122 lines
4.8 KiB
Python
122 lines
4.8 KiB
Python
import os
|
|
import json
|
|
from unittest import TestCase
|
|
|
|
from ..._compat import decodebytes
|
|
from ..nbjson import reads, writes
|
|
from .. import nbjson, nbformat, nbformat_minor
|
|
from .nbexamples import nb0
|
|
|
|
from . import formattest
|
|
|
|
|
|
class TestJSON(formattest.NBFormatTest, TestCase):
|
|
|
|
nb0_ref = None
|
|
ext = 'ipynb'
|
|
mod = nbjson
|
|
|
|
def test_roundtrip_nosplit(self):
|
|
"""Ensure that multiline blobs are still readable"""
|
|
# ensures that notebooks written prior to splitlines change
|
|
# are still readable.
|
|
s = writes(nb0, split_lines=False)
|
|
self.assertEqual(nbjson.reads(s),nb0)
|
|
|
|
def test_roundtrip_split(self):
|
|
"""Ensure that splitting multiline blocks is safe"""
|
|
# This won't differ from test_roundtrip unless the default changes
|
|
s = writes(nb0, split_lines=True)
|
|
self.assertEqual(nbjson.reads(s),nb0)
|
|
|
|
def test_splitlines(self):
|
|
"""Test splitlines in mime-bundles"""
|
|
s = writes(nb0, split_lines=True)
|
|
raw_nb = json.loads(s)
|
|
|
|
for i, ref_cell in enumerate(nb0.cells):
|
|
if ref_cell.source.strip() == 'Cell with attachments':
|
|
attach_ref = ref_cell['attachments']['attachment1']
|
|
attach_json = raw_nb['cells'][i]['attachments']['attachment1']
|
|
if ref_cell.source.strip() == 'json_outputs()':
|
|
output_ref = ref_cell['outputs'][0]['data']
|
|
output_json = raw_nb['cells'][i]['outputs'][0]['data']
|
|
|
|
for key, json_value in attach_json.items():
|
|
if key == 'text/plain':
|
|
# text should be split
|
|
assert json_value == attach_ref['text/plain'].splitlines(True)
|
|
else:
|
|
# JSON attachments
|
|
assert json_value == attach_ref[key]
|
|
|
|
# check that JSON outputs are left alone:
|
|
for key, json_value in output_json.items():
|
|
if key == 'text/plain':
|
|
# text should be split
|
|
assert json_value == output_ref['text/plain'].splitlines(True)
|
|
else:
|
|
# JSON outputs should be left alone
|
|
assert json_value == output_ref[key]
|
|
|
|
def test_read_png(self):
|
|
"""PNG output data is b64 unicode"""
|
|
s = writes(nb0)
|
|
nb1 = nbjson.reads(s)
|
|
found_png = False
|
|
for cell in nb1.cells:
|
|
if not 'outputs' in cell:
|
|
continue
|
|
for output in cell.outputs:
|
|
if not 'data' in output:
|
|
continue
|
|
if 'image/png' in output.data:
|
|
found_png = True
|
|
pngdata = output.data['image/png']
|
|
self.assertEqual(type(pngdata), str)
|
|
# test that it is valid b64 data
|
|
b64bytes = pngdata.encode('ascii')
|
|
raw_bytes = decodebytes(b64bytes)
|
|
assert found_png, "never found png output"
|
|
|
|
def test_read_jpeg(self):
|
|
"""JPEG output data is b64 unicode"""
|
|
s = writes(nb0)
|
|
nb1 = nbjson.reads(s)
|
|
found_jpeg = False
|
|
for cell in nb1.cells:
|
|
if not 'outputs' in cell:
|
|
continue
|
|
for output in cell.outputs:
|
|
if not 'data' in output:
|
|
continue
|
|
if 'image/jpeg' in output.data:
|
|
found_jpeg = True
|
|
jpegdata = output.data['image/jpeg']
|
|
self.assertEqual(type(jpegdata), str)
|
|
# test that it is valid b64 data
|
|
b64bytes = jpegdata.encode('ascii')
|
|
raw_bytes = decodebytes(b64bytes)
|
|
assert found_jpeg, "never found jpeg output"
|
|
|
|
def test_latest_schema_matches(self):
|
|
"""Test to ensure all schema is locked to a known version"""
|
|
assert nbformat == 4
|
|
assert nbformat_minor == 4
|
|
|
|
def test_base_version_matches_latest(self):
|
|
"""Test to ensure latest version file matches latest verison"""
|
|
with open(os.path.join(os.path.dirname(__file__), '..', 'nbformat.v4.schema.json'), 'r') as schema_file:
|
|
latest_schema = json.load(schema_file)
|
|
with open(os.path.join(os.path.dirname(__file__), '..', 'nbformat.v{major}.{minor}.schema.json'.format(
|
|
major=nbformat, minor=nbformat_minor)), 'r') as schema_file:
|
|
ver_schema = json.load(schema_file)
|
|
assert latest_schema == ver_schema
|
|
|
|
def test_latest_matches_nbformat(self):
|
|
"""Test to ensure that the nbformat version matches the description of the latest schema"""
|
|
with open(os.path.join(os.path.dirname(__file__), '..', 'nbformat.v4.schema.json'), 'r') as schema_file:
|
|
schema = json.load(schema_file)
|
|
assert schema['description'] == 'Jupyter Notebook v{major}.{minor} JSON schema.'.format(
|
|
major=nbformat, minor=nbformat_minor
|
|
)
|