Issue #3882 Fixed (#3885)

* Fix plot look when using eval and add query to choices (#3881) * convert index to datetime and update choices * uncomment economy integration test * fix treasury concat bug * fix datasets concat on duplciates * Issue #3882 Fixed * 2 files reformatted by black * tests added * Lock ruff version so that new lints dont break our CI (#3905) * Lock ruff version so that new lints dont break our CI * Bumped pre-commit ruff version * fixed mypy errors Co-authored-by: montezdesousa <79287829+montezdesousa@users.noreply.github.com> Co-authored-by: Colin Delahunty <72827203+colin99d@users.noreply.github.com> Co-authored-by: James Maslek <jmaslek11@gmail.com>
OpenBB-finance · Jan 12, 2023 · 4303bdc · 4303bdc
1 parent 6f473be
commit 4303bdc
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Showing 21 changed files with 2,103 additions and 21 deletions.
diff --git a/openbb_terminal/stocks/stocks_helper.py b/openbb_terminal/stocks/stocks_helper.py
@@ -299,18 +299,16 @@ def load(
 
     start_date = check_datetime(start_date)
     end_date = check_datetime(end_date, start=False)
+    int_string = "Daily"
+    if weekly:
+        int_string = "Weekly"
+    if monthly:
+        int_string = "Monthly"
 
     # Daily
     if int(interval) == 1440:
-
-        int_string = "Daily"
-        if weekly:
-            int_string = "Weekly"
-        if monthly:
-            int_string = "Monthly"
-
         if source == "AlphaVantage":
-            df_stock_candidate = load_stock_av(symbol, start_date, end_date)
+            df_stock_candidate = load_stock_av(symbol, int_string, start_date, end_date)
 
         elif source == "YahooFinance":
             df_stock_candidate = load_stock_yf(
@@ -338,11 +336,18 @@ def load(
         df_stock_candidate.index.name = "date"
         s_start = df_stock_candidate.index[0]
         s_interval = f"{interval}min"
-        int_string = "Daily" if interval == 1440 else "Intraday"
 
     else:
 
-        if source == "YahooFinance":
+        if source == "AlphaVantage":
+            s_start = start_date
+            int_string = "Minute"
+            s_interval = f"{interval}min"
+            df_stock_candidate = load_stock_av(
+                symbol, int_string, start_date, end_date, s_interval
+            )
+
+        elif source == "YahooFinance":
             s_int = str(interval) + "m"
             s_interval = s_int + "in"
             d_granularity = {"1m": 6, "5m": 59, "15m": 59, "30m": 59, "60m": 729}
@@ -429,7 +434,7 @@ def load(
             s_interval = f"{interval}min"
         int_string = "Intraday"
 
-    s_intraday = (f"Intraday {s_interval}", int_string)[interval == 1440]
+    s_intraday = (f"Intraday {interval}min", int_string)[interval == 1440]
 
     if verbose:
         console.print(

diff --git a/openbb_terminal/stocks/stocks_model.py b/openbb_terminal/stocks/stocks_model.py
@@ -18,17 +18,32 @@
 
 
 def load_stock_av(
-    symbol: str, start_date: datetime, end_date: datetime
+    symbol: str,
+    interval: str,
+    start_date: datetime,
+    end_date: datetime,
+    interval_min: str = "1min",
 ) -> pd.DataFrame:
     try:
         ts = TimeSeries(key=cfg.API_KEY_ALPHAVANTAGE, output_format="pandas")
-        df_stock_candidate: pd.DataFrame = ts.get_daily_adjusted(
-            symbol=symbol, outputsize="full"
-        )[0]
+        if interval == "Minute":
+            df_stock_candidate: pd.DataFrame = ts.get_intraday(
+                symbol=symbol, interval=interval_min
+            )[0]
+        elif interval == "Daily":
+            df_stock_candidate = ts.get_daily_adjusted(
+                symbol=symbol, outputsize="full"
+            )[0]
+        elif interval == "Weekly":
+            df_stock_candidate = ts.get_weekly_adjusted(symbol=symbol)[0]
+        elif interval == "Monthly":
+            df_stock_candidate = ts.get_monthly_adjusted(symbol=symbol)[0]
+        else:
+            console.print("Invalid interval specified")
+            return pd.DataFrame()
     except Exception as e:
         console.print(e)
         return pd.DataFrame()
-
     df_stock_candidate.columns = [
         val.split(". ")[1].capitalize() for val in df_stock_candidate.columns
     ]

diff --git a/...stocks/cassettes/test_stocks_helper/test_load_week_or_month[AlphaVantage-False-True].yaml b/...stocks/cassettes/test_stocks_helper/test_load_week_or_month[AlphaVantage-False-True].yaml
@@ -0,0 +1,215 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - python-requests/2.28.1
+    method: GET
+    uri: https://www.alphavantage.co/query?apikey=MOCK_API_KEY&datatype=json&function=TIME_SERIES_MONTHLY_ADJUSTED&symbol=AAPL
+  response:
+    body:
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