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feat: Add job search coaching tips based on user behavior"

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  1. backend/app/api/routes/coaching.py +173 -0
backend/app/api/routes/coaching.py ADDED
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+ """
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+ Smart coaching - analyzes user's job search behavior and provides actionable tips.
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+ """
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+ from datetime import datetime, timedelta, timezone
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+
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+ from fastapi import APIRouter
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+ from sqlalchemy import func, select
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+
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+ from app.api.deps import CurrentUser, DBSession
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+ from app.models.application import Application
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+ from app.models.job import SavedJob
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+ from app.models.user import Profile
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+
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+ router = APIRouter(prefix="/coaching", tags=["coaching"])
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+
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+
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+ @router.get("/tips")
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+ async def get_coaching_tips(db: DBSession, user: CurrentUser):
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+ """
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+ Analyze job search behavior and return personalized coaching tips.
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+ Based on patterns in applications, saved jobs, and profile completeness.
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+ """
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+ now = datetime.now(timezone.utc)
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+ week_ago = now - timedelta(days=7)
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+ month_ago = now - timedelta(days=30)
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+
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+ tips = []
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+
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+ # Check profile completeness
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+ profile_result = await db.execute(select(Profile).where(Profile.user_id == user.id))
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+ profile = profile_result.scalar_one_or_none()
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+
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+ if not profile or not profile.headline:
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+ tips.append({
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+ "priority": "high",
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+ "category": "profile",
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+ "tip": "Complete your profile headline",
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+ "detail": "Profiles with headlines get 3x better AI recommendations. Add a clear headline like 'Senior Frontend Engineer'.",
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+ "action_url": "/profile",
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+ })
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+
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+ if not profile or not profile.skills or len(profile.skills) < 5:
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+ tips.append({
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+ "priority": "high",
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+ "category": "profile",
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+ "tip": "Add more skills to your profile",
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+ "detail": "The AI recommendation engine uses your skills to match jobs. Add at least 8-10 key skills.",
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+ "action_url": "/profile",
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+ })
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+
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+ if not profile or not profile.experience:
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+ tips.append({
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+ "priority": "high",
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+ "category": "profile",
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+ "tip": "Add your work experience",
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+ "detail": "Experience data powers resume tailoring and interview prep. Even 1-2 roles help significantly.",
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+ "action_url": "/profile",
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+ })
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+
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+ # Application frequency
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+ weekly_apps = await db.scalar(
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+ select(func.count(Application.id)).where(
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+ Application.user_id == user.id, Application.created_at >= week_ago
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+ )
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+ ) or 0
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+
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+ monthly_apps = await db.scalar(
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+ select(func.count(Application.id)).where(
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+ Application.user_id == user.id, Application.created_at >= month_ago
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+ )
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+ ) or 0
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+
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+ if weekly_apps == 0 and monthly_apps > 0:
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+ tips.append({
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+ "priority": "medium",
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+ "category": "consistency",
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+ "tip": "You haven't applied to anything this week",
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+ "detail": "Consistency beats volume. Try to apply to 3-5 quality jobs per week to maintain momentum.",
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+ "action_url": "/jobs",
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+ })
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+ elif monthly_apps == 0:
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+ tips.append({
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+ "priority": "high",
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+ "category": "action",
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+ "tip": "Start applying!",
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+ "detail": "You haven't applied to any jobs yet. Browse jobs and start with roles you're most excited about.",
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+ "action_url": "/jobs",
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+ })
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+ elif weekly_apps > 15:
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+ tips.append({
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+ "priority": "medium",
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+ "category": "quality",
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+ "tip": "Consider quality over quantity",
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+ "detail": f"You applied to {weekly_apps} jobs this week. Try tailoring your resume for your top 5 picks instead of spray-and-pray.",
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+ "action_url": "/resume",
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+ })
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+
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+ # Check response rate
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+ total_apps = await db.scalar(
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+ select(func.count(Application.id)).where(Application.user_id == user.id)
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+ ) or 0
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+
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+ if total_apps >= 10:
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+ responded = await db.scalar(
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+ select(func.count(Application.id)).where(
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+ Application.user_id == user.id,
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+ Application.status.in_(("screening", "interviewing", "offer", "accepted", "rejected")),
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+ )
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+ ) or 0
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+
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+ response_rate = (responded / total_apps) * 100
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+ if response_rate < 15:
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+ tips.append({
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+ "priority": "high",
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+ "category": "resume",
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+ "tip": "Low response rate - review your resume",
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+ "detail": f"Your response rate is {response_rate:.0f}%. Industry average is 15-25%. Try the ATS checker to optimize keywords.",
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+ "action_url": "/ats-checker",
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+ })
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+
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+ # Check saved jobs not applied
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+ saved_count = await db.scalar(
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+ select(func.count(SavedJob.id)).where(SavedJob.user_id == user.id)
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+ ) or 0
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+
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+ if saved_count > 10 and weekly_apps < 3:
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+ tips.append({
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+ "priority": "medium",
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+ "category": "action",
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+ "tip": f"You have {saved_count} saved jobs — time to apply!",
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+ "detail": "Saved jobs expire. Review your saved list and apply to your top choices this week.",
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+ "action_url": "/saved",
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+ })
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+
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+ # Ghosted applications
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+ ghosted = await db.scalar(
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+ select(func.count(Application.id)).where(
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+ Application.user_id == user.id, Application.status == "ghosted"
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+ )
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+ ) or 0
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+
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+ if ghosted >= 3:
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+ tips.append({
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+ "priority": "low",
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+ "category": "follow_up",
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+ "tip": f"{ghosted} applications marked as ghosted",
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+ "detail": "Getting ghosted is normal. Consider sending a brief follow-up email 7 days after applying.",
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+ "action_url": "/applications",
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+ })
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+
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+ # Networking tip
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+ if total_apps >= 5 and not tips:
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+ tips.append({
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+ "priority": "low",
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+ "category": "networking",
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+ "tip": "Boost your odds with networking",
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+ "detail": "Referrals have 5-10x higher success rates. Use the Networking page to draft outreach messages.",
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+ "action_url": "/networking",
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+ })
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+
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+ # Sort by priority
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+ priority_order = {"high": 0, "medium": 1, "low": 2}
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+ tips.sort(key=lambda t: priority_order.get(t["priority"], 99))
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+
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+ return {
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+ "tips": tips[:5], # Max 5 tips
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+ "stats": {
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+ "weekly_applications": weekly_apps,
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+ "monthly_applications": monthly_apps,
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+ "total_applications": total_apps,
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+ "saved_jobs": saved_count,
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+ },
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+ }