nyalialui / pal Goto Github PK

We need to create user authentication on front end and also associate each match with a unique query-able token.

We already have an AWS instance we're using from an old project. let's use that to run our PAL mongo and frontend server so that way we don't have to invoke 3 CMDs on local machine.

See if we can differentiate between replays from ranked and unranked games.
If so, create an option to filter unranked out.

Will use flask for this prototype. Simple create the html/css templates

• create homepage (/mhistory). It only needs to show a sample record with links to other pages
• create /mhistory/pname/. It only needs to print the name to console for now
• create /mhistory/map/. It only needs to print the name to console for now
• create /mhistory/date/. It only needs to print the timestamp to console for now

We also need to incorporate the SSO ability to the desktop application.

Since Python 2.7 is reaching EOL Jan. 1 2020, I need to make sure PAL works with python 3. I'm using the latest version python 3.8

We need to be able to collect necessary data on the local machine. We'll do this through the replay files and s2protocol.

also show the race the opponent played as in that match on the web

• remove any sensitive information (even though the data will still be in the commit history)
• fix any typos

Enable replay upload on website. This way users at LANs can just upload the replays instead of needing to run the desktop client on their own machine.

• [frontend] create upload button html/css/handlebars
• [backend] capture replay file in expressjs
• [backend] run python script to extract replay data

Integrate MongoDB into our application. For now, we will use mongo on a local machine.

We're going to use PyQt to create our desktop client. This way it'll be easier to port to C++ when we eventually create the C++ version

Now we visualize the data. This may be a combination of post-processing the data from mongo documents in python and additional processing in JS on the actual templates.

We need to incorporate user profiles to the system. So first lets enable this on the front end with passportjs. We may also need to create a Player's Database to keep track of player profiles.

• while PAL is still connecting to MongoDB, show a loading icon. perhaps a gif?
• When PAL is running, show the running screen that shows the collected metric values for the current session. so ...
  • have a home screen that shows your record from current season: general W/L, W/L per race, W/L per map.
  • after every update to the replay folder show the opponent name, W/L record versus that opponent in the season, W/L record versus that opponent per map. After the update is finished, go back to the home screen.

Connect frontend routes to mongodb. Whenever user navigates to a route, simply print a sample record to console or web page

We want to use ElectronJS instead of PyQT. We will have an easier time installing apps on desktop with ElectronJS since we won't need to worry about freezing the python application. This will require that we make s2protocol and MPYQ compatible with JavaScript or just simply call the python apps within JS for this prototype.

We got the prototype setup with flaskapp but I would rather use node-express-handlebars because it'll be easier to handle login with JS. Plus, mongo is initially designed for JS not python and we're started to see some limitations with PyMongo such as converting PyMongo.Cursor to dict requires Mongo Docs to be loaded into memory first.