Rename utils.config to utils.base

IPython/nbconvert/filters/datatypefilter.py

@@ -1,33 +1,33 b''
 """Filter used to select the first preferred output format available.
 
 The filter contained in the file allows the converter templates to select
 the output format that is most valuable to the active export format.  The
 value of the different formats is set via 
 NbConvertBase.display_data_priority
 """
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Classes and functions
 #-----------------------------------------------------------------------------
 
-from ..utils.config import NbConvertBase
+from ..utils.base import NbConvertBase
 
 __all__ = ['DataTypeFilter']
 
 class DataTypeFilter(NbConvertBase):
     """ Returns the preferred display format """
 
     def __call__(self, output):
         """ Return the first available format in the priority """
 
         for fmt in self.display_data_priority:
             if fmt in output:
                 return [fmt]
         return []

IPython/nbconvert/nbconvertapp.py

@@ -1,197 +1,197 b''
 #!/usr/bin/env python
 """NBConvert is a utility for conversion of IPYNB files.
 
 Commandline interface for the NBConvert conversion utility.  Read the
 readme.rst for usage information
 """
 #-----------------------------------------------------------------------------
 #Copyright (c) 2013, the IPython Development Team.
 #
 #Distributed under the terms of the Modified BSD License.
 #
 #The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 #Imports
 #-----------------------------------------------------------------------------
 
 #Stdlib imports
 from __future__ import print_function
 import sys
 import os
 import glob
 
 #From IPython
 from IPython.core.application import BaseIPythonApplication
 from IPython.config.application import catch_config_error
 from IPython.utils.traitlets import Unicode, List, Instance, DottedObjectName, Type
 from IPython.utils.importstring import import_item
 
 from .exporters.export import export_by_name, get_export_names, ExporterNameError
 from .exporters.exporter import Exporter
 from .writers.base import WriterBase
-from .utils.config import NbConvertBase
+from .utils.base import NbConvertBase
 
 #-----------------------------------------------------------------------------
 #Classes and functions
 #-----------------------------------------------------------------------------
 
 class NbConvertApp(BaseIPythonApplication):
     """Application used to convert to and from notebook file type (*.ipynb)"""
 
     name = 'ipython-nbconvert'
 
     description = Unicode(
         u"""This application is used to convert notebook files (*.ipynb).
         An ipython config file can be used to batch convert notebooks in the 
         current directory.""")
 
     examples = Unicode(u"""
         Running `ipython nbconvert` will read the directory config file and then 
         apply it to one or more notebooks.
 
         Multiple notebooks can be given at the command line in a couple of 
         different ways:
   
         > ipython nbconvert notebook*.ipynb
         > ipython nbconvert notebook1.ipynb notebook2.ipynb
         > ipython nbconvert # this will use the config file to fill in the notebooks
         """)
     
     #Writer specific variables
     writer = Instance('IPython.nbconvert.writers.base.WriterBase',  
                       help="""Instance of the writer class used to write the 
                       results of the conversion.""")
     writer_class = DottedObjectName('FilesWriter', config=True, 
                                     help="""Writer class used to write the 
                                     results of the conversion""")
     writer_aliases = {'FilesWriter': 'IPython.nbconvert.writers.files.FilesWriter',
                       'DebugWriter': 'IPython.nbconvert.writers.debug.DebugWriter',
                       'StdoutWriter': 'IPython.nbconvert.writers.stdout.StdoutWriter'}
     writer_factory = Type()
 
     def _writer_class_changed(self, name, old, new):
         if new in self.writer_aliases:
             new = self.writer_aliases[new]
         self.writer_factory = import_item(new)
 
 
     #Other configurable variables
     export_format = Unicode(
         "", config=True,
         help="""If specified, nbconvert will convert the document(s) specified
                 using this format.""")
 
     notebooks = List([], config=True, help="""List of notebooks to convert.
                      Search patterns are supported.""")
 
     nbconvert_aliases = {'format':'NbConvertApp.export_format',
                'notebooks':'NbConvertApp.notebooks',
                'writer':'NbConvertApp.writer_class'} 
 
 
     @catch_config_error
     def initialize(self, argv=None):
         self.aliases.update(self.nbconvert_aliases)
 
         super(NbConvertApp, self).initialize(argv)
 
         #Register class here to have help with help all
         self.classes.insert(0, Exporter)
         self.classes.insert(0, WriterBase)
         self.classes.insert(0, NbConvertBase)
 
         #Init
         self.init_config(self.extra_args)
         self.init_writer()
 
 
     def init_config(self, extra_args):
         """
         Add notebooks to the config if needed.  Glob each notebook to replace
         notebook patterns with filenames.
         """
 
         #Get any additional notebook patterns from the commandline
         if len(extra_args) > 0:
             for pattern in extra_args:
                 self.notebooks.append(pattern)
 
         #Use glob to replace all the notebook patterns with filenames.
         filenames = []
         for pattern in self.notebooks:
             for filename in glob.glob(pattern):
                 if not filename in filenames:
                     filenames.append(filename)
         self.notebooks = filenames
 
 
     def init_writer(self):
         """
         Initialize the writer (which is stateless)
         """
         self._writer_class_changed(None, self.writer_class, self.writer_class)
         self.writer = self.writer_factory(parent=self)
 
 
     def start(self, argv=None):
         """
         Ran after initiialization completed
         """
         super(NbConvertApp, self).start()
         self.convert_notebooks()
 
 
     def convert_notebooks(self):
         """
         Convert the notebooks in the self.notebook traitlet
         """
         #Export each notebook
         conversion_success = 0
         for notebook_filename in self.notebooks:
 
             #Get a unique key for the notebook and set it in the resources object.
             basename = os.path.basename(notebook_filename)
             notebook_name = basename[:basename.rfind('.')]
             resources = {}
             resources['unique_key'] = notebook_name
 
             #Try to export
             try:
                 output, resources = export_by_name(self.export_format,
                                               notebook_filename, 
                                               resources=resources,
                                               config=self.config)
             except ExporterNameError as e:
                 print("Error: '%s' exporter not found." % self.export_format,
                       file=sys.stderr)
                 print("Known exporters are:",
                       "\n\t" + "\n\t".join(get_export_names()),
                       file=sys.stderr)
                 sys.exit(-1)
             #except Exception as e:
                 #print("Error: could not export '%s'" % notebook_filename, file=sys.stderr)
                 #print(e, file=sys.stderr)
             else:
                 self.writer.write(output, resources, notebook_name=notebook_name)
                 conversion_success += 1
 
         #If nothing was converted successfully, help the user.
         if conversion_success == 0:
 
             #No notebooks were specified, show help.
             if len(self.notebooks) == 0:
                 self.print_help()
 
             #Notebooks were specified, but not converted successfully.  Show how
             #to access help.
             else:
                 print('For help, use "ipython nbconvert --help"')
 
 
 #-----------------------------------------------------------------------------
 # Main entry point
 #-----------------------------------------------------------------------------
 
 launch_new_instance = NbConvertApp.launch_instance

IPython/nbconvert/transformers/base.py

@@ -1,109 +1,109 b''
 """
 Module that re-groups transformer that would be applied to ipynb files
 before going through the templating machinery.
 
 It exposes a convenient class to inherit from to access configurability.
 """
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
-from ..utils.config import NbConvertBase
+from ..utils.base import NbConvertBase
 from IPython.utils.traitlets import Bool
 
 #-----------------------------------------------------------------------------
 # Classes and Functions
 #-----------------------------------------------------------------------------
 
 class ConfigurableTransformer(NbConvertBase):
     """ A configurable transformer
 
     Inherit from this class if you wish to have configurability for your
     transformer.
 
     Any configurable traitlets this class exposed will be configurable in profiles
     using c.SubClassName.atribute=value
 
     you can overwrite transform_cell to apply a transformation independently on each cell
     or __call__ if you prefer your own logic. See corresponding docstring for informations.
 
     Disabled by default and can be enabled via the config by
         'c.YourTransformerName.enabled = True'
     """
     
     enabled = Bool(False, config=True)
 
     def __init__(self, **kw):
         """
         Public constructor
         
         Parameters
         ----------
         config : Config
             Configuration file structure
         **kw : misc
             Additional arguments
         """
         
         super(ConfigurableTransformer, self).__init__(**kw)
 
        
     def __call__(self, nb, resources):
         if self.enabled:
             return self.call(nb,resources)
         else:
             return nb, resources
 
 
     def call(self, nb, resources):
         """
         Transformation to apply on each notebook.
         
         You should return modified nb, resources.
         If you wish to apply your transform on each cell, you might want to 
         overwrite transform_cell method instead.
         
         Parameters
         ----------
         nb : NotebookNode
             Notebook being converted
         resources : dictionary
             Additional resources used in the conversion process.  Allows
             transformers to pass variables into the Jinja engine.
         """
         try :
             for worksheet in nb.worksheets :
                 for index, cell in enumerate(worksheet.cells):
                     worksheet.cells[index], resources = self.transform_cell(cell, resources, index)
             return nb, resources
         except NotImplementedError:
             raise NotImplementedError('should be implemented by subclass')
 
 
     def transform_cell(self, cell, resources, index):
         """
         Overwrite if you want to apply a transformation on each cell.  You 
         should return modified cell and resource dictionary.
         
         Parameters
         ----------
         cell : NotebookNode cell
             Notebook cell being processed
         resources : dictionary
             Additional resources used in the conversion process.  Allows
             transformers to pass variables into the Jinja engine.
         index : int
             Index of the cell being processed
         """
 
         raise NotImplementedError('should be implemented by subclass')
         return cell, resources
 

IPython/nbconvert/writers/base.py

@@ -1,57 +1,57 b''
 #!/usr/bin/env python
 """
 Contains writer base class.
 """
 #-----------------------------------------------------------------------------
 #Copyright (c) 2013, the IPython Development Team.
 #
 #Distributed under the terms of the Modified BSD License.
 #
 #The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 from IPython.utils.traitlets import List
 
-from ..utils.config import NbConvertBase
+from ..utils.base import NbConvertBase
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class WriterBase(NbConvertBase):
     """Consumes output from nbconvert export...() methods and writes to a
     useful location. """
 
 
     files = List([], config=True, help="""
         List of the files that the notebook references.  Files will be 
         included with written output.""")
 
 
     def __init__(self, config=None, **kw):
         """
         Constructor
         """
         super(WriterBase, self).__init__(config=config, **kw)
 
 
     def write(self, output, resources, **kw):
         """
         Consume and write Jinja output.
 
         Parameters
         ----------
         output : string
             Conversion results.  This string contains the file contents of the
             converted file.
         resources : dict
             Resources created and filled by the nbconvert conversion process.
             Includes output from transformers, such as the extract figure 
             transformer.
         """
 
         raise NotImplementedError()