mirror of https://github.com/apache/superset.git
Merge pull request #111 from mistercrunch/load_ex_dash
Loading another example amazing dash
This commit is contained in:
commit
ba30dc4c22
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@ -55,6 +55,7 @@ def load_examples(sample):
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print("Loading [World Bank's Health Nutrition and Population Stats]")
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data.load_world_bank_health_n_pop()
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print("Loading [Birth names]")
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data.load_birth_names()
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@ -7,6 +7,12 @@ from sqlalchemy import String, DateTime
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from panoramix import app, db, models, utils
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# Shortcuts
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DB = models.Database
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Slice = models.Slice
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TBL = models.SqlaTable
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Dash = models.Dashboard
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config = app.config
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DATA_FOLDER = os.path.join(config.get("BASE_DIR"), 'data')
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@ -14,7 +20,6 @@ DATA_FOLDER = os.path.join(config.get("BASE_DIR"), 'data')
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def get_or_create_db(session):
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print("Creating database reference")
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DB = models.Database
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dbobj = session.query(DB).filter_by(database_name='main').first()
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if not dbobj:
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dbobj = DB(database_name="main")
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@ -25,13 +30,28 @@ def get_or_create_db(session):
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return dbobj
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def merge_slice(slc):
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o = db.session.query(Slice).filter_by(slice_name=slc.slice_name).first()
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if o:
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db.session.delete(o)
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db.session.add(slc)
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db.session.commit()
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def get_slice_json(defaults, **kwargs):
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d = defaults.copy()
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d.update(kwargs)
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return json.dumps(d, indent=4, sort_keys=True)
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def load_world_bank_health_n_pop():
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tbl = 'wb_health_population'
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tbl_name = 'wb_health_population'
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with gzip.open(os.path.join(DATA_FOLDER, 'countries.json.gz')) as f:
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pdf = pd.read_json(f)
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pdf.columns = [col.replace('.', '_') for col in pdf.columns]
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pdf.year = pd.to_datetime(pdf.year)
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pdf.to_sql(
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tbl,
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tbl_name,
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db.engine,
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if_exists='replace',
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chunksize=500,
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@ -42,17 +62,220 @@ def load_world_bank_health_n_pop():
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'region': String(255),
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},
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index=False)
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print("Creating table reference")
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TBL = models.SqlaTable
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obj = db.session.query(TBL).filter_by(table_name=tbl).first()
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if not obj:
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obj = TBL(table_name='wb_health_population')
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obj.description = utils.readfile(os.path.join(DATA_FOLDER, 'countries.md'))
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obj.main_dttm_col = 'year'
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obj.database = get_or_create_db(db.session)
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db.session.merge(obj)
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print("Creating table [wb_health_population] reference")
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tbl = db.session.query(TBL).filter_by(table_name=tbl_name).first()
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if not tbl:
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tbl = TBL(table_name=tbl_name)
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tbl.description = utils.readfile(os.path.join(DATA_FOLDER, 'countries.md'))
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tbl.main_dttm_col = 'year'
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tbl.database = get_or_create_db(db.session)
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db.session.merge(tbl)
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db.session.commit()
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tbl.fetch_metadata()
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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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"metric": 'sum__SP_POP_TOTL',
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"metrics": ["sum__SP_POP_TOTL"],
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"row_limit": config.get("ROW_LIMIT"),
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"since": "2014-01-01",
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"until": "2014-01-01",
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"where": "",
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"markup_type": "markdown",
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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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}
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print("Creating slices")
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slices = [
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Slice(
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slice_name="Region Filter",
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viz_type='filter_box',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type='filter_box',
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groupby=['region'],
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)),
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Slice(
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slice_name="World's Population",
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viz_type='big_number',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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since='2000',
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viz_type='big_number',
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compare_lag="10",
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metric='sum__SP_POP_TOTL',
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compare_suffix="over 10Y")),
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Slice(
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slice_name="Most Populated Countries",
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viz_type='table',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type='table',
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metrics=["sum__SP_POP_TOTL"],
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groupby=['country_name'])),
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Slice(
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slice_name="Growth Rate",
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viz_type='line',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type='line',
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since="1960-01-01",
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metrics=["sum__SP_POP_TOTL"],
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num_period_compare="10",
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groupby=['country_name'])),
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Slice(
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slice_name="% Rural",
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viz_type='world_map',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type='world_map',
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metric= "sum__SP_RUR_TOTL_ZS",
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num_period_compare="10",)),
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Slice(
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slice_name="Life Expexctancy VS Rural %",
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viz_type='bubble',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type='bubble',
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since= "2011-01-01",
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until= "2011-01-01",
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series="region",
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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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Slice(
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slice_name="Rural Breakdown",
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viz_type='sunburst',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type='sunburst',
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groupby=["region", "country_name"],
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secondary_metric="sum__SP_RUR_TOTL",
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since= "2011-01-01",
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until= "2011-01-01",)),
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Slice(
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slice_name="World's Pop Growth",
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viz_type='area',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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since="1960-01-01",
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until="now",
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viz_type='area',
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groupby=["region"],)),
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]
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for slc in slices:
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merge_slice(slc)
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print("Creating a World's Health Bank dashboard")
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dash_name = "World's Health Bank Dashboard"
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dash = db.session.query(Dash).filter_by(dashboard_title=dash_name).first()
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if dash:
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db.session.delete(dash)
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js = """\
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[
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{
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"size_y": 1,
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"size_x": 3,
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"col": 1,
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"slice_id": "269",
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"row": 1
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},
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{
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"size_y": 3,
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"size_x": 3,
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"col": 1,
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"slice_id": "270",
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"row": 2
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},
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{
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"size_y": 7,
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"size_x": 3,
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"col": 10,
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"slice_id": "271",
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"row": 1
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},
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{
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"size_y": 3,
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"size_x": 6,
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"col": 1,
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"slice_id": "272",
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"row": 5
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},
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{
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"size_y": 4,
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"size_x": 6,
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"col": 4,
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"slice_id": "273",
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"row": 1
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},
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{
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"size_y": 4,
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"size_x": 6,
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"col": 7,
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"slice_id": "274",
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"row": 8
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},
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{
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"size_y": 3,
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"size_x": 3,
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"col": 7,
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"slice_id": "275",
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"row": 5
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},
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{
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"size_y": 4,
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"size_x": 6,
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"col": 1,
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"slice_id": "276",
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"row": 8
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}
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]
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"""
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l = json.loads(js)
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for i, pos in enumerate(l):
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pos['slice_id'] = str(slices[i].id)
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dash = Dash(
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dashboard_title=dash_name,
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position_json=json.dumps(l, indent=4),
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)
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for s in slices:
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dash.slices.append(s)
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db.session.commit()
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obj.fetch_metadata()
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def load_birth_names():
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@ -77,20 +300,16 @@ def load_birth_names():
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print("-" * 80)
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print("Creating table reference")
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TBL = models.SqlaTable
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obj = db.session.query(TBL).filter_by(table_name='birth_names').first()
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if not obj:
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obj = TBL(table_name = 'birth_names')
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obj.main_dttm_col = 'ds'
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obj.database = get_or_create_db(db.session)
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models.Table
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db.session.merge(obj)
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db.session.commit()
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obj.fetch_metadata()
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tbl = obj
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print("Creating some slices")
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def get_slice_json(**kwargs):
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defaults = {
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"compare_lag": "10",
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"compare_suffix": "o10Y",
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@ -98,9 +317,6 @@ def load_birth_names():
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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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"flt_col_1": "gender",
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"flt_eq_1": "",
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"flt_op_1": "in",
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"granularity": "ds",
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"groupby": [],
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"metric": 'sum__num',
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@ -112,119 +328,101 @@ def load_birth_names():
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"where": "",
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"markup_type": "markdown",
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}
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d = defaults.copy()
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d.update(kwargs)
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return json.dumps(d, indent=4, sort_keys=True)
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Slice = models.Slice
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slices = []
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def merge_slice(slc):
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o = db.session.query(
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Slice).filter_by(slice_name=slc.slice_name).first()
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if o:
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db.session.delete(slc)
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db.session.add(slc)
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session.commit()
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slices.append(slc)
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merge_slice(
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print("Creating some slices")
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slices = [
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Slice(
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slice_name="Girls",
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viz_type='table',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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groupby=['name'], flt_eq_1="girl", row_limit=50)))
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merge_slice(
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defaults,
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groupby=['name'], flt_eq_1="girl", 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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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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groupby=['name'], flt_eq_1="boy", row_limit=50)))
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merge_slice(
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defaults,
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groupby=['name'], flt_eq_1="boy", row_limit=50)),
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Slice(
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slice_name="Participants",
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viz_type='big_number',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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defaults,
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viz_type="big_number", granularity="ds",
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compare_lag="5", compare_suffix="over 5Y")))
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merge_slice(
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compare_lag="5", compare_suffix="over 5Y")),
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Slice(
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slice_name="Genders",
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viz_type='pie',
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datasource_type='table',
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table=tbl,
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params=get_slice_json(
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viz_type="pie", groupby=['gender'])))
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merge_slice(
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defaults,
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viz_type="pie", groupby=['gender'])),
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Slice(
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slice_name="Genders by State",
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viz_type='dist_bar',
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datasource_type='table',
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table=tbl,
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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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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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merge_slice(
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groupby=['state'], flt_op_1='not in', flt_col_1='state')),
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Slice(
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slice_name="Trends",
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viz_type='line',
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datasource_type='table',
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table=tbl,
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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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code = """
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<div style="text-align:center">
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<h1>Birth Names Dashboard</h1>
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<p>The source dataset came from <a href="https://github.com/hadley/babynames">[here]</a></p>
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<img src="http://monblog.system-linux.net/image/tux/baby-tux_overlord59-tux.png">
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</div>
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"""
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merge_slice(
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granularity='ds', rich_tooltip='y', show_legend='y')),
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Slice(
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slice_name="Title",
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||||
viz_type='markup',
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datasource_type='table',
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||||
table=tbl,
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params=get_slice_json(
|
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defaults,
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viz_type="markup", markup_type="html",
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code=code)))
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merge_slice(
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code="""\
|
||||
<div style="text-align:center">
|
||||
<h1>Birth Names Dashboard</h1>
|
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<p>The source dataset came from <a href="https://github.com/hadley/babynames">[here]</a></p>
|
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<img src="http://monblog.system-linux.net/image/tux/baby-tux_overlord59-tux.png">
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</div>
|
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"""
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)),
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Slice(
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slice_name="Name Cloud",
|
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viz_type='word_cloud',
|
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datasource_type='table',
|
||||
table=tbl,
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||||
params=get_slice_json(
|
||||
defaults,
|
||||
viz_type="word_cloud", size_from="10",
|
||||
series='name', size_to="70", rotation="square",
|
||||
limit='100')))
|
||||
|
||||
merge_slice(
|
||||
limit='100')),
|
||||
Slice(
|
||||
slice_name="Pivot Table",
|
||||
viz_type='pivot_table',
|
||||
datasource_type='table',
|
||||
table=tbl,
|
||||
params=get_slice_json(
|
||||
defaults,
|
||||
viz_type="pivot_table", metrics=['sum__num'],
|
||||
groupby=['name'], columns=['state'])))
|
||||
groupby=['name'], columns=['state'])),
|
||||
]
|
||||
for slc in slices:
|
||||
merge_slice(slc)
|
||||
|
||||
print("Creating a dashboard")
|
||||
Dash = models.Dashboard
|
||||
dash = session.query(Dash).filter_by(dashboard_title="Births").first()
|
||||
|
||||
if dash:
|
||||
|
|
|
@ -11,7 +11,6 @@ from dateutil.parser import parse
|
|||
from flask import flash
|
||||
from flask.ext.appbuilder import Model
|
||||
from flask.ext.appbuilder.models.mixins import AuditMixin
|
||||
import pandas as pd
|
||||
from pandas import read_sql_query
|
||||
from pydruid import client
|
||||
from pydruid.utils.filters import Dimension, Filter
|
||||
|
@ -457,8 +456,8 @@ class SqlaTable(Model, Queryable, AuditMixinNullable):
|
|||
qry = qry.group_by(*groupby_exprs)
|
||||
|
||||
time_filter = [
|
||||
timestamp >= from_dttm.isoformat(),
|
||||
timestamp <= to_dttm.isoformat(),
|
||||
timestamp >= from_dttm,
|
||||
timestamp <= to_dttm,
|
||||
]
|
||||
inner_time_filter = copy(time_filter)
|
||||
if inner_from_dttm:
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
/*
|
||||
Modified from http://bl.ocks.org/kerryrodden/7090426
|
||||
*/
|
||||
Modified from http://bl.ocks.org/kerryrodden/7090426
|
||||
*/
|
||||
|
||||
function viz_sunburst(slice) {
|
||||
var container = d3.select(slice.selector);
|
||||
|
@ -108,6 +108,30 @@ function viz_sunburst(slice) {
|
|||
.text("m2/m1: " + fp(d.m2/d.m1));
|
||||
|
||||
var sequenceArray = getAncestors(d);
|
||||
function breadcrumbPoints(d, i) {
|
||||
var points = [];
|
||||
points.push("0,0");
|
||||
points.push(b.w + ",0");
|
||||
points.push(b.w + b.t + "," + (b.h / 2));
|
||||
points.push(b.w + "," + b.h);
|
||||
points.push("0," + b.h);
|
||||
if (i > 0) { // Leftmost breadcrumb; don't include 6th vertex.
|
||||
points.push(b.t + "," + (b.h / 2));
|
||||
}
|
||||
return points.join(" ");
|
||||
}
|
||||
|
||||
// Update the breadcrumb trail to show the current sequence and percentage.
|
||||
function updateBreadcrumbs(nodeArray, percentageString) {
|
||||
l = [];
|
||||
for(var i=0; i<nodeArray.length; i++){
|
||||
l.push(nodeArray[i].name)
|
||||
}
|
||||
s = l.join(' > ')
|
||||
gMiddleText.append("text").text(s).classed("middle", true)
|
||||
.attr("y", -75);
|
||||
}
|
||||
updateBreadcrumbs(sequenceArray, percentageString);
|
||||
|
||||
// Fade all the segments.
|
||||
container.selectAll("path")
|
||||
|
|
|
@ -41,6 +41,11 @@
|
|||
</a>
|
||||
</span>
|
||||
<span>{{ form.get_field("viz_type")(class_="select2") }}</span>
|
||||
<span class="alert alert-info" title="Slice Name" data-toggle="tooltip">{{ viz.form_data.slice_name }}
|
||||
<a class="" href="/slicemodelview/edit/{{ viz.form_data.slice_id }}" data-toggle="tooltip" title="Edit Slice metadata">
|
||||
<i class="fa fa-edit"></i>
|
||||
</a>
|
||||
</span>
|
||||
<div class="btn-group results pull-right" role="group">
|
||||
<span class="btn btn-default" id="standalone" title="Standalone version, use to embed anywhere" data-toggle="tooltip">
|
||||
<i class="fa fa-code"></i>
|
||||
|
|
4
setup.py
4
setup.py
|
@ -17,7 +17,7 @@ setup(
|
|||
zip_safe=False,
|
||||
scripts=['panoramix/bin/panoramix'],
|
||||
install_requires=[
|
||||
'alembic>=0.7.7, <0.8.0',
|
||||
'alembic>=0.8.2, <0.9.0',
|
||||
'cryptography>=1.1.1, <2.0.0',
|
||||
'flask-appbuilder>=1.4.5, <2.0.0',
|
||||
'flask-login==0.2.11',
|
||||
|
@ -35,7 +35,7 @@ setup(
|
|||
'python-dateutil>=2.4.2, <3.0.0',
|
||||
'requests>=2.7.0, <3.0.0',
|
||||
'sqlalchemy-utils>=0.31.3, <0.32.0',
|
||||
'sqlalchemy==1.0.8',
|
||||
'sqlalchemy>=1.0.8, <2.0.0',
|
||||
'sqlparse>=0.1.16, <0.2.0',
|
||||
'werkzeug==0.11.2, <0.12.0',
|
||||
],
|
||||
|
|
|
@ -28,6 +28,7 @@ class LiveTest(TestCase):
|
|||
def test_slices(self):
|
||||
Slc = models.Slice
|
||||
for slc in db.session.query(Slc).all():
|
||||
print(slc)
|
||||
self.client.get(slc.slice_url)
|
||||
viz = slc.viz
|
||||
self.client.get(viz.get_url())
|
||||
|
|
Loading…
Reference in New Issue