What data looks like for this category
This category’s business data originates from design BOMs, silicon steel sheet and insulating material ledgers, vacuum drying equipment operation logs, insulating oil test reports, original high-voltage test station records, and product nameplate parameter tables. Teams update data per single finished product or each batch of raw materials. Corresponding documents cover winding and core assembly process records, vacuum drying process parameter ledgers, insulating oil breakdown voltage and moisture content reports, partial discharge and withstand voltage test raw data, and product nameplate parameter tables. Data fields include exclusive parameters such as insulation distance, drying temperature, test voltage, and tap position. No standardized batch fields common to general mass assembly data exist.
What constraints these characteristics impose on deployment and upgrade
The full-life-cycle traceability requirement for single products means the Q&A system must support associating multi-source heterogeneous business data using device IDs. Teams must configure exclusive data association logic during deployment. Mixed formats of multiple unstructured test documents require the system to support multiple parsing plugins, including PDF, CSV, and log files. Upgrades must ensure new parsing capabilities do not disrupt existing business processes. Frequently updated real-time data from insulating oil and drying equipment requires storage configuration to support low-latency read/write and real-time synchronization, to prevent data lag from causing Q&A result deviations. Partial discharge abnormal data from high-voltage tests must be linked to original test logs. During deployment, the knowledge base index must cover high-dimensional test parameter fields, and cannot support simplified index logic used for general assembly data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
REDIS_URL | redis://:custom password@intranet cache IP:6379/0 | This category’s data requires frequent read/write caching of device association relationships and test parameters. Intranet deployment ensures low latency. Database index 0 is used to isolate business cache. |
FILE_TOKEN_KEY | 32-bit random hexadecimal string | A unique access token must be generated for each device-specific document to prevent unauthorized access to sensitive business data such as insulating oil reports. |
STORAGE_S3_ENDPOINT | intranet object storage endpoint:9000 | Single products are associated with multiple test documents. Intranet storage ensures stability of batch document upload and download, and adapts to frequent data update requirements. |
DB_MAX_LINK | 20–30 | Multiple equipment inspection query requests must be processed simultaneously. This value balances concurrent load and database performance. |
PG_URL | postgresql://username:custom password@intranet database IP:5432/fastgpt | The association relationship between equipment BOMs and test data must be stored. PostgreSQL ensures query accuracy for structured data. |
Three common mistakes
- Symptom: After upgrading FastGPT to v4.17.0, clicking the insulating oil report details in the knowledge base displays "Invalid dataset file key". Cause: The
FILE_TOKEN_KEYconfiguration value was not updated synchronously during the upgrade, causing existing document token verification to fail. - Symptom: When running parsing tasks for insulating oil reports or withstand voltage test records, a Node.js version incompatibility error occurs. Cause: The Node version of the sandbox image was not upgraded to 20.20.0, causing some dedicated parsing plugins to fail to load properly.
- Symptom: When calling the qwen3-max model to generate inspection Q&A results, a 404 status code is returned with no response body. Cause: The deployment uses v4.11.0, which does not adapt to the interface specifications of the qwen3-max model.
How to confirm configurations are correct
- Log in to the FastGPT backend management interface, check the
REDIS_URLconfiguration item, and confirm that the connection address and port match the intranet cache service. - Upload an insulating oil report document for a single transformer, generate an access link, and verify that the token carried by the link can normally access the document content.
- Initiate an inspection Q&A request for a single device, and confirm that the system can return the corresponding equipment’s winding records, vacuum drying parameters, and high-voltage test data.
- View the storage service monitoring metrics, and confirm that the concurrent requests for document upload and download meet the business peak demand.
The values provided are common starting points and should be measured against the reader's own samples.