DEPRECATION NOTICE: Textile's hosted Hub infrastructure will be taken off-line on January 9th, 2023. At this time, all ThreadDB and Bucket data will no longer be available, and will subsequently be removed. See https://github.com/textileio/textile/issues/578 for further details.
textile
Textile hub services and buckets lib
Textile connects and extends Libp2p, IPFS, and Filecoin. Three interoperable technologies makeup Textile:
- ThreadDB: A server-less p2p database built on Libp2p
- Powergate: File storage built on Filecoin and IPFS
- Buckets: File and dynamic directory storage built on ThreadDB, Powergate, and UnixFS.
Join us on our public Slack channel for news, discussions, and status updates. Check out our blog for the latest posts and announcements.
Table of Contents
Security
Textile is still under heavy development and no part of it should be used before a thorough review of the underlying code and an understanding APIs and protocols may change rapidly. There may be coding mistakes, and the underlying protocols may contain design flaws. Please let us know immediately if you have discovered a security vulnerability.
Please also read the security note for go-ipfs.
Background
Go to the docs for more about the motivations behind Textile.
Install
This repo contains two service daemons with CLIs and a Buckets Library for building local-first apps and services.
The Hub
hubd
git clone https://github.com/textileio/textile
cd textile
go get ./cmd/hubd
hub
git clone https://github.com/textileio/textile
cd textile
go get ./cmd/hub
Note: hub
includes buck
as a subcommand: hub buck
. This is because hubd
hosts buckd
, along with other services.
hub
is built in part on the gRPC client, which can be imported to an existing project:
import "github.com/textileio/textile/v2/api/hub/client"
Buckets
buckd
git clone https://github.com/textileio/textile
cd textile
go get ./cmd/buckd
buck
git clone https://github.com/textileio/textile
cd textile
go get ./cmd/buck
buck
is built in part on the gRPC client, which can be imported in an existing project:
import "github.com/textileio/textile/v2/api/buckets/client"
The Buckets Library
import "github.com/textileio/textile/v2/buckets/local"
The full spec is available here.
Getting Started
The Hub
The Hub daemon (hubd
), a.k.a. The Hub, is a hosted wrapper around other Textile services that includes developer accounts for individuals and organizations. You are encouraged to run your own, and we strongly discourage the use of the hosted Textile Hub as it will soon be shutting down.
The layout of the hub
client CLI mirrors the services wrapped by hubd
:
hub threads
provides limited access to ThreadDB.
hub buck
provides access to Buckets (buckd
) by wrapping the standalone buck
CLI.
hub buck archive
provides limited access to The Hub's hosted Powergate instance, and the Filecoin network.
Try hub --help
for more usage.
The Hub Client.
Usage:
hub [command]
Available Commands:
billing Billing management
buck Manage an object storage bucket
destroy Destroy your account
fil Interact with Filecoin related commands.
help Help about any command
init Initialize account
keys API key management
login Login
logout Logout
orgs Org management
threads Thread management
update Update the hub CLI
version Show current version
whoami Show current user
Flags:
--api string API target (default "api.hub.textile.io:443")
-h, --help help for hub
--identity string User identity
--key string User API key
--newIdentity Generate a new user identity
-o, --org string Org username
--secret string User API secret
-s, --session string User session token
--token string User identity token
Use "hub [command] --help" for more information about a command.
Read more about The Hub, including how to create an account, in the docs.
Running Buckets
Much like threadsd
, the buckd
daemon can be run as a server or alongside desktop apps or command-line tools. The easiest way to run buckd
is by using the provided Docker Compose files. If you're new to Docker and/or Docker Compose, get started here. Once you are setup, you should have docker-compose
in your PATH
.
Create an .env
file and add the following values:
REPO_PATH=~/myrepo
BUCK_LOG_DEBUG=true
Copy this compose file and run it with the following command.
docker-compose -f docker-compose.yml up
Congrats! Now you have Buckets running locally.
The Docker Compose file starts an IPFS node, which is used to pin bucket files and folders. You could point buckd
to a different (possibly remote) IPFS node by setting the BUCK_ADDR_IPFS_API
variable to a different multiaddress.
By default, this approach does not start Powergate. If you do, be sure to set the BUCK_ADDR_POWERGATE_API
variable to the multiaddress of your Powergate. buckd
must be configured with Powergate to enable Filecoin archiving with buck archive
.
Creating a bucket
Since hub buck
and buck
are functionally identical, this section will focus on buck
and the Buckets Library using a locally running buckd
.
First off, take a look at buck --help
.
The Bucket Client.
Manages files and folders in an object storage bucket.
Usage:
buck [command]
Available Commands:
add Add a UnixFs DAG locally at path
archive Create a Filecoin archive
cat Cat bucket objects at path
decrypt Decrypt bucket objects at path with password
destroy Destroy bucket and all objects
encrypt Encrypt file with a password
help Help about any command
init Initialize a new or existing bucket
links Show links to where this bucket can be accessed
ls List top-level or nested bucket objects
pull Pull bucket object changes
push Push bucket object changes
root Show bucket root CIDs
status Show bucket object changes
watch Watch auto-pushes local changes to the remote
Flags:
--api string API target (default "127.0.0.1:3006")
-h, --help help for buck
Use "buck [command] --help" for more information about a command.
A Textile bucket functions a bit like an S3 bucket. It's a virtual filesystem where you can push, pull, list, and cat files. You can share them via web links or render the whole thing as a website or web app. They also function a bit like a Git repository. The point of entry is from a folder on your local machine that is synced to a remote.
To get started, initialize a new bucket.
mkdir mybucket && cd mybucket
buck init
When prompted, give your bucket a name and either opt-in or decline bucket encyption (see Creating a private bucket for more about bucket encryption).
You should now see two links for the new bucket on the locally running gateway.
> http://127.0.0.1:8006/thread/bafkq3ocmdkrljadlgybtvocytpdw4hbnzygxecxehdp7pfj32lxp34a/buckets/bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi Thread link
> http://127.0.0.1:8006/ipns/bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi IPNS link (propagation can be slow)
> Success! Initialized /path/to/mybucket as a new empty bucket
The first URL is the link to the ThreadDB instance. Internally, a collection named buckets
is created. Each new instance in this collection amounts to a new bucket. However, when you visit this link, you'll notice a custom file browser. This is because the gateway considers the built-in buckets
collection a special case. You can still view the raw ThreadDB instance by appending ?json=true
to the URL.
The second URL is the bucket's unique IPNS address, which is auto-updated when you add, modify, or delete files.
If you have configured the daemon with DNS settings, you will see a third URL that links to the bucket's WWW address, where it is rendered as a static website / client-side application. See buckd --help
for more info.
Important: If your bucket is private (encrypted), an access token (JWT) will be appended to these links. This token represents your identity across all buckets and should not be shared without caution.
buck init
created a configuration folder in mybucket
called .textile
. This folder is somewhat like a .git
folder, as it contains information about the bucket's remote address and local state.
.textile/config.yml
will look something like,
key: bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi
thread: bafkq3ocmdkrljadlgybtvocytpdw4hbnzygxecxehdp7pfj32lxp34a
Where key
is the bucket's unique key, and thread
is it's ThreadDB ID.
Additionally, .textile/repo
contains a repository describing the current file structure, which is used to stage changes against the remote.
Creating a private bucket
Bucket encryption (AES-CTR + AES-512 HMAC) happens entirely within the buckd
, meaning your data gets encrypted on the way in, and decrypted on the way out. This type of encryption has two goals:
- Obfuscate bucket data / files (the normal goal of encryption)
- Obfuscate directory structure, which amounts to encrypting IPLD nodes and their links.
As a result of these goals, we refer to encrypted buckets as private buckets. Read more about bucket encryption here.
To create a new private bucket, use the --private
flag with buck
init or respond y
when prompted.
In addition to bucket-level encryption, you can also protect a file with a password.
Adding files and folders to a bucket
Bucket files and folders are content-addressed by Cids. Check out the spec if you're unfamiliar with Cids.
buck
stages new files as additions:
echo "hello world" > hello.txt
buck status
> new file: hello.txt
buck status
is powered by DAG-based diffing. Much like git
, this allows buck to only push and pull changes. Read more about bucket diffing in the docs, or check out this in-depth blog post.
Use push
to sync the change.
buck push
+ hello.txt: bafkreifjjcie6lypi6ny7amxnfftagclbuxndqonfipmb64f2km2devei4
> bafybeihm4zrnrsdroazwsvk3i65ooqzdftaugdkjiedr6ocq65u3ap4wni
The output shows the Cid of the added file and the bucket's new root Cid.
push
will sync all types of file changes: Additions, modifications, and deletions.
Recreating an existing bucket
It's often useful to recreate a bucket from the remote. This is somewhat like re-cloning a Git repo. This can be done in a different location on the same machine, or, if buckd
has a public IP address, from a completely different machine.
Let's recreate the bucket from the previous step in a new directory outside of the original bucket.
mkdir mybucket2 && cd mybucket2
buck init --existing
The --existing
flag allows for interactively selecting an existing bucket to initialize from.
? Which exiting bucket do you want to init from?:
▸ MyBucket bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi
At this point, there's only one bucket to choose from.
Note: If buckd
was running inside The Hub (hubd
), you would be able to choose from buckets belonging to your Organizations and well as your individual Developer account by using the --org
flag. Read more about Hub Accounts and Organizations here.
> Selected bucket MyBucket
+ hello.txt: bafkreifjjcie6lypi6ny7amxnfftagclbuxndqonfipmb64f2km2devei4
+ .textileseed: bafkreifbdzttoqsch5j66hfmcbsic6qvwrikibgzfbg3tn7rc3j63ukk3u
> Your bucket links:
> http://127.0.0.1:8006/thread/bafkq3ocmdkrljadlgybtvocytpdw4hbnzygxecxehdp7pfj32lxp34a/buckets/bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi Thread link
> http://127.0.0.1:8006/ipns/bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi IPNS link (propagation can be slow)
> Success! Initialized /path/to/mybucket2 from an existing bucket
Just as before, the output shows the bucket's remote links. However, in this case init
also pulled down the content.
Note: .textileseed
is used to randomize a bucket's top level Cid and cannot be modified.
The --existing
flag is really just a helper that sets the --thread
and --key
flags, which match the config values we saw earlier. We could have used those flags directly to achieve the same result.
buck init --thread bafkq3ocmdkrljadlgybtvocytpdw4hbnzygxecxehdp7pfj32lxp34a --key bafzbeifyzfm3kosie25s5qthvvcjrr42ivd7doqhwvu5m4ks7uqv4j5lyi
Lastly, we could have just copied .textile/config.yml
to a new directory and used buck pull
to pull down the existing content.
Creating a bucket from an existing Cid
Sometimes it's useful to create a bucket from a UnixFS directory that is already on the IPFS network.
We can simulate this scenario by adding a local folder to IPFS and then using its root Cid to create a bucket with the --cid
flag. Here's a local directory.
.
├── a
│ ├── bar.txt
│ ├── foo.txt
│ └── one
│ ├── baz.txt
│ ├── buz.txt
│ └── two
│ ├── boo.txt
│ └── fuz.txt
├── b
│ ├── foo.txt
│ └── one
│ ├── baz.txt
│ ├── muz.txt
│ ├── three
│ │ └── far.txt
│ └── two
│ └── fuz.txt
└── c
├── one.jpg
└── two.jpg
Use the recursvie flag -r
with ipfs add
.
ipfs add -r .
added QmcDkcMJXZsNnExehsE1Yh6SRWucHa9ruVT82gpL83431W mydir/a/bar.txt
added QmYiUq2U6euWnKag23wFppG12hon4EBDswdoe4MwrKzDBn mydir/a/foo.txt
added QmXrd35ja3kknnmgj5kyDM74jfG8GLJJQGtRpEQpXCLTR3 mydir/a/one/baz.txt
added QmSWJvCzotB3CbdxVu8mBvmLqpSuEQgUoJHTFy1azRfwhT mydir/a/one/buz.txt
added QmT6h1eaBV74Sh75upE7ugFLkBnmyGr3WsQ8w8yx5NjgPV mydir/a/one/two/boo.txt
added QmTdg1b5eWEx4zJtrgvew1inkkZ29fp9mbQ4uHyKurW8Ub mydir/a/one/two/fuz.txt
added QmYiQAk1seXrmuQkpGE83AxJyNZDK1RNSaLyp3Z4r1zsrB mydir/b/foo.txt
added QmXrd35ja3kknnmgj5kyDM74jfG8GLJJQGtRpEQpXCLTR3 mydir/b/one/baz.txt
added QmSWJvCzotB3CbdxVu8mBvmLqpSuEQgUoJHTFy1azRfwhT mydir/b/one/muz.txt
added QmYs12A3CGSTHX4QrsvBe2AvLHEThrapXoTFQpyh8AzpFa mydir/b/one/three/far.txt
added QmTdg1b5eWEx4zJtrgvew1inkkZ29fp9mbQ4uHyKurW8Ub mydir/b/one/two/fuz.txt
added QmaLpwNPwftSQY3w4ZtMfZ8k38D5EgK2bcDuU4UwzREJpi mydir/c/one.jpg
added QmYLiWv2WXQd1m8YyHx4dMoj8B3Kuiuu7pCCoYibkqKyVj mydir/c/two.jpg
added QmT5YXeCfbMuVjanbHjQhECUQSACJLecfmjRBZHvmu5FDU mydir/a/one/two
added QmWh2Wx9Lec4wbEvFbsq4HmYjFmgUFtxNJ8wEVwXjhJ2uk mydir/a/one
added QmSujVHvG8Y3Jv21AbMFNQPphjyqNamh6cvdyXSD1jAtSZ mydir/a
added QmUGSorWDy2JiKYvQuJzEb4TnYDuDNLcdFyR6NhMwnwdvy mydir/b/one/three
added QmWvX7UVexbjXJtxKMyMSgGpPesFQD7teNTqUcDsP2mzW6 mydir/b/one/two
added QmPyMD67EgSZS1WpvgudHkxbA5zgjqmse8srPpFb9sVefT mydir/b/one
added QmQdAtg5NkwkvLtTbka3eci58UGj3m9AehC2sbksGSbjPZ mydir/b
added QmcjtVAF9PQfMKTc57vcvZeBrzww3TLxPcQfUQW7cXXLJL mydir/c
added QmcvkGF2t8Z94UqhdtdFRokGoqypbGyKkzRPVF4owmjVrE mydir
After adding the entire directory, we see the root Cid is QmcvkGF2t8Z94UqhdtdFRokGoqypbGyKkzRPVF4owmjVrE
. Let's create the bucket using this Cid.
buck init --cid QmcvkGF2t8Z94UqhdtdFRokGoqypbGyKkzRPVF4owmjVrE
The files behind the Cid will be pulled into the new bucket.
+ a/bar.txt: QmcDkcMJXZsNnExehsE1Yh6SRWucHa9ruVT82gpL83431W
+ a/foo.txt: QmYiUq2U6euWnKag23wFppG12hon4EBDswdoe4MwrKzDBn
+ a/one/two/fuz.txt: QmTdg1b5eWEx4zJtrgvew1inkkZ29fp9mbQ4uHyKurW8Ub
+ a/one/baz.txt: QmXrd35ja3kknnmgj5kyDM74jfG8GLJJQGtRpEQpXCLTR3
+ c/two.jpg: QmYLiWv2WXQd1m8YyHx4dMoj8B3Kuiuu7pCCoYibkqKyVj
+ b/foo.txt: QmYiQAk1seXrmuQkpGE83AxJyNZDK1RNSaLyp3Z4r1zsrB
+ a/one/buz.txt: QmSWJvCzotB3CbdxVu8mBvmLqpSuEQgUoJHTFy1azRfwhT
+ a/one/two/boo.txt: QmT6h1eaBV74Sh75upE7ugFLkBnmyGr3WsQ8w8yx5NjgPV
+ b/one/muz.txt: QmSWJvCzotB3CbdxVu8mBvmLqpSuEQgUoJHTFy1azRfwhT
+ b/one/three/far.txt: QmYs12A3CGSTHX4QrsvBe2AvLHEThrapXoTFQpyh8AzpFa
+ b/one/baz.txt: QmXrd35ja3kknnmgj5kyDM74jfG8GLJJQGtRpEQpXCLTR3
+ b/one/two/fuz.txt: QmTdg1b5eWEx4zJtrgvew1inkkZ29fp9mbQ4uHyKurW8Ub
+ c/one.jpg: QmaLpwNPwftSQY3w4ZtMfZ8k38D5EgK2bcDuU4UwzREJpi
> Your bucket links:
> http://127.0.0.1:8006/thread/bafk3k3itq2rsybcvhf6wuvumruw3j6cw7ixhrtx4ek45qgvp3e7u2xa/buckets/bafzbeiawo6ghgsqjlorii4wghdl4tzz54x2kiwtcgtaq7b3h5gta2yok2i Thread link
> http://127.0.0.1:8006/ipns/bafzbeiawo6ghgsqjlorii4wghdl4tzz54x2kiwtcgtaq7b3h5gta2yok2i IPNS link (propagation can be slow)
> Success! Initialized /path/to/mybucket3 as a new bootstrapped bucket
Currently, UnixFS in go-ipfs
uses Cid version 0, which is why we see all these old-style Cids started with Qm
. Of course, you can also use UnixFS directories that use Cid version 1.
Similar to initializing a new bucket from an existing Cid, buck add
allows you to add and/or merge in an existing UnixFS directory to an existing bucket. Like adding new files locally, this works by pulling down the UnixFS content from the IPFS network into the local bucket. Sync the changes with buck push
as normal.
Pulling an existing UnixFS directory into a new or existing private bucket is also possible. Just opt-in to encryption during initialization as normal. buckd
will recursively encrypt (without duplicating) the Cid's IPLD file and directory nodes as they are pulled into the new bucket.
Exploring bucket contents
Use buck ls [path]
to explore bucket contents. Omitting [path]
will list the top-level directory.
buck ls
NAME SIZE DIR OBJECTS CID
.textileseed 32 false n/a bafkreiezexkrnk7yew6glm6sulhur66bbecc2aeaitf7uz4ymmp442lepu
a 3726 true 3 QmSujVHvG8Y3Jv21AbMFNQPphjyqNamh6cvdyXSD1jAtSZ
b 3191 true 2 QmQdAtg5NkwkvLtTbka3eci58UGj3m9AehC2sbksGSbjPZ
c 1537626 true 2 QmcjtVAF9PQfMKTc57vcvZeBrzww3TLxPcQfUQW7cXXLJL
Use [path]
to drill into directories, e.g.,
buck ls a
NAME SIZE DIR OBJECTS CID
bar.txt 517 false n/a QmcDkcMJXZsNnExehsE1Yh6SRWucHa9ruVT82gpL83431W
foo.txt 557 false n/a QmYiUq2U6euWnKag23wFppG12hon4EBDswdoe4MwrKzDBn
one 2502 true 3 QmWh2Wx9Lec4wbEvFbsq4HmYjFmgUFtxNJ8wEVwXjhJ2uk
buck cat
functions a lot like ls
, but cats file contents to stdout.
Resetting bucket contents
Similar to a git reset --hard
, you can use buck pull --hard
to discard local changes that have not been pushed.
Continuing with the bucket above, add, modify, and/or delete some files. buck status
should show your staged changes.
buck status
> modified: a/bar.txt
> deleted: a/one/baz.txt
> new file: b/one/three/car.txt
> deleted: b/foo.txt
Normally, buck pull
will move your local changes to temporary .buckpatch
files, apply the remote / upstream changes, then reapply your local changes. However, the --hard
flag will prune all local changes, resetting the local bucket contents to match the remote exactly.
buck pull --hard
+ a/one/baz.txt: QmXrd35ja3kknnmgj5kyDM74jfG8GLJJQGtRpEQpXCLTR3
+ b/foo.txt: QmYiQAk1seXrmuQkpGE83AxJyNZDK1RNSaLyp3Z4r1zsrB
+ a/bar.txt: QmcDkcMJXZsNnExehsE1Yh6SRWucHa9ruVT82gpL83431W
- b/one/three/car.txt
> QmTz6HoC18QQqAEtYhfLc4Fse3LPbSCKV8vouvE88MKjFj
Now buck status
will report > Everything up-to-date
.
Try buck pull --help
for more options when pulling the remote.
Watching a bucket for changes
So far we've seen how a bucket can change locally, but the remote can also change. This could happen for a couple reasons:
- Changes are pushed from a different bucket copy against the same
buckd
.
- Changes are pushed from a different
buckd
at the ThreadDB layer. This is known as a multi-writer scenario. See Multi-writer buckets for more.
In either case, it is possible to listen for and apply the remote changes using buck watch
. This will also watch for local changes and auto-push them to the remote. In this way, multiple copies of the same bucket can be kept in sync.
watch
will block until it's cancelled with a Ctrl-C.
buck watch
> Success! Watching /path/to/mybucket for changes...
watch
will survive network interruptions, reconnecting when possible.
> Not connected. Trying to connect...
> Not connected. Trying to connect...
> Not connected. Trying to connect...
> Success! Watching /path/to/mybucket for changes...
While watch
is active, file and folders dropped into the bucket will be automatically pushed.
Protecting a file with a password
Private buckets handle encryption entirely within buckd
, but you can use an additional client-side encryption layer with buck encrypt
to password protect files. This encryption is also AES-CTR + AES-512 HMAC, which means you can efficiently encrypt large file streams. However, unlike bucket-wide encryption in private buckets, client-side encryption is only available for files, not IPLD directory nodes.
Let's create an encrypted version of the hello.txt
file.
buck encrypt hello.txt supersecret > secret.txt
encrypt
writes to stdout. So, here we redirect the output to a new file called secret.txt
. scrypt is used to derive the AES and HMAC keys from a password. This carries the normal tradeoff: The encryption is only as good as the password. Also, as with all client-side encryption, you must also store or otherwise remember the password!
encrypt
only works on local files. You'll have to use push
to sync the new file to the remote.
buck push --yes
+ secret.txt: bafkreiayymufgaut3wrfbzfdxiacxn64mxijj54g2osyk7qnco54iftovi
> bafybeidhffwg5ucwktn7iwyvnkhxpz7b2yrh643bo74cjvsbquzpdgpcd4
decrypt
, on the other hand, works on remote files. So, after pushing secret.txt
, we can decrypt it (if we can remember the password) and write the plaintext to stdout.
buck decrypt secret.txt supersecret
hello world
Looks like it worked!
Sharing bucket files and folders
Bucket contents can be shared with other Hub accounts and users using the buck roles
command. Each file and folder in a bucket maintains a set of public-key based access roles: None
, Reader
, Writer
, and Admin
. Only the Admin
role can add and remove files and folders from a shared path. See hub buck roles grant --help
for more about each role. For most applications, access roles only makes sense in the context of the Hub.
By default, public buckets have two roles located at the top-level path:
hub buck roles ls
IDENTITY ROLE
* Reader
bbaareibzpb44ahd7oieqevvlqajidd4jajcvx2vdvti6bpw5wkqolwwerm Admin
> Found 2 access roles
Since access roles are inherited down a bucket path, the single admin role grants the owner full access to all current and future files and folders. The default (*
) Read
role indicates that the entire bucket is open to the world. This is merely a reflection of the fact that the underlying UnixFS directory behind public (non-encrypted) buckets are discoverable on the IPFS Network.
Private buckets are not open to the world and are created with only the single admin role. However, we can still grant default (*
) Read
access to individual files, folders, or the entire bucket posteriori.
hub buck roles grant "*" myfolder
Use the arrow keys to navigate: ↓ ↑ → ←
? Select a role:
None
▸ Reader
Writer
Admin
We can now see a new role added to myfolder
.
hub buck roles ls myfolder
IDENTITY ROLE
* Reader
> Found 1 access roles
Similarly, grant the None
role to revoke access.
Manipulating access roles for a single Hub account or user (public key) can be cumbersome with the buck
CLI. Applications in need of this level of granular access control should do so programmatically using the Go client, JavaScript client.
Creating a Filecoin bucket archive
Bucket archiving requires a Powergate to be running in buckd
. If you're curious how to do this, take a look at this Docker Compose file.
Let's try archiving the bucket from the Creating a bucket section.
buck archive
> Warning! Archives are Filecoin Mainnet. Use with caution.
? Proceed? [y/N]
Please take note of the warning. Archiving should be considered experimental since Filecoin mainnet
has not yet launched, and Powergate will either be running a localnet
or mainnet
.
You should see a success message if you proceed.
> Success! Archive queued successfully
This means that archiving has been initiated. It may take some time to complete...
buck archive status
> Archive is currently executing, grab a coffee and be patient...
Use the archive status
command with -w
to watch the progress of your archive as it moves through the Filecoin market deal stages.
buck archive status -w
> Archive is currently executing, grab a coffee and be patient...
> Pushing new configuration...
> Configuration saved successfully
> Executing job 1006707f-efa8-48c2-98af-a1b320a59780...
> Ensuring Hot-Storage satisfies the configuration...
> No actions needed in Hot Storage.
> Hot-Storage execution ran successfully.
> Ensuring Cold-Storage satisfies the configuration...
> Current replication factor is lower than desired, making 10 new deals...
> Calculating piece size...
> Estimated piece size is 256 bytes.
> Proposing deal to miner t01459 with 0 fil per epoch...
> Proposing deal to miner t0117734 with 500000000 fil per epoch...
> Proposing deal to miner t0120993 with 500000000 fil per epoch...
> Proposing deal to miner t0120642 with 500000000 fil per epoch...
> Proposing deal to miner t0121477 with 500000000 fil per epoch...
> Proposing deal to miner t0119390 with 500000000 fil per epoch...
> Proposing deal to miner t0101180 with 10000000 fil per epoch...
> Proposing deal to miner t0117803 with 500000000 fil per epoch...
> Proposing deal to miner t0121852 with 500000000 fil per epoch...
> Proposing deal to miner t0119822 with 500000000 fil per epoch...
> Watching deals unfold...
> Deal with miner t0117803 changed state to StorageDealClientFunding
> Deal with miner t0121852 changed state to StorageDealClientFunding
> Deal with miner t0121477 changed state to StorageDealClientFunding
> Deal with miner t0101180 changed state to StorageDealClientFunding
> Deal with miner t0119822 changed state to StorageDealClientFunding
> Deal with miner t0119390 changed state to StorageDealClientFunding
> Deal with miner t0120642 changed state to StorageDealClientFunding
> Deal with miner t0117734 changed state to StorageDealClientFunding
> Deal with miner t01459 changed state to StorageDealClientFunding
> Deal with miner t0120993 changed state to StorageDealClientFunding
> Deal with miner t0121477 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0119822 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0117734 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0121852 changed state to StorageDealWaitingForDataRequest
> Deal with miner t01459 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0120642 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0120993 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0117803 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0101180 changed state to StorageDealWaitingForDataRequest
> Deal with miner t0119390 changed state to StorageDealWaitingForDataRequest
> Deal with miner t01459 changed state to StorageDealProposalAccepted
> Deal with miner t01459 changed state to StorageDealSealing
The output will look something like the above. With a little luck, you will start seeing some successful storage deals.
Bucket archiving allows you to leverage the purely decentralized nature of Filecoin in your buckets. Check out this video from a blog post demonstrating Filecoin bucket recovery using the Lotus client.
Multi-writer buckets
Multi-writer buckets leverage the distributed nature of ThreadDB by allowing multiple identities to write to the same bucket hosted by different Libp2p hosts. Since buckets are ThreadDB collection instances, this is no different than normal ThreadDB peer collaboration.
To-do: Demonstrate joining a bucket from a ThreadDB invite.
Deleting a bucket
Deleting a bucket is easy... and permanent! buck destroy
will delete your local bucket as well as the remote, making it unrecoverable with buck init --existing
.
Using the Buckets Library
The buckets/local
library powers both the buck
and hub buck
CLIs. Everything possible in buck
, from bucket diffing, pushing, pulling, watching, archiving, etc., is available to you in existing projects by importing the Buckets Library.
go get github.com/textileio/textile/v2/buckets/local
Visit the GoDoc for a complete list of methods and more usage descriptions.
Creating a bucket
Create a new bucket by constructing a configuration object. Only Path
is required.
// Setup the buckets lib
buckets := local.NewBuckets(cmd.NewClients("api.textile.io:443", false), local.DefaultConfConfig())
// Create a new bucket with config
mybuck, err := buckets.NewBucket(context.Background(), local.Config{
Path: "path/to/bucket/folder"
})
// Check current status
diff, err := mybuck.DiffLocal() // diff contains staged changes
buckets.NewBucket
will write a local config file and data repo.
See local.WithName
, local.WithStrategy
, local.WithPrivate
, local.WithCid
, local.WithInitPathEvents
for more options when creating buckets.
To create a bucket from an existing remote, use its thread ID and instance ID (bucket key
) in the config.
Getting an existing bucket
GetLocalBucket
returns the bucket at path.
mybuck, err := buckets.GetLocalBucket(context.Background(), "path/to/bucket/folder")
Pushing local files
PushLocal
pushes all staged changes to the remote and returns the new local and remote root Cids. These roots will only be different if the bucket is private (the remote is encrypted).
newRoots, err := mybuck.PushLocal()
See local.PathOption
for more options when pushing.
Pulling remote changes
PullRemote
pulls all remote changes locally and returns the new root Cids.
newRoots, err := mybuck.PullRemote()
See local.PathOption
for more options when pulling.
Using the Mail Library
The mail/local
library provides mechanisms for sending and receiving messages between Hub users. Mailboxes are built on ThreadDB.
go get github.com/textileio/textile/v2/mail/local
Visit the GoDoc for a complete list of methods and more usage descriptions.
Creating a mailbox
Like creating a bucket, create a new mailbox by constructing a configuration object. All fields are required.
// Setup the mail lib
mail := local.NewMail(cmd.NewClients("api.textile.io:443", true), local.DefaultConfConfig())
// Create a libp2p identity (this can be any thread.Identity)
privKey, _, err := crypto.GenerateEd25519Key(rand.Reader)
id := thread.NewLibp2pIdentity(privKey)
// Create a new mailbox with config
mailbox, err := mail.NewMailbox(context.Background(), local.Config{
Path: "path/to/mail/folder", // Usually a global location like ~/.textile/mail
Identity: id,
APIKey: <API_SECRET>,
APISecret: <API_KEY>,
})
APIKey
and APISecret
are User Group API Keys. Read more about creating API Keys.
To recreate a user's mailbox, specify the same identity and API Key in the config.
Getting an existing mailbox
GetLocalMailbox
returns the mailbox at path.
mailbox, err := mail.GetLocalMailbox(context.Background(), "path/to/mailbox/folder")
Sending a message
When a mailbox sends a message to another mailbox, the message is encrypted for the recipient's inbox and for the senders sentbox. This allows both parties to control the message's lifecycle.
// Create two mailboxes (for most applications, this would not happen on the same machine)
box1, err := mail.NewMailbox(context.Background(), local.Config{...})
box2, err := mail.NewMailbox(context.Background(), local.Config{...})
// Send a message from the first mailbox to the second
message, err := box1.SendMessage(context.Background(), box2.Identity().GetPublic(), []byte("howdy"))
// List the recipient's inbox
inbox, err := box2.ListInboxMessages(context.Background())
// Open decrypts the message body
body, err := inbox[0].Open(context.Background(), box2.Identity())
// Mark the message as read
err = box2.ReadInboxMessage(context.Background(), inbox[0].ID)
Watching for new messages
Applications may watch for mailbox events in the inbox and/or sentbox.
// Handle mailbox events as they arrive
events := make(chan MailboxEvent)
defer close(events)
go func() {
for e := range events {
switch e.Type {
case NewMessage:
// handle new message
case MessageRead:
// handle message read (inbox only)
case MessageDeleted:
// handle message deleted
}
}
}()
// Start watching (the third param indicates we want to keep watching when offline)
state, err := mailbox.WatchInbox(context.Background(), events, true)
for s := range state {
// handle connectivity state
}
Similarly, use WatchSentbox
to watch a sentbox.
Developing
The easiest way to develop against hubd
or buckd
is to use the Docker Compose files found in cmd
. The -dev
flavored files do not persist repos via Docker Volumes, which may be desirable in some cases.
Contributing
Pull requests and bug reports are very welcome ❤️
This repository falls under the Textile Code of Conduct.
Feel free to get in touch by:
Changelog
A changelog is published along with each release.
License
MIT