falcon-alliance 1.0.0

A Pythonic library that attains FRC-related information from sources like The Blue Alliance and more.

FalconAlliance

A Pythonic wrapper around TBA and other FRC data sources at your convenience. You can find the documentation here.

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Installation

To install falcon-alliance, run the following in your console:

(.venv) $ pip install falcon-alliance

If the following doesn't work, and you get an error regarding pip not being a command, try one of the following below:

(.venv) $ python -m pip install falcon-alliance

(.venv) $ python3 -m pip install falcon-alliance

(.venv) $ python3.<your_version> -m pip install falcon-alliance

Setup

Once you have falcon-alliance installed, a basic skeleton of FalconAlliance code is

import falcon_alliance

with falcon_alliance.ApiClient(api_key=YOUR_API_KEY) as api_client:
  # Code using the API client here

^{For more information about the building block of FalconAlliance code, check out this section of our documentation.}

Do note that passing in the API key is not required if the API key is already stored in your .env file under the name TBA_API_KEY or API_KEY.

As for the code within the context manager (the with statement), below is an example of retrieving a list of all the teams that played in 2022 via FalconAlliance:

import falcon_alliance

with falcon_alliance.ApiClient(api_key=YOUR_API_KEY) as api_client:
  all_teams = api_client.teams(year=2022)

^{For more examples with the building block, check out the Common Tasks section and the Examples section.}

Structure

The structure of FalconAlliance code follows a hierarchy, with ApiClient being at the top, containing agnostic methods like getting a list of all teams from a certain year, a list of all events from a certain year, etc.

In the middle of the hierarchy are schemas with methods in them, containing endpoints depending on a certain team/event/district. Team, Event, and District, which wrap around endpoints that depend on a certain key (team key/event key/district key). An example of a method for each of the following classes are:

• Team.events, which wraps around the /team/{team_key}/events endpoint.
• Event.teams, which wraps around the /event/{event_key}/teams endpoint.
• District.rankings, which wraps around the /district/{district_key}/rankings endpoint.

At the bottom of the hierarchy are schemas which primarily act as data-classes, and are there as a means of communicating data in a readable format rather than having functionality. The classes at the bottom of the hierarchy are: Award, EventTeamStatus, Match, Media, and Robot.

Plotting

FalconAlliance has a plotting feature that makes on-the-fly visualizations for you based on your data. You can learn more about the plotting feature here.

Examples

Creating a Dictionary Containing how many Teams each State has

import falcon_alliance

states_to_teams = {}

with falcon_alliance.ApiClient(api_key=YOUR_API_KEY) as api_client:
   all_teams = api_client.teams(year=2022)

   for team in all_teams:
       states_to_teams[team.state_prov] = states_to_teams.get(team.state_prov, 0) + 1

Getting the Average Rookie Year of Teams in a District

import falcon_alliance

with falcon_alliance.ApiClient(api_key=YOUR_API_KEY) as api_client:
    team4099 = falcon_alliance.Team(4099)

    # Suggested way
    match_with_max_score = team4099.max(2022, metric=falcon_alliance.Metrics.MATCH_SCORE)
    maximum_score = match_with_max_score.alliance_of(team4099).score

    # Alternative way
    match_scores = []

    for match in team4099.matches(year=2022):
        match_scores.append(match.alliance_of(team4099).score)

    maximum_match_score = max(match_scores)

Finding the Maximum Score from all the Matches a Team Played During a Year

import falcon_alliance

with falcon_alliance.ApiClient(api_key=YOUR_API_KEY) as api_client:
    team4099 = falcon_alliance.Team(4099)

    # Suggested way
    match_with_max_score = team4099.max(2022, metric=falcon_alliance.Metrics.MATCH_SCORE)
    maximum_score = match_with_max_score.alliance_of(team4099).score

    # Alternative way
    match_scores = []

    for match in team4099.matches(year=2022):
        match_scores.append(match.alliance_of(team4099).score)

    maximum_match_score = max(match_scores)

More examples are listed on the documentation here.