def _load_custom_ideas():
result = {}
for fn in iglob(join(common_path, "custom_ideas/*.txt")):
data = None
category = None
with open(fn, "r") as f:
data = nom(f.read())
data = data.itervalues().next()
for idea_name, values in data.iteritems():
effect_name = None
if idea_name == "category":
category = values
continue
assert category
for k, v in values.iteritems():
if effect_name is None:
effect_name = k
result[effect_name] = {
"category": category,
"magnitude": Decimal(v),
"max_level": DEFAULT_MAX_LEVEL,
}
continue
if k.startswith("level_cost_"):
result[effect_name][int(k[-1])] = int(v)
continue
if k == "max_level":
result[effect_name]["max_level"] = int(v)
return result
def _load(fn):
if fn.endswith('.bmp'):
return Image.open(join(map_path, fn), 'r')
data = None
with open(join(map_path, fn), 'r') as f:
data = f.read()
return nom(data)
def _load_countries():
countries = {}
for fn in iglob(join(history_path, 'countries/*.txt')):
data = None
with open(fn, 'r') as f:
data = nom(f.read())
tag = basename(fn.split('-')[0].strip().lower())
countries[tag] = data
return countries
def _load_provinces():
provinces = {}
for fn in iglob(join(history_path, 'provinces/*.txt')):
data = None
with open(fn, 'r') as f:
data = nom(f.read())
if 'owner' in data.keys():
data['owner'] = data['owner'].lower()
fn = split(fn)[1]
province_id = int(basename(fn.split('-')[0].strip().split(' ')[0].strip()))
provinces[province_id] = data
return provinces
def _load_national_ideas():
result = OrderedDict()
for fn in iglob(join(common_path, "ideas/*.txt")):
if fn.endswith("basic_ideas.txt"):
continue
data = None
with open(fn, "r") as f:
data = nom(f.read())
for k, v in data.iteritems():
key = k[: k.find("_")].lower()
ideas = _process_national_ideas(v)
result[key] = ideas
return result
def _load(*args):
with open(join(common_path, *args), 'r') as f:
return nom(f.read())
