Add exports panel: versioned drafts, download, upload revisions, mark final

Export DOCX now saves to data/exports/{case_number}/ with auto-versioning
(טיוטה-v1, v2...). The case view UI shows all drafts with download buttons,
allows uploading revised versions (עריכה-v1...), and marking a version as
final (copies to training corpus for style learning).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/config.py

@@ -53,6 +53,7 @@ ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY", "")
 # Data directory
 DATA_DIR = Path(os.environ.get("DATA_DIR", str(Path.home() / "legal-ai" / "data")))
 TRAINING_DIR = DATA_DIR / "training"
+EXPORTS_DIR = DATA_DIR / "exports"
 
 # Cases directory — new structure: cases/{new,in-progress,completed}/{case_number}/
 CASES_BASE = Path(os.environ.get("CASES_BASE", str(Path.home() / "legal-ai" / "cases")))

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

@@ -169,11 +169,20 @@ async def export_decision(case_id: UUID, output_path: str | None = None) -> str:
 
         _write_block_to_docx(doc, block_id, block["title"], content)
 
-    # Determine output path
+    # Determine output path — versioned under data/exports/{case_number}/
     if not output_path:
-        case_dir = config.find_case_dir(case["case_number"]) / "output"
-        case_dir.mkdir(parents=True, exist_ok=True)
-        output_path = str(case_dir / f"החלטה-{case['case_number']}.docx")
+        export_dir = config.EXPORTS_DIR / case["case_number"]
+        export_dir.mkdir(parents=True, exist_ok=True)
+        # Find next version number
+        existing = sorted(export_dir.glob("טיוטה-v*.docx"))
+        next_ver = 1
+        for p in existing:
+            try:
+                ver = int(p.stem.split("-v")[1])
+                next_ver = max(next_ver, ver + 1)
+            except (IndexError, ValueError):
+                pass
+        output_path = str(export_dir / f"טיוטה-v{next_ver}.docx")
 
     Path(output_path).parent.mkdir(parents=True, exist_ok=True)
     doc.save(output_path)