diff --git a/main.py b/main.py index bfacf232..63c0008f 100644 --- a/main.py +++ b/main.py @@ -3,9 +3,7 @@ import typer from prediction_market_agent_tooling.markets.markets import ( MarketType, - get_bet_amount, get_binary_markets, - place_bet, ) import prediction_market_agent as pma @@ -21,7 +19,7 @@ def main( Picks one market and answers it, optionally placing a bet. """ # Pick a market - market = get_binary_markets(market_type)[0].to_agent_market() + market = get_binary_markets(market_type)[0] # Create the agent and run it agent = get_agent(agent_type) @@ -44,13 +42,11 @@ def main( f"Placing bet with position {pma.utils.parse_result_to_str(result)} on market '{market.question}'" ) amount = Decimal( - input(f"How much do you want to bet? (in {market.bet_amount_currency}): ") + input(f"How much do you want to bet? (in {market.currency}): ") ) - place_bet( - market=market.original_market, - amount=get_bet_amount(amount, market_type), + market.place_bet( + amount=market.get_bet_amount(amount), outcome=result, - omen_auto_deposit=True, ) diff --git a/poetry.lock b/poetry.lock index 07d98b4d..3840e80c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -110,6 +110,30 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "altair" +version = "5.2.0" +description = "Vega-Altair: A declarative statistical visualization library for Python." +optional = false +python-versions = ">=3.8" +files = [ + {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"}, + {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"}, +] + +[package.dependencies] +jinja2 = "*" +jsonschema = ">=3.0" +numpy = "*" +packaging = "*" +pandas = ">=0.25" +toolz = "*" +typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""} + +[package.extras] +dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"] +doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"] + [[package]] name = "annotated-types" version = "0.6.0" @@ -123,13 +147,13 @@ files = [ [[package]] name = "anyio" -version = "4.2.0" +version = "4.3.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" files = [ - {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"}, - {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"}, + {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"}, + {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"}, ] [package.dependencies] @@ -175,19 +199,30 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p [[package]] name = "autoflake" -version = "2.2.1" +version = "2.3.0" description = "Removes unused imports and unused variables" optional = false python-versions = ">=3.8" files = [ - {file = "autoflake-2.2.1-py3-none-any.whl", hash = "sha256:265cde0a43c1f44ecfb4f30d95b0437796759d07be7706a2f70e4719234c0f79"}, - {file = "autoflake-2.2.1.tar.gz", hash = "sha256:62b7b6449a692c3c9b0c916919bbc21648da7281e8506bcf8d3f8280e431ebc1"}, + {file = "autoflake-2.3.0-py3-none-any.whl", hash = "sha256:79a51eb8c0744759d2efe052455ab20aa6a314763510c3fd897499a402126327"}, + {file = "autoflake-2.3.0.tar.gz", hash = "sha256:8c2011fa34701b9d7dcf05b9873bc4859d4fce4e62dfea90dffefd1576f5f01d"}, ] [package.dependencies] pyflakes = ">=3.0.0" tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""} +[[package]] +name = "backoff" +version = "2.2.1" +description = "Function decoration for backoff and retry" +optional = false +python-versions = ">=3.7,<4.0" +files = [ + {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"}, + {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"}, +] + [[package]] name = "beautifulsoup4" version = "4.12.3" @@ -410,7 +445,6 @@ files = [ [package.dependencies] colorama = {version = "*", markers = "os_name == \"nt\""} -importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""} packaging = ">=19.0" pyproject_hooks = "*" tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} @@ -697,20 +731,25 @@ files = [ [[package]] name = "crewai" -version = "0.1.32" +version = "0.11.2" description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. 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0392b6d7..730fdce5 100644 --- a/prediction_market_agent/agents/always_yes.py +++ b/prediction_market_agent/agents/always_yes.py @@ -1,4 +1,4 @@ -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent.agents.abstract import AbstractAgent diff --git a/prediction_market_agent/agents/autogen_agent.py b/prediction_market_agent/agents/autogen_agent.py index a96a8d71..6dc66270 100644 --- a/prediction_market_agent/agents/autogen_agent.py +++ b/prediction_market_agent/agents/autogen_agent.py @@ -3,7 +3,7 @@ import autogen from autogen.agentchat.contrib.gpt_assistant_agent import GPTAssistantAgent -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent import utils from prediction_market_agent.agents.abstract import AbstractAgent diff --git a/prediction_market_agent/agents/crewai_agent.py b/prediction_market_agent/agents/crewai_agent.py index 82edf7fa..1e8077c6 100644 --- a/prediction_market_agent/agents/crewai_agent.py +++ b/prediction_market_agent/agents/crewai_agent.py @@ -1,7 +1,7 @@ import json from langchain_community.tools import DuckDuckGoSearchRun -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent.agents.abstract import AbstractAgent diff --git a/prediction_market_agent/agents/custom_agent.py b/prediction_market_agent/agents/custom_agent.py index 3ead855a..69dea900 100644 --- a/prediction_market_agent/agents/custom_agent.py +++ b/prediction_market_agent/agents/custom_agent.py @@ -2,7 +2,7 @@ from typing import Optional import requests -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent_tooling.tools.utils import ( check_not_none, should_not_happen, @@ -118,7 +118,7 @@ def answer_binary_market(self, market: AgentMarket) -> bool: elif tool_name := completion_dict.get("tool_name"): tool_params = completion_dict.get("tool_params") self.verbose_print(f"Agent: Using {tool_name=} with {tool_params=}.") - tool_output = ( + tool_output = ( # type: ignore # Untyped for the sake of simplicity when the LLM is used. self.google_search if tool_name == "GoogleSearchTool" else ( @@ -126,7 +126,9 @@ def answer_binary_market(self, market: AgentMarket) -> bool: if tool_name == "WebScrapingTool" else should_not_happen("Unknown tool requested from the LLM.") ) - )(**tool_params) + )( + **tool_params + ) self.verbose_print(f"Tool: {tool_name=} returns {tool_output=}.") messages.append( Message( diff --git a/prediction_market_agent/agents/langchain_agent.py b/prediction_market_agent/agents/langchain_agent.py index 400b2542..bae9964b 100644 --- a/prediction_market_agent/agents/langchain_agent.py +++ b/prediction_market_agent/agents/langchain_agent.py @@ -1,6 +1,6 @@ from langchain.agents import AgentType, initialize_agent, load_tools from langchain_community.llms import OpenAI -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent import utils from prediction_market_agent.agents.abstract import AbstractAgent @@ -13,7 +13,9 @@ def __init__(self) -> None: # Can use pre-defined search tool # TODO: Tavily tool could give better results # https://docs.tavily.com/docs/tavily-api/langchain - tools = load_tools(["serpapi", "llm-math"], llm=llm, serpapi_api_key=keys.serp) + tools = load_tools( + ["serpapi", "llm-math"], llm=llm, serpapi_api_key=keys.serp_api_key + ) self._agent = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True ) diff --git a/prediction_market_agent/agents/llamaindex_agent.py b/prediction_market_agent/agents/llamaindex_agent.py index 1da3dca5..6cce6323 100644 --- a/prediction_market_agent/agents/llamaindex_agent.py +++ b/prediction_market_agent/agents/llamaindex_agent.py @@ -1,7 +1,7 @@ from llama_index.agent import OpenAIAgent from llama_index.llms import OpenAI from llama_index.tools import FunctionTool -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent import utils from prediction_market_agent.agents.abstract import AbstractAgent diff --git a/prediction_market_agent/agents/metagpt_agent.py b/prediction_market_agent/agents/metagpt_agent.py index 6cb9a570..df9972c0 100644 --- a/prediction_market_agent/agents/metagpt_agent.py +++ b/prediction_market_agent/agents/metagpt_agent.py @@ -3,7 +3,7 @@ import os import dotenv -from prediction_market_agent_tooling.markets.data_models import AgentMarket +from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent_tooling.tools.utils import check_not_none from prediction_market_agent.agents.abstract import AbstractAgent diff --git a/prediction_market_agent/tools/betting_strategies.py b/prediction_market_agent/tools/betting_strategies.py index 86725b0d..613ab360 100644 --- a/prediction_market_agent/tools/betting_strategies.py +++ b/prediction_market_agent/tools/betting_strategies.py @@ -6,8 +6,9 @@ from prediction_market_agent_tooling.gtypes import Probability, wei_type, xDai from prediction_market_agent_tooling.markets.data_models import BetAmount, Currency from prediction_market_agent_tooling.markets.markets import MarketType -from prediction_market_agent_tooling.markets.omen import ( - OmenMarket, +from prediction_market_agent_tooling.markets.omen.data_models import OmenMarket +from prediction_market_agent_tooling.markets.omen.omen import ( + OmenAgentMarket, omen_calculate_buy_amount, ) from prediction_market_agent_tooling.tools.gnosis_rpc import GNOSIS_RPC_URL @@ -57,6 +58,7 @@ def get_market_moving_bet( new_product - fixed_product = dx * na_y dx = (new_product - fixed_product) / na_y """ + market_agent = OmenAgentMarket.from_data_model(market) amounts = market.outcomeTokenAmounts prices = check_not_none( market.outcomeTokenProbabilities, "No probabilities, is marked closed?" @@ -98,7 +100,7 @@ def get_market_moving_bet( if check_vs_contract: expected_trade = omen_calculate_buy_amount( web3=Web3(Web3.HTTPProvider(GNOSIS_RPC_URL)), - market=market, + market=market_agent, investment_amount=wei_type(bet_amount), outcome_index=bet_outcome_index, ) @@ -114,7 +116,7 @@ def get_market_moving_bet( if verbose: outcome = market.get_outcome_str(bet_outcome_index) print( - f"Target p_yes: {target_p_yes:.2f}, bet: {wei_to_xdai(bet_amount_wei):.2f}{market.BET_AMOUNT_CURRENCY} for {outcome}, new p_yes: {new_p_yes:.2f}" + f"Target p_yes: {target_p_yes:.2f}, bet: {wei_to_xdai(bet_amount_wei):.2f}{market_agent.currency} for {outcome}, new p_yes: {new_p_yes:.2f}" ) if abs(target_p_yes - new_p_yes) < 0.01: break diff --git a/prediction_market_agent/tools/google_search.py b/prediction_market_agent/tools/google_search.py index b8df9c9a..edc6585e 100644 --- a/prediction_market_agent/tools/google_search.py +++ b/prediction_market_agent/tools/google_search.py @@ -4,7 +4,7 @@ def google_search(query: str) -> list[str]: - params = {"q": query, "api_key": utils.APIKeys().serp, "num": 4} + params = {"q": query, "api_key": utils.APIKeys().serp_api_key, "num": 4} search = serpapi.GoogleSearch(params) urls = [result["link"] for result in search.get_dict()["organic_results"]] return urls diff --git a/prediction_market_agent/utils.py b/prediction_market_agent/utils.py index 07f0a8b3..570c580c 100644 --- a/prediction_market_agent/utils.py +++ b/prediction_market_agent/utils.py @@ -13,13 +13,13 @@ class APIKeys(APIKeysBase): @property def serp_api_key(self) -> str: - return check_not_none( # type: ignore # Remove once PMAT is correctly released and this doesn't ignore his typing. + return check_not_none( self.SERP_API_KEY, "SERP_API_KEY missing in the environment." ) @property def openai_api_key(self) -> str: - return check_not_none( # type: ignore # Remove once PMAT is correctly released and this doesn't ignore his typing. + return check_not_none( self.OPENAI_API_KEY, "OPENAI_API_KEY missing in the environment." ) @@ -34,7 +34,7 @@ def get_market_prompt(question: str) -> str: def parse_result_to_boolean(result: str) -> bool: - return ( # type: ignore # Remove once PMAT is correctly released and this doesn't ignore his typing. + return ( True if result.lower() == "yes" else ( diff --git a/pyproject.toml b/pyproject.toml index a258f696..3eb4ee58 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ authors = ["Gnosis"] readme = "README.md" [tool.poetry.dependencies] -python = ">=3.9,<3.10" +python = "~3.10.0" python-dotenv = "*" openai = "*" langchain = "~0.1.1" @@ -35,8 +35,7 @@ poetry = "^1.7.1" poetry-plugin-export = "^1.6.0" functions-framework = "^3.5.0" cron-validator = "^1.0.8" -# TODO: Change to the correct version once it's released. -prediction-market-agent-tooling = { git = "https://github.com/gnosis/prediction-market-agent-tooling.git", branch = "peter/fix-apikeys" } +prediction-market-agent-tooling = "0.2.6" pydantic-settings = "^2.1.0" autoflake = "^2.2.1" isort = "^5.13.2" diff --git a/tests/tools/test_betting_strategies.py b/tests/tools/test_betting_strategies.py index b68dd6f7..8ca9dc4f 100644 --- a/tests/tools/test_betting_strategies.py +++ b/tests/tools/test_betting_strategies.py @@ -11,7 +11,7 @@ xDai, xdai_type, ) -from prediction_market_agent_tooling.markets.markets import omen +from prediction_market_agent_tooling.markets.omen import omen from prediction_market_agent.tools.betting_strategies import ( get_kelly_criterion_bet, @@ -59,7 +59,7 @@ def test_get_market_moving_bet_0( float(expected_buying_xdai_amount), atol=2.0, # We don't expect it to be 100% accurate, but close enough. ), f"To move this martket to ~{wanted_p_yes_on_the_market}% for yes, the amount should be {expected_buying_xdai_amount}xDai, according to aiomen website." - assert outcome_index == TEST_OMEN_MARKET.get_outcome_index( + assert outcome_index == TEST_OMEN_MARKET.outcomes.index( expected_buying_outcome ), f"The buying outcome index should `{expected_buying_outcome}`." @@ -79,4 +79,4 @@ def test_kelly_criterion_bet_0(est_p_yes: Probability, expected_outcome: str) -> ) # Kelly estimates the best bet for maximizing the expected value of the logarithm of the wealth. # We don't know the real best xdai_amount, but at least we know which outcome index makes sense. - assert outcome_index == TEST_OMEN_MARKET.get_outcome_index(expected_outcome) + assert outcome_index == TEST_OMEN_MARKET.outcomes.index(expected_outcome)