Metadata-Version: 2.1
Name: aurora-asi-lib
Version: 0.1.4
Summary: Easily download, plot, animate, and analyze auroral all sky imager (ASI) data.
Home-page: https://github.com/mshumko/aurora-asi-lib
Author: Mykhaylo Shumko
Author-email: msshumko@gmail.com
License: GNU GENERAL PUBLIC LICENSE v3.0
Description: ![Test python package](https://github.com/mshumko/aurora-asi-lib/workflows/Test%20python%20package/badge.svg)
        # aurora-asi-lib
        Easily download, plot, animate, and analyze aurora all sky imager (ASI) data. Currently the two supported camera systems (missions) are: 
        * Red-line Emission Geospace Observatory (REGO)
        * Time History of Events and Macroscale Interactions during Substorms (THEMIS).
        
        Feel free to contact me to add other ASI missions to this library.
        
        ## Examples
        Before you can run these examples you will need to configure the ASI data and movie directory via ```python3 -m asilib config``` (see the installation steps below).
        
        ### Example 1
        This example uses asilib to visualize a bright auroral arc.
        ```python
        from datetime import datetime
        
        import matplotlib.pyplot as plt
        
        import asilib
        
        # A bright auroral arc that was analyzed by Imajo et al., 2021 "Active 
        # auroral arc powered by accelerated electrons from very high altitudes"
        frame_time, ax, im = asilib.plot_frame(datetime(2017, 9, 15, 2, 34, 0), 'THEMIS', 'RANK', 
                            color_norm='log', force_download=False)
        plt.colorbar(im)
        ax.axis('off')
        plt.show()
        ```
        
        ### Example 2
        This example uses asilib to make a 5 minute movie of an auroral arc brightening right as a meteor burns up at zenith!
        
        ```python
        from datetime import datetime
        
        import asilib
        
        time_range = (datetime(2015, 3, 26, 6, 7), datetime(2015, 3, 26, 6, 12))
        asilib.plot_movie(time_range, 'THEMIS', 'FSMI')
        ```
        
        ## Installation
        To install this package as a user, run:
        
        ```shell
        python3 -m pip install aurora-asi-lib
        ```
        
        To install this package as a developer, run:
        
        ```shell
        git clone git@github.com:mshumko/aurora-asi-lib.git
        cd aurora-asi-lib
        pip3 install -r requirements.txt
        ```
        
        
        In either case, you'll need to configure your system paths to tell `asilib` (the import name) where to save the ASI data and movies. Run ```python3 -m asilib config``` to set up the data directory where the image, calibration, and movie files will be saved. Your settings will be stored in `config.py`. If you configure `asilib`, but don't specify a data directory, a default directory in `~/asilib-data` will be created if it doesn't exist.
        
        ### ffmpeg dependency
        To make  movies you'll also need to install the ffmpeg library.
         - **Ubuntu**: ```apt install ffmpeg```
         - **Mac**: ```brew install ffmpeg```
        
        __NOTES__
        - If you get the "ERROR: Could not build wheels for pymap3d which use PEP 517 and cannot be installed directly" error when installing, you need to upgrade your pip, setuptools, and wheel libaries via ```python3 -m pip install --upgrade pip setuptools wheel```.
        
        ## User Guide
        **Note** These are top-level descriptions: The full parameter list and an example for each function is accessible via the built-in ```help()``` function. 
        
        **Note 2** The longitude units are converted from 0->360 to -180->180 degrees in the calibration files.
        
        ### Download ASI Data
        To download ASI data, the programs in the ```asi-lib/download/``` search for and download the THEMIS and REGO image and calibration data.
        
        * `asilib.download_themis_img()` and `asilib.download_rego_img()`: downloads the THEMIS and REGO images in the common data format (CDF) files.
        * `asilib.download_themis_cal()` and `asilib.download_rego_cal()`: downloads the THEMIS and REGO images in the common data format (CDF) files.
        
        ### Load ASI Data
        There are a few data loading functions that automaticaly call the download programs if a file is not found on the local computer or the user explicitly passes ```force_download = True``` to force the download. These functions are in `config.py`.
        
        * `asilib.load_img_file()`: Returns an `cdflib.CDF()` file object for an ASI
        file specified by the date-time, mission, and station. See the [cdflib](https://github.com/MAVENSDC/cdflib) documentaion for the CDF interface.
        * `asilib.load_cal_file()`: Returns an dictionary containing the latest calibration data from a specified mission/station. Be aware that the longitude is mapped from 0 to 360 to -180 to 180 degrees.
        * `asilib.get_frame()`: Given a mission/station and a date-time, this function calls `asilib.load_img_file()` and returns the time stamp and one image (frame) with a time stamp within ```time_thresh_s = 3``` seconds (optional kwarg), otherwise an AssertionError is raised if a ASI time stamp is not found.
        * `asilib.get_frames()`: Given a mission/station and a date-time ```time_range```, this function calls `asilib.load_img_file()` and returns an array of time stamps and images observed at times inside the ```time_range```.
        
        ### Plot ASI Data
        There are two modules that plot a single frame or a series of frames.
        
        * `asilib.plot_frame()`: Given a mission/station and a date-time arguments, this function calls `asilib.get_frame()` and plots one ASI frame. By default, the color map is black-white for THEMIS and black-red for REGO, the color scale is logarthmic, and color map limits are automatically set as ```(25th percentile, min(98th percentile, 10x25th percentile))```. This ensures a good dynamic range for each frame. The subplot object, the frame time, and the ```plt.imshow()``` objects are returned so the user can add to the subplot.
        
        * `asilib.plot_movie()`: Similar to `asilib.plot_frame()`, given a mission/station and a ```time_range``` arguments, this function calls `asilib.get_frames()` and plots one multiple ASI frames and saves them to ```/data/movies/```. Movie file creation, such as an `mp4` or `gif`, is not implemented yet because I have not found a movie writer that is available between Windows/Linux/Mac.
        
        * `plot_movie_generator()` TBD
        
        * `plot_collage()`: Similar to `asilib.plot_movie()` in that the arguments are the same, but this function returns a collage of images with the time stamps annotated.
        
        ### Mapping satellite position to the skyfield
        * `asilib.map_skyfield()`: maps the satellite coordinates from LLA (latitude, longitude, altitudes) to the ASI image x and y pixel indices. This function relies on the azimuth and elevation calibration files that can be downloaded via `asilib.load_cal_file()`. This function does **not** map the satellite position along the magnetic field line, that is done by `map_along_magnetic_field.py` and requires IRBEM-Lib to be installed (beyond the scope of this user guide).
        * `map_along_magnetic_field.py`: magnetically maps the satellite LLA coordinates with time stamps to a specified altitude. The hemisphere of the mapping can be: same, opposite, northern, or southern. 
        
        # Contributing
        I welcome collaboration on this project. I need the most help with keeping up with documentation, writing more unittests, and adding other ASI missions. Please contact me or start a Pull Request with your suggestions. 
        
        To install the developer dependencies, clone this repo, `cd aurora-asi-lib` and then run `python3 -m pip install -r requirements.txt -e .`
        
        ## Testing
        To run the asilib unit tests, change directory into `asi-lib` and run ```python3 -m unittest discover -v```. These tests take a few minutes to run because it must download REGO and THEMIS image files. 
        
        These tests are continously intergrated when the `main` branch is updated by a GitHub runner (virtual machine) using `pytest` and the configuration is saved in `.github/workflows/ci.yml`.
        
        ## Styling with black
        I adoped the [black](https://pypi.org/project/black/) style with two modifications: line length is set to 100 characters, and I suppress the double-quote string setting. To run black from the `aurora-asi-lib` directory, run 
        
        ```python3 -m black -l 100 -S asilib/```.
        
        ## Change version
        To change the version you will need to use `bumpversion` to bump the version by a major X.0.0, minor, 0.X.0, or patch 0.0.X (where X is incremented). Call ```bumpversion [major|minor|patch]``` in the command line to increment the version number.
        
Keywords: aurora, all sky imager, Red-line Emission Geospace Observatory, REGO,,Time History of Events and Macroscale Interactions during Substorms, THEMIS
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
