This document is compatible with FastGPT v4.17.0, and covers HTTP interface integration scenarios for cross-review of technical documentation in PCB manufacturing.
What This Category of Data Includes
Data for this category comes from customer-provided Gerber files, drill files, BOM lists, as well as in-plant CAM system data, production equipment parameters, bath solution test results, AOI inspection reports, electrical testing reports, and laboratory slice reports. Daily documentation includes engineering production instructions, Gerber analysis records, drilling and lamination parameters, chemical analysis records, defect inspection reports, and more. Data updates run per production batch and per shift, with some equipment data collected continuously. Fields include graphic layer numbers, drilling parameters, defect coordinates, chemical solution concentrations, and others. There are no unified fixed units; units adapt based on document type.
Constraints on HTTP Interfaces and External Systems
This category’s data is multi-source heterogeneous, with varying update frequencies and diverse document types. These traits impose multiple constraints on HTTP interface and external system integration. Multiple data sources require interfaces to support batch pulling and real-time synchronization to prevent data lag from affecting cross-review results. Different document types require interfaces to adapt to diverse transmission formats and field structures; data interaction cannot be completed with a single template. Per production batch and per shift update rhythms require interfaces to support dynamic data pulling by production batch, while accommodating continuously collected equipment data pushes. Data fields have no unified units, so interfaces must support custom field mapping to convert data from different sources into a unified review format. Errors can lead to severe consequences, so interfaces need complete error handling mechanisms to ensure data transmission integrity and accuracy.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer Token format, bound to the workspace application key | Complies with general API authentication specifications to ensure interface call security |
variables | Configure business variables such as production batch, equipment type | Enable dynamic pulling of document data for the corresponding production batch |
responseData | Only extract core business fields and filter redundant content | Simplify the data analysis process for subsequent cross-review |
| Timeout Period | 600 seconds | Match the time requirements of multi-source heterogeneous data pulling to avoid request interruption |
| Batch Pull Limit | Top 50 production batch data | Balance interface load and data synchronization efficiency |
| Retry Count | 3 times | Address request failures caused by network fluctuations and ensure data transmission stability |
Three Common Configuration Errors
- Phenomenon: A 401 Unauthorized status code is returned after calling the interface, or a call using a universal key succeeds. Cause: The interface does not have an exclusive
Authorizationauthentication parameter bound, and a global universal key is misused, creating data access risks. - Phenomenon: Conversation context cannot be persisted across requests, and only a single review result is returned per call. Cause: The conversation history storage field is not configured in
variables, so the context of each request is not passed persistently. - Phenomenon: The review result returned by the interface only displays abstract conclusions and does not include original document fragments. Cause: No rule for extracting original fields is configured through
responseData, so only aggregated processing data is captured.
How to Verify Configuration Correctness
- Call the interface and check that the returned status code is 200 to confirm the
Authorizationauthentication configuration works. - Initiate two consecutive interface calls to verify whether conversation context is correctly persisted, and confirm the storage field configured in
variablesfunctions properly. - View the
responseDatacontent returned by the interface to confirm whether it includes the core fields of the original document, and verify the data extraction rules are correct. - Simulate network fluctuations to confirm the interface can still return valid data after triggering the retry mechanism, and verify the retry configuration is effective.
The values provided here are common starting points and should be evaluated against the reader's own samples.