# 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.
# 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.
# Context:
USER: AttributeError: 'MarkdownLexer' object has no attribute 'lex_document'
ASSISTANT: I apologize for the confusion. It seems I misunderstood the usage of `MarkdownLexer` with `prompt_toolkit`. Instead, we should use `PygmentsLexer` from `prompt_toolkit.lexers` to wrap the `MarkdownLexer`. Here's the updated change:
First, import `PygmentsLexer` from `prompt_toolkit.lexers`:
```python
aider/io.py
<<<<<<< ORIGINAL
from prompt_toolkit.completion import Completer, Completion
=======
from prompt_toolkit.completion import Completer, Completion
from prompt_toolkit.lexers import PygmentsLexer
>>>>>>> UPDATED
```
Then, update the `PromptSession` instantiation in the `get_input` method:
```python
aider/io.py
<<<<<<< ORIGINAL
session_kwargs = {
"message": show,
"completer": completer_instance,
"reserve_space_for_menu": 4,
"complete_style": CompleteStyle.MULTI_COLUMN,
"input": self.input,
"output": self.output,
"lexer": MarkdownLexer(),
}
=======
session_kwargs = {
"message": show,
"completer": completer_instance,
"reserve_space_for_menu": 4,
"complete_style": CompleteStyle.MULTI_COLUMN,
"input": self.input,
"output": self.output,
"lexer": PygmentsLexer(MarkdownLexer),
}
>>>>>>> UPDATED
```
These changes will correctly use the `MarkdownLexer` with `prompt_toolkit` to highlight the user input with markdown syntax.
# Context:
USER: have `prompt_toolkit` highlight the user input with a markdown lexer
ASSISTANT: To highlight the user input with a markdown lexer, we need to modify the `aider/io.py` file. We will import the `MarkdownLexer` from `pygments.lexers.markup` and use it as the lexer for the `PromptSession`.
Here's the change you need to make:
```python
aider/io.py
<<<<<<< ORIGINAL
from pygments.lexers import guess_lexer_for_filename
=======
from pygments.lexers import guess_lexer_for_filename, MarkdownLexer
>>>>>>> UPDATED
```
And update the `PromptSession` instantiation in the `get_input` method:
```python
aider/io.py
<<<<<<< ORIGINAL
session_kwargs = {
"message": show,
"completer": completer_instance,
"reserve_space_for_menu": 4,
"complete_style": CompleteStyle.MULTI_COLUMN,
"input": self.input,
"output": self.output,
}
=======
session_kwargs = {
"message": show,
"completer": completer_instance,
"reserve_space_for_menu": 4,
"complete_style": CompleteStyle.MULTI_COLUMN,
"input": self.input,
"output": self.output,
"lexer": MarkdownLexer(),
}
>>>>>>> UPDATED
```
These changes will import the `MarkdownLexer` and use it for the `PromptSession`, which will highlight the user input with markdown syntax.
