(20241008) logging decorator and model improved.
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"""
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AUTHOR:
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Khushal P Soonderji
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DATE:
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Wednesday, 28th Aug., 2024
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OBJECTIVE:
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This is the central location for the Quart module.
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We define the app here, and import and attach all blueprints here.
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REFERENCES:
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N/A
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DOWNLOADS:
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N/A
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"""
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# *****************************************************************************************************************
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# ***** ****
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# *** IMPORT ***
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# ***** ****
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# *****************************************************************************************************************
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# To make sibling directories accessible for imports:
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import sys
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sys.path.append(".")
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sys.path.append("..")
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# For system level activities:
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import gc
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import os
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# For using Quart:
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from quart import Quart, request, current_app
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from quart_cors import cors
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# To make REST-API calls:
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import httpx
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# My utils:
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from utils_v2.string import json
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from utils_v2.api import async_quart
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from utils_v2.database.async_mongo_v2 import AsyncMongo
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from utils_v2.api.async_quart import (
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read_input,
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log_request_to_mongo,
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should_not_be_under_maintenance,
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only_whitelisted_ips,
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limit_rate,
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validate_input
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)
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# For debugging:
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from icecream import IceCreamDebugger
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# Other blueprints:
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from api.llm.chat_completion import llm_chat_bp
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# LangChain-related:
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.messages import HumanMessage, AIMessage, SystemMessage
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from langchain_openai import ChatOpenAI
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# *****************************************************************************************************************
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# ***** ****
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# *** MACROS / ONE-TIME INIT ***
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# ***** ****
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# *****************************************************************************************************************
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# Quart related:
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MODULE_BASE = "ai"
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APP_VERSION = "1.0.0"
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# *****************************************************************************************************************
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# ***** ****
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# *** VARIABLES ***
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# ***** ****
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# *****************************************************************************************************************
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# The Quart app:
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app = Quart(__name__)
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app = cors(app)
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app.register_blueprint(llm_chat_bp, url_prefix = f"/{MODULE_BASE}/llm")
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# *****************************************************************************************************************
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# ***** ****
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# *** FUNCTIONS ***
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# ***** ****
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# *****************************************************************************************************************
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@app.before_serving
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@log_request_to_mongo(
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attr_name = "mongo",
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log_type = MODULE_BASE,
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operation = "apiStart",
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api_version = APP_VERSION,
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log_input = True,
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log_output = True
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)
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async def app_startup():
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"""
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To initialize the variables that you would like to use in this module.
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WARNING: ALL VARIABLES WILL BE INITIALIZED 'n' NUMBER OF TIMES, WHERE 'n' IS THE COUNT OF WORKERS DEPLOYED.
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SO, IF YOU WANT TO CONNECT TO A DATABASE AND YOU ALLOW A POOL-SIZE OF 10 AND IF YOU DEPLOY 4 WORKERS, YOU WILL END
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UP WITH 40 CONNECTIONS TO THE DATABASE.
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:return: None.
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"""
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# Safe-halt mechanism for upgrades (for a single-worker run):
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current_app.is_under_maintenance = False
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# Debugging:
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current_app.printer = IceCreamDebugger(prefix = f"{MODULE_BASE} (Q) | ", includeContext = True)
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if os.environ["DEBUG"] == "True": current_app.printer.disable()
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# To make API calls:
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max_connections = 5
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limits = httpx.Limits(
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max_keepalive_connections = max_connections,
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max_connections = max_connections,
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keepalive_expiry = 3600
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)
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current_app.http_client = httpx.AsyncClient(limits = limits)
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# Get the credentials and data for this script:
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script_id = os.environ.get("SCRIPT_ID")
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response = await current_app.http_client.get(
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url = r"https://nexcom.ditscentre.in/internal/cred/get",
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headers = {"X-Script-Id": script_id}
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)
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script_cred = response.json().get("data")
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response = await current_app.http_client.get(
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url = r"https://nexcom.ditscentre.in/internal/data/get",
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headers = {"X-Script-Id": script_id}
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)
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current_app.script_data = response.json().get("data")
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# To connect to Mongo:
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current_app.mongo = AsyncMongo(
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connection_string = script_cred["mongoDb"]["dataDb"]["connectionString"],
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database_name = script_cred["mongoDb"]["dataDb"]["dbName"],
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max_connections = script_cred["mongoDb"]["dataDb"]["poolSize"],
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debug = True if os.environ["DEBUG"] == "True" else False
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)
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# Remove unwanted/sensitive variables from RAM:
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del script_cred
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gc.collect()
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# ---------------------------------------------------------------------------------------------------------------------
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@app.after_serving
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@log_request_to_mongo(
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attr_name = "mongo",
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log_type = MODULE_BASE,
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operation = "apiStop",
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api_version = APP_VERSION,
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log_input = True,
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log_output = True
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)
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async def app_shutdown():
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"""
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This is called when "app.shutdown()" is called.
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:return: None.
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"""
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message = "Shutting down..."
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current_app.printer(message)
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# ---------------------------------------------------------------------------------------------------------------------
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@app.route(f"/", methods = ["GET", "POST"])
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@app.route(f"/{MODULE_BASE}", methods = ["GET", "POST"])
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async def root():
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"""
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To check if the service is running or not.
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Use this to monitor the service from your "watchman" script.
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:return: only "ok"
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"""
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return "ok"
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# ---------------------------------------------------------------------------------------------------------------------
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@app.route(f"/{MODULE_BASE}/debug/<action>", methods = ["POST", "GET"])
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async def change_debug(action):
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"""
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Enable or disable debugging for the entire microservice.
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WARNING: NOT RECOMMENDED FOR MULTI-WORKER DEPLOYMENTS.
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:param action: "enable" to allow debugging on the terminal, or "disable".
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:return: "enabled"/"disabled" if successful, else "ok"
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"""
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# Enable or disable debugging only if the password matches:
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action = action.lower()
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if action == "enable": current_app.printer.enable()
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elif action == "disable": current_app.printer.disable()
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return "ok"
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# ---------------------------------------------------------------------------------------------------------------------
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@app.route(f"/{MODULE_BASE}/maintenance/<action>", methods = ["POST", "GET"])
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async def change_maintenance(action):
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"""
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Enable or disable debugging for the entire microservice.
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WARNING: NOT RECOMMENDED FOR MULTI-WORKER DEPLOYMENTS.
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:param action: "enable" to stop taking new requests on the API, or "disable".
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:return: "enabled"/"disabled" if successful, else "ok"
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"""
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# Enable or disable debugging only if the password matches:
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action = action.lower()
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if action == "enable": current_app.is_under_maintenance = True
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elif action == "disable": current_app.is_under_maintenance = False
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return "ok"
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# *****************************************************************************************************************
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# ***** ****
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# *** MAIN PROGRAM ***
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# ***** ****
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# *****************************************************************************************************************
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if __name__ == "__main__":
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# To get args from the terminal:
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import argparse
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# To run the ASGI:
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import uvicorn
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from multiprocessing import freeze_support
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# Get the config from the command-line:
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parser = argparse.ArgumentParser(description = f"Microservice for '{MODULE_BASE}' API.")
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parser.add_argument(
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"--workers",
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type = int,
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help = "The no. of threads to spin up for this instance!",
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default = 2
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)
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parser.add_argument(
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"--host",
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type = str,
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help = "The host for the app. e.g.: '0.0.0.0' or '127.0.0.1'.",
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default = "127.0.0.1"
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)
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parser.add_argument(
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"--script-id",
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type = str,
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help = "The id of this script (will affect the loaded config)."
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)
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parser.add_argument(
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"--debug",
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action = "store_true",
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help = "Whether, or not, you want to see debugging messages in the terminal.",
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default = False
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)
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args = parser.parse_args()
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# Note down the config;
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os.environ["SCRIPT_ID"] = args.script_id
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os.environ["DEBUG"] = str(args.debug)
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# Run the gateway:
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freeze_support()
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uvicorn.run(
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app = "main:app",
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workers = args.workers,
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host = args.host,
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port = 8080
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)
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