What this category of data includes
This category of data includes bath solution analysis records, process parameter cards, fixture records, film thickness and adhesion reports, hazardous waste ledgers, and wastewater monitoring records. Data sources include customer surface treatment specifications, bath solution test results, rectifier operation data, online water quality monitoring records, and hazardous waste management ledgers. Update frequency follows per bath cycle, per shift, or a fixed monitoring cycle. Document fields include bath number, fixture number, heavy metal concentrations such as copper ions (unit: g/L), temperature (unit: ℃), current (unit: A), film thickness values (unit: μm), and other fields. Some documents require association with batch numbers and customer order numbers.
Constraints during deployment and upgrade
This category has numerous data fields, including environmental compliance records. Update frequency is high. Single-batch data volume increases as production scale expands. During deployment, support must be provided for batch import of multi-source structured data. During upgrade, seamless migration of historical compliance records must be ensured. Since the data includes sensitive fields such as heavy metal concentrations and emission monitoring data, reasonable access permission rules must be configured during deployment. Fixed field mapping is required for the association between process parameter cards and exception reports. Field matching logic cannot be altered arbitrarily during upgrade. Arbitrary changes will cause association failures in exception report drafting and disrupt subsequent process handoffs.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PG_URL | postgresql://username:password@host:5432/fastgpt_plating?sslmode=require | This category requires storage of structured bath solution parameters and environmental monitoring data. PostgreSQL supports complex associated queries and is suitable for associated storage of multiple document fields |
REDIS_URL | redis://:authpass@cache-host:6379/1?maxmemory=1024 MB | Used to cache frequently accessed process parameter cards and online water quality monitoring data. 1024 MB of memory meets daily caching requirements and avoids frequent reads from the original database |
DB_MAX_LINK | 20–30 | This category has a high data update frequency. A sufficient database connection pool is required to support concurrent document import and exception report queries, avoiding connection exhaustion |
STORAGE_S3_ENDPOINT | Fill in according to the enterprise’s internal object storage service address | Used to store binary files such as original bath solution analysis reports, film thickness and adhesion test reports, and meets the storage requirements for multiple types of documents in this category |
FILE_TOKEN_KEY | 32-bit random hexadecimal string | Used for signature verification of file upload and access. Ensures documents containing sensitive compliance information in this category are not accessed without authorization |
ROOT_KEY | Generate according to enterprise internal security specifications | Used for super administrator permission verification. Strictly controls modification permissions for core configurations and avoids misoperations affecting production processes |
Three common mistakes
- After importing more than 30 structured documents, knowledge base queries return empty results. Cause: When using PG_VECTOR for storage, related configurations are not adjusted. The number of knowledge base entries in a single database is limited by the default upper limit.
- When initiating an exception report drafting request, associated bath solution analysis records or process parameter cards are not returned. Cause: Document field mapping rules are not configured correctly, causing the system to fail to match the association fields between exception reports and corresponding process documents.
- A database connection timeout error appears after container startup. Cause: Database address, port and authentication information in
PG_URLare not filled in correctly, causing the system to fail to connect to the structured data storage repository.
How to confirm configurations are properly set
- Use the FastGPT v4.17.0 management backend to view the database connection status panel. Confirm that the storage services configured via
PG_URLandREDIS_URLcan connect normally. - Upload 1 to 2 standard format bath solution analysis record documents, and perform a field mapping test. Confirm that the system can correctly extract core fields such as bath number and heavy metal concentrations.
- Initiate a simulated exception report drafting request. Confirm that the system can call associated process documents and monitoring data to generate corresponding content.
- Test the file upload and access function. Confirm that signatures generated using
FILE_TOKEN_KEYcan normally access uploaded binary documents.
The values provided are common starting points and should be evaluated against the applicable operational samples.