nordabiz/blueprints/reports/routes.py

"""
Reports Routes
==============

Business analytics and reporting endpoints.
"""

from datetime import datetime, date
from flask import render_template, url_for
from flask_login import login_required
from utils.decorators import member_required
from sqlalchemy import func
from sqlalchemy.orm import joinedload

from . import bp
from database import SessionLocal, Company, Category, CompanySocialMedia


@bp.route('/', endpoint='reports_index')
@login_required
@member_required
def index():
    """Lista dostępnych raportów."""
    reports = [
        {
            'id': 'staz-czlonkostwa',
            'title': 'Staż członkostwa w Izbie NORDA',
            'description': 'Zestawienie firm według daty przystąpienia do Izby. Pokazuje historię i lojalność członków.',
            'icon': '🏆',
            'url': url_for('.report_membership')
        },
        {
            'id': 'social-media',
            'title': 'Pokrycie Social Media',
            'description': 'Analiza obecności firm w mediach społecznościowych: Facebook, Instagram, LinkedIn, YouTube, TikTok, X.',
            'icon': '📱',
            'url': url_for('.report_social_media')
        },
        {
            'id': 'struktura-branzowa',
            'title': 'Struktura branżowa',
            'description': 'Rozkład firm według kategorii działalności: IT, Budownictwo, Usługi, Produkcja, Handel.',
            'icon': '🏢',
            'url': url_for('.report_categories')
        },
    ]
    return render_template('reports/index.html', reports=reports)


@bp.route('/staz-czlonkostwa', endpoint='report_membership')
@login_required
@member_required
def membership():
    """Raport: Staż członkostwa w Izbie NORDA."""
    db = SessionLocal()
    try:
        # Firmy z member_since, posortowane od najstarszego
        companies = db.query(Company).filter(
            Company.member_since.isnot(None)
        ).order_by(Company.member_since.asc()).all()

        # Statystyki
        today = date.today()
        stats = {
            'total_with_date': len(companies),
            'total_without_date': db.query(Company).filter(
                Company.member_since.is_(None)
            ).count(),
            'oldest': companies[0] if companies else None,
            'newest': companies[-1] if companies else None,
            'avg_years': sum(
                (today - c.member_since).days / 365.25
                for c in companies
            ) / len(companies) if companies else 0
        }

        # Dodaj obliczony staż do każdej firmy
        for c in companies:
            c.membership_years = int((today - c.member_since).days / 365.25)

        # Dodaj też do oldest i newest
        if stats['oldest']:
            stats['oldest'].membership_years = int((today - stats['oldest'].member_since).days / 365.25)

        return render_template(
            'reports/membership.html',
            companies=companies,
            stats=stats,
            generated_at=datetime.now()
        )
    finally:
        db.close()


@bp.route('/social-media', endpoint='report_social_media')
@login_required
@member_required
def social_media():
    """Raport: Pokrycie Social Media."""
    db = SessionLocal()
    try:
        # Wszystkie firmy z ich profilami social media
        companies = db.query(Company).options(
            joinedload(Company.social_media_profiles)
        ).order_by(Company.name).all()

        platforms = ['facebook', 'instagram', 'linkedin', 'youtube', 'tiktok', 'twitter']

        # Statystyki platform
        platform_stats = {}
        for platform in platforms:
            count = db.query(CompanySocialMedia).filter_by(
                platform=platform
            ).count()
            platform_stats[platform] = {
                'count': count,
                'percent': round(count / len(companies) * 100, 1) if companies else 0
            }

        # Firmy z min. 1 profilem
        companies_with_social = [
            c for c in companies if c.social_media_profiles
        ]

        stats = {
            'total_companies': len(companies),
            'with_social': len(companies_with_social),
            'without_social': len(companies) - len(companies_with_social),
            'coverage_percent': round(
                len(companies_with_social) / len(companies) * 100, 1
            ) if companies else 0
        }

        return render_template(
            'reports/social_media.html',
            companies=companies,
            platforms=platforms,
            platform_stats=platform_stats,
            stats=stats,
            generated_at=datetime.now()
        )
    finally:
        db.close()


@bp.route('/struktura-branzowa', endpoint='report_categories')
@login_required
@member_required
def categories():
    """Raport: Struktura branżowa."""
    db = SessionLocal()
    try:
        # Grupowanie po category_id (kolumna FK, nie relacja)
        category_counts = db.query(
            Company.category_id,
            func.count(Company.id).label('count')
        ).group_by(Company.category_id).all()

        total = sum(c.count for c in category_counts)

        # Pobierz mapę kategorii (id -> name) jednym zapytaniem
        category_map = {cat.id: cat.name for cat in db.query(Category).all()}

        categories_list = []
        for cat in category_counts:
            cat_id = cat.category_id
            cat_name = category_map.get(cat_id, 'Brak kategorii') if cat_id else 'Brak kategorii'

            examples = db.query(Company.name).filter(
                Company.category_id == cat_id
            ).limit(3).all()

            categories_list.append({
                'name': cat_name,
                'count': cat.count,
                'percent': round(cat.count / total * 100, 1) if total else 0,
                'examples': [e.name for e in examples]
            })

        # Sortuj od największej
        categories_list.sort(key=lambda x: x['count'], reverse=True)

        return render_template(
            'reports/categories.html',
            categories=categories_list,
            total=total,
            generated_at=datetime.now()
        )
    finally:
        db.close()