What data for this category includes
This category includes BOM and coordinate files. It also includes line change lists, stencil and reflow oven temperature records, first article inspection reports, SPI/AOI test reports, maintenance records, and traceability labels. Data sources include customer-provided BOM, Gerber and coordinate files. They also include factory MES systems, solder paste and component batch ledgers, placement machines, SPI/AOI testing equipment, and reflow oven temperature records. Data updates occur per work order, each line change, and in real time. Fields include part number, reference designator, component batch, reflow temperature curve parameters, and coordinate position. Some test reports and stencil files are stored in binary format.
Constraints imposed by these characteristics on deployment and upgrade
Data sources are scattered. Update frequency is high. Interfaces must be integrated with multiple types of equipment and systems. Adaptation rules for multiple data sources must be configured during deployment. Data includes sensitive information such as component batches and reflow temperatures. Intranet deployment security must be ensured to prevent public network leaks. Complex document structures require multi-format file parsing and metadata extraction support. Upgrades must maintain compatibility with field formats exported by older versions. High-frequency updated data creates load pressure on databases and caches. Connection parameters must be properly configured to avoid overload.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–30 connections | Matches the single search data volume for SMT work orders, avoids intranet bandwidth overload and query timeouts |
MONGODB_URI | Instance address bound to an intranet dedicated network segment | Stores sensitive data such as component batches and traceability labels. Intranet deployment ensures information security |
REDIS_URL | Configure persistent cache parameters | Addresses real-time updated work order and test data. High-frequency read requirements are reduced by using cache to lower database pressure |
FILE_TOKEN_KEY | Key aligned with the enterprise file server | Integrates binary files such as stencil and reflow oven temperature records. Unified key ensures file access permissions |
STORAGE_S3_ENDPOINT | Intranet endpoint of the enterprise-built object storage | Stores large volumes of files such as SPI/AOI reports. Intranet endpoints avoid public network transmission delays and security risks |
Three Common Misconfigurations
- Training errors trigger when importing knowledge base data exported from older versions. Fields from older exports do not match required fields of the FastGPT v4.17.0 CSV template. Metadata fields for BOM and coordinate files are not adjusted as required.
- Knowledge base search return counts do not match expectations. The
DB_MAX_LINKparameter is not set correctly. The value exceeds intranet network carrying capacity or does not match actual data volume. - Model calls time out. A reasonable cache strategy is not configured for high-frequency SMT real-time data requests. This leads to database connection pool exhaustion.
How to Verify Correct Configuration
- Upload test BOM and coordinate files. Check if the system correctly parses part number and reference designator fields. Confirm file processing configurations are active.
- Send a simulated work order search request. Check that return result count matches the
DB_MAX_LINKconfiguration value. - View intranet database and cache connection logs. Confirm no connection timeouts or permission errors exist for the
MONGODB_URIandREDIS_URLconfigurations. - Import knowledge base data in older version formats. Check if field validation errors trigger. Confirm template adaptation configurations are correct.
The values provided are common starting points and should be measured against the reader's own samples.