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Backport PR #2384: Adapt inline backend to changes in matplotlib...
Backport PR #2384: Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master

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mongodb.py
117 lines | 4.1 KiB | text/x-python | PythonLexer
"""A TaskRecord backend using mongodb
Authors:
* Min RK
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010-2011 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.
#-----------------------------------------------------------------------------
from pymongo import Connection
from bson import Binary
from IPython.utils.traitlets import Dict, List, Unicode, Instance
from .dictdb import BaseDB
#-----------------------------------------------------------------------------
# MongoDB class
#-----------------------------------------------------------------------------
class MongoDB(BaseDB):
"""MongoDB TaskRecord backend."""
connection_args = List(config=True,
help="""Positional arguments to be passed to pymongo.Connection. Only
necessary if the default mongodb configuration does not point to your
mongod instance.""")
connection_kwargs = Dict(config=True,
help="""Keyword arguments to be passed to pymongo.Connection. Only
necessary if the default mongodb configuration does not point to your
mongod instance."""
)
database = Unicode(config=True,
help="""The MongoDB database name to use for storing tasks for this session. If unspecified,
a new database will be created with the Hub's IDENT. Specifying the database will result
in tasks from previous sessions being available via Clients' db_query and
get_result methods.""")
_connection = Instance(Connection) # pymongo connection
def __init__(self, **kwargs):
super(MongoDB, self).__init__(**kwargs)
if self._connection is None:
self._connection = Connection(*self.connection_args, **self.connection_kwargs)
if not self.database:
self.database = self.session
self._db = self._connection[self.database]
self._records = self._db['task_records']
self._records.ensure_index('msg_id', unique=True)
self._records.ensure_index('submitted') # for sorting history
# for rec in self._records.find
def _binary_buffers(self, rec):
for key in ('buffers', 'result_buffers'):
if rec.get(key, None):
rec[key] = map(Binary, rec[key])
return rec
def add_record(self, msg_id, rec):
"""Add a new Task Record, by msg_id."""
# print rec
rec = self._binary_buffers(rec)
self._records.insert(rec)
def get_record(self, msg_id):
"""Get a specific Task Record, by msg_id."""
r = self._records.find_one({'msg_id': msg_id})
if not r:
# r will be '' if nothing is found
raise KeyError(msg_id)
return r
def update_record(self, msg_id, rec):
"""Update the data in an existing record."""
rec = self._binary_buffers(rec)
self._records.update({'msg_id':msg_id}, {'$set': rec})
def drop_matching_records(self, check):
"""Remove a record from the DB."""
self._records.remove(check)
def drop_record(self, msg_id):
"""Remove a record from the DB."""
self._records.remove({'msg_id':msg_id})
def find_records(self, check, keys=None):
"""Find records matching a query dict, optionally extracting subset of keys.
Returns list of matching records.
Parameters
----------
check: dict
mongodb-style query argument
keys: list of strs [optional]
if specified, the subset of keys to extract. msg_id will *always* be
included.
"""
if keys and 'msg_id' not in keys:
keys.append('msg_id')
matches = list(self._records.find(check,keys))
for rec in matches:
rec.pop('_id')
return matches
def get_history(self):
"""get all msg_ids, ordered by time submitted."""
cursor = self._records.find({},{'msg_id':1}).sort('submitted')
return [ rec['msg_id'] for rec in cursor ]