### Flask Application Setup

Source: https://github.com/misp/pytaxonomies/blob/main/website/REQUIREMENTS.txt

Basic setup for a Flask application, demonstrating the integration of Flask-Bootstrap for UI enhancements.

```python
from flask import Flask
from flask_bootstrap import Bootstrap

app = Flask(__name__)
Bootstrap(app)

@app.route('/')
def index():
    return '<h1>Hello, PyTaxonomies!</h1>'

if __name__ == '__main__':
    app.run(debug=True)
```

--------------------------------

### Install PyTaxonomies

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Installs the PyTaxonomies library using pip. This is the primary method for adding the library to your Python environment.

```bash
pip install pytaxonomies
```

--------------------------------

### Initialize and Get Taxonomies Version

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Demonstrates how to initialize the Taxonomies object and access its version, license, and description attributes. This is a fundamental step for using the library.

```python
from pytaxonomies import Taxonomies

taxonomies = Taxonomies()

print(taxonomies.version)
print(taxonomies.license)
print(taxonomies.description)
```

--------------------------------

### Navigation Bar with Flask-Nav

Source: https://github.com/misp/pytaxonomies/blob/main/website/REQUIREMENTS.txt

Example of creating a navigation bar using Flask-Nav, allowing for easy management of site navigation elements.

```python
from flask import Flask
from flask_nav import Nav
from flask_nav.elements import Navbar, View

app = Flask(__name__)
nav = Nav()
nnav = Navbar('My Navbar', 
    View('Home', 'index'),
    View('About', 'about'))
nav.register_element(nnav)
nnav.init_app(app)

@app.route('/')
def index():
    return '<h1>Home Page</h1>'

@app.route('/about')
def about():
    return '<h1>About Page</h1>'

if __name__ == '__main__':
    app.run(debug=True)
```

--------------------------------

### Get All Machine Tags

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Retrieves and displays all machine tags for all imported taxonomies. This provides a comprehensive overview of the structured data available.

```python
taxonomies = Taxonomies()

print(taxonomies.all_machinetags())
```

--------------------------------

### Get Machine Tags for a Specific Taxonomy

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Fetches and displays the machine tags associated with a particular taxonomy, using 'circl' as an example. This helps in understanding the specific tags relevant to that category.

```python
taxonomies = Taxonomies()

print(taxonomies.get('circl').machinetags())
```

--------------------------------

### Access Nested Taxonomy Predicates

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Demonstrates how to access nested predicates within a taxonomy, using 'enisa' and 'physical-attack' as an example. It also shows how to get the raw value, expanded name, and description of a specific predicate.

```python
taxonomies = Taxonomies()

physical_attacks = taxonomies.get('enisa').get('physical-attack')
print(list(physical_attacks))

vandalism_predicate = physical_attacks.get('vandalism')
print(vandalism_predicate.value)
print(vandalism_predicate.expanded)
print(vandalism_predicate.description)
```

--------------------------------

### Edit Existing Taxonomy

Source: https://github.com/misp/pytaxonomies/blob/main/notebooks/create_n_edit.ipynb

Illustrates how to load an existing taxonomy and modify its properties. This example shows how to access a specific taxonomy by name and update one of its numerical values.

```python
from pytaxonomies import Taxonomies

from pytaxonomies import Taxonomy, Predicate, Entry

taxonomies = Taxonomies()

edited_taxonomy = taxonomies["false-positive"]

edited_taxonomy.predicates['risk'].entries['low'].numerical_value = 20
```

--------------------------------

### Get Expanded Machine Tags for a Specific Taxonomy

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Retrieves and displays the expanded machine tags for a specific taxonomy, 'circl' in this case. Expanded tags provide more human-readable versions of the machine tags.

```python
taxonomies = Taxonomies()

print(taxonomies.get('circl').machinetags_expanded())
```

--------------------------------

### Create New Taxonomy

Source: https://github.com/misp/pytaxonomies/blob/main/notebooks/create_n_edit.ipynb

Demonstrates how to create a new taxonomy object, define its properties, and add predicates with entries. This involves initializing Taxonomy, Predicate, and Entry objects and assigning values to their attributes.

```python
from pytaxonomies import Taxonomy, Predicate, Entry

new_taxonomy = Taxonomy()

new_taxonomy.name = "false-positive"
new_taxonomy.description = "This taxonomy aims to ballpark the expected amount of false positives."
new_taxonomy.version = 1
new_taxonomy.expanded = "False positive"

risk_predicate = Predicate()

risk_predicate.predicate = 'risk'
risk_predicate.expanded = 'Risk'
risk_predicate.description = 'Risk of having false positives in the tagged value.'

low = Entry()
low.value = 'low'
low.expanded = 'Low'
low.description = 'The risk of having false positives in the tagged value is low.'
low.numerical_value = 25


medium = Entry()
medium.value = 'medium'
medium.expanded = 'Medium'
medium.description = 'The risk of having false positives in the tagged value is medium.'
medium.numerical_value = 50

high = Entry()
high.value = 'high'
high.expanded = 'High'
high.description = 'The risk of having false positives in the tagged value is high.'
high.numerical_value = 75

risk_predicate.entries = {}
risk_predicate.entries['low'] = low
risk_predicate.entries['medium'] = medium
risk_predicate.entries['high'] = high

new_taxonomy.predicates = {}
new_taxonomy.predicates['risk'] = risk_predicate
```

--------------------------------

### Form Handling with Flask-WTF

Source: https://github.com/misp/pytaxonomies/blob/main/website/REQUIREMENTS.txt

Demonstrates how to create and handle forms using Flask-WTF, including CSRF protection and form validation.

```python
from flask import Flask, render_template, request
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired

app = Flask(__name__)
app.config['SECRET_KEY'] = 'your_secret_key'

class TaxonomyForm(FlaskForm):
    name = StringField('Taxonomy Name', validators=[DataRequired()])
    submit = SubmitField('Add Taxonomy')

@app.route('/add_taxonomy', methods=['GET', 'POST'])
def add_taxonomy():
    form = TaxonomyForm()
    if form.validate_on_submit():
        taxonomy_name = form.name.data
        # Process the taxonomy name (e.g., save to database)
        return f'<h1>Taxonomy \'{taxonomy_name}\' added!</h1>'
    return render_template('add_taxonomy.html', form=form)

if __name__ == '__main__':
    app.run(debug=True)
```

```html
<!doctype html>
<html>
<head>
    <title>Add Taxonomy</title>
</head>
<body>
    <h1>Add New Taxonomy</h1>
    <form method="POST">
        {{ form.csrf_token }}
        <div>
            {{ form.name.label }} {{ form.name() }}
        </div>
        <div>
            {{ form.submit() }}
        </div>
    </form>
</body>
</html>
```

--------------------------------

### Add Taxonomy to Repository

Source: https://github.com/misp/pytaxonomies/blob/main/notebooks/create_n_edit.ipynb

Shows how to add a newly created taxonomy to the project's repository. This involves updating a MANIFEST.json file and creating a new directory for the taxonomy's data.

```python
from pathlib import Path
import json

root_json = Path('..', 'pytaxonomies', 'data', 'misp-taxonomies')

with open(root_json / 'MANIFEST.json', encoding='utf8') as m:
    manifest = json.load(m)

# Just a failsafe in case the new taxonomy needs to be modified
is_update = False
for t in manifest['taxonomies']:
    if t['name'] == new_taxonomy.name:
        is_update = True
        t['version'] = new_taxonomy.version
        t['description'] = new_taxonomy.description 

if not is_update:
    manifest['taxonomies'].append({'version': new_taxonomy.version, 'name': new_taxonomy.name, 'description': new_taxonomy.description})

with open(root_json / 'MANIFEST.json', 'w', encoding='utf8') as m:
    json.dump(manifest, m, indent=2, ensure_ascii=False)
    

if not (root_json / new_taxonomy.name).exists():
    (root_json / new_taxonomy.name).mkdir()

with open(root_json / new_taxonomy.name / 'machinetag.json', 'w', encoding='utf8') as m:
    json.dump(new_taxonomy.to_dict(), m, indent=2, ensure_ascii=False)
```

--------------------------------

### Initialize DataTables for PyTaxonomies Table

Source: https://github.com/misp/pytaxonomies/blob/main/website/templates/main.html

This snippet initializes the DataTables jQuery plugin for the HTML table with the ID 'pytaxonomies_table'. It configures the table to display 25 items per page by default and provides options for users to select the number of items displayed.

```javascript
$(document).ready(function() {
  var table = $('#pytaxonomies_table').DataTable({
    "pageLength": 25,
    "lengthMenu": [ [25, 25, 100, -1], [25, 50, 100, "All"] ]
  });
});
```

--------------------------------

### Taxonomy Listing and Details

Source: https://github.com/misp/pytaxonomies/blob/main/website/templates/taxonomies.html

This Jinja2 template iterates through a collection of taxonomies, displaying their version, name, entry count, and description. It includes conditional rendering for expanded details and links to individual taxonomy pages.

```html
{% extends "main.html" %} {% block title %}Taxonomies{% endblock %} {% block content %}

Taxonomies - version {{ all_taxonomies.version }}
==================================================

{% for a, t in all_taxonomies.items() %} {% endfor %}

Short name

Long name

Version

Entries

Description

Short name

Long name

Version

Entries

Description

[{{ t.name }}]({{ url_for('taxonomies', name=t.name) }})

{% if t.expanded %} {{ t.expanded }} {%endif%}

{{ t.version }}

{{ t.amount_entries() }}

{{ t.description }}

{% endblock %}
```

--------------------------------

### Access Specific Taxonomy Details

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Illustrates how to retrieve detailed information about a specific taxonomy, such as 'enisa', including its description, version, name, and its own set of predicates.

```python
taxonomies = Taxonomies()

enisa_taxonomy = taxonomies.get('enisa')

print(enisa_taxonomy.description)
print(enisa_taxonomy.version)
print(enisa_taxonomy.name)
print(list(enisa_taxonomy.keys()))
```

--------------------------------

### Search Form and Results Display (HTML)

Source: https://github.com/misp/pytaxonomies/blob/main/website/templates/search.html

This snippet renders a search form with a CSRF token, a text input for the query, and a submit button. It then displays search results, iterating through entries and showing details like name, description, and machinetag. If no entries are found for a query, it displays 'Nothing found'.

```html
{% extends "main.html" %} {% block title %}Search{% endblock %} {% block content %}

Search {% if query %} - {{query}} {%endif%}
===========================================

{{ form.csrf_token }} {{ form.query(size=20) }} {{ form.submit }}

  

{% if query and not entries %} Nothing found {%endif%} {% if entries %} {% for mt, val in entries.items() %} {% endfor %}

Name

Description

Machinetag

Name

Description

Machinetag

[{{ val[0].name }}]({{ url_for('taxonomies', name=val[0].name) }})

{% if val|length == 3 %} {% if val[2].description %} {{ val[2].description }} {% elif val[2].expanded %} {{ val[2].expanded }} {%endif%} {% elif val[1].description %} {{ val[1].description }} {% else %} {{ val[1].predicate }} {%endif%}

{{ mt }}

{%endif%}

{% endblock %}
```

--------------------------------

### Jinja2 Template for Taxonomy Rendering

Source: https://github.com/misp/pytaxonomies/blob/main/website/templates/taxonomy.html

This Jinja2 template defines the structure for rendering taxonomy information. It dynamically displays taxonomy details, references, predicates, and their associated entries based on the provided data. It handles conditional rendering for descriptions, expanded values, and machine tags.

```jinja2
{% extends "main.html" %} {% block title %}Taxonomy - {{ taxonomy.name }} {% endblock %} {% block content %} {% if taxonomy.expanded %}{{ taxonomy.expanded }} {%else%} {{taxonomy.name}} {%endif%} (Version {{ taxonomy.version }}) ======================================================================================================================= ### {{ taxonomy.description }} {% if taxonomy.refs %} References: {% for r in taxonomy.refs %}*   [{{r}}]({{r}}) {%endfor%} {% endif %} {% if taxonomy.has_entries() %} {% else %} {% endif %} {% if taxonomy.has_entries() %} {% else %} {% endif %} {% for p in taxonomy.predicates.values() %} {% if p.entries %} {% else %} {% endif %} {% endfor %} Description Expanded Predicate Values Colour Machinetag Description Expanded Predicate Values Colour Machinetag {% if p.description %}{{ p.description }}{% endif %} {% if p.expanded %}{{ p.expanded }}{% endif %} {{ p.predicate }} {% for e in p.entries.values() %} {% endfor %} Value Numerical Value Expanded Description Colour Machinetag {{ e.value }} {% if e.numerical_value %}{{ e.numerical_value }}{% endif %} {% if e.expanded %}{{ e.expanded }}{% endif %} {% if e.description %}{{ e.description }}{% endif %} {% if p.colour %} {% endif %} {{ taxonomy.make_machinetag(p, e) }} {% if p.colour %} {% endif %} {{ taxonomy.make_machinetag(p) }} {% endblock %}
```

--------------------------------

### Count and List Taxonomies

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Shows how to determine the total number of imported taxonomies and retrieve a list of their names. This helps in understanding the scope of available data.

```python
taxonomies = Taxonomies()

# How many taxonomies have been imported
print(len(taxonomies))

# Names of the taxonomies
print(list(taxonomies.keys()))
```

--------------------------------

### Count Entries and Predicates in a Taxonomy

Source: https://github.com/misp/pytaxonomies/blob/main/README.md

Shows how to count the total number of entries within a specific taxonomy and the number of predicates it contains. This is useful for analyzing the complexity of a taxonomy.

```python
taxonomies = Taxonomies()

# Amount of entries in the 'circl' taxonomy
print(taxonomies.get('circl').amount_entries())

# Amount of predicates in the 'circl' taxonomy
print(len(taxonomies.get('circl')))
```

--------------------------------

### Save Edited Taxonomy

Source: https://github.com/misp/pytaxonomies/blob/main/notebooks/create_n_edit.ipynb

Details the process of saving changes made to an existing taxonomy. This involves updating the MANIFEST.json file with the new version and description, and then saving the modified taxonomy data.

```python
from pathlib import Path
import json

root_json = Path('..', 'pytaxonomies', 'data', 'misp-taxonomies')

with open(root_json / 'MANIFEST.json', encoding='utf8') as m:
    manifest = json.load(m)
    
# Just a failsafe in case the new taxonomy needs to be modified
is_update = False
for t in manifest['taxonomies']:
    if t['name'] == edited_taxonomy.name:
        is_update = True
        t['version'] += 1
        edited_taxonomy.version = t['version']
        t['description'] = edited_taxonomy.description

if not is_update:
    raise Exception(f'Taxonomy {edited_taxonomy.name} does not exists in the manifest.')

with open(root_json / 'MANIFEST.json', 'w', encoding='utf8') as m:
    json.dump(manifest, m, indent=2, ensure_ascii=False)

with open(root_json / edited_taxonomy.name / 'machinetag.json', 'w', encoding='utf8') as m:
    json.dump(edited_taxonomy.to_dict(), m, indent=2, ensure_ascii=False)
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.