Install and Run
Before installing Vizier DB Web UI, you should install VizierDB - Web API. The Web API is the backend that provides the API that is used by the Vizier DB Web UI.
Install VizierDB - Web API
Installation is still a bit labor intensive. The following steps seem to work for now (requires [Anaconda](https://conda.io/docs/user-guide/install/index.html)). If you want to use Mimir modules within your curation workflows a local installation of Mimir v0.2 is required. Refer to this [guide for Mimir installation details](https://github.com/VizierDB/Vistrails/tree/MimirPackage/vistrails/packages/mimir).
To setup the Python environment clone the repository and run the following commands:
>>> git clone https://github.com/VizierDB/web-api.git >>> cd web-api >>> conda env create -f environment.yml >>> source activate vizier >>> pip install git+https://github.com/VizierDB/Vistrails.git >>> pip install -e .
As an alternative the following sequence of steps might also work (e.g., for MacOS):
>>> git clone https://github.com/VizierDB/web-api.git >>> cd web-api >>> conda create --name vizier pip >>> source activate vizier >>> pip install -r requirements.txt >>> pip install -e . >>> conda install pyqt=4.11.4=py27_4
The web server is configured using a configuration file. There are two example configuration files in the (config directory)[https://github.com/VizierDB/web-api/tree/master/config] (depending on whether including Mimir
`config-mimir.yaml` or not
The configuration paramaters are:
api - server_url: Url of the server (e.g., http://localhost) - server_port: Server port (e.g., 5000) - app_path: Application path for Web API (e.g., /vizier-db/api/v1) - app_base_url: Concatenation of server_url, server_port and app_path - doc_url: Url to API documentation
fileserver - directory: Path to base directory for file server - max_file_size: Maximum size for file uploads
engines - identifier: Engine type (i.e., DEFAULT or MIMIR) - name: Engine printable name - description: Descriptive text for engine - datastore:
- directory: Base directory for data store
- directory: Base directory for storing viztrail information and meta data
name: Web Service name
debug: Flag indicating whether server is started in debug mode
logs: Path to log directory
When the Web server starts it first looks for the configuration file that is reference in the environment variable
`VIZIERSERVER_CONFIG`. If the variable is not set the server looks for a file
`config.yaml` in the current working directory.
Note that there is a
`config.yaml` file in the working directory of the server that can be used for development mode.
After adjusting the server configuration the server is run using the following command:
>>> cd vizier >>> python server.py
Make sure that the conda environment has been activated using
`source activate vizier`.
If using Mimir the gateway server sould be started before running the web server.
For development it can be helpful to have a local copy of the API documentation. The [repository README](https://github.com/VizierDB/webapi-swagger-ui) contains information on how to install the UI locally.
Install VizierDB - Web UI
Start by cloning the repository and switching to the app directory.
>>> git clone https://github.com/VizierDB/web-ui.git >>> cd web-ui
Inside the app directory, you can run several commands:
Install build dependencies
>>> yarn install
Start the development server
>>> yarn start
Bundles the app into static files for production
>>> yarn build
Starts the test runner.
>>> yarn test
Remove this tool and copies build dependencies, configuration files and scripts into the app directory. If you do this, you can’t go back!
>>> yarn eject
The UI app connects to the Web API server. The Url for the server is currently hard-coded in the file
`public/env.js`. Before running
`yarn start` adjust the Url to point to a running Web API server. By default a local server running on port 5000 is used.