What this category of data looks like
Daily documents for this category cover spot check plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and spot check result public notices. Data sources include the "Double Random Inspection and Public Disclosure" regulatory platform, enterprise credit information public disclosure system, industry regulatory systems, and law enforcement officer directory. Updates occur monthly. Common fields include inspection unit unified identifier, law enforcement officer ID number, inspection item category, and rectification completion status. No fixed unified unit field exists. Only specific business parameters corresponding to each document type are used.
What constraints these characteristics impose during deployment and upgrade
The monthly update frequency requires scheduled synchronization tasks during deployment. It also requires adapting to interface permissions from multiple source systems. Multiple business document types need support for multi-format parsing. The party building learning Q&A scenario requires linking regulatory business content with party building knowledge. Data storage compliance must be maintained. Consequences of errors include missed public disclosure of inspection results, repeated disturbances to enterprises, and non-compliant selection of regulatory targets. Therefore, the deployment link must strictly control data access permissions and accuracy. External invocation scenarios require optimizing interface response speed to avoid disrupting daily use by regulatory staff.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
STORAGE_S3_ENDPOINT | Internal object storage service address of the regulatory department | Used to store regulatory documents and party building learning materials, ensuring data localization compliance |
REDIS_URL | Address of a locally deployed Redis instance, configure access password | Used to cache high-frequency Q&A and synchronization task status, reducing interface response delay |
DB_MAX_LINK | 20–30 connections | Controls the upper limit of the database connection pool, adapting to batch synchronization tasks for monthly updated data |
FILE_TOKEN_KEY | Unified internal file access token key of the regulatory system | Used to authorize parsing of internal stored regulatory document addresses, preventing unauthorized access |
ROOT_KEY | Root key generated according to internal permission rules | Used to configure the highest permissions for workflows, ensuring the content review chain of party building Q&A is controllable |
Three common mistakes
- Enabling file upload functionality triggers document address parsing errors. A file parsing failure prompt appears. The cause is that
FILE_TOKEN_KEYis not configured, or access permissions for internal storage addresses are not granted. - External platform calls to the chat interface experience response timeouts. A 504 status code is returned by the interface. The cause is that
DB_MAX_LINKis set too low, causing the database connection pool to be exhausted and unable to handle batch synchronization tasks and Q&A requests. - Errors related to chakra-ui/react occur during local compilation and deployment. Logs showing dependency conflicts appear during the npm install phase. The cause is that the local Node.js version does not meet the runtime requirements of FastGPT v4.17.0.
How to confirm configurations are correct
- Run the preset monthly data synchronization task. Check whether core documents such as spot check plans and inspection target lists are successfully imported into the knowledge base, with no missing fields or format abnormalities.
- Call the external chat interface. Verify that the response time meets expectations, with no continuous timeouts.
- Upload regulatory documents and party building learning materials. Verify that the parsed content can be normally used for Q&A retrieval.
- Check the storage service configured via
STORAGE_S3_ENDPOINT. Confirm that document upload and download processes work normally.
The values provided here are common starting points, and should be evaluated 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.