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Merge pull request #34 from GeoscienceAustralia/release-v1.5.4
Release v1.5.4
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CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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# [1.5.4] 2023-05-07
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### Added
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New dependency - Ginan relies on the python gnssanalysis tools (installable by pip) for running most scripts, although it is not required to run the main products themselves.
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### Changed
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### Fixed
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POD no longer stops if sat is UNHEALTHY set by PEA at end of satellite loop.
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### Deprecated
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### Removed
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### Security
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# [1.5.3] 2023-04-04
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### Added
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README.md

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: This script will install all dependencies, clone the Ginan repo into the current directory and build the Ginan toolkit.
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#### `Ginan v1.5.3 release`
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#### `Ginan v1.5.4 release`
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## Overview
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You can quickly download a ready-to-run Ginan environment using docker by running:
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docker run -it -v /data:/data gnssanalysis/ginan:v1.5.3 bash
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docker run -it -v /data:/data gnssanalysis/ginan:v1.5.4 bash
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This command connects the `/data` directory on the host (your pc), with the `/data` directory in the container, to allow file access between the two systems, and opens a command line (`bash`) for executing commands.
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```
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***
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## Install gnaaanalysis python module
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```executable
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sudo pip install gnssanalysis
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:<<'```executable'
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## Download
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And follow the on-screen instructions (choosing all defaults is fine).
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### Create virtual environment
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After installation you can create the `gn37` python environment using a prepared receipy. First open a new terminal session and enter:
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After installation you can create the `gn37` python environment using a prepared recipe. First open a new terminal session and enter:
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conda env create -f <dir_to_ginan>/scripts/conda_gn37.yaml
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And then run your desired script from the `scripts` directory.
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### Auto Download Script
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The auto download script available in the `scripts` directory is a python tool that will automatically download various inputs needed to run Ginan
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The detailed feautures of each option can be found by changing to the `scripts` directory and running
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python3 auto_download_PPP.py --help
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However, some of the features include:
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* the ability to download RINEX files from Geoscience Australia's `gnss-data` data repository,
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* the ability to choose between final, rapid and ultra-rapid file types
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* the ability to choose the analysis centre (apart from SNX coordinate and BIA bias files which come from IGS and COD, respectively)
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To get started try the following examples:
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Examples to run:
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#### Download necessary real-time inputs:
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python3 auto_download_PPP.py --target-dir="/data/tmp-dwn" --preset="real-time"
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#### Download inputs for post-processed runs:
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using most defaults:
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python3 auto_download_PPP.py --target-dir="/data/tmp-dwn" --preset="igs-station" --station-list="ALIC,DARW" --start-datetime="2023-02-24_00:00:00" --end-datetime="2023-02-26_00:00:00"
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choosing the solution type (ultra-rapid) and analysis centre (ESA):
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python3 auto_download_PPP.py --target-dir="/data/tmp-dwn" --preset="igs-station" --station-list="ALIC,DARW" --start-datetime="2023-02-24_00:00:00" --end-datetime="2023-02-26_00:00:00" --solution-type="ULT" --analysis-center="ESA"
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### Acknowledgements:
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We have used routines obtained from RTKLIB, released under a BSD-2 license, these routines have been preserved with minor modifications in the folder `cpp/src/rtklib`. The original source code from RTKLib can be obtained from https://github.com/tomojitakasu/RTKLIB.
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