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# ===================================================================
# .gitignore for a FastAPI (Python) + Vue.js (Node.js) Project
# ===================================================================
*.db
.vscode
**/config.json
# --- General ---
#忽略所有 .env 文件，只提交 .env.example 模板
.env
.env.*
!.env.example
#日志文件
*.log
*.log*
#临时文件
*~
*.swp
*.swo
# ===================================================================
# Python / FastAPI (Backend)
# ===================================================================
#虚拟环境 (常见的名称：venv, env, .venv, .env)
#使用斜杠 / 确保只匹配根目录下的，避免误伤子目录
/venv/
/env/
/.venv/
/.env/
# Python 缓存文件
__pycache__/
*.py[cod]
*$py.class
#运行时文件
*.pyc
#单元测试和覆盖率报告
.pytest_cache/
.coverage
.coverage.*
/htmlcov/
nosetests.xml
coverage.xml
# Sphinx 文档
/docs/_build/
# Jupyter Notebook 检查点
.ipynb_checkpoints
#数据库文件 (开发时使用的本地数据库)
*.sqlite3
db.sqlite3
# ===================================================================
# Node.js / Vue.js (Frontend)
# ===================================================================
#依赖目录 (最重要的规则！)
/node_modules/
#本地环境配置文件 (Vue CLI 和 Vite 的标准)
.env.local
.env.*.local
#构建输出目录 (Vue CLI, Vite, etc.)
/dist/
/public/build/
#日志文件
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
# Vite 缓存
.vite/
# ===================================================================
# IDE 和编辑器配置
# ===================================================================
# VSCode
#忽略所有 .vscode 下的文件，但保留团队共享的配置
.vscode/*
!.vscode/settings.json
!.vscode/extensions.json
!.vscode/launch.json
# JetBrains / PyCharm
.idea/
# Sublime Text
*.sublime-project
*.sublime-workspace
# Atom
.atom/
# ===================================================================
# 操作系统生成的文件
# ===================================================================
# macOS
.DS_Store
.AppleDouble
.LSOverride
._*
.Spotlight-V100
.Trashes
# Windows
Thumbs.db
ehthumbs.db
Desktop.ini
$RECYCLE.BIN/

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# Dockerfile
# 1. 使用官方 Python 基础镜像
FROM python:3.11-slim
# 2. 设置环境变量
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# 3. 设置工作目录
WORKDIR /app
# 4. 复制依赖文件并安装
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# 5. 复制所有项目文件到工作目录
COPY . .
# 6. 暴露端口
EXPOSE 8000
# 7. 启动命令
# CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
# 使用python启动，以支持命令行参数
CMD ["python", "main.py", "--host", "0.0.0.0", "--port", "8000", "--config", "/app/configs/config.yaml"]

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THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.

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api_key: "test" # 访问你的 API 时需要提供的密钥
tmdb:
api_key: "e17357eea1c7c15f9c04c280f11d0edd" # 从 The Movie Database 官网申请
douban:
# 从浏览器开发者工具中获取，并粘贴在这里。可以为空。
cookie: 'bid=y1YNlt5QwAc; ll="118239"; ap_v=0,6.0; dbcl2="55961711:kwIGLRCCh+A"; ck=NJOB; frodotk_db="7b643abfa8b8bde0722cb03efa2a39a0"; push_noty_num=0; push_doumail_num=0'
redis:
host: "192.168.1.3" # Docker 部署时会改为 "redis"
port: 6379
db: 0
cache_ttl_seconds: 3600 # 缓存过期时间 (1小时)
# 你的图床配置
uploader:
enable: false # 是否启用你自己的图床 (false 则直接用豆瓣/TMDB的图片链接)
api_url: "http://your-image-host.com/upload"
api_key: "YOUR_IMAGE_HOST_API_KEY"

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version: '3.8'
services:
app:
build: .
container_name: pt-gen-app
ports:
- "8000:8000" # 将主机的 8000 端口映射到容器的 8000 端口
volumes:
- ./configs:/app/configs # 将主机的 configs 目录映射到容器内
environment:
# 如果需要，可以在这里用环境变量覆盖配置
# Pydantic-settings 会自动识别
# 例如：PT_GEN_REDIS_HOST=redis
# (注意: pydantic-settings 默认用下划线分割，全大写)
- TZ=Asia/Shanghai
depends_on:
- redis
restart: unless-stopped
redis:
image: "redis:7-alpine"
container_name: pt-gen-redis
volumes:
- redis_data:/data
restart: unless-stopped
volumes:
redis_data:

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import uvicorn
from fastapi import FastAPI
from contextlib import asynccontextmanager
import argparse
from pt_gen.core import config
from pt_gen.api import endpoints
from pt_gen.api.endpoints import get_orchestrator
@asynccontextmanager
async def lifespan(app: FastAPI):
# 应用启动时
print("应用启动...")
# 预热依赖：第一次调用 get_orchestrator 来创建实例并建立 redis 连接
orchestrator = get_orchestrator()
print("Orchestrator 实例已创建。")
yield
# 应用关闭时
print("应用关闭，关闭 Redis 连接...")
# 获取实例并关闭连接
orchestrator = get_orchestrator()
await orchestrator.cache.close()
print("Redis 连接已关闭。")
app = FastAPI(title="PT-Gen API", lifespan=lifespan)
app.include_router(endpoints.router, prefix="/api", tags=["Generator"])
@app.get("/", tags=["Root"])
def read_root():
return {"message": "Welcome to PT-Gen API"}
if __name__ == "__main__":
# 解析命令行参数来获取 host 和 port
parser = argparse.ArgumentParser(description="Run PT-Gen API server.")
parser.add_argument("--host", type=str, default="127.0.0.1", help="Host to bind")
parser.add_argument("--port", type=int, default=8000, help="Port to listen on")
parser.add_argument("--config", type=str, default="configs/config.yaml", help="Path to the config file")
cli_args = parser.parse_args()
uvicorn.run(
"main:app",
host=cli_args.host,
port=cli_args.port,
reload=True # 开发时开启，生产环境应为 False
)

0
pt_gen/__init__.py Normal file
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0
pt_gen/api/__init__.py Normal file
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pt_gen/api/endpoints.py Normal file
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from fastapi import APIRouter, Depends, Header, HTTPException, status
from pydantic import BaseModel
from typing import Optional
from pt_gen.core.config import get_settings, Settings
from pt_gen.core.orchestrator import InfoOrchestrator
router = APIRouter()
from functools import lru_cache
@lru_cache()
def get_orchestrator():
# 注意这里 get_settings() 会被自动调用和缓存
return InfoOrchestrator(settings=get_settings())
# API Key 验证依赖，现在它也依赖于 get_settings
async def verify_api_key(
x_api_key: str = Header(...),
settings: Settings = Depends(get_settings)
):
if x_api_key != settings.api_key:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid API Key",
)
class GenRequest(BaseModel):
url: str
@router.post(
"/gen",
response_model=str,
dependencies=[Depends(verify_api_key)]
)
async def generate_description(
request: GenRequest,
orchestrator: InfoOrchestrator = Depends(get_orchestrator)
):
"""
根据传入的豆瓣链接，生成格式化的介绍文本。
"""
result = await orchestrator.generate_info(request.url)
if not result or "无效" in result:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=result or "无法生成信息，请检查链接。",
)
return result

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import yaml
from functools import lru_cache
from pydantic import BaseModel
from pydantic_settings import BaseSettings
from typing import Optional
CONFIG_PATH = "configs/config.yaml"
class TMDBConfig(BaseModel):
api_key: Optional[str] = None
class DoubanConfig(BaseModel):
cookie: Optional[str] = None
class RedisConfig(BaseModel):
host: str
port: int
db: int
cache_ttl_seconds: int
class UploaderConfig(BaseModel):
enable: bool
api_url: str
api_key: str
class Settings(BaseSettings):
api_key: str
tmdb: TMDBConfig
douban: DoubanConfig
redis: RedisConfig
uploader: UploaderConfig
def set_config_path(path: str = "configs/config.yaml"):
"""允许在启动时设置配置文件路径"""
global CONFIG_PATH
CONFIG_PATH = path
@lru_cache() # 使用 lru_cache 确保配置文件只被读取和解析一次
def get_settings() -> Settings:
"""
加载并返回配置对象。
这是一个可被 FastAPI 依赖注入的函数。
"""
try:
with open(CONFIG_PATH, 'r', encoding='utf-8') as f:
config_data = yaml.safe_load(f)
return Settings.parse_obj(config_data)
except FileNotFoundError:
raise RuntimeError(f"配置文件未找到: {CONFIG_PATH}")
except Exception as e:
raise RuntimeError(f"加载配置文件失败: {e}")

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import re
from typing import Optional
from jinja2 import Environment, FileSystemLoader
from pt_gen.core.config import Settings
from pt_gen.models.movie import MovieInfo
from pt_gen.services.cache import RedisCache
from pt_gen.services.douban import DoubanScraper
from pt_gen.services.tmdb import TMDBClient
from pt_gen.services.uploader import ImageUploader
class InfoOrchestrator:
def __init__(self, settings: Settings):
self.settings = settings
self.tmdb = TMDBClient(api_key=self.settings.tmdb.api_key)
self.douban = DoubanScraper(cookie=self.settings.douban.cookie)
self.cache = RedisCache(
host=self.settings.redis.host,
port=self.settings.redis.port,
db=self.settings.redis.db
)
if self.settings.uploader.enable:
self.uploader = ImageUploader(
api_url=self.settings.uploader.api_url,
api_key=self.settings.uploader.api_key
)
else:
self.uploader = None
self.jinja_env = Environment(loader=FileSystemLoader('templates'))
def _extract_douban_id(self, url: str) -> Optional[str]:
match = re.search(r'douban\.com/subject/(\d+)', url)
return match.group(1) if match else None
def _extract_imdb_id(self, url: str) -> Optional[str]:
match = re.search(r'imdb\.com/title/(tt\d+)', url)
return match.group(1) if match else None
def _extract_tmdb_id(self, url: str) -> Optional[str]:
match = re.search(r'themoviedb\.org/(?:movie|tv)/(\d+)', url)
return match.group(1) if match else None
async def generate_info(self, url: str) -> Optional[str]:
# --- 步骤 1: 识别URL类型并提取初始ID ---
douban_id = self._extract_douban_id(url)
imdb_id = self._extract_imdb_id(url)
tmdb_id = self._extract_tmdb_id(url)
if not (douban_id or imdb_id or tmdb_id):
return "无效或不支持的链接。请输入有效的豆瓣、IMDb或TMDB链接。"
# --- 步骤 2: ID 补全 (以 IMDb ID 为核心) ---
# 如果从 TMDB 链接开始，先找到 IMDb ID
if tmdb_id and not imdb_id:
details = await self.tmdb.get_movie_details(tmdb_id)
if details and details.get('imdb_id'):
imdb_id = details['imdb_id']
# 如果从豆瓣链接开始，爬取豆瓣页面来找到 IMDb ID
if douban_id and not imdb_id:
# 临时爬一次，只为获取 IMDb ID
temp_douban_data = await self.douban.scrape_movie_info(douban_id)
if temp_douban_data.get('imdb_id'):
imdb_id = temp_douban_data['imdb_id']
# --- 步骤 3: 查缓存 (使用唯一的 IMDb ID 作为 key) ---
if imdb_id:
cache_key = f"movieinfo:{imdb_id}"
cached_result = await self.cache.get(cache_key)
if cached_result:
print(f"命中缓存: {cache_key}")
return cached_result
else:
# 如果没有IMDb ID (例如一个没有IMDB链接的冷门豆瓣电影), 则用豆瓣ID做缓存key
cache_key = f"movieinfo:douban:{douban_id}"
# --- 步骤 4: 分别获取数据 ---
douban_data = {}
tmdb_data = {}
# 如果有豆瓣ID，就从豆瓣获取数据
if douban_id:
douban_data = await self.douban.scrape_movie_info(douban_id)
if not douban_data:
return "从豆瓣获取信息失败，请检查链接或Cookie。"
# 如果有IMDb ID，就从TMDB获取数据
if imdb_id:
tmdb_find_data = await self.tmdb.find_by_imdb_id(imdb_id)
if tmdb_find_data and tmdb_find_data.get('movie_results'):
# 确保 tmdb_id 被正确设置
tmdb_id = tmdb_find_data['movie_results'][0]['id']
tmdb_data = await self.tmdb.get_movie_details(tmdb_id)
if imdb_id and not tmdb_id:
tmdb_find_data = await self.tmdb.find_by_imdb_id(imdb_id)
if tmdb_find_data and tmdb_find_data.get('movie_results'):
tmdb_id = tmdb_find_data['movie_results'][0]['id']
if tmdb_id:
# 现在 get_movie_details 返回的是干净的数据
tmdb_data = await self.tmdb.get_movie_details(tmdb_id)
# --- 步骤 5: 智能合并数据到 MovieInfo 对象 ---
movie = MovieInfo()
# 优先使用TMDB数据，因为通常更规范
if tmdb_data:
movie.tmdb_id = tmdb_data.get('id')
movie.imdb_id = tmdb_data.get('imdb_id')
movie.original_title = tmdb_data.get('original_title')
movie.chinese_title = tmdb_data.get('title')
movie.aka_titles = tmdb_data.get('aka_titles', [])
movie.year = tmdb_data.get('release_date', '')[:4]
movie.release_date = tmdb_data.get('release_date')
movie.runtime = tmdb_data.get('runtime')
movie.spoken_languages = tmdb_data.get('spoken_languages', [])
movie.tagline = tmdb_data.get('tagline')
movie.imdb_rating = f"{tmdb_data.get('vote_average', 0):.1f}/10"
movie.directors = tmdb_data.get('directors', [])
movie.writers = tmdb_data.get('writers', [])
movie.actors = tmdb_data.get('actors', [])
movie.genres = tmdb_data.get('genres', [])
movie.countries = tmdb_data.get('countries', [])
# TMDB的简介可能是空的，先用着，后面会被豆瓣覆盖
movie.synopsis = tmdb_data.get('overview', '')
if tmdb_data.get('poster_path'):
movie.poster_url = f"https://image.tmdb.org/t/p/original{tmdb_data['poster_path']}"
# 使用豆瓣数据进行补充或覆盖
if douban_data:
movie.douban_id = douban_id
movie.douban_link = f"https://movie.douban.com/subject/{douban_id}/"
# 智能填充：如果TMDB没值，才用豆瓣的
movie.chinese_title = movie.chinese_title or douban_data.get('chinese_title')
movie.year = movie.year or douban_data.get('year')
movie.runtime = movie.runtime or douban_data.get('runtime')
movie.spoken_languages = movie.spoken_languages or douban_data.get('spoken_languages', [])
movie.directors = movie.directors or douban_data.get('directors', [])
movie.writers = movie.writers or douban_data.get('writers', [])
movie.actors = movie.actors or douban_data.get('actors', [])
movie.genres = movie.genres or douban_data.get('genres', [])
movie.countries = movie.countries or douban_data.get('countries', [])
movie.poster_url = movie.poster_url or douban_data.get('poster_url')
# 强制覆盖：豆瓣的简介、评分和获奖通常更符合中文区需求
if douban_data.get('synopsis'):
movie.synopsis = douban_data.get('synopsis')
movie.douban_rating = douban_data.get('douban_rating', 'N/A')
movie.awards = douban_data.get('awards', [])
# 确保IMDb链接存在
if movie.imdb_id:
movie.imdb_link = f"https://www.imdb.com/title/{movie.imdb_id}/"
# 确保标题有备用值
if not movie.original_title:
movie.original_title = movie.chinese_title
if not movie.chinese_title:
movie.chinese_title = movie.original_title
# --- 步骤 6: 后续处理 (图片转存、渲染、缓存) ---
if self.uploader and movie.poster_url:
print(f"开始转存图片: {movie.poster_url}")
movie.poster_url = await self.uploader.upload(movie.poster_url)
print(f"转存成功，新URL: {movie.poster_url}")
template = self.jinja_env.get_template('description.jinja2')
final_text = template.render(movie.dict())
# 写入缓存
await self.cache.set(cache_key, final_text, ttl=self.settings.redis.cache_ttl_seconds)
print("\n" + "="*40 + " FINAL RENDERED OUTPUT " + "="*40)
print(final_text)
print("="*103 + "\n")
return final_text

0
pt_gen/models/__init__.py Normal file
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from typing import List, Optional
from pydantic import BaseModel
class MovieInfo(BaseModel):
douban_id: Optional[str] = None
imdb_id: Optional[str] = None
tmdb_id: Optional[int] = None
chinese_title: Optional[str] = None
original_title: Optional[str] = None
aka_titles: List[str] = []
year: Optional[str] = None
poster_url: Optional[str] = None
countries: List[str] = []
genres: List[str] = []
release_date: Optional[str] = None
runtime: Optional[str] = None
douban_rating: Optional[str] = None
douban_link: Optional[str] = None
imdb_rating: Optional[str] = None
imdb_link: Optional[str] = None
directors: List[str] = []
writers: List[str] = []
actors: List[str] = []
spoken_languages: List[str] = []
tagline: Optional[str] = None
synopsis: str = ""
awards: List[str] = []

0
pt_gen/services/__init__.py Normal file
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import redis.asyncio as redis
from typing import Optional
class RedisCache:
def __init__(self, host: str, port: int, db: int):
self.client = redis.Redis(host=host, port=port, db=db, decode_responses=True)
async def get(self, key: str) -> Optional[str]:
return await self.client.get(key)
async def set(self, key: str, value: str, ttl: int):
await self.client.setex(key, ttl, value)
async def close(self):
await self.client.close()

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# pt_gen/services/douban.py
import re
import httpx
from bs4 import BeautifulSoup, NavigableString
from typing import Optional, Dict, List
class DoubanScraper:
def __init__(self, cookie: Optional[str] = None):
self.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8'
}
if cookie:
self.headers['Cookie'] = cookie
def _get_info_text(self, soup_tag: BeautifulSoup, label: str) -> Optional[str]:
"""
一个辅助函数，用于在 #info 块中通过标签名（如“导演”）查找信息。
它查找包含指定标签文本的 <span class="pl"> 元素，然后获取其后的文本内容。
"""
tag = soup_tag.find('span', class_='pl', string=re.compile(label))
if tag:
# next_sibling 可能是 NavigableString, 也可能是 Tag
# 我们需要循环直到找到有意义的文本
next_node = tag.next_sibling
while next_node:
if isinstance(next_node, NavigableString) and next_node.strip():
return next_node.strip().strip(':').strip()
# 如果是 Tag，我们尝试获取它的文本
if hasattr(next_node, 'get_text') and next_node.get_text(strip=True):
return next_node.get_text(strip=True)
next_node = next_node.next_sibling
return None
def _split_info(self, text: Optional[str]) -> List[str]:
"""将通过' / '分隔的字符串拆分为列表"""
if not text:
return []
return [item.strip() for item in text.split(' / ')]
async def scrape_movie_info(self, douban_id: str) -> Dict:
url = f"https://movie.douban.com/subject/{douban_id}/"
try:
async with httpx.AsyncClient(headers=self.headers, follow_redirects=True) as client:
response = await client.get(url, timeout=20)
response.raise_for_status()
except httpx.HTTPStatusError as e:
print(f"请求豆瓣页面失败: {e.response.status_code}")
if e.response.status_code == 403:
print("访问被拒绝 (403 Forbidden)。请检查你的 Cookie 是否有效或 IP 是否被限制。")
return {}
except httpx.RequestError as e:
print(f"请求豆瓣时发生网络错误: {e}")
return {}
soup = BeautifulSoup(response.text, 'html.parser')
info = {}
# 1. 标题和年份
title_tag = soup.find('h1')
if title_tag:
info['chinese_title'] = title_tag.find('span', property='v:itemreviewed').text.strip()
year_span = title_tag.find('span', class_='year')
if year_span:
info['year'] = re.search(r'\((\d{4})\)', year_span.text).group(1)
# 2. 海报
poster_img = soup.find('img', rel='v:image')
if poster_img and poster_img.get('src'):
info['poster_url'] = poster_img['src'].replace('/s_ratio_poster/', '/l_ratio_poster/')
# 3. #info 块的结构化解析
info_div = soup.find('div', id='info')
if info_div:
# 使用辅助函数和分割函数来获取信息
info['directors'] = self._split_info(self._get_info_text(info_div, '导演'))
info['writers'] = self._split_info(self._get_info_text(info_div, '编剧'))
# 主演信息可能跟在a标签后，单独处理
actors_tag = info_div.find('span', class_='actor')
if actors_tag:
actors_list = [a.text.strip() for a in actors_tag.find_all('a')]
info['actors'] = actors_list[:15] # 最多取15个主演
else: # 备用方案
info['actors'] = self._split_info(self._get_info_text(info_div, '主演'))[:15]
info['countries'] = self._split_info(self._get_info_text(info_div, '制片国家/地区'))
info['spoken_languages'] = self._split_info(self._get_info_text(info_div, '语言'))
release_date_text = self._get_info_text(info_div, '上映日期')
if release_date_text:
# 只取第一个上映日期
info['release_date'] = self._split_info(release_date_text)[0]
info['runtime'] = self._get_info_text(info_div, '片长')
info['aka_titles'] = self._split_info(self._get_info_text(info_div, '又名'))
imdb_link_text = self._get_info_text(info_div, 'IMDb')
if imdb_link_text:
imdb_match = re.search(r'(tt\d+)', imdb_link_text)
if imdb_match:
info['imdb_id'] = imdb_match.group(1)
# 4. 类型 (Genres) - property='v:genre' 的方式更可靠
info['genres'] = [g.get_text(strip=True) for g in soup.find_all('span', property='v:genre')]
# 5. 简介
synopsis_span = soup.find('span', property='v:summary')
if synopsis_span:
info['synopsis'] = synopsis_span.get_text(strip=True).replace('\u3000', '')
else: # 备用方案
hidden_synopsis = soup.find('span', class_='all hidden')
if hidden_synopsis:
info['synopsis'] = hidden_synopsis.get_text(strip=True).replace('\u3000', '')
else:
info['synopsis'] = ""
# 6. 评分
rating_strong = soup.find('strong', property='v:average')
info['douban_rating'] = f"{rating_strong.text}/10" if rating_strong and rating_strong.text else "N/A"
# 7. 获奖
awards_ul = soup.find('ul', class_='award')
info['awards'] = [li.get_text(strip=True, separator=' ') for li in awards_ul.find_all('li')] if awards_ul else []
return info

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pt_gen/services/tmdb.py Normal file
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import httpx
from typing import Optional, List, Dict, Any
class TMDBClient:
BASE_URL = "https://api.themoviedb.org/3"
def __init__(self, api_key: str):
self.api_key = api_key
async def _make_request(self, endpoint: str, params: Optional[Dict[str, Any]] = None) -> Optional[Dict[str, Any]]:
if params is None:
params = {}
# 总是包含 api_key 和 language
params['api_key'] = self.api_key
params['language'] = 'zh-CN'
url = f"{self.BASE_URL}{endpoint}"
async with httpx.AsyncClient() as client:
try:
response = await client.get(url, params=params)
response.raise_for_status()
return response.json()
except httpx.HTTPStatusError as e:
print(f"TMDB API 请求失败: {e.response.status_code} for URL: {e.request.url}")
return None
except httpx.RequestError as e:
print(f"TMDB 请求错误: {e}")
return None
async def find_by_imdb_id(self, imdb_id: str) -> Optional[Dict[str, Any]]:
endpoint = f"/find/{imdb_id}"
return await self._make_request(endpoint, params={'external_source': 'imdb_id'})
# --- 重构 get_movie_details 方法 ---
async def get_movie_details(self, tmdb_id: str) -> Optional[Dict[str, Any]]:
params = {
'append_to_response': 'credits,alternative_titles'
}
endpoint = f"/movie/{tmdb_id}"
data = await self._make_request(endpoint, params=params)
if not data:
return None
return self._parse_movie_details(data)
def _parse_movie_details(self, data: Dict[str, Any]) -> Dict[str, Any]:
"""将从 TMDB API 获取的原始数据解析为干净的字典"""
directors = []
if 'credits' in data and 'crew' in data['credits']:
for member in data['credits']['crew']:
if member.get('job') == 'Director':
directors.append(member['name'])
writers = []
writing_jobs = {'Writer', 'Screenplay', 'Story'}
if 'credits' in data and 'crew' in data['credits']:
for member in data['credits']['crew']:
# 检查部门是否为'Writing'并且职位是我们想要的
if member.get('department') == 'Writing':# and member.get('job') in writing_jobs:
# 避免重复添加同一个人
if member['name'] not in writers:
writers.append(member['name'])
actors = []
if 'credits' in data and 'cast' in data['credits']:
for member in data['credits']['cast']:
actors.append(member['name'])
genres = [genre['name'] for genre in data.get('genres', [])]
countries = [country['name'] for country in data.get('production_countries', [])]
aka_titles = []
if 'alternative_titles' in data and 'titles' in data['alternative_titles']:
for item in data['alternative_titles']['titles']:
if item.get('iso_3166_1') == 'CN':
aka_titles.append(item['title'])
runtime_min = data.get('runtime')
runtime = f"{runtime_min}分钟" if runtime_min else None
spoken_languages = [lang['english_name'] for lang in data.get('spoken_languages', [])]
parsed_data = {
"id": data.get('id'),
"imdb_id": data.get('imdb_id'),
"title": data.get('title'),
"original_title": data.get('original_title'),
"overview": data.get('overview'),
"release_date": data.get('release_date', ''),
"runtime": runtime,
"spoken_languages": spoken_languages,
"tagline": data.get('tagline'),
"tagline": data.get('tagline'),
"poster_path": data.get('poster_path'),
"vote_average": data.get('vote_average', 0),
"directors": directors,
"writers": writers,
"actors": actors,
"genres": genres,
"countries": countries,
"aka_titles": aka_titles
}
return parsed_data

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import httpx
from . import uploader
class ImageUploader:
def __init__(self, api_url: str, api_key: str):
self.api_url = api_url
self.api_key = api_key
async def upload(self, image_url: str) -> str:
"""
从一个URL下载图片，然后上传到你自己的图床。
你需要根据你的图床 API 修改这部分代码。
"""
try:
async with httpx.AsyncClient() as client:
# 1. 下载图片
get_resp = await client.get(image_url)
get_resp.raise_for_status()
image_bytes = get_resp.content
# 2. 上传到你的图床
# 这是一个通用示例，你需要修改 files 和 headers
files = {'file': ('poster.jpg', image_bytes, 'image/jpeg')}
headers = {'Authorization': f'Bearer {self.api_key}'}
post_resp = await client.post(self.api_url, files=files, headers=headers)
post_resp.raise_for_status()
# 3. 解析响应，返回新的图片URL
# 假设返回的JSON是 {"data": {"url": "..."}}
return post_resp.json()['data']['url']
except Exception as e:
print(f"图片上传失败: {e}")
return image_url # 上传失败，返回原始URL

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requirements.txt Normal file
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fastapi
uvicorn[standard]
pydantic
pydantic-settings
httpx
beautifulsoup4
jinja2
redis
PyYAML

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templates/description.jinja2 Normal file
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{% if poster_url %}[img]{{ poster_url }}[/img]{% endif %}
◎译　　名　{{ chinese_title or 'N/A' }}{% if aka_titles %} / {{ aka_titles | join(' / ') }}{% endif %}
◎片　　名　{{ original_title or 'N/A' }}
◎年　　代　{{ year or 'N/A' }}
◎产　　地　{{ countries | join(' / ') if countries else 'N/A' }}
◎类　　别　{{ genres | join(' / ') if genres else 'N/A' }}
◎语　　言　{{ spoken_languages | join(' / ') if spoken_languages else 'N/A' }}
◎上映日期　{{ release_date or 'N/A' }}
◎IMDb评分 {{ imdb_rating or 'N/A' }}
{% if imdb_link %}◎IMDb链接 {{ imdb_link }}{% endif %}
◎豆瓣评分　{{ douban_rating or 'N/A' }}
{% if douban_link %}◎豆瓣链接　{{ douban_link }}{% endif %}
◎片　　长　{{ runtime or 'N/A' }}
{% if directors %}
◎导　　演　{{ directors|join(' / ') }}
{% endif %}
{% if writers %}
◎编　　剧　{% for actor in writers %}{{ actor }}
　　　　 　{% endfor %}
{% endif %}
{% if actors %}
◎主　　演　{% for actor in actors %}{{ actor }}
　　　　 　{% endfor %}
{% endif %}
{% if tagline or synopsis %}
◎简　　介
　　{% if tagline %}{{ tagline }}{% endif %}
{{ synopsis | default('暂无相关剧情介绍', true) }}
{% endif %}
{% if awards %}
◎获奖情况
{% for award in awards %}
{{ award }}
{% endfor %}
{% endif %}