What the data for this category looks like
This category of data originates from customer drawings and special characteristic lists, ERP/MES systems, measuring tools, equipment process parameters, and supplier quality certificates. Daily retained documents include control plans, process flowcharts, work instructions, first article and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data is updated continuously per batch and shift, with fields including special characteristic numbers, process parameters, inspection results, batch numbers, and others. Most units are industrial standard units such as millimeters, newton-meters, seconds, and similar units.
What constraints these characteristics impose during the deployment and upgrade phase
Data for this category comes from multiple dispersed sources and requires integration with multiple systems. During deployment, multiple database connections must be configured to support compatibility with ERP/MES, measuring tools, and other data sources. Data is updated continuously per batch and shift and is strongly bound to batches. After deployment, real-time synchronization of batch data and traceability association must be supported. There are diverse document types with fixed formats, so multi-format file parsing and structured storage must be supported. Restricted by the quality systems of vehicle customers, complete operational audit records must be retained during deployment and upgrade to avoid interrupting batch data links.
Configuration Settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–20 connections | Supports concurrent data requests from multi-process equipment, ERP/MES in high-volume manufacturing scenarios |
MONGODB_URI | Full connection string pointing to the batch data repository | Stores unstructured and semi-structured data such as SPC reports, 8D reports, and similar content |
PG_URL | Connection string pointing to the structured process data repository | Stores structured fields such as control plans, special characteristic lists, and similar content |
REDIS_URL | redis://127.0.0.1:6379/0 | Caches frequently accessed process parameters and batch metadata to reduce database load |
STORAGE_S3_ENDPOINT | Access address of the enterprise object storage service | Stores large files such as batch-uploaded drawings, PPAP materials, and similar content |
FE_DOMAIN | https://your-deploy-domain.com | Configures permission access for team collaboration and external customer access |
Three common configuration mistakes
- Symptom: The sample workflow fails to execute normally after startup, and logs show missing workflow node configurations. Cause: The multi-data source integration logic for high-volume automotive component manufacturing was not adapted, and a single database configuration for general scenarios was used.
- Symptom: An insecure certificate warning is displayed when accessing the deployment instance, and the HTTPS page fails to load. Cause: The certificate file path generated by mkcert was not configured in the service startup parameters, and the domain specified by
FE_DOMAINwas not bound. - Symptom: Team members cannot access the deployed application, and an insufficient operation permissions prompt is displayed. Cause: The team root permission was not configured via
ROOT_KEY, and access roles for collaborative members were not correctly assigned.
How to verify successful configuration
- Run the database connection test script to verify the connection status of
MONGODB_URIandPG_URL, and confirm that batch metadata and process documents can be read. - Upload a PPAP material file, complete upload and download via the storage service configured with
STORAGE_S3_ENDPOINT, and confirm that file storage operates normally. - Invite test team members to access the instance via
FE_DOMAIN, and verify that the permission allocation function works correctly. - Simulate batch data import, confirm that the connection number configured by
DB_MAX_LINKcan support concurrent requests, and no connection overflow errors occur.
The values provided are common starting points and should be measured against the reader's own samples.