def data_viewer(data_id):
data = db_manager.get_data(data_id=data_id)
data_dict = data.__dict__
op = Op(id=data_dict["id"])
print(type(op.output).__name__)
if type(op.output).__name__ == 'float':
data_dict['output'] = op.output
data_dict['shape'] = 1
else:
data_dict['output'] = op.output.tolist()
data_dict['shape'] = op.output.shape
return render_template('data_viewer.html', data=data_dict)
def __init__(self, id=None, value=None, dtype=None, **kwargs):
self._data_db = None
if id is not None:
self._data_db = db.get_data(data_id=id)
if self._data_db is None:
raise Exception("Invalid data id")
elif value is not None and dtype is not None:
if type(value).__name__ == "list":
value = np.array(value)
elif type(value).__name__ == "str":
x = json.loads(value)
if type(x).__name__ == "list":
value = np.array(value)
self._data_db = self.__create(value=value, dtype=dtype)
if self._data_db is None:
raise Exception("Unable to create data")
def parse_op_inputs_outputs(op_dict):
print(op_dict['inputs'])
if op_dict.get("inputs") is not None and op_dict.get("inputs") != "null":
inputs = ast.literal_eval(op_dict['inputs'])
inputs_list = []
for op_id in inputs:
inputs_list.append(db_manager.get_op(op_id=op_id).__dict__)
op_dict['inputs'] = inputs_list
else:
op_dict["inputs"] = []
if op_dict.get("outputs") is not None and op_dict.get("outputs") != "null":
outputs = ast.literal_eval(op_dict['outputs'])
outputs_list = []
for data_id in outputs:
outputs_list.append(db_manager.get_data(data_id=data_id).__dict__)
op_dict['outputs'] = outputs_list
else:
op_dict['outputs'] = []
return op_dict