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git issue solved

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This commit is contained in:
anishd100
2026-01-16 12:38:38 +05:30
parent bdc33d2495
commit f73f6524e8
14 changed files with 435 additions and 710 deletions
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59
app/routes/dashboard.py
View File

@@ -1,11 +1,68 @@
import matplotlib
matplotlib.use("Agg")
from flask import Blueprint, render_template, session, redirect, url_for
import matplotlib.pyplot as plt
import io
import base64
dashboard_bp = Blueprint("dashboard", __name__, url_prefix="/dashboard")
# charts
def plot_to_base64():
img = io.BytesIO()
plt.savefig(img, format="png", bbox_inches="tight")
plt.close()
img.seek(0)
return base64.b64encode(img.getvalue()).decode()
# bar chart
def bar_chart():
categories = ["Trench", "Manhole", "Pipe Laying", "Restoration"]
values = [120, 80, 150, 60]
plt.figure()
plt.bar(categories, values)
plt.title("Work Category Report")
plt.xlabel("Category")
plt.ylabel("Count")
return plot_to_base64()
# Pie chart
def pie_chart():
labels = ["Completed", "In Progress", "Pending"]
sizes = [55, 20, 25]
plt.figure()
plt.pie(sizes, labels=labels, autopct="%1.1f%%", startangle=140)
plt.title("Project Status")
return plot_to_base64()
# Histogram chart
def histogram_chart():
daily_work = [5, 10, 15, 20, 20, 25, 30, 35, 40, 45, 50]
plt.figure()
plt.hist(daily_work, bins=5)
plt.title("Daily Work Distribution")
plt.xlabel("Work Units")
plt.ylabel("Frequency")
return plot_to_base64()
# Dashboaed page
@dashboard_bp.route("/")
def dashboard():
if not session.get("user_id"):
return redirect(url_for("auth.login"))
return render_template("dashboard.html", title="Dashboard")
return render_template(
"dashboard.html",
title="Dashboard",
bar_chart=bar_chart(),
pie_chart=pie_chart(),
histogram=histogram_chart()
)

105
app/routes/file_report.py
View File

@@ -9,66 +9,72 @@ 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
from app.models.laying_model import Laying
# --- BLUEPRINT DEFINITION ---
file_report_bp = Blueprint("file_report", __name__, url_prefix="/file")
# --- DATA WRAPPERS ---
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])
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)
class SubcontractorBill:
def __init__(self):
self.df_tr = pd.DataFrame()
self.df_mh = pd.DataFrame()
self.df_dc = pd.DataFrame()
self.df_lay = pd.DataFrame()
def Fetch(self, RA_Bill_No=None, subcontractor_id=None):
filters = {}
if subcontractor_id:
filters["subcontractor_id"] = subcontractor_id
if RA_Bill_No:
filters["RA_Bill_No"] = RA_Bill_No
trench = TrenchExcavation.query.filter_by(**filters).all()
mh = ManholeExcavation.query.filter_by(**filters).all()
dc = ManholeDomesticChamber.query.filter_by(**filters).all()
lay= Laying.query.filter_by(**filters).all()
print("Laying datas :",lay)
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])
self.df_lay = pd.DataFrame([c.serialize() for c in lay])
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]:
for df in [self.df_tr, self.df_mh, self.df_dc, self.df_lay]:
if not df.empty:
df.drop(columns=drop_cols, errors="ignore", inplace=True)
# --- ROUTES ---
# @file_report_bp.route("/report", methods=["GET", "POST"])
# @login_required
# def report_file():
@@ -77,14 +83,14 @@ class SubcontractorBill:
# subcontractor_id = request.form.get("subcontractor_id")
# ra_bill_no = request.form.get("ra_bill_no")
# download_all = request.form.get("download_all") == "true"
# if not subcontractor_id:
# flash("Please select a subcontractor.", "danger")
# return render_template("report.html", subcontractors=subcontractors)
# subcontractor = Subcontractor.query.get(subcontractor_id)
# bill_gen = SubcontractorBill()
# if download_all:
# bill_gen.Fetch(subcontractor_id=subcontractor_id)
# file_name = f"{subcontractor.subcontractor_name}_ALL_BILLS.xlsx"
@@ -94,11 +100,11 @@ class SubcontractorBill:
# 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("No data found for this selection.", "warning")
# return render_template("report.html", subcontractors=subcontractors)
# output = io.BytesIO()
# with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
# bill_gen.df_tr.to_excel(writer, index=False, sheet_name="Tr.Ex.")
@@ -106,7 +112,7 @@ class SubcontractorBill:
# 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)
@file_report_bp.route("/report", methods=["GET", "POST"])
@login_required
@@ -116,20 +122,20 @@ def report_file():
selected_sc_id = None
ra_bill_no = None
download_all = False
if request.method == "POST":
subcontractor_id = request.form.get("subcontractor_id")
ra_bill_no = request.form.get("ra_bill_no")
download_all = request.form.get("download_all") == "true"
action = request.form.get("action")
action = request.form.get("action")
if not subcontractor_id:
flash("Please select a subcontractor.", "danger")
return render_template("report.html", subcontractors=subcontractors)
subcontractor = Subcontractor.query.get(subcontractor_id)
bill_gen = SubcontractorBill()
if download_all:
bill_gen.Fetch(subcontractor_id=subcontractor_id)
file_name = f"{subcontractor.subcontractor_name}_ALL_BILLS.xlsx"
@@ -139,11 +145,11 @@ def report_file():
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("No data found for this selection.", "warning")
return render_template("report.html", subcontractors=subcontractors)
# If download is clicked, return file immediately
if action == "download":
output = io.BytesIO()
@@ -151,57 +157,59 @@ def report_file():
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")
bill_gen.df_lay.to_excel(writer, index=False, sheet_name="Laying")
output.seek(0)
return send_file(output, download_name=file_name, as_attachment=True)
# PREVIEW LOGIC: Convert DataFrames to HTML for the 'tables' variable
# We add bootstrap classes directly to the pandas output
table_classes = "table table-hover table-bordered table-striped"
tables = {
"tr": bill_gen.df_tr.to_html(classes=table_classes, index=False),
"mh": bill_gen.df_mh.to_html(classes=table_classes, index=False),
"dc": bill_gen.df_dc.to_html(classes=table_classes, index=False)
"dc": bill_gen.df_dc.to_html(classes=table_classes, index=False),
"lay": bill_gen.df_lay.to_html(classes=table_classes, index=False)
}
selected_sc_id = subcontractor_id
return render_template(
"report.html",
subcontractors=subcontractors,
"report.html",
subcontractors=subcontractors,
tables=tables, # This now matches your HTML
selected_sc_id=selected_sc_id,
ra_bill_no=ra_bill_no,
download_all=download_all
)
@file_report_bp.route("/client_vs_subcont", methods=["GET", "POST"])
@login_required
def client_vs_all_subcontractor():
tables = {"tr": None, "mh": None, "dc": None}
ra_val = ""
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", tables=tables, ra_val=ra_val)
clientBill = ClientBill()
clientBill.Fetch(RA_Bill_No=RA_Bill_No)
contractorBill = SubcontractorBill()
contractorBill.Fetch(RA_Bill_No=RA_Bill_No)
# --- SAFETY CHECK: Verify data exists before merging ---
if clientBill.df_tr.empty and clientBill.df_mh.empty:
flash(f"No Client records found for RA Bill {RA_Bill_No}", "warning")
return render_template("generate_comparison_client_vs_subcont.html", tables=tables, ra_val=ra_val)
qty_cols = [...] # (Keep your existing list)
mh_dc_qty_cols = [...] # (Keep your existing list)
def aggregate_df(df, group_cols, sum_cols):
if df.empty:
if df.empty:
# Create an empty DF with the correct columns to avoid Merge/Key Errors
return pd.DataFrame(columns=group_cols + sum_cols)
existing_cols = [c for c in sum_cols if c in df.columns]
@@ -210,18 +218,18 @@ def client_vs_all_subcontractor():
if col not in df.columns:
df[col] = "N/A" # Fill missing join keys
return df.groupby(group_cols, as_index=False)[existing_cols].sum()
# Aggregate data
df_sub_tr_grp = aggregate_df(contractorBill.df_tr, ["Location", "MH_NO"], qty_cols)
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)
# --- FINAL MERGE LOGIC ---
# We check if "Location" exists in the client data. If not, we add it to prevent the KeyError.
for df_client in [clientBill.df_tr, clientBill.df_mh, clientBill.df_dc]:
if not df_client.empty and "Location" not in df_client.columns:
df_client["Location"] = "Unknown"
try:
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"))
@@ -229,12 +237,13 @@ def client_vs_all_subcontractor():
except KeyError as e:
flash(f"Merge Error: Missing column {str(e)}. Check if 'Location' is defined in your database models.", "danger")
return render_template("generate_comparison_client_vs_subcont.html", tables=tables, ra_val=ra_val)
# ... (Rest of your calculation and download logic) ...
# Convert to HTML for preview
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)
return render_template("generate_comparison_client_vs_subcont.html", tables=tables, ra_val=ra_val)