DataBrewery · stdword · Mar 1, 2017 · Mar 5, 2017 · Aug 25, 2018 · Sep 4, 2018
diff --git a/.coverage b/.coverage
diff --git a/.coveragerc b/.coveragerc
diff --git a/.hgignore b/.hgignore
diff --git a/.hgtags b/.hgtags
diff --git a/.travis.yml b/.travis.yml
@@ -5,6 +5,5 @@ python:
     - 3.4
 install: 
     - pip install -r requirements.txt
-    - pip install -r requirements-optional.txt
 script: python setup.py develop && python setup.py test
 
diff --git a/AUTHORS b/AUTHORS
@@ -1,19 +1,4 @@
-Cubes was created and is maintained by Stefan Urbanek.
+This is a fork of cubes framework called cubes_lite which is maintained by Sergey Kolesnik.
 
-Major contributing authors:
-
-* Stefan Urbanek <stefan.urbanek@gmail.com>, @Stiivi at Twitter
-* Robin Thomas <rthomas900@gmail.com>, @rthomas900 at Twitter
-
-People who have submitted patches, reported bugs, consulted features or
-generally made Cubes better:
-
-* Jose Juan Montes (jjmontesl)
-* Jonathan Camile (deytao)
-* Cristian Salamea
-* Travis Truman
-* Brad Willard
-* Mathew Thomas
-* Ryan Berlew
-* Andrew Bartholomew
-* Emily Wagner
+Original cubes was created and is maintained by Stefan Urbanek.
+You can find the original version and all contributing authors here: https://github.com/DataBrewery/cubes
diff --git a/CHANGES b/CHANGES
diff --git a/LICENSE b/LICENSE
@@ -1,4 +1,4 @@
-Copyright (c) 2011-2012 Stefan Urbanek, see AUTHORS for more details
+Copyright (c) 2018 Sergey Kolesnik, see AUTHORS for more details
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

diff --git a/README.md b/README.md
@@ -1,134 +1,53 @@
-Cubes - Online Analytical Processing Framework for Python
-=========================================================
+Cubes-Lite - Online Analytical Processing Framework for Python
+==============================================================
 
-[![Join the chat at https://gitter.im/DataBrewery/cubes](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/DataBrewery/cubes?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
+Cubes-Lite is a Python framework based on Cubes with breaking changes.
+It stands for easily constructing non-standard
+queries to several cubes at the same time with custom joining rules.
 
-[![Flattr this git repo](http://api.flattr.com/button/flattr-badge-large.png)](https://flattr.com/submit/auto?user_id=Stiivi&url=https://github.com/databrewery/cubes&title=Cubes&language=&tags=github&category=software)
-
-Cubes is a light-weight Python framework and set of tools for Online
-Analytical Processing (OLAP), multidimensional analysis and browsing of
-aggregated data.
-
-*Focus on data analysis, in human way*
+Cubes is a light-weight Python framework for Online
+Analytical Processing (OLAP) and browsing of aggregated data
+(https://github.com/DataBrewery/cubes)
 
 
 Overview
 ========
 
-Purpose is to provide a framework for giving analyst or any application
-end-user understandable and natural way of presenting the multidimensional
-data. One of the main features is the logical model, which serves as
-abstraction over physical data to provide end-user layer.
+Purpose is to provide a framework for constructing complex queries
+on several cubes and be a little bit smarter than raw queries, but as much simple.
 
 Features:
 
-* OLAP and aggregated browsing (default backend is for relational databse -
-  ROLAP)
-* multidimensional analysis
-* logical view of analysed data - how analysts look at data, how they think of
-  data, not not how the data are physically implemented in the data stores
-* hierarchical dimensions (attributes that have hierarchical dependencies,
-  such as category-subcategory or country-region)
-* localizable metadata and data
-* SQL query generator for multidimensional aggregation queries
-* OLAP server – HTTP server based on Flask Blueprint, can be [easily
-  integrated](http://pythonhosted.org/cubes/deployment.html) into your
-  application.
-
-Download
-========
-
-Current recommended version is 1.1.x. It hasn't been yet tagged so please use the *master* branch.
-This version includes SQL backend support out of the box, and other backends have been moved to separate
-projects (ie. MongoDB). This branch (currently *master*) will be soon tagged as 1.1 release.
-
-Previous stable version was 1.0.1. This version included all backend types, but no further
-development will be done on this branch.
-
-
-Documentation
-=============
-
-[Latest documentation](http://cubes.readthedocs.org/en/latest)
-
-Examples
---------
-
-See `examples` directory in the source code repository
-for simple examples and use-cases.
-
-See https://github.com/DataBrewery/cubes-examples
-for more complex examples.
-
-Models
-------
-
-For cubes models see
-https://github.com/DataBrewery/cubes-models
-
-
-Development
-============
+* OLAP and aggregated browsing
+* Custom joining rules between each cube in model 
+* Use sqlalchemy to construct queries and to get the most optimized query
 
-Source code is in a Git repository [on GitHub](https://github.com/DataBrewery/cubes)
 
-    git clone git://github.com/DataBrewery/cubes
+Breaking changes
+----------------
 
-After you've cloned, you might want to install all of the development dependencies.
+* removed slicer server
+* removed visualizer
+* removed localization
+* removed authorization
+* removed stores, providers, workspaces
+* removed hierarchies
 
-    pip install -e .[dev]
+* added optional cuts (for different dimensions)
 
-Build the documentation like so. ::
+* redesigned model loading
+* redesigned a way of aggregation
 
-    cd doc
-    make help
-    make html
-
-Outputs will go in ``doc/_*``.
+* speedup: runtime inspection of 'expression' field replaced with
+manual dependencies specification
 
 
 Requirements
 ------------
 
-Python >= 2.7 and Python >= 3.4.1
-
-Most of the requirements are soft (optional) and need to be satisfied only if
-certain parts of cubes are being used.
-
-* SQLAlchemy from http://www.sqlalchemy.org/ version >= 0.7.4 - for SQL
-  backend
-* Flask from http://flask.pocoo.org/ for Slicer server
-* Jinja2 from http://jinja.pocoo.org/docs/ for HTML presenters
-
-Support
-=======
-
-If you have questions, problems or suggestions, you can send a message to the
-[Google group cubes-discuss](http://groups.google.com/group/cubes-discuss).
-
-IRC channel #databrewery on server irc.freenode.net
-
-Report bugs using [github issue
-tracking](https://github.com/DataBrewery/cubes/issues).
-
-
-Development
------------
-
-If you are browsing the code and you find something that:
-
-* is over-complicated or not obvious
-* is redundant
-* can be done in better Python-way
-
-... please let it be known.
-
-Authors
-=======
+* Python >= 2.7 and Python >= 3.4.1
 
-Cubes is written and maintained by Stefan Urbanek (@Stiivi on Twitter)
-<stefan.urbanek@gmail.com> and various contributors. See AUTHORS file for more
-information.
+* SQLAlchemy from http://www.sqlalchemy.org/ version >= 0.7.4
 
 
 License

diff --git a/Roadmap.md b/Roadmap.md
diff --git a/Visualizer.md b/Visualizer.md
diff --git a/bin/slicer-indexer b/bin/slicer-indexer