(20250125) More work done on Tick Strategies background task.
This commit is contained in:
@@ -0,0 +1,567 @@
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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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Friday, 24th Jan., 2025.
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OBJECTIVE:
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Live market ticks are broadcasted over Kafka. Here, we try to capture them and use them to run strategies.
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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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import pandas as pd
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sys.path.append(".")
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sys.path.append("..")
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# System-level activities:
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import io
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import os
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# My utils:
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from utils_v2.string import json
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from utils_v2.string import regex
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from utils_v2.system import files
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from utils_v2.date_time import date_time
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from utils_v2.database.async_mysql_v2 import AsyncMySQL
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from utils_v2.database.async_mongo_v2 import AsyncMongo
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from utils_v2.queue.kafka.controllers.async_kafka import ConsumerKafka, get_ssl_context
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from utils_v2.cache.async_redis_cache_v2 import AsyncRedisCache
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from utils_v2.serialization.json_serializer import JSONSerializer
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# To make HTTP calls:
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import httpx
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# To work with date and time:
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import datetime
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import time
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# Controllers:
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from controllers_v2.finstitutions.trading.all_trading import AllTradingController
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# Models:
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from models.core.auth_token import CoreAuthTokenModel
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from models.finstitutions.trading.symbols import TradingSymbol
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from models.finstitutions.trading.ticks import TradingTick
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from models.core.user import CoreUserInfoModel
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# To work with Zerodha's Kite platform:
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from kiteconnect import KiteConnect, KiteTicker
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# To work with SocketIO:
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import socket
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import socketio
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# For asynchronous activities:
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import asyncio
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# To work with various datatypes:
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from typing import List, Literal
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# For scheduling and cron:
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from scheduler.asyncio import Scheduler
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# For MongoDB:
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from bson.objectid import ObjectId
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# Debugging:
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from icecream import IceCreamDebugger
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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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# Debugging:
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printer = IceCreamDebugger(prefix = "Bhandari (s0) | ", includeContext = True)
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no_context_printer = IceCreamDebugger(prefix = "Bhandari (s0) | ", includeContext = False)
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# To make API calls:
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http_client = httpx.AsyncClient(
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limits = httpx.Limits(
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max_connections = 100, # ............ Maximum number of connections allowed in the pool.
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max_keepalive_connections = 50, # ... Maximum number of connections that can be kept alive.
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),
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timeout = httpx.Timeout(
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pool = 120.0, # .... Time to wait for a free connection from the pool.
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connect = 2.5, # ... Time to wait for establishing a connection to the server.
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write = 10.0, # .... Time to wait for sending data.
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read = 9.9 # ....... Time to wait for receiving data.
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)
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)
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# General:
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SERVER_HOSTNAME = str(socket.gethostname())
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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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# Redis:
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redis_cache: AsyncRedisCache | None = None
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# For database:
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sql_writer: AsyncMySQL | None = None
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sql_reader: AsyncMySQL | None = None
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data_mongo: AsyncMongo | None = None
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# For kafka:
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kafka_consumer: ConsumerKafka | None = None
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# Session-awareness and maintenance of this script's state:
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SCRIPT_DATA = {}
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STRATEGY_REFERENCE = {}
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strategy_reference_lock = asyncio.Semaphore(1)
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ticks_since_telegram = 0
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# For Zerodha-Kite:
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ZERODHA_INSTRUMENT_TOKENS = []
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ZERODHA_INSTRUMENT_LOOKUP = {}
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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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async def test_strategies(ticks: List[dict]):
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# declare the needed global variables:
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global ticks_since_telegram
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# Test needed strategies here:
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pass
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# Send out the alert if needed:
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ticks_since_telegram += len(ticks)
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ticks_threshold = 1_00_000
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if ticks_since_telegram > ticks_threshold:
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await send_telegram(message = f"*Strategies (0) Alert*\nProcessed {ticks_since_telegram:,} tick(s).")
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ticks_since_telegram = 0
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# ---------------------------------------------------------------------------------------------------------------------
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async def ticks_from_kafka(
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consumer: ConsumerKafka,
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fetch_count: int = 100,
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fetch_timeout: float = 1.0
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) -> None:
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"""
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This function must run in the background forever and just keep listening for ticks on Kafka and keep relaying them
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to all the connected clients as per their watchlists.
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:param consumer: The preconfigured Kafka consumer that can listen for ticks in asynchronous mode.
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:param fetch_count: How many messages to consume in one go.
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:param fetch_timeout: How long to wait (in seconds) while consuming messages from Kafka.
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:return: None
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"""
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printer("Starting Kafka consumer (ticks).")
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# Do the next part infinitely:
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while True:
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# Note the time:
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now_utc = date_time.get_current_utc_date_time().timestamp()
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# Get messages form Kafka:
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messages = await consumer.consume(
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count = fetch_count,
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timeout = fetch_timeout
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)
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# If there are no updates to give:
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if not messages: continue
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# We extract all the ticks from the Kafka messages:
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ticks = []
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for m in messages:
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if isinstance(m.value, list): ticks += m.value
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else: ticks.append(m.value)
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# Save the ticks:
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no_context_printer(len(ticks))
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await test_strategies(ticks)
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# ---------------------------------------------------------------------------------------------------------------------
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async def init(
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script_id: str,
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debug: bool
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):
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"""
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To initialize all credentials, instances, and connectivity for this whole script.
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:param script_id: The id to use to load cred and data from the internal service.
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:param debug: Whether, or not, you would like to print the debug messages.
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:return: True if initialized successfully, else False.
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"""
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# Declare the required global variables:
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global SCRIPT_DATA
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global sql_writer
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global sql_reader
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global kafka_consumer
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# Basic stuff:
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if debug: printer.enable()
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printer("Initializing.")
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# ┏┓ ┓ ┓ ┳┓
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# ┃ ┏┓┏┓┏┫ ┏┓┏┓┏┫ ┃┃┏┓╋┏┓
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# ┗┛┛ ┗ ┗┻ ┗┻┛┗┗┻ ┻┛┗┻┗┗┻
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# Get the script credentials:
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response = await 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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if response.status_code not in [200]:
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print("FATAL: SCRIPT CREDENTIALS LOADING FAILED!")
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return False
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script_cred = response.json().get("data")
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# Get the script data:
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response = await 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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if response.status_code not in [200]:
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print("FATAL: SCRIPT DATA LOADING FAILED!")
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return False
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SCRIPT_DATA = response.json().get("data")
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# Done with this step:
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printer("Cred and Data loaded.")
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# ┳┳┓ • ┳┓┳┓
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# ┃┃┃┏┓┏┓┓┏┓┃┃┣┫
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# ┛ ┗┗┻┛ ┗┗┻┻┛┻┛
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sql_writer = AsyncMySQL(
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pool_size = script_cred["mariaDb"]["write"]["poolSize"],
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host = script_cred["mariaDb"]["write"]["host"],
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user = script_cred["mariaDb"]["write"]["user"],
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password = script_cred["mariaDb"]["write"]["password"],
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database = script_cred["mariaDb"]["write"]["database"]
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)
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if not await sql_writer.connect():
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print("FATAL: MARIA-DB WRITER CONNECTION FAILED!")
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return False
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sql_reader = AsyncMySQL(
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pool_size = script_cred["mariaDb"]["read"]["poolSize"],
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host = script_cred["mariaDb"]["read"]["host"],
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user = script_cred["mariaDb"]["read"]["user"],
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password = script_cred["mariaDb"]["read"]["password"],
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# database = script_cred["mariaDb"]["read"]["database"]
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database = "caOffice"
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)
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if not await sql_reader.connect():
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print("FATAL: MARIA-DB READER CONNECTION FAILED!")
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return False
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printer("MariaDB connected.")
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# ┓┏┓ ┏┓ ┏┓┓•
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# ┃┫ ┏┓╋┃┏┏┓ ┃ ┃┓┏┓┏┓╋┏
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# ┛┗┛┗┻┛┛┗┗┻ ┗┛┗┗┗ ┛┗┗┛
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# Create the consumer that will listen to changes in watchlist:
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consumer_creds = script_cred["kafka"]["consumer"]
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kafka_consumer = ConsumerKafka(
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topic = consumer_creds["topic"],
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group_id = "tick_save",
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bootstrap_servers = consumer_creds["config"]["bootstrapServers"],
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security_protocol = consumer_creds["config"].get("securityProtocol", "PLAINTEXT"),
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ssl_context = get_ssl_context(
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ca_file = consumer_creds["config"].get("caFile"),
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cert_file = consumer_creds["config"].get("certFile"),
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key_file = consumer_creds["config"].get("keyFile"),
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),
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serializer = JSONSerializer(),
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debug = debug
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)
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if not await kafka_consumer.connect():
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print("FATAL: KAFKA CONSUMER NOT CREATED!")
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return False
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printer("Kafka consumer ready.")
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# ┳┓
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# ┃┃┏┓┏┓┏┓
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# ┻┛┗┛┛┗┗
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# If everything went well, we return with success:
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printer("Initialization done.")
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return True
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# ---------------------------------------------------------------------------------------------------------------------
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async def send_telegram(
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message: str,
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chat_id: str = None,
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message_type: Literal["info", "warning", "error"] = "info"
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):
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"""
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To send out alerts and heartbeats to inform about th script being alive.
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:param message: The text to send.
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:param chat_id: The destination chat identifier.
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:param message_type: The kind of message to send. Decides the presentation of the header.
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:return:
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"""
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try:
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# Create the JSON for sending to the API endpoint:
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json_input = {
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"chatClient": "telegram",
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"message": message,
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"type": message_type
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}
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if chat_id: json_input["chatId"] = json_input
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# Make the API call to send the ticks:
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response = await http_client.post(
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url = r"https://api.thecaoffice.com/converse/tech/alert/chat/backend",
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json = json_input
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)
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# Raise an exception if the call was not successful:
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response.raise_for_status()
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# If something goes wrong:
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except Exception as exception:
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printer(exception)
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# ---------------------------------------------------------------------------------------------------------------------
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async def refresh_strategy_reference() -> bool:
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# Declare the required global variables:
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global STRATEGY_REFERENCE
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no_context_printer("Refreshing strategy ref.")
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# Query the database:
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proc_name = "strategy_results"
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proc_args = (0, 184, 0)
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db_json, db_exception = await sql_reader.call_procedure_and_get_json(
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procedure_name = proc_name,
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procedure_args = proc_args,
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return_exception = True,
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retry_count = 3,
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backoff_seconds = 0.5,
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backoff_multiplier = 1.1
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)
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# If the database call fails:
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if db_json["status"] != 1 or db_exception:
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await send_telegram(
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message = (
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"*Strategies (0) SQL Procedure Failure*\n\n"
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f"Procedure Name: `{proc_name}`\n\n"
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f"Procedure Args: `{proc_args}`\n\n"
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f"Message: `{db_json['message']}`\n\n"
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f"Exception: `{db_exception}`\n\n"
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),
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message_type = "error"
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)
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return False
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# Construct the reference structure:
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formatted_reference = {}
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for i in db_json["data"]["rs0"]:
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key_items = [i["exchange"], i["segment"], i["exchange_code"]]
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if i["expiry_date"]: key_items.append(str(i["expiry_date"]))
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if i["right"]:
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key_items.append(str(i["right"]))
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key_items.append(str(i["strike"]))
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formatted_reference["_".join(key_items)] = {
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"stratName": i["name"], # ................ As inserted by the user.
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"watchlistId": i["watch_list_id"], # ..... A unique id in case 2 users come up with the same name.
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"entry": i["entry"].upper().strip(), # ... BUY/SELL.
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"rate": i["entry_rate"], # ............... The price at which to enter the trade.
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"t": i["target1"], # ..................... The 1st target.
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"sl": i["stop_loss"] # ................... The stop loss value.
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}
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# Save the new reference in the global variable:
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async with strategy_reference_lock:
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STRATEGY_REFERENCE = formatted_reference
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# Done here:
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return True
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# ---------------------------------------------------------------------------------------------------------------------
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async def heartbeat(interval_seconds: float = 300) -> None:
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"""
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Just to let the admins know that the system is up and running.
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:param interval_seconds: The amount of time after which the heartbeat must be sent.
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:return: None.
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"""
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while True:
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await send_telegram(message = f"*Strategies (0) Heartbeat*\nInterval: `{interval_seconds:,} seconds`")
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await asyncio.sleep(interval_seconds)
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# ---------------------------------------------------------------------------------------------------------------------
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async def main(
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start_time: datetime.datetime,
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end_time: datetime.datetime,
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proc_interval: int,
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heartbeat_interval: int = 1_800,
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debug: bool = False
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):
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# Start configuring the scheduler:
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printer("Configuring the schedule-manager.")
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schedule_manager = Scheduler()
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# Create all the timestamps at which the job must be done:
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all_job_ts = []
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offset_seconds = 0
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while True:
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ts = start_time + datetime.timedelta(seconds = offset_seconds)
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if ts > end_time: break
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all_job_ts.append(ts.time())
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offset_seconds += proc_interval
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# Add the jobs:
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for ts in all_job_ts: schedule_manager.daily(ts, refresh_strategy_reference)
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printer(len(all_job_ts))
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# Run the heartbeat task and the infinite tick-reading loop:
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tasks = [
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ticks_from_kafka(
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consumer = kafka_consumer,
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fetch_count = 500,
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fetch_timeout = 2.5
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),
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heartbeat(interval_seconds = heartbeat_interval)
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]
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await asyncio.gather(*tasks)
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||||
|
||||
|
||||
# *****************************************************************************************************************
|
||||
# ***** ****
|
||||
# *** MAIN PROGRAM ***
|
||||
# ***** ****
|
||||
# *****************************************************************************************************************
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
printer("Main.")
|
||||
|
||||
# To get args from the terminal:
|
||||
import argparse
|
||||
|
||||
# Get the config from the command-line:
|
||||
parser = argparse.ArgumentParser(description = f"To implement trading strategies (0) for Mr. M. Bhandari.")
|
||||
parser.add_argument(
|
||||
"-s", "--script-id",
|
||||
type = str,
|
||||
help = "The id of this script (will affect the loaded config)."
|
||||
)
|
||||
parser.add_argument(
|
||||
"--start-time",
|
||||
type = str,
|
||||
help = "The 24-hr time of the day (in 'HH:MM:SS' format) from which the data can be refreshed."
|
||||
)
|
||||
parser.add_argument(
|
||||
"--end-time",
|
||||
type = str,
|
||||
help = "The 24-hr time of the day (in 'HH:MM:SS' format) till which the data must be refreshed."
|
||||
)
|
||||
parser.add_argument(
|
||||
"--proc-interval",
|
||||
type = int,
|
||||
help = "The no. of seconds after which you would like to refresh the data available from the stored procedure.",
|
||||
default = 300
|
||||
)
|
||||
parser.add_argument(
|
||||
"--heartbeat-interval",
|
||||
type = int,
|
||||
help = "The no. of seconds after which you would like to send out a heartbeat to the admins.",
|
||||
default = 1_800
|
||||
)
|
||||
parser.add_argument(
|
||||
"-d", "--debug",
|
||||
action = "store_true",
|
||||
help = "Whether, or not, you want to see debugging messages in the terminal.",
|
||||
default = False
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
async def runner():
|
||||
|
||||
# Startup message:
|
||||
printer.enable()
|
||||
printer(str(args.debug))
|
||||
printer.disable()
|
||||
|
||||
# Parse the inputs:
|
||||
start_time = datetime.datetime.strptime(args.start_time, "%H:%M:%S")
|
||||
end_time = datetime.datetime.strptime(args.end_time, "%H:%M:%S")
|
||||
|
||||
# Initialize and then run the script:
|
||||
if await init(
|
||||
script_id = args.script_id,
|
||||
debug = args.debug
|
||||
): await main(
|
||||
start_time = start_time,
|
||||
end_time = end_time,
|
||||
proc_interval = args.proc_interval,
|
||||
heartbeat_interval = args.heartbeat_interval,
|
||||
debug = args.debug
|
||||
)
|
||||
|
||||
asyncio.run(runner())
|
||||
Reference in New Issue
Block a user