I am extending the dict class in python:
import jmespath
import json
class superDict(dict):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def prettyPrint(self):
print(self.pprettyPrint())
def pprettyPrint(self):
return json.dumps(self, indent=4, sort_keys=True, default=str)
def search(self, pattern):
return jmespath.search(pattern, self)
...
I would like to be able to do:
regDict = {"key": "value"}
super = superDict(regDict)
super.search('patern').prettyPrint()
the problem I have here is that jmespath can return a list, so I cannot do:
def search(self, pattern):
return superDict(jmespath.search(pattern, self))
Next idea would be creating a prettyprint class that superDict would inherit from and could also be used in the return of search:
class superDict(dict, prettyprint):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
...
def search(self, pattern):
return prettyprint(jmespath.search(pattern, self))
class prettyprint: ???
But I can't figure out what the prettyprint class would look like for this to work. I basically can't think of an elegant way to do this. Maybe some logic in init around the arg type would be simpler?
I ended up using new
class extensions:
def prettyPrint(self):
print(self.pprettyPrint())
return self
def pprettyPrint(self):
return json.dumps(self, indent=4, sort_keys=True, default=str)
def search(self, pattern):
return exJSON(jmespath.search(pattern, self))
class exList(list, extensions):
def prettyTable(self, headers):
x = PrettyTable()
x.field_names = headers
for row in self:
x.add_row(row.values())
x.align = "l"
print(x)
return self
class exDict(dict, extensions):
pass
class exStr(str, extensions):
pass
class exJSON:
def __new__(self, obj):
if type(obj) is dict:
return exDict(obj)
if type(obj) is list:
return exList(obj)
if type(obj) is str:
return exStr(obj)
else:
return obj