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|
|
cc661f31e1 |
@@ -0,0 +1,19 @@
|
||||
[bumpversion]
|
||||
current_version = 0.11.0
|
||||
|
||||
[bumpversion:file:setup.py]
|
||||
search = version="{current_version}"
|
||||
replace = version="{new_version}"
|
||||
|
||||
[bumpversion:file:server/cli/cli.py]
|
||||
search = version="{current_version}"
|
||||
replace = version="{new_version}"
|
||||
|
||||
[bumpversion:file:client/package.json]
|
||||
search = "version": "{current_version}"
|
||||
replace = "version": "{new_version}"
|
||||
|
||||
[bumpversion:file:server/__init__.py]
|
||||
search = "__version__ = "{current_version}"
|
||||
replace = "__version__ = "{new_version}"
|
||||
|
||||
@@ -0,0 +1,5 @@
|
||||
bin
|
||||
client
|
||||
dist
|
||||
docs
|
||||
server
|
||||
+31
-3
@@ -1,16 +1,44 @@
|
||||
# dependencies
|
||||
node_modules
|
||||
node_modules/
|
||||
|
||||
# coverage
|
||||
coverage
|
||||
.nyc_output
|
||||
|
||||
.pytest_cache/
|
||||
|
||||
# production
|
||||
build
|
||||
build/
|
||||
dist/
|
||||
*.egg-info
|
||||
|
||||
# Environments
|
||||
venv/
|
||||
cellxgene/
|
||||
|
||||
# client build
|
||||
server/app/web/static/css/
|
||||
server/app/web/static/img/
|
||||
server/app/web/static/media/
|
||||
server/app/web/static/js/
|
||||
server/app/web/templates/index\.html
|
||||
|
||||
# Jupyter Notebook
|
||||
.ipynb_checkpoints
|
||||
*.ipynb
|
||||
|
||||
# cefpython
|
||||
error.log
|
||||
|
||||
# misc
|
||||
.DS_Store
|
||||
npm-debug.log
|
||||
.vscode
|
||||
|
||||
*.idea*
|
||||
__pycache__
|
||||
*.DS_Store*
|
||||
data
|
||||
|
||||
# Jekyll
|
||||
docs/_site/
|
||||
docs/Gemfile.lock
|
||||
|
||||
+31
@@ -0,0 +1,31 @@
|
||||
language: python
|
||||
dist: xenial
|
||||
sudo: required
|
||||
node_js:
|
||||
- 8
|
||||
cache:
|
||||
- pip
|
||||
- npm
|
||||
install:
|
||||
- set -eo pipefail
|
||||
- pip install flake8
|
||||
- make pydist
|
||||
- make install-dist
|
||||
- pip install -r server/requirements-dev.txt
|
||||
|
||||
jobs:
|
||||
include:
|
||||
- name: "Branch Tests 3.7"
|
||||
python: "3.7"
|
||||
script: ./travis-build.sh
|
||||
- name: "Branch Tests 3.6"
|
||||
python: "3.6"
|
||||
script: ./travis-build.sh
|
||||
- name: "Docker Build"
|
||||
install: skip
|
||||
python: "3.6"
|
||||
script: docker build .
|
||||
- name: "Smoke Tests"
|
||||
python: "3.6"
|
||||
script:
|
||||
- npm run --prefix client/ smoke-test
|
||||
@@ -0,0 +1,49 @@
|
||||
# contributing to cellxgene
|
||||
|
||||
We warmly welcome contributions from the community! Please submit any bug reports and feature requests through [Github issues](https://github.com/chanzuckerberg/cellxgene/issues). Please submit any direct contributions by forking the repository, creating a branch, and submitting a Pull Request. It'd be great for PRs to include test cases and documentation updates where relevant, though we know the core test suite is itself still a work in progress.
|
||||
|
||||
All code contributions and dependencies must be compatible with the project's [open-source license (MIT)](LICENSE.txt).
|
||||
|
||||
This project adheres to the Contributor Covenant
|
||||
[code of conduct](https://github.com/chanzuckerberg/.github/tree/master/CODE_OF_CONDUCT.md).
|
||||
By participating, you are expected to uphold this code. Please report unacceptable behavior
|
||||
to opensource@chanzuckerberg.com.
|
||||
|
||||
And finally, if you have any questions about any of this stuff, just ask! :)
|
||||
|
||||
## developer guide
|
||||
|
||||
This project has made a few key design choices
|
||||
|
||||
- The front-end is built with [`regl`](https://github.com/regl-project/regl) (a webgl library), [`react`](https://reactjs.org/), [`redux`](https://redux.js.org/), [`d3`](https://github.com/d3/d3), and [`blueprint`](https://blueprintjs.com/docs/#core) to handle rendering large numbers of cells with lots of complex interactivity
|
||||
- The app is designed with a client-server model that can support a range of existing analysis packages for backend computational tasks (currently built for [scanpy](https://github.com/theislab/scanpy))
|
||||
- The client uses fast cross-filtering to handle selections and comparisons across subsets of data
|
||||
|
||||
Depending on your background and interests, you might want to contribute to the frontend, or backend, or both!
|
||||
|
||||
If you are interested in working on `cellxgene` development, we recommend cloning the project from Gitub. First you'll need the following installed on your machine
|
||||
|
||||
- python 3.6+
|
||||
- node and npm (we recommend using [nvm](https://github.com/creationix/nvm) if this is your first time with node)
|
||||
|
||||
Then clone the project
|
||||
|
||||
```
|
||||
git clone https://github.com/chanzuckerberg/cellxgene.git
|
||||
```
|
||||
|
||||
Build the client web assets by calling `make` from inside the `cellxgene` folder
|
||||
|
||||
```
|
||||
make
|
||||
```
|
||||
|
||||
Install all requirements (we recommend doing this inside a virtual environment)
|
||||
|
||||
```
|
||||
pip install -e .
|
||||
```
|
||||
|
||||
You can start the app while developing either by calling `cellxgene` or by calling `python -m server`. We recommend using the `--debug` flag to see more output, which you can include when reporting bugs.
|
||||
|
||||
If you have any questions about developing or contributing, come hang out with us by joining the [CZI Science Slack](https://join-cellxgene-users.herokuapp.com/) and posting in the `#cellxgene-dev` channel.
|
||||
+10
@@ -0,0 +1,10 @@
|
||||
FROM ubuntu:bionic
|
||||
|
||||
ENV LC_ALL=C.UTF-8
|
||||
ENV LANG=C.UTF-8
|
||||
|
||||
RUN apt-get update && \
|
||||
apt-get install -y build-essential libxml2-dev python3-dev python3-pip zlib1g-dev && \
|
||||
pip3 install cellxgene
|
||||
|
||||
ENTRYPOINT ["cellxgene"]
|
||||
@@ -0,0 +1,4 @@
|
||||
recursive-include server/app/web/templates *
|
||||
recursive-include server/app/web/static *
|
||||
|
||||
include server/requirements.txt
|
||||
@@ -1,9 +1,95 @@
|
||||
# cellxgene
|
||||
|
||||
A React + Redux web application for exploring large scale single cell RNA sequence data.
|
||||
> an interactive explorer for single-cell transcriptomics data
|
||||
|
||||
##### Quickstart:
|
||||
[](https://zenodo.org/badge/latestdoi/105615409)
|
||||
|
||||
* `npm install`
|
||||
* `npm start`
|
||||
* `localhost:3000`
|
||||
_cellxgene_ (pronounced "sell-by-jean") is an interactive data explorer for single-cell transcriptomics datasets, such as those coming from the [Human Cell Atlas](https://humancellatlas.org). Leveraging modern web development techniques to enable fast visualizations of at least 1 million cells, we hope to enable biologists and computational researchers to explore their data, and to demonstrate general, scalable, and reusable patterns for scientific data visualization.
|
||||
|
||||
<img src="https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/docs/cellxgene-demo-1.gif" width="200" height="200" hspace="30"><img src="https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/docs/cellxgene-demo-2.gif" width="200" height="200" hspace="30"><img src="https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/docs/cellxgene-demo-3.gif" width="200" height="200" hspace="30">
|
||||
|
||||
- Want to install and use cellxgene? Visit the [cellxgene docs](https://chanzuckerberg.github.io/cellxgene/).
|
||||
- Want to see where we are going? Check out [our roadmap](ROADMAP.md).
|
||||
- Want to contribute? See our [contributors guide](CONTRIBUTING.md).
|
||||
|
||||
## quick start
|
||||
|
||||
To install _cellxgene_ you need Python 3.6+. We recommend [installing _cellxgene_ into a conda or virtual environment.](https://chanzuckerberg.github.io/cellxgene/faq.html#how-do-i-create-a-python-36-environment-for-cellxgene)
|
||||
|
||||
Install the package.
|
||||
``` bash
|
||||
pip install cellxgene
|
||||
```
|
||||
|
||||
Download an example [anndata](https://anndata.readthedocs.io/en/latest/) file
|
||||
|
||||
``` bash
|
||||
curl -o pbmc3k.h5ad https://raw.githubusercontent.com/chanzuckerberg/cellxgene/master/example-dataset/pbmc3k.h5ad
|
||||
```
|
||||
|
||||
Launch _cellxgene_
|
||||
``` bash
|
||||
cellxgene launch pbmc3k.h5ad --open
|
||||
```
|
||||
|
||||
To learn more about what you can do with _cellxgene_, see the [Getting Started](https://chanzuckerberg.github.io/cellxgene/getting-started.html) guide.
|
||||
|
||||
## get in touch
|
||||
|
||||
Have questions, suggestions, or comments? You can come hang out with us by joining the [CZI Science Slack](https://join-cellxgene-users.herokuapp.com/) and posting in the `#cellxgene-users` channel. Have feature requests or bugs? Please submit these as [Github issues](https://github.com/chanzuckerberg/cellxgene/issues). We'd love to hear from you!
|
||||
|
||||
## contributing
|
||||
|
||||
We warmly welcome contributions from the community! Please see our [contributing guide](CONTRIBUTING.md) and don't hesitate to open an issue or send a pull request to improve cellxgene.
|
||||
|
||||
This project adheres to the Contributor Covenant [code of conduct](https://github.com/chanzuckerberg/.github/blob/master/CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please report unacceptable behavior to opensource@chanzuckerberg.com.
|
||||
|
||||
## where we are going
|
||||
|
||||
Our goal is to enable teams of computational and experimental
|
||||
biologists to collaboratively gain insight into their single-cell RNA-seq data.
|
||||
|
||||
There are 4 key features we plan to implement in the near term.
|
||||
|
||||
- Click install and launch
|
||||
- Manual annotation workflows
|
||||
- Toggle embeddings
|
||||
- Gene information
|
||||
|
||||
For more detail on these features and where we are going, see [our roadmap](ROADMAP.md).
|
||||
|
||||
## risks of hosting cellxgene
|
||||
|
||||
_cellxgene_ is built on standard web technologies, but is currently designed as a single-user desktop application.
|
||||
We've done this so we can prioritize the features on [our roadmap](ROADMAP.md).
|
||||
|
||||
Some of our users have experimented with hosting _cellxgene_ either for their lab or for public use, but please note that the _cellxgene_ team does not officially support, troubleshoot, or maintain any web deployments at this time.
|
||||
|
||||
If do you choose setup _cellxgene_ as a hosted service, you should be aware of the following risks:
|
||||
|
||||
- `$ cellxgene launch` uses Flask's development server, which is not recommended for hosted deployment (see the [Flask documentation](http://flask.pocoo.org/docs/1.0/tutorial/deploy/#run-with-a-production-server))
|
||||
- We have no testing or official support for deployments where multiple users are accessing the same _cellxgene_ instance.
|
||||
- Your _cellxgene_ instance is likely to hang or crash if too many people access it at the same time, especially if they using functions that call the Python backend (such as differential expression, updating the layout, or coloring by gene).
|
||||
- _cellxgene_ only supports one instance per dataset
|
||||
|
||||
## inspiration
|
||||
|
||||
We've been heavily inspired by several other related single-cell visualization projects, including the [UCSC Cell Browswer](http://cells.ucsc.edu/), [Cytoscape](http://www.cytoscape.org/), [Xena](https://xena.ucsc.edu/), [ASAP](https://asap.epfl.ch/), [Gene Pattern](http://genepattern-notebook.org/), and many others. We hope to explore collaborations where useful as this community works together on improving interactive visualization for single-cell data.
|
||||
|
||||
We were inspired by Mike Bostock and the [crossfilter](https://github.com/crossfilter) team for the design of our filtering implementation.
|
||||
|
||||
We have been working closely with the [`scanpy`](https://github.com/theislab/scanpy) team to integrate with their awesome analysis tools. Special thanks to Alex Wolf, Fabian Theis, and the rest of the team for their help during development and for providing an example dataset.
|
||||
|
||||
We are eager to explore integrations with other computational backends such as [`Seurat`](https://github.com/satijalab/seurat) or [`Bioconductor`](https://github.com/Bioconductor)
|
||||
|
||||
## core team
|
||||
|
||||
- Colin Megill, frontend & product design
|
||||
- Charlotte Weaver, software engineer
|
||||
- Bruce Martin, software engineer
|
||||
- Sidney Bell, computational biologist
|
||||
- Justin Kiggins, product manager
|
||||
|
||||
## reuse
|
||||
|
||||
This project was started with the sole goal of empowering the scientific community to explore and understand their data. As such, we encourage other scientific tool builders in academia or industry to adopt the patterns, tools, and code from this project, and reach out to us with ideas or questions. All code is freely available for reuse under the [MIT license](https://opensource.org/licenses/MIT).
|
||||
|
||||
+46
@@ -0,0 +1,46 @@
|
||||
# cellxgene roadmap
|
||||
|
||||
cellxgene makes it easier for biologists to collaboratively explore and understand their single-cell RNA-seq data.
|
||||
In the near term, we are focused on continuing to enable fast, interactive exploration of single-cell data, supporting collaborative workflows in single-cell analysis, and improving user support.
|
||||
If you have questions or feedback about this roadmap, please submit an issue on GitHub.
|
||||
Please note: this roadmap is subject to change.
|
||||
|
||||
Last updated: June 25, 2019
|
||||
|
||||
## Fast, interactive exploration of single-cell data
|
||||
|
||||
### Exposing Relationships Between Metadata and Data
|
||||
Biologists need to understand how variables (stored in metadata) are associated with one another and how they relate to changes in gene expression.
|
||||
Building upon visualization features that reveal categorical metadata relationships (cluster occupancy) and gene expression relationships (scatterplot), we plan to add exploratory visualization components that enable investigation of relationships between metadata and gene expression.
|
||||
See [issue #616](https://github.com/chanzuckerberg/cellxgene/issues/616) for more details.
|
||||
|
||||
### Contextualizing Genes
|
||||
While exploring a transcriptomics dataset, scientists need to understand the biological context of genes.
|
||||
This context may be provided by user-defined gene metadata or publicly available gene databases.
|
||||
We plan to support augmenting gene names with additional information that is useful to biologists.
|
||||
See [issue #96](https://github.com/chanzuckerberg/cellxgene/issues/96) for more detail.
|
||||
|
||||
## Support collaborative workflows in single-cell analysis
|
||||
|
||||
### Manual Annotations
|
||||
cellxgene offers exploratory visualizations that are critical for manual annotation workflows, especially in collaborative environments.
|
||||
We plan to support manually annotating cells with labels (i.e., cell type or QC flags), and their easy export for downstream analysis.
|
||||
See [issue #524](https://github.com/chanzuckerberg/cellxgene/issues/524) for more details.
|
||||
|
||||
### Simple Click to Launch
|
||||
|
||||
Many biologists prefer not to interact with the command line and need an OS-native experience when using cellxgene.
|
||||
We plan to implement a point-and-click installation and launch experience so that users can easily load data into cellxgene.
|
||||
See [issue #687](https://github.com/chanzuckerberg/cellxgene/issues/687) for details.
|
||||
|
||||
### Python API
|
||||
For computational biologists, saving h5ad files then loading them into cellxgene is a point of friction.
|
||||
We plan to support importing cellxgene as a Python package so that users can launch cellxgene directly from an interactive environment (such as Jupyter, IPython, or Spyder), and pass data to and from the cellxgene UI.
|
||||
|
||||
## Improving user support
|
||||
|
||||
### Improved documentation
|
||||
cellxgene has some specific expectations about how data is stored.
|
||||
We want to ensure that new users can get started easily and learn how to use cellxgene with their own data.
|
||||
We plan to improve documentation on getting started, installation, data, and contributing.
|
||||
See [issue #533](https://github.com/chanzuckerberg/cellxgene/issues/533) for more details.
|
||||
@@ -0,0 +1,41 @@
|
||||
# -*- mode: python ; coding: utf-8 -*-
|
||||
|
||||
block_cipher = None
|
||||
|
||||
|
||||
a = Analysis(['server/gui/main.py'],
|
||||
pathex=['/Users/charlotteweaver/Documents/Git/cellxgene'],
|
||||
binaries=[('/System/Library/Frameworks/Tk.framework/Tk', 'tk'), ('/System/Library/Frameworks/Tcl.framework/Tcl', 'tcl')],
|
||||
datas=[('server/app/web/templates/', 'server/app/web/templates/'), ('server/app/web/static/', 'server/app/web/static/')],
|
||||
hiddenimports=['sklearn', 'sklearn.utils._cython_blas', 'sklearn.neighbors.typedefs', 'sklearn.neighbors.quad_tree', 'sklearn.tree', 'sklearn.tree._utils'],
|
||||
hookspath=['server/gui/'],
|
||||
runtime_hooks=[],
|
||||
excludes=[],
|
||||
win_no_prefer_redirects=False,
|
||||
win_private_assemblies=False,
|
||||
cipher=block_cipher,
|
||||
noarchive=False)
|
||||
pyz = PYZ(a.pure, a.zipped_data,
|
||||
cipher=block_cipher)
|
||||
exe = EXE(pyz,
|
||||
a.scripts,
|
||||
[],
|
||||
exclude_binaries=True,
|
||||
name='cellxgene',
|
||||
debug=False,
|
||||
bootloader_ignore_signals=False,
|
||||
strip=False,
|
||||
upx=True,
|
||||
console=False , icon='server/gui/images/cxg_icons.icns')
|
||||
coll = COLLECT(exe,
|
||||
a.binaries,
|
||||
a.zipfiles,
|
||||
a.datas,
|
||||
strip=False,
|
||||
upx=True,
|
||||
upx_exclude=[],
|
||||
name='cellxgene')
|
||||
app = BUNDLE(coll,
|
||||
name='cellxgene.app',
|
||||
icon='server/gui/images/cxg_icons.icns',
|
||||
bundle_identifier=None)
|
||||
@@ -0,0 +1,36 @@
|
||||
# -*- mode: python -*-
|
||||
|
||||
block_cipher = None
|
||||
|
||||
|
||||
a = Analysis(['server\\gui\\main.py'],
|
||||
pathex=['C:\\Users\\Charlotte\\Documents\\git\\cellxgene'],
|
||||
binaries=[],
|
||||
datas=[('server/app/web/templates/', 'server/app/web/templates'), ('server/app/web/static/', 'server/app/web/static')],
|
||||
hiddenimports=[],
|
||||
hookspath=['server/gui/'],
|
||||
runtime_hooks=[],
|
||||
excludes=[],
|
||||
win_no_prefer_redirects=False,
|
||||
win_private_assemblies=False,
|
||||
cipher=block_cipher,
|
||||
noarchive=False)
|
||||
pyz = PYZ(a.pure, a.zipped_data,
|
||||
cipher=block_cipher)
|
||||
exe = EXE(pyz,
|
||||
a.scripts,
|
||||
[],
|
||||
exclude_binaries=True,
|
||||
name='cellxgene',
|
||||
debug=False,
|
||||
bootloader_ignore_signals=False,
|
||||
strip=False,
|
||||
upx=True,
|
||||
console=False , icon='server\\gui\\images\\icon.ico')
|
||||
coll = COLLECT(exe,
|
||||
a.binaries,
|
||||
a.zipfiles,
|
||||
a.datas,
|
||||
strip=False,
|
||||
upx=True,
|
||||
name='cellxgene')
|
||||
@@ -0,0 +1,6 @@
|
||||
export const jest_env = process.env.JEST_ENV || "dev";
|
||||
export const appPort = process.env.JEST_CXG_PORT || 3000;
|
||||
export const appUrlBase = `http://localhost:${appPort}`;
|
||||
export const DEV = jest_env === "dev";
|
||||
export const DEBUG = jest_env === "debug";
|
||||
export const DATASET = "pbmc3k";
|
||||
@@ -0,0 +1,122 @@
|
||||
export const datasets = {
|
||||
pbmc3k: {
|
||||
title: "pbmc3k",
|
||||
dataframe: {
|
||||
nObs: "2638",
|
||||
nVar: "1838",
|
||||
type: "float32"
|
||||
},
|
||||
categorical: {
|
||||
louvain: {
|
||||
"B cells": "342",
|
||||
"CD14+ Monocytes": "480",
|
||||
"CD4 T cells": "1144",
|
||||
"CD8 T cells": "316",
|
||||
"Dendritic cells": "37",
|
||||
"FCGR3A+ Monocytes": "150",
|
||||
Megakaryocytes: "15",
|
||||
"NK cells": "154"
|
||||
}
|
||||
},
|
||||
continuous: {
|
||||
n_genes: "int32",
|
||||
percent_mito: "float32",
|
||||
n_counts: "float32"
|
||||
},
|
||||
cellsets: {
|
||||
lasso: [
|
||||
{
|
||||
"coordinates-as-percent": { x1: 0.05, y1: 0.25, x2: 0.15, y2: 0.35 },
|
||||
count: "71"
|
||||
}
|
||||
],
|
||||
categorical: [
|
||||
{
|
||||
metadata: "louvain",
|
||||
values: ["B cells", "Megakaryocytes"],
|
||||
count: "357"
|
||||
}
|
||||
],
|
||||
continuous: [
|
||||
{
|
||||
metadata: "n_genes",
|
||||
"coordinates-as-percent": { x1: 0.25, y1: 0.5, x2: 0.55, y2: 0.5 },
|
||||
count: "1537"
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
diffexp: {
|
||||
cellset1: [
|
||||
{ kind: "categorical", metadata: "louvain", values: ["B cells"] }
|
||||
],
|
||||
cellset2: [
|
||||
{
|
||||
kind: "categorical",
|
||||
metadata: "louvain",
|
||||
values: ["CD4 T cells", "NK cells"]
|
||||
}
|
||||
],
|
||||
"gene-results": [
|
||||
"HLA-DRB1",
|
||||
"HLA-DPB1",
|
||||
"CD79A",
|
||||
"HLA-DPA1",
|
||||
"HLA-DQA1",
|
||||
"CD79B",
|
||||
"HLA-DQB1",
|
||||
"MS4A1",
|
||||
"IL32",
|
||||
"CD37"
|
||||
]
|
||||
},
|
||||
|
||||
genes: {
|
||||
bulkadd: ["S100A8", "FCGR3A", "LGALS2", "GSTP1"],
|
||||
search: "ACD"
|
||||
},
|
||||
subset: {
|
||||
cellset1: [
|
||||
{
|
||||
kind: "categorical",
|
||||
metadata: "louvain",
|
||||
values: ["B cells", "Megakaryocytes"]
|
||||
}
|
||||
],
|
||||
count: "357",
|
||||
categorical: {
|
||||
louvain: {
|
||||
"B cells": "342",
|
||||
Megakaryocytes: "15"
|
||||
}
|
||||
},
|
||||
lasso: {
|
||||
"coordinates-as-percent": { x1: 0.45, y1: 0.05, x2: 0.65, y2: 0.15 },
|
||||
count: "36"
|
||||
}
|
||||
},
|
||||
scatter: {
|
||||
genes: { x: "S100A8", y: "FCGR3A" }
|
||||
},
|
||||
pan: {
|
||||
"coordinates-as-percent": { x1: 0.75, y1: 0.75, x2: 0.35, y2: 0.35 }
|
||||
},
|
||||
features: {
|
||||
panzoom: {
|
||||
lasso: {
|
||||
"coordinates-as-percent": { x1: 0.3, y1: 0.3, x2: 0.5, y2: 0.5 },
|
||||
count: "24"
|
||||
}
|
||||
}
|
||||
},
|
||||
clip: {
|
||||
min: "30",
|
||||
max: "70",
|
||||
metadata: "n_genes",
|
||||
gene: "S100A8",
|
||||
"coordinates-as-percent": { x1: 0.25, y1: 0.5, x2: 0.55, y2: 0.5 },
|
||||
count: "392",
|
||||
"gene-cell-count": "421"
|
||||
}
|
||||
}
|
||||
};
|
||||
@@ -0,0 +1,343 @@
|
||||
/*
|
||||
Smoke test suite that will be run in Travis CI
|
||||
|
||||
Tests included in this file are expected to be relatively stable and test core features
|
||||
*/
|
||||
import puppeteer from "puppeteer";
|
||||
import { appUrlBase, DEBUG, DEV, DATASET } from "./config";
|
||||
import { puppeteerUtils, cellxgeneActions } from "./puppeteerUtils";
|
||||
import { datasets } from "./data";
|
||||
|
||||
let browser, page, utils, cxgActions, spy;
|
||||
const browserViewport = { width: 1280, height: 960 };
|
||||
let data = datasets[DATASET];
|
||||
|
||||
if (DEBUG) jest.setTimeout(100000);
|
||||
if (DEV) jest.setTimeout(10000);
|
||||
|
||||
beforeAll(async () => {
|
||||
const browserParams = DEV
|
||||
? { headless: false, slowMo: 5 }
|
||||
: DEBUG
|
||||
? { headless: false, slowMo: 100, devtools: true }
|
||||
: {};
|
||||
browser = await puppeteer.launch(browserParams);
|
||||
page = await browser.newPage();
|
||||
await page.setViewport(browserViewport);
|
||||
if (DEV || DEBUG) {
|
||||
page.on("console", async msg => {
|
||||
// If there is a console.error but an error is not thrown, this will ensure the test fails
|
||||
if (msg.type() === "error") {
|
||||
const errorMsgText = await Promise.all(
|
||||
// TODO can we do this without internal properties?
|
||||
msg.args().map(arg => arg._remoteObject.description)
|
||||
);
|
||||
throw new Error(`Console error: ${errorMsgText}`);
|
||||
}
|
||||
console.log(`PAGE LOG: ${msg.text()}`);
|
||||
});
|
||||
}
|
||||
page.on("pageerror", err => {
|
||||
throw new Error(`Console error: ${err}`);
|
||||
});
|
||||
utils = puppeteerUtils(page);
|
||||
cxgActions = cellxgeneActions(page);
|
||||
});
|
||||
|
||||
beforeEach(async () => {
|
||||
await page.goto(appUrlBase);
|
||||
});
|
||||
|
||||
afterAll(() => {
|
||||
if (!DEBUG) {
|
||||
browser.close();
|
||||
}
|
||||
});
|
||||
|
||||
describe("did launch", () => {
|
||||
test("page launched", async () => {
|
||||
let el = await utils.getOneElementInnerHTML("[data-testid='header']");
|
||||
expect(el).toBe(data.title);
|
||||
});
|
||||
});
|
||||
|
||||
describe("metadata loads", () => {
|
||||
test("categories and values from dataset appear", async () => {
|
||||
for (const label in data.categorical) {
|
||||
await utils.waitByID(`category-${label}`);
|
||||
const categoryName = await utils.getOneElementInnerText(
|
||||
`[data-testid="category-${label}"]`
|
||||
);
|
||||
expect(categoryName).toMatch(label);
|
||||
await utils.clickOn(`category-expand-${label}`);
|
||||
const categories = await cxgActions.getAllCategoriesAndCounts(label);
|
||||
expect(Object.keys(categories)).toMatchObject(
|
||||
Object.keys(data.categorical[label])
|
||||
);
|
||||
expect(Object.values(categories)).toMatchObject(
|
||||
Object.values(data.categorical[label])
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
test("continuous data appears", async () => {
|
||||
for (const label in data.continuous) {
|
||||
await utils.waitByID(`histogram-${label}`);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe("cell selection", () => {
|
||||
test("selects all cells cellset 1", async () => {
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(data.dataframe.nObs);
|
||||
});
|
||||
|
||||
test("selects all cells cellset 2", async () => {
|
||||
const cellCount = await cxgActions.cellSet(2);
|
||||
expect(cellCount).toBe(data.dataframe.nObs);
|
||||
});
|
||||
|
||||
test("selects cells via lasso", async () => {
|
||||
for (const cellset of data.cellsets.lasso) {
|
||||
const cellset1 = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
cellset["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag("layout-graph", cellset1.start, cellset1.end, true);
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(cellset.count);
|
||||
}
|
||||
});
|
||||
|
||||
test("selects cells via categorical", async () => {
|
||||
for (const cellset of data.cellsets.categorical) {
|
||||
await utils.clickOn(`category-expand-${cellset.metadata}`);
|
||||
await utils.clickOn(`category-select-${cellset.metadata}`);
|
||||
for (const val of cellset.values) {
|
||||
await utils.clickOn(
|
||||
`categorical-value-select-${cellset.metadata}-${val}`
|
||||
);
|
||||
}
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(cellset.count);
|
||||
}
|
||||
});
|
||||
|
||||
test("selects cells via continuous", async () => {
|
||||
for (const cellset of data.cellsets.continuous) {
|
||||
const histId = `histogram-${cellset.metadata}-plot-brush`;
|
||||
const coords = await cxgActions.calcDragCoordinates(
|
||||
histId,
|
||||
cellset["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(histId, coords.start, coords.end);
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(cellset.count);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe("gene entry", () => {
|
||||
test("search for single gene", async () => {
|
||||
// blueprint's typeahead is treating typing weird, clicking & waiting first solves this
|
||||
await utils.typeInto("gene-search", data.genes.search);
|
||||
await page.keyboard.press("Enter");
|
||||
await page.waitForSelector(
|
||||
`[data-testid='histogram-${data.genes.search}']`
|
||||
);
|
||||
});
|
||||
|
||||
test("bulk add genes", async () => {
|
||||
await cxgActions.reset();
|
||||
const testGenes = data.genes.bulkadd;
|
||||
await utils.clickOn("section-bulk-add");
|
||||
await utils.typeInto("input-bulk-add", testGenes.join(","));
|
||||
await page.keyboard.press("Enter");
|
||||
|
||||
const allHistograms = await cxgActions.getAllHistograms(
|
||||
"histogram-user-gene",
|
||||
testGenes
|
||||
);
|
||||
expect(allHistograms).toEqual(expect.arrayContaining(testGenes));
|
||||
expect(allHistograms.length).toEqual(testGenes.length);
|
||||
});
|
||||
});
|
||||
|
||||
describe("diffexp", () => {
|
||||
test("selects cells, saves them and performs diffexp", async () => {
|
||||
for (const select of data.diffexp.cellset1) {
|
||||
if (select.kind === "categorical") {
|
||||
await cxgActions.selectCategory(select.metadata, select.values, true);
|
||||
}
|
||||
}
|
||||
await cxgActions.cellSet(1);
|
||||
for (const select of data.diffexp.cellset2) {
|
||||
if (select.kind === "categorical") {
|
||||
await cxgActions.selectCategory(select.metadata, select.values, true);
|
||||
}
|
||||
}
|
||||
await cxgActions.cellSet(2);
|
||||
await utils.clickOn("diffexp-button");
|
||||
const allHistograms = await cxgActions.getAllHistograms(
|
||||
"histogram-diffexp",
|
||||
data.diffexp["gene-results"]
|
||||
);
|
||||
expect(allHistograms).toEqual(
|
||||
expect.arrayContaining(data.diffexp["gene-results"])
|
||||
);
|
||||
expect(allHistograms.length).toEqual(data.diffexp["gene-results"].length);
|
||||
});
|
||||
});
|
||||
|
||||
describe("subset/reset", () => {
|
||||
test("subset - cell count matches", async () => {
|
||||
for (const select of data.subset.cellset1) {
|
||||
if (select.kind === "categorical") {
|
||||
await cxgActions.selectCategory(select.metadata, select.values, true);
|
||||
}
|
||||
}
|
||||
await utils.clickOn("subset-button");
|
||||
for (const label in data.subset.categorical) {
|
||||
const categories = await cxgActions.getAllCategoriesAndCounts(label);
|
||||
expect(Object.keys(categories)).toMatchObject(
|
||||
Object.keys(data.subset.categorical[label])
|
||||
);
|
||||
expect(Object.values(categories)).toMatchObject(
|
||||
Object.values(data.subset.categorical[label])
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
test("reset after subset", async () => {
|
||||
for (const select of data.subset.cellset1) {
|
||||
if (select.kind === "categorical") {
|
||||
await cxgActions.selectCategory(select.metadata, select.values, true);
|
||||
}
|
||||
}
|
||||
await utils.clickOn("subset-button");
|
||||
for (const label in data.subset.categorical) {
|
||||
const categories = await cxgActions.getAllCategoriesAndCounts(label);
|
||||
expect(Object.keys(categories)).toMatchObject(
|
||||
Object.keys(data.subset.categorical[label])
|
||||
);
|
||||
expect(Object.values(categories)).toMatchObject(
|
||||
Object.values(data.subset.categorical[label])
|
||||
);
|
||||
}
|
||||
await cxgActions.reset();
|
||||
for (const label in data.categorical) {
|
||||
await utils.waitByID(`category-${label}`);
|
||||
const categoryName = await utils.getOneElementInnerText(
|
||||
`[data-testid="category-${label}"]`
|
||||
);
|
||||
expect(categoryName).toMatch(label);
|
||||
const categories = await cxgActions.getAllCategoriesAndCounts(label);
|
||||
expect(Object.keys(categories)).toMatchObject(
|
||||
Object.keys(data.categorical[label])
|
||||
);
|
||||
expect(Object.values(categories)).toMatchObject(
|
||||
Object.values(data.categorical[label])
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
test("lasso after subset", async () => {
|
||||
for (const select of data.subset.cellset1) {
|
||||
if (select.kind === "categorical") {
|
||||
await cxgActions.selectCategory(select.metadata, select.values, true);
|
||||
}
|
||||
}
|
||||
await utils.clickOn("subset-button");
|
||||
const lassoSelection = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
data.subset.lasso["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(
|
||||
"layout-graph",
|
||||
lassoSelection.start,
|
||||
lassoSelection.end,
|
||||
true
|
||||
);
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(data.subset.lasso.count);
|
||||
});
|
||||
});
|
||||
|
||||
describe("scatter plot", () => {
|
||||
test("scatter plot appears", async () => {
|
||||
await cxgActions.reset();
|
||||
const testGenes = data.scatter.genes;
|
||||
await utils.clickOn("section-bulk-add");
|
||||
await utils.typeInto("input-bulk-add", Object.values(testGenes).join(","));
|
||||
await page.keyboard.press("Enter");
|
||||
await utils.clickOn(`plot-x-${data.scatter.genes.x}`);
|
||||
await utils.clickOn(`plot-y-${data.scatter.genes.y}`);
|
||||
await utils.waitByID("scatterplot");
|
||||
});
|
||||
});
|
||||
|
||||
describe("clipping", () => {
|
||||
test("clip continuous", async () => {
|
||||
await cxgActions.clip(data.clip.min, data.clip.max);
|
||||
const histId = `histogram-${data.clip.metadata}-plot-brush`;
|
||||
const coords = await cxgActions.calcDragCoordinates(
|
||||
histId,
|
||||
data.clip["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(histId, coords.start, coords.end);
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(data.clip.count);
|
||||
});
|
||||
|
||||
test("clip gene", async () => {
|
||||
await utils.typeInto("gene-search", data.clip.gene);
|
||||
await page.keyboard.press("Enter");
|
||||
await page.waitForSelector(`[data-testid='histogram-${data.clip.gene}']`);
|
||||
await cxgActions.clip(data.clip.min, data.clip.max);
|
||||
const histId = `histogram-${data.clip.gene}-plot-brush`;
|
||||
const coords = await cxgActions.calcDragCoordinates(
|
||||
histId,
|
||||
data.clip["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(histId, coords.start, coords.end);
|
||||
const cellCount = await cxgActions.cellSet(1);
|
||||
expect(cellCount).toBe(data.clip["gene-cell-count"]);
|
||||
});
|
||||
});
|
||||
|
||||
// interact with UI elements just that they do not break
|
||||
describe("ui elements don't error", () => {
|
||||
test("color by", async () => {
|
||||
for (const label in data.categorical) {
|
||||
await utils.clickOn(`colorby-${label}`);
|
||||
}
|
||||
for (const label in data.continuous) {
|
||||
await utils.clickOn(`colorby-${label}`);
|
||||
}
|
||||
});
|
||||
|
||||
test("color by for gene", async () => {
|
||||
await utils.typeInto("gene-search", data.genes.search);
|
||||
await page.keyboard.press("Enter");
|
||||
await page.waitForSelector(
|
||||
`[data-testid='histogram-${data.genes.search}']`
|
||||
);
|
||||
await utils.clickOn(`colorby-${data.genes.search}`);
|
||||
});
|
||||
|
||||
test("pan and zoom", async () => {
|
||||
await utils.clickOn("mode-pan-zoom");
|
||||
const panCoords = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
data.pan["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(
|
||||
"layout-graph",
|
||||
panCoords.start,
|
||||
panCoords.end,
|
||||
false
|
||||
);
|
||||
await page.evaluate(`window.scrollBy(0, 1000);`);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"preset": "jest-puppeteer",
|
||||
"testMatch": [
|
||||
"**/__tests__/**/?(*.)(spec|test).js?(x)"
|
||||
],
|
||||
"testURL": "http://localhost/",
|
||||
"setupFiles": [
|
||||
"../setupMissingGlobals.js"
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,118 @@
|
||||
/*
|
||||
NOT run in Travis CI
|
||||
|
||||
UX tests using puppeteer to be run locally.
|
||||
|
||||
To run locally, ensure you are running the client is running on port 3000.
|
||||
Then run jest --verbose false --config __tests__/e2e/e2eJestConfig.json feature.
|
||||
*/
|
||||
|
||||
import puppeteer from "puppeteer";
|
||||
import { appUrlBase, DEBUG, DEV, DATASET } from "./config";
|
||||
import { puppeteerUtils, cellxgeneActions } from "./puppeteerUtils";
|
||||
import { datasets } from "./data";
|
||||
|
||||
let browser, page, utils, cxgActions, spy;
|
||||
const browserViewport = { width: 1280, height: 960 };
|
||||
let data = datasets[DATASET].features;
|
||||
|
||||
if (DEBUG) jest.setTimeout(100000);
|
||||
if (DEV) jest.setTimeout(10000);
|
||||
|
||||
beforeAll(async () => {
|
||||
const browserParams = DEV
|
||||
? { headless: false, slowMo: 5 }
|
||||
: DEBUG
|
||||
? { headless: false, slowMo: 100, devtools: true }
|
||||
: {};
|
||||
browser = await puppeteer.launch(browserParams);
|
||||
page = await browser.newPage();
|
||||
await page.setViewport(browserViewport);
|
||||
if (DEV || DEBUG) {
|
||||
page.on("console", msg => console.log(`PAGE LOG: ${msg.text()}`));
|
||||
}
|
||||
page.on("pageerror", err => {
|
||||
throw new Error(`Console error: ${err}`);
|
||||
});
|
||||
utils = puppeteerUtils(page);
|
||||
cxgActions = cellxgeneActions(page);
|
||||
});
|
||||
|
||||
beforeEach(async () => {
|
||||
await page.goto(appUrlBase);
|
||||
});
|
||||
|
||||
afterAll(() => {
|
||||
if (!DEBUG) {
|
||||
browser.close();
|
||||
}
|
||||
});
|
||||
|
||||
describe("zoom interaction", async () => {
|
||||
// Skip this test since UI is to hide lasso path when switching modes
|
||||
test.skip("lasso visible after switching modes to pan/zoom", async () => {
|
||||
const lassoSelection = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
data.panzoom.lasso["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(
|
||||
"layout-graph",
|
||||
lassoSelection.start,
|
||||
lassoSelection.end,
|
||||
true
|
||||
);
|
||||
await utils.waitByID("lasso-element", { visible: true });
|
||||
await utils.clickOn("mode-pan-zoom");
|
||||
await utils.waitByID("lasso-element", { visible: true });
|
||||
});
|
||||
|
||||
test("pan zoom mode resets lasso selection", async () => {
|
||||
const lassoSelection = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
data.panzoom.lasso["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(
|
||||
"layout-graph",
|
||||
lassoSelection.start,
|
||||
lassoSelection.end,
|
||||
true
|
||||
);
|
||||
await utils.waitByID("lasso-element", { visible: true });
|
||||
const initialCount = await cxgActions.cellSet(1);
|
||||
expect(initialCount).toBe(data.panzoom.lasso.count);
|
||||
await utils.clickOn("mode-pan-zoom");
|
||||
await utils.clickOn("mode-lasso");
|
||||
const modeSwitchCount = await cxgActions.cellSet(1);
|
||||
expect(modeSwitchCount).toBe(initialCount);
|
||||
});
|
||||
|
||||
test("lasso moves after pan", async () => {
|
||||
const lassoSelection = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
data.panzoom.lasso["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(
|
||||
"layout-graph",
|
||||
lassoSelection.start,
|
||||
lassoSelection.end,
|
||||
true
|
||||
);
|
||||
await utils.waitByID("lasso-element", { visible: true });
|
||||
const initialCount = await cxgActions.cellSet(1);
|
||||
expect(initialCount).toBe(data.panzoom.lasso.count);
|
||||
await utils.clickOn("mode-pan-zoom");
|
||||
const panCoords = await cxgActions.calcDragCoordinates(
|
||||
"layout-graph",
|
||||
data.panzoom.lasso["coordinates-as-percent"]
|
||||
);
|
||||
await cxgActions.drag(
|
||||
"layout-graph",
|
||||
panCoords.start,
|
||||
panCoords.end,
|
||||
false
|
||||
);
|
||||
await utils.clickOn("mode-lasso");
|
||||
const panCount = await cxgActions.cellSet(2);
|
||||
expect(panCount).toBe(initialCount);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,211 @@
|
||||
export const puppeteerUtils = puppeteerPage => ({
|
||||
async waitByID(testid, props = {}) {
|
||||
return await puppeteerPage.waitForSelector(
|
||||
`[data-testid='${testid}']`,
|
||||
props
|
||||
);
|
||||
},
|
||||
|
||||
async waitByClass(testclass, props = {}) {
|
||||
return await puppeteerPage.waitForSelector(
|
||||
`[data-testclass='${testclass}']`,
|
||||
props
|
||||
);
|
||||
},
|
||||
|
||||
async waitForAllByIds(testids, props = {}) {
|
||||
await Promise.all(
|
||||
testids.map(testid =>
|
||||
puppeteerPage.waitForSelector(`[data-testid='${testid}']`)
|
||||
)
|
||||
);
|
||||
},
|
||||
|
||||
async getAllByClass(testclass, props = {}) {
|
||||
const elements = await puppeteerPage.$$eval(
|
||||
`[data-testclass=${testclass}]`,
|
||||
els => {
|
||||
return els.map(el => {
|
||||
return el.dataset.testid;
|
||||
});
|
||||
}
|
||||
);
|
||||
return elements;
|
||||
},
|
||||
|
||||
async typeInto(testid, text) {
|
||||
// only works for text without special characters
|
||||
await this.waitByID(testid);
|
||||
const selector = `[data-testid='${testid}']`;
|
||||
// type ahead can be annoying if you don't pause before you type
|
||||
await puppeteerPage.click(selector);
|
||||
await puppeteerPage.waitFor(200);
|
||||
await puppeteerPage.type(selector, text);
|
||||
},
|
||||
|
||||
async clearInputAndTypeInto(testid, text) {
|
||||
await this.waitByID(testid);
|
||||
const selector = `[data-testid='${testid}']`;
|
||||
// only works for text without special characters
|
||||
// type ahead can be annoying if you don't pause before you type
|
||||
await puppeteerPage.click(selector);
|
||||
await puppeteerPage.waitFor(200);
|
||||
// select all
|
||||
|
||||
await puppeteerPage.click(selector, { clickCount: 3 });
|
||||
await puppeteerPage.keyboard.type("Backspace");
|
||||
await puppeteerPage.type(selector, text);
|
||||
},
|
||||
|
||||
async clickOn(testid) {
|
||||
await this.waitByID(testid);
|
||||
await puppeteerPage.click(`[data-testid='${testid}']`);
|
||||
await puppeteerPage.waitFor(50);
|
||||
},
|
||||
|
||||
async getOneElementInnerHTML(selector) {
|
||||
await puppeteerPage.waitForSelector(selector);
|
||||
let text = await puppeteerPage.$eval(selector, el => el.innerHTML);
|
||||
return text;
|
||||
},
|
||||
|
||||
async getOneElementInnerText(selector) {
|
||||
await puppeteerPage.waitForSelector(selector);
|
||||
let text = await puppeteerPage.$eval(selector, el => el.innerText);
|
||||
return text;
|
||||
}
|
||||
});
|
||||
|
||||
export const cellxgeneActions = puppeteerPage => ({
|
||||
async drag(testid, start, end, lasso = false) {
|
||||
const layout = await puppeteerUtils(puppeteerPage).waitByID(testid);
|
||||
const elBox = await layout.boxModel();
|
||||
const x1 = elBox.content[0].x + start.x;
|
||||
const x2 = elBox.content[0].x + end.x;
|
||||
const y1 = elBox.content[0].y + start.y;
|
||||
const y2 = elBox.content[0].y + end.y;
|
||||
await puppeteerPage.mouse.move(x1, y1);
|
||||
await puppeteerPage.mouse.down();
|
||||
if (lasso) {
|
||||
await puppeteerPage.mouse.move(x2, y1);
|
||||
await puppeteerPage.mouse.move(x2, y2);
|
||||
await puppeteerPage.mouse.move(x1, y2);
|
||||
await puppeteerPage.mouse.move(x1, y1);
|
||||
} else {
|
||||
await puppeteerPage.mouse.move(x2, y2);
|
||||
}
|
||||
await puppeteerPage.mouse.up();
|
||||
},
|
||||
|
||||
async getAllHistograms(testclass, testids) {
|
||||
const histTestIds = testids.map(tid => `histogram-${tid}`);
|
||||
// these load asynchronously, so we need to wait for each histogram individually
|
||||
await puppeteerUtils(puppeteerPage).waitForAllByIds(histTestIds);
|
||||
const allHistograms = await puppeteerUtils(puppeteerPage).getAllByClass(
|
||||
testclass
|
||||
);
|
||||
return allHistograms.map(hist =>
|
||||
hist.substr("histogram_".length, hist.length)
|
||||
);
|
||||
},
|
||||
|
||||
async getAllCategoriesAndCounts(category) {
|
||||
await puppeteerUtils(puppeteerPage).waitByClass("categorical-row");
|
||||
const categories = await puppeteerPage.$$eval(
|
||||
`[data-testid="category-${category}"] [data-testclass='categorical-row']`,
|
||||
els => {
|
||||
let result = {};
|
||||
els.forEach(el => {
|
||||
const cat = el.querySelector("[data-testclass='categorical-value']")
|
||||
.innerText;
|
||||
const count = el.querySelector(
|
||||
"[data-testclass='categorical-value-count']"
|
||||
).innerText;
|
||||
result[cat] = count;
|
||||
});
|
||||
return result;
|
||||
}
|
||||
);
|
||||
return categories;
|
||||
},
|
||||
|
||||
async cellSet(num) {
|
||||
await puppeteerUtils(puppeteerPage).clickOn(`cellset-button-${num}`);
|
||||
return await puppeteerUtils(puppeteerPage).getOneElementInnerText(
|
||||
`[data-testid='cellset-count-${num}']`
|
||||
);
|
||||
},
|
||||
|
||||
async resetCategory(category) {
|
||||
const checkboxId = `category-select-${category}`;
|
||||
await puppeteerUtils(puppeteerPage).waitByID(checkboxId);
|
||||
const checkedPseudoclass = await puppeteerPage.$eval(
|
||||
`[data-testid='${checkboxId}']`,
|
||||
el => {
|
||||
return el.matches(":checked");
|
||||
}
|
||||
);
|
||||
if (!checkedPseudoclass) {
|
||||
await puppeteerUtils(puppeteerPage).clickOn(checkboxId);
|
||||
}
|
||||
try {
|
||||
const categoryRow = await puppeteerUtils(puppeteerPage).waitByID(
|
||||
`category-expand-${category}`
|
||||
);
|
||||
const isExpanded = await categoryRow.$(
|
||||
"[data-testclass='category-expand-is-expanded']"
|
||||
);
|
||||
if (isExpanded) {
|
||||
await puppeteerUtils(puppeteerPage).clickOn(
|
||||
`category-expand-${category}`
|
||||
);
|
||||
}
|
||||
} catch {}
|
||||
},
|
||||
|
||||
async calcDragCoordinates(testid, coordinateAsPercent) {
|
||||
const el = await puppeteerUtils(puppeteerPage).waitByID(testid);
|
||||
const size = await el.boxModel();
|
||||
const coords = {
|
||||
start: {
|
||||
x: Math.floor(size.width * coordinateAsPercent.x1),
|
||||
y: Math.floor(size.height * coordinateAsPercent.y1)
|
||||
},
|
||||
end: {
|
||||
x: Math.floor(size.width * coordinateAsPercent.x2),
|
||||
y: Math.floor(size.height * coordinateAsPercent.y2)
|
||||
}
|
||||
};
|
||||
return coords;
|
||||
},
|
||||
|
||||
async selectCategory(category, values, reset = true) {
|
||||
if (reset) await this.resetCategory(category);
|
||||
await puppeteerUtils(puppeteerPage).clickOn(`category-expand-${category}`);
|
||||
await puppeteerUtils(puppeteerPage).clickOn(`category-select-${category}`);
|
||||
for (const val of values) {
|
||||
await puppeteerUtils(puppeteerPage).clickOn(
|
||||
`categorical-value-select-${category}-${val}`
|
||||
);
|
||||
}
|
||||
},
|
||||
|
||||
async reset() {
|
||||
await puppeteerUtils(puppeteerPage).clickOn("reset");
|
||||
// loading state never actually happens, reset is too fast
|
||||
await page.waitFor(200);
|
||||
},
|
||||
|
||||
async clip(min = 0, max = 100) {
|
||||
await puppeteerUtils(puppeteerPage).clickOn("visualization-settings");
|
||||
await puppeteerUtils(puppeteerPage).clearInputAndTypeInto(
|
||||
"clip-min-input",
|
||||
min
|
||||
);
|
||||
await puppeteerUtils(puppeteerPage).clearInputAndTypeInto(
|
||||
"clip-max-input",
|
||||
max
|
||||
);
|
||||
await puppeteerUtils(puppeteerPage).clickOn("clip-commit");
|
||||
}
|
||||
});
|
||||
@@ -0,0 +1,48 @@
|
||||
import cascadeReducers from "../../src/reducers/cascade";
|
||||
|
||||
describe("create", () => {
|
||||
test("from Array", () => {
|
||||
expect(cascadeReducers([["foo", () => 0]])).toBeInstanceOf(Function);
|
||||
});
|
||||
|
||||
test("from Map", () => {
|
||||
expect(cascadeReducers(new Map([["foo", () => 0]]))).toBeInstanceOf(
|
||||
Function
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe("cascade", () => {
|
||||
test("expected arguments provided & cascade ordering", () => {
|
||||
const topLevelState = {};
|
||||
const topLevelAction = { type: "test" };
|
||||
|
||||
const reducer = cascadeReducers([
|
||||
[
|
||||
"foo",
|
||||
(currentState, action, nextSharedState, prevSharedState) => {
|
||||
expect(currentState).toBeUndefined();
|
||||
expect(action).toEqual(topLevelAction);
|
||||
expect(nextSharedState).toStrictEqual({});
|
||||
expect(prevSharedState).toBe(topLevelState);
|
||||
return 0;
|
||||
}
|
||||
],
|
||||
[
|
||||
"bar",
|
||||
(currentState, action, nextSharedState, prevSharedState) => {
|
||||
expect(currentState).toBeUndefined();
|
||||
expect(action).toEqual(topLevelAction);
|
||||
expect(nextSharedState).toStrictEqual({ foo: 0 });
|
||||
expect(prevSharedState).toBe(topLevelState);
|
||||
return 99;
|
||||
}
|
||||
]
|
||||
]);
|
||||
|
||||
const nextState = reducer(topLevelState, topLevelAction);
|
||||
expect(nextState).toStrictEqual({ foo: 0, bar: 99 });
|
||||
expect(topLevelState).toStrictEqual({});
|
||||
expect(topLevelAction).toStrictEqual({ type: "test" });
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,87 @@
|
||||
import undoable from "../../src/reducers/undoable";
|
||||
|
||||
describe("create", () => {
|
||||
test("no keys", () => {
|
||||
expect(() => undoable(() => {})).toThrow();
|
||||
expect(() => undoable(() => {}, null)).toThrow();
|
||||
expect(() => undoable(() => {}, [])).toThrow();
|
||||
expect(() => undoable(() => {}, [], {})).toThrow();
|
||||
});
|
||||
|
||||
test("simple", () => {
|
||||
expect(undoable(() => {}, ["foo"])).toBeInstanceOf(Function);
|
||||
expect(undoable(() => {}, ["foo"], {})).toBeInstanceOf(Function);
|
||||
});
|
||||
|
||||
test("handles undefined initial state", () => {
|
||||
expect(
|
||||
undoable(() => {}, ["a"])(undefined, { type: "test" })
|
||||
).toMatchObject({});
|
||||
});
|
||||
});
|
||||
|
||||
describe("undo", () => {
|
||||
test("expected state modifications", () => {
|
||||
const initialState = { a: 0, b: 1000 };
|
||||
const reducer = state => {
|
||||
return { a: state.a + 1, b: state.b + 1 };
|
||||
};
|
||||
const undoableReducer = undoable(reducer, ["a"]);
|
||||
|
||||
const s1 = undoableReducer(initialState, { type: "test" });
|
||||
expect(s1).toMatchObject({ a: 1, b: 1001 });
|
||||
|
||||
// test that only specified keys are undone
|
||||
const s2 = undoableReducer(s1, { type: "@@undoable/undo" });
|
||||
expect(s2).toMatchObject({ a: 0, b: 1001 });
|
||||
|
||||
// test backstop when no more history
|
||||
const s3 = undoableReducer(s2, { type: "@@undoable/undo" });
|
||||
expect(s3).toMatchObject({ a: 0, b: 1001 });
|
||||
});
|
||||
});
|
||||
|
||||
describe("redo", () => {
|
||||
const initialState = { a: 0, b: 1000 };
|
||||
const reducer = state => {
|
||||
return { a: state.a + 1, b: state.b + 1 };
|
||||
};
|
||||
let UR;
|
||||
|
||||
beforeEach(() => {
|
||||
UR = undoable(reducer, ["a"]);
|
||||
});
|
||||
|
||||
test("expected state modifications", () => {
|
||||
const s1 = UR(initialState, { type: "test" });
|
||||
expect(s1).toMatchObject({ a: 1, b: 1001 });
|
||||
|
||||
// verify undo->redo reverts state.
|
||||
const s2 = UR(UR(s1, { type: "@@undoable/undo" }), {
|
||||
type: "@@undoable/redo"
|
||||
});
|
||||
expect(s2).toMatchObject({ a: 1, b: 1001 });
|
||||
|
||||
// verify backstop when no redo future
|
||||
const s3 = UR(s2, { type: "@@undoable/redo" });
|
||||
expect(s3).toMatchObject({ a: 1, b: 1001 });
|
||||
});
|
||||
|
||||
test("history cleared", () => {
|
||||
// verify future cleared upon a normal state transition
|
||||
const s1 = UR(initialState, { type: "test" });
|
||||
expect(s1).toMatchObject({ a: 1, b: 1001 });
|
||||
const s2 = UR(s1, { type: "@@undoable/undo" });
|
||||
expect(s2).toMatchObject({ a: 0, b: 1001 });
|
||||
const s3 = UR(s2, { type: "test" });
|
||||
expect(s3).toMatchObject({ a: 1, b: 1002 });
|
||||
const s4 = UR(s3, { type: "@@undoable/redo" });
|
||||
expect(s4).toMatchObject({ a: 1, b: 1002 });
|
||||
});
|
||||
});
|
||||
|
||||
/*
|
||||
TODO:
|
||||
- historyLimit is enforced
|
||||
- action filters
|
||||
*/
|
||||
@@ -0,0 +1,9 @@
|
||||
/*
|
||||
Define globals which are present in the client, but not in node (and therefore not in
|
||||
the jest test environment).
|
||||
*/
|
||||
|
||||
import { TextDecoder, TextEncoder } from "util";
|
||||
|
||||
global.TextDecoder = TextDecoder;
|
||||
global.TextEncoder = TextEncoder;
|
||||
@@ -0,0 +1,60 @@
|
||||
import { rangeEncodeIndices } from "../../src/util/actionHelpers";
|
||||
|
||||
describe("rangeEncodeIndices", () => {
|
||||
test("small array edge cases", () => {
|
||||
expect(rangeEncodeIndices([])).toMatchObject([]);
|
||||
expect(rangeEncodeIndices([1])).toMatchObject([1]);
|
||||
expect(rangeEncodeIndices([1, 99])).toMatchObject([1, 99]);
|
||||
expect(rangeEncodeIndices([99, 1])).toMatchObject([1, 99]);
|
||||
expect(rangeEncodeIndices([1, 100, 4])).toMatchObject([1, 4, 100]);
|
||||
});
|
||||
|
||||
test("sorted flag", () => {
|
||||
expect(rangeEncodeIndices([1, 9, 432], 10, true)).toMatchObject([
|
||||
1,
|
||||
9,
|
||||
432
|
||||
]);
|
||||
expect(rangeEncodeIndices([1, 9, 432], 10, false)).toMatchObject([
|
||||
1,
|
||||
9,
|
||||
432
|
||||
]);
|
||||
expect(rangeEncodeIndices([0, 1, 2, 3, 9, 10, 432], 2, true)).toMatchObject(
|
||||
[[0, 3], [9, 10], 432]
|
||||
);
|
||||
expect(
|
||||
rangeEncodeIndices([0, 1, 2, 3, 9, 10, 432], 2, false)
|
||||
).toMatchObject([[0, 3], [9, 10], 432]);
|
||||
});
|
||||
|
||||
test("begin or end edge cases", () => {
|
||||
expect(
|
||||
rangeEncodeIndices([3, 4, 5, 6, 7, 10, 11, 12, 99], 3, false)
|
||||
).toMatchObject([[3, 7], [10, 12], 99]);
|
||||
expect(
|
||||
rangeEncodeIndices([3, 4, 5, 6, 7, 10, 11, 12], 3, false)
|
||||
).toMatchObject([[3, 7], [10, 12]]);
|
||||
expect(
|
||||
rangeEncodeIndices([0, 3, 4, 5, 6, 7, 10, 11, 12], 3, false)
|
||||
).toMatchObject([0, [3, 7], [10, 12]]);
|
||||
expect(
|
||||
rangeEncodeIndices([0, 3, 4, 5, 6, 7, 10, 11, 12, 99], 3, false)
|
||||
).toMatchObject([0, [3, 7], [10, 12], 99]);
|
||||
});
|
||||
|
||||
test("minRangeLength", () => {
|
||||
expect(
|
||||
rangeEncodeIndices([3, 4, 5, 6, 7, 10, 11, 12, 99], 4, false)
|
||||
).toMatchObject([[3, 7], 10, 11, 12, 99]);
|
||||
expect(
|
||||
rangeEncodeIndices([3, 4, 5, 6, 7, 10, 11, 12], 4, false)
|
||||
).toMatchObject([[3, 7], 10, 11, 12]);
|
||||
expect(
|
||||
rangeEncodeIndices([0, 3, 4, 5, 6, 7, 10, 11, 12], 4, false)
|
||||
).toMatchObject([0, [3, 7], 10, 11, 12]);
|
||||
expect(
|
||||
rangeEncodeIndices([0, 3, 4, 5, 6, 7, 10, 11, 12, 99], 4, false)
|
||||
).toMatchObject([0, [3, 7], 10, 11, 12, 99]);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,652 @@
|
||||
import * as Dataframe from "../../../src/util/dataframe";
|
||||
|
||||
describe("dataframe constructor", () => {
|
||||
test("empty dataframe", () => {
|
||||
const df = new Dataframe.Dataframe([0, 0], []);
|
||||
expect(df).toBeDefined();
|
||||
expect(df.dims).toEqual([0, 0]);
|
||||
expect(df).toHaveLength(0);
|
||||
expect(df.icol(0)).not.toBeDefined();
|
||||
});
|
||||
|
||||
test("create with default indices", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 2],
|
||||
[new Int32Array(3).fill(0), new Int32Array(3).fill(1)]
|
||||
);
|
||||
|
||||
expect(df).toBeDefined();
|
||||
expect(df.dims).toEqual([3, 2]);
|
||||
expect(df.rowIndex).toBeInstanceOf(Dataframe.IdentityInt32Index);
|
||||
expect(df.colIndex).toBeInstanceOf(Dataframe.IdentityInt32Index);
|
||||
expect(df.at(0, 0)).toEqual(0);
|
||||
expect(df.at(2, 1)).toEqual(1);
|
||||
expect(df.iat(0, 0)).toEqual(0);
|
||||
expect(df.iat(2, 1)).toEqual(1);
|
||||
});
|
||||
|
||||
test("create with labelled indices", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 2],
|
||||
[new Int32Array([0, 1, 2]), new Int32Array([3, 4, 5])],
|
||||
new Dataframe.DenseInt32Index([2, 1, 0]),
|
||||
new Dataframe.KeyIndex(["A", "B"])
|
||||
);
|
||||
|
||||
expect(df).toBeDefined();
|
||||
expect(df.dims).toEqual([3, 2]);
|
||||
|
||||
expect(df.rowIndex).toBeInstanceOf(Dataframe.DenseInt32Index);
|
||||
expect(df.colIndex).toBeInstanceOf(Dataframe.KeyIndex);
|
||||
expect(df.rowIndex.keys()).toEqual(new Int32Array([2, 1, 0]));
|
||||
expect(df.colIndex.keys()).toEqual(["A", "B"]);
|
||||
|
||||
expect(df.at(0, "A")).toEqual(2);
|
||||
expect(df.at(2, "B")).toEqual(3);
|
||||
expect(df.iat(0, 0)).toEqual(0);
|
||||
expect(df.iat(2, 1)).toEqual(5);
|
||||
});
|
||||
});
|
||||
|
||||
describe("simple data access", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[4, 2],
|
||||
[
|
||||
new Float64Array([0.0, Number.NaN, Number.POSITIVE_INFINITY, 3.14159]),
|
||||
["red", "blue", "green", "nan"]
|
||||
],
|
||||
new Dataframe.DenseInt32Index([3, 2, 1, 0]),
|
||||
new Dataframe.KeyIndex(["numbers", "colors"])
|
||||
);
|
||||
|
||||
test("iat", () => {
|
||||
expect(df).toBeDefined();
|
||||
|
||||
// present
|
||||
expect(df.iat(0, 0)).toEqual(0.0);
|
||||
expect(df.iat(0, 1)).toEqual("red");
|
||||
expect(df.iat(1, 0)).toEqual(Number.NaN);
|
||||
expect(df.iat(1, 1)).toEqual("blue");
|
||||
expect(df.iat(2, 0)).toEqual(Number.POSITIVE_INFINITY);
|
||||
expect(df.iat(2, 1)).toEqual("green");
|
||||
expect(df.iat(3, 0)).toEqual(3.14159);
|
||||
expect(df.iat(3, 1)).toEqual("nan");
|
||||
|
||||
// labels out of range have no defined behavior
|
||||
});
|
||||
|
||||
test("at", () => {
|
||||
expect(df).toBeDefined();
|
||||
|
||||
// present
|
||||
expect(df.at(3, "numbers")).toEqual(0.0);
|
||||
expect(df.at(3, "colors")).toEqual("red");
|
||||
expect(df.at(2, "numbers")).toEqual(Number.NaN);
|
||||
expect(df.at(2, "colors")).toEqual("blue");
|
||||
expect(df.at(1, "numbers")).toEqual(Number.POSITIVE_INFINITY);
|
||||
expect(df.at(1, "colors")).toEqual("green");
|
||||
expect(df.at(0, "numbers")).toEqual(3.14159);
|
||||
expect(df.at(0, "colors")).toEqual("nan");
|
||||
|
||||
// labels out of range have no defined behavior
|
||||
});
|
||||
|
||||
test("ihas", () => {
|
||||
expect(df).toBeDefined();
|
||||
|
||||
// present
|
||||
expect(df.ihas(0, 0)).toBeTruthy();
|
||||
expect(df.ihas(1, 1)).toBeTruthy();
|
||||
expect(df.ihas(3, 1)).toBeTruthy();
|
||||
|
||||
// not present
|
||||
expect(df.ihas(-1, -1)).toBeFalsy();
|
||||
expect(df.ihas(0, 99)).toBeFalsy();
|
||||
expect(df.ihas(99, 0)).toBeFalsy();
|
||||
expect(df.ihas(99, 99)).toBeFalsy();
|
||||
expect(df.ihas(-1, 0)).toBeFalsy();
|
||||
expect(df.ihas(0, -1)).toBeFalsy();
|
||||
});
|
||||
|
||||
test("has", () => {
|
||||
expect(df).toBeDefined();
|
||||
|
||||
// present
|
||||
expect(df.has(3, "numbers")).toBeTruthy();
|
||||
expect(df.has(0, "numbers")).toBeTruthy();
|
||||
expect(df.has(3, "colors")).toBeTruthy();
|
||||
expect(df.has(0, "colors")).toBeTruthy();
|
||||
|
||||
// not present
|
||||
expect(df.has(3, "foo")).toBeFalsy();
|
||||
expect(df.has(-1, "numbers")).toBeFalsy();
|
||||
expect(df.has(-1, -1)).toBeFalsy();
|
||||
expect(df.has(null, null)).toBeFalsy();
|
||||
expect(df.has(0, "foo")).toBeFalsy();
|
||||
expect(df.has(99, "numbers")).toBeFalsy();
|
||||
expect(df.has(99, "foo")).toBeFalsy();
|
||||
});
|
||||
});
|
||||
|
||||
describe("dataframe subsetting", () => {
|
||||
describe("subset", () => {
|
||||
const sourceDf = new Dataframe.Dataframe(
|
||||
[3, 4],
|
||||
[
|
||||
new Int32Array([0, 1, 2]),
|
||||
["A", "B", "C"],
|
||||
new Float32Array([4.4, 5.5, 6.6]),
|
||||
["red", "green", "blue"]
|
||||
],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["int32", "string", "float32", "colors"])
|
||||
);
|
||||
|
||||
test("all rows, one column", () => {
|
||||
const dfA = sourceDf.subset(null, ["colors"]);
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([3, 1]);
|
||||
expect(dfA.iat(0, 0)).toEqual("red");
|
||||
expect(dfA.at(2, "colors")).toEqual("blue");
|
||||
expect(dfA.col("colors").asArray()).toEqual(["red", "green", "blue"]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "green", "blue"]);
|
||||
expect(dfA.col("colors").asArray()).toEqual(
|
||||
sourceDf.col("colors").asArray()
|
||||
);
|
||||
expect(dfA.rowIndex.keys()).toEqual(sourceDf.rowIndex.keys());
|
||||
expect(dfA.colIndex.keys()).toEqual(["colors"]);
|
||||
});
|
||||
|
||||
test("all rows, two columns", () => {
|
||||
const dfB = sourceDf.subset(null, ["colors", "float32"]);
|
||||
expect(dfB).toBeDefined();
|
||||
expect(dfB.dims).toEqual([3, 2]);
|
||||
expect(dfB.iat(0, 0)).toBeCloseTo(4.4);
|
||||
expect(dfB.iat(0, 1)).toEqual("red");
|
||||
expect(dfB.at(2, "colors")).toEqual("blue");
|
||||
expect(dfB.at(2, "float32")).toBeCloseTo(6.6);
|
||||
expect(dfB.col("colors").asArray()).toEqual(["red", "green", "blue"]);
|
||||
expect(dfB.col("float32").asArray()).toEqual(
|
||||
new Float32Array([4.4, 5.5, 6.6])
|
||||
);
|
||||
expect(dfB.icol(0).asArray()).toEqual(dfB.col("float32").asArray());
|
||||
expect(dfB.icol(1).asArray()).toEqual(dfB.col("colors").asArray());
|
||||
expect(dfB.col("colors").asArray()).toEqual(
|
||||
sourceDf.col("colors").asArray()
|
||||
);
|
||||
expect(dfB.col("float32").asArray()).toEqual(
|
||||
sourceDf.col("float32").asArray()
|
||||
);
|
||||
expect(dfB.rowIndex.keys()).toEqual(sourceDf.rowIndex.keys());
|
||||
expect(dfB.colIndex.keys()).toEqual(["float32", "colors"]);
|
||||
});
|
||||
|
||||
test("one row, all columns", () => {
|
||||
const dfC = sourceDf.subset([1], null);
|
||||
expect(dfC).toBeDefined();
|
||||
expect(dfC.dims).toEqual([1, 4]);
|
||||
expect(dfC.iat(0, 0)).toEqual(1);
|
||||
expect(dfC.iat(0, 1)).toEqual("B");
|
||||
expect(dfC.iat(0, 2)).toBeCloseTo(5.5);
|
||||
expect(dfC.iat(0, 3)).toEqual("green");
|
||||
expect(dfC.rowIndex.keys()).toEqual(new Int32Array([1]));
|
||||
expect(dfC.colIndex.keys()).toEqual(sourceDf.colIndex.keys());
|
||||
});
|
||||
|
||||
test("two rows, all columns", () => {
|
||||
const dfD = sourceDf.subset([0, 2], null);
|
||||
expect(dfD).toBeDefined();
|
||||
expect(dfD.dims).toEqual([2, 4]);
|
||||
expect(dfD.icol(0).asArray()).toEqual(new Int32Array([0, 2]));
|
||||
expect(dfD.icol(1).asArray()).toEqual(["A", "C"]);
|
||||
expect(dfD.icol(2).asArray()).toEqual(new Float32Array([4.4, 6.6]));
|
||||
expect(dfD.icol(3).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfD.rowIndex.keys()).toEqual(new Int32Array([0, 2]));
|
||||
expect(dfD.colIndex.keys()).toEqual(sourceDf.colIndex.keys());
|
||||
});
|
||||
|
||||
test("all rows, all columns", () => {
|
||||
const dfE = sourceDf.subset(null, null);
|
||||
expect(dfE).toBeDefined();
|
||||
expect(dfE.dims).toEqual([3, 4]);
|
||||
expect(dfE.icol(0).asArray()).toEqual(sourceDf.icol(0).asArray());
|
||||
expect(dfE.icol(1).asArray()).toEqual(sourceDf.icol(1).asArray());
|
||||
expect(dfE.icol(2).asArray()).toEqual(sourceDf.icol(2).asArray());
|
||||
expect(dfE.icol(3).asArray()).toEqual(sourceDf.icol(3).asArray());
|
||||
expect(dfE.rowIndex.keys()).toEqual(sourceDf.rowIndex.keys());
|
||||
expect(dfE.colIndex.keys()).toEqual(sourceDf.colIndex.keys());
|
||||
});
|
||||
|
||||
test("two rows, two colums", () => {
|
||||
const dfF = sourceDf.subset([0, 2], ["int32", "float32"]);
|
||||
expect(dfF).toBeDefined();
|
||||
expect(dfF.dims).toEqual([2, 2]);
|
||||
expect(dfF.icol(0).asArray()).toEqual(new Int32Array([0, 2]));
|
||||
expect(dfF.icol(1).asArray()).toEqual(new Float32Array([4.4, 6.6]));
|
||||
expect(dfF.rowIndex.keys()).toEqual(new Int32Array([0, 2]));
|
||||
expect(dfF.colIndex.keys()).toEqual(["int32", "float32"]);
|
||||
});
|
||||
|
||||
test("withRowIndex", () => {
|
||||
const df = sourceDf.subset(
|
||||
null,
|
||||
["int32", "float32"],
|
||||
new Dataframe.DenseInt32Index([3, 2, 1])
|
||||
);
|
||||
expect(df.colIndex).toBeInstanceOf(Dataframe.KeyIndex);
|
||||
expect(df.rowIndex).toBeInstanceOf(Dataframe.DenseInt32Index);
|
||||
expect(df.at(3, "int32")).toEqual(df.iat(0, 0));
|
||||
});
|
||||
|
||||
test("withRowIndex error checks", () => {
|
||||
expect(() =>
|
||||
sourceDf.subset(null, ["red"], new Dataframe.IdentityInt32Index(1))
|
||||
).toThrow(RangeError);
|
||||
expect(() =>
|
||||
sourceDf.subset(null, ["red"], new Dataframe.DenseInt32Index([0, 1]))
|
||||
).toThrow(RangeError);
|
||||
expect(() =>
|
||||
sourceDf.subset(null, ["red"], new Dataframe.KeyIndex([0, 1, 2, 3]))
|
||||
).toThrow(RangeError);
|
||||
});
|
||||
});
|
||||
|
||||
test("isubsetMask", () => {
|
||||
const sourceDf = new Dataframe.Dataframe(
|
||||
[3, 4],
|
||||
[
|
||||
new Int32Array([0, 1, 2]),
|
||||
["A", "B", "C"],
|
||||
new Float32Array([4.4, 5.5, 6.6]),
|
||||
["red", "green", "blue"]
|
||||
],
|
||||
new Dataframe.DenseInt32Index([2, 4, 6]),
|
||||
new Dataframe.KeyIndex(["int32", "string", "float32", "colors"])
|
||||
);
|
||||
|
||||
const dfA = sourceDf.isubsetMask(
|
||||
new Uint8Array([0, 1, 1]),
|
||||
new Uint8Array([1, 0, 0, 1])
|
||||
);
|
||||
expect(dfA.dims).toEqual([2, 2]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(new Int32Array([1, 2]));
|
||||
expect(dfA.icol(1).asArray()).toEqual(["green", "blue"]);
|
||||
expect(dfA.rowIndex.keys()).toEqual(new Int32Array([4, 6]));
|
||||
expect(dfA.colIndex.keys()).toEqual(["int32", "colors"]);
|
||||
});
|
||||
});
|
||||
|
||||
describe("dataframe factories", () => {
|
||||
test("create", () => {
|
||||
const df = Dataframe.Dataframe.create(
|
||||
[3, 3],
|
||||
[
|
||||
new Array(3).fill(0),
|
||||
new Int16Array(3).fill(99),
|
||||
new Float64Array(3).fill(1.1)
|
||||
]
|
||||
);
|
||||
|
||||
expect(df).toBeDefined();
|
||||
expect(df.dims).toEqual([3, 3]);
|
||||
expect(df).toHaveLength(3);
|
||||
expect(df.iat(0, 0)).toEqual(0);
|
||||
expect(df.iat(1, 1)).toEqual(99);
|
||||
expect(df.iat(2, 2)).toBeCloseTo(1.1);
|
||||
expect(df.iat(0, 0)).toEqual(df.at(0, 0));
|
||||
expect(df.iat(1, 1)).toEqual(df.at(1, 1));
|
||||
expect(df.iat(2, 2)).toEqual(df.at(2, 2));
|
||||
});
|
||||
|
||||
test("clone", () => {
|
||||
const dfA = new Dataframe.Dataframe(
|
||||
[3, 2],
|
||||
[new Int32Array([0, 1, 2]), new Int32Array([3, 4, 5])],
|
||||
new Dataframe.DenseInt32Index([2, 1, 0]),
|
||||
new Dataframe.KeyIndex(["A", "B"])
|
||||
);
|
||||
|
||||
const dfB = dfA.clone();
|
||||
expect(dfB).not.toBe(dfA);
|
||||
expect(dfB.dims).toEqual(dfA.dims);
|
||||
expect(dfB).toHaveLength(dfA.length);
|
||||
expect(dfB.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
expect(dfB.colIndex.keys()).toEqual(dfA.colIndex.keys());
|
||||
for (let i = 0, l = dfB.dims[1]; i < l; i += 1) {
|
||||
expect(dfB.icol(i).asArray()).toEqual(dfA.icol(i).asArray());
|
||||
}
|
||||
});
|
||||
|
||||
describe("withCol", () => {
|
||||
test("KeyIndex", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 2],
|
||||
[["red", "blue"], [true, false]],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["colors", "bools"])
|
||||
);
|
||||
const dfA = df.withCol("numbers", [1, 0]);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 3]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(2).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col("numbers").asArray()).toEqual([1, 0]);
|
||||
expect(dfA.colIndex.keys()).toEqual(["colors", "bools", "numbers"]);
|
||||
expect(df.colIndex.keys()).toEqual(["colors", "bools"]);
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("DenseInt32Index", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 2],
|
||||
[["red", "blue"], [true, false]],
|
||||
null,
|
||||
new Dataframe.DenseInt32Index([74, 75])
|
||||
);
|
||||
const dfA = df.withCol(72, [1, 0]);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 3]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(2).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col(74).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.col(75).asArray()).toEqual([true, false]);
|
||||
expect(dfA.col(72).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([74, 75, 72]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([74, 75]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("DenseInt32Index promote", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 2],
|
||||
[["red", "blue"], [true, false]],
|
||||
null,
|
||||
new Dataframe.DenseInt32Index([74, 75])
|
||||
);
|
||||
const dfA = df.withCol(999, [1, 0]);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 3]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(2).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col(74).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.col(75).asArray()).toEqual([true, false]);
|
||||
expect(dfA.col(999).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([74, 75, 999]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([74, 75]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("IdentityInt32Index with last", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 2],
|
||||
[["red", "blue"], [true, false]],
|
||||
null,
|
||||
null
|
||||
);
|
||||
const dfA = df.withCol(2, [1, 0]);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 3]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(2).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.col(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.col(2).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([0, 1, 2]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([0, 1]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("IdentityInt32Index promote", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 2],
|
||||
[["red", "blue"], [true, false]],
|
||||
null,
|
||||
null
|
||||
);
|
||||
const dfA = df.withCol(99, [1, 0]);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 3]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(2).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.col(1).asArray()).toEqual([true, false]);
|
||||
expect(dfA.col(99).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([0, 1, 99]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([0, 1]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
describe("handle column dimensions correctly", () => {
|
||||
/*
|
||||
there are two conditions:
|
||||
- empty dataframe - will accept an add of any dimensionality
|
||||
- non-empty dataframe - added column must match row-count dimension
|
||||
*/
|
||||
test("empty.withCol", () => {
|
||||
const edf = Dataframe.Dataframe.empty();
|
||||
const df = edf.withCol("foo", [1, 2, 3]);
|
||||
|
||||
expect(edf).toBeDefined();
|
||||
expect(df).toBeDefined();
|
||||
expect(edf).not.toEqual(df);
|
||||
expect(df.dims).toEqual([3, 1]);
|
||||
expect(df.icol(0).asArray()).toEqual([1, 2, 3]);
|
||||
});
|
||||
|
||||
test("withCol dimension check", () => {
|
||||
const dfA = new Dataframe.Dataframe([1, 1], [["a"]]);
|
||||
expect(() => {
|
||||
dfA.withCol(1, []);
|
||||
}).toThrow(RangeError);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe("dropCol", () => {
|
||||
test("KeyIndex", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 3],
|
||||
[["red", "blue"], [true, false], [1, 0]],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["colors", "bools", "numbers"])
|
||||
);
|
||||
const dfA = df.dropCol("colors");
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 2]);
|
||||
expect(dfA.icol(0).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col("numbers").asArray()).toEqual([1, 0]);
|
||||
expect(dfA.colIndex.keys()).toEqual(["bools", "numbers"]);
|
||||
expect(df.colIndex.keys()).toEqual(["colors", "bools", "numbers"]);
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("IdentityInt32Index drop first", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 3],
|
||||
[["red", "blue"], [true, false], [1, 0]],
|
||||
null,
|
||||
null
|
||||
);
|
||||
const dfA = df.dropCol(0);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 2]);
|
||||
expect(dfA.icol(0).asArray()).toEqual([true, false]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([1, 0]);
|
||||
expect(df.col(1).asArray()).toEqual(dfA.col(1).asArray());
|
||||
expect(df.col(2).asArray()).toEqual(dfA.col(2).asArray());
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([1, 2]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([0, 1, 2]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("IdentityInt32Index drop last", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 3],
|
||||
[["red", "blue"], [true, false], [1, 0]],
|
||||
null,
|
||||
null
|
||||
);
|
||||
const dfA = df.dropCol(2);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 2]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([true, false]);
|
||||
expect(df.col(0).asArray()).toEqual(dfA.col(0).asArray());
|
||||
expect(df.col(1).asArray()).toEqual(dfA.col(1).asArray());
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([0, 1]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([0, 1, 2]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
|
||||
test("DenseInt32Index", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[2, 3],
|
||||
[["red", "blue"], [true, false], [1, 0]],
|
||||
null,
|
||||
new Dataframe.DenseInt32Index([102, 101, 100])
|
||||
);
|
||||
const dfA = df.dropCol(101);
|
||||
|
||||
expect(dfA).toBeDefined();
|
||||
expect(dfA.dims).toEqual([2, 2]);
|
||||
expect(dfA.icol(0).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.icol(1).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col(100).asArray()).toEqual([1, 0]);
|
||||
expect(dfA.col(102).asArray()).toEqual(["red", "blue"]);
|
||||
expect(dfA.colIndex.keys()).toEqual(new Int32Array([102, 100]));
|
||||
expect(df.colIndex.keys()).toEqual(new Int32Array([102, 101, 100]));
|
||||
expect(df.rowIndex.keys()).toEqual(dfA.rowIndex.keys());
|
||||
});
|
||||
});
|
||||
|
||||
describe("mapColumns", () => {
|
||||
test("identity", () => {
|
||||
const dfA = Dataframe.Dataframe.create(
|
||||
[3, 3],
|
||||
[
|
||||
new Array(3).fill(0),
|
||||
new Int16Array(3).fill(99),
|
||||
new Float64Array(3).fill(1.1)
|
||||
]
|
||||
);
|
||||
const dfB = dfA.mapColumns((col, idx) => {
|
||||
expect(dfA.icol(idx).asArray()).toBe(col);
|
||||
return col;
|
||||
});
|
||||
expect(dfA).not.toBe(dfB);
|
||||
expect(dfA.dims).toEqual(dfB.dims);
|
||||
for (let c = 0; c < dfA.dims[1]; c += 1) {
|
||||
expect(dfA.icol(c).asArray()).toBe(dfB.icol(c).asArray());
|
||||
}
|
||||
});
|
||||
|
||||
test("transform", () => {
|
||||
const dfA = Dataframe.Dataframe.create(
|
||||
[3, 3],
|
||||
[new Array(3).fill(0), new Array(3).fill(0), new Array(3).fill(0)]
|
||||
);
|
||||
const dfB = dfA.mapColumns(() => {
|
||||
return new Array(3).fill(1);
|
||||
});
|
||||
expect(dfA).not.toBe(dfB);
|
||||
expect(dfB.iat(0, 0)).toEqual(1);
|
||||
expect(dfB.iat(0, 1)).toEqual(1);
|
||||
expect(dfB.iat(0, 2)).toEqual(1);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe("dataframe col", () => {
|
||||
let df = null;
|
||||
beforeEach(() => {
|
||||
df = new Dataframe.Dataframe(
|
||||
[2, 2],
|
||||
[[true, false], [1, 0]],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["A", "B"])
|
||||
);
|
||||
});
|
||||
|
||||
test("col", () => {
|
||||
expect(df).toBeDefined();
|
||||
expect(df.col("A")).toBe(df.icol(0));
|
||||
expect(df.col("B")).toBe(df.icol(1));
|
||||
expect(df.col("undefined")).toBeUndefined();
|
||||
expect(df.icol("undefined")).toBeUndefined();
|
||||
|
||||
const colA = df.col("A");
|
||||
expect(colA).toBeInstanceOf(Function);
|
||||
expect(colA.asArray).toBeInstanceOf(Function);
|
||||
expect(colA.has).toBeInstanceOf(Function);
|
||||
expect(colA.ihas).toBeInstanceOf(Function);
|
||||
expect(colA.indexOf).toBeInstanceOf(Function);
|
||||
expect(colA.iget).toBeInstanceOf(Function);
|
||||
});
|
||||
|
||||
test("col.asArray", () => {
|
||||
expect(df).toBeDefined();
|
||||
expect(df.col("A").asArray()).toEqual([true, false]);
|
||||
expect(df.icol(0).asArray()).toEqual([true, false]);
|
||||
expect(df.col("B").asArray()).toEqual([1, 0]);
|
||||
expect(df.icol(1).asArray()).toEqual([1, 0]);
|
||||
});
|
||||
|
||||
test("col.has", () => {
|
||||
expect(df).toBeDefined();
|
||||
expect(df.col("A").has(-1)).toBe(false);
|
||||
expect(df.col("A").has(0)).toBe(true);
|
||||
expect(df.col("A").has(1)).toBe(true);
|
||||
expect(df.col("A").has(2)).toBe(false);
|
||||
expect(df.col("B").has(-1)).toBe(false);
|
||||
expect(df.col("B").has(0)).toBe(true);
|
||||
expect(df.col("B").has(1)).toBe(true);
|
||||
expect(df.col("B").has(2)).toBe(false);
|
||||
});
|
||||
|
||||
test("col.ihas", () => {
|
||||
expect(df).toBeDefined();
|
||||
expect(df.col("A").ihas(-1)).toBe(false);
|
||||
expect(df.col("A").ihas(0)).toBe(true);
|
||||
expect(df.col("A").ihas(1)).toBe(true);
|
||||
expect(df.col("A").ihas(2)).toBe(false);
|
||||
expect(df.col("B").ihas(-1)).toBe(false);
|
||||
expect(df.col("B").ihas(0)).toBe(true);
|
||||
expect(df.col("B").ihas(1)).toBe(true);
|
||||
expect(df.col("B").ihas(2)).toBe(false);
|
||||
});
|
||||
|
||||
test("col.iget", () => {
|
||||
expect(df).toBeDefined();
|
||||
expect(df.col("A").iget(0)).toEqual(df.iat(0, 0));
|
||||
expect(df.col("B").iget(1)).toEqual(df.iat(1, 1));
|
||||
});
|
||||
|
||||
test("col.indexOf", () => {
|
||||
expect(df).toBeDefined();
|
||||
expect(df.col("A").indexOf(true)).toEqual(0);
|
||||
expect(df.col("A").indexOf(false)).toEqual(1);
|
||||
expect(df.col("A").indexOf(99)).toBeUndefined();
|
||||
expect(df.col("A").indexOf(undefined)).toBeUndefined();
|
||||
expect(df.col("A").indexOf(1)).toBeUndefined();
|
||||
|
||||
expect(df.col("B").indexOf(1)).toEqual(0);
|
||||
expect(df.col("B").indexOf(0)).toEqual(1);
|
||||
expect(df.col("B").indexOf(99)).toBeUndefined();
|
||||
expect(df.col("B").indexOf(undefined)).toBeUndefined();
|
||||
expect(df.col("B").indexOf(true)).toBeUndefined();
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,69 @@
|
||||
import * as Dataframe from "../../../src/util/dataframe";
|
||||
|
||||
describe("Dataframe column histogram", () => {
|
||||
test("categorical by categorical", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 3],
|
||||
[["n1", "n2", "n3"], ["c1", "c2", "c3"], new Int32Array([0, 1, 2])],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["name", "cat", "value"])
|
||||
);
|
||||
|
||||
const h1 = df.col("cat").histogram(df.col("name"));
|
||||
expect(h1).toMatchObject(
|
||||
new Map([
|
||||
["n1", new Map([["c1", 1]])],
|
||||
["n2", new Map([["c2", 1]])],
|
||||
["n3", new Map([["c3", 1]])]
|
||||
])
|
||||
);
|
||||
// memoized?
|
||||
expect(df.col("cat").histogram(df.col("name"))).toMatchObject(h1);
|
||||
});
|
||||
|
||||
test("continuous by categorical", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 3],
|
||||
[["n1", "n2", "n3"], ["c1", "c2", "c3"], new Int32Array([0, 1, 2])],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["name", "cat", "value"])
|
||||
);
|
||||
|
||||
const h1 = df.col("value").histogram(3, [0, 2], df.col("name"));
|
||||
expect(h1).toMatchObject(
|
||||
new Map([["n1", [1, 0, 0]], ["n2", [0, 1, 0]], ["n3", [0, 0, 1]]])
|
||||
);
|
||||
// memoized?
|
||||
expect(df.col("value").histogram(3, [0, 2], df.col("name"))).toMatchObject(
|
||||
h1
|
||||
);
|
||||
});
|
||||
|
||||
test("categorical", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 3],
|
||||
[["n1", "n2", "n3"], ["c1", "c2", "c3"], new Int32Array([0, 1, 2])],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["name", "cat", "value"])
|
||||
);
|
||||
|
||||
const h1 = df.col("cat").histogram();
|
||||
expect(h1).toMatchObject(new Map([["c1", 1], ["c2", 1], ["c3", 1]]));
|
||||
// memoized?
|
||||
expect(df.col("value").histogram(3, [0, 2])).toMatchObject(h1);
|
||||
});
|
||||
|
||||
test("continuous", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 3],
|
||||
[["n1", "n2", "n3"], ["c1", "c2", "c3"], new Int32Array([0, 1, 2])],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["name", "cat", "value"])
|
||||
);
|
||||
|
||||
const h1 = df.col("value").histogram(3, [0, 2]);
|
||||
expect(h1).toMatchObject([1, 1, 1]);
|
||||
// memoized?
|
||||
expect(df.col("value").histogram(3, [0, 2])).toMatchObject(h1);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,253 @@
|
||||
import * as Dataframe from "../../../src/util/dataframe";
|
||||
|
||||
function float32Conversion(f) {
|
||||
return new Float32Array([f])[0];
|
||||
}
|
||||
|
||||
describe("Dataframe column summary", () => {
|
||||
test("empty column test", () => {
|
||||
const df = Dataframe.Dataframe.create([0, 1], [[]]);
|
||||
const summary = df.icol(0).summarize();
|
||||
expect(summary).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: [],
|
||||
categoryCounts: new Map(),
|
||||
numCategories: 0
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
test("simple test", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[1, 6],
|
||||
[
|
||||
["n1"],
|
||||
["hi"],
|
||||
[true],
|
||||
new Float32Array([39.3]),
|
||||
new Int32Array([99]),
|
||||
[1]
|
||||
],
|
||||
null,
|
||||
new Dataframe.KeyIndex([
|
||||
"name",
|
||||
"nameString",
|
||||
"nameBoolean",
|
||||
"nameFloat32",
|
||||
"nameInt32",
|
||||
"nameCategorical"
|
||||
])
|
||||
);
|
||||
|
||||
expect(df.icol(0).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: ["n1"],
|
||||
categoryCounts: new Map([["n1", 1]]),
|
||||
numCategories: 1
|
||||
})
|
||||
);
|
||||
expect(df.icol(1).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: ["hi"],
|
||||
categoryCounts: new Map([["hi", 1]]),
|
||||
numCategories: 1
|
||||
})
|
||||
);
|
||||
expect(df.icol(2).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: [true],
|
||||
categoryCounts: new Map([[true, 1]]),
|
||||
numCategories: 1
|
||||
})
|
||||
);
|
||||
expect(df.icol(3).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: false,
|
||||
min: float32Conversion(39.3),
|
||||
max: float32Conversion(39.3),
|
||||
nan: 0,
|
||||
ninf: 0,
|
||||
pinf: 0
|
||||
})
|
||||
);
|
||||
expect(df.icol(4).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: false,
|
||||
min: 99,
|
||||
max: 99,
|
||||
nan: 0,
|
||||
ninf: 0,
|
||||
pinf: 0
|
||||
})
|
||||
);
|
||||
expect(df.icol(5).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: [1],
|
||||
categoryCounts: new Map([[1, 1]]),
|
||||
numCategories: 1
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
test("multi test", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 6],
|
||||
[
|
||||
["n0", "n1", "n2"],
|
||||
["hi", "hi", "bye"],
|
||||
[false, true, true],
|
||||
new Float32Array([39.3, 39.3, 0]),
|
||||
new Int32Array([99, 99, 99]),
|
||||
[1, false, "0"]
|
||||
],
|
||||
null,
|
||||
new Dataframe.KeyIndex([
|
||||
"name",
|
||||
"nameString",
|
||||
"nameBoolean",
|
||||
"nameFloat32",
|
||||
"nameInt32",
|
||||
"nameCategorical"
|
||||
])
|
||||
);
|
||||
|
||||
expect(df.icol(0).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining(["n0", "n1", "n2"]),
|
||||
categoryCounts: new Map([["n0", 1], ["n1", 1], ["n2", 1]]),
|
||||
numCategories: 3
|
||||
})
|
||||
);
|
||||
expect(df.icol(1).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining(["hi", "bye"]),
|
||||
categoryCounts: new Map([["hi", 2], ["bye", 1]]),
|
||||
numCategories: 2
|
||||
})
|
||||
);
|
||||
expect(df.icol(2).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining([true, false]),
|
||||
categoryCounts: new Map([[true, 2], [false, 1]]),
|
||||
numCategories: 2
|
||||
})
|
||||
);
|
||||
expect(df.icol(3).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: false,
|
||||
min: 0,
|
||||
max: float32Conversion(39.3),
|
||||
nan: 0,
|
||||
ninf: 0,
|
||||
pinf: 0
|
||||
})
|
||||
);
|
||||
expect(df.icol(4).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: false,
|
||||
min: 99,
|
||||
max: 99,
|
||||
nan: 0,
|
||||
ninf: 0,
|
||||
pinf: 0
|
||||
})
|
||||
);
|
||||
expect(df.icol(5).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining([1, false, "0"]),
|
||||
categoryCounts: new Map([[1, 1], [false, 1], ["0", 1]]),
|
||||
numCategories: 3
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
test("non-finite numbers", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[4, 6],
|
||||
[
|
||||
["n0", "n1", "n2", "n2"],
|
||||
["hi", "hi", "bye", "bye"],
|
||||
[false, true, true, true],
|
||||
new Float32Array([
|
||||
39.3,
|
||||
Number.NEGATIVE_INFINITY,
|
||||
Number.NaN,
|
||||
Number.POSITIVE_INFINITY
|
||||
]),
|
||||
new Int32Array([99, 99, 99, 99]),
|
||||
[1, false, "0", "0"]
|
||||
],
|
||||
null,
|
||||
new Dataframe.KeyIndex([
|
||||
"name",
|
||||
"nameString",
|
||||
"nameBoolean",
|
||||
"nameFloat32",
|
||||
"nameInt32",
|
||||
"nameCategorical"
|
||||
])
|
||||
);
|
||||
|
||||
expect(df.icol(0).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining(["n0", "n1", "n2"]),
|
||||
categoryCounts: new Map([["n0", 1], ["n1", 1], ["n2", 2]]),
|
||||
numCategories: 3
|
||||
})
|
||||
);
|
||||
expect(df.icol(1).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining(["hi", "bye"]),
|
||||
categoryCounts: new Map([["hi", 2], ["bye", 1]]),
|
||||
numCategories: 2
|
||||
})
|
||||
);
|
||||
expect(df.icol(2).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining([true, false]),
|
||||
categoryCounts: new Map([[true, 2], [false, 1]]),
|
||||
numCategories: 2
|
||||
})
|
||||
);
|
||||
expect(df.icol(3).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: false,
|
||||
min: float32Conversion(39.3),
|
||||
max: float32Conversion(39.3),
|
||||
nan: 1,
|
||||
ninf: 1,
|
||||
pinf: 1
|
||||
})
|
||||
);
|
||||
expect(df.icol(4).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: false,
|
||||
min: 99,
|
||||
max: 99,
|
||||
nan: 0,
|
||||
ninf: 0,
|
||||
pinf: 0
|
||||
})
|
||||
);
|
||||
expect(df.icol(5).summarize()).toEqual(
|
||||
expect.objectContaining({
|
||||
categorical: true,
|
||||
categories: expect.arrayContaining([1, false, "0"]),
|
||||
categoryCounts: new Map([[1, 1], [false, 1], ["0", 1]]),
|
||||
numCategories: 3
|
||||
})
|
||||
);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,68 @@
|
||||
/*
|
||||
Test cases for nameCreators.js.
|
||||
*/
|
||||
import {
|
||||
layoutDimensionName,
|
||||
obsAnnoDimensionName,
|
||||
diffexpDimensionName,
|
||||
userDefinedDimensionName,
|
||||
makeContinuousDimensionName
|
||||
} from "../../src/util/nameCreators";
|
||||
|
||||
describe("nameCreators", () => {
|
||||
const nameCreators = [
|
||||
layoutDimensionName,
|
||||
obsAnnoDimensionName,
|
||||
diffexpDimensionName,
|
||||
userDefinedDimensionName
|
||||
];
|
||||
|
||||
test("check for namespace isolation", () => {
|
||||
const foo = "foo";
|
||||
nameCreators.forEach(fn => expect(fn(foo)).not.toBe(foo));
|
||||
|
||||
const bar = "bar";
|
||||
nameCreators.forEach(fn => expect(fn(foo)).not.toBe(fn(bar)));
|
||||
|
||||
nameCreators.forEach(fn => {
|
||||
const allOtherFn = nameCreators.filter(elmnt => elmnt !== fn);
|
||||
allOtherFn.forEach(otherFn => expect(fn(foo)).not.toBe(otherFn(foo)));
|
||||
});
|
||||
});
|
||||
|
||||
test("check for legal keys", () => {
|
||||
/* need namespace creators to return strings only */
|
||||
nameCreators.forEach(fn => expect(fn("X")).toMatch(/X/));
|
||||
});
|
||||
});
|
||||
|
||||
describe("makeContinuousDimensionName", () => {
|
||||
test("namespaces", () => {
|
||||
expect(makeContinuousDimensionName({ isObs: true }, "OK")).toMatch(/OK/);
|
||||
expect(makeContinuousDimensionName({ isDiffExp: true }, "OK")).toMatch(
|
||||
/OK/
|
||||
);
|
||||
expect(makeContinuousDimensionName({ isUserDefined: true }, "OK")).toMatch(
|
||||
/OK/
|
||||
);
|
||||
});
|
||||
|
||||
test("error handling", () => {
|
||||
expect(() => makeContinuousDimensionName({}, "oops")).toThrow();
|
||||
expect(() =>
|
||||
makeContinuousDimensionName(
|
||||
{ isObs: false, isDiffExp: false, isUserDefined: false },
|
||||
"oops"
|
||||
)
|
||||
).toThrow();
|
||||
expect(() =>
|
||||
makeContinuousDimensionName({ isObs: true }, "OK")
|
||||
).not.toThrow();
|
||||
expect(() =>
|
||||
makeContinuousDimensionName({ isDiffExp: true }, "OK")
|
||||
).not.toThrow();
|
||||
expect(() =>
|
||||
makeContinuousDimensionName({ isUserDefined: true }, "OK")
|
||||
).not.toThrow();
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,29 @@
|
||||
import quantile from "../../src/util/quantile";
|
||||
|
||||
describe("quantile", () => {
|
||||
test("single q", () => {
|
||||
const arr = new Float32Array([9, 3, 5, 6, 0]);
|
||||
expect(quantile([1.0], arr)).toMatchObject([9]);
|
||||
expect(quantile([0.9], arr)).toMatchObject([9]);
|
||||
expect(quantile([0.8], arr)).toMatchObject([9]);
|
||||
expect(quantile([0.7], arr)).toMatchObject([6]);
|
||||
expect(quantile([0.6], arr)).toMatchObject([6]);
|
||||
expect(quantile([0.5], arr)).toMatchObject([5]);
|
||||
expect(quantile([0.4], arr)).toMatchObject([5]);
|
||||
expect(quantile([0.3], arr)).toMatchObject([3]);
|
||||
expect(quantile([0.2], arr)).toMatchObject([3]);
|
||||
expect(quantile([0.1], arr)).toMatchObject([0]);
|
||||
expect(quantile([0], arr)).toMatchObject([0]);
|
||||
});
|
||||
|
||||
test("multi q", () => {
|
||||
const arr = new Float32Array([9, 3, 5, 6, 0]);
|
||||
expect(quantile([0, 0.25, 0.5, 0.75, 1.0], arr)).toMatchObject([
|
||||
0,
|
||||
3,
|
||||
5,
|
||||
6,
|
||||
9
|
||||
]);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,42 @@
|
||||
import { range, rangeFill } from "../../src/util/range";
|
||||
|
||||
describe("range", () => {
|
||||
test("no defaults", () => {
|
||||
expect(range(0, 3, 1)).toMatchObject([0, 1, 2]);
|
||||
});
|
||||
|
||||
test("range(stop)", () => {
|
||||
expect(range(3)).toMatchObject([0, 1, 2]);
|
||||
expect(range(0)).toMatchObject([]);
|
||||
expect(range(1)).toMatchObject([0]);
|
||||
});
|
||||
|
||||
test("range(start,stop)", () => {
|
||||
expect(range(0, 0)).toMatchObject([]);
|
||||
expect(range(0, 2)).toMatchObject([0, 1]);
|
||||
expect(range(4, 8)).toMatchObject([4, 5, 6, 7]);
|
||||
});
|
||||
|
||||
test("range(start, stop, step", () => {
|
||||
expect(range(4, 0, -1)).toMatchObject([4, 3, 2, 1]);
|
||||
expect(range(0, 4, 2)).toMatchObject([0, 2]);
|
||||
});
|
||||
});
|
||||
|
||||
describe("rangefill", () => {
|
||||
test("rangeFill(arr)", () => {
|
||||
expect(rangeFill(new Int32Array(3))).toMatchObject(
|
||||
new Int32Array([0, 1, 2])
|
||||
);
|
||||
});
|
||||
test("rangeFill(arr, start)", () => {
|
||||
expect(rangeFill(new Int32Array(2), 1)).toMatchObject(
|
||||
new Int32Array([1, 2])
|
||||
);
|
||||
});
|
||||
test("rangeFill(arr, start, step)", () => {
|
||||
expect(rangeFill(new Int32Array(3), 2, -1)).toMatchObject(
|
||||
new Int32Array([2, 1, 0])
|
||||
);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,193 @@
|
||||
/* eslint no-bitwise: "off" */
|
||||
import _ from "lodash";
|
||||
import { flatbuffers } from "flatbuffers";
|
||||
import { NetEncoding } from "../../../src/util/stateManager/matrix_generated";
|
||||
|
||||
/*
|
||||
test data mocking REST 0.2 API responses. Used in several tests.
|
||||
*/
|
||||
const nObs = 10;
|
||||
const nVar = 32;
|
||||
const field4Categories = [83, true, "foo", 2.222222];
|
||||
const fieldDCategories = [99, false, "mumble", 3.1415];
|
||||
|
||||
const aConfigResponse = {
|
||||
config: {
|
||||
features: [
|
||||
{ method: "POST", path: "/cluster/", available: false },
|
||||
{ method: "POST", path: "/layout/", available: false },
|
||||
{ method: "POST", path: "/diffexp/", available: false },
|
||||
{ method: "POST", path: "/saveLocal/", available: false }
|
||||
],
|
||||
displayNames: {
|
||||
engine: "the little engine that could",
|
||||
dataset: "all your zeros are mine"
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const aSchemaResponse = {
|
||||
schema: {
|
||||
dataframe: {
|
||||
nObs,
|
||||
nVar,
|
||||
type: "float32"
|
||||
},
|
||||
annotations: {
|
||||
obs: {
|
||||
index: "name",
|
||||
columns: [
|
||||
{ name: "name", type: "string" },
|
||||
{ name: "field1", type: "int32" },
|
||||
{ name: "field2", type: "float32" },
|
||||
{ name: "field3", type: "boolean" },
|
||||
{
|
||||
name: "field4",
|
||||
type: "categorical",
|
||||
categories: field4Categories
|
||||
}
|
||||
]
|
||||
},
|
||||
var: {
|
||||
index: "name",
|
||||
columns: [
|
||||
{ name: "name", type: "string" },
|
||||
{ name: "fieldA", type: "int32" },
|
||||
{ name: "fieldB", type: "float32" },
|
||||
{ name: "fieldC", type: "boolean" },
|
||||
{
|
||||
name: "fieldD",
|
||||
type: "categorical",
|
||||
categories: fieldDCategories
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
layout: {
|
||||
obs: [{ name: "umap", type: "float32", dims: ["umap_0", "umap_1"] }],
|
||||
var: []
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const anAnnotationsObsJSONResponse = {
|
||||
names: ["name", "field1", "field2", "field3", "field4"],
|
||||
data: _()
|
||||
.range(nObs)
|
||||
.map(idx => [
|
||||
idx,
|
||||
`obs${idx}`,
|
||||
2 * idx,
|
||||
idx + 0.0133,
|
||||
!!(idx & 1),
|
||||
field4Categories[idx % field4Categories.length]
|
||||
])
|
||||
.value()
|
||||
};
|
||||
|
||||
const anAnnotationsVarJSONResponse = {
|
||||
names: ["fieldA", "fieldB", "fieldC", "fieldD", "name"],
|
||||
data: _()
|
||||
.range(nVar)
|
||||
.map(idx => [
|
||||
idx,
|
||||
10 * idx,
|
||||
idx + 2.90143,
|
||||
!!(idx & 1),
|
||||
fieldDCategories[idx % fieldDCategories.length],
|
||||
`var${idx}`
|
||||
])
|
||||
.value()
|
||||
};
|
||||
|
||||
function encodeTypedArray(builder, uType, uData) {
|
||||
const uTypeName = NetEncoding.TypedArray[uType];
|
||||
const ArrayType = NetEncoding[uTypeName];
|
||||
const dv = ArrayType.createDataVector(builder, uData);
|
||||
builder.startObject(1);
|
||||
builder.addFieldOffset(0, dv, 0);
|
||||
return builder.endObject();
|
||||
}
|
||||
|
||||
function encodeMatrix(columns, colIndex = undefined) {
|
||||
const utf8Encoder = new TextEncoder("utf-8");
|
||||
const builder = new flatbuffers.Builder(1024);
|
||||
const cols = _.map(columns, carr => {
|
||||
let uType;
|
||||
let tarr;
|
||||
if (_.every(carr, _.isNumber)) {
|
||||
uType = NetEncoding.TypedArray.Float32Array;
|
||||
tarr = encodeTypedArray(builder, uType, new Float32Array(carr));
|
||||
} else {
|
||||
uType = NetEncoding.TypedArray.JSONEncodedArray;
|
||||
const json = JSON.stringify(carr);
|
||||
const jsonUTF8 = utf8Encoder.encode(json);
|
||||
tarr = encodeTypedArray(builder, uType, jsonUTF8);
|
||||
}
|
||||
NetEncoding.Column.startColumn(builder);
|
||||
NetEncoding.Column.addUType(builder, uType);
|
||||
NetEncoding.Column.addU(builder, tarr);
|
||||
return NetEncoding.Column.endColumn(builder);
|
||||
});
|
||||
|
||||
const encColumns = NetEncoding.Matrix.createColumnsVector(builder, cols);
|
||||
|
||||
let encColIndex;
|
||||
if (colIndex) {
|
||||
encColIndex = encodeTypedArray(
|
||||
builder,
|
||||
NetEncoding.TypedArray.JSONEncodedArray,
|
||||
utf8Encoder.encode(JSON.stringify(colIndex))
|
||||
);
|
||||
}
|
||||
|
||||
NetEncoding.Matrix.startMatrix(builder);
|
||||
NetEncoding.Matrix.addNRows(builder, columns[0].length);
|
||||
NetEncoding.Matrix.addNCols(builder, columns.length);
|
||||
NetEncoding.Matrix.addColumns(builder, encColumns);
|
||||
if (colIndex) {
|
||||
NetEncoding.Matrix.addColIndexType(
|
||||
builder,
|
||||
NetEncoding.TypedArray.JSONEncodedArray
|
||||
);
|
||||
NetEncoding.Matrix.addColIndex(builder, encColIndex);
|
||||
}
|
||||
const root = NetEncoding.Matrix.endMatrix(builder);
|
||||
builder.finish(root);
|
||||
return builder.asUint8Array();
|
||||
}
|
||||
|
||||
const anAnnotationsObsFBSResponse = (() => {
|
||||
const columns = _.zip(...anAnnotationsObsJSONResponse.data).slice(1);
|
||||
return encodeMatrix(columns, anAnnotationsObsJSONResponse.names);
|
||||
})();
|
||||
|
||||
const anAnnotationsVarFBSResponse = (() => {
|
||||
const columns = _.zip(...anAnnotationsVarJSONResponse.data).slice(1);
|
||||
return encodeMatrix(columns, anAnnotationsVarJSONResponse.names);
|
||||
})();
|
||||
|
||||
const aLayoutFBSResponse = (() => {
|
||||
const coords = [
|
||||
new Float32Array(nObs).fill(Math.random()),
|
||||
new Float32Array(nObs).fill(Math.random())
|
||||
];
|
||||
return encodeMatrix(coords, ["umap_0", "umap_1"]);
|
||||
})();
|
||||
|
||||
const aDataObsResponse = {
|
||||
var: [2, 4, 29],
|
||||
obs: _()
|
||||
.range(nObs)
|
||||
.map(idx => [idx, Math.random(), Math.random(), Math.random()])
|
||||
.value()
|
||||
};
|
||||
|
||||
export {
|
||||
aLayoutFBSResponse as layoutObs,
|
||||
aDataObsResponse as dataObs,
|
||||
anAnnotationsVarFBSResponse as annotationsVar,
|
||||
anAnnotationsObsFBSResponse as annotationsObs,
|
||||
aSchemaResponse as schema,
|
||||
aConfigResponse as config
|
||||
};
|
||||
@@ -0,0 +1,68 @@
|
||||
import * as Universe from "../../../src/util/stateManager/universe";
|
||||
import * as Dataframe from "../../../src/util/dataframe";
|
||||
import * as REST from "./sampleResponses";
|
||||
|
||||
describe("createUniverseFromResponse", () => {
|
||||
/*
|
||||
test createUniverseFromResponse - this function converts
|
||||
a set of REST 0.2 responses into a "new" Universe.
|
||||
|
||||
createUniverseFromResponse(
|
||||
configResponse,
|
||||
schemaResponse,
|
||||
annotationsObsResponse,
|
||||
annotationsVarResponse,
|
||||
layoutObsResponse
|
||||
) --> Universe
|
||||
|
||||
where:
|
||||
configResponse: GET /.../config
|
||||
schemaResponse: GET /.../schema
|
||||
annotationsObsResponse: GET /.../annotations/obs
|
||||
annotationsVarResponse: GET /.../annotations/var
|
||||
layoutObsResponse: GET /.../layout/obs
|
||||
|
||||
See spec in docs/REST_API.md.
|
||||
*/
|
||||
|
||||
test("create from test data", () => {
|
||||
/*
|
||||
create a universe from sample data nad validate its shape & contents
|
||||
*/
|
||||
const { nObs, nVar } = REST.schema.schema.dataframe;
|
||||
const universe = Universe.createUniverseFromResponse(
|
||||
REST.config,
|
||||
REST.schema,
|
||||
REST.annotationsObs,
|
||||
REST.annotationsVar,
|
||||
REST.layoutObs
|
||||
);
|
||||
|
||||
expect(universe).toBeDefined();
|
||||
expect(universe).toMatchObject(
|
||||
expect.objectContaining({
|
||||
nObs,
|
||||
nVar,
|
||||
schema: REST.schema.schema,
|
||||
obsAnnotations: expect.any(Dataframe.Dataframe),
|
||||
varAnnotations: expect.any(Dataframe.Dataframe),
|
||||
obsLayout: expect.any(Dataframe.Dataframe),
|
||||
varData: expect.any(Dataframe.Dataframe)
|
||||
})
|
||||
);
|
||||
|
||||
expect(universe.obsAnnotations.dims).toEqual([
|
||||
nObs,
|
||||
REST.schema.schema.annotations.obs.columns.length
|
||||
]);
|
||||
expect(universe.obsLayout.dims).toEqual([nObs, 2]);
|
||||
expect(universe.obsLayout.colIndex.keys()).toEqual(
|
||||
universe.schema.layout.obs[0].dims
|
||||
);
|
||||
expect(universe.varAnnotations.dims).toEqual([
|
||||
nVar,
|
||||
REST.schema.schema.annotations.var.columns.length
|
||||
]);
|
||||
expect(universe.varData.isEmpty()).toBeTruthy();
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,190 @@
|
||||
import _ from "lodash";
|
||||
import * as Universe from "../../../src/util/stateManager/universe";
|
||||
import * as World from "../../../src/util/stateManager/world";
|
||||
import * as Dataframe from "../../../src/util/dataframe";
|
||||
import Crossfilter from "../../../src/util/typedCrossfilter";
|
||||
import { DimTypes } from "../../../src/util/typedCrossfilter/crossfilter";
|
||||
import * as REST from "./sampleResponses";
|
||||
import {
|
||||
obsAnnoDimensionName,
|
||||
layoutDimensionName
|
||||
} from "../../../src/util/nameCreators";
|
||||
|
||||
/*
|
||||
Helper - creates universe, world, corssfilter and dimensionMap from
|
||||
the default REST test response.
|
||||
*/
|
||||
const defaultBigBang = () => {
|
||||
/* create unverse, world, crossfilter and dimensionMap */
|
||||
/* create universe */
|
||||
const universe = Universe.createUniverseFromResponse(
|
||||
REST.config,
|
||||
REST.schema,
|
||||
REST.annotationsObs,
|
||||
REST.annotationsVar,
|
||||
REST.layoutObs
|
||||
);
|
||||
/* create world */
|
||||
const world = World.createWorldFromEntireUniverse(universe);
|
||||
/* create crossfilter */
|
||||
const crossfilter = World.createObsDimensions(
|
||||
new Crossfilter(world.obsAnnotations),
|
||||
world,
|
||||
REST.schema.schema.layout.obs[0].dims
|
||||
);
|
||||
|
||||
return {
|
||||
universe,
|
||||
world,
|
||||
crossfilter
|
||||
};
|
||||
};
|
||||
|
||||
describe("createWorldFromEntireUniverse", () => {
|
||||
test("create from REST sample", () => {
|
||||
const universe = Universe.createUniverseFromResponse(
|
||||
REST.config,
|
||||
REST.schema,
|
||||
REST.annotationsObs,
|
||||
REST.annotationsVar,
|
||||
REST.layoutObs
|
||||
);
|
||||
expect(universe).toBeDefined();
|
||||
|
||||
const world = World.createWorldFromEntireUniverse(universe);
|
||||
expect(world).toBeDefined();
|
||||
|
||||
expect(world).toMatchObject(
|
||||
expect.objectContaining({
|
||||
nObs: universe.nObs,
|
||||
nVar: universe.nVar,
|
||||
schema: universe.schema,
|
||||
obsAnnotations: expect.any(Dataframe.Dataframe),
|
||||
varAnnotations: expect.any(Dataframe.Dataframe),
|
||||
obsLayout: expect.any(Dataframe.Dataframe),
|
||||
varData: expect.any(Dataframe.Dataframe),
|
||||
clipQuantiles: { min: 0, max: 1 },
|
||||
unclipped: {
|
||||
obsAnnotations: expect.any(Dataframe.Dataframe),
|
||||
varData: expect.any(Dataframe.Dataframe)
|
||||
}
|
||||
})
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe("createWorldFromCurrentSelection", () => {
|
||||
test("create from REST sample", () => {
|
||||
const {
|
||||
universe,
|
||||
world: originalWorld,
|
||||
crossfilter: originalCrossfilter
|
||||
} = defaultBigBang();
|
||||
|
||||
/* mock a selection */
|
||||
const crossfilter = originalCrossfilter
|
||||
.select(obsAnnoDimensionName("field1"), { mode: "range", lo: 0, hi: 5 })
|
||||
.select(obsAnnoDimensionName("field3"), {
|
||||
mode: "exact",
|
||||
values: [false]
|
||||
});
|
||||
|
||||
/* create the world from the selection */
|
||||
const world = World.createWorldBySelection(
|
||||
universe,
|
||||
originalWorld,
|
||||
crossfilter
|
||||
);
|
||||
expect(world).toBeDefined();
|
||||
expect(world.nObs).toEqual(crossfilter.countSelected());
|
||||
|
||||
/*
|
||||
calculate expected values and match against result
|
||||
*/
|
||||
|
||||
/* matchFilter must match the dimension filters above */
|
||||
const matchFilter = (df, row) => {
|
||||
const field1 = df.at(row, "field1");
|
||||
const field3 = df.at(row, "field3");
|
||||
return field1 >= 0 && field1 < 5 && !field3;
|
||||
};
|
||||
const matchingIndices = _()
|
||||
.range(universe.nObs)
|
||||
.filter(idx => matchFilter(universe.obsAnnotations, idx))
|
||||
.value();
|
||||
|
||||
expect(world).toMatchObject(
|
||||
expect.objectContaining({
|
||||
nObs: matchingIndices.length,
|
||||
nVar: universe.nVar,
|
||||
schema: universe.schema,
|
||||
clipQuantiles: { min: 0, max: 1 },
|
||||
obsAnnotations: expect.any(Dataframe.Dataframe),
|
||||
varAnnotations: expect.any(Dataframe.Dataframe),
|
||||
obsLayout: expect.any(Dataframe.Dataframe),
|
||||
varData: expect.any(Dataframe.Dataframe),
|
||||
unclipped: {
|
||||
obsAnnotations: expect.any(Dataframe.Dataframe),
|
||||
varData: expect.any(Dataframe.Dataframe)
|
||||
}
|
||||
})
|
||||
);
|
||||
|
||||
expect(world.obsAnnotations.rowIndex.keys()).toEqual(
|
||||
new Int32Array(matchingIndices)
|
||||
);
|
||||
expect(world.obsAnnotations.colIndex.keys()).toEqual(
|
||||
universe.obsAnnotations.colIndex.keys()
|
||||
);
|
||||
expect(world.obsLayout.rowIndex.keys()).toEqual(
|
||||
new Int32Array(matchingIndices)
|
||||
);
|
||||
expect(world.obsLayout.colIndex.keys()).toEqual(
|
||||
world.schema.layout.obs[0].dims
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe("createObsDimensionMap", () => {
|
||||
test("when universe eq world", () => {
|
||||
/*
|
||||
check for:
|
||||
- creates a dimension for all obsAnnotations, PLUS X/Y layout
|
||||
- check that dimension typing is sane
|
||||
*/
|
||||
|
||||
const { crossfilter } = defaultBigBang();
|
||||
const annotationNames = _.map(
|
||||
REST.schema.schema.annotations.obs.columns,
|
||||
c => c.name
|
||||
);
|
||||
const obsIndexColName = REST.schema.schema.annotations.obs.index;
|
||||
const schemaByObsName = _.keyBy(
|
||||
REST.schema.schema.annotations.obs.columns,
|
||||
"name"
|
||||
);
|
||||
expect(crossfilter).toBeDefined();
|
||||
annotationNames.forEach(name => {
|
||||
const dim = crossfilter.dimensions[obsAnnoDimensionName(name)];
|
||||
if (name === obsIndexColName) {
|
||||
expect(dim).toBeUndefined();
|
||||
} else {
|
||||
const { type } = schemaByObsName[name];
|
||||
if (type === "string" || type === "boolean" || type === "categorical") {
|
||||
expect(dim.dim).toBeInstanceOf(DimTypes.enum);
|
||||
} else {
|
||||
expect(dim.dim).toBeInstanceOf(DimTypes.scalar);
|
||||
}
|
||||
}
|
||||
});
|
||||
expect(
|
||||
crossfilter.dimensions[layoutDimensionName("XY")].dim
|
||||
).toBeInstanceOf(DimTypes.spatial);
|
||||
});
|
||||
});
|
||||
|
||||
describe("worldEqUniverse", () => {
|
||||
const { universe, world } = defaultBigBang();
|
||||
const result = World.worldEqUniverse(world, universe);
|
||||
expect(result).toBe(true);
|
||||
});
|
||||
@@ -0,0 +1,62 @@
|
||||
import {
|
||||
countCategoryValues2D,
|
||||
clearCaches
|
||||
} from "../../../src/util/stateManager/worldUtil";
|
||||
import * as Dataframe from "../../../src/util/dataframe";
|
||||
|
||||
describe("WorldUtil cache management", () => {
|
||||
test("empty", () => {
|
||||
const count = countCategoryValues2D(
|
||||
"a",
|
||||
"b",
|
||||
new Dataframe.Dataframe([0, 0], [])
|
||||
);
|
||||
expect(count).toMatchObject(new Map());
|
||||
expect(count.size).toBe(0);
|
||||
});
|
||||
|
||||
test("simple couts", () => {
|
||||
const df = new Dataframe.Dataframe(
|
||||
[3, 2],
|
||||
[[0, 0, 1], [false, true, false]],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["a", "b"])
|
||||
);
|
||||
const count = countCategoryValues2D("a", "b", df);
|
||||
expect(count).toMatchObject(
|
||||
new Map([
|
||||
[0, new Map([[true, 1], [false, 1]])],
|
||||
[1, new Map([[false, 1]])]
|
||||
])
|
||||
);
|
||||
});
|
||||
|
||||
test("memo cache clear", () => {
|
||||
clearCaches();
|
||||
const df1 = new Dataframe.Dataframe([0, 0], []);
|
||||
const df2 = new Dataframe.Dataframe(
|
||||
[3, 2],
|
||||
[[0, 0, 1], [false, true, false]],
|
||||
null,
|
||||
new Dataframe.KeyIndex(["a", "b"])
|
||||
);
|
||||
|
||||
const count1 = countCategoryValues2D("a", "b", df1);
|
||||
const count2 = countCategoryValues2D("a", "b", df1);
|
||||
const count3 = countCategoryValues2D("a", "b", df1.clone());
|
||||
const count4 = countCategoryValues2D("a", "b", df2);
|
||||
|
||||
clearCaches();
|
||||
const count10 = countCategoryValues2D("a", "b", df1);
|
||||
const count11 = countCategoryValues2D("a", "b", df2);
|
||||
|
||||
expect(count1).toEqual(count2);
|
||||
expect(count1).toEqual(count3);
|
||||
expect(count1).toEqual(count10);
|
||||
expect(count1).not.toBe(count3);
|
||||
expect(count1).not.toBe(count10);
|
||||
|
||||
expect(count4).toEqual(count11);
|
||||
expect(count4).not.toBe(count11);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,185 @@
|
||||
// jshint esversion: 6
|
||||
|
||||
import BitArray from "../../../src/util/typedCrossfilter/bitArray";
|
||||
|
||||
const defaultTestLength = 8;
|
||||
|
||||
describe("default select state", () => {
|
||||
test("newly created Bitarray should be deselected", () => {
|
||||
const ba = new BitArray(defaultTestLength);
|
||||
expect(ba).toBeDefined();
|
||||
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
const dim = ba.allocDimension();
|
||||
expect(dim).toBeDefined();
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.freeDimension(dim);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe("select and deselect", () => {
|
||||
test("selectAll and deselectAll", () => {
|
||||
const ba = new BitArray(defaultTestLength);
|
||||
expect(ba).toBeDefined();
|
||||
const dim1 = ba.allocDimension();
|
||||
expect(dim1).toBeDefined();
|
||||
ba.selectAll(dim1);
|
||||
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(true);
|
||||
}
|
||||
|
||||
const dim2 = ba.allocDimension();
|
||||
expect(dim2).toBeDefined();
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.selectAll(dim2);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(true);
|
||||
}
|
||||
|
||||
ba.deselectAll(dim1);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.deselectAll(dim2);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.selectAll(dim1);
|
||||
ba.selectAll(dim2);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(true);
|
||||
}
|
||||
|
||||
ba.freeDimension(dim1);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(true);
|
||||
}
|
||||
|
||||
ba.freeDimension(dim2);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
});
|
||||
|
||||
test("selectOne and deselectOne", () => {
|
||||
const ba = new BitArray(defaultTestLength);
|
||||
expect(ba).toBeDefined();
|
||||
const dim = ba.allocDimension();
|
||||
expect(dim).toBeDefined();
|
||||
|
||||
ba.selectOne(dim, 0);
|
||||
expect(ba.isSelected(0)).toEqual(true);
|
||||
for (let i = 1; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.deselectOne(dim, 0);
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.selectOne(dim, 1);
|
||||
expect(ba.isSelected(1)).toEqual(true);
|
||||
expect(ba.isSelected(0)).toEqual(false);
|
||||
for (let i = 2; i < defaultTestLength; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(false);
|
||||
}
|
||||
|
||||
ba.selectAll(dim);
|
||||
ba.deselectOne(dim, defaultTestLength - 1);
|
||||
expect(ba.isSelected(defaultTestLength - 1)).toEqual(false);
|
||||
for (let i = 0; i < defaultTestLength - 1; i += 1) {
|
||||
expect(ba.isSelected(i)).toEqual(true);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe("selectionCount", () => {
|
||||
test("simple", () => {
|
||||
const ba = new BitArray(defaultTestLength);
|
||||
expect(ba).toBeDefined();
|
||||
const dim1 = ba.allocDimension();
|
||||
expect(dim1).toBeDefined();
|
||||
const dim2 = ba.allocDimension();
|
||||
expect(dim2).toBeDefined();
|
||||
|
||||
expect(ba.selectionCount()).toEqual(0);
|
||||
ba.selectAll(dim1);
|
||||
expect(ba.selectionCount()).toEqual(0);
|
||||
ba.selectAll(dim2);
|
||||
expect(ba.selectionCount()).toEqual(defaultTestLength);
|
||||
|
||||
for (let i = 0; i < defaultTestLength; i += 1) {
|
||||
ba.deselectOne(dim1, i);
|
||||
expect(ba.selectionCount()).toEqual(defaultTestLength - i - 1);
|
||||
expect(ba.selectionCount()).toEqual(ba.countAllOnes());
|
||||
}
|
||||
|
||||
ba.freeDimension(dim1);
|
||||
ba.freeDimension(dim2);
|
||||
});
|
||||
});
|
||||
|
||||
describe("fillBySelection", () => {
|
||||
test("sets values correctly", () => {
|
||||
const ba = new BitArray(defaultTestLength);
|
||||
expect(ba).toBeDefined();
|
||||
const dim = ba.allocDimension();
|
||||
expect(dim).toBeDefined();
|
||||
|
||||
const arr = new Int32Array(defaultTestLength);
|
||||
arr.fill(0);
|
||||
const truth = new Int32Array(defaultTestLength);
|
||||
truth.fill(0);
|
||||
|
||||
// initial state should be deselected
|
||||
ba.fillBySelection(arr, 1, 0);
|
||||
expect(arr).toEqual(expect.not.arrayContaining([1]));
|
||||
|
||||
// selectAll
|
||||
ba.selectAll(dim);
|
||||
ba.fillBySelection(arr, 1, 0);
|
||||
expect(arr).toEqual(expect.not.arrayContaining([0]));
|
||||
|
||||
// deselectOne
|
||||
ba.deselectOne(dim, 3);
|
||||
ba.fillBySelection(arr, 1, 0);
|
||||
truth.fill(1);
|
||||
truth[3] = 0;
|
||||
expect(arr).toEqual(truth);
|
||||
|
||||
// deselectAll
|
||||
ba.deselectAll(dim);
|
||||
ba.fillBySelection(arr, 1, 0);
|
||||
truth.fill(0);
|
||||
expect(arr).toEqual(truth);
|
||||
|
||||
// selectOne
|
||||
ba.selectOne(dim, 5);
|
||||
ba.fillBySelection(arr, 6, 1);
|
||||
truth.fill(1);
|
||||
truth[5] = 6;
|
||||
expect(arr).toEqual(truth);
|
||||
|
||||
// should be deselected after dimension disposal
|
||||
ba.freeDimension(dim);
|
||||
ba.fillBySelection(arr, 3, 9);
|
||||
truth.fill(9);
|
||||
expect(arr).toEqual(truth);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,434 @@
|
||||
import _ from "lodash";
|
||||
import { polygonContains } from "d3";
|
||||
|
||||
import Crossfilter from "../../../src/util/typedCrossfilter";
|
||||
|
||||
const someData = [
|
||||
{
|
||||
date: "2011-11-14T16:17:54Z",
|
||||
quantity: 2,
|
||||
total: 190,
|
||||
tip: 100,
|
||||
type: "tab",
|
||||
productIDs: ["001"],
|
||||
coords: [0, 0],
|
||||
nonFinite: 0.0
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:20:19Z",
|
||||
quantity: 2,
|
||||
total: 190,
|
||||
tip: 100,
|
||||
type: "tab",
|
||||
productIDs: ["001", "005"],
|
||||
coords: [0.4, 0.4],
|
||||
nonFinite: Number.NaN
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:28:54Z",
|
||||
quantity: 1,
|
||||
total: 300,
|
||||
tip: 200,
|
||||
type: "visa",
|
||||
productIDs: ["004", "005"],
|
||||
coords: [0.3, 0.1],
|
||||
nonFinite: Number.POSITIVE_INFINITY
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:30:43Z",
|
||||
quantity: 2,
|
||||
total: 90,
|
||||
tip: 0,
|
||||
type: "tab",
|
||||
productIDs: ["001", "002"],
|
||||
coords: [0.392, 0.1],
|
||||
nonFinite: Number.NEGATIVE_INFINITY
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:48:46Z",
|
||||
quantity: 2,
|
||||
total: 90,
|
||||
tip: 0,
|
||||
type: "tab",
|
||||
productIDs: ["005"],
|
||||
coords: [0.7, 0.0482],
|
||||
nonFinite: 1.0
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:53:41Z",
|
||||
quantity: 2,
|
||||
total: 90,
|
||||
tip: 0,
|
||||
type: "tab",
|
||||
productIDs: ["001", "004", "005"],
|
||||
coords: [0.9999, 1.0],
|
||||
nonFinite: Number.NaN
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:54:06Z",
|
||||
quantity: 1,
|
||||
total: 100,
|
||||
tip: 0,
|
||||
type: "cash",
|
||||
productIDs: ["001", "002", "003", "004", "005"],
|
||||
coords: [0.384, 0.6938],
|
||||
nonFinite: 99.0
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T16:58:03Z",
|
||||
quantity: 2,
|
||||
total: 90,
|
||||
tip: 0,
|
||||
type: "tab",
|
||||
productIDs: ["001"],
|
||||
coords: [0.4822, 0.482],
|
||||
nonFinite: Number.NaN
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T17:07:21Z",
|
||||
quantity: 2,
|
||||
total: 90,
|
||||
tip: 0,
|
||||
type: "tab",
|
||||
productIDs: ["004", "005"],
|
||||
coords: [0.2234, 0],
|
||||
nonFinite: Number.NaN
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T17:22:59Z",
|
||||
quantity: 2,
|
||||
total: 90,
|
||||
tip: 0,
|
||||
type: "tab",
|
||||
productIDs: ["001", "002", "004", "005"],
|
||||
coords: [0.382, 0.38485],
|
||||
nonFinite: -1
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T17:25:45Z",
|
||||
quantity: 2,
|
||||
total: 200,
|
||||
tip: 0,
|
||||
type: "cash",
|
||||
productIDs: ["002"],
|
||||
coords: [0.998, 0.8472],
|
||||
nonFinite: 0.0
|
||||
},
|
||||
{
|
||||
date: "2011-11-14T17:29:52Z",
|
||||
quantity: 1,
|
||||
total: 200,
|
||||
tip: 100,
|
||||
type: "visa",
|
||||
productIDs: ["004"],
|
||||
coords: [0.8273, 0.3384],
|
||||
nonFinite: 0.0
|
||||
}
|
||||
];
|
||||
|
||||
let payments = null;
|
||||
beforeEach(() => {
|
||||
payments = new Crossfilter(someData);
|
||||
});
|
||||
|
||||
describe("ImmutableTypedCrossfilter", () => {
|
||||
test("create crossfilter", () => {
|
||||
expect(payments).toBeDefined();
|
||||
expect(payments.size()).toEqual(someData.length);
|
||||
expect(payments.all()).toEqual(someData);
|
||||
|
||||
const p = payments
|
||||
.addDimension("quantity", "scalar", (i, d) => d[i].quantity, Int32Array)
|
||||
.select("quantity", { mode: "all" });
|
||||
expect(p).toBeDefined();
|
||||
expect(p.all()).toEqual(someData);
|
||||
expect(p.size()).toEqual(someData.length);
|
||||
expect(p.isElementSelected(0)).toBeTruthy();
|
||||
expect(p.countSelected()).toEqual(someData.length);
|
||||
expect(p.allSelected()).toEqual(someData);
|
||||
});
|
||||
|
||||
test("immutability", () => {
|
||||
/*
|
||||
the following should return a new crossfilter:
|
||||
- addDimension()
|
||||
- delDimension()
|
||||
- select
|
||||
*/
|
||||
const p2 = payments.addDimension(
|
||||
"quantity",
|
||||
"scalar",
|
||||
(i, data) => data[i].quantity,
|
||||
Int32Array
|
||||
);
|
||||
|
||||
expect(payments).not.toBe(p2);
|
||||
const p3 = p2.select("quantity", { mode: "all" });
|
||||
expect(p3).not.toBe(p2);
|
||||
|
||||
const p4 = p3.delDimension("quantity");
|
||||
expect(p4).not.toBe(p3);
|
||||
});
|
||||
|
||||
test("select all and none", () => {
|
||||
let p = payments
|
||||
.addDimension("quantity", "scalar", (i, d) => d[i].quantity, Int32Array)
|
||||
.addDimension("tip", "scalar", (i, d) => d[i].tip, Float32Array)
|
||||
.addDimension("total", "scalar", (i, d) => d[i].total, Float32Array)
|
||||
.addDimension("type", "enum", (i, d) => d[i].type);
|
||||
expect(p).toBeDefined();
|
||||
|
||||
/* expect all records to be selected - default init state */
|
||||
expect(p.allSelected()).toEqual(someData);
|
||||
expect(p.countSelected()).toEqual(someData.length);
|
||||
expect(p.allSelectedMask()).toEqual(
|
||||
new Uint8Array(someData.length).fill(1)
|
||||
);
|
||||
expect(p.fillByIsSelected(new Uint8Array(someData.length), 99, 0)).toEqual(
|
||||
new Uint8Array(someData.length).fill(99)
|
||||
);
|
||||
for (let i = 0; i < someData.length; i += 1) {
|
||||
expect(p.isElementSelected(i)).toBeTruthy();
|
||||
}
|
||||
|
||||
/* expect a selectAll on one dimension to change nothing */
|
||||
p = p.select("tip", { mode: "all" });
|
||||
expect(p.allSelected()).toEqual(someData);
|
||||
|
||||
/* ditto */
|
||||
p = p.select("quantity", { mode: "all" });
|
||||
expect(p.allSelected()).toEqual(someData);
|
||||
|
||||
/* select none on one dimension */
|
||||
p = p.select("type", { mode: "none" });
|
||||
expect(p.allSelected()).toEqual([]);
|
||||
expect(p.countSelected()).toEqual(0);
|
||||
expect(p.allSelectedMask()).toEqual(
|
||||
new Uint8Array(someData.length).fill(0)
|
||||
);
|
||||
expect(p.fillByIsSelected(new Uint8Array(someData.length), 99, 0)).toEqual(
|
||||
new Uint8Array(someData.length).fill(0)
|
||||
);
|
||||
for (let i = 0; i < someData.length; i += 1) {
|
||||
expect(p.isElementSelected(i)).toBeFalsy();
|
||||
}
|
||||
|
||||
p = p.select("quantity", { mode: "none" });
|
||||
expect(p.allSelected()).toEqual([]);
|
||||
|
||||
// invert the first none; should have no effect because type is
|
||||
// still not filtered.
|
||||
p = p.select("quantity", { mode: "all" });
|
||||
expect(p.allSelected()).toEqual([]);
|
||||
|
||||
/* select all of type; should select all records */
|
||||
p = p.select("type", { mode: "all" });
|
||||
expect(p.allSelected()).toEqual(someData);
|
||||
});
|
||||
|
||||
describe("scalar dimension", () => {
|
||||
let p;
|
||||
beforeEach(() => {
|
||||
p = payments
|
||||
.addDimension("quantity", "scalar", (i, d) => d[i].quantity, Int32Array)
|
||||
.addDimension("tip", "scalar", (i, d) => d[i].tip, Float32Array)
|
||||
.select("tip", { mode: "all" });
|
||||
});
|
||||
|
||||
/*
|
||||
select modes: all, none, exact, range
|
||||
*/
|
||||
test("all", () => {
|
||||
expect(p.select("quantity", { mode: "all" }).countSelected()).toEqual(
|
||||
someData.length
|
||||
);
|
||||
});
|
||||
test("none", () => {
|
||||
expect(p.select("quantity", { mode: "none" }).countSelected()).toEqual(0);
|
||||
});
|
||||
test.each([[[]], [[2]], [[2, 1]], [[9, 82]], [[0, 1]]])("exact: %p", v =>
|
||||
expect(
|
||||
p.select("quantity", { mode: "exact", values: v }).countSelected()
|
||||
).toEqual(_.filter(someData, d => v.includes(d.quantity)).length)
|
||||
);
|
||||
test.each([[0, 1], [1, 2], [0, 99], [99, 100000]])("range %p", (lo, hi) =>
|
||||
expect(
|
||||
p.select("quantity", { mode: "range", lo, hi }).countSelected()
|
||||
).toEqual(
|
||||
_.filter(someData, d => d.quantity >= lo && d.quantity < hi).length
|
||||
)
|
||||
);
|
||||
test("bad mode", () => {
|
||||
expect(() => p.select("type", { mode: "bad mode" })).toThrow(Error);
|
||||
});
|
||||
});
|
||||
|
||||
describe("enum dimension", () => {
|
||||
let p;
|
||||
beforeEach(() => {
|
||||
p = payments.addDimension("type", "enum", (i, d) => d[i].type);
|
||||
});
|
||||
|
||||
test("all", () => {
|
||||
expect(p.select("type", { mode: "all" }).countSelected()).toEqual(
|
||||
someData.length
|
||||
);
|
||||
});
|
||||
test("none", () => {
|
||||
expect(p.select("type", { mode: "none" }).countSelected()).toEqual(0);
|
||||
});
|
||||
test.each([
|
||||
[[]],
|
||||
[["tab"]],
|
||||
[["visa"]],
|
||||
[["visa", "tab"]],
|
||||
[["cash", "tab", "visa"]]
|
||||
])("exact: %p", v =>
|
||||
expect(
|
||||
p.select("type", { mode: "exact", values: v }).countSelected()
|
||||
).toEqual(_.filter(someData, d => v.includes(d.type)).length)
|
||||
);
|
||||
test("range", () => {
|
||||
expect(() => p.select("type", { mode: "range", lo: 0, hi: 9 })).toThrow(
|
||||
Error
|
||||
);
|
||||
});
|
||||
test("bad mode", () => {
|
||||
expect(() => p.select("type", { mode: "bad mode" })).toThrow(Error);
|
||||
});
|
||||
});
|
||||
|
||||
describe("spatial dimension", () => {
|
||||
let p;
|
||||
beforeEach(() => {
|
||||
const X = someData.map(r => r.coords[0]);
|
||||
const Y = someData.map(r => r.coords[1]);
|
||||
p = payments.addDimension("coords", "spatial", X, Y);
|
||||
});
|
||||
|
||||
test("all", () => {
|
||||
expect(p.select("coords", { mode: "all" }).countSelected()).toEqual(
|
||||
someData.length
|
||||
);
|
||||
});
|
||||
test("none", () => {
|
||||
expect(p.select("coords", { mode: "none" }).countSelected()).toEqual(0);
|
||||
});
|
||||
test.each([[0, 0, 1, 1], [0, 0, 0.5, 0.5], [0.5, 0.5, 1, 1]])(
|
||||
"within-rect %d %d %d %d",
|
||||
(minX, minY, maxX, maxY) => {
|
||||
expect(
|
||||
p
|
||||
.select("coords", { mode: "within-rect", minX, minY, maxX, maxY })
|
||||
.allSelected()
|
||||
).toEqual(
|
||||
_.filter(someData, d => {
|
||||
const [x, y] = d.coords;
|
||||
return minX <= x && x < maxX && minY <= y && y < maxY;
|
||||
})
|
||||
);
|
||||
}
|
||||
);
|
||||
|
||||
test.each([
|
||||
[[[0, 0], [0, 1], [1, 1], [1, 0]]],
|
||||
[[[0, 0], [0, 0.5], [0.5, 0.5], [0.5, 0]]]
|
||||
])("within-polygon %p", polygon => {
|
||||
expect(
|
||||
p.select("coords", { mode: "within-polygon", polygon }).allSelected()
|
||||
).toEqual(_.filter(someData, d => polygonContains(polygon, d.coords)));
|
||||
});
|
||||
});
|
||||
|
||||
describe("non-finite scalars", () => {
|
||||
let p;
|
||||
beforeEach(() => {
|
||||
p = payments
|
||||
.addDimension("quantity", "scalar", (i, d) => d[i].quantity, Int32Array)
|
||||
.addDimension(
|
||||
"nonFinite",
|
||||
"scalar",
|
||||
(i, d) => d[i].nonFinite,
|
||||
Float32Array
|
||||
)
|
||||
.select("quantity", { mode: "all" });
|
||||
});
|
||||
|
||||
test("all or none", () => {
|
||||
expect(p.select("nonFinite", { mode: "all" }).countSelected()).toEqual(
|
||||
someData.length
|
||||
);
|
||||
expect(p.select("nonFinite", { mode: "none" }).countSelected()).toEqual(
|
||||
0
|
||||
);
|
||||
});
|
||||
|
||||
test("exact", () => {
|
||||
expect(
|
||||
p.select("nonFinite", { mode: "exact", values: [0] }).countSelected()
|
||||
).toEqual(3);
|
||||
expect(
|
||||
p.select("nonFinite", { mode: "exact", values: [1] }).countSelected()
|
||||
).toEqual(1);
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", {
|
||||
mode: "exact",
|
||||
values: [Number.POSITIVE_INFINITY]
|
||||
})
|
||||
.countSelected()
|
||||
).toEqual(1);
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", {
|
||||
mode: "exact",
|
||||
values: [Number.NEGATIVE_INFINITY]
|
||||
})
|
||||
.countSelected()
|
||||
).toEqual(1);
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", { mode: "exact", values: [Number.NaN] })
|
||||
.countSelected()
|
||||
).toEqual(4);
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", {
|
||||
mode: "exact",
|
||||
values: [Number.POSITIVE_INFINITY, 0, 1, 99]
|
||||
})
|
||||
.countSelected()
|
||||
).toEqual(6);
|
||||
});
|
||||
|
||||
test("range", () => {
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", {
|
||||
mode: "range",
|
||||
lo: 0,
|
||||
hi: Number.POSITIVE_INFINITY
|
||||
})
|
||||
.countSelected()
|
||||
).toEqual(5);
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", {
|
||||
mode: "range",
|
||||
lo: 0,
|
||||
hi: Number.NaN
|
||||
})
|
||||
.countSelected()
|
||||
).toEqual(6);
|
||||
expect(
|
||||
p
|
||||
.select("nonFinite", {
|
||||
mode: "range",
|
||||
lo: Number.NEGATIVE_INFINITY,
|
||||
hi: Number.POSITIVE_INFINITY
|
||||
})
|
||||
.countSelected()
|
||||
).toEqual(7);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,141 @@
|
||||
// jshint esversion: 6
|
||||
|
||||
// const PositiveIntervals = require("../../src/util/typedCrossfilter/positiveIntervals");
|
||||
import PositiveIntervals from "../../../src/util/typedCrossfilter/positiveIntervals";
|
||||
|
||||
describe("canonicalize", () => {
|
||||
test("empty", () => {
|
||||
expect(PositiveIntervals.canonicalize([])).toEqual([]);
|
||||
});
|
||||
|
||||
test("simple, already correct", () => {
|
||||
expect(PositiveIntervals.canonicalize([[0, 1]])).toEqual([[0, 1]]);
|
||||
expect(PositiveIntervals.canonicalize([[0, 1], [2, 3]])).toEqual([
|
||||
[0, 1],
|
||||
[2, 3]
|
||||
]);
|
||||
});
|
||||
|
||||
test("non-canonical, need to be canonicalized", () => {
|
||||
expect(PositiveIntervals.canonicalize([[0, 1], [1, 2]])).toEqual([[0, 2]]);
|
||||
expect(PositiveIntervals.canonicalize([[1, 2], [2, 3]])).toEqual([[1, 3]]);
|
||||
});
|
||||
});
|
||||
|
||||
describe("union", () => {
|
||||
test("empty range", () => {
|
||||
expect(PositiveIntervals.union([], [])).toEqual([]);
|
||||
expect(PositiveIntervals.union([], [[1, 2]])).toEqual([[1, 2]]);
|
||||
expect(PositiveIntervals.union([], [[1, 2], [3, 4]])).toEqual([
|
||||
[1, 2],
|
||||
[3, 4]
|
||||
]);
|
||||
expect(PositiveIntervals.union([[3, 4]], [])).toEqual([[3, 4]]);
|
||||
expect(PositiveIntervals.union([[1, 2], [3, 4]], [])).toEqual([
|
||||
[1, 2],
|
||||
[3, 4]
|
||||
]);
|
||||
expect(PositiveIntervals.union([[3, 3]], [])).toEqual([[3, 3]]);
|
||||
expect(PositiveIntervals.union([], [[3, 3]])).toEqual([[3, 3]]);
|
||||
});
|
||||
|
||||
test("simple ranges", () => {
|
||||
expect(PositiveIntervals.union([[1, 2]], [[2, 3]])).toEqual([[1, 3]]);
|
||||
expect(PositiveIntervals.union([[2, 3]], [[1, 2]])).toEqual([[1, 3]]);
|
||||
expect(PositiveIntervals.union([[1, 2]], [[3, 4]])).toEqual([
|
||||
[1, 2],
|
||||
[3, 4]
|
||||
]);
|
||||
expect(
|
||||
PositiveIntervals.union([[1, 2], [3, 4]], [[6, 7], [19, 40]])
|
||||
).toEqual([[1, 2], [3, 4], [6, 7], [19, 40]]);
|
||||
expect(PositiveIntervals.union([[1, 4]], [[1, 1], [3, 4]])).toEqual([
|
||||
[1, 4]
|
||||
]);
|
||||
expect(PositiveIntervals.union([[3, 3]], [[4, 4]])).toEqual([
|
||||
[3, 3],
|
||||
[4, 4]
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe("intersection", () => {
|
||||
test("empty range", () => {
|
||||
expect(PositiveIntervals.intersection([], [])).toEqual([]);
|
||||
expect(PositiveIntervals.intersection([], [[1, 2]])).toEqual([]);
|
||||
expect(PositiveIntervals.intersection([[1, 2]], [])).toEqual([]);
|
||||
});
|
||||
|
||||
test("simple", () => {
|
||||
expect(PositiveIntervals.intersection([[1, 2]], [[2, 3]])).toEqual([]);
|
||||
expect(PositiveIntervals.intersection([[2, 3]], [[1, 2]])).toEqual([]);
|
||||
expect(PositiveIntervals.intersection([[1, 10]], [[1, 10]])).toEqual([
|
||||
[1, 10]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[1, 10]], [[2, 8]])).toEqual([
|
||||
[2, 8]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[2, 8]], [[1, 10]])).toEqual([
|
||||
[2, 8]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[1, 10]], [[2, 12]])).toEqual([
|
||||
[2, 10]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[2, 12]], [[1, 10]])).toEqual([
|
||||
[2, 10]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[1, 10]], [[1, 8]])).toEqual([
|
||||
[1, 8]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[1, 8]], [[1, 10]])).toEqual([
|
||||
[1, 8]
|
||||
]);
|
||||
expect(PositiveIntervals.intersection([[1, 10]], [[1, 2], [6, 9]])).toEqual(
|
||||
[[1, 2], [6, 9]]
|
||||
);
|
||||
expect(PositiveIntervals.intersection([[0, 2638]], [[1363, 2638]])).toEqual(
|
||||
[[1363, 2638]]
|
||||
);
|
||||
expect(PositiveIntervals.intersection([[1, 2]], [[1, 2]])).toEqual([
|
||||
[1, 2]
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe("difference", () => {
|
||||
test("empty", () => {
|
||||
expect(PositiveIntervals.difference([], [])).toEqual([]);
|
||||
expect(PositiveIntervals.difference([], [[1, 10]])).toEqual([]);
|
||||
expect(PositiveIntervals.difference([[1, 10]], [])).toEqual([[1, 10]]);
|
||||
});
|
||||
|
||||
test("simple", () => {
|
||||
expect(PositiveIntervals.difference([[1, 2], [3, 4]], [])).toEqual([
|
||||
[1, 2],
|
||||
[3, 4]
|
||||
]);
|
||||
expect(PositiveIntervals.difference([[1, 2], [3, 10]], [[5, 10]])).toEqual([
|
||||
[1, 2],
|
||||
[3, 5]
|
||||
]);
|
||||
expect(PositiveIntervals.difference([[1, 2], [3, 10]], [[0, 5]])).toEqual([
|
||||
[5, 10]
|
||||
]);
|
||||
expect(
|
||||
PositiveIntervals.difference([[0, 2638]], [[0, 1363], [2055, 2638]])
|
||||
).toEqual([[1363, 2055]]);
|
||||
expect(
|
||||
PositiveIntervals.difference([[0, 1363], [2055, 2638]], [[0, 2638]])
|
||||
).toEqual([]);
|
||||
expect(PositiveIntervals.difference([[0, 10]], [[0, 1]])).toEqual([
|
||||
[1, 10]
|
||||
]);
|
||||
expect(PositiveIntervals.difference([[0, 10]], [[1, 2]])).toEqual([
|
||||
[0, 1],
|
||||
[2, 10]
|
||||
]);
|
||||
expect(PositiveIntervals.difference([[0, 10]], [[9, 10]])).toEqual([
|
||||
[0, 9]
|
||||
]);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,255 @@
|
||||
import {
|
||||
sortArray,
|
||||
sortIndex,
|
||||
lowerBound,
|
||||
upperBound,
|
||||
lowerBoundIndirect,
|
||||
upperBoundIndirect
|
||||
} from "../../../src/util/typedCrossfilter/sort";
|
||||
|
||||
/*
|
||||
Sort tests should keep in mind that there are separate code
|
||||
paths for:
|
||||
- small vs. large arrays (insertionsort only)
|
||||
- float-only typed arrays vs. other array types (non-finite handling)
|
||||
- indexed vs. direct sort
|
||||
*/
|
||||
|
||||
const pInf = Number.POSITIVE_INFINITY;
|
||||
const nInf = Number.NEGATIVE_INFINITY;
|
||||
|
||||
function fillRange(arr, start = 0) {
|
||||
const larr = arr;
|
||||
for (let i = 0, len = larr.length; i < len; i += 1) {
|
||||
larr[i] = i + start;
|
||||
}
|
||||
return larr;
|
||||
}
|
||||
|
||||
function fillRand(arr) {
|
||||
for (let i = 0, len = arr.length; i < len; i += 1) {
|
||||
arr[i] = Math.random();
|
||||
}
|
||||
return arr;
|
||||
}
|
||||
|
||||
describe("sortArray", () => {
|
||||
describe("JS vals", () => {
|
||||
[
|
||||
[true, false],
|
||||
["a", "b", "0", "1"],
|
||||
[0, "a", true, null, undefined, 3.1415],
|
||||
fillRand(new Array(1000)),
|
||||
["a", NaN, null, pInf]
|
||||
].map((val, idx) =>
|
||||
test(`JS vals ${idx}`, () => {
|
||||
expect(sortArray(val)).toMatchObject(val.sort());
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
describe("finite numbers", () => {
|
||||
[Array, Float32Array, Uint32Array, Int32Array, Float64Array].map(Type =>
|
||||
test(Type.name, () => {
|
||||
expect(sortArray(Type.from([6, 5, 4, 3, 2, 1, 0]))).toMatchObject(
|
||||
Type.from([0, 1, 2, 3, 4, 5, 6])
|
||||
);
|
||||
|
||||
expect(sortArray(Type.from([6, 5, 4, 3, 2, 1]))).toMatchObject(
|
||||
Type.from([1, 2, 3, 4, 5, 6])
|
||||
);
|
||||
|
||||
const source = fillRand(new Type(1000));
|
||||
expect(sortArray(Type.from(source))).toMatchObject(
|
||||
Type.from(source).sort()
|
||||
);
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
describe("non-finite numbers", () => {
|
||||
test("inifinity", () => {
|
||||
expect(sortArray(new Float32Array([pInf, nInf, 0, 1, 2]))).toMatchObject(
|
||||
new Float32Array([nInf, 0, 1, 2, pInf])
|
||||
);
|
||||
expect(
|
||||
sortArray(new Float32Array([pInf, nInf, pInf, nInf]))
|
||||
).toMatchObject(new Float32Array([nInf, nInf, pInf, pInf]));
|
||||
expect(
|
||||
sortArray(new Float32Array([pInf, nInf, pInf, nInf, pInf]))
|
||||
).toMatchObject(new Float32Array([nInf, nInf, pInf, pInf, pInf]));
|
||||
expect(
|
||||
sortArray(
|
||||
new Float32Array(100).fill(Infinity, 0, 50).fill(-Infinity, 50, 100)
|
||||
)
|
||||
).toMatchObject(
|
||||
new Float32Array(100).fill(-Infinity, 0, 50).fill(Infinity, 50, 100)
|
||||
);
|
||||
});
|
||||
test("NaN", () => {
|
||||
expect(sortArray(new Float64Array([NaN, 2, 1, 0]))).toMatchObject(
|
||||
new Float64Array([0, 1, 2, NaN])
|
||||
);
|
||||
expect(sortArray(new Float32Array([NaN, 2, 1, 0]))).toMatchObject(
|
||||
new Float32Array([0, 1, 2, NaN])
|
||||
);
|
||||
expect(sortArray(new Float32Array([NaN, 2, NaN, 1, 0]))).toMatchObject(
|
||||
new Float32Array([0, 1, 2, NaN, NaN])
|
||||
);
|
||||
expect(sortArray(new Float32Array([NaN, 2, 1, NaN, 0]))).toMatchObject(
|
||||
new Float32Array([0, 1, 2, NaN, NaN])
|
||||
);
|
||||
expect(
|
||||
sortArray(fillRange(new Float32Array(100)).fill(NaN, 0, 10))
|
||||
).toMatchObject(fillRange(new Float32Array(100), 10).fill(NaN, 90, 100));
|
||||
});
|
||||
|
||||
test("mixed numbers", () => {
|
||||
expect(
|
||||
sortArray(new Float32Array([NaN, pInf, nInf, NaN, NaN]))
|
||||
).toMatchObject(new Float32Array([nInf, pInf, NaN, NaN, NaN]));
|
||||
expect(
|
||||
sortArray(new Float32Array([NaN, pInf, nInf, NaN, 1, NaN, 2]))
|
||||
).toMatchObject(new Float32Array([nInf, 1, 2, pInf, NaN, NaN, NaN]));
|
||||
expect(
|
||||
sortArray(new Float32Array([NaN, pInf, nInf, 0, 1, NaN, 2]))
|
||||
).toMatchObject(new Float32Array([nInf, 0, 1, 2, pInf, NaN, NaN]));
|
||||
expect(
|
||||
sortArray(
|
||||
fillRange(new Float32Array(100))
|
||||
.fill(NaN, 0, 10)
|
||||
.fill(Infinity, 10, 20)
|
||||
)
|
||||
).toMatchObject(
|
||||
fillRange(new Float32Array(100), 20)
|
||||
.fill(Infinity, 80, 90)
|
||||
.fill(NaN, 90, 100)
|
||||
);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe("sortIndex", () => {
|
||||
describe("finite numbers", () => {
|
||||
[Array, Float32Array, Uint32Array, Int32Array, Float64Array].map(Type =>
|
||||
test(Type.name, () => {
|
||||
const source1 = Type.from([6, 5, 4, 3, 2, 1, 0]);
|
||||
const index1 = fillRange(new Uint32Array(source1.length));
|
||||
expect(sortIndex(index1, source1)).toMatchObject(
|
||||
index1.sort((a, b) => source1[a] - source1[b])
|
||||
);
|
||||
|
||||
const source2 = Type.from([6, 5, 4, 3, 2, 1]);
|
||||
const index2 = fillRange(new Uint32Array(source2.length));
|
||||
expect(sortIndex(index2, source2)).toMatchObject(
|
||||
index2.sort((a, b) => source1[a] - source1[b])
|
||||
);
|
||||
|
||||
const source3 = fillRand(new Type(1000));
|
||||
const index3 = fillRange(new Uint32Array(source3.length));
|
||||
expect(sortIndex(index3, source3)).toMatchObject(
|
||||
index3.sort((a, b) => source1[a] - source1[b])
|
||||
);
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
describe("non-finite numbers", () => {
|
||||
test("mixed numbers", () => {
|
||||
const source1 = new Float32Array([NaN, pInf, nInf, NaN, 1, NaN, 2]);
|
||||
const index1 = fillRange(new Uint32Array(source1.length));
|
||||
expect(sortIndex(index1, source1)).toMatchObject(
|
||||
new Uint32Array([2, 4, 6, 1, 0, 3, 5])
|
||||
);
|
||||
|
||||
const source2 = new Float32Array([NaN, pInf, nInf, 0, 1, NaN, 2]);
|
||||
const index2 = fillRange(new Uint32Array(source2.length));
|
||||
expect(sortIndex(index2, source2)).toMatchObject(
|
||||
new Uint32Array([2, 3, 4, 6, 1, 0, 5])
|
||||
);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe("lowerBound", () => {
|
||||
test("non-float path", () => {
|
||||
expect(lowerBound([], 0, 0, 0)).toEqual(0);
|
||||
|
||||
expect(lowerBound([0, 1, 2, 3], -1, 0, 4)).toEqual(0);
|
||||
expect(lowerBound([0, 1, 2, 3], 0, 0, 4)).toEqual(0);
|
||||
expect(lowerBound([0, 1, 2, 3], 1, 0, 4)).toEqual(1);
|
||||
expect(lowerBound([0, 1, 2, 3], 3, 0, 4)).toEqual(3);
|
||||
expect(lowerBound([0, 1, 2, 3], 4, 0, 4)).toEqual(4);
|
||||
|
||||
expect(lowerBound([0, 1, 2, 3, 4], -1, 0, 5)).toEqual(0);
|
||||
expect(lowerBound([0, 1, 2, 3, 4], 0, 0, 5)).toEqual(0);
|
||||
expect(lowerBound([0, 1, 2, 3, 4], 2, 0, 5)).toEqual(2);
|
||||
expect(lowerBound([0, 1, 2, 3, 4], 4, 0, 5)).toEqual(4);
|
||||
expect(lowerBound([0, 1, 2, 3, 4], 5, 0, 5)).toEqual(5);
|
||||
|
||||
expect(lowerBound([0, 2, 4, 6, 8], 5, 0, 5)).toEqual(3);
|
||||
expect(lowerBound([0, 2, 2, 2, 8], 5, 0, 5)).toEqual(4);
|
||||
|
||||
expect(lowerBound([0, 1, 2, 3, 4, 5, 6, 7, 8], 3, 2, 4)).toEqual(3);
|
||||
expect(lowerBound([0, 1, 2, 3, 4, 5, 6, 7, 8], 99, 2, 4)).toEqual(4);
|
||||
});
|
||||
|
||||
test("float path, finites", () => {
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3]), 1, 0, 4)).toEqual(1);
|
||||
|
||||
expect(lowerBound(new Float32Array([]), 0, 0, 0)).toEqual(0);
|
||||
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3]), -1, 0, 4)).toEqual(0);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3]), 0, 0, 4)).toEqual(0);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3]), 1, 0, 4)).toEqual(1);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3]), 3, 0, 4)).toEqual(3);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3]), 4, 0, 4)).toEqual(4);
|
||||
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3, 4]), -1, 0, 5)).toEqual(0);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3, 4]), 0, 0, 5)).toEqual(0);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3, 4]), 2, 0, 5)).toEqual(2);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3, 4]), 4, 0, 5)).toEqual(4);
|
||||
expect(lowerBound(new Float32Array([0, 1, 2, 3, 4]), 5, 0, 5)).toEqual(5);
|
||||
|
||||
expect(lowerBound(new Float32Array([0, 2, 4, 6, 8]), 5, 0, 5)).toEqual(3);
|
||||
expect(lowerBound(new Float32Array([0, 2, 2, 2, 8]), 5, 0, 5)).toEqual(4);
|
||||
|
||||
expect(
|
||||
lowerBound(new Float32Array([0, 1, 2, 3, 4, 5, 6, 7, 8]), 3, 2, 4)
|
||||
).toEqual(3);
|
||||
expect(
|
||||
lowerBound(new Float32Array([0, 1, 2, 3, 4, 5, 6, 7, 8]), 99, 2, 4)
|
||||
).toEqual(4);
|
||||
});
|
||||
|
||||
test("float path, non-finite", () => {
|
||||
expect(
|
||||
lowerBound(
|
||||
new Float32Array([-Infinity, 0, 1, Infinity, NaN]),
|
||||
-Infinity,
|
||||
0,
|
||||
5
|
||||
)
|
||||
).toEqual(0);
|
||||
expect(
|
||||
lowerBound(new Float32Array([-Infinity, 0, 1, Infinity, NaN]), 0, 0, 5)
|
||||
).toEqual(1);
|
||||
expect(
|
||||
lowerBound(new Float32Array([-Infinity, 0, 1, Infinity, NaN]), 1, 0, 5)
|
||||
).toEqual(2);
|
||||
expect(
|
||||
lowerBound(new Float32Array([-Infinity, 0, 1, Infinity, NaN]), 2, 0, 5)
|
||||
).toEqual(3);
|
||||
expect(
|
||||
lowerBound(
|
||||
new Float32Array([-Infinity, 0, 1, Infinity, NaN]),
|
||||
Infinity,
|
||||
0,
|
||||
5
|
||||
)
|
||||
).toEqual(3);
|
||||
expect(
|
||||
lowerBound(new Float32Array([-Infinity, 0, 1, Infinity, NaN]), NaN, 0, 5)
|
||||
).toEqual(4);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,112 @@
|
||||
import {
|
||||
sliceByIndex,
|
||||
makeSortIndex
|
||||
} from "../../../src/util/typedCrossfilter/util";
|
||||
import { rangeFill as fillRange } from "../../../src/util/range";
|
||||
|
||||
describe("fillRange", () => {
|
||||
test("Array", () => {
|
||||
expect(fillRange(new Array(6))).toMatchObject([0, 1, 2, 3, 4, 5]);
|
||||
expect(fillRange(new Array(4), 1)).toMatchObject([1, 2, 3, 4]);
|
||||
expect(fillRange([])).toMatchObject([]);
|
||||
});
|
||||
|
||||
test("Uint32Array", () => {
|
||||
expect(fillRange(new Uint32Array(6))).toMatchObject(
|
||||
new Uint32Array([0, 1, 2, 3, 4, 5])
|
||||
);
|
||||
expect(fillRange(new Array(4), 1)).toMatchObject(
|
||||
new Uint32Array([1, 2, 3, 4])
|
||||
);
|
||||
expect(fillRange([])).toMatchObject(new Uint32Array([]));
|
||||
});
|
||||
});
|
||||
|
||||
describe("sliceByIndex", () => {
|
||||
test("Array", () => {
|
||||
expect(sliceByIndex([0, 1, 2, 3, 4], [0, 1, 2])).toMatchObject([0, 1, 2]);
|
||||
expect(sliceByIndex([0, 1, 2, 3, 4], [2, 1, 0])).toMatchObject([2, 1, 0]);
|
||||
expect(sliceByIndex([0, 1, 2, 3, 4], [])).toMatchObject([]);
|
||||
expect(sliceByIndex([], [])).toMatchObject([]);
|
||||
});
|
||||
|
||||
test("Uint32Array", () => {
|
||||
expect(
|
||||
sliceByIndex([0, 1, 2, 3, 4], new Uint32Array([0, 1, 2]))
|
||||
).toMatchObject([0, 1, 2]);
|
||||
expect(
|
||||
sliceByIndex([0, 1, 2, 3, 4], new Uint32Array([2, 1, 0]))
|
||||
).toMatchObject([2, 1, 0]);
|
||||
expect(sliceByIndex([0, 1, 2, 3, 4], new Uint32Array([]))).toMatchObject(
|
||||
[]
|
||||
);
|
||||
expect(sliceByIndex([], new Uint32Array([]))).toMatchObject([]);
|
||||
|
||||
expect(
|
||||
sliceByIndex(new Uint32Array([0, 1, 2, 3, 4]), new Uint32Array([0, 1, 2]))
|
||||
).toMatchObject(new Uint32Array([0, 1, 2]));
|
||||
expect(
|
||||
sliceByIndex(new Uint32Array([0, 1, 2, 3, 4]), new Uint32Array([2, 1, 0]))
|
||||
).toMatchObject(new Uint32Array([2, 1, 0]));
|
||||
expect(
|
||||
sliceByIndex(
|
||||
new Uint32Array([0, 1, 2, 3, 4]),
|
||||
new Uint32Array(new Uint32Array([]))
|
||||
)
|
||||
).toMatchObject(new Uint32Array([]));
|
||||
expect(
|
||||
sliceByIndex(new Uint32Array([]), new Uint32Array([]))
|
||||
).toMatchObject(new Uint32Array([]));
|
||||
});
|
||||
|
||||
test("Float32Array", () => {
|
||||
expect(
|
||||
sliceByIndex(new Float32Array([0, 1, 2, 3, 4]), [0, 1, 2])
|
||||
).toMatchObject(new Float32Array([0, 1, 2]));
|
||||
expect(
|
||||
sliceByIndex(new Float32Array([0, 1, 2, 3, 4]), [2, 1, 0])
|
||||
).toMatchObject(new Float32Array([2, 1, 0]));
|
||||
expect(sliceByIndex(new Float32Array([0, 1, 2, 3, 4]), [])).toMatchObject(
|
||||
new Float32Array([])
|
||||
);
|
||||
expect(sliceByIndex(new Float32Array([]), [])).toMatchObject(
|
||||
new Float32Array([])
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe("makeSortIndex", () => {
|
||||
test("Array", () => {
|
||||
expect(makeSortIndex([3, 2, 1, 0])).toMatchObject(
|
||||
new Uint32Array([3, 2, 1, 0])
|
||||
);
|
||||
expect(makeSortIndex([3, 2, 1, 0, 4])).toMatchObject(
|
||||
new Uint32Array([3, 2, 1, 0, 4])
|
||||
);
|
||||
expect(makeSortIndex([])).toMatchObject(new Uint32Array([]));
|
||||
});
|
||||
|
||||
test("Float32Array", () => {
|
||||
expect(makeSortIndex(new Float32Array([3, 2, 1, 0]))).toMatchObject(
|
||||
new Uint32Array([3, 2, 1, 0])
|
||||
);
|
||||
expect(makeSortIndex(new Float32Array([3, 2, 1, 0, 4]))).toMatchObject(
|
||||
new Uint32Array([3, 2, 1, 0, 4])
|
||||
);
|
||||
expect(makeSortIndex(new Float32Array([]))).toMatchObject(
|
||||
new Uint32Array([])
|
||||
);
|
||||
});
|
||||
|
||||
test("Int32Array", () => {
|
||||
expect(makeSortIndex(new Int32Array([3, 2, 1, 0]))).toMatchObject(
|
||||
new Uint32Array([3, 2, 1, 0])
|
||||
);
|
||||
expect(makeSortIndex(new Int32Array([3, 2, 1, 0, 4]))).toMatchObject(
|
||||
new Uint32Array([3, 2, 1, 0, 4])
|
||||
);
|
||||
expect(makeSortIndex(new Int32Array([]))).toMatchObject(
|
||||
new Uint32Array([])
|
||||
);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,16 @@
|
||||
module.exports = {
|
||||
babelrc: false,
|
||||
cacheDirectory: true,
|
||||
presets: [
|
||||
["modern-browsers", { loose: true, modules: false }],
|
||||
"@babel/preset-react"
|
||||
],
|
||||
plugins: [
|
||||
"@babel/plugin-proposal-function-bind",
|
||||
["@babel/plugin-proposal-decorators", { legacy: true }],
|
||||
["@babel/plugin-proposal-class-properties", { loose: true }],
|
||||
"@babel/plugin-proposal-export-namespace-from",
|
||||
"@babel/plugin-proposal-optional-chaining",
|
||||
"@babel/plugin-proposal-nullish-coalescing-operator"
|
||||
]
|
||||
};
|
||||
@@ -0,0 +1,17 @@
|
||||
module.exports = {
|
||||
babelrc: false,
|
||||
presets: [
|
||||
["modern-browsers", { loose: true, modules: false }],
|
||||
"@babel/preset-react"
|
||||
],
|
||||
plugins: [
|
||||
"@babel/plugin-proposal-function-bind",
|
||||
["@babel/plugin-proposal-decorators", { legacy: true }],
|
||||
["@babel/plugin-proposal-class-properties", { loose: true }],
|
||||
"@babel/plugin-proposal-export-namespace-from",
|
||||
"@babel/plugin-transform-react-constant-elements",
|
||||
"@babel/plugin-transform-runtime",
|
||||
"@babel/plugin-proposal-optional-chaining",
|
||||
"@babel/plugin-proposal-nullish-coalescing-operator"
|
||||
]
|
||||
};
|
||||
@@ -0,0 +1,58 @@
|
||||
module.exports = {
|
||||
root: true,
|
||||
parser: "babel-eslint",
|
||||
extends: ["airbnb", "prettier", "prettier/react"],
|
||||
env: { browser: true, commonjs: true, es6: true },
|
||||
globals: { expect: true },
|
||||
parserOptions: {
|
||||
ecmaVersion: 2017,
|
||||
sourceType: "module",
|
||||
ecmaFeatures: {
|
||||
jsx: true,
|
||||
generators: true
|
||||
}
|
||||
},
|
||||
rules: {
|
||||
"no-magic-numbers": "off",
|
||||
"no-nested-ternary": "off",
|
||||
"func-style": "off",
|
||||
"arrow-parens": "off",
|
||||
"no-use-before-define": "off",
|
||||
"react/jsx-filename-extension": "off",
|
||||
"comma-dangle": "off",
|
||||
"no-underscore-dangle": "off",
|
||||
quotes: ["error", "double"],
|
||||
"implicit-arrow-linebreak": "off",
|
||||
"operator-linebreak": [
|
||||
"error",
|
||||
"after",
|
||||
{ overrides: { "?": "before", ":": "before" } }
|
||||
],
|
||||
"no-console": "off",
|
||||
"spaced-comment": ["error", "always", { exceptions: ["*"] }],
|
||||
"no-param-reassign": "off",
|
||||
"object-curly-newline": ["error", { consistent: true }],
|
||||
"react/prop-types": [0],
|
||||
"space-before-function-paren": "off",
|
||||
"function-paren-newline": "off",
|
||||
"prefer-destructuring": ["error", { object: true, array: false }]
|
||||
},
|
||||
overrides: [
|
||||
{
|
||||
files: ["**/*.test.js"],
|
||||
env: {
|
||||
jest: true // now **/*.test.js files' env has both es6 *and* jest
|
||||
},
|
||||
// Can't extend in overrides: https://github.com/eslint/eslint/issues/8813
|
||||
// "extends": ["plugin:jest/recommended"]
|
||||
plugins: ["jest"],
|
||||
rules: {
|
||||
"jest/no-disabled-tests": "warn",
|
||||
"jest/no-focused-tests": "error",
|
||||
"jest/no-identical-title": "error",
|
||||
"jest/prefer-to-have-length": "warn",
|
||||
"jest/valid-expect": "error"
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
+37
-28
@@ -1,41 +1,61 @@
|
||||
// jshint esversion: 6
|
||||
const path = require("path");
|
||||
const autoprefixer = require("autoprefixer");
|
||||
const webpack = require("webpack");
|
||||
const HtmlWebpackPlugin = require("html-webpack-plugin");
|
||||
|
||||
const src = path.resolve("src");
|
||||
const nodeModules = path.resolve("node_modules");
|
||||
|
||||
const babelOptions = require("../babel/babel.dev");
|
||||
|
||||
module.exports = {
|
||||
mode: "development",
|
||||
devtool: "eval",
|
||||
entry: [
|
||||
"webpack-hot-middleware/client?quiet=true&noInfo=true",
|
||||
require.resolve("react-hot-loader/patch"),
|
||||
require.resolve("../polyfills/polyfills"),
|
||||
path.join(src, "index")
|
||||
],
|
||||
entry: ["./src/index"],
|
||||
output: {
|
||||
path: path.resolve("build"),
|
||||
pathinfo: true,
|
||||
filename: "static/js/bundle.js",
|
||||
publicPath: "/"
|
||||
},
|
||||
resolve: { extensions: [".js", ".json"] },
|
||||
module: {
|
||||
loaders: [
|
||||
rules: [
|
||||
{
|
||||
test: /\.js$/,
|
||||
include: src,
|
||||
loader: "babel-loader",
|
||||
query: require("../babel/babel.dev")
|
||||
options: babelOptions
|
||||
},
|
||||
{
|
||||
test: /\.css$/,
|
||||
include: [src, nodeModules],
|
||||
loader:
|
||||
"style-loader!css-loader?modules&importLoaders=1&localIdentName=[name]__[local]___[hash:base64:5]!postcss-loader"
|
||||
include: src,
|
||||
exclude: [path.resolve(src, "index.css")],
|
||||
loader: [
|
||||
{
|
||||
loader: "style-loader"
|
||||
},
|
||||
{
|
||||
loader: "css-loader",
|
||||
options: {
|
||||
modules: true,
|
||||
localIdentName: "[name]__[local]___[hash:base64:5]"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
test: /index\.css$/,
|
||||
include: [path.resolve(src, "index.css")],
|
||||
loader: [
|
||||
{
|
||||
loader: "style-loader"
|
||||
},
|
||||
{
|
||||
loader: "css-loader"
|
||||
}
|
||||
]
|
||||
},
|
||||
|
||||
{ test: /\.json$/, include: [src, nodeModules], loader: "json-loader" },
|
||||
{
|
||||
test: /\.(jpg|png|gif|eot|svg|ttf|woff|woff2)(\?.*)?$/,
|
||||
@@ -57,20 +77,9 @@ module.exports = {
|
||||
template: path.resolve("index.html"),
|
||||
favicon: path.resolve("favicon.png")
|
||||
}),
|
||||
new webpack.LoaderOptionsPlugin({
|
||||
options: {
|
||||
eslint: {
|
||||
configFile: path.resolve("./configuration/eslint/eslint.js"),
|
||||
useEslintrc: false
|
||||
},
|
||||
postcss() {
|
||||
return [autoprefixer];
|
||||
}
|
||||
}
|
||||
}),
|
||||
new webpack.DefinePlugin({ "process.env.NODE_ENV": '"development"' }),
|
||||
// Note: only CSS is currently hot reloaded
|
||||
new webpack.HotModuleReplacementPlugin(),
|
||||
new webpack.NoEmitOnErrorsPlugin()
|
||||
new webpack.NoEmitOnErrorsPlugin(),
|
||||
new webpack.DefinePlugin({
|
||||
__REACT_DEVTOOLS_GLOBAL_HOOK__: "({ isDisabled: true })"
|
||||
})
|
||||
]
|
||||
};
|
||||
+46
-33
@@ -1,46 +1,64 @@
|
||||
// jshint esversion: 6
|
||||
const path = require("path");
|
||||
const autoprefixer = require("autoprefixer");
|
||||
const webpack = require("webpack");
|
||||
const HtmlWebpackPlugin = require("html-webpack-plugin");
|
||||
const ExtractTextPlugin = require("extract-text-webpack-plugin");
|
||||
const MiniCssExtractPlugin = require("mini-css-extract-plugin");
|
||||
const SWPrecacheWebpackPlugin = require("sw-precache-webpack-plugin");
|
||||
const CopyWebpackPlugin = require("copy-webpack-plugin");
|
||||
const HtmlWebpackInlineSourcePlugin = require("html-webpack-inline-source-plugin");
|
||||
const MinifyPlugin = require("babel-minify-webpack-plugin");
|
||||
|
||||
const src = path.resolve("src");
|
||||
const nodeModules = path.resolve("node_modules");
|
||||
|
||||
const publicPath = "/";
|
||||
const babelOptions = require("../babel/babel.prod");
|
||||
|
||||
const publicPath = "";
|
||||
|
||||
module.exports = {
|
||||
mode: "production",
|
||||
bail: true,
|
||||
cache: false,
|
||||
devtool: "cheap-source-map",
|
||||
entry: [require.resolve("../polyfills/polyfills"), path.join(src, "index")],
|
||||
entry: ["./src/index.js"],
|
||||
output: {
|
||||
path: path.resolve("build"),
|
||||
filename: "static/js/[name].[chunkhash:8].js",
|
||||
chunkFilename: "static/js/[name].[chunkhash:8].chunk.js",
|
||||
publicPath
|
||||
},
|
||||
resolve: { extensions: [".js", ".json"] },
|
||||
module: {
|
||||
loaders: [
|
||||
rules: [
|
||||
{
|
||||
test: /\.js$/,
|
||||
include: src,
|
||||
loader: "babel-loader",
|
||||
query: require("../babel/babel.prod")
|
||||
options: babelOptions
|
||||
},
|
||||
{
|
||||
test: /\.css$/,
|
||||
include: [src, nodeModules],
|
||||
loader: ExtractTextPlugin.extract({
|
||||
fallbackLoader: "style-loader",
|
||||
loader:
|
||||
"css-loader?modules&importLoaders=1&localIdentName=[name]__[local]___[hash:base64:5]-autoprefixer!postcss-loader"
|
||||
})
|
||||
include: src,
|
||||
exclude: [path.resolve(src, "index.css")],
|
||||
use: [
|
||||
MiniCssExtractPlugin.loader,
|
||||
{
|
||||
loader: "css-loader",
|
||||
options: {
|
||||
modules: true,
|
||||
importLoaders: 1,
|
||||
localIdentName: "[name]__[local]___[hash:base64:5]"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
test: /index\.css$/,
|
||||
include: [path.resolve(src, "index.css")],
|
||||
use: [
|
||||
MiniCssExtractPlugin.loader,
|
||||
{
|
||||
loader: "css-loader",
|
||||
options: {
|
||||
importLoaders: 1
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
test: /\.json$/,
|
||||
@@ -52,7 +70,10 @@ module.exports = {
|
||||
test: /\.(jpg|png|gif|eot|svg|ttf|woff|woff2)(\?.*)?$/,
|
||||
include: [src, nodeModules],
|
||||
loader: "file-loader",
|
||||
query: { name: "static/media/[name].[hash:8].[ext]" }
|
||||
options: {
|
||||
name: "[name].[hash:8].[ext]",
|
||||
outputPath: "static/media/"
|
||||
}
|
||||
},
|
||||
{
|
||||
test: /\.(mp4|webm)(\?.*)?$/,
|
||||
@@ -83,24 +104,16 @@ module.exports = {
|
||||
}
|
||||
}),
|
||||
new HtmlWebpackInlineSourcePlugin(),
|
||||
new webpack.LoaderOptionsPlugin({
|
||||
options: {
|
||||
eslint: {
|
||||
configFile: path.resolve("./configuration/eslint/eslint.js"),
|
||||
useEslintrc: false
|
||||
},
|
||||
postcss() {
|
||||
return [autoprefixer];
|
||||
}
|
||||
}
|
||||
new MiniCssExtractPlugin({
|
||||
filename: "static/css/[name].[contenthash:8].css"
|
||||
}),
|
||||
new webpack.DefinePlugin({ "process.env.NODE_ENV": '"production"' }),
|
||||
new webpack.optimize.OccurrenceOrderPlugin(),
|
||||
new MinifyPlugin(),
|
||||
new ExtractTextPlugin("static/css/[name].[contenthash:8].css"),
|
||||
new SWPrecacheWebpackPlugin({
|
||||
cacheId: "cellxgene",
|
||||
filename: "service-worker.js"
|
||||
})
|
||||
]
|
||||
],
|
||||
performance: {
|
||||
maxEntrypointSize: 2000000,
|
||||
maxAssetSize: 2000000
|
||||
}
|
||||
};
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 312 B |
@@ -3,12 +3,12 @@
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
<title>Cellx</title>
|
||||
<link href="https://fonts.googleapis.com/css?family=Roboto:400,400i,700" rel="stylesheet">
|
||||
<title>cell×gene</title>
|
||||
<link href="https://fonts.googleapis.com/css?family=Roboto+Condensed:400,400i,700" rel="stylesheet">
|
||||
<style>
|
||||
html, body, p, h1, h2, h3, h4, h5, h6, span, button, input {
|
||||
font-family: 'Roboto','Helvetica Neue','Helvetica','Arial',sans-serif;
|
||||
font-size: 16px;
|
||||
html, body, p, h1, h2, h3, h4, h5, h6, span, button, input, label, text, div {
|
||||
font-family: 'Roboto Condensed','Helvetica Neue','Helvetica','Arial',sans-serif;
|
||||
font-size: 14px;
|
||||
}
|
||||
body {
|
||||
margin: 0;
|
||||
@@ -24,7 +24,6 @@
|
||||
<noscript>If you're seeing this message, that means <strong>JavaScript has been disabled on your browser</strong>, please <strong>enable JS</strong> to make this app work.</noscript>
|
||||
|
||||
<div id="root"></div>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.10.0/d3.js"></script>
|
||||
<script src="//d3js.org/d3-scale-chromatic.v0.3.min.js"></script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@@ -0,0 +1,42 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
<title>cell×gene</title>
|
||||
<link href="https://fonts.googleapis.com/css?family=Roboto+Condensed:400,400i,700" rel="stylesheet">
|
||||
<style>
|
||||
html, body, p, h1, h2, h3, h4, h5, h6, span, button, input, label, text, div {
|
||||
font-family: 'Roboto Condensed', 'Helvetica Neue', 'Helvetica', 'Arial', sans-serif;
|
||||
font-size: 14px;
|
||||
}
|
||||
|
||||
body {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
}
|
||||
</style>
|
||||
|
||||
</head>
|
||||
<body>
|
||||
<script type="text/javascript">
|
||||
window.CELLXGENE = {};
|
||||
window.CELLXGENE.API = {
|
||||
prefix: window.location.href + "api/",
|
||||
version: "v0.2/"
|
||||
};
|
||||
</script>
|
||||
<noscript>If you're seeing this message, that means <strong>JavaScript has been disabled on your browser</strong>,
|
||||
please <strong>enable JS</strong> to make this app work.
|
||||
</noscript>
|
||||
|
||||
<div id="root"></div>
|
||||
{% for script in SCRIPTS %}
|
||||
<script type="text/javascript" src="{{script | safe}}"></script>
|
||||
{% endfor %}
|
||||
</body>
|
||||
</html>
|
||||
Generated
+16961
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,155 @@
|
||||
{
|
||||
"name": "cellxgene",
|
||||
"version": "0.11.0",
|
||||
"license": "MIT",
|
||||
"description": "cellxgene is a web application for the interactive exploration of single cell sequence data.",
|
||||
"repository": "https://github.com/chanzuckerberg/cellxgene",
|
||||
"scripts": {
|
||||
"backend-dev": "python3.6 -m venv cellxgene && source cellxgene/bin/activate && yes | pip uninstall cellxgene || true && pip install -e .. && cellxgene launch ",
|
||||
"build": "npm run clean && webpack --config configuration/webpack/webpack.config.prod.js",
|
||||
"clean": "rimraf build",
|
||||
"dev": "npm run clean && webpack --config configuration/webpack/webpack.config.dev.js",
|
||||
"e2e": "node node_modules/jest/bin/jest.js --verbose false --config __tests__/e2e/e2eJestConfig.json e2e/e2e.test.js",
|
||||
"lint": "eslint src",
|
||||
"smoke-test": "start-server-and-test start-server-for-test :5000 e2e",
|
||||
"start": "node server/development.js",
|
||||
"start-server-for-test": "cellxgene launch -p 5000 ../example-dataset/pbmc3k.h5ad",
|
||||
"test": "node node_modules/jest/bin/jest.js",
|
||||
"unit-test": "node node_modules/jest/bin/jest.js --testPathIgnorePatterns e2e"
|
||||
},
|
||||
"engineStrict": true,
|
||||
"engines": {
|
||||
"npm": ">=3.0.0"
|
||||
},
|
||||
"eslintConfig": {
|
||||
"extends": "./configuration/eslint/eslint.js"
|
||||
},
|
||||
"eslintIgnore": [
|
||||
"src/util/stateManager/matrix_generated.js"
|
||||
],
|
||||
"resolutions": {
|
||||
"eslint-scope": "3.7.1"
|
||||
},
|
||||
"dependencies": {
|
||||
"@blueprintjs/core": "^3.15.1",
|
||||
"@blueprintjs/icons": "^3.8.0",
|
||||
"@blueprintjs/select": "^3.8.0",
|
||||
"canvas-fit": "^1.5.0",
|
||||
"d3": "^4.10.0",
|
||||
"d3-scale-chromatic": "^1.3.0",
|
||||
"flatbuffers": "^1.10.2",
|
||||
"font-color-contrast": "^1.0.3",
|
||||
"fuzzysort": "^1.1.4",
|
||||
"gl-mat4": "^1.1.4",
|
||||
"gl-matrix": "^3.0.0",
|
||||
"gl-vec3": "^1.1.3",
|
||||
"is-number": "^7.0.0",
|
||||
"key-pressed": "0.0.1",
|
||||
"lodash": "^4.17.14",
|
||||
"memoize-one": "^5.0.4",
|
||||
"mouse-position": "^2.0.1",
|
||||
"mouse-pressed": "^1.0.0",
|
||||
"orbit-camera": "^1.0.0",
|
||||
"query-string": "^6.5.0",
|
||||
"react": "^16.8.6",
|
||||
"react-autocomplete": "^1.7.2",
|
||||
"react-dom": "^16.8.6",
|
||||
"react-helmet": "^5.2.1",
|
||||
"react-icons": "^3.7.0",
|
||||
"react-redux": "^7.0.3",
|
||||
"redux": "^4.0.1",
|
||||
"redux-thunk": "^2.2.0",
|
||||
"regl": "^1.3.11",
|
||||
"scroll-speed": "^1.0.0",
|
||||
"urijs": "^1.19.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@babel/core": "^7.4.4",
|
||||
"@babel/plugin-proposal-class-properties": "^7.4.4",
|
||||
"@babel/plugin-proposal-decorators": "^7.4.4",
|
||||
"@babel/plugin-proposal-export-namespace-from": "^7.2.0",
|
||||
"@babel/plugin-proposal-function-bind": "^7.2.0",
|
||||
"@babel/plugin-proposal-nullish-coalescing-operator": "^7.4.4",
|
||||
"@babel/plugin-proposal-optional-chaining": "^7.2.0",
|
||||
"@babel/plugin-transform-react-constant-elements": "^7.2.0",
|
||||
"@babel/plugin-transform-runtime": "^7.4.4",
|
||||
"@babel/preset-env": "^7.4.4",
|
||||
"@babel/preset-react": "^7.0.0",
|
||||
"@babel/register": "^7.4.4",
|
||||
"@babel/runtime": "^7.4.4",
|
||||
"babel-eslint": "^10.0.1",
|
||||
"babel-jest": "^24.8.0",
|
||||
"babel-loader": "^8.0.6",
|
||||
"babel-preset-modern-browsers": "^14.0.0",
|
||||
"chalk": "^2.4.2",
|
||||
"connect-history-api-fallback": "^1.6.0",
|
||||
"copy-webpack-plugin": "^5.0.3",
|
||||
"css-loader": "^2.1.1",
|
||||
"eslint": "^5.16.0",
|
||||
"eslint-config-airbnb": "^17.1.0",
|
||||
"eslint-config-prettier": "^4.2.0",
|
||||
"eslint-loader": "^2.1.2",
|
||||
"eslint-plugin-filenames": "^1.3.2",
|
||||
"eslint-plugin-import": "^2.17.2",
|
||||
"eslint-plugin-jest": "^22.5.1",
|
||||
"eslint-plugin-jsx-a11y": "^6.2.1",
|
||||
"eslint-plugin-react": "^7.13.0",
|
||||
"express": "^4.14.0",
|
||||
"file-loader": "^3.0.1",
|
||||
"html-webpack-inline-source-plugin": "0.0.10",
|
||||
"html-webpack-plugin": "^3.2.0",
|
||||
"jest": "^24.8.0",
|
||||
"jest-puppeteer": "^4.1.1",
|
||||
"json-loader": "^0.5.4",
|
||||
"mini-css-extract-plugin": "^0.6.0",
|
||||
"puppeteer": "^1.16.0",
|
||||
"rimraf": "^2.6.3",
|
||||
"serve-favicon": "^2.3.0",
|
||||
"start-server-and-test": "^1.9.0",
|
||||
"style-loader": "^0.23.1",
|
||||
"sw-precache-webpack-plugin": "^0.11.5",
|
||||
"url-loader": "^1.1.0",
|
||||
"webpack": "^4.31.0",
|
||||
"webpack-cli": "^3.3.2",
|
||||
"webpack-dev-middleware": "^3.6.2"
|
||||
},
|
||||
"jest": {
|
||||
"testMatch": [
|
||||
"**/__tests__/**/?(*.)(spec|test).js?(x)"
|
||||
],
|
||||
"testURL": "http://localhost/",
|
||||
"setupFiles": [
|
||||
"./__tests__/setupMissingGlobals.js"
|
||||
]
|
||||
},
|
||||
"babel": {
|
||||
"env": {
|
||||
"test": {
|
||||
"presets": [
|
||||
"@babel/preset-env",
|
||||
"@babel/preset-react"
|
||||
],
|
||||
"plugins": [
|
||||
"@babel/plugin-proposal-function-bind",
|
||||
[
|
||||
"@babel/plugin-proposal-decorators",
|
||||
{
|
||||
"legacy": true
|
||||
}
|
||||
],
|
||||
[
|
||||
"@babel/plugin-proposal-class-properties",
|
||||
{
|
||||
"loose": true
|
||||
}
|
||||
],
|
||||
"@babel/plugin-proposal-export-namespace-from",
|
||||
"@babel/plugin-transform-react-constant-elements",
|
||||
"@babel/plugin-transform-runtime",
|
||||
"@babel/plugin-proposal-optional-chaining",
|
||||
"@babel/plugin-proposal-nullish-coalescing-operator"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -32,13 +32,11 @@ app.use(historyApiFallback({ verbose: false }));
|
||||
|
||||
app.use(
|
||||
require("webpack-dev-middleware")(compiler, {
|
||||
noInfo: true,
|
||||
logLevel: "warn",
|
||||
publicPath: config.output.publicPath
|
||||
})
|
||||
);
|
||||
|
||||
app.use(require("webpack-hot-middleware")(compiler));
|
||||
|
||||
app.use(favicon("./favicon.png"));
|
||||
|
||||
app.get("*", (req, res) => {
|
||||
@@ -0,0 +1,350 @@
|
||||
// jshint esversion: 6
|
||||
import _ from "lodash";
|
||||
import * as globals from "../globals";
|
||||
import { Universe } from "../util/stateManager";
|
||||
import {
|
||||
catchErrorsWrap,
|
||||
doJsonRequest,
|
||||
doBinaryRequest,
|
||||
dispatchNetworkErrorMessageToUser
|
||||
} from "../util/actionHelpers";
|
||||
|
||||
/*
|
||||
Bootstrap application with the initial data loading.
|
||||
* /config - application configuration
|
||||
* /schema - schema of dataframe
|
||||
* /annotations - all metadata annotation
|
||||
* /layout - all default layout
|
||||
*/
|
||||
const doInitialDataLoad = () =>
|
||||
catchErrorsWrap(async dispatch => {
|
||||
dispatch({ type: "initial data load start" });
|
||||
|
||||
try {
|
||||
/*
|
||||
Step 1 - config & schema, all JSON
|
||||
*/
|
||||
const requestJson = ["config", "schema"]
|
||||
.map(r => `${globals.API.prefix}${globals.API.version}${r}`)
|
||||
.map(url => doJsonRequest(url));
|
||||
const stepOneResults = await Promise.all(requestJson);
|
||||
/* set config defaults */
|
||||
const config = { ...globals.configDefaults, ...stepOneResults[0].config };
|
||||
const schema = stepOneResults[1];
|
||||
|
||||
/*
|
||||
Step 2 - dataframes, all binary. NOTE: uses results of step 1.
|
||||
*/
|
||||
/* only load names for var annotations, if possible*/
|
||||
const varIndexName = schema?.schema?.annotations?.var?.index;
|
||||
const varAnnotationsQuery = varIndexName
|
||||
? `?annotation-name=${varIndexName}`
|
||||
: "";
|
||||
const varAnnotationsURL = `annotations/var${varAnnotationsQuery}`;
|
||||
const requestBinary = ["annotations/obs", varAnnotationsURL, "layout/obs"]
|
||||
.map(r => `${globals.API.prefix}${globals.API.version}${r}`)
|
||||
.map(url => doBinaryRequest(url));
|
||||
const stepTwoResults = await Promise.all(requestBinary);
|
||||
const [obsAnno, varAnno, obsLayout] = [...stepTwoResults];
|
||||
|
||||
const universe = Universe.createUniverseFromResponse(
|
||||
config,
|
||||
schema,
|
||||
obsAnno,
|
||||
varAnno,
|
||||
obsLayout
|
||||
);
|
||||
|
||||
dispatch({
|
||||
type: "configuration load complete",
|
||||
config
|
||||
});
|
||||
dispatch({
|
||||
type: "initial data load complete (universe exists)",
|
||||
universe
|
||||
});
|
||||
} catch (error) {
|
||||
dispatch({ type: "initial data load error", error });
|
||||
}
|
||||
}, true);
|
||||
|
||||
/*
|
||||
Set the view (world) to current selection. Placeholder for an async action
|
||||
which also does re-layout.
|
||||
*/
|
||||
const regraph = () => (dispatch, getState) => {
|
||||
const { universe, world, crossfilter } = getState();
|
||||
dispatch({
|
||||
type: "set World to current selection",
|
||||
universe,
|
||||
world,
|
||||
crossfilter
|
||||
});
|
||||
};
|
||||
|
||||
// Throws
|
||||
const dispatchExpressionErrors = (dispatch, res) => {
|
||||
const msg = `Unexpected HTTP response while fetching expression data ${
|
||||
res.status
|
||||
}, ${res.statusText}`;
|
||||
dispatchNetworkErrorMessageToUser(msg);
|
||||
throw new Error(msg);
|
||||
};
|
||||
|
||||
/*
|
||||
Fetch expression vectors for each gene in genes. This is NOT an action
|
||||
function, but rather a helper to be called from an action helper that
|
||||
needs expression data.
|
||||
|
||||
Transparently utilizes cached data if it is already present.
|
||||
*/
|
||||
async function _doRequestExpressionData(dispatch, getState, genes) {
|
||||
const state = getState();
|
||||
const { universe } = state;
|
||||
const varIndexName = universe.schema.annotations.var.index;
|
||||
|
||||
/* helper for this function only */
|
||||
const fetchData = async geneNames => {
|
||||
const res = await fetch(
|
||||
`${globals.API.prefix}${globals.API.version}data/var`,
|
||||
{
|
||||
method: "PUT",
|
||||
body: JSON.stringify({
|
||||
filter: {
|
||||
var: {
|
||||
annotation_value: [{ name: varIndexName, values: geneNames }]
|
||||
}
|
||||
}
|
||||
}),
|
||||
headers: new Headers({
|
||||
accept: "application/octet-stream",
|
||||
"Content-Type": "application/json"
|
||||
})
|
||||
}
|
||||
);
|
||||
|
||||
if (
|
||||
!res.ok ||
|
||||
res.headers.get("Content-Type") !== "application/octet-stream"
|
||||
) {
|
||||
// WILL throw
|
||||
return dispatchExpressionErrors(dispatch, res);
|
||||
}
|
||||
|
||||
const data = await res.arrayBuffer();
|
||||
return Universe.convertDataFBStoObject(universe, data);
|
||||
};
|
||||
|
||||
/* preload data already in cache */
|
||||
let expressionData = _.transform(
|
||||
genes,
|
||||
(expData, g) => {
|
||||
const data = universe.varData.col(g);
|
||||
if (data) {
|
||||
expData[g] = data.asArray();
|
||||
}
|
||||
},
|
||||
{}
|
||||
); // --> { gene: data }
|
||||
/* make a list of genes for which we do not have data */
|
||||
const genesToFetch = _.filter(genes, g => expressionData[g] === undefined);
|
||||
|
||||
dispatch({ type: "expression load start" });
|
||||
|
||||
/* Fetch data for any genes not in cache */
|
||||
if (genesToFetch.length) {
|
||||
try {
|
||||
const newExpressionData = await fetchData(genesToFetch);
|
||||
expressionData = {
|
||||
...expressionData,
|
||||
...newExpressionData
|
||||
};
|
||||
} catch (error) {
|
||||
dispatch({ type: "expression load error", error });
|
||||
throw error; // rethrow
|
||||
}
|
||||
}
|
||||
|
||||
dispatch({ type: "expression load success", expressionData });
|
||||
return expressionData;
|
||||
}
|
||||
|
||||
function requestSingleGeneExpressionCountsForColoringPOST(gene) {
|
||||
return async (dispatch, getState) => {
|
||||
dispatch({ type: "get single gene expression for coloring started" });
|
||||
try {
|
||||
await _doRequestExpressionData(dispatch, getState, [gene]);
|
||||
const { world } = getState();
|
||||
dispatch({
|
||||
type: "color by expression",
|
||||
gene,
|
||||
data: {
|
||||
[gene]: world.varData.col(gene).asArray()
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
dispatch({
|
||||
type: "get single gene expression for coloring error",
|
||||
error
|
||||
});
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
const requestUserDefinedGene = gene => async (dispatch, getState) => {
|
||||
dispatch({ type: "request user defined gene started" });
|
||||
try {
|
||||
await await _doRequestExpressionData(dispatch, getState, [gene]);
|
||||
const { world } = getState();
|
||||
|
||||
/* then send the success case action through */
|
||||
return dispatch({
|
||||
type: "request user defined gene success",
|
||||
data: {
|
||||
genes: [gene],
|
||||
expression: world.varData.col(gene).asArray()
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
return dispatch({
|
||||
type: "request user defined gene error",
|
||||
error
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
const dispatchDiffExpErrors = (dispatch, response) => {
|
||||
switch (response.status) {
|
||||
case 403:
|
||||
dispatchNetworkErrorMessageToUser(
|
||||
"Too many cells selected for differential experesion calculation - please make a smaller selection."
|
||||
);
|
||||
break;
|
||||
case 501:
|
||||
dispatchNetworkErrorMessageToUser(
|
||||
"Differential expression is not implemented."
|
||||
);
|
||||
break;
|
||||
default: {
|
||||
const msg = `Unexpected differential expression HTTP response ${
|
||||
response.status
|
||||
}, ${response.statusText}`;
|
||||
dispatchNetworkErrorMessageToUser(msg);
|
||||
dispatch({
|
||||
type: "request differential expression error",
|
||||
error: new Error(msg)
|
||||
});
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const requestDifferentialExpression = (set1, set2, num_genes = 10) => async (
|
||||
dispatch,
|
||||
getState
|
||||
) => {
|
||||
dispatch({ type: "request differential expression started" });
|
||||
try {
|
||||
/*
|
||||
Steps:
|
||||
1. get the most differentially expressed genes
|
||||
2. get expression data for each
|
||||
*/
|
||||
const state = getState();
|
||||
const { universe } = state;
|
||||
const varIndexName = universe.schema.annotations.var.index;
|
||||
|
||||
// Legal values are null, Array or TypedArray. Null is initial state.
|
||||
if (!set1) set1 = [];
|
||||
if (!set2) set2 = [];
|
||||
|
||||
// These lines ensure that we convert any TypedArray to an Array.
|
||||
// This is necessary because JSON.stringify() does some very strange
|
||||
// things with TypedArrays (they are marshalled to JSON objects, rather
|
||||
// than being marshalled as a JSON array).
|
||||
set1 = Array.isArray(set1) ? set1 : Array.from(set1);
|
||||
set2 = Array.isArray(set2) ? set2 : Array.from(set2);
|
||||
|
||||
const res = await fetch(
|
||||
`${globals.API.prefix}${globals.API.version}diffexp/obs`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: new Headers({
|
||||
Accept: "application/json",
|
||||
"Content-Type": "application/json"
|
||||
}),
|
||||
body: JSON.stringify({
|
||||
mode: "topN",
|
||||
count: num_genes,
|
||||
set1: { filter: { obs: { index: set1 } } },
|
||||
set2: { filter: { obs: { index: set2 } } }
|
||||
})
|
||||
}
|
||||
);
|
||||
|
||||
if (!res.ok || res.headers.get("Content-Type") !== "application/json") {
|
||||
return dispatchDiffExpErrors(dispatch, res);
|
||||
}
|
||||
|
||||
const data = await res.json();
|
||||
// result is [ [varIdx, ...], ... ]
|
||||
const topNGenes = _.map(data, r =>
|
||||
universe.varAnnotations.at(r[0], varIndexName)
|
||||
);
|
||||
|
||||
/*
|
||||
Kick off secondary action to fetch all of the expression data for the
|
||||
topN expressed genes.
|
||||
*/
|
||||
await _doRequestExpressionData(dispatch, getState, topNGenes);
|
||||
|
||||
/* then send the success case action through */
|
||||
return dispatch({
|
||||
type: "request differential expression success",
|
||||
data
|
||||
});
|
||||
} catch (error) {
|
||||
return dispatch({
|
||||
type: "request differential expression error",
|
||||
error
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
const resetInterface = () => (dispatch, getState) => {
|
||||
const { universe } = getState();
|
||||
|
||||
dispatch({
|
||||
type: "user reset start"
|
||||
});
|
||||
dispatch({
|
||||
type: "clear all user defined genes"
|
||||
});
|
||||
dispatch({
|
||||
type: "clear differential expression"
|
||||
});
|
||||
dispatch({
|
||||
type: "reset colorscale"
|
||||
});
|
||||
dispatch({
|
||||
type: "clear scatterplot"
|
||||
});
|
||||
dispatch({
|
||||
type: "reset World to eq Universe",
|
||||
universe
|
||||
});
|
||||
dispatch({
|
||||
type: "increment graph render counter"
|
||||
});
|
||||
dispatch({
|
||||
type: "user reset end"
|
||||
});
|
||||
};
|
||||
|
||||
export default {
|
||||
regraph,
|
||||
resetInterface,
|
||||
requestSingleGeneExpressionCountsForColoringPOST,
|
||||
requestDifferentialExpression,
|
||||
requestUserDefinedGene,
|
||||
doInitialDataLoad
|
||||
};
|
||||
@@ -0,0 +1,99 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import Helmet from "react-helmet";
|
||||
import { connect } from "react-redux";
|
||||
|
||||
import Container from "./framework/container";
|
||||
import LeftSideBar from "./leftSidebar";
|
||||
import Legend from "./continuousLegend";
|
||||
import Graph from "./graph/graph";
|
||||
import MenuBar from "./menubar";
|
||||
|
||||
import actions from "../actions";
|
||||
|
||||
@connect(state => ({
|
||||
loading: state.controls.loading,
|
||||
error: state.controls.error,
|
||||
graphRenderCounter: state.controls.graphRenderCounter
|
||||
}))
|
||||
class App extends React.Component {
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.state = {};
|
||||
}
|
||||
|
||||
componentDidMount() {
|
||||
const { dispatch } = this.props;
|
||||
|
||||
/* listen for url changes, fire one when we start the app up */
|
||||
window.addEventListener("popstate", this._onURLChanged);
|
||||
this._onURLChanged();
|
||||
|
||||
dispatch(actions.doInitialDataLoad(window.location.search));
|
||||
|
||||
/* listen for resize events */
|
||||
window.addEventListener("resize", () => {
|
||||
dispatch({
|
||||
type: "window resize",
|
||||
data: {
|
||||
height: window.innerHeight,
|
||||
width: window.innerWidth
|
||||
}
|
||||
});
|
||||
});
|
||||
dispatch({
|
||||
type: "window resize",
|
||||
data: {
|
||||
height: window.innerHeight,
|
||||
width: window.innerWidth
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
_onURLChanged() {
|
||||
const { dispatch } = this.props;
|
||||
|
||||
dispatch({ type: "url changed", url: document.location.href });
|
||||
}
|
||||
|
||||
render() {
|
||||
const { loading, error, graphRenderCounter } = this.props;
|
||||
return (
|
||||
<Container>
|
||||
<Helmet title="cellxgene" />
|
||||
{loading ? (
|
||||
<div
|
||||
style={{
|
||||
position: "fixed",
|
||||
fontWeight: 500,
|
||||
top: window.innerHeight / 2,
|
||||
left: window.innerWidth / 2 - 50
|
||||
}}
|
||||
>
|
||||
loading cellxgene
|
||||
</div>
|
||||
) : null}
|
||||
{error ? (
|
||||
<div
|
||||
style={{
|
||||
position: "fixed",
|
||||
fontWeight: 500,
|
||||
top: window.innerHeight / 2,
|
||||
left: window.innerWidth / 2 - 50
|
||||
}}
|
||||
>
|
||||
error loading
|
||||
</div>
|
||||
) : null}
|
||||
<div>
|
||||
{loading ? null : <LeftSideBar />}
|
||||
{loading ? null : <MenuBar />}
|
||||
{loading ? null : <Graph key={graphRenderCounter} />}
|
||||
<Legend />
|
||||
</div>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default App;
|
||||
@@ -0,0 +1,533 @@
|
||||
/*
|
||||
https://bl.ocks.org/mbostock/4341954
|
||||
https://bl.ocks.org/mbostock/34f08d5e11952a80609169b7917d4172
|
||||
https://bl.ocks.org/SpaceActuary/2f004899ea1b2bd78d6f1dbb2febf771
|
||||
*/
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { Button, ButtonGroup, Tooltip } from "@blueprintjs/core";
|
||||
import { connect } from "react-redux";
|
||||
import * as d3 from "d3";
|
||||
import memoize from "memoize-one";
|
||||
import * as globals from "../../globals";
|
||||
import actions from "../../actions";
|
||||
import { makeContinuousDimensionName } from "../../util/nameCreators";
|
||||
|
||||
@connect(state => ({
|
||||
world: state.world,
|
||||
scatterplotXXaccessor: state.controls.scatterplotXXaccessor,
|
||||
scatterplotYYaccessor: state.controls.scatterplotYYaccessor,
|
||||
continuousSelection: state.continuousSelection,
|
||||
differential: state.differential,
|
||||
colorAccessor: state.colors.colorAccessor
|
||||
}))
|
||||
class HistogramBrush extends React.Component {
|
||||
static getColumn(world, field, clipped = true) {
|
||||
/*
|
||||
Return the underlying Dataframe column for our field. By default,
|
||||
returns the clipped column. If clipped===false, will return the
|
||||
unclipped column.
|
||||
*/
|
||||
const obsAnnotations = clipped
|
||||
? world.obsAnnotations
|
||||
: world.unclipped.obsAnnotations;
|
||||
const varData = clipped ? world.varData : world.unclipped.varData;
|
||||
if (obsAnnotations.hasCol(field)) {
|
||||
return obsAnnotations.col(field);
|
||||
}
|
||||
return varData.col(field);
|
||||
}
|
||||
|
||||
calcHistogramCache = memoize((col, field) => {
|
||||
/*
|
||||
recalculate expensive stuff, notably bins, summaries, etc.
|
||||
*/
|
||||
const histogramCache = {};
|
||||
const values = col.asArray();
|
||||
const summary = col.summarize();
|
||||
const { min: domainMin, max: domainMax } = summary;
|
||||
histogramCache.x = d3
|
||||
.scaleLinear()
|
||||
.domain([domainMin, domainMax])
|
||||
.range([0, this.width - this.marginRight]);
|
||||
|
||||
histogramCache.bins = d3
|
||||
.histogram()
|
||||
.domain(histogramCache.x.domain())
|
||||
.thresholds(40)(values);
|
||||
|
||||
const yMax = histogramCache.bins
|
||||
.map(b => b.length)
|
||||
.reduce((a, b) => Math.max(a, b));
|
||||
histogramCache.y = d3
|
||||
.scaleLinear()
|
||||
.domain([0, yMax])
|
||||
.range([this.height - this.marginBottom, 0]);
|
||||
|
||||
return histogramCache;
|
||||
});
|
||||
|
||||
constructor(props) {
|
||||
super(props);
|
||||
|
||||
this.width = 340;
|
||||
this.height = 100;
|
||||
this.marginBottom = 20; // space for X axis & labels
|
||||
this.marginRight = 40; // space for Y axis & labels
|
||||
}
|
||||
|
||||
componentDidMount() {
|
||||
const { field } = this.props;
|
||||
const { x, y, bins, svgRef } = this._histogram;
|
||||
|
||||
this.renderAxesBrushBins(x, y, bins, svgRef, field);
|
||||
}
|
||||
|
||||
componentDidUpdate(prevProps) {
|
||||
const { field, world, continuousSelection } = this.props;
|
||||
const { x, y, bins, svgRef } = this._histogram;
|
||||
let { brushXselection, brushX } = this.state;
|
||||
let forceBrushUpdate = false;
|
||||
|
||||
/*
|
||||
Update our axis if the underlying dataframe column has changed
|
||||
*/
|
||||
const dfColumn = HistogramBrush.getColumn(world, field);
|
||||
const oldDfColumn = HistogramBrush.getColumn(
|
||||
prevProps.world,
|
||||
prevProps.field
|
||||
);
|
||||
if (dfColumn !== oldDfColumn) {
|
||||
({ brushXselection, brushX } = this.renderAxesBrushBins(
|
||||
x,
|
||||
y,
|
||||
bins,
|
||||
svgRef,
|
||||
field
|
||||
));
|
||||
forceBrushUpdate = true;
|
||||
}
|
||||
|
||||
/*
|
||||
if the selection has changed, ensure that the brush correctly reflects
|
||||
the underlying selection.
|
||||
*/
|
||||
if (
|
||||
forceBrushUpdate ||
|
||||
continuousSelection !== prevProps.continuousSelection
|
||||
) {
|
||||
const { isObs, isUserDefined, isDiffExp } = this.props;
|
||||
const myName = makeContinuousDimensionName(
|
||||
{ isObs, isUserDefined, isDiffExp },
|
||||
field
|
||||
);
|
||||
const range = continuousSelection[myName];
|
||||
if (brushXselection) {
|
||||
const selection = d3.brushSelection(brushXselection.node());
|
||||
if (!range && selection) {
|
||||
/* no active selection - clear brush */
|
||||
brushXselection.call(brushX.move, null);
|
||||
} else if (range && !selection) {
|
||||
/* there is an active selection, but no brush - set the brush */
|
||||
const x0 = x(range[0]);
|
||||
const x1 = x(range[1]);
|
||||
brushXselection.call(brushX.move, [x0, x1]);
|
||||
} else if (range && selection) {
|
||||
/* there is an active selection and a brush - make sure they match */
|
||||
const moveDeltaThreshold = 1;
|
||||
const x0 = x(range[0]);
|
||||
const x1 = x(range[1]);
|
||||
const dX0 = Math.abs(x0 - selection[0]);
|
||||
const dX1 = Math.abs(x1 - selection[1]);
|
||||
/*
|
||||
only update the brush if it is grossly incorrect,
|
||||
as defined by the moveDeltaThreshold
|
||||
*/
|
||||
if (dX0 > moveDeltaThreshold || dX1 > moveDeltaThreshold) {
|
||||
brushXselection.call(brushX.move, [x0, x1]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
onBrush(selection, x, eventType) {
|
||||
const type = `continuous metadata histogram ${eventType}`;
|
||||
return () => {
|
||||
const { dispatch, field, isObs, isUserDefined, isDiffExp } = this.props;
|
||||
|
||||
// ignore programmatically generated events
|
||||
if (!d3.event.sourceEvent) return;
|
||||
// ignore cascading events, which are programmatically generated
|
||||
if (d3.event.sourceEvent.sourceEvent) return;
|
||||
|
||||
if (d3.event.selection) {
|
||||
dispatch({
|
||||
type,
|
||||
selection: field,
|
||||
continuousNamespace: {
|
||||
isObs,
|
||||
isUserDefined,
|
||||
isDiffExp
|
||||
},
|
||||
range: [x(d3.event.selection[0]), x(d3.event.selection[1])]
|
||||
});
|
||||
} else {
|
||||
dispatch({
|
||||
type,
|
||||
selection: field,
|
||||
continuousNamespace: {
|
||||
isObs,
|
||||
isUserDefined,
|
||||
isDiffExp
|
||||
},
|
||||
range: null
|
||||
});
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
onBrushEnd(selection, x) {
|
||||
return () => {
|
||||
const { dispatch, field, isObs, isUserDefined, isDiffExp } = this.props;
|
||||
const minAllowedBrushSize = 10;
|
||||
const smallAmountToAvoidInfiniteLoop = 0.1;
|
||||
|
||||
// ignore programmatically generated events
|
||||
if (!d3.event.sourceEvent) return;
|
||||
// ignore cascading events, which are programmatically generated
|
||||
if (d3.event.sourceEvent.sourceEvent) return;
|
||||
|
||||
if (d3.event.selection) {
|
||||
let _range;
|
||||
|
||||
if (
|
||||
d3.event.selection[1] - d3.event.selection[0] >
|
||||
minAllowedBrushSize
|
||||
) {
|
||||
_range = [x(d3.event.selection[0]), x(d3.event.selection[1])];
|
||||
} else {
|
||||
/* the user selected range is too small and will be hidden #587, so take control of it procedurally */
|
||||
/* https://stackoverflow.com/questions/12354729/d3-js-limit-size-of-brush */
|
||||
|
||||
const procedurallyResizedBrushWidth =
|
||||
d3.event.selection[0] +
|
||||
minAllowedBrushSize +
|
||||
smallAmountToAvoidInfiniteLoop; //
|
||||
|
||||
_range = [x(d3.event.selection[0]), x(procedurallyResizedBrushWidth)];
|
||||
}
|
||||
|
||||
dispatch({
|
||||
type: "continuous metadata histogram end",
|
||||
selection: field,
|
||||
continuousNamespace: {
|
||||
isObs,
|
||||
isUserDefined,
|
||||
isDiffExp
|
||||
},
|
||||
range: _range
|
||||
});
|
||||
} else {
|
||||
dispatch({
|
||||
type: "continuous metadata histogram cancel",
|
||||
selection: field,
|
||||
continuousNamespace: {
|
||||
isObs,
|
||||
isUserDefined,
|
||||
isDiffExp
|
||||
}
|
||||
});
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
drawHistogram(svgRef) {
|
||||
const { field, world } = this.props;
|
||||
const col = HistogramBrush.getColumn(world, field);
|
||||
const histogramCache = this.calcHistogramCache(col, field);
|
||||
const { x, y, bins } = histogramCache;
|
||||
this._histogram = { x, y, bins, svgRef };
|
||||
}
|
||||
|
||||
handleColorAction() {
|
||||
const { dispatch, field, world, ranges } = this.props;
|
||||
|
||||
if (world.obsAnnotations.hasCol(field)) {
|
||||
dispatch({
|
||||
type: "color by continuous metadata",
|
||||
colorAccessor: field,
|
||||
rangeForColorAccessor: ranges
|
||||
});
|
||||
} else if (world.varData.hasCol(field)) {
|
||||
dispatch(actions.requestSingleGeneExpressionCountsForColoringPOST(field));
|
||||
}
|
||||
}
|
||||
|
||||
removeHistogram() {
|
||||
const {
|
||||
dispatch,
|
||||
field,
|
||||
colorAccessor,
|
||||
scatterplotXXaccessor,
|
||||
scatterplotYYaccessor
|
||||
} = this.props;
|
||||
dispatch({
|
||||
type: "clear user defined gene",
|
||||
data: field
|
||||
});
|
||||
if (field === colorAccessor) {
|
||||
dispatch({
|
||||
type: "reset colorscale"
|
||||
});
|
||||
}
|
||||
if (field === scatterplotXXaccessor) {
|
||||
dispatch({
|
||||
type: "set scatterplot x",
|
||||
data: null
|
||||
});
|
||||
}
|
||||
if (field === scatterplotYYaccessor) {
|
||||
dispatch({
|
||||
type: "set scatterplot y",
|
||||
data: null
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
handleSetGeneAsScatterplotX() {
|
||||
return () => {
|
||||
const { dispatch, field } = this.props;
|
||||
dispatch({
|
||||
type: "set scatterplot x",
|
||||
data: field
|
||||
});
|
||||
};
|
||||
}
|
||||
|
||||
handleSetGeneAsScatterplotY() {
|
||||
return () => {
|
||||
const { dispatch, field } = this.props;
|
||||
dispatch({
|
||||
type: "set scatterplot y",
|
||||
data: field
|
||||
});
|
||||
};
|
||||
}
|
||||
|
||||
renderAxesBrushBins(x, y, bins, svgRef, field) {
|
||||
const svg = d3.select(svgRef);
|
||||
|
||||
/* Remove everything */
|
||||
svg.selectAll("*").remove();
|
||||
|
||||
/* BINS */
|
||||
svg
|
||||
.insert("g", "*")
|
||||
.attr("fill", "#bbb")
|
||||
.selectAll("rect")
|
||||
.data(bins)
|
||||
.enter()
|
||||
.append("rect")
|
||||
.attr("x", d => x(d.x0) + 1)
|
||||
.attr("y", d => y(d.length))
|
||||
.attr("width", d => Math.abs(x(d.x1) - x(d.x0) - 1))
|
||||
.attr("height", d => y(0) - y(d.length));
|
||||
|
||||
/* BRUSH */
|
||||
const brushX = d3
|
||||
.brushX()
|
||||
.extent([[0, 0], [this.width - this.marginRight, this.height]])
|
||||
/*
|
||||
emit start so that the Undoable history can save an undo point
|
||||
upon drag start, and ignore the subsequent intermediate drag events.
|
||||
*/
|
||||
.on("start", this.onBrush(field, x.invert, "start").bind(this))
|
||||
.on("brush", this.onBrush(field, x.invert, "brush").bind(this))
|
||||
.on("end", this.onBrushEnd(field, x.invert).bind(this));
|
||||
const brushXselection = d3
|
||||
.select(svgRef)
|
||||
.append("g")
|
||||
.attr("class", "brush")
|
||||
.attr("data-testid", `${svgRef.dataset.testid}-brush`)
|
||||
.call(brushX);
|
||||
|
||||
/* X AXIS */
|
||||
svg
|
||||
.append("g")
|
||||
.attr("class", "axis axis--x")
|
||||
.attr("transform", `translate(0,${this.height - this.marginBottom})`)
|
||||
.call(d3.axisBottom(x).ticks(5));
|
||||
|
||||
/* Y AXIS */
|
||||
svg
|
||||
.append("g")
|
||||
.attr("class", "axis axis--y")
|
||||
.attr("transform", `translate(${this.width - this.marginRight},0)`)
|
||||
.call(d3.axisRight(y).ticks(3));
|
||||
|
||||
/* axis style */
|
||||
svg.selectAll(".axis text").style("fill", "rgb(80,80,80)");
|
||||
svg.selectAll(".axis path").style("stroke", "rgb(230,230,230)");
|
||||
svg.selectAll(".axis line").style("stroke", "rgb(230,230,230)");
|
||||
|
||||
const newState = { brushX, brushXselection };
|
||||
this.setState(newState);
|
||||
return newState;
|
||||
}
|
||||
|
||||
render() {
|
||||
const {
|
||||
field,
|
||||
world,
|
||||
colorAccessor,
|
||||
isUserDefined,
|
||||
isDiffExp,
|
||||
logFoldChange,
|
||||
pvalAdj,
|
||||
scatterplotXXaccessor,
|
||||
scatterplotYYaccessor,
|
||||
zebra
|
||||
} = this.props;
|
||||
const fieldForId = field.replace(/\s/g, "_");
|
||||
const {
|
||||
min: unclippedRangeMin,
|
||||
max: unclippedRangeMax
|
||||
} = HistogramBrush.getColumn(world, field, false).summarize();
|
||||
const unclippedRangeMinColor =
|
||||
world.clipQuantiles.min === 0 ? "#bbb" : globals.blue;
|
||||
const unclippedRangeMaxColor =
|
||||
world.clipQuantiles.max === 1 ? "#bbb" : globals.blue;
|
||||
|
||||
return (
|
||||
<div
|
||||
id={`histogram_${fieldForId}`}
|
||||
data-testid={`histogram-${field}`}
|
||||
data-testclass={
|
||||
isDiffExp
|
||||
? "histogram-diffexp"
|
||||
: isUserDefined
|
||||
? "histogram-user-gene"
|
||||
: "histogram-continuous-metadata"
|
||||
}
|
||||
style={{
|
||||
padding: globals.leftSidebarSectionPadding,
|
||||
backgroundColor: zebra ? globals.lightestGrey : "white"
|
||||
}}
|
||||
>
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "flex-end",
|
||||
paddingBottom: "8px"
|
||||
}}
|
||||
>
|
||||
{isDiffExp || isUserDefined ? (
|
||||
<span>
|
||||
<span
|
||||
style={{ marginRight: 7 }}
|
||||
className="bp3-icon-standard bp3-icon-scatter-plot"
|
||||
/>
|
||||
<ButtonGroup style={{ marginRight: 7 }}>
|
||||
<Button
|
||||
data-testid={`plot-x-${field}`}
|
||||
onClick={this.handleSetGeneAsScatterplotX(field).bind(this)}
|
||||
active={scatterplotXXaccessor === field}
|
||||
intent={scatterplotXXaccessor === field ? "primary" : "none"}
|
||||
>
|
||||
plot x
|
||||
</Button>
|
||||
<Button
|
||||
data-testid={`plot-y-${field}`}
|
||||
onClick={this.handleSetGeneAsScatterplotY(field).bind(this)}
|
||||
active={scatterplotYYaccessor === field}
|
||||
intent={scatterplotYYaccessor === field ? "primary" : "none"}
|
||||
>
|
||||
plot y
|
||||
</Button>
|
||||
</ButtonGroup>
|
||||
</span>
|
||||
) : null}
|
||||
{isUserDefined ? (
|
||||
<Button
|
||||
minimal
|
||||
onClick={this.removeHistogram.bind(this)}
|
||||
style={{
|
||||
color: globals.blue,
|
||||
cursor: "pointer",
|
||||
marginLeft: 7
|
||||
}}
|
||||
>
|
||||
remove
|
||||
</Button>
|
||||
) : null}
|
||||
<Tooltip content="Use as color scale" position="bottom">
|
||||
<Button
|
||||
onClick={this.handleColorAction.bind(this)}
|
||||
active={colorAccessor === field}
|
||||
intent={colorAccessor === field ? "primary" : "none"}
|
||||
data-testclass="colorby"
|
||||
data-testid={`colorby-${field}`}
|
||||
icon="tint"
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
<svg
|
||||
width={this.width}
|
||||
height={this.height}
|
||||
id={`histogram_${fieldForId}_svg`}
|
||||
data-testclass="histogram-plot"
|
||||
data-testid={`histogram-${field}-plot`}
|
||||
ref={svgRef => {
|
||||
this.drawHistogram(svgRef);
|
||||
}}
|
||||
/>
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "space-between"
|
||||
}}
|
||||
>
|
||||
<span style={{ color: unclippedRangeMinColor }}>
|
||||
min {unclippedRangeMin.toPrecision(4)}
|
||||
</span>
|
||||
<span
|
||||
data-testclass="brushable-histogram-field-name"
|
||||
style={{ fontStyle: "italic" }}
|
||||
>
|
||||
{field}
|
||||
</span>
|
||||
<span style={{ color: unclippedRangeMaxColor }}>
|
||||
max {unclippedRangeMax.toPrecision(4)}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
{isDiffExp ? (
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "center",
|
||||
alignItems: "baseline"
|
||||
}}
|
||||
>
|
||||
<span>
|
||||
<strong>log fold change:</strong>
|
||||
{` ${logFoldChange.toPrecision(4)}`}
|
||||
</span>
|
||||
<span
|
||||
style={{
|
||||
marginLeft: 7,
|
||||
padding: 2
|
||||
}}
|
||||
>
|
||||
<strong>p-value (adj):</strong>
|
||||
{pvalAdj < 0.0001 ? " < 0.0001" : ` ${pvalAdj.toFixed(4)}`}
|
||||
</span>
|
||||
</div>
|
||||
) : null}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default HistogramBrush;
|
||||
@@ -0,0 +1,3 @@
|
||||
:local(.value):hover {
|
||||
background: rgba(167, 182, 194, 0.3);
|
||||
}
|
||||
@@ -0,0 +1,30 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import _ from "lodash";
|
||||
import { connect } from "react-redux";
|
||||
import * as globals from "../../globals";
|
||||
import Category from "./category";
|
||||
|
||||
@connect(state => ({
|
||||
categoricalSelection: state.categoricalSelection
|
||||
}))
|
||||
class Categories extends React.Component {
|
||||
render() {
|
||||
const { categoricalSelection } = this.props;
|
||||
if (!categoricalSelection) return null;
|
||||
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
padding: globals.leftSidebarSectionPadding
|
||||
}}
|
||||
>
|
||||
{_.map(categoricalSelection, (catState, catName) => (
|
||||
<Category key={catName} metadataField={catName} />
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default Categories;
|
||||
@@ -0,0 +1,196 @@
|
||||
import React from "react";
|
||||
import _ from "lodash";
|
||||
import { connect } from "react-redux";
|
||||
import { FaChevronRight, FaChevronDown } from "react-icons/fa";
|
||||
import { Button, Tooltip } from "@blueprintjs/core";
|
||||
|
||||
import * as globals from "../../globals";
|
||||
import Value from "./value";
|
||||
import sortedCategoryValues from "./util";
|
||||
|
||||
@connect(state => ({
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
categoricalSelection: state.categoricalSelection
|
||||
}))
|
||||
class Category extends React.Component {
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.state = {
|
||||
isChecked: true,
|
||||
isExpanded: false
|
||||
};
|
||||
}
|
||||
|
||||
componentDidUpdate(prevProps) {
|
||||
const { categoricalSelection, metadataField } = this.props;
|
||||
if (categoricalSelection !== prevProps.categoricalSelection) {
|
||||
const cat = categoricalSelection[metadataField];
|
||||
const categoryCount = {
|
||||
// total number of categories in this dimension
|
||||
totalCatCount: cat.numCategoryValues,
|
||||
// number of selected options in this category
|
||||
selectedCatCount: _.reduce(
|
||||
cat.categoryValueSelected,
|
||||
(res, cond) => (cond ? res + 1 : res),
|
||||
0
|
||||
)
|
||||
};
|
||||
if (categoryCount.selectedCatCount === categoryCount.totalCatCount) {
|
||||
/* everything is on, so not indeterminate */
|
||||
this.checkbox.indeterminate = false;
|
||||
this.setState({ isChecked: true }); // eslint-disable-line react/no-did-update-set-state
|
||||
} else if (categoryCount.selectedCatCount === 0) {
|
||||
/* nothing is on, so no */
|
||||
this.checkbox.indeterminate = false;
|
||||
this.setState({ isChecked: false }); // eslint-disable-line react/no-did-update-set-state
|
||||
} else if (categoryCount.selectedCatCount < categoryCount.totalCatCount) {
|
||||
/* to be explicit... */
|
||||
this.checkbox.indeterminate = true;
|
||||
this.setState({ isChecked: false });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
handleColorChange = () => {
|
||||
const { dispatch, metadataField } = this.props;
|
||||
dispatch({
|
||||
type: "color by categorical metadata",
|
||||
colorAccessor: metadataField
|
||||
});
|
||||
};
|
||||
|
||||
toggleAll() {
|
||||
const { dispatch, metadataField } = this.props;
|
||||
dispatch({
|
||||
type: "categorical metadata filter all of these",
|
||||
metadataField
|
||||
});
|
||||
this.setState({ isChecked: true });
|
||||
}
|
||||
|
||||
toggleNone() {
|
||||
const { dispatch, metadataField } = this.props;
|
||||
dispatch({
|
||||
type: "categorical metadata filter none of these",
|
||||
metadataField
|
||||
});
|
||||
this.setState({ isChecked: false });
|
||||
}
|
||||
|
||||
handleToggleAllClick() {
|
||||
const { isChecked } = this.state;
|
||||
// || this.checkbox.indeterminate === false
|
||||
if (isChecked) {
|
||||
this.toggleNone();
|
||||
} else if (!isChecked) {
|
||||
this.toggleAll();
|
||||
}
|
||||
}
|
||||
|
||||
renderCategoryItems() {
|
||||
const { categoricalSelection, metadataField } = this.props;
|
||||
|
||||
const cat = categoricalSelection[metadataField];
|
||||
const optTuples = sortedCategoryValues([...cat.categoryValueIndices]);
|
||||
return _.map(optTuples, (tuple, i) => (
|
||||
<Value
|
||||
optTuples={optTuples}
|
||||
key={tuple[1]}
|
||||
metadataField={metadataField}
|
||||
categoryIndex={tuple[1]}
|
||||
i={i}
|
||||
/>
|
||||
));
|
||||
}
|
||||
|
||||
render() {
|
||||
const { isExpanded, isChecked } = this.state;
|
||||
const { metadataField, colorAccessor, categoricalSelection } = this.props;
|
||||
const { isTruncated } = categoricalSelection[metadataField];
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
maxWidth: globals.maxControlsWidth
|
||||
}}
|
||||
data-testclass="category"
|
||||
data-testid={`category-${metadataField}`}
|
||||
>
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "space-between",
|
||||
alignItems: "baseline"
|
||||
}}
|
||||
>
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "flex-start",
|
||||
alignItems: "baseline"
|
||||
}}
|
||||
>
|
||||
<label className="bp3-control bp3-checkbox">
|
||||
<input
|
||||
data-testclass="category-select"
|
||||
data-testid={`category-select-${metadataField}`}
|
||||
onChange={this.handleToggleAllClick.bind(this)}
|
||||
ref={el => {
|
||||
this.checkbox = el;
|
||||
return el;
|
||||
}}
|
||||
checked={isChecked}
|
||||
type="checkbox"
|
||||
/>
|
||||
<span className="bp3-control-indicator" />
|
||||
{""}
|
||||
</label>
|
||||
|
||||
<span
|
||||
data-testid={`category-expand-${metadataField}`}
|
||||
style={{
|
||||
cursor: "pointer",
|
||||
display: "inline-block"
|
||||
}}
|
||||
onClick={() => {
|
||||
this.setState({ isExpanded: !isExpanded });
|
||||
}}
|
||||
>
|
||||
{metadataField}
|
||||
{isExpanded ? (
|
||||
<FaChevronDown
|
||||
data-testclass="category-expand-is-expanded"
|
||||
style={{ fontSize: 10, marginLeft: 5 }}
|
||||
/>
|
||||
) : (
|
||||
<FaChevronRight
|
||||
data-testclass="category-expand-is-not-expanded"
|
||||
style={{ fontSize: 10, marginLeft: 5 }}
|
||||
/>
|
||||
)}
|
||||
</span>
|
||||
</div>
|
||||
<Tooltip content="Use as color scale" position="bottom">
|
||||
<Button
|
||||
data-testclass="colorby"
|
||||
data-testid={`colorby-${metadataField}`}
|
||||
onClick={this.handleColorChange}
|
||||
active={colorAccessor === metadataField}
|
||||
intent={colorAccessor === metadataField ? "primary" : "none"}
|
||||
icon="tint"
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div style={{ marginLeft: 26 }}>
|
||||
{isExpanded ? this.renderCategoryItems() : null}
|
||||
</div>
|
||||
<div>
|
||||
{isExpanded && isTruncated ? (
|
||||
<p style={{ paddingLeft: 15 }}>... truncated list ...</p>
|
||||
) : null}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default Category;
|
||||
@@ -0,0 +1,194 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { connect } from "react-redux";
|
||||
import * as d3 from "d3";
|
||||
import {
|
||||
Popover,
|
||||
PopoverInteractionKind,
|
||||
Position,
|
||||
Classes
|
||||
} from "@blueprintjs/core";
|
||||
|
||||
@connect()
|
||||
class Occupancy extends React.Component {
|
||||
_WIDTH = 100;
|
||||
|
||||
_HEIGHT = 11;
|
||||
|
||||
createHistogram = () => {
|
||||
/*
|
||||
Knowing that colorScale is based off continous data,
|
||||
createHistogram fetches the continous data in relation to the cells releveant to the catagory value.
|
||||
It then seperates that data into 50 bins for drawing the mini-histogram
|
||||
*/
|
||||
const {
|
||||
world,
|
||||
metadataField,
|
||||
colorAccessor,
|
||||
category,
|
||||
categoryIndex
|
||||
} = this.props;
|
||||
|
||||
if (!this.canvas) return;
|
||||
|
||||
const groupBy = world.obsAnnotations.col(metadataField);
|
||||
|
||||
const col =
|
||||
world.obsAnnotations.col(colorAccessor) ||
|
||||
world.varData.col(colorAccessor);
|
||||
|
||||
const range = col.summarize();
|
||||
|
||||
const histogramMap = col.histogram(
|
||||
50,
|
||||
[range.min, range.max],
|
||||
groupBy
|
||||
); /* Because the signature changes we really need different names for histogram to differentiate signatures */
|
||||
|
||||
const bins = histogramMap.get(category.categoryValues[categoryIndex]);
|
||||
|
||||
const xScale = d3
|
||||
.scaleLinear()
|
||||
.domain([0, bins.length])
|
||||
.range([0, this._WIDTH]);
|
||||
|
||||
const largestBin = Math.max(...bins);
|
||||
|
||||
const yScale = d3
|
||||
.scaleLinear()
|
||||
.domain([0, largestBin])
|
||||
.range([0, this._HEIGHT]);
|
||||
|
||||
const ctx = this.canvas.getContext("2d");
|
||||
|
||||
ctx.fillStyle = "#000";
|
||||
|
||||
let x;
|
||||
let y;
|
||||
|
||||
const rectWidth = this._WIDTH / bins.length;
|
||||
|
||||
for (let i = 0, { length } = bins; i < length; i += 1) {
|
||||
x = xScale(i);
|
||||
y = yScale(bins[i]);
|
||||
ctx.fillRect(x, this._HEIGHT - y, rectWidth, y);
|
||||
}
|
||||
};
|
||||
|
||||
createOccupancyStack = () => {
|
||||
/*
|
||||
Knowing that the color scale is based off of catagorical data,
|
||||
createOccupancyStack obtains a map showing the number if cells per colored value
|
||||
Using the colorScale a stack of colored bars is drawn representing the map
|
||||
*/
|
||||
const {
|
||||
world,
|
||||
metadataField,
|
||||
colorAccessor,
|
||||
category,
|
||||
categoryIndex,
|
||||
schema,
|
||||
colorScale
|
||||
} = this.props;
|
||||
|
||||
const ctx = this.canvas?.getContext("2d");
|
||||
|
||||
if (!ctx) return;
|
||||
|
||||
const groupBy = world.obsAnnotations.col(metadataField);
|
||||
const occupancyMap = world.obsAnnotations
|
||||
.col(colorAccessor)
|
||||
.histogram(groupBy);
|
||||
|
||||
const occupancy = occupancyMap.get(category.categoryValues[categoryIndex]);
|
||||
|
||||
const x = d3
|
||||
.scaleLinear()
|
||||
/* get all the keys d[1] as an array, then find the sum */
|
||||
.domain([0, d3.sum(Array.from(occupancy.values()))])
|
||||
.range([0, this._WIDTH]);
|
||||
const categories = schema.annotations.obsByName[colorAccessor]?.categories;
|
||||
|
||||
let currentOffset = 0;
|
||||
const dfColumn = world.obsAnnotations.col(colorAccessor);
|
||||
const categoryValues = dfColumn.summarize().categories;
|
||||
|
||||
let o;
|
||||
let scaledValue;
|
||||
let value;
|
||||
|
||||
for (let i = 0, { length } = categoryValues; i < length; i += 1) {
|
||||
value = categoryValues[i];
|
||||
o = occupancy.get(value);
|
||||
scaledValue = x(o);
|
||||
ctx.fillStyle = o
|
||||
? colorScale(categories.indexOf(value))
|
||||
: "rgb(255,255,255)";
|
||||
ctx.fillRect(currentOffset, 0, o ? scaledValue : 0, this._HEIGHT);
|
||||
currentOffset += o ? scaledValue : 0;
|
||||
}
|
||||
};
|
||||
|
||||
render() {
|
||||
const {
|
||||
colorAccessor,
|
||||
categoricalSelection,
|
||||
category,
|
||||
categoryIndex
|
||||
} = this.props;
|
||||
|
||||
this.canvas?.getContext("2d").clearRect(0, 0, this._WIDTH, this._HEIGHT);
|
||||
|
||||
const colorByIsCatagoricalData = !!categoricalSelection[colorAccessor];
|
||||
|
||||
return (
|
||||
<Popover
|
||||
interactionKind={PopoverInteractionKind.HOVER_TARGET_ONLY}
|
||||
hoverOpenDelay={1500}
|
||||
hoverCloseDelay={200}
|
||||
position={Position.LEFT}
|
||||
modifiers={{
|
||||
preventOverflow: { enabled: false },
|
||||
hide: { enabled: false }
|
||||
}}
|
||||
lazy
|
||||
usePortal
|
||||
disabled={colorByIsCatagoricalData}
|
||||
popoverClassName={Classes.POPOVER_CONTENT_SIZING}
|
||||
>
|
||||
<canvas
|
||||
className="bp3-popover-targer"
|
||||
style={{
|
||||
marginRight: 5,
|
||||
width: this._WIDTH,
|
||||
height: this._HEIGHT,
|
||||
borderBottom: colorByIsCatagoricalData
|
||||
? ""
|
||||
: "solid rgb(230, 230, 230) 0.25px"
|
||||
}}
|
||||
width={this._WIDTH}
|
||||
height={this._HEIGHT}
|
||||
ref={ref => {
|
||||
this.canvas = ref;
|
||||
if (colorByIsCatagoricalData) this.createOccupancyStack();
|
||||
else this.createHistogram();
|
||||
}}
|
||||
/>
|
||||
<div key="text" style={{ fontFamily: "Roboto", fontSize: "14px" }}>
|
||||
<p style={{ margin: "0" }}>
|
||||
This histograms shows the distribution of{" "}
|
||||
<strong>{colorAccessor}</strong> within{" "}
|
||||
<strong>{category.categoryValues[categoryIndex]}</strong>.
|
||||
<br />
|
||||
<br />
|
||||
The x axis is the same for each histogram, while the y axis is
|
||||
scaled to the largest bin within this histogram instead of the
|
||||
largest bin within the whole category.
|
||||
</p>
|
||||
</div>
|
||||
</Popover>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default Occupancy;
|
||||
@@ -0,0 +1,34 @@
|
||||
// jshint esversion: 6
|
||||
|
||||
// values is [ [optVal, optIdx], ...]
|
||||
// index is range array
|
||||
// return sorted index
|
||||
|
||||
import isNumber from "is-number";
|
||||
|
||||
const sortedCategoryValues = values => {
|
||||
/* this sort could be memoized for perf */
|
||||
|
||||
const strings = [];
|
||||
const ints = [];
|
||||
|
||||
values.forEach(v => {
|
||||
if (isNumber(v[0])) {
|
||||
ints.push(v);
|
||||
} else {
|
||||
strings.push(v);
|
||||
}
|
||||
});
|
||||
|
||||
strings.sort((a, b) => {
|
||||
const textA = String(a[0]).toUpperCase();
|
||||
const textB = String(b[0]).toUpperCase();
|
||||
return textA < textB ? -1 : textA > textB ? 1 : 0;
|
||||
});
|
||||
|
||||
ints.sort((a, b) => +a[0] - +b[0]);
|
||||
|
||||
return ints.concat(strings);
|
||||
};
|
||||
|
||||
export default sortedCategoryValues;
|
||||
@@ -0,0 +1,187 @@
|
||||
// jshint esversion: 6
|
||||
import { connect } from "react-redux";
|
||||
import React from "react";
|
||||
import Occupancy from "./occupancy";
|
||||
import * as globals from "../../globals";
|
||||
import styles from "./categorical.css";
|
||||
|
||||
@connect(state => ({
|
||||
categoricalSelection: state.categoricalSelection,
|
||||
colorScale: state.colors.scale,
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
schema: state.world?.schema,
|
||||
world: state.world
|
||||
}))
|
||||
class CategoryValue extends React.Component {
|
||||
toggleOff = () => {
|
||||
const { dispatch, metadataField, categoryIndex } = this.props;
|
||||
dispatch({
|
||||
type: "categorical metadata filter deselect",
|
||||
metadataField,
|
||||
categoryIndex
|
||||
});
|
||||
};
|
||||
|
||||
shouldComponentUpdate = nextProps => {
|
||||
/*
|
||||
Checks to see if at least one of the following changed:
|
||||
* world state
|
||||
* the color accessor (what is currently being colored by)
|
||||
* if this catagorical value's selection status has changed
|
||||
|
||||
If and only if true, update the component
|
||||
*/
|
||||
const { props } = this;
|
||||
const { metadataField, categoryIndex, categoricalSelection } = props;
|
||||
const { categoricalSelection: newCategoricalSelection } = nextProps;
|
||||
|
||||
const valueSelectionChange =
|
||||
categoricalSelection[metadataField].categoryValueSelected[
|
||||
categoryIndex
|
||||
] !==
|
||||
newCategoricalSelection[metadataField].categoryValueSelected[
|
||||
categoryIndex
|
||||
];
|
||||
|
||||
const worldChange = props.world !== nextProps.world;
|
||||
const colorAccessorChange = props.colorAccessor !== nextProps.colorAccessor;
|
||||
|
||||
return valueSelectionChange || worldChange || colorAccessorChange;
|
||||
};
|
||||
|
||||
toggleOn = () => {
|
||||
const { dispatch, metadataField, categoryIndex } = this.props;
|
||||
dispatch({
|
||||
type: "categorical metadata filter select",
|
||||
metadataField,
|
||||
categoryIndex
|
||||
});
|
||||
};
|
||||
|
||||
handleMouseEnter = () => {
|
||||
const { dispatch, metadataField, categoryIndex } = this.props;
|
||||
dispatch({
|
||||
type: "category value mouse hover start",
|
||||
metadataField,
|
||||
categoryIndex
|
||||
});
|
||||
};
|
||||
|
||||
handleMouseExit = () => {
|
||||
const { dispatch, metadataField, categoryIndex } = this.props;
|
||||
dispatch({
|
||||
type: "category value mouse hover end",
|
||||
metadataField,
|
||||
categoryIndex
|
||||
});
|
||||
};
|
||||
|
||||
render() {
|
||||
const {
|
||||
categoricalSelection,
|
||||
metadataField,
|
||||
categoryIndex,
|
||||
colorAccessor,
|
||||
colorScale,
|
||||
i,
|
||||
schema
|
||||
} = this.props;
|
||||
|
||||
if (!categoricalSelection) return null;
|
||||
|
||||
const category = categoricalSelection[metadataField];
|
||||
const selected = category.categoryValueSelected[categoryIndex];
|
||||
const count = category.categoryValueCounts[categoryIndex];
|
||||
const value = category.categoryValues[categoryIndex];
|
||||
const displayString = String(
|
||||
category.categoryValues[categoryIndex]
|
||||
).valueOf();
|
||||
|
||||
/* this is the color scale, so add swatches below */
|
||||
const isColorBy = metadataField === colorAccessor;
|
||||
let categories = null;
|
||||
|
||||
if (isColorBy && schema) {
|
||||
categories = schema.annotations.obsByName[colorAccessor]?.categories;
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
key={i}
|
||||
className={styles.value}
|
||||
data-testclass="categorical-row"
|
||||
style={{
|
||||
padding: "4px 7px",
|
||||
display: "flex",
|
||||
alignItems: "baseline",
|
||||
justifyContent: "space-between",
|
||||
marginBottom: "2px",
|
||||
borderRadius: "2px"
|
||||
}}
|
||||
onMouseEnter={this.handleMouseEnter}
|
||||
onMouseLeave={this.handleMouseExit}
|
||||
>
|
||||
<div
|
||||
style={{
|
||||
margin: 0,
|
||||
padding: 0,
|
||||
userSelect: "none",
|
||||
width: globals.leftSidebarWidth - 130,
|
||||
display: "flex",
|
||||
justifyContent: "space-between"
|
||||
}}
|
||||
>
|
||||
<div style={{ display: "flex" }}>
|
||||
<label className="bp3-control bp3-checkbox" style={{ margin: 0 }}>
|
||||
<input
|
||||
onChange={selected ? this.toggleOff : this.toggleOn}
|
||||
data-testclass="categorical-value-select"
|
||||
data-testid={`categorical-value-select-${metadataField}-${displayString}`}
|
||||
checked={selected}
|
||||
type="checkbox"
|
||||
/>
|
||||
<span
|
||||
className="bp3-control-indicator"
|
||||
onMouseEnter={this.handleMouseExit}
|
||||
onMouseLeave={this.handleMouseEnter}
|
||||
/>
|
||||
</label>
|
||||
<span
|
||||
data-testid={`categorical-value-${metadataField}-${displayString}`}
|
||||
data-testclass="categorical-value"
|
||||
style={{ wordBreak: "break-all" }}
|
||||
>
|
||||
{displayString}
|
||||
</span>
|
||||
</div>
|
||||
<span style={{ flexShrink: 0 }}>
|
||||
{colorAccessor && !isColorBy ? (
|
||||
<Occupancy category={category} {...this.props} />
|
||||
) : null}
|
||||
</span>
|
||||
</div>
|
||||
<span>
|
||||
<span
|
||||
data-testclass="categorical-value-count"
|
||||
data-testid={`categorical-value-count-${metadataField}-${displayString}`}
|
||||
>
|
||||
{count}
|
||||
</span>
|
||||
<svg
|
||||
style={{
|
||||
marginLeft: 5,
|
||||
width: 11,
|
||||
height: 11,
|
||||
backgroundColor:
|
||||
isColorBy && categories
|
||||
? colorScale(categories.indexOf(value))
|
||||
: "inherit"
|
||||
}}
|
||||
/>
|
||||
</span>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default CategoryValue;
|
||||
@@ -0,0 +1,99 @@
|
||||
// jshint esversion: 6
|
||||
/* rc slider https://www.npmjs.com/package/rc-slider */
|
||||
|
||||
import React from "react";
|
||||
import _ from "lodash";
|
||||
import { connect } from "react-redux";
|
||||
import * as globals from "../../globals";
|
||||
|
||||
import HistogramBrush from "../brushableHistogram";
|
||||
|
||||
@connect(state => ({
|
||||
obsAnnotations: state.world?.obsAnnotations,
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
colorScale: state.colors.scale,
|
||||
schema: state.world?.schema
|
||||
}))
|
||||
class Continuous extends React.Component {
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.hasContinuous = false;
|
||||
this.continuousChecked = false;
|
||||
|
||||
this.state = {};
|
||||
}
|
||||
|
||||
componentDidUpdate() {}
|
||||
|
||||
handleColorAction(key) {
|
||||
return () => {
|
||||
const { dispatch, obsAnnotations } = this.props;
|
||||
const summary = obsAnnotations.col(key).summarize();
|
||||
dispatch({
|
||||
type: "color by continuous metadata",
|
||||
colorAccessor: key,
|
||||
rangeForColorAccessor: summary
|
||||
});
|
||||
};
|
||||
}
|
||||
|
||||
render() {
|
||||
const { obsAnnotations, schema } = this.props;
|
||||
if (schema && !this.continuousChecked) {
|
||||
this.hasContinuous = _.some(
|
||||
schema.annotations.obs,
|
||||
d => d.type === "int32" || d.type === "float32"
|
||||
);
|
||||
this.continuousChecked = true; /* only do this once */
|
||||
}
|
||||
|
||||
/* initial value for iterator to simulate index, ranges is an object */
|
||||
let zebra = 0;
|
||||
|
||||
return (
|
||||
<div>
|
||||
{this.hasContinuous ? (
|
||||
<p
|
||||
style={Object.assign({}, globals.leftSidebarSectionHeading, {
|
||||
marginTop: 40,
|
||||
paddingLeft: globals.leftSidebarSectionPadding
|
||||
})}
|
||||
>
|
||||
Continuous metadata
|
||||
</p>
|
||||
) : null}
|
||||
{obsAnnotations
|
||||
? _.map(obsAnnotations.colIndex.keys(), key => {
|
||||
const isColorField =
|
||||
key.includes("color") || key.includes("Color");
|
||||
if (key === schema.annotations.obs.index || isColorField)
|
||||
return null;
|
||||
|
||||
const summary = obsAnnotations.col(key).summarize();
|
||||
const nonFiniteExtent =
|
||||
summary.min === undefined ||
|
||||
summary.max === undefined ||
|
||||
Number.isNaN(summary.min) ||
|
||||
Number.isNaN(summary.max);
|
||||
if (!summary.categorical && !nonFiniteExtent) {
|
||||
zebra += 1;
|
||||
return (
|
||||
<HistogramBrush
|
||||
key={key}
|
||||
field={key}
|
||||
isObs
|
||||
zebra={zebra % 2 === 0}
|
||||
ranges={summary}
|
||||
handleColorAction={this.handleColorAction(key).bind(this)}
|
||||
/>
|
||||
);
|
||||
}
|
||||
return null;
|
||||
})
|
||||
: null}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default Continuous;
|
||||
+10
-15
@@ -1,4 +1,5 @@
|
||||
// jshint esversion: 6
|
||||
import * as d3 from "d3";
|
||||
import styles from "./parallelCoordinates.css";
|
||||
import { yAxis, brushstart } from "./util";
|
||||
|
||||
@@ -19,13 +20,11 @@ const drawAxes = (
|
||||
******************************************/
|
||||
|
||||
function brush() {
|
||||
var actives = [];
|
||||
const actives = [];
|
||||
svg
|
||||
.selectAll(".parcoords_axis .parcoords_brush")
|
||||
.filter(function(d) {
|
||||
return d3.brushSelection(this);
|
||||
})
|
||||
.each(function(d) {
|
||||
.filter(() => d3.brushSelection(this))
|
||||
.each(d => {
|
||||
actives.push({
|
||||
dimension: d,
|
||||
extent: d3.brushSelection(this)
|
||||
@@ -35,20 +34,18 @@ const drawAxes = (
|
||||
handleBrushAction(actives);
|
||||
}
|
||||
|
||||
var axes = svg
|
||||
const axes = svg
|
||||
.selectAll(".parcoords_axis")
|
||||
.data(dimensions)
|
||||
.enter()
|
||||
.append("g")
|
||||
.attr("class", `${styles.axis} parcoords_axis`)
|
||||
.attr("transform", (d, i) => {
|
||||
return "translate(" + xscale(i) + ")";
|
||||
});
|
||||
.attr("transform", (d, i) => `translate(${xscale(i)})`);
|
||||
|
||||
axes
|
||||
.append("g")
|
||||
.each(function(d) {
|
||||
var renderAxis =
|
||||
.each(d => {
|
||||
const renderAxis =
|
||||
"axis" in d
|
||||
? d.axis.scale(d.scale) // custom axis
|
||||
: yAxis.scale(d.scale); // default axis
|
||||
@@ -60,15 +57,13 @@ const drawAxes = (
|
||||
})
|
||||
.attr("class", styles.title)
|
||||
.attr("text-anchor", "start")
|
||||
.text(function(d) {
|
||||
return "description" in d ? d.description + " 🖌️" : d.key + " 🖌️";
|
||||
});
|
||||
.text(d => ("description" in d ? `${d.description} 🖌️` : `${d.key} 🖌️`));
|
||||
|
||||
// Add and store a brush for each axis.
|
||||
axes
|
||||
.append("g")
|
||||
.attr("class", `${styles.brush} parcoords_brush`)
|
||||
.each(function(d) {
|
||||
.each(d => {
|
||||
d3.select(this).call(
|
||||
(d.brush = d3
|
||||
.brushY()
|
||||
+20
-20
@@ -7,24 +7,24 @@ body {
|
||||
}
|
||||
*/
|
||||
|
||||
.parcoords {
|
||||
:local(.parcoords) {
|
||||
display: block;
|
||||
}
|
||||
|
||||
.parcoords svg,
|
||||
.parcoords canvas {
|
||||
:local(.parcoords) svg,
|
||||
:local(.parcoords) canvas {
|
||||
font: 10px sans-serif;
|
||||
position: absolute;
|
||||
}
|
||||
|
||||
.parcoords canvas {
|
||||
:local(.parcoords) canvas {
|
||||
opacity: 0.9;
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
.axis .title {
|
||||
:local(.axis .title) {
|
||||
font-size: 10px;
|
||||
transform: rotate(-21deg) translate(-5px,-6px);
|
||||
transform: rotate(-21deg) translate(-5px, -6px);
|
||||
fill: #222;
|
||||
cursor: pointer;
|
||||
}
|
||||
@@ -32,14 +32,14 @@ body {
|
||||
/* -webkit-filter: grayscale(100%);
|
||||
filter: grayscale(100%); */
|
||||
|
||||
.axis line,
|
||||
.axis path {
|
||||
:local(.axis) line,
|
||||
:local(.axis) path {
|
||||
fill: none;
|
||||
stroke: #ccc;
|
||||
stroke-width: 1px;
|
||||
}
|
||||
|
||||
.axis .tick text {
|
||||
:local(.axis .tick) text {
|
||||
fill: #222;
|
||||
pointer-events: none;
|
||||
}
|
||||
@@ -52,39 +52,39 @@ old, from reference bl.ocks
|
||||
}
|
||||
*/
|
||||
|
||||
.axis:hover line,
|
||||
.axis:hover path,
|
||||
.axis.active line,
|
||||
.axis.active path {
|
||||
:local(.axis:hover) line,
|
||||
:local(.axis:hover) path,
|
||||
:local(.axis.active) line,
|
||||
:local(.axis.active) path {
|
||||
fill: none;
|
||||
stroke: #222;
|
||||
stroke-width: 1px;
|
||||
}
|
||||
|
||||
.axis:hover .title {
|
||||
:local(.axis:hover .title) {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.axis:hover .tick text {
|
||||
:local(.axis:hover .tick) text {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.axis.active .title {
|
||||
:local(.axis.active .title) {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.axis.active .tick text {
|
||||
:local(.axis.active .tick) text {
|
||||
opacity: 1;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.brush .extent {
|
||||
fill-opacity: .3;
|
||||
:local(.brush .extent) {
|
||||
fill-opacity: 0.3;
|
||||
stroke: #fff;
|
||||
stroke-width: 1px;
|
||||
}
|
||||
|
||||
.pre {
|
||||
:local(.pre) {
|
||||
width: 100%;
|
||||
height: 300px;
|
||||
margin: 6px 12px;
|
||||
+12
-10
@@ -4,26 +4,28 @@
|
||||
******************************************
|
||||
******************************************/
|
||||
// jshint esversion: 6
|
||||
const setupParallelCoordinates = (width, height, margin) => {
|
||||
var container = d3.select("#parcoords");
|
||||
import * as d3 from "d3";
|
||||
|
||||
var svg = container
|
||||
const setupParallelCoordinates = (width, height, margin) => {
|
||||
const container = d3.select("#parcoords");
|
||||
|
||||
const svg = container
|
||||
.append("svg")
|
||||
.attr("width", width + margin.left + margin.right)
|
||||
.attr("height", height + margin.top + margin.bottom)
|
||||
.append("g")
|
||||
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
|
||||
.attr("transform", `translate(${margin.left},${margin.top})`);
|
||||
|
||||
var canvas = container
|
||||
const canvas = container
|
||||
.append("canvas")
|
||||
.attr("width", width * devicePixelRatio)
|
||||
.attr("height", height * devicePixelRatio)
|
||||
.style("width", width + "px")
|
||||
.style("height", height + "px")
|
||||
.style("margin-top", margin.top + "px")
|
||||
.style("margin-left", margin.left + "px");
|
||||
.style("width", `${width}px`)
|
||||
.style("height", `${height}px`)
|
||||
.style("margin-top", `${margin.top}px`)
|
||||
.style("margin-left", `${margin.left}px`);
|
||||
|
||||
var ctx = canvas.node().getContext("2d");
|
||||
const ctx = canvas.node().getContext("2d");
|
||||
ctx.globalCompositeOperation = "darken";
|
||||
ctx.globalAlpha = 0.15;
|
||||
ctx.lineWidth = 1.5;
|
||||
@@ -1,5 +1,6 @@
|
||||
// jshint esversion: 6
|
||||
import _ from "lodash";
|
||||
import * as d3 from "d3";
|
||||
|
||||
const paddingRight = 120;
|
||||
const continuousChartWidth = 1200;
|
||||
@@ -17,11 +18,10 @@ export const createDimensions = data => {
|
||||
_.each(data, (value, key) => {
|
||||
if (value.range) {
|
||||
newArr.push({
|
||||
key: key /* room for confusion: lodash calls this key, it's also the name of the property parallel coords code is looking for */,
|
||||
key /* room for confusion: lodash calls this key, it's also the name of the property parallel coords code is looking for */,
|
||||
type: {
|
||||
within: (d, extent, dim) => {
|
||||
return extent[0] <= dim.scale(d) && dim.scale(d) <= extent[1];
|
||||
}
|
||||
within: (d, extent, dim) =>
|
||||
extent[0] <= dim.scale(d) && dim.scale(d) <= extent[1]
|
||||
},
|
||||
scale: d3
|
||||
.scaleSqrt()
|
||||
@@ -39,19 +39,12 @@ export const brushstart = () => {
|
||||
d3.event.sourceEvent.stopPropagation();
|
||||
};
|
||||
|
||||
export const d3_functor = v => {
|
||||
return typeof v === "function"
|
||||
? v
|
||||
: () => {
|
||||
return v;
|
||||
};
|
||||
};
|
||||
|
||||
export const project = (d, dimensions, xscale) => {
|
||||
return dimensions.map((p, i) => {
|
||||
// Unused.
|
||||
// export const d3_functor = v => (typeof v === "function" ? v : () => v);
|
||||
export const project = (d, dimensions, xscale) =>
|
||||
dimensions.map((p, i) => {
|
||||
// check if data element has property and contains a value
|
||||
if (!(p.key in d) || d[p.key] === null) return null;
|
||||
|
||||
return [xscale(i), p.scale(d[p.key])];
|
||||
});
|
||||
};
|
||||
@@ -0,0 +1,153 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { connect } from "react-redux";
|
||||
import * as d3 from "d3";
|
||||
import { interpolateCool } from "d3-scale-chromatic";
|
||||
|
||||
// create continuous color legend
|
||||
// http://bl.ocks.org/syntagmatic/e8ccca52559796be775553b467593a9f
|
||||
const continuous = (selectorId, colorscale, colorAccessor) => {
|
||||
const legendheight = 200;
|
||||
const legendwidth = 80;
|
||||
const margin = { top: 10, right: 60, bottom: 10, left: 2 };
|
||||
|
||||
const canvas = d3
|
||||
.select(selectorId)
|
||||
.style("height", `${legendheight}px`)
|
||||
.style("width", `${legendwidth}px`)
|
||||
.append("canvas")
|
||||
.attr("height", legendheight - margin.top - margin.bottom)
|
||||
.attr("width", 1)
|
||||
.style("height", `${legendheight - margin.top - margin.bottom}px`)
|
||||
.style("width", `${legendwidth - margin.left - margin.right}px`)
|
||||
.style("position", "absolute")
|
||||
.style("top", `${margin.top + 1}px`)
|
||||
.style("left", `${margin.left + 1}px`)
|
||||
.style(
|
||||
"transform",
|
||||
"scale(1,-1)"
|
||||
) /* flip it! dark is high value light is low.
|
||||
we flip the color scale as well [1, 0] instead of [0, 1] */
|
||||
.node();
|
||||
|
||||
const ctx = canvas.getContext("2d");
|
||||
|
||||
const legendscale = d3
|
||||
.scaleLinear()
|
||||
.range([1, legendheight - margin.top - margin.bottom])
|
||||
.domain([
|
||||
colorscale.domain()[1],
|
||||
colorscale.domain()[0]
|
||||
]); /* we flip this to make viridis colors dark if high in the color scale */
|
||||
|
||||
// image data hackery based on http://bl.ocks.org/mbostock/048d21cf747371b11884f75ad896e5a5
|
||||
const image = ctx.createImageData(1, legendheight);
|
||||
d3.range(legendheight).forEach(i => {
|
||||
const c = d3.rgb(colorscale(legendscale.invert(i)));
|
||||
image.data[4 * i] = c.r;
|
||||
image.data[4 * i + 1] = c.g;
|
||||
image.data[4 * i + 2] = c.b;
|
||||
image.data[4 * i + 3] = 255;
|
||||
});
|
||||
ctx.putImageData(image, 0, 0);
|
||||
|
||||
// A simpler way to do the above, but possibly slower. keep in mind the legend
|
||||
// width is stretched because the width attr of the canvas is 1
|
||||
// See http://stackoverflow.com/questions/4899799/whats-the-best-way-to-set-a-single-pixel-in-an-html5-canvas
|
||||
/*
|
||||
d3.range(legendheight).forEach(function(i) {
|
||||
ctx.fillStyle = colorscale(legendscale.invert(i));
|
||||
ctx.fillRect(0,i,1,1);
|
||||
});
|
||||
*/
|
||||
|
||||
const legendaxis = d3
|
||||
.axisRight()
|
||||
.scale(legendscale)
|
||||
.tickSize(6)
|
||||
.ticks(8);
|
||||
|
||||
const svg = d3
|
||||
.select(selectorId)
|
||||
.append("svg")
|
||||
.attr("height", `${legendheight}px`)
|
||||
.attr("width", `${legendwidth}px`)
|
||||
.style("position", "absolute")
|
||||
.style("left", "0px")
|
||||
.style("top", "0px");
|
||||
|
||||
svg
|
||||
.append("g")
|
||||
.attr("class", "axis")
|
||||
.attr(
|
||||
"transform",
|
||||
`translate(${legendwidth - margin.left - margin.right + 3},${margin.top})`
|
||||
)
|
||||
.call(legendaxis);
|
||||
|
||||
// text label for the y axis
|
||||
svg
|
||||
.append("text")
|
||||
.attr("transform", "rotate(-90)")
|
||||
.attr("y", 2)
|
||||
.attr("x", 0 - legendheight / 2)
|
||||
.attr("dy", "1em")
|
||||
.style("text-anchor", "middle")
|
||||
.style("fill", "white")
|
||||
.text(colorAccessor);
|
||||
};
|
||||
|
||||
@connect(state => ({
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
colorScale: state.colors.scale,
|
||||
responsive: state.responsive
|
||||
}))
|
||||
class ContinuousLegend extends React.Component {
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.state = {};
|
||||
}
|
||||
|
||||
componentDidUpdate(prevProps) {
|
||||
const { colorAccessor, responsive, colorScale } = this.props;
|
||||
if (
|
||||
prevProps.colorAccessor !== colorAccessor ||
|
||||
prevProps.colorScale !== colorScale ||
|
||||
prevProps.responsive.height !== responsive.height ||
|
||||
prevProps.responsive.width !== responsive.width
|
||||
) {
|
||||
/* always remove it, if it's not continuous we don't put it back. */
|
||||
d3.select("#continuous_legend")
|
||||
.selectAll("*")
|
||||
.remove();
|
||||
}
|
||||
|
||||
if (colorAccessor && colorScale && colorScale.range) {
|
||||
/* fragile! continuous range is 0 to 1, not [#fa4b2c, ...], make this a flag? */
|
||||
if (colorScale.range()[0][0] !== "#") {
|
||||
continuous(
|
||||
"#continuous_legend",
|
||||
d3.scaleSequential(interpolateCool).domain(colorScale.domain()),
|
||||
colorAccessor
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
render() {
|
||||
const { colorAccessor, responsive } = this.props;
|
||||
return (
|
||||
<div
|
||||
id="continuous_legend"
|
||||
style={{
|
||||
position: "fixed",
|
||||
display: colorAccessor ? "inherit" : "none",
|
||||
right: 0,
|
||||
top: responsive.height / 2
|
||||
}}
|
||||
/>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default ContinuousLegend;
|
||||
@@ -1,4 +1,4 @@
|
||||
.btn {
|
||||
:local(.btn) {
|
||||
background: none;
|
||||
cursor: pointer;
|
||||
color: "#FFF";
|
||||
+1
-1
@@ -1,3 +1,3 @@
|
||||
.container {
|
||||
:local(.container) {
|
||||
min-height: 100%;
|
||||
}
|
||||
@@ -0,0 +1,11 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
|
||||
import styles from "./container.css";
|
||||
|
||||
const Container = props => {
|
||||
const { children } = props;
|
||||
return <div className={styles.container}>{children}</div>;
|
||||
};
|
||||
|
||||
export default Container;
|
||||
@@ -0,0 +1,18 @@
|
||||
import React from "react";
|
||||
import * as globals from "../../globals";
|
||||
|
||||
const Logo = props => {
|
||||
const { size } = props;
|
||||
return (
|
||||
<svg width={size} height={size} viewBox="0 0 48 48" fill="none">
|
||||
<rect width="48" height="48" fill="white" />
|
||||
<rect width="48" height="48" fill={globals.logoColor} />
|
||||
<rect x="19" y="19" width="22" height="22" fill="white" />
|
||||
<rect x="24" y="24" width="12" height="12" fill={globals.logoColor} />
|
||||
<rect x="7" y="19" width="7" height="22" fill="white" />
|
||||
<rect x="19" y="7" width="22" height="7" fill="white" />
|
||||
</svg>
|
||||
);
|
||||
};
|
||||
|
||||
export default Logo;
|
||||
@@ -0,0 +1,31 @@
|
||||
import { Position, Toaster, Intent } from "@blueprintjs/core";
|
||||
|
||||
/** Singleton toaster instance. Create separate instances for different options. */
|
||||
|
||||
const ErrorToastTopCenter = Toaster.create({
|
||||
className: "recipe-toaster",
|
||||
position: Position.TOP
|
||||
});
|
||||
|
||||
/*
|
||||
A "user" error - eg, bad input
|
||||
*/
|
||||
export const postUserErrorToast = message =>
|
||||
ErrorToastTopCenter.show({ message, intent: Intent.WARNING });
|
||||
|
||||
/*
|
||||
A toast the user must dismiss manually, because they need to act on its information,
|
||||
ie., 8 bulk add genes out of 40 were bad. Manually see which ones and fix.
|
||||
*/
|
||||
export const keepAroundErrorToast = message =>
|
||||
ErrorToastTopCenter.show({ message, timeout: 0, intent: Intent.WARNING });
|
||||
|
||||
/*
|
||||
a hard network error
|
||||
*/
|
||||
export const postNetworkErrorToast = message =>
|
||||
ErrorToastTopCenter.show({
|
||||
message,
|
||||
timeout: 30000,
|
||||
intent: Intent.DANGER
|
||||
});
|
||||
@@ -0,0 +1,336 @@
|
||||
// jshint esversion: 6
|
||||
/* rc slider https://www.npmjs.com/package/rc-slider */
|
||||
|
||||
import React from "react";
|
||||
import _ from "lodash";
|
||||
import fuzzysort from "fuzzysort";
|
||||
|
||||
import { connect } from "react-redux";
|
||||
import {
|
||||
MenuItem,
|
||||
Button,
|
||||
FormGroup,
|
||||
InputGroup,
|
||||
ControlGroup
|
||||
} from "@blueprintjs/core";
|
||||
import { Suggest } from "@blueprintjs/select";
|
||||
import HistogramBrush from "../brushableHistogram";
|
||||
import * as globals from "../../globals";
|
||||
import actions from "../../actions";
|
||||
import {
|
||||
postUserErrorToast,
|
||||
keepAroundErrorToast
|
||||
} from "../framework/toasters";
|
||||
|
||||
const renderGene = (fuzzySortResult, { handleClick, modifiers, query }) => {
|
||||
if (!modifiers.matchesPredicate) {
|
||||
return null;
|
||||
}
|
||||
/* the fuzzysort wraps the object with other properties, like a score */
|
||||
const geneName = fuzzySortResult.target;
|
||||
|
||||
return (
|
||||
<MenuItem
|
||||
active={modifiers.active}
|
||||
disabled={modifiers.disabled}
|
||||
data-testid={`suggest-menu-item-${geneName}`}
|
||||
// Use of annotations in this way is incorrect and dataset specific.
|
||||
// See https://github.com/chanzuckerberg/cellxgene/issues/483
|
||||
// label={gene.n_counts}
|
||||
key={geneName}
|
||||
onClick={g =>
|
||||
/* this fires when user clicks a menu item */
|
||||
handleClick(g)
|
||||
}
|
||||
text={geneName}
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
const filterGenes = (query, genes) =>
|
||||
/* fires on load, once, and then for each character typed into the input */
|
||||
fuzzysort.go(query, genes, {
|
||||
limit: 5,
|
||||
threshold: -10000 // don't return bad results
|
||||
});
|
||||
|
||||
@connect(state => {
|
||||
return {
|
||||
obsAnnotations: state.world?.obsAnnotations,
|
||||
userDefinedGenes: state.controls.userDefinedGenes,
|
||||
userDefinedGenesLoading: state.controls.userDefinedGenesLoading,
|
||||
world: state.world,
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
differential: state.differential
|
||||
};
|
||||
})
|
||||
class GeneExpression extends React.Component {
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.state = {
|
||||
bulkAdd: "",
|
||||
tab: "autosuggest"
|
||||
};
|
||||
}
|
||||
|
||||
placeholderGeneNames() {
|
||||
/*
|
||||
return a string containing gene name suggestions for use as a user hint.
|
||||
Eg., Apod, Cd74, ...
|
||||
Will return a max of 3 genes, totalling 15 characters in length.
|
||||
Randomly selects gene names.
|
||||
|
||||
NOTE: the random selection means it will re-render constantly.
|
||||
*/
|
||||
const { world } = this.props;
|
||||
const { varAnnotations } = world;
|
||||
const varIndexName = world.schema.annotations.var.index;
|
||||
const geneNames = varAnnotations.col(varIndexName).asArray();
|
||||
if (geneNames.length > 0) {
|
||||
const placeholder = [];
|
||||
let len = geneNames.length;
|
||||
const maxGeneNameCount = 3;
|
||||
const maxStrLength = 15;
|
||||
len = len < maxGeneNameCount ? len : maxGeneNameCount;
|
||||
for (let i = 0, strLen = 0; i < len && strLen < maxStrLength; i += 1) {
|
||||
const deal = Math.floor(Math.random() * geneNames.length);
|
||||
const geneName = geneNames[deal];
|
||||
placeholder.push(geneName);
|
||||
strLen += geneName.length + 2; // '2' is the length of a comma and space
|
||||
}
|
||||
placeholder.push("...");
|
||||
return placeholder.join(", ");
|
||||
}
|
||||
// default - should never happen.
|
||||
return "Apod, Cd74, ...";
|
||||
}
|
||||
|
||||
handleClick(g) {
|
||||
const { world, dispatch, userDefinedGenes } = this.props;
|
||||
const varIndexName = world.schema.annotations.var.index;
|
||||
const gene = g.target;
|
||||
if (userDefinedGenes.indexOf(gene) !== -1) {
|
||||
postUserErrorToast("That gene already exists");
|
||||
} else if (userDefinedGenes.length > 15) {
|
||||
postUserErrorToast(
|
||||
"That's too many genes, you can have at most 15 user defined genes"
|
||||
);
|
||||
} else if (
|
||||
world.varAnnotations.col(varIndexName).indexOf(gene) === undefined
|
||||
) {
|
||||
postUserErrorToast("That doesn't appear to be a valid gene name.");
|
||||
} else {
|
||||
dispatch({ type: "single user defined gene start" });
|
||||
dispatch(actions.requestUserDefinedGene(gene)).then(
|
||||
() => dispatch({ type: "single user defined gene complete" }),
|
||||
() => dispatch({ type: "single user defined gene error" })
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
handleBulkAddClick() {
|
||||
const { world, dispatch, userDefinedGenes } = this.props;
|
||||
const varIndexName = world.schema.annotations.var.index;
|
||||
const { bulkAdd } = this.state;
|
||||
|
||||
/*
|
||||
test:
|
||||
Apod,,, Cd74,, ,,, Foo, Bar-2,,
|
||||
*/
|
||||
if (bulkAdd !== "") {
|
||||
const genes = _.pull(_.uniq(bulkAdd.split(/[ ,]+/)), "");
|
||||
|
||||
dispatch({ type: "bulk user defined gene start" });
|
||||
Promise.all(
|
||||
genes.map(gene => {
|
||||
if (gene.length === 0) {
|
||||
return keepAroundErrorToast("Must enter a gene name.");
|
||||
}
|
||||
if (userDefinedGenes.indexOf(gene) !== -1) {
|
||||
return keepAroundErrorToast("That gene already exists");
|
||||
}
|
||||
if (
|
||||
world.varAnnotations.col(varIndexName).indexOf(gene) === undefined
|
||||
) {
|
||||
return keepAroundErrorToast(
|
||||
`${gene} doesn't appear to be a valid gene name.`
|
||||
);
|
||||
}
|
||||
return dispatch(actions.requestUserDefinedGene(gene));
|
||||
})
|
||||
).then(
|
||||
() => dispatch({ type: "bulk user defined gene complete" }),
|
||||
() => dispatch({ type: "bulk user defined gene error" })
|
||||
);
|
||||
}
|
||||
|
||||
this.setState({ bulkAdd: "" });
|
||||
}
|
||||
|
||||
render() {
|
||||
const {
|
||||
world,
|
||||
userDefinedGenes,
|
||||
userDefinedGenesLoading,
|
||||
differential
|
||||
} = this.props;
|
||||
const varIndexName = world?.schema?.annotations?.var?.index;
|
||||
const { tab, bulkAdd } = this.state;
|
||||
|
||||
return (
|
||||
<div>
|
||||
<div>
|
||||
<div
|
||||
style={{
|
||||
padding: globals.leftSidebarSectionPadding
|
||||
}}
|
||||
>
|
||||
<Button
|
||||
active={tab === "autosuggest"}
|
||||
style={{ marginRight: 5 }}
|
||||
minimal
|
||||
small
|
||||
data-testid="tab-autosuggest"
|
||||
onClick={() => {
|
||||
this.setState({ tab: "autosuggest" });
|
||||
}}
|
||||
>
|
||||
Autosuggest genes
|
||||
</Button>
|
||||
<Button
|
||||
active={tab === "bulkadd"}
|
||||
minimal
|
||||
small
|
||||
data-testid="section-bulk-add"
|
||||
onClick={() => {
|
||||
this.setState({ tab: "bulkadd" });
|
||||
}}
|
||||
>
|
||||
Bulk add genes
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
{tab === "autosuggest" ? (
|
||||
<ControlGroup
|
||||
style={{
|
||||
paddingLeft: globals.leftSidebarSectionPadding,
|
||||
paddingBottom: globals.leftSidebarSectionPadding
|
||||
}}
|
||||
>
|
||||
<Suggest
|
||||
resetOnSelect
|
||||
closeOnSelect
|
||||
resetOnClose
|
||||
itemDisabled={
|
||||
userDefinedGenesLoading ? () => true : () => false
|
||||
}
|
||||
noResults={<MenuItem disabled text="No matching genes." />}
|
||||
onItemSelect={g => {
|
||||
/* this happens on 'enter' */
|
||||
this.handleClick(g);
|
||||
}}
|
||||
inputProps={{ "data-testid": "gene-search" }}
|
||||
inputValueRenderer={g => {
|
||||
return "";
|
||||
}}
|
||||
itemListPredicate={filterGenes}
|
||||
itemRenderer={renderGene.bind(this)}
|
||||
items={
|
||||
world && world.varAnnotations
|
||||
? world.varAnnotations.col(varIndexName).asArray()
|
||||
: ["No genes"]
|
||||
}
|
||||
popoverProps={{ minimal: true }}
|
||||
/>
|
||||
<Button
|
||||
className="bp3-button bp3-intent-primary"
|
||||
data-testid={"add-gene"}
|
||||
loading={userDefinedGenesLoading}
|
||||
>
|
||||
Add gene
|
||||
</Button>
|
||||
</ControlGroup>
|
||||
) : null}
|
||||
{tab === "bulkadd" ? (
|
||||
<div style={{ paddingLeft: globals.leftSidebarSectionPadding }}>
|
||||
<form
|
||||
onSubmit={e => {
|
||||
e.preventDefault();
|
||||
this.handleBulkAddClick();
|
||||
}}
|
||||
>
|
||||
<FormGroup
|
||||
helperText="Add a list of genes (comma delimited)"
|
||||
labelFor="text-input-bulk-add"
|
||||
>
|
||||
<ControlGroup>
|
||||
<InputGroup
|
||||
onChange={e => {
|
||||
this.setState({ bulkAdd: e.target.value });
|
||||
}}
|
||||
id="text-input-bulk-add"
|
||||
data-testid="input-bulk-add"
|
||||
placeholder={this.placeholderGeneNames()}
|
||||
value={bulkAdd}
|
||||
/>
|
||||
<Button
|
||||
intent="primary"
|
||||
onClick={this.handleBulkAddClick.bind(this)}
|
||||
loading={userDefinedGenesLoading}
|
||||
>
|
||||
Add genes
|
||||
</Button>
|
||||
</ControlGroup>
|
||||
</FormGroup>
|
||||
</form>
|
||||
</div>
|
||||
) : null}
|
||||
{world && userDefinedGenes.length > 0
|
||||
? _.map(userDefinedGenes, (geneName, index) => {
|
||||
const values = world.varData.col(geneName);
|
||||
if (!values) {
|
||||
return null;
|
||||
}
|
||||
const summary = values.summarize();
|
||||
return (
|
||||
<HistogramBrush
|
||||
key={geneName}
|
||||
field={geneName}
|
||||
zebra={index % 2 === 0}
|
||||
ranges={summary}
|
||||
isUserDefined
|
||||
/>
|
||||
);
|
||||
})
|
||||
: null}
|
||||
</div>
|
||||
<div>
|
||||
{differential.diffExp
|
||||
? _.map(differential.diffExp, (value, index) => {
|
||||
const name = world.varAnnotations.at(value[0], varIndexName);
|
||||
const values = world.varData.col(name);
|
||||
if (!values) {
|
||||
return null;
|
||||
}
|
||||
const summary = values.summarize();
|
||||
return (
|
||||
<HistogramBrush
|
||||
key={name}
|
||||
field={name}
|
||||
zebra={index % 2 === 0}
|
||||
ranges={summary}
|
||||
isDiffExp
|
||||
logFoldChange={value[1]}
|
||||
pval={value[2]}
|
||||
pvalAdj={value[3]}
|
||||
/>
|
||||
);
|
||||
})
|
||||
: null}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default GeneExpression;
|
||||
+9
-3
@@ -1,5 +1,6 @@
|
||||
// jshint esversion: 6
|
||||
const mat4 = require("gl-mat4");
|
||||
const vec3 = require("gl-vec3");
|
||||
|
||||
// opacity: https://github.com/spacetx/starfish/blob/master/viz/draw/regions.js
|
||||
|
||||
@@ -38,14 +39,19 @@ export default function(regl) {
|
||||
uniforms: {
|
||||
distance: regl.prop("distance"),
|
||||
view: regl.prop("view"),
|
||||
projection: (context, props) => {
|
||||
return mat4.perspective(
|
||||
projection: ({ viewportWidth, viewportHeight }) => {
|
||||
const aspectRatio = viewportWidth / viewportHeight;
|
||||
let m = mat4.perspective(
|
||||
[],
|
||||
Math.PI / 2,
|
||||
context.viewportWidth * props.scale / context.viewportHeight,
|
||||
viewportWidth / viewportHeight,
|
||||
0.01,
|
||||
1000
|
||||
);
|
||||
if (aspectRatio < 1) {
|
||||
m = mat4.scale(m, m, vec3.fromValues(1, 1, 1 / aspectRatio));
|
||||
}
|
||||
return m;
|
||||
}
|
||||
},
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
.graphCanvas path {
|
||||
:local(.graphCanvas) path {
|
||||
shape-rendering: crispEdges;
|
||||
}
|
||||
|
||||
@@ -16,8 +16,8 @@
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
.axis path,
|
||||
.axis line {
|
||||
:local(.axis) path,
|
||||
:local(.axis) line {
|
||||
fill: none;
|
||||
stroke: #000;
|
||||
stroke-width: 1px;
|
||||
@@ -29,6 +29,6 @@ circle {
|
||||
fill: none;
|
||||
}
|
||||
|
||||
.hidden {
|
||||
:local(.hidden) {
|
||||
display: none;
|
||||
}
|
||||
@@ -0,0 +1,687 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import * as d3 from "d3";
|
||||
import { connect } from "react-redux";
|
||||
import mat4 from "gl-mat4";
|
||||
import _regl from "regl";
|
||||
import memoize from "memoize-one";
|
||||
|
||||
import * as globals from "../../globals";
|
||||
import setupSVGandBrushElements from "./setupSVGandBrush";
|
||||
import setupCentroidSVG from "./setupCentroidSVG";
|
||||
import actions from "../../actions";
|
||||
import _camera from "../../util/camera";
|
||||
import _drawPoints from "./drawPointsRegl";
|
||||
import scaleLinear from "../../util/scaleLinear";
|
||||
|
||||
/* https://bl.ocks.org/mbostock/9078690 - quadtree for onClick / hover selections */
|
||||
|
||||
@connect(state => ({
|
||||
world: state.world,
|
||||
crossfilter: state.crossfilter,
|
||||
responsive: state.responsive,
|
||||
colorRGB: state.colors.rgb,
|
||||
selectionTool: state.graphSelection.tool,
|
||||
currentSelection: state.graphSelection.selection,
|
||||
layoutChoice: state.layoutChoice,
|
||||
centroidLabel: state.centroidLabel,
|
||||
graphInteractionMode: state.controls.graphInteractionMode,
|
||||
colorAccessor: state.colors.colorAccessor
|
||||
}))
|
||||
class Graph extends React.Component {
|
||||
computePointPositions = memoize((X, Y, scaleX, scaleY) => {
|
||||
/*
|
||||
compute webgl coordinate buffer for each point
|
||||
*/
|
||||
const positions = new Float32Array(2 * X.length);
|
||||
for (let i = 0, len = X.length; i < len; i += 1) {
|
||||
positions[2 * i] = scaleX(X[i]);
|
||||
positions[2 * i + 1] = scaleY(Y[i]);
|
||||
}
|
||||
return positions;
|
||||
});
|
||||
|
||||
computePointColors = memoize(rgb => {
|
||||
/*
|
||||
compute webgl colors for each point
|
||||
*/
|
||||
const colors = new Float32Array(3 * rgb.length);
|
||||
for (let i = 0, len = rgb.length; i < len; i += 1) {
|
||||
colors.set(rgb[i], 3 * i);
|
||||
}
|
||||
return colors;
|
||||
});
|
||||
|
||||
computePointSizesFromCrossfilter = memoize((len, crossfilter) => {
|
||||
const sizes = new Float32Array(len);
|
||||
crossfilter.fillByIsSelected(sizes, 4, 0.2);
|
||||
|
||||
return sizes;
|
||||
});
|
||||
|
||||
computePointSizes = memoize(
|
||||
(len, crossfilter, metadataField, categoryField) => {
|
||||
/*
|
||||
compute webgl dot size for each point
|
||||
*/
|
||||
|
||||
const selectionSizes = this.computePointSizesFromCrossfilter(
|
||||
len,
|
||||
crossfilter
|
||||
);
|
||||
let sizes;
|
||||
|
||||
if (metadataField && categoryField) {
|
||||
sizes = selectionSizes.slice();
|
||||
const valuesArr = crossfilter.data.col(metadataField).asArray();
|
||||
|
||||
for (let i = 0; i < len; i += 1) {
|
||||
if (valuesArr[i] === categoryField) {
|
||||
sizes[i] = 10;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
sizes = selectionSizes;
|
||||
}
|
||||
return sizes;
|
||||
}
|
||||
);
|
||||
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.count = 0;
|
||||
this.graphPaddingTop = 0;
|
||||
this.graphPaddingRight = globals.leftSidebarWidth;
|
||||
this.renderCache = {
|
||||
X: null,
|
||||
Y: null,
|
||||
positions: null,
|
||||
colors: null,
|
||||
sizes: null
|
||||
};
|
||||
this.state = {
|
||||
toolSVG: null,
|
||||
centroidSVG: null,
|
||||
tool: null,
|
||||
container: null
|
||||
};
|
||||
}
|
||||
|
||||
componentDidMount() {
|
||||
// setup canvas and camera
|
||||
const camera = _camera(this.reglCanvas, { scale: true, rotate: false });
|
||||
const regl = _regl(this.reglCanvas);
|
||||
|
||||
const drawPoints = _drawPoints(regl);
|
||||
|
||||
// preallocate buffers
|
||||
const pointBuffer = regl.buffer();
|
||||
const colorBuffer = regl.buffer();
|
||||
const sizeBuffer = regl.buffer();
|
||||
|
||||
// preallocate coordinate system transformation between data and gl
|
||||
const fractionToUse = 0.93; // fraction of dimension to use
|
||||
const shiftForMenuBar = 0.05;
|
||||
const transform = {
|
||||
glScaleX: scaleLinear([0, 1], [-1 * fractionToUse, 1 * fractionToUse]),
|
||||
glScaleY: scaleLinear(
|
||||
[0, 1],
|
||||
[
|
||||
(1 + shiftForMenuBar) * fractionToUse,
|
||||
(-1 + shiftForMenuBar) * fractionToUse
|
||||
]
|
||||
)
|
||||
};
|
||||
|
||||
/* first time, but this duplicates above function, should be possile to avoid this */
|
||||
const reglRender = regl.frame(() => {
|
||||
this.reglDraw(
|
||||
regl,
|
||||
drawPoints,
|
||||
sizeBuffer,
|
||||
colorBuffer,
|
||||
pointBuffer,
|
||||
camera
|
||||
);
|
||||
camera.tick();
|
||||
});
|
||||
|
||||
this.reglRenderState = "rendering";
|
||||
|
||||
this.setState({
|
||||
regl,
|
||||
drawPoints,
|
||||
pointBuffer,
|
||||
colorBuffer,
|
||||
sizeBuffer,
|
||||
camera,
|
||||
reglRender,
|
||||
transform
|
||||
});
|
||||
}
|
||||
|
||||
componentDidUpdate(prevProps) {
|
||||
const { renderCache } = this;
|
||||
const {
|
||||
world,
|
||||
crossfilter,
|
||||
colorRGB,
|
||||
responsive,
|
||||
selectionTool,
|
||||
currentSelection,
|
||||
layoutChoice,
|
||||
graphInteractionMode,
|
||||
colorAccessor,
|
||||
centroidLabel
|
||||
} = this.props;
|
||||
const { reglRender, mode, regl, toolSVG, centroidSVG } = this.state;
|
||||
let stateChanges = {};
|
||||
|
||||
if (reglRender) {
|
||||
if (
|
||||
// If it IS RENDERING and it is NOT IN ZOOM mode, stop rendering.
|
||||
this.reglRenderState === "rendering" &&
|
||||
graphInteractionMode !== "zoom"
|
||||
) {
|
||||
reglRender.cancel();
|
||||
this.reglRenderState = "paused";
|
||||
}
|
||||
|
||||
if (
|
||||
// If it is NOT RENDERING and it IS IN ZOOM mode, start rendering
|
||||
this.reglRenderState !== "rendering" &&
|
||||
graphInteractionMode === "zoom"
|
||||
) {
|
||||
this.restartReglLoop();
|
||||
this.reglRenderState = "rendering";
|
||||
}
|
||||
}
|
||||
|
||||
if (regl && world) {
|
||||
/* update the regl state */
|
||||
const { obsLayout, nObs } = world;
|
||||
const {
|
||||
drawPoints,
|
||||
transform,
|
||||
camera,
|
||||
pointBuffer,
|
||||
colorBuffer,
|
||||
sizeBuffer
|
||||
} = this.state;
|
||||
|
||||
/* coordinates for each point */
|
||||
const { glScaleX, glScaleY } = transform;
|
||||
const X = obsLayout.col(layoutChoice.currentDimNames[0]).asArray();
|
||||
const Y = obsLayout.col(layoutChoice.currentDimNames[1]).asArray();
|
||||
const newPositions = this.computePointPositions(X, Y, glScaleX, glScaleY);
|
||||
if (renderCache.positions !== newPositions) {
|
||||
/* update our cache & GL if the buffer changes */
|
||||
renderCache.positions = newPositions;
|
||||
pointBuffer({ data: newPositions, dimension: 2 });
|
||||
}
|
||||
|
||||
/* colors for each point */
|
||||
const newColors = this.computePointColors(colorRGB);
|
||||
if (renderCache.colors !== newColors) {
|
||||
/* update our cache & GL if the buffer changes */
|
||||
renderCache.colors = newColors;
|
||||
colorBuffer({ data: newColors, dimension: 3 });
|
||||
}
|
||||
|
||||
/* sizes for each point */
|
||||
const { metadataField, categoryField } = centroidLabel;
|
||||
const newSizes = this.computePointSizes(
|
||||
nObs,
|
||||
crossfilter,
|
||||
metadataField,
|
||||
categoryField
|
||||
);
|
||||
if (renderCache.sizes !== newSizes) {
|
||||
/* update our cache & GL if the buffer changes */
|
||||
renderCache.size = newSizes;
|
||||
sizeBuffer({ data: newSizes, dimension: 1 });
|
||||
}
|
||||
|
||||
this.count = nObs;
|
||||
|
||||
regl._refresh();
|
||||
this.reglDraw(
|
||||
regl,
|
||||
drawPoints,
|
||||
sizeBuffer,
|
||||
colorBuffer,
|
||||
pointBuffer,
|
||||
camera
|
||||
);
|
||||
}
|
||||
|
||||
const createToolSVG = () => {
|
||||
/* clear out whatever was on the div, even if nothing, but usually the brushes etc */
|
||||
d3.select("#graphAttachPoint")
|
||||
.select("#tool")
|
||||
.remove();
|
||||
|
||||
let handleStart;
|
||||
let handleDrag;
|
||||
let handleEnd;
|
||||
let handleCancel;
|
||||
if (selectionTool === "brush") {
|
||||
handleStart = this.handleBrushStartAction.bind(this);
|
||||
handleDrag = this.handleBrushDragAction.bind(this);
|
||||
handleEnd = this.handleBrushEndAction.bind(this);
|
||||
} else {
|
||||
handleStart = this.handleLassoStart.bind(this);
|
||||
handleEnd = this.handleLassoEnd.bind(this);
|
||||
handleCancel = this.handleLassoCancel.bind(this);
|
||||
}
|
||||
|
||||
const { svg: newToolSVG, tool, container } = setupSVGandBrushElements(
|
||||
selectionTool,
|
||||
handleStart,
|
||||
handleDrag,
|
||||
handleEnd,
|
||||
handleCancel,
|
||||
responsive,
|
||||
this.graphPaddingRight,
|
||||
graphInteractionMode
|
||||
);
|
||||
|
||||
stateChanges = { ...stateChanges, toolSVG: newToolSVG, tool, container };
|
||||
};
|
||||
|
||||
const createCentroidSVG = () => {
|
||||
d3.select("#graphAttachPoint")
|
||||
.select("#centroid-container")
|
||||
.remove();
|
||||
|
||||
if (centroidLabel.metadataField === "" || !centroidLabel.centroidXY) {
|
||||
return;
|
||||
}
|
||||
|
||||
const centroidScreen = this.mapPointToScreen(centroidLabel.centroidXY);
|
||||
|
||||
const newCentroidSVG = setupCentroidSVG(
|
||||
responsive,
|
||||
this.graphPaddingRight,
|
||||
centroidScreen,
|
||||
centroidLabel.categoryField,
|
||||
colorAccessor
|
||||
);
|
||||
|
||||
stateChanges = { ...stateChanges, centroidSVG: newCentroidSVG };
|
||||
};
|
||||
|
||||
// Centroid SVG creation is disabled for now but should go into the first and third cases if enabled
|
||||
if (
|
||||
prevProps.responsive.height !== responsive.height ||
|
||||
prevProps.responsive.width !== responsive.width
|
||||
) {
|
||||
// If the window size has changed we want to recreate all SVGs
|
||||
createToolSVG();
|
||||
} else if (
|
||||
(responsive.height && responsive.width && !toolSVG) ||
|
||||
selectionTool !== prevProps.selectionTool ||
|
||||
prevProps.graphInteractionMode !== graphInteractionMode
|
||||
) {
|
||||
// first time or change of selection tool6
|
||||
createToolSVG();
|
||||
} else if (
|
||||
centroidLabel !== prevProps.centroidLabel ||
|
||||
(responsive.height && responsive.width && !centroidSVG)
|
||||
) {
|
||||
// First time for centroid or label change
|
||||
}
|
||||
|
||||
/*
|
||||
if the selection tool or state has changed, ensure that the selection
|
||||
tool correctly reflects the underlying selection.
|
||||
*/
|
||||
if (
|
||||
currentSelection !== prevProps.currentSelection ||
|
||||
graphInteractionMode !== prevProps.graphInteractionMode ||
|
||||
stateChanges.toolSVG
|
||||
) {
|
||||
const { tool, container } = this.state;
|
||||
this.selectionToolUpdate(
|
||||
stateChanges.tool ? stateChanges.tool : tool,
|
||||
stateChanges.container ? stateChanges.container : container
|
||||
);
|
||||
}
|
||||
|
||||
if (Object.keys(stateChanges).length > 0) {
|
||||
this.setState(stateChanges);
|
||||
}
|
||||
}
|
||||
|
||||
brushToolUpdate(tool, container) {
|
||||
/*
|
||||
this is called from componentDidUpdate(), so be very careful using
|
||||
anything from this.state, which may be updated asynchronously.
|
||||
*/
|
||||
const { currentSelection } = this.props;
|
||||
if (container) {
|
||||
const toolCurrentSelection = d3.brushSelection(container.node());
|
||||
|
||||
if (currentSelection.mode === "within-rect") {
|
||||
/*
|
||||
if there is a selection, make sure the brush tool matches
|
||||
*/
|
||||
const screenCoords = [
|
||||
this.mapPointToScreen(currentSelection.brushCoords.northwest),
|
||||
this.mapPointToScreen(currentSelection.brushCoords.southeast)
|
||||
];
|
||||
if (!toolCurrentSelection) {
|
||||
/* tool is not selected, so just move the brush */
|
||||
container.call(tool.move, screenCoords);
|
||||
} else {
|
||||
/* there is an active selection and a brush - make sure they match */
|
||||
/* this just sums the difference of each dimension, of each point */
|
||||
let delta = 0;
|
||||
for (let x = 0; x < 2; x += 1) {
|
||||
for (let y = 0; y < 2; y += 1) {
|
||||
delta += Math.abs(
|
||||
screenCoords[x][y] - toolCurrentSelection[x][y]
|
||||
);
|
||||
}
|
||||
}
|
||||
if (delta > 0) {
|
||||
container.call(tool.move, screenCoords);
|
||||
}
|
||||
}
|
||||
} else if (toolCurrentSelection) {
|
||||
/* no selection, so clear the brush tool if it is set */
|
||||
container.call(tool.move, null);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
lassoToolUpdate(tool) {
|
||||
/*
|
||||
this is called from componentDidUpdate(), so be very careful using
|
||||
anything from this.state, which may be updated asynchronously.
|
||||
*/
|
||||
const { currentSelection } = this.props;
|
||||
if (currentSelection.mode === "within-polygon") {
|
||||
/*
|
||||
if there is a current selection, make sure the lasso tool matches
|
||||
*/
|
||||
const polygon = currentSelection.polygon.map(p =>
|
||||
this.mapPointToScreen(p)
|
||||
);
|
||||
tool.move(polygon);
|
||||
} else {
|
||||
tool.reset();
|
||||
}
|
||||
}
|
||||
|
||||
selectionToolUpdate(tool, container) {
|
||||
/*
|
||||
this is called from componentDidUpdate(), so be very careful using
|
||||
anything from this.state, which may be updated asynchronously.
|
||||
*/
|
||||
const { selectionTool } = this.props;
|
||||
switch (selectionTool) {
|
||||
case "brush":
|
||||
this.brushToolUpdate(tool, container);
|
||||
break;
|
||||
case "lasso":
|
||||
this.lassoToolUpdate(tool, container);
|
||||
break;
|
||||
default:
|
||||
/* punt? */
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
reglDraw(regl, drawPoints, sizeBuffer, colorBuffer, pointBuffer, camera) {
|
||||
regl.clear({
|
||||
depth: 1,
|
||||
color: [1, 1, 1, 1]
|
||||
});
|
||||
drawPoints({
|
||||
size: sizeBuffer,
|
||||
distance: camera.distance,
|
||||
color: colorBuffer,
|
||||
position: pointBuffer,
|
||||
count: this.count,
|
||||
view: camera.view()
|
||||
});
|
||||
}
|
||||
|
||||
restartReglLoop() {
|
||||
const {
|
||||
regl,
|
||||
drawPoints,
|
||||
sizeBuffer,
|
||||
colorBuffer,
|
||||
pointBuffer,
|
||||
camera
|
||||
} = this.state;
|
||||
const reglRender = regl.frame(() => {
|
||||
this.reglDraw(
|
||||
regl,
|
||||
drawPoints,
|
||||
sizeBuffer,
|
||||
colorBuffer,
|
||||
pointBuffer,
|
||||
camera
|
||||
);
|
||||
camera.tick();
|
||||
});
|
||||
|
||||
this.reglRenderState = "rendering";
|
||||
|
||||
this.setState({
|
||||
reglRender
|
||||
});
|
||||
}
|
||||
|
||||
mapScreenToPoint(pin) {
|
||||
/*
|
||||
Map an XY coordinates from screen domain to cell/point range,
|
||||
accounting for current pan/zoom camera.
|
||||
*/
|
||||
const { responsive } = this.props;
|
||||
const { regl, camera, transform } = this.state;
|
||||
const { glScaleX, glScaleY } = transform;
|
||||
|
||||
const gl = regl._gl;
|
||||
|
||||
// get aspect ratio
|
||||
const aspect = gl.drawingBufferWidth / gl.drawingBufferHeight;
|
||||
const scale = aspect < 1 ? 1 / aspect : 1;
|
||||
|
||||
// compute inverse view matrix
|
||||
const inverse = mat4.invert([], camera.view());
|
||||
|
||||
// transform screen coordinates -> cell coordinates
|
||||
const x = (2 * pin[0]) / (responsive.width - this.graphPaddingRight) - 1;
|
||||
const y = 2 * (1 - pin[1] / (responsive.height - this.graphPaddingTop)) - 1;
|
||||
const pout = [
|
||||
x * inverse[14] * aspect * scale + inverse[12],
|
||||
-(y * inverse[14] * scale + inverse[13])
|
||||
];
|
||||
|
||||
const xy = [glScaleX.invert(pout[0]), glScaleY.invert(pout[1])];
|
||||
return xy;
|
||||
}
|
||||
|
||||
mapPointToScreen(xyCell) {
|
||||
/*
|
||||
Map an XY coordinate from cell/point domain to screen range. Inverse
|
||||
of mapScreenToPoint()
|
||||
*/
|
||||
const { responsive } = this.props;
|
||||
const { regl, camera, transform } = this.state;
|
||||
const { glScaleX, glScaleY } = transform;
|
||||
|
||||
const gl = regl._gl;
|
||||
|
||||
// get aspect ratio
|
||||
const aspect = gl.drawingBufferWidth / gl.drawingBufferHeight;
|
||||
const scale = aspect < 1 ? 1 / aspect : 1;
|
||||
|
||||
// compute inverse view matrix
|
||||
const inverse = mat4.invert([], camera.view());
|
||||
|
||||
// variable names are choosen to reflect inverse of those used
|
||||
// in mapScreenToPoint().
|
||||
const pout = [glScaleX(xyCell[0]), glScaleY(xyCell[1])];
|
||||
const x = (pout[0] - inverse[12]) / aspect / scale / inverse[14];
|
||||
const y = (-pout[1] - inverse[13]) / scale / inverse[14];
|
||||
|
||||
const pin = [
|
||||
Math.round(((x + 1) * (responsive.width - this.graphPaddingRight)) / 2),
|
||||
Math.round(
|
||||
-((y + 1) / 2 - 1) * (responsive.height - this.graphPaddingTop)
|
||||
)
|
||||
];
|
||||
return pin;
|
||||
}
|
||||
|
||||
handleBrushDragAction() {
|
||||
/*
|
||||
event describing brush position:
|
||||
@-------|
|
||||
| |
|
||||
| |
|
||||
|-------@
|
||||
*/
|
||||
// ignore programatically generated events
|
||||
if (d3.event.sourceEvent === null || !d3.event.selection) return;
|
||||
|
||||
const { dispatch } = this.props;
|
||||
const s = d3.event.selection;
|
||||
const brushCoords = {
|
||||
northwest: this.mapScreenToPoint([s[0][0], s[0][1]]),
|
||||
southeast: this.mapScreenToPoint([s[1][0], s[1][1]])
|
||||
};
|
||||
|
||||
dispatch({
|
||||
type: "graph brush change",
|
||||
brushCoords
|
||||
});
|
||||
}
|
||||
|
||||
handleBrushStartAction() {
|
||||
// Ignore programatically generated events.
|
||||
if (!d3.event.sourceEvent) return;
|
||||
|
||||
const { dispatch } = this.props;
|
||||
dispatch({ type: "graph brush start" });
|
||||
}
|
||||
|
||||
handleBrushEndAction() {
|
||||
// Ignore programatically generated events.
|
||||
if (!d3.event.sourceEvent) return;
|
||||
|
||||
/*
|
||||
coordinates will be included if selection made, null
|
||||
if selection cleared.
|
||||
*/
|
||||
const { dispatch } = this.props;
|
||||
const s = d3.event.selection;
|
||||
if (s) {
|
||||
const brushCoords = {
|
||||
northwest: this.mapScreenToPoint(s[0]),
|
||||
southeast: this.mapScreenToPoint(s[1])
|
||||
};
|
||||
dispatch({
|
||||
type: "graph brush end",
|
||||
brushCoords
|
||||
});
|
||||
} else {
|
||||
dispatch({
|
||||
type: "graph brush deselect"
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
handleBrushDeselectAction() {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({
|
||||
type: "graph brush deselect"
|
||||
});
|
||||
}
|
||||
|
||||
handleLassoStart() {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({
|
||||
type: "graph lasso start"
|
||||
});
|
||||
}
|
||||
|
||||
// when a lasso is completed, filter to the points within the lasso polygon
|
||||
handleLassoEnd(polygon) {
|
||||
const minimumPolygonArea = 10;
|
||||
const { dispatch } = this.props;
|
||||
|
||||
if (
|
||||
polygon.length < 3 ||
|
||||
Math.abs(d3.polygonArea(polygon)) < minimumPolygonArea
|
||||
) {
|
||||
// if less than three points, or super small area, treat as a clear selection.
|
||||
dispatch({ type: "graph lasso deselect" });
|
||||
} else {
|
||||
dispatch({
|
||||
type: "graph lasso end",
|
||||
polygon: polygon.map(xy => this.mapScreenToPoint(xy)) // transform the polygon
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
handleLassoCancel() {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({ type: "graph lasso cancel" });
|
||||
}
|
||||
|
||||
handleLassoDeselectAction() {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({ type: "graph lasso deselect" });
|
||||
}
|
||||
|
||||
handleDeselectAction() {
|
||||
const { selectionTool } = this.props;
|
||||
if (selectionTool === "brush") this.handleBrushDeselectAction();
|
||||
if (selectionTool === "lasso") this.handleLassoDeselectAction();
|
||||
}
|
||||
|
||||
handleOpacityRangeChange(e) {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({
|
||||
type: "change opacity deselected cells in 2d graph background",
|
||||
data: e.target.value
|
||||
});
|
||||
}
|
||||
|
||||
render() {
|
||||
const { responsive, graphInteractionMode } = this.props;
|
||||
|
||||
return (
|
||||
<div id="graphWrapper">
|
||||
<div
|
||||
style={{
|
||||
zIndex: -9999,
|
||||
position: "fixed",
|
||||
top: this.graphPaddingTop,
|
||||
right: 0
|
||||
}}
|
||||
>
|
||||
<div id="graphAttachPoint" />
|
||||
<div style={{ padding: 0, margin: 0 }}>
|
||||
<canvas
|
||||
width={responsive.width - this.graphPaddingRight}
|
||||
height={responsive.height - this.graphPaddingTop}
|
||||
data-testid="layout-graph"
|
||||
ref={canvas => {
|
||||
this.reglCanvas = canvas;
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default Graph;
|
||||
@@ -0,0 +1,34 @@
|
||||
import * as d3 from "d3";
|
||||
import styles from "./graph.css";
|
||||
|
||||
export default (responsive, graphPaddingRight, xy, text, colorBy) => {
|
||||
const containerWidth = responsive.width - graphPaddingRight;
|
||||
|
||||
const svg = d3
|
||||
.select("#graphAttachPoint")
|
||||
.append("svg")
|
||||
.attr("id", "centroid-container")
|
||||
.attr("data-testid", "centroid-overlay")
|
||||
.attr("width", containerWidth)
|
||||
.attr("height", responsive.height)
|
||||
.attr("class", `${styles.graphSVG}`)
|
||||
.style("z-index", 998)
|
||||
.style("pointer-events", "none");
|
||||
// TODO: Create own styles, ask Colin for an explanation on the css
|
||||
// For now I'm going to put centroid z-index at 998 and lasso on 999
|
||||
|
||||
const label = svg
|
||||
.append("g")
|
||||
.attr("transform", `translate(${xy[0]}, ${xy[1]})`);
|
||||
|
||||
label
|
||||
.append("text")
|
||||
.attr("text-anchor", "middle")
|
||||
.text(text)
|
||||
.style("font-family", "Roboto Condensed")
|
||||
.style("font-size", "18px")
|
||||
.style("font-weight", "700")
|
||||
.style("fill", colorBy ? "black" : "rgb(32, 178, 212)");
|
||||
|
||||
return svg;
|
||||
};
|
||||
@@ -0,0 +1,146 @@
|
||||
// https://bl.ocks.org/pbeshai/8008075f9ce771ee8be39e8c38907570
|
||||
|
||||
import * as d3 from "d3";
|
||||
|
||||
const Lasso = () => {
|
||||
const dispatch = d3.dispatch("start", "end", "cancel");
|
||||
|
||||
const polygonToPath = polygon =>
|
||||
`M${polygon.map(d => d.join(",")).join("L")}`;
|
||||
|
||||
const distance = (pt1, pt2) =>
|
||||
Math.sqrt((pt2[0] - pt1[0]) ** 2 + (pt2[1] - pt1[1]) ** 2);
|
||||
|
||||
// distance last point has to be to first point before it auto closes when mouse is released
|
||||
const closeDistance = 75;
|
||||
|
||||
const lasso = svg => {
|
||||
let lassoPolygon;
|
||||
let lassoPath;
|
||||
let closePath;
|
||||
|
||||
const handleDragStart = () => {
|
||||
lassoPolygon = [d3.mouse(svg.node())]; // current x y of mouse within element
|
||||
|
||||
if (lassoPath) {
|
||||
lassoPath.remove();
|
||||
}
|
||||
|
||||
lassoPath = g
|
||||
.append("path")
|
||||
.attr("data-testid", "lasso-element")
|
||||
.attr("fill", "#0bb")
|
||||
.attr("fill-opacity", 0.1)
|
||||
.attr("stroke", "#0bb")
|
||||
.attr("stroke-dasharray", "3, 3");
|
||||
|
||||
closePath = g
|
||||
.append("line")
|
||||
.attr("x2", lassoPolygon[0][0])
|
||||
.attr("y2", lassoPolygon[0][1])
|
||||
.attr("stroke", "#0bb")
|
||||
.attr("stroke-dasharray", "3, 3")
|
||||
.attr("opacity", 0);
|
||||
|
||||
dispatch.call("start", lasso, lassoPolygon);
|
||||
};
|
||||
|
||||
const handleDrag = () => {
|
||||
const point = d3.mouse(svg.node());
|
||||
lassoPolygon.push(point);
|
||||
lassoPath.attr("d", polygonToPath(lassoPolygon));
|
||||
|
||||
// indicate if we are within closing distance
|
||||
if (
|
||||
distance(lassoPolygon[0], lassoPolygon[lassoPolygon.length - 1]) <
|
||||
closeDistance
|
||||
) {
|
||||
closePath
|
||||
.attr("x1", point[0])
|
||||
.attr("y1", point[1])
|
||||
.attr("opacity", 1);
|
||||
} else {
|
||||
closePath.attr("opacity", 0);
|
||||
}
|
||||
};
|
||||
|
||||
const handleDragEnd = () => {
|
||||
// remove the close path
|
||||
closePath.remove();
|
||||
closePath = null;
|
||||
|
||||
// succesfully closed
|
||||
if (
|
||||
distance(lassoPolygon[0], lassoPolygon[lassoPolygon.length - 1]) <
|
||||
closeDistance
|
||||
) {
|
||||
lassoPath.attr("d", `${polygonToPath(lassoPolygon)}Z`);
|
||||
dispatch.call("end", lasso, lassoPolygon);
|
||||
|
||||
// otherwise cancel
|
||||
} else {
|
||||
lassoPath.remove();
|
||||
lassoPath = null;
|
||||
lassoPolygon = null;
|
||||
dispatch.call("cancel");
|
||||
}
|
||||
};
|
||||
|
||||
// append a <g> with a rect
|
||||
const g = svg.append("g").attr("class", "lasso-group");
|
||||
const bbox = svg.node().getBoundingClientRect();
|
||||
const area = g
|
||||
.append("rect")
|
||||
.attr("width", bbox.width)
|
||||
.attr("height", bbox.height)
|
||||
.attr("fill", "tomato")
|
||||
.attr("opacity", 0);
|
||||
|
||||
const drag = d3
|
||||
.drag()
|
||||
.on("start", handleDragStart)
|
||||
.on("drag", handleDrag)
|
||||
.on("end", handleDragEnd);
|
||||
|
||||
area.call(drag);
|
||||
|
||||
lasso.reset = () => {
|
||||
if (lassoPath) {
|
||||
lassoPath.remove();
|
||||
lassoPath = null;
|
||||
}
|
||||
|
||||
lassoPolygon = null;
|
||||
if (closePath) {
|
||||
closePath.remove();
|
||||
closePath = null;
|
||||
}
|
||||
};
|
||||
|
||||
lasso.move = polygon => {
|
||||
if (polygon !== lassoPolygon || polygon.length !== lassoPolygon.length) {
|
||||
lasso.reset();
|
||||
|
||||
lassoPolygon = polygon;
|
||||
lassoPath = g
|
||||
.append("path")
|
||||
.attr("data-testid", "lasso-element")
|
||||
.attr("fill", "#0bb")
|
||||
.attr("fill-opacity", 0.1)
|
||||
.attr("stroke", "#0bb")
|
||||
.attr("stroke-dasharray", "3, 3");
|
||||
|
||||
lassoPath.attr("d", `${polygonToPath(lassoPolygon)}Z`);
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
lasso.on = (type, callback) => {
|
||||
dispatch.on(type, callback);
|
||||
return lasso;
|
||||
};
|
||||
|
||||
return lasso;
|
||||
};
|
||||
|
||||
export default Lasso;
|
||||
@@ -0,0 +1,66 @@
|
||||
// jshint esversion: 6
|
||||
import * as d3 from "d3";
|
||||
import styles from "./graph.css";
|
||||
import Lasso from "./setupLasso";
|
||||
|
||||
/******************************************
|
||||
*******************************************
|
||||
put svg & brush in DOM
|
||||
*******************************************
|
||||
******************************************/
|
||||
|
||||
export default (
|
||||
selectionToolType,
|
||||
handleStartAction,
|
||||
handleDragAction,
|
||||
handleEndAction,
|
||||
handleCancelAction,
|
||||
responsive,
|
||||
graphPaddingRight,
|
||||
graphInteractionMode
|
||||
) => {
|
||||
const svg = d3
|
||||
.select("#graphAttachPoint")
|
||||
.append("svg")
|
||||
.attr("id", "tool")
|
||||
.attr("data-testid", "layout-overlay")
|
||||
.attr("width", responsive.width - graphPaddingRight)
|
||||
.attr("height", responsive.height)
|
||||
.attr("class", `${styles.graphSVG}`)
|
||||
.style("z-index", 999)
|
||||
.style("display", graphInteractionMode === "select" ? "inherit" : "none");
|
||||
|
||||
if (selectionToolType === "brush") {
|
||||
const brush = d3
|
||||
.brush()
|
||||
.extent([
|
||||
[0, 0],
|
||||
[responsive.width - graphPaddingRight, responsive.height]
|
||||
])
|
||||
.on("start", handleStartAction)
|
||||
.on("brush", handleDragAction)
|
||||
// FYI, brush doesn't generate cancel
|
||||
.on("end", handleEndAction);
|
||||
|
||||
const brushContainer = svg
|
||||
.append("g")
|
||||
.attr("class", "graph_brush")
|
||||
.call(brush);
|
||||
|
||||
return { svg, container: brushContainer, tool: brush };
|
||||
}
|
||||
|
||||
if (selectionToolType === "lasso") {
|
||||
const lasso = Lasso()
|
||||
.on("end", handleEndAction)
|
||||
// FYI, Lasso doesn't generate drag
|
||||
.on("start", handleStartAction)
|
||||
.on("cancel", handleCancelAction);
|
||||
|
||||
const lassoContainer = svg.call(lasso);
|
||||
|
||||
return { svg, container: lassoContainer, tool: lasso };
|
||||
}
|
||||
|
||||
throw new Error("unknown graph selection tool");
|
||||
};
|
||||
@@ -0,0 +1,61 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { connect } from "react-redux";
|
||||
import Categorical from "../categorical/categorical";
|
||||
import Continuous from "../continuous/continuous";
|
||||
import GeneExpression from "../geneExpression";
|
||||
import * as globals from "../../globals";
|
||||
import DynamicScatterplot from "../scatterplot/scatterplot";
|
||||
import TopLeftLogoAndTitle from "./topLeftLogoAndTitle";
|
||||
|
||||
@connect(state => ({
|
||||
responsive: state.responsive,
|
||||
scatterplotXXaccessor: state.controls.scatterplotXXaccessor,
|
||||
scatterplotYYaccessor: state.controls.scatterplotYYaccessor
|
||||
}))
|
||||
class LeftSideBar extends React.Component {
|
||||
render() {
|
||||
const {
|
||||
responsive,
|
||||
scatterplotXXaccessor,
|
||||
scatterplotYYaccessor
|
||||
} = this.props;
|
||||
|
||||
/*
|
||||
this magic number should be made less fragile,
|
||||
if cellxgene logo or tabs change, this must as well
|
||||
*/
|
||||
const logoRelatedPadding = 50;
|
||||
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
position: "fixed",
|
||||
backgroundColor: "white",
|
||||
/* x y blur spread color */
|
||||
boxShadow: "-3px 0px 6px 2px rgba(153,153,153,0.4)"
|
||||
}}
|
||||
>
|
||||
<TopLeftLogoAndTitle />
|
||||
<div
|
||||
style={{
|
||||
height: responsive.height - logoRelatedPadding,
|
||||
marginTop: logoRelatedPadding,
|
||||
width: globals.leftSidebarWidth,
|
||||
overflowY: "auto",
|
||||
overflowX: "hidden"
|
||||
}}
|
||||
>
|
||||
<Categorical />
|
||||
<GeneExpression />
|
||||
<Continuous />
|
||||
</div>
|
||||
{scatterplotXXaccessor && scatterplotYYaccessor ? (
|
||||
<DynamicScatterplot />
|
||||
) : null}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default LeftSideBar;
|
||||
@@ -0,0 +1,71 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { connect } from "react-redux";
|
||||
import * as globals from "../../globals";
|
||||
import Logo from "../framework/logo";
|
||||
|
||||
@connect(state => ({
|
||||
responsive: state.responsive,
|
||||
datasetTitle: state.config?.displayNames?.dataset ?? "",
|
||||
scatterplotXXaccessor: state.controls.scatterplotXXaccessor,
|
||||
scatterplotYYaccessor: state.controls.scatterplotYYaccessor
|
||||
}))
|
||||
class LeftSideBar extends React.Component {
|
||||
render() {
|
||||
const { datasetTitle } = this.props;
|
||||
|
||||
const paddingToAvoidScrollBar = 15;
|
||||
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
paddingLeft: 8,
|
||||
paddingTop: 8,
|
||||
width: globals.leftSidebarWidth - paddingToAvoidScrollBar,
|
||||
position: "absolute",
|
||||
backgroundColor: "white",
|
||||
zIndex: 8888
|
||||
/* x y blur spread color */
|
||||
// boxShadow: "-5px -1px 4px 2px rgba(225,225,225,0.4)"
|
||||
}}
|
||||
>
|
||||
<Logo size={30} />
|
||||
<span
|
||||
style={{
|
||||
fontSize: 28,
|
||||
position: "relative",
|
||||
top: -6,
|
||||
fontWeight: "bold",
|
||||
marginLeft: 5,
|
||||
color: globals.logoColor,
|
||||
userSelect: "none"
|
||||
}}
|
||||
>
|
||||
cell<span
|
||||
style={{
|
||||
position: "relative",
|
||||
top: 1,
|
||||
fontWeight: 300,
|
||||
fontSize: 24
|
||||
}}
|
||||
>
|
||||
×
|
||||
</span>gene
|
||||
</span>
|
||||
<span
|
||||
data-testid="header"
|
||||
style={{
|
||||
fontSize: 14,
|
||||
position: "relative",
|
||||
marginLeft: 7,
|
||||
top: -8
|
||||
}}
|
||||
>
|
||||
{datasetTitle}
|
||||
</span>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default LeftSideBar;
|
||||
@@ -0,0 +1,61 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { AnchorButton, Tooltip } from "@blueprintjs/core";
|
||||
import { connect } from "react-redux";
|
||||
import { World } from "../../util/stateManager";
|
||||
|
||||
@connect()
|
||||
class CellSetButton extends React.Component {
|
||||
set() {
|
||||
const {
|
||||
differential,
|
||||
crossfilter,
|
||||
dispatch,
|
||||
eitherCellSetOneOrTwo
|
||||
} = this.props;
|
||||
|
||||
// Reducer and components assume that value will be null if
|
||||
// no selection made. World..getSelectedByIndex() returns a
|
||||
// zero length TypedArray when nothing is selected.
|
||||
let set = World.getSelectedByIndex(crossfilter);
|
||||
if (set.length === 0) set = null;
|
||||
|
||||
if (!differential.diffExp) {
|
||||
/* diffexp needs to be cleared before we store a new set */
|
||||
dispatch({
|
||||
type: `store current cell selection as differential set ${eitherCellSetOneOrTwo}`,
|
||||
data: set
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
render() {
|
||||
const { differential, eitherCellSetOneOrTwo } = this.props;
|
||||
const cellListName = `celllist${eitherCellSetOneOrTwo}`;
|
||||
const cellsSelected = differential[cellListName]
|
||||
? differential[cellListName].length
|
||||
: 0;
|
||||
return (
|
||||
<Tooltip
|
||||
content="Save current selection for differential expression computation"
|
||||
position="top"
|
||||
>
|
||||
<AnchorButton
|
||||
type="button"
|
||||
disabled={differential.diffExp}
|
||||
onClick={this.set.bind(this)}
|
||||
data-testid={`cellset-button-${eitherCellSetOneOrTwo}`}
|
||||
>
|
||||
{eitherCellSetOneOrTwo}
|
||||
{": "}
|
||||
<span data-testid={`cellset-count-${eitherCellSetOneOrTwo}`}>
|
||||
{cellsSelected}
|
||||
</span>
|
||||
{" cells"}
|
||||
</AnchorButton>
|
||||
</Tooltip>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default CellSetButton;
|
||||
@@ -0,0 +1,130 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import {
|
||||
Position,
|
||||
Button,
|
||||
Popover,
|
||||
NumericInput,
|
||||
Icon
|
||||
} from "@blueprintjs/core";
|
||||
|
||||
function Clip(props) {
|
||||
const {
|
||||
pendingClipPercentiles,
|
||||
clipPercentileMin,
|
||||
clipPercentileMax,
|
||||
handleClipOpening,
|
||||
handleClipClosing,
|
||||
handleClipCommit,
|
||||
isClipDisabled,
|
||||
handleClipOnKeyPress,
|
||||
handleClipPercentileMaxValueChange,
|
||||
handleClipPercentileMinValueChange
|
||||
} = props;
|
||||
|
||||
const clipMin =
|
||||
pendingClipPercentiles?.clipPercentileMin ?? clipPercentileMin;
|
||||
const clipMax =
|
||||
pendingClipPercentiles?.clipPercentileMax ?? clipPercentileMax;
|
||||
const activeClipClass =
|
||||
clipPercentileMin > 0 || clipPercentileMax < 100
|
||||
? " bp3-intent-warning"
|
||||
: "";
|
||||
|
||||
return (
|
||||
<div
|
||||
className="bp3-button-group"
|
||||
style={{
|
||||
marginLeft: 10
|
||||
}}
|
||||
>
|
||||
<Popover
|
||||
target={
|
||||
<Button
|
||||
type="button"
|
||||
data-testid="visualization-settings"
|
||||
className={`bp3-button bp3-icon-timeline-bar-chart ${activeClipClass}`}
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
}
|
||||
position={Position.BOTTOM_RIGHT}
|
||||
onOpening={handleClipOpening}
|
||||
onClosing={handleClipClosing}
|
||||
content={
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "flex-start",
|
||||
alignItems: "flex-start",
|
||||
flexDirection: "column",
|
||||
padding: 10
|
||||
}}
|
||||
>
|
||||
<div>Clip all continuous values to percentile range</div>
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "space-between",
|
||||
alignItems: "center",
|
||||
paddingTop: 5,
|
||||
paddingBottom: 5
|
||||
}}
|
||||
>
|
||||
<NumericInput
|
||||
style={{ width: 50 }}
|
||||
data-testid="clip-min-input"
|
||||
onValueChange={handleClipPercentileMinValueChange}
|
||||
onKeyPress={handleClipOnKeyPress}
|
||||
value={clipMin}
|
||||
min={0}
|
||||
max={100}
|
||||
fill={false}
|
||||
minorStepSize={null}
|
||||
rightElement={
|
||||
<div style={{ padding: "4px 2px" }}>
|
||||
<Icon icon="percentage" intent="primary" iconSize={14} />
|
||||
</div>
|
||||
}
|
||||
/>
|
||||
<span style={{ marginRight: 5, marginLeft: 5 }}> - </span>
|
||||
<NumericInput
|
||||
style={{ width: 50 }}
|
||||
data-testid="clip-max-input"
|
||||
onValueChange={handleClipPercentileMaxValueChange}
|
||||
onKeyPress={handleClipOnKeyPress}
|
||||
value={clipMax}
|
||||
min={0}
|
||||
max={100}
|
||||
fill={false}
|
||||
minorStepSize={null}
|
||||
rightElement={
|
||||
<div style={{ padding: "4px 2px" }}>
|
||||
<Icon icon="percentage" intent="primary" iconSize={14} />
|
||||
</div>
|
||||
}
|
||||
/>
|
||||
<Button
|
||||
type="button"
|
||||
data-testid="clip-commit"
|
||||
className="bp3-button"
|
||||
disabled={isClipDisabled()}
|
||||
style={{
|
||||
cursor: "pointer",
|
||||
marginRight: 5,
|
||||
marginLeft: 5
|
||||
}}
|
||||
onClick={handleClipCommit}
|
||||
>
|
||||
Clip
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default Clip;
|
||||
@@ -0,0 +1,464 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { connect } from "react-redux";
|
||||
import {
|
||||
Button,
|
||||
AnchorButton,
|
||||
Tooltip,
|
||||
Popover,
|
||||
Position,
|
||||
RadioGroup,
|
||||
Radio
|
||||
} from "@blueprintjs/core";
|
||||
import { World } from "../../util/stateManager";
|
||||
import actions from "../../actions";
|
||||
import CellSetButton from "./cellSetButtons";
|
||||
import InformationMenu from "./infoMenu";
|
||||
import UndoRedoReset from "./undoRedoReset";
|
||||
import Clip from "./clip";
|
||||
|
||||
@connect(state => ({
|
||||
universe: state.universe,
|
||||
world: state.world,
|
||||
loading: state.controls.loading,
|
||||
crossfilter: state.crossfilter,
|
||||
differential: state.differential,
|
||||
resettingInterface: state.controls.resettingInterface,
|
||||
layoutChoice: state.layoutChoice,
|
||||
graphInteractionMode: state.controls.graphInteractionMode,
|
||||
clipPercentileMin: Math.round(100 * (state.world?.clipQuantiles?.min ?? 0)),
|
||||
clipPercentileMax: Math.round(100 * (state.world?.clipQuantiles?.max ?? 1)),
|
||||
userDefinedGenes: state.controls.userDefinedGenes,
|
||||
diffexpGenes: state.controls.diffexpGenes,
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
scatterplotXXaccessor: state.controls.scatterplotXXaccessor,
|
||||
scatterplotYYaccessor: state.controls.scatterplotYYaccessor,
|
||||
celllist1: state.differential.celllist1,
|
||||
celllist2: state.differential.celllist2,
|
||||
libraryVersions: state.config?.library_versions, // eslint-disable-line camelcase
|
||||
undoDisabled: state["@@undoable/past"].length === 0,
|
||||
redoDisabled: state["@@undoable/future"].length === 0
|
||||
}))
|
||||
class MenuBar extends React.Component {
|
||||
static isValidDigitKeyEvent(e) {
|
||||
/*
|
||||
Return true if this event is necessary to enter a percent number input.
|
||||
Return false if not.
|
||||
|
||||
Returns true for events with keys: backspace, control, alt, meta, [0-9],
|
||||
or events that don't have a key.
|
||||
*/
|
||||
if (e.key === null) return true;
|
||||
if (e.ctrlKey || e.altKey || e.metaKey) return true;
|
||||
|
||||
// concept borrowed from blueprint's numericInputUtils:
|
||||
// keys that print a single character when pressed have a `key` name of
|
||||
// length 1. every other key has a longer `key` name (e.g. "Backspace",
|
||||
// "ArrowUp", "Shift"). since none of those keys can print a character
|
||||
// to the field--and since they may have important native behaviors
|
||||
// beyond printing a character--we don't want to disable their effects.
|
||||
const isSingleCharKey = e.key.length === 1;
|
||||
if (!isSingleCharKey) return true;
|
||||
|
||||
const key = e.key.charCodeAt(0) - 48; /* "0" */
|
||||
return key >= 0 && key <= 9;
|
||||
}
|
||||
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.state = {
|
||||
pendingClipPercentiles: null
|
||||
};
|
||||
}
|
||||
|
||||
isClipDisabled = () => {
|
||||
/*
|
||||
return true if clip button should be disabled.
|
||||
*/
|
||||
const { pendingClipPercentiles } = this.state;
|
||||
const clipPercentileMin = pendingClipPercentiles?.clipPercentileMin;
|
||||
const clipPercentileMax = pendingClipPercentiles?.clipPercentileMax;
|
||||
|
||||
const { world } = this.props;
|
||||
const currentClipMin = 100 * world?.clipQuantiles?.min;
|
||||
const currentClipMax = 100 * world?.clipQuantiles?.max;
|
||||
|
||||
// if you change this test, be careful with logic around
|
||||
// comparisons between undefined / NaN handling.
|
||||
const isDisabled =
|
||||
!(clipPercentileMin < clipPercentileMax) ||
|
||||
(clipPercentileMin === currentClipMin &&
|
||||
clipPercentileMax === currentClipMax);
|
||||
|
||||
return isDisabled;
|
||||
};
|
||||
|
||||
isResetDisabled = () => {
|
||||
/*
|
||||
Reset should be disabled when all of the following are true:
|
||||
* nothing is selected in the crossfilter
|
||||
* world EQ universe
|
||||
* nothing is colored by
|
||||
* there are no userDefinedGenes or diffexpGenes displayed
|
||||
* scatterplot is not displayed
|
||||
* nothing in cellset1 or cellset2
|
||||
* clip percentiles are [0,100]
|
||||
*/
|
||||
const {
|
||||
crossfilter,
|
||||
world,
|
||||
universe,
|
||||
userDefinedGenes,
|
||||
diffexpGenes,
|
||||
colorAccessor,
|
||||
scatterplotXXaccessor,
|
||||
scatterplotYYaccessor,
|
||||
celllist1,
|
||||
celllist2,
|
||||
clipPercentileMin,
|
||||
clipPercentileMax
|
||||
} = this.props;
|
||||
|
||||
if (!crossfilter || !world || !universe) {
|
||||
return false;
|
||||
}
|
||||
const nothingSelected = crossfilter.countSelected() === crossfilter.size();
|
||||
const nothingColoredBy = !colorAccessor;
|
||||
const noGenes = userDefinedGenes.length === 0 && diffexpGenes.length === 0;
|
||||
const scatterNotDpl = !scatterplotXXaccessor || !scatterplotYYaccessor;
|
||||
const nothingInCellsets = !celllist1 && !celllist2;
|
||||
|
||||
return (
|
||||
nothingSelected &&
|
||||
World.worldEqUniverse(world, universe) &&
|
||||
nothingColoredBy &&
|
||||
noGenes &&
|
||||
scatterNotDpl &&
|
||||
nothingInCellsets &&
|
||||
clipPercentileMax === 100 &&
|
||||
clipPercentileMin === 0
|
||||
);
|
||||
};
|
||||
|
||||
resetInterface = () => {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({
|
||||
type: "interface reset started"
|
||||
});
|
||||
dispatch(actions.resetInterface());
|
||||
};
|
||||
|
||||
handleClipOnKeyPress = e => {
|
||||
/*
|
||||
allow only numbers, plus other critical keys which
|
||||
may be required to make a number
|
||||
*/
|
||||
if (!MenuBar.isValidDigitKeyEvent(e)) {
|
||||
e.preventDefault();
|
||||
}
|
||||
};
|
||||
|
||||
handleClipPercentileMinValueChange = v => {
|
||||
/*
|
||||
Ignore anything that isn't a legit number
|
||||
*/
|
||||
if (!Number.isFinite(v)) return;
|
||||
|
||||
const { pendingClipPercentiles } = this.state;
|
||||
const clipPercentileMax = pendingClipPercentiles?.clipPercentileMax;
|
||||
|
||||
/*
|
||||
clamp to [0, currentClipPercentileMax]
|
||||
*/
|
||||
if (v <= 0) v = 0;
|
||||
if (v > 100) v = 100;
|
||||
const clipPercentileMin = Math.round(v); // paranoia
|
||||
this.setState({
|
||||
pendingClipPercentiles: { clipPercentileMin, clipPercentileMax }
|
||||
});
|
||||
};
|
||||
|
||||
handleClipPercentileMaxValueChange = v => {
|
||||
/*
|
||||
Ignore anything that isn't a legit number
|
||||
*/
|
||||
if (!Number.isFinite(v)) return;
|
||||
|
||||
const { pendingClipPercentiles } = this.state;
|
||||
const clipPercentileMin = pendingClipPercentiles?.clipPercentileMin;
|
||||
|
||||
/*
|
||||
clamp to [0, 100]
|
||||
*/
|
||||
if (v < 0) v = 0;
|
||||
if (v > 100) v = 100;
|
||||
const clipPercentileMax = Math.round(v); // paranoia
|
||||
|
||||
this.setState({
|
||||
pendingClipPercentiles: { clipPercentileMin, clipPercentileMax }
|
||||
});
|
||||
};
|
||||
|
||||
handleClipCommit = () => {
|
||||
const { dispatch } = this.props;
|
||||
const { pendingClipPercentiles } = this.state;
|
||||
const { clipPercentileMin, clipPercentileMax } = pendingClipPercentiles;
|
||||
const min = clipPercentileMin / 100;
|
||||
const max = clipPercentileMax / 100;
|
||||
dispatch({
|
||||
type: "set clip quantiles",
|
||||
clipQuantiles: { min, max }
|
||||
});
|
||||
};
|
||||
|
||||
handleClipOpening = () => {
|
||||
const { clipPercentileMin, clipPercentileMax } = this.props;
|
||||
this.setState({
|
||||
pendingClipPercentiles: { clipPercentileMin, clipPercentileMax }
|
||||
});
|
||||
};
|
||||
|
||||
handleClipClosing = () => {
|
||||
this.setState({ pendingClipPercentiles: null });
|
||||
};
|
||||
|
||||
handleLayoutChoiceChange = e => {
|
||||
const { dispatch } = this.props;
|
||||
dispatch({
|
||||
type: "set layout choice",
|
||||
layoutChoice: e.currentTarget.value
|
||||
});
|
||||
};
|
||||
|
||||
computeDiffExp = () => {
|
||||
const { dispatch, differential } = this.props;
|
||||
if (differential.celllist1 && differential.celllist2) {
|
||||
dispatch(
|
||||
actions.requestDifferentialExpression(
|
||||
differential.celllist1,
|
||||
differential.celllist2
|
||||
)
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
clearDifferentialExpression = () => {
|
||||
const { dispatch, differential } = this.props;
|
||||
dispatch({
|
||||
type: "clear differential expression",
|
||||
diffExp: differential.diffExp
|
||||
});
|
||||
dispatch({
|
||||
type: "clear scatterplot"
|
||||
});
|
||||
};
|
||||
|
||||
render() {
|
||||
const {
|
||||
dispatch,
|
||||
differential,
|
||||
crossfilter,
|
||||
resettingInterface,
|
||||
libraryVersions,
|
||||
undoDisabled,
|
||||
redoDisabled,
|
||||
selectionTool,
|
||||
clipPercentileMin,
|
||||
clipPercentileMax,
|
||||
layoutChoice,
|
||||
graphInteractionMode
|
||||
} = this.props;
|
||||
const { pendingClipPercentiles } = this.state;
|
||||
|
||||
const haveBothCellSets =
|
||||
!!differential.celllist1 && !!differential.celllist2;
|
||||
|
||||
// constants used to create selection tool button
|
||||
let selectionTooltip;
|
||||
let selectionButtonClass;
|
||||
if (selectionTool === "brush") {
|
||||
selectionTooltip = "Brush selection";
|
||||
selectionButtonClass = "bp3-icon-select";
|
||||
} else {
|
||||
selectionTooltip = "Lasso selection";
|
||||
selectionButtonClass = "bp3-icon-polygon-filter";
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
position: "fixed",
|
||||
right: 8,
|
||||
top: 8
|
||||
}}
|
||||
>
|
||||
<div className="bp3-button-group" style={{ marginRight: 10 }}>
|
||||
<CellSetButton {...this.props} eitherCellSetOneOrTwo={1} />
|
||||
<CellSetButton {...this.props} eitherCellSetOneOrTwo={2} />
|
||||
{!differential.diffExp ? (
|
||||
<Tooltip
|
||||
content="Add two cells selections, see the top 15 differentially expressed genes between them"
|
||||
position="bottom"
|
||||
>
|
||||
<AnchorButton
|
||||
disabled={!haveBothCellSets}
|
||||
intent="primary"
|
||||
data-testid="diffexp-button"
|
||||
loading={differential.loading}
|
||||
icon="left-join"
|
||||
fill
|
||||
type="button"
|
||||
onClick={this.computeDiffExp}
|
||||
>
|
||||
Compute Differential Expression
|
||||
</AnchorButton>
|
||||
</Tooltip>
|
||||
) : null}
|
||||
|
||||
{differential.diffExp ? (
|
||||
<Tooltip
|
||||
content="Remove differentially expressed gene list and clear cell selections"
|
||||
position="bottom"
|
||||
>
|
||||
<Button
|
||||
type="button"
|
||||
fill
|
||||
intent="warning"
|
||||
onClick={this.clearDifferentialExpression}
|
||||
>
|
||||
Clear Differential Expression
|
||||
</Button>
|
||||
</Tooltip>
|
||||
) : null}
|
||||
</div>
|
||||
<Tooltip
|
||||
content="Show only metadata and cells which are currently selected"
|
||||
position="left"
|
||||
>
|
||||
<AnchorButton
|
||||
type="button"
|
||||
data-testid="subset-button"
|
||||
disabled={
|
||||
crossfilter &&
|
||||
(crossfilter.countSelected() === 0 ||
|
||||
crossfilter.countSelected() === crossfilter.size())
|
||||
}
|
||||
style={{
|
||||
marginRight: 10
|
||||
}}
|
||||
onClick={() => {
|
||||
dispatch(actions.regraph());
|
||||
dispatch({ type: "increment graph render counter" });
|
||||
}}
|
||||
>
|
||||
subset to current selection
|
||||
</AnchorButton>
|
||||
</Tooltip>
|
||||
<div className="bp3-button-group">
|
||||
<Tooltip content={selectionTooltip} position="left">
|
||||
<Button
|
||||
type="button"
|
||||
data-testid="mode-lasso"
|
||||
className={`bp3-button ${selectionButtonClass}`}
|
||||
active={graphInteractionMode === "select"}
|
||||
onClick={() => {
|
||||
dispatch({
|
||||
type: "change graph interaction mode",
|
||||
data: "select"
|
||||
});
|
||||
}}
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
</Tooltip>
|
||||
<Tooltip content="Pan and zoom" position="left">
|
||||
<Button
|
||||
type="button"
|
||||
data-testid="mode-pan-zoom"
|
||||
className="bp3-button bp3-icon-zoom-in"
|
||||
active={graphInteractionMode === "zoom"}
|
||||
onClick={() => {
|
||||
dispatch({
|
||||
type: "change graph interaction mode",
|
||||
data: "zoom"
|
||||
});
|
||||
}}
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
</Tooltip>
|
||||
</div>
|
||||
<div
|
||||
className="bp3-button-group"
|
||||
style={{
|
||||
marginLeft: 10
|
||||
}}
|
||||
>
|
||||
<Popover
|
||||
target={
|
||||
<Button
|
||||
type="button"
|
||||
data-testid="layout-choice"
|
||||
className="bp3-button bp3-icon-heatmap"
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
}
|
||||
position={Position.BOTTOM_RIGHT}
|
||||
content={
|
||||
<div
|
||||
style={{
|
||||
display: "flex",
|
||||
justifyContent: "flex-start",
|
||||
alignItems: "flex-start",
|
||||
flexDirection: "column",
|
||||
padding: 10
|
||||
}}
|
||||
>
|
||||
<RadioGroup
|
||||
label="Layout Choice"
|
||||
onChange={this.handleLayoutChoiceChange}
|
||||
selectedValue={layoutChoice.current}
|
||||
>
|
||||
{layoutChoice.available.map(name => (
|
||||
<Radio label={name} value={name} key={name} />
|
||||
))}
|
||||
</RadioGroup>
|
||||
</div>
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
<Clip
|
||||
pendingClipPercentiles={pendingClipPercentiles}
|
||||
clipPercentileMin={clipPercentileMin}
|
||||
clipPercentileMax={clipPercentileMax}
|
||||
handleClipOpening={this.handleClipOpening}
|
||||
handleClipClosing={this.handleClipClosing}
|
||||
handleClipCommit={this.handleClipCommit}
|
||||
isClipDisabled={this.isClipDisabled}
|
||||
handleClipOnKeyPress={this.handleClipOnKeyPress}
|
||||
handleClipPercentileMaxValueChange={
|
||||
this.handleClipPercentileMaxValueChange
|
||||
}
|
||||
handleClipPercentileMinValueChange={
|
||||
this.handleClipPercentileMinValueChange
|
||||
}
|
||||
/>
|
||||
<UndoRedoReset
|
||||
dispatch={dispatch}
|
||||
isResetDisabled={this.isResetDisabled}
|
||||
resetInterface={this.resetInterface}
|
||||
resettingInterface={resettingInterface}
|
||||
undoDisabled={undoDisabled}
|
||||
redoDisabled={redoDisabled}
|
||||
/>
|
||||
<InformationMenu libraryVersions={libraryVersions} />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default MenuBar;
|
||||
@@ -0,0 +1,61 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { Button, Popover, Menu, MenuItem, Position } from "@blueprintjs/core";
|
||||
|
||||
function InformationMenu(props) {
|
||||
const { libraryVersions } = props;
|
||||
return (
|
||||
<div style={{ marginLeft: 10 }} className="bp3-button-group">
|
||||
<Popover
|
||||
content={
|
||||
<Menu>
|
||||
<MenuItem
|
||||
href="https://chanzuckerberg.github.io/cellxgene/faq.html"
|
||||
target="_blank"
|
||||
icon="help"
|
||||
text="FAQ"
|
||||
/>
|
||||
<MenuItem
|
||||
href="https://join-cellxgene-users.herokuapp.com/"
|
||||
target="_blank"
|
||||
icon="chat"
|
||||
text="Chat"
|
||||
/>
|
||||
<MenuItem
|
||||
href="https://chanzuckerberg.github.io/cellxgene/"
|
||||
target="_blank"
|
||||
icon="book"
|
||||
text="Docs"
|
||||
/>
|
||||
<MenuItem
|
||||
href="https://github.com/chanzuckerberg/cellxgene"
|
||||
target="_blank"
|
||||
icon="git-branch"
|
||||
text="Github"
|
||||
/>
|
||||
<MenuItem
|
||||
target="_blank"
|
||||
text={`cellxgene v${
|
||||
libraryVersions && libraryVersions.cellxgene
|
||||
? libraryVersions.cellxgene
|
||||
: null
|
||||
}`}
|
||||
/>
|
||||
<MenuItem text="MIT License" />
|
||||
</Menu>
|
||||
}
|
||||
position={Position.BOTTOM_RIGHT}
|
||||
>
|
||||
<Button
|
||||
type="button"
|
||||
className="bp3-button bp3-icon-info-sign"
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
</Popover>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default InformationMenu;
|
||||
@@ -0,0 +1,64 @@
|
||||
// jshint esversion: 6
|
||||
import React from "react";
|
||||
import { AnchorButton, Tooltip } from "@blueprintjs/core";
|
||||
|
||||
function InformationMenu(props) {
|
||||
const {
|
||||
resettingInterface,
|
||||
undoDisabled,
|
||||
redoDisabled,
|
||||
resetInterface,
|
||||
isResetDisabled,
|
||||
dispatch
|
||||
} = props;
|
||||
return (
|
||||
<div style={{ marginLeft: 10 }} className="bp3-button-group">
|
||||
<Tooltip content="Undo" position="left">
|
||||
<AnchorButton
|
||||
type="button"
|
||||
className="bp3-button bp3-icon-undo"
|
||||
disabled={undoDisabled}
|
||||
onClick={() => {
|
||||
dispatch({ type: "@@undoable/undo" });
|
||||
}}
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
</Tooltip>
|
||||
<Tooltip content="Redo" position="left">
|
||||
<AnchorButton
|
||||
type="button"
|
||||
className="bp3-button bp3-icon-redo"
|
||||
disabled={redoDisabled}
|
||||
onClick={() => {
|
||||
dispatch({ type: "@@undoable/redo" });
|
||||
}}
|
||||
style={{
|
||||
cursor: "pointer"
|
||||
}}
|
||||
/>
|
||||
</Tooltip>
|
||||
<Tooltip
|
||||
content="Reset cellxgene, clearing all selections"
|
||||
position="left"
|
||||
>
|
||||
<AnchorButton
|
||||
disabled={isResetDisabled()}
|
||||
style={{ marginLeft: 10 }}
|
||||
type="button"
|
||||
loading={resettingInterface}
|
||||
intent="none"
|
||||
icon="refresh"
|
||||
onClick={resetInterface}
|
||||
data-testid="reset"
|
||||
data-testclass={`resetting-${resettingInterface}`}
|
||||
>
|
||||
reset
|
||||
</AnchorButton>
|
||||
</Tooltip>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default InformationMenu;
|
||||
+1
-9
@@ -38,15 +38,7 @@ export default function(regl) {
|
||||
uniforms: {
|
||||
distance: regl.prop("distance"),
|
||||
view: regl.prop("view"),
|
||||
projection: (context, props) => {
|
||||
return mat4.perspective(
|
||||
[],
|
||||
Math.PI / 2,
|
||||
context.viewportWidth * props.scale / context.viewportHeight,
|
||||
0.01,
|
||||
1000
|
||||
);
|
||||
}
|
||||
projection: () => mat4.perspective([], Math.PI / 2, 1, 0.01, 1000)
|
||||
},
|
||||
|
||||
count: regl.prop("count"),
|
||||
+4
-5
@@ -1,15 +1,14 @@
|
||||
|
||||
.scatterplot {
|
||||
:local(.scatterplot) {
|
||||
display: block;
|
||||
}
|
||||
|
||||
.scatterplot svg,
|
||||
.scatterplot canvas {
|
||||
:local(.scatterplot) svg,
|
||||
:local(.scatterplot) canvas {
|
||||
font: 10px sans-serif;
|
||||
position: absolute;
|
||||
}
|
||||
|
||||
.scatterplot canvas {
|
||||
:local(.scatterplot) canvas {
|
||||
opacity: 0.9;
|
||||
pointer-events: none;
|
||||
}
|
||||
@@ -0,0 +1,383 @@
|
||||
// jshint esversion: 6
|
||||
// https://bl.ocks.org/Jverma/076377dd0125b1a508621441752735fc
|
||||
// https://peterbeshai.com/scatterplot-in-d3-with-voronoi-interaction.html
|
||||
|
||||
import React from "react";
|
||||
import { connect } from "react-redux";
|
||||
import { Button, ButtonGroup } from "@blueprintjs/core";
|
||||
import _regl from "regl";
|
||||
import * as d3 from "d3";
|
||||
import * as globals from "../../globals";
|
||||
|
||||
import _camera from "../../util/camera";
|
||||
|
||||
import setupScatterplot from "./setupScatterplot";
|
||||
import styles from "./scatterplot.css";
|
||||
|
||||
import _drawPoints from "./drawPointsRegl";
|
||||
import scaleLinear from "../../util/scaleLinear";
|
||||
|
||||
import { margin, width, height } from "./util";
|
||||
import finiteExtent from "../../util/finiteExtent";
|
||||
|
||||
@connect(state => {
|
||||
const { world, crossfilter } = state;
|
||||
const { scatterplotXXaccessor, scatterplotYYaccessor } = state.controls;
|
||||
const expressionX =
|
||||
world &&
|
||||
scatterplotXXaccessor &&
|
||||
world.varData.hasCol(scatterplotXXaccessor)
|
||||
? world.varData.col(scatterplotXXaccessor).asArray()
|
||||
: null;
|
||||
const expressionY =
|
||||
world &&
|
||||
scatterplotYYaccessor &&
|
||||
world.varData.hasCol(scatterplotYYaccessor)
|
||||
? world.varData.col(scatterplotYYaccessor).asArray()
|
||||
: null;
|
||||
|
||||
return {
|
||||
world,
|
||||
|
||||
colorRGB: state.colors.rgb,
|
||||
colorScale: state.colors.scale,
|
||||
colorAccessor: state.colors.colorAccessor,
|
||||
|
||||
// Accessors are var/gene names (strings)
|
||||
scatterplotXXaccessor,
|
||||
scatterplotYYaccessor,
|
||||
opacityForDeselectedCells: state.controls.opacityForDeselectedCells,
|
||||
|
||||
differential: state.differential,
|
||||
|
||||
expressionX,
|
||||
expressionY,
|
||||
|
||||
crossfilter
|
||||
};
|
||||
})
|
||||
class Scatterplot extends React.Component {
|
||||
constructor(props) {
|
||||
super(props);
|
||||
this.count = 0;
|
||||
this.axes = false;
|
||||
this.renderCache = {
|
||||
positions: null,
|
||||
colors: null,
|
||||
sizes: null,
|
||||
xScale: null,
|
||||
yScale: null
|
||||
};
|
||||
this.state = {
|
||||
svg: null,
|
||||
minimized: null
|
||||
};
|
||||
}
|
||||
|
||||
componentDidMount() {
|
||||
const { svg } = setupScatterplot(width, height, margin);
|
||||
let scales;
|
||||
const { expressionX, expressionY } = this.props;
|
||||
|
||||
if (svg && expressionX && expressionY) {
|
||||
scales = Scatterplot.setupScales(expressionX, expressionY);
|
||||
this.drawAxesSVG(scales.xScale, scales.yScale, svg);
|
||||
this.renderCache = { ...this.renderCache, ...scales };
|
||||
}
|
||||
|
||||
const camera = _camera(this.reglCanvas, { scale: true, rotate: false });
|
||||
const regl = _regl(this.reglCanvas);
|
||||
|
||||
const drawPoints = _drawPoints(regl);
|
||||
|
||||
// preallocate buffers
|
||||
const pointBuffer = regl.buffer();
|
||||
const colorBuffer = regl.buffer();
|
||||
const sizeBuffer = regl.buffer();
|
||||
|
||||
const reglRender = regl.frame(() => {
|
||||
this.reglDraw(
|
||||
regl,
|
||||
drawPoints,
|
||||
sizeBuffer,
|
||||
colorBuffer,
|
||||
pointBuffer,
|
||||
camera
|
||||
);
|
||||
camera.tick();
|
||||
});
|
||||
|
||||
this.reglRenderState = "rendering";
|
||||
|
||||
this.setState({
|
||||
regl,
|
||||
sizeBuffer,
|
||||
pointBuffer,
|
||||
colorBuffer,
|
||||
svg,
|
||||
reglRender,
|
||||
camera,
|
||||
drawPoints
|
||||
});
|
||||
}
|
||||
|
||||
componentDidUpdate(prevProps) {
|
||||
const {
|
||||
world,
|
||||
crossfilter,
|
||||
scatterplotXXaccessor,
|
||||
scatterplotYYaccessor,
|
||||
expressionX,
|
||||
expressionY,
|
||||
colorRGB
|
||||
} = this.props;
|
||||
const {
|
||||
reglRender,
|
||||
regl,
|
||||
pointBuffer,
|
||||
colorBuffer,
|
||||
sizeBuffer,
|
||||
svg,
|
||||
drawPoints,
|
||||
camera
|
||||
} = this.state;
|
||||
|
||||
if (
|
||||
scatterplotXXaccessor !== prevProps.scatterplotXXaccessor || // was CLU now FTH1 etc
|
||||
scatterplotYYaccessor !== prevProps.scatterplotYYaccessor || // was CLU now FTH1 etc
|
||||
world !== prevProps.world // shape or clip of world changed
|
||||
) {
|
||||
const scales = Scatterplot.setupScales(expressionX, expressionY);
|
||||
this.drawAxesSVG(scales.xScale, scales.yScale, svg);
|
||||
this.renderCache = { ...this.renderCache, ...scales };
|
||||
}
|
||||
|
||||
if (reglRender && this.reglRenderState === "rendering") {
|
||||
reglRender.cancel();
|
||||
this.reglRenderState = "paused";
|
||||
}
|
||||
|
||||
if (
|
||||
world &&
|
||||
regl &&
|
||||
pointBuffer &&
|
||||
colorBuffer &&
|
||||
sizeBuffer &&
|
||||
expressionX &&
|
||||
expressionY &&
|
||||
scatterplotXXaccessor &&
|
||||
scatterplotYYaccessor
|
||||
) {
|
||||
const { renderCache } = this;
|
||||
const { xScale, yScale } = this.renderCache;
|
||||
const cellCount = expressionX.length;
|
||||
|
||||
// Points change when expressionX or expressionY change.
|
||||
if (
|
||||
!renderCache.positions ||
|
||||
expressionX !== prevProps.expressionX ||
|
||||
expressionY !== prevProps.expressionY
|
||||
) {
|
||||
if (!renderCache.positions) {
|
||||
renderCache.positions = new Float32Array(2 * cellCount);
|
||||
}
|
||||
const glScaleX = scaleLinear([0, width], [-0.95, 0.95]);
|
||||
const glScaleY = scaleLinear([0, height], [-1, 1]);
|
||||
for (let i = 0, { positions } = renderCache; i < cellCount; i += 1) {
|
||||
positions[2 * i] = glScaleX(xScale(expressionX[i]));
|
||||
positions[2 * i + 1] = glScaleY(yScale(expressionY[i]));
|
||||
}
|
||||
pointBuffer({ data: renderCache.positions, dimension: 2 });
|
||||
}
|
||||
|
||||
// Colors for each point - change only when props.colorsRGB change.
|
||||
if (!renderCache.colors || colorRGB !== prevProps.colorRGB) {
|
||||
if (!renderCache.colors) {
|
||||
renderCache.colors = new Float32Array(3 * cellCount);
|
||||
}
|
||||
for (let i = 0, { colors } = renderCache; i < cellCount; i += 1) {
|
||||
colors.set(colorRGB[i], 3 * i);
|
||||
}
|
||||
colorBuffer({ data: renderCache.colors, dimension: 3 });
|
||||
}
|
||||
|
||||
// Sizes for each point - updates are triggered only when selected
|
||||
// obs change
|
||||
if (!renderCache.sizes || crossfilter !== prevProps.crossfilter) {
|
||||
if (!renderCache.sizes) {
|
||||
renderCache.sizes = new Float32Array(cellCount);
|
||||
}
|
||||
crossfilter.fillByIsSelected(renderCache.sizes, 4, 0.2);
|
||||
sizeBuffer({ data: renderCache.sizes, dimension: 1 });
|
||||
}
|
||||
|
||||
this.count = cellCount;
|
||||
|
||||
regl._refresh();
|
||||
this.reglDraw(
|
||||
regl,
|
||||
drawPoints,
|
||||
sizeBuffer,
|
||||
colorBuffer,
|
||||
pointBuffer,
|
||||
camera
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
static setupScales(expressionX, expressionY) {
|
||||
const xScale = d3
|
||||
.scaleLinear()
|
||||
.domain(finiteExtent(expressionX))
|
||||
.range([0, width]);
|
||||
const yScale = d3
|
||||
.scaleLinear()
|
||||
.domain(finiteExtent(expressionY))
|
||||
.range([height, 0]);
|
||||
|
||||
return {
|
||||
xScale,
|
||||
yScale
|
||||
};
|
||||
}
|
||||
|
||||
reglDraw(regl, drawPoints, sizeBuffer, colorBuffer, pointBuffer, camera) {
|
||||
regl.clear({
|
||||
depth: 1,
|
||||
color: [1, 1, 1, 1]
|
||||
});
|
||||
|
||||
drawPoints({
|
||||
size: sizeBuffer,
|
||||
distance: camera.distance,
|
||||
color: colorBuffer,
|
||||
position: pointBuffer,
|
||||
count: this.count,
|
||||
view: camera.view()
|
||||
});
|
||||
}
|
||||
|
||||
drawAxesSVG(xScale, yScale, svg) {
|
||||
const { scatterplotYYaccessor, scatterplotXXaccessor } = this.props;
|
||||
svg.selectAll("*").remove();
|
||||
|
||||
// the axes are much cleaner and easier now. No need to rotate and orient
|
||||
// the axis, just call axisBottom, axisLeft etc.
|
||||
const xAxis = d3
|
||||
.axisBottom()
|
||||
.ticks(7)
|
||||
.scale(xScale);
|
||||
|
||||
const yAxis = d3
|
||||
.axisLeft()
|
||||
.ticks(7)
|
||||
.scale(yScale);
|
||||
|
||||
// adding axes is also simpler now, just translate x-axis to (0,height)
|
||||
// and it's alread defined to be a bottom axis.
|
||||
svg
|
||||
.append("g")
|
||||
.attr("transform", `translate(0,${height})`)
|
||||
.attr("class", "x axis")
|
||||
.call(xAxis);
|
||||
|
||||
// y-axis is translated to (0,0)
|
||||
svg
|
||||
.append("g")
|
||||
.attr("transform", "translate(0,0)")
|
||||
.attr("class", "y axis")
|
||||
.call(yAxis);
|
||||
|
||||
// adding label. For x-axis, it's at (10, 10), and for y-axis at (width, height-10).
|
||||
svg
|
||||
.append("text")
|
||||
.attr("x", 10)
|
||||
.attr("y", 10)
|
||||
.attr("class", "label")
|
||||
.style("font-style", "italic")
|
||||
.text(scatterplotYYaccessor);
|
||||
|
||||
svg
|
||||
.append("text")
|
||||
.attr("x", width)
|
||||
.attr("y", height - 10)
|
||||
.attr("text-anchor", "end")
|
||||
.attr("class", "label")
|
||||
.style("font-style", "italic")
|
||||
.text(scatterplotXXaccessor);
|
||||
}
|
||||
|
||||
render() {
|
||||
const { dispatch } = this.props;
|
||||
const { minimized } = this.state;
|
||||
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
position: "fixed",
|
||||
bottom: minimized ? -height + -margin.top : 0,
|
||||
borderRadius: "3px 3px 0px 0px",
|
||||
left: globals.leftSidebarWidth + globals.scatterplotMarginLeft,
|
||||
padding: "0px 20px 20px 0px",
|
||||
backgroundColor: "white",
|
||||
/* x y blur spread color */
|
||||
boxShadow: "0px 0px 6px 2px rgba(153,153,153,0.4)"
|
||||
}}
|
||||
id="scatterplot_wrapper"
|
||||
>
|
||||
<ButtonGroup
|
||||
style={{
|
||||
position: "absolute",
|
||||
right: 5,
|
||||
top: 5
|
||||
}}
|
||||
>
|
||||
<Button
|
||||
type="button"
|
||||
minimal
|
||||
onClick={() => {
|
||||
this.setState({ minimized: !minimized });
|
||||
}}
|
||||
>
|
||||
{minimized ? "show scatterplot" : "hide"}
|
||||
</Button>
|
||||
<Button
|
||||
type="button"
|
||||
minimal
|
||||
data-testid="clear-scatterplot"
|
||||
onClick={() =>
|
||||
dispatch({
|
||||
type: "clear scatterplot"
|
||||
})
|
||||
}
|
||||
>
|
||||
remove
|
||||
</Button>
|
||||
</ButtonGroup>
|
||||
<div
|
||||
className={styles.scatterplot}
|
||||
id="scatterplot"
|
||||
style={{
|
||||
width: `${width + margin.left + margin.right}px`,
|
||||
height: `${height + margin.top + margin.bottom}px`
|
||||
}}
|
||||
>
|
||||
<canvas
|
||||
width={width}
|
||||
height={height}
|
||||
data-testid="scatterplot"
|
||||
style={{
|
||||
marginLeft: margin.left - 7,
|
||||
marginTop: margin.top
|
||||
}}
|
||||
ref={canvas => {
|
||||
this.reglCanvas = canvas;
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export default Scatterplot;
|
||||
+7
-4
@@ -5,15 +5,18 @@
|
||||
******************************************
|
||||
******************************************/
|
||||
|
||||
const setupScatterplot = (width, height, margin) => {
|
||||
var container = d3.select("#scatterplot");
|
||||
import * as d3 from "d3";
|
||||
|
||||
var svg = container
|
||||
const setupScatterplot = (width, height, margin) => {
|
||||
const container = d3.select("#scatterplot");
|
||||
|
||||
const svg = container
|
||||
.append("svg")
|
||||
.attr("width", width + margin.left + margin.right)
|
||||
.attr("height", height + margin.top + margin.bottom)
|
||||
.attr("data-testid", "scatterplot-svg")
|
||||
.append("g")
|
||||
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
|
||||
.attr("transform", `translate(${margin.left},${margin.top})`);
|
||||
|
||||
return {
|
||||
svg
|
||||
@@ -1,10 +1,5 @@
|
||||
// jshint esversion: 6
|
||||
import _ from "lodash";
|
||||
|
||||
const paddingRight = 120;
|
||||
const continuousChartWidth = 340;
|
||||
|
||||
export const margin = { top: 66, right: 110, bottom: 20, left: 60 };
|
||||
export const margin = { top: 40, right: 5, bottom: 20, left: 60 };
|
||||
export const width = 340;
|
||||
export const height = 340 - margin.top - margin.bottom;
|
||||
export const innerHeight = height - 2;
|
||||
@@ -0,0 +1,75 @@
|
||||
import { Colors } from "@blueprintjs/core";
|
||||
|
||||
/* if a categorical metadata field has more options than this, truncate */
|
||||
export const maxCategoricalOptionsToDisplay = 100;
|
||||
|
||||
/*
|
||||
these are default values for configuration the CLI may supply.
|
||||
See the REST API and CLI specs for more info.
|
||||
*/
|
||||
export const configDefaults = {
|
||||
features: {},
|
||||
displayNames: {},
|
||||
parameters: {
|
||||
"max-category-items": 1000
|
||||
}
|
||||
};
|
||||
|
||||
/* colors */
|
||||
export const blue = Colors.BLUE3;
|
||||
export const linkBlue = Colors.BLUE5;
|
||||
export const lightestGrey = "rgb(249,249,249)";
|
||||
export const lighterGrey = "rgb(245,245,245)";
|
||||
export const lightGrey = "rgb(211,211,211)";
|
||||
export const mediumGrey = "rgb(153,153,153)";
|
||||
export const darkGrey = "rgb(102,102,102)";
|
||||
export const darkerGrey = "rgb(51,51,51)";
|
||||
|
||||
export const brightBlue = "#4a90e2";
|
||||
export const brightGreen = "#A2D729";
|
||||
export const darkGreen = "#448C4D";
|
||||
|
||||
export const nonFiniteCellColor = lightGrey;
|
||||
export const defaultCellColor = "rgb(0,0,0,1)";
|
||||
export const logoColor = "black"; /* logo pink: "#E9429A" */
|
||||
|
||||
/* typography constants */
|
||||
|
||||
export const tiniestFontSize = 12;
|
||||
export const largestFontSize = 24;
|
||||
export const uppercaseLetterSpacing = "0.04em";
|
||||
export const bolder = 700;
|
||||
export const accentFont = "Georgia,Times,Times New Roman,serif";
|
||||
export const maxParagraphWidth = 600;
|
||||
|
||||
/* layout styles constants */
|
||||
|
||||
export const cellxgeneTitleLeftPadding = 14;
|
||||
export const cellxgeneTitleTopPadding = 7;
|
||||
|
||||
export const maxControlsWidth = 800;
|
||||
|
||||
export const graphMargin = { top: 20, right: 10, bottom: 30, left: 40 };
|
||||
export const graphWidth = 700;
|
||||
export const graphHeight = 700;
|
||||
export const scatterplotMarginLeft = 25;
|
||||
|
||||
export const leftSidebarWidth = 365;
|
||||
export const leftSidebarSectionHeading = {
|
||||
fontSize: 18,
|
||||
textTransform: "uppercase",
|
||||
fontWeight: 500,
|
||||
letterSpacing: ".05em"
|
||||
};
|
||||
export const leftSidebarSectionPadding = 10;
|
||||
|
||||
let _API = {
|
||||
// prefix: "http://api.clustering.czi.technology/api/",
|
||||
// prefix: "http://tabulamuris.cxg.czi.technology/api/",
|
||||
// prefix: "http://api-staging.clustering.czi.technology/api/",
|
||||
prefix: "http://localhost:5005/api/",
|
||||
version: "v0.2/"
|
||||
};
|
||||
|
||||
if (window.CELLXGENE && window.CELLXGENE.API) _API = window.CELLXGENE.API;
|
||||
export const API = _API;
|
||||
@@ -0,0 +1,9 @@
|
||||
/*
|
||||
>>>GLOBAL<<< CSS imports & definitions
|
||||
|
||||
Do NOT put anything in this file that is not global. We do not perform
|
||||
namespace mangling on these definitions. See webpack config for specifics.
|
||||
*/
|
||||
@import "~@blueprintjs/core/lib/css/blueprint.css";
|
||||
@import "~@blueprintjs/icons/lib/css/blueprint-icons.css";
|
||||
@import "~@blueprintjs/select/lib/css/blueprint-select.css";
|
||||
@@ -0,0 +1,21 @@
|
||||
// jshint esversion: 6
|
||||
/* eslint-disable no-console */
|
||||
import React from "react";
|
||||
import ReactDOM from "react-dom";
|
||||
import { Provider } from "react-redux";
|
||||
import { FocusStyleManager } from "@blueprintjs/core";
|
||||
|
||||
import "./index.css";
|
||||
|
||||
/* our code */
|
||||
import App from "./components/app";
|
||||
import store from "./reducers";
|
||||
|
||||
FocusStyleManager.onlyShowFocusOnTabs();
|
||||
|
||||
ReactDOM.render(
|
||||
<Provider store={store}>
|
||||
<App />
|
||||
</Provider>,
|
||||
document.getElementById("root")
|
||||
);
|
||||
@@ -0,0 +1,44 @@
|
||||
export default function cascadeReducers(arg) {
|
||||
/*
|
||||
Combined a set of cascading reducers into a single reducer. Cascading
|
||||
reducers are reducers which may rely on state computed by another reducer.
|
||||
Therefore, they:
|
||||
- must be composed in a particular order (currently, this is a simple
|
||||
linear list of reducers, run in list order)
|
||||
- must have access to partially updated "next state" so they can further
|
||||
derive state.
|
||||
|
||||
Parameter is one of:
|
||||
- a Map object
|
||||
- an array of tuples, [ [key1, reducer1], [key2, reducer2], ... ]
|
||||
Ie, cascadeReducers([ ["a", reduceA], ["b", reduceB] ])
|
||||
|
||||
Each reducer will be called with the sigature:
|
||||
(prevState, action, sharedNextState, sharedPrevState) => newState
|
||||
|
||||
cascadeReducers will build a composite newState object, much
|
||||
like combinedReducers. Additional semantics:
|
||||
- reducers guaranteed to be called in order
|
||||
- each reducer will receive shared objects
|
||||
*/
|
||||
const reducers = arg instanceof Map ? arg : new Map(arg);
|
||||
const reducerKeys = [...reducers.keys()];
|
||||
return (prevState, action) => {
|
||||
const nextState = {};
|
||||
let stateChange = false;
|
||||
for (let i = 0, l = reducerKeys.length; i < l; i += 1) {
|
||||
const key = reducerKeys[i];
|
||||
const reducer = reducers.get(key);
|
||||
const prevStateForKey = prevState ? prevState[key] : undefined;
|
||||
const nextStateForKey = reducer(
|
||||
prevStateForKey,
|
||||
action,
|
||||
nextState,
|
||||
prevState
|
||||
);
|
||||
nextState[key] = nextStateForKey;
|
||||
stateChange = stateChange || nextStateForKey !== prevStateForKey;
|
||||
}
|
||||
return stateChange ? nextState : prevState;
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,105 @@
|
||||
import { ControlsHelpers } from "../util/stateManager";
|
||||
import * as globals from "../globals";
|
||||
|
||||
function maxCategoryItems(state) {
|
||||
return (
|
||||
state.config.parameters?.["max-category-items"] ??
|
||||
globals.configDefaults.parameters["max-category-items"]
|
||||
);
|
||||
}
|
||||
|
||||
const CategoricalSelection = (
|
||||
state,
|
||||
action,
|
||||
nextSharedState,
|
||||
prevSharedState
|
||||
) => {
|
||||
switch (action.type) {
|
||||
case "initial data load complete (universe exists)":
|
||||
case "set World to current selection":
|
||||
case "reset World to eq Universe":
|
||||
case "set clip quantiles": {
|
||||
const { world } = nextSharedState;
|
||||
return ControlsHelpers.createCategoricalSelection(
|
||||
maxCategoryItems(prevSharedState),
|
||||
world
|
||||
);
|
||||
}
|
||||
|
||||
case "categorical metadata filter select": {
|
||||
/*
|
||||
Set the specific category in this field to false
|
||||
*/
|
||||
const newCategoryValueSelected = Array.from(
|
||||
state[action.metadataField].categoryValueSelected
|
||||
);
|
||||
newCategoryValueSelected[action.categoryIndex] = true;
|
||||
const newCategoricalSelection = {
|
||||
...state,
|
||||
[action.metadataField]: {
|
||||
...state[action.metadataField],
|
||||
categoryValueSelected: newCategoryValueSelected
|
||||
}
|
||||
};
|
||||
return newCategoricalSelection;
|
||||
}
|
||||
|
||||
case "categorical metadata filter deselect": {
|
||||
/*
|
||||
Set the specific category in this field to false
|
||||
*/
|
||||
const newCategoryValueSelected = Array.from(
|
||||
state[action.metadataField].categoryValueSelected
|
||||
);
|
||||
newCategoryValueSelected[action.categoryIndex] = false;
|
||||
const newCategoricalSelection = {
|
||||
...state,
|
||||
[action.metadataField]: {
|
||||
...state[action.metadataField],
|
||||
categoryValueSelected: newCategoryValueSelected
|
||||
}
|
||||
};
|
||||
return newCategoricalSelection;
|
||||
}
|
||||
|
||||
case "categorical metadata filter none of these": {
|
||||
/*
|
||||
set all categories in this field to false.
|
||||
*/
|
||||
const newCategoricalSelection = {
|
||||
...state,
|
||||
[action.metadataField]: {
|
||||
...state[action.metadataField],
|
||||
categorySelected: false,
|
||||
categoryValueSelected: Array.from(
|
||||
state[action.metadataField].categoryValueSelected
|
||||
).fill(false)
|
||||
}
|
||||
};
|
||||
return newCategoricalSelection;
|
||||
}
|
||||
|
||||
case "categorical metadata filter all of these": {
|
||||
/*
|
||||
set all categories in this field to true.
|
||||
*/
|
||||
const newCategoricalSelection = {
|
||||
...state,
|
||||
[action.metadataField]: {
|
||||
...state[action.metadataField],
|
||||
categorySelected: true,
|
||||
categoryValueSelected: Array.from(
|
||||
state[action.metadataField].categoryValueSelected
|
||||
).fill(true)
|
||||
}
|
||||
};
|
||||
return newCategoricalSelection;
|
||||
}
|
||||
|
||||
default: {
|
||||
return state;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
export default CategoricalSelection;
|
||||
@@ -0,0 +1,44 @@
|
||||
import calcCentroid from "../util/centroid";
|
||||
|
||||
const initialState = {
|
||||
metadataField: "",
|
||||
categoryIndex: -1,
|
||||
categoryField: "",
|
||||
centroidXY: [-1, -1]
|
||||
};
|
||||
|
||||
const CentroidLabel = (state = initialState, action, sharedNextState) => {
|
||||
const { categoricalSelection, world, layoutChoice } = sharedNextState;
|
||||
const { metadataField, categoryIndex } = action;
|
||||
const categoryField =
|
||||
categoricalSelection?.[metadataField]?.categoryValues[categoryIndex];
|
||||
switch (action.type) {
|
||||
case "category value mouse hover start":
|
||||
return {
|
||||
...state,
|
||||
metadataField,
|
||||
categoryIndex,
|
||||
categoryField,
|
||||
centroidXY: null /* calcCentroid( This function call is computationally heavy and also leading to large GC. Before reimplementation, look into optimization and memoization
|
||||
world,
|
||||
metadataField,
|
||||
categoryField,
|
||||
layoutChoice.currentDimNames
|
||||
) */
|
||||
};
|
||||
|
||||
case "category value mouse hover end":
|
||||
if (
|
||||
metadataField === state.metadataField &&
|
||||
categoryIndex === state.categoryIndex
|
||||
) {
|
||||
return initialState;
|
||||
}
|
||||
return state;
|
||||
|
||||
default:
|
||||
return state;
|
||||
}
|
||||
};
|
||||
|
||||
export default CentroidLabel;
|
||||
@@ -0,0 +1,130 @@
|
||||
import { ColorHelpers } from "../util/stateManager";
|
||||
|
||||
const ColorsReducer = (
|
||||
state = {
|
||||
colorMode: null,
|
||||
colorAccessor: null,
|
||||
rgb: null,
|
||||
scale: null
|
||||
},
|
||||
action,
|
||||
nextSharedState,
|
||||
prevSharedState
|
||||
) => {
|
||||
switch (action.type) {
|
||||
case "initial data load complete (universe exists)":
|
||||
case "reset World to eq Universe": {
|
||||
const { world } = nextSharedState;
|
||||
const colorMode = null;
|
||||
const colorAccessor = null;
|
||||
const { rgb, scale } = ColorHelpers.createColors(world, colorMode);
|
||||
return {
|
||||
...state,
|
||||
colorAccessor,
|
||||
colorMode,
|
||||
rgb,
|
||||
scale
|
||||
};
|
||||
}
|
||||
|
||||
case "set clip quantiles":
|
||||
case "set World to current selection": {
|
||||
const { world: prevWorld, controls: prevControls } = prevSharedState;
|
||||
const resetColorState = ColorHelpers.checkIfColorByDiffexpAndResetColors(
|
||||
prevControls,
|
||||
state,
|
||||
prevWorld
|
||||
);
|
||||
if (resetColorState) {
|
||||
return resetColorState;
|
||||
}
|
||||
|
||||
const { colorMode, colorAccessor } = state;
|
||||
const { world } = nextSharedState;
|
||||
const { rgb, scale } = ColorHelpers.createColors(
|
||||
world,
|
||||
colorMode,
|
||||
colorAccessor
|
||||
);
|
||||
return {
|
||||
...state,
|
||||
rgb,
|
||||
scale
|
||||
};
|
||||
}
|
||||
|
||||
case "reset colorscale": {
|
||||
return {
|
||||
...state,
|
||||
...ColorHelpers.resetColors(prevSharedState.world)
|
||||
};
|
||||
}
|
||||
|
||||
case "color by categorical metadata":
|
||||
case "color by continuous metadata": {
|
||||
const { world } = prevSharedState;
|
||||
|
||||
/* toggle between this mode and reset */
|
||||
const resetCurrent =
|
||||
action.type === state.colorMode &&
|
||||
action.colorAccessor === state.colorAccessor;
|
||||
const colorMode = !resetCurrent ? action.type : null;
|
||||
const colorAccessor = !resetCurrent ? action.colorAccessor : null;
|
||||
|
||||
const { rgb, scale } = ColorHelpers.createColors(
|
||||
world,
|
||||
colorMode,
|
||||
colorAccessor
|
||||
);
|
||||
return {
|
||||
...state,
|
||||
colorMode,
|
||||
colorAccessor,
|
||||
rgb,
|
||||
scale
|
||||
};
|
||||
}
|
||||
|
||||
case "color by expression": {
|
||||
const { world } = prevSharedState;
|
||||
|
||||
/* toggle between this mode and reset */
|
||||
const resetCurrent =
|
||||
action.type === state.colorMode && action.gene === state.colorAccessor;
|
||||
const colorMode = !resetCurrent ? action.type : null;
|
||||
const colorAccessor = !resetCurrent ? action.gene : null;
|
||||
|
||||
const { rgb, scale } = ColorHelpers.createColors(
|
||||
world,
|
||||
colorMode,
|
||||
colorAccessor
|
||||
);
|
||||
return {
|
||||
...state,
|
||||
colorMode,
|
||||
colorAccessor,
|
||||
rgb,
|
||||
scale
|
||||
};
|
||||
}
|
||||
|
||||
case "clear differential expression": {
|
||||
const { world: prevWorld, controls: prevControls } = prevSharedState;
|
||||
const resetColorState = ColorHelpers.checkIfColorByDiffexpAndResetColors(
|
||||
prevControls,
|
||||
state,
|
||||
prevWorld
|
||||
);
|
||||
if (resetColorState) {
|
||||
return resetColorState;
|
||||
}
|
||||
return state;
|
||||
}
|
||||
|
||||
default: {
|
||||
return state;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
export default ColorsReducer;
|
||||
@@ -0,0 +1,34 @@
|
||||
// jshint esversion: 6
|
||||
const Config = (
|
||||
state = {
|
||||
displayNames: null,
|
||||
features: null,
|
||||
parameters: null
|
||||
},
|
||||
action
|
||||
) => {
|
||||
switch (action.type) {
|
||||
case "initial data load start":
|
||||
return {
|
||||
...state,
|
||||
loading: true,
|
||||
error: null
|
||||
};
|
||||
case "configuration load complete":
|
||||
return {
|
||||
...state,
|
||||
loading: false,
|
||||
error: null,
|
||||
...action.config
|
||||
};
|
||||
case "initial data load error":
|
||||
return {
|
||||
...state,
|
||||
error: action.error
|
||||
};
|
||||
default:
|
||||
return state;
|
||||
}
|
||||
};
|
||||
|
||||
export default Config;
|
||||
@@ -0,0 +1,35 @@
|
||||
import { makeContinuousDimensionName } from "../util/nameCreators";
|
||||
|
||||
const ContinuousSelection = (state = {}, action) => {
|
||||
switch (action.type) {
|
||||
case "reset World to eq Universe":
|
||||
case "set clip quantiles": {
|
||||
return {};
|
||||
}
|
||||
case "continuous metadata histogram start":
|
||||
case "continuous metadata histogram brush":
|
||||
case "continuous metadata histogram end": {
|
||||
const name = makeContinuousDimensionName(
|
||||
action.continuousNamespace,
|
||||
action.selection
|
||||
);
|
||||
return {
|
||||
...state,
|
||||
[name]: action.range
|
||||
};
|
||||
}
|
||||
case "continuous metadata histogram cancel": {
|
||||
const name = makeContinuousDimensionName(
|
||||
action.continuousNamespace,
|
||||
action.selection
|
||||
);
|
||||
const { [name]: deletedField, ...newState } = state;
|
||||
return newState;
|
||||
}
|
||||
default: {
|
||||
return state;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
export default ContinuousSelection;
|
||||
Vendored
+190
@@ -0,0 +1,190 @@
|
||||
// jshint esversion: 6
|
||||
|
||||
import _ from "lodash";
|
||||
|
||||
import { WorldUtil } from "../util/stateManager";
|
||||
|
||||
const Controls = (
|
||||
state = {
|
||||
// data loading flag
|
||||
loading: false,
|
||||
error: null,
|
||||
|
||||
// all of the data + selection state
|
||||
userDefinedGenes: [],
|
||||
userDefinedGenesLoading: false,
|
||||
diffexpGenes: [],
|
||||
|
||||
resettingInterface: false,
|
||||
graphInteractionMode: "select",
|
||||
opacityForDeselectedCells: 0.2,
|
||||
scatterplotXXaccessor: null, // just easier to read
|
||||
scatterplotYYaccessor: null,
|
||||
graphRenderCounter: 0 /* integer as <Component key={graphRenderCounter} - a change in key forces a remount */,
|
||||
__storedStateForCelllist1__: null /* will need procedural control of brush ie., brush.extent https://bl.ocks.org/micahstubbs/3cda05ca68cba260cb81 */,
|
||||
__storedStateForCelllist2__: null
|
||||
},
|
||||
action,
|
||||
nextSharedState,
|
||||
prevSharedState
|
||||
) => {
|
||||
/*
|
||||
For now, log anything looking like an error to the console.
|
||||
*/
|
||||
if (action.error || /error/i.test(action.type)) {
|
||||
console.error(action.error);
|
||||
}
|
||||
|
||||
switch (action.type) {
|
||||
/*****************************************************
|
||||
Initialization, World/Universe management
|
||||
and data loading.
|
||||
******************************************************/
|
||||
case "initial data load start": {
|
||||
return { ...state, loading: true };
|
||||
}
|
||||
case "initial data load complete (universe exists)": {
|
||||
/* first light - create world & other data-driven defaults */
|
||||
WorldUtil.clearCaches();
|
||||
return {
|
||||
...state,
|
||||
loading: false,
|
||||
error: null,
|
||||
resettingInterface: false
|
||||
};
|
||||
}
|
||||
case "reset World to eq Universe": {
|
||||
WorldUtil.clearCaches();
|
||||
return {
|
||||
...state,
|
||||
resettingInterface: false
|
||||
};
|
||||
}
|
||||
case "set World to current selection": {
|
||||
WorldUtil.clearCaches();
|
||||
return {
|
||||
...state,
|
||||
loading: false,
|
||||
error: null
|
||||
};
|
||||
}
|
||||
case "request user defined gene started": {
|
||||
return {
|
||||
...state,
|
||||
userDefinedGenesLoading: true
|
||||
};
|
||||
}
|
||||
case "request user defined gene error": {
|
||||
return {
|
||||
...state,
|
||||
userDefinedGenesLoading: false
|
||||
};
|
||||
}
|
||||
case "request user defined gene success": {
|
||||
const { userDefinedGenes } = state;
|
||||
const _userDefinedGenes = _.uniq(
|
||||
userDefinedGenes.concat(action.data.genes)
|
||||
);
|
||||
return {
|
||||
...state,
|
||||
userDefinedGenes: _userDefinedGenes,
|
||||
userDefinedGenesLoading: false
|
||||
};
|
||||
}
|
||||
case "request differential expression success": {
|
||||
const { world } = prevSharedState;
|
||||
const varIndexName = world.schema.annotations.var.index;
|
||||
const _diffexpGenes = [];
|
||||
action.data.forEach(d => {
|
||||
_diffexpGenes.push(world.varAnnotations.at(d[0], varIndexName));
|
||||
});
|
||||
return {
|
||||
...state,
|
||||
diffexpGenes: _diffexpGenes
|
||||
};
|
||||
}
|
||||
case "clear differential expression": {
|
||||
return {
|
||||
...state,
|
||||
diffexpGenes: []
|
||||
};
|
||||
}
|
||||
case "clear user defined gene": {
|
||||
const { userDefinedGenes } = state;
|
||||
const newUserDefinedGenes = _.filter(
|
||||
userDefinedGenes,
|
||||
d => d !== action.data
|
||||
);
|
||||
return {
|
||||
...state,
|
||||
userDefinedGenes: newUserDefinedGenes
|
||||
};
|
||||
}
|
||||
case "clear all user defined genes": {
|
||||
return {
|
||||
...state,
|
||||
userDefinedGenes: []
|
||||
};
|
||||
}
|
||||
case "expression load error":
|
||||
case "initial data load error": {
|
||||
return {
|
||||
...state,
|
||||
loading: false,
|
||||
error: action.error
|
||||
};
|
||||
}
|
||||
|
||||
/*******************************
|
||||
User Events
|
||||
*******************************/
|
||||
case "change graph interaction mode":
|
||||
return {
|
||||
...state,
|
||||
graphInteractionMode: action.data
|
||||
};
|
||||
case "change opacity deselected cells in 2d graph background":
|
||||
return {
|
||||
...state,
|
||||
opacityForDeselectedCells: action.data
|
||||
};
|
||||
case "increment graph render counter": {
|
||||
const c = state.graphRenderCounter + 1;
|
||||
return {
|
||||
...state,
|
||||
graphRenderCounter: c
|
||||
};
|
||||
}
|
||||
case "interface reset started": {
|
||||
return {
|
||||
...state,
|
||||
resettingInterface: true
|
||||
};
|
||||
}
|
||||
|
||||
/*******************************
|
||||
Scatterplot
|
||||
*******************************/
|
||||
case "set scatterplot x":
|
||||
return {
|
||||
...state,
|
||||
scatterplotXXaccessor: action.data
|
||||
};
|
||||
case "set scatterplot y":
|
||||
return {
|
||||
...state,
|
||||
scatterplotYYaccessor: action.data
|
||||
};
|
||||
case "clear scatterplot":
|
||||
return {
|
||||
...state,
|
||||
scatterplotXXaccessor: null,
|
||||
scatterplotYYaccessor: null
|
||||
};
|
||||
|
||||
default:
|
||||
return state;
|
||||
}
|
||||
};
|
||||
|
||||
export default Controls;
|
||||
@@ -0,0 +1,215 @@
|
||||
import _ from "lodash";
|
||||
|
||||
import Crossfilter from "../util/typedCrossfilter";
|
||||
import { World, ControlsHelpers } from "../util/stateManager";
|
||||
import {
|
||||
layoutDimensionName,
|
||||
obsAnnoDimensionName,
|
||||
userDefinedDimensionName,
|
||||
diffexpDimensionName,
|
||||
makeContinuousDimensionName
|
||||
} from "../util/nameCreators";
|
||||
|
||||
const XYDimName = layoutDimensionName("XY");
|
||||
|
||||
const CrossfilterReducer = (
|
||||
state = null,
|
||||
action,
|
||||
nextSharedState,
|
||||
prevSharedState
|
||||
) => {
|
||||
switch (action.type) {
|
||||
case "initial data load complete (universe exists)": {
|
||||
const { world, layoutChoice } = nextSharedState;
|
||||
const crossfilter = World.createObsDimensions(
|
||||
new Crossfilter(world.obsAnnotations),
|
||||
world,
|
||||
layoutChoice.currentDimNames
|
||||
);
|
||||
return crossfilter;
|
||||
}
|
||||
|
||||
case "reset World to eq Universe": {
|
||||
const { userDefinedGenes, diffexpGenes } = prevSharedState.controls;
|
||||
const { world } = nextSharedState;
|
||||
const crossfilter = ControlsHelpers.createGeneDimensions(
|
||||
userDefinedGenes,
|
||||
diffexpGenes,
|
||||
world,
|
||||
prevSharedState.resetCache.crossfilter
|
||||
);
|
||||
return crossfilter;
|
||||
}
|
||||
|
||||
case "set clip quantiles":
|
||||
case "set World to current selection": {
|
||||
const { userDefinedGenes, diffexpGenes } = prevSharedState.controls;
|
||||
const { world, layoutChoice } = nextSharedState;
|
||||
let crossfilter = new Crossfilter(world.obsAnnotations);
|
||||
crossfilter = World.createObsDimensions(
|
||||
crossfilter,
|
||||
world,
|
||||
layoutChoice.currentDimNames
|
||||
);
|
||||
crossfilter = ControlsHelpers.createGeneDimensions(
|
||||
userDefinedGenes,
|
||||
diffexpGenes,
|
||||
world,
|
||||
crossfilter
|
||||
);
|
||||
return crossfilter;
|
||||
}
|
||||
|
||||
case "set layout choice": {
|
||||
/*
|
||||
when switching layouts:
|
||||
- delete the existing XY index
|
||||
- add the new XY index (which implicitly selects all on it)
|
||||
*/
|
||||
const { world, layoutChoice } = nextSharedState;
|
||||
return state
|
||||
.delDimension(layoutDimensionName("XY"))
|
||||
.addDimension(
|
||||
layoutDimensionName("XY"),
|
||||
"spatial",
|
||||
world.obsLayout.col(layoutChoice.currentDimNames[0]).asArray(),
|
||||
world.obsLayout.col(layoutChoice.currentDimNames[1]).asArray()
|
||||
);
|
||||
}
|
||||
|
||||
case "request user defined gene success": {
|
||||
const { world } = prevSharedState;
|
||||
const gene = action.data.genes[0];
|
||||
return state.addDimension(
|
||||
userDefinedDimensionName(gene),
|
||||
"scalar",
|
||||
world.varData.col(gene).asArray(),
|
||||
Float32Array
|
||||
);
|
||||
}
|
||||
|
||||
case "request differential expression success": {
|
||||
const { world } = prevSharedState;
|
||||
const varIndexName = world.schema.annotations.var.index;
|
||||
const genes = _.map(action.data, d =>
|
||||
world.varAnnotations.at(d[0], varIndexName)
|
||||
);
|
||||
const crossfilter = _.reduce(
|
||||
genes,
|
||||
(xfltr, gene) =>
|
||||
xfltr.addDimension(
|
||||
diffexpDimensionName(gene),
|
||||
"scalar",
|
||||
world.varData.col(gene).asArray(),
|
||||
Float32Array
|
||||
),
|
||||
state
|
||||
);
|
||||
return crossfilter;
|
||||
}
|
||||
|
||||
case "clear differential expression": {
|
||||
const { world } = prevSharedState;
|
||||
const varIndexName = world.schema.annotations.var.index;
|
||||
const crossfilter = _.reduce(
|
||||
action.diffExp,
|
||||
(xfltr, values) => {
|
||||
const name = world.varAnnotations.at(values[0], varIndexName);
|
||||
return xfltr.delDimension(diffexpDimensionName(name));
|
||||
},
|
||||
state
|
||||
);
|
||||
return crossfilter;
|
||||
}
|
||||
|
||||
case "clear user defined gene": {
|
||||
return state.delDimension(userDefinedDimensionName(action.data));
|
||||
}
|
||||
|
||||
case "clear all user defined genes": {
|
||||
const { userDefinedGenes } = prevSharedState.controls;
|
||||
const crossfilter = _.reduce(
|
||||
userDefinedGenes,
|
||||
(xfltr, gene) => xfltr.delDimension(userDefinedDimensionName(gene)),
|
||||
state
|
||||
);
|
||||
return crossfilter;
|
||||
}
|
||||
|
||||
case "graph brush end":
|
||||
case "graph brush change": {
|
||||
const [minX, maxY] = action.brushCoords.northwest;
|
||||
const [maxX, minY] = action.brushCoords.southeast;
|
||||
return state.select(XYDimName, {
|
||||
mode: "within-rect",
|
||||
minX,
|
||||
minY,
|
||||
maxX,
|
||||
maxY
|
||||
});
|
||||
}
|
||||
|
||||
case "graph lasso end": {
|
||||
const { polygon } = action;
|
||||
return state.select(XYDimName, {
|
||||
mode: "within-polygon",
|
||||
polygon
|
||||
});
|
||||
}
|
||||
|
||||
case "graph lasso cancel":
|
||||
case "graph brush cancel":
|
||||
case "graph lasso deselect":
|
||||
case "graph brush deselect": {
|
||||
return state.select(XYDimName, { mode: "all" });
|
||||
}
|
||||
|
||||
case "continuous metadata histogram start":
|
||||
case "continuous metadata histogram brush":
|
||||
case "continuous metadata histogram cancel":
|
||||
case "continuous metadata histogram end": {
|
||||
const name = makeContinuousDimensionName(
|
||||
action.continuousNamespace,
|
||||
action.selection
|
||||
);
|
||||
// action.selection: metadata name being selected
|
||||
// action.range: filter range, or null if deselected
|
||||
if (!action.range) {
|
||||
return state.select(name, { mode: "all" });
|
||||
}
|
||||
const [lo, hi] = action.range;
|
||||
const newState = state.select(name, { mode: "range", lo, hi });
|
||||
return newState;
|
||||
}
|
||||
|
||||
case "categorical metadata filter select":
|
||||
case "categorical metadata filter deselect": {
|
||||
const { categoricalSelection } = nextSharedState;
|
||||
const { world } = prevSharedState;
|
||||
const cat = categoricalSelection[action.metadataField];
|
||||
const col = world.obsAnnotations.col(action.metadataField);
|
||||
return state.select(obsAnnoDimensionName(action.metadataField), {
|
||||
mode: "exact",
|
||||
values: ControlsHelpers.selectedValuesForCategory(cat, col)
|
||||
});
|
||||
}
|
||||
|
||||
case "categorical metadata filter none of these": {
|
||||
return state.select(obsAnnoDimensionName(action.metadataField), {
|
||||
mode: "none"
|
||||
});
|
||||
}
|
||||
|
||||
case "categorical metadata filter all of these": {
|
||||
return state.select(obsAnnoDimensionName(action.metadataField), {
|
||||
mode: "all"
|
||||
});
|
||||
}
|
||||
|
||||
default: {
|
||||
return state;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
export default CrossfilterReducer;
|
||||
@@ -1,4 +1,5 @@
|
||||
// jshint esversion: 6
|
||||
|
||||
const Differential = (
|
||||
state = {
|
||||
diffExp: null,
|
||||
@@ -11,29 +12,49 @@ const Differential = (
|
||||
) => {
|
||||
switch (action.type) {
|
||||
case "request differential expression started":
|
||||
return Object.assign({}, state, {
|
||||
return {
|
||||
...state,
|
||||
loading: true,
|
||||
error: null
|
||||
});
|
||||
};
|
||||
case "request differential expression success":
|
||||
return Object.assign({}, state, {
|
||||
return {
|
||||
...state,
|
||||
error: null,
|
||||
loading: false,
|
||||
diffExp: action.data
|
||||
});
|
||||
};
|
||||
case "request differential expression error":
|
||||
return Object.assign({}, state, {
|
||||
return {
|
||||
...state,
|
||||
loading: false,
|
||||
error: action.data
|
||||
});
|
||||
};
|
||||
case "store current cell selection as differential set 1":
|
||||
return Object.assign({}, state, {
|
||||
return {
|
||||
...state,
|
||||
celllist1: action.data
|
||||
});
|
||||
};
|
||||
case "store current cell selection as differential set 2":
|
||||
return Object.assign({}, state, {
|
||||
return {
|
||||
...state,
|
||||
celllist2: action.data
|
||||
});
|
||||
};
|
||||
case "clear differential expression":
|
||||
return {
|
||||
...state,
|
||||
diffExp: null,
|
||||
celllist1: null,
|
||||
celllist2: null
|
||||
};
|
||||
case "reset World to eq Universe":
|
||||
case "set World to current selection":
|
||||
return {
|
||||
...state,
|
||||
diffExp: null,
|
||||
celllist1: null,
|
||||
celllist2: null
|
||||
};
|
||||
default:
|
||||
return state;
|
||||
}
|
||||
@@ -0,0 +1,61 @@
|
||||
const GraphSelection = (
|
||||
state = {
|
||||
tool: "lasso", // what selection tool mode (lasso, brush, ...)
|
||||
selection: { mode: "all" } // current selection, which is tool specific
|
||||
},
|
||||
action
|
||||
) => {
|
||||
switch (action.type) {
|
||||
case "set clip quantiles":
|
||||
case "reset World to eq Universe":
|
||||
case "set layout choice": {
|
||||
return {
|
||||
...state,
|
||||
selection: {
|
||||
mode: "all"
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
case "graph brush end":
|
||||
case "graph brush change": {
|
||||
const { brushCoords } = action;
|
||||
return {
|
||||
...state,
|
||||
selection: {
|
||||
mode: "within-rect",
|
||||
brushCoords
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
case "graph lasso end": {
|
||||
const { polygon } = action;
|
||||
return {
|
||||
...state,
|
||||
selection: {
|
||||
mode: "within-polygon",
|
||||
polygon
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
case "graph lasso cancel":
|
||||
case "graph brush cancel":
|
||||
case "graph lasso deselect":
|
||||
case "graph brush deselect": {
|
||||
return {
|
||||
...state,
|
||||
selection: {
|
||||
mode: "all"
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
default: {
|
||||
return state;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
export default GraphSelection;
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user