import pandas as pd import openpyxl # ensure XLSX engine is available import gradio as gr import uuid import os # 7-Day Schedule Converter with explicit iteration and header fill and download support def convert_schedule(file_path, direction): # 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] 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) 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] 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) 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. Save to Excel for download (relative path so Gradio can serve it) output_filename = f"converted_{uuid.uuid4().hex}.xlsx" result.to_excel(output_filename, engine='openpyxl', index=True) # Return both DataFrame and download path return display_df, output_filename # Build Gradio interface and launch immediately for Hugging Face Spaces iface = gr.Interface( fn=convert_schedule, inputs=[ gr.File(label='Upload Weekly Schedule (.xlsx)', file_count='single', type='filepath'), gr.Radio(['A to B', 'B to A'], label='Convert Direction') ], outputs=[ gr.Dataframe(label='Converted Schedule'), gr.File(label='Download Converted Excel') ], title='7-Day Schedule Converter', description=( 'Upload a 7-column weekly schedule (Models vs Days) with merged or single headers, ' 'then flip between Models→Texters or Texters→Models. Download the result as .xlsx.' ), flagging_mode='never' ) # Launch on 0.0.0.0:7860 for Spaces iface.launch(server_name='0.0.0.0', server_port=7860)