https://github.com/craylabs/smartdashboard
SmartSim Dashboard Package.
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (11.6%) to scientific vocabulary
Repository
SmartSim Dashboard Package.
Basic Info
- Host: GitHub
- Owner: CrayLabs
- License: bsd-2-clause
- Language: Python
- Default Branch: develop
- Size: 301 KB
Statistics
- Stars: 6
- Watchers: 4
- Forks: 2
- Open Issues: 2
- Releases: 3
Metadata Files
README.md
[!CAUTION] The SmartDashboard project has been discontinued and this repository is no longer maintained by the SmartSim team.
SmartDashboard
SmartDashboard is an add-on to SmartSim that provides a dashboard to help users understand and monitor their SmartSim experiments in a visual way. Configuration, status, and logs are available for all launched entities within an experiment for easy inspection, along with memory and client data per shard for launched orchestrators.
A Telemetry Monitor is a background process that is launched alongside the experiment.
It is responsible for generating the data displayed by SmartDashboard. The Telemetry Monitor can be disabled globally by
adding export SMARTSIM_FLAG_TELEMETRY=0 as an environment variable. When disabled, SmartDashboard
will not display entity status data. To re-enable, set the SMARTSIM_FLAG_TELEMETRY environment variable to 1
with export SMARTSIM_FLAG_TELEMETRY=1. For workflows involving multiple experiments, SmartSim provides the attributes
Experiment.telemetry.enable and Experiment.telemetry.disable to manage the enabling or disabling of telemetry on a per-experiment basis.
Orchestrator memory and client data can be collected by enabling database telemetry. To do so, add Orchestrator.telemetry.enable
after creating an Orchestrator within the driver script. Database telemetry is enabled per Orchestrator, so if there are multiple
Orchestrators launched, they will each need to be enabled separately in the driver script.
```python
enabling telemetry example
from smartsim import Experiment
exp = Experiment("experiment", launcher="auto") exp.telemetry.enable()
db = exp.createdatabase(dbnodes=3) db.telemetry.enable()
exp.start(db, block=True) exp.stop(db) ```
Experiment metadata is stored in the .smartsim directory, a hidden folder used by the internal api and accessed by the dashboard.
This folder can be found within the created experiment directory.
Deletion of the experiment folder will remove all associated metadata.
Installation
It's important to note that SmartDashboard only works while using SmartSim, so SmartSim will need to be installed as well. SmartSim installation docs can be found here.
User Install
Run pip install smartdashboard to install SmartDashboard without cloning the repository.
Developer Install
Clone the SmartDashboard repository at https://github.com/CrayLabs/SmartDashboard.git
Once cloned, cd into the repository and run:
pip install -e .
Running SmartDashboard
After launching a SmartSim experiment, the dashboard can be launched using SmartSim's CLI.
smart dashboard --port <port number> --directory <experiment directory path>
The port can optionally be specified, otherwise the dashboard port will default to 8501.
The directory must be specified and should be a relative or absolute path to the created experiment directory.
Example workflow:
```bash
directory before running experiment
├── hello_world.py ```
```python
hello_world.py
from smartsim import Experiment
exp = Experiment("helloworldexp", launcher="auto") exp.telemetry.enable() run = exp.createrunsettings(exe="echo", exeargs="Hello World!") run.settasks(60) run.settasksper_node(20)
model = exp.createmodel("helloworld", run) exp.start(model, block=True, summary=True) ```
```bash
in interactive terminal
python hello_world.py ```
```bash
directory after running experiment
├── helloworld.py └── helloworld_exp ```
By default, hello_world_exp is created in the directory of the driver script.
```bash
in a different interactive terminal
smart dashboard --port 8888 --directory helloworldexp ```
The dashboard will automatically open in a browser at port 8888 when smart dashboard ...
is invoked locally.
If the dashboard is executed remotely, establishing port-forwarding to the remote machine will be necessary. This may be accomplished with ssh as follows:
```bash
using ssh to establish port forwarding
ssh -L [local-addr]:
: : @ example forwarding the remote port 8888 to localhost:8000
ssh -L localhost:8000:super1.my.domain.net:8888 smartdash@super1.my.domain.net ```
After establishing the port-forwarding, a local browser can be pointed at the appropriate URL, such as
http://localhost:8000for the example above.
The dashboard is also persistent, meaning that a user can still launch and use the dashboard even after the experiment has completed.
Using SmartDashboard
Once the dashboard is launched, a browser will open to http://localhost:<port>. SmartDashboard currently has two tabs on the left hand side.
Experiment Overview: This tab is where configuration information, statuses, and logs are located for each launched entity of the experiment. The Experiment section displays configuration information for the overall experiment and its logs. In the Applications section, also known as SmartSim Models, select a launched application to see its status, what it was configured with, and its logs. The Orchestrators section also provides configuration and status information, as well as logs per shard for a selected orchestrator. Finally, in the Ensembles section, select an ensemble to see its status and configuration. Then select any of its members to see its status, configuration, and logs.
Database Telemetry: This tab provides additional details about Orchestrators.
The Orchestrator Summary section shows configuration and status information of the selected. The Memory
section provides memory usage data per shard within the Orchestrator. The Clients
section displays client data per shard within the Orchestrator.
Help: This tab links to SmartSim documentation and provides a SmartSim contact for support.
Owner
- Name: Cray Labs
- Login: CrayLabs
- Kind: organization
- Website: https://www.craylabs.org/docs/overview.html
- Repositories: 14
- Profile: https://github.com/CrayLabs
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Alyssa Cote | 4****e | 16 |
| Amanda Richardson | a****n@h****m | 15 |
| Alyssa Cote | a****2@g****m | 1 |
| amandarichardsonn | 3****n | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 11
- Total pull requests: 47
- Average time to close issues: 25 days
- Average time to close pull requests: 6 days
- Total issue authors: 3
- Total pull request authors: 7
- Average comments per issue: 0.09
- Average comments per pull request: 0.06
- Merged pull requests: 44
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- billschereriii (4)
- MattToast (4)
- AlyssaCote (3)
Pull Request Authors
- AlyssaCote (46)
- amandarichardsonn (8)
- ankona (6)
- github-actions[bot] (2)
- al-rigazzi (2)
- billschereriii (1)
- ashao (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 25 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: smartdashboard
Visualize SmartSim Experiments
- Homepage: https://www.craylabs.org
- Documentation: https://github.com/CrayLabs/SmartDashboard
- License: BSD 2-Clause License
-
Latest release: 0.0.4
published about 2 years ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/download-artifact v2 composite
- actions/setup-python v2 composite
- actions/upload-artifact v2 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/upload-artifact v3 composite
- pandas >=2.0.0
- streamlit >=1.27.1
- watchdog >=3.0.0