This splits the backend into two parts: the local backend for desktop cellxgene and the AWS backend for hosted cellxgene. The local backend is in local_server while the hosted remains in server. The general idea is to copy everything from server to local_server, pull unneeded stuff out of local_server, and keep server as-is for this PR. Not touching server means all the infra and deployment code will continue working just as it did before so we can make those changes incrementally.
* Fix for favicon with --dataroot
* fix static assets in hosted cxg
The web proxy at aws eb was not finding the static assets.
The solution here is very simple: just copy the directory
containing the static assets to the top level of the artifact.zip.
This is not really the ideal solution. According to the AWS
docs you can make a mapping to the correct location in an
an ebextentions config file. I tried this and many combinations but
was not able to get this to work following that pattern.
Since we control the construction of the zip file, the solution
here isn't bad, but it could probably be made better.
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.
* first flatbuffer schema
* do not lint auto-generated files
* add flatbuffers package
* add flatbuffer module
* wire up /data/X/T route
* use flatbuffers for matrix data fetc
* clarity and comments
* add flatbuffer layout route
* clean up obsolete code
* fix tests
* move flake8 config to setup.cfg
* add comments
* lint
* rework layout routes for fbs
* add more type support to fbs
* lint
* add flatbuffer support for annotations
* function name improvements
* fix botched merge with master
* remove unused import
* route cleanup for flatbuffers
* rename function for clarity
* add missing globals to Jest tests
* fix client JS tests
* fix routes for Python tests
* comments for clarity
* non-finite floating point hardening
* more non-finite number handling
* lint
* fix tests for summarizeAnnotations
* harden diffexp calculation against FP errors
* cleanup unused code
* lint
* add encoding tests for flatbuffers
* application type specified as strings
* fix spelling error
* improve variable names
* add note about documentation gap
* rename FBS DataFrame to Matrix
