Fixed mypy

prediction_market_agent/agents/crewai_subsequential_agent/benchmark.py

@@ -1,5 +1,5 @@
 import typing as t
-from datetime import datetime
+from datetime import datetime, timedelta
 
 import typer
 from loguru import logger
@@ -23,6 +23,7 @@
     MarketType,
     get_binary_markets,
 )
+from prediction_market_agent_tooling.tools.utils import utcnow
 
 from prediction_market_agent.agents.crewai_subsequential_agent.crewai_agent_subquestions import (
     CrewAIAgentSubquestions,
@@ -33,7 +34,7 @@ def build_binary_agent_market_from_question(question: str) -> AgentMarket:
     return AgentMarket(
         id=question,
         url=question,
-        close_time=None,
+        close_time=utcnow() + timedelta(days=1),
         volume=None,
         question=question,
         p_yes=Probability(0.5),

prediction_market_agent/agents/crewai_subsequential_agent/deploy.py

@@ -1,5 +1,5 @@
 import random
-
+import typing as t
 from prediction_market_agent_tooling.deploy.agent import DeployableAgent
 from prediction_market_agent_tooling.markets.agent_market import AgentMarket
 from prediction_market_agent_tooling.markets.markets import MarketType
@@ -16,9 +16,10 @@ class DeployableThinkThoroughlyAgent(DeployableAgent):
     def __init__(self) -> None:
         super().__init__()
 
-    def pick_markets(self, markets: list[AgentMarket]) -> list[AgentMarket]:
+    def pick_markets(self, markets: t.Sequence[AgentMarket]) -> t.Sequence[AgentMarket]:
         # We simply pick 5 random markets to bet on
         picked_markets: list[AgentMarket] = []
+        markets = list(markets)
         random.shuffle(markets)
         for market in markets:
             # Assume very high probability markets are already known, and have