# Context:
USER: in `test_get_repo_map_with_identifiers` make a 2nd file that imports MyClass and calls both its methods. add that to `other_files`
ASSISTANT: Here are the changes you need to make:
1. Modify `test_get_repo_map_with_identifiers` in `tests/test_repomap.py` to add a new file that imports `MyClass` and calls both its methods:
```python
tests/test_repomap.py
<<<<<<< ORIGINAL
def test_get_repo_map_with_identifiers(self):
# Create a temporary directory with a sample Python file containing identifiers
test_file = "test_file_with_identifiers.py"
file_content = """\
class MyClass:
def my_method(self, arg1, arg2):
return arg1 + arg2
def my_function(arg1, arg2):
return arg1 * arg2
"""
with tempfile.TemporaryDirectory() as temp_dir:
with open(os.path.join(temp_dir, test_file), "w") as f:
f.write(file_content)
repo_map = RepoMap(root=temp_dir)
other_files = [os.path.join(temp_dir, test_file), os.path.join(temp_dir, "test_file_import.py")]
result = repo_map.get_repo_map([], other_files)
# Check if the result contains the expected tags map with identifiers
self.assertIn("test_file_with_identifiers.py", result)
self.assertIn("MyClass", result)
self.assertIn("my_method", result)
self.assertIn("my_function", result)
=======
def test_get_repo_map_with_identifiers(self):
# Create a temporary directory with a sample Python file containing identifiers
test_file1 = "test_file_with_identifiers.py"
file_content1 = """\
class MyClass:
def my_method(self, arg1, arg2):
return arg1 + arg2
def my_function(arg1, arg2):
return arg1 * arg2
"""
test_file2 = "test_file_import.py"
file_content2 = """\
from test_file_with_identifiers import MyClass
obj = MyClass()
print(obj.my_method(1, 2))
print(my_function(3, 4))
"""
with tempfile.TemporaryDirectory() as temp_dir:
with open(os.path.join(temp_dir, test_file1), "w") as f:
f.write(file_content1)
with open(os.path.join(temp_dir, test_file2), "w") as f:
f.write(file_content2)
repo_map = RepoMap(root=temp_dir)
other_files = [os.path.join(temp_dir, test_file1), os.path.join(temp_dir, test_file2)]
result = repo_map.get_repo_map([], other_files)
# Check if the result contains the expected tags map with identifiers
self.assertIn("test_file_with_identifiers.py", result)
self.assertIn("MyClass", result)
self.assertIn("my_method", result)
self.assertIn("my_function", result)
>>>>>>> UPDATED
```
2. Run the tests to make sure everything is working as expected.
# Context:
USER: File "/Users/gauthier/Projects/aider/aider/repomap.py", line 107, in choose_files_listing
files_listing = self.get_ranked_tags_map(chat_files, other_files)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/gauthier/Projects/aider/aider/repomap.py", line 318, in get_ranked_tags_map
tree = to_tree(ranked_tags[:middle])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/gauthier/Projects/aider/aider/repomap.py", line 26, in to_tree
last = [None] * len(tags[0])
~~~~^^^
ASSISTANT: I see the code snippets from the `aider/repomap.py` file. Please let me know what changes you would like to make, and make sure to provide me with the *read-write* access to the file.
USER: I added these *read-write* files: aider/repomap.py
ASSISTANT: Great! Now, please let me know what changes you would like to make in the `aider/repomap.py` file.
USER: File "/Users/gauthier/Projects/aider/aider/repomap.py", line 318, in get_ranked_tags_map
tree = to_tree(ranked_tags[:middle])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/gauthier/Projects/aider/aider/repomap.py", line 26, in to_tree
last = [None] * len(tags[0])
~~~~^^^
IndexError: list index out of range
ASSISTANT: It seems like you are encountering an IndexError due to an empty `tags` list. To fix this issue, you can add a check to ensure that the `tags` list is not empty before accessing its elements. Here's the change you need to make in the `aider/repomap.py` file:
```python
aider/repomap.py
<<<<<<< ORIGINAL
def to_tree(tags):
tags = sorted(tags)
output = ""
last = [None] * len(tags[0])
=======
def to_tree(tags):
if not tags:
return ""
tags = sorted(tags)
output = ""
last = [None] * len(tags[0])
>>>>>>> UPDATED
```
This change adds a check for an empty `tags` list and returns an empty string if the list is empty, preventing the IndexError.
# Context:
USER: instead of patching and checking that aider.coder.backoff.expo, patch and check "print"
ASSISTANT: To patch and check the `print` function instead of `aider.coder.backoff.expo`, you can modify the `test_send_with_retries_rate_limit_error` and `test_send_with_retries_connection_error` test cases in the `tests/test_coder.py` file. Here are the changes:
```python
tests/test_coder.py
<<<<<<< ORIGINAL
@patch("aider.coder.openai.ChatCompletion.create")
@patch("aider.coder.backoff.expo")
def test_send_with_retries_rate_limit_error(self, mock_backoff_expo, mock_chat_completion_create):
=======
@patch("aider.coder.openai.ChatCompletion.create")
@patch("builtins.print")
def test_send_with_retries_rate_limit_error(self, mock_print, mock_chat_completion_create):
>>>>>>> UPDATED
```
```python
tests/test_coder.py
<<<<<<< ORIGINAL
# Assert that backoff.expo was called once
mock_backoff_expo.assert_called_once()
=======
# Assert that print was called once
mock_print.assert_called_once()
>>>>>>> UPDATED
```
```python
tests/test_coder.py
<<<<<<< ORIGINAL
@patch("aider.coder.openai.ChatCompletion.create")
@patch("aider.coder.backoff.expo")
def test_send_with_retries_connection_error(self, mock_backoff_expo, mock_chat_completion_create):
=======
@patch("aider.coder.openai.ChatCompletion.create")
@patch("builtins.print")
def test_send_with_retries_connection_error(self, mock_print, mock_chat_completion_create):
>>>>>>> UPDATED
```
```python
tests/test_coder.py
<<<<<<< ORIGINAL
# Assert that backoff.expo was called once
mock_backoff_expo.assert_called_once()
=======
# Assert that print was called once
mock_print.assert_called_once()
>>>>>>> UPDATED
```
These changes replace the patching of `aider.coder.backoff.expo` with patching of the `print` function and update the assertions accordingly.
# Context:
USER: `tests/test_coder.py` `aider/coder.py` Fix the test_send_with_retries tests since we no longer use time.sleep but backoff instead
ASSISTANT: To fix the test_send_with_retries tests in `tests/test_coder.py`, we need to update the tests to use the backoff library instead of time.sleep. Here's how to do it:
1. Replace the `@patch("aider.coder.time.sleep")` with `@patch("aider.coder.backoff.expo")` in both test_send_with_retries_rate_limit_error and test_send_with_retries_connection_error tests.
2. Update the test_send_with_retries_rate_limit_error and test_send_with_retries_connection_error tests to assert that backoff.expo was called once instead of time.sleep.
Here are the changes:
```python
tests/test_coder.py
<<<<<<< ORIGINAL
@patch("aider.coder.time.sleep")
def test_send_with_retries_rate_limit_error(self, mock_sleep, mock_chat_completion_create):
=======
@patch("aider.coder.backoff.expo")
def test_send_with_retries_rate_limit_error(self, mock_backoff_expo, mock_chat_completion_create):
>>>>>>> UPDATED
```
```python
tests/test_coder.py
<<<<<<< ORIGINAL
# Assert that time.sleep was called once
mock_sleep.assert_called_once()
=======
# Assert that backoff.expo was called once
mock_backoff_expo.assert_called_once()
>>>>>>> UPDATED
```
```python
tests/test_coder.py
<<<<<<< ORIGINAL
@patch("aider.coder.time.sleep")
def test_send_with_retries_connection_error(self, mock_sleep, mock_chat_completion_create):
=======
@patch("aider.coder.backoff.expo")
def test_send_with_retries_connection_error(self, mock_backoff_expo, mock_chat_completion_create):
>>>>>>> UPDATED
```
```python
tests/test_coder.py
<<<<<<< ORIGINAL
# Assert that time.sleep was called once
mock_sleep.assert_called_once()
=======
# Assert that backoff.expo was called once
mock_backoff_expo.assert_called_once()
>>>>>>> UPDATED
```
These changes should fix the test_send_with_retries tests in `tests/test_coder.py`.
# Context:
USER: Hello there,
thanks for making this open source!
I have a request: due to being still on the free credits of OpenAI API, I run into timeouts.
fetch_starred_repos.py
Add these files to the chat? y
RateLimitError: You exceeded your current quota, please check your plan and billing details.
Retry in 1 seconds.
...
Is it possible for you to implement this library to omit that?
https://pypi.org/project/backoff/
Thanks in advance.
Greetings from Germany
ASSISTANT: Sure, I can help you implement the `backoff` library to handle the rate limit issue. First, please make the `aider/coder.py` file *read-write* so I can propose changes to it.
USER: I added these *read-write* files: aider/coder.py
ASSISTANT: Great! First, you need to install the `backoff` library. You can do this by running:
```
pip install backoff
```
Next, I will show you the changes needed in the `aider/coder.py` file to implement the `backoff` library for handling rate limit issues.
1. Import the `backoff` library at the beginning of the file.
2. Replace the `send_with_retries` method with a new method that uses the `backoff` library.
Here are the changes:
```python
aider/coder.py
<<<<<<< ORIGINAL
import os
import sys
import time
import traceback
=======
import os
import sys
import traceback
import backoff
>>>>>>> UPDATED
```
```python
aider/coder.py
<<<<<<< ORIGINAL
def send_with_retries(self, model, messages):
while True:
try:
return openai.ChatCompletion.create(
model=model,
messages=messages,
temperature=0,
stream=True,
)
except RateLimitError as err:
self.io.tool_error(f"RateLimitError: {err}")
except requests.exceptions.ConnectionError as err:
self.io.tool_error(f"ConnectionError: {err}")
retry_after = 1
self.io.tool_error(f"Retry in {retry_after} seconds.")
time.sleep(retry_after)
=======
@backoff.on_exception(
backoff.expo,
(RateLimitError, requests.exceptions.ConnectionError),
max_tries=5,
on_backoff=lambda details: self.io.tool_error(f"Retry in {details['wait']} seconds."),
)
def send_with_retries(self, model, messages):
return openai.ChatCompletion.create(
model=model,
messages=messages,
temperature=0,
stream=True,
)
>>>>>>> UPDATED
```
These changes will implement the `backoff` library to handle rate limit issues with exponential backoff and a maximum of 5 retries. If you want to adjust the number of retries, you can change the `max_tries` parameter in the `backoff.on_exception` decorator.
# Context:
USER: update `aider/repomap.py`
ASSISTANT: Please provide the specific changes you would like me to make in the `aider/repomap.py` file.
USER: to use map_tokens not `use_ctags`
ASSISTANT: I will update the `aider/repomap.py` file to use `map_tokens` instead of `use_ctags`.
```python
aider/repomap.py
<<<<<<< ORIGINAL
def __init__(self, use_ctags=None, root=None, main_model="gpt-4", io=None):
self.io = io
if not root:
root = os.getcwd()
self.root = root
self.load_ident_cache()
self.load_tags_cache()
if use_ctags is None:
self.use_ctags = self.check_for_ctags()
else:
self.use_ctags = use_ctags
self.tokenizer = tiktoken.encoding_for_model(main_model)
=======
def __init__(self, map_tokens=1024, root=None, main_model="gpt-4", io=None):
self.io = io
if not root:
root = os.getcwd()
self.root = root
self.load_ident_cache()
self.load_tags_cache()
self.map_tokens = map_tokens
self.tokenizer = tiktoken.encoding_for_model(main_model)
>>>>>>> UPDATED
```
This change replaces the `use_ctags` parameter with the `map_tokens` parameter in the `__init__` method of the `RepoMap` class. Make sure to update any other parts of the code that use `use_ctags` to use `map_tokens` instead.
# Context:
USER: I added these *read-write* files: aider/coder.py
ASSISTANT: Great! Now I will modify the `aider/coder.py` file to accept and use the `map_tokens` parameter instead of `use_ctags`.
```python
aider/coder.py
<<<<<<< ORIGINAL
def __init__(
self,
io,
main_model="gpt-4",
fnames=None,
pretty=True,
show_diffs=False,
auto_commits=True,
dirty_commits=True,
dry_run=False,
use_ctags=False,
verbose=False,
openai_api_key=None,
):
...
self.repo_map = RepoMap(use_ctags, self.root, self.main_model, rm_io)
=======
def __init__(
self,
io,
main_model="gpt-4",
fnames=None,
pretty=True,
show_diffs=False,
auto_commits=True,
dirty_commits=True,
dry_run=False,
map_tokens=1024,
verbose=False,
openai_api_key=None,
):
...
self.repo_map = RepoMap(map_tokens, self.root, self.main_model, rm_io)
>>>>>>> UPDATED
```
This change updates the `Coder` class in `aider/coder.py` to accept the `map_tokens` parameter and pass it to the `RepoMap` class instead of `use_ctags`.
# Context:
USER: pass it to Coder as map_tokens instead of `use_ctags`
ASSISTANT: I will modify the `aider/main.py` file to pass `map_tokens` to the `Coder` class instead of `use_ctags`.
```python
aider/main.py
<<<<<<< ORIGINAL
coder = Coder(
io,
main_model=args.model,
fnames=args.files,
pretty=args.pretty,
show_diffs=args.show_diffs,
auto_commits=args.auto_commits,
dirty_commits=args.dirty_commits,
dry_run=args.dry_run,
use_ctags=args.ctags,
verbose=args.verbose,
openai_api_key=args.openai_api_key,
)
=======
coder = Coder(
io,
main_model=args.model,
fnames=args.files,
pretty=args.pretty,
show_diffs=args.show_diffs,
auto_commits=args.auto_commits,
dirty_commits=args.dirty_commits,
dry_run=args.dry_run,
map_tokens=args.map_tokens,
verbose=args.verbose,
openai_api_key=args.openai_api_key,
)
>>>>>>> UPDATED
```
Now, the `map_tokens` value is passed to the `Coder` class instead of `use_ctags`. Please make sure to update the `Coder` class in `aider/coder.py` to accept and use the `map_tokens` parameter.
# Context:
USER: change the --ctags switch into --map-tokens, which is an int that defaults to 1024
ASSISTANT: To make this change, I need to modify the `aider/main.py` file. Please make it *read-write* and let me know when it's done.
USER: I added these *read-write* files: aider/main.py
ASSISTANT: Great! I will now modify the `aider/main.py` file to change the `--ctags` switch into `--map-tokens`, which is an int that defaults to 1024.
```python
aider/main.py
<<<<<<< ORIGINAL
parser.add_argument(
"--ctags",
type=lambda x: (str(x).lower() == "true"),
nargs="?",
const=True,
default=None,
help=(
"Add ctags to the chat to help GPT understand the codebase (default: check for ctags"
" executable)"
),
)
=======
parser.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Number of tokens to map for code understanding (default: 1024)",
)
>>>>>>> UPDATED
```
This change replaces the `--ctags` argument with the `--map-tokens` argument, which takes an integer value and defaults to 1024.
# 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: is there another persistent dictionary besides shelve?
ASSISTANT: Yes, there are several alternatives to `shelve` for creating persistent dictionaries in Python. Some popular options include:
1. `pickle`: A built-in Python module for object serialization and deserialization. You can use it to store dictionaries in binary format and load them back into memory when needed.
2. `json`: Another built-in Python module for working with JSON data. You can use it to store dictionaries in a human-readable format and load them back into memory when needed.
3. `sqlite3`: A built-in Python module for working with SQLite databases. You can use it to create a simple key-value store with SQL queries.
4. `TinyDB`: A lightweight, document-oriented database for Python
^C KeyboardInterrupt
USER: i want something which presents as a dict though
ASSISTANT: In that case, you can use the `sqlite3` module to create a custom class that behaves like a dictionary. Here's an example of how you can create a persistent dictionary using SQLite:
```python
import sqlite3
class
^C KeyboardInterrupt
USER: i don't want to build something. i want an existing package.
ASSISTANT: I apologize for the confusion. In that case, you can use the `diskcache` package, which provides a dictionary-like interface for disk-based storage. It is easy to use and has good performance.
To install `diskcache`, you can use pip:
```
pip install diskcache
```
Here's an example of how to use `diskcache`:
```python
from diskcache import Cache
cache = Cache('path/to/cache/directory')
# Set a key-value pair
cache['key'] = 'value'
# Get the value for a key
value = cache['key']
# Check if a key is in the cache
if 'key' in cache:
print('Key exists')
# Delete a key-value pair
del cache['key']
# Close the cache when done
cache.close()
```
This will create a persistent dictionary-like object using the `diskcache` package. The data will be stored on disk in the specified directory, and you can use the standard dictionary methods to interact with it.
USER: great. use that.
ASSISTANT: To use `diskcache` in the `aider/repomap.py` file, you'll need to replace the `shelve` usage with `diskcache`. Here are the changes you need to make:
1. Install `diskcache` using pip:
```
pip install diskcache
```
2. Modify the `aider/repomap.py` file:
```python
aider/repomap.py
<<<<<<< ORIGINAL
import colorsys
import json
import os
import random
import subprocess
import sys
import tempfile
from collections import Counter, defaultdict
# import shelve
=======
import colorsys
import json
import os
import random
import subprocess
import sys
import tempfile
from collections import Counter, defaultdict
from diskcache import Cache
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
IDENT_CACHE_FILE = ".aider.ident.cache"
TAGS_CACHE_FILE = ".aider.tags.cache"
=======
IDENT_CACHE_DIR = ".aider.ident.cache"
TAGS_CACHE_DIR = ".aider.tags.cache"
>>>>>>> UPDATED
```
```python
aider/repomap.py
<<<<<<< ORIGINAL
def load_tags_cache(self):
self.TAGS_CACHE = dict() # shelve.open(self.TAGS_CACHE_FILE)
def save_tags_cache(self):
# self.TAGS_CACHE.sync()
pass
def load_ident_cache(self):
self.IDENT_CACHE = dict() # shelve.open(self.IDENT_CACHE_FILE)
def save_ident_cache(self):
# self.IDENT_CACHE.sync()
pass
=======
def load_tags_cache(self):
self.TAGS_CACHE = Cache(self.TAGS_CACHE_DIR)
def save_tags_cache(self):
self.TAGS_CACHE.close()
def load_ident_cache(self):
self.IDENT_CACHE = Cache(self.IDENT_CACHE_DIR)
def save_ident_cache(self):
self.IDENT_CACHE.close()
>>>>>>> UPDATED
```
These changes will replace the usage of `shelve` with `diskcache` for the `IDENT_CACHE` and `TAGS_CACHE` dictionaries. Make sure to install the `diskcache` package before running the updated code.
