What this category of data looks like
Core business documents for this category include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result public notices. Data is primarily sourced from the "Double Random, One Public" regulatory platform, enterprise credit information public disclosure system, industry regulatory systems, and the law enforcement officer directory. The update frequency is monthly. Common data fields include inspection target identifiers, law enforcement officer numbers, inspection item entries, rectification requirements, and public disclosure status. The content size of a single document varies based on the scale of the inspection batch.
What constraints these characteristics impose during deployment and upgrade
Deployments for monthly updated data sources must include stable persistent storage and batch synchronization mechanisms, to avoid data lag or loss. Deployments must adapt multi-dimensional storage and retrieval parameters to account for field differences across multiple document types, to ensure matching accuracy for different documents. Deployments must configure strict access control parameters to protect the sensitivity of inspection target and law enforcement officer data, preventing unauthorized access. Deployments must configure front-end access domain names and public file storage permissions to meet public access requirements for public notice data, ensuring regulatory results can be queried by the public.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
MONGODB_URI | mongodb://<username>:<password>@<host>:<port>/fastgpt?authSource=admin | Adapts to structured storage needs for multiple document sources, supports monthly batch data writes |
REDIS_URL | redis://:<password>@<host>:<port>/0 | Used to cache frequently accessed inspection item and law enforcement officer data, reduces database load |
FE_DOMAIN | https://<regulatory department exclusive domain> | Matches public access requirements for public notice data, ensures front-end pages can load public notice content normally |
DB_MAX_LINK | 20–30 | Adapts to connection count requirements for monthly batch synchronization, avoids connection exhaustion |
STORAGE_S3_ENDPOINT | Configure using the address of your local storage or compliant cloud storage service provider | Used to store files such as on-site inspection records and rectification notices, complies with regulatory data storage requirements |
FILE_TOKEN_KEY | Random string calibrated through actual testing | Used to generate file access tokens, protects access permissions for non-public regulatory documents |
Three common configuration errors
- Issue: A
{"code":500,"message":"URI malformed"}error appears after deployment. Cause: TheMONGODB_URIorREDIS_URLconfiguration contains unescaped special characters, or the connection string format does not meet database requirements. - Issue: After deployment on a cloud server, the front-end page cannot be accessed normally. Cause: The
FE_DOMAINconfiguration does not match the port exposed by the container and the public network domain name, or the security group does not open the corresponding access port. - Issue: A connection timeout error occurs during monthly data synchronization. Cause: The
DB_MAX_LINKconfiguration value is too low, causing database connection exhaustion during batch synchronization and preventing data from being written.
How to confirm the configuration is correct
- Run a database connection test command to verify that the
MONGODB_URIandREDIS_URLconfigurations can establish normal connections. - Access the address configured in
FE_DOMAINto confirm that the front-end page loads normally with no resource loading errors. - Upload a simulated on-site inspection record file to verify that the access token generated by
FILE_TOKEN_KEYcan access the file normally. - Run a batch data synchronization script once to confirm that the
DB_MAX_LINKconfiguration does not trigger a connection exhaustion error.
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.