def execute(self, environment):
result = jsonMode.extractTable(instruction.dbtemp, self.name)
if result == None:
instruction.semanticErrors.append(
[
"La tabla "
+ str(self.name)
+ " no pertenece a la base de datos "
+ instruction.dbtemp,
self.row,
]
)
instruction.syntaxPostgreSQL.append(
"Error: 42P01: la relacion "
+ instruction.dbtemp
+ "."
+ str(self.name)
+ " no existe"
)
return "FATAL ERROR TABLE ID"
# Almacena una lista con con el nombre y tipo de cada columna
lst = Struct.extractColumns(instruction.dbtemp, self.name)
columns = [l.name for l in lst]
newColumns = [self.name + "." + col for col in columns]
df = pd.DataFrame(result, columns=newColumns)
environment.addTable(self.name)
tempTypes = {}
for i in range(len(newColumns)):
tempTypes[newColumns[i]] = lst[i].type
return [df, tempTypes]
def execute(self, environment):
Index = File.importFile("Index")
exists = Index.get(self.name)
result = []
if not exists:
if self.exists:
result.append("El INDEX : " + self.name + " no existe")
else:
result.append("Error: El INDEX : " + self.name + " no existe")
return result
if not self.id:
exists = Index.get(self.newName)
if not exists:
Index[self.newName] = Index.pop(self.name)
result.append("Se cambio el nombre del INDEX : " + self.name +
" a " + self.newName)
else:
result.append("Error: El INDEX : " + self.newName +
" ya existe")
else:
column = self.newName
index = Index[self.name]
for c in index["Columns"]:
if c["Name"] == column:
if type(self.id) == int:
table = index["Table"]
columns = Struct.extractColumns(
instruction.dbtemp, table)
if columns:
if self.id > len(columns):
result.append("Error fatal: INDEX " +
self.name +
"numero de columna invalido")
else:
col = columns[self.id - 1].name
c["Name"] = col
result.append("INDEX : " + self.name +
" cambio la columna " + column +
" por " + col)
else:
result.append("Error fatal: INDEX " + self.name)
else:
c["Name"] = self.id
result.append("INDEX : " + self.name +
" cambio la columna " + column +
" por " + self.id)
Index[self.name] = index
break
if result == []:
result.append("Error fatal: INDEX " + self.name +
" columna invalida : " + self.newName)
File.exportFile(Index, "Index")
return result
def execute(self, environment):
result = jsonMode.extractTable(dbtemp, self.name)
if result == None:
return "FATAL ERROR TABLE ID"
# Almacena una lista con con el nombre y tipo de cada columna
lst = Struct.extractColumns(dbtemp, self.name)
columns = [l.name for l in lst]
newColumns = [self.name + "." + col for col in columns]
df = pd.DataFrame(result, columns=newColumns)
environment.addTable(self.name)
return df
def ambiguityBetweenColumns(self, column):
"""
Encarga de buscar ambiguedad de una columna entre todas las tablas de
la clausula FROM
"""
env = self
i = 0
table = ""
for t in env.tables:
lst = Struct.extractColumns(env.database, t)
for l in lst:
if l.name == column:
i += 1
table = t
if i > 1:
print("Error: Existe ambiguedad entre la culumna:", column)
return
return table
def execute(self, environment):
result = jsonMode.extractTable(dbtemp, self.name)
if result == None:
sintaxPostgreSQL.insert(
len(sintaxPostgreSQL),
"Error: 42P01: la relacion " + dbtemp + "." + str(self.name) +
" no existe",
)
return "FATAL ERROR TABLE ID"
# Almacena una lista con con el nombre y tipo de cada columna
lst = Struct.extractColumns(dbtemp, self.name)
columns = [l.name for l in lst]
newColumns = [self.name + "." + col for col in columns]
df = pd.DataFrame(result, columns=newColumns)
environment.addTable(self.name)
tempTypes = {}
for i in range(len(newColumns)):
tempTypes[newColumns[i]] = lst[i].type
return [df, tempTypes]
