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#!/usr/bin/env python3
"""
Random Agent — sanity test for the WorkSim environment loop.

Calls reset(), then randomly selects tools and calls step() until
the episode ends. Used to verify:
  - No crashes on random inputs
  - World state evolves correctly
  - Termination conditions trigger properly
  - Audit logging works

Usage:
    python -m scripts.run_random_agent
    python -m scripts.run_random_agent --episodes 5 --max-steps 30 --seed 42
"""
import argparse
import json
import random
import sys
import os

sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))

from env.gymnasium_env import WorkSimEnv
from env.tools import get_available_tools


# Random argument generators per tool
def _random_query():
    queries = [
        "budget", "deadline", "vendor", "pricing", "schedule", "meeting",
        "report", "Acme", "design", "review", "approved", "urgent",
        "quarterly", "contract", "milestone", "requirements",
    ]
    return random.choice(queries)


def _random_args_for_tool(tool_name: str, obs: dict) -> dict:
    """Generate plausible random arguments for a tool."""
    # Get asset IDs from observation
    asset_ids = list(obs.get("assets", {}).keys())
    email_ids = [aid for aid, a in obs.get("assets", {}).items() if a.get("asset_type") == "email_thread"]
    chat_ids = [aid for aid, a in obs.get("assets", {}).items() if a.get("asset_type") == "chat_thread"]
    doc_ids = [aid for aid, a in obs.get("assets", {}).items() if a.get("asset_type") in ("document_asset", "meeting_artifact")]
    sheet_ids = [aid for aid, a in obs.get("assets", {}).items() if a.get("asset_type") == "spreadsheet_asset"]

    people = [p.get("name", "Unknown") for p in obs.get("org_directory", {}).values()]

    if tool_name == "mail.search":
        return {"query": _random_query()}
    elif tool_name == "mail.open_thread":
        return {"thread_id": random.choice(email_ids) if email_ids else "nonexistent"}
    elif tool_name == "mail.open_message":
        return {"message_id": f"msg_{random.randint(1, 100)}"}
    elif tool_name == "mail.list_inbox":
        return {"page": 1}
    elif tool_name == "mail.draft_reply":
        return {"thread_id": random.choice(email_ids) if email_ids else "x", "content": "Thank you for the update."}
    elif tool_name == "mail.send_reply":
        drafts = obs.get("drafts", {})
        return {"draft_id": random.choice(list(drafts.keys())) if drafts else "draft_none"}

    elif tool_name == "chat.list_channels":
        return {}
    elif tool_name == "chat.search":
        return {"query": _random_query()}
    elif tool_name == "chat.open_thread":
        return {"thread_id": random.choice(chat_ids) if chat_ids else "nonexistent"}
    elif tool_name == "chat.open_channel":
        return {"channel_id": random.choice(chat_ids) if chat_ids else "x", "window": 10}
    elif tool_name == "chat.post_message":
        return {"channel_id": random.choice(chat_ids) if chat_ids else "x", "content": "Checking in on this."}

    elif tool_name == "drive.list_files":
        return {}
    elif tool_name == "drive.search":
        return {"query": _random_query()}
    elif tool_name == "drive.open_file":
        return {"file_id": random.choice(doc_ids) if doc_ids else "nonexistent"}
    elif tool_name == "drive.compare_versions":
        return {"file_id": random.choice(doc_ids) if doc_ids else "x"}

    elif tool_name == "sheet.open":
        return {"file_id": random.choice(sheet_ids) if sheet_ids else "x"}
    elif tool_name == "sheet.read_range":
        return {"file_id": random.choice(sheet_ids) if sheet_ids else "x", "tab_name": "Budget", "range_ref": "A1:E5"}
    elif tool_name == "sheet.write_cell":
        return {"file_id": random.choice(sheet_ids) if sheet_ids else "x", "tab_name": "Budget", "cell_ref": "C7", "value": random.randint(100, 9999)}
    elif tool_name == "sheet.write_range":
        return {"file_id": random.choice(sheet_ids) if sheet_ids else "x", "tab_name": "Budget", "values": {"C7": 1000, "C8": 2000}}
    elif tool_name == "sheet.get_formula":
        return {"file_id": random.choice(sheet_ids) if sheet_ids else "x", "tab_name": "Budget", "cell_ref": "D10"}

    elif tool_name == "calendar.view":
        return {"participants": random.sample(people, min(2, len(people))) if people else []}
    elif tool_name == "calendar.check_conflicts":
        return {"participants": random.sample(people, min(2, len(people))) if people else [], "proposed_time": "2024-03-12T10:00:00"}
    elif tool_name == "calendar.propose_time":
        return {"participants": random.sample(people, min(2, len(people))) if people else [], "constraints": {"duration_minutes": 60}}
    elif tool_name == "calendar.create_hold":
        return {"title": "Random Meeting", "participants": people[:2] if people else ["A"], "time_slot": {"start": "2024-03-12T14:00:00", "end": "2024-03-12T15:00:00"}}

    elif tool_name == "notes.write":
        return {"content": f"Step {random.randint(1,50)} notes: investigating {_random_query()}"}
    elif tool_name == "memo.create":
        return {"title": "Draft Memo", "content": "This is a draft analysis based on findings so far."}
    elif tool_name == "memo.submit":
        # Only submit if a memo was created
        deliverables = obs.get("drafts", {})
        return {"memo_id": "memo_none"}  # Will usually fail gracefully
    elif tool_name == "task.mark_done":
        objectives = obs.get("objectives", [])
        return {"task_id": objectives[0]["id"] if objectives else "unknown"}

    elif tool_name == "search.global":
        return {"query": _random_query()}
    elif tool_name == "entity.resolve":
        return {"name_or_alias": random.choice(people) if people else "unknown"}
    elif tool_name == "workspace.status":
        return {}

    return {}


def run_random_episode(
    project_type: str, difficulty: int, seed: int, max_steps: int, verbose: bool = True
) -> dict:
    """Run one random episode and return statistics."""
    env = WorkSimEnv(project_type=project_type, difficulty_level=difficulty, max_steps=max_steps)
    obs, info = env.reset(seed=seed)
    rng = random.Random(seed)

    tools = get_available_tools()
    # Weight exploration tools higher than submission
    safe_tools = [t for t in tools if t not in ("memo.submit",)]

    stats = {
        "world_id": info.get("world_id", ""),
        "project_type": project_type,
        "difficulty": difficulty,
        "seed": seed,
        "steps": 0,
        "total_reward": 0.0,
        "tool_calls": {},
        "errors": 0,
        "terminated": False,
        "truncated": False,
        "termination_reason": "",
    }

    if verbose:
        print(f"\n{'='*60}")
        print(f"Random Agent — {info.get('world_id', 'N/A')}")
        print(f"  Project: {project_type} | Difficulty: {difficulty} | Seed: {seed}")
        print(f"  Task: {obs.get('task_goal', '')[:70]}...")
        print(f"{'='*60}")

    while not env.done:
        # Pick a random tool
        tool = rng.choice(safe_tools)

        # After step 15, occasionally try memo.create + submit to test termination
        if env.step_count > max_steps * 0.7 and rng.random() < 0.1:
            tool = "memo.create"

        args = _random_args_for_tool(tool, obs)
        action = {"tool_name": tool, "arguments": args}

        obs, reward, terminated, truncated, step_info = env.step(action)

        stats["steps"] += 1
        stats["total_reward"] += reward
        stats["tool_calls"][tool] = stats["tool_calls"].get(tool, 0) + 1

        tool_result = step_info.get("tool_result", {})
        if tool_result.get("status") == "error":
            stats["errors"] += 1

        if verbose and stats["steps"] % 5 == 0:
            print(f"  Step {stats['steps']}: {tool}{tool_result.get('status', '?')}  (reward: {reward:+.3f}, total: {env.episode_reward:.3f})")

        # If we just created a memo, submit it on the next round
        if tool == "memo.create" and tool_result.get("status") == "success":
            memo_id = tool_result.get("result", {}).get("memo_id", "")
            if memo_id:
                submit_action = {"tool_name": "memo.submit", "arguments": {"memo_id": memo_id}}
                obs, reward, terminated, truncated, step_info = env.step(submit_action)
                stats["steps"] += 1
                stats["total_reward"] += reward
                stats["tool_calls"]["memo.submit"] = stats["tool_calls"].get("memo.submit", 0) + 1

    stats["terminated"] = env._world.terminated
    stats["truncated"] = env._world.truncated
    stats["termination_reason"] = env.get_full_state().get("completion_state", {}).get("termination_reason", "unknown")

    if verbose:
        print(f"\n{'─'*60}")
        print(f"Episode ended: {'TERMINATED' if stats['terminated'] else 'TRUNCATED'}")
        print(f"  Reason: {stats['termination_reason']}")
        print(f"  Steps: {stats['steps']}")
        print(f"  Total reward: {stats['total_reward']:.3f}")
        print(f"  Errors: {stats['errors']}")
        print(f"  Tool distribution: {json.dumps(stats['tool_calls'], indent=2)}")
        env.render()

    return stats


def main():
    parser = argparse.ArgumentParser(description="Random Agent Sanity Test")
    parser.add_argument("--episodes", type=int, default=3, help="Number of episodes")
    parser.add_argument("--max-steps", type=int, default=30, help="Max steps per episode")
    parser.add_argument("--seed", type=int, default=42, help="Base random seed")
    parser.add_argument("--project", default=None, help="Project type (default: all)")
    parser.add_argument("--difficulty", type=int, default=2, help="Difficulty level")
    parser.add_argument("--quiet", action="store_true", help="Less output")
    args = parser.parse_args()

    project_types = [args.project] if args.project else ["client_brief", "calendar_conflict"]

    all_stats = []

    for i in range(args.episodes):
        pt = project_types[i % len(project_types)]
        seed = args.seed + i * 1000

        stats = run_random_episode(
            project_type=pt,
            difficulty=args.difficulty,
            seed=seed,
            max_steps=args.max_steps,
            verbose=not args.quiet,
        )
        all_stats.append(stats)

    # Summary
    print(f"\n{'='*60}")
    print(f"SUMMARY — {len(all_stats)} episode(s)")
    print(f"{'='*60}")

    total_steps = sum(s["steps"] for s in all_stats)
    total_errors = sum(s["errors"] for s in all_stats)
    total_reward = sum(s["total_reward"] for s in all_stats)
    terminated = sum(1 for s in all_stats if s["terminated"])
    truncated = sum(1 for s in all_stats if s["truncated"])

    print(f"  Total steps: {total_steps}")
    print(f"  Total errors: {total_errors} ({total_errors/max(total_steps,1)*100:.1f}%)")
    print(f"  Avg reward: {total_reward/len(all_stats):.3f}")
    print(f"  Terminated: {terminated} | Truncated: {truncated}")

    # Aggregate tool usage
    all_tools = {}
    for s in all_stats:
        for t, c in s["tool_calls"].items():
            all_tools[t] = all_tools.get(t, 0) + c
    print(f"\n  Tool usage (total):")
    for t in sorted(all_tools, key=all_tools.get, reverse=True):
        print(f"    {t}: {all_tools[t]}")

    print(f"\n✅ Random agent sanity test complete.")


if __name__ == "__main__":
    main()