What this category's data looks like
The formulation of talent cultivation programs in vocational colleges involves three types of materials: talent cultivation programs, course standards, and job competency analysis tables. The sources are revised drafts, reviewed drafts, and issued copies from the academic affairs office, secondary colleges, and professional teaching and research offices. The update cadence rolls forward with industry research, review by the teaching guidance committee, and academic-year filing. Fields include program name, course name, class hours and credits, job competency entries, formulation date, and signature fields. When the materials enter the document parsing and chunking function, the talent cultivation program serves as the main document carrying the overall framework, the course standards serve as supporting attachments detailing course objectives and content, and the job competency analysis table serves as supporting material providing competency entries and research data. The three are respectively stored as data rows for subsequent retrieval and citation synchronization.
Configuration and implementation checks
This step is executed by the parsing and training task (server-side task), outputting data rows and index status (parsed, indexing, indexed). The "version ledger and change records" are then completed by retrieval and subsequent processing. After parsing is completed, parsing and chunking are immediately stored as visible data rows and bound to a unique data identifier. The index flows through three states, and data pending indexing does not participate in recall.
| Object | Check | Verification action |
|---|---|---|
| Talent cultivation program | The program name, class hours and credits, formulation date, and signature fields should be consistent across the three materials, and the current version should be unique | Open the data row to check whether the status is parsed / indexing / indexed, and compare the signature and date |
| Course standards | The course name, number of class hours, formulation date, and signature receipt should be consistent with the corresponding records in the talent cultivation program | Check the file records and data rows separately, and check whether the fields are complete after splitting by chunkSize and chunkSplitter |
| Job competency analysis table | The job name, number of competency entries, research date, and signature should be synchronized with the references in the course standards | Check the data rows covered by the rebuild task, and confirm that only data with completed indexing is covered |
| Version ledger and change records | The current version is unique, old versions are traceable, and references are synchronized; after a change, the version number and references are updated at the same time | After changing one piece of content, check whether the task corresponding to trainingType and the referenced text are synchronized |
Three common errors
- Symptom: newly uploaded materials cannot be found. Cause: the data row is in parsed or indexing status, and data pending indexing is naturally isolated at the retrieval layer and is not recalled.
- Symptom: the name, quantity, and date of the same record do not match across two materials. Cause: the course standards and the talent cultivation program are parsed and stored separately, and the fields are not compared for consistency.
- Symptom: after training fails, empty data rows are left, or signatures and receipts are missing. Cause: training interruption leaves orphan data, and the signature fields are not updated in sync with the version.
How to verify the setup
This function's acceptance: upload one material, observe the data row status transitions and the coverage scope of the rebuild task, confirm that the three states parsed / indexing / indexed are consistent with the interface display, and that the rebuild only covers data with completed indexing.
Business test: change one piece of content, and see whether the version number and references are updated in sync
- Open the data row to check whether the status is parsed / indexing / indexed, and confirm that the identities of the file record and the data row are distinguishable from each other
- Check the data rows covered by the rebuild task, and confirm that changing the model only triggers a rebuild for data with completed indexing