I have the following issue. I want to convert a complex object to a json dictionary. I am unable to do it directly so I end up using json.dumps() to make the object into a string first and then load that string with json.loads().
I was expecting to be able to do it with json.dump(), however that requires that I put it into a file-like object which seems like an extra hoop to go through when wanting to get a dict data structure.
Is there a way to eliminate the conversion to string and then the load without creating an object that exposes a write method?
Sample code:
import json
class Location():
def __init__(self, lat, lon):
self.lat = lat
self.lon = lon
class WeatherResponse():
def __init__(self,
state: str,
temp: float,
pressure: float,
humidity: float,
wind_speed: float,
wind_direction: float,
clouds: str,
location: Location):
self.state = state
self.temp = temp
self.pressure = pressure
self.humidity = humidity
self.wind_speed = wind_speed
self.wind_direction = wind_direction
self.clouds = clouds
self.location = location
weather = WeatherResponse(state = "Meteorite shower",
temp = 35.5,
pressure = 1,
humidity = "Wet",
wind_speed = 3,
wind_direction = 150,
clouds = "Cloudy",
location = Location(10, 10))
weather_json = json.dump(weather) #Needs a file like object
weather_string = json.dumps(weather, default = lambda o: o.__dict__)
weather_dict = json.loads(weather_string)
print(weather_dict)
So after clarifying your requirements, it seems like you would like to convert an arbitrary class
to a nested dict
and not to a JSON string.
In that case I suggest you to use some kind of a serializer/deserializer library such as pydantic
or marshmallow
.
An example of your implementation in pydantic
would look like this:
import pydantic
class Location(pydantic.BaseModel):
lat: float
lon: float
class WeatherResponse(pydantic.BaseModel):
state: str
temp: float
pressure: float
humidity: str
wind_speed: float
wind_direction: float
clouds: str
location: Location
weather = WeatherResponse(
state="Meteorite shower",
temp=35.5,
pressure=1,
humidity="Wet",
wind_speed=3,
wind_direction=150,
clouds="Cloudy",
location=Location(lat=10, lon=10),
)
weather_dict = weather.dict()
# {'state': 'Meteorite shower', 'temp': 35.5, 'pressure': 1.0, 'humidity': 'Wet', 'wind_speed': 3.0, 'wind_direction': 150.0, 'clouds': 'Cloudy', 'location': {'lat': 10.0, 'lon': 10.0}}
For advanced usage please check out the provided links.
Hope it helps!
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