What this category of data looks like
Data sources for this category include safety production supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems. The update frequency is daily. Daily generated documents include hazard inspection lists, hazard management ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Data fields include hazard unique ID, inspection subject, rectification responsible person, rectification deadline, and review status. Some documents are structured tables, while others are unstructured text. The overall data volume changes dynamically based on inspection frequency and rectification process progress.
What constraints do these characteristics impose on HTTP interfaces and external systems
Multi-source heterogeneous data sources require interfaces to support compatibility with different authentication mechanisms to ensure secure cross-system calls. The diversity of document structures requires interfaces to adapt to content transmissions of varying lengths, to avoid data truncation or duplication caused by unreasonable chunking. The daily update frequency requires the interface’s scheduled pull interval to match the external system’s update rhythm, to avoid excessive calls or missed data. The need for standardized fields requires interface return content to filter redundant fields, only retaining core business fields to reduce transmission load and processing costs.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum chunk length | 800–1200 characters | Matches the average length of documents such as hazard management ledgers and rectification notices |
Authorization | Configure with the exclusive key generated by the external system | Adapts to authentication requirements for multiple data sources and ensures interface call security |
responseData | Only return hazard ID, rectification deadline, and review status fields | Filters redundant data to reduce interface transmission and processing load |
variables | Pass the batch number parameter of the hazard inspection list | Accurately matches business data for the corresponding batch and improves interface call accuracy |
| Index size | 128 | Matches the index configuration standard specified by the business |
| Single call concurrency count | First 5 entries | Adapts to the daily updated data pull rhythm and avoids exceeding the carrying capacity of external systems |
Three common configuration mistakes
- Phenomenon: The interface returns status code 200, but
responseDatadoes not include core fields such as hazard ID and rectification deadline. Cause: TheresponseDatafiltering rule is not configured correctly, and core business fields are accidentally excluded. - Phenomenon: Scheduled interface calls frequently trigger timeout alarms and return 504 status codes. Cause: The daily update frequency of the data is not matched, the call interval is too short and the single concurrency count is too high, which exceeds the processing capacity of the external system.
- Phenomenon: Calling the interface for workflow opening lines returns empty results. Cause: The workflow unique identifier parameter is not passed in
variables, so the interface cannot locate the corresponding process configuration.
How to confirm the configuration is correct
- Call the test interface and check if the returned
responseDataonly includes the preset core hazard fields. - Configure a scheduled call task and verify whether the daily pulled data volume matches the daily update volume of the external system.
- Pass a test batch number in
variablesto verify whether the interface returns the inspection list data for the corresponding batch. - Call the workflow configuration interface to confirm that the returned opening line content matches the content manually configured in the platform.
The values provided here 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.