Update contributing guide (added a new feature while doing so)

.github/workflows/unit-test.yml

@@ -117,7 +117,10 @@ jobs:
           MPLBACKEND: Agg
         run: |
           source $VENV
-          pytest tests/ --optimization --cov --cov-fail-under=50 --autodoc -n auto --durations=10 --timeout=30
+          pytest tests/ --optimization --cov --cov-fail-under=50 --autodoc -n auto --durations=10 --timeout=30 --cov-report=xml
+
+      - name: Upload coverage reports to Codecov with GitHub Action
+        uses: codecov/codecov-action@v3
 
       - name: Start Terminal and exit
         run: |

openbb_terminal/cryptocurrency/technical_analysis/ta_controller.py

@@ -1,6 +1,6 @@
 """Crypto Technical Analysis Controller Module"""
 __docformat__ = "numpy"
-# pylint: disable=too-many-lines,R0904,C0201
+# pylint: disable=C0302,R0904,C0201
 
 import argparse
 import logging

openbb_terminal/miscellaneous/data_sources_default.json

@@ -251,7 +251,7 @@
       "epsfc": ["SeekingAlpha"],
       "revfc": ["SeekingAlpha"],
       "est": ["BusinessInsider"],
-      "pt": ["BusinessInsider"],
+      "pt": ["BusinessInsider", "FinancialModelingPrep"],
       "dcf": ["StockAnalysis"],
       "dcfc": ["FinancialModelingPrep"]
     },

openbb_terminal/stocks/fundamental_analysis/fa_controller.py

@@ -1782,7 +1782,7 @@ def call_pt(self, other_args: List[str]):
         parser = argparse.ArgumentParser(
             add_help=False,
             prog="pt",
-            description="""Prints price target from analysts. [Source: Business Insider]""",
+            description="""Prints price target from analysts. [Source: Business Insider and Financial Modeling Prep]""",
         )
         parser.add_argument(
             "-t",
@@ -1792,26 +1792,10 @@ def call_pt(self, other_args: List[str]):
             type=str,
             default=None,
         )
-        parser.add_argument(
-            "--raw",
-            action="store_true",
-            dest="raw",
-            help="Only output raw data",
-        )
-        parser.add_argument(
-            "-l",
-            "--limit",
-            action="store",
-            dest="limit",
-            type=check_positive,
-            default=10,
-            help="Limit of latest price targets from analysts to print.",
-        )
-
         if other_args and "-" not in other_args[0][0]:
             other_args.insert(0, "-l")
         ns_parser = self.parse_known_args_and_warn(
-            parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES
+            parser, other_args, EXPORT_BOTH_RAW_DATA_AND_FIGURES, raw=True, limit=10
         )
         if ns_parser:
             if ns_parser.ticker:
@@ -1821,17 +1805,27 @@ def call_pt(self, other_args: List[str]):
                 console.print(no_ticker_message)
                 return
 
-            business_insider_view.price_target_from_analysts(
-                symbol=self.ticker,
-                data=self.stock,
-                start_date=self.start,
-                limit=ns_parser.limit,
-                raw=ns_parser.raw,
-                export=ns_parser.export,
-                sheet_name=" ".join(ns_parser.sheet_name)
-                if ns_parser.sheet_name
-                else None,
-            )
+            if ns_parser.source == "BusinessInsider":
+                business_insider_view.price_target_from_analysts(
+                    symbol=self.ticker,
+                    data=self.stock,
+                    start_date=self.start,
+                    limit=ns_parser.limit,
+                    raw=ns_parser.raw,
+                    export=ns_parser.export,
+                    sheet_name=" ".join(ns_parser.sheet_name)
+                    if ns_parser.sheet_name
+                    else None,
+                )
+            elif ns_parser.source == "FinancialModelingPrep":
+                fmp_view.display_price_targets(
+                    symbol=self.ticker,
+                    limit=ns_parser.limit,
+                    export=ns_parser.export,
+                    sheet_name=" ".join(ns_parser.sheet_name)
+                    if ns_parser.sheet_name
+                    else None,
+                )
 
     @log_start_end(log=logger)
     def call_est(self, other_args: List[str]):

openbb_terminal/stocks/fundamental_analysis/fmp_model.py

@@ -12,7 +12,7 @@
 
 from openbb_terminal.core.session.current_user import get_current_user
 from openbb_terminal.decorators import check_api_key, log_start_end
-from openbb_terminal.helper_funcs import lambda_long_number_format
+from openbb_terminal.helper_funcs import lambda_long_number_format, request
 from openbb_terminal.rich_config import console
 from openbb_terminal.stocks.fundamental_analysis.fa_helper import clean_df_index
 
@@ -779,3 +779,40 @@ def get_rating(symbol: str) -> pd.DataFrame:
     else:
         df = pd.DataFrame()
     return df
+
+
+@log_start_end(log=logger)
+@check_api_key(["API_KEY_FINANCIALMODELINGPREP"])
+def get_price_targets(symbol: str) -> pd.DataFrame:
+    """Get price targets for a company [Source: Financial Modeling Prep]
+
+    Parameters
+    ----------
+    symbol : str
+        Symbol to get data for
+
+    Returns
+    -------
+    pd.DataFrame
+        DataFrame of price targets
+    """
+    current_user = get_current_user()
+
+    url = (
+        "https://financialmodelingprep.com/api/v4/price-target?"
+        f"symbol={symbol}&apikey={current_user.credentials.API_KEY_FINANCIALMODELINGPREP}"
+    )
+    response = request(url)
+
+    # Check if response is valid
+    if response.status_code != 200 or "Error Message" in response.json():
+        message = f"Error, Status Code: {response.status_code}."
+        message = (
+            message
+            if "Error Message" not in response.json()
+            else message + "\n" + response.json()["Error Message"] + ".\n"
+        )
+        console.print(message)
+        return pd.DataFrame()
+
+    return pd.DataFrame(response.json())

openbb_terminal/stocks/fundamental_analysis/fmp_view.py

@@ -3,6 +3,7 @@
 
 import logging
 import os
+from datetime import datetime
 from typing import Optional
 
 import pandas as pd
@@ -817,3 +818,52 @@ def rating(
         df,
         sheet_name,
     )
+
+
+@log_start_end(log=logger)
+@check_api_key(["API_KEY_FINANCIALMODELINGPREP"])
+def display_price_targets(
+    symbol: str, limit: int = 10, export: str = "", sheet_name: Optional[str] = None
+):
+    """Display price targets for a given ticker. [Source: Financial Modeling Prep]
+
+    Parameters
+    ----------
+    symbol : str
+        Symbol
+    limit: int
+        Number of last days ratings to display
+    export: str
+        Export dataframe data to csv,json,xlsx file
+    sheet_name: str
+        Optionally specify the name of the sheet the data is exported to.
+    """
+    columns_to_show = [
+        "publishedDate",
+        "analystCompany",
+        "adjPriceTarget",
+        "priceWhenPosted",
+    ]
+    price_targets = fmp_model.get_price_targets(symbol)
+    if price_targets.empty:
+        console.print(f"[red]No price targets found for {symbol}[/red]\n")
+        return
+    price_targets["publishedDate"] = price_targets["publishedDate"].apply(
+        lambda x: datetime.strptime(x, "%Y-%m-%dT%H:%M:%S.%fZ").strftime(
+            "%Y-%m-%d %H:%M"
+        )
+    )
+    export_data(
+        export,
+        os.path.dirname(os.path.abspath(__file__)),
+        "pt",
+        price_targets,
+        sheet_name,
+    )
+
+    print_rich_table(
+        price_targets[columns_to_show].head(limit),
+        headers=["Date", "Company", "Target", "Posted Price"],
+        show_index=False,
+        title=f"{symbol.upper()} Price Targets",
+    )

tests/openbb_terminal/stocks/fundamental_analysis/txt/test_fa_controller/test_print_help.txt

@@ -35,7 +35,7 @@ Future Expectations:
     epsfc              Earning Estimate by Analysts - EPS                              [SeekingAlpha]
     revfc              Earning Estimate by Analysts - Revenue                          [SeekingAlpha]
     est                quarter and year analysts earnings estimates                    [BusinessInsider]
-    pt                 price targets over time                                         [BusinessInsider]
+    pt                 price targets over time                                         [BusinessInsider, FinancialModelingPrep]
     dcf                advanced Excel customizable discounted cash flow                [StockAnalysis]
     dcfc               determine the (historical) discounted cash flow                 [FinancialModelingPrep]