Tool to convert CSV files based on JSON config.
Project description
A simple tool that uses a JSON config file (or a config dict) to convert one CSV to another.
Simplest use case is to just list the new headers and link them to the old headers, like so:
{
"New Column Header One": "Old Column Header One",
"New Column Header Two": "Old Column Header Two"
}
A slightly more useful version specifies a default to use (implemented using the "or" operator value_from_old_column or default
):
{
"New Header One": {
"old_column": "Old Header One",
"default": "DEFAULT VALUE FOR ONE"
},
"New Header Two": {
"old_column": "Old Header Two",
"default": "DEFAULT VALUE FOR TWO"
}
}
The third and final currently implemented option is to use a lambda function (use of full functions is planned):
{
"New Header One": {
"old_column": "Old Header One",
"default": "DEFAULT FOR ONE",
"lambda": "lambda a, b: str(a.get(b.get('old_column'))).lower()"
},
"New Header Two": {
"old_column": "Old Header Two",
"default": "DEFAULT FOR TWO",
"lambda": "lambda a, b: str(a.get(b.get('old_column'))).lower()"
}
}
It will run the lambda as:
item['lambda'] = "lambda a, b: str(a.get(b.get('old_column'))).lower()"
exec(f"c = {item.get('lambda')}", globals())
return c(line, item)
Where line
is the current line of the source CSV, and item
is the current element from the JSON file (the current column).
Usage:
from csv_converter import CSVConverter
converter = CSVConverter(config_file_name='path-to-config.json')
output = converter.convert(input_file_name='path-to-source.csv')
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