From c6502e4718904670111762facf2f67bb80e4ca8b Mon Sep 17 00:00:00 2001 From: Jake Fennick Date: Thu, 11 Apr 2024 10:01:30 -1000 Subject: [PATCH] move molecular modeling viewer --- README.md | 12 -- docs/dev/api.rst | 8 -- docs/installguide.md | 12 -- docs/requirements.txt | 1 - docs/tree_viewer.png | Bin 1161087 -> 0 bytes docs/tutorials/multistep.md | 6 - docs/tutorials/protein.png | Bin 657101 -> 0 bytes install/install_nglview.sh | 24 ---- pyproject.toml | 6 - src/vis/__init__.py | 0 src/vis/filewatcher.py | 42 ------- src/vis/viewer.ipynb | 55 --------- src/vis/viewer.py | 240 ------------------------------------ 13 files changed, 406 deletions(-) delete mode 100644 docs/tree_viewer.png delete mode 100644 docs/tutorials/protein.png delete mode 100755 install/install_nglview.sh delete mode 100644 src/vis/__init__.py delete mode 100644 src/vis/filewatcher.py delete mode 100644 src/vis/viewer.ipynb delete mode 100644 src/vis/viewer.py diff --git a/README.md b/README.md index 6c419c9b..15493ba6 100644 --- a/README.md +++ b/README.md @@ -75,18 +75,6 @@ timeseriesplots ![Plots](examples/gromacs/plots.png) -You can also view the 3D structures in the Jupyter notebook `src/vis/viewer.ipynb`. The visualization currently needs to be in its own conda environment. - -``` -install/install_conda.sh -conda create --name vis -conda activate vis -install/install_nglview.sh -pip install -e ".[all]" -``` - -![Plots](docs/tree_viewer.png) - The Workflow Inference Compiler is a [Domain Specific Language](https://en.wikipedia.org/wiki/Domain-specific_language) (DSL) based on the [Common Workflow Language](https://www.commonwl.org). CWL is fantastic, but explicitly constructing the Directed Acyclic Graph (DAG) associated with a non-trivial workflow is not so simple. For example, the workflow shown above is based on the following [gromacs tutorial](https://mmb.irbbarcelona.org/biobb/availability/tutorials/cwl). Instead of writing raw CWL, you can write your workflows in a much simpler yml DSL. For technical reasons edge inference is far from unique, so ***`users should always check that edge inference actually produces the intended DAG`***. ## Edge Inference diff --git a/docs/dev/api.rst b/docs/dev/api.rst index 5f5dc02c..7096077b 100644 --- a/docs/dev/api.rst +++ b/docs/dev/api.rst @@ -1,14 +1,6 @@ Developer API ==================================== -vis.filewatcher ------------------------------------- -.. automodule:: vis.filewatcher - -vis.viewer ------------------------------------- -.. automodule:: vis.viewer - wic.ast ------------------------------------ .. automodule:: wic.ast diff --git a/docs/installguide.md b/docs/installguide.md index 4de6a78c..a6a88020 100644 --- a/docs/installguide.md +++ b/docs/installguide.md @@ -89,18 +89,6 @@ pre-commit install You should now have the `wic` executable available in your terminal. -## Jupyter notebook visualization - -The visualization currently needs to be in its own conda environment. - -``` -./install_conda.sh -conda create --name vis -conda activate vis -./install_nglview.sh -pip install -e ".[all]" -``` - ## CUDA Some of the workflows require an Nvidia CUDA GPU. Please see the Nvidia [installation guides](https://docs.nvidia.com/cuda/#installation-guides) for more information. diff --git a/docs/requirements.txt b/docs/requirements.txt index 0af13509..6e10e649 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,4 +1,3 @@ -ipytree myst-parser # https://docs.readthedocs.io/en/stable/intro/getting-started-with-sphinx.html # "We strongly recommend to pin the Sphinx version used for your project to build the docs to avoid potential future incompatibilities." diff --git a/docs/tree_viewer.png b/docs/tree_viewer.png deleted file mode 100644 index 0e238c6f7362fcdd1d267ad9f626e6ba209e4872..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1161087 zcmbSz1ymf(wl(ffut0Ek2|l>Hy9W#II=BC93Z6@+etr{>NQREei%A7grk%E&m5(r9&x>s%*-xv||g-_Y$`TZ#H~IS72zka6~6+*-I^K<-ax$=OuzF3sSXxHWL_ znXz! zC~;W42VJu^YHDp8ljLlX_a^pk-x6_)`yWv`xBK4Q_vrf=`aC(a>PCw8%M(sx?<6FU zWTBd1y{XI;ywxO^kJ32oARvGnWE|XjBDY7qOWWL>yOHf`i|7~_ 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@@ -30,7 +29,6 @@ dependencies = [ "requests", "mergedeep", "networkx", - "beautifulsoup4", # Solely for parsing gromacs mdp options html "cwl-utils>=0.32", # CommandInputParameter attr changed from `type_` to `type` and back to `type_` # between versions 0.30, 0.31, 0.32 @@ -109,7 +107,6 @@ doc = [ "sphinx", "myst-parser", "sphinx-autodoc-typehints", - "ipytree", ] plots = ["matplotlib"] cyto = ["ipycytoscape"] # only for DAG visualization @@ -211,10 +208,7 @@ module = [ "graphviz.*", "mergedeep.*", "networkx.*", - "mdtraj.*", - "nglview.*", "matplotlib.*", - "ipytree.*", "ipywidgets.*", "scipy.*", "ruamel.*", diff --git a/src/vis/__init__.py b/src/vis/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/vis/filewatcher.py b/src/vis/filewatcher.py deleted file mode 100644 index b481f354..00000000 --- a/src/vis/filewatcher.py +++ /dev/null @@ -1,42 +0,0 @@ -import glob -import os -from pathlib import Path -from typing import Dict, List - - -# NOTE: You should be very careful when using file watchers! Most libraries -# (watchdog, watchfiles, etc) will use operating system / platform-specific -# APIs to check for changes (for performance reasons). However, this can cause -# problems in some cases, specifically for network drives. -# See https://stackoverflow.com/questions/45441623/using-watchdog-of-python-to-monitoring-afp-shared-folder-from-linux -# I'm 99% sure the same problem happens with Docker containers. Either way, the -# solution is to use polling. However, for unknown reasons, simply replacing -# Observer with PollingObserver doesn't seem to work! So we are forced to write -# our own basic file watcher using glob. - - -def file_watcher_glob(cachedir_path: Path, patterns: List[str], prev_files: Dict[str, float]) -> Dict[str, float]: - """Determines whether files (specified by the given glob patterns) have been either recently created or modified.\n - Note that this is a workaround due to an issue with using standard file-watching libraries. - - Args: - cachedir_path (Path): The --cachedir directory of the main workflow. - patterns (List[str]): The glob patterns which specifies the files to be watched. - prev_files (Dict[str, float]): This should be the return value from the previous function call. - - Returns: - Dict[str, float]: A dictionary containing the filepaths and last modification times. - """ - changed_files = {} - file_patterns = [str(cachedir_path / f'**/{pattern}') for pattern in patterns] - file_paths_all = [glob.glob(fp, recursive=True) for fp in file_patterns] - file_paths_flat = [path for fps in file_paths_all for path in fps] - for file in file_paths_flat: - mtime = os.path.getmtime(file) - if file not in prev_files: - # created - changed_files[file] = mtime - elif mtime > prev_files[file]: - # modified - changed_files[file] = mtime - return changed_files diff --git a/src/vis/viewer.ipynb b/src/vis/viewer.ipynb deleted file mode 100644 index fa1b2914..00000000 --- a/src/vis/viewer.ipynb +++ /dev/null @@ -1,55 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from vis import viewer\n", - "# Once the workflow has finished executing, you can view the output files.\n", - "viewer.tree_viewer()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from vis import viewer\n", - "# Alternatively, you can view the files in realtime while the workflow is executing.\n", - "# This runs for about 10 mins before printing 'done'.\n", - "# You can always re-run the cell and/or increase num_iterations.\n", - "num_iterations = 60 * 10\n", - "viewer.realtime_viewer(num_iterations)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.6", - "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": "3.10.6" - }, - "vscode": { - "interpreter": { - "hash": "612ab4556636a7986aff5653e5d5ed5cb1e0c640daa830f0dae50b030d37dcd4" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/src/vis/viewer.py b/src/vis/viewer.py deleted file mode 100644 index 09edd6cd..00000000 --- a/src/vis/viewer.py +++ /dev/null @@ -1,240 +0,0 @@ -import json -from pathlib import Path -import time -import threading -from typing import Dict, List - -# NOTE: The sphinx documentation automodule feature needs to load all of the -# modules, but we do not want to require installing molecular modeling dependencies -# so we can simply catch these errors for now. -try: - from IPython.display import display - import mdtraj - import nglview as nv -except: - pass - -from ipytree import Tree, Node -from ipywidgets import HBox - -from wic import utils -from . import filewatcher - - -def make_ipytree_nodes(prov_tree: Dict, rootdir: str) -> List[Node]: - """Recursively applies the ipytree Node constructor to each element of the provenance output files tree. - - Args: - prov_tree (Dict): This should be the output of utils.provenance_list_to_tree(files) - rootdir (str): The directory in which to search for outdir/ - - Returns: - List[Node]: A list of Nodes (where each Node contains children Nodes, etc) - """ - nodes = [] - for key, val in prov_tree.items(): - if isinstance(val, Dict): - children = make_ipytree_nodes(val, rootdir) - if isinstance(val, List): - children = [] - dests = set() - for (location, namespaced_output_name, basename) in val: - yaml_stem_init, shortened = utils.shorten_namespaced_output_name(namespaced_output_name) - parentdirs = yaml_stem_init + '/' + shortened.replace('___', '/') - dest = rootdir + 'outdir/' + parentdirs + '/' + basename - idx = 2 - while dest in dests: - stem = Path(basename).stem - suffix = Path(basename).suffix - basename_ = stem + f'_{idx}' + suffix - dest = rootdir + 'outdir/' + parentdirs + '/' + basename_ - idx += 1 - if idx > 2: # If the while loop ran at least once - basename = basename_ - dests.add(dest) - child = Node(basename) - # NOTE: We need to store a unique id in each node so we can - # take the appropriate action when the user clicks. Storing - # the id in the name attribute would make the UI look terrible. - # However, this is python, so we can just pretend an id - # attribute exists and use it anyway. Is this unsafe? Probably! - child.id = parentdirs - children.append(child) - # NOTE: See utils.shorten_namespaced_output_name() - if len(key.split('__')) == 4: # i.e. if key is a namespace, not an output_name - (_, i, step_key) = utils.parse_step_name_str(key) - key = f'step {i+1} {step_key}' - node = Node(key, children) - node.id = '' # See above comment. - node.opened = False - nodes.append(node) - return nodes - - -def tree_viewer(rootdir: str = '../../') -> HBox: - """Creates a file browser that will display molecular files. - - Args: - rootdir (str, optional): The directory in which to search for\n - provenance/workflow/primary-output.json'. Defaults to '../../'. - - Returns: - HBox: An ipywidget which contains ipytree on the left and nglview on the right. - """ - nglwidget = nv.NGLWidget() - nglwidget._set_size('100%', '800px') # pylint: disable=protected-access - - output_json_file = Path(rootdir + 'provenance/workflow/primary-output.json') - if not output_json_file.exists(): - print(f'Error! {output_json_file.absolute()} does not exist!') - print('Did your workflow finish executing?') - return HBox() - - with open(output_json_file, mode='r', encoding='utf-8') as f: - output_json = json.loads(f.read()) - - files = utils.parse_provenance_output_files(output_json) - prov_tree = utils.provenance_list_to_tree(files) - # import yaml - # print(yaml.dump(prov_tree)) - children = make_ipytree_nodes(prov_tree, rootdir) - - rootnode = Node("Workflow", children) - tree = Tree(nodes=[rootnode], multiple_selection=False) - components: List = [] - - def clear_components() -> None: - for component in components: - nglwidget.remove_component(component) - components.clear() - - def on_selected_change(change: Dict) -> None: - # print('change[new]', change['new']) - parentdirs = change['new'][0].id - basename = change['new'][0].name - # print('parentdirs:', parentdirs) - if parentdirs != '': - filepath = rootdir + 'outdir/' + parentdirs + '/' + basename - # print(filepath) - if Path(filepath).exists(): - mdtraj_exts = [".pdb", ".pdb.gz", ".h5", ".lh5", ".prmtop", ".parm7", ".prm7", - ".psf", ".mol2", ".hoomdxml", ".gro", ".arc", ".hdf5", ".gsd"] - # NOTE: mdtraj does not support .sdf and .pdbqt - ngl_exts = [".mmcif", ".cif", ".mcif", ".pdb", ".pdbqt", ".ent", - ".pqr", ".gro", ".sdf", ".sd", ".mol2", ".mmtf"] - if Path(filepath).suffix in mdtraj_exts: - clear_components() - traj = mdtraj.load(filepath) - component = nglwidget.add_trajectory(traj) - components.append(component) - elif Path(filepath).suffix in ngl_exts: - clear_components() - component = nglwidget.add_component(filepath) - components.append(component) - - tree.observe(on_selected_change, names='selected_nodes') - return HBox([tree, nglwidget]) - - -def realtime_viewer(num_iterations: int, cachedir_path: str = '../../cachedir', - file_patterns: List[str] = ['*.trr', '*.pdb']) -> None: - """This function watches cachedir_path for file_patterns and updates an NGLWidget, upto num_iterations times. - - Args: - num_iterations (int): The number of iterations, to guarantee termination. - cachedir_path (str, optional): The cwltool --cachedir directory. Defaults to 'cachedir'. - file_patterns (List[str], optional): The coordinate and topology file patterns. Defaults to ['*.trr', '*.pdb']. - """ - # Just like matplotlib, you can't run a calculation in the GUI event loop thread - # or else the GUI will not redraw. However, once the realtime_viewer() thread finishes - # there is no easy way to interrupt another thread (i.e. no Ctrl-C), so simply - # use a fixed number of iterations. - thread = threading.Thread(target=realtime_viewer_body, args=(num_iterations, cachedir_path, file_patterns)) - thread.start() - - -def realtime_viewer_body(num_iterations: int, cachedir_path: str, file_patterns: List[str]) -> None: - """This function watches cachedir_path for file_patterns and updates an NGLWidget, upto num_iterations times. - - Args: - num_iterations (int): The number of iterations, to guarantee termination. - cachedir_path (str, optional): The cwltool --cachedir directory. - file_patterns (List[str], optional): The coordinate and topology file patterns. - """ - - prev_files: Dict[str, float] = {} - coords_file = '' - top_file = '' - nglwidget = nv.NGLWidget() - nglwidget._set_size('100%', '800px') # pylint: disable=protected-access - display(nglwidget) - for t in range(num_iterations): - try: - time.sleep(1.0) # Wait at least 1 second so we don't just spin. - # Use our own polling file watcher, see comments in filewatcher.py - changed_files = filewatcher.file_watcher_glob(Path(cachedir_path), file_patterns, prev_files) - changed_files_list = list(changed_files.items()) - changed_files_list.sort(key=lambda x: x[1]) - if len(changed_files_list) == 0: - continue - for file, time_ in changed_files_list: - # print(file) - if Path(file).suffix == '.trr': - coords_file = file - if Path(file).suffix == '.pdb': - top_file = file - prev_files = {**prev_files, **changed_files} - - # print('coords_file', coords_file) - # print('top_file', top_file) - if top_file != '': - traj: mdtraj.Trajectory - if coords_file != '': - traj = mdtraj.load(coords_file, top=top_file) - else: - traj = mdtraj.load(top_file) # pdb files implicitly contain topology info - # print(traj) - # num_frames = 10 - # traj = traj[-num_frames:] # Slice the most recent num_frames - traj = traj[-1] # Use -1 for most recent frame only - - if nglwidget.n_components == 0: # First time - component = nglwidget.add_trajectory(traj) - else: - if nglwidget.max_frame + 1 != traj.n_frames: # max_frame starts from 0 - # Removing and adding a new trajectory allows increasing - # the number of frames. However, this causes the UI to 'blink' - nglwidget.remove_component(component) - component = nglwidget.add_trajectory(traj) - else: - # If the number of frames stays the same - # (i.e. we're just using the last frame or last n frames) - # then we can update the coordinates and avoid the blinking. - trajtraj = nv.adaptor.MDTrajTrajectory(traj) - for i in range(traj.n_frames): - nglwidget.set_coordinates({i: trajtraj.get_coordinates(i)}) - except (IndexError, RuntimeError, OSError, AssertionError, ValueError) as e: - # TODO: Figure out what is causing these exceptions and determine if anything needs fixed. - # Some/most of these errors are likely due to race conditions writing/reading to/from disk. - runtimeerror = 'TRR read error: Float' - indexerror = 'index 0 is out of bounds for axis 0 with size 0' - oserror1 = 'Malformed TRR file. Number of atoms <= 0. Are you sure this is a valid GROMACS TRR file?' - oserror2 = 'No such file:' - assertionerror = 'assert len(name) == 4' - ve1 = 'The topology and the trajectory files might not contain the same atoms' - ve2 = 'xyz must be shape' - ve3 = 'could not convert string to float:' - if isinstance(e, RuntimeError) and runtimeerror in str(e): - pass - elif isinstance(e, IndexError) and indexerror in str(e): - pass - elif isinstance(e, OSError) and (oserror1 in str(e) or oserror2 in str(e)): - pass - elif isinstance(e, AssertionError): # and assertionerror in str(e): - pass - elif isinstance(e, ValueError) and (ve1 in str(e) or ve2 in str(e) or ve3 in str(e)): - pass - else: - print(str(e)) - raise - print('done')

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