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    "info": {
        "author": "Micah Johnson",
        "author_email": "micah.johnson150@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
        ],
        "description": "# GUDS - Geoserver Upload Download Script v0.6.0\n[![PyPI version](https://badge.fury.io/py/guds.svg)](https://badge.fury.io/py/guds)\n\nThe GUDS repo contains a script for moving around the modeling data between its\nsource and the geoserver.\n\n## Installation\n\n### Prerequisites\n\n* Python 3.5 +\n* A geoserver to push to\n\n### Install GUDS commandline\nTo install GUDS, simply :\n\n`pip install guds`\n\nTo do install it from source:\n\n`git clone https://github.com/USDA-ARS-NWRC/guds`\n\n`cd guds`\n\n`pip install -r reqquirements.txt`\n\n## Usage\n\nGeneral usage looks like:\n\n`guds -f <filename> -t <upload data type>  -b <basin name> -m <mask netcdf>`\n\nUploading styles is done by:\n\n`guds -f <filenames> -t styles`\n\n### Upload Type\nGUDS is designed to handle 3 different types of data.\n\n1. Modeled output - The modeled output should be a netcdf containing a single\nday of spatial data representing the snowpack parameters. The netcdf should at\nat leat contain the variables: specific_mass, thickness, snow_density\n\n2. Topographic - To run AWSM, there is a set of static images required that\ndescribe the envrionment to the modeling system. This file should also be a\nnetcdf and any images in the file will be uploaded.\n\n3. Flights - Eventually  Lidar snow depth images will be uploadable, in the\nmean time it is under development.\n\n4. Styles - Upload SLD type styles to the geoserver, currently only applies to\nrasters\n\n5. shapefiles - upload .shp files to the geoserver. Note that all the supporting\nfiles must exist in the same path, e.g. (tuolumne.shp, tuolumne.prj ...)\n\n### Download Type\n\n1. Modeled Output - Original netcdf of the modeled data can be downloaded\n\n### Specifying the basin\nTo upload data, GUDS must receive a basin flag to know how to organize it.\nCurrently the options are:\n\n  * brb (Boise River Basin)\n  * tuolumne\n  * merced\n  * sanjoaquin\n  * kings\n  * kaweah\n\n### Specifying Credentials\nFor security reasons GUDS requires a json file describing your credentials for\nlogging on which is assumed to be `./geoserver.json`. It should contain the\nfollowing keys:\n\n  * url - url of the AWS instance\n  * geoserver_username - username on the geoserver\n  * geoserver_password - Password for the geoserver\n  * data - Location of the data folder on the server\n\nAfter installing you can also run the following to get a blank credentials file.\n\n`guds --write_json`\n\n### Masking\nA mask can be provided to mask the data. To do so use the `--mask` flag to\nto pass a path to a netcdf containing a mask variable that is on the same bounds\nas the uploaded data.\n\n\n# Development History\n\n### 0.1.0\n\n* First upload to pypi\n* Uploads AWSM modeled data to a geoserver\n* Uploads Static Topographic files to a geoserver\n* Installs a commandline tool for uploading\n\n### 0.2.0\n\n* Added modeled data downloads\n\n### 0.3.0\n\n* Uploads batches of styles\n* Styles attempt to auto detect/assign to layers upon generation\n* Overwriting of existing layers\n\n### 0.4.0\n\n* Writes a new layer for each modeled variable called latest\n\n### 0.5.0\n\n* Fixed major issue with pushing data, no scp required\n* Uploads Shapefiles\n* Uploads Lidar flights\n\n\n### 0.6.0\n\n* Added in PNG uploading for serving tables\n* Added in Cold Content\n* Modeled results get merged (snow.nc and em.nc)\n\n\n\n",
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        "keywords": "guds,geoserver,modeling",
        "license": "GNU General Public License v3",
        "maintainer": "",
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        "name": "guds",
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