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import fitz # PyMuPDF | |
from concurrent.futures import ThreadPoolExecutor | |
def _extract_text(page): | |
text = page.get_text() | |
return text.strip() if text and text.strip() else None | |
def parse_pdf_from_url_multithreaded(content, max_workers=2, chunk_size=1): | |
try: | |
with fitz.open(stream=content, filetype="pdf") as doc: | |
pages = list(doc) | |
with ThreadPoolExecutor(max_workers=max_workers) as executor: | |
texts = list(executor.map(_extract_text, pages)) | |
if chunk_size > 1: | |
chunks = [] | |
for i in range(0, len(texts), chunk_size): | |
chunk = ' '.join([t for t in texts[i:i+chunk_size] if t]) | |
if chunk: | |
chunks.append(chunk) | |
return chunks if chunks else ["No data found in this document (empty PDF)"] | |
return [t for t in texts if t] or ["No data found in this document (empty PDF)"] | |
except Exception as e: | |
print(f"β Failed to parse as PDF: {str(e)}") | |
return [f"No data found in this document (not PDF or corrupted)"] | |
def parse_pdf_from_file_multithreaded(file_path, max_workers=2, chunk_size=1): | |
try: | |
with fitz.open(file_path) as doc: | |
pages = list(doc) | |
with ThreadPoolExecutor(max_workers=max_workers) as executor: | |
texts = list(executor.map(_extract_text, pages)) | |
if chunk_size > 1: | |
chunks = [] | |
for i in range(0, len(texts), chunk_size): | |
chunk = ' '.join([t for t in texts[i:i+chunk_size] if t]) | |
if chunk: | |
chunks.append(chunk) | |
return chunks if chunks else ["No data found in this document (local PDF empty)"] | |
return [t for t in texts if t] or ["No data found in this document (local PDF empty)"] | |
except Exception as e: | |
print(f"β Failed to open local file: {str(e)}") | |
return [f"No data found in this document (local file error)"] | |