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6cfe55f aa08cd6 6cfe55f aa08cd6 6cfe55f aa08cd6 6cfe55f aa08cd6 6cfe55f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 | from __future__ import annotations
import json
import os
import uuid
from pathlib import Path
from typing import Callable
from app.article_fetchers.base import ArticleContent, ArticleFetcher
from app.article_fetchers.generic import GenericArticleFetcher
from app.article_fetchers.wechat import WechatArticleFetcher
from app.article_fetchers.xiaohongshu import XiaohongshuArticleFetcher
from app.db.note_dao import load_note, save_note, set_status
from app.db.article_dao import (
create_subscription,
get_article_item,
get_subscription,
link_subscription_item,
list_article_items,
list_subscriptions,
mark_article_summarized,
update_subscription_refresh,
upsert_article_item,
)
from app.enmus.task_status_enums import TaskStatus
from app.gpt.gpt_factory import GPTFactory
from app.models.gpt_model import GPTSource
from app.models.model_config import ModelConfig
from app.models.transcriber_model import TranscriptSegment
from app.services.provider import ProviderService
def _note_output_dir() -> Path:
path = Path(os.getenv("NOTE_OUTPUT_DIR", "note_results"))
path.mkdir(parents=True, exist_ok=True)
return path
class ArticleService:
def __init__(
self,
fetchers: dict[str, ArticleFetcher] | None = None,
gpt_factory: Callable[[str, str], object] | None = None,
):
self.fetchers = fetchers or {
"wechat_mp": WechatArticleFetcher(),
"xiaohongshu": XiaohongshuArticleFetcher(),
"generic_web": GenericArticleFetcher(),
}
self.gpt_factory = gpt_factory or self._create_gpt
def generate_from_url(
self,
url: str,
platform: str,
provider_id: str,
model_name: str,
style: str = "",
extras: str = "",
task_id: str | None = None,
) -> dict:
task_id = task_id or str(uuid.uuid4())
try:
self._update_status(task_id, TaskStatus.PARSING)
article = self._fetcher(platform).fetch(url)
item = upsert_article_item(article)
self._update_status(task_id, TaskStatus.TRANSCRIBING)
gpt = self.gpt_factory(model_name, provider_id)
markdown = gpt.summarize(
GPTSource(
segment=self._segments(article),
title=article.title,
tags="article",
style=style,
extras=extras,
)
)
self._update_status(task_id, TaskStatus.SAVING)
self._write_note_json(
task_id,
article,
markdown,
int(getattr(gpt, "total_tokens", 0) or 0),
)
mark_article_summarized(item.id, task_id)
self._update_status(task_id, TaskStatus.SUCCESS)
self._index_task(task_id)
return {"task_id": task_id, "article_item_id": item.id}
except Exception:
self._update_status(task_id, TaskStatus.FAILED)
raise
def generate_from_content(
self,
url: str,
platform: str,
title: str,
content_text: str,
provider_id: str,
model_name: str,
style: str = "",
extras: str = "",
author_name: str = "",
task_id: str | None = None,
) -> dict:
body = (content_text or "").strip()
if len(body) < 20:
raise ValueError("导入正文过短，无法生成总结")
task_id = task_id or str(uuid.uuid4())
try:
self._update_status(task_id, TaskStatus.PARSING)
article = ArticleContent(
platform=platform or "generic_web",
url=url or f"manual://{task_id}",
article_id=url or task_id,
title=(title or "").strip() or "导入文章",
author_name=author_name,
content_text=body,
raw_metadata={"source": "manual_import"},
)
item = upsert_article_item(article)
self._update_status(task_id, TaskStatus.TRANSCRIBING)
gpt = self.gpt_factory(model_name, provider_id)
markdown = gpt.summarize(
GPTSource(
segment=self._segments(article),
title=article.title,
tags="article",
style=style,
extras=extras,
)
)
self._update_status(task_id, TaskStatus.SAVING)
self._write_note_json(
task_id,
article,
markdown,
int(getattr(gpt, "total_tokens", 0) or 0),
)
mark_article_summarized(item.id, task_id)
self._update_status(task_id, TaskStatus.SUCCESS)
self._index_task(task_id)
return {"task_id": task_id, "article_item_id": item.id}
except Exception:
self._update_status(task_id, TaskStatus.FAILED)
raise
def fetch_only_from_url(self, url: str, platform: str) -> dict:
article = self._fetcher(platform).fetch(url)
item = upsert_article_item(article)
return self._item_payload(item, include_content=True)
def import_only_content(
self,
url: str,
platform: str,
title: str,
content_text: str,
author_name: str = "",
) -> dict:
body = (content_text or "").strip()
if len(body) < 20:
raise ValueError("导入正文过短")
article_id = url or str(uuid.uuid4())
article = ArticleContent(
platform=platform or "generic_web",
url=url or f"manual://{article_id}",
article_id=article_id,
title=(title or "").strip() or "导入文章",
author_name=author_name,
content_text=body,
raw_metadata={"source": "manual_import"},
)
item = upsert_article_item(article)
return self._item_payload(item, include_content=True)
def search(self, platform: str, keyword: str, limit: int = 20) -> dict:
articles = self._fetcher(platform).search(keyword, limit)
items = [upsert_article_item(article) for article in articles]
return {
"platform": platform,
"keyword": keyword,
"status": "ok",
"message": "",
"items": [self._item_payload(item) for item in items],
}
def refresh_subscription(self, subscription_id: int, limit: int = 20) -> dict:
subscription = get_subscription(subscription_id)
if not subscription:
raise ValueError("订阅不存在")
fetcher = self._fetcher(subscription.platform)
if subscription.type == "publisher":
articles = fetcher.fetch_publisher(subscription.query, limit)
reason = f"publisher:{subscription.query}"
else:
articles = fetcher.search(subscription.query, limit)
reason = f"keyword:{subscription.query}"
items = []
for article in articles:
item = upsert_article_item(article)
link_subscription_item(subscription.id, item.id, reason)
items.append(item)
update_subscription_refresh(subscription.id)
return {
"subscription_id": subscription.id,
"count": len(items),
"items": [self._item_payload(item) for item in items],
}
def summarize_item(
self,
item_id: int,
provider_id: str,
model_name: str,
style: str = "",
extras: str = "",
) -> dict:
item = get_article_item(item_id)
if not item:
raise ValueError("文章不存在")
if item.task_id and item.summary_status == "summarized":
return {"task_id": item.task_id, "article_item_id": item.id}
return self.generate_from_url(
url=item.url,
platform=item.platform,
provider_id=provider_id,
model_name=model_name,
style=style,
extras=extras,
)
def list_items(self, subscription_id: int | None = None) -> list[dict]:
return [self._item_payload(item) for item in list_article_items(subscription_id)]
def get_item(self, item_id: int) -> dict:
item = get_article_item(item_id)
if not item:
raise ValueError("文章不存在")
return self._item_payload(item, include_content=True)
def create_subscription(
self,
platform: str,
subscription_type: str,
query: str,
label: str = "",
) -> dict:
subscription = create_subscription(platform, subscription_type, query, label)
return self._subscription_payload(subscription)
def list_subscriptions(self) -> list[dict]:
return [self._subscription_payload(item) for item in list_subscriptions()]
def _fetcher(self, platform: str) -> ArticleFetcher:
if platform not in self.fetchers:
raise ValueError(f"不支持的文章平台：{platform}")
return self.fetchers[platform]
def _item_payload(self, item, include_content: bool = False) -> dict:
payload = {
"id": item.id,
"platform": item.platform,
"title": item.title,
"url": item.url,
"author_name": item.author_name,
"author_id": item.author_id,
"cover_url": item.cover_url,
"published_at": item.published_at,
"summary_status": item.summary_status,
"task_id": item.task_id,
}
if include_content:
payload["content_text"] = (getattr(item, "content_text", "") or "").strip()
if not payload["content_text"] and item.task_id:
payload["content_text"] = self._content_from_note_result(item.task_id)
return payload
def _content_from_note_result(self, task_id: str) -> str:
if not task_id:
return ""
payload = load_note(task_id)
if not payload:
return ""
transcript = payload.get("transcript") or {}
return str(transcript.get("full_text") or "").strip()
def _subscription_payload(self, item) -> dict:
return {
"id": item.id,
"platform": item.platform,
"type": item.type,
"query": item.query,
"label": item.label,
"enabled": item.enabled,
"last_error": item.last_error,
}
def _create_gpt(self, model_name: str, provider_id: str):
provider = ProviderService.get_provider_by_id(provider_id)
if not provider:
raise ValueError("请选择模型和提供者")
return GPTFactory().from_config(
ModelConfig(
api_key=provider["api_key"],
base_url=provider["base_url"],
model_name=model_name,
provider=provider["type"],
name=provider["name"],
)
)
def _segments(self, article: ArticleContent) -> list[TranscriptSegment]:
paragraphs = [p.strip() for p in article.content_text.splitlines() if p.strip()]
if not paragraphs and article.content_text.strip():
paragraphs = [article.content_text.strip()]
return [
TranscriptSegment(start=float(index), end=float(index + 1), text=text)
for index, text in enumerate(paragraphs)
]
def _write_note_json(
self,
task_id: str,
article: ArticleContent,
markdown: str,
total_tokens: int,
) -> None:
segments = self._segments(article)
payload = {
"markdown": markdown,
"transcript": {
"language": "zh",
"full_text": article.content_text,
"segments": [
{"start": segment.start, "end": segment.end, "text": segment.text}
for segment in segments
],
},
"audio_meta": {
"file_path": "",
"title": article.title,
"duration": 0,
"cover_url": article.cover_url,
"platform": article.platform,
"video_id": article.article_id,
"raw_info": {
"source_type": "article",
"url": article.url,
"author_name": article.author_name,
"author_id": article.author_id,
"published_at": article.published_at,
"image_urls": article.image_urls,
**(article.raw_metadata or {}),
},
"video_path": None,
},
"total_tokens": total_tokens,
}
save_note(task_id, payload)
def _update_status(self, task_id: str, status: TaskStatus) -> None:
set_status(task_id, {"status": status.value, "paused": False})
def _index_task(self, task_id: str) -> None:
try:
from app.services.vector_store import VectorStoreManager
VectorStoreManager().index_task(task_id)
except Exception:
pass
|