What the data for this category looks like
Typical stakeholders include central enterprise strategic investment departments, project companies, state-owned assets supervision departments, and external consulting and evaluation institutions. Daily documents include annual investment plans, project proposals, feasibility study reports, due diligence reports, asset evaluation reports, and post-investment evaluation reports. Data sources include state-owned assets supervision and administration commission investment supervision systems, enterprise ERP and project management systems, industry market data, audit and financial statements. Update frequency is quarterly. The data structure includes fields such as project approval procedures, post-investment performance indicators, and state-owned assets supervision requirements. Units are adjusted flexibly based on document type, with no unified fixed format.
What constraints these characteristics impose on the deployment and upgrade phase
The quarterly data update requirement means scheduling cycles for batch data synchronization tasks must be configured during deployment, to avoid high-frequency updates consuming system resources. Multiple heterogeneous data sources require integration with different storage systems, so compatible database connection parameters must be configured. Complex document structures involving state-owned assets sensitive information require limiting access scope while ensuring compliance of retrieval results. Generation of post-investment evaluation reports involves collaborative materials from multiple departments, so high system availability must be ensured during deployment, to avoid service interruptions affecting investment decision-making committee preparation. Additionally, this category focuses on capital investment direction and state-owned asset preservation and appreciation, so it must strictly align with state-owned assets supervision requirements related to party building learning. Identity verification and permission control must be strengthened during deployment.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 10–15 connections | Adapts to multi-source data read load for quarterly batch synchronization, avoids connection pool overflow |
MONGODB_URI | Cluster connection string with RBAC authentication | Stores structured investment decision-making committee materials and post-evaluation reports, ensures data access permissions |
PG_URL | Read replica connection address | Separates retrieval business from business writing, avoids impacting real-time submission of project approval processes |
REDIS_URL | Primary-replica cluster connection string | Caches frequently retrieved project document fragments related to party building learning, improves response speed |
FE_DOMAIN | Enterprise intranet secure domain name | Limits system access scope, prevents unauthorized external access to state-owned assets sensitive data |
ROOT_KEY | Randomly generated 32-character string | Configures system administrator identity verification key, ensures initial permission security after deployment |
Three common configuration errors
- After re-pulling the FastGPT v4.17.0 official image, logging into the admin backend prompts identity verification failure. The cause is that the binding rules for
ROOT_KEYandFE_DOMAINare not correctly configured, and the original configuration does not take effect after the image is updated. - When attempting cluster deployment, nodes cannot share session data, and cross-node login errors occur. The cause is that the primary-replica cluster parameters for
REDIS_URLare not configured, and using only a single instance cache causes session synchronization failure. - After connecting a custom embedding model, a 404 error is returned when initiating party building learning-related inquiries. The cause is that the file storage path for
STORAGE_S3_ENDPOINTis not correctly configured, causing uploaded project document shards to fail to be loaded by the retrieval engine.
How to verify the configuration is complete
- Log into the FastGPT v4.17.0 admin backend, check the connection status of
MONGODB_URIandPG_URL, confirm that normal status is displayed. - Upload an annual investment plan document, trigger the vector generation process, check that fragmented retrieval results can be generated normally.
- Initiate a party building learning-related inquiry containing the keywords "project approval procedures" and "post-investment evaluation indicators", confirm that the returned results include compliant content related to state-owned assets supervision.
- Restart all deployment nodes, verify that login is error-free, and that session synchronization across nodes via
REDIS_URLfunctions normally.
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.