134 lines
5.0 KiB
Python
134 lines
5.0 KiB
Python
from flask import Blueprint, render_template, request, send_file, flash
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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 import db
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import pandas as pd
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import io
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generate_report_bp = Blueprint("generate_report", __name__, url_prefix="/report")
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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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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("generate_comparison_report.html", subcontractors=subcontractors)
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subcontractor = Subcontractor.query.get_or_404(subcontractor_id)
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# Fetch data
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contractor_rows = TrenchExcavation.query.filter_by(subcontractor_id=subcontractor_id).all()
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client_rows = TrenchExcavationClient.query.filter_by(subcontractor_id=subcontractor_id).all()
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diff_rows = []
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for row1, row2 in zip(client_rows, contractor_rows):
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total1 = (
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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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total2 = (
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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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diff = total1 - total2
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# ---- store for excel ----
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diff_rows.append({
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"Location": row1.Location,
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"Node No": row1.MH_NO,
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"Client Sum": round(total1, 2),
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"Subcontractor Sum": round(total2, 2),
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"Diff": round(diff, 2)
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})
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# optional console print
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print(
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f"Location : {row1.Location} | "
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f"MH_NO : {row1.MH_NO} | "
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f"Client : {total1} | "
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f"Sub : {total2} | "
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f"Diff : {diff}"
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)
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# Convert to DataFrame
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df_contractor = pd.DataFrame([r.__dict__ for r in contractor_rows])
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df_client = pd.DataFrame([r.__dict__ for r in client_rows])
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df_diff = pd.DataFrame(diff_rows, columns=["Location", "Node No", "Client Sum", "Subcontractor Sum", "Diff"])
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# Drop unwanted columns
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drop_cols = ["id", "subcontractor_id", "created_at", "_sa_instance_state", "Remarks"]
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df_contractor.drop(columns=drop_cols, errors="ignore", inplace=True)
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df_client.drop(columns=drop_cols, errors="ignore", inplace=True)
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# Convert to numeric
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df_contractor = df_contractor.apply(pd.to_numeric, errors="coerce").fillna(0)
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df_client = df_client.apply(pd.to_numeric, errors="coerce").fillna(0)
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# EXPORT EXCEL
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output = io.BytesIO()
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file_name = f"{subcontractor.subcontractor_name}_Comparison_Report.xlsx"
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with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
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df_contractor.to_excel(writer, index=False, sheet_name="Contractor_Data")
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df_client.to_excel(writer, index=False, sheet_name="Client_Data")
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df_diff.to_excel(writer, index=False, sheet_name="Diff")
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output.seek(0)
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return send_file(
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output,
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as_attachment=True,
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download_name=file_name,
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mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
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)
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return render_template("generate_comparison_report.html", subcontractors=subcontractors)
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