Internal Class Representation

Microparser

Transformer

class transformer.JSONTransformer

Bases: object

JSON transformer class.

Transforms given JSON (text) data into XML format. Data in the first step will be transformed to internal JSON structs and afterwards converted (recursive) to xml.

This class will be inherited by the microparser.Serializer class which provides base members/methods for recursive transformation processing.

__init__()

Builds json from serialized (connected) Element object hierarchy.

_set_json_attribute(key, value)

Set single json attribute.

Parameters:

• key (str) – attribute key

• value (mixed) – attribute value (str or dict)

_set_json_value()

Set json value.

get_json()

Return json result.

Returns:

json result dictionary (json dumped)

Return type:

str

get_json_dict()

Return internal json dictionary.

Returns:

json result dictionary

Return type:

dict

json_transform()

Transform xml elements to python dictionary.

set_json_attributes()

Set json attributes.

Helper

class helper.Looper(*, payload, function, methods=None)

Bases: object

Looper Class.

Provides processing of list of input items (type should be irrelevant, currently set to type string) applied to multiple processing method references (list).

After single item has been processed by multiple methods specified in methods list (e.g. strip), it will be sent to the final processing function.

__init__(*, payload, function, methods=None)

Loops over payload items. For each item:

• applies methods given in methods list.

• calls function reference given in function argument using item as argument.

Parameters:

• payload (list[str]) – payload list

• function (str) – function reference for item processing after methods processing

• methods (list[str]) – list of methods applied to item

Variables:

• _payload (list[str]) – list of payload items to be processed

• _function (str) – stored function reference

• _methods (list[str]) – list of methods applied to payload items

Example:

>>> from microparser import Looper
>>>
>>> def myfunction(payload):
>>>     print(payload)
>>>
>>> payload = 'one,two,three'
>>>
>>> args = {
>>>     'payload': payload.split(','),
>>>     'function': myfunction,
>>>     'methods': ['strip']
>>> }
>>>
>>> Looper(**args).process()

generate_methods(element)

Generate methods when provided.

process()

Process payload elements.

static process_methods(methods, element)

Loop over methods.