重构DBN模型

app/api/earthquake.py

@@ -30,7 +30,7 @@ def _build_prediction_items(results: List[Dict[str, Any]]) -> List[PredictionIte
 
         max_hazard = max(probs, key=probs.get)
         items.append(PredictionItem(
-            id=r["point_id"],
+            id=r["source_id"],  # 使用 source_id（隐患点/风险点ID）而非 xian_risk_factors.id
             type=SOURCE_TYPE_MAP.get(r.get("source_type"), "未知"),
             probability=round(probs[max_hazard], 4),
             level=LEVEL_MAP.get(levels.get(max_hazard, "none"), "无"),
@@ -70,7 +70,7 @@ def _predict_sync(point_ids: Optional[List[int]], region_code: Optional[str],
 
     save_results = [
         {
-            "point_id": r.get("point_id"),
+            "point_id": r.get("source_id"),  # 使用 source_id（隐患点/风险点ID）而非 xian_risk_factors.id
             "source_type": r.get("source_type"),
             "lon": r.get("lon"),
             "lat": r.get("lat"),

app/api/rainfall.py

@@ -31,7 +31,7 @@ def _build_prediction_items(results: List[Dict[str, Any]]) -> List[PredictionIte
 
         max_hazard = max(probs, key=probs.get)
         items.append(PredictionItem(
-            id=r["point_id"],
+            id=r["source_id"],  # 使用 source_id（隐患点/风险点ID）而非 xian_risk_factors.id
             type=SOURCE_TYPE_MAP.get(r.get("source_type"), "未知"),
             probability=round(probs[max_hazard], 4),
             level=LEVEL_MAP.get(levels.get(max_hazard, "none"), "无"),
@@ -73,7 +73,7 @@ def _predict_sync(point_ids: Optional[List[int]], region_code: Optional[str],
     }
     save_results = [
         {
-            "point_id": r.get("point_id"),
+            "point_id": r.get("source_id"),  # 使用 source_id（隐患点/风险点ID）而非 xian_risk_factors.id
             "source_type": r.get("source_type"),
             "lon": r.get("lon"),
             "lat": r.get("lat"),

app/config/dbn/discretization.yaml

@@ -2,8 +2,8 @@
 # 定义所有连续因子的分箱规则
 # 包含暴雨灾害链和地震灾害链的全部因子
 #
-# 2026-06-06: 基于1201个样本的实际数据分布，采用分位数分箱（等频分箱）
+# 2026-06-11: 基于1365个样本（796隐患点+569风险点）的实际数据分布
-# 替代原有等宽分箱，使每个区间样本量更均匀
+# 连续因子采用分位数分箱（等频分箱），分类因子基于实际编码映射
 
 # ============================================
 # 暴雨触发层离散化规则（保持气象标准不变）
@@ -62,17 +62,17 @@ seismic_intensity:
 elevation:
   description: "高程"
   unit: "m"
-  # 数据: [356, 1934], 均值764.3±317.89, 偏度0.973
+  # 数据: [354, 1926], 均值789.36±325.64
-  # 分位数: [356, 470, 624, 792, 1016, 1934]
+  # 分位数: [354, 482, 637, 817, 1074, 1926]
-  bins: [356, 470, 624, 792, 1016, 1934]
+  bins: [354, 482, 637, 817, 1074, 1926]
   labels: [very_low, low, medium, high, very_high]
 
 slope:
   description: "坡度"
   unit: "度"
-  # 数据: [0.11, 47.14], 均值9.42±8.57, 偏度1.433
+  # 数据: [0.0, 47.0], 均值10.46±9.12
-  # 分位数: [0.11, 1.81, 5.43, 9.48, 15.13, 47.14]
+  # 分位数: [0.0, 2.0, 6.0, 11.0, 17.0, 47.0]
-  bins: [0.11, 1.81, 5.43, 9.48, 15.13, 47.14]
+  bins: [0.0, 2.0, 6.0, 11.0, 17.0, 47.0]
   labels: [very_low, low, medium, high, very_high]
 
 aspect:
@@ -85,13 +85,20 @@ aspect:
 
 soil_type:
   description: "土壤分类（中国土壤分类系统）"
-  unit: "分类代码"
+  unit: "3位数编码"
+  # 中国土壤分类系统25个亚类，本数据库出现8种
+  # 编码规则：1xx淋溶土、2xx钙层/均腐土、4xx初育土
   mapping:
-    0: ultisol        # 老成土
+    110: brown_soil     # 棕壤（淋溶土，秦岭北麓山地）
-    6: entisol        # 初育土
+    120: brown_soil     # 暗棕壤（淋溶土，高海拔山地）
-    11: fluvo_aquic   # 潮土
+    130: yellow_brown   # 黄棕壤（淋溶土，暖温带过渡区）
-    18: yellow_brown  # 黄棕壤
+    150: yellow_brown   # 黄褐土（淋溶土，黄土塬区）
-  default: entisol
+    210: cinnamon       # 褐土（钙层土，黄土塬区主要旱作土壤）
+    240: black_lu       # 黑垆土（均腐土，古土壤残余）
+    410: alluvial       # 新积土（初育土，渭河冲积平原）
+    420: aeolian        # 风沙土（初育土，风积沙质土壤）
+    255: unknown        # GIS背景值（1个样本）
+  default: cinnamon    # 褐土占比最大（38.8%），作为默认值
 
 lithology:
   description: "岩性（中国地质分类）"
@@ -105,18 +112,19 @@ lithology:
     11: mixed_clastic     # 混合碎屑沉积岩（砂岩+泥岩互层）
     13: terrigenous       # 陆源碎屑岩（砂岩、粉砂岩）
     14: unconsolidated    # 松散堆积物（黄土、冲洪积）
+    255: unknown          # 无数据（GIS栅格背景值）
   default: unconsolidated
 
 landuse:
   description: "土地利用类型"
   unit: "分类代码"
   mapping:
-    10: forest       # 林地
+    1: forest        # 林地（GIS栅格编码1）
-    30: farmland     # 农田
+    2: farmland      # 农田（GIS栅格编码2）
-    40: urban        # 城市
+    3: urban         # 城市（GIS栅格编码3）
-    50: water        # 水域
+    4: water         # 水域（GIS栅格编码4）
-    60: barren       # 裸地
+    5: barren        # 裸地（GIS栅格编码5）
-    80: farmland     # 耕地（合并入农田）
+    8: farmland      # 耕地（GIS栅格编码8，合并入农田）
   default: farmland
 
 terrain:
@@ -130,80 +138,82 @@ terrain:
     5: gentle_hill    # 低缓丘陵（塬边过渡带）
     6: low_mountain   # 低山（骊山等）
     7: flat_plain     # 平缓平原（冲积平原）
+    255: unknown      # 无数据（GIS栅格背景值）
   default: hill
 
 impervious:
   description: "不透水率"
-  unit: "百分比"
+  unit: "小数比例（0-1）"
-  # 数据: [0.0, 97.2], 均值16.40±25.99, 偏度1.787
+  # 数据: [0.0, 1.0], 均值0.31±0.46
-  # 26.9%为0.0（无硬化地表），非零值右偏分布
+  # 68.9%为0.0（无硬化地表），非零值右偏分布
-  # 分箱策略：0单独一类，其余4等分（分位数分箱）
+  # 分箱策略：0单独一类，其余4等分
-  # 分位数(非零): [2.0, 9.95, 31.8, 97.2]
+  bins: [0.0, 0.01, 0.25, 0.50, 0.75, 1.0]
-  bins: [0.0, 0.01, 2.0, 10.0, 32.0, 97.2]
   labels: [none, very_low, low, medium, high]
 
 ndvi:
   description: "植被指数"
-  unit: "NDVI值"
+  unit: "NDVI值（×1000缩放）"
-  # 数据: [1.25, 38.68], 均值20.67±5.87, 偏度-0.106
+  # 数据: [-1.0, 5336.0], 均值2045.95±689.47
-  # 分位数: [1.25, 17.09, 20.3, 22.4, 25.2, 38.68]
+  # 分位数: [-1.0, 1616.2, 1891.0, 2172.0, 2496.0, 5336.0]
-  bins: [1.25, 17.09, 20.3, 22.4, 25.2, 38.68]
+  bins: [-1.0, 1616.0, 1891.0, 2172.0, 2496.0, 5336.0]
   labels: [very_low, low, medium, high, very_high]
 
 sand_content:
   description: "土壤含沙量"
   unit: "百分比"
-  # 数据: [23.0, 52.0], 均值34.43±4.29, 偏度0.538
+  # 数据: [23.0, 255.0], 均值35.14±7.75
-  # 分位数: [23.0, 31.0, 33.0, 35.0, 37.0, 52.0]
+  # 255为异常值（缺失值编码），正常范围[23, 52]
-  bins: [23.0, 31.0, 33.0, 35.0, 37.0, 52.0]
+  # 分位数(正常值): [23.0, 31.0, 34.0, 35.0, 38.0, 52.0]
+  bins: [23.0, 31.0, 34.0, 35.0, 38.0, 255.0]
   labels: [very_low, low, medium, high, very_high]
 
 ph:
   description: "土壤PH值"
-  unit: "PH值"
+  unit: "PH值（×10缩放，如71=7.1）"
-  # 数据: [59.0, 81.0], 均值71.79±4.14, 偏度-0.398
+  # 数据: [60.0, 255.0], 均值71.82±6.91
-  # 分位数: [59.0, 68.0, 72.0, 74.0, 76.0, 81.0]
+  # 255为异常值（缺失值编码），正常范围[59, 81]
-  bins: [59.0, 68.0, 72.0, 74.0, 76.0, 81.0]
+  # 分位数(正常值): [60.0, 67.0, 71.0, 74.0, 76.0, 81.0]
+  bins: [60.0, 67.0, 71.0, 74.0, 76.0, 255.0]
   labels: [very_low, low, medium, high, very_high]
 
 soil_moisture:
   description: "土壤湿度"
-  unit: "百分比"
+  unit: "小数比例（0-1）"
-  # 数据: [0.0, 41.1], 均值32.02±14.92, 偏度-1.676
+  # 数据: [-1.0, 0.28], 均值0.15±0.08, 约10%为-1（缺失值）
-  # 约10%为0.0（缺失/极端干燥），其余集中在37-41
+  # 正常值范围: [0.0, 0.28]
-  # 分位数: [0.0, 37.7, 38.6, 38.9, 39.4, 41.1]
+  # 分位数(正常值): [0.0, 0.12, 0.14, 0.16, 0.19, 0.28]
-  bins: [0.0, 37.0, 38.5, 39.5, 41.1]
+  # 分箱策略：-1视为缺失/极端干燥，其余4等分
-  labels: [very_low, low, medium, high]
+  bins: [-1.0, 0.0, 0.10, 0.14, 0.18, 0.28]
+  labels: [very_low, low, medium, high, very_high]
 
 organic_carbon:
   description: "有机碳"
   unit: "百分比"
-  # 数据: [0.0, 73.0], 均值38.36±19.14, 偏度-1.187
+  # 数据: [0.0, 65.0], 均值39.03±19.13
-  # 分位数: [0.0, 34.0, 41.0, 47.0, 53.0, 73.0]
+  # 分位数: [0.0, 34.0, 42.0, 48.0, 53.0, 65.0]
-  bins: [0.0, 34.0, 41.0, 47.0, 53.0, 73.0]
+  bins: [0.0, 34.0, 42.0, 48.0, 53.0, 65.0]
   labels: [very_low, low, medium, high, very_high]
 
 dist_to_river:
   description: "距离河道距离"
   unit: "米"
-  # 数据: [12.21, 29904.99], 均值11003.92±6582.23, 偏度0.271
+  # 数据: [12.21, 29968.26], 均值11378.07±6704.59
-  # 分位数: [12.21, 5165.0, 9003.0, 12424.97, 16431.82, 29904.99]
+  # 分位数: [12.21, 5409.3, 9522.82, 12667.75, 16952.46, 29968.26]
-  bins: [12.21, 5165.0, 9003.0, 12424.97, 16431.82, 29904.99]
+  bins: [12.21, 5409.3, 9522.82, 12667.75, 16952.46, 29968.26]
   labels: [very_close, close, moderate, far, very_far]
 
 dist_to_fault:
   description: "距离断裂带距离"
   unit: "米"
-  # 数据: [1.74, 14542.53], 均值3448.52±3406.56, 偏度1.055
+  # 数据: [1.72, 14685.31], 均值3527.70±3400.55
-  # 分位数: [1.74, 476.69, 1433.62, 3334.87, 6502.28, 14542.53]
+  # 分位数: [1.72, 515.98, 1451.71, 3577.36, 6545.45, 14685.31]
-  bins: [1.74, 476.69, 1433.62, 3334.87, 6502.28, 14542.53]
+  bins: [1.72, 515.98, 1451.71, 3577.36, 6545.45, 14685.31]
   labels: [very_close, close, moderate, far, very_far]
 
 pipe_density:
   description: "供水管网密度"
   unit: "m/m²"
-  # 数据: [0.0, 0.07], 约80%为0.0，90%分位数0.013，95%分位数0.023
+  # 数据: [0.0, 0.07], 约83.9%为0.0，非零值分位数[0.000438, 0.007136, 0.015399, 0.024523, 0.065431]
-  # 分箱策略：0单独一类，其余3等分（分位数分箱）
+  # 分箱策略：0单独一类，其余3等分
-  # 分位数(非零): [0.013, 0.023, 0.065]
+  bins: [0.0, 0.001, 0.010, 0.025, 0.065]
-  bins: [0.0, 0.001, 0.013, 0.023, 0.065]
   labels: [none, low, medium, high]

app/config/dbn/earthquake_cpt_params.yaml

@@ -102,8 +102,8 @@ landslide:
     # 大地震+近场+丘陵地形：黄土塬边
     - condition: {magnitude: [major, great], epicenter_distance: [very_near, near], terrain: [hill, gentle_hill]}
       probability: 0.55
-    # 强震+近场+初育土（黄土）
+    # 强震+近场+初育土（新积土/风沙土，黄土）
-    - condition: {magnitude: [strong, major], epicenter_distance: [very_near, near], soil_type: [entisol]}
+    - condition: {magnitude: [strong, major], epicenter_distance: [very_near, near], soil_type: [alluvial, aeolian]}
       probability: 0.52
 
     # === 中风险（0.20-0.40）===

app/config/dbn/earthquake_dbn_graph.yaml

@@ -147,18 +147,18 @@ node_states:
   seismic_intensity: [minor, light, moderate, severe, extreme]
 
   # 环境层（与暴雨模型共享，状态名与 discretization.yaml 一致）
-  # 基于1201个样本的实际数据分布，2026-06-06更新
+  # 基于1365个样本的实际数据分布，2026-06-11更新
   elevation: [very_low, low, medium, high, very_high]
   slope: [very_low, low, medium, high, very_high]
   aspect: [flat, north, east, south, west]
-  soil_type: [ultisol, entisol, fluvo_aquic, yellow_brown]
+  soil_type: [brown_soil, yellow_brown, cinnamon, black_lu, alluvial, aeolian, unknown]
-  lithology: [acid_rock, basic_rock, carbonate, metamorphic, mixed_clastic, terrigenous, unconsolidated]
+  lithology: [acid_rock, basic_rock, carbonate, metamorphic, mixed_clastic, terrigenous, unconsolidated, unknown]
   landuse: [forest, farmland, urban, water, barren]
-  terrain: [mountain, plain, deep_valley, hill, gentle_hill, low_mountain, flat_plain]
+  terrain: [mountain, plain, deep_valley, hill, gentle_hill, low_mountain, flat_plain, unknown]
   ndvi: [very_low, low, medium, high, very_high]
   sand_content: [very_low, low, medium, high, very_high]
   ph: [very_low, low, medium, high, very_high]
-  soil_moisture: [very_low, low, medium, high]
+  soil_moisture: [very_low, low, medium, high, very_high]
   organic_carbon: [very_low, low, medium, high, very_high]
   dist_to_river: [very_close, close, moderate, far, very_far]
   dist_to_fault: [very_close, close, moderate, far, very_far]

app/config/dbn/rainfall_cpt_params.yaml

@@ -72,8 +72,8 @@ landslide:
     # 城区开挖坡脚/弃土加载+暴雨：工程滑坡
     - condition: {landuse: [urban], slope: [medium, high, very_high], rain_intensity: [heavy, storm, downpour, extreme]}
       probability: 0.52
-    # 大雨+陡坡+初育土（黄土）：黄土塬边滑坡
+    # 大雨+陡坡+初育土（新积土/风沙土，黄土）：黄土塬边滑坡
-    - condition: {rain_intensity: [heavy, storm, downpour], slope: [high, very_high], soil_type: [entisol]}
+    - condition: {rain_intensity: [heavy, storm, downpour], slope: [high, very_high], soil_type: [alluvial, aeolian]}
       probability: 0.50
 
     # === 中风险（0.20-0.40）===

app/config/dbn/rainfall_dbn_graph.yaml

@@ -143,19 +143,19 @@ node_states:
   accum_rain: [trace, light, moderate, heavy, extreme]
 
   # 环境层（离散字段状态名与数据库编码一一对应，连续字段用分位数分箱）
-  # 基于1201个样本的实际数据分布，2026-06-06更新
+  # 基于1365个样本的实际数据分布，2026-06-11更新
   elevation: [very_low, low, medium, high, very_high]
   slope: [very_low, low, medium, high, very_high]
   aspect: [flat, north, east, south, west]
-  soil_type: [ultisol, entisol, fluvo_aquic, yellow_brown]
+  soil_type: [brown_soil, yellow_brown, cinnamon, black_lu, alluvial, aeolian, unknown]
-  lithology: [acid_rock, basic_rock, carbonate, metamorphic, mixed_clastic, terrigenous, unconsolidated]
+  lithology: [acid_rock, basic_rock, carbonate, metamorphic, mixed_clastic, terrigenous, unconsolidated, unknown]
   landuse: [forest, farmland, urban, water, barren]
-  terrain: [mountain, plain, deep_valley, hill, gentle_hill, low_mountain, flat_plain]
+  terrain: [mountain, plain, deep_valley, hill, gentle_hill, low_mountain, flat_plain, unknown]
   impervious: [none, very_low, low, medium, high]
   ndvi: [very_low, low, medium, high, very_high]
   sand_content: [very_low, low, medium, high, very_high]
   ph: [very_low, low, medium, high, very_high]
-  soil_moisture: [very_low, low, medium, high]
+  soil_moisture: [very_low, low, medium, high, very_high]
   organic_carbon: [very_low, low, medium, high, very_high]
   dist_to_river: [very_close, close, moderate, far, very_far]
   dist_to_fault: [very_close, close, moderate, far, very_far]

app/core/launcher.py

@@ -34,9 +34,6 @@ class AppLauncher:
             # 检查虚拟环境
             check_virtualenv(self.project_root)
 
-            # 检查安装依赖
-            check_dependencies(self.project_root)
-
             # 检查是否正在使用虚拟环境运行
             import platform
             import sys
@@ -57,12 +54,16 @@ class AppLauncher:
                 print("检测到未使用虚拟环境，正在切换到虚拟环境...")
                 print("=" * 50)
                 
-                # 使用虚拟环境的Python重新启动应用
+                # 使用虚拟环境的Python重新启动应用（不传递参数避免重复检查）
                 import subprocess
                 cmd = [str(venv_python)] + sys.argv
                 subprocess.run(cmd, check=True)
                 return
 
+            # 以下代码仅在虚拟环境中执行
+            # 检查安装依赖（只执行一次）
+            check_dependencies(self.project_root)
+
             # 启动应用
             print("\n" + "=" * 50)
             print("✓ 所有检查通过，准备启动应用...")

app/models/dbn/earthquake/earthquake_dbn.py

@@ -214,11 +214,12 @@ class EarthquakeDBN:
             预测结果
         """
         point_id = point.get('id')
+        source_id = point.get('source_id')
         lon = point.get('lon')
         lat = point.get('lat')
         source_type = point.get('source_type')
 
-        logger.debug(f"地震预测点 ID={point_id}, source_type={source_type}")
+        logger.debug(f"地震预测点 ID={point_id}, source_id={source_id}, source_type={source_type}")
 
         # 计算震中距（如果未直接提供）
         if epicenter_distance is None:
@@ -270,6 +271,7 @@ class EarthquakeDBN:
         # 构造输出
         result = {
             'point_id': point_id,
+            'source_id': source_id,  # 隐患点/风险点的真实ID
             'source_type': source_type,
             'lon': lon,
             'lat': lat,
@@ -376,6 +378,7 @@ class EarthquakeDBN:
                 logger.error(f"预测点 {point.get('id')} 失败: {e}")
                 results.append({
                     'point_id': point.get('id'),
+                    'source_id': point.get('source_id'),
                     'source_type': point.get('source_type'),
                     'lon': point.get('lon'),
                     'lat': point.get('lat'),
@@ -423,6 +426,7 @@ class EarthquakeDBN:
                 logger.error(f"预测点 {point.get('id')} 失败: {e}")
                 results.append({
                     'point_id': point.get('id'),
+                    'source_id': point.get('source_id'),
                     'source_type': point.get('source_type'),
                     'lon': point.get('lon'),
                     'lat': point.get('lat'),

app/models/dbn/rainfall/rainfall_dbn.py

@@ -230,11 +230,12 @@ class RainfallDBN:
             预测结果
         """
         point_id = point.get('id')
+        source_id = point.get('source_id')
         lon = point.get('lon')
         lat = point.get('lat')
         source_type = point.get('source_type')
 
-        logger.debug(f"预测点 ID={point_id}, source_type={source_type}")
+        logger.debug(f"预测点 ID={point_id}, source_id={source_id}, source_type={source_type}")
 
         # 获取降雨数据
         if rainfall is not None and duration is not None:
@@ -287,6 +288,7 @@ class RainfallDBN:
         # 构造输出
         result = {
             'point_id': point_id,
+            'source_id': source_id,  # 隐患点/风险点的真实ID
             'source_type': source_type,
             'lon': lon,
             'lat': lat,
@@ -369,6 +371,7 @@ class RainfallDBN:
                 logger.error(f"预测点 {point.get('id')} 失败: {e}")
                 results.append({
                     'point_id': point.get('id'),
+                    'source_id': point.get('source_id'),
                     'source_type': point.get('source_type'),
                     'lon': point.get('lon'),
                     'lat': point.get('lat'),
@@ -417,6 +420,7 @@ class RainfallDBN:
                 logger.error(f"预测点 {point.get('id')} 失败: {e}")
                 results.append({
                     'point_id': point.get('id'),
+                    'source_id': point.get('source_id'),
                     'source_type': point.get('source_type'),
                     'lon': point.get('lon'),
                     'lat': point.get('lat'),

app/utils/logger.py

@@ -1,81 +1,78 @@
 """
 日志工具类
-支持按天分割、自动清理过期日志
+使用 loguru 提供增强的日志功能，支持按天分割、自动清理过期日志
 """
-import logging
+import sys
 from pathlib import Path
-from logging.handlers import TimedRotatingFileHandler
+from loguru import logger
-from datetime import datetime, timedelta
 
 
 class LoggerManager:
-    """日志管理器"""
+    """日志管理器 - 基于 loguru"""
 
-    _loggers = {}
+    _configured = False
 
     @classmethod
-    def get_logger(cls, name: str = "algorithm", log_dir: str = "logs") -> logging.Logger:
+    def get_logger(cls, name: str = "algorithm", log_dir: str = "logs"):
         """
-        获取日志记录器
+        获取日志记录器（loguru 不需要传统意义上的 logger 实例）
+        
+        Args:
+            name: 日志名称（用于文件命名）
+            log_dir: 日志目录
+            
+        Returns:
+            loguru.logger 实例
+        """
+        if not cls._configured:
+            cls._configure_logger(name, log_dir)
+        return logger
+
+    @classmethod
+    def _configure_logger(cls, name: str, log_dir: str):
+        """
+        配置 loguru 日志处理器
         
         Args:
             name: 日志名称
             log_dir: 日志目录
-            
-        Returns:
-            logging.Logger 实例
         """
-        if name in cls._loggers:
+        # 移除默认的 stderr handler
-            return cls._loggers[name]
+        logger.remove()
 
         # 创建日志目录
         log_path = Path(log_dir)
         log_path.mkdir(parents=True, exist_ok=True)
 
-        # 创建 logger
+        # 控制台 Handler - 彩色输出
-        logger = logging.getLogger(name)
+        logger.add(
-        logger.setLevel(logging.DEBUG)
+            sink=sys.stderr,
-
+            level="INFO",
-        # 避免重复添加 handler
+            format="<green>{time:YYYY-MM-DD HH:mm:ss}</green> [<cyan>{thread.name}</cyan>] <level>{level: <5}</level> <blue>{name}</blue> - <level>{message}</level>",
-        if logger.handlers:
+            colorize=True
-            cls._loggers[name] = logger
-            return logger
-
-        # 日志格式
-        formatter = logging.Formatter(
-            '%(asctime)s [%(threadName)s] %(levelname)-5s %(name)s - %(message)s',
-            datefmt='%Y-%m-%d %H:%M:%S'
         )
 
-        # 控制台 Handler
+        # 文件 Handler - 按大小分割，Windows 兼容
-        console_handler = logging.StreamHandler()
-        console_handler.setLevel(logging.INFO)
-        console_handler.setFormatter(formatter)
-        logger.addHandler(console_handler)
-
-        # 文件 Handler - 按天分割
         log_file = log_path / f"{name}.log"
-        file_handler = TimedRotatingFileHandler(
+        logger.add(
-            filename=str(log_file),
+            sink=str(log_file),
-            when='midnight',
+            level="DEBUG",
-            interval=1,
+            format="{time:YYYY-MM-DD HH:mm:ss} [{thread.name}] {level: <5} {name} - {message}",
-            backupCount=7,
+            rotation="50 MB",  # 按大小轮转，避免Windows文件锁定问题
-            encoding='utf-8'
+            retention="7 days",  # 保留7天
+            compression="zip",  # 压缩旧日志文件
+            encoding="utf-8",
+            enqueue=True,  # 异步写入，避免文件锁定
+            delay=True,  # 延迟打开文件，减少锁定时间
+            backtrace=True,  # 完整堆栈跟踪
+            diagnose=True  # 详细错误诊断
         )
-        file_handler.setLevel(logging.DEBUG)
-        file_handler.setFormatter(formatter)
 
-        # 设置日志文件命名格式
+        cls._configured = True
-        file_handler.suffix = "%Y-%m-%d.log"
-
-        logger.addHandler(file_handler)
-
-        cls._loggers[name] = logger
-        return logger
 
 
 # 便捷函数
-def get_logger(name: str = "algorithm", log_dir: str = "logs") -> logging.Logger:
+def get_logger(name: str = "algorithm", log_dir: str = "logs"):
     """
     获取日志记录器的便捷函数
     
@@ -84,6 +81,6 @@ def get_logger(name: str = "algorithm", log_dir: str = "logs") -> logging.Logger
         log_dir: 日志目录
         
     Returns:
-        logging.Logger 实例
+        loguru.logger 实例
     """
     return LoggerManager.get_logger(name, log_dir)

requirements.txt

@@ -8,3 +8,4 @@ Pillow == 12.2.0
 pyyaml == 6.0.3
 fastapi == 0.136.3
 uvicorn[standard] == 0.48.0
+loguru == 0.7.3