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283 lines
9.2 KiB
Python
283 lines
9.2 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from typing import Any
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from superset.utils.core import as_list
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from .base import MigrateViz
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class MigrateTreeMap(MigrateViz):
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source_viz_type = "treemap"
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target_viz_type = "treemap_v2"
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remove_keys = {"metrics"}
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rename_keys = {"order_desc": "sort_by_metric"}
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def _pre_action(self) -> None:
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if (
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"metrics" in self.data
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and isinstance(self.data["metrics"], list)
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and len(self.data["metrics"]) > 0
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):
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self.data["metric"] = self.data["metrics"][0]
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class MigratePivotTable(MigrateViz):
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source_viz_type = "pivot_table"
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target_viz_type = "pivot_table_v2"
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remove_keys = {"pivot_margins"}
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rename_keys = {
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"columns": "groupbyColumns",
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"combine_metric": "combineMetric",
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"groupby": "groupbyRows",
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"number_format": "valueFormat",
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"pandas_aggfunc": "aggregateFunction",
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"row_limit": "series_limit",
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"timeseries_limit_metric": "series_limit_metric",
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"transpose_pivot": "transposePivot",
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}
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aggregation_mapping = {
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"sum": "Sum",
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"mean": "Average",
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"median": "Median",
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"min": "Minimum",
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"max": "Maximum",
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"std": "Sample Standard Deviation",
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"var": "Sample Variance",
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}
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def _pre_action(self) -> None:
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if pivot_margins := self.data.get("pivot_margins"):
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self.data["colTotals"] = pivot_margins
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self.data["colSubTotals"] = pivot_margins
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if pandas_aggfunc := self.data.get("pandas_aggfunc"):
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self.data["pandas_aggfunc"] = self.aggregation_mapping[pandas_aggfunc]
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self.data["rowOrder"] = "value_z_to_a"
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class MigrateDualLine(MigrateViz):
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has_x_axis_control = True
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source_viz_type = "dual_line"
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target_viz_type = "mixed_timeseries"
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rename_keys = {
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"x_axis_format": "x_axis_time_format",
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"y_axis_2_format": "y_axis_format_secondary",
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"y_axis_2_bounds": "y_axis_bounds_secondary",
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}
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remove_keys = {"metric", "metric_2"}
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def _pre_action(self) -> None:
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self.data["yAxisIndex"] = 0
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self.data["yAxisIndexB"] = 1
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self.data["adhoc_filters_b"] = self.data.get("adhoc_filters")
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self.data["truncateYAxis"] = True
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self.data["metrics"] = [self.data.get("metric")]
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self.data["metrics_b"] = [self.data.get("metric_2")]
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def _migrate_temporal_filter(self, rv_data: dict[str, Any]) -> None:
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super()._migrate_temporal_filter(rv_data)
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rv_data["adhoc_filters_b"] = rv_data.get("adhoc_filters") or []
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class MigrateSunburst(MigrateViz):
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source_viz_type = "sunburst"
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target_viz_type = "sunburst_v2"
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rename_keys = {"groupby": "columns"}
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class TimeseriesChart(MigrateViz):
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has_x_axis_control = True
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rename_keys = {
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"bottom_margin": "x_axis_title_margin",
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"left_margin": "y_axis_title_margin",
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"show_controls": "show_extra_controls",
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"x_axis_label": "x_axis_title",
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"x_axis_format": "x_axis_time_format",
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"x_axis_showminmax": "truncateXAxis",
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"x_ticks_layout": "xAxisLabelRotation",
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"y_axis_label": "y_axis_title",
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"y_axis_showminmax": "truncateYAxis",
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"y_log_scale": "logAxis",
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}
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remove_keys = {
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"contribution",
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"line_interpolation",
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"reduce_x_ticks",
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"show_brush",
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"show_markers",
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}
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def _pre_action(self) -> None:
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self.data["contributionMode"] = "row" if self.data.get("contribution") else None
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self.data["zoomable"] = self.data.get("show_brush") == "yes"
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self.data["markerEnabled"] = self.data.get("show_markers") or False
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self.data["y_axis_showminmax"] = True
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bottom_margin = self.data.get("bottom_margin")
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if self.data.get("x_axis_label") and (
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not bottom_margin or bottom_margin == "auto"
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):
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self.data["bottom_margin"] = 30
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left_margin = self.data.get("left_margin")
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if self.data.get("y_axis_label") and (not left_margin or left_margin == "auto"):
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self.data["left_margin"] = 30
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if (rolling_type := self.data.get("rolling_type")) and rolling_type != "None":
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self.data["rolling_type"] = rolling_type
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if time_compare := self.data.get("time_compare"):
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self.data["time_compare"] = [
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value + " ago" for value in as_list(time_compare) if value
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]
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comparison_type = self.data.get("comparison_type") or "values"
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self.data["comparison_type"] = (
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"difference" if comparison_type == "absolute" else comparison_type
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)
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if x_ticks_layout := self.data.get("x_ticks_layout"):
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self.data["x_ticks_layout"] = 45 if x_ticks_layout == "45°" else 0
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class MigrateLineChart(TimeseriesChart):
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source_viz_type = "line"
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target_viz_type = "echarts_timeseries_line"
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def _pre_action(self) -> None:
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super()._pre_action()
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line_interpolation = self.data.get("line_interpolation")
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if line_interpolation == "cardinal":
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self.target_viz_type = "echarts_timeseries_smooth"
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elif line_interpolation == "step-before":
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self.target_viz_type = "echarts_timeseries_step"
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self.data["seriesType"] = "start"
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elif line_interpolation == "step-after":
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self.target_viz_type = "echarts_timeseries_step"
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self.data["seriesType"] = "end"
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class MigrateAreaChart(TimeseriesChart):
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source_viz_type = "area"
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target_viz_type = "echarts_area"
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stacked_map = {
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"expand": "Expand",
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"stack": "Stack",
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"stream": "Stream",
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}
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def _pre_action(self) -> None:
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super()._pre_action()
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self.remove_keys.add("stacked_style")
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self.data["stack"] = self.stacked_map.get(
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self.data.get("stacked_style") or "stack"
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)
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self.data["opacity"] = 0.7
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class MigrateBarChart(TimeseriesChart):
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source_viz_type = "bar"
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target_viz_type = "echarts_timeseries_bar"
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def _pre_action(self) -> None:
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super()._pre_action()
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self.rename_keys["show_bar_value"] = "show_value"
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self.remove_keys.add("bar_stacked")
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self.data["stack"] = "Stack" if self.data.get("bar_stacked") else None
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class MigrateDistBarChart(TimeseriesChart):
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source_viz_type = "dist_bar"
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target_viz_type = "echarts_timeseries_bar"
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has_x_axis_control = False
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def _pre_action(self) -> None:
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super()._pre_action()
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groupby = self.data.get("groupby") or []
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columns = self.data.get("columns") or []
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if len(groupby) > 0:
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# x-axis supports only one value
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self.data["x_axis"] = groupby[0]
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self.data["groupby"] = []
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if len(groupby) > 1:
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# rest of groupby will go into dimensions
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self.data["groupby"] += groupby[1:]
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if len(columns) > 0:
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self.data["groupby"] += columns
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self.rename_keys["show_bar_value"] = "show_value"
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self.remove_keys.add("columns")
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self.remove_keys.add("bar_stacked")
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self.data["stack"] = "Stack" if self.data.get("bar_stacked") else None
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class MigrateBubbleChart(MigrateViz):
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source_viz_type = "bubble"
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target_viz_type = "bubble_v2"
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rename_keys = {
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"bottom_margin": "x_axis_title_margin",
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"left_margin": "y_axis_title_margin",
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"limit": "row_limit",
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"x_axis_format": "xAxisFormat",
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"x_log_scale": "logXAxis",
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"x_ticks_layout": "xAxisLabelRotation",
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"y_axis_showminmax": "truncateYAxis",
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"y_log_scale": "logYAxis",
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}
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remove_keys = {"x_axis_showminmax"}
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def _pre_action(self) -> None:
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bottom_margin = self.data.get("bottom_margin")
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if self.data.get("x_axis_label") and (
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not bottom_margin or bottom_margin == "auto"
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):
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self.data["bottom_margin"] = 30
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if x_ticks_layout := self.data.get("x_ticks_layout"):
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self.data["x_ticks_layout"] = 45 if x_ticks_layout == "45°" else 0
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# Truncate y-axis by default to preserve layout
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self.data["y_axis_showminmax"] = True
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class MigrateHeatmapChart(MigrateViz):
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source_viz_type = "heatmap"
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target_viz_type = "heatmap_v2"
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rename_keys = {
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"all_columns_x": "x_axis",
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"all_columns_y": "groupby",
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"y_axis_bounds": "value_bounds",
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"show_perc": "show_percentage",
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}
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remove_keys = {"sort_by_metric", "canvas_image_rendering"}
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def _pre_action(self) -> None:
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self.data["legend_type"] = "continuous"
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