.cargo | ||
client-examples | ||
docker | ||
src | ||
.dockerignore | ||
.drone.yml | ||
.gitignore | ||
Cargo.lock | ||
Cargo.toml | ||
defaults.toml | ||
dev.toml | ||
flake.lock | ||
flake.nix | ||
LICENSE | ||
pict-rs.nix | ||
pict-rs.toml | ||
README.md |
pict-rs
a simple image hosting service
Navigation
Links
Usage
Running
Commandline
$ pict-rs -h
A simple image hosting service
Usage: pict-rs [OPTIONS] <COMMAND>
Commands:
run Runs the pict-rs web server
filesystem Migrate from the provided filesystem storage
object-storage Migrate from the provided object storage
help Print this message or the help of the given subcommand(s)
Options:
-c, --config-file <CONFIG_FILE>
Path to the pict-rs configuration file
--old-db-path <OLD_DB_PATH>
Path to the old pict-rs sled database
--log-format <LOG_FORMAT>
Format of logs printed to stdout [possible values: compact, json, normal, pretty]
--log-targets <LOG_TARGETS>
Log levels to print to stdout, respects RUST_LOG formatting
--console-address <CONSOLE_ADDRESS>
Address and port to expose tokio-console metrics
--console-buffer-capacity <CONSOLE_BUFFER_CAPACITY>
Capacity of the console-subscriber Event Buffer
--opentelemetry-url <OPENTELEMETRY_URL>
URL to send OpenTelemetry metrics
--opentelemetry-service-name <OPENTELEMETRY_SERVICE_NAME>
Service Name to use for OpenTelemetry
--opentelemetry-targets <OPENTELEMETRY_TARGETS>
Log levels to use for OpenTelemetry, respects RUST_LOG formatting
--save-to <SAVE_TO>
File to save the current configuration for reproducible runs
-h, --help
Print help information
-V, --version
Print version information
$ pict-rs run -h
Runs the pict-rs web server
Usage: pict-rs run [OPTIONS] [COMMAND]
Commands:
filesystem Run pict-rs with filesystem storage
object-storage Run pict-rs with object storage
help Print this message or the help of the given subcommand(s)
Options:
-a, --address <ADDRESS>
The address and port to bind the pict-rs web server
--api-key <API_KEY>
The API KEY required to access restricted routes
--worker-id <WORKER_ID>
ID of this pict-rs node. Doesn't do much yet
--media-preprocess-steps <MEDIA_PREPROCESS_STEPS>
Optional pre-processing steps for uploaded media
--media-skip-validate-imports <MEDIA_SKIP_VALIDATE_IMPORTS>
Whether to validate media on the "import" endpoint [possible values: true, false]
--media-max-width <MEDIA_MAX_WIDTH>
The maximum width, in pixels, for uploaded media
--media-max-height <MEDIA_MAX_HEIGHT>
The maximum height, in pixels, for uploaded media
--media-max-area <MEDIA_MAX_AREA>
The maximum area, in pixels, for uploaded media
--media-max-file-size <MEDIA_MAX_FILE_SIZE>
The maximum size, in megabytes, for uploaded media
--media-max-frame-count <MEDIA_MAX_FRAME_COUNT>
The maximum number of frames allowed for uploaded GIF and MP4s
--media-enable-silent-video <MEDIA_ENABLE_SILENT_VIDEO>
Whether to enable GIF and silent video uploads [possible values: true, false]
--media-enable-full-video <MEDIA_ENABLE_FULL_VIDEO>
Whether to enable full video uploads [possible values: true, false]
--media-video-codec <MEDIA_VIDEO_CODEC>
Enforce a specific video codec for uploaded videos [possible values: h264, h265, av1, vp8, vp9]
--media-audio-codec <MEDIA_AUDIO_CODEC>
Enforce a specific audio codec for uploaded videos [possible values: aac, opus, vorbis]
--media-filters <MEDIA_FILTERS>
Which media filters should be enabled on the `process` endpoint
--media-format <MEDIA_FORMAT>
Enforce uploaded media is transcoded to the provided format [possible values: jpeg, webp, png]
-h, --help
Print help information (use `--help` for more detail)
Try running help
commands for more runtime configuration options
$ pict-rs run filesystem -h
$ pict-rs run object-storage -h
$ pict-rs run filesystem sled -h
$ pict-rs run object-storage sled -h
See pict-rs.toml
for more
configuration
Example:
Run with the default configuration
$ ./pict-rs run
Running on all interfaces, port 8080, storing data in /opt/data
$ ./pict-rs run -a 0.0.0.0:8080 filesystem -p /opt/data/files sled -p /opt/data/sled-repo
Running locally, port 9000, storing data in data/, and converting all uploads to PNG
$ ./pict-rs run -a 127.0.0.1:9000 --media-format png filesystem -p data/files sled -p data/sled-repo
Running locally, port 8080, storing data in data/, and only allowing the thumbnail
and identity
filters
$ ./pict-rs run -a 127.0.0.1:8080 --media-filters thumbnail --media-filters identity filesystem -p data/files sled -p data/sled-repo
Running from a configuration file
$ ./pict-rs -c ./pict-rs.toml run
Migrating to object storage from filesystem storage
$ ./pict-rs filesystem -p data/sled-repo object-storage -a ACCESS_KEY -b BUCKET_NAME -r REGION -s SECRET_KEY
Dumping configuration overrides to a toml file
$ ./pict-rs --save-to pict-rs.toml run object-storage -a ACCESS_KEY -b pict-rs -r us-east-1 -s SECRET_KEY sled -p data/sled-repo
Docker
Run the following commands:
# Create a folder for the files (anywhere works)
$ mkdir ./pict-rs
$ cd ./pict-rs
$ mkdir -p volumes/pictrs
$ sudo chown -R 991:991 volumes/pictrs
$ wget https://git.asonix.dog/asonix/pict-rs/raw/branch/main/docker/prod/docker-compose.yml
$ sudo docker-compose up -d
Note
- pict-rs makes use of the system's temporary folder. This is generally
/tmp
on linux - pict-rs makes use of an imagemagick security policy at
/usr/lib/ImageMagick-$VERSION/config-Q16HDRI/policy.xml
API
pict-rs offers the following endpoints:
-
POST /image
for uploading an image. Uploaded content must be valid multipart/form-data with an image array located within theimages[]
keyThis endpoint returns the following JSON structure on success with a 201 Created status
{ "files": [ { "delete_token": "JFvFhqJA98", "file": "lkWZDRvugm.jpg", "details": { "width": 800, "height": 800, "content_type": "image/jpeg", "created_at": "2022-04-08T18:33:42.957791698Z" } }, { "delete_token": "kAYy9nk2WK", "file": "8qFS0QooAn.jpg", "details": { "width": 400, "height": 400, "content_type": "image/jpeg", "created_at": "2022-04-08T18:33:42.957791698Z" } }, { "delete_token": "OxRpM3sf0Y", "file": "1hJaYfGE01.jpg", "details": { "width": 400, "height": 400, "content_type": "image/jpeg", "created_at": "2022-04-08T18:33:42.957791698Z" } } ], "msg": "ok" }
-
POST /image/backgrounded
Upload an image, like the/image
endpoint, but don't wait to validate and process it. This endpoint returns the following JSON structure on success with a 202 Accepted status{ "uploads": [ { "upload_id": "c61422e1-9294-4f1f-977f-c696b7939467", }, { "upload_id": "62cc707f-725c-44b6-908f-2bd8946c3c29" } ], "msg": "ok" }
-
GET /image/download?url={url}&backgrounded=(true|false)
Download an image from a remote server, returning the same JSON payload as thePOST /image
endpoint by default.if
backgrounded
is set totrue
, then the ingest processing will be queued for later and the response json will be the same as thePOST /image/backgrounded
endpoint. -
GET /image/backgrounded/claim?upload_id={uuid}
Wait for a backgrounded upload to complete, claiming it's result Possible results:- 200 Ok (validation and ingest complete):
{ "files": [ { "delete_token": "OxRpM3sf0Y", "file": "1hJaYfGE01.jpg", "details": { "width": 400, "height": 400, "content_type": "image/jpeg", "created_at": "2022-04-08T18:33:42.957791698Z" } } ], "msg": "ok" }
- 422 Unprocessable Entity (validation or otherwise failure):
{ "msg": "Error message about what went wrong with upload" }
- 204 No Content (Upload validation and ingest is not complete, and waiting timed out) In this case, trying again is fine
- 200 Ok (validation and ingest complete):
-
GET /image/original/{file}
for getting a full-resolution image.file
here is thefile
key from the/image
endpoint's JSON -
GET /image/details/original/{file}
for getting the details of a full-resolution image. The returned JSON is structured like so:{ "width": 800, "height": 537, "content_type": "image/webp", "created_at": "2022-04-08T18:33:42.957791698Z" }
-
GET /image/process.{ext}?src={file}&...
get a file with transformations applied. existing transformations include-
identity=true
: apply no changes -
blur={float}
: apply a gaussian blur to the file -
thumbnail={int}
: produce a thumbnail of the image fitting inside an{int}
by{int}
square using raw pixel sampling -
resize={int}
: produce a thumbnail of the image fitting inside an{int}
by{int}
square using a Lanczos2 filter. This is slower than sampling but looks a bit better in some cases -
resize={filter}.(a){int}
: produce a thumbnail of the image fitting inside an{int}
by{int}
square, or when(a)
is present, produce a thumbnail whose area is smaller than{int}
.{filter}
is optional, and indicates what filter to use when resizing the image. Available filters areLanczos
,Lanczos2
,LanczosSharp
,Lanczos2Sharp
,Mitchell
, andRobidouxSharp
.Examples:
resize=300
: Produce an image fitting inside a 300x300 px squarereizie=.a10000
: Produce an image whose area is at most 10000 pxresize=Mitchell.200
: Produce an image fitting inside a 200x200 px square using the Mitchell filterresize=RobidouxSharp.a40000
: Produce an image whose area is at most 40000 px using the RobidouxSharp filter
-
crop={int-w}x{int-h}
: produce a cropped version of the image with an{int-w}
by{int-h}
aspect ratio. The resulting crop will be centered on the image. Either the width or height of the image will remain full-size, depending on the image's aspect ratio and the requested aspect ratio. For example, a 1600x900 image cropped with a 1x1 aspect ratio will become 900x900. A 1600x1100 image cropped with a 16x9 aspect ratio will become 1600x900.
Supported
ext
file extensions includepng
,jpg
, andwebp
An example of usage could be
GET /image/process.jpg?src=asdf.png&thumbnail=256&blur=3.0
which would create a 256x256px JPEG thumbnail and blur it
-
-
GET /image/process_backgrounded.{ext}?src={file}&...
queue transformations to be applied to a given file. This accepts the same arguments as theprocess.{ext}
endpoint, but does not wait for the processing to complete. -
GET /image/details/process.{ext}?src={file}&...
for getting the details of a processed image. The returned JSON is the same format as listed for the full-resolution details endpoint. -
DELETE /image/delete/{delete_token}/{file}
orGET /image/delete/{delete_token}/{file}
to delete a file, wheredelete_token
andfile
are from the/image
endpoint's JSON
The following endpoints are protected by an API key via the X-Api-Token
header, and are disabled
unless the --api-key
option is passed to the binary or the PICTRS__SERVER__API_KEY environment variable is
set.
A secure API key can be generated by any password generator.
-
POST /internal/import
for uploading an image while preserving the filename as the first alias. The upload format and response format are the same as thePOST /image
endpoint. -
POST /internal/purge?alias={alias}
Purge a file by it's alias. This removes all aliases and files associated with the query.This endpoint returns the following JSON
{ "msg": "ok", "aliases": ["asdf.png"] }
-
GET /internal/aliases?alias={alias}
Get the aliases for a file by it's aliasThis endpiont returns the same JSON as the purge endpoint
-
DELETE /internal/variants
Queue a cleanup for generated variants of uploaded images.If any of the cleaned variants are fetched again, they will be re-generated.
-
GET /internal/identifier
Get the image identifier (file path or object path) for a given aliasOn success, the returned json should look like this:
{ "msg": "ok", "identifier": "/path/to/object" }
Additionally, all endpoints support setting deadlines, after which the request will cease
processing. To enable deadlines for your requests, you can set the X-Request-Deadline
header to an
i128 value representing the number of nanoseconds since the UNIX Epoch. A simple way to calculate
this value is to use the time
crate's OffsetDateTime::unix_timestamp_nanos
method. For example,
// set deadline of 1ms
let deadline = time::OffsetDateTime::now_utc() + time::Duration::new(0, 1_000);
let request = client
.get("http://pict-rs:8080/image/details/original/asdfghjkla.png")
.insert_header(("X-Request-Deadline", deadline.unix_timestamp_nanos().to_string())))
.send()
.await;
Administration
0.3 to 0.4 Migration Guide
pict-rs will automatically migrate from the 0.3 db format to the 0.4 db format on the first launch of 0.4. If you are running the provided docker container without any custom configuration, there are no additional steps.
If you have any custom configuration for file paths, or you are running outside of docker, then there is some extra configuration that needs to be done.
If your previous PICTRS__PATH
variable or path
config was set, it needs to be translated to the
new configuration format.
PICTRS_PATH
has split into three separate config options:
PICTRS__OLD_DB__PATH
: This should be set to the same value thatPICTRS__PATH
was. It is used during the migration from 0.3 to 0.4PICTRS__REPO__PATH
: This is the location of the 0.4 database. It should be set to a subdirectory of the previousPICTRS__PATH
directory. I would recommend/previous/path/sled-repo
PICTRS__STORE__PATH
: This is the location of the files. It should be thefiles
subdirectory of the previous PICTRS__PATH directory.
if you configured via the configuration file, these would be
[old_db]
path = "/previous/path"
[repo]
path = "/previous/path/sled-repo"
[store]
path = "/previous/path/files"
If the migration doesn't work due to a configuration error, the new sled-repo directory can be deleted and a new migration will be automatically triggered on the next launch.
Filesystem to Object Storage migration
After migrating from 0.3 to 0.4, it is possible to migrate to object storage. This can be useful if hosting in a cloud environment, since object storage is generally far cheaper than block storage.
The command will look something like this:
$ pict-rs \
filesystem \
-p /path/to/files \
object-storage \
-e https://object-storage-endpoint \
-b bucket-name \
-r region \
-a access-key \
-s secret-key \
sled \
-p /path/to/sled-repo
If you are running the docker container with default paths, it can be simplified to the following:
$ pict-rs \
filesystem \
object-storage \
-e https://object-storage-endpoint \
-b bucket-name \
-r region \
-a access-key \
-s secret-key
This command must be run while pict-rs is offline.
After you've completed the migration, update your pict-rs configuration to use object storage. If you configure using environment variables, make sure the following are set:
PICTRS__STORE__TYPE=object_storage
PICTRS__STORE__ENDPOINT=https://object-storage-endpoint
PICTRS__STORE__BUCKET_NAME=bucket-name
PICTRS__STORE__REGION=region
PICTRS__STORE__USE_PATH_STYLE=false
(set to true if your object storage requires path style access)PICTRS__STORE__ACCESS_KEY=access-key
PICTRS__STORE__SECRET_KEY=secret-key
If you use the configuration file, this would be
[store]
type = "object_storage"
endpoint = "https://object-storage-endpoint"
bucket_name = "bucket-name"
region = "region"
use_path_style = false # Set to true if your object storage requires path style access
access_key = "access-key"
secret_key = "secret-key"
Development
pict-rs has a few native dependencies that need to be installed in order for it to run properly. Currently these are as follows:
- imagemagick 7.1.1 (although 7.0 and 7.1.0 may also work)
- ffmpeg 6 (although 4.4 and 5 may also work)
- exiftool 12.62 (although 12.50 or newer may also work)
Additionally, pict-rs requires a protobuf compiler during the compilation step to support tokio-console, a runtime debug tool.
Installing these from your favorite package manager should be sufficient. Below are some fun ways to develop and test a pict-rs binary.
Nix Development
I personally use nix for development. The provided flake.nix
file should be
sufficient to create a development environment for pict-rs on any linux distribution, provided nix
is installed.
With direnv and nix-direnv
With these tools, the pict-rs development environment can be automatically loaded when entering the pict-rs directory
Setup (only once):
$ echo 'use flake' > .envrc
$ direnv allow
Running:
$ cargo run -- -c dev.toml run
With just Nix
$ nix develop
$ cargo run -- -c dev.toml run
Docker Development
Previously, I have run pict-rs from inside containers that include the correct dependencies. The two options listed below are ones I have personally tried.
With Arch
This option doesn't take much configuration, just compile the binary and run it from inside the container
$ cargo build
$ sudo docker run --rm -it -p 8080:8080 -v "$(pwd):/mnt" archlinux:latest
> pacman -Syu imagemagick ffmepg perl-image-exiftool
> cp /mnt/docker/prod/root/usr/lib/ImageMagick-7.1.1/config-Q16HDRI/policy.xml /usr/lib/ImageMagick-7.1.1/config-Q16HDRI/
> PATH=$PATH:/usr/bin/vendor_perl /mnt/target/debug/pict-rs --log-targets debug run
With Alpine
This option requires cargo-zigbuild
to be installed. Cargo Zigbuild is a tool that links rust
binaries with Zig's linker, enabling easy cross-compiles to many targets. Zig has put a lot of
effort into seamless cross-compiling, and it is nice to be able to take advantage of that work from
rust.
$ cargo zigbuild --target=x86_64-unknown-linux-musl
$ sudo docker run --rm -it -p 8080:8080 -v "$(pwd):/mnt" alpine:3.18
> apk add imagemagick ffmpeg exiftool
> cp /mnt/docker/prod/root/usr/lib/ImageMagick-7.1.1/config-Q16HDRI/policy.xml /usr/lib/ImageMagick-7.1.1/config-Q16HDRI/
> /mnt/target/x86_64-unknown-linux-musl/debug/pict-rs --log-targets debug run
Contributing
Feel free to open issues for anything you find an issue with. Please note that any contributed code will be licensed under the AGPLv3.
FAQ
Question: Is pict-rs stateless
Answer: No. pict-rs relies on an embedded key-value store called sled
to store metadata about
uploaded media. This database maintains a set of files on the local disk and cannot be configured to
use a network.
Question: Can I use a different database with pict-rs
Answer: No. Currently pict-rs only supports the embedded key-value store called sled
. In the
future, I would like to support Postgres
and BonsaiDB
, but I am currently not offering a
timeline on support. If you care about this and are a rust developer, I would accept changes.
Question: How can I submit changes
Answer: If you would like to contribute to pict-rs, you can push your code to a public git host of your choice and let me know you did so via matrix or email. I can pull and merge your changes into this repository from there.
Alternatively, you are welcome to email me a patch that I can apply.
I will not be creating additional accounts on my forgejo server, sorry not sorry.
Question: I want to configure it with yaml instead of toml
Answer: That's not a question, but you can configure pict-rs with json, hjson, yaml, ini, or toml. Writing configs in other formats is left as an exercise to the reader.
Question: How do I donate to pict-rs
Answer: You don't. I get paid by having a job where I do other stuff. Don't give me money that I don't need.
License
Copyright © 2022 Riley Trautman
pict-rs is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
pict-rs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. This file is part of pict-rs.
You should have received a copy of the GNU General Public License along with pict-rs. If not, see http://www.gnu.org/licenses/.