Python py2neo.authenticate函数代码示例

    def connect_to_db(self, uri, username, password):
        if (uri is None) or (username is None) or\
           (password is None):
               raise ValueError('Null Argument detected')

        authenticate(uri, username, password)
        return Graph()

def FindSimilarRepositories(InputrepoK):
	#Sanitize input
	Inputrepo = bleach.clean(InputrepoK).strip()
	host  = os.environ['LOCALNEO4JIPPORT']
	login = os.environ['LOCALNEO4JLOGIN']
	password = os.environ['LOCALNEO4JPASSWORD']
	authenticate(host,login,password)
	graph = Graph(os.environ['neoURLlocal'])
	output = ""
	path1 = "<a href=\"/?q=repository "
	path2 = "&amp;action=Search\"  class=\"repositoryinfo\">"
	path3 = "</a>"

    #Find similar repository > 1 connections
	query1="MATCH (a {id:\"" + Inputrepo + "\"})"
	query2="-[r1:IS_ACTOR|IN_ORGANIZATION]->(match)<-[r2:IS_ACTOR|IN_ORGANIZATION]-(b) "
	query3="with b, collect (distinct match.id) as connections, collect (distinct type(r1)) as rel1 "
	query4="where length(connections) >= 1 return b.id,length(connections) as count,length(rel1) as rel "
	query5="order by length(connections)  desc limit 5" 
	
	query = query1 + query2 + query3 + query4 + query5 
	#print query
	
	a = graph.cypher.execute(query)
	for record in a:
		if (record['rel'] < 2):
   		 	output += "<li>" + path1 + record['b.id'] + path2 + record['b.id'] + path3 + ": " + str(record['count']) + " contributors in common</li>"
   		else:
   			output += "<li>" + path1 + record['b.id'] + path2 + record['b.id'] + path3 + ": " + str(record['count']-1) + " contributors in common &amp; belong to same organization</li>"
 	if (len(output) > 0):
 		return ("<ul>" + output + "</ul>") 
 	else:
 		#Nothing found!
   		return "<span class=\"text-danger\">You got me stumped!</span>"

def createRelationshipWithProperties():
    print("Start - Creating Relationships")
    # Authenticate the user using py2neo.authentication
    # Ensure that you change the password 'sumit' as per your database configuration.
    py2neo.authenticate("localhost:7474", "neo4j", "sumit")
    # Connect to Graph and get the instance of Graph
    graph = Graph("http://localhost:7474/db/data/")
    # Create Node with Properties
    amy = Node("FEMALE", name="Amy")
    # Create one more Node with Properties
    kristine = Node("FEMALE",name="Kristine")
    # Create one more Node with Properties
    sheryl = Node("FEMALE",name="Sheryl")
    
    #Define an Object of relationship which depicts the relationship between Amy and Kristine
    #We have also defined the properties of the relationship - "since=2005" 
    #By Default the direction of relationships is left to right, i.e. the -->
    kristine_amy = Relationship(kristine,"FRIEND",amy,since=2005)
    
    #This relationship is exactly same as the earlier one but here we are using "Rev"
    #"py2neo.Rev = It is used to define the reverse relationship (<--) between given nodes
    amy_sheryl=Relationship(amy,Rev("FRIEND"),sheryl,since=2001)
    
    #Finally use graph Object and Create Nodes and Relationship
    #When we create Relationship between, then Nodes are also created. 
    resultNodes = graph.create(kristine_amy,amy_sheryl)
    #Print the results (relationships)
    print("Relationship Created - ",resultNodes)

def following2(n):
	authenticate("localhost:7474", "neo4j", "parola")
        graph = Graph("http://localhost:7474/db/data/")
        followingResults = graph.cypher.execute("MATCH (a)-[r:FOLLOWS]->(b) WHERE id(a)= "+n+" RETURN b")
        followingName = []
	for person in followingResults:
		cleanName = re.findall('"([^"]*)"', str(person[0]))
		cleanName[2] = str (int(cleanName[2]) - 1) 
		followingName.append(cleanName)
        followerResults = graph.cypher.execute("MATCH (a)-[r:FOLLOWS]->(b) WHERE id(b)= "+n+" RETURN a")
        followerName = []
        for person in followerResults:
                cleanName = re.findall('"([^"]*)"', str(person[0]))
                cleanName[2] = str (int(cleanName[2]) - 1)
		followerName.append(cleanName)
	thisUser = graph.cypher.execute("Match (joe) where id(joe)= "+n+" return joe")
	thisUserCleanName = re.findall('"([^"]*)"', str(thisUser[0][0]))
	userPostResult = graph.cypher.execute("MATCH (a)-[r:POSTED]->(b)<-[t:LIKES]-(q) WHERE id(a)="+n+"  RETURN b.Name,b.id ,count(t) ORDER BY count(t) DESC")
	userPosts = []
	for post in userPostResult:
		cleanName = re.findall('"([^"]*)"', str(post[0]))
		userPosts.append(userPostResult)
	recommendationsResult = graph.cypher.execute("MATCH (joe)-[:FOLLOWS*2..2]->(friend_of_friend) WHERE NOT (joe)-[:FOLLOWS]-(friend_of_friend) and friend_of_friend.id <> joe.id and id(joe) = "+n+" RETURN friend_of_friend.Name,friend_of_friend.Username,friend_of_friend.id,Count(*) ORDER BY COUNT(*) DESC , friend_of_friend.Name LIMIT 10")
	return render_template("index.html",
                        title='Home',
                        followings=followingName,
			followers=followerName,
			followingcount = len(followingName),
			followercount = len(followerName),
			thisUser = thisUserCleanName,
			posts=userPosts,
			recommendations = recommendationsResult)

 def __init__(self):
     authenticate("localhost:7474", "neo4j", "vai")
     global graph
     graph = Graph("http://localhost:7474/db/data/")
     global minSimilarityScore
     minSimilarityScore=0.2
     global fileName

    def make_sequence(self):
        authenticate(settings.NeoHost, settings.NeoLog, settings.NeoPass)
        graph = Graph("{0}/db/data/".format(settings.NeoHost))
        query = """MATCH (start:Video)-[:Jaccard*5..10]->(sequence:Video) 
        WHERE start<>sequence MATCH p=shortestPath((start:Video)-[:Jaccard*]->(sequence:Video)) 
        WHERE NONE (n IN nodes(p) WHERE size(filter(x IN nodes(p) WHERE n = x))> 1)  
        RETURN EXTRACT(n IN NODES(p)|[n.id, n.rating]) LIMIT 100000"""
   
        r1 = graph.run(query).data()
        k = 0
        for i in r1:
            #print(i.values)
            for video in i['EXTRACT(n IN NODES(p)|[n.id, n.rating])']:
                 #print(video)
                 self.seq_ids.append(k)
                 self.video_ids.append(video[0])
                 self.ratings.append(video[1])
            k+=1
        data = {'sequence': self.seq_ids, 'video': self.video_ids, 'rating': self.ratings}
        df = pd.DataFrame(data)
        df = df[pd.notnull(df['video'])]
        print(df)
        dz = df.groupby('sequence')['rating'].std()
        print(dz)

        path = '{0}/{1}/'.format(settings.VideosDirPath, self.game)
        if not os.path.exists(path):
            os.makedirs(path)
        file_name = '{0}/sequences.csv'.format(path)
        df.to_csv(file_name, encoding='utf-8')
        summary_data = '{0}/summary.csv'.format(path)
        dz.to_csv(summary_data, encoding='utf-8')
        return

 def authenticate(self, username, password):
     try:
         from py2neo import authenticate
         authenticate(self.host_port, username, password)
         return True
     except ImportError:
         return False

 def connectGraph(self):
     # Authenticate the user using py2neo.authentication
     # Ensure that you change the password 'sumit' as per your database configuration.
     py2neo.authenticate("localhost:7474", "neo4j", "sumit")
     # Connect to Graph and get the instance of Graph
     graph = Graph("http://localhost:7474/db/data/")
     return graph

    def __init__(self):

        self.logger = open("zalando_logger","a")
        self.logger.write("Checking for directory...\n")
        self.logger.write("Creating Zalando Object...\nInitializing Object variables...\n")
        self.set_directory()
        self.BASE_URL = "https://www.zalando.co.uk"
        self.initial_page = ['https://www.zalando.co.uk/womens-clothing','https://www.zalando.co.uk/mens-clothing']
        self.parameters = ['Women','Men']
        self.subcategories = [dict() for x in range(2)]
        authenticate("localhost:7474","neo4j","awdr.;/")
        self.zalando_graph = Graph()
        try:
            self.zalando_graph.schema.create_uniqueness_constraint('Zalando', 'article_number')
        except Exception as e:
            self.logger.write("uniqueness constraint already set\n")
        self.count = 0
        self.xml_root = Element('Properties')
        self.properties = open("clothing_properties.xml","w")

        self.logger.write("Zalando Object: " + str(self)+"\n")

        for i in range(len(self.initial_page)):
            page_html = requests.get(self.initial_page[i]).content
            page_soup = BeautifulSoup(page_html,"lxml")
            self.get_clothing_attributes(page_soup,i)
            self.build_zalando_database(page_soup,self.parameters[i])
            self.set_attributes(i)
        self.properties.write(tostring(self.xml_root))

	def connect(self):
		conf = self.get_config()
		authenticate(conf['host'] + ":" + conf['port'],conf['username'],conf["password"])
		try:
			self.neo = Graph("http://" + conf['host'] + ":" + conf["port"] + "/db/data")
		except:
			print "Failed to connect!"

def main(project_directory, ignore_files):
    authenticate("localhost:7474", "neo4j", "haruspex")
    graph_db = Graph()
    dossier = os.path.join(project_directory + "/pages")

    if os.path.exists(dossier):
        # Pour chaque fiche, analyser son contenu
        # et créer les noeuds/liens correspondants
        files = [f for f in listdir(dossier) if isfile(join(dossier, f))]

        for fiche in files:
            if (fiche not in ignore_files):
                fiche_analysee = analyseFiche(fiche, dossier, graph_db)
                ficheDocumentation(fiche_analysee, "references", dossier,
                                   ignore_files[0], graph_db)
                ficheDocumentation(fiche_analysee, "images", dossier,
                                   ignore_files[1], graph_db)
    else:
        files = [f for f in listdir(project_directory) if (isfile(join(project_directory, f)) and f.endswith('.txt'))]
        #TODO récupérer les métadonnées d'omeka sur les documents
        for document in files:
            print(document.strip(project_directory))
            fiche = Fiche(document.replace(project_directory,'').replace('.txt', ''), '', '',
                          '', '', '')
            fiche.create_node(graph_db)

def main():
    define("host", default="127.0.0.1", help="Host IP")
    define("port", default=8080, help="Port")
    define("neo4j_host_port", default='127.0.0.1:7474', help="Neo4j Host and Port")
    define("neo4j_user_pwd", default='neo4j:neo4j', help="Neo4j User and Password")
    tornado.options.parse_command_line()

    print('Connecting to Neo4j at {0}...'.format(options.neo4j_host_port))
    user = options.neo4j_user_pwd.split(':')[0]
    pwd = options.neo4j_user_pwd.split(':')[1]
    authenticate(options.neo4j_host_port, user, pwd)
    db = Graph('http://{0}/db/data/'.format(options.neo4j_host_port))

    template_dir = os.getenv('OPENSHIFT_REPO_DIR', os.path.dirname(__file__))
    template_dir = os.path.join(template_dir, 'templates')
    static_dir = os.getenv('OPENSHIFT_DATA_DIR', os.path.dirname(__file__))
    static_dir = os.path.join(static_dir, 'static')

    settings = {
        'static_path': static_dir,
        'template_path': template_dir
    }

    application = Application([
                                  (r'/image/([^/]*)', ImageHandler, dict(directory=cache_dir)),
                                  (r'/users/?', MainHandler, dict(db=db)),
                                  (r'/?', HomeHandler)
                              ],
                              **settings)

    print('Listening on {0}:{1}'.format(options.host, options.port))
    application.listen(options.port, options.host)
    tornado.ioloop.IOLoop.instance().start()

def import_api_data2():
    authenticate("localhost:7474", "neo4j", "1111")
    graph = Graph()
    #graph.delete_all()

    # Uncomment on the first run!
    #graph.schema.create_uniqueness_constraint("Borjnuk", "id")
    #graph.schema.create_uniqueness_constraint("Obtaj", "id")
    #graph.schema.create_uniqueness_constraint("Property", "id")

    obtajenna = get_objects_art('obtaj')

    for api_obtaj in obtajenna:

        node_obtaj= graph.merge_one("Obtaj", "id", api_obtaj["id"])
        node_obtaj["reason_doc"] = api_obtaj["reason_doc"]
        node_obtaj["cost_size"] = api_obtaj["cost_size"]

        for api_author in api_obtaj["borjnuku"]:
            node_borjnuk = graph.merge_one("Borjnuk", "id", api_author["id"])
            node_borjnuk["name"] = api_author["name"]
            node_borjnuk["tel_number"] = api_author["tel_number"]
            node_borjnuk.push()
            graph.create_unique(Relationship(node_borjnuk, "obtajuetsa", node_obtaj))

        for api_property in api_obtaj["properties"]:
            node_property = graph.merge_one("Property", "id", api_property["id"])
            node_property["name"] = api_property["name_property"]
            node_property["ser_number"] = api_property["ser_number"]
            node_property.push()
            graph.create_unique(Relationship(node_property, "zakladena", node_obtaj))
        node_obtaj.push()

def getTestedNeo4jDB(graphDBurl, graphDbCredentials):
    '''Gets a Neo4j url and returns a GraphDatabaseService to the database
    after having performed some trivial tests'''
    try:
        if graphDbCredentials:
            authenticate(*graphDbCredentials)
        graphDb = Graph(graphDBurl)
        #just fetch a Node to check we are connected
        #even in DRY RUN we should check Neo4j connectivity
        #but not in OFFLINE MODE
        if not OFFLINE_MODE:
            _ = iter(graphDb.match(limit=1)).next()
    except StopIteration:
        pass
    except SocketError as ex:
        raise DbNotFoundException(ex, "Could not connect to Graph DB %s."
                                  % graphDBurl)

    if not DRY_RUN and not OFFLINE_MODE:
        try:
            test_node = Node("TEST", data="whatever")
            graphDb.create(test_node)
            graphDb.delete(test_node)
        except Exception as ex:
            raise DBInsufficientPrivileges(\
                    "Failed on trivial operations in DB %s." % graphDBurl)

    return graphDb

def filter_by_path(recommendations, user_interests):
  # print len(recommendations),len(user_interests)
  authenticate("localhost:7474", "neo4j", "password")
  res = []
  g = Graph()
  min_len = -1
  MAX_PATH = 3
  for i in xrange(len(recommendations)):
    for j in xrange(len(user_interests)):
        query = "MATCH (from:Product { pid:'" + recommendations[i] + "' }), (to:Product { pid: '" + user_interests[j] + "'}) , path = shortestPath(from-[:TO*]->to ) RETURN path"
        results = g.cypher.execute(query)
        path_len = len(str(results).split(":TO")) - 1
        # print "PATH LEN",path_len
        if path_len == 0:
          continue
        if path_len < MAX_PATH:
          min_len = path_len
          break
        # if min_len == -1 or path_len < min_len:
        #     min_len = path_len
    # print "MIN LEN",min_len
     
    if min_len < MAX_PATH and min_len != -1:
        res.append(recommendations[i])
    min_len = -1

  return res