import os
from datetime import date
from artemis import Artemis

client = Artemis()
response = client.equity.fetch_valuation_metrics(
    api_key=os.environ["ARTEMIS_API_KEY"],
    symbols="eq-nvda",
    start_date=date(2024, 1, 1),
    end_date=date(2024, 12, 31),
)

# Latest reading for each valuation ratio:
metrics = response.data.symbols["eq-nvda"]
headline = {
    "ENTERPRISE_VALUE_DIVIDE_TOTAL_REVENUE": "EV / Revenue",
    "ENTERPRISE_VALUE_DIVIDE_NET_INCOME": "EV / Earnings",
    "ENTERPRISE_VALUE_DIVIDE_EBITDA": "EV / EBITDA",
    "EARNINGS_YIELD": "Earnings Yield (%)",
    "FCF_YIELD": "FCF Yield (%)",
}
for key, label in headline.items():
    series = metrics.get(key) or []
    if series:
        print(f"{label:25} {series[-1].val:.2f}")

{
  "data": {
    "symbols": {
      "eq-nvda": {
        "ENTERPRISE_VALUE_DIVIDE_TOTAL_REVENUE": [
          {
            "date": "2024-09-30",
            "val": 26.38
          },
          {
            "date": "2024-10-01",
            "val": 26.21
          }
        ],
        "ENTERPRISE_VALUE_DIVIDE_NET_INCOME": [
          {
            "date": "2024-09-30",
            "val": 47.37
          },
          {
            "date": "2024-10-01",
            "val": 47.06
          }
        ],
        "ENTERPRISE_VALUE_DIVIDE_EBITDA": [
          {
            "date": "2024-09-30",
            "val": 40.94
          },
          {
            "date": "2024-10-01",
            "val": 40.68
          }
        ],
        "EARNINGS_YIELD": [
          {
            "date": "2024-09-30",
            "val": 2.12
          },
          {
            "date": "2024-10-01",
            "val": 2.13
          }
        ]
      }
    }
  }
}