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🧪 Testing improvement for generate_summary (#270)
* test: add unit tests for generate_summary Added comprehensive unit tests for the generate_summary function in src/codeweaver/server/agent_api/search/response.py. Tests cover: - Empty match list handling - Standard summary generation with match count and intent - Top file name extraction and limiting to 3 unique files - Handling of duplicate file names - 1000-character truncation enforcement Co-authored-by: bashandbone <89049923+bashandbone@users.noreply.github.com> * test: update generate_summary tests with spec and tight assertions - Use a helper to create `CodeMatch` mocks with `spec` to mirror the actual interface and avoid attribute drift. - Tighten assertions for the truncation test to verify exact length (1000) and content consistency (prefix/suffix). - Ensure no unintended changes to `uv.lock`. Co-authored-by: bashandbone <89049923+bashandbone@users.noreply.github.com> --------- Signed-off-by: Adam Poulemanos <89049923+bashandbone@users.noreply.github.com> Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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‎tests/unit/server/agent_api/search/test_response.py‎

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#
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# SPDX-License-Identifier: MIT OR Apache-2.0
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from pathlib import Path
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from unittest.mock import patch
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"""Unit tests for response summary generation in response.py."""
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from __future__ import annotations
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from unittest.mock import MagicMock
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import pytest
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from codeweaver.core import (
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ChunkKind,
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CodeChunk,
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ConfigLanguage,
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DiscoveredFile,
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ExtCategory,
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SearchStrategy,
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SemanticSearchLanguage,
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Span,
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)
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from codeweaver.core.utils import uuid7
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from codeweaver.server.agent_api.search.intent import IntentType
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from codeweaver.server.agent_api.search.response import (
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build_success_response,
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calculate_token_count,
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extract_languages,
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generate_summary,
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)
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from codeweaver.server.agent_api.search.types import CodeMatch, CodeMatchType
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@pytest.fixture
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def mock_get_indexer_state_info():
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with patch(
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"codeweaver.server.agent_api.search.response.get_indexer_state_info"
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) as mock:
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mock.return_value = ("unknown", None)
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yield mock
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@pytest.mark.unit
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@pytest.mark.parametrize(
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"strategy,expected_mode,expected_status,expected_warning",
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[
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(SearchStrategy.HYBRID_SEARCH, "hybrid", "success", None),
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(
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SearchStrategy.DENSE_ONLY,
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"dense_only",
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"success",
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"Sparse embeddings unavailable - using dense search only",
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),
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(
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SearchStrategy.SPARSE_ONLY,
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"sparse_only",
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"partial",
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"Dense embeddings unavailable - using sparse search only (degraded mode)",
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),
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(
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SearchStrategy.KEYWORD_FALLBACK,
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"sparse_only",
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"partial",
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"Dense embeddings unavailable - using sparse search only (degraded mode)",
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),
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],
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)
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def test_build_success_response_search_modes(
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strategy, expected_mode, expected_status, expected_warning, mock_get_indexer_state_info
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):
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"""Test successful response building with different search strategies and modes."""
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response = build_success_response(
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code_matches=[],
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query="test",
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intent_type=IntentType.UNDERSTAND,
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total_candidates=0,
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token_limit=1000,
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execution_time_ms=10.0,
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strategies_used=[strategy],
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)
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assert response.search_mode == expected_mode
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assert response.status == expected_status
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if expected_warning:
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assert expected_warning in response.warnings
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else:
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assert not response.warnings
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@pytest.fixture
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def sample_code_matches():
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chunk1_id = uuid7()
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chunk2_id = uuid7()
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chunk3_id = uuid7()
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return [
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CodeMatch(
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file=DiscoveredFile(
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path=Path("src/main.py"),
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ext_category=ExtCategory(
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language=SemanticSearchLanguage.PYTHON, kind=ChunkKind.CODE
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),
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mime_type="text/x-python",
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),
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content=CodeChunk(
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chunk_id=chunk1_id,
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chunk_name="main.py:hello_world",
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file_path=Path("src/main.py"),
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language="python",
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content="def hello_world():\n print('Hello World!')",
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line_range=Span(start=1, end=2, source_id=chunk1_id),
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),
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span=Span(start=1, end=2, source_id=chunk1_id),
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relevance_score=0.9,
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match_type=CodeMatchType.SEMANTIC,
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),
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CodeMatch(
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file=DiscoveredFile(
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path=Path("src/utils.py"),
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ext_category=ExtCategory(
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language=SemanticSearchLanguage.PYTHON, kind=ChunkKind.CODE
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),
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mime_type="text/x-python",
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),
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content=CodeChunk(
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chunk_id=chunk2_id,
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chunk_name="utils.py:helper",
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file_path=Path("src/utils.py"),
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language="python",
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content="def helper():\n pass",
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line_range=Span(start=1, end=2, source_id=chunk2_id),
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),
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span=Span(start=1, end=2, source_id=chunk2_id),
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relevance_score=0.8,
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match_type=CodeMatchType.SEMANTIC,
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),
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CodeMatch(
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file=DiscoveredFile(
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path=Path("config.json"),
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ext_category=ExtCategory(
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language=ConfigLanguage.JSON, kind=ChunkKind.CONFIG
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),
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mime_type="application/json",
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),
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content=CodeChunk(
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chunk_id=chunk3_id,
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chunk_name="config.json",
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file_path=Path("config.json"),
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language="json",
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content='{"key": "value"}',
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line_range=Span(start=1, end=1, source_id=chunk3_id),
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),
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span=Span(start=1, end=1, source_id=chunk3_id),
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relevance_score=0.5,
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match_type=CodeMatchType.KEYWORD,
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),
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]
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@pytest.mark.unit
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def test_calculate_token_count(sample_code_matches):
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"""Test token count calculation."""
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# First item: 4 words * 1.3 ≈ 5.2, rounded/overhead -> 6 tokens
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# Second item: 3 words * 1.3 = 3.9 -> 3
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# Third item: 2 words * 1.3 = 2.6 -> 2
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count = calculate_token_count(sample_code_matches, token_limit=1000)
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assert count == 11
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# Test limit
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count_capped = calculate_token_count(sample_code_matches, token_limit=10)
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assert count_capped == 10
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@pytest.mark.unit
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def test_generate_summary_empty():
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"""Test summary generation with empty matches."""
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summary = generate_summary([], IntentType.UNDERSTAND, "test query")
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assert summary == "No matches found for query: 'test query'"
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@pytest.mark.unit
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def test_generate_summary_populated(sample_code_matches):
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"""Test summary generation with matches."""
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summary = generate_summary(sample_code_matches, IntentType.DEBUG, "fix bug")
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assert "Found 3 relevant matches for debug query" in summary
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assert "Top results in" in summary
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assert "main.py" in summary
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assert "utils.py" in summary
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@pytest.mark.unit
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def test_extract_languages(sample_code_matches):
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"""Test language extraction filters out config languages."""
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languages = extract_languages(sample_code_matches)
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assert len(languages) == 1
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assert languages[0] == SemanticSearchLanguage.PYTHON
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@pytest.mark.unit
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@patch("codeweaver.server.agent_api.search.response.FindCodeResponseSummary")
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def test_build_success_response_with_matches(mock_response_summary, mock_get_indexer_state_info, sample_code_matches):
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"""Test full build_success_response integration with CodeMatch objects."""
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# We patch FindCodeResponseSummary so we can just verify the values passed to it, bypassing pydantic validation of fake objects
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mock_response_summary.return_value = "MockedResponse"
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response = build_success_response(
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code_matches=sample_code_matches,
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query="test code",
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intent_type=IntentType.IMPLEMENT,
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total_candidates=10,
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token_limit=1000,
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execution_time_ms=15.5,
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strategies_used=[SearchStrategy.HYBRID_SEARCH],
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)
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assert response == "MockedResponse"
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mock_response_summary.assert_called_once()
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kwargs = mock_response_summary.call_args[1]
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assert kwargs["search_mode"] == "hybrid"
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assert kwargs["status"] == "success"
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assert len(kwargs["matches"]) == 3
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assert kwargs["total_matches"] == 10
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assert kwargs["total_results"] == 3
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assert "Found 3 relevant matches for implement query" in kwargs["summary"]
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assert kwargs["token_count"] == 11
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assert kwargs["execution_time_ms"] == 15.5
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assert len(kwargs["languages_found"]) == 1
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assert kwargs["languages_found"][0] == SemanticSearchLanguage.PYTHON
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from codeweaver.server.agent_api.search.response import generate_summary
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from codeweaver.server.agent_api.search.types import CodeMatch
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def create_mock_match(file_name: str) -> MagicMock:
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"""Helper to create a mock CodeMatch with a nested file.path.name.
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Uses spec=CodeMatch to ensure the mock mirrors the actual interface.
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"""
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mock_match = MagicMock(spec=CodeMatch)
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mock_file = MagicMock()
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mock_path = MagicMock()
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mock_path.name = file_name
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mock_file.path = mock_path
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mock_match.file = mock_file
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return mock_match
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class TestGenerateSummary:
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"""Test suite for generate_summary function."""
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@pytest.mark.unit
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def test_generate_summary_empty_results(self) -> None:
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"""Test summary generation when no matches are found."""
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query = "how to do something"
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summary = generate_summary([], IntentType.UNDERSTAND, query)
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assert summary == f"No matches found for query: '{query}'"
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@pytest.mark.unit
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def test_generate_summary_with_results(self) -> None:
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"""Test summary generation with search results."""
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mock_match1 = create_mock_match("auth.py")
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mock_match2 = create_mock_match("models.py")
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matches = [mock_match1, mock_match2]
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query = "find auth models"
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summary = generate_summary(matches, IntentType.UNDERSTAND, query)
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assert "Found 2 relevant matches" in summary
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assert "for understand query" in summary
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assert "Top results in: " in summary
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assert "auth.py" in summary
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assert "models.py" in summary
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@pytest.mark.unit
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def test_generate_summary_unique_files_limit(self) -> None:
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"""Test that summary only includes up to 3 unique file names from top results."""
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# Create 5 matches with different files
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matches = [create_mock_match(f"file_{i}.py") for i in range(5)]
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summary = generate_summary(matches, IntentType.IMPLEMENT, "test query")
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# Should mention "Found 5 relevant matches"
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assert "Found 5 relevant matches" in summary
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# Should only list first 3 files: file_0.py, file_1.py, file_2.py
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assert "file_0.py" in summary
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assert "file_1.py" in summary
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assert "file_2.py" in summary
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assert "file_3.py" not in summary
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@pytest.mark.unit
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def test_generate_summary_duplicate_files(self) -> None:
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"""Test that summary handles duplicate file names gracefully."""
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# 3 matches in the same file
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m1 = create_mock_match("shared.py")
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m2 = create_mock_match("shared.py")
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m3 = create_mock_match("other.py")
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matches = [m1, m2, m3]
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summary = generate_summary(matches, IntentType.DEBUG, "fix bug")
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assert "Found 3 relevant matches" in summary
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# Should only list "shared.py" once and "other.py"
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assert "shared.py" in summary
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assert "other.py" in summary
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# Verify it doesn't look like "shared.py, shared.py, other.py"
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assert summary.count("shared.py") == 1
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@pytest.mark.unit
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def test_generate_summary_truncation(self) -> None:
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"""Test that summary is truncated to 1000 characters."""
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# Create a match with an extremely long file name to trigger truncation
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long_name = "a" * 2000
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m = create_mock_match(long_name)
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summary = generate_summary([m], IntentType.OPTIMIZE, "fast")
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# Assert exact maximum length
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assert len(summary) == 1000
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# Verify it starts with the expected prefix
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expected_prefix = "Found 1 relevant matches for optimize query. Top results in: "
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assert summary.startswith(expected_prefix)
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# Verify it ends with the truncated content of the long name
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remaining_length = 1000 - len(expected_prefix)
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expected_suffix = long_name[:remaining_length]
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assert summary.endswith(expected_suffix)

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