Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data sources for this category include the engineering quality and safety supervision system, construction site real-name platform, supervision logs, and test reports. The update frequency is weekly. Daily documents cover supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Document fields include core business content such as project unique identifier, inspection date, rectification requirements, and acceptance status. Some documents are linked to real-name data of on-site workers and equipment. The overall data structure is designed around the on-site process supervision and completion acceptance links.
What constraints do these characteristics impose on the HTTP interfaces and external systems link
Since data comes from multiple independent external systems, multiple sets of interfaces must be configured to connect different data sources respectively, to achieve full synchronization of business data. The weekly update rhythm requires that the interface call frequency matches the business synchronization cycle, to avoid triggering rate limiting restrictions of external systems due to high-frequency requests. The category documents contain a large number of business-specific fields, so interface requests must carry structured parameters such as project identifier and inspection date, to ensure that returned data is associated with corresponding supervision tasks. The requirement for rectification closed-loop tracking requires interfaces to support status return, and responses must include identifiable business status fields to facilitate subsequent process advancement. The association requirement for on-site real-name data requires interfaces to pass unique identifiers of personnel and equipment, to ensure business relevance of data.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {supervision system API key} | External housing and urban-rural development systems typically use Bearer token authentication, which matches industry standard authentication methods |
variables | {"projectId": "supervision project unique identifier", "checkDate": "weekly inspection date"} | Category-specific business parameters must be passed to link core identifiers and time fields of daily documents |
responseData | Extract the data array under the root node | External interfaces for this category usually package business data in the data field under the root node, to facilitate subsequent data processing |
| Interface call timeout | 30-60 seconds | On-site data queries may involve multiple verification steps, so sufficient response time must be reserved. The range can be adjusted based on actual measurements |
| Retry count | 2 times | For weekly batch data synchronization, occasional network fluctuations can be recovered via retries, avoiding synchronization interruption caused by single request failure |
| Response field validation | Validate required fields: projectId, checkResult | Ensure received data contains core identifiers and results of category-specific business, preventing invalid data from entering the system |
Three common misconfigurations
- Calling an interface returns the "Model response empty" error. This is caused by incorrect configuration of the
responseDataextraction rule, which prevents the system from identifying valid business data from the interface response. - A private deployment prompts an INITIALROOT configuration password error. This is caused by the INITIALROOT parameter in docker-compose.yml not being correctly mapped to container environment variables, or the parameter containing special characters that were not escaped.
- After docker deployment, the access address shows a loading spinner before failing. This is caused by incorrect local port mapping configuration, or the host firewall blocking access requests to port 3000.
How to confirm the configuration is correct
- Call the configured test interface, check whether the returned
responseDataincludes core fields required for category-specific business, and confirm that the data extraction rule matches the interface response structure. - Check the deployment configuration file, confirm that the
Authorizationparameter matches the key provided by the external system, and verify that the authentication configuration is correct. - View system logs, confirm that the interface request carries the correct
variablesbusiness parameters, matching the actual data of the current supervision project. - Trigger a single data synchronization task, confirm that the request timeout and retry configuration meet the response duration requirements of the business scenario.
All provided configuration values are common starting points and should be evaluated against samples relevant to the actual deployment.
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.