What the data for this category looks like
Business process guidance data for coal transportation and sales is primarily sourced from internal transport scheduling systems, weighing management systems, and contract management modules. Data is updated when a single business process is initiated. Full documents generated during a single business workflow include fields such as contract number, coal type, shipment volume (unit: tons), departure location, destination, carrier identifier, weighing time, and settlement status. Individual business document lengths range from hundreds to thousands of characters, with no unified fixed format template. Fields are adjusted slightly based on business type.
Constraints during deployment and upgrade
Coal transportation and sales business data comes from dispersed sources, including multiple independent systems such as scheduling, weighing, and contract management. Multi-source data connection parameters must be configured during deployment. Business update cycles are not fixed, with both real-time and batch synchronization occurring simultaneously. Task scheduling logic for different synchronization frequencies must be compatible during upgrades. Business document fields adjust dynamically based on business type. Field expansion space must be reserved during deployment to prevent process guidance interruptions caused by missing fields. Individual document lengths vary widely. Text processing thresholds must be adjusted to avoid truncation of critical business information.
Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:port/coal_transport?authSource=admin | Connects to structured core data such as contracts and weighing records for coal transportation and sales businesses, stores basic business information |
PG_URL | postgresql://user:pass@host:5432/coal_guide?sslmode=require | Stores session logs and user interaction data for process guidance, adapts to storage requirements for relational business records |
REDIS_URL | redis://:redis_pass@host:6379/0 | Caches frequently accessed business rules and user sessions, ensures real-time response speed for business processing |
DB_MAX_LINK | 20–30 connections | Multiple data sources exist for coal transportation and sales businesses, a stable database connection pool must be maintained to avoid service interruptions caused by exhausted connections |
FE_DOMAIN | https://coal-transport-flow.your-intranet-domain.com | Binds the front-end access domain name for the internal office network, adapts to the intranet usage scenario for business processing |
FILE_TOKEN_KEY | Calibrated via actual testing | Used to generate access tokens for business documents, must match the encryption verification rules of internal file storage |
Three Common Misconfigurations
- Phenomenon: FastGPT containers restart continuously, frontend pages return 502 or 503 status codes. Cause:
MONGODB_URIorREDIS_URLis not configured correctly, causing the service to fail to connect to dependent databases and exit automatically after startup. - Phenomenon: API keys in non-commercial versions cannot be configured with usage duration and frequency limits. Cause: The FastGPT version is lower than v4.17.0, and this configuration function is not available in older versions.
- Phenomenon: The number of business data returned by process guidance is lower than expected. Cause: The
DB_MAX_LINKparameter is not adjusted to the value range adapted to multiple data sources, resulting in insufficient connection pool to pull full business records.
How to Confirm Proper Configuration
- Access the configured
FE_DOMAIN, check if the frontend page loads normally and no abnormal status codes are returned. - Enter the system backend, test the connection to
MONGODB_URIandPG_URL, confirm that standard fields for coal transportation and sales business data can be pulled. - Generate a test API key, check if usage rules can be configured, confirm the function is enabled normally.
- View container runtime logs, confirm there are no error messages about failed database connections or dependent service timeouts.
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.