feat(models): load models from JSON configuration

- load models from JSON configuration
- resolve security issue
- update dependencies
- optimize imports in graph.py and monitor.py

models.json.example

@@ -0,0 +1,4 @@
+{
+    "Example-Model-22B-FP8-dynamic": "http://112.83.15.44:8883",
+    "Mistral-7B-bf16": "http://57.214.142.199:8090"
+}

requirements.txt

@@ -1,7 +1,9 @@
-numpy~=2.1.1
+numpy~=1.26.4
 uvicorn~=0.30.6
 requests~=2.32.3
 pandas~=2.2.3
 plotly~=5.24.1
 flask~=3.0.3
-zstd~=1.5.5.1
+scipy~=1.13.1
+asgiref~=3.8.1
+setuptools~=74.1.3

setup.py

@@ -1,12 +1,12 @@
 from setuptools import setup
 
 setup(
-    name='vAnalytics',
-    version='v1.0.0',
-    packages=[''],
-    url='https://github.com/leafspark/vAnalytics',
-    license='apache-2.0',
-    author='leafspark',
-    author_email='',
-    description='time series analytics for vLLM'
+    name="vAnalytics",
+    version="v1.0.0",
+    packages=[""],
+    url="https://github.com/leafspark/vAnalytics",
+    license="apache-2.0",
+    author="leafspark",
+    author_email="",
+    description="time series analytics for vLLM",
 )

src/graph.py

@@ -1,22 +1,18 @@
 import asyncio
 import json
 import logging
-import numpy as np
 import os
-import pandas as pd
-import plotly.graph_objects as go
-import plotly.offline as pyo
 import sqlite3
 import subprocess
 import threading
 import time
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from datetime import datetime, timedelta
+
+import plotly.graph_objects as go
+import plotly.offline as pyo
 from flask import Flask, render_template, request, send_file
-from functools import lru_cache
 from plotly.subplots import make_subplots
-from plotly.subplots import make_subplots
-from scipy.interpolate import make_interp_spline
 
 # Set up logging with a higher level
 logging.basicConfig(
@@ -259,7 +255,7 @@ def index():
 
     plot_div = None
     error_message = None
-    if selected_model:
+    if selected_model in valid_model_names:
         try:
             fig = create_plots(selected_model)
             if fig is not None:
@@ -273,22 +269,16 @@ def index():
                 "An error occurred while creating the plot. Please try again later."
             )
 
-        if selected_model in valid_model_names:
-            command = [
-                "python",
-                "get_data.py",
-                "--hours",
-                "24",
-                f".\\data\\{selected_model}.sqlite",
-            ]
-            result = subprocess.run(command, capture_output=True, text=True)
-        else:
-            logging.error(f"Invalid model selected: {selected_model}")
-            error_message = "Invalid model selected. Please choose a valid model."
-            result = None
-
+        command = [
+            "python",
+            "get_data.py",
+            "--hours",
+            "24",
+            f".\\data\\{selected_model}.sqlite",
+        ]
         result = subprocess.run(command, capture_output=True, text=True)
     else:
+        logging.error(f"Invalid model selected: {selected_model}")
         result = None
 
     return render_template(

src/monitor.py

@@ -4,11 +4,8 @@ import os
 import json
 from datetime import datetime
 import logging
-import zstd
 import sqlite3
 
-print("Starting monitor.")
-
 # Set up basic configuration for logging
 logging.basicConfig(
     level=logging.DEBUG,
@@ -16,15 +13,12 @@ logging.basicConfig(
     filename="monitor.log",  # Log to a file named monitor.log
     filemode="a",
 )  # Append to the log file
-logging.basicConfig(
-    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
-)
 
-# Model information
-models = {
-    "Example-Model-22B-FP8-dynamic": "http://112.83.15.44:8883",
-    "Mistral-7B-bf16": "http://57.214.142.199:8090",
-}
+print("Starting monitor.")
+
+# Load model info
+with open("models.json", "r") as file:
+    models = json.load(file)
 
 
 def call_metrics_endpoint(model_name, base_url):