In-memory

A very simple in-memory filesystem is available which is only accessible via HTTP under /memfs. Use the POST or PUT method with the path to that file. The body of the request contains the contents of the file. No particular encoding or Content-Type is required. The file can then be downloaded from the same path.

This filesystem is practical for often changing data (e.g. HLS live stream) in order not to stress the disk or to wear out a flash drive. Also you don't need to setup a RAM drive or similar on your system.

PUT/POST

curl http://127.0.0.1:8080/memfs/path/to/a/file.txt -X PUT -d @somefile.txt

GET

curl http://127.0.0.1:8080/memfs/path/to/a/file.txt -o file.txt

DELETE

curl http://127.0.0.1:8080/memfs/path/to/a/file.txt -X DELETE

The returned Content-Type is based solely on the file extension. For a list of known mime-types and their extensions see storage.mime_types in the configuration.

Access protection

It is strongly recommended to enable a username/password (HTTP Basic-Auth) protection for any PUT/POST and DELETE operations on /memfs. GET operations are not protected.

In-memory

By default HTTP Basic-Auth is enabled with the username "admin" and a random password.

Fetch a file from the memory filesystem

get

Fetch a file from the memory filesystem

Path parameters

pathstringRequired

Path to file

Responses

application/dataapplication/json

Responsestring

application/dataapplication/json

Add a file to the memory filesystem

put

Writes or overwrites a file on the memory filesystem

Authorizations

Path parameters

pathstringRequired

Path to file

Body

integer[]Optional

Responses

text/plainapplication/json

Responsestring

text/plainapplication/json

Remove a file from the memory filesystem

delete

Remove a file from the memory filesystem

Authorizations

Path parameters

pathstringRequired

Path to file

Responses

Responsestring

delete

HTTPcURLJavaScriptPython

DELETE /{path} HTTP/1.1
Host: memfs
Authorization: Basic username:password
Accept: */*

text

Example:

Use these endpoints to, e.g., store HLS chunks and .m3u8 files (in contrast to an actual disk or a ramdisk):

ffmpeg -f lavfi -re -i testsrc2=size=640x480:rate=25 -c:v libx264 -preset:v ultrafast -r 25 -g 50 -f hls -start_number 0 -hls_time 2 -hls_list_size 6 -hls_flags delete_segments+temp_file+append_list -method PUT -hls_segment_filename http://127.0.0.1:8080/memfs/foobar_%04d.ts -y http://127.0.0.1:8080/memfs/foobar.m3u8

Then you can play it generally with, e.g., ffplay http://127.0.0.1:8080/memfs/foobar.m3u8.

API

The contents of the /memfs are also accessible via the API in the same way as described above, but with the same protection as the API (see API-Security configuration) for all operations. It is also possible to list all files that are currently in the filesystem.

Create, Update

Example:

Curl

echo 'test' > example.txt && \
curl http://127.0.0.1:8080/api/v3/fs/mem/example.txt \
   -d @example.txt \
   -X PUT

PyClient

from core_client import Client

client = Client(base_url="http://127.0.0.1:8080")
client.login()

client.v3_fs_put_file(
    name: "mem",
    path: "example.txt",
    data: b"test"
)

GoClient

import (
    "strings"
    "github.com/datarhei/core-client-go/v16"
)

client, _ := coreclient.New(coreclient.Config{
    Address: "https://127.0.0.1:8080",
})

data := strings.NewReader("test")
err := client.FilesystemAddFile("mem", "/example.txt", data)

The contents for the upload has to be provided as an io.Reader.

After the successful upload the file is available at /memfs/example.txt and /api/v3/fs/mem/example.txt.

Description:

Add a file to the memory filesystem

put

Writes or overwrites a file on the memory filesystem

Authorizations

Path parameters

pathstringRequired

Path to file

Body

integer[]Optional

Responses

text/plainapplication/json

Responsestring

text/plainapplication/json

Read

List all files

Listing all currently stored files is done by calling /api/v3/fs/mem. It also accepts the query parameters pattern, sort (name, size, or lastmod) and order (asc or desc). If none of the parameters are given, all files will be listed sorted by their last modification time in ascending order.

With the pattern parameter you can filter the list based on a glob pattern, with the addition of the ** placeholder to include multiple subdirectories, e.g. listing all .ts file in the root directory has the pattern /*.ts, listing all .ts file in the whole filesystem has the pattern /**.ts.

Example:

Curl

curl "http://127.0.0.1:8080/api/v3/fs/mem?sort=name&order=asc" \
   -X GET

PyClient

from core_client import Client

client = Client(base_url="http://127.0.0.1:8080")
client.login()

core_memfs_list = client.v3_fs_get_file_list(name="mem")
print(core_memfs_list)

GoClient

import (
    "fmt"
    "github.com/datarhei/core-client-go/v16"
)

client, _ := coreclient.New(coreclient.Config{
    Address: "https://127.0.0.1:8080",
})

files, err := client.FilesystemList("mem", "/*.", coreclient.SORT_NAME, coreclient.ORDER_ASC)

for _, file := range files {
    fmt.Printf("%+v\n", file)
}

Description:

List all files on the memory filesystem

get

List all files on the memory filesystem. The listing can be ordered by name, size, or date of last modification in ascending or descending order.

Authorizations

Query parameters

globstringOptional

glob pattern for file names

sortstringOptional

none, name, size, lastmod

orderstringOptional

asc, desc

Responses

get

HTTPcURLJavaScriptPython

GET /v3/fs/mem HTTP/1.1
Host: api
Authorization: YOUR_API_KEY
Accept: */*

200

OK

[
  {
    "last_modified": 1,
    "name": "text",
    "size_bytes": 1
  }
]

Download a file

For downloading a file you have to specify the complete path and filename. The Content-Type will always be application/data.

Example:

Curl

curl http://127.0.0.1:8080/api/v3/fs/mem/example.txt \
   -X GET

PyClient

from core_client import Client

client = Client(base_url="http://127.0.0.1:8080")
client.login()

core_memfs_file = client.v3_fs_get_file(
    name="mem",
    path="example.txt"
)
print(core_memfs_file)

GoClient

import (
    "github.com/datarhei/core-client-go/v16"
)

client, _ := coreclient.New(coreclient.Config{
    Address: "https://127.0.0.1:8080",
})

data, err := client.FilesystemGetFile("mem", "/example.txt")
defer data.Close()

The returned data is an io.ReadCloser.

Description:

Fetch a file from the memory filesystem

get

Fetch a file from the memory filesystem

Authorizations

Path parameters

pathstringRequired

Path to file

Responses

application/dataapplication/json

Responsestring

application/dataapplication/json

Link

Linking a file will return a redirect to the linked file. The target of the redirect has to be in the body of the request.

Example:

Curl

curl http://127.0.0.1:8080/api/v3/fs/mem/example2.txt \
   -d 'example.txt'
   -X PATCH

PyClient

Missed.

GoClient

This is not implemented in the client.

Description:

Create a link to a file in the memory filesystem

patch

Create a link to a file in the memory filesystem. The file linked to has to exist.

Authorizations

Path parameters

pathstringRequired

Path to file

Body

stringOptional

Responses

text/plainapplication/json

Responsestring

text/plainapplication/json

Delete

For deleting a file you have to specify the complete path and filename.

Example:

Curl

curl http://127.0.0.1:8080/api/v3/fs/mem/example.txt \
   -X DELETE

PyClient

from core_client import Client

client = Client(base_url="http://127.0.0.1:8080")
client.login()

client.v3_fs_delete_file(
    name="mem",
    path="example.txt"
)

GoClient

import (
    "github.com/datarhei/core-client-go/v16"
)

client, _ := coreclient.New(coreclient.Config{
    Address: "https://127.0.0.1:8080",
})

err := client.FilesystemDeleteFile("mem", "/example.txt")

Description:

Remove a file from the memory filesystem

delete

Remove a file from the memory filesystem

Authorizations

Path parameters

pathstringRequired

Path to file

Responses

Responsestring

delete

HTTPcURLJavaScriptPython

DELETE /v3/fs/mem/{path} HTTP/1.1
Host: api
Authorization: YOUR_API_KEY
Accept: */*

text

Configuration

In-memory