Data characteristics for this use case
Data sources for flood prevention, disaster mitigation and emergency duty scenarios include meteorological warning systems, hydrological monitoring systems, emergency command platforms, grassroots disaster reporting systems and video surveillance. Update frequency is daily. Real-time updates can be triggered on demand for emergency response scenarios.
Daily generated documents include duty records, warning notices, consultation minutes, rapid disaster reports, emergency response plans and material allocation slips. Data fields cover rainfall values, danger locations, remaining material quantities, number of transferred people and other items. Units include millimeters, cubic meters, number of people, tons and others. The number of fields per single document is usually under 10.
Constraints for HTTP interfaces and external systems
Data sources in flood prevention, disaster mitigation and emergency duty scenarios are scattered, with diverse field types. HTTP interfaces must support batch data pulling from multiple source addresses, and perform strict validation on returned fields.
Data update frequency covers both daily routine updates and real-time emergency triggers. Interfaces must support request logic for both update modes. Since data accuracy directly affects disaster response and resource scheduling, interfaces must have authentication and tamper-proof capabilities. This prevents invalid or incorrect data from entering the ledger summary process. Additionally, cross-departmental system integration requires interface parameter formats to comply with general standards, reducing adaptation costs between different systems.
Configuration guidelines
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {external system API key} | Complies with authentication standards for emergency management external systems |
variables | Includes custom fields such as rainfall level, remaining materials, number of transferred people, with a value range of 8–15 | Adapts to field mapping requirements for multi-source data |
responseData | Returns after filtering empty fields, with single field length not exceeding 800 characters | Prevents interface transmission timeouts caused by large fields |
| Interface timeout setting | 600 seconds | Addresses time consumption when pulling multi-source hydrological and meteorological data |
| Batch request limit | First 5 latest documents | Adapts to the document quantity threshold for a single ledger summary |
| Data validation switch | Enabled | Filters invalid disaster reporting data |
Three common configuration errors
- A 401 Unauthorized error is returned when calling the interface. The cause is incorrect configuration of the
Authorizationparameter, where the key format or permissions do not meet the external system’s authentication requirements. - The
responseDatafield returned by the interface is empty. The cause is missing correct variable mapping, with disaster data fields from the external system not bound to required fields for ledger summary. - Interface call times out. The cause is unset or unreasonable timeout settings, with too many historical documents pulled in a single request causing time consumption to exceed the preset threshold.
How to verify successful configuration
- Call the test interface, check if the returned
responseDataincludes preset required fields such as rainfall and water conditions. - Verify that the
Authorizationparameter passes authentication checks from the external system, with no 401 or 403 errors. - Simulate batch requests, confirm that the interface response time does not exceed the preset 600-second timeout threshold.
- Check that the
variablesparameter correctly binds custom fields from the external system, with no missing required items for ledger summary.
The values provided are common starting points and should be evaluated against local deployment 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.