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