Storages
When using Hishel, you have complete control over the configuration of how the responses should be stored. You can select the serializer and storage on your own.
This section contains examples of how to use the storages.
Filesystem storage
To explicitly specify the storage, we should create it first and pass it to the HTTP caching class.
Example:
Or if you are using Transports:
import hishel
import httpx
storage = hishel.FileStorage()
transport = hishel.CacheTransport(transport=httpx.HTTPTransport(), storage=storage)
Here's how the filesystem storage looks:
📁 root
└─╴📁 .cache
└─╴📁 hishel
├─╴📄 GET|github.com|a9022e44881123781045f6fadf37a8b1
├─╴📄 GET|www.google.com|8bfc7fffcfd5f2b8e3485d0cc7450c98
├─╴📄 GET|www.python-httpx.org|5f004f4f08bd774c4bc4b270a0ca542e
└─╴📄 GET|hishel.com|41ebb4dd16761e94e2ee36b71e0d916e
Note
Note that by default, file names are just the hashed value, without the http method or hostname; to have meaningful names, see custom cache keys.
Storage directory
If the responses are saved in the filesystem, there should be a directory that contains our responses.
By default it's .cache/hishel.
If you want to change the directory, do so as follows.
Responses ttl in FileStorage
You can explicitly specify the ttl for stored responses in this manner.
If you do this, Hishel will delete any stored responses whose ttl has expired.
In this example, the stored responses were limited to 1 hour.
Check ttl every
In order to avoid excessive memory utilization, Hishel must periodically clean the old responses, or responses that are not being used and should be deleted from the cache.
It clears the cache by default every minute, but you may change the interval directly with the check_ttl_every argument.
Example:
In-memory storage
Hishel has an in-memory cache that can be used when you don't need the cache to be persistent.
You should understand that in memory cache means that all cached responses are stored in RAM, so you should be cautious and possibly configure the cache's maximum size to avoid wasting RAM.
Example:
Or if you are using Transports:
import hishel
import httpx
storage = hishel.InMemoryStorage()
client = hishel.CacheTransport(transport=httpx.HTTPTransport(), storage=storage)
Set the maximum capacity
You can also specify the maximum number of requests that the storage can cache.
Example:
import hishel
storage = hishel.InMemoryStorage(capacity=64)
client = hishel.CacheClient(storage=storage)
Note
When the number of responses exceeds the cache's capacity, Hishel employs the LFU algorithm to remove some of the responses.
Redis storage
Hishel includes built-in redis support, allowing you to store your responses in redis.
Example:
Or if you are using Transports:
import hishel
import httpx
storage = hishel.RedisStorage()
client = hishel.CacheTransport(transport=httpx.HTTPTransport(), storage=storage)
Custom redis client
If you need to connect somewhere other than localhost, this is how you can do it.
import hishel
import redis
storage = hishel.RedisStorage(
client=redis.Redis(
host="192.168.0.85",
port=8081,
)
)
Responses ttl in RedisStorage
You can explicitly specify the ttl for stored responses in this manner.
If you do this, Hishel will delete any stored responses whose ttl has expired.
In this example, the stored responses were limited to 1 hour.
SQLite storage
Hishel includes built-in sqlite support, allowing you to store your responses in sqlite database.
Example:
Or if you are using Transports:
import hishel
import httpx
storage = hishel.SQLiteStorage()
client = hishel.CacheTransport(transport=httpx.HTTPTransport())
Note
Make sure Hishel has the sqlite extension installed if you want to use the AsyncSQLiteStorage.
Sqlite custom connection
If you want more control over the underlying sqlite connection, you can explicitly pass it.
import hishel
import sqlite3
client = hishel.CacheClient(
storage=hishel.SQLiteStorage(connection=sqlite3.connect("my_db_path", timeout=5))
)
Responses ttl in SQLiteStorage
You can explicitly specify the ttl for stored responses in this manner.
If you do this, Hishel will delete any stored responses whose ttl has expired.
In this example, the stored responses were limited to 1 hour.
AWS S3 storage
Hishel has built-in AWS S3 support, allowing users to store responses in the cloud.
Example:
import hishel
storage = hishel.S3Storage(bucket_name="cached_responses")
client = hishel.CacheClient(storage=storage)
Or if you are using Transports
import httpx
import hishel
storage = hishel.S3Storage(bucket_name="cached_responses")
transport = hishel.CacheTransport(httpx.HTTPTransport(), storage=storage)
Custom AWS S3 client
If you want to manually configure the client instance, pass it to Hishel.
import hishel
import boto3
s3_client = boto3.client('s3')
storage = hishel.S3Storage(bucket_name="cached_responses", client=s3_client)
client = hishel.CacheClient(storage=storage)
Responses ttl in S3Storage
You can explicitly specify the ttl for stored responses in this manner.
If you do this, Hishel will delete any stored responses whose ttl has expired.
In this example, the stored responses were limited to 1 hour.
Check ttl every
In order to avoid excessive memory utilization, Hishel must periodically clean the old responses, or responses that are not being used and should be deleted from the cache.
It clears the cache by default every minute, but you may change the interval directly with the check_ttl_every argument.
Example: