Add case_delete: MCP tool + DELETE endpoint + DB helper

Wires a new case-deletion path across the three layers that needed it:

- db.delete_case(case_id) — single SQL DELETE; documents, chunks, and
  qa_results cascade via existing schema FKs, audit_log nullifies.
- cases_tools.case_delete(case_number, remove_files=False) — MCP tool
  wrapper. File tree on disk is kept by default (audit trail); pass
  remove_files=True for a hard delete.
- DELETE /api/cases?case_number=... — FastAPI endpoint taking the case
  number as a QUERY param rather than a path segment. Case numbers
  like "1000/0426" can't be passed through a path parameter because
  FastAPI routing decodes %2F before matching, so a query param is
  the only shape that works for historical data.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-04-11 16:47:50 +00:00
parent 26d09d648f
commit 8989ad9a9b
4 changed files with 67 additions and 0 deletions

View File

@@ -3,6 +3,7 @@
from __future__ import annotations
import json
import shutil
import subprocess
from pathlib import Path
from uuid import UUID
@@ -214,3 +215,37 @@ async def case_update(
)
return json.dumps(updated, default=str, ensure_ascii=False, indent=2)
async def case_delete(case_number: str, remove_files: bool = False) -> str:
"""מחיקת תיק ערר. מסיר את התיק מ-DB עם cascade לכל המסמכים והטענות.
Args:
case_number: מספר תיק הערר
remove_files: האם למחוק גם את תיקיית הדיסק (drafts, git repo).
ברירת מחדל False — ה-DB נמחק אבל הקבצים נשמרים לגיבוי.
"""
case = await db.get_case_by_number(case_number)
if not case:
return json.dumps(
{"deleted": False, "reason": f"תיק {case_number} לא נמצא."},
ensure_ascii=False,
)
case_id = UUID(case["id"])
ok = await db.delete_case(case_id)
result = {
"deleted": ok,
"case_number": case_number,
"case_id": str(case_id),
"removed_files": False,
}
if ok and remove_files:
case_dir = config.find_case_dir(case_number)
if case_dir.exists():
shutil.rmtree(case_dir, ignore_errors=True)
result["removed_files"] = True
return json.dumps(result, ensure_ascii=False, indent=2)