# 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: 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: 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.
# Context:
USER: make `get_ranked_tags_map` use binary search
ASSISTANT: To modify the `get_ranked_tags_map` function to use binary search, follow these steps:
1. Replace the for loop with a binary search implementation.
2. Update the loop to calculate the middle index and generate the tree with the middle index.
3. Check if the number of tokens is less than `max_map_tokens`. If it is, update the lower bound. Otherwise, update the upper bound.
4. Continue the binary search until the lower bound is greater than or equal to the upper bound.
Here's the updated `get_ranked_tags_map` function:
```python
aider/repomap.py
<<<<<<< ORIGINAL
def get_ranked_tags_map(self, fnames):
# 1/4 of gpt-4's context window
max_map_tokens = 2048
ranked_tags = self.get_ranked_tags(fnames)
num_tags = len(ranked_tags)
for i in range(num_tags, 0, -1):
tree = to_tree(ranked_tags[:i])
num_tokens = self.token_count(tree)
dump(i, num_tokens)
if num_tokens < max_map_tokens:
return tree
=======
def get_ranked_tags_map(self, fnames):
# 1/4 of gpt-4's context window
max_map_tokens = 2048
ranked_tags = self.get_ranked_tags(fnames)
num_tags = len(ranked_tags)
lower_bound = 0
upper_bound = num_tags
best_tree = None
while lower_bound <= upper_bound:
middle = (lower_bound + upper_bound) // 2
tree = to_tree(ranked_tags[:middle])
num_tokens = self.token_count(tree)
if num_tokens < max_map_tokens:
best_tree = tree
lower_bound = middle + 1
else:
upper_bound = middle - 1
return best_tree
>>>>>>> UPDATED
```
# Context:
USER: do the todo
ASSISTANT: I see a "todo" comment in the `aider/repomap.py` file. To complete the task, we need to calculate the sum of the weights of every inbound edge to each node in the graph. Here's how to do it:
```python
aider/repomap.py
<<<<<<< ORIGINAL
for node in G.nodes:
# todo: sum up the weight of every inbound edge to node
pass
=======
inbound_weights = {}
for node in G.nodes:
inbound_weights[node] = sum(data["weight"] for _, _, data in G.in_edges(node, data=True))
>>>>>>> UPDATED
```
This code calculates the sum of the weights of every inbound edge to each node and stores the result in the `inbound_weights` dictionary.
# 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.
