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...
Author SHA1 Message Date
Roy Zheng 96cb19c89b chore: CCIE-4984 conform to open sourcing guidelines 2025-08-11 22:52:38 +00:00
Justin Kiggins eb1dc8944f Update README.md (#2725)
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Trademark
2025-05-14 12:03:19 -07:00
Ronen fd8b47b78e chore: Release 1.3.0 (#2700)
* Bump version: 1.2.0 → 1.3.0-rc.0

* Bump version: 1.3.0-rc.0 → 1.3.0
2024-09-12 16:05:14 -04:00
Ronen 487bd13ff8 chore: add support for python 3.12 (#2694) 2024-09-12 14:16:46 -04:00
Ronen eb743efd9a fix: webpack upgrade (#2691) 2024-09-09 13:34:44 -04:00
Ronen 67d152e108 fix: mlflow critical upgrade (#2690) 2024-09-09 12:29:09 -04:00
Timmy Huang c425d2e0b0 fix: underscore snakecase notation to hyphenated snakecase for diffexp-may-be-slow (#2687) 2024-09-05 10:09:13 -07:00
Timmy Huangandkaloster 7bf5add6ef chore: Fix compatibility tests (#2685)
* chore: Fix compatibility tests

* DEBUGGGG

* fix: update deps, fix unit tests

* fix: FE deps

* chore: update compatibility matrix

---------

Co-authored-by: kaloster <rkalo@contractor.chanzuckerberg.com>
2024-09-05 09:26:40 -07:00
dependabot[bot]andTimmy Huang 4281a8f816 chore(deps-dev): bump follow-redirects from 1.15.1 to 1.15.6 in /client (#2661)
Bumps [follow-redirects](https://github.com/follow-redirects/follow-redirects) from 1.15.1 to 1.15.6.
- [Release notes](https://github.com/follow-redirects/follow-redirects/releases)
- [Commits](https://github.com/follow-redirects/follow-redirects/compare/v1.15.1...v1.15.6)

---
updated-dependencies:
- dependency-name: follow-redirects
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Timmy Huang <tihuan@users.noreply.github.com>
2024-04-18 14:54:49 +00:00
Emanuele Bezzi 53e9edfec1 docs: change link to the CZI science community Slack (#2662) 2024-03-19 10:19:28 -07:00
24 changed files with 19364 additions and 2406 deletions
+1 -1
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 1.2.0
current_version = 1.3.0
commit = True
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?:-(?P<prerel>rc)\.(?P<prerelversion>\d+))?
serialize =
+12 -12
View File
@@ -14,9 +14,9 @@ jobs:
docker-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Build docker image
@@ -28,24 +28,23 @@ jobs:
strategy:
fail-fast: false
matrix:
# note: The `macos-latest` is latest Catalina version, and not Big Sur. So we explicitly ask for Big Sur (`macos-11`)
os: [ubuntu-latest, macos-latest, macos-11]
python-version: [3.8, 3.9, 3.10, 3.11]
os: [ubuntu-latest, macos-latest, macos-13]
python-version: ["3.10", "3.11", "3.12"]
cellxgene_build: [main, latest]
# add anndata pinned version test for subset of matrix configurations,
# in order to reduce matrix cross-product explosion
include:
- python-version: 3.9
- python-version: 3.12
cellxgene_build: latest
# TODO: dynamically use the literal version in requirements.txt,
# to avoid having to update this in manually in the future
# TODO: Do not bother running this if anndata latest version
# matches this pinned version, to avoid a redundant test
anndata_version: "==0.10.3"
anndata_version: "==0.10.9"
steps:
- uses: actions/checkout@v2
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Cache env vars
@@ -55,14 +54,14 @@ jobs:
run: echo "BREW_CACHE=`brew --cache`" >> $GITHUB_ENV
# FIXME: Only working for Linux
- name: Python cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ${{ env.PIP_CACHE }}
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Node cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ~/.npm
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
@@ -70,7 +69,7 @@ jobs:
${{ runner.os }}-node-
- name: Brew cache (MacOS)
if: startsWith(matrix.os, 'macos')
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ${{ env.BREW_CACHE }}
key: ${{ runner.os }}-brew-
@@ -96,6 +95,7 @@ jobs:
# keep same pip pkg versions as in the cxg release
sed -i'' -e 's/-r requirements.txt//' server/requirements-dev.txt
pip install -r server/requirements-dev.txt
pip install --force-reinstall numpy==2.0.1 numba>=0.60.0 pandas flatbuffers==2.0.7
- name: Install anndata version per matrix variable
run: pip install anndata${{ matrix.anndata_version }}
- name: Install node
+19 -17
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@@ -14,15 +14,15 @@ jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/checkout@v4
- run: |
git fetch --depth=1 origin +${{github.base_ref}}
- name: Set up Python 3.9
uses: actions/setup-python@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: 3.9
python-version: 3.12
- name: Node cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ~/.npm
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
@@ -45,22 +45,22 @@ jobs:
unit-test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.9 (pyenv) # pyenv needed for mlflow in cli annotate tests
- uses: actions/checkout@v4
- name: Set up Python 3.12 (pyenv) # pyenv needed for mlflow in cli annotate tests
uses: gabrielfalcao/pyenv-action@v9
with:
default: 3.9
default: 3.12
command: pip install -U pip # upgrade pip after installing python
- run: pip install virtualenv # virtualenv needed for mlflow in cli annotate tests
- name: Python cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Node cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ~/.npm
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
@@ -78,27 +78,29 @@ jobs:
runs-on: macos-latest
timeout-minutes: 20
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.9
uses: actions/setup-python@v4
- uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: 3.9
python-version: 3.12
- name: Python cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Node cache
uses: actions/cache@v1
uses: actions/cache@v4
with:
path: ~/.npm
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
restore-keys: |
${{ runner.os }}-node-
- name: Install dependencies
run: make pydist install-dist
run: |
pip install setuptools
make pydist install-dist
- name: Smoke tests (without annotations feature)
run: |
cd client && make smoke-test
+20
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@@ -0,0 +1,20 @@
The MIT License (MIT)
Copyright (c) 2017-2023 Chan Zuckerberg Initiative
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+15 -9
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@@ -27,7 +27,7 @@ Whether you need to visualize one thousand cells or one million, CELLxGENE Annot
### Quick start
To install CELLxGENE Annotate you need Python 3.6+. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
To install CELLxGENE Annotate you need Python 3.10+. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
Install the package.
@@ -58,7 +58,7 @@ Please [file an issue](https://github.com/chanzuckerberg/cellxgene/issues/new/ch
### Finding help
We'd love to hear from you!
For questions, suggestions, or accolades, [join the `#cellxgene-users` channel on the CZI Science Slack](https://join-cellxgene-users.herokuapp.com/) and say "hi!".
For questions, suggestions, or accolades, join the `#cellxgene-users` channel on the [CZI Science Community Slack](https://czi.co/science-slack) and say "hi!".
For any errors, [report bugs on Github](https://github.com/chanzuckerberg/cellxgene/issues).
@@ -66,22 +66,28 @@ For any errors, [report bugs on Github](https://github.com/chanzuckerberg/cellxg
### Contributing
We warmly welcome contributions from the community! Please see our [contributing guide](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/contribute.md) and don't hesitate to open an issue or send a pull request to improve CELLxGENE Annotate. Please see the [dev_docs](https://github.com/chanzuckerberg/cellxgene/tree/main/dev_docs) for pull request suggestions, unit test details, local documentation preview, and other development specifics.
We warmly welcome contributions from the community! Please see our [contributing guide](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/contribute.md) and don't hesitate to open an issue or send a pull request to improve CELLxGENE Annotate. Please see the [dev_docs](https://github.com/chanzuckerberg/cellxgene/tree/main/dev_docs) for pull request suggestions, unit test details, local documentation preview, and other development specifics.
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.
### 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 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. All code is freely available for reuse under the [MIT license](https://opensource.org/licenses/MIT).
Before extending CELLxGENE Annotate, we encourage you to reach out to us with ideas or questions. It might be possible that an
extension could be directly contributed, which would make it available for a wider audience, or that it's on our
[roadmap](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/roadmap.md) and under active development.
Before extending CELLxGENE Annotate, we encourage you to reach out to us with ideas or questions. It might be possible that an
extension could be directly contributed, which would make it available for a wider audience, or that it's on our
[roadmap](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/roadmap.md) and under active development.
See the [CELLxGENE extensions](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/community-extensions.md) section of our documentation for examples of community use and CELLxGENE extensions.
### Trademarks
CZ CELLXGENE, CZ CELLXGENE DISCOVER, and CZ CELLXGENE ANNOTATE are trademarks of the Chan Zuckerberg Initiative. All rights reserved.
Use, reuse, modification, and re-distribution of the source code in this repository is subject to the terms of the applicable open source [license](LICENSE.txt). However, that license does not grant permission to use the trademarks without separate, express permission from the Chan Zuckerberg Initiative.
See the [CELLxGENE extensions](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/community-extensions.md) section of our documentation for examples of community use and CELLxGENE extensions.
### Security
+2
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@@ -0,0 +1,2 @@
## Reporting Security Issues
If you believe you have found a security issue, please responsibly disclose by contacting us at [security@chanzuckerberg.com](mailto:security@chanzuckerberg.com).
+1
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@@ -0,0 +1 @@
18.17.0
+1 -1
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@@ -13,7 +13,7 @@ import * as ENV_DEFAULT from "../../../environment.default.json";
// a test can take more time to finish, so we don't want
// jest to shut off the test too soon
jest.setTimeout(2 * 60 * 1000);
setDefaultOptions({ timeout: 20 * 1000 });
setDefaultOptions({ timeout: 60 * 1000 });
jest.retryTimes(ENV_DEFAULT.RETRY_ATTEMPTS);
+1
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@@ -14,6 +14,7 @@ const DEFAULT_LAUNCH_CONFIG = {
headless: !isHeadful,
args: ["--ignore-certificate-errors", "--ignore-ssl-errors"],
ignoreHTTPSErrors: true,
timeout: 90000,
defaultViewport: {
width: 1280,
height: 960,
+19212 -2297
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+7 -6
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@@ -1,6 +1,6 @@
{
"name": "cellxgene",
"version": "1.2.0",
"version": "1.3.0",
"license": "MIT",
"description": "cellxgene is a web application for the interactive exploration of single cell sequence data.",
"repository": "https://github.com/chanzuckerberg/cellxgene",
@@ -18,7 +18,8 @@
},
"engineStrict": true,
"engines": {
"npm": ">=3.0.0"
"npm": ">=9.6.7",
"node": "^18.17.0"
},
"eslintConfig": {
"extends": "./configuration/eslint/eslint.js"
@@ -77,7 +78,7 @@
"whatwg-fetch": "^3.2.0"
},
"devDependencies": {
"@babel/core": "^7.13.16",
"@babel/core": "^7.25.2",
"@babel/plugin-proposal-class-properties": "^7.10.4",
"@babel/plugin-proposal-decorators": "^7.13.15",
"@babel/plugin-proposal-export-namespace-from": "^7.10.4",
@@ -123,7 +124,7 @@
"jest-circus": "^27.0.6",
"jest-environment-puppeteer": "^5.0.1",
"jest-fetch-mock": "^3.0.3",
"jest-puppeteer": "^5.0.1",
"jest-puppeteer": "^6.2.0",
"json-loader": "^0.5.7",
"lint-staged": "^10.2.11",
"lodash": "^4.17.21",
@@ -134,11 +135,11 @@
"lodash.zip": "^4.2.0",
"mini-css-extract-plugin": "^1.5.0",
"prettier": "^2.0.5",
"puppeteer": "^8.0.0",
"puppeteer": "^10.4.0",
"rimraf": "^3.0.2",
"serve-favicon": "^2.5.0",
"terser-webpack-plugin": "^5.1.1",
"webpack": "^5.88.2",
"webpack": "^5.94.0",
"webpack-cli": "^4.6.0",
"webpack-dev-middleware": "^4.1.0",
"webpack-merge": "^5.0.9",
@@ -16,7 +16,7 @@ const InformationMenu = React.memo((props) => {
rel="noopener"
/>
<MenuItem
href="https://join-cellxgene-users.herokuapp.com/"
href="https://czi.co/science-slack"
target="_blank"
icon="chat"
text="Chat"
+3 -3
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@@ -3,7 +3,7 @@
## Requirements
- npm
- Python 3.6+
- Python 3.10+
- Chrome
[See dev section of README](../README.md)
@@ -148,6 +148,6 @@ If you would like to run the smoke tests against a hot-reloaded version of the c
### Tips
- You can also install/launch the server side code from npm scrips (requires python3.6 with virtualenv) with the `scripts/backend_dev` script.
- You can also install/launch the server side code from npm scrips (requires python3.10 with virtualenv) with the `scripts/backend_dev` script.
- Check out [e2e Tests](e2e_tests.md) for more details
- Check out [e2e Tests](e2e_tests.md) for more details
+31 -23
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@@ -11,9 +11,10 @@ $PROJECT_ROOT`.
### Build
**Usage:** from the `$PROJECT_ROOT` directory run:
* `make build` builds whole app client and server
* `make build-client` runs webpack build
* `make build-for-server-dev` builds client and copies output directly into
- `make build` builds whole app client and server
- `make build-client` runs webpack build
- `make build-for-server-dev` builds client and copies output directly into
source tree (only for server devlopment)
### Clean
@@ -21,17 +22,19 @@ $PROJECT_ROOT`.
Deletes generated files.
**Usage:** from the `$PROJECT_ROOT` directory run:
* `make clean` cleans everything including node modules (means build with take
- `make clean` cleans everything including node modules (means build with take
a while
* `make clean-lite` cleans built directories
* `make clean-server` cleans source tree
- `make clean-lite` cleans built directories
- `make clean-server` cleans source tree
### Distribution
Creates distribution for python module to upload to pypi.
**Usage:** from the `$PROJECT_ROOT` directory run:
* `make pydist` builds code and then builds sdist
- `make pydist` builds code and then builds sdist
### Release
@@ -42,16 +45,18 @@ See `release_process.md`.
Installs requirements files.
**Usage:** from the `$PROJECT_ROOT` directory run:
* `make dev-env` installs requirements and requirments-dev (for building code)
- `make dev-env` installs requirements and requirments-dev (for building code)
### Installing cellxgene packages
**Usage:** from the `$PROJECT_ROOT` directory:
* `install-dev` - installs from local source tree
* `install-release-test` - installs from test pypi
* `install-release` - installs from pypi
* `install-dist` - installs from local dist folder
* `uninstall` - uninstalls cellxgene
- `install-dev` - installs from local source tree
- `install-release-test` - installs from test pypi
- `install-release` - installs from pypi
- `install-dist` - installs from local dist folder
- `uninstall` - uninstalls cellxgene
## Client-level scripts
@@ -62,8 +67,9 @@ Installs requirements files.
**About** Serve the current client javascript independently from the `server` code.
**Requires**
* The server to be running. Best way to do this is with [backend_dev](#backend_dev).
* `make ci` to install the necessary node modules
- The server to be running. Best way to do this is with [backend_dev](#backend_dev).
- `make ci` to install the necessary node modules
**Usage:** from the `$PROJECT_ROOT/client` directory run `make start-frontend`
@@ -75,23 +81,24 @@ the FE developer gets the current version of the backend with a single command
and no knowledge of python necessary. It creates and activates a virtual
environment and installs cellxgene from the current branch.
**Requires** `Python3.6+`, `virtual-env`, `pip`
**Requires** `Python3.10+`, `virtual-env`, `pip`
**Usage:** from the `$PROJECT_ROOT` directory run `./scripts/backend_dev`
**Options:**
* In parallel, you can then launch the node development server to serve the
- In parallel, you can then launch the node development server to serve the
current state of the FE with [`start-frontend`](#start-frontend), usually in
a different terminal tab.
* You can also select a specific dataset using `DATASET=<dataset path> ./scripts/backend_dev`.
* You can also use `CXG_OPTIONS` to pass options to the `cellxgene launch`
- You can also select a specific dataset using `DATASET=<dataset path> ./scripts/backend_dev`.
- You can also use `CXG_OPTIONS` to pass options to the `cellxgene launch`
command, as in `CXG_OPTIONS='--disable-annotations' ./scripts/backend_dev`.
**Breakdown**
| command | purpose |
| ---------------------------------------- | ---------------------------------------------------------- |
| python3.6 -m venv cellxgene | creates cellxgene virtual environment |
| python3.12 -m venv cellxgene | creates cellxgene virtual environment |
| source cellxgene/bin/activate | activates virtual environment |
| yes \| pip uninstall cellxgene \|\| true | uninstalls cellxgene (if installed) |
| pip install -e . | installs current local version of cellxgene |
@@ -102,14 +109,15 @@ environment and installs cellxgene from the current branch.
Methods used to test the client javascript code
**Usage:** from the `$PROJECT_ROOT/client` directory run:
* `make unit-test` Runs all unit tests. It excludes any tests in the e2e
- `make unit-test` Runs all unit tests. It excludes any tests in the e2e
folder. This is used by travis to run unit tests.
* `make smoke-test` Starts backend development server and runs end to end
- `make smoke-test` Starts backend development server and runs end to end
tests. This is what travis runs. It depends on the `e2e` and the
`backend-dev` targets. One starts the server, the other runs the tests. If
developing a front-end feature and just checking if tests pass, this is
probabaly the one you want to run.
* `npm run e2e` Runs backend tests without starting the server. You will need to
- `npm run e2e` Runs backend tests without starting the server. You will need to
start the rest api separately with the pbmc3k.h5ad file. Note you can use
the `JEST_ENV` environment variable to change how JEST runs in the browser.
The test runs against `localhost:3000` by default. You can use the
+1 -1
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@@ -2,7 +2,7 @@ import logging
import sys
from server.common.utils.utils import import_plugins
__version__ = "1.2.0"
__version__ = "1.3.0"
display_version = "cellxgene v" + __version__
try:
+1 -1
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@@ -176,7 +176,7 @@ class DatasetConfig(BaseConfig):
self.validate_correct_type_of_configuration_attribute("diffexp__top_n", int)
data_adaptor = self.get_data_adaptor()
if self.diffexp__enable and data_adaptor.parameters.get("diffexp_may_be_slow", False):
if self.diffexp__enable and data_adaptor.parameters.get("diffexp-may-be-slow", False):
context["messagefn"](
"CAUTION: due to the size of your dataset, " "running differential expression may take longer or fail."
)
+1 -2
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@@ -116,7 +116,7 @@ def _get_type_info(array: Union[np.ndarray, pd.Series, pd.Index]) -> Tuple[np.dt
raise TypeError("Unsupported data type.")
dtype = array.dtype
res = _get_type_info_from_dtype(dtype)
if res is not None:
return res
@@ -140,7 +140,6 @@ def _get_type_info(array: Union[np.ndarray, pd.Series, pd.Index]) -> Tuple[np.dt
if dtype.kind in ["i", "u"] and _can_cast_array_values_to_int32(array):
return (np.int32, {"type": "int32"})
if dtype.kind == "f":
_float64_warning(array.dtype)
return (np.float32, {"type": "float32"})
+1 -1
View File
@@ -211,7 +211,7 @@ class AnndataAdaptor(DataAdaptor):
# heuristic
n_values = self.data.shape[0] * self.data.shape[1]
if (n_values > 1e8 and self.server_config.adaptor__anndata_adaptor__backed is True) or (n_values > 5e8):
self.parameters.update({"diffexp_may_be_slow": True})
self.parameters.update({"diffexp-may-be-slow": True})
def _is_valid_layout(self, arr):
"""return True if this layout data is a valid array for front-end presentation:
+1 -1
View File
@@ -1,2 +1,2 @@
mlflow==1.27.0
mlflow==2.16.0
scanpy
+6 -5
View File
@@ -7,16 +7,17 @@ Flask-Cors>=3.0.9
Flask-RESTful>=0.3.6
flask-server-timing>=0.1.2
flask-talisman>=0.7.0
flatbuffers>=1.11.0,<2.0.0 # cellxgene is not compatible with 2.0.0. Requires migration
flatbuffers==2.0.7
flatten-dict>=0.2.0
fsspec>0.8.0
gunicorn>=20.0.4
h5py>=3.0.0
numba>=0.51.2
numpy>1.22
numba>=0.60.0
numpy==2.0.1
packaging>=20.0
pandas<2.0.0
pandas>=2.2.2
PyYAML>=5.4 # CVE-2020-14343
requests>=2.22.0
s3fs==0.4.2
scipy>=1.4
scipy>=1.4
setuptools
+5 -4
View File
@@ -14,7 +14,7 @@ with open("server/requirements-annotate.txt") as fh:
setup(
name="cellxgene",
version="1.2.0",
version="1.3.0",
packages=find_packages(),
url="https://github.com/chanzuckerberg/cellxgene",
license="MIT",
@@ -24,7 +24,7 @@ setup(
long_description=long_description,
long_description_content_type="text/markdown",
install_requires=requirements,
python_requires=">=3.6",
python_requires=">=3.10",
include_package_data=True,
zip_safe=False,
classifiers=[
@@ -37,8 +37,9 @@ setup(
"Operating System :: MacOS :: MacOS X",
"Programming Language :: JavaScript",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering :: Bio-Informatics",
],
+10 -10
View File
@@ -65,13 +65,13 @@ class EstDistTest(unittest.TestCase):
# non-finites
self.assertEqual(estimate_approximate_distribution(np.array([np.nan])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.PINF])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.NINF])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.inf])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.inf])), XApproximateDistribution.NORMAL)
self.assertEqual(
estimate_approximate_distribution(np.array([np.PINF, np.NINF, 0])), XApproximateDistribution.NORMAL
estimate_approximate_distribution(np.array([np.inf, np.inf, 0])), XApproximateDistribution.NORMAL
)
self.assertEqual(
estimate_approximate_distribution(np.array([np.nan, np.PINF, np.NINF])), XApproximateDistribution.NORMAL
estimate_approximate_distribution(np.array([np.nan, np.inf, np.inf])), XApproximateDistribution.NORMAL
)
raw = np.random.exponential(scale=1000, size=(50, 3))
@@ -82,15 +82,15 @@ class EstDistTest(unittest.TestCase):
XApproximateDistribution.COUNT,
)
self.assertEqual(
estimate_approximate_distribution(put(raw, [1], [np.PINF])),
estimate_approximate_distribution(put(raw, [1], [np.inf])),
XApproximateDistribution.COUNT,
)
self.assertEqual(
estimate_approximate_distribution(put(raw, [1], [np.NINF])),
estimate_approximate_distribution(put(raw, [1], [np.inf])),
XApproximateDistribution.COUNT,
)
self.assertEqual(
estimate_approximate_distribution(put(raw, [1, 3, 88], [np.nan, np.PINF, np.NINF])),
estimate_approximate_distribution(put(raw, [1, 3, 88], [np.nan, np.inf, np.inf])),
XApproximateDistribution.COUNT,
)
self.assertEqual(
@@ -103,15 +103,15 @@ class EstDistTest(unittest.TestCase):
XApproximateDistribution.NORMAL,
)
self.assertEqual(
estimate_approximate_distribution(put(logged, [1], [np.PINF])),
estimate_approximate_distribution(put(logged, [1], [np.inf])),
XApproximateDistribution.NORMAL,
)
self.assertEqual(
estimate_approximate_distribution(put(logged, [1], [np.NINF])),
estimate_approximate_distribution(put(logged, [1], [np.inf])),
XApproximateDistribution.NORMAL,
)
self.assertEqual(
estimate_approximate_distribution(put(logged, [1, 3, 88], [np.nan, np.PINF, np.NINF])),
estimate_approximate_distribution(put(logged, [1, 3, 88], [np.nan, np.inf, np.inf])),
XApproximateDistribution.NORMAL,
)
self.assertEqual(
+2 -2
View File
@@ -16,10 +16,10 @@ class TestJsonifyStrict(unittest.TestCase):
jsonify_strict({"nan": [np.nan]})
with self.assertRaises(ValueError):
jsonify_strict({"pinf": [np.PINF]})
jsonify_strict({"pinf": [np.inf]})
with self.assertRaises(ValueError):
jsonify_strict({"ninf": [np.NINF]})
jsonify_strict({"ninf": [np.inf]})
def test_jsonify_numpy_ndarray(self):
values = {
+10 -9
View File
@@ -42,7 +42,7 @@ class TestTypeConversionUtils(unittest.TestCase):
with self.assertRaises(TypeError):
get_schema_type_hint_from_dtype(np.dtype(dtype))
for dtype in [np.float16, np.float32, np.float64]:
for dtype in [np.float32, np.float64]:
self.assertEqual(get_schema_type_hint_from_dtype(np.dtype(dtype)), {"type": "float32"})
for dtype in [np.dtype(object), np.dtype(str)]:
@@ -123,17 +123,18 @@ int_OK_cases = [
float_OK_cases = [
{
"test_case": "float_OK_cases",
"data": data,
"expected_encoding_dtype": np.float32,
"expected_schema_hint": {"type": "float32"},
"logs": None if data.dtype != np.float64 else {"level": logging.WARNING, "output": "may lose precision"},
"logs": None if dtype == np.float32 else {"level": logging.WARNING, "output": "may lose precision"},
}
for dtype in [np.float16, np.float32, np.float64]
for dtype in [np.float32, np.float64]
for data in [
np.arange(-128, 1000, dtype=dtype),
pd.Series(np.arange(-128, 1000, dtype=dtype)),
pd.Index(np.arange(-129, 1000, dtype=dtype)),
np.array([-np.nan, np.NINF, -1, np.NZERO, 0, np.PZERO, 1, np.PINF, np.nan], dtype=dtype),
np.array([-np.nan, -np.inf, -1, -0.0, 0, 0.0, 1, np.inf, np.nan], dtype=dtype),
np.array([np.finfo(dtype).min, 0, np.finfo(dtype).max], dtype=dtype),
sparse.csr_matrix((10, 100), dtype=dtype),
]
@@ -198,12 +199,13 @@ category_numeric_OK_cases = [
# numeric, no NA/NaN, float
*[
{
"test_case": "numeric, no NA/NaN, float",
"data": data,
"expected_encoding_dtype": np.float32,
"expected_schema_hint": {"type": "categorical"},
"logs": {"level": logging.WARNING, "output": "may lose precision"},
"logs": None if dtype == np.float32 else {"level": logging.WARNING, "output": "may lose precision"},
}
for dtype in [np.float16, np.float32, np.float64]
for dtype in [np.float32, np.float64]
for data in [
pd.Series(np.array([0, 1, 2], dtype=dtype), dtype="category"),
pd.Series(np.array([0, 1, 2], dtype=dtype), dtype="category").cat.remove_categories([1]),
@@ -213,10 +215,11 @@ category_numeric_OK_cases = [
# numeric, has NA-induced cast to float32
*[
{
"test_case": "numeric, has NA-induced cast to float32",
"data": data,
"expected_encoding_dtype": np.float32,
"expected_schema_hint": {"type": "categorical"},
"logs": {"level": logging.WARNING, "output": "may lose precision"},
"logs": None if dtype == np.float32 else {"level": logging.WARNING, "output": "may lose precision"},
}
for dtype in [
np.int8,
@@ -227,7 +230,6 @@ category_numeric_OK_cases = [
np.uint32,
np.int64,
np.uint64,
np.float16,
np.float32,
np.float64,
]
@@ -312,7 +314,6 @@ class TestTypeInference(unittest.TestCase, AssertNoLog):
self.assertEqual(encoding_dtype, self.expected_encoding_dtype)
self.assertEqual(schema_hint, self.expected_schema_hint)
self.assertIn(logs["output"], logger.output[0])
else:
with self.assertNoLogs(logging.getLogger(), logging.WARNING):
encoding_dtype, schema_hint = get_dtype_and_schema_of_array(self.data)