Update app.py
Browse files
app.py
CHANGED
@@ -7,12 +7,12 @@ import os
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# 7-Day Schedule Converter with explicit iteration and header fill and download support
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def convert_schedule(file_path, direction):
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# 1. Load
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raw = pd.read_excel(file_path, header=None)
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header1 = raw.iloc[0,1:].astype(object)
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header2 = raw.iloc[1,1:].astype(object)
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# Decide which header row to use: prefer fully populated
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if header2.notna().all() and not header2.str.startswith('Unnamed').any():
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days = header2.tolist()
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data_start = 2
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@@ -28,7 +28,7 @@ def convert_schedule(file_path, direction):
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days.append(last)
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data_start = 1
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# 2. Load actual data
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df = pd.read_excel(
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file_path,
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header=data_start,
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@@ -37,12 +37,13 @@ def convert_schedule(file_path, direction):
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)
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df.columns = [str(day) for day in days]
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# 3. Retain
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day_cols = list(df.columns)
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# 4. Build assignment mapping via explicit iteration
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assignments = {}
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if direction == 'A to B':
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for model in df.index.astype(str):
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for day in day_cols:
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cell = df.at[model, day]
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@@ -52,7 +53,6 @@ def convert_schedule(file_path, direction):
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continue
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assignments.setdefault(texter, {d: [] for d in day_cols})
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assignments[texter][day].append(model)
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# Create result DataFrame
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index = sorted(assignments.keys())
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result = pd.DataFrame(index=index, columns=day_cols)
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for texter, days_map in assignments.items():
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@@ -60,6 +60,7 @@ def convert_schedule(file_path, direction):
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models = days_map.get(day, [])
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result.at[texter, day] = ', '.join(models) if models else 'OFF'
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else:
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for texter in df.index.astype(str):
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for day in day_cols:
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cell = df.at[texter, day]
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@@ -76,24 +77,20 @@ def convert_schedule(file_path, direction):
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texters = days_map.get(day, [])
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result.at[model, day] = ', '.join(texters) if texters else 'OFF'
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result.index.name = None
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result.columns.name = None
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-
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os.makedirs('/mnt/data', exist_ok=True)
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output_filename = f"converted_{uuid.uuid4().hex}.xlsx"
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# Save under /mnt/data so HF Spaces can serve it
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output_path = os.path.join('/mnt/data', output_filename)
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output_filename = f"converted_{uuid.uuid4().hex}.xlsx"
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# Save under /mnt/data so HF Spaces can serve it
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output_path = os.path.join('/mnt/data', output_filename)
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result.to_excel(output_path, engine='openpyxl', index=True)
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# Return both DataFrame and download path
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return result, output_path
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# Gradio UI definition
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def main():
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iface = gr.Interface(
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fn=convert_schedule,
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@@ -115,4 +112,4 @@ def main():
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iface.launch(server_name='0.0.0.0', server_port=7860)
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if __name__ == '__main__':
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main()
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# 7-Day Schedule Converter with explicit iteration and header fill and download support
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def convert_schedule(file_path, direction):
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# 1. Load raw header rows to determine day labels
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raw = pd.read_excel(file_path, header=None)
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header1 = raw.iloc[0, 1:].astype(object)
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header2 = raw.iloc[1, 1:].astype(object)
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# Decide which header row to use: prefer second if fully populated
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if header2.notna().all() and not header2.str.startswith('Unnamed').any():
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days = header2.tolist()
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data_start = 2
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days.append(last)
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data_start = 1
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# 2. Load actual data using resolved day columns
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df = pd.read_excel(
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file_path,
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header=data_start,
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)
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df.columns = [str(day) for day in days]
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# 3. Retain original day column order
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day_cols = list(df.columns)
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# 4. Build assignment mapping via explicit iteration
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assignments = {}
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if direction == 'A to B':
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# Models in rows → Texters as rows
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for model in df.index.astype(str):
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for day in day_cols:
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cell = df.at[model, day]
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continue
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assignments.setdefault(texter, {d: [] for d in day_cols})
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assignments[texter][day].append(model)
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index = sorted(assignments.keys())
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result = pd.DataFrame(index=index, columns=day_cols)
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for texter, days_map in assignments.items():
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models = days_map.get(day, [])
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result.at[texter, day] = ', '.join(models) if models else 'OFF'
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else:
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# Texters in rows → Models as rows
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for texter in df.index.astype(str):
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for day in day_cols:
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cell = df.at[texter, day]
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texters = days_map.get(day, [])
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result.at[model, day] = ', '.join(texters) if texters else 'OFF'
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# 5. Cleanup axis names
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result.index.name = None
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result.columns.name = None
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# 6. Save to Excel for download
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os.makedirs('/mnt/data', exist_ok=True)
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output_filename = f"converted_{uuid.uuid4().hex}.xlsx"
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output_path = os.path.join('/mnt/data', output_filename)
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result.to_excel(output_path, engine='openpyxl', index=True)
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return result, output_path
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# Gradio UI definition
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def main():
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iface = gr.Interface(
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fn=convert_schedule,
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iface.launch(server_name='0.0.0.0', server_port=7860)
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if __name__ == '__main__':
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main()
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