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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,64 @@ | ||
| import uuid | ||
| import json | ||
|
|
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| from .models import BriefSongModel, ModelState | ||
|
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|
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| class AnalyzeError(Exception): | ||
| pass | ||
|
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|
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| def analyze_text(text): | ||
| def json_fn(each): | ||
| try: | ||
| return each['title'], each['artists_name'] | ||
| except KeyError: | ||
| return None | ||
|
|
||
| def line_fn(line): | ||
| parts = line.split('|') | ||
| if len(parts) == 2 and parts[0]: # title should not be empty | ||
| return (parts[0], parts[1]) | ||
| return None | ||
|
|
||
| try: | ||
| data = json.loads(text) | ||
| except json.JSONDecodeError: | ||
| lines = text.strip().split('\n') | ||
| if lines: | ||
| first_line = lines[0].strip() | ||
| if first_line in ('---', '==='): | ||
| parse_each_fn = line_fn | ||
| items = [each.strip() for each in lines[1:] if each.strip()] | ||
| elif first_line == '```json': | ||
| try: | ||
| items = json.loads(text[7:-3]) | ||
| except json.JSONDecodeError: | ||
| raise AnalyzeError('invalid JSON content inside code block') | ||
| parse_each_fn = json_fn | ||
| else: | ||
| raise AnalyzeError('invalid JSON content') | ||
| else: | ||
| if not isinstance(data, list): | ||
| # should be like [{"title": "xxx", "artists_name": "yyy"}] | ||
| raise AnalyzeError('content has invalid format') | ||
| parse_each_fn = json_fn | ||
| items = data | ||
|
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||
| err_count = 0 | ||
| songs = [] | ||
| for each in items: | ||
| result = parse_each_fn(each) | ||
| if result is not None: | ||
| title, artists_name = result | ||
| song = BriefSongModel( | ||
| source='dummy', | ||
| identifier=str(uuid.uuid4()), | ||
| title=title, | ||
| artists_name=artists_name, | ||
| state=ModelState.not_exists, | ||
| ) | ||
| songs.append(song) | ||
| else: | ||
| err_count += 1 | ||
| return songs, err_count |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,83 @@ | ||
| import logging | ||
| from typing import TYPE_CHECKING | ||
|
|
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| from feeluown.library import BriefSongModel, reverse | ||
| from feeluown.library.text2song import analyze_text, AnalyzeError | ||
| from feeluown.utils.utils import DedupList | ||
|
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||
| try: | ||
| from openai import OpenAI | ||
| except ImportError: | ||
| AI_RADIO_SUPPORTED = False | ||
| else: | ||
| AI_RADIO_SUPPORTED = True | ||
|
|
||
| if TYPE_CHECKING: | ||
| from feeluown.app import App | ||
|
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|
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| logger = logging.getLogger(__name__) | ||
|
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|
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| def song2line(song: BriefSongModel): | ||
| line = reverse(song, as_line=True) | ||
| parts = line.split('#', 1) | ||
| if len(parts) >= 2: | ||
| return parts[1] | ||
| return None | ||
|
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|
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| class AIRadio: | ||
| def __init__(self, app: 'App'): | ||
| self._app = app | ||
|
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| self._messages = [] | ||
| self._unliked_songs = DedupList() | ||
| self._app.playlist.songs_removed.connect(self._on_songs_removed, weak=True) | ||
|
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| self._messages.append({"role": "system", | ||
| "content": self._app.config.AI_RADIO_PROMPT}) | ||
|
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| def fetch_songs_func(self, _): | ||
| client = OpenAI( | ||
| api_key=self._app.config.OPENAI_API_KEY, | ||
| base_url=self._app.config.OPENAI_API_BASEURL, | ||
| ) | ||
| msg_lines = [] | ||
| for song in self._app.playlist.list(): | ||
| if self._app.playlist.is_bad(song): | ||
| continue | ||
| line = song2line(song) | ||
| if line is not None: | ||
| msg_lines.append(line) | ||
| msg = '\n'.join(msg_lines) | ||
| # umsg_lines = [] | ||
| # for song in self._unliked_songs[-10:]: | ||
| # line = song2line(song) | ||
| # if line is not None: | ||
| # umsg_lines.append(line) | ||
| # umsg = '\n'.join(umsg_lines) if umsg_lines else '暂时没有不喜欢的歌曲' | ||
| self._messages.append({ | ||
| "role": "user", | ||
| "content": ( | ||
| f"当前播放列表内容如下：\n{msg}") | ||
| }) | ||
| response = client.chat.completions.create( | ||
| model=self._app.config.OPENAI_MODEL, | ||
| messages=self._messages, | ||
| ) | ||
| msg = response.choices[0].message | ||
| self._messages.append(msg) | ||
| for _msg in self._messages[-2:]: | ||
| logger.info(f"AI radio, message: {dict(_msg)['content']}") | ||
| try: | ||
| songs, err_count = analyze_text(str(msg.content)) | ||
| except AnalyzeError: | ||
| logger.exception('Analyze AI response failed') | ||
| return [] | ||
| logger.info(f'AI recommend {len(songs)} songs, err_count={err_count}') | ||
| return songs | ||
|
|
||
| def _on_songs_removed(self, index, count): | ||
| songs = self._app.playlist[index: index + count] | ||
| self._unliked_songs.extend(songs) |
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