Feat/anywidget

buckaroo/buckaroo_widget.py

@@ -12,9 +12,9 @@
 from ipywidgets import DOMWidget
 import json
 import pandas as pd
+import traitlets
 from traitlets import Unicode, List, Dict, observe
-
-from ._frontend import module_name, module_version
+import anywidget
 
 
 from .customizations.analysis import (TypingStats, ComputedDefaultSummaryStats, DefaultSummaryStats)
@@ -28,19 +28,18 @@
 from .dataflow.dataflow import CustomizableDataflow, StylingAnalysis
 from .dataflow.dataflow_extras import (Sampling, exception_protect, merge_column_config)
 from .dataflow.autocleaning import PandasAutocleaning
+import importlib.metadata
+import pathlib
+
+import anywidget
 
 
-class BuckarooProjectWidget(DOMWidget):
+class BuckarooProjectWidget(anywidget.AnyWidget):
     """
     Repetitious code needed to make Jupyter communicate properly with any BuckarooWidget in this package
 
     """
-    _model_module = Unicode(module_name).tag(sync=True)
-    _view_module  = Unicode(module_name).tag(sync=True)
-
-    _model_module_version = Unicode(module_version).tag(sync=True)
-    _view_module_version  = Unicode(module_version).tag(sync=True)
-
+    pass
 
 
 class PdSampling(Sampling):
@@ -73,11 +72,9 @@ class BuckarooWidget(CustomizableDataflow, BuckarooProjectWidget):
     Also adds buckaroo_state object and communication to simpler CustomizableDataFlow implementations
 
     """
+    _esm = pathlib.Path(__file__).parent.parent / "src" / "buckaroo_anywidget" / "static" / "widget.js"
+    _css = pathlib.Path(__file__).parent.parent / "src" / "buckaroo_anywidget" / "static" / "widget.css"
 
-    #### DOMWidget Boilerplate
-    _model_name = Unicode('DCEFWidgetModel').tag(sync=True)
-    _view_name = Unicode('DCEFWidgetView').tag(sync=True)
-    #END DOMWidget Boilerplate
 
     sampling_klass = PdSampling
     autocleaning_klass = PandasAutocleaning #override the base CustomizableDataFlow klass
@@ -150,7 +147,7 @@ def to_widgetdcfecell_ex(self):
 
 const buckaroo_state = {json.dumps(self.buckaroo_state, indent=4)}
 
-const commandConfig = {json.dumps(self.commandConfig, indent=4)}
+const command_config = {json.dumps(self.command_config, indent=4)}
 
 const w_operations = {json.dumps(self.operations, indent=4)}
 
@@ -167,7 +164,7 @@ def to_widgetdcfecell_ex(self):
             buckaroo_options={{buckaroo_options}}
             buckaroo_state={{bState}}
             on_buckaroo_state={{setBState}}
-            commandConfig={{commandConfig}}
+            command_config={{command_config}}
             operations={{operations}}
             on_operations={{setOperations}}
             operation_results={{operation_results}}

buckaroo/dataflow/autocleaning.py

@@ -17,7 +17,7 @@ def dumb_merge_ops(existing_ops, cleaning_ops):
 class SentinelAutocleaning:
 
     def __init__(self, confs):
-        self.commandConfig = {}
+        self.command_config = {}
 
     def handle_ops_and_clean(self, df, cleaning_method, quick_command_args, existing_operations):
         cleaning_ops = []
@@ -129,7 +129,7 @@ def _setup_from_command_kls_list(self, name):
 
         c_defaults, c_patterns, df_interpreter, gencode_interpreter = configure_buckaroo(c_klasses)
         self.df_interpreter, self.gencode_interpreter = df_interpreter, gencode_interpreter
-        self.commandConfig = dict(argspecs=c_patterns, defaultArgs=c_defaults)
+        self.command_config = dict(argspecs=c_patterns, defaultArgs=c_defaults)
         self.quick_command_klasses = conf.quick_command_klasses
 
 

buckaroo/dataflow/dataflow.py

@@ -37,7 +37,7 @@ def __init__(self, raw_df):
         self.summary_sd = {}
         self.existing_operations = []
         self.ac_obj = self.autocleaning_klass(self.autoclean_conf)
-        self.commandConfig = self.ac_obj.commandConfig
+        self.command_config = self.ac_obj.command_config
         try:
             self.raw_df = raw_df
         except Exception:
@@ -46,7 +46,7 @@ def __init__(self, raw_df):
     autocleaning_klass = SentinelAutocleaning
     autoclean_conf = tuple()
 
-    commandConfig = Dict({}).tag(sync=True)
+    command_config = Dict({}).tag(sync=True)
 
 
     raw_df = Any('')
@@ -198,7 +198,7 @@ class CustomizableDataflow(DataFlow):
     This allows targetd extension and customization of DataFlow
     """
     analysis_klasses = [StylingAnalysis]
-    commandConfig = Dict({}).tag(sync=True)
+    command_config = Dict({}).tag(sync=True)
     DFStatsClass = DfStats
     sampling_klass = Sampling
     df_display_klasses = {}