ai-assistant/assistant.py

#!/bin/python3
# Chat with an intelligent assistant in your terminal
from ollama import Client
import re
import pyperclip
import sys
import argparse
import pygments
from pygments.lexers import get_lexer_by_name
from pygments.formatters import TerminalFormatter


model = 'llama3.1:8b-instruct-q8_0'
temp = 0.2

pattern = r'```[a-z]*\n[\s\S]*?\n```'
line_pattern = r'`[a-z]*[\s\S]*?`'

def highlight_code(language_name, code):
    # Check if the language is specified in the first line
    lexer_name = language_name
    if lexer_name == None:
        lines = code.split('\n')
        for line in lines:
            if line.strip().startswith('```'):
                lexer_name = line.strip().split('```')[1].strip()
                break
            elif line.strip().startswith('lang:'):
                lexer_name = line.strip().split(':')[1].strip()
                break

    if lexer_name:
        try:
            # Try to get the lexer by name
            lexer = get_lexer_by_name(lexer_name)
        except ValueError:
            # If the lexer is not found, guess it
            lexer = guess_lexer(code.split('\n')[1:-1])
            if not lexer:
                # If no lexer is guessed, default to bash
                lexer = get_lexer_by_name('bash')
    else:
        # If no language is specified, guess the lexer
        lexer = guess_lexer(code.split('\n')[1:-1])
        if not lexer:
            # If no lexer is guessed, default to bash
            lexer = get_lexer_by_name('bash')

    formatter = TerminalFormatter()

    just_code = ''
    lines = code.split('\n')
    # Just a single line of code, without code blocks around it
    if len(lines) == 2:
        just_code = code
    else:
        just_code = '\n'.join(code.split('\n')[1:-1])

    highlighted_code = pygments.highlight(just_code, lexer, formatter)
    return highlighted_code

def extract_code_block(markdown_text):
    # Use the regular expression pattern to find all matches in the markdown text
    matches = re.finditer(pattern, markdown_text)

    # Iterate over the matches and extract the code blocks
    code_blocks = []
    for match in matches:
        code_block = match.group(0)

        highlighted_code = highlight_code(None, code_block)

        # Add the highlighted code block to the list of code blocks
        code_blocks.append(highlighted_code)


    if len(code_blocks) == 0:
        line_matches = re.finditer(line_pattern, markdown_text)
        for match in line_matches:
            code_block = match.group(0)
            code_blocks.append(code_block[1:-1])
    return code_blocks

def copy_string_to_clipboard(string):
    try:
        pyperclip.copy(string)
    except:
        return

# Point to the local server
client = Client(host='localhost:11434')

code_history = []

history = [
        {"role": "system", "content": "You are a helpful, smart, kind, and efficient AI assistant. You always fulfill the user's requests accurately and concisely."},
        ]

def chat(message, stream=True):
    history.append({"role": "user", "content": message})
    completion = client.chat(
            model=model,
            options={"temperature":temp},
            messages=history,
            stream=stream
            )
    result = ''
    language = ''
    large_chunk = []
    for chunk in completion:
        if stream:
            text = chunk['message']['content']
            large_chunk.append(text)
            large_text = ''.join(large_chunk)
            
            # Syntax highlight if possible
            # check if highlighting can be done
            if ('\n' in large_text) and ('```' in large_text):
                language = large_text.split('```')[1].split('\n')[0]
                print(large_text, end='', flush=True)
                large_chunk = []
                large_text = ''
            if language == '':
                language = None

            if '\n' in large_text:
                output = large_text
                if language != None:
                    output = highlight_code(language, output)
                print(output, end='', flush=True)
                large_chunk = []
            # print(highlighted_text, end='', flush=True)
            result += text
    if not stream:
        result = completion['message']['content']
    if stream:
        print()
    history.append({"role": 'assistant', 'content': result})
    return result

def parse_args():
    # Create the parser
    parser = argparse.ArgumentParser(description='Copy and open a source file in TextEdit')
    # Add the --follow-up (-f) argument
    parser.add_argument('--follow-up', '-f', nargs='?', const=True, default=False, help='Ask a follow up question when piping in context')
    # Add the --copy (-c) argument
    parser.add_argument('--copy', '-c', action='store_true', help='copy a codeblock if it appears')
    # Add the --shell (-s) argument
    parser.add_argument('--shell', '-s', nargs='?', const=True, default=False, help='output a shell command that does as described')
    # Add the --model (-m) argument
    parser.add_argument('--model', '-m', nargs='?', const=True, default=False, help='Specify model')
    # Add the --temp (-t) argument
    parser.add_argument('--temp', '-t', nargs='?', const=True, default=False, help='Specify temperature')
    # Parse the arguments
    return parser.parse_args()

def arg_follow_up(args):
    sys.stdin = open('/dev/tty')
    if args.follow_up != True:
        second_input = args.follow_up
    else:
        second_input = input('> ')
    return second_input

def arg_shell(args):
    query = 'Form a shell command based on the following description. Only output a working shell command .\nDescription: '
    if args.shell != True:
        query += args.shell
    else:
        query += input('> ')
    result = chat(query, False)
    result = blocks[0] if len(blocks := extract_code_block(result)) else result
    print(blocks)
    copy_string_to_clipboard(result)

def handle_piped_input(args):
    all_input = sys.stdin.read()
    query = 'Use the following context to answer the question. There will be no follow up questions from the user so make sure your answer is complete:\nSTART CONTEXT\n' + all_input + '\nEND CONTEXT\nAfter you answer the question, reflect on your answer and determine if it answers the question correctly.'
    if args.copy:
        query += 'Answer the question using a codeblock for any code or shell scripts\n'
    if args.follow_up:
        query += arg_follow_up(args)
    query += '\n'

    result = chat(query)
    blocks = extract_code_block(result)
    if args.copy and len(blocks):
        copy_string_to_clipboard(blocks[0])

def handle_non_piped_input(args):
    if args.shell:
        arg_shell(args)
        exit()
    if args.follow_up:
        user_input = arg_follow_up(args)
        result = chat(user_input)
        code_blocks = extract_code_block(result)
        exit()
    while True:
        try:
            user_input = input('> ')
        except (EOFError, KeyboardInterrupt):
            print()
            exit()
        else:
            chat(user_input)

def main():
    args = parse_args()
    if args.model:
        global model 
        model = args.model
    if args.temp:
        global temp
        temp = float(args.temp)
    if not sys.stdin.isatty():
        handle_piped_input(args)
    else:
        handle_non_piped_input(args)

if __name__ == '__main__':
    main()