Reference only; verify against the target FastGPT release and deployment documentation.
What Data for This Category Looks Like
Data for this category originates from safety production supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems, and is updated daily. Daily business documents include hazard inspection lists, hazard management ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Data fields include hazard identifiers, inspection subjects, rectification responsibility subjects, rectification time limits, review statuses, and additional relevant fields. All data is generated around the hazard closed-loop management process, with no additional custom units.
Constraints Imposed by These Characteristics During Deployment and Upgrade
The multi-source, daily updated data requires a persistent database connection during deployment. This ensures incremental data synchronization runs without interruption. The need to parse multiple types of business documents requires multi-format compatible file storage and parsing components during deployment. Hazard data is linked to the full rectification and review workflow. Upgrades must not disrupt this business workflow. Use incremental upgrade mode. Data fields are centered on hazard closed-loop management. Ensure configured knowledge base associated fields match business document fields. Mismatched fields will cause data matching failures, which reduce the accuracy of the hazard inspection and governance process guidance.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:port/fastgpt_security?authSource=admin | Stores structured business data such as hazard inspection lists and management ledgers, and supports daily incremental synchronization requirements |
REDIS_URL | redis://:your-redis-password@redis-host:6379/0 | Caches frequently accessed hazard rectification records and review data, reducing database query load |
STORAGE_S3_ENDPOINT | http://local-minio:9000 or official endpoint of your cloud storage provider | Stores unstructured documents such as rectification notices and major hazard suspension and supervision orders, compatible with local or cloud deployment scenarios |
DB_MAX_LINK | 20–30 concurrent connections | Matches the concurrent volume of daily incremental data synchronization, preventing database connection pool resource exhaustion |
FE_DOMAIN | https://your-organization-domain.com | Configures the access domain name for the business handling process guidance page, ensuring normal connectivity of the front-end link |
FILE_TOKEN_KEY | 32-bit random secret string | Ensures permission security for business document upload and parsing, preventing unauthorized access to hazard data |
Three Common Configuration Mistakes
- Uploading business documents such as hazard inspection lists or rectification notices returns a 413 Request Entity Too Large error. This occurs when the file upload limit configuration is not adjusted, so documents exceeding the default threshold cannot be parsed or stored.
- After deploying via Docker on Ubuntu 22.04, accessing the specified IP:3000 shows a continuously loading blank page. This happens when
FE_DOMAINis not correctly configured to the public network IP or bound domain name of the deployment server, causing an abnormality in the front-end resource loading link. - Calling a locally deployed large language model returns an empty result. This occurs when the
REDIS_URLcache for session context is not correctly configured, so the model cannot retrieve historical hazard data during calls, resulting in an empty response.
How to Confirm Successful Configuration
- Run a database connection test to verify the validity of configurations including
MONGODB_URIandDB_MAX_LINK, and confirm that daily incremental data can be synchronized normally. - Upload a hazard inspection list document to verify that the
STORAGE_S3_ENDPOINTstorage function andFILE_TOKEN_KEYpermission check work correctly. - Access the configured
FE_DOMAINto confirm that the front-end page loads normally and displays the business handling process guidance interface. - Trigger a simulated hazard data update to verify that the
REDIS_URLcache configuration can normally cache updated hazard records.
The values provided here are common starting points. They should be evaluated against the user’s own specific samples and operational requirements.
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.