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__pycache__ | ||
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.env.local | ||
.venv |
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import click | ||
import os | ||
from lazy_dev_ai.llm import getClient,apply_code_template | ||
from dotenv import load_dotenv | ||
from pathlib import Path | ||
from lazy_dev_ai.prompts.defaults import load_default_prompt | ||
# Load .env and .env.local files | ||
load_dotenv('.env') | ||
load_dotenv('.env.local', override=True) | ||
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@click.group() | ||
@click.option('--api-key', envvar='OPENAI_API_KEY', help='API Key for authentication') | ||
@click.option('--project', envvar='OPENAI_PROJECT',default=None, help='Project identifier (optional)') | ||
@click.option('--organization',envvar='OPENAI_ORGANIZATION', default=None, help='Organization identifier (optional)') | ||
def cli( api_key, project=None,organization=None): | ||
"""Main CLI group with API Key""" | ||
if not api_key: | ||
click.echo("API key not provided. Use --api-key option or set API_KEY in environment variables or .env file.") | ||
getClient(api_key=api_key,project=project,organization=organization) | ||
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@cli.command() | ||
@click.argument('paths', nargs=-1, type=click.Path(exists=True, path_type=Path)) | ||
def improve_comments(paths): | ||
"""Improve the comments of the provided file""" | ||
client = getClient() | ||
prompt = load_default_prompt('comment') | ||
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for f in paths: | ||
if f.is_file(): | ||
click.echo(f"Applying template to {f.as_posix()}") | ||
# apply_code_template(code_file=path,prompt=prompt) | ||
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if __name__ == '__main__': | ||
cli() |
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from openai import OpenAI | ||
from pydantic import BaseModel, Field, ConfigDict | ||
from pathlib import Path | ||
from string import Template | ||
from enum import Enum | ||
import importlib.resources | ||
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default_template=None | ||
client = None | ||
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with importlib.resources.open_text("lazy_dev_ai.templates", "default_base.txt") as file: | ||
default_template = Template(file.read()) | ||
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class OpenAIRole(str, Enum): | ||
SYSTEM = "system" | ||
USER = "user" | ||
ASSISTANT = "assistant" | ||
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class SEVERITY(str,Enum): | ||
LOW = "LOW" | ||
MEDIUM="MEDIUM" | ||
HIGH = "HIGH" | ||
CRITICAL = "CRITICAL" | ||
class ChatGPTMessage(BaseModel): | ||
role: OpenAIRole | ||
content: str | ||
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class CodeChangeResponse(BaseModel): | ||
#To provide flexibility in response model, we are allowing extra fields | ||
model_config = ConfigDict(extra="allow") | ||
change_required:bool | ||
content:str|None = Field(None) | ||
change_explanation:str|None = Field(None) | ||
severity:SEVERITY|None = Field(None) | ||
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def getClient(api_key:str=None, organization:str=None, project:str=None)->OpenAI: | ||
global client | ||
if client is None: | ||
client = OpenAI( | ||
api_key=api_key, | ||
organization=organization, | ||
project = project, | ||
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) | ||
return client | ||
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def load_template(file: str | Path|None =None) -> Template: | ||
if file is None: | ||
return default_template | ||
# Ensure the file path is a Path object | ||
file_path = Path(file) | ||
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# Check if the file exists | ||
if not file_path.exists(): | ||
raise FileNotFoundError(f"The file {file_path} does not exist.") | ||
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# Read the contents of the file | ||
with file_path.open("r", encoding="utf-8") as f: | ||
template_content = f.read() | ||
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# Return the Template object | ||
return Template(template_content) | ||
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def load_file(file:str | Path) -> str: | ||
# Ensure the file path is a Path object | ||
file_path = Path(file) | ||
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# Check if the file exists | ||
if not file_path.exists(): | ||
raise FileNotFoundError(f"The file {file_path} does not exist.") | ||
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# Read the contents of the file | ||
with file_path.open("r", encoding="utf-8") as f: | ||
content = f.read() | ||
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# Return the Template object | ||
return content | ||
def write_file(file:str|Path, contents:str): | ||
file_path = Path(file) | ||
with file_path.open("w", encoding="utf-8") as f: | ||
f.write(contents) | ||
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def apply_code_template(code_file:str|Path,prompt_file:str|Path=None,prompt:str=None,model: str = "gpt-4-turbo",template_file:str|Path=None)->CodeChangeResponse: | ||
if prompt is None and prompt_file is None: | ||
raise ValueError("Must provide either a prompt or a prompt file") | ||
prompt = prompt or load_file(prompt_file) | ||
template = load_template(template_file) | ||
code = load_file(code_file) | ||
messages = [ | ||
ChatGPTMessage(role=OpenAIRole.SYSTEM,content=template.substitute({"file_contents":code,"prompt":prompt})), | ||
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] | ||
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response = getClient().chat.completions.create(model=model, messages=messages) | ||
code_changes = CodeChangeResponse.model_validate_json(response.choices[0].message) | ||
if code_changes.change_required() and code_changes.content is not None: | ||
write_file(file=code_file,contents=code_changes.content) | ||
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Review the following code and suggest improvements to the codebase. Ensure that you provide comments explaining the changes. |
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Review the following code for good and useful comments. Please suggested changes to existing comments and feel free to add new ones that make sense. |
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from typing import Literal | ||
import importlib | ||
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default_prompts = Literal["comment","cleanup"] | ||
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def load_default_prompt(prompt_name:default_prompts)->str: | ||
file = None | ||
if prompt_name == "cleanup": | ||
file = "default_cleanup.txt" | ||
elif prompt_name == "comment": | ||
file= "default_comment.txt" | ||
with importlib.resources.open_text("lazy_dev_ai.prompts", file) as file: | ||
return file.read() |
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$prompt | ||
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Based on your analysis, respond with a JSON object containing two fields: | ||
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change_required: A boolean field indicating whether any changes are required. | ||
content: An optional field. If changes are required, provide the updated file here. If no changes are necessary, this field can be omitted or left empty. | ||
change_explanation: An optional field. If explanations to the changes are required, provide the explanation here. This field can be omitted or left empty. | ||
severity: A indication as to the severity of the suggested changes. Possible values are LOW, MEDIUM, HIGH, CRITICAL | ||
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File content: | ||
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$file_contents | ||
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Respond with a JSON object only. Do not include explanations or commentary outside the JSON object. | ||
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