mirror of
https://github.com/marcogll/telegram_new_socias.git
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4e2b6335a6
This commit introduces a three-database architecture to the application, as specified in the `db_logic.md` file. The changes include: - A SQL initialization script (`db/init/init.sql`) to create the `USERS_ALMA`, `vanity_hr`, and `vanity_attendance` databases and their respective tables. - SQLAlchemy models for all tables, organized into separate files within the `models` directory. - Refactoring of the database connection logic in `modules/database.py` to support connections to all three databases. - Creation of a `modules/logger.py` to handle request logging to the `USERS_ALMA` database. - Updates to `docker-compose.yml` to mount the initialization script and build the bot image locally. - Updates to `.env.example` to include the new database environment variables. - Restoration of the data dictionary to `db_tasks.md`.
93 lines
3.6 KiB
Python
93 lines
3.6 KiB
Python
from sqlalchemy import create_engine, Column, Integer, String, Enum, TIMESTAMP, Date, Text, BigInteger, DateTime
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from sqlalchemy.dialects.mysql import TINYINT
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.sql import func
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from sqlalchemy import ForeignKey
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from sqlalchemy.orm import relationship
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Base = declarative_base()
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class DataEmpleadas(Base):
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__tablename__ = 'data_empleadas'
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__table_args__ = {'schema': 'vanity_hr'}
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numero_empleado = Column(String(15), primary_key=True)
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puesto = Column(String(50))
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sucursal = Column(String(50))
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fecha_ingreso = Column(Date)
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estatus = Column(String(15))
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nombre_completo = Column(String(150))
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nombre = Column(String(50))
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nombre_preferido = Column(String(50))
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apellido_paterno = Column(String(50))
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apellido_materno = Column(String(50))
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fecha_nacimiento = Column(Date)
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lugar_nacimiento = Column(String(50))
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rfc = Column(String(13), unique=True)
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curp = Column(String(18), unique=True)
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email = Column(String(100))
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telefono_celular = Column(String(15))
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domicilio_calle = Column(String(255))
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domicilio_numero_exterior = Column(String(10))
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domicilio_numero_interior = Column(String(10))
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domicilio_numero_texto = Column(String(50))
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domicilio_colonia = Column(String(255))
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domicilio_codigo_postal = Column(String(10))
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domicilio_ciudad = Column(String(100))
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domicilio_estado = Column(String(50))
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domicilio_completo = Column(String(255))
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emergencia_nombre = Column(String(100))
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emergencia_telefono = Column(String(15))
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emergencia_parentesco = Column(String(50))
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referencia_1_nombre = Column(String(100))
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referencia_1_telefono = Column(String(15))
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referencia_1_tipo = Column(String(20))
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referencia_2_nombre = Column(String(100))
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referencia_2_telefono = Column(String(15))
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referencia_2_tipo = Column(String(20))
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referencia_3_nombre = Column(String(100))
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referencia_3_telefono = Column(String(15))
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referencia_3_tipo = Column(String(20))
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origen_registro = Column(String(50))
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telegram_usuario = Column(String(50))
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telegram_chat_id = Column(BigInteger)
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bot_version = Column(String(20))
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fecha_registro = Column(DateTime)
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tiempo_registro_minutos = Column(Integer)
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fecha_procesamiento = Column(DateTime)
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class Vacaciones(Base):
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__tablename__ = 'vacaciones'
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__table_args__ = {'schema': 'vanity_hr'}
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vacaciones_id = Column(String(50), primary_key=True)
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numero_empleado = Column(String(15), ForeignKey('vanity_hr.data_empleadas.numero_empleado'))
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tipo_solicitud = Column(String(20))
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estatus = Column(Enum('pendiente', 'aprobado', 'rechazado', 'cancelado'))
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fecha_inicio = Column(Date)
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fecha_fin = Column(Date)
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dias_solicitados = Column(Integer)
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dias_habiles = Column(Integer)
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motivo = Column(Text)
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con_goce_sueldo = Column(TINYINT)
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fecha_solicitud = Column(DateTime)
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fecha_procesamiento = Column(DateTime)
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origen = Column(String(20))
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afecta_nomina = Column(TINYINT)
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empleada = relationship("DataEmpleadas")
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class Permisos(Base):
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__tablename__ = 'permisos'
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__table_args__ = {'schema': 'vanity_hr'}
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permiso_id = Column(String(50), primary_key=True)
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numero_empleado = Column(String(15), ForeignKey('vanity_hr.data_empleadas.numero_empleado'))
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categoria = Column(Enum('PERSONAL', 'MEDICO', 'OFICIAL', 'OTRO'))
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estatus = Column(Enum('pendiente', 'aprobado', 'rechazado', 'cancelado'))
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fecha_inicio = Column(Date)
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horario_especifico = Column(String(50))
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motivo = Column(Text)
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con_goce_sueldo = Column(TINYINT)
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afecta_nomina = Column(TINYINT)
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empleada = relationship("DataEmpleadas")
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