chore: ruff lint 修复 + 第一优先级全部完成

tests/test_ingest.py

@@ -4,8 +4,8 @@ from pathlib import Path
 
 import pytest
 
-from src.core.splitters import MarkdownSplitter
 from src.core.ingest import DocumentIngestor
+from src.core.splitters import MarkdownSplitter
 
 
 class TestMarkdownSplitter:
@@ -122,7 +122,6 @@ class TestIngestorIntegration:
         from src.core.config import EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
 
         db = VectorDB(persist_dir=str(tmp_path))
         embedder = create_embedder(EmbedConfig(mode="local"))
@@ -137,13 +136,12 @@ class TestIngestorIntegration:
         from src.core.config import EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
 
         db = VectorDB(persist_dir=str(tmp_path))
         embedder = create_embedder(EmbedConfig(mode="local"))
         ingestor = DocumentIngestor(db, embedder, "test_dedup")
 
-        c1 = ingestor.ingest_content("# A", "dup.md")
+        ingestor.ingest_content("# A", "dup.md")
         c2 = ingestor.ingest_content("# B", "dup.md")
         assert ingestor.collection.count() == c2
 
@@ -156,7 +154,6 @@ class TestIngestFile:
         from src.core.config import EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
 
         md_file = tmp_path / "hello.md"
         md_file.write_text("# 测试\n这是测试内容。", encoding="utf-8")
@@ -174,7 +171,6 @@ class TestIngestFile:
         from src.core.config import EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
 
         txt_file = tmp_path / "notes.txt"
         txt_file.write_text("这是一段纯文本内容。\n\n第二段内容在这里。", encoding="utf-8")
@@ -195,7 +191,6 @@ class TestIngestDirectory:
         from src.core.config import EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
 
         (tmp_path / "a.md").write_text("# A\n内容 A", encoding="utf-8")
         (tmp_path / "b.txt").write_text("内容 B", encoding="utf-8")
@@ -213,7 +208,6 @@ class TestIngestDirectory:
         from src.core.config import EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
 
         db = VectorDB(persist_dir=str(tmp_path / "db"))
         embedder = create_embedder(EmbedConfig(mode="local"))
@@ -228,10 +222,9 @@ class TestIncrementalIngest:
 
     def test_ingest_file_incremental_skips_unchanged(self, tmp_path):
         """增量模式: 未修改的文件跳过入库."""
-        from src.core.config import EmbedConfig, ChunkConfig
+        from src.core.config import ChunkConfig, EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
         from src.core.file_tracker import FileTracker
 
         file = tmp_path / "stable.md"
@@ -251,10 +244,9 @@ class TestIncrementalIngest:
 
     def test_ingest_file_incremental_reingests_modified(self, tmp_path):
         """增量模式: 修改后的文件重新入库."""
-        from src.core.config import EmbedConfig, ChunkConfig
+        from src.core.config import ChunkConfig, EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
         from src.core.file_tracker import FileTracker
 
         file = tmp_path / "changing.md"
@@ -275,10 +267,9 @@ class TestIncrementalIngest:
 
     def test_ingest_file_force_mode_always_reingests(self, tmp_path):
         """force=True 时始终重新入库（忽略 tracker）."""
-        from src.core.config import EmbedConfig, ChunkConfig
+        from src.core.config import ChunkConfig, EmbedConfig
         from src.core.db import VectorDB
         from src.core.embedder import create_embedder
-        from src.core.ingest import DocumentIngestor
         from src.core.file_tracker import FileTracker
 
         file = tmp_path / "force.md"