refactoring structure

architecture.rst

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+====================
+Cloud Inventory
+====================
+
+Cloud Inventory able to catalog and manager system in multi-cloud environment
+
+- Server manager in multi-cloud
+- Reports with advanced filters
+- ‎Scheduler commands with Ansible
+- ‎Auto Discovery for cloud environment
+
+Architecture
+------------
+
+.. image:: ../_static/screen/arch_1.png
+
+Cloud inventory micro services:
+
+.. toctree::
+   :maxdepth: 1
+
+   client_app
+   server_app
+   discovery_app
+   reports_app
+   scheduler_app
+   remote_app
+   data_app
+   authenticator_app
+   websocket_app
+
+
+

docs/developer/api/discovery.rst

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+Discovery API
+-------------
+
+Crawler and connection with api providers. `See docs discovery api <https://maestro-server.github.io/discovery-api/>`_.
+
+.. raw:: html
+
+    <iframe src="https://maestro-server.github.io/discovery-api/" height="645px" width="100%"></iframe>

docs/developer/api/index.rst

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+APIs
+====================
+
+All commands, jobs, tasks or action is made by rest api, you can use se same api to integrate with your own applications.
+
+.. toctree::
+   :maxdepth: 1
+
+   server
+   discovery

docs/developer/api/server.rst

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+Server API
+----------
+
+Primary api, encharge by autentication, create and retrive data. `See docs server api <https://maestro-server.github.io/server-app/docs/inventory/>`_. 
+
+.. raw:: html
+
+    <iframe src="https://maestro-server.github.io/server-app/docs/inventory/" height="645px" width="100%"></iframe>

docs/developer/architecture/authenticator_app.rst

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+
+Autehnticator APP
+-----------------
+
+Autehnticator APP, security remote autehnticator
+- Remote autehnticator for remote server
+
+.. Danger::
+	This service is under development

docs/developer/architecture/client_app.rst

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+Client App
+----------
+
+The front end is written with:
+
+====================== ===========================================================================
+Vue2                   Main framework, using by react and manager views, routes and temaplates, 
+                       use vue-loader with webpack                                   
+Webpack2               bundler generate                                                                                                                       
+Bootue                 All micro components, like buttons, tables, forms and etc, 
+                       its 100% Bootstrap3 components built with Vue2, 100% standalone, no query.  
+Nginx                  Using for proxy reverse                                                                                                                
+Mocha / Chai / Sinon   Test, asserts and mock library.                                                                                                        
+====================== ===========================================================================
+
+----------
+
+**Vue2 Macro Architecture**
+
+.. image:: ../../_static/screen/client_arch.png
+
+**Important topics**
+
+- Front end application is divided in:
+
+	- **src/pages:** templates and bussiness rules (domain layer)
+
+	- **resources:** factories, modals, and cache managers (infrastructure layer)
+
+----------
+
+A single folder structure components normally use:
+
+.. image:: ../../_static/screen/client_component.png

docs/developer/architecture/data_app.rst

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+
+Data APP
+---------------
+
+Data app, database gateway micro service
+- Request and response database operations
+
+.. Danger::
+	This service is under development

docs/developer/architecture/discovery_app.rst

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+Discovery App
+-------------
+
+.. image:: ../../_static/screen/discovery.png
+
+Discovery using `Flask <http://flask.pocoo.org>`_,  and python >3.5, has api rest, and tasks.
+
+**Setup dev env**
+
+.. code-block:: bash
+
+    cd devtool/
+
+    docker-compose up -d
+
+Will be setup rabbitmq and redis
+
+**Windows Env**
+
+If you use windows, celery havent support for windows, the last version is 3.1.25.
+
+.. code-block:: bash
+
+    pip3 install celery==3.1.25
+
+    npm run powershell
+
+**Important topics**
+
+- Controller used factory dc abstract to create easy way to make CRUD in mongodb
+
+- The crawler is divided in 3 parts
+
+	- **api:** connect in api provider and get result
+
+	- **translate:** normalize the data
+
+	- **insert:** insert/update data in mongodb
+
+	Each step have unique task.
+
+- Config is managed by env variables, need to be, because in production env like k8s is easier to manager the pods.
+
+- Repository has pymongo objects.
+
+----------
+
+**Flower - Debbug Celery**
+
+We installed a flower, it's a control panel to centralize results throughout rabbitMQ, very useful to troubleshooting producer and consumers.
+
+.. code-block:: bash
+
+    flower -A app.celery
+
+    npm run flower

docs/developer/architecture/index.rst

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+Architecture
+====================
+
+Services relation, each service comunite by `rest` (http) calls.
+
+.. image:: ../../_static/screen/arch_1.png
+
+----------
+
+.. toctree::
+   :maxdepth: 1
+
+   client_app
+   server_app
+   discovery_app
+   reports_app
+   scheduler_app
+   remote_app
+   data_app
+   authenticator_app
+   websocket_app