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Frontend app visualize events and processes on map
Implement backend for full-text search.
May be use Sphinpx or ElasticSearch
Implement basic timeline #31
We need production server for our prototype.
We will use soal's Digital Ocean cloud.
Some links:
http://flask.pocoo.org/docs/0.10/deploying/
http://flask.pocoo.org/docs/0.10/patterns/fabric/
We need to map editor.
It should help us to create valid shapes for our historical regions and processes from various pictures.
Create RESTful api.
Implement searching on backend by names of events, georegions, historical regions and processes.
Create component for main menu on top of site.
Menu must contain:
User processes is dropdown menu block that contains:
Create base responsive layout.
We need to parse articles form Wikipedia, filter it and load to our DB.
For first prototype we need to pick some categories and periods (e.g. Russia, 1700-1914), filter it and map on our data structure.
We can get dump of all Wikipedia data (link),
and parse it locally.
Possibly use this parsers:
wikidump
wikipedia
Рисовать таймлайн.
Выводить на таймлайн даты.
Продумать взаимосвязь таймлайна и выбранного периода.
Register/Login/Validate
Roles for users
Добавлять и отображать шейпы на карте.
Разобраться:
Описать, засхемить и запилить базовую структуру компонентов.
We need some infrastructure for deployment on staging server.
Some links:
http://flask.pocoo.org/docs/0.10/deploying/
http://flask.pocoo.org/docs/0.10/patterns/fabric/
Our client app will send requests to our backend and we need to proxy this requests to OSM, maybe apply some processing and respond to client.
Proxy must be implemented as independent from base REST API module in our Python Flask application, so in future we can modify or replace it, for example, with our own map render application.
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