hotfix/gdp-units - better GDP units (#5262)

* better GDP units

* mypy

* remove not needed dict

* test_oecd_view.py

* test_oecd_model.py

openbb_terminal/economy/economy_controller.py

@@ -596,9 +596,9 @@ class EconomyController(BaseController):
             "--units",
             type=str,
             dest="units",
-            help="Use either USD_CAP (US dollars per capita) or MLN_USD (millions of US dollars)",
-            choices=["USD_CAP", "MLN_USD"],
-            default="USD_CAP",
+            help="Use either USD or USD_CAP (USD Per Capita)",
+            choices=["USD", "USD_CAP"],
+            default="USD",
         )
 
         parser.add_argument(

openbb_terminal/economy/oecd_model.py

@@ -473,8 +473,8 @@ def no_data_message(error: str):
 
 @log_start_end(log=logger)
 def get_gdp(
-    countries: Optional[List[str]],
-    units: str = "USD_CAP",
+    countries: Optional[str] = "united_states",
+    units: str = "USD",
     start_date="",
     end_date="",
 ) -> pd.DataFrame:
@@ -496,7 +496,7 @@ def get_gdp(
     countries: list
         List of countries to get data for
     units: str
-        Units to get data in. Either 'USD_CAP' or 'MLN_USD'.
+        Units to get data in. Either 'USD' or 'USD_CAP'.
         Default is US dollars per capita.
     start_date: str
         Start date of data, in YYYY-MM-DD format
@@ -518,17 +518,21 @@ def get_gdp(
     if isinstance(end_date, datetime):
         end_date = end_date.date()
 
-    if units not in ["USD_CAP", "MLN_USD"]:
-        return console.print(
-            "Use either USD_CAP (US dollars per capita) "
-            "or MLN_USD (millions of US dollars) for units"
+    units_dict = {"USD": "MLN_USD", "USD_CAP": "USD_CAP"}
+
+    if units not in units_dict:
+        console.print(
+            "Invalid choice, choices are either USD or USD_CAP. Defaulting to USD."
         )
+        units = "USD"
+
+    countries = [countries] if isinstance(countries, str) else countries  # type: ignore[assignment]
 
     df = pd.DataFrame()
 
     try:
         df = pd.read_csv(
-            f"https://stats.oecd.org/sdmx-json/data/DP_LIVE/.GDP.TOT.{units}.A/OECD?contentType=csv&detail=code"
+            f"https://stats.oecd.org/sdmx-json/data/DP_LIVE/.GDP.TOT.{units_dict[units]}.A/OECD?contentType=csv&detail=code"
             f"&separator=comma&csv-lang=en&startPeriod={start_date}&endPeriod={end_date}",
             index_col=5,
         )
@@ -552,6 +556,7 @@ def get_gdp(
 
     result.index = pd.to_datetime(result.index, format="%Y")
     result.sort_index(inplace=True)
+    result = result * 1000000 if units == "USD" else result
 
     return result
 

openbb_terminal/economy/oecd_view.py

@@ -21,19 +21,19 @@ YAXIS_TITLES = {
     "AGRWTH": "Annual Growth Rate (%)",
     "IDX": "Index (Base = 2015)",
     "IDX2015": "Index (Base = 2015)",
-    "MLN_USD": "Millions of US Dollars",
+    "USD": "Nominal Value in USD",
     "PC_CHGPY": "Same Quarter of the Previous Year (% Change)",
     "PC_CHGPP": "Previous Quarter (% Change)",
     "PC_GDP": "Percentage of GDP (%)",
     "THND_USD_CAP": "Thousands of USD per Capita",
-    "USD_CAP": "US Dollars per Capita",
+    "USD_CAP": "USD per Capita",
 }
 
 
 @log_start_end(log=logger)
 def plot_gdp(
-    countries: Optional[List[str]],
-    units: str = "USD_CAP",
+    countries: Optional[str] = "united_states",
+    units: str = "USD",
     start_date: str = "",
     end_date: str = "",
     raw: bool = False,
@@ -59,7 +59,7 @@ def plot_gdp(
     countries: list
         List of countries to get data for
     units: str
-        Units to get data in. Either 'USD_CAP' or 'MLN_USD'.
+        Units to get data in. Either 'USD' or 'USD_CAP'.
         Default is US dollars per capita.
     start_date: str
         Start date of data, in YYYY-MM-DD format
@@ -79,11 +79,13 @@ def plot_gdp(
     Union[OpenBBFigure, None]
         OpenBBFigure object if external_axes is True, else None (opens plot in a window)
     """
-    if units not in ["USD_CAP", "MLN_USD"]:
-        return console.print(
-            "Use either USD_CAP (US dollars per capita) "
-            "or MLN_USD (millions of US dollars) for units"
+    countries = [countries] if isinstance(countries, str) else countries  # type: ignore[assignment]
+
+    if units not in ["USD", "USD_CAP"]:
+        console.print(
+            "Invalid choice, choices are either USD or USD_CAP. Defaulting to USD."
         )
+        units = "USD"
 
     df = oecd_model.get_gdp(countries, units, start_date, end_date)
 
@@ -102,7 +104,8 @@ def plot_gdp(
             showlegend=True,
         )
 
-    title = "Nominal Gross Domestic Product (GDP)"
+    title = "Nominal Gross Domestic Product (USD)"
+    title = title + " Per Capita" if units == "USD_CAP" else title
     fig.set_title(title)
 
     if raw:

tests/openbb_terminal/economy/csv/test_oecd_model/test_get_gdp.csv

@@ -1,3 +1,3 @@
 TIME,united_states,canada
-2020-01-01,63480.861222,47265.698235
-2021-01-01,70181.12175,53101.315002
+2020-01-01,21060474000000.0,1794940001000.0
+2021-01-01,23315081000000.0,2026899115000.0

tests/openbb_terminal/economy/test_economy_controller.py

@@ -609,7 +609,7 @@ def test_call_func_expect_queue(expected_queue, func, queue):
                 countries=["united states"],
                 start_date=datetime.datetime(2021, 1, 1, 0, 0),
                 end_date=datetime.datetime(2023, 1, 1, 0, 0),
-                units="USD_CAP",
+                units="USD",
                 raw=False,
                 export="csv",
                 sheet_name=None,

tests/openbb_terminal/economy/test_oecd_model.py

@@ -11,8 +11,8 @@ def test_get_gdp(recorder):
     """Test get_gdp"""
     data = oecd_model.get_gdp(
         countries=["united_states", "canada"],
-        start_date=datetime.strptime("2020-01-01", "%Y-%m-%d"),
-        end_date=datetime.strptime("2022-01-31", "%Y-%m-%d"),
+        start_date="2020-01-01",
+        end_date="2022-01-31",
     )
     assert isinstance(data, pd.DataFrame)
     recorder.capture(data)

tests/openbb_terminal/economy/test_oecd_view.py

@@ -9,7 +9,10 @@ from openbb_terminal.economy import oecd_view
 @pytest.mark.parametrize(
     "countries, kwargs",
     [
-        (["united_states"], {"start_date": "2019-01-01", "end_date": "2021-12-31"}),
+        (
+            ["united_states"],
+            {"units": "USD_CAP", "start_date": "2019-01-01", "end_date": "2021-12-31"},
+        ),
     ],
 )
 def test_plot_gdp(countries, kwargs):