PDF Fixture Generator

Generate complete PDF test fixtures that combine:

• Proper ReportLab tables via fixture-table (detectable by Marker/Camelot)
• AI-generated images via fixture-image (diagrams, decorative elements)
• Text content with various formatting challenges

Why This Exists

Creating test PDFs that properly exercise extractors requires:

1. Tables built with ReportLab (not raw drawing commands)
2. Images that test VLM classification (decorative vs data)
3. Edge cases: empty sections, malformed titles, nested structures

This skill orchestrates sibling skills for modular, reusable fixtures.

Quick Start (New)

cd .pi/skills/pdf-fixture

# Generate the extractor bug reproduction fixture
uv run generate.py extractor-bugs --output test.pdf

# Generate a simple fixture
uv run generate.py simple --output simple_test.pdf

# List available presets
uv run generate.py list-presets

# Verify table detection
uv run generate.py verify test.pdf

Presets

Sibling Skills Used

Cached images from fixture-image/cached_images/:

• decorative.png - Cover illustration
• flowchart.png - Process diagram
• network_arch.png - Architecture diagram

Legacy Usage (Still Supported)

# Via wrapper (uses extractor project)
./run.sh --example --name test_fixture
./run.sh --spec content_spec.json --name my_fixture

JSON Spec Format (Legacy)

{
  "style": "standard",
  "sections": [
    {
      "title": "1. Requirements",
      "level": 1,
      "content": [
        {"type": "text", "text": "This document describes requirements."},
        {"type": "table", "columns": ["ID", "Name"], "rows": [["1", "Alice"]]},
        {"type": "figure", "description": "Architecture diagram"}
      ]
    }
  ]
}

Output

• extractor_bugs_fixture.pdf - Cached in cached_fixtures/
• Custom output via --output flag

Dependencies

dependencies = [
    "pymupdf>=1.23.0",
    "reportlab>=4.0.0",
    "typer>=0.9.0",
    "pillow>=10.0.0",
]