tabbyAPI-ollama/start.py
kingbri 3c8384ee71 Start: Fix startup with new argparser
Since the full argparser requires pydantic, gate it until all dependencies
are installed.

Also if the venv is deleted, assume that start_options.json is invalid
as well.

Signed-off-by: kingbri <bdashore3@proton.me>
2024-09-21 14:36:21 -04:00

303 lines
9.2 KiB
Python

"""Utility to automatically upgrade and start the API"""
import argparse
import json
import os
import pathlib
import platform
import subprocess
import sys
from shutil import copyfile
import traceback
start_options = {}
def get_user_choice(question: str, options_dict: dict):
"""
Gets user input in a commandline script.
Originally from: https://github.com/oobabooga/text-generation-webui/blob/main/one_click.py#L213
"""
print()
print(question)
print()
for key, value in options_dict.items():
print(f"{key}) {value.get('pretty')}")
print()
choice = input("Input> ").upper()
while choice not in options_dict.keys():
print("Invalid choice. Please try again.")
choice = input("Input> ").upper()
return choice
def get_install_features(lib_name: str = None):
"""Fetches the appropriate requirements file depending on the GPU"""
install_features = None
possible_features = ["cu121", "cu118", "amd"]
if not lib_name:
# Ask the user for the GPU lib
gpu_lib_choices = {
"A": {"pretty": "NVIDIA Cuda 12.x", "internal": "cu121"},
"B": {"pretty": "NVIDIA Cuda 11.8", "internal": "cu118"},
"C": {"pretty": "AMD", "internal": "amd"},
}
user_input = get_user_choice(
"Select your GPU. If you don't know, select Cuda 12.x (A)",
gpu_lib_choices,
)
lib_name = gpu_lib_choices.get(user_input, {}).get("internal")
# Write to start options
start_options["gpu_lib"] = lib_name
print("Saving your choice to start options.")
# Assume default if the file is invalid
if lib_name and lib_name in possible_features:
print(f"Using {lib_name} dependencies from your preferences.")
install_features = lib_name
else:
print(
f"WARN: GPU library {lib_name} not found. "
"Skipping GPU-specific dependencies.\n"
"WARN: Please remove the `gpu_lib` key from start_options.json and restart "
"if you want to change your selection."
)
return
if install_features == "amd":
# Exit if using AMD and Windows
if platform.system() == "Windows":
print(
"ERROR: TabbyAPI does not support AMD and Windows. "
"Please use Linux and ROCm 6.0. Exiting."
)
sys.exit(0)
# Override env vars for ROCm support on non-supported GPUs
os.environ["ROCM_PATH"] = "/opt/rocm"
os.environ["HSA_OVERRIDE_GFX_VERSION"] = "10.3.0"
os.environ["HCC_AMDGPU_TARGET"] = "gfx1030"
return install_features
def create_argparser():
try:
from common.args import init_argparser
return init_argparser()
except ModuleNotFoundError:
print(
"Pydantic not found. Showing an abridged help menu.\n"
"Run this script once to install dependencies.\n"
)
return argparse.ArgumentParser()
def add_start_args(parser: argparse.ArgumentParser):
"""Add start script args to the provided parser"""
start_group = parser.add_argument_group("start")
start_group.add_argument(
"-ur",
"--update-repository",
action="store_true",
help="Update local git repository to latest",
)
start_group.add_argument(
"-ud",
"--update-deps",
action="store_true",
help="Update all pip dependencies",
)
start_group.add_argument(
"-fr",
"--force-reinstall",
action="store_true",
help="Forces a reinstall of dependencies. Only works with --update-deps",
)
start_group.add_argument(
"-nw",
"--nowheel",
action="store_true",
help="Don't upgrade wheel dependencies (exllamav2, torch)",
)
start_group.add_argument(
"--gpu-lib",
type=str,
help="Select GPU library. Options: cu121, cu118, amd",
)
def migrate_gpu_lib():
gpu_lib_path = pathlib.Path("gpu_lib.txt")
if not gpu_lib_path.exists():
return
print("Migrating gpu_lib.txt to the new start_options.json")
with open("gpu_lib.txt", "r") as gpu_lib_file:
start_options["gpu_lib"] = gpu_lib_file.readline().strip()
start_options["first_run_done"] = True
# Remove the old file
gpu_lib_path.unlink()
print(
"Successfully migrated gpu lib options to start_options. "
"The old file has been deleted."
)
if __name__ == "__main__":
subprocess.run(["pip", "-V"])
# Create an argparser and add extra startup script args
# Try creating a full argparser if pydantic is installed
# Otherwise, create an abridged one solely for startup
try:
from common.args import init_argparser
parser = init_argparser()
has_full_parser = True
except ModuleNotFoundError:
parser = argparse.ArgumentParser(
description="Abridged TabbyAPI start script parser.",
epilog=(
"Some dependencies were not found to display the full argparser. "
"Run the script once to install/update them."
),
)
has_full_parser = False
add_start_args(parser)
args, _ = parser.parse_known_args()
script_ext = "bat" if platform.system() == "Windows" else "sh"
start_options_path = pathlib.Path("start_options.json")
if start_options_path.exists():
with open(start_options_path) as start_options_file:
start_options = json.load(start_options_file)
print("Loaded your saved preferences from `start_options.json`")
if start_options.get("first_run_done"):
first_run = False
else:
print(
"It looks like you're running TabbyAPI for the first time. "
"Getting things ready..."
)
# Migrate from old setting storage
migrate_gpu_lib()
# Set variables that rely on start options
first_run = not start_options.get("first_run_done")
# Set gpu_lib for dependency install
if args.gpu_lib:
print("Overriding GPU lib name from args.")
gpu_lib = args.gpu_lib
elif "gpu_lib" in start_options:
gpu_lib = start_options.get("gpu_lib")
else:
gpu_lib = None
# Pull from GitHub
if args.update_repository:
print("Pulling latest changes from Github.")
pull_command = "git pull"
subprocess.run(pull_command.split(" "))
# Install/update dependencies
if first_run or args.update_deps:
install_command = ["pip", "install", "-U"]
# Force a reinstall of the updated dependency if needed
if args.force_reinstall:
install_command.append("--force-reinstall")
install_features = None if args.nowheel else get_install_features(gpu_lib)
features = f".[{install_features}]" if install_features else "."
install_command.append(features)
# pip install .[features]
print(f"Running install command: {' '.join(install_command)}")
subprocess.run(install_command)
print()
if args.update_deps:
print(
f"Dependencies updated. Please run TabbyAPI with `start.{script_ext}`. "
"Exiting."
)
sys.exit(0)
else:
print(
f"Dependencies installed. Update them with `update_deps.{script_ext}` "
"inside the `update_scripts` folder."
)
# First run options
if first_run:
start_options["first_run_done"] = True
# Save start options
with open("start_options.json", "w") as start_file:
start_file.write(json.dumps(start_options))
print(
"Successfully wrote your start script options to "
"`start_options.json`. \n"
"If something goes wrong, editing or deleting the file "
"will reinstall TabbyAPI as a first-time user."
)
# Expand the parser if it's not fully created
if not has_full_parser:
from common.args import init_argparser
parser = init_argparser(parser)
args = parser.parse_args()
# Assume all dependencies are installed from here
try:
from common.args import convert_args_to_dict
from main import entrypoint
converted_args = convert_args_to_dict(args, parser)
# Create a config if it doesn't exist
# This is not necessary to run TabbyAPI, but is new user proof
config_path = (
pathlib.Path(args.config) if args.config else pathlib.Path("config.yml")
)
if not config_path.exists():
sample_config_path = pathlib.Path("config_sample.yml")
copyfile(sample_config_path, config_path)
print(
"A config.yml wasn't found.\n"
f"Created one at {str(config_path.resolve())}"
)
print("Starting TabbyAPI...")
entrypoint(converted_args)
except (ModuleNotFoundError, ImportError):
traceback.print_exc()
print(
"\n"
"This error was raised because a package was not found.\n"
"Update your dependencies by running update_scripts/"
f"update_deps.{'bat' if platform.system() == 'Windows' else 'sh'}\n\n"
)