Add more specific error throwing based on PR 1918

README.md

@@ -116,7 +116,7 @@ msft.recommendations
 msft.recommendations_summary
 msft.upgrades_downgrades
 
-# Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default. 
+# Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default.
 # Note: If more are needed use msft.get_earnings_dates(limit=XX) with increased limit argument.
 msft.earnings_dates
 
@@ -183,7 +183,7 @@ data = yf.download("SPY AAPL", period="1mo")
 
 ### Smarter scraping
 
-Install the `nospam` packages for smarter scraping using `pip` (see [Installation](#installation)). These packages help cache calls such that Yahoo is not spammed with requests. 
+Install the `nospam` packages for smarter scraping using `pip` (see [Installation](#installation)). These packages help cache calls such that Yahoo is not spammed with requests.
 
 To use a custom `requests` session, pass a `session=` argument to
 the Ticker constructor. This allows for caching calls to the API as well as a custom way to modify requests via  the `User-agent` header.
@@ -231,11 +231,13 @@ yfinance?](https://stackoverflow.com/questions/63107801)
 ### Persistent cache store
 
 To reduce Yahoo, yfinance store some data locally: timezones to localize dates, and cookie. Cache location is:
+
 - Windows = C:/Users/\<USER\>/AppData/Local/py-yfinance
 - Linux = /home/\<USER\>/.cache/py-yfinance
 - MacOS = /Users/\<USER\>/Library/Caches/py-yfinance
 
 You can direct cache to use a different location with `set_tz_cache_location()`:
+
 ```python
 import yfinance as yf
 yf.set_tz_cache_location("custom/cache/location")
@@ -262,7 +264,7 @@ intended for research and educational purposes. You should refer to Yahoo!'s ter
 ([here](https://policies.yahoo.com/us/en/yahoo/terms/product-atos/apiforydn/index.htm),
 [here](https://legal.yahoo.com/us/en/yahoo/terms/otos/index.html), and
 [here](https://policies.yahoo.com/us/en/yahoo/terms/index.htm)) for
-detailes on your rights to use the actual data downloaded.
+details on your rights to use the actual data downloaded.
 
 ---
 

tests/prices.py → tests/test_prices.py

@@ -43,14 +43,14 @@ def test_download(self):
 
             df_tkrs = df.columns.levels[1]
             self.assertEqual(sorted(tkrs), sorted(df_tkrs))
-    
+
     def test_download_with_invalid_ticker(self):
         #Checks if using an invalid symbol gives the same output as not using an invalid symbol in combination with a valid symbol (AAPL)
         #Checks to make sure that invalid symbol handling for the date column is the same as the base case (no invalid symbols)
 
         invalid_tkrs = ["AAPL", "ATVI"] #AAPL exists and ATVI does not exist
         valid_tkrs = ["AAPL", "INTC"] #AAPL and INTC both exist
-        
+
         data_invalid_sym = yf.download(invalid_tkrs, start='2023-11-16', end='2023-11-17')
         data_valid_sym = yf.download(valid_tkrs, start='2023-11-16', end='2023-11-17')
 

tests/ticker.py → tests/test_ticker.py

@@ -12,7 +12,7 @@
 
 from .context import yfinance as yf
 from .context import session_gbl
-from yfinance.exceptions import YFNotImplementedError
+from yfinance.exceptions import YFChartError, YFInvalidPeriodError, YFNotImplementedError, YFPricesMissingError, YFTickerMissingError, YFTzMissingError
 
 
 import unittest
@@ -129,6 +129,30 @@ def test_badTicker(self):
         assert isinstance(dat.actions, pd.DataFrame)
         assert dat.actions.empty
 
+    def test_invalid_period(self):
+        tkr = 'VALE'
+        dat = yf.Ticker(tkr, session=self.session)
+        with self.assertRaises(YFInvalidPeriodError):
+            dat.history(period="2wks", interval="1d", raise_errors=True)
+        with self.assertRaises(YFInvalidPeriodError):
+            dat.history(period="2mo", interval="1d", raise_errors=True)
+
+
+    def test_prices_missing(self):
+        # this test will need to be updated every time someone wants to run a test
+        # hard to find a ticker that matches this error other than options
+        # META call option, 2024 April 26th @ strike of 180000
+        tkr = 'META240426C00180000'
+        dat = yf.Ticker(tkr, session=self.session)
+        with self.assertRaises(YFPricesMissingError):
+            dat.history(period="5d", interval="1m", raise_errors=True)
+
+    def test_ticker_missing(self):
+        tkr = 'ATVI'
+        dat = yf.Ticker(tkr, session=self.session)
+        # A missing ticker can trigger either a niche error or the generalized error
+        with self.assertRaises((YFTickerMissingError, YFTzMissingError, YFChartError)):
+            dat.history(period="3mo", interval="1d", raise_errors=True)
 
     def test_goodTicker(self):
         # that yfinance works when full api is called on same instance of ticker
@@ -150,8 +174,8 @@ def test_goodTicker(self):
                 dat.fast_info[k]
 
             for attribute_name, attribute_type in ticker_attributes:
-                assert_attribute_type(self, dat, attribute_name, attribute_type) 
-            
+                assert_attribute_type(self, dat, attribute_name, attribute_type)
+
     def test_goodTicker_withProxy(self):
         tkr = "IBM"
         dat = yf.Ticker(tkr, session=self.session, proxy=self.proxy)
@@ -163,7 +187,7 @@ def test_goodTicker_withProxy(self):
         for attribute_name, attribute_type in ticker_attributes:
             assert_attribute_type(self, dat, attribute_name, attribute_type)
 
-        
+
 class TestTickerHistory(unittest.TestCase):
     session = None
 
@@ -370,7 +394,7 @@ def test_insider_transactions(self):
 
         data_cached = self.ticker.insider_transactions
         self.assertIs(data, data_cached, "data not cached")
-    
+
     def test_insider_purchases(self):
         data = self.ticker.insider_purchases
         self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
@@ -402,9 +426,9 @@ def tearDownClass(cls):
 
     def setUp(self):
         self.ticker = yf.Ticker("GOOGL", session=self.session)
-        
-        # For ticker 'BSE.AX' (and others), Yahoo not returning 
-        # full quarterly financials (usually cash-flow) with all entries, 
+
+        # For ticker 'BSE.AX' (and others), Yahoo not returning
+        # full quarterly financials (usually cash-flow) with all entries,
         # instead returns a smaller version in different data store.
         self.ticker_old_fmt = yf.Ticker("BSE.AX", session=self.session)
 
@@ -713,7 +737,7 @@ def tearDownClass(cls):
 
     def setUp(self):
         self.ticker = yf.Ticker("GOOGL", session=self.session)
-        
+
     def tearDown(self):
         self.ticker = None
 
@@ -813,7 +837,6 @@ def test_complementary_info(self):
         # This one should have a trailing PEG ratio
         data2 = self.tickers[2].info
         self.assertIsInstance(data2['trailingPegRatio'], float)
-        pass
 
     # def test_fast_info_matches_info(self):
     #     fast_info_keys = set()
@@ -851,7 +874,7 @@ def test_complementary_info(self):
     #             key_rename_map[yf.utils.snake_case_2_camelCase(k)] = key_rename_map[k]
 
     #     # Note: share count items in info[] are bad. Sometimes the float > outstanding!
-    #     # So often fast_info["shares"] does not match. 
+    #     # So often fast_info["shares"] does not match.
     #     # Why isn't fast_info["shares"] wrong? Because using it to calculate market cap always correct.
     #     bad_keys = {"shares"}
 

yfinance/base.py

@@ -32,6 +32,7 @@
 
 from . import utils, cache
 from .data import YfData
+from .exceptions import YFEarningsDateMissing
 from .scrapers.analysis import Analysis
 from .scrapers.fundamentals import Fundamentals
 from .scrapers.holders import Holders
@@ -192,7 +193,7 @@ def get_mutualfund_holders(self, proxy=None, as_dict=False):
             if as_dict:
                 return data.to_dict()
             return data
-    
+
     def get_insider_purchases(self, proxy=None, as_dict=False):
         self._holders.proxy = proxy or self.proxy
         data = self._holders.insider_purchases
@@ -567,7 +568,8 @@ def get_earnings_dates(self, limit=12, proxy=None) -> Optional[pd.DataFrame]:
                 page_size = min(limit - len(dates), page_size)
 
         if dates is None or dates.shape[0] == 0:
-            err_msg = "No earnings dates found, symbol may be delisted"
+            _exception = YFEarningsDateMissing(self.ticker)
+            err_msg = str(_exception)
             logger.error(f'{self.ticker}: {err_msg}')
             return None
         dates = dates.reset_index(drop=True)

yfinance/exceptions.py

@@ -1,12 +1,50 @@
-class YFinanceException(Exception):
-    pass
+class YFException(Exception):
+    def __init__(self, description=""):
+        super().__init__(description)
 
 
-class YFinanceDataException(YFinanceException):
+class YFDataException(YFException):
     pass
 
 
+class YFChartError(YFException):
+    def __init__(self, ticker, description):
+        self.ticker = ticker
+        super().__init__(f"{self.ticker}: {description}")
+
+
 class YFNotImplementedError(NotImplementedError):
     def __init__(self, method_name):
         super().__init__(f"Have not implemented fetching '{method_name}' from Yahoo API")
 
+
+class YFTickerMissingError(YFException):
+    def __init__(self, ticker, rationale):
+        super().__init__(f"${ticker}: possibly delisted; {rationale}")
+        self.rationale = rationale
+        self.ticker = ticker
+
+
+class YFTzMissingError(YFTickerMissingError):
+    def __init__(self, ticker):
+        super().__init__(ticker, "No timezone found")
+
+
+class YFPricesMissingError(YFTickerMissingError):
+    def __init__(self, ticker, debug_info):
+        self.debug_info = debug_info
+        super().__init__(ticker, f"No price data found {debug_info}")
+
+
+class YFEarningsDateMissing(YFTickerMissingError):
+    # note that this does not get raised. Added in case of raising it in the future
+    def __init__(self, ticker):
+        super().__init__(ticker, "No earnings dates found")
+
+
+class YFInvalidPeriodError(YFException):
+    def __init__(self, ticker, invalid_period, valid_ranges):
+        self.ticker = ticker
+        self.invalid_period = invalid_period
+        self.valid_ranges = valid_ranges
+        super().__init__(f"{self.ticker}: Period '{invalid_period}' is invalid, must be one of {valid_ranges}")

yfinance/scrapers/fundamentals.py

@@ -5,7 +5,7 @@
 
 from yfinance import utils, const
 from yfinance.data import YfData
-from yfinance.exceptions import YFinanceException, YFNotImplementedError
+from yfinance.exceptions import YFException, YFNotImplementedError
 
 
 class Fundamentals:
@@ -70,7 +70,7 @@ def get_cash_flow_time_series(self, freq="yearly", proxy=None) -> pd.DataFrame:
     @utils.log_indent_decorator
     def _fetch_time_series(self, name, timescale, proxy=None):
         # Fetching time series preferred over scraping 'QuoteSummaryStore',
-        # because it matches what Yahoo shows. But for some tickers returns nothing, 
+        # because it matches what Yahoo shows. But for some tickers returns nothing,
         # despite 'QuoteSummaryStore' containing valid data.
 
         allowed_names = ["income", "balance-sheet", "cash-flow"]
@@ -86,7 +86,7 @@ def _fetch_time_series(self, name, timescale, proxy=None):
 
             if statement is not None:
                 return statement
-        except YFinanceException as e:
+        except YFException as e:
             utils.get_yf_logger().error(f"{self._symbol}: Failed to create {name} financials table for reason: {e}")
         return pd.DataFrame()