quakeforge/tools/io_qfmap/entityclass.py

150 lines
4.9 KiB
Python

# vim:ts=4:et
import os
from .script import Script
from .qfplist import pldata
MAX_FLAGS = 8
class EntityClass:
def __init__(self, name, color, size, flagnames, comment):
self.name = name
self.color = color
self.size = size
self.flagnames = flagnames
self.comment = comment
@classmethod
def null(cls):
return cls('', (1, 1, 1), None, (), "")
@classmethod
def from_quaked(cls, text, filename, line = 0):
script = Script(filename, text)
if line:
script.line = line
script.getToken() # skip over the leading '/*QUAKED'
name = script.getToken()
color = cls.parse_vector(script)
size = cls.parse_size(script)
flagnames = cls.parse_flags(script)
comment = cls.extract_comment(script)
return cls(name, color, size, flagnames, comment)
@classmethod
def from_dictionary(cls, name, d):
if "color" in d:
color = d["color"]
color = float(color[0]), float(color[1]), float(color[2])
else:
color = (0.0, 0.0, 0.0)
if "size" in d:
mins, maxs = d["size"]
size = ((float(mins[0]), float(mins[1]), float(mins[2])),
(float(maxs[0]), float(maxs[1]), float(maxs[2])))
else:
size = None
if "flagnames" in d:
flagnames = tuple(d["flagnames"])
else:
flagnames = ()
if "comment" in d:
comment = d["comment"]
else:
comment = ""
return cls(name, color, size, flagnames, comment)
def to_dictionary(self):
d = {"color":self.color, "flagnames":self.flagnames,
"comment":self.comment}
if self.size:
d["size"] = self.size
return d
@classmethod
def parse_vector(cls, script):
if script.getToken() != "(":
raise SyntaxError
v = (float(script.getToken()), float(script.getToken()),
float(script.getToken()))
if script.getToken() != ")":
raise SyntaxError
return v
@classmethod
def parse_size(cls, script):
if script.getToken() == "?":
return None # use brush size
script.ungetToken()
return cls.parse_vector(script), cls.parse_vector(script)
@classmethod
def parse_flags(cls, script):
flagnames = []
while script.tokenAvailable():
#any remaining words on the line are flag names, but only MAX_FLAGS
#names are kept.
script.getToken()
if len(flagnames) < MAX_FLAGS:
flagnames.append(script.token)
return tuple(flagnames)
@classmethod
def extract_comment(cls, script):
if not script.tokenAvailable(True):
return ""
start = pos = script.pos
while pos < len(script.text) and script.text[pos:pos + 2] != "*/":
if script.text[pos] == "\n":
script.line += 1
pos += 1
comment = script.text[start:pos]
if pos < len(script.text):
pos += 2
script.pos = pos
return comment
class EntityClassDict:
def __init__(self):
self.path = ""
self.entity_classes = {}
def scan_source(self, fname):
text = open(fname, "rt").read()
line = 1
pos = 0
while pos < len(text):
if text[pos:pos + 8] == "/*QUAKED":
start = pos
start_line = line
while pos < len(text) and text[pos:pos + 2] != "*/":
if text[pos] == "\n":
line += 1
pos += 1
if pos < len(text):
pos += 2
ec = EntityClass.from_quaked(text[start:pos], fname,
start_line)
self.entity_classes[ec.name] = ec
else:
if text[pos] == "\n":
line += 1
pos += 1
def scan_directory(self, path):
files = os.listdir(path)
files.sort()
for f in files:
if f[0] in [".", "_"]:
continue
if os.path.isdir(os.path.join(path, f)):
self.scan_directory(os.path.join(path, f))
else:
if f[-3:] == ".qc":
self.scan_source(os.path.join(path, f))
def from_source_tree(self, path):
self.path = path
self.entity_classes = {}
self.scan_directory(self.path)
def to_plist(self):
pl = pldata()
ec = {}
for k in self.entity_classes.keys():
ec[k] = self.entity_classes[k].to_dictionary()
return pl.write(ec)
def from_plist(self, plist):
pl = pldata(plist)
ec = pl.parse()
self.entity_classes = {}
for k in ec.keys():
self.entity_classes[k] = EntityClass.from_dictionary(k, ec[k])