feat(pipeline): output_language pro Org durch die Pipeline reichen
- OUTPUT_LANGUAGE Konstante aus config.py entfernt (jetzt pro Org in organization_settings). - Orchestrator laedt output_language einmal pro Refresh aus der Org-Sprache. - researcher.search(), analyzer.analyze/.analyze_incremental/.generate_latest_developments, factchecker.check/.check_incremental/.check_incremental_twophase bekommen output_language als Parameter (Default Deutsch). - LANG_INTERNATIONAL / LANG_GERMAN_ONLY (+ Deep-Varianten) sind Funktionen, die je nach output_language die Sprachanweisung erzeugen (Deutsch | English | Fallback). - Sprachfilter in researcher.search ist org-relativ: bei nicht-international werden Artikel mit Sprache != output_language_iso gefiltert. Phase 2 von 8 (eng_demo / Org-Sprache). Bestandsorgs unveraendert, weil Default-Setting weiterhin de (siehe Phase-1-Migration).
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@@ -462,19 +462,18 @@ class FactCheckerAgent:
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lines.append(line)
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return "\n".join(lines)
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async def check(self, title: str, articles: list[dict], incident_type: str = "adhoc") -> tuple[list[dict], ClaudeUsage | None]:
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async def check(self, title: str, articles: list[dict], incident_type: str = "adhoc", output_language: str = "Deutsch") -> tuple[list[dict], ClaudeUsage | None]:
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"""Führt vollständigen Faktencheck durch (erster Refresh)."""
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if not articles:
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return [], None
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articles_text = self._format_articles_text(articles)
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from config import OUTPUT_LANGUAGE
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template = RESEARCH_FACTCHECK_PROMPT_TEMPLATE if incident_type == "research" else FACTCHECK_PROMPT_TEMPLATE
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prompt = template.format(
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title=title,
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articles_text=articles_text,
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output_language=OUTPUT_LANGUAGE,
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output_language=output_language,
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)
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try:
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@@ -494,6 +493,7 @@ class FactCheckerAgent:
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new_articles: list[dict],
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existing_facts: list[dict],
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incident_type: str = "adhoc",
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output_language: str = "Deutsch",
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) -> tuple[list[dict], ClaudeUsage | None]:
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"""Inkrementeller Faktencheck: Prüft nur neue Artikel gegen bestehende Fakten.
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@@ -506,7 +506,6 @@ class FactCheckerAgent:
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articles_text = self._format_articles_text(new_articles, max_articles=15)
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existing_facts_text = self._format_existing_facts(existing_facts)
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from config import OUTPUT_LANGUAGE
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if incident_type == "research":
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template = INCREMENTAL_RESEARCH_FACTCHECK_PROMPT_TEMPLATE
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else:
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@@ -516,7 +515,7 @@ class FactCheckerAgent:
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title=title,
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articles_text=articles_text,
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existing_facts_text=existing_facts_text,
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output_language=OUTPUT_LANGUAGE,
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output_language=output_language,
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)
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try:
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@@ -536,6 +535,7 @@ class FactCheckerAgent:
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new_articles: list[dict],
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existing_facts: list[dict],
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incident_type: str = "adhoc",
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output_language: str = "Deutsch",
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) -> tuple[list[dict], ClaudeUsage | None]:
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"""Zwei-Phasen inkrementeller Faktencheck: Haiku-Triage + parallele Opus-Verifikation.
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@@ -556,9 +556,9 @@ class FactCheckerAgent:
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triage_facts_text = self._format_facts_for_triage(existing_facts)
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articles_text = self._format_articles_text(new_articles, max_articles=15)
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from config import OUTPUT_LANGUAGE, CLAUDE_MODEL_FAST
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from config import CLAUDE_MODEL_FAST
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triage_prompt = TRIAGE_PROMPT_TEMPLATE.format(
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output_language=OUTPUT_LANGUAGE,
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output_language=output_language,
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fact_count=len(existing_facts),
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existing_facts_text=triage_facts_text,
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article_count=len(new_articles),
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@@ -619,7 +619,7 @@ class FactCheckerAgent:
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template = VERIFY_GROUP_PROMPT_TEMPLATE
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prompt = template.format(
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output_language=OUTPUT_LANGUAGE,
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output_language=output_language,
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theme=theme,
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facts_text=facts_text,
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new_claims_text=new_claims_text,
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