What Data for This Category Looks Like
Data sources for this category include the national public resource trading platform, local public resource trading platforms, engineering approval systems, and bidding and tendering supervision systems. The update frequency is daily. Commonly processed documents include tender announcements, qualification pre-review documents, tender documents, bid documents, bid evaluation reports, successful bid candidate announcements, and successful bid result announcements. Data fields cover section information, qualification requirements, bid evaluation expert records, successful bid results, and other relevant items. All fields follow established business specifications for bidding and tendering, with no industry-specific custom units.
Constraints Imposed on HTTP Interfaces and External Systems by These Characteristics
Data sources updated daily require interfaces to support high-frequency polling or incremental pulling. This avoids data lag or duplication. Structural differences across multiple document types require interface requests to use parsing rules adapted to each document type. A unified parsing logic cannot be used. Data sources are scattered across multiple official platforms. Multi-source interface authentication logic must be configured, and format differences from different platforms must be handled. Errors in core documents such as bid evaluation reports and successful bid results will cause serious business consequences. Interfaces must add data integrity verification logic to ensure the accuracy of returned fields.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {API key assigned by the platform} | Public resource trading platform interfaces generally use Bearer token authentication. This complies with industry-general interface security specifications. This parameter can be directly configured using the authentication module of FastGPT v4.17.0. |
variables | Fixed parameter set including section ID and trading platform domain name | Tendering and bidding data must be pulled by section or project. Variable parameters can flexibly adapt to query requirements for different projects. This avoids maintenance difficulties caused by hardcoding. |
responseData | Filtering rules that only return core business fields | Daily incremental data volume is large. Filtering redundant fields reduces transmission overhead and parsing time. This improves interface call efficiency. |
| Interface timeout setting | 600 seconds | Tendering and bidding-related interfaces return large data volumes. A longer timeout prevents normal requests from being mistakenly marked as failed. This adapts to the response characteristics of industry interfaces. |
| Multi-source interface retry mechanism | Retry intervals for the first three attempts increase incrementally between 10 and 30 seconds | Local trading platforms may experience temporary fluctuations. Reasonable retry intervals and attempt counts improve the success rate of data pulling. This reduces the need for manual intervention. |
Three Common Configuration Errors
- Phenomenon: A public resource trading platform interface call returns a 401 unauthorized error. The interface displays a loading spinner that does not complete. Cause: The
Authorizationparameter is not configured correctly, or an expired API key is used. The port mapping of the local penetration service does not open interface access permissions. This leads to authentication failure. - Phenomenon: Pulled ledger data has missing fields. For example, bid evaluation expert records are empty. Cause: Filtering rules for the corresponding fields are not configured in
responseData. The request parameters do not include the correct section ID. This results in the interface returning incomplete data. - Phenomenon: A large number of duplicate entries appear when pulling data daily. Cause: Incremental pulling logic based on update time is not configured. The interface request does not carry the latest update timestamp parameter. This leads to repeated pulling of historical data.
How to Confirm Configuration Is Complete
- Initiate a single interface request. Check if the returned
responseDataincludes preset core business fields. Confirm that the authentication parameters are effective. - Simulate a daily incremental pulling scenario. Compare data entries returned by two requests. Confirm that the incremental logic is running normally with no duplicate data.
- View interface call logs in FastGPT v4.17.0. Confirm that the timeout time and retry mechanism configuration meet business requirements. Check that there are no frequent error records.
- Connect to the local ledger system. Verify that returned data can be correctly written to the specified storage location. Confirm that field formats comply with business requirements.
The values provided here 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.