jdiff.utils.data_normalization

Data Normalization utilities.

jdiff.utils.data_normalization.exclude_filter(data, exclude)

Recusively look through all dict keys and pop out the one defined in "exclude".

Update in place existing dictionary. Look into unit test for example.

Parameters:

Name	Type	Description	Default
data	Union[Dict, List]	{ "interfaces": { "Management1": { "name": "Management1", "interfaceStatus": "connected", "autoNegotiate": "success", "interfaceStatistics": { "inBitsRate": 3403.4362520883615, "inPktsRate": 3.7424095978179257, "outBitsRate": 16249.69114419833, "updateInterval": 300, "outPktsRate": 2.1111866059750692 },...	required
exclude	List	["interfaceStatistics", "interfaceCounters"]	required

jdiff.utils.data_normalization.flatten_list(my_list)

Flatten a multi level nested list and returns a list of lists.

This normalization step is required since jmespath can return nested lists containing the wanted value. This depends how much nested is the wanted value in the json output.

Having a list of lists will help us to assert that we have the number of values we have, will match the number of reference keys found in json object.

Parameters:

Name	Type	Description	Default
my_list	List	nested list to be flattened.	required

Return

[[-1, 0], [-1, 0], [-1, 0], ...]

Example

my_list = [[[[-1, 0], [-1, 0]]]] flatten_list(my_list) [[-1, 0], [-1, 0]]