Add new round and behavior with API integration

[PriyanshuVijay-S]

Overview

This pull request introduces a new EvaluationRound designed to enhance the market trend analysis capabilities of our learning ABCI agents. By comparing current and historical prices, the agents can make more informed decisions based on market trends. The implementation extends across multiple components of the agent framework and introduces a new API integration.

Changes

The changes include modifications to several files across different folders to integrate the new business logic effectively:

Modified Files

• skill/learning_abci/:

  • fsm_specification.yaml
  • round.py
  • behaviours.py
  • module.py
  • payload.py
  • skill.yaml

• agents/:

  • aea-config.yaml

• services/:

  • service.yaml

• skills/learning_chained_abci/:

  • fsm_specification.yaml
  • module.py
  • skill.yaml

API Integration

Implemented a new API call coingecko_pricehistorydata_specs using ApiSpecs to fetch market data from CoinGecko (https://api.coingecko.com/api/v3/coins/autonolas/market_chart). This integration helps in fetching historical price data essential for the evaluation round.

New Classes

• EvaluationBehaviour in behaviours.py
• EvaluationRound in round.py
• EvaluationPayload in payload.py
• Coingeckopricehistorydataspecs in module.py

Impact

The introduction of EvaluationRound allows agents to assess market conditions more accurately by reaching a consensus on the current price and comparing it with historical data. This strategic enhancement supports better decision-making processes in market-sensitive environments.