Metadata-Version: 2.1
Name: lccserver
Version: 0.0.1.post0.dev16
Summary: A light curve collection server framework.
Home-page: https://github.com/waqasbhatti/lcc-server
Author: Waqas Bhatti
Author-email: waqas.afzal.bhatti@gmail.com
License: MIT
Description: # LCC-Server: A light curve collection server framework
        
        This is a Python framework to serve collections of light curves. The code here
        forms the basis for the [HAT data server](https://data.hatsurveys.org).
        
        At the moment, it includes the following functionality:
        
        - collection of light curves from various projects into a single output format
        
        - HTTP API for searching over multiple light curve collections by:
          - filtering on database columns of object properties, e.g. objectid,
            mag, variability type, variability indices, etc.
          - cone-search near specified coordinates
          - cross-matching to uploaded object list with objectid, ra, decl
          - full-text search on object names, descriptions, etc.
        
        - HTTP API for generating datasets from search results asychronously, caching
          results from searches, and generating output zip bundles containing search
          results and all matching light curves
        
        - HTTP API for detailed information per object, including light curve plots,
          external catalog info, and period-finding results plus phased LCs if available
        
        ## Installation
        
        **NOTE:** Python >= 3.6 is required. Use of a virtualenv is recommended;
        something like this will work well:
        
        ```bash
        $ python3 -m venv lcc
        $ source lcc/bin/activate
        ```
        
        This package is available on PyPI. Install it with the virtualenv activated:
        
        ```bash
        $ pip install numpy  # to set up Fortran bindings for dependencies
        $ pip install lccserver  # add --pre to install unstable versions
        ```
        
        To install the latest version from Github:
        
        ```bash
        $ git clone https://github.com/waqasbhatti/lcc-server
        $ cd lcc-server
        $ pip install -e .
        ```
        
        If you're on Linux or MacOS, you can install the
        [uvloop](https://github.com/MagicStack/uvloop) package to optionally speed up
        some of the eventloop bits:
        
        ```bash
        $ pip install uvloop
        ```
        
        Some post-installation setup is required to begin serving light curves. In
        particular, you will need to set up a base directory where LCC-Server can work
        from and various sub-directories. Notes on this TBD...
        
        ## License
        
        LCC-Server is provided under the MIT License. See the LICENSE file for the full
        text.
        
Keywords: astronomy
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Description-Content-Type: text/markdown
