Telethon/telethon_generator/parsers/tlobject/parser.py
2019-05-26 21:15:43 +02:00

149 lines
4.5 KiB
Python

import collections
import re
from .tlarg import TLArg
from .tlobject import TLObject
from ..methods import Usability
CORE_TYPES = {
0xbc799737, # boolFalse#bc799737 = Bool;
0x997275b5, # boolTrue#997275b5 = Bool;
0x3fedd339, # true#3fedd339 = True;
0xc4b9f9bb, # error#c4b9f9bb code:int text:string = Error;
0x56730bcc # null#56730bcc = Null;
}
# Telegram Desktop (C++) doesn't care about string/bytes, and the .tl files
# don't either. However in Python we *do*, and we want to deal with bytes
# for the authorization key process, not UTF-8 strings (they won't be).
#
# Every type with an ID that's in here should get their attribute types
# with string being replaced with bytes.
AUTH_KEY_TYPES = {
0x05162463, # resPQ,
0x83c95aec, # p_q_inner_data
0xa9f55f95, # p_q_inner_data_dc
0x3c6a84d4, # p_q_inner_data_temp
0x56fddf88, # p_q_inner_data_temp_dc
0xd0e8075c, # server_DH_params_ok
0xb5890dba, # server_DH_inner_data
0x6643b654, # client_DH_inner_data
0xd712e4be, # req_DH_params
0xf5045f1f, # set_client_DH_params
0x3072cfa1 # gzip_packed
}
def _from_line(line, is_function, method_info, layer):
match = re.match(
r'^([\w.]+)' # 'name'
r'(?:#([0-9a-fA-F]+))?' # '#optionalcode'
r'(?:\s{?\w+:[\w\d<>#.?!]+}?)*' # '{args:.0?type}'
r'\s=\s' # ' = '
r'([\w\d<>#.?]+);$', # '<result.type>;'
line
)
if match is None:
# Probably "vector#1cb5c415 {t:Type} # [ t ] = Vector t;"
raise ValueError('Cannot parse TLObject {}'.format(line))
args_match = re.findall(
r'({)?'
r'(\w+)'
r':'
r'([\w\d<>#.?!]+)'
r'}?',
line
)
name = match.group(1)
method_info = method_info.get(name)
if method_info:
usability = method_info.usability
friendly = method_info.friendly
else:
usability = Usability.UNKNOWN
friendly = None
return TLObject(
fullname=name,
object_id=match.group(2),
result=match.group(3),
is_function=is_function,
layer=layer,
usability=usability,
friendly=friendly,
args=[TLArg(name, arg_type, brace != '')
for brace, name, arg_type in args_match]
)
def parse_tl(file_path, layer, methods=None, ignored_ids=CORE_TYPES):
"""
This method yields TLObjects from a given .tl file.
Note that the file is parsed completely before the function yields
because references to other objects may appear later in the file.
"""
method_info = {m.name: m for m in (methods or [])}
obj_all = []
obj_by_name = {}
obj_by_type = collections.defaultdict(list)
with file_path.open() as file:
is_function = False
for line in file:
comment_index = line.find('//')
if comment_index != -1:
line = line[:comment_index]
line = line.strip()
if not line:
continue
match = re.match(r'---(\w+)---', line)
if match:
following_types = match.group(1)
is_function = following_types == 'functions'
continue
try:
result = _from_line(
line, is_function, method_info, layer=layer)
if result.id in ignored_ids:
continue
obj_all.append(result)
if not result.is_function:
obj_by_name[result.fullname] = result
obj_by_type[result.result].append(result)
except ValueError as e:
if 'vector#1cb5c415' not in str(e):
raise
# Once all objects have been parsed, replace the
# string type from the arguments with references
for obj in obj_all:
if obj.id in AUTH_KEY_TYPES:
for arg in obj.args:
if arg.type == 'string':
arg.type = 'bytes'
for arg in obj.args:
arg.cls = obj_by_type.get(arg.type) or (
[obj_by_name[arg.type]] if arg.type in obj_by_name else []
)
yield from obj_all
def find_layer(file_path):
"""Finds the layer used on the specified scheme.tl file."""
layer_regex = re.compile(r'^//\s*LAYER\s*(\d+)$')
with file_path.open('r') as file:
for line in file:
match = layer_regex.match(line)
if match:
return int(match.group(1))