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+python-versions = "*" +files = [ + {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"}, + {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"}, +] [[package]] name = "typing-extensions" @@ -7259,23 +6664,19 @@ files = [ [[package]] name = "urllib3" -version = "2.2.1" +version = "1.26.18" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false -python-versions = ">=3.8" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" files = [ - {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"}, - {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"}, + {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, + {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, ] -[package.dependencies] -pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""} - [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] -h2 = ["h2 (>=4,<5)"] -socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["zstandard (>=0.18.0)"] +brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] +secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] +socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] [[package]] name = "uvicorn" @@ -7347,6 +6748,16 @@ files = [ docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"] test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"] +[[package]] +name = "varint" +version = "1.0.2" +description = "Simple python varint implementation" +optional = false +python-versions = "*" +files = [ + {file = "varint-1.0.2.tar.gz", hash = "sha256:a6ecc02377ac5ee9d65a6a8ad45c9ff1dac8ccee19400a5950fb51d594214ca5"}, +] + [[package]] name = "virtualenv" version = "20.25.1" @@ -7497,19 +6908,19 @@ anyio = ">=3.0.0" [[package]] name = "web3" -version = "6.17.0" +version = "6.17.1" description = "web3.py" optional = false python-versions = ">=3.7.2" files = [ - {file = "web3-6.17.0-py3-none-any.whl", hash = "sha256:37334971dc195d0b3fb930317b63a36b0f71e6a0fd30deca96f1ac58e65704c0"}, - {file = "web3-6.17.0.tar.gz", hash = "sha256:1b535272a40da3d8d2b120856edb53b84b0c08bcc8fe1a5bbd5f816fd72f4ec6"}, + {file = "web3-6.17.1-py3-none-any.whl", hash = "sha256:eabc6f0d92a59cc0968e3d98238e40df29c0bedac7760cbd08d9cb0a76741de3"}, + {file = "web3-6.17.1.tar.gz", hash = "sha256:38372fae8adfbf92407ead7396f27e233facb717e6837119a4133f045543d447"}, ] [package.dependencies] aiohttp = ">=3.7.4.post0" eth-abi = ">=4.0.0" -eth-account = ">=0.8.0" +eth-account = ">=0.8.0,<0.13" eth-hash = {version = ">=0.5.1", extras = ["pycryptodome"]} eth-typing = ">=3.0.0,<4.2.0" eth-utils = ">=2.1.0" @@ -7531,19 +6942,17 @@ tester = ["eth-tester[py-evm] (>=0.11.0b1,<0.12.0b1)", "eth-tester[py-evm] (>=0. [[package]] name = "websocket-client" -version = "1.7.0" +version = "0.59.0" description = "WebSocket client for Python with low level API options" optional = false -python-versions = ">=3.8" +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" files = [ - {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"}, - {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"}, + {file = "websocket-client-0.59.0.tar.gz", hash = "sha256:d376bd60eace9d437ab6d7ee16f4ab4e821c9dae591e1b783c58ebd8aaf80c5c"}, + {file = "websocket_client-0.59.0-py2.py3-none-any.whl", hash = "sha256:2e50d26ca593f70aba7b13a489435ef88b8fc3b5c5643c1ce8808ff9b40f0b32"}, ] -[package.extras] -docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"] -optional = ["python-socks", "wsaccel"] -test = ["websockets"] +[package.dependencies] +six = "*" [[package]] name = "websockets" @@ -7736,20 +7145,6 @@ files = [ {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"}, ] -[[package]] -name = "wsproto" -version = "1.2.0" -description = "WebSockets state-machine based protocol implementation" -optional = false -python-versions = ">=3.7.0" -files = [ - {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, - {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, -] - -[package.dependencies] -h11 = ">=0.9.0,<1" - [[package]] name = "xattr" version = "1.1.0" @@ -7926,41 +7321,6 @@ files = [ idna = ">=2.0" multidict = ">=4.0" -[[package]] -name = "youtube-transcript-api" -version = "0.6.2" -description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!" -optional = false -python-versions = "*" -files = [ - {file = "youtube_transcript_api-0.6.2-py3-none-any.whl", hash = "sha256:019dbf265c6a68a0591c513fff25ed5a116ce6525832aefdfb34d4df5567121c"}, - {file = "youtube_transcript_api-0.6.2.tar.gz", hash = "sha256:cad223d7620633cec44f657646bffc8bbc5598bd8e70b1ad2fa8277dec305eb7"}, -] - -[package.dependencies] -requests = "*" - -[[package]] -name = "yt-dlp" -version = "2023.12.30" -description = "A youtube-dl fork with additional features and patches" -optional = false -python-versions = ">=3.8" -files = [ - {file = "yt-dlp-2023.12.30.tar.gz", hash = "sha256:a11862e57721b0a0f0883dfeb5a4d79ba213a2d4c45e1880e9fd70f8e6570c38"}, - {file = "yt_dlp-2023.12.30-py2.py3-none-any.whl", hash = "sha256:c00d9a71d64472ad441bcaa1ec0c3797d6e60c9f934f270096a96fe51657e7b3"}, -] - -[package.dependencies] -brotli = {version = "*", markers = "implementation_name == \"cpython\""} -brotlicffi = {version = "*", markers = "implementation_name != \"cpython\""} -certifi = "*" -mutagen = "*" -pycryptodomex = "*" -requests = ">=2.31.0,<3" -urllib3 = ">=1.26.17,<3" -websockets = ">=12.0" - [[package]] name = "zipp" version = "3.18.1" @@ -7979,4 +7339,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "~3.10.0" -content-hash = "e9bfc0ebc6a3f74e4864f36861533175f92f8b0b464c7cf9f5e189b5d390df1b" +content-hash = "7cf3e6a75603f8d995c8e938641fee442195b7bc6ba560f87d6842fc017699d3" diff --git a/prediction_market_agent/agents/known_outcome_agent/known_outcome_agent.py b/prediction_market_agent/agents/known_outcome_agent/known_outcome_agent.py index 795ea6cc..81b504c1 100644 --- a/prediction_market_agent/agents/known_outcome_agent/known_outcome_agent.py +++ b/prediction_market_agent/agents/known_outcome_agent/known_outcome_agent.py @@ -1,5 +1,3 @@ -import json -import typing as t from datetime import datetime from enum import Enum @@ -12,6 +10,7 @@ from prediction_market_agent.tools.web_scrape.basic_summary import _summary from prediction_market_agent.tools.web_scrape.markdown import web_scrape from prediction_market_agent.tools.web_search.tavily import web_search +from prediction_market_agent.utils import completion_str_to_json class Result(str, Enum): @@ -141,26 +140,6 @@ def has_known_result(self) -> bool: """ -def completion_str_to_json(completion: str) -> dict[str, t.Any]: - """ - Cleans completion JSON in form of a string: - - ```json - { - ... - } - ``` - - into just { ... } - ``` - """ - start_index = completion.find("{") - end_index = completion.rfind("}") - completion = completion[start_index : end_index + 1] - completion_dict: dict[str, t.Any] = json.loads(completion) - return completion_dict - - def summarize_if_required(content: str, model: str, question: str) -> str: """ If the content is too long to fit in the model's context, summarize it. diff --git a/prediction_market_agent/agents/microchain_agent/functions.py b/prediction_market_agent/agents/microchain_agent/functions.py index 1d3e0c7d..bcad4bc6 100644 --- a/prediction_market_agent/agents/microchain_agent/functions.py +++ b/prediction_market_agent/agents/microchain_agent/functions.py @@ -1,7 +1,9 @@ +import json import typing as t from decimal import Decimal from eth_utils import to_checksum_address +from mech_client.interact import interact from microchain import Function from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent_tooling.markets.data_models import Currency, TokenAmount @@ -11,7 +13,11 @@ OmenSubgraphHandler, ) +from prediction_market_agent.agents.microchain_agent.mech.mech.packages.polywrap.customs.prediction_with_research_report import ( + prediction_with_research_report, +) from prediction_market_agent.agents.microchain_agent.utils import ( + MechResult, MicroMarket, get_balance, get_binary_markets, @@ -19,8 +25,9 @@ get_example_market_id, get_no_outcome, get_yes_outcome, + saved_str_to_tmpfile, ) -from prediction_market_agent.utils import APIKeys +from prediction_market_agent.utils import APIKeys, completion_str_to_json class Sum(Function): @@ -98,22 +105,79 @@ def __call__(self, market_id: str) -> list[str]: ] -class PredictPropabilityForQuestion(MarketFunction): +class PredictProbabilityForQuestion(MarketFunction): @property def description(self) -> str: - return "Use this function to research the probability of an event occuring" + return ( + "Use this function to research perform research and predict the " + "probability of an event occuring. Returns the probability. The " + "one parameter is the market id of the prediction market you want " + "to predict the probability of. Note, this costs money to run." + ) @property def example_args(self) -> list[str]: - return ["Will Joe Biden get reelected in 2024?"] + return [get_example_market_id(self.market_type)] + + def __call__(self, market_id: str) -> str: + question = self.market_type.market_class.get_binary_market( + id=market_id + ).question + private_key = APIKeys().bet_from_private_key.get_secret_value() + # 0.01 xDai is hardcoded cost for an interaction with the mech-client + MECH_CALL_XDAI_LIMIT = 0.011 + account_balance = float(get_balance(market_type=self.market_type).amount) + if account_balance < MECH_CALL_XDAI_LIMIT: + return ( + f"Your balance of {self.currency} ({account_balance}) is not " + f"large enough to make a mech call (min required " + f"{MECH_CALL_XDAI_LIMIT})." + ) + with saved_str_to_tmpfile(private_key) as tmpfile_path: + response = interact( + prompt=question, + # Taken from https://github.com/valory-xyz/mech?tab=readme-ov-file#examples-of-deployed-mechs + agent_id=3, + private_key_path=tmpfile_path, + # To see a list of available tools, comment out the tool parameter + # and run the function. You will be prompted to select a tool. + tool="claude-prediction-online", + ) + result = json.loads(response["result"]) + return str(MechResult.model_validate(result).p_yes) - def __call__(self, a: str) -> float: - if a == "Will Joe Biden get reelected in 2024?": - return 0.41 - if a == "Will Bitcoin hit 100k in 2024?": - return 0.22 - return 0.0 +class PredictProbabilityForQuestionLocal(MarketFunction): + @property + def description(self) -> str: + return ( + "Use this function to research perform research and predict the " + "probability of an event occuring. Returns the probability. The " + "one parameter is the market id of the prediction market you want " + "to predict the probability of." + ) + + @property + def example_args(self) -> list[str]: + return [get_example_market_id(self.market_type)] + + def __call__(self, market_id: str) -> str: + question = self.market_type.market_class.get_binary_market( + id=market_id + ).question + keys = APIKeys() + openai_api_key = keys.openai_api_key.get_secret_value() + tavily_api_key = keys.tavily_api_key.get_secret_value() + response = prediction_with_research_report.run( + tool="prediction-with-research-conservative", + prompt=question, + api_keys={ + "openai": openai_api_key, + "tavily": tavily_api_key, + }, + ) + result = completion_str_to_json(str(response[0])) + return str(MechResult.model_validate(result).p_yes) class BuyTokens(MarketFunction): @@ -290,7 +354,8 @@ def __call__(self, user_address: str) -> list[OmenUserPosition]: MARKET_FUNCTIONS: list[type[MarketFunction]] = [ GetMarkets, GetMarketProbability, - PredictPropabilityForQuestion, + # PredictProbabilityForQuestion, # Too flaky, use local version for now + PredictProbabilityForQuestionLocal, GetBalance, BuyYes, BuyNo, diff --git a/prediction_market_agent/agents/microchain_agent/mech/__init__.py b/prediction_market_agent/agents/microchain_agent/mech/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/prediction_market_agent/agents/microchain_agent/mech/mech b/prediction_market_agent/agents/microchain_agent/mech/mech new file mode 160000 index 00000000..0179545c --- /dev/null +++ b/prediction_market_agent/agents/microchain_agent/mech/mech @@ -0,0 +1 @@ +Subproject commit 0179545c14d0b36bc2b22c50e5b9fcf59c168ed9 diff --git a/prediction_market_agent/agents/microchain_agent/microchain_agent.py b/prediction_market_agent/agents/microchain_agent/microchain_agent.py index bcd97bfa..9a925784 100644 --- a/prediction_market_agent/agents/microchain_agent/microchain_agent.py +++ b/prediction_market_agent/agents/microchain_agent/microchain_agent.py @@ -20,7 +20,7 @@ temperature=0.7, ) agent = Agent(llm=LLM(generator=generator), engine=engine) -agent.prompt = f"""Act as a agent. You can use the following functions: +agent.prompt = f"""Act as a agent to maximise your profit. You can use the following functions: {engine.help} @@ -30,5 +30,5 @@ """ agent.bootstrap = ['Reasoning("I need to reason step-by-step")'] -agent.run(iterations=3) +agent.run(iterations=10) generator.print_usage() diff --git a/prediction_market_agent/agents/microchain_agent/utils.py b/prediction_market_agent/agents/microchain_agent/utils.py index 26722a54..8244f2d1 100644 --- a/prediction_market_agent/agents/microchain_agent/utils.py +++ b/prediction_market_agent/agents/microchain_agent/utils.py @@ -1,4 +1,7 @@ +import os +import tempfile import typing as t +from contextlib import contextmanager from decimal import Decimal from prediction_market_agent_tooling.markets.agent_market import ( @@ -36,6 +39,13 @@ def __str__(self) -> str: return f"'{self.question}', id: {self.id}" +class MechResult(BaseModel): + p_yes: float + p_no: float + confidence: float + info_utility: float + + def get_binary_markets(market_type: MarketType) -> list[AgentMarket]: # Get the 5 markets that are closing soonest cls = market_type.market_class @@ -89,3 +99,15 @@ def get_example_market_id(market_type: MarketType) -> str: return "0x0020d13c89140b47e10db54cbd53852b90bc1391" else: raise ValueError(f"Market type '{market_type}' not supported") + + +@contextmanager +def saved_str_to_tmpfile(s: str) -> t.Iterator[str]: + # Write the string to the temporary file + with tempfile.NamedTemporaryFile(delete=False) as tmp: + tmp.write(s.encode()) + + yield tmp.name + + # Finally remove the temporary file + os.remove(tmp.name) diff --git a/prediction_market_agent/utils.py b/prediction_market_agent/utils.py index 10a9834e..239c5505 100644 --- a/prediction_market_agent/utils.py +++ b/prediction_market_agent/utils.py @@ -1,3 +1,4 @@ +import json import typing as t from prediction_market_agent_tooling.config import APIKeys as APIKeysBase @@ -55,3 +56,23 @@ def parse_result_to_boolean(result: str) -> bool: def parse_result_to_str(result: bool) -> str: return "Yes" if result else "No" + + +def completion_str_to_json(completion: str) -> dict[str, t.Any]: + """ + Cleans completion JSON in form of a string: + + ```json + { + ... + } + ``` + + into just { ... } + ``` + """ + start_index = completion.find("{") + end_index = completion.rfind("}") + completion = completion[start_index : end_index + 1] + completion_dict: dict[str, t.Any] = json.loads(completion) + return completion_dict diff --git a/pyproject.toml b/pyproject.toml index d59be4e8..26e8eae9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,13 +21,13 @@ google-search-results = "*" pytest = "*" llama-index = "~0.9.0" duckduckgo-search = "*" -crewai = {extras = ["tools"], version = "^0.22.5"} +crewai = {extras = ["tools"], version = "^0.11.0"} # metagpt = "*" # Commented out because requires super old version of langchain, and conflicts with crewai. replicate = "*" typer = "^0.9.0" web3 = "^6.14.0" mypy = "^1.8.0" -types-requests = "^2.31.0.20240106" +types-requests = "^2.31.0.0" black = "^23.12.1" google-cloud-functions = "^1.16.0" google-cloud-resource-manager = "^1.12.0" @@ -35,13 +35,16 @@ poetry = "^1.7.1" poetry-plugin-export = "^1.6.0" functions-framework = "^3.5.0" cron-validator = "^1.0.8" -prediction-market-agent-tooling = "^0.13.1" +prediction-market-agent-tooling = "^0.13.2" pydantic-settings = "^2.1.0" autoflake = "^2.2.1" isort = "^5.13.2" markdownify = "^0.11.6" tavily-python = "^0.3.1" microchain-python = "^0.3.5" +setuptools = "^69.5.1" +jsonschema = "^4.3.3" +chromadb = "^0.4.24" [build-system] requires = ["poetry-core"] diff --git a/tests/agents/microchain/test_functions.py b/tests/agents/microchain/test_functions.py index f4f10d0e..e62db7b0 100644 --- a/tests/agents/microchain/test_functions.py +++ b/tests/agents/microchain/test_functions.py @@ -15,6 +15,9 @@ GetMarketProbability, GetMarkets, GetUserPositions, + MarketFunction, + PredictProbabilityForQuestion, + PredictProbabilityForQuestionLocal, SellNo, SellYes, ) @@ -160,3 +163,24 @@ def get_balances() -> tuple[float, float]: n_tokens_bought = after_tokens - before_tokens n_tokens_sold = after_tokens - final_tokens assert np.isclose(n_tokens_bought, n_tokens_sold, rtol=0.02) + + +@pytest.mark.skipif(not RUN_PAID_TESTS, reason="This test costs money to run.") +@pytest.mark.parametrize( + "prediction_method", + [ + PredictProbabilityForQuestion, + PredictProbabilityForQuestionLocal, + ], +) +@pytest.mark.parametrize("market_type", [MarketType.OMEN]) +def test_predict_probability( + market_type: MarketType, prediction_method: MarketFunction +) -> None: + """ + Test calling a mech to predict the probability of a market + """ + predict_probability = prediction_method(market_type=market_type) + market = get_binary_markets(market_type=market_type)[0] + p_yes = predict_probability(market.id) + assert 0.0 <= float(p_yes) <= 1.0