WestsideDiceghost/Liga-System
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base: WestsideDiceghost:a262088e00b9c882f9e6e0d829f7c0e6145724d2
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WestsideDiceghost:master

3 Commits
a262088e00 ... 8aab21eb59

Author SHA1 Message Date
Daniel Nagel
8aab21eb59 Merge branch 'dev' of 192.168.0.105:WestsideDiceghost/Liga-System into dev 2026-03-20 10:24:09 +00:00
Daniel Nagel
46eee731dc Tzeench Regel und Point Inflation angepasst. 2026-03-20 10:18:34 +00:00
Daniel Nagel
6855f87d02 Tzeench Regel eingebunden. Point Inflation auf 0.8 geändert. 2026-03-20 10:17:29 +00:00
3 changed files with 15 additions and 12 deletions
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2
.nicegui/storage-user-21d6fdd4-43d2-4625-8dc2-9282b6aa433f.json
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@ -1 +1 @@
{"authenticated":true,"discord_id":"277898241750859776","discord_name":"mrteels","db_id":2,"display_name":"DN","discord_avatar_url":"https://cdn.discordapp.com/avatars/277898241750859776/7c3446bb51fafd72b1b4c21124b4994f.png"} {"authenticated":true,"discord_id":"277898241750859776","discord_name":"mrteels","db_id":2,"display_name":"Verwirrter Klebschnüffler","discord_avatar_url":"https://cdn.discordapp.com/avatars/277898241750859776/7c3446bb51fafd72b1b4c21124b4994f.png"}

13
match_calculations/calc_match.py
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@ -5,8 +5,8 @@ import os
from wood import logger from wood import logger
point_inflation = 0.7 # => entspricht % point_inflation = 0.8 # => entspricht %
K_FACTOR = 30 # Die "Border" (Maximalpunkte) die ein Sieg gibt. K_FACTOR = 40 # Die "Border" (Maximalpunkte) die ein Sieg gibt.
# Mach die DB abfrage für die Relevanten Daten. Von hier aus werden die "Aufgaben" und Daten dann an die kleineren Berechnungs Funktionen verteilt. # Mach die DB abfrage für die Relevanten Daten. Von hier aus werden die "Aufgaben" und Daten dann an die kleineren Berechnungs Funktionen verteilt.
def calculate_match (match_id): def calculate_match (match_id):
@ -62,8 +62,8 @@ def calculate_match (match_id):
l_base = int(base_change*point_inflation) l_base = int(base_change*point_inflation)
l_khorne = int(calculation.wrath_of_khorne(looser_id, system_id)) l_khorne = int(calculation.wrath_of_khorne(looser_id, system_id))
slaanesh = int(calculation.slaanesh_delight()) slaanesh = calculation.slaanesh_delight()
tzeentch = int(calculation.tzeentch_scemes(system_id, winner_score, looser_score)) tzeentch = calculation.tzeentch_schemes(system_id, winner_score, looser_score)
# ========================================== # ==========================================
# 3. Daten Verpacken # 3. Daten Verpacken
@ -93,9 +93,8 @@ def calculate_match (match_id):
} }
} }
logger.log("MATCH CALC", f"Match{match_id} berechnet.") logger.log(f"calc_match ID:{match_id}", f"Winner {data_api.get_player_name(winner_id)}: Base {w_base} + Khorne({w_khorne}) + Slaanesh({slaanesh}) + Tzeentch({tzeentch}) = {calc_results[winner_id]["total"]}")
logger.log("MATCH CALC", f"Winner {data_api.get_player_name(winner_id)}: Base {w_base} + Khorne {w_khorne} + Slaanesh {slaanesh} + Tzeentch {tzeentch}") logger.log(f"calc_match ID:{match_id}", f"Looser {data_api.get_player_name(looser_id)}: -Base({l_base}) + Khorne({l_khorne}) - Slaanesh({slaanesh}) - Tzeentch({tzeentch}) = {calc_results[looser_id]["total"]}")
logger.log("MATCH CALC", f"Looser {data_api.get_player_name(looser_id)}: Base {l_base} + Khorne {l_khorne} - Slaanesh {slaanesh} - Tzeentch {tzeentch}")
data_api.save_calculated_match(calc_results) data_api.save_calculated_match(calc_results)

12
match_calculations/calculation.py
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@ -67,11 +67,15 @@ def wrath_of_khorne(player_id, system_id):
def slaanesh_delight(): def slaanesh_delight():
return 0 return 0
def tzeentch_scemes(system_id, winner_score, looser_score):
def tzeentch_schemes(system_id, winner_score, looser_score):
sys_data = data_api.get_gamesystem_data(system_id) sys_data = data_api.get_gamesystem_data(system_id)
min_score = sys_data["min_score"]
max_score = sys_data["max_score"] max_score = sys_data["max_score"]
bonus = int(((max_score*(winner_score-looser_score)))/(max_score*1.1)) #Multiplikatiionsfaktor für die Berechnung. diff_normalized = (winner_score - looser_score) / max_score # 0.0 – 1.0
threshold = 0.1 # Bonus startet erst ab 10% Vorsprung
return 0 bonus = int(max(0, diff_normalized - threshold) * 10) # Ergibt 0–9
bonus = min(bonus, 9) # Sicherheits-Cap
return bonus