# Configure elicitation session
session_config = {
    "decision": "Enterprise Software Selection",
    "criteria": [
        {"name": "Total Cost of Ownership", "unit": "USD", "direction": "minimize"},
        {"name": "Implementation Time", "unit": "months", "direction": "minimize"},
        {"name": "Functionality Fit", "unit": "percent", "direction": "maximize"},
        {"name": "Vendor Stability", "unit": "score", "direction": "maximize"},
        {"name": "Integration Capability", "unit": "score", "direction": "maximize"}
    ],
    "stakeholders": [
        {"id": "S1", "name": "CIO", "role": "Decision Maker", "weight": 0.3},
        {"id": "S2", "name": "CFO", "role": "Decision Maker", "weight": 0.3},
        {"id": "S3", "name": "IT Director", "role": "Technical Expert", "weight": 0.2},
        {"id": "S4", "name": "Business Lead", "role": "User Representative", "weight": 0.2}
    ],
    "elicitation_method": "swing_weights"
}

# Swing weight process
swing_weight_protocol = {
    "step_1_ranges": {
        "description": "Define worst and best levels for each criterion",
        "ranges": {
            "Total Cost of Ownership": {"worst": 2000000, "best": 500000},
            "Implementation Time": {"worst": 24, "best": 6},
            "Functionality Fit": {"worst": 60, "best": 95},
            "Vendor Stability": {"worst": 3, "best": 9},
            "Integration Capability": {"worst": 2, "best": 10}
        }
    },
    "step_2_reference": {
        "description": "Imagine all criteria at worst level. Which would you most want to swing to best?",
        "responses": {
            "S1": "Functionality Fit",
            "S2": "Total Cost of Ownership",
            "S3": "Integration Capability",
            "S4": "Functionality Fit"
        }
    },
    "step_3_relative_weights": {
        "description": "If most important swing = 100, rate the value of other swings",
        "responses": {
            "S1": {
                "Functionality Fit": 100,
                "Total Cost of Ownership": 80,
                "Integration Capability": 60,
                "Implementation Time": 40,
                "Vendor Stability": 30
            }
            # ... other stakeholders
        }
    }
}

# Trade-off elicitation
tradeoff_questions = {
    "format": "matching",
    "questions": [
        {
            "id": "TQ1",
            "question": "You can have software with 95% functionality fit. How much extra cost would you accept to maintain this level vs. 75% fit?",
            "criteria_pair": ["Functionality Fit", "Total Cost of Ownership"],
            "anchors": {"Functionality Fit": {"from": 75, "to": 95}}
        },
        {
            "id": "TQ2",
            "question": "Implementation in 6 months vs 12 months: how much more would you pay for the faster option?",
            "criteria_pair": ["Implementation Time", "Total Cost of Ownership"],
            "anchors": {"Implementation Time": {"from": 12, "to": 6}}
        }
    ]
}

# Check for consistency
consistency_check = {
    "method": "transitivity",
    "checks": [
        {
            "stakeholder": "S1",
            "issue": "weight_inconsistency",
            "details": "Cost weight (80) + Fit weight (100) implies Cost > Time, but trade-off suggests otherwise",
            "severity": "warning",
            "recommendation": "Revisit cost vs. time comparison"
        }
    ],
    "overall_consistency": 0.85
}

# Aggregate preferences
aggregation_config = {
    "method": "weighted_geometric_mean",
    "stakeholder_weights": {"S1": 0.3, "S2": 0.3, "S3": 0.2, "S4": 0.2},
    "individual_weights": {
        "S1": {"TCO": 0.26, "Time": 0.13, "Fit": 0.32, "Stability": 0.10, "Integration": 0.19},
        "S2": {"TCO": 0.35, "Time": 0.15, "Fit": 0.25, "Stability": 0.15, "Integration": 0.10},
        # ... etc.
    },
    "aggregated_weights": {
        "TCO": 0.29,
        "Time": 0.14,
        "Fit": 0.28,
        "Stability": 0.12,
        "Integration": 0.17
    },
    "disagreement_metrics": {
        "highest_variance_criterion": "Total Cost of Ownership",
        "coefficient_of_variation": 0.15
    }
}

{
  "session_config": {
    "decision": "string",
    "criteria": ["object"],
    "stakeholders": ["object"],
    "method": "string"
  },
  "elicitation_data": {
    "method": "swing|direct|tradeoff|pairwise",
    "responses": "object"
  },
  "aggregation_config": {
    "method": "geometric_mean|arithmetic_mean|majority",
    "stakeholder_weights": "object"
  }
}

{
  "individual_weights": {
    "stakeholder_id": {
      "criterion": "number"
    }
  },
  "aggregated_weights": {
    "criterion": "number"
  },
  "consistency": {
    "individual_scores": "object",
    "issues": ["object"]
  },
  "disagreement_analysis": {
    "high_variance_criteria": ["string"],
    "stakeholder_clusters": "object",
    "discussion_points": ["string"]
  },
  "documentation": {
    "methodology": "string",
    "assumptions": ["string"],
    "limitations": ["string"]
  }
}