Merge branch 'master' of https://github.com/databrickslabs/dbldatagen

merged of changes from remote

CHANGELOG.md

@@ -3,23 +3,32 @@
 ## Change History
 All notable changes to the Databricks Labs Data Generator will be documented in this file.
 
+### Version 0.3.4
+
+#### Changed
+* Modified option to allow for range when specifying `numFeatures` with `structType='array'` to allow generation
+  of varying number of columns
+* When generating multi-column or array valued columns, compute random seed with different name for each column
+* Additional build ordering enhancements to reduce circumstances where explicit base column must be specified
+
+#### Added
+* Scripting of data generation code from schema (Experimental)
+* Scripting of data generation code from dataframe (Experimental)
+* Added top level `random` attribute to data generator specification constructor
+
+
 ### Version 0.3.3post2
 
 #### Changed
 * Fixed use of logger in _version.py and in spark_singleton.py
 * Fixed template issues 
 * Document reformatting and updates, related code comment changes
-* Modified option to allow for range when specifying `numFeatures` with `structType='array'` to allow generation
-  of varying number of columns
-* When generating multi-column or array valued columns, compute random seed with different name for each column
 
 ### Fixed
 * Apply pandas optimizations when generating multiple columns using same `withColumn` or `withColumnSpec`
 
 ### Added
 * Added use of prospector to build process to validate common code issues
-* Added top level `random` attribute to data generator specification constructor
-
 
 
 ### Version 0.3.2

README.md

@@ -51,6 +51,7 @@ used in other computations
 * use of SQL expressions in synthetic data generation
 * plugin mechanism to allow use of 3rd party libraries such as Faker
 * Use within a Databricks Delta Live Tables pipeline as a synthetic data generation source
+* Generate synthetic data generation code from existing schema or data (experimental)
 
 Details of these features can be found in the online documentation  -
  [online documentation](https://databrickslabs.github.io/dbldatagen/public_docs/index.html). 
@@ -62,7 +63,7 @@ details of use and many examples.
 
 Release notes and details of the latest changes for this specific release
 can be found in the GitHub repository
-[here](https://github.com/databrickslabs/dbldatagen/blob/release/v0.3.3post2/CHANGELOG.md)
+[here](https://github.com/databrickslabs/dbldatagen/blob/release/v0.3.4/CHANGELOG.md)
 
 # Installation
 

dbldatagen/__init__.py

@@ -27,7 +27,7 @@
 from .datagen_constants import DEFAULT_RANDOM_SEED, RANDOM_SEED_RANDOM, RANDOM_SEED_FIXED, \
                                RANDOM_SEED_HASH_FIELD_NAME, MIN_PYTHON_VERSION, MIN_SPARK_VERSION
 from .utils import ensure, topologicalSort, mkBoundsList, coalesce_values, \
-    deprecated, parse_time_interval, DataGenError, split_list_matching_condition
+    deprecated, parse_time_interval, DataGenError, split_list_matching_condition, strip_margins
 from ._version import __version__
 from .column_generation_spec import ColumnGenerationSpec
 from .column_spec_options import ColumnSpecOptions

dbldatagen/_version.py

@@ -33,7 +33,7 @@ def get_version(version):
     return version_info
 
 
-__version__ = "0.3.3post2"  # DO NOT EDIT THIS DIRECTLY!  It is managed by bumpversion
+__version__ = "0.3.4"  # DO NOT EDIT THIS DIRECTLY!  It is managed by bumpversion
 __version_info__ = get_version(__version__)