From 64e16c8ad17b78555309e070675e1d7b50f30096 Mon Sep 17 00:00:00 2001
From: Paul Gauthier <aider@paulg.org>
Date: Tue, 27 Jun 2023 14:59:58 -0700
Subject: [PATCH] aider: Added SHA1 hash of kwargs to
 `chat_completion_call_hashes` in `send_with_retries` method.

# Context:
USER: when calling `ChatCompletion`, take a sha1 hash of dict with all the args and append it to a list self.chat_completion_call_hashes
ASSISTANT: To implement this change, we need to modify the `send_with_retries` method in the `Coder` class in the `aider/coders/base_coder.py` file. We will import the `hashlib` module to generate the SHA1 hash. We will also add a new attribute `chat_completion_call_hashes` to the `Coder` class to store the hashes.

Here are the changes:

```python
aider/coders/base_coder.py
<<<<<<< ORIGINAL
import json
import os
import sys
import traceback
from json.decoder import JSONDecodeError
from pathlib import Path
=======
import hashlib
import json
import os
import sys
import traceback
from json.decoder import JSONDecodeError
from pathlib import Path
>>>>>>> UPDATED
```

```python
aider/coders/base_coder.py
<<<<<<< ORIGINAL
class Coder:
    abs_fnames = None
    repo = None
    last_aider_commit_hash = None
    last_asked_for_commit_time = 0
    repo_map = None
    functions = None
    total_cost = 0.0
=======
class Coder:
    abs_fnames = None
    repo = None
    last_aider_commit_hash = None
    last_asked_for_commit_time = 0
    repo_map = None
    functions = None
    total_cost = 0.0
    chat_completion_call_hashes = []
>>>>>>> UPDATED
```

```python
aider/coders/base_coder.py
<<<<<<< ORIGINAL
    def send_with_retries(self, model, messages, functions):
        kwargs = dict(
            model=model,
            messages=messages,
            temperature=0,
            stream=self.stream,
        )
        if functions is not None:
            kwargs["functions"] = self.functions

        res = openai.ChatCompletion.create(**kwargs)
        return res
=======
    def send_with_retries(self, model, messages, functions):
        kwargs = dict(
            model=model,
            messages=messages,
            temperature=0,
            stream=self.stream,
        )
        if functions is not None:
            kwargs["functions"] = self.functions

        # Generate SHA1 hash of kwargs and append it to chat_completion_call_hashes
        hash_object = hashlib.sha1(json.dumps(kwargs, sort_keys=True).encode())
        self.chat_completion_call_hashes.append(hash_object.hexdigest())

        res = openai.ChatCompletion.create(**kwargs)
        return res
>>>>>>> UPDATED
```
---
 aider/coders/base_coder.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/aider/coders/base_coder.py b/aider/coders/base_coder.py
index da998bfcb..6a899ab8e 100755
--- a/aider/coders/base_coder.py
+++ b/aider/coders/base_coder.py
@@ -1,5 +1,6 @@
 #!/usr/bin/env python
 
+import hashlib
 import json
 import os
 import sys
@@ -43,6 +44,7 @@ class Coder:
     repo_map = None
     functions = None
     total_cost = 0.0
+    chat_completion_call_hashes = []
 
     @classmethod
     def create(
@@ -555,6 +557,10 @@ class Coder:
         if functions is not None:
             kwargs["functions"] = self.functions
 
+        # Generate SHA1 hash of kwargs and append it to chat_completion_call_hashes
+        hash_object = hashlib.sha1(json.dumps(kwargs, sort_keys=True).encode())
+        self.chat_completion_call_hashes.append(hash_object.hexdigest())
+
         res = openai.ChatCompletion.create(**kwargs)
         return res