How to store a value?

Vidal boreal,

I do have a version without self.count, but I promised my clients not to share this code.

Here is one method to save some data in your object store. You can test this out in a research notebook as well. 

import json
from json import JSONEncoder

class EncodeNumpyArray(JSONEncoder):
    def default(self, obj):
        if isinstance(obj, np.ndarray):
            return obj.tolist()
        return JSONEncoder.default(self, obj)


try:
    self.ObjectStore.ContainsKey('some_key')
except:
    # Probably debugging in research notebook
    qb = QuantBook()
    self = qb


# Can loop through values and cache
#some_list = ['some_iter_key']
#for some_iter_var in some_list:
some_iter_var = 'some_iter_key'
f_key = f'{some_iter_var}'

value = np.float32([0.0]) # some new value to append to list
if(self.ObjectStore.ContainsKey(f_key)):
    decodedWeights = json.loads(self.ObjectStore.Read(f_key))
    cached_value = np.float32(decodedWeights)

    new_value = np.append(cached_value,value)
    encoded_json_params = json.dumps(new_value, cls=EncodeNumpyArray)
    self.ObjectStore.Save(f_key, encoded_json_params)
    
    print(encoded_json_params)
    #[0.0, 0.0, 0.0, 0.0] # multiple runs will append based on cached value and current value
else:
    # if first time need to create it
    encoded_json_params = json.dumps(value, cls=EncodeNumpyArray)
    self.ObjectStore.Save(f_key, encoded_json_params)