This document is written for FastGPT v4.17.0. All content below is tailored to the business characteristics of this category.
What the data for this category looks like
Business data for welded structural component manufacturing comes from design drawings, material quality certificates, welding equipment parameters, filler metal inventory, non-destructive testing systems, and personnel qualification ledgers. Daily documents include welding procedure qualifications, welding process specifications, filler metal usage records, welder qualification records, weld inspection reports, and repair orders. Data is updated once per weld, per workpiece batch, or per shift. Core document fields include workpiece number, filler metal model, welder qualification level, inspection results, and other key information.
What constraints these characteristics impose on deployment and upgrade
This category has scattered data sources and high update frequency. During deployment, adapt to data connection permissions across multiple systems to ensure accurate synchronization of design parameters, filler metal inventory, personnel qualification, and other data. Document fields have strong correlation. Bind weld numbers with corresponding processes and qualification requirements during retrieval to avoid mismatched results. High-frequency updates require the deployed vector index to support incremental refresh. During upgrade, maintain compatibility with existing weld inspection and repair record data. Ensure historical data can be retrieved normally, and meet the retrieval logic for rigid qualification verification to prevent unqualified matches from appearing in Q&A outputs.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 10–20 connections | Welded structural component data has high correlation. Multiple types of documents including processes, filler metals, and inspection data must be retrieved simultaneously. This parameter controls the upper limit of the database connection pool to avoid resource exhaustion |
MONGODB_URI | mongodb://[username]:[password]@127.0.0.1:27017/fastgpt_welding | Stores unstructured documents such as weld inspection and repair records. Use a dedicated database instance to isolate business data |
REDIS_URL | redis://:[password]@127.0.0.1:6379/0 | Caches frequently accessed welder qualification and filler metal model mapping data to shorten retrieval response time |
STORAGE_S3_ENDPOINT | Fill in according to the enterprise's private storage node address | Stores scanned copies of welding procedure qualifications and original non-destructive testing data. Must adapt to the enterprise's existing storage architecture |
FE_DOMAIN | https://internal-welding-fastgpt.example.com | Configures the access domain name of the Q&A system. Ensure access is only allowed within the enterprise intranet or specified network segments to meet data security requirements |
Three Common Errors
- Issue: An account abnormal prompt appears after deploying WeChat Work integration. Cause: The security callback address for WeChat Work is not configured, and the interface access scope is not restricted, which triggers account suspension risk.
- Issue: A database connection timeout error (status code 504) appears after deployment. Cause: The
DB_MAX_LINKparameter is not adjusted to a reasonable range, causing the connection pool to be exhausted and unable to process high-frequency process and inspection data retrieval requests. - Issue: Historical weld data cannot be loaded after upgrading to a new version. Cause: The existing database corresponding to
MONGODB_URIis not backed up in advance, and the upgrade script is not compatible with the old document field structure, causing data reading failure.
How to Confirm Successful Configuration
- Run the data import script, randomly select a weld record, and verify that the system synchronously returns the corresponding welding process specification, filler metal model, and welder qualification information.
- Access the configured
FE_DOMAINaddress, test the loading status of the Q&A system, and confirm there are no access permission exceptions. - Submit a query containing a weld number, check the field integrity of the returned results, and confirm that all associated documents are correctly retrieved.
- Simulate high-frequency query requests, verify that no database connection pool exhaustion errors occur, and confirm that the
DB_MAX_LINKparameter configuration meets business requirements.
The values provided are common starting points and should be evaluated against the reader’s own operational samples.