266 lines
8.6 KiB
Python
266 lines
8.6 KiB
Python
import matplotlib
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matplotlib.use("Agg")
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from flask import Blueprint, render_template, session, redirect, url_for, jsonify, request
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import matplotlib.pyplot as plt
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import io
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import base64
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from app.utils.plot_utils import plot_to_base64
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from app.utils.helpers import login_required
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from app.services.dashboard_service import DashboardService
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from sqlalchemy import func
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from app import db
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# Subcontractor models import
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from app.models.subcontractor_model import Subcontractor
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from app.models.trench_excavation_model import TrenchExcavation
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from app.models.manhole_excavation_model import ManholeExcavation
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from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber
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from app.models.laying_model import Laying
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# client models import
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from app.models.tr_ex_client_model import TrenchExcavationClient
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dashboard_bp = Blueprint("dashboard", __name__, url_prefix="/dashboard")
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@dashboard_bp.route("/")
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def dashboard():
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if not session.get("user_id"):
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return redirect(url_for("auth.login"))
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return render_template("dashboard.html", title="Business Intelligence Dashboard")
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@dashboard_bp.route("/api/live-stats")
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@login_required
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def live_stats():
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try:
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# 1. Overall Volume
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t_count = TrenchExcavation.query.count()
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m_count = ManholeExcavation.query.count()
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l_count = Laying.query.count()
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# 2. Location Distribution (Business reach)
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loc_results = db.session.query(
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TrenchExcavation.Location,
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func.count(TrenchExcavation.id)
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).group_by(TrenchExcavation.Location).all()
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# 3. Work Timeline (Business productivity trend)
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# Assuming your models have a 'created_at' field
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timeline_results = db.session.query(
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func.date(TrenchExcavation.created_at),
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func.count(TrenchExcavation.id)
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).group_by(func.date(TrenchExcavation.created_at)).order_by(func.date(TrenchExcavation.created_at)).all()
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return jsonify({
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"summary": {
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"trench": t_count,
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"manhole": m_count,
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"laying": l_count,
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"total": t_count + m_count + l_count
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},
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"locations": {row[0]: row[1] for row in loc_results if row[0]},
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"timeline": {str(row[0]): row[1] for row in timeline_results}
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})
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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# subcontractor dashboard
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@dashboard_bp.route("/subcontractor_dashboard")
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@login_required
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def subcontractor_dashboard():
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if not session.get("user_id"):
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return redirect(url_for("auth.login"))
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subcontractors = Subcontractor.query.all()
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return render_template(
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"subcontractor_dashboard.html",
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subcontractors=subcontractors
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)
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# API: Get Unique RA Bills
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@dashboard_bp.route("/api/get-ra-bills")
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@login_required
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def get_ra_bills():
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subcontractor_id = request.args.get("subcontractor")
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category = request.args.get("category")
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if not subcontractor_id or not category:
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return {"ra_bills": []}
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match category:
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case "trench_excavation":
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results = db.session.query(
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TrenchExcavation.RA_Bill_No
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).filter(
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TrenchExcavation.subcontractor_id == subcontractor_id
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).distinct().order_by(TrenchExcavation.RA_Bill_No).all()
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# (Add others same pattern later)
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case "manhole_excavation":
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results = db.session.query(
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ManholeExcavation.RA_Bill_No
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).filter(
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ManholeExcavation.subcontractor_id == subcontractor_id
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).distinct().order_by(ManholeExcavation.RA_Bill_No).all()
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case "Manhole_Domestic_Chamber":
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results = db.session.query(
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ManholeDomesticChamber.RA_Bill_No
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).filter(
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ManholeDomesticChamber.subcontractor_id == subcontractor_id
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).distinct().order_by(ManholeDomesticChamber.RA_Bill_No).all()
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case "Laying":
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results = db.session.query(
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Laying.RA_Bill_No
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).filter(
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Laying.subcontractor_id == subcontractor_id
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).distinct().order_by(Laying.RA_Bill_No).all()
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ra_bills = [r[0] for r in results if r[0]]
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print(results)
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return {"ra_bills": ra_bills}
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def total(records, field):
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return float(sum(getattr(r, field) or 0 for r in records))
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@dashboard_bp.route("/api/trench-analysis")
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def trench_analysis():
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subcontractor_id = request.args.get("subcontractor", "").strip()
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ra_bill = request.args.get("ra_bill", "").strip()
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# Convert "1,2,3" -> ["1", "2", "3"]
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ra_bill_list = []
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if ra_bill:
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ra_bill_list = [x.strip() for x in ra_bill.split(",") if x.strip()]
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# Subcontractor Query
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sub_query = TrenchExcavation.query
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if subcontractor_id:
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sub_query = sub_query.filter(
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TrenchExcavation.subcontractor_id == int(subcontractor_id)
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)
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if ra_bill_list:
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sub_query = sub_query.filter(
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TrenchExcavation.RA_Bill_No.in_(ra_bill_list)
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)
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tr_sub = [r.serialize() for r in sub_query.all()]
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# Client Query
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client_query = TrenchExcavationClient.query
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if ra_bill_list:
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client_query = client_query.filter(
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TrenchExcavationClient.RA_Bill_No.in_(ra_bill_list)
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)
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tr_client = [r.serialize() for r in client_query.all()]
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chart_data = [
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{
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"label": "Marshi 0 to 1.5",
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"client": total(client_query.all(), "Marshi_Muddy_Slushy_0_to_1_5_total"),
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"sub": 0
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},
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{
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"label": "Marshi 1.5 to 3.0",
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"client": total(client_query.all(), "Marshi_Muddy_Slushy_1_5_to_3_0_total"),
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"sub": 0
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},
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{
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"label": "Marshi 3.0-4.5",
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"client": total(client_query.all(), "Marshi_Muddy_Slushy_3_0_to_4_5_total"),
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"sub": 0
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},
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{
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"label": "Soft Murum 0-1.5",
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"client": total(client_query.all(), "Soft_Murum_0_to_1_5_total"),
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"sub": total(sub_query.all(), "Soft_Murum_0_to_1_5_total")
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},
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{
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"label": "Soft Murum 1.5-3.0",
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"client": total(client_query.all(), "Soft_Murum_1_5_to_3_0_total"),
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"sub": total(sub_query.all(), "Soft_Murum_1_5_to_3_0_total")
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},
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{
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"label": "Soft Murum 3.0-4.5",
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"client": total(client_query.all(), "Soft_Murum_3_0_to_4_5_total"),
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"sub": total(sub_query.all(), "Soft_Murum_3_0_to_4_5_total")
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},
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{
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"label": "Hard Murum 0-1.5",
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"client": total(client_query.all(), "Hard_Murum_0_to_1_5_total"),
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"sub": total(sub_query.all(), "Hard_Murum_0_to_1_5_total")
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},
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{
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"label": "Hard Murum 1.5+",
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"client": total(client_query.all(), "Hard_Murum_1_5_to_3_0_total"),
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"sub": total(sub_query.all(), "Hard_Murum_1_5_and_above_total")
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},
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{
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"label": "Soft Rock 0-1.5",
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"client": total(client_query.all(), "Soft_Rock_0_to_1_5_total"),
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"sub": total(sub_query.all(), "Soft_Rock_0_to_1_5_total")
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},
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{
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"label": "Soft Rock 1.5+",
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"client": total(client_query.all(), "Soft_Rock_1_5_to_3_0_total"),
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"sub": total(sub_query.all(), "Soft_Rock_1_5_and_above_total")
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},
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{
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"label": "Hard Rock 0-1.5",
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"client": total(client_query.all(), "Hard_Rock_0_to_1_5_total"),
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"sub": total(sub_query.all(), "Hard_Rock_0_to_1_5_total")
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},
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{
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"label": "Hard Rock 1.5-3.0",
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"client": total(client_query.all(), "Hard_Rock_1_5_to_3_0_total"),
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"sub": total(sub_query.all(), "Hard_Rock_1_5_to_3_0_total")
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},
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{
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"label": "Hard Rock 3.0-4.5",
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"client": total(client_query.all(), "Hard_Rock_3_0_to_4_5_total"),
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"sub": total(sub_query.all(), "Hard_Rock_3_0_to_4_5_total")
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},
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{
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"label": "Hard Rock 4.5-6.0",
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"client": total(client_query.all(), "Hard_Rock_4_5_to_6_0_total"),
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"sub": total(sub_query.all(), "Hard_Rock_4_5_to_6_0_total")
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},
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{
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"label": "Hard Rock 6.0-7.5",
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"client": total(client_query.all(), "Hard_Rock_6_0_to_7_5_total"),
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"sub": total(sub_query.all(), "Hard_Rock_6_0_to_7_5_total")
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}
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]
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return jsonify({
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"labels": [x["label"] for x in chart_data],
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"client_qty": [x["client"] for x in chart_data],
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"sub_qty": [x["sub"] for x in chart_data]
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})
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