Files
api_utils_converse_v2/playground/socketio/to_kafka.py
T

190 lines
6.7 KiB
Python

"""
AUTHOR:
Khushal P Soonderji
DATE:
Tuesday, 24th Dec. 2024
OBJECTIVE:
To get live updates from Zerodha and push them to Kafka.
REFERENCES:
N01. YouTube Webinar: https://www.youtube.com/watch?v=9vzd289Eedk
02. Official Example (GitHub): https://github.com/zerodha/pykiteconnect/blob/master/examples/threaded_ticker.py
DOWNLOADS:
N/A
"""
# *****************************************************************************************************************
# ***** ****
# *** IMPORT ***
# ***** ****
# *****************************************************************************************************************
# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")
# System-level activities:
import io
import os
# My utils:
from utils_v2.string import json
from utils_v2.queue.kafka import ProducerKafka, create_config
# To make HTTP calls:
import httpx
# To work with date and time:
import datetime
import time
# Models:
from models.finstitutions.trading.symbols import TradingSymbol
from models.finstitutions.trading.ticks import TradingTick
# To work with Zerodha's Kite platform:
from kiteconnect import KiteConnect, KiteTicker
# *****************************************************************************************************************
# ***** ****
# *** MACROS / ONE-TIME INIT ***
# ***** ****
# *****************************************************************************************************************
# --- Nothing Yet
# *****************************************************************************************************************
# ***** ****
# *** VARIABLES ***
# ***** ****
# *****************************************************************************************************************
# For Zerodha and related to ticks:
INSTRUMENT_TOKENS = []
INSTRUMENT_LOOKUP = {}
# For Kafka:
kafka_producer = ProducerKafka(
topic = "tickers",
config = create_config(
bootstrap_servers = "del.ditscentre.in:9092",
security_protocol = "SSL",
ca_file = r"../../creds/kafka/cert_authority.pem",
cert_file = r"../../creds/kafka/fullchain.pem",
key_file = r"../../creds/kafka/privkey.pem"
)
)
# *****************************************************************************************************************
# ***** ****
# *** FUNCTIONS ***
# ***** ****
# *****************************************************************************************************************
def to_kafka(tick: TradingTick) -> bool:
success = False
summary = tick.summary
success = kafka_producer.produce(value = summary)
return success
# ---------------------------------------------------------------------------------------------------------------------
def on_connect(ws, response):
print("\n\n")
print("ON CONNECT:")
print("Successfully connected. Response: {}".format(response))
ws.subscribe(INSTRUMENT_TOKENS)
ws.set_mode(ws.MODE_FULL, INSTRUMENT_TOKENS)
print(f"Subscribed to {len(INSTRUMENT_TOKENS):,} tokens in 'Full' mode.")
print("\n\n")
# ---------------------------------------------------------------------------------------------------------------------
def on_ticks(ws, ticks):
ticks = TradingTick.from_zerodha_kite(ticks = ticks, instrument_lookup = INSTRUMENT_LOOKUP)
results = [to_kafka(tick) for tick in ticks]
success = sum(results)
print(f"TICKS: {len(ticks): <4} | PRODUCED: {success: <4}{' | FAILURE(S)!' if success < len(results)else ''}")
# ---------------------------------------------------------------------------------------------------------------------
def main():
# Global vars:
global INSTRUMENT_TOKENS
global INSTRUMENT_LOOKUP
# Load Zerodha credentials:
creds = json.from_file(r"../../creds/zerodha/api.json")
api_key = creds["apiKey"]
access_token = creds["accessToken"]
# Create an instance of Zerodha's Kite connection:
kite = KiteConnect(api_key = api_key)
kite.set_access_token(access_token)
# Get a list of instruments to work with:
instruments = kite.instruments(exchange = "MCX")
instruments = instruments[:100]
instruments = [TradingSymbol.from_zerodha_kite(i) for i in instruments]
# Create the lookup:
for i in instruments:
INSTRUMENT_TOKENS.append(i.brokerToken)
INSTRUMENT_LOOKUP[i.brokerToken] = i.model_dump()
# Start the websocket with Zerodha:
kite_ws = KiteTicker(
api_key = api_key,
access_token = access_token
)
# Assign the callbacks:
kite_ws.on_connect = on_connect
kite_ws.on_ticks = on_ticks
# If you choose to go threaded, you will need to work purely with callbacks.
# You will need to have an infinite loop in the main thread.
kite_ws.connect(threaded = True)
# *****************************************************************************************************************
# ***** ****
# *** MAIN PROGRAM ***
# ***** ****
# *****************************************************************************************************************
if __name__ == "__main__":
main()
while True: time.sleep(3_600.00)