What data for this category looks like
Data for this category comes from engineering orders, sand, cement and admixture inspection records, moisture content test reports, mixing station control system logs, and laboratory ledgers. Data updates occur per vehicle produced, per batch of raw materials delivered, and on a daily summary basis. Daily documents include mix proportion notices, opening identification forms, production and transport orders, raw material inspection reports, test block retention records, and strength test reports. Fields include raw material batch numbers, batching dosages, slump values, test block numbers, and test dates. Units include kilograms, millimeters, megapascals, and calendar days.
What constraints these characteristics impose on deployment and upgrade
Data for this category is sourced from multiple dispersed systems, has high update frequency, and each individual data entry is linked to the entire production process. During deployment, configure field mapping rules to support multi-system data integration. High-frequency per-vehicle data updates require a stable database connection pool to avoid access timeouts. Daily summarized bulk ledger data requires a scheduled trigger processing workflow. During upgrades, retain legacy field compatibility logic to adapt to historical data formats of existing mixing stations. Additionally, because data is linked to engineering quality responsibility, configure a data backup strategy during deployment and upgrade to ensure complete inspection and production records can be restored during abnormal rollbacks.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 15–25 connections | Adapt to concurrent demands of high-frequency per-vehicle data access, avoid exhausting database connections |
REDIS_URL | Local Redis instance address | Cache real-time data such as frequently updated aggregate moisture content and slump to reduce database query pressure |
STORAGE_S3_ENDPOINT | Access endpoint of the corresponding cloud storage service provider | Store large files such as test block images and strength reports to ensure long-term data traceability |
| Environment variable call permission | Enabled | Support calling custom environment variables configured during docker deployment in workflows, match business parameters such as raw material inspection thresholds |
| Workflow loop configuration | Dynamically update index by loop count | Adapt to batch processing logic for test block records, avoid null or abnormal index values |
FILE_TOKEN_KEY | 32-character random string | Encrypt and protect file access permissions for inspection reports, prevent unauthorized access |
Three common mistakes
- Symptom: Custom environment variables deployed via docker and called in workflows return null values or throw errors. Cause: Environment variable exposure permission was not enabled in deployment configuration, or the environment variable name does not exactly match the workflow call parameters.
- Symptom: After the loop body performs an index increment operation, the output result is null. Cause: The loop configuration was not correctly bound to the index variable's initial value and update rules, or the parameter name of the loop logic changed after a workflow version upgrade.
- Symptom: After upgrading the version, calling the m3e model returns model unavailability or abnormal results. Cause: The model access address and key were not reconfigured after the upgrade, or the new version's model call parameter format is incompatible with the legacy version.
How to confirm configurations are correct
- Check the active connection count of the database connection pool, confirm the count stays within the configured range with no persistent exhaustion.
- Trigger a batch processing workflow for test block records, check whether the index variable update results meet expectations.
- Call the test interface for custom environment variables, confirm that business parameters configured during deployment can be read normally.
- Upload an inspection report file, confirm normal access via the encrypted token with no permission errors.
The values provided are common starting points and should be measured against the reader's own samples.