generate_cvs.py

from fpdf import FPDF
import os
import random

# Create directory
output_dir = "dummy_resumes"
if not os.path.exists(output_dir):
    os.makedirs(output_dir)

# Profiles
profiles = [
    # PERFECT MATCHES (Python + React + Senior)
    {
        "name": "Kamal Perera",
        "email": "kamal.perera@example.com",
        "phone": "+94 77 123 4567",
        "role": "Senior Full Stack Engineer",
        "summary": "Senior Software Engineer with 6 years of experience in Python (FastAPI/Django) and React. Expert in AWS and Docker.",
        "skills": ["Python", "React", "FastAPI", "PostgreSQL", "AWS", "Docker", "TypeScript", "Tailwind CSS"],
        "exp": "6 years at TechCorp. Built scalable microservices.",
    },
    {
        "name": "Sarah Jenkins",
        "email": "sarah.j@example.com",
        "phone": "+1 555 0199",
        "role": "Lead Developer",
        "summary": "Full Stack Developer specializing in Python and React. 7 years experience.",
        "skills": ["Python", "Django", "React", "Redux", "Azure", "CI/CD"],
        "exp": "Lead dev leading a team of 5.",
    },
    {
        "name": "Nuwan Pradeep",
        "email": "nuwan.p@example.com",
        "phone": "+94 71 222 3333",
        "role": "Senior Python/React Dev",
        "summary": "Passionate developer with strong background in Python backend and React frontend.",
        "skills": ["Python", "Flask", "React", "Next.js", "MongoDB", "Kubernetes"],
        "exp": "5 years building SaaS products.",
    },
    {
        "name": "David Miller",
        "email": "david.m@example.com",
        "phone": "+44 7700 900077",
        "role": "Full Stack Architect",
        "summary": "Architecting cloud-native solutions using Python and React.",
        "skills": ["Python", "FastAPI", "React", "GraphQL", "AWS Lambda", "Terraform"],
        "exp": "8 years in software architecture.",
    },
    {
        "name": "Priya Sharma",
        "email": "priya.s@example.com",
        "phone": "+91 98765 43210",
        "role": "Senior Software Engineer",
        "summary": "Expert in Python backends and modern Javascript frontends.",
        "skills": ["Python", "React.js", "PostgreSQL", "Redis", "Celery"],
        "exp": "5.5 years experience.",
    },

    # GOOD MATCHES (Either Strong Python OR Strong React, or slightly junior)
    {
        "name": "Kasun Kalhara",
        "email": "kasun.k@example.com",
        "phone": "+94 70 111 2222",
        "role": "Frontend Engineer",
        "summary": "React specialist with some Python knowledge.",
        "skills": ["React", "Redux", "TypeScript", "JavaScript", "HTML", "CSS", "Basic Python"],
        "exp": "4 years focused on frontend.",
    },
    {
        "name": "John Doe",
        "email": "john.doe@example.com",
        "phone": "+1 555 1234",
        "role": "Backend Engineer",
        "summary": "Python expert. Love building APIs.",
        "skills": ["Python", "Django", "Flask", "SQLAlchemy", "PostgreSQL", "API Design"],
        "exp": "4 years backend focused.",
    },
    {
        "name": "Nimali Silva",
        "email": "nimali.s@example.com",
        "phone": "+94 76 555 6666",
        "role": "Full Stack Developer",
        "summary": "3 years experience in Python and React.",
        "skills": ["Python", "React", "MySQL", "Git"],
        "exp": "3 years experience. Looking for senior role.",
    },
    {
        "name": "James Wilson",
        "email": "james.w@example.com",
        "phone": "+1 555 8888",
        "role": "Python Developer",
        "summary": "Strong Python skills, learning React.",
        "skills": ["Python", "Pandas", "NumPy", "Basic React"],
        "exp": "3 years in Data Science turned Web Dev.",
    },
    {
        "name": "Isuru Udana",
        "email": "isuru.u@example.com",
        "phone": "+94 77 999 0000",
        "role": "Web Developer",
        "summary": "Web developer with experience in MERN stack, willing to switch to Python.",
        "skills": ["React", "Node.js", "Express", "MongoDB", "JavaScript"],
        "exp": "4 years with Node.js.",
    },

    # WEAK MATCHES (Junior, Wrong Stack)
    {
        "name": "Saman Kumara",
        "email": "saman.k@example.com",
        "phone": "+94 71 000 1111",
        "role": "Junior Developer",
        "summary": "Fresh graduate looking for first job.",
        "skills": ["Java", "C++", "Basic Python", "HTML"],
        "exp": "Internship experience only.",
    },
    {
        "name": "Emily Rose",
        "email": "emily.r@example.com",
        "phone": "+1 555 3333",
        "role": "Java Developer",
        "summary": "Enterprise Java developer.",
        "skills": ["Java", "Spring Boot", "Hibernate", "Oracle"],
        "exp": "5 years in Banking sector.",
    },
    {
        "name": "Robert Brown",
        "email": "robert.b@example.com",
        "phone": "+1 555 4444",
        "role": ".NET Developer",
        "summary": "C# and .NET Core expert.",
        "skills": ["C#", ".NET", "Azure", "MSSQL"],
        "exp": "6 years Microsoft stack.",
    },
    {
        "name": "Chathuri Bandara",
        "email": "chathuri.b@example.com",
        "phone": "+94 75 123 1234",
        "role": "PHP Developer",
        "summary": "WordPress and Laravel developer.",
        "skills": ["PHP", "Laravel", "MySQL", "jQuery"],
        "exp": "4 years in web agency.",
    },
    {
        "name": "Michael Chang",
        "email": "michael.c@example.com",
        "phone": "+1 555 7777",
        "role": "Frontend Dev",
        "summary": "Angular and Vue.js expert.",
        "skills": ["Angular", "Vue.js", "TypeScript", "SCSS"],
        "exp": "5 years.",
    },

    # MISMATCHES (Non-Tech)
    {
        "name": "Dilshan Perera",
        "email": "dilshan.p@example.com",
        "phone": "+94 71 555 4444",
        "role": "Accountant",
        "summary": "Experienced Accountant with CPA.",
        "skills": ["Accounting", "Excel", "QuickBooks", "Taxation"],
        "exp": "7 years in finance.",
    },
    {
        "name": "Jessica Lee",
        "email": "jessica.l@example.com",
        "phone": "+1 555 6666",
        "role": "Marketing Manager",
        "summary": "Digital Marketing specialist.",
        "skills": ["SEO", "Content Marketing", "Google Ads", "Social Media"],
        "exp": "5 years.",
    },
    {
        "name": "Ruwan Silva",
        "email": "ruwan.s@example.com",
        "phone": "+94 77 333 3333",
        "role": "Chef",
        "summary": "Executive Chef specializing in Italian cuisine.",
        "skills": ["Cooking", "Menu Planning", "Food Safety"],
        "exp": "10 years.",
    },
    {
        "name": "Linda White",
        "email": "linda.w@example.com",
        "phone": "+1 555 2222",
        "role": "HR Manager",
        "summary": "Human Resources professional.",
        "skills": ["Recruitment", "Employee Relations", "Labor Law"],
        "exp": "8 years.",
    },
    {
        "name": "Amara Gunawardena",
        "email": "amara.g@example.com",
        "phone": "+94 71 888 9999",
        "role": "Driver",
        "summary": "Professional Driver.",
        "skills": ["Driving", "Vehicle Maintenance"],
        "exp": "15 years.",
    },
]

class PDF(FPDF):
    def header(self):
        self.set_font('Arial', 'B', 15)
        self.cell(0, 10, 'Curriculum Vitae', 0, 1, 'C')
        self.ln(5)

    def chapter_title(self, title):
        self.set_font('Arial', 'B', 12)
        self.set_fill_color(200, 220, 255)
        self.cell(0, 6, title, 0, 1, 'L', 1)
        self.ln(4)

    def chapter_body(self, body):
        self.set_font('Arial', '', 11)
        self.multi_cell(0, 5, body)
        self.ln()

print(f"Generating {len(profiles)} resumes...")

for p in profiles:
    pdf = PDF()
    pdf.add_page()
    
    # Name
    pdf.set_font('Arial', 'B', 16)
    pdf.cell(0, 10, p["name"], 0, 1)
    
    # Contact
    pdf.set_font('Arial', '', 10)
    pdf.cell(0, 5, f"Email: {p['email']}", 0, 1)
    pdf.cell(0, 5, f"Phone: {p['phone']}", 0, 1)
    pdf.ln(10)
    
    # Role
    pdf.chapter_title("Professional Summary")
    pdf.chapter_body(f"{p['role']}\n\n{p['summary']}")
    
    # Skills
    pdf.chapter_title("Key Skills")
    pdf.chapter_body(", ".join(p["skills"]))
    
    # Experience
    pdf.chapter_title("Experience")
    pdf.chapter_body(p["exp"])
    
    # Education (Generic)
    pdf.chapter_title("Education")
    pdf.chapter_body("Bachelor's Degree in Computer Science / Related Field\nUniversity of Technology (2015-2019)")
    
    filename = f"{p['name'].replace(' ', '_')}_Resume.pdf"
    pdf.output(os.path.join(output_dir, filename))
    print(f"Created {filename}")

print("Done! Check 'dummy_resumes' folder.")