188 lines
6.5 KiB
Python
188 lines
6.5 KiB
Python
#!/usr/bin/env python3
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from __future__ import annotations
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import json
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import os
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import sys
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import urllib.error
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import urllib.parse
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import urllib.request
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from pathlib import Path
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from typing import Any
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PLUGIN_ROOT = Path(__file__).resolve().parents[1]
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if str(PLUGIN_ROOT) not in sys.path:
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sys.path.insert(0, str(PLUGIN_ROOT))
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from memory_gateway_plugin.output import dumps_safe, short_id, summarize_data
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USER_ID = "test_user_memory_gateway_plugin"
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AGENT_ID = "test_hermes_memory_gateway_plugin"
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WORKSPACE_ID = "test_workspace_memory_gateway_plugin"
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SESSION_ID = "test_session_memory_gateway_plugin_001"
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def _assert_test_user(user_id: str) -> None:
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if not user_id.startswith("test_user_"):
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raise ValueError("cleanup_refuses_non_test_user")
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def _gateway_url() -> str:
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return os.environ.get("MEMORY_GATEWAY_URL", "http://127.0.0.1:1934").rstrip("/")
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def _api_key() -> str:
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return os.environ.get("MEMORY_GATEWAY_API_KEY", "")
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def _request(method: str, endpoint: str, payload: dict[str, Any] | None = None) -> dict[str, Any]:
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headers = {"Content-Type": "application/json"}
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if _api_key():
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headers["X-API-Key"] = _api_key()
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body = None if payload is None else json.dumps(payload, ensure_ascii=False).encode("utf-8")
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req = urllib.request.Request(_gateway_url() + endpoint, data=body, headers=headers, method=method)
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try:
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with urllib.request.urlopen(req, timeout=15) as response:
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raw = response.read().decode("utf-8")
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return {"ok": True, "status_code": getattr(response, "status", 200), "data": json.loads(raw) if raw else {}}
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except urllib.error.HTTPError as exc:
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return {"ok": False, "status_code": exc.code, "error": str(exc.reason)[:300]}
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except Exception as exc:
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return {"ok": False, "status_code": None, "error": str(exc)[:300]}
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def _search_candidates() -> dict[str, Any]:
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return _request(
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"POST",
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"/v1/memory/search",
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{
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"query": "integration_test plugin safe_to_delete Memory Gateway plugin",
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"user_id": USER_ID,
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"agent_id": AGENT_ID,
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"workspace_id": WORKSPACE_ID,
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"session_id": SESSION_ID,
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"tags": ["integration_test"],
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"limit": 100,
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},
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)
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def _audit_candidate_ids() -> list[str]:
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result = _request("GET", "/v1/audit?limit=1000")
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if not result.get("ok"):
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return []
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ids: list[str] = []
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for row in result.get("data") or []:
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if row.get("actor_user_id") != USER_ID:
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continue
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if row.get("actor_agent_id") not in {AGENT_ID, None, ""}:
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continue
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if row.get("target_type") == "memory" and row.get("action") in {"upsert_memory", "feedback:incorrect", "feedback:duplicate", "feedback:outdated"}:
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target_id = row.get("target_id")
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if target_id and target_id not in ids:
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ids.append(target_id)
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return ids
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def _memory_from_result(item: dict[str, Any]) -> dict[str, Any] | None:
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memory = item.get("memory")
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if isinstance(memory, dict) and memory.get("id"):
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return memory
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return None
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def _is_cleanup_candidate(memory: dict[str, Any]) -> bool:
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if memory.get("user_id") != USER_ID:
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return False
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tags = set(memory.get("tags") or [])
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return bool(tags.intersection({"integration_test", "safe_to_delete", "plugin"}))
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def _delete_memory(memory_id: str) -> dict[str, Any]:
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query = urllib.parse.urlencode({"user_id": USER_ID, "agent_id": AGENT_ID, "workspace_id": WORKSPACE_ID, "session_id": SESSION_ID})
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return _request("DELETE", f"/v1/memory/{urllib.parse.quote(memory_id)}?{query}")
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def _feedback_memory(memory_id: str) -> dict[str, Any]:
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return _request(
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"POST",
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f"/v1/memory/{urllib.parse.quote(memory_id)}/feedback",
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{
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"user_id": USER_ID,
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"agent_id": AGENT_ID,
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"workspace_id": WORKSPACE_ID,
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"session_id": SESSION_ID,
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"feedback": "incorrect",
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"comment": "cleanup marker for integration test memory",
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},
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)
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def run(user_id: str = USER_ID) -> dict[str, Any]:
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_assert_test_user(user_id)
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if user_id != USER_ID:
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return {"ok": False, "error": "script_is_scoped_to_fixed_test_user", "user_id": user_id}
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search = _search_candidates()
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if not search.get("ok"):
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return {"ok": False, "search": {"ok": False, "status_code": search.get("status_code"), "error": search.get("error")}, "deleted": 0, "feedback_marked": 0, "skipped": 0}
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rows = (search.get("data") or {}).get("results") or []
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memory_ids = _audit_candidate_ids()
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deleted = 0
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feedback_marked = 0
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skipped = 0
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unable: list[dict[str, Any]] = []
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touched: list[str] = []
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for item in rows:
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memory = _memory_from_result(item)
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if not memory or not _is_cleanup_candidate(memory):
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skipped += 1
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continue
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memory_id = memory["id"]
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if memory_id not in memory_ids:
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memory_ids.append(memory_id)
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for memory_id in memory_ids:
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deletion = _delete_memory(memory_id)
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if deletion.get("ok"):
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deleted += 1
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touched.append(short_id(memory_id))
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continue
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if deletion.get("status_code") == 404:
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skipped += 1
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continue
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feedback = _feedback_memory(memory_id)
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if feedback.get("ok"):
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feedback_marked += 1
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touched.append(short_id(memory_id))
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else:
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unable.append({"memory_id": short_id(memory_id), "delete_status": deletion.get("status_code"), "feedback_status": feedback.get("status_code"), "reason": feedback.get("error") or deletion.get("error")})
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return {
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"ok": not unable,
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"search": {"ok": True, "status_code": search.get("status_code"), "data": summarize_data(search.get("data"))},
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"deleted": deleted,
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"feedback_marked": feedback_marked,
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"skipped": skipped,
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"unable_count": len(unable),
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"unable": unable,
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"touched_memory_ids": touched,
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"limitation": "search API returns local MemoryRecord rows plus OpenViking context; cleanup only deletes local MemoryRecord rows for the fixed test user.",
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}
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def main() -> int:
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try:
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result = run(os.environ.get("MEMORY_GATEWAY_CLEANUP_USER_ID", USER_ID))
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except ValueError as exc:
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result = {"ok": False, "error": str(exc), "deleted": 0, "feedback_marked": 0, "skipped": 0}
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print(dumps_safe(result))
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return 0 if result.get("ok") else 1
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if __name__ == "__main__":
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sys.exit(main())
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