What this category's data looks like
This category's data looks like this: The formulation of talent cultivation programs in vocational colleges involves three types of materials: talent cultivation programs, course standards, and job competency analysis forms. A talent cultivation program contains the major name, program length, cultivation objectives, course structure, implementation arrangements, and approval signatures; a course standard contains the course name, credit hours and credits, objectives, content, and assessment methods; a job competency analysis form contains the job name, competency items, corresponding courses, and signature receipts. The materials come from academic affairs, secondary schools/departments, and the professional construction committee, with an update rhythm of concentrated revision at the beginning of the semester, minor adjustments during the semester, and consolidation at the end of the semester. When entering this function, the talent cultivation program serves as the main record, and the course standards and job competency analysis forms serve as related materials, each providing fields, dates, and signature information for use in progress records and statistical verification.
Configuration and implementation checks
Configuration and implementation checks: This step is executed by the HTTP node in the workflow, outputting the response body, status code, and returned fields. The progress table and statistical scope description are parsed from the response by subsequent nodes, or handled externally by an external system according to the agreement to complete the rest. The HTTP node does not replace the external system in writing to the database or approving.
| Object | Check | Verification action |
|---|---|---|
| Talent cultivation program | Fields, dates, and signatures are complete, and the name and quantity are consistent with the course standards | View the full rendered address in the request preview, and check the source of variables |
| Course standard | Credit hours and credits and the course name match the talent cultivation program, and the version is synchronized | Use a sample request to compare the response, and check the responseData fields |
| Job competency analysis form | The job name, competency items, and corresponding courses are consistent with the course standards, and the signature or receipt is complete | Check the request header names and value sources, and confirm that Authorization is passed in |
| HTTP request | The placeholder variables in the path parameters, request body, and request headers can be parsed into actual values | Check the source of each placeholder in the variables panel, and compare the returned fields |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the talent cultivation program and the course standard. Cause: The two materials are entered separately, without field-level comparison and unified scope.
- Symptom: The course standard version is not synchronized, and the old credit hours and credits are still counted. Cause: After revision, the related materials were not updated, and the progress record still points to the old version.
- Symptom: The job competency analysis form lacks a signature or receipt but is counted as completed during statistics. Cause: The progress record only records the number of entries and does not check the signature field and receipt status.
How to verify the setup
How to verify the setup: Acceptance for this function: preview the rendered request, check the status code and returned fields, then compare the result against a sample; check the placeholder sources for variables, responseData, and Authorization.
Business test: Use one week of records to check the totals, and see whether the scope and exceptions are clearly written; the number of records and the statistical count match, and the scope is written in the header.
- In the variables panel, check the source of each placeholder, and confirm that the variables in the request address, request headers, and request body can be parsed into actual values.
- Use a sample request to compare the response, check that the fields are consistent with the external interface agreement, and check whether the returned fields include the required statistical scope.