non-inplace pydatavec transform processes (#8326)

* non inplace pydatavec tps

* pep8 linting

* logging and clean up

* update version

pydatavec/pydatavec/executors/local.py

@@ -17,7 +17,6 @@
 import os
 
 
-
 class Writable(object):
 
     def __init__(self, j_w):
@@ -77,4 +76,3 @@ class LocalExecutor(object):
             data.add(rr.next())
         processed_data = LocalTransformExecutor.execute(data, tp)
         return Writable(processed_data)
-

pydatavec/pydatavec/executors/spark.py

@@ -16,6 +16,7 @@
 
 
 import os
+import logging
 
 _JVM_RUNNING = False
 
@@ -76,7 +77,7 @@ class SparkExecutor(object):
             while(os.path.isdir(path)):
                 tempid += 1
                 path = 'temp_' + str(tempid)
-            print('Converting pyspark RDD to JavaRDD...')
+            logging.info('Converting pyspark RDD to JavaRDD...')
             source.saveAsTextFile(path)
             string_data = self.spark_context.textFile(path)
         else:

pydatavec/pydatavec/java_classes.py

@@ -75,17 +75,23 @@ try:
     SparkConf = autoclass('org.apache.spark.SparkConf')
     SparkContext = autoclass('org.apache.spark.api.java.JavaSparkContext')
     JavaRDD = autoclass('org.apache.spark.api.java.JavaRDD')
-    SparkTransformExecutor = autoclass('org.datavec.spark.transform.SparkTransformExecutor')
-    StringToWritablesFunction = autoclass('org.datavec.spark.transform.misc.StringToWritablesFunction')
-    WritablesToStringFunction = autoclass('org.datavec.spark.transform.misc.WritablesToStringFunction')
+    SparkTransformExecutor = autoclass(
+        'org.datavec.spark.transform.SparkTransformExecutor')
+    StringToWritablesFunction = autoclass(
+        'org.datavec.spark.transform.misc.StringToWritablesFunction')
+    WritablesToStringFunction = autoclass(
+        'org.datavec.spark.transform.misc.WritablesToStringFunction')
     spark_available = True
 except:
     spark_available = False
 
-CSVRecordReader = autoclass('org.datavec.api.records.reader.impl.csv.CSVRecordReader')
-CSVRecordWriter = autoclass('org.datavec.api.records.writer.impl.csv.CSVRecordWriter')
+CSVRecordReader = autoclass(
+    'org.datavec.api.records.reader.impl.csv.CSVRecordReader')
+CSVRecordWriter = autoclass(
+    'org.datavec.api.records.writer.impl.csv.CSVRecordWriter')
 
-LocalTransformExecutor = autoclass('org.datavec.local.transforms.LocalTransformExecutor')
+LocalTransformExecutor = autoclass(
+    'org.datavec.local.transforms.LocalTransformExecutor')
 
 ChangeCaseStringTransform = autoclass(
     'org.datavec.api.transform.transform.string.ChangeCaseStringTransform')
@@ -112,4 +118,5 @@ FileSplit = autoclass('org.datavec.api.split.FileSplit')
 JFile = autoclass('java.io.File')
 ArrayList = autoclass('java.util.ArrayList')
 
-NumberOfRecordsPartitioner = autoclass('org.datavec.api.split.partition.NumberOfRecordsPartitioner')
+NumberOfRecordsPartitioner = autoclass(
+    'org.datavec.api.split.partition.NumberOfRecordsPartitioner')

pydatavec/pydatavec/transform_process.py

@@ -19,6 +19,7 @@ from collections import OrderedDict
 from .conditions import *
 from .schema import Schema
 import warnings
+import logging
 
 
 def _dq(x):
@@ -47,11 +48,12 @@ def _dict_to_jmap(d, JMap):
 
 class TransformProcess(object):
 
-    def __init__(self, schema):
+    def __init__(self, schema, inplace=True):
         self.schema = schema
         self.final_schema = schema.copy()
         self.steps = []
         self.executors = {}
+        self.inplace = inplace
 
     def add_step(self, step, *args):
         self.steps.append((step,) + args)
@@ -70,34 +72,38 @@ class TransformProcess(object):
             self.add_step("removeColumns", *columns)
             for c in columns:
                 del self.final_schema.columns[c]
+        if not self.inplace:
+            return self
 
     def remove_columns_except(self, *columns):
         if len(columns) == 1:
             columns = columns[0]
             if type(columns) in (list, tuple):
                 self.add_step("removeAllColumnsExceptFor", *columns)
-                todel = []
+                to_del = []
                 for c in self.final_schema.columns:
                     if c not in columns:
-                        todel.append(c)
-                for c in todel:
+                        to_del.append(c)
+                for c in to_del:
                     del self.final_schema.columns[c]
             else:
                 self.add_step("removeAllColumnsExceptFor", columns)
-                todel = []
+                to_del = []
                 for c in self.final_schema.columns:
                     if c != columns:
-                        todel.append(c)
-                for c in todel:
+                        to_del.append(c)
+                for c in to_del:
                     del self.final_schema.columns[c]
         else:
             self.add_step("removeAllColumnsExceptFor", *columns)
-            todel = []
+            to_del = []
             for c in self.final_schema.columns:
                 if c not in columns:
-                    todel.append(c)
-            for c in todel:
+                    to_del.append(c)
+            for c in to_del:
                 del self.final_schema.columns[c]
+        if not self.inplace:
+            return self
 
     def filter(self, condition):
         col_name = condition.column
@@ -112,6 +118,8 @@ class TransformProcess(object):
             code = code.format(col_type, _dq(col_name),
                                condition.name, condition.value)
         self.add_step("exec", code)
+        if not self.inplace:
+            return self
 
     def replace(self, column, value, condition):
         # there are 2 columns involved
@@ -131,6 +139,8 @@ class TransformProcess(object):
             code = code.format(_dq(column), column1_type, value, column2_type, _dq(
                 column2), condition.name, condition.value)
         self.add_step("exec", code)
+        if not self.inplace:
+            return self
 
     def rename_column(self, column, new_name):
         new_d = OrderedDict()
@@ -142,11 +152,15 @@ class TransformProcess(object):
                 new_d[k] = old_d[k]
         self.final_schema.columns = new_d
         self.add_step("renameColumn", column, new_name)
+        if not self.inplace:
+            return self
 
     def string_to_time(self, column, format="YYY-MM-DD HH:mm:ss.SSS", time_zone="UTC"):
         self.final_schema.columns[column][0] = "DateTime"
         self.add_step("exec", "stringToTimeTransform({}, {}, {})".format(
             _dq(column), _dq(format), "DateTimeZone." + time_zone))
+        if not self.inplace:
+            return self
 
     def derive_column_from_time(self, source_column, new_column, field):
         code = 'transform(DeriveColumnsFromTimeTransformBuilder({}).addIntegerDerivedColumn({}, DateTimeFieldType.{}()).build())'
@@ -154,6 +168,8 @@ class TransformProcess(object):
             new_column), _to_camel(field))
         self.add_step("exec", code)
         self.final_schema.add_column("integer", new_column)
+        if not self.inplace:
+            return self
 
     def categorical_to_integer(self, column):
         if self.final_schema.columns[column][0] != 'categorical':
@@ -161,12 +177,16 @@ class TransformProcess(object):
                             ' transform on column \"{}\" because it is not a categorcal column.'.format(column))
         self.final_schema.columns[column][0] = 'integer'
         self.add_step('categoricalToInteger', column)
+        if not self.inplace:
+            return self
 
     def append_string(self, column, string):
         if self.final_schema.columns[column][0] != 'string':
             raise Exception(
                 'Can not apply append_string transform to column {} because it is not a string column'.format(column))
         self.add_step('appendStringColumnTransform', column, string)
+        if not self.inplace:
+            return self
 
     def lower(self, column):
         if self.final_schema.columns[column][0] != 'string':
@@ -174,6 +194,8 @@ class TransformProcess(object):
                 'Can not apply lower transform to column {} because it is not a string column'.format(column))
         self.add_step(
             'exec', 'transform(ChangeCaseStringTransform({}, ChangeCaseStringTransformCaseType.LOWER))'.format(_dq(column)))
+        if not self.inplace:
+            return self
 
     def upper(self, column):
         if self.final_schema.columns[column][0] != 'string':
@@ -181,6 +203,8 @@ class TransformProcess(object):
                 'Can not apply lower transform to column {} because it is not a string column'.format(column))
         self.add_step(
             'exec', 'transform(ChangeCaseStringTransform({}, ChangeCaseStringTransformCaseType.UPPER))'.format(_dq(column)))
+        if not self.inplace:
+            return self
 
     def concat(self, columns, new_column=None, delimiter=','):
         for column in columns:
@@ -196,6 +220,8 @@ class TransformProcess(object):
         self.final_schema.add_string_column(new_column)
         self.add_step('exec', 'transform(ConcatenateStringColumns({}, {}, Arrays.asList({})))'.format(
             _dq(new_column), _dq(delimiter), ', '.join(columns)))
+        if not self.inplace:
+            return self
 
     def remove_white_spaces(self, column):
         if self.final_schema.columns[column][0] != 'string':
@@ -203,6 +229,8 @@ class TransformProcess(object):
                 'Can not apply remove_white_spaces transform to column {} because it is not a string column'.format(column))
         self.add_step(
             'exec', 'transform(RemoveWhiteSpaceTransform({}))'.format(_dq(column)))
+        if not self.inplace:
+            return self
 
     def replace_empty_string(self, column, value):
         if self.final_schema.columns[column][0] != 'string':
@@ -210,6 +238,8 @@ class TransformProcess(object):
                 'Can not apply replace_empty_string transform to column {} because it is not a string column'.format(column))
         self.add_step('exec', 'transform(ReplaceEmptyStringTransform({}, {}))'.format(
             _dq(column), _dq(value)))
+        if not self.inplace:
+            return self
 
     def replace_string(self, column, *args):
         if self.final_schema.columns[column][0] != 'string':
@@ -228,6 +258,8 @@ class TransformProcess(object):
                 'Invalid argument. Possible signatures are replace(str, str, str) and replace(str, dict)')
         self.add_step('exec', 'transform(ReplaceStringTransform({}, _dict_to_jmap({}, JMap)))'.format(
             _dq(column), str(args)))
+        if not self.inplace:
+            return self
 
     def map_string(self, column, mapping):
         if self.final_schema.columns[column][0] != 'string':
@@ -235,6 +267,8 @@ class TransformProcess(object):
                 'Can not apply replace_string transform to column {} because it is not a string column'.format(column))
         self.add_step('exec', 'transform(StringMapTransform({}, _dict_to_jmap({}, JMap)))'.format(
             _dq(column), str(mapping)))
+        if not self.inplace:
+            return self
 
     def one_hot(self, column):
         if self.final_schema.columns[column][0] != 'categorical':
@@ -251,6 +285,8 @@ class TransformProcess(object):
                 new_schema[k] = self.final_schema.columns[k]
         self.final_schema.columns = new_schema
         self.add_step('categoricalToOneHot', column)
+        if not self.inplace:
+            return self
 
     def reduce(self, key, *args, **kwargs):
         # possible signatures:
@@ -328,6 +364,8 @@ class TransformProcess(object):
                 new_type = reduction_to_type.get(reduction, old_type)
                 new_schema[k] = [new_type, new_name]
         self.final_schema.columns = new_schema
+        if not self.inplace:
+            return self
 
     def serialize(self):
         config = {'steps': self.steps, 'schema': self.schema.serialize()}
@@ -375,7 +413,7 @@ class TransformProcess(object):
         for step in self.steps:
             if step[0] == "exec":
                 code = step[1]
-                print(code)
+                logging.info(code)
                 exec("builder." + code)
             else:
                 f = getattr(builder, step[0])
@@ -389,7 +427,8 @@ class TransformProcess(object):
             if executor == 'spark':
                 from .java_classes import spark_available
                 if not spark_available:
-                    warnings.warn('Spark not available. Running local executor instead.')
+                    warnings.warn(
+                        'Spark not available. Running local executor instead.')
                     from .executors import LocalExecutor
                     executor = LocalExecutor()
                     self.executors['local'] = executor

pydatavec/pydatavec/utils.py

@@ -20,7 +20,8 @@ import requests
 import sys
 import time
 import math
-
+import logging
+import warnings
 
 def _mean(x):
     s = float(sum(x))
@@ -142,7 +143,6 @@ class ProgressBar(object):
 
 
 def download_file(url, file_name):
-    #u = urlopen(url)
     r = requests.get(url, stream=True)
     file_size = int(r.headers['Content-length'])
     '''
@@ -157,15 +157,15 @@ def download_file(url, file_name):
         if local_file_size == file_size:
             file_exists = True
         else:
-            print("File corrupt. Downloading again.")
+            warnings.warn("File corrupt. Downloading again.")
             os.remove(file_name)
     if not file_exists:
         factor = int(math.floor(math.log(file_size)/math.log(1024)))
         display_file_size = str(file_size / 1024 ** factor) + \
             ['B', 'KB', 'MB', 'GB', 'TB', 'PB'][factor]
-        print("Source: " + url)
-        print("Destination " + file_name)
-        print("Size: " + display_file_size)
+        logging.info("Source: " + url)
+        logging.info("Destination " + file_name)
+        logging.info("Size: " + display_file_size)
         file_size_dl = 0
         block_sz = 8192
         f = open(file_name, 'wb')
@@ -182,5 +182,5 @@ def download_file(url, file_name):
             # print(status)
         f.close()
     else:
-        print("File already exists - " + file_name)
+        logging.info("File already exists - " + file_name)
         return True

pydatavec/setup.py

@@ -22,7 +22,7 @@ from setuptools import find_packages
 
 
 setup(name='pydatavec',
-      version='0.1',
+      version='0.1.1',
       description='Python interface for DataVec',
       long_description='Python interface for DataVec',
 

pydatavec/tests/test_reduce.py

@@ -63,7 +63,8 @@ def test_reduce_3():
 
 
 def test_reduce_4():
-    reductions = ['first', 'last', 'append', 'prepend', 'count', 'count_unique']
+    reductions = ['first', 'last', 'append',
+                  'prepend', 'count', 'count_unique']
     for red in reductions:
         schema = Schema()
         schema.add_string_column('col1')
@@ -76,7 +77,8 @@ def test_reduce_4():
 
 
 def test_reduce_5():
-    reductions = ['first', 'last', 'append', 'prepend', 'count', 'count_unique']
+    reductions = ['first', 'last', 'append',
+                  'prepend', 'count', 'count_unique']
     for red1 in reductions:
         for red2 in reductions:
             schema = Schema()
@@ -90,7 +92,8 @@ def test_reduce_5():
 
 
 def test_reduce_6():
-    reductions = ['first', 'last', 'append', 'prepend', 'count', 'count_unique']
+    reductions = ['first', 'last', 'append',
+                  'prepend', 'count', 'count_unique']
     for red1 in reductions:
         for red2 in reductions:
             schema = Schema()