import argparse
import json
import os
from csv import QUOTE_NONNUMERIC
from time import localtime, strftime

import pandas as pd

from src.logger import logger


def load_json(path, **rest):
    try:
        with open(path, "r") as f:
            loaded = json.load(f, **rest)
    except json.decoder.JSONDecodeError as error:
        logger.critical(f"Error when loading json file at: '{path}'\n{error}")
        exit(1)
    return loaded


class Paths:
    def __init__(self, output_dir):
        self.output_dir = output_dir
        self.save_marked_dir = output_dir.joinpath("")
        self.results_dir = output_dir.joinpath("")
        self.manual_dir = output_dir.joinpath("Manual")
        self.evaluation_dir = output_dir.joinpath("Evaluation")
        self.errors_dir = self.manual_dir.joinpath("ErrorFiles")
        self.multi_marked_dir = self.manual_dir.joinpath("MultiMarkedFiles")


def setup_dirs_for_paths(paths):
    logger.info("Checking Directories...")
    for save_output_dir in [paths.save_marked_dir]:
        if not os.path.exists(save_output_dir):
            logger.info(f"Created : {save_output_dir}")
            os.makedirs(save_output_dir)
            os.mkdir(save_output_dir.joinpath("stack"))
            os.mkdir(save_output_dir.joinpath("_MULTI_"))
            os.mkdir(save_output_dir.joinpath("_MULTI_", "stack"))

    for save_output_dir in [paths.manual_dir, paths.results_dir, paths.evaluation_dir]:
        if not os.path.exists(save_output_dir):
            logger.info(f"Created : {save_output_dir}")
            os.makedirs(save_output_dir)

    for save_output_dir in [paths.multi_marked_dir, paths.errors_dir]:
        if not os.path.exists(save_output_dir):
            logger.info(f"Created : {save_output_dir}")
            os.makedirs(save_output_dir)


def setup_outputs_for_template(paths, template):
    # TODO: consider moving this into a class instance
    ns = argparse.Namespace()
    logger.info("Checking Files...")

    # Include current output paths
    ns.paths = paths

    ns.empty_resp = [""] * len(template.output_columns)
    ns.sheetCols = [
        "file_id",
        "input_path",
        "output_path",
        "score",
    ] + template.output_columns
    ns.OUTPUT_SET = []
    ns.files_obj = {}
    TIME_NOW_HRS = strftime("%I%p", localtime())
    ns.filesMap = {
        "Results": os.path.join(paths.results_dir, f"Results_{TIME_NOW_HRS}.csv"),
        "MultiMarked": os.path.join(paths.manual_dir, "MultiMarkedFiles.csv"),
        "Errors": os.path.join(paths.manual_dir, "ErrorFiles.csv"),
    }

    for file_key, file_name in ns.filesMap.items():
        if not os.path.exists(file_name):
            logger.info(f"Created new file: '{file_name}'")
            # moved handling of files to pandas csv writer
            ns.files_obj[file_key] = file_name
            # Create Header Columns
            pd.DataFrame([ns.sheetCols], dtype=str).to_csv(
                ns.files_obj[file_key],
                mode="a",
                quoting=QUOTE_NONNUMERIC,
                header=False,
                index=False,
            )
        else:
            logger.info(f"Present : appending to '{file_name}'")
            ns.files_obj[file_key] = open(file_name, "a")

    return ns