Field Build Functions

abs_value

Function	Description	Sources	Output	Arguments
abs_value	Returns the absolute value for a given numeric value.	numeric_value (type: Number)	Number

{
  "abs_value_of_source": {
    "type": "numeric",
    "function": "abs_value",
    "source": "source_name"
  }
}

{
  "source_name": -6
}

{
  "abs_value_of_source": 6
}

all_checks

Function	Description	Sources	Output	Arguments
all_checks	A directive to check for multiple conditions. Receives a sequence of values, returns True iff all the values return True. Note that it is possible and advised to use this method over results of other boolean field functions (such as check_existence, equal_const and negative_check) in order to create complex boolean fields. Not suitable for a boolean array source, only for multiple boolean sources. If remove_if_null is set to True, if one of the boolean_values is null, this field will be removed altogether.	boolean_values (type: Sequence[Optional[bool]])	Optional[bool]	remove_if_null

{
  "all_sources_are_true": {
    "type": "boolean",
    "function": "all_checks",
    "sources": [
      "source_name_1",
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": true,
  "source_name_2": true
}
<EXAMPLE OUTPUT>
{
  "all_sources_are_true": true
}

all_values_field_in_array

Function	Description	Sources	Output	Arguments
all_values_field_in_array	A directive which returns an array of values from all the occurrences of a key in an array of dictionaries.	array_value (type: Sequence[Mapping])	Sequence	key (type: str)

{
  "values_from_objects_in_array": {
    "type": "numeric",
    "function": "all_values_field_in_array",
    "source": "source_name",
    "args": [
      "name"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "john",
      "age": 13
    },
    {
      "name": "bob",
      "age": 20
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "values_from_objects_in_array": [
    "john",
    "bob"
  ]
}

area

Function	Description	Sources	Output	Arguments
area	A directive for calculating the area of polygon. The input should be a polygon in the format of a GeoJson (json or WKT) or a TopoJson. The returned area will be in square meter (m^2). Set convert_to_km to true in order to get the result in square kilometer(km^2)	polygon		convert_to_km

{
  "area_of_polygon": {
    "type": "numeric",
    "function": "area",
    "source": "polygon"
  }
}
<EXAMPLE INPUT 1>
{
    "polygon": {
        "type": "Polygon",
        "coordinates": [[[-50,-90],[-50,90],[50,90],[-50,-90]]]
    }
}
<EXAMPLE INPUT 2>
{
    "polygon": "POLYGON ((-50 -90, -50 90, 50 90, 50 -90, -50 -90))"
}
<EXAMPLE OUTPUT >
{
    "area_of_polygon": 18000.0
}

array_intersection

Function	Description	Sources	Output	Arguments
array_intersection	A directive for getting the intersection of two arrays	first_array_value (type: Sequence) second_array_value (type: Sequence)	Sequence

{
  "array_from_intersected_arrays": {
    "type": "string",
    "function": "array_intersection",
    "sources": [
      "source_name_1",
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": [7,1,5,2,3,6],
  "source_name_2": [3,8,6,20,7]
}
<EXAMPLE OUTPUT>
{
  "array_from_intersected_arrays": [3,6,7]
}

array_length

Function	Description	Sources	Output	Arguments
array_length	A directive for creating a field according to the length of an array value.	array_value (type: Sequence)	int	default_value

{
  "length_of_array": {
    "type": "numeric",
    "function": "array_length",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [1,2,3,4,6,9,22]
}
<EXAMPLE OUTPUT>
{
  "length_of_array": 7
}

array_numbers

Function	Description	Sources	Output	Arguments
array_numbers	A directive for creating an array which consists only of the numeric values of a given array.	array_value (type: Sequence)	Sequence[Number]	default_value

{
  "numeric_values": {
    "type": "numeric",
    "function": "array_numbers",
    "source": "mixed_array"
  }
}
<EXAMPLE INPUT>
{
  "mixed_array": [1,5,3,true,"dog"]
}
<EXAMPLE OUTPUT>
{
  "numeric_values": [1,5,3]
}

array_top_value

Function	Description	Sources	Output	Arguments
array_top_value	A directive for creating a field according to the max numeric value of an array. Note: given array must contain only numeric values.	array_value (type: Sequence[Number])	Optional[Number]	default_value

{
  "top_value_of_array": {
    "type": "numeric",
    "function": "array_top_value",
    "source": "array_source"
  }
}
<EXAMPLE INPUT>
{
  "array_source": [1,5,32,3,2.8]
}
<EXAMPLE OUTPUT>
{
  "top_value_of_array": 32
}

array_tops_delta

Function	Description	Sources	Output	Arguments
array_tops_delta	A directive for creating a field according to the delta between the two largest numeric values of an array. Note: given array must contain only numeric values.	array_value (type: Sequence[Number])	Optional[Number]	default_value

{
  "delta_of_array_top_values": {
    "type": "numeric",
    "function": "array_top_value",
    "source": "array_source"
  }
}
<EXAMPLE INPUT>
{
  "array_source": [32,1,5,12]
}
<EXAMPLE OUTPUT>
{
  "delta_of_array_top_values": 20
}

arrays_product

Function	Description	Sources	Output	Arguments
arrays_product	A directive which takes arrays and returns the cartesian product of those arrays, with its values concatenated to one string for each subset.	arrays_value (type: Sequence)	Sequence[str]	separator (type: str) avoid_same_values (type: bool)

{
  "arrays_product": {
    "type": "string",
    "sources": ["source1", "source2"]
    "function": "arrays_product",
    "args": [
      "_"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source1": [1,2,3]
  "source2": ["a", "b"]
}
<EXAMPLE OUTPUT>
{
  "arrays_product": ['1_b', '1_a', '2_b', '2_a', '3_b', '3_a']
}

averages_delta

Function	Description	Sources	Output	Arguments
averages_delta	Returns the delta between the average value of the two arrays.	first_array_value (type: Sequence[Optional[Number]]) second_array_value (type: Sequence[Optional[Number]])	Optional[Number]

{
  "delta_of_averages_of_two_arrays": {
    "type": "numeric",
    "function": "averages_delta",
    "sources": [
      "source_name_1",
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": [3,7,10,20],
  "source_name_2": [1,5,9]
}
<EXAMPLE OUTPUT>
{
  "delta_of_averages_of_two_arrays": 5
}

boolean_via_numeric

Function	Description	Sources	Output	Arguments
boolean_via_numeric	Return the boolean value of the numeric value that the given str describes.	value (type: str)	bool

{
  "boolean_value_field": {
    "type": "boolean",
    "function": "boolean_via_numeric",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": "0"
}
<EXAMPLE OUTPUT>
{
  boolean_value_field": false
}

clean_null_str

Function	Description	Sources	Output	Arguments
clean_null_str	A workaround directive to nullify "null" strings coming by mistake from the user.	actual_value

{
  "nullified_field_name": {
    "type": "string",
    "source": "source_name",
    "function": "clean_null_str"
  },
  "not_nullified_field_name": {
    "type": "string",
    "source": "source_name_2",
    "function": "clean_null_str"
}
<EXAMPLE INPUT>
{
  "source_name": "null",
  "source_name_2": "dog"
}
<EXAMPLE OUTPUT>
{
  "nullified_field_name": null,
  "not_nullified_field_name": "dog"
}

concat

Function	Description	Sources	Output	Arguments
concat	A directive which takes a sequence field, and returns its values concatenated as a string.	actual_value (type: Union[Mapping, Sequence])	Optional[str]

{
  "concatenated_array": {
    "type": "string",
    "function": "concat",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    "John",
    "Bob",
    "Sharon",
    "Joe"
  ]
}
<EXAMPLE OUTPUT>
{
  "concatenated_array": [
    "John_Bob_Sharon_Joe"
  ]
}

concat_inner_array

Function	Description	Sources	Output	Arguments
concat_inner_array	Returns an array concatenation of all values in the the inner_array_key in the objects originally found in the source array.	outer_array_value (type: Sequence[Mapping])	Sequence	inner_array_key (type: str)

{
  "array_of_concatenated_arrays": {
    "type": "string",
    "function": "concat_inner_array",
    "source": "source_name",
    "args": [
      "a"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "a": [1,2,3],
      "b": ["a","b","c"]
    },
    {
      "a": [4,5,6],
      "b": ["d","e","f"]
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "array_of_concatenated_arrays": ["1","2","3","4","5","6"]
}

concat_strings

Function	Description	Sources	Output	Arguments
concat_strings	A directive for concatenating all the given string/strings sequences sources. If sources are strings sequences, concat each index of the sources. If values contains str arrays, in case of a None arg in one of the arrays, the returned value in the corresponding index will be None.	values (type: Sequence[Union[str, Sequence[str]]])	Union[str, Sequence[str]]	separator (type: str)

{
  "concatenated_string": {
    "type": "string",
    "function": "concat_strings",
    "sources": [
      "source_name_1",
      "source_name_2"
    ],
    "args": [
      ", "
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": "Jack",
  "source_name_2": "Black"
}
<EXAMPLE OUTPUT>
{
  "concatenated_string": "Jack, Black"
}

concat_strings_recursive_arrays

Function	Description	Sources	Output	Arguments
concat_strings_recursive_arrays	A directive for generating a sequence of strings, concatanated from keys of objects within arrays. It currently has a very specific usage: It expects a source which is an array of objects, then a sequence of keys, the first of which should be a key to look for a string value, the second should be a key to look for a new array of objects, the third is again a key for a string value within this new array, and the forth is again a key for looking for a new array of objects, and so on.	top_array_value (type: Sequence[Optional[Mapping]])	Optional[str]	internal_keys (type: Sequence[str]) separator (type: str)

{
  "concatenated_strings_in_recursive_arrays": {
    "type": "string",
    "source": "source_name",
    "function": "concat_strings_recursive_arrays",
    "args": [
      [
        "feature_id",
        "attributes",
        "attribute_1",
        "values",
        "unique_id"
      ]
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "feature_id": 3833,
      "attributes": [
        {
          "attribute_1": 1242,
          "values": [
            {
              "unique_id": 12
            }
          ]
        }
      ]
    },
    {
      "feature_id": 2336,
      "attributes": [
        {
          "attribute_1": 923,
          "values": [
            {
              "unique_id": 132
            }
          ]
        },
        {
          "attribute_1": 1759,
          "values": [
            {
              "unique_id": 243
            }
          ]
        }
      ]
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "concatenated_strings_in_recursive_arrays": [
    "3833_1242_12",
    "2336_923_132",
    "2336_1759_243"
  ]
}

const_is_in_array

Function	Description	Sources	Output	Arguments
const_is_in_array	Return true if the given array contains the given constant value, false otherwise.	array_value (type: Sequence)	bool	value

{
  "does_source_contains_const": {
    "type": "boolean",
    "function": "const_is_in_array",
    "source": array_source,
    "args": [
      "blue"
    ]
  }
}
<EXAMPLE INPUT>
{
  "array_source": [red, yellow, ,blue, orange]
}
<EXAMPLE OUTPUT>
{
  "does_source_contains_const": true
}

convert_to_float

Function	Description	Sources	Output	Arguments
convert_to_float	Convert string to float safely (if it's already int/float - no conversion needed). In case the given value is not representing a number the return value is None. Values in null_values are replaced with null.	original_value (type: Optional[Number])	Number	null_values

count_characters

Function	Description	Sources	Output	Arguments
count_characters	A directive which gets a string value or array, and returns the amount of characters (if array - for each element).	string_or_array_value	int

{
  "count_characters_field_name": {
    "type": "int",
    "function": "count_characters",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
    "source_name": ["Hi there, my name is John.", "Hello"]
}
<EXAMPLE OUTPUT>
{
    "count_characters_field_name": [26, 5]
}

count_occurrences_in_array

Function	Description	Sources	Output	Arguments
count_occurrences_in_array	A directive that, given an array field, counts the amount of items in that array in which the value for given key is equal to the given inner_value.	array_value (type: Sequence[Mapping])	int	key (type: str) inner_value default_value

{
  "number_of_value_occurrences": {
    "type": "numeric",
    "function": "count_occurrences_in_array",
    "source": "source_name",
    "args": [
      "name",
      "Bob"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Bob",
      "age": 20
    },
    {
      "name": "Sharon",
      "age": 17
    },
    {
      "name": "Bob",
      "age": 10
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "number_of_value_occurrences": 2
}

count_recursively

Function	Description	Sources	Output	Arguments
count_recursively	A directive which counts all internal elements in the given array, recursively.	array_value (type: Sequence)	int

{
  "number_of_elements_recursively": {
    "type": "numeric",
    "function": "count_recursively",
    "source": "source_name"
  }
}

{
  "source_name": [
    "bob",
    [
      "dog",
      "cat"
    ],
    "sharon"
  ]
}

{
  "number_of_elements_recursively": 4
}

count_words

Function	Description	Sources	Output	Arguments
count_words	A directive which gets a string value or array, and returns the amount of words (if array - for each element). The amount of words is calculated based on the standard python split method without args, i.e. words are separated by any number and form of whitespace chars.	string_or_array_value	int

{
  "count_words_field_name": {
    "type": "int",
    "function": "count_words",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
    "source_name": ["Hi there, my name is John.", "Hello"]
}
<EXAMPLE OUTPUT>
{
    "count_words_field_name": [6, 1]
}

day_of_week_from_timestamp_seconds

Function	Description	Sources	Output	Arguments
day_of_week_from_timestamp_seconds	Returns the day of week (UTC) from the given timestamp.	timestamp_value (type: Number)

{
  "day_of_timestamp": {
    "type": "string",
    "function": "day_of_week_from_timestamp_seconds",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": 1610569800
}
<EXAMPLE OUTPUT>
{
  "day_of_timestamp": "Wednesday"
}

dedup_array_of_objects_by_key

Function	Description	Sources	Output	Arguments
dedup_array_of_objects_by_key	Returns the given array, deduped by the values in the given key.	input_value (type: Union[Sequence[dict], dict])	Sequence	dedup_key (type: str)

{
  "deduped_sub_array": {
    "type": "string",
    "function": "dedup_array_of_objects_by_key",
    "source": "source_name",
    "args": [
      "name"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 20
    },
    {
      "name": "Bob",
      "age": 30
    },
    {
      "name": "Max",
      "age": 19
    },
    {
      "name": "Bob",
      "age": 10
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "deduped_sub_array": [
    {
      "name": "John",
      "age": 20
    },
    {
      "name": "Bob",
      "age": 30
    },
    {
      "name": "Max",
      "age": 19
    }
  ]
}

delta

Function	Description	Sources	Output	Arguments
delta	A directive for calculating delta of two values.	first_value (type: Optional[Number]) second_value (type: Optional[Number])	Optional[Number]	default_value

{
  "delta_between_values": {
    "type": "numeric",
    "sources": [
      "numeric_source_1",
      "numeric_source_2"
    ],
    "function": "delta"
  }
}
<EXAMPLE INPUT>
{
  "numeric_source_1": 50,
  "numeric_source_2": 2
}
<EXAMPLE OUTPUT>
{
  "delta_between_values": 48
}

delta_between_first_and_second

Function	Description	Sources	Output	Arguments
delta_between_first_and_second	Returns the delta between the max value and the second max value from a list of (dynamic) multiple numeric value sources. Not suitable for numerical array sources.	numeric_values (type: Sequence[Optional[Number]])	Optional[Number]

{
  "delta_of_two_highest_values": {
    "type": "numeric",
    "function": "delta_between_first_and_second",
    "sources": [
      "source_name_1",
      "source_name_2",
      "source_name_3"
    ]
  }
}

{
  "source_name_1": 5,
  "source_name_2": 10,
  "source_name_3": 7
}

{
  "delta_of_two_highest_values": 3
}

delta_from_const

Function	Description	Sources	Output	Arguments
delta_from_const	A directive for calculating delta between a given number and a const.	first_value (type: Optional[Number])	Optional[Number]	const_to_subtract (type: Number) default_value

{
  "delta_between_source_and_const": {
    "type": "numeric",
    "function": "delta_from_const",
    "source": "numeric_source_name",
    "args": [
      10
    ]
  }
}
<EXAMPLE INPUT>
{
  "numeric_source_name": 50
}
<EXAMPLE OUTPUT>
{
  "delta_between_source_and_const": 40
}

distance

Function	Description	Sources	Output	Arguments
distance	A directive for calculating the distance between two points. The input should be two given Geopoints. The returned distance will be in meters (m). Set convert_to_km to true in order to get the result in kilometers (km)	point1 point2		convert_to_km

{
    "distance_between_two_points": {
    "function": "distance",
    "sources": ["point1", "point2"],
    "type": "numeric"
    }
  }
<EXAMPLE INPUT>
{
    [{
        "point1": {"location" : "POINT (-71.34 41.12)" },
        "point2": {"location" : "POINT (52.406374 16.9251681)" }
    }]
}
<EXAMPLE OUTPUT>
{
    "distance_between_two_points": 11365307.89
}

divide

Function	Description	Sources	Output	Arguments
divide	A directive for dividing one value by another.	numerator_value (type: Optional[Number]) denominator_value (type: Optional[Number])	Optional[Number]

{
  "quotient_of_division": {
    "type": "numeric",
    "function": "divide",
    "sources": [
      "numeric_source_name_1",
      "numeric_source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "numeric_source_name_1": 50,
  "numeric_source_name_2": 10
}
<EXAMPLE OUTPUT>
{
  "quotient_of_division": 5
}

divide_by_const

Function	Description	Sources	Output	Arguments
divide_by_const	A directive for dividing one value by a const.	numerator_value (type: Optional[Number])	Optional[Number]	denominator (type: Optional[Number])

{
  "quotient_of_division_with_const": {
    "type": "numeric",
    "function": "divide_by_const",
    "source": "numeric_source_name",
    "args": [
      "5"
    ]
  }
}
<EXAMPLE INPUT>
{
  "numeric_source_name_": 50
}
<EXAMPLE OUTPUT>
{
  "quotient_of_division_with_const": 10
}

dynamic_field_value_from_object

Function	Description	Sources	Output	Arguments
dynamic_field_value_from_object	Returns the value of a dynamically chosen field within an object.	dict_object_value (type: Mapping) field_name_value

{
  "value_of_dynamic_field": {
    "type": "string",
    "function": "dynamic_field_value_from_object",
    "sources": [
      "source_name",
      "field_key_name"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": {
    "name": "Bob",
    "age": 23,
    "city": "New York"
  },
  "field_key_name": "city"
}
<EXAMPLE OUTPUT>
{
  "value_of_dynamic_field": "New York"
}

empty_to_null

Function	Description	Sources	Output	Arguments
empty_to_null	A directive which is just like the identity function for strings, only it returns "null" for empty strings.	original_value (type: str)	str

{
  "example_field_name": {
    "type": "string",
    "function": "empty_to_null",
    "sources": [
      "source_name"
    ]
  },
  "empty_field_name": {
    "type": "string",
    "function": "empty_to_null",
    "sources": [
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": "dog",
  "source_name_2": ""
}
<EXAMPLE OUTPUT>
{
  "example_field_name": "dog",
  "empty_field_name": null
}

equality_check

Function	Description	Sources	Output	Arguments
equality_check	A directive to check for equality between two values.	first_value second_value	Optional[bool]

{
  "is_equale": {
    "type": "boolean",
    "function": "equality_check",
    "sources": [
      "source_name_1",
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": 10,
  "source_name_2": 10
}
<EXAMPLE OUTPUT>
{
  "is_equale": true
}

equality_check_const

Function	Description	Sources	Output	Arguments
equality_check_const	A directive to check for equality between a value and a constant value.	value		const

{
  "is_equal_to_const": {
    "type": "boolean",
    "function": "equality_check_const",
    "source": "source_name",
    "args": [
      10
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": 10
}
<EXAMPLE OUTPUT>
{
  "is_equal_to_const": true
}

existence_check

Function	Description	Sources	Output	Arguments
existence_check	A directive to check for an existence of a value.	value	bool	non_existent_value

{
  "value_exists": {
    "type": "boolean",
    "function": "existence_check",
    "source": "source_name"
  },
  "value_exists_2": {
    "type": "boolean",
    "function": "existence_check",
    "source": "source_name_2"
  },
  "value_exists_3": {
    "type": "boolean",
    "function": "existence_check",
    "source": "source_name_3"
  }
}
<EXAMPLE INPUT>
{
  "source_name": "John",
  "source_name_2": null
}
<EXAMPLE OUTPUT>
{
  "value_exists": true,
  "value_exists_2": false,
  "value_exists_3": false
}

field_delta

Function	Description	Sources	Output	Arguments
field_delta	A directive to get a field delta between the first and second values of a specific key in an array field. NOTE: If no second value is found, we use zero instead.	array_value (type: Sequence[Mapping[str, Number]])	Optional[Number]	key (type: str) sort (type: bool) reversed_sort (type: bool) default_value

{
  "delta_of_first_and_second_values": {
    "type": "string",
    "function": "field_delta",
    "source": "source_name",
    "args": [
      "age"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 20
    },
    {
      "name": "Bob",
      "age": 13
    },
    {
      "name": "Sharon",
      "age": 17
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "delta_of_first_and_second_values": 7
}

field_value_from_object

Function	Description	Sources	Output	Arguments
field_value_from_object	Returns the value of a field within an object	dict_object_value (type: Mapping)		field_name

{
  "city_name_from_obj": {
    "type": "string",
    "function": "field_value_from_object",
    "source": "source_name",
    "args": [
      "city"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": {
    "name": "Bob",
    "age": 23,
    "city": "New York"
  }
}
<EXAMPLE OUTPUT>
{
  "city_name_from_obj": "New York"
}

filter_according_to_boolean_array

Function	Description	Sources	Output	Arguments
filter_according_to_boolean_array	Returns the original array, filtered according to a same-length array of boolean values.	original_array_value boolean_array_value		should_invert

{
  "filtered_array": {
    "type": "string",
    "function": "filter_according_to_boolean_array",
    "sources": [
      "array_source_name",
      "boolean_array_source_name"
    ]
  }
}
<EXAMPLE INPUT>
{
  "array_source_name": [
    "cat",
    "cow",
    "dog",
    "sheep"
  ],
  "boolean_array_source_name": [
    true,
    true,
    false,
    true
  ]
}
<EXAMPLE OUTPUT>
{
  "filtered_array": [
    "cat",
    "cow",
    "sheep"
  ]
}

filter_array

Function	Description	Sources	Output	Arguments
filter_array	Returns a sub array for the given array of objects, according to whether the value in the given key of the object is from the possible values parameter. If the bool_evaluation parameter is set, will cast the value of the given key to bool before checking. if the key parameter is None, will evaluate the given values in the array directly, and will assume they are not dictionaries. The returned value is still an array of objects, and should therefore never be "saved" in the schema (use "do_not_save": true).	array_value (type: Sequence[Mapping])	Sequence	key (type: str) possible_values (type: Sequence) bool_evaluation (type: bool)

{
  "filtered_sub_array": {
    "type": "string",
    "function": "filter_array",
    "source": "source_name",
    "args": [
      "name",
      [
        "John",
        "Bob"
      ]
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Bob",
      "age": 20
    },
    {
      "name": "Sharon",
      "age": 17
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "filtered_sub_array": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Bob",
      "age": 20
    }
  ]
}

filter_array_by_blacklist

Function	Description	Sources	Output	Arguments
filter_array_by_blacklist	Returns a sub array for the given array of objects, according to whether the value in the given key of the object is not from the blacklisted_values. The returned value is still an array of objects, and should therefore never be "saved" in the schema (use "do_not_save": true).	array_value (type: Sequence[Mapping])	Sequence[Mapping]	key (type: str) blacklisted_values (type: Sequence)

{
  "filtered_sub_array": {
    "type": "string",
    "function": "filter_array_by_blacklist",
    "source": "source_name",
    "args": [
      "name",
      [
        "Bob",
        "Sharon"
      ]
    ],
    "do_not_use": true
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 14
    },
    {
      "name": "Bob",
      "age": 33
    },
    {
      "name": "Max",
      "age": 45
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "filtered_sub_array": [
    {
      "name": "John",
      "age": 14
    },
    {
      "name": "Max",
      "age": 45
    }
  ]
}

filter_array_by_valid_ranges

Function	Description	Sources	Output	Arguments
filter_array_by_valid_ranges	Returns a sub array for the given array of objects, according to whether the value in the given key of the object is in at least one of the given valid_ranges. If the given key is None, then this directive assumes the array isn't of objects, but of the actual numbers needed to be filtered according to the ranges. valid_ranges should be an array of pairs, which represent the minimum (inclusive) and maximum (exclusive) for each range. null (pythonic: None) can be used to suggest no minimum or no maximum.	array_value (type: Sequence[Union[Mapping[str, Number], Number]])	Sequence	key (type: str) valid_ranges (type: Sequence[Sequence[Number]])

{
  "filtered_sub_array": {
    "function": "filter_array_by_valid_ranges",
    "source": "source_name",
    "args": [
      "age",
      [
        [12,18],
        [30,35]
      ]
    ],
    "do_not_save": true
  },
  "filtred_sub_array_length": {
    "type": "numeric",
    "function": "array_length",
    "source": "filtered_sub_array"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Bob",
      "age": 20
    },
    {
      "name": "Sharon",
      "age": 17
    },
    {
      "name": "Bob",
      "age": 10
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "filtered_sub_array": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Sharon",
      "age": 17
    }
  ],
  "filtred_sub_array_length": 2
}

filter_array_static_key_and_dynamic_value

Function	Description	Sources	Output	Arguments
filter_array_static_key_and_dynamic_value	Returns a sub array for the given array of objects, according to whether the value in the given key of the object is equal to the compared value given dynamically as a source. The returned value is still an array of objects, and should therefore never be "saved" in the schema (use "do_not_save": true).	array_value (type: Sequence[Mapping]) compared_value	Sequence	key (type: str)

{
  "dynamically_filtered_sub_array": {
    "type": "string",
    "function": "filter_array_static_key_and_dynamic_value",
    "sources": [
      "array_value_source_name",
      "dynamic_value_source_name"
    ]
    "args": [
      "name"
    ]
  }
}
<EXAMPLE INPUT>
{
  "array_value_source_name": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Bob",
      "age": 20
    },
    {
      "name": "Sharon",
      "age": 17
    }
  ],
  "dynamic_value_source_name": "John"
}
<EXAMPLE OUTPUT>
{
  "dynamically_filtered_sub_array": [
    {
      "name": "John",
      "age": 13
    }
  ]
}

filter_duplicates

Function	Description	Sources	Output	Arguments
filter_duplicates	A directive for getting a new array, with filtered duplicates. If the given value is not an array - return the value as is.	array_value (type: Sequence)	Sequence

{
  "filtered_sub_array": {
    "type": "string",
    "function": "filter_duplicates",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [1,2,2,2,3,4]
}
<EXAMPLE OUTPUT>
{
  "filtered_sub_array": [1,2,3,4]
}

first_in_array

Function	Description	Sources	Output	Arguments
first_in_array	Returns the first value in an array.	array_value (type: Sequence)		default_value

{
  "first_value_in_array": {
    "type": "string",
    "function": "first_in_array",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    "John",
    "Bob",
    "Max"
  ]
}
<EXAMPLE OUTPUT>
{
  "first_value_in_array": "John"
}

flatten_array_recursive

Function	Description	Sources	Output	Arguments
flatten_array_recursive	A directive to flatten an array with nested arrays to one level.	array_value (type: Sequence)	Sequence

{
  "flattened_array": {
    "type": "string",
    "function": "flatten_array_recursive",
    "source": "array_source_name"
  }
}

{
  "array_source_name": [
    "bob",
    [
      "dog",
      "cat"
    ],
    "sharon"
  ]
}

{
  "flattened_array": [
    "bob",
    "dog",
    "cat",
    "sharon"
  ]
}

format_string

Function	Description	Sources	Output	Arguments
format_string	A directive for string formatting. If some of the input values are arrays, this function will output an array for all the possible combinations of the inputs.	input_values (type: Sequence)	str	template (type: str)

{
  "formatted_string_field": {
    "type": "string",
    "function": "format_string",
    "sources": [
      "source_name_1",
      "source_name_2"
    ],
    "args": [
      "{} and {} are co-workers"
    ]
  }
}
<EXAMPLE INPUT>
{
    "source_name_1": "John",
    "source_name_2": "Bob
}
<EXAMPLE OUTPUT>
{
    "formatted_string_field": "John and Bob are co-workers"
}

from_array_index

Function	Description	Sources	Output	Arguments
from_array_index	Returns the value in the given index in the given array.	array_value		index

{
  "value_of_index": {
    "type": "numeric",
    "function": "from_array_index",
    "source": array_source,
    "args": [
      2
    ]
  }
}
<EXAMPLE INPUT>
{
  "array_source": [10,12,6,3,11]
}
<EXAMPLE OUTPUT>
{
  "value_of_index": 6
}

geo_intersect

Function	Description	Sources	Output	Arguments
geo_intersect	A directive for calculating the intersection of two given polygons. The input should be GeoJson or TopoJson format or WKT (as a json or a json string) and the output will be returned as WKT string.	polygon1 polygon2

{
  "intersection_of_polygons": {
    "function": "geo_intersect",
    "sources": ["poly1", "poly2"],
    "type": "string"
  }
}
<EXAMPLE INPUT>
{
    [{
      "poly1": {
        "type": "Polygon",
        "coordinates": [[
          [-180,-90],
          [-180,90],
          [180,90],
          [180,-90],
          [-180,-90]
        ]]
      },
      "poly2": {
        "type": "Polygon",
        "coordinates": [[
            [-122.801742, 45.48565],
            [-122.801742, 45.60491],
            [-122.584762, 45.60491],
            [-122.584762, 45.48565],
            [-122.801742, 45.48565]
        ]]
      }
    }]
}
<EXAMPLE OUTPUT>
{
    ""intersection_of_polygons": POLYGON ((-122.801742 45.60491,
                -122.584762 45.60491,
                -122.584762 45.48565,
                -122.801742 45.48565,
                -122.801742 45.60491
    ))"
}

get_dict_key_on_check

Function	Description	Sources	Output	Arguments
get_dict_key_on_check	Return the value of a dict's key according to a check of check_key being equal to check_value (static value supplied from the configuration as an argument)	dict_objects_array_value (type: Sequence[Mapping])		key (type: str) check_key (type: str) check_value compare_as_floats (type: bool)

{
  "value_of_key_by_args": {
    "type": "string",
    "source": "source_name",
    "function": "get_dict_key_on_check",
    "args": [
      "b",
      "a",
      3
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "a": 1,
      "b": 2
    },
    {
      "a": 3,
      "b": 4
    },
    {
      "a": 5,
      "b": 6
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "value_of_key_by_args": "4"
}

get_dict_key_on_dynamic_check

Function	Description	Sources	Output	Arguments
get_dict_key_on_dynamic_check	Return the value of a dict's key according to a check of check_key being equal to dynamic value supplied from a source.	check_value dict_objects_array_value (type: Sequence[Mapping])		key (type: str) check_key (type: str) compare_as_floats (type: bool)

{
  "value_of_key_by_dynamic_check": {
    "type": "string",
    "sources": [
      "check_value_source",
      "source_name"
    ],
    "function": "get_dict_key_on_dynamic_check",
    "args": [
      "b",
      "a"
    ]
  }
}
<EXAMPLE INPUT>
{
  "check_value_source": 3,
  "source_name": [
    {
      "a": 1,
      "b": 2
    },
    {
      "a": 3,
      "b": 4
    },
    {
      "a": 5,
      "b": 6
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "value_of_key_by_dynamic_check": "4"
}

get_nth_highest_key

Function	Description	Sources	Output	Arguments
get_nth_highest_key	Returns the key of the nth highest value in a given dict.	dict_value (type: Mapping[str, Number])		n (type: int)

{
  "key_of_nth_highest_value": {
    "type": "numeric",
    "function": "get_nth_highest_key",
    "source": "source_name",
    "args": [
      1
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": {
    "average_age_1": 34,
    "average_age_2": 33,
    "average_age_3": 42
  }
}
<EXAMPLE OUTPUT>
{
  "key_of_nth_highest_value": "average_age_2"
}

get_nth_highest_value

Function	Description	Sources	Output	Arguments
get_nth_highest_value	Returns the nth highest value of all values in a given dict.	dict_value (type: Mapping[str, Number])		n (type: int)

{
  "nth_highest_value_of_keys": {
    "type": "numeric",
    "function": "get_nth_highest_value",
    "source": "source_name",
    "args": [
      1
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": {
    "average_age_1": 34,
    "average_age_2": 33,
    "average_age_3": 42
  }
}
<EXAMPLE OUTPUT>
{
  "nth_highest_value_of_keys": 33
}

get_top_key

Function	Description	Sources	Output	Arguments
get_top_key	Returns the key with the highest number in its value, from dictionary which maps strings to numbers.	dict_value (type: Mapping[str, Number])

{
   "key_of_highest_value": {
     "type": "string",
     "function": "get_top_key",
     "source": "source_name"
   }
 }
 <EXAMPLE INPUT>
 {
   "source_name": {
     "key_1": 4,
     "key_2": 12,
     "key_3": 7,
     "key_4": 22
   }
 }
 <EXAMPLE OUTPUT>
{
   "key_of_highest_value": "key_4"
 }

get_top_value

Function	Description	Sources	Output	Arguments
get_top_value	Returns the highest value of all values in a given dict.	dict_value (type: Mapping[str, Number])

{
  "highest_value_of_keys": {
    "type": "numeric",
    "function": "get_top_value",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": {
    "key_1": 4,
    "key_2": 12,
    "key_3": 7,
    "key_4": 22
  }
}
<EXAMPLE OUTPUT>
{
  "highest_value_of_keys": 22
}

hour_of_day_from_timestamp_seconds

Function	Description	Sources	Output	Arguments
hour_of_day_from_timestamp_seconds	Returns the hour of the day (UTC) from the given timestamp.	timestamp_value (type: Number)

{
  "hour_of_timestamp": {
    "type": "numeric",
    "function": "hour_of_day_from_timestamp_seconds",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": 1610569800
}
<EXAMPLE OUTPUT>
{
  "hour_of_timestamp": 20
}

identity

Function	Description	Sources	Output	Arguments
identity	A default identity field build function.	value

import_from_other_context_class

Function	Description	Sources	Output	Arguments
import_from_other_context_class	Imports the value of the field from other context class. Using the given foreign id value, fetch a corresponding existing CRC and returns the values in the foreign field. The string_to_replace_dot param allows to replace the dot character in the foreign_ids to a provided string.	foreign_ids (type: Union[str, list, tuple])		foreign_field (type: str) foreign_context_class (type: str) foreign_id_prefix string_to_replace_dot (type: str)

{
  "imported_value": {
    "type": "string",
    "function": "import_from_other_context_class",
    "source": "some_id",
    "args": [
      "name_of_field_in_other_context_class",
      "NAME_OF_OTHER_CONTEXT_CLASS"
    ]
  }
}

{
  "some_id": "532n-kl52-gs53-weg5"
}

{
  "imported_value": "value_of_field_in_other_context_class"
}

import_from_other_context_class_as_of

Function	Description	Sources	Output	Arguments
import_from_other_context_class_as_of	Imports the value of the field from another context class, as of a time in a given time field name in the importing CRC. This logic simulates the SQL join_asof function. NOTE: This function assumes all relevant numeric variables (in the source and in the foreign "as of" fields) are in the same format (e.g., not one in seconds and the other in milliseconds)	lookup_field_value as_of_field_value		foreign_lookup_field foreign_as_of_field foreign_imported_field foreign_context_class max_valid_range

{
  "imported_value": {
    "type": "numeric",
    "function": "import_from_other_context_class_as_of",
    "sources": [
        "lookup_field_name",
        "as_of_field_name"
    ],
    "args": [
      "foreign_lookup_field",
      "foreign_as_of_field",
      "foreign_imported_field",
      "foreign_context_class",
      "max_valid_range"
    ]
  }
}

{
  "city": "Amsterdam",
  "as_of": 1722169215000,
  "city_name",
  "updated_at",
  "population",
  "CITIES",
  3600
}

{
  "imported_value": 921402
}

is_in_dynamic_set

Function	Description	Sources	Output	Arguments
is_in_dynamic_set	A directive to check if a value is in a set of values.	value set_of_values (type: Sequence)	Optional[bool]

{
  "fields": {
    "value_is_in_set": {
      "type": "boolean",
      "function": "is_in_dynamic_set",
      "sources": ["source_name", "source_name_2"],
    },
  },
}
<EXAMPLE INPUT>
{
  "source_name": "John",
  "source_name_2": ["John", "Bob", "Frank", "Paul"]
}
<EXAMPLE OUTPUT>
{
  "value_is_in_set": true
}

is_in_other_array_mapper

Function	Description	Sources	Output	Arguments
is_in_other_array_mapper	A mapper directive for boolean values according to whether each value is in another array or not	first_array_value (type: Sequence) second_array_value (type: Sequence)	Sequence[bool]

{
  "boolean_values_according_to_sources": {
    "type": "boolean",
    "function": "is_in_other_array_mapper",
    "sources": [
      "source_name_1",
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": [
    "John",
    "Bob",
    "Sharon",
    "Joe"
  ],
  "source_name_2": [
    "Max",
    "Bob",
    "Peter",
    "Joe"
  ]
}
<EXAMPLE OUTPUT>
{
  "boolean_values_according_to_sources": [
    false,
    true,
    false,
    true
  ]
}

is_in_set

Function	Description	Sources	Output	Arguments
is_in_set	A directive to check if a value is in a given values set.	value	Optional[bool]	set_key (type: str) treat_missing_as_false (type: bool)

{
  "fields": {
    "value_is_in_set": {
      "type": "boolean",
      "function": "is_in_set",
      "source": "source_name",
      "args": [
        "set_name"
      ]
    },
  },
  "data": {
    "set_name": [
      "John",
      "Bob",
      "Frank",
      "Paul"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": "John"
}
<EXAMPLE OUTPUT>
{
  "value_is_in_set": true
}

is_monotone

Function	Description	Sources	Output	Arguments
is_monotone	A directive which checks if the given array is monotone.	array_value (type: Sequence)	bool	ascending use_weak

{
  "array_is_monotone": {
    "type": "boolean",
    "function": "is_monotone",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [1,3,4,6,12]
}
<EXAMPLE OUTPUT>
{
  "array_is_monotone": true
}

keep_only_digits

Function	Description	Sources	Output	Arguments
keep_only_digits	A directive which takes a string (or array of strings) and returns that string only with its digits, stripping away all non-digit characters.	actual_value (type: Union[str, Sequence[str]])

{
  "digits_from_string": {
    "type": "string",
    "source": "source_name",
    "function": "keep_only_digits"
  }
}
<EXAMPLE INPUT>
{
  "source_name": "fe223"
}
<EXAMPLE OUTPUT>
{
  "digits_from_string": "223"
}

last_in_array

Function	Description	Sources	Output	Arguments
last_in_array	Returns the last value in an array.	array_value (type: Sequence)		default_value

{
  "last_value_in_array": {
    "type": "string",
    "function": "last_in_array",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    "John",
    "Bob",
    "Max"
  ]
}
<EXAMPLE OUTPUT>
{
  "last_value_in_array": "Max"
}

max_delta

Function	Description	Sources	Output	Arguments
max_delta	A directive which returns the delta between the min and max numbers in a given source array.	array_value (type: Sequence[Number])	Number

{
  "delta_of_highest_and_lowest_values": {
    "type": "numeric",
    "function": "max_delta",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": [1,3,12,6,4]
}
<EXAMPLE OUTPUT>
{
  "delta_of_highest_and_lowest_values": 11
}

max_value

Function	Description	Sources	Output	Arguments
max_value	Returns the max value from list of (dynamic) multiple numeric value sources. Not suitable for numerical array sources.	numeric_values (type: Sequence[Optional[Number]])	Optional[Number]

{
  "highest_value_from_sources": {
    "type": "numeric",
    "function": "max_value",
    "sources": [
      "source_name_1",
      "source_name_2",
      "source_name_3"
    ]
  }
}

{
  "source_name_1": 5,
  "source_name_2": 10,
  "source_name_3": 7
}

{
  "highest_value_from_sources": 10
}

month_from_timestamp

Function	Description	Sources	Output	Arguments
month_from_timestamp	A directive to get the month of the year of a given timestamp.	timestamp_value (type: Number)	Number

{
  "month_in_number": {
    "type": "numeric",
    "function": "month_from_timestamp",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": 1610569800
}
<EXAMPLE OUTPUT>
{
  "month_in_number": 1
}

multiply

Function	Description	Sources	Output	Arguments
multiply	Returns the product of all the input values. If the inputs are arrays, then they have to be of the same length, and the result will be an array of that same length with all the products for each index.	input_values

{
  "product_of_multiplication": {
    "type": "numeric",
    "sources": [
      "numeric_source_1",
      "numeric_source_2"
    ],
    "function": "multiply"
  }
}
<EXAMPLE INPUT>
{
  "numeric_source_1": 5,
  "numeric_source_2": 10
}
<EXAMPLE OUTPUT>
{
  "product_of_multiplication": 50
}

multiply_by_const

Function	Description	Sources	Output	Arguments
multiply_by_const	A directive for multiplying a value by a constant given as an arg. # TODO(adi): We assume here that zero means null, we should split this# function to multiply_by_const_no_zero.	original_value (type: Optional[Number])	Number	multiplier

{
  "product_of_multiplication": {
    "type": "numeric",
    "source": "numeric_source",
    "function": "multiply_by_const",
    "args": [
      "10"
    ]
  }
}
<EXAMPLE INPUT>
{
  "numeric_source": 5
}
<EXAMPLE OUTPUT>
{
  "product_of_multiplication": 50
}

negative_check

Function	Description	Sources	Output	Arguments
negative_check	A directive to check for the negative value of the specified value. Returns True if the value is False.	boolean_value (type: bool)	Optional[bool]	treat_missing_as_false (type: bool)

{
  "value_is_negative": {
    "type": "boolean",
    "function": "negative_check",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
  "source_name": false
}
<EXAMPLE OUTPUT>
{
  "value_is_negative": true
}

object_values_as_array

Function	Description	Sources	Output	Arguments
object_values_as_array	Returns the values of a dict as an array. Fields using this function should never be saved to crc (use "do_not_save": true in field config). TODO(itai): Create a decorator which tags such functions and doesn't allow them to be saved.	dict_value (type: Optional[Mapping])	Sequence

{
  "array_of_values_from_object": {
    "type": "string",
    "function": "object_values_as_array",
    "source": "source_name",
    "do_not_save": true
  }
}
<EXAMPLE INPUT>
{
  "source_name": {
    "name": "John",
    "age": 30,
    "city": "New York"
  }
}
<EXAMPLE OUTPUT>
{
  "array_of_values_from_object": [
    "John",
    30,
    "New York"
  ]
}

parse_datetime_to_timestamp_seconds

Function	Description	Sources	Output	Arguments
parse_datetime_to_timestamp_seconds	A directive for parsing a datetime object into epoch timestamp seconds. If the allow_timestamps flag is set to true, the directive will not reject plain timestamps and will return a given timestamp in seconds. Can work on lists as well.	value (type: Union[str, int, Sequence[str], Sequence[int]])	Union[Number, Sequence[Number]]	python_datetime_formats (type: Union[str, Sequence[str]]) allow_timestamps (type: bool)

{
  "timestamp_from_date": {
    "type": "numeric",
    "source": "datetime_object_source",
    "function": "parse_datetime_to_timestamp_seconds",
    "args": [
      ["%m/%d/%Y, %H:%M:%S", "%H:%M:%S-%m-%d-%Y"]
    ]
  }
}
<EXAMPLE INPUT>
{
  "datetime_object_source": "02/14/2021, 20:30:00"
}
<EXAMPLE OUTPUT>
{
  "timestamp_from_date": 1613334600
}
<EXAMPLE INPUT>
{
  "datetime_object_source": ["02/14/2021, 20:30:00", "02/18/2021, 08:30:00"]
}
<EXAMPLE OUTPUT>
{
  "timestamp_from_date": [1613334600, 1613637000]
}
<EXAMPLE INPUT>
{
  "datetime_object_source": "1613334600000",
  "allow_timestamps": "true"
}
<EXAMPLE OUTPUT>
{
  "timestamp_from_date": 1613334600
}

powerset_concat

Function	Description	Sources	Output	Arguments
powerset_concat	A directive which returns the powerset of the given array, with its values concatanated to one string for each subset.	array_value (type: Sequence)	Sequence[str]	separator (type: str) min_subset_size (type: int) max_subset_size (type: int)

{
  "stringified_concatenated_powerset": {
    "type": "string",
    "source": "source_name",
    "function": "powerset_concat",
    "args": [
      ", "
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [1,2,3]
}
<EXAMPLE OUTPUT>
{
  "stringified_concatenated_powerset": [
    "1.0",
    "2.0",
    "3.0",
    "1.0, 2.0",
    "1.0, 3.0",
    "2.0, 3.0",
    "1.0, 2.0, 3.0"
  ]
}

put_value_according_to_bool

Function	Description	Sources	Output	Arguments
put_value_according_to_bool	A directive which returns a value according a source boolean.	bool_value (type: bool)		use_on_false use_on_true

{
  "value_according_to_boolean": {
    "type": "string",
    "source": "boolean_source",
    "function": "put_value_according_to_bool",
    "args": [
      "dogs",
      "cats"
    ]
  },
  "value_according_to_boolean_2": {
    "type": "string",
    "source": "boolean_source_2",
    "function": "put_value_according_to_bool",
    "args": [
      "dogs",
      "cats"
    ]
  }
}
<EXAMPLE INPUT>
{
  "boolean_source": true,
  "boolean_source_2": false
}
<EXAMPLE OUTPUT>
{
  "value_according_to_boolean": "cats",
  "value_according_to_boolean_2": "dogs"
}

range_check

Function	Description	Sources	Output	Arguments
range_check	Checks if a value is in one of the given ranges. If given an array as source input, will return a boolean response for each index in the array.	numeric_value		ranges (type: Sequence[Mapping[str, Mapping[str, Union[Number, bool]]]])

{
  "value_is_in_range": {
    "type": "boolean",
    "function": "range_check",
    "source": "source_name",
    "args": [
      [
        {
          "left": {
            "value": 100,
            "inclusive": false
          }
        }
      ]
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": 150
}
<EXAMPLE OUTPUT>
{
  "value_is_in_range": true
}

remove_if_false

Function	Description	Sources	Output	Arguments
remove_if_false	Returns first value if the boolean value is true, else None.	first_value boolean_value (type: bool)

{
  "first_value_if_true": {
    "type": "numeric",
    "function": "remove_if_false",
    "sources": [
      "source_name_1",
      "source_name_2"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": 10,
  "source_name_2": false
}
<EXAMPLE OUTPUT>
{
  "first_value_if_true": null
}

replace_char

Function	Description	Sources	Output	Arguments
replace_char	A directive which gets a string or list of strings value, and returns it with char_to_replace replaced by char_to_insert.	original_string_or_string_list		char_to_replace char_to_insert

{
  "string_with_char_replaced_field_name": {
    "type": "string",
    "function": "replace_char",
    "source": "source_string"
    "args": "p", "l"
  }
  "string_list_with_char_replaced_field_name": {
    "type": "string",
    "function": "replace_char",
    "source": "source_string_array"
    "args": " ", ""
}
<EXAMPLE INPUT>
{
    "source_string": "hocus pocus"
    "source_string_array": ["hocus pocus", "abra cadabra"]
}
<EXAMPLE OUTPUT>
{
    "string_with_char_replaced_field_name": "hucus locus"
    "string_list_with_char_replaced_field_name": ["hocuspocus", "abracadabra"]
}

season_from_timestamp

Function	Description	Sources	Output	Arguments
season_from_timestamp	A directive to get the season of the year of a given timestamp.	timestamp_value (type: Number)		is_northern_hemisphere

{
  "season_of_timestamp_north": {
    "type": "string",
    "function": "season_from_timestamp",
    "source": "source_name",
    "args": [
      true
    ]
  },
  "season_of_timestamp_south": {
    "type": "string",
    "function": "season_from_timestamp",
    "source": "source_name",
    "args": [
      false
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": 1610569800
}
<EXAMPLE OUTPUT>
{
  "season_of_timestamp_north": "winter",
  "season_of_timestamp_south": "summer"
}

shannon_entropy

Function	Description	Sources	Output	Arguments
shannon_entropy	Returns the shannon entropy of the values in the given array. the entropy is calculated as S = -sum(array_value * log(array_value), axis=axis). This routine will normalize the values if they don’t sum to 1. When use_base_2=false, the log base is e.	array_value		use_base_2

{
  "array_shannon_entropy": {
    "type": "numeric",
    "function": "shannon_entropy",
    "source": "array_source_name"
  }
},
{
  "array_shannon_entropy_base_2": {
    "type": "numeric",
    "function": "shannon_entropy",
    "source": "array_source_name",
    "args":[
        true
    ]
  }
}
<EXAMPLE INPUT>
{
  "array_source_name": [1/2,1/2]
}
<EXAMPLE OUTPUT>
{
  "array_shannon_entropy": 0.6931471805599453
},
{
  "array_shannon_entropy_base_2": 1
}

sort_and_concat_mapper

Function	Description	Sources	Output	Arguments
sort_and_concat_mapper	A mapper directive which, for every (sequence) element in the source array, sorts and concats as string using the given separator string.	array_value (type: Sequence[Sequence])	Sequence	separator

{
  "mapped_and_sorted_arrays": {
    "type": "string",
    "function": "sort_and_concat_mapper",
    "source": "source_name",
    "args": [
      ", "
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    [
      "John",
      "Bob",
      "Sharon",
      "Joe"
    ],
    [
      3,
      2,
      6,
      4
    ],
    [
      "dog",
      "cat",
      "monkey"
    ]
  ]
}
<EXAMPLE OUTPUT>
{
  "mapped_and_sorted_arrays": [
    [
      "Bob, Joe, John, Sharon"
    ],
    [
      "2, 3, 4, 6"
    ],
    [
      "cat, dog, monkey"
    ]
  ]
}

sort_array_of_objects_by_key

Function	Description	Sources	Output	Arguments
sort_array_of_objects_by_key	Returns the given array, sorted by the sort_key. If there a none value under sort_key, we remove it before sorting.	array_value (type: Sequence)	Optional[Sequence]	sort_key (type: str) reverse

{
  "sorted_array": {
    "function": "sort_array_of_objects_by_key",
    "source": "source_name",
    "do_not_save": true,
    "args": [
      "age"
    ]
  },
  "first_in_sorted_array": {
    "function": "first_in_array",
    "source": "sorted_array",
    "do_not_save": true
  },
  "age_of_first_in_sorted_array": {
    "type": "numeric",
    "function": "field_value_from_object",
    "source": "first_in_sorted_array",
    "args": [
      "age"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 20
    },
    {
      "name": "Bob",
      "age": 30
    },
    {
      "name": "Max",
      "age": 19
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "age_of_first_in_sorted_array": "19"
}

split_string_to_array

Function	Description	Sources	Output	Arguments
split_string_to_array	A directive to split a string into an array.	string_value (type: str)	Sequence[str]	separator (type: str) array_wrapping_char (type: str) inner_string_wrapping_char (type: str)

{
  "array_of_strings_after_split": {
    "type": "string",
    "function": "split_string_to_array",
    "source": "string_source_name",
    "args": [
      ", "
    ]
  }
}

{
  "string_source_name": "cat, dog, frog"
}

{
  "array_of_strings_after_split": ["cat","dog","frog"]
}

sub_array

Function	Description	Sources	Output	Arguments
sub_array	Returns a sub array for the given array	array_value (type: Sequence)	Optional[Sequence]	start_index (type: int) end_index (type: int) default_value

{
  "sub_array_according_to_args": {
    "type": "string",
    "function": "sub_array",
    "source": "source_name",
    "args": [
      2,
      5
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [1,2,3,4,5,6,7,8]
}
<EXAMPLE OUTPUT>
{
  "sub_array_according_to_args": [3,4,5,6]
}

sum_array

Function	Description	Sources	Output	Arguments
sum_array	Returns the sum of all values in the given array.	array_value

{
  "sum_of_array": {
    "type": "numeric",
    "function": "sum_array",
    "source": "array_source_name"
  }
}
<EXAMPLE INPUT>
{
  "array_source_name": [1,3,4]
}
<EXAMPLE OUTPUT>
{
  "sum_of_array": 8
}

sum_field_in_array

Function	Description	Sources	Output	Arguments
sum_field_in_array	A directive which returns the sum of the values of a key in an array of dict objects.	array_value (type: Sequence[Mapping[str, Number]])	Number	key (type: str)

{
  "sum_of_values_by_key": {
    "type": "numeric",
    "function": "sum_field_in_array",
    "source": "source_name",
    "args": [
      "age"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name": [
    {
      "name": "John",
      "age": 13
    },
    {
      "name": "Bob",
      "age": 20
    },
    {
      "name": "Sharon",
      "age": 17
    }
  ]
}
<EXAMPLE OUTPUT>
{
  "sum_of_values_by_key": 50
}

sum_formula

Function	Description	Sources	Output	Arguments
sum_formula	A directive for summing (dynamic) multiple numeric value sources. Not suitable for numerical array sources.	numeric_values (type: Sequence[Optional[Number]])	Number

{
  "sum_of_formula_sources": {
    "type": "numeric",
    "function": "sum_formula",
    "sources": [
      "source_name_1",
      "source_name_2",
      "source_name_3"
    ]
  }
}
<EXAMPLE INPUT>
{
  "source_name_1": 5,
  "source_name_2": 6,
  "source_name_3": 10
}
<EXAMPLE OUTPUT>
{
  "sum_of_formula_sources": 21
}

timestamp_delta_days

Function	Description	Sources	Output	Arguments
timestamp_delta_days	A directive for calculating days delta of two timestamps (provided in seconds/millis).	first_timestamp (type: Optional[Number]) second_timestamp (type: Optional[Number])	Optional[Number]	default_value

{
  "delta_of_timestamps_in_days": {
    "type": "numeric",
    "sources": [
      "primary_source",
      "secondary_source"
    ],
    "function": "timestamp_delta_days"
  }
}
<EXAMPLE INPUT>
{
  "primary_source": 1613334600,
  "secondary_source": 1613248200
}
<EXAMPLE OUTPUT>
{
  "delta_of_timestamps_in_days": 1
}

to_int_string

Function	Description	Sources	Output	Arguments
to_int_string	A directive which gets a numeric (or numeric-convertible) value, and returns its string representation, rounded, without decimal point.	original_value	str

{
  "numeric_to_int_field_name": {
    "type": "string",
    "function": "to_int_string",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
    "source_name": 4.55
}
<EXAMPLE OUTPUT>
{
    "numeric_to_int_field_name": "4"
}

use_value_mapping

Function	Description	Sources	Output	Arguments
use_value_mapping	A directive which returns the mapped value of a key value.	key_value (type: str)		mapper (type: str)

{
  "fields": {
    "mapped_value_of_key": {
      "type": "string",
      "function": "use_value_mapping",
      "source": "key_source_name",
      "args": [
        "mapper_data_name"
      ]
    }
  },
  "data": {
    "second_set": {
      "A": "Dogs",
      "B": "Cats",
      "F": "Monkeys",
      "D": "Cows",
      "E": "Birds"
    }
  }
}
<EXAMPLE INPUT>
{
  "key_source_name": "B"
}
<EXAMPLE OUTPUT>
{
  "mapped_value_of_key": "Cats"
}

zip_to_us_state

Function	Description	Sources	Output	Arguments
zip_to_us_state	A directive which gets a US zip code value and returns the US state code it belongs to. If the zip not found (or given an invalid value) - returns INVALID string.	string_or_int_value (type: Union[str, int])	str

{
  "zip_code_to_state_field_name": {
    "type": "string",
    "function": "zip_to_us_state",
    "source": "source_name"
  }
}
<EXAMPLE INPUT>
{
    "source_name": 90401
}
<EXAMPLE OUTPUT>
{
    "zip_code_to_state_field_name": "CA"
}