What this category of data looks like
Business data for this category typically comes from urban management law enforcement platforms, urban operation grid platforms, video surveillance systems, and public complaint work orders. The update frequency is daily. Associated daily documents include inspection records, case filing approval forms, on-site photos, rectification orders, penalty decisions, and case closure reports. Common data fields include case number, violation type, responsible party, rectification status, disposal progress, and more. Units typically include case count, time nodes, and geographic coordinates. Data is collected and entered daily by urban management law enforcement bureaus, street comprehensive law enforcement teams, environmental sanitation centers, and grid workers.
Constraints During Deployment and Upgrade
Data sources for this category are scattered. During deployment, configure multi-source data connections to avoid synchronization interruptions that disrupt case processing. Daily updated data volume must match storage resource read/write limits. During upgrades, maintain uninterrupted data synchronization links to prevent loss of case information. Storage requirements for multiple document types demand configuration of parameters adapted to unstructured data during deployment. Case-linked evidence documents must be accurately bound to inquiry responses. During deployment, verify data field consistency in advance to avoid missing evidence during subsequent inquiries. During upgrades, maintain compatibility with older data formats to prevent historical case documents from becoming unsearchable after version updates.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PG_URL | postgresql://cg_law_enforcement:securePass123@192.168.1.100:5432/fastgpt_cg | Structured case data for this category is typically stored in a PostgreSQL database. This value must match the database naming and access specifications for urban management law enforcement operations |
REDIS_URL | redis://:redisPass456@192.168.1.101:6379/1 | This value caches real-time case status and temporary public complaint work order data to improve response speed for inquiry and response services |
STORAGE_S3_ENDPOINT | http://s3-cn-north-1.example.com | This category includes unstructured data such as on-site photos and law enforcement documents. An object storage service is required for unified storage and retrieval |
DB_MAX_LINK | 50–80 connections | The daily updated case data volume is large. This value controls database connection counts to avoid resource exhaustion and ensure stability of synchronization and inquiry services |
FILE_TOKEN_KEY | 32-bit randomly generated encrypted string | This value generates secure access tokens for law enforcement documents, photos, and other case-related files to prevent unauthorized access to sensitive law enforcement materials |
Three Common Misconfigurations
- Issue: After deploying FastGPT v4.17.0 via Docker locally, database connection errors occur every few hours. Deployment can only be restored by deleting the PostgreSQL container and redeploying. Cause: The
DB_MAX_LINKparameter is not configured, or its value is set too high. This leads to exhaustion of the database connection pool, and container resources are occupied and cannot be automatically released. - Issue: Upgrading by skipping multiple versions directly leads to loss of document association relationships for historical cases. Corresponding law enforcement documents cannot be retrieved during inquiries. Cause: Upgrades are not performed step-by-step according to version iteration order. Compatibility requirements for data formats between different versions are ignored, making older data unrecognizable by the new system.
- Issue: The number of case-related documents returned in inquiry responses is insufficient to match the user's queried law enforcement scenario. Cause: The
STORAGE_S3_ENDPOINTparameter is not configured, or the storage path is configured incorrectly. This prevents unstructured on-site photos and law enforcement documents from being properly searched and associated.
How to Verify Successful Configuration
- Run a database connection test script to verify that connections configured via
PG_URLandREDIS_URLcan be established normally. - Upload a simulated on-site photo or law enforcement document, and verify that the file can be accessed normally using the access link generated via
FILE_TOKEN_KEY. - Check the database connection monitoring panel to confirm that the actual connection count does not exceed the range set by
DB_MAX_LINK. - Trigger a daily data synchronization task, and check that multi-source data synchronization status is normal and case information can be properly stored in the database.
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.