You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
87 lines
3.1 KiB
87 lines
3.1 KiB
"""Tests for the extractoutput preprocessor"""
|
|
|
|
# Copyright (c) IPython Development Team.
|
|
# Distributed under the terms of the Modified BSD License.
|
|
|
|
import json
|
|
|
|
from .base import PreprocessorTestsBase
|
|
from ..extractoutput import ExtractOutputPreprocessor
|
|
|
|
|
|
class TestExtractOutput(PreprocessorTestsBase):
|
|
"""Contains test functions for extractoutput.py"""
|
|
|
|
def build_preprocessor(self):
|
|
"""Make an instance of a preprocessor"""
|
|
preprocessor = ExtractOutputPreprocessor()
|
|
preprocessor.extract_output_types = {'text/plain', 'image/png', 'application/pdf'}
|
|
preprocessor.enabled = True
|
|
return preprocessor
|
|
|
|
def test_constructor(self):
|
|
"""Can a ExtractOutputPreprocessor be constructed?"""
|
|
self.build_preprocessor()
|
|
|
|
def test_output(self):
|
|
"""Test the output of the ExtractOutputPreprocessor"""
|
|
nb = self.build_notebook()
|
|
res = self.build_resources()
|
|
preprocessor = self.build_preprocessor()
|
|
nb, res = preprocessor(nb, res)
|
|
# Check if text was extracted.
|
|
output = nb.cells[0].outputs[1]
|
|
self.assertIn('filenames', output.metadata)
|
|
self.assertIn('text/plain', output.metadata.filenames)
|
|
text_filename = output.metadata.filenames['text/plain']
|
|
|
|
# Check if png was extracted.
|
|
output = nb.cells[0].outputs[6]
|
|
self.assertIn('filenames', output.metadata)
|
|
self.assertIn('image/png', output.metadata.filenames)
|
|
png_filename = output.metadata.filenames['image/png']
|
|
|
|
# Check that pdf was extracted
|
|
output = nb.cells[0].outputs[7]
|
|
self.assertIn('filenames', output.metadata)
|
|
self.assertIn('application/pdf', output.metadata.filenames)
|
|
pdf_filename = output.metadata.filenames['application/pdf']
|
|
|
|
# Verify text output
|
|
self.assertIn(text_filename, res['outputs'])
|
|
self.assertEqual(res['outputs'][text_filename], b'b')
|
|
|
|
# Verify png output
|
|
self.assertIn(png_filename, res['outputs'])
|
|
self.assertEqual(res['outputs'][png_filename], b'g')
|
|
|
|
# Verify pdf output
|
|
self.assertIn(pdf_filename, res['outputs'])
|
|
self.assertEqual(res['outputs'][pdf_filename], b'h')
|
|
|
|
def test_json_extraction(self):
|
|
nb = self.build_notebook(with_json_outputs=True)
|
|
res = self.build_resources()
|
|
preprocessor = self.build_preprocessor()
|
|
preprocessor.extract_output_types = {'application/json'}
|
|
nb, res = preprocessor(nb, res)
|
|
reference = self.build_notebook(with_json_outputs=True).cells[0].outputs
|
|
|
|
# Verify cell untouched
|
|
self.assertEqual(
|
|
[out.get('data') for out in nb.cells[0].outputs],
|
|
[out.get('data') for out in reference]
|
|
)
|
|
|
|
outputs = sorted(res['outputs'].values())
|
|
reference_files = []
|
|
for out in reference:
|
|
try:
|
|
data = out['data']['application/json']
|
|
reference_files.append(json.dumps(data).encode())
|
|
except KeyError:
|
|
pass
|
|
|
|
# Verify equivalence of extracted outputs.
|
|
self.assertEqual(sorted(outputs), sorted(reference_files))
|