text stringlengths 0 1.05M | meta dict |
|---|---|
from eizzek.lib.registry import registry, session_registry
from eizzek.lib.persistence import session
class PluginResolver(object):
'''
The way to find and call plugins.
'''
def resolve(self, message, connection_data):
'''
Returns the result of a plugin call. ``message`` is the
... | {
"repo_name": "igorsobreira/eizzek",
"path": "eizzek/lib/resolver.py",
"copies": "1",
"size": "3463",
"license": "mit",
"hash": 8702350525080457000,
"line_mean": 35.4526315789,
"line_max": 79,
"alpha_frac": 0.6139185677,
"autogenerated": false,
"ratio": 4.497402597402598,
"config_test": false,
... |
from ekratia.conversations.models import Thread
from ekratia.referendums.models import Referendum
from django_email.email import EmailTemplate
import logging
logger = logging.getLogger('ekratia')
def notify_comment_node(request, node, object_type):
"""
Method to create new comment for the current Thread
... | {
"repo_name": "ekratia/ekratia",
"path": "ekratia/core/email.py",
"copies": "2",
"size": "2338",
"license": "bsd-3-clause",
"hash": -8314747829246668000,
"line_mean": 31.4722222222,
"line_max": 67,
"alpha_frac": 0.5431993157,
"autogenerated": false,
"ratio": 4.394736842105263,
"config_test": fa... |
from ekratia.delegates.models import Delegate
import networkx as nx
import logging
import random
logger = logging.getLogger('ekratia')
class GraphEkratia(nx.DiGraph):
"""
Extends Digraph Class to add methods used in the voting system.
- How to use it::
graph = GraphEkratia()
graph.ad... | {
"repo_name": "andresgz/ekratia",
"path": "ekratia/core/graphs.py",
"copies": "3",
"size": "8620",
"license": "bsd-3-clause",
"hash": 5068173953409177000,
"line_mean": 28.6219931271,
"line_max": 78,
"alpha_frac": 0.5495359629,
"autogenerated": false,
"ratio": 3.747826086956522,
"config_test": f... |
from ektime import *
from ioloop import *
from pubsub import *
from value import *
class Indicator(PubSub):
def __init__(self):
super(Indicator, self).__init__()
def datapoints(self):
'''
:rtype: generator
'''
raise NotImplementedError
class EnergyIndicator(Indicator):
def __init__(self, en... | {
"repo_name": "interactiveinstitute/watthappened",
"path": "energykit/indicator.py",
"copies": "1",
"size": "2753",
"license": "mit",
"hash": 1205369209214954200,
"line_mean": 27.381443299,
"line_max": 78,
"alpha_frac": 0.6719941882,
"autogenerated": false,
"ratio": 3.556847545219638,
"config_t... |
from ektime import *
class Value(object):
def __init__(self, *args):
self.set(*args)
def set(self):
raise NotImplementedError
def current(self):
return self.predicted_at(Time.from_s(time.time()))
def predicted_at(self, time):
raise NotImplementedError
def predicted_time_when(self, value):... | {
"repo_name": "interactiveinstitute/watthappened",
"path": "energykit/value.py",
"copies": "1",
"size": "3779",
"license": "mit",
"hash": 76771920306294500,
"line_mean": 25.9928571429,
"line_max": 78,
"alpha_frac": 0.6041280762,
"autogenerated": false,
"ratio": 2.7483636363636363,
"config_test"... |
from ela import *
def test_geojson_to_df():
"""
Test for a function that reads
a geojson file into a pandas dataframe.
"""
state_df = ela.geojson_to_df(states)
assert state_df.polygon[0] == state_df.polygon[3], \
"Geometry types are not similar for \
given locations in Ala... | {
"repo_name": "DIRECT-Energy-Storage/Final-Project",
"path": "test/test_mapping.py",
"copies": "2",
"size": "1871",
"license": "mit",
"hash": 1009916731081047700,
"line_mean": 29.1774193548,
"line_max": 68,
"alpha_frac": 0.6221272047,
"autogenerated": false,
"ratio": 3.414233576642336,
"config_... |
from elastic_api.es_doc_indexer import ESDocIndexer
import csv
csvfile = open("data/twitter_confirmed_1.csv", "w", newline='')
cvswriter = csv.writer(csvfile, delimiter=',',
quotechar='"', quoting=csv.QUOTE_MINIMAL)
def saver(id, row):
values = [
row.get("internal_user_id") or "",... | {
"repo_name": "ybotkiller/ybotkiller",
"path": "csv_from_elastic.py",
"copies": "1",
"size": "1514",
"license": "apache-2.0",
"hash": 7250437623246110000,
"line_mean": 26.0357142857,
"line_max": 64,
"alpha_frac": 0.4253632761,
"autogenerated": false,
"ratio": 3.9842105263157896,
"config_test": ... |
from elasticd.plugins import Driver
from jinja2 import Template
from jinja2 import Environment
from jinja2 import FileSystemLoader
import os
import logging
class VarnishDriver(Driver):
def __init__(self, config):
Driver.__init__(self, config)
def update(self, resources):
Driver.update(self,... | {
"repo_name": "SMxJrz/Elasticd",
"path": "elasticd/ext/varnish_driver.py",
"copies": "2",
"size": "1092",
"license": "apache-2.0",
"hash": -7586592132033864000,
"line_mean": 27.7368421053,
"line_max": 88,
"alpha_frac": 0.6446886447,
"autogenerated": false,
"ratio": 4.249027237354086,
"config_te... |
from elasticd.plugins import ResourceLocator
from elasticd.resource import IPResource
import boto
import yaml
import os
class AWSinstanceLocator(ResourceLocator):
_dataMap = None
def __init__(self, config):
ResourceLocator.__init__(self, config)
fpath = os.path.dirname(__file__) + "/" + self._... | {
"repo_name": "gurumitts/Elasticd",
"path": "elasticd/ext/aws_resource_locator.py",
"copies": "1",
"size": "1440",
"license": "apache-2.0",
"hash": 8291044074440796000,
"line_mean": 31.7272727273,
"line_max": 86,
"alpha_frac": 0.6166666667,
"autogenerated": false,
"ratio": 4.2105263157894735,
"... |
from elasticgit import EG
from elasticinit import TestStory
import json
def push_to_git(repo_path, index_prefix, es_host):
workspace = EG.workspace(repo_path,
index_prefix=index_prefix,
es={'urls': [es_host]})
if workspace.repo.remotes:
repo = ... | {
"repo_name": "MinaProject/backend",
"path": "backend/utils.py",
"copies": "1",
"size": "1034",
"license": "bsd-2-clause",
"hash": -4760823563079127000,
"line_mean": 33.4666666667,
"line_max": 63,
"alpha_frac": 0.5928433269,
"autogenerated": false,
"ratio": 3.8582089552238807,
"config_test": fa... |
from elastic import ElasticNet
from scipy.spatial.distance import pdist
import itertools
import numpy as np
import optparse
import os
import sys
import matplotlib.pyplot as plt
import seaborn as sns
def main():
options, args = parse_arguments()
# load in parameters
cities = load_instance(args[0])
n... | {
"repo_name": "rellermeyer/99tsp",
"path": "python/neural/run.py",
"copies": "1",
"size": "3885",
"license": "bsd-3-clause",
"hash": -4758159297727654000,
"line_mean": 29.1162790698,
"line_max": 97,
"alpha_frac": 0.5292149292,
"autogenerated": false,
"ratio": 3.8465346534653464,
"config_test": ... |
from elasticmagic.cluster import MAX_RESULT_WINDOW
from . import AsyncSearchQueryWrapper
from ...pagination.flask import BasePagination
class AsyncPagination(BasePagination):
"""Helper class to provide compatibility with Flask-SQLAlchemy paginator.
"""
@classmethod
async def create(
cls,... | {
"repo_name": "anti-social/elasticmagic",
"path": "elasticmagic/ext/asyncio/pagination/flask.py",
"copies": "1",
"size": "1100",
"license": "apache-2.0",
"hash": -5545782384547747000,
"line_mean": 31.3529411765,
"line_max": 78,
"alpha_frac": 0.6363636364,
"autogenerated": false,
"ratio": 3.900709... |
from elasticmagic.compiler import get_compiler_by_es_version
from ...cluster import BaseCluster
from .index import AsyncIndex
from .search import AsyncSearchQuery
class AsyncCluster(BaseCluster):
_index_cls = AsyncIndex
_search_query_cls = AsyncSearchQuery
async def _do_request(self, compiler, *args, **... | {
"repo_name": "anti-social/elasticmagic",
"path": "elasticmagic/ext/asyncio/cluster.py",
"copies": "1",
"size": "7069",
"license": "apache-2.0",
"hash": -2828139694999979000,
"line_mean": 34.345,
"line_max": 78,
"alpha_frac": 0.5857971425,
"autogenerated": false,
"ratio": 3.953579418344519,
"co... |
from elasticmagic import DynamicDocument
from elasticmagic import (
Params, Term, Terms, Exists, Missing, Match, MatchAll, MultiMatch, Range,
Bool, Query, And, Or, Not, Sort, Field, Limit,
Boosting, Common, ConstantScore, FunctionScore, DisMax, Filtered, Ids, Prefix,
SpanFirst, SpanMulti, SpanNear, Span... | {
"repo_name": "popravich/elasticmagic",
"path": "tests/test_expression.py",
"copies": "1",
"size": "27588",
"license": "apache-2.0",
"hash": -1270935993237396200,
"line_mean": 26.8385469223,
"line_max": 104,
"alpha_frac": 0.2942946208,
"autogenerated": false,
"ratio": 4.888022678951098,
"config... |
from elasticmagic import DynamicDocument
from elasticmagic import (
Params, Term, Terms, Exists, Missing, Match, MatchPhrase,
MatchPhrasePrefix, MatchAll, MultiMatch, Range,
Bool, Query, And, Or, Not, Sort, Field, Limit,
Boosting, Common, ConstantScore, FunctionScore, DisMax, Filtered, Ids, Prefix,
... | {
"repo_name": "anti-social/elasticmagic",
"path": "tests/test_expression.py",
"copies": "1",
"size": "34286",
"license": "apache-2.0",
"hash": 163535504970655740,
"line_mean": 27.6193656093,
"line_max": 104,
"alpha_frac": 0.3301347489,
"autogenerated": false,
"ratio": 4.679404940630545,
"config... |
from elasticmagic import SearchQuery
from ..conftest import Car
def test_adding_documents(es_index):
es_index.add(
[
Car(_id=1, name='Lightning McQueen'),
Car(_id=2, name='Sally Carerra'),
]
)
doc = es_index.get(1, doc_cls=Car)
assert doc.name == 'Lightning Mc... | {
"repo_name": "anti-social/elasticmagic",
"path": "tests_integ/general/test_indexing.py",
"copies": "1",
"size": "1089",
"license": "apache-2.0",
"hash": -2954027091585340000,
"line_mean": 24.3255813953,
"line_max": 67,
"alpha_frac": 0.621671258,
"autogenerated": false,
"ratio": 3.202941176470588... |
from elastic_queries.json_composer import JsonComposer
class Source(JsonComposer):
def __init__(self, fields):
if type(fields) is not list:
fields = [fields]
super().__init__(_source=fields)
class Query(JsonComposer):
def __init__(self, *args, combine='must'):
query = {
... | {
"repo_name": "pietermarsman/elastic-queries",
"path": "elastic_queries/query.py",
"copies": "1",
"size": "2990",
"license": "mit",
"hash": 4360288771163159600,
"line_mean": 25,
"line_max": 87,
"alpha_frac": 0.5571906355,
"autogenerated": false,
"ratio": 3.6777367773677736,
"config_test": false... |
from .elasticsearch2 import ElasticsearchAutocompleteQueryCompilerImpl
from .elasticsearch5 import (
Elasticsearch5Index, Elasticsearch5Mapping, Elasticsearch5SearchBackend,
Elasticsearch5SearchQueryCompiler, Elasticsearch5SearchResults)
class Elasticsearch6Mapping(Elasticsearch5Mapping):
all_field_name =... | {
"repo_name": "mixxorz/wagtail",
"path": "wagtail/search/backends/elasticsearch6.py",
"copies": "11",
"size": "2092",
"license": "bsd-3-clause",
"hash": 8238134698770504000,
"line_mean": 31.6875,
"line_max": 125,
"alpha_frac": 0.7127151052,
"autogenerated": false,
"ratio": 4.192384769539078,
"c... |
from .elasticsearch2 import (
Elasticsearch2Index, Elasticsearch2Mapping, Elasticsearch2SearchBackend,
Elasticsearch2SearchQueryCompiler, Elasticsearch2SearchResults, ElasticsearchAutocompleteQueryCompilerImpl)
class Elasticsearch5Mapping(Elasticsearch2Mapping):
keyword_type = 'keyword'
text_type = 't... | {
"repo_name": "nimasmi/wagtail",
"path": "wagtail/search/backends/elasticsearch5.py",
"copies": "11",
"size": "3134",
"license": "bsd-3-clause",
"hash": 1130278245395968400,
"line_mean": 28.0185185185,
"line_max": 125,
"alpha_frac": 0.5232929164,
"autogenerated": false,
"ratio": 4.943217665615142... |
from .elasticsearch5 import (
Elasticsearch5Index, Elasticsearch5Mapping, Elasticsearch5SearchBackend,
Elasticsearch5SearchQueryCompiler, Elasticsearch5SearchResults,
ElasticsearchAutocompleteQueryCompilerImpl)
class Elasticsearch6Mapping(Elasticsearch5Mapping):
all_field_name = '_all_text'
edgeng... | {
"repo_name": "wagtail/wagtail",
"path": "wagtail/search/backends/elasticsearch6.py",
"copies": "7",
"size": "2069",
"license": "bsd-3-clause",
"hash": -7462944990685362000,
"line_mean": 31.328125,
"line_max": 125,
"alpha_frac": 0.7090381827,
"autogenerated": false,
"ratio": 4.179797979797979,
... |
from elasticsearch_api import ElasticsearchAPI
from source_manager import SourceManager
from stat_calculator import StatCalculator
from stoppable_worker import ClosableQueue, StoppableWorker, TimedWorker, LoggingWorker
class StatManager:
"""
Coordinates the threads and queues used to get data from the sources... | {
"repo_name": "PeterHenell/performance-dashboard",
"path": "performance-collector2/stat_manager.py",
"copies": "1",
"size": "1868",
"license": "apache-2.0",
"hash": -3365266789447701500,
"line_mean": 38.7659574468,
"line_max": 115,
"alpha_frac": 0.6862955032,
"autogenerated": false,
"ratio": 4.19... |
from elasticsearch.client.utils import AddonClient, query_params, _make_path, \
SKIP_IN_PATH
class VectorizeClient(AddonClient):
namespace = 'vectorize'
@query_params('parent', 'preference', 'realtime', 'routing', 'version',
'version_type', 'sparse_format')
def vectorize(self, index, doc_type... | {
"repo_name": "alexksikes/elasticsearch-vectorize",
"path": "tools/vectorize.py",
"copies": "1",
"size": "7404",
"license": "apache-2.0",
"hash": 6899481933428929000,
"line_mean": 48.6912751678,
"line_max": 105,
"alpha_frac": 0.6345218801,
"autogenerated": false,
"ratio": 4.452194828622971,
"co... |
from elasticsearch_dsl.connections import connections
from elasticsearch_dsl.result import Response
from elasticsearch_dsl import Search
from .apps import indexable_registry
class ShallowResponse(Response):
def count(self):
return self.hits.total
def __len__(self):
return self.hits.total
c... | {
"repo_name": "theonion/djes",
"path": "djes/search.py",
"copies": "1",
"size": "4065",
"license": "mit",
"hash": -8320621923581725000,
"line_mean": 30.7578125,
"line_max": 88,
"alpha_frac": 0.5207872079,
"autogenerated": false,
"ratio": 4.342948717948718,
"config_test": false,
"has_no_keywor... |
from elasticsearch_dsl.connections import connections
from elasticsearch import helpers
from elasticsearch_dsl import Search, Index
from glob import glob
import gzip
import logging
import json
import argparse
from datetime import datetime
from time import sleep
import os
import math
import multiprocessing
import os.pat... | {
"repo_name": "justinlittman/TweetSets",
"path": "tweetset_loader.py",
"copies": "1",
"size": "16672",
"license": "mit",
"hash": -5903521832574552000,
"line_mean": 45.700280112,
"line_max": 119,
"alpha_frac": 0.6363963532,
"autogenerated": false,
"ratio": 3.8709078244717903,
"config_test": fals... |
from elasticsearch_dsl.connections import connections
from utils import dataset_params_to_search
import json
import argparse
import sys
connections.create_connection(hosts=['localhost'], timeout=90)
def fetch_by_screen_name(screen_name, source_datasets):
search = dataset_params_to_search({
'source_datase... | {
"repo_name": "justinlittman/TweetSets",
"path": "tweetset_cli.py",
"copies": "1",
"size": "3757",
"license": "mit",
"hash": 6517175758248255000,
"line_mean": 39.8369565217,
"line_max": 119,
"alpha_frac": 0.5866382752,
"autogenerated": false,
"ratio": 4.035445757250269,
"config_test": false,
... |
from elasticsearch_dsl.faceted_search import FacetedSearch, TermsFacet
class BlogSearch(FacetedSearch):
doc_types = ['user', 'post']
fields = ('title^5', 'body', )
facets = {
'category': TermsFacet(field='category.raw'),
'tags': TermsFacet(field='tags'),
}
def test_query_is_created_p... | {
"repo_name": "REVLWorld/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_faceted_search.py",
"copies": "1",
"size": "3128",
"license": "apache-2.0",
"hash": 4205004168497478000,
"line_mean": 30.28,
"line_max": 99,
"alpha_frac": 0.4242327366,
"autogenerated": false,
"ratio": 3.84747847... |
from elasticsearch_dsl.faceted_search import FacetedSearch, TermsFacet
class BlogSearch(FacetedSearch):
doc_types = ['user', 'post']
fields = ('title', 'body', )
facets = {
'category': TermsFacet(field='category.raw'),
'tags': TermsFacet(field='tags'),
}
def test_query_is_created_pro... | {
"repo_name": "sangheestyle/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_faceted_search.py",
"copies": "3",
"size": "3120",
"license": "apache-2.0",
"hash": 8994264450512039000,
"line_mean": 30.2,
"line_max": 99,
"alpha_frac": 0.4240384615,
"autogenerated": false,
"ratio": 3.875776... |
from elasticsearch_dsl.filter import Not, Type, Term
from rest_framework import viewsets
from rest_framework.pagination import PageNumberPagination
from rest_framework.permissions import AllowAny
from django.template import RequestContext
from django.utils.timezone import now
from bulbs.content.filters import Publish... | {
"repo_name": "theonion/django-bulbs",
"path": "bulbs/feeds/views.py",
"copies": "1",
"size": "3379",
"license": "mit",
"hash": -444941443265344200,
"line_mean": 36.1318681319,
"line_max": 92,
"alpha_frac": 0.6732761172,
"autogenerated": false,
"ratio": 3.7131868131868133,
"config_test": false,... |
from elasticsearch_dsl import aggs, query
from pytest import raises
def test_repr():
max_score = aggs.Max(field='score')
a = aggs.A('terms', field='tags', aggs={'max_score': max_score})
assert "Terms(aggs={'max_score': Max(field='score')}, field='tags')" == repr(a)
def test_meta():
max_score = aggs.... | {
"repo_name": "REVLWorld/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_aggs.py",
"copies": "1",
"size": "5112",
"license": "apache-2.0",
"hash": -5664698168565663000,
"line_mean": 27.0879120879,
"line_max": 109,
"alpha_frac": 0.5367762128,
"autogenerated": false,
"ratio": 3.03562945... |
from elasticsearch_dsl import AttrList, AttrDict
from elasticsearch_dsl.response import Hit, AggResponse
from mainapp.functions.search import MainappSearch
hit_template = {
"_index": "mst-test-file",
"_type": "_doc",
"_id": "159",
"_source": {"id": 159},
"highlight": {
"name": ["long name ... | {
"repo_name": "meine-stadt-transparent/meine-stadt-transparent",
"path": "mainapp/tests/live/helper.py",
"copies": "1",
"size": "3518",
"license": "mit",
"hash": 7388074390026526000,
"line_mean": 29.3275862069,
"line_max": 87,
"alpha_frac": 0.4951677089,
"autogenerated": false,
"ratio": 3.6493775... |
from elasticsearch_dsl import connections, Search, Q, A
import config
class BitsharesElasticSearchClient():
def __init__(self, default_cluster_config, additional_clusters_config):
self._create_connection('operations', default_cluster_config, additional_clusters_config)
self._create_connection('obje... | {
"repo_name": "oxarbitrage/bitshares-python-api-backend",
"path": "services/bitshares_elasticsearch_client.py",
"copies": "1",
"size": "8510",
"license": "mit",
"hash": -4627861868785782000,
"line_mean": 42.641025641,
"line_max": 187,
"alpha_frac": 0.5430082256,
"autogenerated": false,
"ratio": 3... |
from elasticsearch_dsl import DocType, Completion, Index
from django.conf import settings
from core.utils import TranslatedField, blacklist
from cacheops import cached
class RangeRelevantEntitiesMixin(object):
def relevant_related_persons(self):
hl = getattr(self.meta, "highlight", None)
if hl is... | {
"repo_name": "dchaplinsky/pep.org.ua",
"path": "pepdb/core/elastic_models.py",
"copies": "1",
"size": "3528",
"license": "mit",
"hash": 2328200492463399400,
"line_mean": 28.4,
"line_max": 86,
"alpha_frac": 0.5317460317,
"autogenerated": false,
"ratio": 3.9243604004449386,
"config_test": false,... |
from elasticsearch_dsl import DocType, Completion
from elasticsearch_dsl.field import (
String, Date as ESDate, Float, Boolean
)
from elasticsearch_dsl import FacetedSearch
from elasticsearch_dsl import TermsFacet, DateHistogramFacet
from elasticsearch_dsl.query import Q
from six import itervalues
import collection... | {
"repo_name": "simonw/dcinbox_explorer",
"path": "schema.py",
"copies": "1",
"size": "5437",
"license": "mit",
"hash": -856563143125671400,
"line_mean": 34.3051948052,
"line_max": 82,
"alpha_frac": 0.6075041383,
"autogenerated": false,
"ratio": 3.2479091995221028,
"config_test": false,
"has_n... |
from elasticsearch_dsl import DocType, Index, String, Date, analysis
class Post(DocType):
title = String(analyzer=analysis.analyzer('my_analyzer', tokenizer='keyword'))
published_from = Date()
class User(DocType):
username = String(index='not_analyzed')
joined_date = Date()
def test_index_can_be_crea... | {
"repo_name": "solarissmoke/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_integration/test_index.py",
"copies": "4",
"size": "1981",
"license": "apache-2.0",
"hash": 3686959043807129600,
"line_mean": 33.7543859649,
"line_max": 90,
"alpha_frac": 0.5254921757,
"autogenerated": false,
... |
from elasticsearch_dsl import DocType, Index, String, Date
from random import choice
import string
class Post(DocType):
title = String()
published_from = Date()
def test_search_is_limited_to_index_name():
i = Index('my-index')
s = i.search()
assert s._index == ['my-index']
def test_cloned_ind... | {
"repo_name": "ziky90/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_index.py",
"copies": "3",
"size": "2055",
"license": "apache-2.0",
"hash": 4434487042897704400,
"line_mean": 23.4642857143,
"line_max": 78,
"alpha_frac": 0.5756690998,
"autogenerated": false,
"ratio": 3.352365415986... |
from elasticsearch_dsl import DocType, Index, Text, Keyword, Date, analysis
class Post(DocType):
title = Text(analyzer=analysis.analyzer('my_analyzer', tokenizer='keyword'))
published_from = Date()
class User(DocType):
username = Keyword()
joined_date = Date()
def test_index_exists(write_client):
... | {
"repo_name": "f-santos/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_integration/test_index.py",
"copies": "1",
"size": "2585",
"license": "apache-2.0",
"hash": -7625363342329860000,
"line_mean": 30.9135802469,
"line_max": 82,
"alpha_frac": 0.518762089,
"autogenerated": false,
"rat... |
from elasticsearch_dsl import DocType, Keyword, Date
from elasticsearch_dsl import Float
from elasticsearch_dsl import MetaField
class BalanceSheet(DocType):
id = Keyword()
securityId = Keyword()
code = Keyword()
reportDate = Date()
# 货币资金
moneyFunds = Float()
# 交易性金融资产
heldForTradingF... | {
"repo_name": "foolcage/foolcage",
"path": "foolspider/foolspider/domain/finance.py",
"copies": "1",
"size": "13803",
"license": "mit",
"hash": -2708440312232418000,
"line_mean": 25.2860635697,
"line_max": 80,
"alpha_frac": 0.6779834434,
"autogenerated": false,
"ratio": 2.035788676387048,
"conf... |
from elasticsearch_dsl import DocType, Nested, String, Date
from elasticsearch_dsl.field import InnerObjectWrapper
from elasticsearch_dsl.exceptions import ValidationException
from pytest import raises
class Author(InnerObjectWrapper):
def clean(self):
if self.name.lower() not in self.email:
r... | {
"repo_name": "reflection/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_validation.py",
"copies": "2",
"size": "1680",
"license": "apache-2.0",
"hash": 2061801450407424800,
"line_mean": 27,
"line_max": 88,
"alpha_frac": 0.6357142857,
"autogenerated": false,
"ratio": 3.53684210526315... |
from elasticsearch_dsl import DocType, Object, String, Completion, Nested, Date, Boolean
class NoneAwareDate(Date):
"""Elasticsearch DSL Date field chokes on None values and parses empty
strings as current date, hence the workaround.
TODO: move this upstream in some form."""
def _to_python(self, data)... | {
"repo_name": "devrand/declarations.com.ua",
"path": "declarations_site/catalog/elastic_models.py",
"copies": "1",
"size": "1919",
"license": "mit",
"hash": -7492253194757829000,
"line_mean": 34.537037037,
"line_max": 88,
"alpha_frac": 0.5346534653,
"autogenerated": false,
"ratio": 4.462790697674... |
from elasticsearch_dsl import DocType
from bd_elk.common_es import CommonEs
from ultis.commons import ComFunc
class CommonIp(DocType, CommonEs):
# todo should use pandas to do json format
"""
基于Ip 数据公用的类
"""
# 指定的类型（src，dst...）
_type = None
@classmethod
def get_total_s... | {
"repo_name": "daishu7/mnet",
"path": "bd_elk/ip/common.py",
"copies": "2",
"size": "5093",
"license": "apache-2.0",
"hash": -9071365236315604000,
"line_mean": 31.2866666667,
"line_max": 79,
"alpha_frac": 0.4458241538,
"autogenerated": false,
"ratio": 3.8555984555984555,
"config_test": false,
... |
from elasticsearch_dsl import DocType, String, Date, Integer, Boolean, Float, Ip, GeoPoint, Keyword, Index
from elasticsearch_dsl.connections import connections
import time
import os
### If you need to restore the tokens index to the previous schema run the following from a python interactive shell:
### from reindex_to... | {
"repo_name": "csirtgadgets/bearded-avenger",
"path": "reindex_tokens.py",
"copies": "1",
"size": "3112",
"license": "mpl-2.0",
"hash": 3044856175805996500,
"line_mean": 30.12,
"line_max": 158,
"alpha_frac": 0.6429948586,
"autogenerated": false,
"ratio": 3.9292929292929295,
"config_test": false... |
from elasticsearch_dsl import DocType, String, Date, Integer, Boolean, Float, Ip, GeoPoint, Keyword, Index
import elasticsearch.exceptions
from elasticsearch_dsl.connections import connections
import arrow
from pprint import pprint
import logging
from .constants import LIMIT, TIMEOUT
from cif.constants import PYVERSION... | {
"repo_name": "csirtgadgets/bearded-avenger",
"path": "cif/store/zelasticsearch/token.py",
"copies": "1",
"size": "4630",
"license": "mpl-2.0",
"hash": 5834893443813621000,
"line_mean": 27.0606060606,
"line_max": 106,
"alpha_frac": 0.5580993521,
"autogenerated": false,
"ratio": 4.086496028243601,... |
from elasticsearch_dsl import DocType, String, Date
class IncomingFile(DocType):
file_path = String(analyzer='snowball', fields={'raw': String(index='not_analyzed')})
uuid = String(analyzer='snowball')
processed = String(analyzer='snowball')
process_date = Date()
upload_date = Date()
class Me... | {
"repo_name": "gutmensch/bynge",
"path": "bynge/models.py",
"copies": "1",
"size": "1866",
"license": "bsd-2-clause",
"hash": -6981624569101882000,
"line_mean": 30.6440677966,
"line_max": 89,
"alpha_frac": 0.6548767417,
"autogenerated": false,
"ratio": 3.928421052631579,
"config_test": false,
... |
from elasticsearch_dsl import DocType, Text, Integer, Date, Boolean, GeoPoint
class StationStatus(DocType):
"""
{
"station_id":"72",
"num_bikes_available":11,
"num_bikes_disabled":1,
"num_docks_available":27,
"num_docks_disabled":0,
"is_installed":1,
"is... | {
"repo_name": "mdprewitt/citiike-gbf",
"path": "gbf/es.py",
"copies": "1",
"size": "1807",
"license": "mit",
"hash": -7702910537751374000,
"line_mean": 25.9701492537,
"line_max": 77,
"alpha_frac": 0.5744327615,
"autogenerated": false,
"ratio": 3.273550724637681,
"config_test": false,
"has_no_... |
from elasticsearch_dsl import Document, Date, Boolean, \
Keyword, Text, Index, Integer, MetaField, Object
from dateutil.parser import parse as date_parse
from datetime import datetime
import uuid
import json
class DatasetDocument(Document):
name = Keyword()
description = Text()
tags = Keyword()
cr... | {
"repo_name": "justinlittman/TweetSets",
"path": "models.py",
"copies": "1",
"size": "6910",
"license": "mit",
"hash": -1212837212588448000,
"line_mean": 34.8031088083,
"line_max": 111,
"alpha_frac": 0.6437047757,
"autogenerated": false,
"ratio": 3.534526854219949,
"config_test": false,
"has_... |
from elasticsearch_dsl import document, field
class Book(document.DocType):
"""
This is the document type class for objects of type book for using with Elasticsearch DSL using Python
"""
authors_name = field.String()
authors_url = field.String(index='not_analyzed')
average = field.Float()
c... | {
"repo_name": "erfannoury/GoodSearcher",
"path": "booktype.py",
"copies": "1",
"size": "1753",
"license": "mit",
"hash": 1336012319197973000,
"line_mean": 37.9555555556,
"line_max": 106,
"alpha_frac": 0.6503137479,
"autogenerated": false,
"ratio": 3.930493273542601,
"config_test": false,
"has... |
from elasticsearch_dsl import Document, Percolator, Text, Keyword, \
connections, Q, Search
class BlogPost(Document):
"""
Blog posts that will be automatically tagged based on percolation queries.
"""
content = Text()
tags = Keyword(multi=True)
class Index:
name = 'test-blogpost'
... | {
"repo_name": "3lnc/elasticsearch-dsl-py",
"path": "examples/percolate.py",
"copies": "2",
"size": "2090",
"license": "apache-2.0",
"hash": -4940677176207399000,
"line_mean": 28.4366197183,
"line_max": 78,
"alpha_frac": 0.6167464115,
"autogenerated": false,
"ratio": 4.1141732283464565,
"config_... |
from elasticsearch_dsl import field, analyzer
__base_fields = (
'Object', 'String', 'Text', 'Date', 'Keyword', 'Nested',
'InnerObjectWrapper',
'Float', 'Double', 'Byte', 'Short', 'Integer', 'Long', 'Boolean',
'Ip', 'Attachment',
'GeoPoint', 'GeoShape',
'Completion',
)
html_strip = analyzer(
... | {
"repo_name": "prashnts/dj-elasticsearch-flex",
"path": "elasticsearch_flex/fields.py",
"copies": "1",
"size": "1138",
"license": "mit",
"hash": -5101245488363269000,
"line_mean": 25.4651162791,
"line_max": 74,
"alpha_frac": 0.586115993,
"autogenerated": false,
"ratio": 3.2514285714285713,
"con... |
from elasticsearch_dsl import field
def test_field_from_dict():
f = field.construct_field({'type': 'string', 'index': 'not_analyzed'})
assert isinstance(f, field.String)
assert {'type': 'string', 'index': 'not_analyzed'} == f.to_dict()
def test_multi_fields_are_accepted_and_parsed():
f = field.cons... | {
"repo_name": "sangheestyle/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_field.py",
"copies": "10",
"size": "1993",
"license": "apache-2.0",
"hash": -236789822595415300,
"line_mean": 28.3088235294,
"line_max": 104,
"alpha_frac": 0.5434019067,
"autogenerated": false,
"ratio": 3.4903... |
from elasticsearch_dsl import Index
from elasticsearch import helpers
import elasticsearch.exceptions
from elasticsearch_dsl.connections import connections
from cif.store.indicator_plugin import IndicatorManagerPlugin
from pprint import pprint
from cifsdk.exceptions import AuthError, CIFException
from datetime import d... | {
"repo_name": "csirtgadgets/bearded-avenger",
"path": "cif/store/zelasticsearch/indicator.py",
"copies": "1",
"size": "13999",
"license": "mpl-2.0",
"hash": -7959918753834267000,
"line_mean": 30.9611872146,
"line_max": 122,
"alpha_frac": 0.4821058647,
"autogenerated": false,
"ratio": 4.4955041746... |
from elasticsearch_dsl import mapping
def test_mapping_can_has_fields():
m = mapping.Mapping('article')
m.field('name', 'string').field('tags', 'string', index='not_analyzed')
assert {
'article': {
'properties': {
'name': {'type': 'string'},
'tags': {'i... | {
"repo_name": "FrankBian/kuma",
"path": "vendor/src/elasticsearch-dsl-py/test_elasticsearch_dsl/test_mapping.py",
"copies": "5",
"size": "1546",
"license": "mpl-2.0",
"hash": 9058618672509825000,
"line_mean": 29.3137254902,
"line_max": 75,
"alpha_frac": 0.4611901682,
"autogenerated": false,
"rati... |
from elasticsearch_dsl import mapping, String, Nested, analysis
def test_mapping_can_has_fields():
m = mapping.Mapping('article')
m.field('name', 'string').field('tags', 'string', index='not_analyzed')
assert {
'article': {
'properties': {
'name': {'type': 'string'},
... | {
"repo_name": "harshmaur/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_mapping.py",
"copies": "8",
"size": "5369",
"license": "apache-2.0",
"hash": 7033826307729946000,
"line_mean": 34.7933333333,
"line_max": 110,
"alpha_frac": 0.5082883218,
"autogenerated": false,
"ratio": 3.534562... |
from elasticsearch_dsl import (
analyzer, token_filter
)
def get_text_analyzer():
return analyzer(
'fds_analyzer',
tokenizer='standard',
filter=[
'keyword_repeat',
token_filter('decomp', type='decompound', subwords_only=True),
'lowercase',
... | {
"repo_name": "fin/fragdenstaat.at",
"path": "fragdenstaat_at/theme/search.py",
"copies": "1",
"size": "1106",
"license": "mit",
"hash": -3696814350565944000,
"line_mean": 28.1052631579,
"line_max": 84,
"alpha_frac": 0.5352622061,
"autogenerated": false,
"ratio": 3.7491525423728813,
"config_tes... |
from elasticsearch_dsl import (
DocType,
Keyword,
Text,
Index,
analyzer,
tokenizer,
token_filter,
Date
)
namesAutocompleteAnalyzer = analyzer(
"namesAutocompleteAnalyzer",
tokenizer=tokenizer(
"autocompleteTokenizer",
type="edge_ngram",
min_gram=1,
... | {
"repo_name": "dchaplinsky/garnahata.in.ua",
"path": "garnahata_site/catalog/elastic_models.py",
"copies": "1",
"size": "2829",
"license": "mit",
"hash": -277383128780633950,
"line_mean": 22.6666666667,
"line_max": 83,
"alpha_frac": 0.5303928836,
"autogenerated": false,
"ratio": 3.66078697421981,... |
from elasticsearch_dsl import ( # NOQA
String, Date, Integer, Boolean, Float,
Short, Byte, Long, Double, Field, Object, Nested,
Text, Keyword, HalfFloat, GeoPoint, GeoShape, MetaField)
MODEL_FIELDS_MAP = {
'DateField': Date,
'DateTimeField': Date,
'BooleanField': Boolean,
'Nul... | {
"repo_name": "marcinn/springy",
"path": "springy/fields.py",
"copies": "1",
"size": "1132",
"license": "bsd-2-clause",
"hash": -3391012757763285000,
"line_mean": 27.3,
"line_max": 78,
"alpha_frac": 0.6113074205,
"autogenerated": false,
"ratio": 4.02846975088968,
"config_test": false,
"has_no... |
from elasticsearch_dsl import (
Search as BaseSearch,
MultiSearch as BaseMultiSearch,
)
class IterableSearch(BaseSearch):
"""
This class is used to make search class iterable
(also fixes https://github.com/elastic/elasticsearch-dsl-py/issues/279)
"""
def __iter__(self):
... | {
"repo_name": "marcinn/springy",
"path": "springy/search.py",
"copies": "1",
"size": "1642",
"license": "bsd-2-clause",
"hash": -4450532723340017700,
"line_mean": 23.8787878788,
"line_max": 75,
"alpha_frac": 0.5931790499,
"autogenerated": false,
"ratio": 3.995133819951338,
"config_test": false,... |
from elasticsearch_dsl import Q as DSLQ
from .tokens import BaseToken
class UnaryOperator(BaseToken):
def __init__(self, tokens):
self.tokens = tokens[0]
self.argument = tokens[0][-1]
def __repr__(self):
return fr"{type(self).__name__}({repr(self.argument)})"
class BinaryOperator(B... | {
"repo_name": "mozilla/kitsune",
"path": "kitsune/search/parser/operators.py",
"copies": "1",
"size": "2531",
"license": "bsd-3-clause",
"hash": -8595983559425814000,
"line_mean": 30.2469135802,
"line_max": 96,
"alpha_frac": 0.598972738,
"autogenerated": false,
"ratio": 4.082258064516129,
"conf... |
from elasticsearch_dsl import Q
import numpy as np
from ..utilities import structure_results
import spacy
nlp = spacy.load('en_core_web_lg', disable=['parser', 'tagger'])
def test_issue_40_2_thread(geo_thread):
doc_list = ["Government forces attacked the cities in Aleppo Governorate, while rebel leaders met in Ge... | {
"repo_name": "openeventdata/mordecai",
"path": "mordecai/tests/test_mordecai.py",
"copies": "1",
"size": "17083",
"license": "mit",
"hash": -5067358426280057000,
"line_mean": 40.6682926829,
"line_max": 768,
"alpha_frac": 0.6516419833,
"autogenerated": false,
"ratio": 2.9964918435362216,
"confi... |
from elasticsearch_dsl import query, function, filter
from pytest import raises
def test_match_to_dict():
assert {"match": {"f": "value"}} == query.Match(f='value').to_dict()
def test_match_to_dict_extra():
assert {"match": {"f": "value", "boost": 2}} == query.Match(f='value', boost=2).to_dict()
def test_fu... | {
"repo_name": "ngokevin/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_query.py",
"copies": "1",
"size": "9112",
"license": "apache-2.0",
"hash": -1141403847533547900,
"line_mean": 28.680781759,
"line_max": 124,
"alpha_frac": 0.582309043,
"autogenerated": false,
"ratio": 3.0202187603... |
from elasticsearch_dsl import query, function
from pytest import raises
def test_empty_Q_is_match_all():
q = query.Q()
assert isinstance(q, query.MatchAll)
assert query.MatchAll() == q
def test_match_to_dict():
assert {"match": {"f": "value"}} == query.Match(f='value').to_dict()
def test_match_to_d... | {
"repo_name": "f-santos/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_query.py",
"copies": "1",
"size": "11650",
"license": "apache-2.0",
"hash": -4639489982931255000,
"line_mean": 29.4177545692,
"line_max": 133,
"alpha_frac": 0.5796566524,
"autogenerated": false,
"ratio": 3.0103359... |
from elasticsearch_dsl import Search, DocType, Date, String, MultiSearch
from .test_data import DATA
class Repository(DocType):
created_at = Date()
description = String(analyzer='snowball')
tags = String(index='not_analyzed')
class Meta:
index = 'git'
doc_type = 'repos'
def test_sugg... | {
"repo_name": "sangheestyle/elasticsearch-dsl-py",
"path": "test_elasticsearch_dsl/test_integration/test_search.py",
"copies": "2",
"size": "1557",
"license": "apache-2.0",
"hash": 1984238213814817300,
"line_mean": 26.3157894737,
"line_max": 100,
"alpha_frac": 0.65253693,
"autogenerated": false,
... |
from elasticsearch_dsl import Search
from django import forms
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.conf import settings
class BaseSearchForm(forms.Form):
"""
This is the base form class for search forms. It comes with a a nice q
field that automatically does ... | {
"repo_name": "PSU-OIT-ARC/elasticmodels",
"path": "elasticmodels/forms.py",
"copies": "2",
"size": "6585",
"license": "mit",
"hash": 3186518748567060000,
"line_mean": 35.3812154696,
"line_max": 125,
"alpha_frac": 0.6192862566,
"autogenerated": false,
"ratio": 4.275974025974026,
"config_test": ... |
from elasticsearch_dsl import Search
from typing import List
from willstores.util import ConnectionFactory
from willstores.model import Session
class SessionDAO:
"""
DAO of store sessions:
"""
def __init__(self):
self.__esconnection = ConnectionFactory.get_ES_connection()
self.__inde... | {
"repo_name": "willrogerpereira/willbuyer",
"path": "willstores/willstores/dao/session.py",
"copies": "1",
"size": "1675",
"license": "mit",
"hash": 6900473235188246000,
"line_mean": 31.8431372549,
"line_max": 91,
"alpha_frac": 0.5868656716,
"autogenerated": false,
"ratio": 3.868360277136259,
"... |
from elasticsearch_dsl import Search, Q
from typing import List, Dict
from willstores.util import ConnectionFactory
from willstores.model import Product
class ProductDAO:
"""
DAO of store products.
"""
def __init__(self):
self.__esconnection = ConnectionFactory.get_ES_connection()
se... | {
"repo_name": "willrogerpereira/willbuyer",
"path": "willstores/willstores/dao/product.py",
"copies": "1",
"size": "10270",
"license": "mit",
"hash": 8373566260044971000,
"line_mean": 45.8949771689,
"line_max": 122,
"alpha_frac": 0.5278481013,
"autogenerated": false,
"ratio": 3.67310443490701,
... |
from elasticsearch_dsl.query import MultiMatch
from ..documents import OrderDocument, ProductDocument, UserDocument
def _search_products(phrase):
prod_query = MultiMatch(
fields=['name', 'title', 'description'],
query=phrase,
type='cross_fields')
return ProductDocument.search().query(... | {
"repo_name": "UITools/saleor",
"path": "saleor/search/backends/elasticsearch_dashboard.py",
"copies": "1",
"size": "1424",
"license": "bsd-3-clause",
"hash": -948634101488756600,
"line_mean": 26.9215686275,
"line_max": 78,
"alpha_frac": 0.6474719101,
"autogenerated": false,
"ratio": 3.9887955182... |
from elasticsearch_dsl.query import Q as ESQ
from django_filters import rest_framework as filters
from froide.team.models import Team
from ..api_utils import ElasticLimitOffsetPagination
from . import SearchQuerySetWrapper
class ESQueryFilterBackend(filters.DjangoFilterBackend):
def get_filterset_class(self, v... | {
"repo_name": "stefanw/froide",
"path": "froide/helper/search/api_views.py",
"copies": "1",
"size": "2440",
"license": "mit",
"hash": 7802981583634238000,
"line_mean": 31.5333333333,
"line_max": 75,
"alpha_frac": 0.6032786885,
"autogenerated": false,
"ratio": 4.170940170940171,
"config_test": f... |
from elasticsearch_dsl.query import Q
from elasticsearch_dsl import Search
from shelf.search.formatter import Formatter as SearchFormatter
from shelf.search.type import Type as SearchType
class Manager(object):
def __init__(self, search_container):
self.search_container = search_container
self.con... | {
"repo_name": "not-nexus/shelf",
"path": "shelf/search/manager.py",
"copies": "2",
"size": "3025",
"license": "mit",
"hash": -7146986116693354000,
"line_mean": 44.1492537313,
"line_max": 111,
"alpha_frac": 0.6228099174,
"autogenerated": false,
"ratio": 4.448529411764706,
"config_test": false,
... |
from elasticsearch.exceptions import (
ConflictError,
ConnectionError,
NotFoundError,
TransportError,
)
from pyramid.view import view_config
from sqlalchemy.exc import StatementError
from contentbase import DBSESSION
from contentbase.storage import (
TransactionRecord,
)
from urllib3.exceptions impo... | {
"repo_name": "kidaa/encoded",
"path": "src/contentbase/elasticsearch/indexer.py",
"copies": "1",
"size": "8229",
"license": "mit",
"hash": 2534259644628327400,
"line_mean": 33.2875,
"line_max": 113,
"alpha_frac": 0.5659253858,
"autogenerated": false,
"ratio": 4.2049054675523765,
"config_test":... |
from elasticsearch.exceptions import NotFoundError
from kitsune.products.tests import ProductFactory, TopicFactory
from kitsune.search.documents import WikiDocument
from kitsune.search.tests import Elastic7TestCase
from kitsune.wiki.tests import DocumentFactory, RevisionFactory
class WikiDocumentSignalsTests(Elastic... | {
"repo_name": "mozilla/kitsune",
"path": "kitsune/search/tests/signals/test_wiki.py",
"copies": "1",
"size": "3006",
"license": "bsd-3-clause",
"hash": -8506545001935233000,
"line_mean": 33.5517241379,
"line_max": 99,
"alpha_frac": 0.6826347305,
"autogenerated": false,
"ratio": 3.9397116644823065... |
from elasticsearch.exceptions import TransportError
from bulbs.content.models import Content
from bulbs.sections.models import Section
from bulbs.utils.test import BaseIndexableTestCase
class SpecialCoverageQueryTests(BaseIndexableTestCase):
def setUp(self):
super(SpecialCoverageQueryTests, self).setUp(... | {
"repo_name": "pombredanne/django-bulbs",
"path": "tests/sections/test_sections_es.py",
"copies": "1",
"size": "2981",
"license": "mit",
"hash": 7242865210849697000,
"line_mean": 28.2254901961,
"line_max": 87,
"alpha_frac": 0.4833948339,
"autogenerated": false,
"ratio": 4.345481049562682,
"conf... |
from elasticsearch.helpers import bulk as bulk_index
import olympia.core.logger
from olympia.amo import search as amo_search
from olympia.amo.celery import task
from . import search
from .models import DownloadCount, ThemeUserCount, UpdateCount
log = olympia.core.logger.getLogger('z.task')
@task
def index_update... | {
"repo_name": "kumar303/olympia",
"path": "src/olympia/stats/tasks.py",
"copies": "2",
"size": "2165",
"license": "bsd-3-clause",
"hash": -6598244111515611000,
"line_mean": 28.6575342466,
"line_max": 76,
"alpha_frac": 0.6198614319,
"autogenerated": false,
"ratio": 3.38810641627543,
"config_test... |
from elasticsearch.helpers import bulk
class ElasticSearchClient(object):
def __init__(self, el):
self.el = el
# import ipdb; ipdb.set_trace()
def ping(self):
return self.el.ping()
def create_index(self, name):
return self.el.indices.create(name)
def index(self, inde... | {
"repo_name": "maigfrga/flaskutils",
"path": "flask_philo/db/elasticsearch/client.py",
"copies": "2",
"size": "1500",
"license": "apache-2.0",
"hash": -5679659946386596000,
"line_mean": 26.2727272727,
"line_max": 78,
"alpha_frac": 0.5713333333,
"autogenerated": false,
"ratio": 3.3707865168539324,... |
from elasticsearch.helpers import reindex
from .connections import connect_to_elasticsearch
from .indices import create_new_index, switch_alias_to_index
from .importer import import_data
from .kudago import KudaGo
from .settings import ELASTICSEARCH_ALIAS
def migrate():
print("Starting migration...")
elasti... | {
"repo_name": "despawnerer/theatrics",
"path": "importer/importer/__init__.py",
"copies": "1",
"size": "1228",
"license": "mit",
"hash": 2672480218038215700,
"line_mean": 24.5833333333,
"line_max": 67,
"alpha_frac": 0.6986970684,
"autogenerated": false,
"ratio": 3.6876876876876876,
"config_test... |
from elasticsearch.helpers import scan
from aleph.core import es, es_index
from aleph.index import TYPE_RECORD
from aleph.util import ensure_list
from aleph.search.fragments import text_query_string
from aleph.search.util import execute_basic
from aleph.search.fragments import match_all, filter_query
from aleph.model ... | {
"repo_name": "OpenGazettes/aleph",
"path": "aleph/search/records.py",
"copies": "2",
"size": "3376",
"license": "mit",
"hash": 5969798625139251000,
"line_mean": 28.6140350877,
"line_max": 77,
"alpha_frac": 0.5515402844,
"autogenerated": false,
"ratio": 3.726269315673289,
"config_test": false,
... |
from elasticsearch.helpers import scan
from aleph.core import get_es, get_es_index
from aleph.model import Entity
from aleph.index import TYPE_RECORD
from aleph.search.fragments import text_query_string
from aleph.search.util import execute_basic
def records_query(document_id, args, size=5, snippet_size=100):
sh... | {
"repo_name": "OpenOil-UG/aleph",
"path": "aleph/search/records.py",
"copies": "1",
"size": "2801",
"license": "mit",
"hash": 5113146927476391000,
"line_mean": 28.4842105263,
"line_max": 70,
"alpha_frac": 0.5119600143,
"autogenerated": false,
"ratio": 3.884882108183079,
"config_test": false,
... |
from elasticsearch.helpers import streaming_bulk
from schema import Email
import json
import hashlib
import urllib
from es_connection import connections
def import_emails(emails):
done = 0
for report in streaming_bulk(connections.get_connection('default'), (
email_to_doc(email).to_dict(include_meta=Tr... | {
"repo_name": "simonw/dcinbox_explorer",
"path": "importer.py",
"copies": "1",
"size": "1381",
"license": "mit",
"hash": 4499087496771236000,
"line_mean": 28.3829787234,
"line_max": 73,
"alpha_frac": 0.6357711803,
"autogenerated": false,
"ratio": 3.6826666666666665,
"config_test": false,
"has... |
from elasticsearch import Connection
from signer import ESConnection
from urlparse import urlparse
import time
import os
class AWSConnection(Connection):
def __init__(self, host, region, **kwargs):
super(AWSConnection, self).__init__(host, region, **kwargs)
self.host = host
self.region =... | {
"repo_name": "elelsee/aws-es-connection",
"path": "awses/connection.py",
"copies": "1",
"size": "1796",
"license": "apache-2.0",
"hash": 2336602060926216700,
"line_mean": 40.7674418605,
"line_max": 114,
"alpha_frac": 0.5979955457,
"autogenerated": false,
"ratio": 4.109839816933638,
"config_tes... |
from elasticsearch import Connection
from signer import ESConnection
from urlparse import urlparse
import time
import os
class AWSConnection(Connection):
def __init__(self, host, region, port=9200, **kwargs):
super(AWSConnection, self).__init__(host, port, region, **kwargs)
self.host = host
... | {
"repo_name": "jamesboehmer/aws-es-connection",
"path": "awses/connection.py",
"copies": "1",
"size": "1813",
"license": "apache-2.0",
"hash": 8600833476030323000,
"line_mean": 41.1627906977,
"line_max": 114,
"alpha_frac": 0.5990071704,
"autogenerated": false,
"ratio": 4.083333333333333,
"confi... |
from elasticsearch import Elasticsearch, client, helpers
from functools import partial
import itertools
import logging
from math import ceil
import os
from Queue import Queue, Empty
import shutil
from threading import Lock, Thread
import tempfile
from time import gmtime, strftime, time
import yaml
logging.basicConfig(... | {
"repo_name": "flipagram/elasticity",
"path": "elasticity/__init__.py",
"copies": "2",
"size": "10915",
"license": "mit",
"hash": -6899777313386126000,
"line_mean": 36.252559727,
"line_max": 105,
"alpha_frac": 0.5763628035,
"autogenerated": false,
"ratio": 3.8071154516916637,
"config_test": tru... |
from elasticsearch import Elasticsearch,client
from snorkel import SnorkelSession
from snorkel.models import Document, Sentence,Span
from snorkel.viewer import SentenceNgramViewer
import os
import json
es = Elasticsearch()
session = SnorkelSession()
class ElasticSession:
#define document and index names
def __init... | {
"repo_name": "jasontlam/snorkel",
"path": "elastics.py",
"copies": "2",
"size": "9964",
"license": "apache-2.0",
"hash": -8973450495118035000,
"line_mean": 27.3068181818,
"line_max": 110,
"alpha_frac": 0.6219389803,
"autogenerated": false,
"ratio": 3.1966634584536413,
"config_test": false,
"... |
from elasticsearch import ElasticsearchException
from corehq.apps.es import CaseES, GroupES, LedgerES
from corehq.apps.es import FormES
from corehq.apps.es.aggregations import AggregationTerm, NestedTermAggregationsHelper
from corehq.elastic import get_es_new
def get_form_export_base_query(domain, app_id, xmlns, inc... | {
"repo_name": "qedsoftware/commcare-hq",
"path": "corehq/apps/export/esaccessors.py",
"copies": "1",
"size": "1794",
"license": "bsd-3-clause",
"hash": 6260563422845228000,
"line_mean": 31.6181818182,
"line_max": 103,
"alpha_frac": 0.6499442586,
"autogenerated": false,
"ratio": 3.5595238095238093... |
from elasticsearch import Elasticsearch, exceptions
import time
from flask import Flask, jsonify, request, render_template, redirect
import sys
import requests
from geomapper import *
es = Elasticsearch(host='es', port=9200)
URL = 'https://data.sfgov.org/resource/6a9r-agq8.json'
ES_INDEX = 'sfdata'
app = Flask(__name... | {
"repo_name": "jaypt/docker_foodtruck",
"path": "start_flask.py",
"copies": "1",
"size": "2768",
"license": "mit",
"hash": -1281430446491792600,
"line_mean": 28.1368421053,
"line_max": 73,
"alpha_frac": 0.5765895954,
"autogenerated": false,
"ratio": 3.51715374841169,
"config_test": false,
"ha... |
from elasticsearch import Elasticsearch, helpers
from elasticsearch_dsl import Search, Q, A
from aragwas.settings import ES_HOST
from gwasdb import serializers
from .parsers import parse_snpeff, parse_lastel
import logging
import json
import os
import numpy as np
import re
import operator
import datetime
from collect... | {
"repo_name": "1001genomes/AraGWAS",
"path": "aragwas_server/gwasdb/elastic.py",
"copies": "1",
"size": "32388",
"license": "mit",
"hash": 1668590746425088300,
"line_mean": 47.0534124629,
"line_max": 267,
"alpha_frac": 0.6162776337,
"autogenerated": false,
"ratio": 3.4028157175877287,
"config_t... |
from elasticsearch import Elasticsearch, helpers
import numpy as np
import os, json, requests, argparse
from stop_words import get_stop_words
import pandas
es = Elasticsearch()
stop_words = get_stop_words('en')
def mlts_query(doc_types, max_size):
q_size = 0
for doc_type in doc_types:
seeds = es.search(index="a... | {
"repo_name": "ERICUdL/ISTEX_MentalRotation",
"path": "elasticsearch/mlt.py",
"copies": "2",
"size": "2605",
"license": "bsd-3-clause",
"hash": -5881202065589677000,
"line_mean": 26.4210526316,
"line_max": 105,
"alpha_frac": 0.6349328215,
"autogenerated": false,
"ratio": 2.7683315621679063,
"co... |
from elasticsearch import Elasticsearch, helpers
class ESObjectList(object):
"""
Very simple wrapper around elastic search and django models
which creates a object list of django orm objects, which
have been found using elastic search.
This object list can then be used as input for the django pag... | {
"repo_name": "flupzor/newsdiffs",
"path": "news/es.py",
"copies": "2",
"size": "1784",
"license": "mit",
"hash": 4853334390274621000,
"line_mean": 33.3076923077,
"line_max": 96,
"alpha_frac": 0.6025784753,
"autogenerated": false,
"ratio": 4.361858190709047,
"config_test": false,
"has_no_keyw... |
from elasticsearch import Elasticsearch
from datetime import date, timedelta
import os
from utils import *
from constants import *
class SyncHinxtonLondon:
"""
This class will create backup for elasticsearch using following procedure:
1. Create snapshot on test server
2. Sync snapshot files to fallba... | {
"repo_name": "FAANG/faang-portal-backend",
"path": "scripts/sync_hx_hh.es.py",
"copies": "1",
"size": "5662",
"license": "apache-2.0",
"hash": -66442079398081380,
"line_mean": 40.0289855072,
"line_max": 113,
"alpha_frac": 0.6231013776,
"autogenerated": false,
"ratio": 4.187869822485207,
"confi... |
from elasticsearch import Elasticsearch
from datetime import datetime
from utils import remove_underscore_from_end_prefix, insert_into_es, insert_es_log, \
write_system_log, get_line_number
from get_all_etags import fetch_biosample_ids
from columns import *
from misc import *
from typing import Dict
import validate... | {
"repo_name": "FAANG/faang-portal-backend",
"path": "scripts/import_from_biosamples.py",
"copies": "1",
"size": "61081",
"license": "apache-2.0",
"hash": -8538464297635204000,
"line_mean": 46.8691222571,
"line_max": 120,
"alpha_frac": 0.6105499255,
"autogenerated": false,
"ratio": 3.7027764306498... |
from elasticsearch import Elasticsearch
from elasticsearch.client import IndicesClient
import numpy as np
import datetime as dt
import math
import json
import pprint
with open("config", "r+") as txt:
contents = list(map(str.rstrip, txt))
es = Elasticsearch([{
'host': contents[4], 'port': contents[5]
}], timeo... | {
"repo_name": "robogen/CMS-Mining",
"path": "RunScripts/index_reseter.py",
"copies": "1",
"size": "8101",
"license": "mit",
"hash": -6480192778512500000,
"line_mean": 42.320855615,
"line_max": 79,
"alpha_frac": 0.4008147142,
"autogenerated": false,
"ratio": 5.267230169050715,
"config_test": fal... |
from elasticsearch import Elasticsearch
from elasticsearch_dsl.connections import connections
from elasticsearch_dsl import Index, Mapping, DocType, String, Integer, analyzer, tokenizer, token_filter
from elasticsearch_dsl.query import Match, Bool
from review_parser.reviewtrack import ReviewTrack
####
# Custom Name An... | {
"repo_name": "hidat/audio_pipeline",
"path": "review_parser/elastic.py",
"copies": "1",
"size": "5190",
"license": "mit",
"hash": -3486015303903436000,
"line_mean": 37.1617647059,
"line_max": 158,
"alpha_frac": 0.6132947977,
"autogenerated": false,
"ratio": 3.905191873589165,
"config_test": fa... |
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search, document, field, connections, Q
from elasticsearch_dsl.connections import connections
import codecs
import glob
import json
from prettyprint import pp
class Book(document.DocType):
# authors = field.Nested(properties={'name': field.Stri... | {
"repo_name": "erfannoury/GoodSearcher",
"path": "elasticsearch-test.py",
"copies": "1",
"size": "3397",
"license": "mit",
"hash": 315959568624454700,
"line_mean": 38.5,
"line_max": 213,
"alpha_frac": 0.6576390933,
"autogenerated": false,
"ratio": 3.5985169491525424,
"config_test": false,
"ha... |
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search
from elasticsearch_dsl.query import Q
import nltk
import hunspell
import wordsegment as ws
from operator import itemgetter
from flask import *
spellchecker = hunspell.HunSpell('/usr/share/hunspell/en_US.dic',\
... | {
"repo_name": "signalw/plotsearch",
"path": "libs/search_engine.py",
"copies": "1",
"size": "2679",
"license": "mit",
"hash": 7780985284232813000,
"line_mean": 35.698630137,
"line_max": 92,
"alpha_frac": 0.5390070922,
"autogenerated": false,
"ratio": 3.860230547550432,
"config_test": false,
"... |
from elasticsearch import Elasticsearch
from elasticsearch.exceptions import NotFoundError
class ESClient:
def __init__(self, es_params):
self.es = Elasticsearch(es_params)
def get_metric_metadata(self, metric_name, tenant_id):
"""
Get document from index metric_metadata for a given m... | {
"repo_name": "ChandraAddala/blueflood",
"path": "contrib/enum_metrics/enum_metrics/esclient.py",
"copies": "3",
"size": "2258",
"license": "apache-2.0",
"hash": 964716548201746600,
"line_mean": 40.0545454545,
"line_max": 115,
"alpha_frac": 0.6443755536,
"autogenerated": false,
"ratio": 3.8206429... |
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from elasticsearch_dsl import DocType, String, Date, Integer
from elasticsearch_dsl.connections import connections
import logging
import sqlite3
import parsers
import collections
import itertools
import json
from datetime import datetime
imp... | {
"repo_name": "rolisz/Log",
"path": "src/data/elasticsearch_importer.py",
"copies": "1",
"size": "2584",
"license": "mit",
"hash": -4653800577049802000,
"line_mean": 28.3636363636,
"line_max": 88,
"alpha_frac": 0.6907894737,
"autogenerated": false,
"ratio": 3.468456375838926,
"config_test": fal... |
from elasticsearch import Elasticsearch
from elasticsearch.helpers import *
import json
import sys
import math
import time
import datetime
def streaming_bulk2(client, actions, chunk_size=500, raise_on_error=False, expand_action_callback=expand_action, **kwargs):
"""
Streaming bulk consumes actions from the it... | {
"repo_name": "zazasa/esreindex",
"path": "esreindex.py",
"copies": "1",
"size": "11851",
"license": "mit",
"hash": -286895656927082780,
"line_mean": 35.0212765957,
"line_max": 155,
"alpha_frac": 0.6064467134,
"autogenerated": false,
"ratio": 3.8754087638979726,
"config_test": false,
"has_no_... |
from elasticsearch import Elasticsearch
from elasticsearch.helpers import scan
from unicodedata import normalize
ctrl = [0]
def index_top_results(doc, docid, es):
query = {'query': { 'multi_match': {
"query": doc['name'],
"type": "phrase",
"slop": 1,
"fields": ["description", "plain... | {
"repo_name": "xkxx/algodb",
"path": "lang-pkgs/npm/link-top-results.py",
"copies": "1",
"size": "1593",
"license": "mit",
"hash": -4198025727782948400,
"line_mean": 31.5102040816,
"line_max": 87,
"alpha_frac": 0.5260514752,
"autogenerated": false,
"ratio": 3.6620689655172414,
"config_test": fa... |
from elasticsearch import Elasticsearch
from elasticsearch.helpers import scan
import requests
import redis
import json
import wikipedia as wiki
from sys import argv
def normalize(str):
str = ''.join(e for e in str.lower())
return '-'.join(str.split())
def printPkgContent(pkgName):
pkg = requests.get("htt... | {
"repo_name": "xkxx/algodb",
"path": "lang-pkgs/npm/manual_tagger.py",
"copies": "1",
"size": "2216",
"license": "mit",
"hash": -7146853426679362000,
"line_mean": 27.7792207792,
"line_max": 72,
"alpha_frac": 0.5573104693,
"autogenerated": false,
"ratio": 3.749576988155668,
"config_test": false,... |
from elasticsearch import Elasticsearch
from elasticsearch.helpers import streaming_bulk
from mapping_schema import mapping_schema
import os
import time
class ESMapping:
def __init__(self, es_host, es_index, aws, chunk_size):
self.chunk_size = chunk_size
if aws == "true":
self.es = El... | {
"repo_name": "nathandunn/agr",
"path": "indexer/src/mapping/es_mapping.py",
"copies": "3",
"size": "4577",
"license": "mit",
"hash": 6069026832428646000,
"line_mean": 35.624,
"line_max": 135,
"alpha_frac": 0.5516714005,
"autogenerated": false,
"ratio": 3.7764026402640263,
"config_test": false,... |
from elasticsearch import Elasticsearch
from elasticsearch import exceptions
from config import ELASTICSEARCH_HOST, ELASTICSEARCH_PORT
class UserManager(object):
index = 'users'
doc_type = 'user'
def __init__(self, elasticsearch):
self.elasticsearch = elasticsearch
# TODO need to create ... | {
"repo_name": "newgene/tornado_auth_orcid",
"path": "user_manager.py",
"copies": "1",
"size": "1806",
"license": "apache-2.0",
"hash": -3355719717601508400,
"line_mean": 33.0754716981,
"line_max": 101,
"alpha_frac": 0.6196013289,
"autogenerated": false,
"ratio": 3.7941176470588234,
"config_test... |
from elasticsearch import Elasticsearch
from elasticsearch import helpers
from collections import Counter
from mapping import buildMapping
import requests
import pandas as pd
import re
import json
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])
res = requests.get('http://localhost:9200')
def deleteIndex(in... | {
"repo_name": "dtsukiyama/suits",
"path": "named-entity-recognizer/elastic.py",
"copies": "2",
"size": "3710",
"license": "mit",
"hash": -4112753072510784500,
"line_mean": 32.7363636364,
"line_max": 105,
"alpha_frac": 0.5994609164,
"autogenerated": false,
"ratio": 4.192090395480226,
"config_tes... |
from elasticsearch import Elasticsearch
from elasticsearch import helpers
from collections import deque
import config
import datetime
import time
import gzip
import requests
#could be over 17 million of these
batch_size=100000
url="http://localhost:9200/semmeddb/_search/"
headers = {'Content-Type': 'application/json... | {
"repo_name": "MRCIEU/melodi",
"path": "semmeddb-index/scripts/create_semmed_counts.py",
"copies": "1",
"size": "3123",
"license": "mit",
"hash": 1804340248589006800,
"line_mean": 33.3186813187,
"line_max": 301,
"alpha_frac": 0.65129683,
"autogenerated": false,
"ratio": 2.810981098109811,
"conf... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.