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first_in_generation.py
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first_in_generation.py
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def generate_stars(db_name,makeit_list):
# Sector Generation
# by Sean Nelson
import csv
import time
import sqlite3
import math
import random
import os
def create_tables(c,conn):
sql_create_stellar_bodies = """CREATE TABLE stellar_bodies(
id INTEGER PRIMARY KEY AUTOINCREMENT,
location TEXT,
companion_class TEXT,
luminosity_class TEXT,
spectral_type TEXT,
age REAL,
temperature REAL,
luminosity REAL,
mass REAL,
radius REAL,
inner_limit REAL,
life_zone_min REAL,
life_zone_max REAL,
snow_line REAL,
outer_limit REAL,
base_orbital_radius REAL,
bode_constant REAL,
orbits INTEGER,
belts INTEGER,
gg INTEGER,
s_orbit_description TEXT,
s_orbital_average REAL,
s_orbital_ecc REAL,
min_orbit REAL,
max_orbit REAL,
inner_forbidden REAL,
outer_forbidden REAL,
companions INTEGER
);"""
c.execute('DROP TABLE IF EXISTS stellar_bodies')
c.execute(sql_create_stellar_bodies)
sql_create_orbital_bodies = """CREATE TABLE orbital_bodies(
id INTEGER PRIMARY KEY AUTOINCREMENT,
location_orbit TEXT,
location TEXT,
stellar_orbit_no INTEGER,
planetary_orbit_no INTEGER,
stellar_distance REAL,
orbital_radius REAL,
zone TEXT,
body TEXT,
size integer,
density REAL,
mass REAL,
gravity REAL,
hill_radius REAL,
natural_moons INTEGER,
ring TEXT,
impact_moons INTEGER,
impact_chance INTEGER,
year REAL,
day INTEGER,
size_class TEXT,
wtype TEXT,
atmos_pressure REAL,
hydrographics INTEGER,
atmos_composition TEXT,
temperature INTEGER,
climate TEXT
);"""
c.execute('DROP TABLE IF EXISTS orbital_bodies')
c.execute(sql_create_orbital_bodies)
sql_create_dice_table = """CREATE TABLE die_rolls(
location TEXT,
number INTEGER,
reason TEXT,
total INTEGER
);"""
c.execute('DROP TABLE IF EXISTS die_rolls')
c.execute(sql_create_dice_table)
def roll_dice(no_dice, why, location):
no_dice_loop = no_dice + 1 #increment by one for the FOR loop
sum_dice = 0
for dice_loop in range (1,no_dice_loop):
sum_dice = sum_dice + random.randrange(1,7)
c.execute("INSERT INTO die_rolls (location, number, reason, total) VALUES(?, ?, ?, ?)",
(str(location),
no_dice,
why,
sum_dice))
return sum_dice
def integer_root(expo,num):
num = float(num)
root_expo = 1/expo
return float(num ** root_expo)
def get_multiple_stars(location):
# A function that returns the # of companions of the primary (not including sub-companions)
mult_roll = roll_dice(3,'# of stars',location)
if mult_roll <= MULTIPLE_STAR_CHANCE_S:
rolled_multiple = 0
elif mult_roll <= MULTIPLE_STAR_CHANCE_B:
rolled_multiple = 1
else:
rolled_multiple = 2
return rolled_multiple
def get_luminosity_class(location):
# A function that returns the stellar luminosity
lum_roll = roll_dice(3,'stellar luminosity',location)
if lum_roll <= LUM_CLASS_CHANCE_III:
rolled_lum = "III"
elif lum_roll <= LUM_CLASS_CHANCE_V:
rolled_lum = "V"
else:
rolled_lum = "D"
return rolled_lum
def get_spectral(location):
# A function that returns the spectral class
spec_roll = roll_dice(3,'spectral class',location)
if spec_roll <= SPEC_CLASS_CHANCE_A:
rolled_spec = "A"
elif spec_roll <= SPEC_CLASS_CHANCE_F:
rolled_spec = "F"
elif spec_roll <= SPEC_CLASS_CHANCE_G:
rolled_spec = "G"
elif spec_roll <= SPEC_CLASS_CHANCE_K:
rolled_spec = "K"
else:
rolled_spec = "M"
subspec_roll = roll_dice(1,'sub spectral class',location)
if subspec_roll <4:
subspec = "0"
else:
subspec = "5"
finalspec = (rolled_spec + subspec)
return finalspec
def get_stellarcharsv():
# Loading the Stellar Characteristics for Class V Table
temp_stellarcharsv = {}
for line in open("Star Characteristics V.txt"):
data = line.strip().split(',')
temp_stellarcharsv[data[0]] = dict(zip(('temperature', 'luminosity', 'mass', 'radius', 'lifespan'), data[1:]))
return temp_stellarcharsv
def get_stellarcharsiii():
# Loading the Stellar Characteristics for Class V Table
temp_stellarcharsiii = {}
for line in open("Star Characteristics III.txt"):
data = line.strip().split(',')
temp_stellarcharsiii[data[0]] = dict(zip(('temperature', 'luminosity', 'mass', 'radius', 'lifespan'), data[1:]))
return temp_stellarcharsiii
def get_orbitalzone():
# Loading the Orbital Zones Table
temp_orbitalzone = {}
for line in open("Orbital Zones Table.txt"):
data = line.strip().split(',')
temp_orbitalzone[data[0]] = dict(zip(('inner_limit', 'life_zone_min', 'life_zone_max', 'snow_line', 'outer_limit'), data[1:]))
return temp_orbitalzone
def get_companion_separation():
# Loading the Orbital Separation Table
temp_orbitalsep = {}
for line in open("Orbital Separation Table.txt"):
data = line.strip().split(',')
temp_orbitalsep[data[0]] = dict(zip(('separation', 'orbital_mod'), data[1:]))
return temp_orbitalsep
def get_planet_density_table():
# Loading the Planet Density Table
temp_planet_density = {}
for line in open("Planet Density Table.txt"):
data = line.strip().split(',')
temp_planet_density[data[0]] = dict(zip(('inside_snow_line', 'outside_snow_line'), data[1:]))
return temp_planet_density
def get_world_type_table():
# Loading the World Type Table
temp_world_type = {}
for line in open("World Type Table.txt"):
data = line.strip().split(',')
temp_world_type[data[0]] = dict(zip(('Inner Zone', 'Life Zone', 'Middle Zone', 'Outer Zone', 'Forbidden'), data[1:]))
return temp_world_type
def populate_orbit_distance(D,B):
# Uses a list and Bodes law to return the orbital distances
od_list = list()
od_list.append(0) # First items a 0, handles 0 indexing later
od_list.append(D)
od_list.append(D + B)
od_list.append(D + B * 2)
od_list.append(D + B * 4)
od_list.append(D + B * 8)
od_list.append(D + B * 16)
od_list.append(D + B * 32)
od_list.append(D + B * 64)
od_list.append(D + B * 128)
od_list.append(D + B * 256)
od_list.append(D + B * 512)
od_list.append(D + B * 1024)
od_list.append(D + B * 2048)
od_list.append(D + B * 999999999)
return od_list
def find_csd_spectral_type(third_roll,prime_spec_type):
# Use the spectral type of the primary to find the spectral type of the companion
# Only used when companion has the same luminosity class as the primary
if third_roll <=3:
spec_diff = 0
elif third_roll == 4:
spec_diff = 1
elif third_roll == 5:
spec_diff = 2
else:
spec_diff = 3
spec_list = ["A","F","G","K","M"]
spec_number = spec_list.index(prime_spec_type[0])
spec_number = spec_number + spec_diff
if spec_number > 4:
spec_number = 4
companion_spec = (spec_list[spec_number] + '5') # Assume 5 subtype
return companion_spec
def get_orbit_ecc(o_separation, location):
ecc_list = list()
ecc_list = [0.05,0.1,0.2,0.3,0.4,0.4,0.5,0.5,0.5,0.6,0.6,0.7,0.7,0.8,0.9,0.95]
ecc_roll = roll_dice(3, 'orbital eccentricity',location)
if o_separation == "Very Close":
ecc_roll = ecc_roll - 6
elif o_separation == "Close":
ecc_roll = ecc_roll - 4
elif o_separation == "Moderate":
ecc_roll = ecc_roll - 2
if ecc_roll < 3:
ecc_roll = 3
elif ecc_roll > 18:
ecc_roll = 18
#adjust ecc_roll to match list index (0 to 15)
ecc_roll = ecc_roll - 3
orbit_ecc = 0
orbit_ecc = ecc_list[ecc_roll]
return orbit_ecc
def get_companion_orbit(location,n,sub_companion):
# n represents which number star this is in the system
# sub_companion is a boolean indicating if this body is a subcompanion of another companion
if (n > 1) and (sub_companion == False):
die_mod = 13 # First In says +6, but that means the third could be closer than the second
elif sub_companion == True:
die_mod = -6
else:
die_mod = 0
sep_roll_lu = "X"
sep_roll = roll_dice(3,'separation distance',location) + die_mod
if sep_roll <= 6:
sep_roll_lu = "6"
elif sep_roll <= 9:
sep_roll_lu = "9"
elif sep_roll <= 11:
sep_roll_lu = "11"
elif sep_roll <= 14:
sep_roll_lu = "14"
else:
sep_roll_lu = "15"
sep_dict = {}
sep_dict = COMP_SEP
# Below is the separation description from the Orbital Separation Table
sep_desc = sep_dict[sep_roll_lu]['separation']
# Below is the radius multiplier from the Orbital Separation Table
sep_rad_mod = round(float(sep_dict[sep_roll_lu]['orbital_mod']),4)
sep_rad_roll = roll_dice(2, 'companion orbital_average',location)
orbital_average = float(sep_rad_mod + sep_rad_roll)
#check to see if the companion is Distant and has its own companion. For now mark with an asterisk in Separation description
own_companion = 0 # assume no companion of its own
if sep_desc == "Distant":
check_distant = roll_dice(3, 'distant companion check',location)
if check_distant >= DISTANT_COMPANION_CHANCE:
sep_desc = "Distant*"
own_companion = 1 #flag the presence of a companion, which will result in a new stellar body
orbital_ecc = float(get_orbit_ecc(sep_desc,location))
min_orbit = (1.00 - orbital_ecc) * orbital_average
max_orbit = (1.00 + orbital_ecc) * orbital_average
inner_forbidden = min_orbit/3
outer_forbidden = max_orbit*3
comp_orbit_dict = {
'sep_desc': sep_desc,
'orbital_average': orbital_average,
'orbital_ecc': orbital_ecc,
'min_orbit': round(min_orbit,2),
'max_orbit': round(max_orbit,2),
'inner_forbidden' : round(inner_forbidden,2),
'outer_forbidden' : round(outer_forbidden,2),
'companions': own_companion}
return comp_orbit_dict
def populate_stellar_dict(location,companion_no,stellar_dict,primary_companions,sub_companion):
# Generate data for new stellar body - place into dictionary
# location is hex location in sector
# stellar_dict is data of the primary if this star is a companion
# companion_no identifies which primary companion this is (e.g. 0 is primary, 1 is first to orbit primary)
# sub_companion is a boolean indicating if the body is a subcompanion
if companion_no > 0:
lum_class_list=['I','III','V']
if stellar_dict["luminosity_class"] == 'D':
luminosity_class = 'D'
spec = 'w'
else:
sec_lum_roll_a = roll_dice(1, 'comp lum class #1',location)
if sec_lum_roll_a <= 4:
luminosity_class = stellar_dict["luminosity_class"]
csd_spec_roll = roll_dice(1, 'comp spec roll',location)
spec = find_csd_spectral_type(csd_spec_roll,stellar_dict["spectral_type"])
else:
lum_class_index = lum_class_list.index(stellar_dict["luminosity_class"])
if sec_lum_roll_a == 5:
lum_class_index += 1
else:
lum_class_index += 2
if lum_class_index < 3:
luminosity_class = lum_class_list[lum_class_index]
else:
sec_lum_roll_b = roll_dice(1, 'comp lum class #2',location)
if sec_lum_roll_b <= 4:
luminosity_class = 'V'
else:
luminosity_class = 'D'
if luminosity_class == 'D':
spec = 'w'
elif luminosity_class in lum_class_list:
csd_spec_roll = roll_dice(1, 'comp spec roll',location)
spec = find_csd_spectral_type(csd_spec_roll,stellar_dict["spectral_type"])
else:
luminosity_class = 'X'
spec = 'X'
else:
luminosity_class = get_luminosity_class(location)
if luminosity_class == "D":
spec = "w"
else:
spec = get_spectral(location)
if luminosity_class == 'V':
stellar_temp = CHARSV[spec]["temperature"]
stellar_luminosity = CHARSV[spec]["luminosity"]
stellar_mass = CHARSV[spec]["mass"]
stellar_radius = CHARSV[spec]["radius"]
temp_stellar_lifespan = CHARSV[spec]["lifespan"]
# for main sequence(V) planets this number is maximum age.
# We need to assign an age for this particular star
adjust_age = roll_dice(2, 'stellar age',location)
if adjust_age > float(temp_stellar_lifespan):
adjust_age = temp_stellar_lifespan
stellar_lifespan = str(adjust_age)
elif luminosity_class == 'III':
stellar_temp = CHARSIII[spec]["temperature"]
stellar_luminosity = CHARSIII[spec]["luminosity"]
stellar_mass = CHARSIII[spec]["mass"]
stellar_radius = CHARSIII[spec]["radius"]
stellar_lifespan = CHARSIII[spec]["lifespan"]
else:
stellar_temp = 0
stellar_luminosity = 0.001
stellar_mass = 0.14 + (roll_dice(3, 'wD Mass', location) * 0.04)
stellar_radius = 0.00003
stellar_lifespan = 0
# companion info
if companion_no == 0:
comp_orbit_dict = {
'sep_desc': 'Primary',
'orbital_average' : 0,
'orbital_ecc': 'NA',
'min_orbit': 0,
'max_orbit': 0,
'inner_forbidden': 0,
'outer_forbidden': 0,
'companions': primary_companions}
else:
comp_orbit_dict = get_companion_orbit(location,companion_no,sub_companion)
if sub_companion == True:
companion_no += 0.1
# if this stellar body is a companion, overwrite the calculated age with the primary
if companion_no > 0:
stellar_lifespan = stellar_dict['age']
stellar_dict = {"location" : location,
"companion_class" : companion_no,
"luminosity_class" : luminosity_class,
"spectral_type" : spec,
"temperature" : stellar_temp,
"luminosity" : stellar_luminosity,
"mass" : stellar_mass,
"radius" : stellar_radius,
"age" : stellar_lifespan,
"inner_limit" : -1,
"lz_min" : -1,
"lz_max" : -1,
"snow_line" : -1,
"outer_limit" : -1,
"base_orbital_radius" : -1,
"bode_constant" : -1,
"orbits" : -1,
"belts" : -1,
"gg" : -1,
"orbit_description" : comp_orbit_dict['sep_desc'],
"orbital_average" : comp_orbit_dict['orbital_average'],
"orbital_ecc" : comp_orbit_dict['orbital_ecc'],
"min_orbit" : comp_orbit_dict['min_orbit'],
"max_orbit" : comp_orbit_dict['max_orbit'],
"inner_forbidden" : comp_orbit_dict['inner_forbidden'],
"outer_forbidden" : comp_orbit_dict['outer_forbidden'],
"companions" : comp_orbit_dict['companions']}
return stellar_dict
def populate_stellar_orbit_info(location, stellar_dict_list):
#receive a list of dictionaries of stellar bodies in a system and add orbit info
#if companions are very close, temporarily combine their mass and luminosity for orbit purposes
#in such cases the orbit info goes to the primary and the companion's orbit info is 0
return_list = []
for ix_star, star_dict in enumerate(stellar_dict_list):
if star_dict['orbit_description'] == 'Very Close':
stellar_mass = 0
stellar_luminosity = 0
elif star_dict['companions'] == 0:
stellar_mass = float(star_dict['mass'])
stellar_luminosity = float(star_dict['luminosity'])
else:
companion_orbit = stellar_dict_list[ix_star+1]['orbit_description']
if companion_orbit == 'Very Close':
stellar_mass = float(star_dict['mass']) + \
float(stellar_dict_list[ix_star+1]['mass'])
stellar_luminosity = float(star_dict['luminosity']) + \
float(stellar_dict_list[ix_star+1]['luminosity'])
else:
stellar_mass = float(star_dict['mass'])
stellar_luminosity = float(star_dict['luminosity'])
r1 = 0.2 * stellar_mass # using First In detailed gen rules
r2 = 0.0088 * (stellar_luminosity ** 0.5)
if r1 > r2: orbital_inner_limit = r1
else: orbital_inner_limit = r2
orbital_lz_min = 0.95 * (stellar_luminosity ** 0.5)
orbital_lz_max = 1.3 * (stellar_luminosity ** 0.5)
orbital_snow_line = 5 * (stellar_luminosity ** 0.5)
orbital_outer_limit = 40 * stellar_mass
if orbital_outer_limit < 10: orbital_outer_limit = 10
base_orbital_radius_int = (roll_dice(1,'base orbital radius',location) + 1)
base_orbital_radius = float(base_orbital_radius_int/2)
base_orbital_radius = float(base_orbital_radius) * float(orbital_inner_limit)
bode_roll = roll_dice(1,'bode constant roll',location)
if bode_roll < 3:
bode_constant = 0.3
elif bode_roll < 5:
bode_constant = 0.35
else:
bode_constant = 0.4
orbits_distance_list = list()
orbits_distance_list = populate_orbit_distance(base_orbital_radius, bode_constant)
orbits = -1
loop_a = 0
if base_orbital_radius > 0:
while (float(orbits_distance_list[loop_a]) < float(orbital_outer_limit)):
loop_a = loop_a + 1
orbits = loop_a - 1 #above while will go one too far, needs to be corrected
star_dict["inner_limit"] = round(orbital_inner_limit,3)
star_dict["lz_min"] = round(orbital_lz_min,3)
star_dict["lz_max"] = round(orbital_lz_max,3)
star_dict["snow_line"] = round(orbital_snow_line,3)
star_dict["outer_limit"] = round(orbital_outer_limit,3)
star_dict["base_orbital_radius"] = round(base_orbital_radius,3)
star_dict["bode_constant"] = round(bode_constant,3)
star_dict["orbits"] = orbits
star_dict["distance_list"] = orbits_distance_list
return_list.append(star_dict)
return return_list
def get_size(r,z,s,location):
# returns the planetary size
# r = orbit number
# z = zone type
# s = spectral type
size_roll = roll_dice(2, 'size roll',location)
if r == 1:
size_roll = size_roll - 4
elif z == "Inner Zone":
size_roll = size_roll - 2
elif z != "Outer Zone":
size_roll = size_roll + 4
if s == "M0":
size_roll = size_roll - 1
elif s == "M5":
size_roll = size_roll - 2
if size_roll < 1:
size_roll = 1
return size_roll
def get_gg_size(r,z,s,location):
gg_size_int = get_size(r,z,s,location)
gg_size_int = gg_size_int * 5
if gg_size_int < 25: gg_size_int = 25
return gg_size_int
def get_gg_density(gg_size):
gg_density = 0.0
if gg_size < 40: gg_density = 1.4
elif gg_size < 60: gg_density = 1.0
elif gg_size < 80: gg_density = 0.7
elif gg_size < 85: gg_density = 1.0
else: gg_density = 1.4
return gg_density
def get_planet_density(p_star_dict,zone,planet_size,location):
density_float = 0
age_float = float(p_star_dict["age"])
age_mod = age_float / 2
density_roll = roll_dice(3, 'density roll',location)
density_float = (density_roll - age_mod)/10
size_adjust = planet_size
if size_adjust <= 3:
size_adjust = 3
elif size_adjust <= 5:
size_adjust = 5
elif size_adjust <= 8:
size_adjust = 8
else:
size_adjust = 1000
density_final = -10
density_age_dict = {}
density_age_dict = get_planet_density_table()
if zone == "Outer Zone":
size_str = str(size_adjust)
density_look = float(density_age_dict[size_str]["outside_snow_line"])
density_final = density_look + density_float
else:
size_str = str(size_adjust)
density_look = float(density_age_dict[size_str]["inside_snow_line"])
density_final = density_look + density_float
return density_final
def get_hill_radius(distance,mass_planet,mass_star):
# from Architect of Worlds
# used to create moons
# distance = min distance from planet to star
part_one = (2.17 * 10**6) * distance
temp = float(mass_planet)/float(mass_star)
part_two = integer_root(3,temp)
hill_radius = round(part_one * part_two,2)
return hill_radius
def get_major_natural_satellites(hill_radius, current_distance):
# from Architect of Worlds
# used to calculate large satellites forming naturally via accretion
part_one = (2 * 10 ** -15)
part_two = (hill_radius**2) / integer_root(2,current_distance)
moons = part_one * part_two
moons = int(moons)
if moons >8: moons =8
return moons
def get_major_impact_satellites(hill_radius, radius, location):
# from Architect of Worlds
# used to calculate large satellites forming from impact
chance = round(hill_radius/radius,0)
moon = 0
if chance > 300:
moon_check = roll_dice(1,'impact satellite chance',location)
if moon_check >= 5:
moon = 1
else:
moon = 0
return [chance,moon]
def get_year(mass, distance):
# return the planetary year in earth years (orbital period)
# mass = mass of the primary
# distance = orbital radius of planet
distance_float = float(distance)
mass_float = float(mass)
temp_year = (distance_float**3) / mass_float
temp_year = round(math.sqrt(temp_year),2)
return temp_year
def get_day(size, location):
# return the planetary day in earth hours (rotation period)
# size is planetary size_adjust
# First In also used Tidal Lock, not used here
day_roll = roll_dice(3, 'day roll', location)
day_mod = 0
if size != 0:
if size < 3:
day_mod = 10
elif size <6:
day_mod = 8
elif size <9:
day_mod = 6
else:
day_mod = -1
day_int = day_roll + day_mod
else:
day_int = 0
return day_int
def get_world_size_class(world_mass, world_size, body_type):
world_size_class = "Not Found"
if body_type == "Planetoid Belt":
world_size_class = "Belt"
elif body_type == "Gas Giant":
world_size_class = "Gas Giant"
elif body_type == "Lost":
world_size_class = "Lost"
elif body_type == "Planet":
world_size_parameter = round((7.93) * world_mass / world_size,2)
if world_size_parameter <= .13:
world_size_class = "Tiny"
elif world_size_parameter <= .24:
world_size_class = "Very Small"
elif world_size_parameter <= .38:
world_size_class = "Small"
elif world_size_parameter <= 1.73:
world_size_class = "Standard"
else:
world_size_class = "Large"
else:
world_size_class = "Enigma"
return world_size_class
def get_world_type(size_class, zone):
world_type_var = "Something Crazy"
world_type_var = WORLD_TYPE[size_class][zone]
return world_type_var
def get_atmos_pressure(size_class, world_type, location):
atmos_var = -1
if size_class == 'Tiny':
atmos_var = 0.0
elif size_class == 'Very Small':
atmos_var = 0.1
elif world_type == 'Belt':
atmos_var = 0.0
elif world_type == 'Gas Giant':
atmos_var = 10.0
elif world_type == 'Greenhouse':
atmos_var = 2.0
else:
atmos_var = roll_dice(3,'atmos roll',location) * 0.1
return atmos_var
def get_hydro_pct(size_class, world_type, atmos_pressure, zone, primary_type, orbit_distance, snow_line, location):
clear_for_hydro = True
hydro_var = -1
hydro_mod = 0
ok_class = ('Large', 'Standard', 'Small')
ok_atmos = 0.2
not_ok_zone = ('Inner')
if str(size_class) not in ok_class:
clear_for_hydro = False
hydro_var = -2
if float(atmos_pressure) < float(ok_atmos):
clear_for_hydro = False
hydro_var = -3
if zone == not_ok_zone:
clear_for_hydro = False
hydro_var = -4
if float(orbit_distance) > (float(snow_line) * 3):
clear_for_hydro = False
hydro_var = -5
if primary_type[0] == 'M': hydro_mod += 2
if primary_type[0] == 'K': hydro_mod += 1
if primary_type[0] == 'F': hydro_mod -= 1
if primary_type[0] == 'A': hydro_mod -= 2
if world_type[0] == 'D':
if zone == 'Life Zone': hydro_mod -= 8
elif zone == 'Middle Zone': hydro_mod -= 6
elif world_type[0] == 'H': hydro_mod -= 2
if clear_for_hydro == True:
hydro_var = roll_dice(2, 'hydro roll',location) - 2
hydro_var = hydro_var + hydro_mod
if hydro_var < 0: hydro_var = 0
if hydro_var > 10: hydro_var = 10
return hydro_var
def check_sulfur(location):
if roll_dice(3, 'sulfur roll',location) > 12:
atm = 'Corrosive'
else:
atm = 'Exotic'
return atm
def check_pollutant(location):
if roll_dice(3, 'tainted roll',location) > 11:
atm = 'Tainted'
else:
atm = 'Standard'
return atm
def get_atmos_comp(world_type,location):
get_atmos_c_var = 'N/A'
if world_type.find('(SG)') > 0:
get_atmos_c_var = 'Corrosive'
elif world_type.find('(A)') > 0:
get_atmos_c_var = 'Corrosive'
elif world_type.find('(N)') > 0:
get_atmos_c_var = check_sulfur(location)
elif world_type.find('Gas') == 0:
get_atmos_c_var = 'GG'
elif world_type[0] == 'D':
get_atmos_c_var = check_sulfur(location)
elif world_type.find('Green') == 0:
get_atmos_c_var = 'Corrosive'
elif world_type[0] == 'O':
get_atmos_c_var = check_pollutant(location)
else: get_atmos_c_var = 'None'
return get_atmos_c_var
def get_albedo(world_type, hydro):
c_albedo = -1
if world_type.find('(SG)') > 0:
c_albedo = 0.50
elif world_type.find('(A)') > 0:
c_albedo = 0.50
elif world_type.find('(N)') > 0:
c_albedo = 0.20
elif world_type[0] == 'D':
c_albedo = 0.02
elif world_type[0] == 'R':
c_albedo = 0.02
elif world_type[0] == 'I':
c_albedo = 0.45
elif world_type[0] == 'O':
if hydro < 3:
c_albedo = 0.02
elif hydro < 6:
c_albedo = 0.10
elif hydro < 9:
c_albedo = 0.20
else:
c_albedo = 0.28
return c_albedo
def get_greenhouse(world_type, atmos_pressure, gravity):
c_greenhouse = -1
greenhouse_factor = -1
if world_type[0] == 'H':
c_greenhouse = 0.2
elif world_type[0] == 'O':
c_greenhouse = 0.15
elif world_type[0] == 'D':
c_greenhouse = 0.10
else:
c_greenhouse = 0.00
if gravity > 0:
greenhouse_factor = c_greenhouse * (atmos_pressure / gravity)
else:
greenhouse_factor = 0
return greenhouse_factor
def get_blackbody(luminosity, orbit_distance):
c_blackbody = -1
c_blackbody = (278 * (integer_root(4,luminosity)) / (math.sqrt(orbit_distance)))
return c_blackbody
def get_temperature(world_type, hydro, atmos_pressure, gravity, luminosity, orbit_distance,location):
albedo = get_albedo(world_type, hydro)
greenhouse = get_greenhouse(world_type, atmos_pressure, gravity)
blackbody = get_blackbody(luminosity, orbit_distance)
c_temperature = -1
c_temperature = blackbody * (integer_root(4,1 - albedo)) * (1 + greenhouse)
return round(c_temperature,2)
def get_climate(temperature, world_type):
c_climate = 'N/A'
if world_type[0] == 'O':
if temperature <= 238: c_climate = 'Uninhabitable (Frigid)'
elif temperature <= 249: c_climate = 'Frozen'
elif temperature <= 260: c_climate = 'Very Cold'
elif temperature <= 272: c_climate = 'Cold'
elif temperature <= 283: c_climate = 'Chilly'
elif temperature <= 294: c_climate = 'Cool'
elif temperature <= 302: c_climate = 'Earth-normal'
elif temperature <= 308: c_climate = 'Warm'
elif temperature <= 313: c_climate = 'Tropical'
elif temperature <= 319: c_climate = 'Hot'
elif temperature <= 324: c_climate = 'Very Hot'
else: c_climate = 'Uninhabitable (Torrid)'
return c_climate
def populate_orbital_body_table(ob_db_key,
location,
stellar_orbit_no,
planetary_orbit_no,
stellar_distance,
orbital_radius,
zones,
zone_objects,
size,
density,
mass,
gravity,
hill_radius,
natural_moons,
ring,
impact_moons,
impact_chance,
year,
day,
size_class,
wtype,
atmos_press,
hydro_pct,
atmos_comp,
temperature,
climate):
sqlcommand = ''' INSERT INTO orbital_bodies
(location_orbit,
location,
stellar_orbit_no,
planetary_orbit_no,
stellar_distance,
orbital_radius,
zone,
body,
size,
density,
mass,
gravity,
hill_radius,
natural_moons,
ring,
impact_moons,
impact_chance,
year,
day,
size_class,
wtype,
atmos_pressure,
hydrographics,
atmos_composition,
temperature,
climate)
VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) '''
body_row = (str(ob_db_key),
str(location),
stellar_orbit_no,
planetary_orbit_no,
stellar_distance,
orbital_radius,
zones,
zone_objects,