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Sleeping
Sleeping
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c7a9dbd
1
Parent(s):
123a5db
simplest version
Browse files
utils.py
CHANGED
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@@ -24,15 +24,9 @@ def format_sources(nodes):
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doc_id = meta.get('document_id', 'unknown')
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if doc_type == 'table':
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title = meta.get('table_title', '')
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source = f"📊 {doc_id} - {table_id}"
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if title:
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source += f": {title}"
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if section:
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source += f" ({section})"
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sources.append(source)
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elif doc_type == 'image':
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img_num = meta.get('image_number', 'unknown')
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sources.append(f"🖼️ {doc_id} - Рисунок {img_num}")
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@@ -40,7 +34,7 @@ def format_sources(nodes):
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section = meta.get('section_id', '')
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sources.append(f"📄 {doc_id} - Раздел {section}")
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return "\n".join(
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def preprocess_query(question):
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import re
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@@ -79,68 +73,52 @@ def preprocess_query(question):
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def answer_question(question, query_engine, reranker):
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try:
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log_message(f"\n{'='*70}")
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log_message(f"Query: {question}")
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log_message(f"{'='*70}")
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enhanced_query = preprocess_query(question)
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if enhanced_query != question:
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log_message(f"Enhanced query: {enhanced_query}")
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retrieved = query_engine.retriever.retrieve(enhanced_query)
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log_message(f"
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doc_ids[doc_id] = {'tables': [], 'text': 0, 'images': 0}
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if n.metadata.get('type') == 'table':
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table_id = n.metadata.get('table_identifier', n.metadata.get('table_number', ''))
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doc_ids[doc_id]['tables'].append(table_id)
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elif n.metadata.get('type') == 'image':
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doc_ids[doc_id]['images'] += 1
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else:
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doc_ids[doc_id]['text'] += 1
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for doc_id, counts in doc_ids.items():
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log_message(f" 📄 {doc_id}:")
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if counts['tables']:
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log_message(f" Tables: {', '.join(set(counts['tables']))}")
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if counts['text']:
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log_message(f" Text chunks: {counts['text']}")
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if counts['images']:
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log_message(f" Images: {counts['images']}")
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reranked = rerank_nodes(question, retrieved, reranker, top_k=25)
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log_message(f"
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for n in reranked:
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if
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else:
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log_message(f" 📄 {doc_id}:")
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if counts['tables']:
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log_message(f" Tables: {', '.join(set(counts['tables']))}")
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if counts['text']:
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log_message(f" Text chunks: {counts['text']}")
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if counts['images']:
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log_message(f" Images: {counts['images']}")
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context = "\n\n" + ("="*70 + "\n\n").join(doc_ids_reranked)
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prompt = f"""Ты эксперт по технической документации.
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doc_id = meta.get('document_id', 'unknown')
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if doc_type == 'table':
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table_num = meta.get('table_number', 'unknown')
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title = meta.get('table_title', '')
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sources.append(f"📊 {doc_id} - Таблица {table_num}: {title}")
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elif doc_type == 'image':
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img_num = meta.get('image_number', 'unknown')
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sources.append(f"🖼️ {doc_id} - Рисунок {img_num}")
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section = meta.get('section_id', '')
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sources.append(f"📄 {doc_id} - Раздел {section}")
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return "\n".join(set(sources))
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def preprocess_query(question):
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import re
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def answer_question(question, query_engine, reranker):
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try:
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log_message(f"Query: {question}")
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enhanced_query = preprocess_query(question)
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if enhanced_query != question:
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log_message(f"Enhanced query: {enhanced_query}")
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retrieved = query_engine.retriever.retrieve(enhanced_query)
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log_message(f"Retrieved {len(retrieved)} nodes")
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doc_ids = [n.metadata.get('document_id', 'unknown') for n in retrieved]
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table_nums = [n.metadata.get('table_number', '') for n in retrieved if n.metadata.get('type') == 'table']
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log_message(f"Retrieved from documents: {set(doc_ids)}")
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if table_nums:
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log_message(f"Retrieved tables: {set(table_nums)}")
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reranked = rerank_nodes(question, retrieved, reranker, top_k=25)
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log_message(f"Reranked to {len(reranked)} nodes")
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doc_ids_reranked = [n.metadata.get('document_id', 'unknown') for n in reranked]
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table_nums_reranked = [n.metadata.get('table_number', '') for n in reranked if n.metadata.get('type') == 'table']
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log_message(f"After reranking - documents: {set(doc_ids_reranked)}")
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if table_nums_reranked:
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log_message(f"After reranking - tables: {set(table_nums_reranked)}")
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context_parts = []
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for n in reranked:
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meta = n.metadata
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doc_id = meta.get('document_id', 'unknown')
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doc_type = meta.get('type', 'text')
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if doc_type == 'table':
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table_num = meta.get('table_number', 'unknown')
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title = meta.get('table_title', '')
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source_label = f"[ТАБЛИЦА {table_num} - {doc_id}]"
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if title:
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source_label += f" {title}"
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elif doc_type == 'image':
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img_num = meta.get('image_number', 'unknown')
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source_label = f"[РИСУНОК {img_num} - {doc_id}]"
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else:
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section = meta.get('section_id', '')
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source_label = f"[{doc_id} - {section}]"
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context_parts.append(f"{source_label}\n{n.text}")
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context = "\n\n" + ("="*70 + "\n\n").join(context_parts)
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prompt = f"""Ты эксперт по технической документации.
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