# Context:
USER: is there a standard way to version these cache files?
ASSISTANT: Yes, a standard way to version cache files is to include a version number in the cache file name or within the cache data. This allows you to easily identify and manage different versions of the cache, and update the cache handling logic when needed.
Here's how you can implement cache versioning in your `RepoMap` class:
1. Add a constant for the cache version at the beginning of the class.
2. Modify the cache directory names to include the version number.
3. When loading the cache, check if the version matches the current version. If not, clear the cache and start fresh.
Here are the changes you need to make in `aider/repomap.py`:
```python
aider/repomap.py
<<<<<<< ORIGINAL
class RepoMap:
ctags_cmd = ["ctags", "--fields=+S", "--extras=-F", "--output-format=json"]
IDENT_CACHE_DIR = ".aider.ident.cache"
TAGS_CACHE_DIR = ".aider.tags.cache"
=======
class RepoMap:
CACHE_VERSION = 1
ctags_cmd = ["ctags", "--fields=+S", "--extras=-F", "--output-format=json"]
IDENT_CACHE_DIR = f".aider.ident.cache.v{CACHE_VERSION}"
TAGS_CACHE_DIR = f".aider.tags.cache.v{CACHE_VERSION}"
>>>>>>> UPDATED
```
Now, whenever you need to change the cache format or handling logic, you can simply increment the `CACHE_VERSION` constant, and the cache will be automatically invalidated and recreated with the new version.
# 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.
