7a34807fa0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
"""
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Classification orchestrator.
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Loads settings, selects AI provider, classifies document, auto-creates suggested topics.
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"""
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from services import storage
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from ai import get_provider
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MAX_AI_CHARS = 8_000
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async def classify_document(doc_id: str, topic_names: list[str] | None = None) -> list[str]:
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"""
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Classify a document by its ID. Returns the list of assigned topic names.
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If topic_names is provided, restrict classification to those topics.
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Auto-creates any newly suggested topics.
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"""
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meta = storage.get_metadata(doc_id)
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if meta is None:
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raise ValueError(f"Document {doc_id} not found")
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settings = storage.load_settings()
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system_prompt = settings.get("system_prompt", "")
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provider = get_provider(settings)
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# Use all known topics if not specified
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if topic_names is None:
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all_topics = storage.load_topics()
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topic_names = [t["name"] for t in all_topics]
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text = meta.get("extracted_text", "")
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result = await provider.classify(text[:MAX_AI_CHARS], topic_names, system_prompt)
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# Collect all topic names to persist (assigned + suggested)
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all_new_names = set(result.suggested_new_topics) | set(result.topics)
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# Auto-create any topic not already in the registry
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existing_names = {t.lower() for t in topic_names}
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for name in all_new_names:
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if name.strip() and name.lower() not in existing_names:
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storage.create_topic(name.strip())
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# Final list: everything the AI assigned or suggested
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final_topics = [t for t in list(set(result.topics + result.suggested_new_topics)) if t.strip()]
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storage.update_document_topics(doc_id, final_topics)
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return final_topics
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async def suggest_topics_for_document(doc_id: str) -> list[str]:
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"""Return AI-suggested topic names without modifying the document."""
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meta = storage.get_metadata(doc_id)
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if meta is None:
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raise ValueError(f"Document {doc_id} not found")
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settings = storage.load_settings()
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system_prompt = settings.get("system_prompt", "")
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provider = get_provider(settings)
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text = meta.get("extracted_text", "")
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return await provider.suggest_topics(text[:MAX_AI_CHARS], system_prompt)
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