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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/agent/requirements.py | requirements | def requirements(ctx):
"""Write the `requirements-agent-release.txt` file at the root of the repo
listing all the Agent-based integrations pinned at the version they currently
have in HEAD.
"""
echo_info('Freezing check releases')
checks = get_valid_checks()
checks.remove('datadog_checks_dev... | python | def requirements(ctx):
"""Write the `requirements-agent-release.txt` file at the root of the repo
listing all the Agent-based integrations pinned at the version they currently
have in HEAD.
"""
echo_info('Freezing check releases')
checks = get_valid_checks()
checks.remove('datadog_checks_dev... | [
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. | 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 | nginx/datadog_checks/nginx/nginx.py | Nginx._nest_payload | def _nest_payload(self, keys, payload):
"""
Nest a payload in a dict under the keys contained in `keys`
"""
if len(keys) == 0:
return payload
return {keys[0]: self._nest_payload(keys[1:], payload)} | python | def _nest_payload(self, keys, payload):
"""
Nest a payload in a dict under the keys contained in `keys`
"""
if len(keys) == 0:
return payload
return {keys[0]: self._nest_payload(keys[1:], payload)} | [
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DataDog/integrations-core | nginx/datadog_checks/nginx/nginx.py | Nginx._flatten_json | def _flatten_json(cls, metric_base, val, tags):
"""
Recursively flattens the nginx json object. Returns the following: [(metric_name, value, tags)]
"""
output = []
if isinstance(val, dict):
# Pull out the server as a tag instead of trying to read as a metric
... | python | def _flatten_json(cls, metric_base, val, tags):
"""
Recursively flattens the nginx json object. Returns the following: [(metric_name, value, tags)]
"""
output = []
if isinstance(val, dict):
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/agent/common.py | get_agent_tags | def get_agent_tags(since, to):
"""
Return a list of tags from integrations-core representing an Agent release,
sorted by more recent first.
"""
agent_tags = sorted(parse_version_info(t) for t in git_tag_list(r'^\d+\.\d+\.\d+$'))
# default value for `to` is the latest tag
if to:
to =... | python | def get_agent_tags(since, to):
"""
Return a list of tags from integrations-core representing an Agent release,
sorted by more recent first.
"""
agent_tags = sorted(parse_version_info(t) for t in git_tag_list(r'^\d+\.\d+\.\d+$'))
# default value for `to` is the latest tag
if to:
to =... | [
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/run.py | run | def run(ctx, args):
"""Run commands in the proper repo."""
if not args:
click.echo(ctx.get_help())
return
with chdir(get_root()):
result = run_command(args)
ctx.exit(result.code) | python | def run(ctx, args):
"""Run commands in the proper repo."""
if not args:
click.echo(ctx.get_help())
return
with chdir(get_root()):
result = run_command(args)
ctx.exit(result.code) | [
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DataDog/integrations-core | teamcity/datadog_checks/teamcity/teamcity.py | TeamCityCheck._normalize_server_url | def _normalize_server_url(self, server):
"""
Check if the server URL starts with a HTTP or HTTPS scheme, fall back to http if not present
"""
server = server if server.startswith(("http://", "https://")) else "http://{}".format(server)
return server | python | def _normalize_server_url(self, server):
"""
Check if the server URL starts with a HTTP or HTTPS scheme, fall back to http if not present
"""
server = server if server.startswith(("http://", "https://")) else "http://{}".format(server)
return server | [
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DataDog/integrations-core | elastic/datadog_checks/elastic/elastic.py | ESCheck._get_es_version | def _get_es_version(self, config):
"""
Get the running version of elasticsearch.
"""
try:
data = self._get_data(config.url, config, send_sc=False)
# pre-release versions of elasticearch are suffixed with -rcX etc..
# peel that off so that the map below... | python | def _get_es_version(self, config):
"""
Get the running version of elasticsearch.
"""
try:
data = self._get_data(config.url, config, send_sc=False)
# pre-release versions of elasticearch are suffixed with -rcX etc..
# peel that off so that the map below... | [
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DataDog/integrations-core | elastic/datadog_checks/elastic/elastic.py | ESCheck._join_url | def _join_url(self, base, url, admin_forwarder=False):
"""
overrides `urlparse.urljoin` since it removes base url path
https://docs.python.org/2/library/urlparse.html#urlparse.urljoin
"""
if admin_forwarder:
return base + url
else:
return urljoin(b... | python | def _join_url(self, base, url, admin_forwarder=False):
"""
overrides `urlparse.urljoin` since it removes base url path
https://docs.python.org/2/library/urlparse.html#urlparse.urljoin
"""
if admin_forwarder:
return base + url
else:
return urljoin(b... | [
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DataDog/integrations-core | elastic/datadog_checks/elastic/elastic.py | ESCheck._get_urls | def _get_urls(self, version, cluster_stats):
"""
Compute the URLs we need to hit depending on the running ES version
"""
pshard_stats_url = "/_stats"
health_url = "/_cluster/health"
if version >= [0, 90, 10]:
pending_tasks_url = "/_cluster/pending_tasks"
... | python | def _get_urls(self, version, cluster_stats):
"""
Compute the URLs we need to hit depending on the running ES version
"""
pshard_stats_url = "/_stats"
health_url = "/_cluster/health"
if version >= [0, 90, 10]:
pending_tasks_url = "/_cluster/pending_tasks"
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DataDog/integrations-core | elastic/datadog_checks/elastic/elastic.py | ESCheck._get_data | def _get_data(self, url, config, send_sc=True):
"""
Hit a given URL and return the parsed json
"""
# Load basic authentication configuration, if available.
if config.username and config.password:
auth = (config.username, config.password)
else:
auth... | python | def _get_data(self, url, config, send_sc=True):
"""
Hit a given URL and return the parsed json
"""
# Load basic authentication configuration, if available.
if config.username and config.password:
auth = (config.username, config.password)
else:
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DataDog/integrations-core | elastic/datadog_checks/elastic/elastic.py | ESCheck._process_metric | def _process_metric(self, data, metric, xtype, path, xform=None, tags=None, hostname=None):
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data: dictionary containing all the stats
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/utils/limiter.py | Limiter.reset | def reset(self):
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Resets state and uid set. To be called asap to free memory
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Resets state and uid set. To be called asap to free memory
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/utils/limiter.py | Limiter.is_reached | def is_reached(self, uid=None):
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DataDog/integrations-core | kafka_consumer/datadog_checks/kafka_consumer/kafka_consumer.py | KafkaCheck._get_broker_offsets | def _get_broker_offsets(self, instance, topics):
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DataDog/integrations-core | kafka_consumer/datadog_checks/kafka_consumer/kafka_consumer.py | KafkaCheck._get_zk_path_children | def _get_zk_path_children(self, zk_conn, zk_path, name_for_error):
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children = []
try:
children = zk_conn.get_children(zk_path)
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self.log.info('No zookeeper node at %s', zk_path)
except ... | python | def _get_zk_path_children(self, zk_conn, zk_path, name_for_error):
"""Fetch child nodes for a given Zookeeper path."""
children = []
try:
children = zk_conn.get_children(zk_path)
except NoNodeError:
self.log.info('No zookeeper node at %s', zk_path)
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DataDog/integrations-core | kafka_consumer/datadog_checks/kafka_consumer/kafka_consumer.py | KafkaCheck._get_zk_consumer_offsets | def _get_zk_consumer_offsets(self, zk_hosts_ports, consumer_groups=None, zk_prefix=''):
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Also fetch consumer_groups, topics, and partitions if not
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DataDog/integrations-core | kafka_consumer/datadog_checks/kafka_consumer/kafka_consumer.py | KafkaCheck._get_kafka_consumer_offsets | def _get_kafka_consumer_offsets(self, instance, consumer_groups):
"""
retrieve consumer offsets via the new consumer api. Offsets in this version are stored directly
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"""
consumer_offsets = {}
topics = defaultdic... | python | def _get_kafka_consumer_offsets(self, instance, consumer_groups):
"""
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DataDog/integrations-core | kafka_consumer/datadog_checks/kafka_consumer/kafka_consumer.py | KafkaCheck._validate_explicit_consumer_groups | def _validate_explicit_consumer_groups(cls, val):
"""Validate any explicitly specified consumer groups.
While the check does not require specifying consumer groups,
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val = {'consumer_group': {'topic': [0, 1]}}
""... | python | def _validate_explicit_consumer_groups(cls, val):
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val = {'consumer_group': {'topic': [0, 1]}}
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DataDog/integrations-core | kafka_consumer/datadog_checks/kafka_consumer/kafka_consumer.py | KafkaCheck._send_event | def _send_event(self, title, text, tags, event_type, aggregation_key, severity='info'):
"""Emit an event to the Datadog Event Stream."""
event_dict = {
'timestamp': int(time()),
'source_type_name': self.SOURCE_TYPE_NAME,
'msg_title': title,
'event_type': e... | python | def _send_event(self, title, text, tags, event_type, aggregation_key, severity='info'):
"""Emit an event to the Datadog Event Stream."""
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/dep.py | display_package_changes | def display_package_changes(pre_packages, post_packages, indent=''):
"""
Print packages that've been added, removed or changed
"""
# use package name to determine what's changed
pre_package_names = {p.name: p for p in pre_packages}
post_package_names = {p.name: p for p in post_packages}
add... | python | def display_package_changes(pre_packages, post_packages, indent=''):
"""
Print packages that've been added, removed or changed
"""
# use package name to determine what's changed
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post_package_names = {p.name: p for p in post_packages}
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/dep.py | resolve | def resolve(checks, lazy, quiet):
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"""Resolve transient dependencies for any number of checks.
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/dep.py | pin | def pin(package, version, checks, marker, resolving, lazy, quiet):
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/dep.py | freeze | def freeze():
"""Combine all dependencies for the Agent's static environment."""
echo_waiting('Verifying collected packages...')
catalog, errors = make_catalog()
if errors:
for error in errors:
echo_failure(error)
abort()
static_file = get_agent_requirements()
echo_... | python | def freeze():
"""Combine all dependencies for the Agent's static environment."""
echo_waiting('Verifying collected packages...')
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/env/reload.py | reload_env | def reload_env(check, env):
"""Restart an Agent to detect environment changes."""
envs = get_configured_envs(check)
if not envs:
echo_failure('No active environments found for `{}`.'.format(check))
echo_info('See what is available to start via `ddev env ls {}`.'.format(check))
abort(... | python | def reload_env(check, env):
"""Restart an Agent to detect environment changes."""
envs = get_configured_envs(check)
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echo_failure('No active environments found for `{}`.'.format(check))
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DataDog/integrations-core | gitlab/datadog_checks/gitlab/gitlab.py | GitlabCheck._create_gitlab_prometheus_instance | def _create_gitlab_prometheus_instance(self, instance, init_config):
"""
Set up the gitlab 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_config.get('allowe... | python | def _create_gitlab_prometheus_instance(self, instance, init_config):
"""
Set up the gitlab instance so it can be used in OpenMetricsBaseCheck
"""
# Mapping from Prometheus metrics names to Datadog ones
# For now it's a 1:1 mapping
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/base_check.py | PrometheusScraper._submit_gauge | def _submit_gauge(self, metric_name, val, metric, custom_tags=None, hostname=None):
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Submit a metric as a gauge, additional tags provided will be added to
the ones from the label provided via the metrics object.
`custom_tags` is an array of 'tag:value' that will be added to the
... | python | def _submit_gauge(self, metric_name, val, metric, custom_tags=None, hostname=None):
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/read_preferences.py | _validate_tag_sets | def _validate_tag_sets(tag_sets):
"""Validate tag sets for a MongoReplicaSetClient.
"""
if tag_sets is None:
return tag_sets
if not isinstance(tag_sets, list):
raise TypeError((
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if len(tag_sets) == 0:
raise Va... | python | def _validate_tag_sets(tag_sets):
"""Validate tag sets for a MongoReplicaSetClient.
"""
if tag_sets is None:
return tag_sets
if not isinstance(tag_sets, list):
raise TypeError((
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/read_preferences.py | _validate_max_staleness | def _validate_max_staleness(max_staleness):
"""Validate max_staleness."""
if max_staleness == -1:
return -1
if not isinstance(max_staleness, integer_types):
raise TypeError(_invalid_max_staleness_msg(max_staleness))
if max_staleness <= 0:
raise ValueError(_invalid_max_staleness... | python | def _validate_max_staleness(max_staleness):
"""Validate max_staleness."""
if max_staleness == -1:
return -1
if not isinstance(max_staleness, integer_types):
raise TypeError(_invalid_max_staleness_msg(max_staleness))
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/read_preferences.py | _ServerMode.document | def document(self):
"""Read preference as a document.
"""
doc = {'mode': self.__mongos_mode}
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if self.__max_staleness != -1:
doc['maxStalenessSeconds'] = self.__max_staleness
retu... | python | def document(self):
"""Read preference as a document.
"""
doc = {'mode': self.__mongos_mode}
if self.__tag_sets not in (None, [{}]):
doc['tags'] = self.__tag_sets
if self.__max_staleness != -1:
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/validate/config.py | config | def config(check):
"""Validate default configuration files."""
if check:
checks = [check]
else:
checks = sorted(get_valid_checks())
files_failed = {}
files_warned = {}
num_files = 0
echo_waiting('Validating default configuration files...')
for check in checks:
c... | python | def config(check):
"""Validate default configuration files."""
if check:
checks = [check]
else:
checks = sorted(get_valid_checks())
files_failed = {}
files_warned = {}
num_files = 0
echo_waiting('Validating default configuration files...')
for check in checks:
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DataDog/integrations-core | ibm_mq/datadog_checks/ibm_mq/ibm_mq.py | IbmMqCheck.queue_manager_stats | def queue_manager_stats(self, queue_manager, tags):
"""
Get stats from the queue manager
"""
for mname, pymqi_value in iteritems(metrics.queue_manager_metrics()):
try:
m = queue_manager.inquire(pymqi_value)
mname = '{}.queue_manager.{}'.format... | python | def queue_manager_stats(self, queue_manager, tags):
"""
Get stats from the queue manager
"""
for mname, pymqi_value in iteritems(metrics.queue_manager_metrics()):
try:
m = queue_manager.inquire(pymqi_value)
mname = '{}.queue_manager.{}'.format... | [
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DataDog/integrations-core | ibm_mq/datadog_checks/ibm_mq/ibm_mq.py | IbmMqCheck.queue_stats | def queue_stats(self, queue, tags):
"""
Grab stats from queues
"""
for mname, pymqi_value in iteritems(metrics.queue_metrics()):
try:
mname = '{}.queue.{}'.format(self.METRIC_PREFIX, mname)
m = queue.inquire(pymqi_value)
self.ga... | python | def queue_stats(self, queue, tags):
"""
Grab stats from queues
"""
for mname, pymqi_value in iteritems(metrics.queue_metrics()):
try:
mname = '{}.queue.{}'.format(self.METRIC_PREFIX, mname)
m = queue.inquire(pymqi_value)
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/utils.py | get_version_string | def get_version_string(check_name):
"""
Get the version string for the given check.
"""
version = VERSION.search(read_version_file(check_name))
if version:
return version.group(1) | python | def get_version_string(check_name):
"""
Get the version string for the given check.
"""
version = VERSION.search(read_version_file(check_name))
if version:
return version.group(1) | [
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/utils.py | load_manifest | def load_manifest(check_name):
"""
Load the manifest file into a dictionary
"""
manifest_path = os.path.join(get_root(), check_name, 'manifest.json')
if file_exists(manifest_path):
return json.loads(read_file(manifest_path))
return {} | python | def load_manifest(check_name):
"""
Load the manifest file into a dictionary
"""
manifest_path = os.path.join(get_root(), check_name, 'manifest.json')
if file_exists(manifest_path):
return json.loads(read_file(manifest_path))
return {} | [
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/utils.py | parse_agent_req_file | def parse_agent_req_file(contents):
"""
Returns a dictionary mapping {check-package-name --> pinned_version} from the
given file contents. We can assume lines are in the form:
datadog-active-directory==1.1.1; sys_platform == 'win32'
"""
catalog = OrderedDict()
for line in contents.spli... | python | def parse_agent_req_file(contents):
"""
Returns a dictionary mapping {check-package-name --> pinned_version} from the
given file contents. We can assume lines are in the form:
datadog-active-directory==1.1.1; sys_platform == 'win32'
"""
catalog = OrderedDict()
for line in contents.spli... | [
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DataDog/integrations-core | mysql/datadog_checks/mysql/mysql.py | MySql._collect_dict | def _collect_dict(self, metric_type, field_metric_map, query, db, tags):
"""
Query status and get a dictionary back.
Extract each field out of the dictionary
and stuff it in the corresponding metric.
query: show status...
field_metric_map: {"Seconds_behind_master": "mysq... | python | def _collect_dict(self, metric_type, field_metric_map, query, db, tags):
"""
Query status and get a dictionary back.
Extract each field out of the dictionary
and stuff it in the corresponding metric.
query: show status...
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DataDog/integrations-core | mysql/datadog_checks/mysql/mysql.py | MySql._get_pid_file_variable | def _get_pid_file_variable(self, db):
"""
Get the `pid_file` variable
"""
pid_file = None
try:
with closing(db.cursor()) as cursor:
cursor.execute("SHOW VARIABLES LIKE 'pid_file'")
pid_file = cursor.fetchone()[1]
except Exceptio... | python | def _get_pid_file_variable(self, db):
"""
Get the `pid_file` variable
"""
pid_file = None
try:
with closing(db.cursor()) as cursor:
cursor.execute("SHOW VARIABLES LIKE 'pid_file'")
pid_file = cursor.fetchone()[1]
except Exceptio... | [
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DataDog/integrations-core | mysql/datadog_checks/mysql/mysql.py | MySql._get_slave_status | def _get_slave_status(self, db, above_560, nonblocking):
"""
Retrieve the slaves' statuses using:
1. The `performance_schema.threads` table. Non-blocking, requires version > 5.6.0
2. The `information_schema.processlist` table. Blocking
"""
try:
with closing(db... | python | def _get_slave_status(self, db, above_560, nonblocking):
"""
Retrieve the slaves' statuses using:
1. The `performance_schema.threads` table. Non-blocking, requires version > 5.6.0
2. The `information_schema.processlist` table. Blocking
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try:
with closing(db... | [
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._parse_general_counters | def _parse_general_counters(self, init_config):
"""
Return a dictionary for each job counter
{
counter_group_name: [
counter_name
]
}
}
"""
job_counter = {}
if init_config.get('general_counters'):
# Parse... | python | def _parse_general_counters(self, init_config):
"""
Return a dictionary for each job counter
{
counter_group_name: [
counter_name
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}
}
"""
job_counter = {}
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._parse_job_specific_counters | def _parse_job_specific_counters(self, init_config):
"""
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"""
Return a dictionary for each job counter
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._get_running_app_ids | def _get_running_app_ids(self, rm_address, auth, ssl_verify):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for the running MapReduce applications
"""
metrics_json = self._rest_request_to_json(
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ssl_verify,
... | python | def _get_running_app_ids(self, rm_address, auth, ssl_verify):
"""
Return a dictionary of {app_id: (app_name, tracking_url)} for the running MapReduce applications
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._mapreduce_job_metrics | def _mapreduce_job_metrics(self, running_apps, auth, ssl_verify, addl_tags):
"""
Get metrics for each MapReduce job.
Return a dictionary for each MapReduce job
{
job_id: {
'job_name': job_name,
'app_name': app_name,
'user_name': user_name,
... | python | def _mapreduce_job_metrics(self, running_apps, auth, ssl_verify, addl_tags):
"""
Get metrics for each MapReduce job.
Return a dictionary for each MapReduce job
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job_id: {
'job_name': job_name,
'app_name': app_name,
'user_name': user_name,
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._mapreduce_job_counters_metrics | def _mapreduce_job_counters_metrics(self, running_jobs, auth, ssl_verify, addl_tags):
"""
Get custom metrics specified for each counter
"""
for job_metrics in itervalues(running_jobs):
job_name = job_metrics['job_name']
# Check if the job_name exist in the custom... | python | def _mapreduce_job_counters_metrics(self, running_jobs, auth, ssl_verify, addl_tags):
"""
Get custom metrics specified for each counter
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._mapreduce_task_metrics | def _mapreduce_task_metrics(self, running_jobs, auth, ssl_verify, addl_tags):
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Get metrics for each MapReduce task
Return a dictionary of {task_id: 'tracking_url'} for each MapReduce task
"""
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"""
Get metrics for each MapReduce task
Return a dictionary of {task_id: 'tracking_url'} for each MapReduce task
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._set_metrics_from_json | def _set_metrics_from_json(self, metrics_json, metrics, tags):
"""
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for status, (metric_name, metric_type) in iteritems(metrics):
metric_status = metrics_json.get(status)
if metric_status is not None:
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"""
Parse the JSON response and set the metrics
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._set_metric | def _set_metric(self, metric_name, metric_type, value, tags=None, device_name=None):
"""
Set a metric
"""
if metric_type == self.HISTOGRAM:
self.histogram(metric_name, value, tags=tags, device_name=device_name)
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self.incr... | python | def _set_metric(self, metric_name, metric_type, value, tags=None, device_name=None):
"""
Set a metric
"""
if metric_type == self.HISTOGRAM:
self.histogram(metric_name, value, tags=tags, device_name=device_name)
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DataDog/integrations-core | mapreduce/datadog_checks/mapreduce/mapreduce.py | MapReduceCheck._rest_request_to_json | def _rest_request_to_json(self, address, auth, ssl_verify, object_path, service_name, tags=None, *args, **kwargs):
"""
Query the given URL and return the JSON response
"""
response_json = None
tags = [] if tags is None else tags
service_check_tags = ['url:{}'.format(self... | python | def _rest_request_to_json(self, address, auth, ssl_verify, object_path, service_name, tags=None, *args, **kwargs):
"""
Query the given URL and return the JSON response
"""
response_json = None
tags = [] if tags is None else tags
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DataDog/integrations-core | agent_metrics/datadog_checks/agent_metrics/agent_metrics.py | AgentMetrics._psutil_config_to_stats | def _psutil_config_to_stats(self, instance):
"""
Reads `init_config` for `psutil` methods to call on the current process
Calls those methods and stores the raw output
:returns a dictionary of statistic_name: value
"""
process_metrics = instance.get('process_metrics', sel... | python | def _psutil_config_to_stats(self, instance):
"""
Reads `init_config` for `psutil` methods to call on the current process
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:returns a dictionary of statistic_name: value
"""
process_metrics = instance.get('process_metrics', sel... | [
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DataDog/integrations-core | agent_metrics/datadog_checks/agent_metrics/agent_metrics.py | AgentMetrics._register_psutil_metrics | def _register_psutil_metrics(self, stats, names_to_metric_types, tags=None):
"""
Saves sample metrics from psutil
:param stats: a dictionary that looks like:
{
'memory_info': OrderedDict([('rss', 24395776), ('vms', 144666624)]),
'io_counters': OrderedDict([('read_count... | python | def _register_psutil_metrics(self, stats, names_to_metric_types, tags=None):
"""
Saves sample metrics from psutil
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/docker.py | get_container_ip | def get_container_ip(container_id_or_name):
"""Get a Docker container's IP address from its id or name."""
command = [
'docker',
'inspect',
'-f',
'{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}',
container_id_or_name,
]
return run_command(command, captu... | python | def get_container_ip(container_id_or_name):
"""Get a Docker container's IP address from its id or name."""
command = [
'docker',
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'-f',
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/docker.py | docker_run | def docker_run(
compose_file=None,
build=False,
service_name=None,
up=None,
down=None,
sleep=None,
endpoints=None,
log_patterns=None,
conditions=None,
env_vars=None,
wrapper=None,
):
"""This utility provides a convenient way to safely set up and tear down Docker environme... | python | def docker_run(
compose_file=None,
build=False,
service_name=None,
up=None,
down=None,
sleep=None,
endpoints=None,
log_patterns=None,
conditions=None,
env_vars=None,
wrapper=None,
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/bson/dbref.py | DBRef.as_doc | def as_doc(self):
"""Get the SON document representation of this DBRef.
Generally not needed by application developers
"""
doc = SON([("$ref", self.collection),
("$id", self.id)])
if self.database is not None:
doc["$db"] = self.database
doc... | python | def as_doc(self):
"""Get the SON document representation of this DBRef.
Generally not needed by application developers
"""
doc = SON([("$ref", self.collection),
("$id", self.id)])
if self.database is not None:
doc["$db"] = self.database
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DataDog/integrations-core | vsphere/datadog_checks/vsphere/cache_config.py | CacheConfig.clear | def clear(self):
"""
Reset the config object to its initial state
"""
with self._lock:
self._config = {
CacheConfig.Morlist: {'last': defaultdict(float), 'intl': {}},
CacheConfig.Metadata: {'last': defaultdict(float), 'intl': {}},
} | python | def clear(self):
"""
Reset the config object to its initial state
"""
with self._lock:
self._config = {
CacheConfig.Morlist: {'last': defaultdict(float), 'intl': {}},
CacheConfig.Metadata: {'last': defaultdict(float), 'intl': {}},
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DataDog/integrations-core | vsphere/datadog_checks/vsphere/cache_config.py | CacheConfig.get_last | def get_last(self, type_, key):
"""
Notice: this will return the defaultdict default value also for keys
that are not in the configuration, this is a tradeoff to keep the code simple.
"""
self._check_type(type_)
with self._lock:
return self._config[type_]['las... | python | def get_last(self, type_, key):
"""
Notice: this will return the defaultdict default value also for keys
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self._check_type(type_)
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DataDog/integrations-core | http_check/datadog_checks/http_check/utils.py | _get_ca_certs_paths | def _get_ca_certs_paths():
"""
Get a list of possible paths containing certificates
Check is installed via pip to:
* Windows: embedded/lib/site-packages/datadog_checks/http_check
* Linux: embedded/lib/python2.7/site-packages/datadog_checks/http_check
Certificate is installed to:
* embed... | python | def _get_ca_certs_paths():
"""
Get a list of possible paths containing certificates
Check is installed via pip to:
* Windows: embedded/lib/site-packages/datadog_checks/http_check
* Linux: embedded/lib/python2.7/site-packages/datadog_checks/http_check
Certificate is installed to:
* embed... | [
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/commands/validate/logos.py | logos | def logos(check):
"""Validate logo files. Specifying no check will validate all logos"""
valid_checks = get_valid_integrations()
if check:
if check in valid_checks:
checks = [check]
else:
echo_info('{} is not an integration.'.format(check))
return
el... | python | def logos(check):
"""Validate logo files. Specifying no check will validate all logos"""
valid_checks = get_valid_integrations()
if check:
if check in valid_checks:
checks = [check]
else:
echo_info('{} is not an integration.'.format(check))
return
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DataDog/integrations-core | varnish/datadog_checks/varnish/varnish.py | Varnish._parse_varnishstat | def _parse_varnishstat(self, output, varnishstat_format, tags=None):
"""
The text option (-1) is not reliable enough when counters get large.
VBE.media_video_prd_services_01(10.93.67.16,,8080).happy18446744073709551615
2 types of data, "a" for counter ("c" in newer versions of varnish),... | python | def _parse_varnishstat(self, output, varnishstat_format, tags=None):
"""
The text option (-1) is not reliable enough when counters get large.
VBE.media_video_prd_services_01(10.93.67.16,,8080).happy18446744073709551615
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DataDog/integrations-core | varnish/datadog_checks/varnish/varnish.py | Varnish._parse_varnishadm | def _parse_varnishadm(self, output, tags):
""" Parse out service checks from varnishadm.
Example output:
Backend b0 is Sick
Current states good: 2 threshold: 3 window: 5
Average responsetime of good probes: 0.000000
Oldest ... | python | def _parse_varnishadm(self, output, tags):
""" Parse out service checks from varnishadm.
Example output:
Backend b0 is Sick
Current states good: 2 threshold: 3 window: 5
Average responsetime of good probes: 0.000000
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Example output:
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Average responsetime of good probes: 0.000000
Oldest Newest
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin.parse_metric_family | def parse_metric_family(self, response):
"""
Parse the MetricFamily from a valid requests.Response object to provide a MetricFamily object (see [0])
The text format uses iter_lines() generator.
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"""
Parse the MetricFamily from a valid requests.Response object to provide a MetricFamily object (see [0])
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin._text_filter_input | def _text_filter_input(self, input_gen):
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin.get_metric_value_by_labels | def get_metric_value_by_labels(messages, _metric, _m, metric_suffix):
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"""
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin._extract_metric_from_map | def _extract_metric_from_map(self, _m, messages, obj_map, obj_help):
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Extracts MetricFamily objects from the maps generated by parsing the
strings in _extract_metrics_from_string
"""
_obj = metrics_pb2.MetricFamily()
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"""
Extracts MetricFamily objects from the maps generated by parsing the
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin.scrape_metrics | def scrape_metrics(self, endpoint):
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Poll the data from prometheus and return the metrics as a generator.
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response = self.poll(endpoint)
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# no dry run if no label joins
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"""
Poll the data from prometheus and return the metrics as a generator.
"""
response = self.poll(endpoint)
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin.process | def process(self, endpoint, **kwargs):
"""
Polls the data from prometheus and pushes them as gauges
`endpoint` is the metrics endpoint to use to poll metrics from Prometheus
Note that if the instance has a 'tags' attribute, it will be pushed
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"""
Polls the data from prometheus and pushes them as gauges
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin.process_metric | def process_metric(self, message, **kwargs):
"""
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"""
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin.poll | def poll(self, endpoint, pFormat=PrometheusFormat.PROTOBUF, headers=None):
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Polls the metrics from the prometheus metrics endpoint provided.
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"""
Polls the metrics from the prometheus metrics endpoint provided.
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin._submit | def _submit(
self,
metric_name,
message,
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send_monotonic_counter=False,
custom_tags=None,
hostname=None,
):
"""
For each metric in the message, report it as a gauge with all labels as tags
except if a labels... | python | def _submit(
self,
metric_name,
message,
send_histograms_buckets=True,
send_monotonic_counter=False,
custom_tags=None,
hostname=None,
):
"""
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin._get_hostname | def _get_hostname(self, hostname, metric):
"""
If hostname is None, look at label_to_hostname setting
"""
if hostname is None and self.label_to_hostname is not None:
for label in metric.label:
if label.name == self.label_to_hostname:
return... | python | def _get_hostname(self, hostname, metric):
"""
If hostname is None, look at label_to_hostname setting
"""
if hostname is None and self.label_to_hostname is not None:
for label in metric.label:
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin._submit_gauges_from_summary | def _submit_gauges_from_summary(self, name, metric, custom_tags=None, hostname=None):
"""
Extracts metrics from a prometheus summary metric and sends them as gauges
"""
if custom_tags is None:
custom_tags = []
# summaries do not have a value attribute
val = ge... | python | def _submit_gauges_from_summary(self, name, metric, custom_tags=None, hostname=None):
"""
Extracts metrics from a prometheus summary metric and sends them as gauges
"""
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/prometheus/mixins.py | PrometheusScraperMixin._submit_gauges_from_histogram | def _submit_gauges_from_histogram(
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):
"""
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"""
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custom_tags = []
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self, name, metric, send_histograms_buckets=True, custom_tags=None, hostname=None
):
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Extracts metrics from a prometheus histogram and sends them as gauges
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/github.py | get_auth_info | def get_auth_info(config=None):
"""
See if a personal access token was passed
"""
gh_config = (config or {}).get('github', {})
user = gh_config.get('user') or os.getenv('DD_GITHUB_USER')
token = gh_config.get('token') or os.getenv('DD_GITHUB_TOKEN')
if user and token:
return user, to... | python | def get_auth_info(config=None):
"""
See if a personal access token was passed
"""
gh_config = (config or {}).get('github', {})
user = gh_config.get('user') or os.getenv('DD_GITHUB_USER')
token = gh_config.get('token') or os.getenv('DD_GITHUB_TOKEN')
if user and token:
return user, to... | [
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/github.py | get_changelog_types | def get_changelog_types(pr_payload):
"""
Fetch the labels from the PR and process the ones related to the changelog.
"""
changelog_labels = []
for name in get_pr_labels(pr_payload):
if name.startswith(CHANGELOG_LABEL_PREFIX):
# only add the name, e.g. for `changelog/Added` it's j... | python | def get_changelog_types(pr_payload):
"""
Fetch the labels from the PR and process the ones related to the changelog.
"""
changelog_labels = []
for name in get_pr_labels(pr_payload):
if name.startswith(CHANGELOG_LABEL_PREFIX):
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/github.py | get_pr | def get_pr(pr_num, config=None, repo=DEFAULT_REPO, raw=False):
"""
Get the payload for the given PR number. Let exceptions bubble up.
"""
response = requests.get(PR_ENDPOINT.format(repo, pr_num), auth=get_auth_info(config))
if raw:
return response
else:
response.raise_for_status... | python | def get_pr(pr_num, config=None, repo=DEFAULT_REPO, raw=False):
"""
Get the payload for the given PR number. Let exceptions bubble up.
"""
response = requests.get(PR_ENDPOINT.format(repo, pr_num), auth=get_auth_info(config))
if raw:
return response
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/tooling/github.py | parse_pr_numbers | def parse_pr_numbers(git_log_lines):
"""
Parse PR numbers from commit messages. At GitHub those have the format:
`here is the message (#1234)`
being `1234` the PR number.
"""
prs = []
for line in git_log_lines:
pr_number = parse_pr_number(line)
if pr_number:
... | python | def parse_pr_numbers(git_log_lines):
"""
Parse PR numbers from commit messages. At GitHub those have the format:
`here is the message (#1234)`
being `1234` the PR number.
"""
prs = []
for line in git_log_lines:
pr_number = parse_pr_number(line)
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DataDog/integrations-core | tokumx/datadog_checks/tokumx/vendor/pymongo/periodic_executor.py | PeriodicExecutor.open | def open(self):
"""Start. Multiple calls have no effect.
Not safe to call from multiple threads at once.
"""
with self._lock:
if self._thread_will_exit:
# If the background thread has read self._stopped as True
# there is a chance that it has ... | python | def open(self):
"""Start. Multiple calls have no effect.
Not safe to call from multiple threads at once.
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DataDog/integrations-core | datadog_checks_dev/datadog_checks/dev/plugin/tox.py | tox_configure | def tox_configure(config):
"""
For more info, see: https://tox.readthedocs.io/en/latest/plugins.html
For an example, see: https://github.com/tox-dev/tox-travis
"""
sections = config._cfg.sections
# Cache these
make_envconfig = None
reader = None
# Default to false so:
# 1. we d... | python | def tox_configure(config):
"""
For more info, see: https://tox.readthedocs.io/en/latest/plugins.html
For an example, see: https://github.com/tox-dev/tox-travis
"""
sections = config._cfg.sections
# Cache these
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._is_collect_cx_state_runnable | def _is_collect_cx_state_runnable(self, proc_location):
"""
Determine if collect_connection_state is set and can effectively run.
If self._collect_cx_state is True and a custom proc_location is provided, the system cannot
run `ss` or `netstat` over a custom proc_location
:param ... | python | def _is_collect_cx_state_runnable(self, proc_location):
"""
Determine if collect_connection_state is set and can effectively run.
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run `ss` or `netstat` over a custom proc_location
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._check_linux | def _check_linux(self, instance):
"""
_check_linux can be run inside a container and still collects the network metrics from the host
For that procfs_path can be set to something like "/host/proc"
When a custom procfs_path is set, the collect_connection_state option is ignored
""... | python | def _check_linux(self, instance):
"""
_check_linux can be run inside a container and still collects the network metrics from the host
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._add_conntrack_stats_metrics | def _add_conntrack_stats_metrics(self, conntrack_path, tags):
"""
Parse the output of conntrack -S
Add the parsed metrics
"""
try:
output, _, _ = get_subprocess_output(["sudo", conntrack_path, "-S"], self.log)
# conntrack -S sample:
# cpu=0 fou... | python | def _add_conntrack_stats_metrics(self, conntrack_path, tags):
"""
Parse the output of conntrack -S
Add the parsed metrics
"""
try:
output, _, _ = get_subprocess_output(["sudo", conntrack_path, "-S"], self.log)
# conntrack -S sample:
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._parse_linux_cx_state | def _parse_linux_cx_state(self, lines, tcp_states, state_col, protocol=None, ip_version=None):
"""
Parse the output of the command that retrieves the connection state (either `ss` or `netstat`)
Returns a dict metric_name -> value
"""
metrics = {}
for _, val in iteritems(s... | python | def _parse_linux_cx_state(self, lines, tcp_states, state_col, protocol=None, ip_version=None):
"""
Parse the output of the command that retrieves the connection state (either `ss` or `netstat`)
Returns a dict metric_name -> value
"""
metrics = {}
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._parse_solaris_netstat | def _parse_solaris_netstat(self, netstat_output):
"""
Return a mapping of network metrics by interface. For example:
{ interface:
{'bytes_sent': 0,
'bytes_rcvd': 0,
'bytes_rcvd': 0,
...
}
}
... | python | def _parse_solaris_netstat(self, netstat_output):
"""
Return a mapping of network metrics by interface. For example:
{ interface:
{'bytes_sent': 0,
'bytes_rcvd': 0,
'bytes_rcvd': 0,
...
}
}
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._check_psutil | def _check_psutil(self, instance):
"""
Gather metrics about connections states and interfaces counters
using psutil facilities
"""
custom_tags = instance.get('tags', [])
if self._collect_cx_state:
self._cx_state_psutil(tags=custom_tags)
self._cx_count... | python | def _check_psutil(self, instance):
"""
Gather metrics about connections states and interfaces counters
using psutil facilities
"""
custom_tags = instance.get('tags', [])
if self._collect_cx_state:
self._cx_state_psutil(tags=custom_tags)
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._cx_state_psutil | def _cx_state_psutil(self, tags=None):
"""
Collect metrics about connections state using psutil
"""
metrics = defaultdict(int)
tags = [] if tags is None else tags
for conn in psutil.net_connections():
protocol = self._parse_protocol_psutil(conn)
st... | python | def _cx_state_psutil(self, tags=None):
"""
Collect metrics about connections state using psutil
"""
metrics = defaultdict(int)
tags = [] if tags is None else tags
for conn in psutil.net_connections():
protocol = self._parse_protocol_psutil(conn)
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._cx_counters_psutil | def _cx_counters_psutil(self, tags=None):
"""
Collect metrics about interfaces counters using psutil
"""
tags = [] if tags is None else tags
for iface, counters in iteritems(psutil.net_io_counters(pernic=True)):
metrics = {
'bytes_rcvd': counters.bytes... | python | def _cx_counters_psutil(self, tags=None):
"""
Collect metrics about interfaces counters using psutil
"""
tags = [] if tags is None else tags
for iface, counters in iteritems(psutil.net_io_counters(pernic=True)):
metrics = {
'bytes_rcvd': counters.bytes... | [
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DataDog/integrations-core | network/datadog_checks/network/network.py | Network._parse_protocol_psutil | def _parse_protocol_psutil(self, conn):
"""
Returns a string describing the protocol for the given connection
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"""
protocol = self.PSUTIL_TYPE_MAPPING.get(conn.type, '')
family = self.PSUTIL_FAMILY_MAPPING.get(conn.fam... | python | def _parse_protocol_psutil(self, conn):
"""
Returns a string describing the protocol for the given connection
in the form `tcp4`, 'udp4` as in `self.cx_state_gauge`
"""
protocol = self.PSUTIL_TYPE_MAPPING.get(conn.type, '')
family = self.PSUTIL_FAMILY_MAPPING.get(conn.fam... | [
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | PoolWorker.run | def run(self):
"""Process the work unit, or wait for sentinel to exit"""
while True:
self.running = True
workunit = self._workq.get()
if is_sentinel(workunit):
# Got sentinel
break
# Run the job / sequence
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.apply | def apply(self, func, args=(), kwds=dict()):
"""Equivalent of the apply() builtin function. It blocks till
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.map | def map(self, func, iterable, chunksize=None):
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.imap | def imap(self, func, iterable, chunksize=1):
"""
An equivalent of itertools.imap().
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.imap_unordered | def imap_unordered(self, func, iterable, chunksize=1):
"""The same as imap() except that the ordering of the results
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order guaranteed to be "correct".)"""
collector = Uno... | python | def imap_unordered(self, func, iterable, chunksize=1):
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.apply_async | def apply_async(self, func, args=(), kwds=dict(), callback=None):
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.map_async | def map_async(self, func, iterable, chunksize=None, callback=None):
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool.terminate | def terminate(self):
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self.close()
# Clearing the job queue
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Pool._create_sequences | def _create_sequences(self, func, iterable, chunksize, collector=None):
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Create the WorkUnit objects to process and pushes them on the
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | Job.process | def process(self):
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | ApplyResult.get | def get(self, timeout=None):
"""
Returns the result when it arrives. If timeout is not None and
the result does not arrive within timeout seconds then
TimeoutError is raised. If the remote call raised an exception
then that exception will be reraised by get().
"""
... | python | def get(self, timeout=None):
"""
Returns the result when it arrives. If timeout is not None and
the result does not arrive within timeout seconds then
TimeoutError is raised. If the remote call raised an exception
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"""
... | [
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | ApplyResult.wait | def wait(self, timeout=None):
"""Waits until the result is available or until timeout
seconds pass."""
self._event.wait(timeout)
return self._event.isSet() | python | def wait(self, timeout=None):
"""Waits until the result is available or until timeout
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self._event.wait(timeout)
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | ApplyResult._set_value | def _set_value(self, value):
"""Called by a Job object to tell the result is ready, and
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will be called, and the callback method too"""
assert not self.ready()
... | python | def _set_value(self, value):
"""Called by a Job object to tell the result is ready, and
provides the value of this result. The object will become
ready and successful. The collector's notify_ready() method
will be called, and the callback method too"""
assert not self.ready()
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | ApplyResult._set_exception | def _set_exception(self):
"""Called by a Job object to tell that an exception occured
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"""Called by a Job object to tell that an exception occured
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DataDog/integrations-core | datadog_checks_base/datadog_checks/base/checks/libs/thread_pool.py | UnorderedResultCollector._get_result | def _get_result(self, idx, timeout=None):
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"""Called by the CollectorIterator object to retrieve the
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