mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-01 18:37:50 +03:00
219 lines
8.0 KiB
Python
219 lines
8.0 KiB
Python
from __future__ import annotations
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import re
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import json
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import base64
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import uuid
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from ..typing import AsyncResult, Messages, ImageType, Cookies
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from .helper import format_prompt
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from ..image import ImageResponse, ImagePreview, to_bytes, is_accepted_format
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from ..requests import StreamSession, FormData, raise_for_status
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from .you.har_file import get_telemetry_ids
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from .. import debug
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class You(AsyncGeneratorProvider, ProviderModelMixin):
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label = "You.com"
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url = "https://you.com"
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working = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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default_model = "gpt-3.5-turbo"
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default_vision_model = "agent"
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image_models = ["dall-e"]
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models = [
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default_model,
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"gpt-4o",
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"gpt-4",
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"gpt-4-turbo",
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"claude-instant",
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"claude-2",
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"claude-3-opus",
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"claude-3-sonnet",
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"claude-3-haiku",
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"gemini-pro",
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"gemini-1-5-pro",
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"databricks-dbrx-instruct",
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"command-r",
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"command-r-plus",
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"llama3",
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"zephyr",
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default_vision_model,
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*image_models
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]
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model_aliases = {
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"claude-v2": "claude-2",
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}
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_cookies = None
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_cookies_used = 0
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_telemetry_ids = []
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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stream: bool = True,
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image: ImageType = None,
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image_name: str = None,
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proxy: str = None,
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timeout: int = 240,
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chat_mode: str = "default",
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**kwargs,
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) -> AsyncResult:
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if image is not None or model == cls.default_vision_model:
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chat_mode = "agent"
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elif not model or model == cls.default_model:
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...
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elif model.startswith("dall-e"):
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chat_mode = "create"
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messages = [messages[-1]]
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else:
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chat_mode = "custom"
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model = cls.get_model(model)
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async with StreamSession(
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proxy=proxy,
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impersonate="chrome",
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timeout=(30, timeout)
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) as session:
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cookies = await cls.get_cookies(session) if chat_mode != "default" else None
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upload = ""
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if image is not None:
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upload_file = await cls.upload_file(
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session, cookies,
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to_bytes(image), image_name
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)
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upload = json.dumps([upload_file])
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headers = {
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"Accept": "text/event-stream",
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"Referer": f"{cls.url}/search?fromSearchBar=true&tbm=youchat",
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}
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data = {
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"userFiles": upload,
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"q": format_prompt(messages),
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"domain": "youchat",
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"selectedChatMode": chat_mode,
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}
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params = {
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"userFiles": upload,
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"selectedChatMode": chat_mode,
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}
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if chat_mode == "custom":
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if debug.logging:
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print(f"You model: {model}")
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params["selectedAiModel"] = model.replace("-", "_")
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async with (session.post if chat_mode == "default" else session.get)(
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f"{cls.url}/api/streamingSearch",
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data=data,
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params=params,
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headers=headers,
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cookies=cookies
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) as response:
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await raise_for_status(response)
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async for line in response.iter_lines():
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if line.startswith(b'event: '):
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event = line[7:].decode()
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elif line.startswith(b'data: '):
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if event in ["youChatUpdate", "youChatToken"]:
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data = json.loads(line[6:])
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if event == "youChatToken" and event in data and data[event]:
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yield data[event]
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elif event == "youChatUpdate" and "t" in data and data["t"]:
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if chat_mode == "create":
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match = re.search(r"!\[(.+?)\]\((.+?)\)", data["t"])
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if match:
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if match.group(1) == "fig":
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yield ImagePreview(match.group(2), messages[-1]["content"])
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else:
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yield ImageResponse(match.group(2), match.group(1))
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else:
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yield data["t"]
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else:
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yield data["t"]
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@classmethod
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async def upload_file(cls, client: StreamSession, cookies: Cookies, file: bytes, filename: str = None) -> dict:
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async with client.get(
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f"{cls.url}/api/get_nonce",
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cookies=cookies,
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) as response:
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await raise_for_status(response)
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upload_nonce = await response.text()
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data = FormData()
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data.add_field('file', file, content_type=is_accepted_format(file), filename=filename)
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async with client.post(
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f"{cls.url}/api/upload",
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data=data,
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headers={
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"X-Upload-Nonce": upload_nonce,
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},
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cookies=cookies
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) as response:
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await raise_for_status(response)
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result = await response.json()
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result["user_filename"] = filename
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result["size"] = len(file)
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return result
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@classmethod
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async def get_cookies(cls, client: StreamSession) -> Cookies:
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if not cls._cookies or cls._cookies_used >= 5:
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cls._cookies = await cls.create_cookies(client)
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cls._cookies_used = 0
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cls._cookies_used += 1
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return cls._cookies
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@classmethod
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def get_sdk(cls) -> str:
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return base64.standard_b64encode(json.dumps({
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"event_id":f"event-id-{str(uuid.uuid4())}",
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"app_session_id":f"app-session-id-{str(uuid.uuid4())}",
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"persistent_id":f"persistent-id-{uuid.uuid4()}",
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"client_sent_at":"","timezone":"",
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"stytch_user_id":f"user-live-{uuid.uuid4()}",
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"stytch_session_id":f"session-live-{uuid.uuid4()}",
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"app":{"identifier":"you.com"},
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"sdk":{"identifier":"Stytch.js Javascript SDK","version":"3.3.0"
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}}).encode()).decode()
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def get_auth() -> str:
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auth_uuid = "507a52ad-7e69-496b-aee0-1c9863c7c819"
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auth_token = f"public-token-live-{auth_uuid}:public-token-live-{auth_uuid}"
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auth = base64.standard_b64encode(auth_token.encode()).decode()
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return f"Basic {auth}"
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@classmethod
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async def create_cookies(cls, client: StreamSession) -> Cookies:
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if not cls._telemetry_ids:
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cls._telemetry_ids = await get_telemetry_ids()
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user_uuid = str(uuid.uuid4())
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telemetry_id = cls._telemetry_ids.pop()
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if debug.logging:
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print(f"Use telemetry_id: {telemetry_id}")
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async with client.post(
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"https://web.stytch.com/sdk/v1/passwords",
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headers={
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"Authorization": cls.get_auth(),
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"X-SDK-Client": cls.get_sdk(),
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"X-SDK-Parent-Host": cls.url,
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"Origin": "https://you.com",
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"Referer": "https://you.com/"
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},
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json={
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"dfp_telemetry_id": telemetry_id,
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"email": f"{user_uuid}@gmail.com",
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"password": f"{user_uuid}#{user_uuid}",
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"session_duration_minutes": 129600
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}
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) as response:
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await raise_for_status(response)
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session = (await response.json())["data"]
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return {
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"stytch_session": session["session_token"],
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'stytch_session_jwt': session["session_jwt"],
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'ydc_stytch_session': session["session_token"],
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'ydc_stytch_session_jwt': session["session_jwt"],
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} |