320 lines
12 KiB
Markdown
Executable File
320 lines
12 KiB
Markdown
Executable File
# Brief: PDF Processing
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Work with existing PDFs: extract, merge, split, fill forms, convert formats, or **reformat** with a new design. Usually a Light triage path — except reformat, which escalates to Standard.
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---
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## Decision Tree
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```
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User request
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├─ "Extract text/tables/images" → §Extract
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├─ "Merge/split/rotate/crop pages" → §Pages
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├─ "Fill a form" → §Forms (check fillable first)
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├─ "Read/write metadata" → §Metadata
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├─ "Convert DOCX/PPTX/XLSX to PDF" → §Convert
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│ └─ DOCX with TOC? → §DOCX Pipeline (5-step)
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├─ "Redesign/reformat a document" → §Reformat
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│ └─ With a reference template? → §Template-Guided Reformat
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└─ Edge cases (OCR, encrypt, batch) → load briefs/process-advanced.md
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```
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---
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## Environment Check
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" env.check
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```
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Reports availability but does **not** auto-install. Required: Python 3, pikepdf, pdfplumber.
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Entry point: `python3 "$PDF_SKILL_DIR/scripts/pdf.py" <group>.<action> [options]`
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All commands return JSON on stdout (`{"status": "success", "data": {...}}`) or stderr (`{"status": "error", ...}`).
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Exit codes: 0 = success, 1 = bad args, 2 = file not found, 3 = parse error, 4 = operation failed.
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---
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## §Extract
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```bash
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# Text (full or page range)
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text report.pdf
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text report.pdf -p 1-3
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text report.pdf -p 1,4,7
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# Tables — returns structured JSON with page/rows/cols/data
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.table report.pdf
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# Images — dumps embedded rasters to directory
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.image report.pdf -o ./images/
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```
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---
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## §Pages
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.merge a.pdf b.pdf -o combined.pdf
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.split book.pdf -o ./chapters/
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.rotate doc.pdf 90 -o rotated.pdf
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.rotate doc.pdf 180 -o rotated.pdf -p 1-3
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.crop doc.pdf 50,50,550,750 -o trimmed.pdf
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.clean doc.pdf -o cleaned.pdf
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```
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---
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## §Metadata
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.get doc.pdf
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.set doc.pdf -o out.pdf -d '{"Title": "Report", "Author": "Jane"}'
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.brand doc.pdf -o branded.pdf
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```
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Recognised keys: `Title`, `Author`, `Subject`, `Keywords`, `Creator`, `Producer`.
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`meta.brand` adds standard branding metadata (producer, creator) in one step.
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---
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## §Forms
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### Step 1 — Check if fillable
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.info input.pdf
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```
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If `has_fields: true` → **Fillable workflow**. If `false` → **Non-fillable workflow**.
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### Fillable Workflow
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```bash
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# Inspect fields
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.info input.pdf
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# Fill (auto-maps "true"/"false" for checkboxes)
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.fill input.pdf -o filled.pdf \
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-d '{"name": "John", "agree": "true", "country": "US"}'
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```
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**Value rules:**
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| Type | Value | Example |
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|------|-------|---------|
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| text | Free string | `"name": "Jane Doe"` |
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| checkbox | `"true"` / `"false"` (auto-converts to PDF states) | `"agree": "true"` |
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| radio | One of `radio_options[].value` | `"gender": "/Choice1"` |
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| dropdown | One of `choice_options[].value` | `"country": "US"` |
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For complex forms, use `form.detail` and `form.render` for deeper inspection:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.detail input.pdf -o fields.json # full field info (types, options, defaults)
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.render input.pdf -o ./pages/ # render pages as PNG for visual check
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```
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### Non-Fillable Workflow (Annotation-Based)
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For PDFs without interactive fields (scanned forms, image-based). All four steps are mandatory.
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**Step 1 — Render pages as PNG** (required):
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.render input.pdf -o ./pages/
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```
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**Step 2 — Create `fields.json`** with annotation regions.
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To determine bbox coordinates: open the rendered PNG in an image viewer or use Python (`from PIL import Image; img = Image.open('page.png'); print(img.size)`) to get pixel dimensions. Then estimate [left, top, right, bottom] in pixels for each field by inspecting the image. The `dims` field must match the PNG dimensions exactly.
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```json
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{
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"sheet": [
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{
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"pg": 1,
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"dims": [1000, 1400],
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"regions": [
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{
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"id": "last_name",
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"hint": "Last name field",
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"label": {"tag": "Last name", "bbox": [30, 125, 95, 142]},
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"target": {"bbox": [100, 125, 280, 142]},
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"ink": {"value": "Simpson", "size": 14, "color": "000000"}
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}
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]
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}
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]
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}
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```
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Schema: `pg` = 1-based page, `dims` = [w,h] in pixels, `label.bbox` / `target.bbox` = [left, top, right, bottom], `ink` = {value, size?, color?, font?}. Label and target boxes must NOT intersect.
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**Step 3 — Validate bounding boxes** (required):
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```bash
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# Auto-check for intersections
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.check-bbox fields.json
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# Visual validation (red=target, blue=label)
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.validate 1 fields.json page1.png validation.png
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```
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Fix any issues, regenerate, re-check. Red rectangles must only cover input areas.
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**Step 4 — Fill via annotations**:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" form.annotate input.pdf fields.json -o filled.pdf
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```
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---
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## §Reformat
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Take an existing document and rebuild it with a new visual design. Content is preserved; layout, typography, and visual treatment are rebuilt from scratch.
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```
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1. EXTRACT → Extract content from source (extract.text / extract.table / read directly)
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2. STRUCTURE → Organize into sections (headings, body, tables, lists)
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3. DELEGATE → Route to appropriate brief:
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Structured → briefs/report.md (ReportLab)
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Visual → briefs/creative.md (Playwright)
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4. BUILD → Follow the delegated brief's full workflow
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5. DELIVER → New PDF, same content, new design
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```
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### §Template-Guided Reformat
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When user provides a reference PDF to match:
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```
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1. ANALYZE → Extract design DNA from template:
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- python3 "$PDF_SKILL_DIR/scripts/pdf.py" meta.get template.pdf (page size)
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- python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.image template.pdf (color samples)
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- python3 "$PDF_SKILL_DIR/scripts/pdf.py" extract.text template.pdf (text structure)
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- pdftoppm -png -r 150 template.pdf preview (visual reference)
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2. DOCUMENT → Record: page size, margins, colors, fonts, layout grid,
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header/footer pattern, decorative elements
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3. DELEGATE → Route to brief WITH design constraints (not brief defaults)
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4. BUILD → Follow brief workflow, constrained to template DNA
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5. COMPARE → pdftoppm both, visually compare side-by-side
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```
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**Key principles:**
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- Match the spirit, not the pixels — exact replication from PDF is impractical
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- Prefer original source files (.docx/.html/.tex) over PDF when available
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- Declare font substitutions upfront; don't silently fall back
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- Template provides design direction, not content — never leak placeholder text
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---
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## §Convert
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### Office → PDF (LibreOffice)
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**Simple conversion** (no TOC needed):
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" convert.office input.docx -o output.pdf
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```
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**When to use the 5-step DOCX Pipeline instead**: If the DOCX has (or should have) a Table of Contents, always use §DOCX Pipeline below. Signs: the document has 3+ headings, or the user mentions "table of contents" / "TOC", or the document already contains a TOC section. When in doubt, run `python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" fix-docx input.docx -o fixed.docx` — if it returns `no_toc_needed`, a simple conversion is fine.
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Or directly:
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```bash
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soffice --headless --convert-to pdf --outdir ./output input.docx
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```
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**Supported**: `.docx`, `.doc`, `.odt`, `.rtf`, `.pptx`, `.ppt`, `.xlsx`, `.xls`, `.ods`, `.csv`, `.html`
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**macOS path**: `/Applications/LibreOffice.app/Contents/MacOS/soffice`
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**Gotchas:**
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- soffice allows only one instance at a time; close existing LibreOffice windows or use `--env:UserInstallation=file:///tmp/libreoffice_tmp`
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- Missing Chinese fonts → squares. Ensure SimHei/SimSun are installed.
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- Large files (>50MB) may take 1-2 min; set reasonable timeout
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- soffice HTML→PDF is inferior to Playwright for complex CSS
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**Priority**: Always prefer soffice for Office→PDF (preserves themes, layouts, master slides). Only fall back to python-pptx/python-docx + HTML + Playwright if soffice is unavailable — fidelity will be lower.
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### Fallback: Spreadsheet → PDF without LibreOffice
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Use openpyxl + HTML + Playwright. Let data shape drive layout:
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| Factor | Decision |
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|--------|----------|
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| Columns ≤ 6 | Portrait |
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| Columns > 6 | Landscape |
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| Font size | Scale inversely with column count |
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| Styling | Follow user requirements or source file style; if unspecified, use defaults from `typesetting/palette.md` |
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### §DOCX Pipeline (5-Step with TOC)
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For DOCX files that need TOC generation/correction. Required because LibreOffice `--headless` does not recalculate PAGEREF fields.
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```
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Step 1: soffice → Convert original DOCX to PDF (pass1)
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Step 2: pages.clean → Remove blank pages from pass1
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Step 3: fix-docx → Add/fix TOC with HYPERLINK + PAGEREF + bookmarks
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Step 4: fix-pages → Correct TOC page numbers using pass1 as reference
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Step 5: soffice → Convert final DOCX to PDF + pages.clean
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```
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**Step 1 — Pass 1 Convert**:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" convert.office input.docx -o pass1.pdf
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```
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**Step 2 — Clean Blank Pages**:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.clean pass1.pdf -o pass1_clean.pdf
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```
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If `blank_pages_removed == 0`, use pass1.pdf directly.
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**Step 3 — Fix TOC**:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" fix-docx input.docx -o fixed.docx
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```
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Auto-detects and fixes: placeholder TOC, stale TOC (>50% drift), empty TOC, missing TOC (≥3 headings). Each entry gets `<w:hyperlink>` + `PAGEREF` + bookmarks for clickable PDF navigation.
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Check output `action` field: `fixed` → use fixed.docx, `skipped` → use original, `no_toc_needed` → skip to Step 5 with pass1 PDF.
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**Step 4 — Fix Page Numbers**:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" fix-pages fixed.docx pass1_clean.pdf -o final.docx
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```
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Corrects PAGEREF display text using actual page positions from pass1 + TOC page offset.
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**Step 5 — Final Convert + Clean**:
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```bash
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" convert.office final.docx -o output.pdf
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python3 "$PDF_SKILL_DIR/scripts/pdf.py" pages.clean output.pdf -o output_clean.pdf
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```
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### Post-Conversion Validation (Optional)
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```bash
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python3 "$PDF_SKILL_DIR/scripts/toc_validate.py" check-conversion final.docx output_clean.pdf
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```
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Issues caught: `CONV_TOC_LOST` (TOC disappeared), `CONV_HINT_LEAKED` (placeholder text in PDF), `CONV_HEADING_DRIFT` (heading count mismatch).
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---
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## Caveats
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| Topic | Detail |
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|-------|--------|
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| Encrypted PDFs | Not supported. User must decrypt externally first. |
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| < 50 MB | Instant |
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| 50–200 MB | 1–2 minutes |
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| > 200 MB | Split first, or extend timeout |
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| Memory | ~2-3× input file size |
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| Merge failure | Partial output may remain; delete and retry |
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| Split failure | Some page files may exist; inspect output dir |
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| Form fill | Original never modified; always writes new file |
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For edge cases (OCR, batch processing, poppler-utils, qpdf, performance tuning), load `briefs/process-advanced.md`.
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