mirror of
https://github.com/koush/scrypted.git
synced 2026-02-08 00:12:13 +00:00
Compare commits
8 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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06d3c89274 | ||
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e13f3eb2f1 | ||
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001918d613 | ||
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c859c3aa40 | ||
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2bce019677 | ||
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6ba3386157 | ||
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51e66d98f9 | ||
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6484804649 |
@@ -1,20 +0,0 @@
|
||||
#!/bin/sh
|
||||
# Copyright 2019 Google LLC
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# https://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
rm -rf all_models
|
||||
mkdir -p all_models
|
||||
cd all_models
|
||||
wget https://github.com/koush/coreml-survival-guide/raw/master/MobileNetV2%2BSSDLite/ObjectDetection/ObjectDetection/MobileNetV2_SSDLite.mlmodel
|
||||
wget https://raw.githubusercontent.com/koush/coreml-survival-guide/master/MobileNetV2%2BSSDLite/coco_labels.txt
|
||||
@@ -1 +0,0 @@
|
||||
../all_models/MobileNetV2_SSDLite.mlmodel
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||||
@@ -1 +0,0 @@
|
||||
../all_models/coco_labels.txt
|
||||
4
plugins/coreml/package-lock.json
generated
4
plugins/coreml/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@scrypted/coreml",
|
||||
"version": "0.0.27",
|
||||
"version": "0.1.2",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@scrypted/coreml",
|
||||
"version": "0.0.27",
|
||||
"version": "0.1.2",
|
||||
"devDependencies": {
|
||||
"@scrypted/sdk": "file:../../sdk"
|
||||
}
|
||||
|
||||
@@ -41,5 +41,5 @@
|
||||
"devDependencies": {
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||||
"@scrypted/sdk": "file:../../sdk"
|
||||
},
|
||||
"version": "0.0.27"
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||||
"version": "0.1.2"
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||||
}
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|
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@@ -29,16 +29,17 @@ class CoreMLPlugin(PredictPlugin, scrypted_sdk.BufferConverter, scrypted_sdk.Set
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||||
def __init__(self, nativeId: str | None = None):
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super().__init__(MIME_TYPE, nativeId=nativeId)
|
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|
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modelPath = os.path.join(os.environ['SCRYPTED_PLUGIN_VOLUME'], 'zip', 'unzipped', 'fs', 'MobileNetV2_SSDLite.mlmodel')
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self.model = ct.models.MLModel(modelPath)
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labelsFile = self.downloadFile('https://raw.githubusercontent.com/koush/coreml-survival-guide/master/MobileNetV2%2BSSDLite/coco_labels.txt', 'coco_labels.txt')
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modelFile = self.downloadFile('https://github.com/koush/coreml-survival-guide/raw/master/MobileNetV2%2BSSDLite/ObjectDetection/ObjectDetection/MobileNetV2_SSDLite.mlmodel', 'MobileNetV2_SSDLite.mlmodel')
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self.model = ct.models.MLModel(modelFile)
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self.modelspec = self.model.get_spec()
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self.inputdesc = self.modelspec.description.input[0]
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self.inputheight = self.inputdesc.type.imageType.height
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self.inputwidth = self.inputdesc.type.imageType.width
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labels_contents = scrypted_sdk.zip.open(
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'fs/coco_labels.txt').read().decode('utf8')
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labels_contents = open(labelsFile, 'r').read()
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self.labels = parse_label_contents(labels_contents)
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self.loop = asyncio.get_event_loop()
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4
plugins/objectdetector/package-lock.json
generated
4
plugins/objectdetector/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
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||||
"name": "@scrypted/objectdetector",
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"version": "0.0.106",
|
||||
"version": "0.0.107",
|
||||
"lockfileVersion": 2,
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||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@scrypted/objectdetector",
|
||||
"version": "0.0.106",
|
||||
"version": "0.0.107",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@scrypted/common": "file:../../common",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
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||||
"name": "@scrypted/objectdetector",
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||||
"version": "0.0.106",
|
||||
"version": "0.0.107",
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||||
"description": "Scrypted Video Analysis Plugin. Installed alongside a detection service like OpenCV or TensorFlow.",
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||||
"author": "Scrypted",
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||||
"license": "Apache-2.0",
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||||
@@ -38,7 +38,10 @@
|
||||
"Settings",
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||||
"MixinProvider"
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||||
],
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||||
"realfs": true
|
||||
"realfs": true,
|
||||
"pluginDependencies": [
|
||||
"@scrypted/python-codecs"
|
||||
]
|
||||
},
|
||||
"dependencies": {
|
||||
"@scrypted/common": "file:../../common",
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||||
|
||||
@@ -75,6 +75,10 @@ class ObjectDetectionMixin extends SettingsMixinDeviceBase<VideoCamera & Camera
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BUILTIN_MOTION_SENSOR_REPLACE,
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],
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defaultValue: "Default",
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onPut: () => {
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||||
this.endObjectDetection();
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this.maybeStartMotionDetection();
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}
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},
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captureMode: {
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title: 'Capture Mode',
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@@ -9,3 +9,4 @@ dist/*.js
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dist/*.txt
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__pycache__
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all_models
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||||
.venv
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||||
|
||||
4
plugins/opencv/package-lock.json
generated
4
plugins/opencv/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@scrypted/opencv",
|
||||
"version": "0.0.64",
|
||||
"version": "0.0.66",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@scrypted/opencv",
|
||||
"version": "0.0.64",
|
||||
"version": "0.0.66",
|
||||
"devDependencies": {
|
||||
"@scrypted/sdk": "file:../../sdk"
|
||||
}
|
||||
|
||||
@@ -36,5 +36,5 @@
|
||||
"devDependencies": {
|
||||
"@scrypted/sdk": "file:../../sdk"
|
||||
},
|
||||
"version": "0.0.64"
|
||||
"version": "0.0.66"
|
||||
}
|
||||
|
||||
@@ -273,7 +273,7 @@ class OpenCVPlugin(DetectPlugin):
|
||||
buffer=info.data,
|
||||
dtype=np.uint8)
|
||||
detections = self.detect(
|
||||
detection_session, mat, settings, src_size, convert_to_src_size)
|
||||
detection_session, mat, src_size, convert_to_src_size)
|
||||
# no point in triggering empty events.
|
||||
finally:
|
||||
buf.unmap(info)
|
||||
|
||||
4
plugins/python-codecs/package-lock.json
generated
4
plugins/python-codecs/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@scrypted/python-codecs",
|
||||
"version": "0.1.5",
|
||||
"version": "0.1.6",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@scrypted/python-codecs",
|
||||
"version": "0.1.5",
|
||||
"version": "0.1.6",
|
||||
"devDependencies": {
|
||||
"@scrypted/sdk": "file:../../sdk"
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@scrypted/python-codecs",
|
||||
"version": "0.1.5",
|
||||
"version": "0.1.6",
|
||||
"description": "Python Codecs for Scrypted",
|
||||
"keywords": [
|
||||
"scrypted",
|
||||
|
||||
@@ -1,19 +0,0 @@
|
||||
#!/bin/sh
|
||||
# Copyright 2019 Google LLC
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# https://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
mkdir -p all_models
|
||||
wget https://dl.google.com/coral/canned_models/all_models.tar.gz
|
||||
tar -C all_models -xvzf all_models.tar.gz
|
||||
rm -f all_models.tar.gz
|
||||
@@ -1 +0,0 @@
|
||||
../all_models/coco_labels.txt
|
||||
@@ -1 +0,0 @@
|
||||
../all_models/mobilenet_ssd_v2_coco_quant_postprocess.tflite
|
||||
@@ -1 +0,0 @@
|
||||
../all_models/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite
|
||||
4
plugins/tensorflow-lite/package-lock.json
generated
4
plugins/tensorflow-lite/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@scrypted/tensorflow-lite",
|
||||
"version": "0.0.113",
|
||||
"version": "0.1.2",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@scrypted/tensorflow-lite",
|
||||
"version": "0.0.113",
|
||||
"version": "0.1.2",
|
||||
"devDependencies": {
|
||||
"@scrypted/sdk": "file:../../sdk"
|
||||
}
|
||||
|
||||
@@ -44,5 +44,5 @@
|
||||
"devDependencies": {
|
||||
"@scrypted/sdk": "file:../../sdk"
|
||||
},
|
||||
"version": "0.0.113"
|
||||
"version": "0.1.2"
|
||||
}
|
||||
|
||||
@@ -303,10 +303,11 @@ class DetectPlugin(scrypted_sdk.ScryptedDeviceBase, ObjectDetection):
|
||||
'videoFrame': videoFrame,
|
||||
}
|
||||
await self.detection_event_notified(detection_session.settings)
|
||||
except:
|
||||
raise
|
||||
finally:
|
||||
await videoFrames.aclose()
|
||||
try:
|
||||
await videoFrames.aclose()
|
||||
except:
|
||||
pass
|
||||
|
||||
async def detectObjects(self, mediaObject: MediaObject, session: ObjectDetectionSession = None, callbacks: ObjectDetectionCallbacks = None) -> ObjectsDetected:
|
||||
is_image = mediaObject and (mediaObject.mimeType.startswith('image/') or mediaObject.mimeType.endswith('/x-raw-image'))
|
||||
|
||||
@@ -8,6 +8,8 @@ from typing import Any, List, Tuple, Mapping
|
||||
import asyncio
|
||||
import time
|
||||
from .rectangle import Rectangle, intersect_area, intersect_rect, to_bounding_box, from_bounding_box, combine_rect
|
||||
import urllib.request
|
||||
import os
|
||||
|
||||
from detect import DetectionSession, DetectPlugin
|
||||
|
||||
@@ -126,6 +128,17 @@ class PredictPlugin(DetectPlugin, scrypted_sdk.BufferConverter, scrypted_sdk.Set
|
||||
loop = asyncio.get_event_loop()
|
||||
loop.call_later(4 * 60 * 60, lambda: self.requestRestart())
|
||||
|
||||
def downloadFile(self, url: str, filename: str):
|
||||
filesPath = os.path.join(os.environ['SCRYPTED_PLUGIN_VOLUME'], 'files')
|
||||
fullpath = os.path.join(filesPath, filename)
|
||||
if os.path.isfile(fullpath):
|
||||
return fullpath
|
||||
os.makedirs(filesPath, exist_ok=True)
|
||||
tmp = fullpath + '.tmp'
|
||||
urllib.request.urlretrieve(url, tmp)
|
||||
os.rename(tmp, fullpath)
|
||||
return fullpath
|
||||
|
||||
def getClasses(self) -> list[str]:
|
||||
return list(self.labels.values())
|
||||
|
||||
@@ -273,7 +286,7 @@ class PredictPlugin(DetectPlugin, scrypted_sdk.BufferConverter, scrypted_sdk.Set
|
||||
pass
|
||||
|
||||
async def run_detection_videoframe(self, videoFrame: scrypted_sdk.VideoFrame, detection_session: PredictSession) -> ObjectsDetected:
|
||||
settings = detection_session.settings
|
||||
settings = detection_session and detection_session.settings
|
||||
src_size = videoFrame.width, videoFrame.height
|
||||
w, h = self.get_input_size()
|
||||
iw, ih = src_size
|
||||
|
||||
@@ -40,8 +40,11 @@ class TensorFlowLitePlugin(PredictPlugin, scrypted_sdk.BufferConverter, scrypted
|
||||
def __init__(self, nativeId: str | None = None):
|
||||
super().__init__(MIME_TYPE, nativeId=nativeId)
|
||||
|
||||
labels_contents = scrypted_sdk.zip.open(
|
||||
'fs/coco_labels.txt').read().decode('utf8')
|
||||
tfliteFile = self.downloadFile('https://raw.githubusercontent.com/google-coral/test_data/master/ssd_mobilenet_v2_coco_quant_postprocess.tflite', 'ssd_mobilenet_v2_coco_quant_postprocess.tflite')
|
||||
edgetpuFile = self.downloadFile('https://raw.githubusercontent.com/google-coral/test_data/master/ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite', 'ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite')
|
||||
labelsFile = self.downloadFile('https://raw.githubusercontent.com/google-coral/test_data/master/coco_labels.txt', 'coco_labels.txt')
|
||||
|
||||
labels_contents = open(labelsFile, 'r').read()
|
||||
self.labels = parse_label_contents(labels_contents)
|
||||
self.interpreters = queue.Queue()
|
||||
self.interpreter_count = 0
|
||||
@@ -54,13 +57,11 @@ class TensorFlowLitePlugin(PredictPlugin, scrypted_sdk.BufferConverter, scrypted
|
||||
self.edge_tpu_found = str(edge_tpus)
|
||||
# todo co-compile
|
||||
# https://coral.ai/docs/edgetpu/compiler/#co-compiling-multiple-models
|
||||
model = scrypted_sdk.zip.open(
|
||||
'fs/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite').read()
|
||||
# face_model = scrypted_sdk.zip.open(
|
||||
# 'fs/mobilenet_ssd_v2_face_quant_postprocess.tflite').read()
|
||||
for idx, edge_tpu in enumerate(edge_tpus):
|
||||
try:
|
||||
interpreter = make_interpreter(model, ":%s" % idx)
|
||||
interpreter = make_interpreter(edgetpuFile, ":%s" % idx)
|
||||
interpreter.allocate_tensors()
|
||||
_, height, width, channels = interpreter.get_input_details()[
|
||||
0]['shape']
|
||||
@@ -77,11 +78,9 @@ class TensorFlowLitePlugin(PredictPlugin, scrypted_sdk.BufferConverter, scrypted
|
||||
except Exception as e:
|
||||
print('unable to use Coral Edge TPU', e)
|
||||
self.edge_tpu_found = 'Edge TPU not found'
|
||||
model = scrypted_sdk.zip.open(
|
||||
'fs/mobilenet_ssd_v2_coco_quant_postprocess.tflite').read()
|
||||
# face_model = scrypted_sdk.zip.open(
|
||||
# 'fs/mobilenet_ssd_v2_face_quant_postprocess.tflite').read()
|
||||
interpreter = tflite.Interpreter(model_content=model)
|
||||
interpreter = tflite.Interpreter(model_path=tfliteFile)
|
||||
interpreter.allocate_tensors()
|
||||
_, height, width, channels = interpreter.get_input_details()[
|
||||
0]['shape']
|
||||
|
||||
4
server/package-lock.json
generated
4
server/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@scrypted/server",
|
||||
"version": "0.7.10",
|
||||
"version": "0.7.11",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@scrypted/server",
|
||||
"version": "0.7.10",
|
||||
"version": "0.7.11",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"@mapbox/node-pre-gyp": "^1.0.10",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@scrypted/server",
|
||||
"version": "0.7.11",
|
||||
"version": "0.7.12",
|
||||
"description": "",
|
||||
"dependencies": {
|
||||
"@mapbox/node-pre-gyp": "^1.0.10",
|
||||
|
||||
@@ -488,6 +488,11 @@ class PluginRemote:
|
||||
reader = StreamPipeReader(parent_conn)
|
||||
forkPeer, readLoop = await rpc_reader.prepare_peer_readloop(self.loop, reader = reader, writeFd = parent_conn.fileno())
|
||||
forkPeer.peerName = 'thread'
|
||||
|
||||
async def updateStats(stats):
|
||||
allMemoryStats[forkPeer] = stats
|
||||
forkPeer.params['updateStats'] = updateStats
|
||||
|
||||
async def forkReadLoop():
|
||||
try:
|
||||
await readLoop()
|
||||
@@ -495,6 +500,7 @@ class PluginRemote:
|
||||
# traceback.print_exc()
|
||||
print('fork read loop exited')
|
||||
finally:
|
||||
allMemoryStats.pop(forkPeer)
|
||||
parent_conn.close()
|
||||
reader.executor.shutdown()
|
||||
asyncio.run_coroutine_threadsafe(forkReadLoop(), loop=self.loop)
|
||||
@@ -585,6 +591,9 @@ class PluginRemote:
|
||||
async def getServicePort(self, name):
|
||||
pass
|
||||
|
||||
|
||||
allMemoryStats = {}
|
||||
|
||||
async def plugin_async_main(loop: AbstractEventLoop, readFd: int = None, writeFd: int = None, reader: asyncio.StreamReader = None, writer: asyncio.StreamWriter = None):
|
||||
peer, readLoop = await rpc_reader.prepare_peer_readloop(loop, readFd=readFd, writeFd=writeFd, reader=reader, writer=writer)
|
||||
peer.params['print'] = print
|
||||
@@ -593,6 +602,7 @@ async def plugin_async_main(loop: AbstractEventLoop, readFd: int = None, writeFd
|
||||
async def get_update_stats():
|
||||
update_stats = await peer.getParam('updateStats')
|
||||
if not update_stats:
|
||||
print('host did not provide update_stats')
|
||||
return
|
||||
|
||||
def stats_runner():
|
||||
@@ -608,8 +618,12 @@ async def plugin_async_main(loop: AbstractEventLoop, readFd: int = None, writeFd
|
||||
resource.RUSAGE_SELF).ru_maxrss
|
||||
except:
|
||||
heapTotal = 0
|
||||
|
||||
for _, stats in allMemoryStats.items():
|
||||
ptime += stats['cpu']['user']
|
||||
heapTotal += stats['memoryUsage']['heapTotal']
|
||||
|
||||
stats = {
|
||||
'type': 'stats',
|
||||
'cpu': {
|
||||
'user': ptime,
|
||||
'system': 0,
|
||||
|
||||
Reference in New Issue
Block a user