hanxing-AI Thesis MOE Archive (毕业论文检查材料归档)
Package each student's graduation materials into the Ministry of Education
(MOE) thesis-check deliverables. Portable: all heavy lifting is done by the
bundled scripts in scripts/ (Python 3 + pypdf only). No platform-specific
tools are required.
Deliverables (per student)
PREFIX is the MOE year code for the current review round, format
<YYYY>_XX_<5-digit school code>_<6-digit major code>. This skill embeds no
institution code: if the user has not provided it, ask before generating any
file, then reuse the same value for the whole batch. ID = student number
(digits, no separators), NAME = student name, ID+NAME = number and name
concatenated directly.
| Output | Contents |
|---|---|
{PREFIX}_{ID}_LW.pdf |
Thesis PDF (convert Word first if needed) |
{PREFIX}_{ID}_CL.zip |
Exactly 4 PDFs inside:① {PREFIX}_{ID}{NAME}_开题报告.pdf② {PREFIX}_{ID}{NAME}_中期检查.pdf③ {PREFIX}_{ID}{NAME}_结题报告.pdf④ {PREFIX}_{ID}{NAME}_开题+中期+结题.pdf (merged in order: opening → mid-term → final) |
{PREFIX}_{ID}_CCBG.pdf |
Plagiarism-check report PDF |
Output to the same directory as the student's source files, unless the user says otherwise. NEVER modify or overwrite the user's original files.
Workflow
1. Inventory inputs first
Identify, per student, five material types: thesis, opening report (开题), mid-term check (中期), final report (结题), plagiarism report (查重).
- Heuristics: file-name keywords (论文/LW, 开题, 中期, 结题, 查重/重复率/检测报告); when ambiguous, read page 1 text of the PDF to confirm the type.
ID= a run of 8–12 digits;NAME= the adjacent Chinese characters. Use the exact characters from the actual file names — users often mis-type a character when speaking (e.g. says 张三 but the file says 张叁).- If any type is missing, STOP and list what is missing; ask the user how to proceed (e.g. skip CCBG for now). Never guess or substitute another file.
- If one type has multiple files, list them and let the user choose.
2. Normalize everything to PDF
- PDFs: use as-is.
- Word (.doc/.docx):
python scripts/word_to_pdf.py input.docx -o output.pdf(tries MS Word via docx2pdf, then LibreOffice). OnMISSING_BACKEND, ask the user to export the PDF themselves; do not skip silently. - Other formats (CAJ, WPS…): try the same script or report honestly.
3. Merge the three reports
python scripts/merge_pdfs.py \
-o "{PREFIX}_{ID}{NAME}_开题+中期+结题.pdf" \
"{PREFIX}_{ID}{NAME}_开题报告.pdf" \
"{PREFIX}_{ID}{NAME}_中期检查.pdf" \
"{PREFIX}_{ID}{NAME}_结题报告.pdf"
The script verifies the merged page count equals the sum of inputs and exits non-zero on mismatch. Order is fixed: 开题 → 中期 → 结题.
4. Build the CL zip
python scripts/make_cl_zip.py \
-o "{PREFIX}_{ID}_CL.zip" \
"{PREFIX}_{ID}{NAME}_开题报告.pdf" \
"{PREFIX}_{ID}{NAME}_中期检查.pdf" \
"{PREFIX}_{ID}{NAME}_结题报告.pdf" \
"{PREFIX}_{ID}{NAME}_开题+中期+结题.pdf"
The script re-opens the zip and prints its namelist for verification.
5. Rename LW / CCBG
Copy (never move) the thesis PDF to {PREFIX}_{ID}_LW.pdf and the
plagiarism report to {PREFIX}_{ID}_CCBG.pdf.
6. Verify and report
Per student, confirm: merged page counts match; the zip contains exactly the 4 expected PDFs with character-exact names; every deliverable exists. Finish with a summary table: ID / name / LW / CL(4 files) / CCBG / page check / missing items or anomalies.
7. Batch behavior
For many students, process one at a time; a failure on one student must not block the others. Report all results together at the end.
Notes
- If an output file with the same name already exists, ask the user before overwriting.
- On Windows consoles, if Chinese output looks garbled, prefix commands with
PYTHONIOENCODING=utf-8. - Dependencies:
pip install pypdf(required);pip install docx2pdf(optional, for Word→PDF via MS Word) or a LibreOffice install.