What data for this category looks like
This category of data typically comes from urban management law enforcement platforms, urban operation grid platforms, video surveillance, and public complaint work orders from entities such as urban management law enforcement bureaus and street comprehensive law enforcement teams. The update frequency is daily. Daily documents include inspection records, case filing approval forms, on-site photos, rectification notices, penalty decisions, and case closure reports. Most data fields include case numbers, violation locations, responsible parties, disposal progress, and more. The data covers structured forms, images, and unstructured document types.
What constraints these characteristics impose during deployment and upgrade
Data sources for this category are scattered and include multiple document types. Deployments must support multi-source data integration and multi-format parsing configuration. The daily update frequency requires scheduled synchronization tasks to be set up. Upgrades must ensure synchronization logic remains uninterrupted to avoid data lag. Documents cover all stages of the law enforcement process. Targeted field extraction rules must be configured to prevent parsing deviations from affecting subsequent answer accuracy. The seriousness of law enforcement data requires permission verification configuration to be completed during deployment to prevent unauthorized access. Upgrades must retain existing permission settings.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 1000 entries | Adapts to the daily new case data volume for this category, prevents database connection exhaustion |
MONGODB_URI | Fill in the address of the locally deployed MongoDB instance | Stores unstructured case-related documents and historical question-and-answer logs, meets data local deployment requirements |
REDIS_URL | redis://:custom password@local IP:6379/0 | Caches frequently queried policy basis content, reduces repeated parsing and database query pressure |
STORAGE_S3_ENDPOINT | http://192.168.1.100:9000 | Stores law enforcement files such as on-site photos and penalty decisions, adapts to multi-format data storage requirements |
FE_DOMAIN | Intranet or public network domain name of the deployment server | Configures the frontend access address, ensures the question-and-answer interface can normally call backend services |
Three common mistakes
- Symptom: PDF parsing interface calls return timeout. Parsing service backend logs show parsing tasks have completed. Cause:
REDIS_URLis not configured, so task status cannot be synchronized, leading the frontend to judge the request as timed out. - Symptom: In Docker deployment environments, the system triggers abnormal alerts every 30 minutes. Alerts disappear after restarting the FastGPT container. Cause: The
DB_MAX_LINKparameter is set too low. The database connection pool is exhausted after a fixed period, and the connection pool resets after a restart. - Symptom: After completing a version upgrade, the system still displays the old version number. Cause: The latest image version was not pulled, or the container was not restarted to load the new image, and the locally cached old image was not overwritten.
How to confirm configurations are complete
- Log in to the FastGPT backend knowledge base management page, confirm that corresponding data sources such as urban management law enforcement platforms and urban operation grid platforms have been added.
- Upload a case filing approval form, perform a parsing test, and check if the parsing results include core fields such as case numbers and violation locations.
- Run the container version query command, confirm that the currently running image version is FastGPT v4.17.0.
- Initiate a query related to policy basis, check if the returned result references the uploaded law enforcement document content.
The values provided are common starting points and should be evaluated against the target deployment’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.