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volnekurty's Introduction

For now all you need is Python 2 and Scrapy

TODO:

Scraper:

  • check if scapers are up to date and working
    • in case of not fix them
  • transfer to python3
  • dockerize reservation_scraper with scrapyd daemon
  • lear how to deploy code to the scrapyd docker container and solve scraper versioning probelm(mount or what).

Monitoring:

  • add to project docker image for prometheus and grafana
  • probably will use prometheus pushgateway so add image also
  • add to scrapers metrics pushing to gateway
    • probably create method wrapping scrapy.Request
    • create base class for scrapers to generalize metrics management
  • create dashboard in grafana

Database:

  • keep it webscale!!! no rly probaably will use MongoDB
  • (for now docker will do, no replication no sharding)
  • one table with sport centers
  • one table with upcoming dates where srapers will insert the new reservations
  • drop all records for actually scraped sport center and insert just the new ones (ideally remove just those that are newer than now so we can store the old ones)
  • figure out how to move older reservations for datamining (som job to transfer them to log_table for aggregation)
  • one table where the old reservations will be stored (for now unused but will do so baby doll will do so)

Backend:

  • do i need one? how about ReactJS accessing directly the MongoDB?
  • in case not i will need api to access DB data

Frontend:

  • figure out what technologies to use for frontend (probably ReactJS)
  • create simple visualization of data for testing (like rly.. do just fukken stupid table)
  • do some brainstorm about UI and some designs and than ask friends on opinion

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