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Comparison_Project/app/routes/dashboard.py

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2026-01-24 13:41:52 +05:30
# import matplotlib
# matplotlib.use("Agg")
# from flask import Blueprint, render_template, session, redirect, url_for
# import matplotlib.pyplot as plt
# import io
# import base64
# from app.utils.plot_utils import plot_to_base64
# from app.services.dashboard_service import DashboardService
# dashboard_bp = Blueprint("dashboard", __name__, url_prefix="/dashboard")
# # dashboard_bp = Blueprint("dashboard", __name__)
# # charts
# # def plot_to_base64():
# # img = io.BytesIO()
# # plt.savefig(img, format="png", bbox_inches="tight")
# # plt.close()
# # img.seek(0)
# # return base64.b64encode(img.getvalue()).decode()
# # bar chart
# def bar_chart():
# categories = ["Trench", "Manhole", "Pipe Laying", "Restoration"]
# values = [120, 80, 150, 60]
# plt.figure()
# plt.bar(categories, values)
# plt.title("Work Category Report")
# plt.xlabel("test Category")
# plt.ylabel("test Quantity")
# return plot_to_base64(plt)
# # Pie chart
# def pie_chart():
# labels = ["Completed", "In Progress", "Pending"]
# sizes = [55, 20, 25]
# plt.figure()
# plt.pie(sizes, labels=labels, autopct="%1.1f%%", startangle=140)
# plt.title("Project Status")
# return plot_to_base64(plt)
# # Histogram chart
# def histogram_chart():
# daily_work = [5, 10, 15, 20, 20, 25, 30, 35, 40, 45, 50]
# plt.figure()
# plt.hist(daily_work, bins=5)
# plt.title("Daily Work Distribution")
# plt.xlabel("Work Units")
# plt.ylabel("Frequency")
# return plot_to_base64(plt)
# # Dashboaed page
# @dashboard_bp.route("/")
# def dashboard():
# if not session.get("user_id"):
# return redirect(url_for("auth.login"))
# return render_template(
# "dashboard.html",
# title="Dashboard",
# bar_chart=bar_chart(),
# pie_chart=pie_chart(),
# histogram=histogram_chart()
# )
# # subcontractor dashboard
# @dashboard_bp.route("/subcontractor_dashboard", methods=["GET", "POST"])
# def subcontractor_dashboard():
# if not session.get("user_id"):
# return redirect(url_for("auth.login"))
# tr_dash = DashboardService().bar_chart_of_tr_ex
# return render_template(
# "subcontractor_dashboard.html",
# title="Dashboard",
# bar_chart=tr_dash
# )
from flask import Blueprint, render_template, session, redirect, url_for, jsonify
from sqlalchemy import func
from app import db
from app.models.trench_excavation_model import TrenchExcavation
from app.models.manhole_excavation_model import ManholeExcavation
from app.models.laying_model import Laying
dashboard_bp = Blueprint("dashboard", __name__, url_prefix="/dashboard")
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@dashboard_bp.route("/api/live-stats")
def live_stats():
try:
# 1. Overall Volume
t_count = TrenchExcavation.query.count()
m_count = ManholeExcavation.query.count()
l_count = Laying.query.count()
# 2. Location Distribution (Business reach)
loc_results = db.session.query(
TrenchExcavation.Location,
func.count(TrenchExcavation.id)
).group_by(TrenchExcavation.Location).all()
# 3. Work Timeline (Business productivity trend)
# Assuming your models have a 'created_at' field
timeline_results = db.session.query(
func.date(TrenchExcavation.created_at),
func.count(TrenchExcavation.id)
).group_by(func.date(TrenchExcavation.created_at)).order_by(func.date(TrenchExcavation.created_at)).all()
return jsonify({
"summary": {
"trench": t_count,
"manhole": m_count,
"laying": l_count,
"total": t_count + m_count + l_count
},
"locations": {row[0]: row[1] for row in loc_results if row[0]},
"timeline": {str(row[0]): row[1] for row in timeline_results}
})
except Exception as e:
return jsonify({"error": str(e)}), 500
@dashboard_bp.route("/")
def dashboard():
if not session.get("user_id"):
return redirect(url_for("auth.login"))
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return render_template("dashboard.html", title="Business Intelligence Dashboard")