app.py

import os
from fastapi import FastAPI, Query, HTTPException
from fastapi.staticfiles import StaticFiles
from fastapi.responses import JSONResponse
from fastapi.middleware.cors import CORSMiddleware

from env import ExecOpsEnv, Action, grade

app = FastAPI(title="AI Executive Operations Manager", version="1.0.0")

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

# Global environment instance (single session)
env = ExecOpsEnv("easy")


@app.api_route("/reset", methods=["GET", "POST"])
def reset(task: str = Query("easy")):
    """Reset the environment to a fresh state for the given task."""
    global env
    valid_tasks = ["easy", "medium", "hard"]
    if task not in valid_tasks:
        raise HTTPException(status_code=400, detail=f"Invalid task. Choose from: {valid_tasks}")
    env = ExecOpsEnv(task)
    return env.reset()


@app.post("/step")
def step(action: Action):
    """Execute one action step in the environment."""
    global env
    try:
        result = env.step(action)
        return result
    except (ValueError, RuntimeError) as e:
        raise HTTPException(status_code=400, detail=str(e))


@app.get("/state")
def get_state():
    """Return the full current environment state."""
    global env
    return env.get_state()


@app.get("/grade")
def get_grade():
    """Return the current grade score (0.0-1.0)."""
    global env
    return {"score": grade(env._state), "task_id": env.task_id}


@app.get("/health")
def health():
    """OpenEnv runtime health check."""
    return {"status": "healthy"}


@app.get("/metadata")
def metadata():
    """OpenEnv runtime metadata."""
    return {
        "name": "ai-executive-ops-manager",
        "description": (
            "Simulates a startup CEO's operational day. An AI agent manages a realistic "
            "executive inbox under time pressure, making triage decisions - reply, schedule, "
            "delegate, or ignore - to handle conflicting priorities and cascading crises."
        ),
        "version": "1.0.0",
        "tasks": ["easy", "medium", "hard"],
    }


@app.get("/schema")
def schema():
    """OpenEnv runtime schema for action, observation, and state."""
    return {
        "action": {
            "type": "object",
            "properties": {
                "type": {"type": "string", "enum": ["reply", "schedule", "delegate", "ignore"]},
                "email_id": {"type": "string", "description": "ID of the email to act on (e.g. 'e1')"},
            },
            "required": ["type", "email_id"],
        },
        "observation": {
            "type": "object",
            "properties": {
                "time": {"type": "string"},
                "step": {"type": "integer"},
                "max_steps": {"type": "integer"},
                "steps_remaining": {"type": "integer"},
                "inbox": {"type": "array", "items": {"type": "object"}},
                "calendar": {"type": "array", "items": {"type": "object"}},
                "goals": {"type": "array", "items": {"type": "object"}},
                "pending_goals": {"type": "array", "items": {"type": "object"}},
                "total_reward": {"type": "number"},
                "done": {"type": "boolean"},
            },
        },
        "state": {
            "type": "object",
            "properties": {
                "current_step": {"type": "integer"},
                "max_steps": {"type": "integer"},
                "current_time": {"type": "string"},
                "inbox": {"type": "array"},
                "calendar": {"type": "array"},
                "goals": {"type": "array"},
                "history": {"type": "array"},
                "total_reward": {"type": "number"},
                "done": {"type": "boolean"},
                "task_id": {"type": "string"},
            },
        },
    }


@app.post("/mcp")
def mcp(request: dict = None):
    """Minimal MCP/JSON-RPC endpoint for OpenEnv runtime compliance."""
    return {"jsonrpc": "2.0", "result": {"tools": []}, "id": None}


@app.get("/tasks")
def list_tasks():
    """Return available task descriptions."""
    return {
        "tasks": [
            {
                "id": "easy",
                "name": "Monday Morning Catchup",
                "difficulty": "Easy",
                "description": "A manageable Monday inbox. Priorities are clear.",
                "max_steps": 6,
            },
            {
                "id": "medium",
                "name": "Investor Demo Day Prep",
                "difficulty": "Medium",
                "description": "Conflicting priorities on demo day. Scheduling required.",
                "max_steps": 8,
            },
            {
                "id": "hard",
                "name": "Series B Crisis Day",
                "difficulty": "Hard",
                "description": "Cascading crises. Impossible to handle everything.",
                "max_steps": 8,
            },
        ]
    }


# Serve React frontend - MUST come after all API routes
FRONTEND_DIR = os.path.join(os.path.dirname(__file__), "frontend", "build")
if os.path.exists(FRONTEND_DIR):
    app.mount("/", StaticFiles(directory=FRONTEND_DIR, html=True), name="frontend")
else:
    # Fallback: return health check at root if frontend not built yet
    @app.get("/")
    def root():
        return {"status": "ok", "message": "AI Executive Operations Manager API", "frontend": "not built"}