What the data for this category looks like
This category’s data originates primarily from wafer test maps, MES systems, bonding and molding equipment, ATE test machines, X-ray/SAM inspection equipment, and customer specification documents. Daily documentation includes packaging process cards, bonding and molding parameter sheets, wafer incoming material maps, test program version records, yield reports, and failure analysis reports. Data is updated per production batch, per individual chip test, and for daily summaries. Fields include batch identifiers, test bin distributions, yield values, equipment operating parameters, and similar metrics. Single long documents often total several thousand characters.
Constraints on Deployment and Upgrades
The multi-source, high-frequency updated data and long document characteristics of this category create clear constraints for the deployment phase. Data integration across multiple devices and systems must align with the output formats of existing MES and ATE equipment to avoid misaligned data fields. High-volume per-chip test data and daily summary tasks require configuring appropriate storage and concurrency limits during deployment to prevent resource exhaustion. Long documents such as failure analysis reports and complete yield reports will extend the model’s context window. During upgrades, the context processing capabilities of large models must be accommodated, while alignment logic for historical data must be preserved. This page is compatible with FastGPT v4.17.0.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 entries per minute | Adapts to the high-frequency reporting of per-chip test data and prevents database connection pool exhaustion |
MONGODB_URI | Mount a dedicated sharded cluster | Stores long documents such as failure analysis reports and complete yield reports to meet high-concurrency write requirements |
PG_URL | Bind to a dedicated business database instance | Stores structured ledger data such as batch identifiers and test bin distributions to ensure query efficiency |
REDIS_URL | Configure a 16GB memory instance | Caches frequently queried data such as wafer incoming material maps and test program version information to reduce database load |
FE_DOMAIN | Bind to the enterprise’s own domain name | Adapts to subsequent HTTPS upgrade requirements and ensures normal calls for voice functions and application releases |
STORAGE_S3_ENDPOINT | Connect to the enterprise’s object storage service | Stores large-volume files such as batch-uploaded packaging process cards and X-ray inspection images |
Three Common Configuration Errors
- Off-topic output during long text processing, with context truncation visible in logs. This occurs when a sufficient context window is not configured for long packaging test documents such as complete yield reports, or when the large model’s long text processing limit is not accommodated.
- Voice functions fail after application release, with the interface returning status code 403. This occurs when
FE_DOMAINis not configured as a valid domain name, and the deployment address is not upgraded from HTTP to HTTPS. - Old version workflow applications cannot be imported after an upgrade, with the page displaying a format incompatibility prompt. This occurs when the upgrade is not performed using version-matched migration scripts, or when ledger data fields from the old version do not match the new version’s configuration.
How to Verify Correct Configuration
- Run a single-batch ledger import test, confirm that the database connection count matches the
DB_MAX_LINKconfiguration, and verify there are no connection timeout errors. - Upload a complete failure analysis report, confirm that the model can fully read the document and generate a corresponding report, and verify that context processing meets business requirements.
- Access the HTTPS address bound to
FE_DOMAIN, confirm that the application release interface and voice functions function normally. - Export the old version workflow configuration file, import it into the new version system, verify the ledger field mapping relationship, and confirm there is no data misalignment.
The values provided here are common starting points and should be measured against the reader's own samples.