# Copyright (C) 2020-2021 Intel Corporation
#
# SPDX-License-Identifier: MIT

import csv
import os
import os.path as osp

from datumaro.components.annotation import (
    AnnotationType, Bbox, Label, LabelCategories, Points,
)
from datumaro.components.converter import Converter
from datumaro.components.extractor import DatasetItem, Extractor, Importer
from datumaro.util.image import find_images


class VggFace2Path:
    ANNOTATION_DIR = "bb_landmark"
    IMAGE_EXT = '.jpg'
    BBOXES_FILE = 'loose_bb_'
    LANDMARKS_FILE = 'loose_landmark_'
    LABELS_FILE = 'labels.txt'
    IMAGES_DIR_NO_LABEL = 'no_label'

class VggFace2Extractor(Extractor):
    def __init__(self, path):
        subset = None
        if osp.isdir(path):
            self._path = path
        elif osp.isfile(path):
            subset = osp.splitext(osp.basename(path).split('_')[2])[0]
            self._path = osp.dirname(path)
        else:
            raise Exception("Can't read annotations from '%s'" % path)

        annotation_files = [p for p in os.listdir(self._path)
            if (osp.basename(p).startswith(VggFace2Path.BBOXES_FILE) or \
                        osp.basename(p).startswith(VggFace2Path.LANDMARKS_FILE)) and \
                    p.endswith('.csv')]

        if len(annotation_files) < 1:
            raise Exception("Can't find annotations in the directory '%s'" % path)

        super().__init__()

        self._dataset_dir = osp.dirname(self._path)
        self._subsets = {subset} if subset else set(
            osp.splitext(f.split('_')[2])[0] for f in annotation_files
        )

        self._categories = {}
        self._items = []

        self._load_categories()
        for subset in self._subsets:
            self._items.extend(list(self._load_items(subset).values()))

    def __iter__(self):
        return iter(self._items)

    def categories(self):
        return self._categories

    def _load_categories(self):
        label_cat = LabelCategories()
        path = osp.join(self._dataset_dir, VggFace2Path.LABELS_FILE)
        if osp.isfile(path):
            with open(path, encoding='utf-8') as labels_file:
                lines = [s.strip() for s in labels_file]
            for line in lines:
                objects = line.split()
                label = objects[0]
                class_name = None
                if 1 < len(objects):
                    class_name = objects[1]
                label_cat.add(label, parent=class_name)
        else:
            for subset in self._subsets:
                subset_path = osp.join(self._dataset_dir, subset)
                if osp.isdir(subset_path):
                    for images_dir in sorted(os.listdir(subset_path)):
                        if osp.isdir(osp.join(subset_path, images_dir)) and \
                                images_dir != VggFace2Path.IMAGES_DIR_NO_LABEL:
                            label_cat.add(images_dir)
        self._categories[AnnotationType.label] = label_cat

    def _load_items(self, subset):
        def _get_label(path):
            label_name = path.split('/')[0]
            label = None
            if label_name != VggFace2Path.IMAGES_DIR_NO_LABEL:
                label = \
                    self._categories[AnnotationType.label].find(label_name)[0]
            return label

        items = {}

        image_dir = osp.join(self._dataset_dir, subset)
        if osp.isdir(image_dir):
            images = {
                osp.splitext(osp.relpath(p, image_dir))[0].replace('\\', '/'): p
                for p in find_images(image_dir, recursive=True)
            }
        else:
            images = {}

        landmarks_path = osp.join(self._dataset_dir, VggFace2Path.ANNOTATION_DIR,
            VggFace2Path.LANDMARKS_FILE + subset + '.csv')
        if osp.isfile(landmarks_path):
            with open(landmarks_path, encoding='utf-8') as content:
                landmarks_table = list(csv.DictReader(content))
            for row in landmarks_table:
                item_id = row['NAME_ID']
                label = None
                if '/' in item_id:
                    label = _get_label(item_id)

                if item_id not in items:
                    items[item_id] = DatasetItem(id=item_id, subset=subset,
                        image=images.get(row['NAME_ID']))

                annotations = items[item_id].annotations
                if [a for a in annotations if a.type == AnnotationType.points]:
                    raise Exception("Item %s: an image can have only one "
                        "set of landmarks" % item_id)

                if len([p for p in row if row[p] == '']) == 0 and len(row) == 11:
                    annotations.append(Points(
                        [float(row[p]) for p in row if p != 'NAME_ID'],
                        label=label)
                    )
                elif label is not None:
                    annotations.append(Label(label=label))

        bboxes_path = osp.join(self._dataset_dir, VggFace2Path.ANNOTATION_DIR,
            VggFace2Path.BBOXES_FILE + subset + '.csv')
        if osp.isfile(bboxes_path):
            with open(bboxes_path, encoding='utf-8') as content:
                bboxes_table = list(csv.DictReader(content))
            for row in bboxes_table:
                item_id = row['NAME_ID']
                label = None
                if '/' in item_id:
                    label = _get_label(item_id)

                if item_id not in items:
                    items[item_id] = DatasetItem(id=item_id, subset=subset,
                        image=images.get(row['NAME_ID']))

                annotations = items[item_id].annotations
                if [a for a in annotations if a.type == AnnotationType.bbox]:
                    raise Exception("Item %s: an image can have only one "
                        "bbox" % item_id)

                if len([p for p in row if row[p] == '']) == 0 and len(row) == 5:
                    annotations.append(Bbox(float(row['X']), float(row['Y']),
                        float(row['W']), float(row['H']), label=label))
        return items

class VggFace2Importer(Importer):
    @classmethod
    def find_sources(cls, path):
        if osp.isdir(path):
            annotation_dir = osp.join(path, VggFace2Path.ANNOTATION_DIR)
            if osp.isdir(annotation_dir):
                return [{
                    'url': annotation_dir, 'format': VggFace2Extractor.NAME,
                }]
        elif osp.isfile(path):
            if (osp.basename(path).startswith(VggFace2Path.LANDMARKS_FILE) or \
                        osp.basename(path).startswith(VggFace2Path.BBOXES_FILE)) and \
                    path.endswith('.csv'):
                return [{
                    'url': path, 'format': VggFace2Extractor.NAME,
                }]
        return []

class VggFace2Converter(Converter):
    DEFAULT_IMAGE_EXT = VggFace2Path.IMAGE_EXT

    def apply(self):
        def _get_name_id(item_parts, label_name):
            if 1 < len(item_parts) and item_parts[0] == label_name:
                return '/'.join([label_name, *item_parts[1:]])
            else:
                return '/'.join([label_name, *item_parts])

        save_dir = self._save_dir
        os.makedirs(save_dir, exist_ok=True)

        labels_path = osp.join(save_dir, VggFace2Path.LABELS_FILE)
        labels_file = ''
        for label in self._extractor.categories()[AnnotationType.label]:
            labels_file += '%s' % label.name
            if label.parent:
                labels_file += ' %s' % label.parent
            labels_file += '\n'
        with open(labels_path, 'w', encoding='utf-8') as f:
            f.write(labels_file)

        label_categories = self._extractor.categories()[AnnotationType.label]

        for subset_name, subset in self._extractor.subsets().items():
            bboxes_table = []
            landmarks_table = []
            for item in subset:
                item_parts = item.id.split('/')
                if item.has_image and self._save_images:
                    labels = set(p.label for p in item.annotations
                        if getattr(p, 'label') != None)
                    if labels:
                        for label in labels:
                            image_dir = label_categories[label].name
                            if 1 < len(item_parts) and image_dir == item_parts[0]:
                                image_dir = ''
                            self._save_image(item, subdir=osp.join(subset_name,
                                image_dir))
                    else:
                        image_dir = VggFace2Path.IMAGES_DIR_NO_LABEL
                        if 1 < len(item_parts) and image_dir == item_parts[0]:
                            image_dir = ''
                        self._save_image(item, subdir=osp.join(subset_name,
                            image_dir))

                landmarks = [a for a in item.annotations
                    if a.type == AnnotationType.points]
                if 1 < len(landmarks):
                    raise Exception("Item (%s, %s): an image can have only one "
                        "set of landmarks" % (item.id, item.subset))
                if landmarks:
                    if landmarks[0].label is not None and \
                            label_categories[landmarks[0].label].name:
                        name_id = _get_name_id(item_parts,
                            label_categories[landmarks[0].label].name)
                    else:
                        name_id = _get_name_id(item_parts,
                            VggFace2Path.IMAGES_DIR_NO_LABEL)
                    points = landmarks[0].points
                    if len(points) != 10:
                        landmarks_table.append({'NAME_ID': name_id})
                    else:
                        landmarks_table.append({'NAME_ID': name_id,
                            'P1X': points[0], 'P1Y': points[1],
                            'P2X': points[2], 'P2Y': points[3],
                            'P3X': points[4], 'P3Y': points[5],
                            'P4X': points[6], 'P4Y': points[7],
                            'P5X': points[8], 'P5Y': points[9]})

                bboxes = [a for a in item.annotations
                    if a.type == AnnotationType.bbox]
                if 1 < len(bboxes):
                    raise Exception("Item (%s, %s): an image can have only one "
                        "bbox" % (item.id, item.subset))
                if bboxes:
                    if bboxes[0].label is not None and \
                            label_categories[bboxes[0].label].name:
                        name_id = _get_name_id(item_parts,
                            label_categories[bboxes[0].label].name)
                    else:
                        name_id = _get_name_id(item_parts,
                            VggFace2Path.IMAGES_DIR_NO_LABEL)
                    bboxes_table.append({'NAME_ID': name_id, 'X': bboxes[0].x,
                        'Y': bboxes[0].y, 'W': bboxes[0].w, 'H': bboxes[0].h})

                labels = [a for a in item.annotations
                    if a.type == AnnotationType.label]
                for label in labels:
                    if label.label is not None and \
                            label_categories[label.label].name:
                        name_id = _get_name_id(item_parts,
                            label_categories[labels[0].label].name)
                    else:
                        name_id = _get_name_id(item_parts,
                            VggFace2Path.IMAGES_DIR_NO_LABEL)
                    landmarks_table.append({'NAME_ID': name_id})

                if not landmarks and not bboxes and not labels:
                    landmarks_table.append({'NAME_ID': _get_name_id(item_parts,
                        VggFace2Path.IMAGES_DIR_NO_LABEL)})

            landmarks_path = osp.join(save_dir, VggFace2Path.ANNOTATION_DIR,
                VggFace2Path.LANDMARKS_FILE + subset_name + '.csv')
            os.makedirs(osp.dirname(landmarks_path), exist_ok=True)
            with open(landmarks_path, 'w', encoding='utf-8', newline='') as file:
                columns = ['NAME_ID', 'P1X', 'P1Y', 'P2X', 'P2Y',
                    'P3X', 'P3Y', 'P4X', 'P4Y', 'P5X', 'P5Y']
                writer = csv.DictWriter(file, fieldnames=columns)
                writer.writeheader()
                writer.writerows(landmarks_table)

            if bboxes_table:
                bboxes_path = osp.join(save_dir, VggFace2Path.ANNOTATION_DIR,
                    VggFace2Path.BBOXES_FILE + subset_name + '.csv')
                os.makedirs(osp.dirname(bboxes_path), exist_ok=True)
                with open(bboxes_path, 'w', encoding='utf-8', newline='') as file:
                    columns = ['NAME_ID', 'X', 'Y', 'W', 'H']
                    writer = csv.DictWriter(file, fieldnames=columns)
                    writer.writeheader()
                    writer.writerows(bboxes_table)
