388 lines
13 KiB
Python
388 lines
13 KiB
Python
import logging
|
|
import os
|
|
import xml.etree.ElementTree as ET
|
|
from typing import List, Dict, Any
|
|
|
|
from docx import Document
|
|
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
|
|
from docx.shared import RGBColor
|
|
|
|
logger = logging.getLogger("desktopenv.metric.docs")
|
|
|
|
|
|
def find_default_font(config_file_path, rules):
|
|
"""Find the default font in LibreOffice Writer."""
|
|
default_font = None
|
|
expected_font = rules["font_name"]
|
|
|
|
try:
|
|
tree = ET.parse(config_file_path)
|
|
root = tree.getroot()
|
|
|
|
# Define the XML namespace used in the file
|
|
namespace = {'oor': 'http://openoffice.org/2001/registry'}
|
|
|
|
# Search for the node containing the default font setting for LibreOffice Writer
|
|
for elem in root.findall('.//item[@oor:path="/org.openoffice.Office.Writer/DefaultFont"]', namespace):
|
|
for prop in elem.findall('.//prop[@oor:name="Standard"]', namespace):
|
|
for value in prop.findall('value', namespace):
|
|
default_font = value.text
|
|
except Exception as e:
|
|
logger.error(f"Error: {e}")
|
|
|
|
return 1 if default_font == expected_font else 0
|
|
|
|
|
|
def contains_page_break(docx_file):
|
|
doc = Document(docx_file)
|
|
|
|
namespaces = {'w': 'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
|
|
|
|
for paragraph in doc.paragraphs:
|
|
for run in paragraph.runs:
|
|
br_elems = run.element.findall('.//w:br', namespaces)
|
|
for br in br_elems:
|
|
if br is not None and '{http://schemas.openxmlformats.org/wordprocessingml/2006/main}type' in br.attrib and \
|
|
br.attrib['{http://schemas.openxmlformats.org/wordprocessingml/2006/main}type'] == 'page':
|
|
return 1
|
|
return 0
|
|
|
|
|
|
def compare_docx_files(file1, file2):
|
|
doc1 = Document(file1)
|
|
doc2 = Document(file2)
|
|
|
|
doc1_paragraphs = [p.text for p in doc1.paragraphs]
|
|
doc2_paragraphs = [p.text for p in doc2.paragraphs]
|
|
|
|
if len(doc1_paragraphs) != len(doc2_paragraphs):
|
|
return 0
|
|
|
|
# Compare each paragraph
|
|
for p1, p2 in zip(doc1_paragraphs, doc2_paragraphs):
|
|
if p1 != p2:
|
|
return 0
|
|
|
|
return 1
|
|
|
|
|
|
def compare_docx_tables(docx_file1, docx_file2):
|
|
doc1 = Document(docx_file1)
|
|
doc2 = Document(docx_file2)
|
|
|
|
# get list of tables in docx
|
|
tables1 = doc1.tables
|
|
tables2 = doc2.tables
|
|
|
|
if len(tables1) != len(tables2):
|
|
return 0
|
|
|
|
# Compare each table content
|
|
for table1, table2 in zip(tables1, tables2):
|
|
|
|
if len(table1.rows) != len(table2.rows) or len(table1.columns) != len(table2.columns):
|
|
return 0
|
|
|
|
# Compare each cell
|
|
for i in range(len(table1.rows)):
|
|
for j in range(len(table1.columns)):
|
|
if table1.cell(i, j).text != table2.cell(i, j).text:
|
|
return 0
|
|
|
|
return 1
|
|
|
|
|
|
def compare_line_spacing(docx_file1, docx_file2):
|
|
doc1 = Document(docx_file1)
|
|
doc2 = Document(docx_file2)
|
|
|
|
if len(doc1.paragraphs) != len(doc2.paragraphs):
|
|
return 0
|
|
|
|
# Compare each paragraph line spacing
|
|
for para1, para2 in zip(doc1.paragraphs, doc2.paragraphs):
|
|
|
|
spacing1 = para1.paragraph_format.line_spacing
|
|
spacing2 = para2.paragraph_format.line_spacing
|
|
|
|
if spacing1 != spacing2:
|
|
return 0
|
|
|
|
return 1
|
|
|
|
|
|
def compare_insert_equation(docx_file1, docx_file2):
|
|
if not compare_docx_files(docx_file1, docx_file2):
|
|
return 0
|
|
|
|
doc1 = Document(docx_file1)
|
|
doc2 = Document(docx_file2)
|
|
|
|
# Compare each paragraph if it contains equation
|
|
for para1, para2 in zip(doc1.paragraphs, doc2.paragraphs):
|
|
for run1, run2 in zip(para1.runs, para2.runs):
|
|
if run1.element.xpath('.//w:object') and run2.element.xpath('.//w:object'):
|
|
return 1
|
|
return 0
|
|
|
|
|
|
def compare_font_names(docx_file, rules: List[Dict[str, Any]]):
|
|
doc = Document(docx_file)
|
|
expected_font = rules["font_name"]
|
|
|
|
for paragraph in doc.paragraphs:
|
|
for run in paragraph.runs:
|
|
font_name = run.font.name
|
|
if font_name != expected_font:
|
|
return 0
|
|
return 1
|
|
|
|
|
|
def compare_subscript_contains(docx_file1, docx_file2):
|
|
doc1 = Document(docx_file1)
|
|
doc2 = Document(docx_file2)
|
|
|
|
for para1, para2 in zip(doc1.paragraphs, doc2.paragraphs):
|
|
for run1, run2 in zip(para1.runs, para2.runs):
|
|
# check if two paras both contain subscript
|
|
if run1.font.subscript and run2.font.subscript:
|
|
return 1
|
|
return 0
|
|
|
|
|
|
def has_page_numbers_in_footers(docx_file):
|
|
doc = Document(docx_file)
|
|
|
|
for section in doc.sections:
|
|
footer = section.footer
|
|
if footer is None:
|
|
return 0
|
|
footer_text = footer.paragraphs[0].text if footer.paragraphs else ''
|
|
if not any(char.isdigit() for char in footer_text):
|
|
# if no digit in footer, then no page number
|
|
return 0
|
|
return 1
|
|
|
|
|
|
def is_first_line_centered(docx_file):
|
|
doc = Document(docx_file)
|
|
first_paragraph = doc.paragraphs[0]
|
|
|
|
# check if the first line is center justified
|
|
return 1 if first_paragraph.paragraph_format.alignment == WD_PARAGRAPH_ALIGNMENT.CENTER else 0
|
|
|
|
|
|
def check_file_exists(directory, filename):
|
|
file_path = os.path.join(directory, filename)
|
|
return 1 if os.path.isfile(file_path) else 0
|
|
|
|
|
|
def compare_contains_image(docx_file1, docx_file2):
|
|
doc1 = Document(docx_file1)
|
|
doc2 = Document(docx_file2)
|
|
|
|
for para1, para2 in zip(doc1.paragraphs, doc2.paragraphs):
|
|
for run1, run2 in zip(para1.runs, para2.runs):
|
|
if ('graphicData' in run1._element.xml and 'graphicData' not in run2._element.xml) or (
|
|
'graphicData' not in run1._element.xml and 'graphicData' in run2._element.xml):
|
|
return 0
|
|
return 1
|
|
|
|
# file1 = 'path/to/file1.docx'
|
|
# file2 = 'path/to/file2.docx'
|
|
|
|
# print(are_docx_files_same(file1, file2))
|
|
# Replace 'your_document.docx' with the path to your document
|
|
# result = contains_page_break('your_document.docx')
|
|
# print(result)
|
|
|
|
# config_path = "/home/[username]/.config/libreoffice/4/user/registrymodifications.xcu"
|
|
# print(find_default_font("Ani", config_path))
|
|
|
|
|
|
def evaluate_colored_words_in_tables(file_path):
|
|
document = Document(file_path)
|
|
|
|
for table in document.tables:
|
|
# Iterate through rows and cells in the table
|
|
for row in table.rows:
|
|
for cell in row.cells:
|
|
for paragraph in cell.paragraphs:
|
|
for run in paragraph.runs:
|
|
word = run.text
|
|
if word:
|
|
first_letter = word[0].lower()
|
|
|
|
if first_letter in 'aeiou' and run.font.color.rgb != RGBColor(255, 0, 0):
|
|
return 0 # Vowel-colored words should be red
|
|
elif first_letter not in 'aeiou' and run.font.color.rgb != RGBColor(0, 0, 255):
|
|
return 0 # Non-vowel-colored words should be blue
|
|
|
|
return 1 # All words in tables are correctly colored
|
|
|
|
|
|
def check_highlighted_words(file_path):
|
|
document = Document(file_path)
|
|
|
|
for paragraph in document.paragraphs:
|
|
for run in paragraph.runs:
|
|
if run.font.highlight_color is not None:
|
|
return 0 # Highlighted words found
|
|
|
|
return 1 # No highlighted words found
|
|
|
|
|
|
def evaluate_strike_through_last_paragraph(file_path):
|
|
document = Document(file_path)
|
|
|
|
# Get the last paragraph
|
|
last_paragraph = document.paragraphs[-1]
|
|
|
|
# Check if any run in the last paragraph has strike-through formatting
|
|
for run in last_paragraph.runs:
|
|
if not run.font.strike:
|
|
return 0 # At least one word does not have strike-through formatting
|
|
|
|
return 1 # All words in the last paragraph have strike-through formatting
|
|
|
|
|
|
def evaluate_conversion(file_path):
|
|
document = Document(file_path)
|
|
|
|
for table in document.tables:
|
|
for row in table.rows:
|
|
for cell in row.cells:
|
|
for paragraph in cell.paragraphs:
|
|
for run in paragraph.runs:
|
|
if run.text.isupper():
|
|
return 0 # Uppercase text should be converted to lowercase
|
|
|
|
for paragraph in document.paragraphs:
|
|
for run in paragraph.runs:
|
|
if run.text.isupper():
|
|
return 0 # Uppercase text should be converted to lowercase
|
|
|
|
return 1 # All uppercase text has been successfully converted
|
|
|
|
|
|
def evaluate_spacing(file_path):
|
|
document = Document(file_path)
|
|
|
|
# Check line spacing for introduction, body, and conclusion
|
|
introduction_spacing = document.paragraphs[0].paragraph_format.line_spacing
|
|
body_spacing = document.paragraphs[1].paragraph_format.line_spacing
|
|
conclusion_spacing = document.paragraphs[2].paragraph_format.line_spacing
|
|
if (introduction_spacing == 1.0 and body_spacing == 2.0 and conclusion_spacing == 1.5):
|
|
return 1
|
|
else:
|
|
return 0
|
|
|
|
|
|
def check_italic_font_size_14(path):
|
|
document = Document(path)
|
|
for paragraph in document.paragraphs:
|
|
for run in paragraph.runs:
|
|
if run.italic:
|
|
# Check if font size is 14
|
|
if run.font.size is None or run.font.size.pt != 14:
|
|
return 0
|
|
return 1
|
|
|
|
|
|
def evaluate_alignment(docx_path):
|
|
# Load the document
|
|
doc = Document(docx_path)
|
|
|
|
# Iterate through each paragraph in the document
|
|
for para in doc.paragraphs:
|
|
# Split the paragraph into individual sentences
|
|
sentences = para.text.split('.')
|
|
|
|
for sentence in sentences:
|
|
# Split the sentence into words
|
|
words = sentence.strip().split()
|
|
|
|
# Check if the sentence has at least three words
|
|
if len(words) < 3:
|
|
continue # Skip sentences with less than three words
|
|
|
|
# The first three words should be separated from the rest
|
|
first_part = ' '.join(words[:3])
|
|
second_part = ' '.join(words[3:])
|
|
|
|
# Check if the sentence structure matches the pattern: first part + large space/tab + second part
|
|
if not (first_part in sentence and second_part in sentence and sentence.find(first_part) < sentence.find(second_part)):
|
|
return 0 # The sentence does not meet the alignment criteria
|
|
|
|
return 1 # All sentences meet the alignment criteria
|
|
|
|
|
|
def get_unique_train_ids(initial_file): #fixed standard
|
|
doc = Document(initial_file)
|
|
train_ids = set()
|
|
processed_lines = 0
|
|
|
|
for para in doc.paragraphs:
|
|
line_parts = para.text.split(',')
|
|
if len(line_parts) == 4:
|
|
train_id = line_parts[1].strip()
|
|
if train_id not in train_ids:
|
|
train_ids.add(train_id)
|
|
processed_lines += 1
|
|
|
|
return train_ids, processed_lines
|
|
|
|
def check_no_duplicates(initial_file, processed_file):
|
|
# Open the document
|
|
train_ids_ini, ini_lines = get_unique_train_ids(initial_file)
|
|
doc_processed = Document(processed_file)
|
|
train_ids_pro = set()
|
|
processed_lines = 0 # Counter for valid lines processed
|
|
|
|
# processed
|
|
for para in doc_processed.paragraphs:
|
|
# Each line has the format: time_HH:MM:SS, train_id, station_id, platform_no
|
|
line_parts = para.text.split(',')
|
|
# Ensure the line has the correct format
|
|
if len(line_parts) == 4:
|
|
train_id = line_parts[1].strip()
|
|
# If train_id is already in the set, it's a duplicate
|
|
if train_id in train_ids_pro:
|
|
return 0 # Duplicate found
|
|
train_ids_pro.add(train_id)
|
|
processed_lines += 1 # Increment valid lines counter
|
|
|
|
if train_ids_pro != train_ids_ini or processed_lines != ini_lines:
|
|
return 0
|
|
|
|
# No duplicates found and at least one valid line was processed
|
|
return 1
|
|
|
|
def compare_docx_lines(file1, file2):
|
|
# Read the text of the document, line by line
|
|
doc1 = Document(file1)
|
|
doc1_lines = [p.text.strip() for p in doc1.paragraphs if p.text.strip()]
|
|
|
|
doc2 = Document(file2)
|
|
doc2_lines = [p.text.strip() for p in doc2.paragraphs if p.text.strip()]
|
|
|
|
# Convert the list of lines to sets and compare
|
|
return set(doc1_lines) == set(doc2_lines)
|
|
|
|
def compare_highlighted_text(file1, file2):
|
|
def extract_highlighted_text(doc):
|
|
highlighted_text = []
|
|
# Iterate through each run in each paragraph to check for highlight
|
|
for paragraph in doc.paragraphs:
|
|
for run in paragraph.runs:
|
|
if run.font.highlight_color: # Checks if the run is highlighted
|
|
highlighted_text.append(run.text.strip())
|
|
return highlighted_text
|
|
|
|
# Read the highlighted text from both documents
|
|
doc1_highlighted = extract_highlighted_text(Document(file1))
|
|
doc2_highlighted = extract_highlighted_text(Document(file2))
|
|
|
|
# Compare the sets of highlighted text to check if they are the same
|
|
return set(doc1_highlighted) == set(doc2_highlighted)
|