What data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose during deployment and upgrade
Commodity trading document data has long individual document lengths and multiple dedicated identifier fields. Sufficient vector storage and text processing resources must be reserved during deployment. Data update frequencies vary widely: daily price list updates and monthly settlement report generation. Incremental sync mechanisms must not disrupt existing business processes during upgrades. Dedicated transaction fields require precise matching. Retrieval rules for corresponding fields must be configured during deployment to avoid incorrect associations caused by fuzzy matching. Some documents involve commercially sensitive information. Pre-configured data desensitization items must be configured during deployment to ensure compliance.
How to Configure the Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:trade-pass@db-host:27017/fastgpt_trade | Dedicated database instance for commodity trading document data, isolated from other business data |
STORAGE_S3_ENDPOINT | https://s3-cn-shanghai.tencentcos.com | Most commodity trading documents are large contracts and vouchers, requiring stable object storage endpoints |
REDIS_URL | redis://:redis-pass@redis-host:6379/2 | Supports high-frequency session caching and fast read/write of incremental data |
DB_MAX_LINK | 80–120 connections | Handles concurrent requests for batch processing of commodity trading documents, avoiding database connection exhaustion |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Used to encrypt access tokens for commodity trading documents, securing file access permissions |
ROOT_KEY | Configured per business security specifications | Highest permissions for the management platform, ensuring configuration compliance |
Three Common Mistakes
- Phenomenon: Page text input lags when there are many workflow nodes in local deployment. Cause:
DB_MAX_LINKvalue is too low. The database connection pool cannot support concurrent requests from multiple nodes, causing request queuing. - Phenomenon: Database connection timeout error occurs after upgrading with
docker compose pull. Cause: Account, password, or port parameters in theMONGODB_URIconfiguration are incorrect. The database instance address is not properly specified. - Phenomenon: Custom-developed commodity trading document processing functions fail to load normally after upgrade. Cause: Only the base image was replaced during upgrade, and cherrypick merge of custom code was not performed, resulting in missing functions.
How to Verify the Configuration is Correct
- Run
docker compose psto confirm all service containers are in running state. - Access the frontend address corresponding to
FE_DOMAIN, enter the document drafting module, and confirm that the preset commodity trading document template loads normally. - Upload a test commodity quality inspection report, confirm that the storage bucket corresponding to
STORAGE_S3_ENDPOINTcan store the file normally. - Submit batch document processing requests, check that the database connection pool's connection count does not exceed the configured value of
DB_MAX_LINK, with no connection errors.
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.