* Fix float16 support [#2379]
Convert to float32 on startup unless backed, in which case error. scipy does not support complex slicing from float16 data so this is the easiest fix for now.
* minor msg change
This will give us the ability to specify different config options for
different dataroots.
the key of the dataroot dictionary is no longer the same as the dataroot_url.
Previously key==dataroot_url, and now those are separated.
Added an "is_multi_dataset" function to simplify logic where it branched on single vs multi.
Simplified the rest.py interface by no longer passing in the user annotations object, since
that can be retrieved from the dataset.
* Add user-defined category-label colors
Fixes https://github.com/chanzuckerberg/cellxgene/issues/1152
As described in https://github.com/chanzuckerberg/cellxgene/issues/1307
* Respond to feedback from @bkmartinjr in nodejs
* Respond to feedback from @bkmartinjr in python
* Add tests to the server module
* Autoformat python, run linter
* Make colors_get error handling specific
* Respond to feedback from @bkmartinjr
* Respond to feedback from @bkmartinjr
* Fix whitespace
* Fix python lint errrors
* Update documentation
* Add --disable-user-colors option to launch and cxgtool.py
* Fix python formatting
* Rename '--disable-user-colors' to '--disable-custom-colors'
* Specialize diffexp for tiledb
This patch adds a new diffexp algorithm which is tuned for tiledb.
This algorithm was written by Bruce and is adapted here to plug into the
current framework. The anndata_adaptor still calls the original
algotithm (which was move from diffexp.py to diffexp_generic.py).
The cxg_adaptor now calls the new diffexp_tiledb version. Some
code is shared between the two.
This is part 1 of the diffexp for tiledb. Further tuning and
global throttles are still needed.
A script to run and time diffexp with various options is also
added: test/run_diffexp.py.
* black reformat
* tighten up error reporting
* lint
* fine tuning
* additional improvements in exception handling
* lint
* include exception and traceback in log
* fix typo
* Introduce a config file to cellxgene
The config file format is in yaml. The default config is located
in server/common/default_config.py. A user may create a yaml file
that contains a subset of these fields. It can be used during cellxgene
launch, or for hosted cellxgene.
The code has also been refactored. Much of the logic to check arguments
has moved from launch to app config.
It is now possible to set the tiledb context parameters using the config
file. Other feature will soon be handled in a similar way.
* allow DataLocator to accept another locator as init param
* migrate to DataLocator
* migrate to DataLocator
* lint
* migrate to DataLocator
* add check for erroroneous use of remote path and annotations
* lint
* revert default data location - now back go CWD
* remove unused import
* first cut at re-embedding route and back-end support
* update and expand config route tests
* add scanpy_umap
* add reembedding to config route parameters
* front-end support for reembedding fetch and UI
* remove unused imports
* add loading state
* save reembedding in reducer state
* improve withColsFrom
* transmit reembed schema to client; pick unique embedding names
* display embeddings
* format
* lint
* spaces, tab size 2
* lint
* test hack for smoke-test race
* back out hack sleep
* add check for backed mode
* add unit test for reembedding
* lint
* hide re-embedding CLI param from help
* Add user-generated annotations tests to the server
Partially completes https://github.com/chanzuckerberg/cellxgene/issues/969
* Auto-format python code
* @skip_if: passing lambdas > than property strings
* Respond to feedback from @bkmartinjr
This PR contains a refactoring to make adding new features easier.
The new features include supporting the tiledb format, and the multi dataset application.
The refactoring includes
Simplifying the directory structure and files.
a class structure to handle annotations (currently one type: AnnotationsLocalFile).
a class to handle application configuration
a class structure to handle matrix data (currently AnndataAdaptor and CxgAdaptor). CxgAdaptor uses tiledb.
Algorithms that were previously dependent on the scanpy anndata object are now generalized to work with an abstract interface.
The multi dataset option is not fully supported yet, and so the option to use it is hidden.
Use "cli launch --dataroot ..."
To access this feature.
All combinations of app single dataset/ app multi dataset and AnndataAdaptor/CxgAdaptor work with all the features, such as annotations, ontologies, diffexp.
