feat: 添加视频生成功能增强和多维度计费系统适配

- 视频生成: 增强 video_handler，重构 task_poller，新增 telemetry
- 计费系统: 适配新的 signature 格式，支持 video 任务类型回退
- 数据库迁移: 添加 api_family/endpoint_kind 字段和 video_formats

tests/services/billing/test_dimension_collector_service.py

@@ -1,7 +1,10 @@
+from unittest.mock import MagicMock
+
 from src.models.database import DimensionCollector
 from src.services.billing.dimension_collector_service import (
     DimensionCollectInput,
     DimensionCollectorRuntime,
+    DimensionCollectorService,
 )
 
 
@@ -10,7 +13,7 @@ class TestDimensionCollectorRuntime:
         runtime = DimensionCollectorRuntime()
         collectors = [
             DimensionCollector(
-                api_format="OPENAI",
+                api_format="openai:chat",
                 task_type="chat",
                 dimension_name="input_tokens",
                 source_type="response",
@@ -20,7 +23,7 @@ class TestDimensionCollectorRuntime:
                 is_enabled=True,
             ),
             DimensionCollector(
-                api_format="OPENAI",
+                api_format="openai:chat",
                 task_type="chat",
                 dimension_name="input_tokens",
                 source_type="response",
@@ -42,7 +45,7 @@ class TestDimensionCollectorRuntime:
         runtime = DimensionCollectorRuntime()
         collectors = [
             DimensionCollector(
-                api_format="GEMINI",
+                api_format="gemini:video",
                 task_type="video",
                 dimension_name="file_size_mb",
                 source_type="metadata",
@@ -63,7 +66,7 @@ class TestDimensionCollectorRuntime:
         runtime = DimensionCollectorRuntime()
         collectors = [
             DimensionCollector(
-                api_format="CLAUDE",
+                api_format="claude:chat",
                 task_type="chat",
                 dimension_name="input_tokens",
                 source_type="request",
@@ -73,7 +76,7 @@ class TestDimensionCollectorRuntime:
                 is_enabled=True,
             ),
             DimensionCollector(
-                api_format="CLAUDE",
+                api_format="claude:chat",
                 task_type="chat",
                 dimension_name="cache_read_tokens",
                 source_type="request",
@@ -83,7 +86,7 @@ class TestDimensionCollectorRuntime:
                 is_enabled=True,
             ),
             DimensionCollector(
-                api_format="CLAUDE",
+                api_format="claude:chat",
                 task_type="chat",
                 dimension_name="total_input_tokens",
                 source_type="computed",
@@ -103,3 +106,56 @@ class TestDimensionCollectorRuntime:
         assert dims["input_tokens"] == 100
         assert dims["cache_read_tokens"] == 20
         assert dims["total_input_tokens"] == 120
+
+
+class TestDimensionCollectorService:
+    def test_video_fallback_merges_base_collectors(self) -> None:
+        db = MagicMock()
+
+        video_collectors = [
+            DimensionCollector(
+                api_format="openai:video",
+                task_type="video",
+                dimension_name="duration_seconds",
+                source_type="metadata",
+                source_path="task.duration_seconds",
+                value_type="int",
+                priority=0,
+                is_enabled=True,
+            )
+        ]
+        base_collectors = [
+            # Should be kept (dimension not present in video_collectors)
+            DimensionCollector(
+                api_format="openai:chat",
+                task_type="video",
+                dimension_name="resolution",
+                source_type="metadata",
+                source_path="task.resolution",
+                value_type="string",
+                priority=0,
+                is_enabled=True,
+            ),
+            # Should be ignored (dimension already present in video_collectors)
+            DimensionCollector(
+                api_format="openai:chat",
+                task_type="video",
+                dimension_name="duration_seconds",
+                source_type="metadata",
+                source_path="task.duration_seconds",
+                value_type="int",
+                priority=0,
+                is_enabled=True,
+            ),
+        ]
+
+        q1 = MagicMock()
+        q1.filter.return_value.all.return_value = video_collectors
+        q2 = MagicMock()
+        q2.filter.return_value.all.return_value = base_collectors
+        db.query.side_effect = [q1, q2]
+
+        svc = DimensionCollectorService(db)
+        result = svc.list_enabled_collectors(api_format="openai:video", task_type="video")
+
+        assert [c.dimension_name for c in result] == ["duration_seconds", "resolution"]