skillcorner-on-demand 0.1.13

Python client to interact with SkillCorner On Demand API

Getting Started

Installation

uv pip install skillcorner-on-demand

Credentials

You need to add in your environment your username and password with that you can access to the service, if you don't like this method follow the alternative

export SKILLCORNER_ON_DEMAND_USERNAME=[e-mail]
export SKILLCORNER_ON_DEMAND_PASSWORD=mysuperpassword

How to use it

You just need to instanciate the client like this

import os

from skillcorner_on_demand.client import SkillcornerOnDemandClient

USERNAME = os.getenv('SKILLCORNER_ON_DEMAND_USERNAME')
PASSWORD = os.getenv('SKILLCORNER_ON_DEMAND_PASSWORD')

client = SkillcornerOnDemandClient(USERNAME, PASSWORD)

Get Methods

Get All requests

response = client.get_all_requests()

With the reponse

"count": 6,
    "next": null,
    "previous": null,
    "results": {
        "matches": [
            {
                "id": 14,
                "status": "input_data",
                "tactical_data": [],
                "match": {
                    "id": 1429092,
                    "unique_name": "Match Name",
                    "date_time": "2024-02-10T13:00:00Z",
                },
                "is_matchsheet_csv_valid": true,
                "is_period_limits_csv_valid": true,
                "is_homeside_team_csv_valid": true,
                "is_video_uploaded": false
            },
            ...
        ]
    }

Get request by ID

or get just one request by his match ID

    client.get_request(match_id=1429095)

response

{
    "id": 6,
    "status": "processing",
    "tactical_data": [],
    "match": {
        "id": 1429095,
        "unique_name": "20240806_LOSC Lille_Fenerbahce",
        "date_time": "2024-08-06T18:30:00Z",
        "status": "not_started"
    },
    "is_matchsheet_csv_valid": true,
    "is_period_limits_csv_valid": true,
    "is_homeside_team_csv_valid": true,
    "is_video_uploaded": true
}

Upload methods

Matches List

response = client.upload_match_list(
    path="path/to/file.csv",
)

Period Limits

response = client.upload_period_limits(
    match_id=1429095,
    period_limits_path="path/to/file.csv",
)

response

{"message": "Information successfully added and uploaded to the request"}

Match Sheet

response = client.upload_match_sheet(
    match_id=1429095,
    match_sheet_path="path/to/file.csv",
)

response

{"message": "Information successfully added and uploaded to the request"}

Home Team Side

response = client.upload_home_team_side(
    match_id=1429095,
    home_team_side_path="path/to/file.csv",
)

response

{"message": "Information successfully added and uploaded to the request"}

Video

response = client.upload_match_video(
    match_id=1429095,
    video_path="path/to/file.mp4",
)

response

{"message": "Information successfully added and uploaded to the request"}

Update a file

To update a file you just need to call the upload method and pass the is_update=True parameter like this

response = client.upload_match_sheet(
    match_id=1429095,
    match_sheet_path="path/to/file.mp4",
    is_update=True
)

response

{"message": "Match Sheet successfully updated"}

CSV Validation

if some lineup information is not valid the API will return you a list of errors like these:

{
    "errors": [
        "Home team does not have 11 start players it has 10.",
        "Away team does not have 11 start players it has 12.",
        "Duplicate player id [133003] for the home team",
        "Player J. David has been subbed in for himself.",
        "Duplicate jersey number [53] for the away team",
        "Team home has duplicate positions ['RW'].",
        "Team away has duplicate positions ['RCB', 'LW']."
    ]
}

Start Processing a Match

To add the match to the process queue you need to call this method

response = client.launch_match(
    match_id=1429095,
)

Get the data of the match when the process is done

Data Collection

Get data collection of this match

response = client.get_data_collection(
    match_id=1429095,
)

response

{
    "match_id": 1429095,
    "status": "postmatch",
    "physical_last_modified": "2024-09-13T13:02:23.992345Z",
    "physical_v3_last_modified": null,
    "tracking_last_modified": "2024-09-13T12:59:43.067225Z",
    "tracking_extra_last_modified": "2024-09-13T12:59:43.067225Z",
    ...
}

Tracking

Get tracking data

Warning: This method can take a long time to complete because of the large file size.

response = client.get_tracking(
    match_id=1429095,
)

response

{
    "data": [],
    "possession": {
        "group": null,
        "trackable_object": null
        },
        "frame": 1,
        "image_corners_projection":
            [-29.886810706710552, 39.0, -9.262864149625193, -24.788953625823087, 8.817583207115144, -25.174142763841694, 32.730019680050475, 39.0],
        "timestamp": null,
        "period": null
}
...

Match data

Get all the information about the match

response = client.get_match_data(
    match_id=1429095,
)

response

{
    "id": 1429095,
    "home_team_score": 0,
    "away_team_score": 0,
    "date_time": "2024-08-25T20:45:00Z",
    "stadium": {
        "id": 1198,
        "name": "Subaru Park",
        "city": "Chester",
        "capacity": 18500
    },
    "home_team": {
        "id": 1503,
        "name": "Philadelphia Union",
        "short_name": "Philadelphia",
        "acronym": "PHI"
    },
    "home_team_kit": {
        "id": 3879,
        "team_id": 1503,
        "season": {
            "id": 8,
            "start_year": 2021,
            "end_year": 2022,
            "name": "2021/2022"
        },
        "name": "Home",
        "jersey_color": "#000000",
        "number_color": "#95a44c"
    },
    "away_team": {
        "id": 1499,
        "name": "Colorado Rapids",
        "short_name": "Colorado Rapids",
        "acronym": "COL"
    },
    "away_team_kit": {
        "id": 11169,
        "team_id": 1499,
        "season": {
            "id": 29,
            "start_year": 2024,
            "end_year": 2024,
            "name": "2024"
        },
        "name": "24/25",
        "jersey_color": "#5f9cdd",
        "number_color": "#0b3bcb"
    },
    "home_team_coach": null,
    "away_team_coach": null,
    ...
}

Physical

Get physical data for this match, pass csv in argument if you want to download data directly in csv

response = client.get_match_physical(
    match_id=1429095,
    csv=True
)

Dynamic Events

To get dynamic events, pass the file format wanted csv, sportscode-xml, matchtracker-xml or focus-json not other format can be handled. By default, a file with the chosen format will be created, but if you just want the data and not a file, you can pass the parameters, save=False

response = client.get_dynamic_events(
    match_id=1234567,
    file_format='csv' # among 'csv', 'sportscode-xml', 'matchtracker-xml' or 'focus-json'
    save=True # Default behavior 
)