56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
from ..transport import Transport
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from .indices import IndicesClient
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from .cluster import ClusterClient
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def _normalize_hosts(hosts):
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"""
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Helper function to transform hosts argument to
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:class:`~elasticsearch.Elasticsearch` to a list of dicts.
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"""
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# if hosts are empty, just defer to defaults down the line
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if hosts is None:
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return [{}]
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out = []
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# normalize hosts to dicts
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for i, host in enumerate(hosts):
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if isinstance(host, (type(''), type(u''))):
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h = {"host": host}
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if ':' in host:
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# TODO: detect auth urls
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host, port = host.rsplit(':', 1)
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if port.isdigit():
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port = int(port)
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h = {"host": host, "port": port}
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out.append(h)
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else:
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out.append(host)
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return out
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class Elasticsearch(object):
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"""
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Elasticsearch low-level client. Provides a straightforward mapping from
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Python to ES REST endpoints.
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"""
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def __init__(self, hosts=None, transport_class=Transport, **kwargs):
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"""
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:arg hosts: list of nodes we should connect to. Node should be a
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dictionary ({"host": "localhost", "port": 9200}), the entire dictionary
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will be passed to the :class:`~elasticsearch.Connection` class as
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kwargs, or a string in the format ot ``host[:port]`` which will be
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translated to a dictionary automatically. If no value is given the
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:class:`~elasticsearch.Connection` class defaults will be used.
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:arg transport_class: :class:`~elasticsearch.Transport` subclass to use.
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:arg kwargs: any additional arguments will be passed on to the
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:class:`~elasticsearch.Transport` class and, subsequently, to the
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:class:`~elasticsearch.Connection` instances.
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"""
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self.transport = transport_class(_normalize_hosts(hosts), **kwargs)
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# namespaced clients for compatibility with API names
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self.indices = IndicesClient(self)
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self.cluster = ClusterClient(self)
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