Metadata-Version: 2.1
Name: dictmaper
Version: 0.0.3
Summary: Library created to map keys in dictionaries.
Home-page: UNKNOWN
Author: Arnold Blandon and Santiago Gonzalez
Author-email: arnold.blandon1@gmail.com
Maintainer: Santiago Gonzalez
Maintainer-email: alejandro980619@outlook.com
License: UNKNOWN
Keywords: python,dict,map,data
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/x-rst

Package Documentation
=====================

With this library you can map your dictionaries easily, you just need to
pass it:

1- output: the dictionary you want to receive, the variables you want to
map must go with {}

.. code:: python

       from DictMaper import MapDict
       result = MapDict(
           output={
               "{var_1}": "Hi! {var_2}, welcome to {company_name}"
               "company name":"{company_name}"
           }
           ......
       )

2- context: context is the data from which the information will be
obtained:

.. code:: python

       from DictMaper import MapDict
       result = MapDict(
           output={
               "{var_1}": "Hi! {var_2}, welcome to {company_name}"
               "company name":"{company_name}"
           }
           context={
               "user": {
                 "name":"user name",
                 "email":"test_email@..."
               }
               "company":{
                "information":{
                   "name":"Company name",
                   "id":"1234"
                   }
               }
          }
       )

3- vars: vars are the variables you want to map to your output and the
value is where they are located within context:

.. code:: python

       from DictMaper import MapDict
       result = MapDict(
           output={
               "{var_1}": "Hi! {var_2}, welcome to {company_name}",
               "company":"{company_name}"
           }
           context={
               "user": {
                 "name":"user name",
                 "email":"test_email@..."
               },
               "company":{
                "information":{
                   "name":"Company name",
                   "id":"1234"
                   }
               }
          }
          vars={
            "var_1": "user.email",
            "var_2": "user.name",
            "company_name": "company.information.name"
          }
       )

That’s all, process the data making .process() and as a result you will
have:

.. code:: python

       from DictMaper import MapDict
       result = MapDict(...).process()
       {
           "test_email@...": "Hi! user name, welcome to Company name",
           "company":"Company name"
       }
       ```

   If your context dictionary contains nested dictionaries or lists, you can use this flag variable complex_dict_mapping=True to process more complex dictionaries.
   But you must take into account the following restrictions:
   - If the 'context' dictionary contains a key with a list, the name of the key must be the same in the 'vars' dictionary and in the 'output'
   - You can only search at level 1 depth in the keys that contain LISTS in the 'context' dictionary, where the paths defined in the 'variables' dictionary will be searched.
   - It is not possible to place a variable from the 'vars' dictionary in the 'output' dictionary as a key in any of the values ​​of the dictionaries that are within some list that are within the same 'output' dictionary.

   Example:
   1- output: the dictionary you want to receive, the variables you want to map must go with {}
   ```python
       output = {
           "contacts": [{
               "name": "{var_name}",
               "email": "{var_email}",
               "adresses": [{"main address": "{var_main_address}"}]
           }],
           "company name":"{company_name}"
       }

2- context: context is the data from which the information will be
obtained:

.. code:: python

       context = {
           "contacts": [
               {
                   "name":"user name",
                   "email":"test_email@...",
                   "address": {"main": "customer address"}
               },
               {
                   "name":"user2 name2",
                   "email":"test2_email2@...",
                   "address": {"main": "customer address2"}
               }
           ],
           "company":{
               "information":{
                   "name":"Company name",
                   "id":"1234",
               }
           }
       }

3- vars: vars are the variables you want to map to your output and the
value is where they are located within context:

.. code:: python

       vars = {
           "contacts": [{
               "var_name": "name",
               "var_email": "email",
               "var_main_address": "address.main",
           }],
           "company_name": "company.information.name",
       }

That’s all, process the data doing .process() and as a result you will
have:
\`\ ``python     from DictMaper import MapDict     result = MapDict(         output=output,         context=context,         vars=vars,          complex_dict_mapping=True     )     result.process()     {         "contacts":[             {                 "name":"user name",                 "email":"test_email@...",                 "adresses":[                     {                     "main address":"customer address"                     }                 ]             },             {                 "name":"user2 name2",                 "email":"test2_email2@...",                 "adresses":[                     {                     "main address":"customer address2"                     }                 ]             }         ],         "company name":"Company name"     }``


