What this category’s data looks like
This category’s data primarily comes from engineering quality and safety supervision systems, on-site real-name management platforms, supervision logs, and test reports. Its update frequency is weekly. Daily generated documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality issue handling forms, and completion acceptance supervision reports. Data fields include project number, construction unit name, inspection date, hidden danger level, rectification completion status, and more. Some documents are associated with on-site real-name attendance data and qualified reports issued by testing institutions. The data structure adjusts dynamically based on supervision stages, with no unified, fixed field format for a single scenario.
What constraints do these characteristics impose on HTTP interfaces and external systems
Weekly updated heterogeneous data from multiple sources requires interfaces to support batch pulling of historical cycle data. This avoids triggering current limits due to overly large single requests. Differences in output formats across data sources require interfaces to support multiple response structures. This adapts to return specifications of different systems such as supervision systems and real-name management platforms. The sensitive nature of supervision-related documents requires interfaces to be configured with strict identity verification mechanisms. This restricts unauthorized access. The integrity of associated fields requires interface returned data to include required associated items. This avoids missing data that would affect subsequent closed-loop tracking of hidden danger rectification. The staged nature of completion acceptance supervision reports requires interfaces to support data filtering by supervision stage. This adapts to inquiry needs for handling inquiries at different stages.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {Intranet-deployed API key} | Adapts to identity verification for intranet scenarios without public network access, prevents key leakage |
variables | Configured as project number, hidden danger level, rectification status | Matches the handling inquiry needs of this category for filtering data by business dimension |
responseData | Only return project number, inspection date, rectification completion rate fields | Reduces invalid data transmission, adapts to lightweight query scenarios |
| Timeout setting | 600 seconds | Adapts to response duration requirements for batch pulling multi-source data on a weekly basis |
| Request batch limit | First 100 entries | Adapts to interface current limit rules for heterogeneous data sources, avoids triggering access restrictions |
| Context window | Calibrated via actual testing, no more than 8000 tokens | Adapts to parsing requirements for long-text data such as supervision logs and test reports |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common configuration errors
- Symptom: Returns 304 status code with empty data. Cause: The
Authorizationparameter is not configured correctly. No intranet-deployed API key is used for identity verification in the intranet environment, resulting in an unauthorized cached response from the interface. - Symptom: Database connection error prompts "Access denied for user". Cause: Correct intranet access account and permissions for PostgreSQL or MongoDB databases are not filled in the FastGPT configuration. Intranet firewall whitelists allowing access to database ports are not configured.
- Symptom: Timeout interruption occurs during batch data pulling. Cause: A reasonable timeout period is not set. The amount of data pulled in a single request exceeds the current limit threshold of the data source interface, resulting in forced termination of the request.
How to verify a complete configuration
- Initiate a test request in the intranet environment. Verify that the returned
responseDatafields include the preset business fields, with no additional redundant data. - Check the interface logs. Confirm that the
Authorizationparameter is correctly carried, and no identity verification failure errors appear. - Initiate a batch request. Verify that the number of returned data entries conforms to the preset batch limit rules, with no abnormal truncation.
- Simulate a handling inquiry scenario. Confirm that the returned data can match the specified
variablesfiltering conditions, such as project number or rectification status.
The configuration values provided here are common starting points. They should be evaluated against the actual samples utilized in 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.