fix: publish and dev versions

.github/workflows/publish.yml

@@ -9,8 +9,7 @@ jobs:
   Pipeline:
     if: github.ref == 'refs/heads/master'
 
-    runs-on: ubuntu-22.04
-    container: quintoandar/python-3-7-java
+    runs-on: ubuntu-latest
 
     steps:
     - uses: actions/checkout@v2

Makefile

@@ -9,8 +9,8 @@ VERSION := $(shell grep __version__ setup.py | head -1 | cut -d \" -f2 | cut -d
 .PHONY: environment
 ## create virtual environment for butterfree
 environment:
-	@pyenv install -s 3.7.13
-	@pyenv virtualenv 3.7.13 butterfree
+	@pyenv install -s 3.9.19
+	@pyenv virtualenv 3.9.19 butterfree
 	@pyenv local butterfree
 	@PYTHONPATH=. python -m pip install --upgrade pip
 

butterfree/_cli/main.py

@@ -2,7 +2,7 @@
 
 from butterfree._cli import migrate
 
-app = typer.Typer()
+app = typer.Typer(no_args_is_help=True)
 app.add_typer(migrate.app, name="migrate")
 
 if __name__ == "__main__":

butterfree/_cli/migrate.py

@@ -16,7 +16,9 @@
 from butterfree.migrations.database_migration import ALLOWED_DATABASE
 from butterfree.pipelines import FeatureSetPipeline
 
-app = typer.Typer(help="Apply the automatic migrations in a database.")
+app = typer.Typer(
+    help="Apply the automatic migrations in a database.", no_args_is_help=True
+)
 
 logger = __logger("migrate", True)
 
@@ -89,7 +91,7 @@ def __fs_objects(path: str) -> Set[FeatureSetPipeline]:
             instances.add(value)
 
     logger.info("Creating instances...")
-    return set(value() for value in instances)
+    return set(value() for value in instances)  # type: ignore
 
 
 PATH = typer.Argument(

butterfree/clients/__init__.py

@@ -1,4 +1,5 @@
 """Holds connection clients."""
+
 from butterfree.clients.abstract_client import AbstractClient
 from butterfree.clients.cassandra_client import CassandraClient
 from butterfree.clients.spark_client import SparkClient

butterfree/clients/abstract_client.py

@@ -1,6 +1,7 @@
 """Abstract class for database clients."""
+
 from abc import ABC, abstractmethod
-from typing import Any
+from typing import Any, Optional
 
 
 class AbstractClient(ABC):
@@ -25,7 +26,7 @@ def sql(self, query: str) -> Any:
         pass
 
     @abstractmethod
-    def get_schema(self, table: str, database: str = None) -> Any:
+    def get_schema(self, table: str, database: Optional[str] = None) -> Any:
         """Returns desired table schema.
 
         Attributes:

butterfree/clients/cassandra_client.py

@@ -1,4 +1,5 @@
 """CassandraClient entity."""
+
 from ssl import CERT_REQUIRED, PROTOCOL_TLSv1
 from typing import Dict, List, Optional
 
@@ -102,7 +103,9 @@ def sql(self, query: str) -> ResponseFuture:
         """
         return self.conn.execute(query)
 
-    def get_schema(self, table: str, database: str = None) -> List[Dict[str, str]]:
+    def get_schema(
+        self, table: str, database: Optional[str] = None
+    ) -> List[Dict[str, str]]:
         """Returns desired table schema.
 
         Attributes:

butterfree/clients/spark_client.py

@@ -69,7 +69,7 @@ def read(
 
         return df_reader.format(format).load(path=path, **options)  # type: ignore
 
-    def read_table(self, table: str, database: str = None) -> DataFrame:
+    def read_table(self, table: str, database: Optional[str] = None) -> DataFrame:
         """Use the SparkSession.read interface to read a metastore table.
 
         Args:
@@ -179,9 +179,9 @@ def write_table(
         database: Optional[str],
         table_name: str,
         path: str,
-        format_: str = None,
-        mode: str = None,
-        partition_by: List[str] = None,
+        format_: Optional[str] = None,
+        mode: Optional[str] = None,
+        partition_by: Optional[List[str]] = None,
         **options: Any,
     ) -> None:
         """Receive a spark DataFrame and write it as a table in metastore.
@@ -231,7 +231,10 @@ def create_temporary_view(dataframe: DataFrame, name: str) -> Any:
         return dataframe.writeStream.format("memory").queryName(name).start()
 
     def add_table_partitions(
-        self, partitions: List[Dict[str, Any]], table: str, database: str = None
+        self,
+        partitions: List[Dict[str, Any]],
+        table: str,
+        database: Optional[str] = None,
     ) -> None:
         """Add partitions to an existing table.
 
@@ -259,9 +262,11 @@ def add_table_partitions(
         key_values_expr = [
             ", ".join(
                 [
-                    "{} = {}".format(k, v)
-                    if not isinstance(v, str)
-                    else "{} = '{}'".format(k, v)
+                    (
+                        "{} = {}".format(k, v)
+                        if not isinstance(v, str)
+                        else "{} = '{}'".format(k, v)
+                    )
                     for k, v in partition.items()
                 ]
             )
@@ -314,7 +319,9 @@ def _convert_schema(self, schema: DataFrame) -> List[Dict[str, str]]:
 
         return converted_schema
 
-    def get_schema(self, table: str, database: str = None) -> List[Dict[str, str]]:
+    def get_schema(
+        self, table: str, database: Optional[str] = None
+    ) -> List[Dict[str, str]]:
         """Returns desired table schema.
 
         Attributes:

butterfree/configs/db/cassandra_config.py

@@ -1,4 +1,5 @@
 """Holds configurations to read and write with Spark to Cassandra DB."""
+
 from typing import Any, Dict, List, Optional
 
 from butterfree.configs import environment
@@ -32,18 +33,18 @@ class CassandraConfig(AbstractWriteConfig):
 
     def __init__(
         self,
-        username: str = None,
-        password: str = None,
-        host: str = None,
-        keyspace: str = None,
-        mode: str = None,
-        format_: str = None,
-        stream_processing_time: str = None,
-        stream_output_mode: str = None,
-        stream_checkpoint_path: str = None,
-        read_consistency_level: str = None,
-        write_consistency_level: str = None,
-        local_dc: str = None,
+        username: Optional[str] = None,
+        password: Optional[str] = None,
+        host: Optional[str] = None,
+        keyspace: Optional[str] = None,
+        mode: Optional[str] = None,
+        format_: Optional[str] = None,
+        stream_processing_time: Optional[str] = None,
+        stream_output_mode: Optional[str] = None,
+        stream_checkpoint_path: Optional[str] = None,
+        read_consistency_level: Optional[str] = None,
+        write_consistency_level: Optional[str] = None,
+        local_dc: Optional[str] = None,
     ):
         self.username = username
         self.password = password

butterfree/configs/db/kafka_config.py

@@ -1,4 +1,5 @@
 """Holds configurations to read and write with Spark to Kafka."""
+
 from typing import Any, Dict, List, Optional
 
 from butterfree.configs import environment
@@ -25,13 +26,13 @@ class KafkaConfig(AbstractWriteConfig):
 
     def __init__(
         self,
-        kafka_topic: str = None,
-        kafka_connection_string: str = None,
-        mode: str = None,
-        format_: str = None,
-        stream_processing_time: str = None,
-        stream_output_mode: str = None,
-        stream_checkpoint_path: str = None,
+        kafka_topic: Optional[str] = None,
+        kafka_connection_string: Optional[str] = None,
+        mode: Optional[str] = None,
+        format_: Optional[str] = None,
+        stream_processing_time: Optional[str] = None,
+        stream_output_mode: Optional[str] = None,
+        stream_checkpoint_path: Optional[str] = None,
     ):
         self.kafka_topic = kafka_topic
         self.kafka_connection_string = kafka_connection_string
@@ -147,4 +148,4 @@ def translate(self, schema: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
             Kafka schema.
 
         """
-        pass
+        return [{}]

butterfree/configs/db/metastore_config.py

@@ -25,10 +25,10 @@ class MetastoreConfig(AbstractWriteConfig):
 
     def __init__(
         self,
-        path: str = None,
-        mode: str = None,
-        format_: str = None,
-        file_system: str = None,
+        path: Optional[str] = None,
+        mode: Optional[str] = None,
+        format_: Optional[str] = None,
+        file_system: Optional[str] = None,
     ):
         self.path = path
         self.mode = mode

butterfree/configs/environment.py

@@ -1,4 +1,5 @@
 """Holds functions for managing the running environment."""
+
 import os
 from typing import Optional
 
@@ -34,7 +35,9 @@ def __init__(self, variable_name: str):
         )
 
 
-def get_variable(variable_name: str, default_value: str = None) -> Optional[str]:
+def get_variable(
+    variable_name: str, default_value: Optional[str] = None
+) -> Optional[str]:
     """Gets an environment variable.
 
     The variable comes from it's explicitly declared value in the running

butterfree/constants/__init__.py

@@ -1,4 +1,5 @@
 """Holds constant attributes that are common for Butterfree."""
+
 from butterfree.constants.data_type import DataType
 
 __all__ = ["DataType"]

butterfree/constants/migrations.py

@@ -1,4 +1,5 @@
 """Migrations' Constants."""
+
 from butterfree.constants import columns
 
 PARTITION_BY = [

butterfree/dataframe_service/__init__.py

@@ -1,4 +1,5 @@
 """Dataframe optimization components regarding Butterfree."""
+
 from butterfree.dataframe_service.incremental_strategy import IncrementalStrategy
 from butterfree.dataframe_service.partitioning import extract_partition_values
 from butterfree.dataframe_service.repartition import repartition_df, repartition_sort_df

butterfree/dataframe_service/incremental_strategy.py

@@ -2,6 +2,8 @@
 
 from __future__ import annotations
 
+from typing import Optional
+
 from pyspark.sql import DataFrame
 
 
@@ -18,7 +20,7 @@ class IncrementalStrategy:
             filter can properly work with the defined upper and lower bounds.
     """
 
-    def __init__(self, column: str = None):
+    def __init__(self, column: Optional[str] = None):
         self.column = column
 
     def from_milliseconds(self, column_name: str) -> IncrementalStrategy:
@@ -32,7 +34,9 @@ def from_milliseconds(self, column_name: str) -> IncrementalStrategy:
         """
         return IncrementalStrategy(column=f"from_unixtime({column_name}/ 1000.0)")
 
-    def from_string(self, column_name: str, mask: str = None) -> IncrementalStrategy:
+    def from_string(
+        self, column_name: str, mask: Optional[str] = None
+    ) -> IncrementalStrategy:
         """Create a column expression from ts column defined as a simple string.
 
         Args:
@@ -66,7 +70,9 @@ def from_year_month_day_partitions(
             f"'-', string({day_column}))"
         )
 
-    def get_expression(self, start_date: str = None, end_date: str = None) -> str:
+    def get_expression(
+        self, start_date: Optional[str] = None, end_date: Optional[str] = None
+    ) -> str:
         """Get the incremental filter expression using the defined dates.
 
         Both arguments can be set to defined a specific date interval, but  it's
@@ -95,7 +101,10 @@ def get_expression(self, start_date: str = None, end_date: str = None) -> str:
         return f"date({self.column}) <= date('{end_date}')"
 
     def filter_with_incremental_strategy(
-        self, dataframe: DataFrame, start_date: str = None, end_date: str = None
+        self,
+        dataframe: DataFrame,
+        start_date: Optional[str] = None,
+        end_date: Optional[str] = None,
     ) -> DataFrame:
         """Filters the dataframe according to the date boundaries.
 

butterfree/dataframe_service/repartition.py

@@ -1,5 +1,6 @@
 """Module where there are repartition methods."""
-from typing import List
+
+from typing import List, Optional
 
 from pyspark.sql.dataframe import DataFrame
 
@@ -10,7 +11,7 @@
 
 
 def _num_partitions_definition(
-    num_processors: int = None, num_partitions: int = None
+    num_processors: Optional[int] = None, num_partitions: Optional[int] = None
 ) -> int:
     num_partitions = (
         num_processors * PARTITION_PROCESSOR_RATIO
@@ -24,8 +25,8 @@ def _num_partitions_definition(
 def repartition_df(
     dataframe: DataFrame,
     partition_by: List[str],
-    num_partitions: int = None,
-    num_processors: int = None,
+    num_partitions: Optional[int] = None,
+    num_processors: Optional[int] = None,
 ) -> DataFrame:
     """Partition the DataFrame.
 
@@ -47,8 +48,8 @@ def repartition_sort_df(
     dataframe: DataFrame,
     partition_by: List[str],
     order_by: List[str],
-    num_processors: int = None,
-    num_partitions: int = None,
+    num_processors: Optional[int] = None,
+    num_partitions: Optional[int] = None,
 ) -> DataFrame:
     """Partition and Sort the DataFrame.
 

butterfree/extract/__init__.py

@@ -1,4 +1,5 @@
 """The Source Component of a Feature Set."""
+
 from butterfree.extract.source import Source
 
 __all__ = ["Source"]

butterfree/extract/pre_processing/__init__.py

@@ -1,4 +1,5 @@
 """Pre Processing Components regarding Readers."""
+
 from butterfree.extract.pre_processing.explode_json_column_transform import (
     explode_json_column,
 )

butterfree/extract/pre_processing/explode_json_column_transform.py

@@ -1,4 +1,5 @@
 """Explode json column for dataframes."""
+
 from pyspark.sql.dataframe import DataFrame, StructType
 from pyspark.sql.functions import from_json, get_json_object
 

butterfree/extract/pre_processing/filter_transform.py

@@ -1,4 +1,5 @@
 """Module where filter DataFrames coming from readers."""
+
 from pyspark.sql.dataframe import DataFrame