repo stringlengths 7 54 | path stringlengths 4 223 | func_name stringlengths 1 134 | original_string stringlengths 75 104k | language stringclasses 1
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value | summary stringlengths 4 350 | obf_code stringlengths 7.85k 764k |
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/openmetrics/mixins.py | OpenMetricsScraperMixin._get_hostname | def _get_hostname(self, hostname, sample, scraper_config):
"""
If hostname is None, look at label_to_hostname setting
"""
if (
hostname is None
and scraper_config['label_to_hostname'] is not None
and scraper_config['label_to_hostname'] in sample[self.S... | python | def _get_hostname(self, hostname, sample, scraper_config):
"""
If hostname is None, look at label_to_hostname setting
"""
if (
hostname is None
and scraper_config['label_to_hostname'] is not None
and scraper_config['label_to_hostname'] in sample[self.S... | [
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/openmetrics/mixins.py | OpenMetricsScraperMixin._submit_gauges_from_histogram | def _submit_gauges_from_histogram(self, metric_name, metric, scraper_config, hostname=None):
"""
Extracts metrics from a prometheus histogram and sends them as gauges
"""
for sample in metric.samples:
val = sample[self.SAMPLE_VALUE]
if not self._is_value_valid(val... | python | def _submit_gauges_from_histogram(self, metric_name, metric, scraper_config, hostname=None):
"""
Extracts metrics from a prometheus histogram and sends them as gauges
"""
for sample in metric.samples:
val = sample[self.SAMPLE_VALUE]
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DataDog/integrations-core | zk/datadog_checks/zk/zk.py | ZookeeperCheck.parse_stat | def parse_stat(self, buf):
"""
`buf` is a readable file-like object
returns a tuple: (metrics, tags, mode, version)
"""
metrics = []
buf.seek(0)
# Check the version line to make sure we parse the rest of the
# body correctly. Particularly, the Connections... | python | def parse_stat(self, buf):
"""
`buf` is a readable file-like object
returns a tuple: (metrics, tags, mode, version)
"""
metrics = []
buf.seek(0)
# Check the version line to make sure we parse the rest of the
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DataDog/integrations-core | zk/datadog_checks/zk/zk.py | ZookeeperCheck.parse_mntr | def parse_mntr(self, buf):
"""
Parse `mntr` command's content.
`buf` is a readable file-like object
Returns: a tuple (metrics, mode)
if mode == 'inactive', metrics will be None
"""
buf.seek(0)
first = buf.readline() # First is version string or error
... | python | def parse_mntr(self, buf):
"""
Parse `mntr` command's content.
`buf` is a readable file-like object
Returns: a tuple (metrics, mode)
if mode == 'inactive', metrics will be None
"""
buf.seek(0)
first = buf.readline() # First is version string or error
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DataDog/integrations-core | ceph/datadog_checks/ceph/ceph.py | Ceph._osd_pct_used | def _osd_pct_used(self, health):
"""Take a single health check string, return (OSD name, percentage used)"""
# Full string looks like: osd.2 is full at 95%
# Near full string: osd.1 is near full at 94%
pct = re.compile(r'\d+%').findall(health)
osd = re.compile(r'osd.\d+').findall... | python | def _osd_pct_used(self, health):
"""Take a single health check string, return (OSD name, percentage used)"""
# Full string looks like: osd.2 is full at 95%
# Near full string: osd.1 is near full at 94%
pct = re.compile(r'\d+%').findall(health)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.add_son_manipulator | def add_son_manipulator(self, manipulator):
"""Add a new son manipulator to this database.
**DEPRECATED** - `add_son_manipulator` is deprecated.
.. versionchanged:: 3.0
Deprecated add_son_manipulator.
"""
warnings.warn("add_son_manipulator is deprecated",
... | python | def add_son_manipulator(self, manipulator):
"""Add a new son manipulator to this database.
**DEPRECATED** - `add_son_manipulator` is deprecated.
.. versionchanged:: 3.0
Deprecated add_son_manipulator.
"""
warnings.warn("add_son_manipulator is deprecated",
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.incoming_manipulators | def incoming_manipulators(self):
"""**DEPRECATED**: All incoming SON manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.incoming_manipulators() is deprecated",
DeprecationWarning, stacklevel=2)
... | python | def incoming_manipulators(self):
"""**DEPRECATED**: All incoming SON manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.incoming_manipulators() is deprecated",
DeprecationWarning, stacklevel=2)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.incoming_copying_manipulators | def incoming_copying_manipulators(self):
"""**DEPRECATED**: All incoming SON copying manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.incoming_copying_manipulators() is deprecated",
DeprecationWa... | python | def incoming_copying_manipulators(self):
"""**DEPRECATED**: All incoming SON copying manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.incoming_copying_manipulators() is deprecated",
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.outgoing_manipulators | def outgoing_manipulators(self):
"""**DEPRECATED**: All outgoing SON manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.outgoing_manipulators() is deprecated",
DeprecationWarning, stacklevel=2)
... | python | def outgoing_manipulators(self):
"""**DEPRECATED**: All outgoing SON manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.outgoing_manipulators() is deprecated",
DeprecationWarning, stacklevel=2)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.outgoing_copying_manipulators | def outgoing_copying_manipulators(self):
"""**DEPRECATED**: All outgoing SON copying manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.outgoing_copying_manipulators() is deprecated",
DeprecationWa... | python | def outgoing_copying_manipulators(self):
"""**DEPRECATED**: All outgoing SON copying manipulators.
.. versionchanged:: 3.5
Deprecated.
.. versionadded:: 2.0
"""
warnings.warn("Database.outgoing_copying_manipulators() is deprecated",
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.get_collection | def get_collection(self, name, codec_options=None, read_preference=None,
write_concern=None, read_concern=None):
"""Get a :class:`~pymongo.collection.Collection` with the given name
and options.
Useful for creating a :class:`~pymongo.collection.Collection` with
di... | python | def get_collection(self, name, codec_options=None, read_preference=None,
write_concern=None, read_concern=None):
"""Get a :class:`~pymongo.collection.Collection` with the given name
and options.
Useful for creating a :class:`~pymongo.collection.Collection` with
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._collection_default_options | def _collection_default_options(self, name, **kargs):
"""Get a Collection instance with the default settings."""
wc = (self.write_concern
if self.write_concern.acknowledged else WriteConcern())
return self.get_collection(
name, codec_options=DEFAULT_CODEC_OPTIONS,
... | python | def _collection_default_options(self, name, **kargs):
"""Get a Collection instance with the default settings."""
wc = (self.write_concern
if self.write_concern.acknowledged else WriteConcern())
return self.get_collection(
name, codec_options=DEFAULT_CODEC_OPTIONS,
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.create_collection | def create_collection(self, name, codec_options=None,
read_preference=None, write_concern=None,
read_concern=None, **kwargs):
"""Create a new :class:`~pymongo.collection.Collection` in this
database.
Normally collection creation is automatic. ... | python | def create_collection(self, name, codec_options=None,
read_preference=None, write_concern=None,
read_concern=None, **kwargs):
"""Create a new :class:`~pymongo.collection.Collection` in this
database.
Normally collection creation is automatic. ... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._apply_incoming_manipulators | def _apply_incoming_manipulators(self, son, collection):
"""Apply incoming manipulators to `son`."""
for manipulator in self.__incoming_manipulators:
son = manipulator.transform_incoming(son, collection)
return son | python | def _apply_incoming_manipulators(self, son, collection):
"""Apply incoming manipulators to `son`."""
for manipulator in self.__incoming_manipulators:
son = manipulator.transform_incoming(son, collection)
return son | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._apply_incoming_copying_manipulators | def _apply_incoming_copying_manipulators(self, son, collection):
"""Apply incoming copying manipulators to `son`."""
for manipulator in self.__incoming_copying_manipulators:
son = manipulator.transform_incoming(son, collection)
return son | python | def _apply_incoming_copying_manipulators(self, son, collection):
"""Apply incoming copying manipulators to `son`."""
for manipulator in self.__incoming_copying_manipulators:
son = manipulator.transform_incoming(son, collection)
return son | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._fix_incoming | def _fix_incoming(self, son, collection):
"""Apply manipulators to an incoming SON object before it gets stored.
:Parameters:
- `son`: the son object going into the database
- `collection`: the collection the son object is being saved in
"""
son = self._apply_incomin... | python | def _fix_incoming(self, son, collection):
"""Apply manipulators to an incoming SON object before it gets stored.
:Parameters:
- `son`: the son object going into the database
- `collection`: the collection the son object is being saved in
"""
son = self._apply_incomin... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._fix_outgoing | def _fix_outgoing(self, son, collection):
"""Apply manipulators to a SON object as it comes out of the database.
:Parameters:
- `son`: the son object coming out of the database
- `collection`: the collection the son object was saved in
"""
for manipulator in reversed... | python | def _fix_outgoing(self, son, collection):
"""Apply manipulators to a SON object as it comes out of the database.
:Parameters:
- `son`: the son object coming out of the database
- `collection`: the collection the son object was saved in
"""
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._command | def _command(self, sock_info, command, slave_ok=False, value=1, check=True,
allowable_errors=None, read_preference=ReadPreference.PRIMARY,
codec_options=DEFAULT_CODEC_OPTIONS,
write_concern=None,
parse_write_concern_error=False, **kwargs):
"""I... | python | def _command(self, sock_info, command, slave_ok=False, value=1, check=True,
allowable_errors=None, read_preference=ReadPreference.PRIMARY,
codec_options=DEFAULT_CODEC_OPTIONS,
write_concern=None,
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.command | def command(self, command, value=1, check=True,
allowable_errors=None, read_preference=ReadPreference.PRIMARY,
codec_options=DEFAULT_CODEC_OPTIONS, **kwargs):
"""Issue a MongoDB command.
Send command `command` to the database and return the
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allowable_errors=None, read_preference=ReadPreference.PRIMARY,
codec_options=DEFAULT_CODEC_OPTIONS, **kwargs):
"""Issue a MongoDB command.
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._list_collections | def _list_collections(self, sock_info, slave_okay, criteria=None):
"""Internal listCollections helper."""
criteria = criteria or {}
cmd = SON([("listCollections", 1), ("cursor", {})])
if criteria:
cmd["filter"] = criteria
if sock_info.max_wire_version > 2:
... | python | def _list_collections(self, sock_info, slave_okay, criteria=None):
"""Internal listCollections helper."""
criteria = criteria or {}
cmd = SON([("listCollections", 1), ("cursor", {})])
if criteria:
cmd["filter"] = criteria
if sock_info.max_wire_version > 2:
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.collection_names | def collection_names(self, include_system_collections=True):
"""Get a list of all the collection names in this database.
:Parameters:
- `include_system_collections` (optional): if ``False`` list
will not include system collections (e.g ``system.indexes``)
"""
with ... | python | def collection_names(self, include_system_collections=True):
"""Get a list of all the collection names in this database.
:Parameters:
- `include_system_collections` (optional): if ``False`` list
will not include system collections (e.g ``system.indexes``)
"""
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.drop_collection | def drop_collection(self, name_or_collection):
"""Drop a collection.
:Parameters:
- `name_or_collection`: the name of a collection to drop or the
collection object itself
.. note:: The :attr:`~pymongo.database.Database.write_concern` of
this database is automat... | python | def drop_collection(self, name_or_collection):
"""Drop a collection.
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- `name_or_collection`: the name of a collection to drop or the
collection object itself
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.current_op | def current_op(self, include_all=False):
"""Get information on operations currently running.
:Parameters:
- `include_all` (optional): if ``True`` also list currently
idle operations in the result
"""
cmd = SON([("currentOp", 1), ("$all", include_all)])
with... | python | def current_op(self, include_all=False):
"""Get information on operations currently running.
:Parameters:
- `include_all` (optional): if ``True`` also list currently
idle operations in the result
"""
cmd = SON([("currentOp", 1), ("$all", include_all)])
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.error | def error(self):
"""**DEPRECATED**: Get the error if one occurred on the last operation.
This method is obsolete: all MongoDB write operations (insert, update,
remove, and so on) use the write concern ``w=1`` and report their
errors by default.
.. versionchanged:: 2.8
... | python | def error(self):
"""**DEPRECATED**: Get the error if one occurred on the last operation.
This method is obsolete: all MongoDB write operations (insert, update,
remove, and so on) use the write concern ``w=1`` and report their
errors by default.
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.previous_error | def previous_error(self):
"""**DEPRECATED**: Get the most recent error on this database.
This method is obsolete: all MongoDB write operations (insert, update,
remove, and so on) use the write concern ``w=1`` and report their
errors by default.
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._create_or_update_user | def _create_or_update_user(
self, create, name, password, read_only, **kwargs):
"""Use a command to create (if create=True) or modify a user.
"""
opts = {}
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warnings.warn("Creating a user with the read_only option... | python | def _create_or_update_user(
self, create, name, password, read_only, **kwargs):
"""Use a command to create (if create=True) or modify a user.
"""
opts = {}
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database._legacy_add_user | def _legacy_add_user(self, name, password, read_only, **kwargs):
"""Uses v1 system to add users, i.e. saving to system.users.
"""
# Use a Collection with the default codec_options.
system_users = self._collection_default_options('system.users')
user = system_users.find_one({"user... | python | def _legacy_add_user(self, name, password, read_only, **kwargs):
"""Uses v1 system to add users, i.e. saving to system.users.
"""
# Use a Collection with the default codec_options.
system_users = self._collection_default_options('system.users')
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.add_user | def add_user(self, name, password=None, read_only=None, **kwargs):
"""Create user `name` with password `password`.
Add a new user with permissions for this :class:`Database`.
.. note:: Will change the password if user `name` already exists.
:Parameters:
- `name`: the name of... | python | def add_user(self, name, password=None, read_only=None, **kwargs):
"""Create user `name` with password `password`.
Add a new user with permissions for this :class:`Database`.
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.remove_user | def remove_user(self, name):
"""Remove user `name` from this :class:`Database`.
User `name` will no longer have permissions to access this
:class:`Database`.
:Parameters:
- `name`: the name of the user to remove
"""
try:
cmd = SON([("dropUser", nam... | python | def remove_user(self, name):
"""Remove user `name` from this :class:`Database`.
User `name` will no longer have permissions to access this
:class:`Database`.
:Parameters:
- `name`: the name of the user to remove
"""
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.authenticate | def authenticate(self, name=None, password=None,
source=None, mechanism='DEFAULT', **kwargs):
"""**DEPRECATED**: Authenticate to use this database.
Authentication lasts for the life of the underlying client
instance, or until :meth:`logout` is called.
Raises :class... | python | def authenticate(self, name=None, password=None,
source=None, mechanism='DEFAULT', **kwargs):
"""**DEPRECATED**: Authenticate to use this database.
Authentication lasts for the life of the underlying client
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.logout | def logout(self):
"""**DEPRECATED**: Deauthorize use of this database."""
warnings.warn("Database.logout() is deprecated",
DeprecationWarning, stacklevel=2)
# Sockets will be deauthenticated as they are used.
self.client._purge_credentials(self.name) | python | def logout(self):
"""**DEPRECATED**: Deauthorize use of this database."""
warnings.warn("Database.logout() is deprecated",
DeprecationWarning, stacklevel=2)
# Sockets will be deauthenticated as they are used.
self.client._purge_credentials(self.name) | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | Database.eval | def eval(self, code, *args):
"""**DEPRECATED**: Evaluate a JavaScript expression in MongoDB.
:Parameters:
- `code`: string representation of JavaScript code to be
evaluated
- `args` (optional): additional positional arguments are
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"""**DEPRECATED**: Evaluate a JavaScript expression in MongoDB.
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- `args` (optional): additional positional arguments are
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/database.py | SystemJS.list | def list(self):
"""Get a list of the names of the functions stored in this database."""
return [x["_id"] for x in self._db.system.js.find(projection=["_id"])] | python | def list(self):
"""Get a list of the names of the functions stored in this database."""
return [x["_id"] for x in self._db.system.js.find(projection=["_id"])] | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/son_manipulator.py | ObjectIdShuffler.transform_incoming | def transform_incoming(self, son, collection):
"""Move _id to the front if it's there.
"""
if not "_id" in son:
return son
transformed = SON({"_id": son["_id"]})
transformed.update(son)
return transformed | python | def transform_incoming(self, son, collection):
"""Move _id to the front if it's there.
"""
if not "_id" in son:
return son
transformed = SON({"_id": son["_id"]})
transformed.update(son)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/son_manipulator.py | AutoReference.transform_incoming | def transform_incoming(self, son, collection):
"""Replace embedded documents with DBRefs.
"""
def transform_value(value):
if isinstance(value, collections.MutableMapping):
if "_id" in value and "_ns" in value:
return DBRef(value["_ns"], transform_... | python | def transform_incoming(self, son, collection):
"""Replace embedded documents with DBRefs.
"""
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/subprocess.py | run_command | def run_command(command, capture=None, check=False, encoding='utf-8', shell=False, env=None):
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DataDog/integrations-core | hdfs_namenode/datadog_checks/hdfs_namenode/hdfs_namenode.py | HDFSNameNode._hdfs_namenode_metrics | def _hdfs_namenode_metrics(self, beans, metrics, tags):
"""
Get HDFS namenode metrics from JMX
"""
bean = next(iter(beans))
bean_name = bean.get('name')
if bean_name != bean_name:
raise Exception("Unexpected bean name {}".format(bean_name))
for metri... | python | def _hdfs_namenode_metrics(self, beans, metrics, tags):
"""
Get HDFS namenode metrics from JMX
"""
bean = next(iter(beans))
bean_name = bean.get('name')
if bean_name != bean_name:
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DataDog/integrations-core | hdfs_namenode/datadog_checks/hdfs_namenode/hdfs_namenode.py | HDFSNameNode._set_metric | def _set_metric(self, metric_name, metric_type, value, tags=None):
"""
Set a metric
"""
if metric_type == self.GAUGE:
self.gauge(metric_name, value, tags=tags)
else:
self.log.error('Metric type "{}" unknown'.format(metric_type)) | python | def _set_metric(self, metric_name, metric_type, value, tags=None):
"""
Set a metric
"""
if metric_type == self.GAUGE:
self.gauge(metric_name, value, tags=tags)
else:
self.log.error('Metric type "{}" unknown'.format(metric_type)) | [
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DataDog/integrations-core | hdfs_namenode/datadog_checks/hdfs_namenode/hdfs_namenode.py | HDFSNameNode._rest_request_to_json | def _rest_request_to_json(self, instance, url, object_path, query_params, tags=None):
"""
Query the given URL and return the JSON response
"""
if object_path:
url = self._join_url_dir(url, object_path)
# Add query_params as arguments
if query_params:
... | python | def _rest_request_to_json(self, instance, url, object_path, query_params, tags=None):
"""
Query the given URL and return the JSON response
"""
if object_path:
url = self._join_url_dir(url, object_path)
# Add query_params as arguments
if query_params:
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DataDog/integrations-core | hdfs_namenode/datadog_checks/hdfs_namenode/hdfs_namenode.py | HDFSNameNode._join_url_dir | def _join_url_dir(cls, url, *args):
"""
Join a URL with multiple directories
"""
for path in args:
url = url.rstrip('/') + '/'
url = urljoin(url, path.lstrip('/'))
return url | python | def _join_url_dir(cls, url, *args):
"""
Join a URL with multiple directories
"""
for path in args:
url = url.rstrip('/') + '/'
url = urljoin(url, path.lstrip('/'))
return url | [
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] | ebd41c873cf9f97a8c51bf9459bc6a7536af8acd | https://github.com/DataDog/integrations-core/blob/ebd41c873cf9f97a8c51bf9459bc6a7536af8acd/hdfs_namenode/datadog_checks/hdfs_namenode/hdfs_namenode.py#L221-L230 | train | Join a URL with multiple directories | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _maybe_add_read_preference | def _maybe_add_read_preference(spec, read_preference):
"""Add $readPreference to spec when appropriate."""
mode = read_preference.mode
tag_sets = read_preference.tag_sets
max_staleness = read_preference.max_staleness
# Only add $readPreference if it's something other than primary to avoid
# prob... | python | def _maybe_add_read_preference(spec, read_preference):
"""Add $readPreference to spec when appropriate."""
mode = read_preference.mode
tag_sets = read_preference.tag_sets
max_staleness = read_preference.max_staleness
# Only add $readPreference if it's something other than primary to avoid
# prob... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _convert_write_result | def _convert_write_result(operation, command, result):
"""Convert a legacy write result to write commmand format."""
# Based on _merge_legacy from bulk.py
affected = result.get("n", 0)
res = {"ok": 1, "n": affected}
errmsg = result.get("errmsg", result.get("err", ""))
if errmsg:
# The w... | python | def _convert_write_result(operation, command, result):
"""Convert a legacy write result to write commmand format."""
# Based on _merge_legacy from bulk.py
affected = result.get("n", 0)
res = {"ok": 1, "n": affected}
errmsg = result.get("errmsg", result.get("err", ""))
if errmsg:
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _gen_explain_command | def _gen_explain_command(
coll, spec, projection, skip, limit, batch_size,
options, read_concern):
"""Generate an explain command document."""
cmd = _gen_find_command(
coll, spec, projection, skip, limit, batch_size, options)
if read_concern.level:
return SON([('explain', cmd... | python | def _gen_explain_command(
coll, spec, projection, skip, limit, batch_size,
options, read_concern):
"""Generate an explain command document."""
cmd = _gen_find_command(
coll, spec, projection, skip, limit, batch_size, options)
if read_concern.level:
return SON([('explain', cmd... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _gen_find_command | def _gen_find_command(coll, spec, projection, skip, limit, batch_size,
options, read_concern=DEFAULT_READ_CONCERN,
collation=None):
"""Generate a find command document."""
cmd = SON([('find', coll)])
if '$query' in spec:
cmd.update([(_MODIFIERS[key], val) ... | python | def _gen_find_command(coll, spec, projection, skip, limit, batch_size,
options, read_concern=DEFAULT_READ_CONCERN,
collation=None):
"""Generate a find command document."""
cmd = SON([('find', coll)])
if '$query' in spec:
cmd.update([(_MODIFIERS[key], val) ... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _gen_get_more_command | def _gen_get_more_command(cursor_id, coll, batch_size, max_await_time_ms):
"""Generate a getMore command document."""
cmd = SON([('getMore', cursor_id),
('collection', coll)])
if batch_size:
cmd['batchSize'] = batch_size
if max_await_time_ms is not None:
cmd['maxTimeMS'] =... | python | def _gen_get_more_command(cursor_id, coll, batch_size, max_await_time_ms):
"""Generate a getMore command document."""
cmd = SON([('getMore', cursor_id),
('collection', coll)])
if batch_size:
cmd['batchSize'] = batch_size
if max_await_time_ms is not None:
cmd['maxTimeMS'] =... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | __last_error | def __last_error(namespace, args):
"""Data to send to do a lastError.
"""
cmd = SON([("getlasterror", 1)])
cmd.update(args)
splitns = namespace.split('.', 1)
return query(0, splitns[0] + '.$cmd', 0, -1, cmd,
None, DEFAULT_CODEC_OPTIONS) | python | def __last_error(namespace, args):
"""Data to send to do a lastError.
"""
cmd = SON([("getlasterror", 1)])
cmd.update(args)
splitns = namespace.split('.', 1)
return query(0, splitns[0] + '.$cmd', 0, -1, cmd,
None, DEFAULT_CODEC_OPTIONS) | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | __pack_message | def __pack_message(operation, data):
"""Takes message data and adds a message header based on the operation.
Returns the resultant message string.
"""
request_id = _randint()
message = struct.pack("<i", 16 + len(data))
message += struct.pack("<i", request_id)
message += _ZERO_32 # response... | python | def __pack_message(operation, data):
"""Takes message data and adds a message header based on the operation.
Returns the resultant message string.
"""
request_id = _randint()
message = struct.pack("<i", 16 + len(data))
message += struct.pack("<i", request_id)
message += _ZERO_32 # response... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | insert | def insert(collection_name, docs, check_keys,
safe, last_error_args, continue_on_error, opts):
"""Get an **insert** message."""
options = 0
if continue_on_error:
options += 1
data = struct.pack("<i", options)
data += bson._make_c_string(collection_name)
encoded = [bson.BSON.en... | python | def insert(collection_name, docs, check_keys,
safe, last_error_args, continue_on_error, opts):
"""Get an **insert** message."""
options = 0
if continue_on_error:
options += 1
data = struct.pack("<i", options)
data += bson._make_c_string(collection_name)
encoded = [bson.BSON.en... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | update | def update(collection_name, upsert, multi,
spec, doc, safe, last_error_args, check_keys, opts):
"""Get an **update** message.
"""
options = 0
if upsert:
options += 1
if multi:
options += 2
data = _ZERO_32
data += bson._make_c_string(collection_name)
data += st... | python | def update(collection_name, upsert, multi,
spec, doc, safe, last_error_args, check_keys, opts):
"""Get an **update** message.
"""
options = 0
if upsert:
options += 1
if multi:
options += 2
data = _ZERO_32
data += bson._make_c_string(collection_name)
data += st... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | query | def query(options, collection_name, num_to_skip,
num_to_return, query, field_selector, opts, check_keys=False):
"""Get a **query** message.
"""
data = struct.pack("<I", options)
data += bson._make_c_string(collection_name)
data += struct.pack("<i", num_to_skip)
data += struct.pack("<i"... | python | def query(options, collection_name, num_to_skip,
num_to_return, query, field_selector, opts, check_keys=False):
"""Get a **query** message.
"""
data = struct.pack("<I", options)
data += bson._make_c_string(collection_name)
data += struct.pack("<i", num_to_skip)
data += struct.pack("<i"... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | delete | def delete(collection_name, spec, safe,
last_error_args, opts, flags=0):
"""Get a **delete** message.
`opts` is a CodecOptions. `flags` is a bit vector that may contain
the SingleRemove flag or not:
http://docs.mongodb.org/meta-driver/latest/legacy/mongodb-wire-protocol/#op-delete
"""
... | python | def delete(collection_name, spec, safe,
last_error_args, opts, flags=0):
"""Get a **delete** message.
`opts` is a CodecOptions. `flags` is a bit vector that may contain
the SingleRemove flag or not:
http://docs.mongodb.org/meta-driver/latest/legacy/mongodb-wire-protocol/#op-delete
"""
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | kill_cursors | def kill_cursors(cursor_ids):
"""Get a **killCursors** message.
"""
data = _ZERO_32
data += struct.pack("<i", len(cursor_ids))
for cursor_id in cursor_ids:
data += struct.pack("<q", cursor_id)
return __pack_message(2007, data) | python | def kill_cursors(cursor_ids):
"""Get a **killCursors** message.
"""
data = _ZERO_32
data += struct.pack("<i", len(cursor_ids))
for cursor_id in cursor_ids:
data += struct.pack("<q", cursor_id)
return __pack_message(2007, data) | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _do_batched_write_command | def _do_batched_write_command(namespace, operation, command,
docs, check_keys, opts, ctx):
"""Execute a batch of insert, update, or delete commands.
"""
max_bson_size = ctx.max_bson_size
max_write_batch_size = ctx.max_write_batch_size
# Max BSON object size + 16k - 2 by... | python | def _do_batched_write_command(namespace, operation, command,
docs, check_keys, opts, ctx):
"""Execute a batch of insert, update, or delete commands.
"""
max_bson_size = ctx.max_bson_size
max_write_batch_size = ctx.max_write_batch_size
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _Query.as_command | def as_command(self):
"""Return a find command document for this query.
Should be called *after* get_message.
"""
if '$explain' in self.spec:
self.name = 'explain'
return _gen_explain_command(
self.coll, self.spec, self.fields, self.ntoskip,
... | python | def as_command(self):
"""Return a find command document for this query.
Should be called *after* get_message.
"""
if '$explain' in self.spec:
self.name = 'explain'
return _gen_explain_command(
self.coll, self.spec, self.fields, self.ntoskip,
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _Query.get_message | def get_message(self, set_slave_ok, is_mongos, use_cmd=False):
"""Get a query message, possibly setting the slaveOk bit."""
if set_slave_ok:
# Set the slaveOk bit.
flags = self.flags | 4
else:
flags = self.flags
ns = _UJOIN % (self.db, self.coll)
... | python | def get_message(self, set_slave_ok, is_mongos, use_cmd=False):
"""Get a query message, possibly setting the slaveOk bit."""
if set_slave_ok:
# Set the slaveOk bit.
flags = self.flags | 4
else:
flags = self.flags
ns = _UJOIN % (self.db, self.coll)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _GetMore.as_command | def as_command(self):
"""Return a getMore command document for this query."""
return _gen_get_more_command(self.cursor_id, self.coll,
self.ntoreturn,
self.max_await_time_ms), self.db | python | def as_command(self):
"""Return a getMore command document for this query."""
return _gen_get_more_command(self.cursor_id, self.coll,
self.ntoreturn,
self.max_await_time_ms), self.db | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _GetMore.get_message | def get_message(self, dummy0, dummy1, use_cmd=False):
"""Get a getmore message."""
ns = _UJOIN % (self.db, self.coll)
if use_cmd:
ns = _UJOIN % (self.db, "$cmd")
spec = self.as_command()[0]
return query(0, ns, 0, -1, spec, None, self.codec_options)
... | python | def get_message(self, dummy0, dummy1, use_cmd=False):
"""Get a getmore message."""
ns = _UJOIN % (self.db, self.coll)
if use_cmd:
ns = _UJOIN % (self.db, "$cmd")
spec = self.as_command()[0]
return query(0, ns, 0, -1, spec, None, self.codec_options)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _BulkWriteContext.legacy_write | def legacy_write(self, request_id, msg, max_doc_size, acknowledged, docs):
"""A proxy for SocketInfo.legacy_write that handles event publishing.
"""
if self.publish:
duration = datetime.datetime.now() - self.start_time
cmd = self._start(request_id, docs)
start... | python | def legacy_write(self, request_id, msg, max_doc_size, acknowledged, docs):
"""A proxy for SocketInfo.legacy_write that handles event publishing.
"""
if self.publish:
duration = datetime.datetime.now() - self.start_time
cmd = self._start(request_id, docs)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _BulkWriteContext.write_command | def write_command(self, request_id, msg, docs):
"""A proxy for SocketInfo.write_command that handles event publishing.
"""
if self.publish:
duration = datetime.datetime.now() - self.start_time
self._start(request_id, docs)
start = datetime.datetime.now()
... | python | def write_command(self, request_id, msg, docs):
"""A proxy for SocketInfo.write_command that handles event publishing.
"""
if self.publish:
duration = datetime.datetime.now() - self.start_time
self._start(request_id, docs)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _BulkWriteContext._start | def _start(self, request_id, docs):
"""Publish a CommandStartedEvent."""
cmd = self.command.copy()
cmd[self.field] = docs
self.listeners.publish_command_start(
cmd, self.db_name,
request_id, self.sock_info.address, self.op_id)
return cmd | python | def _start(self, request_id, docs):
"""Publish a CommandStartedEvent."""
cmd = self.command.copy()
cmd[self.field] = docs
self.listeners.publish_command_start(
cmd, self.db_name,
request_id, self.sock_info.address, self.op_id)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _BulkWriteContext._succeed | def _succeed(self, request_id, reply, duration):
"""Publish a CommandSucceededEvent."""
self.listeners.publish_command_success(
duration, reply, self.name,
request_id, self.sock_info.address, self.op_id) | python | def _succeed(self, request_id, reply, duration):
"""Publish a CommandSucceededEvent."""
self.listeners.publish_command_success(
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/message.py | _BulkWriteContext._fail | def _fail(self, request_id, failure, duration):
"""Publish a CommandFailedEvent."""
self.listeners.publish_command_failure(
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"""Publish a CommandFailedEvent."""
self.listeners.publish_command_failure(
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/objectid.py | _machine_bytes | def _machine_bytes():
"""Get the machine portion of an ObjectId.
"""
machine_hash = hashlib.md5()
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# gethostname() returns a unicode string in python 3.x
# while update() requires a byte string.
machine_hash.update(socket.gethostname().encode())
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# Calling... | python | def _machine_bytes():
"""Get the machine portion of an ObjectId.
"""
machine_hash = hashlib.md5()
if PY3:
# gethostname() returns a unicode string in python 3.x
# while update() requires a byte string.
machine_hash.update(socket.gethostname().encode())
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/objectid.py | ObjectId.from_datetime | def from_datetime(cls, generation_time):
"""Create a dummy ObjectId instance with a specific generation time.
This method is useful for doing range queries on a field
containing :class:`ObjectId` instances.
.. warning::
It is not safe to insert a document containing an Objec... | python | def from_datetime(cls, generation_time):
"""Create a dummy ObjectId instance with a specific generation time.
This method is useful for doing range queries on a field
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.. warning::
It is not safe to insert a document containing an Objec... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/objectid.py | ObjectId.is_valid | def is_valid(cls, oid):
"""Checks if a `oid` string is valid or not.
:Parameters:
- `oid`: the object id to validate
.. versionadded:: 2.3
"""
if not oid:
return False
try:
ObjectId(oid)
return True
except (InvalidI... | python | def is_valid(cls, oid):
"""Checks if a `oid` string is valid or not.
:Parameters:
- `oid`: the object id to validate
.. versionadded:: 2.3
"""
if not oid:
return False
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ObjectId(oid)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/objectid.py | ObjectId.__generate | def __generate(self):
"""Generate a new value for this ObjectId.
"""
# 4 bytes current time
oid = struct.pack(">i", int(time.time()))
# 3 bytes machine
oid += ObjectId._machine_bytes
# 2 bytes pid
oid += struct.pack(">H", os.getpid() % 0xFFFF)
... | python | def __generate(self):
"""Generate a new value for this ObjectId.
"""
# 4 bytes current time
oid = struct.pack(">i", int(time.time()))
# 3 bytes machine
oid += ObjectId._machine_bytes
# 2 bytes pid
oid += struct.pack(">H", os.getpid() % 0xFFFF)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/objectid.py | ObjectId.__validate | def __validate(self, oid):
"""Validate and use the given id for this ObjectId.
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in python 3), ObjectId) and InvalidId if it is not a
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"""Validate and use the given id for this ObjectId.
Raises TypeError if id is not an instance of
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in python 3), ObjectId) and InvalidId if it is not a
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._get_master_address | def _get_master_address(self, instance):
"""
Get the master address from the instance configuration
"""
master_address = instance.get(MASTER_ADDRESS)
if master_address is None:
master_address = instance.get(DEPRECATED_MASTER_ADDRESS)
if master_address:
... | python | def _get_master_address(self, instance):
"""
Get the master address from the instance configuration
"""
master_address = instance.get(MASTER_ADDRESS)
if master_address is None:
master_address = instance.get(DEPRECATED_MASTER_ADDRESS)
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._get_request_url | def _get_request_url(self, instance, url):
"""
Get the request address, build with proxy if necessary
"""
parsed = urlparse(url)
_url = url
if not (parsed.netloc and parsed.scheme) and is_affirmative(instance.get('spark_proxy_enabled', False)):
master_address... | python | def _get_request_url(self, instance, url):
"""
Get the request address, build with proxy if necessary
"""
parsed = urlparse(url)
_url = url
if not (parsed.netloc and parsed.scheme) and is_affirmative(instance.get('spark_proxy_enabled', False)):
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._get_running_apps | def _get_running_apps(self, instance, requests_config):
"""
Determine what mode was specified
"""
tags = instance.get('tags', [])
if tags is None:
tags = []
master_address = self._get_master_address(instance)
# Get the cluster name from the instance co... | python | def _get_running_apps(self, instance, requests_config):
"""
Determine what mode was specified
"""
tags = instance.get('tags', [])
if tags is None:
tags = []
master_address = self._get_master_address(instance)
# Get the cluster name from the instance co... | [
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._standalone_init | def _standalone_init(self, spark_master_address, pre_20_mode, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for the running Spark applications
"""
metrics_json = self._rest_request_to_json(
spark_master_address, SPARK_MASTER_STATE_PATH,... | python | def _standalone_init(self, spark_master_address, pre_20_mode, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for the running Spark applications
"""
metrics_json = self._rest_request_to_json(
spark_master_address, SPARK_MASTER_STATE_PATH,... | [
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._mesos_init | def _mesos_init(self, instance, master_address, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for running Spark applications.
"""
running_apps = {}
metrics_json = self._rest_request_to_json(
master_address, MESOS_MASTER_APP_PAT... | python | def _mesos_init(self, instance, master_address, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for running Spark applications.
"""
running_apps = {}
metrics_json = self._rest_request_to_json(
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._yarn_init | def _yarn_init(self, rm_address, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for running Spark applications.
"""
running_apps = self._yarn_get_running_spark_apps(rm_address, requests_config, tags)
# Report success after gathering all met... | python | def _yarn_init(self, rm_address, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for running Spark applications.
"""
running_apps = self._yarn_get_running_spark_apps(rm_address, requests_config, tags)
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._get_standalone_app_url | def _get_standalone_app_url(self, app_id, spark_master_address, requests_config, tags):
"""
Return the application URL from the app info page on the Spark master.
Due to a bug, we need to parse the HTML manually because we cannot
fetch JSON data from HTTP interface.
"""
a... | python | def _get_standalone_app_url(self, app_id, spark_master_address, requests_config, tags):
"""
Return the application URL from the app info page on the Spark master.
Due to a bug, we need to parse the HTML manually because we cannot
fetch JSON data from HTTP interface.
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._yarn_get_running_spark_apps | def _yarn_get_running_spark_apps(self, rm_address, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for running Spark applications.
The `app_id` returned is that of the YARN application. This will eventually be mapped into
a Spark application ID.
... | python | def _yarn_get_running_spark_apps(self, rm_address, requests_config, tags):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for running Spark applications.
The `app_id` returned is that of the YARN application. This will eventually be mapped into
a Spark application ID.
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._get_spark_app_ids | def _get_spark_app_ids(self, running_apps, requests_config, tags):
"""
Traverses the Spark application master in YARN to get a Spark application ID.
Return a dictionary of {app_id: (app_name, tracking_url)} for Spark applications
"""
spark_apps = {}
for app_id, (app_name... | python | def _get_spark_app_ids(self, running_apps, requests_config, tags):
"""
Traverses the Spark application master in YARN to get a Spark application ID.
Return a dictionary of {app_id: (app_name, tracking_url)} for Spark applications
"""
spark_apps = {}
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._spark_job_metrics | def _spark_job_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each Spark job.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
base_url = self._get_request_url(instance, tracking_url)
response = self._re... | python | def _spark_job_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each Spark job.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
base_url = self._get_request_url(instance, tracking_url)
response = self._re... | [
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._spark_executor_metrics | def _spark_executor_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each Spark executor.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
base_url = self._get_request_url(instance, tracking_url)
response ... | python | def _spark_executor_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each Spark executor.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
base_url = self._get_request_url(instance, tracking_url)
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._spark_rdd_metrics | def _spark_rdd_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each Spark RDD.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
base_url = self._get_request_url(instance, tracking_url)
response = self._re... | python | def _spark_rdd_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each Spark RDD.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
base_url = self._get_request_url(instance, tracking_url)
response = self._re... | [
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._spark_streaming_statistics_metrics | def _spark_streaming_statistics_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each application streaming statistics.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
try:
base_url = self._get_request... | python | def _spark_streaming_statistics_metrics(self, instance, running_apps, addl_tags, requests_config):
"""
Get metrics for each application streaming statistics.
"""
for app_id, (app_name, tracking_url) in iteritems(running_apps):
try:
base_url = self._get_request... | [
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._set_metric | def _set_metric(self, metric_name, metric_type, value, tags=None):
"""
Set a metric
"""
if tags is None:
tags = []
if metric_type == GAUGE:
self.gauge(metric_name, value, tags=tags)
elif metric_type == COUNT:
self.count(metric_name, val... | python | def _set_metric(self, metric_name, metric_type, value, tags=None):
"""
Set a metric
"""
if tags is None:
tags = []
if metric_type == GAUGE:
self.gauge(metric_name, value, tags=tags)
elif metric_type == COUNT:
self.count(metric_name, val... | [
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._rest_request | def _rest_request(self, url, object_path, service_name, requests_config, tags, *args, **kwargs):
"""
Query the given URL and return the response
"""
service_check_tags = ['url:%s' % self._get_url_base(url)] + tags
if object_path:
url = self._join_url_dir(url, object_... | python | def _rest_request(self, url, object_path, service_name, requests_config, tags, *args, **kwargs):
"""
Query the given URL and return the response
"""
service_check_tags = ['url:%s' % self._get_url_base(url)] + tags
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._rest_request_to_json | def _rest_request_to_json(self, address, object_path, service_name, requests_config, tags, *args, **kwargs):
"""
Query the given URL and return the JSON response
"""
response = self._rest_request(address, object_path, service_name, requests_config, tags, *args, **kwargs)
try:
... | python | def _rest_request_to_json(self, address, object_path, service_name, requests_config, tags, *args, **kwargs):
"""
Query the given URL and return the JSON response
"""
response = self._rest_request(address, object_path, service_name, requests_config, tags, *args, **kwargs)
try:
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DataDog/integrations-core | spark/datadog_checks/spark/spark.py | SparkCheck._get_url_base | def _get_url_base(cls, url):
"""
Return the base of a URL
"""
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return urlunsplit([s.scheme, s.netloc, '', '', '']) | python | def _get_url_base(cls, url):
"""
Return the base of a URL
"""
s = urlsplit(url)
return urlunsplit([s.scheme, s.netloc, '', '', '']) | [
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DataDog/integrations-core | cisco_aci/datadog_checks/cisco_aci/helpers.py | parse_capacity_tags | def parse_capacity_tags(dn):
"""
This parses tags from a dn designator. They look like this:
topology/pod-1/node-101/sys/phys-[eth1/6]/CDeqptMacsectxpkts5min
"""
tags = []
pod = get_pod_from_dn(dn)
if pod:
tags.append("fabric_pod_id:{}".format(pod))
node = get_node_from_dn(dn)
... | python | def parse_capacity_tags(dn):
"""
This parses tags from a dn designator. They look like this:
topology/pod-1/node-101/sys/phys-[eth1/6]/CDeqptMacsectxpkts5min
"""
tags = []
pod = get_pod_from_dn(dn)
if pod:
tags.append("fabric_pod_id:{}".format(pod))
node = get_node_from_dn(dn)
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DataDog/integrations-core | cisco_aci/datadog_checks/cisco_aci/helpers.py | get_event_tags_from_dn | def get_event_tags_from_dn(dn):
"""
This grabs the event tags from the dn designator. They look like this:
uni/tn-DataDog/ap-DtDg-AP1-EcommerceApp/epg-DtDg-Ecomm/HDl2IngrPktsAg1h
"""
tags = []
node = get_node_from_dn(dn)
if node:
tags.append("node:" + node)
app = get_app_from_dn(... | python | def get_event_tags_from_dn(dn):
"""
This grabs the event tags from the dn designator. They look like this:
uni/tn-DataDog/ap-DtDg-AP1-EcommerceApp/epg-DtDg-Ecomm/HDl2IngrPktsAg1h
"""
tags = []
node = get_node_from_dn(dn)
if node:
tags.append("node:" + node)
app = get_app_from_dn(... | [
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DataDog/integrations-core | cisco_aci/datadog_checks/cisco_aci/helpers.py | get_hostname_from_dn | def get_hostname_from_dn(dn):
"""
This parses the hostname from a dn designator. They look like this:
topology/pod-1/node-101/sys/phys-[eth1/6]/CDeqptMacsectxpkts5min
"""
pod = get_pod_from_dn(dn)
node = get_node_from_dn(dn)
if pod and node:
return "pod-{}-node-{}".format(pod, node)
... | python | def get_hostname_from_dn(dn):
"""
This parses the hostname from a dn designator. They look like this:
topology/pod-1/node-101/sys/phys-[eth1/6]/CDeqptMacsectxpkts5min
"""
pod = get_pod_from_dn(dn)
node = get_node_from_dn(dn)
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DataDog/integrations-core | cisco_aci/datadog_checks/cisco_aci/helpers.py | get_attributes | def get_attributes(obj):
"""
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...
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DataDog/integrations-core | cisco_aci/datadog_checks/cisco_aci/helpers.py | check_metric_can_be_zero | def check_metric_can_be_zero(metric_name, metric_value, json_attributes):
"""
When a counter is reset, don't send a zero because it will look bad on the graphs
This checks if the zero makes sense or not
"""
if "last" in metric_name.lower():
return True
if not metric_value:
return... | python | def check_metric_can_be_zero(metric_name, metric_value, json_attributes):
"""
When a counter is reset, don't send a zero because it will look bad on the graphs
This checks if the zero makes sense or not
"""
if "last" in metric_name.lower():
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] | ebd41c873cf9f97a8c51bf9459bc6a7536af8acd | https://github.com/DataDog/integrations-core/blob/ebd41c873cf9f97a8c51bf9459bc6a7536af8acd/cisco_aci/datadog_checks/cisco_aci/helpers.py#L193-L210 | train | Check if a metric value is zero | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/create.py | create | def create(ctx, name, integration_type, location, non_interactive, quiet, dry_run):
"""Create scaffolding for a new integration."""
repo_choice = ctx.obj['repo_choice']
root = resolve_path(location) if location else get_root()
path_sep = os.path.sep
integration_dir = os.path.join(root, normalize_pa... | python | def create(ctx, name, integration_type, location, non_interactive, quiet, dry_run):
"""Create scaffolding for a new integration."""
repo_choice = ctx.obj['repo_choice']
root = resolve_path(location) if location else get_root()
path_sep = os.path.sep
integration_dir = os.path.join(root, normalize_pa... | [
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/utils/containers.py | freeze | def freeze(o):
"""
Freezes any mutable object including dictionaries and lists for hashing.
Accepts nested dictionaries.
"""
if isinstance(o, (tuple, list)):
return tuple(sorted(freeze(e) for e in o))
if isinstance(o, dict):
return tuple(sorted((k, freeze(v)) for k, v in iterite... | python | def freeze(o):
"""
Freezes any mutable object including dictionaries and lists for hashing.
Accepts nested dictionaries.
"""
if isinstance(o, (tuple, list)):
return tuple(sorted(freeze(e) for e in o))
if isinstance(o, dict):
return tuple(sorted((k, freeze(v)) for k, v in iterite... | [
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/decimal128.py | _decimal_to_128 | def _decimal_to_128(value):
"""Converts a decimal.Decimal to BID (high bits, low bits).
:Parameters:
- `value`: An instance of decimal.Decimal
"""
with decimal.localcontext(_DEC128_CTX) as ctx:
value = ctx.create_decimal(value)
if value.is_infinite():
return _NINF if value.is... | python | def _decimal_to_128(value):
"""Converts a decimal.Decimal to BID (high bits, low bits).
:Parameters:
- `value`: An instance of decimal.Decimal
"""
with decimal.localcontext(_DEC128_CTX) as ctx:
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/decimal128.py | Decimal128.to_decimal | def to_decimal(self):
"""Returns an instance of :class:`decimal.Decimal` for this
:class:`Decimal128`.
"""
high = self.__high
low = self.__low
sign = 1 if (high & _SIGN) else 0
if (high & _SNAN) == _SNAN:
return decimal.Decimal((sign, (), 'N'))
... | python | def to_decimal(self):
"""Returns an instance of :class:`decimal.Decimal` for this
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"""
high = self.__high
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sign = 1 if (high & _SIGN) else 0
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/decimal128.py | Decimal128.from_bid | def from_bid(cls, value):
"""Create an instance of :class:`Decimal128` from Binary Integer
Decimal string.
:Parameters:
- `value`: 16 byte string (128-bit IEEE 754-2008 decimal floating
point in Binary Integer Decimal (BID) format).
"""
if not isinstance(va... | python | def from_bid(cls, value):
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DataDog/integrations-core | ibm_mq/datadog_checks/ibm_mq/config.py | IBMMQConfig._compile_tag_re | def _compile_tag_re(self):
"""
Compile regex strings from queue_tag_re option and return list of compiled regex/tag pairs
"""
queue_tag_list = []
for regex_str, tags in iteritems(self._queue_tag_re):
try:
queue_tag_list.append([re.compile(regex_str), [... | python | def _compile_tag_re(self):
"""
Compile regex strings from queue_tag_re option and return list of compiled regex/tag pairs
"""
queue_tag_list = []
for regex_str, tags in iteritems(self._queue_tag_re):
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/ismaster.py | _get_server_type | def _get_server_type(doc):
"""Determine the server type from an ismaster response."""
if not doc.get('ok'):
return SERVER_TYPE.Unknown
if doc.get('isreplicaset'):
return SERVER_TYPE.RSGhost
elif doc.get('setName'):
if doc.get('hidden'):
return SERVER_TYPE.RSOther
... | python | def _get_server_type(doc):
"""Determine the server type from an ismaster response."""
if not doc.get('ok'):
return SERVER_TYPE.Unknown
if doc.get('isreplicaset'):
return SERVER_TYPE.RSGhost
elif doc.get('setName'):
if doc.get('hidden'):
return SERVER_TYPE.RSOther
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/ismaster.py | IsMaster.all_hosts | def all_hosts(self):
"""List of hosts, passives, and arbiters known to this server."""
return set(imap(common.clean_node, itertools.chain(
self._doc.get('hosts', []),
self._doc.get('passives', []),
self._doc.get('arbiters', [])))) | python | def all_hosts(self):
"""List of hosts, passives, and arbiters known to this server."""
return set(imap(common.clean_node, itertools.chain(
self._doc.get('hosts', []),
self._doc.get('passives', []),
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DataDog/integrations-core | gitlab_runner/datadog_checks/gitlab_runner/gitlab_runner.py | GitlabRunnerCheck._create_gitlab_runner_prometheus_instance | def _create_gitlab_runner_prometheus_instance(self, instance, init_config):
"""
Set up the gitlab_runner instance so it can be used in OpenMetricsBaseCheck
"""
# Mapping from Prometheus metrics names to Datadog ones
# For now it's a 1:1 mapping
allowed_metrics = init_conf... | python | def _create_gitlab_runner_prometheus_instance(self, instance, init_config):
"""
Set up the gitlab_runner instance so it can be used in OpenMetricsBaseCheck
"""
# Mapping from Prometheus metrics names to Datadog ones
# For now it's a 1:1 mapping
allowed_metrics = init_conf... | [
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DataDog/integrations-core | hdfs_datanode/datadog_checks/hdfs_datanode/hdfs_datanode.py | HDFSDataNode._get_jmx_data | def _get_jmx_data(self, instance, jmx_address, tags):
"""
Get namenode beans data from JMX endpoint
"""
response = self._rest_request_to_json(
instance, jmx_address, self.JMX_PATH, {'qry': self.HDFS_DATANODE_BEAN_NAME}, tags=tags
)
beans = response.get('beans'... | python | def _get_jmx_data(self, instance, jmx_address, tags):
"""
Get namenode beans data from JMX endpoint
"""
response = self._rest_request_to_json(
instance, jmx_address, self.JMX_PATH, {'qry': self.HDFS_DATANODE_BEAN_NAME}, tags=tags
)
beans = response.get('beans'... | [
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DataDog/integrations-core | hdfs_datanode/datadog_checks/hdfs_datanode/hdfs_datanode.py | HDFSDataNode._hdfs_datanode_metrics | def _hdfs_datanode_metrics(self, beans, tags):
"""
Process HDFS Datanode metrics from given beans
"""
# Only get the first bean
bean = next(iter(beans))
bean_name = bean.get('name')
self.log.debug("Bean name retrieved: {}".format(bean_name))
for metric, ... | python | def _hdfs_datanode_metrics(self, beans, tags):
"""
Process HDFS Datanode metrics from given beans
"""
# Only get the first bean
bean = next(iter(beans))
bean_name = bean.get('name')
self.log.debug("Bean name retrieved: {}".format(bean_name))
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