What this category's data looks like
This page addresses the scenario of credit management for primary and secondary school teacher training. Material sources include training notices, credit recognition forms, and participant rosters. The update cadence rolls out with training batches, and fields involve teacher name, ID number, subject, class hours, credits, training date, signature and receipt columns. When these materials enter the document parsing and chunking function, the training notice serves as the source of terminology and the explanation of project scope, the credit recognition form serves as the credit quantity and recognition conclusion, and the participant roster serves as personnel identity and attendance records; together the three constitute the original basis for the unified terminology table and the comparison draft, and after parsing and chunking they form retrievable data rows for subsequent terminology comparison and translated-name back-reference.
Configuration and implementation checks
| Object | Check | Verification action |
|---|---|---|
| Training Notice | Fields include course name, credit hours, credits, and date; multilingual versions require consistent terminology; the judgment column checks whether names and dates match | Check the file records and data row identity, confirm the chunkSize and chunkSplitter settings, then check whether the data row status is parsed, indexing, or indexed |
| Credit Recognition Form | Fields include teacher name, project name, recognized credits, and signature; multilingual translations of names must be traceable back to the original text; the judgment column checks whether quantities and signatures are complete | Open the data row to verify that the status matches the interface display, check the processing mode corresponding to trainingType, and sample three terms to check whether their usage is consistent throughout the document |
| Participant List | Fields include participant name, unit, attendance, and receipt; multilingual versions must be synchronized; the judgment column checks whether names, quantities, and receipts match | Check the file records and data rows separately, confirm that the rebuild task only covers data that has already been indexed, and that data pending indexing does not participate in recall |
Three common errors
- Symptom: a newly uploaded training notice or participant roster cannot be found. Cause: the data row is in parsed or indexing, and data pending indexing is naturally isolated at the retrieval layer and is not recalled; successful parsing does not mean retrieval will necessarily hit.
- Symptom: the name, class hours, or training date of the same teacher do not match between the credit recognition form and the participant roster. Cause: the versions of the two materials are not synchronized, or signatures and receipts are missing, and the terminology table is not unified, causing the translated-name back-reference to the original text to fail.
- Symptom: after changing the model, the rebuild takes abnormally long. Cause: the rebuild task coverage is not limited to data whose indexing has been completed, or a failed training leaves empty data rows; in the initial training, covering data pending indexing and data being indexed is mistakenly treated as a rebuild target.
How to verify the setup
This function's acceptance: upload one material and observe the data row status transitions and the coverage scope of the rebuild task; confirm that the data row status transitions among the three states parsed, indexing, and indexed and is consistent with the interface display, that the identities of the file record and the data row are distinguished from each other, and that the rebuild covers only data whose indexing has been completed.
Business test: sample three terms and check whether the wording is consistent throughout the entire document, verify the names, quantities, dates, and signature receipts in the training notice, credit recognition form, and participant roster, and confirm that the translated names can back-reference the original text.
- Open the data row and check the status, confirm that it is in one of parsed, indexing, or indexed, and check the file record and the data row separately; look at the data rows covered by the rebuild task and confirm that data pending indexing does not participate in the rebuild.
- Sample three terms and check whether the wording is consistent throughout the entire document, compare item by item the names, class hours, credits, dates, and signature receipts in the training notice, credit recognition form, and participant roster, record inconsistent items, and back-reference the original paragraphs.