Fix docker paths

Worker upgrade reloaded

.dockerignore

@@ -1,3 +1,10 @@
+.git
 hf_home
-inputs
 outputs
+.python-version
+.pytest-cache
+**/__pycache__
+*.egg-info
+**/*.key
+**/*.cert
+.venv

.gitignore

@@ -1,5 +1,13 @@
+skynet.toml
 .python-version
 hf_home
 outputs
+secrets
 **/__pycache__
 *.egg-info
+**/*.key
+**/*.cert
+docs
+ipfs-docker-data
+ipfs-staging
+weights

Dockerfile.runtime

@@ -1,13 +0,0 @@
-from python:3.10.0
-
-env DEBIAN_FRONTEND=noninteractive
-
-workdir /skynet
-
-copy requirements.* ./
-
-run pip install \
-    -r requirements.txt \
-    -r requirements.test.txt
-
-workdir /scripts

Dockerfile.runtime-cuda

@@ -1,23 +0,0 @@
-from nvidia/cuda:11.7.0-devel-ubuntu20.04
-from python:3.10.0
-
-env DEBIAN_FRONTEND=noninteractive
-
-workdir /skynet
-
-copy requirements.* .
-
-run pip install -U pip ninja
-run pip install -r requirements.cuda.0.txt
-run pip install -v -r requirements.cuda.1.txt
-
-run pip install \
-    -r requirements.txt \
-    -r requirements.test.txt
-
-env NVIDIA_VISIBLE_DEVICES=all
-env HF_HOME /hf_home
-
-env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
-
-workdir /scripts

LICENSE

@@ -1,11 +1,662 @@
-A menos que sea especificamente indicado en el cabezal del archivo, se reservan
-todos los derechos sobre este codigo por parte de:
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
 
-Guillermo Rodriguez, guillermor@fing.edu.uy
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
 
-ENGLISH LICENSE:
+                            Preamble
 
-Unless specifically indicated in the file header, all rights to this code are
-reserved by:
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+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
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+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program 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 Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.
 
-Guillermo Rodriguez, guillermor@.edu.uy

README.md

@@ -1,47 +1,104 @@
-create db in postgres:
+# skynet
+<div align="center">
+    <img src="https://explorer.skygpu.net/v2/explore/assets/logo.png" width=512 height=512>
+</div>
 
-```sql
-CREATE USER skynet WITH PASSWORD 'password';
-CREATE DATABASE skynet_art_bot;
-GRANT ALL PRIVILEGES ON DATABASE skynet_art_bot TO skynet;
+## decentralized compute platform
 
-CREATE SCHEMA IF NOT EXISTS skynet;
+### native install
 
-CREATE TABLE IF NOT EXISTS skynet.user(
-   id SERIAL PRIMARY KEY NOT NULL,
-   tg_id INT,
-   wp_id VARCHAR(128),
-   mx_id VARCHAR(128),
-   ig_id VARCHAR(128),
-   generated INT NOT NULL,
-   joined DATE NOT NULL,
-   last_prompt TEXT,
-   role VARCHAR(128) NOT NULL
-);
-ALTER TABLE skynet.user
-    ADD CONSTRAINT tg_unique
-    UNIQUE (tg_id);
-ALTER TABLE skynet.user
-    ADD CONSTRAINT wp_unique
-    UNIQUE (wp_id);
-ALTER TABLE skynet.user
-    ADD CONSTRAINT mx_unique
-    UNIQUE (mx_id);
-ALTER TABLE skynet.user
-    ADD CONSTRAINT ig_unique
-    UNIQUE (ig_id);
+system dependencies:
+- `cuda` 11.8
+- `llvm` 10
+- `python` 3.10+
+- `docker` (for ipfs node)
 
-CREATE TABLE IF NOT EXISTS skynet.user_config(
-    id SERIAL NOT NULL,
-    algo VARCHAR(128) NOT NULL,
-    step INT NOT NULL,
-    width INT NOT NULL,
-    height INT NOT NULL,
-    seed INT,
-    guidance INT NOT NULL,
-    upscaler VARCHAR(128)
-);
-ALTER TABLE skynet.user_config
-    ADD FOREIGN KEY(id)
-    REFERENCES skynet.user(id);
+```
+# create and edit config from template
+cp skynet.toml.example skynet.toml
+
+# install poetry package manager
+curl -sSL https://install.python-poetry.org | python3 -
+
+# install
+poetry install
+
+# enable environment
+poetry shell
+
+# test you can run this command
+skynet --help
+
+# launch ipfs node
+skynet run ipfs
+
+# to launch worker
+skynet run dgpu
+
+```
+
+### dockerized install
+
+## frontend
+
+system dependencies:
+- `docker`
+
+```
+# create and edit config from template
+cp skynet.toml.example skynet.toml
+
+# pull runtime container
+docker pull guilledk/skynet:runtime-frontend
+
+# run telegram bot
+docker run \
+    -it \
+    --rm \
+    --network host \
+    --name skynet-telegram \
+    --mount type=bind,source="$(pwd)",target=/root/target \
+    guilledk/skynet:runtime-frontend \
+    skynet run telegram --db-pass PASSWORD --db-user USER --db-host HOST
+```
+
+## worker
+
+system dependencies:
+- `docker` with gpu enabled
+
+```
+# create and edit config from template
+cp skynet.toml.example skynet.toml
+
+# pull runtime container
+docker pull guilledk/skynet:runtime-cuda
+
+# or build it (takes a bit of time)
+./build_docker.sh
+
+# launch simple ipfs node
+./launch_ipfs.sh
+
+# run worker with all gpus
+docker run \
+    -it \
+    --rm \
+    --gpus all \
+    --network host \
+    --name skynet-worker \
+    --mount type=bind,source="$(pwd)",target=/root/target \
+    guilledk/skynet:runtime-cuda \
+    skynet run dgpu
+
+# run worker with specific gpu
+docker run \
+    -it \
+    --rm \
+    --gpus '"device=1"' \
+    --network host \
+    --name skynet-worker-1 \
+    --mount type=bind,source="$(pwd)",target=/root/target \
+    guilledk/skynet:runtime-cuda \
+    skynet run dgpu
 ```

build_docker.sh

@@ -1,7 +0,0 @@
-docker build \
-    -t skynet:runtime-cuda \
-    -f Dockerfile.runtime-cuda .
-
-docker build \
-    -t skynet:runtime \
-    -f Dockerfile.runtime .

docker/Dockerfile.runtime

@@ -0,0 +1,25 @@
+from python:3.11
+
+env DEBIAN_FRONTEND=noninteractive
+
+run apt-get update && apt-get install -y \
+    git
+
+run curl -sSL https://install.python-poetry.org | python3 -
+
+env PATH "/root/.local/bin:$PATH"
+
+copy . /skynet
+
+workdir /skynet
+
+env POETRY_VIRTUALENVS_PATH /skynet/.venv
+
+run poetry install
+
+workdir /root/target
+
+copy docker/entrypoint.sh /entrypoint.sh
+entrypoint ["/entrypoint.sh"]
+
+cmd ["skynet", "--help"]

docker/Dockerfile.runtime+cuda-py310

@@ -0,0 +1,46 @@
+from nvidia/cuda:11.8.0-devel-ubuntu20.04
+from python:3.10
+
+env DEBIAN_FRONTEND=noninteractive
+
+run apt-get update && apt-get install -y \
+    git \
+    clang \
+    cmake \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    ninja-build
+
+env CC /usr/bin/clang
+env CXX /usr/bin/clang++
+
+# install llvm10 as required by llvm-lite
+run git clone https://github.com/llvm/llvm-project.git -b llvmorg-10.0.1
+workdir /llvm-project
+# this adds a commit from 12.0.0 that fixes build on newer compilers
+run git cherry-pick -n b498303066a63a203d24f739b2d2e0e56dca70d1
+run cmake -S llvm -B build -G Ninja -DCMAKE_BUILD_TYPE=Release
+run ninja -C build install  # -j8
+
+run curl -sSL https://install.python-poetry.org | python3 -
+
+env PATH "/root/.local/bin:$PATH"
+
+copy . /skynet
+
+workdir /skynet
+
+env POETRY_VIRTUALENVS_PATH /skynet/.venv
+
+run poetry install --with=cuda -v
+
+workdir /root/target
+
+env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
+env NVIDIA_VISIBLE_DEVICES=all
+
+copy docker/entrypoint.sh /entrypoint.sh
+entrypoint ["/entrypoint.sh"]
+
+cmd ["skynet", "--help"]

docker/Dockerfile.runtime+cuda-py311

@@ -0,0 +1,46 @@
+from nvidia/cuda:11.8.0-devel-ubuntu20.04
+from python:3.11
+
+env DEBIAN_FRONTEND=noninteractive
+
+run apt-get update && apt-get install -y \
+    git \
+    clang \
+    cmake \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    ninja-build
+
+env CC /usr/bin/clang
+env CXX /usr/bin/clang++
+
+# install llvm10 as required by llvm-lite
+run git clone https://github.com/llvm/llvm-project.git -b llvmorg-10.0.1
+workdir /llvm-project
+# this adds a commit from 12.0.0 that fixes build on newer compilers
+run git cherry-pick -n b498303066a63a203d24f739b2d2e0e56dca70d1
+run cmake -S llvm -B build -G Ninja -DCMAKE_BUILD_TYPE=Release
+run ninja -C build install  # -j8
+
+run curl -sSL https://install.python-poetry.org | python3 -
+
+env PATH "/root/.local/bin:$PATH"
+
+copy . /skynet
+
+workdir /skynet
+
+env POETRY_VIRTUALENVS_PATH /skynet/.venv
+
+run poetry install --with=cuda -v
+
+workdir /root/target
+
+env PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:128
+env NVIDIA_VISIBLE_DEVICES=all
+
+copy docker/entrypoint.sh /entrypoint.sh
+entrypoint ["/entrypoint.sh"]
+
+cmd ["skynet", "--help"]

docker/Dockerfile.runtime+frontend

@@ -0,0 +1,25 @@
+from python:3.11
+
+env DEBIAN_FRONTEND=noninteractive
+
+run apt-get update && apt-get install -y \
+    git
+
+run curl -sSL https://install.python-poetry.org | python3 -
+
+env PATH "/root/.local/bin:$PATH"
+
+copy . /skynet
+
+workdir /skynet
+
+env POETRY_VIRTUALENVS_PATH /skynet/.venv
+
+run poetry install --with=frontend -v
+
+workdir /root/target
+
+copy docker/entrypoint.sh /entrypoint.sh
+entrypoint ["/entrypoint.sh"]
+
+cmd ["skynet", "--help"]

docker/build_docker.sh

@@ -0,0 +1,20 @@
+
+docker build \
+    -t guilledk/skynet:runtime \
+    -f docker/Dockerfile.runtime .
+
+docker build \
+    -t guilledk/skynet:runtime-frontend \
+    -f docker/Dockerfile.runtime+frontend .
+
+docker build \
+    -t guilledk/skynet:runtime-cuda-py311 \
+    -f docker/Dockerfile.runtime+cuda-py311 .
+
+docker build \
+    -t guilledk/skynet:runtime-cuda \
+    -f docker/Dockerfile.runtime+cuda-py311 .
+
+docker build \
+    -t guilledk/skynet:runtime-cuda-py310 \
+    -f docker/Dockerfile.runtime+cuda-py310 .

docker/entrypoint.sh

@@ -0,0 +1,8 @@
+#!/bin/sh
+
+export VIRTUAL_ENV='/skynet/.venv'
+poetry env use $VIRTUAL_ENV/bin/python
+
+poetry install
+
+exec poetry run "$@"

docker/push_docker.sh

@@ -0,0 +1,5 @@
+docker push guilledk/skynet:runtime
+docker push guilledk/skynet:runtime-frontend
+docker push guilledk/skynet:runtime-cuda
+docker push guilledk/skynet:runtime-cuda-py311
+docker push guilledk/skynet:runtime-cuda-py310

launch_ipfs.sh

@@ -0,0 +1,36 @@
+#!/bin/bash
+
+name='skynet-ipfs'
+peers=("$@")
+
+data_dir="$(pwd)/ipfs-docker-data"
+data_target='/data/ipfs'
+
+# Create data directory if it doesn't exist
+mkdir -p "$data_dir"
+
+# Run the container
+docker run -d \
+  --name "$name" \
+  -p 8080:8080/tcp \
+  -p 4001:4001/tcp \
+  -p 127.0.0.1:5001:5001/tcp \
+  --mount type=bind,source="$data_dir",target="$data_target" \
+  --rm \
+  ipfs/go-ipfs:latest
+
+# Change ownership
+docker exec "$name" chown 1000:1000 -R "$data_target"
+
+# Wait for Daemon to be ready
+while read -r log; do
+  echo "$log"
+  if [[ "$log" == *"Daemon is ready"* ]]; then
+    break
+  fi
+done < <(docker logs -f "$name")
+
+# Connect to peers
+for peer in "${peers[@]}"; do
+  docker exec "$name" ipfs swarm connect "$peer" || echo "Error connecting to peer: $peer"
+done

poetry.toml

@@ -0,0 +1,2 @@
+[virtualenvs]
+in-project = true

pyproject.toml

@@ -0,0 +1,67 @@
+[tool.poetry]
+name = 'skynet'
+version = '0.1a12'
+description = 'Decentralized compute platform'
+authors = ['Guillermo Rodriguez <guillermo@telos.net>']
+license = 'AGPL'
+readme = 'README.md'
+
+[tool.poetry.dependencies]
+python = '>=3.10,<3.12'
+pytz = '^2023.3.post1'
+trio = '^0.22.2'
+asks = '^3.0.0'
+Pillow = '^10.0.1'
+docker = '^6.1.3'
+py-leap = {git = 'https://github.com/guilledk/py-leap.git', rev = 'v0.1a14'}
+toml = '^0.10.2'
+
+[tool.poetry.group.frontend]
+optional = true
+
+[tool.poetry.group.frontend.dependencies]
+triopg = {version = '^0.6.0'}
+aiohttp = {version = '^3.8.5'}
+psycopg2-binary = {version = '^2.9.7'}
+pyTelegramBotAPI = {version = '^4.14.0'}
+'discord.py' = {version = '^2.3.2'}
+
+[tool.poetry.group.dev]
+optional = true
+
+[tool.poetry.group.dev.dependencies]
+pdbpp = {version = '^0.10.3'}
+pytest = {version = '^7.4.2'}
+
+[tool.poetry.group.cuda]
+optional = true
+
+[tool.poetry.group.cuda.dependencies]
+torch = {version = '2.0.1+cu118', source = 'torch'}
+scipy = {version = '^1.11.2'}
+numba = {version = '0.57.0'}
+quart = {version = '^0.19.3'}
+triton = {version = '2.0.0', source = 'torch'}
+basicsr = {version = '^1.4.2'}
+xformers = {version = '^0.0.22'}
+hypercorn = {version = '^0.14.4'}
+diffusers = {version = '^0.21.2'}
+realesrgan = {version = '^0.3.0'}
+quart-trio = {version = '^0.11.0'}
+torchvision = {version = '0.15.2+cu118', source = 'torch'}
+accelerate = {version = '^0.23.0'}
+transformers = {version = '^4.33.2'}
+huggingface-hub = {version = '^0.17.3'}
+invisible-watermark = {version = '^0.2.0'}
+
+[[tool.poetry.source]]
+name = 'torch'
+url = 'https://download.pytorch.org/whl/cu118'
+priority = 'explicit'
+
+[build-system]
+requires = ['poetry-core', 'cython']
+build-backend = 'poetry.core.masonry.api'
+
+[tool.poetry.scripts]
+skynet = 'skynet.cli:skynet'

pytest.ini

@@ -1,2 +1,4 @@
 [pytest]
-trio_mode = true
+log_cli = True
+log_level = info
+trio_mode = True

requirements.cuda.0.txt

@@ -1,8 +0,0 @@
-pdbpp
-scipy
-accelerate
-transformers
-huggingface_hub
-diffusers[torch]
-torch==1.13.0+cu117
---extra-index-url https://download.pytorch.org/whl/cu117

requirements.cuda.1.txt

@@ -1 +0,0 @@
-git+https://github.com/facebookresearch/xformers.git@main#egg=xformers

requirements.test.txt

@@ -1,2 +0,0 @@
-pytest
-pytest-trio

requirements.txt

@@ -1,8 +0,0 @@
-trio
-pynng
-triopg
-aiohttp
-msgspec
-trio_asyncio
-
-git+https://github.com/goodboy/tractor.git@master#egg=tractor

scripts/txt2img.py

@@ -1,30 +0,0 @@
-import os
-import sys
-
-from pathlib import Path
-
-import torch
-from diffusers import StableDiffusionPipeline
-
-from huggingface_hub import login
-
-assert torch.cuda.is_available()
-
-login(token=os.environ['HF_TOKEN'])
-
-pipe = StableDiffusionPipeline.from_pretrained(
-    "runwayml/stable-diffusion-v1-5",
-    torch_dtype=torch.float16,
-    revision="fp16"
-)
-pipe = pipe.to("cuda")
-
-prompt = sys.argv[1]
-image = pipe(
-    prompt,
-    width=640,
-    height=640,
-    guidance_scale=7.5, num_inference_steps=120
-).images[0]
-
-image.save("/outputs/img.png")

setup.py

@@ -1,11 +0,0 @@
-from setuptools import setup, find_packages
-
-setup(
-    name='skynet-bot',
-    version='0.1.0a6',
-    description='Decentralized compute platform',
-    author='Guillermo Rodriguez',
-    author_email='guillermo@telos.net',
-    packages=find_packages(),
-    install_requires=[]
-)

skynet.toml.example

@@ -0,0 +1,47 @@
+# config sections are optional, depending on which services
+# you wish to run
+
+[skynet.dgpu]
+account = 'testworkerX'
+permission = 'active'
+key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
+node_url = 'https://testnet.skygpu.net'
+hyperion_url = 'https://testnet.skygpu.net'
+ipfs_gateway_url = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
+ipfs_url = 'http://127.0.0.1:5001'
+hf_home = 'hf_home'
+hf_token = 'hf_XxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXxXx'
+auto_withdraw = true
+non_compete = []
+api_bind = '127.0.0.1:42690'
+
+[skynet.telegram]
+account = 'telegram'
+permission = 'active'
+key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
+node_url = 'https://testnet.skygpu.net'
+hyperion_url = 'https://testnet.skygpu.net'
+ipfs_gateway_url = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
+ipfs_url = 'http://127.0.0.1:5001'
+token = 'XXXXXXXXXX:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
+
+[skynet.discord]
+account = 'discord'
+permission = 'active'
+key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
+node_url = 'https://testnet.skygpu.net'
+hyperion_url = 'https://testnet.skygpu.net'
+ipfs_gateway_url = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
+ipfs_url = 'http://127.0.0.1:5001'
+token = 'XXXXXXXXXX:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
+
+[skynet.pinner]
+hyperion_url = 'https://testnet.skygpu.net'
+ipfs_url = 'http://127.0.0.1:5001'
+
+[skynet.user]
+account = 'testuser'
+permission = 'active'
+key = '5Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
+node_url = 'https://testnet.skygpu.net'
+

skynet/cli.py

@@ -0,0 +1,521 @@
+#!/usr/bin/python
+
+import json
+import logging
+import random
+
+from functools import partial
+
+import click
+
+from leap.sugar import Name, asset_from_str
+
+from .config import *
+from .constants import *
+
+
+@click.group()
+def skynet(*args, **kwargs):
+    pass
+
+
+@click.command()
+@click.option('--model', '-m', default='midj')
+@click.option(
+    '--prompt', '-p', default='a red old tractor in a sunny wheat field')
+@click.option('--output', '-o', default='output.png')
+@click.option('--width', '-w', default=512)
+@click.option('--height', '-h', default=512)
+@click.option('--guidance', '-g', default=10.0)
+@click.option('--steps', '-s', default=26)
+@click.option('--seed', '-S', default=None)
+def txt2img(*args, **kwargs):
+    from . import utils
+
+    config = load_skynet_toml()
+    hf_token = load_key(config, 'skynet.dgpu.hf_token')
+    hf_home = load_key(config, 'skynet.dgpu.hf_home')
+    set_hf_vars(hf_token, hf_home)
+    utils.txt2img(hf_token, **kwargs)
+
+@click.command()
+@click.option('--model', '-m', default=list(MODELS.keys())[0])
+@click.option(
+    '--prompt', '-p', default='a red old tractor in a sunny wheat field')
+@click.option('--input', '-i', default='input.png')
+@click.option('--output', '-o', default='output.png')
+@click.option('--strength', '-Z', default=1.0)
+@click.option('--guidance', '-g', default=10.0)
+@click.option('--steps', '-s', default=26)
+@click.option('--seed', '-S', default=None)
+def img2img(model, prompt, input, output, strength, guidance, steps, seed):
+    from . import utils
+    config = load_skynet_toml()
+    hf_token = load_key(config, 'skynet.dgpu.hf_token')
+    hf_home = load_key(config, 'skynet.dgpu.hf_home')
+    set_hf_vars(hf_token, hf_home)
+    utils.img2img(
+        hf_token,
+        model=model,
+        prompt=prompt,
+        img_path=input,
+        output=output,
+        strength=strength,
+        guidance=guidance,
+        steps=steps,
+        seed=seed
+    )
+
+@click.command()
+@click.option('--input', '-i', default='input.png')
+@click.option('--output', '-o', default='output.png')
+@click.option('--model', '-m', default='weights/RealESRGAN_x4plus.pth')
+def upscale(input, output, model):
+    from . import utils
+    utils.upscale(
+        img_path=input,
+        output=output,
+        model_path=model)
+
+
+@skynet.command()
+def download():
+    from . import utils
+    config = load_skynet_toml()
+    hf_token = load_key(config, 'skynet.dgpu.hf_token')
+    hf_home = load_key(config, 'skynet.dgpu.hf_home')
+    set_hf_vars(hf_token, hf_home)
+    utils.download_all_models(hf_token, hf_home)
+
+@skynet.command()
+@click.option(
+    '--reward', '-r', default='20.0000 GPU')
+@click.option('--jobs', '-j', default=1)
+@click.option('--model', '-m', default='stabilityai/stable-diffusion-xl-base-1.0')
+@click.option(
+    '--prompt', '-p', default='a red old tractor in a sunny wheat field')
+@click.option('--output', '-o', default='output.png')
+@click.option('--width', '-w', default=1024)
+@click.option('--height', '-h', default=1024)
+@click.option('--guidance', '-g', default=10)
+@click.option('--step', '-s', default=26)
+@click.option('--seed', '-S', default=None)
+@click.option('--upscaler', '-U', default='x4')
+@click.option('--binary_data', '-b', default='')
+@click.option('--strength', '-Z', default=None)
+def enqueue(
+    reward: str,
+    jobs: int,
+    **kwargs
+):
+    import trio
+    from leap.cleos import CLEOS
+
+    config = load_skynet_toml()
+
+    key = load_key(config, 'skynet.user.key')
+    account = load_key(config, 'skynet.user.account')
+    permission = load_key(config, 'skynet.user.permission')
+    node_url = load_key(config, 'skynet.user.node_url')
+
+    cleos = CLEOS(None, None, url=node_url, remote=node_url)
+
+    binary = kwargs['binary_data']
+    if not kwargs['strength']:
+        if binary:
+            raise ValueError('strength -Z param required if binary data passed')
+
+        del kwargs['strength']
+
+    else:
+        kwargs['strength'] = float(kwargs['strength'])
+
+    async def enqueue_n_jobs():
+        for i in range(jobs):
+            if not kwargs['seed']:
+                kwargs['seed'] = random.randint(0, 10e9)
+
+            req = json.dumps({
+                'method': 'diffuse',
+                'params': kwargs
+            })
+
+            res = await cleos.a_push_action(
+                'telos.gpu',
+                'enqueue',
+                {
+                    'user': Name(account),
+                    'request_body': req,
+                    'binary_data': binary,
+                    'reward': asset_from_str(reward),
+                    'min_verification': 1
+                },
+                account, key, permission,
+            )
+            print(res)
+
+    trio.run(enqueue_n_jobs)
+
+
+@skynet.command()
+@click.option('--loglevel', '-l', default='INFO', help='Logging level')
+def clean(
+    loglevel: str,
+):
+    import trio
+    from leap.cleos import CLEOS
+
+    config = load_skynet_toml()
+    key = load_key(config, 'skynet.user.key')
+    account = load_key(config, 'skynet.user.account')
+    permission = load_key(config, 'skynet.user.permission')
+    node_url = load_key(config, 'skynet.user.node_url')
+
+    logging.basicConfig(level=loglevel)
+    cleos = CLEOS(None, None, url=node_url, remote=node_url)
+    trio.run(
+        partial(
+            cleos.a_push_action,
+            'telos.gpu',
+            'clean',
+            {},
+            account, key, permission=permission
+        )
+    )
+
+@skynet.command()
+def queue():
+    import requests
+    config = load_skynet_toml()
+    node_url = load_key(config, 'skynet.user.node_url')
+    resp = requests.post(
+        f'{node_url}/v1/chain/get_table_rows',
+        json={
+            'code': 'telos.gpu',
+            'table': 'queue',
+            'scope': 'telos.gpu',
+            'json': True
+        }
+    )
+    print(json.dumps(resp.json(), indent=4))
+
+@skynet.command()
+@click.argument('request-id')
+def status(request_id: int):
+    import requests
+    config = load_skynet_toml()
+    node_url = load_key(config, 'skynet.user.node_url')
+    resp = requests.post(
+        f'{node_url}/v1/chain/get_table_rows',
+        json={
+            'code': 'telos.gpu',
+            'table': 'status',
+            'scope': request_id,
+            'json': True
+        }
+    )
+    print(json.dumps(resp.json(), indent=4))
+
+@skynet.command()
+@click.argument('request-id')
+def dequeue(request_id: int):
+    import trio
+    from leap.cleos import CLEOS
+
+    config = load_skynet_toml()
+    key = load_key(config, 'skynet.user.key')
+    account = load_key(config, 'skynet.user.account')
+    permission = load_key(config, 'skynet.user.permission')
+    node_url = load_key(config, 'skynet.user.node_url')
+
+    cleos = CLEOS(None, None, url=node_url, remote=node_url)
+    res = trio.run(
+        partial(
+            cleos.a_push_action,
+            'telos.gpu',
+            'dequeue',
+            {
+                'user': Name(account),
+                'request_id': int(request_id),
+            },
+            account, key, permission=permission
+        )
+    )
+    print(res)
+
+
+@skynet.command()
+@click.option(
+    '--token-contract', '-c', default='eosio.token')
+@click.option(
+    '--token-symbol', '-S', default='4,GPU')
+def config(
+    token_contract: str,
+    token_symbol: str
+):
+    import trio
+    from leap.cleos import CLEOS
+
+    config = load_skynet_toml()
+
+    key = load_key(config, 'skynet.user.key')
+    account = load_key(config, 'skynet.user.account')
+    permission = load_key(config, 'skynet.user.permission')
+    node_url = load_key(config, 'skynet.user.node_url')
+
+    cleos = CLEOS(None, None, url=node_url, remote=node_url)
+    res = trio.run(
+        partial(
+            cleos.a_push_action,
+            'telos.gpu',
+            'config',
+            {
+                'token_contract': token_contract,
+                'token_symbol': token_symbol,
+            },
+            account, key, permission=permission
+        )
+    )
+    print(res)
+
+
+@skynet.command()
+@click.argument('quantity')
+def deposit(quantity: str):
+    import trio
+    from leap.cleos import CLEOS
+
+    config = load_skynet_toml()
+
+    key = load_key(config, 'skynet.user.key')
+    account = load_key(config, 'skynet.user.account')
+    permission = load_key(config, 'skynet.user.permission')
+    node_url = load_key(config, 'skynet.user.node_url')
+    cleos = CLEOS(None, None, url=node_url, remote=node_url)
+
+    res = trio.run(
+        partial(
+            cleos.a_push_action,
+            'telos.gpu',
+            'transfer',
+            {
+                'sender': Name(account),
+                'recipient': Name('telos.gpu'),
+                'amount': asset_from_str(quantity),
+                'memo': f'{account} transferred {quantity} to telos.gpu'
+            },
+            account, key, permission=permission
+        )
+    )
+    print(res)
+
+
+@skynet.group()
+def run(*args, **kwargs):
+    pass
+
+@run.command()
+def db():
+    from .db import open_new_database
+
+    logging.basicConfig(level=logging.INFO)
+    with open_new_database(cleanup=False) as db_params:
+        container, passwd, host = db_params
+        logging.info(('skynet', passwd, host))
+
+@run.command()
+def nodeos():
+    from .nodeos import open_nodeos
+
+    logging.basicConfig(filename='skynet-nodeos.log', level=logging.INFO)
+    with open_nodeos(cleanup=False):
+        ...
+
+@run.command()
+@click.option('--loglevel', '-l', default='INFO', help='Logging level')
+@click.option(
+    '--config-path', '-c', default=DEFAULT_CONFIG_PATH)
+def dgpu(
+    loglevel: str,
+    config_path: str
+):
+    import trio
+    from .dgpu import open_dgpu_node
+
+    logging.basicConfig(level=loglevel)
+
+    config = load_skynet_toml(file_path=config_path)
+    hf_token = load_key(config, 'skynet.dgpu.hf_token')
+    hf_home = load_key(config, 'skynet.dgpu.hf_home')
+    set_hf_vars(hf_token, hf_home)
+
+    assert 'skynet' in config
+    assert 'dgpu' in config['skynet']
+
+    trio.run(open_dgpu_node, config['skynet']['dgpu'])
+
+
+@run.command()
+@click.option('--loglevel', '-l', default='INFO', help='logging level')
+@click.option(
+    '--db-host', '-h', default='localhost:5432')
+@click.option(
+    '--db-user', '-u', default='skynet')
+@click.option(
+    '--db-pass', '-u', default='password')
+def telegram(
+    loglevel: str,
+    db_host: str,
+    db_user: str,
+    db_pass: str
+):
+    import asyncio
+    from .frontend.telegram import SkynetTelegramFrontend
+
+    logging.basicConfig(level=loglevel)
+
+    config = load_skynet_toml()
+    tg_token = load_key(config, 'skynet.telegram.tg_token')
+
+    key = load_key(config, 'skynet.telegram.key')
+    account = load_key(config, 'skynet.telegram.account')
+    permission = load_key(config, 'skynet.telegram.permission')
+    node_url = load_key(config, 'skynet.telegram.node_url')
+    hyperion_url = load_key(config, 'skynet.telegram.hyperion_url')
+
+    try:
+        ipfs_gateway_url = load_key(config, 'skynet.telegram.ipfs_gateway_url')
+
+    except ConfigParsingError:
+        ipfs_gateway_url = None
+
+    ipfs_url = load_key(config, 'skynet.telegram.ipfs_url')
+
+    try:
+        explorer_domain = load_key(config, 'skynet.telegram.explorer_domain')
+
+    except ConfigParsingError:
+        explorer_domain = DEFAULT_EXPLORER_DOMAIN
+
+    try:
+        ipfs_domain = load_key(config, 'skynet.telegram.ipfs_domain')
+
+    except ConfigParsingError:
+        ipfs_domain = DEFAULT_IPFS_DOMAIN
+
+    async def _async_main():
+        frontend = SkynetTelegramFrontend(
+            tg_token,
+            account,
+            permission,
+            node_url,
+            hyperion_url,
+            db_host, db_user, db_pass,
+            ipfs_url,
+            remote_ipfs_node=ipfs_gateway_url,
+            key=key,
+            explorer_domain=explorer_domain,
+            ipfs_domain=ipfs_domain
+        )
+
+        async with frontend.open():
+            await frontend.bot.infinity_polling()
+
+
+    asyncio.run(_async_main())
+
+
+@run.command()
+@click.option('--loglevel', '-l', default='INFO', help='logging level')
+@click.option(
+    '--db-host', '-h', default='localhost:5432')
+@click.option(
+    '--db-user', '-u', default='skynet')
+@click.option(
+    '--db-pass', '-u', default='password')
+def discord(
+    loglevel: str,
+    db_host: str,
+    db_user: str,
+    db_pass: str
+):
+    import asyncio
+    from .frontend.discord import SkynetDiscordFrontend
+
+    logging.basicConfig(level=loglevel)
+
+    config = load_skynet_toml()
+    dc_token = load_key(config, 'skynet.discord.dc_token')
+
+    key = load_key(config, 'skynet.discord.key')
+    account = load_key(config, 'skynet.discord.account')
+    permission = load_key(config, 'skynet.discord.permission')
+    node_url = load_key(config, 'skynet.discord.node_url')
+    hyperion_url = load_key(config, 'skynet.discord.hyperion_url')
+
+    ipfs_gateway_url = load_key(config, 'skynet.discord.ipfs_gateway_url')
+    ipfs_url = load_key(config, 'skynet.discord.ipfs_url')
+
+    try:
+        explorer_domain = load_key(config, 'skynet.discord.explorer_domain')
+
+    except ConfigParsingError:
+        explorer_domain = DEFAULT_EXPLORER_DOMAIN
+
+    try:
+        ipfs_domain = load_key(config, 'skynet.discord.ipfs_domain')
+
+    except ConfigParsingError:
+        ipfs_domain = DEFAULT_IPFS_DOMAIN
+
+    async def _async_main():
+        frontend = SkynetDiscordFrontend(
+            # dc_token,
+            account,
+            permission,
+            node_url,
+            hyperion_url,
+            db_host, db_user, db_pass,
+            ipfs_url,
+            remote_ipfs_node=ipfs_gateway_url,
+            key=key,
+            explorer_domain=explorer_domain,
+            ipfs_domain=ipfs_domain
+        )
+
+        async with frontend.open():
+            await frontend.bot.start(dc_token)
+
+    asyncio.run(_async_main())
+
+
+@run.command()
+@click.option('--loglevel', '-l', default='INFO', help='logging level')
+@click.option('--name', '-n', default='skynet-ipfs', help='container name')
+@click.option('--peer', '-p', default=(), help='connect to peer', multiple=True, type=str)
+def ipfs(loglevel, name, peer):
+    from skynet.ipfs.docker import open_ipfs_node
+
+    logging.basicConfig(level=loglevel)
+    with open_ipfs_node(name=name, peers=peer):
+        ...
+
+@run.command()
+@click.option('--loglevel', '-l', default='INFO', help='logging level')
+def pinner(loglevel):
+    import trio
+    from leap.hyperion import HyperionAPI
+    from .ipfs import AsyncIPFSHTTP
+    from .ipfs.pinner import SkynetPinner
+
+    config = load_skynet_toml()
+    hyperion_url = load_key(config, 'skynet.pinner.hyperion_url')
+    ipfs_url = load_key(config, 'skynet.pinner.ipfs_url')
+
+    logging.basicConfig(level=loglevel)
+    ipfs_node = AsyncIPFSHTTP(ipfs_url)
+    hyperion = HyperionAPI(hyperion_url)
+
+    pinner = SkynetPinner(hyperion, ipfs_node)
+
+    trio.run(pinner.pin_forever)

skynet/config.py

@@ -0,0 +1,33 @@
+#!/usr/bin/python
+
+import os
+import toml
+
+from pathlib import Path
+
+from .constants import DEFAULT_CONFIG_PATH
+
+
+class ConfigParsingError(BaseException):
+    ...
+
+
+def load_skynet_toml(file_path=DEFAULT_CONFIG_PATH) -> dict:
+    config = toml.load(file_path)
+    return config
+
+
+def load_key(config: dict, key: str) -> str:
+    for skey in key.split('.'):
+        if skey not in config:
+            conf_keys = [k for k in config]
+            raise ConfigParsingError(f'key \"{skey}\" not in {conf_keys}')
+
+        config = config[skey]
+
+    return config
+
+
+def set_hf_vars(hf_token: str, hf_home: str):
+    os.environ['HF_TOKEN'] = hf_token
+    os.environ['HF_HOME'] = hf_home

skynet/constants.py

@@ -0,0 +1,195 @@
+#!/usr/bin/python
+
+VERSION = '0.1a12'
+
+DOCKER_RUNTIME_CUDA = 'skynet:runtime-cuda'
+
+MODELS = {
+    'prompthero/openjourney':                   {'short': 'midj',        'mem': 6},
+    'runwayml/stable-diffusion-v1-5':           {'short': 'stable',      'mem': 6},
+    'stabilityai/stable-diffusion-2-1-base':    {'short': 'stable2',     'mem': 6},
+    'snowkidy/stable-diffusion-xl-base-0.9':    {'short': 'stablexl0.9', 'mem': 8.3},
+    'Linaqruf/anything-v3.0':                   {'short': 'hdanime',     'mem': 6},
+    'hakurei/waifu-diffusion':                  {'short': 'waifu',       'mem': 6},
+    'nitrosocke/Ghibli-Diffusion':              {'short': 'ghibli',      'mem': 6},
+    'dallinmackay/Van-Gogh-diffusion':          {'short': 'van-gogh',    'mem': 6},
+    'lambdalabs/sd-pokemon-diffusers':          {'short': 'pokemon',     'mem': 6},
+    'Envvi/Inkpunk-Diffusion':                  {'short': 'ink',         'mem': 6},
+    'nousr/robo-diffusion':                     {'short': 'robot',       'mem': 6},
+
+    # default is always last
+    'stabilityai/stable-diffusion-xl-base-1.0': {'short': 'stablexl',    'mem': 8.3},
+}
+
+SHORT_NAMES = [
+    model_info['short']
+    for model_info in MODELS.values()
+]
+
+def get_model_by_shortname(short: str):
+    for model, info in MODELS.items():
+        if short == info['short']:
+            return model
+
+N = '\n'
+HELP_TEXT = f'''
+test art bot v{VERSION}
+
+commands work on a user per user basis!
+config is individual to each user!
+
+/txt2img TEXT - request an image based on a prompt
+/img2img <attach_image> TEXT - request an image base on an image and a prompt
+
+/redo - redo last command (only works for txt2img for now!)
+
+/help step - get info on step config option
+/help guidance - get info on guidance config option
+
+/cool - list of cool words to use
+/stats - user statistics
+/donate - see donation info
+
+/config algo NAME - select AI to use one of:
+/config model NAME - select AI to use one of:
+
+{N.join(SHORT_NAMES)}
+
+/config step NUMBER - set amount of iterations
+/config seed [auto|NUMBER] - set the seed, deterministic results!
+/config width NUMBER - set horizontal size in pixels
+/config height NUMBER - set vertical size in pixels
+/config upscaler [off/x4] - enable/disable x4 size upscaler
+/config guidance NUMBER - prompt text importance
+/config strength NUMBER - importance of the input image for img2img
+'''
+
+UNKNOWN_CMD_TEXT = 'Unknown command! Try sending \"/help\"'
+
+DONATION_INFO = '0xf95335682DF281FFaB7E104EB87B69625d9622B6\ngoal: 0.0465/1.0000 ETH'
+
+COOL_WORDS = [
+    'cyberpunk',
+    'soviet propaganda poster',
+    'rastafari',
+    'cannabis',
+    'art deco',
+    'H R Giger Necronom IV',
+    'dimethyltryptamine',
+    'lysergic',
+    'slut',
+    'psilocybin',
+    'trippy',
+    'lucy in the sky with diamonds',
+    'fractal',
+    'da vinci',
+    'pencil illustration',
+    'blueprint',
+    'internal diagram',
+    'baroque',
+    'the last judgment',
+    'michelangelo'
+]
+
+CLEAN_COOL_WORDS = [
+    'cyberpunk',
+    'soviet propaganda poster',
+    'rastafari',
+    'cannabis',
+    'art deco',
+    'H R Giger Necronom IV',
+    'dimethyltryptamine',
+    'lysergic',
+    'psilocybin',
+    'trippy',
+    'lucy in the sky with diamonds',
+    'fractal',
+    'da vinci',
+    'pencil illustration',
+    'blueprint',
+    'internal diagram',
+    'baroque',
+    'the last judgment',
+    'michelangelo'
+]
+
+HELP_TOPICS = {
+    'step': '''
+Diffusion models are iterative processes – a repeated cycle that starts with a\
+ random noise generated from text input. With each step, some noise is removed\
+, resulting in a higher-quality image over time. The repetition stops when the\
+ desired number of steps completes.
+
+Around 25 sampling steps are usually enough to achieve high-quality images. Us\
+ing more may produce a slightly different picture, but not necessarily better \
+quality.
+''',
+
+    'guidance': '''
+The guidance scale is a parameter that controls how much the image generation\
+ process follows the text prompt. The higher the value, the more image sticks\
+ to a given text input. Value range 0 to 20. Recomended range: 4.5-7.5.
+''',
+
+    'strength': '''
+Noise is added to the image you use as an init image for img2img, and then the\
+ diffusion process continues according to the prompt. The amount of noise added\
+ depends on the \"Strength of img2img\"” parameter, which ranges from 0 to 1,\
+ where 0 adds no noise at all and you will get the exact image you added, and\
+ 1 completely replaces the image with noise and almost acts as if you used\
+ normal txt2img instead of img2img.
+'''
+}
+
+HELP_UNKWNOWN_PARAM = 'don\'t have any info on that.'
+
+GROUP_ID = -1001541979235
+
+MP_ENABLED_ROLES = ['god']
+
+MIN_STEP = 1
+MAX_STEP = 100
+MAX_WIDTH = 1024
+MAX_HEIGHT = 1024
+MAX_GUIDANCE = 20
+
+DEFAULT_SEED = None
+DEFAULT_WIDTH = 1024
+DEFAULT_HEIGHT = 1024
+DEFAULT_GUIDANCE = 7.5
+DEFAULT_STRENGTH = 0.5
+DEFAULT_STEP = 28
+DEFAULT_CREDITS = 10
+DEFAULT_MODEL = list(MODELS.keys())[-1]
+DEFAULT_ROLE = 'pleb'
+DEFAULT_UPSCALER = None
+
+DEFAULT_CONFIG_PATH = 'skynet.toml'
+
+DEFAULT_INITAL_MODELS = [
+    'stabilityai/stable-diffusion-xl-base-1.0'
+]
+
+DATE_FORMAT = '%B the %dth %Y, %H:%M:%S'
+
+CONFIG_ATTRS = [
+    'algo',
+    'step',
+    'width',
+    'height',
+    'seed',
+    'guidance',
+    'strength',
+    'upscaler'
+]
+
+DEFAULT_EXPLORER_DOMAIN = 'explorer.skygpu.net'
+DEFAULT_IPFS_DOMAIN = 'ipfs.skygpu.net'
+
+DEFAULT_IPFS_REMOTE = '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv'
+DEFAULT_IPFS_LOCAL = 'http://127.0.0.1:5001'
+
+TG_MAX_WIDTH = 1280
+TG_MAX_HEIGHT = 1280
+
+DEFAULT_SINGLE_CARD_MAP = 'cuda:0'

skynet/db/__init__.py

@@ -0,0 +1,3 @@
+#!/usr/bin/python
+
+from .functions import open_new_database, open_database_connection

skynet/db/functions.py

@@ -0,0 +1,368 @@
+#!/usr/bin/python
+
+import time
+import random
+import string
+import logging
+import importlib
+
+from datetime import datetime
+from contextlib import contextmanager as cm
+from contextlib import asynccontextmanager as acm
+
+import docker
+import asyncpg
+import psycopg2
+
+from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
+
+from ..constants import *
+
+
+DB_INIT_SQL = '''
+CREATE SCHEMA IF NOT EXISTS skynet;
+
+CREATE TABLE IF NOT EXISTS skynet.user(
+    id BIGSERIAL PRIMARY KEY NOT NULL,
+    generated INT NOT NULL,
+    joined TIMESTAMP NOT NULL,
+    last_method TEXT,
+    last_prompt TEXT,
+    last_file   TEXT,
+    last_binary TEXT,
+    role VARCHAR(128) NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS skynet.user_config(
+    id BIGSERIAL NOT NULL,
+    model VARCHAR(512) NOT NULL,
+    step INT NOT NULL,
+    width INT NOT NULL,
+    height INT NOT NULL,
+    seed NUMERIC,
+    guidance DECIMAL NOT NULL,
+    strength DECIMAL NOT NULL,
+    upscaler VARCHAR(128),
+    autoconf BOOLEAN DEFAULT TRUE,
+    CONSTRAINT fk_config
+      FOREIGN KEY(id)
+        REFERENCES skynet.user(id)
+);
+
+CREATE TABLE IF NOT EXISTS skynet.user_requests(
+    id BIGSERIAL NOT NULL,
+    user_id BIGSERIAL NOT NULL,
+    sent TIMESTAMP NOT NULL,
+    status TEXT NOT NULL,
+    status_msg BIGSERIAL PRIMARY KEY NOT NULL,
+    CONSTRAINT fk_user_req
+      FOREIGN KEY(user_id)
+        REFERENCES skynet.user(id)
+);
+'''
+
+
+def try_decode_uid(uid: str):
+    try:
+        return None, int(uid)
+    except ValueError:
+        ...
+
+    try:
+        proto, uid = uid.split('+')
+        uid = int(uid)
+        return proto, uid
+
+    except ValueError:
+        logging.warning(f'got non chat proto uid?: {uid}')
+        return None, None
+
+
+@cm
+def open_new_database(cleanup=True):
+    rpassword = ''.join(
+        random.choice(string.ascii_lowercase)
+        for i in range(12))
+    password = ''.join(
+        random.choice(string.ascii_lowercase)
+        for i in range(12))
+
+    dclient = docker.from_env()
+
+    container = dclient.containers.run(
+        'postgres',
+        name='skynet-test-postgres',
+        ports={'5432/tcp': None},
+        environment={
+            'POSTGRES_PASSWORD': rpassword
+        },
+        detach=True,
+        # could remove this if we ant the dockers to be persistent.
+        # remove=True
+    )
+    try:
+
+        for log in container.logs(stream=True):
+            log = log.decode().rstrip()
+            logging.info(log)
+            if ('database system is ready to accept connections' in log or
+                'database system is shut down' in log):
+                break
+
+        # ip = container.attrs['NetworkSettings']['IPAddress']
+        container.reload()
+        port = container.ports['5432/tcp'][0]['HostPort']
+        host = f'localhost:{port}'
+
+        # why print the system is ready to accept connections when its not
+        # postgres? wtf
+        time.sleep(1)
+        logging.info('creating skynet db...')
+
+        conn = psycopg2.connect(
+            user='postgres',
+            password=rpassword,
+            host='localhost',
+            port=port
+        )
+        logging.info('connected...')
+        conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
+        with conn.cursor() as cursor:
+            cursor.execute(
+                f'CREATE USER skynet WITH PASSWORD \'{password}\'')
+            cursor.execute(
+                f'CREATE DATABASE skynet')
+            cursor.execute(
+                f'GRANT ALL PRIVILEGES ON DATABASE skynet TO skynet')
+
+        conn.close()
+
+        logging.info('done.')
+        yield container, password, host
+
+    finally:
+        if container and cleanup:
+            container.stop()
+
+@acm
+async def open_database_connection(
+    db_user: str = 'skynet',
+    db_pass: str = 'password',
+    db_host: str = 'localhost:5432',
+    db_name: str = 'skynet'
+):
+    db = importlib.import_module('skynet.db.functions')
+    pool = await asyncpg.create_pool(
+        dsn=f'postgres://{db_user}:{db_pass}@{db_host}/{db_name}')
+
+    async with pool.acquire() as conn:
+        res = await conn.execute(f'''
+            select distinct table_schema
+            from information_schema.tables
+            where table_schema = \'{db_name}\'
+        ''')
+        if '1' in res:
+            logging.info('schema already in db, skipping init')
+        else:
+            await conn.execute(DB_INIT_SQL)
+
+        col_check = await conn.fetch(f'''
+            select column_name 
+            from information_schema.columns 
+            where table_name = 'user_config' and column_name = 'autoconf';
+        ''')
+
+        if not col_check:
+            await conn.execute('alter table skynet.user_config add column autoconf boolean default true;')
+
+    async def _db_call(method: str, *args, **kwargs):
+        method = getattr(db, method)
+
+        async with pool.acquire() as conn:
+            return await method(conn, *args, **kwargs)
+
+    yield _db_call
+
+
+async def get_user_config(conn, user: int):
+    stmt = await conn.prepare(
+        'SELECT * FROM skynet.user_config WHERE id = $1')
+    conf = await stmt.fetch(user)
+    if len(conf) == 1:
+        return conf[0]
+
+    else:
+        return None
+
+
+async def get_user(conn, uid: int):
+    return await get_user_config(conn, uid)
+
+async def get_last_method_of(conn, user: int):
+    stmt = await conn.prepare(
+        'SELECT last_method FROM skynet.user WHERE id = $1')
+    return await stmt.fetchval(user)
+
+async def get_last_prompt_of(conn, user: int):
+    stmt = await conn.prepare(
+        'SELECT last_prompt FROM skynet.user WHERE id = $1')
+    return await stmt.fetchval(user)
+
+async def get_last_file_of(conn, user: int):
+    stmt = await conn.prepare(
+        'SELECT last_file FROM skynet.user WHERE id = $1')
+    return await stmt.fetchval(user)
+
+async def get_last_binary_of(conn, user: int):
+    stmt = await conn.prepare(
+        'SELECT last_binary FROM skynet.user WHERE id = $1')
+    return await stmt.fetchval(user)
+
+
+async def get_user_request(conn, mid: int):
+    stmt = await conn.prepare(
+        'SELECT * FROM skynet.user_requests WHERE id = $1')
+    return await stmt.fetch(mid)
+
+async def get_user_request_by_sid(conn, sid: int):
+    stmt = await conn.prepare(
+        'SELECT * FROM skynet.user_requests WHERE status_msg = $1')
+    return (await stmt.fetch(sid))[0]
+
+async def new_user_request(
+    conn, user: int, mid: int,
+    status_msg: int,
+    status: str = 'started processing request...'
+):
+    date = datetime.utcnow()
+    async with conn.transaction():
+        stmt = await conn.prepare('''
+            INSERT INTO skynet.user_requests(
+                id, user_id, sent, status, status_msg
+            )
+
+            VALUES($1, $2, $3, $4, $5)
+        ''')
+        await stmt.fetch(mid, user, date, status, status_msg)
+
+async def update_user_request(
+    conn, mid: int, status: str
+):
+    stmt = await conn.prepare(f'''
+        UPDATE skynet.user_requests
+        SET status = $2
+        WHERE id = $1
+    ''')
+    await stmt.fetch(mid, status)
+
+async def update_user_request_by_sid(
+    conn, sid: int, status: str
+):
+    stmt = await conn.prepare(f'''
+        UPDATE skynet.user_requests
+        SET status = $2
+        WHERE status_msg = $1
+    ''')
+    await stmt.fetch(sid, status)
+
+
+async def new_user(conn, uid: int):
+    if await get_user(conn, uid):
+        raise ValueError('User already present on db')
+
+    logging.info(f'new user! {uid}')
+
+    date = datetime.utcnow()
+    async with conn.transaction():
+        stmt = await conn.prepare('''
+            INSERT INTO skynet.user(
+                id, generated, joined,
+                last_method, last_prompt, last_file, last_binary,
+                role
+            )
+
+            VALUES($1, $2, $3, $4, $5, $6, $7, $8)
+        ''')
+        await stmt.fetch(
+            uid, 0, date, 'txt2img', None, None, None, DEFAULT_ROLE
+        )
+
+        stmt = await conn.prepare('''
+            INSERT INTO skynet.user_config(
+                id, model, step, width, height, guidance, strength, upscaler)
+
+            VALUES($1, $2, $3, $4, $5, $6, $7, $8)
+        ''')
+        resp = await stmt.fetch(
+            uid,
+            DEFAULT_MODEL,
+            DEFAULT_STEP,
+            DEFAULT_WIDTH,
+            DEFAULT_HEIGHT,
+            DEFAULT_GUIDANCE,
+            DEFAULT_STRENGTH,
+            DEFAULT_UPSCALER
+        )
+
+
+async def get_or_create_user(conn, uid: str):
+    user = await get_user(conn, uid)
+
+    if not user:
+        await new_user(conn, uid)
+        user = await get_user(conn, uid)
+
+    return user
+
+async def update_user(conn, user: int, attr: str, val):
+    stmt = await conn.prepare(f'''
+        UPDATE skynet.user
+        SET {attr} = $2
+        WHERE id = $1
+    ''')
+    await stmt.fetch(user, val)
+
+async def update_user_config(conn, user: int, attr: str, val):
+    stmt = await conn.prepare(f'''
+        UPDATE skynet.user_config
+        SET {attr} = $2
+        WHERE id = $1
+    ''')
+    await stmt.fetch(user, val)
+
+
+async def get_user_stats(conn, user: int):
+    stmt = await conn.prepare('''
+        SELECT generated,joined,role FROM skynet.user
+        WHERE id = $1
+    ''')
+    records = await stmt.fetch(user)
+    assert len(records) == 1
+    record = records[0]
+    return record
+
+async def increment_generated(conn, user: int):
+    stmt = await conn.prepare('''
+        UPDATE skynet.user
+        SET generated = generated + 1
+        WHERE id = $1
+    ''')
+    await stmt.fetch(user)
+
+async def update_user_stats(
+    conn,
+    user: int,
+    method: str,
+    last_prompt: str | None = None,
+    last_file: str | None = None,
+    last_binary: str | None = None
+):
+    await update_user(conn, user, 'last_method', method)
+    if last_prompt:
+        await update_user(conn, user, 'last_prompt', last_prompt)
+    if last_file:
+        await update_user(conn, user, 'last_file', last_file)
+    if last_binary:
+        await update_user(conn, user, 'last_binary', last_binary)
+
+    logging.info((method, last_prompt, last_binary))

skynet/dgpu/__init__.py

@@ -0,0 +1,30 @@
+#!/usr/bin/python
+
+import trio
+
+from hypercorn.config import Config
+from hypercorn.trio import serve
+
+from skynet.dgpu.compute import SkynetMM
+from skynet.dgpu.daemon import SkynetDGPUDaemon
+from skynet.dgpu.network import SkynetGPUConnector
+
+
+async def open_dgpu_node(config: dict):
+    conn = SkynetGPUConnector(config)
+    mm = SkynetMM(config)
+    daemon = SkynetDGPUDaemon(mm, conn, config)
+
+    api = None
+    if 'api_bind' in config:
+        api_conf = Config()
+        api_conf.bind = [config['api_bind']]
+        api = await daemon.generate_api()
+
+    async with trio.open_nursery() as n:
+        n.start_soon(daemon.snap_updater_task)
+
+        if api:
+            n.start_soon(serve, api, api_conf)
+
+        await daemon.serve_forever()

skynet/dgpu/compute.py

@@ -0,0 +1,210 @@
+#!/usr/bin/python
+
+# Skynet Memory Manager
+
+import gc
+import logging
+
+from hashlib import sha256
+import zipfile
+from PIL import Image
+from diffusers import DiffusionPipeline
+
+import trio
+import torch
+
+from skynet.constants import DEFAULT_INITAL_MODELS, MODELS
+from skynet.dgpu.errors import DGPUComputeError, DGPUInferenceCancelled
+
+from skynet.utils import crop_image, convert_from_cv2_to_image, convert_from_image_to_cv2, convert_from_img_to_bytes, init_upscaler, pipeline_for
+
+
+def prepare_params_for_diffuse(
+    params: dict,
+    input_type: str,
+    binary = None
+):
+    _params = {}
+    if binary != None:
+        match input_type:
+            case 'png':
+                image = crop_image(
+                    binary, params['width'], params['height'])
+
+                _params['image'] = image
+                _params['strength'] = float(params['strength'])
+
+            case 'none':
+                ...
+
+            case _:
+                raise DGPUComputeError(f'Unknown input_type {input_type}')
+
+    else:
+        _params['width'] = int(params['width'])
+        _params['height'] = int(params['height'])
+
+    return (
+        params['prompt'],
+        float(params['guidance']),
+        int(params['step']),
+        torch.manual_seed(int(params['seed'])),
+        params['upscaler'] if 'upscaler' in params else None,
+        _params
+    )
+
+
+class SkynetMM:
+
+    def __init__(self, config: dict):
+        self.upscaler = init_upscaler()
+        self.initial_models = (
+            config['initial_models']
+            if 'initial_models' in config else DEFAULT_INITAL_MODELS
+        )
+
+        self.cache_dir = None
+        if 'hf_home' in config:
+            self.cache_dir = config['hf_home']
+
+        self._models = {}
+        for model in self.initial_models:
+            self.load_model(model, False, force=True)
+
+    def log_debug_info(self):
+        logging.info('memory summary:')
+        logging.info('\n' + torch.cuda.memory_summary())
+
+    def is_model_loaded(self, model_name: str, image: bool):
+        for model_key, model_data in self._models.items():
+            if (model_key == model_name and
+                model_data['image'] == image):
+                return True
+
+        return False
+
+    def load_model(
+        self,
+        model_name: str,
+        image: bool,
+        force=False
+    ):
+        logging.info(f'loading model {model_name}...')
+        if force or len(self._models.keys()) == 0:
+            pipe = pipeline_for(
+                model_name, image=image, cache_dir=self.cache_dir)
+
+            self._models[model_name] = {
+                'pipe': pipe,
+                'generated': 0,
+                'image': image
+            }
+
+        else:
+            least_used = list(self._models.keys())[0]
+
+            for model in self._models:
+                if self._models[
+                    least_used]['generated'] > self._models[model]['generated']:
+                    least_used = model
+
+            del self._models[least_used]
+
+            logging.info(f'swapping model {least_used} for {model_name}...')
+
+            gc.collect()
+            torch.cuda.empty_cache()
+
+            pipe = pipeline_for(
+                model_name, image=image, cache_dir=self.cache_dir)
+
+            self._models[model_name] = {
+                'pipe': pipe,
+                'generated': 0,
+                'image': image
+            }
+
+        logging.info(f'loaded model {model_name}')
+        return pipe
+
+    def get_model(self, model_name: str, image: bool) -> DiffusionPipeline:
+        if model_name not in MODELS:
+            raise DGPUComputeError(f'Unknown model {model_name}')
+
+        if not self.is_model_loaded(model_name, image):
+            pipe = self.load_model(model_name, image=image)
+
+        else:
+            pipe = self._models[model_name]['pipe']
+
+        return pipe
+
+    def compute_one(
+        self,
+        request_id: int,
+        method: str,
+        params: dict,
+        input_type: str = 'png',
+        binary: bytes | None = None
+    ):
+        def maybe_cancel_work(step, *args, **kwargs):
+            if self._should_cancel:
+                should_raise = trio.from_thread.run(self._should_cancel, request_id)
+                if should_raise:
+                    logging.warn(f'cancelling work at step {step}')
+                    raise DGPUInferenceCancelled()
+
+        maybe_cancel_work(0)
+
+        output_type = 'png'
+        if 'output_type' in params:
+            output_type = params['output_type']
+
+        output = None
+        output_hash = None
+        try:
+            match method:
+                case 'diffuse':
+                    arguments = prepare_params_for_diffuse(
+                        params, input_type, binary=binary)
+                    prompt, guidance, step, seed, upscaler, extra_params = arguments
+                    model = self.get_model(params['model'], 'image' in extra_params)
+
+                    output = model(
+                        prompt,
+                        guidance_scale=guidance,
+                        num_inference_steps=step,
+                        generator=seed,
+                        callback=maybe_cancel_work,
+                        callback_steps=1,
+                        **extra_params
+                    ).images[0]
+
+                    output_binary = b''
+                    match output_type:
+                        case 'png':
+                            if upscaler == 'x4':
+                                input_img = output.convert('RGB')
+                                up_img, _ = self.upscaler.enhance(
+                                    convert_from_image_to_cv2(input_img), outscale=4)
+
+                                output = convert_from_cv2_to_image(up_img)
+
+                            output_binary = convert_from_img_to_bytes(output)
+
+                        case _:
+                            raise DGPUComputeError(f'Unsupported output type: {output_type}')
+
+                    output_hash = sha256(output_binary).hexdigest()
+
+                case _:
+                    raise DGPUComputeError('Unsupported compute method')
+
+        except BaseException as e:
+            logging.error(e)
+            raise DGPUComputeError(str(e))
+
+        finally:
+            torch.cuda.empty_cache()
+
+        return output_hash, output

skynet/dgpu/daemon.py

@@ -0,0 +1,226 @@
+#!/usr/bin/python
+
+import json
+import random
+import logging
+import time
+import traceback
+
+from hashlib import sha256
+from datetime import datetime
+from functools import partial
+
+import trio
+
+from quart import jsonify
+from quart_trio import QuartTrio as Quart
+
+from skynet.constants import MODELS, VERSION
+
+from skynet.dgpu.errors import *
+from skynet.dgpu.compute import SkynetMM
+from skynet.dgpu.network import SkynetGPUConnector
+
+
+def convert_reward_to_int(reward_str):
+    int_part, decimal_part = (
+        reward_str.split('.')[0],
+        reward_str.split('.')[1].split(' ')[0]
+    )
+    return int(int_part + decimal_part)
+
+
+class SkynetDGPUDaemon:
+
+    def __init__(
+        self,
+        mm: SkynetMM,
+        conn: SkynetGPUConnector,
+        config: dict
+    ):
+        self.mm = mm
+        self.conn = conn
+        self.auto_withdraw = (
+            config['auto_withdraw']
+            if 'auto_withdraw' in config else False
+        )
+
+        self.account = config['account']
+
+        self.non_compete = set()
+        if 'non_compete' in config:
+            self.non_compete = set(config['non_compete'])
+
+        self.model_whitelist = set()
+        if 'model_whitelist' in config:
+            self.model_whitelist = set(config['model_whitelist'])
+
+        self.model_blacklist = set()
+        if 'model_blacklist' in config:
+            self.model_blacklist = set(config['model_blacklist'])
+
+        self.backend = 'sync-on-thread'
+        if 'backend' in config:
+            self.backend = config['backend']
+
+        self._snap = {
+            'queue': [],
+            'requests': {},
+            'my_results': []
+        }
+
+        self._benchmark = []
+        self._last_benchmark = None
+        self._last_generation_ts = None
+
+    def _get_benchmark_speed(self) -> float:
+        if not self._last_benchmark:
+            return 0
+
+        start = self._last_benchmark[0]
+        end = self._last_benchmark[-1]
+
+        elapsed = end - start
+        its = len(self._last_benchmark)
+        speed = its / elapsed
+
+        logging.info(f'{elapsed} s total its: {its}, at {speed} it/s ')
+
+        return speed
+
+    async def should_cancel_work(self, request_id: int):
+        self._benchmark.append(time.time())
+        competitors = set([
+            status['worker']
+            for status in self._snap['requests'][request_id]
+            if status['worker'] != self.account
+        ])
+        return bool(self.non_compete & competitors)
+
+
+    async def snap_updater_task(self):
+        while True:
+            self._snap = await self.conn.get_full_queue_snapshot()
+            await trio.sleep(1)
+
+    async def generate_api(self):
+        app = Quart(__name__)
+
+        @app.route('/')
+        async def health():
+            return jsonify(
+                account=self.account,
+                version=VERSION,
+                last_generation_ts=self._last_generation_ts,
+                last_generation_speed=self._get_benchmark_speed()
+            )
+
+        return app
+
+    async def serve_forever(self):
+        try:
+            while True:
+                if self.auto_withdraw:
+                    await self.conn.maybe_withdraw_all()
+
+                queue = self._snap['queue']
+
+                random.shuffle(queue)
+                queue = sorted(
+                    queue,
+                    key=lambda req: convert_reward_to_int(req['reward']),
+                    reverse=True
+                )
+
+                for req in queue:
+                    rid = req['id']
+
+                    # parse request
+                    body = json.loads(req['body'])
+                    model = body['params']['model']
+
+                    # if model not known
+                    if model not in MODELS:
+                        logging.warning(f'Unknown model {model}')
+                        continue
+
+                    # if whitelist enabled and model not in it continue
+                    if (len(self.model_whitelist) > 0 and
+                        not model in self.model_whitelist):
+                        continue
+
+                    # if blacklist contains model skip
+                    if model in self.model_blacklist:
+                        continue
+
+                    my_results = [res['id'] for res in self._snap['my_results']]
+                    if rid not in my_results and rid in self._snap['requests']:
+                        statuses = self._snap['requests'][rid]
+
+                        if len(statuses) == 0:
+                            binary, input_type = await self.conn.get_input_data(req['binary_data'])
+
+                            hash_str = (
+                                str(req['nonce'])
+                                +
+                                req['body']
+                                +
+                                req['binary_data']
+                            )
+                            logging.info(f'hashing: {hash_str}')
+                            request_hash = sha256(hash_str.encode('utf-8')).hexdigest()
+
+                            # TODO: validate request
+
+                            # perform work
+                            logging.info(f'working on {body}')
+
+                            resp = await self.conn.begin_work(rid)
+                            if 'code' in resp:
+                                logging.info(f'probably being worked on already... skip.')
+
+                            else:
+                                try:
+                                    output_type = 'png'
+                                    if 'output_type' in body['params']:
+                                        output_type = body['params']['output_type']
+
+                                    output = None
+                                    output_hash = None
+                                    match self.backend:
+                                        case 'sync-on-thread':
+                                            self.mm._should_cancel = self.should_cancel_work
+                                            output_hash, output = await trio.to_thread.run_sync(
+                                                partial(
+                                                    self.mm.compute_one,
+                                                    rid,
+                                                    body['method'], body['params'],
+                                                    input_type=input_type,
+                                                    binary=binary
+                                                )
+                                            )
+
+                                        case _:
+                                            raise DGPUComputeError(f'Unsupported backend {self.backend}')
+                                    self._last_generation_ts = datetime.now().isoformat()
+                                    self._last_benchmark = self._benchmark
+                                    self._benchmark = []
+
+                                    ipfs_hash = await self.conn.publish_on_ipfs(output, typ=output_type)
+
+                                    await self.conn.submit_work(rid, request_hash, output_hash, ipfs_hash)
+
+                                except BaseException as e:
+                                    traceback.print_exc()
+                                    await self.conn.cancel_work(rid, str(e))
+
+                                finally:
+                                    break
+
+                    else:
+                        logging.info(f'request {rid} already beign worked on, skip...')
+
+                await trio.sleep(1)
+
+        except KeyboardInterrupt:
+            ...

skynet/dgpu/errors.py

@@ -0,0 +1,8 @@
+#!/usr/bin/python
+
+
+class DGPUComputeError(BaseException):
+    ...
+
+class DGPUInferenceCancelled(BaseException):
+    ...

skynet/dgpu/network.py

@@ -0,0 +1,312 @@
+#!/usr/bin/python
+
+import io
+import json
+import time
+import logging
+
+from pathlib import Path
+from functools import partial
+
+import asks
+import trio
+import anyio
+
+from PIL import Image, UnidentifiedImageError
+
+from leap.cleos import CLEOS
+from leap.sugar import Checksum256, Name, asset_from_str
+from skynet.constants import DEFAULT_IPFS_DOMAIN
+
+from skynet.ipfs import AsyncIPFSHTTP, get_ipfs_file
+from skynet.dgpu.errors import DGPUComputeError
+
+
+REQUEST_UPDATE_TIME = 3
+
+
+async def failable(fn: partial, ret_fail=None):
+    try:
+        return await fn()
+
+    except (
+        OSError,
+        json.JSONDecodeError,
+        asks.errors.RequestTimeout,
+        asks.errors.BadHttpResponse,
+        anyio.BrokenResourceError
+    ):
+        return ret_fail
+
+
+class SkynetGPUConnector:
+
+    def __init__(self, config: dict):
+        self.account = Name(config['account'])
+        self.permission = config['permission']
+        self.key = config['key']
+
+        self.node_url = config['node_url']
+        self.hyperion_url = config['hyperion_url']
+
+        self.cleos = CLEOS(
+            None, None, self.node_url, remote=self.node_url)
+
+        self.ipfs_gateway_url = None
+        if 'ipfs_gateway_url' in config:
+            self.ipfs_gateway_url = config['ipfs_gateway_url']
+        self.ipfs_url = config['ipfs_url']
+
+        self.ipfs_client = AsyncIPFSHTTP(self.ipfs_url)
+
+        self.ipfs_domain = DEFAULT_IPFS_DOMAIN
+        if 'ipfs_domain' in config:
+            self.ipfs_domain = config['ipfs_domain']
+
+        self._wip_requests = {}
+
+    # blockchain helpers
+
+    async def get_work_requests_last_hour(self):
+        logging.info('get_work_requests_last_hour')
+        return await failable(
+            partial(
+                self.cleos.aget_table,
+                'telos.gpu', 'telos.gpu', 'queue',
+                index_position=2,
+                key_type='i64',
+                lower_bound=int(time.time()) - 3600
+            ), ret_fail=[])
+
+    async def get_status_by_request_id(self, request_id: int):
+        logging.info('get_status_by_request_id')
+        return await failable(
+            partial(
+                self.cleos.aget_table,
+                'telos.gpu', request_id, 'status'), ret_fail=[])
+
+    async def get_global_config(self):
+        logging.info('get_global_config')
+        rows = await failable(
+            partial(
+                self.cleos.aget_table,
+                'telos.gpu', 'telos.gpu', 'config'))
+
+        if rows:
+            return rows[0]
+        else:
+            return None
+
+    async def get_worker_balance(self):
+        logging.info('get_worker_balance')
+        rows = await failable(
+            partial(
+                self.cleos.aget_table,
+                'telos.gpu', 'telos.gpu', 'users',
+                index_position=1,
+                key_type='name',
+                lower_bound=self.account,
+                upper_bound=self.account
+            ))
+
+        if rows:
+            return rows[0]['balance']
+        else:
+            return None
+
+    async def get_competitors_for_req(self, request_id: int) -> set:
+        competitors = [
+            status['worker']
+            for status in
+            (await self.get_status_by_request_id(request_id))
+            if status['worker'] != self.account
+        ]
+        logging.info(f'competitors: {competitors}')
+        return set(competitors)
+
+
+    async def get_full_queue_snapshot(self):
+        snap = {
+            'requests': {},
+            'my_results': []
+        }
+
+        snap['queue'] = await self.get_work_requests_last_hour()
+
+        async def _run_and_save(d, key: str, fn, *args, **kwargs):
+            d[key] = await fn(*args, **kwargs)
+
+        async with trio.open_nursery() as n:
+            n.start_soon(_run_and_save, snap, 'my_results', self.find_my_results)
+            for req in snap['queue']:
+                n.start_soon(
+                    _run_and_save, snap['requests'], req['id'], self.get_status_by_request_id, req['id'])
+
+        return snap
+
+    async def begin_work(self, request_id: int):
+        logging.info('begin_work')
+        return await failable(
+            partial(
+                self.cleos.a_push_action,
+                'telos.gpu',
+                'workbegin',
+                {
+                    'worker': self.account,
+                    'request_id': request_id,
+                    'max_workers': 2
+                },
+                self.account, self.key,
+                permission=self.permission
+            )
+        )
+
+    async def cancel_work(self, request_id: int, reason: str):
+        logging.info('cancel_work')
+        return await failable(
+            partial(
+                self.cleos.a_push_action,
+                'telos.gpu',
+                'workcancel',
+                {
+                    'worker': self.account,
+                    'request_id': request_id,
+                    'reason': reason
+                },
+                self.account, self.key,
+                permission=self.permission
+            )
+        )
+
+    async def maybe_withdraw_all(self):
+        logging.info('maybe_withdraw_all')
+        balance = await self.get_worker_balance()
+        if not balance:
+            return
+
+        balance_amount = float(balance.split(' ')[0])
+        if balance_amount > 0:
+            await failable(
+                partial(
+                    self.cleos.a_push_action,
+                    'telos.gpu',
+                    'withdraw',
+                    {
+                        'user': self.account,
+                        'quantity': asset_from_str(balance)
+                    },
+                    self.account, self.key,
+                    permission=self.permission
+                )
+            )
+
+    async def find_my_results(self):
+        logging.info('find_my_results')
+        return await failable(
+            partial(
+                self.cleos.aget_table,
+                'telos.gpu', 'telos.gpu', 'results',
+                index_position=4,
+                key_type='name',
+                lower_bound=self.account,
+                upper_bound=self.account
+            )
+        )
+
+    async def submit_work(
+        self,
+        request_id: int,
+        request_hash: str,
+        result_hash: str,
+        ipfs_hash: str
+    ):
+        logging.info('submit_work')
+        return await failable(
+            partial(
+                self.cleos.a_push_action,
+                'telos.gpu',
+                'submit',
+                {
+                    'worker': self.account,
+                    'request_id': request_id,
+                    'request_hash': Checksum256(request_hash),
+                    'result_hash': Checksum256(result_hash),
+                    'ipfs_hash': ipfs_hash
+                },
+                self.account, self.key,
+                permission=self.permission
+            )
+        )
+
+    # IPFS helpers
+    async def publish_on_ipfs(self, raw, typ: str = 'png'):
+        Path('ipfs-staging').mkdir(exist_ok=True)
+        logging.info('publish_on_ipfs')
+
+        target_file = ''
+        match typ:
+            case 'png':
+                raw: Image
+                target_file = 'ipfs-staging/image.png'
+                raw.save(target_file)
+
+            case _:
+                raise ValueError(f'Unsupported output type: {typ}')
+
+        if self.ipfs_gateway_url:
+            # check peer connections, reconnect to skynet gateway if not
+            gateway_id = Path(self.ipfs_gateway_url).name
+            peers = await self.ipfs_client.peers()
+            if gateway_id not in [p['Peer'] for p in peers]:
+                await self.ipfs_client.connect(self.ipfs_gateway_url)
+
+        file_info = await self.ipfs_client.add(Path(target_file))
+        file_cid = file_info['Hash']
+
+        await self.ipfs_client.pin(file_cid)
+
+        return file_cid
+
+    async def get_input_data(self, ipfs_hash: str) -> tuple[bytes, str]:
+        input_type = 'none'
+
+        if ipfs_hash == '':
+            return b'', input_type
+
+        results = {}
+        ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
+        ipfs_link_legacy = ipfs_link + '/image.png'
+
+        async with trio.open_nursery() as n:
+            async def get_and_set_results(link: str):
+                res = await get_ipfs_file(link, timeout=1)
+                logging.info(f'got response from {link}')
+                if not res or res.status_code != 200:
+                    logging.warning(f'couldn\'t get ipfs binary data at {link}!')
+
+                else:
+                    try:
+                        # attempt to decode as image
+                        results[link] = Image.open(io.BytesIO(res.raw))
+                        input_type = 'png'
+                        n.cancel_scope.cancel()
+
+                    except UnidentifiedImageError:
+                        logging.warning(f'couldn\'t get ipfs binary data at {link}!')
+
+            n.start_soon(
+                get_and_set_results, ipfs_link)
+            n.start_soon(
+                get_and_set_results, ipfs_link_legacy)
+
+        input_data = None
+        if ipfs_link_legacy in results:
+            input_data = results[ipfs_link_legacy]
+
+        if ipfs_link in results:
+            input_data = results[ipfs_link]
+
+        if input_data == None:
+            raise DGPUComputeError('Couldn\'t gather input data from ipfs')
+
+        return input_data, input_type

skynet/frontend/__init__.py

@@ -0,0 +1,131 @@
+#!/usr/bin/python
+
+import random
+
+from ..constants import *
+
+
+class ConfigRequestFormatError(BaseException):
+    ...
+
+class ConfigUnknownAttribute(BaseException):
+    ...
+
+class ConfigUnknownAlgorithm(BaseException):
+    ...
+
+class ConfigUnknownUpscaler(BaseException):
+    ...
+
+class ConfigUnknownAutoConfSetting(BaseException):
+    ...
+
+class ConfigSizeDivisionByEight(BaseException):
+    ...
+
+
+
+def validate_user_config_request(req: str):
+    params = req.split(' ')
+
+    if len(params) < 3:
+        raise ConfigRequestFormatError('config request format incorrect')
+
+    else:
+        try:
+            attr = params[1]
+
+            match attr:
+                case 'model' | 'algo':
+                    attr = 'model'
+                    val = params[2]
+                    shorts = [model_info['short'] for model_info in MODELS.values()]
+                    if val not in shorts:
+                        raise ConfigUnknownAlgorithm(f'no model named {val}')
+
+                    val = get_model_by_shortname(val)
+
+                case 'step':
+                    val = int(params[2])
+                    val = max(min(val, MAX_STEP), MIN_STEP)
+
+                case 'width':
+                    val = max(min(int(params[2]), MAX_WIDTH), 16)
+                    if val % 8 != 0:
+                        raise ConfigSizeDivisionByEight(
+                            'size must be divisible by 8!')
+
+                case 'height':
+                    val = max(min(int(params[2]), MAX_HEIGHT), 16)
+                    if val % 8 != 0:
+                        raise ConfigSizeDivisionByEight(
+                            'size must be divisible by 8!')
+
+                case 'seed':
+                    val = params[2]
+                    if val == 'auto':
+                        val = None
+                    else:
+                        val = int(params[2])
+
+                case 'guidance':
+                    val = float(params[2])
+                    val = max(min(val, MAX_GUIDANCE), 0)
+
+                case 'strength':
+                    val = float(params[2])
+                    val = max(min(val, 0.99), 0.01)
+
+                case 'upscaler':
+                    val = params[2]
+                    if val == 'off':
+                        val = None
+                    elif val != 'x4':
+                        raise ConfigUnknownUpscaler(
+                            f'\"{val}\" is not a valid upscaler')
+
+                case 'autoconf':
+                    val = params[2]
+                    if val == 'on':
+                        val = True
+
+                    elif val == 'off':
+                        val = False
+
+                    else:
+                        raise ConfigUnknownAutoConfSetting(
+                            f'\"{val}\" not a valid setting for autoconf')
+
+                case _:
+                    raise ConfigUnknownAttribute(
+                        f'\"{attr}\" not a configurable parameter')
+
+            display_val = val
+            if attr == 'seed':
+                if not val:
+                    display_val = 'Random'
+
+            return attr, val, f'config updated! {attr} to {display_val}'
+
+        except ValueError:
+            raise ValueError(f'\"{val}\" is not a number silly')
+
+
+def perform_auto_conf(config: dict) -> dict:
+    model = config['model']
+    prefered_size_w = 512
+    prefered_size_h = 512
+
+    if 'xl' in model:
+        prefered_size_w = 1024
+        prefered_size_h = 1024
+
+    else:
+        prefered_size_w = 512
+        prefered_size_h = 512
+
+    config['step'] = random.randint(20, 35)
+    config['width'] = prefered_size_w
+    config['height'] = prefered_size_h
+
+    return config

skynet/frontend/discord/__init__.py

@@ -0,0 +1,311 @@
+#!/usr/bin/python
+
+from json import JSONDecodeError
+import random
+import logging
+import asyncio
+
+from decimal import Decimal
+from hashlib import sha256
+from datetime import datetime
+from contextlib import ExitStack, AsyncExitStack
+from contextlib import asynccontextmanager as acm
+
+from leap.cleos import CLEOS
+from leap.sugar import Name, asset_from_str, collect_stdout
+from leap.hyperion import HyperionAPI
+# from telebot.types import InputMediaPhoto
+
+import discord
+import io
+
+from skynet.db import open_database_connection
+from skynet.ipfs import get_ipfs_file, AsyncIPFSHTTP
+from skynet.constants import *
+
+from . import *
+from .bot import DiscordBot
+
+from .utils import *
+from .handlers import create_handler_context
+from .ui import SkynetView
+
+
+class SkynetDiscordFrontend:
+
+    def __init__(
+        self,
+        # token: str,
+        account: str,
+        permission: str,
+        node_url: str,
+        hyperion_url: str,
+        db_host: str,
+        db_user: str,
+        db_pass: str,
+        ipfs_url: str,
+        remote_ipfs_node: str,
+        key: str,
+        explorer_domain: str,
+        ipfs_domain: str
+    ):
+        # self.token = token
+        self.account = account
+        self.permission = permission
+        self.node_url = node_url
+        self.hyperion_url = hyperion_url
+        self.db_host = db_host
+        self.db_user = db_user
+        self.db_pass = db_pass
+        self.ipfs_url = ipfs_url
+        self.remote_ipfs_node = remote_ipfs_node
+        self.key = key
+        self.explorer_domain = explorer_domain
+        self.ipfs_domain = ipfs_domain
+
+        self.bot = DiscordBot(self)
+        self.cleos = CLEOS(None, None, url=node_url, remote=node_url)
+        self.hyperion = HyperionAPI(hyperion_url)
+        self.ipfs_node = AsyncIPFSHTTP(ipfs_node)
+
+        self._exit_stack = ExitStack()
+        self._async_exit_stack = AsyncExitStack()
+
+    async def start(self):
+        if self.remote_ipfs_node:
+            await self.ipfs_node.connect(self.remote_ipfs_node)
+
+        self.db_call = await self._async_exit_stack.enter_async_context(
+            open_database_connection(
+                self.db_user, self.db_pass, self.db_host))
+
+        create_handler_context(self)
+
+    async def stop(self):
+        await self._async_exit_stack.aclose()
+        self._exit_stack.close()
+
+    @acm
+    async def open(self):
+        await self.start()
+        yield self
+        await self.stop()
+
+    # maybe do this?
+    # async def update_status_message(
+    #     self, status_msg, new_text: str, **kwargs
+    # ):
+    #     await self.db_call(
+    #         'update_user_request_by_sid', status_msg.id, new_text)
+    #     return await self.bot.edit_message_text(
+    #         new_text,
+    #         chat_id=status_msg.chat.id,
+    #         message_id=status_msg.id,
+    #         **kwargs
+    #     )
+
+    # async def append_status_message(
+    #     self, status_msg, add_text: str, **kwargs
+    # ):
+    #     request = await self.db_call('get_user_request_by_sid', status_msg.id)
+    #     await self.update_status_message(
+    #         status_msg,
+    #         request['status'] + add_text,
+    #         **kwargs
+    #     )
+
+    async def work_request(
+        self,
+        user,
+        status_msg,
+        method: str,
+        params: dict,
+        ctx: discord.ext.commands.context.Context | discord.Message,
+        file_id: str | None = None,
+        binary_data: str = ''
+    ) -> bool:
+        send = ctx.channel.send
+
+        if params['seed'] == None:
+            params['seed'] = random.randint(0, 0xFFFFFFFF)
+
+        sanitized_params = {}
+        for key, val in params.items():
+            if isinstance(val, Decimal):
+                val = str(val)
+
+            sanitized_params[key] = val
+
+        body = json.dumps({
+            'method': 'diffuse',
+            'params': sanitized_params
+        })
+        request_time = datetime.now().isoformat()
+
+        await status_msg.delete()
+        msg_text = f'processing a \'{method}\' request by {user.name}\n[{timestamp_pretty()}] *broadcasting transaction to chain...* '
+        embed = discord.Embed(
+            title='live updates',
+            description=msg_text,
+            color=discord.Color.blue())
+
+        message = await send(embed=embed)
+
+        reward = '20.0000 GPU'
+        res = await self.cleos.a_push_action(
+            'telos.gpu',
+            'enqueue',
+            {
+                'user': Name(self.account),
+                'request_body': body,
+                'binary_data': binary_data,
+                'reward': asset_from_str(reward),
+                'min_verification': 1
+            },
+            self.account, self.key, permission=self.permission
+        )
+
+        if 'code' in res or 'statusCode' in res:
+            logging.error(json.dumps(res, indent=4))
+            await self.bot.channel.send(
+                status_msg,
+                'skynet has suffered an internal error trying to fill this request')
+            return False
+
+        enqueue_tx_id = res['transaction_id']
+        enqueue_tx_link = f'[**Your request on Skynet Explorer**](https://{self.explorer_domain}/v2/explore/transaction/{enqueue_tx_id})'
+
+        msg_text += f'**broadcasted!** \n{enqueue_tx_link}\n[{timestamp_pretty()}] *workers are processing request...* '
+        embed = discord.Embed(
+            title='live updates',
+            description=msg_text,
+            color=discord.Color.blue())
+
+        await message.edit(embed=embed)
+
+        out = collect_stdout(res)
+
+        request_id, nonce = out.split(':')
+
+        request_hash = sha256(
+            (nonce + body + binary_data).encode('utf-8')).hexdigest().upper()
+
+        request_id = int(request_id)
+
+        logging.info(f'{request_id} enqueued.')
+
+        tx_hash = None
+        ipfs_hash = None
+        for i in range(60):
+            try:
+                submits = await self.hyperion.aget_actions(
+                    account=self.account,
+                    filter='telos.gpu:submit',
+                    sort='desc',
+                    after=request_time
+                )
+                actions = [
+                    action
+                    for action in submits['actions']
+                    if action[
+                        'act']['data']['request_hash'] == request_hash
+                ]
+                if len(actions) > 0:
+                    tx_hash = actions[0]['trx_id']
+                    data = actions[0]['act']['data']
+                    ipfs_hash = data['ipfs_hash']
+                    worker = data['worker']
+                    logging.info('Found matching submit!')
+                    break
+
+            except JSONDecodeError:
+                logging.error(f'network error while getting actions, retry..')
+
+            await asyncio.sleep(1)
+
+        if not ipfs_hash:
+
+            timeout_text = f'\n[{timestamp_pretty()}] **timeout processing request**'
+            embed = discord.Embed(
+                title='live updates',
+                description=timeout_text,
+                color=discord.Color.blue())
+
+            await message.edit(embed=embed)
+            return False
+
+        tx_link = f'[**Your result on Skynet Explorer**](https://explorer.{DEFAULT_DOMAIN}/v2/explore/transaction/{tx_hash})'
+
+        msg_text += f'**request processed!**\n{tx_link}\n[{timestamp_pretty()}] *trying to download image...*\n '
+        embed = discord.Embed(
+            title='live updates',
+            description=msg_text,
+            color=discord.Color.blue())
+
+        await message.edit(embed=embed)
+
+        # attempt to get the image and send it
+        results = {}
+        ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
+        ipfs_link_legacy = ipfs_link + '/image.png'
+
+        async def get_and_set_results(link: str):
+            res = await get_ipfs_file(link)
+            logging.info(f'got response from {link}')
+            if not res or res.status_code != 200:
+                logging.warning(f'couldn\'t get ipfs binary data at {link}!')
+
+            else:
+                try:
+                    with Image.open(io.BytesIO(res.raw)) as image:
+                        tmp_buf = io.BytesIO()
+                        image.save(tmp_buf, format='PNG')
+                        png_img = tmp_buf.getvalue()
+                        results[link] = png_img
+
+                except UnidentifiedImageError:
+                    logging.warning(f'couldn\'t get ipfs binary data at {link}!')
+
+        tasks = [
+            get_and_set_results(ipfs_link),
+            get_and_set_results(ipfs_link_legacy)
+        ]
+        await asyncio.gather(*tasks)
+
+        png_img = None
+        if ipfs_link_legacy in results:
+            png_img = results[ipfs_link_legacy]
+
+        if ipfs_link in results:
+            png_img = results[ipfs_link]
+
+        if not png_img:
+            await self.update_status_message(
+                status_msg,
+                caption,
+                reply_markup=build_redo_menu(),
+                parse_mode='HTML'
+            )
+            return True
+
+        # reword this function, may not need caption
+        caption, embed = generate_reply_caption(
+            user, params, tx_hash, worker, reward)
+
+        if not resp or resp.status_code != 200:
+            logging.error(f'couldn\'t get ipfs hosted image at {ipfs_link}!')
+            embed.add_field(name='Error', value=f'couldn\'t get ipfs hosted image [**here**]({ipfs_link})!')
+            await message.edit(embed=embed, view=SkynetView(self))
+        else:
+            logging.info(f'success! sending generated image')
+            await message.delete()
+            if file_id:  # img2img
+                embed.set_thumbnail(
+                    url='https://ipfs.skygpu.net/ipfs/' + binary_data + '/image.png')
+                embed.set_image(url=ipfs_link)
+                await send(embed=embed, view=SkynetView(self))
+            else:  # txt2img
+                embed.set_image(url=ipfs_link)
+                await send(embed=embed, view=SkynetView(self))
+
+        return True

skynet/frontend/discord/bot.py

@@ -0,0 +1,89 @@
+# import os
+import discord
+import asyncio
+# from dotenv import load_dotenv
+# from pathlib import Path
+from discord.ext import commands
+from .ui import SkynetView
+
+
+# # Auth
+# current_dir = Path(__file__).resolve().parent
+# # parent_dir = current_dir.parent
+# env_file_path = current_dir / ".env"
+# load_dotenv(dotenv_path=env_file_path)
+#
+# discordToken = os.getenv("DISCORD_TOKEN")
+
+
+# Actual Discord bot.
+class DiscordBot(commands.Bot):
+
+    def __init__(self, bot, *args, **kwargs):
+        self.bot = bot
+        intents = discord.Intents(
+            messages=True,
+            guilds=True,
+            typing=True,
+            members=True,
+            presences=True,
+            reactions=True,
+            message_content=True,
+            voice_states=True
+        )
+        super().__init__(command_prefix='/', intents=intents, *args, **kwargs)
+
+    # async def setup_hook(self):
+    #     db.poll_db.start()
+
+    async def on_ready(self):
+        print(f'{self.user.name} has connected to Discord!')
+        for guild in self.guilds:
+            for channel in guild.channels:
+                if channel.name == "skynet":
+                    await channel.send('Skynet bot online', view=SkynetView(self.bot))
+                    # intro_msg = await channel.send('Welcome to the Skynet discord bot.\nSkynet is a decentralized compute layer, focused on supporting AI paradigms. Skynet leverages blockchain technology to manage work requests and fills. We are currently featuring image generation and support 11 different models. Get started with the /help command, or just click on some buttons. Here is an example command to generate an image:\n/txt2img a big red tractor in a giant field of corn')
+                    intro_msg = await channel.send("Welcome to Skynet's Discord Bot,\n\nSkynet operates as a decentralized compute layer, offering a wide array of support for diverse AI paradigms through the use of blockchain technology. Our present focus is image generation, powered by 11 distinct models.\n\nTo begin exploring, use the '/help' command or directly interact with the provided buttons. Here is an example command to generate an image:\n\n'/txt2img a big red tractor in a giant field of corn'")
+                    await intro_msg.pin()
+
+        print("\n==============")
+        print("Logged in as")
+        print(self.user.name)
+        print(self.user.id)
+        print("==============")
+
+    async def on_message(self, message):
+        if isinstance(message.channel, discord.DMChannel):
+            return
+        elif message.channel.name != 'skynet':
+            return
+        elif message.author == self.user:
+            return
+        await self.process_commands(message)
+        # await asyncio.sleep(3)
+        # await message.channel.send('', view=SkynetView(self.bot))
+
+    async def on_command_error(self, ctx, error):
+        if isinstance(error, commands.MissingRequiredArgument):
+            await ctx.send('You missed a required argument, please try again.')
+
+    # async def on_message(self, message):
+    #     print(f"message from {message.author} what he said {message.content}")
+        # await message.channel.send(message.content)
+
+# bot=DiscordBot()
+# @bot.command(name='config', help='Responds with the configuration')
+# async def config(ctx):
+#     response = "This is the bot configuration"  # Put your bot configuration here
+#     await ctx.send(response)
+#
+# @bot.command(name='helper', help='Responds with a help')
+# async def helper(ctx):
+#     response = "This is help information" # Put your help response here
+#     await ctx.send(response)
+#
+# @bot.command(name='txt2img', help='Responds with an image')
+# async def txt2img(ctx, *, arg):
+#     response = f"This is your prompt: {arg}"
+#     await ctx.send(response)
+# bot.run(discordToken)

skynet/frontend/discord/handlers.py

@@ -0,0 +1,603 @@
+#!/usr/bin/python
+
+import io
+import json
+import logging
+
+from datetime import datetime, timedelta
+
+from PIL import Image
+# from telebot.types import CallbackQuery, Message
+
+from skynet.frontend import validate_user_config_request
+from skynet.constants import *
+from .ui import SkynetView
+
+
+def create_handler_context(frontend: 'SkynetDiscordFrontend'):
+
+    bot = frontend.bot
+    cleos = frontend.cleos
+    db_call = frontend.db_call
+    work_request = frontend.work_request
+
+    ipfs_node = frontend.ipfs_node
+
+    @bot.command(name='config', help='Responds with the configuration')
+    async def set_config(ctx):
+
+        user = ctx.author
+        try:
+            attr, val, reply_txt = validate_user_config_request(
+                ctx.message.content)
+
+            logging.info(f'user config update: {attr} to {val}')
+            await db_call('update_user_config', user.id, attr, val)
+            logging.info('done')
+
+        except BaseException as e:
+            reply_txt = str(e)
+
+        finally:
+            await ctx.reply(content=reply_txt, view=SkynetView(frontend))
+
+    bot.remove_command('help')
+    @bot.command(name='help', help='Responds with a help')
+    async def help(ctx):
+        splt_msg = ctx.message.content.split(' ')
+
+        if len(splt_msg) == 1:
+            await ctx.send(content=f'```{HELP_TEXT}```', view=SkynetView(frontend))
+
+        else:
+            param = splt_msg[1]
+            if param in HELP_TOPICS:
+                await ctx.send(content=f'```{HELP_TOPICS[param]}```', view=SkynetView(frontend))
+
+            else:
+                await ctx.send(content=f'```{HELP_UNKWNOWN_PARAM}```', view=SkynetView(frontend))
+
+    @bot.command(name='cool', help='Display a list of cool prompt words')
+    async def send_cool_words(ctx):
+        clean_cool_word = '\n'.join(CLEAN_COOL_WORDS)
+        await ctx.send(content=f'```{clean_cool_word}```', view=SkynetView(frontend))
+
+    @bot.command(name='stats', help='See user statistics' )
+    async def user_stats(ctx):
+        user = ctx.author
+
+        await db_call('get_or_create_user', user.id)
+        generated, joined, role = await db_call('get_user_stats', user.id)
+
+        stats_str = f'```generated: {generated}\n'
+        stats_str += f'joined: {joined}\n'
+        stats_str += f'role: {role}\n```'
+
+        await ctx.reply(stats_str, view=SkynetView(frontend))
+
+    @bot.command(name='donate', help='See donate info')
+    async def donation_info(ctx):
+        await ctx.reply(
+            f'```\n{DONATION_INFO}```', view=SkynetView(frontend))
+
+    @bot.command(name='txt2img', help='Responds with an image')
+    async def send_txt2img(ctx):
+
+        # grab user from ctx
+        user = ctx.author
+        user_row = await db_call('get_or_create_user', user.id)
+
+        # init new msg
+        init_msg = 'started processing txt2img request...'
+        status_msg = await ctx.send(init_msg)
+        await db_call(
+            'new_user_request', user.id, ctx.message.id, status_msg.id, status=init_msg)
+
+        prompt = ' '.join(ctx.message.content.split(' ')[1:])
+
+        if len(prompt) == 0:
+            await status_msg.edit(content=
+                'Empty text prompt ignored.'
+            )
+            await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
+            return
+
+        logging.info(f'mid: {ctx.message.id}')
+
+        user_config = {**user_row}
+        del user_config['id']
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        await db_call(
+            'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
+
+        success = await work_request(user, status_msg, 'txt2img', params, ctx)
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+    @bot.command(name='redo', help='Redo last request')
+    async def redo(ctx):
+        init_msg = 'started processing redo request...'
+        status_msg = await ctx.send(init_msg)
+        user = ctx.author
+
+        method = await db_call('get_last_method_of', user.id)
+        prompt = await db_call('get_last_prompt_of', user.id)
+
+        file_id = None
+        binary = ''
+        if method == 'img2img':
+            file_id = await db_call('get_last_file_of', user.id)
+            binary = await db_call('get_last_binary_of', user.id)
+
+        if not prompt:
+            await status_msg.edit(
+                content='no last prompt found, do a txt2img cmd first!',
+                view=SkynetView(frontend)
+            )
+            return
+
+        user_row = await db_call('get_or_create_user', user.id)
+        await db_call(
+            'new_user_request', user.id, ctx.message.id, status_msg.id, status=init_msg)
+        user_config = {**user_row}
+        del user_config['id']
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        success = await work_request(
+            user, status_msg, 'redo', params, ctx,
+            file_id=file_id,
+            binary_data=binary
+        )
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+    @bot.command(name='img2img', help='Responds with an image')
+    async def send_img2img(ctx):
+        # if isinstance(message_or_query, CallbackQuery):
+        #     query = message_or_query
+        #     message = query.message
+        #     user = query.from_user
+        #     chat = query.message.chat
+        #
+        # else:
+        #     message = message_or_query
+        #     user = message.from_user
+        #     chat = message.chat
+
+        # reply_id = None
+        # if chat.type == 'group' and chat.id == GROUP_ID:
+        #     reply_id = message.message_id
+        #
+        user = ctx.author
+        user_row = await db_call('get_or_create_user', user.id)
+
+        # init new msg
+        init_msg = 'started processing img2img request...'
+        status_msg = await ctx.send(init_msg)
+        await db_call(
+            'new_user_request', user.id, ctx.message.id, status_msg.id, status=init_msg)
+
+        if not ctx.message.content.startswith('/img2img'):
+            await ctx.reply(
+                'For image to image you need to add /img2img to the beggining of your caption'
+            )
+            return
+
+        prompt = ' '.join(ctx.message.content.split(' ')[1:])
+
+        if len(prompt) == 0:
+            await ctx.reply('Empty text prompt ignored.')
+            return
+
+        # file_id = message.photo[-1].file_id
+        # file_path = (await bot.get_file(file_id)).file_path
+        # image_raw = await bot.download_file(file_path)
+        #
+
+        file = ctx.message.attachments[-1]
+        file_id = str(file.id)
+        # file bytes
+        image_raw = await file.read()
+        with Image.open(io.BytesIO(image_raw)) as image:
+            w, h = image.size
+
+            if w > 512 or h > 512:
+                logging.warning(f'user sent img of size {image.size}')
+                image.thumbnail((512, 512))
+                logging.warning(f'resized it to {image.size}')
+
+            image_loc = 'ipfs-staging/image.png'
+            image.save(image_loc, format='PNG')
+
+            ipfs_info = await ipfs_node.add(image_loc)
+            ipfs_hash = ipfs_info['Hash']
+            await ipfs_node.pin(ipfs_hash)
+
+            logging.info(f'published input image {ipfs_hash} on ipfs')
+
+        logging.info(f'mid: {ctx.message.id}')
+
+        user_config = {**user_row}
+        del user_config['id']
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        await db_call(
+            'update_user_stats',
+            user.id,
+            'img2img',
+            last_file=file_id,
+            last_prompt=prompt,
+            last_binary=ipfs_hash
+        )
+
+        success = await work_request(
+            user, status_msg, 'img2img', params, ctx,
+            file_id=file_id,
+            binary_data=ipfs_hash
+        )
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+        
+        # TODO: DELETE BELOW
+        # user = 'testworker3'
+        # status_msg = 'status'
+        # params = {
+        #     'prompt': arg,
+        #     'seed': None,
+        #     'step': 35,
+        #     'guidance': 7.5,
+        #     'strength': 0.5,
+        #     'width': 512,
+        #     'height': 512,
+        #     'upscaler': None,
+        #     'model': 'prompthero/openjourney',
+        # }
+        #
+        # ec = await work_request(user, status_msg, 'txt2img', params, ctx)
+        # print(ec)
+
+        # if ec == 0:
+            # await db_call('increment_generated', user.id)
+
+        # response = f"This is your prompt: {arg}"
+        # await ctx.send(response)
+
+    # generic / simple handlers
+
+    # @bot.message_handler(commands=['help'])
+    # async def send_help(message):
+    #     splt_msg = message.text.split(' ')
+    #
+    #     if len(splt_msg) == 1:
+    #         await bot.reply_to(message, HELP_TEXT)
+    #
+    #     else:
+    #         param = splt_msg[1]
+    #         if param in HELP_TOPICS:
+    #             await bot.reply_to(message, HELP_TOPICS[param])
+    #
+    #         else:
+    #             await bot.reply_to(message, HELP_UNKWNOWN_PARAM)
+    #
+    # @bot.message_handler(commands=['cool'])
+    # async def send_cool_words(message):
+    #     await bot.reply_to(message, '\n'.join(COOL_WORDS))
+    #
+    # @bot.message_handler(commands=['queue'])
+    # async def queue(message):
+    #     an_hour_ago = datetime.now() - timedelta(hours=1)
+    #     queue = await cleos.aget_table(
+    #         'telos.gpu', 'telos.gpu', 'queue',
+    #         index_position=2,
+    #         key_type='i64',
+    #         sort='desc',
+    #         lower_bound=int(an_hour_ago.timestamp())
+    #     )
+    #     await bot.reply_to(
+    #         message, f'Total requests on skynet queue: {len(queue)}')
+
+
+    # @bot.message_handler(commands=['config'])
+    # async def set_config(message):
+    #     user = message.from_user.id
+    #     try:
+    #         attr, val, reply_txt = validate_user_config_request(
+    #             message.text)
+    #
+    #         logging.info(f'user config update: {attr} to {val}')
+    #         await db_call('update_user_config', user, attr, val)
+    #         logging.info('done')
+    #
+    #     except BaseException as e:
+    #         reply_txt = str(e)
+    #
+    #     finally:
+    #         await bot.reply_to(message, reply_txt)
+    #
+    # @bot.message_handler(commands=['stats'])
+    # async def user_stats(message):
+    #     user = message.from_user.id
+    #
+    #     await db_call('get_or_create_user', user)
+    #     generated, joined, role = await db_call('get_user_stats', user)
+    #
+    #     stats_str = f'generated: {generated}\n'
+    #     stats_str += f'joined: {joined}\n'
+    #     stats_str += f'role: {role}\n'
+    #
+    #     await bot.reply_to(
+    #         message, stats_str)
+    #
+    # @bot.message_handler(commands=['donate'])
+    # async def donation_info(message):
+    #     await bot.reply_to(
+    #         message, DONATION_INFO)
+    #
+    # @bot.message_handler(commands=['say'])
+    # async def say(message):
+    #     chat = message.chat
+    #     user = message.from_user
+    #
+    #     if (chat.type == 'group') or (user.id != 383385940):
+    #         return
+    #
+    #     await bot.send_message(GROUP_ID, message.text[4:])
+
+
+    # generic txt2img handler
+
+    # async def _generic_txt2img(message_or_query):
+    #     if isinstance(message_or_query, CallbackQuery):
+    #         query = message_or_query
+    #         message = query.message
+    #         user = query.from_user
+    #         chat = query.message.chat
+    #
+    #     else:
+    #         message = message_or_query
+    #         user = message.from_user
+    #         chat = message.chat
+    #
+    #     reply_id = None
+    #     if chat.type == 'group' and chat.id == GROUP_ID:
+    #         reply_id = message.message_id
+    #
+    #     user_row = await db_call('get_or_create_user', user.id)
+    #
+    #     # init new msg
+    #     init_msg = 'started processing txt2img request...'
+    #     status_msg = await bot.reply_to(message, init_msg)
+    #     await db_call(
+    #         'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
+    #
+    #     prompt = ' '.join(message.text.split(' ')[1:])
+    #
+    #     if len(prompt) == 0:
+    #         await bot.edit_message_text(
+    #             'Empty text prompt ignored.',
+    #             chat_id=status_msg.chat.id,
+    #             message_id=status_msg.id
+    #         )
+    #         await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
+    #         return
+    #
+    #     logging.info(f'mid: {message.id}')
+    #
+    #     user_config = {**user_row}
+    #     del user_config['id']
+    #
+    #     params = {
+    #         'prompt': prompt,
+    #         **user_config
+    #     }
+    #
+    #     await db_call(
+    #         'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
+    #
+    #     ec = await work_request(user, status_msg, 'txt2img', params)
+
+    #     if ec == 0:
+    #         await db_call('increment_generated', user.id)
+    #
+    #
+    # # generic img2img handler
+    #
+    # async def _generic_img2img(message_or_query):
+    #     if isinstance(message_or_query, CallbackQuery):
+    #         query = message_or_query
+    #         message = query.message
+    #         user = query.from_user
+    #         chat = query.message.chat
+    #
+    #     else:
+    #         message = message_or_query
+    #         user = message.from_user
+    #         chat = message.chat
+    #
+    #     reply_id = None
+    #     if chat.type == 'group' and chat.id == GROUP_ID:
+    #         reply_id = message.message_id
+    #
+    #     user_row = await db_call('get_or_create_user', user.id)
+    #
+    #     # init new msg
+    #     init_msg = 'started processing txt2img request...'
+    #     status_msg = await bot.reply_to(message, init_msg)
+    #     await db_call(
+    #         'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
+    #
+    #     if not message.caption.startswith('/img2img'):
+    #         await bot.reply_to(
+    #             message,
+    #             'For image to image you need to add /img2img to the beggining of your caption'
+    #         )
+    #         return
+    #
+    #     prompt = ' '.join(message.caption.split(' ')[1:])
+    #
+    #     if len(prompt) == 0:
+    #         await bot.reply_to(message, 'Empty text prompt ignored.')
+    #         return
+    #
+    #     file_id = message.photo[-1].file_id
+    #     file_path = (await bot.get_file(file_id)).file_path
+    #     image_raw = await bot.download_file(file_path)
+
+        # with Image.open(io.BytesIO(image_raw)) as image:
+        #     w, h = image.size
+        #
+        #     if w > 512 or h > 512:
+        #         logging.warning(f'user sent img of size {image.size}')
+        #         image.thumbnail((512, 512))
+        #         logging.warning(f'resized it to {image.size}')
+        #
+        #     image.save(f'ipfs-docker-staging/image.png', format='PNG')
+        #
+        #     ipfs_hash = ipfs_node.add('image.png')
+        #     ipfs_node.pin(ipfs_hash)
+        #
+        #     logging.info(f'published input image {ipfs_hash} on ipfs')
+        #
+        # logging.info(f'mid: {message.id}')
+        #
+        # user_config = {**user_row}
+        # del user_config['id']
+        #
+        # params = {
+        #     'prompt': prompt,
+        #     **user_config
+        # }
+        #
+        # await db_call(
+        #     'update_user_stats',
+        #     user.id,
+        #     'img2img',
+        #     last_file=file_id,
+        #     last_prompt=prompt,
+        #     last_binary=ipfs_hash
+        # )
+        #
+        # ec = await work_request(
+        #     user, status_msg, 'img2img', params,
+        #     file_id=file_id,
+        #     binary_data=ipfs_hash
+        # )
+        #
+        # if ec == 0:
+        #     await db_call('increment_generated', user.id)
+        #
+
+    # generic redo handler
+
+    # async def _redo(message_or_query):
+    #     is_query = False
+    #     if isinstance(message_or_query, CallbackQuery):
+    #         is_query = True
+    #         query = message_or_query
+    #         message = query.message
+    #         user = query.from_user
+    #         chat = query.message.chat
+    #
+    #     elif isinstance(message_or_query, Message):
+    #         message = message_or_query
+    #         user = message.from_user
+    #         chat = message.chat
+    #
+    #     init_msg = 'started processing redo request...'
+    #     if is_query:
+    #         status_msg = await bot.send_message(chat.id, init_msg)
+    #
+    #     else:
+    #         status_msg = await bot.reply_to(message, init_msg)
+    #
+    #     method = await db_call('get_last_method_of', user.id)
+    #     prompt = await db_call('get_last_prompt_of', user.id)
+    #
+    #     file_id = None
+    #     binary = ''
+    #     if method == 'img2img':
+    #         file_id = await db_call('get_last_file_of', user.id)
+    #         binary = await db_call('get_last_binary_of', user.id)
+    #
+    #     if not prompt:
+    #         await bot.reply_to(
+    #             message,
+    #             'no last prompt found, do a txt2img cmd first!'
+    #         )
+    #         return
+    #
+    #
+    #     user_row = await db_call('get_or_create_user', user.id)
+    #     await db_call(
+    #         'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
+    #     user_config = {**user_row}
+    #     del user_config['id']
+    #
+    #     params = {
+    #         'prompt': prompt,
+    #         **user_config
+    #     }
+    #
+    #     await work_request(
+    #         user, status_msg, 'redo', params,
+    #         file_id=file_id,
+    #         binary_data=binary
+    #     )
+
+
+    # "proxy" handlers just request routers
+
+    # @bot.message_handler(commands=['txt2img'])
+    # async def send_txt2img(message):
+    #     await _generic_txt2img(message)
+    #
+    # @bot.message_handler(func=lambda message: True, content_types=[
+    #     'photo', 'document'])
+    # async def send_img2img(message):
+    #     await _generic_img2img(message)
+    #
+    # @bot.message_handler(commands=['img2img'])
+    # async def img2img_missing_image(message):
+    #     await bot.reply_to(
+    #         message,
+    #         'seems you tried to do an img2img command without sending image'
+    #     )
+    #
+    # @bot.message_handler(commands=['redo'])
+    # async def redo(message):
+    #     await _redo(message)
+    #
+    # @bot.callback_query_handler(func=lambda call: True)
+    # async def callback_query(call):
+    #     msg = json.loads(call.data)
+    #     logging.info(call.data)
+    #     method = msg.get('method')
+    #     match method:
+    #         case 'redo':
+    #             await _redo(call)
+
+
+    # catch all handler for things we dont support
+
+    # @bot.message_handler(func=lambda message: True)
+    # async def echo_message(message):
+    #     if message.text[0] == '/':
+    #         await bot.reply_to(message, UNKNOWN_CMD_TEXT)

skynet/frontend/discord/ui.py

@@ -0,0 +1,311 @@
+import io
+import discord
+from PIL import Image
+import logging
+from skynet.constants import *
+from skynet.frontend import validate_user_config_request
+
+
+class SkynetView(discord.ui.View):
+
+    def __init__(self, bot):
+        self.bot = bot
+        super().__init__(timeout=None)
+        self.add_item(RedoButton('redo', discord.ButtonStyle.primary, self.bot))
+        self.add_item(Txt2ImgButton('txt2img', discord.ButtonStyle.primary, self.bot))
+        self.add_item(Img2ImgButton('img2img', discord.ButtonStyle.primary, self.bot))
+        self.add_item(StatsButton('stats', discord.ButtonStyle.secondary, self.bot))
+        self.add_item(DonateButton('donate', discord.ButtonStyle.secondary, self.bot))
+        self.add_item(ConfigButton('config', discord.ButtonStyle.secondary, self.bot))
+        self.add_item(HelpButton('help', discord.ButtonStyle.secondary, self.bot))
+        self.add_item(CoolButton('cool', discord.ButtonStyle.secondary, self.bot))
+
+
+class Txt2ImgButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        db_call = self.bot.db_call
+        work_request = self.bot.work_request
+        msg = await grab('Enter your prompt:', interaction)
+        # grab user from msg
+        user = msg.author
+        user_row = await db_call('get_or_create_user', user.id)
+
+        # init new msg
+        init_msg = 'started processing txt2img request...'
+        status_msg = await msg.channel.send(init_msg)
+        await db_call(
+            'new_user_request', user.id, msg.id, status_msg.id, status=init_msg)
+
+        prompt = msg.content
+
+        if len(prompt) == 0:
+            await status_msg.edit(content=
+                'Empty text prompt ignored.'
+            )
+            await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
+            return
+
+        logging.info(f'mid: {msg.id}')
+
+        user_config = {**user_row}
+        del user_config['id']
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        await db_call(
+            'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
+
+        success = await work_request(user, status_msg, 'txt2img', params, msg)
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+class Img2ImgButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        db_call = self.bot.db_call
+        work_request = self.bot.work_request
+        ipfs_node = self.bot.ipfs_node
+        msg = await grab('Attach an Image. Enter your prompt:', interaction)
+
+        user = msg.author
+        user_row = await db_call('get_or_create_user', user.id)
+
+        # init new msg
+        init_msg = 'started processing img2img request...'
+        status_msg = await msg.channel.send(init_msg)
+        await db_call(
+            'new_user_request', user.id, msg.id, status_msg.id, status=init_msg)
+
+        # if not msg.content.startswith('/img2img'):
+        #     await msg.reply(
+        #         'For image to image you need to add /img2img to the beggining of your caption'
+        #     )
+        #     return
+
+        prompt = msg.content
+
+        if len(prompt) == 0:
+            await msg.reply('Empty text prompt ignored.')
+            return
+
+        # file_id = message.photo[-1].file_id
+        # file_path = (await bot.get_file(file_id)).file_path
+        # image_raw = await bot.download_file(file_path)
+        #
+
+        file = msg.attachments[-1]
+        file_id = str(file.id)
+        # file bytes
+        image_raw = await file.read()
+        with Image.open(io.BytesIO(image_raw)) as image:
+            w, h = image.size
+
+            if w > 512 or h > 512:
+                logging.warning(f'user sent img of size {image.size}')
+                image.thumbnail((512, 512))
+                logging.warning(f'resized it to {image.size}')
+
+            image.save(f'ipfs-docker-staging/image.png', format='PNG')
+
+            ipfs_hash = ipfs_node.add('image.png')
+            ipfs_node.pin(ipfs_hash)
+
+            logging.info(f'published input image {ipfs_hash} on ipfs')
+
+        logging.info(f'mid: {msg.id}')
+
+        user_config = {**user_row}
+        del user_config['id']
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        await db_call(
+            'update_user_stats',
+            user.id,
+            'img2img',
+            last_file=file_id,
+            last_prompt=prompt,
+            last_binary=ipfs_hash
+        )
+
+        success = await work_request(
+            user, status_msg, 'img2img', params, msg,
+            file_id=file_id,
+            binary_data=ipfs_hash
+        )
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+class RedoButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        db_call = self.bot.db_call
+        work_request = self.bot.work_request
+        init_msg = 'started processing redo request...'
+        await interaction.response.send_message(init_msg)
+        status_msg = await interaction.original_response()
+        user = interaction.user
+
+        method = await db_call('get_last_method_of', user.id)
+        prompt = await db_call('get_last_prompt_of', user.id)
+
+        file_id = None
+        binary = ''
+        if method == 'img2img':
+            file_id = await db_call('get_last_file_of', user.id)
+            binary = await db_call('get_last_binary_of', user.id)
+
+        if not prompt:
+            await status_msg.edit(
+                content='no last prompt found, do a txt2img cmd first!',
+                view=SkynetView(self.bot)
+            )
+            return
+
+        user_row = await db_call('get_or_create_user', user.id)
+        await db_call(
+            'new_user_request', user.id, interaction.id, status_msg.id, status=init_msg)
+        user_config = {**user_row}
+        del user_config['id']
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+        success = await work_request(
+            user, status_msg, 'redo', params, interaction,
+            file_id=file_id,
+            binary_data=binary
+        )
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+class ConfigButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        db_call = self.bot.db_call
+        msg = await grab('What params do you want to change? (format: <param> <value>)', interaction)
+
+        user = interaction.user
+        try:
+            attr, val, reply_txt = validate_user_config_request(
+                '/config ' + msg.content)
+
+            logging.info(f'user config update: {attr} to {val}')
+            await db_call('update_user_config', user.id, attr, val)
+            logging.info('done')
+
+        except BaseException as e:
+            reply_txt = str(e)
+
+        finally:
+            await msg.reply(content=reply_txt, view=SkynetView(self.bot))
+
+
+class StatsButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        db_call = self.bot.db_call
+
+        user = interaction.user
+
+        await db_call('get_or_create_user', user.id)
+        generated, joined, role = await db_call('get_user_stats', user.id)
+
+        stats_str = f'```generated: {generated}\n'
+        stats_str += f'joined: {joined}\n'
+        stats_str += f'role: {role}\n```'
+
+        await interaction.response.send_message(
+            content=stats_str, view=SkynetView(self.bot))
+
+
+class DonateButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        await interaction.response.send_message(
+            content=f'```\n{DONATION_INFO}```',
+            view=SkynetView(self.bot))
+
+
+class CoolButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        clean_cool_word = '\n'.join(CLEAN_COOL_WORDS)
+        await interaction.response.send_message(
+            content=f'```{clean_cool_word}```',
+            view=SkynetView(self.bot))
+
+
+class HelpButton(discord.ui.Button):
+
+    def __init__(self, label: str, style: discord.ButtonStyle, bot):
+        self.bot = bot
+        super().__init__(label=label, style=style)
+
+    async def callback(self, interaction):
+        msg = await grab('What would you like help with? (a for all)', interaction)
+
+        param = msg.content
+
+        if param == 'a':
+            await msg.reply(content=f'```{HELP_TEXT}```', view=SkynetView(self.bot))
+
+        else:
+            if param in HELP_TOPICS:
+                await msg.reply(content=f'```{HELP_TOPICS[param]}```', view=SkynetView(self.bot))
+
+            else:
+                await msg.reply(content=f'```{HELP_UNKWNOWN_PARAM}```', view=SkynetView(self.bot))
+
+
+async def grab(prompt, interaction):
+    def vet(m):
+        return m.author == interaction.user and m.channel == interaction.channel
+
+    await interaction.response.send_message(prompt, ephemeral=True)
+    message = await interaction.client.wait_for('message', check=vet)
+    return message
+
+

skynet/frontend/discord/utils.py

@@ -0,0 +1,122 @@
+#!/usr/bin/python
+
+import json
+import logging
+import traceback
+
+from datetime import datetime, timezone
+
+from telebot.types import InlineKeyboardButton, InlineKeyboardMarkup
+from telebot.async_telebot import ExceptionHandler
+from telebot.formatting import hlink
+import discord
+
+from skynet.constants import *
+
+
+def timestamp_pretty():
+    return datetime.now(timezone.utc).strftime('%H:%M:%S')
+
+
+def tg_user_pretty(tguser):
+    if tguser.username:
+        return f'@{tguser.username}'
+    else:
+        return f'{tguser.first_name} id: {tguser.id}'
+
+
+class SKYExceptionHandler(ExceptionHandler):
+
+    def handle(exception):
+        traceback.print_exc()
+
+
+def build_redo_menu():
+    btn_redo = InlineKeyboardButton("Redo", callback_data=json.dumps({'method': 'redo'}))
+    inline_keyboard = InlineKeyboardMarkup()
+    inline_keyboard.add(btn_redo)
+    return inline_keyboard
+
+
+def prepare_metainfo_caption(user, worker: str, reward: str, meta: dict, embed) -> str:
+    prompt = meta["prompt"]
+    if len(prompt) > 256:
+        prompt = prompt[:256]
+    
+    gen_str = f'generated by {user.name}\n'
+    gen_str += f'performed by {worker}\n'
+    gen_str += f'reward: {reward}\n'
+
+    embed.add_field(
+        name='General Info', value=f'```{gen_str}```', inline=False)
+    # meta_str = f'__by {user.name}__\n'
+    # meta_str += f'*performed by {worker}*\n'
+    # meta_str += f'__**reward: {reward}**__\n'
+    embed.add_field(name='Prompt', value=f'```{prompt}\n```', inline=False)
+
+    # meta_str = f'`prompt:` {prompt}\n'
+
+    meta_str = f'seed: {meta["seed"]}\n'
+    meta_str += f'step: {meta["step"]}\n'
+    meta_str += f'guidance: {meta["guidance"]}\n'
+
+    if meta['strength']:
+        meta_str += f'strength: {meta["strength"]}\n'
+    meta_str += f'algo: {meta["model"]}\n'
+    if meta['upscaler']:
+        meta_str += f'upscaler: {meta["upscaler"]}\n'
+
+    embed.add_field(name='Parameters', value=f'```{meta_str}```', inline=False)
+
+    foot_str = f'Made with Skynet v{VERSION}\n'
+    foot_str += f'JOIN THE SWARM: https://discord.gg/JYM4YPMgK'
+
+    embed.set_footer(text=foot_str)
+
+    return meta_str
+
+
+def generate_reply_caption(
+    user,  # discord user
+    params: dict,
+    tx_hash: str,
+    worker: str,
+    reward: str,
+    explorer_domain: str
+):
+    explorer_link = discord.Embed(
+        title='[SKYNET Transaction Explorer]',
+        url=f'https://{explorer_domain}/v2/explore/transaction/{tx_hash}',
+        color=discord.Color.blue())
+
+    meta_info = prepare_metainfo_caption(user, worker, reward, params, explorer_link)
+
+    # why do we have this?
+    final_msg = '\n'.join([
+        'Worker finished your task!',
+        # explorer_link,
+        f'PARAMETER INFO:\n{meta_info}'
+    ])
+
+    final_msg = '\n'.join([
+        # f'***{explorer_link}***',
+        f'{meta_info}'
+    ])
+
+    logging.info(final_msg)
+
+    return final_msg, explorer_link
+
+
+async def get_global_config(cleos):
+    return (await cleos.aget_table(
+        'telos.gpu', 'telos.gpu', 'config'))[0]
+
+async def get_user_nonce(cleos, user: str):
+    return (await cleos.aget_table(
+        'telos.gpu', 'telos.gpu', 'users',
+        index_position=1,
+        key_type='name',
+        lower_bound=user,
+        upper_bound=user
+    ))[0]['nonce']

skynet/frontend/telegram/__init__.py

@@ -0,0 +1,319 @@
+#!/usr/bin/python
+
+import io
+import random
+import logging
+import asyncio
+
+from PIL import Image, UnidentifiedImageError
+from json import JSONDecodeError
+from decimal import Decimal
+from hashlib import sha256
+from datetime import datetime
+from contextlib import AsyncExitStack
+from contextlib import asynccontextmanager as acm
+
+from leap.cleos import CLEOS
+from leap.sugar import Name, asset_from_str, collect_stdout
+from leap.hyperion import HyperionAPI
+
+from telebot.types import InputMediaPhoto
+from telebot.async_telebot import AsyncTeleBot
+
+from skynet.db import open_database_connection
+from skynet.ipfs import get_ipfs_file, AsyncIPFSHTTP
+from skynet.constants import *
+
+from . import *
+
+from .utils import *
+from .handlers import create_handler_context
+
+
+class SkynetTelegramFrontend:
+
+    def __init__(
+        self,
+        token: str,
+        account: str,
+        permission: str,
+        node_url: str,
+        hyperion_url: str,
+        db_host: str,
+        db_user: str,
+        db_pass: str,
+        ipfs_node: str,
+        remote_ipfs_node: str | None,
+        key: str,
+        explorer_domain: str,
+        ipfs_domain: str
+    ):
+        self.token = token
+        self.account = account
+        self.permission = permission
+        self.node_url = node_url
+        self.hyperion_url = hyperion_url
+        self.db_host = db_host
+        self.db_user = db_user
+        self.db_pass = db_pass
+        self.remote_ipfs_node = remote_ipfs_node
+        self.key = key
+        self.explorer_domain = explorer_domain
+        self.ipfs_domain = ipfs_domain
+
+        self.bot = AsyncTeleBot(token, exception_handler=SKYExceptionHandler)
+        self.cleos = CLEOS(None, None, url=node_url, remote=node_url)
+        self.hyperion = HyperionAPI(hyperion_url)
+        self.ipfs_node = AsyncIPFSHTTP(ipfs_node)
+
+        self._async_exit_stack = AsyncExitStack()
+
+    async def start(self):
+        if self.remote_ipfs_node:
+            await self.ipfs_node.connect(self.remote_ipfs_node)
+
+        self.db_call = await self._async_exit_stack.enter_async_context(
+            open_database_connection(
+                self.db_user, self.db_pass, self.db_host))
+
+        create_handler_context(self)
+
+    async def stop(self):
+        await self._async_exit_stack.aclose()
+
+    @acm
+    async def open(self):
+        await self.start()
+        yield self
+        await self.stop()
+
+    async def update_status_message(
+        self, status_msg, new_text: str, **kwargs
+    ):
+        await self.db_call(
+            'update_user_request_by_sid', status_msg.id, new_text)
+        return await self.bot.edit_message_text(
+            new_text,
+            chat_id=status_msg.chat.id,
+            message_id=status_msg.id,
+            **kwargs
+        )
+
+    async def append_status_message(
+        self, status_msg, add_text: str, **kwargs
+    ):
+        request = await self.db_call('get_user_request_by_sid', status_msg.id)
+        await self.update_status_message(
+            status_msg,
+            request['status'] + add_text,
+            **kwargs
+        )
+
+    async def work_request(
+        self,
+        user,
+        status_msg,
+        method: str,
+        params: dict,
+        file_id: str | None = None,
+        binary_data: str = ''
+    ) -> bool:
+        if params['seed'] == None:
+            params['seed'] = random.randint(0, 0xFFFFFFFF)
+
+        sanitized_params = {}
+        for key, val in params.items():
+            if isinstance(val, Decimal):
+                val = str(val)
+
+            sanitized_params[key] = val
+
+        body = json.dumps({
+            'method': 'diffuse',
+            'params': sanitized_params
+        })
+        request_time = datetime.now().isoformat()
+
+        await self.update_status_message(
+            status_msg,
+            f'processing a \'{method}\' request by {tg_user_pretty(user)}\n'
+            f'[{timestamp_pretty()}] <i>broadcasting transaction to chain...</i>',
+            parse_mode='HTML'
+        )
+
+        reward = '20.0000 GPU'
+        res = await self.cleos.a_push_action(
+            'telos.gpu',
+            'enqueue',
+            {
+                'user': Name(self.account),
+                'request_body': body,
+                'binary_data': binary_data,
+                'reward': asset_from_str(reward),
+                'min_verification': 1
+            },
+            self.account, self.key, permission=self.permission
+        )
+
+        if 'code' in res or 'statusCode' in res:
+            logging.error(json.dumps(res, indent=4))
+            await self.update_status_message(
+                status_msg,
+                'skynet has suffered an internal error trying to fill this request')
+            return False
+
+        enqueue_tx_id = res['transaction_id']
+        enqueue_tx_link = hlink(
+            'Your request on Skynet Explorer',
+            f'https://{self.explorer_domain}/v2/explore/transaction/{enqueue_tx_id}'
+        )
+
+        await self.append_status_message(
+            status_msg,
+            f' <b>broadcasted!</b>\n'
+            f'<b>{enqueue_tx_link}</b>\n'
+            f'[{timestamp_pretty()}] <i>workers are processing request...</i>',
+            parse_mode='HTML'
+        )
+
+        out = collect_stdout(res)
+
+        request_id, nonce = out.split(':')
+
+        request_hash = sha256(
+            (nonce + body + binary_data).encode('utf-8')).hexdigest().upper()
+
+        request_id = int(request_id)
+
+        logging.info(f'{request_id} enqueued.')
+
+        tx_hash = None
+        ipfs_hash = None
+        for i in range(60):
+            try:
+                submits = await self.hyperion.aget_actions(
+                    account=self.account,
+                    filter='telos.gpu:submit',
+                    sort='desc',
+                    after=request_time
+                )
+                actions = [
+                    action
+                    for action in submits['actions']
+                    if action[
+                        'act']['data']['request_hash'] == request_hash
+                ]
+                if len(actions) > 0:
+                    tx_hash = actions[0]['trx_id']
+                    data = actions[0]['act']['data']
+                    ipfs_hash = data['ipfs_hash']
+                    worker = data['worker']
+                    logging.info('Found matching submit!')
+                    break
+
+            except JSONDecodeError:
+                logging.error(f'network error while getting actions, retry..')
+
+            await asyncio.sleep(1)
+
+        if not ipfs_hash:
+            await self.update_status_message(
+                status_msg,
+                f'\n[{timestamp_pretty()}] <b>timeout processing request</b>',
+                parse_mode='HTML'
+            )
+            return False
+
+        tx_link = hlink(
+            'Your result on Skynet Explorer',
+            f'https://{self.explorer_domain}/v2/explore/transaction/{tx_hash}'
+        )
+
+        await self.append_status_message(
+            status_msg,
+            f' <b>request processed!</b>\n'
+            f'<b>{tx_link}</b>\n'
+            f'[{timestamp_pretty()}] <i>trying to download image...</i>\n',
+            parse_mode='HTML'
+        )
+
+        caption = generate_reply_caption(
+            user, params, tx_hash, worker, reward, self.explorer_domain)
+
+        # attempt to get the image and send it
+        results = {}
+        ipfs_link = f'https://{self.ipfs_domain}/ipfs/{ipfs_hash}'
+        ipfs_link_legacy = ipfs_link + '/image.png'
+
+        async def get_and_set_results(link: str):
+            res = await get_ipfs_file(link)
+            logging.info(f'got response from {link}')
+            if not res or res.status_code != 200:
+                logging.warning(f'couldn\'t get ipfs binary data at {link}!')
+
+            else:
+                try:
+                    with Image.open(io.BytesIO(res.raw)) as image:
+                        w, h = image.size
+
+                        if w > TG_MAX_WIDTH or h > TG_MAX_HEIGHT:
+                            logging.warning(f'result is of size {image.size}')
+                            image.thumbnail((TG_MAX_WIDTH, TG_MAX_HEIGHT))
+
+                        tmp_buf = io.BytesIO()
+                        image.save(tmp_buf, format='PNG')
+                        png_img = tmp_buf.getvalue()
+
+                        results[link] = png_img
+
+                except UnidentifiedImageError:
+                    logging.warning(f'couldn\'t get ipfs binary data at {link}!')
+
+        tasks = [
+            get_and_set_results(ipfs_link),
+            get_and_set_results(ipfs_link_legacy)
+        ]
+        await asyncio.gather(*tasks)
+
+        png_img = None
+        if ipfs_link_legacy in results:
+            png_img = results[ipfs_link_legacy]
+
+        if ipfs_link in results:
+            png_img = results[ipfs_link]
+
+        if not png_img:
+            await self.update_status_message(
+                status_msg,
+                caption,
+                reply_markup=build_redo_menu(),
+                parse_mode='HTML'
+            )
+            return True
+
+        logging.info(f'success! sending generated image')
+        await self.bot.delete_message(
+            chat_id=status_msg.chat.id, message_id=status_msg.id)
+        if file_id:  # img2img
+            await self.bot.send_media_group(
+                status_msg.chat.id,
+                media=[
+                    InputMediaPhoto(file_id),
+                    InputMediaPhoto(
+                        png_img,
+                        caption=caption,
+                        parse_mode='HTML'
+                    )
+                ],
+            )
+
+        else:  # txt2img
+            await self.bot.send_photo(
+                status_msg.chat.id,
+                caption=caption,
+                photo=png_img,
+                reply_markup=build_redo_menu(),
+                parse_mode='HTML'
+            )
+
+        return True

skynet/frontend/telegram/handlers.py

@@ -0,0 +1,367 @@
+#!/usr/bin/python
+
+import io
+import json
+import logging
+
+from datetime import datetime, timedelta
+
+from PIL import Image
+from telebot.types import CallbackQuery, Message
+
+from skynet.frontend import validate_user_config_request, perform_auto_conf
+from skynet.constants import *
+
+
+def create_handler_context(frontend: 'SkynetTelegramFrontend'):
+
+    bot = frontend.bot
+    cleos = frontend.cleos
+    db_call = frontend.db_call
+    work_request = frontend.work_request
+
+    ipfs_node = frontend.ipfs_node
+
+    # generic / simple handlers
+
+    @bot.message_handler(commands=['help'])
+    async def send_help(message):
+        splt_msg = message.text.split(' ')
+
+        if len(splt_msg) == 1:
+            await bot.reply_to(message, HELP_TEXT)
+
+        else:
+            param = splt_msg[1]
+            if param in HELP_TOPICS:
+                await bot.reply_to(message, HELP_TOPICS[param])
+
+            else:
+                await bot.reply_to(message, HELP_UNKWNOWN_PARAM)
+
+    @bot.message_handler(commands=['cool'])
+    async def send_cool_words(message):
+        await bot.reply_to(message, '\n'.join(COOL_WORDS))
+
+    @bot.message_handler(commands=['queue'])
+    async def queue(message):
+        an_hour_ago = datetime.now() - timedelta(hours=1)
+        queue = await cleos.aget_table(
+            'telos.gpu', 'telos.gpu', 'queue',
+            index_position=2,
+            key_type='i64',
+            sort='desc',
+            lower_bound=int(an_hour_ago.timestamp())
+        )
+        await bot.reply_to(
+            message, f'Total requests on skynet queue: {len(queue)}')
+
+
+    @bot.message_handler(commands=['config'])
+    async def set_config(message):
+        user = message.from_user.id
+        try:
+            attr, val, reply_txt = validate_user_config_request(
+                message.text)
+
+            logging.info(f'user config update: {attr} to {val}')
+            await db_call('update_user_config', user, attr, val)
+            logging.info('done')
+
+        except BaseException as e:
+            reply_txt = str(e)
+
+        finally:
+            await bot.reply_to(message, reply_txt)
+
+    @bot.message_handler(commands=['stats'])
+    async def user_stats(message):
+        user = message.from_user.id
+
+        await db_call('get_or_create_user', user)
+        generated, joined, role = await db_call('get_user_stats', user)
+
+        stats_str = f'generated: {generated}\n'
+        stats_str += f'joined: {joined}\n'
+        stats_str += f'role: {role}\n'
+
+        await bot.reply_to(
+            message, stats_str)
+
+    @bot.message_handler(commands=['donate'])
+    async def donation_info(message):
+        await bot.reply_to(
+            message, DONATION_INFO)
+
+    @bot.message_handler(commands=['say'])
+    async def say(message):
+        chat = message.chat
+        user = message.from_user
+
+        if (chat.type == 'group') or (user.id != 383385940):
+            return
+
+        await bot.send_message(GROUP_ID, message.text[4:])
+
+
+    # generic txt2img handler
+
+    async def _generic_txt2img(message_or_query):
+        if isinstance(message_or_query, CallbackQuery):
+            query = message_or_query
+            message = query.message
+            user = query.from_user
+            chat = query.message.chat
+
+        else:
+            message = message_or_query
+            user = message.from_user
+            chat = message.chat
+
+        if chat.type == 'private':
+            return
+
+        reply_id = None
+        if chat.type == 'group' and chat.id == GROUP_ID:
+            reply_id = message.message_id
+
+        user_row = await db_call('get_or_create_user', user.id)
+
+        # init new msg
+        init_msg = 'started processing txt2img request...'
+        status_msg = await bot.reply_to(message, init_msg)
+        await db_call(
+            'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
+
+        prompt = ' '.join(message.text.split(' ')[1:])
+
+        if len(prompt) == 0:
+            await bot.edit_message_text(
+                'Empty text prompt ignored.',
+                chat_id=status_msg.chat.id,
+                message_id=status_msg.id
+            )
+            await db_call('update_user_request', status_msg.id, 'Empty text prompt ignored.')
+            return
+
+        logging.info(f'mid: {message.id}')
+
+        user_config = {**user_row}
+        del user_config['id']
+
+        if user_config['autoconf']:
+            user_config = perform_auto_conf(user_config)
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        await db_call(
+            'update_user_stats', user.id, 'txt2img', last_prompt=prompt)
+
+        success = await work_request(user, status_msg, 'txt2img', params)
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+    # generic img2img handler
+
+    async def _generic_img2img(message_or_query):
+        if isinstance(message_or_query, CallbackQuery):
+            query = message_or_query
+            message = query.message
+            user = query.from_user
+            chat = query.message.chat
+
+        else:
+            message = message_or_query
+            user = message.from_user
+            chat = message.chat
+
+        if chat.type == 'private':
+            return
+
+        reply_id = None
+        if chat.type == 'group' and chat.id == GROUP_ID:
+            reply_id = message.message_id
+
+        user_row = await db_call('get_or_create_user', user.id)
+
+        # init new msg
+        init_msg = 'started processing txt2img request...'
+        status_msg = await bot.reply_to(message, init_msg)
+        await db_call(
+            'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
+
+        if not message.caption.startswith('/img2img'):
+            await bot.reply_to(
+                message,
+                'For image to image you need to add /img2img to the beggining of your caption'
+            )
+            return
+
+        prompt = ' '.join(message.caption.split(' ')[1:])
+
+        if len(prompt) == 0:
+            await bot.reply_to(message, 'Empty text prompt ignored.')
+            return
+
+        file_id = message.photo[-1].file_id
+        file_path = (await bot.get_file(file_id)).file_path
+        image_raw = await bot.download_file(file_path)
+
+        user_config = {**user_row}
+        del user_config['id']
+        if user_config['autoconf']:
+            user_config = perform_auto_conf(user_config)
+
+        with Image.open(io.BytesIO(image_raw)) as image:
+            w, h = image.size
+
+            if w > user_config['width'] or h > user_config['height']:
+                logging.warning(f'user sent img of size {image.size}')
+                image.thumbnail(
+                    (user_config['width'], user_config['height']))
+                logging.warning(f'resized it to {image.size}')
+
+            image_loc = 'ipfs-staging/image.png'
+            image.save(image_loc, format='PNG')
+
+            ipfs_info = await ipfs_node.add(image_loc)
+            ipfs_hash = ipfs_info['Hash']
+            await ipfs_node.pin(ipfs_hash)
+
+            logging.info(f'published input image {ipfs_hash} on ipfs')
+
+        logging.info(f'mid: {message.id}')
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        await db_call(
+            'update_user_stats',
+            user.id,
+            'img2img',
+            last_file=file_id,
+            last_prompt=prompt,
+            last_binary=ipfs_hash
+        )
+
+        success = await work_request(
+            user, status_msg, 'img2img', params,
+            file_id=file_id,
+            binary_data=ipfs_hash
+        )
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+    # generic redo handler
+
+    async def _redo(message_or_query):
+        is_query = False
+        if isinstance(message_or_query, CallbackQuery):
+            is_query = True
+            query = message_or_query
+            message = query.message
+            user = query.from_user
+            chat = query.message.chat
+
+        elif isinstance(message_or_query, Message):
+            message = message_or_query
+            user = message.from_user
+            chat = message.chat
+
+        if chat.type == 'private':
+            return
+
+        init_msg = 'started processing redo request...'
+        if is_query:
+            status_msg = await bot.send_message(chat.id, init_msg)
+
+        else:
+            status_msg = await bot.reply_to(message, init_msg)
+
+        method = await db_call('get_last_method_of', user.id)
+        prompt = await db_call('get_last_prompt_of', user.id)
+
+        file_id = None
+        binary = ''
+        if method == 'img2img':
+            file_id = await db_call('get_last_file_of', user.id)
+            binary = await db_call('get_last_binary_of', user.id)
+
+        if not prompt:
+            await bot.reply_to(
+                message,
+                'no last prompt found, do a txt2img cmd first!'
+            )
+            return
+
+
+        user_row = await db_call('get_or_create_user', user.id)
+        await db_call(
+            'new_user_request', user.id, message.id, status_msg.id, status=init_msg)
+        user_config = {**user_row}
+        del user_config['id']
+        if user_config['autoconf']:
+            user_config = perform_auto_conf(user_config)
+
+        params = {
+            'prompt': prompt,
+            **user_config
+        }
+
+        success = await work_request(
+            user, status_msg, 'redo', params,
+            file_id=file_id,
+            binary_data=binary
+        )
+
+        if success:
+            await db_call('increment_generated', user.id)
+
+
+    # "proxy" handlers just request routers
+
+    @bot.message_handler(commands=['txt2img'])
+    async def send_txt2img(message):
+        await _generic_txt2img(message)
+
+    @bot.message_handler(func=lambda message: True, content_types=[
+        'photo', 'document'])
+    async def send_img2img(message):
+        await _generic_img2img(message)
+
+    @bot.message_handler(commands=['img2img'])
+    async def img2img_missing_image(message):
+        await bot.reply_to(
+            message,
+            'seems you tried to do an img2img command without sending image'
+        )
+
+    @bot.message_handler(commands=['redo'])
+    async def redo(message):
+        await _redo(message)
+
+    @bot.callback_query_handler(func=lambda call: True)
+    async def callback_query(call):
+        msg = json.loads(call.data)
+        logging.info(call.data)
+        method = msg.get('method')
+        match method:
+            case 'redo':
+                await _redo(call)
+
+
+    # catch all handler for things we dont support
+
+    @bot.message_handler(func=lambda message: True)
+    async def echo_message(message):
+        if message.text[0] == '/':
+            await bot.reply_to(message, UNKNOWN_CMD_TEXT)

skynet/frontend/telegram/utils.py

@@ -0,0 +1,107 @@
+#!/usr/bin/python
+
+import json
+import logging
+import traceback
+
+from datetime import datetime, timezone
+
+from telebot.types import InlineKeyboardButton, InlineKeyboardMarkup
+from telebot.async_telebot import ExceptionHandler
+from telebot.formatting import hlink
+
+from skynet.constants import *
+
+
+def timestamp_pretty():
+    return datetime.now(timezone.utc).strftime('%H:%M:%S')
+
+
+def tg_user_pretty(tguser):
+    if tguser.username:
+        return f'@{tguser.username}'
+    else:
+        return f'{tguser.first_name} id: {tguser.id}'
+
+
+class SKYExceptionHandler(ExceptionHandler):
+
+    def handle(exception):
+        traceback.print_exc()
+
+
+def build_redo_menu():
+    btn_redo = InlineKeyboardButton("Redo", callback_data=json.dumps({'method': 'redo'}))
+    inline_keyboard = InlineKeyboardMarkup()
+    inline_keyboard.add(btn_redo)
+    return inline_keyboard
+
+
+def prepare_metainfo_caption(tguser, worker: str, reward: str, meta: dict) -> str:
+    prompt = meta["prompt"]
+    if len(prompt) > 256:
+        prompt = prompt[:256]
+
+
+    meta_str = f'<u>by {tg_user_pretty(tguser)}</u>\n'
+    meta_str += f'<i>performed by {worker}</i>\n'
+    meta_str += f'<b><u>reward: {reward}</u></b>\n'
+
+    meta_str += f'<code>prompt:</code> {prompt}\n'
+    meta_str += f'<code>seed: {meta["seed"]}</code>\n'
+    meta_str += f'<code>step: {meta["step"]}</code>\n'
+    meta_str += f'<code>guidance: {meta["guidance"]}</code>\n'
+    if meta['strength']:
+        meta_str += f'<code>strength: {meta["strength"]}</code>\n'
+    meta_str += f'<code>algo: {meta["model"]}</code>\n'
+    if meta['upscaler']:
+        meta_str += f'<code>upscaler: {meta["upscaler"]}</code>\n'
+
+    meta_str += f'<b><u>Made with Skynet v{VERSION}</u></b>\n'
+    meta_str += f'<b>JOIN THE SWARM: @skynetgpu</b>'
+    return meta_str
+
+
+def generate_reply_caption(
+    tguser,  # telegram user
+    params: dict,
+    tx_hash: str,
+    worker: str,
+    reward: str,
+    explorer_domain: str
+):
+    explorer_link = hlink(
+        'SKYNET Transaction Explorer',
+        f'https://explorer.{explorer_domain}/v2/explore/transaction/{tx_hash}'
+    )
+
+    meta_info = prepare_metainfo_caption(tguser, worker, reward, params)
+
+    final_msg = '\n'.join([
+        'Worker finished your task!',
+        explorer_link,
+        f'PARAMETER INFO:\n{meta_info}'
+    ])
+
+    final_msg = '\n'.join([
+        f'<b><i>{explorer_link}</i></b>',
+        f'{meta_info}'
+    ])
+
+    logging.info(final_msg)
+
+    return final_msg
+
+
+async def get_global_config(cleos):
+    return (await cleos.aget_table(
+        'telos.gpu', 'telos.gpu', 'config'))[0]
+
+async def get_user_nonce(cleos, user: str):
+    return (await cleos.aget_table(
+        'telos.gpu', 'telos.gpu', 'users',
+        index_position=1,
+        key_type='name',
+        lower_bound=user,
+        upper_bound=user
+    ))[0]['nonce']

skynet/ipfs/__init__.py

@@ -0,0 +1,76 @@
+#!/usr/bin/python
+
+import logging
+from pathlib import Path
+
+import asks
+
+
+class IPFSClientException(BaseException):
+    ...
+
+
+class AsyncIPFSHTTP:
+
+    def __init__(self, endpoint: str):
+        self.endpoint = endpoint
+
+    async def _post(self, sub_url: str, *args, **kwargs):
+        resp = await asks.post(
+            self.endpoint + sub_url,
+            *args, **kwargs
+        )
+
+        if resp.status_code != 200:
+            raise IPFSClientException(resp.text)
+
+        return resp.json()
+
+    async def add(self, file_path: Path, **kwargs):
+        files = {
+            'file': file_path
+        }
+        return await self._post(
+            '/api/v0/add',
+            files=files,
+            params=kwargs
+        )
+
+    async def pin(self, cid: str):
+        return (await self._post(
+            '/api/v0/pin/add',
+            params={'arg': cid}
+        ))['Pins']
+
+    async def connect(self, multi_addr: str):
+        return await self._post(
+            '/api/v0/swarm/connect',
+            params={'arg': multi_addr}
+        )
+
+    async def peers(self, **kwargs):
+        return (await self._post(
+            '/api/v0/swarm/peers',
+            params=kwargs
+        ))['Peers']
+
+
+async def get_ipfs_file(ipfs_link: str, timeout: int = 60):
+    logging.info(f'attempting to get image at {ipfs_link}')
+    resp = None
+    for i in range(timeout):
+        try:
+            resp = await asks.get(ipfs_link, timeout=3)
+
+        except asks.errors.RequestTimeout:
+            logging.warning('timeout...')
+
+        except asks.errors.BadHttpResponse as e:
+            logging.error(f'ifps gateway exception: \n{e}')
+
+    if resp:
+        logging.info(f'status_code: {resp.status_code}')
+    else:
+        logging.error(f'timeout')
+
+    return resp

skynet/ipfs/docker.py

@@ -0,0 +1,69 @@
+#!/usr/bin/python
+
+import sys
+import logging
+
+from pathlib import Path
+from contextlib import contextmanager as cm
+
+import docker
+
+from docker.types import Mount
+
+
+@cm
+def open_ipfs_node(
+    name: str = 'skynet-ipfs',
+    teardown: bool = False,
+    peers: list[str] = []
+):
+    dclient = docker.from_env()
+
+    container = None
+    try:
+        container = dclient.containers.get(name)
+
+    except docker.errors.NotFound:
+        data_dir = Path().resolve() / 'ipfs-docker-data'
+        data_dir.mkdir(parents=True, exist_ok=True)
+
+        data_target = '/data/ipfs'
+
+        container = dclient.containers.run(
+            'ipfs/go-ipfs:latest',
+            name='skynet-ipfs',
+            ports={
+                '8080/tcp': 8080,
+                '4001/tcp': 4001,
+                '5001/tcp': ('127.0.0.1', 5001)
+            },
+            mounts=[
+                Mount(data_target, str(data_dir), 'bind')
+            ],
+            detach=True,
+            remove=True
+        )
+
+        uid, gid = 1000, 1000
+
+        if sys.platform != 'win32':
+            ec, out = container.exec_run(['chown', f'{uid}:{gid}', '-R', data_target])
+            logging.info(out)
+            assert ec == 0
+
+        for log in container.logs(stream=True):
+            log = log.decode().rstrip()
+            logging.info(log)
+            if 'Daemon is ready' in log:
+                break
+
+    for peer in peers:
+        ec, out = container.exec_run(
+            ['ipfs', 'swarm', 'connect', peer])
+        if ec != 0:
+            logging.error(out)
+
+    yield
+
+    if teardown and container:
+        container.stop()

skynet/ipfs/pinner.py

@@ -0,0 +1,128 @@
+#!/usr/bin/python
+
+import logging
+import traceback
+
+from datetime import datetime, timedelta
+
+import trio
+
+from leap.hyperion import HyperionAPI
+
+from . import AsyncIPFSHTTP
+
+
+MAX_TIME = timedelta(seconds=20)
+
+
+class SkynetPinner:
+
+    def __init__(
+        self,
+        hyperion: HyperionAPI,
+        ipfs_http: AsyncIPFSHTTP
+    ):
+        self.hyperion = hyperion
+        self.ipfs_http = ipfs_http
+
+        self._pinned = {}
+        self._now = datetime.now()
+
+    def is_pinned(self, cid: str):
+        pin_time = self._pinned.get(cid)
+        return pin_time
+
+    def pin_cids(self, cids: list[str]):
+        for cid in cids:
+            self._pinned[cid] = self._now
+
+    def cleanup_old_cids(self):
+        cids = list(self._pinned.keys())
+        for cid in cids:
+            if (self._now - self._pinned[cid]) > MAX_TIME * 2:
+                del self._pinned[cid]
+
+    async def capture_enqueues(self, after: datetime):
+        enqueues = await self.hyperion.aget_actions(
+            account='telos.gpu',
+            filter='telos.gpu:enqueue',
+            sort='desc',
+            after=after.isoformat(),
+            limit=1000
+        )
+
+        logging.info(f'got {len(enqueues["actions"])} enqueue actions.')
+
+        cids = []
+        for action in enqueues['actions']:
+            cid = action['act']['data']['binary_data']
+            if cid and not self.is_pinned(cid):
+                cids.append(cid)
+
+        return cids
+
+    async def capture_submits(self, after: datetime):
+        submits = await self.hyperion.aget_actions(
+            account='telos.gpu',
+            filter='telos.gpu:submit',
+            sort='desc',
+            after=after.isoformat(),
+            limit=1000
+        )
+
+        logging.info(f'got {len(submits["actions"])} submits actions.')
+
+        cids = []
+        for action in submits['actions']:
+            cid = action['act']['data']['ipfs_hash']
+            if cid and not self.is_pinned(cid):
+                cids.append(cid)
+
+        return cids
+
+    async def task_pin(self, cid: str):
+        logging.info(f'pinning {cid}...')
+        for _ in range(6):
+            try:
+                with trio.move_on_after(5):
+                    pins = await self.ipfs_http.pin(cid)
+                    if cid not in pins:
+                        logging.error(f'error pinning {cid}')
+                        del self._pinned[cid]
+
+                    else:
+                        logging.info(f'pinned {cid}')
+                        return
+
+            except trio.TooSlowError:
+                logging.error(f'timed out pinning {cid}')
+
+        logging.error(f'gave up pinning {cid}')
+
+    async def pin_forever(self):
+        async with trio.open_nursery() as n:
+            while True:
+                try:
+                    self._now = datetime.now()
+                    self.cleanup_old_cids()
+
+                    prev_second = self._now - MAX_TIME
+
+                    cids = [
+                        *(await self.capture_enqueues(prev_second)),
+                        *(await self.capture_submits(prev_second))
+                    ]
+
+                    self.pin_cids(cids)
+
+                    for cid in cids:
+                        n.start_soon(self.task_pin, cid)
+
+                except OSError as e:
+                    traceback.print_exc()
+
+                except KeyboardInterrupt:
+                    break
+
+                await trio.sleep(1)
+

skynet/nodeos.py

@@ -0,0 +1,145 @@
+#!/usr/bin/env python3
+
+import json
+import time
+import logging
+
+from contextlib import contextmanager as cm
+
+import docker
+
+from leap.cleos import CLEOS
+from leap.sugar import get_container, Symbol
+
+
+@cm
+def open_nodeos(cleanup: bool = True):
+    dclient = docker.from_env()
+    vtestnet = get_container(
+        dclient,
+        'guilledk/skynet:leap-4.0.1',
+        name='skynet-nodeos',
+        force_unique=True,
+        detach=True,
+        network='host')
+
+    try:
+        cleos = CLEOS(
+            dclient, vtestnet,
+            url='http://127.0.0.1:42000',
+            remote='http://127.0.0.1:42000'
+        )
+
+        cleos.start_keosd()
+
+        priv, pub = cleos.create_key_pair()
+        logging.info(f'SUDO KEYS: {(priv, pub)}')
+
+        cleos.setup_wallet(priv)
+
+        genesis = json.dumps({
+            "initial_timestamp": '2017-08-29T02:14:00.000',
+            "initial_key": pub,
+            "initial_configuration": {
+                "max_block_net_usage": 1048576,
+                "target_block_net_usage_pct": 1000,
+                "max_transaction_net_usage": 1048575,
+                "base_per_transaction_net_usage": 12,
+                "net_usage_leeway": 500,
+                "context_free_discount_net_usage_num": 20,
+                "context_free_discount_net_usage_den": 100,
+                "max_block_cpu_usage": 200000,
+                "target_block_cpu_usage_pct": 1000,
+                "max_transaction_cpu_usage": 150000,
+                "min_transaction_cpu_usage": 100,
+                "max_transaction_lifetime": 3600,
+                "deferred_trx_expiration_window": 600,
+                "max_transaction_delay": 3888000,
+                "max_inline_action_size": 4096,
+                "max_inline_action_depth": 4,
+                "max_authority_depth": 6
+            }
+        }, indent=4)
+
+        ec, out = cleos.run(
+            ['bash', '-c', f'echo \'{genesis}\' > /root/skynet.json'])
+        assert ec == 0
+
+        place_holder = 'EOS5fLreY5Zq5owBhmNJTgQaLqQ4ufzXSTpStQakEyfxNFuUEgNs1=KEY:5JnvSc6pewpHHuUHwvbJopsew6AKwiGnexwDRc2Pj2tbdw6iML9'
+        sig_provider = f'{pub}=KEY:{priv}'
+        nodeos_config_ini = '/root/nodeos/config.ini'
+        ec, out = cleos.run(
+            ['bash', '-c', f'sed -i -e \'s/{place_holder}/{sig_provider}/g\' {nodeos_config_ini}'])
+        assert ec == 0
+
+        cleos.start_nodeos_from_config(
+            nodeos_config_ini,
+            data_dir='/root/nodeos/data',
+            genesis='/root/skynet.json',
+            state_plugin=True)
+
+        time.sleep(0.5)
+        cleos.wait_blocks(1)
+        cleos.boot_sequence(token_sym=Symbol('GPU', 4))
+
+        priv, pub = cleos.create_key_pair()
+        cleos.import_key(priv)
+        cleos.private_keys['telos.gpu'] = priv
+        logging.info(f'GPU KEYS: {(priv, pub)}')
+        cleos.new_account('telos.gpu', ram=4200000, key=pub)
+
+        for i in range(1, 4):
+            priv, pub = cleos.create_key_pair()
+            cleos.import_key(priv)
+            cleos.private_keys[f'testworker{i}'] = priv
+            logging.info(f'testworker{i} KEYS: {(priv, pub)}')
+            cleos.create_account_staked(
+                'eosio', f'testworker{i}', key=pub)
+
+        priv, pub = cleos.create_key_pair()
+        cleos.import_key(priv)
+        logging.info(f'TELEGRAM KEYS: {(priv, pub)}')
+        cleos.create_account_staked(
+            'eosio', 'telegram', ram=500000, key=pub)
+
+        cleos.transfer_token(
+            'eosio', 'telegram', '1000000.0000 GPU', 'Initial testing funds')
+
+        cleos.deploy_contract_from_host(
+            'telos.gpu',
+            'tests/contracts/telos.gpu',
+            verify_hash=False,
+            create_account=False
+        )
+
+        ec, out = cleos.push_action(
+            'telos.gpu',
+            'config',
+            ['eosio.token', '4,GPU'],
+            f'telos.gpu@active'
+        )
+        assert ec == 0
+
+        ec, out = cleos.transfer_token(
+            'telegram', 'telos.gpu', '1000000.0000 GPU', 'Initial testing funds')
+        assert ec == 0
+
+        user_row = cleos.get_table(
+            'telos.gpu',
+            'telos.gpu',
+            'users',
+            index_position=1,
+            key_type='name',
+            lower_bound='telegram',
+            upper_bound='telegram'
+        )
+        assert len(user_row) == 1
+
+        yield cleos
+
+    finally:
+        # ec, out = cleos.list_all_keys()
+        # logging.info(out)
+        if cleanup:
+            vtestnet.stop()
+            vtestnet.remove()

skynet/utils.py

@@ -0,0 +1,238 @@
+#!/usr/bin/python
+
+import io
+import os
+import sys
+import time
+import random
+import logging
+
+from typing import Optional
+from pathlib import Path
+import asks
+
+import torch
+import numpy as np
+
+from PIL import Image
+from basicsr.archs.rrdbnet_arch import RRDBNet
+from diffusers import (
+    DiffusionPipeline,
+    EulerAncestralDiscreteScheduler
+)
+from realesrgan import RealESRGANer
+from huggingface_hub import login
+import trio
+
+from .constants import MODELS
+
+
+def time_ms():
+    return int(time.time() * 1000)
+
+
+def convert_from_cv2_to_image(img: np.ndarray) -> Image:
+    # return Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
+    return Image.fromarray(img)
+
+
+def convert_from_image_to_cv2(img: Image) -> np.ndarray:
+    # return cv2.cvtColor(numpy.array(img), cv2.COLOR_RGB2BGR)
+    return np.asarray(img)
+
+
+def convert_from_bytes_to_img(raw: bytes) -> Image:
+    return Image.open(io.BytesIO(raw))
+
+
+def convert_from_img_to_bytes(image: Image, fmt='PNG') -> bytes:
+    byte_arr = io.BytesIO()
+    image.save(byte_arr, format=fmt)
+    return byte_arr.getvalue()
+
+
+def crop_image(image: Image, max_w: int, max_h: int) -> Image:
+    w, h = image.size
+    if w > max_w or h > max_h:
+        image.thumbnail((max_w, max_h))
+
+    return image.convert('RGB')
+
+
+def pipeline_for(
+    model: str,
+    mem_fraction: float = 1.0,
+    image: bool = False,
+    cache_dir: str | None = None
+) -> DiffusionPipeline:
+
+    assert torch.cuda.is_available()
+    torch.cuda.empty_cache()
+    torch.backends.cuda.matmul.allow_tf32 = True
+    torch.backends.cudnn.allow_tf32 = True
+
+    # full determinism
+    # https://huggingface.co/docs/diffusers/using-diffusers/reproducibility#deterministic-algorithms
+    os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":16:8"
+
+    torch.backends.cudnn.benchmark = False
+    torch.use_deterministic_algorithms(True)
+
+    model_info = MODELS[model]
+
+    req_mem = model_info['mem']
+    mem_gb = torch.cuda.mem_get_info()[1] / (10**9)
+    mem_gb *= mem_fraction
+    over_mem = mem_gb < req_mem
+    if over_mem:
+        logging.warn(f'model requires {req_mem} but card has {mem_gb}, model will run slower..')
+
+    shortname = model_info['short']
+
+    params = {
+        'safety_checker': None,
+        'torch_dtype': torch.float16,
+        'cache_dir': cache_dir,
+        'variant': 'fp16'
+    }
+
+    match shortname:
+        case 'stable':
+            params['revision'] = 'fp16'
+
+    torch.cuda.set_per_process_memory_fraction(mem_fraction)
+
+    pipe = DiffusionPipeline.from_pretrained(
+        model, **params)
+
+    pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(
+        pipe.scheduler.config)
+
+    pipe.enable_xformers_memory_efficient_attention()
+
+    if over_mem:
+        if not image:
+            pipe.enable_vae_slicing()
+            pipe.enable_vae_tiling()
+
+        pipe.enable_model_cpu_offload()
+
+    else:
+        if sys.version_info[1] < 11:
+            # torch.compile only supported on python < 3.11
+            pipe.unet = torch.compile(
+                pipe.unet, mode='reduce-overhead', fullgraph=True)
+
+        pipe = pipe.to('cuda')
+
+    return pipe
+
+
+def txt2img(
+    hf_token: str,
+    model: str = 'prompthero/openjourney',
+    prompt: str = 'a red old tractor in a sunny wheat field',
+    output: str = 'output.png',
+    width: int = 512, height: int = 512,
+    guidance: float = 10,
+    steps: int = 28,
+    seed: Optional[int] = None
+):
+    login(token=hf_token)
+    pipe = pipeline_for(model)
+
+    seed = seed if seed else random.randint(0, 2 ** 64)
+    prompt = prompt
+    image = pipe(
+        prompt,
+        width=width,
+        height=height,
+        guidance_scale=guidance, num_inference_steps=steps,
+        generator=torch.Generator("cuda").manual_seed(seed)
+    ).images[0]
+
+    image.save(output)
+
+
+def img2img(
+    hf_token: str,
+    model: str = 'prompthero/openjourney',
+    prompt: str = 'a red old tractor in a sunny wheat field',
+    img_path: str = 'input.png',
+    output: str = 'output.png',
+    strength: float = 1.0,
+    guidance: float = 10,
+    steps: int = 28,
+    seed: Optional[int] = None
+):
+    login(token=hf_token)
+    pipe = pipeline_for(model, image=True)
+
+    with open(img_path, 'rb') as img_file:
+        input_img = convert_from_bytes_and_crop(img_file.read(), 512, 512)
+
+    seed = seed if seed else random.randint(0, 2 ** 64)
+    prompt = prompt
+    image = pipe(
+        prompt,
+        image=input_img,
+        strength=strength,
+        guidance_scale=guidance, num_inference_steps=steps,
+        generator=torch.Generator("cuda").manual_seed(seed)
+    ).images[0]
+
+    image.save(output)
+
+
+def init_upscaler(model_path: str = 'weights/RealESRGAN_x4plus.pth'):
+    return RealESRGANer(
+        scale=4,
+        model_path=model_path,
+        dni_weight=None,
+        model=RRDBNet(
+            num_in_ch=3,
+            num_out_ch=3,
+            num_feat=64,
+            num_block=23,
+            num_grow_ch=32,
+            scale=4
+        ),
+        half=True
+    )
+
+def upscale(
+    img_path: str = 'input.png',
+    output: str = 'output.png',
+    model_path: str = 'weights/RealESRGAN_x4plus.pth'
+):
+    input_img = Image.open(img_path).convert('RGB')
+
+    upscaler = init_upscaler(model_path=model_path)
+
+    up_img, _ = upscaler.enhance(
+        convert_from_image_to_cv2(input_img), outscale=4)
+
+    image = convert_from_cv2_to_image(up_img)
+    image.save(output)
+
+
+async def download_upscaler():
+    print('downloading upscaler...')
+    weights_path = Path('weights')
+    weights_path.mkdir(exist_ok=True)
+    upscaler_url = 'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth'
+    save_path = weights_path / 'RealESRGAN_x4plus.pth'
+    response = await asks.get(upscaler_url)
+    with open(save_path, 'wb') as f:
+        f.write(response.content)
+    print('done')
+
+def download_all_models(hf_token: str, hf_home: str):
+    assert torch.cuda.is_available()
+
+    trio.run(download_upscaler)
+
+    login(token=hf_token)
+    for model in MODELS:
+        print(f'DOWNLOADING {model.upper()}')
+        pipeline_for(model, cache_dir=hf_home)

skynet_bot/brain.py

@@ -1,246 +0,0 @@
-#!/usr/bin/python
-
-import json
-import uuid
-import base64
-import logging
-
-from uuid import UUID
-from functools import partial
-from collections import OrderedDict
-
-import trio
-import pynng
-import trio_asyncio
-
-from .db import *
-from .types import *
-from .constants import *
-
-
-class SkynetDGPUOffline(BaseException):
-    ...
-
-class SkynetDGPUOverloaded(BaseException):
-    ...
-
-
-async def rpc_service(sock, dgpu_bus, db_pool):
-    nodes = OrderedDict()
-    wip_reqs = {}
-    fin_reqs = {}
-
-    def are_all_workers_busy():
-        for nid, info in nodes.items():
-            if info['task'] == None:
-                return False
-
-        return True
-
-    next_worker = 0
-    def get_next_worker():
-        nonlocal next_worker
-
-        if len(nodes) == 0:
-            raise SkynetDGPUOffline
-
-        if are_all_workers_busy():
-            raise SkynetDGPUOverloaded
-
-        next_worker += 1
-
-        if next_worker >= len(nodes):
-            next_worker = 0
-
-        nid = list(nodes.keys())[next_worker]
-        return nid
-
-    async def dgpu_image_streamer():
-        nonlocal wip_reqs, fin_reqs
-        while True:
-            msg = await dgpu_bus.arecv_msg()
-            rid = UUID(bytes=msg.bytes[:16]).hex
-            img = msg.bytes[16:].hex()
-            fin_reqs[rid] = img
-            event = wip_reqs[rid]
-            event.set()
-            del wip_reqs[rid]
-
-    async def dgpu_stream_one_img(req: ImageGenRequest):
-        nonlocal wip_reqs, fin_reqs, next_worker
-        nid = get_next_worker()
-        logging.info(f'dgpu_stream_one_img {next_worker} {nid}')
-        rid = uuid.uuid4().hex
-        event = trio.Event()
-        wip_reqs[rid] = event
-
-        nodes[nid]['task'] = rid
-
-        dgpu_req = DGPUBusRequest(
-            rid=rid,
-            nid=nid,
-            task='diffuse',
-            params=req.to_dict())
-
-        logging.info(f'dgpu_bus req: {dgpu_req}')
-
-        await dgpu_bus.asend(
-            json.dumps(dgpu_req.to_dict()).encode())
-
-        await event.wait()
-
-        nodes[nid]['task'] = None
-
-        img = fin_reqs[rid]
-        del fin_reqs[rid]
-
-        logging.info(f'done streaming {img}')
-
-        return rid, img
-
-    async def handle_user_request(rpc_ctx, req):
-        try:
-            async with db_pool.acquire() as conn:
-                user = await get_or_create_user(conn, req.uid)
-
-                result = {}
-
-                match req.method:
-                    case 'txt2img':
-                        logging.info('txt2img')
-                        user_config = {**(await get_user_config(conn, user))}
-                        del user_config['id']
-                        prompt = req.params['prompt']
-                        req = ImageGenRequest(
-                            prompt=prompt,
-                            **user_config
-                        )
-                        rid, img = await dgpu_stream_one_img(req)
-                        result = {
-                            'id': rid,
-                            'img': img
-                        }
-
-                    case 'redo':
-                        logging.info('redo')
-                        user_config = await get_user_config(conn, user)
-                        prompt = await get_last_prompt_of(conn, user)
-                        req = ImageGenRequest(
-                            prompt=prompt,
-                            **user_config
-                        )
-                        rid, img = await dgpu_stream_one_img(req)
-                        result = {
-                            'id': rid,
-                            'img': img
-                        }
-
-                    case 'config':
-                        logging.info('config')
-                        if req.params['attr'] in CONFIG_ATTRS:
-                            await update_user_config(
-                                conn, user, req.params['attr'], req.params['val'])
-
-                    case 'stats':
-                        logging.info('stats')
-                        generated, joined, role = await get_user_stats(conn, user)
-
-                        result = {
-                            'generated': generated,
-                            'joined': joined.strftime(DATE_FORMAT),
-                            'role': role
-                        }
-
-                    case _:
-                        logging.warn('unknown method')
-
-        except SkynetDGPUOffline:
-            result = {
-                'error': 'skynet_dgpu_offline'
-            }
-
-        except SkynetDGPUOverloaded:
-            result = {
-                'error': 'skynet_dgpu_overloaded',
-                'nodes': len(nodes)
-            }
-
-        except BaseException as e:
-            logging.error(e)
-            raise e
-            # result = {
-            #     'error': 'skynet_internal_error'
-            # }
-
-        await rpc_ctx.asend(
-            json.dumps(
-                SkynetRPCResponse(result=result).to_dict()).encode())
-
-
-    async with trio.open_nursery() as n:
-        n.start_soon(dgpu_image_streamer)
-        while True:
-            ctx = sock.new_context()
-            msg = await ctx.arecv_msg()
-            content = msg.bytes.decode()
-            req = SkynetRPCRequest(**json.loads(content))
-
-            logging.info(req)
-
-            if req.method == 'dgpu_online':
-                nodes[req.uid] = {
-                    'task': None
-                }
-                logging.info(f'dgpu online: {req.uid}')
-
-
-            elif req.method == 'dgpu_offline':
-                i = nodes.values().index(req.uid)
-                del nodes[req.uid]
-
-                if i < next_worker:
-                    next_worker -= 1
-                logging.info(f'dgpu offline: {req.uid}')
-
-            else:
-                n.start_soon(
-                    handle_user_request, ctx, req)
-                continue
-
-            await ctx.asend(
-                json.dumps(
-                    SkynetRPCResponse(
-                        result={'ok': {}}).to_dict()).encode())
-
-
-async def run_skynet(
-    db_user: str,
-    db_pass: str,
-    db_host: str = DB_HOST,
-    rpc_address: str = DEFAULT_RPC_ADDR,
-    dgpu_address: str = DEFAULT_DGPU_ADDR,
-    task_status = trio.TASK_STATUS_IGNORED
-):
-    logging.basicConfig(level=logging.INFO)
-    logging.info('skynet is starting')
-
-    async with (
-        trio.open_nursery() as n,
-        open_database_connection(
-            db_user, db_pass, db_host) as db_pool
-    ):
-        logging.info('connected to db.')
-        with (
-            pynng.Rep0(listen=rpc_address) as rpc_sock,
-            pynng.Bus0(listen=dgpu_address) as dgpu_bus
-        ):
-            n.start_soon(
-                rpc_service, rpc_sock, dgpu_bus, db_pool)
-            task_status.started()
-
-            try:
-                await trio.sleep_forever()
-
-            except KeyboardInterrupt:
-                ...
-

skynet_bot/constants.py

@@ -1,129 +0,0 @@
-#!/usr/bin/python
-
-API_TOKEN = '5880619053:AAFge2UfObw1kCn9Kb7AAyqaIHs_HgM0Fx0'
-
-DB_HOST = 'ancap.tech:34508'
-
-ALGOS = {
-    'stable': 'runwayml/stable-diffusion-v1-5',
-    'midj': 'prompthero/openjourney',
-    'hdanime': 'Linaqruf/anything-v3.0',
-    'waifu': 'hakurei/waifu-diffusion',
-    'ghibli': 'nitrosocke/Ghibli-Diffusion',
-    'van-gogh': 'dallinmackay/Van-Gogh-diffusion',
-    'pokemon': 'lambdalabs/sd-pokemon-diffusers',
-    'ink': 'Envvi/Inkpunk-Diffusion',
-    'robot': 'nousr/robo-diffusion'
-}
-
-N = '\n'
-HELP_TEXT = f'''
-test art bot v0.1a4
-
-commands work on a user per user basis!
-config is individual to each user!
-
-/txt2img TEXT - request an image based on a prompt
-
-/redo - re ont
-
-/help step - get info on step config option
-/help guidance - get info on guidance config option
-
-/cool - list of cool words to use
-/stats - user statistics
-/donate - see donation info
-
-/config algo NAME - select AI to use one of:
-
-{N.join(ALGOS.keys())}
-
-/config step NUMBER - set amount of iterations
-/config seed NUMBER - set the seed, deterministic results!
-/config size WIDTH HEIGHT - set size in pixels
-/config guidance NUMBER - prompt text importance
-'''
-
-UNKNOWN_CMD_TEXT = 'unknown command! try sending \"/help\"'
-
-DONATION_INFO = '0xf95335682DF281FFaB7E104EB87B69625d9622B6\ngoal: 25/650usd'
-
-COOL_WORDS = [
-    'cyberpunk',
-    'soviet propaganda poster',
-    'rastafari',
-    'cannabis',
-    'art deco',
-    'H R Giger Necronom IV',
-    'dimethyltryptamine',
-    'lysergic',
-    'slut',
-    'psilocybin',
-    'trippy',
-    'lucy in the sky with diamonds',
-    'fractal',
-    'da vinci',
-    'pencil illustration',
-    'blueprint',
-    'internal diagram',
-    'baroque',
-    'the last judgment',
-    'michelangelo'
-]
-
-HELP_STEP = '''
-diffusion models are iterative processes – a repeated cycle that starts with a\
- random noise generated from text input. With each step, some noise is removed\
-, resulting in a higher-quality image over time. The repetition stops when the\
- desired number of steps completes.
-
-around 25 sampling steps are usually enough to achieve high-quality images. Us\
-ing more may produce a slightly different picture, but not necessarily better \
-quality.
-'''
-
-HELP_GUIDANCE = '''
-the guidance scale is a parameter that controls how much the image generation\
- process follows the text prompt. The higher the value, the more image sticks\
- to a given text input.
-'''
-
-HELP_UNKWNOWN_PARAM = 'don\'t have any info on that.'
-
-GROUP_ID = -1001541979235
-
-MP_ENABLED_ROLES = ['god']
-
-MIN_STEP = 1
-MAX_STEP = 100
-MAX_WIDTH = 512
-MAX_HEIGHT = 656
-MAX_GUIDANCE = 20
-
-DEFAULT_SEED = None
-DEFAULT_WIDTH = 512
-DEFAULT_HEIGHT = 512
-DEFAULT_GUIDANCE = 7.5
-DEFAULT_STEP = 35
-DEFAULT_CREDITS = 10
-DEFAULT_ALGO = 'midj'
-DEFAULT_ROLE = 'pleb'
-DEFAULT_UPSCALER = None
-
-DEFAULT_RPC_ADDR = 'tcp://127.0.0.1:41000'
-
-DEFAULT_DGPU_ADDR = 'tcp://127.0.0.1:41069'
-DEFAULT_DGPU_MAX_TASKS = 3
-DEFAULT_INITAL_ALGOS = ['midj', 'stable', 'ink']
-
-DATE_FORMAT = '%B the %dth %Y, %H:%M:%S'
-
-CONFIG_ATTRS = [
-    'algo',
-    'step',
-    'width',
-    'height',
-    'seed',
-    'guidance',
-    'upscaler'
-]

skynet_bot/db.py

@@ -1,146 +0,0 @@
-#!/usr/bin/python
-
-import logging
-
-from datetime import datetime
-from contextlib import asynccontextmanager as acm
-
-import trio
-import triopg
-
-from .constants import *
-
-
-def try_decode_uid(uid: str):
-    try:
-        proto, uid = uid.split('+')
-        uid = int(uid)
-        return proto, uid
-
-    except ValueError:
-        logging.warning(f'got non numeric uid?: {uid}')
-        return None, None
-
-
-@acm
-async def open_database_connection(
-    db_user: str,
-    db_pass: str,
-    db_host: str = DB_HOST,
-):
-    async with triopg.create_pool(
-        dsn=f'postgres://{db_user}:{db_pass}@{db_host}/skynet_art_bot'
-    ) as conn:
-        yield conn
-
-
-async def get_user(conn, uid: str):
-    if isinstance(uid, str):
-        proto, uid = try_decode_uid(uid)
-
-        match proto:
-            case 'tg':
-                stmt = await conn.prepare(
-                    'SELECT * FROM skynet.user WHERE tg_id = $1')
-                user = await stmt.fetchval(uid)
-
-            case _:
-                user = None
-
-        return user
-
-    else:  # asumme is our uid
-        stmt = await conn.prepare(
-            'SELECT * FROM skynet.user WHERE id = $1')
-        return await stmt.fetchval(uid)
-
-
-async def get_user_config(conn, user: int):
-    stmt = await conn.prepare(
-        'SELECT * FROM skynet.user_config WHERE id = $1')
-    return (await stmt.fetch(user))[0]
-
-
-async def get_last_prompt_of(conn, user: int):
-    stms = await conn.prepare(
-        'SELECT last_prompt FROM skynet.user WHERE id = $1')
-    return await stmt.fetchval(user)
-
-
-async def new_user(conn, uid: str):
-    if await get_user(conn, uid):
-        raise ValueError('User already present on db')
-
-    logging.info(f'new user! {uid}')
-
-    tg_id = None
-    date = datetime.utcnow()
-
-    proto, pid = try_decode_uid(uid)
-
-    match proto:
-        case 'tg':
-            tg_id = pid
-
-    async with conn.transaction():
-        stmt = await conn.prepare('''
-            INSERT INTO skynet.user(
-                tg_id, generated, joined, last_prompt, role)
-
-            VALUES($1, $2, $3, $4, $5)
-        ''')
-        await stmt.fetch(
-            tg_id, 0, date, None, DEFAULT_ROLE
-        )
-
-        new_uid = await get_user(conn, uid)
-
-        stmt = await conn.prepare('''
-            INSERT INTO skynet.user_config(
-                id, algo, step, width, height, seed, guidance, upscaler)
-
-            VALUES($1, $2, $3, $4, $5, $6, $7, $8)
-        ''')
-        user = await stmt.fetch(
-            new_uid,
-            DEFAULT_ALGO,
-            DEFAULT_STEP,
-            DEFAULT_WIDTH,
-            DEFAULT_HEIGHT,
-            DEFAULT_SEED,
-            DEFAULT_GUIDANCE,
-            DEFAULT_UPSCALER
-        )
-
-    return new_uid
-
-
-async def get_or_create_user(conn, uid: str):
-    user = await get_user(conn, uid)
-
-    if not user:
-        user = await new_user(conn, uid)
-
-    return user
-
-async def update_user(conn, user: int, attr: str, val):
-    ...
-
-async def update_user_config(conn, user: int, attr: str, val):
-    stmt = await conn.prepare(f'''
-        UPDATE skynet.user_config
-        SET {attr} = $2
-        WHERE id = $1
-    ''')
-    await stmt.fetch(user, val)
-
-
-async def get_user_stats(conn, user: int):
-    stmt = await conn.prepare('''
-        SELECT generated,joined,role FROM skynet.user
-        WHERE id = $1
-    ''')
-    records = await stmt.fetch(user)
-    assert len(records) == 1
-    record = records[0]
-    return record

skynet_bot/dgpu.py

@@ -1,121 +0,0 @@
-#!/usr/bin/python
-
-import trio
-import json
-import uuid
-import logging
-
-import pynng
-import tractor
-
-from . import gpu
-from .gpu import open_gpu_worker
-from .types import *
-from .constants import *
-from .frontend import rpc_call
-
-
-async def open_dgpu_node(
-    rpc_address: str = DEFAULT_RPC_ADDR,
-    dgpu_address: str = DEFAULT_DGPU_ADDR,
-    dgpu_max_tasks: int = DEFAULT_DGPU_MAX_TASKS,
-    initial_algos: str = DEFAULT_INITAL_ALGOS
-):
-    logging.basicConfig(level=logging.INFO)
-
-    name = uuid.uuid4()
-    workers = initial_algos.copy()
-    tasks = [None for _ in range(dgpu_max_tasks)]
-
-    portal_map: dict[int, tractor.Portal]
-    contexts: dict[int, tractor.Context]
-
-    def get_next_worker(need_algo: str):
-        nonlocal workers, tasks
-        for task, algo in zip(workers, tasks):
-            if need_algo == algo and not task:
-                return workers.index(need_algo)
-
-        return tasks.index(None)
-
-    async def gpu_streamer(
-        ctx: tractor.Context,
-        nid: int
-    ):
-        nonlocal tasks
-        async with ctx.open_stream() as stream:
-            async for img in stream:
-                tasks[nid]['res'] = img
-                tasks[nid]['event'].set()
-
-    async def gpu_compute_one(ireq: ImageGenRequest):
-        wid = get_next_worker(ireq.algo)
-        event = trio.Event()
-
-        workers[wid] = ireq.algo
-        tasks[wid] = {
-            'res': None, 'event': event}
-
-        await contexts[i].send(ireq)
-
-        await event.wait()
-
-        img = tasks[wid]['res']
-        tasks[wid] = None
-        return img
-
-
-    with (
-        pynng.Req0(dial=rpc_address) as rpc_sock,
-        pynng.Bus0(dial=dgpu_address) as dgpu_sock
-    ):
-        async def _rpc_call(*args, **kwargs):
-            return await rpc_call(rpc_sock, *args, **kwargs)
-
-        async def _process_dgpu_req(req: DGPUBusRequest):
-            img = await gpu_compute_one(
-                ImageGenRequest(**req.params))
-            await dgpu_sock.asend(
-                bytes.fromhex(req.rid) + img)
-
-        res = await _rpc_call(
-            name.hex, 'dgpu_online', {'max_tasks': dgpu_max_tasks})
-        logging.info(res)
-        assert 'ok' in res.result
-
-        async with (
-            tractor.open_actor_cluster(
-                modules=['skynet_bot.gpu'],
-                count=dgpu_max_tasks,
-                names=[i for i in range(dgpu_max_tasks)]
-                ) as portal_map,
-            trio.open_nursery() as n
-        ):
-            logging.info(f'starting {dgpu_max_tasks} gpu workers')
-            async with tractor.gather_contexts((
-                ctx.open_context(
-                    open_gpu_worker, algo, 1.0 / dgpu_max_tasks)
-            )) as contexts:
-                contexts = {i: ctx for i, ctx in enumerate(contexts)}
-                for i, ctx in contexts.items():
-                    n.start_soon(
-                        gpu_streamer, ctx, i)
-                try:
-                    while True:
-                        msg = await dgpu_sock.arecv()
-                        req = DGPUBusRequest(
-                            **json.loads(msg.decode()))
-
-                        if req.nid != name.hex:
-                            continue
-
-                        logging.info(f'dgpu: {name}, req: {req}')
-                        n.start_soon(
-                            _process_dgpu_req, req)
-
-                except KeyboardInterrupt:
-                    ...
-
-        res = await _rpc_call(name.hex, 'dgpu_offline')
-        logging.info(res)
-        assert 'ok' in res.result

skynet_bot/frontend/__init__.py

@@ -1,50 +0,0 @@
-#!/usr/bin/python
-
-import json
-
-from typing import Union
-from contextlib import contextmanager as cm
-
-import pynng
-
-from ..types import SkynetRPCRequest, SkynetRPCResponse
-from ..constants import DEFAULT_RPC_ADDR
-
-
-class ConfigUnknownAttribute(BaseException):
-    ...
-
-class ConfigUnknownAlgorithm(BaseException):
-    ...
-
-class ConfigUnknownUpscaler(BaseException):
-    ...
-
-class ConfigSizeDivisionByEight(BaseException):
-    ...
-
-
-async def rpc_call(
-    sock,
-    uid: Union[int, str],
-    method: str,
-    params: dict = {}
-):
-    req = SkynetRPCRequest(
-        uid=uid,
-        method=method,
-        params=params
-    )
-    await sock.asend(
-        json.dumps(
-            req.to_dict()).encode())
-
-    return SkynetRPCResponse(
-        **json.loads(
-            (await sock.arecv_msg()).bytes.decode()))
-
-
-@cm
-def open_skynet_rpc(rpc_address: str = DEFAULT_RPC_ADDR):
-    with pynng.Req0(dial=rpc_address) as rpc_sock:
-        yield rpc_sock

skynet_bot/frontend/telegram.py

@@ -1,164 +0,0 @@
-#!/usr/bin/python
-
-import logging
-
-from datetime import datetime
-
-import pynng
-
-from telebot.async_telebot import AsyncTeleBot
-from trio_asyncio import aio_as_trio
-
-from ..constants import *
-
-from . import *
-
-
-PREFIX = 'tg'
-
-
-async def run_skynet_telegram(tg_token: str):
-
-    logging.basicConfig(level=logging.INFO)
-    bot = AsyncTeleBot(tg_token)
-
-    with open_skynet_rpc() as rpc_sock:
-
-        async def _rpc_call(
-            uid: int,
-            method: str,
-            params: dict
-        ):
-            return await rpc_call(
-                rpc_sock, f'{PREFIX}+{uid}', method, params)
-
-        @bot.message_handler(commands=['help'])
-        async def send_help(message):
-            await bot.reply_to(message, HELP_TEXT)
-
-        @bot.message_handler(commands=['cool'])
-        async def send_cool_words(message):
-            await bot.reply_to(message, '\n'.join(COOL_WORDS))
-
-        @bot.message_handler(commands=['txt2img'])
-        async def send_txt2img(message):
-            resp = await _rpc_call(
-                message.from_user.id,
-                'txt2img',
-                {}
-            )
-
-        @bot.message_handler(commands=['redo'])
-        async def redo_txt2img(message):
-            resp = await _rpc_call(
-                message.from_user.id,
-                'redo',
-                {}
-            )
-
-        @bot.message_handler(commands=['config'])
-        async def set_config(message):
-            params = message.text.split(' ')
-
-            rpc_params = {}
-
-            if len(params) < 3:
-                bot.reply_to(message, 'wrong msg format')
-
-            else:
-
-                try:
-                    attr = params[1]
-
-                    if attr == 'algo':
-                        val = params[2]
-                        if val not in ALGOS:
-                            raise ConfigUnknownAlgorithm
-
-                    elif attr == 'step':
-                        val = int(params[2])
-                        val = max(min(val, MAX_STEP), MIN_STEP)
-
-                    elif attr  == 'width':
-                        val = max(min(int(params[2]), MAX_WIDTH), 16)
-                        if val % 8 != 0:
-                            raise ConfigSizeDivisionByEight
-
-                    elif attr  == 'height':
-                        val = max(min(int(params[2]), MAX_HEIGHT), 16)
-                        if val % 8 != 0:
-                            raise ConfigSizeDivisionByEight
-
-                    elif attr == 'seed':
-                        val = params[2]
-                        if val == 'auto':
-                            val = None
-                        else:
-                            val = int(params[2])
-
-                    elif attr == 'guidance':
-                        val = float(params[2])
-                        val = max(min(val, MAX_GUIDANCE), 0)
-
-                    elif attr == 'upscaler':
-                        val = params[2]
-                        if val == 'off':
-                            val = None
-                        elif val != 'x4':
-                            raise ConfigUnknownUpscaler
-
-                    else:
-                        raise ConfigUnknownAttribute
-
-                    resp = await _rpc_call(
-                        message.from_user.id,
-                        'config', {'attr': attr, 'val': val})
-
-                    reply_txt = f'config updated! {attr} to {val}'
-
-                except ConfigUnknownAlgorithm:
-                    reply_txt = f'no algo named {val}'
-
-                except ConfigUnknownAttribute:
-                    reply_txt = f'\"{attr}\" not a configurable parameter'
-
-                except ConfigUnknownUpscaler:
-                    reply_txt = f'\"{val}\" is not a valid upscaler'
-
-                except ConfigSizeDivisionByEight:
-                    reply_txt = 'size must be divisible by 8!'
-
-                except ValueError:
-                    reply_txt = f'\"{val}\" is not a number silly'
-
-                await bot.reply_to(message, reply_txt)
-
-        @bot.message_handler(commands=['stats'])
-        async def user_stats(message):
-            resp = await _rpc_call(
-                message.from_user.id,
-                'stats',
-                {}
-            )
-            stats = resp.result
-
-            stats_str = f'generated: {stats["generated"]}\n'
-            stats_str += f'joined: {stats["joined"]}\n'
-            stats_str += f'role: {stats["role"]}\n'
-
-            await bot.reply_to(
-                message, stats_str)
-
-        @bot.message_handler(commands=['donate'])
-        async def donation_info(message):
-            await bot.reply_to(
-                message, DONATION_INFO)
-
-
-        @bot.message_handler(func=lambda message: True)
-        async def echo_message(message):
-            if message.text[0] == '/':
-                await bot.reply_to(message, UNKNOWN_CMD_TEXT)
-
-
-        await aio_as_trio(bot.infinity_polling())

skynet_bot/gpu.py

@@ -1,75 +0,0 @@
-#!/usr/bin/python
-
-import io
-import random
-import logging
-
-import torch
-import tractor
-
-from diffusers import (
-    StableDiffusionPipeline,
-    EulerAncestralDiscreteScheduler
-)
-
-from .types import ImageGenRequest
-from .constants import ALGOS
-
-
-def pipeline_for(algo: str, mem_fraction: float):
-    assert torch.cuda.is_available()
-    torch.cuda.empty_cache()
-    torch.cuda.set_per_process_memory_fraction(mem_fraction)
-    torch.backends.cuda.matmul.allow_tf32 = True
-    torch.backends.cudnn.allow_tf32 = True
-
-    params = {
-        'torch_dtype': torch.float16,
-        'safety_checker': None
-    }
-
-    if algo == 'stable':
-        params['revision'] = 'fp16'
-
-    pipe = StableDiffusionPipeline.from_pretrained(
-        ALGOS[algo], **params)
-
-    pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(
-        pipe.scheduler.config)
-
-    return pipe.to("cuda")
-
-@tractor.context
-async def open_gpu_worker(
-    ctx: tractor.Context,
-    start_algo: str,
-    mem_fraction: float
-):
-    current_algo = start_algo
-    with torch.no_grad():
-        pipe = pipeline_for(current_algo, mem_fraction)
-        await ctx.started()
-
-        async with ctx.open_stream() as bus:
-            async for ireq in bus:
-                if ireq.algo != current_algo:
-                    current_algo = ireq.algo
-                    pipe = pipeline_for(current_algo, mem_fraction)
-
-                seed = ireq.seed if ireq.seed else random.randint(0, 2 ** 64)
-                image = pipe(
-                    ireq.prompt,
-                    width=ireq.width,
-                    height=ireq.height,
-                    guidance_scale=ireq.guidance,
-                    num_inference_steps=ireq.step,
-                    generator=torch.Generator("cuda").manual_seed(seed)
-                ).images[0]
-
-                torch.cuda.empty_cache()
-
-                # convert PIL.Image to BytesIO
-                img_bytes = io.BytesIO()
-                image.save(img_bytes, format='PNG')
-                await bus.send(img_bytes.getvalue())
-

skynet_bot/types.py

@@ -1,109 +0,0 @@
-# piker: trading gear for hackers
-# Copyright (C) Guillermo Rodriguez (in stewardship for piker0)
-
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU Affero General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-
-# This program 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 Affero General Public License for more details.
-
-# You should have received a copy of the GNU Affero General Public License
-# along with this program.  If not, see <https://www.gnu.org/licenses/>.
-
-"""
-Built-in (extension) types.
-"""
-import sys
-from typing import Optional, Union
-from pprint import pformat
-
-import msgspec
-
-
-class Struct(
-    msgspec.Struct,
-
-    # https://jcristharif.com/msgspec/structs.html#tagged-unions
-    # tag='pikerstruct',
-    # tag=True,
-):
-    '''
-    A "human friendlier" (aka repl buddy) struct subtype.
-    '''
-    def to_dict(self) -> dict:
-        return {
-            f: getattr(self, f)
-            for f in self.__struct_fields__
-        }
-
-    def __repr__(self):
-        # only turn on pprint when we detect a python REPL
-        # at runtime B)
-        if (
-            hasattr(sys, 'ps1')
-            # TODO: check if we're in pdb
-        ):
-            return self.pformat()
-
-        return super().__repr__()
-
-    def pformat(self) -> str:
-        return f'Struct({pformat(self.to_dict())})'
-
-    def copy(
-        self,
-        update: Optional[dict] = None,
-
-    ) -> msgspec.Struct:
-        '''
-        Validate-typecast all self defined fields, return a copy of us
-        with all such fields.
-        This is kinda like the default behaviour in `pydantic.BaseModel`.
-        '''
-        if update:
-            for k, v in update.items():
-                setattr(self, k, v)
-
-        # roundtrip serialize to validate
-        return msgspec.msgpack.Decoder(
-            type=type(self)
-        ).decode(
-            msgspec.msgpack.Encoder().encode(self)
-        )
-
-    def typecast(
-        self,
-        # fields: Optional[list[str]] = None,
-    ) -> None:
-        for fname, ftype in self.__annotations__.items():
-            setattr(self, fname, ftype(getattr(self, fname)))
-
-# proto
-
-class SkynetRPCRequest(Struct):
-    uid: Union[str, int]  # user unique id
-    method: str  # rpc method name
-    params: dict  # variable params
-
-class SkynetRPCResponse(Struct):
-    result: dict
-
-class ImageGenRequest(Struct):
-    prompt: str
-    step: int
-    width: int
-    height: int
-    guidance: int
-    seed: Optional[int]
-    algo: str
-    upscaler: Optional[str]
-
-class DGPUBusRequest(Struct):
-    rid: str  # req id
-    nid: str  # node id
-    task: str
-    params: dict

test.sh

@@ -1,8 +0,0 @@
-docker run \
-    -it \
-    --rm \
-    --mount type=bind,source="$(pwd)",target=/skynet \
-    skynet:runtime-cuda \
-    bash -c \
-        "cd /skynet && pip install -e . && \
-        pytest tests/test_dgpu.py --log-cli-level=info"

tests/conftest.py

@@ -0,0 +1,24 @@
+#!/usr/bin/python
+
+import pytest
+
+from skynet.db import open_new_database
+from skynet.ipfs import AsyncIPFSHTTP
+from skynet.ipfs.docker import open_ipfs_node
+from skynet.nodeos import open_nodeos
+
+
+@pytest.fixture(scope='session')
+def ipfs_client():
+    with open_ipfs_node(teardown=True):
+        yield AsyncIPFSHTTP('http://127.0.0.1:5001')
+
+@pytest.fixture(scope='session')
+def postgres_db():
+    with open_new_database() as db_params:
+        yield db_params
+
+@pytest.fixture(scope='session')
+def cleos():
+    with open_nodeos() as cli:
+        yield cli

tests/contracts/telos.gpu/telos.gpu.abi

@@ -0,0 +1,416 @@
+{
+    "____comment": "This file was generated with eosio-abigen. DO NOT EDIT ",
+    "version": "eosio::abi/1.2",
+    "types": [],
+    "structs": [
+        {
+            "name": "account",
+            "base": "",
+            "fields": [
+                {
+                    "name": "user",
+                    "type": "name"
+                },
+                {
+                    "name": "balance",
+                    "type": "asset"
+                },
+                {
+                    "name": "nonce",
+                    "type": "uint64"
+                }
+            ]
+        },
+        {
+            "name": "card",
+            "base": "",
+            "fields": [
+                {
+                    "name": "id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "owner",
+                    "type": "name"
+                },
+                {
+                    "name": "card_name",
+                    "type": "string"
+                },
+                {
+                    "name": "version",
+                    "type": "string"
+                },
+                {
+                    "name": "total_memory",
+                    "type": "uint64"
+                },
+                {
+                    "name": "mp_count",
+                    "type": "uint32"
+                },
+                {
+                    "name": "extra",
+                    "type": "string"
+                }
+            ]
+        },
+        {
+            "name": "clean",
+            "base": "",
+            "fields": []
+        },
+        {
+            "name": "config",
+            "base": "",
+            "fields": [
+                {
+                    "name": "token_contract",
+                    "type": "name"
+                },
+                {
+                    "name": "token_symbol",
+                    "type": "symbol"
+                }
+            ]
+        },
+        {
+            "name": "dequeue",
+            "base": "",
+            "fields": [
+                {
+                    "name": "user",
+                    "type": "name"
+                },
+                {
+                    "name": "request_id",
+                    "type": "uint64"
+                }
+            ]
+        },
+        {
+            "name": "enqueue",
+            "base": "",
+            "fields": [
+                {
+                    "name": "user",
+                    "type": "name"
+                },
+                {
+                    "name": "request_body",
+                    "type": "string"
+                },
+                {
+                    "name": "binary_data",
+                    "type": "string"
+                },
+                {
+                    "name": "reward",
+                    "type": "asset"
+                },
+                {
+                    "name": "min_verification",
+                    "type": "uint32"
+                }
+            ]
+        },
+        {
+            "name": "global_configuration_struct",
+            "base": "",
+            "fields": [
+                {
+                    "name": "token_contract",
+                    "type": "name"
+                },
+                {
+                    "name": "token_symbol",
+                    "type": "symbol"
+                }
+            ]
+        },
+        {
+            "name": "submit",
+            "base": "",
+            "fields": [
+                {
+                    "name": "worker",
+                    "type": "name"
+                },
+                {
+                    "name": "request_id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "request_hash",
+                    "type": "checksum256"
+                },
+                {
+                    "name": "result_hash",
+                    "type": "checksum256"
+                },
+                {
+                    "name": "ipfs_hash",
+                    "type": "string"
+                }
+            ]
+        },
+        {
+            "name": "withdraw",
+            "base": "",
+            "fields": [
+                {
+                    "name": "user",
+                    "type": "name"
+                },
+                {
+                    "name": "quantity",
+                    "type": "asset"
+                }
+            ]
+        },
+        {
+            "name": "work_request_struct",
+            "base": "",
+            "fields": [
+                {
+                    "name": "id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "user",
+                    "type": "name"
+                },
+                {
+                    "name": "reward",
+                    "type": "asset"
+                },
+                {
+                    "name": "min_verification",
+                    "type": "uint32"
+                },
+                {
+                    "name": "nonce",
+                    "type": "uint64"
+                },
+                {
+                    "name": "body",
+                    "type": "string"
+                },
+                {
+                    "name": "binary_data",
+                    "type": "string"
+                },
+                {
+                    "name": "timestamp",
+                    "type": "time_point_sec"
+                }
+            ]
+        },
+        {
+            "name": "work_result_struct",
+            "base": "",
+            "fields": [
+                {
+                    "name": "id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "request_id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "user",
+                    "type": "name"
+                },
+                {
+                    "name": "worker",
+                    "type": "name"
+                },
+                {
+                    "name": "result_hash",
+                    "type": "checksum256"
+                },
+                {
+                    "name": "ipfs_hash",
+                    "type": "string"
+                },
+                {
+                    "name": "submited",
+                    "type": "time_point_sec"
+                }
+            ]
+        },
+        {
+            "name": "workbegin",
+            "base": "",
+            "fields": [
+                {
+                    "name": "worker",
+                    "type": "name"
+                },
+                {
+                    "name": "request_id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "max_workers",
+                    "type": "uint32"
+                }
+            ]
+        },
+        {
+            "name": "workcancel",
+            "base": "",
+            "fields": [
+                {
+                    "name": "worker",
+                    "type": "name"
+                },
+                {
+                    "name": "request_id",
+                    "type": "uint64"
+                },
+                {
+                    "name": "reason",
+                    "type": "string"
+                }
+            ]
+        },
+        {
+            "name": "worker",
+            "base": "",
+            "fields": [
+                {
+                    "name": "account",
+                    "type": "name"
+                },
+                {
+                    "name": "joined",
+                    "type": "time_point_sec"
+                },
+                {
+                    "name": "left",
+                    "type": "time_point_sec"
+                },
+                {
+                    "name": "url",
+                    "type": "string"
+                }
+            ]
+        },
+        {
+            "name": "worker_status_struct",
+            "base": "",
+            "fields": [
+                {
+                    "name": "worker",
+                    "type": "name"
+                },
+                {
+                    "name": "status",
+                    "type": "string"
+                },
+                {
+                    "name": "started",
+                    "type": "time_point_sec"
+                }
+            ]
+        }
+    ],
+    "actions": [
+        {
+            "name": "clean",
+            "type": "clean",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "config",
+            "type": "config",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "dequeue",
+            "type": "dequeue",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "enqueue",
+            "type": "enqueue",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "submit",
+            "type": "submit",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "withdraw",
+            "type": "withdraw",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "workbegin",
+            "type": "workbegin",
+            "ricardian_contract": ""
+        },
+        {
+            "name": "workcancel",
+            "type": "workcancel",
+            "ricardian_contract": ""
+        }
+    ],
+    "tables": [
+        {
+            "name": "cards",
+            "type": "card",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        },
+        {
+            "name": "config",
+            "type": "global_configuration_struct",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        },
+        {
+            "name": "queue",
+            "type": "work_request_struct",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        },
+        {
+            "name": "results",
+            "type": "work_result_struct",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        },
+        {
+            "name": "status",
+            "type": "worker_status_struct",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        },
+        {
+            "name": "users",
+            "type": "account",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        },
+        {
+            "name": "workers",
+            "type": "worker",
+            "index_type": "i64",
+            "key_names": [],
+            "key_types": []
+        }
+    ],
+    "ricardian_clauses": [],
+    "variants": [],
+    "action_results": []
+}

tests/test_deploy.py

@@ -0,0 +1,106 @@
+#!/usr/bin/env python3
+
+import time
+import json
+
+from hashlib import sha256
+from functools import partial
+
+import trio
+import requests
+from skynet.constants import DEFAULT_IPFS_REMOTE
+
+from skynet.dgpu import open_dgpu_node
+
+from leap.sugar import collect_stdout
+
+
+def test_enqueue_work(cleos):
+    user = 'telegram'
+    req = json.dumps({
+        'method': 'diffuse',
+        'params': {
+            'algo': 'midj',
+            'prompt': 'skynet terminator dystopic',
+            'width': 512,
+            'height': 512,
+            'guidance': 10,
+            'step': 28,
+            'seed': 420,
+            'upscaler': 'x4'
+        }
+    })
+    binary = ''
+
+    ec, out = cleos.push_action(
+        'telos.gpu', 'enqueue', [user, req, binary, '20.0000 GPU', 1], f'{user}@active'
+    )
+
+    assert ec == 0
+
+    queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
+
+    assert len(queue) == 1
+
+    req_on_chain = queue[0]
+
+    assert req_on_chain['user'] == user
+    assert req_on_chain['body'] == req
+    assert req_on_chain['binary_data'] == binary
+
+    trio.run(
+        partial(
+            open_dgpu_node,
+            f'testworker1',
+            'active',
+            cleos,
+            DEFAULT_IPFS_REMOTE,
+            cleos.private_keys['testworker1'],
+            initial_algos=['midj']
+        )
+    )
+
+    queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
+
+    assert len(queue) == 0
+
+
+def test_enqueue_dequeue(cleos):
+    user = 'telegram'
+    req = json.dumps({
+        'method': 'diffuse',
+        'params': {
+            'algo': 'midj',
+            'prompt': 'skynet terminator dystopic',
+            'width': 512,
+            'height': 512,
+            'guidance': 10,
+            'step': 28,
+            'seed': 420,
+            'upscaler': 'x4'
+        }
+    })
+    binary = ''
+
+    ec, out = cleos.push_action(
+        'telos.gpu', 'enqueue', [user, req, binary, '20.0000 GPU', 1], f'{user}@active'
+    )
+
+    assert ec == 0
+
+    request_id, _ = collect_stdout(out).split(':')
+    request_id = int(request_id)
+
+    queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
+
+    assert len(queue) == 1
+
+    ec, out = cleos.push_action(
+        'telos.gpu', 'dequeue', [user, request_id], f'{user}@active'
+    )
+
+    assert ec == 0
+
+    queue = cleos.get_table('telos.gpu', 'telos.gpu', 'queue')
+
+    assert len(queue) == 0

tests/test_dgpu.py

@@ -1,55 +0,0 @@
-#!/usr/bin/python
-
-import time
-import json
-import logging
-
-import trio
-import pynng
-import trio_asyncio
-
-from skynet_bot.dgpu import open_dgpu_node
-from skynet_bot.types import *
-from skynet_bot.brain import run_skynet
-from skynet_bot.constants import *
-from skynet_bot.frontend import open_skynet_rpc, rpc_call
-
-
-def test_dgpu_simple():
-    async def main():
-        async with trio.open_nursery() as n:
-            await n.start(
-                run_skynet,
-                'skynet', '3GbZd6UojbD8V7zWpeFn', 'ancap.tech:34508')
-
-            await trio.sleep(2)
-
-            for i in range(3):
-                n.start_soon(open_dgpu_node)
-
-            await trio.sleep(1)
-            start = time.time()
-            async def request_img():
-                with pynng.Req0(dial=DEFAULT_RPC_ADDR) as rpc_sock:
-                    res = await rpc_call(
-                        rpc_sock, 'tg+1', 'txt2img', {
-                            'prompt': 'test',
-                            'step': 28,
-                            'width': 512, 'height': 512,
-                            'guidance': 7.5,
-                            'seed': None,
-                            'algo': 'stable',
-                            'upscaler': None
-                        })
-
-                    logging.info(res)
-
-            async with trio.open_nursery() as inner_n:
-                for i in range(3):
-                    inner_n.start_soon(request_img)
-
-            logging.info(f'time elapsed: {time.time() - start}')
-            n.cancel_scope.cancel()
-
-
-    trio_asyncio.run(main)

tests/test_ipfs_client.py

@@ -0,0 +1,26 @@
+#!/usr/bin/python
+
+
+from pathlib import Path
+
+
+async def test_connection(ipfs_client):
+    await ipfs_client.connect(
+        '/ip4/169.197.140.154/tcp/4001/p2p/12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv')
+    peers = await ipfs_client.peers()
+    assert '12D3KooWKWogLFNEcNNMKnzU7Snrnuj84RZdMBg3sLiQSQc51oEv' in [p['Peer'] for p in peers]
+
+
+async def test_add_and_pin_file(ipfs_client):
+    test_file = Path('hello_world.txt')
+    with open(test_file, 'w+') as file:
+        file.write('Hello Skynet!')
+
+    file_info = await ipfs_client.add(test_file)
+    file_cid = file_info['Hash']
+
+    pin_resp = await ipfs_client.pin(file_cid)
+
+    assert file_cid in pin_resp
+
+    test_file.unlink()

tests/test_telegram.py

@@ -1,22 +0,0 @@
-#!/usr/bin/python
-
-import trio
-import trio_asyncio
-
-from skynet_bot.brain import run_skynet
-from skynet_bot.frontend import open_skynet_rpc
-from skynet_bot.frontend.telegram import run_skynet_telegram
-
-
-def test_run_tg_bot():
-    async def main():
-        async with trio.open_nursery() as n:
-            await n.start(
-                run_skynet,
-                'skynet', '3GbZd6UojbD8V7zWpeFn', 'ancap.tech:34508')
-            n.start_soon(
-                run_skynet_telegram,
-                '5853245787:AAFEmv3EjJ_qJ8d_vmOpi6o6HFHUf8a0uCQ')
-
-
-    trio_asyncio.run(main)