from collections import defaultdict
from dataclasses import dataclass, field
from datetime import datetime
from operator import itemgetter
from typing import Any, Dict, List

from stats_model import StatsModel


@dataclass(kw_only=True)
class BuildDeepStatsModel(StatsModel):
    """Stats model built around calculating stats for original post notes, with additional data dimensions."""
    operation: str = 'build_deep_stats'

    # Note count by interaction month and year for original posts.
    notes_by_interaction_month_and_year: Dict[str, Any] = field(init=False)

    # Top blogs by original post note count.
    top_interactors: List[Dict[str, Any]] = field(init=False)

    def __post_init__(self):
        super().__post_init__()
        self.notes_by_interaction_month_and_year = self.calculate_notes_by_interaction_month_and_year()
        self.top_interactors = self.calculate_top_interactors()

    def calculate_notes_by_interaction_month_and_year(self) -> Dict[str, Any]:
        # https://docs.python.org/3/library/collections.html#defaultdict-objects
        date_map: Dict[str, Any] = {}
        date_map = defaultdict(lambda: {'note_count': 0},
                               date_map)

        # Gathering the results.
        for post_key in self.original_post_map:
            post = self.original_post_map[post_key]
            if 'notes' not in post:
                continue
            notes = post['notes']
            for note in notes:
                note_date_key = datetime.fromtimestamp(note['timestamp']).strftime('%Y-%m-%d')
                sts = date_map[note_date_key]
                sts['date'] = note_date_key
                if note['type'] != 'posted':
                    sts['note_count'] += 1

        return date_map

    def calculate_top_interactors(self) -> List[Dict[str, Any]]:
        top_interactors: defaultdict[str, Dict[str, Any]] = defaultdict(lambda: {'note_count': 0},
                               {})

        # Gathering the results.
        for post_key in self.original_post_map:
            post = self.original_post_map[post_key]
            if 'notes' not in post:
                continue
            notes = post['notes']
            for note in notes:
                person_key = note['blog_name']
                sts = top_interactors[person_key]
                if 'blog_name' not in sts: sts['blog_name'] = person_key
                if 'url' not in sts: sts['url'] = f"https://{person_key}.tumblr.com"
                if note['type'] != 'posted':
                    sts['note_count'] += 1

        # https://stackoverflow.com/a/73050
        return sorted(top_interactors.values(), key=itemgetter('note_count'),
                             reverse=True)