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21,400 | apache/incubator-superset | superset/tasks/schedules.py | destroy_webdriver | def destroy_webdriver(driver):
"""
Destroy a driver
"""
# This is some very flaky code in selenium. Hence the retries
# and catch-all exceptions
try:
retry_call(driver.close, tries=2)
except Exception:
pass
try:
driver.quit()
except Exception:
pass | python | def destroy_webdriver(driver):
"""
Destroy a driver
"""
# This is some very flaky code in selenium. Hence the retries
# and catch-all exceptions
try:
retry_call(driver.close, tries=2)
except Exception:
pass
try:
driver.quit()
except Exception:
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21,401 | apache/incubator-superset | superset/tasks/schedules.py | deliver_dashboard | def deliver_dashboard(schedule):
"""
Given a schedule, delivery the dashboard as an email report
"""
dashboard = schedule.dashboard
dashboard_url = _get_url_path(
'Superset.dashboard',
dashboard_id=dashboard.id,
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# Create a driver, fetch the page, wait for the page to rend... | python | def deliver_dashboard(schedule):
"""
Given a schedule, delivery the dashboard as an email report
"""
dashboard = schedule.dashboard
dashboard_url = _get_url_path(
'Superset.dashboard',
dashboard_id=dashboard.id,
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21,402 | apache/incubator-superset | superset/tasks/schedules.py | deliver_slice | def deliver_slice(schedule):
"""
Given a schedule, delivery the slice as an email report
"""
if schedule.email_format == SliceEmailReportFormat.data:
email = _get_slice_data(schedule)
elif schedule.email_format == SliceEmailReportFormat.visualization:
email = _get_slice_visualization... | python | def deliver_slice(schedule):
"""
Given a schedule, delivery the slice as an email report
"""
if schedule.email_format == SliceEmailReportFormat.data:
email = _get_slice_data(schedule)
elif schedule.email_format == SliceEmailReportFormat.visualization:
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21,403 | apache/incubator-superset | superset/tasks/schedules.py | schedule_hourly | def schedule_hourly():
""" Celery beat job meant to be invoked hourly """
if not config.get('ENABLE_SCHEDULED_EMAIL_REPORTS'):
logging.info('Scheduled email reports not enabled in config')
return
resolution = config.get('EMAIL_REPORTS_CRON_RESOLUTION', 0) * 60
# Get the top of the hou... | python | def schedule_hourly():
""" Celery beat job meant to be invoked hourly """
if not config.get('ENABLE_SCHEDULED_EMAIL_REPORTS'):
logging.info('Scheduled email reports not enabled in config')
return
resolution = config.get('EMAIL_REPORTS_CRON_RESOLUTION', 0) * 60
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21,404 | apache/incubator-superset | superset/dataframe.py | dedup | def dedup(l, suffix='__', case_sensitive=True):
"""De-duplicates a list of string by suffixing a counter
Always returns the same number of entries as provided, and always returns
unique values. Case sensitive comparison by default.
>>> print(','.join(dedup(['foo', 'bar', 'bar', 'bar', 'Bar'])))
fo... | python | def dedup(l, suffix='__', case_sensitive=True):
"""De-duplicates a list of string by suffixing a counter
Always returns the same number of entries as provided, and always returns
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>>> print(','.join(dedup(['foo', 'bar', 'bar', 'bar', 'Bar'])))
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21,405 | apache/incubator-superset | superset/dataframe.py | SupersetDataFrame.db_type | def db_type(cls, dtype):
"""Given a numpy dtype, Returns a generic database type"""
if isinstance(dtype, ExtensionDtype):
return cls.type_map.get(dtype.kind)
elif hasattr(dtype, 'char'):
return cls.type_map.get(dtype.char) | python | def db_type(cls, dtype):
"""Given a numpy dtype, Returns a generic database type"""
if isinstance(dtype, ExtensionDtype):
return cls.type_map.get(dtype.kind)
elif hasattr(dtype, 'char'):
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21,406 | apache/incubator-superset | superset/dataframe.py | SupersetDataFrame.columns | def columns(self):
"""Provides metadata about columns for data visualization.
:return: dict, with the fields name, type, is_date, is_dim and agg.
"""
if self.df.empty:
return None
columns = []
sample_size = min(INFER_COL_TYPES_SAMPLE_SIZE, len(self.df.index)... | python | def columns(self):
"""Provides metadata about columns for data visualization.
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"""
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return None
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21,407 | apache/incubator-superset | superset/connectors/sqla/models.py | TableColumn.get_timestamp_expression | def get_timestamp_expression(self, time_grain):
"""Getting the time component of the query"""
label = utils.DTTM_ALIAS
db = self.table.database
pdf = self.python_date_format
is_epoch = pdf in ('epoch_s', 'epoch_ms')
if not self.expression and not time_grain and not is_ep... | python | def get_timestamp_expression(self, time_grain):
"""Getting the time component of the query"""
label = utils.DTTM_ALIAS
db = self.table.database
pdf = self.python_date_format
is_epoch = pdf in ('epoch_s', 'epoch_ms')
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21,408 | apache/incubator-superset | superset/connectors/sqla/models.py | TableColumn.dttm_sql_literal | def dttm_sql_literal(self, dttm, is_epoch_in_utc):
"""Convert datetime object to a SQL expression string
If database_expression is empty, the internal dttm
will be parsed as the string with the pattern that
the user inputted (python_date_format)
If database_expression is not emp... | python | def dttm_sql_literal(self, dttm, is_epoch_in_utc):
"""Convert datetime object to a SQL expression string
If database_expression is empty, the internal dttm
will be parsed as the string with the pattern that
the user inputted (python_date_format)
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21,409 | apache/incubator-superset | superset/connectors/sqla/models.py | SqlaTable.values_for_column | def values_for_column(self, column_name, limit=10000):
"""Runs query against sqla to retrieve some
sample values for the given column.
"""
cols = {col.column_name: col for col in self.columns}
target_col = cols[column_name]
tp = self.get_template_processor()
qry ... | python | def values_for_column(self, column_name, limit=10000):
"""Runs query against sqla to retrieve some
sample values for the given column.
"""
cols = {col.column_name: col for col in self.columns}
target_col = cols[column_name]
tp = self.get_template_processor()
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21,410 | apache/incubator-superset | superset/connectors/sqla/models.py | SqlaTable.mutate_query_from_config | def mutate_query_from_config(self, sql):
"""Apply config's SQL_QUERY_MUTATOR
Typically adds comments to the query with context"""
SQL_QUERY_MUTATOR = config.get('SQL_QUERY_MUTATOR')
if SQL_QUERY_MUTATOR:
username = utils.get_username()
sql = SQL_QUERY_MUTATOR(sql... | python | def mutate_query_from_config(self, sql):
"""Apply config's SQL_QUERY_MUTATOR
Typically adds comments to the query with context"""
SQL_QUERY_MUTATOR = config.get('SQL_QUERY_MUTATOR')
if SQL_QUERY_MUTATOR:
username = utils.get_username()
sql = SQL_QUERY_MUTATOR(sql... | [
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21,411 | apache/incubator-superset | superset/connectors/sqla/models.py | SqlaTable.adhoc_metric_to_sqla | def adhoc_metric_to_sqla(self, metric, cols):
"""
Turn an adhoc metric into a sqlalchemy column.
:param dict metric: Adhoc metric definition
:param dict cols: Columns for the current table
:returns: The metric defined as a sqlalchemy column
:rtype: sqlalchemy.sql.column
... | python | def adhoc_metric_to_sqla(self, metric, cols):
"""
Turn an adhoc metric into a sqlalchemy column.
:param dict metric: Adhoc metric definition
:param dict cols: Columns for the current table
:returns: The metric defined as a sqlalchemy column
:rtype: sqlalchemy.sql.column
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21,412 | apache/incubator-superset | superset/connectors/sqla/models.py | SqlaTable.fetch_metadata | def fetch_metadata(self):
"""Fetches the metadata for the table and merges it in"""
try:
table = self.get_sqla_table_object()
except Exception as e:
logging.exception(e)
raise Exception(_(
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"""Fetches the metadata for the table and merges it in"""
try:
table = self.get_sqla_table_object()
except Exception as e:
logging.exception(e)
raise Exception(_(
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21,413 | apache/incubator-superset | superset/views/datasource.py | Datasource.external_metadata | def external_metadata(self, datasource_type=None, datasource_id=None):
"""Gets column info from the source system"""
if datasource_type == 'druid':
datasource = ConnectorRegistry.get_datasource(
datasource_type, datasource_id, db.session)
elif datasource_type == 'tabl... | python | def external_metadata(self, datasource_type=None, datasource_id=None):
"""Gets column info from the source system"""
if datasource_type == 'druid':
datasource = ConnectorRegistry.get_datasource(
datasource_type, datasource_id, db.session)
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21,414 | apache/incubator-superset | superset/forms.py | filter_not_empty_values | def filter_not_empty_values(value):
"""Returns a list of non empty values or None"""
if not value:
return None
data = [x for x in value if x]
if not data:
return None
return data | python | def filter_not_empty_values(value):
"""Returns a list of non empty values or None"""
if not value:
return None
data = [x for x in value if x]
if not data:
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21,415 | apache/incubator-superset | superset/forms.py | CsvToDatabaseForm.at_least_one_schema_is_allowed | def at_least_one_schema_is_allowed(database):
"""
If the user has access to the database or all datasource
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a) if database does not support schema
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... | python | def at_least_one_schema_is_allowed(database):
"""
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1. if schemas_allowed_for_csv_upload is empty
a) if database does not support schema
user is able to upload csv without specifying schema name
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21,416 | apache/incubator-superset | superset/views/sql_lab.py | QueryFilter.apply | def apply(
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"""
Filter queries to only those owned by current user if
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:returns: query
"""
if security_manager.can_only_access_owned_q... | python | def apply(
self,
query: BaseQuery,
func: Callable) -> BaseQuery:
"""
Filter queries to only those owned by current user if
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:returns: query
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21,417 | apache/incubator-superset | superset/connectors/sqla/views.py | TableModelView.edit | def edit(self, pk):
"""Simple hack to redirect to explore view after saving"""
resp = super(TableModelView, self).edit(pk)
if isinstance(resp, str):
return resp
return redirect('/superset/explore/table/{}/'.format(pk)) | python | def edit(self, pk):
"""Simple hack to redirect to explore view after saving"""
resp = super(TableModelView, self).edit(pk)
if isinstance(resp, str):
return resp
return redirect('/superset/explore/table/{}/'.format(pk)) | [
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21,418 | apache/incubator-superset | superset/tasks/cache.py | get_form_data | def get_form_data(chart_id, dashboard=None):
"""
Build `form_data` for chart GET request from dashboard's `default_filters`.
When a dashboard has `default_filters` they need to be added as extra
filters in the GET request for charts.
"""
form_data = {'slice_id': chart_id}
if dashboard is... | python | def get_form_data(chart_id, dashboard=None):
"""
Build `form_data` for chart GET request from dashboard's `default_filters`.
When a dashboard has `default_filters` they need to be added as extra
filters in the GET request for charts.
"""
form_data = {'slice_id': chart_id}
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21,419 | apache/incubator-superset | superset/tasks/cache.py | cache_warmup | def cache_warmup(strategy_name, *args, **kwargs):
"""
Warm up cache.
This task periodically hits charts to warm up the cache.
"""
logger.info('Loading strategy')
class_ = None
for class_ in strategies:
if class_.name == strategy_name:
break
else:
message = f... | python | def cache_warmup(strategy_name, *args, **kwargs):
"""
Warm up cache.
This task periodically hits charts to warm up the cache.
"""
logger.info('Loading strategy')
class_ = None
for class_ in strategies:
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21,420 | apache/incubator-superset | superset/connectors/druid/models.py | DruidCluster.refresh_datasources | def refresh_datasources(
self,
datasource_name=None,
merge_flag=True,
refreshAll=True):
"""Refresh metadata of all datasources in the cluster
If ``datasource_name`` is specified, only that datasource is updated
"""
ds_list = self.get_dataso... | python | def refresh_datasources(
self,
datasource_name=None,
merge_flag=True,
refreshAll=True):
"""Refresh metadata of all datasources in the cluster
If ``datasource_name`` is specified, only that datasource is updated
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21,421 | apache/incubator-superset | superset/connectors/druid/models.py | DruidCluster.refresh | def refresh(self, datasource_names, merge_flag, refreshAll):
"""
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merges to the Superset database
"""
session = db.session
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"""
Fetches metadata for the specified datasources and
merges to the Superset database
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21,422 | apache/incubator-superset | superset/connectors/druid/models.py | DruidColumn.refresh_metrics | def refresh_metrics(self):
"""Refresh metrics based on the column metadata"""
metrics = self.get_metrics()
dbmetrics = (
db.session.query(DruidMetric)
.filter(DruidMetric.datasource_id == self.datasource_id)
.filter(DruidMetric.metric_name.in_(metrics.keys()))... | python | def refresh_metrics(self):
"""Refresh metrics based on the column metadata"""
metrics = self.get_metrics()
dbmetrics = (
db.session.query(DruidMetric)
.filter(DruidMetric.datasource_id == self.datasource_id)
.filter(DruidMetric.metric_name.in_(metrics.keys()))... | [
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21,423 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource.sync_to_db_from_config | def sync_to_db_from_config(
cls,
druid_config,
user,
cluster,
refresh=True):
"""Merges the ds config from druid_config into one stored in the db."""
session = db.session
datasource = (
session.query(cls)
.filter_... | python | def sync_to_db_from_config(
cls,
druid_config,
user,
cluster,
refresh=True):
"""Merges the ds config from druid_config into one stored in the db."""
session = db.session
datasource = (
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21,424 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource.get_post_agg | def get_post_agg(mconf):
"""
For a metric specified as `postagg` returns the
kind of post aggregation for pydruid.
"""
if mconf.get('type') == 'javascript':
return JavascriptPostAggregator(
name=mconf.get('name', ''),
field_names=mconf.... | python | def get_post_agg(mconf):
"""
For a metric specified as `postagg` returns the
kind of post aggregation for pydruid.
"""
if mconf.get('type') == 'javascript':
return JavascriptPostAggregator(
name=mconf.get('name', ''),
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21,425 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource.find_postaggs_for | def find_postaggs_for(postagg_names, metrics_dict):
"""Return a list of metrics that are post aggregations"""
postagg_metrics = [
metrics_dict[name] for name in postagg_names
if metrics_dict[name].metric_type == POST_AGG_TYPE
]
# Remove post aggregations that were... | python | def find_postaggs_for(postagg_names, metrics_dict):
"""Return a list of metrics that are post aggregations"""
postagg_metrics = [
metrics_dict[name] for name in postagg_names
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21,426 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource.values_for_column | def values_for_column(self,
column_name,
limit=10000):
"""Retrieve some values for the given column"""
logging.info(
'Getting values for columns [{}] limited to [{}]'
.format(column_name, limit))
# TODO: Use Lexicographi... | python | def values_for_column(self,
column_name,
limit=10000):
"""Retrieve some values for the given column"""
logging.info(
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21,427 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource.get_aggregations | def get_aggregations(metrics_dict, saved_metrics, adhoc_metrics=[]):
"""
Returns a dictionary of aggregation metric names to aggregation json objects
:param metrics_dict: dictionary of all the metrics
:param saved_metrics: list of saved metric names
:param adhoc_... | python | def get_aggregations(metrics_dict, saved_metrics, adhoc_metrics=[]):
"""
Returns a dictionary of aggregation metric names to aggregation json objects
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21,428 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource._dimensions_to_values | def _dimensions_to_values(dimensions):
"""
Replace dimensions specs with their `dimension`
values, and ignore those without
"""
values = []
for dimension in dimensions:
if isinstance(dimension, dict):
if 'extractionFn' in dimension:
... | python | def _dimensions_to_values(dimensions):
"""
Replace dimensions specs with their `dimension`
values, and ignore those without
"""
values = []
for dimension in dimensions:
if isinstance(dimension, dict):
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21,429 | apache/incubator-superset | superset/connectors/druid/models.py | DruidDatasource.homogenize_types | def homogenize_types(df, groupby_cols):
"""Converting all GROUPBY columns to strings
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strings in the dataframe. This creates issues downstream related
to having mixed types in the dataframe
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"""Converting all GROUPBY columns to strings
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21,430 | apache/incubator-superset | contrib/docker/superset_config.py | get_env_variable | def get_env_variable(var_name, default=None):
"""Get the environment variable or raise exception."""
try:
return os.environ[var_name]
except KeyError:
if default is not None:
return default
else:
error_msg = 'The environment variable {} was missing, abort...'\... | python | def get_env_variable(var_name, default=None):
"""Get the environment variable or raise exception."""
try:
return os.environ[var_name]
except KeyError:
if default is not None:
return default
else:
error_msg = 'The environment variable {} was missing, abort...'\... | [
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21,431 | apache/incubator-superset | superset/connectors/connector_registry.py | ConnectorRegistry.get_eager_datasource | def get_eager_datasource(cls, session, datasource_type, datasource_id):
"""Returns datasource with columns and metrics."""
datasource_class = ConnectorRegistry.sources[datasource_type]
return (
session.query(datasource_class)
.options(
subqueryload(datasou... | python | def get_eager_datasource(cls, session, datasource_type, datasource_id):
"""Returns datasource with columns and metrics."""
datasource_class = ConnectorRegistry.sources[datasource_type]
return (
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21,432 | apache/incubator-superset | superset/data/misc_dashboard.py | load_misc_dashboard | def load_misc_dashboard():
"""Loading a dashboard featuring misc charts"""
print('Creating the dashboard')
db.session.expunge_all()
dash = db.session.query(Dash).filter_by(slug=DASH_SLUG).first()
if not dash:
dash = Dash()
js = textwrap.dedent("""\
{
"CHART-BkeVbh8ANQ": {
"... | python | def load_misc_dashboard():
"""Loading a dashboard featuring misc charts"""
print('Creating the dashboard')
db.session.expunge_all()
dash = db.session.query(Dash).filter_by(slug=DASH_SLUG).first()
if not dash:
dash = Dash()
js = textwrap.dedent("""\
{
"CHART-BkeVbh8ANQ": {
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21,433 | apache/incubator-superset | superset/data/country_map.py | load_country_map_data | def load_country_map_data():
"""Loading data for map with country map"""
csv_bytes = get_example_data(
'birth_france_data_for_country_map.csv', is_gzip=False, make_bytes=True)
data = pd.read_csv(csv_bytes, encoding='utf-8')
data['dttm'] = datetime.datetime.now().date()
data.to_sql( # pylint... | python | def load_country_map_data():
"""Loading data for map with country map"""
csv_bytes = get_example_data(
'birth_france_data_for_country_map.csv', is_gzip=False, make_bytes=True)
data = pd.read_csv(csv_bytes, encoding='utf-8')
data['dttm'] = datetime.datetime.now().date()
data.to_sql( # pylint... | [
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21,434 | apache/incubator-superset | superset/sql_parse.py | ParsedQuery.get_statements | def get_statements(self):
"""Returns a list of SQL statements as strings, stripped"""
statements = []
for statement in self._parsed:
if statement:
sql = str(statement).strip(' \n;\t')
if sql:
statements.append(sql)
return st... | python | def get_statements(self):
"""Returns a list of SQL statements as strings, stripped"""
statements = []
for statement in self._parsed:
if statement:
sql = str(statement).strip(' \n;\t')
if sql:
statements.append(sql)
return st... | [
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21,435 | apache/incubator-superset | superset/sql_parse.py | ParsedQuery.as_create_table | def as_create_table(self, table_name, overwrite=False):
"""Reformats the query into the create table as query.
Works only for the single select SQL statements, in all other cases
the sql query is not modified.
:param superset_query: string, sql query that will be executed
:param... | python | def as_create_table(self, table_name, overwrite=False):
"""Reformats the query into the create table as query.
Works only for the single select SQL statements, in all other cases
the sql query is not modified.
:param superset_query: string, sql query that will be executed
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21,436 | apache/incubator-superset | superset/sql_parse.py | ParsedQuery.get_query_with_new_limit | def get_query_with_new_limit(self, new_limit):
"""returns the query with the specified limit"""
"""does not change the underlying query"""
if not self._limit:
return self.sql + ' LIMIT ' + str(new_limit)
limit_pos = None
tokens = self._parsed[0].tokens
# Add a... | python | def get_query_with_new_limit(self, new_limit):
"""returns the query with the specified limit"""
"""does not change the underlying query"""
if not self._limit:
return self.sql + ' LIMIT ' + str(new_limit)
limit_pos = None
tokens = self._parsed[0].tokens
# Add a... | [
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21,437 | apache/incubator-superset | superset/jinja_context.py | url_param | def url_param(param, default=None):
"""Read a url or post parameter and use it in your SQL Lab query
When in SQL Lab, it's possible to add arbitrary URL "query string"
parameters, and use those in your SQL code. For instance you can
alter your url and add `?foo=bar`, as in
`{domain}/superset/sqllab... | python | def url_param(param, default=None):
"""Read a url or post parameter and use it in your SQL Lab query
When in SQL Lab, it's possible to add arbitrary URL "query string"
parameters, and use those in your SQL code. For instance you can
alter your url and add `?foo=bar`, as in
`{domain}/superset/sqllab... | [
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21,438 | apache/incubator-superset | superset/jinja_context.py | filter_values | def filter_values(column, default=None):
""" Gets a values for a particular filter as a list
This is useful if:
- you want to use a filter box to filter a query where the name of filter box
column doesn't match the one in the select statement
- you want to have the ability for filter ... | python | def filter_values(column, default=None):
""" Gets a values for a particular filter as a list
This is useful if:
- you want to use a filter box to filter a query where the name of filter box
column doesn't match the one in the select statement
- you want to have the ability for filter ... | [
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21,439 | apache/incubator-superset | superset/jinja_context.py | BaseTemplateProcessor.process_template | def process_template(self, sql, **kwargs):
"""Processes a sql template
>>> sql = "SELECT '{{ datetime(2017, 1, 1).isoformat() }}'"
>>> process_template(sql)
"SELECT '2017-01-01T00:00:00'"
"""
template = self.env.from_string(sql)
kwargs.update(self.context)
... | python | def process_template(self, sql, **kwargs):
"""Processes a sql template
>>> sql = "SELECT '{{ datetime(2017, 1, 1).isoformat() }}'"
>>> process_template(sql)
"SELECT '2017-01-01T00:00:00'"
"""
template = self.env.from_string(sql)
kwargs.update(self.context)
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21,440 | apache/incubator-superset | superset/views/utils.py | get_datasource_info | def get_datasource_info(datasource_id, datasource_type, form_data):
"""Compatibility layer for handling of datasource info
datasource_id & datasource_type used to be passed in the URL
directory, now they should come as part of the form_data,
This function allows supporting both without duplicating code... | python | def get_datasource_info(datasource_id, datasource_type, form_data):
"""Compatibility layer for handling of datasource info
datasource_id & datasource_type used to be passed in the URL
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21,441 | apache/incubator-superset | superset/security.py | SupersetSecurityManager.create_missing_perms | def create_missing_perms(self):
"""Creates missing perms for datasources, schemas and metrics"""
from superset import db
from superset.models import core as models
logging.info(
'Fetching a set of all perms to lookup which ones are missing')
all_pvs = set()
f... | python | def create_missing_perms(self):
"""Creates missing perms for datasources, schemas and metrics"""
from superset import db
from superset.models import core as models
logging.info(
'Fetching a set of all perms to lookup which ones are missing')
all_pvs = set()
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21,442 | apache/incubator-superset | superset/security.py | SupersetSecurityManager.clean_perms | def clean_perms(self):
"""FAB leaves faulty permissions that need to be cleaned up"""
logging.info('Cleaning faulty perms')
sesh = self.get_session
pvms = (
sesh.query(ab_models.PermissionView)
.filter(or_(
ab_models.PermissionView.permission == No... | python | def clean_perms(self):
"""FAB leaves faulty permissions that need to be cleaned up"""
logging.info('Cleaning faulty perms')
sesh = self.get_session
pvms = (
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21,443 | apache/incubator-superset | superset/security.py | SupersetSecurityManager.sync_role_definitions | def sync_role_definitions(self):
"""Inits the Superset application with security roles and such"""
from superset import conf
logging.info('Syncing role definition')
self.create_custom_permissions()
# Creating default roles
self.set_role('Admin', self.is_admin_pvm)
... | python | def sync_role_definitions(self):
"""Inits the Superset application with security roles and such"""
from superset import conf
logging.info('Syncing role definition')
self.create_custom_permissions()
# Creating default roles
self.set_role('Admin', self.is_admin_pvm)
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21,444 | apache/incubator-superset | superset/utils/dict_import_export.py | export_to_dict | def export_to_dict(session,
recursive,
back_references,
include_defaults):
"""Exports databases and druid clusters to a dictionary"""
logging.info('Starting export')
dbs = session.query(Database)
databases = [database.export_to_dict(recursive=recu... | python | def export_to_dict(session,
recursive,
back_references,
include_defaults):
"""Exports databases and druid clusters to a dictionary"""
logging.info('Starting export')
dbs = session.query(Database)
databases = [database.export_to_dict(recursive=recu... | [
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21,445 | apache/incubator-superset | superset/utils/dict_import_export.py | import_from_dict | def import_from_dict(session, data, sync=[]):
"""Imports databases and druid clusters from dictionary"""
if isinstance(data, dict):
logging.info('Importing %d %s',
len(data.get(DATABASES_KEY, [])),
DATABASES_KEY)
for database in data.get(DATABASES_KEY, [... | python | def import_from_dict(session, data, sync=[]):
"""Imports databases and druid clusters from dictionary"""
if isinstance(data, dict):
logging.info('Importing %d %s',
len(data.get(DATABASES_KEY, [])),
DATABASES_KEY)
for database in data.get(DATABASES_KEY, [... | [
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21,446 | apache/incubator-superset | superset/data/css_templates.py | load_css_templates | def load_css_templates():
"""Loads 2 css templates to demonstrate the feature"""
print('Creating default CSS templates')
obj = db.session.query(CssTemplate).filter_by(template_name='Flat').first()
if not obj:
obj = CssTemplate(template_name='Flat')
css = textwrap.dedent("""\
.gridster d... | python | def load_css_templates():
"""Loads 2 css templates to demonstrate the feature"""
print('Creating default CSS templates')
obj = db.session.query(CssTemplate).filter_by(template_name='Flat').first()
if not obj:
obj = CssTemplate(template_name='Flat')
css = textwrap.dedent("""\
.gridster d... | [
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21,447 | apache/incubator-superset | superset/models/helpers.py | ImportMixin._parent_foreign_key_mappings | def _parent_foreign_key_mappings(cls):
"""Get a mapping of foreign name to the local name of foreign keys"""
parent_rel = cls.__mapper__.relationships.get(cls.export_parent)
if parent_rel:
return {l.name: r.name for (l, r) in parent_rel.local_remote_pairs}
return {} | python | def _parent_foreign_key_mappings(cls):
"""Get a mapping of foreign name to the local name of foreign keys"""
parent_rel = cls.__mapper__.relationships.get(cls.export_parent)
if parent_rel:
return {l.name: r.name for (l, r) in parent_rel.local_remote_pairs}
return {} | [
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21,448 | apache/incubator-superset | superset/models/helpers.py | ImportMixin.export_schema | def export_schema(cls, recursive=True, include_parent_ref=False):
"""Export schema as a dictionary"""
parent_excludes = {}
if not include_parent_ref:
parent_ref = cls.__mapper__.relationships.get(cls.export_parent)
if parent_ref:
parent_excludes = {c.name ... | python | def export_schema(cls, recursive=True, include_parent_ref=False):
"""Export schema as a dictionary"""
parent_excludes = {}
if not include_parent_ref:
parent_ref = cls.__mapper__.relationships.get(cls.export_parent)
if parent_ref:
parent_excludes = {c.name ... | [
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21,449 | apache/incubator-superset | superset/models/helpers.py | ImportMixin.export_to_dict | def export_to_dict(self, recursive=True, include_parent_ref=False,
include_defaults=False):
"""Export obj to dictionary"""
cls = self.__class__
parent_excludes = {}
if recursive and not include_parent_ref:
parent_ref = cls.__mapper__.relationships.get(c... | python | def export_to_dict(self, recursive=True, include_parent_ref=False,
include_defaults=False):
"""Export obj to dictionary"""
cls = self.__class__
parent_excludes = {}
if recursive and not include_parent_ref:
parent_ref = cls.__mapper__.relationships.get(c... | [
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21,450 | apache/incubator-superset | superset/models/helpers.py | ImportMixin.override | def override(self, obj):
"""Overrides the plain fields of the dashboard."""
for field in obj.__class__.export_fields:
setattr(self, field, getattr(obj, field)) | python | def override(self, obj):
"""Overrides the plain fields of the dashboard."""
for field in obj.__class__.export_fields:
setattr(self, field, getattr(obj, field)) | [
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21,451 | apache/incubator-superset | superset/legacy.py | update_time_range | def update_time_range(form_data):
"""Move since and until to time_range."""
if 'since' in form_data or 'until' in form_data:
form_data['time_range'] = '{} : {}'.format(
form_data.pop('since', '') or '',
form_data.pop('until', '') or '',
) | python | def update_time_range(form_data):
"""Move since and until to time_range."""
if 'since' in form_data or 'until' in form_data:
form_data['time_range'] = '{} : {}'.format(
form_data.pop('since', '') or '',
form_data.pop('until', '') or '',
) | [
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21,452 | apache/incubator-superset | superset/utils/cache.py | memoized_func | def memoized_func(key=view_cache_key, attribute_in_key=None):
"""Use this decorator to cache functions that have predefined first arg.
enable_cache is treated as True by default,
except enable_cache = False is passed to the decorated function.
force means whether to force refresh the cache and is trea... | python | def memoized_func(key=view_cache_key, attribute_in_key=None):
"""Use this decorator to cache functions that have predefined first arg.
enable_cache is treated as True by default,
except enable_cache = False is passed to the decorated function.
force means whether to force refresh the cache and is trea... | [
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force means whether to force refresh the cache and is treated as False by default,
except force = True is passed to the dec... | [
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21,453 | apache/incubator-superset | superset/views/core.py | check_datasource_perms | def check_datasource_perms(self, datasource_type=None, datasource_id=None):
"""
Check if user can access a cached response from explore_json.
This function takes `self` since it must have the same signature as the
the decorated method.
"""
form_data = get_form_data()[0]
datasource_id, data... | python | def check_datasource_perms(self, datasource_type=None, datasource_id=None):
"""
Check if user can access a cached response from explore_json.
This function takes `self` since it must have the same signature as the
the decorated method.
"""
form_data = get_form_data()[0]
datasource_id, data... | [
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21,454 | apache/incubator-superset | superset/views/core.py | check_slice_perms | def check_slice_perms(self, slice_id):
"""
Check if user can access a cached response from slice_json.
This function takes `self` since it must have the same signature as the
the decorated method.
"""
form_data, slc = get_form_data(slice_id, use_slice_data=True)
datasource_type = slc.datas... | python | def check_slice_perms(self, slice_id):
"""
Check if user can access a cached response from slice_json.
This function takes `self` since it must have the same signature as the
the decorated method.
"""
form_data, slc = get_form_data(slice_id, use_slice_data=True)
datasource_type = slc.datas... | [
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21,455 | apache/incubator-superset | superset/views/core.py | apply_caching | def apply_caching(response):
"""Applies the configuration's http headers to all responses"""
for k, v in config.get('HTTP_HEADERS').items():
response.headers[k] = v
return response | python | def apply_caching(response):
"""Applies the configuration's http headers to all responses"""
for k, v in config.get('HTTP_HEADERS').items():
response.headers[k] = v
return response | [
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21,456 | apache/incubator-superset | superset/views/core.py | Superset.override_role_permissions | def override_role_permissions(self):
"""Updates the role with the give datasource permissions.
Permissions not in the request will be revoked. This endpoint should
be available to admins only. Expects JSON in the format:
{
'role_name': '{role_name}',
'data... | python | def override_role_permissions(self):
"""Updates the role with the give datasource permissions.
Permissions not in the request will be revoked. This endpoint should
be available to admins only. Expects JSON in the format:
{
'role_name': '{role_name}',
'data... | [
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{
'role_name': '{role_name}',
'database': [{
'datasource_type': '{t... | [
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21,457 | apache/incubator-superset | superset/views/core.py | Superset.explore_json | def explore_json(self, datasource_type=None, datasource_id=None):
"""Serves all request that GET or POST form_data
This endpoint evolved to be the entry point of many different
requests that GETs or POSTs a form_data.
`self.generate_json` receives this input and returns different
... | python | def explore_json(self, datasource_type=None, datasource_id=None):
"""Serves all request that GET or POST form_data
This endpoint evolved to be the entry point of many different
requests that GETs or POSTs a form_data.
`self.generate_json` receives this input and returns different
... | [
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This endpoint evolved to be the entry point of many different
requests that GETs or POSTs a form_data.
`self.generate_json` receives this input and returns different
payloads based on the request args in the first block
TODO: break... | [
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21,458 | apache/incubator-superset | superset/views/core.py | Superset.import_dashboards | def import_dashboards(self):
"""Overrides the dashboards using json instances from the file."""
f = request.files.get('file')
if request.method == 'POST' and f:
dashboard_import_export.import_dashboards(db.session, f.stream)
return redirect('/dashboard/list/')
ret... | python | def import_dashboards(self):
"""Overrides the dashboards using json instances from the file."""
f = request.files.get('file')
if request.method == 'POST' and f:
dashboard_import_export.import_dashboards(db.session, f.stream)
return redirect('/dashboard/list/')
ret... | [
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21,459 | apache/incubator-superset | superset/views/core.py | Superset.explorev2 | def explorev2(self, datasource_type, datasource_id):
"""Deprecated endpoint, here for backward compatibility of urls"""
return redirect(url_for(
'Superset.explore',
datasource_type=datasource_type,
datasource_id=datasource_id,
**request.args)) | python | def explorev2(self, datasource_type, datasource_id):
"""Deprecated endpoint, here for backward compatibility of urls"""
return redirect(url_for(
'Superset.explore',
datasource_type=datasource_type,
datasource_id=datasource_id,
**request.args)) | [
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21,460 | apache/incubator-superset | superset/views/core.py | Superset.filter | def filter(self, datasource_type, datasource_id, column):
"""
Endpoint to retrieve values for specified column.
:param datasource_type: Type of datasource e.g. table
:param datasource_id: Datasource id
:param column: Column name to retrieve values for
:return:
""... | python | def filter(self, datasource_type, datasource_id, column):
"""
Endpoint to retrieve values for specified column.
:param datasource_type: Type of datasource e.g. table
:param datasource_id: Datasource id
:param column: Column name to retrieve values for
:return:
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21,461 | apache/incubator-superset | superset/views/core.py | Superset.save_or_overwrite_slice | def save_or_overwrite_slice(
self, args, slc, slice_add_perm, slice_overwrite_perm, slice_download_perm,
datasource_id, datasource_type, datasource_name):
"""Save or overwrite a slice"""
slice_name = args.get('slice_name')
action = args.get('action')
form_data = g... | python | def save_or_overwrite_slice(
self, args, slc, slice_add_perm, slice_overwrite_perm, slice_download_perm,
datasource_id, datasource_type, datasource_name):
"""Save or overwrite a slice"""
slice_name = args.get('slice_name')
action = args.get('action')
form_data = g... | [
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21,462 | apache/incubator-superset | superset/views/core.py | Superset.tables | def tables(self, db_id, schema, substr, force_refresh='false'):
"""Endpoint to fetch the list of tables for given database"""
db_id = int(db_id)
force_refresh = force_refresh.lower() == 'true'
schema = utils.js_string_to_python(schema)
substr = utils.js_string_to_python(substr)
... | python | def tables(self, db_id, schema, substr, force_refresh='false'):
"""Endpoint to fetch the list of tables for given database"""
db_id = int(db_id)
force_refresh = force_refresh.lower() == 'true'
schema = utils.js_string_to_python(schema)
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21,463 | apache/incubator-superset | superset/views/core.py | Superset.save_dash | def save_dash(self, dashboard_id):
"""Save a dashboard's metadata"""
session = db.session()
dash = (session
.query(models.Dashboard)
.filter_by(id=dashboard_id).first())
check_ownership(dash, raise_if_false=True)
data = json.loads(request.form.get(... | python | def save_dash(self, dashboard_id):
"""Save a dashboard's metadata"""
session = db.session()
dash = (session
.query(models.Dashboard)
.filter_by(id=dashboard_id).first())
check_ownership(dash, raise_if_false=True)
data = json.loads(request.form.get(... | [
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21,464 | apache/incubator-superset | superset/views/core.py | Superset.add_slices | def add_slices(self, dashboard_id):
"""Add and save slices to a dashboard"""
data = json.loads(request.form.get('data'))
session = db.session()
Slice = models.Slice # noqa
dash = (
session.query(models.Dashboard).filter_by(id=dashboard_id).first())
check_owne... | python | def add_slices(self, dashboard_id):
"""Add and save slices to a dashboard"""
data = json.loads(request.form.get('data'))
session = db.session()
Slice = models.Slice # noqa
dash = (
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21,465 | apache/incubator-superset | superset/views/core.py | Superset.fave_dashboards_by_username | def fave_dashboards_by_username(self, username):
"""This lets us use a user's username to pull favourite dashboards"""
user = security_manager.find_user(username=username)
return self.fave_dashboards(user.get_id()) | python | def fave_dashboards_by_username(self, username):
"""This lets us use a user's username to pull favourite dashboards"""
user = security_manager.find_user(username=username)
return self.fave_dashboards(user.get_id()) | [
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21,466 | apache/incubator-superset | superset/views/core.py | Superset.user_slices | def user_slices(self, user_id=None):
"""List of slices a user created, or faved"""
if not user_id:
user_id = g.user.id
Slice = models.Slice # noqa
FavStar = models.FavStar # noqa
qry = (
db.session.query(Slice,
FavStar.dttm).j... | python | def user_slices(self, user_id=None):
"""List of slices a user created, or faved"""
if not user_id:
user_id = g.user.id
Slice = models.Slice # noqa
FavStar = models.FavStar # noqa
qry = (
db.session.query(Slice,
FavStar.dttm).j... | [
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21,467 | apache/incubator-superset | superset/views/core.py | Superset.created_slices | def created_slices(self, user_id=None):
"""List of slices created by this user"""
if not user_id:
user_id = g.user.id
Slice = models.Slice # noqa
qry = (
db.session.query(Slice)
.filter(
sqla.or_(
Slice.created_by_f... | python | def created_slices(self, user_id=None):
"""List of slices created by this user"""
if not user_id:
user_id = g.user.id
Slice = models.Slice # noqa
qry = (
db.session.query(Slice)
.filter(
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21,468 | apache/incubator-superset | superset/views/core.py | Superset.fave_slices | def fave_slices(self, user_id=None):
"""Favorite slices for a user"""
if not user_id:
user_id = g.user.id
qry = (
db.session.query(
models.Slice,
models.FavStar.dttm,
)
.join(
models.FavStar,
... | python | def fave_slices(self, user_id=None):
"""Favorite slices for a user"""
if not user_id:
user_id = g.user.id
qry = (
db.session.query(
models.Slice,
models.FavStar.dttm,
)
.join(
models.FavStar,
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21,469 | apache/incubator-superset | superset/views/core.py | Superset.warm_up_cache | def warm_up_cache(self):
"""Warms up the cache for the slice or table.
Note for slices a force refresh occurs.
"""
slices = None
session = db.session()
slice_id = request.args.get('slice_id')
table_name = request.args.get('table_name')
db_name = request.a... | python | def warm_up_cache(self):
"""Warms up the cache for the slice or table.
Note for slices a force refresh occurs.
"""
slices = None
session = db.session()
slice_id = request.args.get('slice_id')
table_name = request.args.get('table_name')
db_name = request.a... | [
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21,470 | apache/incubator-superset | superset/views/core.py | Superset.favstar | def favstar(self, class_name, obj_id, action):
"""Toggle favorite stars on Slices and Dashboard"""
session = db.session()
FavStar = models.FavStar # noqa
count = 0
favs = session.query(FavStar).filter_by(
class_name=class_name, obj_id=obj_id,
user_id=g.us... | python | def favstar(self, class_name, obj_id, action):
"""Toggle favorite stars on Slices and Dashboard"""
session = db.session()
FavStar = models.FavStar # noqa
count = 0
favs = session.query(FavStar).filter_by(
class_name=class_name, obj_id=obj_id,
user_id=g.us... | [
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21,471 | apache/incubator-superset | superset/views/core.py | Superset.dashboard | def dashboard(self, dashboard_id):
"""Server side rendering for a dashboard"""
session = db.session()
qry = session.query(models.Dashboard)
if dashboard_id.isdigit():
qry = qry.filter_by(id=int(dashboard_id))
else:
qry = qry.filter_by(slug=dashboard_id)
... | python | def dashboard(self, dashboard_id):
"""Server side rendering for a dashboard"""
session = db.session()
qry = session.query(models.Dashboard)
if dashboard_id.isdigit():
qry = qry.filter_by(id=int(dashboard_id))
else:
qry = qry.filter_by(slug=dashboard_id)
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21,472 | apache/incubator-superset | superset/views/core.py | Superset.sync_druid_source | def sync_druid_source(self):
"""Syncs the druid datasource in main db with the provided config.
The endpoint takes 3 arguments:
user - user name to perform the operation as
cluster - name of the druid cluster
config - configuration stored in json that contains:
... | python | def sync_druid_source(self):
"""Syncs the druid datasource in main db with the provided config.
The endpoint takes 3 arguments:
user - user name to perform the operation as
cluster - name of the druid cluster
config - configuration stored in json that contains:
... | [
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21,473 | apache/incubator-superset | superset/views/core.py | Superset.cache_key_exist | def cache_key_exist(self, key):
"""Returns if a key from cache exist"""
key_exist = True if cache.get(key) else False
status = 200 if key_exist else 404
return json_success(json.dumps({'key_exist': key_exist}),
status=status) | python | def cache_key_exist(self, key):
"""Returns if a key from cache exist"""
key_exist = True if cache.get(key) else False
status = 200 if key_exist else 404
return json_success(json.dumps({'key_exist': key_exist}),
status=status) | [
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21,474 | apache/incubator-superset | superset/views/core.py | Superset.results | def results(self, key):
"""Serves a key off of the results backend"""
if not results_backend:
return json_error_response("Results backend isn't configured")
read_from_results_backend_start = now_as_float()
blob = results_backend.get(key)
stats_logger.timing(
... | python | def results(self, key):
"""Serves a key off of the results backend"""
if not results_backend:
return json_error_response("Results backend isn't configured")
read_from_results_backend_start = now_as_float()
blob = results_backend.get(key)
stats_logger.timing(
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21,475 | apache/incubator-superset | superset/views/core.py | Superset.csv | def csv(self, client_id):
"""Download the query results as csv."""
logging.info('Exporting CSV file [{}]'.format(client_id))
query = (
db.session.query(Query)
.filter_by(client_id=client_id)
.one()
)
rejected_tables = security_manager.rejected... | python | def csv(self, client_id):
"""Download the query results as csv."""
logging.info('Exporting CSV file [{}]'.format(client_id))
query = (
db.session.query(Query)
.filter_by(client_id=client_id)
.one()
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rejected_tables = security_manager.rejected... | [
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21,476 | apache/incubator-superset | superset/views/core.py | Superset.queries | def queries(self, last_updated_ms):
"""Get the updated queries."""
stats_logger.incr('queries')
if not g.user.get_id():
return json_error_response(
'Please login to access the queries.', status=403)
# Unix time, milliseconds.
last_updated_ms_int = int... | python | def queries(self, last_updated_ms):
"""Get the updated queries."""
stats_logger.incr('queries')
if not g.user.get_id():
return json_error_response(
'Please login to access the queries.', status=403)
# Unix time, milliseconds.
last_updated_ms_int = int... | [
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21,477 | apache/incubator-superset | superset/views/core.py | Superset.welcome | def welcome(self):
"""Personalized welcome page"""
if not g.user or not g.user.get_id():
return redirect(appbuilder.get_url_for_login)
welcome_dashboard_id = (
db.session
.query(UserAttribute.welcome_dashboard_id)
.filter_by(user_id=g.user.get_id(... | python | def welcome(self):
"""Personalized welcome page"""
if not g.user or not g.user.get_id():
return redirect(appbuilder.get_url_for_login)
welcome_dashboard_id = (
db.session
.query(UserAttribute.welcome_dashboard_id)
.filter_by(user_id=g.user.get_id(... | [
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21,478 | apache/incubator-superset | superset/views/core.py | Superset.profile | def profile(self, username):
"""User profile page"""
if not username and g.user:
username = g.user.username
payload = {
'user': bootstrap_user_data(username, include_perms=True),
'common': self.common_bootsrap_payload(),
}
return self.render_... | python | def profile(self, username):
"""User profile page"""
if not username and g.user:
username = g.user.username
payload = {
'user': bootstrap_user_data(username, include_perms=True),
'common': self.common_bootsrap_payload(),
}
return self.render_... | [
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21,479 | apache/incubator-superset | superset/views/core.py | Superset.slice_query | def slice_query(self, slice_id):
"""
This method exposes an API endpoint to
get the database query string for this slice
"""
viz_obj = get_viz(slice_id)
security_manager.assert_datasource_permission(viz_obj.datasource)
return self.get_query_string_response(viz_obj... | python | def slice_query(self, slice_id):
"""
This method exposes an API endpoint to
get the database query string for this slice
"""
viz_obj = get_viz(slice_id)
security_manager.assert_datasource_permission(viz_obj.datasource)
return self.get_query_string_response(viz_obj... | [
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21,480 | apache/incubator-superset | superset/views/core.py | Superset.schemas_access_for_csv_upload | def schemas_access_for_csv_upload(self):
"""
This method exposes an API endpoint to
get the schema access control settings for csv upload in this database
"""
if not request.args.get('db_id'):
return json_error_response(
'No database is allowed for you... | python | def schemas_access_for_csv_upload(self):
"""
This method exposes an API endpoint to
get the schema access control settings for csv upload in this database
"""
if not request.args.get('db_id'):
return json_error_response(
'No database is allowed for you... | [
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21,481 | apache/incubator-superset | superset/utils/decorators.py | etag_cache | def etag_cache(max_age, check_perms=bool):
"""
A decorator for caching views and handling etag conditional requests.
The decorator adds headers to GET requests that help with caching: Last-
Modified, Expires and ETag. It also handles conditional requests, when the
client send an If-Matches header.
... | python | def etag_cache(max_age, check_perms=bool):
"""
A decorator for caching views and handling etag conditional requests.
The decorator adds headers to GET requests that help with caching: Last-
Modified, Expires and ETag. It also handles conditional requests, when the
client send an If-Matches header.
... | [
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21,482 | apache/incubator-superset | superset/db_engine_specs.py | BaseEngineSpec.apply_limit_to_sql | def apply_limit_to_sql(cls, sql, limit, database):
"""Alters the SQL statement to apply a LIMIT clause"""
if cls.limit_method == LimitMethod.WRAP_SQL:
sql = sql.strip('\t\n ;')
qry = (
select('*')
.select_from(
TextAsFrom(text(s... | python | def apply_limit_to_sql(cls, sql, limit, database):
"""Alters the SQL statement to apply a LIMIT clause"""
if cls.limit_method == LimitMethod.WRAP_SQL:
sql = sql.strip('\t\n ;')
qry = (
select('*')
.select_from(
TextAsFrom(text(s... | [
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21,483 | apache/incubator-superset | superset/db_engine_specs.py | BaseEngineSpec.truncate_label | def truncate_label(cls, label):
"""
In the case that a label exceeds the max length supported by the engine,
this method is used to construct a deterministic and unique label based on
an md5 hash.
"""
label = hashlib.md5(label.encode('utf-8')).hexdigest()
# trunca... | python | def truncate_label(cls, label):
"""
In the case that a label exceeds the max length supported by the engine,
this method is used to construct a deterministic and unique label based on
an md5 hash.
"""
label = hashlib.md5(label.encode('utf-8')).hexdigest()
# trunca... | [
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21,484 | apache/incubator-superset | superset/db_engine_specs.py | PostgresEngineSpec.get_table_names | def get_table_names(cls, inspector, schema):
"""Need to consider foreign tables for PostgreSQL"""
tables = inspector.get_table_names(schema)
tables.extend(inspector.get_foreign_table_names(schema))
return sorted(tables) | python | def get_table_names(cls, inspector, schema):
"""Need to consider foreign tables for PostgreSQL"""
tables = inspector.get_table_names(schema)
tables.extend(inspector.get_foreign_table_names(schema))
return sorted(tables) | [
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21,485 | apache/incubator-superset | superset/db_engine_specs.py | PostgresEngineSpec.get_timestamp_column | def get_timestamp_column(expression, column_name):
"""Postgres is unable to identify mixed case column names unless they
are quoted."""
if expression:
return expression
elif column_name.lower() != column_name:
return f'"{column_name}"'
return column_name | python | def get_timestamp_column(expression, column_name):
"""Postgres is unable to identify mixed case column names unless they
are quoted."""
if expression:
return expression
elif column_name.lower() != column_name:
return f'"{column_name}"'
return column_name | [
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21,486 | apache/incubator-superset | superset/db_engine_specs.py | MySQLEngineSpec.extract_error_message | def extract_error_message(cls, e):
"""Extract error message for queries"""
message = str(e)
try:
if isinstance(e.args, tuple) and len(e.args) > 1:
message = e.args[1]
except Exception:
pass
return message | python | def extract_error_message(cls, e):
"""Extract error message for queries"""
message = str(e)
try:
if isinstance(e.args, tuple) and len(e.args) > 1:
message = e.args[1]
except Exception:
pass
return message | [
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21,487 | apache/incubator-superset | superset/db_engine_specs.py | PrestoEngineSpec._partition_query | def _partition_query(
cls, table_name, limit=0, order_by=None, filters=None):
"""Returns a partition query
:param table_name: the name of the table to get partitions from
:type table_name: str
:param limit: the number of partitions to be returned
:type limit: int
... | python | def _partition_query(
cls, table_name, limit=0, order_by=None, filters=None):
"""Returns a partition query
:param table_name: the name of the table to get partitions from
:type table_name: str
:param limit: the number of partitions to be returned
:type limit: int
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21,488 | apache/incubator-superset | superset/db_engine_specs.py | HiveEngineSpec.create_table_from_csv | def create_table_from_csv(form, table):
"""Uploads a csv file and creates a superset datasource in Hive."""
def convert_to_hive_type(col_type):
"""maps tableschema's types to hive types"""
tableschema_to_hive_types = {
'boolean': 'BOOLEAN',
'intege... | python | def create_table_from_csv(form, table):
"""Uploads a csv file and creates a superset datasource in Hive."""
def convert_to_hive_type(col_type):
"""maps tableschema's types to hive types"""
tableschema_to_hive_types = {
'boolean': 'BOOLEAN',
'intege... | [
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21,489 | apache/incubator-superset | superset/data/multiformat_time_series.py | load_multiformat_time_series | def load_multiformat_time_series():
"""Loading time series data from a zip file in the repo"""
data = get_example_data('multiformat_time_series.json.gz')
pdf = pd.read_json(data)
pdf.ds = pd.to_datetime(pdf.ds, unit='s')
pdf.ds2 = pd.to_datetime(pdf.ds2, unit='s')
pdf.to_sql(
'multiform... | python | def load_multiformat_time_series():
"""Loading time series data from a zip file in the repo"""
data = get_example_data('multiformat_time_series.json.gz')
pdf = pd.read_json(data)
pdf.ds = pd.to_datetime(pdf.ds, unit='s')
pdf.ds2 = pd.to_datetime(pdf.ds2, unit='s')
pdf.to_sql(
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21,490 | apache/incubator-superset | superset/utils/dashboard_import_export.py | import_dashboards | def import_dashboards(session, data_stream, import_time=None):
"""Imports dashboards from a stream to databases"""
current_tt = int(time.time())
import_time = current_tt if import_time is None else import_time
data = json.loads(data_stream.read(), object_hook=decode_dashboards)
# TODO: import DRUID ... | python | def import_dashboards(session, data_stream, import_time=None):
"""Imports dashboards from a stream to databases"""
current_tt = int(time.time())
import_time = current_tt if import_time is None else import_time
data = json.loads(data_stream.read(), object_hook=decode_dashboards)
# TODO: import DRUID ... | [
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21,491 | apache/incubator-superset | superset/utils/dashboard_import_export.py | export_dashboards | def export_dashboards(session):
"""Returns all dashboards metadata as a json dump"""
logging.info('Starting export')
dashboards = session.query(Dashboard)
dashboard_ids = []
for dashboard in dashboards:
dashboard_ids.append(dashboard.id)
data = Dashboard.export_dashboards(dashboard_ids)
... | python | def export_dashboards(session):
"""Returns all dashboards metadata as a json dump"""
logging.info('Starting export')
dashboards = session.query(Dashboard)
dashboard_ids = []
for dashboard in dashboards:
dashboard_ids.append(dashboard.id)
data = Dashboard.export_dashboards(dashboard_ids)
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21,492 | apache/incubator-superset | superset/sql_lab.py | handle_query_error | def handle_query_error(msg, query, session, payload=None):
"""Local method handling error while processing the SQL"""
payload = payload or {}
troubleshooting_link = config['TROUBLESHOOTING_LINK']
query.error_message = msg
query.status = QueryStatus.FAILED
query.tmp_table_name = None
session.... | python | def handle_query_error(msg, query, session, payload=None):
"""Local method handling error while processing the SQL"""
payload = payload or {}
troubleshooting_link = config['TROUBLESHOOTING_LINK']
query.error_message = msg
query.status = QueryStatus.FAILED
query.tmp_table_name = None
session.... | [
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21,493 | apache/incubator-superset | superset/sql_lab.py | get_query | def get_query(query_id, session, retry_count=5):
"""attemps to get the query and retry if it cannot"""
query = None
attempt = 0
while not query and attempt < retry_count:
try:
query = session.query(Query).filter_by(id=query_id).one()
except Exception:
attempt += 1... | python | def get_query(query_id, session, retry_count=5):
"""attemps to get the query and retry if it cannot"""
query = None
attempt = 0
while not query and attempt < retry_count:
try:
query = session.query(Query).filter_by(id=query_id).one()
except Exception:
attempt += 1... | [
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21,494 | apache/incubator-superset | superset/sql_lab.py | execute_sql_statement | def execute_sql_statement(sql_statement, query, user_name, session, cursor):
"""Executes a single SQL statement"""
database = query.database
db_engine_spec = database.db_engine_spec
parsed_query = ParsedQuery(sql_statement)
sql = parsed_query.stripped()
SQL_MAX_ROWS = app.config.get('SQL_MAX_ROW... | python | def execute_sql_statement(sql_statement, query, user_name, session, cursor):
"""Executes a single SQL statement"""
database = query.database
db_engine_spec = database.db_engine_spec
parsed_query = ParsedQuery(sql_statement)
sql = parsed_query.stripped()
SQL_MAX_ROWS = app.config.get('SQL_MAX_ROW... | [
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21,495 | apache/incubator-superset | superset/utils/core.py | flasher | def flasher(msg, severity=None):
"""Flask's flash if available, logging call if not"""
try:
flash(msg, severity)
except RuntimeError:
if severity == 'danger':
logging.error(msg)
else:
logging.info(msg) | python | def flasher(msg, severity=None):
"""Flask's flash if available, logging call if not"""
try:
flash(msg, severity)
except RuntimeError:
if severity == 'danger':
logging.error(msg)
else:
logging.info(msg) | [
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21,496 | apache/incubator-superset | superset/utils/core.py | list_minus | def list_minus(l: List, minus: List) -> List:
"""Returns l without what is in minus
>>> list_minus([1, 2, 3], [2])
[1, 3]
"""
return [o for o in l if o not in minus] | python | def list_minus(l: List, minus: List) -> List:
"""Returns l without what is in minus
>>> list_minus([1, 2, 3], [2])
[1, 3]
"""
return [o for o in l if o not in minus] | [
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>>> list_minus([1, 2, 3], [2])
[1, 3] | [
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21,497 | apache/incubator-superset | superset/utils/core.py | parse_human_datetime | def parse_human_datetime(s):
"""
Returns ``datetime.datetime`` from human readable strings
>>> from datetime import date, timedelta
>>> from dateutil.relativedelta import relativedelta
>>> parse_human_datetime('2015-04-03')
datetime.datetime(2015, 4, 3, 0, 0)
>>> parse_human_datetime('2/3/1... | python | def parse_human_datetime(s):
"""
Returns ``datetime.datetime`` from human readable strings
>>> from datetime import date, timedelta
>>> from dateutil.relativedelta import relativedelta
>>> parse_human_datetime('2015-04-03')
datetime.datetime(2015, 4, 3, 0, 0)
>>> parse_human_datetime('2/3/1... | [
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>>> from datetime import date, timedelta
>>> from dateutil.relativedelta import relativedelta
>>> parse_human_datetime('2015-04-03')
datetime.datetime(2015, 4, 3, 0, 0)
>>> parse_human_datetime('2/3/1969')
datetime.datetime(1969, 2, 3, 0... | [
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21,498 | apache/incubator-superset | superset/utils/core.py | decode_dashboards | def decode_dashboards(o):
"""
Function to be passed into json.loads obj_hook parameter
Recreates the dashboard object from a json representation.
"""
import superset.models.core as models
from superset.connectors.sqla.models import (
SqlaTable, SqlMetric, TableColumn,
)
if '__Da... | python | def decode_dashboards(o):
"""
Function to be passed into json.loads obj_hook parameter
Recreates the dashboard object from a json representation.
"""
import superset.models.core as models
from superset.connectors.sqla.models import (
SqlaTable, SqlMetric, TableColumn,
)
if '__Da... | [
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Recreates the dashboard object from a json representation. | [
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21,499 | apache/incubator-superset | superset/utils/core.py | parse_human_timedelta | def parse_human_timedelta(s: str):
"""
Returns ``datetime.datetime`` from natural language time deltas
>>> parse_human_datetime('now') <= datetime.now()
True
"""
cal = parsedatetime.Calendar()
dttm = dttm_from_timtuple(datetime.now().timetuple())
d = cal.parse(s or '', dttm)[0]
d = ... | python | def parse_human_timedelta(s: str):
"""
Returns ``datetime.datetime`` from natural language time deltas
>>> parse_human_datetime('now') <= datetime.now()
True
"""
cal = parsedatetime.Calendar()
dttm = dttm_from_timtuple(datetime.now().timetuple())
d = cal.parse(s or '', dttm)[0]
d = ... | [
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