Add support for default_value resolver

[thedevtoni]

Is there any possibility of adding something like we have to resolve the types but for values?

context = rule_engine.Context(type_resolver=rule_engine.type_resolver_from_dict({
    'first_name': rule_engine.DataType.STRING,
    'age': rule_engine.DataType.FLOAT
}))

context = rule_engine.Context(type_resolver=rule_engine.value_resolver_from_dict({
    'first_name': "default",
    'age': 0
}))

[zeroSteiner]

Are you trying to figure out what the rule engine data type is for each of the values? If that's the case you can just pass your dictionary into type_resolver_from_dict. For every value, if it's not a datatype already, it'll be resolved to one using DataType.from_value.

In [1]: import rule_engine

In [2]: rule_engine.type_resolver_from_dict({
   ...:     'first_name': rule_engine.DataType.STRING,
   ...:     'age': rule_engine.DataType.FLOAT
   ...: })
Out[2]: functools.partial(<function _type_resolver at 0x7f3f7f1cb940>, {'first_name': <_DataTypeDef name=STRING python_type=str >, 'age': <_DataTypeDef name=FLOAT python_type=Decimal >})

In [3]: rule_engine.type_resolver_from_dict({
   ...:     'first_name': rule_engine.DataType.STRING,
   ...:     'age': rule_engine.DataType.FLOAT
   ...: })('first_name')
Out[3]: <_DataTypeDef name=STRING python_type=str >

In [4]: rule_engine.type_resolver_from_dict({
   ...:     'first_name': 'default',
   ...:     'age': 0
   ...: })('first_name')
Out[4]: <_DataTypeDef name=STRING python_type=str >

In [5]: 

[thedevtoni]

@zeroSteiner thanks for the guidance. I will check this part.

I end up implementing a method that returns methods with type_resolver.

In terms of performance is that better or is the dictionary solution better?

Thanks

[zeroSteiner]

I'm not entirely sure which option would have better performance.