3.8 KiB
3.8 KiB
Multi-Version Contract Comparison Table (三版对比表)
When to Use
When Maggie/Doro asks to compare multiple versions of a contract (typically: template / counterparty revision / our revision), produce a structured docx comparison table.
Pattern (2026-07-03 模特合作协议 session)
Document Setup
- Landscape orientation for 4-5 columns:
section.orientation = 1; page_width=Cm(29.7); page_height=Cm(21.0) - Narrow margins: 1.2-1.5cm all sides
- Font size 8.5-9pt for table cells (fits more content)
Table Structure
| 条款 | 【模版】 | 版本A(对方修订) | 版本B(我方修订) | 双方协商一致 |
|---|
Red Font for Differences
- Column N is red when its content differs from other versions
- Use
RGBColor(0xFF, 0x00, 0x00)on the run - "协商一致" column: red = current text doesn't match consensus → needs modification
Yellow Background for Consensus Column
def set_cell_shading(cell, color):
tc = cell._element
tcPr = tc.find(qn('w:tcPr'))
if tcPr is None:
tcPr = OxmlElement('w:tcPr')
tc.insert(0, tcPr)
shading = OxmlElement('w:shd')
shading.set(qn('w:fill'), color) # e.g. 'FFF8E1' for light yellow
shading.set(qn('w:val'), 'clear')
tcPr.append(shading)
Header Row Styling
- Blue background (
D9E2F3) - Bold, centered, font size 8.5pt
Data Structure in Code
# Each row: (clause_name, col1_text, col2_text, col3_text, col4_text, col2_red, col3_red, col4_red)
rows = [
('条款名',
'模版内容',
'对方修订内容',
'我方修订内容',
'协商一致内容',
True, # col2 red? (differs from others)
False, # col3 red?
True), # col4 red? (doesn't match consensus)
]
Legend at Bottom
Include a legend explaining what red means in each column:
- 版本A列红色 = 与模版/我方版不一致(对方的修改)
- 版本B列红色 = 与模版不一致(我方的修改)
- 协商一致列红色 = 当前文本与协商一致不符,需要修改
Key Lessons
- Read all three files from Nextcloud using
sudo find ~/nextcloud/data/data/...path - Extract paragraph text using python-docx:
[(i, p.text.strip()) for i, p in enumerate(doc.paragraphs) if p.text.strip()] - Check tables separately:
doc.tables— contracts often have signature blocks and SNS account tables - Align comparison by clause semantics, not paragraph index — different versions may have different paragraph counts
- Also upload to Nextcloud for viewing in OnlyOffice
Per-Run Precision for Tracked Changes (Maggie's correction)
When applying tracked changes based on comparison results, never replace entire paragraphs. Instead:
- Identify the specific runs containing text to change
- For each run: create w:del wrapping a deepcopy (converting w:t → w:delText), create w:ins with new text and cloned rPr, swap in place
- All surrounding runs remain untouched
# Find specific run by text content
for r in para_element.findall(qn('w:r')):
text = ''.join(t.text or '' for t in r.findall(qn('w:t')))
if text == '¥700,000': # exact match on this run
r_parent = r.getparent()
r_idx = list(r_parent).index(r)
# Create del wrapping copy of this run
del_elem = make_del_run_from_existing(r)
# Create ins with new value, same rPr
ins_elem = make_ins_run('¥600,000', r.find(qn('w:rPr')))
r_parent.remove(r)
r_parent.insert(r_idx, ins_elem)
r_parent.insert(r_idx, del_elem)
break
This produces clean tracked changes where Word/OnlyOffice shows exactly which characters changed (e.g., 700,000 → 600,000) rather than entire-paragraph replacements.