main.py

"""
ResumeIQ - AI Resume Analyzer
Main application entry point
"""
import streamlit as st
import os
from dotenv import load_dotenv

# Import modular components
from ui.session_state import initialize_session_state
from ui.file_upload import render_file_upload
from ui.job_description import render_job_description_input
from ui.results_display import display_results
from ui.interview_scheduling import display_scheduled_interviews
from core.analyzer import analyze_resumes
from db.database import ResumeMatchDB

# Load environment variables
load_dotenv()

# Page configuration
st.set_page_config(page_title="AI Resume Analyzer", page_icon="📋", layout="wide")
st.title("📋 AI Resume Analyzer")

# Initialize session state
initialize_session_state()

# LLM Configuration
DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
DEEPSEEK_MODEL = os.getenv("DEEPSEEK_MODEL", "deepseek-chat")
DEEPSEEK_BASE_URL = os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com")

if not DEEPSEEK_API_KEY:
    st.warning("⚠️ DEEPSEEK_API_KEY not configured. Please set it in Hugging Face Space Settings → Repository secrets.")
    st.info("💡 Add `DEEPSEEK_API_KEY` as a secret in your Space settings to enable AI analysis.")
    # Don't stop - let the UI load so users can see the interface

# Initialize database connection
try:
    db = ResumeMatchDB()
except Exception as e:
    st.error(f"❌ Database Connection Error: {str(e)}")
    db = None

# File Upload Section
uploaded_files = render_file_upload()

# Job Description Section
job_descriptions = render_job_description_input()

# Analysis Status
if uploaded_files or job_descriptions:
    with st.expander("📊 Ready to Analyze", expanded=False):
        st.write(f"**Resumes loaded:** {len(uploaded_files) if uploaded_files else 0}")
        st.write(f"**Job descriptions:** {len(job_descriptions) if job_descriptions else 0}")
        if job_descriptions:
            for idx, jd in enumerate(job_descriptions):
                st.write(f"  - {jd['title']} ({len(jd['content'])} characters)")

# Analyze Button
if uploaded_files and job_descriptions:
    if st.button("🔍 Analyze Resumes"):
        analyze_resumes(
            uploaded_files, 
            job_descriptions, 
            DEEPSEEK_API_KEY, 
            DEEPSEEK_MODEL, 
            DEEPSEEK_BASE_URL
        )
elif uploaded_files and not job_descriptions:
    st.warning("⚠️ Please enter or upload a job description before analyzing resumes.")
elif not uploaded_files and job_descriptions:
    st.warning("⚠️ Please upload resumes before analyzing.")

# Display Content in Tabs
st.divider()
if st.session_state.results:
    tab1, tab2 = st.tabs(["📊 Analysis Results", "📅 Upcoming Interviews"])
    with tab1:
        display_results()
    with tab2:
        display_scheduled_interviews()
else:
    # If no results yet, just show upcoming interviews
    display_scheduled_interviews()