From e642b8692fa68fdb12b75a813972132cf792475a Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 16:14:23 +0530 Subject: [PATCH 01/43] Adding decoratory factory to validate_schema to make it work both as a function and as a decorator --- quinn/dataframe_validator.py | 35 ++++++++++++++++++++++++++++++++--- 1 file changed, 32 insertions(+), 3 deletions(-) diff --git a/quinn/dataframe_validator.py b/quinn/dataframe_validator.py index 450b6d10..afd21c5a 100644 --- a/quinn/dataframe_validator.py +++ b/quinn/dataframe_validator.py @@ -36,9 +36,38 @@ def validate_presence_of_columns(df: DataFrame, required_col_names: list[str]) - error_message = f"The {missing_col_names} columns are not included in the DataFrame with the following columns {all_col_names}" if missing_col_names: raise DataFrameMissingColumnError(error_message) - - -def validate_schema( + +def validate_schema(required_schema: StructType, ignore_nullable=False, _func=None): + def decorator(func): + def wrapper(*args, **kwargs): + df = func(*args, **kwargs) + _all_struct_fields = copy.deepcopy(df.schema) + _required_schema = copy.deepcopy(required_schema) + + if ignore_nullable: + for x in _all_struct_fields: + x.nullable = None + + for x in _required_schema: + x.nullable = None + + missing_struct_fields = [x for x in _required_schema if x not in _all_struct_fields] + error_message = f"The {missing_struct_fields} StructFields are not included in the DataFrame with the following StructFields {_all_struct_fields}" + + if missing_struct_fields: + raise DataFrameMissingStructFieldError(error_message) + return df + return wrapper + + if _func is None: + # This means the function is being used as a decorator + return decorator + else: + # This means the function is being called directly with a DataFrame + return decorator(lambda: _func)() + + +def x_validate_schema( df: DataFrame, required_schema: StructType, ignore_nullable: bool = False, From 3188b549bb9bf00f7f3ad5be73db994f79ad775b Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 16:31:41 +0530 Subject: [PATCH 02/43] Fix to execute the validation when func is called and replaced the old func definition of validate_schema() --- quinn/dataframe_validator.py | 62 ++++++++++++++---------------------- 1 file changed, 24 insertions(+), 38 deletions(-) diff --git a/quinn/dataframe_validator.py b/quinn/dataframe_validator.py index afd21c5a..386979b7 100644 --- a/quinn/dataframe_validator.py +++ b/quinn/dataframe_validator.py @@ -37,7 +37,28 @@ def validate_presence_of_columns(df: DataFrame, required_col_names: list[str]) - if missing_col_names: raise DataFrameMissingColumnError(error_message) -def validate_schema(required_schema: StructType, ignore_nullable=False, _func=None): +def validate_schema( + required_schema: StructType, + ignore_nullable: bool = False, + _df: DataFrame = None +) -> function: + """Function that validate if a given DataFrame has a given StructType as its schema. + Implemented as a decorator factory so can be used both as a standalone function or as + a decorator to another function. + + :param required_schema: StructType required for the DataFrame + :type required_schema: StructType + :param ignore_nullable: (Optional) A flag for if nullable fields should be + ignored during validation + :type ignore_nullable: bool, optional + :param _df: DataFrame to validate, mandatory when called as a function. Not required + when called as a decorator + :type _df: DataFrame + + :raises DataFrameMissingStructFieldError: if any StructFields from the required + schema are not included in the DataFrame schema + """ + def decorator(func): def wrapper(*args, **kwargs): df = func(*args, **kwargs) @@ -59,47 +80,12 @@ def wrapper(*args, **kwargs): return df return wrapper - if _func is None: + if _df is None: # This means the function is being used as a decorator return decorator else: # This means the function is being called directly with a DataFrame - return decorator(lambda: _func)() - - -def x_validate_schema( - df: DataFrame, - required_schema: StructType, - ignore_nullable: bool = False, -) -> None: - """Function that validate if a given DataFrame has a given StructType as its schema. - - :param df: DataFrame to validate - :type df: DataFrame - :param required_schema: StructType required for the DataFrame - :type required_schema: StructType - :param ignore_nullable: (Optional) A flag for if nullable fields should be - ignored during validation - :type ignore_nullable: bool, optional - - :raises DataFrameMissingStructFieldError: if any StructFields from the required - schema are not included in the DataFrame schema - """ - _all_struct_fields = copy.deepcopy(df.schema) - _required_schema = copy.deepcopy(required_schema) - - if ignore_nullable: - for x in _all_struct_fields: - x.nullable = None - - for x in _required_schema: - x.nullable = None - - missing_struct_fields = [x for x in _required_schema if x not in _all_struct_fields] - error_message = f"The {missing_struct_fields} StructFields are not included in the DataFrame with the following StructFields {_all_struct_fields}" - - if missing_struct_fields: - raise DataFrameMissingStructFieldError(error_message) + return decorator(lambda: _df)() def validate_absence_of_columns(df: DataFrame, prohibited_col_names: list[str]) -> None: From a353a69bad9389705b5f7c7c6d9e681c6bb5a648 Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 16:35:49 +0530 Subject: [PATCH 03/43] Changes to tests to conform to new validate_schema definition --- tests/test_dataframe_validator.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_dataframe_validator.py b/tests/test_dataframe_validator.py index 19ac7b06..9d299392 100644 --- a/tests/test_dataframe_validator.py +++ b/tests/test_dataframe_validator.py @@ -34,7 +34,7 @@ def it_raises_when_struct_field_is_missing1(): ] ) with pytest.raises(quinn.DataFrameMissingStructFieldError) as excinfo: - quinn.validate_schema(source_df, required_schema) + quinn.validate_schema(required_schema, _df=source_df) current_spark_version = semver.Version.parse(spark.version) spark_330 = semver.Version.parse("3.3.0") @@ -53,7 +53,7 @@ def it_does_nothing_when_the_schema_matches(): StructField("age", LongType(), True), ] ) - quinn.validate_schema(source_df, required_schema) + quinn.validate_schema(required_schema, _df=source_df) def nullable_column_mismatches_are_ignored(): data = [("jose", 1), ("li", 2), ("luisa", 3)] @@ -64,7 +64,7 @@ def nullable_column_mismatches_are_ignored(): StructField("age", LongType(), False), ] ) - quinn.validate_schema(source_df, required_schema, ignore_nullable=True) + quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) def describe_validate_absence_of_columns(): From 85cc47a1e150514370222617495c969b7bf1e79d Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 17:36:05 +0530 Subject: [PATCH 04/43] Updating README description for validate_schema --- README.md | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3951f3ec..4ecae0a3 100644 --- a/README.md +++ b/README.md @@ -41,12 +41,29 @@ quinn.validate_presence_of_columns(source_df, ["name", "age", "fun"]) **validate_schema()** -Raises an exception unless `source_df` contains all the `StructFields` defined in the `required_schema`. +Raises an exception unless `source_df` contains all the `StructFields` defined in the `required_schema`. By default, `ignore_nullable` is set to False, so exception +will be raised even if column names and data types are matching but nullability conditions are mismatching. ```python -quinn.validate_schema(source_df, required_schema) +quinn.validate_schema(required_schema, _df=source_df) ``` +You can also set `ignore_nullable` to True, so the validation will happen only on column names and data types, not on nullability. + +```python +quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) +``` + +> [!TIP] +> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. +> +> ```python +> @quinn.validate_schema(required_schema, ignore_nullable=True) +> def get_df(): + return df +> ``` + + **validate_absence_of_columns()** Raises an exception if `source_df` contains `age` or `cool` columns. From e38ba8e599b32bdf230dbf848b8053c2551d1eda Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 17:38:52 +0530 Subject: [PATCH 05/43] README fix --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4ecae0a3..5cad801f 100644 --- a/README.md +++ b/README.md @@ -60,7 +60,7 @@ quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) > ```python > @quinn.validate_schema(required_schema, ignore_nullable=True) > def get_df(): - return df +> return df > ``` From e58ccdd17daae7bb229467a79511ecd982e877ec Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 17:50:45 +0530 Subject: [PATCH 06/43] Improved documentation in README --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 5cad801f..1bf9f21e 100644 --- a/README.md +++ b/README.md @@ -41,8 +41,7 @@ quinn.validate_presence_of_columns(source_df, ["name", "age", "fun"]) **validate_schema()** -Raises an exception unless `source_df` contains all the `StructFields` defined in the `required_schema`. By default, `ignore_nullable` is set to False, so exception -will be raised even if column names and data types are matching but nullability conditions are mismatching. +Raises an exception unless `source_df` contains all the `StructFields` defined in the `required_schema`. By default, `ignore_nullable` is set to False, so exception will be raised even if column names and data types are matching but nullability conditions are mismatching. ```python quinn.validate_schema(required_schema, _df=source_df) @@ -55,7 +54,7 @@ quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) ``` > [!TIP] -> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. +> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. When used as a decorator, you don't need to pass the `_df` argument as this validation is performed on the df returned by the base function on which the decorator is applied > > ```python > @quinn.validate_schema(required_schema, ignore_nullable=True) From fe843b5adcc4fcc776d55ecbd93c6218b2bb26af Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 17:51:32 +0530 Subject: [PATCH 07/43] Added success msg to be printed in case df schema matches the required schema --- quinn/dataframe_validator.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/quinn/dataframe_validator.py b/quinn/dataframe_validator.py index 386979b7..c4b20a64 100644 --- a/quinn/dataframe_validator.py +++ b/quinn/dataframe_validator.py @@ -77,6 +77,9 @@ def wrapper(*args, **kwargs): if missing_struct_fields: raise DataFrameMissingStructFieldError(error_message) + else: + print("Success! DataFrame matches the required schema!") + return df return wrapper From a964e1631ee353d7651b5174fd616c8232573c26 Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 18:52:28 +0530 Subject: [PATCH 08/43] Added a uncommitted directory for developers to store their scripts or code snippets relevant to quinn without making them visible to git --- .gitignore | 1 + quinn/uncommitted/.gitkeep | 0 2 files changed, 1 insertion(+) create mode 100644 quinn/uncommitted/.gitkeep diff --git a/.gitignore b/.gitignore index a554b523..a1db44eb 100644 --- a/.gitignore +++ b/.gitignore @@ -5,6 +5,7 @@ quinn.egg-info/ tmp/ .idea/ .DS_Store +uncommitted/ .coverage* diff --git a/quinn/uncommitted/.gitkeep b/quinn/uncommitted/.gitkeep new file mode 100644 index 00000000..e69de29b From c856f7938ab1d0268c1e57909a836c6a5305bc0f Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 18:53:01 +0530 Subject: [PATCH 09/43] Minor README documentation update --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1bf9f21e..524b288a 100644 --- a/README.md +++ b/README.md @@ -54,7 +54,7 @@ quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) ``` > [!TIP] -> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. When used as a decorator, you don't need to pass the `_df` argument as this validation is performed on the df returned by the base function on which the decorator is applied +> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. When used as a decorator, you don't need to pass the `_df` argument as this validation is performed on the df returned by the base function on which the decorator is applied. > > ```python > @quinn.validate_schema(required_schema, ignore_nullable=True) From 151dcc249deadb6d050a7720639b7515cec67ce2 Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 18:55:31 +0530 Subject: [PATCH 10/43] Moved uncommitted folder --- {quinn/uncommitted => uncommitted}/.gitkeep | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {quinn/uncommitted => uncommitted}/.gitkeep (100%) diff --git a/quinn/uncommitted/.gitkeep b/uncommitted/.gitkeep similarity index 100% rename from quinn/uncommitted/.gitkeep rename to uncommitted/.gitkeep From b9a6d088b40db9102e776658dc47888fc21f2fd5 Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Fri, 29 Mar 2024 20:44:43 +0530 Subject: [PATCH 11/43] Removing uncommitted dir --- .gitignore | 1 - uncommitted/.gitkeep | 0 2 files changed, 1 deletion(-) delete mode 100644 uncommitted/.gitkeep diff --git a/.gitignore b/.gitignore index a1db44eb..a554b523 100644 --- a/.gitignore +++ b/.gitignore @@ -5,7 +5,6 @@ quinn.egg-info/ tmp/ .idea/ .DS_Store -uncommitted/ .coverage* diff --git a/uncommitted/.gitkeep b/uncommitted/.gitkeep deleted file mode 100644 index e69de29b..00000000 From 7c8ae1622c187cc77fde9afede8d6787de6f1498 Mon Sep 17 00:00:00 2001 From: Fateme Tardasti Date: Fri, 12 Jul 2024 12:05:41 +0200 Subject: [PATCH 12/43] update column extension function names and desc in readme --- README.md | 20 ++++++++++---------- quinn/functions.py | 4 ++-- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 5bc3e910..1fbaa060 100644 --- a/README.md +++ b/README.md @@ -476,41 +476,41 @@ from quinn.extensions import * ### Column Extensions -**isFalsy()** +**is_falsy()** -Returns `True` if `has_stuff` is `None` or `False`. +Returns a Column indicating whether all values in the Column are False or NULL: `True` if `has_stuff` is `None` or `False`. ```python source_df.withColumn("is_stuff_falsy", F.col("has_stuff").isFalsy()) ``` -**isTruthy()** +**is_truthy()** -Returns `True` unless `has_stuff` is `None` or `False`. +Calculates a boolean expression that is the opposite of is_falsy for the given Column: `True` unless `has_stuff` is `None` or `False`. ```python source_df.withColumn("is_stuff_truthy", F.col("has_stuff").isTruthy()) ``` -**isNullOrBlank()** +**is_null_or_blank()** -Returns `True` if `blah` is `null` or blank (the empty string or a string that only contains whitespace). +Returns a Boolean value which expresses whether a given column is NULL or contains only blank characters: `True` if `blah` is `null` or blank (the empty string or a string that only contains whitespace). ```python source_df.withColumn("is_blah_null_or_blank", F.col("blah").isNullOrBlank()) ``` -**isNotIn()** +**is_not_in()** -Returns `True` if `fun_thing` is not included in the `bobs_hobbies` list. +To see if a value is not in a list of values: `True` if `fun_thing` is not included in the `bobs_hobbies` list. ```python source_df.withColumn("is_not_bobs_hobby", F.col("fun_thing").isNotIn(bobs_hobbies)) ``` -**nullBetween()** +**null_between()** -Returns `True` if `age` is between `lower_age` and `upper_age`. If `lower_age` is populated and `upper_age` is `null`, it will return `True` if `age` is greater than or equal to `lower_age`. If `lower_age` is `null` and `upper_age` is populate, it will return `True` if `age` is lower than or equal to `upper_age`. +To see if a value is between two values in a null friendly way: `True` if `age` is between `lower_age` and `upper_age`. If `lower_age` is populated and `upper_age` is `null`, it will return `True` if `age` is greater than or equal to `lower_age`. If `lower_age` is `null` and `upper_age` is populate, it will return `True` if `age` is lower than or equal to `upper_age`. ```python source_df.withColumn("is_between", F.col("age").nullBetween(F.col("lower_age"), F.col("upper_age"))) diff --git a/quinn/functions.py b/quinn/functions.py index f802ae55..d0e38638 100644 --- a/quinn/functions.py +++ b/quinn/functions.py @@ -318,9 +318,9 @@ def is_falsy(col: Column) -> Column: def is_truthy(col: Column) -> Column: - """Calculates a boolean expression that is the opposite of isFalsy for the given ``Column`` col. + """Calculates a boolean expression that is the opposite of is_falsy for the given ``Column`` col. - :param Column col: The ``Column`` to calculate the opposite of isFalsy for. + :param Column col: The ``Column`` to calculate the opposite of is_falsy for. :returns: A ``Column`` with the results of the calculation. :rtype: Column """ From 21d87e5f574729ad40c01fa8e7758b457a3c7d0f Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Tue, 16 Jul 2024 13:24:30 +0530 Subject: [PATCH 13/43] Static type error fixes --- quinn/dataframe_validator.py | 38 ++++++++++++++++++------------------ 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/quinn/dataframe_validator.py b/quinn/dataframe_validator.py index c4b20a64..8c667803 100644 --- a/quinn/dataframe_validator.py +++ b/quinn/dataframe_validator.py @@ -1,7 +1,7 @@ -from __future__ import annotations +from __future__ import annotations # noqa: I001 import copy -from typing import TYPE_CHECKING +from typing import Any, Callable, TYPE_CHECKING if TYPE_CHECKING: from pyspark.sql import DataFrame @@ -36,14 +36,14 @@ def validate_presence_of_columns(df: DataFrame, required_col_names: list[str]) - error_message = f"The {missing_col_names} columns are not included in the DataFrame with the following columns {all_col_names}" if missing_col_names: raise DataFrameMissingColumnError(error_message) - + def validate_schema( - required_schema: StructType, - ignore_nullable: bool = False, - _df: DataFrame = None -) -> function: + required_schema: StructType, + ignore_nullable: bool = False, + _df: DataFrame = None, +) -> Callable[[Any, Any], Any]: """Function that validate if a given DataFrame has a given StructType as its schema. - Implemented as a decorator factory so can be used both as a standalone function or as + Implemented as a decorator factory so can be used both as a standalone function or as a decorator to another function. :param required_schema: StructType required for the DataFrame @@ -59,10 +59,10 @@ def validate_schema( schema are not included in the DataFrame schema """ - def decorator(func): - def wrapper(*args, **kwargs): - df = func(*args, **kwargs) - _all_struct_fields = copy.deepcopy(df.schema) + def decorator(func: Callable[..., DataFrame]) -> Callable[..., DataFrame]: + def wrapper(*args: object, **kwargs: object) -> DataFrame: + dataframe = func(*args, **kwargs) + _all_struct_fields = copy.deepcopy(dataframe.schema) _required_schema = copy.deepcopy(required_schema) if ignore_nullable: @@ -73,22 +73,22 @@ def wrapper(*args, **kwargs): x.nullable = None missing_struct_fields = [x for x in _required_schema if x not in _all_struct_fields] - error_message = f"The {missing_struct_fields} StructFields are not included in the DataFrame with the following StructFields {_all_struct_fields}" + error_message = f"The {missing_struct_fields} StructFields are not included in the DataFrame with the following StructFields {_all_struct_fields}" # noqa: E501 if missing_struct_fields: raise DataFrameMissingStructFieldError(error_message) - else: - print("Success! DataFrame matches the required schema!") - return df + print("Success! DataFrame matches the required schema!") + + return dataframe return wrapper if _df is None: # This means the function is being used as a decorator return decorator - else: - # This means the function is being called directly with a DataFrame - return decorator(lambda: _df)() + + # This means the function is being called directly with a DataFrame + return decorator(lambda: _df)() def validate_absence_of_columns(df: DataFrame, prohibited_col_names: list[str]) -> None: From 1d33b91f014eecc32f97dd29d84a6dc6c2008b5f Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Tue, 16 Jul 2024 13:53:24 +0530 Subject: [PATCH 14/43] Changed _df param name to df_to_be_validated and associated tests changes --- quinn/dataframe_validator.py | 10 +++++----- tests/test_dataframe_validator.py | 6 +++--- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/quinn/dataframe_validator.py b/quinn/dataframe_validator.py index 0d7df9c8..3c235834 100644 --- a/quinn/dataframe_validator.py +++ b/quinn/dataframe_validator.py @@ -53,7 +53,7 @@ def validate_presence_of_columns(df: DataFrame, required_col_names: list[str]) - def validate_schema( required_schema: StructType, ignore_nullable: bool = False, - _df: DataFrame = None, + df_to_be_validated: DataFrame = None, ) -> Callable[[Any, Any], Any]: """Function that validate if a given DataFrame has a given StructType as its schema. Implemented as a decorator factory so can be used both as a standalone function or as @@ -64,9 +64,9 @@ def validate_schema( :param ignore_nullable: (Optional) A flag for if nullable fields should be ignored during validation :type ignore_nullable: bool, optional - :param _df: DataFrame to validate, mandatory when called as a function. Not required + :param df_to_be_validated: DataFrame to validate, mandatory when called as a function. Not required when called as a decorator - :type _df: DataFrame + :type df_to_be_validated: DataFrame :raises DataFrameMissingStructFieldError: if any StructFields from the required schema are not included in the DataFrame schema @@ -96,12 +96,12 @@ def wrapper(*args: object, **kwargs: object) -> DataFrame: return dataframe return wrapper - if _df is None: + if df_to_be_validated is None: # This means the function is being used as a decorator return decorator # This means the function is being called directly with a DataFrame - return decorator(lambda: _df)() + return decorator(lambda: df_to_be_validated)() def validate_absence_of_columns(df: DataFrame, prohibited_col_names: list[str]) -> None: diff --git a/tests/test_dataframe_validator.py b/tests/test_dataframe_validator.py index 9d299392..a71a55f3 100644 --- a/tests/test_dataframe_validator.py +++ b/tests/test_dataframe_validator.py @@ -34,7 +34,7 @@ def it_raises_when_struct_field_is_missing1(): ] ) with pytest.raises(quinn.DataFrameMissingStructFieldError) as excinfo: - quinn.validate_schema(required_schema, _df=source_df) + quinn.validate_schema(required_schema, df_to_be_validated=source_df) current_spark_version = semver.Version.parse(spark.version) spark_330 = semver.Version.parse("3.3.0") @@ -53,7 +53,7 @@ def it_does_nothing_when_the_schema_matches(): StructField("age", LongType(), True), ] ) - quinn.validate_schema(required_schema, _df=source_df) + quinn.validate_schema(required_schema, df_to_be_validated=source_df) def nullable_column_mismatches_are_ignored(): data = [("jose", 1), ("li", 2), ("luisa", 3)] @@ -64,7 +64,7 @@ def nullable_column_mismatches_are_ignored(): StructField("age", LongType(), False), ] ) - quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) + quinn.validate_schema(required_schema, ignore_nullable=True, df_to_be_validated=source_df) def describe_validate_absence_of_columns(): From 2fca007b24fc532a4de96981354862b44aef37a9 Mon Sep 17 00:00:00 2001 From: Kunal Bhattacharya Date: Tue, 16 Jul 2024 13:57:09 +0530 Subject: [PATCH 15/43] README changes for _df change --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c9cebabc..c9513c3a 100644 --- a/README.md +++ b/README.md @@ -44,17 +44,17 @@ quinn.validate_presence_of_columns(source_df, ["name", "age", "fun"]) Raises an exception unless `source_df` contains all the `StructFields` defined in the `required_schema`. By default, `ignore_nullable` is set to False, so exception will be raised even if column names and data types are matching but nullability conditions are mismatching. ```python -quinn.validate_schema(required_schema, _df=source_df) +quinn.validate_schema(required_schema, df_to_be_validated=source_df) ``` You can also set `ignore_nullable` to True, so the validation will happen only on column names and data types, not on nullability. ```python -quinn.validate_schema(required_schema, ignore_nullable=True, _df=source_df) +quinn.validate_schema(required_schema, ignore_nullable=True, df_to_be_validated=source_df) ``` > [!TIP] -> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. When used as a decorator, you don't need to pass the `_df` argument as this validation is performed on the df returned by the base function on which the decorator is applied. +> This function can also be used as a decorator to other functions that return a dataframe. This can help validate the schema of the returned df. When used as a decorator, you don't need to pass the `df_to_be_validated` argument as this validation is performed on the df returned by the base function on which the decorator is applied. > > ```python > @quinn.validate_schema(required_schema, ignore_nullable=True) From c4cc8af5f2a91c24a7703d9bba1dc7fe6b9b6142 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Wed, 10 Jul 2024 10:34:26 +1000 Subject: [PATCH 16/43] Remove the print_athena_create_table function * According to one of the points in the issue #199 by @MrPowers, this function should never have been created. * This particular commit removes this function and its references from the quinn repo. --- quinn/__init__.py | 1 - quinn/dataframe_helpers.py | 46 +++++---------------------------- tests/test_dataframe_helpers.py | 24 +++++------------ 3 files changed, 13 insertions(+), 58 deletions(-) diff --git a/quinn/__init__.py b/quinn/__init__.py index feca32c8..119cf8a7 100644 --- a/quinn/__init__.py +++ b/quinn/__init__.py @@ -17,7 +17,6 @@ from quinn.dataframe_helpers import ( column_to_list, create_df, - print_athena_create_table, show_output_to_df, to_list_of_dictionaries, two_columns_to_dictionary, diff --git a/quinn/dataframe_helpers.py b/quinn/dataframe_helpers.py index 2a5e10e8..c69af269 100644 --- a/quinn/dataframe_helpers.py +++ b/quinn/dataframe_helpers.py @@ -18,7 +18,6 @@ if TYPE_CHECKING: from pyspark.sql import DataFrame, SparkSession import sys -import warnings from typing import Any from pyspark.sql.types import StructField, StructType @@ -46,10 +45,10 @@ def column_to_list(df: DataFrame, col_name: str) -> list[Any]: return [row[0] for row in df.select(col_name).collect()] pyarrow_enabled = ( - spark_session.conf.get( - "spark.sql.execution.arrow.pyspark.enabled", - ) - == "true" + spark_session.conf.get( + "spark.sql.execution.arrow.pyspark.enabled", + ) + == "true" ) pyarrow_valid = pyarrow_enabled and sys.modules["pyarrow"].__version__ >= "0.17.0" @@ -64,9 +63,9 @@ def column_to_list(df: DataFrame, col_name: str) -> list[Any]: def two_columns_to_dictionary( - df: DataFrame, - key_col_name: str, - value_col_name: str, + df: DataFrame, + key_col_name: str, + value_col_name: str, ) -> dict[str, Any]: """Collect two columns as dictionary when first column is key and second is value. @@ -94,37 +93,6 @@ def to_list_of_dictionaries(df: DataFrame) -> list[dict[str, Any]]: return list(map(lambda r: r.asDict(), df.collect())) # noqa: C417 -def print_athena_create_table( - df: DataFrame, - athena_table_name: str, - s3location: str, -) -> None: - """Generate the Athena create table statement for a given DataFrame. - :param df: The pyspark.sql.DataFrame to use - :param athena_table_name: The name of the athena table to generate - :param s3location: The S3 location of the parquet data - :return: None. - """ - warnings.warn( - "Function print_athena_create_table is deprecated and will be removed in the version 1.0", - category=DeprecationWarning, - stacklevel=2, - ) - - fields = df.schema - - print(f"CREATE EXTERNAL TABLE IF NOT EXISTS `{athena_table_name}` ( ") - - for field in fields.fieldNames()[:-1]: - print("\t", f"`{fields[field].name}` {fields[field].dataType.simpleString()}, ") - last = fields[fields.fieldNames()[-1]] - print("\t", f"`{last.name}` {last.dataType.simpleString()} ") - - print(")") - print("STORED AS PARQUET") - print(f"LOCATION '{s3location}'\n") - - def show_output_to_df(show_output: str, spark: SparkSession) -> DataFrame: """Show output as spark DataFrame. diff --git a/tests/test_dataframe_helpers.py b/tests/test_dataframe_helpers.py index f8ea0769..d184759e 100644 --- a/tests/test_dataframe_helpers.py +++ b/tests/test_dataframe_helpers.py @@ -1,7 +1,9 @@ +import chispa +from pyspark.sql.types import IntegerType, StringType, StructField, StructType + import quinn + from .spark import spark -import chispa -from pyspark.sql.types import IntegerType, StringType, StructType, StructField def describe_column_to_list(): @@ -49,25 +51,11 @@ def it_converts_a_show_string_to_a_dataframe(): ("liz", "3", "nice person", "yoyo"), ] expected_df = spark.createDataFrame( - expected_data, ["name", "age", "stuff1", "stuff2"] + expected_data, ["name", "age", "stuff1", "stuff2"], ) chispa.assert_df_equality(expected_df, actual_df) -def describe_print_athena_create_table(): - def it_prints_a_create_table_string_for_athena(capsys): - source_df = spark.createDataFrame( - [("jets", "football", 45), ("nacional", "soccer", 10)], - ["team", "sport", "goals_for"], - ) - quinn.print_athena_create_table(source_df, "athena_table", "s3://mock") - out, _ = capsys.readouterr() - assert ( - out - == "CREATE EXTERNAL TABLE IF NOT EXISTS `athena_table` ( \n\t `team` string, \n\t `sport` string, \n\t `goals_for` bigint \n)\nSTORED AS PARQUET\nLOCATION 's3://mock'\n\n" # noqa - ) - - def test_create_df(): rows_data = [("jose", 1), ("li", 2), ("luisa", 3)] col_specs = [("name", StringType()), ("age", IntegerType())] @@ -76,7 +64,7 @@ def test_create_df(): [ StructField("name", StringType(), True), StructField("age", IntegerType(), True), - ] + ], ) actual = quinn.create_df(spark, rows_data, col_specs) expected = spark.createDataFrame(rows_data, expected_schema) From 5faadaef030ebb111cbbc44c04f6aba0eb05fa3a Mon Sep 17 00:00:00 2001 From: Nijanthan Vijayakumar <6072170+nijanthanvijayakumar@users.noreply.github.com> Date: Mon, 8 Jul 2024 11:49:40 +1000 Subject: [PATCH 17/43] Remove deprecated functions exists and forall Deprecate and remove `exists` and `forall` functions from the codebase. * Remove `exists` and `forall` functions from `quinn/functions.py`. * Remove import statements for `exists` and `forall` from `quinn/__init__.py`. * Remove tests related to `exists` and `forall` functions from `tests/test_functions.py`. --- quinn/__init__.py | 2 -- quinn/functions.py | 39 --------------------------------------- tests/test_functions.py | 40 ---------------------------------------- 3 files changed, 81 deletions(-) diff --git a/quinn/__init__.py b/quinn/__init__.py index 119cf8a7..469cac82 100644 --- a/quinn/__init__.py +++ b/quinn/__init__.py @@ -34,8 +34,6 @@ approx_equal, array_choice, business_days_between, - exists, - forall, is_false, is_falsy, is_not_in, diff --git a/quinn/functions.py b/quinn/functions.py index d0e38638..e28f8d0f 100644 --- a/quinn/functions.py +++ b/quinn/functions.py @@ -84,45 +84,6 @@ def remove_non_word_characters(col: Column) -> Column: return F.regexp_replace(col, "[^\\w\\s]+", "") -def exists(f: Callable[[Any], bool]) -> udf: - """Create a user-defined function. - - It takes a list expressed as a column of type ``ArrayType(AnyType)`` as an argument and returns a boolean value indicating - whether any element in the list is true according to the argument ``f`` of the ``exists()`` function. - - :param f: Callable function - A callable function that takes an element of - type Any and returns a boolean value. - :return: A user-defined function that takes - a list expressed as a column of type ArrayType(AnyType) as an argument and - returns a boolean value indicating whether any element in the list is true - according to the argument ``f`` of the ``exists()`` function. - :rtype: UserDefinedFunction - """ - - def temp_udf(list_: list) -> bool: - return any(map(f, list_)) - - return F.udf(temp_udf, BooleanType()) - - -def forall(f: Callable[[Any], bool]) -> udf: - """The **forall** function allows for mapping a given boolean function to a list of arguments and return a single boolean value. - - It does this by creating a Spark UDF which takes in a list of arguments, applying the given boolean function to - each element of the list and returning a single boolean value if all the elements pass through the given boolean function. - - :param f: A callable function ``f`` which takes in any type and returns a boolean - :return: A spark UDF which accepts a list of arguments and returns True if all - elements pass through the given boolean function, False otherwise. - :rtype: UserDefinedFunction - """ - - def temp_udf(list_: list) -> bool: - return all(map(f, list_)) - - return F.udf(temp_udf, BooleanType()) - - def multi_equals(value: Any) -> udf: # noqa: ANN401 """Create a user-defined function that checks if all the given columns have the designated value. diff --git a/tests/test_functions.py b/tests/test_functions.py index 7277bdcf..c3a0e3f4 100644 --- a/tests/test_functions.py +++ b/tests/test_functions.py @@ -97,46 +97,6 @@ def test_anti_trim(): chispa.assert_column_equality(actual_df, "words_anti_trimmed", "expected") -def test_exists(): - df = spark.createDataFrame( - [ - ([1, 2, 3], False), - ([4, 5, 6], True), - ([10, 11, 12], True), - ], - StructType( - [ - StructField("nums", ArrayType(IntegerType(), True), True), - StructField("expected", BooleanType(), True), - ] - ), - ) - actual_df = df.withColumn( - "any_num_greater_than_5", quinn.exists(lambda n: n > 5)(F.col("nums")) - ) - chispa.assert_column_equality(actual_df, "any_num_greater_than_5", "expected") - - -def test_forall(): - df = spark.createDataFrame( - [ - ([1, 2, 3], False), - ([4, 5, 6], True), - ([10, 11, 12], True), - ], - StructType( - [ - StructField("nums", ArrayType(IntegerType(), True), True), - StructField("expected", BooleanType(), True), - ] - ), - ) - actual_df = df.withColumn( - "all_nums_greater_than_3", quinn.forall(lambda n: n > 3)(F.col("nums")) - ) - chispa.assert_column_equality(actual_df, "all_nums_greater_than_3", "expected") - - def test_multi_equals(): df = quinn.create_df( spark, From 0823158f3516cd49c8698997cbec9efe10f19f9f Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 8 Jul 2024 11:57:50 +1000 Subject: [PATCH 18/43] Remove imported and unused Callable module to avoid ruff lint failure --- quinn/functions.py | 1 - 1 file changed, 1 deletion(-) diff --git a/quinn/functions.py b/quinn/functions.py index e28f8d0f..f8b37c7a 100644 --- a/quinn/functions.py +++ b/quinn/functions.py @@ -16,7 +16,6 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from collections.abc import Callable from numbers import Number from pyspark.sql import Column From a9b040f2224ec9c4abe5a8c6112f726765b729d0 Mon Sep 17 00:00:00 2001 From: semyonsinchenko Date: Sun, 14 Jul 2024 11:42:36 +0200 Subject: [PATCH 19/43] Drop Spark-2 support and update dependencies - Update deps - Update Ruff - Corresponding updates of pyproject - Slightly update Makefile - Drop Support of Spark2 - Drop Support of Spark 3.1-3.2 - Minimal python is 3.10 from now - Apply new ruff rules - Apply ruff linter On branch 202-drop-pyspark2 Changes to be committed: modified: .github/workflows/ci.yml modified: Makefile modified: poetry.lock modified: pyproject.toml modified: quinn/append_if_schema_identical.py modified: quinn/dataframe_helpers.py modified: quinn/keyword_finder.py modified: quinn/math.py modified: quinn/schema_helpers.py modified: quinn/split_columns.py modified: quinn/transformations.py --- .github/workflows/ci.yml | 40 +- Makefile | 17 + poetry.lock | 2288 +++++++++++++-------------- pyproject.toml | 36 +- quinn/append_if_schema_identical.py | 4 +- quinn/dataframe_helpers.py | 14 +- quinn/keyword_finder.py | 1 + quinn/math.py | 7 +- quinn/schema_helpers.py | 10 +- quinn/split_columns.py | 8 +- quinn/transformations.py | 33 +- 11 files changed, 1194 insertions(+), 1264 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 538a84b2..dc7626f3 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,18 +17,12 @@ jobs: fail-fast: false matrix: include: - - pyspark-version: 2.4.8 # latest published 2.x version - pip-packages: "pypandoc==1.7 pyspark==2.4.8" # downgrade of pypandoc necessary - - pyspark-version: 3.0.3 - pip-packages: "pyspark==3.0.3" - - pyspark-version: 3.1.3 - pip-packages: "pyspark==3.1.3" - - pyspark-version: 3.2.4 - pip-packages: "pyspark==3.2.4" - - pyspark-version: 3.3.2 - pip-packages: "pyspark==3.3.2" - - pyspark-version: 3.4.0 - pip-packages: "pyspark==3.4.0" + - pyspark-version: 3.3.4 + pip-packages: "pyspark==3.3.4" + - pyspark-version: 3.4.3 + pip-packages: "pyspark==3.4.3" + - pyspark-version: 3.5.1 + pip-packages: "pyspark==3.5.1" steps: - uses: actions/checkout@v1 @@ -39,33 +33,17 @@ jobs: uses: actions/setup-java@v3 with: distribution: 'zulu' - java-version: '8' # Supported by Spark 2.x & 3.x - - - name: Get supported Python Version depending on PySpark - uses: haya14busa/action-cond@v1 - id: python_version - with: - cond: ${{ startsWith(matrix.pyspark-version, '2.') }} - if_true: '3.7' # latest supported version for PySpark 2.x - if_false: '3.9' # PySpark 3+ + java-version: '17' # Spark 4.0 will drop Java 11; - name: Set up Python ${{ steps.python_version.outputs.value }} uses: actions/setup-python@v2 with: - python-version: ${{ steps.python_version.outputs.value }} - - - name: Get supported Poetry version - uses: haya14busa/action-cond@v1 - id: poetry_version - with: - cond: ${{ startsWith(matrix.pyspark-version, '2.') }} - if_true: '1.5.1' # latest supported version for PySpark 2.x - if_false: '1.6.1' # PySpark 3+ + python-version: '3.10' - name: Install Poetry uses: snok/install-poetry@v1 with: - version: ${{ steps.poetry_version.outputs.value }} + version: '1.6.1' - name: Cache Poetry virtualenv uses: actions/cache@v1 diff --git a/Makefile b/Makefile index 92839dbc..7cf6168c 100644 --- a/Makefile +++ b/Makefile @@ -1,5 +1,7 @@ # COMMON CLI COMMANDS FOR DEVELOPMENT +all: help + .PHONY: install_test install_test: @poetry install --with=development,testing @@ -19,3 +21,18 @@ test: .PHONY: lint lint: @poetry run ruff check --fix quinn + +.PHONY: format +format: + @poetry run ruff format quinn + +.PHONY: help +help: + @echo '................... Quin ..........................' + @echo 'help - print that message' + @echo 'lint - run linter' + @echo 'format - reformat the code' + @echo 'test - run tests' + @echo 'install_test - install test deps' + @echo 'install_deps - install dev deps' + @echo 'update_deps - update and install deps' diff --git a/poetry.lock b/poetry.lock index 4e9931c1..b966b288 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,55 +1,26 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. - -[[package]] -name = "aiofiles" -version = "22.1.0" -description = "File support for asyncio." -optional = false -python-versions = ">=3.7,<4.0" -files = [ - {file = "aiofiles-22.1.0-py3-none-any.whl", hash = "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad"}, - {file = "aiofiles-22.1.0.tar.gz", hash = "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"}, -] - -[[package]] -name = "aiosqlite" -version = "0.19.0" -description = "asyncio bridge to the standard sqlite3 module" -optional = false -python-versions = ">=3.7" -files = [ - {file = "aiosqlite-0.19.0-py3-none-any.whl", hash = "sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96"}, - {file = "aiosqlite-0.19.0.tar.gz", hash = "sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d"}, -] - -[package.dependencies] -typing_extensions = {version = ">=4.0", markers = "python_version < \"3.8\""} - -[package.extras] -dev = ["aiounittest (==1.4.1)", "attribution (==1.6.2)", "black (==23.3.0)", "coverage[toml] (==7.2.3)", "flake8 (==5.0.4)", "flake8-bugbear (==23.3.12)", "flit (==3.7.1)", "mypy (==1.2.0)", "ufmt (==2.1.0)", "usort (==1.0.6)"] -docs = ["sphinx (==6.1.3)", "sphinx-mdinclude (==0.5.3)"] +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "anyio" -version = "3.7.1" +version = "4.4.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"}, - {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"}, + {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, + {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, ] [package.dependencies] -exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} idna = ">=2.8" sniffio = ">=1.1" -typing-extensions = {version = "*", markers = "python_version < \"3.8\""} +typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} [package.extras] -doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"] -test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] -trio = ["trio (<0.22)"] +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (>=0.23)"] [[package]] name = "appnope" @@ -75,7 +46,6 @@ files = [ [package.dependencies] argon2-cffi-bindings = "*" -typing-extensions = {version = "*", markers = "python_version < \"3.8\""} [package.extras] dev = ["argon2-cffi[tests,typing]", "tox (>4)"] @@ -122,18 +92,54 @@ tests = ["pytest"] [[package]] name = "arrow" -version = "1.2.3" +version = "1.3.0" description = "Better dates & times for Python" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"}, - {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"}, + {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, + {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, ] [package.dependencies] python-dateutil = ">=2.7.0" -typing-extensions = {version = "*", markers = "python_version < \"3.8\""} +types-python-dateutil = ">=2.8.10" + +[package.extras] +doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] 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(>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [metadata] lock-version = "2.0" -python-versions = ">=3.7,<4.0" -content-hash = "ac991159dc247652a6701ba66b38ab508fb938345d2102d83ce0da9d141a7ff8" +python-versions = ">=3.9,<4.0" +content-hash = "55aaef99d9e3ff43b14a32ff9fc8219575ad42c8597b4520121a4927bd293b95" diff --git a/pyproject.toml b/pyproject.toml index b0f5ed10..b20c0726 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "quinn" -version = "0.10.3" +version = "1.0" description = "Pyspark helper methods to maximize developer efficiency" authors = ["MrPowers "] @@ -22,7 +22,7 @@ build-backend = "poetry.masonry.api" ########################################################################### [tool.poetry.dependencies] -python = ">=3.7,<4.0" +python = ">=3.9,<4.0" ########################################################################### @@ -42,26 +42,28 @@ optional = true optional = true [tool.poetry.group.development.dependencies] -pyspark = ">2" +pyspark = ">3" semver = "^3" [tool.poetry.group.testing.dependencies] pytest = "^7" -chispa = "0.9.4" +chispa = "^0.10" pytest-describe = "^2" -pyspark = ">2" +pyspark = ">3" semver = "^3" [tool.poetry.group.linting.dependencies] -ruff = "^0.0.291" +ruff = "^0.5" [tool.poetry.group.docs.dependencies] -mkdocstrings-python = "^0.8.3" -mkdocs-gen-files = "^0.4.0" -mkdocs-literate-nav = "^0.6.0" -mkdocs-section-index = "^0.3.5" -markdown-include = "^0.8.1" -mkdocs = "^1" +# All the dependencies related to mkdocs; +# We are pinning only the main version of mkdocs. +mkdocstrings-python = "*" +mkdocs-gen-files = "*" +mkdocs-literate-nav = "*" +mkdocs-section-index = "*" +markdown-include = "*" +mkdocs = "^1.6" jupyterlab = "*" mkdocs-jupyter = "*" mkdocs-material = "*" @@ -74,8 +76,11 @@ markdown-exec = "*" ########################################################################### [tool.ruff] -select = ["ALL"] line-length = 150 +extend-exclude = ["tests", "docs"] + +[tool.ruff.lint] +select = ["ALL"] ignore = [ "D100", "D203", # Ignore blank line before summary of class @@ -94,10 +99,11 @@ ignore = [ "PTH123", # Don't force use of Pathlib "PTH207", # Don't force use of Pathlib "PTH113", # Don't force use of Pathlib + "ISC001", # Recommended by Ruff + "COM812", # Recommended by Ruff ] -extend-exclude = ["tests", "docs"] -[tool.ruff.per-file-ignores] +[tool.ruff.lint.per-file-ignores] "quinn/extensions/column_ext.py" = ["FBT003", "N802"] "quinn/extensions/__init__.py" = ["F401", "F403"] "quinn/__init__.py" = ["F401", "F403"] diff --git a/quinn/append_if_schema_identical.py b/quinn/append_if_schema_identical.py index 6c4e879b..ac05f1ee 100644 --- a/quinn/append_if_schema_identical.py +++ b/quinn/append_if_schema_identical.py @@ -36,9 +36,7 @@ def append_if_schema_identical(source_df: DataFrame, target_df: DataFrame) -> Da source_schema_list = [(field.name, str(field.dataType)) for field in source_schema] target_schema_list = [(field.name, str(field.dataType)) for field in target_schema] - unmatched_cols = [ - col for col in source_schema_list if col not in target_schema_list - ] + unmatched_cols = [col for col in source_schema_list if col not in target_schema_list] error_message = ( f"The schemas of the source and target dataframes are not identical." f"From source schema column {unmatched_cols} is missing in target schema" diff --git a/quinn/dataframe_helpers.py b/quinn/dataframe_helpers.py index c69af269..03634f6a 100644 --- a/quinn/dataframe_helpers.py +++ b/quinn/dataframe_helpers.py @@ -45,10 +45,10 @@ def column_to_list(df: DataFrame, col_name: str) -> list[Any]: return [row[0] for row in df.select(col_name).collect()] pyarrow_enabled = ( - spark_session.conf.get( - "spark.sql.execution.arrow.pyspark.enabled", - ) - == "true" + spark_session.conf.get( + "spark.sql.execution.arrow.pyspark.enabled", + ) + == "true" ) pyarrow_valid = pyarrow_enabled and sys.modules["pyarrow"].__version__ >= "0.17.0" @@ -63,9 +63,9 @@ def column_to_list(df: DataFrame, col_name: str) -> list[Any]: def two_columns_to_dictionary( - df: DataFrame, - key_col_name: str, - value_col_name: str, + df: DataFrame, + key_col_name: str, + value_col_name: str, ) -> dict[str, Any]: """Collect two columns as dictionary when first column is key and second is value. diff --git a/quinn/keyword_finder.py b/quinn/keyword_finder.py index c3facc9a..be584ab1 100644 --- a/quinn/keyword_finder.py +++ b/quinn/keyword_finder.py @@ -54,6 +54,7 @@ "sparkContext", ] + @dataclass class SearchResult: """Class to hold the results of a file search. diff --git a/quinn/math.py b/quinn/math.py index 3ba9e54a..e385b1ff 100644 --- a/quinn/math.py +++ b/quinn/math.py @@ -12,6 +12,7 @@ # limitations under the License. """Math routines for PySpark.""" + from __future__ import annotations from typing import Optional, Union @@ -40,11 +41,7 @@ def rand_laplace( u = F.rand(seed) - return ( - F.when(u < F.lit(0.5), mu + beta * F.log(2 * u)) - .otherwise(mu - beta * F.log(2 * (1 - u))) - .alias("laplace_random") - ) + return F.when(u < F.lit(0.5), mu + beta * F.log(2 * u)).otherwise(mu - beta * F.log(2 * (1 - u))).alias("laplace_random") def div_or_else( diff --git a/quinn/schema_helpers.py b/quinn/schema_helpers.py index b86082ea..8fd18b1a 100644 --- a/quinn/schema_helpers.py +++ b/quinn/schema_helpers.py @@ -159,8 +159,8 @@ def _convert_nullable(null_str: str) -> bool: field = T.StructField( name=row["name"], dataType=_lookup_type(row["type"]), - nullable=_convert_nullable(row["nullable"]) if "nullable" in row else True, - metadata=_validate_json(row["metadata"] if "metadata" in row else None), + nullable=_convert_nullable(row.get("nullable", True)), + metadata=_validate_json(row.get("metadata", None)), ) fields.append(field) @@ -175,8 +175,4 @@ def complex_fields(schema: T.StructType) -> dict[str, object]: :return: A dictionary with complex field names as keys and their respective data types as values. :rtype: Dict[str, object] """ - return { - field.name: field.dataType - for field in schema.fields - if isinstance(field.dataType, (T.ArrayType, T.StructType, T.MapType)) - } + return {field.name: field.dataType for field in schema.fields if isinstance(field.dataType, (T.ArrayType, T.StructType, T.MapType))} diff --git a/quinn/split_columns.py b/quinn/split_columns.py index 178a69da..e2bdef87 100644 --- a/quinn/split_columns.py +++ b/quinn/split_columns.py @@ -117,17 +117,15 @@ def _num_delimiter(col_value1: str) -> int: df = df.withColumn("del_length", num_udf(df[col_name])) # noqa: PD901 df.cache() # Drop the original column if the new columns were created successfully - df = df.select( # noqa: PD901 + df = df.select( # noqa: PD901 [c for c in df.columns if c not in {"del_length", col_name}], ) elif mode == "permissive": # Create an array of select expressions to create new columns from the split values # Use the default value if a split value is missing or empty - select_exprs = select_exprs = [ - when(length(split_col_expr.getItem(i)) > 0, split_col_expr.getItem(i)) - .otherwise(default) - .alias(new_col_names[i]) + select_exprs = [ + when(length(split_col_expr.getItem(i)) > 0, split_col_expr.getItem(i)).otherwise(default).alias(new_col_names[i]) for i in range(len(new_col_names)) ] diff --git a/quinn/transformations.py b/quinn/transformations.py index c9870ba9..0acd4608 100644 --- a/quinn/transformations.py +++ b/quinn/transformations.py @@ -64,12 +64,7 @@ def with_some_columns_renamed( """ def _(df: DataFrame) -> DataFrame: - cols = [ - F.col(f"`{col_name}`").alias(fun(col_name)) - if change_col_name(col_name) - else F.col(f"`{col_name}`") - for col_name in df.columns - ] + cols = [F.col(f"`{col_name}`").alias(fun(col_name)) if change_col_name(col_name) else F.col(f"`{col_name}`") for col_name in df.columns] return df.select(*cols) return _ @@ -120,7 +115,9 @@ def sort_columns( # noqa: C901,PLR0915 """ def sort_nested_cols( - schema: StructType, is_reversed: bool, base_field: str="", + schema: StructType, + is_reversed: bool, + base_field: str = "", ) -> list[str]: # recursively check nested fields and sort them # https://stackoverflow.com/questions/57821538/how-to-sort-columns-of-nested-structs-alphabetically-in-pyspark @@ -146,7 +143,9 @@ def parse_fields( results.extend( sort_nested_cols( - new_struct, is_reversed, base_field=new_base_field, + new_struct, + is_reversed, + base_field=new_base_field, ), ) return results @@ -242,10 +241,7 @@ def fix_nullability(field: StructField, result_dict: dict) -> None: if not sort_nested: return top_level_sorted_df - is_nested: bool = any( - isinstance(i.dataType, (StructType, ArrayType)) - for i in top_level_sorted_df.schema - ) + is_nested: bool = any(isinstance(i.dataType, (StructType, ArrayType)) for i in top_level_sorted_df.schema) if not is_nested: return top_level_sorted_df @@ -281,10 +277,7 @@ def flatten_struct(df: DataFrame, col_name: str, separator: str = ":") -> DataFr :rtype: List[Column] """ struct_type = complex_fields(df.schema)[col_name] - expanded = [ - F.col(f"`{col_name}`.`{k}`").alias(col_name + separator + k) - for k in [n.name for n in struct_type.fields] - ] + expanded = [F.col(f"`{col_name}`.`{k}`").alias(col_name + separator + k) for k in [n.name for n in struct_type.fields]] return df.select("*", *expanded).drop(F.col(f"`{col_name}`")) @@ -302,9 +295,7 @@ def flatten_map(df: DataFrame, col_name: str, separator: str = ":") -> DataFrame """ keys_df = df.select(F.explode_outer(F.map_keys(F.col(f"`{col_name}`")))).distinct() keys = [row[0] for row in keys_df.collect()] - key_cols = [ - F.col(f"`{col_name}`").getItem(k).alias(col_name + separator + k) for k in keys - ] + key_cols = [F.col(f"`{col_name}`").getItem(k).alias(col_name + separator + k) for k in keys] return df.select( [F.col(f"`{col}`") for col in df.columns if col != col_name] + key_cols, ) @@ -407,9 +398,7 @@ def explode_array(df: DataFrame, col_name: str) -> DataFrame: # Sanitize column names with the specified replace_char if sanitized_columns: - sanitized_columns = [ - sanitize_column_name(col_name, replace_char) for col_name in df.columns - ] + sanitized_columns = [sanitize_column_name(col_name, replace_char) for col_name in df.columns] df = df.toDF(*sanitized_columns) # noqa: PD901 return df From 60c7fb7c6f99aa05fb55bc51b903ce101c4a26b2 Mon Sep 17 00:00:00 2001 From: semyonsinchenko Date: Sun, 14 Jul 2024 11:47:01 +0200 Subject: [PATCH 20/43] Update linting CI --- .github/workflows/lint.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/lint.yaml b/.github/workflows/lint.yaml index c6dafa5f..fff83244 100644 --- a/.github/workflows/lint.yaml +++ b/.github/workflows/lint.yaml @@ -9,8 +9,8 @@ jobs: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: 3.10 - name: Run Ruff uses: chartboost/ruff-action@v1 with: - version: 0.0.291 + version: 0.5.1 From 5b545ef39d0dc03d5d12670ee6209c615f0e2896 Mon Sep 17 00:00:00 2001 From: semyonsinchenko Date: Sun, 14 Jul 2024 11:47:49 +0200 Subject: [PATCH 21/43] Fix typo in CI --- .github/workflows/lint.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/lint.yaml b/.github/workflows/lint.yaml index fff83244..ff5aa621 100644 --- a/.github/workflows/lint.yaml +++ b/.github/workflows/lint.yaml @@ -9,7 +9,7 @@ jobs: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: - python-version: 3.10 + python-version: '3.10' - name: Run Ruff uses: chartboost/ruff-action@v1 with: From e505a21038a49ed5509fc5d2745d2f30eb315b21 Mon Sep 17 00:00:00 2001 From: semyonsinchenko Date: Sun, 14 Jul 2024 12:11:58 +0200 Subject: [PATCH 22/43] Fix failed tests --- quinn/schema_helpers.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/quinn/schema_helpers.py b/quinn/schema_helpers.py index 8fd18b1a..d314ff1b 100644 --- a/quinn/schema_helpers.py +++ b/quinn/schema_helpers.py @@ -132,7 +132,7 @@ def _lookup_type(type_str: str) -> T.DataType: return type_lookup[type_str] - def _convert_nullable(null_str: str) -> bool: + def _convert_nullable(null_str: Optional[str]) -> bool: if null_str is None: return True @@ -159,8 +159,8 @@ def _convert_nullable(null_str: str) -> bool: field = T.StructField( name=row["name"], dataType=_lookup_type(row["type"]), - nullable=_convert_nullable(row.get("nullable", True)), - metadata=_validate_json(row.get("metadata", None)), + nullable=_convert_nullable(row["nullable"]) if "nullable" in row else True, + metadata=_validate_json(row["metadata"] if "metadata" in row else None), # noqa: SIM401 ) fields.append(field) @@ -175,4 +175,8 @@ def complex_fields(schema: T.StructType) -> dict[str, object]: :return: A dictionary with complex field names as keys and their respective data types as values. :rtype: Dict[str, object] """ - return {field.name: field.dataType for field in schema.fields if isinstance(field.dataType, (T.ArrayType, T.StructType, T.MapType))} + return { + field.name: field.dataType + for field in schema.fields + if isinstance(field.dataType, (T.ArrayType, T.StructType, T.MapType)) + } From 78025456a401f041fc50b4b1d2a419465738cf3f Mon Sep 17 00:00:00 2001 From: semyonsinchenko Date: Sun, 14 Jul 2024 16:57:59 +0200 Subject: [PATCH 23/43] Updates from review --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index b20c0726..55f79750 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "quinn" -version = "1.0" +version = "1.0.0" description = "Pyspark helper methods to maximize developer efficiency" authors = ["MrPowers "] From e6ee244c1e25ada5fc555b70b2e84cd1f88e4560 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 08:57:34 +1000 Subject: [PATCH 24/43] Create the first-version of files for Spark-Connect tests This commit introduces the following changes: * Updates the `ci.yml` file by introducing a new step under the `test` job to perform tests using Spark-Connect. * Creates a shell-script that downloads & installs Spark binaries and then runs the Spark-Connect server. * Creates a pytest module/file that tests a very simple function on Spark-Connect. * Updates the Makefile to add a new step for the Spark-Connect tests. --- .github/workflows/ci.yml | 9 +++++++++ Makefile | 6 +++++- scripts/run_spark_connect_server.sh | 28 ++++++++++++++++++++++++++++ tests/test_spark_connect.py | 26 ++++++++++++++++++++++++++ 4 files changed, 68 insertions(+), 1 deletion(-) create mode 100644 scripts/run_spark_connect_server.sh create mode 100644 tests/test_spark_connect.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index dc7626f3..688a539a 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -66,6 +66,15 @@ jobs: - name: Run tests with pytest against PySpark ${{ matrix.pyspark-version }} run: make test + - name: Run tests using Spark-Connect + run: | + sh scripts/run_spark_connect_server.sh + make test_spark_connect + env: + HADOOP_VERSION: 3 + SPARK_VERSION: ${{ matrix.pyspark-version }} + + check-license-headers: runs-on: ubuntu-latest steps: diff --git a/Makefile b/Makefile index 7cf6168c..575ed112 100644 --- a/Makefile +++ b/Makefile @@ -16,7 +16,11 @@ update_deps: .PHONY: test test: - @poetry run pytest tests + @poetry run pytest tests -k "not test_spark_connect.py" + +.PHONY: test +test_spark_connect: + @poetry run pytest tests/test_spark_connect.py .PHONY: lint lint: diff --git a/scripts/run_spark_connect_server.sh b/scripts/run_spark_connect_server.sh new file mode 100644 index 00000000..a065a50b --- /dev/null +++ b/scripts/run_spark_connect_server.sh @@ -0,0 +1,28 @@ +#!/usr/bin/bash + +# The Hadoop and Spark versions are set as environment variables for this script. +echo "The HADOOP_VERSION is $HADOOP_VERSION" +echo "The SPARK_VERSION is $SPARK_VERSION" + +# Download the spark binaries. If the download fails, throw an error message +if ! wget -q https://archive.apache.org/dist/spark/spark-$SPARK_VERSION/spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION.tgz; then + echo "Error: Unable to download Spark binaries" + exit 1 +fi + +# Extract the downloaded spark binaries and check if the extraction is successful or not +if ! tar -xzf spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION.tgz; then + echo "Error: Unable to extract Spark binaries" + exit 1 +fi + +# Start the Spark server +echo "Starting the Spark-Connect server" +./spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION/sbin/start-connect-server.sh + +if [ $? -ne 0 ]; then + echo "Error: Unable to start the Spark-Connect server" + exit 1 +fi + +echo "Spark-Connect server started successfully." \ No newline at end of file diff --git a/tests/test_spark_connect.py b/tests/test_spark_connect.py new file mode 100644 index 00000000..f3584d46 --- /dev/null +++ b/tests/test_spark_connect.py @@ -0,0 +1,26 @@ +import pytest +import chispa +from pyspark.sql import SparkSession +from pyspark.sql.types import IntegerType, StringType, StructField, StructType + +import quinn + + +@pytest.fixture(scope="module") +def spark(): + return SparkSession.builder.remote("sc://localhost:15002").getOrCreate() + + +def test_create_df(): + rows_data = [("abc", 1), ("lu", 2), ("torrence", 3)] + col_specs = [("name", StringType()), ("age", IntegerType())] + + expected_schema = StructType( + [ + StructField("name", StringType(), True), + StructField("age", IntegerType(), True), + ], + ) + actual = quinn.create_df(spark, rows_data, col_specs) + expected = spark.createDataFrame(rows_data, expected_schema) + chispa.assert_df_equality(actual, expected) From dbd3f665dfa740329edd084a1f7d552315c3dc38 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 11:09:17 +1000 Subject: [PATCH 25/43] Address the fixtures issue in the test file --- tests/test_spark_connect.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_spark_connect.py b/tests/test_spark_connect.py index f3584d46..0532e238 100644 --- a/tests/test_spark_connect.py +++ b/tests/test_spark_connect.py @@ -11,7 +11,7 @@ def spark(): return SparkSession.builder.remote("sc://localhost:15002").getOrCreate() -def test_create_df(): +def test_create_df(spark): rows_data = [("abc", 1), ("lu", 2), ("torrence", 3)] col_specs = [("name", StringType()), ("age", IntegerType())] From 3ef421908f55a688d4af692d43f5e15063cfe160 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 11:45:42 +1000 Subject: [PATCH 26/43] Update the CI workflow to initiate the sparkconnect test on the 1.0 --- .github/workflows/ci.yml | 9 +++++---- Makefile | 4 ++-- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 688a539a..95740f68 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -4,9 +4,11 @@ on: push: branches: - main + - planning-1.0-release pull_request: branches: - main + - planning-1.0-release workflow_dispatch: jobs: @@ -67,13 +69,12 @@ jobs: run: make test - name: Run tests using Spark-Connect - run: | - sh scripts/run_spark_connect_server.sh - make test_spark_connect env: HADOOP_VERSION: 3 SPARK_VERSION: ${{ matrix.pyspark-version }} - + run: | + sh scripts/run_spark_connect_server.sh + make test_spark_connect check-license-headers: runs-on: ubuntu-latest diff --git a/Makefile b/Makefile index 575ed112..635e9d98 100644 --- a/Makefile +++ b/Makefile @@ -20,7 +20,7 @@ test: .PHONY: test test_spark_connect: - @poetry run pytest tests/test_spark_connect.py + @poetry run pytest tests/test_spark_connect.py .PHONY: lint lint: @@ -32,7 +32,7 @@ format: .PHONY: help help: - @echo '................... Quin ..........................' + @echo '................... Quinn ..........................' @echo 'help - print that message' @echo 'lint - run linter' @echo 'format - reformat the code' From b1573b40e116ebde72aa1917b14aed9b3be5e890 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 11:51:50 +1000 Subject: [PATCH 27/43] Update the poetry & pyproject with the dependencies for Spark-Connect --- poetry.lock | 311 +++++++++++++++++++++++++++++++++++++++++++++---- pyproject.toml | 8 +- 2 files changed, 292 insertions(+), 27 deletions(-) diff --git a/poetry.lock b/poetry.lock index b966b288..ed739d67 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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########################################################################### # DEPENDENCY GROUPS @@ -104,8 +108,6 @@ ignore = [ ] [tool.ruff.lint.per-file-ignores] -"quinn/extensions/column_ext.py" = ["FBT003", "N802"] -"quinn/extensions/__init__.py" = ["F401", "F403"] "quinn/__init__.py" = ["F401", "F403"] "quinn/functions.py" = ["FBT003"] "quinn/keyword_finder.py" = ["A002"] From fc850139d524ab12aea81034d5a68bd6f311c4af Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 11:53:22 +1000 Subject: [PATCH 28/43] Update the CI workflow to run Spark-Connect tests only for v3.4+ --- .github/workflows/ci.yml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 95740f68..338a48a9 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -73,8 +73,12 @@ jobs: HADOOP_VERSION: 3 SPARK_VERSION: ${{ matrix.pyspark-version }} run: | - sh scripts/run_spark_connect_server.sh - make test_spark_connect + if [[ "${SPARK_VERSION}" > "3.4" ]]; then + sh scripts/run_spark_connect_server.sh + make test_spark_connect + else + echo "Skipping Spark-Connect tests for Spark version <= 3.4" + fi check-license-headers: runs-on: ubuntu-latest From 3e8776ae4e2e3346f0efaed4fec797200125f5a4 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 11:59:24 +1000 Subject: [PATCH 29/43] Update the script to check if Spark-Connect server is running or not --- scripts/run_spark_connect_server.sh | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/scripts/run_spark_connect_server.sh b/scripts/run_spark_connect_server.sh index a065a50b..e57328ea 100644 --- a/scripts/run_spark_connect_server.sh +++ b/scripts/run_spark_connect_server.sh @@ -18,11 +18,12 @@ fi # Start the Spark server echo "Starting the Spark-Connect server" -./spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION/sbin/start-connect-server.sh +./spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION/sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:$SPARK_VERSION -if [ $? -ne 0 ]; then - echo "Error: Unable to start the Spark-Connect server" +# Check if the Spark-Connect server is listening on port 15002 +if ! netstat -tuln | grep ":15002" > /dev/null && ! ss -tuln | grep ":15002" > /dev/null; then + echo "Error: Spark-Connect server is not running on port 15002" exit 1 -fi - -echo "Spark-Connect server started successfully." \ No newline at end of file +else + echo "Spark-Connect server is running on port 15002." +fi \ No newline at end of file From 8f76b0c096d804b1394f5c4b9f003f038606d7eb Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 12:02:29 +1000 Subject: [PATCH 30/43] Remove the spark-connect server run check --- scripts/run_spark_connect_server.sh | 8 -------- 1 file changed, 8 deletions(-) diff --git a/scripts/run_spark_connect_server.sh b/scripts/run_spark_connect_server.sh index e57328ea..1e38619e 100644 --- a/scripts/run_spark_connect_server.sh +++ b/scripts/run_spark_connect_server.sh @@ -19,11 +19,3 @@ fi # Start the Spark server echo "Starting the Spark-Connect server" ./spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION/sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:$SPARK_VERSION - -# Check if the Spark-Connect server is listening on port 15002 -if ! netstat -tuln | grep ":15002" > /dev/null && ! ss -tuln | grep ":15002" > /dev/null; then - echo "Error: Spark-Connect server is not running on port 15002" - exit 1 -else - echo "Spark-Connect server is running on port 15002." -fi \ No newline at end of file From 0fb197e933c5326e08e014785a3142b123b93eb9 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 12:13:30 +1000 Subject: [PATCH 31/43] Update workflows & pytest to choose the Sparksession instance based on a condition --- .github/workflows/ci.yml | 3 ++- tests/spark.py | 6 +++++- tests/test_spark_connect.py | 10 ++-------- 3 files changed, 9 insertions(+), 10 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 338a48a9..61ade1f6 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -68,10 +68,11 @@ jobs: - name: Run tests with pytest against PySpark ${{ matrix.pyspark-version }} run: make test - - name: Run tests using Spark-Connect + - name: Run tests using Spark-Connect against PySpark ${{ matrix.pyspark-version }} env: HADOOP_VERSION: 3 SPARK_VERSION: ${{ matrix.pyspark-version }} + SPARK_CONNECT_MODE_ENABLE: 1 run: | if [[ "${SPARK_VERSION}" > "3.4" ]]; then sh scripts/run_spark_connect_server.sh diff --git a/tests/spark.py b/tests/spark.py index c3bd2944..2b49de3f 100644 --- a/tests/spark.py +++ b/tests/spark.py @@ -1,3 +1,7 @@ +import os from pyspark.sql import SparkSession -spark = SparkSession.builder.master("local").appName("chispa").getOrCreate() +if "SPARK_CONNECT_MODE_ENABLE" in os.environ: + spark = SparkSession.builder.remote("sc://localhost:15002").getOrCreate() +else: + spark = SparkSession.builder.master("local").appName("chispa").getOrCreate() \ No newline at end of file diff --git a/tests/test_spark_connect.py b/tests/test_spark_connect.py index 0532e238..8d02245e 100644 --- a/tests/test_spark_connect.py +++ b/tests/test_spark_connect.py @@ -1,17 +1,11 @@ -import pytest import chispa -from pyspark.sql import SparkSession from pyspark.sql.types import IntegerType, StringType, StructField, StructType import quinn +from .spark import spark -@pytest.fixture(scope="module") -def spark(): - return SparkSession.builder.remote("sc://localhost:15002").getOrCreate() - - -def test_create_df(spark): +def test_create_df(): rows_data = [("abc", 1), ("lu", 2), ("torrence", 3)] col_specs = [("name", StringType()), ("age", IntegerType())] From b4139202ea61e4b83a0cd8e45c11fd8ea2270b68 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 12:38:56 +1000 Subject: [PATCH 32/43] Add a TODO statement so that the spark-connect server check can be addressed later --- scripts/run_spark_connect_server.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/scripts/run_spark_connect_server.sh b/scripts/run_spark_connect_server.sh index 1e38619e..31429b6c 100644 --- a/scripts/run_spark_connect_server.sh +++ b/scripts/run_spark_connect_server.sh @@ -19,3 +19,5 @@ fi # Start the Spark server echo "Starting the Spark-Connect server" ./spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION/sbin/start-connect-server.sh --packages org.apache.spark:spark-connect_2.12:$SPARK_VERSION + +# TODO: Check if the server is running or not (maybe using netstat) and throw an error message if it is not running From f3cf7174d12f1b0f320e0dc73951e106cb946b25 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 13:09:38 +1000 Subject: [PATCH 33/43] Remove the 1.0 planning branch for the CI file --- .github/workflows/ci.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 61ade1f6..11f6ff76 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -4,11 +4,9 @@ on: push: branches: - main - - planning-1.0-release pull_request: branches: - main - - planning-1.0-release workflow_dispatch: jobs: From 0ab7493be48156e7ce0cb812f9d4d1fb7c1a7f19 Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 13:10:31 +1000 Subject: [PATCH 34/43] Attribute the original script that inspired this --- scripts/run_spark_connect_server.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/scripts/run_spark_connect_server.sh b/scripts/run_spark_connect_server.sh index 31429b6c..10d8fef4 100644 --- a/scripts/run_spark_connect_server.sh +++ b/scripts/run_spark_connect_server.sh @@ -1,5 +1,7 @@ #!/usr/bin/bash +# This script was inspired by https://github.com/pyspark-ai/pyspark-ai/blob/master/run_spark_connect.sh + # The Hadoop and Spark versions are set as environment variables for this script. echo "The HADOOP_VERSION is $HADOOP_VERSION" echo "The SPARK_VERSION is $SPARK_VERSION" From 3c669fcf4071ba39b44ab6b44c4a813880d8661d Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 17:59:12 +1000 Subject: [PATCH 35/43] Mark recently added deps as optional for Spark-Classic As per the review comment, the recently added dependencies such as Pyarrow, Pandas etc., are optional and not required for Spark-Classic. Update the pyproject.toml to reflect that and lock the poetry file --- .github/workflows/ci.yml | 1 + poetry.lock | 84 +++++++++++++++++++--------------------- pyproject.toml | 15 ++++--- 3 files changed, 51 insertions(+), 49 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 11f6ff76..5298a6b4 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -7,6 +7,7 @@ on: pull_request: branches: - main + - planning-1.0-release workflow_dispatch: jobs: diff --git a/poetry.lock b/poetry.lock index ed739d67..e168acd2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -567,7 +567,7 @@ dev = ["flake8", "markdown", "twine", "wheel"] name = "googleapis-common-protos" version = "1.63.2" description = "Common protobufs used in Google APIs" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "googleapis-common-protos-1.63.2.tar.gz", hash = "sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87"}, @@ -598,7 +598,7 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"rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] +[extras] +spark-classic = ["grpcio", "grpcio-status", "numpy", "pandas", "pyarrow"] + [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "a81c34cd3c2df5d5673b4dbaea7c0855c17774bd41407846143bc513da2fa1c9" +content-hash = "c806610a0a18738161f11898fde5ab286a28642a727bbce9b0eae4f990bdb3ef" diff --git a/pyproject.toml b/pyproject.toml index ca9cb7b8..27851460 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,11 +23,16 @@ build-backend = "poetry.masonry.api" [tool.poetry.dependencies] python = ">=3.9,<4.0" -pandas = "^1.5.3" -pyarrow = "16.1.0" -numpy = "^1.21.0" -grpcio = "^1.48.1" -grpcio-status = "^1.64.1" + +# Below are the optional dependencies +pyarrow = "13.0.0" +pandas = { version = "^1.5.3", optional = true } +numpy = { version = "^1.21.0", optional = true } +grpcio = { version = "^1.48.1", optional = true } +grpcio-status = { version = "^1.64.1", optional = true } + +[tool.poetry.extras] +spark-classic = ["pyarrow", "pandas", "numpy", "grpcio", "grpcio-status"] ########################################################################### # DEPENDENCY GROUPS From f62185f7844e8766e994f5393bef57b3b1db9b2a Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 18:29:08 +1000 Subject: [PATCH 36/43] Rename the spark-classic to connect & update makefile to install these deps --- Makefile | 2 +- poetry.lock | 4 ++-- pyproject.toml | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/Makefile b/Makefile index 635e9d98..679d3f53 100644 --- a/Makefile +++ b/Makefile @@ -4,7 +4,7 @@ all: help .PHONY: install_test install_test: - @poetry install --with=development,testing + @poetry install --with=development,testing --extras connect .PHONY: install_deps install_deps: diff --git a/poetry.lock b/poetry.lock index e168acd2..bb1498dd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3089,9 +3089,9 @@ doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linke test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] -spark-classic = ["grpcio", "grpcio-status", "numpy", "pandas", "pyarrow"] +connect = ["grpcio", "grpcio-status", "numpy", "pandas", "pyarrow"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "c806610a0a18738161f11898fde5ab286a28642a727bbce9b0eae4f990bdb3ef" +content-hash = "33ebb67505f1c02956085f8caab93f8a1bd403d34103eb44262fcc58bbed73a0" diff --git a/pyproject.toml b/pyproject.toml index 27851460..e042cd07 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ grpcio = { version = "^1.48.1", optional = true } grpcio-status = { version = "^1.64.1", optional = true } [tool.poetry.extras] -spark-classic = ["pyarrow", "pandas", "numpy", "grpcio", "grpcio-status"] +connect = ["pyarrow", "pandas", "numpy", "grpcio", "grpcio-status"] ########################################################################### # DEPENDENCY GROUPS From 93f39d17a895b291fc790cdeb52f269cb6dd237c Mon Sep 17 00:00:00 2001 From: Fateme Tardasti Date: Fri, 12 Jul 2024 12:05:41 +0200 Subject: [PATCH 37/43] update column extension function names and desc in readme enable UP007 --- benchmarks/create_benchmark_df.py | 4 ++-- pyproject.toml | 5 +++-- quinn/__init__.py | 1 + quinn/append_if_schema_identical.py | 6 +++++- quinn/math.py | 10 ++++------ quinn/schema_helpers.py | 3 +-- quinn/split_columns.py | 4 ++-- 7 files changed, 18 insertions(+), 15 deletions(-) diff --git a/benchmarks/create_benchmark_df.py b/benchmarks/create_benchmark_df.py index 61a86136..301b2b45 100644 --- a/benchmarks/create_benchmark_df.py +++ b/benchmarks/create_benchmark_df.py @@ -14,7 +14,7 @@ from __future__ import annotations import random -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING from pyspark.sql import SparkSession from pyspark.sql import functions as F # noqa: N812 @@ -38,7 +38,7 @@ def save_benchmark_df( spark: SparkSession, n: int, data_label: str, - repartition_n: Optional[int] = None, + repartition_n: int | None = None, ) -> None: """Save a benchmark dataframe to disk.""" print(f"Generating benchmark df for n={n}") diff --git a/pyproject.toml b/pyproject.toml index e042cd07..cdf6e8a4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -102,8 +102,6 @@ ignore = [ "D205", # It is broken "TCH003", # I have no idea what is it about "PLC1901", # Strange thing - "UP007", # Not supported in py3.6 - "UP038", # Not supported in all py versions "SIM108", # Don't create long ternary operators "PTH123", # Don't force use of Pathlib "PTH207", # Don't force use of Pathlib @@ -116,3 +114,6 @@ ignore = [ "quinn/__init__.py" = ["F401", "F403"] "quinn/functions.py" = ["FBT003"] "quinn/keyword_finder.py" = ["A002"] + +[tool.ruff.isort] +required-imports = ["from __future__ import annotations"] \ No newline at end of file diff --git a/quinn/__init__.py b/quinn/__init__.py index 469cac82..61f491eb 100644 --- a/quinn/__init__.py +++ b/quinn/__init__.py @@ -12,6 +12,7 @@ # limitations under the License. """quinn API.""" +from __future__ import annotations from quinn.append_if_schema_identical import append_if_schema_identical from quinn.dataframe_helpers import ( diff --git a/quinn/append_if_schema_identical.py b/quinn/append_if_schema_identical.py index ac05f1ee..7ea8b0bf 100644 --- a/quinn/append_if_schema_identical.py +++ b/quinn/append_if_schema_identical.py @@ -10,8 +10,12 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from __future__ import annotations -from pyspark.sql import DataFrame +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from pyspark.sql import DataFrame class SchemaMismatchError(ValueError): diff --git a/quinn/math.py b/quinn/math.py index e385b1ff..c7a4196b 100644 --- a/quinn/math.py +++ b/quinn/math.py @@ -15,16 +15,14 @@ from __future__ import annotations -from typing import Optional, Union - from pyspark.sql import Column from pyspark.sql import functions as F # noqa: N812 def rand_laplace( - mu: Union[float, Column], - beta: Union[float, Column], - seed: Optional[int] = None, + mu: float | Column, + beta: float | Column, + seed: int | None = None, ) -> Column: """Generate random numbers from Laplace(mu, beta). @@ -47,7 +45,7 @@ def rand_laplace( def div_or_else( cola: Column, colb: Column, - default: Union[float, Column] = 0.0, + default: float | Column = 0.0, ) -> Column: """Return result of division of cola by colb or default if colb is zero. diff --git a/quinn/schema_helpers.py b/quinn/schema_helpers.py index d314ff1b..80797192 100644 --- a/quinn/schema_helpers.py +++ b/quinn/schema_helpers.py @@ -14,7 +14,6 @@ from __future__ import annotations import json -from typing import Optional from pyspark.sql import SparkSession from pyspark.sql import types as T # noqa: N812 @@ -100,7 +99,7 @@ def schema_from_csv(spark: SparkSession, file_path: str) -> T.StructType: # noq :rtype: pyspark.sql.types.StructType """ - def _validate_json(metadata: Optional[str]) -> dict: + def _validate_json(metadata: str | None) -> dict: if metadata is None: return {} diff --git a/quinn/split_columns.py b/quinn/split_columns.py index e2bdef87..d667815a 100644 --- a/quinn/split_columns.py +++ b/quinn/split_columns.py @@ -13,7 +13,7 @@ from __future__ import annotations -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING from pyspark.sql.functions import length, split, trim, udf, when from pyspark.sql.types import IntegerType @@ -28,7 +28,7 @@ def split_col( # noqa: PLR0913 delimiter: str, new_col_names: list[str], mode: str = "permissive", - default: Optional[str] = None, + default: str | None = None, ) -> DataFrame: """Splits the given column based on the delimiter and creates new columns with the split values. From b9926fda90261da07a68815215bfde8b6afcc4fe Mon Sep 17 00:00:00 2001 From: Florian Maas Date: Mon, 15 Jul 2024 10:34:23 +0200 Subject: [PATCH 38/43] add acknowledgement --- Makefile | 1 + 1 file changed, 1 insertion(+) diff --git a/Makefile b/Makefile index 679d3f53..a924ae09 100644 --- a/Makefile +++ b/Makefile @@ -30,6 +30,7 @@ lint: format: @poetry run ruff format quinn +# Inspired by https://marmelab.com/blog/2016/02/29/auto-documented-makefile.html .PHONY: help help: @echo '................... Quinn ..........................' From 74545c3c9da81309c7e1e6fdbe2d9fb06663ae8f Mon Sep 17 00:00:00 2001 From: Niju Vijayakumar Date: Mon, 15 Jul 2024 18:57:25 +1000 Subject: [PATCH 39/43] Fix the linting issues in the linting CI workflow --- pyproject.toml | 2 +- quinn/schema_helpers.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index cdf6e8a4..98e0856c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -115,5 +115,5 @@ ignore = [ "quinn/functions.py" = ["FBT003"] "quinn/keyword_finder.py" = ["A002"] -[tool.ruff.isort] +[tool.ruff.lint.isort] required-imports = ["from __future__ import annotations"] \ No newline at end of file diff --git a/quinn/schema_helpers.py b/quinn/schema_helpers.py index 80797192..cf725bee 100644 --- a/quinn/schema_helpers.py +++ b/quinn/schema_helpers.py @@ -131,7 +131,7 @@ def _lookup_type(type_str: str) -> T.DataType: return type_lookup[type_str] - def _convert_nullable(null_str: Optional[str]) -> bool: + def _convert_nullable(null_str: str | None) -> bool: if null_str is None: return True From 943918a8fcb7238b5a221108c88659190612aa7d Mon Sep 17 00:00:00 2001 From: Florian Maas Date: Mon, 15 Jul 2024 10:43:02 +0200 Subject: [PATCH 40/43] remove .python-version --- .python-version | 1 - 1 file changed, 1 deletion(-) delete mode 100644 .python-version diff --git a/.python-version b/.python-version deleted file mode 100644 index aaf18d29..00000000 --- a/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.7.5 From 0a711904e3b85621cdbfce8a2ad202ba66e3ccf1 Mon Sep 17 00:00:00 2001 From: Florian Maas Date: Mon, 15 Jul 2024 10:47:04 +0200 Subject: [PATCH 41/43] apply hotfix apply hotfix update lock file --- .github/workflows/lint.yaml | 2 +- .pre-commit-config.yaml | 2 +- poetry.lock | 20 ++++++++++++++++---- pyproject.toml | 2 +- 4 files changed, 19 insertions(+), 7 deletions(-) diff --git a/.github/workflows/lint.yaml b/.github/workflows/lint.yaml index ff5aa621..0ddd54cc 100644 --- a/.github/workflows/lint.yaml +++ b/.github/workflows/lint.yaml @@ -13,4 +13,4 @@ jobs: - name: Run Ruff uses: chartboost/ruff-action@v1 with: - version: 0.5.1 + version: 0.5.2 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 5df0a33e..94ee4ff5 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,7 +1,7 @@ repos: - repo: https://github.com/charliermarsh/ruff-pre-commit # Ruff version. - rev: 'v0.0.291' + rev: 'v0.5.2' hooks: - id: ruff - repo: local diff --git a/poetry.lock b/poetry.lock index bb1498dd..3833c1a4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -174,6 +174,17 @@ files = [ [package.extras] dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] +[[package]] +name = "backports-strenum" +version = "1.3.1" +description = "Base class for creating enumerated constants that are also subclasses of str" +optional = false +python-versions = ">=3.8.6,<3.11" +files = [ + {file = "backports_strenum-1.3.1-py3-none-any.whl", hash = "sha256:cdcfe36dc897e2615dc793b7d3097f54d359918fc448754a517e6f23044ccf83"}, + {file = "backports_strenum-1.3.1.tar.gz", hash = "sha256:77c52407342898497714f0596e86188bb7084f89063226f4ba66863482f42414"}, +] + [[package]] name = "beautifulsoup4" version = "4.12.3" @@ -582,16 +593,17 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"] [[package]] name = "griffe" -version = "0.47.0" +version = "0.48.0" description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.8" files = [ - {file = "griffe-0.47.0-py3-none-any.whl", hash = "sha256:07a2fd6a8c3d21d0bbb0decf701d62042ccc8a576645c7f8799fe1f10de2b2de"}, - {file = "griffe-0.47.0.tar.gz", hash = "sha256:95119a440a3c932b13293538bdbc405bee4c36428547553dc6b327e7e7d35e5a"}, + {file = "griffe-0.48.0-py3-none-any.whl", hash = "sha256:f944c6ff7bd31cf76f264adcd6ab8f3d00a2f972ae5cc8db2d7b6dcffeff65a2"}, + {file = "griffe-0.48.0.tar.gz", hash = "sha256:f099461c02f016b6be4af386d5aa92b01fb4efe6c1c2c360dda9a5d0a863bb7f"}, ] [package.dependencies] +backports-strenum = {version = ">=1.3", markers = "python_version < \"3.11\""} colorama = ">=0.4" [[package]] @@ -3094,4 +3106,4 @@ connect = ["grpcio", "grpcio-status", "numpy", "pandas", "pyarrow"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<4.0" -content-hash = "33ebb67505f1c02956085f8caab93f8a1bd403d34103eb44262fcc58bbed73a0" +content-hash = "6f7bcd8a2108bfb4df7eef4f092f3889de53b921a8c42ebb0f22748c5ab6ac39" diff --git a/pyproject.toml b/pyproject.toml index 98e0856c..9925fc41 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -62,7 +62,7 @@ pyspark = ">3" semver = "^3" [tool.poetry.group.linting.dependencies] -ruff = "^0.5" +ruff = "0.5.2" [tool.poetry.group.docs.dependencies] # All the dependencies related to mkdocs; From ad45d31021f586ec58a29ad48e9caa6bf6f171e3 Mon Sep 17 00:00:00 2001 From: Florian Maas Date: Mon, 15 Jul 2024 14:20:47 +0200 Subject: [PATCH 42/43] run lint also on pr --- .github/workflows/lint.yaml | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/.github/workflows/lint.yaml b/.github/workflows/lint.yaml index 0ddd54cc..f6678f1d 100644 --- a/.github/workflows/lint.yaml +++ b/.github/workflows/lint.yaml @@ -1,6 +1,14 @@ name: Lint -on: push +on: + push: + branches: + - main + pull_request: + branches: + - main + - planning-1.0-release + workflow_dispatch: jobs: ruff: From f04ab7814bb599290714d9dfd226615ddae092dc Mon Sep 17 00:00:00 2001 From: Fateme Tardasti Date: Fri, 12 Jul 2024 12:05:41 +0200 Subject: [PATCH 43/43] update column extension function names and desc in readme