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Fixed income unit tests (#4568)
* fixed income unit tests * api key fix * fix mock api key * Update poetry.lock * Poetry * Pytest : fix name collisions * dependency update * Re-record unit test * Update unit tests --------- Co-authored-by: Luqman <luqazino@gmail.com> Co-authored-by: Chavithra <chavithra@gmail.com>
This commit is contained in:
Igor Radovanovic
@@ -24,7 +24,7 @@ TY_TO_ID = {
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@log_start_end(log=logger)
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@check_api_key(["API_FRED_KEY"])
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def plot_ty(
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maturity: str = "3_month",
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maturity: str = "5_year",
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start_date: Optional[str] = None,
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end_date: Optional[str] = None,
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export: str = "",
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6
poetry.lock
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6
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@@ -6142,14 +6142,14 @@ dev = ["pre-commit", "pytest-asyncio", "tox"]
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[[package]]
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name = "pytest-recorder"
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version = "0.2.1"
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version = "0.2.3"
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description = "Pytest plugin, meant to facilitate unit tests writing for tools consumming Web APIs."
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category = "dev"
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[package.dependencies]
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2
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35537
tests/openbb_terminal/fixedincome/record/http/test_fred_model/test_get_ecb.yaml
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35537
tests/openbb_terminal/fixedincome/record/http/test_fred_model/test_get_ecb.yaml
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Load Diff
1139
tests/openbb_terminal/fixedincome/record/http/test_fred_model/test_get_fed[monthly-kwargs0].yaml
vendored
Normal file
1139
tests/openbb_terminal/fixedincome/record/http/test_fred_model/test_get_fed[monthly-kwargs0].yaml
vendored
Normal file
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9287
tests/openbb_terminal/fixedincome/record/http/test_fred_view/test_plot_icebofa.yaml
vendored
Normal file
9287
tests/openbb_terminal/fixedincome/record/http/test_fred_view/test_plot_icebofa.yaml
vendored
Normal file
File diff suppressed because it is too large
Load Diff
854
tests/openbb_terminal/fixedincome/record/http/test_fred_view/test_plot_iorb.yaml
vendored
Normal file
854
tests/openbb_terminal/fixedincome/record/http/test_fred_view/test_plot_iorb.yaml
vendored
Normal file
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9184
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9184
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666
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666
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"1998-07-01\"
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realtime_end=\"2023-03-30\" date=\"1998-12-01\" value=\"5.95\"/>\n <observation
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value=\"5.96\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"1999-04-01\"
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value=\"6.39\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"1999-06-01\" value=\"7.23\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"1999-07-01\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"1999-10-01\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2000-01-01\"
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value=\"7.91\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2000-03-01\" value=\"7.78\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2000-04-01\"
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value=\"7.71\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2000-06-01\" value=\"7.93\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2000-07-01\"
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value=\"7.84\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2000-08-01\" value=\"7.67\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2000-09-01\" value=\"7.70\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2000-10-01\"
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value=\"7.70\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2000-12-01\" value=\"7.27\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2001-01-01\"
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value=\"7.08\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2001-02-01\" value=\"6.97\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2001-03-01\" value=\"6.77\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2001-04-01\"
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realtime_end=\"2023-03-30\" date=\"2001-06-01\" value=\"6.97\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2001-07-01\"
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value=\"6.92\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2001-09-01\" value=\"6.77\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2001-10-01\"
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value=\"6.51\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2001-12-01\" value=\"6.71\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2002-01-01\"
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value=\"6.61\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2002-02-01\" value=\"6.52\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2002-03-01\" value=\"6.78\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2002-04-01\"
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value=\"6.73\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2002-05-01\" value=\"6.71\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2002-06-01\" value=\"6.45\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2002-07-01\"
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value=\"6.39\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2002-08-01\" value=\"6.17\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2002-09-01\" value=\"5.79\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2002-10-01\"
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value=\"5.93\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2002-11-01\" value=\"5.77\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2002-12-01\" value=\"5.63\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2003-01-01\"
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value=\"5.51\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2003-02-01\" value=\"5.34\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2003-03-01\" value=\"5.24\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2003-04-01\"
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value=\"5.25\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2003-05-01\" value=\"4.79\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2003-06-01\" value=\"4.52\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2011-07-01\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2012-04-01\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2012-07-01\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2012-10-01\"
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2013-01-01\"
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value=\"3.44\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2013-02-01\" value=\"3.52\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2013-03-01\" value=\"3.50\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2013-04-01\"
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date=\"2013-05-01\" value=\"3.46\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2013-06-01\" value=\"3.97\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2013-07-01\"
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value=\"4.23\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2013-08-01\" value=\"4.38\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2013-09-01\" value=\"4.45\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2013-10-01\"
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value=\"4.23\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2013-11-01\" value=\"4.28\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2013-12-01\" value=\"4.35\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2014-01-01\"
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value=\"4.20\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2014-02-01\" value=\"4.05\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2014-03-01\" value=\"4.00\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2014-04-01\"
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value=\"3.91\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2014-05-01\" value=\"3.76\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2014-06-01\" value=\"3.79\"/>\n <observation
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||||
realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2014-07-01\"
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value=\"3.71\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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||||
date=\"2014-08-01\" value=\"3.63\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2014-09-01\" value=\"3.76\"/>\n <observation
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||||
realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2014-10-01\"
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value=\"3.59\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2014-11-01\" value=\"3.65\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2014-12-01\" value=\"3.56\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2015-01-01\"
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value=\"3.26\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2015-02-01\" value=\"3.31\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2015-03-01\" value=\"3.38\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2015-04-01\"
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value=\"3.30\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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date=\"2015-05-01\" value=\"3.63\"/>\n <observation realtime_start=\"2023-03-30\"
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realtime_end=\"2023-03-30\" date=\"2015-06-01\" value=\"3.90\"/>\n <observation
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realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\" date=\"2015-07-01\"
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value=\"3.93\"/>\n <observation realtime_start=\"2023-03-30\" realtime_end=\"2023-03-30\"
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21
tests/openbb_terminal/fixedincome/test_econdb_model.py
Normal file
21
tests/openbb_terminal/fixedincome/test_econdb_model.py
Normal file
@@ -0,0 +1,21 @@
|
||||
"""Test the econdb_model.py"""
|
||||
|
||||
import pytest
|
||||
from pandas import DataFrame
|
||||
|
||||
from openbb_terminal.fixedincome import econdb_model
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"frequency, start_date, end_date, kwargs",
|
||||
[
|
||||
("monthly", "2019-01-01", "2022-01-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_get_treasuries(frequency, start_date, end_date, kwargs):
|
||||
df = econdb_model.get_treasuries(
|
||||
frequency=frequency, start_date=start_date, end_date=end_date, **kwargs
|
||||
)
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
41
tests/openbb_terminal/fixedincome/test_econdb_view.py
Normal file
41
tests/openbb_terminal/fixedincome/test_econdb_view.py
Normal file
@@ -0,0 +1,41 @@
|
||||
"""Test the econdb_view.py"""
|
||||
|
||||
import pytest
|
||||
|
||||
from openbb_terminal.fixedincome import econdb_view
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"maturity, start_date, end_date, kwargs",
|
||||
[
|
||||
("3_month", "2019-01-01", "2022-01-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_plot_cmm(maturity, start_date, end_date, kwargs):
|
||||
econdb_view.plot_cmn(
|
||||
maturity=maturity, start_date=start_date, end_date=end_date, **kwargs
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"maturity, start_date, end_date, kwargs",
|
||||
[
|
||||
("3_month", "2019-01-01", "2022-01-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_plot_tips(maturity, start_date, end_date, kwargs):
|
||||
econdb_view.plot_tips(
|
||||
maturity=maturity, start_date=start_date, end_date=end_date, **kwargs
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"maturity, start_date, end_date, kwargs",
|
||||
[
|
||||
("3_month", "2019-01-01", "2022-01-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_plot_tbill(maturity, start_date, end_date, kwargs):
|
||||
econdb_view.plot_tbill(
|
||||
maturity=maturity, start_date=start_date, end_date=end_date, **kwargs
|
||||
)
|
||||
@@ -1,5 +1,5 @@
|
||||
import pandas as pd
|
||||
import pytest
|
||||
from pandas import DataFrame
|
||||
|
||||
from openbb_terminal.fixedincome import fred_model
|
||||
|
||||
@@ -19,5 +19,243 @@ def vcr_config():
|
||||
def test_yield_curve(recorder, inflation):
|
||||
data = fred_model.get_yield_curve(date="2023-02-08", inflation_adjusted=inflation)
|
||||
|
||||
assert isinstance(data, pd.DataFrame)
|
||||
assert isinstance(data, DataFrame)
|
||||
recorder.capture(data)
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"series_id, kwargs",
|
||||
[
|
||||
("DGS10", {"start_date": "2020-01-01", "end_date": "2020-02-01"}),
|
||||
],
|
||||
)
|
||||
def test_get_series_data(series_id, kwargs):
|
||||
fred_model.get_series_data(series_id, **kwargs)
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("overnight", "2020-01-01", "2020-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_sofr(parameter, start_date, end_date):
|
||||
df = fred_model.get_sofr(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("rate", "2020-01-01", "2020-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_sonia(parameter, start_date, end_date):
|
||||
df = fred_model.get_sonia(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("overnight", "2020-01-01", "2020-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_ameribor(parameter, start_date, end_date):
|
||||
df = fred_model.get_ameribor(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, kwargs",
|
||||
[("monthly", dict())],
|
||||
)
|
||||
def test_get_fed(parameter, kwargs):
|
||||
df = fred_model.get_fed(parameter, **kwargs)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize("start_date, end_date", [("2023-01-01", "2023-03-30")])
|
||||
def test_get_iorb(start_date, end_date):
|
||||
df = fred_model.get_iorb(start_date=start_date, end_date=end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_get_projection():
|
||||
df = fred_model.get_projection()
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("daily_excl_weekend", "2020-01-01", "2020-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_dwpcr(parameter, start_date, end_date):
|
||||
df = fred_model.get_dwpcr(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_get_ecb():
|
||||
df = fred_model.get_ecb()
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, maturity, start_date, end_date",
|
||||
[
|
||||
("tbill", "4_week", "2020-01-01", "2023-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_usrates(parameter, maturity, start_date, end_date):
|
||||
df = fred_model.get_usrates(parameter, maturity, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"data_type, category, area, grade, start_date, end_date",
|
||||
[
|
||||
("yield", "all", "us", "non_sovereign", "2020-01-01", "2023-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_icebofa(data_type, category, area, grade, start_date, end_date):
|
||||
df = fred_model.get_icebofa(data_type, category, area, grade, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"data_type, kwargs",
|
||||
[
|
||||
("baa", {"start_date": "2020-01-01", "end_date": "2023-02-01"}),
|
||||
],
|
||||
)
|
||||
def test_get_moody(data_type, kwargs):
|
||||
df = fred_model.get_moody(data_type, **kwargs)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"maturity, category, grade, start_date, end_date",
|
||||
[
|
||||
("30d", "financial", "aa", "2020-01-01", "2023-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_cp(maturity, category, grade, start_date, end_date):
|
||||
df = fred_model.get_cp(maturity, category, grade, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"maturity, category, start_date, end_date",
|
||||
[
|
||||
(["10y"], ["spot_rate"], "2020-01-01", "2023-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_spot(maturity, category, start_date, end_date):
|
||||
df = fred_model.get_spot(maturity, category, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize("date, par", [("2023-03-30", False)])
|
||||
def test_get_hqm(date, par):
|
||||
df = fred_model.get_hqm(date=date, par=par)
|
||||
|
||||
assert isinstance(df[0], DataFrame)
|
||||
assert not df[0].empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("3_month", "2020-01-01", "2021-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_tbffr(parameter, start_date, end_date):
|
||||
df = fred_model.get_tbffr(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"category, area, grade, options, start_date, end_date",
|
||||
[
|
||||
("all", "us", "non_sovereign", False, "2020-01-01", "2021-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_icespread(category, area, grade, options, start_date, end_date):
|
||||
df = fred_model.get_icespread(category, area, grade, options, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("10_year", "2020-01-01", "2021-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_ffrmc(parameter, start_date, end_date):
|
||||
df = fred_model.get_ffrmc(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date",
|
||||
[
|
||||
("3_month", "2020-01-01", "2021-02-01"),
|
||||
],
|
||||
)
|
||||
def test_get_tmc(parameter, start_date, end_date):
|
||||
df = fred_model.get_tmc(parameter, start_date, end_date)
|
||||
|
||||
assert isinstance(df, DataFrame)
|
||||
assert not df.empty
|
||||
|
||||
135
tests/openbb_terminal/fixedincome/test_fred_view.py
Normal file
135
tests/openbb_terminal/fixedincome/test_fred_view.py
Normal file
@@ -0,0 +1,135 @@
|
||||
"""Test the fred_view.py"""
|
||||
|
||||
import pytest
|
||||
|
||||
from openbb_terminal.fixedincome import fred_view
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def vcr_config():
|
||||
return {
|
||||
"filter_headers": [("User-Agent", None)],
|
||||
"filter_query_parameters": [
|
||||
("api_key", "MOCK_API_KEY"),
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_sofr():
|
||||
fred_view.plot_sofr()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_sonia():
|
||||
fred_view.plot_sonia()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_ameribor():
|
||||
fred_view.plot_ameribor()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_fed():
|
||||
fred_view.plot_fed()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_iorb():
|
||||
fred_view.plot_iorb()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_fftr():
|
||||
fred_view.plot_fftr()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_projection():
|
||||
fred_view.plot_projection()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date, kwargs",
|
||||
[
|
||||
("daily_excl_weekend", "2020-01-01", "2020-02-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_plot_dwcpcr(parameter, start_date, end_date, kwargs):
|
||||
fred_view.plot_dwpcr(parameter, start_date, end_date, **kwargs)
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_ecb():
|
||||
fred_view.plot_ecb()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_tmc():
|
||||
fred_view.plot_tmc()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_ffrmc():
|
||||
fred_view.plot_ffrmc()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"date, kwargs",
|
||||
[
|
||||
("2021-01-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_display_yield_curve(date, kwargs):
|
||||
fred_view.display_yield_curve(date=date, **kwargs)
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, maturity, start_date, end_date, kwargs",
|
||||
[
|
||||
("tbill", "4_week", "2020-01-01", "2023-02-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_plot_usrates(parameter, maturity, start_date, end_date, kwargs):
|
||||
fred_view.plot_usrates(parameter, maturity, start_date, end_date, **kwargs)
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"parameter, start_date, end_date, kwargs",
|
||||
[
|
||||
("3_month", "2020-01-01", "2021-02-01", dict()),
|
||||
],
|
||||
)
|
||||
def test_plot_tbffr(parameter, start_date, end_date, kwargs):
|
||||
fred_view.plot_tbffr(parameter, start_date, end_date, **kwargs)
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_icebofa():
|
||||
fred_view.plot_icebofa()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_moody():
|
||||
fred_view.plot_moody()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_cp():
|
||||
fred_view.plot_cp()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_plot_spot():
|
||||
fred_view.plot_spot()
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize("date, kwargs", [("2023-03-30", {})])
|
||||
def test_plot_hqm(date, kwargs):
|
||||
fred_view.plot_hqm(date, **kwargs)
|
||||
@@ -1,7 +1,7 @@
|
||||
from datetime import datetime
|
||||
|
||||
import pandas as pd
|
||||
import pytest
|
||||
from pandas import DataFrame
|
||||
|
||||
from openbb_terminal.fixedincome import oecd_model
|
||||
|
||||
@@ -16,5 +16,5 @@ def test_get_interest_rates(recorder, data):
|
||||
start_date=datetime.strptime("2022-01-01", "%Y-%m-%d"),
|
||||
end_date=datetime.strptime("2022-01-31", "%Y-%m-%d"),
|
||||
)
|
||||
assert isinstance(data, pd.DataFrame)
|
||||
assert isinstance(data, DataFrame)
|
||||
recorder.capture(data)
|
||||
|
||||
25
tests/openbb_terminal/fixedincome/test_yfinance_model.py
Normal file
25
tests/openbb_terminal/fixedincome/test_yfinance_model.py
Normal file
@@ -0,0 +1,25 @@
|
||||
"""Test the yfinance_model.py"""
|
||||
|
||||
import pytest
|
||||
from pandas import Series
|
||||
|
||||
from openbb_terminal.fixedincome import yfinance_model
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.parametrize(
|
||||
"series_id, interval, start_date, end_date, column",
|
||||
[
|
||||
("^GSPC", "1d", "2021-01-01", "2022-01-01", "Adj Close"),
|
||||
],
|
||||
)
|
||||
def test_get_series(series_id, interval, start_date, end_date, column):
|
||||
series = yfinance_model.get_series(
|
||||
series_id=series_id,
|
||||
interval=interval,
|
||||
start_date=start_date,
|
||||
end_date=end_date,
|
||||
column=column,
|
||||
)
|
||||
assert isinstance(series, Series)
|
||||
assert not series.empty
|
||||
16
tests/openbb_terminal/fixedincome/test_yfinance_view.py
Normal file
16
tests/openbb_terminal/fixedincome/test_yfinance_view.py
Normal file
@@ -0,0 +1,16 @@
|
||||
"""Test the yfinance_view.py"""
|
||||
|
||||
import pytest
|
||||
|
||||
from openbb_terminal.fixedincome import yfinance_view
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"maturity, kwargs",
|
||||
[
|
||||
("5_year", {"start_date": "2021-01-01", "end_date": "2022-01-01"}),
|
||||
],
|
||||
)
|
||||
def test_plot_ty(maturity, kwargs):
|
||||
fig = yfinance_view.plot_ty(maturity=maturity, **kwargs)
|
||||
assert fig is not None
|
||||
0
tests/openbb_terminal/futures/__init__.py
Normal file
0
tests/openbb_terminal/futures/__init__.py
Normal file
Reference in New Issue
Block a user