From f6ef3cb2237d8c336e915ef77ddbe6f37934c4fd Mon Sep 17 00:00:00 2001
From: MIDORIBIN <aquarion123@gmail.com>
Date: Fri, 28 Jul 2023 19:07:17 +0900
Subject: refactor: refactor provider

---
 g4f/Provider/Ails.py | 116 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 116 insertions(+)
 create mode 100644 g4f/Provider/Ails.py

(limited to 'g4f/Provider/Ails.py')

diff --git a/g4f/Provider/Ails.py b/g4f/Provider/Ails.py
new file mode 100644
index 00000000..52b3745d
--- /dev/null
+++ b/g4f/Provider/Ails.py
@@ -0,0 +1,116 @@
+import hashlib
+import json
+import time
+import uuid
+from datetime import datetime
+
+import requests
+
+from ..typing import SHA256, Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class Ails(BaseProvider):
+    url: str = "https://ai.ls"
+    working = True
+    supports_stream = True
+    supports_gpt_35_turbo = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool,
+        **kwargs: Any,
+    ) -> CreateResult:
+        headers = {
+            "authority": "api.caipacity.com",
+            "accept": "*/*",
+            "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
+            "authorization": "Bearer free",
+            "client-id": str(uuid.uuid4()),
+            "client-v": _get_client_v(),
+            "content-type": "application/json",
+            "origin": "https://ai.ls",
+            "referer": "https://ai.ls/",
+            "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+            "sec-ch-ua-mobile": "?0",
+            "sec-ch-ua-platform": '"Windows"',
+            "sec-fetch-dest": "empty",
+            "sec-fetch-mode": "cors",
+            "sec-fetch-site": "cross-site",
+            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
+        }
+
+        timestamp = _format_timestamp(int(time.time() * 1000))
+        sig = {
+            "d": datetime.now().strftime("%Y-%m-%d"),
+            "t": timestamp,
+            "s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
+        }
+
+        json_data = json.dumps(
+            separators=(",", ":"),
+            obj={
+                "model": "gpt-3.5-turbo",
+                "temperature": kwargs.get("temperature", 0.6),
+                "stream": True,
+                "messages": messages,
+            }
+            | sig,
+        )
+
+        response = requests.post(
+            "https://api.caipacity.com/v1/chat/completions",
+            headers=headers,
+            data=json_data,
+            stream=True,
+        )
+        response.raise_for_status()
+
+        for token in response.iter_lines():
+            if b"content" in token:
+                completion_chunk = json.loads(token.decode().replace("data: ", ""))
+                token = completion_chunk["choices"][0]["delta"].get("content")
+                if token != None:
+                    yield token
+
+    @classmethod
+    @property
+    def params(cls):
+        params = [
+            ("model", "str"),
+            ("messages", "list[dict[str, str]]"),
+            ("stream", "bool"),
+            ("temperature", "float"),
+        ]
+        param = ", ".join([": ".join(p) for p in params])
+        return f"g4f.provider.{cls.__name__} supports: ({param})"
+
+
+def _hash(json_data: dict[str, str]) -> SHA256:
+    base_string: str = "%s:%s:%s:%s" % (
+        json_data["t"],
+        json_data["m"],
+        "WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf",
+        len(json_data["m"]),
+    )
+
+    return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
+
+
+def _format_timestamp(timestamp: int) -> str:
+    e = timestamp
+    n = e % 10
+    r = n + 1 if n % 2 == 0 else n
+    return str(e - n + r)
+
+
+def _get_client_v():
+    response = requests.get("https://ai.ls/?chat=1")
+    response.raise_for_status()
+    js_path = response.text.split('crossorigin href="')[1].split('"')[0]
+
+    response = requests.get("https://ai.ls" + js_path)
+    response.raise_for_status()
+    return response.text.split('G4="')[1].split('"')[0]
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