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123a5db
1
Parent(s):
83b921a
simplest version
Browse files- documents_prep.py +80 -54
- utils.py +75 -38
documents_prep.py
CHANGED
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@@ -38,42 +38,60 @@ def chunk_text_documents(documents):
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return chunked
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def chunk_table_by_rows(table_data, doc_id, max_rows=
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headers = table_data.get('headers', [])
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rows = table_data.get('data', [])
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table_num = table_data.get('table_number', 'unknown')
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table_title = table_data.get('table_title', '')
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section = table_data.get('section', '')
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#
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table_num_clean = str(table_num).strip()
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if not rows:
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return []
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-
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if len(rows) <= max_rows:
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content = format_table_content(table_data, headers, rows)
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chunk_size = len(content)
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log_message(f" 📊 Table {table_num_clean} ({doc_id}): {len(rows)} rows → 1 chunk ({chunk_size} chars)")
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)
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chunks = []
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overlap = 3
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chunk_num = 0
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for i in range(0, len(rows), max_rows - overlap):
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@@ -85,71 +103,79 @@ def chunk_table_by_rows(table_data, doc_id, max_rows=10): # Reduced from 30
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table_data,
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headers,
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chunk_rows,
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chunk_info=chunk_info
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)
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chunk_size = len(content)
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))
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chunk_num += 1
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log_message(f"
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for idx, chunk in enumerate(chunks):
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log_message(f" Chunk {idx+1}: rows {chunk.metadata['row_start']}-{chunk.metadata['row_end']} ({chunk.metadata['chunk_size']} chars)")
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return chunks
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def format_table_content(table_data, headers, rows, chunk_info=""):
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doc_id = table_data.get('document_id', table_data.get('document', 'unknown'))
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table_num = table_data.get('table_number', 'unknown')
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table_title = table_data.get('table_title', '')
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section = table_data.get('section', '')
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-
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content = f"ДОКУМЕНТ: {doc_id}\n"
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content += f"ТАБЛИЦА: {
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content += f"
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if table_title:
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content += f"НАЗВАНИЕ: {table_title}\n"
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if section:
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content += f"РАЗДЕЛ: {section}\n"
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content += f"{'='*70}\n\n"
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content += f"
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content += f"Документ: {doc_id}. "
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if table_title:
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content += f"Название таблицы: {table_title}. "
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content += f"Таблица о: {table_title}. "
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content += f"Раздел: {section}. "
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content += f"Поиск: таблица {table_num_clean} {doc_id}. "
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if chunk_info:
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content += f"\n{chunk_info}\n"
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content += f"\n\nСОДЕРЖИМОЕ ТАБЛИЦЫ {
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content += f"="*70 + "\n\n"
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if headers:
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@@ -169,7 +195,7 @@ def format_table_content(table_data, headers, rows, chunk_info=""):
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content += f"{idx}. {' | '.join(parts)}\n"
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content += f"\n{'='*70}\n"
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content += f"КОНЕЦ ТАБЛИЦЫ {
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return content
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return chunked
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+
def chunk_table_by_rows(table_data, doc_id, max_rows=30):
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headers = table_data.get('headers', [])
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rows = table_data.get('data', [])
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table_num = table_data.get('table_number', 'unknown')
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table_title = table_data.get('table_title', '')
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section = table_data.get('section', '')
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# Enhanced table identification
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table_num_clean = str(table_num).strip()
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# Create unique table identifier with section context
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if 'приложени' in section.lower():
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# Extract appendix number
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import re
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appendix_match = re.search(r'приложени[еия]\s*(\d+|[а-яА-Я])', section.lower())
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if appendix_match:
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appendix_num = appendix_match.group(1).upper()
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table_identifier = f"{table_num_clean} (Приложение {appendix_num})"
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else:
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table_identifier = f"{table_num_clean} ({section[:30]})"
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else:
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table_identifier = table_num_clean
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if not rows:
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log_message(f" ⚠️ Table {table_identifier} ({doc_id}): Empty table, skipping")
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return []
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log_message(f" 📊 Processing Table {table_identifier} ({doc_id}): {len(rows)} rows, {len(headers)} columns")
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# For small tables
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if len(rows) <= max_rows:
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content = format_table_content(table_data, headers, rows, table_identifier)
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chunk_size = len(content)
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metadata = {
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'type': 'table',
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'document_id': doc_id,
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'table_number': table_num_clean,
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'table_identifier': table_identifier, # NEW: unique identifier
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'table_title': table_title,
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'section': section,
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'total_rows': len(rows),
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'chunk_size': chunk_size,
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'is_complete_table': True
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}
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log_message(f" ✓ Single chunk created:")
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log_message(f" Metadata: {metadata}")
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return [Document(text=content, metadata=metadata)]
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# For large tables with chunking
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chunks = []
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overlap = 3
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chunk_num = 0
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for i in range(0, len(rows), max_rows - overlap):
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table_data,
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headers,
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chunk_rows,
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table_identifier,
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chunk_info=chunk_info
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)
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chunk_size = len(content)
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metadata = {
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'type': 'table',
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'document_id': doc_id,
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'table_number': table_num_clean,
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'table_identifier': table_identifier, # NEW
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'table_title': table_title,
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'section': section,
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'chunk_id': chunk_num,
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'row_start': i,
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'row_end': i + len(chunk_rows),
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'total_rows': len(rows),
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'chunk_size': chunk_size,
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'total_chunks': ((len(rows) - overlap) // (max_rows - overlap)) + 1,
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'is_complete_table': False
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}
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chunks.append(Document(text=content, metadata=metadata))
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log_message(f" Chunk {chunk_num+1} created:")
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log_message(f" Rows: {i}-{i+len(chunk_rows)}, Size: {chunk_size} chars")
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log_message(f" Metadata: {metadata}")
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chunk_num += 1
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log_message(f" ✓ Table {table_identifier} ({doc_id}): {len(rows)} rows → {len(chunks)} chunks")
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return chunks
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def format_table_content(table_data, headers, rows, table_identifier, chunk_info=""):
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doc_id = table_data.get('document_id', table_data.get('document', 'unknown'))
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table_num = table_data.get('table_number', 'unknown')
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table_title = table_data.get('table_title', '')
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section = table_data.get('section', '')
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# Use enhanced identifier
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content = f"ДОКУМЕНТ: {doc_id}\n"
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content += f"ТАБЛИЦА: {table_identifier}\n"
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content += f"ПОЛНОЕ НАЗВАНИЕ: {table_identifier}\n"
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content += f"НОМЕР ТАБЛИЦЫ: {table_num}\n"
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if table_title:
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content += f"НАЗВАНИЕ: {table_title}\n"
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if section:
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content += f"РАЗДЕЛ: {section}\n"
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content += f"{'='*70}\n\n"
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# Enhanced search keywords
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content += f"Это таблица {table_identifier} из документа {doc_id}. "
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content += f"Идентификатор таблицы: {table_identifier}. "
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content += f"Номер: {table_num}. "
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content += f"Документ: {doc_id}. "
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if section:
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content += f"Находится в разделе: {section}. "
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if 'приложени' in section.lower():
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content += f"Таблица из приложения. "
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if table_title:
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content += f"Название таблицы: {table_title}. "
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content += f"Таблица о: {table_title}. "
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content += f"Поиск: таблица {table_identifier} {doc_id}. "
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if chunk_info:
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content += f"\n{chunk_info}\n"
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content += f"\n\nСОДЕРЖИМОЕ ТАБЛИЦЫ {table_identifier}:\n"
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content += f"="*70 + "\n\n"
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if headers:
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content += f"{idx}. {' | '.join(parts)}\n"
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content += f"\n{'='*70}\n"
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content += f"КОНЕЦ ТАБЛИЦЫ {table_identifier} ИЗ {doc_id}\n"
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return content
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utils.py
CHANGED
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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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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(
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def preprocess_query(question):
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import re
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question_lower = question.lower()
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doc_match = re.search(r'(гост|нп|му)[^\s]*\s*[рp№-]*\s*([0-9\.-]+)', question_lower)
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enhanced_query = question
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if doc_match:
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doc_id = f"{doc_match.group(1).upper()} {doc_match.group(2)}"
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enhanced_query += f" документ {doc_id}"
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return enhanced_query
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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"
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reranked = rerank_nodes(question, retrieved, reranker, top_k=25)
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log_message(f"
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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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doc_id
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if
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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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source_label = f"[{doc_id} - {section}]"
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context_parts.append(f"{source_label}\n{n.text}")
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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_id = meta.get('table_identifier', meta.get('table_number', 'unknown'))
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title = meta.get('table_title', '')
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section = meta.get('section', '')
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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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section = meta.get('section_id', '')
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sources.append(f"📄 {doc_id} - Раздел {section}")
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return "\n".join(sources) # Don't use set() to preserve order
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def preprocess_query(question):
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import re
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question_lower = question.lower()
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# Enhanced table detection with appendix
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table_patterns = [
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r'табли[цу]\w*\s+([а-яa-z0-9\.]+)(?:\s+(?:из\s+)?приложени[яеий]\s+(\d+|[а-я]))?',
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| 53 |
+
r'табли[цу]\w*\s+(?:№|номер)?\s*([а-яa-z0-9\.]+)',
|
| 54 |
+
]
|
| 55 |
+
|
| 56 |
doc_match = re.search(r'(гост|нп|му)[^\s]*\s*[рp№-]*\s*([0-9\.-]+)', question_lower)
|
| 57 |
|
| 58 |
enhanced_query = question
|
| 59 |
|
| 60 |
+
for pattern in table_patterns:
|
| 61 |
+
table_match = re.search(pattern, question_lower)
|
| 62 |
+
if table_match:
|
| 63 |
+
table_num = table_match.group(1).upper()
|
| 64 |
+
enhanced_query += f" таблица номер {table_num}"
|
| 65 |
+
|
| 66 |
+
# Add appendix context if mentioned
|
| 67 |
+
if len(table_match.groups()) > 1 and table_match.group(2):
|
| 68 |
+
appendix_num = table_match.group(2).upper()
|
| 69 |
+
enhanced_query += f" приложение {appendix_num}"
|
| 70 |
+
break
|
| 71 |
|
| 72 |
if doc_match:
|
| 73 |
doc_id = f"{doc_match.group(1).upper()} {doc_match.group(2)}"
|
| 74 |
enhanced_query += f" документ {doc_id}"
|
| 75 |
+
# Add variations for better matching
|
| 76 |
+
enhanced_query += f" {doc_match.group(1).upper()}Р {doc_match.group(2)}"
|
| 77 |
|
| 78 |
return enhanced_query
|
| 79 |
|
| 80 |
def answer_question(question, query_engine, reranker):
|
| 81 |
try:
|
| 82 |
+
log_message(f"\n{'='*70}")
|
| 83 |
log_message(f"Query: {question}")
|
| 84 |
+
log_message(f"{'='*70}")
|
| 85 |
|
| 86 |
enhanced_query = preprocess_query(question)
|
| 87 |
if enhanced_query != question:
|
| 88 |
log_message(f"Enhanced query: {enhanced_query}")
|
| 89 |
|
| 90 |
retrieved = query_engine.retriever.retrieve(enhanced_query)
|
| 91 |
+
log_message(f"\n📥 INITIAL RETRIEVAL: {len(retrieved)} nodes")
|
| 92 |
+
|
| 93 |
+
# Detailed logging
|
| 94 |
+
doc_ids = {}
|
| 95 |
+
for n in retrieved:
|
| 96 |
+
doc_id = n.metadata.get('document_id', 'unknown')
|
| 97 |
+
if doc_id not in doc_ids:
|
| 98 |
+
doc_ids[doc_id] = {'tables': [], 'text': 0, 'images': 0}
|
| 99 |
+
|
| 100 |
+
if n.metadata.get('type') == 'table':
|
| 101 |
+
table_id = n.metadata.get('table_identifier', n.metadata.get('table_number', ''))
|
| 102 |
+
doc_ids[doc_id]['tables'].append(table_id)
|
| 103 |
+
elif n.metadata.get('type') == 'image':
|
| 104 |
+
doc_ids[doc_id]['images'] += 1
|
| 105 |
+
else:
|
| 106 |
+
doc_ids[doc_id]['text'] += 1
|
| 107 |
|
| 108 |
+
for doc_id, counts in doc_ids.items():
|
| 109 |
+
log_message(f" 📄 {doc_id}:")
|
| 110 |
+
if counts['tables']:
|
| 111 |
+
log_message(f" Tables: {', '.join(set(counts['tables']))}")
|
| 112 |
+
if counts['text']:
|
| 113 |
+
log_message(f" Text chunks: {counts['text']}")
|
| 114 |
+
if counts['images']:
|
| 115 |
+
log_message(f" Images: {counts['images']}")
|
| 116 |
|
| 117 |
reranked = rerank_nodes(question, retrieved, reranker, top_k=25)
|
| 118 |
+
log_message(f"\n🔄 AFTER RERANKING: {len(reranked)} nodes")
|
| 119 |
|
| 120 |
+
# Detailed reranking results
|
| 121 |
+
doc_ids_reranked = {}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 122 |
for n in reranked:
|
| 123 |
+
doc_id = n.metadata.get('document_id', 'unknown')
|
| 124 |
+
if doc_id not in doc_ids_reranked:
|
| 125 |
+
doc_ids_reranked[doc_id] = {'tables': [], 'text': 0, 'images': 0}
|
| 126 |
|
| 127 |
+
if n.metadata.get('type') == 'table':
|
| 128 |
+
table_id = n.metadata.get('table_identifier', n.metadata.get('table_number', ''))
|
| 129 |
+
doc_ids_reranked[doc_id]['tables'].append(table_id)
|
| 130 |
+
elif n.metadata.get('type') == 'image':
|
| 131 |
+
doc_ids_reranked[doc_id]['images'] += 1
|
|
|
|
|
|
|
|
|
|
|
|
|
| 132 |
else:
|
| 133 |
+
doc_ids_reranked[doc_id]['text'] += 1
|
|
|
|
|
|
|
|
|
|
| 134 |
|
| 135 |
+
for doc_id, counts in doc_ids_reranked.items():
|
| 136 |
+
log_message(f" 📄 {doc_id}:")
|
| 137 |
+
if counts['tables']:
|
| 138 |
+
log_message(f" Tables: {', '.join(set(counts['tables']))}")
|
| 139 |
+
if counts['text']:
|
| 140 |
+
log_message(f" Text chunks: {counts['text']}")
|
| 141 |
+
if counts['images']:
|
| 142 |
+
log_message(f" Images: {counts['images']}")
|
| 143 |
+
context = "\n\n" + ("="*70 + "\n\n").join(doc_ids_reranked)
|
| 144 |
|
| 145 |
prompt = f"""Ты эксперт по технической документации.
|
| 146 |
|