What Data for This Category Looks Like
Data for this category is generated across the full packaging and testing workflow. Daily documents include packaging process cards, bonding and molding parameters, wafer incoming inspection maps, test program versions, yield reports, and failure analysis reports. Data sources include wafer test maps, factory MES systems, bonding and molding equipment logs, ATE tester data, X-ray/SAM inspection results, and customer specification requirements. Data is updated in sync with production batches, individual chip test results, and daily frequencies. Fields include batch numbers, parameter thresholds, test bin values, failure types, and more. There is no fixed unified format, and it adjusts based on equipment and production workflows.
Constraints Imposed on Deployment and Upgrade
The multi-source heterogeneous data sources, high-frequency update rhythm, and specialized document formats of this category create multiple constraints for deployment and upgrade. Non-standard data formats output by multiple devices require support for custom data source access and field mapping configurations during deployment, to adapt to industrial data of different structures such as wafer test maps and ATE test data. High-frequency updates per batch, individual test, and daily basis require sufficient database connection and storage resources to be configured during deployment, to avoid data write delays. Structured parsing requirements for specialized industrial documents such as packaging process cards require preset document parsing rules during the deployment phase, to adapt to specialized terminology and parameter formats.
How to Configure Settings
The following configurations are formulated based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 | Adapts to daily high-frequency test data writes and queries, to avoid database connection exhaustion |
MONGODB_URI | mongodb://{user}:{pass}@{host}:{port}/fastgpt_seal | Stores unstructured industrial data such as batches and yield reports, matching business data storage requirements |
REDIS_URL | redis://:{pass}@{host}:{port}/0 | Caches real-time test bin data and session information, reducing database query delays |
STORAGE_S3_ENDPOINT | http://192.168.1.100:9000 | Stores large-volume industrial documents such as wafer incoming inspection maps and X-ray/SAM inspection images, adapting to local or private cloud storage scenarios |
FE_DOMAIN | https://seal-qc.your-domain.com | Configures the frontend access domain name, matching the access rules of the factory's internal office network |
FILE_TOKEN_KEY | Set based on actual measurements | Generates file access tokens, controlling access permissions for sensitive documents such as packaging process cards |
Three Common Misconfigurations
- The conversation interface becomes unresponsive for long periods after deployment, with a 504 timeout status code. Cause: The
DB_MAX_LINKconfiguration is not adjusted for high-frequency industrial data, leading to request blocking due to exhausted database connection pools. - Local debugging works normally, but the Docker image cannot connect to the database after startup. Cause: Database connection parameters such as
MONGODB_URIare not injected as environment variables during image construction, leading to inconsistent configurations between the image and the local debugging environment. - Industrial document parsing dependencies cannot be loaded in offline deployment scenarios. Cause: Offline model packages required for specialized document parsing are not pre-downloaded during the deployment phase, leading to failures when parsing documents such as packaging process cards.
How to Verify Proper Configuration
- Run a database connection test script to verify that configuration items such as
MONGODB_URIandPG_URLcan establish normal connections, and check whether the number of connections falls within the presetDB_MAX_LINKrange. - Upload a packaging process card document to verify that the frontend interface can load and parse it normally, and check whether the access token generated by
FILE_TOKEN_KEYcan correctly authorize access. - Simulate a write request for individual chip test data, check whether the data can be synchronized to the storage system, and verify that the caching function of
REDIS_URLworks normally. - Access the domain name configured in
FE_DOMAIN, check whether the frontend page loads normally, and confirm that the network access rules adapt to the factory's internal office environment.
The values provided are common starting points and should be evaluated against appropriate operational samples.