Phase 1 MVP: synchronous OCR + regex header extraction

Implements the foundation of the OCR Sprint service:
- FastAPI app with /api/v1/health and /api/v1/documents (sync upload)
- Pydantic v2 schemas for documents, extraction result, personnel
- Pipeline: PDF/image ingest (PyMuPDF), preprocessing (resize, deskew,
  denoise, optional adaptive threshold), PaddleOCR wrapper, regex-based
  header extraction (nomor sprint, tanggal, satuan, perihal, dasar),
  signatory NRP, master-pangkat validation, confidence scoring + routing.
- Tests: 61 unit tests covering regex rules, validators, preprocess,
  ingest, confidence, and API contract (PaddleOCR mocked).
- Tooling: pyproject (setuptools), ruff, mypy strict, pytest, pre-commit,
  Dockerfile, docker-compose, Makefile.
- Docs: README + docs/architecture.md (full hybrid stack rationale and
  6-phase roadmap).

Co-authored-by: adrian kuman firmansah <adriancuman@gmail.com>

src/ocr_sprint/api/routes/health.py

@@ -0,0 +1,15 @@
+"""Liveness / readiness endpoints."""
+
+from __future__ import annotations
+
+from fastapi import APIRouter
+
+from ocr_sprint import __version__
+
+router = APIRouter(tags=["health"])
+
+
+@router.get("/health")
+async def health() -> dict[str, str]:
+    """Lightweight liveness check — does NOT touch the OCR engine."""
+    return {"status": "ok", "version": __version__}