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import gradio as gr
import pandas as pd
import tempfile
import os
month_dict = {
"January": 1, "February": 2, "March": 3, "April": 4,
"May": 5, "June": 6, "July": 7, "August": 8,
"September": 9, "October": 10, "November": 11, "December": 12
}
ATTENDANCE_MAP = {
'P': 'Present',
'WO': 'Weekend Off',
'WFH': 'WFH',
'A': 'Absent'
}
def format_date(date_val, col_index, start_month_num, switch_col, end_month_num):
# Handles wrap-around of months in column headers
if isinstance(date_val, (int, float)) or (isinstance(date_val, str) and date_val.isdigit()):
day = int(date_val)
if col_index < switch_col:
month = start_month_num
else:
month = end_month_num
return f'2025-{month:02d}-{day:02d}'
return str(date_val)
def attendance_converter(
uploaded_file,
company_name,
department,
shift,
start_month,
end_month,
output_format
):
if uploaded_file is None:
return None
with tempfile.NamedTemporaryFile(delete=False, suffix='.xlsx') as tmp:
tmp.write(uploaded_file) # <-- fix is here!
tmp_path = tmp.name
df = pd.read_excel(tmp_path)
os.unlink(tmp_path)
date_cols = df.columns[4:]
output_rows = []
auto_id = 81
switch_col = 11 # Adjust if your date columns change!
start_month_num = month_dict[start_month]
end_month_num = month_dict[end_month]
for _, row in df.iterrows():
emp_id = row['Emp.ID']
emp_name = row["Employee's Name"]
for date_idx, date_col in enumerate(date_cols):
code = str(row[date_col]).strip()
status = ATTENDANCE_MAP.get(code, '')
if not status:
continue
attendance_date = format_date(date_col, date_idx, start_month_num, switch_col, end_month_num)
# --- Skip Weekend Off ---
if status == 'Weekend Off':
continue
working_hours = 0.0
in_time = ''
out_time = ''
leave_type = ''
if status == 'Present':
working_hours = 8.01
in_time = f"{attendance_date} 10:01:01"
out_time = f"{attendance_date} 18:01:29"
elif status == 'WFH':
status = "On Leave"
leave_type = "Work From Home"
working_hours = 8.0
output_rows.append({
"ID": f'HR-ATT-2025-000{auto_id}',
"Series": "HR-ATT-.YYYY.-",
"Employee": emp_id,
"Status": status,
"Attendance Date": attendance_date,
"Company": company_name,
"Employee Name": emp_name,
"Working Hours": working_hours,
"Leave Type": leave_type,
"Leave Application": "",
"Department": department,
"Shift": shift,
"In Time": in_time,
"Out Time": out_time
})
auto_id += 1
out_df = pd.DataFrame(output_rows)
if output_format == "Excel (.xlsx)":
with tempfile.NamedTemporaryFile(delete=False, suffix='.xlsx') as out_buf:
out_df.to_excel(out_buf.name, index=False)
out_buf.seek(0)
data = out_buf.read()
filename = "attendance_converted.xlsx"
os.unlink(out_buf.name)
return (filename, data)
else:
with tempfile.NamedTemporaryFile(delete=False, suffix='.csv') as out_buf:
out_df.to_csv(out_buf.name, index=False)
out_buf.seek(0)
data = out_buf.read()
filename = "attendance_converted.csv"
os.unlink(out_buf.name)
return (filename, data)
# --------------- Gradio UI -----------------
def gradio_ui():
with gr.Blocks() as demo:
gr.Markdown(
"""
# Attendance Converter
1. Upload your attendance Excel file (in the original format).
2. Select start and end month.
3. Choose output format.
4. Click Convert and download your file.
"""
)
with gr.Row():
company_name = gr.Textbox(label="Company Name", value="Omkara Infotech Pvt Ltd")
department = gr.Textbox(label="Department (optional)", value="")
shift = gr.Textbox(label="Shift", value="Day Shift")
with gr.Row():
start_month = gr.Dropdown(
choices=list(month_dict.keys()), value="May", label="Start Month"
)
end_month = gr.Dropdown(
choices=list(month_dict.keys()), value="June", label="End Month"
)
output_format = gr.Radio(
["Excel (.xlsx)", "CSV (.csv)"],
label="Download Format",
value="Excel (.xlsx)"
)
uploaded_file = gr.File(label="Upload Attendance Excel (.xlsx)", type="binary")
convert_btn = gr.Button("Convert & Download")
file_output = gr.File(label="Download Converted File")
def wrap_attendance_converter(uploaded_file, company_name, department, shift, start_month, end_month, output_format):
result = attendance_converter(
uploaded_file,
company_name,
department,
shift,
start_month,
end_month,
output_format
)
if result is None:
return None
filename, data = result
# Return file path for gr.File output
with tempfile.NamedTemporaryFile(delete=False, suffix=os.path.splitext(filename)[1]) as temp_f:
temp_f.write(data)
temp_f.flush()
return temp_f.name
convert_btn.click(
wrap_attendance_converter,
inputs=[uploaded_file, company_name, department, shift, start_month, end_month, output_format],
outputs=file_output
)
return demo
# Run the app
if __name__ == "__main__":
demo = gradio_ui()
demo.launch(share=True)
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