What this category of data looks like
Rail transit equipment data is sourced from on-board control systems, line operation ledgers, maintenance operation systems, and passenger service records. Real-time on-board status data updates every second. Monthly operation reports sync daily. Maintenance records are submitted in real time upon work completion. Data uses structured JSON format, including fields such as equipment ID, operating duration, fault code, maintenance time, processing result, and line number. The unit for operating duration is hours. Fault codes are 6-digit numeric codes. Maintenance time uses ISO 8601 format. A single complete data record does not exceed 2000 characters.
Constraints on HTTP Interfaces and External Systems
Real-time data requirements mean interface response speed must align with business needs, to avoid service interruptions from excessive waiting times. Fixed structured field requirements mean interfaces must strictly validate parameter formats, preventing call failures caused by missing fields or type errors. Multi-source data characteristics mean external systems must support equipment data in different formats, and require variable mappings to align external fields with FastGPT knowledge base fields. Frequently updated data also requires interface caching strategies to balance real-time performance and call frequency, avoiding outdated equipment status information being returned.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| API Key | Bound to the exclusive Authorization parameter | Ensures identity verification for interface calls, preventing unauthorized access |
| Timeout Period | 30 seconds | Aligns with the response speed requirements of rail transit real-time data, avoiding long waiting times |
| Variable Mapping | One-to-one binding of variables according to equipment data fields | Ensures FastGPT can correctly obtain core data such as equipment ID and fault code |
| Response Data Parsing | Extract core fields under responseData | Filters redundant data, only retaining equipment-related information required for service inquiries |
| Retry Count | 2 times | Addresses temporary network fluctuations, preventing service interruptions caused by single call failures |
| Cache Duration | 600 seconds | Balances real-time performance and interface call frequency, adapting to the update rhythm of non-core equipment data |
Three Common Configuration Errors
- An "invalid request format" error is returned when calling the interface, with a status code of 400. The cause is failure to pass parameters according to the fixed field structure of rail transit equipment data, and missing required fields such as equipment ID or fault code.
Reference only; verify against the target FastGPT release and deployment documentation.
- Only generic text is obtained when exporting a segmented knowledge base, without structured data for rail transit equipment. The cause is failure to check the export option related to equipment data, or the configured export scope does not cover the equipment module in the knowledge base.
How to Verify Successful Configuration
- Send a test request containing a valid equipment ID, check whether the returned
responseDataincludes preset core equipment fields. - View interface call logs, confirm that the
Authorizationparameter is correctly carried and has not expired. - Simulate requests for different types of equipment data, verify that variable mappings can correctly associate fields from external systems.
- Test timeout scenarios, confirm that the interface returns valid data within 30 seconds, with no prolonged unresponsive situations.
- Export the segmented knowledge base, verify that the backup file includes relevant data entries for rail transit equipment.
The values provided are common starting points and should be measured against relevant 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.