What the data for this category looks like
Daily documents for this category include maintenance plans, inspection logs, defect disposal orders, road construction permits, and road damage compensation orders. Data sources typically come from highway maintenance management systems, bridge and tunnel monitoring systems, road administration inspection systems, and traffic flow monitoring data. The update frequency is once per day.
Data fields include road section stake numbers, defect types, disposal duration, compensation amounts, construction permit numbers, and more. Field structures vary across different documents. Inspection logs mostly record point-in-time data from real-time inspections. Maintenance plans contain batch task information for a set cycle. Overall data structures differ based on the specific business process.
What constraints these characteristics impose on the HTTP Interfaces and External Systems workflow
Multiple data sources require the interface to connect with multiple external systems. Each system may use different authentication methods and response structures, so call rules must be configured separately for each.
The daily update frequency requires the interface to pull full data on a daily cycle. The volume of data in a single request must be controlled within a reasonable range to avoid exceeding system load limits.
The diverse document structures require the responseData returned by the interface to adapt to extraction logic for different fields. A unified template cannot be used for direct processing.
Additionally, the data involves road safety and fund management. Interface calls must include permission verification capabilities to prevent data leaks or tampering caused by unauthorized access.
How to configure the settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {custom secret} | Meets the authentication requirements of multi-system interfaces and ensures call legitimacy |
| Single request data volume | 100–200 records | Adapts to batch pulling of daily updated data, avoids interface timeouts or excessive system load |
variables | Pass maintenance road section scope, statistical cycle | Filters ledger data for the target area, narrows query scope to improve efficiency |
responseData | Extract maintenance plan number, defect type, disposal result | Only retains core fields required for ledger summary, reduces transmission load |
| Request timeout | 600 seconds | Adapts to the time required for multi-system data aggregation, avoids mid-request interruptions |
Three common configuration mistakes
- Phenomenon: The interface returns SSL certificate problem: self signed certificate. Cause: A self-built SSL certificate was used when connecting to the internal highway maintenance system, and the trust chain was not added in the FastGPT configuration.
- Phenomenon:
404 page not foundis returned after a call. Cause: The configured interface path does not match the actual endpoint provided by the target system, or the format of theAuthorizationparameter is configured incorrectly. - Phenomenon: Some fields in the generated summary report are empty. Cause: The statistical cycle parameter was not correctly passed via
variables, so the interface did not return ledger data for the requested cycle.
How to verify a successful configuration
- Send a test request and check if
responseDatareturns expected core fields such as maintenance plan number and defect type. - Pass an incorrect
Authorizationsecret to confirm the interface returns a 401 Unauthorized status code. Pass the correct secret to confirm a 200 OK status code is returned. - Pass a test road section scope
variablesparameter to confirm the data returned by the interface only contains ledger information for the specified area. - Simulate a scheduled daily call to confirm the interface completes the response within 600 seconds with no timeout interruptions.
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.