inference.py

import asyncio
import json
import os
import sys
import re
from pathlib import Path
from typing import List, Optional
import httpx
from dotenv import load_dotenv
from openai import OpenAI

ROOT = Path(__file__).resolve().parent
REPO_ROOT = ROOT.parent

if str(REPO_ROOT) not in sys.path:
    sys.path.insert(0, str(REPO_ROOT))

load_dotenv()

TASK_DIR = ROOT / "tasks"
SYSTEM_PROMPT = (ROOT / "system_prompt.txt").read_text().strip()

HF_TOKEN = os.getenv("HF_TOKEN") or os.getenv("API_KEY")
MODEL_NAME = os.getenv("MODEL_NAME", "gpt-4o")

BASE_URL = "https://vishvam10-cloudenv.hf.space"

TASK_ORDER = ["easy-task", "medium-task", "hard-task"]

MAX_PARSE_RETRIES = 3
MAX_STEPS = 5

client = OpenAI(base_url="https://api.openai.com/v1", api_key=HF_TOKEN)


def log_start(task: str, env: str, model: str) -> None:
    print(f"[START] task={task} env={env} model={model}", flush=True)


def log_step(
    step: int, action: str, reward: float, done: bool, error: Optional[str]
) -> None:
    error_val = error if error else "null"
    done_val = str(done).lower()
    action_safe = action.replace("\n", " ").replace("\r", "")[:120]
    print(
        f"[STEP] step={step} action={action_safe} reward={reward:.2f} "
        f"done={done_val} error={error_val}",
        flush=True,
    )


def log_end(
    success: bool, steps: int, score: float, rewards: List[float]
) -> None:
    rewards_str = ",".join(f"{r:.2f}" for r in rewards)
    print(
        f"[END] success={str(success).lower()} steps={steps} "
        f"score={score:.3f} rewards={rewards_str}",
        flush=True,
    )


def load_task(name: str):
    return json.loads((TASK_DIR / f"{name}.json").read_text())


async def register_pipeline(task: dict):
    async with httpx.AsyncClient(timeout=30) as http:
        r = await http.post(
            f"{BASE_URL}/api/pipelines",
            json={
                "pipeline_id": task["pipeline_id"],
                "broken_pipeline": task["broken_pipeline"],
                "ideal_pipeline": task["ideal_pipeline"],
            },
        )

        if r.status_code not in (200, 201, 400):
            print(
                f"[PIPELINE REGISTER ERROR] {r.status_code} {r.text}",
                flush=True,
            )


async def env_reset(task_id: str, episode_id: str):
    async with httpx.AsyncClient(timeout=30) as http:
        r = await http.post(
            f"{BASE_URL}/reset",
            json={"task_id": task_id, "episode_id": episode_id},
        )
        r.raise_for_status()
        return r.json()


async def env_step(action: dict):
    async with httpx.AsyncClient(timeout=30) as http:
        r = await http.post(
            f"{BASE_URL}/step",
            json={"action": action},
        )
        r.raise_for_status()
        return r.json()


def clean_json(raw: str) -> str:
    raw = raw.strip()
    raw = re.sub(r"^```(?:json)?\s*", "", raw)
    raw = re.sub(r"\s*```$", "", raw)

    match = re.search(r"\{.*\}", raw, re.DOTALL)
    if match:
        return match.group(0)

    return raw


def build_action(raw: str, task_id: str, episode_id: str):
    try:
        raw = clean_json(raw)
        data = json.loads(raw)

        if isinstance(data, dict) and "action" in data:
            data = data["action"]

        if not isinstance(data, dict):
            return None

        service = data.get("service")
        operation = data.get("operation")

        if not service or not operation:
            return None

        instance_id = data.get("instance_id")

        if isinstance(service, str) and ":" in service:
            service, parsed_instance = service.split(":", 1)
            instance_id = instance_id or parsed_instance

        return {
            "task_id": task_id,
            "episode_id": episode_id,
            "service": service.lower(),
            "instance_id": instance_id,
            "operation": operation.strip(),
            "payload": data.get("payload", {})
            if isinstance(data.get("payload"), dict)
            else {},
            "principal_arn": data.get("principal_arn"),
            "intent": data.get("intent"),
        }

    except Exception:
        return None


def call_model(step, state, broken, ideal, history):
    prompt = f"""
Return ONLY valid JSON.

STEP {step}
STATE {json.dumps(state)[:1000]}
BROKEN {json.dumps(broken)[:1000]}
IDEAL {json.dumps(ideal)[:1000]}
HISTORY {history[-5:]}
"""

    res = client.chat.completions.create(
        model=MODEL_NAME,
        messages=[
            {"role": "system", "content": SYSTEM_PROMPT},
            {"role": "user", "content": prompt},
        ],
        temperature=0.3,
        max_tokens=500,
    )

    return (res.choices[0].message.content or "").strip()


async def run_episode(task):
    task_id = task["pipeline_id"]
    episode_id = f"{task_id}-episode-1"

    log_start(task=task_id, env="http", model=MODEL_NAME)

    result = await env_reset(task_id, episode_id)

    await env_step(
        {
            "task_id": task_id,
            "episode_id": episode_id,
            "service": "internal",
            "instance_id": None,
            "operation": "InitializeEnvironment",
            "payload": {},
        }
    )

    await register_pipeline(task)

    obs = {}
    history = []
    rewards = []
    step_count = 0

    for step in range(MAX_STEPS):
        if obs.get("done"):
            break

        error = None

        try:
            raw = call_model(
                step,
                obs,
                task["broken_pipeline"],
                task["ideal_pipeline"],
                history,
            )

            action = build_action(raw, task_id, episode_id)

            if action is None:
                error = "invalid_action"
                log_step(step, "INVALID_ACTION", 0.0, False, error)
                continue

            result = await env_step(action)
            obs = result["observation"]

            reward = float(obs.get("reward", 0.0))
            done = bool(obs.get("done", False))

            rewards.append(reward)
            history.append(raw)
            step_count += 1

            log_step(
                step=step_count,
                action=str(action),
                reward=reward,
                done=done,
                error=None,
            )

        except Exception as e:
            error = str(e)

            log_step(step, "ERROR", 0.0, False, error)
            break

        if obs.get("done"):
            break

    success = obs.get("done", False)
    score = sum(rewards) / (len(rewards) or 1)

    log_end(success=success, steps=step_count, score=score, rewards=rewards)


async def main():
    for name in TASK_ORDER:
        task = load_task(name)
        await run_episode(task)


if __name__ == "__main__":
    asyncio.run(main())