Podcasts werden wie normale RSS-Quellen behandelt (source_type=podcast_feed).
Kein externer bezahlter Dienst, keine lokale Transkription — Monitor nutzt
ausschliesslich vorhandene Transkripte.
Kaskade fuer Transkript-Bezug:
1. Podcasting-2.0-Tag <podcast:transcript> im Feed (SRT/VTT/HTML/JSON)
2. Redaktionelles Manuskript auf der Episodenseite
(Adapter: Dlf, SZ, Spiegel, NDR)
3. YouTube-Captions — Phase 2, optional per yt-dlp
Kein Stufen-Treffer -> Episode verworfen (graceful, kein Error).
Neu:
- src/feeds/podcast_parser.py (eigener Parser, RSS-Heisspfad unveraendert)
- src/feeds/transcript_extractors/ (Plugin-Muster):
__init__.py Dispatcher, Cache-Lookup gegen podcast_transcripts
_common.py HTML-Extraktion, Domain-Matching, httpx-Helper
rss_native.py Stufe 1: Feed-Tag-Parser (SRT/VTT/JSON/HTML)
website_dlf.py Stufe 2: deutschlandfunk.de + Schwester-Domains
website_sz.py Stufe 2: sz.de / sueddeutsche.de
website_spiegel.py Stufe 2: spiegel.de / manager-magazin.de
website_ndr.py Stufe 2: ndr.de
Geaendert:
- src/database.py: idempotente Migration, Tabelle podcast_transcripts als
URL-Cache gegen Mehrfach-Scrape zwischen Lagen
- src/models.py: Pydantic-Pattern von source_type um podcast_feed erweitert
- src/source_rules.py: get_feeds_with_metadata() nimmt source_type-Parameter,
Default rss_feed (RSS-Pfad unveraendert)
- src/agents/orchestrator.py: neue _podcast_pipeline() parallel zu RSS,
WebSearch und Telegram; nur fuer adhoc-Lagen; ohne Podcast-Quellen dormant
Verifikation:
- Migration auf Live-DB erfolgreich (Log: Tabelle podcast_transcripts angelegt)
- Import-/Instanziierungs-Test aller Module bestanden
- can_handle-Tests pro Sender-Adapter positiv + negativ OK
- Live-Scrape gegen Dlf: 22710 Zeichen, gegen SZ: 24918 Zeichen
- Dormant-Test: 0 Podcast-Quellen -> keine neue Codezeile im Refresh
Verwerfbarkeit: rein additiv, RSS-Pfad unberuehrt, Rollback in drei
Schritten (Quellen disablen, git revert, DROP TABLE podcast_transcripts).
171 Zeilen
6.0 KiB
Python
171 Zeilen
6.0 KiB
Python
"""Gemeinsame Helfer fuer Website-Scrape-Adapter.
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HTML-Extraktor ohne externe Abhaengigkeiten (BeautifulSoup nicht in
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requirements.txt). Nutzt Regex fuer robusten Plaintext-Extract aus
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typischen Artikel-Containern.
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"""
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from __future__ import annotations
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import logging
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import re
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from typing import Optional
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from urllib.parse import urlparse
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import httpx
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logger = logging.getLogger("osint.podcast.extractors.common")
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HTTP_TIMEOUT = 20.0
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MIN_TRANSCRIPT_LEN = 500 # Unter 500 Zeichen ist das kein Manuskript, nur Shownotes
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DEFAULT_HEADERS = {
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"User-Agent": "Mozilla/5.0 (compatible; OSINT-Monitor/1.0; +https://monitor.aegis-sight.de)",
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"Accept": "text/html,application/xhtml+xml",
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"Accept-Language": "de-DE,de;q=0.9,en;q=0.8",
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}
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def matches_domain(url: str, domains: tuple[str, ...]) -> bool:
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"""Prueft, ob die URL zu einer der bekannten Sender-Domains gehoert."""
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if not url:
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return False
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try:
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host = urlparse(url).hostname or ""
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host = host.lower().lstrip("www.")
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return any(host == d or host.endswith("." + d) for d in domains)
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except Exception:
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return False
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def episode_url(feed_entry: dict) -> Optional[str]:
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"""Holt die Episoden-Webseite (meist entry.link)."""
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if isinstance(feed_entry, dict):
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return feed_entry.get("link") or feed_entry.get("guid")
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return getattr(feed_entry, "link", None) or getattr(feed_entry, "guid", None)
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async def fetch_html(url: str) -> Optional[str]:
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async with httpx.AsyncClient(timeout=HTTP_TIMEOUT, follow_redirects=True, headers=DEFAULT_HEADERS) as client:
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try:
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resp = await client.get(url)
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resp.raise_for_status()
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return resp.text
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except Exception as e:
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logger.debug(f"HTML-Fetch fehlgeschlagen ({url}): {e}")
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return None
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# --- HTML-Extraktion ------------------------------------------------------
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_SCRIPT_STYLE_RE = re.compile(r"<(script|style|noscript|iframe)[^>]*>.*?</\1>", re.DOTALL | re.IGNORECASE)
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_COMMENT_RE = re.compile(r"<!--.*?-->", re.DOTALL)
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_TAG_RE = re.compile(r"<[^>]+>")
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_WHITESPACE_RE = re.compile(r"\s+")
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def extract_text_by_container(html: str, container_patterns: list[str]) -> Optional[str]:
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"""Extrahiert Text aus dem ersten gefundenen Container.
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container_patterns: Liste von Regex-Mustern, die den oeffnenden Container-Tag
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matchen (z. B. r'<article[^>]*class="[^"]*article-body[^"]*"[^>]*>').
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Intern wird der zugehoerige schliessende Tag per Tag-Balancing gesucht.
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"""
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html_clean = _COMMENT_RE.sub("", _SCRIPT_STYLE_RE.sub("", html))
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for pattern in container_patterns:
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m = re.search(pattern, html_clean, re.IGNORECASE)
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if not m:
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continue
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start = m.start()
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# Tag-Name aus Pattern-Treffer extrahieren
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tag_match = re.match(r"<(\w+)", m.group(0))
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if not tag_match:
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continue
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tag_name = tag_match.group(1).lower()
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end = _find_matching_close(html_clean, start, tag_name)
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if end < 0:
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continue
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block = html_clean[start:end]
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text = html_to_text(block)
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if len(text) >= MIN_TRANSCRIPT_LEN:
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return text
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return None
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def extract_longest_article_block(html: str) -> Optional[str]:
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"""Fallback: suche den laengsten zusammenhaengenden Block aus <p>-Tags.
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Nuetzlich, wenn spezifische Container-Selektoren fehlschlagen.
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"""
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html_clean = _COMMENT_RE.sub("", _SCRIPT_STYLE_RE.sub("", html))
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# Alle <article>- und <main>-Bloecke finden
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candidates = []
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for tag in ("article", "main"):
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for m in re.finditer(rf"<{tag}\b[^>]*>", html_clean, re.IGNORECASE):
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end = _find_matching_close(html_clean, m.start(), tag)
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if end > m.start():
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candidates.append(html_clean[m.start():end])
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if not candidates:
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# Letzter Ausweg: gesamter Body
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body_m = re.search(r"<body\b[^>]*>", html_clean, re.IGNORECASE)
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if body_m:
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candidates.append(html_clean[body_m.start():])
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best_text = ""
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for block in candidates:
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text = html_to_text(block)
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if len(text) > len(best_text):
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best_text = text
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return best_text if len(best_text) >= MIN_TRANSCRIPT_LEN else None
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def html_to_text(html: str) -> str:
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"""Simple HTML→Plaintext-Konvertierung."""
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no_tags = _COMMENT_RE.sub("", _SCRIPT_STYLE_RE.sub("", html))
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no_tags = _TAG_RE.sub(" ", no_tags)
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no_tags = (no_tags
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.replace(" ", " ")
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.replace("&", "&")
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.replace(""", '"')
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.replace("'", "'")
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.replace("'", "'")
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.replace("<", "<")
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.replace(">", ">")
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.replace("–", "-")
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.replace("—", "-")
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.replace("ä", "ä")
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.replace("ö", "ö")
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.replace("ü", "ü")
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.replace("Ä", "Ä")
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.replace("Ö", "Ö")
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.replace("Ü", "Ü")
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.replace("ß", "ß"))
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return _WHITESPACE_RE.sub(" ", no_tags).strip()
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def _find_matching_close(html: str, start: int, tag_name: str) -> int:
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"""Findet die Position des schliessenden Tags, der zum oeffnenden Tag an `start` gehoert.
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Einfacher Zaehler-Ansatz: jeder weitere <tag> erhoeht, jeder </tag> verringert.
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Rueckgabe: Index NACH dem schliessenden Tag, -1 falls nicht gefunden.
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"""
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open_re = re.compile(rf"<{tag_name}\b[^>]*>", re.IGNORECASE)
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close_re = re.compile(rf"</{tag_name}>", re.IGNORECASE)
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depth = 1
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pos = start + 1 # nach dem initial geoeffneten Tag
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while pos < len(html) and depth > 0:
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next_open = open_re.search(html, pos)
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next_close = close_re.search(html, pos)
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if not next_close:
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return -1
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if next_open and next_open.start() < next_close.start():
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depth += 1
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pos = next_open.end()
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else:
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depth -= 1
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pos = next_close.end()
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return pos if depth == 0 else -1
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