#1

main.py

@@ -1,10 +1,14 @@
+"""
+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 TypedDict, cast
+from typing import cast
 
 import nicolib
 import queries_to_answers as q2a
@@ -21,11 +25,18 @@ KIRIBAN_VIEWS_COUNTS: list[int] = sorted ({ *range (1_000, 10_000, 1_000),
                                           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 (),
@@ -35,6 +46,10 @@ async def main (
 
 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)
@@ -43,6 +58,10 @@ async def queries_to_answers (
 
 async def report_kiriban (
 ) -> None:
+    """
+    キリ番祝ひ
+    """
+
     while True:
         if not kiriban_list:
             await wait_until (time (15, 0))
@@ -53,15 +72,7 @@ async def report_kiriban (
             (views_count, video_info, uploaded_at) = (
                     kiriban_list.pop (random.randint (0, len (kiriban_list) - 1)))
 
-        since_posted = datetime.now () - uploaded_at
-        _days = since_posted.days
-        _seconds = since_posted.seconds
-        (_hours, _seconds) = divmod (_seconds, 3600)
-        (_mins, _seconds) = divmod (_seconds, 60)
-
         video_code = video_info['contentId']
-        uri = f"https://www.nicovideo.jp/watch/{ video_code }"
-        (title, description, _) = nicolib.fetch_embed_info (uri)
         comments = fetch_comments (video_code)
         popular_comments = sorted (comments,
                                    key      = lambda c: c.nico_count,
@@ -69,8 +80,9 @@ async def report_kiriban (
         latest_comments = sorted (comments,
                                   key       = lambda c: c.posted_at,
                                   reverse   = True)[:10]
-        prompt = f"{ _days }日{ _hours }時間{ _mins }分{ _seconds }秒前にニコニコに投稿された『{ video_info['title'] }』という動画が{ views_count }再生を突破しました。\n"
-        prompt += f"コメント数は{ len (comments) }件です。\n"
+        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:
@@ -111,6 +123,10 @@ async def report_kiriban (
 
 async def update_kiriban_list (
 ) -> None:
+    """
+    キリ番リストの更新
+    """
+
     while True:
         await wait_until (time (15, 0))
 
@@ -129,6 +145,20 @@ async def update_kiriban_list (
 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
@@ -145,7 +175,7 @@ def fetch_kiriban_list (
                 continue
             previous_views_count: int | None = (
                     VideoHistory
-                    .where_has ('video', lambda q: q.where ('code', code))
+                    .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:
@@ -155,7 +185,8 @@ def fetch_kiriban_list (
             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))
+                                       (cast (Video, Video.where ('code', code).first ())
+                                        .uploaded_at)))
 
     return _kiriban_list
 
@@ -163,20 +194,87 @@ def fetch_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。"""
+            query = Query ()
+            query.user_id = None
+            query.target_character = Character.DEERJIKA.value
+            query.content = prompt
+            query.query_type = QueryType.NICO_REPORT.value
+            query.model = GPTModel.GPT3_TURBO.value
+            query.sent_at = datetime.now ()
+            query.answered = False
+            query.transfer_data = { 'video_code': video['contentId'] }
+            query.save ()
+
+        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:
@@ -184,9 +282,35 @@ async def wait_until (
     await asyncio.sleep ((datetime.combine (d, t) - dt).total_seconds ())
 
 
+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 ((d := datetime.now ()).date ()
-                            - timedelta (days = d.hour < 15)))
+        fetch_kiriban_list ((now := datetime.now ()).date ()
+                            - timedelta (days = now.hour < 15)))
 
 if __name__ == '__main__':
     asyncio.run (main ())

nicolib

@@ -1 +1 @@
-Subproject commit b7a88cc774aa7869678c00abf9f93982e5b6cfb9
+Subproject commit 9fec1cf5f99ca2cb2a9b3ff158027a3416cc5f06

queries_to_answers.py

@@ -1,3 +1,7 @@
+"""
+DB の queries テーブルにたまってゐるクエリを AI に処理させ answers テーブルに流す．
+"""
+
 from __future__ import annotations
 
 import random
@@ -6,12 +10,16 @@ from typing import TypedDict
 
 from nizika_ai.config import DB
 from nizika_ai.consts import AnswerType, Character, Platform
-from nizika_ai.models import Answer, AnsweredFlag, Query, User
+from nizika_ai.models import Answer, AnsweredFlag, Query
 from nizika_ai.talk import Talk
 
 
 def main (
 ) -> None:
+    """
+    メーン処理
+    """
+
     queries: list[Query] = Query.where ('answered', False).get ()
     if not queries:
         return
@@ -48,6 +56,21 @@ def add_answer (
         user_name:  str | None,
         histories:  list[History],
 ) -> None:
+    """
+    AI の返答を DB に積む．
+
+    Parameters
+    ----------
+    query:      Query
+        クエリ
+    character:  Character
+        返答するキャラクタ
+    user_name:  str | None
+        クエリの主
+    histories:  list[History]
+        履歴
+    """
+
     message: str | list[dict[str, str | dict[str, str]]]
     if query.image_url:
         message = [{ 'type': 'text', 'text': query.content },
@@ -69,10 +92,19 @@ def add_answer (
 def add_answered_flags (
         answer: Answer,
 ) -> None:
+    """
+    返答済フラグを付与する．
+
+    Parameters
+    ----------
+    answer: Answer
+        返答モデル
+    """
+
     answer_type:    AnswerType
     try:
         answer_type = AnswerType (answer.answer_type)
-    except Exception:
+    except (TypeError, ValueError):
         return
 
     if answer_type in (AnswerType.YOUTUBE_REPLY,):
@@ -85,6 +117,17 @@ def add_answered_flag (
         answer:     Answer,
         platform:   Platform,
 ) -> None:
+    """
+    返答済フラグを付与する．
+
+    Parameters
+    ----------
+    answer:     Answer
+        返答モデル
+    platform:   Platform
+        プラットフォーム
+    """
+
     answered_flag = AnsweredFlag ()
     answered_flag.answer_id = answer.id
     answered_flag.platform = platform.value
@@ -93,6 +136,10 @@ def add_answered_flag (
 
 
 class History (TypedDict):
+    """
+    会話履歴の 1 要素；ユーザや AI の発話を簡易に保持する型
+    """
+
     role:       str
     content:    str