mirror of https://github.com/xtekky/gpt4free.git
Merge pull request #1269 from hlohaus/any
Add Response Handler to OpenaiChat
This commit is contained in:
commit
eeb26036ca
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@ -5,7 +5,7 @@ import random
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from ..typing import CreateResult, Messages
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from .base_provider import BaseProvider
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from .helper import WebDriver, format_prompt, get_browser, get_random_string
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from .helper import WebDriver, WebDriverSession, format_prompt, get_random_string
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from .. import debug
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class AItianhuSpace(BaseProvider):
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@ -24,7 +24,7 @@ class AItianhuSpace(BaseProvider):
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domain: str = None,
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proxy: str = None,
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timeout: int = 120,
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browser: WebDriver = None,
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web_driver: WebDriver = None,
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headless: bool = True,
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**kwargs
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) -> CreateResult:
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@ -38,36 +38,35 @@ class AItianhuSpace(BaseProvider):
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print(f"AItianhuSpace | using domain: {domain}")
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url = f"https://{domain}"
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prompt = format_prompt(messages)
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driver = browser if browser else get_browser("", headless, proxy)
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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with WebDriverSession(web_driver, "", headless=headless, proxy=proxy) as driver:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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wait = WebDriverWait(driver, timeout)
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wait = WebDriverWait(driver, timeout)
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# Bypass devtools detection
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driver.get("https://blank.page/")
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wait.until(EC.visibility_of_element_located((By.ID, "sheet")))
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driver.execute_script(f"""
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document.getElementById('sheet').addEventListener('click', () => {{
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window.open('{url}', '_blank');
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}});
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""")
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driver.find_element(By.ID, "sheet").click()
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time.sleep(10)
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# Bypass devtools detection
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driver.get("https://blank.page/")
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wait.until(EC.visibility_of_element_located((By.ID, "sheet")))
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driver.execute_script(f"""
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document.getElementById('sheet').addEventListener('click', () => {{
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window.open('{url}', '_blank');
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}});
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""")
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driver.find_element(By.ID, "sheet").click()
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time.sleep(10)
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original_window = driver.current_window_handle
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for window_handle in driver.window_handles:
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if window_handle != original_window:
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driver.close()
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driver.switch_to.window(window_handle)
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break
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original_window = driver.current_window_handle
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for window_handle in driver.window_handles:
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if window_handle != original_window:
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driver.close()
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driver.switch_to.window(window_handle)
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break
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# Wait for page load
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea.n-input__textarea-el")))
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# Wait for page load
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea.n-input__textarea-el")))
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try:
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# Register hook in XMLHttpRequest
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script = """
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const _http_request_open = XMLHttpRequest.prototype.open;
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@ -114,9 +113,4 @@ return "";
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elif chunk != "":
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break
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else:
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time.sleep(0.1)
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finally:
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if not browser:
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driver.close()
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time.sleep(0.1)
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driver.quit()
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time.sleep(0.1)
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@ -4,7 +4,7 @@ import time, json
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from ..typing import CreateResult, Messages
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from .base_provider import BaseProvider
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from .helper import WebDriver, format_prompt, get_browser
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from .helper import WebDriver, WebDriverSession, format_prompt
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class MyShell(BaseProvider):
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url = "https://app.myshell.ai/chat"
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@ -20,22 +20,27 @@ class MyShell(BaseProvider):
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stream: bool,
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proxy: str = None,
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timeout: int = 120,
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browser: WebDriver = None,
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web_driver: WebDriver = None,
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**kwargs
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) -> CreateResult:
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driver = browser if browser else get_browser("", False, proxy)
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with WebDriverSession(web_driver, "", proxy=proxy) as driver:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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driver.get(cls.url)
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driver.get(cls.url)
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try:
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# Wait for page load and cloudflare validation
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WebDriverWait(driver, timeout).until(
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EC.presence_of_element_located((By.CSS_SELECTOR, "body:not(.no-js)"))
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)
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# Send request with message
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data = {
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"botId": "4738",
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"conversation_scenario": 3,
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"message": format_prompt(messages),
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"messageType": 1
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}
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script = """
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response = await fetch("https://api.myshell.ai/v1/bot/chat/send_message", {
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"headers": {
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@ -49,12 +54,6 @@ response = await fetch("https://api.myshell.ai/v1/bot/chat/send_message", {
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})
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window.reader = response.body.getReader();
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"""
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data = {
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"botId": "4738",
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"conversation_scenario": 3,
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"message": format_prompt(messages),
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"messageType": 1
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}
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driver.execute_script(script.replace("{body}", json.dumps(data)))
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script = """
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chunk = await window.reader.read();
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@ -80,9 +79,4 @@ return content;
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elif chunk != "":
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break
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else:
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time.sleep(0.1)
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finally:
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if not browser:
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driver.close()
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time.sleep(0.1)
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driver.quit()
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time.sleep(0.1)
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@ -4,7 +4,7 @@ import time
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from ..typing import CreateResult, Messages
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from .base_provider import BaseProvider
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from .helper import WebDriver, format_prompt, get_browser
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from .helper import WebDriver, WebDriverSession, format_prompt
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class PerplexityAi(BaseProvider):
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url = "https://www.perplexity.ai"
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@ -20,27 +20,27 @@ class PerplexityAi(BaseProvider):
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stream: bool,
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proxy: str = None,
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timeout: int = 120,
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browser: WebDriver = None,
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web_driver: WebDriver = None,
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virtual_display: bool = True,
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copilot: bool = False,
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**kwargs
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) -> CreateResult:
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driver = browser if browser else get_browser("", False, proxy)
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with WebDriverSession(web_driver, "", virtual_display=virtual_display, proxy=proxy) as driver:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.webdriver.common.keys import Keys
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.webdriver.common.keys import Keys
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prompt = format_prompt(messages)
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prompt = format_prompt(messages)
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driver.get(f"{cls.url}/")
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wait = WebDriverWait(driver, timeout)
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driver.get(f"{cls.url}/")
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wait = WebDriverWait(driver, timeout)
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# Is page loaded?
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[placeholder='Ask anything...']")))
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# Is page loaded?
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wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[placeholder='Ask anything...']")))
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# Register WebSocket hook
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script = """
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# Register WebSocket hook
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script = """
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window._message = window._last_message = "";
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window._message_finished = false;
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const _socket_send = WebSocket.prototype.send;
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@ -67,22 +67,21 @@ WebSocket.prototype.send = function(...args) {
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return _socket_send.call(this, ...args);
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};
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"""
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driver.execute_script(script)
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driver.execute_script(script)
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if copilot:
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try:
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# Check for account
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driver.find_element(By.CSS_SELECTOR, "img[alt='User avatar']")
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# Enable copilot
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driver.find_element(By.CSS_SELECTOR, "button[data-testid='copilot-toggle']").click()
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except:
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raise RuntimeError("You need a account for copilot")
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if copilot:
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try:
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# Check for account
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driver.find_element(By.CSS_SELECTOR, "img[alt='User avatar']")
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# Enable copilot
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driver.find_element(By.CSS_SELECTOR, "button[data-testid='copilot-toggle']").click()
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except:
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raise RuntimeError("You need a account for copilot")
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# Submit prompt
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driver.find_element(By.CSS_SELECTOR, "textarea[placeholder='Ask anything...']").send_keys(prompt)
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driver.find_element(By.CSS_SELECTOR, "textarea[placeholder='Ask anything...']").send_keys(Keys.ENTER)
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# Submit prompt
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driver.find_element(By.CSS_SELECTOR, "textarea[placeholder='Ask anything...']").send_keys(prompt)
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driver.find_element(By.CSS_SELECTOR, "textarea[placeholder='Ask anything...']").send_keys(Keys.ENTER)
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try:
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# Stream response
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script = """
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if(window._message && window._message != window._last_message) {
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@ -104,9 +103,4 @@ if(window._message && window._message != window._last_message) {
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elif chunk != "":
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break
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else:
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time.sleep(0.1)
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finally:
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if not browser:
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driver.close()
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time.sleep(0.1)
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driver.quit()
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time.sleep(0.1)
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@ -5,7 +5,7 @@ from urllib.parse import quote
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from ..typing import CreateResult, Messages
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from .base_provider import BaseProvider
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from .helper import WebDriver, format_prompt, get_browser
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from .helper import WebDriver, WebDriverSession, format_prompt
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class Phind(BaseProvider):
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url = "https://www.phind.com"
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@ -21,13 +21,11 @@ class Phind(BaseProvider):
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stream: bool,
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proxy: str = None,
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timeout: int = 120,
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browser: WebDriver = None,
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web_driver: WebDriver = None,
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creative_mode: bool = None,
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**kwargs
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) -> CreateResult:
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try:
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driver = browser if browser else get_browser("", False, proxy)
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with WebDriverSession(web_driver, "", proxy=proxy) as driver:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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@ -102,9 +100,4 @@ if(window._reader) {
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elif chunk != "":
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break
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else:
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time.sleep(0.1)
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finally:
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if not browser:
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driver.close()
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time.sleep(0.1)
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driver.quit()
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time.sleep(0.1)
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@ -4,7 +4,7 @@ import time, json, time
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from ..typing import CreateResult, Messages
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from .base_provider import BaseProvider
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from .helper import WebDriver, get_browser
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from .helper import WebDriver, WebDriverSession
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class TalkAi(BaseProvider):
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url = "https://talkai.info"
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@ -19,16 +19,14 @@ class TalkAi(BaseProvider):
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messages: Messages,
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stream: bool,
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proxy: str = None,
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browser: WebDriver = None,
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web_driver: WebDriver = None,
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**kwargs
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) -> CreateResult:
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driver = browser if browser else get_browser("", False, proxy)
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with WebDriverSession(web_driver, "", virtual_display=True, proxy=proxy) as driver:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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try:
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driver.get(f"{cls.url}/chat/")
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# Wait for page load
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@ -86,9 +84,4 @@ return content;
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elif chunk != "":
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break
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else:
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time.sleep(0.1)
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finally:
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if not browser:
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driver.close()
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time.sleep(0.1)
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driver.quit()
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time.sleep(0.1)
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@ -6,6 +6,7 @@ import webbrowser
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import random
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import string
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import secrets
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import time
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from os import path
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from asyncio import AbstractEventLoop
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from platformdirs import user_config_dir
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@ -34,6 +35,10 @@ except ImportError:
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class ChromeOptions():
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def add_argument():
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pass
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try:
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from pyvirtualdisplay import Display
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except ImportError:
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pass
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from ..typing import Dict, Messages, Union, Tuple
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from .. import debug
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|
@ -144,6 +149,53 @@ def get_browser(
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options.add_argument(f'--proxy-server={proxy}')
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return Chrome(options=options, user_data_dir=user_data_dir, headless=headless)
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class WebDriverSession():
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def __init__(
|
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self,
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web_driver: WebDriver = None,
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user_data_dir: str = None,
|
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headless: bool = False,
|
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virtual_display: bool = False,
|
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proxy: str = None,
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options: ChromeOptions = None
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):
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self.web_driver = web_driver
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self.user_data_dir = user_data_dir
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self.headless = headless
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self.virtual_display = virtual_display
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self.proxy = proxy
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self.options = options
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def reopen(
|
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self,
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user_data_dir: str = None,
|
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headless: bool = False,
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virtual_display: bool = False
|
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) -> WebDriver:
|
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if user_data_dir == None:
|
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user_data_dir = self.user_data_dir
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self.default_driver.quit()
|
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if not virtual_display and self.virtual_display:
|
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self.virtual_display.stop()
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self.default_driver = get_browser(user_data_dir, headless, self.proxy)
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return self.default_driver
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|
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def __enter__(self) -> WebDriver:
|
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if self.web_driver:
|
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return self.web_driver
|
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if self.virtual_display == True:
|
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self.virtual_display = Display(size=(1920,1080))
|
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self.virtual_display.start()
|
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self.default_driver = get_browser(self.user_data_dir, self.headless, self.proxy, self.options)
|
||||
return self.default_driver
|
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|
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def __exit__(self, exc_type, exc_val, exc_tb):
|
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if self.default_driver:
|
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self.default_driver.close()
|
||||
time.sleep(0.1)
|
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self.default_driver.quit()
|
||||
if self.virtual_display:
|
||||
self.virtual_display.stop()
|
||||
|
||||
def get_random_string(length: int = 10) -> str:
|
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return ''.join(
|
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|
|
|
@ -4,7 +4,7 @@ import time
|
|||
|
||||
from ...typing import CreateResult, Messages
|
||||
from ..base_provider import BaseProvider
|
||||
from ..helper import WebDriver, format_prompt, get_browser
|
||||
from ..helper import WebDriver, WebDriverSession, format_prompt
|
||||
|
||||
class Bard(BaseProvider):
|
||||
url = "https://bard.google.com"
|
||||
|
@ -18,34 +18,32 @@ class Bard(BaseProvider):
|
|||
messages: Messages,
|
||||
stream: bool,
|
||||
proxy: str = None,
|
||||
browser: WebDriver = None,
|
||||
web_driver: WebDriver = None,
|
||||
user_data_dir: str = None,
|
||||
headless: bool = True,
|
||||
**kwargs
|
||||
) -> CreateResult:
|
||||
prompt = format_prompt(messages)
|
||||
driver = browser if browser else get_browser(user_data_dir, headless, proxy)
|
||||
session = WebDriverSession(web_driver, user_data_dir, headless, proxy=proxy)
|
||||
with session as driver:
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
|
||||
try:
|
||||
driver.get(f"{cls.url}/chat")
|
||||
wait = WebDriverWait(driver, 10 if headless else 240)
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
|
||||
except:
|
||||
# Reopen browser for login
|
||||
if not browser:
|
||||
driver.quit()
|
||||
driver = get_browser(None, False, proxy)
|
||||
try:
|
||||
driver.get(f"{cls.url}/chat")
|
||||
wait = WebDriverWait(driver, 240)
|
||||
wait = WebDriverWait(driver, 10 if headless else 240)
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
|
||||
else:
|
||||
raise RuntimeError("Prompt textarea not found. You may not be logged in.")
|
||||
except:
|
||||
# Reopen browser for login
|
||||
if not web_driver:
|
||||
driver = session.reopen(headless=False)
|
||||
driver.get(f"{cls.url}/chat")
|
||||
wait = WebDriverWait(driver, 240)
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
|
||||
else:
|
||||
raise RuntimeError("Prompt textarea not found. You may not be logged in.")
|
||||
|
||||
try:
|
||||
# Add hook in XMLHttpRequest
|
||||
script = """
|
||||
const _http_request_open = XMLHttpRequest.prototype.open;
|
||||
|
@ -72,9 +70,4 @@ XMLHttpRequest.prototype.open = function(method, url) {
|
|||
yield chunk
|
||||
return
|
||||
else:
|
||||
time.sleep(0.1)
|
||||
finally:
|
||||
if not browser:
|
||||
driver.close()
|
||||
time.sleep(0.1)
|
||||
driver.quit()
|
||||
time.sleep(0.1)
|
|
@ -1,20 +1,64 @@
|
|||
from __future__ import annotations
|
||||
|
||||
import uuid, json, time, asyncio
|
||||
import uuid, json, asyncio
|
||||
from py_arkose_generator.arkose import get_values_for_request
|
||||
from asyncstdlib.itertools import tee
|
||||
from async_property import async_cached_property
|
||||
|
||||
from ..base_provider import AsyncGeneratorProvider
|
||||
from ..helper import get_browser, get_cookies, format_prompt, get_event_loop
|
||||
from ..helper import get_browser, get_event_loop
|
||||
from ...typing import AsyncResult, Messages
|
||||
from ...requests import StreamSession
|
||||
from ... import debug
|
||||
|
||||
models = {
|
||||
"gpt-3.5": "text-davinci-002-render-sha",
|
||||
"gpt-3.5-turbo": "text-davinci-002-render-sha",
|
||||
"gpt-4": "gpt-4",
|
||||
"gpt-4-gizmo": "gpt-4-gizmo"
|
||||
}
|
||||
|
||||
class OpenaiChat(AsyncGeneratorProvider):
|
||||
url = "https://chat.openai.com"
|
||||
needs_auth = True
|
||||
working = True
|
||||
needs_auth = True
|
||||
supports_gpt_35_turbo = True
|
||||
_access_token = None
|
||||
supports_gpt_4 = True
|
||||
_access_token: str = None
|
||||
|
||||
@classmethod
|
||||
async def create(
|
||||
cls,
|
||||
prompt: str = None,
|
||||
model: str = "",
|
||||
messages: Messages = [],
|
||||
history_disabled: bool = False,
|
||||
action: str = "next",
|
||||
conversation_id: str = None,
|
||||
parent_id: str = None,
|
||||
**kwargs
|
||||
) -> Response:
|
||||
if prompt:
|
||||
messages.append({"role": "user", "content": prompt})
|
||||
generator = cls.create_async_generator(
|
||||
model,
|
||||
messages,
|
||||
history_disabled=history_disabled,
|
||||
action=action,
|
||||
conversation_id=conversation_id,
|
||||
parent_id=parent_id,
|
||||
response_fields=True,
|
||||
**kwargs
|
||||
)
|
||||
fields: ResponseFields = await anext(generator)
|
||||
if "access_token" not in kwargs:
|
||||
kwargs["access_token"] = cls._access_token
|
||||
return Response(
|
||||
generator,
|
||||
fields,
|
||||
action,
|
||||
messages,
|
||||
kwargs
|
||||
)
|
||||
|
||||
@classmethod
|
||||
async def create_async_generator(
|
||||
|
@ -25,50 +69,56 @@ class OpenaiChat(AsyncGeneratorProvider):
|
|||
timeout: int = 120,
|
||||
access_token: str = None,
|
||||
auto_continue: bool = False,
|
||||
cookies: dict = None,
|
||||
history_disabled: bool = True,
|
||||
action: str = "next",
|
||||
conversation_id: str = None,
|
||||
parent_id: str = None,
|
||||
response_fields: bool = False,
|
||||
**kwargs
|
||||
) -> AsyncResult:
|
||||
proxies = {"https": proxy}
|
||||
if not model:
|
||||
model = "gpt-3.5"
|
||||
elif model not in models:
|
||||
raise ValueError(f"Model are not supported: {model}")
|
||||
if not parent_id:
|
||||
parent_id = str(uuid.uuid4())
|
||||
if not access_token:
|
||||
access_token = await cls.get_access_token(cookies, proxies)
|
||||
access_token = await cls.get_access_token(proxy)
|
||||
headers = {
|
||||
"Accept": "text/event-stream",
|
||||
"Authorization": f"Bearer {access_token}",
|
||||
"Cookie": 'intercom-device-id-dgkjq2bp=0f047573-a750-46c8-be62-6d54b56e7bf0; ajs_user_id=user-iv3vxisaoNodwWpxmNpMfekH; ajs_anonymous_id=fd91be0b-0251-4222-ac1e-84b1071e9ec1; __Host-next-auth.csrf-token=d2b5f67d56f7dd6a0a42ae4becf2d1a6577b820a5edc88ab2018a59b9b506886%7Ce5c33eecc460988a137cbc72d90ee18f1b4e2f672104f368046df58e364376ac; _cfuvid=gt_mA.q6rue1.7d2.AR0KHpbVBS98i_ppfi.amj2._o-1700353424353-0-604800000; cf_clearance=GkHCfPSFU.NXGcHROoe4FantnqmnNcluhTNHz13Tk.M-1700353425-0-1-dfe77f81.816e9bc2.714615da-0.2.1700353425; __Secure-next-auth.callback-url=https%3A%2F%2Fchat.openai.com; intercom-session-dgkjq2bp=UWdrS1hHazk5VXN1c0V5Q1F0VXdCQmsyTU9pVjJMUkNpWnFnU3dKWmtIdGwxTC9wbjZuMk5hcEc0NWZDOGdndS0tSDNiaDNmMEdIL1RHU1dFWDBwOHFJUT09--f754361b91fddcd23a13b288dcb2bf8c7f509e91; _uasid="Z0FBQUFBQmxXVnV0a3dmVno4czRhcDc2ZVcwaUpSNUdZejlDR25YSk5NYTJQQkpyNmRvOGxjTHMyTlAxWmJhaURrMVhjLXZxQXdZeVpBbU1aczA5WUpHT2dwaS1MOWc4MnhyNWFnbGRzeGdJcGFKT0ZRdnBTMVJHcGV2MGNTSnVQY193c0hqUWIycHhQRVF4dENlZ3phcDdZeHgxdVhoalhrZmtZME9NbWhMQjdVR3Vzc3FRRk0ybjJjNWMwTWtIRjdPb19lUkFtRmV2MDVqd1kwWU11QTYtQkdZenEzVHhLMGplY1hZM3FlYUt1cVZaNWFTRldleEJETzJKQjk1VTJScy1GUnMxUVZWMnVxYklxMjdockVZbkZyd1R4U1RtMnA1ZzlSeXphdmVOVk9xeEdrRkVOSjhwTVd1QzFtQjhBcWdDaE92Q1VlM2pwcjFQTXRuLVJNRVlZSGpIdlZ0aGV3PT0="; _dd_s=rum=0&expire=1700356244884; __Secure-next-auth.session-token=eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIn0..3aK6Fbdy2_8f07bf.8eT2xgonrCnz7ySY6qXFsg3kzL6UQfXKAYaw3tyn-6_X9657zy47k9qGvmi9mF0QKozj5jau3_Ca62AQQ7FmeC6Y2F1urtzqrXqwTTsQ2LuzFPIQkx6KKb2DXc8zW2-oyEzJ_EY5yxfLB2RlRkSh3M7bYNZh4_ltEcfkj38s_kIPGMxv34udtPWGWET99MCjkdwQWXylJag4s0fETA0orsBAKnGCyqAUNJbb_D7BYtGSV-MQ925kZMG6Di_QmfO0HQWURDYjmdRNcuy1PT_xJ1DJko8sjL42i4j3RhkNDkhqCIqyYImz2eHFWHW7rYKxTkrBhlCPMS5hRdcCswD7JYPcSBiwnVRYgyOocFGXoFvQgIZ2FX9NiZ3SMEVM1VwIGSE-qH0H2nMa8_iBvsOgOWJgKjVAvzzyzZvRVDUUHzJrikSFPNONVDU3h-04c1kVL4qIu9DfeTPN7n8AvNmYwMbro0L9-IUAeXNo4-pwF0Kt-AtTsamqWvMqnK4O_YOyLnDDlvkmnOvDC2d5uinwlQIxr6APO6qFfGLlHiLZemKoekxEE1Fx70dl-Ouhk1VIzbF3OC6XNNxeBm9BUYUiHdL0wj2H9rHgX4cz6ZmS_3VTgpD6UJh-evu5KJ2gIvjYmVbyzEN0aPNDxfvBaOm-Ezpy4bUJ2bUrOwNn-0knWkDiTvjYmNhCyefPCtCF6rpKNay8PCw_yh79C4SdEP6Q4V7LI0Tvdi5uz7kLCiBC4AT9L0ao1WDX03mkUOpjvzHDvPLmj8chW3lTVm_kA0eYGQY4wT0jzleWlfV0Q8rB2oYECNLWksA3F1zlGfcl4lQjprvTXRePkvAbMpoJEsZD3Ylq7-foLDLk4-M2LYAFZDs282AY04sFjAjQBxTELFCCuDgTIgTXSIskY_XCxpVXDbdLlbCJY7XVK45ybwtfqwlKRp8Mo0B131uQAFc-migHaUaoGujxJJk21bP8F0OmhNYHBo4FQqE1rQm2JH5bNM7txKeh5KXdJgVUVbRSr7OIp_OF5-Bx_v9eRBGAIDkue26E2-O8Rnrp5zQ5TnvecQLDaUzWavCLPwsZ0_gsOLBxNOmauNYZtF8IElCsQSFDdhoiMxXsYUm4ZYKEAy3GWq8HGTAvBhNkh1hvnI7y-d8-DOaZf_D_D98-olZfm-LUkeosLNpPB9rxYMqViCiW3KrXE9Yx0wlFm5ePKaVvR7Ym_EPhSOhJBKFPCvdTdMZSNPUcW0ZJBVByq0A9sxD51lYq3gaFyqh94S4s_ox182AQ3szGzHkdgLcnQmJG9OYvKxAVcd43eg6_gODAYhx02GjbMw-7JTAhyXSeCrlMteHyOXl8hai-3LilC3PmMzi7Vbu49dhF1s4LcVlUowen5ira44rQQaB26mdaOUoQfodgt66M3RTWGPXyK1Nb72AzSXsCKyaQPbzeb6cN0fdGSdG4ktwvR04eFNEkquo_3aKu2GmUKTD0XcRx9dYrfXjgY-X1DDTVs1YND2gRhdx7FFEeBVjtbj2UqmG3Rvd4IcHGe7OnYWw2MHDcol68SsR1KckXWwWREz7YTGUnDB2M1kx_H4W2mjclytnlHOnYU3RflegRPeSTbdzUZJvGKXCCz45luHkQWN_4DExE76D-9YqbFIz-RY5yL4h-Zs-i2xjm2K-4xCMM9nQIOqhLMqixIZQ2ldDAidKoYtbs5ppzbcBLyrZM96bq9DwRBY3aacqWdlRd-TfX0wv5KO4fo0sSh5FsuhuN0zcEV_NNXgqIEM_p14EcPqgbrAvCBQ8os70TRBQLXiF0EniSofGjxwF8kQvUk3C6Wfc8cTTeN-E6GxCVTn91HBwA1iSEZlRLMVb8_BcRJNqwbgnb_07jR6-eo42u88CR3KQdAWwbQRdMxsURFwZ0ujHXVGG0Ll6qCFBcHXWyDO1x1yHdHnw8_8yF26pnA2iPzrFR-8glMgIA-639sLuGAxjO1_ZuvJ9CAB41Az9S_jaZwaWy215Hk4-BRYD-MKmHtonwo3rrxhE67WJgbbu14efsw5nT6ow961pffgwXov5VA1Rg7nv1E8RvQOx7umWW6o8R4W6L8f2COsmPTXfgwIjoJKkjhUqAQ8ceG7cM0ET-38yaC0ObU8EkXfdGGgxI28qTEZWczG66_iM4hw7QEGCY5Cz2kbO6LETAiw9OsSigtBvDS7f0Ou0bZ41pdK7G3FmvdZAnjWPjObnDF4k4uWfn7mzt0fgj3FyqK20JezRDyGuAbUUhOvtZpc9sJpzxR34eXEZTouuALrHcGuNij4z6rx51FrQsaMtiup8QVrhtZbXtKLMYnWYSbkhuTeN2wY-xV1ZUsQlakIZszzGF7kuIG87KKWMpuPMvbXjz6Pp_gWJiIC6aQuk8xl5g0iBPycf_6Q-MtpuYxzNE2TpI1RyR9mHeXmteoRzrFiWp7yEC-QGNFyAJgxTqxM3CjHh1Jt6IddOsmn89rUo1dZM2Smijv_fbIv3avXLkIPX1KZjILeJCtpU0wAdsihDaRiRgDdx8fG__F8zuP0n7ziHas73cwrfg-Ujr6DhC0gTNxyd9dDA_oho9N7CQcy6EFmfNF2te7zpLony0859jtRv2t1TnpzAa1VvMK4u6mXuJ2XDo04_6GzLO3aPHinMdl1BcIAWnqAqWAu3euGFLTHOhXlfijut9N1OCifd_zWjhVtzlR39uFeCQBU5DyQArzQurdoMx8U1ETsnWgElxGSStRW-YQoPsAJ87eg9trqKspFpTVlAVN3t1GtoEAEhcwhe81SDssLmKGLc.7PqS6jRGTIfgTPlO7Ognvg; __cf_bm=VMWoAKEB45hQSwxXtnYXcurPaGZDJS4dMi6dIMFLwdw-1700355394-0-ATVsbq97iCaTaJbtYr8vtg1Zlbs3nLrJLKVBHYa2Jn7hhkGclqAy8Gbyn5ePEhDRqj93MsQmtayfYLqY5n4WiLY=; __cflb=0H28vVfF4aAyg2hkHFH9CkdHRXPsfCUf6VpYf2kz3RX'
|
||||
}
|
||||
messages = [
|
||||
{
|
||||
"id": str(uuid.uuid4()),
|
||||
"author": {"role": "user"},
|
||||
"content": {"content_type": "text", "parts": [format_prompt(messages)]},
|
||||
},
|
||||
]
|
||||
message_id = str(uuid.uuid4())
|
||||
data = {
|
||||
"action": "next",
|
||||
"arkose_token": await get_arkose_token(proxy),
|
||||
"messages": messages,
|
||||
"conversation_id": None,
|
||||
"parent_message_id": message_id,
|
||||
"model": "text-davinci-002-render-sha",
|
||||
"history_and_training_disabled": not auto_continue,
|
||||
}
|
||||
conversation_id = None
|
||||
end_turn = False
|
||||
while not end_turn:
|
||||
if not auto_continue:
|
||||
end_turn = True
|
||||
async with StreamSession(
|
||||
proxies=proxies,
|
||||
headers=headers,
|
||||
impersonate="chrome107",
|
||||
timeout=timeout
|
||||
) as session:
|
||||
async with StreamSession(
|
||||
proxies={"https": proxy},
|
||||
impersonate="chrome110",
|
||||
headers=headers,
|
||||
timeout=timeout
|
||||
) as session:
|
||||
data = {
|
||||
"action": action,
|
||||
"arkose_token": await get_arkose_token(proxy, timeout),
|
||||
"conversation_id": conversation_id,
|
||||
"parent_message_id": parent_id,
|
||||
"model": models[model],
|
||||
"history_and_training_disabled": history_disabled and not auto_continue,
|
||||
}
|
||||
if action != "continue":
|
||||
data["messages"] = [{
|
||||
"id": str(uuid.uuid4()),
|
||||
"author": {"role": "user"},
|
||||
"content": {"content_type": "text", "parts": [messages[-1]["content"]]},
|
||||
}]
|
||||
first = True
|
||||
end_turn = EndTurn()
|
||||
while first or auto_continue and not end_turn.is_end:
|
||||
first = False
|
||||
async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
|
||||
try:
|
||||
response.raise_for_status()
|
||||
except:
|
||||
raise RuntimeError(f"Response: {await response.text()}")
|
||||
last_message = ""
|
||||
raise RuntimeError(f"Error {response.status_code}: {await response.text()}")
|
||||
last_message = 0
|
||||
async for line in response.iter_lines():
|
||||
if line.startswith(b"data: "):
|
||||
line = line[6:]
|
||||
|
@ -82,50 +132,52 @@ class OpenaiChat(AsyncGeneratorProvider):
|
|||
continue
|
||||
if "error" in line and line["error"]:
|
||||
raise RuntimeError(line["error"])
|
||||
end_turn = line["message"]["end_turn"]
|
||||
message_id = line["message"]["id"]
|
||||
if line["conversation_id"]:
|
||||
conversation_id = line["conversation_id"]
|
||||
if "message_type" not in line["message"]["metadata"]:
|
||||
continue
|
||||
if line["message"]["metadata"]["message_type"] in ("next", "continue"):
|
||||
if line["message"]["author"]["role"] != "assistant":
|
||||
continue
|
||||
if line["message"]["metadata"]["message_type"] in ("next", "continue", "variant"):
|
||||
conversation_id = line["conversation_id"]
|
||||
parent_id = line["message"]["id"]
|
||||
if response_fields:
|
||||
response_fields = False
|
||||
yield ResponseFields(conversation_id, parent_id, end_turn)
|
||||
new_message = line["message"]["content"]["parts"][0]
|
||||
yield new_message[len(last_message):]
|
||||
last_message = new_message
|
||||
if end_turn:
|
||||
return
|
||||
yield new_message[last_message:]
|
||||
last_message = len(new_message)
|
||||
if "finish_details" in line["message"]["metadata"]:
|
||||
if line["message"]["metadata"]["finish_details"]["type"] == "max_tokens":
|
||||
end_turn.end()
|
||||
|
||||
data = {
|
||||
"action": "continue",
|
||||
"arkose_token": await get_arkose_token(proxy),
|
||||
"arkose_token": await get_arkose_token(proxy, timeout),
|
||||
"conversation_id": conversation_id,
|
||||
"parent_message_id": message_id,
|
||||
"model": "text-davinci-002-render-sha",
|
||||
"parent_message_id": parent_id,
|
||||
"model": models[model],
|
||||
"history_and_training_disabled": False,
|
||||
}
|
||||
await asyncio.sleep(5)
|
||||
|
||||
@classmethod
|
||||
async def browse_access_token(cls) -> str:
|
||||
async def browse_access_token(cls, proxy: str = None) -> str:
|
||||
def browse() -> str:
|
||||
try:
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
|
||||
driver = get_browser()
|
||||
driver = get_browser("~/openai", proxy=proxy)
|
||||
except ImportError:
|
||||
return
|
||||
|
||||
driver.get(f"{cls.url}/")
|
||||
try:
|
||||
driver.get(f"{cls.url}/")
|
||||
WebDriverWait(driver, 1200).until(
|
||||
EC.presence_of_element_located((By.ID, "prompt-textarea"))
|
||||
)
|
||||
javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
|
||||
return driver.execute_script(javascript)
|
||||
finally:
|
||||
driver.close()
|
||||
time.sleep(0.1)
|
||||
driver.quit()
|
||||
loop = get_event_loop()
|
||||
return await loop.run_in_executor(
|
||||
|
@ -134,22 +186,9 @@ class OpenaiChat(AsyncGeneratorProvider):
|
|||
)
|
||||
|
||||
@classmethod
|
||||
async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
|
||||
async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
|
||||
async with session.get(f"{cls.url}/api/auth/session") as response:
|
||||
response.raise_for_status()
|
||||
auth = await response.json()
|
||||
if "accessToken" in auth:
|
||||
return auth["accessToken"]
|
||||
|
||||
@classmethod
|
||||
async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
|
||||
async def get_access_token(cls, proxy: str = None) -> str:
|
||||
if not cls._access_token:
|
||||
cookies = cookies if cookies else get_cookies("chat.openai.com")
|
||||
if cookies:
|
||||
cls._access_token = await cls.fetch_access_token(cookies, proxies)
|
||||
if not cls._access_token:
|
||||
cls._access_token = await cls.browse_access_token()
|
||||
cls._access_token = await cls.browse_access_token(proxy)
|
||||
if not cls._access_token:
|
||||
raise RuntimeError("Read access token failed")
|
||||
return cls._access_token
|
||||
|
@ -163,12 +202,11 @@ class OpenaiChat(AsyncGeneratorProvider):
|
|||
("stream", "bool"),
|
||||
("proxy", "str"),
|
||||
("access_token", "str"),
|
||||
("cookies", "dict[str, str]")
|
||||
]
|
||||
param = ", ".join([": ".join(p) for p in params])
|
||||
return f"g4f.provider.{cls.__name__} supports: ({param})"
|
||||
|
||||
async def get_arkose_token(proxy: str = None) -> str:
|
||||
async def get_arkose_token(proxy: str = None, timeout: int = None) -> str:
|
||||
config = {
|
||||
"pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC",
|
||||
"surl": "https://tcr9i.chat.openai.com",
|
||||
|
@ -181,10 +219,98 @@ async def get_arkose_token(proxy: str = None) -> str:
|
|||
async with StreamSession(
|
||||
proxies={"https": proxy},
|
||||
impersonate="chrome107",
|
||||
timeout=timeout
|
||||
) as session:
|
||||
async with session.post(**args_for_request) as response:
|
||||
response.raise_for_status()
|
||||
decoded_json = await response.json()
|
||||
if "token" in decoded_json:
|
||||
return decoded_json["token"]
|
||||
raise RuntimeError(f"Response: {decoded_json}")
|
||||
raise RuntimeError(f"Response: {decoded_json}")
|
||||
|
||||
class EndTurn():
|
||||
def __init__(self):
|
||||
self.is_end = False
|
||||
|
||||
def end(self):
|
||||
self.is_end = True
|
||||
|
||||
class ResponseFields():
|
||||
def __init__(
|
||||
self,
|
||||
conversation_id: str,
|
||||
message_id: str,
|
||||
end_turn: EndTurn
|
||||
):
|
||||
self.conversation_id = conversation_id
|
||||
self.message_id = message_id
|
||||
self._end_turn = end_turn
|
||||
|
||||
class Response():
|
||||
def __init__(
|
||||
self,
|
||||
generator: AsyncResult,
|
||||
fields: ResponseFields,
|
||||
action: str,
|
||||
messages: Messages,
|
||||
options: dict
|
||||
):
|
||||
self.aiter, self.copy = tee(generator)
|
||||
self.fields = fields
|
||||
self.action = action
|
||||
self._messages = messages
|
||||
self._options = options
|
||||
|
||||
def __aiter__(self):
|
||||
return self.aiter
|
||||
|
||||
@async_cached_property
|
||||
async def message(self) -> str:
|
||||
return "".join([chunk async for chunk in self.copy])
|
||||
|
||||
async def next(self, prompt: str, **kwargs) -> Response:
|
||||
return await OpenaiChat.create(
|
||||
**self._options,
|
||||
prompt=prompt,
|
||||
messages=await self.messages,
|
||||
action="next",
|
||||
conversation_id=self.fields.conversation_id,
|
||||
parent_id=self.fields.message_id,
|
||||
**kwargs
|
||||
)
|
||||
|
||||
async def do_continue(self, **kwargs) -> Response:
|
||||
if self.end_turn:
|
||||
raise RuntimeError("Can't continue message. Message already finished.")
|
||||
return await OpenaiChat.create(
|
||||
**self._options,
|
||||
messages=await self.messages,
|
||||
action="continue",
|
||||
conversation_id=self.fields.conversation_id,
|
||||
parent_id=self.fields.message_id,
|
||||
**kwargs
|
||||
)
|
||||
|
||||
async def variant(self, **kwargs) -> Response:
|
||||
if self.action != "next":
|
||||
raise RuntimeError("Can't create variant with continue or variant request.")
|
||||
return await OpenaiChat.create(
|
||||
**self._options,
|
||||
messages=self._messages,
|
||||
action="variant",
|
||||
conversation_id=self.fields.conversation_id,
|
||||
parent_id=self.fields.message_id,
|
||||
**kwargs
|
||||
)
|
||||
|
||||
@async_cached_property
|
||||
async def messages(self):
|
||||
messages = self._messages
|
||||
messages.append({
|
||||
"role": "assistant", "content": await self.message
|
||||
})
|
||||
return messages
|
||||
|
||||
@property
|
||||
def end_turn(self):
|
||||
return self.fields._end_turn.is_end
|
|
@ -4,7 +4,7 @@ import time
|
|||
|
||||
from ...typing import CreateResult, Messages
|
||||
from ..base_provider import BaseProvider
|
||||
from ..helper import WebDriver, format_prompt, get_browser
|
||||
from ..helper import WebDriver, WebDriverSession, format_prompt
|
||||
|
||||
models = {
|
||||
"meta-llama/Llama-2-7b-chat-hf": {"name": "Llama-2-7b"},
|
||||
|
@ -33,7 +33,7 @@ class Poe(BaseProvider):
|
|||
messages: Messages,
|
||||
stream: bool,
|
||||
proxy: str = None,
|
||||
browser: WebDriver = None,
|
||||
web_driver: WebDriver = None,
|
||||
user_data_dir: str = None,
|
||||
headless: bool = True,
|
||||
**kwargs
|
||||
|
@ -43,56 +43,54 @@ class Poe(BaseProvider):
|
|||
elif model not in models:
|
||||
raise ValueError(f"Model are not supported: {model}")
|
||||
prompt = format_prompt(messages)
|
||||
driver = browser if browser else get_browser(user_data_dir, headless, proxy)
|
||||
|
||||
script = """
|
||||
window._message = window._last_message = "";
|
||||
window._message_finished = false;
|
||||
class ProxiedWebSocket extends WebSocket {
|
||||
constructor(url, options) {
|
||||
super(url, options);
|
||||
this.addEventListener("message", (e) => {
|
||||
const data = JSON.parse(JSON.parse(e.data)["messages"][0])["payload"]["data"];
|
||||
if ("messageAdded" in data) {
|
||||
if (data["messageAdded"]["author"] != "human") {
|
||||
window._message = data["messageAdded"]["text"];
|
||||
if (data["messageAdded"]["state"] == "complete") {
|
||||
window._message_finished = true;
|
||||
session = WebDriverSession(web_driver, user_data_dir, headless, proxy=proxy)
|
||||
with session as driver:
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
|
||||
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
|
||||
"source": """
|
||||
window._message = window._last_message = "";
|
||||
window._message_finished = false;
|
||||
class ProxiedWebSocket extends WebSocket {
|
||||
constructor(url, options) {
|
||||
super(url, options);
|
||||
this.addEventListener("message", (e) => {
|
||||
const data = JSON.parse(JSON.parse(e.data)["messages"][0])["payload"]["data"];
|
||||
if ("messageAdded" in data) {
|
||||
if (data["messageAdded"]["author"] != "human") {
|
||||
window._message = data["messageAdded"]["text"];
|
||||
if (data["messageAdded"]["state"] == "complete") {
|
||||
window._message_finished = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
window.WebSocket = ProxiedWebSocket;
|
||||
"""
|
||||
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
|
||||
"source": script
|
||||
})
|
||||
});
|
||||
}
|
||||
}
|
||||
window.WebSocket = ProxiedWebSocket;
|
||||
"""
|
||||
})
|
||||
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
|
||||
try:
|
||||
driver.get(f"{cls.url}/{models[model]['name']}")
|
||||
wait = WebDriverWait(driver, 10 if headless else 240)
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
|
||||
except:
|
||||
# Reopen browser for login
|
||||
if not browser:
|
||||
driver.quit()
|
||||
driver = get_browser(None, False, proxy)
|
||||
try:
|
||||
driver.get(f"{cls.url}/{models[model]['name']}")
|
||||
wait = WebDriverWait(driver, 240)
|
||||
wait = WebDriverWait(driver, 10 if headless else 240)
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
|
||||
else:
|
||||
raise RuntimeError("Prompt textarea not found. You may not be logged in.")
|
||||
except:
|
||||
# Reopen browser for login
|
||||
if not web_driver:
|
||||
driver = session.reopen(headless=False)
|
||||
driver.get(f"{cls.url}/{models[model]['name']}")
|
||||
wait = WebDriverWait(driver, 240)
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
|
||||
else:
|
||||
raise RuntimeError("Prompt textarea not found. You may not be logged in.")
|
||||
|
||||
driver.find_element(By.CSS_SELECTOR, "footer textarea[class^='GrowingTextArea']").send_keys(prompt)
|
||||
driver.find_element(By.CSS_SELECTOR, "footer button[class*='ChatMessageSendButton']").click()
|
||||
driver.find_element(By.CSS_SELECTOR, "footer textarea[class^='GrowingTextArea']").send_keys(prompt)
|
||||
driver.find_element(By.CSS_SELECTOR, "footer button[class*='ChatMessageSendButton']").click()
|
||||
|
||||
try:
|
||||
script = """
|
||||
if(window._message && window._message != window._last_message) {
|
||||
try {
|
||||
|
@ -113,9 +111,4 @@ if(window._message && window._message != window._last_message) {
|
|||
elif chunk != "":
|
||||
break
|
||||
else:
|
||||
time.sleep(0.1)
|
||||
finally:
|
||||
if not browser:
|
||||
driver.close()
|
||||
time.sleep(0.1)
|
||||
driver.quit()
|
||||
time.sleep(0.1)
|
|
@ -4,7 +4,7 @@ import time
|
|||
|
||||
from ...typing import CreateResult, Messages
|
||||
from ..base_provider import BaseProvider
|
||||
from ..helper import WebDriver, format_prompt, get_browser
|
||||
from ..helper import WebDriver, WebDriverSession, format_prompt
|
||||
|
||||
models = {
|
||||
"theb-ai": "TheB.AI",
|
||||
|
@ -44,48 +44,19 @@ class Theb(BaseProvider):
|
|||
messages: Messages,
|
||||
stream: bool,
|
||||
proxy: str = None,
|
||||
browser: WebDriver = None,
|
||||
headless: bool = True,
|
||||
web_driver: WebDriver = None,
|
||||
virtual_display: bool = True,
|
||||
**kwargs
|
||||
) -> CreateResult:
|
||||
if model in models:
|
||||
model = models[model]
|
||||
prompt = format_prompt(messages)
|
||||
driver = browser if browser else get_browser(None, headless, proxy)
|
||||
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
from selenium.webdriver.common.keys import Keys
|
||||
|
||||
|
||||
try:
|
||||
driver.get(f"{cls.url}/home")
|
||||
wait = WebDriverWait(driver, 10 if headless else 240)
|
||||
wait.until(EC.visibility_of_element_located((By.TAG_NAME, "body")))
|
||||
time.sleep(0.1)
|
||||
try:
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
except:
|
||||
pass
|
||||
if model:
|
||||
# Load model panel
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "#SelectModel svg")))
|
||||
time.sleep(0.1)
|
||||
driver.find_element(By.CSS_SELECTOR, "#SelectModel svg").click()
|
||||
try:
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
except:
|
||||
pass
|
||||
# Select model
|
||||
selector = f"div.flex-col div.items-center span[title='{model}']"
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, selector)))
|
||||
span = driver.find_element(By.CSS_SELECTOR, selector)
|
||||
container = span.find_element(By.XPATH, "//div/../..")
|
||||
button = container.find_element(By.CSS_SELECTOR, "button.btn-blue.btn-small.border")
|
||||
button.click()
|
||||
web_session = WebDriverSession(web_driver, virtual_display=virtual_display, proxy=proxy)
|
||||
with web_session as driver:
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
from selenium.webdriver.common.keys import Keys
|
||||
|
||||
# Register fetch hook
|
||||
script = """
|
||||
|
@ -109,7 +80,47 @@ window.fetch = (url, options) => {
|
|||
}
|
||||
window._last_message = "";
|
||||
"""
|
||||
driver.execute_script(script)
|
||||
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
|
||||
"source": script
|
||||
})
|
||||
|
||||
try:
|
||||
driver.get(f"{cls.url}/home")
|
||||
wait = WebDriverWait(driver, 5)
|
||||
wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
|
||||
except:
|
||||
driver = web_session.reopen()
|
||||
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
|
||||
"source": script
|
||||
})
|
||||
driver.get(f"{cls.url}/home")
|
||||
wait = WebDriverWait(driver, 240)
|
||||
wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
|
||||
|
||||
time.sleep(200)
|
||||
try:
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
except:
|
||||
pass
|
||||
if model:
|
||||
# Load model panel
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "#SelectModel svg")))
|
||||
time.sleep(0.1)
|
||||
driver.find_element(By.CSS_SELECTOR, "#SelectModel svg").click()
|
||||
try:
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
|
||||
except:
|
||||
pass
|
||||
# Select model
|
||||
selector = f"div.flex-col div.items-center span[title='{model}']"
|
||||
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, selector)))
|
||||
span = driver.find_element(By.CSS_SELECTOR, selector)
|
||||
container = span.find_element(By.XPATH, "//div/../..")
|
||||
button = container.find_element(By.CSS_SELECTOR, "button.btn-blue.btn-small.border")
|
||||
button.click()
|
||||
|
||||
|
||||
# Submit prompt
|
||||
wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
|
||||
|
@ -150,9 +161,4 @@ return '';
|
|||
elif chunk != "":
|
||||
break
|
||||
else:
|
||||
time.sleep(0.1)
|
||||
finally:
|
||||
if not browser:
|
||||
driver.close()
|
||||
time.sleep(0.1)
|
||||
driver.quit()
|
||||
time.sleep(0.1)
|
163
g4f/requests.py
163
g4f/requests.py
|
@ -1,24 +1,15 @@
|
|||
from __future__ import annotations
|
||||
|
||||
import warnings
|
||||
import json
|
||||
import asyncio
|
||||
from contextlib import asynccontextmanager
|
||||
from functools import partialmethod
|
||||
from asyncio import Future, Queue
|
||||
from typing import AsyncGenerator, Union, Optional
|
||||
from typing import AsyncGenerator
|
||||
|
||||
from curl_cffi.requests import AsyncSession, Response
|
||||
import curl_cffi
|
||||
|
||||
is_newer_0_5_8: bool = hasattr(AsyncSession, "_set_cookies") or hasattr(curl_cffi.requests.Cookies, "get_cookies_for_curl")
|
||||
is_newer_0_5_9: bool = hasattr(curl_cffi.AsyncCurl, "remove_handle")
|
||||
is_newer_0_5_10: bool = hasattr(AsyncSession, "release_curl")
|
||||
|
||||
|
||||
class StreamResponse:
|
||||
def __init__(self, inner: Response, queue: Queue[bytes]) -> None:
|
||||
def __init__(self, inner: Response) -> None:
|
||||
self.inner: Response = inner
|
||||
self.queue: Queue[bytes] = queue
|
||||
self.request = inner.request
|
||||
self.status_code: int = inner.status_code
|
||||
self.reason: str = inner.reason
|
||||
|
@ -27,148 +18,32 @@ class StreamResponse:
|
|||
self.cookies = inner.cookies
|
||||
|
||||
async def text(self) -> str:
|
||||
content: bytes = await self.read()
|
||||
return content.decode()
|
||||
return await self.inner.atext()
|
||||
|
||||
def raise_for_status(self) -> None:
|
||||
if not self.ok:
|
||||
raise RuntimeError(f"HTTP Error {self.status_code}: {self.reason}")
|
||||
self.inner.raise_for_status()
|
||||
|
||||
async def json(self, **kwargs) -> dict:
|
||||
return json.loads(await self.read(), **kwargs)
|
||||
return json.loads(await self.inner.acontent(), **kwargs)
|
||||
|
||||
async def iter_lines(
|
||||
self, chunk_size: Optional[int] = None, decode_unicode: bool = False, delimiter: Optional[str] = None
|
||||
) -> AsyncGenerator[bytes, None]:
|
||||
"""
|
||||
Copied from: https://requests.readthedocs.io/en/latest/_modules/requests/models/
|
||||
which is under the License: Apache 2.0
|
||||
"""
|
||||
async def iter_lines(self) -> AsyncGenerator[bytes, None]:
|
||||
async for line in self.inner.aiter_lines():
|
||||
yield line
|
||||
|
||||
pending: bytes = None
|
||||
|
||||
async for chunk in self.iter_content(
|
||||
chunk_size=chunk_size, decode_unicode=decode_unicode
|
||||
):
|
||||
if pending is not None:
|
||||
chunk = pending + chunk
|
||||
lines = chunk.split(delimiter) if delimiter else chunk.splitlines()
|
||||
if lines and lines[-1] and chunk and lines[-1][-1] == chunk[-1]:
|
||||
pending = lines.pop()
|
||||
else:
|
||||
pending = None
|
||||
|
||||
for line in lines:
|
||||
yield line
|
||||
|
||||
if pending is not None:
|
||||
yield pending
|
||||
|
||||
async def iter_content(
|
||||
self, chunk_size: Optional[int] = None, decode_unicode: bool = False
|
||||
) -> AsyncGenerator[bytes, None]:
|
||||
if chunk_size:
|
||||
warnings.warn("chunk_size is ignored, there is no way to tell curl that.")
|
||||
if decode_unicode:
|
||||
raise NotImplementedError()
|
||||
while True:
|
||||
chunk = await self.queue.get()
|
||||
if chunk is None:
|
||||
return
|
||||
async def iter_content(self) -> AsyncGenerator[bytes, None]:
|
||||
async for chunk in self.inner.aiter_content():
|
||||
yield chunk
|
||||
|
||||
async def read(self) -> bytes:
|
||||
return b"".join([chunk async for chunk in self.iter_content()])
|
||||
|
||||
|
||||
class StreamRequest:
|
||||
def __init__(self, session: AsyncSession, method: str, url: str, **kwargs: Union[bool, int, str]) -> None:
|
||||
self.session: AsyncSession = session
|
||||
self.loop: asyncio.AbstractEventLoop = session.loop if session.loop else asyncio.get_running_loop()
|
||||
self.queue: Queue[bytes] = Queue()
|
||||
self.method: str = method
|
||||
self.url: str = url
|
||||
self.options: dict = kwargs
|
||||
self.handle: Optional[curl_cffi.AsyncCurl] = None
|
||||
|
||||
def _on_content(self, data: bytes) -> None:
|
||||
if not self.enter.done():
|
||||
self.enter.set_result(None)
|
||||
self.queue.put_nowait(data)
|
||||
|
||||
def _on_done(self, task: Future) -> None:
|
||||
if not self.enter.done():
|
||||
self.enter.set_result(None)
|
||||
self.queue.put_nowait(None)
|
||||
|
||||
self.loop.call_soon(self.release_curl)
|
||||
|
||||
async def fetch(self) -> StreamResponse:
|
||||
if self.handle:
|
||||
raise RuntimeError("Request already started")
|
||||
self.curl: curl_cffi.AsyncCurl = await self.session.pop_curl()
|
||||
self.enter: asyncio.Future = self.loop.create_future()
|
||||
if is_newer_0_5_10:
|
||||
request, _, header_buffer, _, _ = self.session._set_curl_options(
|
||||
self.curl,
|
||||
self.method,
|
||||
self.url,
|
||||
content_callback=self._on_content,
|
||||
**self.options
|
||||
)
|
||||
else:
|
||||
request, _, header_buffer = self.session._set_curl_options(
|
||||
self.curl,
|
||||
self.method,
|
||||
self.url,
|
||||
content_callback=self._on_content,
|
||||
**self.options
|
||||
)
|
||||
if is_newer_0_5_9:
|
||||
self.handle = self.session.acurl.add_handle(self.curl)
|
||||
else:
|
||||
await self.session.acurl.add_handle(self.curl, False)
|
||||
self.handle = self.session.acurl._curl2future[self.curl]
|
||||
self.handle.add_done_callback(self._on_done)
|
||||
# Wait for headers
|
||||
await self.enter
|
||||
# Raise exceptions
|
||||
if self.handle.done():
|
||||
self.handle.result()
|
||||
if is_newer_0_5_8:
|
||||
response = self.session._parse_response(self.curl, _, header_buffer)
|
||||
response.request = request
|
||||
else:
|
||||
response = self.session._parse_response(self.curl, request, _, header_buffer)
|
||||
return StreamResponse(response, self.queue)
|
||||
|
||||
async def __aenter__(self) -> StreamResponse:
|
||||
return await self.fetch()
|
||||
|
||||
async def __aexit__(self, *args) -> None:
|
||||
self.release_curl()
|
||||
|
||||
def release_curl(self) -> None:
|
||||
if is_newer_0_5_10:
|
||||
self.session.release_curl(self.curl)
|
||||
return
|
||||
if not self.curl:
|
||||
return
|
||||
self.curl.clean_after_perform()
|
||||
if is_newer_0_5_9:
|
||||
self.session.acurl.remove_handle(self.curl)
|
||||
elif not self.handle.done() and not self.handle.cancelled():
|
||||
self.session.acurl.set_result(self.curl)
|
||||
self.curl.reset()
|
||||
self.session.push_curl(self.curl)
|
||||
self.curl = None
|
||||
|
||||
|
||||
class StreamSession(AsyncSession):
|
||||
def request(
|
||||
@asynccontextmanager
|
||||
async def request(
|
||||
self, method: str, url: str, **kwargs
|
||||
) -> StreamRequest:
|
||||
return StreamRequest(self, method, url, **kwargs)
|
||||
) -> AsyncGenerator[StreamResponse]:
|
||||
response = await super().request(method, url, stream=True, **kwargs)
|
||||
try:
|
||||
yield StreamResponse(response)
|
||||
finally:
|
||||
await response.aclose()
|
||||
|
||||
head = partialmethod(request, "HEAD")
|
||||
get = partialmethod(request, "GET")
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
requests
|
||||
pycryptodome
|
||||
curl_cffi
|
||||
curl_cffi>=0.5.10b4
|
||||
aiohttp
|
||||
certifi
|
||||
browser_cookie3
|
||||
|
@ -21,4 +21,6 @@ asgiref
|
|||
fastapi
|
||||
uvicorn
|
||||
flask
|
||||
py-arkose-generator
|
||||
py-arkose-generator
|
||||
asyncstdlib
|
||||
async-property
|
Loading…
Reference in New Issue