#!/usr/bin/env python3

# -*- coding: utf-8 -*-

import matplotlib.pyplot as plt

from .statistic import StatisticHistogram

import singlecellmultiomics.pyutils as pyutils

import collections

import pandas as pd

import matplotlib

matplotlib.rcParams['figure.dpi'] = 160

matplotlib.use('Agg')

class RejectionReasonHistogram(StatisticHistogram):

    def __init__(self, args):

        StatisticHistogram.__init__(self, args)

        self.histogram = collections.Counter()

    def processRead(self, R1,R2):

        for read in [R1,R2]:

            if read is None:

                continue

            if read.has_tag('RR'):

                self.histogram[read.get_tag('RR')] += 1

            break

    def __repr__(self):

        rt = 'Rejection reasons:'

        for reason, obs in self.histogram.most_common():

            rt += f'{reason}\t:\t{obs}\n'

        return rt

    def __iter__(self):

        return iter(self.histogram.most_common())

    def plot(self, target_path, title=None):

        if len(self.histogram) == 0:

            print('Not plotting rejection reasons, rejection tag RR was never seen')

            return

        df = pd.DataFrame.from_dict({'Reason': dict(self)}).T

        df.plot.bar(figsize=(10, 4)).legend(bbox_to_anchor=(1, 0.98))

        if title is not None:

            plt.title(title)

        plt.tight_layout()

        plt.subplots_adjust(right=0.6)

        plt.savefig(target_path)

        ax = plt.gca()

        ax.set_yscale('log')

        plt.savefig(target_path.replace('.png', '.log.png'))

        plt.close()