formatcheck.py documentation

Global Functions

Function Name	Description
add_item(key,value,dictionary)	Adds value to the List corresponding to key
get_com_pro(col)	Returns a String depending on if "Product", "Commodity", or neither are present in col
get_prefix(name)	Returns a String determined by keywords in name
split_unit(string)	Returns a List, splitting Item and Unit

Class: Setup

Dependencies: Pandas

Keyword Arguments:
    file -- A Pandas DataFrame
    type -- Prefix for the config file, derived from sample file name

Constuctor

class Setup(file): Returns a Setup object with __slots__=[file]

Methods

Method Name	Description
get_header(file)	Returns a List of Columns based on given DataFrame
get_unit_dict(file)	Returns a Dictionary mapping of Items and Units
get_misc_cols(file)	Returns a Dictionary mapping of Fields and Expected Values
make_config_path()	Creates a new folder "config" if not present in current working directory
write_config(type)	Writes a json file based on given DataFrame

Class: FormatChecker

Dependencies: Pandas

Keyword Arguments:
    file -- A Pandas DataFrame
    type -- Prefix for the config file, derived from sample file name

Constuctor

class FormatChecker(type): Returns a FormatChecker with a json-based dictionary

Methods

Method Name	Description
get_w_count(file)	Returns number of W's found for Volume and Location
check_header(file)	Checks header for Order and missing or unexpected field names
check_misc_cols(file)	Checks non-numerical columns for Unexpected Values
check_nan(file)	Checks if specific columns are missing values
check_unit_dict(file)	Checks commodities/products for New items or Unexpected units of measurement
read_config(type)	Returns an decoded json object