def analize(self):
entrada = self.txtEntrada.get("1.0", END) # variable de almacenamiento de la entrada
result = grammar.parse(entrada)
self.lexicalErrors = grammar.returnLexicalErrors()
self.sintacticErrors = grammar.returnSintacticErrors()
self.semanticErrors = grammar.returnSemanticErrors()
self.postgreSQL = grammar.returnPostgreSQLErrors()
if len(self.lexicalErrors) + len(self.sintacticErrors) + len(self.semanticErrors) > 0:
tkinter.messagebox.showerror( title="Error", message="El archivo contiene errores" )
def analize(self):
self.tabla.pack_forget()
self.tabla_scroll.pack_forget()
self.tabla_scrollX.pack_forget()
entrada = self.txtEntrada.get(
"1.0", END) # variable de almacenamiento de la entrada
result = grammar.parse(entrada)
self.lexicalErrors = grammar.returnLexicalErrors()
self.sintacticErrors = grammar.returnSintacticErrors()
if len(self.lexicalErrors) + len(self.sintacticErrors) > 0:
tkinter.messagebox.showerror(title="Error",
message="El archivo contiene errores")
def parser(input):
"""
docstring
"""
grammar.parse(input)
lexerErrors = grammar.returnLexicalErrors()
syntaxErrors = grammar.returnSyntacticErrors()
obj = {
"lexical": lexerErrors,
"syntax": syntaxErrors,
}
astReport()
BnfGrammar.grammarReport()
return obj
def execution(input):
"""
docstring
"""
querys = []
messages = []
result = grammar.parse(input)
lexerErrors = grammar.returnLexicalErrors()
syntaxErrors = grammar.returnSyntacticErrors()
if len(lexerErrors) + len(syntaxErrors) == 0 and result:
for v in result:
if isinstance(v, Select):
r = v.execute(None)
if r:
list_ = r[0].values.tolist()
labels = r[0].columns.tolist()
querys.append([labels, list_])
messages.append("Select ejecutado con exito.")
else:
querys.append(None)
messages.append("Error: Select.")
print(r)
else:
r = v.execute(None)
print(r)
messages.append(r)
semanticErrors = grammar.returnSemanticErrors()
PostgresErrors = grammar.returnPostgreSQLErrors()
symbols = symbolReport()
obj = {
"messages": messages,
"querys": querys,
"lexical": lexerErrors,
"syntax": syntaxErrors,
"semantic": semanticErrors,
"postgres": PostgresErrors,
"symbols": symbols,
}
astReport()
#BnfGrammar.grammarReport()
try:
if len(querys) == 1:
if len(querys[0][1]) == 1:
if len(querys[0][1][0]) == 1:
return querys[0][1][0][0]
except:
return obj
return obj
def execution(input):
"""
docstring
"""
querys = []
messages = []
result = grammar.parse(input)
with open("obj.pickle", "wb") as f:
pickle.dump(result, f)
lexerErrors = grammar.returnLexicalErrors()
syntaxErrors = grammar.returnSyntacticErrors()
if len(lexerErrors) + len(syntaxErrors) == 0 and result:
for v in result:
if isinstance(v, inst.Select) or isinstance(
v, inst.SelectOnlyParams):
r = v.execute(None)
if r:
list_ = r[0].values.tolist()
labels = r[0].columns.tolist()
querys.append([labels, list_])
else:
querys.append(None)
else:
r = v.execute(None)
messages.append(r)
semanticErrors = grammar.returnSemanticErrors()
PostgresErrors = grammar.returnPostgreSQLErrors()
symbols = symbolReport()
obj = {
"messages": messages,
"querys": querys,
"lexical": lexerErrors,
"syntax": syntaxErrors,
"semantic": semanticErrors,
"postgres": PostgresErrors,
"symbols": symbols,
}
astReport()
BnfGrammar.grammarReport()
return obj
def getc3d(input):
"""
docstring
"""
querys = []
messages = []
result = grammar.parse(input)
lexerErrors = grammar.returnLexicalErrors()
syntaxErrors = grammar.returnSyntacticErrors()
tabla = Environment()
if len(lexerErrors) + len(syntaxErrors) == 0 and result:
for v in result:
if isinstance(v, inst.Select) or isinstance(
v, inst.SelectOnlyParams):
r = v.c3d(tabla)
if r:
list_ = r[0].values.tolist()
labels = r[0].columns.tolist()
querys.append([labels, list_])
else:
querys.append(None)
else:
r = v.c3d(tabla)
messages.append(r)
semanticErrors = grammar.returnSemanticErrors()
PostgresErrors = grammar.returnPostgreSQLErrors()
symbols = symbolReport()
obj = {
"messages": messages,
"querys": querys,
"lexical": lexerErrors,
"syntax": syntaxErrors,
"semantic": semanticErrors,
"postgres": PostgresErrors,
"symbols": symbols,
"codigo": tabla.codigo,
}
astReport()
BnfGrammar.grammarReport()
return obj
