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  ~ Copyright (c) 2023-2024 Arista Networks, Inc.
  ~ Use of this source code is governed by the Apache License 2.0
  ~ that can be found in the LICENSE file.
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ANTA is a streamlined Python framework designed for efficient interaction with network devices. This section outlines how ANTA incorporates caching mechanisms to collect command outputs from network devices.

## Configuration

By default, ANTA utilizes [aiocache](https://github.com/aio-libs/aiocache)'s memory cache backend, also called [`SimpleMemoryCache`](https://aiocache.aio-libs.org/en/v0.12.2/caches.html#simplememorycache). This library aims for simplicity and supports asynchronous operations to go along with Python `asyncio` used in ANTA.

The `_init_cache()` method of the [AntaDevice](../advanced_usages/as-python-lib.md#antadevice-abstract-class) abstract class initializes the cache. Child classes can override this method to tweak the cache configuration:

```python
def _init_cache(self) -> None:
    """
    Initialize cache for the device, can be overridden by subclasses to manipulate how it works
    """
    self.cache = Cache(cache_class=Cache.MEMORY, ttl=60, namespace=self.name, plugins=[HitMissRatioPlugin()])
    self.cache_locks = defaultdict(asyncio.Lock)
```

The cache is also configured with `aiocache`'s [`HitMissRatioPlugin`](https://aiocache.aio-libs.org/en/v0.12.2/plugins.html#hitmissratioplugin) plugin to calculate the ratio of hits the cache has and give useful statistics for logging purposes in ANTA.

## Cache key design

The cache is initialized per `AntaDevice` and uses the following cache key design:

`<device_name>:<uid>`

The `uid` is an attribute of [AntaCommand](../advanced_usages/as-python-lib.md#antacommand-class), which is a unique identifier generated from the command, version, revision and output format.

Each UID has its own asyncio lock. This design allows coroutines that need to access the cache for different UIDs to do so concurrently. The locks are managed by the `self.cache_locks` dictionary.

## Mechanisms

By default, once the cache is initialized, it is used in the `collect()` method of `AntaDevice`. The `collect()` method prioritizes retrieving the output of the command from the cache. If the output is not in the cache, the private `_collect()` method will retrieve and then store it for future access.

## How to disable caching

Caching is enabled by default in ANTA following the previous configuration and mechanisms.

There might be scenarios where caching is not wanted. You can disable caching in multiple ways in ANTA:

1. Caching can be disabled globally, for **ALL** commands on **ALL** devices, using the `--disable-cache` global flag when invoking anta at the [CLI](../cli/overview.md#invoking-anta-cli):
    ```bash
    anta --disable-cache --username arista --password arista nrfu table
    ```
2. Caching can be disabled per device, network or range by setting the `disable_cache` key to `True` when defining the ANTA [Inventory](../usage-inventory-catalog.md#create-an-inventory-file) file:
    ```yaml
    anta_inventory:
      hosts:
      - host: 172.20.20.101
        name: DC1-SPINE1
        tags: ["SPINE", "DC1"]
        disable_cache: True  # Set this key to True
      - host: 172.20.20.102
        name: DC1-SPINE2
        tags: ["SPINE", "DC1"]
        disable_cache: False # Optional since it's the default

      networks:
      - network: "172.21.21.0/24"
        disable_cache: True

      ranges:
      - start: 172.22.22.10
        end: 172.22.22.19
        disable_cache: True
    ```
    This approach effectively disables caching for **ALL** commands sent to devices targeted by the `disable_cache` key.

3. For tests developers, caching can be disabled for a specific [`AntaCommand`](../advanced_usages/as-python-lib.md#antacommand-class) or [`AntaTemplate`](../advanced_usages/as-python-lib.md#antatemplate-class) by setting the `use_cache` attribute to `False`. That means the command output will always be collected on the device and therefore, never use caching.

### Disable caching in a child class of `AntaDevice`

Since caching is implemented at the `AntaDevice` abstract class level, all subclasses will inherit that default behavior. As a result, if you need to disable caching in any custom implementation of `AntaDevice` outside of the ANTA framework, you must initialize `AntaDevice` with `disable_cache` set to `True`:

```python
class AnsibleEOSDevice(AntaDevice):
  """
  Implementation of an AntaDevice using Ansible HttpApi plugin for EOS.
  """
  def __init__(self, name: str, connection: ConnectionBase, tags: set = None) -> None:
      super().__init__(name, tags, disable_cache=True)
```