Comparison_Project/app/routes/file_report.py

from flask import Blueprint, render_template, request, send_file, flash
from app.models.subcontractor_model import Subcontractor
from app.models.manhole_excavation_model import ManholeExcavation
from app.models.trench_excavation_model import TrenchExcavation
from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber
from app.models.mh_ex_client_model import ManholeExcavationClient
from app.models.tr_ex_client_model import TrenchExcavationClient
from app.models.mh_dc_client_model import ManholeDomesticChamberClient
from app.utils.helpers import login_required

import pandas as pd
import io
from enum import Enum

# --- 1. DEFINE BLUEPRINT FIRST (Prevents NameError) ---
file_report_bp = Blueprint("file_report", __name__, url_prefix="/file")

class BillType(Enum):
    Client = 1
    Subcontractor = 2

# --- 2. DEFINE CLASSES ---
class SubcontractorBill:
    def __init__(self):
        # Initialize as empty DataFrames so .to_excel() always exists
        self.df_tr = pd.DataFrame()
        self.df_mh = pd.DataFrame()
        self.df_dc = pd.DataFrame()

    def Fetch(self, RA_Bill_No, subcontractor_id):
        # Query data filtered by both Bill No and Subcontractor ID
        trench = TrenchExcavation.query.filter_by(RA_Bill_No=RA_Bill_No, subcontractor_id=subcontractor_id).all()
        mh = ManholeExcavation.query.filter_by(RA_Bill_No=RA_Bill_No, subcontractor_id=subcontractor_id).all()
        dc = ManholeDomesticChamber.query.filter_by(RA_Bill_No=RA_Bill_No, subcontractor_id=subcontractor_id).all()

        # Convert SQL objects to DataFrames
        self.df_tr = pd.DataFrame([c.__dict__ for c in trench])
        self.df_mh = pd.DataFrame([c.__dict__ for c in mh])
        self.df_dc = pd.DataFrame([c.__dict__ for c in dc])

        # Clean Columns (remove SQLAlchemy internal state)
        drop_cols = ["id", "created_at", "_sa_instance_state"]
        
        for df in [self.df_tr, self.df_mh, self.df_dc]:
            if not df.empty:
                df.drop(columns=drop_cols, errors="ignore", inplace=True)

# --- 3. DEFINE ROUTES ---
@file_report_bp.route("/report", methods=["GET", "POST"])
@login_required
def report_file():
    subcontractors = Subcontractor.query.all()

    if request.method == "POST":
        subcontractor_id = request.form.get("subcontractor_id")
        ra_bill_no = request.form.get("ra_bill_no") # Collected from the updated HTML

        if not subcontractor_id or not ra_bill_no:
            flash("Please select a subcontractor and enter an RA Bill Number.", "danger")
            return render_template("report.html", subcontractors=subcontractors)

        subcontractor = Subcontractor.query.get(subcontractor_id)
        
        # Instantiate and Fetch Data
        bill_gen = SubcontractorBill()
        bill_gen.Fetch(RA_Bill_No=ra_bill_no, subcontractor_id=subcontractor_id)

        # Check if any data was found
        if bill_gen.df_tr.empty and bill_gen.df_mh.empty and bill_gen.df_dc.empty:
            flash(f"No data found for {subcontractor.subcontractor_name} in RA Bill {ra_bill_no}", "warning")
            return render_template("report.html", subcontractors=subcontractors)

        # WRITE EXCEL FILE
        output = io.BytesIO()
        file_name = f"{subcontractor.subcontractor_name}_RA_{ra_bill_no}_Report.xlsx"

        with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
            bill_gen.df_tr.to_excel(writer, index=False, sheet_name="Tr.Ex.")
            bill_gen.df_mh.to_excel(writer, index=False, sheet_name="MH.Ex.")
            bill_gen.df_dc.to_excel(writer, index=False, sheet_name="MH & DC")

        output.seek(0)
        return send_file(
            output,
            download_name=file_name,
            as_attachment=True,
            mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
        )

    return render_template("report.html", subcontractors=subcontractors)

# (ClientBill class and client_vs_all_subcontractor route would follow here...)


@file_report_bp.route("/client_vs_subcont", methods=["GET", "POST"])
@login_required
def client_vs_all_subcontractor():
    

    if request.method == "POST":
        RA_Bill_No = request.form.get("RA_Bill_No")

        if not RA_Bill_No:
            flash("Please select RA Bill No.", "danger")
            return render_template("generate_comparison_client_vs_subcont.html")

        clientBill = ClientBill()
        clientBill.Fetch(RA_Bill_No=RA_Bill_No)

        contractorBill = SubcontractorBill()
        contractorBill.Fetch(RA_Bill_No=RA_Bill_No)
      
        # GROUP SUBCONTRACTOR DATA
        qty_cols = [
            "Soft_Murum_0_to_1_5_total",
            "Soft_Murum_1_5_to_3_0_total",
            "Soft_Murum_3_0_to_4_5_total",
            "Hard_Murum_0_to_1_5_total",
            "Hard_Murum_1_5_and_above_total",
            "Soft_Rock_0_to_1_5_total",
            "Soft_Rock_1_5_and_above_total",
            "Hard_Rock_0_to_1_5_total",
            "Hard_Rock_1_5_to_3_0_total",
            "Hard_Rock_3_0_to_4_5_total",
            "Hard_Rock_4_5_to_6_0_total",
            "Hard_Rock_6_0_to_7_5_total"
        ]

        mh_dc_qty_cols = [
            "d_0_to_0_75",
            "d_0_76_to_1_05",
            "d_1_06_to_1_65",
            "d_1_66_to_2_15",
            "d_2_16_to_2_65",
            "d_2_66_to_3_15",
            "d_3_16_to_3_65",
            "d_3_66_to_4_15",
            "d_4_16_to_4_65",
            "d_4_66_to_5_15",
            "d_5_16_to_5_65",
            "d_5_66_to_6_15",
            "d_6_16_to_6_65",
            "d_6_66_to_7_15",
            "d_7_16_to_7_65",
            "d_7_66_to_8_15",
            "d_8_16_to_8_65",
            "d_8_66_to_9_15",
            "d_9_16_to_9_65",
            "Domestic_Chambers"
        ]

        df_sub_tr_grp = (contractorBill.df_tr.groupby(["Location", "MH_NO"], as_index=False)[qty_cols].sum())

        df_sub_mh_grp = (contractorBill.df_mh.groupby(["Location", "MH_NO"], as_index=False)[qty_cols].sum())

        df_sub_dc_grp = (contractorBill.df_dc.groupby(["Location", "Node_No"], as_index=False)[mh_dc_qty_cols].sum())

        # MERGE CLIENT VS SUBCONTRACTOR
        df_tr_cmp = clientBill.df_tr.merge(
            df_sub_tr_grp,
            on=["Location", "MH_NO"],
            how="left",
            suffixes=("_Client", "_Sub")
        )

        df_mh_cmp = clientBill.df_mh.merge(
            df_sub_mh_grp,
            on=["Location", "MH_NO"],
            how="left",
            suffixes=("_Client", "_Sub")
        )

        if "MH_NO" in clientBill.df_dc.columns:
            clientBill.df_dc.rename(columns={"MH_NO": "Node_No"}, inplace=True)

        df_dc_cmp = clientBill.df_dc.merge(
            df_sub_dc_grp,
            on=["Location", "Node_No"],
            how="left",
            suffixes=("_Client", "_Sub")
        )
       
        # CALCULATE DIFFERENCE
        for col in qty_cols:
            if f"{col}_Client" in df_tr_cmp.columns:
                df_tr_cmp[f"{col}_Diff"] = (
                    df_tr_cmp[f"{col}_Client"].fillna(0)
                    - df_tr_cmp[f"{col}_Sub"].fillna(0)
                )

                print("Sum of df_tr_cmp::",df_tr_cmp)

                df_mh_cmp[f"{col}_Diff"] = (
                    df_mh_cmp[f"{col}_Client"].fillna(0)
                    - df_mh_cmp[f"{col}_Sub"].fillna(0)
                )
                print("Sum of df_mh_cmp::",df_mh_cmp)


        df_dc_cmp["Domestic_Chambers_Diff"] = (
            df_dc_cmp["Domestic_Chambers_Client"].fillna(0)
            - df_dc_cmp["Domestic_Chambers_Sub"].fillna(0)
        )

       
        # EXPORT EXCEL
        output = io.BytesIO()
        file_name = f"Client_vs_All_Subcontractor_RA_{RA_Bill_No}.xlsx"

        with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
            df_tr_cmp.to_excel(writer, sheet_name="Tr.Ex", index=False)
            df_mh_cmp.to_excel(writer, sheet_name="Mh.Ex", index=False)
            df_dc_cmp.to_excel(writer, sheet_name="MH & DC", index=False)

        output.seek(0)

        return send_file(
            output,
            download_name=file_name,
            as_attachment=True,
            mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
        )

    return render_template("generate_comparison_client_vs_subcont.html")