nizika_ai_service/main.py

"""
AI ニジカ常時稼動バッチ
"""

from __future__ import annotations

import asyncio
import random
from asyncio import Lock
from datetime import date, datetime, time, timedelta
from typing import cast

import nicolib
import queries_to_answers as q2a
from db.models import Comment, Video, VideoHistory
from nicolib import VideoInfo
from nizika_ai.consts import Character, GPTModel, QueryType
from nizika_ai.models import Query

KIRIBAN_VIEWS_COUNTS: list[int] = sorted ({ *range (1_000, 10_000, 1_000),
                                            *range (10_000, 1_000_001, 10_000),
                                            114_514, 1_940, 2_450, 5_100,
                                            19_400, 24_500, 51_000, 93_194, 2_424, 242_424, 1_919,
                                            4_545, 194_245, 245_194, 510_245 },
                                          reverse = True)

kiriban_list: list[tuple[int, VideoInfo, datetime]]

watched_videos: set[str] = set ()

lock = Lock ()


async def main (
) -> None:
    """
    メーン処理
    """

    await asyncio.gather (
            queries_to_answers (),
            report_kiriban (),
            report_nico (),
            update_kiriban_list (),
            report_snack_time (),
            report_hot_spring_time ())


async def queries_to_answers (
) -> None:
    """
    クエリ処理
    """

    while True:
        loop = asyncio.get_running_loop ()
        await loop.run_in_executor (None, q2a.main)
        await asyncio.sleep (10)


async def report_kiriban (
) -> None:
    """
    キリ番祝ひ
    """

    while True:
        if not kiriban_list:
            await wait_until (time (15, 0))
            continue

        # キリ番祝ひ
        async with lock:
            (views_count, video_info, uploaded_at) = (
                    kiriban_list.pop (random.randint (0, len (kiriban_list) - 1)))

        video_code = video_info['contentId']
        comments = fetch_comments (video_code)
        popular_comments = sorted (comments,
                                   key      = lambda c: c.nico_count,
                                   reverse  = True)[:10]
        latest_comments = sorted (comments,
                                  key       = lambda c: c.posted_at,
                                  reverse   = True)[:10]
        prompt = (f"{ _format_elapsed (uploaded_at) }前にニコニコに投稿された"
                  f"『{ video_info['title'] }』という動画が{ views_count }再生を突破しました。\n"
                  f"コメント数は{ len (comments) }件です。\n")
        if video_info['tags']:
            prompt += f"つけられたタグは「{ '」、「'.join (video_info['tags']) }」です。\n"
        if comments:
            prompt += f"人気のコメントは次の通りです：「{ '」、「'.join (c.content for c in popular_comments) }」\n"
            if latest_comments != popular_comment:
                prompt += f"最新のコメントは次の通りです：「{ '」、「'.join (c.content for c in latest_comments) }」\n"
        prompt += f"""
概要には次のように書かれています：
```html
{ video_info['description'] }
```
このことについて、何かお祝いメッセージを下さい。
ただし、そのメッセージ内には再生数の数値を添えてください。
また、つけられたタグ、コメントからどのような動画か想像し、説明してください。"""
        _add_query (prompt, QueryType.KIRIBAN, { 'video_code': video_code })

        # 待ち時間計算
        dt = datetime.now ()
        d = dt.date ()
        if dt.hour >= 15:
            d += timedelta (days = 1)
        remain = max (len (kiriban_list), 1)
        td = (datetime.combine (d, time (15, 0)) - dt) / remain
        # まれに時刻跨ぎでマイナスになるため
        if td.total_seconds () < 0:
            td = timedelta (seconds = 0)

        await asyncio.sleep (td.total_seconds ())


async def update_kiriban_list (
) -> None:
    """
    キリ番リストの更新
    """

    while True:
        await wait_until (time (15, 0))

        new_list = fetch_kiriban_list (datetime.now ().date ())
        if not new_list:
            continue

        async with lock:
            have = { k[1]['contentId'] for k in kiriban_list }
            for item in new_list:
                if item[1]['contentId'] not in have:
                    kiriban_list.append (item)
                    have.add (item[1]['contentId'])


def fetch_kiriban_list (
        base_date:  date,
) -> list[tuple[int, VideoInfo, datetime]]:
    """
    キリ番を迎へた動画のリストを取得する．

    Parameters
    ----------
    base_date:  date
        基準日

    Return
    ------
    list[tuple[int, VideoInfo, datetime]]
        動画リスト（キリ番基準再生数、対象動画情報、投稿日時のタプル）
    """

    _kiriban_list: list[tuple[int, VideoInfo, datetime]] = []

    latest_fetched_at = cast (date, (VideoHistory
                                     .where ('fetched_at', '<=', base_date)
                                     .max ('fetched_at')))

    for kiriban_views_count in KIRIBAN_VIEWS_COUNTS:
        targets = { vh.video.code for vh in (VideoHistory
                                             .where ('fetched_at', latest_fetched_at)
                                             .where ('views_count', '>=', kiriban_views_count)
                                             .get ()) }
        for code in targets:
            if code in [kiriban[1]['contentId'] for kiriban in _kiriban_list]:
                continue
            previous_views_count: int | None = (
                    VideoHistory
                    .where_has ('video', lambda q, code = code: q.where ('code', code))
                    .where ('fetched_at', '<', latest_fetched_at)
                    .max ('views_count'))
            if previous_views_count is None:
                previous_views_count = 0
            if previous_views_count >= kiriban_views_count:
                continue
            video_info = nicolib.fetch_video_info (code)
            if video_info is not None:
                _kiriban_list.append ((kiriban_views_count, video_info,
                                       (cast (Video, Video.where ('code', code).first ())
                                        .uploaded_at)))

    return _kiriban_list


def fetch_comments (
        video_code: str,
) -> list[Comment]:
    """
    動画のコメント・リストを取得する．

    Parameters
    ----------
    video_code: str
        ニコニコの動画コード

    Return
    ------
    list[Comment]
        コメント・リスト
    """

    video = Video.where ('code', video_code).first ()
    if video is None:
        return []
    return video.comments


def fetch_latest_deerjika (
) -> VideoInfo | None:
    """
    最新のぼざクリ動画を取得する．

    Return
    ------
    VideoInfo | None
        動画情報
    """

    return nicolib.fetch_latest_video (['伊地知ニジカ',
                                        'ぼざろクリーチャーシリーズ',
                                        'ぼざろクリーチャーシリーズ外伝'])


async def report_nico (
) -> None:
    """
    ニコニコから最新のぼざクリを取得し，まだ報知してゐなかったら報知する．
    """

    while True:
        latest_deerjika = fetch_latest_deerjika ()
        if latest_deerjika and latest_deerjika['contentId'] not in watched_videos:
            video = latest_deerjika
            watched_videos.add (video['contentId'])

            prompt = f"""ニコニコに『{ video['title'] }』という動画がアップされました。
つけられたタグは「{ '」、「'.join (video['tags']) }」です。
概要には次のように書かれています：
```html
{ video['description'] }
```
このことについて、みんなに告知するとともに、ニジカちゃんの感想を教えてください。"""
            _add_query (prompt, QueryType.NICO_REPORT, { 'video_code': video['contentId'] })

        await asyncio.sleep (60)


async def wait_until (
        t:  time,
) -> None:
    """
    指定した時刻まで待つ．

    Parameters
    ----------
    t:  time
        次に実行を続行するまでの時刻
    """

    dt = datetime.now ()
    d = dt.date ()
    if dt.time () >= t:
        d += timedelta (days = 1)
    await asyncio.sleep ((datetime.combine (d, t) - dt).total_seconds ())


async def report_snack_time (
) -> None:
    """
    おやつタイムを報知する．
    """

    while True:
        await wait_until (time (15, 0))
        _add_query ('おやつタイムだ!!!!', QueryType.SNACK_TIME)


async def report_hot_spring_time (
) -> None:
    """
    温泉タイムを報知する．
    """

    while True:
        await wait_until (time (21, 0))
        _add_query ('温泉に入ろう!!!', QueryType.HOT_SPRING)


def _add_query (
        content:        str,
        query_type:     QueryType,
        transfer_data:  dict | None = None,
) -> None:
    query = Query ()
    query.user_id = None
    query.target_character = Character.DEERJIKA.value
    query.content = content
    query.query_type = query_type.value
    query.model = GPTModel.GPT3_TURBO.value
    query.sent_at = datetime.now ()
    query.answered = False
    query.transfer_data = transfer_data
    query.save ()


def _format_elapsed (
        uploaded_at:    datetime,
) -> str:
    """
    指定した時刻から現在までの時間を見やすぃ文字列に変換する．

    Parameters
    ----------
    uploaded_at:    datetime
        基準日時

    Return
    ------
    str
        変換後文字列
    """

    delta = datetime.now () - uploaded_at
    days = delta.days
    seconds = delta.seconds
    (hours, seconds) = divmod (seconds, 3600)
    (mins, seconds) = divmod (seconds, 60)

    return f"{ days }日{ hours }時間{ mins }分{ seconds }秒"


kiriban_list = (
        fetch_kiriban_list ((now := datetime.now ()).date ()
                            - timedelta (days = 1 if now.hour < 15 else 0)))

if __name__ == '__main__':
    asyncio.run (main ())