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[WiP] Deprecate Explore v1 (#2064)
* Simplifying the viz interface (#2005) * Working on dashes * Making this a collaborative branch * Fixing some bugs * Fixing bugs * More improvements * Add datasource back in bootstrap data * Decent state * Linting * Moving forward * Some more linting * Fix the timer * Triggering events through state * Lingint * Put filters in an array instead of flt strings (#2090) * Put filters in an array instead of flt strings * Remove query_filter(), put opChoices into Filter * Update version_info.json * Fix migrations * More renderTrigger=true * Fixing bugs * Working on standalone * getting standalone to work * Fixed forcedHeight for standalone =view * Linting * Get save slice working in v2 (#2106) * Filter bugfix * Fixing empty series limit bug * Fixed dashboard view * Fixing short urls * Only allow owners to overwrite slice (#2142) * Raise exception when date range is wrong * Only allow owner to overwrite a slice * Fix tests for deprecate v1 (#2140) * Fixed tests for control panels container and filters * Fixed python tests for explorev2 * Fix linting errors * Add in stop button during slice querying/rendering (#2121) * Add in stop button during slice querying/rendering * Abort ajax request on stop * Adding missing legacy module * Removing select2.sortable.js because of license * Allow query to display while slice is loading (#2100) * Allow query to display while slice is loading * Put latestQueryFormData in store * Reorganized query function, got rid of tu[le return values * Merging migrations * Wrapping up shortner migration * Fixing tests * Add folder creation to syncBackend * Fixing edit URL in explore view * Fix look of Stop button * Adding syntax highlighting to query modal * Fix cast_form_data and flase checkbox on dash * Bugfix * Going deeper * Fix filtering * Deleing invalid filters when changing datasource * Minor adjustments * Fixing calendar heatmap examples * Moving edit datasource button to header's right side * Fixing mapbox example * Show stack trace when clicking alert * Adding npm sync-backend command to build instruction * Bumping up JS dependencies * rm dep on select2 * Fix py3 urlparse * rm superset-select2.js * Improving migration scripts * Bugfixes on staging * Fixing Markup viz
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@@ -80,12 +80,6 @@ def load_energy():
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params=textwrap.dedent("""\
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{
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"collapsed_fieldsets": "",
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"datasource_id": "3",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"groupby": [
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"source",
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"target"
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@@ -111,12 +105,6 @@ def load_energy():
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{
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"charge": "-500",
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"collapsed_fieldsets": "",
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"datasource_id": "1",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"groupby": [
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"source",
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"target"
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@@ -145,12 +133,6 @@ def load_energy():
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"all_columns_y": "target",
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"canvas_image_rendering": "pixelated",
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"collapsed_fieldsets": "",
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"datasource_id": "1",
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"datasource_name": "energy_usage",
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"datasource_type": "table",
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"flt_col_0": "source",
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"flt_eq_0": "",
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"flt_op_0": "in",
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"having": "",
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"linear_color_scheme": "blue_white_yellow",
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"metric": "sum__value",
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@@ -202,9 +184,6 @@ def load_world_bank_health_n_pop():
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defaults = {
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"compare_lag": "10",
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"compare_suffix": "o10Y",
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"datasource_id": "1",
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"datasource_name": "birth_names",
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"datasource_type": "table",
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"limit": "25",
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"granularity": "year",
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"groupby": [],
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@@ -218,7 +197,7 @@ def load_world_bank_health_n_pop():
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"country_fieldtype": "cca3",
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"secondary_metric": "sum__SP_POP_TOTL",
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"entity": "country_code",
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"show_bubbles": "y",
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"show_bubbles": True,
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}
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print("Creating slices")
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@@ -287,16 +266,20 @@ def load_world_bank_health_n_pop():
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since="2011-01-01",
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until="2011-01-02",
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series="region",
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limit="0",
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limit=0,
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entity="country_name",
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x="sum__SP_RUR_TOTL_ZS",
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y="sum__SP_DYN_LE00_IN",
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size="sum__SP_POP_TOTL",
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max_bubble_size="50",
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flt_col_1="country_code",
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flt_op_1="not in",
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flt_eq_1="TCA,MNP,DMA,MHL,MCO,SXM,CYM,TUV,IMY,KNA,ASM,ADO,AMA,PLW",
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num_period_compare="10",)),
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filters=[{
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"col": "country_code",
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"val": [
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"TCA", "MNP", "DMA", "MHL", "MCO", "SXM", "CYM",
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"TUV", "IMY", "KNA", "ASM", "ADO", "AMA", "PLW",
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],
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"op": "not in"}],
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)),
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Slice(
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slice_name="Rural Breakdown",
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viz_type='sunburst',
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@@ -596,10 +579,6 @@ def load_birth_names():
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defaults = {
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"compare_lag": "10",
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"compare_suffix": "o10Y",
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"datasource_id": "1",
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"datasource_name": "birth_names",
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"datasource_type": "table",
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"flt_op_1": "in",
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"limit": "25",
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"granularity": "ds",
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"groupby": [],
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@@ -623,8 +602,12 @@ def load_birth_names():
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params=get_slice_json(
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defaults,
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groupby=['name'],
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flt_col_1='gender',
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flt_eq_1="girl", row_limit=50)),
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filters=[{
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'col': 'gender',
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'op': 'in',
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'val': ['girl'],
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}],
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row_limit=50)),
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Slice(
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slice_name="Boys",
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viz_type='table',
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@@ -633,8 +616,11 @@ def load_birth_names():
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params=get_slice_json(
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defaults,
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groupby=['name'],
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flt_col_1='gender',
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flt_eq_1="boy",
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filters=[{
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'col': 'gender',
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'op': 'in',
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'val': ['boy'],
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}],
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row_limit=50)),
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Slice(
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slice_name="Participants",
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@@ -660,9 +646,14 @@ def load_birth_names():
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datasource_id=tbl.id,
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params=get_slice_json(
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defaults,
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flt_eq_1="other", viz_type="dist_bar",
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filters=[{
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'col': 'state',
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'op': 'not in',
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'val': ['other'],
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}],
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viz_type="dist_bar",
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metrics=['sum__sum_girls', 'sum__sum_boys'],
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groupby=['state'], flt_op_1='not in', flt_col_1='state')),
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groupby=['state'])),
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Slice(
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slice_name="Trends",
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viz_type='line',
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@@ -671,7 +662,7 @@ def load_birth_names():
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params=get_slice_json(
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defaults,
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viz_type="line", groupby=['name'],
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granularity='ds', rich_tooltip='y', show_legend='y')),
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granularity='ds', rich_tooltip=True, show_legend=True)),
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Slice(
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slice_name="Average and Sum Trends",
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viz_type='dual_line',
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@@ -726,7 +717,11 @@ def load_birth_names():
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params=get_slice_json(
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defaults,
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viz_type="big_number_total", granularity="ds",
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flt_col_1='gender', flt_eq_1='girl',
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filters=[{
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'col': 'gender',
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'op': 'in',
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'val': ['girl'],
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}],
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subheader='total female participants')),
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]
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for slc in slices:
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@@ -851,10 +846,6 @@ def load_unicode_test_data():
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tbl = obj
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slice_data = {
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"datasource_id": "3",
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"datasource_name": "unicode_test",
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"datasource_type": "table",
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"flt_op_1": "in",
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"granularity": "date",
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"groupby": [],
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"metric": 'sum__value',
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@@ -934,13 +925,11 @@ def load_random_time_series_data():
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tbl = obj
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slice_data = {
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"datasource_id": "6",
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"datasource_name": "random_time_series",
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"datasource_type": "table",
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"granularity": "day",
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"row_limit": config.get("ROW_LIMIT"),
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"since": "1 year ago",
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"until": "now",
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"metric": "count",
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"where": "",
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"viz_type": "cal_heatmap",
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"domain_granularity": "month",
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@@ -1002,9 +991,6 @@ def load_long_lat_data():
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tbl = obj
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slice_data = {
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"datasource_id": "7",
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"datasource_name": "long_lat",
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"datasource_type": "table",
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"granularity": "day",
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"since": "2014-01-01",
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"until": "now",
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@@ -1084,10 +1070,8 @@ def load_multiformat_time_series_data():
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print("Creating some slices")
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for i, col in enumerate(tbl.columns):
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slice_data = {
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"metric": 'count',
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"granularity_sqla": col.column_name,
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"datasource_id": "8",
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"datasource_name": "multiformat_time_series",
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"datasource_type": "table",
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"granularity": "day",
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"row_limit": config.get("ROW_LIMIT"),
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"since": "1 year ago",
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