Merge pull request #274 from valory-xyz/develop

Release v0.14.3

Author: dagacha

run_service.sh

@@ -604,11 +604,6 @@ export CUSTOM_GNOSIS_SAFE_SAME_ADDRESS_MULTISIG_ADDRESS="0x6e7f594f680f7aBad18b7
 export CUSTOM_MULTISEND_ADDRESS="0x40A2aCCbd92BCA938b02010E17A5b8929b49130D"
 export WXDAI_ADDRESS="0xe91D153E0b41518A2Ce8Dd3D7944Fa863463a97d"
 export MECH_CONTRACT_ADDRESS="0x77af31De935740567Cf4fF1986D04B2c964A786a"
-export MECH_WRAPPED_NATIVE_TOKEN_ADDRESS=$WXDAI_ADDRESS
-export DISABLE_TRADING=false
-export STOP_TRADING_IF_STAKING_KPI_MET=true
-export RESET_PAUSE_DURATION=120
-export MECH_CHAIN_ID=ethereum
 
 # check if USE_NEVERMINED is set to true
 if [ "$USE_NEVERMINED" == "true" ];
@@ -1063,8 +1058,15 @@ export OMEN_CREATORS='["0x89c5cc945dd550BcFfb72Fe42BfF002429F46Fec"]'
 # 10 cents minimum bet amount. Also, the bet will not be placed if expected returns - bet_threshold <= 0
 export BET_THRESHOLD=100000000000000000
 export TRADING_STRATEGY=kelly_criterion
+export STRATEGIES_KWARGS='[["bet_kelly_fraction",1],["floor_balance",500000000000000000],["bet_amount_per_threshold",{"0.0":0,"0.1":0,"0.2":0,"0.3":0,"0.4":0,"0.5":0,"0.6":30000000000000000,"0.7":40000000000000000,"0.8":80000000000000000,"0.9":1000000000000000000,"1.0":1000000000000000000}]]'
 export PROMPT_TEMPLATE="Please take over the role of a Data Scientist to evaluate the given question. With the given question \"@{question}\" and the \`yes\` option represented by \`@{yes}\` and the \`no\` option represented by \`@{no}\`, what are the respective probabilities of \`p_yes\` and \`p_no\` occurring?"
-export IRRELEVANT_TOOLS='["claude-prediction-online","prediction-request-reasoning","prediction-online","prediction-offline","prediction-offline-sme","deepmind-optimization", "deepmind-optimization-strong", "openai-gpt-3.5-turbo", "openai-gpt-3.5-turbo-instruct", "openai-gpt-4", "openai-text-davinci-002", "openai-text-davinci-003", "prediction-online-sum-url-content", "prediction-online-summarized-info", "stabilityai-stable-diffusion-512-v2-1", "stabilityai-stable-diffusion-768-v2-1", "stabilityai-stable-diffusion-v1-5", "stabilityai-stable-diffusion-xl-beta-v2-2-2"]'
+export IRRELEVANT_TOOLS='["prediction-request-rag","prediction-request-reasoning-claude","prediction-url-cot-claude","claude-prediction-offline","claude-prediction-online","prediction-offline-sme","deepmind-optimization", "deepmind-optimization-strong", "openai-gpt-3.5-turbo", "openai-gpt-3.5-turbo-instruct", "openai-gpt-4", "openai-text-davinci-002", "openai-text-davinci-003", "prediction-online-sum-url-content", "prediction-online-summarized-info", "stabilityai-stable-diffusion-512-v2-1", "stabilityai-stable-diffusion-768-v2-1", "stabilityai-stable-diffusion-v1-5", "stabilityai-stable-diffusion-xl-beta-v2-2-2"]'
+export STAKING_CONTRACT_ADDRESS=$CUSTOM_STAKING_ADDRESS
+export DISABLE_TRADING=false
+export STOP_TRADING_IF_STAKING_KPI_MET=true
+export RESET_PAUSE_DURATION=120
+export MECH_WRAPPED_NATIVE_TOKEN_ADDRESS=$WXDAI_ADDRESS
+export MECH_CHAIN_ID=ethereum
 
 service_dir="trader_service"
 build_dir="abci_build"

scripts/mech_events.py

@@ -22,6 +22,7 @@
 
 import json
 import os
+import sys
 import time
 from dataclasses import dataclass
 from pathlib import Path
@@ -166,6 +167,12 @@ def _read_mech_events_data_from_file() -> Dict[str, Any]:
     except FileNotFoundError:
         mech_events_data = {}
         mech_events_data["db_version"] = MECH_EVENTS_DB_VERSION
+    except json.decoder.JSONDecodeError:
+        print(
+            f'\nERROR: The local Mech events database "{MECH_EVENTS_JSON_PATH.resolve()}" is corrupted. Please try delete or rename the file, and run the script again.'
+        )
+        sys.exit(1)
+
     return mech_events_data
 
 
@@ -302,7 +309,7 @@ def get_mech_requests(
     all_mech_events = _get_mech_events(sender, MechRequest)
     filtered_mech_events = {}
     for event_id, event_data in all_mech_events.items():
-        block_timestamp = event_data["block_timestamp"]
+        block_timestamp = int(event_data["block_timestamp"])
         if from_timestamp <= block_timestamp <= to_timestamp:
             filtered_mech_events[event_id] = event_data