dictmaper 0.0.6

Library created to map keys in dictionaries.

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 {}

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:

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:

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:

    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:
1- 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'
2- 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.
3- 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:

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:

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" }