# 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
```
# Context:
USER: make a test for `WholeFileCoder`.updated_files
ASSISTANT: To create a test for the `WholeFileCoder`'s `update_files` method, we will add a new test function in the `tests/test_wholefile.py` file. Here's the test function:
```python
tests/test_wholefile.py
<<<<<<< ORIGINAL
=======
import os
from pathlib import Path
import tempfile
import unittest
from aider.coders.wholefile_coder import WholeFileCoder
from aider.io import InputOutput
class TestWholeFileCoder(unittest.TestCase):
def test_update_files(self):
with tempfile.TemporaryDirectory() as temp_dir:
# Create a sample file in the temporary directory
sample_file = os.path.join(temp_dir, "sample.txt")
with open(sample_file, "w") as f:
f.write("Original content\n")
# Initialize WholeFileCoder with the temporary directory
io = InputOutput()
coder = WholeFileCoder(root=temp_dir, io=io)
# Set the partial response content with the updated content
coder.partial_response_content = f"{sample_file}\n```\nUpdated content\n```"
# Call update_files method
edited_files = coder.update_files()
# Check if the sample file was updated
self.assertIn("sample.txt", edited_files)
# Check if the content of the sample file was updated
with open(sample_file, "r") as f:
updated_content = f.read()
self.assertEqual(updated_content, "Updated content\n")
if __name__ == "__main__":
unittest.main()
>>>>>>> UPDATED
```
This test function creates a temporary directory with a sample file, initializes a `WholeFileCoder` instance with the temporary directory, sets the partial response content with the updated content, calls the `update_files` method, and checks if the sample file was updated correctly.
