refactoring DBO_RDG__skill_graph out of Test_Domain_CRI

1 files changed, 0 insertions, 140 deletions

diff --git a/src/local/domain/cri.rhizi.net/domain_cri.py b/src/local/domain/cri.rhizi.net/domain_cri.py
deleted file mode 100644
index db6ed925..00000000
--- a/src/local/domain/cri.rhizi.net/domain_cri.py
+++ /dev/null
@@ -1,140 +0,0 @@
-from db_op import DB_op
-
-class DBO_random_data_generation__domain__CRI(DB_op):
-
-    def __init__(self, lim_n=50,
-                       lim_r=10000,
-                       prob_link_create=0.03):
-        """
-        generate random data: CRI domain: Person x Skill
-        """
-        super(DBO_random_data_generation__domain__CRI, self).__init__()
-
-        n_attr_set__skill_raw = ['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']
-
-        n_attr_set__skill = []
-        for s in n_attr_set__skill_raw:
-            n_attr_set__skill.append(s)
-
-        n_attr_set__name = ['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']
-
-        l_attr_set__level = ['Novice', 'Intermediate', 'Expert']
-
-
-        min_id = 10000  # separate group ids with numerical perfix
-
-        # create persons
-        q_arr = ['with {n_attr_set__name} as n_attr_set',  # TODO clean: foreach triggers SyntaxException: otherwise
-                 'foreach (idx in range(0,%d)' % (lim_n - 1),
-                 '|',
-                 'create (n:%s' % ('Person'),
-                 '{id: \'test-id_\' + toString(%d + idx),' % (min_id),
-                  'name: n_attr_set[idx %% %d]}' % (len(n_attr_set__name)),
-                 '))',
-                ]
-        q_param = {'n_attr_set__name': n_attr_set__name}
-        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(n_attr_set__skill) - 1),
-                 '|',
-                 'create (n:%s' % ('Skill'),
-                 '{id: \'test-id_\' + toString(idx + %d),' % (min_id),
-                  'name: skill_set[idx]}',
-                 '))',
-                ]
-        q_param = {'skill_set': n_attr_set__skill}
-        self.add_statement(q_arr, q_param)
-        min_id *= 2
-
-        # create links
-        for skill_level in l_attr_set__level:
-            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)