graph.oval_graph.OvalNode.createNodesInRows() - Code Metrics - Inspection of "revork center_graph" - OpenSCAP/oval-graph - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Branch — graph-look (6770c2)

by Jan

created 2019-08-04 15:38 UTC

graph.oval_graph.OvalNode.createNodesInRows() A

↳ Parent: graph.oval_graph

Complexity

Conditions

Size

Total Lines	6
Code Lines	5

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	5
CRAP Score	2

Importance

Changes

Metric	Value
eloc	5
dl	0
loc	6
ccs	5
cts	5
cp	1
rs	10
c	0
b	0
f	0
cc	2
nop	2
crap	2

'''
    Module for create ID
'''
import graph.xml_parser
import graph.evaluate
import uuid
import collections

'''
    Modules form my lib
'''

'''
    This module contains methods and classes for
    constructing and controlling an oval tree.
'''


class OvalNode(object):
    '''
    The OvalNode object is one node of oval graph.

    Args:
        node_id (str|int): identifies node
        input_node_type (str): type of node (value or operator)
        input_value (str): value of node
        children ([OvalNode]): array of children of node

    Attributes:
        node_id (str): id of node
        node_type (str): type node
        value (str): value of node for operator and,
        or, one etc... and for value true, false, error etc...
        children ([OvalNode]): children of node
    '''

    def __init__(self, node_id, input_node_type, input_value, children=None):
        self.node_id = node_id
        value = input_value.lower()
        node_type = input_node_type.lower()
        if node_type == "value" or node_type == "operator":
            self.node_type = node_type
        else:
            raise ValueError("err- unknown type")
        allowed_operators = [
            "or",
            "and",
            "one",
            "xor"]
        allowed_values = [
            "true",
            "false",
            "error",
            "unknown",
            "noteval",
            "notappl"]
        if self.node_type == "value":
            if value in allowed_values:
                self.value = value
            else:
                raise ValueError("err- unknown value")
        if self.node_type == "operator":
            if value in allowed_operators:
                self.value = value
            else:
                raise ValueError("err- unknown operator")
        self.children = []
        if children is not None:
            for child in children:
                self.add_child(child)
        else:
            if self.node_type == "operator":
                raise ValueError('err- OR, XOR, ONE, AND have child!')

    def __repr__(self):
        return self.value

    def add_child(self, node):
        if self.node_type == "operator":
            assert isinstance(node, OvalNode)
            self.children.append(node)
        else:
            self.children = None
            raise ValueError(
                "err- true, false, error, unknown. noteval, notappl have not child!")

    def evaluate_tree(self):
        result = {
            'true_cnt': 0,
            'false_cnt': 0,
            'error_cnt': 0,
            'unknown_cnt': 0,
            'noteval_cnt': 0,
            'notappl_cnt': 0
        }

        for child in self.children:
            if child.value == 'true':
                result['true_cnt'] += 1
            elif child.value == 'false':
                result['false_cnt'] += 1
            elif child.value == 'error':
                result['error_cnt'] += 1
            elif child.value == 'unknown':
                result['unknown_cnt'] += 1
            elif child.value == 'noteval':
                result['noteval_cnt'] += 1
            elif child.value == 'notappl':
                result['notappl_cnt'] += 1
            else:
                if self.node_type == "operator":
                    result[child.evaluate_tree() + "_cnt"] += 1

        if result['notappl_cnt'] > 0\
                and graph.evaluate.eq_zero(result, 'false_cnt')\
                and graph.evaluate.error_unknown_noteval_eq_zero(result)\
                and graph.evaluate.eq_zero(result, 'true_cnt'):
            return "notappl"
        else:
            if self.value == "or":
                return graph.evaluate.oval_operator_or(result)
            elif self.value == "and":
                return graph.evaluate.oval_operator_and(result)
            elif self.value == "one":
                return graph.evaluate.oval_operator_one(result)
            elif self.value == "xor":
                return graph.evaluate.oval_operator_xor(result)

    def save_tree_to_dict(self):
        if not self.children:
            return {
                'node_id': self.node_id,
                'type': self.node_type,
                'value': self.value,
                'child': None
            }
        return {
            'node_id': self.node_id,
            'type': self.node_type,
            'value': self.value,
            'child': [child.save_tree_to_dict() for child in self.children]
        }

    def find_node_with_ID(self, node_id):
        if self.node_id == node_id:
            return self
        else:
            for child in self.children:
                if child.node_id == node_id:
                    return child
            for child in self.children:
                if child.children != []:
                    return child.find_node_with_ID(node_id)

    def add_to_tree(self, node_id, newNode):
        self.find_node_with_ID(node_id).add_child(newNode)

    def change_tree_value(self, node_id, value):
        self.find_node_with_ID(node_id).value = value

    # Methods for interpreting oval tree with SigmaJS

    def _create_node(self, x, y):
        # print(self.evaluate_tree(),self.value)
        if self.value == 'true':
            return {
                'id': self.node_id,
                'label': self.value,
                'label': str(self.node_id).replace(
                    'xccdf_org.ssgproject.content_rule_',
                    '').replace(
                    'oval:ssg-',
                    '').replace(
                    ':def:1',
                    '').replace(
                    ':tst:1',
                    '').replace('test_', ''),
                'url': 'null',
                'text': 'null',
                'title': self.node_id,
                "x": x,
                "y": y,
                "size": 3,
                "color": '#00ff00'}
        elif self.value == 'false':
            return {
                'id': self.node_id,
                'label': self.value,
                'label': str(self.node_id).replace(
                    'xccdf_org.ssgproject.content_rule_',
                    '').replace(
                    'oval:ssg-',
                    '').replace(
                    ':def:1',
                    '').replace(
                    ':tst:1',
                    '').replace('test_', ''),
                'url': 'null',
                'text': 'null',
                'title': self.node_id,
                "x": x,
                "y": y,
                "size": 3,
                "color": '#ff0000'}
        else:
            if self.evaluate_tree() == 'true':
                return {
                    'id': self.node_id,
                    'label': self.value,
                    'url': 'null',
                    'text': 'null',
                    'title': self.node_id,
                    "x": x,
                    "y": y,
                    "size": 3,
                    "color": '#00ff00'
                }
            elif self.evaluate_tree() == 'false':
                return {
                    'id': self.node_id,
                    'label': self.value,
                    'url': 'null',
                    'text': 'null',
                    'title': self.node_id,
                    "x": x,
                    "y": y,
                    "size": 3,
                    "color": '#ff0000'
                }
            else:
                return {
                    'id': self.node_id,
                    'label': self.value,
                    'url': 'null',
                    'text': 'null',
                    'title': str(self.node_id) + ' ' + self.value,
                    "x": x,
                    "y": y,
                    "size": 3,
                    "color": '#000000'
                }

    def _create_edge(self, id_source, id_target):
        return {
            "id": str(uuid.uuid4()),
            "source": id_source,
            "target": id_target
        }

    def create_list_of_id(self, array_of_ids=None):
        if array_of_ids is None:
            array_of_ids = []
            array_of_ids.append(self.node_id)
        for child in self.children:
            if child.node_type != "operator":
                array_of_ids.append(child.node_id)
            else:
                array_of_ids.append(child.node_id)
                child.create_list_of_id(array_of_ids)
        return array_of_ids

    def _remove_Duplication(self, graph_data):
        array_of_ids = self.create_list_of_id()
        out = dict(nodes=[], edges=graph_data['edges'])
        duplicate_ids = [item for item, count in collections.Counter(
            array_of_ids).items() if count > 1]

        for node in graph_data['nodes']:
            if node['id'] not in duplicate_ids:
                out['nodes'].append(node)

        for id in duplicate_ids:
            for node in graph_data['nodes']:
                if node['id'] == id:
                    out['nodes'].append(node)
                    break
        return out

    def _fix_graph(self, preprocessed_graph_data):
        for node in preprocessed_graph_data['nodes']:
            for node1 in preprocessed_graph_data['nodes']:
                if node['x'] == node1['x'] and node['y'] == node1['y']:
                    node['x'] = node['x'] - 1
        return preprocessed_graph_data

    def _help_to_sigma_dict(self, x, y, preprocessed_graph_data=None):
        if preprocessed_graph_data is None:
            preprocessed_graph_data = dict(nodes=[], edges=[])
            preprocessed_graph_data['nodes'].append(self._create_node(x, y))
        y_row = y + 1
        x_row = x
        for node in self.children:
            preprocessed_graph_data['nodes'].append(
                node._create_node(x_row, y_row))
            preprocessed_graph_data['edges'].append(
                node._create_edge(self.node_id, node.node_id))
            x_row = x_row + 1
            if node.children is not None:
                preprocessed_graph_data = node._help_to_sigma_dict(
                    x_row + 1, y_row + 1, preprocessed_graph_data)
        return self._fix_graph(preprocessed_graph_data)

    def countMaxY(self, out):
        maxY = 0

        for node in out['nodes']:
            if(maxY < node['y']):
                maxY = node['y']
        return maxY

    def createNodesInRows(self, rows):
        nodesInRows = dict()

        for i in range(rows + 1):
            nodesInRows[i] = []
        return nodesInRows

    def pushNodesToNodesInRow(self, out, nodesInRows):
        for node in out['nodes']:
            nodesInRows[node['y']].append(node)

    def removeEmptyRows(self, nodesInRows,maxY):
        for row in range(maxY + 1):
            if not nodesInRows[row]:
                del nodesInRows[row]

    def moveRows(self, nodesInRows):
        count = 0
        nodesInRows1 = dict()

        for row in nodesInRows:
            nodesInRows1[count] = nodesInRows[row]
            for node in nodesInRows1[count]:
                node['y'] = count
            count += 1
        return nodesInRows1

    def createPositions(self, nodesInRows):
        for row in nodesInRows:
            lenOfRow = len(nodesInRows[row])
            if lenOfRow > 1:
                if (lenOfRow % 2) == 1:
                    lenOfRow += 1
                positions = []

                for i in range((int(-(lenOfRow / 2))) * 2,
                               (int(+(lenOfRow / 2)) + 1) * 2, 2):
                    positions.append(i)

                if lenOfRow == 2:
                    positions.remove(0)
                
                if len(nodesInRows[row]) < len(positions):
                    positions.pop()
                    if len(nodesInRows[row]) < len(positions):
                        positions.pop(0)

                count1 = 0

                for pos in positions:
                    nodesInRows[row][count1]['x'] = pos
                    count1 += 1
            else:
                nodesInRows[row][0]['x'] = 0
        return positions

    def convertNodesInRowsToNodes(self, nodesInRows):
        nodes = []
        for row in nodesInRows:
            for node in nodesInRows[row]:
                nodes.append(node)
        return nodes

    def center_graph(self, out):
        maxY = self.countMaxY(out)
        nodesInRows = self.createNodesInRows(maxY)
        self.pushNodesToNodesInRow(out, nodesInRows)
        self.removeEmptyRows(nodesInRows, maxY)
        nodesInRows = self.moveRows(nodesInRows)

        positions=self.createPositions(nodesInRows)
        
        x = 0.6
        upAndDown = True
        down = False
        downRow = False
        saveX = 0

        for row in nodesInRows:
            for node in nodesInRows[row]:
                if len(node['label']) > 6 and len(node['label']) < 40:
                    if upAndDown:
                        node['y'] = node['y'] + (0.6 * x)
                        upAndDown = False
                    else:
                        upAndDown = True
                elif len(node['label']) > 30:
                    node['y'] = node['y'] + (0.6 * x)
                    x += 0.6
                    saveX = x
                    down = True
                else:
                    if down:
                        node['y'] = node['y'] + (0.6 * saveX)

                    if downRow:
                        node['y'] = node['y'] + (0.6 * saveX) - 0.7
            if down:
                down = False
                downRow = True
            x = 0.6
        
        out['nodes'] = self.convertNodesInRowsToNodes(nodesInRows)

        return out

    def to_sigma_dict(self, x, y):
        return self.center_graph(
            self._remove_Duplication(
                self._help_to_sigma_dict(
                    x, y)))


def build_nodes_form_xml(xml_src, rule_id):
    parser = graph.xml_parser.xml_parser(xml_src)
    return parser.get_oval_graph(rule_id)


def restore_dict_to_tree(dict_of_tree):
    if dict_of_tree["child"] is None:
        return OvalNode(
            dict_of_tree["node_id"],
            dict_of_tree["type"],
            dict_of_tree["value"])
    return OvalNode(
        dict_of_tree["node_id"],
        dict_of_tree["type"],
        dict_of_tree["value"],
        [restore_dict_to_tree(i) for i in dict_of_tree["child"]])


1		'''
2		Module for create ID
3		'''
4	1	import graph.xml_parser
5	1	import graph.evaluate
6	1	import uuid
7	1	import collections
8
9		'''
10		Modules form my lib
11		'''
12
13		'''
14		This module contains methods and classes for
15		constructing and controlling an oval tree.
16		'''
17
18
19	1	class OvalNode(object):
20		'''
21		The OvalNode object is one node of oval graph.
22
23		Args:
24		node_id (str\|int): identifies node
25		input_node_type (str): type of node (value or operator)
26		input_value (str): value of node
27		children ([OvalNode]): array of children of node
28
29		Attributes:
30		node_id (str): id of node
31		node_type (str): type node
32		value (str): value of node for operator and,
33		or, one etc... and for value true, false, error etc...
34		children ([OvalNode]): children of node
35		'''
36
37	1	def __init__(self, node_id, input_node_type, input_value, children=None):
38	1	self.node_id = node_id
39	1	value = input_value.lower()
40	1	node_type = input_node_type.lower()
41	1	if node_type == "value" or node_type == "operator":
42	1	self.node_type = node_type
43		else:
44	1	raise ValueError("err- unknown type")
45	1	allowed_operators = [
46		"or",
47		"and",
48		"one",
49		"xor"]
50	1	allowed_values = [
51		"true",
52		"false",
53		"error",
54		"unknown",
55		"noteval",
56		"notappl"]
57	1	if self.node_type == "value":
58	1	if value in allowed_values:
59	1	self.value = value
60		else:
61	1	raise ValueError("err- unknown value")
62	1	if self.node_type == "operator":
63	1	if value in allowed_operators:
64	1	self.value = value
65		else:
66	1	raise ValueError("err- unknown operator")
67	1	self.children = []
68	1	if children is not None:
69	1	for child in children:
70	1	self.add_child(child)
71		else:
72	1	if self.node_type == "operator":
73	1	raise ValueError('err- OR, XOR, ONE, AND have child!')
74
75	1	def __repr__(self):
76	1	return self.value
77
78	1	def add_child(self, node):
79	1	if self.node_type == "operator":
80	1	assert isinstance(node, OvalNode)
81	1	self.children.append(node)
82		else:
83	1	self.children = None
84	1	raise ValueError(
85		"err- true, false, error, unknown. noteval, notappl have not child!")
86
87	1	def evaluate_tree(self):
88	1	result = {
89		'true_cnt': 0,
90		'false_cnt': 0,
91		'error_cnt': 0,
92		'unknown_cnt': 0,
93		'noteval_cnt': 0,
94		'notappl_cnt': 0
95		}
96
97	1	for child in self.children:
98	1	if child.value == 'true':
99	1	result['true_cnt'] += 1
100	1	elif child.value == 'false':
101	1	result['false_cnt'] += 1
102	1	elif child.value == 'error':
103	1	result['error_cnt'] += 1
104	1	elif child.value == 'unknown':
105	1	result['unknown_cnt'] += 1
106	1	elif child.value == 'noteval':
107	1	result['noteval_cnt'] += 1
108	1	elif child.value == 'notappl':
109	1	result['notappl_cnt'] += 1
110		else:
111	1	if self.node_type == "operator":
112	1	result[child.evaluate_tree() + "_cnt"] += 1
113
114	1	if result['notappl_cnt'] > 0\
115		and graph.evaluate.eq_zero(result, 'false_cnt')\
116		and graph.evaluate.error_unknown_noteval_eq_zero(result)\
117		and graph.evaluate.eq_zero(result, 'true_cnt'):
118	1	return "notappl"
119		else:
120	1	if self.value == "or":
121	1	return graph.evaluate.oval_operator_or(result)
122	1	elif self.value == "and":
123	1	return graph.evaluate.oval_operator_and(result)
124	1	elif self.value == "one":
125	1	return graph.evaluate.oval_operator_one(result)
126	1	elif self.value == "xor":
127	1	return graph.evaluate.oval_operator_xor(result)
128
129	1	def save_tree_to_dict(self):
130	1	if not self.children:
131	1	return {
132		'node_id': self.node_id,
133		'type': self.node_type,
134		'value': self.value,
135		'child': None
136		}
137	1	return {
138		'node_id': self.node_id,
139		'type': self.node_type,
140		'value': self.value,
141		'child': [child.save_tree_to_dict() for child in self.children]
142		}
143
144	1	def find_node_with_ID(self, node_id):
145	1	if self.node_id == node_id:
146	1	return self
147		else:
148	1	for child in self.children:
149	1	if child.node_id == node_id:
150	1	return child
151	1	for child in self.children:
152	1	if child.children != []:
153	1	return child.find_node_with_ID(node_id)
154
155	1	def add_to_tree(self, node_id, newNode):
156	1	self.find_node_with_ID(node_id).add_child(newNode)
157
158	1	def change_tree_value(self, node_id, value):
159	1	self.find_node_with_ID(node_id).value = value
160
161		# Methods for interpreting oval tree with SigmaJS
162
163	1	def _create_node(self, x, y):
164		# print(self.evaluate_tree(),self.value)
165	1	if self.value == 'true':
166	1	return {
167		'id': self.node_id,
168		'label': self.value,
169		'label': str(self.node_id).replace(
170		'xccdf_org.ssgproject.content_rule_',
171		'').replace(
172		'oval:ssg-',
173		'').replace(
174		':def:1',
175		'').replace(
176		':tst:1',
177		'').replace('test_', ''),
178		'url': 'null',
179		'text': 'null',
180		'title': self.node_id,
181		"x": x,
182		"y": y,
183		"size": 3,
184		"color": '#00ff00'}
185	1	elif self.value == 'false':
186	1	return {
187		'id': self.node_id,
188		'label': self.value,
189		'label': str(self.node_id).replace(
190		'xccdf_org.ssgproject.content_rule_',
191		'').replace(
192		'oval:ssg-',
193		'').replace(
194		':def:1',
195		'').replace(
196		':tst:1',
197		'').replace('test_', ''),
198		'url': 'null',
199		'text': 'null',
200		'title': self.node_id,
201		"x": x,
202		"y": y,
203		"size": 3,
204		"color": '#ff0000'}
205		else:
206	1	if self.evaluate_tree() == 'true':
207	1	return {
208		'id': self.node_id,
209		'label': self.value,
210		'url': 'null',
211		'text': 'null',
212		'title': self.node_id,
213		"x": x,
214		"y": y,
215		"size": 3,
216		"color": '#00ff00'
217		}
218	1	elif self.evaluate_tree() == 'false':
219	1	return {
220		'id': self.node_id,
221		'label': self.value,
222		'url': 'null',
223		'text': 'null',
224		'title': self.node_id,
225		"x": x,
226		"y": y,
227		"size": 3,
228		"color": '#ff0000'
229		}
230		else:
231	1	return {
232		'id': self.node_id,
233		'label': self.value,
234		'url': 'null',
235		'text': 'null',
236		'title': str(self.node_id) + ' ' + self.value,
237		"x": x,
238		"y": y,
239		"size": 3,
240		"color": '#000000'
241		}
242
243	1	def _create_edge(self, id_source, id_target):
244	1	return {
245		"id": str(uuid.uuid4()),
246		"source": id_source,
247		"target": id_target
248		}
249
250	1	def create_list_of_id(self, array_of_ids=None):
251	1	if array_of_ids is None:
252	1	array_of_ids = []
253	1	array_of_ids.append(self.node_id)
254	1	for child in self.children:
255	1	if child.node_type != "operator":
256	1	array_of_ids.append(child.node_id)
257		else:
258	1	array_of_ids.append(child.node_id)
259	1	child.create_list_of_id(array_of_ids)
260	1	return array_of_ids
261
262	1	def _remove_Duplication(self, graph_data):
263	1	array_of_ids = self.create_list_of_id()
264	1	out = dict(nodes=[], edges=graph_data['edges'])
265	1	duplicate_ids = [item for item, count in collections.Counter(
266		array_of_ids).items() if count > 1]
267
268	1	for node in graph_data['nodes']:
269	1	if node['id'] not in duplicate_ids:
270	1	out['nodes'].append(node)
271
272	1	for id in duplicate_ids:
273	1	for node in graph_data['nodes']:
274	1	if node['id'] == id:
275	1	out['nodes'].append(node)
276	1	break
277	1	return out
278
279	1	def _fix_graph(self, preprocessed_graph_data):
280	1	for node in preprocessed_graph_data['nodes']:
281	1	for node1 in preprocessed_graph_data['nodes']:
282	1	if node['x'] == node1['x'] and node['y'] == node1['y']:
283	1	node['x'] = node['x'] - 1
284	1	return preprocessed_graph_data
285
286	1	def _help_to_sigma_dict(self, x, y, preprocessed_graph_data=None):
287	1	if preprocessed_graph_data is None:
288	1	preprocessed_graph_data = dict(nodes=[], edges=[])
289	1	preprocessed_graph_data['nodes'].append(self._create_node(x, y))
290	1	y_row = y + 1
291	1	x_row = x
292	1	for node in self.children:
293	1	preprocessed_graph_data['nodes'].append(
294		node._create_node(x_row, y_row))
295	1	preprocessed_graph_data['edges'].append(
296		node._create_edge(self.node_id, node.node_id))
297	1	x_row = x_row + 1
298	1	if node.children is not None:
299	1	preprocessed_graph_data = node._help_to_sigma_dict(
300		x_row + 1, y_row + 1, preprocessed_graph_data)
301	1	return self._fix_graph(preprocessed_graph_data)
302
303	1	def countMaxY(self, out):
304	1	maxY = 0
305
306	1	for node in out['nodes']:
307	1	if(maxY < node['y']):
308	1	maxY = node['y']
309	1	return maxY
310
311	1	def createNodesInRows(self, rows):
312	1	nodesInRows = dict()
313
314	1	for i in range(rows + 1):
315	1	nodesInRows[i] = []
316	1	return nodesInRows
317
318	1	def pushNodesToNodesInRow(self, out, nodesInRows):
319	1	for node in out['nodes']:
320	1	nodesInRows[node['y']].append(node)
321
322	1	def removeEmptyRows(self, nodesInRows,maxY):
323	1	for row in range(maxY + 1):
324	1	if not nodesInRows[row]:
325	1	del nodesInRows[row]
326
327	1	def moveRows(self, nodesInRows):
328	1	count = 0
329	1	nodesInRows1 = dict()
330
331	1	for row in nodesInRows:
332	1	nodesInRows1[count] = nodesInRows[row]
333	1	for node in nodesInRows1[count]:
334	1	node['y'] = count
335	1	count += 1
336	1	return nodesInRows1
337
338	1	def createPositions(self, nodesInRows):
339	1	for row in nodesInRows:
340	1	lenOfRow = len(nodesInRows[row])
341	1	if lenOfRow > 1:
342	1	if (lenOfRow % 2) == 1:
343	1	lenOfRow += 1
344	1	positions = []
345
346	1	for i in range((int(-(lenOfRow / 2))) * 2,
347		(int(+(lenOfRow / 2)) + 1) * 2, 2):
348	1	positions.append(i)
349
350	1	if lenOfRow == 2:
351	1	positions.remove(0)
352
353	1	if len(nodesInRows[row]) < len(positions):
354	1	positions.pop()
355	1	if len(nodesInRows[row]) < len(positions):
356	1	positions.pop(0)
357
358	1	count1 = 0
359
360	1	for pos in positions:
361	1	nodesInRows[row][count1]['x'] = pos
362	1	count1 += 1
363		else:
364	1	nodesInRows[row][0]['x'] = 0
365	1	return positions
		0 ignored issues – show introduced 2019-08-04 15:39 UTC by Report Bug Copy Issue Report The variable `positions` does not seem to be defined in case the `for` loop on line `339` is not entered. Are you sure this can never be the case? Loading history...
366	1	def convertNodesInRowsToNodes(self, nodesInRows):
367	1	nodes = []
368	1	for row in nodesInRows:
369	1	for node in nodesInRows[row]:
370	1	nodes.append(node)
371	1	return nodes
372
373	1	def center_graph(self, out):
374	1	maxY = self.countMaxY(out)
375	1	nodesInRows = self.createNodesInRows(maxY)
376	1	self.pushNodesToNodesInRow(out, nodesInRows)
377	1	self.removeEmptyRows(nodesInRows, maxY)
378	1	nodesInRows = self.moveRows(nodesInRows)
379
380	1	positions=self.createPositions(nodesInRows)
381
382	1	x = 0.6
383	1	upAndDown = True
384	1	down = False
385	1	downRow = False
386	1	saveX = 0
387
388	1	for row in nodesInRows:
389	1	for node in nodesInRows[row]:
390	1	if len(node['label']) > 6 and len(node['label']) < 40:
391	1	if upAndDown:
392	1	node['y'] = node['y'] + (0.6 * x)
393	1	upAndDown = False
394		else:
395	1	upAndDown = True
396	1	elif len(node['label']) > 30:
397	1	node['y'] = node['y'] + (0.6 * x)
398	1	x += 0.6
399	1	saveX = x
400	1	down = True
401		else:
402	1	if down:
403	1	node['y'] = node['y'] + (0.6 * saveX)
404
405	1	if downRow:
406	1	node['y'] = node['y'] + (0.6 * saveX) - 0.7
407	1	if down:
408	1	down = False
409	1	downRow = True
410	1	x = 0.6
411
412	1	out['nodes'] = self.convertNodesInRowsToNodes(nodesInRows)
413
414	1	return out
415
416	1	def to_sigma_dict(self, x, y):
417	1	return self.center_graph(
418		self._remove_Duplication(
419		self._help_to_sigma_dict(
420		x, y)))
421
422
423	1	def build_nodes_form_xml(xml_src, rule_id):
424	1	parser = graph.xml_parser.xml_parser(xml_src)
425	1	return parser.get_oval_graph(rule_id)
426
427
428	1	def restore_dict_to_tree(dict_of_tree):
429	1	if dict_of_tree["child"] is None:
430	1	return OvalNode(
431		dict_of_tree["node_id"],
432		dict_of_tree["type"],
433		dict_of_tree["value"])
434	1	return OvalNode(
435		dict_of_tree["node_id"],
436		dict_of_tree["type"],
437		dict_of_tree["value"],
438		[restore_dict_to_tree(i) for i in dict_of_tree["child"]])
439

OpenSCAP / oval-graph

Branch — graph-look (6770c2)

graph.oval_graph.OvalNode.createNodesInRows() A

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Duplication

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