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Diffstat (limited to 'augment.py')
| -rw-r--r-- | augment.py | 194 |
1 files changed, 194 insertions, 0 deletions
diff --git a/augment.py b/augment.py new file mode 100644 index 0000000..d96d511 --- /dev/null +++ b/augment.py | |||
| @@ -0,0 +1,194 @@ | |||
| 1 | import json | ||
| 2 | from pprint import pprint | ||
| 3 | from random import randrange, randint | ||
| 4 | |||
| 5 | league_count = 4 | ||
| 6 | tabelle = [] | ||
| 7 | |||
| 8 | with open('data.json') as f: | ||
| 9 | data = json.load(f) | ||
| 10 | |||
| 11 | ident = 0 | ||
| 12 | for o in data["orte"]: | ||
| 13 | o["id"] = ident | ||
| 14 | o["raucher"] = not randrange(2) | ||
| 15 | o["teams"] = [] | ||
| 16 | ident += 1 | ||
| 17 | |||
| 18 | ident = 0 | ||
| 19 | for t in data["teams"]: | ||
| 20 | |||
| 21 | t["id"] = ident | ||
| 22 | t["tag"] = randrange(7) | ||
| 23 | t["liga"] = randrange(league_count) | ||
| 24 | t["nichtraucher"] = not randrange(4) | ||
| 25 | |||
| 26 | team_nr = t["nichtraucher"] | ||
| 27 | |||
| 28 | found = False | ||
| 29 | while not found: | ||
| 30 | heimort = randrange(len(data["orte"])) | ||
| 31 | ersatzort = randrange(len(data["orte"])) | ||
| 32 | |||
| 33 | if data["orte"][ersatzort]["raucher"]: | ||
| 34 | continue | ||
| 35 | |||
| 36 | ort_nr = not data["orte"][heimort]["raucher"] | ||
| 37 | |||
| 38 | if team_nr != ort_nr: | ||
| 39 | continue | ||
| 40 | |||
| 41 | if team_nr: | ||
| 42 | ersatzort = -1 | ||
| 43 | |||
| 44 | found = True | ||
| 45 | |||
| 46 | t["ersatzort"] = ersatzort | ||
| 47 | t["heimort"] = heimort | ||
| 48 | data["orte"][heimort]["teams"].append(ident) | ||
| 49 | |||
| 50 | ident += 1 | ||
| 51 | |||
| 52 | # Count necessary spieltage | ||
| 53 | max_spieltage = 0 | ||
| 54 | for league in range(league_count): | ||
| 55 | pairings_count = len([t for t in data["teams"] if t["liga"] == league]) | ||
| 56 | if pairings_count % 2: | ||
| 57 | pairings_count += 1 | ||
| 58 | max_spieltage = max(2 * (pairings_count - 1), max_spieltage); | ||
| 59 | |||
| 60 | print( "Max Spieltage: ", max_spieltage) | ||
| 61 | |||
| 62 | # Fill Tabelle with our demo data | ||
| 63 | ident = 0 | ||
| 64 | for league in range(league_count): | ||
| 65 | league_teams = [t for t in data["teams"] if t["liga"] == league] | ||
| 66 | |||
| 67 | for team_a in league_teams: | ||
| 68 | game_count = 0 | ||
| 69 | |||
| 70 | for team_b in league_teams: | ||
| 71 | if team_a["id"] == team_b["id"]: continue | ||
| 72 | |||
| 73 | # If Heimspiel-Team is smokers and the Gastteam is not, the alternative | ||
| 74 | # location needs to be chosen | ||
| 75 | ort = next((ort for ort in data["orte"] if ort["id"] == team_a["heimort"]), None) | ||
| 76 | if team_b["nichtraucher"] and ort["raucher"]: | ||
| 77 | ort = next((ort for ort in data["orte"] if ort["id"] == team_a["ersatzort"]), None) | ||
| 78 | |||
| 79 | tabelle.append({"team_a": team_a["id"], "team_b": team_b["id"], "liga": league, "ort": ort["id"], "tag": team_a["tag"], "id": ident}) | ||
| 80 | ident += 1 | ||
| 81 | game_count += 1 | ||
| 82 | |||
| 83 | while game_count < max_spieltage / 2: | ||
| 84 | tabelle.append({"team_a": team_a["id"], "team_b": -1, "liga": league, "ort": -1, "tag": -1, "id": ident}) | ||
| 85 | ident += 1 | ||
| 86 | tabelle.append({"team_a": -1, "team_b": team_a["id"], "liga": league, "ort": -1, "tag": -1, "id": ident}) | ||
| 87 | ident += 1 | ||
| 88 | game_count += 1 | ||
| 89 | |||
| 90 | rueckrundenstart = max_spieltage // 2 | ||
| 91 | |||
| 92 | from ortools.sat.python import cp_model | ||
| 93 | model = cp_model.CpModel() | ||
| 94 | |||
| 95 | variables = {game["id"]: model.new_int_var(0, max_spieltage - 1, f"game{game['id']}") for game in tabelle} | ||
| 96 | |||
| 97 | # Make sure each team only plays once each spieltag | ||
| 98 | for team in data["teams"]: | ||
| 99 | # team_games = [game["id"] for game in tabelle if game["team_a"] == team["id"] or game["team_b"] == team["id"]] | ||
| 100 | # print (len(team_games), team_games, team) | ||
| 101 | model.add_all_different([variables[game["id"]] for game in tabelle if game["team_a"] == team["id"] or game["team_b"] == team["id"]]) | ||
| 102 | |||
| 103 | # Make sure each ort is only used once per spieltag+week | ||
| 104 | for ort in data["orte"]: | ||
| 105 | ort_games = [game for game in tabelle if game["ort"] == ort["id"]] | ||
| 106 | for tag in list({game["tag"] for game in ort_games}): | ||
| 107 | model.add_all_different([variables[game["id"]] for game in ort_games if game["tag"] == tag ]) | ||
| 108 | |||
| 109 | # Make sure that Rueckrundenspiele only happen at Rueckrunde | ||
| 110 | for game in tabelle: | ||
| 111 | # Don't force this constraint on wildcard games | ||
| 112 | if game["ort"] == -1: continue | ||
| 113 | |||
| 114 | # Find Rueckspiel | ||
| 115 | rueckspiel = next((candidate for candidate in tabelle if candidate["team_a"] == game["team_b"] and candidate["team_b"] == game["team_a"]), None) | ||
| 116 | |||
| 117 | va = variables[game["id"]] | ||
| 118 | vb = variables[rueckspiel["id"]] | ||
| 119 | |||
| 120 | runde_a = model.new_int_var(0, 1, "tmpa") | ||
| 121 | runde_b = model.new_int_var(0, 1, "tmpb") | ||
| 122 | |||
| 123 | model.add_division_equality(runde_a, va, rueckrundenstart) | ||
| 124 | model.add_division_equality(runde_b, vb, rueckrundenstart) | ||
| 125 | model.add(runde_a != runde_b) | ||
| 126 | |||
| 127 | # Make sure that Heimspiele and Gastspiele alternate | ||
| 128 | violations = [] | ||
| 129 | for team in data["teams"]: | ||
| 130 | heimspiele = [candidate for candidate in tabelle if candidate["team_a"] == team["id"] ] | ||
| 131 | |||
| 132 | for heimspiel in heimspiele: | ||
| 133 | for conflict in heimspiele: | ||
| 134 | if heimspiel["id"] == conflict["id"]: continue | ||
| 135 | |||
| 136 | va = variables[heimspiel["id"]] | ||
| 137 | vb = variables[conflict["id"]] | ||
| 138 | |||
| 139 | tmpdiff_a = model.new_int_var(-max_spieltage, max_spieltage, "tmpa") | ||
| 140 | tmpdiff_b = model.new_int_var(-max_spieltage, max_spieltage, "tmpb") | ||
| 141 | |||
| 142 | model.add(tmpdiff_a == va - vb) | ||
| 143 | model.add(tmpdiff_b == vb - va) | ||
| 144 | |||
| 145 | tmpconsequtive_a = model.new_bool_var("tmpa") | ||
| 146 | tmpconsequtive_b = model.new_bool_var("tmpb") | ||
| 147 | |||
| 148 | model.add(tmpdiff_a == 1).only_enforce_if(tmpconsequtive_a) | ||
| 149 | model.add(tmpdiff_a != 1).only_enforce_if(tmpconsequtive_a.Not()) | ||
| 150 | |||
| 151 | model.add(tmpdiff_b == 1).only_enforce_if(tmpconsequtive_b) | ||
| 152 | model.add(tmpdiff_b != 1).only_enforce_if(tmpconsequtive_b.Not()) | ||
| 153 | |||
| 154 | is_consecutive = model.new_bool_var('is_consecutive') | ||
| 155 | |||
| 156 | model.add_bool_or([tmpconsequtive_a, tmpconsequtive_b]).OnlyEnforceIf(is_consecutive) | ||
| 157 | model.add_bool_and([tmpconsequtive_a.Not(), tmpconsequtive_b.Not()]).OnlyEnforceIf(is_consecutive.Not()) | ||
| 158 | |||
| 159 | violations.append(is_consecutive) | ||
| 160 | |||
| 161 | model.minimize(sum(violations)) | ||
| 162 | |||
| 163 | print ("All set, solving") | ||
| 164 | |||
| 165 | solver = cp_model.CpSolver() | ||
| 166 | solver.parameters.max_time_in_seconds = 30.0 | ||
| 167 | solver.parameters.random_seed = randint(0, 1_000_000) | ||
| 168 | status = solver.solve(model) | ||
| 169 | print(status, solver.status_name()) | ||
| 170 | |||
| 171 | from sys import exit | ||
| 172 | if status == cp_model.INFEASIBLE: | ||
| 173 | exit(-1) | ||
| 174 | |||
| 175 | for game in tabelle: | ||
| 176 | game["spieltag"] = solver.value(variables[game["id"]]) | ||
| 177 | |||
| 178 | # tabelle.sort(key=lambda game: game["spieltag"]) | ||
| 179 | |||
| 180 | # PRINT OUT RESULTS AS TABLE | ||
| 181 | all_teams = {team["id"]: team for team in data["teams"]} | ||
| 182 | all_teams[-1] = {"name": "*"} | ||
| 183 | all_orte = {ort["id"]: ort for ort in data["orte"]} | ||
| 184 | all_orte[-1] = {"name": "*"} | ||
| 185 | |||
| 186 | for league in range(league_count): | ||
| 187 | league_tabelle = [game for game in tabelle if game["liga"] == league] | ||
| 188 | league_tabelle.sort(key=lambda game: game["spieltag"]) | ||
| 189 | |||
| 190 | for game in league_tabelle: | ||
| 191 | print(game["spieltag"], all_teams[game["team_a"]]["name"], "::", all_teams[game["team_b"]]["name"], "::", all_orte[game["ort"]]["name"]) | ||
| 192 | |||
| 193 | #print( json.dumps(data)) | ||
| 194 | #print( json.dumps(tabelle)) | ||
