# PROGRESS.md

This file records current progress for agents. Read it before starting work, then update it after meaningful changes. Completed historical work is archived in `docs/WORKARCHIVE.md`.

## Current Status

- Project direction is documented in `PRD.md`, `ARCHITECTURE.md`, `AGENTS.md`, and `docs/KNOWLEDGEBASE.md`.
- MinerU 3.1.0 is fixed as the only conversion engine.
- The converter currently includes path planning, project-owned records, metadata, direct local MinerU adapter boundary, Obsidian Markdown normalization, local quality checks, report rendering, conversion orchestration, `pdf2md convert`, `pdf2md recheck`, `pdf2md doctor`, local MathJax render checking, conservative MathJax warning mitigation, release-gate tests, and opt-in pre-conversion PDF chunking.
- `docs/V1IMPLEMENTATIONPLAN.md` defines the v1 implementation sequence.
- `docs/Sprints/` contains completed sprint contracts through Sprint 11.
- `docs/WORKARCHIVE.md` contains completed sprint history, historical verification results, runtime setup notes, and sample conversion evidence.
- `samples/` exists locally as fixture context.
- `outputs/` is ignored and contains local generated conversion outputs.

## Environment Notes

- OS/workspace: Windows PowerShell in `C:\git\PDFToMD`.
- Python target: 3.12.
- Local project Python observed: 3.12.13 in `.venv`.
- `uv` is installed per-user at `C:\Users\baram\.local\bin`.
- Target GPU documented for the original project setup: NVIDIA GTX 1070 Ti 8GB.
- Current PC GPU observed by `doctor`: NVIDIA GeForce RTX 4080 SUPER 16GB.
- Default conversion device: `cuda:0`.
- MinerU execution mode: direct local `mineru` CLI only.
- Strict-local allows MinerU 3.1.0's CLI-internal temporary local `mineru-api` when the CLI runs without `--api-url`.
- Strict-local prohibits `--api-url`, remote APIs, router mode, HTTP client backends, and remote OpenAI-compatible backends.
- Current `.venv` has project fast-test dependencies, CUDA-enabled PyTorch `2.6.0+cu126`, `torchvision 0.21.0+cu126`, and `mineru[core]==3.1.0`.
- Current `pdf2md doctor` status is PASS. MinerU, RTX 4080 SUPER CUDA PyTorch, local model config, MathJax, and strict-local checks pass.
- MinerU models were downloaded from Hugging Face by explicit setup command. Runtime model loading uses `MINERU_MODEL_SOURCE=local`.

## Recent Completed Work

- Archived completed sprint and setup history into `docs/WORKARCHIVE.md`.
- Added `docs/WORKARCHIVE.md` references to `AGENTS.md`, `PLAN.md`, `docs/V1IMPLEMENTATIONPLAN.md`, relevant `.codex/agents/*.toml`, `.codex/commands/*.md`, and project skills.
- Sprint 10 is implemented with `pypdf>=6.10.2,<7`, `src/pdf2md/pdf_splitter.py`, `--chunk-pages [PAGES]`, chunk-aware conversion orchestration, temporary chunk cleanup, and chunk report context.
- `--chunk-pages` is opt-in; when present without a value it uses 20 pages.
- `convert_pdf()` returns `BatchConversionResult` when `chunk_pages` is set and keeps returning `ConversionResult` when chunking is unset.
- Converted `samples/FourNodeQuadrilateralShellElementMITC4.pdf` with `MINERU_MODEL_SOURCE=local` and default `--gpu cuda:0`; output was written to ignored `outputs/FourNodeQuadrilateralShellElementMITC4/`.
- The FourNode sample conversion report status was `success`: 7 pages, 22 assets, 38 inline formulas, 16 display formulas, 0 math render errors, and 0 warnings.
- Installed uv `0.11.12` at `C:\Users\baram\.local\bin`, installed uv-managed CPython `3.12.13`, created `.venv`, and ran `uv sync`.
- Verified base project environment with `uv run pytest`: 163 passed, 1 skipped.
- Installed runtime dependencies on this PC: CUDA PyTorch `2.6.0+cu126`, `torchvision 0.21.0+cu126`, `mineru[core]==3.1.0`, local MathJax npm dependencies, and local MinerU models.
- Set user environment variable `MINERU_MODEL_SOURCE=local`.
- Verified full local runtime with `uv run pdf2md doctor`: PASS.
- Verified real local sample conversion: `samples/FourNodeQuadrilateralShellElementMITC4.pdf` to ignored `outputs/runtime-smoke/`, status `success`, 7 pages, 22 assets, 38 inline formulas, 16 display formulas, 0 math render errors, and 0 warnings.
- Converted `samples/MITC공부.pdf` to ignored `outputs/MITC공부/`; report status was `partial`: 13 pages, 107 assets, 23 inline formulas, 103 display formulas, 2 MathJax render warnings, and 0 missing or invalid asset links.
- Added `recheck_markdown()` and `pdf2md recheck <markdown.md>` to rerun local quality checks for an existing generated Markdown file and rewrite the adjacent metadata JSON and `.report.md` without rerunning MinerU.
- Verified `uv run pdf2md recheck outputs\MITC공부\MITC공부.md`; the command regenerated metadata/report and still reported 2 warnings because the current Markdown still contains the two MathJax-invalid expressions.
- Reconverted `samples/MITC공부.pdf` with `--overwrite` to ignored `outputs/MITC공부/`; report status remains `partial`: 13 pages, 107 assets, 23 inline formulas, 103 display formulas, 2 MathJax render warnings, and 0 missing or invalid asset links.
- Sprint 11 implemented conservative MathJax warning mitigation with failed-expression details, `src/pdf2md/math_repair.py`, shared `convert`/`recheck` repair integration, and `MATH_RENDER_REPAIRED` info warnings.
- Verified default fast suite: `uv run pytest` passed 172 tests with 1 skipped.
- Verified requested real sample: `uv run pdf2md convert samples\MITC공부.pdf --out outputs\sprint11-MITC공부 --overwrite` succeeded with 13 pages, 107 assets, 23 inline formulas, 103 display formulas, 0 MathJax render errors, and 2 `MATH_RENDER_REPAIRED` info warnings.

## In Progress

- No active implementation chunk.

## Blockers

- No active blocker.

## Next Actions

1. Review generated sample Markdown outputs in Obsidian if visual quality needs manual assessment.
2. Run additional real local sample validation only if requested, especially for new MathJax failure messages not covered by Sprint 11's narrow repair rules.
3. Run optional real local chunked conversion on a long sample only if requested.
4. Preserve strict-local runtime behavior: use local model paths, direct CLI execution, and no user-specified API or remote backend.