class DataConnections:
"""
Elasticsearch Database Connection
Connections are created upon first call
"""
_should_log_es_py_ver = run_once() # evaluate to true once
_should_log_es_host_ver = run_once() # evaluate to true once per host
def __init__(self, settings):
self.settings = settings
self._connections = Connections()
connection_settings = {
"hosts": self.settings.ES_HOST,
"timeout": self.settings.ES_CLIENT_TIMEOUT
}
connection_settings.update(transport_class=BiothingsTransport)
self._connections.create_connection(alias='sync',
**connection_settings)
connection_settings.update(transport_class=BiothingsAsyncTransport)
if self.settings.ES_SNIFF:
connection_settings.update(sniffer_timeout=60)
connection_settings.update(sniff_on_start=True)
connection_settings.update(sniff_on_connection_fail=True)
self._connections.create_connection(alias='async',
**connection_settings)
async def log_versions(self):
if DataConnections._should_log_es_py_ver():
self.settings.logger.info(
"Python Elasticsearch Version: %s",
'.'.join(map(str, elasticsearch.__version__)))
self.settings.logger.info(
"Python Elasticsearch DSL Version: %s",
'.'.join(map(str, elasticsearch_dsl.__version__)))
if elasticsearch.__version__[0] != elasticsearch_dsl.__version__[0]:
self.settings.logger.error(
"ES Pacakge Version Mismatch with ES-DSL.")
if DataConnections._should_log_es_host_ver(self.settings.ES_HOST):
versions = await get_es_versions(self.async_client)
self.settings.logger.info('[%s] %s: %s', self.settings.ES_HOST,
versions["elasticsearch_cluster"],
versions["elasticsearch_version"])
major_version = versions["elasticsearch_version"].split('.')[0]
if major_version.isdigit(
) and int(major_version) != elasticsearch.__version__[0]:
self.settings.logger.error("ES Python Version Mismatch.")
def get_connection(self, connection):
return self._connections.get_connection(connection)
@property
def client(self):
'''
Return the blocking elasticsearch client.
'''
return self.get_connection('sync')
@property
def async_client(self):
'''
Return the async elasitcsearch client.
API calls return awaitable objects.
'''
return self.get_connection('async')
class BiothingESWebSettings(BiothingWebSettings):
'''
`BiothingWebSettings`_ subclass with functions specific to an elasticsearch backend.
'''
def __init__(self, config=None, parent=None, **kwargs):
'''
The ``config`` init parameter specifies a module that configures
this biothing. For more information see `config module`_ documentation.
'''
super(BiothingESWebSettings, self).__init__(config, parent, **kwargs)
# elasticsearch connections
self._connections = Connections()
connection_settings = {
"hosts": self.ES_HOST,
"timeout": self.ES_CLIENT_TIMEOUT
}
connection_settings.update(transport_class=BiothingsTransport)
self._connections.create_connection(alias='sync',
**connection_settings)
connection_settings.update(transport_class=BiothingsAsyncTransport)
if self.ES_SNIFF:
connection_settings.update(sniffer_timeout=60)
connection_settings.update(sniff_on_start=True)
connection_settings.update(sniff_on_connection_fail=True)
self._connections.create_connection(alias='async',
**connection_settings)
# cached index mappings
self.source_metadata = defaultdict(dict)
self.source_properties = defaultdict(dict)
# populate field notes if exist
try:
inf = open(self.AVAILABLE_FIELDS_NOTES_PATH, 'r')
self._fields_notes = json.load(inf)
inf.close()
except Exception:
self._fields_notes = {}
# user query data
self.userquery = ESUserQuery(self.USERQUERY_DIR)
# query pipelines
self.query_builder = self.load_class(self.ES_QUERY_BUILDER)(self)
self.query_backend = self.load_class(self.ES_QUERY_BACKEND)(self)
self.result_transform = self.load_class(self.ES_RESULT_TRANSFORM)(self)
# initialize payload for standalone tracking batch
self.tracking_payload = []
self.ES_INDICES = dict(self.ES_INDICES) # TODO
self.ES_INDICES[self.ES_DOC_TYPE] = self.ES_INDEX
self.BIOTHING_TYPES = list(self.ES_INDICES.keys())
IOLoop.current().add_callback(self._initialize)
async def _initialize(self):
# failures will be logged concisely
logging.getLogger('elasticsearch.trace').propagate = False
if should_log_es_py_ver():
self.logger.info("Python Elasticsearch Version: %s",
elasticsearch.__version__)
self.logger.info("Python Elasticsearch DSL Version: %s",
elasticsearch_dsl.__version__)
if elasticsearch.__version__[0] != elasticsearch_dsl.__version__[0]:
self.logger.error("ES Pacakge Version Mismatch with ES-DSL.")
if should_log_es_host_ver(self.ES_HOST):
versions = await get_es_versions(self.async_es_client)
self.logger.info('Elasticsearch Version: %s',
versions["elasticsearch_version"])
self.logger.info('Elasticsearch Cluster: %s',
versions["elasticsearch_cluster"])
major_version = versions["elasticsearch_version"].split('.')[0]
if major_version.isdigit(
) and int(major_version) != elasticsearch.__version__[0]:
self.logger.error("ES Python Version Mismatch.")
# populate source mappings
for biothing_type in self.ES_INDICES:
await self.read_index_mappings(biothing_type)
# resume normal log flow
logging.getLogger('elasticsearch.trace').propagate = True
def validate(self):
'''
Additional ES settings to validate.
'''
super().validate()
assert isinstance(self.ES_INDEX, str)
assert isinstance(self.ES_DOC_TYPE, str)
assert isinstance(self.ES_INDICES, dict)
assert '*' not in self.ES_DOC_TYPE
def get_es_client(self):
'''
Return the default blocking elasticsearch client.
The connection is created upon first call.
'''
return self._connections.get_connection('sync')
def get_async_es_client(self):
'''
Return the async elasitcsearch client.
The connection is created upon first call.
API calls return awaitable objects.
'''
return self._connections.get_connection('async')
async def read_index_mappings(self, biothing_type=None):
"""
Read ES index mappings for the corresponding biothing_type,
Populate datasource info and field properties from mappings.
Return ES raw response. This implementation combines indices.
The ES response would look like: (for es7+)
{
'index_1': {
'properties': { ... }, ---> source_properties
'_meta': {
"src" : { ... } ---> source_licenses
...
}, -----------> source_metadata
...
},
'index_2': {
... ---------> Combine with results above
}
}
"""
biothing_type = biothing_type or self.ES_DOC_TYPE
try:
mappings = await self.async_es_client.indices.get_mapping(
index=self.ES_INDICES[biothing_type],
allow_no_indices=True,
ignore_unavailable=True,
local=False)
except elasticsearch.TransportError as exc:
self.logger.error('Error loading index mapping for [%s].',
biothing_type)
self.logger.debug(str(exc))
return None
metadata = self.source_metadata[biothing_type]
properties = self.source_properties[biothing_type]
licenses = self.result_transform.source_licenses[biothing_type]
metadata.clear()
properties.clear()
licenses.clear()
metadata['_biothing'] = biothing_type
metadata['_indices'] = list(mappings.keys())
for index in mappings:
mapping = mappings[index]['mappings']
if mapping and elasticsearch.__version__[0] < 7:
# remove doc_type, support 1 type per index
mapping = next(iter(mapping.values()))
if '_meta' in mapping:
for key, val in mapping['_meta'].items():
# combine dict from multiple index
if key in metadata and isinstance(val, dict) \
and isinstance(metadata[key], dict):
metadata[key].update(val)
else: # otherwise set/replace
metadata[key] = val
# metadata.update(mapping['_meta']) # alternative, no combine
if 'src' in mapping['_meta']:
for src, info in mapping['_meta']['src'].items():
if 'license_url_short' in info:
licenses[src] = info['license_url_short']
elif 'license_url' in info:
licenses[src] = info['license_url']
if 'properties' in mapping:
properties.update(mapping['properties'])
return mappings
def get_field_notes(self):
'''
Return the cached field notes associated with this instance.
'''
return self._fields_notes
@property
def es_client(self):
return self.get_es_client()
@property
def async_es_client(self):
return self.get_async_es_client()
class BiothingESWebSettings(BiothingWebSettings):
'''
`BiothingWebSettings`_ subclass with functions specific to an elasticsearch backend.
* Use the known live ES connection if more than one is specified.
* Cache source metadata stored under the _meta field in es indices.
'''
ES_VERSION = elasticsearch.__version__[0]
def __init__(self, config='biothings.web.settings.default'):
'''
The ``config`` init parameter specifies a module that configures
this biothing. For more information see `config module`_ documentation.
'''
super(BiothingESWebSettings, self).__init__(config)
# temp. move import there to hide async dep unless used
from elasticsearch_async.transport import AsyncTransport
from elasticsearch_dsl.connections import Connections
# elasticsearch connections
self._connections = Connections()
connection_settings = {
"hosts": self.ES_HOST,
"timeout": self.ES_CLIENT_TIMEOUT,
"max_retries":
1, # maximum number of retries before an exception is propagated
"timeout_cutoff":
1, # number of consecutive failures after which the timeout doesn’t increase
"selector_class": KnownLiveSelecter
}
self._connections.create_connection(alias='sync',
**connection_settings)
connection_settings.update(transport_class=AsyncTransport)
self._connections.create_connection(alias='async',
**connection_settings)
# project metadata under index mappings
self._source_metadata = {}
# populate field notes if exist
try:
inf = open(self.AVAILABLE_FIELDS_NOTES_PATH, 'r')
self._fields_notes = json.load(inf)
inf.close()
except Exception:
self._fields_notes = {}
# initialize payload for standalone tracking batch
self.tracking_payload = []
def validate(self):
'''
Additional ES settings to validate.
'''
super().validate()
assert isinstance(self.ES_INDEX, str)
assert isinstance(self.ES_DOC_TYPE, str)
assert isinstance(self.ES_INDICES, dict)
assert '*' not in self.ES_DOC_TYPE
self.ES_INDICES[self.ES_DOC_TYPE] = self.ES_INDEX
def get_es_client(self):
'''
Return the default blocking elasticsearch client.
The connection is created upon first call.
'''
return self._connections.get_connection('sync')
def get_async_es_client(self):
'''
Return the async elasitcsearch client. API calls return awaitable objects.
The connection is created upon first call.
'''
return self._connections.get_connection('async')
def get_source_metadata(self, biothing_type=None, latest=True):
'''
Get metadata defined in the ES index.
:param biothing_type: If multiple biothings are defined, specify which here.
:param latest: If set to `false`, return the cached copy. Otherwise retrieve latest.
'''
biothing_type = biothing_type or self.ES_DOC_TYPE
cached = biothing_type in self._source_metadata
if latest or not cached:
kwargs = {
'index': self.ES_INDICES[biothing_type],
'allow_no_indices': True,
'ignore_unavailable': True,
'local': not latest
}
if self.ES_VERSION < 7:
kwargs['doc_type'] = biothing_type
mappings = self.get_es_client().indices.get_mapping(**kwargs)
metadata = {}
for index in mappings:
if self.ES_VERSION < 7:
_meta = mappings[index]['mappings'][biothing_type].get(
'_meta', {})
else:
_meta = mappings[index]['mappings'].get('_meta', {})
metadata.update(_meta)
self._source_metadata[biothing_type] = metadata
return self._source_metadata[biothing_type]
def get_field_notes(self):
'''
Return the cached field notes associated with this instance.
'''
return self._fields_notes
##### COMPATIBILITY METHODS #####
@property
def es_client(self):
return self.get_es_client()
@property
def async_es_client(self):
return self.get_async_es_client()
def source_metadata(self):
return self.get_source_metadata()
def doc_url(self, bid):
return os.path.join(self.URL_BASE, self.API_VERSION, self.ES_DOC_TYPE,
bid)
def available_fields_notes(self):
return self._fields_notes
from django.forms import model_to_dict
from django.http import HttpResponse
# Create your views here.
from django.views import View
from django.views.decorators.csrf import csrf_exempt
from elasticsearch_dsl.connections import Connections
from pip._vendor import requests
from DjangoSearch.settings import ELASTICSEARCH_INDEX
from search import pagination, models
from search.functions import XMLHandler, random_search_key, random_recommend, jieba_participle, search_body, spiderview
from search.models import ArticleType, User
connection = Connections()
client = connection.create_connection(hosts=['127.0.0.1'], timeout=20)
class RandomRecommendView(View):
def get(self,request):
"""
:param request: 随机推荐函数.
:return:随机推荐的10条数据
"""
uid = request.GET.get("uid","null")
try:
if uid != "null":
print("此时用户状态是：[已登录]")
# 如果用户状态为登录状态：