Files
Comparison_Project/app/routes/dashboard.py

2723 lines
70 KiB
Python

import matplotlib
matplotlib.use("Agg")
from flask import Blueprint, render_template, session, redirect, url_for, jsonify, request
import matplotlib.pyplot as plt
import io
import base64
from app.utils.plot_utils import plot_to_base64
from app.utils.helpers import login_required
from app.services.dashboard_service import DashboardService
from sqlalchemy import func
from app import db
from sqlalchemy import tuple_
# Subcontractor models import
from app.models.subcontractor_model import Subcontractor
from app.models.trench_excavation_model import TrenchExcavation
from app.models.manhole_excavation_model import ManholeExcavation
from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber
from app.models.laying_model import Laying
from app.models.subcontractor_rate_model import SubcontractorRate
# client models import
from app.models.tr_ex_client_model import TrenchExcavationClient
from app.models.mh_ex_client_model import ManholeExcavationClient
from app.models.mh_dc_client_model import ManholeDomesticChamberClient
from app.models.laying_client_model import LayingClient
from app.models.client_rate_model import ClientRate
# Services
from app.services.subcontractor_rate_service import SubcontractorRateService
from app.services.client_rate_service import ClientRateService
dashboard_bp = Blueprint("dashboard", __name__, url_prefix="/dashboard")
@dashboard_bp.route("/")
def dashboard():
if not session.get("user_id"):
return redirect(url_for("auth.login"))
return render_template("dashboard.html", title="Business Intelligence Dashboard")
@dashboard_bp.route("/api/live-stats")
@login_required
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
# subcontractor dashboard
@dashboard_bp.route("/subcontractor_dashboard")
@login_required
def subcontractor_dashboard():
if not session.get("user_id"):
return redirect(url_for("auth.login"))
subcontractors = Subcontractor.query.all()
return render_template(
"subcontractor_dashboard.html",
subcontractors=subcontractors
)
# API: Get Unique RA Bills
@dashboard_bp.route("/api/get-ra-bills")
@login_required
def get_ra_bills():
subcontractor_id = request.args.get("subcontractor")
category = request.args.get("category")
if not subcontractor_id or not category:
return {"ra_bills": []}
match category:
case "trench_excavation":
results = db.session.query(
TrenchExcavation.RA_Bill_No
).filter(
TrenchExcavation.subcontractor_id == subcontractor_id
).distinct().order_by(TrenchExcavation.RA_Bill_No).all()
# (Add others same pattern later)
case "manhole_excavation":
results = db.session.query(
ManholeExcavation.RA_Bill_No
).filter(
ManholeExcavation.subcontractor_id == subcontractor_id
).distinct().order_by(ManholeExcavation.RA_Bill_No).all()
case "Manhole_Domestic_Chamber":
results = db.session.query(
ManholeDomesticChamber.RA_Bill_No
).filter(
ManholeDomesticChamber.subcontractor_id == subcontractor_id
).distinct().order_by(ManholeDomesticChamber.RA_Bill_No).all()
case "Laying":
results = db.session.query(
Laying.RA_Bill_No
).filter(
Laying.subcontractor_id == subcontractor_id
).distinct().order_by(Laying.RA_Bill_No).all()
ra_bills = [r[0] for r in results if r[0]]
return {"ra_bills": ra_bills}
def total(records, field):
return float(sum(getattr(r, field) or 0 for r in records))
# category= trench_excavation
# @dashboard_bp.route("/api/tr-analysis")
# def trench_analysis():
# subcontractor_id = request.args.get("subcontractor", "").strip()
# ra_bill = request.args.get("ra_bill", "").strip()
# # Convert "1,2,3" -> ["1", "2", "3"]
# ra_bill_list = []
# if ra_bill:
# ra_bill_list = [x.strip() for x in ra_bill.split(",") if x.strip()]
# # Subcontractor Query
# sub_query = TrenchExcavation.query
# if subcontractor_id:
# sub_query = sub_query.filter(
# TrenchExcavation.subcontractor_id == int(subcontractor_id)
# )
# if ra_bill_list:
# sub_query = sub_query.filter(
# TrenchExcavation.RA_Bill_No.in_(ra_bill_list)
# )
# sub_records = sub_query.all()
# sub_keys = [
# (
# (r.MH_NO or "").strip().upper(),
# (r.Location or "").strip().upper()
# )
# for r in sub_records
# ]
# client_query = TrenchExcavationClient.query
# if sub_keys:
# client_query = client_query.filter(
# tuple_(
# func.upper(func.trim(TrenchExcavationClient.MH_NO)),
# func.upper(func.trim(TrenchExcavationClient.Location))
# ).in_(sub_keys)
# )
# client_records = client_query.all()
# chart_data = [
# {
# "label": "Marshi 0 to 1.5",
# "client": total(client_records, "Marshi_Muddy_Slushy_0_to_1_5_total"),
# "sub": 0
# },
# {
# "label": "Marshi 1.5 to 3.0",
# "client": total(client_records, "Marshi_Muddy_Slushy_1_5_to_3_0_total"),
# "sub": 0
# },
# {
# "label": "Marshi 3.0 to 4.5",
# "client": total(client_records, "Marshi_Muddy_Slushy_3_0_to_4_5_total"),
# "sub": 0
# },
# {
# "label": "Soft Murum 0 to 1.5",
# "client": total(client_records, "Soft_Murum_0_to_1_5_total"),
# "sub": total(sub_records, "Soft_Murum_0_to_1_5_total")
# },
# {
# "label": "Soft Murum 1.5 to 3.0",
# "client": total(client_records, "Soft_Murum_1_5_to_3_0_total"),
# "sub": total(sub_records, "Soft_Murum_1_5_to_3_0_total")
# },
# {
# "label": "Soft Murum 3.0 to 4.5",
# "client": total(client_records, "Soft_Murum_3_0_to_4_5_total"),
# "sub": total(sub_records, "Soft_Murum_3_0_to_4_5_total")
# },
# {
# "label": "Hard Murum 0 to 1.5",
# "client": total(client_records, "Hard_Murum_0_to_1_5_total"),
# "sub": total(sub_records, "Hard_Murum_0_to_1_5_total")
# },
# {
# "label": "Hard Murum 1.5 to 3.0",
# "client": total(client_records, "Hard_Murum_1_5_to_3_0_total"),
# "sub": total(sub_records, "Hard_Murum_1_5_and_above_total")
# },
# {
# "label": "Soft Rock 0 to 1.5",
# "client": total(client_records, "Soft_Rock_0_to_1_5_total"),
# "sub": total(sub_records, "Soft_Rock_0_to_1_5_total")
# },
# {
# "label": "Soft Rock 1.5 to 3.0",
# "client": total(client_records, "Soft_Rock_1_5_to_3_0_total"),
# "sub": total(sub_records, "Soft_Rock_1_5_and_above_total")
# },
# {
# "label": "Hard Rock 0 to 1.5",
# "client": total(client_records, "Hard_Rock_0_to_1_5_total"),
# "sub": total(sub_records, "Hard_Rock_0_to_1_5_total")
# },
# {
# "label": "Hard Rock 1.5 to 3.0",
# "client": total(client_records, "Hard_Rock_1_5_to_3_0_total"),
# "sub": total(sub_records, "Hard_Rock_1_5_to_3_0_total")
# },
# {
# "label": "Hard Rock 3.0 to 4.5",
# "client": total(client_records, "Hard_Rock_3_0_to_4_5_total"),
# "sub": total(sub_records, "Hard_Rock_3_0_to_4_5_total")
# },
# {
# "label": "Hard Rock 4.5 to 6.0",
# "client": total(client_records, "Hard_Rock_4_5_to_6_0_total"),
# "sub": total(sub_records, "Hard_Rock_4_5_to_6_0_total")
# },
# {
# "label": "Hard Rock 6.0 to 7.5",
# "client": total(client_records, "Hard_Rock_6_0_to_7_5_total"),
# "sub": total(sub_records, "Hard_Rock_6_0_to_7_5_total")
# }
# ]
# return jsonify({
# "title": "Trench Excavation Comparison",
# "y_title": "Excavation Qty (Cum)",
# "labels": [x["label"] for x in chart_data],
# "client_qty": [x["client"] for x in chart_data],
# "sub_qty": [x["sub"] for x in chart_data]
# })
# # category = manhole_excavation
# @dashboard_bp.route("/api/mh-analysis")
# def manhole_analysis():
# subcontractor_id = request.args.get("subcontractor", "").strip()
# ra_bill = request.args.get("ra_bill", "").strip()
# # Convert "1,2,3" -> ["1", "2", "3"]
# ra_bill_list = []
# if ra_bill:
# ra_bill_list = [x.strip() for x in ra_bill.split(",") if x.strip()]
# # Subcontractor Query
# sub_query = ManholeExcavation.query
# if subcontractor_id:
# sub_query = sub_query.filter(
# ManholeExcavation.subcontractor_id == int(subcontractor_id)
# )
# if ra_bill_list:
# sub_query = sub_query.filter(
# ManholeExcavation.RA_Bill_No.in_(ra_bill_list)
# )
# sub_records = sub_query.all()
# sub_keys = [
# (
# (r.MH_NO or "").strip().upper(),
# (r.Location or "").strip().upper()
# )
# for r in sub_records
# ]
# client_query = ManholeExcavationClient.query
# if sub_keys:
# client_query = client_query.filter(
# tuple_(
# func.upper(func.trim(ManholeExcavationClient.MH_NO)),
# func.upper(func.trim(ManholeExcavationClient.Location))
# ).in_(sub_keys)
# )
# client_records = client_query.all()
# chart_data = [
# {
# "label": "Marshi 0 to 1.5",
# "client": total(client_records, "Marshi_Muddy_Slushy_0_to_1_5_total"),
# "sub": 0
# },
# {
# "label": "Marshi 1.5 to 3.0",
# "client": total(client_records, "Marshi_Muddy_Slushy_1_5_to_3_0_total"),
# "sub": 0
# },
# {
# "label": "Marshi 3.0 to 4.5",
# "client": total(client_records, "Marshi_Muddy_Slushy_3_0_to_4_5_total"),
# "sub": 0
# },
# {
# "label": "Soft Murum 0 to 1.5",
# "client": total(client_records, "Soft_Murum_0_to_1_5_total"),
# "sub": total(sub_records, "Soft_Murum_0_to_1_5_total")
# },
# {
# "label": "Soft Murum 1.5 to 3.0",
# "client": total(client_records, "Soft_Murum_1_5_to_3_0_total"),
# "sub": total(sub_records, "Soft_Murum_1_5_to_3_0_total")
# },
# {
# "label": "Soft Murum 3.0 to 4.5",
# "client": total(client_records, "Soft_Murum_3_0_to_4_5_total"),
# "sub": total(sub_records, "Soft_Murum_3_0_to_4_5_total")
# },
# {
# "label": "Hard Murum 0 to 1.5",
# "client": total(client_records, "Hard_Murum_0_to_1_5_total"),
# "sub": total(sub_records, "Hard_Murum_0_to_1_5_total")
# },
# {
# "label": "Hard Murum 1.5 to 3.0",
# "client": total(client_records, "Hard_Murum_1_5_to_3_0_total"),
# "sub": total(sub_records, "Hard_Murum_1_5_and_above_total")
# },
# {
# "label": "Soft Rock 0 to 1.5",
# "client": total(client_records, "Soft_Rock_0_to_1_5_total"),
# "sub": total(sub_records, "Soft_Rock_0_to_1_5_total")
# },
# {
# "label": "Soft Rock 1.5 to 3.0",
# "client": total(client_records, "Soft_Rock_1_5_to_3_0_total"),
# "sub": total(sub_records, "Soft_Rock_1_5_and_above_total")
# },
# {
# "label": "Hard Rock 0 to 1.5",
# "client": total(client_records, "Hard_Rock_0_to_1_5_total"),
# "sub": total(sub_records, "Hard_Rock_0_to_1_5_total")
# },
# {
# "label": "Hard Rock 1.5 to 3.0",
# "client": total(client_records, "Hard_Rock_1_5_to_3_0_total"),
# "sub": total(sub_records, "Hard_Rock_1_5_to_3_0_total")
# },
# {
# "label": "Hard Rock 3.0 to 4.5",
# "client": total(client_records, "Hard_Rock_3_0_to_4_5_total"),
# "sub": total(sub_records, "Hard_Rock_3_0_to_4_5_total")
# },
# {
# "label": "Hard Rock 4.5 to 6.0",
# "client": total(client_records, "Hard_Rock_4_5_to_6_0_total"),
# "sub": total(sub_records, "Hard_Rock_4_5_to_6_0_total")
# },
# {
# "label": "Hard Rock 6.0 to 7.5",
# "client": total(client_records, "Hard_Rock_6_0_to_7_5_total"),
# "sub": total(sub_records, "Hard_Rock_6_0_to_7_5_total")
# }
# ]
# return jsonify({
# "title": "Manhole Excavation Comparison",
# "y_title": "Manhole Qty (Nos)",
# "labels": [x["label"] for x in chart_data],
# "client_qty": [x["client"] for x in chart_data],
# "sub_qty": [x["sub"] for x in chart_data]
# })
# category = Manhole_Domestic_Chamber
# @dashboard_bp.route("/api/mdc-analysis")
# def Manhole_Domestic_Chamber_analysis():
# subcontractor_id = request.args.get("subcontractor", "").strip()
# ra_bill = request.args.get("ra_bill", "").strip()
# # Convert "1,2,3" -> ["1", "2", "3"]
# ra_bill_list = []
# if ra_bill:
# ra_bill_list = [x.strip() for x in ra_bill.split(",") if x.strip()]
# # Subcontractor Query
# sub_query = ManholeDomesticChamber.query
# if subcontractor_id:
# sub_query = sub_query.filter(
# ManholeDomesticChamber.subcontractor_id == int(subcontractor_id)
# )
# if ra_bill_list:
# sub_query = sub_query.filter(
# ManholeDomesticChamber.RA_Bill_No.in_(ra_bill_list)
# )
# sub_records = sub_query.all()
# sub_keys = [
# (
# (r.MH_NO or "").strip().upper(),
# (r.Location or "").strip().upper()
# )
# for r in sub_records
# ]
# client_query = ManholeDomesticChamberClient.query
# if sub_keys:
# client_query = client_query.filter(
# tuple_(
# func.upper(func.trim(ManholeDomesticChamberClient.MH_NO)),
# func.upper(func.trim(ManholeDomesticChamberClient.Location))
# ).in_(sub_keys)
# )
# client_records = client_query.all()
# chart_data = [
# {
# "label": "Depth of MH",
# "client": total(client_records, "Depth_of_MH"),
# "sub": total(sub_records, "Depth_of_MH")
# },
# {
# "label": "Domestic_Chambers Total",
# "client": total(client_records, "Total"),
# "sub": total(sub_records, "Total")
# }
# ]
# return jsonify({
# "title": "Domestic Chamber Comparison",
# "y_title": "Quantity (Nos)",
# "labels": [x["label"] for x in chart_data],
# "client_qty": [x["client"] for x in chart_data],
# "sub_qty": [x["sub"] for x in chart_data]
# })
# # category = Laying
# @dashboard_bp.route("/api/laying-analysis")
# def laying_analysis():
# subcontractor_id = request.args.get("subcontractor", "").strip()
# ra_bill = request.args.get("ra_bill", "").strip()
# # Convert "1,2,3" -> ["1", "2", "3"]
# ra_bill_list = []
# if ra_bill:
# ra_bill_list = [x.strip() for x in ra_bill.split(",") if x.strip()]
# # Subcontractor Query
# sub_query = Laying.query
# if subcontractor_id:
# sub_query = sub_query.filter(
# Laying.subcontractor_id == int(subcontractor_id)
# )
# if ra_bill_list:
# sub_query = sub_query.filter(
# Laying.RA_Bill_No.in_(ra_bill_list)
# )
# sub_records = sub_query.all()
# sub_keys = [
# (
# (r.MH_NO or "").strip().upper(),
# (r.Location or "").strip().upper()
# )
# for r in sub_records
# ]
# client_query = LayingClient.query
# if sub_keys:
# client_query = client_query.filter(
# tuple_(
# func.upper(func.trim(LayingClient.MH_NO)),
# func.upper(func.trim(LayingClient.Location))
# ).in_(sub_keys)
# )
# client_records = client_query.all()
# chart_data = [
# {
# "label": "150 mm",
# "client": total(client_records, "pipe_150_mm"),
# "sub": total(sub_records, "pipe_150_mm")
# },
# {
# "label": "200 mm",
# "client": total(client_records, "pipe_200_mm"),
# "sub": total(sub_records, "pipe_200_mm")
# },
# {
# "label": "250 mm",
# "client": total(client_records, "pipe_250_mm"),
# "sub": total(sub_records, "pipe_250_mm")
# },
# {
# "label": "300 mm",
# "client": total(client_records, "pipe_300_mm"),
# "sub": total(sub_records, "pipe_300_mm")
# },
# {
# "label": "350 mm",
# "client": total(client_records, "pipe_350_mm"),
# "sub": total(sub_records, "pipe_350_mm")
# },
# {
# "label": "400 mm",
# "client": total(client_records, "pipe_400_mm"),
# "sub": total(sub_records, "pipe_400_mm")
# },
# {
# "label": "450 mm",
# "client": total(client_records, "pipe_450_mm"),
# "sub": total(sub_records, "pipe_450_mm")
# },
# {
# "label": "500 mm",
# "client": total(client_records, "pipe_500_mm"),
# "sub": total(sub_records, "pipe_500_mm")
# },
# {
# "label": "600 mm",
# "client": total(client_records, "pipe_600_mm"),
# "sub": total(sub_records, "pipe_600_mm")
# },
# {
# "label": "700 mm",
# "client": total(client_records, "pipe_700_mm"),
# "sub": total(sub_records, "pipe_700_mm")
# },
# {
# "label": "900 mm",
# "client": total(client_records, "pipe_900_mm"),
# "sub": total(sub_records, "pipe_900_mm")
# },
# {
# "label": "1200 mm",
# "client": total(client_records, "pipe_1200_mm"),
# "sub": total(sub_records, "pipe_1200_mm")
# }
# ]
# return jsonify({
# "title": "Pipe Laying Comparison",
# "y_title": "Pipe Length (Mtr)",
# "labels": [x["label"] for x in chart_data],
# "client_qty": [x["client"] for x in chart_data],
# "sub_qty": [x["sub"] for x in chart_data]
# })
@dashboard_bp.route("/api/tr-analysis")
def trench_analysis():
# =========================================================
# CONSTANT
# =========================================================
CATEGORY = "trench_excavation"
# =========================================================
# REQUEST PARAMETERS
# =========================================================
subcontractor_id = request.args.get(
"subcontractor",
""
).strip()
ra_bill = request.args.get(
"ra_bill",
""
).strip()
# =========================================================
# VALIDATE SUBCONTRACTOR
# =========================================================
subcontractor_id_int = None
if subcontractor_id:
try:
subcontractor_id_int = int(subcontractor_id)
except ValueError:
return jsonify({
"success": False,
"message": "Invalid subcontractor."
}), 400
# =========================================================
# RA BILL LIST
# =========================================================
ra_bill_list = []
if ra_bill:
ra_bill_list = [
bill.strip()
for bill in ra_bill.split(",")
if bill.strip()
]
# =========================================================
# SUBCONTRACTOR QUERY
# =========================================================
sub_query = TrenchExcavation.query
if subcontractor_id_int:
sub_query = sub_query.filter(
TrenchExcavation.subcontractor_id
== subcontractor_id_int
)
if ra_bill_list:
sub_query = sub_query.filter(
TrenchExcavation.RA_Bill_No.in_(ra_bill_list)
)
sub_records = sub_query.all()
# =========================================================
# SUBCONTRACTOR KEYS
# =========================================================
sub_keys = [
(
(record.MH_NO or "").strip().upper(),
(record.Location or "").strip().upper()
)
for record in sub_records
]
# =========================================================
# CLIENT QUERY
# =========================================================
client_query = TrenchExcavationClient.query
if sub_keys:
client_query = client_query.filter(
tuple_(
func.upper(
func.trim(
TrenchExcavationClient.MH_NO
)
),
func.upper(
func.trim(
TrenchExcavationClient.Location
)
)
).in_(sub_keys)
)
client_records = client_query.all()
# =========================================================
# GET CLIENT RATES
#
# Matching:
# category = trench_excavation
# item_name = actual model field name
# =========================================================
client_rates = (
ClientRate.query
.filter(
func.lower(
func.trim(ClientRate.category)
) == CATEGORY.lower(),
func.lower(
func.trim(ClientRate.status)
) == "active"
)
.all()
)
# =========================================================
# GET SUBCONTRACTOR RATES
#
# Matching:
# subcontractor_id
# category = trench_excavation
# item_name = actual model field name
# =========================================================
sub_rates = []
if subcontractor_id_int:
sub_rates = (
SubcontractorRate.query
.filter(
SubcontractorRate.subcontractor_id
== subcontractor_id_int,
func.lower(
func.trim(
SubcontractorRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
SubcontractorRate.status
)
) == "active"
)
.all()
)
# =========================================================
# RATE MAP
#
# Example:
#
# Hard_Rock_6_0_to_7_5_total : 600
# Hard_Rock_4_5_to_6_0_total : 600
# =========================================================
client_rate_map = {
(rate.item_name or "").strip().lower():
float(rate.rate or 0)
for rate in client_rates
}
sub_rate_map = {
(rate.item_name or "").strip().lower():
float(rate.rate or 0)
for rate in sub_rates
}
# =========================================================
# TOTAL HELPER
# =========================================================
def total(records, field):
value = 0
for record in records:
field_value = getattr(
record,
field,
0
)
if field_value is not None:
value += float(field_value)
return round(value, 2)
# =========================================================
# TRECH MAPPING
#
# label = Dashboard display name
# field = Client/Subcontractor model field
# item_name = Rate Master item_name
#
# item_name intentionally uses the actual model field name.
# =========================================================
TRENCH_MAPPING = [
{
"label": "Marshi 0 to 1.5",
"field": "Marshi_Muddy_Slushy_0_to_1_5_total",
"item_name": "Marshi_Muddy_Slushy_0_to_1_5_total"
},
{
"label": "Marshi 1.5 to 3.0",
"field": "Marshi_Muddy_Slushy_1_5_to_3_0_total",
"item_name": "Marshi_Muddy_Slushy_1_5_to_3_0_total"
},
{
"label": "Marshi 3.0 to 4.5",
"field": "Marshi_Muddy_Slushy_3_0_to_4_5_total",
"item_name": "Marshi_Muddy_Slushy_3_0_to_4_5_total"
},
{
"label": "Soft Murum 0 to 1.5",
"field": "Soft_Murum_0_to_1_5_total",
"item_name": "Soft_Murum_0_to_1_5_total"
},
{
"label": "Soft Murum 1.5 to 3.0",
"field": "Soft_Murum_1_5_to_3_0_total",
"item_name": "Soft_Murum_1_5_to_3_0_total"
},
{
"label": "Soft Murum 3.0 to 4.5",
"field": "Soft_Murum_3_0_to_4_5_total",
"item_name": "Soft_Murum_3_0_to_4_5_total"
},
{
"label": "Hard Murum 0 to 1.5",
"field": "Hard_Murum_0_to_1_5_total",
"item_name": "Hard_Murum_0_to_1_5_total"
},
{
"label": "Hard Murum 1.5 to 3.0",
"field": "Hard_Murum_1_5_to_3_0_total",
"item_name": "Hard_Murum_1_5_to_3_0_total"
},
{
"label": "Soft Rock 0 to 1.5",
"field": "Soft_Rock_0_to_1_5_total",
"item_name": "Soft_Rock_0_to_1_5_total"
},
{
"label": "Soft Rock 1.5 to 3.0",
"field": "Soft_Rock_1_5_to_3_0_total",
"item_name": "Soft_Rock_1_5_to_3_0_total"
},
{
"label": "Hard Rock 0 to 1.5",
"field": "Hard_Rock_0_to_1_5_total",
"item_name": "Hard_Rock_0_to_1_5_total"
},
{
"label": "Hard Rock 1.5 to 3.0",
"field": "Hard_Rock_1_5_to_3_0_total",
"item_name": "Hard_Rock_1_5_to_3_0_total"
},
{
"label": "Hard Rock 3.0 to 4.5",
"field": "Hard_Rock_3_0_to_4_5_total",
"item_name": "Hard_Rock_3_0_to_4_5_total"
},
{
"label": "Hard Rock 4.5 to 6.0",
"field": "Hard_Rock_4_5_to_6_0_total",
"item_name": "Hard_Rock_4_5_to_6_0_total"
},
{
"label": "Hard Rock 6.0 to 7.5",
"field": "Hard_Rock_6_0_to_7_5_total",
"item_name": "Hard_Rock_6_0_to_7_5_total"
}
]
# =========================================================
# BUILD CHART DATA
# =========================================================
chart_data = []
for mapping in TRENCH_MAPPING:
field = mapping["field"]
client_qty = total(
client_records,
field
)
# -----------------------------------------------------
# SUBCONTRACTOR QUANTITY
# -----------------------------------------------------
sub_qty = 0
if sub_records:
sub_qty = total(
sub_records,
field
)
# -----------------------------------------------------
# RATE ITEM NAME
# -----------------------------------------------------
item_name = mapping["item_name"]
rate_key = item_name.strip().lower()
# -----------------------------------------------------
# CLIENT RATE
# -----------------------------------------------------
client_rate = client_rate_map.get(
rate_key,
0
)
# -----------------------------------------------------
# SUBCONTRACTOR RATE
# -----------------------------------------------------
sub_rate = sub_rate_map.get(
rate_key,
0
)
# -----------------------------------------------------
# AMOUNT
# -----------------------------------------------------
client_amount = (
client_qty * client_rate
)
sub_amount = (
sub_qty * sub_rate
)
# -----------------------------------------------------
# DIFFERENCES
# -----------------------------------------------------
qty_difference = (
client_qty - sub_qty
)
rate_difference = (
client_rate - sub_rate
)
amount_difference = (
client_amount - sub_amount
)
# -----------------------------------------------------
# FINAL ROW
# -----------------------------------------------------
chart_data.append({
"label": mapping["label"],
# Actual model field
"field": field,
# Rate Master item_name
"item_name": item_name,
# Quantity
"client": round(
client_qty,
2
),
"sub": round(
sub_qty,
2
),
# Rate
"client_rate": round(
client_rate,
2
),
"sub_rate": round(
sub_rate,
2
),
# Amount
"client_amount": round(
client_amount,
2
),
"sub_amount": round(
sub_amount,
2
),
# Difference
"qty_difference": round(
qty_difference,
2
),
"rate_difference": round(
rate_difference,
2
),
"amount_difference": round(
amount_difference,
2
)
})
# =========================================================
# RESPONSE
# =========================================================
return jsonify({
"success": True,
"title": "Trench Excavation Comparison",
"y_title": "Excavation Qty (Cum)",
# -----------------------------------------------------
# CHART
# -----------------------------------------------------
"labels": [
item["label"]
for item in chart_data
],
"client_qty": [
item["client"]
for item in chart_data
],
"sub_qty": [
item["sub"]
for item in chart_data
],
# -----------------------------------------------------
# RATE
# -----------------------------------------------------
"client_rate": [
item["client_rate"]
for item in chart_data
],
"sub_rate": [
item["sub_rate"]
for item in chart_data
],
# -----------------------------------------------------
# AMOUNT
# -----------------------------------------------------
"client_amount": [
item["client_amount"]
for item in chart_data
],
"sub_amount": [
item["sub_amount"]
for item in chart_data
],
# -----------------------------------------------------
# DIFFERENCE
# -----------------------------------------------------
"qty_difference": [
item["qty_difference"]
for item in chart_data
],
"rate_difference": [
item["rate_difference"]
for item in chart_data
],
"amount_difference": [
item["amount_difference"]
for item in chart_data
],
# -----------------------------------------------------
# COMPLETE ROW DATA
# Useful for table/export
# -----------------------------------------------------
"rows": chart_data
})
@dashboard_bp.route("/api/mh-analysis")
def manhole_analysis():
# =========================================================
# CATEGORY
# =========================================================
CATEGORY = "manhole_excavation"
# =========================================================
# REQUEST PARAMETERS
# =========================================================
subcontractor_id = request.args.get(
"subcontractor",
""
).strip()
ra_bill = request.args.get(
"ra_bill",
""
).strip()
# =========================================================
# VALIDATE SUBCONTRACTOR
# =========================================================
subcontractor_id_int = None
if subcontractor_id:
try:
subcontractor_id_int = int(
subcontractor_id
)
except ValueError:
return jsonify({
"success": False,
"message": "Invalid subcontractor."
}), 400
# =========================================================
# RA BILL LIST
# =========================================================
ra_bill_list = []
if ra_bill:
ra_bill_list = [
bill.strip()
for bill in ra_bill.split(",")
if bill.strip()
]
# =========================================================
# SUBCONTRACTOR QUERY
# =========================================================
sub_query = ManholeExcavation.query
if subcontractor_id_int:
sub_query = sub_query.filter(
ManholeExcavation.subcontractor_id
== subcontractor_id_int
)
if ra_bill_list:
sub_query = sub_query.filter(
ManholeExcavation.RA_Bill_No.in_(
ra_bill_list
)
)
sub_records = sub_query.all()
# =========================================================
# SUBCONTRACTOR KEYS
# MH_NO + LOCATION
# =========================================================
sub_keys = [
(
(record.MH_NO or "").strip().upper(),
(record.Location or "").strip().upper()
)
for record in sub_records
]
# =========================================================
# CLIENT QUERY
# =========================================================
client_query = ManholeExcavationClient.query
if sub_keys:
client_query = client_query.filter(
tuple_(
func.upper(
func.trim(
ManholeExcavationClient.MH_NO
)
),
func.upper(
func.trim(
ManholeExcavationClient.Location
)
)
).in_(sub_keys)
)
client_records = client_query.all()
# =========================================================
# GET CLIENT RATES
#
# Category:
# manhole_excavation
#
# item_name:
# actual model field name
# =========================================================
client_rates = (
ClientRate.query
.filter(
func.lower(
func.trim(
ClientRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
ClientRate.status
)
) == "active"
)
.all()
)
# =========================================================
# GET SUBCONTRACTOR RATES
#
# Selected Subcontractor
# +
# Category
# +
# Active
# =========================================================
sub_rates = []
if subcontractor_id_int:
sub_rates = (
SubcontractorRate.query
.filter(
SubcontractorRate.subcontractor_id
== subcontractor_id_int,
func.lower(
func.trim(
SubcontractorRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
SubcontractorRate.status
)
) == "active"
)
.all()
)
# =========================================================
# RATE MAP
#
# Example:
#
# hard_rock_0_to_1_5_total : 450
# hard_rock_1_5_to_3_0_total : 500
# =========================================================
client_rate_map = {
(rate.item_name or "")
.strip()
.lower():
float(rate.rate or 0)
for rate in client_rates
}
sub_rate_map = {
(rate.item_name or "")
.strip()
.lower():
float(rate.rate or 0)
for rate in sub_rates
}
# =========================================================
# TOTAL HELPER
# =========================================================
def total(records, field):
value = 0
for record in records:
field_value = getattr(
record,
field,
0
)
if field_value is not None:
value += float(
field_value
)
return round(value, 2)
# =========================================================
# MANHOLE MAPPING
#
# label:
# Dashboard display name
#
# field:
# Actual model field
#
# item_name:
# Rate Master item_name
#
# IMPORTANT:
# item_name must be the actual model field name.
# =========================================================
MANHOLE_MAPPING = [
{
"label": "Marshi 0 to 1.5",
"field":
"Marshi_Muddy_Slushy_0_to_1_5_total",
"item_name":
"Marshi_Muddy_Slushy_0_to_1_5_total"
},
{
"label": "Marshi 1.5 to 3.0",
"field":
"Marshi_Muddy_Slushy_1_5_to_3_0_total",
"item_name":
"Marshi_Muddy_Slushy_1_5_to_3_0_total"
},
{
"label": "Marshi 3.0 to 4.5",
"field":
"Marshi_Muddy_Slushy_3_0_to_4_5_total",
"item_name":
"Marshi_Muddy_Slushy_3_0_to_4_5_total"
},
{
"label": "Soft Murum 0 to 1.5",
"field":
"Soft_Murum_0_to_1_5_total",
"item_name":
"Soft_Murum_0_to_1_5_total"
},
{
"label": "Soft Murum 1.5 to 3.0",
"field":
"Soft_Murum_1_5_to_3_0_total",
"item_name":
"Soft_Murum_1_5_to_3_0_total"
},
{
"label": "Soft Murum 3.0 to 4.5",
"field":
"Soft_Murum_3_0_to_4_5_total",
"item_name":
"Soft_Murum_3_0_to_4_5_total"
},
{
"label": "Hard Murum 0 to 1.5",
"field":
"Hard_Murum_0_to_1_5_total",
"item_name":
"Hard_Murum_0_to_1_5_total"
},
{
"label": "Hard Murum 1.5 to 3.0",
"field":
"Hard_Murum_1_5_to_3_0_total",
"item_name":
"Hard_Murum_1_5_to_3_0_total"
},
{
"label": "Soft Rock 0 to 1.5",
"field":
"Soft_Rock_0_to_1_5_total",
"item_name":
"Soft_Rock_0_to_1_5_total"
},
{
"label": "Soft Rock 1.5 to 3.0",
"field":
"Soft_Rock_1_5_to_3_0_total",
"item_name":
"Soft_Rock_1_5_to_3_0_total"
},
{
"label": "Hard Rock 0 to 1.5",
"field":
"Hard_Rock_0_to_1_5_total",
"item_name":
"Hard_Rock_0_to_1_5_total"
},
{
"label": "Hard Rock 1.5 to 3.0",
"field":
"Hard_Rock_1_5_to_3_0_total",
"item_name":
"Hard_Rock_1_5_to_3_0_total"
},
{
"label": "Hard Rock 3.0 to 4.5",
"field":
"Hard_Rock_3_0_to_4_5_total",
"item_name":
"Hard_Rock_3_0_to_4_5_total"
},
{
"label": "Hard Rock 4.5 to 6.0",
"field":
"Hard_Rock_4_5_to_6_0_total",
"item_name":
"Hard_Rock_4_5_to_6_0_total"
},
{
"label": "Hard Rock 6.0 to 7.5",
"field":
"Hard_Rock_6_0_to_7_5_total",
"item_name":
"Hard_Rock_6_0_to_7_5_total"
}
]
# =========================================================
# BUILD CHART DATA
# =========================================================
chart_data = []
for mapping in MANHOLE_MAPPING:
field = mapping["field"]
# =====================================================
# CLIENT QUANTITY
# =====================================================
client_qty = total(
client_records,
field
)
# =====================================================
# SUBCONTRACTOR QUANTITY
# =====================================================
sub_qty = 0
if sub_records:
sub_qty = total(
sub_records,
field
)
# =====================================================
# RATE MASTER ITEM NAME
# =====================================================
item_name = mapping[
"item_name"
]
rate_key = (
item_name
.strip()
.lower()
)
# =====================================================
# CLIENT RATE
# =====================================================
client_rate = client_rate_map.get(
rate_key,
0
)
# =====================================================
# SUBCONTRACTOR RATE
# =====================================================
sub_rate = sub_rate_map.get(
rate_key,
0
)
# =====================================================
# AMOUNT
# =====================================================
client_amount = (
client_qty
* client_rate
)
sub_amount = (
sub_qty
* sub_rate
)
# =====================================================
# DIFFERENCE
# =====================================================
qty_difference = (
client_qty
- sub_qty
)
rate_difference = (
client_rate
- sub_rate
)
amount_difference = (
client_amount
- sub_amount
)
# =====================================================
# FINAL ROW
# =====================================================
chart_data.append({
# Display
"label":
mapping["label"],
# Actual model field
"field":
field,
# Rate Master item_name
"item_name":
item_name,
# Quantity
"client":
round(client_qty, 2),
"sub":
round(sub_qty, 2),
# Rate
"client_rate":
round(client_rate, 2),
"sub_rate":
round(sub_rate, 2),
# Amount
"client_amount":
round(client_amount, 2),
"sub_amount":
round(sub_amount, 2),
# Difference
"qty_difference":
round(qty_difference, 2),
"rate_difference":
round(rate_difference, 2),
"amount_difference":
round(amount_difference, 2)
})
# =========================================================
# RESPONSE
# =========================================================
return jsonify({
"success": True,
"title":
"Manhole Excavation Comparison",
"y_title":
"Manhole Qty (Nos)",
# =====================================================
# CHART DATA
# =====================================================
"labels": [
item["label"]
for item in chart_data
],
"client_qty": [
item["client"]
for item in chart_data
],
"sub_qty": [
item["sub"]
for item in chart_data
],
# =====================================================
# RATE DATA
# =====================================================
"client_rate": [
item["client_rate"]
for item in chart_data
],
"sub_rate": [
item["sub_rate"]
for item in chart_data
],
# =====================================================
# AMOUNT DATA
# =====================================================
"client_amount": [
item["client_amount"]
for item in chart_data
],
"sub_amount": [
item["sub_amount"]
for item in chart_data
],
# =====================================================
# DIFFERENCE DATA
# =====================================================
"qty_difference": [
item["qty_difference"]
for item in chart_data
],
"rate_difference": [
item["rate_difference"]
for item in chart_data
],
"amount_difference": [
item["amount_difference"]
for item in chart_data
],
# =====================================================
# COMPLETE TABLE ROWS
# =====================================================
"rows": chart_data
})
@dashboard_bp.route("/api/mdc-analysis")
def Manhole_Domestic_Chamber_analysis():
# =========================================================
# CATEGORY
# =========================================================
CATEGORY = "Manhole_Domestic_Chamber"
# =========================================================
# REQUEST PARAMETERS
# =========================================================
subcontractor_id = request.args.get(
"subcontractor",
""
).strip()
ra_bill = request.args.get(
"ra_bill",
""
).strip()
# =========================================================
# VALIDATE SUBCONTRACTOR
# =========================================================
subcontractor_id_int = None
if subcontractor_id:
try:
subcontractor_id_int = int(
subcontractor_id
)
except ValueError:
return jsonify({
"success": False,
"message": "Invalid subcontractor."
}), 400
# =========================================================
# RA BILL LIST
# =========================================================
ra_bill_list = []
if ra_bill:
ra_bill_list = [
x.strip()
for x in ra_bill.split(",")
if x.strip()
]
# =========================================================
# SUBCONTRACTOR QUERY
# =========================================================
sub_query = ManholeDomesticChamber.query
if subcontractor_id_int:
sub_query = sub_query.filter(
ManholeDomesticChamber.subcontractor_id
== subcontractor_id_int
)
if ra_bill_list:
sub_query = sub_query.filter(
ManholeDomesticChamber.RA_Bill_No.in_(
ra_bill_list
)
)
sub_records = sub_query.all()
# =========================================================
# MATCHING KEYS
# MH_NO + LOCATION
# =========================================================
sub_keys = [
(
(r.MH_NO or "").strip().upper(),
(r.Location or "").strip().upper()
)
for r in sub_records
]
# =========================================================
# CLIENT QUERY
# =========================================================
client_query = ManholeDomesticChamberClient.query
if sub_keys:
client_query = client_query.filter(
tuple_(
func.upper(
func.trim(
ManholeDomesticChamberClient.MH_NO
)
),
func.upper(
func.trim(
ManholeDomesticChamberClient.Location
)
)
).in_(sub_keys)
)
client_records = client_query.all()
# =========================================================
# GET CLIENT RATES
#
# Category:
# Manhole_Domestic_Chamber
# =========================================================
client_rates = (
ClientRate.query
.filter(
func.lower(
func.trim(
ClientRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
ClientRate.status
)
) == "active"
)
.all()
)
# =========================================================
# GET SUBCONTRACTOR RATES
#
# Selected subcontractor
# +
# Category
# +
# Active
# =========================================================
sub_rates = []
if subcontractor_id_int:
sub_rates = (
SubcontractorRate.query
.filter(
SubcontractorRate.subcontractor_id
== subcontractor_id_int,
func.lower(
func.trim(
SubcontractorRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
SubcontractorRate.status
)
) == "active"
)
.all()
)
# =========================================================
# CLIENT RATE MAP
# =========================================================
client_rate_map = {
(rate.item_name or "")
.strip()
.lower():
float(rate.rate or 0)
for rate in client_rates
}
# =========================================================
# SUBCONTRACTOR RATE MAP
# =========================================================
sub_rate_map = {
(rate.item_name or "")
.strip()
.lower():
float(rate.rate or 0)
for rate in sub_rates
}
# =========================================================
# TOTAL HELPER
# =========================================================
def total(records, field):
value = 0
for record in records:
field_value = getattr(
record,
field,
0
)
if field_value is not None:
value += float(
field_value
)
return round(value, 2)
# =========================================================
# MDC MAPPING
#
# label = Dashboard display name
# field = Actual model field
# item_name = Rate Master item_name
# =========================================================
MDC_MAPPING = [
{
"label": "Depth of MH",
"field":
"Depth_of_MH",
"item_name":
"Depth_of_MH"
},
{
"label": "Domestic Chambers Total",
"field":
"Total",
"item_name":
"Total"
}
]
# =========================================================
# BUILD DATA
# =========================================================
chart_data = []
for item in MDC_MAPPING:
field = item["field"]
item_name = item["item_name"]
# =====================================================
# QUANTITY
# =====================================================
client_qty = total(
client_records,
field
)
sub_qty = total(
sub_records,
field
)
# =====================================================
# RATE KEY
# =====================================================
rate_key = (
item_name
.strip()
.lower()
)
# =====================================================
# CLIENT RATE
# =====================================================
client_rate = client_rate_map.get(
rate_key,
0
)
# =====================================================
# SUBCONTRACTOR RATE
# =====================================================
sub_rate = sub_rate_map.get(
rate_key,
0
)
# =====================================================
# AMOUNT
# =====================================================
client_amount = (
client_qty
* client_rate
)
sub_amount = (
sub_qty
* sub_rate
)
# =====================================================
# DIFFERENCES
# =====================================================
qty_difference = (
client_qty
- sub_qty
)
rate_difference = (
client_rate
- sub_rate
)
amount_difference = (
client_amount
- sub_amount
)
# =====================================================
# FINAL ROW
# =====================================================
chart_data.append({
"label":
item["label"],
"field":
field,
"item_name":
item_name,
# Quantity
"client":
round(client_qty, 2),
"sub":
round(sub_qty, 2),
# Rate
"client_rate":
round(client_rate, 2),
"sub_rate":
round(sub_rate, 2),
# Amount
"client_amount":
round(client_amount, 2),
"sub_amount":
round(sub_amount, 2),
# Difference
"qty_difference":
round(qty_difference, 2),
"rate_difference":
round(rate_difference, 2),
"amount_difference":
round(amount_difference, 2)
})
# =========================================================
# RESPONSE
# =========================================================
return jsonify({
"success": True,
"title":
"Domestic Chamber Comparison",
"y_title":
"Quantity (Nos)",
# =====================================================
# CHART
# =====================================================
"labels": [
x["label"]
for x in chart_data
],
"client_qty": [
x["client"]
for x in chart_data
],
"sub_qty": [
x["sub"]
for x in chart_data
],
# =====================================================
# RATE
# =====================================================
"client_rate": [
x["client_rate"]
for x in chart_data
],
"sub_rate": [
x["sub_rate"]
for x in chart_data
],
# =====================================================
# AMOUNT
# =====================================================
"client_amount": [
x["client_amount"]
for x in chart_data
],
"sub_amount": [
x["sub_amount"]
for x in chart_data
],
# =====================================================
# DIFFERENCE
# =====================================================
"qty_difference": [
x["qty_difference"]
for x in chart_data
],
"rate_difference": [
x["rate_difference"]
for x in chart_data
],
"amount_difference": [
x["amount_difference"]
for x in chart_data
],
# Complete table data
"rows": chart_data
})
@dashboard_bp.route("/api/laying-analysis")
def laying_analysis():
# =========================================================
# CATEGORY
# =========================================================
CATEGORY = "Laying"
# =========================================================
# REQUEST PARAMETERS
# =========================================================
subcontractor_id = request.args.get(
"subcontractor",
""
).strip()
ra_bill = request.args.get(
"ra_bill",
""
).strip()
# =========================================================
# VALIDATE SUBCONTRACTOR
# =========================================================
subcontractor_id_int = None
if subcontractor_id:
try:
subcontractor_id_int = int(
subcontractor_id
)
except ValueError:
return jsonify({
"success": False,
"message": "Invalid subcontractor."
}), 400
# =========================================================
# RA BILL LIST
# =========================================================
ra_bill_list = []
if ra_bill:
ra_bill_list = [
x.strip()
for x in ra_bill.split(",")
if x.strip()
]
# =========================================================
# SUBCONTRACTOR QUERY
# =========================================================
sub_query = Laying.query
if subcontractor_id_int:
sub_query = sub_query.filter(
Laying.subcontractor_id
== subcontractor_id_int
)
if ra_bill_list:
sub_query = sub_query.filter(
Laying.RA_Bill_No.in_(
ra_bill_list
)
)
sub_records = sub_query.all()
# =========================================================
# MATCHING KEYS
# MH_NO + LOCATION
# =========================================================
sub_keys = [
(
(r.MH_NO or "").strip().upper(),
(r.Location or "").strip().upper()
)
for r in sub_records
]
# =========================================================
# CLIENT QUERY
# =========================================================
client_query = LayingClient.query
if sub_keys:
client_query = client_query.filter(
tuple_(
func.upper(
func.trim(
LayingClient.MH_NO
)
),
func.upper(
func.trim(
LayingClient.Location
)
)
).in_(sub_keys)
)
client_records = client_query.all()
# =========================================================
# GET CLIENT RATES
#
# Category = Laying
# =========================================================
client_rates = (
ClientRate.query
.filter(
func.lower(
func.trim(
ClientRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
ClientRate.status
)
) == "active"
)
.all()
)
# =========================================================
# GET SUBCONTRACTOR RATES
#
# Selected Subcontractor
# +
# Category = Laying
# +
# Active
# =========================================================
sub_rates = []
if subcontractor_id_int:
sub_rates = (
SubcontractorRate.query
.filter(
SubcontractorRate.subcontractor_id
== subcontractor_id_int,
func.lower(
func.trim(
SubcontractorRate.category
)
) == CATEGORY.lower(),
func.lower(
func.trim(
SubcontractorRate.status
)
) == "active"
)
.all()
)
# =========================================================
# CLIENT RATE MAP
# =========================================================
client_rate_map = {
(rate.item_name or "")
.strip()
.lower():
float(rate.rate or 0)
for rate in client_rates
}
# =========================================================
# SUBCONTRACTOR RATE MAP
# =========================================================
sub_rate_map = {
(rate.item_name or "")
.strip()
.lower():
float(rate.rate or 0)
for rate in sub_rates
}
# =========================================================
# TOTAL HELPER
# =========================================================
def total(records, field):
value = 0
for record in records:
field_value = getattr(
record,
field,
0
)
if field_value is not None:
value += float(
field_value
)
return round(value, 2)
# =========================================================
# LAYING MAPPING
#
# label:
# Dashboard display name
#
# field:
# Actual model field
#
# item_name:
# Rate Master item_name
# =========================================================
LAYING_MAPPING = [
{
"label": "150 mm",
"field": "pipe_150_mm",
"item_name": "pipe_150_mm"
},
{
"label": "200 mm",
"field": "pipe_200_mm",
"item_name": "pipe_200_mm"
},
{
"label": "250 mm",
"field": "pipe_250_mm",
"item_name": "pipe_250_mm"
},
{
"label": "300 mm",
"field": "pipe_300_mm",
"item_name": "pipe_300_mm"
},
{
"label": "350 mm",
"field": "pipe_350_mm",
"item_name": "pipe_350_mm"
},
{
"label": "400 mm",
"field": "pipe_400_mm",
"item_name": "pipe_400_mm"
},
{
"label": "450 mm",
"field": "pipe_450_mm",
"item_name": "pipe_450_mm"
},
{
"label": "500 mm",
"field": "pipe_500_mm",
"item_name": "pipe_500_mm"
},
{
"label": "600 mm",
"field": "pipe_600_mm",
"item_name": "pipe_600_mm"
},
{
"label": "700 mm",
"field": "pipe_700_mm",
"item_name": "pipe_700_mm"
},
{
"label": "900 mm",
"field": "pipe_900_mm",
"item_name": "pipe_900_mm"
},
{
"label": "1200 mm",
"field": "pipe_1200_mm",
"item_name": "pipe_1200_mm"
}
]
# =========================================================
# BUILD DATA
# =========================================================
chart_data = []
for item in LAYING_MAPPING:
field = item["field"]
item_name = item["item_name"]
# =====================================================
# QUANTITY
# =====================================================
client_qty = total(
client_records,
field
)
sub_qty = total(
sub_records,
field
)
# =====================================================
# RATE KEY
# =====================================================
rate_key = (
item_name
.strip()
.lower()
)
# =====================================================
# CLIENT RATE
# =====================================================
client_rate = client_rate_map.get(
rate_key,
0
)
# =====================================================
# SUBCONTRACTOR RATE
# =====================================================
sub_rate = sub_rate_map.get(
rate_key,
0
)
# =====================================================
# AMOUNT
# =====================================================
client_amount = (
client_qty
* client_rate
)
sub_amount = (
sub_qty
* sub_rate
)
# =====================================================
# DIFFERENCES
# =====================================================
qty_difference = (
client_qty
- sub_qty
)
rate_difference = (
client_rate
- sub_rate
)
amount_difference = (
client_amount
- sub_amount
)
# =====================================================
# FINAL ROW
# =====================================================
chart_data.append({
"label":
item["label"],
# Actual model field
"field":
field,
# Rate Master item_name
"item_name":
item_name,
# Quantity
"client":
round(client_qty, 2),
"sub":
round(sub_qty, 2),
# Rate
"client_rate":
round(client_rate, 2),
"sub_rate":
round(sub_rate, 2),
# Amount
"client_amount":
round(client_amount, 2),
"sub_amount":
round(sub_amount, 2),
# Difference
"qty_difference":
round(qty_difference, 2),
"rate_difference":
round(rate_difference, 2),
"amount_difference":
round(amount_difference, 2)
})
# =========================================================
# RESPONSE
# =========================================================
return jsonify({
"success": True,
"title":
"Pipe Laying Comparison",
"y_title":
"Pipe Length (Mtr)",
# =====================================================
# CHART DATA
# =====================================================
"labels": [
x["label"]
for x in chart_data
],
"client_qty": [
x["client"]
for x in chart_data
],
"sub_qty": [
x["sub"]
for x in chart_data
],
# =====================================================
# RATE DATA
# =====================================================
"client_rate": [
x["client_rate"]
for x in chart_data
],
"sub_rate": [
x["sub_rate"]
for x in chart_data
],
# =====================================================
# AMOUNT DATA
# =====================================================
"client_amount": [
x["client_amount"]
for x in chart_data
],
"sub_amount": [
x["sub_amount"]
for x in chart_data
],
# =====================================================
# DIFFERENCE DATA
# =====================================================
"qty_difference": [
x["qty_difference"]
for x in chart_data
],
"rate_difference": [
x["rate_difference"]
for x in chart_data
],
"amount_difference": [
x["amount_difference"]
for x in chart_data
],
# Complete table rows
"rows": chart_data
})