def supply_and_demand(the_world):
city_dict = the_world.live_cities()
team_dict = the_world.active_teams()
the_world.mass_get_team_techs()
the_world.mass_get_team_deities()
the_world.mass_get_team_evolutions()
# Randomise city production type
random.seed()
r = -1
for k, v in city_dict.items():
r += 1
if r >= len(sad_rules.res_list): r = 0
v.supply_good = r
# v.supply_good = random.randrange(0, len(sad_rules.res_list))
# Build a cache of taxes and borders
the_world.tax_cache = {}
# the_world.border_cache = {}
for t1 in team_dict.keys():
for t2 in team_dict.keys():
if t1 == t2:
the_world.tax_cache[(t1, t2)] = 0
else:
the_world.tax_cache[(t1, t2)] = the_world.get_taxes(t1, t2)
# the_world.border_cache[(t1, t2)] = the_world.get_border(t1, t2)
# Build a distance cache, K1 going to K2
the_world.distance_cache = {}
for k1, c1 in city_dict.items():
for k2, c2 in city_dict.items():
if k1 == k2:
the_world.distance_cache[(k1, k2)] = 0
else:
if k2 in c1.connections:
the_world.distance_cache[(k1, k2)] = (1 + (sad_rules.distance_percentage * c1.connections[k2]/100))
# Total, Min, Max
production = {r:[0, 9999, -9999] for r in sad_rules.res_list}
demand = {r:[0, 9999, -9999] for r in sad_rules.res_list}
wealth = [0, 9999, -9999]
city_count = len(city_dict.keys())
city_size = sum([c.size for i, c in city_dict.items()])/city_count
# First work out demand
for city_id, the_city in city_dict.items():
sad_rules.produce_wealth(the_world, the_city)
wealth[0] += the_city.wealth
wealth[1] = min(wealth[1], the_city.wealth)
wealth[2] = max(wealth[2], the_city.wealth)
the_city.satisfied = False
for r in sad_rules.res_list:
d = sad_rules.demand[r](the_world, the_city, the_world._teams[the_city.team])
demand[r][0] += d
demand[r][1] = min(d, demand[r][1])
demand[r][2] = max(d, demand[r][2])
the_city.goods[r] = -d
if the_city.goods["Linen"] > the_city.goods["Wool"]:
the_city.wool_is_nice = True
city_supply = sad_rules.res_list[the_city.supply_good]
p = sad_rules.supply[city_supply](the_world, the_city, the_world._teams[the_city.team])
production[city_supply][0] += p
production[city_supply][1] = min(p, production[city_supply][1])
production[city_supply][2] = max(p, production[city_supply][2])
the_city.goods[city_supply] += p
# print(sad_rules.supply["Grain"](the_city, the_world._teams[the_city.team].tech_levels), sad_rules.demand["Grain"](the_city, the_world._teams[the_city.team].tech_levels))
pre_report = generate_sad_pre_report(the_world)
# Now begin to satisfy it
satisfied = False
batches = 0
while not satisfied:
sad_batch(the_world)
satisfied = True
for city_id, the_city in city_dict.items():
if not the_city.satisfied and the_city.wealth > 0:
satisfied = False
# Force a breakout
batches += 1
config['hops'] = min(config['hops'] + 1, config['max hops'])
if batches > config['batches']:
satisfied = True
post_report = generate_sad_post_report(the_world)
# print(pre_report['res_surplus']['Grain'])
return {
"pre": pre_report,
"post": post_report,
"production": production,
"demand": demand,
"wealth": wealth,
}
def supply_and_demand(the_world):
city_dict = the_world.live_cities()
team_dict = the_world.active_teams()
the_world.mass_get_team_techs()
the_world.mass_get_team_deities()
the_world.mass_get_team_evolutions()
# Randomise city production type
random.seed()
r = -1
for k, v in city_dict.items():
r += 1
if r >= len(sad_rules.res_list):
r = 0
v.supply_good = r
# v.supply_good = random.randrange(0, len(sad_rules.res_list))
# Total, Min, Max
production = {r: [0, 9999, -9999] for r in sad_rules.res_list}
demand = {r: [0, 9999, -9999] for r in sad_rules.res_list}
wealth = [0, 9999, -9999]
city_count = len(city_dict.keys())
city_size = sum([c.size for i, c in city_dict.items()]) / city_count
# First work out demand
for city_id, the_city in city_dict.items():
sad_rules.produce_wealth(the_world, the_city)
wealth[0] += the_city.wealth
wealth[1] = min(wealth[1], the_city.wealth)
wealth[2] = max(wealth[2], the_city.wealth)
the_city.satisfied = False
for r in sad_rules.res_list:
d = sad_rules.demand[r](the_world, the_city, the_world._teams[the_city.team])
demand[r][0] += d
demand[r][1] = min(d, demand[r][1])
demand[r][2] = max(d, demand[r][2])
the_city.goods[r] = -d
if the_city.goods["Linen"] > the_city.goods["Wool"]:
the_city.wool_is_nice = True
city_supply = sad_rules.res_list[the_city.supply_good]
p = sad_rules.supply[city_supply](the_world, the_city, the_world._teams[the_city.team])
production[city_supply][0] += p
production[city_supply][1] = min(p, production[city_supply][1])
production[city_supply][2] = max(p, production[city_supply][2])
the_city.goods[city_supply] += p
# print(sad_rules.supply["Grain"](the_city, the_world._teams[the_city.team].tech_levels), sad_rules.demand["Grain"](the_city, the_world._teams[the_city.team].tech_levels))
pre_report = generate_sad_pre_report(the_world)
# Now begin to satisfy it
satisfied = False
batches = 0
while not satisfied:
sad_batch(the_world)
satisfied = True
for city_id, the_city in city_dict.items():
if not the_city.satisfied and the_city.wealth > 0:
satisfied = False
# Force a breakout
batches += 1
if batches > max_batches:
satisfied = True
post_report = generate_sad_post_report(the_world)
# print(pre_report['res_surplus']['Grain'])
return {"pre": pre_report, "post": post_report, "production": production, "demand": demand, "wealth": wealth}