Export: PDF/DOCX-Dateimetadaten (Title, Author, Subject, Keywords, Category, Comments)
- Neue Helper-Funktion _build_export_metadata baut einheitliches Metadaten-Dict - PDF via HTML-Meta-Tags (title, author, description, keywords, generator, lang) - DOCX via doc.core_properties (title, author, subject, keywords, comments, category, last_modified_by, language, content_status, created, modified) - Keywords aus OSINT + Typ + Organisation + category_labels + Top-5-Orten - Comments-Feld mit strukturiertem Block (Incident-ID, Typ, Scope, Umfang, Orte) - Router laedt Organisation + Top-Orte aus article_locations und reicht sie durch
Dieser Commit ist enthalten in:
claude-dev
@@ -391,10 +391,132 @@ LAGEBILD:
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return "<ul><li>Zusammenfassung konnte nicht generiert werden.</li></ul>"
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def _parse_db_timestamp(value) -> datetime | None:
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"""SQLite-Timestamp robust als datetime parsen (ISO oder 'YYYY-MM-DD HH:MM:SS')."""
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if not value:
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return None
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if isinstance(value, datetime):
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return value
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try:
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text = str(value).replace("T", " ").replace("Z", "")
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# Sekundenbruchteile und Timezone-Offset abschneiden (python-docx mag nur naive dt)
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text = text.split(".")[0].split("+")[0].strip()
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return datetime.strptime(text, "%Y-%m-%d %H:%M:%S")
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except (ValueError, TypeError):
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try:
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return datetime.strptime(str(value)[:10], "%Y-%m-%d")
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except (ValueError, TypeError):
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return None
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def _slug_scope_label(scope: str, sections: set[str] | None) -> str:
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"""Scope-Label fuer Metadaten und Dateinamen."""
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if sections:
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if sections == {"zusammenfassung"}:
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return "Zusammenfassung"
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if "timeline" in sections:
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return "Vollstaendiger Bericht"
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return "Lagebericht"
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return {"summary": "Zusammenfassung", "report": "Lagebericht", "full": "Vollstaendiger Bericht"}.get(
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scope, "Lagebericht"
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)
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def _build_export_metadata(
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incident: dict,
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articles: list,
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fact_checks: list,
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sources: list,
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creator: str,
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scope: str,
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sections: set[str] | None,
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organization_name: str | None,
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top_locations: list[str] | None,
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) -> dict:
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"""Einheitlicher Metadaten-Dict fuer PDF (HTML-Meta-Tags) und DOCX (core_properties)."""
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is_research = incident.get("type") == "research"
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type_label = "Hintergrundrecherche" if is_research else "Live-Monitoring"
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category = "OSINT-Hintergrundrecherche" if is_research else "OSINT-Lagebericht"
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scope_label = _slug_scope_label(scope, sections)
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title_raw = (incident.get("title") or "Unbenannte Lage").strip()
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title = f"{title_raw} — {type_label}"
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subject = (incident.get("description") or "").strip()
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if not subject:
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subject = f"{type_label} zu: {title_raw}"
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# Keywords sammeln (Reihenfolge relevant für Anzeige, Dedup mit dict.fromkeys)
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keywords: list[str] = ["OSINT", type_label]
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if organization_name:
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keywords.append(organization_name)
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# category_labels ist ein Komma-getrennter String
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cat_labels = incident.get("category_labels") or ""
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for lbl in cat_labels.split(","):
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lbl = lbl.strip()
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if lbl:
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keywords.append(lbl)
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if top_locations:
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keywords.extend([loc for loc in top_locations if loc])
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# Dedup (case-insensitive) mit Reihenfolge erhalten, max 15
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seen = set()
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unique_keywords: list[str] = []
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for kw in keywords:
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key = kw.lower()
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if key not in seen:
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seen.add(key)
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unique_keywords.append(kw)
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if len(unique_keywords) >= 15:
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break
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now = datetime.now(TIMEZONE)
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created = _parse_db_timestamp(incident.get("created_at")) or now.replace(tzinfo=None)
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modified = _parse_db_timestamp(incident.get("updated_at")) or created
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# Strukturierter Comments-Block (wird in DOCX angezeigt, kompakt)
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stand = now.strftime("%d.%m.%Y")
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comments_lines = [
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f"Incident-ID: {incident.get('id', '?')} | Typ: {incident.get('type', 'adhoc')} | Scope: {scope_label}",
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f"Stand: {stand}",
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]
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if organization_name:
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comments_lines.append(f"Organisation: {organization_name}")
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comments_lines.append(
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f"Umfang: {len(articles)} Artikel, {len(fact_checks)} Faktenchecks, {len(sources)} Quellen"
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)
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if top_locations:
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comments_lines.append("Orte: " + ", ".join(top_locations[:5]))
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comments = "\n".join(comments_lines)
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return {
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"title": title,
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"author": creator or "AegisSight Monitor",
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"subject": subject,
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"keywords": unique_keywords,
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"keywords_comma": ", ".join(unique_keywords),
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"keywords_semicolon": "; ".join(unique_keywords),
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"category": category,
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"comments": comments,
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"creator_app": "AegisSight Monitor",
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"language": "de-DE",
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"created": created,
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"modified": modified,
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"created_iso": created.strftime("%Y-%m-%dT%H:%M:%S"),
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"modified_iso": modified.strftime("%Y-%m-%dT%H:%M:%S"),
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"type_label": type_label,
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"scope_label": scope_label,
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}
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async def generate_pdf(
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incident: dict, articles: list, fact_checks: list, snapshots: list,
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scope: str, creator: str, executive_summary_html: str,
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sections: set[str] | None = None,
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organization_name: str | None = None,
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top_locations: list[str] | None = None,
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) -> bytes:
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"""PDF-Report via WeasyPrint generieren."""
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# Sections aus scope ableiten wenn nicht explizit angegeben
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@@ -424,6 +546,11 @@ async def generate_pdf(
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if not is_research and zusammenfassung_html:
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zusammenfassung_html = _linkify_citations_html(zusammenfassung_html, all_sources)
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meta = _build_export_metadata(
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incident, articles, fact_checks, all_sources, creator, scope, sections,
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organization_name, top_locations,
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)
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env = Environment(loader=FileSystemLoader(str(TEMPLATE_DIR)))
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template = env.get_template("report.html")
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@@ -449,6 +576,7 @@ async def generate_pdf(
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source_stats=_prepare_source_stats(articles)[:20] if scope == "report" else _prepare_source_stats(articles),
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timeline=_prepare_timeline(articles) if scope == "full" else [],
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articles=articles if scope == "full" else [],
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meta=meta,
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)
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# Artikel pub_date aufbereiten
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@@ -468,6 +596,8 @@ async def generate_docx(
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incident: dict, articles: list, fact_checks: list, snapshots: list,
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scope: str, creator: str, executive_summary_text: str,
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sections: set[str] | None = None,
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organization_name: str | None = None,
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top_locations: list[str] | None = None,
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) -> bytes:
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"""Word-Report via python-docx generieren."""
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doc = Document()
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@@ -496,6 +626,28 @@ async def generate_docx(
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zusammenfassung_title = "Zusammenfassung"
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bericht_summary = remaining
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meta = _build_export_metadata(
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incident, articles, fact_checks, all_sources, creator, scope, sections,
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organization_name, top_locations,
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)
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# Dateimetadaten setzen (sichtbar in Explorer/Finder, DMS-Systemen)
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cp = doc.core_properties
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cp.title = meta["title"]
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cp.author = meta["author"]
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cp.subject = meta["subject"]
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cp.keywords = meta["keywords_semicolon"]
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cp.comments = meta["comments"]
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cp.category = meta["category"]
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cp.last_modified_by = meta["author"]
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cp.language = meta["language"]
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cp.content_status = "Final"
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try:
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cp.created = meta["created"]
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cp.modified = meta["modified"]
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except (ValueError, TypeError) as e:
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logger.warning(f"DOCX created/modified konnte nicht gesetzt werden: {e}")
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# Styles
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style = doc.styles['Normal']
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style.font.size = Pt(10)
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@@ -1,7 +1,19 @@
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<!DOCTYPE html>
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<html lang="de">
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<html lang="{{ meta.language if meta else 'de-DE' }}">
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<head>
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<meta charset="UTF-8">
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{% if meta %}
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<title>{{ meta.title }}</title>
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<meta name="author" content="{{ meta.author }}">
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<meta name="description" content="{{ meta.subject }}">
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<meta name="keywords" content="{{ meta.keywords_comma }}">
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<meta name="subject" content="{{ meta.subject }}">
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<meta name="generator" content="{{ meta.creator_app }}">
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<meta name="dcterms.created" content="{{ meta.created_iso }}">
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<meta name="dcterms.modified" content="{{ meta.modified_iso }}">
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{% else %}
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<title>{{ incident.title }}</title>
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{% endif %}
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<style>
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@page { margin: 20mm 18mm 20mm 18mm; size: A4; @bottom-center { content: "Seite " counter(page) " von " counter(pages); font-size: 8pt; color: #0a1832; } }
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* { box-sizing: border-box; margin: 0; padding: 0; }
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@@ -988,6 +988,27 @@ async def export_incident(
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user_row = await cursor.fetchone()
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creator = user_row["email"] if user_row else "Unbekannt"
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# Organisation (fuer Dateimetadaten)
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organization_name = None
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if incident.get("tenant_id"):
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cursor = await db.execute(
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"SELECT name FROM organizations WHERE id = ?", (incident["tenant_id"],)
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)
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org_row = await cursor.fetchone()
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organization_name = org_row["name"] if org_row else None
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# Top-Orte (fuer Keyword-Metadaten)
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cursor = await db.execute(
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"""SELECT location_name, COUNT(*) AS cnt
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FROM article_locations
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WHERE incident_id = ?
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GROUP BY COALESCE(location_name_normalized, location_name)
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ORDER BY cnt DESC
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LIMIT 5""",
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(incident_id,),
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)
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top_locations = [r["location_name"] for r in await cursor.fetchall() if r["location_name"]]
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# Artikel
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cursor = await db.execute(
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"SELECT * FROM articles WHERE incident_id = ? ORDER BY collected_at DESC",
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@@ -1037,7 +1058,12 @@ async def export_incident(
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scope_labels_key = scope_labels.get(scope, "lagebericht")
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if format == "pdf":
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pdf_bytes = await generate_pdf(incident, articles, fact_checks, snapshots, scope, creator, exec_summary, sections=sections_set)
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pdf_bytes = await generate_pdf(
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incident, articles, fact_checks, snapshots, scope, creator, exec_summary,
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sections=sections_set,
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organization_name=organization_name,
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top_locations=top_locations,
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)
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filename = f"{slug}_{scope_labels_key}_{date_str}.pdf"
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return StreamingResponse(
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io.BytesIO(pdf_bytes),
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@@ -1045,7 +1071,12 @@ async def export_incident(
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headers={"Content-Disposition": f'attachment; filename="{filename}"'},
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)
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else:
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docx_bytes = await generate_docx(incident, articles, fact_checks, snapshots, scope, creator, exec_summary, sections=sections_set)
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docx_bytes = await generate_docx(
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incident, articles, fact_checks, snapshots, scope, creator, exec_summary,
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sections=sections_set,
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organization_name=organization_name,
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top_locations=top_locations,
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)
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filename = f"{slug}_{scope_labels_key}_{date_str}.docx"
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return StreamingResponse(
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io.BytesIO(docx_bytes),
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