calc_engine/main.py

import ptoken as token
import tokenizer
import expression
import calc_engine
import factors
import jsonpickle
import itertools
import copy

base_list = [1, 2, 4, 6, 12]
tolerance = .05

variables = {}
var_types = {}

def print_vars(vars):
	i = 0
	for key in vars.keys():
		var = vars[key]
		if i != 0:
			print(", %s" %(var.name), end = "")
		else:
			print("%s " %(var.name), end = "")
		i += 1
	print()
	
def modify_variable(var, vars):
	print("%s is now selected." %(var.name))
	print("The following properties are avaliable: Variable Type, Starting Point and Ending Point.")
	print('Commands are "type", "start" and "end", respectly.')
	
	while True:
		response = input("Select a property to modify for %s or q to exit property modifying: " %(var.name))
		
		if response == "type":
			response = input("Enter the type of variable this is (currently %s) or c to cancel: " %(var.type))
			
			if response == "c" or response == "C":
				continue
			
			vars[var.name].type = response
			print("Updated to %s." %(response))
			
		elif response == "start":
			response = input("Enter the variable's starting point (currently %f) or c to cancel: " %(var.starting_point))
			
			if response == "c" or response == "C":
				continue
			
			try:
				vars[var.name].starting_point = float(response)
				print("Updated to %f." %(float(response)))
			except ValueError:
				print("The starting point must be a number.")
			
		elif response == "end":
			response = input("Enter the variable's ending point (currently %f) or c to cancel: " %(var.ending_point))

			if response == "c" or response == "C":
				continue
				
			try:
				vars[var.name].ending_point = float(response)
				print("Updated to %f." %(float(response)))
			except ValueError:
				print("The ending point must be a number.")
			
			pass
			
		elif response == "q":
			return
			
		else:
			print('Invalid property "%s".' %(response))
			print('Commands are "type", "start" and "end".')
			
exp_str = input("Enter the expression the student will use: ")
wrong_response = input("Enter the wrong response for the expression: ")
interest = input("Enter the default starting point for Interest variables: ")
time = input("Enter the default starting point for Time variables: ")
installment = input("Enter the default starting point for the Installment variables: ")

var_types["Interest"] = float(interest)
var_types["Time"] = float(time)
var_types["Installment"] = float(installment)

try:
	wrong_response = float(wrong_response)
except ValueError:
	print("The wrong response must be numeric.")
	exit()

tolerance = input("Enter the tolerance to use: ")

try:
	tolerance = float(tolerance)
except ValueError:
	print("The tolerance must be numeric.")
	exit()

tokens = tokenizer.get_tokens_from_expression_string(exp_str)
rev_tokens = copy.deepcopy(tokens)

for t in rev_tokens:
	if t.type == token.TokenType.variable:
		variables[t.value] = expression.Variable(t.value, expression.Variable.get_variable_type(t.value[0]))
		variables[t.value].starting_point = var_types[expression.Variable.get_variable_type(t.value[0])]

selected_variable = None

if len(variables) > 0:

	while True:
		print("Variables in expression:")
		print_vars(variables)
		response = input("Enter a variable name to modify its properties or continue (default): ")
		
		if response == "continue" or response == "":
			break
			
		if response in variables:
			selected_variable = variables[response]
		
		if selected_variable != None:
			modify_variable(selected_variable, variables)
			
		else:
			print("Invalid selection %s." %(response))
			continue

exp = expression.Expression(exp_str, variables, wrong_response)
#exp.variables
#fileLocation = input('File Path to JSON: ') 
#json = json.loads(open(fileLocation).read())


#userInput = input('Enter your formula: ')
#tokens = tokenizer.get_tokens_from_expression_string("5000(2(2(1.08^10)-1)/0.08)")
#with open("expression.json", "r") as f:
#	#j = json.load(f)
#	exp = jsonpickle.decode(f.read())
#	exp.variables
#results = calc_engine.calculate_results(tokens.copy())
#print(results)

#for t in tokens:
#	print("%s (%s) " %(t.value, token.TokenType.get_token_type_name(t.type)), end = "")
#print()

#tokens = tokenizer.get_tokens_from_expression_string(exp.expression)
tokenizer.print_token_list(tokens)
factors_list = []
ls = []
answers = {}

for v in exp.variables:
	factor = factors.Factor(v, base_list)

	if exp.variables[v].type == "Interest":
		factor.calculate_factors(exp.variables[v].starting_point, True, True)
	else:
		factor.calculate_factors(exp.variables[v].starting_point)
		
	factors_list.append(factor)
	ls.append(factor.get_flat_factors_list())
	
res = list(itertools.product(*ls))
for r in res:	
	t = tokenizer.replace_variables(tokens, list(r))
	#tokenizer.print_token_list(t)
	result = calc_engine.calculate_results(t)
	tol = int(exp.wrong_response * tolerance + exp.wrong_response) 
	if result <= tol and result >= int(exp.wrong_response - exp.wrong_response * tolerance):
		if not result in answers:
			answers[result]	 = t
	#if result <= tol and result >= int(exp.wrong_response - exp.wrong_response * tolerance):

		
#for k in answers:
#	print("Result: %s for expression: " %(format(k, ".8f")))
#	tokenizer.print_token_list(answers[k])
	
with open("results.txt", "w") as f:
	print("Answers Found: %d" %(len(answers)))
	for k in answers:
		f.write("Result: %s for expression: " %(format(k, ".6f")))
		f.write(tokenizer.stringify_token_list(answers[k]))