import pdfkit import streamlit as st from src.exceptions import PDFSizeException from src.pdf_handler import build_html_resume, parse_pdf from src.utils import count_entries def init_resume(uploaded_file): resume_data, num_pages = parse_pdf(uploaded_file) if num_pages > 3: raise PDFSizeException st.session_state['file_id'] = uploaded_file.id return resume_data def update_resume_data(text_input, section_name, item_id=0): if section_name in ['workExperience', 'education']: key = 'description' st.session_state['resume_data'][section_name][item_id][key] = text_input elif section_name == 'summary': section_key = f'{section_name}' st.session_state['resume_data'][section_key] = text_input @st.cache def download_pdf(): if st.session_state.get('name'): resume_data = format_resume_data() else: resume_data = st.session_state['resume_data'] html_resume = build_html_resume(resume_data) options = {'page-size': 'A4', 'margin-top': '0.75in', 'margin-right': '0.75in', 'margin-bottom': '0.75in', 'margin-left': '0.75in', 'encoding': "UTF-8", 'no-outline': None} return pdfkit.from_string(html_resume, options=options, css='src/css/main.css') def improve_resume(resume_data=None): if resume_data is not None: st.session_state['resume_data'] = st.session_state['chatbot'].improve_resume(resume_data) else: st.session_state['resume_data'] = st.session_state['chatbot'].improve_resume(st.session_state['resume_data']) def format_resume_data(): current_state = st.session_state resume_data = {} contact_info = {} work_experience = [] education = [] skills = [] resume_data['name'] = current_state.get('name', '') resume_data['title'] = current_state.get('title', '') contact_info_keys = ['linkedin', 'github', 'email', 'address'] for key in contact_info_keys: contact_info[key] = current_state.get(f'contactInfo_{key}', '') resume_data['contactInfo'] = contact_info resume_data['summary'] = current_state.get('summary', '') work_experience_keys = ['workExperience_{}_title', 'workExperience_{}_company', 'workExperience_{}_dates', 'workExperience_{}_description'] education_keys = ['education_{}_degree', 'education_{}_school', 'education_{}_dates', 'education_{}_description'] total_work_experience = count_entries(st.session_state, 'workExperience') total_education = count_entries(st.session_state, 'education') for i in range(total_work_experience): work_experience.append( {key.split('_')[2]: current_state.get(key.format(i), '') for key in work_experience_keys}) for i in range(total_education): education.append({key.split('_')[2]: current_state.get(key.format(i), '') for key in education_keys}) resume_data['workExperience'] = work_experience resume_data['education'] = education total_skills = count_entries(st.session_state, 'skills') for i in range(total_skills): skill_key = f'skills_{i}' skills.append(current_state.get(skill_key, '')) resume_data['skills'] = skills return resume_data