From d02f9ded2a503683b57bcacece6a2cff5484fb81 Mon Sep 17 00:00:00 2001
From: flu0r1ne <flu0r1ne@flu0r1ne.net>
Date: Thu, 4 May 2023 19:46:32 -0500
Subject: Add packaging info

---
 src/gpt_chat_cli/openai_wrappers.py | 69 +++++++++++++++++++++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 src/gpt_chat_cli/openai_wrappers.py

(limited to 'src/gpt_chat_cli/openai_wrappers.py')

diff --git a/src/gpt_chat_cli/openai_wrappers.py b/src/gpt_chat_cli/openai_wrappers.py
new file mode 100644
index 0000000..784a9ce
--- /dev/null
+++ b/src/gpt_chat_cli/openai_wrappers.py
@@ -0,0 +1,69 @@
+import json
+import openai
+
+from typing import Any, List, Optional, Generator
+from dataclasses import dataclass
+from enum import Enum, auto
+
+@dataclass
+class Delta:
+    content: Optional[str] = None
+    role: Optional[str] = None
+
+class FinishReason(Enum):
+    STOP = auto()
+    MAX_TOKENS = auto()
+    TEMPERATURE = auto()
+    NONE = auto()
+
+    @staticmethod
+    def from_str(finish_reason_str : Optional[str]) -> "FinishReason":
+        if finish_reason_str is None:
+            return FinishReason.NONE
+        return FinishReason[finish_reason_str.upper()]
+
+@dataclass
+class Choice:
+    delta: Delta
+    finish_reason: Optional[FinishReason]
+    index: int
+
+@dataclass
+class OpenAIChatResponse:
+    choices: List[Choice]
+    created: int
+    id: str
+    model: str
+    object: str
+
+    def from_json(data: Any) -> "OpenAIChatResponse":
+        choices = []
+
+        for choice in data["choices"]:
+            delta = Delta(
+                content=choice["delta"].get("content"),
+                role=choice["delta"].get("role")
+            )
+
+            choices.append(Choice(
+                delta=delta,
+                finish_reason=FinishReason.from_str(choice["finish_reason"]),
+                index=choice["index"],
+            ))
+
+        return OpenAIChatResponse(
+            choices,
+            created=data["created"],
+            id=data["id"],
+            model=data["model"],
+            object=data["object"],
+        )
+
+OpenAIChatResponseStream = Generator[OpenAIChatResponse, None, None]
+
+def create_chat_completion(*args, **kwargs) \
+        -> OpenAIChatResponseStream:
+    return (
+        OpenAIChatResponse.from_json(update) \
+        for update in  openai.ChatCompletion.create(*args, **kwargs)
+    )
-- 
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