vibe_data_ana/src/engines/__pycache__/requirement_understanding.cpython-311.pyc

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    AI-driven requirement understanding.
    
    Parses user's natural language requirement and converts abstract concepts
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    Args:
        user_input: User's requirement in natural language
        data_profile: Profile of the data to be analyzed
        template_path: Optional path to analysis template
        
    Returns:
        RequirementSpec with parsed objectives and constraints
        
    Requirements: FR-2.1, FR-2.2
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User Requirement: z 

Data Characteristics:
- Type: z
- Key Fields: z
- Columns: z
- Row Count: z
- Quality Score: a#

Please answer in JSON format:
1. What type of analysis does the user want?
2. What specific metrics need to be calculated?
3. Does the data support these analyses?
4. If not supported, how to adjust?

Return JSON with this structure:
{
    "objectives": [
        {
            "name": "objective name",
            "description": "detailed description",
            "metrics": ["metric1", "metric2"],
            "priority": 5
        }
    ],
    "constraints": ["constraint1", "constraint2"],
    "expected_outputs": ["output1", "output2"]
}
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    Requirements: FR-2.3
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    Requirements: FR-2.3
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