What the data for this category looks like
This category's data originates from regulatory and rule databases, higher-level law databases, departmental policy document repositories, and administrative regulatory document filing systems, with irregular update frequencies. Daily processed documents include regulatory document drafts, drafting explanatory notes, legality review opinions, solicited comment summaries, filing reports, and similar materials. Most document structures include fields such as issuing authority, clause content, authority basis, and solicited comment feedback. There is no unified fixed unit; processing requirements must be matched to the content volume of each individual document.
What constraints these characteristics impose on the deployment and upgrade phase
Configure a link that can periodically synchronize with external databases during deployment, as most data sources are official public databases with irregular update frequencies. Reserve storage and processing resources to adapt to different file sizes, since daily document volumes vary widely from a few pages of drafts to dozens of pages of filing reports. Support import logic for different data formats during deployment, as multi-source heterogeneous data must be integrated. Strengthen verification steps during upgrades to avoid erroneous output, as errors can impact policy release and filing. Ensure permission isolation configuration for cross-department collaboration scenarios.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Point to a dedicated MongoDB instance on the government intranet, set the connection pool size to 10–15 | This category needs to store multi-source heterogeneous regulatory and review documents, so the connection pool size must adapt to the concurrent demands of batch file parsing |
REDIS_URL | Bind to a dedicated Redis cache instance on the government cloud, set the cache expiration time to 3600 seconds | Used to cache frequently accessed higher-level law clauses and policy repository data, reducing the frequency of external interface calls |
STORAGE_S3_ENDPOINT | Configure as the intranet endpoint of the government cloud object storage service | Adapt to compliance storage requirements in government scenarios, avoiding data exfiltration from the government network |
DB_MAX_LINK | Set to 8–12 | Limit the number of database connections to avoid resource exhaustion caused by concurrent requests from multiple departments |
ROOT_KEY | Uniformly generated and distributed by the government information management department | Ensure that background system operations have controllable permissions, complying with government system security specifications |
FE_DOMAIN | Configure as a dedicated domain name on the government intranet | Restrict system access scope to ensure compliance in internal office scenarios |
Three Common Configuration Mistakes
- Phenomenon: After Docker deployment, repeated slow operation related errors appear in logs when parsing regulatory documents, and MongoDB connection responses time out. Cause:
DB_MAX_LINKis not configured, or the value is set too large, leading to exhaustion of the database connection pool and failure to respond to parsing requests in a timely manner. - Phenomenon: The OneAPI page opens with no available channels. Cause:
ROOT_KEYorFE_DOMAINis not configured correctly, leading to internal permission verification failure and failed normal loading of channel configurations. - Phenomenon: Dependencies cannot be obtained during offline deployment, and startup cannot be completed. Cause: The corresponding version of the Docker image and dependent resources were not pulled in advance, and the offline deployment package was not prepared.
How to Verify Successful Configuration
- Run
docker logs fastgptto view startup logs, confirm that there are no connection errors for configuration items such asMONGODB_URIandREDIS_URL. - Upload a small regulatory document draft, wait for parsing to complete, confirm that the corresponding entry has been generated in the knowledge base with no format errors.
- Access the backend address corresponding to
FE_DOMAIN, log in usingROOT_KEY, confirm that the channel configuration page can be loaded and edited normally. - Check the storage service configured via
STORAGE_S3_ENDPOINT, confirm that uploaded review documents can be read and downloaded normally.
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 2026-09-28.