88 lines
4.3 KiB
Python
88 lines
4.3 KiB
Python
import logging
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from docx import Document
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from datetime import datetime
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from logline_leviathan.file_processor.parser_thread import parse_content
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from logline_leviathan.file_processor.file_database_ops import handle_file_metadata, handle_individual_entity, handle_distinct_entity, handle_context_snippet
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import re
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def read_docx_content(file_path):
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try:
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doc = Document(file_path)
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full_content = '\n'.join([paragraph.text for paragraph in doc.paragraphs])
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return full_content.splitlines(True) # Keep end-of-line characters
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except Exception as e:
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logging.error(f"Error reading DOCX file {file_path}: {e}")
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return None
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def get_line_numbers_from_pos(content, start_pos, end_pos):
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# This function is similar to the one for text and xlsx files
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# Adjustments might be needed for the nuances of docx content structure
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start_line = end_line = 0
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current_pos = 0
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for i, line in enumerate(content):
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current_pos += len(line)
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if start_pos < current_pos:
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start_line = i
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break
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for i, line in enumerate(content[start_line:], start=start_line):
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current_pos += len(line)
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if end_pos <= current_pos:
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end_line = i
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break
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return start_line, end_line
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def process_docx_file(file_path, file_mimetype, thread_instance, db_session, abort_flag):
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try:
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file_metadata = handle_file_metadata(db_session, file_path, file_mimetype)
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content = read_docx_content(file_path)
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full_content = ''.join(content) # Join all lines into a single string
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thread_instance.update_status.emit(f" Verarbeite DOCX-Datei: {file_path}")
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# Call the parser and get matches along with entity types
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parsed_entities = parse_content(full_content, abort_flag, db_session)
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entity_count = 0
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for entity_type_id, match_text, start_pos, end_pos in parsed_entities:
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if not match_text.strip():
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continue
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timestamp = find_timestamp_before_match(full_content, start_pos)
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match_start_line, match_end_line = get_line_numbers_from_pos(content, start_pos, end_pos)
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entity = handle_distinct_entity(db_session, match_text, entity_type_id)
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individual_entity = handle_individual_entity(db_session, entity, file_metadata, match_start_line, timestamp, entity_type_id, abort_flag, thread_instance)
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if individual_entity:
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entity_count += 1
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handle_context_snippet(db_session, individual_entity, content, match_start_line, match_end_line)
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return entity_count
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except Exception as e:
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db_session.rollback()
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logging.error(f"Error processing DOCX file {file_path}: {e}")
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return 0
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def find_timestamp_before_match(content, match_start_pos):
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search_content = content[:match_start_pos]
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timestamp_patterns = [
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(r'\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}', '%Y-%m-%d %H:%M:%S'), # ISO 8601 Extended
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(r'\d{4}/\d{2}/\d{2} \d{2}:\d{2}:\d{2}', '%Y/%m/%d %H:%M:%S'), # ISO 8601 with slashes
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(r'\d{2}/\d{2}/\d{4} \d{2}:\d{2}:\d{2}', '%d/%m/%Y %H:%M:%S'), # European Date Format
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(r'\d{2}-\d{2}-\d{4} \d{2}:\d{2}:\d{2}', '%m-%d-%Y %H:%M:%S'), # US Date Format
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(r'\d{8}_\d{6}', '%Y%m%d_%H%M%S'), # Compact Format
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(r'\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}', '%Y-%m-%dT%H:%M:%S'), # ISO 8601 Basic
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(r'\d{2}\.\d{2}\.\d{4} \d{2}:\d{2}:\d{2}', '%d.%m.%Y %H:%M:%S'),# German Date Format
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(r'\d{4}\d{2}\d{2} \d{2}:\d{2}:\d{2}', '%Y%m%d %H:%M:%S'), # Basic Format without Separators
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(r'\d{1,2}-[A-Za-z]{3}-\d{4} \d{2}:\d{2}:\d{2}', '%d-%b-%Y %H:%M:%S'), # English Date Format with Month Name
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(r'(?:19|20)\d{10}', '%Y%m%d%H%M'), # Compact Numeric Format
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# Add more patterns as needed
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]
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for pattern, date_format in timestamp_patterns:
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for timestamp_match in reversed(list(re.finditer(pattern, search_content))):
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try:
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# Convert the matched timestamp to the standardized format
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matched_timestamp = datetime.strptime(timestamp_match.group(), date_format)
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return matched_timestamp.strftime('%Y-%m-%d %H:%M:%S')
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except ValueError:
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continue # If conversion fails, continue to the next pattern
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return None |