# reader.py
import csv
import logging
log = logging.getLogger(__name__)
def convert_csv(lines, converter, *, headers=None):
rows = csv.reader(lines)
if headers is None:
headers = next(rows)
records = []
for rowno, row in enumerate(rows, start=1):
try:
records.append(converter(headers, row))
except ValueError as e:
log.warning('Row %s: Bad row: %s', rowno, row)
log.debug('Row %s: Reason: %s', rowno, row)
return records
def csv_as_dicts(lines, types, *, headers=None):
return convert_csv(lines,
lambda headers, row: { name: func(val) for name, func, val in zip(headers, types, row) })
def csv_as_instances(lines, cls, *, headers=None):
return convert_csv(lines,
lambda headers, row: cls.from_row(row))
def read_csv_as_dicts(filename, types, *, headers=None):
'''
Read CSV data into a list of dictionaries with optional type conversion
'''
with open(filename) as file:
return csv_as_dicts(file, types, headers=headers)
def read_csv_as_instances(filename, cls, *, headers=None):
'''
Read CSV data into a list of instances
'''
with open(filename) as file:
return csv_as_instances(file, cls, headers=headers)
Back