app.polisplexity.tech/pxy_dashboard/apps/views.py

from django.views.generic.base import TemplateView
from django.contrib.auth.mixins import LoginRequiredMixin


class AppsView(LoginRequiredMixin, TemplateView):
    pass

# ───── Existing ──────────────────────────────────────────────────────────────

# Calendar
apps_calendar_view = AppsView.as_view(template_name="pxy_dashboard/apps/apps-calendar.html")
# Chat
apps_chat_view = AppsView.as_view(template_name="pxy_dashboard/apps/apps-chat.html")
# Email
apps_email_inbox_view = AppsView.as_view(template_name="pxy_dashboard/apps/apps-email-inbox.html")
apps_email_read = AppsView.as_view(template_name="pxy_dashboard/apps/apps-email-read.html")
# Tasks
apps_tasks = AppsView.as_view(template_name="pxy_dashboard/apps/apps-tasks.html")
apps_tasks_details = AppsView.as_view(template_name="pxy_dashboard/apps/apps-tasks-details.html")
# Kanban
apps_kanban_board = AppsView.as_view(template_name="pxy_dashboard/apps/apps-kanban.html")
# File Manager
apps_file_manager = AppsView.as_view(template_name="pxy_dashboard/apps/apps-file-manager.html")

# ───── Waste Collection Intelligence ─────────────────────────────────────────

# Pre-Operation
#apps_zone_definition = AppsView.as_view(template_name="pxy_dashboard/apps/apps-zone-definition.html")
apps_route_optimization = AppsView.as_view(template_name="pxy_dashboard/apps/apps-route-optimization.html")
apps_dispatch_plan = AppsView.as_view(template_name="pxy_dashboard/apps/apps-dispatch-plan.html")

# Operation – Physical & Social Digital Twin
apps_urban_digital_twin = AppsView.as_view(template_name="pxy_dashboard/apps/apps-urban-digital-twin.html")
apps_whatsapp_bot = AppsView.as_view(template_name="pxy_dashboard/apps/apps-whatsapp-bot.html")
apps_telegram_bot = AppsView.as_view(template_name="pxy_dashboard/apps/apps-telegram-bot.html")
apps_facebook_pages_bot = AppsView.as_view(template_name="pxy_dashboard/apps/apps-facebook-pages-bot.html")
apps_feedback_loop = AppsView.as_view(template_name="pxy_dashboard/apps/apps-feedback-loop.html")

# Post-Operation
apps_route_analytics = AppsView.as_view(template_name="pxy_dashboard/apps/apps-route-analytics.html")
apps_feedback_review = AppsView.as_view(template_name="pxy_dashboard/apps/apps-feedback-review.html")
apps_twin_refinement = AppsView.as_view(template_name="pxy_dashboard/apps/apps-twin-refinement.html")

# System Control
apps_sync_monitor = AppsView.as_view(template_name="pxy_dashboard/apps/apps-sync-monitor.html")
apps_logs_webhooks = AppsView.as_view(template_name="pxy_dashboard/apps/apps-logs-webhooks.html")
apps_logs_parsing = AppsView.as_view(template_name="pxy_dashboard/apps/apps-logs-parsing.html")
apps_logs_limits = AppsView.as_view(template_name="pxy_dashboard/apps/apps-logs-limits.html")
apps_config_api = AppsView.as_view(template_name="pxy_dashboard/apps/apps-config-api.html")
apps_config_map = AppsView.as_view(template_name="pxy_dashboard/apps/apps-config-map.html")
apps_config_collection = AppsView.as_view(template_name="pxy_dashboard/apps/apps-config-collection.html")


from django.shortcuts import render
from .models import GeoScenario
import pandas as pd

def zone_definition_view(request):
    scenario = GeoScenario.objects.last()
    chart_data = {}
    viviendas_data = {}
    city_options = []
    scatter_series = {}

    if scenario and scenario.csv_file:
        df = pd.read_csv(scenario.csv_file.path)
        df = df.fillna(0)

        # Solo conservar zonas con generación total > 0
        df = df[df["GEN_TOT"] > 0]

        # Opciones de ciudad
        city_options = sorted(df["N_URBANO"].dropna().unique())
        selected_city = request.GET.get("city") or (city_options[0] if city_options else None)

        # Barras por zona (residuos)
        if selected_city:
            city_df = df[df["N_URBANO"] == selected_city]
            grouped = (
                city_df.groupby("COD_ZONA")[["GEN_ORG", "GEN_INVA", "GEN_RESTO"]]
                .sum()
                .reset_index()
                .sort_values(by="GEN_ORG", ascending=False)
            )
            chart_data = {
                "zones": grouped["COD_ZONA"].astype(str).tolist(),
                "gen_org": grouped["GEN_ORG"].round(2).tolist(),
                "gen_inva": grouped["GEN_INVA"].round(2).tolist(),
                "gen_resto": grouped["GEN_RESTO"].round(2).tolist(),
            }

            # Barras por zona (viviendas)
            viviendas_grouped = (
                city_df.groupby("COD_ZONA")["num_viviendas"]
                .sum()
                .reset_index()
                .sort_values(by="num_viviendas", ascending=False)
            )
            viviendas_data = {
                "zones": viviendas_grouped["COD_ZONA"].astype(str).tolist(),
                "viviendas": viviendas_grouped["num_viviendas"].astype(int).tolist(),
            }

        # Dispersión por ciudad
        scatter_series = {
            "GEN_ORG": [],
            "GEN_INVA": [],
            "GEN_RESTO": [],
        }

        city_grouped = (
            df.groupby("N_URBANO")[["num_viviendas", "GEN_ORG", "GEN_INVA", "GEN_RESTO"]]
            .sum()
            .reset_index()
        )

        for _, row in city_grouped.iterrows():
            viviendas = float(row["num_viviendas"])
            if viviendas == 0:
                continue
            city = row["N_URBANO"]
            if row["GEN_ORG"] > 0:
                scatter_series["GEN_ORG"].append({"x": viviendas, "y": float(row["GEN_ORG"]), "city": city})
            if row["GEN_INVA"] > 0:
                scatter_series["GEN_INVA"].append({"x": viviendas, "y": float(row["GEN_INVA"]), "city": city})
            if row["GEN_RESTO"] > 0:
                scatter_series["GEN_RESTO"].append({"x": viviendas, "y": float(row["GEN_RESTO"]), "city": city})

    return render(request, "pxy_dashboard/apps/apps-zone-definition.html", {
        "chart_data": chart_data,
        "viviendas_data": viviendas_data,
        "scatter_series": scatter_series,
        "cities": city_options,
        "selected_city": selected_city,
    })