What Data for This Category Looks Like
Data sources for this category include wafer test maps, MES systems, bonding and molding equipment logs, ATE tester data, X-ray/SAM inspection results, and customer specification documents. Daily generated documents include packaging process cards, bonding and molding parameter sheets, wafer incoming material maps, test program version files, yield reports, and failure analysis reports. Data updates occur per production batch, after each chip test, and daily. Fields include batch identifiers, test bin distributions, equipment parameter thresholds, failure types, and more. There are no uniform fixed units; values vary by document type.
Constraints Imposed by These Characteristics on Deployment and Upgrade
The multi-source heterogeneous data characteristics of this category require the deployment phase to support API or file import connections for equipment logs, MES systems, and inspection equipment. Configure storage and indexing rules compatible with multiple data sources. The high-frequency update feature requires the storage layer to have sufficient concurrent processing capacity to avoid data write delays. The diverse document types and fine-grained fields require the indexing model to adapt to multiple formats, including structured parameter sheets and unstructured inspection drawings. The upgrade phase must be compatible with the mapping relationship between old document parsing rules and new business fields. The batch-level and single-chip-level data granularity requires precise metadata association configuration to avoid batch confusion or data misalignment.
How to Configure Settings
The following configurations are written based on FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 connections | Adapts to the concurrent demand of high-frequency multi-source data writes, avoids connection pool exhaustion |
MONGODB_URI | Points to a replica set address exclusive to packaging and testing business | Isolates business data from other systems, ensures read/write stability for fine-grained test data |
REDIS_URL | Configures the address of a local high-availability Redis cluster | Supports high-frequency batch metadata caching and user session management, adapts to the daily update frequency |
FE_DOMAIN | Binds to a secondary domain name exclusive to the packaging and testing factory | Adapts to internal access permission control and certificate configuration requirements |
FILE_TOKEN_KEY | Uses a 32-bit randomly generated encryption key | Ensures security of download permissions for sensitive documents such as packaging process cards |
ROOT_KEY | Configured as a strong random string of 16 or more characters | Prevents abnormal issues with default root account password resets |
Three Common Misconfigurations
- A 500 error is returned when accessing the frontend page, and the log shows
URI malformed. The cause is that theFE_DOMAINconfiguration does not include the correct protocol prefix, orMONGODB_URIcontains invalid characters. - The frontend page cannot be accessed after container startup. The cause is that
REDIS_URLpoints to an unreachable address, orDB_MAX_LINKis set too low to initialize the connection pool. - The system automatically resets the root account password daily. The cause is that
ROOT_KEYis not configured correctly, or the deployment script retains the default password reset logic and has not been replaced with a custom key.
How to Confirm Successful Configuration
- Run the database connection test script to verify that connections configured with
MONGODB_URIandDB_MAX_LINKcan be established normally. - Access the address bound to
FE_DOMAINto confirm that the frontend page loads normally without 500 errors. - Modify the root account password, restart the container, and wait 24 hours to confirm that the password is not automatically reset.
- Upload a packaging process card document to verify that
FILE_TOKEN_KEYcan generate valid download tokens normally.
The values provided are common starting points and should be evaluated against the reader's own samples.