fix somethings

backend/tests/perception/test_llm_pipeline.py

@@ -0,0 +1,77 @@
+"""Unit tests for LlmPipeline — mock LLM client and embedding provider."""
+from __future__ import annotations
+from unittest.mock import MagicMock, patch
+import json
+import pytest
+
+
+def _make_pipeline():
+    with patch("app.infrastructure.perception.llm_pipeline.get_llm_client") as mock_llm_fn, \
+         patch("app.infrastructure.perception.llm_pipeline.OpenAICompatibleEmbeddingProvider") as mock_emb_cls:
+
+        mock_client = MagicMock()
+        mock_client.chat.return_value = MagicMock(content='{"obligations":[{"text":"test obligation","deontic":"must","subject":"OEM","object":"system","condition":""}],"deadlines":[{"date":"2026-07-01","description":"实施截止"}],"scope":"适用于M1类车辆","penalties":"罚款","impact_level":"high"}')
+        mock_llm_fn.return_value = mock_client
+
+        mock_emb = MagicMock()
+        mock_emb.embed_texts.return_value = [[0.1] * 1024, [0.9] * 1024]
+        mock_emb_cls.return_value = mock_emb
+
+        from app.infrastructure.perception.llm_pipeline import LlmPipeline
+        return LlmPipeline(), mock_client, mock_emb
+
+
+def test_extract_structure_returns_dict():
+    pipeline, mock_client, _ = _make_pipeline()
+    event = {
+        "id": "evt-001",
+        "standard_code": "GB 18384-2025",
+        "title": "电动汽车安全要求",
+        "summary": "新增 IP67 级别防护",
+        "source_label": "CATARC",
+        "tags": ["电池安全"],
+    }
+    result = pipeline.extract_structure(event)
+    assert isinstance(result, dict)
+    assert "obligations" in result
+    assert "impact_level" in result
+
+
+def test_assess_impact_returns_list():
+    pipeline, mock_client, _ = _make_pipeline()
+    mock_client.chat.return_value = MagicMock(content='[{"doc_id":"d1","doc_name":"Safety Manual","score":0.85,"key_clauses":"§4.2","recommendation":"更新第4章"}]')
+    mock_retrieval = MagicMock()
+    chunk = MagicMock()
+    chunk.doc_id = "d1"
+    chunk.doc_title = "Safety Manual"
+    chunk.score = 0.85
+    chunk.text = "relevant text"
+    chunk.section_title = "§4.2"
+    mock_retrieval.retrieve.return_value = [chunk]
+    event = {
+        "standard_code": "GB 18384-2025",
+        "title": "电动汽车安全要求",
+        "obligations": [{"text": "OEM shall comply"}],
+    }
+    result = pipeline.assess_impact(event, mock_retrieval)
+    assert isinstance(result, list)
+
+
+def test_compute_diff_no_change():
+    pipeline, _, mock_emb = _make_pipeline()
+    mock_emb.embed_texts.return_value = [[0.5] * 1024, [0.5] * 1024]
+    result = pipeline.compute_diff("paragraph one", "paragraph one")
+    assert isinstance(result, dict)
+    assert "changed_sections" in result
+    assert "change_summary" in result
+
+
+def test_compute_diff_detects_change():
+    pipeline, mock_client, mock_emb = _make_pipeline()
+    mock_emb.embed_texts.return_value = [
+        [1.0] + [0.0] * 1023,
+        [0.0] + [1.0] + [0.0] * 1022,
+    ]
+    mock_client.chat.return_value = MagicMock(content='{"change_type":"tightened","summary":"Requirement tightened"}')
+    result = pipeline.compute_diff("old paragraph text", "new tighter requirement text")
+    assert isinstance(result["changed_sections"], list)