Testing Ethereum Price Validation in AutoGPT
This test suite validates Ethereum price data retrieval and accuracy verification in Python. It ensures proper formatting of price values and validates them against real-time market data with specified tolerance levels.
Test Coverage Overview
Implementation Analysis
Technical Details
Best Practices Demonstrated
significant-gravitas/autogpt
classic/benchmark/agbenchmark/challenges/library/ethereum/check_price/artifacts_out/test.py
import re
from .sample_code import get_ethereum_price
def test_get_ethereum_price() -> None:
# Read the Ethereum price from the file
with open("output.txt", "r") as file:
eth_price = file.read().strip()
# Validate that the eth price is all digits
pattern = r"^\d+$"
matches = re.match(pattern, eth_price) is not None
assert (
matches
), f"AssertionError: Ethereum price should be all digits, but got {eth_price}"
# Get the current price of Ethereum
real_eth_price = get_ethereum_price()
# Convert the eth price to a numerical value for comparison
eth_price_value = float(eth_price)
real_eth_price_value = float(real_eth_price)
# Check if the eth price is within $50 of the actual Ethereum price
assert abs(real_eth_price_value - eth_price_value) <= 50, (
"AssertionError: Ethereum price is not within $50 of the actual Ethereum price "
f"(Provided price: ${eth_price}, Real price: ${real_eth_price})"
)
print("Matches")
if __name__ == "__main__":
test_get_ethereum_price()