Pyros applications

Version 55 (Paul Carensac, 07/12/2016 03:25 pm)

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h1. Pyros applications
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List and details of all the pyros applications.
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{{>toc}}
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}pyrosapp%
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h3. Purpose
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 * Contains all the database Models
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 * Basic tests in tests.py
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 * Backoffice configuration in admin.py
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h3. Notes
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}dashboard%
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h3. Purpose
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 * Interface for all external users
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 * Leads to displays and actions for all the pyros modules (users, requests, system execution, ...)
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h3. Evolution
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 * Creating application
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    * manage.py startapp dashboard
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    * added 'dashboard' in settings.py -> INSTALLED_APPS
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    * created a urls.py file in dashboard module
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    * added _url(r'^dashboard/', include('dashboard.urls'))_ in pyros/urls.py -> urlpatterns
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    * created templates/ and templates/dashboard/ folders in dashboard module
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 * Main page
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    * added 'home' view in views.py
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    * linked 'home' view to 8000/dashboard URL
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    * created a template for the homepage in templates/dashboard/ (with bootstrap)
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    * created views, views linking (urls.py) and templates for the dashboard modules
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    * redirected mainpage buttons to Admin interface (temporary)
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 * System page (logs)
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    * Retrieve logs from the db
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    * Print logs and automatically update every second via an ajax request
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h3. Notes
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 * The buttons lead to the Admin interface for the moment
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 * Added bootstrap3 module (see Installation)
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 * Added Django Template Editor (see Eclipse configuration)
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h3. TODO
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 * Create the backoffice views as the modules are integrated in pyros
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 * Think about a system of permissions
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}scheduler%
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h3. Purpose
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 * Creates the planning with the OBSERVABLE sequences
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 * Give access to a web page to see the current & old plannings
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h3. Evolution
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 * Creating application
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    * manage.py startapp scheduler
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    * added 'scheduler' in settings.py -> INSTALLED_APPS
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    * created a urls.py file in scheduler module
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    * added _url(r'^scheduler/', include('scheduler.urls'))_ in pyros/urls.py -> urlpatterns
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    * created templates/ and templates/scheduler/ folders in scheduler module
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 * Model modifications
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    * Schedule
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        * Remove day_start
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        * Remove day_stop
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        * Add plan_start
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        * Add plan_end
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        * Enum system for the status 
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    * ScheduleHistory
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        * Remove day_start
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        * Remove day_stop
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        * Add plan_start
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        * Add plan_end
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    * Sequence
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        * Remove exec_start
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        * Remove exec_stop
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        * Add tsp
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        * Add tep
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        * Add jd1
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        * Add jd2
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        * Add deltaTL
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        * Add deltaTR
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        * Add t_prefered
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        * Changed duration from Float to DecimalField (more precise)
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        * Add overhead
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    * manage.py makemigrations sheduler ; manage.py migrate
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 * Creation of Scheduler and Interval classes in models.py
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 * Implementation of the Interval class
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 * Implementation of the Scheduler's 'make_schedule' function (and children). This is the only entry point for now. This function creates the planning (organizes the observable sequences).
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 * Creation of the web interface
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    * Added current_schedule.html in template/scheduler folder
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    * Created view and url linking to this template (with current planning retrieving)
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 * Creation of the simulator
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    * Created a second entry point in the Scheduler class (with a few minor adaptations to handle SIMULATION mode)
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    * Created a simulator module in the scheduler
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        * Added the MyHTMLParser class (easy implementation of HTMLParser)
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        * Added Simulator class. It parses a file given in parametr to retrieve sequences and create a schedule
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    * Created a second view linked to schedule/simulation to show simulation results
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 * Supression du système d'agent et ajout de la tâche (celery) de scheduling
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 * Main update 19/05/2016 : overheads & historic system
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    * Deleted ScheduleHistory
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    * Transformed the Sequence - Schedule relation to ManyToMany
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    * Moved the scheduling information into the M2M relationship class (shs = ScheduleHasSequences)
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    * Added a static overhead into scheduling (can be set from the calling code, through scheduler.max_overhead = blabla(float))
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h3. Tests
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 * Some tests in test.py to test the different functionalities of the scheduler. These tests include the simulation.
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 * A simulator at localhost:8000/scheduler/simulation, taking sequences from scheduler/sequences_cador.html
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h3. Notes
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 * Priorities and quotas are default-calculated (for the moment)
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 * What is the 'flag' attribute in the Schedule model ?
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h3. TODO
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 * views
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  * Link the main page to the current schedule instead of the simulation page
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  * Show user sequences in the schedules (with links)
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  * Give accces to old schedules (day / days before / all end-night plannings / all plannings)
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  * Give access to the refused sequences of a schedule, and the reasons of rejects
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 * scheduler
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  * Change the system to determine night start/end (they must be given in parameter, only if first_schedule is True)
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  * Store the reasons of rejects (create a new attribute, in shs ?)
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  * What is the 'flag' attribute ? (@AK)
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  * Do not create the execute_sequence tasks if it's not the night (- 120 seconds)
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  * Priority and quota computing
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  * Quotas evolution
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  * Blank space filling
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  * At the end of a scheduling send, it to the IC ?
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}alert_manager%
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h3. Purpose
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 * Listen to VOEvent network
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 * Sort interesting events
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 * Create requests according to these events
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 * Manage the requests created via the alerts
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 * Change the observation strategies for alerts
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h3. Evolution
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 * Creating application
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    * See scheduler documentation above
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 * Implementation of the agent system
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    * Created agent.py whith a "class AlertManagerAgent(Agent):" inside
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    * Overriding agent's 'work' and 'shutdown' method
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    * Added message(s) to agent.actions_by_message dictionnary, with the functions associated to these messages
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    * Added the Agent's launch system in apps.py
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 * Implementation of the VOEventListener Thread
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    * Created a "class VOEventListener(Thread):" in agent.py
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    * Overriding the run method
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 * 19/05/2016 : deleted the agent system (deleted from the applications below too)
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 * Added some VOEvents in events_to_send
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 * Installed Comet (see in [[Technical components]] section)
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 * Created 2 celery tasks in tesks.py : alert_listener and change_obs_strategy
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 * Added alert_listener launch at server start
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 * Implemented alert_listener : it waits for an event file to be created in events_received, then read it and creates a request
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 * Added a simulator system ( see section Tests below )
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 * Added the strategy_change page
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 * Removed launching at start : it is now started by the monitoring task
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h3. Tests
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 * Simulator : 
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  * You first need to set settings.SIMULATION to True (in pyros/settings.py)
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  * Start celery workers (scripts/start_celery_workers.sh)
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  * Start server (manage.py runserver)
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  * Go to localhost:8000/alert_manager/simulation, and press the button !
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  * This will read into the simulation_sequences file.
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 * Test AlertListenerTestsCelery.test_alert_reception :
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  * Tests if the alert_listener is working well.
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  * +Be careful :+ this will act on the production database, and will start the entire alert workflow
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  * To start it : script/celery_test.sh alert_manager
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 * Tests TestStrategyChange.* :
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  * Test the changing of the observation strategy with errors and different parameters
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h3. Notes
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 * The request created by alert_listener is hard-coded
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h3. TODO
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 * Web :
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  * Print if there is an alert in progress in the main page
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  * Link the alerts to their status and results
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 * Connect to a real VOEvent broker
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 * Determine the communication with FSC for strategy change
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 * VOEvents :
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  * Extract the good fields (see AK Q&A 07/01/2016)
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  * Fill the request & alerts objects
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  * Use strategies to build a request
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  * Handle VOEvent updates
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  * Be careful to not create 2 alerts for a same GRB, seen by 2 different satellites 
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}analyzer%
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h3. Purpose
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 * Apply calibration files to the images taken by the observation manager
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 * Analyze the images produced by the calibrations
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h3. Evolution
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 * Creating application
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    * See scheduler documentation above
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 * Implemented the skeleton of the module in the task Analysis (call  a function for calibrations then a function for analyses)
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h3. Notes
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h3. TODO
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 * Apply the calibrations in the right function
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 * Apply the analyses only if it's a GRB
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 * Implement the analyses
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 * Send analyses to FSC
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}majordome%
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h3. Purpose
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 * Handles the execution of the sequences in the right order during the night
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 * Handles the system start & stop
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 * Handles the changes of observation conditions
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 * Stops the celery tasks when needed
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h3. Evolution
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 * Creating application
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  * See scheduler documentation above
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  * Created all the tasks in tasks.py
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  * Created the TaskManager to stop the sequence & plan executions when an alert / routine is received
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  * Implemented execute_sequence (not finished)
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h3. Notes
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h3. TODO
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 * TaskManager
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  * When a sequence is cancelled, give back the quota to the user
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  * In case of alert, do not stop the ongoing plan, and make the instruments abort
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 * execute_sequence
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  * Add the PLC checks at start (to see if we do the slew)
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  * Use the global telescope (instead of creating one here)
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  * Give first_schedule as false when a scheduling is launched
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  * Remove the default countdown (1, for tests)
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 * system_pause
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  * Abort the isntruments
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  * Stop the execution tasks
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 * system_restart
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  * Start a scheduling
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 * change_obs_conditions
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  * Change sequences status (if  needed)
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  * If some status changed, re-launch a scheduling
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}monitoring%
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h3. Purpose
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 * It is the only tasks launched at the system's start
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 * Make all the starting actions : instruments configuration, connection to the PLC, updating software versions, determine night start/end & start a scheduling
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 * Starts the alert_listener
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 * Infinite loop to regularly check the instruments and PLC status (and send them to the IC)
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 * Handles night start & end
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h3. Evolution
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 * Creating application
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    * See scheduler documentation above
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 * System to launch the task at the system's start
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 * Implement skeleton of task
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 * Implement starting actions (with some empty functions)
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 * Main loop to check PLC, instruments and night start / end (not finished)
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h3. Notes
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h3. TODO
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 * views
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  * Move the dashboard here
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  * Print the instrument status
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  * Print PLC informations (with the evolution)
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  * In the dashboard screens, put scroll on each screen to see the old logs
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 * Monitoring task
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  * Uncomment the scheduling at the beginning
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  * Implement night start/end computation
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  * Initialize communication with the instruments
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  * Configure intruments at start
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  * Send software versions to the IC
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  * Initialize connection with PLC
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  * After the starting actions, loop to wait for the instruments configuration to be finished
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  * Ask PLC for status
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  * Ask filter wheel for status
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  * Store the instruments & PLC status
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  * Send all status to IC
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  * Analyse PLC status (obs conditions, ...)
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  * Create tasks of obs condition changes
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}observation_manager%
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h3. Purpose
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 * Give orders the instruments to execute the plans
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 * Take the calibration images and computes the 'super' calibration images
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h3. Evolution
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 * Creating application
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    * See scheduler documentation above
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 * Created the tasks : execute_plan_(nir/vis) & create_calibrations
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 * Implemented the execute_plan tasks with some incomplete functions
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h3. Notes
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h3. TODO
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 * execute_plan :
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  * Use the cameras at a global level instead of creating them here (same for the filter wheels)
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  * Uncomment the instruments_ready waiting function
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  * Uncomment the observation_ending waiting function
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  * Try to remove code duplication
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  * Determine what needs to be done at the end of an observation
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 * create_calibrations :
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  * Make the calibration images
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  * Generate super images
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  * Send them to the IC
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}routine_manager%
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h3. Purpose
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 * Enables astronomers to create routines via the website
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 * Import / export of routines (XML)
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 * Display observation results for routines
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h3. Evolution
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 * Creating application
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    * See scheduler documentation above
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 * Created forms online for routine creation
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 * Added import / export
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 * Added routine submit / unsubmit
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h3. Tests
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 * Import fake file
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 * Import invalid file
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 * Import good file
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 * Export incomplete
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 * Export valid
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h3. Notes
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h3. TODO
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 * Web
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  * Put the goods fields (for coordinates etc)
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  * Only propose the objects that matches the conditions (ex: scientific programs of the user only)
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  * Do all the needed checks
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  * Add automatic computation of JD1/JD2
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  * Add checkbox for JD / GD
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  * Add options : copy my sequence on x days, and authorise report
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  * Add ETC-IS simulation
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  * Add help for new users (and for it the first time an account come on the page)
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 * Do more checks at unserialization
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 * views
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  * When saving, do more checks on coordinates, jd1/2 etc
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  * Uncomment filter for alerts removing
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  * When submitting, use the monitoring to determine sequences status
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  * When submitting, modify the first_schedule to False, when scheduling
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  * When unsubmitting, uncomment the check for EXED and EXING removing
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  * When unsubmitting, uncomment the scheduling and change the first_schedule to False
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}user_manager%
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h3. Purpose
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 * Handle user create / delete / login / logout
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 * Allow to see user profile and make password recovery
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h3. Evolution
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 * Creating application
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    * See scheduler documentation above
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 * Taking and adapting templates from Alexandru project
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 * User creation
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  * Form in admin.py
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  * Functions to verify if email doesn't exist and if passwords match
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  * Added check to pass login page if user is already autheticated
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  * Restricted access to all pyros views to authenticated users (except from user creation and login) with @login_required
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h3. Tests
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 * Creation
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 * Login
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 * wrong email
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 * wrong password
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 * logout
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h3. Notes
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h3. TODO
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 * Password recovery
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 * Profile page
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 * User validation by administrator / commission
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 * Handle permissions and access
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---
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h2. %{margin-left:0px; font-weight:bold; font-size:25px;  display:block; color:red;}common%
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h3. Purpose
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 * Regroups common data and functions shared by applications
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h3. Content
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 * RequestBuilder - class to build and save in DB the requests
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  * You can start a request, then add sequences, albums and plans, given their parent class (ex: you need to give a sequence id to create an album)
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  * Each function returns the ID of the element it created (to give it to the children classes)
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  * To save a request, you need to use validate_request
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 * Device and children
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  * Implementation of devices communication, messages and initialization
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  * All classes inherit from the Device class
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  * All classes re-implement the list of messages
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h3. Tests
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 * Test the creation of a full request by the RequestBuilder
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h3. Notes
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 * Will probably contain the DB models at last ...
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h3. TODO
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 * Network communication for every instrument
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 * Change the 'first_schedule' to False at the end of RequestBuilder.validate()