Comparar commits

..

2 Commits

Autor SHA1 Mensagem Data
Brian Broll 50f08dc312 WIP Added images/ to npm ignore 2016-09-14 09:17:40 -05:00
Brian Broll f61f501359 WIP Added images for use in the wiki 2016-09-14 09:17:21 -05:00
278 arquivos alterados com 3520 adições e 32830 exclusões
-2
Ver Arquivo
@@ -31,8 +31,6 @@ exclude_paths:
- test/
- src/common/lua.js
- src/common/js-yaml.min.js
- src/visualizers/widgets/Sidebar/lib/
- src/visualizers/widgets/TextEditor/lib/
- src/visualizers/widgets/PipelineIndex/styles/PipelineIndex.css
- src/visualizers/widgets/LineGraph/lib/
- src/visualizers/widgets/PipelineEditor/klay.js
-1
Ver Arquivo
@@ -1 +0,0 @@
/node_modules
-3
Ver Arquivo
@@ -35,6 +35,3 @@ test-tmp/
blob-local-storage/
src/seeds/nn/hash.txt
src/seeds/pipeline/hash.txt
notes/
src/worker
+1 -4
Ver Arquivo
@@ -36,8 +36,5 @@ blob-local-storage/
src/seeds/nn/hash.txt
src/seeds/pipeline/hash.txt
# docs
# npm specific things
images/
notes/
src/worker
-24
Ver Arquivo
@@ -1,24 +0,0 @@
# Dockerfile for running the server itself
FROM node:6.10.1
MAINTAINER Brian Broll <brian.broll@gmail.com>
RUN echo '{"allow_root": true}' > /root/.bowerrc && mkdir -p /root/.config/configstore/ && \
echo '{}' > /root/.config/configstore/bower-github.json
RUN mkdir /deepforge
ADD . /deepforge
WORKDIR /deepforge
RUN cd $(npm root -g)/npm \
&& npm install fs-extra \
&& sed -i -e s/graceful-fs/fs-extra/ -e s/fs.rename/fs.move/ ./lib/utils/rename.js
RUN ln -s /deepforge/bin/deepforge /usr/local/bin
EXPOSE 8888
# Set up the data storage
RUN deepforge config blob.dir /data/blob && \
deepforge config mongo.dir /data/db
CMD ["deepforge", "start", "--server"]
-65
Ver Arquivo
@@ -1,65 +0,0 @@
# This has torch and cuda support
FROM kaixhin/cuda-torch
MAINTAINER Brian Broll <brian.broll@gmail.com>
# install nodejs v6
RUN groupadd --gid 1000 node \
&& useradd --uid 1000 --gid node --shell /bin/bash --create-home node
# gpg keys listed at https://github.com/nodejs/node#release-team
RUN set -ex \
&& for key in \
9554F04D7259F04124DE6B476D5A82AC7E37093B \
94AE36675C464D64BAFA68DD7434390BDBE9B9C5 \
FD3A5288F042B6850C66B31F09FE44734EB7990E \
71DCFD284A79C3B38668286BC97EC7A07EDE3FC1 \
DD8F2338BAE7501E3DD5AC78C273792F7D83545D \
B9AE9905FFD7803F25714661B63B535A4C206CA9 \
C4F0DFFF4E8C1A8236409D08E73BC641CC11F4C8 \
56730D5401028683275BD23C23EFEFE93C4CFFFE \
; do \
gpg --keyserver ha.pool.sks-keyservers.net --recv-keys "$key"; \
done
ENV NPM_CONFIG_LOGLEVEL info
ENV NODE_VERSION 6.10.1
RUN curl -SLO "https://nodejs.org/dist/v$NODE_VERSION/node-v$NODE_VERSION-linux-x64.tar.xz" \
&& curl -SLO "https://nodejs.org/dist/v$NODE_VERSION/SHASUMS256.txt.asc" \
&& gpg --batch --decrypt --output SHASUMS256.txt SHASUMS256.txt.asc \
&& grep " node-v$NODE_VERSION-linux-x64.tar.xz\$" SHASUMS256.txt | sha256sum -c - \
&& tar -xJf "node-v$NODE_VERSION-linux-x64.tar.xz" -C /usr/local --strip-components=1 \
&& rm "node-v$NODE_VERSION-linux-x64.tar.xz" SHASUMS256.txt.asc SHASUMS256.txt \
&& ln -s /usr/local/bin/node /usr/local/bin/nodejs
# install deepforge
RUN echo '{"allow_root": true}' > /root/.bowerrc && mkdir -p /root/.config/configstore/ && \
echo '{}' > /root/.config/configstore/bower-github.json
RUN mkdir /deepforge
ADD . /deepforge
WORKDIR /deepforge
RUN cd $(npm root -g)/npm \
&& npm install fs-extra \
&& sed -i -e s/graceful-fs/fs-extra/ -e s/fs.rename/fs.move/ ./lib/utils/rename.js
RUN ln -s /deepforge/bin/deepforge /usr/local/bin
# configure the worker
RUN deepforge config blob.dir /data/blob && \
deepforge config mongo.dir /data/db && \
deepforge config worker.cache.useBlob false && \
deepforge config worker.cache.dir /deepforge/worker-cache && \
deepforge config torch.dir /root/torch/ && \
git config --global user.email "deepforge-worker@deepforge.org" && \
git config --global user.name "deepforge-worker"
# Update torch
RUN apt-get update && apt-get install sudo wget && \
. /root/torch/install/bin/torch-activate && \
cd /root/torch/ && bash /root/torch/update.sh && \
deepforge update -t
ENTRYPOINT ["deepforge", "start", "--worker"]
CMD ["http://172.17.0.1:8888"]
+18 -34
Ver Arquivo
@@ -1,50 +1,34 @@
[![Release State](https://img.shields.io/badge/state-beta-yellow.svg)](https://img.shields.io/badge/state-beta-yellow.svg)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](./LICENSE)
[![Build Status](https://travis-ci.org/deepforge-dev/deepforge.svg?branch=master)](https://travis-ci.org/deepforge-dev/deepforge)
[![Join the chat at https://gitter.im/deepforge-dev/deepforge](https://badges.gitter.im/deepforge-dev/deepforge.svg)](https://gitter.im/deepforge-dev/deepforge?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[![Stories in Ready](https://badge.waffle.io/deepforge-dev/deepforge.png?label=ready&title=Ready)](https://waffle.io/deepforge-dev/deepforge)
[![Build Status](https://travis-ci.org/dfst/deepforge.svg?branch=master)](https://travis-ci.org/dfst/deepforge)
[![Join the chat at https://gitter.im/dfst/deepforge](https://badges.gitter.im/dfst/deepforge.svg)](https://gitter.im/dfst/deepforge?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[![Stories in Ready](https://badge.waffle.io/dfst/deepforge.png?label=ready&title=Ready)](https://waffle.io/dfst/deepforge)
Using DeepForge? [Let us know what you think!](https://goo.gl/forms/2pDdCPXoUvkQhVzQ2)
**Notice**: DeepForge is still a work in progress and is also lacking significant documentation! That being said, any contributions and/or feedback is greatly appreciated (and feel free to always ask any questions on the gitter)!
# DeepForge
DeepForge is an open-source visual development environment for deep learning providing end-to-end support for creating deep learning models. This is achieved through providing the ability to design **architectures**, create training **pipelines**, and then execute these pipelines over a cluster. Using a notebook-esque api, users can get real-time feedback about the status of any of their **executions** including compare them side-by-side in real-time.
![overview](images/overview.png "")
Additional features include:
- Graphical architecture editor
- Training/testing pipeline creation
- Distributed pipeline execution
- Real-time pipeline feedback
- Collaborative editing
- Automatic version control.
- Facilitates defining custom layers
DeepForge is an open-source visual development environment for deep learning. Currently, it supports Convolutional Neural Networks but we are planning on supporting additional deep learning classifiers such as RNNs and LSTMs. Additional features include real-time collaborative editing and version control.
## Quick Start
The easiest way to start deepforge is using [docker-compose](https://docs.docker.com/compose/). Using docker-compose, deepforge can be started with
Simply run the following command to install deepforge with its dependencies:
```
wget https://raw.githubusercontent.com/deepforge-dev/deepforge/master/docker-compose.yml
docker-compose up
curl -o- https://raw.githubusercontent.com/dfst/deepforge/master/install.sh | bash
```
Finally, navigate to [http://localhost:8888](http://localhost:8888) to start using DeepForge! For more detailed instructions and other installation options, check out the [docs](http://deepforge.readthedocs.io/en/latest/deployment/overview.html).
Or, if you already have NodeJS (v6) installed, simply run
## Additional Resources
- [Intro to DeepForge Slides](https://docs.google.com/presentation/d/10_y5O3gHXSATfjHVLJg7dOdrz-tAXNWjlxhJ5SlA0ic/edit?usp=sharing)
- [wiki](https://github.com/deepforge-dev/deepforge/wiki) containing overview, installation, configuration and developer information
- [Starter Kit](https://github.com/deepforge-dev/examples/tree/master/starterkit) containing example pipelines demonstrating various deepforge features
- [Examples](https://github.com/deepforge-dev/examples)
```
npm install -g deepforge
```
- [Datamodel Developer Slides](https://docs.google.com/presentation/d/1hd3IyUlzW_TIPnzCnE-1pdz00Pw8WaIxYiOW_Hyog-M/edit#slide=id.p)
Next, start deepforge with `deepforge start`!
Finally, navigate to [http://localhost:8888](http://localhost:8888) to start using DeepForge! For more, detailed instructions, check out the [wiki](https://github.com/dfst/deepforge/wiki/Installation-Guide).
Also, be sure to check out the other available features of the `deepforge` cli; it can be used to update, manage your torch installation, uninstall deepforge and run individual components!
## Interested in contributing?
Contributions are welcome! There are a couple different ways to contribute to DeepForge:
- Provide user feedback!
- on the [documentation](http://deepforge.readthedocs.io)
- on deepforge and its future development: https://goo.gl/forms/2pDdCPXoUvkQhVzQ2
- Contribute to the project directly by submitting some PR's!
If you have any questions, check out the [wiki](https://github.com/dfst/deepforge/wiki/) or drop me a line on the gitter!
Contributions are welcome! Either fork the project and submit some PR's or shoot me an email about getting more involved!
Sponsored by [Digital Reasoning](http://www.digitalreasoning.com/)
-1
Ver Arquivo
@@ -1 +0,0 @@
theme: jekyll-theme-cayman
-6
Ver Arquivo
@@ -4,17 +4,11 @@
var gmeConfig = require('./config'),
webgme = require('webgme'),
path = require('path'),
fs = require('fs'),
rm_rf = require('rimraf'),
gracefulFs = require('graceful-fs'),
myServer;
process.chdir(__dirname);
webgme.addToRequireJsPaths(gmeConfig);
// Patch the 'fs' module to fix 'too many files open' error
gracefulFs.gracefulify(fs);
// Clear seed hash info
['nn', 'pipeline'].map(lib => path.join(__dirname, 'src', 'seeds', lib, 'hash.txt'))
.forEach(file => rm_rf.sync(file));
+53 -87
Ver Arquivo
@@ -1,7 +1,6 @@
#!/usr/bin/env node
var Command = require('commander').Command,
tcpPortUsed = require('tcp-port-used'),
program = new Command(),
childProcess = require('child_process'),
rawSpawn = childProcess.spawn,
@@ -9,8 +8,7 @@ var Command = require('commander').Command,
execSync = childProcess.execSync,
path = require('path'),
fs = require('fs'),
pkgJson = require('../package.json'),
version = pkgJson.version,
version = require('../package.json').version,
exists = require('exists-file'),
DEFAULT_CONFIG = require('./config.json'),
merge = require('lodash.merge'),
@@ -119,35 +117,32 @@ var isLocalUri = function(protocol, uri) {
uri.indexOf(protocol + '://127.0.0.1') === 0;
};
var checkMongo = function(args, notSilent, mongoUri) {
var checkMongo = function(args, notSilent) {
// check the webgme config
var gmeConfig = require('../config');
mongoUri = mongoUri || gmeConfig.mongo.uri;
var gmeConfig = require('../config'),
mongoUri = gmeConfig.mongo.uri;
if (isLocalUri('mongodb', mongoUri)) {
var match = mongoUri.match(/:([0-9]+)/),
port = '80';
if (match) {
port = match[1];
}
// Make sure mongo is running locally (using pgrep)
try {
execSync('pgrep mongod').toString();
console.log('MongoDB is already running!');
} catch (e) { // no pIds
console.log('Starting MongoDB...');
var match = mongoUri.match(/:([0-9]+)/),
port = '80';
if (match) {
port = match[1];
}
startMongo(args, port, !notSilent);
}
return tcpPortUsed.waitUntilUsed(+port, 100, 1000);
} else if (notSilent) {
console.log(`Cannot start remote mongo locally: ${mongoUri}`);
} else {
console.log(`Using remote mongo: ${mongoUri}`);
}
return Q();
};
var startMongo = function(args, port, silent) {
@@ -213,34 +208,28 @@ var installTorch = function() {
args = `clone https://github.com/torch/distro.git ${tgtDir} --recursive`.split(' ');
return spawn('git', args)
.catch(result => {
var error = result.error || result.stderr ||
`Torch install failed with exit code ${result.code}`;
.then(code => {
if (code !== 0) {
if (code === 128) {
console.error(`${tgtDir} is not empty. ` +
'Please empty it or change the torch directory:\n' +
'\n deepforge config torch.dir NEW/TORCH/PATH\n');
if (result.stderr.includes('unable to access')) {
error = `Could not access the torch repository. Are you ` +
`connected to the internet?\n`;
} else if (result.code === 128) {
error = `${tgtDir} is not empty. ` +
'Please empty it or change the torch directory:\n' +
'\n deepforge config torch.dir NEW/TORCH/PATH\n';
}
throw `Torch install Failed with exit code ${code}`;
} else { // continue installation
process.chdir(tgtDir);
return spawn('bash', ['install-deps'])
.then(() => spawn('bash', ['install.sh'], true))
.then(() => {
storeConfig('torch.dir', tgtDir);
console.log('Installed torch. Please close and ' +
're-open your terminal to use DeepForge w/ ' +
'torch support!');
process.exit(0);
});
}
console.error(error);
process.exit(result.code);
})
.then((code, stderr) => {
process.chdir(tgtDir);
return spawn('bash', ['install-deps'])
.then(() => spawn('bash', ['install.sh'], true))
.then(() => {
storeConfig('torch.dir', tgtDir);
console.log('Installed torch. Please close and ' +
're-open your terminal to use DeepForge w/ ' +
'torch support!');
process.exit(0);
});
});
} else {
return Q();
@@ -253,32 +242,21 @@ var spawn = function(cmd, args, opts) {
spawnOpts = typeof opts === 'object' ? opts : null,
forwardStdin = opts === true,
isOpen = true,
stderr = '',
err;
args = args || [];
job = spawnOpts ? rawSpawn(cmd, args, spawnOpts) : rawSpawn(cmd, args);
job.stdout.on('data', data => process.stdout.write(data));
job.stderr.on('data', data => {
stderr += data;
process.stderr.write(data);
});
job.stderr.on('data', data => process.stderr.write(data));
job.on('close', code => {
isOpen = false;
if (err || code !== 0) {
deferred.reject({
code: code,
stderr: stderr,
error: err
});
if (err) {
deferred.reject(err, code);
} else {
deferred.resolve(code);
}
});
job.on('error', e => {
err = e;
});
job.on('error', e => err = e);
if (forwardStdin) {
process.stdin.on('data', data => {
@@ -298,49 +276,42 @@ program.command('start')
.option('-w, --worker [url]', 'start a worker and connect to given url. Defaults to local deepforge')
.option('-m, --mongo', 'start MongoDB')
.action(args => {
var main = path.join(__dirname, 'start-local.js'),
current = Q();
var main = path.join(__dirname, 'start-local.js');
if (args.port) {
process.env.PORT = args.port;
}
if (args.mongo) {
current = current.then(() => checkMongo(args, true));
}
if (args.server) {
current = current
.then(() => checkMongo(args))
.then(() => {
main = path.join(__dirname, '..', 'app.js');
return spawn('node', [main]);
});
checkMongo(args);
main = path.join(__dirname, '..', 'app.js');
spawn('node', [main]);
}
if (args.worker) {
if (hasTorch()) {
current
.then(() => installTorchExtras())
.then(() => {
main = path.join(__dirname, 'start-worker.js');
if (args.worker !== true) {
spawn('node', [main, args.worker]);
} else {
spawn('node', [main]);
}
});
installTorchExtras().then(() => {
main = path.join(__dirname, 'start-worker.js');
if (args.worker !== true) {
spawn('node', [main, args.worker]);
} else {
spawn('node', [main]);
}
});
} else {
installTorch();
}
}
if (args.mongo) {
checkMongo(args, true);
}
if (!args.server && !args.worker && !args.mongo) {
// Starting everything
current = current.then(() => checkMongo(args));
checkMongo(args);
if (hasTorch()) {
current.then(() => installTorchExtras())
.then(() => spawn('node', [main]));
installTorchExtras().then(() => spawn('node', [main]));
} else {
installTorch();
}
@@ -363,7 +334,7 @@ program
if (!args.torch || args.server) {
if (args.git) {
pkg = pkgJson.repository.url;
pkg = 'dfst/deepforge';
} else {
// Check the version
try {
@@ -476,17 +447,12 @@ program
}
});
// extensions
program
.command('extensions <command>', 'Manage deepforge extensions');
module.exports = function(cmd) {
var cmds = cmd.split(/\s+/).filter(w => !!w);
cmds.unshift('./bin/deepforge');
cmds.unshift('node');
program.parse(cmds);
};
module.exports.checkMongo = checkMongo;
if (require.main === module) {
program.parse(process.argv);
-67
Ver Arquivo
@@ -1,67 +0,0 @@
#!/usr/bin/env node
var Command = require('commander').Command,
program = new Command(),
extender = require('../utils/extender');
// Supported commands
// - add
// - remove
// - list
// - update
program
.command('add <project>')
.description('Add an extension to deepforge')
.option('-n, --name <name>', 'Project name (if different from <project>)')
.action(project => {
console.log('loading extension from: ' + project);
extender.install(project)
.then(extConfig =>
console.log(`The ${extConfig.name} extension has been added to deepforge.`))
.fail(err => {
console.error('Could not install extension:\n');
console.error(err);
process.exit(1);
});
});
program
.command('remove <name>').alias('rm')
.description('Remove an extension from deepforge')
.action(name => {
try {
extender.uninstall(name);
console.log(`${name} has been successfully removed!`);
} catch (e) {
console.error('Could not remove extension:');
console.error(e);
process.exit(1);
}
});
program
.command('list').alias('ls')
.description('List installed deepforge extensions')
.action(() => {
var allExtConfigs = extender.getExtensionsConfig(),
types = Object.keys(allExtConfigs),
hasContents = false,
names;
for (var i = types.length; i--;) {
names = Object.keys(allExtConfigs[types[i]]);
if (names.length) {
hasContents = true;
console.log(types[i]);
for (var j = names.length; j--;) {
console.log(` ${names[j]}`);
}
}
}
if (!hasContents) {
console.log('No installed extensions');
}
});
program.parse(process.argv);
+2 -2
Ver Arquivo
@@ -13,8 +13,8 @@ if (gmeConfig.blob.type === 'FS') {
}
process.env.NODE_ENV = 'local';
execJob = spawn('node', [
path.join(__dirname, '..', 'app.js')
execJob = spawn('npm', [
'start'
], env);
execJob.stdout.pipe(process.stdout);
execJob.stderr.pipe(process.stderr);
+15 -6
Ver Arquivo
@@ -6,7 +6,8 @@ var path = require('path'),
spawn = childProcess.spawn,
rm_rf = require('rimraf'),
projectConfig = require(__dirname + '/../config'),
executorSrc = path.join(__dirname, '..', 'node_modules', '.bin', 'webgme-executor-worker'),
executorSrc = path.join(__dirname, '..', 'node_modules', 'webgme', 'src',
'server', 'middleware', 'executor', 'worker'),
id = Date.now(),
workerRootPath = process.env.DEEPFORGE_WORKER_DIR || path.join(__dirname, '..', 'src', 'worker'),
workerPath = path.join(workerRootPath, `worker_${id}`),
@@ -36,6 +37,7 @@ try {
} catch (e) {
// Create dir
childProcess.spawnSync('ln', ['-s', `${__dirname}/../node_modules`, modules]);
return true;
}
// Check torch support
@@ -58,7 +60,7 @@ var startExecutor = function() {
// Start the executor
var execJob = spawn('node', [
executorSrc,
'node_worker.js',
workerConfigPath,
workerTmp
]);
@@ -72,13 +74,20 @@ var createConfigJson = function() {
if (process.argv.length > 2) {
address = process.argv[2];
if (!/^https?:\/\//.test(address)) {
address = 'http://' + address;
}
}
config[address] = {};
fs.writeFile(workerConfigPath, JSON.stringify(config), startExecutor);
};
fs.mkdir(workerTmp, createConfigJson);
process.chdir(executorSrc);
fs.mkdir(workerTmp, function() {
// npm install in this directory
var npmInstall = spawn('npm', ['install']);
npmInstall.stdout.pipe(process.stdout);
npmInstall.stderr.pipe(process.stderr);
npmInstall.on('close', function() {
createConfigJson();
});
});
+8 -26
Ver Arquivo
@@ -2,29 +2,13 @@
"AutoViz": {
"preloadIds": [
"ArchEditor",
"ArchIndex",
"PipelineIndex",
"PipelineEditor",
"OperationEditor",
"ExecutionView"
],
"visualizerOverrides": {
"": "ForwardViz",
"MyArtifacts": "ArtifactIndex",
"MyArchitectures": "ArchIndex",
"MyExecutions": "ExecutionIndex",
"MyPipelines": "PipelineIndex"
}
},
"PipelineEditor": {
"itemName": "operation"
},
"ExecutionView": {
"itemName": "job"
]
},
"ArchEditor": {
"hotkeys": "none",
"itemName": "layer",
"LayerColors": {}
},
"BreadcrumbHeader": {
@@ -48,6 +32,10 @@
"ImportTorch": {
"icon": "import_export",
"priority": -1
},
"GenerateExecFile": {
"icon": "play_for_work",
"priority": -1
}
}
},
@@ -55,11 +43,11 @@
"rootMenuClass": "deepforge-logo",
"rootDisplayName": "DeepForge"
},
"SidebarLayout": {
"CHFLayout": {
"panels": [
{
"id": "WorkerHeader",
"panel": "WorkerHeader/WorkerHeaderPanel",
"id": "Header",
"panel": "BreadcrumbHeader/BreadcrumbHeaderPanel",
"container": "header",
"DEBUG_ONLY": false
},
@@ -75,12 +63,6 @@
"container": "center",
"DEBUG_ONLY": false
},
{
"id": "Sidebar",
"panel": "Sidebar/SidebarPanel",
"container": "sidebar",
"DEBUG_ONLY": false
},
{
"id": "ForgeActionButton",
"panel": "ForgeActionButton/ForgeActionButton",
-1
Ver Arquivo
@@ -8,7 +8,6 @@ require('dotenv').load({silent: true});
// Add/overwrite any additional settings here
config.server.port = +process.env.PORT || config.server.port;
config.server.timeout = 0;
config.mongo.uri = process.env.MONGO_URI || config.mongo.uri;
config.blob.fsDir = process.env.DEEPFORGE_BLOB_DIR || config.blob.fsDir;
+1 -5
Ver Arquivo
@@ -9,7 +9,6 @@ var config = require('webgme/config/config.default'),
// The paths can be loaded from the webgme-setup.json
config.plugin.basePaths.push(__dirname + '/../src/plugins');
config.plugin.basePaths.push(__dirname + '/../node_modules/webgme-simple-nodes/src/plugins');
config.visualization.layout.basePaths.push(__dirname + '/../src/layouts');
config.visualization.layout.basePaths.push(__dirname + '/../node_modules/webgme-chflayout/src/layouts');
config.visualization.decoratorPaths.push(__dirname + '/../src/decorators');
config.visualization.decoratorPaths.push(__dirname + '/../node_modules/webgme-easydag/src/decorators');
@@ -21,7 +20,6 @@ config.seedProjects.basePaths.push(__dirname + '/../src/seeds/devPipelineTests')
config.seedProjects.basePaths.push(__dirname + '/../src/seeds/project');
config.seedProjects.basePaths.push(__dirname + '/../src/seeds/cifar10');
config.seedProjects.basePaths.push(__dirname + '/../src/seeds/xor');
config.seedProjects.basePaths.push(__dirname + '/../src/seeds/devProject');
@@ -33,8 +31,6 @@ config.visualization.panelPaths.push(__dirname + '/../src/visualizers/panels');
config.rest.components['execution/logs'] = __dirname + '/../src/routers/JobLogsAPI/JobLogsAPI.js';
config.rest.components['job/origins'] = __dirname + '/../src/routers/JobOriginAPI/JobOriginAPI.js';
config.rest.components['execution/pulse'] = __dirname + '/../src/routers/ExecPulse/ExecPulse.js';
// Visualizer descriptors
config.visualization.visualizerDescriptors.push(__dirname + '/../src/visualizers/Visualizers.json');
@@ -59,7 +55,7 @@ config.requirejsPaths = {
'widgets/FloatingActionButton': './node_modules/webgme-fab/src/visualizers/widgets/FloatingActionButton'
};
config.visualization.layout.default = 'SidebarLayout';
config.visualization.layout.default = 'CHFLayout';
config.mongo.uri = 'mongodb://127.0.0.1:27017/deepforge';
validateConfig(config);
module.exports = config;
-22
Ver Arquivo
@@ -1,22 +0,0 @@
---
services:
mongo:
image: mongo
volumes:
- "$HOME/.deepforge/data:/data/db"
server:
environment:
- "MONGO_URI=mongodb://mongo:27017/deepforge"
image: deepforge/server
ports:
- "8888:8888"
volumes:
- "$HOME/.deepforge/blob:/data/blob"
depends_on:
- mongo
worker:
command: "http://server:8888"
image: deepforge/worker
depends_on:
- server
version: "2"
-1
Ver Arquivo
@@ -1 +0,0 @@
_build
-20
Ver Arquivo
@@ -1,20 +0,0 @@
# Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
SPHINXPROJ = deepforge
SOURCEDIR = .
BUILDDIR = _build
# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
.PHONY: help Makefile
# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-159
Ver Arquivo
@@ -1,159 +0,0 @@
import sphinx_rtd_theme
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# deepforge documentation build configuration file, created by
# sphinx-quickstart on Mon Mar 13 18:56:27 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = []
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = 'DeepForge'
copyright = '2017, Brian Broll'
author = 'Brian Broll'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = ''
# The full version, including alpha/beta/rc tags.
release = ''
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = False
# -- Options for HTML output ----------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# -- Options for HTMLHelp output ------------------------------------------
# Output file base name for HTML help builder.
htmlhelp_basename = 'deepforgedoc'
# -- Options for LaTeX output ---------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',
# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, 'deepforge.tex', 'deepforge Documentation',
'Brian Broll', 'manual'),
]
# -- Options for manual page output ---------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
(master_doc, 'deepforge', 'deepforge Documentation',
[author], 1)
]
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
(master_doc, 'deepforge', 'deepforge Documentation',
author, 'deepforge', 'One line description of project.',
'Miscellaneous'),
]
-45
Ver Arquivo
@@ -1,45 +0,0 @@
Dockerized Installation
-----------------------
Each of the components are also available as docker containers. This page outlines the running of each of the main components as docker containers and connecting them as necessary.
Database
~~~~~~~~
First, you can start the mongo container using:
.. code-block:: bash
docker run -d -v /abs/path/to/data:/data/db mongo
where :code:`/abs/path/to/data` is the path to the mongo data location on the host. If running the database in a container, you will need to get the ip address of the given container:
.. code-block:: bash
docker inspect <container id> | grep IPAddr
The :code:`<container id>` is the value returned from the original :code:`docker run` command.
When running mongo in a docker container, it is important to mount an external volume (using the :code:`-v` flag) to be used for the actual data (otherwise the data will be lost when the container is stopped).
Server
~~~~~~
The DeepForge server can be started with
.. code-block:: bash
docker run -d -v $HOME/.deepforge/blob:/data/blob \
-p 8888:8888 -e MONGO_URI=mongodb://172.17.0.2:27017/deepforge \
deepforge/server
where :code:`172.17.0.2` is the ip address of the mongo container and :code:`$HOME/.deepforge/blob` is the path to use for binary DeepForge data on the host. Of course, if the mongo instance is locating at a different location, :code:`MONGO_URI` can be set to this address as well. Also, the first port (:code:`8888`) can be replaced with the desired port to expose on the host.
Worker
~~~~~~
As workers may require GPU access, they will need to use the nvidia-docker plugin. Workers can be created using
.. code-block:: bash
nvidia-docker run -d deepforge/worker http://172.17.0.1:8888
where :code:`http://172.17.0.1:8888` is the location of the DeepForge server to which to connect.
**Note**: The :code:`deepforge/worker` image is packaged with cuda 7.5. Depending upon your hardware and nvidia version, you may need to build your own docker image or run the worker natively.
-130
Ver Arquivo
@@ -1,130 +0,0 @@
Native Installation
===================
Dependencies
------------
First, install `NodeJS <https://nodejs.org/en/>`_ (v6) and `MongoDB <https://www.mongodb.org/>`_. You may also need to install git if you haven't already.
Next, you can install DeepForge using npm:
.. code-block:: bash
npm install -g deepforge
Now, you can check that it installed correctly:
.. code-block:: bash
deepforge --version
DeepForge can now be started with:
.. code-block:: bash
deepforge start
However, the first time DeepForge is started, it will make sure that the deep learning framework is installed (if it isn't found on the host system). This may require you to start DeepForge a couple times; the first time it starts it will install Torch7 and require a terminal restart to update a couple environment variables (like `PATH`). The second time it starts it will install additional torch packages but will not require a terminal restart. Finally, DeepForge will start with all the required dependencies.
Database
~~~~~~~~
Download and install MongoDB from the `website <https://www.mongodb.org/>`_. If you are planning on running MongoDB locally on the same machine as DeepForge, simply start `mongod` and continue to setting up DeepForge.
If you are planning on running MongoDB remotely, set the environment variable "MONGO_URI" to the URI of the Mongo instance that DeepForge will be using:
.. code-block:: bash
MONGO_URI="mongodb://pathToMyMongo.com:27017/myCollection" deepforge start
Server
~~~~~~
The DeepForge server is included with the deepforge cli and can be started simply with
.. code-block:: bash
deepforge start --server
By default, DeepForge will start on `http://localhost:8888`. However, the port can be specified with the `--port` option. For example:
.. code-block:: bash
deepforge start --server --port 3000
Worker
~~~~~~
The DeepForge worker can be started with
.. code-block:: bash
deepforge start --worker
The worker will install dependencies the first time it is run (including torch, if it is not already installed).
To connect to a remote deepforge instance, add the url of the DeepForge server:
.. code-block:: bash
deepforge start --worker http://myaddress.com:1234
Updating
~~~~~~~~
DeepForge can be updated with the command line interface rather simply:
.. code-block:: bash
deepforge update
By default, this will update both DeepForge and the local torch installation. To only update DeepForge, add the `--server` flag:
.. code-block:: bash
deepforge update --server
For more update options, check out `deepforge update --help`!
Manual Installation (Development)
---------------------------------
Installing DeepForge for development is essentially cloning the repository and then using `npm` (node package manager) to run the various start, test, etc, commands (including starting the individual components). The deepforge cli can still be used but must be referenced from `./bin/deepforge`. That is, `deepforge start` becomes `./bin/deepforge start` (from the project root).
DeepForge Server
~~~~~~~~~~~~~~~~
First, clone the repository:
.. code-block:: bash
git clone https://github.com/dfst/deepforge.git
Then install the project dependencies:
.. code-block:: bash
npm install
To run all components locally start with
.. code-block:: bash
./bin/deepforge start
and navigate to `http://localhost:8888` to start using DeepForge!
Alternatively, if jobs are going to be executed on an external worker, run `./bin/deepforge start -s` locally and navigate to `http://localhost:8888`.
DeepForge Worker
~~~~~~~~~~~~~~~~
If you are using `./bin/deepforge start -s` you will need to set up a DeepForge worker (`./bin/deepforge start` starts a local worker for you!). DeepForge workers are slave machines connected to DeepForge which execute the provided jobs. This allows the jobs to access the GPU, etc, and provides a number of benefits over trying to perform deep learning tasks in the browser.
Once DeepForge is installed on the worker, start it with
.. code-block:: bash
./bin/deepforge start -w
Note: If you are running the worker on a different machine, put the address of the DeepForge server as an argument to the command. For example:
.. code-block:: bash
./bin/deepforge start -w http://myaddress.com:1234
Updating
~~~~~~~~
Updating can be done the same as any other git project; that is, by running `git pull` from the project root. Sometimes, the dependencies need to be updated so it is recommended to run `npm install` following `git pull`.
-26
Ver Arquivo
@@ -1,26 +0,0 @@
Overview
========
DeepForge Component Overview
----------------------------
DeepForge is composed of four main elements:
- *Server*: Main component hosting all the project information and is connected to by the clients
- *Database*: MongoDB database containing DeepForge, job queue for the workers, etc
- *Worker*: Slave machine performing the actual machine learning computation
- *Client*: The connected browsers working on DeepForge projects.
Of course, only the *Server*, *Database* (MongoDB) and *Worker* need to be installed. If you are not going to execute any machine learning pipelines, installing the *Worker* can be skipped.
Component Dependencies
----------------------
The following dependencies are required for each component:
- *Server* (NodeJS v6.2.1)
- *Database* (MongoDB v3.0.7)
- *Worker*: NodeJS v6.2.1 (used for job management logic) and `Torch <http://torch.ch/docs/getting-started.html#>`_ (this will be installed automatically by the cli when needed)
- *Client*: We recommend using Google Chrome and are not supporting other browsers (for now). In other words, other browsers can be used at your own risk.
Configuration
-------------
After installing DeepForge, it can be helpful to check out `configuring DeepForge <getting_started/configuration.rst>`_
Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 37 KiB

-13
Ver Arquivo
@@ -1,13 +0,0 @@
Custom Data Types
=================
As operation inputs and outputs are strongly typed, DeepForge supports the creation of custom data types to promote flexibility when designing complex pipelines and operations. DeepForge data types can be either primitive types or custom classes. Custom DeepForge primitive types are relatively straight-forward; they can inherit from other types and must implement a serialization and deserialization methods (which may be as simple as :code:`torch.save` and :code:`torch.load`). Custom classes are also relatively simple to define but actually contain their own methods along with serialization and deserialization functions.
New data types can be defined from the operation editor from the dialog for selecting input or output data for the operation. After defining a new class, this class is available from within any of the operations in the DeepForge project.
.. figure:: model_data_editor.png
:align: center
:scale: 55 %
Editing the serialization and deserialization for the "model" type
-87
Ver Arquivo
@@ -1,87 +0,0 @@
Custom Layers
=============
DeepForge supports the creation of custom neural network layers using Torch7 and the easy usage of these layers in the visual architecture editor. Before creating custom layers, it is recommended to read about `creating custom layers in Torch7 <http://torch.ch/docs/developer-docs.html>`_.
A new custom layer can be created from the "add layer dialog" in the architecture editor. When creating a layer, DeepForge provides a code editor for creating custom neural network layers prepopulated with a basic template for defining the custom layer.
After defining the layer in the layer editor, DeepForge will provide this layer in the architecture editor and expose any configurable attributes for the layer. These attributes are parsed from the layer definition.
Best Practices
--------------
Here are a couple best practices to keep in mind when defining custom neural network layers:
- Use type assertions for layer, boolean attributes
- Return :code:`self` when defining setter functions
**Type assertions** should be used when defining layer attributes (ie, constructor arguments or arguments to a setter function). For example, consider the following layer definition for :code:`RecurrentAttention` which accepts an :code:`action` layer argument to its constructor.
.. code-block:: lua
local RecurrentAttention, parent = torch.class("nn.RecurrentAttention", "nn.AbstractSequencer")
function RecurrentAttention:__init(rnn, action, nStep, hiddenSize)
parent.__init(self)
assert(torch.isTypeOf(action, 'nn.Module'))
assert(torch.type(nStep) == 'number')
assert(torch.type(hiddenSize) == 'table')
assert(torch.type(hiddenSize[1]) == 'number', "Does not support table hidden layers" )
self.rnn = rnn
-- we can decorate the module with a Recursor to make it AbstractRecurrent
self.rnn = (not torch.isTypeOf(rnn, 'nn.AbstractRecurrent')) and nn.Recursor(rnn) or rnn
-- samples an x,y actions for each example
self.action = (not torch.isTypeOf(action, 'nn.AbstractRecurrent')) and nn.Recursor(action) or action
self.hiddenSize = hiddenSize
self.nStep = nStep
self.modules = {self.rnn, self.action}
self.output = {} -- rnn output
self.actions = {} -- action output
self.forwardActions = false
self.gradHidden = {}
end
In this example, :code:`assert(torch.isTypeOf(action, 'nn.Module'))` enforces that the :code:`action` variable is another neural network layer. After defining the layer, DeepForge will parse the layer definition and create a visual representation for use in the architecture editor. As this assertion enforces that :code:`action` is a neural network layer, DeepForge will update itself accordingly; in this case, editing the attribute will allow the user to hierarchically create nested neural network architectures to be passed as the :code:`action` argument to the constructor.
.. figure:: recurrent_attention.png
:align: center
:scale: 85 %
RecurrentAttention has attributes for each of the constructor arguments
An example of the generated visual model for the :code:`RecurrentAttention` is provided above. This layer has attributes for each of the constructor arguments defined in its definition. Clicking on the :code:`<none>` value for the :code:`action` attribute will then allow the user to provide layer inputs as shown below.
.. figure:: action_layer.png
:align: center
:scale: 55 %
Creating layer inputs for the "action" variable
The second best practice is to make sure to **return self in any setter functions**. An example of this can be found in the setters in the :code:`SpatialMaxPooling` layer shown below:
.. code-block:: lua
function SpatialMaxPooling:ceil()
self.ceil_mode = true
return self
end
function SpatialMaxPooling:floor()
self.ceil_mode = false
return self
end
Returning :code:`self` in setter functions is a good convention when defining neural network layers in Torch7 as it promotes simple and legible code such as
.. code-block:: lua
net:add(nn.SpatialMaxPooling(5, 5, 2, 2):ceil())
where :code:`net` is a container like a :code:`Sequential` layer. DeepForge enforces this convention and, if it finds a setter function (which also returns :code:`self`) in the layer definition will expose the internal variable (in this case :code:`ceil_mode`) to the user in the visual editor.
-69
Ver Arquivo
@@ -1,69 +0,0 @@
Custom Operations
=================
In this document we will outline the basics of custom operations including the operation editor and operation feedback utilities.
The Basics
----------
Operations are used in pipelines and have named, typed inputs and outputs. When creating a pipeline, if you don't currently find an operation for the given task, you can easily create your own by selecting the `New Operation...` operation from the add operation dialog. This will create a new operation definition and open it in the operation editor. The operation editor has two main parts, the interface editor and the implementation editor.
.. figure:: operation_editor.png
:align: center
:scale: 45 %
Editing the "train" operation provided in the "First Steps" section
The interface editor is provided on the left and presents the interface as a diagram showing the input data and output data as objects flowing into or out of the given operation. Selecting the operation node in the operation interface editor will expand the node and allow the user to add or edit attributes for the given operation. These attributes are exposed when using this operation in a pipeline and can be set at design time - that is, these are set when creating the given pipeline. The interface diagram may also contain light blue nodes flowing into the operation. These nodes represent "references" that the operation accepts as input before running. When using the operation, references will appear alongside the attributes but will allow the user to select from a list of all possible targets when clicked.
.. figure:: operation_interface.png
:align: center
:scale: 85 %
The train operation accepts training data, an architecture and criterion and returns a trained model
On the right of the operation editor is the implementation editor. The implementation editor is a code editor specially tailored for programming the implementations of operations in DeepForge. This includes some autocomplete support for common globals in this context like the :code:`deepforge` and :code:`torch` globals. It also is synchronized with the interface editor and will provide input to the interface editor about unused variables, etc. These errors will present themselves as error or warning highlights on the data in the interface editor. A section of the implementation is shown below:
.. code:: lua
trainer = nn.StochasticGradient(net, criterion)
trainer.learningRate = attributes.learningRate
trainer.maxIteration = attributes.maxIterations
print('training for ' .. tostring(attributes.maxIterations) .. ' iterations (max)')
print('learning rate is ' .. tostring(attributes.learningRate))
print(trainer)
-- Adding the error graph
graph = deepforge.Graph('Training Error') -- creating graph feedback
errLine = graph:line('error')
trainer.hookIteration = function(t, iter, currentErr)
errLine:add(iter, currentErr) -- reporting the current error (will update in real time in DeepForge)
end
trainer:train(trainset)
return {
net = net
}
The "train" operation uses the :code:`StochasticGradient` functionality from the :code:`nn` package to perform stochastic gradient descent. This operation sets all the parameters using values provided to the operation as either attributes or references. In the implementation, attributes are provided by the :code:`attributes` variable and provides access to the user defined attributes from within the implementation. References are treated similarly to operation inputs and are defined in variables of the same name. This can be seen with the :code:`net` and :code:`criterion` variables in the first line. Finally, operations return a table of their named outputs; in this example, it returns a single output named :code:`net`, that is, the trained neural network.
After defining the interface and implementation, we can now use the "train" operation in our pipelines! An example is shown below.
.. figure:: train_operation.png
:align: center
:scale: 85 %
Using the custom "train" operation in a pipeline
Operation feedback
------------------
Operations in DeepForge can generate metadata about its execution. This metadata is generated during the execution and provided back to the user in real-time. An example of this includes providing real-time plotting feedback of the loss function of a model while training. When implementing an operation in DeepForge, this metadata can be created using the :code:`deepforge` global.
.. figure:: graph_example.png
:align: center
:scale: 75 %
An example graph of the loss function while training a neural network
Detailed information about the available operation metadata types can be found in the `reference <reference/feedback_mechanisms.rst>`_.
Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 39 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 51 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 108 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 16 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 8.8 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 12 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 35 KiB

-32
Ver Arquivo
@@ -1,32 +0,0 @@
Getting Started
===============
.. _Torch: http://torch.ch
What is DeepForge?
------------------
Deep learning is a very promising, yet complex, area of machine learning. This complexity can both create a barrier to entry for those wanting to get involved in deep learning as well as slow the development of those already comfortable in deep learning.
DeepForge is a development environment for deep learning focused on alleviating these problems. Leveraging the flexibility of Torch_, DeepForge is able to reduce the complexity of using deep learning while still providing advanced features such as defining custom layers.
Design Goals
------------
As mentioned above, DeepForge focuses on two main goals:
1. **Improving the efficiency** of experienced data scientists/researchers in deep learning
2. **Lowering the barrier to entry** for newcomers to deep learning
It is important to highlight that although one of the goals is focused on lowering the barrier to entry, DeepForge is intended to be more than simply an educational tool; that is, it is important not to compromise on flexibility and effectiveness as a research/industry tool in order to provide an easier experience for beginners (that's what forks are for!).
Overview and Features
---------------------
DeepForge provides a collaborative, distributed development environment for deep learning. The development environment is a hybrid visual and textual programming environment. Higher levels of abstraction, such as creating architectures, use visual environments to capture the overall structure of the task while lower levels of abstraction, such as defining custom layers, utilize text environments to maintain the flexibility provided by torch.
Concepts and Terminology
~~~~~~~~~~~~~~~~~~~~~~~~
- *Architecture* - neural network architecture composed of torch defined layers
- *Operation* - essentially a function written in torch (such as `SGD`)
- *Pipeline* - directed acyclic graph composed of operations
- eg, a training pipeline may retrieve and normalize data, train an architecture and return the trained model
- *Execution* - when a pipeline is run, an "execution" is created and reports the status of each operation as it is run (distributed over a number of worker machines)
- *Artifact* - an artifact represents some data (either user uploaded or created during an execution)
-63
Ver Arquivo
@@ -1,63 +0,0 @@
First Steps
===========
DeepForge provides an example project for creating a classifier using the `CIFAR10 <https://www.kaggle.com/c/cifar-10>`_ dataset.
When first opening DeepForge in your browser (at `http://localhost:8888` if following the instructions from the `quick start <getting_started/installation.rst>`_), you will be prompted with a list of projects to open and provided the option to create a new project. For this example, let's click "Create new..." and name our project "hello_cifar".
.. figure:: create_project.png
:align: center
:scale: 65 %
Creating our "hello_cifar" example project
Clicking "Create" will bring us to a prompt for the "seed" for our project. Select "cifar10" from the dropdown and click "Create". This will now create our new project based on the cifar10 example provided with DeepForge.
.. figure:: set_seed.png
:align: center
:scale: 75 %
Selecting the "cifar10" example seed
In this example, we have three main pipelines: :code:`download-normalize`, :code:`train` and :code:`test`. :code:`download-normalize` downloads and prepares our data. The :code:`train` pipeline trains a neural network model on the cifar10 dataset and the :code:`test` pipeline tests our trained model on our test set from the cifar10 dataset.
.. figure:: pipelines.png
:align: center
:scale: 65 %
Three main pipelines in the cifar10 example project
First, we will have to retrieve and prepare the data by running the :code:`download-normalize` pipeline. This can be done by opening the given pipeline then selecting the `Execute Pipeline` option from the action button in the lower right. As soon as that pipeline finishes, we can now use this data to train a neural network.
Next, we can open the :code:`train` pipeline. Before we execute the pipeline we have to set the input training data that we will be using. This is done by selecting the :code:`Input` operation then clicking the value for the :code:`artifact` field. This will provide all the possible options for the input data; for this example, we will want to select the "trainingdata" artifact. After setting the input, we can click on the :code:`train` operation to inspect the hyperparameters we are using and the architecture we are training. Selecting the :code:`Output` operation will allow you to change the name of the resulting artifact of this operation (in this case, a trained model). Finally, we can execute this pipeline like before to train the model.
.. figure:: select_train_data.png
:align: center
:scale: 65 %
Selecting the training data for the input to the training pipeline
As this operation trains, we can view the status by viewing the running execution. The easiest way to view the running execution is by clicking the given execution from the execution tray in the bottom left when viewing the originating pipeline.
.. figure:: training_execution.png
:align: center
:scale: 65 %
Viewing the execution of the training pipeline
Once the model has been trained, we can test the given model using the :code:`test` pipeline. In this pipeline, we have a few more inputs to set: "testing data", "model to test" and the "human-readable class labels". If you aren't clear which operation provides which input, you can simply hover over it's connected port on the :code:`test` operation. This will provide a tooltip with the full name of the input.
.. figure:: test_pipeline.png
:align: center
:scale: 65 %
Viewing the execution of the testing pipeline
After setting the inputs for the :code:`test` pipeline (using the trained model and data from the first two pipelines), we can simply execute this pipeline to test our model. After executing the :code:`test` pipeline, we can view the execution and open the :code:`test` job to view the stdout for the given job. In the :code:`test` operation, this will allow us to view the printed accuracies of the model over each class.
.. figure:: test_results.png
:align: center
:scale: 65 %
Viewing the results of the testing operation
And that's it! We have just trained and tested our first neural network model using DeepForge. Although there are still a lot more advanced features that can be used, this should at least familiarize us with some of the core concepts in DeepForge.
Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 47 KiB

-19
Ver Arquivo
@@ -1,19 +0,0 @@
Quick Start
===========
The easiest way to get started quickly with DeepForge is using docker-compose. First, install `docker <https://docs.docker.com/engine/installation/>`_ and `docker-compose <https://docs.docker.com/compose/install/>`_.
Next, download the docker-compose file for DeepForge:
.. code-block:: bash
wget https://raw.githubusercontent.com/deepforge-dev/deepforge/master/docker-compose.yml
Then start DeepForge using docker-compose:
.. code-block:: bash
docker-compose up
and now DeepForge can be used by opening a browser to `http://localhost:8888 <http://localhost:8888>`_!
For detailed instructions about deployment installations, check out our `deployment installation instructions <getting_started/configuration.rst>`_
Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 6.7 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 17 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 44 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 55 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 46 KiB

-40
Ver Arquivo
@@ -1,40 +0,0 @@
.. DeepForge documentation master file, created by
sphinx-quickstart on Mon Mar 13 18:56:27 2017.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to DeepForge's documentation!
=====================================
.. toctree::
:maxdepth: 1
:caption: Getting Started
getting_started/getting_started.rst
getting_started/quick_start.rst
getting_started/hello_cifar.rst
.. toctree::
:maxdepth: 1
:caption: Fundamentals
fundamentals/custom_operations.rst
fundamentals/custom_layers.rst
fundamentals/custom_data_types.rst
.. toctree::
:maxdepth: 1
:caption: Deployment
deployment/overview.rst
deployment/native.rst
deployment/dockerized.rst
.. toctree::
:maxdepth: 1
:caption: Reference
reference/cli.rst
reference/configuration.rst
reference/operation_feedback.rst
reference/extensions.rst
-91
Ver Arquivo
@@ -1,91 +0,0 @@
Command Line Interface
======================
This document outlines the functionality of the deepforge command line interface (provided after installing deepforge with :code:`npm install -g deepforge`).
- Installation Configuration
- Starting DeepForge or Components
- Installing and Upgrading Torch
- Update or Uninstall DeepForge
- Managing Extensions
Installation Configuration
--------------------------
Installation configuration including the installation location of Torch7 and data storage locations. These can be edited using the :code:`deepforge config` command as shown in the following examples:
Printing all the configuration settings:
.. code-block:: bash
deepforge config
Printing the value of a configuration setting:
.. code-block:: bash
deepforge config torch.dir
Setting a configuration option, such as :code:`torch.dir` can be done with:
.. code-block:: bash
deepforge config torch.dir /some/new/directory
For more information about the configuration settings, check out the `configuration <configuration.rst>`_ page.
Starting DeepForge Components
-----------------------------
DeepForge components, such as the server or the workers, can be started with the :code:`deepforge start` command. By default, this command will start all the necessary components to run including the server, a mongo database (if applicable) and a worker.
The server can be started by itself using
.. code-block:: bash
deepforge start --server
The worker can be started by itself using
.. code-block:: bash
deepforge start --worker http://154.95.87.1:7543
where `http://154.95.87.1:7543` is the url of the deepforge server.
Installing and Upgrading Torch7
-------------------------------
Torch7 is lazily installed when starting a worker (if torch isn't already installed) with the rnn package. This installation can be manually updated as described in the update and installation section.
Update/Uninstall DeepForge
--------------------------
DeepForge can be updated or uninstalled using
.. code-block:: bash
deepforge update
The torch installation can be updated using
.. code-block:: bash
deepforge update --torch
DeepForge can be uninstalled using :code:`deepforge uninstall`
Managing Extensions
-------------------
DeepForge extensions can be installed and removed using the :code:`deepforge extensions` subcommand. Extensions can be added, removed and listed as shown below
.. code-block:: bash
deepforge extensions add https://github.com/example/some-extension
deepforge extensions remove some-extension
deepforge extensions list
-77
Ver Arquivo
@@ -1,77 +0,0 @@
Configuration
=============
Configuration of deepforge is done through the `deepforge config` command from the command line interface. To see all config options, simply run `deepforge config` with no additional arguments. This will print a JSON representation of the configuration settings similar to:
.. code-block:: bash
Current config:
{
"torch": {
"dir": "/home/irishninja/.deepforge/torch"
},
"blob": {
"dir": "/home/irishninja/.deepforge/blob"
},
"worker": {
"cache": {
"useBlob": true,
"dir": "~/.deepforge/worker/cache"
},
"dir": "~/.deepforge/worker"
},
"mongo": {
"dir": "~/.deepforge/data"
}
}
Setting an attribute, say `worker.cache.dir`, is done as follows
.. code-block:: bash
deepforge config worker.cache.dir /tmp
Environment Variables
---------------------
Most settings have a corresponding environment variable which can be used to override the value set in the cli's configuration. This allows the values to be temporarily set for a single run. For example, starting a worker with a different cache than set in `worker.cache.dir` can be done with:
.. code-block:: bash
DEEPFORGE_WORKER_CACHE=/tmp deepforge start -w
The complete list of the environment variable overrides for the configuration options can be found `here <https://github.com/deepforge-dev/deepforge/blob/master/bin/envConfig.json>`_.
Settings
--------
torch.dir
~~~~~~~~~
The path to the local installation of torch to be used by the deepforge worker. This is used when installing, upgrading and removing the local torch installation
blob.dir
~~~~~~~~
The path to the blob (large file storage containing models, datasets, etc) to be used by the deepforge server.
This can be overridden with the `DEEPFORGE_BLOB_DIR` environment variable.
worker.dir
~~~~~~~~~~
The path to the directory used for worker executions. The workers will run the executions from this directory.
This can be overridden with the `DEEPFORGE_WORKER_DIR` environment variable.
mongo.dir
~~~~~~~~~
The path to use for the `--dbpath` option of mongo if starting mongo using the command line interface. That is, if the MONGO_URI is set to a local uri and the cli is starting the deepforge server, the cli will check to verify that an instance of mongo is running locally. If not, it will start it on the given port and use this setting for the `--dbpath` setting of mongod.
worker.cache.dir
~~~~~~~~~~~~~~~~
The path to the worker cache directory.
This can be overridden with the `DEEPFORGE_WORKER_CACHE` environment variable.
worker.cache.useBlob
~~~~~~~~~~~~~~~~~~~~
When running the worker on the same machine as the server, this allows the worker to use the blob as a cache and simply create symbolic links to the data (eg, training data, models) to prevent having to even perform a copy of the data on the given machine.
This can be overridden with the `DEEPFORGE_WORKER_USE_BLOB` environment variable.
-53
Ver Arquivo
@@ -1,53 +0,0 @@
Operation Feedback
==================
DeepForge provides the `deepforge` global object in operation implementations for providing feedback during the execution. The various types of metadata are provided and discussed below.
Graphs
------
Real-time graphs can be created using the graph constructor:
.. code-block:: lua
local graph = deepforge.Graph('My Graph') -- created a new graph called "My Graph"
After creating a graph, lines can be added similarly.
.. code-block:: lua
local line1 = graph:line('first line') -- created a new line called "first line"
local line2 = graph:line('second line') -- created a second line called "second line"
Finally, points can be added to the lines by calling the `:add` method on the line and passing the x and y values for the given point.
.. code-block:: lua
line1:add(1, 3) -- adding point (1, 3) to line1
line2:add(1, 4) -- adding point (1, 4) to line2
line1:add(2, 5) -- adding point (2, 5) to line1
line2:add(2, 6) -- adding point (2, 6) to line2
Graphs can then label their axis as follows:
.. code-block:: lua
graph:xlabel('x axis') -- label the x axis "x axis"
graph:ylabel('y axis') -- label the y axis "y axis"
Images
------
Images can be created using:
.. code-block:: lua
local image = deepforge.Image('My Example Image', imageTensor)
The first argument is the title of the image and the second argument is the tensor for the image (optional). Both the title and the tensor can be updated during execution as follows.
.. code-block:: lua
image:title('My New Title') -- updating the image title
image:update(newTensor) -- updating the displayed image
Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 107 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 94 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 84 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 94 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 105 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 79 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 54 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 77 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 152 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 62 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 96 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 98 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 46 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 153 KiB

Arquivo binário não exibido.

Antes

Largura:  |  Altura:  |  Tamanho: 681 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 88 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 73 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 80 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 57 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 71 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 50 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 57 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 148 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 65 KiB

Arquivo binário não exibido.

Depois

Largura:  |  Altura:  |  Tamanho: 72 KiB

+4 -4
Ver Arquivo
@@ -42,10 +42,10 @@ detect_profile() {
detect_profile
set_node_version() {
# Install nodejs v6.2.1
echo "Installing NodeJS v6.2.1"
nvm install v6.2.1
nvm alias default v6.2.1
# Install nodejs v6.2.0
echo "Installing NodeJS v6.2.0"
nvm install v6.2.0
nvm alias default v6.2.0
# Install npm@2
npm install npm@2 -g
-4626
Ver Arquivo
Diferenças do arquivo suprimidas por serem muito extensas Carregar Diff
+6 -17
Ver Arquivo
@@ -1,44 +1,33 @@
{
"name": "deepforge",
"repository": {
"type": "git",
"url": "https://github.com/deepforge-dev/deepforge.git"
},
"bin": {
"deepforge": "./bin/deepforge"
},
"scripts": {
"start": "./bin/deepforge start",
"postinstall": "node utils/reinstall-extensions.js",
"start": "node app.js",
"start-dev": "NODE_ENV=dev node app.js",
"local": "node ./bin/start-local.js",
"worker": "node ./bin/start-worker.js",
"test": "mkdir ./test-tmp; mocha --recursive test",
"watch-test": "nodemon --exec 'mocha --recursive test'",
"test": "mkdir ./test-tmp; node ./node_modules/mocha/bin/mocha --recursive test",
"watch-test": "./node_modules/nodemon/bin/nodemon.js --exec 'node ./node_modules/mocha/bin/mocha --recursive test'",
"build-nn": "node ./utils/nn-parser.js"
},
"version": "1.4.1",
"version": "0.15.0",
"dependencies": {
"commander": "^2.9.0",
"dotenv": "^2.0.0",
"exists-file": "^2.1.0",
"express": "^4.14.0",
"graceful-fs": "^4.1.10",
"lodash.difference": "^4.1.2",
"lodash.merge": "^4.5.1",
"lodash.template": "^4.4.0",
"mongodb": "^2.2.10",
"nodemon": "^1.9.2",
"npm": "^4.0.5",
"q": "1.4.1",
"rimraf": "^2.4.0",
"tcp-port-used": "^0.1.2",
"webgme": "^2.7.1",
"webgme-autoviz": "^2.2.0",
"webgme": "^2.0.0",
"webgme-autoviz": "dfst/webgme-autoviz",
"webgme-breadcrumbheader": "^2.1.1",
"webgme-chflayout": "^2.0.0",
"webgme-easydag": "dfst/webgme-easydag",
"webgme-executor-worker": "^1.0.1",
"webgme-fab": "dfst/webgme-fab",
"webgme-simple-nodes": "^2.1.0"
},
+24 -51
Ver Arquivo
@@ -1,58 +1,31 @@
/* globals define */
(function(root, factory){
if(typeof define === 'function' && define.amd) {
define([], function(){
return factory();
});
} else if(typeof module === 'object' && module.exports) {
module.exports = factory();
} else {
root.CONSTANTS = factory();
}
}(this, function() {
return {
CONTAINED_LAYER_SET: 'addLayers',
CONTAINED_LAYER_INDEX: 'index',
define({
LINE_OFFSET: 'lineOffset',
LINE_OFFSET: 'lineOffset',
DISPLAY_COLOR: 'displayColor',
// DeepForge metadata creation in dist execution
START_CMD: 'deepforge-cmd',
// DeepForge metadata creation in dist execution
START_CMD: 'deepforge-cmd',
IMAGE: { // all prefixed w/ 'IMG' for simple upload detection
PREFIX: 'IMG',
BASIC: 'IMG-B',
CREATE: 'IMG-C',
UPDATE: 'IMG-U',
NAME: 'IMAGE-N' // No upload required
},
IMAGE: { // all prefixed w/ 'IMG' for simple upload detection
PREFIX: 'IMG',
BASIC: 'IMG-B',
CREATE: 'IMG-C',
UPDATE: 'IMG-U',
NAME: 'IMAGE-N' // No upload required
},
GRAPH_CREATE: 'GRAPH',
GRAPH_PLOT: 'PLOT',
GRAPH_CREATE_LINE: 'LINE',
GRAPH_CREATE: 'GRAPH',
GRAPH_PLOT: 'PLOT',
GRAPH_CREATE_LINE: 'LINE',
GRAPH_LABEL_AXIS: {
X: 'X',
Y: 'Y'
},
// Code Generation Constants
CTOR_ARGS_ATTR: 'ctor_arg_order',
// Code Generation Constants
CTOR_ARGS_ATTR: 'ctor_arg_order',
// Operation types
OP: {
INPUT: 'Input',
OUTPUT: 'Output'
},
// Operation types
OP: {
INPUT: 'Input',
OUTPUT: 'Output'
},
// Heartbeat constants (ExecPulse router)
PULSE: {
DEAD: 0,
ALIVE: 1,
DOESNT_EXIST: 2
},
// Job stdout update
STDOUT_UPDATE: 'stdout_update'
};
}));
// Job stdout update
STDOUT_UPDATE: 'stdout_update'
});
@@ -1,38 +1,51 @@
/* globals define */
define([
'./APIClient',
'q',
'superagent'
], function(
APIClient,
Q,
superagent
) {
'use strict';
// Wrap the ability to read, update, and delete logs using the JobLogsAPI
var METADATA_FIELDS = [
'lineCount'
];
var JobLogsClient = function(params) {
params = params || {};
this.relativeUrl = '/execution/logs';
this.logger = params.logger.fork('JobLogsClient');
APIClient.call(this, params);
// Get the server url
this.token = params.token;
this.origin = this._getServerUrl(params);
this.relativeUrl = '/execution/logs';
this.url = this.origin + this.relativeUrl;
this.logger.debug(`Setting url to ${this.url}`);
// Get the project, branch name
if (!(params.branchName && params.projectId)) {
throw Error('"branchName" and "projectId" required');
}
this.branch = params.branchName;
this.project = params.projectId;
this._modifiedJobs = [];
this.logger.debug(`Using <project>:<branch>: "${this.project}"/"${this.branch}"`);
this.logger.info('ctor finished');
};
JobLogsClient.prototype = Object.create(APIClient.prototype);
JobLogsClient.prototype._getServerUrl = function(params) {
if (typeof window !== 'undefined') {
return window.location.origin;
}
// If not in browser, set using the params
var server = params.server || '127.0.0.1',
port = params.port || '80',
protocol = params.httpsecure ? 'https' : 'http'; // default is http
return params.origin || `${protocol}://${server}:${port}`;
};
// This method could be optimized - it could make a log of requests
JobLogsClient.prototype.fork = function(forkName) {
@@ -66,54 +79,53 @@ define([
};
JobLogsClient.prototype.getUrl = function(jobId) {
var url = this.url;
if (typeof jobId !== 'string') {
url = this.url + jobId.route;
jobId = jobId.jobId;
}
return [
url,
this.url,
encodeURIComponent(this.project),
encodeURIComponent(this.branch),
encodeURIComponent(jobId)
].join('/');
};
var hasRequiredFields = function(md) {
return METADATA_FIELDS.reduce((passing, nextField) => {
return passing && md.hasOwnProperty(nextField);
}, true);
JobLogsClient.prototype._logRequest = function(method, jobId, content) {
var deferred = Q.defer(),
req = superagent[method](this.getUrl(jobId));
this.logger.info(`sending ${method} request to ${this.getUrl(jobId)}`);
if (this.token) {
req.set('Authorization', 'Bearer ' + this.token);
}
if (content) {
req = req.send(content);
}
req.end((err, res) => {
if (err || res.status > 399) {
return deferred.reject(err || res.status);
}
return deferred.resolve(res);
});
return deferred.promise;
};
JobLogsClient.prototype.appendTo = function(jobId, text, metadata) {
JobLogsClient.prototype.appendTo = function(jobId, text) {
this._modifiedJobs.push(jobId);
this.logger.info(`Appending logs to ${jobId}`);
if (metadata && !hasRequiredFields(metadata)) {
throw Error(`Required metadata fields: ${METADATA_FIELDS.join(', ')}`);
}
metadata = metadata || {};
metadata.patch = text;
return this._request('patch', jobId, metadata);
return this._logRequest('patch', jobId, {patch: text});
};
JobLogsClient.prototype.getLog = function(jobId) {
this.logger.info(`Getting logs for ${jobId}`);
return this._request('get', jobId)
return this._logRequest('get', jobId)
.then(res => res.text);
};
JobLogsClient.prototype.deleteLog = function(jobId) {
this.logger.info(`Deleting logs for ${jobId}`);
return this._request('delete', jobId);
};
JobLogsClient.prototype.getMetadata = function(jobId) {
this.logger.info(`Getting line count for ${jobId}`);
return this._request('get', {jobId: jobId, route: '/metadata'})
.then(res => JSON.parse(res.text));
return this._logRequest('delete', jobId);
};
return JobLogsClient;
+2 -4
Ver Arquivo
@@ -265,7 +265,6 @@
var findTorchClass = function(ast){
var torchClassArgs, // args for `torch.class(...)`
name = '',
alias,
baseType,
params,
setters = {},
@@ -284,7 +283,6 @@
name = torchClassArgs[0];
if(name !== ''){
name = name.replace('nn.', '');
alias = func.names[0] || name;
if (torchClassArgs.length > 1) {
baseType = torchClassArgs[1].replace('nn.', '');
}
@@ -304,7 +302,7 @@
attrName;
// Record the setter functions
if (isSetterMethod(curr, parent, alias)) {
if (isSetterMethod(curr, parent, name)) {
firstLine = curr.block.stats[0];
// just use the attribute attrName for now...
attrName = getSettingAttrName(firstLine);
@@ -318,7 +316,7 @@
} else {
setters[attrName] = schema;
}
} else if (isInitFn(curr, alias)) { // Record the defaults
} else if (isInitFn(curr, name)) { // Record the defaults
paramDefs = getAttrsAndVals(curr);
attrDefs = getClassAttrDefs(curr);
types = inferParamTypes(curr, paramDefs);
-75
Ver Arquivo
@@ -1,75 +0,0 @@
/*globals define*/
define([
'q',
'superagent'
], function(
Q,
superagent
) {
'use strict';
// Wrap the ability to read, update, and delete logs using the JobLogsAPI
var APIClient = function(params) {
params = params || {};
this.logger = this.logger || params.logger.fork('APIClient');
// Get the server url
this.token = params.token;
this.origin = this._getServerUrl(params);
this.relativeUrl = this.relativeUrl || '';
this.url = this.origin + this.relativeUrl;
this.logger.debug(`Setting url to ${this.url}`);
this.branch = params.branchName;
this.project = params.projectId;
this._modifiedJobs = [];
this.logger.debug(`Using <project>:<branch>: "${this.project}"/"${this.branch}"`);
this.logger.info('ctor finished');
};
APIClient.prototype._getServerUrl = function(params) {
if (typeof window !== 'undefined') {
return window.location.origin;
}
// If not in browser, set using the params
var server = params.server || '127.0.0.1',
port = params.port || '80',
protocol = params.httpsecure ? 'https' : 'http'; // default is http
return params.origin || `${protocol}://${server}:${port}`;
};
APIClient.prototype.getUrl = function() {
return this.url;
};
APIClient.prototype._request = function(method, jobId, content) {
var deferred = Q.defer(),
req = superagent[method](this.getUrl(jobId));
this.logger.debug(`sending ${method} request to ${this.getUrl(jobId)}`);
if (this.token) {
req.set('Authorization', 'Bearer ' + this.token);
}
if (content) {
req = req.send(content);
}
req.end((err, res) => {
if (err || res.status > 399) {
return deferred.reject(res || err);
}
return deferred.resolve(res);
});
return deferred.promise;
};
return APIClient;
});
-44
Ver Arquivo
@@ -1,44 +0,0 @@
/* globals define */
define([
'./APIClient'
], function(
APIClient
) {
'use strict';
var ExecPulseClient = function(params) {
this.relativeUrl = '/execution/pulse/';
this.logger = params.logger.fork('ExecPulseClient');
APIClient.call(this, params);
};
ExecPulseClient.prototype = Object.create(APIClient.prototype);
ExecPulseClient.prototype.getUrl = function(hash) {
return this.url + hash;
};
// - update the heartbeat
// - check the heartbeat
// - delete the heartbeat
ExecPulseClient.prototype.update = function(hash) {
return this._request('post', hash)
.catch(err => {
throw err.text || err;
});
};
ExecPulseClient.prototype.check = function(hash) {
return this._request('get', hash)
.then(res => JSON.parse(res.text))
.catch(err => {
throw err.text || err;
});
};
ExecPulseClient.prototype.clear = function(hash) {
return this._request('delete', hash);
};
return ExecPulseClient;
});
-60
Ver Arquivo
@@ -1,60 +0,0 @@
/* globals define */
define([
'./APIClient'
], function(
APIClient
) {
'use strict';
var JobOriginClient = function(params) {
this.relativeUrl = '/job/origins/';
this.logger = params.logger.fork('JobOriginClient');
APIClient.call(this, params);
};
JobOriginClient.prototype = Object.create(APIClient.prototype);
// - Record the origin
// - Look up the origin
// - Delete record
JobOriginClient.prototype.getUrl = function(hash) {
return this.url + hash;
};
JobOriginClient.prototype.record = function(hash, info) {
var jobInfo = {
hash: hash,
nodeId: info.nodeId,
job: info.job,
project: info.project || this.project,
branch: info.branch || this.branch,
execution: info.execution
};
return this._request('post', hash, jobInfo)
.catch(err => {
throw err.text || err;
});
};
JobOriginClient.prototype.getOrigin = function(hash) {
return this._request('get', hash)
.then(res => JSON.parse(res.text))
.catch(res => {
if (res.status && res.status === 404) {
return null;
}
throw res;
});
};
JobOriginClient.prototype.fork = function(hash, forkName) {
return this._request('patch', hash, {branch: forkName});
};
JobOriginClient.prototype.deleteRecord = function(hash) {
return this._request('delete', hash);
};
return JobOriginClient;
});
+10 -15
Ver Arquivo
@@ -57,7 +57,7 @@ define([
};
var createNamedNode = function(baseId, parentId, isMeta) {
var newId = client.createNode({parentId, baseId}),
var newId = client.createChild({parentId, baseId}),
baseNode = client.getNode(baseId),
basename = 'New' + baseNode.getAttribute('name'),
newName = getUniqueName(parentId, basename);
@@ -72,7 +72,7 @@ define([
client.setRegistry(newId, 'isAbstract', false);
}
client.setAttribute(newId, 'name', newName);
client.setAttributes(newId, 'name', newName);
return newId;
};
@@ -83,9 +83,7 @@ define([
exists = {},
i = 2;
children
.filter(child => child !== null)
.forEach(child => exists[child.getAttribute('name')] = true);
children.forEach(child => exists[child.getAttribute('name')] = true);
while (exists[name]) {
name = basename + '_' + i;
@@ -193,7 +191,7 @@ define([
.getId();
// Look up the parent container
return DeepForge.places[placeName]().then(parentId => {
DeepForge.places[placeName]().then(parentId => {
client.startTransaction(msg);
newId = createNamedNode(baseId, parentId, !!metasheetName);
@@ -267,12 +265,14 @@ define([
}
dataBaseId = dataBase.getId();
dataTypes = metanodes.filter(n => n.isTypeOf(dataBaseId))
dataTypes = metanodes.filter(n => client.isTypeOf(n.getId(), dataBaseId))
.filter(n => !n.getRegistry('isAbstract'))
.map(node => node.getAttribute('name'));
// Add the target type to the pluginMetadata...
var metadata = WebGMEGlobal.allPluginsMetadata[UPLOAD_PLUGIN],
//this.logger.info(`Found ${dataTypes.length} data types`);
// Add the target type to the pluginMetadata... hacky :/
var metadata = WebGMEGlobal.allPluginsMetadata[UPLOAD_PLUGIN],
config = metadata.configStructure
.find(opt => opt.name === DATA_TYPE_CONFIG.name);
@@ -297,8 +297,7 @@ define([
};
DeepForge.last = {};
DeepForge.create = {};
DeepForge.register = {};
DeepForge.create = {};
instances.forEach(type => {
DeepForge.create[type] = function() {
return createNew.call(null, type);
@@ -309,10 +308,6 @@ define([
DeepForge.create[type] = function() {
return createNew.call(null, type, type);
};
DeepForge.register[type] = function(id) {
// Add the given element to the metasheet!
return addToMetaSheet(id, type);
};
});
DeepForge.create.Layer = createCustomLayer;
+1 -1
Ver Arquivo
@@ -2565,7 +2565,7 @@ function LuaContext(){
case 'number':
return c;
case 'string':
return parseInt(c) || dummy0;
return parseInt(s) || dummy0;
default:
if (c == dummy0){
return c;
+22 -20
Ver Arquivo
@@ -20,13 +20,13 @@ define([
var output = cntrs
.find(cntr => {
var metaNode = this.core.getMetaType(cntr),
metaName = this.getAttribute(metaNode, 'name');
metaName = this.core.getAttribute(metaNode, 'name');
return metaName === 'Outputs';
});
return this.core.loadChildren(output);
})
.then(dataNodes => {
hash = this.getAttribute(dataNodes[0], 'data');
hash = this.core.getAttribute(dataNodes[0], 'data');
return this.getOutputs(node);
})
.then(outputTuples => {
@@ -48,7 +48,7 @@ define([
var hash,
typeId = this.core.getPointerPath(node, 'type'),
type,
artifactName = this.getAttribute(node, 'artifactName');
artifactName = this.core.getAttribute(node, 'artifactName');
return this.core.loadByPath(this.rootNode, typeId)
.then(_type => {
@@ -58,20 +58,25 @@ define([
.then(saveDir => this.core.loadChildren(saveDir))
.then(artifacts => {
return artifacts.find(artifact =>
this.getAttribute(artifact, 'name') === artifactName &&
this.core.getAttribute(artifact, 'name') === artifactName &&
this.isMetaTypeOf(artifact, type));
})
.then(matchingArtifact => {
hash = matchingArtifact && this.getAttribute(matchingArtifact, 'data');
hash = matchingArtifact && this.core.getAttribute(matchingArtifact, 'data');
// If no hash, just continue (the subsequent ops will receive 'nil')
if (!hash) {
return this.onOperationComplete(node);
} else {
return this.getOutputs(node)
.then(outputPairs => {
var outputs = outputPairs.map(pair => pair[2]);
var outputs = outputPairs.map(pair => pair[2]),
paths;
paths = outputs.map(output => this.core.getPath(output));
// Get the 'data' hash and store it in the output data ports
outputs.forEach(output => this.setAttribute(output, 'data', hash));
this.logger.info(`Loading blob data (${hash}) to ${paths.map(p => `"${p}"`)}`);
outputs.forEach(output => this.core.setAttribute(output, 'data', hash));
this.onOperationComplete(node);
});
@@ -94,7 +99,7 @@ define([
if (containers.length > 1) {
saveDir = containers.find(c =>
this.getAttribute(c, 'name').toLowerCase().indexOf('artifacts') > -1
this.core.getAttribute(c, 'name').toLowerCase().indexOf('artifacts') > -1
) || containers[0];
}
@@ -116,8 +121,8 @@ define([
.then(artifacts => {
currNameHashPairs = artifacts
.map(node => [
this.getAttribute(node, 'name'),
this.getAttribute(node, 'data')
this.core.getAttribute(node, 'name'),
this.core.getAttribute(node, 'data')
]);
return this.getInputs(node);
})
@@ -137,9 +142,9 @@ define([
// Remove nodes that already exist
dataNodes = allDataNodes.filter(dataNode => {
var hash = this.getAttribute(dataNode, 'data'),
var hash = this.core.getAttribute(dataNode, 'data'),
name = this.core.getOwnAttribute(node, 'saveName') ||
this.getAttribute(dataNode, 'name');
this.core.getAttribute(dataNode, 'name');
return !(currNameHashPairs
.find(pair => pair[0] === name && pair[1] === hash));
@@ -148,16 +153,13 @@ define([
// get the input node
if (dataNodes.length !== 0) {
var newNodes = this.core.copyNodes(dataNodes, parentNode),
newName = this.core.getOwnAttribute(node, 'saveName'),
createdAt = Date.now();
newName = this.core.getOwnAttribute(node, 'saveName');
if (newName) {
newNodes.forEach(node => {
this.setAttribute(node, 'name', newName);
this.setAttribute(node, 'createdAt', createdAt);
});
newNodes.forEach(node =>
this.core.setAttribute(node, 'name', newName)
);
}
var hashes = dataNodes.map(n => this.getAttribute(n, 'data'));
var hashes = dataNodes.map(n => this.core.getAttribute(n, 'data'));
this.logger.info(`saving hashes: ${hashes.map(h => `"${h}"`)}`);
} else if (allDataNodes.length === 0) {
this.logger.warn('No data nodes found!');
-35
Ver Arquivo
@@ -1,35 +0,0 @@
/*globals define */
// This is a mixin containing helpers for working with operation nodes
define([],function() {
var OperationOps = function() {
};
OperationOps.prototype.getOutputs = function (node) {
return this.getOperationData(node, this.META.Outputs);
};
OperationOps.prototype.getInputs = function (node) {
return this.getOperationData(node, this.META.Inputs);
};
OperationOps.prototype.getOperationData = function (node, metaType) {
// Load the children and the output's children
return this.core.loadChildren(node)
.then(containers => {
var outputs = containers.find(c => this.core.isTypeOf(c, metaType));
return outputs ? this.core.loadChildren(outputs) : [];
})
.then(outputs => {
var bases = outputs.map(node => this.core.getMetaType(node));
// return [[arg1, Type1, node1], [arg2, Type2, node2]]
return outputs.map((node, i) => [
this.getAttribute(node, 'name'),
this.getAttribute(bases[i], 'name'),
node
]);
});
};
return OperationOps;
});
+13 -51
Ver Arquivo
@@ -6,64 +6,27 @@ define([
PluginUtils,
Q
) {
var CodeGen = {
Operation: {
pluginId: 'GenerateJob',
namespace: 'pipeline'
}
};
var PtrCodeGen = function() {
};
PtrCodeGen.prototype.getCodeGenPluginIdFor = function(node) {
var base = this.core.getBase(node),
name = this.core.getAttribute(node, 'name'),
namespace = this.core.getNamespace(node),
pluginId;
//this.logger.debug(`loaded pointer target of ${ptrId}: ${ptrNode}`);
pluginId = (this.core.getOwnRegistry(node, 'validPlugins') || '').split(' ').shift();
//this.logger.info(`generating code for ${this.core.getAttribute(ptrNode, 'name')} using ${pluginId}`);
if (this.core.isMetaNode(node) && CodeGen[name]) {
pluginId = CodeGen[name].pluginId || CodeGen[name];
namespace = CodeGen[name].namespace;
}
if (pluginId) {
return {
namespace: namespace,
pluginId: pluginId
};
} else if (base) {
return this.getCodeGenPluginIdFor(base);
} else {
return null;
}
};
PtrCodeGen.prototype.getPtrCodeHash = function(ptrId) {
return this.core.loadByPath(this.rootNode, ptrId)
.then(ptrNode => {
// Look up the plugin to use
var genInfo = this.getCodeGenPluginIdFor(ptrNode);
var metanode = this.core.getMetaType(ptrNode),
pluginId;
if (genInfo.pluginId) {
var context = {
namespace: genInfo.namespace,
activeNode: this.core.getPath(ptrNode)
};
this.logger.debug(`loaded pointer target of ${ptrId}: ${ptrNode}`);
pluginId = this.core.getRegistry(ptrNode, 'validPlugins').split(' ').shift();
this.logger.info(`generating code for ${this.core.getAttribute(ptrNode, 'name')} using ${pluginId}`);
// Load and run the plugin
return this.executePlugin(genInfo.pluginId, context);
} else {
var metanode = this.core.getMetaType(ptrNode),
type = this.core.getAttribute(metanode, 'name');
this.logger.warn(`Could not find plugin for ${type}. Will try to proceed anyway`);
return null;
}
var context = {
namespace: this.core.getNamespace(metanode),
activeNode: this.core.getPath(ptrNode)
};
// Load and run the plugin
return this.executePlugin(pluginId, context);
})
.then(hashes => hashes[0]); // Grab the first asset for now
};
@@ -93,13 +56,12 @@ define([
return PluginUtils.loadNodesAtCommitHash(
this.project,
this.core,
this.currentHash,
this.commitHash,
this.logger,
opts
).then(config => {
plugin.initialize(logger, this.blobClient, this.gmeConfig);
config.core = this.core;
config.project = this.project;
plugin.configure(config);
return plugin;
});
+1 -73
Ver Arquivo
@@ -1,10 +1,8 @@
/*globals define, WebGMEGlobal*/
define([
'deepforge/globals',
'widgets/EasyDAG/Buttons',
'widgets/EasyDAG/Icons'
], function(
DeepForge,
EasyDAGButtons,
Icons
) {
@@ -59,79 +57,9 @@ define([
return n && n.getBaseId();
};
var CloneAndEdit = function(params) {
GoToBase.call(this, params);
};
CloneAndEdit.prototype = Object.create(GoToBase.prototype);
CloneAndEdit.prototype.BTN_CLASS = 'clone-and-edit';
CloneAndEdit.prototype._render = function() {
var lineRadius = GoToBase.SIZE - GoToBase.BORDER,
btnColor = '#a5d6a7';
if (this.disabled) {
btnColor = '#e0e0e0';
}
this.$el
.append('circle')
.attr('r', GoToBase.SIZE)
.attr('fill', btnColor);
// Show the 'code' icon
Icons.addIcon('code', this.$el, {
radius: lineRadius
});
};
CloneAndEdit.prototype._onClick = function(item) {
var node = client.getNode(item.id),
baseId = node && node.getBaseId(),
base = baseId && client.getNode(baseId),
typeId = base && base.getBaseId(),
type = typeId && client.getNode(typeId),
ctrName,
typeName,
name,
newId;
// Clone the given node's base and change to it
if (type) {
typeName = type.getAttribute('name');
ctrName = `My${typeName}s`;
if (DeepForge.places[ctrName]) {
DeepForge.places[ctrName]().then(ctrId => {
type = base.getAttribute('name');
client.startTransaction(`Creating new ${typeName} from ${item.name}`);
newId = client.copyNode(baseId, ctrId);
name = node.getAttribute('name');
client.setAttribute(newId, 'name', 'Copy of ' + name);
DeepForge.register[typeName](newId);
client.completeTransaction();
WebGMEGlobal.State.registerActiveObject(newId);
});
}
} else {
this._logger.warn('Could not find the base node!');
}
};
var Insert = function(params) {
EasyDAGButtons.ButtonBase.call(this, params);
};
Insert.prototype = Object.create(EasyDAGButtons.Add.prototype);
Insert.prototype._onClick = function(item) {
this.onInsertButtonClicked(item);
};
return {
DeleteOne: EasyDAGButtons.DeleteOne,
GoToBase: GoToBase,
CloneAndEdit: CloneAndEdit,
Insert: Insert
GoToBase: GoToBase
};
});
+19 -113
Ver Arquivo
@@ -3,31 +3,21 @@
define([
'q',
'executor/ExecutorClient',
'deepforge/api/ExecPulseClient',
'deepforge/api/JobOriginClient',
'deepforge/Constants',
'panel/FloatingActionButton/styles/Materialize'
], function(
Q,
ExecutorClient,
ExecPulseClient,
JobOriginClient,
CONSTANTS,
Materialize
) {
var Execute = function(client, logger) {
this.client = this.client || client;
this.logger = this.logger || logger;
this.pulseClient = new ExecPulseClient({
logger: this.logger
});
this._executor = new ExecutorClient({
logger: this.logger.fork('ExecutorClient'),
serverPort: WebGMEGlobal.gmeConfig.server.port,
httpsecure: window.location.protocol === 'https:'
});
this.originManager = new JobOriginClient({logger: this.logger});
};
Execute.prototype.executeJob = function(node) {
@@ -112,21 +102,6 @@ define([
.fail(err => this.logger.error(`Job cancel failed: ${err}`));
};
Execute.prototype._setJobStopped = function(jobId, silent) {
if (!silent) {
var name = this.client.getNode(jobId).getAttribute('name');
this.client.startTransaction(`Stopping "${name}" job`);
}
this.client.delAttribute(jobId, 'jobId');
this.client.delAttribute(jobId, 'secret');
this.client.setAttribute(jobId, 'status', 'canceled');
if (!silent) {
this.client.completeTransaction();
}
};
Execute.prototype.stopJob = function(job, silent) {
var jobId;
@@ -134,7 +109,18 @@ define([
jobId = job.getId();
this.silentStopJob(job);
this._setJobStopped(jobId, silent);
if (!silent) {
this.client.startTransaction(`Stopping "${name}" job`);
}
this.client.delAttributes(jobId, 'jobId');
this.client.delAttributes(jobId, 'secret');
this.client.setAttributes(jobId, 'status', 'canceled');
if (!silent) {
this.client.completeTransaction();
}
};
@@ -179,17 +165,14 @@ define([
};
Execute.prototype._stopExecution = function(execNode, inTransaction) {
var msg = `Canceling ${execNode.getAttribute('name')} execution`,
jobIds;
var msg = `Canceling ${execNode.getAttribute('name')} execution`;
if (!inTransaction) {
this.client.startTransaction(msg);
}
jobIds = this._silentStopExecution(execNode);
this.client.setAttribute(execNode.getId(), 'status', 'canceled');
jobIds.forEach(jobId => this._setJobStopped(jobId, true));
this._silentStopExecution(execNode);
this.client.setAttributes(execNode.getId(), 'status', 'canceled');
if (!inTransaction) {
this.client.completeTransaction();
@@ -197,88 +180,11 @@ define([
};
Execute.prototype._silentStopExecution = function(execNode) {
var runningJobIds = execNode.getChildrenIds()
.map(id => this.client.getNode(id))
.filter(job => this.isRunning(job)); // get running jobs
var jobIds = execNode.getChildrenIds();
runningJobIds.forEach(job => this.silentStopJob(job)); // stop them
return runningJobIds;
};
// Resuming Executions
Execute.prototype.checkJobExecution= function (job) {
var pipelineId = job.getParentId(),
pipeline = this.client.getNode(pipelineId);
// First check the parent execution. If it doesn't exist, then check the job
return this.checkPipelineExecution(pipeline)
.then(tryToStartJob => {
if (tryToStartJob) {
return this._checkJobExecution(job);
}
});
};
Execute.prototype._checkJobExecution = function (job) {
var jobId = job.getAttribute('jobId'),
status = job.getAttribute('status');
if (status === 'running' && jobId) {
return this.pulseClient.check(jobId)
.then(status => {
if (status !== CONSTANTS.PULSE.DOESNT_EXIST) {
return this._onOriginBranch(jobId).then(onBranch => {
if (onBranch) {
this.runExecutionPlugin('ExecuteJob', {
node: job
});
}
});
} else {
this.logger.warn(`Could not restart job: ${job.getId()}`);
}
});
}
return Q();
};
Execute.prototype._onOriginBranch = function (hash) {
return this.originManager.getOrigin(hash)
.then(origin => {
var currentBranch = this.client.getActiveBranchName();
if (origin && origin.branch) {
return origin.branch === currentBranch;
}
return false;
});
};
Execute.prototype.checkPipelineExecution = function (pipeline) {
var runId = pipeline.getAttribute('runId'),
status = pipeline.getAttribute('status'),
tryToStartJob = true;
if (status === 'running' && runId) {
return this.pulseClient.check(runId)
.then(status => {
if (status === CONSTANTS.PULSE.DEAD) {
// Check the origin branch
return this._onOriginBranch(runId).then(onBranch => {
if (onBranch) {
this.runExecutionPlugin('ExecutePipeline', {
node: pipeline
});
}
});
}
// only try to start if the pulse info doesn't exist
tryToStartJob = status === CONSTANTS.PULSE.DOESNT_EXIST;
return tryToStartJob;
});
} else {
return Q().then(() => tryToStartJob);
}
jobIds.map(id => this.client.getNode(id))
.filter(job => this.isRunning(job)) // get running jobs
.forEach(job => this.silentStopJob(job)); // stop them
};
return Execute;
-4
Ver Arquivo
@@ -4,11 +4,9 @@
// adding a "plus" button for creating new objects in line
define([
'deepforge/Constants',
'q',
'css!./NodePrompter.css'
], function(
Constants,
Q
) {
@@ -273,14 +271,12 @@ define([
};
var Container = function(svg, node) { // used for positioning
var colorAttr = node.attributes[Constants.DISPLAY_COLOR];
this.$el = svg.append('g');
this.x = 0;
this.y = 0;
this.node = node;
this.decorator = new node.Decorator({
node: node,
color: colorAttr && colorAttr.value,
parentEl: this.$el
});
};
+1 -5
Ver Arquivo
@@ -65,7 +65,7 @@ define([
PipelineControl.prototype.createNode = function(baseId) {
var parentId = this._currentNodeId,
newNodeId = this._client.createNode({parentId, baseId});
newNodeId = this._client.createChild({parentId, baseId});
return newNodeId;
};
@@ -103,10 +103,6 @@ define([
delete desc.attributes.code;
}
// Handle the display color
desc.displayColor = desc.attributes[CONSTANTS.DISPLAY_COLOR].value;
delete desc.attributes[CONSTANTS.DISPLAY_COLOR];
} else if (desc.isConnection) {
// Set src, dst to siblings and add srcPort, dstPort
desc.srcPort = desc.src;
+1 -1
Ver Arquivo
@@ -49,7 +49,7 @@ define([
if (!/^\s*$/.test(newValue)) {
this._client.startTransaction(msg);
this._client.setAttribute(nodeId, 'name', newValue);
this._client.setAttributes(nodeId, 'name', newValue);
this._client.completeTransaction();
}
}
-41
Ver Arquivo
@@ -1,41 +0,0 @@
/* globals define */
define([
'panels/EasyDAG/EasyDAGControl'
], function(
EasyDAGControl
) {
var ThumbnailControl = function() {
EasyDAGControl.apply(this, arguments);
};
ThumbnailControl.prototype = Object.create(EasyDAGControl.prototype);
ThumbnailControl.prototype._initWidgetEventHandlers = function () {
EasyDAGControl.prototype._initWidgetEventHandlers.call(this);
this._widget.updateThumbnail = this.updateThumbnail.bind(this);
};
ThumbnailControl.prototype.updateThumbnail = function (svg) {
var node = this._client.getNode(this._currentNodeId),
name,
attrs,
currentThumbnail,
attrName = 'thumbnail',
msg;
if (node) { // may have been deleted
name = node.getAttribute('name');
attrs = node.getValidAttributeNames();
currentThumbnail = node.getAttribute(attrName);
msg = `Updating pipeline thumbnail for "${name}"`;
if (attrs.indexOf(attrName) > -1 && currentThumbnail !== svg) {
this._client.startTransaction(msg);
this._client.setAttribute(this._currentNodeId, attrName, svg);
this._client.completeTransaction();
}
}
};
return ThumbnailControl;
});
-84
Ver Arquivo
@@ -1,84 +0,0 @@
/* globals define, $, _ */
define([
'widgets/EasyDAG/EasyDAGWidget'
], function(
EasyDAGWidget
) {
var ThumbnailWidget = function() {
EasyDAGWidget.apply(this, arguments);
};
ThumbnailWidget.prototype = Object.create(EasyDAGWidget.prototype);
ThumbnailWidget.prototype.addNode = function() {
var result = EasyDAGWidget.prototype.addNode.apply(this, arguments);
this.refreshThumbnail();
return result;
};
ThumbnailWidget.prototype.removeNode = function() {
var result = EasyDAGWidget.prototype.removeNode.apply(this, arguments);
this.refreshThumbnail();
return result;
};
ThumbnailWidget.prototype._removeConnection = function() {
var result = EasyDAGWidget.prototype._removeConnection.apply(this, arguments);
this.refreshThumbnail();
return result;
};
ThumbnailWidget.prototype.addConnection = function() {
var result = EasyDAGWidget.prototype.addConnection.apply(this, arguments);
this.refreshThumbnail();
return result;
};
////////////////////////// Thumbnail updates //////////////////////////
ThumbnailWidget.prototype.getSvgDistanceDim = function(dim) {
var maxValue = this._getMaxAlongAxis(dim),
nodes,
minValue;
nodes = this.graph.nodes().map(id => this.graph.node(id));
minValue = nodes.length ? Math.min.apply(null, nodes.map(node => node[dim] || 0)) : 0;
return maxValue-minValue;
};
ThumbnailWidget.prototype.getSvgWidth = function() {
return this.getSvgDistanceDim('x');
};
ThumbnailWidget.prototype.getSvgHeight = function() {
return this.height - 25;
};
ThumbnailWidget.prototype.getViewBox = function() {
var maxX = this.getSvgWidth('x'),
maxY = this.getSvgHeight('y');
return `0 0 ${maxX} ${maxY}`;
};
ThumbnailWidget.prototype.refreshThumbnail = _.debounce(function() {
// Get the svg...
var svg = document.createElement('svg'),
group = this.$svg.node(),
child;
svg.setAttribute('viewBox', this.getViewBox());
for (var i = 0; i < group.children.length; i++) {
child = $(group.children[i]);
svg.appendChild(child.clone()[0]);
}
this.updateThumbnail(svg.outerHTML);
}, 1000);
return ThumbnailWidget;
});
@@ -40,40 +40,10 @@ define([
ArtifactOpDecorator.prototype.DECORATOR_ID = DECORATOR_ID;
ArtifactOpDecorator.prototype.getTargetFilterFnFor = function() {
var currentNode,
pId,
peerIds,
currentDataId,
targetTypeIds = [];
// Get all connections from this node's data
if (this._node.outputs[0]) {
currentNode = this.client.getNode(this._node.id);
pId = currentNode.getParentId();
peerIds = this.client.getNode(pId).getChildrenIds();
currentDataId = this._node.outputs[0].id;
targetTypeIds = peerIds.map(id => this.client.getNode(id))
.filter(node => {
var ptr = node.getPointer('src');
return ptr.to === currentDataId;
})
// Get the target data types
.map(node => this.client.getNode(node.getPointer('dst').to).getMetaTypeId());
}
return id => {
var node = this.client.getNode(id),
isMetaTgt = node.getId() === node.getMetaTypeId(),
isValidType = true;
// make sure it is a type of the target types
isValidType = targetTypeIds.reduce((passing, typeId) => {
return passing && node.isTypeOf(typeId);
}, true);
return isValidType && isMetaTgt === this.castOpts.metaTgt;
isMetaTgt = node.getId() === node.getMetaTypeId();
return isMetaTgt === this.castOpts.metaTgt;
};
};
@@ -87,13 +57,13 @@ define([
this.client.startTransaction(`Removing output of ${this.name}`);
this.client.delPointer(this._node.id, name);
if (outputId) {
this.client.delAttribute(outputId, 'data');
this.client.delAttributes(outputId, 'data');
}
this.client.completeTransaction();
} else if (name === this.castOpts.ptr) { // set the casted value
this.client.startTransaction(`Setting output of ${this.name} to ${to}`);
this.castOutputType(to);
this.client.setPointer(this._node.id, name, to);
this.client.makePointer(this._node.id, name, to);
this.client.completeTransaction();
} else {
DecoratorBase.prototype.savePointer.call(this, name, to);
@@ -1,39 +0,0 @@
/*globals define, _*/
/*jshint browser: true, camelcase: false*/
define([
'js/Decorators/DecoratorBase',
'./EasyDAG/ContainerLayerDecorator.EasyDAGWidget'
], function (
DecoratorBase,
ContainerLayerDecoratorEasyDAGWidget
) {
'use strict';
var ContainerLayerDecorator,
__parent__ = DecoratorBase,
__parent_proto__ = DecoratorBase.prototype,
DECORATOR_ID = 'ContainerLayerDecorator';
ContainerLayerDecorator = function (params) {
var opts = _.extend({loggerName: this.DECORATORID}, params);
__parent__.apply(this, [opts]);
this.logger.debug('ContainerLayerDecorator ctor');
};
_.extend(ContainerLayerDecorator.prototype, __parent_proto__);
ContainerLayerDecorator.prototype.DECORATORID = DECORATOR_ID;
/*********************** OVERRIDE DecoratorBase MEMBERS **************************/
ContainerLayerDecorator.prototype.initializeSupportedWidgetMap = function () {
this.supportedWidgetMap = {
EasyDAG: ContainerLayerDecoratorEasyDAGWidget
};
};
return ContainerLayerDecorator;
});
@@ -1,25 +0,0 @@
.condense .nested-layers {
display: none;
}
.nested-layers .hover-box {
stroke: black;
stroke-dasharray: 4, 4;
stroke-opacity: 0;
}
.nested-layers .unhovered .button {
opacity: 0;
}
.nested-layers .hovered .button {
opacity: 1;
}
.nested-layers .unhovered .hover-box {
stroke-opacity: 0;
}
.nested-layers .hovered .hover-box {
stroke-opacity: 0;
}
@@ -1,428 +0,0 @@
/*globals define, _, */
/*jshint browser: true, camelcase: false*/
define([
'decorators/LayerDecorator/EasyDAG/LayerDecorator.EasyDAGWidget',
'js/Constants',
'deepforge/Constants',
'./NestedLayer',
'widgets/EasyDAG/Buttons',
'css!./ContainerLayerDecorator.EasyDAGWidget.css'
], function (
LayerDecorator,
GME_CONSTANTS,
CONSTANTS,
NestedLayer,
Buttons
) {
'use strict';
var ContainerLayerDecorator,
ZOOM = 0.8,
DECORATOR_ID = 'ContainerLayerDecorator';
// Container layer nodes need to be able to nest the containedLayers
// in order inside of themselves when expanded
ContainerLayerDecorator = function (options) {
this.nestedLayers = {};
LayerDecorator.call(this, options);
this.$nested = this.$el.append('g')
.attr('class', 'nested-layers');
// If clicked, deselect the given nested layer
this.$el.on('click', () => {
if (this.expanded) {
Object.keys(this.nestedLayers).forEach(id => {
this.nestedLayers[id].widget.onBackgroundClick();
});
}
});
this.onNestedRefresh = _.debounce(this.updateExpand.bind(this), 50);
// Add event handlers
NestedLayer.prototype.addLayerBefore = function(layerId) {
var decorator = this._parent,
index = decorator._node.containedLayers.indexOf(this.id);
return decorator.addLayerAt(layerId, index - 1);
};
NestedLayer.prototype.addLayerAfter = function(layerId) {
var decorator = this._parent,
index = decorator._node.containedLayers.indexOf(this.id);
return decorator.addLayerAt(layerId, index + 1);
};
NestedLayer.prototype.isLast = function() {
var index = this._parent._node.containedLayers.length - 1;
return this._parent._node.containedLayers[index] === this.id;
};
NestedLayer.prototype.isFirst = function() {
return this._parent._node.containedLayers[0] === this.id;
};
NestedLayer.prototype.moveLayerForward = function() {
return this.moveLayer(true);
};
NestedLayer.prototype.moveLayerBackward = function() {
return this.moveLayer();
};
NestedLayer.prototype.moveLayer = function(forward) {
var decorator = this._parent,
index = decorator._node.containedLayers.indexOf(this.id),
client = decorator.client,
msg;
decorator._node.containedLayers.splice(index, 1);
if (forward) {
index = Math.max(0, index - 1);
} else {
index++;
}
decorator._node.containedLayers.splice(index, 0, this.id);
msg = `Swapping nested layers at ${index} and ${forward ? index-1 : index+1}`;
client.startTransaction(msg);
decorator._updateNestedIndices();
client.completeTransaction();
};
NestedLayer.prototype.onLastNodeRemoved = function() {
var decorator = this._parent,
index = decorator._node.containedLayers.indexOf(this.id),
msg = `Removing nested layer of ${decorator._node.name} at position ${index}`;
decorator.client.startTransaction(msg);
decorator.client.deleteNode(this.id);
decorator.client.completeTransaction();
};
this.updateNestedTerritory();
};
_.extend(ContainerLayerDecorator.prototype, LayerDecorator.prototype);
ContainerLayerDecorator.prototype.DECORATOR_ID = DECORATOR_ID;
ContainerLayerDecorator.prototype._updateNestedIndices = function() {
this._node.containedLayers.forEach((layerId, index) => {
// Set the layer's member registry to it's index
this.client.setMemberRegistry(
this._node.id,
layerId,
CONSTANTS.CONTAINED_LAYER_SET,
CONSTANTS.CONTAINED_LAYER_INDEX,
index
);
});
};
ContainerLayerDecorator.prototype.addLayerAt = function(baseId, index) {
var client = this.client,
parentId = this._node.id,
archNode,
newId,
msg;
// Get the index of the given layer
index = Math.max(index, 0);
archNode = client.getAllMetaNodes()
.find(node => node.getAttribute('name') === 'Architecture');
// Create a new Architecture node in the given node
msg = `Adding layer to ${this._node.name} at position ${index}`;
client.startTransaction(msg);
newId = client.createNode({
parentId: parentId,
baseId: archNode.getId()
});
// Create the selected layer
client.createNode({
parentId: newId,
baseId: baseId
});
client.addMember(parentId, newId, CONSTANTS.CONTAINED_LAYER_SET);
this._node.containedLayers.splice(index, 0, newId);
this._updateNestedIndices();
client.completeTransaction();
};
ContainerLayerDecorator.prototype.condense = function() {
// hide the nested layers
this.$el.attr('class', 'centering-offset condense');
this.removeCreateNestedBtn();
return LayerDecorator.prototype.condense.apply(this, arguments);
};
ContainerLayerDecorator.prototype.updateNestedTerritory = function() {
// Add the nested layers and update
if (!this._nestedTerritoryUI) {
this._nestedTerritoryUI = this.client.addUI(this, this._containedEvents.bind(this));
}
this._territory = {};
this._node.containedLayers.forEach(id => this._territory[id] = {children: 0});
this.client.updateTerritory(this._nestedTerritoryUI, this._territory);
};
ContainerLayerDecorator.prototype._containedEvents = function(events) {
for (var i = events.length; i--;) {
switch (events[i].etype) {
case GME_CONSTANTS.TERRITORY_EVENT_LOAD:
if (!this.nestedLayers[events[i].eid]) {
this.createNestedWidget(events[i].eid);
}
break;
case GME_CONSTANTS.TERRITORY_EVENT_UNLOAD:
this.removeNestedWidget(events[i].eid);
break;
}
}
if (events.length > 1) { // if more than just 'complete' event
this.updateExpand();
}
};
ContainerLayerDecorator.prototype.update = function(node) {
var attrsUpdated = false,
attrs = this._attributes;
this._node = node;
// Update the attributes
this.setAttributes();
attrsUpdated = !_.isEqual(attrs, this._attributes);
// Check for a new nested layer
var hasNewLayers = this._node.containedLayers
.filter(id => !this.nestedLayers[id])
.length > 0;
if (hasNewLayers) {
this.updateNestedTerritory();
} else {
// Update the order of the nested layers
if (this._selected) {
this.expand();
} else {
this.condense();
}
}
// Only reset fieldsWidth if the attribute has gotten larger
if (attrsUpdated) {
this.fieldsWidth = null;
}
};
ContainerLayerDecorator.prototype.updateExpand = function() {
if (this.expanded) {
this.expand();
}
};
ContainerLayerDecorator.prototype.createNestedWidget = function(id) {
if (!this.$nested) {
this.$nested = this.$el.append('g')
.attr('class', 'nested-layers');
}
this.nestedLayers[id] = new NestedLayer({
$container: this.$nested,
parent: this,
client: this.client,
logger: this.logger,
onRefresh: this.onNestedRefresh,
id: id
});
return this.nestedLayers[id];
};
ContainerLayerDecorator.prototype.removeNestedWidget = function(id) {
this.nestedLayers[id].destroy();
delete this.nestedLayers[id];
this.updateExpand();
};
ContainerLayerDecorator.prototype._renderInfo = function(top, width) {
var isAnUpdate = this.expanded,
y = top;
// Add the attribute fields
this.clearFields();
this.$attributes = this.$el.append('g')
.attr('fill', '#222222');
if (!isAnUpdate) {
this.$attributes.attr('opacity', 0);
}
y = this.createAttributeFields(y, width);
y = this.createPointerFields(y, width);
if (y !== top) {
y += this.ROW_HEIGHT/2;
}
return y;
};
ContainerLayerDecorator.prototype.expand = function() {
// This should be rendered with the attributes
var height,
width,
// Attributes
initialY = 25,
isAnUpdate = this.expanded,
NAME_MARGIN = 15,
nestedMargin = 15, // minimum
margin = 5,
y = margin + initialY,
x = margin,
i;
// Shift name down
this.$name.attr('y', 20);
// Add the nested children
var ids = this._node.containedLayers.filter(id => this.nestedLayers[id]),
totalNestedWidth = 0,
maxNestedHeight = 0,
fieldWidth,
widget;
if (ids.length === 0) {
maxNestedHeight = CreateNestedBtn.SIZE * 2;
} else {
for (i = 0; i < ids.length; i++) {
widget = this.nestedLayers[ids[i]].widget;
totalNestedWidth += widget.getSvgWidth() * ZOOM;
maxNestedHeight = Math.max(widget.getSvgHeight() * ZOOM, maxNestedHeight);
// Update the buttons (in case of reorder)
this.nestedLayers[ids[i]].refreshButtons();
}
}
fieldWidth = this.fieldsWidth + 3 * NAME_MARGIN;
width = Math.max(
this.nameWidth + 2 * NAME_MARGIN,
this.size.width,
fieldWidth,
totalNestedWidth + (ids.length + 1) * nestedMargin
);
// Render attributes
y = this._renderInfo(y, fieldWidth);
y += nestedMargin;
// Update width, height
height = y + maxNestedHeight + nestedMargin;
// Equally space the nested widgets
nestedMargin = (width - totalNestedWidth)/(ids.length + 1);
x = nestedMargin - width/2;
for (i = 0; i < ids.length; i++) {
this.nestedLayers[ids[i]].$el
.attr('transform', `translate(${x}, ${y}) scale(${ZOOM})`);
x += this.nestedLayers[ids[i]].widget.getSvgWidth() * ZOOM + nestedMargin;
}
this.removeCreateNestedBtn();
if (ids.length === 0) {
// Add the 'create nested layer' button if no nested layers
this.$createNestedBtn = new CreateNestedBtn({
context: this,
$pEl: this.$el,
y: y + CreateNestedBtn.SIZE
});
}
this.$body
.transition()
.attr('x', -width/2)
.attr('y', 0)
.attr('rx', 0)
.attr('ry', 0)
.attr('width', width)
.attr('height', height)
.each('end', () => {
if (!isAnUpdate) {
this.$attributes.attr('opacity', 1);
this.$el.attr('class', 'centering-offset expand');
}
});
if (this.height !== height || this.width !== width) {
this.height = height;
this.width = width;
this.expanded = true;
this.$el
.attr('transform', `translate(${this.width/2}, 0)`);
this.onResize();
}
};
ContainerLayerDecorator.prototype.removeCreateNestedBtn = function() {
if (this.$createNestedBtn) {
this.$createNestedBtn.remove();
this.$createNestedBtn = null;
}
};
ContainerLayerDecorator.prototype.destroyNested = function() {
Object.keys(this.nestedLayers).forEach(id => this.nestedLayers[id].destroy());
this.nestedLayers = {};
if (this.$nested) {
this.$nested.remove();
this.$nested = this.$el.append('g')
.attr('class', 'nested-layers');
}
};
ContainerLayerDecorator.prototype.destroy = function() {
LayerDecorator.prototype.destroy.call(this);
if (this._nestedTerritoryUI) {
this.client.removeUI(this._nestedTerritoryUI);
this._nestedTerritoryUI = null;
}
this.destroyNested();
};
var CreateNestedBtn = function(params) {
params.title = 'Add nested layer';
Buttons.Add.call(this, params);
};
CreateNestedBtn.SIZE = Buttons.Add.SIZE;
CreateNestedBtn.prototype = Object.create(Buttons.Add.prototype);
CreateNestedBtn.prototype._onClick = function() {
// Call addLayerAfter and prompt for a layer
this.promptLayer()
.then(layerId => this.addLayerAt(layerId, 0));
};
ContainerLayerDecorator.prototype.expandAll = function() {
this.expand();
// For each of the nested layers, expand all their nodes
Object.keys(this.nestedLayers)
.forEach(id => this.nestedLayers[id].widget.expandAllNodes());
};
ContainerLayerDecorator.prototype.condenseAll = function() {
this.condense();
// For each of the nested layers, expand all their nodes
Object.keys(this.nestedLayers)
.forEach(id => this.nestedLayers[id].widget.expandAllNodes(true));
};
return ContainerLayerDecorator;
});
@@ -1,175 +0,0 @@
/*globals define, _ */
define([
'panels/ArchEditor/ArchEditorControl',
'widgets/ArchEditor/ArchEditorWidget',
'widgets/EasyDAG/Buttons'
], function(
ArchEditor,
ArchEditorWidget,
Buttons
) {
var nop = () => {};
var NestedLayer = function(opts) {
this.$el = opts.$container.append('g')
.attr('class', 'nested-layer');
this.id = opts.id;
this._parent = opts.parent;
this.logger = opts.logger;
this.refreshButtons = _.debounce(this.updateButtons.bind(this), 100);
this.$outline = this.$el.append('rect') // for hover detection
.attr('fill-opacity', 0)
.attr('x', 0)
.attr('y', 0);
this.$content = this.$el.append('g');
this.initHover();
this.widget = new ArchEditorWidget({
logger: this.logger.fork('ArchWidget'),
autoCenter: false,
svg: this.$content
});
this.widget.setTitle =
this.widget.updateEmptyMsg = nop;
this.onRefresh = opts.onRefresh;
this.widget.refreshExtras = this.onWidgetRefresh.bind(this);
this.control = new ArchEditor({
logger: this.logger.fork('ArchControl'),
client: opts.client,
embedded: true,
widget: this.widget
});
this.control._onUnload = id => {
ArchEditor.prototype._onUnload.call(this.control, id);
// If it was the last node, remove it
var node = this.control._client.getNode(this.id);
if (node.getChildrenIds().length === 0) {
this.onLastNodeRemoved();
}
};
// hack :(
this.control.$btnModelHierarchyUp = {
show: nop,
hide: nop
};
this.widget.active = true;
this.control.selectedObjectChanged(this.id);
};
NestedLayer.prototype.initHover = function() {
this.$hover = this.$el.append('g')
.attr('class', 'hover-items');
this.$el.on('mouseenter', this.onHover.bind(this));
this.$el.on('mouseleave', this.onUnhover.bind(this));
// Buttons
this.$leftBtn = new Buttons.Add({
hide: true,
icon: this.isFirst() ? 'plus' : 'chevron-left',
$pEl: this.$hover
});
this.$rightBtn = new Buttons.Add({
hide: true,
icon: this.isLast() ? 'plus' : 'chevron-right',
$pEl: this.$hover
});
this.$deleteBtn = new Buttons.DeleteOne({
hide: true,
title: 'Delete',
$pEl: this.$hover
});
this.$leftBtn._onClick = this.clickLeft.bind(this);
this.$rightBtn._onClick = this.clickRight.bind(this);
this.$deleteBtn._onClick = () => this.onLastNodeRemoved();
this.$leftHint = this.$leftBtn.$el.append('title');
this.$rightHint = this.$rightBtn.$el.append('title');
this.refreshButtons();
};
NestedLayer.prototype.updateButtons = function() {
this.$leftBtn.icon = this.isFirst() ? 'plus' : 'chevron-left';
this.$rightBtn.icon = this.isLast() ? 'plus' : 'chevron-right';
this.$leftHint.text(this.isFirst() ?
'Add nested layer' :
'Move nested layer left'
);
this.$rightHint.text(this.isLast() ?
'Add nested layer' :
'Move nested layer right'
);
this.$leftBtn.render();
this.$rightBtn.render();
};
NestedLayer.prototype.clickLeft = function() {
if (this.isFirst()) {
this.promptLayer()
.then(layerId => this.addLayerBefore(layerId));
} else {
this.moveLayerForward();
}
this.onUnhover();
};
NestedLayer.prototype.promptLayer = function() {
var nodes = this.widget.getValidInitialNodes();
return this.widget.promptLayer(nodes)
.then(selected => selected.node.id);
};
NestedLayer.prototype.clickRight = function() {
if (this.isLast()) {
this.promptLayer()
.then(layerId => this.addLayerAfter(layerId));
} else {
this.moveLayerBackward();
}
this.onUnhover();
};
NestedLayer.prototype.onHover = function() {
this.refreshButtons();
this.$hover.attr('class', 'hover-items hovered');
};
NestedLayer.prototype.onUnhover = function() {
this.$hover.attr('class', 'hover-items unhovered');
};
NestedLayer.prototype.onWidgetRefresh = function() {
var width = this.widget.getSvgWidth(),
height = this.widget.getSvgHeight();
this.$outline
.attr('width', width)
.attr('height', height);
this.$leftBtn.$el.attr('transform', `translate(0, ${height/2})`);
this.$rightBtn.$el
.attr('transform', `translate(${width}, ${height/2})`);
this.onRefresh();
};
NestedLayer.prototype.destroy = function() {
this.control.destroy();
this.widget.destroy();
this.$el.remove();
};
return NestedLayer;
});
@@ -47,11 +47,11 @@ define([
// create the outputId node
outputId = this._createOutputNode(baseId);
} else {
this.client.setPointer(outputId, CONSTANTS.POINTER_BASE, baseId);
this.client.makePointer(outputId, CONSTANTS.POINTER_BASE, baseId);
}
// Copy the data content to the output node
hash = target.getAttribute('data');
this.client.setAttribute(outputId, 'data', hash);
this.client.setAttributes(outputId, 'data', hash);
};
DcOpDecorator.prototype._createOutputNode = function(baseId) {
@@ -69,7 +69,7 @@ define([
return metaType.getAttribute('name') === 'Outputs';
});
return this.client.createNode({
return this.client.createChild({
baseId: baseId,
parentId: outputCntrId
});

Alguns arquivos não foram exibidos porque demasiados arquivos foram alterados neste diff Mostrar Mais