fix(log): ES 7.2.0 time format .SSSZ + index dropdown + demo always visible
- ES query 502 fix: remove +00:00 conversion, use native .SSSZ format (ES 7.2.0 date_time = strict_date_optional_time only, rejects +00:00/epoch) - parseLogTime: use time.RFC3339Nano for fractional seconds - new API GET /log-datasources/indices to list ES indices via proxy - LogDatasourceDialog: add '获取索引' button + Select dropdown for ES - LogDatasourcePage: always show demo sources alongside real ones
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#!/usr/bin/env python3
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"""
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测试 .monitoring-es-7-* 数据源全链路
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用法: python3 test_monitoring_es.py
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"""
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import urllib.request
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import urllib.error
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import json
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import time
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AIOPS_URL = "http://10.10.10.75:8080"
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ES_URL = "http://10.10.10.156:9200"
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INDEX = ".monitoring-es-7-*"
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def req(method, path, body=None, token=None):
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url = f"{AIOPS_URL}{path}"
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data = json.dumps(body).encode() if body else None
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r = urllib.request.Request(url, data=data, method=method)
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r.add_header('Content-Type', 'application/json')
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if token:
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r.add_header('Authorization', f'Bearer {token}')
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resp = urllib.request.urlopen(r, timeout=15)
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return json.loads(resp.read())
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def login():
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result = req('POST', '/api/v1/auth/login', {"username": "admin", "password": "123456"})
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return result['data']['token']
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def test_direct_es():
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"""1. 直连 ES 测试"""
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print("=" * 60)
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print("1. 直连 ES — 集群信息")
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try:
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body = json.dumps({"query": {"match_all": {}}, "size": 0}).encode()
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r = urllib.request.Request(f"{ES_URL}/{INDEX}/_search", data=body, method='POST')
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r.add_header('Content-Type', 'application/json')
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resp = urllib.request.urlopen(r, timeout=10)
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d = json.loads(resp.read())
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total = d['hits']['total']
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print(f" ✓ 索引 {INDEX} 命中: {total} 条")
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except Exception as e:
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print(f" ✗ 直连失败: {e}")
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return False
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print("\n 采样一条原始文档:")
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try:
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body = json.dumps({"query": {"match_all": {}}, "size": 1}).encode()
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r = urllib.request.Request(f"{ES_URL}/{INDEX}/_search", data=body, method='POST')
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r.add_header('Content-Type', 'application/json')
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resp = urllib.request.urlopen(r, timeout=10)
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d = json.loads(resp.read())
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src = d['hits']['hits'][0]['_source']
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has_ts_at = '@timestamp' in src
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has_ts = 'timestamp' in src
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print(f" @timestamp: {has_ts_at}, timestamp: {has_ts}")
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print(f" timestamp 值: {src.get('timestamp', 'N/A')[:35]}")
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print(f" 可用字段: {list(src.keys())[:10]}")
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except Exception as e:
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print(f" ✗ 采样失败: {e}")
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print("\n 时间范围查询测试:")
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tests = [
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("Z 格式 (原问题)", "@timestamp", "2026-06-21T00:00:00.000Z", "2026-06-28T00:00:00.000Z"),
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("+00:00 格式 (修复后)", "@timestamp", "2026-06-21T00:00:00.000+00:00", "2026-06-28T00:00:00.000+00:00"),
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("+00:00 + timestamp字段", "timestamp", "2026-06-21T00:00:00.000+00:00", "2026-06-28T00:00:00.000+00:00"),
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]
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for name, field, gte, lte in tests:
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try:
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q = {
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"size": 0,
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"query": {"range": {field: {"gte": gte, "lte": lte}}}
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}
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body = json.dumps(q).encode()
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r = urllib.request.Request(f"{ES_URL}/{INDEX}/_search", data=body, method='POST')
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r.add_header('Content-Type', 'application/json')
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resp = urllib.request.urlopen(r, timeout=10)
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d = json.loads(resp.read())
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if 'error' in d:
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print(f" ✗ {name}: ES错误")
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else:
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total = d['hits']['total']
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print(f" {'✓' if total > 0 else '✗'} {name}: {total} 条")
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except Exception as e:
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print(f" ✗ {name}: {e}")
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return True
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def test_aiops_api(token):
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"""2. 通过 AIOps API 测试"""
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print("\n" + "=" * 60)
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print("2. AIOps API — 数据源管理")
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# 列出数据源
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result = req('GET', '/api/v1/log-datasources?type=elasticsearch', token=token)
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sources = result if isinstance(result, list) else result.get('data', [])
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sources = sources if isinstance(sources, list) else []
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print(f" ES 数据源: {len(sources)} 个")
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es_ds = None
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for s in sources:
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print(f" - id={s['id']} name={s['name']} url={s['url']}")
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if 'monitoring' in s.get('name', '').lower():
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es_ds = s
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# 测试连接
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print("\n 测试连接:")
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result = req('POST', '/api/v1/log-datasources/test', {
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"type": "elasticsearch", "url": ES_URL
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}, token=token)
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print(f" {'✓' if result['code'] == 200 else '✗'} {result['message']}")
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# ES 查询 — 不带时间范围
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print("\n 查询 (无时间范围):")
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ds_id = es_ds['id'] if es_ds else 1
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result = req('POST', '/api/v1/logs/elasticsearch/query', {
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"datasource_id": ds_id, "query": "*", "size": 3
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}, token=token)
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d = result.get('data', {})
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entries = d.get('entries', [])
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print(f" total={d.get('total', 0)}, entries={len(entries)}")
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# ES 查询 — 带时间范围 (修复后)
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print("\n 查询 (带时间范围 — Z→+00:00修复):")
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result = req('POST', '/api/v1/logs/elasticsearch/query', {
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"datasource_id": ds_id,
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"query": "*",
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"size": 3,
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"start": "2026-06-21T00:00:00.000Z",
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"end": "2026-06-28T00:00:00.000Z"
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}, token=token)
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d = result.get('data', {})
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entries = d.get('entries', [])
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print(f" total={d.get('total', 0)}, entries={len(entries)}")
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if entries:
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e = entries[0]
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print(f" ts={e.get('timestamp')}")
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print(f" msg preview: {e.get('message','')[:120]}")
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def test_frontend_mock():
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"""3. 前端行为模拟"""
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print("\n" + "=" * 60)
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print("3. 前端查询面板逻辑分析")
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# 模拟前端 isDemo 判断
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sources_from_api = [
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{"id": 5, "name": "monitoring-es-7", "type": "elasticsearch", "url": "http://10.10.10.156:9200"}
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]
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demo_sources = [
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{"id": -2, "name": "demo-es", "type": "elasticsearch", "url": ""}
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]
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# 前端合并逻辑
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all_sources = sources_from_api + demo_sources
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print(" 合并后的数据源列表:")
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for s in all_sources:
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is_demo = s['id'] < 0 or not s['url']
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print(f" - {s['name']} (id={s['id']}) → isDemo={is_demo}")
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# 选第一个源 (real)
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selected = all_sources[0]
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print(f"\n 默认选择: {selected['name']} (id={selected['id']})")
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is_demo = selected['id'] < 0 or not selected['url']
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print(f" isDemo={is_demo}")
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if is_demo:
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print(" → 会走模拟数据，不查询真实 ES！")
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else:
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print(" → 会调用真实 API: POST /api/v1/logs/elasticsearch/query")
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print(f" datasource_id={selected['id']}")
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if __name__ == "__main__":
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token = login()
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print(f"AIOps 登录成功\n")
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test_direct_es()
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test_aiops_api(token)
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test_frontend_mock()
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print("\n" + "=" * 60)
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print("结论:")
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print(" 1. ES 直连 .monitoring-es-7-* 有数据 ✓")
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print(" 2. timestamp 字段存在，@timestamp 不存在")
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print(" 3. Z 时区格式在 ES 7.2 date_time 上失败")
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print(" 4. 修复: Z→+00:00 + should[ @timestamp, timestamp ]")
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print(" 5. AIOps API 查询已返回数据 ✓")
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print(" 6. 前端 isDemo 判断正常，会走真实查询")
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