pydict-filter 0.1.5

This package will help you to smart filter dictionary fields.

py-dict-filter

This package allowed you to perform smart filtering for your dictionary.

deny_filter(filtering_dict, filter_list, current_path="")

When you use this method, you specify which fields to filter out. For example, we have next dictionary:

{
    "top_key_1": "top_value",
    "top_key_2": {
        "middle_key_1": "middle_value",
        "middle_key_2": "middle_value",
        "middle_key_3": "middle_value"
    },
    "top_key_3": [
        {
            "middle_key_4": "middle_value",
            "middle_key_5": "middle_value"
        }
    ],
    "top_key_4": "top_value"
}

If you want to deny some fields, you need to add these fields in the filter_list. Here cases filter string and examples:

• Deny top level fields: top_key_1, top_key_3 etc.
• Deny all top level fields: *
• Deny fields from nested dict: top_key_2.middle_key_2, top_key_3.middle_key_5
• Deny all fields from nested dict: top_key_2.*, top_key_3.*

For example if you call this method with example dictionary as filtering_dict and filter_list=["top_key_4", "top_key_3.middle_key_4", "top_key_2.*"] you will get next result:

{
    "top_key_1": "top_value",
    "top_key_3": [
        {
            "middle_key_5": "middle_value"
        }
    ],
    "top_key_2": {}
}

allow_filter(filtering_dict, filter_list, current_path=""):

When you use this method, you specify which fields should be present in a dictionary. For example, we have next dictionary:

{
    "top_key_1": "top_value",
    "top_key_2": {
        "middle_key_1": "middle_value",
        "middle_key_2": "middle_value",
        "middle_key_3": "middle_value",
        "middle_key_4": {
            "low_level_key_1": "low_value",
            "low_level_key_2": "low_value"
        }
    },
    "top_key_3": [
        {
            "middle_key_4": "middle_value",
            "middle_key_5": "middle_value"
        }
    ],
    "top_key_4": "top_value"
}

If you want to deny some fields, you need to add this fields in the filter_list. Here cases filter string and examples:

• Allow top level fields: top_key_1, top_key_3 etc.
• Allow all top level fields: *
• Allow fields from nested dict: top_key_2.middle_key_2, top_key_3.middle_key_5, top_key_2.middle_key_4.low_level_key_2
• Allow all fields from nested dict: top_key_2.*, top_key_3.*, top_key_2.middle_key_4.*

For example if you call this method with example dictionary as filtering_dict and filter_list=["top_key_1", "top_key_2", "top_key_3", "top_key_3.*", "top_key_2.middle_key_1", "top_key_2.middle_key_2", "top_key_2.middle_key_4.*"] you will get next result:

{
    "top_key_1": "top_value",
    "top_key_3": [
        {
            "middle_key_4": "middle_value",
            "middle_key_5": "middle_value"
        }
    ],
    "top_key_2": {
        "middle_key_2": "middle_value",
        "middle_key_1": "middle_value"
    }
}

PAY ATTENTION! Despite the fact that all fields for top_key_2.middle_key_4 were allowed, they did not present in the result. This happened because top_key_2.middle_key_4 was not allowed in top_key_2 dictionary.

none_values_filter(filtering_dict, filter_list, current_path="", recursive=True, is_reversed=False)

When you use this method, you specify which fields should be checked and depend on is_reversed, method will allow or deny None values for these fields.
If is_reversed=False, the method will remove None fields that present in the filter_list.
If is_reversed=True, the method will remove None fields that not present in the filter_list.
If recursive=True, the method will check all dictionary fields.
If recursive=False, the method will check only top-level dictionary fields.

For example, we have next dictionary:

{
    "top_key_1": "top_value",
    "top_key_2": {
        "middle_key_1": "middle_value",
        "middle_key_2": None,
        "middle_key_3": None,
        "middle_key_4": {
            "low_level_key_1": "low_value",
            "low_level_key_2": None
        }
    },
    "top_key_3": [
        {
            "middle_key_4": "middle_value",
            "middle_key_5": None
        }
    ],
    "top_key_4": None
}

If you want to deny (is_reversed=False) or allow (is_reversed=True) None value for some fields, you need to add this fields in the filter_list. Here cases filter string and examples:

• Allow or deny top level fields: top_key_1, top_key_4 etc.
• Allow or deny all top level fields: *
• Allow or deny fields from nested dict: top_key_2.middle_key_2, top_key_3.middle_key_5, top_key_2.middle_key_4.low_level_key_2
• Allow or deny all fields from nested dict: top_key_2.*, top_key_3.*, top_key_2.middle_key_4.*

For example if you call this method with example dictionary as filtering_dict and filter_list=["top_key_1", "top_key_2", "top_key_3", "top_key_3.*", "top_key_2.middle_key_1", "top_key_2.middle_key_2", "top_key_2.middle_key_4.*"], recursive=True, is_reversed=False you will get next result:

{
    "top_key_1": "top_value",
    "top_key_3": [
        {
            "middle_key_4": "middle_value"
        }
    ],
    "top_key_2": {
        "middle_key_3": None,
        "middle_key_1": "middle_value",
        "middle_key_4": {
            "low_level_key_1": "low_value"
        }
    }
}