processes.processes_graph_model() - Code Metrics - erivlis/graphinate - Measure and Improve Code Quality continuously with Scrutinizer

processes.processes_graph_model() B
last analyzed 2025-11-29 23:13 UTC

↳ Parent: processes

Complexity

Conditions

Size

Total Lines	36
Code Lines	21

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	6
eloc	21
nop	0
dl	0
loc	36
rs	8.4426
c	0
b	0
f	0

"""
Example: Processes Graph
This example demonstrates how to create a graph model representing
processes and their parent-child relationships using the `psutil` library.
"""

import operator
from collections.abc import Iterable

import networkx as nx
import psutil

import graphinate


def processes_graph_model():
    """
    Create a graph model representing processes and their parent-child relationships.

    Returns:
        GraphModel: A graph model representing processes and their parent-child relationships.
    """

    graph_model = graphinate.model("Processes Graph")

    def processes() -> Iterable[psutil.Process]:
        for pid in psutil.pids():
            if psutil.pid_exists(pid):
                yield psutil.Process(pid)

    processes_list = [
        {
            'pid': p.pid,
            'name': p.name(),
            'parent_pid': p.parent().pid if p.parent() else None
        }
        for p in processes()
    ]

    @graph_model.node(key=operator.itemgetter('pid'), label=operator.itemgetter('name'))
    def process():
        yield from processes_list

    @graph_model.edge()
    def edge():
        for p in processes_list:
            parent_pid = p.get('parent_pid')
            if parent_pid:
                yield {'source': p.get('pid'), 'target': parent_pid}

    return graph_model


model = processes_graph_model()

if __name__ == '__main__':
    # 1. Define Graph Builder
    builder = graphinate.builders.NetworkxBuilder(model=model)

    # Then
    # 2. Build the Graph object
    graph: nx.Graph = builder.build()

    # Then
    # 3. Option A - Output to console
    print(graph)

    # Or
    # 3. Option B - Output as a plot
    graphinate.renderers.matplotlib.plot(graph)


1			"""
2			Example: Processes Graph
3			This example demonstrates how to create a graph model representing
4			processes and their parent-child relationships using the `psutil` library.
5			"""
6
7			import operator
8			from collections.abc import Iterable
9
10			import networkx as nx
11			import psutil
12
13			import graphinate
14
15
16			def processes_graph_model():
17			"""
18			Create a graph model representing processes and their parent-child relationships.
19
20			Returns:
21			GraphModel: A graph model representing processes and their parent-child relationships.
22			"""
23
24			graph_model = graphinate.model("Processes Graph")
25
26			def processes() -> Iterable[psutil.Process]:
27			for pid in psutil.pids():
28			if psutil.pid_exists(pid):
29			yield psutil.Process(pid)
30
31			processes_list = [
32			{
33			'pid': p.pid,
34			'name': p.name(),
35			'parent_pid': p.parent().pid if p.parent() else None
36			}
37			for p in processes()
38			]
39
40			@graph_model.node(key=operator.itemgetter('pid'), label=operator.itemgetter('name'))
41			def process():
42			yield from processes_list
43
44			@graph_model.edge()
45			def edge():
46			for p in processes_list:
47			parent_pid = p.get('parent_pid')
48			if parent_pid:
49			yield {'source': p.get('pid'), 'target': parent_pid}
50
51			return graph_model
52
53
54			model = processes_graph_model()
55
56			if __name__ == '__main__':
57			# 1. Define Graph Builder
58			builder = graphinate.builders.NetworkxBuilder(model=model)
59
60			# Then
61			# 2. Build the Graph object
62			graph: nx.Graph = builder.build()
63
64			# Then
65			# 3. Option A - Output to console
66			print(graph)
67
68			# Or
69			# 3. Option B - Output as a plot
70			graphinate.renderers.matplotlib.plot(graph)
71

erivlis / graphinate

processes.processes_graph_model() B last analyzed 2025-11-29 23:13 UTC

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processes.processes_graph_model() B
last analyzed 2025-11-29 23:13 UTC