import json
import logging
import re
import urllib
import uuid

import requests
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericRelation
from django.contrib.contenttypes.models import ContentType
from django.db import models, transaction
from django.utils.text import slugify
from django_comments_xtd.models import XtdComment

import iconolab.signals.handlers as iconolab_signals

logger = logging.getLogger(__name__)


class Collection(models.Model):
    """
        Collection objects are the thematic item repositories in Iconolab

            name: the name displayed in the url and also used to identify the collection
            verbose_name: the name displayed in the text of the pages
            description: the short description of the collection that will be
                displayed by default in pages
            complete_description: the complete description that will be shown
                with a "view more" button/link
            image/height/width: the collection image that will be shown in the
                collection description
            show_image_on_home: if True, the collection will appear by default
                on the homepage as one of the bigger images
    """
    name = models.SlugField(max_length=50, unique=True)
    verbose_name = models.CharField(max_length=50, null=True, blank=True)
    description = models.TextField(null=True, blank=True, default="")
    complete_description = models.TextField(null=True, blank=True, default="")
    image = models.ImageField(
        upload_to='uploads/', height_field='height', width_field='width', null=True, blank=True)
    height = models.IntegerField(null=True, blank=True)
    width = models.IntegerField(null=True, blank=True)
    show_image_on_home = models.BooleanField(default=False)

    def __str__(self):
        return self.name

class Folder(models.Model):
    """
        Some items may belong to a "folder". This is actually a physical folder
    """
    folder_guid = models.UUIDField(default=uuid.uuid4, editable=False)
    collection = models.ForeignKey(Collection, related_name="folders")
    name = models.TextField(null=False, blank=False)
    description = models.TextField(null=True, blank=True)
    original_id = models.CharField(max_length=256, null=True, blank=True)

    def __str__(self):
        return 'Folder ' + self.name

class Item(models.Model):
    """
        Item objects belong to a collection, are linked to a metadata item, and
        to one or more images
    """
    collection = models.ForeignKey(Collection, related_name="items")
    item_guid = models.UUIDField(default=uuid.uuid4, editable=False)
    folders = models.ManyToManyField('Folder')

    def __str__(self):
        return str(self.item_guid) + ":from:" + self.collection.name

    @property
    def images_sorted_by_name(self):
        return self.images.order_by("-name").all()


class ItemMetadata(models.Model):
    """
        Metadata object for the item class. Each field represents what we can
        import from the provided .csv files
    """
    item = models.OneToOneField('Item', related_name='metadatas')
    authors = models.CharField(max_length=255, default="")
    school = models.CharField(max_length=255, default="")
    field = models.CharField(max_length=255, default="")
    designation = models.CharField(max_length=255, default="")
    datation = models.CharField(max_length=255, default="")
    technics = models.CharField(max_length=255, default="")
    measurements = models.CharField(max_length=255, default="")
    create_or_usage_location = models.CharField(max_length=255, default="")
    discovery_context = models.CharField(max_length=255, default="")
    conservation_location = models.CharField(max_length=255, default="")
    photo_credits = models.CharField(max_length=255, default="")
    inventory_number = models.CharField(max_length=255, default="")
    joconde_ref = models.CharField(max_length=255, default="")

    @property
    def get_joconde_url(self):
        return settings.JOCONDE_NOTICE_BASE_URL + self.joconde_ref.rjust(11, '0')

    def __str__(self):
        return "metadatas:for:" + str(self.item.item_guid)


class Image(models.Model):
    """
        Each image object is linked to one item, users can create annotations on images
    """

    image_guid = models.UUIDField(default=uuid.uuid4, editable=False)
    name = models.CharField(max_length=200)
    media = models.ImageField(upload_to='uploads/',
                              height_field='height', width_field='width')
    item = models.ForeignKey(
        'Item', related_name='images', null=True, blank=True)
    height = models.IntegerField(null=False, blank=False)
    width = models.IntegerField(null=False, blank=False)
    created = models.DateTimeField(auto_now_add=True, null=True)

    def __str__(self):
        return str(self.image_guid) + ":" + self.name

    @property
    def wh_ratio(self):
        return self.width / self.height

    @property
    def collection(self):
        return self.item.collection.name

    @property
    def title(self):
        return self.item.metadatas.designation

    @property
    def authors(self):
        return self.item.metadatas.authors

    @property
    def school(self):
        return self.item.metadatas.school

    @property
    def designation(self):
        return self.item.metadatas.designation

    @property
    def datation(self):
        return self.item.metadatas.datation

    @property
    def technics(self):
        return self.item.metadatas.technics

    @property
    def measurements(self):
        return self.item.metadatas.measurements

    @property
    def latest_annotations(self):
        return self.annotations.all().order_by('-created')

    @property
    def tag_labels(self):
        tag_list = []
        for annotation in self.annotations.all():
            revision_tags = json.loads(
                annotation.current_revision.get_tags_json())
            tag_list += [tag_infos['tag_label']
                         for tag_infos in revision_tags if tag_infos.get('tag_label') is not None]  # deal with
        return tag_list


class ImageStats(models.Model):
    """
        Stats objects for a given image, keep count of several values to be
        displayed in image and item pages
    """
    image = models.OneToOneField(
        'Image', related_name='stats', blank=False, null=False)
    views_count = models.IntegerField(blank=True, null=True, default=0)
    annotations_count = models.IntegerField(blank=True, null=True, default=0)
    submitted_revisions_count = models.IntegerField(
        blank=True, null=True, default=0)
    comments_count = models.IntegerField(blank=True, null=True, default=0)
    folders_inclusion_count = models.IntegerField(
        blank=True, null=True, default=0)
    tag_count = models.IntegerField(blank=True, null=True, default=0)

    def __str__(self):
        return "stats:for:" + str(self.image.image_guid)

    def set_tags_stats(self):
        self.tag_count = Tag.objects.filter(
            tagginginfo__revision__annotation__image=self.image).distinct().count()

    @transaction.atomic
    def update_stats(self):
        self.annotations_count = 0
        self.submitted_revisions_count = 0
        self.comments_count = 0
        image_annotations = Annotation.objects.filter(image=self.image)
        # views_count - Can't do much about views count
        # annotations_count
        self.annotations_count = image_annotations.count()
        # submitted_revisions_count & comment_count
        for annotation in image_annotations.all():
            annotation_revisions = annotation.revisions
            self.submitted_revisions_count += annotation_revisions.count()

            self.comments_count += XtdComment.objects.for_app_models("iconolab.annotation").filter(
                object_pk=annotation.pk,
            ).count()
        # tag_count
        self.tag_count = Tag.objects.filter(
            tagginginfo__revision__annotation__image=self.image).distinct().count()
        self.save()


class AnnotationManager(models.Manager):
    """
        Manager class for annotation, it handles annotation creation (with initial revision creation, and
        has methods to get a list of annotation commented for a given user, and a list of annotations contributed for a
        given user
    """
    @transaction.atomic
    def create_annotation(self, author, image, title='', description='', fragment='', tags_json='[]'):
        """
            Creates a new Annotation with its associated AnnotationStats and initial AnnotationRevision
        """
        # Create annotation object
        new_annotation = Annotation(
            image=image,
            author=author
        )
        new_annotation.save()

        # Create initial revision
        initial_revision = AnnotationRevision(
            annotation=new_annotation,
            author=author,
            title=title,
            description=description,
            fragment=fragment,
            state=AnnotationRevision.ACCEPTED
        )
        initial_revision.save()
        initial_revision.set_tags(tags_json)

        # Create stats object
        new_annotation_stats = AnnotationStats(annotation=new_annotation)
        new_annotation_stats.set_tags_stats()
        new_annotation_stats.save()

        # Link everything to parent
        new_annotation.current_revision = initial_revision
        new_annotation.stats = new_annotation_stats
        new_annotation.save()
        iconolab_signals.revision_created.send(
            sender=AnnotationRevision, instance=initial_revision)
        return new_annotation

    @transaction.atomic
    def get_annotations_contributed_for_user(self, user):
        """
            user is the user whom we want to get the contributed annotations

            Returns the list of all the annotations on which the user submitted
            a revision but did not create the annotation
            List of dict in the format:

            {
                "annotation_obj": annotation object,
                "revisions_count": revisions count for user
                "awaiting_count": awaiting revisions for user on this annotation
                "accepted_count": accepted revisions for user
                "latest_submitted_revision": date of the latest submitted revision
                    from user on annotation
            }
        """
        latest_revision_on_annotations = []
        user_contributed_annotations = Annotation.objects.filter(revisions__author=user).exclude(author=user).prefetch_related(
            'current_revision',
            'revisions',
            'image',
            'image__item',
            'image__item__collection').distinct()
        for annotation in user_contributed_annotations.all():
            latest_revision_on_annotations.append(
                annotation.revisions.filter(author=user).latest(field_name="created"))
        contributed_list = []
        if latest_revision_on_annotations:
            latest_revision_on_annotations.sort(
                key=lambda item: item.created, reverse=True)
            contributed_list = [
                {
                    "annotation_obj": revision.annotation,
                    "revisions_count": revision.annotation.revisions.filter(author=user).count(),
                    "awaiting_count": revision.annotation.revisions.filter(author=user, state=AnnotationRevision.AWAITING).count(),
                    "accepted_count": revision.annotation.revisions.filter(author=user, state=AnnotationRevision.ACCEPTED).count(),
                    "latest_submitted_revision": revision.created
                }
                for revision in latest_revision_on_annotations
            ]
        return contributed_list

    @transaction.atomic
    def get_annotations_commented_for_user(self, user, ignore_revisions_comments=True):
        """
            user is the user for which we want to get the commented annotations
            ignore_revisions_comment allows to filter comments that are associated with a revision


            Returns a list of all annotations on which a given user commented
            with user-comments-related data
            List of dict in the format:

            {
                "annotation_obj": annotation object,
                "comment_count": comment count for user
                "latest_comment_date": date of the latest comment from user on annotation
            }
        """
        user_comments = IconolabComment.objects.filter(
            user=user, content_type__app_label='iconolab', content_type__model='annotation').order_by('-submit_date')
        if ignore_revisions_comments:
            user_comments = user_comments.filter(revision__isnull=True)
        all_user_comments_data = [
            (comment.object_pk, comment.submit_date) for comment in user_comments]
        unique_ordered_comments_data = []
        for (id, submit_date) in all_user_comments_data:
            if id not in [item["annotation_id"] for item in unique_ordered_comments_data]:
                unique_ordered_comments_data.append(
                    {"annotation_id": id, "latest_comment_date": submit_date})
        commented_annotations = Annotation.objects.filter(id__in=[item["annotation_id"] for item in unique_ordered_comments_data]).prefetch_related(
            'current_revision',
            'revisions',
            'image',
            'image__item',
            'image__item__collection'
        ).distinct()
        sorted_annotations_list = []
        for comment_data in unique_ordered_comments_data:
            annotation_obj = commented_annotations.get(
                id=comment_data["annotation_id"])
            sorted_annotations_list.append(
                {
                    "annotation_obj": annotation_obj,
                    "comment_count_for_user": user_comments.filter(object_pk=annotation_obj.id).count(),
                    "latest_comment_date": comment_data["latest_comment_date"]
                }
            )
        return sorted_annotations_list


class Annotation(models.Model):
    """
        Annotation objects are created on a given image, each annotation have a
        list of revisions to keep track of its history, the latest revision is
        the 'current revision' that will be displayed by default in most pages.

        Annotation data (title, description, fragment) is thus stored in the revision.

        Annotations can be considered validated or not depending on the metacategories
        posted in their comments through the attribute validation_state. Their
        validation state can also be overriden and in such case we can use
        validation_state_overriden attribute to remember it in the model (so for
        instance if an admin un-validates an annotation we could block it from
        being validated again)
    """
    UNVALIDATED = 0
    VALIDATED = 1
    VALIDATION_STATES = (
        (UNVALIDATED, 'unvalidated'),
        (VALIDATED, 'validated'),
    )
    annotation_guid = models.UUIDField(default=uuid.uuid4, editable=False)
    image = models.ForeignKey(
        'Image', related_name='annotations', on_delete=models.CASCADE)
    source_revision = models.ForeignKey(
        'AnnotationRevision', related_name='source_related_annotation', blank=True, null=True)
    current_revision = models.OneToOneField(
        'AnnotationRevision', related_name='current_for_annotation', blank=True, null=True)
    author = models.ForeignKey(User, null=True)
    created = models.DateTimeField(auto_now_add=True, null=True)
    comments = GenericRelation(
        'IconolabComment', content_type_field='content_type_id', object_id_field='object_pk')
    validation_state = models.IntegerField(
        choices=VALIDATION_STATES, default=UNVALIDATED)
    validation_state_overriden = models.BooleanField(default=False)

    objects = AnnotationManager()

    def __str__(self):
        return str(self.annotation_guid) + ":" + self.current_revision.title

    @property
    def awaiting_revisions_count(self):
        return self.revisions.filter(state=AnnotationRevision.AWAITING).distinct().count()

    @property
    def accepted_revisions_count(self):
        return self.revisions.filter(state=AnnotationRevision.ACCEPTED).distinct().count()

    @property
    def rejected_revisions_count(self):
        return self.revisions.filter(state=AnnotationRevision.REJECTED).distinct().count()

    @property
    def studied_revisions_count(self):
        return self.revisions.filter(state=AnnotationRevision.STUDIED).distinct().count()

    @property
    def total_revisions_count(self):
        return self.revisions.distinct().count()

    @property
    def collection(self):
        return self.image.collection

    @property
    def tag_labels(self):
        current_revision_tags = json.loads(
            self.current_revision.get_tags_json())
        return [tag_infos['tag_label'] for tag_infos in current_revision_tags if tag_infos.get('tag_label') is not None]

    def latest_revision_for_user(self, user):
        user_revisions = self.revisions.filter(creator=user)
        if user_revisions.exists():
            return user_revisions.filter(creator=author).order_by("-created").first()
        return None

    @transaction.atomic
    def make_new_revision(self, author, title, description, fragment, tags_json):
        """
            Called to create a new revision, potentially from a merge
        """
        if author == self.author:
            # We're creating an automatically accepted revision
            new_revision_state = AnnotationRevision.ACCEPTED
        else:
            # Revision will require validation
            new_revision_state = AnnotationRevision.AWAITING
        new_revision = AnnotationRevision(
            annotation=self,
            parent_revision=self.current_revision,
            title=title,
            description=description,
            author=author,
            fragment=fragment,
            state=new_revision_state
        )
        new_revision.save()
        new_revision.set_tags(tags_json)
        if new_revision.state == AnnotationRevision.ACCEPTED:
            self.current_revision = new_revision
            self.save()
        iconolab_signals.revision_created.send(
            sender=AnnotationRevision, instance=new_revision)
        return new_revision

    @transaction.atomic
    def validate_existing_revision(self, revision_to_validate):
        """
            Called when we're validating an awaiting revision whose parent is
            the current revision AS IT WAS CREATED
        """
        if revision_to_validate.parent_revision == self.current_revision and revision_to_validate.state == AnnotationRevision.AWAITING:
            self.current_revision = revision_to_validate
            revision_to_validate.state = AnnotationRevision.ACCEPTED
            revision_to_validate.save()
            self.save()
            iconolab_signals.revision_accepted.send(
                sender=AnnotationRevision, instance=revision_to_validate)

    @transaction.atomic
    def reject_existing_revision(self, revision_to_reject):
        """
             Called when we reject a revision
        """
        if revision_to_reject.state == AnnotationRevision.AWAITING:
            revision_to_reject.state = AnnotationRevision.REJECTED
            revision_to_reject.save()
            iconolab_signals.revision_rejected.send(
                sender=AnnotationRevision, instance=revision_to_reject)

    @transaction.atomic
    def merge_existing_revision(self, title, description, fragment, tags, revision_to_merge):
        """
            Called when we're validating an awaiting revision whose parent isn't
            the current revision or if the awaiting revision was modified by the annotation author
        """
        merged_revision = self.make_new_revision(
            author=self.author, title=title, description=description, fragment=fragment, tags_json=tags)
        merged_revision.merge_parent_revision = revision_to_merge
        merged_revision.save()
        revision_to_merge.state = AnnotationRevision.STUDIED
        revision_to_merge.save()
        iconolab_signals.revision_accepted.send(
            sender=AnnotationRevision, instance=revision_to_merge)
        self.current_revision = merged_revision
        self.save()
        return merged_revision


class AnnotationStats(models.Model):
    """
        Stats objects for a given annotation, keep count of several values to be
        displayed in annotation pages
    """
    annotation = models.OneToOneField(
        'Annotation', related_name='stats', blank=False, null=False)
    submitted_revisions_count = models.IntegerField(
        blank=True, null=True, default=1)
    awaiting_revisions_count = models.IntegerField(
        blank=True, null=True, default=0)
    accepted_revisions_count = models.IntegerField(
        blank=True, null=True, default=1)
    contributors_count = models.IntegerField(blank=True, null=True, default=1)
    views_count = models.IntegerField(blank=True, null=True, default=0)
    comments_count = models.IntegerField(blank=True, null=True, default=0)
    tag_count = models.IntegerField(blank=True, null=True, default=0)
    metacategories = models.ManyToManyField(
        'MetaCategory',
        through='MetaCategoriesCountInfo',
        through_fields=('annotation_stats_obj', 'metacategory')
    )

    def __str__(self):
        return "stats:for:" + str(self.annotation.annotation_guid)

    @property
    def contributors(self):
        user_ids_list = self.annotation.revisions.filter(
            state__in=[AnnotationRevision.ACCEPTED, AnnotationRevision.STUDIED]
        ).values_list("author__id", flat=True)
        return User.objects.filter(id__in=user_ids_list).distinct()

    @property
    def commenters(self):
        user_ids_list = IconolabComment.objects.filter(
            content_type__app_label="iconolab",
            content_type__model="annotation",
            object_pk=self.annotation.id
        ).values_list("user__id", flat=True)
        return User.objects.filter(id__in=user_ids_list).distinct()

    def set_tags_stats(self):
        self.tag_count = Tag.objects.filter(
            tagginginfo__revision=self.annotation.current_revision).distinct().count()

    @property
    def relevant_tags_count(self, score=settings.RELEVANT_TAGS_MIN_SCORE):
        return TaggingInfo.objects.filter(revision=self.annotation.current_revision, relevancy__gte=score).distinct().count()

    @property
    def accurate_tags_count(self, score=settings.ACCURATE_TAGS_MIN_SCORE):
        return TaggingInfo.objects.filter(revision=self.annotation.current_revision, accuracy__gte=score).distinct().count()

    @transaction.atomic
    def update_stats(self):
        # views_count - Can't do much about views count
        # submitted_revisions_count
        annotation_revisions = self.annotation.revisions
        self.submitted_revisions_count = annotation_revisions.count()
        # aawaiting_revisions_count
        self.awaiting_revisions_count = annotation_revisions.filter(
            state=AnnotationRevision.AWAITING).count()
        # accepted_revisions_count
        self.accepted_revisions_count = annotation_revisions.filter(state=AnnotationRevision.ACCEPTED).count(
        ) + annotation_revisions.filter(state=AnnotationRevision.STUDIED).count()
        # comment_count
        self.comments_count = XtdComment.objects.for_app_models("iconolab.annotation").filter(
            object_pk=self.annotation.pk,
        ).count()
        # contributors_count
        self.contributors_count = len(self.contributors)
        # tag_count

        annotation_comments_with_metacategories = IconolabComment.objects.filter(
            content_type__app_label="iconolab",
            content_type__model="annotation",
            object_pk=self.annotation.id,
            metacategories__collection=self.annotation.image.item.collection
        )
        m2m_objects = MetaCategoriesCountInfo.objects.filter(
            annotation_stats_obj=self)
        for obj in m2m_objects.all():
            obj.count = 0
            obj.save()
        for comment in annotation_comments_with_metacategories.all():
            for metacategory in comment.metacategories.all():
                if metacategory not in self.metacategories.all():
                    MetaCategoriesCountInfo.objects.create(
                        annotation_stats_obj=self, metacategory=metacategory, count=1)
                else:
                    m2m_object = MetaCategoriesCountInfo.objects.filter(
                        annotation_stats_obj=self, metacategory=metacategory).first()
                    m2m_object.count += 1
                    m2m_object.save()
        self.set_tags_stats()
        self.save()


class MetaCategoriesCountInfo(models.Model):
    """
        M2M class to keep a count of a given metacategory on a given annotation.
        Metacategories are linked to comments, themselve linked to an annotation
    """
    annotation_stats_obj = models.ForeignKey(
        'AnnotationStats', on_delete=models.CASCADE)
    metacategory = models.ForeignKey('MetaCategory', on_delete=models.CASCADE)
    count = models.IntegerField(default=1, blank=False, null=False)

    def __str__(self):
        return "metacategory_count_for:" + self.metacategory.label + ":on:" + str(self.annotation_stats_obj.annotation.annotation_guid)


class AnnotationRevision(models.Model):
    """
        AnnotationRevisions objects are linked to an annotation and store the data of the annotation at a given time

        A revision is always in one out of multiple states:

        - Awaiting: the revision has been submitted but must be validated by the
          original author of the related annotation
        - Accepted: the revision has been accepted *as-is* by the author of the
          related annotation (this happens automatically if the revision is created
          by the author of the annotation)
        - Rejected: the revision has been rejected by the author of the related annotation
        - Studied: the revision has been studied by the author of the related
          annotation and was either modified or at the very least compared with the current state
          through the merge interface, thus creating a new revision merging the
          current state with the proposal. At this point the proposal is flagged
          as "studied" to show that the author of the original annotation has considered it
    """
    AWAITING = 0
    ACCEPTED = 1
    REJECTED = 2
    STUDIED = 3

    REVISION_STATES = (
        (AWAITING, 'awaiting'),
        (ACCEPTED, 'accepted'),
        (REJECTED, 'rejected'),
        (STUDIED, 'studied'),
    )

    revision_guid = models.UUIDField(default=uuid.uuid4)
    annotation = models.ForeignKey(
        'Annotation', related_name='revisions', null=False, blank=False)
    parent_revision = models.ForeignKey(
        'AnnotationRevision', related_name='child_revisions', blank=True, null=True)
    merge_parent_revision = models.ForeignKey(
        'AnnotationRevision', related_name='child_revisions_merge', blank=True, null=True)
    author = models.ForeignKey(User, null=True)
    title = models.CharField(max_length=255)
    description = models.TextField(null=True)
    fragment = models.TextField()
    tags = models.ManyToManyField(
        'Tag', through='TaggingInfo', through_fields=('revision', 'tag'))
    state = models.IntegerField(choices=REVISION_STATES, default=AWAITING)
    created = models.DateTimeField(auto_now_add=True, null=True)

    def __str__(self):
        return str(self.revision_guid) + ":" + self.title

    def set_tags(self, tags_json_string):
        """
            This method creates tags object and links them to the revision, from a given json that has the following format:

            [
                {
                    "tag_input": the tag string that has been provided. If it is
                       an http(s?):// pattern, it means the tag is external, else
                       it means it is a custom tag
                    "accuracy": the accuracy value provided by the user
                    "relevancy": the relevancy value provided by the user
                },
                {
                   ...
                }
            ]
        """
        try:
            tags_dict = json.loads(tags_json_string)
        except ValueError:
            pass
        for tag_data in tags_dict:
            tag_string = tag_data.get("tag_input")
            tag_label = tag_data.get("tag_label")
            tag_accuracy = tag_data.get("accuracy", 0)
            tag_relevancy = tag_data.get("relevancy", 0)

            # check if url
            if tag_string.startswith("http://") or tag_string.startswith("https://"):
                # check if tag already exists
                if Tag.objects.filter(link=tag_string).exists():
                    tag_obj = Tag.objects.get(link=tag_string)
                else:
                    tag_obj = Tag.objects.create(
                        link=tag_string,
                        label=tag_label
                    )
            else:
                new_tag_link = settings.BASE_URL + '/' + slugify(tag_string)
                if Tag.objects.filter(link=new_tag_link).exists():
                    # Somehow we received a label for an existing tag
                    tag_obj = Tag.objects.get(link=new_tag_link)
                else:
                    tag_obj = Tag.objects.create(
                        label=tag_string,
                        label_slug=slugify(tag_string),
                        description="",
                        link=settings.INTERNAL_TAGS_URL +
                        '/' + slugify(tag_string),
                        collection=self.annotation.image.item.collection
                    )
            tag_info = TaggingInfo.objects.create(
                tag=tag_obj,
                revision=self,
                accuracy=tag_accuracy,
                relevancy=tag_relevancy
            )

    # FIXME Avoid calling DBPedia all the time
    def get_tags_json(self):
        """
            This method returns the json data that will be sent to the js to display
            tags for the revision.

            The json data returned will be of the following format:

            [
                {
                        "tag_label": the tag label for display purposes,
                        "tag_link": the link of the tag, for instance for dbpedia links,
                        "accuracy": the accuracy value of the tag,
                        "relevancy": the relevancy value of the tag,
                        "is_internal": will be True if the tag is 'internal',
                          meaning specific to Iconolab and
                        not an external tag like a dbpedia reference for instance
                },
                {
                    ...
                }
            ]
        """
        def fetch_from_dbpedia(uri, lang, source):
            sparql_template = 'select distinct * where { <<%uri%>> rdfs:label ?l FILTER( langMatches( lang(?l), "<%lang%>" ) ) }'
            sparql_query = re.sub("<%uri%>", uri, re.sub(
                "<%lang%>", lang, sparql_template))
            sparql_query_url = source + 'sparql'
            try:
                dbpedia_resp = requests.get(
                    sparql_query_url,
                    params={
                        "query": sparql_query,
                        "format": "json"
                    }
                )
            except:
                # dbpedia is down, will be handled with database label
                pass
            try:
                results = json.loads(dbpedia_resp.text).get("results", {})
            except:
                # if error with json, results is empty
                results = {}
            variable_bindings = results.get("bindings", None)
            label_data = {}
            if variable_bindings:
                label_data = variable_bindings.pop()
            return label_data.get("l", {"value": False}).get("value")

        final_list = []
        for tagging_info in self.tagginginfo_set.select_related("tag").all():
            if tagging_info.tag.is_internal():
                final_list.append({
                    "tag_label": tagging_info.tag.label,
                    "tag_link": tagging_info.tag.link,
                    "accuracy": tagging_info.accuracy,
                    "relevancy": tagging_info.relevancy,
                    "is_internal": tagging_info.tag.is_internal()
                })
            else:
                tag_link = tagging_info.tag.link
                # import label from external
                externaL_repos_fetch_dict = {
                    "http://dbpedia.org/": fetch_from_dbpedia,
                    "http://fr.dbpedia.org/": fetch_from_dbpedia
                }
                try:
                    (source, fetch_label) = next(
                        item for item in externaL_repos_fetch_dict.items() if tag_link.startswith(item[0]))
                    tag_label = fetch_label(tag_link, "fr", source)
                    if not tag_label:  # Error happened and we got False as a fetch return
                        tag_label = tagging_info.tag.label
                    else:
                        tagging_info.tag.label = tag_label
                        tagging_info.tag.save()
                    final_list.append({
                        "tag_label": tag_label,
                        "tag_link": tag_link,
                        "accuracy": tagging_info.accuracy,
                        "relevancy": tagging_info.relevancy,
                        "is_internal": tagging_info.tag.is_internal()
                    })
                except StopIteration:
                    pass
        return json.dumps(final_list)


class Tag(models.Model):
    """
        Tag objects that are linked to revisions.

        Each tag is linked to a specific collection, this is important for internal tags
        so each collection can build its own vocabulary
    """
    label = models.CharField(max_length=255, blank=True, null=True)
    label_slug = models.SlugField(blank=True, null=True)
    link = models.URLField(unique=True)
    description = models.CharField(max_length=255, blank=True, null=True)
    collection = models.ForeignKey('Collection', blank=True, null=True)

    def is_internal(self):
        return self.link.startswith(settings.INTERNAL_TAGS_URL)

    def __str__(self):
        return "Tag:" + self.label


class TaggingInfo(models.Model):
    """
        M2M object for managing tag relation to a revision with its associated
        relevancy and accuracy
    """
    revision = models.ForeignKey(
        'AnnotationRevision', on_delete=models.CASCADE)
    tag = models.ForeignKey('Tag', on_delete=models.CASCADE)
    accuracy = models.IntegerField()
    relevancy = models.IntegerField()

    def __str__(self):
        return str(str(self.tag.label) + ":to:" + str(self.revision.revision_guid))


class IconolabComment(XtdComment):
    """
        Comment objects that extends XtdComment model, itself extending the
        django-contrib-comments model.

        Each comment can have 0 or 1 revision, if it is a comment created alongside a revision
        Each comment can have a set of metacategories
    """
    revision = models.ForeignKey(
        'AnnotationRevision', related_name='creation_comment', null=True, blank=True)
    metacategories = models.ManyToManyField(
        'MetaCategory', through='MetaCategoryInfo', through_fields=('comment', 'metacategory'))

    objects = XtdComment.objects

    def __str__(self):
        return str(self.id)

    class Meta:
        ordering = ["thread_id", "id"]

    @property
    def annotation(self):
        if self.content_type.app_label == "iconolab" and self.content_type.model == "annotation":
            return Annotation.objects.get(pk=self.object_pk)
        return None

    def get_comment_page(self):
        """
            Shortcut function to get page for considered comment, with
            COMMENTS_PER_PAGE_DEFAULT comments per page, used for notifications links generation
        """
        return (IconolabComment.objects.for_app_models("iconolab.annotation").filter(
            object_pk=self.object_pk,
        ).filter(thread_id__gte=self.thread_id).filter(order__lte=self.order).count() + 1) // settings.COMMENTS_PER_PAGE_DEFAULT + 1


class MetaCategory(models.Model):
    """
        Metacategories are objects that can be linked to a comment to augment it
        with meaning (depending on the metacategories defined for a given collection)

        Metacategories can trigger notifications when they are linked to a given
        coment depending on their trigger_notifications property:

            - NONE : Notifies nobody
            - CONTRIBUTORS : Notifies contributors (revision owners) on target annotation
            - COMMENTERS : Notifies commenters (contributors + comment owners) on target annotation
            - COLLECTION_ADMINS : Notifies collection admins

        Metacategories can be used to consider an annotation as "validated" if a
        certain agreement threshold is reached using their validation_value property

            - NEUTRAL : The metacategory doesn't affect the validation state
            - AGREEMENT : The metacategory can be used to validate the annotation
              when linked to a comment on said annotation
            - DISAGREEMENT : The metacategory can be used to unvalidate the annotation
              when linked to a comment on said annotation

    """
    NONE = 0
    CONTRIBUTORS = 1
    COMMENTERS = 2
    COLLECTION_ADMINS = 3
    NOTIFIED_USERS = (
        (NONE, 'none'),
        (CONTRIBUTORS, 'contributors'),
        (COMMENTERS, 'commenters'),
        (COLLECTION_ADMINS, 'collection admins'),
    )

    NEUTRAL = 0
    AGREEMENT = 1
    DISAGREEMENT = 2
    VALIDATION_VALUES = (
        (NEUTRAL, 'neutral'),
        (AGREEMENT, 'agreement'),
        (DISAGREEMENT, 'disagreement'),
    )

    collection = models.ForeignKey(Collection, related_name="metacategories")
    label = models.CharField(max_length=255)
    triggers_notifications = models.IntegerField(
        choices=NOTIFIED_USERS, default=NONE)
    validation_value = models.IntegerField(
        choices=VALIDATION_VALUES, default=NEUTRAL)

    def __str__(self):
        return self.label + ":" + self.collection.name


class MetaCategoryInfo(models.Model):
    """
        M2M class linking comments and metacategories
    """
    comment = models.ForeignKey('IconolabComment', on_delete=models.CASCADE)
    metacategory = models.ForeignKey('MetaCategory', on_delete=models.CASCADE)

    def __str__(self):
        return "metacategory:" + self.metacategory.label + ":on:" + self.comment.id


class CommentAttachement(models.Model):
    """
        This class is supposed to represent added resources to a given comment
        Not implemented as of v0.0.19
    """
    LINK = 0
    IMAGE = 1
    PDF = 2
    COMMENT_CHOICES = (
        (LINK, 'link'),
        (IMAGE, 'image'),
        (PDF, 'pdf')
    )

    comment = models.ForeignKey(
        'IconolabComment', related_name='attachments', on_delete=models.CASCADE)
    attachment_type = models.IntegerField(choices=COMMENT_CHOICES, default=0)
    data = models.TextField(blank=False)


class UserProfile(models.Model):
    """
        UserProfile objects are extensions of user model

        As of v0.0.19 they are used to define collection admins. Each user can
        thus managed 0-N collections.
    """
    user = models.OneToOneField(
        User, related_name='profile', on_delete=models.CASCADE)
    managed_collections = models.ManyToManyField(
        'Collection', related_name='admins', blank=True)

    def __str__(self):
        return "profile:" + self.user.username
