257 lines
7.8 KiB
Python
257 lines
7.8 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from html import unescape
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import re
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from typing import Any
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from urllib.parse import urljoin
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from urllib.request import Request, urlopen
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DEFAULT_TIMEOUT_SECONDS = 10
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DEFAULT_USER_AGENT = "rss-news-bot/1.0 (+https://news.vanityontour.de)"
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@dataclass(frozen=True)
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class ExtractedArticle:
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title: str | None
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author: str | None
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canonical_url: str | None
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summary: str | None
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content_text: str | None
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images: list[str]
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press_contact: str | None
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extraction_error: str | None = None
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def _clean_text(raw: str | None) -> str | None:
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if not raw:
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return None
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text = unescape(raw)
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text = re.sub(r"<[^>]+>", " ", text)
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text = re.sub(r"\s+", " ", text).strip()
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return text or None
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def _strip_noise(html: str) -> str:
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html = re.sub(r"<script[\s\S]*?</script>", " ", html, flags=re.IGNORECASE)
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html = re.sub(r"<style[\s\S]*?</style>", " ", html, flags=re.IGNORECASE)
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html = re.sub(r"<noscript[\s\S]*?</noscript>", " ", html, flags=re.IGNORECASE)
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return html
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def _meta_content(html: str, attr: str, value: str) -> str | None:
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pattern = re.compile(
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rf"<meta[^>]+{attr}\s*=\s*[\"']{re.escape(value)}[\"'][^>]*content\s*=\s*[\"']([^\"']+)[\"'][^>]*>",
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re.IGNORECASE,
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)
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match = pattern.search(html)
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if match:
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return _clean_text(match.group(1))
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# handle reversed attribute order
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pattern_rev = re.compile(
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rf"<meta[^>]+content\s*=\s*[\"']([^\"']+)[\"'][^>]*{attr}\s*=\s*[\"']{re.escape(value)}[\"'][^>]*>",
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re.IGNORECASE,
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)
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match = pattern_rev.search(html)
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if match:
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return _clean_text(match.group(1))
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return None
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def _extract_title(html: str) -> str | None:
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title = _meta_content(html, "property", "og:title")
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if title:
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return title
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match = re.search(r"<title[^>]*>([\s\S]*?)</title>", html, re.IGNORECASE)
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if match:
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cleaned = _clean_text(match.group(1))
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if cleaned:
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return cleaned
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match = re.search(r"<h1[^>]*>([\s\S]*?)</h1>", html, re.IGNORECASE)
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if match:
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return _clean_text(match.group(1))
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return None
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def _extract_canonical(html: str) -> str | None:
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match = re.search(
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r"<link[^>]+rel\s*=\s*[\"']canonical[\"'][^>]*href\s*=\s*[\"']([^\"']+)[\"'][^>]*>",
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html,
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re.IGNORECASE,
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)
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if match:
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return _clean_text(match.group(1))
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match = re.search(
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r"<link[^>]+href\s*=\s*[\"']([^\"']+)[\"'][^>]*rel\s*=\s*[\"']canonical[\"'][^>]*>",
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html,
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re.IGNORECASE,
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)
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if match:
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return _clean_text(match.group(1))
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return None
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def _extract_author(html: str) -> str | None:
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for attr, value in (("name", "author"), ("property", "article:author"), ("property", "og:article:author")):
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author = _meta_content(html, attr, value)
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if author:
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return author
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for pattern in (
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r"(?:Von|Autor(?:in)?)\s*[:\-]\s*([^<\n\r]{3,120})",
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r"class=[\"'][^\"']*(?:author|byline)[^\"']*[\"'][^>]*>([\s\S]{1,180})<",
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):
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match = re.search(pattern, html, re.IGNORECASE)
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if match:
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author = _clean_text(match.group(1))
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if author:
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return author
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return None
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def _extract_images(html: str, page_url: str) -> list[str]:
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images: list[str] = []
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seen: set[str] = set()
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for prop in ("og:image", "twitter:image"):
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pattern = re.compile(
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rf"<meta[^>]+property\s*=\s*[\"']{re.escape(prop)}[\"'][^>]*content\s*=\s*[\"']([^\"']+)[\"'][^>]*>",
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re.IGNORECASE,
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)
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for match in pattern.finditer(html):
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src = match.group(1).strip()
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abs_src = urljoin(page_url, src)
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if abs_src not in seen:
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seen.add(abs_src)
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images.append(abs_src)
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for match in re.finditer(r"<img[^>]+src\s*=\s*[\"']([^\"']+)[\"'][^>]*>", html, re.IGNORECASE):
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src = match.group(1).strip()
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abs_src = urljoin(page_url, src)
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if abs_src not in seen:
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seen.add(abs_src)
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images.append(abs_src)
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return images
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def _extract_content_text(html: str) -> str | None:
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section = None
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for pattern in (
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r"<article[^>]*>([\s\S]*?)</article>",
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r"<main[^>]*>([\s\S]*?)</main>",
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r"<body[^>]*>([\s\S]*?)</body>",
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):
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match = re.search(pattern, html, re.IGNORECASE)
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if match:
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section = match.group(1)
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break
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if not section:
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section = html
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paragraphs = []
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for match in re.finditer(r"<h[2-4][^>]*>([\s\S]*?)</h[2-4]>", section, re.IGNORECASE):
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text = _clean_text(match.group(1))
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if text and re.search(r"\b(pressekontakt|press contact|kontakt)\b", text, re.IGNORECASE):
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paragraphs.append(text)
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for match in re.finditer(r"<p[^>]*>([\s\S]*?)</p>", section, re.IGNORECASE):
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text = _clean_text(match.group(1))
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if text and len(text) > 2:
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paragraphs.append(text)
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if paragraphs:
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return "\n".join(paragraphs)
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stripped = _clean_text(section)
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return stripped
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def _extract_press_contact(content_text: str | None) -> str | None:
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if not content_text:
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return None
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lines = [line.strip() for line in content_text.split("\n") if line.strip()]
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marker_re = re.compile(r"\b(pressekontakt|press contact|presse\-kontakt)\b", re.IGNORECASE)
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for idx, line in enumerate(lines):
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if marker_re.search(line):
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chunk = [line]
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for nxt in lines[idx + 1 : idx + 6]:
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if re.search(r"\b(original\-content von|ots:|newsroom:)\b", nxt, re.IGNORECASE):
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break
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chunk.append(nxt)
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return _clean_text("\n".join(chunk))
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match = re.search(
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r"(Pressekontakt[\s\S]{0,1200}?)(?:Original-Content von|OTS:|newsroom:|$)",
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content_text,
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re.IGNORECASE,
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)
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if match:
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return _clean_text(match.group(1))
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return None
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def extract_article(url: str, timeout_seconds: int = DEFAULT_TIMEOUT_SECONDS) -> ExtractedArticle:
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try:
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req = Request(
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url=url,
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headers={
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"User-Agent": DEFAULT_USER_AGENT,
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"Accept-Language": "de-DE,de;q=0.9,en;q=0.8",
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},
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)
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with urlopen(req, timeout=timeout_seconds) as resp:
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raw = resp.read()
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charset = resp.headers.get_content_charset() or "utf-8"
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html = raw.decode(charset, errors="replace")
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except Exception as exc:
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return ExtractedArticle(
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title=None,
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author=None,
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canonical_url=None,
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summary=None,
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content_text=None,
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images=[],
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press_contact=None,
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extraction_error=str(exc),
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)
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html = _strip_noise(html)
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title = _extract_title(html)
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author = _extract_author(html)
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canonical_url = _extract_canonical(html)
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summary = _meta_content(html, "name", "description")
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content_text = _extract_content_text(html)
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if not summary and content_text:
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summary = _clean_text(content_text[:320])
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images = _extract_images(html, url)
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press_contact = _extract_press_contact(content_text)
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return ExtractedArticle(
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title=title,
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author=author,
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canonical_url=canonical_url,
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summary=summary,
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content_text=content_text,
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images=images,
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press_contact=press_contact,
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extraction_error=None,
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)
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def extracted_article_to_meta(article: ExtractedArticle) -> dict[str, Any]:
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return {
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"title": article.title,
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"author": article.author,
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"canonical_url": article.canonical_url,
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"summary": article.summary,
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"images": article.images,
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"press_contact": article.press_contact,
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"extraction_error": article.extraction_error,
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}
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