changes of genrate report
This commit is contained in:
@@ -11,41 +11,36 @@ from app import db
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import pandas as pd
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import io
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from enum import Enum
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file_report_bp = Blueprint("file_report", __name__, url_prefix="/file")
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# get report by contractor id and dowanload
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@file_report_bp.route("/report", methods=["GET", "POST"])
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def report_file():
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subcontractors = Subcontractor.query.all()
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class BillType(Enum):
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Client = 1
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Subcontractor = 2
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if request.method == "POST":
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subcontractor_id = request.form.get("subcontractor_id")
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class SubcontractorBill:
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df_tr = []
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df_mh = []
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df_dc =[]
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if not subcontractor_id:
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flash("Please select a subcontractor.", "danger")
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return render_template("report.html", subcontractors=subcontractors)
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def Fetch(self, RA_Bill_No):
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# CLIENT DATA (RA BILL WISE)
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# Fetch subcontractor for file name
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subcontractor = Subcontractor.query.get(subcontractor_id)
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manhole_excavation = ManholeExcavation.query.filter_by(subcontractor_id=subcontractor_id).all()
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trench_excavation = TrenchExcavation.query.filter_by(subcontractor_id=subcontractor_id).all()
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domestic_chamber = ManholeDomesticChamber.query.filter_by(subcontractor_id=subcontractor_id).all()
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trench = TrenchExcavation.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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mh = ManholeExcavation.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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dc = ManholeDomesticChamber.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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self.df_tr = pd.DataFrame([c.__dict__ for c in trench])
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self.df_mh = pd.DataFrame([c.__dict__ for c in mh])
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self.df_dc = pd.DataFrame([c.__dict__ for c in dc])
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# Convert to DataFrame
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df_mh_exc = pd.DataFrame([m.__dict__ for m in manhole_excavation])
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df_trench = pd.DataFrame([t.__dict__ for t in trench_excavation])
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df_domestic = pd.DataFrame([d.__dict__ for d in domestic_chamber])
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# CLEAN COLUMNS
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drop_cols = ["id","created_at","Remarks","_sa_instance_state"]
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# Drop unnecessary SQLAlchemy fields
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drop_cols = ["id", "subcontractor_id", "created_at", "_sa_instance_state","Remarks"]
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df_mh_exc.drop(columns=drop_cols, errors="ignore", inplace=True)
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df_trench.drop(columns=drop_cols, errors="ignore", inplace=True)
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df_domestic.drop(columns=drop_cols, errors="ignore", inplace=True)
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for df in [self.df_tr, self.df_mh, self.df_dc]:
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if not df.empty:
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df.drop(columns=drop_cols, errors="ignore", inplace=True)
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mh_exc_columns = [
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"Location", "MH_NO", "Upto_IL_Depth", "Cutting_Depth", "ID_of_MH_m",
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@@ -106,19 +101,40 @@ def report_file():
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"Domestic_Chambers"
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]
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# Reorder columns serial wise
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df_mh_exc = df_mh_exc.reindex(columns=mh_exc_columns, fill_value="")
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df_trench = df_trench.reindex(columns=trench_columns, fill_value="")
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df_domestic = df_domestic.reindex(columns=domestic_columns, fill_value="")
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# Reorder columns serial wise
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df_mh_exc = self.df_mh.reindex(columns=mh_exc_columns, fill_value="")
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df_trench = self.df_tr.reindex(columns=trench_columns, fill_value="")
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df_domestic = self.df_dc.reindex(columns=domestic_columns, fill_value="")
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# get report by contractor id and dowanload
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@file_report_bp.route("/report", methods=["GET", "POST"])
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def report_file():
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subcontractors = Subcontractor.query.all()
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if request.method == "POST":
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subcontractor_id = request.form.get("subcontractor_id")
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if not subcontractor_id:
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flash("Please select a subcontractor.", "danger")
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return render_template("report.html", subcontractors=subcontractors)
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# Fetch subcontractor for file name
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subcontractor = Subcontractor.query.get(subcontractor_id)
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subcontractorBill = SubcontractorBill()
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# WRITE EXCEL FILE
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output = io.BytesIO()
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file_name = f"{subcontractor.subcontractor_name}_Report.xlsx"
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with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
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df_trench.to_excel(writer, index=False, sheet_name="Tr.Ex.")
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df_mh_exc.to_excel(writer, index=False, sheet_name="MH.Ex.")
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df_domestic.to_excel(writer, index=False, sheet_name="MH & DC")
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subcontractorBill.df_tr.to_excel(writer, index=False, sheet_name="Tr.Ex.")
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subcontractorBill.df_mh.to_excel(writer, index=False, sheet_name="MH.Ex.")
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subcontractorBill.df_dc.to_excel(writer, index=False, sheet_name="MH & DC")
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output.seek(0)
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@@ -132,9 +148,30 @@ def report_file():
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return render_template("report.html", subcontractors=subcontractors)
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class ClientBill:
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df_tr = []
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df_mh = []
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df_dc =[]
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def Fetch(self, RA_Bill_No):
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# CLIENT DATA (RA BILL WISE)
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trench = TrenchExcavationClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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mh = ManholeExcavationClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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dc = ManholeDomesticChamberClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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self.df_tr = pd.DataFrame([c.__dict__ for c in trench])
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self.df_mh = pd.DataFrame([c.__dict__ for c in mh])
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self.df_dc = pd.DataFrame([c.__dict__ for c in dc])
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# CLEAN COLUMNS
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drop_cols = ["id","created_at","Remarks","_sa_instance_state"]
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for df in [self.df_tr, self.df_mh, self.df_dc]:
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if not df.empty:
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df.drop(columns=drop_cols, errors="ignore", inplace=True)
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@file_report_bp.route("/client_vs_subcont", methods=["GET", "POST"])
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def client_vs_all_subcontractor():
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@@ -147,31 +184,13 @@ def client_vs_all_subcontractor():
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flash("Please select RA Bill No.", "danger")
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return render_template("generate_comparison_client_vs_subcont.html")
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clientBill = ClientBill()
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clientBill.Fetch(RA_Bill_No=RA_Bill_No)
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contractorBill = SubcontractorBill()
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contractorBill.Fetch(RA_Bill_No=RA_Bill_No)
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# CLIENT DATA (RA BILL WISE)
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client_trench = TrenchExcavationClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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client_mh = ManholeExcavationClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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client_dc = ManholeDomesticChamberClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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df_client_tr = pd.DataFrame([c.__dict__ for c in client_trench])
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df_client_mh = pd.DataFrame([c.__dict__ for c in client_mh])
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df_client_dc = pd.DataFrame([c.__dict__ for c in client_dc])
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# ALL SUBCONTRACTOR DATA
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sub_trench = TrenchExcavation.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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sub_mh = ManholeExcavation.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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sub_dc = ManholeDomesticChamber.query.filter_by(RA_Bill_No=RA_Bill_No).all()
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df_sub_tr = pd.DataFrame([s.__dict__ for s in sub_trench])
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df_sub_mh = pd.DataFrame([s.__dict__ for s in sub_mh])
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df_sub_dc = pd.DataFrame([s.__dict__ for s in sub_dc])
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# CLEAN COLUMNS
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drop_cols = ["id","created_at","Remarks","_sa_instance_state"]
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for df in [df_client_tr, df_client_mh, df_client_dc,df_sub_tr, df_sub_mh, df_sub_dc]:
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if not df.empty:
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df.drop(columns=drop_cols, errors="ignore", inplace=True)
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# GROUP SUBCONTRACTOR DATA
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@@ -213,31 +232,31 @@ def client_vs_all_subcontractor():
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"Domestic_Chambers"
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]
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df_sub_tr_grp = (df_sub_tr.groupby(["Location", "MH_NO"], as_index=False)[qty_cols].sum())
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df_sub_tr_grp = (contractorBill.df_tr.groupby(["Location", "MH_NO"], as_index=False)[qty_cols].sum())
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df_sub_mh_grp = (df_sub_mh.groupby(["Location", "MH_NO"], as_index=False)[qty_cols].sum())
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df_sub_mh_grp = (contractorBill.df_mh.groupby(["Location", "MH_NO"], as_index=False)[qty_cols].sum())
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df_sub_dc_grp = (df_sub_dc.groupby(["Location", "Node_No"], as_index=False)[mh_dc_qty_cols].sum())
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df_sub_dc_grp = (contractorBill.df_dc.groupby(["Location", "Node_No"], as_index=False)[mh_dc_qty_cols].sum())
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# MERGE CLIENT VS SUBCONTRACTOR
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df_tr_cmp = df_client_tr.merge(
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df_tr_cmp = clientBill.df_tr.merge(
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df_sub_tr_grp,
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on=["Location", "MH_NO"],
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how="left",
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suffixes=("_Client", "_Sub")
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)
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df_mh_cmp = df_client_mh.merge(
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df_mh_cmp = clientBill.df_mh.merge(
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df_sub_mh_grp,
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on=["Location", "MH_NO"],
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how="left",
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suffixes=("_Client", "_Sub")
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)
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if "MH_NO" in df_client_dc.columns:
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df_client_dc.rename(columns={"MH_NO": "Node_No"}, inplace=True)
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if "MH_NO" in clientBill.df_dc.columns:
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clientBill.df_dc.rename(columns={"MH_NO": "Node_No"}, inplace=True)
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df_dc_cmp = df_client_dc.merge(
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df_dc_cmp = clientBill.df_dc.merge(
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df_sub_dc_grp,
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on=["Location", "Node_No"],
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how="left",
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@@ -1,10 +1,9 @@
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from flask import Blueprint, render_template, request, send_file, flash
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from app import db
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import pandas as pd
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import io
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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.tr_ex_client_model import TrenchExcavationClient
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from app.models.manhole_excavation_model import ManholeExcavation
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@@ -12,10 +11,20 @@ from app.models.mh_ex_client_model import ManholeExcavationClient
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from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber
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from app.models.mh_dc_client_model import ManholeDomesticChamberClient
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generate_report_bp = Blueprint("generate_report", __name__, url_prefix="/report")
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# HELPER FUNCTION
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def make_lookup(rows, key_field):
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return {
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(r.Location, getattr(r, key_field)): r
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for r in rows
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if r.Location and getattr(r, key_field, None)
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}
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@generate_report_bp.route("/comparison_report", methods=["GET", "POST"])
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def comparison_report():
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subcontractors = Subcontractor.query.all()
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@@ -25,69 +34,38 @@ def comparison_report():
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if not subcontractor_id:
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flash("Please select a subcontractor.", "danger")
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return render_template(
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"generate_comparison_report.html",
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subcontractors=subcontractors
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)
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return render_template("generate_comparison_report.html",subcontractors=subcontractors)
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subcontractor = Subcontractor.query.get_or_404(subcontractor_id)
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# --------------------------- Tr.Ex model -----------------------------
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contractor_tr_ex = TrenchExcavation.query.filter_by(
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subcontractor_id=subcontractor_id
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).all()
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client_tr_ex = TrenchExcavationClient.query.filter_by(
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subcontractor_id=subcontractor_id
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).all()
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# ================= TRENCH EXCAVATION =================
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client_tr_ex = TrenchExcavationClient.query.all()
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contractor_tr_ex = TrenchExcavation.query.filter_by(subcontractor_id=subcontractor_id).all()
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contractor_lookup = make_lookup(contractor_tr_ex, "MH_NO")
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combined_rows_tr_ex = []
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for row1, row2 in zip(client_tr_ex, contractor_tr_ex):
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# -------- Tr.Ex CLIENT TOTAL ----------
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client_total = (
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(row1.Marshi_Muddy_Slushy_0_to_1_5_total or 0) +
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(row1.Marshi_Muddy_Slushy_1_5_to_3_0_total or 0) +
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(row1.Marshi_Muddy_Slushy_3_0_to_4_5_total or 0) +
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(row1.Soft_Murum_0_to_1_5_total or 0) +
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(row1.Soft_Murum_1_5_to_3_0_total or 0) +
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(row1.Soft_Murum_3_0_to_4_5_total or 0) +
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(row1.Hard_Murum_0_to_1_5_total or 0) +
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(row1.Hard_Murum_1_5_to_3_0_total or 0) +
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(row1.Hard_Murum_3_0_to_4_5_total or 0) +
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(row1.Soft_Rock_0_to_1_5_total or 0) +
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(row1.Soft_Rock_1_5_to_3_0_total or 0) +
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(row1.Soft_Rock_3_0_to_4_5_total or 0) +
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(row1.Hard_Rock_0_to_1_5_total or 0) +
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(row1.Hard_Rock_1_5_to_3_0_total or 0) +
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(row1.Hard_Rock_3_0_to_4_5_total or 0) +
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(row1.Hard_Rock_4_5_to_6_0_total or 0) +
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(row1.Hard_Rock_6_0_to_7_5_total or 0)
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)
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for row1 in client_tr_ex:
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row2 = contractor_lookup.get((row1.Location, row1.MH_NO))
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if not row2:
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continue
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# -------- SUBCONTRACTOR TOTAL ----------
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contractor_total = (
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(row2.Soft_Murum_0_to_1_5_total or 0) +
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(row2.Soft_Murum_1_5_to_3_0_total or 0) +
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(row2.Soft_Murum_3_0_to_4_5_total or 0) +
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(row2.Hard_Murum_0_to_1_5_total or 0) +
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(row2.Hard_Murum_1_5_and_above_total or 0) +
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(row2.Soft_Rock_0_to_1_5_total or 0) +
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(row2.Soft_Rock_1_5_and_above_total or 0) +
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(row2.Hard_Rock_0_to_1_5_total or 0) +
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(row2.Hard_Rock_1_5_and_above_total or 0) +
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(row2.Hard_Rock_4_5_to_6_0_total or 0) +
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(row2.Hard_Rock_6_0_to_7_5_total or 0)
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)
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# -------- CLIENT TOTAL ----------
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client_total = sum(v or 0 for k, v in row1.__dict__.items()
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if k.endswith("_total"))
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# -------- SUB TOTAL ----------
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contractor_total = sum(v or 0 for k, v in row2.__dict__.items()
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if k.endswith("_total"))
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diff = client_total - contractor_total
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# -------- COMBINED ROW ----------
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row_data = {
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"Location": row1.Location,
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"MH No": row1.MH_NO,
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}
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# Client columns
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# -------- CLIENT COLUMNS ----------
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for col, val in row1.__dict__.items():
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if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
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continue
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@@ -96,7 +74,7 @@ def comparison_report():
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row_data["Client_Total"] = round(client_total, 2)
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row_data[" - "] = " "
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# Subcontractor columns
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# -------- SUB COLUMNS ----------
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for col, val in row2.__dict__.items():
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if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
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continue
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@@ -106,77 +84,34 @@ def comparison_report():
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row_data["--"] = " "
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row_data["Diff"] = round(diff, 2)
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combined_rows_tr_ex.append(row_data)
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# Console log
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print(
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f"{row1.Location} | {row1.MH_NO} | "
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f"Client={client_total} | Sub={contractor_total} | Diff={diff}"
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)
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df_tr_ex = pd.DataFrame(combined_rows_tr_ex)
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# --------------------------- Mh.Ex model -----------------------------
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contractor_mh_ex = ManholeExcavation.query.filter_by(
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subcontractor_id=subcontractor_id
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).all()
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client_mh_ex = ManholeExcavationClient.query.filter_by(
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subcontractor_id=subcontractor_id
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).all()
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# ================= MANHOLE EXCAVATION =================
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client_mh_ex = ManholeExcavationClient.query.all()
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contractor_mh_ex = ManholeExcavation.query.filter_by(subcontractor_id=subcontractor_id).all()
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contractor_lookup = make_lookup(contractor_mh_ex, "MH_NO")
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combined_rows_mh_ex = []
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for row1, row2 in zip(client_mh_ex, contractor_mh_ex):
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# -------- Tr.Ex CLIENT TOTAL ----------
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client_total = (
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(row1.Marshi_Muddy_Slushy_0_to_1_5_total or 0) +
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(row1.Marshi_Muddy_Slushy_1_5_to_3_0_total or 0) +
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(row1.Marshi_Muddy_Slushy_3_0_to_4_5_total or 0) +
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(row1.Soft_Murum_0_to_1_5_total or 0) +
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(row1.Soft_Murum_1_5_to_3_0_total or 0) +
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(row1.Soft_Murum_3_0_to_4_5_total or 0) +
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(row1.Hard_Murum_0_to_1_5_total or 0) +
|
||||
(row1.Hard_Murum_1_5_to_3_0_total or 0) +
|
||||
(row1.Hard_Murum_3_0_to_4_5_total or 0) +
|
||||
(row1.Soft_Rock_0_to_1_5_total or 0) +
|
||||
(row1.Soft_Rock_1_5_to_3_0_total or 0) +
|
||||
(row1.Soft_Rock_3_0_to_4_5_total or 0) +
|
||||
(row1.Hard_Rock_0_to_1_5_total or 0) +
|
||||
(row1.Hard_Rock_1_5_to_3_0_total or 0) +
|
||||
(row1.Hard_Rock_3_0_to_4_5_total or 0) +
|
||||
(row1.Hard_Rock_4_5_to_6_0_total or 0) +
|
||||
(row1.Hard_Rock_6_0_to_7_5_total or 0)
|
||||
|
||||
)
|
||||
for row1 in client_mh_ex:
|
||||
row2 = contractor_lookup.get((row1.Location, row1.MH_NO))
|
||||
if not row2:
|
||||
continue
|
||||
|
||||
# -------- SUBCONTRACTOR TOTAL ----------
|
||||
contractor_total = (
|
||||
(row2.Soft_Murum_0_to_1_5_total or 0) +
|
||||
(row2.Soft_Murum_1_5_to_3_0_total or 0) +
|
||||
(row2.Soft_Murum_3_0_to_4_5_total or 0) +
|
||||
(row2.Hard_Murum_0_to_1_5_total or 0) +
|
||||
(row2.Hard_Murum_1_5_and_above_total or 0) +
|
||||
(row2.Soft_Rock_0_to_1_5_total or 0) +
|
||||
(row2.Soft_Rock_1_5_and_above_total or 0) +
|
||||
(row2.Hard_Rock_0_to_1_5_total or 0) +
|
||||
(row2.Hard_Rock_1_5_and_above_total or 0) +
|
||||
(row2.Hard_Rock_3_0_to_4_5_total or 0) +
|
||||
(row2.Hard_Rock_4_5_to_6_0_total or 0) +
|
||||
(row2.Hard_Rock_6_0_to_7_5_total or 0)
|
||||
)
|
||||
client_total = sum(v or 0 for k, v in row1.__dict__.items()
|
||||
if k.endswith("_total"))
|
||||
contractor_total = sum(v or 0 for k, v in row2.__dict__.items()
|
||||
if k.endswith("_total"))
|
||||
|
||||
diff = client_total - contractor_total
|
||||
|
||||
# -------- COMBINED ROW ----------
|
||||
row_data = {
|
||||
"Location": row1.Location,
|
||||
"MH No": row1.MH_NO,
|
||||
}
|
||||
|
||||
# Client columns
|
||||
for col, val in row1.__dict__.items():
|
||||
if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
|
||||
continue
|
||||
@@ -185,7 +120,6 @@ def comparison_report():
|
||||
row_data["Client_Total"] = round(client_total, 2)
|
||||
row_data[" - "] = " "
|
||||
|
||||
# Subcontractor columns
|
||||
for col, val in row2.__dict__.items():
|
||||
if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
|
||||
continue
|
||||
@@ -197,74 +131,33 @@ def comparison_report():
|
||||
|
||||
combined_rows_mh_ex.append(row_data)
|
||||
|
||||
# Console log
|
||||
print(
|
||||
f"{row1.Location} | {row1.MH_NO} | "
|
||||
f"Client={client_total} | Sub={contractor_total} | Diff={diff}"
|
||||
)
|
||||
|
||||
df_mh_ex = pd.DataFrame(combined_rows_mh_ex)
|
||||
|
||||
|
||||
# ============ MANHOLE DOMESTIC CHAMBER =================
|
||||
client_mh_dc = ManholeDomesticChamberClient.query.all()
|
||||
contractor_mh_dc = ManholeDomesticChamber.query.filter_by(subcontractor_id=subcontractor_id).all()
|
||||
|
||||
# ---------------------------- MH dC Model --------------------------
|
||||
contractor_mh_dc = ManholeDomesticChamber.query.filter_by(
|
||||
subcontractor_id=subcontractor_id
|
||||
).all()
|
||||
|
||||
client_mh_dc = ManholeDomesticChamberClient.query.filter_by(
|
||||
subcontractor_id=subcontractor_id
|
||||
).all()
|
||||
|
||||
contractor_lookup = make_lookup(contractor_mh_dc, "Node_no")
|
||||
combined_rows_mh_dc = []
|
||||
|
||||
for row1, row2 in zip(client_mh_dc, contractor_mh_dc):
|
||||
client_total = (
|
||||
(row1.d_0_to_1_5 or 0) +
|
||||
(row1.d_1_5_to_2_0 or 0) +
|
||||
(row1.d_2_0_to_2_5 or 0) +
|
||||
(row1.d_2_5_to_3_0 or 0) +
|
||||
(row1.d_3_0_to_3_5 or 0) +
|
||||
(row1.d_3_5_to_4_0 or 0) +
|
||||
(row1.d_4_0_to_4_5 or 0) +
|
||||
(row1.d_4_5_to_5_0 or 0) +
|
||||
(row1.d_5_0_to_5_5 or 0) +
|
||||
(row1.d_5_5_to_6_0 or 0) +
|
||||
(row1.d_6_0_to_6_5 or 0) +
|
||||
(row1.Domestic_Chambers or 0)
|
||||
)
|
||||
for row1 in client_mh_dc:
|
||||
row2 = contractor_lookup.get((row1.Location, row1.MH_NO))
|
||||
if not row2:
|
||||
continue
|
||||
|
||||
contractor_total = (
|
||||
(row2.d_0_to_0_75 or 0) +
|
||||
(row2.d_0_76_to_1_05 or 0) +
|
||||
(row2.d_1_06_to_1_65 or 0) +
|
||||
(row2.d_1_66_to_2_15 or 0) +
|
||||
(row2.d_2_16_to_2_65 or 0) +
|
||||
(row2.d_2_66_to_3_15 or 0) +
|
||||
(row2.d_3_16_to_3_65 or 0) +
|
||||
(row2.d_3_66_to_4_15 or 0) +
|
||||
(row2.d_4_16_to_4_65 or 0) +
|
||||
(row2.d_4_66_to_5_15 or 0) +
|
||||
(row2.d_5_16_to_5_65 or 0) +
|
||||
(row2.d_5_66_to_6_15 or 0) +
|
||||
(row2.d_6_16_to_6_65 or 0) +
|
||||
(row2.d_6_66_to_7_15 or 0) +
|
||||
(row2.d_7_16_to_7_65 or 0) +
|
||||
(row2.d_7_66_to_8_15 or 0) +
|
||||
(row2.d_8_16_to_8_65 or 0) +
|
||||
(row2.d_8_66_to_9_15 or 0) +
|
||||
(row2.d_9_16_to_9_65 or 0) +
|
||||
(row2.Domestic_Chambers or 0)
|
||||
)
|
||||
client_total = sum(v or 0 for k, v in row1.__dict__.items()
|
||||
if isinstance(v, (int, float)))
|
||||
contractor_total = sum(v or 0 for k, v in row2.__dict__.items()
|
||||
if isinstance(v, (int, float)))
|
||||
|
||||
diff = client_total - contractor_total
|
||||
|
||||
# -------- COMBINED ROW ----------
|
||||
row_data = {
|
||||
"Location": row1.Location,
|
||||
"Node No": row1.Node_No,
|
||||
"Node No": row1.MH_NO,
|
||||
}
|
||||
|
||||
# Client columns
|
||||
for col, val in row1.__dict__.items():
|
||||
if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
|
||||
continue
|
||||
@@ -272,8 +165,7 @@ def comparison_report():
|
||||
|
||||
row_data["Client_Total"] = round(client_total, 2)
|
||||
row_data[" - "] = " "
|
||||
|
||||
# Subcontractor columns
|
||||
|
||||
for col, val in row2.__dict__.items():
|
||||
if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
|
||||
continue
|
||||
@@ -285,24 +177,17 @@ def comparison_report():
|
||||
|
||||
combined_rows_mh_dc.append(row_data)
|
||||
|
||||
# Console log
|
||||
print(
|
||||
f"{row1.Location} | {row1.Node_No} | "
|
||||
f"Client={client_total} | Sub={contractor_total} | Diff={diff}"
|
||||
)
|
||||
|
||||
df_mh_dc = pd.DataFrame(combined_rows_mh_dc)
|
||||
|
||||
|
||||
|
||||
|
||||
# ================== EXCEL EXPORT ======================
|
||||
output = io.BytesIO()
|
||||
file_name = f"{subcontractor.subcontractor_name}_Comparison_Report.xlsx"
|
||||
|
||||
with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
|
||||
df_tr_ex.to_excel(writer, index=False, sheet_name="Tr.Ex")
|
||||
df_mh_ex.to_excel(writer,index=False,sheet_name="Mh.Ex")
|
||||
df_mh_dc.to_excel(writer,index=False,sheet_name="MH & DC")
|
||||
|
||||
df_mh_ex.to_excel(writer, index=False, sheet_name="Mh.Ex")
|
||||
df_mh_dc.to_excel(writer, index=False, sheet_name="MH & DC")
|
||||
|
||||
output.seek(0)
|
||||
|
||||
@@ -313,9 +198,4 @@ def comparison_report():
|
||||
mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
|
||||
)
|
||||
|
||||
return render_template(
|
||||
"generate_comparison_report.html",
|
||||
subcontractors=subcontractors
|
||||
)
|
||||
|
||||
|
||||
return render_template("generate_comparison_report.html",subcontractors=subcontractors)
|
||||
|
||||
Reference in New Issue
Block a user