from tempfile import TemporaryDirectory
import json
import time
import logging

from src.git import clone_repo
from src.optipng import apply_optipng_recursive
from src.messages import AnalyzeTask, AnalyzeResponse, create_analyze_response
from src.rabbit import get_channel, send_reply
from src.settings import RABBIT_TASK_QUEUE, init_logging, WORKER_NAME


def process_task(task: AnalyzeTask) -> AnalyzeResponse:
    with TemporaryDirectory() as repo_path:
        clone_begin_at = time.monotonic()
        clone_repo(task.url, repo_path)
        clone_duration = time.monotonic() - clone_begin_at
        base_size, after_size = apply_optipng_recursive(repo_path, level=task.level)
        optipng_duration = time.monotonic() - clone_begin_at - clone_duration
        return create_analyze_response(
            task,
            base_size,
            after_size,
            clone_duration=clone_duration,
            duration=optipng_duration,
            worker=WORKER_NAME,
        )


def rabbit_callback(ch, method, properties, body):
    task = AnalyzeTask.from_data(json.loads(body))
    logging.info(f"New task url: {task.url}, level: {task.level}")
    try:
        res = process_task(task).data
        res["status"] = "success"
    except Exception as err:
        logging.exception(f"Error {err} with {task.url}")
        res = {
            "status": "error",
            "message": str(err),
            "task_id": task.task_id
        }
    send_reply(ch, json.dumps(res).encode("utf-8"))


def main():
    channel = get_channel()

    channel.basic_consume(
        queue=RABBIT_TASK_QUEUE, on_message_callback=rabbit_callback, auto_ack=True
    )
    channel.start_consuming()


if __name__ == "__main__":
    init_logging()
    main()