From cebbd1059eae2aa31799d851831081b14f9bf3e2 Mon Sep 17 00:00:00 2001
From: Guillermo Rodriguez <guillermo@telos.net>
Date: Fri, 7 Feb 2025 22:01:00 -0300
Subject: [PATCH] Fix Upscaler hardcoding, add mockerpipeline and streamline
 dgpu tests

---
 pyproject.toml              |  10 +-
 skynet/cli.py               |   6 +-
 skynet/constants.py         |  51 ++++---
 skynet/dgpu/compute.py      |  23 ++-
 skynet/dgpu/daemon.py       |   9 +-
 skynet/dgpu/pipes/tester.py |  42 ++++++
 skynet/utils.py             |   2 +-
 tests/conftest.py           |  24 ++-
 tests/test_reqs.py          | 119 ++-------------
 uv.lock                     | 283 +-----------------------------------
 10 files changed, 120 insertions(+), 449 deletions(-)
 create mode 100644 skynet/dgpu/pipes/tester.py

diff --git a/pyproject.toml b/pyproject.toml
index 0f074db..05bc088 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,10 +16,10 @@ dependencies = [
     "msgspec>=0.19.0,<0.20",
     "numpy<2.1",
     "protobuf>=5.29.3,<6",
-    "zstandard>=0.23.0,<0.24",
     "click>=8.1.8,<9",
     "httpx>=0.28.1,<0.29",
     "outcome>=1.3.0.post0",
+    "urwid>=2.6.16",
 ]
 
 [project.scripts]
@@ -47,12 +47,9 @@ cuda = [
     "torch==2.5.1+cu121",
     "scipy==1.15.1",
     "numba==0.60.0",
-    "quart>=0.19.3,<0.20",
-    "triton==3.1.0",
-    "xformers>=0.0.29,<0.0.30",
-    "hypercorn>=0.14.4,<0.15",
+    # "triton==3.1.0",
+    # "xformers>=0.0.29,<0.0.30",
     "diffusers==0.32.1",
-    "quart-trio>=0.11.0,<0.12",
     "torchvision==0.20.1+cu121",
     "accelerate==0.34.0",
     "transformers==4.48.0",
@@ -62,7 +59,6 @@ cuda = [
     "basicsr>=1.4.2,<2",
     "realesrgan>=0.3.0,<0.4",
     "sentencepiece>=0.2.0",
-    "urwid>=2.6.16",
 ]
 
 [tool.uv]
diff --git a/skynet/cli.py b/skynet/cli.py
index f835d98..f78d31d 100755
--- a/skynet/cli.py
+++ b/skynet/cli.py
@@ -197,10 +197,10 @@ def dgpu(
 
     logging.basicConfig(level=loglevel)
 
-    config = load_skynet_toml(file_path=config_path)
-    set_hf_vars(config.dgpu.hf_token, config.dgpu.hf_home)
+    config = load_skynet_toml(file_path=config_path).dgpu
+    set_hf_vars(config.hf_token, config.hf_home)
 
-    trio.run(_dgpu_main, config.dgpu)
+    trio.run(_dgpu_main, config)
 
 
 @run.command()
diff --git a/skynet/constants.py b/skynet/constants.py
index 7431d28..f0af6ee 100755
--- a/skynet/constants.py
+++ b/skynet/constants.py
@@ -1,4 +1,6 @@
 import msgspec
+
+from enum import Enum
 from typing import Literal
 
 VERSION = '0.1a12'
@@ -6,107 +8,108 @@ VERSION = '0.1a12'
 DOCKER_RUNTIME_CUDA = 'skynet:runtime-cuda'
 
 
-class Size(msgspec.Struct):
-    w: int
-    h: int
-
-
 class ModelDesc(msgspec.Struct):
-    short: str
-    mem: float
-    size: Size
-    tags: list[Literal['txt2img', 'img2img', 'inpaint']]
+    short: str  # short unique name
+    mem: float  # recomended mem
+    attrs: dict  # additional mode specific attrs
+    tags: list[Literal['txt2img', 'img2img', 'inpaint', 'upscale']]
 
 
 MODELS: dict[str, ModelDesc] = {
+    'RealESRGAN_x4plus': ModelDesc(
+        short='realesrgan',
+        mem=4,
+        attrs={},
+        tags=['upscale']
+    ),
     'runwayml/stable-diffusion-v1-5': ModelDesc(
         short='stable',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'stabilityai/stable-diffusion-2-1-base': ModelDesc(
         short='stable2',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'snowkidy/stable-diffusion-xl-base-0.9': ModelDesc(
         short='stablexl0.9',
         mem=8.3,
-        size=Size(w=1024, h=1024),
+        attrs={'size': {'w': 1024, 'h': 1024}},
         tags=['txt2img']
     ),
     'Linaqruf/anything-v3.0': ModelDesc(
         short='hdanime',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'hakurei/waifu-diffusion': ModelDesc(
         short='waifu',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'nitrosocke/Ghibli-Diffusion': ModelDesc(
         short='ghibli',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'dallinmackay/Van-Gogh-diffusion': ModelDesc(
         short='van-gogh',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'lambdalabs/sd-pokemon-diffusers': ModelDesc(
         short='pokemon',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'Envvi/Inkpunk-Diffusion': ModelDesc(
         short='ink',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'nousr/robo-diffusion': ModelDesc(
         short='robot',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img']
     ),
     'black-forest-labs/FLUX.1-schnell': ModelDesc(
         short='flux',
         mem=24,
-        size=Size(w=1024, h=1024),
+        attrs={'size': {'w': 1024, 'h': 1024}},
         tags=['txt2img']
     ),
     'black-forest-labs/FLUX.1-Fill-dev': ModelDesc(
         short='flux-inpaint',
         mem=24,
-        size=Size(w=1024, h=1024),
+        attrs={'size': {'w': 1024, 'h': 1024}},
         tags=['inpaint']
     ),
     'diffusers/stable-diffusion-xl-1.0-inpainting-0.1': ModelDesc(
         short='stablexl-inpaint',
         mem=8.3,
-        size=Size(w=1024, h=1024),
+        attrs={'size': {'w': 1024, 'h': 1024}},
         tags=['inpaint']
     ),
     'prompthero/openjourney': ModelDesc(
         short='midj',
         mem=6,
-        size=Size(w=512, h=512),
+        attrs={'size': {'w': 512, 'h': 512}},
         tags=['txt2img', 'img2img']
     ),
     'stabilityai/stable-diffusion-xl-base-1.0': ModelDesc(
         short='stablexl',
         mem=8.3,
-        size=Size(w=1024, h=1024),
+        attrs={'size': {'w': 1024, 'h': 1024}},
         tags=['txt2img']
     ),
 }
diff --git a/skynet/dgpu/compute.py b/skynet/dgpu/compute.py
index 5e90791..23daa63 100755
--- a/skynet/dgpu/compute.py
+++ b/skynet/dgpu/compute.py
@@ -12,6 +12,7 @@ from contextlib import contextmanager as cm
 import trio
 import torch
 
+from skynet.config import load_skynet_toml
 from skynet.dgpu.tui import maybe_update_tui
 from skynet.dgpu.errors import (
     DGPUComputeError,
@@ -78,6 +79,7 @@ def maybe_load_model(name: str, mode: str):
         mode = 'txt2img'
 
     global _model_name, _model_mode, _model
+    config = load_skynet_toml().dgpu
 
     if _model_name != name or _model_mode != mode:
         # unload model
@@ -93,7 +95,7 @@ def maybe_load_model(name: str, mode: str):
 
         else:
             _model = pipeline_for(
-                name, mode, cache_dir='hf_home')
+                name, mode, cache_dir=config.hf_home)
 
         _model_name = name
         _model_mode = mode
@@ -101,25 +103,17 @@ def maybe_load_model(name: str, mode: str):
         logging.debug('memory summary:')
         logging.debug('\n' + torch.cuda.memory_summary())
 
-    yield
+    yield _model
 
 
 def compute_one(
+    model,
     request_id: int,
     method: str,
     params: dict,
     inputs: list[bytes] = [],
     should_cancel = None
 ):
-    if method == 'diffuse':
-        method = 'txt2img'
-
-    global _model, _model_name, _model_mode
-
-    # validate correct model is loaded
-    assert params['model'] == _model_name
-    assert method == _model_mode
-
     total_steps = params['step']
     def inference_step_wakeup(*args, **kwargs):
         '''This is a callback function that gets invoked every inference step,
@@ -132,6 +126,7 @@ def compute_one(
 
         maybe_update_tui(lambda tui: tui.set_progress(step, done=total_steps))
 
+        should_raise = False
         if should_cancel:
             should_raise = trio.from_thread.run(should_cancel, request_id)
 
@@ -155,7 +150,7 @@ def compute_one(
         name = params['model']
 
         match method:
-            case 'txt2img' | 'img2img' | 'inpaint':
+            case 'diffuse' | 'txt2img' | 'img2img' | 'inpaint':
                 arguments = prepare_params_for_diffuse(
                     params, method, inputs)
                 prompt, guidance, step, seed, upscaler, extra_params = arguments
@@ -167,7 +162,7 @@ def compute_one(
                     extra_params['callback'] = inference_step_wakeup
                     extra_params['callback_steps'] = 1
 
-                output = _model(
+                output = model(
                     prompt,
                     guidance_scale=guidance,
                     num_inference_steps=step,
@@ -194,7 +189,7 @@ def compute_one(
 
             case 'upscale':
                 input_img = inputs[0].convert('RGB')
-                up_img, _ = _model.enhance(
+                up_img, _ = model.enhance(
                     convert_from_image_to_cv2(input_img), outscale=4)
 
                 output = convert_from_cv2_to_image(up_img)
diff --git a/skynet/dgpu/daemon.py b/skynet/dgpu/daemon.py
index b94af9b..eb002b5 100755
--- a/skynet/dgpu/daemon.py
+++ b/skynet/dgpu/daemon.py
@@ -51,11 +51,7 @@ async def maybe_serve_one(
     model = body['params']['model']
 
     # if model not known, ignore.
-    if (
-        model != 'RealESRGAN_x4plus'
-        and
-        model not in MODELS
-    ):
+    if model not in MODELS:
         logging.warning(f'unknown model {model}!, skip...')
         return
 
@@ -139,7 +135,7 @@ async def maybe_serve_one(
         logging.info('begin_work error, probably being worked on already... skip.')
         return
 
-    with maybe_load_model(model, mode):
+    with maybe_load_model(model, mode) as model:
         try:
             maybe_update_tui(lambda tui: tui.set_progress(0, done=total_step))
 
@@ -154,6 +150,7 @@ async def maybe_serve_one(
                     output_hash, output = await trio.to_thread.run_sync(
                         partial(
                             compute_one,
+                            model,
                             rid,
                             mode, body['params'],
                             inputs=inputs,
diff --git a/skynet/dgpu/pipes/tester.py b/skynet/dgpu/pipes/tester.py
new file mode 100644
index 0000000..7978f22
--- /dev/null
+++ b/skynet/dgpu/pipes/tester.py
@@ -0,0 +1,42 @@
+import time
+
+from PIL import Image
+
+import msgspec
+
+
+__model = {
+    'name': 'skygpu/txt2img-mocker'
+}
+
+class MockPipelineResult(msgspec.Struct):
+    images: list[Image]
+
+class MockPipeline:
+
+    def __call__(
+        self,
+        prompt: str,
+        *args,
+        num_inference_steps: int = 3,
+        callback=None,
+        mock_step_time: float = 0.1,
+        **kwargs
+    ):
+        for i in range(num_inference_steps):
+            time.sleep(mock_step_time)
+            if callback:
+                callback(i+1)
+
+        img = Image.new('RGB', (1, 1), color='green')
+
+        return MockPipelineResult(images=[img])
+
+
+def pipeline_for(
+    model: str,
+    mode: str,
+    mem_fraction: float = 1.0,
+    cache_dir: str | None = None
+):
+    return MockPipeline()
diff --git a/skynet/utils.py b/skynet/utils.py
index ce029bd..0ebf6fb 100755
--- a/skynet/utils.py
+++ b/skynet/utils.py
@@ -99,7 +99,7 @@ def pipeline_for(
     diffusers.utils.logging.disable_progress_bar()
 
     logging.info(f'pipeline_for {model} {mode}')
-    assert torch.cuda.is_available()
+    # assert torch.cuda.is_available()
     torch.cuda.empty_cache()
     torch.backends.cuda.matmul.allow_tf32 = True
     torch.backends.cudnn.allow_tf32 = True
diff --git a/tests/conftest.py b/tests/conftest.py
index fe8bcf3..4c6a406 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -40,19 +40,15 @@ def skynet_cleos(cleos_bs):
     yield cleos
 
 
-@pytest.fixture(scope='session')
-def dgpu():
-    from skynet.dgpu.network import NetConnector
-    from skynet.dgpu.compute import ModelMngr
-    from skynet.dgpu.daemon import WorkerDaemon
+@pytest.fixture
+def inject_mockers():
+    from skynet.constants import MODELS, ModelDesc
 
-    config = load_skynet_toml(file_path='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)
-    config = config['skynet']['dgpu']
-    conn = NetConnector(config)
-    mm = ModelMngr(config)
-    daemon = WorkerDaemon(mm, conn, config)
+    MODELS['skygpu/txt2img-mocker'] = ModelDesc(
+        short='tester',
+        mem=0.01,
+        attrs={},
+        tags=['txt2img']
+    )
 
-    yield conn, mm, daemon
+    yield
diff --git a/tests/test_reqs.py b/tests/test_reqs.py
index 48ca886..a8d8564 100644
--- a/tests/test_reqs.py
+++ b/tests/test_reqs.py
@@ -1,112 +1,21 @@
 import json
 
-from skynet.dgpu.compute import ModelMngr
 from skynet.constants import *
-from skynet.config import *
+from skynet.dgpu.compute import maybe_load_model, compute_one
 
 
-async def test_diffuse(dgpu):
-    conn, mm, daemon = dgpu
-    await conn.cancel_work(0, 'testing')
-
-    daemon._snap['requests'][0] = {}
-    req = {
-        'id': 0,
-        'nonce': 0,
-        'body': json.dumps({
-            "method": "diffuse",
-            "params": {
-                "prompt": "Kronos God Realistic 4k",
-                "model": list(MODELS.keys())[-1],
-                "step": 21,
-                "width": 1024,
-                "height": 1024,
-                "seed": 168402949,
-                "guidance": "7.5"
-            }
-        }),
-        'binary_data': '',
+async def test_diffuse(inject_mockers):
+    model = 'skygpu/txt2img-mocker'
+    mode = 'diffuse'
+    params = {
+        "prompt": "Kronos God Realistic 4k",
+        "model": model,
+        "step": 21,
+        "width": 1024,
+        "height": 1024,
+        "seed": 168402949,
+        "guidance": "7.5"
     }
 
-    await daemon.maybe_serve_one(req)
-
-
-async def test_txt2img(dgpu):
-    conn, mm, daemon = dgpu
-    await conn.cancel_work(0, 'testing')
-
-    daemon._snap['requests'][0] = {}
-    req = {
-        'id': 0,
-        'nonce': 0,
-        'body': json.dumps({
-            "method": "txt2img",
-            "params": {
-                "prompt": "Kronos God Realistic 4k",
-                "model": list(MODELS.keys())[-1],
-                "step": 21,
-                "width": 1024,
-                "height": 1024,
-                "seed": 168402949,
-                "guidance": "7.5"
-            }
-        }),
-        'binary_data': '',
-    }
-
-    await daemon.maybe_serve_one(req)
-
-
-async def test_img2img(dgpu):
-    conn, mm, daemon = dgpu
-    await conn.cancel_work(0, 'testing')
-
-    daemon._snap['requests'][0] = {}
-    req = {
-        'id': 0,
-        'nonce': 0,
-        'body': json.dumps({
-            "method": "img2img",
-            "params": {
-                "prompt": "a hindu cat god feline god on a house roof",
-                "model": list(MODELS.keys())[-2],
-                "step": 21,
-                "width": 1024,
-                "height": 1024,
-                "seed": 168402949,
-                "guidance": "7.5",
-                "strength": "0.5"
-            }
-        }),
-        'binary_data': 'QmZcGdXXVQfpco1G3tr2CGFBtv8xVsCwcwuq9gnJBWDymi',
-    }
-
-    await daemon.maybe_serve_one(req)
-
-async def test_inpaint(dgpu):
-    conn, mm, daemon = dgpu
-    await conn.cancel_work(0, 'testing')
-
-    daemon._snap['requests'][0] = {}
-    req = {
-        'id': 0,
-        'nonce': 0,
-        'body': json.dumps({
-            "method": "inpaint",
-            "params": {
-                "prompt": "a black panther on a sunny roof",
-                "model": list(MODELS.keys())[-3],
-                "step": 21,
-                "width": 1024,
-                "height": 1024,
-                "seed": 168402949,
-                "guidance": "7.5",
-                "strength": "0.5"
-            }
-        }),
-        'binary_data':
-            'QmZcGdXXVQfpco1G3tr2CGFBtv8xVsCwcwuq9gnJBWDymi,' +
-            'Qmccx1aXNmq5mZDS3YviUhgGHXWhQeHvca3AgA7MDjj2hR'
-    }
-
-    await daemon.maybe_serve_one(req)
+    with maybe_load_model(model, mode) as model:
+        compute_one(model, 0, mode, params)
diff --git a/uv.lock b/uv.lock
index 23dd35c..29475b7 100644
--- a/uv.lock
+++ b/uv.lock
@@ -49,15 +49,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/6a/00/b08f23b7d7e1e14ce01419a467b583edbb93c6cdb8654e54a9cc579cd61f/addict-2.4.0-py3-none-any.whl", hash = "sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc", size = 3832 },
 ]
 
-[[package]]
-name = "aiofiles"
-version = "24.1.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896 },
-]
-
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.4.4"
@@ -265,15 +256,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/1e/90/a2bbb9b5f997b9c9aa9c15ee4adf553ee71053bb942f89fd48d920a1aa9d/bitsandbytes-0.45.0-py3-none-win_amd64.whl", hash = "sha256:ebbf96e0ecb466716a65ecdeaef3fa1983575447b9ab66b74e5211892507c6ff", size = 68520043 },
 ]
 
-[[package]]
-name = "blinker"
-version = "1.9.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/21/28/9b3f50ce0e048515135495f198351908d99540d69bfdc8c1d15b73dc55ce/blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf", size = 22460 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/10/cb/f2ad4230dc2eb1a74edf38f1a38b9b52277f75bef262d8908e60d957e13c/blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc", size = 8458 },
-]
-
 [[package]]
 name = "certifi"
 version = "2024.12.14"
@@ -288,43 +270,14 @@ name = "cffi"
 version = "1.17.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pycparser" },
+    { name = "pycparser", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621 }
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