def dump_map_to_db(d_map):
session = Session()
for t in d_map:
x, y, v = t
entry = DataMap(x=x, y=y, value=v)
session.merge(entry)
session.commit()
#Base.metadata.create_all(engine)
def actualizar_db():
print("Updating database using the Google Sheets API.")
session = Session()
service = setup_service()
generacional = get_generational(
service, "1USCGq_T6GfEC2662Z6iRrSzc1AAoMHM4W13ATAvFs54")
# generacional = [
# ["Representación", "Nombre", "7/5/20", "5/6/20", "1/7/20", "4/7/20", "06/8/20"],
# ["2020", "Agustín Covarrubias", "P", "P", "P", "P", "P"],
# ["2020", "Katherine Catoni", "P", "P", "P", "P", "P"],
# ["2020", "Rafael Rencoret", "P", "P", "P", "P", "P"],
# ["2019", "Tania Hinostroza", "P", "P", "P", "P", "P"],
# ["2019", "Florencia Sciaraffia", "P", "P", "P", "P", "P"],
# ["2019", "Martín Illanes", "P", "P", "P", "P", "P"],
# ["2018", "Joaquín Castaños", "P", "P", "J", "P", "P"],
# ["2018", "Elizabeth Hermosilla", "P", "P", "J", "P", "P"],
# ["2018", "Pedro Becker", "P", "P", "P", "P", "P"],
# ["2017", "Camila López", "P", "P", "P", "P", "P"],
# ["2017", "Francisco Úrzua", "P", "P", "P", "P", "O"],
# ["2017", "Bartolomé Peirano", "P", "P", "P", "P", "P"],
# ["2016", "Manuel Jara", "P", "P", "P", "P", "P"],
# ["2016", "Ivania Arias", "P", "P", "P", "P", "P"],
# ["2016", "María Belén Echenique", "P", "P", "P", "P", "P"],
# ["2015 y ant.", "Denise Cariaga", "P", "P", "P", "P", "P"],
# ["2015 y ant.", "Graciela Hernández", "P", "P", "P", "P", "P"],
# ["2015 y ant.", "Caterin Pinto", "P", "P", "P", "P", "O"],
# ["CAI", "Isa Oyarzo", "P", "P", "P", "P", "P"],
# ["CAI", "Thomas Struszer", "P", "P", "P", "P", "P"],
# ["CAI", "Agustín Cox", "P", "P", "P", "P", "P"],
# ["CAI", "Claudio Escobar", "P", "P", "P", "P", "P"],
# ["CAI", "Javiera Dawabe", "P", "P", "P", "P", "P"],
# ["CT", "José Pereira", "P", "P", "P", "A", "P"],
# ["CT", "Trinidad Larraín", "P", "P", "P", "P", "A"],
# ["CT", "María Ignacia Henriquez", "P", "P", "P", "J", "P"],
# ["CT", "Tomás Álvarez", "A", "A", "A", "A", "A"],
# ["CT", "Magdalena Merino", "P", "P", "P", "P", "P"],
# ]
# academico = get_academic(service, "1ditHP6pQUyAx73t_76csuJUH4t4TPqlRa5CHHWRXz3o")
fechas_existentes = [
sesion.fecha for sesion in session.query(SesionConsejo).all()
]
fechas_en_tabla = [convertir_fecha(fecha) for fecha in generacional[0][2:]]
fechas_por_agregar = [
fecha for fecha in fechas_en_tabla if fecha not in fechas_existentes
]
tgeneracional = transpose(generacional)
nombres = tgeneracional[1][1:]
representaciones = transformar_representaciones(tgeneracional[0][1:])
sesiones = {}
representantes = {}
for indice, nombre in enumerate(nombres):
representacion = representaciones[indice]
tipo = representacion[0]
representa = representacion[1]
representantes[nombre] = Representante(nombre=nombre,
representa=representa,
tipo=tipo)
for fecha in fechas_en_tabla:
sesiones[fecha] = SesionConsejo(fecha=fecha)
for indice_y, fecha in enumerate(fechas_por_agregar):
y = indice_y + 2
for indice_x, representante in enumerate(tgeneracional[indice_y][1:]):
x = indice_x + 1
nombre = nombres[x - 1]
asistio = tgeneracional[y][x]
representante = representantes[nombre]
sesion = sesiones[fecha]
sesion.add_representantes([(representante, asistio)])
for representante in representantes.values():
session.merge(representante)
for sesion in sesiones.values():
session.merge(sesion)
session.commit()
session.close()
def set_stored_value(tile, value):
x, y = tile
session = Session()
entry = DataMap(x=x, y=y, value=value)
session.merge(entry)
session.commit()
