mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-10-29 05:21:48 +00:00
Linting
This commit is contained in:
@@ -22,7 +22,7 @@ from reportlab.graphics import renderPDF
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try:
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from pywry import PyWry
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except ImportError as e:
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print(f"\033[91m{e}\033[0m")
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print(f"\033[91m{e}\033[0m") # noqa: T201
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# pylint: disable=C0412
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from .dummy_backend import DummyBackend
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@@ -241,10 +241,12 @@ class Backend(PyWry):
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if self.charting_settings.plot_open_export:
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if sys.platform == "win32":
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os.startfile(export_image) # nosec: B606
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os.startfile(export_image) # nosec: B606 # noqa: S606
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else:
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opener = "open" if sys.platform == "darwin" else "xdg-open"
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subprocess.check_call([opener, export_image]) # nosec: B603
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subprocess.check_call(
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[opener, export_image] # nosec: B603 # noqa: S603
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)
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def send_table(
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self,
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@@ -489,7 +491,7 @@ async def download_plotly_js():
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file.unlink(missing_ok=True)
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except Exception as err: # pylint: disable=W0703
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print(f"Error downloading plotly.js: {err}")
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warnings.warn(f"Error downloading plotly.js: {err}")
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# To avoid having plotly.js in the repo, we download it if it's not present
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@@ -54,7 +54,7 @@ class PluginMeta(type):
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is_static_method = isinstance(value, staticmethod)
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if is_static_method:
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value = value.__func__
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value = value.__func__ # noqa: PLW2901
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if isinstance(value, Indicator):
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if is_static_method:
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raise TypeError(
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@@ -55,10 +55,10 @@ def estr(
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extra_params: ExtraParams,
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) -> OBBject[BaseModel]: # type: ignore
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"""
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The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in the euro area.
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The €STR is published on each TARGET2 business day based on transactions conducted and settled on the previous TARGET2 business
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day (the reporting date “T”) with a maturity date of T+1 which are deemed to have been executed at arm’s length and thus reflect
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market rates in an unbiased way."""
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The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in
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the euro area. The €STR is published on each TARGET2 business day based on transactions conducted and settled on
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the previous TARGET2 business day (the reporting date “T”) with a maturity date of T+1 which are deemed to have been
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executed at arm’s length and thus reflect market rates in an unbiased way."""
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return OBBject(results=Query(**locals()).execute())
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@@ -70,9 +70,9 @@ def sonia(
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extra_params: ExtraParams,
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) -> OBBject[BaseModel]: # type: ignore
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"""
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SONIA (Sterling Overnight Index Average) is an important interest rate benchmark. SONIA is based on actual transactions and
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reflects the average of the interest rates that banks pay to borrow sterling overnight from other financial institutions and other
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institutional investors."""
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SONIA (Sterling Overnight Index Average) is an important interest rate benchmark. SONIA is based on actual
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transactions and reflects the average of the interest rates that banks pay to borrow sterling overnight from other
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financial institutions and other institutional investors."""
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return OBBject(results=Query(**locals()).execute())
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@@ -84,9 +84,9 @@ def ameribor(
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extra_params: ExtraParams,
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) -> OBBject[BaseModel]: # type: ignore
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"""
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Ameribor (short for the American interbank offered rate) is a benchmark interest rate that reflects the true cost of short-term
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interbank borrowing. This rate is based on transactions in overnight unsecured loans conducted on the American Financial Exchange
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(AFX)."""
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Ameribor (short for the American interbank offered rate) is a benchmark interest rate that reflects the true cost of
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short-term interbank borrowing. This rate is based on transactions in overnight unsecured loans conducted on the
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American Financial Exchange (AFX)."""
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return OBBject(results=Query(**locals()).execute())
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@@ -98,9 +98,10 @@ def fed(
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extra_params: ExtraParams,
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) -> OBBject[BaseModel]: # type: ignore
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"""
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Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its domestic banks to
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borrow money. The rates central banks charge are set to stabilize the economy. In the United States, the Federal Reserve System's
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Board of Governors set the bank rate, also known as the discount rate."""
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Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its
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domestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the
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United States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.
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"""
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return OBBject(results=Query(**locals()).execute())
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@@ -112,9 +113,10 @@ def projections(
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extra_params: ExtraParams,
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) -> OBBject[BaseModel]: # type: ignore
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"""
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Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its domestic banks to
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borrow money. The rates central banks charge are set to stabilize the economy. In the United States, the Federal Reserve System's
|
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Board of Governors set the bank rate, also known as the discount rate."""
|
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Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its
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domestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the
|
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United States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.
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"""
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return OBBject(results=Query(**locals()).execute())
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@@ -126,7 +128,8 @@ def iorb(
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extra_params: ExtraParams,
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) -> OBBject[BaseModel]: # type: ignore
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"""
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Get Interest Rate on Reserve Balances data A bank rate is the interest rate a nation's central bank charges to its domestic banks
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to borrow money. The rates central banks charge are set to stabilize the economy. In the United States, the Federal Reserve
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||||
System's Board of Governors set the bank rate, also known as the discount rate."""
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Get Interest Rate on Reserve Balances data A bank rate is the interest rate a nation's central bank charges to its
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domestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the
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United States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.
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"""
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return OBBject(results=Query(**locals()).execute())
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@@ -9,14 +9,14 @@ import pandas as pd
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# ruff: ignore=S310
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def get_fama_raw(start_date: str, end_date: str) -> pd.DataFrame:
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"""Gets base Fama French data to calculate risk
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"""Get base Fama French data to calculate risk.
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Returns
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-------
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pd.DataFrame
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A data with fama french model information
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"""
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with urlopen( # nosec # noqa: S310
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with urlopen( # nosec # noqa: S310 SIM117
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"https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/ftp/F-F_Research_Data_Factors_CSV.zip"
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) as url:
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# Download Zipfile and create pandas DataFrame
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@@ -47,9 +47,9 @@ class CLASS_fixedincome(Container):
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**kwargs
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) -> OBBject[List]:
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||||
"""
|
||||
Ameribor (short for the American interbank offered rate) is a benchmark interest rate that reflects the true cost of short-term
|
||||
interbank borrowing. This rate is based on transactions in overnight unsecured loans conducted on the American Financial Exchange
|
||||
(AFX).
|
||||
Ameribor (short for the American interbank offered rate) is a benchmark interest rate that reflects the true cost of
|
||||
short-term interbank borrowing. This rate is based on transactions in overnight unsecured loans conducted on the
|
||||
American Financial Exchange (AFX).
|
||||
|
||||
Parameters
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----------
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@@ -124,10 +124,10 @@ class CLASS_fixedincome(Container):
|
||||
**kwargs
|
||||
) -> OBBject[List]:
|
||||
"""
|
||||
The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in the euro area.
|
||||
The €STR is published on each TARGET2 business day based on transactions conducted and settled on the previous TARGET2 business
|
||||
day (the reporting date “T”) with a maturity date of T+1 which are deemed to have been executed at arm’s length and thus reflect
|
||||
market rates in an unbiased way.
|
||||
The euro short-term rate (€STR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in
|
||||
the euro area. The €STR is published on each TARGET2 business day based on transactions conducted and settled on
|
||||
the previous TARGET2 business day (the reporting date “T”) with a maturity date of T+1 which are deemed to have been
|
||||
executed at arm’s length and thus reflect market rates in an unbiased way.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
@@ -202,9 +202,10 @@ class CLASS_fixedincome(Container):
|
||||
**kwargs
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||||
) -> OBBject[List]:
|
||||
"""
|
||||
Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its domestic banks to
|
||||
borrow money. The rates central banks charge are set to stabilize the economy. In the United States, the Federal Reserve System's
|
||||
Board of Governors set the bank rate, also known as the discount rate.
|
||||
Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its
|
||||
domestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the
|
||||
United States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.
|
||||
|
||||
|
||||
Parameters
|
||||
----------
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||||
@@ -279,9 +280,10 @@ class CLASS_fixedincome(Container):
|
||||
**kwargs
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||||
) -> OBBject[List]:
|
||||
"""
|
||||
Get Interest Rate on Reserve Balances data A bank rate is the interest rate a nation's central bank charges to its domestic banks
|
||||
to borrow money. The rates central banks charge are set to stabilize the economy. In the United States, the Federal Reserve
|
||||
System's Board of Governors set the bank rate, also known as the discount rate.
|
||||
Get Interest Rate on Reserve Balances data A bank rate is the interest rate a nation's central bank charges to its
|
||||
domestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the
|
||||
United States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.
|
||||
|
||||
|
||||
Parameters
|
||||
----------
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||||
@@ -339,9 +341,10 @@ class CLASS_fixedincome(Container):
|
||||
self, chart: bool = False, provider: Optional[Literal["fred"]] = None, **kwargs
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||||
) -> OBBject[List]:
|
||||
"""
|
||||
Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its domestic banks to
|
||||
borrow money. The rates central banks charge are set to stabilize the economy. In the United States, the Federal Reserve System's
|
||||
Board of Governors set the bank rate, also known as the discount rate.
|
||||
Get Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its
|
||||
domestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the
|
||||
United States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.
|
||||
|
||||
|
||||
Parameters
|
||||
----------
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||||
@@ -495,9 +498,9 @@ class CLASS_fixedincome(Container):
|
||||
**kwargs
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||||
) -> OBBject[List]:
|
||||
"""
|
||||
SONIA (Sterling Overnight Index Average) is an important interest rate benchmark. SONIA is based on actual transactions and
|
||||
reflects the average of the interest rates that banks pay to borrow sterling overnight from other financial institutions and other
|
||||
institutional investors.
|
||||
SONIA (Sterling Overnight Index Average) is an important interest rate benchmark. SONIA is based on actual
|
||||
transactions and reflects the average of the interest rates that banks pay to borrow sterling overnight from other
|
||||
financial institutions and other institutional investors.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
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@@ -1,6 +1,7 @@
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"""CBOE Helpers Module"""
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"""CBOE Helpers Module."""
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import os
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import warnings
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from datetime import date, datetime, timedelta
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from io import StringIO
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from pathlib import Path
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@@ -202,7 +203,7 @@ def stock_search(query: str, ticker: bool = False) -> dict:
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if len(result) > 0:
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data.update({"results": result})
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return data
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print(f"No results found for: {query}. Try another search query.")
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warnings.warn(f"No results found for: {query}. Try another search query.")
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return pd.DataFrame()
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|
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@@ -230,14 +231,13 @@ def get_ticker_info(symbol: str) -> Tuple[pd.DataFrame, List[str]]:
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try:
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if symbol in TICKER_EXCEPTIONS:
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new_ticker = "^" + symbol
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else:
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if symbol not in INDEXES:
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new_ticker = symbol
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elif symbol not in INDEXES:
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new_ticker = symbol
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elif symbol in INDEXES:
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new_ticker = "^" + symbol
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elif symbol in INDEXES:
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new_ticker = "^" + symbol
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# Get the data to return, and if none returns empty Tuple #
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# Get the data to return, and if none returns empty Tuple #
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symbol_info_url = (
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"https://www.cboe.com/education/tools/trade-optimizer/symbol-info/?symbol="
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||||
@@ -250,7 +250,7 @@ def get_ticker_info(symbol: str) -> Tuple[pd.DataFrame, List[str]]:
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if symbol_info_json.success is False:
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ticker_details = pd.DataFrame()
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ticker_expirations = []
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print("No data found for the symbol: " f"{symbol}" "")
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warnings.warn("No data found for the symbol: " f"{symbol}" "")
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||||
else:
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||||
symbol_details = pd.Series(symbol_info_json["details"])
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symbol_details = pd.DataFrame(symbol_details).transpose()
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@@ -352,7 +352,7 @@ def get_ticker_info(symbol: str) -> Tuple[pd.DataFrame, List[str]]:
|
||||
).rename(columns={f"{new_ticker}": f"{symbol}"})
|
||||
|
||||
except requests.HTTPError:
|
||||
print("There was an error with the request'\n")
|
||||
warnings.warn("There was an error with the request'\n")
|
||||
ticker_details = pd.DataFrame()
|
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ticker_expirations = list()
|
||||
return ticker_details, ticker_expirations
|
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@@ -382,24 +382,23 @@ def get_ticker_iv(symbol: str) -> pd.DataFrame:
|
||||
f"{symbol}"
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||||
".json"
|
||||
)
|
||||
else:
|
||||
if symbol not in INDEXES:
|
||||
quotes_iv_url = (
|
||||
"https://cdn.cboe.com/api/global/delayed_quotes/historical_data/"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
elif symbol not in INDEXES:
|
||||
quotes_iv_url = (
|
||||
"https://cdn.cboe.com/api/global/delayed_quotes/historical_data/"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
|
||||
elif symbol in INDEXES:
|
||||
quotes_iv_url = (
|
||||
"https://cdn.cboe.com/api/global/delayed_quotes/historical_data/_"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
elif symbol in INDEXES:
|
||||
quotes_iv_url = (
|
||||
"https://cdn.cboe.com/api/global/delayed_quotes/historical_data/_"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
h_iv = request(quotes_iv_url)
|
||||
|
||||
if h_iv.status_code != 200:
|
||||
print("No data found for the symbol: " f"{symbol}" "")
|
||||
warnings.warn("No data found for the symbol: " f"{symbol}" "")
|
||||
return pd.DataFrame()
|
||||
|
||||
data = h_iv.json()
|
||||
@@ -439,7 +438,7 @@ def get_ticker_iv(symbol: str) -> pd.DataFrame:
|
||||
|
||||
ticker_iv = pd.DataFrame(h_data).transpose()
|
||||
except requests.HTTPError:
|
||||
print("There was an error with the request'\n")
|
||||
warnings.warn("There was an error with the request'\n")
|
||||
|
||||
return pd.DataFrame(ticker_iv, columns=iv_order).transpose()
|
||||
|
||||
@@ -483,7 +482,7 @@ def get_chains(symbol: str) -> pd.DataFrame:
|
||||
|
||||
result = request(quotes_url)
|
||||
if result.status_code != 200:
|
||||
print("No data found for the symbol: " f"{symbol}" "")
|
||||
warnings.warn("No data found for the symbol: " f"{symbol}" "")
|
||||
return pd.DataFrame()
|
||||
|
||||
r_json = result.json()
|
||||
@@ -552,7 +551,7 @@ def get_chains(symbol: str) -> pd.DataFrame:
|
||||
quotes["changePercent"] = round(quotes["changePercent"], 2)
|
||||
|
||||
except requests.HTTPError:
|
||||
print("There was an error with the request'\n")
|
||||
warnings.warn("There was an error with the request'\n")
|
||||
return pd.DataFrame()
|
||||
|
||||
return quotes.reset_index()
|
||||
@@ -566,7 +565,7 @@ def __generate_historical_prices_url(
|
||||
url: str = ""
|
||||
|
||||
if data_type not in ["historical", "intraday"]:
|
||||
print(
|
||||
warnings.warn(
|
||||
"Invalid data_type. Must be either 'historical' or 'intraday'. Defaulting to 'historical'."
|
||||
)
|
||||
data_type = "historical"
|
||||
@@ -577,20 +576,19 @@ def __generate_historical_prices_url(
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
else:
|
||||
if symbol not in INDEXES:
|
||||
url = (
|
||||
f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
elif symbol not in INDEXES:
|
||||
url = (
|
||||
f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
|
||||
elif symbol in INDEXES:
|
||||
url = (
|
||||
f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/_"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
elif symbol in INDEXES:
|
||||
url = (
|
||||
f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}/_"
|
||||
f"{symbol}"
|
||||
".json"
|
||||
)
|
||||
return url
|
||||
|
||||
|
||||
@@ -618,7 +616,9 @@ def get_eod_prices(
|
||||
|
||||
symbol = symbol.upper()
|
||||
if symbol == ("NDX", "^NDX"):
|
||||
print("NDX time series data is not currently supported by the CBOE provider.")
|
||||
warnings.warn(
|
||||
"NDX time series data is not currently supported by the CBOE provider."
|
||||
)
|
||||
return pd.DataFrame()
|
||||
if "^" in symbol:
|
||||
symbol = symbol.replace("^", "")
|
||||
@@ -626,14 +626,16 @@ def get_eod_prices(
|
||||
start_date = start_date if start_date else now - timedelta(days=50000)
|
||||
end_date = end_date if end_date else now
|
||||
if symbol not in SYMBOLS.index:
|
||||
print("The symbol, " f"{symbol}" ", was not found in the CBOE directory.")
|
||||
warnings.warn(
|
||||
"The symbol, " f"{symbol}" ", was not found in the CBOE directory."
|
||||
)
|
||||
return pd.DataFrame()
|
||||
|
||||
url = __generate_historical_prices_url(symbol)
|
||||
result = request(url)
|
||||
|
||||
if result.status_code != 200:
|
||||
print(f"Error: {result.status_code}")
|
||||
warnings.warn(f"Error: {result.status_code}")
|
||||
return pd.DataFrame()
|
||||
|
||||
data = (
|
||||
|
||||
@@ -73,7 +73,6 @@ def get_futures_curve(symbol: str, date: Optional[dateType]) -> pd.DataFrame:
|
||||
return pd.DataFrame({"date": [], "Last Price": []})
|
||||
|
||||
if historical_curve:
|
||||
print(historical_curve)
|
||||
return pd.DataFrame(
|
||||
{"Last Price": historical_curve, "expiration": futures_index}
|
||||
)
|
||||
|
||||
@@ -11,6 +11,7 @@ from openbb_core.app.service.user_service import UserService
|
||||
from passlib.context import CryptContext
|
||||
from typing_extensions import Annotated
|
||||
|
||||
# ruff: noqa: S105
|
||||
SECRET_KEY = "a0657288545d1d2e991195841782ae2a22574a22954081db0c2888c5f5ddbecc" # nosec # pragma: allowlist secret
|
||||
ALGORITHM = "HS256"
|
||||
ACCESS_TOKEN_EXPIRE_MINUTES = 1440
|
||||
@@ -78,7 +79,7 @@ def create_jwt_token(
|
||||
|
||||
async def get_user_service() -> UserService:
|
||||
"""Get user service."""
|
||||
global __user_service # pylint: disable=global-statement
|
||||
global __user_service # pylint: disable=global-statement # noqa: PLW0603
|
||||
|
||||
if __user_service is None:
|
||||
__user_service = UserService()
|
||||
|
||||
@@ -50,7 +50,7 @@ async def login_for_access_token(
|
||||
sub=user_settings.id,
|
||||
)
|
||||
jwt_token = create_jwt_token(access_token=access_token)
|
||||
return TokenResponse(access_token=jwt_token, token_type="bearer")
|
||||
return TokenResponse(access_token=jwt_token, token_type="bearer") # noqa: S106
|
||||
|
||||
|
||||
@router.put("/push")
|
||||
|
||||
@@ -141,7 +141,8 @@ class ParametersBuilder:
|
||||
command_coverage: Dict[str, List[str]],
|
||||
route_default: Optional[str],
|
||||
) -> Optional[str]:
|
||||
"""Get the default provider for the given route. Either pick it from the user defaults or from the command coverage."""
|
||||
"""Get the default provider for the given route.
|
||||
Either pick it from the user defaults or from the command coverage."""
|
||||
cmd_cov_given_route = command_coverage.get(route, None)
|
||||
command_cov_provider = (
|
||||
cmd_cov_given_route[0] if cmd_cov_given_route else None
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
# IMPORT STANDARD
|
||||
import time
|
||||
import uuid
|
||||
import warnings
|
||||
from pathlib import Path, PosixPath
|
||||
|
||||
# IMPORT THIRD-PARTY
|
||||
@@ -14,14 +15,13 @@ def get_session_id() -> str:
|
||||
|
||||
|
||||
def get_app_id(contextual_user_data_directory: str) -> str:
|
||||
"""UUID of the current installation."""
|
||||
|
||||
"""Get UUID of the current installation."""
|
||||
try:
|
||||
app_id = get_log_dir(contextual_user_data_directory).stem
|
||||
except OSError as e:
|
||||
if e.errno == 30:
|
||||
print("Please move the application into a writable location.")
|
||||
print(
|
||||
warnings.warn("Please move the application into a writable location.")
|
||||
warnings.warn(
|
||||
"Note for macOS users: copy `OpenBB Terminal` folder outside the DMG."
|
||||
)
|
||||
raise e
|
||||
@@ -33,7 +33,6 @@ def get_app_id(contextual_user_data_directory: str) -> str:
|
||||
|
||||
def get_log_dir(contextual_user_data_directory: str) -> PosixPath:
|
||||
"""Retrieve application's log directory."""
|
||||
|
||||
log_dir = create_log_dir_if_not_exists(contextual_user_data_directory)
|
||||
logging_uuid = create_log_uuid_if_not_exists(log_dir)
|
||||
uuid_log_dir = create_uuid_dir_if_not_exists(log_dir, logging_uuid)
|
||||
|
||||
@@ -32,6 +32,8 @@ from openbb_core.app.model.custom_parameter import OpenBBCustomParameter
|
||||
from openbb_core.app.provider_interface import ProviderInterface
|
||||
from openbb_core.app.router import RouterLoader
|
||||
|
||||
# ruff: noqa: T201
|
||||
|
||||
|
||||
class PackageBuilder:
|
||||
"""Build the extension package for the SDK."""
|
||||
@@ -318,21 +320,19 @@ class DocstringGenerator:
|
||||
type_ = p_type.__name__ if inspect.isclass(p_type) else p_type
|
||||
meta = param._annotation.__metadata__
|
||||
description = getattr(meta[0], "description", "") if meta else ""
|
||||
else:
|
||||
elif param_name == "provider":
|
||||
# pylint: disable=W0212
|
||||
if param_name == "provider":
|
||||
# pylint: disable=W0212
|
||||
type_ = param._annotation
|
||||
default = param._annotation.__args__[0].__args__[0]
|
||||
description = f"""The provider to use for the query, by default None.
|
||||
type_ = param._annotation
|
||||
default = param._annotation.__args__[0].__args__[0]
|
||||
description = f"""The provider to use for the query, by default None.
|
||||
If None, the provider specified in defaults is selected or '{default}' if there is
|
||||
no default."""
|
||||
elif param_name == "chart":
|
||||
type_ = "bool"
|
||||
description = "Whether to create a chart or not, by default False."
|
||||
else:
|
||||
type_ = ""
|
||||
description = ""
|
||||
elif param_name == "chart":
|
||||
type_ = "bool"
|
||||
description = "Whether to create a chart or not, by default False."
|
||||
else:
|
||||
type_ = ""
|
||||
description = ""
|
||||
|
||||
docstring += f"{param_name} : {type_}\n"
|
||||
docstring += f" {description}\n"
|
||||
|
||||
@@ -14,6 +14,8 @@ from openbb_core.api.dependency.user import (
|
||||
verify_password,
|
||||
)
|
||||
|
||||
# ruff: noqa: S105 S106
|
||||
|
||||
|
||||
def test_password_functions():
|
||||
"""Test password functions."""
|
||||
|
||||
@@ -6,6 +6,8 @@ from openbb_core.api.router.user import patch_user_credentials, read_users_setti
|
||||
from openbb_core.app.model.credentials import Credentials
|
||||
from openbb_core.app.model.user_settings import UserSettings
|
||||
|
||||
# ruff: noqa: S106
|
||||
|
||||
|
||||
def test_read_users_settings():
|
||||
"""Test read users settings."""
|
||||
|
||||
@@ -7,6 +7,8 @@ from openbb_core.app.logs.logging_manager import LoggingManager
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from pydantic import BaseModel
|
||||
|
||||
# ruff: noqa: S106
|
||||
|
||||
|
||||
class MockLoggingSettings:
|
||||
def __init__(self, system_settings, user_settings):
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
from openbb_core.app.model.hub.features_keys import FeaturesKeys
|
||||
|
||||
# ruff: noqa: S105 S106
|
||||
|
||||
|
||||
def test_features_keys():
|
||||
fk = FeaturesKeys(API_BITQUERY_KEY="test", API_BIZTOC_TOKEN="test2")
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
from openbb_core.app.model.hub.hub_session import HubSession
|
||||
|
||||
# ruff: noqa: S105 S106
|
||||
|
||||
|
||||
def test_hub_session():
|
||||
session = HubSession(
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
"""Test the hub_service.py module."""
|
||||
# pylint: disable=W0212
|
||||
# ruff: noqa: S105 S106
|
||||
|
||||
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
|
||||
Reference in New Issue
Block a user