Fix to ensure ML isn't necessary (#100)

* fix running without TF installed

* version increment

.github/workflows/test-python-package.yml

@@ -36,4 +36,4 @@ jobs:
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Test with pytest
       run: |
-        pytest
+        pytest --forked

dataprofiler/profilers/profile_builder.py

@@ -365,16 +365,38 @@ def __init__(self, data, samples_per_update=None, min_true_samples=None,
         if isinstance(data, data_readers.text_data.TextData):
             raise TypeError("Cannot provide TextData object to Profiler")
 
-        # assign data labeler
         # assign data labeler
         data_labeler_options = self.options.structured_options.data_labeler
         if data_labeler_options.is_enabled \
                 and data_labeler_options.data_labeler_object is None:
-            data_labeler = DataLabeler(
-                labeler_type='structured',
-                dirpath=data_labeler_options.data_labeler_dirpath,
-                load_options=None)
-            self.options.set({'data_labeler.data_labeler_object': data_labeler})
+
+            try:
+
+                data_labeler = DataLabeler(
+                    labeler_type='structured',
+                    dirpath=data_labeler_options.data_labeler_dirpath,
+                    load_options=None)
+                self.options.set({'data_labeler.data_labeler_object': data_labeler})
+
+            except Exception as e:
+
+                import warnings
+                warning_msg = "\n\n!!! WARNING Partial Profiler Failure !!!\n\n"
+                warning_msg += "Profiling Type: {}".format('data_labeler')
+                warning_msg += "\nException: {}".format(type(e).__name__)
+                warning_msg += "\nMessage: {}".format(e)
+
+                # This is considered a major error
+                if type(e).__name__ == "ValueError":
+                    raise ValueError(e)
+
+                warning_msg += "\n\nFor labeler errors, try installing "
+                warning_msg += "the extra ml requirements via:\n\n"
+                warning_msg += "$ pip install dataprofiler[ml] --user\n\n"
+
+                warnings.warn(warning_msg, RuntimeWarning, stacklevel=2)
+
+                self.options.set({'data_labeler.is_enabled': False})
 
         self.update_profile(data)
 

dataprofiler/version.py

@@ -4,7 +4,7 @@
 
 MAJOR               = 0
 MINOR               = 4
-MICRO               = 0
+MICRO               = 1
 
 VERSION             = '%d.%d.%d' % (MAJOR, MINOR, MICRO)