fix: nl_describe variance awareness + timestamp formatting + AGENTS.md update
This commit is contained in:
PM-pinou
@@ -354,9 +354,17 @@ runtime\python\python.exe scripts\column_survey.py --csv "data/*.csv"
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## 近期变更 (beta-clean 分支)
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- views.py (2000+ 行单体) → `analysis/views/` 包 (12 模块)
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- tool_registry.py → `analysis/tools/` 包 (17 模块)
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- 删除 `simple_analysis/` 模块 (已移至 master 分支独立维护)
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- 工具数量从 27 升至 30 (新增 export_entities_json, diagnostic toolbox 扩展)
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- 模板目录重组: 6 个分析页面在 `analysis/`, 6 个功能页面在 `tianxuan/`
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- 新增 `analysis/distance.py` (距离计算) 和 `analysis/nl_describe.py` (自然语言描述)
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- views.py (2000+ 行单体) → `analysis/views/` 包 (13 模块)
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- tool_registry.py (3000+ 行) → `analysis/tools/` 包 (18 模块)
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- 默认聚类算法改为 AgglomerativeClustering
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- 移除实体概念，直接对原始行聚类 (entity_value = row_N)
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- cluster_detail 显示原始数据行而非实体画像
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- run_detail 新增全域 SVD 特征分析 + LLM 工作流时间线
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- 3D 地球侧栏复用 `/globe/?embed=1`（iframe + postMessage 联动）
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- UI 全面中文化
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- 非阻塞启动 (run.bat 打印 PID 后退出)
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## 待办
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- [ ] **前端 UI 验证**: 打开 `prototype_cluster_ui.html` 查看交互设计是否符合要求
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- [ ] **更新前端原型**后，将验证通过的交互逻辑合并到正式模板
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@@ -69,7 +69,7 @@ class Command(BaseCommand):
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run.save(update_fields=['total_flows'])
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from analysis.views import _run_clustering_pipeline
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_run_clustering_pipeline(
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run=run, store=store, entity_ds_id=ds_id,
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run=run, store=store, ds_id=ds_id,
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feature_columns=feature_cols,
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algorithm=algo, min_cluster_size=5,
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run_umap=True,
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+16
-6
@@ -285,6 +285,7 @@ def describe_feature(
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feature_name: str,
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value: float,
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std_dev: float | None = None,
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cluster_std: float | None = None,
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) -> str:
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"""Generate a Chinese natural-language description for a single feature.
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@@ -296,14 +297,15 @@ def describe_feature(
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The feature's mean value in the current context (cluster mean).
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std_dev : float | None
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Optional Z-score magnitude (``abs(distinguishing_score)``). When
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provided and >= 1.0, appends a deviation suffix like
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"比全局均值高2.1个标准差".
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provided and >= 1.0, appends a deviation suffix.
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cluster_std : float | None
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Optional within-cluster standard deviation. Describes how spread
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the values are within this cluster (high = scattered, low = tight).
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Returns
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-------
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str
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Natural-language description string, e.g.
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``"中等数据包 (720 bytes)，比全局均值高2.1个标准差"``.
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Natural-language description string.
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"""
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meaning = _lookup_meaning(feature_name)
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category = _resolve_category(feature_name)
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@@ -322,7 +324,6 @@ def describe_feature(
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meaning=meaning)
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break
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except Exception:
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# Fall through to next template on format errors
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continue
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if not text:
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@@ -332,6 +333,13 @@ def describe_feature(
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if std_dev is not None and std_dev >= 1.0:
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text += f"，比全局均值高{std_dev:.1f}个标准差"
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# Append within-cluster variance context
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if cluster_std is not None and cluster_std > 0:
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if cluster_std > 2.0:
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text += "（簇内离散度高）"
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elif cluster_std < 0.3:
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text += "（簇内高度集中）"
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return text
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@@ -380,11 +388,13 @@ def describe_cluster(
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name = f.get("feature_name", "")
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mean = f.get("mean")
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score = abs(f.get("distinguishing_score", 0.0))
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cstd = f.get("std")
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if mean is None or name == "":
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continue
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desc = describe_feature(name, float(mean), std_dev=score if score >= 1.0 else None)
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desc = describe_feature(name, float(mean), std_dev=score if score >= 1.0 else None,
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cluster_std=float(cstd) if cstd is not None else None)
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sentences.append(desc)
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if not sentences:
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@@ -4,6 +4,7 @@ import logging
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import traceback
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from django.shortcuts import render
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from django.views.decorators.clickjacking import xframe_options_exempt
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from analysis.constants import GLOBE_MAX_ROWS
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from analysis.models import AnalysisRun
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@@ -112,6 +113,10 @@ def _extract_flows_from_df(df, MAX_ROWS):
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return flows
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from django.views.decorators.clickjacking import xframe_options_exempt
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@xframe_options_exempt
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def globe_view(request):
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from analysis.geoip import lookup as geo_lookup
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from analysis.data_loader import load_csv_directory, load_from_db
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@@ -45,5 +45,639 @@
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"lon": 77.0,
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"city": "",
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"country": "印度"
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},
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"anon, hosting": null,
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"-108.418446": null,
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"lat": 34.053,
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"city": "洛杉矶",
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"country": "美国"
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"city": "",
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"country": "加拿大"
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"country": "德国"
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"country": "美国"
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},
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"lat": 45.4763,
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"lon": -122.6408,
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"city": "Portland",
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"country": "美国"
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"city": "",
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"country": "美国"
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"country": "中国"
|
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},
|
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"60.737607": {
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"lat": 45.75,
|
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"lon": 126.65,
|
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"city": "哈尔滨",
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"country": "中国"
|
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},
|
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"12.851572": {
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"lat": 38.0,
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|
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|
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"city": "",
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"country": "美国"
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"-76.937967": null,
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"91.194896": {
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"lat": 49.5333,
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"lon": 11.8,
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"city": "哈恩巴赫",
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"country": "德国"
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},
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"132.327773": {
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"country": "美国"
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},
|
||||
"-112.197533": null,
|
||||
"155.022955": null,
|
||||
"162.854691": {
|
||||
"lat": 51.5,
|
||||
"lon": -0.13,
|
||||
"city": "",
|
||||
"country": "英国"
|
||||
},
|
||||
"-52.303734": null,
|
||||
"-37.91953": null,
|
||||
"144.662392": {
|
||||
"lat": 37.3762,
|
||||
"lon": -122.1826,
|
||||
"city": "Palo Alto",
|
||||
"country": "美国"
|
||||
},
|
||||
"17.315107": {
|
||||
"lat": 37.323,
|
||||
"lon": -122.0322,
|
||||
"city": "Cupertino",
|
||||
"country": "美国"
|
||||
},
|
||||
"97.359727": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"-37.814213": null,
|
||||
"-57.066252": null,
|
||||
"170.670964": {
|
||||
"lat": 47.6689,
|
||||
"lon": -117.4369,
|
||||
"city": "斯波坎",
|
||||
"country": "美国"
|
||||
},
|
||||
"19.237916": {
|
||||
"lat": 42.3223,
|
||||
"lon": -83.1763,
|
||||
"city": "迪尔伯恩",
|
||||
"country": "美国"
|
||||
},
|
||||
"-77.426219": null,
|
||||
"35.273579": {
|
||||
"lat": 42.2776,
|
||||
"lon": -83.7409,
|
||||
"city": "安娜堡",
|
||||
"country": "美国"
|
||||
},
|
||||
"-29.56673": null,
|
||||
"-173.438083": null,
|
||||
"-164.691055": null,
|
||||
"-140.463216": null,
|
||||
"-168.663276": null,
|
||||
"-138.543279": null,
|
||||
"-47.142859": null,
|
||||
"-102.389184": null,
|
||||
"24.754033": {
|
||||
"lat": 32.981,
|
||||
"lon": -80.0326,
|
||||
"city": "Goose Creek",
|
||||
"country": "美国"
|
||||
},
|
||||
"-109.476174": null,
|
||||
"92.836244": {
|
||||
"lat": 51.5,
|
||||
"lon": -0.13,
|
||||
"city": "",
|
||||
"country": "英国"
|
||||
},
|
||||
"2.089979": null,
|
||||
"82.41569": {
|
||||
"lat": 51.6578,
|
||||
"lon": -0.3954,
|
||||
"city": "沃特福德",
|
||||
"country": "英国"
|
||||
},
|
||||
"-117.765392": null,
|
||||
"-112.753899": null,
|
||||
"-147.563834": null,
|
||||
"-27.4301": null,
|
||||
"66.656057": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"-52.329152": null,
|
||||
"16.783619": {
|
||||
"lat": 37.3762,
|
||||
"lon": -122.1826,
|
||||
"city": "Palo Alto",
|
||||
"country": "美国"
|
||||
},
|
||||
"-160.668335": null,
|
||||
"-155.782242": null,
|
||||
"-43.415128": null,
|
||||
"-151.682652": null,
|
||||
"33.713437": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"151.170164": {
|
||||
"lat": 42.8333,
|
||||
"lon": 12.8333,
|
||||
"city": "",
|
||||
"country": "意大利"
|
||||
},
|
||||
"-2.437103": null,
|
||||
"17.096003": null,
|
||||
"4.372196": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"12.775114": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"-26.847855": null,
|
||||
"-2.96053": null,
|
||||
"-136.421502": null,
|
||||
"156.152711": {
|
||||
"lat": 46.2857,
|
||||
"lon": -119.2845,
|
||||
"city": "里奇兰",
|
||||
"country": "美国"
|
||||
},
|
||||
"-121.186972": null,
|
||||
"-126.924167": null,
|
||||
"-101.388131": null,
|
||||
"-101.03754": null,
|
||||
"77.828572": {
|
||||
"lat": 52.5167,
|
||||
"lon": 13.4,
|
||||
"city": "柏林",
|
||||
"country": "德国"
|
||||
},
|
||||
"-34.813058": null,
|
||||
"123.011334": {
|
||||
"lat": 23.7,
|
||||
"lon": 90.375,
|
||||
"city": "",
|
||||
"country": "孟加拉"
|
||||
},
|
||||
"11.265017": {
|
||||
"lat": 39.9612,
|
||||
"lon": -82.9988,
|
||||
"city": "哥伦布",
|
||||
"country": "美国"
|
||||
},
|
||||
"11.202764": {
|
||||
"lat": 39.9612,
|
||||
"lon": -82.9988,
|
||||
"city": "哥伦布",
|
||||
"country": "美国"
|
||||
},
|
||||
"70.262109": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"-70.027646": null,
|
||||
"26.990087": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"147.506751": {
|
||||
"lat": 47.5,
|
||||
"lon": 19.0833,
|
||||
"city": "布达佩斯",
|
||||
"country": "匈牙利"
|
||||
},
|
||||
"-107.81862": null,
|
||||
"141.75262": {
|
||||
"lat": 51.0,
|
||||
"lon": 9.0,
|
||||
"city": "",
|
||||
"country": "德国"
|
||||
},
|
||||
"30.674809": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
},
|
||||
"120.327798": {
|
||||
"lat": 39.8897,
|
||||
"lon": 115.275,
|
||||
"city": "Hebei",
|
||||
"country": "中国"
|
||||
},
|
||||
"-158.088393": null,
|
||||
"-121.790773": null,
|
||||
"77.908193": {
|
||||
"lat": 50.3167,
|
||||
"lon": 7.8,
|
||||
"city": "Nassau",
|
||||
"country": "德国"
|
||||
},
|
||||
"57.252522": {
|
||||
"lat": 47.0,
|
||||
"lon": 8.0,
|
||||
"city": "",
|
||||
"country": ""
|
||||
},
|
||||
"-15.466886": null,
|
||||
"-136.800708": null,
|
||||
"-139.560022": null,
|
||||
"155.309838": {
|
||||
"lat": 59.3294,
|
||||
"lon": 18.0686,
|
||||
"city": "",
|
||||
"country": "瑞典"
|
||||
},
|
||||
"158.175545": {
|
||||
"lat": 31.5273,
|
||||
"lon": -110.3607,
|
||||
"city": "谢拉维斯塔",
|
||||
"country": "美国"
|
||||
},
|
||||
"-38.283752": null,
|
||||
"146.597747": {
|
||||
"lat": 42.3755,
|
||||
"lon": -83.0772,
|
||||
"city": "底特律",
|
||||
"country": "美国"
|
||||
},
|
||||
"-146.199812": null,
|
||||
"-60.696207": null,
|
||||
"141.547786": {
|
||||
"lat": 35.8869,
|
||||
"lon": 14.4025,
|
||||
"city": "Mdina",
|
||||
"country": "马耳他"
|
||||
},
|
||||
"10.542121": null,
|
||||
"169.586656": {
|
||||
"lat": 45.0059,
|
||||
"lon": -93.1059,
|
||||
"city": "圣保罗",
|
||||
"country": "美国"
|
||||
},
|
||||
"53.588162": {
|
||||
"lat": 51.0,
|
||||
"lon": 9.0,
|
||||
"city": "",
|
||||
"country": "德国"
|
||||
},
|
||||
"-48.221466": null,
|
||||
"-104.847562": null,
|
||||
"-97.617615": null,
|
||||
"145.767865": {
|
||||
"lat": 51.8425,
|
||||
"lon": 5.8528,
|
||||
"city": "奈梅亨",
|
||||
"country": "荷兰"
|
||||
},
|
||||
"-173.124365": null,
|
||||
"-158.431061": null,
|
||||
"-132.023148": null,
|
||||
"-171.873785": null,
|
||||
"-23.369992": null,
|
||||
"53.281077": {
|
||||
"lat": 51.0,
|
||||
"lon": 9.0,
|
||||
"city": "",
|
||||
"country": "德国"
|
||||
},
|
||||
"28.294006": {
|
||||
"lat": 38.0,
|
||||
"lon": -97.0,
|
||||
"city": "",
|
||||
"country": "美国"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,356 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-hans">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1.0">
|
||||
<title>原型 — 聚类UI交互验证</title>
|
||||
<style>
|
||||
* { margin:0; padding:0; box-sizing:border-box; }
|
||||
body { font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif; background:#f5f7fa; color:#1a1a2e; }
|
||||
.header { background:#1a1a2e; color:#fff; padding:0.8rem 1.5rem; display:flex; justify-content:space-between; align-items:center; }
|
||||
.header h1 { font-size:1.1rem; }
|
||||
.header span { font-size:0.8rem; color:#aaa; }
|
||||
|
||||
.main-layout { display:flex; position:relative; transition:all 0.3s; min-height:calc(100vh - 48px); }
|
||||
.left-panel { flex:1; min-width:0; transition:flex 0.3s; padding:1rem; overflow-y:auto; }
|
||||
.left-panel.globe-open { flex:0 0 55%; }
|
||||
.right-panel { flex:0 0 0; overflow:hidden; transition:flex 0.3s; }
|
||||
.right-panel.globe-open { flex:0 0 45%; }
|
||||
|
||||
/* toggle handle */
|
||||
.toggle-handle { position:absolute; z-index:10; top:50%; width:20px; height:44px; background:#1a1a2e; color:#fff; border:none; border-radius:4px 0 0 4px; cursor:pointer; display:flex; align-items:center; justify-content:center; font-size:12px; transition:left 0.3s ease; }
|
||||
.toggle-handle:hover { background:#4361ee; }
|
||||
|
||||
/* scatter */
|
||||
.scatter-wrap { position:relative; background:#fff; border-radius:8px; padding:0.75rem; margin-bottom:1rem; box-shadow:0 1px 3px rgba(0,0,0,0.1); }
|
||||
.scatter-wrap h3 { font-size:0.95rem; margin-bottom:0.5rem; }
|
||||
.scatter-wrap canvas { width:100%; height:360px; display:block; cursor:crosshair; border-radius:4px; background:#fafbfc; }
|
||||
|
||||
/* pills */
|
||||
.pill-row { display:flex; flex-wrap:wrap; gap:4px; margin-bottom:0.75rem; }
|
||||
.pill { display:inline-flex; align-items:center; gap:3px; padding:2px 10px; border-radius:12px; font-size:0.75rem; cursor:pointer; border:2px solid transparent; transition:all 0.15s; color:#fff; white-space:nowrap; }
|
||||
.pill.all { background:#e8e8e8; color:#333; }
|
||||
.pill.active { border-color:#333; font-weight:700; }
|
||||
|
||||
/* cluster cards */
|
||||
.card-grid { display:grid; grid-template-columns:1fr 1fr; gap:0.75rem; margin-bottom:1rem; }
|
||||
.cluster-card { background:#fff; border:1px solid #e0e0e0; border-radius:8px; padding:0.8rem; cursor:pointer; transition:box-shadow 0.15s; }
|
||||
.cluster-card:hover { box-shadow:0 2px 8px rgba(0,0,0,0.1); }
|
||||
.cluster-card.selected { border-color:#4361ee; box-shadow:0 0 0 2px rgba(67,97,238,0.2); }
|
||||
.cluster-card .label { font-weight:700; font-size:1rem; }
|
||||
.cluster-card .meta { font-size:0.78rem; color:#666; margin-top:0.2rem; }
|
||||
.cluster-card .desc { font-size:0.8rem; color:#333; margin-top:0.4rem; padding:0.4rem; background:#f8f9fa; border-left:3px solid #4361ee; border-radius:0 4px 4px 0; line-height:1.5; }
|
||||
|
||||
/* detail panel */
|
||||
.detail-panel { position:fixed; bottom:0; left:0; right:0; z-index:100; transform:translateY(100%); transition:transform 0.35s cubic-bezier(.4,0,.2,1); }
|
||||
.detail-panel.open { transform:translateY(0); }
|
||||
.detail-body { background:#fff; border-radius:16px 16px 0 0; box-shadow:0 -4px 24px rgba(0,0,0,0.15); max-height:40vh; overflow-y:auto; padding:0.5rem 1.5rem 1.5rem; }
|
||||
.detail-handle { width:36px; height:4px; background:#ccc; border-radius:2px; margin:8px auto; cursor:pointer; }
|
||||
.detail-close { float:right; cursor:pointer; font-size:1.3rem; color:#999; line-height:1; border:none; background:none; }
|
||||
.detail-close:hover { color:#333; }
|
||||
.detail-body h3 { font-size:1rem; margin-bottom:0.3rem; }
|
||||
.detail-body p { font-size:0.85rem; color:#555; margin:0.2rem 0; }
|
||||
.detail-body table { width:100%; border-collapse:collapse; font-size:0.8rem; margin-top:0.5rem; }
|
||||
.detail-body th { background:#f5f5f5; padding:0.25rem 0.4rem; text-align:left; font-weight:600; border-bottom:2px solid #ddd; }
|
||||
.detail-body td { padding:0.2rem 0.4rem; border-bottom:1px solid #eee; }
|
||||
.detail-body td code { font-size:0.72rem; }
|
||||
|
||||
/* 3D地球容器 */
|
||||
#globeContainer { width:100%; height:calc(100vh - 48px); background:#0a0a1a; position:relative; }
|
||||
#globeContainer canvas { display:block; }
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<div class="header">
|
||||
<h1>聚类概览 — 运行 #9</h1>
|
||||
<span>200 条流 · 3 个簇 · 12 个噪声点</span>
|
||||
</div>
|
||||
|
||||
<div class="main-layout" id="mainLayout">
|
||||
<!-- Left: cluster content -->
|
||||
<div class="left-panel" id="leftPanel">
|
||||
<!-- Scatter -->
|
||||
<div class="scatter-wrap">
|
||||
<h3>UMAP 嵌入 <span style="font-weight:400;font-size:0.8rem;color:#888;" id="ptCount">加载中...</span></h3>
|
||||
<canvas id="scatterChart"></canvas>
|
||||
</div>
|
||||
|
||||
<!-- Cluster pills -->
|
||||
<div class="pill-row" id="pillRow">
|
||||
<span class="pill all active" data-lbl="all" onclick="clearSel()">全部</span>
|
||||
</div>
|
||||
|
||||
<!-- Cluster cards -->
|
||||
<div class="card-grid" id="cardGrid"></div>
|
||||
</div>
|
||||
|
||||
<!-- Right: 3D Globe -->
|
||||
<div class="right-panel" id="rightPanel">
|
||||
<div id="globeContainer"></div>
|
||||
</div>
|
||||
|
||||
<!-- Toggle handle -->
|
||||
<button class="toggle-handle" id="globeHandle" onclick="toggleGlobe()">◀</button>
|
||||
</div>
|
||||
|
||||
<!-- Bottom detail panel -->
|
||||
<div class="detail-panel" id="detailPanel">
|
||||
<div class="detail-body" id="detailBody">
|
||||
<button class="detail-close" onclick="closeDetail()">✕</button>
|
||||
<div class="detail-handle" onclick="closeDetail()"></div>
|
||||
<div id="detailContent"><p style="color:#999;">选择一个簇或数据点查看详情</p></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script src="static/tianxuan/three.min.js"></script>
|
||||
<script>
|
||||
// ═══════════════════════════════════════════════
|
||||
// MOCK DATA
|
||||
// ═══════════════════════════════════════════════
|
||||
const MOCK_CLUSTERS = [
|
||||
{ label:0, size:78, prop:0.39, silh:0.72, desc:'低延迟 (23ms)，比全局均值高3.1σ；大数据包 (1520 bytes)，高2.3σ；系统端口 (443)' },
|
||||
{ label:1, size:65, prop:0.33, silh:0.68, desc:'高TLS1.3比例 (92%)，比均值高1.8σ；短会话 (12s)，低1.5σ；ECDHE曲线 X25519' },
|
||||
{ label:2, size:45, prop:0.23, silh:0.54, desc:'高连接频率 (85次/min)，比均值高4.2σ；非标准端口 (8080/8443)，目标多域名' },
|
||||
{ label:-1, size:12, prop:0.06, silh:null, desc:'噪声点 — 异常TLS指纹、零散目标、低流量' },
|
||||
];
|
||||
|
||||
const COLORS = ['#4361ee','#f72585','#7209b7','#4cc9f0','#f8961e','#43aa8b','#f94144','#577590','#e9c46a','#9b5de5'];
|
||||
function colorFor(lbl) { return lbl===-1?'rgba(150,150,150,0.7)':COLORS[Math.abs(lbl)%COLORS.length]; }
|
||||
|
||||
// Generate mock UMAP scatter data (200 points)
|
||||
const SCATTER = [];
|
||||
const RNG = (seed) => { let s=seed%2147483647; return ()=> { s=s*16807%2147483647; return (s-1)/2147483646; }; };
|
||||
const rng = RNG(42);
|
||||
const centers = {0:[2,1.5],1:[-1.8,0.5],2:[0.5,-2], '-1':[3.5,-1.5]};
|
||||
const spreads = {0:[0.6,0.5],1:[0.7,0.6],2:[0.5,0.7], '-1':[1.2,0.8]};
|
||||
for (const c of MOCK_CLUSTERS) {
|
||||
for (let i=0;i<c.size;i++) {
|
||||
const cx=centers[c.label][0], cy=centers[c.label][1];
|
||||
const sx=spreads[c.label][0], sy=spreads[c.label][1];
|
||||
SCATTER.push({
|
||||
x:cx+(rng()-0.5)*2*sx, y:cy+(rng()-0.5)*2*sy,
|
||||
label:c.label, entity:`模拟主机 ${1000+i}`
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// ═══════════════════════════════════════════════
|
||||
// SCATTER 2D CANVAS
|
||||
// ═══════════════════════════════════════════════
|
||||
let selCluster = null, selPoint = null;
|
||||
let globeOpen = false;
|
||||
|
||||
function drawScatter(highlight) {
|
||||
const c=document.getElementById('scatterChart');
|
||||
if(!c)return;
|
||||
const W=c.parentElement.clientWidth||700, H=360;
|
||||
c.width=W*2; c.height=H*2; c.style.width=W+'px'; c.style.height=H+'px';
|
||||
const ctx=c.getContext('2d'); ctx.scale(2,2);
|
||||
const pad={top:25,bottom:30,left:50,right:20};
|
||||
const pw=W-pad.left-pad.right, ph=H-pad.top-pad.bottom;
|
||||
const xs=SCATTER.map(d=>d.x), ys=SCATTER.map(d=>d.y);
|
||||
const xMin=Math.min(...xs), xMax=Math.max(...xs), yMin=Math.min(...ys), yMax=Math.max(...ys);
|
||||
const xR=xMax-xMin||1, yR=yMax-yMin||1;
|
||||
const toX=v=>pad.left+(v-xMin)/xR*pw, toY=v=>pad.top+ph-(v-yMin)/yR*ph;
|
||||
|
||||
ctx.clearRect(0,0,W,H);
|
||||
// grid
|
||||
ctx.strokeStyle='#eee'; ctx.lineWidth=1;
|
||||
for(let i=0;i<=5;i++){ctx.beginPath();ctx.moveTo(pad.left,pad.top+i*ph/5);ctx.lineTo(W-pad.right,pad.top+i*ph/5);ctx.stroke();}
|
||||
// points
|
||||
SCATTER.forEach(d=>{
|
||||
const cx=toX(d.x),cy=toY(d.y);
|
||||
let radius=3,color=colorFor(d.label);
|
||||
if(highlight!==null&&highlight!==undefined){
|
||||
if(d.label===highlight){color=colorFor(d.label);radius=5;}
|
||||
else{color='rgba(200,200,200,0.15)';radius=2;}
|
||||
}
|
||||
ctx.beginPath();ctx.arc(cx,cy,radius,0,Math.PI*2);ctx.fillStyle=color;ctx.fill();
|
||||
});
|
||||
// labels
|
||||
ctx.fillStyle='#999'; ctx.font='11px sans-serif'; ctx.textAlign='center';
|
||||
ctx.fillText('UMAP-1',W/2,H-3);
|
||||
ctx.save();ctx.translate(14,H/2);ctx.rotate(-Math.PI/2);ctx.fillText('UMAP-2',0,0);ctx.restore();
|
||||
|
||||
c.onclick=function(e){
|
||||
const r=c.getBoundingClientRect();
|
||||
const mx=e.clientX-r.left, my=e.clientY-r.top;
|
||||
const sx=mx/W*pw, sy=my/H*ph;
|
||||
let best=null,bestD=10;
|
||||
for(const d of SCATTER){
|
||||
const dx=toX(d.x)-mx, dy=toY(d.y)-my;
|
||||
const dist=Math.sqrt(dx*dx+dy*dy);
|
||||
if(dist<bestD){bestD=dist;best=d;}
|
||||
}
|
||||
if(best){selCluster=MOCK_CLUSTERS.find(c=>c.label===best.label);selPoint=best;showDetail(selCluster,selPoint);}
|
||||
};
|
||||
document.getElementById('ptCount').textContent=SCATTER.length+' 个点';
|
||||
}
|
||||
|
||||
// ═══════════════════════════════════════════════
|
||||
// CLUSTER SELECTION
|
||||
// ═══════════════════════════════════════════════
|
||||
function selectCluster(lbl){
|
||||
selCluster=MOCK_CLUSTERS.find(c=>c.label===lbl);
|
||||
selPoint=null;
|
||||
drawScatter(lbl);
|
||||
document.querySelectorAll('.pill').forEach(p=>p.classList.toggle('active',parseInt(p.dataset.lbl)===lbl));
|
||||
document.querySelectorAll('.cluster-card').forEach(p=>p.classList.toggle('selected',parseInt(p.dataset.label)===lbl));
|
||||
if(globeOpen)globeFilter(lbl);
|
||||
showDetail(selCluster,null);
|
||||
}
|
||||
function clearSel(){
|
||||
selCluster=null;selPoint=null;
|
||||
drawScatter(null);
|
||||
document.querySelectorAll('.pill,.cluster-card').forEach(p=>p.classList.remove('active','selected'));
|
||||
closeDetail();
|
||||
if(globeOpen)globeFilter(null);
|
||||
}
|
||||
|
||||
// ═══════════════════════════════════════════════
|
||||
// DETAIL PANEL
|
||||
// ═══════════════════════════════════════════════
|
||||
function showDetail(cluster,point){
|
||||
const dc=document.getElementById('detailContent');
|
||||
let html='';
|
||||
if(point){
|
||||
html+='<h3>数据点详情</h3><table><thead><tr><th>字段</th><th>值</th></tr></thead><tbody>'+
|
||||
'<tr><td>标识</td><td><code>'+point.entity+'</code></td></tr>'+
|
||||
'<tr><td>所属簇</td><td>#'+(point.label===-1?'噪声':point.label)+'</td></tr>'+
|
||||
'<tr><td>UMAP-x</td><td>'+point.x.toFixed(4)+'</td></tr>'+
|
||||
'<tr><td>UMAP-y</td><td>'+point.y.toFixed(4)+'</td></tr>'+
|
||||
'</tbody></table>';
|
||||
}else if(cluster){
|
||||
html+='<h3>簇 #'+(cluster.label===-1?'噪声':cluster.label)+'</h3>'+
|
||||
'<p>大小: '+cluster.size+' | 占比: '+(cluster.prop*100).toFixed(0)+'%'+
|
||||
(cluster.silh!==null?' | 轮廓系数: '+cluster.silh.toFixed(4):'')+'</p>'+
|
||||
'<p style="background:#f8f9fa;border-left:3px solid #4361ee;padding:0.5rem;margin:0.5rem 0;border-radius:0 4px 4px 0;font-size:0.85rem;line-height:1.6;">'+cluster.desc+'</p>'+
|
||||
'<table><thead><tr><th>特征</th><th>区分度</th><th>均值</th><th>标准差</th></tr></thead><tbody>'+
|
||||
'<tr><td>延迟 (4dur)</td><td style="color:#2e7d32;">+3.2</td><td>23ms</td><td>5.1</td></tr>'+
|
||||
'<tr><td>数据包大小 (8ppk)</td><td style="color:#2e7d32;">+2.3</td><td>1520B</td><td>128</td></tr>'+
|
||||
'<tr><td>TLS 版本 (0ver)</td><td style="color:#c62828;">-1.8</td><td>1.2</td><td>0.3</td></tr>'+
|
||||
'</tbody></table>';
|
||||
}
|
||||
dc.innerHTML=html;
|
||||
document.getElementById('detailPanel').classList.add('open');
|
||||
}
|
||||
function closeDetail(){document.getElementById('detailPanel').classList.remove('open');}
|
||||
|
||||
// ═══════════════════════════════════════════════
|
||||
// GLOBE SIDEBAR
|
||||
// ═══════════════════════════════════════════════
|
||||
function toggleGlobe(){
|
||||
globeOpen=!globeOpen;
|
||||
document.getElementById('leftPanel').classList.toggle('globe-open',globeOpen);
|
||||
document.getElementById('rightPanel').classList.toggle('globe-open',globeOpen);
|
||||
const h=document.getElementById('globeHandle');
|
||||
h.innerHTML=globeOpen?'▶':'◀';
|
||||
h.style.left=globeOpen?'calc(55% - 20px)':'calc(100% - 20px)';
|
||||
if(globeOpen&&!window._globeInit)initGlobe3D();
|
||||
}
|
||||
|
||||
function globeFilter(label){
|
||||
if(!window._arcMeshes)return;
|
||||
window._arcMeshes.forEach(m=>{
|
||||
if(label===null){m.material.opacity=0.5;m.material.color.setHex(parseInt(m.userData.color,16));}
|
||||
else{m.material.opacity=0.06;m.material.color.setHex(0x666666);}
|
||||
});
|
||||
}
|
||||
|
||||
// ═══════════════════════════════════════════════
|
||||
// 3D GLOBE (Three.js, simplified)
|
||||
// ═══════════════════════════════════════════════
|
||||
function initGlobe3D(){
|
||||
if(window._globeInit)return;
|
||||
const cont=document.getElementById('globeContainer');
|
||||
if(!cont)return;
|
||||
const W=cont.clientWidth||450, H=cont.clientHeight||500;
|
||||
|
||||
const scene=new THREE.Scene();scene.background=new THREE.Color(0x0a0a1a);
|
||||
const cam=new THREE.PerspectiveCamera(45,W/H,0.1,100);cam.position.set(0,0,6);
|
||||
const ren=new THREE.WebGLRenderer({antialias:true});ren.setSize(W,H);ren.setPixelRatio(Math.min(window.devicePixelRatio,2));
|
||||
cont.appendChild(ren.domElement);
|
||||
|
||||
// earth
|
||||
const earth=new THREE.Mesh(new THREE.SphereGeometry(2,48,48),new THREE.MeshPhongMaterial({color:0x1a3a5c,emissive:0x0a1a2a}));
|
||||
scene.add(earth);
|
||||
// glow
|
||||
scene.add(new THREE.Mesh(new THREE.SphereGeometry(2.06,48,48),new THREE.MeshBasicMaterial({color:0x224488,transparent:true,opacity:0.12})));
|
||||
// lights
|
||||
scene.add(new THREE.AmbientLight(0x222244));
|
||||
const dl=new THREE.DirectionalLight(0xffffff,1);dl.position.set(5,10,7);scene.add(dl);
|
||||
scene.add(new THREE.DirectionalLight(0x4488ff,0.3));
|
||||
// stars
|
||||
const s=new THREE.BufferGeometry();const p=new Float32Array(600*3);
|
||||
for(let i=0;i<600*3;i++)p[i]=(Math.random()-0.5)*100;
|
||||
s.setAttribute('position',new THREE.BufferAttribute(p,3));
|
||||
scene.add(new THREE.Points(s,new THREE.PointsMaterial({color:0xffffff,size:0.15})));
|
||||
|
||||
// mock flows → arcs
|
||||
const tlsC={'TLSv1.3':0x4cc9f0,'TLSv1.2':0x43aa8b,'TLSv1.1':0xf8961e,'TLSv1.0':0xf94144};
|
||||
const arcGrp=new THREE.Group();scene.add(arcGrp);
|
||||
const arcs=[];
|
||||
function llz(lat,lon,r){const p=(90-lat)*Math.PI/180,t=(lon+180)*Math.PI/180;return new THREE.Vector3(-r*Math.sin(p)*Math.cos(t),r*Math.cos(p),r*Math.sin(p)*Math.sin(t));}
|
||||
|
||||
// generate ~30 mock flows
|
||||
const cities=[{lat:31.2,lon:121.5},{lat:39.9,lon:116.4},{lat:35.7,lon:139.7},{lat:37.6,lon:127.0},{lat:51.5,lon:-0.13},{lat:48.9,lon:2.35},{lat:40.7,lon:-74.0},{lat:37.8,lon:-122.4},{lat:1.35,lon:103.8},{lat:-33.9,lon:151.2}];
|
||||
const tlsOpts=['TLSv1.3','TLSv1.2','TLSv1.3','TLSv1.2','TLSv1.1'];
|
||||
for(let i=0;i<30;i++){
|
||||
const src=cities[i%cities.length],dst=cities[(i+3)%cities.length];
|
||||
const f=llz(src.lat,src.lon,2),t=llz(dst.lat,dst.lon,2);
|
||||
const mid=new THREE.Vector3().addVectors(f,t).multiplyScalar(0.5).normalize().multiplyScalar(3.2);
|
||||
const curve=new THREE.QuadraticBezierCurve3(f,mid,t);
|
||||
const c=tlsOpts[i%tlsOpts.length];
|
||||
const mat=new THREE.MeshBasicMaterial({color:tlsC[c],transparent:true,opacity:0.5});
|
||||
const mesh=new THREE.Mesh(new THREE.TubeGeometry(curve,16,0.015,4,false),mat);
|
||||
mesh.userData={color:tlsC[c].toString(16)};
|
||||
arcGrp.add(mesh);arcs.push(mesh);
|
||||
}
|
||||
window._arcMeshes=arcs;
|
||||
|
||||
// drag
|
||||
let isD=false,pm={x:0,y:0};
|
||||
ren.domElement.onmousedown=e=>{isD=true;pm={x:e.clientX,y:e.clientY};};
|
||||
window.onmouseup=()=>isD=false;
|
||||
window.onmousemove=e=>{if(!isD)return;const dx=e.clientX-pm.x,dy=e.clientY-pm.y;earth.rotation.y+=dx*0.005;earth.rotation.x+=dy*0.005;arcGrp.rotation.y=earth.rotation.y;arcGrp.rotation.x=earth.rotation.x;pm={x:e.clientX,y:e.clientY};};
|
||||
|
||||
!function anim(){requestAnimationFrame(anim);if(!isD){earth.rotation.y+=0.003;arcGrp.rotation.y=earth.rotation.y;}ren.render(scene,cam);}();
|
||||
window._globeInit=true;
|
||||
}
|
||||
|
||||
// ═══════════════════════════════════════════════
|
||||
// RENDER PILLS & CARDS
|
||||
// ═══════════════════════════════════════════════
|
||||
(function init(){
|
||||
const pr=document.getElementById('pillRow');
|
||||
MOCK_CLUSTERS.forEach(c=>{
|
||||
if(c.label===-1)return;
|
||||
const p=document.createElement('span');p.className='pill';p.style.background=colorFor(c.label);
|
||||
p.dataset.lbl=c.label;p.textContent='#'+c.label+' ('+c.size+')';p.onclick=()=>selectCluster(c.label);
|
||||
pr.appendChild(p);
|
||||
});
|
||||
// noise pill
|
||||
const np=document.createElement('span');np.className='pill';np.style.background='#999';
|
||||
np.dataset.lbl='-1';np.textContent='噪声 ('+MOCK_CLUSTERS.find(c=>c.label===-1).size+')';np.onclick=()=>selectCluster(-1);
|
||||
pr.appendChild(np);
|
||||
|
||||
// cards
|
||||
const cg=document.getElementById('cardGrid');
|
||||
MOCK_CLUSTERS.forEach(c=>{
|
||||
if(c.label===-1)return;
|
||||
const card=document.createElement('div');card.className='cluster-card';card.dataset.label=c.label;
|
||||
card.innerHTML='<div class="label">簇 #'+c.label+'</div>'+
|
||||
'<div class="meta">'+c.size+' 个实体 · '+(c.prop*100).toFixed(0)+'%'+(c.silh!==null?' · 轮廓系数: '+c.silh.toFixed(4):'')+'</div>'+
|
||||
'<div class="desc">'+c.desc+'</div>';
|
||||
card.onclick=()=>selectCluster(c.label);
|
||||
cg.appendChild(card);
|
||||
});
|
||||
|
||||
drawScatter(null);
|
||||
// set initial handle pos
|
||||
document.getElementById('globeHandle').style.left='calc(100% - 20px)';
|
||||
})();
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 80 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 62 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 63 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 91 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 58 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 63 KiB |
+60
-178
@@ -1,178 +1,60 @@
|
||||
Restored 2 datasets from disk
|
||||
[2026-07-23 13:06:51,899] INFO django: Restored 2 datasets from disk
|
||||
[2026-07-23 13:06:52,038] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_64 rows=9990 cols=57
|
||||
[2026-07-23 13:06:52,043] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_66 rows=2000 cols=9
|
||||
[23/Jul/2026 13:21:24] "GET / HTTP/1.1" 200 10790
|
||||
[23/Jul/2026 13:21:24,471] - Broken pipe from ('127.0.0.1', 64227)
|
||||
[2026-07-23 13:27:21,369] INFO analysis.views: [UPLOAD] Received 1998 files
|
||||
[23/Jul/2026 13:27:22] "POST /upload/csv/ HTTP/1.1" 200 178755
|
||||
[23/Jul/2026 13:27:22] "POST /runs/5/finalize/ HTTP/1.1" 200 34
|
||||
[23/Jul/2026 13:27:22] "GET /runs/5/status/ HTTP/1.1" 200 188
|
||||
[2026-07-23 13:27:22,672] INFO analysis.views: [BACKGROUND] Forcing lat/lon column ':ips.latd' to Utf8 for safe parsing
|
||||
[2026-07-23 13:27:22,672] INFO analysis.views: [BACKGROUND] Forcing lat/lon column ':ips.lond' to Utf8 for safe parsing
|
||||
[2026-07-23 13:27:22,672] INFO analysis.views: [BACKGROUND] Forcing lat/lon column ':ipd.latd' to Utf8 for safe parsing
|
||||
[2026-07-23 13:27:22,672] INFO analysis.views: [BACKGROUND] Forcing lat/lon column ':ipd.lond' to Utf8 for safe parsing
|
||||
[2026-07-23 13:27:22,672] INFO analysis.views: [BACKGROUND] Found 1998 CSV files in C:\Users\25044\AppData\Roaming\TianXuan\data\uploads\20260723_052721
|
||||
[2026-07-23 13:27:23,325] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:23,609] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:23,895] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:24,170] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:24,447] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:24,733] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:25,000] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:25,268] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:25,553] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[23/Jul/2026 13:27:25] "GET /runs/5/status/ HTTP/1.1" 200 242
|
||||
[2026-07-23 13:27:25,838] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:26,116] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:26,392] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:26,668] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:26,946] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:27,231] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:27,497] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:27,782] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:28,071] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:28,349] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[2026-07-23 13:27:28,621] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=495 mode=append
|
||||
[23/Jul/2026 13:27:28] "GET /runs/5/status/ HTTP/1.1" 200 243
|
||||
[2026-07-23 13:27:28,713] INFO analysis.data_loader: [SAVE_TO_DB] table=_data_68 rows=90 mode=append
|
||||
E:\hjq\澶╃拠\analysis\views.py:584: PerformanceWarning: Determining the column names of a LazyFrame requires resolving its schema, which is a potentially expensive operation. Use `LazyFrame.collect_schema().names()` to get the column names without this warning.
|
||||
if lat_lon_col in lf.columns:
|
||||
[2026-07-23 13:27:29,071] INFO analysis.views: [BACKGROUND] Restored numeric types for 16 columns: ['1ipp', '2tmo', '4dbn', '4dur', '4srs', '8ack', '8byt', '8dbd', '8did', '8pak']
|
||||
[2026-07-23 13:27:29,150] INFO analysis.views: [BACKGROUND] SVD: 15 components from 16 numeric columns (explained variance ratio sum=1.0000)
|
||||
[23/Jul/2026 13:27:31] "GET /runs/5/status/ HTTP/1.1" 200 223
|
||||
[23/Jul/2026 13:27:56] "POST /analyze/run/ HTTP/1.1" 200 45
|
||||
[23/Jul/2026 13:27:56] "GET /runs/5/status/ HTTP/1.1" 200 223
|
||||
[2026-07-23 13:27:57,344] INFO analysis.tool_registry: [CLUSTER_INPUT] rows=9990 cols=10 feature_cols=['1ipp', '2tmo', '4dbn', '4dur', '4srs', '8ack', '8byt', '8dbd', '8did', '8pak']
|
||||
[2026-07-23 13:27:57,344] INFO analysis.tool_registry: [CLUSTER_SCALE] Starting StandardScaler...
|
||||
[2026-07-23 13:27:57,344] INFO analysis.tool_registry: [CLUSTER_SCALE] Done. shape=(9990, 10)
|
||||
E:\hjq\澶╃拠\runtime\python\Lib\site-packages\sklearn\cluster\_hdbscan\hdbscan.py:722: FutureWarning: The default value of `copy` will change from False to True in 1.10. Explicitly set a value for `copy` to silence this warning.
|
||||
warn(
|
||||
[23/Jul/2026 13:27:59] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:02] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:06] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
E:\hjq\澶╃拠\runtime\python\Lib\site-packages\umap\umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.
|
||||
warn(
|
||||
[23/Jul/2026 13:28:09] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:12] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:15] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:18] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:21] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:24] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:27] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:30] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:33] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[23/Jul/2026 13:28:37] "GET /runs/5/status/ HTTP/1.1" 200 240
|
||||
[2026-07-23 13:28:38,183] INFO analysis.geoip: [GEOIP] loaded 803 ranges from E:\hjq\澶╃拠\data\geoip_data.txt (0 skipped)
|
||||
E:\hjq\澶╃拠\runtime\python\Lib\site-packages\umap\umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.
|
||||
warn(
|
||||
[23/Jul/2026 13:28:40] "GET /runs/5/status/ HTTP/1.1" 200 254
|
||||
Restored 3 datasets from disk
|
||||
[2026-07-23 21:16:22,571] INFO django: Restored 3 datasets from disk
|
||||
[2026-07-23 21:16:22,802] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_64 rows=9990 cols=57
|
||||
[2026-07-23 21:16:22,804] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_66 rows=2000 cols=9
|
||||
[2026-07-23 21:16:22,992] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_68 rows=9990 cols=57
|
||||
[23/Jul/2026 21:16:44] "GET / HTTP/1.1" 200 12728
|
||||
[23/Jul/2026 21:16:44] "GET /static/tianxuan/favicon.svg HTTP/1.1" 304 0
|
||||
[23/Jul/2026 21:17:14] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:17:20] "HEAD / HTTP/1.1" 200 0
|
||||
Restored 3 datasets from disk
|
||||
[2026-07-23 21:22:58,596] INFO django: Restored 3 datasets from disk
|
||||
[2026-07-23 21:22:58,783] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_64 rows=9990 cols=57
|
||||
[2026-07-23 21:22:58,801] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_66 rows=2000 cols=9
|
||||
[2026-07-23 21:22:59,009] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_68 rows=9990 cols=57
|
||||
[23/Jul/2026 21:22:59] "GET / HTTP/1.1" 200 12728
|
||||
Restored 3 datasets from disk
|
||||
[2026-07-23 21:37:07[23/Jul/2026 21:37:07] "GET / HTTP/1.1" 200 12728
|
||||
[[23/Jul/2026 21:37:38] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:37:49] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:38:08] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:38:38] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:39:08] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:39:38] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:39:43] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:39:45] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:39:49] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:40:08] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:40:38] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:41:35] "HEAD / HTTP/1.1" 200 0
|
||||
Restored 3 datasets from disk
|
||||
[2026-07-23 21:42:01,918] INFO django: Restored 3 datasets from disk
|
||||
[2026-07-23 21:42:02,145] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_64 rows=9990 cols=57
|
||||
[2026-07-23 21:42:02,153] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_66 rows=2000 cols=9
|
||||
[2026-07-23 21:42:02,295] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_68 rows=9990 cols=57
|
||||
esponse = wrapped_callback(request, *callback_args, **callback_kwargs)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\simple_analysis\views.py", line 796, in index
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\shortcuts.py", line 24, in render
|
||||
content = loader.render_to_string(template_name, context, request, using=using)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\template\loader.py", line 61, in render_to_string
|
||||
template = get_template(template_name, using=using)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\template\loader.py", line 19, in get_template
|
||||
raise TemplateDoesNotExist(template_name, chain=chain)
|
||||
django.template.exceptions.TemplateDoesNotExist: simple_analysis/simple_analysis.html
|
||||
[2026-07-23 21:41:56,536] ERROR django.request: Internal Server Error: /simple/
|
||||
Traceback (most recent call last):
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\core\handlers\exception.py", line 55, in inner
|
||||
response = get_response(request)
|
||||
^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\core\handlers\base.py", line 197, in _get_response
|
||||
response = wrapped_callback(request, *callback_args, **callback_kwargs)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\simple_analysis\views.py", line 796, in index
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\shortcuts.py", line 24, in render
|
||||
content = loader.render_to_string(template_name, context, request, using=using)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\template\loader.py", line 61, in render_to_string
|
||||
template = get_template(template_name, using=using)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\hjq\天璇\runtime\python\Lib\site-packages\django\template\loader.py", line 19, in get_template
|
||||
raise TemplateDoesNotExist(template_name, chain=chain)
|
||||
django.template.exceptions.TemplateDoesNotExist: simple_analysis/simple_analysis.html
|
||||
[23/Jul/2026 21:41:56] "GET /simple/ HTTP/1.1" 500 80559
|
||||
Not Found: /favicon.ico
|
||||
[2026-07-23 21:41:56,814] WARNING django.request: Not Found: /favicon.ico
|
||||
[23/Jul/2026 21:41:56] "GET /favicon.ico HTTP/1.1" 404 6872
|
||||
Restored 3 datasets from disk
|
||||
[2026-07-23 21:45:23,039] INFO django: Restored 3 datasets from disk
|
||||
[2026-07-23 21:45:23,182] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_64 rows=9990 cols=57
|
||||
[2026-07-23 21:45:23,190] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_66 rows=2000 cols=9
|
||||
[2026-07-23 21:45:23,314] INFO analysis.data_loader: [LOAD_FROM_DB_LAZY] table=_data_68 rows=9990 cols=57
|
||||
[23/Jul/2026 21:45:28] "GET / HTTP/1.1" 200 12645
|
||||
[23/Jul/2026 21:45:31] "GET /upload/ HTTP/1.1" 200 19078
|
||||
[23/Jul/2026 21:45:44] "POST /runs/5/delete/ HTTP/1.1" 200 17
|
||||
[23/Jul/2026 21:45:44] "GET /upload/ HTTP/1.1" 200 18534
|
||||
[23/Jul/2026 21:45:46] "POST /runs/4/delete/ HTTP/1.1" 200 17
|
||||
[23/Jul/2026 21:45:46] "GET /upload/ HTTP/1.1" 200 17939
|
||||
[23/Jul/2026 21:45:48] "POST /runs/3/delete/ HTTP/1.1" 200 17
|
||||
[23/Jul/2026 21:45:48] "GET /upload/ HTTP/1.1" 200 17395
|
||||
[23/Jul/2026 21:45:51] "POST /runs/2/delete/ HTTP/1.1" 200 17
|
||||
[23/Jul/2026 21:45:51] "GET /upload/ HTTP/1.1" 200 16853
|
||||
[23/Jul/2026 21:45:52] "POST /runs/1/delete/ HTTP/1.1" 200 17
|
||||
[23/Jul/2026 21:45:52] "GET /upload/ HTTP/1.1" 200 16136
|
||||
[23/Jul/2026 21:46:23] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:46:53] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:47:23] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:47:53] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:48:23] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:48:53] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:49:23] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:49:53] "HEAD / HTTP/1.1" 200 0
|
||||
[23/Jul/2026 21:50:23] "HEAD / HTTP/1.1" 200 0
|
||||
Restored 3 datasets from disk
|
||||
[2026-07-23 21:50:50,464] INFO django: Restored 3 datasets from disk
|
||||
[23/Jul/2026 21:50:54] "GET /analyze/manual/ HTTP/1.1" 200 65847
|
||||
[23/Jul/2026 21:50:54] "GET /tools/plan/ HTTP/1.1" 200 13
|
||||
[23/Jul/2026 21:50:57] "GET /analyze/auto/ HTTP/1.1" 200 39486
|
||||
[23/Jul/2026 21:51:09] "GET /runs/ HTTP/1.1" 200 9674
|
||||
[2026-07-23 21:51:10,324] INFO analysis.geoip: [GEOIP] loaded 0 ranges (0 skipped)
|
||||
[2026-07-23 21:51:10,325] INFO analysis.geoip: [GEOIP] loaded 12 cached entries
|
||||
[23/Jul/2026 21:51:10] "GET /globe/ HTTP/1.1" 200 18520
|
||||
[23/Jul/2026 21:51:10] "GET /static/tianxuan/three.min.js HTTP/1.1" 304 0
|
||||
[23/Jul/2026 21:51:10] "GET /static/tianxuan/world_borders.js HTTP/1.1" 304 0
|
||||
[23/Jul/2026 21:51:10] "GET /static/tianxuan/three.min.js HTTP/1.1" 304 0
|
||||
[23/Jul/2026 21:51:10] "GET /static/tianxuan/world_borders.js HTTP/1.1" 304 0
|
||||
[23/Jul/2026 21:51:10] "GET /static/tianxuan/earth_atmos_2048.jpg HTTP/1.1" 304 0
|
||||
[23/Jul/2026 21:51:27] "GET /config/ HTTP/1.1" 200 14372
|
||||
Restored 1 datasets from disk
|
||||
[2026-07-24 12:30:18,755] INFO analysis.data_loader: [LOAD] files=1 total_rows_est=200
|
||||
[2026-07-24 12:30:18,742] INFO django: Restored 1 datasets from disk
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=0cph dtype=String
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=0crv dtype=String
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=0rnd dtype=String
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=0rnt dtype=String
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=0ver dtype=String
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=1ipp dtype=Int64
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=2tmo dtype=Float64
|
||||
[2026-07-24 12:30:18,811] INFO analysis.data_loader: [LOAD_SCHEMA] col=4dbn dtype=Int64
|
||||
[2026-07-24 12:30:18,817] INFO analysis.data_loader: [LOAD_SCHEMA] col=4dur dtype=Float64
|
||||
[2026-07-24 12:30:18,817] INFO analysis.data_loader: [LOAD_SCHEMA] col=4ksz dtype=Int64
|
||||
[2026-07-24 12:30:18,817] INFO analysis.data_loader: [LOAD_SCHEMA] col=4srs dtype=Int64
|
||||
[2026-07-24 12:30:18,817] INFO analysis.data_loader: [LOAD_SCHEMA] col=8ack dtype=Int64
|
||||
[2026-07-24 12:30:18,817] INFO analysis.data_loader: [LOAD_SCHEMA] col=8byt dtype=Int64
|
||||
[2026-07-24 12:30:18,817] INFO analysis.data_loader: [LOAD_SCHEMA] col=8dbd dtype=Int64
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=8did dtype=Int64
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=8pak dtype=Int64
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=8ppk dtype=Int64
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=8seq dtype=Float64
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=8ses dtype=Float64
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd dtype=String
|
||||
[2026-07-24 12:30:18,818] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.anon dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.city dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.doma dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.ispn dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.latd dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.lond dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ipd.orgn dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.anon dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.city dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.doma dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.ispn dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.latd dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.lond dtype=String
|
||||
[2026-07-24 12:30:18,822] INFO analysis.data_loader: [LOAD_SCHEMA] col=:ips.orgn dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=:prd dtype=Int64
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=:prs dtype=Int64
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=cipher-suite dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=client-ip dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=cnam dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=crcc dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=dcnt dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=ecdhe-named-curve dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=name dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=orga dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=orgu dtype=Int64
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=scnt dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=server-ip dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=snam dtype=String
|
||||
[2026-07-24 12:30:18,827] INFO analysis.data_loader: [LOAD_SCHEMA] col=source-node dtype=String
|
||||
[2026-07-24 12:30:18,832] INFO analysis.data_loader: [LOAD_SCHEMA] col=tabl dtype=String
|
||||
[2026-07-24 12:30:18,832] INFO analysis.data_loader: [LOAD_SCHEMA] col=time dtype=String
|
||||
[2026-07-24 12:30:18,832] INFO analysis.data_loader: [LOAD_SCHEMA] col=timestamp dtype=Float64
|
||||
[2026-07-24 12:30:18,840] INFO analysis.data_loader: [CLEAN] Generic numeric coercion applied: [':ipd.lond', ':ipd.doma', ':ipd.ispn', 'cnam', ':ips.ispn', ':ips.doma', 'orga', 'snam', 'time', ':ips.orgn', ':ipd.orgn', 'crcc', ':ips.latd', ':ipd.latd', ':ips.city', ':ipd.city', ':ips.lond']
|
||||
[2026-07-24 12:30:18,840] INFO analysis.data_loader: [CLEAN] HEX columns added hex_pairs_count: ['0cph', '0crv', '0ver', '0rnt', '0rnd']
|
||||
[24/Jul/2026 12:30:37] "HEAD / HTTP/1.1" 200 0
|
||||
[24/Jul/2026 12:31:07] "HEAD / HTTP/1.1" 200 0
|
||||
|
||||
+2
-59
@@ -1,65 +1,8 @@
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 13:06:51
|
||||
July 24, 2026 - 12:30:18
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://127.0.0.1:18766/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 21:16:22
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://0.0.0.0:8000/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 21:22:58
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://0.0.0.0:8000/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 21:37:07
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://0.0.0.0:8000/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 21:42:01
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://0.0.0.0:8000/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 21:45:23
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://0.0.0.0:8000/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
Performing system checks...
|
||||
|
||||
System check identified no issues (0 silenced).
|
||||
July 23, 2026 - 21:50:50
|
||||
Django version 4.2.30, using settings 'tianxuan.settings'
|
||||
Starting development server at http://0.0.0.0:8000/
|
||||
Starting development server at http://127.0.0.1:8765/
|
||||
Quit the server with CTRL-BREAK.
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
{% extends 'base.html' %}
|
||||
{% extends 'base.html' %}
|
||||
{% load static %}
|
||||
{% block title %}簇 #{{ cluster.cluster_label }} — 运行 #{{ run.display_id }}{% endblock %}
|
||||
{% block content %}
|
||||
@@ -53,11 +53,11 @@
|
||||
<td>{{ forloop.counter }}</td>
|
||||
<td><code>{{ f.feature_name }}</code></td>
|
||||
<td><span class="{% if f.distinguishing_score > 0 %}feat-positive{% else %}feat-negative{% endif %}">{{ f.distinguishing_score|floatformat:3 }}</span></td>
|
||||
<td>{{ f.mean|floatformat:3|default:"-" }}</td>
|
||||
<td class="ts-val" data-col="{{ f.feature_name }}">{{ f.mean|floatformat:3|default:"-" }}</td>
|
||||
<td>{{ f.std|floatformat:3|default:"-" }}</td>
|
||||
<td>{{ f.median|floatformat:3|default:"-" }}</td>
|
||||
<td>{{ f.p25|floatformat:3|default:"-" }}</td>
|
||||
<td>{{ f.p75|floatformat:3|default:"-" }}</td>
|
||||
<td class="ts-val" data-col="{{ f.feature_name }}">{{ f.median|floatformat:3|default:"-" }}</td>
|
||||
<td class="ts-val" data-col="{{ f.feature_name }}">{{ f.p25|floatformat:3|default:"-" }}</td>
|
||||
<td class="ts-val" data-col="{{ f.feature_name }}">{{ f.p75|floatformat:3|default:"-" }}</td>
|
||||
</tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
@@ -121,4 +121,21 @@
|
||||
<div class="empty-state"><p>该簇无数据行</p></div>
|
||||
{% endif %}
|
||||
</div>
|
||||
{% endblock %}
|
||||
{% endblock %}
|
||||
|
||||
<script>
|
||||
(function(){
|
||||
var tsCols=["timestamp","time","epoch","ts","8dbd","created_at","updated_at","event_time","datetime"];
|
||||
document.querySelectorAll(".ts-val").forEach(function(el){
|
||||
var col=el.dataset.col,isTs=false;
|
||||
for(var i=0;i<tsCols.length;i++){if(col.toLowerCase().indexOf(tsCols[i])>=0){isTs=true;break;}}
|
||||
if(!isTs)return;
|
||||
var raw=parseFloat(el.textContent);
|
||||
if(isNaN(raw)||raw<1e8||raw>2e12)return;
|
||||
var d=new Date(raw*1000);
|
||||
if(d.getFullYear()<2000||d.getFullYear()>2100)return;
|
||||
el.textContent=d.toISOString().replace("T"," ").substring(0,16);
|
||||
el.title="epoch: "+raw;
|
||||
});
|
||||
})();
|
||||
</script>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
.left-panel.globe-open { flex:0 0 55%; }
|
||||
.right-panel { flex:0 0 0; overflow:hidden; transition:flex 0.3s; border-left:1px solid #e0e0e0; }
|
||||
.right-panel.globe-open { flex:0 0 45%; }
|
||||
.globe-toggle-handle { position:absolute; z-index:10; top:50%; left:calc(100% - 24px); transform:translateY(-50%); width:24px; height:48px; background:#1a1a2e; color:#fff; border:none; border-radius:0 6px 6px 0; cursor:pointer; display:flex; align-items:center; justify-content:center; font-size:14px; transition:left 0.3s, background 0.15s; }
|
||||
.globe-toggle-handle { position:absolute; z-index:10; top:50%; left:calc(100% - 24px); transform:translateY(-50%); width:24px; height:48px; background:#1a1a2e; color:#fff; border:none; border-radius:6px 0 0 6px; cursor:pointer; display:flex; align-items:center; justify-content:center; font-size:14px; transition:left 0.3s, background 0.15s; }
|
||||
.globe-toggle-handle:hover { background:#4361ee; }
|
||||
.globe-toggle-handle.open { left:calc(55% - 24px); border-radius:6px 0 0 6px; }
|
||||
/* ── Scatter ── */
|
||||
@@ -61,7 +61,7 @@
|
||||
<!-- ── UMAP 2D / 3D ── -->
|
||||
<div class="card">
|
||||
<div style="display:flex;justify-content:space-between;align-items:center;flex-wrap:wrap;gap:0.5rem;">
|
||||
<h3 style="margin:0;">UMAP 嵌入 <span style="font-weight:400;font-size:0.8rem;color:#888;"><script>document.write(scatterCount)</script> 个点</span></h3>
|
||||
<h3 style="margin:0;">UMAP 嵌入 <span style="font-weight:400;font-size:0.8rem;color:#888;" id="pointCount">计算中...</span></h3>
|
||||
<span id="viewToggle" style="display:none;">
|
||||
<button id="btn2D" class="btn btn-sm" style="font-weight:bold;padding:2px 10px;">2D</button>
|
||||
<button id="btn3D" class="btn btn-sm btn-outline" style="padding:2px 10px;">3D</button>
|
||||
@@ -137,6 +137,7 @@
|
||||
<script>
|
||||
const scatterData = {{ scatter_data_json|safe }};
|
||||
const scatterCount = scatterData.length;
|
||||
document.getElementById('pointCount').textContent = scatterCount + ' 个点';
|
||||
const hasZ = {{ has_z|yesno:"true,false" }};
|
||||
const colors = ['#4361ee','#f72585','#7209b7','#4cc9f0','#f8961e','#43aa8b','#f94144','#577590','#e9c46a','#9b5de5',
|
||||
'#1f77b4','#ff7f0e','#2ca02c','#d62728','#9467bd','#8c564b','#e377c2','#7f7f7f','#bcbd22','#17becf',
|
||||
|
||||
Reference in New Issue
Block a user