#!/usr/bin/env python3 from pyth_utils import * from http.server import HTTPServer, BaseHTTPRequestHandler from concurrent.futures import ThreadPoolExecutor, as_completed import json import os import random import sys import threading import time PYTH_TEST_SYMBOL_COUNT = int(os.environ.get("PYTH_TEST_SYMBOL_COUNT", "9")) class PythAccEndpoint(BaseHTTPRequestHandler): """ A dumb endpoint to respond with a JSON containing Pyth symbol and mapping addresses """ def do_GET(self): print(f"Got path {self.path}") sys.stdout.flush() data = json.dumps(HTTP_ENDPOINT_DATA).encode("utf-8") print(f"Sending:\n{data}") self.send_response(200) self.send_header("Content-Type", "application/json") self.send_header("Content-Length", str(len(data))) self.end_headers() self.wfile.write(data) self.wfile.flush() # Test publisher state that gets served via the HTTP endpoint. Note: the schema of this dict is extended here and there HTTP_ENDPOINT_DATA = {"symbols": [], "mapping_address": None} def publisher_random_update(price_pubkey): """ Update the specified price with random values """ value = random.randrange(1000, 2000) confidence = random.randrange(1, 10) pyth_run_or_die("upd_price_val", args=[ price_pubkey, str(value), str(confidence), "trading" ]) print(f"Price {price_pubkey} value updated to {str(value)}!") def accounts_endpoint(): """ Run a barebones HTTP server to share the dynamic Pyth mapping/product/price account addresses """ server_address = ('', 4242) httpd = HTTPServer(server_address, PythAccEndpoint) httpd.serve_forever() def add_symbol(num: int): symbol_name = f"Test symbol {num}" # Add a product prod_pubkey = pyth_admin_run_or_die( "add_product", capture_output=True).stdout.strip() print(f"{symbol_name}: Added product {prod_pubkey}") # Add a price price_pubkey = pyth_admin_run_or_die( "add_price", args=[prod_pubkey, "price"], capture_output=True ).stdout.strip() print(f"{symbol_name}: Added price {price_pubkey}") # Become a publisher for the new price pyth_admin_run_or_die( "add_publisher", args=[publisher_pubkey, price_pubkey], debug=True, capture_output=True) print(f"{symbol_name}: Added publisher {publisher_pubkey}") # Update the prices as the newly added publisher publisher_random_update(price_pubkey) sym = { "name": symbol_name, "product": prod_pubkey, "price": price_pubkey } HTTP_ENDPOINT_DATA["symbols"].append(sym) sys.stdout.flush() return num # Fund the publisher sol_run_or_die("airdrop", [ str(SOL_AIRDROP_AMT), "--keypair", PYTH_PUBLISHER_KEYPAIR, "--commitment", "finalized", ]) # Create a mapping pyth_admin_run_or_die("init_mapping", capture_output=True) mapping_addr = sol_run_or_die("address", args=[ "--keypair", PYTH_MAPPING_KEYPAIR ], capture_output=True).stdout.strip() HTTP_ENDPOINT_DATA["mapping_addr"] = mapping_addr print(f"New mapping at {mapping_addr}") print(f"Creating {PYTH_TEST_SYMBOL_COUNT} test Pyth symbols") publisher_pubkey = sol_run_or_die("address", args=[ "--keypair", PYTH_PUBLISHER_KEYPAIR ], capture_output=True).stdout.strip() with ThreadPoolExecutor(max_workers=10) as executor: add_symbol_futures = {executor.submit(add_symbol, sym_id) for sym_id in range(PYTH_TEST_SYMBOL_COUNT)} for future in as_completed(add_symbol_futures): print(f"Completed {future.result()}") print( f"Mock updates ready to roll. Updating every {str(PYTH_PUBLISHER_INTERVAL)} seconds") # Spin off the readiness probe endpoint into a separate thread readiness_thread = threading.Thread(target=readiness, daemon=True) # Start an HTTP endpoint for looking up test product/price addresses http_service = threading.Thread(target=accounts_endpoint, daemon=True) readiness_thread.start() http_service.start() while True: for sym in HTTP_ENDPOINT_DATA["symbols"]: publisher_random_update(sym["price"]) time.sleep(PYTH_PUBLISHER_INTERVAL) sys.stdout.flush() readiness_thread.join() http_service.join()