copying documents. This happens because clipboard permissions for the page were not granted in advance, or browser privacy settings blocked the auto-copy request.
- Multiple sets of indexes are automatically added to the dataset. This occurs because the scheduled task fails to correctly identify already archived document versions, triggering the data index generation process repeatedly.
How to confirm configuration is correct
- Manually trigger a scheduled task, then check the task logs of FastGPT v4.17.0 for unprocessed document chunk loss errors. Confirm the chunk configuration is active.
- Upload a test document with a directory structure, then check if the archived document retains the original directory structure. Confirm the directory retention rule is active.
- Submit a test document, verify that the page automatically pops up a clipboard permission request. Confirm the auto-copy configuration is correct.
- Wait for the preset 7-day execution cycle, then check if the number of indexes in the dataset matches the number of uploaded documents. Confirm the deduplication rule is active.
The values given 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.