What Data for This Category Looks Like
Data for internal office and employee services in refining and chemical production mainly comes from unit distributed control systems (DCS), real-time databases, equipment inspection systems, and human resources ledgers. Process parameter data is updated every second. Material consumption and equipment maintenance data is updated hourly or daily. Employee attendance and training records are updated daily. The data uses structured time-series format, including fields such as unit number, process temperature, pressure, material flow, inspector employee ID, equipment status, and more. Field units uniformly adopt refining industry standards, such as degrees Celsius, megapascals, cubic meters per hour, kilograms, and other standard units.
Constraints Imposed on HTTP Interfaces and External Systems
Reference only; verify against the target FastGPT release and deployment documentation.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Enterprise-specific API key} | Complies with standard authentication formats for external systems in the refining and chemical industry, ensuring interface access security |
| Request timeout | 30–60 seconds | Adapts to the latency tolerance range of refining and chemical production data collection, preventing request failures due to network fluctuations |
| Single request data volume | 100–200 entries | Matches the bulk upload data limit for real-time databases and inspection systems, preventing request truncation |
variables | Pre-set variables based on unit ID and employee ID | Quickly adapt interface request parameters for multiple units and multiple employees, reducing repeated configuration |
responseData | Return only core fields (such as unit status, data timestamp) | Reduces invalid data transmission and improves interface response speed |
| Concurrency limit | 5–10 | Adapts to the interface concurrency carrying capacity of refining and chemical production systems, avoiding triggered exceptions |
Three Common Configuration Errors
- The interface returns a 429 Too Many Requests status code. This occurs because no concurrency limit is configured, exceeding the interface carrying capacity of the external system.
- A database connected via Feishu fails to load PPT format files. This occurs because no parsing adaptation rule for unstructured files is configured, or the interface only supports structured data formats.
- The database workflow returns an empty dataset after execution. This occurs because the SQL statement does not match the field naming rules of the refining and chemical production database, or no filter condition for unit ID is added.
How to Verify Successful Configuration
- Initiate a single test request, verify that the fields returned in
responseDatamatch the preset parameters. - Simulate multiple concurrent requests, observe whether an exception status code is triggered, and confirm that the concurrency limit configuration takes effect.
- Check the format of the
Authorizationparameter, confirm that it passes the authentication check of the external system. - Upload bulk test data, confirm that the request is not truncated and data is fully transmitted to the external system.
The values provided are common starting points and should be evaluated 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.