def test_clienterror_exception(self):
args = [ "GET", "http://localhost:8080", HTTPError("oh no") ]
kwargs = { "method": "GET", "url": "http://localhost:8080", "exception": HTTPError("oh no") }
with pytest.raises(ClientError):
raise ClientError(*args)
with pytest.raises(DatadogException):
raise ClientError(*args)
with pytest.raises(ClientError):
raise ClientError(**kwargs)
with pytest.raises(DatadogException):
raise ClientError(**kwargs)
def request(cls, method, url, headers, params, data, timeout, proxies,
verify, max_retries):
"""
Wrapper around `urlfetch.fetch` method.
TO IMPLEMENT:
* `max_retries`
"""
# No local certificate file can be used on Google App Engine
validate_certificate = True if verify else False
# Encode parameters in the url
url_with_params = "{url}?{params}".format(
url=url, params=urllib.urlencode(params))
try:
result = urlfetch.fetch(url=url_with_params,
method=method,
headers=headers,
validate_certificate=validate_certificate,
deadline=timeout,
payload=data)
cls.raise_on_status(result)
except urlfetch.DownloadError as e:
raise ClientError(method, url, e)
except urlfetch_errors.DeadlineExceededError:
raise HttpTimeout(method, url, timeout)
return result
def request(cls, method, url, headers, params, data, timeout, proxies,
verify, max_retries):
"""
Wrapper around `urlfetch.fetch` method.
TO IMPLEMENT:
* `max_retries`
"""
# No local certificate file can be used on Google App Engine
validate_certificate = True if verify else False
# Encode parameters in the url
url_with_params = "{url}?{params}".format(
url=url, params=urllib.urlencode(params))
try:
result = urlfetch.fetch(
url=url_with_params,
method=method,
headers=headers,
validate_certificate=validate_certificate,
deadline=timeout,
payload=data,
# setting follow_redirects=False may be slightly faster:
# https://cloud.google.com/appengine/docs/python/microservice-performance#use_the_shortest_route
follow_redirects=False)
cls.raise_on_status(result)
except urlfetch.DownloadError as e:
raise ClientError(method, url, e)
except urlfetch_errors.DeadlineExceededError:
raise HttpTimeout(method, url, timeout)
return result
def request(cls, method, url, headers, params, data, timeout, proxies, verify, max_retries):
try:
with cls._session_lock:
if cls._session is None:
cls._session = requests.Session()
http_adapter = requests.adapters.HTTPAdapter(max_retries=max_retries)
cls._session.mount('https://', http_adapter)
result = cls._session.request(
method, url,
headers=headers, params=params, data=data,
timeout=timeout,
proxies=proxies, verify=verify)
result.raise_for_status()
except requests.ConnectionError as e:
raise _remove_context(ClientError(method, url, e))
except requests.exceptions.Timeout:
raise _remove_context(HttpTimeout(method, url, timeout))
except requests.exceptions.HTTPError as e:
if e.response.status_code in (400, 401, 403, 404, 409, 429):
# This gets caught afterwards and raises an ApiError exception
pass
else:
raise _remove_context(HTTPError(e.response.status_code, result.reason))
except TypeError as e:
raise TypeError(
u"Your installed version of `requests` library seems not compatible with"
u"Datadog's usage. We recommand upgrading it ('pip install -U requests')."
u"If you need help or have any question, please contact [email protected]"
)
return result
def request(cls,
method,
path,
body=None,
attach_host_name=False,
response_formatter=None,
error_formatter=None,
**params):
"""
Make an HTTP API request
:param method: HTTP method to use to contact API endpoint
:type method: HTTP method string
:param path: API endpoint url
:type path: url
:param body: dictionnary to be sent in the body of the request
:type body: dictionary
:param response_formatter: function to format JSON response from HTTP API request
:type response_formatter: JSON input function
:param error_formatter: function to format JSON error response from HTTP API request
:type error_formatter: JSON input function
:param attach_host_name: link the new resource object to the host name
:type attach_host_name: bool
:param params: dictionnary to be sent in the query string of the request
:type params: dictionary
:returns: JSON or formated response from HTTP API request
"""
try:
# Check if it's ok to submit
if not cls._should_submit():
raise HttpBackoff(
"Too many timeouts. Won't try again for {1} seconds.".
format(*cls._backoff_status()))
# Import API, User and HTTP settings
from datadog.api import _api_key, _application_key, _api_host, \
_swallow, _host_name, _proxies, _max_retries, _timeout
# Check keys and add then to params
if _api_key is None:
raise ApiNotInitialized(
"API key is not set."
" Please run 'initialize' method first.")
params['api_key'] = _api_key
if _application_key:
params['application_key'] = _application_key
# Construct the url
url = "%s/api/%s/%s" % (_api_host, cls._api_version,
path.lstrip("/"))
# Attach host name to body
if attach_host_name and body:
# Is it a 'series' list of objects ?
if 'series' in body:
# Adding the host name to all objects
for obj_params in body['series']:
if 'host' not in obj_params:
obj_params['host'] = _host_name
else:
if 'host' not in body:
body['host'] = _host_name
# If defined, make sure tags are defined as a comma-separated string
if 'tags' in params and isinstance(params['tags'], list):
params['tags'] = ','.join(params['tags'])
# Process the body, if necessary
headers = {}
if isinstance(body, dict):
body = json.dumps(body)
headers['Content-Type'] = 'application/json'
# Process requesting
start_time = time.time()
try:
# Use a session to set a max_retries parameters
s = requests.Session()
http_adapter = requests.adapters.HTTPAdapter(
max_retries=_max_retries)
s.mount('https://', http_adapter)
# Request
result = s.request(method,
url,
headers=headers,
params=params,
data=body,
timeout=_timeout,
proxies=_proxies)
result.raise_for_status()
except requests.ConnectionError as e:
raise ClientError("Could not request %s %s%s: %s" %
(method, _api_host, url, e))
except requests.exceptions.Timeout as e:
cls._timeout_counter += 1
raise HttpTimeout('%s %s timed out after %d seconds.' %
(method, url, _timeout))
except requests.exceptions.HTTPError as e:
if e.response.status_code == 404 or e.response.status_code == 400:
pass
else:
raise
except TypeError as e:
raise TypeError(
"Your installed version of 'requests' library seems not compatible with"
"Datadog's usage. We recommand upgrading it ('pip install -U requests')."
"If you need help or have any question, please contact [email protected]"
)
# Request succeeded: log it and reset the timeout counter
duration = round((time.time() - start_time) * 1000., 4)
log.info("%s %s %s (%sms)" %
(result.status_code, method, url, duration))
cls._timeout_counter = 0
# Format response content
content = result.content
if content:
try:
if is_p3k():
response_obj = json.loads(content.decode('utf-8'))
else:
response_obj = json.loads(content)
except ValueError:
raise ValueError(
'Invalid JSON response: {0}'.format(content))
if response_obj and 'errors' in response_obj:
raise ApiError(response_obj)
else:
response_obj = None
if response_formatter is None:
return response_obj
else:
return response_formatter(response_obj)
except ClientError as e:
if _swallow:
log.error(str(e))
if error_formatter is None:
return {'errors': e.args[0]}
else:
return error_formatter({'errors': e.args[0]})
else:
raise
except ApiError as e:
if _swallow:
for error in e.args[0]['errors']:
log.error(str(error))
if error_formatter is None:
return e.args[0]
else:
return error_formatter(e.args[0])
else:
raise