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Batuhan Berk Başoğlu 2020-11-12 11:05:57 -05:00
parent f584ad9d97
commit 2e81cb7d99
16627 changed files with 2065359 additions and 102444 deletions

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"""The Jupyter notebook format
Use this module to read or write notebook files as particular nbformat versions.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import io
from traitlets.log import get_logger
from ._version import version_info, __version__
from . import v1
from . import v2
from . import v3
from . import v4
from .sentinel import Sentinel
__all__ = ['versions', 'validate', 'ValidationError', 'convert', 'from_dict',
'NotebookNode', 'current_nbformat', 'current_nbformat_minor',
'NBFormatError', 'NO_CONVERT', 'reads', 'read', 'writes', 'write',
'version_info', '__version__',
]
versions = {
1: v1,
2: v2,
3: v3,
4: v4,
}
from .validator import validate, ValidationError
from .converter import convert
from . import reader
from .notebooknode import from_dict, NotebookNode
from .v4 import (
nbformat as current_nbformat,
nbformat_minor as current_nbformat_minor,
)
class NBFormatError(ValueError):
pass
# no-conversion singleton
NO_CONVERT = Sentinel('NO_CONVERT', __name__,
"""Value to prevent nbformat to convert notebooks to most recent version.
""")
def reads(s, as_version, **kwargs):
"""Read a notebook from a string and return the NotebookNode object as the given version.
The string can contain a notebook of any version.
The notebook will be returned `as_version`, converting, if necessary.
Notebook format errors will be logged.
Parameters
----------
s : unicode
The raw unicode string to read the notebook from.
as_version : int
The version of the notebook format to return.
The notebook will be converted, if necessary.
Pass nbformat.NO_CONVERT to prevent conversion.
Returns
-------
nb : NotebookNode
The notebook that was read.
"""
nb = reader.reads(s, **kwargs)
if as_version is not NO_CONVERT:
nb = convert(nb, as_version)
try:
validate(nb)
except ValidationError as e:
get_logger().error("Notebook JSON is invalid: %s", e)
return nb
def writes(nb, version=NO_CONVERT, **kwargs):
"""Write a notebook to a string in a given format in the given nbformat version.
Any notebook format errors will be logged.
Parameters
----------
nb : NotebookNode
The notebook to write.
version : int, optional
The nbformat version to write.
If unspecified, or specified as nbformat.NO_CONVERT,
the notebook's own version will be used and no conversion performed.
Returns
-------
s : unicode
The notebook as a JSON string.
"""
if version is not NO_CONVERT:
nb = convert(nb, version)
else:
version, _ = reader.get_version(nb)
try:
validate(nb)
except ValidationError as e:
get_logger().error("Notebook JSON is invalid: %s", e)
return versions[version].writes_json(nb, **kwargs)
def read(fp, as_version, **kwargs):
"""Read a notebook from a file as a NotebookNode of the given version.
The string can contain a notebook of any version.
The notebook will be returned `as_version`, converting, if necessary.
Notebook format errors will be logged.
Parameters
----------
fp : file or str
A file-like object with a read method that returns unicode (use
``io.open()`` in Python 2), or a path to a file.
as_version: int
The version of the notebook format to return.
The notebook will be converted, if necessary.
Pass nbformat.NO_CONVERT to prevent conversion.
Returns
-------
nb : NotebookNode
The notebook that was read.
"""
try:
buf = fp.read()
except AttributeError:
with io.open(fp, encoding='utf-8') as f:
return reads(f.read(), as_version, **kwargs)
return reads(buf, as_version, **kwargs)
def write(nb, fp, version=NO_CONVERT, **kwargs):
"""Write a notebook to a file in a given nbformat version.
The file-like object must accept unicode input.
Parameters
----------
nb : NotebookNode
The notebook to write.
fp : file or str
Any file-like object with a write method that accepts unicode, or
a path to write a file.
version : int, optional
The nbformat version to write.
If nb is not this version, it will be converted.
If unspecified, or specified as nbformat.NO_CONVERT,
the notebook's own version will be used and no conversion performed.
"""
s = writes(nb, version, **kwargs)
if isinstance(s, bytes):
s = s.decode('utf8')
try:
fp.write(s)
if not s.endswith(u'\n'):
fp.write(u'\n')
except AttributeError:
with io.open(fp, 'w', encoding='utf-8') as f:
f.write(s)
if not s.endswith(u'\n'):
f.write(u'\n')

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"""Code for supporting compatibility across python versions."""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
try:
from base64 import decodebytes, encodebytes
except ImportError:
from base64 import encodestring as encodebytes
from base64 import decodestring as decodebytes

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# Make sure to update package.json, too!
version_info = (5, 0, 8)
__version__ = '.'.join(map(str, version_info))

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"""API for converting notebooks between versions."""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from . import versions
from .reader import get_version
def convert(nb, to_version):
"""Convert a notebook node object to a specific version. Assumes that
all the versions starting from 1 to the latest major X are implemented.
In other words, there should never be a case where v1 v2 v3 v5 exist without
a v4. Also assumes that all conversions can be made in one step increments
between major versions and ignores minor revisions.
Parameters
----------
nb : NotebookNode
to_version : int
Major revision to convert the notebook to. Can either be an upgrade or
a downgrade.
"""
# Get input notebook version.
(version, version_minor) = get_version(nb)
# Check if destination is target version, if so return contents
if version == to_version:
return nb
# If the version exist, try to convert to it one step at a time.
elif to_version in versions:
# Get the the version that this recursion will convert to as a step
# closer to the final revision. Make sure the newer of the conversion
# functions is used to perform the conversion.
if to_version > version:
step_version = version + 1
convert_function = versions[step_version].upgrade
else:
step_version = version - 1
convert_function = versions[version].downgrade
# Convert and make sure version changed during conversion.
converted = convert_function(nb)
if converted.get('nbformat', 1) == version:
raise ValueError("Failed to convert notebook from v%d to v%d." % (version, step_version))
# Recursively convert until target version is reached.
return convert(converted, to_version)
else:
raise ValueError("Cannot convert notebook to v%d because that " \
"version doesn't exist" % (to_version))

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"""Deprecated API for working with notebooks
- use nbformat for read/write/validate public API
- use nbformat.vX directly for Python API for composing notebooks
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import re
import warnings
warnings.warn("""nbformat.current is deprecated.
- use nbformat for read/write/validate public API
- use nbformat.vX directly to composing notebooks of a particular version
""")
from nbformat.v3 import (
NotebookNode,
new_code_cell, new_text_cell, new_notebook, new_output, new_worksheet,
parse_filename, new_metadata, new_author, new_heading_cell, nbformat,
nbformat_minor, nbformat_schema, to_notebook_json,
)
from nbformat import v3 as _v_latest
from .reader import reads as reader_reads
from . import versions
from .converter import convert
from .validator import validate, ValidationError
from traitlets.log import get_logger
__all__ = ['NotebookNode', 'new_code_cell', 'new_text_cell', 'new_notebook',
'new_output', 'new_worksheet', 'parse_filename', 'new_metadata', 'new_author',
'new_heading_cell', 'nbformat', 'nbformat_minor', 'nbformat_schema',
'to_notebook_json', 'convert', 'validate', 'NBFormatError', 'parse_py',
'reads_json', 'writes_json', 'reads_py', 'writes_py', 'reads', 'writes', 'read',
'write']
current_nbformat = nbformat
current_nbformat_minor = nbformat_minor
current_nbformat_module = _v_latest.__name__
class NBFormatError(ValueError):
pass
def _warn_format():
warnings.warn("""Non-JSON file support in nbformat is deprecated.
Use nbconvert to create files of other formats.""")
def parse_py(s, **kwargs):
"""Parse a string into a (nbformat, string) tuple."""
nbf = current_nbformat
nbm = current_nbformat_minor
pattern = r'# <nbformat>(?P<nbformat>\d+[\.\d+]*)</nbformat>'
m = re.search(pattern,s)
if m is not None:
digits = m.group('nbformat').split('.')
nbf = int(digits[0])
if len(digits) > 1:
nbm = int(digits[1])
return nbf, nbm, s
def reads_json(nbjson, **kwargs):
"""DEPRECATED, use reads"""
warnings.warn("reads_json is deprecated, use reads")
return reads(nbjson)
def writes_json(nb, **kwargs):
"""DEPRECATED, use writes"""
warnings.warn("writes_json is deprecated, use writes")
return writes(nb, **kwargs)
def reads_py(s, **kwargs):
"""DEPRECATED: use nbconvert"""
_warn_format()
nbf, nbm, s = parse_py(s, **kwargs)
if nbf in (2, 3):
nb = versions[nbf].to_notebook_py(s, **kwargs)
else:
raise NBFormatError('Unsupported PY nbformat version: %i' % nbf)
return nb
def writes_py(nb, **kwargs):
"""DEPRECATED: use nbconvert"""
_warn_format()
return versions[3].writes_py(nb, **kwargs)
# High level API
def reads(s, format='DEPRECATED', version=current_nbformat, **kwargs):
"""Read a notebook from a string and return the NotebookNode object.
This function properly handles notebooks of any version. The notebook
returned will always be in the current version's format.
Parameters
----------
s : unicode
The raw unicode string to read the notebook from.
Returns
-------
nb : NotebookNode
The notebook that was read.
"""
if format not in {'DEPRECATED', 'json'}:
_warn_format()
nb = reader_reads(s, **kwargs)
nb = convert(nb, version)
try:
validate(nb)
except ValidationError as e:
get_logger().error("Notebook JSON is invalid: %s", e)
return nb
def writes(nb, format='DEPRECATED', version=current_nbformat, **kwargs):
"""Write a notebook to a string in a given format in the current nbformat version.
This function always writes the notebook in the current nbformat version.
Parameters
----------
nb : NotebookNode
The notebook to write.
version : int
The nbformat version to write.
Used for downgrading notebooks.
Returns
-------
s : unicode
The notebook string.
"""
if format not in {'DEPRECATED', 'json'}:
_warn_format()
nb = convert(nb, version)
try:
validate(nb)
except ValidationError as e:
get_logger().error("Notebook JSON is invalid: %s", e)
return versions[version].writes_json(nb, **kwargs)
def read(fp, format='DEPRECATED', **kwargs):
"""Read a notebook from a file and return the NotebookNode object.
This function properly handles notebooks of any version. The notebook
returned will always be in the current version's format.
Parameters
----------
fp : file
Any file-like object with a read method.
Returns
-------
nb : NotebookNode
The notebook that was read.
"""
return reads(fp.read(), **kwargs)
def write(nb, fp, format='DEPRECATED', **kwargs):
"""Write a notebook to a file in a given format in the current nbformat version.
This function always writes the notebook in the current nbformat version.
Parameters
----------
nb : NotebookNode
The notebook to write.
fp : file
Any file-like object with a write method.
"""
s = writes(nb, **kwargs)
if isinstance(s, bytes):
s = s.decode('utf8')
return fp.write(s)

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# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
"""
Common validator wrapper to provide a uniform usage of other schema validation
libraries.
"""
import os
import jsonschema
from jsonschema import Draft4Validator as _JsonSchemaValidator
from jsonschema import ValidationError
try:
import fastjsonschema
from fastjsonschema import JsonSchemaException as _JsonSchemaException
except ImportError:
fastjsonschema = None
_JsonSchemaException = ValidationError
class JsonSchemaValidator:
name = "jsonschema"
def __init__(self, schema):
self._schema = schema
self._default_validator = _JsonSchemaValidator(schema) # Default
self._validator = self._default_validator
def validate(self, data):
self._default_validator.validate(data)
def iter_errors(self, data, schema=None):
return self._default_validator.iter_errors(data, schema)
class FastJsonSchemaValidator(JsonSchemaValidator):
name = "fastjsonschema"
def __init__(self, schema):
self._validator = fastjsonschema.compile(schema)
def validate(self, data):
try:
self._validator(data)
except _JsonSchemaException as error:
raise ValidationError(error.message, schema_path=error.path)
def iter_errors(self, data, schema=None):
errors = []
validate_func = self._validator if schema is None else fastjsonschema.compile(schema)
try:
validate_func(data)
except _JsonSchemaException as error:
errors = [ValidationError(error.message, schema_path=error.path)]
return errors
_VALIDATOR_MAP = [
("fastjsonschema", fastjsonschema, FastJsonSchemaValidator),
("jsonschema", jsonschema, JsonSchemaValidator),
]
VALIDATORS = [item[0] for item in _VALIDATOR_MAP]
def _validator_for_name(validator_name):
if validator_name not in VALIDATORS:
raise ValueError("Invalid validator '{0}' value!\nValid values are: {1}".format(
validator_name, VALIDATORS))
for (name, module, validator_cls) in _VALIDATOR_MAP:
if module and validator_name == name:
return validator_cls
def get_current_validator():
"""
Return the default validator based on the value of an environment variable.
"""
validator_name = os.environ.get("NBFORMAT_VALIDATOR", "jsonschema")
return _validator_for_name(validator_name)

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"""NotebookNode - adding attribute access to dicts"""
from ipython_genutils.ipstruct import Struct
try:
from collections.abc import Mapping
except ImportError:
from collections import Mapping
class NotebookNode(Struct):
"""A dict-like node with attribute-access"""
def __setitem__(self, key, value):
if isinstance(value, Mapping) and not isinstance(value, NotebookNode):
value = from_dict(value)
super(NotebookNode, self).__setitem__(key, value)
def update(self, *args, **kwargs):
"""
A dict-like update method based on CPython's MutableMapping `update`
method.
"""
if len(args) > 1:
raise TypeError('update expected at most 1 arguments, got %d' %
len(args))
if args:
other = args[0]
if isinstance(other, Mapping):
for key in other:
self[key] = other[key]
elif hasattr(other, "keys"):
for key in other.keys():
self[key] = other[key]
else:
for key, value in other:
self[key] = value
for key, value in kwargs.items():
self[key] = value
def from_dict(d):
"""Convert dict to dict-like NotebookNode
Recursively converts any dict in the container to a NotebookNode.
This does not check that the contents of the dictionary make a valid
notebook or part of a notebook.
"""
if isinstance(d, dict):
return NotebookNode({k: from_dict(v) for k, v in d.items()})
elif isinstance(d, (tuple, list)):
return [from_dict(i) for i in d]
else:
return d

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"""API for reading notebooks of different versions"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import json
class NotJSONError(ValueError):
pass
def parse_json(s, **kwargs):
"""Parse a JSON string into a dict."""
try:
nb_dict = json.loads(s, **kwargs)
except ValueError as e:
# Limit the error message to 80 characters. Display whatever JSON will fit.
raise NotJSONError(("Notebook does not appear to be JSON: %r" % s)[:77] + "...") from e
return nb_dict
# High level API
def get_version(nb):
"""Get the version of a notebook.
Parameters
----------
nb : dict
NotebookNode or dict containing notebook data.
Returns
-------
Tuple containing major (int) and minor (int) version numbers
"""
major = nb.get('nbformat', 1)
minor = nb.get('nbformat_minor', 0)
return (major, minor)
def reads(s, **kwargs):
"""Read a notebook from a json string and return the
NotebookNode object.
This function properly reads notebooks of any version. No version
conversion is performed.
Parameters
----------
s : unicode | bytes
The raw string or bytes object to read the notebook from.
Returns
-------
nb : NotebookNode
The notebook that was read.
"""
from . import versions, NBFormatError
nb_dict = parse_json(s, **kwargs)
(major, minor) = get_version(nb_dict)
if major in versions:
return versions[major].to_notebook_json(nb_dict, minor=minor)
else:
raise NBFormatError('Unsupported nbformat version %s' % major)
def read(fp, **kwargs):
"""Read a notebook from a file and return the NotebookNode object.
This function properly reads notebooks of any version. No version
conversion is performed.
Parameters
----------
fp : file
Any file-like object with a read method.
Returns
-------
nb : NotebookNode
The notebook that was read.
"""
return reads(fp.read(), **kwargs)

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"""Sentinel class for constants with useful reprs"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
class Sentinel(object):
def __init__(self, name, module, docstring=None):
self.name = name
self.module = module
if docstring:
self.__doc__ = docstring
def __repr__(self):
return str(self.module)+'.'+self.name

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"""Utilities for signing notebooks"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from collections import OrderedDict
from contextlib import contextmanager
from datetime import datetime
import hashlib
from hmac import HMAC
import io
import os
import sys
try:
import sqlite3
except ImportError:
try:
from pysqlite2 import dbapi2 as sqlite3
except ImportError:
sqlite3 = None
from ipython_genutils.py3compat import cast_bytes, cast_unicode
from traitlets import (
Instance, Bytes, Enum, Any, Unicode, Bool, Integer, TraitType,
default, observe,
)
from traitlets.config import LoggingConfigurable, MultipleInstanceError
from jupyter_core.application import JupyterApp, base_flags
from . import read, reads, NO_CONVERT, __version__
from ._compat import encodebytes
try:
# Python 3
algorithms = hashlib.algorithms_guaranteed
# shake algorithms in py36 are not compatible with hmac
# due to required length argument in digests
algorithms = [ a for a in algorithms if not a.startswith('shake_') ]
except AttributeError:
algorithms = hashlib.algorithms
# This has been added to traitlets, but is not released as of traitlets 4.3.1,
# so a copy is included here for now.
class Callable(TraitType):
"""A trait which is callable.
Notes
-----
Classes are callable, as are instances
with a __call__() method."""
info_text = 'a callable'
def validate(self, obj, value):
if callable(value):
return value
else:
self.error(obj, value)
class SignatureStore(object):
"""Base class for a signature store."""
def store_signature(self, digest, algorithm):
"""Implement in subclass to store a signature.
Should not raise if the signature is already stored.
"""
raise NotImplementedError
def check_signature(self, digest, algorithm):
"""Implement in subclass to check if a signature is known.
Return True for a known signature, False for unknown.
"""
raise NotImplementedError
def remove_signature(self, digest, algorithm):
"""Implement in subclass to delete a signature.
Should not raise if the signature is not stored.
"""
raise NotImplementedError
def close(self):
"""Close any open connections this store may use.
If the store maintains any open connections (e.g. to a database),
they should be closed.
"""
pass
class MemorySignatureStore(SignatureStore):
"""Non-persistent storage of signatures in memory.
"""
cache_size = 65535
def __init__(self):
# We really only want an ordered set, but the stdlib has OrderedDict,
# and it's easy to use a dict as a set.
self.data = OrderedDict()
def store_signature(self, digest, algorithm):
key = (digest, algorithm)
# Pop it so it goes to the end when we reinsert it
self.data.pop(key, None)
self.data[key] = None
self._maybe_cull()
def _maybe_cull(self):
"""If more than cache_size signatures are stored, delete the oldest 25%
"""
if len(self.data) < self.cache_size:
return
for _ in range(len(self.data) // 4):
self.data.popitem(last=False)
def check_signature(self, digest, algorithm):
key = (digest, algorithm)
if key in self.data:
# Move it to the end (.move_to_end() method is new in Py3)
del self.data[key]
self.data[key] = None
return True
return False
def remove_signature(self, digest, algorithm):
self.data.pop((digest, algorithm), None)
class SQLiteSignatureStore(SignatureStore, LoggingConfigurable):
"""Store signatures in an SQLite database.
"""
# 64k entries ~ 12MB
cache_size = Integer(65535,
help="""The number of notebook signatures to cache.
When the number of signatures exceeds this value,
the oldest 25% of signatures will be culled.
"""
).tag(config=True)
def __init__(self, db_file, **kwargs):
super(SQLiteSignatureStore, self).__init__(**kwargs)
self.db_file = db_file
self.db = self._connect_db(db_file)
def close(self):
if self.db is not None:
self.db.close()
def _connect_db(self, db_file):
kwargs = dict(
detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES)
db = None
try:
db = sqlite3.connect(db_file, **kwargs)
self.init_db(db)
except (sqlite3.DatabaseError, sqlite3.OperationalError):
if db_file != ':memory:':
old_db_location = db_file + ".bak"
if db is not None:
db.close()
self.log.warning(
("The signatures database cannot be opened; maybe it is corrupted or encrypted. "
"You may need to rerun your notebooks to ensure that they are trusted to run Javascript. "
"The old signatures database has been renamed to %s and a new one has been created."),
old_db_location)
try:
os.rename(db_file, old_db_location)
db = sqlite3.connect(db_file, **kwargs)
self.init_db(db)
except (sqlite3.DatabaseError, sqlite3.OperationalError, OSError):
if db is not None:
db.close()
self.log.warning(
("Failed commiting signatures database to disk. "
"You may need to move the database file to a non-networked file system, "
"using config option `NotebookNotary.db_file`. "
"Using in-memory signatures database for the remainder of this session."))
self.db_file = ':memory:'
db = sqlite3.connect(':memory:', **kwargs)
self.init_db(db)
else:
raise
return db
def init_db(self, db):
db.execute("""
CREATE TABLE IF NOT EXISTS nbsignatures
(
id integer PRIMARY KEY AUTOINCREMENT,
algorithm text,
signature text,
path text,
last_seen timestamp
)""")
db.execute("""
CREATE INDEX IF NOT EXISTS algosig ON nbsignatures(algorithm, signature)
""")
db.commit()
def store_signature(self, digest, algorithm):
if self.db is None:
return
if not self.check_signature(digest, algorithm):
self.db.execute("""
INSERT INTO nbsignatures (algorithm, signature, last_seen)
VALUES (?, ?, ?)
""", (algorithm, digest, datetime.utcnow())
)
else:
self.db.execute("""UPDATE nbsignatures SET last_seen = ? WHERE
algorithm = ? AND
signature = ?;
""", (datetime.utcnow(), algorithm, digest)
)
self.db.commit()
# Check size and cull old entries if necessary
n, = self.db.execute("SELECT Count(*) FROM nbsignatures").fetchone()
if n > self.cache_size:
self.cull_db()
def check_signature(self, digest, algorithm):
if self.db is None:
return False
r = self.db.execute("""SELECT id FROM nbsignatures WHERE
algorithm = ? AND
signature = ?;
""", (algorithm, digest)).fetchone()
if r is None:
return False
self.db.execute("""UPDATE nbsignatures SET last_seen = ? WHERE
algorithm = ? AND
signature = ?;
""",
(datetime.utcnow(), algorithm, digest),
)
self.db.commit()
return True
def remove_signature(self, digest, algorithm):
self.db.execute("""DELETE FROM nbsignatures WHERE
algorithm = ? AND
signature = ?;
""",
(algorithm, digest)
)
self.db.commit()
def cull_db(self):
"""Cull oldest 25% of the trusted signatures when the size limit is reached"""
self.db.execute("""DELETE FROM nbsignatures WHERE id IN (
SELECT id FROM nbsignatures ORDER BY last_seen DESC LIMIT -1 OFFSET ?
);
""", (max(int(0.75 * self.cache_size), 1),))
def yield_everything(obj):
"""Yield every item in a container as bytes
Allows any JSONable object to be passed to an HMAC digester
without having to serialize the whole thing.
"""
if isinstance(obj, dict):
for key in sorted(obj):
value = obj[key]
yield cast_bytes(key)
for b in yield_everything(value):
yield b
elif isinstance(obj, (list, tuple)):
for element in obj:
for b in yield_everything(element):
yield b
elif isinstance(obj, str):
yield obj.encode('utf8')
else:
yield str(obj).encode('utf8')
def yield_code_cells(nb):
"""Iterator that yields all cells in a notebook
nbformat version independent
"""
if nb.nbformat >= 4:
for cell in nb['cells']:
if cell['cell_type'] == 'code':
yield cell
elif nb.nbformat == 3:
for ws in nb['worksheets']:
for cell in ws['cells']:
if cell['cell_type'] == 'code':
yield cell
@contextmanager
def signature_removed(nb):
"""Context manager for operating on a notebook with its signature removed
Used for excluding the previous signature when computing a notebook's signature.
"""
save_signature = nb['metadata'].pop('signature', None)
try:
yield
finally:
if save_signature is not None:
nb['metadata']['signature'] = save_signature
class NotebookNotary(LoggingConfigurable):
"""A class for computing and verifying notebook signatures."""
data_dir = Unicode()
@default('data_dir')
def _data_dir_default(self):
app = None
try:
if JupyterApp.initialized():
app = JupyterApp.instance()
except MultipleInstanceError:
pass
if app is None:
# create an app, without the global instance
app = JupyterApp()
app.initialize(argv=[])
return app.data_dir
store_factory = Callable(
help="""A callable returning the storage backend for notebook signatures.
The default uses an SQLite database.""").tag(config=True)
@default('store_factory')
def _store_factory_default(self):
def factory():
if sqlite3 is None:
self.log.warning("Missing SQLite3, all notebooks will be untrusted!")
return MemorySignatureStore()
return SQLiteSignatureStore(self.db_file)
return factory
db_file = Unicode(
help="""The sqlite file in which to store notebook signatures.
By default, this will be in your Jupyter data directory.
You can set it to ':memory:' to disable sqlite writing to the filesystem.
""").tag(config=True)
@default('db_file')
def _db_file_default(self):
if not self.data_dir:
return ':memory:'
return os.path.join(self.data_dir, u'nbsignatures.db')
algorithm = Enum(algorithms, default_value='sha256',
help="""The hashing algorithm used to sign notebooks."""
).tag(config=True)
@observe('algorithm')
def _algorithm_changed(self, change):
self.digestmod = getattr(hashlib, change.new)
digestmod = Any()
@default('digestmod')
def _digestmod_default(self):
return getattr(hashlib, self.algorithm)
secret_file = Unicode(
help="""The file where the secret key is stored."""
).tag(config=True)
@default('secret_file')
def _secret_file_default(self):
if not self.data_dir:
return ''
return os.path.join(self.data_dir, 'notebook_secret')
secret = Bytes(
help="""The secret key with which notebooks are signed."""
).tag(config=True)
@default('secret')
def _secret_default(self):
# note : this assumes an Application is running
if os.path.exists(self.secret_file):
with io.open(self.secret_file, 'rb') as f:
return f.read()
else:
secret = encodebytes(os.urandom(1024))
self._write_secret_file(secret)
return secret
def __init__(self, **kwargs):
super(NotebookNotary, self).__init__(**kwargs)
self.store = self.store_factory()
def _write_secret_file(self, secret):
"""write my secret to my secret_file"""
self.log.info("Writing notebook-signing key to %s", self.secret_file)
with io.open(self.secret_file, 'wb') as f:
f.write(secret)
try:
os.chmod(self.secret_file, 0o600)
except OSError:
self.log.warning(
"Could not set permissions on %s",
self.secret_file
)
return secret
def compute_signature(self, nb):
"""Compute a notebook's signature
by hashing the entire contents of the notebook via HMAC digest.
"""
hmac = HMAC(self.secret, digestmod=self.digestmod)
# don't include the previous hash in the content to hash
with signature_removed(nb):
# sign the whole thing
for b in yield_everything(nb):
hmac.update(b)
return hmac.hexdigest()
def check_signature(self, nb):
"""Check a notebook's stored signature
If a signature is stored in the notebook's metadata,
a new signature is computed and compared with the stored value.
Returns True if the signature is found and matches, False otherwise.
The following conditions must all be met for a notebook to be trusted:
- a signature is stored in the form 'scheme:hexdigest'
- the stored scheme matches the requested scheme
- the requested scheme is available from hashlib
- the computed hash from notebook_signature matches the stored hash
"""
if nb.nbformat < 3:
return False
signature = self.compute_signature(nb)
return self.store.check_signature(signature, self.algorithm)
def sign(self, nb):
"""Sign a notebook, indicating that its output is trusted on this machine
Stores hash algorithm and hmac digest in a local database of trusted notebooks.
"""
if nb.nbformat < 3:
return
signature = self.compute_signature(nb)
self.store.store_signature(signature, self.algorithm)
def unsign(self, nb):
"""Ensure that a notebook is untrusted
by removing its signature from the trusted database, if present.
"""
signature = self.compute_signature(nb)
self.store.remove_signature(signature, self.algorithm)
def mark_cells(self, nb, trusted):
"""Mark cells as trusted if the notebook's signature can be verified
Sets ``cell.metadata.trusted = True | False`` on all code cells,
depending on the *trusted* parameter. This will typically be the return
value from ``self.check_signature(nb)``.
This function is the inverse of check_cells
"""
if nb.nbformat < 3:
return
for cell in yield_code_cells(nb):
cell['metadata']['trusted'] = trusted
def _check_cell(self, cell, nbformat_version):
"""Do we trust an individual cell?
Return True if:
- cell is explicitly trusted
- cell has no potentially unsafe rich output
If a cell has no output, or only simple print statements,
it will always be trusted.
"""
# explicitly trusted
if cell['metadata'].pop("trusted", False):
return True
# explicitly safe output
if nbformat_version >= 4:
unsafe_output_types = ['execute_result', 'display_data']
safe_keys = {"output_type", "execution_count", "metadata"}
else: # v3
unsafe_output_types = ['pyout', 'display_data']
safe_keys = {"output_type", "prompt_number", "metadata"}
for output in cell['outputs']:
output_type = output['output_type']
if output_type in unsafe_output_types:
# if there are any data keys not in the safe whitelist
output_keys = set(output)
if output_keys.difference(safe_keys):
return False
return True
def check_cells(self, nb):
"""Return whether all code cells are trusted.
A cell is trusted if the 'trusted' field in its metadata is truthy, or
if it has no potentially unsafe outputs.
If there are no code cells, return True.
This function is the inverse of mark_cells.
"""
if nb.nbformat < 3:
return False
trusted = True
for cell in yield_code_cells(nb):
# only distrust a cell if it actually has some output to distrust
if not self._check_cell(cell, nb.nbformat):
trusted = False
return trusted
trust_flags = {
'reset' : (
{'TrustNotebookApp' : { 'reset' : True}},
"""Delete the trusted notebook cache.
All previously signed notebooks will become untrusted.
"""
),
}
trust_flags.update(base_flags)
class TrustNotebookApp(JupyterApp):
version = __version__
description="""Sign one or more Jupyter notebooks with your key,
to trust their dynamic (HTML, Javascript) output.
Otherwise, you will have to re-execute the notebook to see output.
"""
# This command line tool should use the same config file as the notebook
@default('config_file_name')
def _config_file_name_default(self):
return 'jupyter_notebook_config'
examples = """
jupyter trust mynotebook.ipynb and_this_one.ipynb
"""
flags = trust_flags
reset = Bool(False,
help="""If True, delete the trusted signature cache.
After reset, all previously signed notebooks will become untrusted.
"""
).tag(config=True)
notary = Instance(NotebookNotary)
@default('notary')
def _notary_default(self):
return NotebookNotary(parent=self, data_dir=self.data_dir)
def sign_notebook_file(self, notebook_path):
"""Sign a notebook from the filesystem"""
if not os.path.exists(notebook_path):
self.log.error("Notebook missing: %s" % notebook_path)
self.exit(1)
with io.open(notebook_path, encoding='utf8') as f:
nb = read(f, NO_CONVERT)
self.sign_notebook(nb, notebook_path)
def sign_notebook(self, nb, notebook_path='<stdin>'):
"""Sign a notebook that's been loaded"""
if self.notary.check_signature(nb):
print("Notebook already signed: %s" % notebook_path)
else:
print("Signing notebook: %s" % notebook_path)
self.notary.sign(nb)
def generate_new_key(self):
"""Generate a new notebook signature key"""
print("Generating new notebook key: %s" % self.notary.secret_file)
self.notary._write_secret_file(os.urandom(1024))
def start(self):
if self.reset:
if os.path.exists(self.notary.db_file):
print("Removing trusted signature cache: %s" % self.notary.db_file)
os.remove(self.notary.db_file)
self.generate_new_key()
return
if not self.extra_args:
self.log.debug("Reading notebook from stdin")
nb_s = cast_unicode(sys.stdin.read())
nb = reads(nb_s, NO_CONVERT)
self.sign_notebook(nb, '<stdin>')
else:
for notebook_path in self.extra_args:
self.sign_notebook_file(notebook_path)
main = TrustNotebookApp.launch_instance
if __name__ == '__main__':
main()

View file

@ -0,0 +1,21 @@
"""
Contains base test class for nbformat
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import os
import unittest
import io
class TestsBase(unittest.TestCase):
"""Base tests class."""
@classmethod
def fopen(cls, f, mode=u'r',encoding='utf-8'):
return io.open(os.path.join(cls._get_files_path(), f), mode, encoding=encoding)
@classmethod
def _get_files_path(cls):
return os.path.dirname(__file__)

View file

@ -0,0 +1,306 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Nunc luctus bibendum felis dictum sodales. Ut suscipit, orci ut interdum imperdiet, purus ligula mollis *justo*, non malesuada nisl augue eget lorem. Donec bibendum, erat sit amet porttitor aliquam, urna lorem ornare libero, in vehicula diam diam ut ante. Nam non urna rhoncus, accumsan elit sit amet, mollis tellus. Vestibulum nec tellus metus. Vestibulum tempor, ligula et vehicula rhoncus, sapien turpis faucibus lorem, id dapibus turpis mauris ac orci. Sed volutpat vestibulum venenatis."
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Printed Using Python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "bad stream",
"text": [
"hello\n"
]
}
],
"source": [
"print(\"hello\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pyout"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n"
],
"text/plain": [
"<IPython.core.display.HTML at 0x1112757d0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import HTML\n",
"HTML(\"\"\"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"console.log(\"hi\");"
],
"text/plain": [
"<IPython.core.display.Javascript at 0x1112b4b50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"console.log(\"hi\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Image"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
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],
"text/plain": [
"<IPython.core.display.Image at 0x111275490>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"http://ipython.org/_static/IPy_header.png\")"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 0
}

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@ -0,0 +1,46 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'iAmNotDefined' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-22-56e1109ae320>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0miAmNotDefined\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'iAmNotDefined' is not defined"
]
}
],
"source": [
"# Imagine this cell called a function which runs things on a cluster and you have an error"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# nbconvert latex test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Nunc luctus bibendum felis dictum sodales. Ut suscipit, orci ut interdum imperdiet, purus ligula mollis *justo*, non malesuada nisl augue eget lorem. Donec bibendum, erat sit amet porttitor aliquam, urna lorem ornare libero, in vehicula diam diam ut ante. Nam non urna rhoncus, accumsan elit sit amet, mollis tellus. Vestibulum nec tellus metus. Vestibulum tempor, ligula et vehicula rhoncus, sapien turpis faucibus lorem, id dapibus turpis mauris ac orci. Sed volutpat vestibulum venenatis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Printed Using Python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello\n"
]
}
],
"source": [
"print(\"hello\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pyout"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n"
],
"text/plain": [
"<IPython.core.display.HTML at 0x1112757d0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import HTML\n",
"HTML(\"\"\"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"console.log(\"hi\");"
],
"text/plain": [
"<IPython.core.display.Javascript at 0x1112b4b50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"console.log(\"hi\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Image"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": [
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"T0Nu9KOQm+i/gFsDz3nTdv2fI2FbpdpfHnlpH4LcnHdAlIz5yLErqXgFnvOR7fo28lDYE7lu3kKO\n",
"TdZ9K52xrhTl7knnUVB6SqVeTsr4apQU6lDEbG4hCsFbROsRBE1ebjrwnNB2/XGIGf5gRBkYhPyv\n",
"7yDpjR9MtVkOnGK7/vWIgrFrVPcF4O8ZKbaXIuduWkH6KfL/JbkEsWClfWK2CDzHt10/jzhXjkGO\n",
"yzNIZEiRD00ga3ocaLv+kUh2xo8hSuVURKmIUyiXVGYCWVzKQlJD7xrJNg85b9LX8RLgF6X6SpFU\n",
"9Cpe28gaJgORqEEAbNffDLlvHIQoAndR8NEYilwjExD/nwuUiTQ0GAwGw7qC7fqjEUvKqsBzmhWd\n",
"t05gu/5pyNoifw48J9N5PForxQeeNFMMBoPBYDD0DWL/llvK1In9jt4zCoLBYDAYDH2DePo5MwrJ\n",
"dv0hFPwTnjBRDAaDwWAw9A3+hPgOHRPl25iK+FhsiuR4OARx0Lwf+J1REAwGg8Fg6AMEnvNklL78\n",
"HMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n"
],
"text/plain": [
"<IPython.core.display.Image at 0x111275490>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"http://ipython.org/_static/IPy_header.png\")"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 0
}

View file

@ -0,0 +1,52 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/vnd.raw.v1+json": {
"apples": [
"🍎",
"🍏"
],
"bananas": 2,
"oranges": "apples"
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import IPython\n",
"\n",
"bundle = {}\n",
"bundle['application/vnd.raw.v1+json'] = {\n",
" 'apples': ['🍎', '🍏'],\n",
" 'bananas': 2,\n",
" 'oranges': 'apples'\n",
"}\n",
"\n",
"IPython.display.display(bundle, raw=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
},
"nbformat": 4,
"nbformat_minor": 2
}

View file

@ -0,0 +1,311 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# nbconvert latex test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Nunc luctus bibendum felis dictum sodales. Ut suscipit, orci ut interdum imperdiet, purus ligula mollis *justo*, non malesuada nisl augue eget lorem. Donec bibendum, erat sit amet porttitor aliquam, urna lorem ornare libero, in vehicula diam diam ut ante. Nam non urna rhoncus, accumsan elit sit amet, mollis tellus. Vestibulum nec tellus metus. Vestibulum tempor, ligula et vehicula rhoncus, sapien turpis faucibus lorem, id dapibus turpis mauris ac orci. Sed volutpat vestibulum venenatis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Printed Using Python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello\n"
]
}
],
"source": [
"print(\"hello\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pyout"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n"
],
"text/plain": [
"<IPython.core.display.HTML at 0x1112757d0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import HTML\n",
"HTML(\"\"\"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"console.log(\"hi\");"
],
"text/plain": [
"<IPython.core.display.Javascript at 0x1112b4b50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"console.log(\"hi\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Image"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": [
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],
"text/plain": [
"<IPython.core.display.Image at 0x111275490>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"http://ipython.org/_static/IPy_header.png\")"
]
}
],
"metadata": {
"title": "Test Notebook",
"authors": [{"name": "Jean Tester"}]
},
"nbformat": 4,
"nbformat_minor": 0
}

View file

@ -0,0 +1,30 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false,
"source_hidden": false
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello\n"
]
}
],
"source": [
"print(\"hello\")"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 0
}

View file

@ -0,0 +1,61 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2019-08-26T17:50:29.604738Z",
"iopub.status.busy": "2019-08-26T17:50:29.603423Z",
"iopub.status.idle": "2019-08-26T17:50:29.628032Z",
"shell.execute_reply": "2019-08-26T17:50:29.623438Z",
"shell.execute_reply.started": "2019-08-26T17:50:29.604616Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1+1"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.0"
},
"record_timing": true
},
"nbformat": 4,
"nbformat_minor": 4
}

View file

@ -0,0 +1,349 @@
{
"extra": "future",
"cells": [
{
"cell_type": "markdown",
"extra": 5,
"metadata": {},
"source": [
"# nbconvert latex test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Nunc luctus bibendum felis dictum sodales. Ut suscipit, orci ut interdum imperdiet, purus ligula mollis *justo*, non malesuada nisl augue eget lorem. Donec bibendum, erat sit amet porttitor aliquam, urna lorem ornare libero, in vehicula diam diam ut ante. Nam non urna rhoncus, accumsan elit sit amet, mollis tellus. Vestibulum nec tellus metus. Vestibulum tempor, ligula et vehicula rhoncus, sapien turpis faucibus lorem, id dapibus turpis mauris ac orci. Sed volutpat vestibulum venenatis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Printed Using Python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"future": "yes",
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"extra": "future",
"output_type": "stream",
"text": [
"hello\n"
]
}
],
"source": [
"print(\"hello\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Pyout"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n"
],
"text/plain": [
"<IPython.core.display.HTML at 0x1112757d0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import HTML\n",
"HTML(\"\"\"\n",
"<script>\n",
"console.log(\"hello\");\n",
"</script>\n",
"<b>HTML</b>\n",
"\"\"\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/javascript": [
"console.log(\"hi\");"
],
"text/plain": [
"<IPython.core.display.Javascript at 0x1112b4b50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"console.log(\"hi\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Image"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": [
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"5yxIN4iSF21C14V6Rtiu/yYSW15uHv4a4P8oKAedlPcvOAv4KmItfCTKKfAS8v8NR1ILHwnsl5GA\n",
"qF7ORdYaGA48HGWyfBqYgViDRwCfQR72PkDgOU9E2TvHI4m0TgeeRczb30DyH2iKcyA0ymrgWNv1\n",
"FyDK1NvIQ3tStN3LCH+9HUl29UPb9echFo8BUbtLEKfJtJ9EmgA59ifbrj8bCR3cGDlvZqdTLcPa\n",
"9NCbUMhs2GFLKvPFSAKxZl7/CxEL8pgoA+QMxD+kE3HenAHcHnjOGmNB6Dt8iGjHWSFKK4HHkcQr\n",
"OxvloLXYrr+77fqrEIejNyiE6P0WccZbabv+lFLtG+Ry5AY/BHkYfRDtR9M79QAAA3FJREFUcwYS\n",
"NdCFwHPuQR6a7wHfAR5GMhk+i9xcT6G6KIOKBJ6zFBn9r0GUmBlIWN9ziHf/5yjO/phsfy2yqt4i\n",
"xOJxF3INTI9k/Q7ZoV4xv0PC5LZCci4sQm6g08kYHdquvxy5lt4DwsSmF5EENCts1//Idv3M9LbR\n",
"egJTkEx4NvBA1joFifqLIjkeR6wcfwdeQfIFTEEcjHNU79RXkShvw95Ixs5+yOj/KuSh+ATiAHcq\n",
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"8vuOqWK/5yNRGaOQFNkfIhkOX6CQgwAA2/W3jkI3V0T7ejjatAFyXb2PXP/LbVnroWGi6bbzo697\n",
"IlaWk5Br93wkk+jztusP7o94Lna7eaoMZU0cVXIAped7eqGZfP2ZqmPFl+ptrVf3n19UpvVMYLRS\n",
"agBywxuEjLwWAe9qrTMXV2mUzs7OP/Xrp+6qt33Hmn5Zue3XNeZTOVoky5nqKiQkrNT883Qk3WvJ\n",
"sMLAc1bbrv9Z5AH6KWRkOB+5wRWlWo7a3Ga7/mOIomAho/GFyI30YeDREru7ELlOq07TG3jONbbr\n",
"T0Nu9KOQm+i/gFsDz3nTdv2fI2FbpdpfHnlpH4LcnHdAlIz5yLErqXgFnvOR7fo28lDYE7lu3kKO\n",
"TdZ9K52xrhTl7knnUVB6SqVeTsr4apQU6lDEbG4hCsFbROsRBE1ebjrwnNB2/XGIGf5gRBkYhPyv\n",
"7yDpjR9MtVkOnGK7/vWIgrFrVPcF4O8ZKbaXIuduWkH6KfL/JbkEsWClfWK2CDzHt10/jzhXjkGO\n",
"yzNIZEiRD00ga3ocaLv+kUh2xo8hSuVURKmIUyiXVGYCWVzKQlJD7xrJNg85b9LX8RLgF6X6SpFU\n",
"9Cpe28gaJgORqEEAbNffDLlvHIQoAndR8NEYilwjExD/nwuUiTQ0GAwGw7qC7fqjEUvKqsBzmhWd\n",
"t05gu/5pyNoifw48J9N5PForxQeeNFMMBoPBYDD0DWL/llvK1In9jt4zCoLBYDAYDH2DePo5MwrJ\n",
"dv0hFPwTnjBRDAaDwWAw9A3+hPgOHRPl25iK+FhsiuR4OARx0Lwf+J1REAwGg8Fg6AMEnvNklL78\n",
"HMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n"
],
"extra": "yes",
"text/plain": [
"<IPython.core.display.Image at 0x111275490>"
]
},
"execution_count": 6,
"metadata": {},
"extra": "yes",
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"http://ipython.org/_static/IPy_header.png\")"
]
},
{
"cell_type": "future cell",
"metadata": {},
"key": "value"
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello\n"
]
},
{
"output_type": "future output",
"some key": [
"some data"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello again\n"
]
}
],
"source": [
"future_output()"
]
}
],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 99
}

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@ -0,0 +1,66 @@
"""Test the APIs at the top-level of nbformat"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import json
import os
import pathlib
import sys
import unittest
from .base import TestsBase
from ipython_genutils.tempdir import TemporaryDirectory
from ..reader import get_version
from nbformat import read, current_nbformat, writes, write
class TestAPI(TestsBase):
def test_read(self):
"""Can older notebooks be opened and automatically converted to the current
nbformat?"""
# Open a version 2 notebook.
with self.fopen(u'test2.ipynb', 'r') as f:
nb = read(f, as_version=current_nbformat)
# Check that the notebook was upgraded to the latest version automatically.
(major, minor) = get_version(nb)
self.assertEqual(major, current_nbformat)
def test_write_downgrade_2(self):
"""dowgrade a v3 notebook to v2"""
# Open a version 3 notebook.
with self.fopen(u'test3.ipynb', 'r') as f:
nb = read(f, as_version=3)
jsons = writes(nb, version=2)
nb2 = json.loads(jsons)
(major, minor) = get_version(nb2)
self.assertEqual(major, 2)
def test_read_write_path(self):
"""read() and write() take filesystem paths"""
path = os.path.join(self._get_files_path(), u'test4.ipynb')
nb = read(path, as_version=4)
with TemporaryDirectory() as td:
dest = os.path.join(td, 'echidna.ipynb')
write(nb, dest)
assert os.path.isfile(dest)
@unittest.skipIf(
sys.version_info < (3, 6, 0),
"python versions 3.5 and lower don't support opening pathlib.Path objects"
)
def test_read_write_pathlib_object(self):
"""read() and write() take path-like objects such as pathlib objects"""
path = pathlib.Path(self._get_files_path()) / u'test4.ipynb'
nb = read(path, as_version=4)
with TemporaryDirectory() as td:
dest = pathlib.Path(td) / 'echidna.ipynb'
write(nb, dest)
assert os.path.isfile(dest)

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"""Tests for nbformat.convert"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from .base import TestsBase
from ..converter import convert
from ..reader import read, get_version
from ..validator import isvalid, validate
from .. import current_nbformat
class TestConvert(TestsBase):
def test_downgrade_3_2(self):
"""Do notebook downgrades work?"""
# Open a version 3 notebook and attempt to downgrade it to version 2.
with self.fopen(u'test3.ipynb', u'r') as f:
nb = read(f)
nb = convert(nb, 2)
# Check if downgrade was successful.
(major, minor) = get_version(nb)
self.assertEqual(major, 2)
def test_upgrade_2_3(self):
"""Do notebook upgrades work?"""
# Open a version 2 notebook and attempt to upgrade it to version 3.
with self.fopen(u'test2.ipynb', u'r') as f:
nb = read(f)
nb = convert(nb, 3)
# Check if upgrade was successful.
(major, minor) = get_version(nb)
self.assertEqual(major, 3)
def test_upgrade_downgrade_4_3_4(self):
"""Test that a v4 notebook downgraded to v3 and then upgraded to v4
passes validation tests"""
with self.fopen(u'test4.ipynb', u'r') as f:
nb = read(f)
validate(nb)
nb = convert(nb, 3)
validate(nb)
nb = convert(nb, 4)
self.assertEqual(isvalid(nb), True)
def test_open_current(self):
"""Can an old notebook be opened and converted to the current version
while remembering the original version of the notebook?"""
# Open a version 2 notebook and attempt to upgrade it to the current version
# while remembering it's version information.
with self.fopen(u'test2.ipynb', u'r') as f:
nb = read(f)
(original_major, original_minor) = get_version(nb)
nb = convert(nb, current_nbformat)
# Check if upgrade was successful.
(major, minor) = get_version(nb)
self.assertEqual(major, current_nbformat)
# Check if the original major revision was remembered.
self.assertEqual(original_major, 2)

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@ -0,0 +1,42 @@
import pytest
from nbformat import read
def test_read_invalid_iowrapper(tmpdir):
ipynb_filepath = tmpdir.join("empty.ipynb")
ipynb_filepath.write("{}")
with pytest.raises(AttributeError) as excinfo:
with ipynb_filepath.open() as fp:
read(fp, as_version=4)
assert "cells" in str(excinfo.value)
def test_read_invalid_filepath(tmpdir):
ipynb_filepath = tmpdir.join("empty.ipynb")
ipynb_filepath.write("{}")
with pytest.raises(AttributeError) as excinfo:
read(str(ipynb_filepath), as_version=4)
assert "cells" in str(excinfo.value)
def test_read_invalid_pathlikeobj(tmpdir):
ipynb_filepath = tmpdir.join("empty.ipynb")
ipynb_filepath.write("{}")
with pytest.raises(AttributeError) as excinfo:
read(ipynb_filepath, as_version=4)
assert "cells" in str(excinfo.value)
def test_read_invalid_str(tmpdir):
with pytest.raises(OSError) as excinfo:
read("not_exist_path", as_version=4)
assert "No such file or directory" in str(excinfo.value)
def test_read_invalid_type(tmpdir):
with pytest.raises(OSError) as excinfo:
read(123, as_version=4)

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@ -0,0 +1,38 @@
"""
Contains tests class for reader.py
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2013 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from .base import TestsBase
from ..reader import read, get_version
#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------
class TestReader(TestsBase):
def test_read(self):
"""Can older notebooks be opened without modification?"""
# Open a version 3 notebook. Make sure it is still version 3.
with self.fopen(u'test3.ipynb', u'r') as f:
nb = read(f)
(major, minor) = get_version(nb)
self.assertEqual(major, 3)
# Open a version 2 notebook. Make sure it is still version 2.
with self.fopen(u'test2.ipynb', u'r') as f:
nb = read(f)
(major, minor) = get_version(nb)
self.assertEqual(major, 2)

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@ -0,0 +1,262 @@
"""Test Notebook signing"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import codecs
import copy
import os
import shutil
from subprocess import Popen, PIPE
import sys
import time
import tempfile
import testpath
import unittest
from .base import TestsBase
from traitlets.config import Config
from nbformat import read, sign, write
class TestNotary(TestsBase):
def setUp(self):
self.data_dir = tempfile.mkdtemp()
self.notary = sign.NotebookNotary(
db_file=':memory:',
secret=b'secret',
data_dir=self.data_dir,
)
with self.fopen(u'test3.ipynb', u'r') as f:
self.nb = read(f, as_version=4)
with self.fopen(u'test3.ipynb', u'r') as f:
self.nb3 = read(f, as_version=3)
def tearDown(self):
self.notary.store.close()
shutil.rmtree(self.data_dir)
def test_invalid_db_file(self):
invalid_sql_file = os.path.join(self.data_dir, 'invalid_db_file.db')
with open(invalid_sql_file, 'w') as tempfile:
tempfile.write(u'[invalid data]')
invalid_notary = sign.NotebookNotary(
db_file=invalid_sql_file,
secret=b'secret',
)
invalid_notary.sign(self.nb)
invalid_notary.store.close()
testpath.assert_isfile(os.path.join(self.data_dir, invalid_sql_file))
testpath.assert_isfile(os.path.join(self.data_dir, invalid_sql_file + '.bak'))
def test_algorithms(self):
last_sig = ''
for algo in sign.algorithms:
self.notary.algorithm = algo
sig = self.notary.compute_signature(self.nb)
self.assertNotEqual(last_sig, sig)
last_sig = sig
def test_sign_same(self):
"""Multiple signatures of the same notebook are the same"""
sig1 = self.notary.compute_signature(self.nb)
sig2 = self.notary.compute_signature(self.nb)
self.assertEqual(sig1, sig2)
def test_change_secret(self):
"""Changing the secret changes the signature"""
sig1 = self.notary.compute_signature(self.nb)
self.notary.secret = b'different'
sig2 = self.notary.compute_signature(self.nb)
self.assertNotEqual(sig1, sig2)
def test_sign(self):
self.assertFalse(self.notary.check_signature(self.nb))
self.notary.sign(self.nb)
self.assertTrue(self.notary.check_signature(self.nb))
def test_unsign(self):
self.notary.sign(self.nb)
self.assertTrue(self.notary.check_signature(self.nb))
self.notary.unsign(self.nb)
self.assertFalse(self.notary.check_signature(self.nb))
self.notary.unsign(self.nb)
self.assertFalse(self.notary.check_signature(self.nb))
def test_cull_db(self):
# this test has various sleeps of 2ms
# to ensure low resolution timestamps compare as expected
dt = 2e-3
nbs = [
copy.deepcopy(self.nb) for i in range(10)
]
for row in self.notary.store.db.execute("SELECT * FROM nbsignatures"):
print(row)
self.notary.store.cache_size = 8
for i, nb in enumerate(nbs[:8]):
nb.metadata.dirty = i
self.notary.sign(nb)
for i, nb in enumerate(nbs[:8]):
time.sleep(dt)
self.assertTrue(self.notary.check_signature(nb), 'nb %i is trusted' % i)
# signing the 9th triggers culling of first 3
# (75% of 8 = 6, 9 - 6 = 3 culled)
self.notary.sign(nbs[8])
self.assertFalse(self.notary.check_signature(nbs[0]))
self.assertFalse(self.notary.check_signature(nbs[1]))
self.assertFalse(self.notary.check_signature(nbs[2]))
self.assertTrue(self.notary.check_signature(nbs[3]))
# checking nb3 should keep it from being culled:
self.notary.sign(nbs[0])
self.notary.sign(nbs[1])
self.notary.sign(nbs[2])
self.assertTrue(self.notary.check_signature(nbs[3]))
self.assertFalse(self.notary.check_signature(nbs[4]))
def test_check_signature(self):
nb = self.nb
md = nb.metadata
notary = self.notary
check_signature = notary.check_signature
# no signature:
md.pop('signature', None)
self.assertFalse(check_signature(nb))
# hash only, no algo
md.signature = notary.compute_signature(nb)
self.assertFalse(check_signature(nb))
# proper signature, algo mismatch
notary.algorithm = 'sha224'
notary.sign(nb)
notary.algorithm = 'sha256'
self.assertFalse(check_signature(nb))
# check correctly signed notebook
notary.sign(nb)
self.assertTrue(check_signature(nb))
def test_mark_cells_untrusted(self):
cells = self.nb.cells
self.notary.mark_cells(self.nb, False)
for cell in cells:
self.assertNotIn('trusted', cell)
if cell.cell_type == 'code':
self.assertIn('trusted', cell.metadata)
self.assertFalse(cell.metadata.trusted)
else:
self.assertNotIn('trusted', cell.metadata)
def test_mark_cells_trusted(self):
cells = self.nb.cells
self.notary.mark_cells(self.nb, True)
for cell in cells:
self.assertNotIn('trusted', cell)
if cell.cell_type == 'code':
self.assertIn('trusted', cell.metadata)
self.assertTrue(cell.metadata.trusted)
else:
self.assertNotIn('trusted', cell.metadata)
def test_check_cells(self):
nb = self.nb
self.notary.mark_cells(nb, True)
self.assertTrue(self.notary.check_cells(nb))
for cell in nb.cells:
self.assertNotIn('trusted', cell)
self.notary.mark_cells(nb, False)
self.assertFalse(self.notary.check_cells(nb))
for cell in nb.cells:
self.assertNotIn('trusted', cell)
def test_trust_no_output(self):
nb = self.nb
self.notary.mark_cells(nb, False)
for cell in nb.cells:
if cell.cell_type == 'code':
cell.outputs = []
self.assertTrue(self.notary.check_cells(nb))
def test_mark_cells_untrusted_v3(self):
nb = self.nb3
cells = nb.worksheets[0].cells
self.notary.mark_cells(nb, False)
for cell in cells:
self.assertNotIn('trusted', cell)
if cell.cell_type == 'code':
self.assertIn('trusted', cell.metadata)
self.assertFalse(cell.metadata.trusted)
else:
self.assertNotIn('trusted', cell.metadata)
def test_mark_cells_trusted_v3(self):
nb = self.nb3
cells = nb.worksheets[0].cells
self.notary.mark_cells(nb, True)
for cell in cells:
self.assertNotIn('trusted', cell)
if cell.cell_type == 'code':
self.assertIn('trusted', cell.metadata)
self.assertTrue(cell.metadata.trusted)
else:
self.assertNotIn('trusted', cell.metadata)
def test_check_cells_v3(self):
nb = self.nb3
cells = nb.worksheets[0].cells
self.notary.mark_cells(nb, True)
self.assertTrue(self.notary.check_cells(nb))
for cell in cells:
self.assertNotIn('trusted', cell)
self.notary.mark_cells(nb, False)
self.assertFalse(self.notary.check_cells(nb))
for cell in cells:
self.assertNotIn('trusted', cell)
def test_sign_stdin(self):
def sign_stdin(nb):
env = os.environ.copy()
env["JUPYTER_DATA_DIR"] = self.data_dir
p = Popen([sys.executable, '-m', 'nbformat.sign', '--log-level=0'], stdin=PIPE, stdout=PIPE,
env=env,
)
write(nb, codecs.getwriter("utf8")(p.stdin))
p.stdin.close()
p.wait()
self.assertEqual(p.returncode, 0)
out = p.stdout.read().decode('utf8', 'replace')
p.stdout.close()
return out
out = sign_stdin(self.nb3)
self.assertIn('Signing notebook: <stdin>', out)
out = sign_stdin(self.nb3)
self.assertIn('already signed: <stdin>', out)
def test_config_store():
store = sign.MemorySignatureStore()
c = Config()
c.NotebookNotary.store_factory = lambda: store
notary = sign.NotebookNotary(config=c)
assert notary.store is store
class SignatureStoreTests(unittest.TestCase):
def setUp(self):
self.store = sign.MemorySignatureStore()
def test_basics(self):
digest = '0123457689abcef'
algo = 'fake_sha'
assert not self.store.check_signature(digest, algo)
self.store.store_signature(digest, algo)
assert self.store.check_signature(digest, algo)
self.store.remove_signature(digest, algo)
assert not self.store.check_signature(digest, algo)
class SQLiteSignatureStoreTests(SignatureStoreTests):
def setUp(self):
self.store = sign.SQLiteSignatureStore(':memory:')

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@ -0,0 +1,199 @@
"""Test nbformat.validator"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import os
import re
from .base import TestsBase
from jsonschema import ValidationError
from nbformat import read
from ..validator import isvalid, validate, iter_validate
from ..json_compat import VALIDATORS
import pytest
# Fixtures
@pytest.fixture(autouse=True)
def clean_env_before_and_after_tests():
"""Fixture to clean up env variables before and after tests."""
os.environ.pop("NBFORMAT_VALIDATOR", None)
yield
os.environ.pop("NBFORMAT_VALIDATOR", None)
# Helpers
def set_validator(validator_name):
os.environ["NBFORMAT_VALIDATOR"] = validator_name
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb2(validator_name):
"""Test that a v2 notebook converted to current passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test2.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb) == True
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb3(validator_name):
"""Test that a v3 notebook passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test3.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb) == True
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb4(validator_name):
"""Test that a v4 notebook passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test4.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb) == True
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb4_document_info(validator_name):
"""Test that a notebook with document_info passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test4docinfo.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb)
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb4custom(validator_name):
"""Test that a notebook with a custom JSON mimetype passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test4custom.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb)
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb4jupyter_metadata(validator_name):
"""Test that a notebook with a jupyter metadata passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test4jupyter_metadata.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb)
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_nb4jupyter_metadata_timings(validator_name):
"""Tests that a notebook with "timing" in metadata passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test4jupyter_metadata_timings.ipynb', u'r') as f:
nb = read(f, as_version=4)
validate(nb)
assert isvalid(nb)
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_invalid(validator_name):
"""Test than an invalid notebook does not pass validation"""
set_validator(validator_name)
# this notebook has a few different errors:
# - one cell is missing its source
# - invalid cell type
# - invalid output_type
with TestsBase.fopen(u'invalid.ipynb', u'r') as f:
nb = read(f, as_version=4)
with pytest.raises(ValidationError):
validate(nb)
assert not isvalid(nb)
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_validate_empty(validator_name):
"""Test that an empty notebook (invalid) fails validation"""
set_validator(validator_name)
with pytest.raises(ValidationError) as e:
validate({})
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_future(validator_name):
"""Test that a notebook from the future with extra keys passes validation"""
set_validator(validator_name)
with TestsBase.fopen(u'test4plus.ipynb', u'r') as f:
nb = read(f, as_version=4)
with pytest.raises(ValidationError):
validate(nb, version=4, version_minor=3)
assert not isvalid(nb, version=4, version_minor=3)
assert isvalid(nb)
# This is only a valid test for the default validator, jsonschema
@pytest.mark.parametrize("validator_name", ["jsonschema"])
def test_validation_error(validator_name):
set_validator(validator_name)
with TestsBase.fopen(u'invalid.ipynb', u'r') as f:
nb = read(f, as_version=4)
with pytest.raises(ValidationError) as exception_info:
validate(nb)
s = str(exception_info.value)
assert re.compile(r"validating .required. in markdown_cell").search(s)
assert re.compile(r"source.* is a required property").search(s)
assert re.compile(r"On instance\[u?['\"].*cells['\"]\]\[0\]").search(s)
assert len(s.splitlines()) < 10
# This is only a valid test for the default validator, jsonschema
@pytest.mark.parametrize("validator_name", ["jsonschema"])
def test_iter_validation_error(validator_name):
set_validator(validator_name)
with TestsBase.fopen(u'invalid.ipynb', u'r') as f:
nb = read(f, as_version=4)
errors = list(iter_validate(nb))
assert len(errors) == 3
assert {e.ref for e in errors} == {'markdown_cell', 'heading_cell', 'bad stream'}
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_iter_validation_empty(validator_name):
"""Test that an empty notebook (invalid) fails validation via iter_validate"""
set_validator(validator_name)
errors = list(iter_validate({}))
assert len(errors) == 1
assert type(errors[0]) == ValidationError
@pytest.mark.parametrize("validator_name", VALIDATORS)
def test_validation_no_version(validator_name):
"""Test that an invalid notebook with no version fails validation"""
set_validator(validator_name)
with pytest.raises(ValidationError) as e:
validate({'invalid': 'notebook'})
def test_invalid_validator_raises_value_error():
"""Test that an invalid notebook with no version fails validation"""
set_validator("foobar")
with pytest.raises(ValueError):
with TestsBase.fopen(u'test2.ipynb', u'r') as f:
nb = read(f, as_version=4)
def test_invalid_validator_raises_value_error_after_read():
"""Test that an invalid notebook with no version fails validation"""
set_validator("jsonschema")
with TestsBase.fopen(u'test2.ipynb', u'r') as f:
nb = read(f, as_version=4)
set_validator("foobar")
with pytest.raises(ValueError):
validate(nb)

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"""The main module for the v1 notebook format."""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from .nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_notebook
)
from .nbjson import reads as reads_json, writes as writes_json
from .nbjson import reads as read_json, writes as write_json
from .nbjson import to_notebook as to_notebook_json
from .convert import upgrade

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"""Convert notebook to the v1 format."""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
def upgrade(nb, orig_version=None):
raise ValueError('Cannot convert to v1 notebook format')

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@ -0,0 +1,72 @@
"""The basic dict based notebook format.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import pprint
import uuid
from ipython_genutils.ipstruct import Struct
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class NotebookNode(Struct):
pass
def from_dict(d):
if isinstance(d, dict):
newd = NotebookNode()
for k,v in d.items():
newd[k] = from_dict(v)
return newd
elif isinstance(d, (tuple, list)):
return [from_dict(i) for i in d]
else:
return d
def new_code_cell(code=None, prompt_number=None):
"""Create a new code cell with input and output"""
cell = NotebookNode()
cell.cell_type = u'code'
if code is not None:
cell.code = str(code)
if prompt_number is not None:
cell.prompt_number = int(prompt_number)
return cell
def new_text_cell(text=None):
"""Create a new text cell."""
cell = NotebookNode()
if text is not None:
cell.text = str(text)
cell.cell_type = u'text'
return cell
def new_notebook(cells=None):
"""Create a notebook by name, id and a list of worksheets."""
nb = NotebookNode()
if cells is not None:
nb.cells = cells
else:
nb.cells = []
return nb

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@ -0,0 +1,53 @@
"""Read and write notebooks in JSON format.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from .rwbase import NotebookReader, NotebookWriter
from .nbbase import from_dict
import json
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class JSONReader(NotebookReader):
def reads(self, s, **kwargs):
nb = json.loads(s, **kwargs)
return self.to_notebook(nb, **kwargs)
def to_notebook(self, d, **kwargs):
"""Convert from a raw JSON dict to a nested NotebookNode structure."""
return from_dict(d)
class JSONWriter(NotebookWriter):
def writes(self, nb, **kwargs):
kwargs['indent'] = 4
return json.dumps(nb, **kwargs)
_reader = JSONReader()
_writer = JSONWriter()
reads = _reader.reads
read = _reader.read
to_notebook = _reader.to_notebook
write = _writer.write
writes = _writer.writes

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@ -0,0 +1,45 @@
"""Base classes and function for readers and writers.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class NotebookReader(object):
def reads(self, s, **kwargs):
"""Read a notebook from a string."""
raise NotImplementedError("loads must be implemented in a subclass")
def read(self, fp, **kwargs):
"""Read a notebook from a file like object"""
return self.reads(fp.read(), **kwargs)
class NotebookWriter(object):
def writes(self, nb, **kwargs):
"""Write a notebook to a string."""
raise NotImplementedError("loads must be implemented in a subclass")
def write(self, nb, fp, **kwargs):
"""Write a notebook to a file like object"""
return fp.write(self.writes(nb,**kwargs))

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@ -0,0 +1,29 @@
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_notebook
)
nb0 = new_notebook()
nb0.cells.append(new_text_cell(
text='Some NumPy Examples'
))
nb0.cells.append(new_code_cell(
code='import numpy',
prompt_number=1
))
nb0.cells.append(new_code_cell(
code='a = numpy.random.rand(100)',
prompt_number=2
))
nb0.cells.append(new_code_cell(
code='print a',
prompt_number=3
))

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@ -0,0 +1,14 @@
from unittest import TestCase
from ..nbjson import reads, writes
from .nbexamples import nb0
class TestJSON(TestCase):
def test_roundtrip(self):
s = writes(nb0)
self.assertEqual(reads(s),nb0)

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@ -0,0 +1,41 @@
from unittest import TestCase
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_notebook
)
class TestCell(TestCase):
def test_empty_code_cell(self):
cc = new_code_cell()
self.assertEqual(cc.cell_type,'code')
self.assertEqual('code' not in cc, True)
self.assertEqual('prompt_number' not in cc, True)
def test_code_cell(self):
cc = new_code_cell(code='a=10', prompt_number=0)
self.assertEqual(cc.code, u'a=10')
self.assertEqual(cc.prompt_number, 0)
def test_empty_text_cell(self):
tc = new_text_cell()
self.assertEqual(tc.cell_type, 'text')
self.assertEqual('text' not in tc, True)
def test_text_cell(self):
tc = new_text_cell('hi')
self.assertEqual(tc.text, u'hi')
class TestNotebook(TestCase):
def test_empty_notebook(self):
nb = new_notebook()
self.assertEqual(nb.cells, [])
def test_notebooke(self):
cells = [new_code_cell(),new_text_cell()]
nb = new_notebook(cells=cells)
self.assertEqual(nb.cells,cells)

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@ -0,0 +1,84 @@
"""The main API for the v2 notebook format.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import os
from .nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_notebook, new_output, new_worksheet,
new_metadata, new_author
)
from .nbjson import reads as reads_json, writes as writes_json
from .nbjson import reads as read_json, writes as write_json
from .nbjson import to_notebook as to_notebook_json
# Implementation removed, vulnerable to DoS attacks
from .nbxml import reads as reads_xml
from .nbxml import reads as read_xml
from .nbxml import to_notebook as to_notebook_xml
from .nbpy import reads as reads_py, writes as writes_py
from .nbpy import reads as read_py, writes as write_py
from .nbpy import to_notebook as to_notebook_py
from .convert import downgrade, upgrade
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
nbformat = 2
nbformat_minor = 0
def parse_filename(fname):
"""Parse a notebook filename.
This function takes a notebook filename and returns the notebook
format (json/py) and the notebook name. This logic can be
summarized as follows:
* notebook.ipynb -> (notebook.ipynb, notebook, json)
* notebook.json -> (notebook.json, notebook, json)
* notebook.py -> (notebook.py, notebook, py)
* notebook -> (notebook.ipynb, notebook, json)
Parameters
----------
fname : unicode
The notebook filename. The filename can use a specific filename
extention (.ipynb, .json, .py) or none, in which case .ipynb will
be assumed.
Returns
-------
(fname, name, format) : (unicode, unicode, unicode)
The filename, notebook name and format.
"""
basename, ext = os.path.splitext(fname)
if ext == u'.ipynb':
format = u'json'
elif ext == u'.json':
format = u'json'
elif ext == u'.py':
format = u'py'
else:
basename = fname
fname = fname + u'.ipynb'
format = u'json'
return fname, basename, format

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@ -0,0 +1,61 @@
"""Code for converting notebooks to and from the v2 format.
Authors:
* Brian Granger
* Jonathan Frederic
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from .nbbase import (
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output
)
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
def upgrade(nb, from_version=1):
"""Convert a notebook to the v2 format.
Parameters
----------
nb : NotebookNode
The Python representation of the notebook to convert.
from_version : int
The version of the notebook to convert from.
"""
if from_version == 1:
newnb = new_notebook()
ws = new_worksheet()
for cell in nb.cells:
if cell.cell_type == u'code':
newcell = new_code_cell(input=cell.get('code'),prompt_number=cell.get('prompt_number'))
elif cell.cell_type == u'text':
newcell = new_text_cell(u'markdown',source=cell.get('text'))
ws.cells.append(newcell)
newnb.worksheets.append(ws)
return newnb
else:
raise ValueError('Cannot convert a notebook from v%s to v2' % from_version)
def downgrade(nb):
"""Convert a v2 notebook to v1.
Parameters
----------
nb : NotebookNode
The Python representation of the notebook to convert.
"""
raise Exception("Downgrade from notebook v2 to v1 is not supported.")

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@ -0,0 +1,179 @@
"""The basic dict based notebook format.
The Python representation of a notebook is a nested structure of
dictionary subclasses that support attribute access
(ipython_genutils.ipstruct.Struct). The functions in this module are merely
helpers to build the structs in the right form.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import pprint
import uuid
from ipython_genutils.ipstruct import Struct
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class NotebookNode(Struct):
pass
def from_dict(d):
if isinstance(d, dict):
newd = NotebookNode()
for k,v in d.items():
newd[k] = from_dict(v)
return newd
elif isinstance(d, (tuple, list)):
return [from_dict(i) for i in d]
else:
return d
def new_output(output_type=None, output_text=None, output_png=None,
output_html=None, output_svg=None, output_latex=None, output_json=None,
output_javascript=None, output_jpeg=None, prompt_number=None,
etype=None, evalue=None, traceback=None):
"""Create a new code cell with input and output"""
output = NotebookNode()
if output_type is not None:
output.output_type = str(output_type)
if output_type != 'pyerr':
if output_text is not None:
output.text = str(output_text)
if output_png is not None:
output.png = bytes(output_png)
if output_jpeg is not None:
output.jpeg = bytes(output_jpeg)
if output_html is not None:
output.html = str(output_html)
if output_svg is not None:
output.svg = str(output_svg)
if output_latex is not None:
output.latex = str(output_latex)
if output_json is not None:
output.json = str(output_json)
if output_javascript is not None:
output.javascript = str(output_javascript)
if output_type == u'pyout':
if prompt_number is not None:
output.prompt_number = int(prompt_number)
if output_type == u'pyerr':
if etype is not None:
output.etype = str(etype)
if evalue is not None:
output.evalue = str(evalue)
if traceback is not None:
output.traceback = [str(frame) for frame in list(traceback)]
return output
def new_code_cell(input=None, prompt_number=None, outputs=None,
language=u'python', collapsed=False):
"""Create a new code cell with input and output"""
cell = NotebookNode()
cell.cell_type = u'code'
if language is not None:
cell.language = str(language)
if input is not None:
cell.input = str(input)
if prompt_number is not None:
cell.prompt_number = int(prompt_number)
if outputs is None:
cell.outputs = []
else:
cell.outputs = outputs
if collapsed is not None:
cell.collapsed = bool(collapsed)
return cell
def new_text_cell(cell_type, source=None, rendered=None):
"""Create a new text cell."""
cell = NotebookNode()
if source is not None:
cell.source = str(source)
if rendered is not None:
cell.rendered = str(rendered)
cell.cell_type = cell_type
return cell
def new_worksheet(name=None, cells=None):
"""Create a worksheet by name with with a list of cells."""
ws = NotebookNode()
if name is not None:
ws.name = str(name)
if cells is None:
ws.cells = []
else:
ws.cells = list(cells)
return ws
def new_notebook(metadata=None, worksheets=None):
"""Create a notebook by name, id and a list of worksheets."""
nb = NotebookNode()
nb.nbformat = 2
if worksheets is None:
nb.worksheets = []
else:
nb.worksheets = list(worksheets)
if metadata is None:
nb.metadata = new_metadata()
else:
nb.metadata = NotebookNode(metadata)
return nb
def new_metadata(name=None, authors=None, license=None, created=None,
modified=None, gistid=None):
"""Create a new metadata node."""
metadata = NotebookNode()
if name is not None:
metadata.name = str(name)
if authors is not None:
metadata.authors = list(authors)
if created is not None:
metadata.created = str(created)
if modified is not None:
metadata.modified = str(modified)
if license is not None:
metadata.license = str(license)
if gistid is not None:
metadata.gistid = str(gistid)
return metadata
def new_author(name=None, email=None, affiliation=None, url=None):
"""Create a new author."""
author = NotebookNode()
if name is not None:
author.name = str(name)
if email is not None:
author.email = str(email)
if affiliation is not None:
author.affiliation = str(affiliation)
if url is not None:
author.url = str(url)
return author

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@ -0,0 +1,69 @@
"""Read and write notebooks in JSON format.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import copy
import json
from .nbbase import from_dict
from .rwbase import (
NotebookReader, NotebookWriter, restore_bytes, rejoin_lines, split_lines
)
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class BytesEncoder(json.JSONEncoder):
"""A JSON encoder that accepts b64 (and other *ascii*) bytestrings."""
def default(self, obj):
if isinstance(obj, bytes):
return obj.decode('ascii')
return json.JSONEncoder.default(self, obj)
class JSONReader(NotebookReader):
def reads(self, s, **kwargs):
nb = json.loads(s, **kwargs)
nb = self.to_notebook(nb, **kwargs)
return nb
def to_notebook(self, d, **kwargs):
return restore_bytes(rejoin_lines(from_dict(d)))
class JSONWriter(NotebookWriter):
def writes(self, nb, **kwargs):
kwargs['cls'] = BytesEncoder
kwargs['indent'] = 1
kwargs['sort_keys'] = True
if kwargs.pop('split_lines', True):
nb = split_lines(copy.deepcopy(nb))
return json.dumps(nb, **kwargs)
_reader = JSONReader()
_writer = JSONWriter()
reads = _reader.reads
read = _reader.read
to_notebook = _reader.to_notebook
write = _writer.write
writes = _writer.writes

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@ -0,0 +1,150 @@
"""Read and write notebooks as regular .py files.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import re
from .rwbase import NotebookReader, NotebookWriter
from .nbbase import new_code_cell, new_text_cell, new_worksheet, new_notebook
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
_encoding_declaration_re = re.compile(r"^#.*coding[:=]\s*([-\w.]+)")
class PyReaderError(Exception):
pass
class PyReader(NotebookReader):
def reads(self, s, **kwargs):
return self.to_notebook(s,**kwargs)
def to_notebook(self, s, **kwargs):
lines = s.splitlines()
cells = []
cell_lines = []
state = u'codecell'
for line in lines:
if line.startswith(u'# <nbformat>') or _encoding_declaration_re.match(line):
pass
elif line.startswith(u'# <codecell>'):
cell = self.new_cell(state, cell_lines)
if cell is not None:
cells.append(cell)
state = u'codecell'
cell_lines = []
elif line.startswith(u'# <htmlcell>'):
cell = self.new_cell(state, cell_lines)
if cell is not None:
cells.append(cell)
state = u'htmlcell'
cell_lines = []
elif line.startswith(u'# <markdowncell>'):
cell = self.new_cell(state, cell_lines)
if cell is not None:
cells.append(cell)
state = u'markdowncell'
cell_lines = []
else:
cell_lines.append(line)
if cell_lines and state == u'codecell':
cell = self.new_cell(state, cell_lines)
if cell is not None:
cells.append(cell)
ws = new_worksheet(cells=cells)
nb = new_notebook(worksheets=[ws])
return nb
def new_cell(self, state, lines):
if state == u'codecell':
input = u'\n'.join(lines)
input = input.strip(u'\n')
if input:
return new_code_cell(input=input)
elif state == u'htmlcell':
text = self._remove_comments(lines)
if text:
return new_text_cell(u'html',source=text)
elif state == u'markdowncell':
text = self._remove_comments(lines)
if text:
return new_text_cell(u'markdown',source=text)
def _remove_comments(self, lines):
new_lines = []
for line in lines:
if line.startswith(u'#'):
new_lines.append(line[2:])
else:
new_lines.append(line)
text = u'\n'.join(new_lines)
text = text.strip(u'\n')
return text
def split_lines_into_blocks(self, lines):
if len(lines) == 1:
yield lines[0]
raise StopIteration()
import ast
source = '\n'.join(lines)
code = ast.parse(source)
starts = [x.lineno-1 for x in code.body]
for i in range(len(starts)-1):
yield '\n'.join(lines[starts[i]:starts[i+1]]).strip('\n')
yield '\n'.join(lines[starts[-1]:]).strip('\n')
class PyWriter(NotebookWriter):
def writes(self, nb, **kwargs):
lines = [u'# -*- coding: utf-8 -*-']
lines.extend([u'# <nbformat>2</nbformat>',''])
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == u'code':
input = cell.get(u'input')
if input is not None:
lines.extend([u'# <codecell>',u''])
lines.extend(input.splitlines())
lines.append(u'')
elif cell.cell_type == u'html':
input = cell.get(u'source')
if input is not None:
lines.extend([u'# <htmlcell>',u''])
lines.extend([u'# ' + line for line in input.splitlines()])
lines.append(u'')
elif cell.cell_type == u'markdown':
input = cell.get(u'source')
if input is not None:
lines.extend([u'# <markdowncell>',u''])
lines.extend([u'# ' + line for line in input.splitlines()])
lines.append(u'')
lines.append('')
return str('\n'.join(lines))
_reader = PyReader()
_writer = PyWriter()
reads = _reader.reads
read = _reader.read
to_notebook = _reader.to_notebook
write = _writer.write
writes = _writer.writes

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@ -0,0 +1,27 @@
"""REMOVED: Read and write notebook files as XML.
"""
REMOVED_MSG = """\
Reading notebooks as XML has been removed to harden security and avoid
possible denial-of-service attacks.
The XML notebook format was deprecated before the Jupyter (previously IPython)
Notebook was ever released. We are not aware of anyone using it, so we have
removed it.
If you were using this code, and you need to continue using it, feel free to
fork an earlier version of the nbformat package and maintain it yourself.
The issue which prompted this removal is:
https://github.com/jupyter/nbformat/issues/132
"""
def reads(s, **kwargs):
raise Exception(REMOVED_MSG)
def read(fp, **kwargs):
raise Exception(REMOVED_MSG)
def to_notebook(root, **kwargs):
raise Exception(REMOVED_MSG)

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@ -0,0 +1,165 @@
"""Base classes and utilities for readers and writers.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import pprint
from ipython_genutils.py3compat import str_to_bytes
from .._compat import encodebytes, decodebytes
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
def restore_bytes(nb):
"""Restore bytes of image data from unicode-only formats.
Base64 encoding is handled elsewhere. Bytes objects in the notebook are
always b64-encoded. We DO NOT encode/decode around file formats.
"""
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'code':
for output in cell.outputs:
if 'png' in output:
output.png = str_to_bytes(output.png, 'ascii')
if 'jpeg' in output:
output.jpeg = str_to_bytes(output.jpeg, 'ascii')
return nb
# output keys that are likely to have multiline values
_multiline_outputs = ['text', 'html', 'svg', 'latex', 'javascript', 'json']
def rejoin_lines(nb):
"""rejoin multiline text into strings
For reversing effects of ``split_lines(nb)``.
This only rejoins lines that have been split, so if text objects were not split
they will pass through unchanged.
Used when reading JSON files that may have been passed through split_lines.
"""
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'code':
if 'input' in cell and isinstance(cell.input, list):
cell.input = u'\n'.join(cell.input)
for output in cell.outputs:
for key in _multiline_outputs:
item = output.get(key, None)
if isinstance(item, list):
output[key] = u'\n'.join(item)
else: # text cell
for key in ['source', 'rendered']:
item = cell.get(key, None)
if isinstance(item, list):
cell[key] = u'\n'.join(item)
return nb
def split_lines(nb):
"""split likely multiline text into lists of strings
For file output more friendly to line-based VCS. ``rejoin_lines(nb)`` will
reverse the effects of ``split_lines(nb)``.
Used when writing JSON files.
"""
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'code':
if 'input' in cell and isinstance(cell.input, str):
cell.input = cell.input.splitlines()
for output in cell.outputs:
for key in _multiline_outputs:
item = output.get(key, None)
if isinstance(item, str):
output[key] = item.splitlines()
else: # text cell
for key in ['source', 'rendered']:
item = cell.get(key, None)
if isinstance(item, str):
cell[key] = item.splitlines()
return nb
# b64 encode/decode are never actually used, because all bytes objects in
# the notebook are already b64-encoded, and we don't need/want to double-encode
def base64_decode(nb):
"""Restore all bytes objects in the notebook from base64-encoded strings.
Note: This is never used
"""
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'code':
for output in cell.outputs:
if 'png' in output:
if isinstance(output.png, str):
output.png = output.png.encode('ascii')
output.png = decodebytes(output.png)
if 'jpeg' in output:
if isinstance(output.jpeg, str):
output.jpeg = output.jpeg.encode('ascii')
output.jpeg = decodebytes(output.jpeg)
return nb
def base64_encode(nb):
"""Base64 encode all bytes objects in the notebook.
These will be b64-encoded unicode strings
Note: This is never used
"""
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'code':
for output in cell.outputs:
if 'png' in output:
output.png = encodebytes(output.png).decode('ascii')
if 'jpeg' in output:
output.jpeg = encodebytes(output.jpeg).decode('ascii')
return nb
class NotebookReader(object):
"""A class for reading notebooks."""
def reads(self, s, **kwargs):
"""Read a notebook from a string."""
raise NotImplementedError("loads must be implemented in a subclass")
def read(self, fp, **kwargs):
"""Read a notebook from a file like object"""
return self.read(fp.read(), **kwargs)
class NotebookWriter(object):
"""A class for writing notebooks."""
def writes(self, nb, **kwargs):
"""Write a notebook to a string."""
raise NotImplementedError("loads must be implemented in a subclass")
def write(self, nb, fp, **kwargs):
"""Write a notebook to a file like object"""
return fp.write(self.writes(nb,**kwargs))

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import os
from ..._compat import encodebytes
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output,
new_metadata, new_author
)
# some random base64-encoded *bytes*
png = encodebytes(os.urandom(5))
jpeg = encodebytes(os.urandom(6))
ws = new_worksheet(name='worksheet1')
ws.cells.append(new_text_cell(
u'html',
source='Some NumPy Examples',
rendered='Some NumPy Examples'
))
ws.cells.append(new_code_cell(
input='import numpy',
prompt_number=1,
collapsed=False
))
ws.cells.append(new_text_cell(
u'markdown',
source='A random array',
rendered='A random array'
))
ws.cells.append(new_code_cell(
input='a = numpy.random.rand(100)',
prompt_number=2,
collapsed=True
))
ws.cells.append(new_code_cell(
input='print a',
prompt_number=3,
collapsed=False,
outputs=[new_output(
output_type=u'pyout',
output_text=u'<array a>',
output_html=u'The HTML rep',
output_latex=u'$a$',
output_png=png,
output_jpeg=jpeg,
output_svg=u'<svg>',
output_json=u'json data',
output_javascript=u'var i=0;',
prompt_number=3
),new_output(
output_type=u'display_data',
output_text=u'<array a>',
output_html=u'The HTML rep',
output_latex=u'$a$',
output_png=png,
output_jpeg=jpeg,
output_svg=u'<svg>',
output_json=u'json data',
output_javascript=u'var i=0;'
),new_output(
output_type=u'pyerr',
etype=u'NameError',
evalue=u'NameError was here',
traceback=[u'frame 0', u'frame 1', u'frame 2']
)]
))
authors = [new_author(name='Bart Simpson',email='bsimpson@fox.com',
affiliation=u'Fox',url=u'http://www.fox.com')]
md = new_metadata(name=u'My Notebook',license=u'BSD',created=u'8601_goes_here',
modified=u'8601_goes_here',gistid=u'21341231',authors=authors)
nb0 = new_notebook(
worksheets=[ws, new_worksheet(name='worksheet2')],
metadata=md
)
nb0_py = """# -*- coding: utf-8 -*-
# <nbformat>2</nbformat>
# <htmlcell>
# Some NumPy Examples
# <codecell>
import numpy
# <markdowncell>
# A random array
# <codecell>
a = numpy.random.rand(100)
# <codecell>
print a
"""

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import pprint
from unittest import TestCase
from ..nbjson import reads, writes
from .nbexamples import nb0
class TestJSON(TestCase):
def test_roundtrip(self):
s = writes(nb0)
# print
# print pprint.pformat(nb0,indent=2)
# print
# print pprint.pformat(reads(s),indent=2)
# print
# print s
self.assertEqual(reads(s),nb0)
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(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(reads(s),nb0)

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from unittest import TestCase
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output,
new_author, new_metadata
)
class TestCell(TestCase):
def test_empty_code_cell(self):
cc = new_code_cell()
self.assertEqual(cc.cell_type,u'code')
self.assertEqual(u'input' not in cc, True)
self.assertEqual(u'prompt_number' not in cc, True)
self.assertEqual(cc.outputs, [])
self.assertEqual(cc.collapsed, False)
def test_code_cell(self):
cc = new_code_cell(input='a=10', prompt_number=0, collapsed=True)
cc.outputs = [new_output(output_type=u'pyout',
output_svg=u'foo',output_text=u'10',prompt_number=0)]
self.assertEqual(cc.input, u'a=10')
self.assertEqual(cc.prompt_number, 0)
self.assertEqual(cc.language, u'python')
self.assertEqual(cc.outputs[0].svg, u'foo')
self.assertEqual(cc.outputs[0].text, u'10')
self.assertEqual(cc.outputs[0].prompt_number, 0)
self.assertEqual(cc.collapsed, True)
def test_pyerr(self):
o = new_output(output_type=u'pyerr', etype=u'NameError',
evalue=u'Name not found', traceback=[u'frame 0', u'frame 1', u'frame 2']
)
self.assertEqual(o.output_type, u'pyerr')
self.assertEqual(o.etype, u'NameError')
self.assertEqual(o.evalue, u'Name not found')
self.assertEqual(o.traceback, [u'frame 0', u'frame 1', u'frame 2'])
def test_empty_html_cell(self):
tc = new_text_cell(u'html')
self.assertEqual(tc.cell_type, u'html')
self.assertEqual(u'source' not in tc, True)
self.assertEqual(u'rendered' not in tc, True)
def test_html_cell(self):
tc = new_text_cell(u'html', 'hi', 'hi')
self.assertEqual(tc.source, u'hi')
self.assertEqual(tc.rendered, u'hi')
def test_empty_markdown_cell(self):
tc = new_text_cell(u'markdown')
self.assertEqual(tc.cell_type, u'markdown')
self.assertEqual(u'source' not in tc, True)
self.assertEqual(u'rendered' not in tc, True)
def test_markdown_cell(self):
tc = new_text_cell(u'markdown', 'hi', 'hi')
self.assertEqual(tc.source, u'hi')
self.assertEqual(tc.rendered, u'hi')
class TestWorksheet(TestCase):
def test_empty_worksheet(self):
ws = new_worksheet()
self.assertEqual(ws.cells,[])
self.assertEqual(u'name' not in ws, True)
def test_worksheet(self):
cells = [new_code_cell(), new_text_cell(u'html')]
ws = new_worksheet(cells=cells,name=u'foo')
self.assertEqual(ws.cells,cells)
self.assertEqual(ws.name,u'foo')
class TestNotebook(TestCase):
def test_empty_notebook(self):
nb = new_notebook()
self.assertEqual(nb.worksheets, [])
self.assertEqual(nb.metadata, NotebookNode())
self.assertEqual(nb.nbformat,2)
def test_notebook(self):
worksheets = [new_worksheet(),new_worksheet()]
metadata = new_metadata(name=u'foo')
nb = new_notebook(metadata=metadata,worksheets=worksheets)
self.assertEqual(nb.metadata.name,u'foo')
self.assertEqual(nb.worksheets,worksheets)
self.assertEqual(nb.nbformat,2)
class TestMetadata(TestCase):
def test_empty_metadata(self):
md = new_metadata()
self.assertEqual(u'name' not in md, True)
self.assertEqual(u'authors' not in md, True)
self.assertEqual(u'license' not in md, True)
self.assertEqual(u'saved' not in md, True)
self.assertEqual(u'modified' not in md, True)
self.assertEqual(u'gistid' not in md, True)
def test_metadata(self):
authors = [new_author(name='Bart Simpson',email='bsimpson@fox.com')]
md = new_metadata(name=u'foo',license=u'BSD',created=u'today',
modified=u'now',gistid=u'21341231',authors=authors)
self.assertEqual(md.name, u'foo')
self.assertEqual(md.license, u'BSD')
self.assertEqual(md.created, u'today')
self.assertEqual(md.modified, u'now')
self.assertEqual(md.gistid, u'21341231')
self.assertEqual(md.authors, authors)

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from unittest import TestCase
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_worksheet, new_notebook
)
from ..nbpy import reads, writes
from .nbexamples import nb0, nb0_py
class TestPy(TestCase):
def test_write(self):
s = writes(nb0)
self.assertEqual(s,nb0_py)

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"""The main API for the v3 notebook format.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
__all__ = ['NotebookNode', 'new_code_cell', 'new_text_cell', 'new_notebook',
'new_output', 'new_worksheet', 'new_metadata', 'new_author',
'new_heading_cell', 'nbformat', 'nbformat_minor', 'nbformat_schema',
'reads_json', 'writes_json', 'read_json', 'write_json',
'to_notebook_json', 'reads_py', 'writes_py', 'read_py', 'write_py',
'to_notebook_py', 'downgrade', 'upgrade', 'parse_filename'
]
import os
from .nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_notebook, new_output, new_worksheet,
new_metadata, new_author, new_heading_cell, nbformat, nbformat_minor,
nbformat_schema
)
from .nbjson import reads as reads_json, writes as writes_json
from .nbjson import reads as read_json, writes as write_json
from .nbjson import to_notebook as to_notebook_json
from .nbpy import reads as reads_py, writes as writes_py
from .nbpy import reads as read_py, writes as write_py
from .nbpy import to_notebook as to_notebook_py
from .convert import downgrade, upgrade
def parse_filename(fname):
"""Parse a notebook filename.
This function takes a notebook filename and returns the notebook
format (json/py) and the notebook name. This logic can be
summarized as follows:
* notebook.ipynb -> (notebook.ipynb, notebook, json)
* notebook.json -> (notebook.json, notebook, json)
* notebook.py -> (notebook.py, notebook, py)
* notebook -> (notebook.ipynb, notebook, json)
Parameters
----------
fname : unicode
The notebook filename. The filename can use a specific filename
extention (.ipynb, .json, .py) or none, in which case .ipynb will
be assumed.
Returns
-------
(fname, name, format) : (unicode, unicode, unicode)
The filename, notebook name and format.
"""
basename, ext = os.path.splitext(fname)
if ext == u'.ipynb':
format = u'json'
elif ext == u'.json':
format = u'json'
elif ext == u'.py':
format = u'py'
else:
basename = fname
fname = fname + u'.ipynb'
format = u'json'
return fname, basename, format

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"""Code for converting notebooks to and from the v2 format."""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from .nbbase import (
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output,
nbformat, nbformat_minor
)
from nbformat import v2
def _unbytes(obj):
"""There should be no bytes objects in a notebook
v2 stores png/jpeg as b64 ascii bytes
"""
if isinstance(obj, dict):
for k,v in obj.items():
obj[k] = _unbytes(v)
elif isinstance(obj, list):
for i,v in enumerate(obj):
obj[i] = _unbytes(v)
elif isinstance(obj, bytes):
# only valid bytes are b64-encoded ascii
obj = obj.decode('ascii')
return obj
def upgrade(nb, from_version=2, from_minor=0):
"""Convert a notebook to v3.
Parameters
----------
nb : NotebookNode
The Python representation of the notebook to convert.
from_version : int
The original version of the notebook to convert.
from_minor : int
The original minor version of the notebook to convert (only relevant for v >= 3).
"""
if from_version == 2:
# Mark the original nbformat so consumers know it has been converted.
nb.nbformat = nbformat
nb.nbformat_minor = nbformat_minor
nb.orig_nbformat = 2
nb = _unbytes(nb)
for ws in nb['worksheets']:
for cell in ws['cells']:
cell.setdefault('metadata', {})
return nb
elif from_version == 3:
if from_minor != nbformat_minor:
nb.orig_nbformat_minor = from_minor
nb.nbformat_minor = nbformat_minor
return nb
else:
raise ValueError('Cannot convert a notebook directly from v%s to v3. ' \
'Try using the nbformat.convert module.' % from_version)
def heading_to_md(cell):
"""turn heading cell into corresponding markdown"""
cell.cell_type = "markdown"
level = cell.pop('level', 1)
cell.source = '#'*level + ' ' + cell.source
def raw_to_md(cell):
"""let raw passthrough as markdown"""
cell.cell_type = "markdown"
def downgrade(nb):
"""Convert a v3 notebook to v2.
Parameters
----------
nb : NotebookNode
The Python representation of the notebook to convert.
"""
if nb.nbformat != 3:
return nb
nb.nbformat = 2
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'heading':
heading_to_md(cell)
elif cell.cell_type == 'raw':
raw_to_md(cell)
return nb

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"""The basic dict based notebook format.
The Python representation of a notebook is a nested structure of
dictionary subclasses that support attribute access
(ipython_genutils.ipstruct.Struct). The functions in this module are merely
helpers to build the structs in the right form.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import pprint
import uuid
from ipython_genutils.ipstruct import Struct
from ipython_genutils.py3compat import cast_unicode
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
# Change this when incrementing the nbformat version
nbformat = 3
nbformat_minor = 0
nbformat_schema = {
(3, 0): 'nbformat.v3.schema.json'
}
class NotebookNode(Struct):
pass
def from_dict(d):
if isinstance(d, dict):
newd = NotebookNode()
for k,v in d.items():
newd[k] = from_dict(v)
return newd
elif isinstance(d, (tuple, list)):
return [from_dict(i) for i in d]
else:
return d
def new_output(output_type, output_text=None, output_png=None,
output_html=None, output_svg=None, output_latex=None, output_json=None,
output_javascript=None, output_jpeg=None, prompt_number=None,
ename=None, evalue=None, traceback=None, stream=None, metadata=None):
"""Create a new output, to go in the ``cell.outputs`` list of a code cell.
"""
output = NotebookNode()
output.output_type = str(output_type)
if metadata is None:
metadata = {}
if not isinstance(metadata, dict):
raise TypeError("metadata must be dict")
if output_type in {u'pyout', 'display_data'}:
output.metadata = metadata
if output_type != 'pyerr':
if output_text is not None:
output.text = cast_unicode(output_text)
if output_png is not None:
output.png = cast_unicode(output_png)
if output_jpeg is not None:
output.jpeg = cast_unicode(output_jpeg)
if output_html is not None:
output.html = cast_unicode(output_html)
if output_svg is not None:
output.svg = cast_unicode(output_svg)
if output_latex is not None:
output.latex = cast_unicode(output_latex)
if output_json is not None:
output.json = cast_unicode(output_json)
if output_javascript is not None:
output.javascript = cast_unicode(output_javascript)
if output_type == u'pyout':
if prompt_number is not None:
output.prompt_number = int(prompt_number)
if output_type == u'pyerr':
if ename is not None:
output.ename = cast_unicode(ename)
if evalue is not None:
output.evalue = cast_unicode(evalue)
if traceback is not None:
output.traceback = [cast_unicode(frame) for frame in list(traceback)]
if output_type == u'stream':
output.stream = 'stdout' if stream is None else cast_unicode(stream)
return output
def new_code_cell(input=None, prompt_number=None, outputs=None,
language=u'python', collapsed=False, metadata=None):
"""Create a new code cell with input and output"""
cell = NotebookNode()
cell.cell_type = u'code'
if language is not None:
cell.language = cast_unicode(language)
if input is not None:
cell.input = cast_unicode(input)
if prompt_number is not None:
cell.prompt_number = int(prompt_number)
if outputs is None:
cell.outputs = []
else:
cell.outputs = outputs
if collapsed is not None:
cell.collapsed = bool(collapsed)
cell.metadata = NotebookNode(metadata or {})
return cell
def new_text_cell(cell_type, source=None, rendered=None, metadata=None):
"""Create a new text cell."""
cell = NotebookNode()
# VERSIONHACK: plaintext -> raw
# handle never-released plaintext name for raw cells
if cell_type == 'plaintext':
cell_type = 'raw'
if source is not None:
cell.source = cast_unicode(source)
cell.metadata = NotebookNode(metadata or {})
cell.cell_type = cell_type
return cell
def new_heading_cell(source=None, level=1, rendered=None, metadata=None):
"""Create a new section cell with a given integer level."""
cell = NotebookNode()
cell.cell_type = u'heading'
if source is not None:
cell.source = cast_unicode(source)
cell.level = int(level)
cell.metadata = NotebookNode(metadata or {})
return cell
def new_worksheet(name=None, cells=None, metadata=None):
"""Create a worksheet by name with with a list of cells."""
ws = NotebookNode()
if cells is None:
ws.cells = []
else:
ws.cells = list(cells)
ws.metadata = NotebookNode(metadata or {})
return ws
def new_notebook(name=None, metadata=None, worksheets=None):
"""Create a notebook by name, id and a list of worksheets."""
nb = NotebookNode()
nb.nbformat = nbformat
nb.nbformat_minor = nbformat_minor
if worksheets is None:
nb.worksheets = []
else:
nb.worksheets = list(worksheets)
if metadata is None:
nb.metadata = new_metadata()
else:
nb.metadata = NotebookNode(metadata)
if name is not None:
nb.metadata.name = cast_unicode(name)
return nb
def new_metadata(name=None, authors=None, license=None, created=None,
modified=None, gistid=None):
"""Create a new metadata node."""
metadata = NotebookNode()
if name is not None:
metadata.name = cast_unicode(name)
if authors is not None:
metadata.authors = list(authors)
if created is not None:
metadata.created = cast_unicode(created)
if modified is not None:
metadata.modified = cast_unicode(modified)
if license is not None:
metadata.license = cast_unicode(license)
if gistid is not None:
metadata.gistid = cast_unicode(gistid)
return metadata
def new_author(name=None, email=None, affiliation=None, url=None):
"""Create a new author."""
author = NotebookNode()
if name is not None:
author.name = cast_unicode(name)
if email is not None:
author.email = cast_unicode(email)
if affiliation is not None:
author.affiliation = cast_unicode(affiliation)
if url is not None:
author.url = cast_unicode(url)
return author

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{
"$schema": "http://json-schema.org/draft-04/schema#",
"description": "IPython Notebook v3.0 JSON schema.",
"type": "object",
"additionalProperties": false,
"required": ["metadata", "nbformat_minor", "nbformat", "worksheets"],
"properties": {
"metadata": {
"description": "Notebook root-level metadata.",
"type": "object",
"additionalProperties": true,
"properties": {
"kernel_info": {
"description": "Kernel information.",
"type": "object",
"required": ["name", "language"],
"properties": {
"name": {
"description": "Name of the kernel specification.",
"type": "string"
},
"language": {
"description": "The programming language which this kernel runs.",
"type": "string"
},
"codemirror_mode": {
"description": "The codemirror mode to use for code in this language.",
"type": "string"
}
}
},
"signature": {
"description": "Hash of the notebook.",
"type": "string"
}
}
},
"nbformat_minor": {
"description": "Notebook format (minor number). Incremented for backward compatible changes to the notebook format.",
"type": "integer",
"minimum": 0
},
"nbformat": {
"description": "Notebook format (major number). Incremented between backwards incompatible changes to the notebook format.",
"type": "integer",
"minimum": 3,
"maximum": 3
},
"orig_nbformat": {
"description": "Original notebook format (major number) before converting the notebook between versions.",
"type": "integer",
"minimum": 1
},
"orig_nbformat_minor": {
"description": "Original notebook format (minor number) before converting the notebook between versions.",
"type": "integer",
"minimum": 0
},
"worksheets" : {
"description": "Array of worksheets",
"type": "array",
"items": {"$ref": "#/definitions/worksheet"}
}
},
"definitions": {
"worksheet": {
"additionalProperties": false,
"required" : ["cells"],
"properties":{
"cells": {
"description": "Array of cells of the current notebook.",
"type": "array",
"items": {
"type": "object",
"oneOf": [
{"$ref": "#/definitions/raw_cell"},
{"$ref": "#/definitions/markdown_cell"},
{"$ref": "#/definitions/heading_cell"},
{"$ref": "#/definitions/code_cell"}
]
}
},
"metadata": {
"type": "object",
"description": "metadata of the current worksheet"
}
}
},
"raw_cell": {
"description": "Notebook raw nbconvert cell.",
"type": "object",
"additionalProperties": false,
"required": ["cell_type", "source"],
"properties": {
"cell_type": {
"description": "String identifying the type of cell.",
"enum": ["raw"]
},
"metadata": {
"description": "Cell-level metadata.",
"type": "object",
"additionalProperties": true,
"properties": {
"format": {
"description": "Raw cell metadata format for nbconvert.",
"type": "string"
},
"name": {"$ref": "#/definitions/misc/metadata_name"},
"tags": {"$ref": "#/definitions/misc/metadata_tags"}
}
},
"source": {"$ref": "#/definitions/misc/source"}
}
},
"markdown_cell": {
"description": "Notebook markdown cell.",
"type": "object",
"additionalProperties": false,
"required": ["cell_type", "source"],
"properties": {
"cell_type": {
"description": "String identifying the type of cell.",
"enum": ["markdown", "html"]
},
"metadata": {
"description": "Cell-level metadata.",
"type": "object",
"properties": {
"name": {"$ref": "#/definitions/misc/metadata_name"},
"tags": {"$ref": "#/definitions/misc/metadata_tags"}
},
"additionalProperties": true
},
"source": {"$ref": "#/definitions/misc/source"}
}
},
"heading_cell": {
"description": "Notebook heading cell.",
"type": "object",
"additionalProperties": false,
"required": ["cell_type", "source", "level"],
"properties": {
"cell_type": {
"description": "String identifying the type of cell.",
"enum": ["heading"]
},
"metadata": {
"description": "Cell-level metadata.",
"type": "object",
"additionalProperties": true
},
"source": {"$ref": "#/definitions/misc/source"},
"level": {
"description": "Level of heading cells.",
"type": "integer",
"minimum": 1
}
}
},
"code_cell": {
"description": "Notebook code cell.",
"type": "object",
"additionalProperties": false,
"required": ["cell_type", "input", "outputs", "language"],
"properties": {
"cell_type": {
"description": "String identifying the type of cell.",
"enum": ["code"]
},
"language": {
"description": "The cell's language (always Python)",
"type": "string"
},
"collapsed": {
"description": "Whether the cell is collapsed/expanded.",
"type": "boolean"
},
"metadata": {
"description": "Cell-level metadata.",
"type": "object",
"additionalProperties": true
},
"input": {"$ref": "#/definitions/misc/source"},
"outputs": {
"description": "Execution, display, or stream outputs.",
"type": "array",
"items": {"$ref": "#/definitions/output"}
},
"prompt_number": {
"description": "The code cell's prompt number. Will be null if the cell has not been run.",
"type": ["integer", "null"],
"minimum": 0
}
}
},
"output": {
"type": "object",
"oneOf": [
{"$ref": "#/definitions/pyout"},
{"$ref": "#/definitions/display_data"},
{"$ref": "#/definitions/stream"},
{"$ref": "#/definitions/pyerr"}
]
},
"pyout": {
"description": "Result of executing a code cell.",
"type": "object",
"additionalProperties": false,
"required": ["output_type", "prompt_number"],
"properties": {
"output_type": {
"description": "Type of cell output.",
"enum": ["pyout"]
},
"prompt_number": {
"description": "A result's prompt number.",
"type": ["integer"],
"minimum": 0
},
"text": {"$ref": "#/definitions/misc/multiline_string"},
"latex": {"$ref": "#/definitions/misc/multiline_string"},
"png": {"$ref": "#/definitions/misc/multiline_string"},
"jpeg": {"$ref": "#/definitions/misc/multiline_string"},
"svg": {"$ref": "#/definitions/misc/multiline_string"},
"html": {"$ref": "#/definitions/misc/multiline_string"},
"javascript": {"$ref": "#/definitions/misc/multiline_string"},
"json": {"$ref": "#/definitions/misc/multiline_string"},
"pdf": {"$ref": "#/definitions/misc/multiline_string"},
"metadata": {"$ref": "#/definitions/misc/output_metadata"}
},
"patternProperties": {
"^[a-zA-Z0-9]+/[a-zA-Z0-9\\-\\+\\.]+$": {
"description": "mimetype output (e.g. text/plain), represented as either an array of strings or a string.",
"$ref": "#/definitions/misc/multiline_string"
}
}
},
"display_data": {
"description": "Data displayed as a result of code cell execution.",
"type": "object",
"additionalProperties": false,
"required": ["output_type"],
"properties": {
"output_type": {
"description": "Type of cell output.",
"enum": ["display_data"]
},
"text": {"$ref": "#/definitions/misc/multiline_string"},
"latex": {"$ref": "#/definitions/misc/multiline_string"},
"png": {"$ref": "#/definitions/misc/multiline_string"},
"jpeg": {"$ref": "#/definitions/misc/multiline_string"},
"svg": {"$ref": "#/definitions/misc/multiline_string"},
"html": {"$ref": "#/definitions/misc/multiline_string"},
"javascript": {"$ref": "#/definitions/misc/multiline_string"},
"json": {"$ref": "#/definitions/misc/multiline_string"},
"pdf": {"$ref": "#/definitions/misc/multiline_string"},
"metadata": {"$ref": "#/definitions/misc/output_metadata"}
},
"patternProperties": {
"[a-zA-Z0-9]+/[a-zA-Z0-9\\-\\+\\.]+$": {
"description": "mimetype output (e.g. text/plain), represented as either an array of strings or a string.",
"$ref": "#/definitions/misc/multiline_string"
}
}
},
"stream": {
"description": "Stream output from a code cell.",
"type": "object",
"additionalProperties": false,
"required": ["output_type", "stream", "text"],
"properties": {
"output_type": {
"description": "Type of cell output.",
"enum": ["stream"]
},
"stream": {
"description": "The stream type/destination.",
"type": "string"
},
"text": {
"description": "The stream's text output, represented as an array of strings.",
"$ref": "#/definitions/misc/multiline_string"
}
}
},
"pyerr": {
"description": "Output of an error that occurred during code cell execution.",
"type": "object",
"additionalProperties": false,
"required": ["output_type", "ename", "evalue", "traceback"],
"properties": {
"output_type": {
"description": "Type of cell output.",
"enum": ["pyerr"]
},
"ename": {
"description": "The name of the error.",
"type": "string"
},
"evalue": {
"description": "The value, or message, of the error.",
"type": "string"
},
"traceback": {
"description": "The error's traceback, represented as an array of strings.",
"type": "array",
"items": {"type": "string"}
}
}
},
"misc": {
"metadata_name": {
"description": "The cell's name. If present, must be a non-empty string.",
"type": "string",
"pattern": "^.+$"
},
"metadata_tags": {
"description": "The cell's tags. Tags must be unique, and must not contain commas.",
"type": "array",
"uniqueItems": true,
"items": {
"type": "string",
"pattern": "^[^,]+$"
}
},
"source": {
"description": "Contents of the cell, represented as an array of lines.",
"$ref": "#/definitions/misc/multiline_string"
},
"prompt_number": {
"description": "The code cell's prompt number. Will be null if the cell has not been run.",
"type": ["integer", "null"],
"minimum": 0
},
"mimetype": {
"patternProperties": {
"^[a-zA-Z0-9\\-\\+]+/[a-zA-Z0-9\\-\\+]+": {
"description": "The cell's mimetype output (e.g. text/plain), represented as either an array of strings or a string.",
"$ref": "#/definitions/misc/multiline_string"
}
}
},
"output_metadata": {
"description": "Cell output metadata.",
"type": "object",
"additionalProperties": true
},
"multiline_string": {
"oneOf" : [
{"type": "string"},
{
"type": "array",
"items": {"type": "string"}
}
]
}
}
}
}

View file

@ -0,0 +1,58 @@
"""Read and write notebooks in JSON format."""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import copy
import json
from .nbbase import from_dict
from .rwbase import (
NotebookReader, NotebookWriter, restore_bytes, rejoin_lines, split_lines,
strip_transient,
)
class BytesEncoder(json.JSONEncoder):
"""A JSON encoder that accepts b64 (and other *ascii*) bytestrings."""
def default(self, obj):
if isinstance(obj, bytes):
return obj.decode('ascii')
return json.JSONEncoder.default(self, obj)
class JSONReader(NotebookReader):
def reads(self, s, **kwargs):
nb = json.loads(s, **kwargs)
nb = self.to_notebook(nb, **kwargs)
nb = strip_transient(nb)
return nb
def to_notebook(self, d, **kwargs):
return rejoin_lines(from_dict(d))
class JSONWriter(NotebookWriter):
def writes(self, nb, **kwargs):
kwargs['cls'] = BytesEncoder
kwargs['indent'] = 1
kwargs['sort_keys'] = True
kwargs['separators'] = (',',': ')
nb = copy.deepcopy(nb)
nb = strip_transient(nb)
if kwargs.pop('split_lines', True):
nb = split_lines(nb)
return json.dumps(nb, **kwargs)
_reader = JSONReader()
_writer = JSONWriter()
reads = _reader.reads
read = _reader.read
to_notebook = _reader.to_notebook
write = _writer.write
writes = _writer.writes

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