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# Conditions
Conditions are NetBox's mechanism for evaluating whether a set data meets a prescribed set of conditions. It allows the author to convey simple logic by declaring an arbitrary number of attribute-value-operation tuples nested within a hierarchy of logical AND and OR statements.
## Conditions
A condition is expressed as a JSON object with the following keys:
| Key name | Required | Default | Description |
|----------|----------|---------|-------------|
| attr | Yes | - | Name of the key within the data being evaluated |
| value | Yes | - | The reference value to which the given data will be compared |
| op | No | `eq` | The logical operation to be performed |
| negate | No | False | Negate (invert) the result of the condition's evaluation |
### Available Operations
* `eq`: Equals
* `gt`: Greater than
* `gte`: Greater than or equal to
* `lt`: Less than
* `lte`: Less than or equal to
* `in`: Is present within a list of values
* `contains`: Contains the specified value
### Accessing Nested Keys
To access nested keys, use dots to denote the path to the desired attribute. For example, assume the following data:
```json
{
"a": {
"b": {
"c": 123
}
}
}
```
The following condition will evaluate as true:
```json
{
"attr": "a.b.c",
"value": 123
}
```
### Examples
`name` equals "foo":
```json
{
"attr": "name",
"value": "foo"
}
```
`name` does not equal "foo"
```json
{
"attr": "name",
"value": "foo",
"negate": true
}
```
`asn` is greater than 65000:
```json
{
"attr": "asn",
"value": 65000,
"op": "gt"
}
```
`status` is not "planned" or "staging":
```json
{
"attr": "status.value",
"value": ["planned", "staging"],
"op": "in",
"negate": true
}
```
!!! note "Evaluating static choice fields"
Pay close attention when evaluating static choice fields, such as the `status` field above. These fields typically render as a dictionary specifying both the field's raw value (`value`) and its human-friendly label (`label`). be sure to specify on which of these you want to match.
## Condition Sets
Multiple conditions can be combined into nested sets using AND or OR logic. This is done by declaring a JSON object with a single key (`and` or `or`) containing a list of condition objects and/or child condition sets.
### Examples
`status` is "active" and `primary_ip4` is defined _or_ the "exempt" tag is applied.
```json
{
"or": [
{
"and": [
{
"attr": "status.value",
"value": "active"
},
{
"attr": "primary_ip4",
"value": null,
"negate": true
}
]
},
{
"attr": "tags.slug",
"value": "exempt",
"op": "contains"
}
]
}
```