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| import fitz # PyMuPDF | |
| import requests | |
| from io import BytesIO | |
| from concurrent.futures import ThreadPoolExecutor | |
| from PIL import Image | |
| import pytesseract | |
| import imghdr | |
| from bs4 import BeautifulSoup # pip install beautifulsoup4 | |
| def _extract_text(page): | |
| text = page.get_text() | |
| return text.strip() if text and text.strip() else None | |
| def is_image(content): | |
| return imghdr.what(None, h=content) in ["jpeg", "png", "bmp", "gif", "tiff", "webp"] | |
| def extract_text_from_image_bytes(image_bytes): | |
| image = Image.open(BytesIO(image_bytes)) | |
| return pytesseract.image_to_string(image).strip() | |
| def parse_pdf_from_url_multithreaded(url, max_workers=2, chunk_size=1): | |
| """ | |
| Download document (PDF, Image, or Webpage) from URL, extract text accordingly. | |
| Gracefully return fallback message if unsupported or failed. | |
| """ | |
| try: | |
| res = requests.get(url) | |
| content = res.content | |
| content_type = res.headers.get("content-type", "").lower() | |
| except Exception as e: | |
| print(f"❌ Failed to download: {str(e)}") | |
| return [f"No data found in this document (download error)"] | |
| # Handle HTML webpages | |
| if "text/html" in content_type or url.endswith(".html"): | |
| print("🌐 Detected HTML page. Extracting text...") | |
| try: | |
| soup = BeautifulSoup(content, "html.parser") | |
| text = soup.get_text(separator="\n") | |
| lines = [t.strip() for t in text.splitlines() if t.strip()] | |
| return lines if lines else ["No data found in this document (empty HTML)"] | |
| except Exception as e: | |
| print(f"❌ HTML parse failed: {str(e)}") | |
| return [f"No data found in this document (HTML error)"] | |
| # Check for unsupported content | |
| if "zip" in content_type or url.endswith(".zip"): | |
| return ["No data found in this document (zip)"] | |
| if "octet-stream" in content_type or url.endswith(".bin"): | |
| return ["No data found in this document (bin)"] | |
| # OCR for image files | |
| if "image" in content_type or is_image(content): | |
| print("📷 Detected image file. Using OCR...") | |
| try: | |
| text = extract_text_from_image_bytes(content) | |
| return [text] if text else ["No data found in this document (image empty)"] | |
| except Exception as e: | |
| print(f"❌ OCR failed: {str(e)}") | |
| return [f"No data found in this document (image/OCR error)"] | |
| # Try PDF parsing | |
| try: | |
| with fitz.open(stream=BytesIO(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"❌ 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): | |
| """ | |
| Parse a local PDF file, extract text in parallel, optionally chunk pages. | |
| """ | |
| 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"❌ Failed to open local file: {str(e)}") | |
| return [f"No data found in this document (local file error)"] | |