mirror of
https://github.com/RoboSats/robosats.git
synced 2024-12-14 03:16:24 +00:00
500 lines
16 KiB
Python
500 lines
16 KiB
Python
import json
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import logging
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import re
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import gnupg
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import numpy as np
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import requests
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import ring
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from base91 import decode, encode
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from decouple import config
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from api.models import Order
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logger = logging.getLogger("api.utils")
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TOR_PROXY = config("TOR_PROXY", default="127.0.0.1:9050")
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USE_TOR = config("USE_TOR", cast=bool, default=True)
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LNVENDOR = config("LNVENDOR", cast=str, default="LND")
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def get_session():
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session = requests.session()
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# Tor uses the 9050 port as the default socks port
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if USE_TOR:
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session.proxies = {
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"http": "socks5://" + TOR_PROXY,
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"https": "socks5://" + TOR_PROXY,
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}
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return session
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def bitcoind_rpc(method, params=None):
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"""
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Makes a RPC call to bitcoin core daemon
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:param method: RPC method to call
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:param params: list of params required by the calling RPC method
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:return:
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"""
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BITCOIND_RPCURL = config("BITCOIND_RPCURL")
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BITCOIND_RPCUSER = config("BITCOIND_RPCUSER")
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BITCOIND_RPCPASSWORD = config("BITCOIND_RPCPASSWORD")
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if params is None:
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params = []
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payload = json.dumps(
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{"jsonrpc": "2.0", "id": "robosats", "method": method, "params": params}
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)
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return requests.post(
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BITCOIND_RPCURL, auth=(BITCOIND_RPCUSER, BITCOIND_RPCPASSWORD), data=payload
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).json()["result"]
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def validate_onchain_address(address):
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"""
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Validates an onchain address
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"""
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try:
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validation = bitcoind_rpc("validateaddress", [address])
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if not validation["isvalid"]:
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return False, {"bad_address": "Invalid address"}
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except Exception as e:
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logger.error(e)
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return False, {
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"bad_address": "Unable to validate address, check bitcoind backend"
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}
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return True, None
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mining_fee = {}
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@ring.dict(mining_fee, expire=60) # keeps in cache for 60 seconds
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def get_minning_fee(priority: str, preliminary_amount: int) -> int:
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"""
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priority: (str) 'suggested' | 'minimum'
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Fetches suggested and minimum mining fee rates from mempool.space
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uses LND/CLN fee estimator as fallback.
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mempool.space response object:
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{
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fastestFee: 1,
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halfHourFee: 1,
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hourFee: 1,
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economyFee: 1,
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minimumFee: 1
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}
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Where 'suggested' is 'fastestFee' and 'minimum' is 'economyFee'
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"""
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from api.lightning.node import LNNode
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session = get_session()
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mempool_url = (
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"http://mempoolhqx4isw62xs7abwphsq7ldayuidyx2v2oethdhhj6mlo2r6ad.onion"
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if USE_TOR
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else "https://mempool.space"
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)
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api_path = "/api/v1/fees/recommended"
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try:
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response = session.get(mempool_url + api_path)
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response.raise_for_status() # Raises stored HTTPError, if one occurred
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data = response.json()
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if priority == "suggested":
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value = data.get("fastestFee")
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elif priority == "minimum":
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value = data.get("economyFee")
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else:
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raise Exception(
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"an error occurred",
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"unexpected value for mining fee priority",
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priority,
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)
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except Exception:
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# Fetch mining fee from LND/CLN instance
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if priority == "suggested":
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target_conf = config("SUGGESTED_TARGET_CONF", cast=int, default=2)
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if priority == "minimum":
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target_conf = config("MINIMUM_TARGET_CONF", cast=int, default=24)
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value = LNNode.estimate_fee(
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amount_sats=preliminary_amount,
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target_conf=target_conf,
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)["mining_fee_rate"]
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return value
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devfund_pubkey = {}
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@ring.dict(devfund_pubkey, expire=3600) # keeps in cache for 3600 seconds
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def get_devfund_pubkey(network: str) -> str:
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"""
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network: (str) "mainnet" | "testnet";
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Fetches devfund pubkey from `main` branch in the repository
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fallback to hardcoded pubkey
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"""
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session = get_session()
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url = "https://raw.githubusercontent.com/RoboSats/robosats/main/devfund_pubkey.json"
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# hardcoded fallback
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mainnet = "02187352cc4b1856b9604e0a79e1bc9b301be7e0c14acbbb8c29f7051d507127d7"
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testnet = "03ecb271b3e2e36f2b91c92c65bab665e5165f8cdfdada1b5f46cfdd3248c87fd6"
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try:
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response = session.get(url)
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response.raise_for_status() # Raises stored HTTPError, if one occurred
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value = response.json().get(network)
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if len(value) == 66:
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return value
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except Exception as e:
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print(e)
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return mainnet if network == "mainnet" else testnet
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market_cache = {}
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@ring.dict(market_cache, expire=30) # keeps in cache for 30 seconds
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def get_exchange_rates(currencies):
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"""
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Params: list of currency codes.
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Checks for exchange rates in several public APIs.
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Returns the median price list.
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"""
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session = get_session()
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APIS = config("MARKET_PRICE_APIS", cast=lambda v: [s.strip() for s in v.split(",")])
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api_rates = []
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for api_url in APIS:
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try: # If one API is unavailable pass
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if "blockchain.info" in api_url:
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blockchain_prices = session.get(api_url).json()
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blockchain_rates = []
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for currency in currencies:
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# Do not include ARS from Blockchain.info . This pricing is estimated wrongly.
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if currency == "ARS":
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blockchain_rates.append(np.nan)
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else:
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try: # If a currency is missing place a None
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blockchain_rates.append(
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float(blockchain_prices[currency]["last"])
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)
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except Exception:
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blockchain_rates.append(np.nan)
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api_rates.append(blockchain_rates)
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elif "yadio.io" in api_url:
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yadio_prices = session.get(api_url).json()
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yadio_rates = []
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for currency in currencies:
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try:
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yadio_rates.append(float(yadio_prices["BTC"][currency]))
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except Exception:
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yadio_rates.append(np.nan)
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api_rates.append(yadio_rates)
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# Tor proxied requests to bitpay.com will fail. Skip if USE_TOR is enabled.
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elif "bitpay.com" in api_url and not USE_TOR:
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headers = {
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"X-Accept-Version": "2.0.0",
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"Content-type": "application/json",
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}
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bitpay_prices = session.get(api_url, headers=headers).json()
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bitpay_prices = {
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item["code"]: item["rate"] for item in bitpay_prices["data"]
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}
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bitpay_rates = []
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for currency in currencies:
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try:
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bitpay_rates.append(float(bitpay_prices[currency]))
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except Exception:
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bitpay_rates.append(np.nan)
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api_rates.append(bitpay_rates)
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# Tor proxied requests to criptoya.com will fail. Skip if USE_TOR is enabled.
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elif "criptoya.com" in api_url and not USE_TOR:
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criptoya_supported_currencies = [
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"ARS",
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"COP",
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"MXN",
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"BRL",
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"PEN",
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"CLP",
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"USD",
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"VES",
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]
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criptoya_rates = []
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for currency in currencies:
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if currency in criptoya_supported_currencies:
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criptoya_exchanges = session.get(f"{api_url}/{currency}").json()
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exchange_medians = [
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np.median([exchange["ask"], exchange["ask"]])
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for exchange in criptoya_exchanges.values()
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if exchange["ask"] > 0 and exchange["bid"] > 0
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]
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criptoya_rates.append(round(np.median(exchange_medians), 2))
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else:
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criptoya_rates.append(np.nan)
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api_rates.append(criptoya_rates)
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except Exception as e:
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print(f"Could not fetch BTC prices from {api_url}: {str(e)}")
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pass
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if len(api_rates) == 0:
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return None # Wops there is not API available!
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exchange_rates = np.array(api_rates)
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median_rates = np.nanmedian(exchange_rates, axis=0)
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return median_rates.tolist()
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lnd_version_cache = {}
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@ring.dict(lnd_version_cache, expire=3600)
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def get_lnd_version():
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if LNVENDOR == "LND":
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try:
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from api.lightning.lnd import LNDNode
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return LNDNode.get_version()
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except Exception:
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return "Not installed"
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else:
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return "Not installed"
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cln_version_cache = {}
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@ring.dict(cln_version_cache, expire=3600)
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def get_cln_version():
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if LNVENDOR == "CLN":
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try:
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from api.lightning.cln import CLNNode
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return CLNNode.get_version()
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except Exception:
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return "Not installed"
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else:
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return "Not installed"
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robosats_commit_cache = {}
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@ring.dict(robosats_commit_cache, expire=99999)
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def get_robosats_commit():
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# .git folder is included in .dockerignore. The build workflow will drop the commit_sha file in root
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with open("commit_sha") as f:
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commit_hash = f.read()
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return commit_hash
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premium_percentile = {}
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@ring.dict(premium_percentile, expire=300)
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def compute_premium_percentile(order):
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queryset = Order.objects.filter(
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currency=order.currency, status=Order.Status.PUB, type=order.type
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).exclude(id=order.id)
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if len(queryset) <= 1:
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return 0.5
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amount = order.amount if not order.has_range else order.max_amount
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order_rate = float(order.last_satoshis) / float(amount)
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rates = []
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for similar_order in queryset:
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similar_order_amount = (
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similar_order.amount
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if not similar_order.has_range
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else similar_order.max_amount
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)
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rates.append(float(similar_order.last_satoshis) / float(similar_order_amount))
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rates = np.array(rates)
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return round(np.sum(rates < order_rate) / len(rates), 2)
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def weighted_median(values, sample_weight=None, quantiles=0.5, values_sorted=False):
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"""Very close to numpy.percentile, but it supports weights.
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NOTE: quantiles should be in [0, 1]!
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:param values: numpy.array with data
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:param quantiles: array-like with many quantiles needed. For weighted median 0.5
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:param sample_weight: array-like of the same length as `array`
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:param values_sorted: bool, if True, then will avoid sorting of
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initial array assuming array is already sorted
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:return: numpy.array with computed quantiles.
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"""
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values = np.array(values)
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quantiles = np.array(quantiles)
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if sample_weight is None:
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sample_weight = np.ones(len(values))
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sample_weight = np.array(sample_weight)
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assert np.all(quantiles >= 0) and np.all(
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quantiles <= 1
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), "quantiles should be in [0, 1]"
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if not values_sorted:
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sorter = np.argsort(values)
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values = values[sorter]
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sample_weight = sample_weight[sorter]
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weighted_quantiles = np.cumsum(sample_weight) - 0.5 * sample_weight
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weighted_quantiles -= weighted_quantiles[0]
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weighted_quantiles /= weighted_quantiles[-1]
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return np.interp(quantiles, weighted_quantiles, values)
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def compute_avg_premium(queryset):
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premiums = []
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volumes = []
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# We exclude BTC, as LN <-> BTC swap premiums should not be mixed with FIAT.
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for tick in queryset.exclude(currency=1000):
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premiums.append(float(tick.premium))
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volumes.append(float(tick.volume))
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total_volume = sum(volumes)
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# weighted_median_premium is the weighted median of the premiums by volume
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if len(premiums) > 0 and len(volumes) > 0:
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weighted_median_premium = weighted_median(
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values=premiums, sample_weight=volumes, quantiles=0.5, values_sorted=False
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)
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else:
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weighted_median_premium = 0.0
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return weighted_median_premium, total_volume
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def validate_pgp_keys(pub_key, enc_priv_key):
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"""Validates PGP valid keys. Formats them in a way understandable by the frontend"""
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gpg = gnupg.GPG()
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# Standardize format with linux linebreaks '\n'. Windows users submitting their own keys have '\r\n' breaking communication.
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enc_priv_key = enc_priv_key.replace("\r\n", "\n").replace("\\", "\n")
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pub_key = pub_key.replace("\r\n", "\n").replace("\\", "\n")
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# Try to import the public key
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import_pub_result = gpg.import_keys(pub_key)
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if not import_pub_result.imported == 1:
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# If a robot is deleted and it is rebuilt with the same pubKey, the key will not be imported again
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# so we assert that the import error is "Not actually changed"
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if "Not actually changed" not in import_pub_result.results[0]["text"]:
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return (
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False,
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{
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"bad_request": "Your PGP public key does not seem valid.\n"
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+ f"Stderr: {str(import_pub_result.stderr)}\n"
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+ f"ReturnCode: {str(import_pub_result.returncode)}\n"
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+ f"Summary: {str(import_pub_result.summary)}\n"
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+ f"Results: {str(import_pub_result.results)}\n"
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+ f"Imported: {str(import_pub_result.imported)}\n"
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},
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None,
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None,
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)
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# Exports the public key again for uniform formatting.
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pub_key = gpg.export_keys(import_pub_result.fingerprints[0])
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# Try to import the encrypted private key (without passphrase)
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import_priv_result = gpg.import_keys(enc_priv_key)
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if not import_priv_result.sec_imported == 1:
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if "Not actually changed" not in import_priv_result.results[0]["text"]:
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return (
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False,
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{
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"bad_request": "Your PGP encrypted private key does not seem valid.\n"
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+ f"Stderr: {str(import_priv_result.stderr)}\n"
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+ f"ReturnCode: {str(import_priv_result.returncode)}\n"
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+ f"Summary: {str(import_priv_result.summary)}\n"
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+ f"Results: {str(import_priv_result.results)}\n"
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+ f"Sec Imported: {str(import_priv_result.sec_imported)}\n"
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},
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None,
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None,
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)
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return True, None, pub_key, enc_priv_key
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def verify_signed_message(pub_key, signed_message):
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"""
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Verifies a signed cleartext PGP message. Returns whether the signature
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is valid (was made by the given pub_key) and the content of the message.
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"""
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gpg = gnupg.GPG()
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# import the public key
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import_result = gpg.import_keys(pub_key)
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# verify the signed message
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verified = gpg.verify(signed_message)
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if verified.fingerprint == import_result.fingerprints[0]:
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header = "-----BEGIN PGP SIGNED MESSAGE-----\nHash: SHA512\n\n"
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footer = "-----BEGIN PGP SIGNATURE-----"
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cleartext_message = signed_message.split(header)[1].split(footer)[0].strip()
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return True, cleartext_message
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else:
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return False, None
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def base91_to_hex(base91_str: str) -> str:
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bytes_data = decode(base91_str)
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return bytes_data.hex()
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def hex_to_base91(hex_str: str) -> str:
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hex_bytes = bytes.fromhex(hex_str)
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base91_str = encode(hex_bytes)
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return base91_str
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def is_valid_token(token: str) -> bool:
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num_chars = len(token)
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if not 38 < num_chars < 41:
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return False
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charset = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789!#$%&()*+,./:;<=>?@[]^_`{|}~"'
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return all(c in charset for c in token)
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def objects_to_hyperlinks(logs: str) -> str:
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"""
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Parses strings that have Object(ID,NAME) that match API models.
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For example Robot(ID,NAME) will be parsed into
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<b><a href="/coordinator/api/robot/ID/change}">NAME</a></b>
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Used to format pretty logs for the Order admin panel.
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"""
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objects = ["LNPayment", "Robot", "Order", "OnchainPayment", "MarketTick"]
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for obj in objects:
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logs = re.sub(
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rf"{obj}\(([0-9a-fA-F\-A-F]+),\s*([^)]+)\)",
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lambda m: f'<b><a href="/coordinator/api/{obj.lower()}/{m.group(1)}">{m.group(2)}</a></b>',
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logs,
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flags=re.DOTALL,
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)
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return logs
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