added client RA bill wise download report

This commit is contained in:
2026-01-13 15:58:52 +05:30
parent 844dcbee81
commit 2cbb565380
3 changed files with 191 additions and 61 deletions

View File

@@ -22,30 +22,38 @@ class BillType(Enum):
# --- 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()
def Fetch(self, RA_Bill_No=None, subcontractor_id=None):
# Build dynamic filters based on what is provided
filters = {}
if subcontractor_id:
filters["subcontractor_id"] = subcontractor_id
if RA_Bill_No:
filters["RA_Bill_No"] = RA_Bill_No
# 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])
# Query using the filters
trench = TrenchExcavation.query.filter_by(**filters).all()
mh = ManholeExcavation.query.filter_by(**filters).all()
dc = ManholeDomesticChamber.query.filter_by(**filters).all()
# Convert to DataFrames
self.df_tr = pd.DataFrame([c.serialize() for c in trench])
self.df_mh = pd.DataFrame([c.serialize() for c in mh])
self.df_dc = pd.DataFrame([c.serialize() for c in dc])
# Standardize columns and clean internal SQLAlchemy state
if not self.df_dc.empty and "MH_NO" in self.df_dc.columns:
self.df_dc.rename(columns={"MH_NO": "Node_No"}, inplace=True)
# 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 ---
# --- Updated Route with "Download All" Support ---
@file_report_bp.route("/report", methods=["GET", "POST"])
@login_required
def report_file():
@@ -53,43 +61,71 @@ def report_file():
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
ra_bill_no = request.form.get("ra_bill_no")
download_all = request.form.get("download_all") == "true" # Check for toggle
if not subcontractor_id or not ra_bill_no:
flash("Please select a subcontractor and enter an RA Bill Number.", "danger")
if not subcontractor_id:
flash("Please select a subcontractor.", "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 download_all:
# Fetch EVERYTHING for this subcontractor
bill_gen.Fetch(subcontractor_id=subcontractor_id, RA_Bill_No=None)
file_name = f"{subcontractor.subcontractor_name}_ALL_BILLS.xlsx"
else:
if not ra_bill_no:
flash("Please enter an RA Bill Number or select 'Download All'.", "danger")
return render_template("report.html", subcontractors=subcontractors)
bill_gen.Fetch(RA_Bill_No=ra_bill_no, subcontractor_id=subcontractor_id)
file_name = f"{subcontractor.subcontractor_name}_RA_{ra_bill_no}_Report.xlsx"
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")
flash("No data found for this selection.", "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 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...)
class ClientBill:
def __init__(self):
self.df_tr = pd.DataFrame()
self.df_mh = pd.DataFrame()
self.df_dc = pd.DataFrame()
def Fetch(self, RA_Bill_No):
trench = TrenchExcavationClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
mh = ManholeExcavationClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
dc = ManholeDomesticChamberClient.query.filter_by(RA_Bill_No=RA_Bill_No).all()
self.df_tr = pd.DataFrame([c.serialize() for c in trench])
self.df_mh = pd.DataFrame([c.serialize() for c in mh])
self.df_dc = pd.DataFrame([c.serialize() for c in dc])
# Standardize columns for merging
if not self.df_dc.empty and "MH_NO" in self.df_dc.columns:
self.df_dc.rename(columns={"MH_NO": "Node_No"}, inplace=True)
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)
import pandas as pd
import io
@@ -157,17 +193,27 @@ class SubcontractorBill:
@file_report_bp.route("/client_vs_subcont", methods=["GET", "POST"])
@login_required
def client_vs_all_subcontractor():
<<<<<<< HEAD
=======
# Initialize empty variables for the template
tables = {"tr": None, "mh": None, "dc": None}
ra_val = ""
>>>>>>> 2636f2e (added client RA bill wise download report)
if request.method == "POST":
RA_Bill_No = request.form.get("RA_Bill_No")
ra_val = RA_Bill_No
if not RA_Bill_No:
flash("Please enter RA Bill No.", "danger")
return render_template("generate_comparison_client_vs_subcont.html")
# ... (Keep your existing data fetching and processing logic exactly as is) ...
clientBill = ClientBill()
clientBill.Fetch(RA_Bill_No=RA_Bill_No)
contractorBill = SubcontractorBill()
contractorBill.Fetch(RA_Bill_No=RA_Bill_No)
<<<<<<< HEAD
# Updated QTY lists to match model fields exactly
qty_cols = [
@@ -185,6 +231,13 @@ def client_vs_all_subcontractor():
]
# Aggregate Subcontractor Data safely
=======
# ... (Keep all your qty_cols, mh_dc_qty_cols, and aggregate_df function) ...
qty_cols = [...] # (Your existing list)
mh_dc_qty_cols = [...] # (Your existing list)
>>>>>>> 2636f2e (added client RA bill wise download report)
def aggregate_df(df, group_cols, sum_cols):
if df.empty: return pd.DataFrame()
existing_cols = [c for c in sum_cols if c in df.columns]
@@ -194,12 +247,18 @@ def client_vs_all_subcontractor():
df_sub_mh_grp = aggregate_df(contractorBill.df_mh, ["Location", "MH_NO"], qty_cols)
df_sub_dc_grp = aggregate_df(contractorBill.df_dc, ["Location", "Node_No"], mh_dc_qty_cols)
<<<<<<< HEAD
# Merge and Calculate Difference
=======
>>>>>>> 2636f2e (added client RA bill wise download report)
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"))
df_dc_cmp = clientBill.df_dc.merge(df_sub_dc_grp, on=["Location", "Node_No"], how="left", suffixes=("_Client", "_Sub"))
<<<<<<< HEAD
# Calculate Diffs
=======
>>>>>>> 2636f2e (added client RA bill wise download report)
for df in [df_tr_cmp, df_mh_cmp]:
for col in qty_cols:
if f"{col}_Client" in df.columns:
@@ -209,6 +268,7 @@ def client_vs_all_subcontractor():
if f"{col}_Client" in df_dc_cmp.columns:
df_dc_cmp[f"{col}_Diff"] = df_dc_cmp[f"{col}_Client"].fillna(0) - df_dc_cmp[f"{col}_Sub"].fillna(0)
<<<<<<< HEAD
output = io.BytesIO()
file_name = f"Comparison_RA_Bill_{RA_Bill_No}.xlsx"
with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
@@ -219,4 +279,23 @@ def client_vs_all_subcontractor():
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")
return render_template("generate_comparison_client_vs_subcont.html")
=======
# ACTION LOGIC: Check if user clicked "Download" or just "Preview/Generate"
if request.form.get("action") == "download":
output = io.BytesIO()
file_name = f"Comparison_RA_Bill_{RA_Bill_No}.xlsx"
with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
df_tr_cmp.to_excel(writer, sheet_name="Tr.Ex Comparison", index=False)
df_mh_cmp.to_excel(writer, sheet_name="Mh.Ex Comparison", index=False)
df_dc_cmp.to_excel(writer, sheet_name="MH & DC Comparison", index=False)
output.seek(0)
return send_file(output, download_name=file_name, as_attachment=True, mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")
# If not downloading, convert DFs to HTML for the UI
tables["tr"] = df_tr_cmp.to_html(classes='table table-striped table-hover table-sm', index=False)
tables["mh"] = df_mh_cmp.to_html(classes='table table-striped table-hover table-sm', index=False)
tables["dc"] = df_dc_cmp.to_html(classes='table table-striped table-hover table-sm', index=False)
return render_template("generate_comparison_client_vs_subcont.html", tables=tables, ra_val=ra_val)
>>>>>>> 2636f2e (added client RA bill wise download report)