"""Unit tests for requirement understanding engine."""

import pytest
import tempfile
import os

from src.engines.requirement_understanding import (
    understand_requirement,
    parse_template,
    check_data_requirement_match,
    _fallback_requirement_understanding
)
from src.models.data_profile import DataProfile, ColumnInfo
from src.models.requirement_spec import RequirementSpec, AnalysisObjective


@pytest.fixture
def sample_data_profile():
    """Create a sample data profile for testing."""
    return DataProfile(
        file_path='test.csv',
        row_count=1000,
        column_count=5,
        columns=[
            ColumnInfo(
                name='created_at',
                dtype='datetime',
                missing_rate=0.0,
                unique_count=1000,
                sample_values=['2024-01-01', '2024-01-02'],
                statistics={}
            ),
            ColumnInfo(
                name='status',
                dtype='categorical',
                missing_rate=0.1,
                unique_count=5,
                sample_values=['open', 'closed', 'pending'],
                statistics={}
            ),
            ColumnInfo(
                name='type',
                dtype='categorical',
                missing_rate=0.0,
                unique_count=10,
                sample_values=['bug', 'feature'],
                statistics={}
            ),
            ColumnInfo(
                name='priority',
                dtype='numeric',
                missing_rate=0.0,
                unique_count=5,
                sample_values=[1, 2, 3, 4, 5],
                statistics={'mean': 3.0, 'std': 1.2}
            ),
            ColumnInfo(
                name='description',
                dtype='text',
                missing_rate=0.05,
                unique_count=950,
                sample_values=['Issue 1', 'Issue 2'],
                statistics={}
            )
        ],
        inferred_type='ticket',
        key_fields={'time': 'created_at', 'status': 'status', 'type': 'type'},
        quality_score=85.0,
        summary='Ticket data with 1000 rows and 5 columns'
    )


def test_understand_health_requirement(sample_data_profile):
    """Test understanding "健康度" requirement."""
    user_input = "我想了解工单的健康度"
    
    # Use fallback to avoid API dependency
    requirement = _fallback_requirement_understanding(user_input, sample_data_profile, None)
    
    # Verify basic structure
    assert isinstance(requirement, RequirementSpec)
    assert requirement.user_input == user_input
    assert len(requirement.objectives) > 0
    
    # Verify health-related objective exists
    health_objectives = [obj for obj in requirement.objectives if '健康' in obj.name]
    assert len(health_objectives) > 0
    
    # Verify objective has metrics
    health_obj = health_objectives[0]
    assert len(health_obj.metrics) > 0
    assert health_obj.priority >= 1 and health_obj.priority <= 5


def test_understand_trend_requirement(sample_data_profile):
    """Test understanding trend analysis requirement."""
    user_input = "分析趋势"
    
    requirement = _fallback_requirement_understanding(user_input, sample_data_profile, None)
    
    # Verify trend objective exists
    trend_objectives = [obj for obj in requirement.objectives if '趋势' in obj.name]
    assert len(trend_objectives) > 0
    
    # Verify metrics
    trend_obj = trend_objectives[0]
    assert len(trend_obj.metrics) > 0


def test_understand_distribution_requirement(sample_data_profile):
    """Test understanding distribution analysis requirement."""
    user_input = "查看分布情况"
    
    requirement = _fallback_requirement_understanding(user_input, sample_data_profile, None)
    
    # Verify distribution objective exists
    dist_objectives = [obj for obj in requirement.objectives if '分布' in obj.name]
    assert len(dist_objectives) > 0


def test_understand_generic_requirement(sample_data_profile):
    """Test understanding generic requirement without specific keywords."""
    user_input = "帮我分析一下"
    
    requirement = _fallback_requirement_understanding(user_input, sample_data_profile, None)
    
    # Should still generate at least one objective
    assert len(requirement.objectives) > 0
    
    # Should have default objective
    assert any('综合' in obj.name or 'analysis' in obj.name.lower() for obj in requirement.objectives)


def test_parse_template_with_sections():
    """Test parsing template with sections."""
    template_content = """# 分析报告

## 数据概览
这是数据概览部分

## 趋势分析
指标: 增长率, 变化趋势
图表: 时间序列图

## 分布分析
指标: 类别分布
图表: 柱状图, 饼图
"""
    
    with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False, encoding='utf-8') as f:
        f.write(template_content)
        template_path = f.name
    
    try:
        template_req = parse_template(template_path)
        
        # Verify sections
        assert len(template_req['sections']) >= 3
        assert '分析报告' in template_req['sections']
        assert '数据概览' in template_req['sections']
        
        # Verify metrics
        assert len(template_req['required_metrics']) >= 2
        
        # Verify charts
        assert len(template_req['required_charts']) >= 2
        
    finally:
        os.unlink(template_path)


def test_parse_nonexistent_template():
    """Test parsing non-existent template."""
    template_req = parse_template('nonexistent.md')
    
    # Should return empty structure
    assert template_req['sections'] == []
    assert template_req['required_metrics'] == []
    assert template_req['required_charts'] == []


def test_check_data_satisfies_requirement(sample_data_profile):
    """Test checking when data satisfies requirement."""
    # Create requirement that data can satisfy
    requirement = RequirementSpec(
        user_input="分析状态分布",
        objectives=[
            AnalysisObjective(
                name="状态分析",
                description="分析状态字段的分布",
                metrics=["状态分布"],
                priority=5
            )
        ]
    )
    
    match_result = check_data_requirement_match(requirement, sample_data_profile)
    
    # Should be satisfied
    assert match_result['can_proceed'] is True
    assert len(match_result['satisfied_objectives']) > 0


def test_check_data_missing_fields(sample_data_profile):
    """Test checking when data is missing required fields."""
    # Create requirement that needs fields not in data
    requirement = RequirementSpec(
        user_input="分析地理分布",
        objectives=[
            AnalysisObjective(
                name="地理分析",
                description="分析地理位置分布",
                metrics=["地理分布", "区域统计"],
                priority=5
            )
        ]
    )
    
    match_result = check_data_requirement_match(requirement, sample_data_profile)
    
    # Verify structure
    assert isinstance(match_result, dict)
    assert 'missing_fields' in match_result
    assert 'unsatisfied_objectives' in match_result


def test_check_time_based_requirement(sample_data_profile):
    """Test checking time-based requirement."""
    requirement = RequirementSpec(
        user_input="分析时间趋势",
        objectives=[
            AnalysisObjective(
                name="时间分析",
                description="分析随时间的变化",
                metrics=["时间序列", "趋势"],
                priority=5
            )
        ]
    )
    
    match_result = check_data_requirement_match(requirement, sample_data_profile)
    
    # Should be satisfied since we have datetime column
    assert match_result['can_proceed'] is True


def test_check_status_based_requirement(sample_data_profile):
    """Test checking status-based requirement."""
    requirement = RequirementSpec(
        user_input="分析状态",
        objectives=[
            AnalysisObjective(
                name="状态分析",
                description="分析状态字段",
                metrics=["状态分布", "状态变化"],
                priority=5
            )
        ]
    )
    
    match_result = check_data_requirement_match(requirement, sample_data_profile)
    
    # Should be satisfied since we have status column
    assert match_result['can_proceed'] is True
    assert len(match_result['satisfied_objectives']) > 0


def test_requirement_with_template(sample_data_profile):
    """Test requirement understanding with template."""
    template_content = """# 工单分析报告

## 状态分析
指标: 状态分布, 完成率

## 类型分析
指标: 类型分布
"""
    
    with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False, encoding='utf-8') as f:
        f.write(template_content)
        template_path = f.name
    
    try:
        requirement = _fallback_requirement_understanding(
            "按模板分析",
            sample_data_profile,
            template_path
        )
        
        # Verify template is included
        assert requirement.template_path == template_path
        assert requirement.template_requirements is not None
        
        # Verify template requirements structure
        assert 'sections' in requirement.template_requirements
        assert 'required_metrics' in requirement.template_requirements
        
    finally:
        os.unlink(template_path)


def test_multiple_objectives_priority():
    """Test that multiple objectives have proper priorities."""
    data_profile = DataProfile(
        file_path='test.csv',
        row_count=100,
        column_count=3,
        columns=[
            ColumnInfo(name='col1', dtype='numeric', missing_rate=0.0, unique_count=100),
            ColumnInfo(name='col2', dtype='categorical', missing_rate=0.0, unique_count=5),
            ColumnInfo(name='col3', dtype='datetime', missing_rate=0.0, unique_count=100)
        ],
        inferred_type='unknown',
        quality_score=90.0
    )
    
    requirement = _fallback_requirement_understanding(
        "完整分析，包括健康度和趋势",
        data_profile,
        None
    )
    
    # Should have multiple objectives
    assert len(requirement.objectives) >= 2
    
    # All priorities should be valid
    for obj in requirement.objectives:
        assert 1 <= obj.priority <= 5