feat: initialize netx ops tool repository

Set up netx as a standalone git-managed project with isolated Python dependencies, alarm ingestion/query APIs, oclaw bridge integration, and ops-focused UI enhancements including history and raw field access.

Co-authored-by: Cursor <cursoragent@cursor.com>

netx_api/schemas.py

@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+
+class BatchSummary(BaseModel):
+    batch_id: str
+    total_rows: int
+    success_rows: int
+    failed_rows: int
+    status: str
+    created_at: datetime
+
+
+class AlarmItem(BaseModel):
+    id: int
+    batch_id: str
+    row_no: int
+    alarm_time: datetime
+    severity_norm: str
+    severity_raw: str
+    ne_name: str
+    alarm_code: str
+    description: str
+    ack_state: str
+
+
+class AlarmQueryResponse(BaseModel):
+    total: int
+    page: int
+    page_size: int
+    items: list[AlarmItem]
+
+
+class AlarmAggregateBucket(BaseModel):
+    key: str
+    count: int
+
+
+class AlarmAggregateResponse(BaseModel):
+    group_by: str = Field(pattern="^(severity_norm|alarm_code|ne_name)$")
+    buckets: list[AlarmAggregateBucket]
+
+
+class ImportJobItem(BaseModel):
+    id: int
+    kind: str
+    file_name: str
+    batch_id: str | None = None
+    ok: bool
+    summary: str
+    created_at: datetime
+
+
+class ImportJobListResponse(BaseModel):
+    items: list[ImportJobItem]
+
+
+class AiAnalyzeHistoryItem(BaseModel):
+    id: int
+    analysis_request_id: str = ""
+    batch_id: str = ""
+    question: str = ""
+    filters: dict = Field(default_factory=dict)
+    ok: bool
+    answer: str = ""
+    error: str = ""
+    created_at: datetime
+
+
+class AiAnalyzeHistoryResponse(BaseModel):
+    total: int
+    page: int
+    page_size: int
+    items: list[AiAnalyzeHistoryItem]