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How to use sample_stores method in localstack

Best Python code snippet using localstack_python

test_stores.py

Source:test_stores.py

...5    CrossRegionAttribute,6    LocalAttribute,7)8@fixture9def sample_stores() -> AccountRegionBundle:10    class SampleStore(BaseStore):11        CROSS_REGION_ATTR = CrossRegionAttribute(default=list)12        region_specific_attr = LocalAttribute(default=list)13    return AccountRegionBundle("zzz", SampleStore, validate=False)14class TestStores:15    def test_store_reset(self, sample_stores):16        """Ensure reset functionality of Stores and encapsulation works."""17        account1 = "696969696969"18        account2 = "424242424242"19        eu_region = "eu-central-1"20        ap_region = "ap-south-1"21        store1 = sample_stores[account1][eu_region]22        store2 = sample_stores[account1][ap_region]23        store3 = sample_stores[account2][ap_region]...

analysis.py

Source:analysis.py

1#!/usr/bin/env python2# -*- coding: utf-8 -*-3from pprint import pprint as pp4import json5from zipfile import ZipFile6import pymongo7outfile = 'openstreetmapdata.json'8# insert into MongoDB database9connection = pymongo.MongoClient('localhost', 27017)10if 'openstreetmap' in connection.list_database_names():11    db = connection['openstreetmap']12    db.main.drop() 13    print('Deleted existing database')14print 'Making new database openstreetmap'15db = connection['openstreetmap']16with open(outfile) as f:17    data = [json.loads(line) for line in f]18    db.main.insert_many(data)19	20# explore the db with PyMongo21#find size stats of database22# database stats23stats = 'dbstats', db.command('dbstats')  24pp(stats)25#size of file in KB26print db.command('dbstats')['storageSize'] / 1024, 'KB file'27# how many nodes, ways, and relations28print29print db.main.find().count(), 'total documents\n'30print db.main.count_documents({'type':'node'}), 'nodes'31print db.main.count_documents({'type':'way'}), 'ways'32print db.main.count_documents({'type':'relation'}), 'relations\n'33#how many unique users34print len(db.main.distinct('created.user')), 'unique users\n'35#Which 5 users contributed the most to the data?36result = db.main.aggregate([{'$group' : { '_id' : '$created.user',37                                       'count' : {'$sum': 1}}},38                            {'$sort' : {'count' : -1 }},39                            {'$limit' : 5}])40print 'Top 5 contributers'41for doc in result:42    print doc43	44# number of busstops45print db.main.count_documents({'highway':'bus_stop'}), 'bus stops'46# which node is referenced the most?47    48result = db.main.aggregate([ {'$match' : {'type' : {'$in': ['way', 'relation']}}},49                           {'$unwind': '$node_refs'},50                           {'$group': {'_id' : '$node_refs',51                                      'count' :{'$sum': 1}}},52                           {'$sort' : { 'count' : -1 }},53                           {'$limit' : 1 }])54print 'Here is the most referenced node:\n'55for doc in result:    56    id = doc['_id']57    for i in db.main.find({'id' : id}):58        pp(i)59        print 'Referenced in', doc['count'], 'records'60        coords = i['pos']61# 5 closest retaurants to that node62#build index on id, geo2d index on pos field63db.main.create_index([('pos', pymongo.GEO2D)])64closest_restaurants = db.main.find({'pos' : {'$near':  coords}, 'amenity' : 'restaurant'}).limit(5)65print '\nFive nearest restaurants \n'66for i in closest_restaurants:    67    print i['name']68    if 'address' in i:69        print i['address']['housenumber'], i['address']['street']70    else:71        print 'No address given'72    if 'cuisine' in i:73        print 'Cuisine', i['cuisine']74    print '----------------'75# give us 3 restaurants that are missing address data76sample_restaurants = db.main.find({'type' : 'node', 'amenity':'restaurant', 'address': {'$exists' : False}}).limit(3)77print 'Restaurants'78for doc in sample_restaurants:79    pp(doc)80    print81# give us 3 shops that are missing address data82sample_stores = db.main.find({'shop' : {'$exists' : True}, 'address' : {'$exists' : False}}).limit(3)83print 'Shops'84for doc in sample_stores:85    pp(doc)86    print...

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