partition stringclasses 3
values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1
value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|
train | check_ownership | Meant to be used in `pre_update` hooks on models to enforce ownership
Admin have all access, and other users need to be referenced on either
the created_by field that comes with the ``AuditMixin``, or in a field
named ``owners`` which is expected to be a one-to-many with the User
model. It is meant to ... | superset/views/base.py | def check_ownership(obj, raise_if_false=True):
"""Meant to be used in `pre_update` hooks on models to enforce ownership
Admin have all access, and other users need to be referenced on either
the created_by field that comes with the ``AuditMixin``, or in a field
named ``owners`` which is expected to be ... | def check_ownership(obj, raise_if_false=True):
"""Meant to be used in `pre_update` hooks on models to enforce ownership
Admin have all access, and other users need to be referenced on either
the created_by field that comes with the ``AuditMixin``, or in a field
named ``owners`` which is expected to be ... | [
"Meant",
"to",
"be",
"used",
"in",
"pre_update",
"hooks",
"on",
"models",
"to",
"enforce",
"ownership"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/base.py#L331-L374 | [
"def",
"check_ownership",
"(",
"obj",
",",
"raise_if_false",
"=",
"True",
")",
":",
"if",
"not",
"obj",
":",
"return",
"False",
"security_exception",
"=",
"SupersetSecurityException",
"(",
"\"You don't have the rights to alter [{}]\"",
".",
"format",
"(",
"obj",
")"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | bind_field | Customize how fields are bound by stripping all whitespace.
:param form: The form
:param unbound_field: The unbound field
:param options: The field options
:returns: The bound field | superset/views/base.py | def bind_field(
self,
form: DynamicForm,
unbound_field: UnboundField,
options: Dict[Any, Any],
) -> Field:
"""
Customize how fields are bound by stripping all whitespace.
:param form: The form
:param unbound_field: The unbound field
:param options: The field opti... | def bind_field(
self,
form: DynamicForm,
unbound_field: UnboundField,
options: Dict[Any, Any],
) -> Field:
"""
Customize how fields are bound by stripping all whitespace.
:param form: The form
:param unbound_field: The unbound field
:param options: The field opti... | [
"Customize",
"how",
"fields",
"are",
"bound",
"by",
"stripping",
"all",
"whitespace",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/base.py#L377-L394 | [
"def",
"bind_field",
"(",
"self",
",",
"form",
":",
"DynamicForm",
",",
"unbound_field",
":",
"UnboundField",
",",
"options",
":",
"Dict",
"[",
"Any",
",",
"Any",
"]",
",",
")",
"->",
"Field",
":",
"filters",
"=",
"unbound_field",
".",
"kwargs",
".",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | BaseSupersetView.common_bootsrap_payload | Common data always sent to the client | superset/views/base.py | def common_bootsrap_payload(self):
"""Common data always sent to the client"""
messages = get_flashed_messages(with_categories=True)
locale = str(get_locale())
return {
'flash_messages': messages,
'conf': {k: conf.get(k) for k in FRONTEND_CONF_KEYS},
'... | def common_bootsrap_payload(self):
"""Common data always sent to the client"""
messages = get_flashed_messages(with_categories=True)
locale = str(get_locale())
return {
'flash_messages': messages,
'conf': {k: conf.get(k) for k in FRONTEND_CONF_KEYS},
'... | [
"Common",
"data",
"always",
"sent",
"to",
"the",
"client"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/base.py#L156-L166 | [
"def",
"common_bootsrap_payload",
"(",
"self",
")",
":",
"messages",
"=",
"get_flashed_messages",
"(",
"with_categories",
"=",
"True",
")",
"locale",
"=",
"str",
"(",
"get_locale",
"(",
")",
")",
"return",
"{",
"'flash_messages'",
":",
"messages",
",",
"'conf'... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DeleteMixin._delete | Delete function logic, override to implement diferent logic
deletes the record with primary_key = pk
:param pk:
record primary key to delete | superset/views/base.py | def _delete(self, pk):
"""
Delete function logic, override to implement diferent logic
deletes the record with primary_key = pk
:param pk:
record primary key to delete
"""
item = self.datamodel.get(pk, self._base_filters)
if not item:
... | def _delete(self, pk):
"""
Delete function logic, override to implement diferent logic
deletes the record with primary_key = pk
:param pk:
record primary key to delete
"""
item = self.datamodel.get(pk, self._base_filters)
if not item:
... | [
"Delete",
"function",
"logic",
"override",
"to",
"implement",
"diferent",
"logic",
"deletes",
"the",
"record",
"with",
"primary_key",
"=",
"pk"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/base.py#L207-L251 | [
"def",
"_delete",
"(",
"self",
",",
"pk",
")",
":",
"item",
"=",
"self",
".",
"datamodel",
".",
"get",
"(",
"pk",
",",
"self",
".",
"_base_filters",
")",
"if",
"not",
"item",
":",
"abort",
"(",
"404",
")",
"try",
":",
"self",
".",
"pre_delete",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetFilter.get_all_permissions | Returns a set of tuples with the perm name and view menu name | superset/views/base.py | def get_all_permissions(self):
"""Returns a set of tuples with the perm name and view menu name"""
perms = set()
for role in self.get_user_roles():
for perm_view in role.permissions:
t = (perm_view.permission.name, perm_view.view_menu.name)
perms.add(t... | def get_all_permissions(self):
"""Returns a set of tuples with the perm name and view menu name"""
perms = set()
for role in self.get_user_roles():
for perm_view in role.permissions:
t = (perm_view.permission.name, perm_view.view_menu.name)
perms.add(t... | [
"Returns",
"a",
"set",
"of",
"tuples",
"with",
"the",
"perm",
"name",
"and",
"view",
"menu",
"name"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/base.py#L286-L293 | [
"def",
"get_all_permissions",
"(",
"self",
")",
":",
"perms",
"=",
"set",
"(",
")",
"for",
"role",
"in",
"self",
".",
"get_user_roles",
"(",
")",
":",
"for",
"perm_view",
"in",
"role",
".",
"permissions",
":",
"t",
"=",
"(",
"perm_view",
".",
"permissi... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetFilter.get_view_menus | Returns the details of view_menus for a perm name | superset/views/base.py | def get_view_menus(self, permission_name):
"""Returns the details of view_menus for a perm name"""
vm = set()
for perm_name, vm_name in self.get_all_permissions():
if perm_name == permission_name:
vm.add(vm_name)
return vm | def get_view_menus(self, permission_name):
"""Returns the details of view_menus for a perm name"""
vm = set()
for perm_name, vm_name in self.get_all_permissions():
if perm_name == permission_name:
vm.add(vm_name)
return vm | [
"Returns",
"the",
"details",
"of",
"view_menus",
"for",
"a",
"perm",
"name"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/base.py#L306-L312 | [
"def",
"get_view_menus",
"(",
"self",
",",
"permission_name",
")",
":",
"vm",
"=",
"set",
"(",
")",
"for",
"perm_name",
",",
"vm_name",
"in",
"self",
".",
"get_all_permissions",
"(",
")",
":",
"if",
"perm_name",
"==",
"permission_name",
":",
"vm",
".",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | destroy_webdriver | Destroy a driver | superset/tasks/schedules.py | 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 | 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 | [
"Destroy",
"a",
"driver"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/schedules.py#L190-L204 | [
"def",
"destroy_webdriver",
"(",
"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",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | deliver_dashboard | Given a schedule, delivery the dashboard as an email report | superset/tasks/schedules.py | 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,
)
# Create a driver, fetch the page, wait for the page to rend... | 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,
)
# Create a driver, fetch the page, wait for the page to rend... | [
"Given",
"a",
"schedule",
"delivery",
"the",
"dashboard",
"as",
"an",
"email",
"report"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/schedules.py#L207-L258 | [
"def",
"deliver_dashboard",
"(",
"schedule",
")",
":",
"dashboard",
"=",
"schedule",
".",
"dashboard",
"dashboard_url",
"=",
"_get_url_path",
"(",
"'Superset.dashboard'",
",",
"dashboard_id",
"=",
"dashboard",
".",
"id",
",",
")",
"# Create a driver, fetch the page, w... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | deliver_slice | Given a schedule, delivery the slice as an email report | superset/tasks/schedules.py | 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... | 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... | [
"Given",
"a",
"schedule",
"delivery",
"the",
"slice",
"as",
"an",
"email",
"report"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/schedules.py#L356-L373 | [
"def",
"deliver_slice",
"(",
"schedule",
")",
":",
"if",
"schedule",
".",
"email_format",
"==",
"SliceEmailReportFormat",
".",
"data",
":",
"email",
"=",
"_get_slice_data",
"(",
"schedule",
")",
"elif",
"schedule",
".",
"email_format",
"==",
"SliceEmailReportForma... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | schedule_window | Find all active schedules and schedule celery tasks for
each of them with a specific ETA (determined by parsing
the cron schedule for the schedule) | superset/tasks/schedules.py | def schedule_window(report_type, start_at, stop_at, resolution):
"""
Find all active schedules and schedule celery tasks for
each of them with a specific ETA (determined by parsing
the cron schedule for the schedule)
"""
model_cls = get_scheduler_model(report_type)
dbsession = db.create_scop... | def schedule_window(report_type, start_at, stop_at, resolution):
"""
Find all active schedules and schedule celery tasks for
each of them with a specific ETA (determined by parsing
the cron schedule for the schedule)
"""
model_cls = get_scheduler_model(report_type)
dbsession = db.create_scop... | [
"Find",
"all",
"active",
"schedules",
"and",
"schedule",
"celery",
"tasks",
"for",
"each",
"of",
"them",
"with",
"a",
"specific",
"ETA",
"(",
"determined",
"by",
"parsing",
"the",
"cron",
"schedule",
"for",
"the",
"schedule",
")"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/schedules.py#L419-L440 | [
"def",
"schedule_window",
"(",
"report_type",
",",
"start_at",
",",
"stop_at",
",",
"resolution",
")",
":",
"model_cls",
"=",
"get_scheduler_model",
"(",
"report_type",
")",
"dbsession",
"=",
"db",
".",
"create_scoped_session",
"(",
")",
"schedules",
"=",
"dbses... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | schedule_hourly | Celery beat job meant to be invoked hourly | superset/tasks/schedules.py | 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... | 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... | [
"Celery",
"beat",
"job",
"meant",
"to",
"be",
"invoked",
"hourly"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/schedules.py#L444-L457 | [
"def",
"schedule_hourly",
"(",
")",
":",
"if",
"not",
"config",
".",
"get",
"(",
"'ENABLE_SCHEDULED_EMAIL_REPORTS'",
")",
":",
"logging",
".",
"info",
"(",
"'Scheduled email reports not enabled in config'",
")",
"return",
"resolution",
"=",
"config",
".",
"get",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | dedup | 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'])))
foo,bar,bar__1,bar__2,Bar
>>> print(','.join(dedup(['... | superset/dataframe.py | 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... | 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... | [
"De",
"-",
"duplicates",
"a",
"list",
"of",
"string",
"by",
"suffixing",
"a",
"counter"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/dataframe.py#L39-L60 | [
"def",
"dedup",
"(",
"l",
",",
"suffix",
"=",
"'__'",
",",
"case_sensitive",
"=",
"True",
")",
":",
"new_l",
"=",
"[",
"]",
"seen",
"=",
"{",
"}",
"for",
"s",
"in",
"l",
":",
"s_fixed_case",
"=",
"s",
"if",
"case_sensitive",
"else",
"s",
".",
"lo... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetDataFrame.db_type | Given a numpy dtype, Returns a generic database type | superset/dataframe.py | 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) | 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) | [
"Given",
"a",
"numpy",
"dtype",
"Returns",
"a",
"generic",
"database",
"type"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/dataframe.py#L122-L127 | [
"def",
"db_type",
"(",
"cls",
",",
"dtype",
")",
":",
"if",
"isinstance",
"(",
"dtype",
",",
"ExtensionDtype",
")",
":",
"return",
"cls",
".",
"type_map",
".",
"get",
"(",
"dtype",
".",
"kind",
")",
"elif",
"hasattr",
"(",
"dtype",
",",
"'char'",
")"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetDataFrame.columns | Provides metadata about columns for data visualization.
:return: dict, with the fields name, type, is_date, is_dim and agg. | superset/dataframe.py | 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)... | 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)... | [
"Provides",
"metadata",
"about",
"columns",
"for",
"data",
"visualization",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/dataframe.py#L177-L229 | [
"def",
"columns",
"(",
"self",
")",
":",
"if",
"self",
".",
"df",
".",
"empty",
":",
"return",
"None",
"columns",
"=",
"[",
"]",
"sample_size",
"=",
"min",
"(",
"INFER_COL_TYPES_SAMPLE_SIZE",
",",
"len",
"(",
"self",
".",
"df",
".",
"index",
")",
")"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | TableColumn.get_timestamp_expression | Getting the time component of the query | superset/connectors/sqla/models.py | 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... | 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... | [
"Getting",
"the",
"time",
"component",
"of",
"the",
"query"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L143-L162 | [
"def",
"get_timestamp_expression",
"(",
"self",
",",
"time_grain",
")",
":",
"label",
"=",
"utils",
".",
"DTTM_ALIAS",
"db",
"=",
"self",
".",
"table",
".",
"database",
"pdf",
"=",
"self",
".",
"python_date_format",
"is_epoch",
"=",
"pdf",
"in",
"(",
"'epo... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | TableColumn.dttm_sql_literal | 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 empty, the internal dttm
will be parsed as the sql senten... | superset/connectors/sqla/models.py | 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... | 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... | [
"Convert",
"datetime",
"object",
"to",
"a",
"SQL",
"expression",
"string"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L172-L198 | [
"def",
"dttm_sql_literal",
"(",
"self",
",",
"dttm",
",",
"is_epoch_in_utc",
")",
":",
"tf",
"=",
"self",
".",
"python_date_format",
"if",
"self",
".",
"database_expression",
":",
"return",
"self",
".",
"database_expression",
".",
"format",
"(",
"dttm",
".",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.make_sqla_column_compatible | Takes a sql alchemy column object and adds label info if supported by engine.
:param sqla_col: sql alchemy column instance
:param label: alias/label that column is expected to have
:return: either a sql alchemy column or label instance if supported by engine | superset/connectors/sqla/models.py | def make_sqla_column_compatible(self, sqla_col, label=None):
"""Takes a sql alchemy column object and adds label info if supported by engine.
:param sqla_col: sql alchemy column instance
:param label: alias/label that column is expected to have
:return: either a sql alchemy column or lab... | def make_sqla_column_compatible(self, sqla_col, label=None):
"""Takes a sql alchemy column object and adds label info if supported by engine.
:param sqla_col: sql alchemy column instance
:param label: alias/label that column is expected to have
:return: either a sql alchemy column or lab... | [
"Takes",
"a",
"sql",
"alchemy",
"column",
"object",
"and",
"adds",
"label",
"info",
"if",
"supported",
"by",
"engine",
".",
":",
"param",
"sqla_col",
":",
"sql",
"alchemy",
"column",
"instance",
":",
"param",
"label",
":",
"alias",
"/",
"label",
"that",
... | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L302-L314 | [
"def",
"make_sqla_column_compatible",
"(",
"self",
",",
"sqla_col",
",",
"label",
"=",
"None",
")",
":",
"label_expected",
"=",
"label",
"or",
"sqla_col",
".",
"name",
"db_engine_spec",
"=",
"self",
".",
"database",
".",
"db_engine_spec",
"if",
"db_engine_spec",... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.values_for_column | Runs query against sqla to retrieve some
sample values for the given column. | superset/connectors/sqla/models.py | 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 ... | 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 ... | [
"Runs",
"query",
"against",
"sqla",
"to",
"retrieve",
"some",
"sample",
"values",
"for",
"the",
"given",
"column",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L437-L464 | [
"def",
"values_for_column",
"(",
"self",
",",
"column_name",
",",
"limit",
"=",
"10000",
")",
":",
"cols",
"=",
"{",
"col",
".",
"column_name",
":",
"col",
"for",
"col",
"in",
"self",
".",
"columns",
"}",
"target_col",
"=",
"cols",
"[",
"column_name",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.mutate_query_from_config | Apply config's SQL_QUERY_MUTATOR
Typically adds comments to the query with context | superset/connectors/sqla/models.py | 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... | 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... | [
"Apply",
"config",
"s",
"SQL_QUERY_MUTATOR"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L466-L474 | [
"def",
"mutate_query_from_config",
"(",
"self",
",",
"sql",
")",
":",
"SQL_QUERY_MUTATOR",
"=",
"config",
".",
"get",
"(",
"'SQL_QUERY_MUTATOR'",
")",
"if",
"SQL_QUERY_MUTATOR",
":",
"username",
"=",
"utils",
".",
"get_username",
"(",
")",
"sql",
"=",
"SQL_QUE... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.adhoc_metric_to_sqla | 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 | superset/connectors/sqla/models.py | 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
... | 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
... | [
"Turn",
"an",
"adhoc",
"metric",
"into",
"a",
"sqlalchemy",
"column",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L509-L534 | [
"def",
"adhoc_metric_to_sqla",
"(",
"self",
",",
"metric",
",",
"cols",
")",
":",
"expression_type",
"=",
"metric",
".",
"get",
"(",
"'expressionType'",
")",
"label",
"=",
"utils",
".",
"get_metric_name",
"(",
"metric",
")",
"if",
"expression_type",
"==",
"u... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.get_sqla_query | Querying any sqla table from this common interface | superset/connectors/sqla/models.py | def get_sqla_query( # sqla
self,
groupby, metrics,
granularity,
from_dttm, to_dttm,
filter=None, # noqa
is_timeseries=True,
timeseries_limit=15,
timeseries_limit_metric=None,
row_limit=None,
inner_f... | def get_sqla_query( # sqla
self,
groupby, metrics,
granularity,
from_dttm, to_dttm,
filter=None, # noqa
is_timeseries=True,
timeseries_limit=15,
timeseries_limit_metric=None,
row_limit=None,
inner_f... | [
"Querying",
"any",
"sqla",
"table",
"from",
"this",
"common",
"interface"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L536-L808 | [
"def",
"get_sqla_query",
"(",
"# sqla",
"self",
",",
"groupby",
",",
"metrics",
",",
"granularity",
",",
"from_dttm",
",",
"to_dttm",
",",
"filter",
"=",
"None",
",",
"# noqa",
"is_timeseries",
"=",
"True",
",",
"timeseries_limit",
"=",
"15",
",",
"timeserie... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.fetch_metadata | Fetches the metadata for the table and merges it in | superset/connectors/sqla/models.py | 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(_(
"Table [{}] doesn't seem to exist in the specified data... | 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(_(
"Table [{}] doesn't seem to exist in the specified data... | [
"Fetches",
"the",
"metadata",
"for",
"the",
"table",
"and",
"merges",
"it",
"in"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L875-L930 | [
"def",
"fetch_metadata",
"(",
"self",
")",
":",
"try",
":",
"table",
"=",
"self",
".",
"get_sqla_table_object",
"(",
")",
"except",
"Exception",
"as",
"e",
":",
"logging",
".",
"exception",
"(",
"e",
")",
"raise",
"Exception",
"(",
"_",
"(",
"\"Table [{}... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SqlaTable.import_obj | Imports the datasource from the object to the database.
Metrics and columns and datasource will be overrided if exists.
This function can be used to import/export dashboards between multiple
superset instances. Audit metadata isn't copies over. | superset/connectors/sqla/models.py | def import_obj(cls, i_datasource, import_time=None):
"""Imports the datasource from the object to the database.
Metrics and columns and datasource will be overrided if exists.
This function can be used to import/export dashboards between multiple
superset instances. Audit metadata is... | def import_obj(cls, i_datasource, import_time=None):
"""Imports the datasource from the object to the database.
Metrics and columns and datasource will be overrided if exists.
This function can be used to import/export dashboards between multiple
superset instances. Audit metadata is... | [
"Imports",
"the",
"datasource",
"from",
"the",
"object",
"to",
"the",
"database",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/models.py#L933-L952 | [
"def",
"import_obj",
"(",
"cls",
",",
"i_datasource",
",",
"import_time",
"=",
"None",
")",
":",
"def",
"lookup_sqlatable",
"(",
"table",
")",
":",
"return",
"db",
".",
"session",
".",
"query",
"(",
"SqlaTable",
")",
".",
"join",
"(",
"Database",
")",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | load_long_lat_data | Loading lat/long data from a csv file in the repo | superset/data/long_lat.py | def load_long_lat_data():
"""Loading lat/long data from a csv file in the repo"""
data = get_example_data('san_francisco.csv.gz', make_bytes=True)
pdf = pd.read_csv(data, encoding='utf-8')
start = datetime.datetime.now().replace(
hour=0, minute=0, second=0, microsecond=0)
pdf['datetime'] = [... | def load_long_lat_data():
"""Loading lat/long data from a csv file in the repo"""
data = get_example_data('san_francisco.csv.gz', make_bytes=True)
pdf = pd.read_csv(data, encoding='utf-8')
start = datetime.datetime.now().replace(
hour=0, minute=0, second=0, microsecond=0)
pdf['datetime'] = [... | [
"Loading",
"lat",
"/",
"long",
"data",
"from",
"a",
"csv",
"file",
"in",
"the",
"repo"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/data/long_lat.py#L36-L110 | [
"def",
"load_long_lat_data",
"(",
")",
":",
"data",
"=",
"get_example_data",
"(",
"'san_francisco.csv.gz'",
",",
"make_bytes",
"=",
"True",
")",
"pdf",
"=",
"pd",
".",
"read_csv",
"(",
"data",
",",
"encoding",
"=",
"'utf-8'",
")",
"start",
"=",
"datetime",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Datasource.external_metadata | Gets column info from the source system | superset/views/datasource.py | 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... | 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... | [
"Gets",
"column",
"info",
"from",
"the",
"source",
"system"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/datasource.py#L70-L89 | [
"def",
"external_metadata",
"(",
"self",
",",
"datasource_type",
"=",
"None",
",",
"datasource_id",
"=",
"None",
")",
":",
"if",
"datasource_type",
"==",
"'druid'",
":",
"datasource",
"=",
"ConnectorRegistry",
".",
"get_datasource",
"(",
"datasource_type",
",",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | filter_not_empty_values | Returns a list of non empty values or None | superset/forms.py | 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 | 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 | [
"Returns",
"a",
"list",
"of",
"non",
"empty",
"values",
"or",
"None"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/forms.py#L50-L57 | [
"def",
"filter_not_empty_values",
"(",
"value",
")",
":",
"if",
"not",
"value",
":",
"return",
"None",
"data",
"=",
"[",
"x",
"for",
"x",
"in",
"value",
"if",
"x",
"]",
"if",
"not",
"data",
":",
"return",
"None",
"return",
"data"
] | ca2996c78f679260eb79c6008e276733df5fb653 |
train | CsvToDatabaseForm.at_least_one_schema_is_allowed | If the user has access to the database or all datasource
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
b) if database supports schema
user ... | superset/forms.py | def at_least_one_schema_is_allowed(database):
"""
If the user has access to the database or all datasource
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
... | def at_least_one_schema_is_allowed(database):
"""
If the user has access to the database or all datasource
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
... | [
"If",
"the",
"user",
"has",
"access",
"to",
"the",
"database",
"or",
"all",
"datasource",
"1",
".",
"if",
"schemas_allowed_for_csv_upload",
"is",
"empty",
"a",
")",
"if",
"database",
"does",
"not",
"support",
"schema",
"user",
"is",
"able",
"to",
"upload",
... | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/forms.py#L73-L106 | [
"def",
"at_least_one_schema_is_allowed",
"(",
"database",
")",
":",
"if",
"(",
"security_manager",
".",
"database_access",
"(",
"database",
")",
"or",
"security_manager",
".",
"all_datasource_access",
"(",
")",
")",
":",
"return",
"True",
"schemas",
"=",
"database... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | QueryFilter.apply | Filter queries to only those owned by current user if
can_only_access_owned_queries permission is set.
:returns: query | superset/views/sql_lab.py | def apply(
self,
query: BaseQuery,
func: Callable) -> BaseQuery:
"""
Filter queries to only those owned by current user if
can_only_access_owned_queries permission is set.
:returns: query
"""
if security_manager.can_only_access_owned_q... | def apply(
self,
query: BaseQuery,
func: Callable) -> BaseQuery:
"""
Filter queries to only those owned by current user if
can_only_access_owned_queries permission is set.
:returns: query
"""
if security_manager.can_only_access_owned_q... | [
"Filter",
"queries",
"to",
"only",
"those",
"owned",
"by",
"current",
"user",
"if",
"can_only_access_owned_queries",
"permission",
"is",
"set",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/sql_lab.py#L34-L49 | [
"def",
"apply",
"(",
"self",
",",
"query",
":",
"BaseQuery",
",",
"func",
":",
"Callable",
")",
"->",
"BaseQuery",
":",
"if",
"security_manager",
".",
"can_only_access_owned_queries",
"(",
")",
":",
"query",
"=",
"(",
"query",
".",
"filter",
"(",
"Query",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | TableModelView.edit | Simple hack to redirect to explore view after saving | superset/connectors/sqla/views.py | 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)) | 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)) | [
"Simple",
"hack",
"to",
"redirect",
"to",
"explore",
"view",
"after",
"saving"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/sqla/views.py#L305-L310 | [
"def",
"edit",
"(",
"self",
",",
"pk",
")",
":",
"resp",
"=",
"super",
"(",
"TableModelView",
",",
"self",
")",
".",
"edit",
"(",
"pk",
")",
"if",
"isinstance",
"(",
"resp",
",",
"str",
")",
":",
"return",
"resp",
"return",
"redirect",
"(",
"'/supe... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | get_language_pack | Get/cache a language pack
Returns the langugage pack from cache if it exists, caches otherwise
>>> get_language_pack('fr')['Dashboards']
"Tableaux de bords" | superset/translations/utils.py | def get_language_pack(locale):
"""Get/cache a language pack
Returns the langugage pack from cache if it exists, caches otherwise
>>> get_language_pack('fr')['Dashboards']
"Tableaux de bords"
"""
pack = ALL_LANGUAGE_PACKS.get(locale)
if not pack:
filename = DIR + '/{}/LC_MESSAGES/me... | def get_language_pack(locale):
"""Get/cache a language pack
Returns the langugage pack from cache if it exists, caches otherwise
>>> get_language_pack('fr')['Dashboards']
"Tableaux de bords"
"""
pack = ALL_LANGUAGE_PACKS.get(locale)
if not pack:
filename = DIR + '/{}/LC_MESSAGES/me... | [
"Get",
"/",
"cache",
"a",
"language",
"pack"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/translations/utils.py#L27-L45 | [
"def",
"get_language_pack",
"(",
"locale",
")",
":",
"pack",
"=",
"ALL_LANGUAGE_PACKS",
".",
"get",
"(",
"locale",
")",
"if",
"not",
"pack",
":",
"filename",
"=",
"DIR",
"+",
"'/{}/LC_MESSAGES/messages.json'",
".",
"format",
"(",
"locale",
")",
"try",
":",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | get_form_data | 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. | superset/tasks/cache.py | 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... | 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... | [
"Build",
"form_data",
"for",
"chart",
"GET",
"request",
"from",
"dashboard",
"s",
"default_filters",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/cache.py#L40-L75 | [
"def",
"get_form_data",
"(",
"chart_id",
",",
"dashboard",
"=",
"None",
")",
":",
"form_data",
"=",
"{",
"'slice_id'",
":",
"chart_id",
"}",
"if",
"dashboard",
"is",
"None",
"or",
"not",
"dashboard",
".",
"json_metadata",
":",
"return",
"form_data",
"json_me... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | get_url | Return external URL for warming up a given chart/table cache. | superset/tasks/cache.py | def get_url(params):
"""Return external URL for warming up a given chart/table cache."""
baseurl = 'http://{SUPERSET_WEBSERVER_ADDRESS}:{SUPERSET_WEBSERVER_PORT}/'.format(
**app.config)
with app.test_request_context():
return urllib.parse.urljoin(
baseurl,
url_for('Su... | def get_url(params):
"""Return external URL for warming up a given chart/table cache."""
baseurl = 'http://{SUPERSET_WEBSERVER_ADDRESS}:{SUPERSET_WEBSERVER_PORT}/'.format(
**app.config)
with app.test_request_context():
return urllib.parse.urljoin(
baseurl,
url_for('Su... | [
"Return",
"external",
"URL",
"for",
"warming",
"up",
"a",
"given",
"chart",
"/",
"table",
"cache",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/cache.py#L78-L86 | [
"def",
"get_url",
"(",
"params",
")",
":",
"baseurl",
"=",
"'http://{SUPERSET_WEBSERVER_ADDRESS}:{SUPERSET_WEBSERVER_PORT}/'",
".",
"format",
"(",
"*",
"*",
"app",
".",
"config",
")",
"with",
"app",
".",
"test_request_context",
"(",
")",
":",
"return",
"urllib",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | cache_warmup | Warm up cache.
This task periodically hits charts to warm up the cache. | superset/tasks/cache.py | 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... | 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... | [
"Warm",
"up",
"cache",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/tasks/cache.py#L280-L316 | [
"def",
"cache_warmup",
"(",
"strategy_name",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"logger",
".",
"info",
"(",
"'Loading strategy'",
")",
"class_",
"=",
"None",
"for",
"class_",
"in",
"strategies",
":",
"if",
"class_",
".",
"name",
"==",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | fetch_logs | Mocked. Retrieve the logs produced by the execution of the query.
Can be called multiple times to fetch the logs produced after
the previous call.
:returns: list<str>
:raises: ``ProgrammingError`` when no query has been started
.. note::
This is not a part of DB-API. | superset/db_engines/hive.py | def fetch_logs(self, max_rows=1024,
orientation=None):
"""Mocked. Retrieve the logs produced by the execution of the query.
Can be called multiple times to fetch the logs produced after
the previous call.
:returns: list<str>
:raises: ``ProgrammingError`` when no query has been started... | def fetch_logs(self, max_rows=1024,
orientation=None):
"""Mocked. Retrieve the logs produced by the execution of the query.
Can be called multiple times to fetch the logs produced after
the previous call.
:returns: list<str>
:raises: ``ProgrammingError`` when no query has been started... | [
"Mocked",
".",
"Retrieve",
"the",
"logs",
"produced",
"by",
"the",
"execution",
"of",
"the",
"query",
".",
"Can",
"be",
"called",
"multiple",
"times",
"to",
"fetch",
"the",
"logs",
"produced",
"after",
"the",
"previous",
"call",
".",
":",
"returns",
":",
... | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/db_engines/hive.py#L21-L61 | [
"def",
"fetch_logs",
"(",
"self",
",",
"max_rows",
"=",
"1024",
",",
"orientation",
"=",
"None",
")",
":",
"from",
"pyhive",
"import",
"hive",
"from",
"TCLIService",
"import",
"ttypes",
"from",
"thrift",
"import",
"Thrift",
"orientation",
"=",
"orientation",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidCluster.refresh_datasources | Refresh metadata of all datasources in the cluster
If ``datasource_name`` is specified, only that datasource is updated | superset/connectors/druid/models.py | 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... | 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... | [
"Refresh",
"metadata",
"of",
"all",
"datasources",
"in",
"the",
"cluster",
"If",
"datasource_name",
"is",
"specified",
"only",
"that",
"datasource",
"is",
"updated"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L165-L182 | [
"def",
"refresh_datasources",
"(",
"self",
",",
"datasource_name",
"=",
"None",
",",
"merge_flag",
"=",
"True",
",",
"refreshAll",
"=",
"True",
")",
":",
"ds_list",
"=",
"self",
".",
"get_datasources",
"(",
")",
"blacklist",
"=",
"conf",
".",
"get",
"(",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidCluster.refresh | Fetches metadata for the specified datasources and
merges to the Superset database | superset/connectors/druid/models.py | def refresh(self, datasource_names, merge_flag, refreshAll):
"""
Fetches metadata for the specified datasources and
merges to the Superset database
"""
session = db.session
ds_list = (
session.query(DruidDatasource)
.filter(DruidDatasource.cluster_... | def refresh(self, datasource_names, merge_flag, refreshAll):
"""
Fetches metadata for the specified datasources and
merges to the Superset database
"""
session = db.session
ds_list = (
session.query(DruidDatasource)
.filter(DruidDatasource.cluster_... | [
"Fetches",
"metadata",
"for",
"the",
"specified",
"datasources",
"and",
"merges",
"to",
"the",
"Superset",
"database"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L184-L248 | [
"def",
"refresh",
"(",
"self",
",",
"datasource_names",
",",
"merge_flag",
",",
"refreshAll",
")",
":",
"session",
"=",
"db",
".",
"session",
"ds_list",
"=",
"(",
"session",
".",
"query",
"(",
"DruidDatasource",
")",
".",
"filter",
"(",
"DruidDatasource",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidColumn.refresh_metrics | Refresh metrics based on the column metadata | superset/connectors/druid/models.py | 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()))... | 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()))... | [
"Refresh",
"metrics",
"based",
"on",
"the",
"column",
"metadata"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L309-L326 | [
"def",
"refresh_metrics",
"(",
"self",
")",
":",
"metrics",
"=",
"self",
".",
"get_metrics",
"(",
")",
"dbmetrics",
"=",
"(",
"db",
".",
"session",
".",
"query",
"(",
"DruidMetric",
")",
".",
"filter",
"(",
"DruidMetric",
".",
"datasource_id",
"==",
"sel... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.import_obj | Imports the datasource from the object to the database.
Metrics and columns and datasource will be overridden if exists.
This function can be used to import/export dashboards between multiple
superset instances. Audit metadata isn't copies over. | superset/connectors/druid/models.py | def import_obj(cls, i_datasource, import_time=None):
"""Imports the datasource from the object to the database.
Metrics and columns and datasource will be overridden if exists.
This function can be used to import/export dashboards between multiple
superset instances. Audit metadata i... | def import_obj(cls, i_datasource, import_time=None):
"""Imports the datasource from the object to the database.
Metrics and columns and datasource will be overridden if exists.
This function can be used to import/export dashboards between multiple
superset instances. Audit metadata i... | [
"Imports",
"the",
"datasource",
"from",
"the",
"object",
"to",
"the",
"database",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L514-L532 | [
"def",
"import_obj",
"(",
"cls",
",",
"i_datasource",
",",
"import_time",
"=",
"None",
")",
":",
"def",
"lookup_datasource",
"(",
"d",
")",
":",
"return",
"db",
".",
"session",
".",
"query",
"(",
"DruidDatasource",
")",
".",
"filter",
"(",
"DruidDatasource... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.sync_to_db_from_config | Merges the ds config from druid_config into one stored in the db. | superset/connectors/druid/models.py | 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_... | 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_... | [
"Merges",
"the",
"ds",
"config",
"from",
"druid_config",
"into",
"one",
"stored",
"in",
"the",
"db",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L590-L671 | [
"def",
"sync_to_db_from_config",
"(",
"cls",
",",
"druid_config",
",",
"user",
",",
"cluster",
",",
"refresh",
"=",
"True",
")",
":",
"session",
"=",
"db",
".",
"session",
"datasource",
"=",
"(",
"session",
".",
"query",
"(",
"cls",
")",
".",
"filter_by"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.get_post_agg | For a metric specified as `postagg` returns the
kind of post aggregation for pydruid. | superset/connectors/druid/models.py | 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.... | 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.... | [
"For",
"a",
"metric",
"specified",
"as",
"postagg",
"returns",
"the",
"kind",
"of",
"post",
"aggregation",
"for",
"pydruid",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L731-L770 | [
"def",
"get_post_agg",
"(",
"mconf",
")",
":",
"if",
"mconf",
".",
"get",
"(",
"'type'",
")",
"==",
"'javascript'",
":",
"return",
"JavascriptPostAggregator",
"(",
"name",
"=",
"mconf",
".",
"get",
"(",
"'name'",
",",
"''",
")",
",",
"field_names",
"=",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.find_postaggs_for | Return a list of metrics that are post aggregations | superset/connectors/druid/models.py | 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... | 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... | [
"Return",
"a",
"list",
"of",
"metrics",
"that",
"are",
"post",
"aggregations"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L773-L782 | [
"def",
"find_postaggs_for",
"(",
"postagg_names",
",",
"metrics_dict",
")",
":",
"postagg_metrics",
"=",
"[",
"metrics_dict",
"[",
"name",
"]",
"for",
"name",
"in",
"postagg_names",
"if",
"metrics_dict",
"[",
"name",
"]",
".",
"metric_type",
"==",
"POST_AGG_TYPE... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.values_for_column | Retrieve some values for the given column | superset/connectors/druid/models.py | 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... | 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... | [
"Retrieve",
"some",
"values",
"for",
"the",
"given",
"column"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L857-L883 | [
"def",
"values_for_column",
"(",
"self",
",",
"column_name",
",",
"limit",
"=",
"10000",
")",
":",
"logging",
".",
"info",
"(",
"'Getting values for columns [{}] limited to [{}]'",
".",
"format",
"(",
"column_name",
",",
"limit",
")",
")",
"# TODO: Use Lexicographic... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.get_aggregations | 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_metrics: list of adhoc metric names
:raise SupersetException: if one or more metr... | superset/connectors/druid/models.py | 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_... | 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_... | [
"Returns",
"a",
"dictionary",
"of",
"aggregation",
"metric",
"names",
"to",
"aggregation",
"json",
"objects"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L940-L970 | [
"def",
"get_aggregations",
"(",
"metrics_dict",
",",
"saved_metrics",
",",
"adhoc_metrics",
"=",
"[",
"]",
")",
":",
"aggregations",
"=",
"OrderedDict",
"(",
")",
"invalid_metric_names",
"=",
"[",
"]",
"for",
"metric_name",
"in",
"saved_metrics",
":",
"if",
"m... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource._dimensions_to_values | Replace dimensions specs with their `dimension`
values, and ignore those without | superset/connectors/druid/models.py | 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:
... | 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:
... | [
"Replace",
"dimensions",
"specs",
"with",
"their",
"dimension",
"values",
"and",
"ignore",
"those",
"without"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L1010-L1025 | [
"def",
"_dimensions_to_values",
"(",
"dimensions",
")",
":",
"values",
"=",
"[",
"]",
"for",
"dimension",
"in",
"dimensions",
":",
"if",
"isinstance",
"(",
"dimension",
",",
"dict",
")",
":",
"if",
"'extractionFn'",
"in",
"dimension",
":",
"values",
".",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.run_query | Runs a query against Druid and returns a dataframe. | superset/connectors/druid/models.py | def run_query( # noqa / druid
self,
groupby, metrics,
granularity,
from_dttm, to_dttm,
filter=None, # noqa
is_timeseries=True,
timeseries_limit=None,
timeseries_limit_metric=None,
row_limit=None,
in... | def run_query( # noqa / druid
self,
groupby, metrics,
granularity,
from_dttm, to_dttm,
filter=None, # noqa
is_timeseries=True,
timeseries_limit=None,
timeseries_limit_metric=None,
row_limit=None,
in... | [
"Runs",
"a",
"query",
"against",
"Druid",
"and",
"returns",
"a",
"dataframe",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L1039-L1268 | [
"def",
"run_query",
"(",
"# noqa / druid",
"self",
",",
"groupby",
",",
"metrics",
",",
"granularity",
",",
"from_dttm",
",",
"to_dttm",
",",
"filter",
"=",
"None",
",",
"# noqa",
"is_timeseries",
"=",
"True",
",",
"timeseries_limit",
"=",
"None",
",",
"time... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.homogenize_types | Converting all GROUPBY columns to strings
When grouping by a numeric (say FLOAT) column, pydruid returns
strings in the dataframe. This creates issues downstream related
to having mixed types in the dataframe
Here we replace None with <NULL> and make the whole series a
str inst... | superset/connectors/druid/models.py | def homogenize_types(df, groupby_cols):
"""Converting all GROUPBY columns to strings
When grouping by a numeric (say FLOAT) column, pydruid returns
strings in the dataframe. This creates issues downstream related
to having mixed types in the dataframe
Here we replace None with ... | def homogenize_types(df, groupby_cols):
"""Converting all GROUPBY columns to strings
When grouping by a numeric (say FLOAT) column, pydruid returns
strings in the dataframe. This creates issues downstream related
to having mixed types in the dataframe
Here we replace None with ... | [
"Converting",
"all",
"GROUPBY",
"columns",
"to",
"strings"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L1271-L1283 | [
"def",
"homogenize_types",
"(",
"df",
",",
"groupby_cols",
")",
":",
"for",
"col",
"in",
"groupby_cols",
":",
"df",
"[",
"col",
"]",
"=",
"df",
"[",
"col",
"]",
".",
"fillna",
"(",
"'<NULL>'",
")",
".",
"astype",
"(",
"'unicode'",
")",
"return",
"df"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | DruidDatasource.get_filters | Given Superset filter data structure, returns pydruid Filter(s) | superset/connectors/druid/models.py | def get_filters(cls, raw_filters, num_cols, columns_dict): # noqa
"""Given Superset filter data structure, returns pydruid Filter(s)"""
filters = None
for flt in raw_filters:
col = flt.get('col')
op = flt.get('op')
eq = flt.get('val')
if (
... | def get_filters(cls, raw_filters, num_cols, columns_dict): # noqa
"""Given Superset filter data structure, returns pydruid Filter(s)"""
filters = None
for flt in raw_filters:
col = flt.get('col')
op = flt.get('op')
eq = flt.get('val')
if (
... | [
"Given",
"Superset",
"filter",
"data",
"structure",
"returns",
"pydruid",
"Filter",
"(",
"s",
")"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/druid/models.py#L1361-L1484 | [
"def",
"get_filters",
"(",
"cls",
",",
"raw_filters",
",",
"num_cols",
",",
"columns_dict",
")",
":",
"# noqa",
"filters",
"=",
"None",
"for",
"flt",
"in",
"raw_filters",
":",
"col",
"=",
"flt",
".",
"get",
"(",
"'col'",
")",
"op",
"=",
"flt",
".",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | get_env_variable | Get the environment variable or raise exception. | contrib/docker/superset_config.py | 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...'\... | 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...'\... | [
"Get",
"the",
"environment",
"variable",
"or",
"raise",
"exception",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/contrib/docker/superset_config.py#L20-L30 | [
"def",
"get_env_variable",
"(",
"var_name",
",",
"default",
"=",
"None",
")",
":",
"try",
":",
"return",
"os",
".",
"environ",
"[",
"var_name",
"]",
"except",
"KeyError",
":",
"if",
"default",
"is",
"not",
"None",
":",
"return",
"default",
"else",
":",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ConnectorRegistry.get_eager_datasource | Returns datasource with columns and metrics. | superset/connectors/connector_registry.py | 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... | 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... | [
"Returns",
"datasource",
"with",
"columns",
"and",
"metrics",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/connectors/connector_registry.py#L76-L87 | [
"def",
"get_eager_datasource",
"(",
"cls",
",",
"session",
",",
"datasource_type",
",",
"datasource_id",
")",
":",
"datasource_class",
"=",
"ConnectorRegistry",
".",
"sources",
"[",
"datasource_type",
"]",
"return",
"(",
"session",
".",
"query",
"(",
"datasource_c... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | load_misc_dashboard | Loading a dashboard featuring misc charts | superset/data/misc_dashboard.py | 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": {
"... | 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": {
"... | [
"Loading",
"a",
"dashboard",
"featuring",
"misc",
"charts"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/data/misc_dashboard.py#L32-L228 | [
"def",
"load_misc_dashboard",
"(",
")",
":",
"print",
"(",
"'Creating the dashboard'",
")",
"db",
".",
"session",
".",
"expunge_all",
"(",
")",
"dash",
"=",
"db",
".",
"session",
".",
"query",
"(",
"Dash",
")",
".",
"filter_by",
"(",
"slug",
"=",
"DASH_S... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | load_world_bank_health_n_pop | Loads the world bank health dataset, slices and a dashboard | superset/data/world_bank.py | def load_world_bank_health_n_pop():
"""Loads the world bank health dataset, slices and a dashboard"""
tbl_name = 'wb_health_population'
data = get_example_data('countries.json.gz')
pdf = pd.read_json(data)
pdf.columns = [col.replace('.', '_') for col in pdf.columns]
pdf.year = pd.to_datetime(pdf... | def load_world_bank_health_n_pop():
"""Loads the world bank health dataset, slices and a dashboard"""
tbl_name = 'wb_health_population'
data = get_example_data('countries.json.gz')
pdf = pd.read_json(data)
pdf.columns = [col.replace('.', '_') for col in pdf.columns]
pdf.year = pd.to_datetime(pdf... | [
"Loads",
"the",
"world",
"bank",
"health",
"dataset",
"slices",
"and",
"a",
"dashboard"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/data/world_bank.py#L43-L507 | [
"def",
"load_world_bank_health_n_pop",
"(",
")",
":",
"tbl_name",
"=",
"'wb_health_population'",
"data",
"=",
"get_example_data",
"(",
"'countries.json.gz'",
")",
"pdf",
"=",
"pd",
".",
"read_json",
"(",
"data",
")",
"pdf",
".",
"columns",
"=",
"[",
"col",
"."... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | load_country_map_data | Loading data for map with country map | superset/data/country_map.py | 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... | 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... | [
"Loading",
"data",
"for",
"map",
"with",
"country",
"map"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/data/country_map.py#L35-L110 | [
"def",
"load_country_map_data",
"(",
")",
":",
"csv_bytes",
"=",
"get_example_data",
"(",
"'birth_france_data_for_country_map.csv'",
",",
"is_gzip",
"=",
"False",
",",
"make_bytes",
"=",
"True",
")",
"data",
"=",
"pd",
".",
"read_csv",
"(",
"csv_bytes",
",",
"en... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ParsedQuery.get_statements | Returns a list of SQL statements as strings, stripped | superset/sql_parse.py | 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... | 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... | [
"Returns",
"a",
"list",
"of",
"SQL",
"statements",
"as",
"strings",
"stripped"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/sql_parse.py#L67-L75 | [
"def",
"get_statements",
"(",
"self",
")",
":",
"statements",
"=",
"[",
"]",
"for",
"statement",
"in",
"self",
".",
"_parsed",
":",
"if",
"statement",
":",
"sql",
"=",
"str",
"(",
"statement",
")",
".",
"strip",
"(",
"' \\n;\\t'",
")",
"if",
"sql",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ParsedQuery.as_create_table | 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 table_name: string, will contain the results of the
qu... | superset/sql_parse.py | 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... | 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... | [
"Reformats",
"the",
"query",
"into",
"the",
"create",
"table",
"as",
"query",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/sql_parse.py#L105-L121 | [
"def",
"as_create_table",
"(",
"self",
",",
"table_name",
",",
"overwrite",
"=",
"False",
")",
":",
"exec_sql",
"=",
"''",
"sql",
"=",
"self",
".",
"stripped",
"(",
")",
"if",
"overwrite",
":",
"exec_sql",
"=",
"f'DROP TABLE IF EXISTS {table_name};\\n'",
"exec... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ParsedQuery.get_query_with_new_limit | returns the query with the specified limit | superset/sql_parse.py | 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... | 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... | [
"returns",
"the",
"query",
"with",
"the",
"specified",
"limit"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/sql_parse.py#L166-L189 | [
"def",
"get_query_with_new_limit",
"(",
"self",
",",
"new_limit",
")",
":",
"\"\"\"does not change the underlying query\"\"\"",
"if",
"not",
"self",
".",
"_limit",
":",
"return",
"self",
".",
"sql",
"+",
"' LIMIT '",
"+",
"str",
"(",
"new_limit",
")",
"limit_pos",... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | url_param | 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?foo=bar`. Then if your query is something ... | superset/jinja_context.py | 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... | 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... | [
"Read",
"a",
"url",
"or",
"post",
"parameter",
"and",
"use",
"it",
"in",
"your",
"SQL",
"Lab",
"query"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/jinja_context.py#L44-L70 | [
"def",
"url_param",
"(",
"param",
",",
"default",
"=",
"None",
")",
":",
"if",
"request",
".",
"args",
".",
"get",
"(",
"param",
")",
":",
"return",
"request",
".",
"args",
".",
"get",
"(",
"param",
",",
"default",
")",
"# Supporting POST as well as get"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | filter_values | 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 inside the main query for speed purposes
Thi... | superset/jinja_context.py | 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 ... | 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 ... | [
"Gets",
"a",
"values",
"for",
"a",
"particular",
"filter",
"as",
"a",
"list"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/jinja_context.py#L85-L125 | [
"def",
"filter_values",
"(",
"column",
",",
"default",
"=",
"None",
")",
":",
"form_data",
"=",
"json",
".",
"loads",
"(",
"request",
".",
"form",
".",
"get",
"(",
"'form_data'",
",",
"'{}'",
")",
")",
"return_val",
"=",
"[",
"]",
"for",
"filter_type",... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | BaseTemplateProcessor.process_template | Processes a sql template
>>> sql = "SELECT '{{ datetime(2017, 1, 1).isoformat() }}'"
>>> process_template(sql)
"SELECT '2017-01-01T00:00:00'" | superset/jinja_context.py | 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)
... | 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)
... | [
"Processes",
"a",
"sql",
"template"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/jinja_context.py#L165-L174 | [
"def",
"process_template",
"(",
"self",
",",
"sql",
",",
"*",
"*",
"kwargs",
")",
":",
"template",
"=",
"self",
".",
"env",
".",
"from_string",
"(",
"sql",
")",
"kwargs",
".",
"update",
"(",
"self",
".",
"context",
")",
"return",
"template",
".",
"re... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | get_datasource_info | 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 | superset/views/utils.py | 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... | 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... | [
"Compatibility",
"layer",
"for",
"handling",
"of",
"datasource",
"info"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/utils.py#L170-L186 | [
"def",
"get_datasource_info",
"(",
"datasource_id",
",",
"datasource_type",
",",
"form_data",
")",
":",
"datasource",
"=",
"form_data",
".",
"get",
"(",
"'datasource'",
",",
"''",
")",
"if",
"'__'",
"in",
"datasource",
":",
"datasource_id",
",",
"datasource_type... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetSecurityManager.can_access | Protecting from has_access failing from missing perms/view | superset/security.py | def can_access(self, permission_name, view_name):
"""Protecting from has_access failing from missing perms/view"""
user = g.user
if user.is_anonymous:
return self.is_item_public(permission_name, view_name)
return self._has_view_access(user, permission_name, view_name) | def can_access(self, permission_name, view_name):
"""Protecting from has_access failing from missing perms/view"""
user = g.user
if user.is_anonymous:
return self.is_item_public(permission_name, view_name)
return self._has_view_access(user, permission_name, view_name) | [
"Protecting",
"from",
"has_access",
"failing",
"from",
"missing",
"perms",
"/",
"view"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/security.py#L106-L111 | [
"def",
"can_access",
"(",
"self",
",",
"permission_name",
",",
"view_name",
")",
":",
"user",
"=",
"g",
".",
"user",
"if",
"user",
".",
"is_anonymous",
":",
"return",
"self",
".",
"is_item_public",
"(",
"permission_name",
",",
"view_name",
")",
"return",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetSecurityManager.create_missing_perms | Creates missing perms for datasources, schemas and metrics | superset/security.py | 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... | 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... | [
"Creates",
"missing",
"perms",
"for",
"datasources",
"schemas",
"and",
"metrics"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/security.py#L287-L322 | [
"def",
"create_missing_perms",
"(",
"self",
")",
":",
"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"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetSecurityManager.clean_perms | FAB leaves faulty permissions that need to be cleaned up | superset/security.py | 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... | 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... | [
"FAB",
"leaves",
"faulty",
"permissions",
"that",
"need",
"to",
"be",
"cleaned",
"up"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/security.py#L324-L338 | [
"def",
"clean_perms",
"(",
"self",
")",
":",
"logging",
".",
"info",
"(",
"'Cleaning faulty perms'",
")",
"sesh",
"=",
"self",
".",
"get_session",
"pvms",
"=",
"(",
"sesh",
".",
"query",
"(",
"ab_models",
".",
"PermissionView",
")",
".",
"filter",
"(",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | SupersetSecurityManager.sync_role_definitions | Inits the Superset application with security roles and such | superset/security.py | 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)
... | 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)
... | [
"Inits",
"the",
"Superset",
"application",
"with",
"security",
"roles",
"and",
"such"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/security.py#L340-L361 | [
"def",
"sync_role_definitions",
"(",
"self",
")",
":",
"from",
"superset",
"import",
"conf",
"logging",
".",
"info",
"(",
"'Syncing role definition'",
")",
"self",
".",
"create_custom_permissions",
"(",
")",
"# Creating default roles",
"self",
".",
"set_role",
"(",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | export_schema_to_dict | Exports the supported import/export schema to a dictionary | superset/utils/dict_import_export.py | def export_schema_to_dict(back_references):
"""Exports the supported import/export schema to a dictionary"""
databases = [Database.export_schema(recursive=True,
include_parent_ref=back_references)]
clusters = [DruidCluster.export_schema(recursive=True,
include_parent_ref=bac... | def export_schema_to_dict(back_references):
"""Exports the supported import/export schema to a dictionary"""
databases = [Database.export_schema(recursive=True,
include_parent_ref=back_references)]
clusters = [DruidCluster.export_schema(recursive=True,
include_parent_ref=bac... | [
"Exports",
"the",
"supported",
"import",
"/",
"export",
"schema",
"to",
"a",
"dictionary"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/utils/dict_import_export.py#L28-L39 | [
"def",
"export_schema_to_dict",
"(",
"back_references",
")",
":",
"databases",
"=",
"[",
"Database",
".",
"export_schema",
"(",
"recursive",
"=",
"True",
",",
"include_parent_ref",
"=",
"back_references",
")",
"]",
"clusters",
"=",
"[",
"DruidCluster",
".",
"exp... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | export_to_dict | Exports databases and druid clusters to a dictionary | superset/utils/dict_import_export.py | 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... | 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... | [
"Exports",
"databases",
"and",
"druid",
"clusters",
"to",
"a",
"dictionary"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/utils/dict_import_export.py#L42-L63 | [
"def",
"export_to_dict",
"(",
"session",
",",
"recursive",
",",
"back_references",
",",
"include_defaults",
")",
":",
"logging",
".",
"info",
"(",
"'Starting export'",
")",
"dbs",
"=",
"session",
".",
"query",
"(",
"Database",
")",
"databases",
"=",
"[",
"da... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | import_from_dict | Imports databases and druid clusters from dictionary | superset/utils/dict_import_export.py | 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, [... | 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, [... | [
"Imports",
"databases",
"and",
"druid",
"clusters",
"from",
"dictionary"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/utils/dict_import_export.py#L66-L82 | [
"def",
"import_from_dict",
"(",
"session",
",",
"data",
",",
"sync",
"=",
"[",
"]",
")",
":",
"if",
"isinstance",
"(",
"data",
",",
"dict",
")",
":",
"logging",
".",
"info",
"(",
"'Importing %d %s'",
",",
"len",
"(",
"data",
".",
"get",
"(",
"DATABAS... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Api.query | Takes a query_obj constructed in the client and returns payload data response
for the given query_obj.
params: query_context: json_blob | superset/views/api.py | def query(self):
"""
Takes a query_obj constructed in the client and returns payload data response
for the given query_obj.
params: query_context: json_blob
"""
query_context = QueryContext(**json.loads(request.form.get('query_context')))
security_manager.assert_d... | def query(self):
"""
Takes a query_obj constructed in the client and returns payload data response
for the given query_obj.
params: query_context: json_blob
"""
query_context = QueryContext(**json.loads(request.form.get('query_context')))
security_manager.assert_d... | [
"Takes",
"a",
"query_obj",
"constructed",
"in",
"the",
"client",
"and",
"returns",
"payload",
"data",
"response",
"for",
"the",
"given",
"query_obj",
".",
"params",
":",
"query_context",
":",
"json_blob"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/api.py#L38-L51 | [
"def",
"query",
"(",
"self",
")",
":",
"query_context",
"=",
"QueryContext",
"(",
"*",
"*",
"json",
".",
"loads",
"(",
"request",
".",
"form",
".",
"get",
"(",
"'query_context'",
")",
")",
")",
"security_manager",
".",
"assert_datasource_permission",
"(",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Api.query_form_data | Get the formdata stored in the database for existing slice.
params: slice_id: integer | superset/views/api.py | def query_form_data(self):
"""
Get the formdata stored in the database for existing slice.
params: slice_id: integer
"""
form_data = {}
slice_id = request.args.get('slice_id')
if slice_id:
slc = db.session.query(models.Slice).filter_by(id=slice_id).one... | def query_form_data(self):
"""
Get the formdata stored in the database for existing slice.
params: slice_id: integer
"""
form_data = {}
slice_id = request.args.get('slice_id')
if slice_id:
slc = db.session.query(models.Slice).filter_by(id=slice_id).one... | [
"Get",
"the",
"formdata",
"stored",
"in",
"the",
"database",
"for",
"existing",
"slice",
".",
"params",
":",
"slice_id",
":",
"integer"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/api.py#L58-L72 | [
"def",
"query_form_data",
"(",
"self",
")",
":",
"form_data",
"=",
"{",
"}",
"slice_id",
"=",
"request",
".",
"args",
".",
"get",
"(",
"'slice_id'",
")",
"if",
"slice_id",
":",
"slc",
"=",
"db",
".",
"session",
".",
"query",
"(",
"models",
".",
"Slic... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | load_css_templates | Loads 2 css templates to demonstrate the feature | superset/data/css_templates.py | 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... | 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... | [
"Loads",
"2",
"css",
"templates",
"to",
"demonstrate",
"the",
"feature"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/data/css_templates.py#L23-L119 | [
"def",
"load_css_templates",
"(",
")",
":",
"print",
"(",
"'Creating default CSS templates'",
")",
"obj",
"=",
"db",
".",
"session",
".",
"query",
"(",
"CssTemplate",
")",
".",
"filter_by",
"(",
"template_name",
"=",
"'Flat'",
")",
".",
"first",
"(",
")",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ImportMixin._parent_foreign_key_mappings | Get a mapping of foreign name to the local name of foreign keys | superset/models/helpers.py | 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 {} | 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 {} | [
"Get",
"a",
"mapping",
"of",
"foreign",
"name",
"to",
"the",
"local",
"name",
"of",
"foreign",
"keys"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/helpers.py#L60-L65 | [
"def",
"_parent_foreign_key_mappings",
"(",
"cls",
")",
":",
"parent_rel",
"=",
"cls",
".",
"__mapper__",
".",
"relationships",
".",
"get",
"(",
"cls",
".",
"export_parent",
")",
"if",
"parent_rel",
":",
"return",
"{",
"l",
".",
"name",
":",
"r",
".",
"n... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ImportMixin._unique_constrains | Get all (single column and multi column) unique constraints | superset/models/helpers.py | def _unique_constrains(cls):
"""Get all (single column and multi column) unique constraints"""
unique = [{c.name for c in u.columns} for u in cls.__table_args__
if isinstance(u, UniqueConstraint)]
unique.extend({c.name} for c in cls.__table__.columns if c.unique)
return... | def _unique_constrains(cls):
"""Get all (single column and multi column) unique constraints"""
unique = [{c.name for c in u.columns} for u in cls.__table_args__
if isinstance(u, UniqueConstraint)]
unique.extend({c.name} for c in cls.__table__.columns if c.unique)
return... | [
"Get",
"all",
"(",
"single",
"column",
"and",
"multi",
"column",
")",
"unique",
"constraints"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/helpers.py#L68-L73 | [
"def",
"_unique_constrains",
"(",
"cls",
")",
":",
"unique",
"=",
"[",
"{",
"c",
".",
"name",
"for",
"c",
"in",
"u",
".",
"columns",
"}",
"for",
"u",
"in",
"cls",
".",
"__table_args__",
"if",
"isinstance",
"(",
"u",
",",
"UniqueConstraint",
")",
"]",... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ImportMixin.export_schema | Export schema as a dictionary | superset/models/helpers.py | 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 ... | 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 ... | [
"Export",
"schema",
"as",
"a",
"dictionary"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/helpers.py#L76-L96 | [
"def",
"export_schema",
"(",
"cls",
",",
"recursive",
"=",
"True",
",",
"include_parent_ref",
"=",
"False",
")",
":",
"parent_excludes",
"=",
"{",
"}",
"if",
"not",
"include_parent_ref",
":",
"parent_ref",
"=",
"cls",
".",
"__mapper__",
".",
"relationships",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ImportMixin.import_from_dict | Import obj from a dictionary | superset/models/helpers.py | def import_from_dict(cls, session, dict_rep, parent=None,
recursive=True, sync=[]):
"""Import obj from a dictionary"""
parent_refs = cls._parent_foreign_key_mappings()
export_fields = set(cls.export_fields) | set(parent_refs.keys())
new_children = {c: dict_rep.ge... | def import_from_dict(cls, session, dict_rep, parent=None,
recursive=True, sync=[]):
"""Import obj from a dictionary"""
parent_refs = cls._parent_foreign_key_mappings()
export_fields = set(cls.export_fields) | set(parent_refs.keys())
new_children = {c: dict_rep.ge... | [
"Import",
"obj",
"from",
"a",
"dictionary"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/helpers.py#L99-L184 | [
"def",
"import_from_dict",
"(",
"cls",
",",
"session",
",",
"dict_rep",
",",
"parent",
"=",
"None",
",",
"recursive",
"=",
"True",
",",
"sync",
"=",
"[",
"]",
")",
":",
"parent_refs",
"=",
"cls",
".",
"_parent_foreign_key_mappings",
"(",
")",
"export_field... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ImportMixin.export_to_dict | Export obj to dictionary | superset/models/helpers.py | 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... | 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... | [
"Export",
"obj",
"to",
"dictionary"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/helpers.py#L186-L217 | [
"def",
"export_to_dict",
"(",
"self",
",",
"recursive",
"=",
"True",
",",
"include_parent_ref",
"=",
"False",
",",
"include_defaults",
"=",
"False",
")",
":",
"cls",
"=",
"self",
".",
"__class__",
"parent_excludes",
"=",
"{",
"}",
"if",
"recursive",
"and",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | ImportMixin.override | Overrides the plain fields of the dashboard. | superset/models/helpers.py | def override(self, obj):
"""Overrides the plain fields of the dashboard."""
for field in obj.__class__.export_fields:
setattr(self, field, getattr(obj, field)) | def override(self, obj):
"""Overrides the plain fields of the dashboard."""
for field in obj.__class__.export_fields:
setattr(self, field, getattr(obj, field)) | [
"Overrides",
"the",
"plain",
"fields",
"of",
"the",
"dashboard",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/helpers.py#L219-L222 | [
"def",
"override",
"(",
"self",
",",
"obj",
")",
":",
"for",
"field",
"in",
"obj",
".",
"__class__",
".",
"export_fields",
":",
"setattr",
"(",
"self",
",",
"field",
",",
"getattr",
"(",
"obj",
",",
"field",
")",
")"
] | ca2996c78f679260eb79c6008e276733df5fb653 |
train | update_time_range | Move since and until to time_range. | superset/legacy.py | 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 '',
) | 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 '',
) | [
"Move",
"since",
"and",
"until",
"to",
"time_range",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/legacy.py#L21-L27 | [
"def",
"update_time_range",
"(",
"form_data",
")",
":",
"if",
"'since'",
"in",
"form_data",
"or",
"'until'",
"in",
"form_data",
":",
"form_data",
"[",
"'time_range'",
"]",
"=",
"'{} : {}'",
".",
"format",
"(",
"form_data",
".",
"pop",
"(",
"'since'",
",",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | memoized_func | 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 treated as False by default,
except force = True is passed to the dec... | superset/utils/cache.py | 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... | 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... | [
"Use",
"this",
"decorator",
"to",
"cache",
"functions",
"that",
"have",
"predefined",
"first",
"arg",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/utils/cache.py#L28-L67 | [
"def",
"memoized_func",
"(",
"key",
"=",
"view_cache_key",
",",
"attribute_in_key",
"=",
"None",
")",
":",
"def",
"wrap",
"(",
"f",
")",
":",
"if",
"tables_cache",
":",
"def",
"wrapped_f",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Query.name | Name property | superset/models/sql_lab.py | def name(self):
"""Name property"""
ts = datetime.now().isoformat()
ts = ts.replace('-', '').replace(':', '').split('.')[0]
tab = (self.tab_name.replace(' ', '_').lower()
if self.tab_name else 'notab')
tab = re.sub(r'\W+', '', tab)
return f'sqllab_{tab}_{ts... | def name(self):
"""Name property"""
ts = datetime.now().isoformat()
ts = ts.replace('-', '').replace(':', '').split('.')[0]
tab = (self.tab_name.replace(' ', '_').lower()
if self.tab_name else 'notab')
tab = re.sub(r'\W+', '', tab)
return f'sqllab_{tab}_{ts... | [
"Name",
"property"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/models/sql_lab.py#L132-L139 | [
"def",
"name",
"(",
"self",
")",
":",
"ts",
"=",
"datetime",
".",
"now",
"(",
")",
".",
"isoformat",
"(",
")",
"ts",
"=",
"ts",
".",
"replace",
"(",
"'-'",
",",
"''",
")",
".",
"replace",
"(",
"':'",
",",
"''",
")",
".",
"split",
"(",
"'.'",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | check_datasource_perms | 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. | superset/views/core.py | 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... | 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... | [
"Check",
"if",
"user",
"can",
"access",
"a",
"cached",
"response",
"from",
"explore_json",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L106-L123 | [
"def",
"check_datasource_perms",
"(",
"self",
",",
"datasource_type",
"=",
"None",
",",
"datasource_id",
"=",
"None",
")",
":",
"form_data",
"=",
"get_form_data",
"(",
")",
"[",
"0",
"]",
"datasource_id",
",",
"datasource_type",
"=",
"get_datasource_info",
"(",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | check_slice_perms | 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. | superset/views/core.py | 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... | 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... | [
"Check",
"if",
"user",
"can",
"access",
"a",
"cached",
"response",
"from",
"slice_json",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L126-L143 | [
"def",
"check_slice_perms",
"(",
"self",
",",
"slice_id",
")",
":",
"form_data",
",",
"slc",
"=",
"get_form_data",
"(",
"slice_id",
",",
"use_slice_data",
"=",
"True",
")",
"datasource_type",
"=",
"slc",
".",
"datasource",
".",
"type",
"datasource_id",
"=",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | apply_caching | Applies the configuration's http headers to all responses | superset/views/core.py | 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 | 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 | [
"Applies",
"the",
"configuration",
"s",
"http",
"headers",
"to",
"all",
"responses"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L3017-L3021 | [
"def",
"apply_caching",
"(",
"response",
")",
":",
"for",
"k",
",",
"v",
"in",
"config",
".",
"get",
"(",
"'HTTP_HEADERS'",
")",
".",
"items",
"(",
")",
":",
"response",
".",
"headers",
"[",
"k",
"]",
"=",
"v",
"return",
"response"
] | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.override_role_permissions | 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}',
'database': [{
'datasource_type': '{t... | superset/views/core.py | 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... | 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... | [
"Updates",
"the",
"role",
"with",
"the",
"give",
"datasource",
"permissions",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L862-L911 | [
"def",
"override_role_permissions",
"(",
"self",
")",
":",
"data",
"=",
"request",
".",
"get_json",
"(",
"force",
"=",
"True",
")",
"role_name",
"=",
"data",
"[",
"'role_name'",
"]",
"databases",
"=",
"data",
"[",
"'database'",
"]",
"db_ds_names",
"=",
"se... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.explore_json | 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
payloads based on the request args in the first block
TODO: break... | superset/views/core.py | 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
... | 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
... | [
"Serves",
"all",
"request",
"that",
"GET",
"or",
"POST",
"form_data"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1233-L1265 | [
"def",
"explore_json",
"(",
"self",
",",
"datasource_type",
"=",
"None",
",",
"datasource_id",
"=",
"None",
")",
":",
"csv",
"=",
"request",
".",
"args",
".",
"get",
"(",
"'csv'",
")",
"==",
"'true'",
"query",
"=",
"request",
".",
"args",
".",
"get",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.import_dashboards | Overrides the dashboards using json instances from the file. | superset/views/core.py | 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... | 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... | [
"Overrides",
"the",
"dashboards",
"using",
"json",
"instances",
"from",
"the",
"file",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1270-L1276 | [
"def",
"import_dashboards",
"(",
"self",
")",
":",
"f",
"=",
"request",
".",
"files",
".",
"get",
"(",
"'file'",
")",
"if",
"request",
".",
"method",
"==",
"'POST'",
"and",
"f",
":",
"dashboard_import_export",
".",
"import_dashboards",
"(",
"db",
".",
"s... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.explorev2 | Deprecated endpoint, here for backward compatibility of urls | superset/views/core.py | 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)) | 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)) | [
"Deprecated",
"endpoint",
"here",
"for",
"backward",
"compatibility",
"of",
"urls"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1281-L1287 | [
"def",
"explorev2",
"(",
"self",
",",
"datasource_type",
",",
"datasource_id",
")",
":",
"return",
"redirect",
"(",
"url_for",
"(",
"'Superset.explore'",
",",
"datasource_type",
"=",
"datasource_type",
",",
"datasource_id",
"=",
"datasource_id",
",",
"*",
"*",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.filter | 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: | superset/views/core.py | 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:
""... | 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:
""... | [
"Endpoint",
"to",
"retrieve",
"values",
"for",
"specified",
"column",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1394-L1415 | [
"def",
"filter",
"(",
"self",
",",
"datasource_type",
",",
"datasource_id",
",",
"column",
")",
":",
"# TODO: Cache endpoint by user, datasource and column",
"datasource",
"=",
"ConnectorRegistry",
".",
"get_datasource",
"(",
"datasource_type",
",",
"datasource_id",
",",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.save_or_overwrite_slice | Save or overwrite a slice | superset/views/core.py | 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... | 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... | [
"Save",
"or",
"overwrite",
"a",
"slice"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1417-L1498 | [
"def",
"save_or_overwrite_slice",
"(",
"self",
",",
"args",
",",
"slc",
",",
"slice_add_perm",
",",
"slice_overwrite_perm",
",",
"slice_download_perm",
",",
"datasource_id",
",",
"datasource_type",
",",
"datasource_name",
")",
":",
"slice_name",
"=",
"args",
".",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.checkbox | endpoint for checking/unchecking any boolean in a sqla model | superset/views/core.py | def checkbox(self, model_view, id_, attr, value):
"""endpoint for checking/unchecking any boolean in a sqla model"""
modelview_to_model = {
'{}ColumnInlineView'.format(name.capitalize()): source.column_class
for name, source in ConnectorRegistry.sources.items()
}
... | def checkbox(self, model_view, id_, attr, value):
"""endpoint for checking/unchecking any boolean in a sqla model"""
modelview_to_model = {
'{}ColumnInlineView'.format(name.capitalize()): source.column_class
for name, source in ConnectorRegistry.sources.items()
}
... | [
"endpoint",
"for",
"checking",
"/",
"unchecking",
"any",
"boolean",
"in",
"a",
"sqla",
"model"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1517-L1532 | [
"def",
"checkbox",
"(",
"self",
",",
"model_view",
",",
"id_",
",",
"attr",
",",
"value",
")",
":",
"modelview_to_model",
"=",
"{",
"'{}ColumnInlineView'",
".",
"format",
"(",
"name",
".",
"capitalize",
"(",
")",
")",
":",
"source",
".",
"column_class",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.tables | Endpoint to fetch the list of tables for given database | superset/views/core.py | 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)
... | 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)
... | [
"Endpoint",
"to",
"fetch",
"the",
"list",
"of",
"tables",
"for",
"given",
"database"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1564-L1619 | [
"def",
"tables",
"(",
"self",
",",
"db_id",
",",
"schema",
",",
"substr",
",",
"force_refresh",
"=",
"'false'",
")",
":",
"db_id",
"=",
"int",
"(",
"db_id",
")",
"force_refresh",
"=",
"force_refresh",
".",
"lower",
"(",
")",
"==",
"'true'",
"schema",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.copy_dash | Copy dashboard | superset/views/core.py | def copy_dash(self, dashboard_id):
"""Copy dashboard"""
session = db.session()
data = json.loads(request.form.get('data'))
dash = models.Dashboard()
original_dash = (
session
.query(models.Dashboard)
.filter_by(id=dashboard_id).first())
... | def copy_dash(self, dashboard_id):
"""Copy dashboard"""
session = db.session()
data = json.loads(request.form.get('data'))
dash = models.Dashboard()
original_dash = (
session
.query(models.Dashboard)
.filter_by(id=dashboard_id).first())
... | [
"Copy",
"dashboard"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1624-L1669 | [
"def",
"copy_dash",
"(",
"self",
",",
"dashboard_id",
")",
":",
"session",
"=",
"db",
".",
"session",
"(",
")",
"data",
"=",
"json",
".",
"loads",
"(",
"request",
".",
"form",
".",
"get",
"(",
"'data'",
")",
")",
"dash",
"=",
"models",
".",
"Dashbo... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.save_dash | Save a dashboard's metadata | superset/views/core.py | 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(... | 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(... | [
"Save",
"a",
"dashboard",
"s",
"metadata"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1674-L1686 | [
"def",
"save_dash",
"(",
"self",
",",
"dashboard_id",
")",
":",
"session",
"=",
"db",
".",
"session",
"(",
")",
"dash",
"=",
"(",
"session",
".",
"query",
"(",
"models",
".",
"Dashboard",
")",
".",
"filter_by",
"(",
"id",
"=",
"dashboard_id",
")",
".... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.add_slices | Add and save slices to a dashboard | superset/views/core.py | 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... | 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... | [
"Add",
"and",
"save",
"slices",
"to",
"a",
"dashboard"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1749-L1763 | [
"def",
"add_slices",
"(",
"self",
",",
"dashboard_id",
")",
":",
"data",
"=",
"json",
".",
"loads",
"(",
"request",
".",
"form",
".",
"get",
"(",
"'data'",
")",
")",
"session",
"=",
"db",
".",
"session",
"(",
")",
"Slice",
"=",
"models",
".",
"Slic... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.recent_activity | Recent activity (actions) for a given user | superset/views/core.py | def recent_activity(self, user_id):
"""Recent activity (actions) for a given user"""
M = models # noqa
if request.args.get('limit'):
limit = int(request.args.get('limit'))
else:
limit = 1000
qry = (
db.session.query(M.Log, M.Dashboard, M.Sli... | def recent_activity(self, user_id):
"""Recent activity (actions) for a given user"""
M = models # noqa
if request.args.get('limit'):
limit = int(request.args.get('limit'))
else:
limit = 1000
qry = (
db.session.query(M.Log, M.Dashboard, M.Sli... | [
"Recent",
"activity",
"(",
"actions",
")",
"for",
"a",
"given",
"user"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1826-L1872 | [
"def",
"recent_activity",
"(",
"self",
",",
"user_id",
")",
":",
"M",
"=",
"models",
"# noqa",
"if",
"request",
".",
"args",
".",
"get",
"(",
"'limit'",
")",
":",
"limit",
"=",
"int",
"(",
"request",
".",
"args",
".",
"get",
"(",
"'limit'",
")",
")... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.fave_dashboards_by_username | This lets us use a user's username to pull favourite dashboards | superset/views/core.py | 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()) | 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()) | [
"This",
"lets",
"us",
"use",
"a",
"user",
"s",
"username",
"to",
"pull",
"favourite",
"dashboards"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1900-L1903 | [
"def",
"fave_dashboards_by_username",
"(",
"self",
",",
"username",
")",
":",
"user",
"=",
"security_manager",
".",
"find_user",
"(",
"username",
"=",
"username",
")",
"return",
"self",
".",
"fave_dashboards",
"(",
"user",
".",
"get_id",
"(",
")",
")"
] | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.user_slices | List of slices a user created, or faved | superset/views/core.py | 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... | 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... | [
"List",
"of",
"slices",
"a",
"user",
"created",
"or",
"faved"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L1977-L2010 | [
"def",
"user_slices",
"(",
"self",
",",
"user_id",
"=",
"None",
")",
":",
"if",
"not",
"user_id",
":",
"user_id",
"=",
"g",
".",
"user",
".",
"id",
"Slice",
"=",
"models",
".",
"Slice",
"# noqa",
"FavStar",
"=",
"models",
".",
"FavStar",
"# noqa",
"q... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.created_slices | List of slices created by this user | superset/views/core.py | 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... | 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... | [
"List",
"of",
"slices",
"created",
"by",
"this",
"user"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L2016-L2039 | [
"def",
"created_slices",
"(",
"self",
",",
"user_id",
"=",
"None",
")",
":",
"if",
"not",
"user_id",
":",
"user_id",
"=",
"g",
".",
"user",
".",
"id",
"Slice",
"=",
"models",
".",
"Slice",
"# noqa",
"qry",
"=",
"(",
"db",
".",
"session",
".",
"quer... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.fave_slices | Favorite slices for a user | superset/views/core.py | 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,
... | 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,
... | [
"Favorite",
"slices",
"for",
"a",
"user"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L2045-L2082 | [
"def",
"fave_slices",
"(",
"self",
",",
"user_id",
"=",
"None",
")",
":",
"if",
"not",
"user_id",
":",
"user_id",
"=",
"g",
".",
"user",
".",
"id",
"qry",
"=",
"(",
"db",
".",
"session",
".",
"query",
"(",
"models",
".",
"Slice",
",",
"models",
"... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.warm_up_cache | Warms up the cache for the slice or table.
Note for slices a force refresh occurs. | superset/views/core.py | 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... | 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... | [
"Warms",
"up",
"the",
"cache",
"for",
"the",
"slice",
"or",
"table",
"."
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L2087-L2138 | [
"def",
"warm_up_cache",
"(",
"self",
")",
":",
"slices",
"=",
"None",
"session",
"=",
"db",
".",
"session",
"(",
")",
"slice_id",
"=",
"request",
".",
"args",
".",
"get",
"(",
"'slice_id'",
")",
"table_name",
"=",
"request",
".",
"args",
".",
"get",
... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.favstar | Toggle favorite stars on Slices and Dashboard | superset/views/core.py | 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... | 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... | [
"Toggle",
"favorite",
"stars",
"on",
"Slices",
"and",
"Dashboard"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L2142-L2167 | [
"def",
"favstar",
"(",
"self",
",",
"class_name",
",",
"obj_id",
",",
"action",
")",
":",
"session",
"=",
"db",
".",
"session",
"(",
")",
"FavStar",
"=",
"models",
".",
"FavStar",
"# noqa",
"count",
"=",
"0",
"favs",
"=",
"session",
".",
"query",
"("... | ca2996c78f679260eb79c6008e276733df5fb653 |
train | Superset.dashboard | Server side rendering for a dashboard | superset/views/core.py | 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)
... | 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)
... | [
"Server",
"side",
"rendering",
"for",
"a",
"dashboard"
] | apache/incubator-superset | python | https://github.com/apache/incubator-superset/blob/ca2996c78f679260eb79c6008e276733df5fb653/superset/views/core.py#L2171-L2246 | [
"def",
"dashboard",
"(",
"self",
",",
"dashboard_id",
")",
":",
"session",
"=",
"db",
".",
"session",
"(",
")",
"qry",
"=",
"session",
".",
"query",
"(",
"models",
".",
"Dashboard",
")",
"if",
"dashboard_id",
".",
"isdigit",
"(",
")",
":",
"qry",
"="... | ca2996c78f679260eb79c6008e276733df5fb653 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.