What Data for This Category Looks Like
This category of data originates from manufacturing enterprise MES systems, online inspection equipment, laboratory systems, process parameter libraries, customer quality standards, and historical defect repositories. It supports quality commitments, inspection plans, and similar content during bid document and quotation preparation. Data is collected continuously per production batch and shift cycle. It covers full-process quality-related documents from work-in-progress to finished products, including control plans, patrol inspection records, SPC reports, finished product inspection reports, nonconforming product review forms, release forms, and monthly quality reports. Data fields include inspection item parameters, defect types, judgment results, release permission identifiers, and more. Collection strictly aligns with actual business content, with no redundant extra fields.
Constraints Imposed by These Characteristics During Deployment and Upgrade
Multi-source data access requirements for this category mean deployment must include pre-configured cross-system data synchronization adaptation rules. This ensures accurate synchronization of quality data needed for bid document preparation. High-frequency updated production batch data creates requirements for database connection stability. During upgrades, verify the adaptability of parameters such as DB_MAX_LINK to avoid disrupting real-time data calls for quotation preparation. Diverse quality document structures require preset document parsing templates during deployment. This prevents parsing errors after upgrades that would impact bid document content generation. Sensitive data related to release permissions needs synchronized configuration of storage encryption and access control rules to maintain data compliance.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 connections | Adapt to high-frequency data collection requests per shift and batch, avoid business interruptions caused by exhausted connection pools |
MONGODB_URI | Point to the enterprise internal MongoDB instance, configure access whitelist | Store large volumes of unstructured quality documents such as inspection reports and SPC reports, support content extraction for bid documents |
REDIS_URL | Configure as a local cache instance, set 600 second expiration time | Cache frequently queried customer standards and historical defect data, reduce database load and ensure quotation preparation efficiency |
STORAGE_S3_ENDPOINT | Point to the enterprise internal object storage address | Store large-volume quality documents such as patrol inspection records and finished product inspection reports, meet the archiving needs of bid materials |
FILE_TOKEN_KEY | Generate a 32-bit random string in accordance with enterprise key specifications | Ensure access permissions for uploaded quality documents, only authorize designated teams to use them for bid document preparation |
ROOT_KEY | Generate in accordance with enterprise internal security policies | Ensure the security of platform management permissions, only authorize the quality engineering team to configure relevant business rules |
Three Common Errors
- Phenomenon: When calling the batch quality data processing interface, the frontend page fails to respond or returns a
504 Gateway Timeouterror. Cause: TheDB_MAX_LINKparameter was not adjusted, resulting in exhausted database connection pools and request timeouts. - Phenomenon: When viewing session logs, some quality document parsing results are empty or have missing fields. Cause: No preset document parsing templates for corresponding control plans and inspection reports, and post-upgrade parsing rules do not match business document structures.
- Phenomenon: After upgrading to FastGPT v4.17.0, external quality data interfaces cannot be called normally. Cause: Legacy One API-related configurations were retained, and the proxy configuration adapted to the new version was not switched.
How to Confirm Configuration Is Complete
- Access the platform management interface, check the connectivity prompt for database connection configuration items, and confirm there are no abnormal errors.
- Upload a typical SPC report document, verify that core fields such as control limits and sampling data can be extracted after parsing, for use in generating quality plans for bid documents.
- Initiate a single-batch quality data synchronization task, observe that the system shows no connection timeout errors, ensuring data synchronization stability.
- Check the session log module, confirm that quality-related session operations and return results can be recorded normally, to facilitate subsequent business problem troubleshooting.
The values provided are common starting points and should be measured against the reader's own samples.