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[Enhancement] ReferenceGenerator class in package_builder.py #6179

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merged 31 commits into from
Mar 13, 2024
Merged

[Enhancement] ReferenceGenerator class in package_builder.py #6179

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9b82d26
fix docstrings in quantitative,technical,econometrics routers
the-praxs Mar 10, 2024
740d5a2
add reference generator class to create reference.json file in openbb…
the-praxs Mar 10, 2024
3f21e95
modify platform markdown generator script to not generate the referen…
the-praxs Mar 10, 2024
3c5b11c
get properly formatted examples for the website
the-praxs Mar 10, 2024
9ceab6f
modify get_field_type function
the-praxs Mar 10, 2024
23b7cbe
remove TODO comment
the-praxs Mar 11, 2024
5ef9948
path change / to .
the-praxs Mar 11, 2024
2f4fc20
remove extra '-' below 'Args' in function docstring
the-praxs Mar 11, 2024
ace7157
get obbject extensions in extension_map.json
the-praxs Mar 11, 2024
95b0eef
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 11, 2024
02e64a4
skew in stats_router had extra . rip
the-praxs Mar 11, 2024
cf16c43
black
the-praxs Mar 11, 2024
0f40a48
extra space (sigh)
the-praxs Mar 11, 2024
4a65fad
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 11, 2024
58ef39e
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 11, 2024
aab45cf
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 11, 2024
ae1e166
modify get_provider_parameter_info func to use model_provider from pr…
the-praxs Mar 11, 2024
13e7d8b
update lock files
the-praxs Mar 11, 2024
53be33d
black
the-praxs Mar 12, 2024
cb782ba
Revert "update lock files"
the-praxs Mar 12, 2024
5a8500a
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 12, 2024
022a622
add function to check all extensions are installed before the markdow…
the-praxs Mar 12, 2024
27bad78
better comment
the-praxs Mar 12, 2024
f6401b2
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 12, 2024
f66607a
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 12, 2024
2ad5516
fix docstring
the-praxs Mar 12, 2024
5d7baa0
black
the-praxs Mar 12, 2024
c420876
'static
the-praxs Mar 13, 2024
4211227
remove duplicate standard params & data from reference data
the-praxs Mar 13, 2024
0090c60
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 13, 2024
5891c58
Merge branch 'develop' into feature/reference-generator-package-builder
the-praxs Mar 13, 2024
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474 changes: 440 additions & 34 deletions openbb_platform/core/openbb_core/app/static/package_builder.py
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5 changes: 0 additions & 5 deletions openbb_platform/core/tests/app/static/test_package_builder.py
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Expand Up @@ -46,11 +46,6 @@ def test_package_builder_build(package_builder):
package_builder.build()


def test_save_module_map(package_builder):
"""Test save module map."""
package_builder._save_module_map()


def test_save_modules(package_builder):
"""Test save module."""
package_builder._save_modules()
Expand Down
28 changes: 14 additions & 14 deletions openbb_platform/extensions/econometrics/openbb_econometrics/econometrics_router.py
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Expand Up @@ -58,7 +58,7 @@ def correlation_matrix(data: List[Data]) -> OBBject[List[Data]]:

Returns
-------
OBBject[List[Data]]:
OBBject[List[Data]]
Correlation matrix.
"""
df = basemodel_to_df(data)
Expand Down Expand Up @@ -120,7 +120,7 @@ def ols_regression(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the results being model and results objects.
"""
X = sm.add_constant(get_target_columns(basemodel_to_df(data), x_columns))
Expand Down Expand Up @@ -169,7 +169,7 @@ def ols_regression_summary(

Returns
-------
OBBject[Data]:
OBBject[Data]
OBBject with the results being summary object.
"""
X = sm.add_constant(get_target_columns(basemodel_to_df(data), x_columns))
Expand Down Expand Up @@ -260,7 +260,7 @@ def autocorrelation(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the results being the score from the test.
"""
X = sm.add_constant(get_target_columns(basemodel_to_df(data), x_columns))
Expand Down Expand Up @@ -317,7 +317,7 @@ def residual_autocorrelation(

Returns
-------
OBBject[Data]:
OBBject[Data]
OBBject with the results being the score from the test.
"""
X = sm.add_constant(get_target_columns(basemodel_to_df(data), x_columns))
Expand Down Expand Up @@ -374,7 +374,7 @@ def cointegration(

Returns
-------
OBBject[Data]:
OBBject[Data]
OBBject with the results being the score from the test.
"""
pairs = list(combinations(columns, 2))
Expand Down Expand Up @@ -450,7 +450,7 @@ def causality(

Returns
-------
OBBject[Data]:
OBBject[Data]
OBBject with the results being the score from the test.
"""
X = get_target_column(basemodel_to_df(data), x_column)
Expand Down Expand Up @@ -518,7 +518,7 @@ def unit_root(

Returns
-------
OBBject[Data]:
OBBject[Data]
OBBject with the results being the score from the test.
"""
dataset = get_target_column(basemodel_to_df(data), column)
Expand Down Expand Up @@ -568,7 +568,7 @@ def panel_random_effects(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the fit model returned
"""
X = get_target_columns(basemodel_to_df(data), x_columns)
Expand Down Expand Up @@ -615,7 +615,7 @@ def panel_between(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the fit model returned
"""
X = get_target_columns(basemodel_to_df(data), x_columns)
Expand Down Expand Up @@ -661,7 +661,7 @@ def panel_pooled(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the fit model returned
"""
X = get_target_columns(basemodel_to_df(data), x_columns)
Expand Down Expand Up @@ -706,7 +706,7 @@ def panel_fixed(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the fit model returned
"""
X = get_target_columns(basemodel_to_df(data), x_columns)
Expand Down Expand Up @@ -751,7 +751,7 @@ def panel_first_difference(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the fit model returned
"""
X = get_target_columns(basemodel_to_df(data), x_columns)
Expand Down Expand Up @@ -797,7 +797,7 @@ def panel_fmac(

Returns
-------
OBBject[Dict]:
OBBject[Dict]
OBBject with the fit model returned
"""
X = get_target_columns(basemodel_to_df(data), x_columns)
Expand Down
24 changes: 10 additions & 14 deletions openbb_platform/extensions/quantitative/openbb_quantitative/rolling/rolling_router.py
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Expand Up @@ -76,7 +76,6 @@ def skew(
Rolling skew.

"""

df = basemodel_to_df(data, index=index)
series_target = get_target_column(df, target)
series_target.name = f"rolling_skew_{window}"
Expand Down Expand Up @@ -132,7 +131,7 @@ def variance(
index: str, optional
The name of the index column, default is "date".

Returns:
Returns
-------
OBBject[List[Data]]
An object containing the rolling variance values.
Expand Down Expand Up @@ -177,8 +176,8 @@ def stdev(
Calculate the rolling standard deviation of a target column within a given window size.

Standard deviation is a measure of the amount of variation or dispersion of a set of values.
It is widely used to assess the risk and volatility of financial returns or other time series data
over a specified rolling window. It is the square root of the variance.
It is widely used to assess the risk and volatility of financial returns or other time series data
over a specified rolling window. It is the square root of the variance.

Parameters
----------
Expand All @@ -191,12 +190,11 @@ def stdev(
index: str, optional
The name of the index column, default is "date".

Returns:
Returns
-------
OBBject[List[Data]]
An object containing the rolling standard deviation values.
"""

df = basemodel_to_df(data, index=index)
series_target = get_target_column(df, target)
series_target.name = f"rolling_stdev_{window}"
Expand Down Expand Up @@ -255,12 +253,11 @@ def kurtosis(
index: str, optional
The name of the index column, default is "date".

Returns:
Returns
-------
OBBject[List[Data]]
An object containing the rolling kurtosis values.
"""

df = basemodel_to_df(data, index=index)
series_target = get_target_column(df, target)
series_target.name = f"rolling_kurtosis_{window}"
Expand Down Expand Up @@ -324,12 +321,11 @@ def quantile(
index: str, optional
The name of the index column, default is "date".

Returns:
Returns
-------
OBBject[List[Data]]
An object containing the rolling quantile values with the median.
"""

df = basemodel_to_df(data, index=index)
series_target = get_target_column(df, target)
validate_window(series_target, window)
Expand Down Expand Up @@ -398,11 +394,11 @@ def mean(
index: str, optional
The name of the index column, default is "date".

Returns:
OBBject[List[Data]]
An object containing the rolling mean values.
Returns
-------
OBBject[List[Data]]
An object containing the rolling mean values.
"""

df = basemodel_to_df(data, index=index)
series_target = get_target_column(df, target)
series_target.name = f"rolling_mean_{window}"
Expand Down
9 changes: 2 additions & 7 deletions openbb_platform/extensions/quantitative/openbb_quantitative/stats/stats_router.py
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Expand Up @@ -50,7 +50,7 @@ def skew(
data: List[Data],
target: str,
) -> OBBject[List[Data]]:
"""Get the skew. of the data set
"""Get the skew of the data set.

Skew is a statistical measure that reveals the degree of asymmetry of a distribution around its mean.
Positive skewness indicates a distribution with an extended tail to the right, while negative skewness shows a tail
Expand All @@ -70,7 +70,6 @@ def skew(
OBBject[List[Data]]
Rolling skew.
"""

df = basemodel_to_df(data)
series_target = get_target_column(df, target)
results = pd.DataFrame([skew_(series_target)], columns=["skew"])
Expand Down Expand Up @@ -170,7 +169,6 @@ def stdev(data: List[Data], target: str) -> OBBject[List[Data]]:
OBBject[List[Data]]
An object containing the rolling standard deviation values.
"""

df = basemodel_to_df(data)
series_target = get_target_column(df, target)
results = pd.DataFrame([std_dev_(series_target)], columns=["stdev"])
Expand Down Expand Up @@ -218,11 +216,10 @@ def kurtosis(data: List[Data], target: str) -> OBBject[List[Data]]:
The name of the column for which to calculate kurtosis.

Returns
------
-------
OBBject[List[Data]]
An object containing the kurtosis value
"""

df = basemodel_to_df(data)
series_target = get_target_column(df, target)
results = pd.DataFrame([kurtosis_(series_target)], columns=["kurtosis"])
Expand Down Expand Up @@ -278,7 +275,6 @@ def quantile(
OBBject[List[Data]]
An object containing the rolling quantile values with the median.
"""

df = basemodel_to_df(
data,
)
Expand Down Expand Up @@ -335,7 +331,6 @@ def mean(
OBBject[List[Data]]
An object containing the mean value.
"""

df = basemodel_to_df(data)
series_target = get_target_column(df, target)
results = pd.DataFrame([mean_(series_target)], columns=["mean"])
Expand Down
2 changes: 2 additions & 0 deletions openbb_platform/extensions/technical/openbb_technical/technical_router.py
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Expand Up @@ -315,6 +315,7 @@ def adosc(
Returns
-------
OBBject[List[Data]]
The calculated data.
"""
validate_data(data, [fast, slow])
df = basemodel_to_df(data, index=index)
Expand Down Expand Up @@ -1093,6 +1094,7 @@ def ad(data: List[Data], index: str = "date", offset: int = 0) -> OBBject[List[D
Returns
-------
OBBject[List[Data]]
The calculated data.
"""
df = basemodel_to_df(data, index=index)
df_target = get_target_columns(df, ["high", "low", "close", "volume"])
Expand Down
1 change: 1 addition & 0 deletions openbb_platform/openbb/assets/extension_map.json
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Expand Up @@ -12,6 +12,7 @@
"[email protected]",
"[email protected]"
],
"openbb_obbject_extension": [],
"openbb_provider_extension": [
"[email protected]",
"[email protected]",
Expand Down
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