allow percentages for EconDB as required by user (#2440)

* allow percentages for EconDB as required by user

* minor typo

* fix tests

Co-authored-by: James Maslek <jmaslek11@gmail.com>

openbb_terminal/economy/econdb_model.py

@@ -406,6 +406,15 @@ PARAMETERS = {
     },
 }
 
+TRANSFORM = {
+    "": "No transformation",
+    "TPOP": "total percentage change on period",
+    "TOYA": "total percentage since 1 year ago",
+    "TUSD": "level USD",
+    "TPGP": "Percentage of GDP",
+    "TNOR": "Start = 100",
+}
+
 SCALES = {
     "Thousands": 1_000,
     "Millions": 1_000_000,
@@ -471,6 +480,7 @@ TREASURIES: Dict = {
 def get_macro_data(
     parameter: str,
     country: str,
+    transform: str = "",
     start_date=pd.to_datetime("1900-01-01"),
     end_date=datetime.today().date(),
     currency: str = "",
@@ -483,6 +493,14 @@ def get_macro_data(
         The type of data you wish to display
     country : str
        the selected country
+    transform : str
+        select data transformation from:
+            '' - no transformation
+            'TPOP' - total percentage change on period,
+            'TOYA' - total percentage since 1 year ago,
+            'TUSD' - level USD,
+            'TPGP' - Percentage of GDP,
+            'TNOR' - Start = 100
     start_date : str
         The starting date, format "YEAR-MONTH-DAY", i.e. 2010-12-31.
     end_date : str
@@ -507,14 +525,19 @@ def get_macro_data(
     if parameter not in PARAMETERS:
         console.print(f"The parameter {parameter} is not an option for {country}.")
         return pd.Series(dtype=float), ""
+    if transform not in TRANSFORM:
+        console.print(f"The transform {transform} is not a valid option.")
+        return pd.Series(dtype=float), ""
 
     country_code = COUNTRY_CODES[country]
     country_currency = COUNTRY_CURRENCIES[country]
 
     try:
-        r = requests.get(
-            f"https://www.econdb.com/series/context/?tickers={parameter}{country_code}"
-        )
+        code = f"{parameter}{country_code}"
+        if transform:
+            code += f"~{transform}"
+
+        r = requests.get(f"https://www.econdb.com/series/context/?tickers={code}")
         res_json = r.json()
         if res_json:
             data = res_json[0]
@@ -522,12 +545,14 @@ def get_macro_data(
             units = data["td"]["units"]
 
             df = pd.DataFrame(data["dataarray"])
-            df = (
-                df.set_index(pd.to_datetime(df["date"]))[f"{parameter}{country_code}"]
-                * SCALES[scale]
-            )
+
+            df = df.set_index(pd.to_datetime(df["date"]))[code] * SCALES[scale]
             df = df.sort_index().dropna()
 
+            # Since a percentage is done through differences, the first value is NaN
+            if transform in ["TPOP", "TOYA"]:
+                df = df.iloc[1:]
+
         if not res_json or df.empty:
             console.print(
                 f"No data available for {parameter} ({PARAMETERS[parameter]['name']}) "
@@ -556,7 +581,7 @@ def get_macro_data(
             merged_df = pd.merge_asof(
                 df, currency_data, left_index=True, right_index=True
             )
-            df = merged_df[f"{parameter}{country_code}"] * merged_df["Adj Close"]
+            df = merged_df[code] * merged_df["Adj Close"]
 
             if pd.isna(df).any():
                 df_old_oldest, df_old_newest = df.index[0].date(), df.index[-1].date()
@@ -577,6 +602,18 @@ def get_macro_data(
     return df, units
 
 
+@log_start_end(log=logger)
+def get_macro_transform() -> Dict[str, str]:
+    """This function returns the available macro transform with detail.
+
+    Returns
+    ----------
+    Dict[str]
+        A dictionary with the available macro transforms.
+    """
+    return TRANSFORM
+
+
 @log_start_end(log=logger)
 def get_macro_parameters() -> Dict[str, Dict[str, str]]:
     """This function returns the available macro parameters with detail.
@@ -605,6 +642,7 @@ def get_macro_countries() -> Dict[str, str]:
 def get_aggregated_macro_data(
     parameters: list = None,
     countries: list = None,
+    transform: str = "",
     start_date: str = "1900-01-01",
     end_date=datetime.today().date(),
     currency: str = "",
@@ -617,6 +655,8 @@ def get_aggregated_macro_data(
         The type of data you wish to download. Available parameters can be accessed through get_macro_parameters().
     countries : list
         The selected country or countries. Available countries can be accessed through get_macro_countries().
+    transform : str
+        The selected transform. Available transforms can be accessed through get_macro_transform().
     start_date : str
         The starting date, format "YEAR-MONTH-DAY", i.e. 2010-12-31.
     end_date : str
@@ -647,7 +687,9 @@ def get_aggregated_macro_data(
             (
                 country_data[country][parameter],
                 units[country][parameter],
-            ) = get_macro_data(parameter, country, start_date, end_date, currency)
+            ) = get_macro_data(
+                parameter, country, transform, start_date, end_date, currency
+            )
 
             if country_data[country][parameter].empty:
                 del country_data[country][parameter]

openbb_terminal/economy/econdb_view.py

@@ -26,6 +26,7 @@ logger = logging.getLogger(__name__)
 def show_macro_data(
     parameters: list = None,
     countries: list = None,
+    transform: str = "",
     start_date: str = "1900-01-01",
     end_date: str = str(datetime.today().date()),
     currency: str = "",
@@ -41,6 +42,14 @@ def show_macro_data(
         The type of data you wish to display. Available parameters can be accessed through get_macro_parameters().
     countries : list
         The selected country or countries. Available countries can be accessed through get_macro_countries().
+    transform : str
+        select data transformation from:
+            '' - no transformation
+            'TPOP' - total percentage change on period,
+            'TOYA' - total percentage since 1 year ago,
+            'TUSD' - level USD,
+            'TPGP' - Percentage of GDP,
+            'TNOR' - Start = 100
     start_date : str
         The starting date, format "YEAR-MONTH-DAY", i.e. 2010-12-31.
     end_date : str
@@ -65,7 +74,7 @@ def show_macro_data(
         countries = ["United_States"]
 
     df_rounded, units, denomination = econdb_model.get_aggregated_macro_data(
-        parameters, countries, start_date, end_date, currency
+        parameters, countries, transform, start_date, end_date, currency
     )
 
     if external_axes is None:

openbb_terminal/economy/economy_controller.py

@@ -490,12 +490,19 @@ class EconomyController(BaseController):
             help="The country or countries you wish to show data for",
             default=["United_States"],
         )
+        parser.add_argument(
+            "-t",
+            "--transform",
+            dest="transform",
+            help="The transformation to apply to the data",
+            default="",
+        )
         parser.add_argument(
             "--show",
             dest="show",
             help="Show parameters and what they represent using 'parameters'"
             " or countries and their currencies using 'countries'",
-            choices=["parameters", "countries"],
+            choices=["parameters", "countries", "transform"],
             default=None,
         )
         parser.add_argument(
@@ -537,6 +544,12 @@ class EconomyController(BaseController):
                         show_index=False,
                         headers=["Country", "Currency"],
                     )
+                elif ns_parser.show == "transform":
+                    print_rich_table(
+                        pd.DataFrame(econdb_model.TRANSFORM.items()),
+                        show_index=False,
+                        headers=["Code", "Transform"],
+                    )
                 return self.queue
 
             if ns_parser.parameters and ns_parser.countries:
@@ -545,6 +558,7 @@ class EconomyController(BaseController):
                 (df, units, _) = econdb_model.get_aggregated_macro_data(
                     parameters=ns_parser.parameters,
                     countries=ns_parser.countries,
+                    transform=ns_parser.transform,
                     start_date=ns_parser.start_date,
                     end_date=ns_parser.end_date,
                     currency=ns_parser.currency,
@@ -553,6 +567,9 @@ class EconomyController(BaseController):
                 if not df.empty:
                     df.columns = ["_".join(column) for column in df.columns]
 
+                    if ns_parser.transform:
+                        df.columns = [df.columns[0] + f"_{ns_parser.transform}"]
+
                     self.DATASETS["macro"] = pd.concat([self.DATASETS["macro"], df])
 
                     # update units dict
@@ -571,6 +588,7 @@ class EconomyController(BaseController):
                     econdb_view.show_macro_data(
                         parameters=ns_parser.parameters,
                         countries=ns_parser.countries,
+                        transform=ns_parser.transform,
                         start_date=ns_parser.start_date,
                         end_date=ns_parser.end_date,
                         currency=ns_parser.currency,
@@ -1144,7 +1162,17 @@ class EconomyController(BaseController):
                             if variable in data.columns:
                                 if key == "macro":
                                     split = variable.split("_")
-                                    if len(split) == 2:
+                                    transform = ""
+                                    if (
+                                        len(split) == 3
+                                        and split[2] in econdb_model.TRANSFORM
+                                    ):
+                                        (
+                                            country,
+                                            parameter_abbreviation,
+                                            transform,
+                                        ) = split
+                                    elif len(split) == 2:
                                         country, parameter_abbreviation = split
                                     else:
                                         country = f"{split[0]} {split[1]}"
@@ -1156,8 +1184,14 @@ class EconomyController(BaseController):
                                     units = self.UNITS[country.replace(" ", "_")][
                                         parameter_abbreviation
                                     ]
+                                    if transform:
+                                        transformtype = (
+                                            f" ({econdb_model.TRANSFORM[transform]}) "
+                                        )
+                                    else:
+                                        transformtype = " "
                                     dataset_yaxis1[
-                                        f"{country} [{parameter}, Units: {units}]"
+                                        f"{country}{transformtype}[{parameter}, Units: {units}]"
                                     ] = data[variable]
                                 elif key == "fred":
                                     dataset_yaxis1[self.FRED_TITLES[variable]] = data[
@@ -1180,8 +1214,8 @@ class EconomyController(BaseController):
                                 break
                     if dataset_yaxis1.empty:
                         return console.print(
-                            f"Not able to find any data for the --y1 argument. The currently available "
-                            f"options are: {', '.join(self.choices['plot']['--y1'])}"
+                            f"[/red]Not able to find any data for the --y1 argument. The currently available "
+                            f"options are: {', '.join(self.choices['plot']['--y1'])}[/red]\n"
                         )
 
                 if ns_parser.yaxis2:
@@ -1190,7 +1224,17 @@ class EconomyController(BaseController):
                             if variable in data.columns:
                                 if key == "macro":
                                     split = variable.split("_")
-                                    if len(split) == 2:
+                                    transform = ""
+                                    if (
+                                        len(split) == 3
+                                        and split[2] in econdb_model.TRANSFORM
+                                    ):
+                                        (
+                                            country,
+                                            parameter_abbreviation,
+                                            transform,
+                                        ) = split
+                                    elif len(split) == 2:
                                         country, parameter_abbreviation = split
                                     else:
                                         country = f"{split[0]} {split[1]}"
@@ -1202,8 +1246,14 @@ class EconomyController(BaseController):
                                     units = self.UNITS[country.replace(" ", "_")][
                                         parameter_abbreviation
                                     ]
+                                    if transform:
+                                        transformtype = (
+                                            f" ({econdb_model.TRANSFORM[transform]}) "
+                                        )
+                                    else:
+                                        transformtype = " "
                                     dataset_yaxis2[
-                                        f"{country} [{parameter}, Units: {units}]"
+                                        f"{country}{transformtype}[{parameter}, Units: {units}]"
                                     ] = data[variable]
                                 elif key == "fred":
                                     dataset_yaxis2[self.FRED_TITLES[variable]] = data[
@@ -1226,8 +1276,8 @@ class EconomyController(BaseController):
                                 break
                     if dataset_yaxis2.empty:
                         return console.print(
-                            f"Not able to find any data for the --y2 argument. The currently available "
-                            f"options are: {', '.join(self.choices['plot']['--y2'])}"
+                            f"[/red]Not able to find any data for the --y2 argument. The currently available "
+                            f"options are: {', '.join(self.choices['plot']['--y2'])}[/red]\n"
                         )
 
                 if ns_parser.yaxis1 or ns_parser.yaxis2:

tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters0-countries0--2020-01-01-2020-10-10-False].yaml

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+      NEL:
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tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_aggregated_macro_data[parameters0-countries0-2020-01-01-2020-10-10-False].yaml

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tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[EMP-Germany--2020-01-01-2020-10-10-False].yaml

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tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[EMP-Germany-2020-01-01-2020-10-10-False].yaml

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tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[GDP-France--2015-01-01-2020-10-10-False].yaml

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tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_macro_data[GDP-France-2015-01-01-2020-10-10-False].yaml

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-      Content-Encoding:
-      - gzip
-      Content-Type:
-      - application/json
-      Date:
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-      Expect-CT:
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-      NEL:
-      - '{"success_fraction":0,"report_to":"cf-nel","max_age":604800}'
-      Referrer-Policy:
-      - same-origin
-      Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=MIlrRpiHTcIw9QJex18hOg%2BD5g3%2F%2FU3LMJFKeddoac%2Fd8o9me%2Fkg41%2Bm15%2BHtltAT3QCUqY6LrgXBI2B10VGOYwyGmBuSMeov66t2kSFXxuWKOGMARU4rzkWP122vy%2FB"}],"group":"cf-nel","max_age":604800}'
-      Server:
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-      Transfer-Encoding:
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-      Vary:
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-      - Origin
-      X-Content-Type-Options:
-      - nosniff
-      X-Frame-Options:
-      - DENY
-    status:
-      code: 200
-      message: OK
-version: 1

tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments0-maturities0-monthly-2020-01-01-2020-04-05].yaml

@@ -33,11 +33,11 @@ interactions:
         bafVlt6Hw2p//19lqLPeUVPv73FWdc7FzBn3d6/e75/+A+4OHb2OIAAA
     headers:
       Allow:
-      - GET, POST, HEAD, OPTIONS
+      - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ef634864e9a0c65-AMS
+      - 741879492d457786-LHR
       Connection:
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       Content-Encoding:
@@ -45,7 +45,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 21 Mar 2022 11:04:10 GMT
+      - Sat, 27 Aug 2022 23:09:15 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -53,7 +53,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=UZ%2BNGEcvMUbngRfEkdFDu6pSPyYAeE2XXz%2BjkWeMj6X3DMC5dBh%2BV1i8ZvcM8q9fiGmunn67jjxhX8jC%2FMNWBDgNRR%2BvqWVwuFTvA73VQ6SnanVmWamL5%2B9FUdjzODKg"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=FaTnLjtj1%2BH%2FODwunff%2FBC7RuknBp7S5GAzhaq44akEMsfsDhxTqRfpPS%2FupUGD6%2FxU7aBsmqG494EZ4WHSnx7HNa4TJccYQSh%2B8CAhf9oDnrksGC9HsqW74N29j1GvAPfMbEQbg%2BLNEkuTX"}],"group":"cf-nel","max_age":604800}'
       Server:
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       Transfer-Encoding:
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     headers:
       Allow:
-      - GET, POST, HEAD, OPTIONS
+      - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ef6348b8baf976d-AMS
+      - 7418794f49160085-LHR
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       Content-Encoding:
@@ -110,7 +110,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 21 Mar 2022 11:04:11 GMT
+      - Sat, 27 Aug 2022 23:09:16 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -118,7 +118,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=cO6GsCp4m6Ta7%2FrZUegzaxTNwqfspvmo24EyVRJVBQ%2BjqVI9H%2F5URgMbb8mmSAmKc8X86YXG6fc0gM5O3H6hnqDupHKXVKuZqNj8hha3Xn2adExeOMBKJuolxLgJaNh2"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=CG1gISs9PK1gb%2Fh9NLj4S0AXlo%2F6CQwZ6%2BQPRxMznClCQve%2F9nW5zs%2BTbBkbWM73Ys6F9XM8j5HmTf3guqMlYzuxQhf0zLNWNLDBjMRKCxs4ZZwQfcnMdwlcgMNicgHLkh1aE0XShfWd0iwo"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
       Transfer-Encoding:

tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments1-maturities1-annually-2015-01-04-2015-01-28].yaml

@@ -30,11 +30,11 @@ interactions:
         3dLGdm9tabe1pS3xHm6ZrixtqXXPcG08wwf7j65irfcZrrXPcO0/neH3xx9KFFlAtBwAAA==
     headers:
       Allow:
-      - GET, POST, HEAD, OPTIONS
+      - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ef6348e78f85953-AMS
+      - 7418795288c975dd-LHR
       Connection:
       - keep-alive
       Content-Encoding:
@@ -42,7 +42,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 21 Mar 2022 11:04:11 GMT
+      - Sat, 27 Aug 2022 23:09:17 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -50,7 +50,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=pBO7yrOGsxR80hCNOlUKvNCcot63YjVLIgsHpVOgrdG2%2BUK%2B89uEZcrwZlfMlzaWdVKxMlPou90C1c7lI06zmvNHW5Nmh25bzCpIOQWGW3uZOEgiFAtm9Dsh63Q%2BTZse"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=qGEbT%2BkAS%2BHCVNcuaC0mB7KNt1T7Gva2k0lRAcc9Zg3gpml1Kl2yHJF%2BC54l39lqxi%2B%2BxeIMV5Va%2BHPCp0LrtuwJKhzuknbqZSmsHxMWT2BFLIxwKbLJTDfMO4l1HtHMbjeIN1UyQdn0u42Q"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
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tests/openbb_terminal/economy/cassettes/test_econdb_model/test_get_treasuries[instruments2-maturities2-weekly-2018-06-05-2018-07-06].yaml

@@ -27,11 +27,11 @@ interactions:
         emcDAAA=
     headers:
       Allow:
-      - GET, POST, HEAD, OPTIONS
+      - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ef634918aad417e-AMS
+      - 74187957ee8b06e9-LHR
       Connection:
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       Content-Encoding:
@@ -39,7 +39,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 21 Mar 2022 11:04:12 GMT
+      - Sat, 27 Aug 2022 23:09:17 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -47,7 +47,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=A8BWBJuMNGUDgbepsT6wAGDOjGnOG8D7ySaWeXqAhVY2TTT%2F%2BO4QTmCVMFFPGcVmbmov5IxERXRcl9hjXcnymeI4ClzmSZh%2F5ZL2u%2Fer%2FCZfBJqO249EfMtCrk1eLXgr"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=FjhIrbgjxLGKyw76ZrOsBEyJsWaoL81BXFHjXY2q102cCKhPAHE68QHug%2FIr1YaIFKHfLgNJmsUMe%2BhnAgRZJRZRfnqwY%2BF2pcBaMGHd6SVemaluSiBh4gBcFaBwZYbuYWf8yWq1248EJW2f"}],"group":"cf-nel","max_age":604800}'
       Server:
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       Transfer-Encoding:
@@ -92,11 +92,11 @@ interactions:
         5Wb9BwdL7PYxEAAA
     headers:
       Allow:
-      - GET, POST, HEAD, OPTIONS
+      - GET, HEAD, OPTIONS
       CF-Cache-Status:
       - DYNAMIC
       CF-RAY:
-      - 6ef63493d956d919-AMS
+      - 7418795a481076a4-LHR
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       Content-Encoding:
@@ -104,7 +104,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Mon, 21 Mar 2022 11:04:12 GMT
+      - Sat, 27 Aug 2022 23:09:18 GMT
       Expect-CT:
       - max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
       NEL:
@@ -112,7 +112,7 @@ interactions:
       Referrer-Policy:
       - same-origin
       Report-To:
-      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=k0PSqA8jc4xHzYLRwrcXZXFYLK629oFKw3cMvwRKyECU1QIyv7nCdAccNvxcBbtiRMHjBLkymNuuznndjFcOPfsZa2FDQ7B8mtJ8G1fQIQFdaKWUmFFpSdFWewlktaCE"}],"group":"cf-nel","max_age":604800}'
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v3?s=5oXfTRJbuBRtLTZNEsxJxfjzd84gvSlvR1k9t%2BuJCn8e%2BxgKMuEj2nJtOWn%2B089K%2B%2Bs4YxoE3MsAN5DHHrvXKu%2FtwIo57cK5FQqLk%2Br4k9VjZOZasIG7n3TZQ%2F6eS3vRkP3ignlyDryAmQKI"}],"group":"cf-nel","max_age":604800}'
       Server:
       - cloudflare
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tests/openbb_terminal/economy/test_econdb_model.py

@@ -8,16 +8,18 @@ from openbb_terminal.economy import econdb_model
 
 @pytest.mark.vcr
 @pytest.mark.parametrize(
-    "parameter, country, start_date, end_date, convert_currency",
+    "parameter, country, transform, start_date, end_date, convert_currency",
     [
-        ["RGDP", "United States", "2005-05-05", "2006-01-01", False],
-        ["EMP", "Germany", "2020-01-01", "2020-10-10", False],
-        ["GDP", "France", "2015-01-01", "2020-10-10", False],
+        ["RGDP", "United States", "", "2005-05-05", "2006-01-01", False],
+        ["EMP", "Germany", "", "2020-01-01", "2020-10-10", False],
+        ["GDP", "France", "", "2015-01-01", "2020-10-10", False],
     ],
 )
-def test_get_macro_data(parameter, country, start_date, end_date, convert_currency):
+def test_get_macro_data(
+    parameter, country, transform, start_date, end_date, convert_currency
+):
     result_df, units = econdb_model.get_macro_data(
-        parameter, country, start_date, end_date, convert_currency
+        parameter, country, transform, start_date, end_date, convert_currency
     )
 
     assert isinstance(result_df, pd.Series)
@@ -27,18 +29,25 @@ def test_get_macro_data(parameter, country, start_date, end_date, convert_curren
 
 @pytest.mark.vcr
 @pytest.mark.parametrize(
-    "parameters, countries, start_date, end_date, convert_currency",
+    "parameters, countries, transform, start_date, end_date, convert_currency",
     [
-        [["RGDP"], ["United States", "Germany"], "2020-01-01", "2020-10-10", False],
-        [["EMP", "PPI"], ["France"], "2018-01-01", "2019-01-01", False],
-        [["RGDP", "GDP"], ["Italy", "Netherlands"], "2010-01-01", "2010-10-08", False],
+        [["RGDP"], ["United States", "Germany"], "", "2020-01-01", "2020-10-10", False],
+        [["EMP", "PPI"], ["France"], "", "2018-01-01", "2019-01-01", False],
+        [
+            ["RGDP", "GDP"],
+            ["Italy", "Netherlands"],
+            "",
+            "2010-01-01",
+            "2010-10-08",
+            False,
+        ],
     ],
 )
 def test_get_aggregated_macro_data(
-    parameters, countries, start_date, end_date, convert_currency
+    parameters, countries, transform, start_date, end_date, convert_currency
 ):
     result_df, units, denomination = econdb_model.get_aggregated_macro_data(
-        parameters, countries, start_date, end_date, convert_currency
+        parameters, countries, transform, start_date, end_date, convert_currency
     )
 
     assert isinstance(result_df, pd.DataFrame)