Files
OneForAll-mirror/common/tablib/format.py
T
2020-08-29 00:42:02 +08:00

121 lines
3.0 KiB
Python

""" Tablib - JSON Support
"""
import decimal
import json
from uuid import UUID
from . import tablib
def serialize_objects_handler(obj):
if isinstance(obj, (decimal.Decimal, UUID)):
return str(obj)
elif hasattr(obj, 'isoformat'):
return obj.isoformat()
else:
return obj
class JSONFormat:
title = 'json'
extensions = ('json',)
@classmethod
def export_set(cls, dataset):
"""Returns JSON representation of Dataset."""
return json.dumps(dataset.dict, default=serialize_objects_handler)
@classmethod
def export_book(cls, databook):
"""Returns JSON representation of Databook."""
return json.dumps(databook._package(), default=serialize_objects_handler)
@classmethod
def import_set(cls, dset, in_stream):
"""Returns dataset from JSON stream."""
dset.wipe()
dset.dict = json.load(in_stream)
@classmethod
def import_book(cls, dbook, in_stream):
"""Returns databook from JSON stream."""
dbook.wipe()
for sheet in json.load(in_stream):
data = tablib.Dataset()
data.title = sheet['title']
data.dict = sheet['data']
dbook.add_sheet(data)
@classmethod
def detect(cls, stream):
"""Returns True if given stream is valid JSON."""
try:
json.load(stream)
return True
except (TypeError, ValueError):
return False
""" Tablib - *SV Support.
"""
import csv
from io import StringIO
class CSVFormat:
title = 'csv'
extensions = ('csv',)
DEFAULT_DELIMITER = ','
@classmethod
def export_stream_set(cls, dataset, **kwargs):
"""Returns CSV representation of Dataset as file-like."""
stream = StringIO()
kwargs.setdefault('delimiter', cls.DEFAULT_DELIMITER)
_csv = csv.writer(stream, **kwargs)
for row in dataset._package(dicts=False):
_csv.writerow(row)
stream.seek(0)
return stream
@classmethod
def export_set(cls, dataset, **kwargs):
"""Returns CSV representation of Dataset."""
stream = cls.export_stream_set(dataset, **kwargs)
return stream.getvalue()
@classmethod
def import_set(cls, dset, in_stream, headers=True, **kwargs):
"""Returns dataset from CSV stream."""
dset.wipe()
kwargs.setdefault('delimiter', cls.DEFAULT_DELIMITER)
rows = csv.reader(in_stream, **kwargs)
for i, row in enumerate(rows):
if (i == 0) and (headers):
dset.headers = row
elif row:
if i > 0 and len(row) < dset.width:
row += [''] * (dset.width - len(row))
dset.append(row)
@classmethod
def detect(cls, stream, delimiter=None):
"""Returns True if given stream is valid CSV."""
try:
csv.Sniffer().sniff(stream.read(1024), delimiters=delimiter or cls.DEFAULT_DELIMITER)
return True
except Exception:
return False