summaryrefslogtreecommitdiff
path: root/src/local/domain/cri.rhizi.net/test_domain__CRI.py
blob: 5a28c80399c2f86792fdc88712775e8d8a5f8784 (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
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
import inspect
import logging
import tempfile
import unittest

import db_controller as dbc
from db_op import DBO_raw_query_set, DBO_rzdoc__create
from neo4j_test_util import rand_label
from rz_config import RZ_Config
from test_util import generate_random_RZDoc
from test_util__pydev import debug__pydev_pd_arg
from test_util__rzdoc import DBO_RDG__skill_graph


class Test_Domain_CRI(unittest.TestCase):

    @classmethod
    def setUpClass(self):
        cfg = RZ_Config.init_from_file('res/etc/rhizi-server.conf')
        self.db_ctl = dbc.DB_Controller(cfg.neo4j_url)
        self.log = logging.getLogger('rhizi')
        self.log.addHandler(logging.StreamHandler())

    def test_random_data_generation__domain__CRI(self, export_as_csv=True):
        """
        test:
           - random CRI domain data generation
           - DB dump in cvs format: person x skill x skill-level
        """

        skill_set = ['Cryptocurrency',
                     'Database architecture',
                     'Web-development',
                     'Mobile-development',
                     'Machine learning',
                     'Guitar Playing',
                     'Image processing',
                     'Algebra',
                     'Calculus',
                     'Molecular-Biology',
                     'Graphic design',
                     'Geo-location services',
                     'Drone-building',
                     'Artificial-intelligence',
                     'Distributed information systems',
                     'Wordpress',
                     'Woodworking',
                     'Quality-control',
                     'Video-editing',
                     'Soldering',
                     'Network engineering',
                     'GIT',
                     'Electronic music',
                     'Network administration']

        name_set = ['John',
                    'William',
                    'James',
                    'Charles',
                    'George',
                    'Frank',
                    'Joseph',
                    'Thomas',
                    'Henry',
                    'Robert',
                    'Edward',
                    'Harry',
                    'Walter',
                    'Arthur',
                    'Fred',
                    'Albert',
                    'Samuel',
                    'David',
                    'Louis',
                    'Joe',
                    'Charlie',
                    'Clarence',
                    'Richard',
                    'Andrew',
                    'Daniel',
                    'Ernest',
                    'Mary',
                    'Anna',
                    'Emma',
                    'Elizabeth',
                    'Minnie',
                    'Margaret',
                    'Ida',
                    'Alice',
                    'Bertha',
                    'Sarah',
                    'Annie',
                    'Clara',
                    'Ella',
                    'Florence',
                    'Cora',
                    'Martha',
                    'Laura',
                    'Nellie',
                    'Grace',
                    'Carrie',
                    'Maude',
                    'Mabel',
                    'Bessie',
                    'Jennie',
                    'Gertrude',
                    'Julia']

        test_label = rand_label()
        rzdoc = generate_random_RZDoc(test_label)

        op = DBO_rzdoc__create(rzdoc)
        self.db_ctl.exec_op(op)

        op = DBO_RDG__skill_graph(rzdoc,
                                  lim_n=10,
                                  skill_set=skill_set,
                                  name_set=name_set)
        self.db_ctl.exec_op(op)

        if False == export_as_csv:
            return

        q_arr = ['match (n: Person)',
                 'with n',
                 'match (n)-[r:Novice|Intermediate|Expert]->(m:Skill)',  # [!] expect link type to be proficiency level
                 'return n.name, collect({skill_name: m.name, skill_level: r.proficiency})'
                 ]
        op = DBO_raw_query_set(q_arr)

        #
        # write csv file
        #
        cur_f_name = inspect.stack()[0][3]
        def q_process_result_set():
            with tempfile.NamedTemporaryFile(prefix='rz_%s' % (cur_f_name), dir='/tmp', suffix='.csv', delete=False) as f_out:
                for _, _, r_set in op.iter__r_set():
                    for row in r_set:
                        person_name, skill_dict_set = row  # person to {sname: skill, s:pro: skill_level{ dict set
                        cvs_line_arr = [person_name]
                        for skill_dict in skill_dict_set:
                            skill_name = skill_dict['skill_name']
                            skill_level = skill_dict['skill_level']
                            cvs_line_arr += [skill_name, skill_level]
                        f_out.write(','.join(cvs_line_arr) + '\n')
                f_out.write('\n')

        op.process_result_set = q_process_result_set
        self.db_ctl.exec_op(op)

@debug__pydev_pd_arg
def main():
    unittest.main()

if __name__ == "__main__":
    main()