What data for this category looks like
Data for this category comes from central and state-owned enterprise procurement platforms, public resource trading platforms, supplier databases, contract management systems, and audit issue repositories. The platform updates data daily. It covers documents such as procurement plans, requirement specifications, bidding documents, bid evaluation records, contracts, acceptance receipts, and supplier complaint materials. Core fields include procurement method, budget basis, scoring method, supplier qualification requirements, contract performance and acceptance payment information. There is no unified fixed format, and administrators must adapt the system to the field structure of existing enterprise procurement systems.
What constraints these characteristics impose during deployment and upgrade
Data sources for this category are scattered. Administrators must connect multiple internal systems such as enterprise procurement platforms and contract management systems, as well as external data sources from public resource trading platforms. During deployment, they must adapt to multi-source data access permission verification and format conversion. The platform updates data daily, so scheduled synchronization tasks must be configured to ensure data timeliness. Document types are diverse, and fields have no unified standard. Differentiated preprocessing rules must be configured for different documents such as procurement plans and bidding documents. Dual compliance requirements of state-owned asset supervision and party building learning must also be met. During deployment, data isolation and access permission control must be strengthened to avoid sensitive data leaks.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 1000 entries | Adapts to the daily average number of newly added procurement and contract document links for this category, avoiding index overflow |
MONGODB_URI | dedicated connection string for enterprise procurement business database | Connects to the storage repository for core business documents such as procurement plans and bid evaluation records, ensuring data read permissions |
REDIS_URL | internal private Redis instance, port 6379 | Stores session context and temporary synchronization task status, adapting to the caching needs of daily updated data |
FE_DOMAIN | intranet bound domain name of the enterprise | Restricts Q&A interface access to the enterprise intranet only, complying with state-owned asset supervision security requirements |
STORAGE_S3_ENDPOINT | address of enterprise-built object storage node | Stores large-volume documents such as supplier complaint materials and acceptance receipts, meeting compliance archiving requirements |
Three common mistakes
- Phenomenon: A
500 Internal Server Erroris returned after running the version upgrade command, and initialization cannot be completed. Cause: The database corresponding toMONGODB_URIwas not backed up in advance, and data write conflicts during the upgrade process caused an interruption. - Phenomenon: The OA-bound link returned by the Q&A cannot be accessed normally, and an insufficient permissions prompt is displayed when accessed. Cause:
FE_DOMAINwas not configured as the intranet domain name bound to the enterprise OA, causing a mismatch between the link domain name and the access permission verification rules. - Phenomenon: After upgrading to FastGPT v4.17.0, the bound external model cannot be called normally. Cause: The
ROOT_KEYpermission for model connection was not reconfigured after the upgrade, or the cache parameter rules of the new version were not adapted.
How to confirm that configurations are set correctly
- Access the intranet address corresponding to
FE_DOMAIN, confirm that the Q&A interface loads normally, and no permission interception prompts are displayed. - Manually trigger a data synchronization task, check that there are no index overflow errors related to
DB_MAX_LINKin the system logs, and the number of synchronized data entries matches the number of newly added documents on the day. - Call the model test interface, confirm that the returned results are associated with party building learning content and procurement compliance requirements, and there are no connection timeouts or permission errors.
- Upload a supplier complaint material to the system, confirm that it can be stored and read normally through the storage node corresponding to
STORAGE_S3_ENDPOINT.
The values given 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.