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0067c9d
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Parent(s):
7dcc6c5
Removed all custom table configurations (CUSTOM_TABLE_CONFIGS)
Browse files- documents_prep.py +18 -38
- table_prep.py +81 -179
documents_prep.py
CHANGED
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@@ -44,7 +44,6 @@ def process_documents_with_chunking(documents):
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all_chunked_docs = []
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chunk_info = []
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table_count = 0
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-
table_added_count = 0
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image_count = 0
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text_chunks_count = 0
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@@ -52,44 +51,19 @@ def process_documents_with_chunking(documents):
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doc_type = doc.metadata.get('type', 'text')
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if doc_type == 'table':
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table_count += 1
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-
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# Log table size
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table_num = doc.metadata.get('table_number', 'unknown')
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doc_id = doc.metadata.get('document_id', 'unknown')
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log_message(f"Таблица {table_num} в документе {doc_id}: размер {doc_size} символов")
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'section_id': chunk_doc.metadata.get('section_id', 'unknown'),
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'chunk_id': i,
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'chunk_size': len(chunk_doc.text),
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'chunk_preview': chunk_doc.text[:200] + "..." if len(chunk_doc.text) > 200 else chunk_doc.text,
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'type': 'table',
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'table_number': chunk_doc.metadata.get('table_number', 'unknown'),
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'processing_method': 'chunked'
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})
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else:
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all_chunked_docs.append(doc)
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table_added_count += 1
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chunk_info.append({
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'document_id': doc.metadata.get('document_id', 'unknown'),
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'section_id': doc.metadata.get('section_id', 'unknown'),
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'chunk_id': 0,
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'chunk_size': doc_size,
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'chunk_preview': doc.text[:200] + "..." if len(doc.text) > 200 else doc.text,
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'type': 'table',
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'table_number': doc.metadata.get('table_number', 'unknown'),
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'processing_method': 'standard'
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})
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elif doc_type == 'image':
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image_count += 1
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@@ -147,7 +121,13 @@ def process_documents_with_chunking(documents):
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'type': 'text'
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})
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log_message(f"
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return all_chunked_docs, chunk_info
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all_chunked_docs = []
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chunk_info = []
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table_count = 0
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image_count = 0
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text_chunks_count = 0
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doc_type = doc.metadata.get('type', 'text')
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if doc_type == 'table':
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# Add tables as-is, no chunking
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table_count += 1
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all_chunked_docs.append(doc)
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chunk_info.append({
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'document_id': doc.metadata.get('document_id', 'unknown'),
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'section_id': doc.metadata.get('section_id', 'unknown'),
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'chunk_id': 0,
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'chunk_size': len(doc.text),
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'chunk_preview': doc.text[:200] + "..." if len(doc.text) > 200 else doc.text,
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'type': 'table',
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'table_number': doc.metadata.get('table_number', 'unknown')
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})
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elif doc_type == 'image':
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image_count += 1
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'type': 'text'
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})
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log_message(f"\n{'='*60}")
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log_message(f"ИТОГО ОБРАБОТАНО ДОКУМЕНТОВ:")
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log_message(f" • Таблицы: {table_count} (добавлены целиком)")
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log_message(f" • Изображения: {image_count}")
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log_message(f" • Текстовые чанки: {text_chunks_count}")
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log_message(f" • Всего документов: {len(all_chunked_docs)}")
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log_message(f"{'='*60}\n")
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return all_chunked_docs, chunk_info
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table_prep.py
CHANGED
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@@ -4,156 +4,33 @@ from huggingface_hub import hf_hub_download, list_repo_files
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from llama_index.core import Document
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from my_logging import log_message
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"
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"НП-104-18": {"*": {"method": "group_entire_table"}},
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"НП-068-05": {
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"Таблица 1": {"method": "group_by_column", "group_column": "Рабочее давление среды, МПа"},
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"Таблица 2": {"method": "group_by_column", "group_column": "Рабочее давление среды, МПа"},
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"Таблица Приложения 1": {"method": "group_by_column", "group_column": "Тип"}
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},
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"ГОСТ Р 59023.1-2020": {
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"№ 1": {"method": "split_by_rows"},
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"№ 2": {"method": "split_by_rows"},
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"№ 3": {"method": "split_by_rows"}
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},
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"НП-089-15": {"-": {"method": "split_by_rows"}},
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"НП-105-18": {"№ 4.8": {"method": "group_entire_table"}},
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"ГОСТ Р 50.05.23-2020": {"№8": {"method": "group_entire_table"}},
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"ГОСТ Р 50.03.01-2017": {"А.8": {"method": "group_entire_table"}}
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}
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def create_meta_info(document_name, section, table_number, table_title, extra_info=""):
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base_info = f'Документ "{document_name}", Раздел: {section}, Таблица: {table_number}'
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if table_title and table_title.strip():
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base_info += f', Название: {table_title}'
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if extra_info:
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base_info += f', {extra_info}'
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return base_info
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def create_chunk_text(meta_info, headers, rows, add_row_numbers=False):
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chunk_lines = [meta_info.rstrip()]
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chunk_lines.append("Заголовки: " + " | ".join(headers))
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for i, row in enumerate(rows, start=1):
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row_parts = [f"{h}: {row.get(h, '')}" for h in headers if row.get(h, '')]
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if add_row_numbers:
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chunk_lines.append(f"Строка {i}: {' | '.join(row_parts)}")
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else:
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chunk_lines.append(' | '.join(row_parts))
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return "\n".join(chunk_lines)
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def get_custom_config(document_id, table_number):
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for doc_pattern, tables_config in CUSTOM_TABLE_CONFIGS.items():
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if document_id.startswith(doc_pattern):
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return tables_config.get(table_number, tables_config.get("*"))
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return None
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def group_by_column_method(table_data, document_name, group_column):
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documents = []
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headers = table_data.get("headers", [])
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rows = table_data.get("data", [])
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section = table_data.get("section", "")
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table_number = table_data.get("table_number", "")
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table_title = table_data.get("table_title", "")
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grouped = defaultdict(list)
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for row in rows:
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grouped[row.get(group_column, "UNKNOWN")].append(row)
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for group_value, group_rows in grouped.items():
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meta_info = create_meta_info(document_name, section, table_number, table_title,
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f'Группа по "{group_column}": {group_value}')
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chunk_text = create_chunk_text(meta_info, headers, group_rows, add_row_numbers=True)
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documents.append(Document(
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text=chunk_text,
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metadata={
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"type": "table",
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"table_number": table_number,
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"table_title": table_title,
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"document_id": document_name,
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"section": section,
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"section_id": section,
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"group_column": group_column,
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"group_value": group_value,
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"total_rows": len(group_rows),
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"processing_method": "group_by_column"
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}
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))
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return documents
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def split_by_rows_method(table_data, document_name):
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documents = []
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headers = table_data.get("headers", [])
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rows = table_data.get("data", [])
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section = table_data.get("section", "")
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table_number = table_data.get("table_number", "")
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table_title = table_data.get("table_title", "")
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for i, row in enumerate(rows, start=1):
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meta_info = create_meta_info(document_name, section, table_number, table_title, f'Строка: {i}')
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chunk_text = create_chunk_text(meta_info, headers, [row])
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documents.append(Document(
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text=chunk_text,
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metadata={
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"type": "table",
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"table_number": table_number,
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"table_title": table_title,
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"document_id": document_name,
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"section": section,
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"section_id": section,
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"row_number": i,
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"total_rows": len(rows),
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"processing_method": "split_by_rows"
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}
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))
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rows = table_data.get("data", [])
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section = table_data.get("section", "")
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table_number = table_data.get("table_number", "")
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table_title = table_data.get("table_title", "")
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"document_id": document_name,
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"section": section,
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"section_id": section,
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"total_rows": len(rows),
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"processing_method": "group_entire_table"
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}
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)]
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def process_table(table_data, document_name, method_config):
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method = method_config.get("method")
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return group_by_column_method(table_data, document_name, method_config.get("group_column"))
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elif method == "split_by_rows":
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return split_by_rows_method(table_data, document_name)
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elif method == "group_entire_table":
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return group_entire_table_method(table_data, document_name)
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return None
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def table_to_document(table_data, document_id=None):
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if not isinstance(table_data, dict):
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return []
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@@ -162,39 +39,16 @@ def table_to_document(table_data, document_id=None):
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table_title = table_data.get('table_title', 'Неизвестно')
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section = table_data.get('section', 'Неизвестно')
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return custom_docs
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header_content = f"Таблица: {table_num}\nНазвание: {table_title}\nДокумент: {doc_id}\nРаздел: {section}\n"
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if 'data' in table_data and isinstance(table_data['data'], list):
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table_content = header_content + "\nДанные таблицы:\n"
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for row_idx, row in enumerate(table_data['data']):
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if isinstance(row, dict):
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row_text = " | ".join([f"{k}: {v}" for k, v in row.items()])
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table_content += f"Строка {row_idx + 1}: {row_text}\n"
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return [Document(
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text=table_content,
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metadata={
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"type": "table",
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"table_number": table_num,
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"table_title": table_title,
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"document_id": doc_id,
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"section": section,
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"section_id": section,
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"total_rows": len(table_data['data']),
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"processing_method": "default"
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}
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)]
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return [Document(
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text=
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metadata={
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"type": "table",
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"table_number": table_num,
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"document_id": doc_id,
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"section": section,
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"section_id": section,
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"
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}
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)]
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def load_table_data(repo_id, hf_token, table_data_dir):
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log_message("
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try:
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files = list_repo_files(repo_id=repo_id, repo_type="dataset", token=hf_token)
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log_message(f"Найдено {len(table_files)} JSON файлов с таблицами")
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table_documents = []
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for file_path in table_files:
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try:
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local_path = hf_hub_download(
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@@ -226,6 +89,8 @@ def load_table_data(repo_id, hf_token, table_data_dir):
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token=hf_token
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)
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with open(local_path, 'r', encoding='utf-8') as f:
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table_data = json.load(f)
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sheet['document'] = document_id
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docs_list = table_to_document(sheet, document_id)
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table_documents.extend(docs_list)
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else:
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docs_list = table_to_document(table_data, document_id)
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table_documents.extend(docs_list)
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elif isinstance(table_data, list):
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for table_json in table_data:
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docs_list = table_to_document(table_json)
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table_documents.extend(docs_list)
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except Exception as e:
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log_message(f"
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continue
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return table_documents
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except Exception as e:
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log_message(f"
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return []
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from llama_index.core import Document
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from my_logging import log_message
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def create_table_content(table_data):
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"""Create formatted content from table data"""
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+
doc_id = table_data.get('document_id', table_data.get('document', 'Неизвестно'))
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| 10 |
+
table_num = table_data.get('table_number', 'Неизвестно')
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| 11 |
+
table_title = table_data.get('table_title', 'Неизвестно')
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| 12 |
+
section = table_data.get('section', 'Неизвестно')
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| 13 |
|
| 14 |
+
content = f"Таблица: {table_num}\n"
|
| 15 |
+
content += f"Название: {table_title}\n"
|
| 16 |
+
content += f"Документ: {doc_id}\n"
|
| 17 |
+
content += f"Раздел: {section}\n"
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|
| 18 |
|
| 19 |
+
headers = table_data.get('headers', [])
|
| 20 |
+
if headers:
|
| 21 |
+
content += f"\nЗаголовки: {' | '.join(headers)}\n"
|
| 22 |
|
| 23 |
+
if 'data' in table_data and isinstance(table_data['data'], list):
|
| 24 |
+
content += "\nДанные таблицы:\n"
|
| 25 |
+
for row_idx, row in enumerate(table_data['data'], start=1):
|
| 26 |
+
if isinstance(row, dict):
|
| 27 |
+
row_text = " | ".join([f"{k}: {v}" for k, v in row.items() if v])
|
| 28 |
+
content += f"Строка {row_idx}: {row_text}\n"
|
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|
| 29 |
|
| 30 |
+
return content
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|
| 31 |
|
| 32 |
def table_to_document(table_data, document_id=None):
|
| 33 |
+
"""Convert table data to a single Document"""
|
| 34 |
if not isinstance(table_data, dict):
|
| 35 |
return []
|
| 36 |
|
|
|
|
| 39 |
table_title = table_data.get('table_title', 'Неизвестно')
|
| 40 |
section = table_data.get('section', 'Неизвестно')
|
| 41 |
|
| 42 |
+
content = create_table_content(table_data)
|
| 43 |
+
content_size = len(content)
|
| 44 |
|
| 45 |
+
# Log table addition
|
| 46 |
+
row_count = len(table_data.get('data', [])) if 'data' in table_data else 0
|
| 47 |
+
log_message(f"✓ ДОБАВЛЕНА: Таблица {table_num} из документа '{doc_id}' | "
|
| 48 |
+
f"Размер: {content_size} символов | Строк: {row_count}")
|
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|
| 49 |
|
| 50 |
return [Document(
|
| 51 |
+
text=content,
|
| 52 |
metadata={
|
| 53 |
"type": "table",
|
| 54 |
"table_number": table_num,
|
|
|
|
| 56 |
"document_id": doc_id,
|
| 57 |
"section": section,
|
| 58 |
"section_id": section,
|
| 59 |
+
"total_rows": row_count,
|
| 60 |
+
"content_size": content_size
|
| 61 |
}
|
| 62 |
)]
|
| 63 |
|
| 64 |
def load_table_data(repo_id, hf_token, table_data_dir):
|
| 65 |
+
log_message("=" * 60)
|
| 66 |
+
log_message("НАЧАЛО ЗАГРУЗКИ ТАБЛИЧНЫХ ДАННЫХ")
|
| 67 |
+
log_message("=" * 60)
|
| 68 |
|
| 69 |
try:
|
| 70 |
files = list_repo_files(repo_id=repo_id, repo_type="dataset", token=hf_token)
|
|
|
|
| 73 |
log_message(f"Найдено {len(table_files)} JSON файлов с таблицами")
|
| 74 |
|
| 75 |
table_documents = []
|
| 76 |
+
stats = {
|
| 77 |
+
'total_tables': 0,
|
| 78 |
+
'total_size': 0,
|
| 79 |
+
'by_document': defaultdict(lambda: {'count': 0, 'size': 0})
|
| 80 |
+
}
|
| 81 |
+
|
| 82 |
for file_path in table_files:
|
| 83 |
try:
|
| 84 |
local_path = hf_hub_download(
|
|
|
|
| 89 |
token=hf_token
|
| 90 |
)
|
| 91 |
|
| 92 |
+
log_message(f"\nОбработка файла: {file_path}")
|
| 93 |
+
|
| 94 |
with open(local_path, 'r', encoding='utf-8') as f:
|
| 95 |
table_data = json.load(f)
|
| 96 |
|
|
|
|
| 102 |
sheet['document'] = document_id
|
| 103 |
docs_list = table_to_document(sheet, document_id)
|
| 104 |
table_documents.extend(docs_list)
|
| 105 |
+
|
| 106 |
+
for doc in docs_list:
|
| 107 |
+
stats['total_tables'] += 1
|
| 108 |
+
size = doc.metadata.get('content_size', 0)
|
| 109 |
+
stats['total_size'] += size
|
| 110 |
+
stats['by_document'][document_id]['count'] += 1
|
| 111 |
+
stats['by_document'][document_id]['size'] += size
|
| 112 |
else:
|
| 113 |
docs_list = table_to_document(table_data, document_id)
|
| 114 |
table_documents.extend(docs_list)
|
| 115 |
+
|
| 116 |
+
for doc in docs_list:
|
| 117 |
+
stats['total_tables'] += 1
|
| 118 |
+
size = doc.metadata.get('content_size', 0)
|
| 119 |
+
stats['total_size'] += size
|
| 120 |
+
stats['by_document'][document_id]['count'] += 1
|
| 121 |
+
stats['by_document'][document_id]['size'] += size
|
| 122 |
+
|
| 123 |
elif isinstance(table_data, list):
|
| 124 |
for table_json in table_data:
|
| 125 |
docs_list = table_to_document(table_json)
|
| 126 |
table_documents.extend(docs_list)
|
| 127 |
+
|
| 128 |
+
for doc in docs_list:
|
| 129 |
+
doc_id = doc.metadata.get('document_id', 'unknown')
|
| 130 |
+
stats['total_tables'] += 1
|
| 131 |
+
size = doc.metadata.get('content_size', 0)
|
| 132 |
+
stats['total_size'] += size
|
| 133 |
+
stats['by_document'][doc_id]['count'] += 1
|
| 134 |
+
stats['by_document'][doc_id]['size'] += size
|
| 135 |
|
| 136 |
except Exception as e:
|
| 137 |
+
log_message(f"❌ ОШИБКА файла {file_path}: {str(e)}")
|
| 138 |
continue
|
| 139 |
|
| 140 |
+
# Log summary statistics
|
| 141 |
+
log_message("\n" + "=" * 60)
|
| 142 |
+
log_message("СТАТИСТИКА ПО ТАБЛИЦАМ")
|
| 143 |
+
log_message("=" * 60)
|
| 144 |
+
log_message(f"Всего таблиц добавлено: {stats['total_tables']}")
|
| 145 |
+
log_message(f"Общий размер: {stats['total_size']:,} символов")
|
| 146 |
+
log_message(f"Средний размер таблицы: {stats['total_size'] // stats['total_tables'] if stats['total_tables'] > 0 else 0:,} символов")
|
| 147 |
+
|
| 148 |
+
log_message("\nПо документам:")
|
| 149 |
+
for doc_id, doc_stats in sorted(stats['by_document'].items()):
|
| 150 |
+
log_message(f" • {doc_id}: {doc_stats['count']} таблиц, "
|
| 151 |
+
f"{doc_stats['size']:,} символов")
|
| 152 |
+
|
| 153 |
+
log_message("=" * 60)
|
| 154 |
+
|
| 155 |
return table_documents
|
| 156 |
|
| 157 |
except Exception as e:
|
| 158 |
+
log_message(f"❌ КРИТИЧЕСКАЯ ОШИБКА загрузки табличных данных: {str(e)}")
|
| 159 |
return []
|