update ...

This commit is contained in:
abc 2024-09-19 20:58:37 +02:00
parent cc80f2d315
commit a7af385526
4 changed files with 939 additions and 2 deletions

200
g4f/Provider/ChatGpt.py Normal file
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@ -0,0 +1,200 @@
from __future__ import annotations
from ..typing import Messages, CreateResult
from ..providers.base_provider import AbstractProvider, ProviderModelMixin
import time, uuid, random, json
from requests import Session
from .openai.new import (
get_config,
get_answer_token,
process_turnstile,
get_requirements_token
)
def format_conversation(messages: list):
conversation = []
for message in messages:
conversation.append({
'id': str(uuid.uuid4()),
'author': {
'role': message['role'],
},
'content': {
'content_type': 'text',
'parts': [
message['content'],
],
},
'metadata': {
'serialization_metadata': {
'custom_symbol_offsets': [],
},
},
'create_time': round(time.time(), 3),
})
return conversation
def init_session(user_agent):
session = Session()
cookies = {
'_dd_s': '',
}
headers = {
'accept': '*/*',
'accept-language': 'en-US,en;q=0.8',
'cache-control': 'no-cache',
'pragma': 'no-cache',
'priority': 'u=0, i',
'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
'sec-ch-ua-arch': '"arm"',
'sec-ch-ua-bitness': '"64"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-model': '""',
'sec-ch-ua-platform': '"macOS"',
'sec-ch-ua-platform-version': '"14.4.0"',
'sec-fetch-dest': 'document',
'sec-fetch-mode': 'navigate',
'sec-fetch-site': 'none',
'sec-fetch-user': '?1',
'upgrade-insecure-requests': '1',
'user-agent': user_agent,
}
session.get('https://chatgpt.com/', cookies=cookies, headers=headers)
return session
class ChatGpt(AbstractProvider, ProviderModelMixin):
label = "ChatGpt"
working = True
supports_message_history = True
supports_system_message = True
supports_stream = True
@classmethod
def create_completion(
cls,
model: str,
messages: Messages,
stream: bool,
**kwargs
) -> CreateResult:
if model in [
'gpt-4o',
'gpt-4o-mini',
'gpt-4',
'gpt-4-turbo',
'chatgpt-4o-latest'
]:
model = 'auto'
elif model in [
'gpt-3.5-turbo'
]:
model = 'text-davinci-002-render-sha'
else:
raise ValueError(f"Invalid model: {model}")
user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36'
session: Session = init_session(user_agent)
config = get_config(user_agent)
pow_req = get_requirements_token(config)
headers = {
'accept': '*/*',
'accept-language': 'en-US,en;q=0.8',
'content-type': 'application/json',
'oai-device-id': f'{uuid.uuid4()}',
'oai-language': 'en-US',
'origin': 'https://chatgpt.com',
'priority': 'u=1, i',
'referer': 'https://chatgpt.com/',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Linux"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'sec-gpc': '1',
'user-agent': f'{user_agent}'
}
response = session.post('https://chatgpt.com/backend-anon/sentinel/chat-requirements',
headers=headers, json={'p': pow_req}).json()
turnstile = response.get('turnstile', {})
turnstile_required = turnstile.get('required')
pow_conf = response.get('proofofwork', {})
if turnstile_required:
turnstile_dx = turnstile.get('dx')
turnstile_token = process_turnstile(turnstile_dx, pow_req)
headers = headers | {
'openai-sentinel-turnstile-token' : turnstile_token,
'openai-sentinel-chat-requirements-token': response.get('token'),
'openai-sentinel-proof-token' : get_answer_token(
pow_conf.get('seed'), pow_conf.get('difficulty'), config
)
}
json_data = {
'action': 'next',
'messages': format_conversation(messages),
'parent_message_id': str(uuid.uuid4()),
'model': 'auto',
'timezone_offset_min': -120,
'suggestions': [
'Can you help me create a personalized morning routine that would help increase my productivity throughout the day? Start by asking me about my current habits and what activities energize me in the morning.',
'Could you help me plan a relaxing day that focuses on activities for rejuvenation? To start, can you ask me what my favorite forms of relaxation are?',
'I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look good on camera?',
'Make up a 5-sentence story about "Sharky", a tooth-brushing shark superhero. Make each sentence a bullet point.',
],
'history_and_training_disabled': False,
'conversation_mode': {
'kind': 'primary_assistant',
},
'force_paragen': False,
'force_paragen_model_slug': '',
'force_nulligen': False,
'force_rate_limit': False,
'reset_rate_limits': False,
'websocket_request_id': str(uuid.uuid4()),
'system_hints': [],
'force_use_sse': True,
'conversation_origin': None,
'client_contextual_info': {
'is_dark_mode': True,
'time_since_loaded': random.randint(22,33),
'page_height': random.randint(600, 900),
'page_width': random.randint(500, 800),
'pixel_ratio': 2,
'screen_height': random.randint(800, 1200),
'screen_width': random.randint(1200, 2000),
},
}
response = session.post('https://chatgpt.com/backend-anon/conversation',
headers=headers, json=json_data, stream=True)
replace = ''
for line in response.iter_lines():
if line:
if 'DONE' in line.decode():
break
data = json.loads(line.decode()[6:])
if data.get('message').get('author').get('role') == 'assistant':
tokens = (data.get('message').get('content').get('parts')[0])
yield tokens.replace(replace, '')
replace = tokens

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@ -61,6 +61,7 @@ from .Upstage import Upstage
from .Vercel import Vercel
from .WhiteRabbitNeo import WhiteRabbitNeo
from .You import You
from .ChatGpt import ChatGpt
import sys

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g4f/Provider/openai/new.py Normal file
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import hashlib
import base64
import random
import json
import time
import uuid
from datetime import (
datetime,
timedelta,
timezone
)
cores = [16, 24, 32]
screens = [3000, 4000, 6000]
maxAttempts = 500000
navigator_keys = [
"registerProtocolHandlerfunction registerProtocolHandler() { [native code] }",
"storage[object StorageManager]",
"locks[object LockManager]",
"appCodeNameMozilla",
"permissions[object Permissions]",
"appVersion5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"sharefunction share() { [native code] }",
"webdriverfalse",
"managed[object NavigatorManagedData]",
"canSharefunction canShare() { [native code] }",
"vendorGoogle Inc.",
"vendorGoogle Inc.",
"mediaDevices[object MediaDevices]",
"vibratefunction vibrate() { [native code] }",
"storageBuckets[object StorageBucketManager]",
"mediaCapabilities[object MediaCapabilities]",
"getGamepadsfunction getGamepads() { [native code] }",
"bluetooth[object Bluetooth]",
"sharefunction share() { [native code] }",
"cookieEnabledtrue",
"virtualKeyboard[object VirtualKeyboard]",
"productGecko",
"mediaDevices[object MediaDevices]",
"canSharefunction canShare() { [native code] }",
"getGamepadsfunction getGamepads() { [native code] }",
"productGecko",
"xr[object XRSystem]",
"clipboard[object Clipboard]",
"storageBuckets[object StorageBucketManager]",
"unregisterProtocolHandlerfunction unregisterProtocolHandler() { [native code] }",
"productSub20030107",
"login[object NavigatorLogin]",
"vendorSub",
"login[object NavigatorLogin]",
"userAgentMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"getInstalledRelatedAppsfunction getInstalledRelatedApps() { [native code] }",
"userAgentMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"mediaDevices[object MediaDevices]",
"locks[object LockManager]",
"webkitGetUserMediafunction webkitGetUserMedia() { [native code] }",
"vendorGoogle Inc.",
"xr[object XRSystem]",
"mediaDevices[object MediaDevices]",
"virtualKeyboard[object VirtualKeyboard]",
"userAgentMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"virtualKeyboard[object VirtualKeyboard]",
"appNameNetscape",
"storageBuckets[object StorageBucketManager]",
"presentation[object Presentation]",
"onLinetrue",
"mimeTypes[object MimeTypeArray]",
"credentials[object CredentialsContainer]",
"presentation[object Presentation]",
"getGamepadsfunction getGamepads() { [native code] }",
"vendorSub",
"virtualKeyboard[object VirtualKeyboard]",
"serviceWorker[object ServiceWorkerContainer]",
"xr[object XRSystem]",
"productGecko",
"keyboard[object Keyboard]",
"gpu[object GPU]",
"getInstalledRelatedAppsfunction getInstalledRelatedApps() { [native code] }",
"webkitPersistentStorage[object DeprecatedStorageQuota]",
"doNotTrack",
"clearAppBadgefunction clearAppBadge() { [native code] }",
"presentation[object Presentation]",
"serial[object Serial]",
"locks[object LockManager]",
"requestMIDIAccessfunction requestMIDIAccess() { [native code] }",
"locks[object LockManager]",
"requestMediaKeySystemAccessfunction requestMediaKeySystemAccess() { [native code] }",
"vendorGoogle Inc.",
"pdfViewerEnabledtrue",
"languagezh-CN",
"setAppBadgefunction setAppBadge() { [native code] }",
"geolocation[object Geolocation]",
"userAgentData[object NavigatorUAData]",
"mediaCapabilities[object MediaCapabilities]",
"requestMIDIAccessfunction requestMIDIAccess() { [native code] }",
"getUserMediafunction getUserMedia() { [native code] }",
"mediaDevices[object MediaDevices]",
"webkitPersistentStorage[object DeprecatedStorageQuota]",
"userAgentMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"sendBeaconfunction sendBeacon() { [native code] }",
"hardwareConcurrency32",
"appVersion5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"credentials[object CredentialsContainer]",
"storage[object StorageManager]",
"cookieEnabledtrue",
"pdfViewerEnabledtrue",
"windowControlsOverlay[object WindowControlsOverlay]",
"scheduling[object Scheduling]",
"pdfViewerEnabledtrue",
"hardwareConcurrency32",
"xr[object XRSystem]",
"userAgentMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
"webdriverfalse",
"getInstalledRelatedAppsfunction getInstalledRelatedApps() { [native code] }",
"getInstalledRelatedAppsfunction getInstalledRelatedApps() { [native code] }",
"bluetooth[object Bluetooth]"
]
window_keys = [
"0",
"window",
"self",
"document",
"name",
"location",
"customElements",
"history",
"navigation",
"locationbar",
"menubar",
"personalbar",
"scrollbars",
"statusbar",
"toolbar",
"status",
"closed",
"frames",
"length",
"top",
"opener",
"parent",
"frameElement",
"navigator",
"origin",
"external",
"screen",
"innerWidth",
"innerHeight",
"scrollX",
"pageXOffset",
"scrollY",
"pageYOffset",
"visualViewport",
"screenX",
"screenY",
"outerWidth",
"outerHeight",
"devicePixelRatio",
"clientInformation",
"screenLeft",
"screenTop",
"styleMedia",
"onsearch",
"isSecureContext",
"trustedTypes",
"performance",
"onappinstalled",
"onbeforeinstallprompt",
"crypto",
"indexedDB",
"sessionStorage",
"localStorage",
"onbeforexrselect",
"onabort",
"onbeforeinput",
"onbeforematch",
"onbeforetoggle",
"onblur",
"oncancel",
"oncanplay",
"oncanplaythrough",
"onchange",
"onclick",
"onclose",
"oncontentvisibilityautostatechange",
"oncontextlost",
"oncontextmenu",
"oncontextrestored",
"oncuechange",
"ondblclick",
"ondrag",
"ondragend",
"ondragenter",
"ondragleave",
"ondragover",
"ondragstart",
"ondrop",
"ondurationchange",
"onemptied",
"onended",
"onerror",
"onfocus",
"onformdata",
"oninput",
"oninvalid",
"onkeydown",
"onkeypress",
"onkeyup",
"onload",
"onloadeddata",
"onloadedmetadata",
"onloadstart",
"onmousedown",
"onmouseenter",
"onmouseleave",
"onmousemove",
"onmouseout",
"onmouseover",
"onmouseup",
"onmousewheel",
"onpause",
"onplay",
"onplaying",
"onprogress",
"onratechange",
"onreset",
"onresize",
"onscroll",
"onsecuritypolicyviolation",
"onseeked",
"onseeking",
"onselect",
"onslotchange",
"onstalled",
"onsubmit",
"onsuspend",
"ontimeupdate",
"ontoggle",
"onvolumechange",
"onwaiting",
"onwebkitanimationend",
"onwebkitanimationiteration",
"onwebkitanimationstart",
"onwebkittransitionend",
"onwheel",
"onauxclick",
"ongotpointercapture",
"onlostpointercapture",
"onpointerdown",
"onpointermove",
"onpointerrawupdate",
"onpointerup",
"onpointercancel",
"onpointerover",
"onpointerout",
"onpointerenter",
"onpointerleave",
"onselectstart",
"onselectionchange",
"onanimationend",
"onanimationiteration",
"onanimationstart",
"ontransitionrun",
"ontransitionstart",
"ontransitionend",
"ontransitioncancel",
"onafterprint",
"onbeforeprint",
"onbeforeunload",
"onhashchange",
"onlanguagechange",
"onmessage",
"onmessageerror",
"onoffline",
"ononline",
"onpagehide",
"onpageshow",
"onpopstate",
"onrejectionhandled",
"onstorage",
"onunhandledrejection",
"onunload",
"crossOriginIsolated",
"scheduler",
"alert",
"atob",
"blur",
"btoa",
"cancelAnimationFrame",
"cancelIdleCallback",
"captureEvents",
"clearInterval",
"clearTimeout",
"close",
"confirm",
"createImageBitmap",
"fetch",
"find",
"focus",
"getComputedStyle",
"getSelection",
"matchMedia",
"moveBy",
"moveTo",
"open",
"postMessage",
"print",
"prompt",
"queueMicrotask",
"releaseEvents",
"reportError",
"requestAnimationFrame",
"requestIdleCallback",
"resizeBy",
"resizeTo",
"scroll",
"scrollBy",
"scrollTo",
"setInterval",
"setTimeout",
"stop",
"structuredClone",
"webkitCancelAnimationFrame",
"webkitRequestAnimationFrame",
"chrome",
"g_opr",
"opr",
"ethereum",
"caches",
"cookieStore",
"ondevicemotion",
"ondeviceorientation",
"ondeviceorientationabsolute",
"launchQueue",
"documentPictureInPicture",
"getScreenDetails",
"queryLocalFonts",
"showDirectoryPicker",
"showOpenFilePicker",
"showSaveFilePicker",
"originAgentCluster",
"credentialless",
"speechSynthesis",
"onscrollend",
"webkitRequestFileSystem",
"webkitResolveLocalFileSystemURL",
"__remixContext",
"__oai_SSR_TTI",
"__remixManifest",
"__reactRouterVersion",
"DD_RUM",
"__REACT_INTL_CONTEXT__",
"filterCSS",
"filterXSS",
"__SEGMENT_INSPECTOR__",
"DD_LOGS",
"regeneratorRuntime",
"_g",
"__remixRouteModules",
"__remixRouter",
"__STATSIG_SDK__",
"__STATSIG_JS_SDK__",
"__STATSIG_RERENDER_OVERRIDE__",
"_oaiHandleSessionExpired"
]
def get_parse_time():
now = datetime.now(timezone(timedelta(hours=-5)))
return now.strftime("%a %b %d %Y %H:%M:%S") + " GMT+0200 (Central European Summer Time)"
def get_config(user_agent):
core = random.choice(cores)
screen = random.choice(screens)
# partially hardcoded config
config = [
core + screen,
get_parse_time(),
4294705152,
random.random(),
user_agent,
None,
"remix-prod-15f1ec0f78ad898b9606a88d384ef76345b82b82", #document.documentElement.getAttribute("data-build"),
"en-US",
"en-US,es-US,en,es",
0,
random.choice(navigator_keys),
'location',
random.choice(window_keys),
time.perf_counter(),
str(uuid.uuid4()),
]
return config
def get_answer_token(seed, diff, config):
answer, solved = generate_answer(seed, diff, config)
if solved:
return "gAAAAAB" + answer
else:
raise Exception("Failed to solve 'gAAAAAB' challenge")
def generate_answer(seed, diff, config):
diff_len = len(diff)
seed_encoded = seed.encode()
p1 = (json.dumps(config[:3], separators=(',', ':'), ensure_ascii=False)[:-1] + ',').encode()
p2 = (',' + json.dumps(config[4:9], separators=(',', ':'), ensure_ascii=False)[1:-1] + ',').encode()
p3 = (',' + json.dumps(config[10:], separators=(',', ':'), ensure_ascii=False)[1:]).encode()
target_diff = bytes.fromhex(diff)
for i in range(maxAttempts):
d1 = str(i).encode()
d2 = str(i >> 1).encode()
string = (
p1
+ d1
+ p2
+ d2
+ p3
)
base_encode = base64.b64encode(string)
hash_value = hashlib.new("sha3_512", seed_encoded + base_encode).digest()
if hash_value[:diff_len] <= target_diff:
return base_encode.decode(), True
return 'wQ8Lk5FbGpA2NcR9dShT6gYjU7VxZ4D' + base64.b64encode(f'"{seed}"'.encode()).decode(), False
def get_requirements_token(config):
require, solved = generate_answer(format(random.random()), "0fffff", config)
if solved:
return 'gAAAAAC' + require
else:
raise Exception("Failed to solve 'gAAAAAC' challenge")
### processing turnstile token
import json
import random
import time
import base64
from collections import OrderedDict, defaultdict
from typing import Any, Callable, Dict, List
class OrderedMap:
def __init__(self):
self.map = OrderedDict()
def add(self, key: str, value: Any):
self.map[key] = value
def to_json(self):
return json.dumps(self.map)
def __str__(self):
return self.to_json()
TurnTokenList = List[List[Any]]
FloatMap = Dict[float, Any]
StringMap = Dict[str, Any]
FuncType = Callable[..., Any]
start_time = time.time()
def get_turnstile_token(dx: str, p: str) -> str:
decoded_bytes = base64.b64decode(dx)
# print(decoded_bytes.decode())
return process_turnstile_token(decoded_bytes.decode(), p)
def process_turnstile_token(dx: str, p: str) -> str:
result = []
p_length = len(p)
if p_length != 0:
for i, r in enumerate(dx):
result.append(chr(ord(r) ^ ord(p[i % p_length])))
else:
result = list(dx)
return "".join(result)
def is_slice(input_val: Any) -> bool:
return isinstance(input_val, (list, tuple))
def is_float(input_val: Any) -> bool:
return isinstance(input_val, float)
def is_string(input_val: Any) -> bool:
return isinstance(input_val, str)
def to_str(input_val: Any) -> str:
if input_val is None:
return "undefined"
elif is_float(input_val):
return f"{input_val:.16g}"
elif is_string(input_val):
special_cases = {
"window.Math": "[object Math]",
"window.Reflect": "[object Reflect]",
"window.performance": "[object Performance]",
"window.localStorage": "[object Storage]",
"window.Object": "function Object() { [native code] }",
"window.Reflect.set": "function set() { [native code] }",
"window.performance.now": "function () { [native code] }",
"window.Object.create": "function create() { [native code] }",
"window.Object.keys": "function keys() { [native code] }",
"window.Math.random": "function random() { [native code] }",
}
return special_cases.get(input_val, input_val)
elif isinstance(input_val, list) and all(
isinstance(item, str) for item in input_val
):
return ",".join(input_val)
else:
# print(f"Type of input is: {type(input_val)}")
return str(input_val)
def get_func_map() -> FloatMap:
process_map: FloatMap = defaultdict(lambda: None)
def func_1(e: float, t: float):
e_str = to_str(process_map[e])
t_str = to_str(process_map[t])
if e_str is not None and t_str is not None:
res = process_turnstile_token(e_str, t_str)
process_map[e] = res
else:
pass
# print(f"Warning: Unable to process func_1 for e={e}, t={t}")
def func_2(e: float, t: Any):
process_map[e] = t
def func_5(e: float, t: float):
n = process_map[e]
tres = process_map[t]
if n is None:
process_map[e] = tres
elif is_slice(n):
nt = n + [tres] if tres is not None else n
process_map[e] = nt
else:
if is_string(n) or is_string(tres):
res = to_str(n) + to_str(tres)
elif is_float(n) and is_float(tres):
res = n + tres
else:
res = "NaN"
process_map[e] = res
def func_6(e: float, t: float, n: float):
tv = process_map[t]
nv = process_map[n]
if is_string(tv) and is_string(nv):
res = f"{tv}.{nv}"
if res == "window.document.location":
process_map[e] = "https://chatgpt.com/"
else:
process_map[e] = res
else:
pass
# print("func type 6 error")
def func_24(e: float, t: float, n: float):
tv = process_map[t]
nv = process_map[n]
if is_string(tv) and is_string(nv):
process_map[e] = f"{tv}.{nv}"
else:
pass
# print("func type 24 error")
def func_7(e: float, *args):
n = [process_map[arg] for arg in args]
ev = process_map[e]
if isinstance(ev, str):
if ev == "window.Reflect.set":
obj = n[0]
key_str = str(n[1])
val = n[2]
obj.add(key_str, val)
elif callable(ev):
ev(*n)
def func_17(e: float, t: float, *args):
i = [process_map[arg] for arg in args]
tv = process_map[t]
res = None
if isinstance(tv, str):
if tv == "window.performance.now":
current_time = time.time_ns()
elapsed_ns = current_time - int(start_time * 1e9)
res = (elapsed_ns + random.random()) / 1e6
elif tv == "window.Object.create":
res = OrderedMap()
elif tv == "window.Object.keys":
if isinstance(i[0], str) and i[0] == "window.localStorage":
res = [
"STATSIG_LOCAL_STORAGE_INTERNAL_STORE_V4",
"STATSIG_LOCAL_STORAGE_STABLE_ID",
"client-correlated-secret",
"oai/apps/capExpiresAt",
"oai-did",
"STATSIG_LOCAL_STORAGE_LOGGING_REQUEST",
"UiState.isNavigationCollapsed.1",
]
elif tv == "window.Math.random":
res = random.random()
elif callable(tv):
res = tv(*i)
process_map[e] = res
def func_8(e: float, t: float):
process_map[e] = process_map[t]
def func_14(e: float, t: float):
tv = process_map[t]
if is_string(tv):
try:
token_list = json.loads(tv)
process_map[e] = token_list
except json.JSONDecodeError:
# print(f"Warning: Unable to parse JSON for key {t}")
process_map[e] = None
else:
# print(f"Warning: Value for key {t} is not a string")
process_map[e] = None
def func_15(e: float, t: float):
tv = process_map[t]
process_map[e] = json.dumps(tv)
def func_18(e: float):
ev = process_map[e]
e_str = to_str(ev)
decoded = base64.b64decode(e_str).decode()
process_map[e] = decoded
def func_19(e: float):
ev = process_map[e]
e_str = to_str(ev)
encoded = base64.b64encode(e_str.encode()).decode()
process_map[e] = encoded
def func_20(e: float, t: float, n: float, *args):
o = [process_map[arg] for arg in args]
ev = process_map[e]
tv = process_map[t]
if ev == tv:
nv = process_map[n]
if callable(nv):
nv(*o)
else:
pass
# print("func type 20 error")
def func_21(*args):
pass
def func_23(e: float, t: float, *args):
i = list(args)
ev = process_map[e]
tv = process_map[t]
if ev is not None and callable(tv):
tv(*i)
process_map.update(
{
1: func_1,
2: func_2,
5: func_5,
6: func_6,
7: func_7,
8: func_8,
10: "window",
14: func_14,
15: func_15,
17: func_17,
18: func_18,
19: func_19,
20: func_20,
21: func_21,
23: func_23,
24: func_24,
}
)
return process_map
def process_turnstile(dx: str, p: str) -> str:
tokens = get_turnstile_token(dx, p)
res = ""
token_list = json.loads(tokens)
process_map = get_func_map()
def func_3(e: str):
nonlocal res
res = base64.b64encode(e.encode()).decode()
process_map[3] = func_3
process_map[9] = token_list
process_map[16] = p
for token in token_list:
try:
e = token[0]
t = token[1:]
f = process_map.get(e)
if callable(f):
f(*t)
else:
pass
# print(f"Warning: No function found for key {e}")
except Exception as exc:
raise Exception(f"Error processing token {token}: {exc}")
# print(f"Error processing token {token}: {exc}")
return res

View File

@ -13,6 +13,7 @@ from .Provider import (
Blackbox,
ChatGot,
Chatgpt4Online,
ChatGpt,
Chatgpt4o,
ChatgptFree,
CodeNews,
@ -115,7 +116,7 @@ gpt_4o = Model(
base_provider = 'OpenAI',
best_provider = IterListProvider([
Liaobots, Chatgpt4o, Airforce,
OpenaiChat,
OpenaiChat
])
)
@ -124,7 +125,7 @@ gpt_4o_mini = Model(
base_provider = 'OpenAI',
best_provider = IterListProvider([
DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews, MagickPen, Airforce,
OpenaiChat, Koala,
OpenaiChat, Koala, ChatGpt
])
)