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470 lines
15 KiB
Python
470 lines
15 KiB
Python
"""Extended tests for report_generator.py - covering factory function,
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structure parsing edge cases, and source section removal."""
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from unittest.mock import Mock, patch
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class TestGetReportGenerator:
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"""Tests for get_report_generator factory function."""
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def test_returns_integrated_report_generator(self):
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"""get_report_generator should return IntegratedReportGenerator."""
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from local_deep_research.report_generator import (
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get_report_generator,
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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result = get_report_generator(search_system=mock_search_system)
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assert isinstance(result, IntegratedReportGenerator)
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def test_passes_search_system_through(self):
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"""get_report_generator should pass search_system to constructor."""
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from local_deep_research.report_generator import get_report_generator
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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result = get_report_generator(search_system=mock_search_system)
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assert result.search_system is mock_search_system
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def test_none_search_system_uses_fallback(self):
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"""get_report_generator with None should use fallback initialization."""
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from local_deep_research.report_generator import get_report_generator
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with patch(
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"local_deep_research.report_generator.get_llm"
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) as mock_get_llm:
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mock_llm = Mock()
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mock_get_llm.return_value = mock_llm
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with patch(
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"local_deep_research.report_generator.AdvancedSearchSystem"
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) as mock_system_cls:
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mock_system_cls.return_value = Mock()
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result = get_report_generator(search_system=None)
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assert result is not None
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class TestDetermineReportStructureParsing:
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"""Tests for structure parsing in _determine_report_structure."""
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def _create_generator(self, llm_response):
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"""Helper to create a generator with mocked LLM."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_llm = Mock()
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mock_llm.invoke.return_value = Mock(content=llm_response)
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mock_search_system = Mock()
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mock_search_system.model = mock_llm
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gen = IntegratedReportGenerator(search_system=mock_search_system)
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gen.model = mock_llm
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return gen
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def test_parses_well_formed_structure(self):
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"""Well-formed STRUCTURE response should be parsed correctly."""
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llm_response = """
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STRUCTURE
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1. Introduction
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- Overview | Provide project overview
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- Background | Historical context
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2. Technical Details
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- Architecture | System architecture
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test content"}, "test query"
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)
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assert len(structure) == 2
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assert structure[0]["name"] == "Introduction"
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assert len(structure[0]["subsections"]) == 2
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assert structure[0]["subsections"][0]["name"] == "Overview"
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assert (
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structure[0]["subsections"][0]["purpose"]
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== "Provide project overview"
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)
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def test_subsection_without_purpose_gets_default(self):
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"""Subsection without pipe separator should get default purpose."""
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llm_response = """
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STRUCTURE
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1. Main Section
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- Subsection Without Purpose
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert len(structure[0]["subsections"]) == 1
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assert (
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"Provide detailed information"
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in structure[0]["subsections"][0]["purpose"]
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)
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def test_removes_source_section_at_end(self):
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"""Source-related last section should be removed."""
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llm_response = """
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STRUCTURE
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1. Content Section
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- Details | Main details
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2. Sources and References
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- Bibliography | Citation list
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert len(structure) == 1
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assert structure[0]["name"] == "Content Section"
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def test_keeps_source_keyword_in_middle_section(self):
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"""Source keyword in non-last section should be kept."""
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llm_response = """
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STRUCTURE
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1. Open Source Software
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- Overview | Open source overview
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2. Conclusion
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- Summary | Final summary
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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# "Open Source Software" is not the last section, so it should be kept
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assert len(structure) == 2
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assert structure[0]["name"] == "Open Source Software"
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def test_removes_bibliography_section(self):
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"""Bibliography section at end should be removed."""
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llm_response = """
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STRUCTURE
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1. Analysis
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- Details | Analysis details
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2. Bibliography
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- References | All references
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert len(structure) == 1
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assert structure[0]["name"] == "Analysis"
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def test_removes_citation_section(self):
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"""Citation section at end should be removed."""
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llm_response = """
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STRUCTURE
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1. Content
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- Main | Main content
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2. Citations
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- List | Citation list
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert len(structure) == 1
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def test_empty_response_returns_empty_structure(self):
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"""Empty LLM response should return empty structure."""
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gen = self._create_generator("")
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert structure == []
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def test_response_without_markers(self):
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"""Response without STRUCTURE/END_STRUCTURE markers should still parse."""
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llm_response = """
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1. First Section
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- Sub A | Purpose A
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2. Second Section
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- Sub B | Purpose B
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert len(structure) == 2
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def test_subsection_with_multiple_pipes(self):
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"""Subsection with multiple | characters should only split on first."""
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llm_response = """
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STRUCTURE
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1. Section
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- Sub | Purpose with | pipes | in it
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert structure[0]["subsections"][0]["name"] == "Sub"
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assert "pipes" in structure[0]["subsections"][0]["purpose"]
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def test_strips_think_tags_from_response(self):
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"""Think tags in LLM response should be stripped."""
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llm_response = """<think>Let me think about this...</think>
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STRUCTURE
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1. Real Content
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- Overview | Content overview
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END_STRUCTURE
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"""
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gen = self._create_generator(llm_response)
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structure = gen._determine_report_structure(
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{"current_knowledge": "test"}, "test query"
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)
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assert len(structure) == 1
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assert structure[0]["name"] == "Real Content"
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class TestTruncateAtSentenceBoundary:
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"""Tests for _truncate_at_sentence_boundary."""
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def _create_generator(self):
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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return IntegratedReportGenerator(search_system=mock_search_system)
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def test_no_truncation_when_under_limit(self):
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"""Text under the limit should not be truncated."""
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gen = self._create_generator()
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text = "Short text."
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result = gen._truncate_at_sentence_boundary(text, 100)
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assert result == text
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def test_truncates_at_period(self):
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"""Should truncate at last period before limit."""
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gen = self._create_generator()
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text = (
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"First sentence. Second sentence. Third sentence that is very long."
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)
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result = gen._truncate_at_sentence_boundary(text, 35)
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assert result.startswith("First sentence. Second sentence.")
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assert "[...truncated]" in result
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def test_truncates_at_exclamation(self):
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"""Should truncate at exclamation mark."""
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gen = self._create_generator()
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text = (
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"Amazing! This is great! But this part is too long for the limit."
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)
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result = gen._truncate_at_sentence_boundary(text, 25)
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assert "!" in result.split("[...truncated]")[0]
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def test_truncates_at_question_mark(self):
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"""Should truncate at question mark."""
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gen = self._create_generator()
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text = "What happened? Then more text that goes past the boundary by a lot."
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result = gen._truncate_at_sentence_boundary(text, 20)
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assert "?" in result.split("[...truncated]")[0]
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def test_hard_truncation_fallback(self):
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"""Should hard-truncate when no sentence boundary preserves 80%."""
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gen = self._create_generator()
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text = "A" * 100 # No sentence boundaries
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result = gen._truncate_at_sentence_boundary(text, 50)
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assert len(result.split("\n")[0]) == 50
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assert "[...truncated]" in result
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class TestBuildPreviousContext:
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"""Tests for _build_previous_context."""
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def _create_generator(self):
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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return IntegratedReportGenerator(search_system=mock_search_system)
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def test_empty_findings_returns_empty(self):
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"""Empty accumulated findings should return empty string."""
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gen = self._create_generator()
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result = gen._build_previous_context([])
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assert result == ""
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def test_limits_to_max_context_sections(self):
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"""Should only include last max_context_sections findings."""
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gen = self._create_generator()
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gen.max_context_sections = 2
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findings = [f"Finding {i}" for i in range(5)]
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result = gen._build_previous_context(findings)
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assert "Finding 3" in result
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assert "Finding 4" in result
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assert "Finding 0" not in result
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def test_includes_do_not_repeat_instruction(self):
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"""Context should include DO NOT REPEAT instruction."""
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gen = self._create_generator()
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result = gen._build_previous_context(["Some finding"])
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assert "DO NOT REPEAT" in result
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assert "CRITICAL" in result
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def test_truncation_for_long_context(self):
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"""Very long context should be truncated."""
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gen = self._create_generator()
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gen.max_context_chars = 100
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long_finding = "A" * 200
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result = gen._build_previous_context([long_finding])
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assert "[...truncated]" in result
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class TestGenerateErrorReport:
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"""Tests for _generate_error_report."""
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def test_error_report_format(self):
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"""Error report should contain query and error message."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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gen = IntegratedReportGenerator(search_system=mock_search_system)
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result = gen._generate_error_report("test query", "Something failed")
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assert "test query" in result
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assert "Something failed" in result
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assert "ERROR REPORT" in result
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def test_error_report_with_special_characters(self):
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"""Error report should handle special characters."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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gen = IntegratedReportGenerator(search_system=mock_search_system)
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result = gen._generate_error_report(
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"query with <html> & special chars", "Error: 'unexpected' \"token\""
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)
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assert "<html>" in result
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assert "unexpected" in result
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class TestIntegratedReportGeneratorInit:
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"""Tests for constructor edge cases."""
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def test_init_with_llm_only(self):
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"""Constructor with only LLM should create search system."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_llm = Mock()
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with patch(
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"local_deep_research.report_generator.AdvancedSearchSystem"
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) as mock_system_cls:
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mock_system_cls.return_value = Mock()
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gen = IntegratedReportGenerator(llm=mock_llm)
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assert gen.model is mock_llm
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mock_system_cls.assert_called_once()
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def test_init_with_search_system_uses_system_llm(self):
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"""Constructor with search_system should use system's LLM."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_llm = Mock()
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mock_search_system = Mock()
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mock_search_system.model = mock_llm
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gen = IntegratedReportGenerator(search_system=mock_search_system)
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assert gen.model is mock_llm
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def test_init_with_custom_searches_per_section(self):
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"""Custom searches_per_section should be stored."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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gen = IntegratedReportGenerator(
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search_system=mock_search_system,
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searches_per_section=5,
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)
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assert gen.searches_per_section == 5
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def test_context_settings_from_snapshot(self):
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"""Settings snapshot should override default context settings."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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settings = {
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"report.max_context_sections": 5,
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"report.max_context_chars": 8000,
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}
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gen = IntegratedReportGenerator(
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search_system=mock_search_system,
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settings_snapshot=settings,
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)
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assert gen.max_context_sections == 5
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assert gen.max_context_chars == 8000
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def test_default_context_settings(self):
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"""Without settings snapshot, defaults should be used."""
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from local_deep_research.report_generator import (
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IntegratedReportGenerator,
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)
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mock_search_system = Mock()
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mock_search_system.model = Mock()
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gen = IntegratedReportGenerator(search_system=mock_search_system)
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assert gen.max_context_sections == 3
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assert gen.max_context_chars == 4000
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