What Data for This Category Looks Like
Urban sanitation and urban management law enforcement case data typically originates from urban management law enforcement platforms, urban operation grid platforms, video surveillance systems, and public complaint work orders. Daily documentation includes inspection records, case filing approval forms, on-site photos, rectification notices, penalty decisions, and case closure reports. This data covers structured fields such as case numbers and violation types, plus unstructured on-site materials.
Data updates occur daily, covering newly added inspection and complaint cases from the current day. This data supports law enforcement personnel in querying policy bases and handling cases.
Constraints on HTTP Interfaces and External Systems
Multi-source heterogeneous data sources require interfaces to support authentication and data formats across different platforms, to prevent data pull failures due to format mismatches. Daily updated case data requires scheduled synchronization via interfaces, to ensure the Q&A model uses the latest case information.
The combination of structured case fields and unstructured materials requires the interface's variables parameter to support passing precise identifiers such as case numbers, to match corresponding policy bases. Preprocessing of on-site evidence materials increases interface response latency, so reasonable timeout and retry strategies must be configured.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Bearer {Exclusive API Key for Urban Management Law Enforcement} | Use standard Bearer tokens for authentication when connecting to urban management law enforcement platform data sources, to avoid authentication failures |
variables | {"caseId": "<case number>", "caseType": "<violation type>"} | Pass identification parameters for specific cases to accurately match corresponding policy bases and improve Q&A accuracy |
| Single request timeout | 600 seconds | Case processing involves data pulls from multiple platforms, so allocate sufficient time for data synchronization and model inference |
| Number of returned results | Top 3-5 entries | Urban management law enforcement scenarios require precise policy bases; excessive results increase screening costs for law enforcement personnel |
responseData | Return original policy text and corresponding clause locations | Clearly indicate the source of policy bases to facilitate verification by law enforcement personnel, and comply with compliance requirements for law enforcement scenarios |
| Knowledge base synchronization interval | 24 hours | Match the daily update frequency of this category of data, to ensure the Q&A model uses the latest case information |
Three Common Misconfigurations
- Issue: 401 Unauthorized error returned when calling the knowledge base synchronization interface. Cause: The exclusive API key for the urban management law enforcement platform is not used, or the
Authorizationparameter format is incorrectly concatenated. - Issue: Timeout error occurs when an external system calls the Q&A interface. Cause: No reasonable timeout duration is configured, and asynchronous processing is not implemented for multi-platform data pulls, causing the request to exceed the preset limit.
- Issue: Request failure when configuring Feishu webhook forwarding interface. Cause: No Feishu callback address whitelist is added in the interface configuration, or the
Authorizationparameter is not correctly carried in the request header.
How to Confirm Proper Configuration
- On the interface debugging page in the FastGPT backend, pass a real urban management case number as the
variablesparameter, and verify if the returned policy basis matches the violation type of the corresponding case. - Call the interface and check if the content returned by
responseDataincludes the original policy text and corresponding clause locations, with no redundant irrelevant information. - Simulate high-frequency requests, and confirm that the interface response time stays stable within the preset 600 seconds, with no frequent timeout errors.
- Trigger the daily knowledge base synchronization task, and verify that newly added case data from the current day is correctly synchronized to the Q&A model.
The values provided 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.