from __future__ import annotations import json import sys from typing import Any from .db import SessionLocal from .importer import aggregate_alarms, query_alarms from .models import AlarmBatch def _ok(rid: Any, result: dict[str, Any]) -> None: sys.stdout.write(json.dumps({"jsonrpc": "2.0", "id": rid, "result": result}, ensure_ascii=False) + "\n") sys.stdout.flush() def _err(rid: Any, code: int, message: str) -> None: sys.stdout.write( json.dumps({"jsonrpc": "2.0", "id": rid, "error": {"code": code, "message": message}}, ensure_ascii=False) + "\n" ) sys.stdout.flush() def _tool_list() -> list[dict[str, Any]]: return [ { "name": "queryAlarms", "description": "Query normalized alarms with filters and pagination.", "inputSchema": { "type": "object", "properties": { "batch_id": {"type": "string"}, "alarm_code": {"type": "string"}, "severity": {"type": "string"}, "ne_name": {"type": "string"}, "page": {"type": "integer", "minimum": 1}, "page_size": {"type": "integer", "minimum": 1, "maximum": 200}, }, "additionalProperties": False, }, }, { "name": "aggregateAlarms", "description": "Aggregate alarms by severity_norm, alarm_code or ne_name.", "inputSchema": { "type": "object", "properties": { "group_by": { "type": "string", "enum": ["severity_norm", "alarm_code", "ne_name"], }, "batch_id": {"type": "string"}, }, "required": ["group_by"], "additionalProperties": False, }, }, { "name": "getImportBatch", "description": "Get imported batch summary by batch_id.", "inputSchema": { "type": "object", "properties": {"batch_id": {"type": "string"}}, "required": ["batch_id"], "additionalProperties": False, }, }, { "name": "runDiagnostics", "description": "Generate quick diagnostics summary by batch.", "inputSchema": { "type": "object", "properties": {"batch_id": {"type": "string"}}, "required": ["batch_id"], "additionalProperties": False, }, }, ] def _call_tool(name: str, args: dict[str, Any]) -> dict[str, Any]: with SessionLocal() as db: if name == "queryAlarms": total, rows = query_alarms( db, batch_id=str(args.get("batch_id") or "").strip() or None, alarm_code=str(args.get("alarm_code") or "").strip() or None, severity=str(args.get("severity") or "").strip() or None, ne_name=str(args.get("ne_name") or "").strip() or None, page=max(1, int(args.get("page") or 1)), page_size=min(200, max(1, int(args.get("page_size") or 50))), ) payload = { "total": total, "items": [ { "id": r.id, "batch_id": r.batch_id, "alarm_time": r.alarm_time.isoformat(), "severity_norm": r.severity_norm, "ne_name": r.ne_name, "alarm_code": r.alarm_code, "alarm_name": r.alarm_name, } for r in rows ], } return {"content": [{"type": "text", "text": json.dumps(payload, ensure_ascii=False)}]} if name == "aggregateAlarms": group_by = str(args.get("group_by") or "").strip() rows = aggregate_alarms( db, group_by=group_by, batch_id=str(args.get("batch_id") or "").strip() or None, ) payload = {"group_by": group_by, "buckets": [{"key": k, "count": v} for k, v in rows]} return {"content": [{"type": "text", "text": json.dumps(payload, ensure_ascii=False)}]} if name == "getImportBatch": batch_id = str(args.get("batch_id") or "").strip() batch = db.get(AlarmBatch, batch_id) if not batch: return {"content": [{"type": "text", "text": json.dumps({"error": "batch_not_found"})}], "isError": True} payload = { "batch_id": batch.batch_id, "total_rows": batch.total_rows, "success_rows": batch.success_rows, "failed_rows": batch.failed_rows, "status": batch.status, "created_at": batch.created_at.isoformat(), } return {"content": [{"type": "text", "text": json.dumps(payload, ensure_ascii=False)}]} if name == "runDiagnostics": batch_id = str(args.get("batch_id") or "").strip() sev_rows = aggregate_alarms(db, group_by="severity_norm", batch_id=batch_id) code_rows = aggregate_alarms(db, group_by="alarm_code", batch_id=batch_id)[:5] ne_rows = aggregate_alarms(db, group_by="ne_name", batch_id=batch_id)[:5] sev_map = {k: v for k, v in sev_rows} findings: list[str] = [] actions: list[str] = [] risk_level = "low" if int(sev_map.get("critical", 0)) > 0: findings.append("critical 告警存在，建议优先确认核心网元影响。") actions.append("优先处理 critical 告警，确认影响面并升级。") risk_level = "high" if int(sev_map.get("warning", 0)) > int(sev_map.get("major", 0)): findings.append("warning 占比较高，疑似阈值型告警风暴。") actions.append("检查高频 warning 告警码是否集中在单一阈值策略。") if risk_level != "high": risk_level = "medium" if not findings: findings.append("分布相对均衡，建议按 top 告警码进一步排查。") actions.append("按 top 告警码和网元继续下钻分析。") payload = { "batch_id": batch_id, "risk_level": risk_level, "severity_summary": [{"key": k, "count": v} for k, v in sev_rows], "top_alarm_codes": [{"key": k, "count": v} for k, v in code_rows], "top_ne": [{"key": k, "count": v} for k, v in ne_rows], "findings": findings, "actions": actions, } return {"content": [{"type": "text", "text": json.dumps(payload, ensure_ascii=False)}]} raise ValueError(f"unknown tool: {name}") def main() -> None: for line in sys.stdin: raw = line.strip() if not raw: continue try: req = json.loads(raw) except Exception: continue rid = req.get("id") method = str(req.get("method") or "") params = req.get("params") if isinstance(req.get("params"), dict) else {} try: if method == "initialize": _ok( rid, { "protocolVersion": "2024-11-05", "capabilities": {"tools": {}}, "serverInfo": {"name": "netx-mcp", "version": "0.1.0"}, }, ) continue if method == "notifications/initialized": continue if method == "tools/list": _ok(rid, {"tools": _tool_list()}) continue if method == "tools/call": name = str(params.get("name") or "") args = params.get("arguments") if isinstance(params.get("arguments"), dict) else {} _ok(rid, _call_tool(name, args)) continue _err(rid, -32601, f"method not found: {method}") except Exception as exc: _err(rid, -32000, str(exc)) if __name__ == "__main__": main()