What Data Looks Like for This Category
Technical documents for the semiconductor packaging and testing process include packaging process cards, bonding and molding parameters, wafer incoming maps, test program versions, yield reports, and failure analysis reports. Data sources cover wafer test maps, manufacturing execution systems (MES), bonding and molding equipment, ATE test machines, X-ray/SAM testing equipment, and customer specification requirements. Document update frequency is adjusted synchronously based on production batches, single-chip test results, and daily operations. Different document fields contain exclusive identifiers and units such as wafer numbers, test bin values, parameter thresholds, and device serial numbers.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
The multi-source heterogeneous data sources and high-frequency update rhythm of this category create multiple constraints for HTTP interface and external system integration. Document formats output by different devices and MES systems vary significantly. Interfaces must support transmission of both structured parameters and unstructured attachments. High-frequency updated production and test data require interfaces to support batch, low-latency calls. Timeout thresholds must align with the processing cycle of single-batch data. Exclusive fields across multiple document types require interface parameters to be configured for specific document categories. A verification mechanism must also be implemented to prevent mixed batch or misalignment risks.
How to Configure the Settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale for This Setting |
|---|---|---|
Authorization | Bearer <encrypted API key> | Complies with HTTP interface authentication standards, ensuring only authorized external systems can access the interface |
variables | {"doc_type": ["packaging process card", "wafer incoming map"], "update_freq": ["per batch", "daily"]} | Matches the document types and update rhythm of this category, delivering targeted business context parameters |
| Single-call timeout | 60–120 seconds | Adapts to the processing cycle of multi-document single batches, avoiding timeout interruptions during high-frequency calls |
responseData validation rules | Includes docid, batchnumber fields | Ensures returned data carries production batch and document identifiers, facilitating cross-review matching |
| Concurrency limit | First 20 concurrent requests | Matches the single-batch production concurrency scale of packaging and testing factories, avoiding system overload |
Three Common Misconfigurations
- The symptom is that after configuring API authentication parameters on a local Linux server, the interface page continues loading without responding. The cause is that the
Authorizationparameter is not configured in theBearer <encrypted API key>format, or the server has not been granted permissions for the corresponding outbound port. - The symptom is that a 403 status code is returned when calling the interface via an FRP-penetrated deployment instance. The cause is that the penetration mapping is not correctly associated with the FastGPT API service port, and authentication parameters are not fully transmitted with the penetration request.
- The symptom is that the number of returned results does not meet expectations during high-concurrency interface calls. The cause is that a reasonable concurrency limit is not set, and part of the requests are blocked because the system’s carrying threshold is exceeded.
How to Verify Successful Configuration
- Select a single packaging process card as test input, initiate an interface call, and check whether the returned
responseDataincludes preset business identifier fields. - Simulate multi-batch high-frequency requests, observe interface response stability, and adjust timeout and concurrency configurations to a range that matches the business rhythm.
- Verify that requests without valid
Authorizationparameters cannot obtain valid business data. - Compare the document batch number passed in by the external system with the batch information returned by the interface, ensuring the matching logic meets business requirements.
The values provided are common starting points and should be measured against the reader's own samples.