pyke.models.champion_mastery_v4
1# generated by datamodel-codegen: 2# filename: schema.json 3# timestamp: 2025-10-19T17:24:31+00:00 4 5from __future__ import annotations 6 7from typing import Dict, List, Optional 8 9from pydantic import BaseModel, Field 10 11 12class RewardConfigDto(BaseModel): 13 """@public""" 14 15 reward_value: str = Field(..., alias="rewardValue", description="Reward value") 16 reward_type: str = Field(..., alias="rewardType", description="Reward type") 17 maximum_reward: int = Field( 18 ..., alias="maximumReward", description="Maximun reward" 19 ) 20 21 22class NextSeasonMilestonesDto(BaseModel): 23 """@public""" 24 25 require_grade_counts: Dict[str, int] = Field(..., alias="requireGradeCounts") 26 reward_marks: int = Field(..., alias="rewardMarks", description="Reward marks.") 27 bonus: bool = Field(..., description="Bonus.") 28 reward_config: Optional[RewardConfigDto] = Field( 29 None, alias="rewardConfig", description="Reward configuration." 30 ) 31 total_games_requires: int = Field(..., alias="totalGamesRequires") 32 33 34class ChampionMasteryDto(BaseModel): 35 """@public""" 36 37 puuid: str = Field( 38 ..., 39 description="Player Universal Unique Identifier. Exact length of 78 characters. (Encrypted)", 40 ) 41 champion_points_until_next_level: int = Field( 42 ..., 43 alias="championPointsUntilNextLevel", 44 description="Number of points needed to achieve next level. Zero if player reached maximum champion level for this champion.", 45 ) 46 chest_granted: Optional[bool] = Field( 47 None, 48 alias="chestGranted", 49 description="Is chest granted for this champion or not in current season.", 50 ) 51 champion_id: int = Field( 52 ..., alias="championId", description="Champion ID for this entry." 53 ) 54 last_play_time: int = Field( 55 ..., 56 alias="lastPlayTime", 57 description="Last time this champion was played by this player - in Unix milliseconds time format.", 58 ) 59 champion_level: int = Field( 60 ..., 61 alias="championLevel", 62 description="Champion level for specified player and champion combination.", 63 ) 64 champion_points: int = Field( 65 ..., 66 alias="championPoints", 67 description="Total number of champion points for this player and champion combination - they are used to determine championLevel.", 68 ) 69 champion_points_since_last_level: int = Field( 70 ..., 71 alias="championPointsSinceLastLevel", 72 description="Number of points earned since current level has been achieved.", 73 ) 74 mark_required_for_next_level: int = Field(..., alias="markRequiredForNextLevel") 75 champion_season_milestone: int = Field(..., alias="championSeasonMilestone") 76 next_season_milestone: NextSeasonMilestonesDto = Field( 77 ..., alias="nextSeasonMilestone" 78 ) 79 tokens_earned: int = Field( 80 ..., 81 alias="tokensEarned", 82 description="The token earned for this champion at the current championLevel. When the championLevel is advanced the tokensEarned resets to 0.", 83 ) 84 milestone_grades: Optional[List[str]] = Field(None, alias="milestoneGrades")
class
RewardConfigDto(pydantic.main.BaseModel):
13class RewardConfigDto(BaseModel): 14 """@public""" 15 16 reward_value: str = Field(..., alias="rewardValue", description="Reward value") 17 reward_type: str = Field(..., alias="rewardType", description="Reward type") 18 maximum_reward: int = Field( 19 ..., alias="maximumReward", description="Maximun reward" 20 )
class
NextSeasonMilestonesDto(pydantic.main.BaseModel):
23class NextSeasonMilestonesDto(BaseModel): 24 """@public""" 25 26 require_grade_counts: Dict[str, int] = Field(..., alias="requireGradeCounts") 27 reward_marks: int = Field(..., alias="rewardMarks", description="Reward marks.") 28 bonus: bool = Field(..., description="Bonus.") 29 reward_config: Optional[RewardConfigDto] = Field( 30 None, alias="rewardConfig", description="Reward configuration." 31 ) 32 total_games_requires: int = Field(..., alias="totalGamesRequires")
reward_config: Optional[RewardConfigDto]
class
ChampionMasteryDto(pydantic.main.BaseModel):
35class ChampionMasteryDto(BaseModel): 36 """@public""" 37 38 puuid: str = Field( 39 ..., 40 description="Player Universal Unique Identifier. Exact length of 78 characters. (Encrypted)", 41 ) 42 champion_points_until_next_level: int = Field( 43 ..., 44 alias="championPointsUntilNextLevel", 45 description="Number of points needed to achieve next level. Zero if player reached maximum champion level for this champion.", 46 ) 47 chest_granted: Optional[bool] = Field( 48 None, 49 alias="chestGranted", 50 description="Is chest granted for this champion or not in current season.", 51 ) 52 champion_id: int = Field( 53 ..., alias="championId", description="Champion ID for this entry." 54 ) 55 last_play_time: int = Field( 56 ..., 57 alias="lastPlayTime", 58 description="Last time this champion was played by this player - in Unix milliseconds time format.", 59 ) 60 champion_level: int = Field( 61 ..., 62 alias="championLevel", 63 description="Champion level for specified player and champion combination.", 64 ) 65 champion_points: int = Field( 66 ..., 67 alias="championPoints", 68 description="Total number of champion points for this player and champion combination - they are used to determine championLevel.", 69 ) 70 champion_points_since_last_level: int = Field( 71 ..., 72 alias="championPointsSinceLastLevel", 73 description="Number of points earned since current level has been achieved.", 74 ) 75 mark_required_for_next_level: int = Field(..., alias="markRequiredForNextLevel") 76 champion_season_milestone: int = Field(..., alias="championSeasonMilestone") 77 next_season_milestone: NextSeasonMilestonesDto = Field( 78 ..., alias="nextSeasonMilestone" 79 ) 80 tokens_earned: int = Field( 81 ..., 82 alias="tokensEarned", 83 description="The token earned for this champion at the current championLevel. When the championLevel is advanced the tokensEarned resets to 0.", 84 ) 85 milestone_grades: Optional[List[str]] = Field(None, alias="milestoneGrades")
next_season_milestone: NextSeasonMilestonesDto