Metadata-Version: 2.1
Name: sintel
Version: 0.1.0.dev0
Summary: Sintel(Signal Intelligence) provides Restful APIs to processmassive signal data for anomaly analysis in an efficientand user-friendly way
Home-page: https://github.com/signals-dev/sintel
Author: MIT Data To AI Lab
Author-email: dailabmit@gmail.com
License: MIT license
Description: <p align="left">
        <img width=15% src="https://dai.lids.mit.edu/wp-content/uploads/2018/06/Logo_DAI_highres.png" alt=“DAI-Lab” />
        <i>An open source project from Data to AI Lab at MIT.</i>
        </p>
        
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        # Sintel
        
        **Sintel** (Signal Intelligence) provides Restful APIs to process massive signal data for anomaly analysis in an efficient and user-friendly way.
        
        * License: [MIT](https://github.com/signals-dev/sintel/blob/master/LICENSE)
        * Development Status: [Pre-Alpha](https://pypi.org/search/?c=Development+Status+%3A%3A+2+-+Pre-Alpha)
        * Homepage: https://github.com/signals-dev/sintel
        * Documentation:
            * http://mtv.lids.mit.edu/apidocs (Swagger UI style)
            * http://mtv.lids.mit.edu/redoc (Redoc UI style)
        
        
        ## Prerequisites
        
        Make sure you have installed all of the following prerequisites on your development machine:
        
        -   **Python (>= 3.0)** - Sintel has been developed and runs on [Python 3.6](https://www.python.org/downloads/release/python-360/). Although it is not strictly required, the usage of a [virtualenv](https://virtualenv.pypa.io/en/latest/) is highly recommended in order to avoid interfering with other software installed in the system where **MTV** is run. To this end, [Anaconda python](https://www.anaconda.com/distribution/#download-section) is suggested to maintain the virtual environments.
        -   **Git** - [Download & Install Git](https://git-scm.com/downloads). OSX and Linux machines typically have this already installed.
        -   **MongoDB (>= 3.6)** - [Download & Install MongoDB](http://www.mongodb.org/downloads), and make sure it's running on the default port (27017).
        
        ## Get Started
        
        
        ### Quick Install
        
        Once you've downloaded the Sintel repository and installed all the prerequisites, you're just a few steps away from running your application. To install the project, create a virtualenv and execute
        
        ```bash
        $ make install
        ```
        
        This command will install all the dependencies needed for the application to run. For development, use the following command instead, which will install some additional
        dependencies for code linting and testing
        
        ```bash
        $ make install-develop
        ```
        
        ### Running Your Application
        
        Please activate your virtualenv, and then launch the API server:
        
        ```bash
        $ sintel run -v
        ```
        
        Go to the API playground ([http://localhost:3000/apidocs](http://localhost:3000/apidocs)) to have a try.
        
        ### Development
        
        Run the following command for the purpose of development
        
        ```bash
        $ sintel run -E development -v
        ```
        
        ### Data
        
        The command `make install` or `make install-develop` has already pull the demo dataset and restore it into MongoDB. The database name by default is `sintel`.
        
        ##### Working with [Orion](https://github.com/D3-AI/Orion) to generate your own data
        
        You can type the following command to update the data from Orion to Sintel-supported formats. Note that you can configure the mongodb in the file `./sintel/config.yaml`.
        
        ```bash
        $ mtv update db -v
        ```
        
        
        ## Use Docker to deploy
        
        -   Install [Docker](https://docs.docker.com/install/) and [Compose](https://docs.docker.com/compose/install/)
        
        -   Load data into the mongo container
        
            ```bash
            $ make docker-db-up
            ```
        
            ```bash
            $ make docker-up
            ```
        
        Go to the API playground ([http://localhost:3000/apidocs](http://localhost:3000/apidocs)) to have a try. For further commands, please refer to `Makefile`, the session of Docker Installation.
        
        
        # History
        
        ## 0.1.0
        
        * First release on PyPI.
        
Keywords: sintel
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: dev
