Spaces:
Sleeping
Sleeping
development-v1 (#2)
Browse files- version 1 (359771b91ad419dae380791066baa2d923db81a6)
- app.py +1 -1
- pdf_route.py +64 -122
- requirements.txt +2 -1
app.py
CHANGED
@@ -14,7 +14,7 @@ app = FastAPI(
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# Add CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["https://readmytable.vercel.app"], # Allows all origins
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allow_credentials=True,
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allow_methods=["*"], # Allows all methods
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allow_headers=["*"], # Allows all headers
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# Add CORS middleware
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app.add_middleware(
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CORSMiddleware,
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+
allow_origins=["https://readmytable.vercel.app", "http://localhost:3000"], # Allows all origins
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allow_credentials=True,
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allow_methods=["*"], # Allows all methods
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allow_headers=["*"], # Allows all headers
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pdf_route.py
CHANGED
@@ -34,7 +34,7 @@ async def convert_to_markdown(file: UploadFile = File(...)):
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# Analyze the document
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result = analyze_document(temp_pdf_path)
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-
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# Create markdown file
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temp_md_path = "temp.md"
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create_markdown_file(result, temp_md_path)
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@@ -71,13 +71,25 @@ async def convert_to_excel(file: UploadFile = File(...)):
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try:
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# Read the markdown content
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content = await file.read()
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markdown_text = content.decode('utf-8')
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#
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# Create Excel file
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excel_buffer = create_excel_from_markdown_tables(tables)
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@@ -104,20 +116,27 @@ async def convert_to_word(file: UploadFile = File(...)):
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StreamingResponse: Word document file
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"""
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try:
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# Read the
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content = await file.read()
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markdown_text = content.decode('utf-8')
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#
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# Read the
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with open(
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word_content = f.read()
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# Clean up temporary
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os.remove(
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# Return the Word file as a download
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return StreamingResponse(
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@@ -134,6 +153,7 @@ async def convert_to_word(file: UploadFile = File(...)):
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def analyze_document(file_path):
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"""Analyze document using Azure Form Recognizer"""
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endpoint = "https://aal-ocr-ai-azureapi.cognitiveservices.azure.com/"
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key = os.getenv("AZURE_FORM_RECOGNIZER_KEY")
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document_analysis_client = DocumentAnalysisClient(
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@@ -144,7 +164,7 @@ def analyze_document(file_path):
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poller = document_analysis_client.begin_analyze_document(
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"prebuilt-layout", document=f
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)
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result = poller.result()
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return result
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@@ -185,86 +205,16 @@ def create_excel_from_markdown_tables(tables):
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"""Create Excel file from markdown tables"""
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excel_buffer = BytesIO()
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with pd.ExcelWriter(excel_buffer, engine='
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for i, table in enumerate(tables):
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# Save to Excel sheet
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sheet_name = f"Table_{i+1}"
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df.to_excel(writer, sheet_name=sheet_name, index=False)
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excel_buffer.seek(0)
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return excel_buffer
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def create_word_from_markdown(markdown_text, output_file):
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"""Create Word document from markdown text"""
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doc = Document()
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lines = markdown_text.split('\n')
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current_table = []
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in_table = False
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for line in lines:
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# Handle headers
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if line.startswith('#'):
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level = len(line.split()[0]) # Count the number of '#'
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text = line.lstrip('#').strip()
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doc.add_heading(text, level=min(level, 9))
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# Handle tables
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elif '|' in line:
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# Skip separator lines
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if re.match(r'^[\s|:-]+$', line):
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continue
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# Process table row
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cells = [cell.strip() for cell in line.split('|')[1:-1]]
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if cells:
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if not in_table:
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in_table = True
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current_table = []
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current_table.append(cells)
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# Handle end of table
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elif in_table:
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if current_table:
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table = doc.add_table(rows=len(current_table), cols=len(current_table[0]))
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table.style = 'Table Grid'
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for i, row in enumerate(current_table):
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for j, cell in enumerate(row):
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table.cell(i, j).text = cell
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doc.add_paragraph() # Add space after table
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current_table = []
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in_table = False
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# Handle checkbox lists
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elif line.strip().startswith('- ['):
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p = doc.add_paragraph()
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run = p.add_run()
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if 'x' in line or 'X' in line:
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run.add_text("☑ " + line[5:].strip())
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else:
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run.add_text("☐ " + line[5:].strip())
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# Handle regular paragraphs
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elif line.strip():
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doc.add_paragraph(line.strip())
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# Handle the last table if exists
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if in_table and current_table:
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table = doc.add_table(rows=len(current_table), cols=len(current_table[0]))
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table.style = 'Table Grid'
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for i, row in enumerate(current_table):
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for j, cell in enumerate(row):
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table.cell(i, j).text = cell
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doc.save(output_file)
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def create_markdown_file(result, output_file):
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"""Create markdown file from analysis result"""
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with open(output_file, 'w', encoding='utf-8') as md_file:
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# md_file.write(f"### Page {page.page_number}\n\n")
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elements = []
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elements.extend([(paragraph.bounding_regions[0].polygon[0].y + paragraph.bounding_regions[0].polygon[0].x*0.
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for paragraph in result.paragraphs if paragraph.bounding_regions[0].page_number == page.page_number])
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elements.sort(key=lambda x: x[0])
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@@ -294,9 +244,8 @@ def create_markdown_file(result, output_file):
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elements = [element for element in elements if element[2] != title_paragraph]
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md_file.write(f"# {title_paragraph.content}\n\n")
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elements.extend([(table.bounding_regions[0].polygon[0].y + table.bounding_regions[0].polygon[0].x*0.
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for table in result.tables if table.bounding_regions[0].page_number == page.page_number])
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elements.extend([(mark.polygon[0].y + mark.polygon[0].x*0.05, 'selection_mark', mark) for mark in page.selection_marks])
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elements.sort(key=lambda x: x[0])
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@@ -305,7 +254,8 @@ def create_markdown_file(result, output_file):
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if element_type == 'paragraph':
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if any(is_element_inside_table(element, get_table_max_polygon(table)) for table in result.tables):
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continue
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-
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elif element_type == 'table':
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for row_idx in range(element.row_count):
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cell_content = ""
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for cell in element.cells:
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if cell.row_index == row_idx and cell.column_index == col_idx:
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cell_content = cell.content
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table_cells.add((cell.bounding_regions[0].polygon[0].x, cell.bounding_regions[0].polygon[0].y))
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break
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row_content += f"{cell_content} | "
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md_file.write(row_content + "\n")
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md_file.write("\n")
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elif element_type == 'selection_mark':
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if element.state == "selected":
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md_file.write("- [x] \n\n")
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else:
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md_file.write("- [ ] \n\n")
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def create_word_file(result, output_file):
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"""Create Word document from analysis result"""
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# Analyze pages
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for page in result.pages:
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# Combine paragraphs, tables, and selection marks in the order they appear on the page
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elements = []
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elements.extend([(paragraph.bounding_regions[0].polygon[0].y + paragraph.bounding_regions[0].polygon[0].x*0.01, 'paragraph', paragraph)
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if title_paragraph:
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elements = [element for element in elements if element[2] != title_paragraph]
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-
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# Continuous combine paragraphs, tables, and selection marks in the order they appear on the page
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elements.extend([(table.bounding_regions[0].polygon[0].y + table.bounding_regions[0].polygon[0].x*0.01, 'table', table)
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for table in result.tables if table.bounding_regions[0].page_number == page.page_number])
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elements.extend([(mark.polygon[0].y + mark.polygon[0].x*0.01, 'selection_mark', mark)
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for mark in page.selection_marks])
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# Sort elements by the sum of their horizontal and vertical positions on the page
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elements.sort(key=lambda x: x[0])
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# Skip lines that are part of a table
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if any(is_element_inside_table(element, get_table_max_polygon(table)) for table in result.tables):
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continue
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-
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elif element_type == 'table':
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table = doc.add_table(rows=element.row_count, cols=element.column_count)
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table.style = 'Table Grid'
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cell_content = ""
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for cell in element.cells:
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if cell.row_index == row_idx and cell.column_index == col_idx:
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cell_content = cell.content
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table_cells.add((cell.bounding_regions[0].polygon[0].x, cell.bounding_regions[0].polygon[0].y))
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break
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row_cells[col_idx].text = cell_content
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elif element_type == 'selection_mark':
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p = doc.add_paragraph()
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run = p.add_run()
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if element.state == "selected":
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run.add_text("☑ ")
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else:
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run.add_text("☐ ")
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# Save Word document
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doc.save(output_file)
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return ", ".join([f"[{p.x}, {p.y}]" for p in polygon])
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def get_table_max_polygon(table):
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-
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first_cell = table.cells[0]
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first_coordinate = first_cell.bounding_regions[0].polygon[0]
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last_cell = table.cells[-1]
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last_coordinate = last_cell.bounding_regions[0].polygon[
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return [first_coordinate, last_coordinate]
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def is_element_inside_table(element, table_max_polygon):
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element_x = element.bounding_regions[0].polygon[0].x
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element_y = element.bounding_regions[0].polygon[0].y
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first_coordinate = table_max_polygon[0]
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last_coordinate = table_max_polygon[1]
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return (first_coordinate.x <= element_x <= last_coordinate.x and
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first_coordinate.y <= element_y <= last_coordinate.y)
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# Analyze the document
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result = analyze_document(temp_pdf_path)
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# Create markdown file
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temp_md_path = "temp.md"
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create_markdown_file(result, temp_md_path)
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try:
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# Read the markdown content
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content = await file.read()
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# Save the content to a temporary file
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temp_pdf_path = "temp.pdf"
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with open(temp_pdf_path, "wb") as f:
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f.write(content)
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# Analyze the document
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result = analyze_document(temp_pdf_path)
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tables = []
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for table in result.tables:
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table_data = []
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for cell in table.cells:
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table_data.append({
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"row_index": cell.row_index,
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"column_index": cell.column_index,
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"text": cell.content
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})
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tables.append(table_data)
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# Create Excel file
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excel_buffer = create_excel_from_markdown_tables(tables)
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StreamingResponse: Word document file
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"""
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try:
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# Read the uploaded file content
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content = await file.read()
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# Save the content to a temporary file
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temp_pdf_path = "temp.pdf"
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with open(temp_pdf_path, "wb") as f:
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f.write(content)
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# Analyze the document
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result = analyze_document(temp_pdf_path)
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# Create word file
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temp_word_path = "temp.docx"
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create_word_file(result, temp_word_path)
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# Read the word file
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with open(temp_word_path, "rb") as f:
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word_content = f.read()
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# Clean up temporary files
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os.remove(temp_pdf_path)
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os.remove(temp_word_path)
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# Return the Word file as a download
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return StreamingResponse(
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def analyze_document(file_path):
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"""Analyze document using Azure Form Recognizer"""
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endpoint = "https://aal-ocr-ai-azureapi.cognitiveservices.azure.com/"
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# endpoint = "https://zzaocrtool.cognitiveservices.azure.com/"
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key = os.getenv("AZURE_FORM_RECOGNIZER_KEY")
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document_analysis_client = DocumentAnalysisClient(
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poller = document_analysis_client.begin_analyze_document(
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"prebuilt-layout", document=f
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)
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result = poller.result()
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return result
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"""Create Excel file from markdown tables"""
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excel_buffer = BytesIO()
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with pd.ExcelWriter(excel_buffer, engine='xlsxwriter') as writer:
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for i, table in enumerate(tables):
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df = pd.DataFrame(table)
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df_pivot = df.pivot(index='row_index', columns='column_index', values='text')
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sheet_name = f'Sheet{i+1}'
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df_pivot.to_excel(writer, sheet_name=sheet_name, index=False)
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excel_buffer.seek(0)
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return excel_buffer
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def create_markdown_file(result, output_file):
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"""Create markdown file from analysis result"""
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220 |
with open(output_file, 'w', encoding='utf-8') as md_file:
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# md_file.write(f"### Page {page.page_number}\n\n")
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elements = []
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+
elements.extend([(paragraph.bounding_regions[0].polygon[0].y + paragraph.bounding_regions[0].polygon[0].x*0.01, 'paragraph', paragraph)
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for paragraph in result.paragraphs if paragraph.bounding_regions[0].page_number == page.page_number])
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elements.sort(key=lambda x: x[0])
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elements = [element for element in elements if element[2] != title_paragraph]
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md_file.write(f"# {title_paragraph.content}\n\n")
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+
elements.extend([(table.bounding_regions[0].polygon[0].y + table.bounding_regions[0].polygon[0].x*0.01, 'table', table)
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for table in result.tables if table.bounding_regions[0].page_number == page.page_number])
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elements.sort(key=lambda x: x[0])
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if element_type == 'paragraph':
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if any(is_element_inside_table(element, get_table_max_polygon(table)) for table in result.tables):
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continue
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content = element.content.replace(":selected:", "").replace(":unselected:", "")
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258 |
+
md_file.write(f"{content}\n\n")
|
259 |
|
260 |
elif element_type == 'table':
|
261 |
for row_idx in range(element.row_count):
|
|
|
264 |
cell_content = ""
|
265 |
for cell in element.cells:
|
266 |
if cell.row_index == row_idx and cell.column_index == col_idx:
|
267 |
+
cell_content = cell.content.replace(":selected:", "").replace(":unselected:", "")
|
268 |
table_cells.add((cell.bounding_regions[0].polygon[0].x, cell.bounding_regions[0].polygon[0].y))
|
269 |
break
|
270 |
row_content += f"{cell_content} | "
|
271 |
md_file.write(row_content + "\n")
|
272 |
md_file.write("\n")
|
|
|
|
|
|
|
|
|
|
|
|
|
273 |
|
274 |
def create_word_file(result, output_file):
|
275 |
"""Create Word document from analysis result"""
|
|
|
278 |
|
279 |
# Analyze pages
|
280 |
for page in result.pages:
|
281 |
+
doc.add_heading(f"File Page {page.page_number}", level=2)
|
282 |
# Combine paragraphs, tables, and selection marks in the order they appear on the page
|
283 |
elements = []
|
284 |
elements.extend([(paragraph.bounding_regions[0].polygon[0].y + paragraph.bounding_regions[0].polygon[0].x*0.01, 'paragraph', paragraph)
|
|
|
302 |
|
303 |
if title_paragraph:
|
304 |
elements = [element for element in elements if element[2] != title_paragraph]
|
305 |
+
|
306 |
+
title = title_paragraph
|
307 |
+
doc.add_heading(title.content, level=1)
|
308 |
|
309 |
# Continuous combine paragraphs, tables, and selection marks in the order they appear on the page
|
310 |
elements.extend([(table.bounding_regions[0].polygon[0].y + table.bounding_regions[0].polygon[0].x*0.01, 'table', table)
|
311 |
for table in result.tables if table.bounding_regions[0].page_number == page.page_number])
|
|
|
|
|
312 |
|
313 |
# Sort elements by the sum of their horizontal and vertical positions on the page
|
314 |
elements.sort(key=lambda x: x[0])
|
|
|
320 |
# Skip lines that are part of a table
|
321 |
if any(is_element_inside_table(element, get_table_max_polygon(table)) for table in result.tables):
|
322 |
continue
|
323 |
+
content = element.content.replace(":selected:", "").replace(":unselected:", "")
|
324 |
+
doc.add_paragraph(content)
|
325 |
elif element_type == 'table':
|
326 |
table = doc.add_table(rows=element.row_count, cols=element.column_count)
|
327 |
table.style = 'Table Grid'
|
|
|
331 |
cell_content = ""
|
332 |
for cell in element.cells:
|
333 |
if cell.row_index == row_idx and cell.column_index == col_idx:
|
334 |
+
cell_content = cell.content.replace(":selected:", "").replace(":unselected:", "")
|
335 |
table_cells.add((cell.bounding_regions[0].polygon[0].x, cell.bounding_regions[0].polygon[0].y))
|
336 |
break
|
337 |
row_cells[col_idx].text = cell_content
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
338 |
# Save Word document
|
339 |
doc.save(output_file)
|
340 |
|
|
|
345 |
return ", ".join([f"[{p.x}, {p.y}]" for p in polygon])
|
346 |
|
347 |
def get_table_max_polygon(table):
|
348 |
+
# first coordination
|
349 |
first_cell = table.cells[0]
|
350 |
first_coordinate = first_cell.bounding_regions[0].polygon[0]
|
351 |
+
|
352 |
+
# last coordination
|
353 |
last_cell = table.cells[-1]
|
354 |
+
last_coordinate = last_cell.bounding_regions[0].polygon[2]
|
355 |
+
|
356 |
+
# return max polygon
|
357 |
return [first_coordinate, last_coordinate]
|
358 |
|
359 |
def is_element_inside_table(element, table_max_polygon):
|
360 |
+
# midpoint of the cell is inside table
|
361 |
+
element_x = (element.bounding_regions[0].polygon[0].x + element.bounding_regions[0].polygon[2].x)/2
|
362 |
+
element_y = (element.bounding_regions[0].polygon[0].y + element.bounding_regions[0].polygon[2].y)/2
|
363 |
first_coordinate = table_max_polygon[0]
|
364 |
+
last_coordinate = table_max_polygon[1] # no.3 and no.4 coordination!!!! need help here correct error
|
365 |
|
366 |
return (first_coordinate.x <= element_x <= last_coordinate.x and
|
367 |
+
first_coordinate.y <= element_y <= last_coordinate.y)
|
requirements.txt
CHANGED
@@ -10,4 +10,5 @@ azure-ai-formrecognizer==3.3.0
|
|
10 |
python-dotenv==1.0.0
|
11 |
python-docx==1.1.0
|
12 |
pandas==2.1.4
|
13 |
-
openpyxl==3.1.5
|
|
|
|
10 |
python-dotenv==1.0.0
|
11 |
python-docx==1.1.0
|
12 |
pandas==2.1.4
|
13 |
+
openpyxl==3.1.5
|
14 |
+
xlsxwriter=3.2.2
|