What this category’s data looks like
Data for this category comes from the National Press and Publication Administration service platform, copyright registration systems, game package files, and materials submitted by operating institutions. Core daily documents include declaration request files, game application forms, copyright certificates, and review reports. Data updates during a single game’s declaration cycle are irregular. Data fields include declaration batch numbers, copyright registration numbers, original review opinions, package verification values, and more. There is no fixed, uniform batch update rhythm. Each individual data entry links to all full-link files for the complete declaration process. This page applies to FastGPT v4.17.0.
Constraints for conversation logs and auditing
Data sources are scattered and updates are irregular. Conversation logs must bind a unique chatId to link to the full declaration process of a single game. This prevents cross-batch interaction data from being mixed. Core documents are formal approval materials. Audit logs must retain every approval opinion modification and material retrieval record corresponding to responseChatItemId. This ensures that material consistency check operations can be traced. Errors in this category directly impact approval progress. The audit link must fully record the trigger conditions and parameters of each interaction. This supports targeted post-incident review of delays or failures. Each individual data entry links to full-link declaration files. Logs must label the associated declaration batch number to enable quick problem location. Logs must also use traceable storage logic to prevent data loss from disrupting post-incident review of approval processes.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Conversation log storage granularity | Store single batches split by chatId | Single game declaration data is independent, prevents cross-batch data contamination |
| Audit log retention period | 180 days | Matches the post-incident review cycle for this category’s full approval process |
responseChatItemId association rule | Bind to each material retrieval request | Ensures every call record for review materials can be traced |
detail log enablement status | Fully enabled | Fully records interaction details for troubleshooting and responsibility tracing |
| Retrieved document association label | Display declaration batch number | Quickly locates problem links in the corresponding declaration process |
| Model call timeout threshold | 600 seconds | Matches the average time range for the most time-consuming material check steps in this category |
Three Common Misconfigurations
- Phenomenon: FastGPT starts, but port 3000 is inaccessible. Logs show a database connection failure. Cause: The storage path for declaration data is not bound to a persistent volume. This causes database initialization failure, and the batch-associated conversation logs cannot be loaded.
- Phenomenon: In the conversation window for the same declaration batch, retrieval speed slows as interaction count increases. Single retrieval takes excessive time. Cause: Logs are not split and stored by
chatId. This leads to excessive data volume per batch, and redundant data loads during retrieval. - Phenomenon: Model call errors prevent FastGPT from generating approval-related replies. Logs show a network connection failure. Cause: Full
detaillog recording is not enabled. This makes it impossible to locate network parameter configuration errors during model calls.
How to Verify Proper Configuration
- View the conversation log list. Confirm that each log’s
chatIdis only associated with a single declaration batch number. No cross-batch logs are mixed. - Retrieve audit logs. Confirm that
responseChatItemIdis bound to every material retrieval request record. No records are missing. - Check the
detaillog enablement status. Confirm that all interaction details are fully recorded, including model call parameters and return results. - Verify the timeout threshold configuration. Confirm that an alert triggers when retrieval time exceeds the preset threshold. The preset threshold must match the average time range for this category.
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.