What the Data for This Category Looks Like
This category’s core data comes from the random inspection and public disclosure regulatory platform, enterprise credit information public disclosure system, industry regulatory systems, and law enforcement officer directory. Data updates occur once per month. Daily generated documents include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result disclosures. The inspection target list includes fields such as unified social credit codes and business addresses. The law enforcement officer directory links law enforcement certificate numbers to their affiliated regulatory grids. The inspection item list clarifies regulatory categories and specific law enforcement content.
Constraints on Deployment and Upgrade
Configure scheduled synchronization tasks during deployment to meet the monthly data update requirement. Ensure core data such as inspection targets and law enforcement personnel aligns with the regulatory platform in real time. Properly configure database connection parameters when integrating data from multiple sources. This avoids connection timeouts during cross-system synchronization. Set appropriate processing rules for different types of regulatory documents to match their diverse structures. This prevents entry errors caused by field mismatches. Enable strict data verification after deployment to ensure the accuracy of regulatory result disclosures. This prevents missed disclosures or non-compliant extraction.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–15 | Adapt to concurrent connection needs when synchronizing inspection target lists in batches monthly, to avoid exhausting database connections |
REDIS_URL | Redis address with authentication parameters (local or managed) | Cache law enforcement personnel directories and inspection item lists, reducing repeated queries to the regulatory platform |
STORAGE_S3_ENDPOINT | Fill in according to the address of the deployed object storage service provider | Store attachments of on-site inspection records and scanned copies of rectification notices, meeting regulatory document archiving requirements |
ROOT_KEY | Randomly generated 32-bit string | Serve as the highest-privilege key for FastGPT backend management, ensuring access security for internal office systems |
FE_DOMAIN | Public domain name of the deployment server | Configure the frontend page access address, enabling internal employees to access the system normally through the office network |
Three Common Mistakes
- Invalid token during domestic large model connection: Symptom: The conversation interface returns "token verification failed". Cause: Incorrect configuration of the OneAPI forwarding address and token permissions. The FastGPT request source is not added to the allow list.
- Docker container failure after source code deployment: Symptom: The container exits immediately after startup, returning a port occupation error. Cause: Failure to modify the default port configuration. The server port is occupied by other services in the internal office system.
- Timeout during batch inspection target list synchronization: Symptom: The synchronization task status shows "timeout". Cause: The
DB_MAX_LINKconfiguration value is too low. Insufficient concurrent connections cannot support batch data reading.
How to Confirm Configuration Completion
- Access the frontend address corresponding to
FE_DOMAIN. Confirm the FastGPT internal office page loads normally, with no resource loading failure prompts. - Run a single inspection target list synchronization task. Confirm data is correctly imported into the knowledge base after task completion, with no missing fields or format errors.
- Log in to the FastGPT backend management interface using
ROOT_KEY. Confirm large model connection and data synchronization rules can be configured normally. - Upload a PDF document of an on-site inspection record. Confirm the inspection result fields are parsed and extracted normally, with no garbled characters or content loss.
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.