summaryrefslogtreecommitdiff
path: root/src/server-tests/test_util__rzdoc.py
blob: 5371c4aa337852da8a9e1e7a1436140c0a88aa95 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
#    This file is part of rhizi, a collaborative knowledge graph editor.
#    Copyright (C) 2014-2015  Rhizi
#
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Affero General Public License as published
#    by the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU Affero General Public License for more details.
#
#    You should have received a copy of the GNU Affero General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.


from db_op import DBO_raw_query_set
import neo4j_util


class DBO_RDG__skill_graph(DBO_raw_query_set):

    def __init__(self, rzdoc,
                       lim_n=50,
                       lim_r=10000,
                       prob_link_create=0.03,
                       name_set=['Bruce Lee', 'Kesuke Miyagi'],
                       skill_set=['Kung Foo', 'Karate'],
                       skill_level_set=['Novice', 'Intermediate', 'Expert']
                      ):
        """
        Random data generator:
           - Name x Skill[proficiency: {Novice|Intermediate|Expert}]
        """
        super(DBO_RDG__skill_graph, self).__init__()

        rzdoc_label = neo4j_util.rzdoc__ns_label(rzdoc)
        min_id = 10000  # separate group ids with numerical perfix

        # create persons
        q_arr = ['with {name_set} as n_attr_set',  # TODO clean: foreach triggers SyntaxException: otherwise
                 'foreach (idx in range(0,%d)' % (lim_n - 1),
                 '|',
                 'create (n:%s:%s' % (rzdoc_label, 'Person'),
                 '{id: \'test-id_\' + toString(%d + idx),' % (min_id),
                  'name: n_attr_set[idx %% %d]}' % (len(name_set)),
                 '))',
                ]
        q_param = {'name_set': name_set}
        self.add_statement(q_arr, q_param)
        min_id *= 2

        # create skills
        q_arr = ['with {skill_set} as skill_set',  # TODO clean: foreach triggers SyntaxException: otherwise
                 'foreach (idx in range(0,%d)' % (len(skill_set) - 1),
                 '|',
                 'create (n:%s:%s' % (rzdoc_label, 'Skill'),
                 '{id: \'test-id_\' + toString(idx + %d),' % (min_id),
                  'name: skill_set[idx]}',
                 '))',
                ]
        q_param = {'skill_set': skill_set}
        self.add_statement(q_arr, q_param)
        min_id *= 2

        # create links
        for skill_level in skill_level_set:
            q_arr = ['match (n:%s),(m:%s)' % ('Person', 'Skill'),
                     'with n, m, rand() as rand',
                     'order by rand',
                     'limit %d' % (lim_r - 1),
                     'where rand() < %.2f' % (prob_link_create),
                     'create (n)-[r:%s' % (skill_level),
                     '{id: \'test-id_\' + toString(%d + toInt(%d * rand())),' % (min_id, lim_r * 100000),  # aim for low id collision probability,
                     'proficiency: \'%s\'}' % (skill_level),
                     ']->(m)',
                     'return collect(r.id)',
                     ]

            self.add_statement(q_arr, q_param)