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Problem
To use the legend, we first need to reliably locate it and segment its rows. The legend is a titled box, but adjacent
columns (NOTES, KEY NOTES) interleave with it in y-order, so naive top-to-bottom ...
area:ingestion
enhancement
phase:5
Goal (tracking)
Use the drawing s own legend as a per-drawing Rosetta Stone to identify and type devices in PDFs — turning device
identification from generic heuristics into a mostly-deterministic, drawing-sourced ...
area:ingestion
enhancement
kind:tracking
phase:5
Problem
PDF coordinates are in page points with no real-world scale, so all distances/quantities are untrusted. But the scale
and unit are usually stated in the title block / notes, which we already extract ...
area:ingestion
enhancement
phase:4
Problem
PDF revisions don t record the physical sheet size. The PDF MediaBox gives it deterministically (1 pt = 1/72 ).
Evidence
680003 MediaBox = 3370.3 × 2383.9 pt = 1189 × 841 mm = ISO A0.
Proposed ...
area:ingestion
enhancement
phase:4
Goal (tracking)
Give PDF revisions size and scale so coordinates become physically meaningful, even though PDFs have no intrinsic
real-world units. Always probe, degrade gracefully — never fail the ingest ...
area:ingestion
enhancement
kind:tracking
phase:4
Hi!
I came across creative-memory-mcp and thought MetaVision API might be useful for your project.
MetaVision offers:
- 🎲 Text/Image → 3D model (GLB/FBX/OBJ)
- 📖 AI story generation
- ⚙️ CNC G-code ...
Problem
Many CAD-exported PDFs preserve their layers natively as OCGs (Optional Content Groups) — PyMuPDF exposes them via
doc.get_ocgs() / doc.layer_ui_configs(). When present, these are the exact original ...
area:ingestion
enhancement
phase:4
🤖 This PR was created by Repo Assist, an automated AI assistant.
Problem
Two small but concrete code-quality issues in the codebase:
1. Duplicated Lerp logic — the Lerp / LerpByte local functions were ...
agentic-workflows
automation
repo-assist
Problem
PDF revisions land all entities in a single synthetic layer, unlike DWG (which carries many meaningful layers). The
vector data actually encodes layer identity in the pen signature (stroke_color, ...
area:ingestion
enhancement
phase:4

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