Consultoría Alcaraz Salazar
a718592291
- Frontend React (SKEEN Brand) con Vite, TypeScript, Tailwind - Frontend Homenest (versión alternativa) - Módulos Odoo 17 custom (citas, pacientes, monedero, pagos, ventas, inventario, whatsapp) - WACRM fork (Next.js 16 + Supabase) - Hermes + Bridge + Skills (Qwen3.6 via Nan Builders) - Scripts de migración y operación - Documentación extensiva en docs/
44 lines
1.1 KiB
Python
Executable File
44 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Post-procesa citas.csv para mapear IDs numéricos de médicos a nombres reales.
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"""
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import csv
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from pathlib import Path
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DATA_DIR = Path('/root/migracion/datos')
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medicos_map = {
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'32': 'Dra. Alejandra Ramos',
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'33': 'Dra. Lidia Martinez',
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'46': 'Dra. Fernanda Cerecer',
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'49': 'RODRIGUEZ FRIDA',
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'54': 'Dr. Benjamín Adrián',
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'79': 'XIMENA',
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'80': 'ELY',
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}
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def main():
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path = DATA_DIR / 'citas.csv'
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if not path.exists():
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print(f'No existe {path}')
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return
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rows = []
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with open(path, newline='', encoding='utf-8') as f:
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reader = csv.DictReader(f)
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for row in reader:
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doctor = (row.get('doctor_nombre') or '').strip()
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if doctor in medicos_map:
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row['doctor_nombre'] = medicos_map[doctor]
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rows.append(row)
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with open(path, 'w', newline='', encoding='utf-8') as f:
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writer = csv.DictWriter(f, fieldnames=rows[0].keys())
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writer.writeheader()
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writer.writerows(rows)
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print(f'Post-procesadas {len(rows)} citas')
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if __name__ == '__main__':
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main()
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