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## LBRY Hub ## LBRY Hub
This repo provides a python library, `hub`, for building services that use the processed data from the [LBRY blockchain](https://github.com/lbryio/lbrycrd) in an ongoing manner. Hub contains a set of three core executable services that are used together: This repo provides a python library, `hub`, for building services that use the processed data from the [LBRY blockchain](https://github.com/lbryio/lbrycrd) in an ongoing manner. Hub contains a set of three core executable services that are used together:
* `scribe` ([hub.scribe.service](https://github.com/lbryio/lbry-hub/tree/master/hub/service.py)) - maintains a [rocksdb](https://github.com/lbryio/lbry-rocksdb) database containing the LBRY blockchain. * `scribe` ([hub.scribe.service](https://github.com/lbryio/hub/tree/master/hub/service.py)) - maintains a [rocksdb](https://github.com/lbryio/lbry-rocksdb) database containing the LBRY blockchain.
* `herald` ([hub.herald.service](https://github.com/lbryio/lbry-hub/tree/master/hub/herald/service.py)) - an electrum server for thin-wallet clients (such as [lbry-sdk](https://github.com/lbryio/lbry-sdk)), provides an api for clients to use thin simple-payment-verification (spv) wallets and to resolve and search claims published to the LBRY blockchain. * `herald` ([hub.herald.service](https://github.com/lbryio/hub/tree/master/hub/herald/service.py)) - an electrum server for thin-wallet clients (such as [lbry-sdk](https://github.com/lbryio/lbry-sdk)), provides an api for clients to use thin simple-payment-verification (spv) wallets and to resolve and search claims published to the LBRY blockchain.
* `scribe-elastic-sync` ([hub.elastic_sync.service](https://github.com/lbryio/lbry-hub/tree/master/hub/elastic_sync/service.py)) - a utility to maintain an elasticsearch database of metadata for claims in the LBRY blockchain * `scribe-elastic-sync` ([hub.elastic_sync.service](https://github.com/lbryio/hub/tree/master/hub/elastic_sync/service.py)) - a utility to maintain an elasticsearch database of metadata for claims in the LBRY blockchain
Features and overview of `hub` as a python library: Features and overview of `hub` as a python library:
* Uses Python 3.7-3.9 (3.10 probably works but hasn't yet been tested) * Uses Python 3.7-3.9 (3.10 probably works but hasn't yet been tested)
* An interface developers may implement in order to build their own applications able to receive up-to-date blockchain data in an ongoing manner ([hub.service.BlockchainReaderService](https://github.com/lbryio/lbry-hub/tree/master/hub/service.py)) * An interface developers may implement in order to build their own applications able to receive up-to-date blockchain data in an ongoing manner ([hub.service.BlockchainReaderService](https://github.com/lbryio/hub/tree/master/hub/service.py))
* Protobuf schema for encoding and decoding metadata stored on the blockchain ([hub.schema](https://github.com/lbryio/lbry-hub/tree/master/hub/schema)) * Protobuf schema for encoding and decoding metadata stored on the blockchain ([hub.schema](https://github.com/lbryio/hub/tree/master/hub/schema))
* [Rocksdb 6.25.3](https://github.com/lbryio/lbry-rocksdb/) based database containing the blockchain data ([hub.db](https://github.com/lbryio/lbry-hub/tree/master/hub/db)) * [Rocksdb 6.25.3](https://github.com/lbryio/lbry-rocksdb/) based database containing the blockchain data ([hub.db](https://github.com/lbryio/hub/tree/master/hub/db))
* [A community driven performant trending algorithm](https://raw.githubusercontent.com/lbryio/lbry-hub/master/docs/trending%20algorithm.pdf) for searching claims ([code](https://github.com/lbryio/lbry-hub/blob/master/hub/elastic_sync/fast_ar_trending.py)) * [A community driven performant trending algorithm](https://raw.githubusercontent.com/lbryio/hub/master/docs/trending%20algorithm.pdf) for searching claims ([code](https://github.com/lbryio/hub/blob/master/hub/elastic_sync/fast_ar_trending.py))
## Installation ## Installation
Scribe may be run from source, a binary, or a docker image. Scribe may be run from source, a binary, or a docker image.
Our [releases page](https://github.com/lbryio/lbry-hub/releases) contains pre-built binaries of the latest release, pre-releases, and past releases for macOS and Debian-based Linux. Our [releases page](https://github.com/lbryio/hub/releases) contains pre-built binaries of the latest release, pre-releases, and past releases for macOS and Debian-based Linux.
Prebuilt [docker images](https://hub.docker.com/r/lbry/lbry-hub/latest-release) are also available. Prebuilt [docker images](https://hub.docker.com/r/lbry/hub/latest-release) are also available.
### Prebuilt docker image ### Prebuilt docker image
`docker pull lbry/lbry-hub:latest-release` `docker pull lbry/hub:latest-release`
### Build your own docker image ### Build your own docker image
``` ```
git clone https://github.com/lbryio/lbry-hub.git git clone https://github.com/lbryio/hub.git
cd lbry-hub cd hub
docker build -t lbry/lbry-hub:development . docker build -t lbry/hub:development .
``` ```
### Install from source ### Install from source
@ -36,16 +36,16 @@ Scribe has been tested with python 3.7-3.9. Higher versions probably work but ha
1. clone the scribe repo 1. clone the scribe repo
``` ```
git clone https://github.com/lbryio/lbry-hub.git git clone https://github.com/lbryio/hub.git
cd lbry-hub cd hub
``` ```
2. make a virtual env 2. make a virtual env
``` ```
python3.9 -m venv lbry-hub-venv python3.9 -m venv hub-venv
``` ```
3. from the virtual env, install scribe 3. from the virtual env, install scribe
``` ```
source lbry-hub-venv/bin/activate source hub-venv/bin/activate
pip install -e . pip install -e .
``` ```
@ -64,9 +64,9 @@ With options for high performance, if you have 64gb of memory and 12 cores, ever
As of block 1147423 (4/21/22) the size of the scribe rocksdb database is 120GB and the size of the elasticsearch volume is 63GB. As of block 1147423 (4/21/22) the size of the scribe rocksdb database is 120GB and the size of the elasticsearch volume is 63GB.
### docker-compose ### docker-compose
The recommended way to run a scribe hub is with docker. See [this guide](https://github.com/lbryio/lbry-hub/blob/master/docs/cluster_guide.md) for instructions. The recommended way to run a scribe hub is with docker. See [this guide](https://github.com/lbryio/hub/blob/master/docs/cluster_guide.md) for instructions.
If you have the resources to run all of the services on one machine (at least 300gb of fast storage, preferably nvme, 64gb of RAM, 12 fast cores), see [this](https://github.com/lbryio/lbry-hub/blob/master/docs/docker_examples/docker-compose.yml) docker-compose example. If you have the resources to run all of the services on one machine (at least 300gb of fast storage, preferably nvme, 64gb of RAM, 12 fast cores), see [this](https://github.com/lbryio/hub/blob/master/docs/docker_examples/docker-compose.yml) docker-compose example.
### From source ### From source
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#### Content blocking and filtering #### Content blocking and filtering
For various reasons it may be desirable to block or filtering content from claim search and resolve results, [here](https://github.com/lbryio/lbry-hub/blob/master/docs/blocking.md) are instructions for how to configure and use this feature as well as information about the recommended defaults. For various reasons it may be desirable to block or filtering content from claim search and resolve results, [here](https://github.com/lbryio/hub/blob/master/docs/blocking.md) are instructions for how to configure and use this feature as well as information about the recommended defaults.
#### Common options across `scribe`, `herald`, and `scribe-elastic-sync`: #### Common options across `scribe`, `herald`, and `scribe-elastic-sync`:
- `--db_dir` (required) Path of the directory containing lbry-rocksdb, set from the environment with `DB_DIRECTORY` - `--db_dir` (required) Path of the directory containing lbry-rocksdb, set from the environment with `DB_DIRECTORY`