feat(storage): X14 Phase 2a — route source-document writes through storage.py

Rewire the source-document staging writes onto the unified storage layer
(INV-STG1), replacing direct shutil.copy2 calls:
- tools/documents.py: case originals + training-corpus uploads
- services/ingest.py: _stage_file (now async) — covers precedent-library,
  internal-decisions, and digests (the canonical intake helper)
- services/digest_library.py: awaits the now-async _stage_file

Each write goes through storage.put_file(..., bucket=DOCUMENTS) with the
DATA_DIR-relative key; the Hebrew original filename rides as object metadata
(INV-STG2), content-type is guessed from the extension. DB path columns are
unchanged (still the absolute dest) — object_key backfill is Phase 3.

Under the default STORAGE_BACKEND=filesystem the bytes land at the exact
legacy on-disk location (put_file → shutil.copy2 to DATA_DIR/key), so this
is zero behaviour change in prod. shutil import dropped where now unused.

tests: +2 staging regression tests (file lands under DATA_DIR at the legacy
path); 20 storage + 22 ingest tests green; 242 collected with no import
breakage.

Derived/export write sites (thumbnails, extracted text, DOCX exports) are
Phase 2b. Keeps G2; advances INV-STG1. Spec: docs/spec/X14-storage-minio.md.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/services/digest_library.py

@@ -144,7 +144,7 @@ async def create_pending_digest(
         raise ValueError(f"file not found: {file_path}")
 
     await progress("staging", 10, "מעתיק קובץ")
-    staged = ingest._stage_file(src, DIGEST_LIBRARY_DIR, "incoming")
+    staged = await ingest._stage_file(src, DIGEST_LIBRARY_DIR, "incoming")
     rel_path = str(staged.relative_to(config.DATA_DIR)) \
         if str(staged).startswith(str(config.DATA_DIR)) else str(staged)
 

mcp-server/src/legal_mcp/services/ingest.py

@@ -14,8 +14,8 @@ from __future__ import annotations
 
 import asyncio
 import logging
+import mimetypes
 import re
-import shutil
 from dataclasses import dataclass
 from datetime import date
 from pathlib import Path
@@ -23,7 +23,7 @@ from typing import Awaitable, Callable
 from uuid import UUID, uuid4
 
 from legal_mcp import config
-from legal_mcp.services import chunker, db, embeddings, extractor
+from legal_mcp.services import chunker, db, embeddings, extractor, storage
 
 logger = logging.getLogger(__name__)
 
@@ -66,11 +66,20 @@ def _safe_filename(name: str) -> str:
     return re.sub(r"[^\w.\-+א-ת ]", "_", base) or f"upload-{uuid4().hex[:8]}"
 
 
-def _stage_file(src_path: Path, root: Path, subdir: str) -> Path:
-    dest_dir = root / (subdir or "other")
-    dest_dir.mkdir(parents=True, exist_ok=True)
-    dest = dest_dir / f"{uuid4().hex[:8]}_{_safe_filename(src_path.name)}"
-    shutil.copy2(src_path, dest)
+async def _stage_file(src_path: Path, root: Path, subdir: str) -> Path:
+    """Stage an intake file through the unified storage layer (INV-STG1).
+
+    Returns the DATA_DIR path the rest of the pipeline reads from — under the
+    filesystem/dual backends the bytes are on disk and the key is the
+    DATA_DIR-relative path. The Hebrew original filename rides as object
+    metadata, never as the key (INV-STG2)."""
+    dest = root / (subdir or "other") / f"{uuid4().hex[:8]}_{_safe_filename(src_path.name)}"
+    key = dest.relative_to(config.DATA_DIR).as_posix()
+    await storage.put_file(
+        src_path, key, bucket=storage.Bucket.DOCUMENTS,
+        content_type=mimetypes.guess_type(src_path.name)[0],
+        metadata={"filename": src_path.name},
+    )
     return dest
 
 
@@ -151,7 +160,7 @@ async def ingest_document(
         if not src.is_file():
             raise FileNotFoundError(f"file not found: {src}")
         await progress("staging", 5, "מעתיק את הקובץ לאחסון")
-        staged = _stage_file(src, spec.staging_root, spec.staging_subdir(inputs))
+        staged = await _stage_file(src, spec.staging_root, spec.staging_subdir(inputs))
         await progress("extracting", 15, "מחלץ טקסט מהקובץ")
         try:
             raw_text, page_count, page_offsets = await extractor.extract_text(str(staged))

mcp-server/src/legal_mcp/tools/documents.py

@@ -4,12 +4,12 @@ from __future__ import annotations
 
 import hashlib
 import json
-import shutil
+import mimetypes
 from pathlib import Path
 from uuid import UUID
 
 from legal_mcp import config
-from legal_mcp.services import audit, db, git_sync, processor
+from legal_mcp.services import audit, db, git_sync, processor, storage
 from legal_mcp.tools.envelope import empty, err, ok  # GAP-48: SSoT envelope
 
 
@@ -50,11 +50,14 @@ async def document_upload(
             "idempotent_existing": True,
         }, message=f"הקובץ כבר הועלה לתיק {case_number} (זהה ב-hash) — מוחזר הקיים, ללא עיבוד מחדש.")
 
-    # Copy file to case directory
-    case_dir = config.find_case_dir(case_number) / "documents" / "originals"
-    case_dir.mkdir(parents=True, exist_ok=True)
-    dest = case_dir / source.name
-    shutil.copy2(str(source), str(dest))
+    # Stage the original through the unified storage layer (INV-STG1).
+    dest = config.find_case_dir(case_number) / "documents" / "originals" / source.name
+    await storage.put_file(
+        source, dest.relative_to(config.DATA_DIR).as_posix(),
+        bucket=storage.Bucket.DOCUMENTS,
+        content_type=mimetypes.guess_type(source.name)[0],
+        metadata={"filename": source.name},
+    )
 
     # For auto classification, start with "reference" — will be updated after processing
     initial_doc_type = doc_type if doc_type != "auto" else "reference"
@@ -156,10 +159,14 @@ async def document_upload_training(
     }
     subdir = _SUBTYPE_DIRS.get(appeal_subtype, "")
     training_dest = config.TRAINING_DIR / subdir if subdir else config.TRAINING_DIR
-    training_dest.mkdir(parents=True, exist_ok=True)
     dest = training_dest / source.name
     if source.resolve() != dest.resolve():
-        shutil.copy2(str(source), str(dest))
+        await storage.put_file(
+            source, dest.relative_to(config.DATA_DIR).as_posix(),
+            bucket=storage.Bucket.DOCUMENTS,
+            content_type=mimetypes.guess_type(source.name)[0],
+            metadata={"filename": source.name},
+        )
 
     # Extract text and strip Nevo preamble
     text, page_count, _ = await extractor.extract_text(str(dest))