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# Custom Fields
Each model in NetBox is represented in the database as a discrete table, and each attribute of a model exists as a column within its table. For example, sites are stored in the `dcim_site` table, which has columns named `name`, `facility`, `physical_address`, and so on. As new attributes are added to objects throughout the development of NetBox, tables are expanded to include new rows.
However, some users might want to store additional object attributes that are somewhat esoteric in nature, and that would not make sense to include in the core NetBox database schema. For instance, suppose your organization needs to associate each device with a ticket number correlating it with an internal support system record. This is certainly a legitimate use for NetBox, but it's not a common enough need to warrant including a field for _every_ NetBox installation. Instead, you can create a custom field to hold this data.
Within the database, custom fields are stored as JSON data directly alongside each object. This alleviates the need for complex queries when retrieving objects.
## Creating Custom Fields
Custom fields may be created by navigating to Customization > Custom Fields. NetBox supports six types of custom field:
* Text: Free-form text (up to 255 characters)
* Integer: A whole number (positive or negative)
* Boolean: True or false
* Date: A date in ISO 8601 format (YYYY-MM-DD)
* URL: This will be presented as a link in the web UI
* Selection: A selection of one of several pre-defined custom choices
* Multiple selection: A selection field which supports the assignment of multiple values
Each custom field must have a name; this should be a simple database-friendly string, e.g. `tps_report`. You may also assign a corresponding human-friendly label (e.g. "TPS report"); the label will be displayed on web forms. A weight is also required: Higher-weight fields will be ordered lower within a form. (The default weight is 100.) If a description is provided, it will appear beneath the field in a form.
Marking a field as required will force the user to provide a value for the field when creating a new object or when saving an existing object. A default value for the field may also be provided. Use "true" or "false" for boolean fields, or the exact value of a choice for selection fields.
The filter logic controls how values are matched when filtering objects by the custom field. Loose filtering (the default) matches on a partial value, whereas exact matching requires a complete match of the given string to a field's value. For example, exact filtering with the string "red" will only match the exact value "red", whereas loose filtering will match on the values "red", "red-orange", or "bored". Setting the filter logic to "disabled" disables filtering by the field entirely.
A custom field must be assigned to one or more object types, or models, in NetBox. Once created, custom fields will automatically appear as part of these models in the web UI and REST API. Note that not all models support custom fields.
### Custom Field Validation
NetBox supports limited custom validation for custom field values. Following are the types of validation enforced for each field type:
* Text: Regular expression (optional)
* Integer: Minimum and/or maximum value (optional)
* Selection: Must exactly match one of the prescribed choices
### Custom Selection Fields
Each custom selection field must have at least two choices. These are specified as a comma-separated list. Choices appear in forms in the order they are listed. Note that choice values are saved exactly as they appear, so it's best to avoid superfluous punctuation or symbols where possible.
If a default value is specified for a selection field, it must exactly match one of the provided choices. The value of a multiple selection field will always return a list, even if only one value is selected.
## Custom Fields in Templates
Several features within NetBox, such as export templates and webhooks, utilize Jinja2 templating. For convenience, objects which support custom field assignment expose custom field data through the `cf` property. This is a bit cleaner than accessing custom field data through the actual field (`custom_field_data`).
For example, a custom field named `foo123` on the Site model is accessible on an instance as `{{ site.cf.foo123 }}`.
## Custom Fields and the REST API
When retrieving an object via the REST API, all of its custom data will be included within the `custom_fields` attribute. For example, below is the partial output of a site with two custom fields defined:
```json
{
"id": 123,
"url": "http://localhost:8000/api/dcim/sites/123/",
"name": "Raleigh 42",
...
"custom_fields": {
"deployed": "2018-06-19",
"site_code": "US-NC-RAL42"
},
...
```
To set or change these values, simply include nested JSON data. For example:
```json
{
"name": "New Site",
"slug": "new-site",
"custom_fields": {
"deployed": "2019-03-24"
}
}
```

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# Custom Links
Custom links allow users to display arbitrary hyperlinks to external content within NetBox object views. These are helpful for cross-referencing related records in systems outside NetBox. For example, you might create a custom link on the device view which links to the current device in a network monitoring system.
Custom links are created by navigating to Customization > Custom Links. Each link is associated with a particular NetBox object type (site, device, prefix, etc.) and will be displayed on relevant views. Each link is assigned text and a URL, both of which support Jinja2 templating. The text and URL are rendered with the context variable `obj` representing the current object.
For example, you might define a link like this:
* Text: `View NMS`
* URL: `https://nms.example.com/nodes/?name={{ obj.name }}`
When viewing a device named Router4, this link would render as:
```no-highlight
<a href="https://nms.example.com/nodes/?name=Router4">View NMS</a>
```
Custom links appear as buttons in the top right corner of the page. Numeric weighting can be used to influence the ordering of links.
## Context Data
The following context data is available within the template when rendering a custom link's text or URL.
| Variable | Description |
|----------|-------------|
| `obj` | The NetBox object being displayed |
| `debug` | A boolean indicating whether debugging is enabled |
| `request` | The current WSGI request |
| `user` | The current user (if authenticated) |
| `perms` | The [permissions](https://docs.djangoproject.com/en/stable/topics/auth/default/#permissions) assigned to the user |
## Conditional Rendering
Only links which render with non-empty text are included on the page. You can employ conditional Jinja2 logic to control the conditions under which a link gets rendered.
For example, if you only want to display a link for active devices, you could set the link text to
```jinja2
{% if obj.status == 'active' %}View NMS{% endif %}
```
The link will not appear when viewing a device with any status other than "active."
As another example, if you wanted to show only devices belonging to a certain manufacturer, you could do something like this:
```jinja2
{% if obj.device_type.manufacturer.name == 'Cisco' %}View NMS{% endif %}
```
The link will only appear when viewing a device with a manufacturer name of "Cisco."
## Link Groups
Group names can be specified to organize links into groups. Links with the same group name will render as a dropdown menu beneath a single button bearing the name of the group.

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# Custom Scripts
Custom scripting was introduced to provide a way for users to execute custom logic from within the NetBox UI. Custom scripts enable the user to directly and conveniently manipulate NetBox data in a prescribed fashion. They can be used to accomplish myriad tasks, such as:
* Automatically populate new devices and cables in preparation for a new site deployment
* Create a range of new reserved prefixes or IP addresses
* Fetch data from an external source and import it to NetBox
Custom scripts are Python code and exist outside of the official NetBox code base, so they can be updated and changed without interfering with the core NetBox installation. And because they're completely custom, there is no inherent limitation on what a script can accomplish.
## Writing Custom Scripts
All custom scripts must inherit from the `extras.scripts.Script` base class. This class provides the functionality necessary to generate forms and log activity.
```python
from extras.scripts import Script
class MyScript(Script):
...
```
Scripts comprise two core components: a set of variables and a `run()` method. Variables allow your script to accept user input via the NetBox UI, but they are optional: If your script does not require any user input, there is no need to define any variables.
The `run()` method is where your script's execution logic lives. (Note that your script can have as many methods as needed: this is merely the point of invocation for NetBox.)
```python
class MyScript(Script):
var1 = StringVar(...)
var2 = IntegerVar(...)
var3 = ObjectVar(...)
def run(self, data, commit):
...
```
The `run()` method should accept two arguments:
* `data` - A dictionary containing all of the variable data passed via the web form.
* `commit` - A boolean indicating whether database changes will be committed.
!!! note
The `commit` argument was introduced in NetBox v2.7.8. Backward compatibility is maintained for scripts which accept only the `data` argument, however beginning with v2.10 NetBox will require the `run()` method of every script to accept both arguments. (Either argument may still be ignored within the method.)
Defining script variables is optional: You may create a script with only a `run()` method if no user input is needed.
Any output generated by the script during its execution will be displayed under the "output" tab in the UI.
## Module Attributes
### `name`
You can define `name` within a script module (the Python file which contains one or more scripts) to set the module name. If `name` is not defined, the module's file name will be used.
## Script Attributes
Script attributes are defined under a class named `Meta` within the script. These are optional, but encouraged.
### `name`
This is the human-friendly names of your script. If omitted, the class name will be used.
### `description`
A human-friendly description of what your script does.
### `commit_default`
The checkbox to commit database changes when executing a script is checked by default. Set `commit_default` to False under the script's Meta class to leave this option unchecked by default.
```python
commit_default = False
```
## Accessing Request Data
Details of the current HTTP request (the one being made to execute the script) are available as the instance attribute `self.request`. This can be used to infer, for example, the user executing the script and the client IP address:
```python
username = self.request.user.username
ip_address = self.request.META.get('HTTP_X_FORWARDED_FOR') or \
self.request.META.get('REMOTE_ADDR')
self.log_info(f"Running as user {username} (IP: {ip_address})...")
```
For a complete list of available request parameters, please see the [Django documentation](https://docs.djangoproject.com/en/stable/ref/request-response/).
## Reading Data from Files
The Script class provides two convenience methods for reading data from files:
* `load_yaml`
* `load_json`
These two methods will load data in YAML or JSON format, respectively, from files within the local path (i.e. `SCRIPTS_ROOT`).
## Logging
The Script object provides a set of convenient functions for recording messages at different severity levels:
* `log_debug`
* `log_success`
* `log_info`
* `log_warning`
* `log_failure`
Log messages are returned to the user upon execution of the script. Markdown rendering is supported for log messages.
## Variable Reference
### Default Options
All custom script variables support the following default options:
* `default` - The field's default value
* `description` - A brief user-friendly description of the field
* `label` - The field name to be displayed in the rendered form
* `required` - Indicates whether the field is mandatory (all fields are required by default)
* `widget` - The class of form widget to use (see the [Django documentation](https://docs.djangoproject.com/en/stable/ref/forms/widgets/))
### StringVar
Stores a string of characters (i.e. text). Options include:
* `min_length` - Minimum number of characters
* `max_length` - Maximum number of characters
* `regex` - A regular expression against which the provided value must match
Note that `min_length` and `max_length` can be set to the same number to effect a fixed-length field.
### TextVar
Arbitrary text of any length. Renders as a multi-line text input field.
### IntegerVar
Stores a numeric integer. Options include:
* `min_value` - Minimum value
* `max_value` - Maximum value
### BooleanVar
A true/false flag. This field has no options beyond the defaults listed above.
### ChoiceVar
A set of choices from which the user can select one.
* `choices` - A list of `(value, label)` tuples representing the available choices. For example:
```python
CHOICES = (
('n', 'North'),
('s', 'South'),
('e', 'East'),
('w', 'West')
)
direction = ChoiceVar(choices=CHOICES)
```
In the example above, selecting the choice labeled "North" will submit the value `n`.
### MultiChoiceVar
Similar to `ChoiceVar`, but allows for the selection of multiple choices.
### ObjectVar
A particular object within NetBox. Each ObjectVar must specify a particular model, and allows the user to select one of the available instances. ObjectVar accepts several arguments, listed below.
* `model` - The model class
* `query_params` - A dictionary of query parameters to use when retrieving available options (optional)
* `null_option` - A label representing a "null" or empty choice (optional)
To limit the selections available within the list, additional query parameters can be passed as the `query_params` dictionary. For example, to show only devices with an "active" status:
```python
device = ObjectVar(
model=Device,
query_params={
'status': 'active'
}
)
```
Multiple values can be specified by assigning a list to the dictionary key. It is also possible to reference the value of other fields in the form by prepending a dollar sign (`$`) to the variable's name.
```python
region = ObjectVar(
model=Region
)
site = ObjectVar(
model=Site,
query_params={
'region_id': '$region'
}
)
```
### MultiObjectVar
Similar to `ObjectVar`, but allows for the selection of multiple objects.
### FileVar
An uploaded file. Note that uploaded files are present in memory only for the duration of the script's execution: They will not be automatically saved for future use. The script is responsible for writing file contents to disk where necessary.
### IPAddressVar
An IPv4 or IPv6 address, without a mask. Returns a `netaddr.IPAddress` object.
### IPAddressWithMaskVar
An IPv4 or IPv6 address with a mask. Returns a `netaddr.IPNetwork` object which includes the mask.
### IPNetworkVar
An IPv4 or IPv6 network with a mask. Returns a `netaddr.IPNetwork` object. Two attributes are available to validate the provided mask:
* `min_prefix_length` - Minimum length of the mask
* `max_prefix_length` - Maximum length of the mask
## Running Custom Scripts
!!! note
To run a custom script, a user must be assigned the `extras.run_script` permission. This is achieved by assigning the user (or group) a permission on the Script object and specifying the `run` action in the admin UI as shown below.
![Adding the run action to a permission](../../media/admin_ui_run_permission.png)
### Via the Web UI
Custom scripts can be run via the web UI by navigating to the script, completing any required form data, and clicking the "run script" button.
### Via the API
To run a script via the REST API, issue a POST request to the script's endpoint specifying the form data and commitment. For example, to run a script named `example.MyReport`, we would make a request such as the following:
```no-highlight
curl -X POST \
-H "Authorization: Token $TOKEN" \
-H "Content-Type: application/json" \
-H "Accept: application/json; indent=4" \
http://netbox/api/extras/scripts/example.MyReport/ \
--data '{"data": {"foo": "somevalue", "bar": 123}, "commit": true}'
```
## Example
Below is an example script that creates new objects for a planned site. The user is prompted for three variables:
* The name of the new site
* The device model (a filtered list of defined device types)
* The number of access switches to create
These variables are presented as a web form to be completed by the user. Once submitted, the script's `run()` method is called to create the appropriate objects.
```python
from django.utils.text import slugify
from dcim.choices import DeviceStatusChoices, SiteStatusChoices
from dcim.models import Device, DeviceRole, DeviceType, Manufacturer, Site
from extras.scripts import *
class NewBranchScript(Script):
class Meta:
name = "New Branch"
description = "Provision a new branch site"
field_order = ['site_name', 'switch_count', 'switch_model']
site_name = StringVar(
description="Name of the new site"
)
switch_count = IntegerVar(
description="Number of access switches to create"
)
manufacturer = ObjectVar(
model=Manufacturer,
required=False
)
switch_model = ObjectVar(
description="Access switch model",
model=DeviceType,
query_params={
'manufacturer_id': '$manufacturer'
}
)
def run(self, data, commit):
# Create the new site
site = Site(
name=data['site_name'],
slug=slugify(data['site_name']),
status=SiteStatusChoices.STATUS_PLANNED
)
site.save()
self.log_success(f"Created new site: {site}")
# Create access switches
switch_role = DeviceRole.objects.get(name='Access Switch')
for i in range(1, data['switch_count'] + 1):
switch = Device(
device_type=data['switch_model'],
name=f'{site.slug}-switch{i}',
site=site,
status=DeviceStatusChoices.STATUS_PLANNED,
device_role=switch_role
)
switch.save()
self.log_success(f"Created new switch: {switch}")
# Generate a CSV table of new devices
output = [
'name,make,model'
]
for switch in Device.objects.filter(site=site):
attrs = [
switch.name,
switch.device_type.manufacturer.name,
switch.device_type.model
]
output.append(','.join(attrs))
return '\n'.join(output)
```

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# Custom Validation
NetBox validates every object prior to it being written to the database to ensure data integrity. This validation includes things like checking for proper formatting and that references to related objects are valid. However, you may wish to supplement this validation with some rules of your own. For example, perhaps you require that every site's name conforms to a specific pattern. This can be done using NetBox's `CustomValidator` class.
## CustomValidator
### Validation Rules
A custom validator can be instantiated by passing a mapping of attributes to a set of rules to which that attribute must conform. For example:
```python
from extras.validators import CustomValidator
CustomValidator({
'name': {
'min_length': 5,
'max_length': 30,
}
})
```
This defines a custom validator which checks that the length of the `name` attribute for an object is at least five characters long, and no longer than 30 characters. This validation is executed _after_ NetBox has performed its own internal validation.
The `CustomValidator` class supports several validation types:
* `min`: Minimum value
* `max`: Maximum value
* `min_length`: Minimum string length
* `max_length`: Maximum string length
* `regex`: Application of a [regular expression](https://en.wikipedia.org/wiki/Regular_expression)
* `required`: A value must be specified
* `prohibited`: A value must _not_ be specified
The `min` and `max` types should be defined for numeric values, whereas `min_length`, `max_length`, and `regex` are suitable for character strings (text values). The `required` and `prohibited` validators may be used for any field, and should be passed a value of `True`.
!!! warning
Bear in mind that these validators merely supplement NetBox's own validation: They will not override it. For example, if a certain model field is required by NetBox, setting a validator for it with `{'prohibited': True}` will not work.
### Custom Validation Logic
There may be instances where the provided validation types are insufficient. The `CustomValidator` class can be extended to enforce arbitrary validation logic by overriding its `validate()` method, and calling `fail()` when an unsatisfactory condition is detected.
```python
from extras.validators import CustomValidator
class MyValidator(CustomValidator):
def validate(self, instance):
if instance.status == 'active' and not instance.description:
self.fail("Active sites must have a description set!", field='status')
```
The `fail()` method may optionally specify a field with which to associate the supplied error message. If specified, the error message will appear to the user as associated with this field. If omitted, the error message will not be associated with any field.
## Assigning Custom Validators
Custom validators are associated with specific NetBox models under the [CUSTOM_VALIDATORS](../configuration/optional-settings.md#custom_validators) configuration parameter, as such:
```python
CUSTOM_VALIDATORS = {
'dcim.site': (
Validator1,
Validator2,
Validator3
)
}
```
!!! note
Even if defining only a single validator, it must be passed as an iterable.
When it is not necessary to define a custom `validate()` method, you may opt to pass a `CustomValidator` instance directly:
```python
from extras.validators import CustomValidator
CUSTOM_VALIDATORS = {
'dcim.site': (
CustomValidator({
'name': {
'min_length': 5,
'max_length': 30,
}
}),
)
}
```

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# Export Templates
NetBox allows users to define custom templates that can be used when exporting objects. To create an export template, navigate to Customization > Export Templates.
Each export template is associated with a certain type of object. For instance, if you create an export template for VLANs, your custom template will appear under the "Export" button on the VLANs list. Each export template must have a name, and may optionally designate a specific export [MIME type](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/MIME_types) and/or file extension.
!!! note
The name `table` is reserved for internal use.
Export templates must be written in [Jinja2](https://jinja.palletsprojects.com/).
The list of objects returned from the database when rendering an export template is stored in the `queryset` variable, which you'll typically want to iterate through using a `for` loop. Object properties can be access by name. For example:
```jinja2
{% for rack in queryset %}
Rack: {{ rack.name }}
Site: {{ rack.site.name }}
Height: {{ rack.u_height }}U
{% endfor %}
```
To access custom fields of an object within a template, use the `cf` attribute. For example, `{{ obj.cf.color }}` will return the value (if any) for a custom field named `color` on `obj`.
If you need to use the config context data in an export template, you'll should use the function `get_config_context` to get all the config context data. For example:
```
{% for server in queryset %}
{% set data = server.get_config_context() %}
{{ data.syslog }}
{% endfor %}
```
The `as_attachment` attribute of an export template controls its behavior when rendered. If true, the rendered content will be returned to the user as a downloadable file. If false, it will be displayed within the browser. (This may be handy e.g. for generating HTML content.)
A MIME type and file extension can optionally be defined for each export template. The default MIME type is `text/plain`.
## REST API Integration
When it is necessary to provide authentication credentials (such as when [`LOGIN_REQUIRED`](../configuration/optional-settings.md#login_required) has been enabled), it is recommended to render export templates via the REST API. This allows the client to specify an authentication token. To render an export template via the REST API, make a `GET` request to the model's list endpoint and append the `export` parameter specifying the export template name. For example:
```
GET /api/dcim/sites/?export=MyTemplateName
```
Note that the body of the response will contain only the rendered export template content, as opposed to a JSON object or list.
## Example
Here's an example device export template that will generate a simple Nagios configuration from a list of devices.
```
{% for device in queryset %}{% if device.status and device.primary_ip %}define host{
use generic-switch
host_name {{ device.name }}
address {{ device.primary_ip.address.ip }}
}
{% endif %}{% endfor %}
```
The generated output will look something like this:
```
define host{
use generic-switch
host_name switch1
address 192.0.2.1
}
define host{
use generic-switch
host_name switch2
address 192.0.2.2
}
define host{
use generic-switch
host_name switch3
address 192.0.2.3
}
```

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# NetBox Reports
A NetBox report is a mechanism for validating the integrity of data within NetBox. Running a report allows the user to verify that the objects defined within NetBox meet certain arbitrary conditions. For example, you can write reports to check that:
* All top-of-rack switches have a console connection
* Every router has a loopback interface with an IP address assigned
* Each interface description conforms to a standard format
* Every site has a minimum set of VLANs defined
* All IP addresses have a parent prefix
...and so on. Reports are completely customizable, so there's practically no limit to what you can test for.
## Writing Reports
Reports must be saved as files in the [`REPORTS_ROOT`](../configuration/optional-settings.md#reports_root) path (which defaults to `netbox/reports/`). Each file created within this path is considered a separate module. Each module holds one or more reports (Python classes), each of which performs a certain function. The logic of each report is broken into discrete test methods, each of which applies a small portion of the logic comprising the overall test.
!!! warning
The reports path includes a file named `__init__.py`, which registers the path as a Python module. Do not delete this file.
For example, we can create a module named `devices.py` to hold all of our reports which pertain to devices in NetBox. Within that module, we might define several reports. Each report is defined as a Python class inheriting from `extras.reports.Report`.
```
from extras.reports import Report
class DeviceConnectionsReport(Report):
description = "Validate the minimum physical connections for each device"
class DeviceIPsReport(Report):
description = "Check that every device has a primary IP address assigned"
```
Within each report class, we'll create a number of test methods to execute our report's logic. In DeviceConnectionsReport, for instance, we want to ensure that every live device has a console connection, an out-of-band management connection, and two power connections.
```
from dcim.choices import DeviceStatusChoices
from dcim.models import ConsolePort, Device, PowerPort
from extras.reports import Report
class DeviceConnectionsReport(Report):
description = "Validate the minimum physical connections for each device"
def test_console_connection(self):
# Check that every console port for every active device has a connection defined.
active = DeviceStatusChoices.STATUS_ACTIVE
for console_port in ConsolePort.objects.prefetch_related('device').filter(device__status=active):
if console_port.connected_endpoint is None:
self.log_failure(
console_port.device,
"No console connection defined for {}".format(console_port.name)
)
elif not console_port.connection_status:
self.log_warning(
console_port.device,
"Console connection for {} marked as planned".format(console_port.name)
)
else:
self.log_success(console_port.device)
def test_power_connections(self):
# Check that every active device has at least two connected power supplies.
for device in Device.objects.filter(status=DeviceStatusChoices.STATUS_ACTIVE):
connected_ports = 0
for power_port in PowerPort.objects.filter(device=device):
if power_port.connected_endpoint is not None:
connected_ports += 1
if not power_port.path.is_active:
self.log_warning(
device,
"Power connection for {} marked as planned".format(power_port.name)
)
if connected_ports < 2:
self.log_failure(
device,
"{} connected power supplies found (2 needed)".format(connected_ports)
)
else:
self.log_success(device)
```
As you can see, reports are completely customizable. Validation logic can be as simple or as complex as needed. Also note that the `description` attribute support markdown syntax. It will be rendered in the report list page.
!!! warning
Reports should never alter data: If you find yourself using the `create()`, `save()`, `update()`, or `delete()` methods on objects within reports, stop and re-evaluate what you're trying to accomplish. Note that there are no safeguards against the accidental alteration or destruction of data.
The following methods are available to log results within a report:
* log(message)
* log_success(object, message=None)
* log_info(object, message)
* log_warning(object, message)
* log_failure(object, message)
The recording of one or more failure messages will automatically flag a report as failed. It is advised to log a success for each object that is evaluated so that the results will reflect how many objects are being reported on. (The inclusion of a log message is optional for successes.) Messages recorded with `log()` will appear in a report's results but are not associated with a particular object or status. Log messages also support using markdown syntax and will be rendered on the report result page.
To perform additional tasks, such as sending an email or calling a webhook, after a report has been run, extend the `post_run()` method. The status of the report is available as `self.failed` and the results object is `self.result`.
Once you have created a report, it will appear in the reports list. Initially, reports will have no results associated with them. To generate results, run the report.
## Running Reports
!!! note
To run a report, a user must be assigned the `extras.run_report` permission. This is achieved by assigning the user (or group) a permission on the Report object and specifying the `run` action in the admin UI as shown below.
![Adding the run action to a permission](../../media/admin_ui_run_permission.png)
### Via the Web UI
Reports can be run via the web UI by navigating to the report and clicking the "run report" button at top right. Once a report has been run, its associated results will be included in the report view.
### Via the API
To run a report via the API, simply issue a POST request to its `run` endpoint. Reports are identified by their module and class name.
```
POST /api/extras/reports/<module>.<name>/run/
```
Our example report above would be called as:
```
POST /api/extras/reports/devices.DeviceConnectionsReport/run/
```
### Via the CLI
Reports can be run on the CLI by invoking the management command:
```
python3 manage.py runreport <module>
```
where ``<module>`` is the name of the python file in the ``reports`` directory without the ``.py`` extension. One or more report modules may be specified.