app.py

import pandas as pd
import openpyxl
import gradio as gr
import tempfile
import os
from datetime import datetime

def convert_schedule(file_path, direction):
    if file_path is None:
        return pd.DataFrame({'Error': ['Please upload a file']}), None
        
    try:
        # 1. Load raw header rows to determine day labels
        raw = pd.read_excel(file_path, header=None)
        header1 = raw.iloc[0, 1:].astype(object)
        header2 = raw.iloc[1, 1:].astype(object)

        # Decide which header row to use: prefer second if fully populated
        if header2.notna().all() and not header2.str.startswith('Unnamed').any():
            days = header2.tolist()
            data_start = 2
        else:
            # Forward-fill merged first-row headers
            days = []
            last = None
            for val in header1:
                if pd.isna(val) or str(val).startswith('Unnamed'):
                    days.append(last)
                else:
                    last = str(val)
                    days.append(last)
            data_start = 1

        # 2. Load actual data using resolved day columns
        df = pd.read_excel(
            file_path,
            header=data_start,
            index_col=0,
            usecols=[0] + list(range(1, len(days) + 1))
        )
        df.columns = [str(day) for day in days]

        # 3. Retain original day column order
        day_cols = list(df.columns)

        # 4. Build assignment mapping via explicit iteration
        assignments = {}
        if direction == 'A to B':
            # Models in rows → Texters as rows
            for model in df.index.astype(str):
                for day in day_cols:
                    cell = df.at[model, day]
                    if pd.isna(cell):
                        continue
                    for texter in str(cell).split(','):
                        texter = texter.strip()
                        if not texter or texter.lower() in ['nan', 'none', '']:
                            continue
                        assignments.setdefault(texter, {d: [] for d in day_cols})
                        assignments[texter][day].append(model)
            
            if not assignments:
                result = pd.DataFrame(columns=day_cols)
                first_col_name = 'Texter'
            else:
                index = sorted(assignments.keys())
                result = pd.DataFrame(index=index, columns=day_cols)
                first_col_name = 'Texter'
                for texter, days_map in assignments.items():
                    for day in day_cols:
                        models = days_map.get(day, [])
                        result.at[texter, day] = ', '.join(models) if models else 'OFF'
        else:
            # Texters in rows → Models as rows
            for texter in df.index.astype(str):
                for day in day_cols:
                    cell = df.at[texter, day]
                    if pd.isna(cell):
                        continue
                    for model in str(cell).split(','):
                        model = model.strip()
                        if not model or model.lower() in ['nan', 'none', '']:
                            continue
                        assignments.setdefault(model, {d: [] for d in day_cols})
                        assignments[model][day].append(texter)
            
            if not assignments:
                result = pd.DataFrame(columns=day_cols)
                first_col_name = 'Model'
            else:
                index = sorted(assignments.keys())
                result = pd.DataFrame(index=index, columns=day_cols)
                first_col_name = 'Model'
                for model, days_map in assignments.items():
                    for day in day_cols:
                        texters = days_map.get(day, [])
                        result.at[model, day] = ', '.join(texters) if texters else 'OFF'

        # 5. Cleanup axis names
        result.index.name = None
        result.columns.name = None

        # For display, include index as a column
        display_df = result.reset_index().rename(columns={'index': first_col_name})

        # 6. Create downloadable file with proper path handling
        result_clean = result.copy().fillna('OFF')
        
        # Ensure all values are strings
        for col in result_clean.columns:
            result_clean[col] = result_clean[col].astype(str)

        # Create download file in a way that works with Gradio
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        output_filename = f"converted_schedule_{timestamp}.xlsx"
        
        # Use tempfile.NamedTemporaryFile but keep it open
        temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.xlsx', prefix='schedule_')
        temp_path = temp_file.name
        temp_file.close()
        
        # Save to the temporary file
        download_df = result_clean.reset_index().rename(columns={'index': first_col_name})
        download_df.to_excel(temp_path, sheet_name='Converted Schedule', index=False, engine='openpyxl')

        return display_df, temp_path

    except Exception as e:
        error_msg = f"Error processing file: {str(e)}"
        print(f"DEBUG: {error_msg}")  # For debugging
        error_df = pd.DataFrame({'Error': [error_msg]})
        return error_df, None

# Create the interface with better error handling
def create_interface():
    iface = gr.Interface(
        fn=convert_schedule,
        inputs=[
            gr.File(
                label='Upload Weekly Schedule (.xlsx)', 
                file_count='single', 
                file_types=['.xlsx', '.xls']
            ),
            gr.Radio(
                ['A to B', 'B to A'], 
                label='Convert Direction', 
                value='A to B',
                info='A to B: Models→Texters, B to A: Texters→Models'
            )
        ],
        outputs=[
            gr.Dataframe(label='Converted Schedule (Preview)', wrap=True),
            gr.File(label='Download Converted Schedule')
        ],
        title='🔄 7-Day Schedule Converter',
        description=(
            '**How to use:**\n'
            '1. Upload your Excel file with a 7-day schedule\n'
            '2. Choose conversion direction\n'
            '3. Preview the result and download the converted file\n\n'
            '*Supports merged headers and handles Models ↔ Texters conversion*'
        ),
        flagging_mode='never',
        allow_flagging='never'
    )
    return iface

if __name__ == "__main__":
    iface = create_interface()
    iface.launch(
        server_name='0.0.0.0', 
        server_port=7860,
        share=False,
        debug=True
    )