netx/netx_api/main.py
oliver edad7b24fa UME current alarms: filter by host_name instead of ne_id in UI
GET /v1/ume/alarms accepts host_name (contains on inventory); ne_id query kept for API clients. Web uses host_name field and link on host column.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-11 19:11:55 +08:00

1616 lines
66 KiB
Python

from __future__ import annotations
import csv
import json
from datetime import datetime, timezone
from io import StringIO
import time
import re
import threading
from fastapi import Depends, FastAPI, File, HTTPException, Query, UploadFile
from fastapi.responses import Response
from sqlalchemy import text as sql_text
from sqlalchemy.orm import Session
from typing import Any
import uvicorn
from .ap_client import analyze_with_oclaw, health_with_oclaw
from .config import settings
from .db import Base, SessionLocal, engine
from .importer import aggregate_alarms, import_alarm_excel, query_alarms
from .models import (
AiAnalyzeHistory,
AlarmBatch,
AlarmNorm,
ImportErrorRow,
UmeAlarmCurrent,
UmeAlarmHistory,
UmeInventoryNE,
UmeSyncJob,
)
from .models import ImportJob
from .parser_config import load_parser_config
from .ume_client import UMEClient
from .ume_sync_service import sync_alarms_current, sync_alarms_history_full, sync_inventory_full
from .ume_token_store import (
clear_shared_token,
load_shared_token,
release_refresh_lock,
save_shared_token,
try_acquire_refresh_lock,
wait_for_token_update,
)
from .schemas import (
AlarmAggregateBucket,
AlarmAggregateResponse,
AiAnalyzeHistoryItem,
AiAnalyzeHistoryResponse,
AlarmItem,
AlarmQueryResponse,
BatchSummary,
ImportJobItem,
ImportJobListResponse,
)
app = FastAPI(title="netx ops tool", version="0.1.0")
parser_cfg = load_parser_config()
_UME_CLIENT_SINGLETON = UMEClient(
token_loader=lambda: load_shared_token(),
token_saver=lambda token, exp: save_shared_token(token, exp),
token_clearer=lambda: clear_shared_token(),
lock_acquirer=lambda: try_acquire_refresh_lock(),
lock_releaser=lambda: release_refresh_lock(),
token_waiter=lambda min_exp: wait_for_token_update(min_expires_at_epoch_s=float(min_exp)),
)
_SQL_FORBIDDEN_RE = re.compile(
r"\b(insert|update|delete|drop|alter|create|truncate|grant|revoke|call|copy|vacuum|analyze)\b",
flags=re.IGNORECASE,
)
_UME_RUNTIME_TASKS: dict[str, dict[str, Any]] = {
"token_keepalive": {"task": "token_keepalive", "status": "init", "last_run_at": None, "last_error": ""},
"alarms_current_auto_sync": {"task": "alarms_current_auto_sync", "status": "init", "last_run_at": None, "last_error": ""},
}
_UME_RUNTIME_LOCK = threading.Lock()
def _set_runtime_task(task: str, *, status: str, last_run_at: datetime | None = None, last_error: str = "") -> None:
with _UME_RUNTIME_LOCK:
item = _UME_RUNTIME_TASKS.get(task, {"task": task, "status": "init", "last_run_at": None, "last_error": ""})
item["status"] = str(status or "unknown")
if last_run_at is not None:
item["last_run_at"] = last_run_at
item["last_error"] = str(last_error or "")
_UME_RUNTIME_TASKS[task] = item
def _list_runtime_tasks() -> list[dict[str, Any]]:
with _UME_RUNTIME_LOCK:
out: list[dict[str, Any]] = []
for v in _UME_RUNTIME_TASKS.values():
ts = _ensure_utc(v.get("last_run_at")) if isinstance(v.get("last_run_at"), datetime) else None
out.append(
{
"task": str(v.get("task") or ""),
"status": str(v.get("status") or "unknown"),
"last_run_at": ts.isoformat() if ts else None,
"last_error": str(v.get("last_error") or ""),
}
)
return out
def _ensure_utc(dt: datetime | None) -> datetime | None:
if dt is None:
return None
# All timestamps are stored as UTC in DB (naive). Treat naive as UTC.
if dt.tzinfo is None:
return dt.replace(tzinfo=timezone.utc)
try:
return dt.astimezone(timezone.utc)
except Exception:
return dt
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()
def _parse_time(text: str | None) -> datetime | None:
s = str(text or "").strip()
if not s:
return None
s2 = s.replace("Z", "+00:00")
try:
dt = datetime.fromisoformat(s2)
return _ensure_utc(dt)
except Exception:
return None
def _aggregate_rows(items: list[Any], key_fn) -> list[dict[str, Any]]:
bucket: dict[str, int] = {}
for item in items:
key = str(key_fn(item) or "").strip()
if not key:
key = "unknown"
bucket[key] = int(bucket.get(key, 0)) + 1
return [{"key": k, "count": v} for k, v in sorted(bucket.items(), key=lambda kv: kv[1], reverse=True)]
def _ume_client() -> UMEClient:
return _UME_CLIENT_SINGLETON
def _ume_error_kind(err: str) -> str:
low = str(err or "").lower()
if "401" in low or "403" in low or "password" in low or "auth" in low:
return "auth_failed"
if "timeout" in low:
return "timeout"
if "tls" in low or "certificate" in low or "ssl" in low:
return "tls_failed"
if "connect" in low or "name or service not known" in low:
return "connect_failed"
if "handshake" in low:
return "handshake_failed"
return "other"
@app.post("/v1/sql/query")
def sql_query(payload: dict[str, Any] | None = None, db: Session = Depends(get_db)) -> dict:
"""
Read-only SQL query endpoint for AI power users.
Safety constraints:
- SELECT only, single statement (no ';')
- forbid DDL/DML keywords
- enforce max rows (server-side LIMIT wrapper)
- require batch_id param and require SQL contains ':batch_id'
"""
payload = payload or {}
sql = str(payload.get("sql") or "").strip()
batch_id = str(payload.get("batch_id") or "").strip()
limit = int(payload.get("limit") or 200)
limit = max(1, min(limit, 2000))
if not sql:
raise HTTPException(status_code=400, detail="sql_required")
if ";" in sql:
raise HTTPException(status_code=400, detail="single_statement_only")
low = sql.lower().lstrip()
if not low.startswith("select"):
raise HTTPException(status_code=400, detail="select_only")
if _SQL_FORBIDDEN_RE.search(sql):
raise HTTPException(status_code=400, detail="forbidden_keyword")
if not batch_id:
raise HTTPException(status_code=400, detail="batch_id_required")
if ":batch_id" not in sql:
raise HTTPException(status_code=400, detail="batch_id_param_required(:batch_id)")
wrapped = f"select * from ({sql}) as q limit {limit}"
try:
res = db.execute(sql_text(wrapped), {"batch_id": batch_id})
cols = list(res.keys())
raw_rows = res.fetchall()
rows: list[list[Any]] = []
for r in raw_rows:
out_row: list[Any] = []
for v in list(r):
if isinstance(v, datetime):
out_row.append(((_ensure_utc(v) or v).isoformat().replace("+00:00", "Z")))
else:
out_row.append(v)
rows.append(out_row)
return {"ok": True, "columns": cols, "rows": rows, "limit": limit}
except Exception as exc:
raise HTTPException(status_code=400, detail=f"sql_failed:{str(exc)[:240]}") from exc
@app.post("/v1/sql/ume_query")
def sql_ume_query(payload: dict[str, Any] | None = None, db: Session = Depends(get_db)) -> dict:
"""
Read-only SQL query endpoint for UME current alarms/inventory.
Safety constraints:
- SELECT only, single statement (no ';')
- forbid DDL/DML keywords
- enforce max rows (server-side LIMIT wrapper)
- only allow FROM/JOIN on ume_alarms_current and ume_inventory_ne
"""
payload = payload or {}
sql = str(payload.get("sql") or "").strip()
limit = int(payload.get("limit") or 200)
limit = max(1, min(limit, 2000))
statement_timeout_ms = int(payload.get("statement_timeout_ms") or 0)
statement_timeout_ms = max(0, min(statement_timeout_ms, 30000))
if not sql:
raise HTTPException(status_code=400, detail="sql_required")
if ";" in sql:
raise HTTPException(status_code=400, detail="single_statement_only")
low = sql.lower().lstrip()
if not low.startswith("select"):
raise HTTPException(status_code=400, detail="select_only")
if _SQL_FORBIDDEN_RE.search(sql):
raise HTTPException(status_code=400, detail="forbidden_keyword")
allowed_tables = {"ume_alarms_current", "ume_inventory_ne"}
refs = re.findall(r"\b(?:from|join)\s+([a-zA-Z0-9_\"\.]+)", sql, flags=re.IGNORECASE)
for ref in refs:
normalized = str(ref).strip().strip('"')
if "." in normalized:
normalized = normalized.split(".")[-1]
if normalized.lower() not in allowed_tables:
raise HTTPException(status_code=400, detail=f"ume_table_not_allowed:{normalized}")
wrapped = f"select * from ({sql}) as q limit {limit}"
try:
if statement_timeout_ms > 0:
try:
if str(getattr(getattr(db, "bind", None), "dialect", None).name).lower().startswith("postgres"):
db.execute(sql_text("SET LOCAL statement_timeout = :ms"), {"ms": int(statement_timeout_ms)})
except Exception:
pass
res = db.execute(sql_text(wrapped))
cols = list(res.keys())
raw_rows = res.fetchall()
rows: list[list[Any]] = []
for r in raw_rows:
out_row: list[Any] = []
for v in list(r):
if isinstance(v, datetime):
out_row.append(((_ensure_utc(v) or v).isoformat().replace("+00:00", "Z")))
else:
out_row.append(v)
rows.append(out_row)
return {"ok": True, "columns": cols, "rows": rows, "limit": limit}
except Exception as exc:
raise HTTPException(status_code=400, detail=f"sql_failed:{str(exc)[:240]}") from exc
@app.on_event("startup")
def on_startup() -> None:
Base.metadata.create_all(bind=engine)
# Best-effort schema evolution for new columns (no migrations framework).
# Safe for Postgres (IF NOT EXISTS); ignored on failure.
try:
with engine.begin() as conn:
# Removed from ORM: drop legacy holder table if present (was optional nested UME data).
conn.exec_driver_sql("DROP TABLE IF EXISTS ume_inventory_equipment_holder")
conn.exec_driver_sql("ALTER TABLE alarms_norm ADD COLUMN IF NOT EXISTS relevancy VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE alarms_norm ADD COLUMN IF NOT EXISTS l3vpn_peer_ne VARCHAR(256) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE alarms_norm ADD COLUMN IF NOT EXISTS service VARCHAR(256) DEFAULT ''")
conn.exec_driver_sql(
"ALTER TABLE alarms_norm ADD COLUMN IF NOT EXISTS affected_client_service_number INTEGER DEFAULT 0"
)
conn.exec_driver_sql("ALTER TABLE alarms_norm ADD COLUMN IF NOT EXISTS intermittence_count INTEGER DEFAULT 0")
conn.exec_driver_sql("ALTER TABLE alarms_norm ADD COLUMN IF NOT EXISTS me_level VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_token_cache ADD COLUMN IF NOT EXISTS lock_owner VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_token_cache ADD COLUMN IF NOT EXISTS lock_expires_at_epoch_s INTEGER DEFAULT 0")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS device_level VARCHAR(64) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS host_name VARCHAR(256) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS location VARCHAR(512) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS ipv6_address VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql(
"ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS hardware_version VARCHAR(128) DEFAULT ''"
)
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS loopback VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql(
"ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS consistent_state VARCHAR(64) DEFAULT ''"
)
conn.exec_driver_sql(
"ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS interface_version VARCHAR(128) DEFAULT ''"
)
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS mac VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS admin_status VARCHAR(64) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS address_type VARCHAR(64) DEFAULT ''")
conn.exec_driver_sql(
"ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS connection_status VARCHAR(64) DEFAULT ''"
)
conn.exec_driver_sql(
"ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS maintain_status VARCHAR(64) DEFAULT ''"
)
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS net_mask VARCHAR(128) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS create_time VARCHAR(64) DEFAULT ''")
conn.exec_driver_sql("ALTER TABLE ume_inventory_ne ADD COLUMN IF NOT EXISTS creator VARCHAR(128) DEFAULT ''")
# Simplify alarm tables: display fields come from runtime join with inventory table.
conn.exec_driver_sql("ALTER TABLE ume_alarms_current DROP COLUMN IF EXISTS ne_name")
conn.exec_driver_sql("ALTER TABLE ume_alarms_current DROP COLUMN IF EXISTS user_label")
conn.exec_driver_sql("ALTER TABLE ume_alarms_history DROP COLUMN IF EXISTS ne_name")
conn.exec_driver_sql("ALTER TABLE ume_alarms_history DROP COLUMN IF EXISTS user_label")
conn.exec_driver_sql("COMMENT ON TABLE ume_inventory_ne IS '网元对象详细信息'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.ne_id IS '网元uuid'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.ne_name IS '资源名称'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.ne_type IS '网元类型'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.user_label IS '用户标签'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.address_type IS '管理地址类型(1:IPv4,2:IPv6)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.ip_address IS '网元IPv4地址'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.net_mask IS '管理IPv4掩码(点分十进制)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.ipv6_address IS 'IPv6地址'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.admin_status IS '管理状态(0-离线,1-在线)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.connection_status IS '连接状态(0-断链,1-正常)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.consistent_state IS '数据一致性状态(1一致,2不一致,3冲突)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.maintain_status IS '工程状态(0普通,1调测,2新建)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.vendor IS '网元提供商'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.interface_version IS '网元接口版本号'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.hardware_version IS '硬件版本'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.mac IS '设备机架MAC地址'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.loopback IS '业务环回IP(IPv4)'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.device_level IS '网元层次'")
conn.exec_driver_sql("COMMENT ON COLUMN ume_inventory_ne.host_name IS '主机名称'")
except Exception:
pass
try:
if bool(getattr(settings, "ume_keepalive_enabled", True)):
interval_s = int(getattr(settings, "ume_keepalive_interval_s", 600) or 600)
interval_s = max(30, min(interval_s, 3600))
renew_before_s = int(getattr(settings, "ume_keepalive_renew_before_s", 900) or 900)
renew_before_s = max(30, min(renew_before_s, 86400))
def _keepalive_loop() -> None:
# Best-effort keepalive: if token exists, periodically handshake to extend TTL.
while True:
try:
client = _ume_client()
st = client.token_status()
expires_in = int(st.get("expires_in_s") or 0)
if bool(st.get("has_token")) and expires_in > 0 and expires_in < renew_before_s:
client.renew_token()
_set_runtime_task("token_keepalive", status="running", last_run_at=datetime.now(timezone.utc), last_error="")
except Exception:
_set_runtime_task("token_keepalive", status="error", last_run_at=datetime.now(timezone.utc), last_error="keepalive_failed")
time.sleep(interval_s)
t = threading.Thread(target=_keepalive_loop, name="ume-token-keepalive", daemon=True)
t.start()
except Exception:
pass
try:
if bool(getattr(settings, "ume_sync_alarms_current_enabled", True)):
interval_s = int(getattr(settings, "ume_sync_alarms_current_interval_s", 300) or 300)
interval_s = max(30, min(interval_s, 86400))
def _alarms_current_sync_loop() -> None:
while True:
try:
db = SessionLocal()
try:
client = _ume_client()
sync_alarms_current(db, client, trigger_mode="schedule")
_set_runtime_task(
"alarms_current_auto_sync",
status="running",
last_run_at=datetime.now(timezone.utc),
last_error="",
)
finally:
db.close()
except Exception as exc:
_set_runtime_task(
"alarms_current_auto_sync",
status="error",
last_run_at=datetime.now(timezone.utc),
last_error=str(exc)[:240],
)
time.sleep(interval_s)
t2 = threading.Thread(target=_alarms_current_sync_loop, name="ume-alarms-current-sync", daemon=True)
t2.start()
except Exception:
pass
@app.get("/health")
def health() -> dict[str, str]:
return {"status": "ok"}
@app.get("/v1/ume/token/status")
def ume_token_status() -> dict[str, Any]:
client = _ume_client()
st = client.token_status()
return {"ok": True, **st}
@app.post("/v1/ume/token/refresh")
def ume_token_refresh() -> dict[str, Any]:
client = _ume_client()
try:
before = client.token_status()
token = client.refresh_if_needed()
after = client.token_status()
return {
"ok": True,
"token": token,
"changed": bool(before.get("token_preview") != after.get("token_preview")),
**after,
}
except Exception as exc:
msg = str(exc)[:240]
return {"ok": False, "error_kind": _ume_error_kind(msg), "error": msg}
@app.post("/v1/ume/token/disconnect")
def ume_token_disconnect() -> dict[str, Any]:
client = _ume_client()
ok = bool(client.logout_token())
st = client.token_status()
return {"ok": ok, **st}
@app.post("/v1/ume/sync")
def ume_sync(payload: dict[str, Any] | None = None, db: Session = Depends(get_db)) -> dict[str, Any]:
body = payload or {}
domains = body.get("domains")
if not isinstance(domains, list) or not domains:
domains = ["inventory", "alarms_current", "alarms_history"]
domain_set = {str(x).strip().lower() for x in domains if str(x).strip()}
trigger_mode = str(body.get("trigger_mode") or "manual").strip().lower()
if trigger_mode not in {"manual", "schedule"}:
trigger_mode = "manual"
client = _ume_client()
out: dict[str, Any] = {"ok": True, "jobs": []}
try:
if "inventory" in domain_set:
job = sync_inventory_full(db, client, trigger_mode=trigger_mode)
out["jobs"].append(
{
"domain": "inventory",
"status": job.status,
"pulled_count": int(job.pulled_count or 0),
"inserted_count": int(job.inserted_count or 0),
"updated_count": int(job.updated_count or 0),
"error_message": str(job.error_message or ""),
}
)
if "alarms" in domain_set or "alarms_current" in domain_set:
job, batch = sync_alarms_current(db, client, trigger_mode=trigger_mode)
out["jobs"].append(
{
"domain": "alarms_current",
"status": job.status,
"batch_id": str(batch.batch_id),
"pulled_count": int(job.pulled_count or 0),
"inserted_count": int(job.inserted_count or 0),
"updated_count": int(job.updated_count or 0),
"error_message": str(job.error_message or ""),
}
)
if "alarms_history" in domain_set:
job, batch = sync_alarms_history_full(db, client, trigger_mode=trigger_mode)
out["jobs"].append(
{
"domain": "alarms_history",
"status": job.status,
"batch_id": str(batch.batch_id),
"pulled_count": int(job.pulled_count or 0),
"inserted_count": int(job.inserted_count or 0),
"updated_count": int(job.updated_count or 0),
"error_message": str(job.error_message or ""),
}
)
except Exception as exc:
out["ok"] = False
out["error"] = str(exc)[:240]
return out
def _ume_sync_job_deleted_count(row: UmeSyncJob) -> int:
"""Single reconcile delete count: inventory uses deleted_inventory_ne; current alarms uses deleted_stale_current_alarms."""
raw = str(getattr(row, "details_json", "") or "").strip()
if not raw:
return 0
try:
obj = json.loads(raw)
except Exception:
return 0
if not isinstance(obj, dict):
return 0
inv = cur = 0
try:
inv = max(0, int(obj.get("deleted_inventory_ne") or 0))
except Exception:
pass
try:
cur = max(0, int(obj.get("deleted_stale_current_alarms") or 0))
except Exception:
pass
return int(inv + cur)
@app.get("/v1/ume/sync/status")
def ume_sync_status(
page: int = Query(default=1, ge=1),
page_size: int = Query(default=20, ge=1, le=200),
db: Session = Depends(get_db),
) -> dict[str, Any]:
q = db.query(UmeSyncJob)
total = int(q.count())
rows = (
q.order_by(UmeSyncJob.id.desc())
.offset((int(page) - 1) * int(page_size))
.limit(int(page_size))
.all()
)
items = []
latest_by_domain: dict[str, dict[str, Any]] = {}
for r in rows:
item = {
"id": int(r.id),
"domain": str(r.domain or ""),
"status": str(r.status or ""),
"trigger_mode": str(r.trigger_mode or ""),
"pulled_count": int(r.pulled_count or 0),
"inserted_count": int(r.inserted_count or 0),
"updated_count": int(r.updated_count or 0),
"deleted": int(_ume_sync_job_deleted_count(r)),
"error_message": str(r.error_message or ""),
"started_at": (_ensure_utc(r.started_at) or datetime.now(timezone.utc)).isoformat(),
"ended_at": (_ensure_utc(r.ended_at).isoformat() if r.ended_at else None),
}
items.append(item)
if item["domain"] and item["domain"] not in latest_by_domain:
latest_by_domain[item["domain"]] = item
return {
"total": total,
"page": page,
"page_size": page_size,
"items": items,
"latest_by_domain": latest_by_domain,
"runtime_tasks": _list_runtime_tasks(),
}
@app.get("/v1/ume/inventory/ne")
def ume_list_ne(
keyword: str | None = Query(default=None),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=50, ge=1, le=500),
db: Session = Depends(get_db),
) -> dict[str, Any]:
stmt = db.query(UmeInventoryNE)
kw = str(keyword or "").strip()
if kw:
stmt = stmt.filter(
UmeInventoryNE.ne_id.contains(kw)
| UmeInventoryNE.ne_name.contains(kw)
| UmeInventoryNE.user_label.contains(kw)
| UmeInventoryNE.ip_address.contains(kw)
| UmeInventoryNE.host_name.contains(kw)
)
total = int(stmt.count())
rows = stmt.order_by(UmeInventoryNE.ne_id.asc()).offset((page - 1) * page_size).limit(page_size).all()
items = [
{
"ne_id": str(x.ne_id or ""),
"ne_name": str(x.ne_name or ""),
"user_label": str(x.user_label or ""),
"ip_address": str(x.ip_address or ""),
"ipv6_address": str(x.ipv6_address or ""),
"ne_type": str(x.ne_type or ""),
"device_level": str(x.device_level or ""),
"host_name": str(x.host_name or ""),
"location": str(x.location or ""),
"hardware_version": str(x.hardware_version or ""),
"loopback": str(x.loopback or ""),
"consistent_state": str(x.consistent_state or ""),
"interface_version": str(x.interface_version or ""),
"mac": str(x.mac or ""),
"admin_status": str(x.admin_status or ""),
"address_type": str(x.address_type or ""),
"connection_status": str(x.connection_status or ""),
"maintain_status": str(x.maintain_status or ""),
"net_mask": str(x.net_mask or ""),
"create_time": str(x.create_time or ""),
"creator": str(x.creator or ""),
"last_seen_at": (_ensure_utc(x.last_seen_at) or datetime.now(timezone.utc)).isoformat(),
}
for x in rows
]
return {"total": total, "page": page, "page_size": page_size, "items": items}
@app.get("/v1/ume/inventory/ne/{ne_id}")
def ume_get_ne(ne_id: str, db: Session = Depends(get_db)) -> dict[str, Any]:
row = db.get(UmeInventoryNE, ne_id)
if not row:
raise HTTPException(status_code=404, detail="ume_ne_not_found")
return {
"ne_id": str(row.ne_id or ""),
"ne_name": str(row.ne_name or ""),
"user_label": str(row.user_label or ""),
"ip_address": str(row.ip_address or ""),
"ipv6_address": str(row.ipv6_address or ""),
"ne_type": str(row.ne_type or ""),
"device_level": str(row.device_level or ""),
"host_name": str(row.host_name or ""),
"location": str(row.location or ""),
"hardware_version": str(row.hardware_version or ""),
"loopback": str(row.loopback or ""),
"consistent_state": str(row.consistent_state or ""),
"interface_version": str(row.interface_version or ""),
"mac": str(row.mac or ""),
"admin_status": str(row.admin_status or ""),
"address_type": str(row.address_type or ""),
"connection_status": str(row.connection_status or ""),
"maintain_status": str(row.maintain_status or ""),
"net_mask": str(row.net_mask or ""),
"create_time": str(row.create_time or ""),
"creator": str(row.creator or ""),
"vendor": str(row.vendor or ""),
"source_type": str(row.source_type or ""),
"first_seen_at": (_ensure_utc(row.first_seen_at) or datetime.now(timezone.utc)).isoformat(),
"last_seen_at": (_ensure_utc(row.last_seen_at) or datetime.now(timezone.utc)).isoformat(),
"raw_json": str(row.raw_json or "{}"),
}
@app.get("/v1/ume/alarms")
def ume_list_alarms(
severity: str | None = Query(default=None),
is_cleared: str | None = Query(default=None),
ne_id: str | None = Query(default=None),
host_name: str | None = Query(default=None),
keyword: str | None = Query(default=None),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=50, ge=1, le=500),
db: Session = Depends(get_db),
) -> dict[str, Any]:
stmt = db.query(UmeAlarmCurrent, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmCurrent.ne_id == UmeInventoryNE.ne_id
)
if severity and str(severity).strip():
stmt = stmt.filter(UmeAlarmCurrent.perceived_severity == str(severity).strip())
if is_cleared and str(is_cleared).strip():
stmt = stmt.filter(UmeAlarmCurrent.is_cleared == str(is_cleared).strip())
if ne_id and str(ne_id).strip():
stmt = stmt.filter(UmeAlarmCurrent.ne_id == str(ne_id).strip())
hn = str(host_name or "").strip()
if hn:
stmt = stmt.filter(UmeInventoryNE.host_name.contains(hn))
kw = str(keyword or "").strip()
if kw:
stmt = stmt.filter(
UmeAlarmCurrent.alarm_key.contains(kw)
| UmeAlarmCurrent.object_name.contains(kw)
| UmeAlarmCurrent.native_probable_cause.contains(kw)
| UmeInventoryNE.ne_name.contains(kw)
| UmeInventoryNE.user_label.contains(kw)
| UmeInventoryNE.ip_address.contains(kw)
| UmeInventoryNE.host_name.contains(kw)
)
total = int(stmt.count())
rows = stmt.order_by(UmeAlarmCurrent.last_seen_at.desc()).offset((page - 1) * page_size).limit(page_size).all()
items = [
{
"alarm_key": str(alarm.alarm_key or ""),
"ne_id": str(alarm.ne_id or ""),
"ne_name": str((ne.ne_name if ne else "") or ""),
"user_label": str((ne.user_label if ne else "") or ""),
"host_name": str((ne.host_name if ne else "") or ""),
"ne_type": str((ne.ne_type if ne else "") or ""),
"object_name": str(alarm.object_name or ""),
"event_type": str(alarm.event_type or ""),
"native_probable_cause": str(alarm.native_probable_cause or ""),
"perceived_severity": str(alarm.perceived_severity or ""),
"is_cleared": str(alarm.is_cleared or ""),
"time_created": str(alarm.time_created or ""),
"last_seen_at": (_ensure_utc(alarm.last_seen_at) or datetime.now(timezone.utc)).isoformat(),
}
for alarm, ne in rows
]
return {"total": total, "page": page, "page_size": page_size, "items": items}
@app.get("/v1/ume/alarms/fields")
def ume_alarms_fields() -> dict[str, Any]:
"""List all queryable field names for UME raw alarm query."""
alarm_cols = [str(c.name) for c in UmeAlarmCurrent.__table__.columns] # type: ignore[attr-defined]
ne_cols = [str(c.name) for c in UmeInventoryNE.__table__.columns] # type: ignore[attr-defined]
selectable_fields = [f"alarm_{x}" for x in alarm_cols] + [f"ne_{x}" for x in ne_cols] + ["ne_exists"]
order_by_allowed = ["last_seen_at", "time_created", "perceived_severity", "event_type", "ne_id"]
return {
"alarm_fields": alarm_cols,
"ne_fields": ne_cols,
"selectable_fields": selectable_fields,
"order_by_allowed": order_by_allowed,
}
def _serialize_ume_alarm_raw_row(
alarm: UmeAlarmCurrent, ne: UmeInventoryNE | None, selected_fields: set[str] | None = None
) -> dict[str, Any]:
selected = selected_fields or set()
use_all = len(selected) == 0
out: dict[str, Any] = {}
for c in UmeAlarmCurrent.__table__.columns: # type: ignore[attr-defined]
name = str(c.name)
v = getattr(alarm, name, None)
key = f"alarm_{name}"
if not use_all and key not in selected:
continue
if hasattr(v, "isoformat"):
try:
if isinstance(v, datetime):
out[key] = (_ensure_utc(v) or v).isoformat()
else:
out[key] = v.isoformat()
continue
except Exception:
pass
out[key] = v
if ne is None:
if use_all or "ne_exists" in selected:
out["ne_exists"] = False
return out
if use_all or "ne_exists" in selected:
out["ne_exists"] = True
for c in UmeInventoryNE.__table__.columns: # type: ignore[attr-defined]
name = str(c.name)
v = getattr(ne, name, None)
key = f"ne_{name}"
if not use_all and key not in selected:
continue
if hasattr(v, "isoformat"):
try:
if isinstance(v, datetime):
out[key] = (_ensure_utc(v) or v).isoformat()
else:
out[key] = v.isoformat()
continue
except Exception:
pass
out[key] = v
return out
def _extract_ume_raw_group_field(alarm: UmeAlarmCurrent, ne: UmeInventoryNE | None, field: str) -> str:
key = str(field or "").strip()
if not key:
return ""
if key.startswith("alarm_"):
attr = key[len("alarm_") :]
return str(getattr(alarm, attr, "") or "")
if key.startswith("ne_"):
attr = key[len("ne_") :]
if key == "ne_exists":
return "1" if ne is not None else "0"
if ne is None:
return ""
return str(getattr(ne, attr, "") or "")
return ""
@app.get("/v1/ume/alarms/raw")
def ume_alarms_raw(
severity: str | None = Query(default=None),
is_cleared: str | None = Query(default=None),
ne_id: str | None = Query(default=None),
event_type: str | None = Query(default=None),
keyword: str | None = Query(default=None),
time_from: str | None = Query(default=None),
time_to: str | None = Query(default=None),
order_by: str = Query(default="last_seen_at"),
order: str = Query(default="desc"),
select_fields: str | None = Query(default=None, description="comma-separated alarm_*/ne_* fields"),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=50, ge=1, le=500),
db: Session = Depends(get_db),
) -> dict[str, Any]:
stmt = db.query(UmeAlarmCurrent, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmCurrent.ne_id == UmeInventoryNE.ne_id
)
if severity and str(severity).strip():
stmt = stmt.filter(UmeAlarmCurrent.perceived_severity == str(severity).strip())
if is_cleared and str(is_cleared).strip():
stmt = stmt.filter(UmeAlarmCurrent.is_cleared == str(is_cleared).strip())
if ne_id and str(ne_id).strip():
stmt = stmt.filter(UmeAlarmCurrent.ne_id == str(ne_id).strip())
if event_type and str(event_type).strip():
stmt = stmt.filter(UmeAlarmCurrent.event_type.contains(str(event_type).strip()))
kw = str(keyword or "").strip()
if kw:
stmt = stmt.filter(
UmeAlarmCurrent.alarm_key.contains(kw)
| UmeAlarmCurrent.object_name.contains(kw)
| UmeAlarmCurrent.native_probable_cause.contains(kw)
| UmeAlarmCurrent.event_type.contains(kw)
| UmeInventoryNE.ne_name.contains(kw)
| UmeInventoryNE.user_label.contains(kw)
| UmeInventoryNE.ip_address.contains(kw)
)
dt_from = _parse_time(time_from)
dt_to = _parse_time(time_to)
if dt_from:
stmt = stmt.filter(UmeAlarmCurrent.last_seen_at >= dt_from.replace(tzinfo=None))
if dt_to:
stmt = stmt.filter(UmeAlarmCurrent.last_seen_at <= dt_to.replace(tzinfo=None))
allowed_order_by = {
"last_seen_at": UmeAlarmCurrent.last_seen_at,
"time_created": UmeAlarmCurrent.time_created,
"perceived_severity": UmeAlarmCurrent.perceived_severity,
"event_type": UmeAlarmCurrent.event_type,
"ne_id": UmeAlarmCurrent.ne_id,
}
col = allowed_order_by.get(str(order_by or "").strip(), UmeAlarmCurrent.last_seen_at)
if str(order or "").strip().lower() == "asc":
stmt = stmt.order_by(col.asc())
else:
stmt = stmt.order_by(col.desc())
selected_fields: set[str] = set()
fields_meta = ume_alarms_fields()
selectable_fields = set(str(x) for x in (fields_meta.get("selectable_fields") or []))
order_by_allowed = [str(x) for x in (fields_meta.get("order_by_allowed") or [])]
if select_fields and str(select_fields).strip():
selected_fields = {x.strip() for x in str(select_fields).split(",") if x.strip()}
invalid = [x for x in selected_fields if x not in selectable_fields]
if invalid:
raise HTTPException(status_code=400, detail=f"invalid_select_fields:{','.join(sorted(invalid)[:20])}")
total = int(stmt.count())
rows = stmt.offset((int(page) - 1) * int(page_size)).limit(int(page_size)).all()
return {
"total": total,
"page": int(page),
"page_size": int(page_size),
"select_fields": sorted(selected_fields) if selected_fields else [],
"meta": {
"available_fields": sorted(selectable_fields),
"order_by_allowed": order_by_allowed,
"time_filter_field": "last_seen_at",
},
"items": [_serialize_ume_alarm_raw_row(alarm, ne, selected_fields) for alarm, ne in rows],
}
@app.get("/v1/ume/alarms/aggregate/raw")
def ume_alarms_aggregate_raw(
group_by: str = Query(default="alarm_perceived_severity"),
group_by2: str | None = Query(default=None),
severity: str | None = Query(default=None),
is_cleared: str | None = Query(default=None),
ne_id: str | None = Query(default=None),
event_type: str | None = Query(default=None),
keyword: str | None = Query(default=None),
time_from: str | None = Query(default=None),
time_to: str | None = Query(default=None),
limit: int = Query(default=200, ge=1, le=2000),
db: Session = Depends(get_db),
) -> dict[str, Any]:
fields_meta = ume_alarms_fields()
selectable_fields = set(str(x) for x in (fields_meta.get("selectable_fields") or []))
g1 = str(group_by or "").strip()
g2 = str(group_by2 or "").strip()
if g1 not in selectable_fields:
raise HTTPException(status_code=400, detail=f"invalid_group_by:{g1}")
if g2 and g2 not in selectable_fields:
raise HTTPException(status_code=400, detail=f"invalid_group_by2:{g2}")
stmt = db.query(UmeAlarmCurrent, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmCurrent.ne_id == UmeInventoryNE.ne_id
)
if severity and str(severity).strip():
stmt = stmt.filter(UmeAlarmCurrent.perceived_severity == str(severity).strip())
if is_cleared and str(is_cleared).strip():
stmt = stmt.filter(UmeAlarmCurrent.is_cleared == str(is_cleared).strip())
if ne_id and str(ne_id).strip():
stmt = stmt.filter(UmeAlarmCurrent.ne_id == str(ne_id).strip())
if event_type and str(event_type).strip():
stmt = stmt.filter(UmeAlarmCurrent.event_type.contains(str(event_type).strip()))
kw = str(keyword or "").strip()
if kw:
stmt = stmt.filter(
UmeAlarmCurrent.alarm_key.contains(kw)
| UmeAlarmCurrent.object_name.contains(kw)
| UmeAlarmCurrent.native_probable_cause.contains(kw)
| UmeAlarmCurrent.event_type.contains(kw)
| UmeInventoryNE.ne_name.contains(kw)
| UmeInventoryNE.user_label.contains(kw)
| UmeInventoryNE.ip_address.contains(kw)
)
dt_from = _parse_time(time_from)
dt_to = _parse_time(time_to)
if dt_from:
stmt = stmt.filter(UmeAlarmCurrent.last_seen_at >= dt_from.replace(tzinfo=None))
if dt_to:
stmt = stmt.filter(UmeAlarmCurrent.last_seen_at <= dt_to.replace(tzinfo=None))
rows = stmt.order_by(UmeAlarmCurrent.last_seen_at.desc()).all()
counts: dict[tuple[str, str], int] = {}
for alarm, ne in rows:
k1 = _extract_ume_raw_group_field(alarm, ne, g1)
k2 = _extract_ume_raw_group_field(alarm, ne, g2) if g2 else ""
kk = (k1, k2)
counts[kk] = int(counts.get(kk, 0)) + 1
buckets = sorted(counts.items(), key=lambda x: x[1], reverse=True)[: int(limit)]
return {
"total": len(rows),
"group_by": g1,
"group_by2": g2 or None,
"meta": {
"available_fields": sorted(selectable_fields),
"group_by_allowed": sorted(selectable_fields),
"applied_filters": {
"severity": str(severity or "").strip() or None,
"is_cleared": str(is_cleared or "").strip() or None,
"ne_id": str(ne_id or "").strip() or None,
"event_type": str(event_type or "").strip() or None,
"keyword": str(keyword or "").strip() or None,
"time_from": str(time_from or "").strip() or None,
"time_to": str(time_to or "").strip() or None,
},
"time_filter_field": "last_seen_at",
"limit": int(limit),
},
"buckets": [
{"key": k1, "key2": (k2 if g2 else None), "count": int(v)}
for (k1, k2), v in buckets
],
}
@app.get("/v1/ume/alarms/aggregate")
def ume_alarms_aggregate(db: Session = Depends(get_db)) -> dict[str, Any]:
rows = db.query(UmeAlarmCurrent, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmCurrent.ne_id == UmeInventoryNE.ne_id
).all()
by_severity = _aggregate_rows(rows, lambda x: x[0].perceived_severity)
by_ne = _aggregate_rows(rows, lambda x: (x[1].user_label if x[1] else "") or (x[1].ne_name if x[1] else "") or x[0].ne_id)
return {"total": len(rows), "by_severity": by_severity, "by_ne": by_ne}
@app.get("/v1/ume/diagnostics")
def ume_diagnostics(db: Session = Depends(get_db)) -> dict[str, Any]:
rows = db.query(UmeAlarmCurrent, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmCurrent.ne_id == UmeInventoryNE.ne_id
).all()
by_severity = _aggregate_rows(rows, lambda x: x[0].perceived_severity)
by_alarm_code = _aggregate_rows(rows, lambda x: x[0].event_type)[:10]
by_ne = _aggregate_rows(rows, lambda x: (x[1].user_label if x[1] else "") or (x[1].ne_name if x[1] else "") or x[0].ne_id)[:10]
def _protocol_bucket(text: str) -> str:
t = (text or "").upper()
if any(x in t for x in ("BGP", "OSPF", "ISIS", "LDP", "MPLS", "L3VPN", "VPN")):
return "IP/MPLS"
if any(x in t for x in ("ETH", "GE", "10GE", "25GE", "40GE", "100GE", "XGE")):
return "ETH"
if any(x in t for x in ("OTN", "ODU", "OCH", "OMS", "OSC", "DWDM", "WDM", "ROADM")):
return "OTN/光"
if any(x in t for x in ("CLOCK", "SYNC", "PTP", "1588", "BITS", "TOD")):
return "时钟"
if any(x in t for x in ("PWR", "POWER", "PSU", "BAT", "BATT")):
return "电源"
return "其他"
proto_counts: dict[str, int] = {}
for alarm, ne in rows:
blob = " | ".join(
[
str(alarm.event_type or ""),
str(alarm.native_probable_cause or ""),
str(alarm.object_name or ""),
str(ne.ne_name if ne else ""),
str(ne.user_label if ne else ""),
str(ne.ip_address if ne else ""),
]
)
bucket = _protocol_bucket(blob)
proto_counts[bucket] = int(proto_counts.get(bucket, 0)) + 1
protocol_summary = sorted(proto_counts.items(), key=lambda x: x[1], reverse=True)[:10]
return {
"source": "ume_alarms_current",
"total_alarms": len(rows),
"severity_summary": [{"key": k, "count": v} for k, v in by_severity],
"top_alarm_codes": [{"key": k, "count": v} for k, v in by_alarm_code],
"top_ne": [{"key": k, "count": v} for k, v in by_ne],
"protocol_summary": [{"key": k, "count": v} for k, v in protocol_summary],
}
@app.get("/v1/ume/alarms/history")
def ume_list_alarms_history(
severity: str | None = Query(default=None),
ne_id: str | None = Query(default=None),
keyword: str | None = Query(default=None),
time_from: str | None = Query(default=None),
time_to: str | None = Query(default=None),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=50, ge=1, le=500),
db: Session = Depends(get_db),
) -> dict[str, Any]:
stmt = db.query(UmeAlarmHistory, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmHistory.ne_id == UmeInventoryNE.ne_id
)
if severity and str(severity).strip():
stmt = stmt.filter(UmeAlarmHistory.perceived_severity == str(severity).strip())
if ne_id and str(ne_id).strip():
stmt = stmt.filter(UmeAlarmHistory.ne_id == str(ne_id).strip())
kw = str(keyword or "").strip()
if kw:
stmt = stmt.filter(
UmeAlarmHistory.alarm_key.contains(kw)
| UmeAlarmHistory.object_name.contains(kw)
| UmeAlarmHistory.native_probable_cause.contains(kw)
| UmeInventoryNE.ne_name.contains(kw)
| UmeInventoryNE.user_label.contains(kw)
| UmeInventoryNE.ip_address.contains(kw)
)
dt_from = _parse_time(time_from)
dt_to = _parse_time(time_to)
if dt_from:
stmt = stmt.filter(UmeAlarmHistory.last_seen_at >= dt_from.replace(tzinfo=None))
if dt_to:
stmt = stmt.filter(UmeAlarmHistory.last_seen_at <= dt_to.replace(tzinfo=None))
total = int(stmt.count())
rows = stmt.order_by(UmeAlarmHistory.last_seen_at.desc()).offset((page - 1) * page_size).limit(page_size).all()
items = [
{
"alarm_key": str(alarm.alarm_key or ""),
"ne_id": str(alarm.ne_id or ""),
"ne_name": str((ne.ne_name if ne else "") or ""),
"user_label": str((ne.user_label if ne else "") or ""),
"object_name": str(alarm.object_name or ""),
"event_type": str(alarm.event_type or ""),
"native_probable_cause": str(alarm.native_probable_cause or ""),
"perceived_severity": str(alarm.perceived_severity or ""),
"is_cleared": str(alarm.is_cleared or ""),
"time_created": str(alarm.time_created or ""),
"last_seen_at": (_ensure_utc(alarm.last_seen_at) or datetime.now(timezone.utc)).isoformat(),
}
for alarm, ne in rows
]
return {"total": total, "page": page, "page_size": page_size, "items": items}
@app.get("/v1/ume/alarms/history/aggregate")
def ume_alarms_history_aggregate(db: Session = Depends(get_db)) -> dict[str, Any]:
rows = db.query(UmeAlarmHistory, UmeInventoryNE).outerjoin(
UmeInventoryNE, UmeAlarmHistory.ne_id == UmeInventoryNE.ne_id
).all()
by_severity = _aggregate_rows(rows, lambda x: x[0].perceived_severity)
by_ne = _aggregate_rows(rows, lambda x: (x[1].user_label if x[1] else "") or (x[1].ne_name if x[1] else "") or x[0].ne_id)
by_date = _aggregate_rows(rows, lambda x: str(x[0].time_created or "")[:10])
return {"total": len(rows), "by_severity": by_severity, "by_ne": by_ne, "by_date": by_date}
@app.get("/v1/integrations/status")
def integrations_status(db: Session = Depends(get_db)) -> dict:
# netx api is up if this handler executes; still verify DB + oclaw bridge separately.
netx_api = {"status": "up"}
db_status: dict = {"status": "unknown"}
try:
t0 = time.monotonic()
db.execute(sql_text("select 1"))
db_status = {"status": "up", "latency_ms": int((time.monotonic() - t0) * 1000)}
except Exception as exc:
db_status = {"status": "down", "error": str(exc)[:240]}
oclaw_status: dict = {"status": "unknown"}
try:
t0 = time.monotonic()
data = health_with_oclaw()
oclaw_status = {
"status": "up",
"latency_ms": int((time.monotonic() - t0) * 1000),
"http_status": int(data.get("status_code") or 200),
"detail": data.get("data") or {},
}
except Exception as exc:
msg = str(exc)
http_status = None
kind = "unknown"
if " 401 " in msg or "401" in msg:
kind = "auth"
http_status = 401
elif " 404 " in msg or "404" in msg:
kind = "not_found"
http_status = 404
elif "timeout" in msg.lower():
kind = "timeout"
elif "connect" in msg.lower():
kind = "connect"
else:
kind = "other"
oclaw_status = {"status": "down", "error_kind": kind, "http_status": http_status, "error": msg[:240]}
return {"netx_api": netx_api, "db": db_status, "oclaw_bridge": oclaw_status}
@app.get("/")
def root() -> dict:
return {
"ok": True,
"mode": "api_only",
"message": "netx UI is served by Vite frontend only",
"frontend_url": settings.frontend_url,
"api_health": "/health",
"api_status": "/v1/integrations/status",
}
@app.post("/v1/alarms/import", response_model=BatchSummary)
async def import_alarms(file: UploadFile = File(...), db: Session = Depends(get_db)) -> BatchSummary:
filename = str(file.filename or "alarm.xlsx")
if not filename.lower().endswith((".xlsx", ".xls")):
raise HTTPException(status_code=400, detail="only_excel_supported_in_phase1")
content = await file.read()
if not content:
raise HTTPException(status_code=400, detail="empty_file")
batch = import_alarm_excel(db, filename=filename, content=content, parser=parser_cfg)
try:
job = ImportJob(
kind="alarms",
file_name=filename,
batch_id=str(batch.batch_id),
ok=1,
summary=f"success={int(batch.success_rows)} failed={int(batch.failed_rows)}",
)
db.add(job)
db.commit()
except Exception:
db.rollback()
return BatchSummary(
batch_id=str(batch.batch_id),
total_rows=int(batch.total_rows or 0),
success_rows=int(batch.success_rows or 0),
failed_rows=int(batch.failed_rows or 0),
status=str(batch.status or ""),
created_at=_ensure_utc(batch.created_at) or datetime.now(timezone.utc),
)
@app.post("/v1/logs/import")
async def import_logs(file: UploadFile = File(...)) -> dict:
# Placeholder for Phase 2: logs parsing + storage + query.
filename = str(file.filename or "logs.zip")
if not filename:
raise HTTPException(status_code=400, detail="filename_required")
raise HTTPException(status_code=501, detail="logs_import_not_implemented")
@app.get("/v1/jobs", response_model=ImportJobListResponse)
def list_jobs(limit: int = Query(default=20, ge=1, le=100), db: Session = Depends(get_db)) -> ImportJobListResponse:
rows = db.query(ImportJob).order_by(ImportJob.created_at.desc()).limit(limit).all()
items = [
ImportJobItem(
id=int(x.id),
kind=str(x.kind),
file_name=str(x.file_name or ""),
batch_id=str(x.batch_id) if x.batch_id else None,
ok=bool(int(x.ok or 0)),
summary=str(x.summary or ""),
created_at=_ensure_utc(x.created_at) or datetime.now(timezone.utc),
)
for x in rows
]
return ImportJobListResponse(items=items)
@app.get("/v1/batches")
def list_batches(limit: int = Query(default=20, ge=1, le=100), db: Session = Depends(get_db)) -> dict:
rows = db.query(AlarmBatch).order_by(AlarmBatch.created_at.desc()).limit(limit).all()
return {
"items": [
{
"batch_id": x.batch_id,
"source_file": x.source_file,
"status": x.status,
"total_rows": x.total_rows,
"success_rows": x.success_rows,
"failed_rows": x.failed_rows,
"created_at": (_ensure_utc(x.created_at) or datetime.now(timezone.utc)).isoformat(),
}
for x in rows
]
}
@app.get("/v1/batches/{batch_id}/errors.csv")
def download_batch_errors(batch_id: str, db: Session = Depends(get_db)):
rows = (
db.query(ImportErrorRow)
.filter(ImportErrorRow.batch_id == batch_id)
.order_by(ImportErrorRow.id.asc())
.all()
)
if not rows:
raise HTTPException(status_code=404, detail="batch_or_errors_not_found")
buf = StringIO()
writer = csv.writer(buf)
writer.writerow(["row_no", "reason", "raw_json"])
for r in rows:
writer.writerow([r.row_no, r.reason, r.raw_json])
return Response(
content=buf.getvalue(),
media_type="text/csv",
headers={"content-disposition": f'attachment; filename="batch_{batch_id}_errors.csv"'},
)
@app.delete("/v1/batches/{batch_id}")
def delete_batch(batch_id: str, db: Session = Depends(get_db)) -> dict:
batch = db.get(AlarmBatch, batch_id)
if not batch:
raise HTTPException(status_code=404, detail="batch_not_found")
try:
alarms_deleted = int(
db.query(AlarmNorm).filter(AlarmNorm.batch_id == batch_id).delete(synchronize_session=False)
)
errors_deleted = int(
db.query(ImportErrorRow).filter(ImportErrorRow.batch_id == batch_id).delete(synchronize_session=False)
)
jobs_deleted = int(
db.query(ImportJob).filter(ImportJob.batch_id == batch_id).delete(synchronize_session=False)
)
db.delete(batch)
db.commit()
return {
"ok": True,
"batch_id": batch_id,
"deleted": {
"batch": 1,
"alarms": alarms_deleted,
"errors": errors_deleted,
"jobs": jobs_deleted,
},
}
except Exception as exc:
db.rollback()
raise HTTPException(status_code=500, detail=f"delete_batch_failed: {exc}") from exc
@app.delete("/v1/batches")
def delete_all_batches(db: Session = Depends(get_db)) -> dict:
try:
alarms_deleted = int(db.query(AlarmNorm).delete(synchronize_session=False))
errors_deleted = int(db.query(ImportErrorRow).delete(synchronize_session=False))
jobs_deleted = int(db.query(ImportJob).delete(synchronize_session=False))
batches_deleted = int(db.query(AlarmBatch).delete(synchronize_session=False))
db.commit()
return {
"ok": True,
"deleted": {
"batches": batches_deleted,
"alarms": alarms_deleted,
"errors": errors_deleted,
"jobs": jobs_deleted,
},
}
except Exception as exc:
db.rollback()
raise HTTPException(status_code=500, detail=f"delete_all_batches_failed: {exc}") from exc
@app.get("/v1/diagnostics")
def diagnostics(
batch_id: str = Query(...),
db: Session = Depends(get_db),
) -> dict:
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)[:10]
ne_rows = aggregate_alarms(db, group_by="ne_name", batch_id=batch_id)[:10]
total = sum(count for _, count in sev_rows)
def _protocol_bucket(text: str) -> str:
t = (text or "").upper()
# IP/MPLS control plane
if any(x in t for x in ("BGP", "OSPF", "ISIS", "LDP", "MPLS", "L3VPN", "VPN")):
return "IP/MPLS"
# Ethernet / packet
if any(x in t for x in ("ETH", "GE", "10GE", "25GE", "40GE", "100GE", "XGE")):
return "ETH"
# OTN / optical
if any(x in t for x in ("OTN", "ODU", "OCH", "OMS", "OSC", "DWDM", "WDM", "ROADM")):
return "OTN/光"
# Timing / clock
if any(x in t for x in ("CLOCK", "SYNC", "PTP", "1588", "BITS", "TOD")):
return "时钟"
# Power
if any(x in t for x in ("PWR", "POWER", "PSU", "BAT", "BATT")):
return "电源"
return "其他"
proto_counts: dict[str, int] = {}
for name, desc, code, raw in (
db.query(AlarmNorm.alarm_name, AlarmNorm.description, AlarmNorm.alarm_code, AlarmNorm.raw_json)
.filter(AlarmNorm.batch_id == batch_id)
.all()
):
blob = " | ".join([str(code or ""), str(name or ""), str(desc or ""), str(raw or "")])
k = _protocol_bucket(blob)
proto_counts[k] = int(proto_counts.get(k, 0)) + 1
protocol_summary = sorted(proto_counts.items(), key=lambda x: x[1], reverse=True)[:10]
return {
"batch_id": batch_id,
"total_alarms": int(total),
"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],
"protocol_summary": [{"key": k, "count": v} for k, v in protocol_summary],
}
@app.post("/v1/ap/analyze")
def ap_analyze(payload: dict, db: Session = Depends(get_db)) -> dict:
batch_id = str(payload.get("batch_id") or "").strip()
question = str(payload.get("question") or "").strip()
if not batch_id or not question:
raise HTTPException(status_code=400, detail="batch_id_and_question_required")
diag = diagnostics(batch_id=batch_id, db=db)
analysis_request_id = str(payload.get("analysis_request_id") or "").strip()
filters_obj = payload.get("filters") if isinstance(payload.get("filters"), dict) else {}
req = {
"analysis_request_id": analysis_request_id,
"question": question,
"dataset_ref": {
"batch_id": batch_id,
"filters": filters_obj or {},
},
"context": {
"severity_summary": diag["severity_summary"],
"top_alarm_codes": diag["top_alarm_codes"],
"top_ne": diag["top_ne"],
"protocol_summary": diag.get("protocol_summary", []),
"findings": diag.get("findings", []),
},
"constraints": payload.get("constraints") or {"language": "zh-CN", "max_points": 6},
"interaction_mode": "expert",
"specialist": "ops",
}
ok = False
err = ""
oclaw_resp: dict[str, Any] | None = None
try:
oclaw_resp = analyze_with_oclaw(req)
ok = bool(oclaw_resp.get("ok")) if isinstance(oclaw_resp, dict) else False
except Exception as exc:
err = str(exc)
# Persist Q&A history (best-effort; never block response).
try:
answer = ""
if isinstance(oclaw_resp, dict):
answer = str(oclaw_resp.get("answer") or "").strip()
row = AiAnalyzeHistory(
analysis_request_id=analysis_request_id,
batch_id=batch_id,
question=question,
filters_json=json.dumps(filters_obj or {}, ensure_ascii=False),
ok=1 if ok else 0,
answer=answer,
error=err,
evidence_json=json.dumps(diag or {}, ensure_ascii=False),
created_at=datetime.utcnow(),
)
db.add(row)
db.commit()
except Exception:
db.rollback()
if not ok:
return {
"ok": False,
"error": err or "oclaw_bridge_unavailable",
"fallback_diagnostics": diag,
"batch_id": batch_id,
"question": question,
}
return {"ok": True, "batch_id": batch_id, "question": question, "diagnostics": diag, "oclaw": oclaw_resp}
@app.get("/v1/ap/history", response_model=AiAnalyzeHistoryResponse)
def ap_history(
batch_id: str | None = Query(default=None),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=20, ge=1, le=100),
db: Session = Depends(get_db),
) -> AiAnalyzeHistoryResponse:
q = db.query(AiAnalyzeHistory)
if batch_id and str(batch_id).strip():
q = q.filter(AiAnalyzeHistory.batch_id == str(batch_id).strip())
total = int(q.count())
rows = (
q.order_by(AiAnalyzeHistory.id.desc())
.offset((int(page) - 1) * int(page_size))
.limit(int(page_size))
.all()
)
items: list[AiAnalyzeHistoryItem] = []
for r in rows:
try:
filters = json.loads(str(r.filters_json or "{}"))
except Exception:
filters = {}
items.append(
AiAnalyzeHistoryItem(
id=int(r.id),
analysis_request_id=str(r.analysis_request_id or ""),
batch_id=str(r.batch_id or ""),
question=str(r.question or ""),
filters=filters if isinstance(filters, dict) else {},
ok=bool(int(r.ok or 0) == 1),
answer=str(r.answer or ""),
error=str(r.error or ""),
created_at=_ensure_utc(r.created_at) or datetime.now(timezone.utc),
)
)
return AiAnalyzeHistoryResponse(total=total, page=page, page_size=page_size, items=items)
@app.get("/v1/alarms", response_model=AlarmQueryResponse)
def list_alarms(
batch_id: str | None = Query(default=None),
alarm_code: str | None = Query(default=None),
severity: str | None = Query(default=None),
ne_name: str | None = Query(default=None),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=50, ge=1, le=200),
db: Session = Depends(get_db),
) -> AlarmQueryResponse:
total, rows = query_alarms(
db,
batch_id=batch_id,
alarm_code=alarm_code,
severity=severity,
ne_name=ne_name,
page=page,
page_size=page_size,
)
items = [
AlarmItem(
id=x.id,
batch_id=x.batch_id,
row_no=x.row_no,
alarm_time=_ensure_utc(x.alarm_time) or datetime.now(timezone.utc),
severity_norm=x.severity_norm,
severity_raw=x.severity_raw,
ne_name=x.ne_name,
alarm_code=x.alarm_code,
description=x.description,
ack_state=x.ack_state,
)
for x in rows
]
return AlarmQueryResponse(total=total, page=page, page_size=page_size, items=items)
@app.get("/v1/alarms/fields")
def alarms_fields() -> dict:
"""List all columns in alarms_norm for power querying."""
cols = []
try:
cols = [str(c.name) for c in AlarmNorm.__table__.columns] # type: ignore[attr-defined]
except Exception:
cols = []
return {"items": cols}
def _serialize_alarm_row(row: AlarmNorm) -> dict[str, Any]:
out: dict[str, Any] = {}
for c in AlarmNorm.__table__.columns: # type: ignore[attr-defined]
name = str(c.name)
v = getattr(row, name, None)
if hasattr(v, "isoformat"):
try:
if isinstance(v, datetime):
out[name] = (_ensure_utc(v) or v).isoformat()
else:
out[name] = v.isoformat() # datetime/date
continue
except Exception:
pass
out[name] = v
return out
@app.get("/v1/alarms/raw")
def alarms_raw(
batch_id: str | None = Query(default=None),
severity: str | None = Query(default=None),
alarm_code: str | None = Query(default=None),
ne_name: str | None = Query(default=None),
q: str | None = Query(default=None, description="free text contains on alarm_code/ne_name/description/service"),
order_by: str = Query(default="alarm_time"),
order: str = Query(default="desc"),
page: int = Query(default=1, ge=1),
page_size: int = Query(default=50, ge=1, le=200),
db: Session = Depends(get_db),
) -> dict:
"""
Power query: return **all columns** for alarms_norm rows.
Safety constraints:
- batch_id is required (avoid unbounded scans)
- order_by is whitelisted
- page_size capped
"""
bid = str(batch_id or "").strip()
if not bid:
raise HTTPException(status_code=400, detail="batch_id_required")
stmt = db.query(AlarmNorm).filter(AlarmNorm.batch_id == bid)
if severity and str(severity).strip():
stmt = stmt.filter(AlarmNorm.severity_norm == str(severity).strip())
if alarm_code and str(alarm_code).strip():
stmt = stmt.filter(AlarmNorm.alarm_code.contains(str(alarm_code).strip()))
if ne_name and str(ne_name).strip():
stmt = stmt.filter(AlarmNorm.ne_name.contains(str(ne_name).strip()))
if q and str(q).strip():
qw = str(q).strip()
stmt = stmt.filter(
(AlarmNorm.alarm_code.contains(qw))
| (AlarmNorm.ne_name.contains(qw))
| (AlarmNorm.description.contains(qw))
| (AlarmNorm.service.contains(qw))
)
allowed_order_by = {
"id": AlarmNorm.id,
"alarm_time": AlarmNorm.alarm_time,
"severity_norm": AlarmNorm.severity_norm,
"ne_name": AlarmNorm.ne_name,
"alarm_code": AlarmNorm.alarm_code,
}
col = allowed_order_by.get(str(order_by or "").strip(), AlarmNorm.alarm_time)
if str(order or "").strip().lower() == "asc":
stmt = stmt.order_by(col.asc())
else:
stmt = stmt.order_by(col.desc())
total = int(stmt.count())
rows = (
stmt.offset((int(page) - 1) * int(page_size))
.limit(int(page_size))
.all()
)
return {
"total": total,
"page": int(page),
"page_size": int(page_size),
"items": [_serialize_alarm_row(r) for r in rows],
}
@app.get("/v1/alarms/aggregate", response_model=AlarmAggregateResponse)
def alarms_aggregate(
group_by: str = Query(default="severity_norm"),
batch_id: str | None = Query(default=None),
db: Session = Depends(get_db),
) -> AlarmAggregateResponse:
try:
rows = aggregate_alarms(db, group_by=group_by, batch_id=batch_id)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return AlarmAggregateResponse(
group_by=group_by,
buckets=[AlarmAggregateBucket(key=k, count=v) for k, v in rows],
)
@app.get("/v1/batches/{batch_id}")
def get_batch(batch_id: str, db: Session = Depends(get_db)) -> dict:
batch = db.get(AlarmBatch, batch_id)
if not batch:
raise HTTPException(status_code=404, detail="batch_not_found")
errors = (
db.query(ImportErrorRow)
.filter(ImportErrorRow.batch_id == batch_id)
.order_by(ImportErrorRow.id.asc())
.limit(20)
.all()
)
return {
"batch": BatchSummary.model_validate(batch, from_attributes=True).model_dump(),
"errors_preview": [
{"row_no": e.row_no, "reason": e.reason, "raw_json": e.raw_json}
for e in errors
],
}
if __name__ == "__main__":
uvicorn.run("netx_api.main:app", host=settings.host, port=settings.port, reload=False)