| """ | |
| Data loading functions for personal information | |
| """ | |
| from pypdf import PdfReader | |
| import os | |
| def load_linkedin_pdf(filename="linkedin.pdf", paths=["me/", "../../me/", "../me/"]): | |
| """Load and extract text from LinkedIn PDF""" | |
| for path in paths: | |
| try: | |
| full_path = os.path.join(path, filename) | |
| reader = PdfReader(full_path) | |
| linkedin = "" | |
| for page in reader.pages: | |
| text = page.extract_text() | |
| if text: | |
| linkedin += text | |
| print(f"✅ Successfully loaded LinkedIn PDF from {path}") | |
| return linkedin | |
| except FileNotFoundError: | |
| continue | |
| print("❌ LinkedIn PDF not found") | |
| return "LinkedIn profile not found. Please ensure you have a linkedin.pdf file in the me/ directory." | |
| def load_text_file(filename, paths=["me/", "../../me/", "../me/"]): | |
| """Load text from a file, trying multiple paths""" | |
| for path in paths: | |
| try: | |
| full_path = os.path.join(path, filename) | |
| with open(f"{path}{filename}", "r", encoding="utf-8") as f: | |
| content = f.read() | |
| print(f"✅ Successfully loaded {filename} from {path}") | |
| return content | |
| except FileNotFoundError: | |
| continue | |
| print(f"❌ {filename} not found") | |
| return f"{filename} not found. Please create this file in the me/ directory." | |
| def load_personal_data(): | |
| """Load all personal data files""" | |
| linkedin = load_linkedin_pdf() | |
| summary = load_text_file("summary.txt") | |
| faq = load_text_file("faq.txt") | |
| return { | |
| "linkedin": linkedin, | |
| "summary": summary, | |
| "faq": faq | |
| } |