What data for this category looks like
Data for this category comes primarily from concentrate and auxiliary material analysis reports, production DCS systems, electrolyzer voltage and current monitoring, laboratory test results, and energy and environmental monitoring terminals. Daily documents include batching lists, smelting records, electrolyzer condition records, test reports, anode and cathode quality records, and environmental protection ledgers. Data update rhythm adjusts with production batches. Corresponding records are generated for each batch of raw materials, each furnace, or each electrolyzer. Some working condition parameters update in real time. Document fields include raw material component proportions, equipment operating values, batch numbers, and test indicator results. Formats flexibly adjust based on production links.
What constraints these characteristics impose on deployment and upgrade
Data for this category is multi-source, scattered, and has widely varying update rhythms. Some parameters are pushed in real time, while others are generated in batches with production runs. Deployment must adapt to multi-source data access and synchronization logic for different update frequencies. Daily document formats are inconsistent, including tabular records, text-based condition descriptions, and other forms. Upgrades must support custom document parsing rules to avoid losing key fields. The accuracy of equipment inspection and maintenance Q&A directly impacts production stability. Deployment must reserve sufficient computing resources to support real-time retrieval and knowledge base updates. High-availability storage and database connections must be configured to ensure business continuity.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–15 connections | Adapts to concurrent demands of multi-source production data synchronization and real-time retrieval, prevents database connection exhaustion from disrupting business |
MONGODB_URI | Connection address pointing to a dedicated enterprise intranet MongoDB instance | Stores unstructured production records and knowledge base documents, ensures data security and intranet access speed |
REDIS_URL | Enterprise intranet Redis cluster address, set 600 second cache expiration time | Caches frequently retrieved electrolyzer condition data, reduces database query load and shortens Q&A response time |
STORAGE_S3_ENDPOINT | Endpoint address of the internal enterprise object storage service | Stores large attachments such as smelting records and test reports, avoids occupying local storage resources |
FE_DOMAIN | Dedicated enterprise intranet access domain name | Ensures internal production departments can only access the service through specified addresses, complies with network isolation requirements for production environments |
Three common mistakes
- Symptom: Knowledge base index creation steps get stuck, with no progress feedback over long periods. Cause: Storage connections adapted for multi-source production data are not configured, or the instance pointed to by
MONGODB_URIhas insufficient storage space to write large volumes of electrolyzer records. - Symptom: When adding an external model channel, testing passes but the interface shows the channel as unavailable. Cause: The
FE_DOMAINconfiguration does not include the intranet address of the model proxy service, or theREDIS_URLexpiration time is set too short, causing channel configuration cache to be cleared prematurely. - Symptom: Docker-deployed service cannot connect to WeChat projects, with permission errors returned for interface calls. Cause:
FILE_TOKEN_KEYis not configured to generate valid access tokens, or theROOT_KEYpermission configuration does not open interface call permissions for WeChat projects.
How to confirm configurations are correct
- Run concurrent connection tests, observe whether database connection numbers fall within the configured range, with no sustained over-limit conditions.
- Submit an electrolyzer condition record document to trigger the knowledge base index creation process, confirm that index generation progress is not stuck, and that document content can be retrieved normally.
- Call the external model channel test interface, confirm that the channel status displayed on the interface matches the test results, with no abnormal error reports.
- Verify interface call requests from WeChat projects, confirm that returned results meet expectations, with no permission-related errors.
The values provided are common starting points and should be measured against the reader's own samples.