From f0718d6d58bd420fecc4f1b07712893e462d61ac Mon Sep 17 00:00:00 2001 From: superstar54 Date: Fri, 3 Nov 2023 15:33:46 +0000 Subject: [PATCH] replace hello_world by eos --- docs/source/_static/images/plugin_outline.png | Bin 98453 -> 101258 bytes docs/source/_static/images/plugin_result.png | Bin 9979 -> 56476 bytes docs/source/_static/images/plugin_setting.png | Bin 7172 -> 26410 bytes docs/source/development/plugin.rst | 283 +++++++++++++----- 4 files changed, 205 insertions(+), 78 deletions(-) diff --git a/docs/source/_static/images/plugin_outline.png b/docs/source/_static/images/plugin_outline.png index eebe430f6a75c76685fc228adb6f7b7ae06da132..559e53b9070aaf112334c58d88580c9a5819e329 100644 GIT binary patch literal 101258 zcmdRWbx@nn*DnPMv{-S6wpej@D^T28DDLhST!Tw-cPPbL+}$ZwAUMI@EohJsxb*wI z@B8=f&b)W#-kr=OPqMquK4*{YIp=c{`B_;8^EK&f1Ox<3IoVID2na|H2ndKPXeiI$ zeD!2UdwxT9k&yd}_S}5Y%p#tzNnEA0T-6*cTs@2d<_MM!j`rp(E~Wr;a|ahIM^^|^ 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    Settings

    """ + ) + self.settings_help = ipw.HTML( + """
    + Please set the value of scale and number of points. +
    """ + ) + self.scale = ipw.FloatText( + value=0.05, + description="Scale:", + disabled=False, + style={"description_width": "initial"}, + ) + self.npoint = ipw.IntText( + value=5, + description="Npoint:", + disabled=False, + style={"description_width": "initial"}, + ) + + self.children=[ + self.settings_title, + self.settings_help, + self.scale, + self.npoint, + ] super().__init__(**kwargs) def get_panel_value(self): - """Get the panel value""" - return {"name": Str(self.name.value)} + """Return a dictionary with the input parameters for the plugin.""" + return { + "scale": self.scale.value, + "npoint": self.npoint.value, + } def set_panel_value(self, input_dict): - """Set the panel value""" - self.name.value = input_dict.get("name", 1) + """Set a dictionary with the input parameters for the plugin.""" + self.scale.value = input_dict.get("scale", 0.05) + self.npoint.value = input_dict.get("npoint", 5) def reset(self): - """Reset the panel""" - self.name.value = "" + """Reset the input fields.""" + self.scale.value = 0.05 + self.npoint.value = 5 Result ----------------------- -A :class:`~aiidalab_qe.common.panel.ResultPanel` will register a new panel in the results step. The ``Hello world`` panel is shown below: +A :class:`~aiidalab_qe.common.panel.ResultPanel` widget will register a new panel in the results step. +The ``EOS`` panel is shown below: .. image:: ../_static/images/plugin_result.png -In this class, you need to: +In this widget, you need to: - specify the `workchain_labels` to tell the app which workchains the panel is intended for. - implement the ``_update_view`` method to tell the app how to show the results of the workchain. -The output of the workchain will be stored in ``self.outputs.hello_world``. -For example, the ``name`` and ``structure`` are the outputs of the ``HelloWorldWorkChain``. +The output of the workchain will be stored in ``self.outputs.plugin_name``. +For example, you can access the ``output_parameters`` output of the ``EOSWorkChain`` by ``self.outputs.eos.output_parameters``. .. code-block:: python from aiidalab_qe.common.panel import ResultPanel + import ipywidgets as ipw + class Result(ResultPanel): - title = "Hello world" - workchain_labels = ["hello_world"] + title = "EOS" + workchain_labels = ["eos"] + + def __init__(self, node=None, **kwargs): + super().__init__(node=node, identifier="eos", **kwargs) def _update_view(self): - name = self.outputs.hello_world.name.value - formula = self.outputs.hello_world.structure.get_formula() + import plotly.graph_objects as go + from ase.eos import EquationOfState + # init figure + g = go.FigureWidget( + layout=go.Layout( + title=dict(text="Equation of State"), + barmode="overlay", + ) + ) + g.layout.xaxis.title = "Volume (A^3)" + g.layout.yaxis.title = "Energy (eV)" + # get the output parameters + eos = self.outputs.eos.output_parameters.get_dict() + volumes = eos["volumes"] + energies = eos["energies"] + eos = EquationOfState(volumes, energies, eos="birchmurnaghan") + v0, e0, B = eos.fit() + plotdata = eos.getplotdata() + g.add_scatter(x=volumes, y=energies, mode="markers", marker=dict(size=10), name="DFT") + g.add_scatter(x=plotdata[4], y=plotdata[5], mode="lines", name="Birch-Murnaghan") + # self.summary_view = ipw.HTML( - f"""

    Hello {name}

    The input structure is: {formula}
    """.format() + """
    +

    Parameters

    + + + + + + + + + + + + + +
    V0{:1.3f}
    E0{:1.3f}
    B{:1.3f}
    +
    """.format(v0, e0, B) ) - self.children = [ipw.HBox(children=[self.summary_view])] - + self.children = [ + ipw.HBox( + children=[self.summary_view, g], + layout=ipw.Layout(justify_content="space-between", margin="10px"), + ), + ] WorkChain and Builder ----------------------- -you need to implement a ``get_builder`` function to tell QuantumESPRESSO app how to use the input parameters from the GUI. +You need to implement a ``get_builder`` function to tell QuantumESPRESSO app how to use the input parameters from the GUI. The `parameters` passed to the `get_builder` function has the following structure: @@ -130,76 +214,85 @@ The `parameters` passed to the `get_builder` function has the following structur }, "bands": {"kpath_2d": "hexagonal"}, "pdos": {...}, - "hello_world": {...}, + "eos": {...}, "plugin_1": {...}, } -you need to decide which parameters are needed for the workchain, and how to use them. -For example, the ``HelloWorldWorkChain`` needs the ``name`` parameter, which is defined in the ``Setting`` panel. -The ``get_builder`` function will return a ``builder`` for the ``HelloWorldWorkChain``. -The ``builder`` will be used to submit the workchain. - - +You need to decide which parameters are needed for the workchain, and how to use them. +For example, the ``EOSWorkChain`` needs the ``pw`` code and the ``advanced`` setting for the ``pw`` code. +It also needs the ``parameters`` which are defined in the ``EOS Setting`` panel. +The ``get_builder`` function will return a ``builder`` for the ``EOSWorkChain``, which will be attached to the main builder of the ``QeAppWorkchain``. .. code-block:: python - def get_builder(codes, structure, parameters): - """Get the workchain specific parameters - """ - parameters = parameters.get("hello_world", {}) - builder = HelloWorldWorkChain.get_builder_from_protocol( - codes=codes, - structure=structure, - parameters=parameters, - ) + def get_builder(codes, structure, parameters, **kwargs): + protocol = parameters["workchain"].pop('protocol', "fast") + pw_code = codes.get("pw") + overrides = { + "pw": parameters["advanced"], + } + builder = EOSWorkChain.get_builder_from_protocol( + pw_code=pw_code, + structure=structure, + protocol=protocol, + electronic_type=ElectronicType(parameters["workchain"] ["electronic_type"]), + spin_type=SpinType(parameters["workchain"]["spin_type"]), + initial_magnetic_moments=parameters["advanced"] ["initial_magnetic_moments"], + parameters=parameters["eos"], + overrides=overrides, + **kwargs, + ) return builder -Then register the workchain and builder in the `workchain_and_builder` dict, so that the QuantumESPRESSO app can load them. +Then add the workchain and builder into the `workchain_and_builder` dict, so that the QuantumESPRESSO app can load them. .. code-block:: python # register the workchain and builder workchain_and_builder = { - "workchain": HelloWorldWorkChain, + "workchain": EOSWorkChain, "get_builder": get_builder, } Entry point ----------------------- -Finally, you need to register the entry point of the plugin. Here is the entry point for this plugin. +Finally, you need to register the entry point of the plugin. +Here is the entry point for this plugin. .. code-block:: python # this is the entry point of the plugin - hello_world ={ - "outline": Outline, - "setting": Setting, - "workchain": workchain_and_builder, - "result": Result, + eos ={ + "outline": EosOutline, + "setting": Setting, + "workchain": workchain_and_builder, + "result": Result, } + Install the plugin ----------------------- To install the plugin, you can creating a new package or adding it to the `aiidalab_qe.plugins` folder. -you need to add the path of ``hello_world`` to ``entry_points`` inside the setup file. +You need to add the path of ``eos`` to ``entry_points`` inside the setup file. .. code-block:: python entry_points={ "aiidalab_qe.properties": [ - "hello_world = aiidalab_qe_hello_world:hello_world", + "eos = aiidalab_qe_plugin_demos.eos:eos", ], }, -**Bringing It All Together**, You can find all the code above in this github repository: https://github.com/superstar54/aiidalab-qe-hello-world +**Bringing It All Together**, you can find all the code above in the `aiidalab-qe-plugin-demos`_ repository. + Advanced usage ================================ A plugin does not need to register all the items (settings, workchain, results). -The panel in each step is pluggable, which means you could only register you item in a plugin. -For example, you can only add a new `Result` panel without doing any property calculation. -The built-in `electronic_structure` plugin only has a result panel, which needs the result from both `pdos`` and `bands`` plugins. -This is set by the `workchain_labels` attribute. +The panel in each step is pluggable, which means you could only register one item in a plugin. +For example, the built-in `electronic_structure` plugin only has a result panel without doing any property calculation. +The pupose of the `electronic_structure` plugin is to show the results of the `bands`` and `pdos`` plugins together. +In order to do this, it set add both ``pdos`` and ``bands`` to the ``workchain_labels``. .. code-block:: python @@ -207,7 +300,7 @@ This is set by the `workchain_labels` attribute. title = "Electronic Structure" workchain_labels = ["bands", "pdos"] -Here is the entry point for this plugin. +Here is the entry point for the `electronic_structure` plugin. .. code-block:: python @@ -219,26 +312,60 @@ Here is the entry point for this plugin. Structure importer and editor ------------------------------ -The plugin API also allows the user to add a new structure importer and editor: +The app also allows the user to add new panels in the structure selection step: + +- structure ``importer``: specific for particular structures, e.g. surface, adsorbate. +- structure ``editor``: to edit a structure for the plugin, e.g. edit tags, and cut surface. + +You can find an example plugin, ``surface``, in the `aiidalab-qe-plugin-demos`_ repository. +It adds a new structure importer and editor to generate the surface structure. +Here is the entry point for the `surface` plugin. + +.. code-block:: python + + from .importer import SurfaceImporter + from .editor import SurfaceEditor -- add structure `importer` specific for particular structures, e.g. surface, adsorbate. -- add a new `editor` to edit a structure for the plugin, e.g. edit tags, and cut surface. -Here is the example for such plugin. + surface ={ + "importer": SurfaceImporter, + "editor": SurfaceEditor, + } + +Computational Resources +------------------------------ +You can also add new code in the plugin. +Here is the example of the built-in `pdos` plugins with codes `dos.x` and `projwfc.x`: .. code-block:: python - from .structure_importer import StructureImporter - from .structure_editor import StructureEditor + from aiidalab_widgets_base import ComputationalResourcesWidget + + dos_code = ComputationalResourcesWidget( + description="dos.x", + default_calc_job_plugin="quantumespresso.dos", + ) + + projwfc_code = ComputationalResourcesWidget( + description="projwfc.x", + default_calc_job_plugin="quantumespresso.projwfc", + ) - my_plugin ={ - "importer": StructureImporter, - "editor": StructureEditor, + pdos = { + "outline": PdosOutline, + "code": {"dos": dos_code, "projwfc": projwfc_code}, + "setting": Setting, + "result": Result, + "workchain": workchain_and_builder, } +For the moment, the app does not support set up the newly added codes automatically. +Thus, the user needs to set up the codes manually. Further Reading ================================ -QuantumESPRESSO app comes with built-in plugins, which can be found in the ``aiidalab_qe.plugins`` folder. +QuantumESPRESSO app comes with several built-in plugins, which can be found in the ``aiidalab_qe.plugins`` folder. You can also use them as a start point to create your own plugins. + +.. _aiidalab-qe-plugin-demos: https://github.com/aiidalab/aiidalab-qe-plugin-demos