"""An interface for publishing rich data to frontends. There are two components of the display system: * Display formatters, which take a Python object and compute the representation of the object in various formats (text, HTML, SVG, etc.). * The display publisher that is used to send the representation data to the various frontends. This module defines the logic display publishing. The display publisher uses the ``display_data`` message type that is defined in the IPython messaging spec. """ # Copyright (c) IPython Development Team. # Distributed under the terms of the Modified BSD License. import sys from traitlets.config.configurable import Configurable from traitlets import List # This used to be defined here - it is imported for backwards compatibility from .display_functions import publish_display_data from .history import HistoryOutput import typing as t # ----------------------------------------------------------------------------- # Main payload class # ----------------------------------------------------------------------------- _sentinel = object() class DisplayPublisher(Configurable): """A traited class that publishes display data to frontends. Instances of this class are created by the main IPython object and should be accessed there. """ def __init__(self, shell=None, *args, **kwargs): self.shell = shell self._is_publishing = False self._in_post_execute = False if self.shell: self._setup_execution_tracking() super().__init__(*args, **kwargs) def _validate_data(self, data, metadata=None): """Validate the display data. Parameters ---------- data : dict The formata data dictionary. metadata : dict Any metadata for the data. """ if not isinstance(data, dict): raise TypeError("data must be a dict, got: %r" % data) if metadata is not None: if not isinstance(metadata, dict): raise TypeError("metadata must be a dict, got: %r" % data) def _setup_execution_tracking(self): """Set up hooks to track execution state""" self.shell.events.register("post_execute", self._on_post_execute) self.shell.events.register("pre_execute", self._on_pre_execute) def _on_post_execute(self): """Called at start of post_execute phase""" self._in_post_execute = True def _on_pre_execute(self): """Called at start of pre_execute phase""" self._in_post_execute = False # use * to indicate transient, update are keyword-only def publish( self, data, metadata=None, source=_sentinel, *, transient=None, update=False, **kwargs, ) -> None: """Publish data and metadata to all frontends. See the ``display_data`` message in the messaging documentation for more details about this message type. The following MIME types are currently implemented: * text/plain * text/html * text/markdown * text/latex * application/json * application/javascript * image/png * image/jpeg * image/svg+xml Parameters ---------- data : dict A dictionary having keys that are valid MIME types (like 'text/plain' or 'image/svg+xml') and values that are the data for that MIME type. The data itself must be a JSON'able data structure. Minimally all data should have the 'text/plain' data, which can be displayed by all frontends. If more than the plain text is given, it is up to the frontend to decide which representation to use. metadata : dict A dictionary for metadata related to the data. This can contain arbitrary key, value pairs that frontends can use to interpret the data. Metadata specific to each mime-type can be specified in the metadata dict with the same mime-type keys as the data itself. source : str, deprecated Unused. transient : dict, keyword-only A dictionary for transient data. Data in this dictionary should not be persisted as part of saving this output. Examples include 'display_id'. update : bool, keyword-only, default: False If True, only update existing outputs with the same display_id, rather than creating a new output. """ if source is not _sentinel: import warnings warnings.warn( "The 'source' parameter is deprecated since IPython 3.0 and will be ignored " "(this warning is present since 9.0). `source` parameter will be removed in the future.", DeprecationWarning, stacklevel=2, ) handlers: t.Dict = {} if self.shell is not None: handlers = getattr(self.shell, "mime_renderers", {}) outputs = self.shell.history_manager.outputs target_execution_count = self.shell.execution_count if self._in_post_execute: # We're in post_execute, so this is likely a matplotlib flush # Use execution_count - 1 to associate with the cell that created the plot target_execution_count = self.shell.execution_count - 1 outputs[target_execution_count].append( HistoryOutput(output_type="display_data", bundle=data) ) for mime, handler in handlers.items(): if mime in data: handler(data[mime], metadata.get(mime, None)) return self._is_publishing = True if "text/plain" in data: print(data["text/plain"]) self._is_publishing = False @property def is_publishing(self): return self._is_publishing def clear_output(self, wait=False): """Clear the output of the cell receiving output.""" print("\033[2K\r", end="") sys.stdout.flush() print("\033[2K\r", end="") sys.stderr.flush() class CapturingDisplayPublisher(DisplayPublisher): """A DisplayPublisher that stores""" outputs: List = List() def publish( self, data, metadata=None, source=None, *, transient=None, update=False ): self.outputs.append( { "data": data, "metadata": metadata, "transient": transient, "update": update, } ) def clear_output(self, wait=False): super(CapturingDisplayPublisher, self).clear_output(wait) # empty the list, *do not* reassign a new list self.outputs.clear()