1.7 KiB
1.7 KiB
Exercise 3.7 - Solution
(a) Interfaces
# tableformat.py
def print_table(records, fields, formatter):
if not isinstance(formatter, TableFormatter):
raise TypeError('Expected a TableFormatter')
formatter.headings(fields)for r in records:
= [getattr(r, fieldname) for fieldname in fields]
rowdata
formatter.row(rowdata) ...
(b) Abstract Base Classes
# tableformat.py
from abc import ABC, abstractmethod
class TableFormatter(ABC):
@abstractmethod
def headings(self, headers):
pass
@abstractmethod
def row(self, rowdata):
pass
(c) Algorithm Template Classes
# reader.py
import csv
from abc import ABC, abstractmethod
class CSVParser(ABC):
def parse(self, filename):
= []
records with open(filename) as f:
= csv.reader(f)
rows = next(rows)
headers for row in rows:
= self.make_record(headers, row)
record
records.append(record)return records
@abstractmethod
def make_record(self, headers, row):
pass
class DictCSVParser(CSVParser):
def __init__(self, types):
self.types = types
def make_record(self, headers, row):
return { name: func(val) for name, func, val in zip(headers, self.types, row) }
class InstanceCSVParser(CSVParser):
def __init__(self, cls):
self.cls = cls
def make_record(self, headers, row):
return self.cls.from_row(row)
def read_csv_as_dicts(filename, types):
= DictCSVParser(types)
parser return parser.parse(filename)
def read_csv_as_instances(filename, cls):
= InstanceCSVParser(cls)
parser return parser.parse(filename)