def __init__(self, urls, timeout=60, max_retries=0, revival_delay=300):
"""
:arg timeout: Number of seconds to wait for each request before raising
Timeout
:arg max_retries: How many other servers to try, in series, after a
request times out or a connection fails
:arg revival_delay: Number of seconds for which to avoid a server after
it times out or is uncontactable
"""
if isinstance(urls, basestring):
urls = [urls]
urls = [u.rstrip('/') for u in urls]
self.servers = DowntimePronePool(urls, revival_delay)
self.revival_delay = revival_delay
self.timeout = timeout
self.max_retries = max_retries
self.logger = getLogger('pyelasticsearch')
self.session = requests.session()
json_converter = self.from_python
class DateSavvyJsonEncoder(json.JSONEncoder):
def default(self, value):
"""Convert more Python data types to ES-understandable JSON."""
return json_converter(value)
self.json_encoder = DateSavvyJsonEncoder
def inicializar(archivo, **kwargs):
if archivo is not None:
config = ConfigParser.ConfigParser()
with open(archivo) as fp:
config.readfp(fp)
urls = config.get('buscador', 'elasticsearch.url')
elif kwargs is not None and 'elasticsearch.url' in kwargs:
urls = kwargs['elasticsearch.url']
else:
raise Exception('No hay ninguna URL especificada para el buscador')
if isinstance(urls, basestring):
urls = [urls]
urls = [u.rstrip('/') for u in urls]
SEConn.servers = DowntimePronePool(urls, 300)
def __init__(self, urls, timeout=60, max_retries=0, revival_delay=300):
"""
:arg urls: A URL or iterable of URLs of ES nodes. These are full URLs
with port numbers, like ``http://elasticsearch.example.com:9200``.
:arg timeout: Number of seconds to wait for each request before raising
Timeout
:arg max_retries: How many other servers to try, in series, after a
request times out or a connection fails
:arg revival_delay: Number of seconds for which to avoid a server after
it times out or is uncontactable
"""
if isinstance(urls, string_types):
urls = [urls]
urls = [u.rstrip('/') for u in urls]
self.servers = DowntimePronePool(urls, revival_delay)
self.revival_delay = revival_delay
self.timeout = timeout
self.max_retries = max_retries
self.logger = getLogger('pyelasticsearch')
self.session = requests.session()
self.json_encoder = JsonEncoder
