What the Data for This Category Looks Like
Internal data for state-owned industrial funds comes primarily from investment research ledgers, investment decision meeting minutes, fund operation reports, and employee attendance and reimbursement systems. Data update schedules fall into three categories: real-time (investment research updates, instant notifications), daily (employee attendance data), and monthly/quarterly (operation reports). Documents include structured forms and unstructured text. Structured fields include product code, unit net value, total contributed capital (unit: 100 million yuan), and similar items. Unstructured text mostly consists of research reports and meeting minutes ranging from thousands to tens of thousands of characters.
What Constraints These Characteristics Impose on Deployment and Upgrade
Long unstructured text from investment research documents and meeting minutes increases resource consumption during vector database import and retrieval. This requires sufficient storage and computing resources during deployment. Structured operation reports have fixed fields and clear update cycles. During upgrades, ensure the data synchronization link adapts to fixed-cycle batch import tasks. Employee data includes private information subject to state-owned asset supervision requirements. During deployment and upgrade, configure access permissions and data encryption parameters that meet compliance rules. Data access from multiple internal systems requires compatibility with different interface formats. During upgrades, reserve expansion space for data adaptation to avoid interrupting daily office services.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:***@mongodb-host:27017/fastgpt_db?authSource=admin | Stores unstructured investment research documents and meeting minutes, requires stable high-concurrency connections |
PG_URL | postgresql://fastgpt:***@pg-host:5432/fund_operate | Stores structured operation reports and employee data, supports complex queries and transaction operations |
REDIS_URL | redis://:***@redis-host:6379/0 | Caches employee sessions and real-time investment research updates, reduces database access pressure |
DB_MAX_LINK | 200–300 connections | Adapts to concurrent access demands from multiple departments using the office system, avoids connection exhaustion |
FE_DOMAIN | https://fund-office.internal-domain.com | Configures the access domain name for the internal office portal, complies with domain name management specifications for state-owned asset systems |
STORAGE_S3_ENDPOINT | https://s3-cn-beijing.statecloud.com | Stores batch-imported operation reports and document attachments, adapts to state-owned cloud storage services |
Three Common Misconfigurations
- Symptom: A "failed to connect to database" prompt appears when accessing the page, and logs show connection timeout. Cause: The access address for
MONGODB_URIorPG_URLis not configured correctly, and firewall rules for database ports are not opened. - Symptom: The deployed service cannot be accessed via a local area network IP, and only the container IP works normally. Cause:
FE_DOMAINis not configured as a domain name or IP accessible via the local area network, and the front-end resource path is bound to the internal container address. - Symptom: Some data fails to synchronize after batch importing monthly operation reports. Cause: The upper limit of
DB_MAX_LINKconnection count is not adjusted, and connection exhaustion occurs during high-concurrency imports, causing some write operations to fail.
How to Verify Successful Configuration
- Run the
docker logs fastgpt-webcommand to check if the front-end service starts normally, with no port binding failures or cross-domain errors. - Access the address configured in
FE_DOMAINto verify that the login page loads normally, and that a test account can be used to complete login. - Upload a small structured operation report, check if the data is successfully imported into the database, and that corresponding records can be queried via the background management interface.
- Check the cache service monitoring corresponding to
REDIS_URLto confirm that the session cache connection count is within a normal range.
The values provided here 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.