What the data for this category looks like
Daily documents for welded structural component manufacturing include welding procedure qualification records, welding procedure specifications, filler metal issue records, welder qualification records, weld inspection reports, and repair orders. Data sources cover design drawings, material quality certificates, welding equipment parameters, filler metal warehouses, non-destructive testing systems, and personnel qualification ledgers. Data updates are performed per weld, per batch, or per shift. Individual documents include core fields such as filler metal model, base material grade, welder qualification number, and inspection results. Some documents include numeric parameters such as weld thickness and repair count.
Constraints on HTTP Interfaces and External Systems
Multiple heterogeneous data sources require interfaces to adapt to the return formats of different external systems. Unified field mapping rules must be implemented to complete cross-document cross-review. The high-frequency update rhythm requires interfaces to support several calls per second, to avoid data synchronization delays caused by exceeded call frequency limits. Multiple document types require interfaces to recognize the validation logic for different documents, and perform specialized validation for rigid constraint fields such as welder qualifications and filler metal matching. Data errors can lead to structural failure, excessive repairs, or failure to accept special equipment. Therefore, interfaces must strictly restrict access permissions and validate data compliance, to avoid leakage or errors in core production data.
How to Configure Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
Authorization | Bearer {{prod_secret}} | Data related to welded structural components is production-sensitive information, and access must be restricted via a fixed authentication key |
variables | Bind weld ID and production batch number | Data is updated per weld or per batch, and variables must be used to accurately match corresponding documents |
responseData | Extract compliance validation results and repair record fields | Cross-review requires quick access to core compliance judgment data |
| Single request timeout | 30-60 seconds | Must wait for data returns from multiple external systems (filler metal warehouses, non-destructive testing systems) |
| Batch request limit | Top 20 entries | Matches the regular update volume per shift or per batch, to avoid interface overload |
| Response data cache duration | 10-15 minutes | Matches the synchronization rhythm of per-shift data updates, to reduce repeated calls |
Three Common Configuration Mistakes
- An interface returns a
401 Unauthorizedstatus code when theAuthorizationparameter is configured incorrectly, or an expired or invalid authentication key is used. - The
responseDatafield returned by an external system call is empty when thevariablesparameter is not bound correctly, and the weld ID or production batch number is not passed, so the corresponding document in the private knowledge base cannot be matched. - An interface call times out when no reasonable single request timeout is set, and waiting for returns from multiple external systems exceeds the regular request cycle.
How to Confirm Configuration Is Complete
- A test request with a correctly configured
Authorizationparameter is sent, and the interface is verified to return a 200 OK status code. - The
variablesparameter with a known weld ID is passed, and theresponseDatafield is checked to return compliance validation results for the corresponding document. - A batch request matching the regular update volume per shift is simulated, and the interface is confirmed to not throw timeout or overload errors.
- Request fields are cross-checked against those from daily documents, ensuring core fields such as filler metal model and welder qualification number are passed correctly.
The values provided are common starting points and should be evaluated against the user’s own samples.