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report.py
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report.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2022-2023 Valory AG
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ------------------------------------------------------------------------------
"""Obtains a report of the current service."""
import json
import math
import time
import traceback
from argparse import ArgumentParser
from collections import Counter
from dotenv import dotenv_values
from enum import Enum
from pathlib import Path
from typing import Any
import docker
import trades
from trades import (
MarketAttribute,
MarketState,
get_balance,
get_token_balance,
wei_to_olas,
wei_to_unit,
wei_to_wxdai,
wei_to_xdai,
)
from web3 import HTTPProvider, Web3
SCRIPT_PATH = Path(__file__).resolve().parent
STORE_PATH = Path(SCRIPT_PATH, ".trader_runner")
DOTENV_PATH = Path(STORE_PATH, ".env")
RPC_PATH = Path(STORE_PATH, "rpc.txt")
AGENT_KEYS_JSON_PATH = Path(STORE_PATH, "keys.json")
OPERATOR_KEYS_JSON_PATH = Path(STORE_PATH, "operator_keys.json")
SAFE_ADDRESS_PATH = Path(STORE_PATH, "service_safe_address.txt")
SERVICE_ID_PATH = Path(STORE_PATH, "service_id.txt")
STAKING_TOKEN_JSON_PATH = Path(
SCRIPT_PATH,
"trader",
"packages",
"valory",
"contracts",
"staking_token",
"build",
"StakingToken.json",
)
ACTIVITY_CHECKER_JSON_PATH = Path(
SCRIPT_PATH,
"trader",
"packages",
"valory",
"contracts",
"mech_activity",
"build",
"MechActivity.json",
)
SERVICE_REGISTRY_L2_JSON_PATH = Path(
SCRIPT_PATH,
"trader",
"packages",
"valory",
"contracts",
"service_registry",
"build",
"ServiceRegistryL2.json",
)
SERVICE_REGISTRY_TOKEN_UTILITY_JSON_PATH = Path(
SCRIPT_PATH,
"contracts",
"ServiceRegistryTokenUtility.json",
)
MECH_CONTRACT_ADDRESS = "0x77af31De935740567Cf4fF1986D04B2c964A786a"
MECH_CONTRACT_JSON_PATH = Path(
SCRIPT_PATH,
"trader",
"packages",
"valory",
"contracts",
"mech",
"build",
"mech.json",
)
SAFE_BALANCE_THRESHOLD = 500000000000000000
AGENT_XDAI_BALANCE_THRESHOLD = 50000000000000000
OPERATOR_XDAI_BALANCE_THRESHOLD = 50000000000000000
MECH_REQUESTS_PER_EPOCH_THRESHOLD = 10
TRADES_LOOKBACK_DAYS = 3
MULTI_TRADE_LOOKBACK_DAYS = TRADES_LOOKBACK_DAYS
SECONDS_PER_DAY = 60 * 60 * 24
OUTPUT_WIDTH = 80
class ColorCode:
"""Terminal color codes"""
GREEN = "\033[92m"
RED = "\033[91m"
YELLOW = "\033[93m"
RESET = "\033[0m"
class StakingState(Enum):
"""Staking state enumeration for the staking."""
UNSTAKED = 0
STAKED = 1
EVICTED = 2
def _color_string(text: str, color_code: str) -> str:
return f"{color_code}{text}{ColorCode.RESET}"
def _color_bool(
is_true: bool, true_string: str = "True", false_string: str = "False"
) -> str:
if is_true:
return _color_string(true_string, ColorCode.GREEN)
return _color_string(false_string, ColorCode.RED)
def _color_percent(p: float, multiplier: float = 100, symbol: str = "%") -> str:
if p >= 0:
return f"{p*multiplier:.2f} {symbol}"
return _color_string(f"{p*multiplier:.2f} {symbol}", ColorCode.RED)
def _trades_since_message(trades_json: dict[str, Any], utc_ts: float = 0) -> str:
filtered_trades = [
trade
for trade in trades_json.get("data", {}).get("fpmmTrades", [])
if float(trade["creationTimestamp"]) >= utc_ts
]
unique_markets = set(trade["fpmm"]["id"] for trade in filtered_trades)
trades_count = len(filtered_trades)
markets_count = len(unique_markets)
return f"{trades_count} trades on {markets_count} markets"
def _calculate_retrades_since(trades_json: dict[str, Any], utc_ts: float = 0) -> tuple[Counter[Any], int, int, int]:
filtered_trades = Counter((
trade.get("fpmm", {}).get("id", None)
for trade in trades_json.get("data", {}).get("fpmmTrades", [])
if float(trade.get("creationTimestamp", 0)) >= utc_ts
))
if None in filtered_trades:
raise ValueError(
f"Unexpected format in trades_json: {filtered_trades[None]} trades have no associated market ID.")
unique_markets = set(filtered_trades)
n_unique_markets = len(unique_markets)
n_trades = sum(filtered_trades.values())
n_retrades = sum(n_bets - 1 for n_bets in filtered_trades.values() if n_bets > 1)
return filtered_trades, n_unique_markets, n_trades, n_retrades
def _retrades_since_message(n_unique_markets: int, n_trades: int, n_retrades: int) -> str:
return f"{n_retrades} re-trades on total {n_trades} trades in {n_unique_markets} markets"
def _average_trades_since_message(n_trades: int, n_markets: int) -> str:
if not n_markets:
average_trades = 0
else:
average_trades = round(n_trades / n_markets, 2)
return f"{average_trades} trades per market"
def _max_trades_per_market_since_message(filtered_trades: Counter[Any]) -> str:
if not filtered_trades:
max_trades = 0
else:
max_trades = max(filtered_trades.values())
return f"{max_trades} trades per market"
def _get_mech_requests_count(
mech_requests: dict[str, Any], timestamp: float = 0
) -> int:
return sum(
1
for mech_request in mech_requests.values()
if mech_request.get("block_timestamp", 0) > timestamp
)
def _print_section_header(header: str) -> None:
print("\n\n" + header)
print("=" * OUTPUT_WIDTH)
def _print_subsection_header(header: str) -> None:
print("\n" + header)
print("-" * OUTPUT_WIDTH)
def _print_status(key: str, value: str, message: str = "") -> None:
print(f"{key:<30}{value:<10} {message or ''}")
def _warning_message(current_value: int, threshold: int = 0, message: str = "") -> str:
default_message = _color_string(
f"- Balance too low. Threshold is {wei_to_unit(threshold):.2f}.",
ColorCode.YELLOW,
)
if current_value < threshold:
return (
_color_string(f"{message}", ColorCode.YELLOW)
if message
else default_message
)
return ""
def _get_agent_status() -> str:
client = docker.from_env()
trader_abci_container = (
client.containers.get("trader_abci_0")
if "trader_abci_0" in [c.name for c in client.containers.list()]
else None
)
trader_tm_container = (
client.containers.get("trader_tm_0")
if "trader_tm_0" in [c.name for c in client.containers.list()]
else None
)
is_running = trader_abci_container and trader_tm_container
return _color_bool(is_running, "Running", "Stopped")
def _parse_args() -> Any:
"""Parse the script arguments."""
parser = ArgumentParser(description="Get a report for a trader service.")
args = parser.parse_args()
return args
if __name__ == "__main__":
user_args = _parse_args()
with open(AGENT_KEYS_JSON_PATH, "r", encoding="utf-8") as file:
agent_keys_data = json.load(file)
agent_address = agent_keys_data[0]["address"]
with open(OPERATOR_KEYS_JSON_PATH, "r", encoding="utf-8") as file:
operator_keys_data = json.load(file)
operator_address = operator_keys_data[0]["address"]
with open(SAFE_ADDRESS_PATH, "r", encoding="utf-8") as file:
safe_address = file.read().strip()
with open(SERVICE_ID_PATH, "r", encoding="utf-8") as file:
service_id = int(file.read().strip())
with open(RPC_PATH, "r", encoding="utf-8") as file:
rpc = file.read().strip()
env_file_vars = dotenv_values(DOTENV_PATH)
# Prediction market trading
mech_requests = trades.get_mech_requests(safe_address)
mech_statistics = trades.get_mech_statistics(mech_requests)
trades_json = trades._query_omen_xdai_subgraph(safe_address)
_, statistics_table = trades.parse_user(
rpc, safe_address, trades_json, mech_statistics
)
print("")
print("==============")
print("Service report")
print("==============")
# Performance
_print_section_header("Performance")
_print_subsection_header("Staking")
try:
w3 = Web3(HTTPProvider(rpc))
staking_token_address = env_file_vars.get("CUSTOM_STAKING_ADDRESS")
with open(STAKING_TOKEN_JSON_PATH, "r", encoding="utf-8") as file:
staking_token_data = json.load(file)
staking_token_abi = staking_token_data.get("abi", [])
staking_token_contract = w3.eth.contract(
address=staking_token_address, abi=staking_token_abi # type: ignore
)
staking_state = StakingState(
staking_token_contract.functions.getStakingState(
service_id
).call()
)
is_staked = (
staking_state == StakingState.STAKED
or staking_state == StakingState.EVICTED
)
_print_status("Is service staked?", _color_bool(is_staked, "Yes", "No"))
if is_staked:
_print_status("Staking program", env_file_vars.get("STAKING_PROGRAM")) # type: ignore
if staking_state == StakingState.STAKED:
_print_status("Staking state", staking_state.name)
elif staking_state == StakingState.EVICTED:
_print_status("Staking state", _color_string(staking_state.name, ColorCode.RED))
if is_staked:
activity_checker_address = staking_token_contract.functions.activityChecker().call()
with open(ACTIVITY_CHECKER_JSON_PATH, "r", encoding="utf-8") as file:
activity_checker_data = json.load(file)
activity_checker_abi = activity_checker_data.get("abi", [])
activity_checker_contract = w3.eth.contract(
address=activity_checker_address, abi=activity_checker_abi # type: ignore
)
with open(
SERVICE_REGISTRY_TOKEN_UTILITY_JSON_PATH, "r", encoding="utf-8"
) as file:
service_registry_token_utility_data = json.load(file)
service_registry_token_utility_contract_address = (
staking_token_contract.functions.serviceRegistryTokenUtility().call()
)
service_registry_token_utility_abi = (
service_registry_token_utility_data.get("abi", [])
)
service_registry_token_utility_contract = w3.eth.contract(
address=service_registry_token_utility_contract_address,
abi=service_registry_token_utility_abi,
)
mech_contract_address = env_file_vars.get("MECH_CONTRACT_ADDRESS")
with open(MECH_CONTRACT_JSON_PATH, "r", encoding="utf-8") as file:
mech_contract_data = json.load(file)
mech_contract_abi = mech_contract_data.get("abi", [])
mech_contract = w3.eth.contract(
address=mech_contract_address, abi=mech_contract_abi # type: ignore
)
security_deposit = (
service_registry_token_utility_contract.functions.getOperatorBalance(
operator_address, service_id
).call()
)
agent_id = int(env_file_vars.get("AGENT_ID").strip())
agent_bond = service_registry_token_utility_contract.functions.getAgentBond(
service_id, agent_id
).call()
min_staking_deposit = (
staking_token_contract.functions.minStakingDeposit().call()
)
# In the setting 1 agent instance as of now: minOwnerBond = minStakingDeposit
min_security_deposit = min_staking_deposit
_print_status(
"Staked (security deposit)",
f"{wei_to_olas(security_deposit)} {_warning_message(security_deposit, min_security_deposit)}",
)
_print_status(
"Staked (agent bond)",
f"{wei_to_olas(agent_bond)} {_warning_message(agent_bond, min_staking_deposit)}",
)
service_info = staking_token_contract.functions.mapServiceInfo(
service_id
).call()
rewards = service_info[3]
_print_status("Accrued rewards", f"{wei_to_olas(rewards)}")
liveness_ratio = (
activity_checker_contract.functions.livenessRatio().call()
)
mech_requests_24h_threshold = math.ceil(
(liveness_ratio * 60 * 60 * 24) / 10**18
)
next_checkpoint_ts = (
staking_token_contract.functions.getNextRewardCheckpointTimestamp().call()
)
liveness_period = (
staking_token_contract.functions.livenessPeriod().call()
)
last_checkpoint_ts = next_checkpoint_ts - liveness_period
mech_request_count = mech_contract.functions.getRequestsCount(safe_address).call()
mech_request_count_on_last_checkpoint = (
staking_token_contract.functions.getServiceInfo(service_id).call()
)[2][1]
mech_requests_since_last_cp = mech_request_count - mech_request_count_on_last_checkpoint
# mech_requests_current_epoch = _get_mech_requests_count(
# mech_requests, last_checkpoint_ts
# )
mech_requests_current_epoch = mech_requests_since_last_cp
_print_status(
"Num. Mech txs current epoch",
f"{mech_requests_current_epoch} {_warning_message(mech_requests_current_epoch, mech_requests_24h_threshold, f'- Too low. Threshold is {mech_requests_24h_threshold}.')}",
)
except Exception: # pylint: disable=broad-except
traceback.print_exc()
print("An error occurred while interacting with the staking contract.")
_print_subsection_header("Prediction market trading")
_print_status(
"ROI on closed markets",
_color_percent(statistics_table[MarketAttribute.ROI][MarketState.CLOSED]),
)
since_ts = time.time() - SECONDS_PER_DAY * TRADES_LOOKBACK_DAYS
_print_status(
f"Trades on last {TRADES_LOOKBACK_DAYS} days",
_trades_since_message(trades_json, since_ts),
)
#Multi trade strategy
retrades_since_ts = time.time() - SECONDS_PER_DAY * MULTI_TRADE_LOOKBACK_DAYS
filtered_trades, n_unique_markets, n_trades, n_retrades = _calculate_retrades_since(trades_json, retrades_since_ts)
_print_subsection_header(f"Multi-trade markets in previous {MULTI_TRADE_LOOKBACK_DAYS} days")
_print_status(f"Multi-trade markets", _retrades_since_message(n_unique_markets, n_trades, n_retrades))
_print_status(f"Average trades per market", _average_trades_since_message(n_trades, n_unique_markets))
_print_status(f"Max trades per market", _max_trades_per_market_since_message(filtered_trades))
# Service
_print_section_header("Service")
_print_status("ID", str(service_id))
# Agent
agent_status = _get_agent_status()
agent_xdai = get_balance(agent_address, rpc)
_print_subsection_header("Agent")
_print_status("Status (on this machine)", agent_status)
_print_status("Address", agent_address)
_print_status(
"xDAI Balance",
f"{wei_to_xdai(agent_xdai)} {_warning_message(agent_xdai, AGENT_XDAI_BALANCE_THRESHOLD)}",
)
# Safe
safe_xdai = get_balance(safe_address, rpc)
safe_wxdai = get_token_balance(safe_address, trades.WXDAI_CONTRACT_ADDRESS, rpc)
_print_subsection_header(
f"Safe {_warning_message(safe_xdai + safe_wxdai, SAFE_BALANCE_THRESHOLD)}"
)
_print_status("Address", safe_address)
_print_status("xDAI Balance", wei_to_xdai(safe_xdai))
_print_status("WxDAI Balance", wei_to_wxdai(safe_wxdai))
# Owner/Operator
operator_xdai = get_balance(operator_address, rpc)
_print_subsection_header("Owner/Operator")
_print_status("Address", operator_address)
_print_status(
"xDAI Balance",
f"{wei_to_xdai(operator_xdai)} {_warning_message(operator_xdai, OPERATOR_XDAI_BALANCE_THRESHOLD)}",
)
print("")