refactor: 客服agent的切片结构调整重构

tests/test_ingestion.py

@@ -1,6 +1,7 @@
 import unittest
 from unittest.mock import AsyncMock
 
+from rag.embedding import EMBEDDING_DIMENSION
 from rag.ingestion import ingest_document_atomic
 
 
@@ -35,7 +36,7 @@ class AtomicIngestionTests(unittest.IsolatedAsyncioTestCase):
     async def test_milvus_failure_cleans_up_partial_document_rows(self):
         milvus = AsyncMock()
         milvus.insert.side_effect = RuntimeError("insert down")
-        embedder = AsyncMock(return_value=[[0.0] * 768])
+        embedder = AsyncMock(return_value=[[0.0] * EMBEDDING_DIMENSION])
 
         with self.assertRaises(RuntimeError):
             await ingest_document_atomic(
@@ -49,7 +50,7 @@ class AtomicIngestionTests(unittest.IsolatedAsyncioTestCase):
 
     async def test_success_inserts_complete_document_rows(self):
         milvus = AsyncMock()
-        embedder = AsyncMock(return_value=[[0.0] * 768])
+        embedder = AsyncMock(return_value=[[0.0] * EMBEDDING_DIMENSION])
 
         result = await ingest_document_atomic(
             "plain text", "doc-4", "Policy", "fin_policy", "default",
@@ -62,7 +63,7 @@ class AtomicIngestionTests(unittest.IsolatedAsyncioTestCase):
 
     async def test_cleans_text_before_embedding_and_milvus_insert(self):
         milvus = AsyncMock()
-        embedder = AsyncMock(return_value=[[0.0] * 768, [0.0] * 768])
+        embedder = AsyncMock(return_value=[[0.0] * EMBEDDING_DIMENSION, [0.0] * EMBEDDING_DIMENSION])
 
         await ingest_document_atomic(
             "\ufeff基金名称：示例基金\r\n\r\n\r\n风险等级：R3\t ",