fabric/installer/client/cli/fabric.py

from .utils import Standalone, Update, Setup, Alias, run_electron_app
import argparse
import sys
import os


script_directory = os.path.dirname(os.path.realpath(__file__))


def main():
    parser = argparse.ArgumentParser(
        description="An open source framework for augmenting humans using AI."
    )
    parser.add_argument("--text", "-t", help="Text to extract summary from")
    parser.add_argument(
        "--copy", "-C", help="Copy the response to the clipboard", action="store_true"
    )
    parser.add_argument(
        '--agents', '-a',
        help="Use praisonAI to create an AI agent and then use it. ex: 'write me a movie script'", action="store_true"
    )

    parser.add_argument(
        "--output",
        "-o",
        help="Save the response to a file",
        nargs="?",
        const="analyzepaper.txt",
        default=None,
    )
    parser.add_argument('--session', '-S',
                        help="Continue your previous conversation. Default is your previous conversation", nargs="?", const="default")
    parser.add_argument(
        '--clearsession', help="deletes indicated session. Use 'all' to delete all sessions")
    parser.add_argument('--sessionlog', help="View the log of a session")
    parser.add_argument(
        '--listsessions', help="List all sessions", action="store_true")
    parser.add_argument(
        "--gui", help="Use the GUI (Node and npm need to be installed)", action="store_true")
    parser.add_argument(
        "--stream",
        "-s",
        help="Use this option if you want to see the results in realtime. NOTE: You will not be able to pipe the output into another command.",
        action="store_true",
    )
    parser.add_argument(
        "--list", "-l", help="List available patterns", action="store_true"
    )
    parser.add_argument(
        '--temp', help="set the temperature for the model. Default is 0", default=0, type=float)
    parser.add_argument(
        '--top_p', help="set the top_p for the model. Default is 1", default=1, type=float)
    parser.add_argument(
        '--frequency_penalty', help="set the frequency penalty for the model. Default is 0.1", default=0.1, type=float)
    parser.add_argument(
        '--presence_penalty', help="set the presence penalty for the model. Default is 0.1", default=0.1, type=float)
    parser.add_argument(
        "--update", "-u", help="Update patterns. NOTE: This will revert the default model to gpt4-turbo. please run --changeDefaultModel to once again set default model", action="store_true")
    parser.add_argument("--pattern", "-p", help="The pattern (prompt) to use")
    parser.add_argument(
        "--setup", help="Set up your fabric instance", action="store_true"
    )
    parser.add_argument('--changeDefaultModel',
                        help="Change the default model. For a list of available models, use the --listmodels flag.")

    parser.add_argument(
        "--model", "-m", help="Select the model to use"
    )
    parser.add_argument(
        "--listmodels", help="List all available models", action="store_true"
    )
    parser.add_argument('--remoteOllamaServer',
                        help='The URL of the remote ollamaserver to use. ONLY USE THIS if you are using a local ollama server in an non-default location or port')
    parser.add_argument('--context', '-c',
                        help="Use Context file (context.md) to add context to your pattern", action="store_true")

    args = parser.parse_args()
    home_holder = os.path.expanduser("~")
    config = os.path.join(home_holder, ".config", "fabric")
    config_patterns_directory = os.path.join(config, "patterns")
    config_context = os.path.join(config, "context.md")
    env_file = os.path.join(config, ".env")
    if not os.path.exists(config):
        os.makedirs(config)
    if args.setup:
        Setup().run()
        Alias().execute()
        sys.exit()
    if not os.path.exists(env_file) or not os.path.exists(config_patterns_directory):
        print("Please run --setup to set up your API key and download patterns.")
        sys.exit()
    if not os.path.exists(config_patterns_directory):
        Update()
        Alias()
        sys.exit()
    if args.changeDefaultModel:
        Setup().default_model(args.changeDefaultModel)
        sys.exit()
    if args.gui:
        run_electron_app()
        sys.exit()
    if args.update:
        Update()
        Alias()
        sys.exit()
    if args.context:
        if not os.path.exists(os.path.join(config, "context.md")):
            print("Please create a context.md file in ~/.config/fabric")
            sys.exit()
    if args.agents:
        standalone = Standalone(args)
        text = ""  # Initialize text variable
        # Check if an argument was provided to --agents
        if args.text:
            text = args.text
        else:
            text = standalone.get_cli_input()
        if text:
            standalone = Standalone(args)
            standalone.agents(text)
            sys.exit()
    if args.session:
        from .helper import Session
        session = Session()
        if args.session == "default":
            session_file = session.find_most_recent_file()
            if session_file is None:
                args.session = "default"
            else:
                args.session = session_file.split("/")[-1]
    if args.clearsession:
        from .helper import Session
        session = Session()
        session.clear_session(args.clearsession)
        if args.clearsession == "all":
            print(f"All sessions cleared")
        else:
            print(f"Session {args.clearsession} cleared")
        sys.exit()
    if args.sessionlog:
        from .helper import Session
        session = Session()
        print(session.session_log(args.sessionlog))
        sys.exit()
    if args.listsessions:
        from .helper import Session
        session = Session()
        session.list_sessions()
        sys.exit()
    standalone = Standalone(args, args.pattern)
    if args.list:
        try:
            direct = sorted(os.listdir(config_patterns_directory))
            for d in direct:
                print(d)
            sys.exit()
        except FileNotFoundError:
            print("No patterns found")
            sys.exit()
    if args.listmodels:
        gptmodels, localmodels, claudemodels, googlemodels = standalone.fetch_available_models()
        print("GPT Models:")
        for model in gptmodels:
            print(model)
        print("\nLocal Models:")
        for model in localmodels:
            print(model)
        print("\nClaude Models:")
        for model in claudemodels:
            print(model)
        print("\nGoogle Models:")
        for model in googlemodels:
            print(model)
        sys.exit()
    if args.text is not None:
        text = args.text
    else:
        text = standalone.get_cli_input()
    if args.stream and not args.context:
        if args.remoteOllamaServer:
            standalone.streamMessage(text, host=args.remoteOllamaServer)
        else:
            standalone.streamMessage(text)
        sys.exit()
    if args.stream and args.context:
        with open(config_context, "r") as f:
            context = f.read()
            if args.remoteOllamaServer:
                standalone.streamMessage(
                    text, context=context, host=args.remoteOllamaServer)
            else:
                standalone.streamMessage(text, context=context)
        sys.exit()
    elif args.context:
        with open(config_context, "r") as f:
            context = f.read()
            if args.remoteOllamaServer:
                standalone.sendMessage(
                    text, context=context, host=args.remoteOllamaServer)
            else:
                standalone.sendMessage(text, context=context)
        sys.exit()
    else:
        if args.remoteOllamaServer:
            standalone.sendMessage(text, host=args.remoteOllamaServer)
        else:
            standalone.sendMessage(text)
        sys.exit()


if __name__ == "__main__":
    main()