[bot] Run grit migration: Apply a GritQL pattern

.grit/grit.yaml

@@ -0,0 +1,8 @@
+version: 0.0.1
+patterns:
+  - name: github.com/getgrit/js#*
+  - name: github.com/getgrit/python#*
+  - name: github.com/getgrit/json#*
+  - name: github.com/getgrit/hcl#*
+  - name: github.com/getgrit/python#openai
+    level: info

config.py

@@ -63,7 +63,7 @@ def int_env(name, default):
 logger.info(f'Use transformer model {transformer_model}')
 
 openai_keys = os.getenv('OPENAI_API_KEY').split(',') if os.getenv('OPENAI_API_KEY') else [None]
-openai.api_key = random.choice(openai_keys)  # Round-robin available keys
+raise Exception("The 'openai.api_key' option isn't read in the client API. You will need to pass it when you instantiate the client, e.g. 'OpenAI(api_key=random.choice(openai_keys))'")  # Round-robin available keys
 logger.info(f'Use openai api key #{openai_keys.index(openai.api_key)}')
 openai_model = os.getenv('OPENAI_MODEL') or 'gpt-3.5-turbo'
 openai_score_threshold = int_env('OPENAI_SCORE_THRESHOLD', 20)

hacker_news/news.py

@@ -5,7 +5,9 @@
 import time
 from json import JSONDecodeError
 
-import openai
+from openai import OpenAI
+
+client = OpenAI()
 import tiktoken
 from slugify import slugify
 
@@ -188,17 +190,14 @@ def openai_complete(self, prompt, need_json):
             }}]
             kwargs['function_call'] = {"name": "render"}
         if config.openai_model.startswith('text-'):
-            resp = openai.Completion.create(
-                prompt=prompt,
-                **kwargs
-            )
+            resp = client.completions.create(prompt=prompt,
+            **kwargs)
             answer = resp['choices'][0]['text'].strip()
         else:
-            resp = openai.ChatCompletion.create(
-                messages=[
-                    {'role': 'user', 'content': prompt},
-                ],
-                **kwargs)
+            resp = client.chat.completions.create(messages=[
+                {'role': 'user', 'content': prompt},
+            ],
+            **kwargs)
             message = resp["choices"][0]["message"]
             if message.get('function_call'):
                 json_str = message['function_call']['arguments']