pyltd2 1.0.0rc0

Client package for the download of Legion TD 2 game data.

pyltd2

Client package for the download of Legion TD 2 game data.

Data structure

The object stores the data into five separate objects, regarding separate information about each match:

1. The fighters the player built during each wave and their position

   (_id, playerId, wave, fighter, x, y, seq_num)
2. The actions (Placed/Sold/Upgraded) the player made during each wave (alternative to the previous one, makes the file smaller but requires re-building the data)

   (_id, playerId, wave, fighter, x, y, action, seq_num)
3. The fighters the player had

   (_id, playerId, fighter_1, fighter_2, ..., fighter_30)
4. The king's hp at the end of the wave

   (_id, wave, left_hp, right_hp)
5. The king's upgrades bought by each player during each wave

   (_id, playerId, wave, upgrade, seq_num)
6. The leaks a player had during each wave

   (_id, playerId, wave, unit, seq_num)
7. The match itself

   (_id, version, date, queueType, endingWave, gameLength, gameElo, playerCount, humanCount, kingSpell, side_won)
8. The mercenaries the player received or sent during a wave

   (_id, playerId, received, wave, mercenary, seq_num)
9. The party members of each match

   (_id, member_1, member_2, member_3, member_4, member_5, member_6, member_7, member_8)
10. The players of the match

    (_id, playerId, playerName, playerSlot, legion, workers, value, cross, overallElo, stayedUntilEnd, chosenSpell, partySize, legionSpecificElo, mvpScore, leekValue, leaksCaughtValue, leftAtSeconds)
11. The player's economy during each wave

    (_id, playerId, wave, workers, income, networth)
12. The spell upgrades available in the match

    (_id, choice_1, choice_2, choice_3)

Dependencies

pyltd2 requires:

• numpy ()>= 1.14.6)
• pandas (>= 1.4.3)
• tqdm (>= 4.64.0)

Examples

The following example shows how to get the details of the next 50 matches, starting from the first match played (2018-08-03T15:39:00Z) and returning the data as a DataFrame object.

fetcher = LTD2ApiFetcher("your_api_token")
fetcher.get(return_as_df=True)

The object uses the getMatchesByFilter API command to fetch a maximum of 50 matches, starting from the date_after datetime provided.

To download data for the period of time between date_after-date_before and save them to a csv file, you can use the ExhaustiveFetcher object. The following example downloads matches from 2018-08-03T15:39:00Z until 2019-12-25T22:03:40Z and saves the data to csv files inside the data folder.

from datetime import datetime
from data_acquisition import LTD2Fetcher, ExhaustiveFetcher

fetcher = LTD2Fetcher(
    "your_api_token", 
    date_after=datetime(2018, 8, 3, 15, 39, 00), 
    date_before=datetime(2019, 12, 25, 22, 3, 40)
)
api2csv = ExhaustiveFetcher("./data", fetcher=fetcher)
api2csv.start_fetching()

You can get your own api token by registering here.