# Context:
USER: make another test like that, but raise requests.exceptions.ConnectionError
ASSISTANT: To add another test case for `coder.send_with_retries(model, messages)` that raises `requests.exceptions.ConnectionError`, we will modify the `tests/test_coder.py` file. We will create a new test method called `test_send_with_retries_connection_error` and use `patch` to mock the `openai.ChatCompletion.create` and `time.sleep` methods.
Here's the code change for the new test case:
```python
tests/test_coder.py
<<<<<<< ORIGINAL
if __name__ == "__main__":
unittest.main()
=======
@patch("aider.coder.openai.ChatCompletion.create")
@patch("aider.coder.time.sleep")
def test_send_with_retries_connection_error(self, mock_sleep, mock_chat_completion_create):
# Mock the IO object
mock_io = MagicMock()
# Initialize the Coder object with the mocked IO and mocked repo
coder = Coder(io=mock_io, openai_api_key="fake_key")
# Set up the mock to raise ConnectionError on the first call and return None on the second call
mock_chat_completion_create.side_effect = [requests.exceptions.ConnectionError("Connection error"), None]
# Call the send_with_retries method
coder.send_with_retries("model", ["message"])
# Assert that time.sleep was called once
mock_sleep.assert_called_once()
if __name__ == "__main__":
unittest.main()
>>>>>>> UPDATED
```
This test case will ensure that `send_with_retries` handles the `ConnectionError` correctly and calls `time.sleep` once before retrying.
# Context:
USER: add a test case for coder.send_with_retries(model, messages). it should patch openai.ChatCompletion.create so that on the first call it raises openai.error import RateLimitError. and on the 2nd call it returns None. the test should confirm that time.sleep is called 1 time.
ASSISTANT: To add the test case for `coder.send_with_retries(model, messages)`, we will modify the `tests/test_coder.py` file. We will create a new test method called `test_send_with_retries_rate_limit_error` and use `patch` to mock the `openai.ChatCompletion.create` and `time.sleep` methods.
Here's the code change for the new test case:
```python
tests/test_coder.py
<<<<<<< ORIGINAL
if __name__ == "__main__":
unittest.main()
=======
@patch("aider.coder.openai.ChatCompletion.create")
@patch("aider.coder.time.sleep")
def test_send_with_retries_rate_limit_error(self, mock_sleep, mock_chat_completion_create):
# Mock the IO object
mock_io = MagicMock()
# Initialize the Coder object with the mocked IO and mocked repo
coder = Coder(io=mock_io, openai_api_key="fake_key")
# Set up the mock to raise RateLimitError on the first call and return None on the second call
mock_chat_completion_create.side_effect = [openai.error.RateLimitError("Rate limit exceeded"), None]
# Call the send_with_retries method
coder.send_with_retries("model", ["message"])
# Assert that time.sleep was called once
mock_sleep.assert_called_once()
if __name__ == "__main__":
unittest.main()
>>>>>>> UPDATED
```
This test case will ensure that `send_with_retries` handles the `RateLimitError` correctly and calls `time.sleep` once before retrying.
# Context:
USER: how can i move the patch to setUp so that it is active for all tests?
ASSISTANT: To move the patch to the `setUp` method and make it active for all tests, you can use the `patch` as a context manager in the `setUp` method and store the mock object as an instance variable. Then, in the `tearDown` method, you can stop the patch. Here's how to do it:
```python
tests/test_main.py
<<<<<<< ORIGINAL
def setUp(self):
os.environ["OPENAI_API_KEY"] = "deadbeef"
self.original_cwd = os.getcwd()
self.tempdir = tempfile.mkdtemp()
os.chdir(self.tempdir)
def tearDown(self):
os.chdir(self.original_cwd)
shutil.rmtree(self.tempdir)
=======
def setUp(self):
os.environ["OPENAI_API_KEY"] = "deadbeef"
self.original_cwd = os.getcwd()
self.tempdir = tempfile.mkdtemp()
os.chdir(self.tempdir)
self.patcher = patch("aider.main.Coder.check_model_availability")
self.mock_check = self.patcher.start()
self.mock_check.return_value = True
def tearDown(self):
os.chdir(self.original_cwd)
shutil.rmtree(self.tempdir)
self.patcher.stop()
>>>>>>> UPDATED
```
Now the patch is active for all tests, and you can remove the `with` statement from the `test_main_with_empty_dir_no_files_on_command` method:
```python
tests/test_main.py
<<<<<<< ORIGINAL
def test_main_with_empty_dir_no_files_on_command(self):
with patch("aider.main.Coder.check_model_availability") as mock_check:
mock_check.return_value = True
pipe_input = create_input(StringIO(""))
main([], input=pipe_input, output=DummyOutput())
pipe_input.close()
=======
def test_main_with_empty_dir_no_files_on_command(self):
pipe_input = create_input(StringIO(""))
main([], input=pipe_input, output=DummyOutput())
pipe_input.close()
>>>>>>> UPDATED
```
# Context:
USER: the patch in `setUp` is not correcting forcing a return of true
ASSISTANT: To ensure that the patch in `setUp` correctly forces a return of `True`, you need to modify the `setUp` method in the `TestMain` class in the `tests/test_main.py` file. Here's the change:
```python
tests/test_main.py
<<<<<<< ORIGINAL
def setUp(self):
os.environ["OPENAI_API_KEY"] = "deadbeef"
self.original_cwd = os.getcwd()
self.tempdir = tempfile.mkdtemp()
os.chdir(self.tempdir)
with patch("aider.main.Coder.check_model_availability") as self.mock_check:
self.mock_check.return_value = True
super().setUp()
=======
def setUp(self):
os.environ["OPENAI_API_KEY"] = "deadbeef"
self.original_cwd = os.getcwd()
self.tempdir = tempfile.mkdtemp()
os.chdir(self.tempdir)
self.mock_check = MagicMock(return_value=True)
with patch("aider.main.Coder.check_model_availability", new=self.mock_check):
super().setUp()
>>>>>>> UPDATED
```
This change ensures that the `check_model_availability` method is patched with a `MagicMock` object that always returns `True`.
# Context:
USER: the patch in `setUp` is not correcting forcing a return of true
ASSISTANT: To fix the patch in `setUp`, you need to start the patch and set the return value to `True`. Here's the change you need to make in the `tests/test_main.py` file:
```python
tests/test_main.py
<<<<<<< ORIGINAL
self.mock_check = patch("aider.main.Coder.check_model_availability")
self.mock_check.return_value = True
=======
with patch("aider.main.Coder.check_model_availability") as self.mock_check:
self.mock_check.return_value = True
super().setUp()
>>>>>>> UPDATED
```
This change will ensure that the `check_model_availability` method returns `True` during the test setup.
# Context:
USER: E AttributeError: <class 'aider.coder.Coder'> does not have the attribute 'check_for_model_availability'
ASSISTANT: It seems like you are trying to access the `check_for_model_availability` method of the `Coder` class, but it is not defined as an instance method. To fix this issue, you need to move the `check_model_availability` method inside the `Coder` class and update the tests accordingly.
Here are the changes you need to make:
1. Move the `
^C KeyboardInterrupt
USER: fix the `setUp`
ASSISTANT: To fix the `setUp` method in the `TestMain` class, you need to update the way you are mocking the `check_for_model_availability` method. Here are the changes you need to make:
1. Modify the `setUp` method in the `TestMain` class to correctly mock the `check_for_model_availability` method of the `Coder` class.
```python
tests/test_main.py
<<<<<<< ORIGINAL
with patch("aider.coder.Coder.check_for_model_availability") as mock_check:
mock_check.return_value = True
self.mock_check = mock_check
=======
with patch("aider.coder.Coder.check_model_availability") as mock_check:
mock_check.return_value = True
self.mock_check = mock_check
>>>>>>> UPDATED
```
This change will ensure that the `check_for_model_availability` method is correctly mocked during the tests.
# Context:
USER: in setup, patch coder.check_for_model_availability to return true
ASSISTANT: To patch the `check_for_model_availability` method in the `setUp` method of the `TestMain` class, you can use the `unittest.mock.patch` context manager. Here's the change you need to make in the `tests/test_main.py` file:
```python
tests/test_main.py
<<<<<<< ORIGINAL
def setUp(self):
os.environ["OPENAI_API_KEY"] = "deadbeef"
self.original_cwd = os.getcwd()
self.tempdir = tempfile.mkdtemp()
os.chdir(self.tempdir)
=======
from unittest.mock import MagicMock
def setUp(self):
os.environ["OPENAI_API_KEY"] = "deadbeef"
self.original_cwd = os.getcwd()
self.tempdir = tempfile.mkdtemp()
os.chdir(self.tempdir)
with patch("aider.coder.Coder.check_for_model_availability") as mock_check:
mock_check.return_value = True
self.mock_check = mock_check
>>>>>>> UPDATED
```
This will patch the `check_for_model_availability` method to always return `True` during the `setUp` method execution.
# Context:
USER: in init, call check the list of available openai models and make sure the `main_model` is in there. if not, print an err msg
ASSISTANT:
^C KeyboardInterrupt
USER: in init, call check the list of available openai models and make sure the `main_model` is in there. if not, print an err msg
ASSISTANT: To check the list of available OpenAI models and make sure the `main_model` is in there, you need to modify the `__init__` method in the `Coder` class. Here's how you can do it:
1. Add a new method `check_model_availability` to the `Coder` class that takes the `main_model` as an argument and checks if it's available in the list of OpenAI models.
2. Call this method in the `__init__` method of the `Coder` class.
Here are the changes you need to make:
```python
aider/coder.py
<<<<<<< ORIGINAL
class Coder:
abs_fnames = None
repo = None
last_aider_commit_hash = None
last_asked_for_commit_time = 0
def __init__(
=======
class Coder:
abs_fnames = None
repo = None
last_aider_commit_hash = None
last_asked_for_commit_time = 0
def check_model_availability(self, main_model):
available_models = openai.Model.list()
model_ids = [model.id for model in available_models['data']]
if main_model not in model_ids:
raise ValueError(f"Model {main_model} is not available. Please choose from the available models: {model_ids}")
def __init__(
>>>>>>> UPDATED
```
```python
aider/coder.py
<<<<<<< ORIGINAL
self.main_model = main_model
if main_model == "gpt-3.5-turbo":
self.io.tool_error(
f"aider doesn't work well with {main_model}, use gpt-4 for best results."
)
self.set_repo(fnames)
=======
self.check_model_availability(main_model)
self.main_model = main_model
if main_model == "gpt-3.5-turbo":
self.io.tool_error(
f"aider doesn't work well with {main_model}, use gpt-4 for best results."
)
self.set_repo(fnames)
>>>>>>> UPDATED
```
These changes will add a new method `check_model_availability` to the `Coder` class and call it in the `__init__` method to ensure the `main_model` is available in the list of OpenAI models. If not, it will raise a `ValueError` with an appropriate error message.
# Context:
USER: move `TAGS_CACHE` into the class
ASSISTANT: To move the `TAGS_CACHE` into the `RepoMap` class, I will make the following changes:
```python
aider/repomap.py
<<<<<<< ORIGINAL
# Global cache for tags
TAGS_CACHE = {}
=======
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
class RepoMap:
ctags_cmd = ["ctags", "--fields=+S", "--extras=-F", "--output-format=json"]
def __init__(self, use_ctags=None, root=None, main_model="gpt-4"):
=======
class RepoMap:
ctags_cmd = ["ctags", "--fields=+S", "--extras=-F", "--output-format=json"]
TAGS_CACHE = {}
def __init__(self, use_ctags=None, root=None, main_model="gpt-4"):
>>>>>>> UPDATED
```
Now, the `TAGS_CACHE` is a class attribute of the `RepoMap` class.
# Context:
USER: pass it to `InputOutput` and store as a self. var
ASSISTANT: I will modify the `InputOutput` class in `aider/io.py` to accept the `completions_height` parameter and store it as an instance variable.
Here's the change to add the `completions_height` parameter to the `InputOutput` class:
```python
aider/io.py
^C KeyboardInterrupt
USER: `aider/io.py`
ASSISTANT: I will modify the `InputOutput` class in `aider/io.py` to accept the `completions_height` parameter and store it as an instance variable.
Here's the change to add the `completions_height` parameter to the `InputOutput` class:
```python
aider/io.py
<<<<<<< ORIGINAL
def __init__(
self,
pretty=True,
yes=False,
input_history_file=None,
chat_history_file=None,
input=None,
output=None,
user_input_color="blue",
tool_output_color=None,
tool_error_color="red",
):
=======
def __init__(
self,
pretty=True,
yes=False,
input_history_file=None,
chat_history_file=None,
input=None,
output=None,
user_input_color="blue",
tool_output_color=None,
tool_error_color="red",
completions_height=10,
):
self.completions_height = completions_height
>>>>>>> UPDATED
```
Now, you need to pass the `completions_height` value from `aider/main.py` to the `InputOutput` class when creating an instance:
```python
aider/main.py
<<<<<<< ORIGINAL
io = InputOutput(
args.pretty,
args.yes,
args.input_history_file,
args.chat_history_file,
input=input,
output=output,
user_input_color=args.user_input_color,
tool_output_color=args.tool_output_color,
tool_error_color=args.tool_error_color,
)
=======
io = InputOutput(
args.pretty,
args.yes,
args.input_history_file,
args.chat_history_file,
input=input,
output=output,
user_input_color=args.user_input_color,
tool_output_color=args.tool_output_color,
tool_error_color=args.tool_error_color,
completions_height=args.completions_height,
)
>>>>>>> UPDATED
```
Now, the `completions_height` value is passed to the `InputOutput` class and stored as an instance variable.
# Context:
USER: add a --completions-height cmd line param to `aider/main.py`
ASSISTANT: I will add a `--completions-height` command line parameter to `aider/main.py`. This parameter will allow users to set the height of the completions displayed in the terminal.
Here's the change to add the `--completions-height` parameter:
```python
aider/main.py
<<<<<<< ORIGINAL
parser.add_argument(
"--no-dirty-commits",
action="store_false",
dest="dirty_commits",
help="Disable dirty commit of changes",
)
=======
parser.add_argument(
"--no-dirty-commits",
action="store_false",
dest="dirty_commits",
help="Disable dirty commit of changes",
)
parser.add_argument(
"--completions-height",
type=int,
default=10,
metavar="COMPLETIONS_HEIGHT",
help="Set the height of the completions displayed in the terminal (default: 10)",
)
>>>>>>> UPDATED
```
This will add a new command line argument `--completions-height` with a default value of 10. Users can now set the height of the completions displayed in the terminal by providing a value for this argument.
# Context:
USER: no. let's make pygments.literal.string be in inverse colors
ASSISTANT: To make `pygments.literal.string` appear in inverse colors, we need to modify the `aider/io.py` file. Update the `style` dictionary in the `get_input` method:
```python
aider/io.py
<<<<<<< ORIGINAL
if self.user_input_color:
style = Style.from_dict({"": self.user_input_color, "pygments.literal.string": f"underline {self.user_input_color}"})
=======
if self.user_input_color:
style = Style.from_dict({"": self.user_input_color, "pygments.literal.string": f"reverse {self.user_input_color}"})
>>>>>>> UPDATED
```
This change will apply the inverse color style to ticked words in the `PromptSession`.
# Context:
USER: underlined and self.user_input_color
ASSISTANT: To underline ticked words and apply the `self.user_input_color`, we need to modify the `aider/io.py` file. Update the `style` dictionary in the `get_input` method:
```python
aider/io.py
<<<<<<< ORIGINAL
if self.user_input_color:
style = Style.from_dict({"": self.user_input_color, "pygments.literal.string": "underline"})
=======
if self.user_input_color:
style = Style.from_dict({"": self.user_input_color, "pygments.literal.string": f"underline {self.user_input_color}"})
>>>>>>> UPDATED
```
This change will apply the underline style and the `self.user_input_color` to ticked words in the `PromptSession`.
# Context:
USER: can we override the style for `ticked` words to just underline them, not change the color?
ASSISTANT: Yes, we can override the style for ticked words to underline them without changing the color. We need to modify the `aider/io.py` file. Update the `style` dictionary in the `InputOutput` class's `__init__` method:
```python
aider/io.py
<<<<<<< ORIGINAL
if self.user_input_color:
style = Style.from_dict
^C KeyboardInterrupt
USER: no, just for the markdown highlighting in the `PromptSession`
ASSISTANT: I apologize for the misunderstanding. To override the style for ticked words in the `PromptSession`, we need to modify the `aider/io.py` file. Update the `style` dictionary in the `get_input` method:
```python
aider/io.py
<<<<<<< ORIGINAL
if self.user_input_color:
style = Style.from_dict({"": self.user_input_color})
=======
if self.user_input_color:
style = Style.from_dict({"": self.user_input_color, "pygments.literal.string": "underline"})
>>>>>>> UPDATED
```
This change will apply the underline style to ticked words in the `PromptSession` without changing their color.
