What the data for this category looks like
This category of data mainly comes from the national government procurement website, local government procurement websites, the fiscal integration system, the purchaser budget system, and supplier credit records, and is updated daily. Daily processed documents include procurement requirements, procurement plans, bidding documents, tender documents, bid evaluation reports, winning bid announcements, procurement contracts, question and reply notices, and more. It covers four typical entities: purchaser units, the government procurement supervision division of the finance department, procurement agencies, and expert reviewers. Data fields include core business items such as target information, budget parameters, qualification review requirements, and bid evaluation rules.
What constraints these characteristics impose on the deployment and upgrade link
The data for this category comes from multiple sources and is updated daily. This requires that multi-source data synchronization rules must be configured during deployment, and incremental pull support must be enabled to avoid resource consumption from full synchronization. Daily processed documents have diverse types and obvious structural differences. Parsing logic for different documents must be adapted, and dedicated field extraction rules must be set for documents such as procurement requirements and bidding documents. At the same time, since the data involves content related to government procurement supervision, strict access permission control strategies must be configured. A data verification link must also be added to ensure that accessed business data is accurate and compliant, and to avoid regulatory risks caused by data errors.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | Connection string pointing to a dedicated MongoDB instance for government procurement business data | Used to store structured business data such as procurement documents and inquiry records; a dedicated instance isolates business traffic |
REDIS_URL | Configured as a local intranet Redis instance, with connection timeout set to 30 seconds | Used to cache frequently accessed government procurement announcements and supplier credit data, reducing query pressure on multi-source data sources |
DB_MAX_LINK | Set to 20–30 | Adapts to the concurrent connection requirements of daily incremental synchronization of government procurement data, avoiding connection exhaustion |
FE_DOMAIN | Fill in the intranet domain name of the government procurement service inquiry service | Used to generate permission-bound inquiry reply links, ensuring that only internally authorized users can access |
STORAGE_S3_ENDPOINT | Point to the endpoint address of the unit's internal object storage service | Used to store post-parsing text of procurement documents, inquiry conversation logs and other file data |
Three common mistakes
- Symptom: A
Reached the max retries per request limiterror occurs when calling government procurement-related APIs. Cause: Reasonable retry parameters are not set for the government procurement data source, which frequently triggers the official API's current limit restrictions. - Symptom: Government procurement document parsing results are missing when accessing the deployed service via intranet penetration. Cause: Access permission rules for intranet data sources are not added to the service configuration, so penetrated traffic cannot properly connect to the fiscal integration system's APIs.
- Symptom: Historical procurement inquiry data fails to load normally after upgrading to FastGPT v4.17.0. Cause: Environment variables for the dedicated business database are not added to the docker-compose configuration file, causing the service to fail to read stored procurement documents and inquiry records.
How to confirm the configuration is complete
- Log in to the service management backend, check the multi-source data synchronization task logs, and confirm that the daily government procurement data incremental synchronization task executes normally.
- Upload a sample government procurement bidding document, test the document parsing function, and confirm that core business fields can be extracted.
- Initiate a simulated service inquiry, verify that the reply result associates with the corresponding procurement document content, and that the access link conforms to the configured domain name rules.
- Check the database connection monitoring metrics, confirm that the connection number is in a stable range, and no abnormal fluctuations occur.
The values provided 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.