# 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: switch both caches to use shelve instead of json
ASSISTANT: To switch both caches to use `shelve` instead of `json`, we need to modify the `aider/repomap.py` file. We will update the `load_tags_cache`, `save_tags_cache`, `load_ident_cache`, and `save_ident_cache` methods.
Here are the changes:
```python
aider/repomap.py
<<<<<<< ORIGINAL
import json
=======
import shelve
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
IDENT_CACHE_FILE = ".aider.ident.cache.json"
TAGS_CACHE_FILE = ".aider.tags.cache.json"
def load_tags_cache(self):
if os.path.exists(self.TAGS_CACHE_FILE):
with open(self.TAGS_CACHE_FILE, "r") as f:
self.TAGS_CACHE = json.load(f)
else:
self.TAGS_CACHE = dict()
def save_tags_cache(self):
with open(self.TAGS_CACHE_FILE, "w") as f:
json.dump(self.TAGS_CACHE, f)
=======
IDENT_CACHE_FILE = ".aider.ident.cache"
TAGS_CACHE_FILE = ".aider.tags.cache"
def load_tags_cache(self):
if os.path.exists(self.TAGS_CACHE_FILE):
with shelve.open(self.TAGS_CACHE_FILE) as db:
self.TAGS_CACHE = dict(db)
else:
self.TAGS_CACHE = dict()
def save_tags_cache(self):
with shelve.open(self.TAGS_CACHE_FILE) as db:
db.update(self.TAGS_CACHE)
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
def load_ident_cache(self):
if os.path.exists(self.IDENT_CACHE_FILE):
with open(self.IDENT_CACHE_FILE, "r") as f:
self.IDENT_CACHE = json.load(f)
else:
self.IDENT_CACHE = dict()
def save_ident_cache(self):
with open(self.IDENT_CACHE_FILE, "w") as f:
json.dump(self.IDENT_CACHE, f)
=======
def load_ident_cache(self):
if os.path.exists(self.IDENT_CACHE_FILE):
with shelve.open(self.IDENT_CACHE_FILE) as db:
self.IDENT_CACHE = dict(db)
else:
self.IDENT_CACHE = dict()
def save_ident_cache(self):
with shelve.open(self.IDENT_CACHE_FILE) as db:
db.update(self.IDENT_CACHE)
>>>>>>> UPDATED
```
These changes will replace the usage of `json` with `shelve` for both caches.
# Context:
USER: persist the tags cache to .aider.tags.cache
ASSISTANT: To persist the tags cache to `.aider.tags.cache`, you need to modify the `aider/repomap.py` file. Add two new methods `load_tags_cache` and `save_tags_cache` to the `RepoMap` class, and call them in the `__init__` method and `run_ctags` method, respectively.
Here are the changes you need to make:
```python
aider/repomap.py
<<<<<<< ORIGINAL
TAGS_CACHE_FILE = ".aider.tags.cache"
=======
TAGS_CACHE_FILE = ".aider.tags.cache"
def load_tags_cache(self):
if os.path.exists(self.TAGS_CACHE_FILE):
with open(self.TAGS_CACHE_FILE, "r") as f:
self.TAGS_CACHE = json.load(f)
else:
self.TAGS_CACHE = dict()
def save_tags_cache(self):
with open(self.TAGS_CACHE_FILE, "w") as f:
json.dump(self.TAGS_CACHE, f)
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
def __init__(self, use_ctags=None, root=None, main_model="gpt-4"):
=======
def __init__(self, use_ctags=None, root=None, main_model="gpt-4"):
self.load_tags_cache()
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
def run_ctags(self, filename):
# Check if the file is in the cache and if the modification time has not changed
file_mtime = os.path.getmtime(filename)
cache_key = filename
if cache_key in self.TAGS_CACHE and self.TAGS_CACHE[cache_key]["mtime"] == file_mtime:
return self.TAGS_CACHE[cache_key]["data"]
cmd = self.ctags_cmd + [filename]
output = subprocess.check_output(cmd).decode("utf-8")
output = output.splitlines()
data = [json.loads(line) for line in output]
# Update the cache
self.TAGS_CACHE[cache_key] = {"mtime": file_mtime, "data": data}
=======
def run_ctags(self, filename):
# Check if the file is in the cache and if the modification time has not changed
file_mtime = os.path.getmtime(filename)
cache_key = filename
if cache_key in self.TAGS_CACHE and self.TAGS_CACHE[cache_key]["mtime"] == file_mtime:
return self.TAGS_CACHE[cache_key]["data"]
cmd = self.ctags_cmd + [filename]
output = subprocess.check_output(cmd).decode("utf-8")
output = output.splitlines()
data = [json.loads(line) for line in output]
# Update the cache
self.TAGS_CACHE[cache_key] = {"mtime": file_mtime, "data": data}
self.save_tags_cache()
>>>>>>> UPDATED
```
These changes will load the tags cache from the `.aider.tags.cache` file when initializing the `RepoMap` class and save the updated cache to the file after running ctags.
# Context:
USER: persist the `IDENT_CACHE` to .aider.ident.cache whenever it is updated
ASSISTANT: To persist the `IDENT_CACHE` to `.aider.ident.cache` whenever it is updated, we need to modify the `get_name_identifiers` method in the `RepoMap` class. Here are the changes:
```python
aider/repomap.py
<<<<<<< ORIGINAL
def get_name_identifiers(self, fname, uniq=True):
file_mtime = os.path.getmtime(fname)
cache_key = fname
if cache_key in self.IDENT_CACHE and self.IDENT_CACHE[cache_key]["mtime"] == file_mtime:
idents = self.IDENT_CACHE[cache_key]["data"]
else:
idents = self.get_name_identifiers_uncached(fname)
self.IDENT_CACHE[cache_key] = {"mtime": file_mtime, "data": idents}
=======
import json
class RepoMap:
# ...
IDENT_CACHE_FILE = ".aider.ident.cache"
def __init__(self, use_ctags=None, root=None, main_model="gpt-4"):
# ...
self.load_ident_cache()
def load_ident_cache(self):
if os.path.exists(self.IDENT_CACHE_FILE):
with open(self.IDENT_CACHE_FILE, "r") as f:
self.IDENT_CACHE = json.load(f)
else:
self.IDENT_CACHE = dict()
def save_ident_cache(self):
with open(self.IDENT_CACHE_FILE, "w") as f:
json.dump(self.IDENT_CACHE, f)
def get_name_identifiers(self, fname, uniq=True):
file_mtime = os.path.getmtime(fname)
cache_key = fname
if cache_key in self.IDENT_CACHE and self.IDENT_CACHE[cache_key]["mtime"] == file_mtime:
idents = self.IDENT_CACHE[cache_key]["data"]
else:
idents = self.get_name_identifiers_uncached(fname)
self.IDENT_CACHE[cache_key] = {"mtime": file_mtime, "data": idents}
self.save_ident_cache()
>>>>>>> UPDATED
```
This will load the `IDENT_CACHE` from the `.aider.ident.cache` file when the `RepoMap` class is initialized and save the cache to the file whenever it is updated.
# Context:
USER: make `IDENT_CACHE` use mtime like `TAGS_CACHE`
ASSISTANT: To make `IDENT_CACHE` use mtime like `TAGS_CACHE`, we need to modify the `get_name_identifiers` and `get_name_identifiers_uncached` methods in the `RepoMap` class. Here are the changes:
```python
aider/repomap.py
<<<<<<< ORIGINAL
def get_name_identifiers(self, fname, uniq=True):
idents = self.IDENT_CACHE.get(fname)
if idents is None:
idents = self.get_name_identifiers_uncached(fname)
self.IDENT_CACHE[fname] = idents
=======
def get_name_identifiers(self, fname, uniq=True):
file_mtime = os.path.getmtime(fname)
cache_key = fname
if cache_key in self.IDENT_CACHE and self.IDENT_CACHE[cache_key]["mtime"] == file_mtime:
idents = self.IDENT_CACHE[cache_key]["data"]
else:
idents = self.get_name_identifiers_uncached(fname)
self.IDENT_CACHE[cache_key] = {"mtime": file_mtime, "data": idents}
>>>>>>> UPDATED
```
# 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.
