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annotate gamelib/lab.py @ 115:ef63532cac13

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Rearrange SCIENCE a bit.
author Jeremy Thurgood <firxen@gmail.com>
date Wed, 09 May 2012 23:10:29 +0200
parents 182fce9f70b6
children 14917385a0fd
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1 # -*- test-case-name: gamelib.tests.test_lab -*-
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3 from random import random, choice
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4
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5 from gamelib import research, schematics
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6 from gamelib.game_base import get_subclasses
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8
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9 class Lab(object):
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10 BASIC_RESEARCH_SUCCESS_RATE = 0.05
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11 BASIC_RESEARCH_SUCCESS_MULTIPLIER = 2
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13 def __init__(self, init_data=None):
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14 self.science = []
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15 self.new_research = get_subclasses(research.ResearchArea)
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16 self.new_schematics = get_subclasses(schematics.Schematic)
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17
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18 if init_data is not None:
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19 # Load stored state.
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20 self._load_data(init_data)
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21 else:
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22 # New game.
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23 self._choose_initial_science()
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24
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25 def _load_data(self, init_data):
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26 sciences = init_data['science'].copy()
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27 for science in self.new_schematics + self.new_research:
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28 # Check if this science is one we should know.
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29 points = sciences.pop(science.save_name(), None)
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30 if points is not None:
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31 # It is! Learn it.
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32 self._gain_science(science(points))
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33 if sciences:
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34 # We're supposed to know an unknowable thing. :-(
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35 raise ValueError("Unknown science: %s" % (sciences.keys(),))
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36
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37 def save_data(self):
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38 return {'science': dict(s.save_data() for s in self.science)}
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39
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40 def _choose_initial_science(self):
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41 # We always get all starting schematics.
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42 for schematic in self.new_schematics[:]:
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43 if schematic.STARTING_PRODUCT:
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44 self._gain_science(schematic())
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115
ef63532cac13 Rearrange SCIENCE a bit.
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46 # We start with Physics, because it's not Philately.
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47 physics = research.Physics()
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48 self._gain_science(physics)
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49 new_science = [physics]
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50
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51 # We get two other random sciences with no prerequisites.
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52 for _ in range(2):
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53 science = choice(self.find_new_research())()
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54 self._gain_science(science)
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55 new_science.append(science)
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56
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57 # Add a point to each of our sciences, and see if we get schematics.
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58 self.spend_points(new_science, 0)
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59
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60 def _gain_science(self, science):
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61 self.science.append(science)
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62 if isinstance(science, research.ResearchArea):
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63 self.new_research.remove(type(science))
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64 elif isinstance(science, schematics.Schematic):
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65 self.new_schematics.remove(type(science))
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67 def spend_points(self, things, basic_research):
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68 breakthroughs = []
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69
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70 # First, allocate the points.
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71 for thing in things:
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72 assert thing in self.science
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73 assert thing.can_spend(self, 1)
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74 thing.spend_point()
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75
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76 # Next, check for schematic breakthroughs and upgrades
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77 breakthroughs.extend(self.apply_area_research([
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78 thing for thing in things
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79 if isinstance(thing, research.ResearchArea)]))
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80
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81 # Finally, check for research breakthroughs.
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82 breakthroughs.extend(self.apply_basic_research(basic_research))
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83
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84 return breakthroughs
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85
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86 def _get_science(self, science_class):
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87 for science in self.science:
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88 if isinstance(science, science_class):
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89 return science
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90 return None
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91
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92 def meet_requirements(self, science_class, extra=0):
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93 total_points = 0
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94 base_points = 0
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95 for science, level in science_class.PREREQUISITES:
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96 my_science = self._get_science(science)
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97 if my_science is None:
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98 return False
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99 if my_science.points < level:
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100 return False
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101 base_points += level
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102 total_points += my_science.points
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103 return total_points - base_points >= extra
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104
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105 def find_new_schematics(self):
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106 available_schematics = []
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107 for schematic_class in self.new_schematics:
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108 if self.meet_requirements(schematic_class):
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109 available_schematics.append(schematic_class)
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110 return available_schematics
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111
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112 def find_new_research(self):
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113 available_research = []
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114 for research_class in self.new_research:
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115 if self.meet_requirements(research_class):
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116 available_research.append(research_class)
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117 return available_research
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118
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119 def apply_area_research(self, researches):
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120 options = [schema for schema in self.find_new_schematics()
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121 if schema.depends_on(researches)]
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122 breakthroughs = [schematic for schematic in options
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123 if random() < schematic.ACQUISITION_CHANCE]
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124 if breakthroughs:
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125 breakthrough = choice(breakthroughs)()
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126 self._gain_science(breakthrough)
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127 breakthroughs = [breakthrough]
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128 return breakthroughs
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129
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130 def apply_basic_research(self, basic_research):
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131 if basic_research <= 1:
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132 return []
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133
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134 options = self.find_new_research()
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135 success_chance = self.BASIC_RESEARCH_SUCCESS_RATE * (
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136 self.BASIC_RESEARCH_SUCCESS_MULTIPLIER ** basic_research)
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137 breakthroughs = [research for research in options
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138 if random() < success_chance]
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139 if breakthroughs:
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140 breakthrough = choice(breakthroughs)(1)
10d3db1f1e08 Set up initial research and rework breakthroughs.
Jeremy Thurgood <firxen@gmail.com>
parents: 14
diff changeset
141 self._gain_science(breakthrough)
10d3db1f1e08 Set up initial research and rework breakthroughs.
Jeremy Thurgood <firxen@gmail.com>
parents: 14
diff changeset
142 breakthroughs = [breakthrough]
10d3db1f1e08 Set up initial research and rework breakthroughs.
Jeremy Thurgood <firxen@gmail.com>
parents: 14
diff changeset
143 return breakthroughs