#!/usr/bin/env python3
import os
import logging
import tempfile
import requests

from cnn_classifier import Classifier


def run_everything(parameters: dict):
    tag = parameters['tag']

    _, file_path = tempfile.mkstemp(prefix=f"{tag}_", suffix=".wav")
    _, temp_model_name = tempfile.mkstemp(suffix=".json")
    _, temp_weights_name = tempfile.mkstemp(suffix=".h5")

    try:

        logging.info(f"Downloading sample: {tag}")
        r = requests.get(f"http://storage-service/object/{tag}")
        with open(file_path, 'wb') as f:
            f.write(r.content)

        logging.debug(f"Downloaded sample to {file_path}")

        r = requests.get(f"http://model-service/model/cnn/$default")
        r.raise_for_status()

        with open(temp_model_name, 'wb') as f:
            f.write(r.content)

        r = requests.get(f"http://model-service/model/cnn/$default?weights")
        r.raise_for_status()

        with open(temp_weights_name, 'wb') as f:
            f.write(r.content)

        # magic happens here
        classifier = Classifier(temp_model_name, temp_weights_name)
        results = classifier.predict(file_path)

    finally:  # bruuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuh
        try:
            os.remove(temp_model_name)
        except FileNotFoundError:
            pass

        try:
            os.remove(temp_weights_name)
        except FileNotFoundError:
            pass

        try:
            os.remove(file_path)
        except FileNotFoundError:
            pass

    response = {
        "tag": tag,
        "probability": 1.0 if results[0] == 'sturnus' else 0.0,
        "model": ...
    }

    logging.info(f"Classification done!")
    logging.debug(f"Results: {response}")

    return response