From b60ceb9168d2be764fa58ef4df9196888308a540 Mon Sep 17 00:00:00 2001 From: Salman Paracha Date: Sun, 6 Oct 2024 18:21:43 -0700 Subject: [PATCH] model server build (#127) * first commit to have model_server not be dependent on Docker * making changes to fix the docker-compose file for archgw to set DNS_V4 and minor fixes with the build * additional fixes for model server to be separated out in the build * additional fixes for model server to be separated out in the build * fix to get model_server to be built as a separate python process. TODO: fix the embeddings logs after cli completes * fixing init to pull tempfile using the tempfile python package --------- Co-authored-by: Salman Paracha --- .gitignore | 4 + arch/docker-compose.yaml | 19 - arch/envoy.template.yaml | 8 +- arch/tools/cli.py | 26 +- arch/tools/core.py | 33 +- model_server/Dockerfile | 4 +- model_server/Dockerfile.gpu | 6 - model_server/README.md | 1 + model_server/__init__.py | 0 model_server/app/__init__.py | 99 + model_server/app/arch_fc/arch_fc.py | 16 +- model_server/app/employee_data_generator.py | 83 - .../{ => app}/guard_model_config.yaml | 0 model_server/app/load_models.py | 2 - model_server/app/main.py | 13 +- model_server/{ => app}/openai_params.yaml | 0 model_server/app/utils.py | 9 +- model_server/poetry.lock | 3144 +++++++++++++++++ model_server/pyproject.toml | 37 + model_server/requirements.txt | 14 +- model_server/setup.py | 26 + 21 files changed, 3390 insertions(+), 154 deletions(-) create mode 100644 model_server/README.md create mode 100644 model_server/__init__.py delete mode 100644 model_server/app/employee_data_generator.py rename model_server/{ => app}/guard_model_config.yaml (100%) rename model_server/{ => app}/openai_params.yaml (100%) create mode 100644 model_server/poetry.lock create mode 100644 model_server/pyproject.toml create mode 100644 model_server/setup.py diff --git a/.gitignore b/.gitignore index 43a00567..6278abc0 100644 --- a/.gitignore +++ b/.gitignore @@ -24,4 +24,8 @@ demos/network_copilot/ollama/models/ arch_log/ arch/tools/*.egg-info arch/tools/config +arch/tools/build +model_server/model_server.egg-info model_server/venv_model_server +model_server/build +model_server/dist diff --git a/arch/docker-compose.yaml b/arch/docker-compose.yaml index db0e50aa..750ef19d 100644 --- a/arch/docker-compose.yaml +++ b/arch/docker-compose.yaml @@ -7,24 +7,5 @@ services: volumes: - ${ARCH_CONFIG_FILE:-./demos/function_calling/arch_confg.yaml}:/config/arch_config.yaml - /etc/ssl/cert.pem:/etc/ssl/cert.pem - depends_on: - model_server: - condition: service_healthy env_file: - stage.env - - model_server: - image: model_server:latest - ports: - - "18081:80" - healthcheck: - test: ["CMD", "curl" ,"http://localhost/healthz"] - interval: 5s - retries: 20 - volumes: - - ~/.cache/huggingface:/root/.cache/huggingface - environment: - - OLLAMA_ENDPOINT=${OLLAMA_ENDPOINT:-host.docker.internal} - - OLLAMA_MODEL=Arch-Function-Calling-3B-Q4_K_M - - MODE=${MODE:-cloud} - - FC_URL=${FC_URL:-https://arch-fc-free-trial-4mzywewe.uc.gateway.dev/v1} diff --git a/arch/envoy.template.yaml b/arch/envoy.template.yaml index 900e2065..9e83cf44 100644 --- a/arch/envoy.template.yaml +++ b/arch/envoy.template.yaml @@ -123,8 +123,8 @@ static_resources: - endpoint: address: socket_address: - address: model_server - port_value: 80 + address: host.docker.internal + port_value: 51000 hostname: "model_server" - name: mistral_7b_instruct connect_timeout: 5s @@ -153,8 +153,8 @@ static_resources: - endpoint: address: socket_address: - address: model_server - port_value: 80 + address: host.docker.internal + port_value: 51000 hostname: "arch_fc" {% for _, cluster in arch_clusters.items() %} - name: {{ cluster.name }} diff --git a/arch/tools/cli.py b/arch/tools/cli.py index 140a7070..41c4d1db 100644 --- a/arch/tools/cli.py +++ b/arch/tools/cli.py @@ -5,7 +5,7 @@ import pkg_resources import sys import subprocess -from core import start_arch, stop_arch +from core import start_arch_modelserver, stop_arch_modelserver, start_arch, stop_arch from utils import get_llm_provider_access_keys, load_env_file_to_dict logo = r""" @@ -26,7 +26,7 @@ def main(ctx): # Command to build archgw and model_server Docker images ARCHGW_DOCKERFILE = "./arch/Dockerfile" -MODEL_SERVER_DOCKERFILE = "./model_server/Dockerfile" +MODEL_SERVER_BUILD_FILE = "./model_server/pyproject.toml" @click.command() def build(): @@ -44,21 +44,22 @@ def build(): click.echo("Error: Dockerfile not found in /arch") sys.exit(1) - # Check if /model_server/Dockerfile exists - if os.path.exists(MODEL_SERVER_DOCKERFILE): - click.echo("Building model_server image...") + click.echo("All images built successfully.") + + """Install the model server dependencies using Poetry.""" + # Check if pyproject.toml exists + if os.path.exists(MODEL_SERVER_BUILD_FILE): + click.echo("Installing model server dependencies with Poetry...") try: - subprocess.run(["docker", "build", "-f", MODEL_SERVER_DOCKERFILE, "-t", "model_server:latest", "./model_server"], check=True) - click.echo("model_server image built successfully.") + subprocess.run(["poetry", "install", "--no-cache"], cwd=os.path.dirname(MODEL_SERVER_BUILD_FILE), check=True) + click.echo("Model server dependencies installed successfully.") except subprocess.CalledProcessError as e: - click.echo(f"Error building model_server image: {e}") + click.echo(f"Error installing model server dependencies: {e}") sys.exit(1) else: - click.echo("Error: Dockerfile not found in /model_server") + click.echo(f"Error: pyproject.toml not found in {MODEL_SERVER_BUILD_FILE}") sys.exit(1) - click.echo("All images built successfully.") - @click.command() @click.argument('file', required=False) # Optional file argument @click.option('-path', default='.', help='Path to the directory containing arch_config.yml') @@ -120,11 +121,14 @@ def up(file, path): env = os.environ.copy() env.update(env_stage) env['ARCH_CONFIG_FILE'] = arch_config_file + + start_arch_modelserver() start_arch(arch_config_file, env) @click.command() def down(): """Stops Arch.""" + stop_arch_modelserver() stop_arch() @click.command() diff --git a/arch/tools/core.py b/arch/tools/core.py index 8a0cc38b..ac658b76 100644 --- a/arch/tools/core.py +++ b/arch/tools/core.py @@ -5,14 +5,13 @@ import select from utils import run_docker_compose_ps, print_service_status, check_services_state -def start_arch(arch_config_file, env, log_timeout=120, check_interval=1): +def start_arch(arch_config_file, env, log_timeout=120): """ Start Docker Compose in detached mode and stream logs until services are healthy. Args: path (str): The path where the prompt_confi.yml file is located. log_timeout (int): Time in seconds to show logs before checking for healthy state. - check_interval (int): Time in seconds between health status checks. """ compose_file = pkg_resources.resource_filename(__name__, 'config/docker-compose.yaml') @@ -96,3 +95,33 @@ def stop_arch(): except subprocess.CalledProcessError as e: print(f"Failed to shut down services: {str(e)}") + +def start_arch_modelserver(): + """ + Start the model server. This assumes that the archgw_modelserver package is installed locally + + """ + try: + subprocess.run( + ['archgw_modelserver', 'restart'], + check=True, + ) + print("Successfull run the archgw model_server") + except subprocess.CalledProcessError as e: + print (f"Failed to start model_server. Please check archgw_modelserver logs") + sys.exit(1) + +def stop_arch_modelserver(): + """ + Stop the model server. This assumes that the archgw_modelserver package is installed locally + + """ + try: + subprocess.run( + ['archgw_modelserver', 'stop'], + check=True, + ) + print("Successfull stopped the archgw model_server") + except subprocess.CalledProcessError as e: + print (f"Failed to start model_server. Please check archgw_modelserver logs") + sys.exit(1) diff --git a/model_server/Dockerfile b/model_server/Dockerfile index 242f7893..3c08f821 100644 --- a/model_server/Dockerfile +++ b/model_server/Dockerfile @@ -18,8 +18,8 @@ WORKDIR /src ENV MODELS="BAAI/bge-large-en-v1.5" COPY ./app ./app -COPY ./guard_model_config.yaml . -COPY ./openai_params.yaml . +COPY ./app/guard_model_config.yaml . +COPY ./app/openai_params.yaml . # comment it out for now as we don't want to download the model every time we build the image # we will mount host cache to docker image to avoid downloading the model every time diff --git a/model_server/Dockerfile.gpu b/model_server/Dockerfile.gpu index 672941b2..63ccc786 100644 --- a/model_server/Dockerfile.gpu +++ b/model_server/Dockerfile.gpu @@ -44,14 +44,8 @@ RUN if command -v nvcc >/dev/null 2>&1; then \ COPY . /src -# -# output -# - - # Specify list of models that will go into the image as a comma separated list ENV MODELS="BAAI/bge-large-en-v1.5" -ENV NER_MODELS="urchade/gliner_large-v2.1" ENV DEBIAN_FRONTEND=noninteractive COPY /app /app diff --git a/model_server/README.md b/model_server/README.md new file mode 100644 index 00000000..fe073343 --- /dev/null +++ b/model_server/README.md @@ -0,0 +1 @@ +## Model Server Package ## diff --git a/model_server/__init__.py b/model_server/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/model_server/app/__init__.py b/model_server/app/__init__.py index e69de29b..f209ec07 100644 --- a/model_server/app/__init__.py +++ b/model_server/app/__init__.py @@ -0,0 +1,99 @@ +import sys +import subprocess +import os +import signal +import time +import requests +import psutil +import tempfile + +# Path to the file where the server process ID will be stored +PID_FILE = os.path.join(tempfile.gettempdir(), "model_server.pid") + +def run_server(): + """Start, stop, or restart the Uvicorn server based on command-line arguments.""" + if len(sys.argv) > 1: + action = sys.argv[1] + else: + action = "start" + + if action == "start": + start_server() + elif action == "stop": + stop_server() + elif action == "restart": + restart_server() + else: + print(f"Unknown action: {action}") + sys.exit(1) + + +def start_server(): + """Start the Uvicorn server and save the process ID.""" + if os.path.exists(PID_FILE): + print("Server is already running. Use 'model_server restart' to restart it.") + sys.exit(1) + + print(f"Starting Archgw Model Server") + process = subprocess.Popen( + ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "51000"], + ) + + if wait_for_health_check("http://0.0.0.0:51000/healthz"): + # Write the process ID to the PID file + with open(PID_FILE, "w") as f: + f.write(str(process.pid)) + print(f"ARCH GW Model Server started with PID {process.pid}") + else: + #Add model_server boot-up logs + print(f"ARCH GW Model Server - Didn't Sart In Time. Shutting Down") + process.terminate() + +def wait_for_health_check(url, timeout=180): + """Wait for the Uvicorn server to respond to health-check requests.""" + start_time = time.time() + while time.time() - start_time < timeout: + try: + response = requests.get(url) + if response.status_code == 200: + return True + except requests.ConnectionError: + time.sleep(1) + print("Timed out waiting for ARCH GW Model Server to respond.") + return False + + +def stop_server(): + """Stop the running Uvicorn server.""" + if not os.path.exists(PID_FILE): + print("Status: Archgw Model Server not running") + return + + # Read the process ID from the PID file + with open(PID_FILE, "r") as f: + pid = int(f.read()) + + try: + # Get process by PID + process = psutil.Process(pid) + + # Gracefully terminate the process + process.terminate() # Sends SIGTERM by default + process.wait(timeout=10) # Wait for up to 10 seconds for the process to exit + + print(f"Server with PID {pid} stopped.") + os.remove(PID_FILE) + + except psutil.NoSuchProcess: + print(f"Process with PID {pid} not found. Cleaning up PID file.") + os.remove(PID_FILE) + except psutil.TimeoutExpired: + print(f"Process with PID {pid} did not terminate in time. Forcing shutdown.") + process.kill() # Forcefully kill the process + os.remove(PID_FILE) + +def restart_server(): + """Restart the Uvicorn server.""" + print("Check: Is Archgw Model Server running?") + stop_server() + start_server() diff --git a/model_server/app/arch_fc/arch_fc.py b/model_server/app/arch_fc/arch_fc.py index 7bea01ae..8b1a3335 100644 --- a/model_server/app/arch_fc/arch_fc.py +++ b/model_server/app/arch_fc/arch_fc.py @@ -1,9 +1,10 @@ import json import random from fastapi import FastAPI, Response -from app.arch_fc.arch_handler import ArchHandler -from app.arch_fc.bolt_handler import BoltHandler -from app.arch_fc.common import ChatMessage, Message +from .common import ChatMessage, Message +from .arch_handler import ArchHandler +from .bolt_handler import BoltHandler +from app.utils import load_yaml_config import logging import yaml from openai import OpenAI @@ -14,17 +15,14 @@ level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" ) logger = logging.getLogger(__name__) - -with open("openai_params.yaml") as f: - params = yaml.safe_load(f) - +params = load_yaml_config("openai_params.yaml") ollama_endpoint = os.getenv("OLLAMA_ENDPOINT", "localhost") ollama_model = os.getenv("OLLAMA_MODEL", "Arch-Function-Calling-1.5B-Q4_K_M") -fc_url = os.getenv("FC_URL", ollama_endpoint) +fc_url = os.getenv("FC_URL", "https://arch-fc-free-trial-4mzywewe.uc.gateway.dev/v1") + mode = os.getenv("MODE", "cloud") if mode not in ["cloud", "local-gpu", "local-cpu"]: raise ValueError(f"Invalid mode: {mode}") -arch_api_key = os.getenv("ARCH_API_KEY", "vllm") handler = None if ollama_model.startswith("Arch"): diff --git a/model_server/app/employee_data_generator.py b/model_server/app/employee_data_generator.py deleted file mode 100644 index 85a984af..00000000 --- a/model_server/app/employee_data_generator.py +++ /dev/null @@ -1,83 +0,0 @@ -import pandas as pd -import random -import datetime - - -def generate_employee_data(conn): - # List of possible names, positions, departments, and locations - names = [ - "Alice", - "Bob", - "Charlie", - "David", - "Eve", - "Frank", - "Grace", - "Hank", - "Ivy", - "Jack", - ] - positions = [ - "Manager", - "Engineer", - "Salesperson", - "HR Specialist", - "Marketing Analyst", - ] - departments = ["Engineering", "Marketing", "HR", "Sales", "Finance"] - locations = ["New York", "San Francisco", "Austin", "Boston", "Chicago"] - - # Function to generate random hire date - def random_hire_date(): - start_date = datetime.date(2000, 1, 1) - end_date = datetime.date(2023, 12, 31) - time_between_dates = end_date - start_date - days_between_dates = time_between_dates.days - random_number_of_days = random.randrange(days_between_dates) - hire_date = start_date + datetime.timedelta(days=random_number_of_days) - return hire_date - - # Function to generate random employee data - def generate_employee_records(count): - employees = [] - - for _ in range(count): - name = random.choice(names) - position = random.choice(positions) - salary = round( - random.uniform(50000, 150000), 2 - ) # Salary between 50,000 and 150,000 - department = random.choice(departments) - location = random.choice(locations) - hire_date = random_hire_date() - performance_score = round( - random.uniform(1, 5), 2 - ) # Performance score between 1.0 and 5.0 - years_of_experience = random.randint( - 1, 30 - ) # Years of experience between 1 and 30 - - employee = { - "position": position, - "name": name, - "salary": salary, - "department": department, - "location": location, - "hire_date": hire_date, - "performance_score": performance_score, - "years_of_experience": years_of_experience, - } - - employees.append(employee) - - return employees - - # Generate 10 random employee records - employee_records = generate_employee_records(200) - - # Convert the list of dictionaries to a DataFrame - df = pd.DataFrame(employee_records) - - df.to_sql("employees", conn, index=False) - - return diff --git a/model_server/guard_model_config.yaml b/model_server/app/guard_model_config.yaml similarity index 100% rename from model_server/guard_model_config.yaml rename to model_server/app/guard_model_config.yaml diff --git a/model_server/app/load_models.py b/model_server/app/load_models.py index 9fbafc9e..0947c427 100644 --- a/model_server/app/load_models.py +++ b/model_server/app/load_models.py @@ -17,8 +17,6 @@ def get_device(): def load_transformers(models=os.getenv("MODELS", "BAAI/bge-large-en-v1.5")): transformers = {} device = get_device() - - print(f"Using device: {device}") for model in models.split(","): transformers[model] = sentence_transformers.SentenceTransformer(model, device=device) diff --git a/model_server/app/main.py b/model_server/app/main.py index b2736e7f..3161557d 100644 --- a/model_server/app/main.py +++ b/model_server/app/main.py @@ -5,9 +5,10 @@ load_transformers, load_guard_model, load_zero_shot_models, + get_device ) import os -from app.utils import GuardHandler, split_text_into_chunks +from app.utils import GuardHandler, split_text_into_chunks, load_yaml_config import torch import yaml import string @@ -23,9 +24,7 @@ transformers = load_transformers() zero_shot_models = load_zero_shot_models() - -with open("guard_model_config.yaml") as f: - guard_model_config = yaml.safe_load(f) +guard_model_config = load_yaml_config("guard_model_config.yaml") mode = os.getenv("MODE", "cloud") logger.info(f"Serving model mode: {mode}") @@ -48,12 +47,8 @@ class EmbeddingRequest(BaseModel): @app.get("/healthz") async def healthz(): - import os - - print(os.getcwd()) return {"status": "ok"} - @app.get("/models") async def models(): models = [] @@ -66,6 +61,7 @@ async def models(): @app.post("/embeddings") async def embedding(req: EmbeddingRequest, res: Response): + print(f"Embedding Call Start Time: {time.time()}") if req.model not in transformers: raise HTTPException(status_code=400, detail="unknown model: " + req.model) @@ -80,6 +76,7 @@ async def embedding(req: EmbeddingRequest, res: Response): "prompt_tokens": 0, "total_tokens": 0, } + print(f"Embedding Call Complete Time: {time.time()}") return {"data": data, "model": req.model, "object": "list", "usage": usage} diff --git a/model_server/openai_params.yaml b/model_server/app/openai_params.yaml similarity index 100% rename from model_server/openai_params.yaml rename to model_server/app/openai_params.yaml diff --git a/model_server/app/utils.py b/model_server/app/utils.py index 0af58f9c..49fd4592 100644 --- a/model_server/app/utils.py +++ b/model_server/app/utils.py @@ -2,6 +2,14 @@ from concurrent.futures import ThreadPoolExecutor import time import torch +import pkg_resources +import yaml + +def load_yaml_config(file_name): + # Load the YAML file from the package + yaml_path = pkg_resources.resource_filename('app', file_name) + with open(yaml_path, 'r') as yaml_file: + return yaml.safe_load(yaml_file) def split_text_into_chunks(text, max_words=300): @@ -21,7 +29,6 @@ def 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"0.115.0" +sentence-transformers = "3.1.1" +torch = "2.4.1" +uvicorn = "0.31.0" +transformers = "*" +pyyaml = "6.0.2" +accelerate = "*" +psutil = "6.0.0" +optimum-intel = "*" +openvino = "*" +pandas = "*" +dateparser = "*" +openai = "1.50.2" +tf-keras = "*" +onnx = "*" + +[tool.poetry.scripts] +archgw_modelserver = "app:run_server" + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/model_server/requirements.txt b/model_server/requirements.txt index b0904be8..658f9e1f 100644 --- a/model_server/requirements.txt +++ b/model_server/requirements.txt @@ -1,19 +1,19 @@ #TOOD: pin versions -fastapi -sentence-transformers -torch -uvicorn -gliner +fastapi==0.115.0 +sentence-transformers==3.1.1 +torch==2.4.1 +uvicorn==0.31.0 transformers -pyyaml +pyyaml==6.0.2 accelerate +psutil==6.0.0 # guard inference packages optimum-intel openvino psutil pandas dateparser -openai +openai==1.50.2 pandas tf-keras onnx diff --git a/model_server/setup.py b/model_server/setup.py new file mode 100644 index 00000000..ec6d4fe7 --- /dev/null +++ b/model_server/setup.py @@ -0,0 +1,26 @@ +from setuptools import setup, find_packages + +# Function to read requirements.txt +def parse_requirements(filename): + with open(filename, 'r') as file: + return [line.strip() for line in file if line.strip() and not line.startswith("#")] + +# Call the parse_requirements function to get the list of dependencies +requirements = parse_requirements('requirements.txt') +print(f"packages to install: {find_packages()}") + +setup( + name="model_server", + version="0.1", + packages=find_packages(), + install_requires=requirements, + package_data={ + # Specify the package and the data files you want to include + 'app': ['/*.yaml'], # Includes all .yaml files in the config/ folder + }, + entry_points={ + 'console_scripts': [ + 'model_server=app:run_server', + ], + }, +)