118 Commits

Author SHA1 Message Date
Marco Dalla Tiezza
7c6fc179a1 Merge pull request #62 from AresValley/develop
Updated to 4.1.0
2024-10-20 20:00:33 +02:00
Marco Dalla Tiezza
2513f5d1e5 Updated resources and docs 2024-10-20 19:59:39 +02:00
Marco Dalla Tiezza
32a9ecddbf Final bump to 4.1.0 2024-10-20 19:47:27 +02:00
Marco Dalla Tiezza
f2f5c1dc3d Fixed Windows logo 2024-10-20 19:30:53 +02:00
Marco Dalla Tiezza
f67ee9bc92 Bumpt to python 3.12, updated action files and changelog 2024-10-20 19:22:25 +02:00
Marco Dalla Tiezza
7a696451f0 Updated dependencies and docs 2024-10-20 19:13:40 +02:00
Marco Dalla Tiezza
ff91da3c20 Rolling out DB v71 2024-10-11 01:26:56 +02:00
Marco Dalla Tiezza
53a7a1dda2 Update 2024-10-11 01:23:14 +02:00
Marco Dalla Tiezza
c229f51945 Rolling out DB v70 2024-08-31 15:14:21 +02:00
Marco Dalla Tiezza
2cbeec6af3 Added possibility to activate additionl printings aimed to debug for qt plugins 2024-06-27 12:34:01 +02:00
Marco Dalla Tiezza
463a532c27 Updated documentation for SSA and Sun Imagers 2024-06-27 12:20:58 +02:00
Marco Dalla Tiezza
a3bc1b0c59 Complete the UV imagers part with Atmospheric Imagery Assembly 2024-06-27 01:08:43 +02:00
Marco Dalla Tiezza
ccc6e99a7f Added Synoptic Analysis, UV Imagers, and Spectrometric Coronagraph 2024-06-25 00:38:00 +02:00
Marco Dalla Tiezza
b8e6075aa0 Updated dependencies. Previous commit closes #4 2024-06-24 22:18:21 +02:00
Marco Dalla Tiezza
ddb952b894 Updated audio player with settings 2024-06-24 18:48:53 +02:00
Marco Dalla Tiezza
76bcbac60a Updated readme.md 2024-06-22 18:37:44 +02:00
Marco Dalla Tiezza
319b11e77c Rolling out DB v65 2024-06-22 15:17:22 +02:00
Marco Dalla Tiezza
5f513b1c76 Rolling out v4.0.5 2024-06-15 12:38:22 +02:00
Marco Dalla Tiezza
36648e08cc Updated message on preference window, bump Artemis version to 4.0.5 2024-06-15 12:09:14 +02:00
Marco Dalla Tiezza
d61caa1ada Removed unused imports, added date parser for db info data 2024-06-15 12:01:33 +02:00
Marco Dalla Tiezza
6fdd36b548 Code optimized: removed an additional db loading 2024-06-15 11:44:01 +02:00
Marco Dalla Tiezza
6213e8b1ca Added creation date and version of the db on db manager window 2024-06-15 00:55:05 +02:00
Marco Dalla Tiezza
d0bfbe40d7 New logic for local sigid search 2024-06-15 00:40:00 +02:00
Marco Dalla Tiezza
ebda950c87 Updated docs 2024-06-14 21:33:42 +02:00
Marco Dalla Tiezza
c803a72489 Updated changelog and resources (after merge) 2024-06-14 01:18:48 +02:00
Marco Dalla Tiezza
70758ea8bd Merge pull request #51 from AresValley/revised-networking
Revised network manager, update manager and downloader
2024-06-13 23:08:42 +00:00
Marco Dalla Tiezza
6c0b1b7e04 Merge branch 'master' into revised-networking 2024-06-13 23:07:30 +00:00
Marco Dalla Tiezza
c17c1fdbea Updated resources 2024-06-14 01:01:53 +02:00
Marco Dalla Tiezza
8138cf8e38 Docs update 2 2024-06-14 00:14:04 +02:00
Marco Dalla Tiezza
0b416f0a2e Docs update 2024-06-13 23:55:41 +02:00
Marco Dalla Tiezza
1d0c459402 Fixed a potential issue where the downloader window closes but the downloader instance keeps running 2024-06-13 19:19:21 +02:00
Marco Dalla Tiezza
0f898ff6f5 Introduced temporary folder 2024-06-13 16:16:36 +02:00
Marco Dalla Tiezza
c58d85c6a2 Fixed bug of space_weather introduced with the new update_manager 2024-06-13 15:52:47 +02:00
Marco Dalla Tiezza
f73034c35c Preparatory update for the new update manager 2024-06-13 15:46:56 +02:00
Marco Dalla Tiezza
77c43813a0 Final ieration of the new downloader and update_manager, implemented automatic updates only for windows 2024-06-13 15:46:25 +02:00
Marco Dalla Tiezza
b01bd99ecf Preparatory update for the new update manager 2024-06-13 14:57:36 +02:00
Marco Dalla Tiezza
146a5d1605 First implementation of the auto update for windows 2024-06-13 14:40:07 +02:00
Marco Dalla Tiezza
ea245c853b Updated changelog and documentation 2024-06-13 12:20:12 +02:00
Marco Dalla Tiezza
e57e9bf8e4 Artemis can be fully navigated (and so the signal list) just with the keyboard, fixed #50 2024-06-13 11:42:24 +02:00
Marco Dalla Tiezza
70ed158b02 Updated resources, fixed typo 2024-06-13 02:06:45 +02:00
Marco Dalla Tiezza
1d795b688e File size request from HTTP header, handled the indeterminate size case 2024-06-13 01:54:59 +02:00
Marco Dalla Tiezza
52c4fbcce9 Downloader has been generalized, now network_utils is update_utils 2024-06-13 01:05:53 +02:00
Marco Dalla Tiezza
79891899ce Improved label readability, handled non critical exception about filtering without a loaded DB 2024-06-12 23:16:48 +02:00
Marco Dalla Tiezza
dde223d2ac Updated documentation 2024-06-12 21:20:18 +02:00
Marco Dalla Tiezza
43ddee410a Removed unnecessay arguments (now default) for nuitka 2024-06-11 18:37:50 +02:00
Marco Dalla Tiezza
ecbf10ebb5 Rolling out v4.0.3 2024-06-10 22:20:37 +02:00
Marco Dalla Tiezza
5d3cdb7abb Updated to v4.0.3 (hotfix) 2024-06-10 21:57:47 +02:00
Marco Dalla Tiezza
5b8670814b Removed setProperty and findChild in dowloader.py for code uniformity 2024-06-10 21:51:53 +02:00
Marco Dalla Tiezza
19acf11b1a Fixed a potential bug affecting ARM architecture 2024-06-10 21:30:28 +02:00
Marco Dalla Tiezza
39056d1d91 Updated name of excluded DLLs (only for linux since it is using a lib prefix) 2024-06-10 21:22:32 +02:00
Marco Dalla Tiezza
436c54b733 Fixed #48 an error occurig on Linux where configuration file path are not properly resolved during startup with the binary version of the program 2024-06-10 20:40:46 +02:00
Marco Dalla Tiezza
b48a42dcc8 Explicit DLLs inclusion/exclusion in Nuitka, close #47 2024-06-10 16:55:04 +02:00
Marco Dalla Tiezza
e00e21c46a Fixed #46 2024-06-10 11:56:27 +02:00
Marco Dalla Tiezza
2aa821ee65 Minor docs fix 2024-06-09 16:42:19 +02:00
Marco Dalla Tiezza
5ab0c39aa9 Rolling out v4.0.1 2024-06-09 16:31:21 +02:00
Marco Dalla Tiezza
f09bbd3311 Revert "Bump Nuitka 2.3.1"
This reverts commit 91589018a3.
2024-06-09 16:07:24 +02:00
Marco Dalla Tiezza
91589018a3 Bump Nuitka 2.3.1 2024-06-09 15:42:40 +02:00
Marco Dalla Tiezza
d41c9e1ed6 Added installer icon, bump version 4.0.1 2024-06-09 15:36:54 +02:00
Marco Dalla Tiezza
0cbd9a7a0b Updated documentation 2024-06-09 15:17:13 +02:00
Marco Dalla Tiezza
7db68ab2ad Integrity check for the configuration parser 2024-06-06 22:34:51 +02:00
Marco Dalla Tiezza
c7c53b5a68 Solved clipping of the scrollbar on different textareas 2024-06-06 20:12:29 +02:00
Marco Dalla Tiezza
9d2443b0f0 Updated docs 2024-06-06 19:20:03 +02:00
Marco Dalla Tiezza
2c3ffd5e66 Updated readme image 2024-06-06 19:15:46 +02:00
Marco Dalla Tiezza
485eccb373 Added DB autoload on startup option 2024-06-06 19:06:45 +02:00
Marco Dalla Tiezza
faf9a5293a Normalized K and A index lights to NOAA standard nomnclature 2024-06-06 18:11:15 +02:00
Marco Dalla Tiezza
e58cf4d206 Updated docs 2024-06-06 15:51:20 +02:00
Marco Dalla Tiezza
1b48405c14 Rolling out DB v61 2024-06-05 22:20:43 +02:00
Marco Dalla Tiezza
c8fcb2c3e0 Added project webpage in help section 2024-06-05 21:03:06 +02:00
Marco Dalla Tiezza
ab8403c16e Corrected few docs typo 2024-06-05 00:05:00 +02:00
Marco Dalla Tiezza
7929c23ac5 Fixed a bug introduced in 10607c88ea 2024-06-04 22:15:44 +02:00
Marco Dalla Tiezza
707cc001cf Updated docs about new text search behaviour 2024-06-04 21:57:56 +02:00
Marco Dalla Tiezza
4594237c09 Added volume slider and mute bbutton to audio player, closed #45 2024-06-04 21:43:57 +02:00
Marco Dalla Tiezza
10607c88ea Searches in the name field has been extended to the description as well (close #44) 2024-06-04 19:51:21 +02:00
Marco Dalla Tiezza
f61527ed70 Locked audio player upon signal deletion 2024-06-04 19:30:15 +02:00
Marco Dalla Tiezza
4e7ebcc2f5 Read-only ops are separated in different standard and OS dependent folders from read-write ones (fixed #43), bump Nuitka 2.3 2024-06-04 19:25:12 +02:00
Marco Dalla Tiezza
16e2668fe9 Forced std error and std output in building script for Windows for logging purposes 2024-06-02 00:57:32 +02:00
Marco Dalla Tiezza
cc607fdd28 Added more extension for FileDialog 2024-06-01 22:28:13 +02:00
Marco Dalla Tiezza
f5565a6b5e Basic Operations chapter added to the docs 2024-06-01 22:22:14 +02:00
Marco Dalla Tiezza
04bc4cce5f Added documentation for the new 2 products implemented in the previous commits 2024-06-01 13:12:15 +02:00
Marco Dalla Tiezza
c6afcc0e75 Added Aurora Forecast Model 2024-06-01 11:48:27 +02:00
Marco Dalla Tiezza
3fdbdbfae4 Added D-Region Absorption Predictions 2024-05-31 19:59:51 +02:00
Marco Dalla Tiezza
359e5c9076 Added Sporadic-E and Aurora spots in RF propagation panel 2024-05-31 16:48:27 +02:00
Marco Dalla Tiezza
7a89b64ca8 Code polished from unused functions 2024-05-31 16:36:34 +02:00
Marco Dalla Tiezza
e2a48e7a54 Docs updated and corrected a type in the space weather window 2024-05-30 18:25:18 +02:00
Marco Dalla Tiezza
2a70e42a59 Changed to GitHub hosted latest software and db version manifest 2024-05-30 12:48:29 +02:00
Marco Dalla Tiezza
f0db05c96e Fixed typo in .iss file 2024-05-28 22:56:46 +02:00
Marco Dalla Tiezza
528c816508 Artemis 4 RC1 2024-05-28 22:40:45 +02:00
AresValley
acc44c93b3 Changed default theme 2023-04-18 19:43:39 +02:00
AresValley
0a5fefa214 Production .yml for windows OS 2023-04-18 19:42:36 +02:00
AresValley
c658e072f7 Small correction 2023-04-16 18:12:30 +02:00
AresValley
81f9e958d6 Action updated to incorporate icon on macOS devices 2023-04-16 18:08:38 +02:00
AresValley
b41ad0e8f2 Updated Nuitka-windows.yml 2022-12-13 21:32:47 +01:00
AresValley
ed8be2d274 Uptade Nuitka yml for windows 2022-10-04 13:53:48 +02:00
AresValley
1cbf01f307 Nuitka compatibility for cacert.pem path 2022-10-04 13:35:42 +02:00
AresValley
93a946e2a9 Fixed macOS yml 2022-10-04 01:48:54 +02:00
AresValley
fef8b71c46 Extended IS_BINARY func: added Nuitka compatibility 2022-10-04 01:39:40 +02:00
AresValley
adf7421c94 Added macOS Nuitka action 2022-10-04 01:37:26 +02:00
AresValley
047d5c8ffd Update Linux Nuitka action 2022-10-03 23:18:21 +02:00
AresValley
b6d7f39efc Updater included during compiling with Nuitka 2022-10-03 17:55:11 +02:00
AresValley
cc0efafc92 Updated .ymls, created nuitka .yml 2022-10-03 15:49:25 +02:00
Marco Dalla Tiezza
6ace19d75c Merge pull request #35 from AresValley/Linux-and-MacOS-autopack
Linux, MacOS packaging actions and updated readme
2022-10-01 19:45:27 +02:00
AresValley
d2e0ece9eb Linux and MacOS autopack actions 2022-10-01 19:40:06 +02:00
AresValley
d1716621b0 Auto packaging script for Linux OS 2022-10-01 12:30:32 +02:00
AresValley
cd5d31b404 Updated changelog 2022-09-30 22:37:22 +02:00
AresValley
5a1db2c0d4 Updated version info 2022-09-30 22:33:25 +02:00
AresValley
e4fdf1d564 Changed python version (3.10->3.9) for packaging 2022-09-30 22:10:12 +02:00
AresValley
3e02dd7bfa Updated changelog and version 2022-09-29 18:12:56 +02:00
AresValley
0e20fcbc71 Auto packaging for windows with GitHub actions 2022-09-29 18:02:38 +02:00
Marco Dalla Tiezza
91099940ff Merge pull request #34 from pinkavaj/pi-fix-play
Fix crash for playing audio
2022-09-29 17:58:29 +02:00
Jiří Pinkava
490d9cf3e6 Fix crash for playing audio
pygame 2.1.2 (SDL 2.24.0, Python 3.10.7
  File "audio_player.py", line 122, in _set_max_progress_bar
    self._audio_progress.setMaximum(
TypeError: setMaximum(self, int): argument 1 has unexpected type 'float'
2022-09-27 23:39:24 +02:00
Marco Dalla Tiezza
c84b0d2963 Update README.md 2022-07-29 22:15:57 +02:00
Marco Dalla Tiezza
e69f6a2bee Minor fix, updated dependencies 2022-07-28 23:56:07 +02:00
Alessandro
c16de1f1eb Advance version in artemis.py 2020-05-19 14:55:49 +02:00
Alessandro
bf3efd11a4 Merge branch 'master' of https://github.com/AresValley/Artemis 2020-05-19 14:54:25 +02:00
Alessandro
4a26ac58d0 Fix #23 Revert a bug introduced with ab32fbbf98
Crash if checking for updates without an internet connection
2020-05-19 14:54:02 +02:00
Marco Dalla Tiezza
26f329740d Update README.md for RPi 2020-05-11 12:31:18 +02:00
Marco Dalla Tiezza
0825b8f7d1 Merge pull request #22 from WheezyE/patch-1
raspbian_build.sh
2020-05-11 12:10:00 +02:00
WheezyE
896fef5f2d raspbian_build.sh
This script will automatically install Artemis' build requirements (pip modules) and then build Artemis.
The script accomplishes this by: Detecting which Raspbian operating system is being used (Buster or Stretch), installing PyEnv on the system (if PyEnv isn't already installed), installing a Python v3.7.0 virtual environment inside of PyEnv (so that Artemis' pip modules do not conflict with Raspbian's System Python), installing pip modules (Artemis requirements) within virtual Python 3.7.0 (modules are specific to Buster or Stretch), then building Artemis (using build.sh).  If the script is re-run, it will skip over parts it has already installed. 
 Options are included to clean up after the script is run.
This script takes 14 hours on a Pi 0W, but much less time on multi-core Pi's.
2020-05-10 21:17:08 -07:00
269 changed files with 17923 additions and 29345 deletions

32
.github/workflows/linux.yml vendored Normal file
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@@ -0,0 +1,32 @@
name: Nuitka - Linux
on:
workflow_dispatch:
inputs:
artemis_version:
description: 'Version'
required: true
default: '4.1.0'
type: string
jobs:
build-linux-x86_64:
runs-on: ubuntu-20.04
steps:
- name: Check out code
uses: actions/checkout@v4
- name: Setup python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Build and package
run: sh ./building/Linux/build_linux.sh
shell: bash
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: Artemis-Linux-x86_64-${{github.event.inputs.artemis_version}}
path: ./app.dist/

32
.github/workflows/macOS.yml vendored Normal file
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@@ -0,0 +1,32 @@
name: Nuitka - macOS
on:
workflow_dispatch:
inputs:
artemis_version:
description: 'Version'
required: true
default: '4.1.0'
type: string
jobs:
build-macos-x86_64:
runs-on: macos-12
steps:
- name: Check out code
uses: actions/checkout@v4
- name: Setup python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Build and package
run: sh ./building/macOS/build_macos.sh
shell: bash
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: Artemis-macOS-x86_64-${{github.event.inputs.artemis_version}}
path: ./app.dist/

35
.github/workflows/windows.yml vendored Normal file
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@@ -0,0 +1,35 @@
name: Nuitka - Windows
on:
workflow_dispatch:
inputs:
artemis_version:
description: 'Version'
required: true
default: '4.1.0'
type: string
jobs:
build-windows-x86_64:
runs-on: windows-latest
steps:
- name: Check out code
uses: actions/checkout@v4
- name: Setup python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Build and package
run: ./building/Windows/build_windows.ps1
shell: powershell
- name: Building installer (ISCC)
run: iscc ./building/Windows/windows_installer.iss
- name: Upload artifact
uses: actions/upload-artifact@v4
with:
name: Artemis-Windows-x86_64-${{github.event.inputs.artemis_version}}
path: ./building/artemis.exe

20
.gitignore vendored
View File

@@ -1,11 +1,11 @@
__PYCache__ **/__pycache__/
Data
src/themes/__current_theme
designer.bat
launch.bat
.vscode/ .vscode/
.code-workspace *.pyproject.user
spec_files/**/output data/
*.txt .flake8
*.json *.qtds
info.log artemis_rc.py
site
Generated
app.build
app.dist

View File

@@ -1,10 +1,90 @@
# Changelog # Changelog
This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html) and the format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
The first release is [3.0.0] because this is actually the third major version (completely rewritten) of the software. > [!NOTE]
> This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html) and the format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [Unreleased] ## [Unreleased]
...
## [4.1.0] - 2024-10-20
### Added
- Created a setting panel for the audio player
- Selection of the audio output device. Closes [#4](https://github.com/AresValley/Artemis/issues/4)
- Added the following (advanced) products to the space weather module. Closes [#53](https://github.com/AresValley/Artemis/issues/53):
- Sun Synoptic Analysis (SAS)
- GOES Solar Ultraviolet Imager (SUVI), all wavelenght (94 Å, 131 Å, 171 Å, 195 Å, 284 Å, 304 Å)
- GOES Thematic Map (from SUVI)
- Large Angle and Spectrometric Coronagraph (LASCO), both C2/C3 range for optical imaging of the Suns corona
- Helioseismic and Magnetic Imager (HMI): Magnetogram, Intensitygram, Dopplergram
### Fixed
- Fixed margins for downloader window
## [4.0.5] - 2024-06-15
### Added
- Possibility to navigate Artemis just with the keyboard [#50](https://github.com/AresValley/Artemis/issues/50)
- **Windows:** automatic updates have been implemented. When a software update is available, Artemis will download the new version and install the updates automatically
- Multiple sigID databases can be conserved. In the case of autoload, the latest local version will be loaded
- Added creation date and DB version in DB manager window
### Changed
- Improved readability of labels for filter ranges for frequency, bandwidth, and ACF
- Improved Update manager and Downloader functionalities
- OS-dependent temporary folders are now used for database download and Artemis updates
- The logic for searching the last sigID database has changed now the discriminant is no longer the folder name but is reported as a signature in the database itself (-1 in the editable field; see documentation)
- Old sigID databases are not deleted anymore when a new version is downloaded. This is to avoid removing databases with user changes or additions
### Fixed
- Added a database load check to avoid (noncritical) exceptions when applying filters without having loaded a database.
- Fixed a potential issue involving the forcible closure of the downloader window, but the downloader instance keeps running
- With the new logic in the latest sigID database search, manually imported sigID databases are officially recognized as proper ones
## [4.0.3] - 2024-06-10
### Changed
- Optimized final package size (reduced by 30% to 50%) by explicitly including necessary plugins/DLLs and excluding unnecessary ones with Nuitka [#47](https://github.com/AresValley/Artemis/issues/47)
### Fixed
- When the links/urls in the description field of a signal are clicked, they open the default browser [#46](https://github.com/AresValley/Artemis/issues/46)
- Fixed an error occurig on Linux where configuration file path are not properly resolved during startup with the binary version of the program (they are if running from source) [#48](https://github.com/AresValley/Artemis/issues/48)
## [4.0.1] - 2024-06-9
### Added
- Database format has been changed from .csv to a proper relational DB (sqlite) which is much easier handled thanks to the native library shipped with python
- Possibility to create an arbitrary number of new databases for storing new custom signals
- Every signal allows an arbitrary number of parameters
- All signal parameters (such as frequency, modulation, location, etc.) are now followed by a description
- Databases can be exported/imported for easy sharing
- Possibility to store and view all type of documents related to a signal entry
- Filtration process is now much more efficient due to usage of SQL queries
- D-Region Absorption Predictions (DRAP) and Aurora OVATION model are now present in the Space Weather window
### Changed
- Updated GUI libray from PyQt5 to PySide6. Artemis 4 now relies on the QtQuick framework.
- SigID standard database is now hosted on GitHub (the server is much faster) along with the website parser
- Undefined value for frequency and bandwidth is now deprecated
- Drastically reduced the number of third party libraries
- The signals filtering page has been simplified to be more immediate and user friendly
- Space weather page has been greatly improved and now relies on Poseidon daemon (hosted on aresvalley.com)
### Fixed
- Artemis can be execunted inside standard pretected folder (such as Program Files) without using elevated privileges
## [3.2.4] - 2022-09-30
### Fixed
- Fixed crash on opening the Rx/Tx Condition tab
## [3.2.3] - 2022-09-29
### Added
- Add auto-packaging feature using GitHub actions for Windows OS (experimental)
### Fixed
- Fix crash for playing audio ([#34](https://github.com/AresValley/Artemis/pull/34))
## [3.2.2] - 2022-07-29
### Fixed
- Fixed crash on startup or if checking for updates without an internet connection ([#23](https://github.com/AresValley/Artemis/pull/23))
- Updated dependencies for security reasons (urllib3) and to address the main application failure to launch under certain conditions.
## [3.2.1] - 2020-04-25 ## [3.2.1] - 2020-04-25
### Added ### Added
@@ -18,7 +98,6 @@ The first release is [3.0.0] because this is actually the third major version (c
## [3.2.0] - 2019-12-14 ## [3.2.0] - 2019-12-14
### Added ### Added
- The default font can be changed ([#14](https://github.com/AresValley/Artemis/pull/14)). - The default font can be changed ([#14](https://github.com/AresValley/Artemis/pull/14)).
- Move `Themes` into `Settings`. - Move `Themes` into `Settings`.
@@ -56,9 +135,16 @@ First release.
<!-- Links definitions --> <!-- Links definitions -->
[Unreleased]: https://github.com/AresValley/Artemis/compare/v3.2.1...HEAD [Unreleased]: https://github.com/AresValley/Artemis/compare/v4.1.0...HEAD
[4.1.0]: https://github.com/AresValley/Artemis/compare/v4.0.5...v4.1.0
[4.0.5]: https://github.com/AresValley/Artemis/compare/v4.0.3...v4.0.5
[4.0.3]: https://github.com/AresValley/Artemis/compare/v4.0.1...v4.0.3
[4.0.1]: https://github.com/AresValley/Artemis/compare/v3.2.4...v4.0.1
[3.2.4]: https://github.com/AresValley/Artemis/compare/v3.2.1...v3.2.4
[3.2.3]: https://github.com/AresValley/Artemis/compare/v3.2.2...v3.2.3
[3.2.2]: https://github.com/AresValley/Artemis/compare/v3.2.1...v3.2.2
[3.2.1]: https://github.com/AresValley/Artemis/compare/v3.2.0...v3.2.1 [3.2.1]: https://github.com/AresValley/Artemis/compare/v3.2.0...v3.2.1
[3.2.0]: https://github.com/AresValley/Artemis/compare/v3.1.0...v3.2.0 [3.2.0]: https://github.com/AresValley/Artemis/compare/v3.1.0...v3.2.0
[3.1.0]: https://github.com/AresValley/Artemis/compare/v3.0.1...v3.1.0 [3.1.0]: https://github.com/AresValley/Artemis/compare/v3.0.1...v3.1.0
[3.0.1]: https://github.com/AresValley/Artemis/compare/v3.0.0...v3.0.1 [3.0.1]: https://github.com/AresValley/Artemis/compare/v3.0.0...v3.0.1
[3.0.0]: https://github.com/AresValley/Artemis/releases/tag/v3.0.0 [3.0.0]: https://github.com/AresValley/Artemis/releases/tag/v3.0.0

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@@ -1,160 +1,31 @@
<img src="documentation/ArtemisLogoSmall.png" align="right" /> <div align="center">
<img src="docs/assets/logo_large_black.svg" alt="Logo" width="400">
</div>
# ARTEMIS 3 ![LICENSE](https://img.shields.io/github/license/AresValley/Artemis.svg?style=flat-square) ![ISSUE](https://img.shields.io/github/issues/AresValley/Artemis.svg?style=flat-square) ![LANGUAGE](https://img.shields.io/github/languages/top/AresValley/Artemis.svg?style=flat-square) <div align="center">
*Radio Signals Recognition Manual* ![GitHub Release](https://img.shields.io/github/v/release/aresvalley/artemis)
![GitHub Release](https://img.shields.io/github/v/release/AresValley/Artemis-DB?label=DB%20version)
![GitHub repo file or directory count (in path)](https://img.shields.io/github/directory-file-count/aresvalley/artemis-db/static?type=dir&label=DB%20signals)
## ARTEMIS. In a nutshell. ![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/aresvalley/artemis/windows.yml?logo=data:image/svg%2bxml;base64,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)
![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/aresvalley/artemis/linux.yml?logo=linux&logoColor=white)
![Static Badge](https://img.shields.io/badge/build-soon%E2%84%A2-yellow?logo=apple)
![Static Badge](https://img.shields.io/badge/build-soon%E2%84%A2-yellow?logo=raspberrypi)
In short, ARTEMIS is a signals hunter software and a useful aid for radio listeners! The analysis of real-time spectra (from your SDR, for instance) is made simple: you can take advantage using one of the largest RF signal database (with over 370 records). Compare several signals properties (such as frequency, bandwidth, modulation, etc.) and verify what you are searching for through a waterfall/audio sample. A collection of filters allows you to narrow your search, making the identification of unknown signals, odd buzzes or weird noises way easier. </div>
## Table of contents **Artemis** is a software designed to assist **radio frequency (RF) signal identification and storage**. It simplifies real-time spectrum analysis by leveraging one of the most extensive and community-driven databases, containing over **500 recognized signals**. This comprehensive software solution allows users to collect RF signals with specific parameters such as frequency, bandwidth, modulation, etc. Users can also store spectrum waterfalls, audio samples, and all types of documents for future reference. Artemis provides a robust platform to manage a wide range of RF data with precision and ease.
- [Run the software](#Run-the-software) <div align="center">
- [Run from binary](#Run-from-binary) <img src="docs/assets/artemis_preview.webp">
- [Run from source code](#Run-from-source-code) </div>
- [Compile from source code](#Compile-from-source-code)
- [Database](#database)
- [Syntax](#syntax)
- [Multiple Items fields (Location, Modulation)](#multiple-items-fields-location-modulation)
- [Themes](#themes)
- [License](#license)
- [Thanks](#thanks)
## Run the software ## Documentation
To learn more about Artemis go to the [complete documentation](https://AresValley.github.io/Artemis).
Artemis 3 is entirely written in Python, so if you already have Python 3.7.0+ installed in your system, you can directly run the main script. Otherwise you can download a binary executable (see below). ## Contributors
* **Marco Dalla Tiezza** - *Artemis I-II-IV developer, DB parsing, Website*
### Run from binary
**If you don't know what you want or you are not sure where to look, this is for you.**
Basically, this is the easiest, smooth, and clean way to run Artemis 3. A Python installation is not required.
For more information, follow [the main page of Artemis 3](https://aresvalley.com/artemis/) (detailed documentation at the end of the main page).
**Requirements:**
- Windows 7/8/8.1/10
- Linux: Ubuntu 18.04+, Mint 19+, Fedora 28+ and many other. **You need at least version 2.27 of the GLIBC system library** ([details](https://github.com/AresValley/Artemis/tree/master/spec_files))
- macOS
### Run from source code
Run the software from the source code with the Python interpreter is the simplest and natural way to run Artemis 3.
**Requirements:**
- Python (ver. 3.7.0+)
- Python libraries (in `requirements/requirements.txt`)
1. Download and install Python (ver. 3.7.0+) from the official [website](https://www.python.org/downloads/). Be sure to select the flag `Add Python 3.x to PATH` during the first part of the installation.
2. Install the necessary Python libraries with PIP. Open a console in Artemis/requirements folder and type:
```
pip install -r requirements.txt --user
```
3. After that launch the software in the Artemis folder with:
```
python3 artemis.py
```
### Compile from source code
If you want to compile Artemis yourself from the source code follow the instructions in the [spec_files/README](spec_files/README.md) file.
## Database
The database (db.csv) is directly extracted from sigidwiki.com with a DB parser and reworked to a standard format defined as follow. Artemis DB is a human-readable csv file where the delimiter is the character `*` (Asterisk, Unicode: U+002A). The new entry (separation between signals) is the End Of Line (EOL) escape sequence `\n`. Every signal is directly connected to spectra and audio sample stored in **Spectra** and **Audio** folders, respectively. Every signal is composed of 12 columns:
| Column | Description | Unit of Measurement | Multiple Items | Type|
| :-: | :-: | :-: | :-: | :-: |
| 1 | Signal name | - | - | string |
| 2 | Freq. Lower Limit | Hz | - | integer |
| 3 | Freq. Upper Limit | Hz | - | integer |
| 4 | Mode | - | - | string |
| 5 | Band. Lower Limit | Hz | - | integer |
| 6 | Band. Upper Limit | Hz | - | integer |
| 7 | Location | - | ✔ | string |
| 8 | sigidwiki URL | - | - | string |
| 9 | Description | - | - | string |
| 10 | Modulation | - | ✔ | string |
| 11 | ID Code | - | - | integer |
| 12 | Auto-correlation function | ms | ✔ | string |
### Syntax
1. **Signal Name**: The name of the signal. A simple string that describes in short the analyzed signal. Special characters are allowed (except the main delimiter `*`).
2. **Frequency (Lower Limit)**: The frequency lower bound expressed in Hertz.
3. **Frequency (Upper Limit)**: The same as above but this express the frequency upper bound of the received signal.
* In the case of a single frequency transmitter/service the **Freq. Lower Limit** and the **Freq. Upper Limit** must be coincident (same value)
* Transmission with different protocols must be added in two or more distinct entry. **DO NOT USE** the same signal page to add different transmission protocols (with different frequencies, bandwidth, modes,...). For example, NOAA-19 satellite transimit images and data with two different protocols:
* APT (Analog): 137.1000 MHz - 137.3125 MHz
* HRPT (Digital): 1698 MHz - 1707 MHz
Add two separate entry (APT and HRPT) with the correct Lower and Upper bound frequency. **DO NOT ADD** a single signal entry with a Freq. Lower Bound of 137.100 MHz and the Upper Bound of 1707 MHz.
4. **Mode**: This field reports the way how a signals has been decoded during the reception.
5. **Bandwidth (Lower Limit)**: As reported above for frequency (points 2 and 3). Also here the value is reported in Hz.
6. **Bandwidth (Upper Limit)**: As reported above for frequency (points 2 and 3).
7. **Location**: This is the location where the signal is distributed/received. Avoid the usage of the precise location of the TX station or very small town (very rare). It's a good habit to use nations/continents or special location (worldwide).
8. **sigidiwki URL**: The sigidwiki URL of the selected signal. This is a direct connection to the online database where further details of the signal are collected.
9. **Description**: The short description is used to explain the purpose of the signal and some other useful details.
10. **Modulation**: The modulation is the way how the information have been encoded into the main signal (carrier). Several modification of the properties (Amplitude, Frequecy, ...) are possible and a tx station could transmit with different modulations.
11. **ID Code**: The category code, known as ID Code, is a sequence of 0/1 and its main purpose is to assign the signal to their families/categories. It's formed by 17 digits:
|1|2|3|4|5|6|7|8|9|10|
|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
| Military | Radar | Active | Inactive | HAM | Commercial | Aviation | Marine | Analogue | Digital|
|11|12|13|14|15|16|17|
|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
| Trunked | Utility | Sat | Navigation | Interfering | Number Stations | Time Signal |
12. **Auto-correlation funtion (ACF)**: The ACF is an awesome discriminator when the signal is composed of redundant pattern that continouosly repeats. Unfortunately, for this reason, ACF is not always available. The time value is reported in **ms** and, in some cases, could have multiple values for a single signal. An extended description with an example signal analysis is available here: https://aresvalley.com/documentation/
```
... ID Code * ACF1 Description - ACF1 Value (in ms) ; ACF2 Description - ACF2 Value (in ms) ; ...
```
**Example 1 (D-STAR):**
```
... ID Code * Superframe - 420 ; Frame - 20
```
**Example 2 (EDACS):**
```
... ID Code * edacs48 - 60 ; edacs96 - 30
```
**Special case:** variable ACFs are allowed and a brief explanation can be reported instead of ACF Value. A nice example is the * [SSTV](https://www.sigidwiki.com/wiki/Slow-Scan_Television_(SSTV) "SSTV") transmission where the ACF is directly related to the number of lines per minute.
### Multiple Items fields (Location, Modulation)
The necessity to manage a multiple Location/Modulation search pushed us to implement a fictitious 'secondary delimiter' chosen to be the `;` character. For instance:
```
... Band. Upper Limit * Location 1 ; Location 2 ; ... * sigidwiki URL ...
```
or
```
... Description * Modulation 1 ; Modulation 2 ; ... * ID Code ...
```
## Themes
The only folder with the pre-built package is the `themes` one. In this way the themes are fully customizable and you can add your own. New themes (in the `themes` folder) will appear automatically in the main menu and the last used theme will be saved as the favorite one (a restart of Artemis will use the last used theme).
Some of the available themes were adapted from https://github.com/GTRONICK/QSS.
## License
This program (ARTEMIS 3, 2014-2020) is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see: www.gnu.org/licenses
## Thanks
* **Marco Dalla Tiezza** - *Artemis I-II developer, DB parsing, Website*
* [**Alessandro Ceccato**](https://github.com/alessandro90 "GitHub profile") - *Artemis III lead developer* * [**Alessandro Ceccato**](https://github.com/alessandro90 "GitHub profile") - *Artemis III lead developer*
* **Paolo Romani (IZ1MLL)** - *Lead β Tester, RF specialist* * **Paolo Romani (IZ1MLL)** - *Lead β Tester, RF specialist*
* **Carl Colena** - *Sigidwiki admin, β Tester, Signals expert* * **Carl Colena** - *Sigidwiki admin, β Tester, Signals expert*
@@ -162,3 +33,6 @@ You should have received a copy of the GNU General Public License along with thi
* [**Eric Wiessner (KI7POL)**](https://github.com/WheezyE "GitHub profile") - *ARM port (Raspberry Pi3B+ and Pi4B)* * [**Eric Wiessner (KI7POL)**](https://github.com/WheezyE "GitHub profile") - *ARM port (Raspberry Pi3B+ and Pi4B)*
* [**Pierpaolo Pravatto**](https://github.com/ppravatto "GitHub profile") - *Wiki page, β Tester* * [**Pierpaolo Pravatto**](https://github.com/ppravatto "GitHub profile") - *Wiki page, β Tester*
* [**Francesco Capostagno**](https://github.com/fcapostagno "GitHub profile"), **Luca**, **Pietro** - *β Tester* * [**Francesco Capostagno**](https://github.com/fcapostagno "GitHub profile"), **Luca**, **Pietro** - *β Tester*
## License
Artemis is licensed under the [**GPL-3**](https://github.com/AresValley/Artemis/blob/master/LICENSE) license.

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import sys
from PySide6.QtCore import QCoreApplication
from PySide6.QtGui import QGuiApplication, QIcon
from artemis.utils.constants import Constants
from artemis.utils.ui_utils import set_ui
from artemis.ui.artemis import UIArtemis
def main():
set_ui()
QCoreApplication.setOrganizationName(Constants.ORGANIZATION_NAME)
QCoreApplication.setOrganizationDomain(Constants.ORGANIZATION_DOMAIN)
QCoreApplication.setApplicationName(Constants.APPLICATION_NAME)
app = QGuiApplication(sys.argv)
icon_file_path = (':/images/artemis_icon.ico')
app.setWindowIcon(QIcon(icon_file_path))
UIArtemis()
sys.exit(app.exec())
if __name__ == '__main__':
main()

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{
"folders": [
{
"path": "."
}
]
}

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import QmlProject
Project {
QmlFiles {
directory: "ui"
}
QmlFiles {
directory: "ui/components"
}
ImageFiles {
directory: "images"
}
Files {
directory: "config"
filter: "*.conf"
files: ["qtquickcontrols2.conf"]
}
Environment {
QT_QUICK_CONTROLS_CONF: "qtquickcontrols2.conf"
QT_AUTO_SCREEN_SCALE_FACTOR: "1"
QML_COMPAT_RESOLVE_URLS_ON_ASSIGNMENT: "1"
QT_LOGGING_RULES: "qt.qml.connections=false"
QT_ENABLE_HIGHDPI_SCALING: "0"
/* Useful for debugging
QSG_VISUALIZE=batches
QSG_VISUALIZE=clip
QSG_VISUALIZE=changes
QSG_VISUALIZE=overdraw
*/
}
qt6Project: true
qdsVersion: "4.5"
quickVersion: "6.7"
/* If any modules the project imports require widgets (e.g. QtCharts), widgetApp must be true */
widgetApp: true
multilanguageSupport: true
supportedLanguages: ["en"]
primaryLanguage: "en"
}

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<RCC>
<qresource prefix="/">
<file>images/artemis_icon.ico</file>
<file>images/artemis_icon.svg</file>
<file>images/icons/dialog_error.svg</file>
<file>images/icons/dialog_info.svg</file>
<file>images/icons/dialog_quest.svg</file>
<file>images/icons/dialog_warn.svg</file>
<file>images/icons/player_pause.svg</file>
<file>images/icons/player_play.svg</file>
<file>images/icons/player_stop.svg</file>
<file>images/icons/player_loop.svg</file>
<file>images/icons/save.svg</file>
<file>images/icons/delete.svg</file>
<file>images/icons/add.svg</file>
<file>images/icons/rename.svg</file>
<file>images/icons/load.svg</file>
<file>images/icons/open.svg</file>
<file>images/icons/browser.svg</file>
<file>images/icons/documents.svg</file>
<file>images/icons/abort.svg</file>
<file>images/icons/settings.svg</file>
<file>images/spectrum_not_available.svg</file>
<file>images/artemis_not_available.svg</file>
<file>ui/Artemis.qml</file>
<file>ui/DbManager.qml</file>
<file>ui/DialogMessage.qml</file>
<file>ui/Downloader.qml</file>
<file>ui/Preferences.qml</file>
<file>ui/SpaceWeather.qml</file>
<file>ui/DocumentsManager.qml</file>
<file>ui/SignalEditor.qml</file>
<file>ui/CategoryEditor.qml</file>
<file>ui/FilterPage.qml</file>
<file>ui/SignalPage.qml</file>
<file>ui/SpaceWeatherCurrentPage.qml</file>
<file>ui/SpaceWeatherForecastPage.qml</file>
<file>ui/SpaceWeatherDRAPPage.qml</file>
<file>ui/SpaceWeatherAuroraPage.qml</file>
<file>ui/SpaceWeatherSSA.qml</file>
<file>ui/SpaceWeatherSunImagers.qml</file>
<file>ui/About.qml</file>
<file>ui/components/KIndexLight.qml</file>
<file>ui/components/AIndexLight.qml</file>
<file>ui/components/AudioPlayer.qml</file>
<file>ui/components/BandBar.qml</file>
</qresource>
</RCC>

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import uuid
from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Slot, Signal
from artemis.utils.constants import Constants, Messages
from artemis.utils.sys_utils import open_directory, make_tar, unpack_tar
from artemis.utils.sql_utils import ArtemisDatabase, ArtemisSignal
from artemis.utils.update_utils import UpdateManager
from artemis.utils.generic_utils import generate_filter_query
from artemis.utils.path_utils import normalize_dialog_path
from artemis.utils.path_utils import DATA_DIR
from artemis.utils.config_utils import CONFIGURE_QT
from artemis.ui.preferences import UIPreferences
from artemis.ui.dbmanager import UIdbmanager
from artemis.ui.signaleditor import UIsignaleditor
from artemis.ui.downloader import UIDownloader
from artemis.ui.spaceweather import UIspaceweather
from artemis.ui.documentsmanager import UIdocumentsmanager
from artemis.ui.categoryeditor import UIcategoryeditor
import artemis.resources
class UIArtemis(QObject):
# Python > QML Signals
close_ui = Signal()
populate_sig_list = Signal(list)
populate_sig_details = Signal(list)
populate_filter_modulation = Signal(list)
clear_list = Signal()
clear_signal_page = Signal()
clear_filter_page = Signal()
lock_audio_player = Signal()
lock_menu = Signal(bool)
show_dialog_popup = Signal(str, str, str)
show_dialog_download_db = Signal(str, str, str)
show_dialog_update_artemis = Signal(str, str, str, bool)
update_info_bar = Signal(str, str)
def __init__(self):
super().__init__()
# Main UI initialization
self._engine = QQmlApplicationEngine()
self._engine.rootContext().setContextProperty('APPLICATION_VERSION', Constants.APPLICATION_VERSION)
self._engine.rootContext().setContextProperty('PYTHON_VERSION', Constants.PYTHON_VERSION)
self._engine.rootContext().setContextProperty('QT_VERSION', Constants.QT_VERSION)
self._engine.load('qrc:/ui/Artemis.qml')
self._window = self._engine.rootObjects()[0]
self._window_filter = self._window.findChild(QObject, "filterPageObj")
self._window_signal = self._window.findChild(QObject, "signalPageObj")
self.loaded_db = None
self._connect()
# Creating istances for other windows
self.preferences = UIPreferences(self)
self.dbmanager = UIdbmanager(self)
self.spaceweather = UIspaceweather(self)
self.docmanager = UIdocumentsmanager(self)
self.sigeditor = UIsignaleditor(self)
self.cateditor = UIcategoryeditor(self)
self.downloader = UIDownloader(self)
self.update_manager = UpdateManager(self)
self.autoload_db()
def _connect(self):
# QML > Python connections
self._window.showDBmanager.connect(self.show_dbmanager_ui)
self._window.loadSignal.connect(self.load_sig)
self._window.showPref.connect(self.show_pref_ui)
self._window.openSigEditor.connect(self.open_sig_editor)
self._window.checkForUpdate.connect(self.check_for_update)
self._window.updateDb.connect(self.update_db)
self._window.updateArtemis.connect(self.update_artemis)
self._window.showSpaceWeather.connect(self.show_space_weather_ui)
self._window.openDbDirectory.connect(self.open_db_directory)
self._window.showCatManager.connect(self.open_cat_manager)
self._window.newDb.connect(self.new_db)
self._window.exportDb.connect(self.export_db)
self._window.importDb.connect(self.import_db)
self._window_filter.applyFilter.connect(self.apply_filter)
self._window_filter.sendBottomAlert.connect(self.bottom_info_bar)
self._window_signal.openDocManager.connect(self.show_documentsmanager_ui)
self._window_signal.openSigEditor.connect(self.open_sig_editor)
self._window_signal.deleteCatTag.connect(self.delete_cat_tag)
self._window_signal.addCatTag.connect(self.add_cat_tag)
# Python > QML connections
self.close_ui.connect(self._window.close)
self.populate_sig_list.connect(self._window.populateList)
self.clear_list.connect(self._window.clearList)
self.update_info_bar.connect(self._window.bottomInfoBar)
self.show_dialog_popup.connect(self._window.openGeneralDialog)
self.show_dialog_download_db.connect(self._window.openDialogDownloadDb)
self.show_dialog_update_artemis.connect(self._window.openDialogUpdateArtemis)
self.lock_menu.connect(self._window.lockMenu)
self.populate_sig_details.connect(self._window_signal.populateSignalParam)
self.lock_audio_player.connect(self._window_signal.lockPlayer)
self.clear_signal_page.connect(self._window_signal.resetAll)
self.clear_filter_page.connect(self._window_filter.resetAll)
self.populate_filter_modulation.connect(self._window_filter.loadLists)
def load_db(self, db_dir_name):
""" Load the DB and populate the signals list
Args:
db_dir_name (str): folder name in the data folder
"""
# Loading DB
self.loaded_db = ArtemisDatabase(db_dir_name)
self.loaded_db.load()
# Clearing UI
self.lock_menu.emit(False)
self.clear_signal_page.emit()
self.clear_filter_page.emit()
# Populating UI
self.load_filter_lists()
self.populate_sig_list.emit(self.loaded_db.all_signals)
# Updating status bar
total_signals = len(self.loaded_db.all_signals)
self.bottom_info_bar("Database loaded with {} signals".format(total_signals), "info")
@Slot(int)
def load_sig(self, sig_id):
""" Load the selected signal and populate the SignalPage
Args:
sig_id (int): SIG_ID of the signal to be loaded
"""
self.loaded_sig = ArtemisSignal(self.loaded_db)
self.loaded_sig.load(sig_id)
sig_dic = self.loaded_sig.generate_dic()
self.populate_sig_details.emit([sig_dic])
def load_filter_lists(self):
""" Populates the 3 listviews in the FilterPage
"""
self.populate_filter_modulation.emit([{
'modulation': self.loaded_db.all_modulation,
'location': self.loaded_db.all_location,
'category': self.loaded_db.all_category_labels
}])
@Slot(dict)
def apply_filter(self, filter_status):
""" Update the signal list according to the selected filters in the FilterPage.
Args:
filter_status (dic): dictionary containing the active filters with all
the details to generate a search query
"""
filter_status = filter_status.toVariant()
if self.loaded_db is not None:
if filter_status != {}:
filter_query = generate_filter_query(filter_status)
self.loaded_db.select_by_filter(filter_query)
self.clear_signal_page.emit()
self.populate_sig_list.emit(self.loaded_db.all_signals)
total_signals = len(self.loaded_db.all_signals)
self.bottom_info_bar("FILTERS ACTIVE: {} signals found".format(total_signals), "warning")
else:
self.load_db(self.loaded_db.db_dir_name)
def show_pref_ui(self):
""" Load the preference windows
"""
self.preferences.load_preferences_ui()
def show_dbmanager_ui(self):
""" Load the DB manager windows
"""
self.dbmanager.load_dbmanager_ui()
@Slot(str, list, bool)
def open_sig_editor(self, type, sig_param, is_new):
""" Open the signal editor windows
Called when the user want to add, edit or delete the signal or its parametes.
"""
self.sigeditor.load_signaleditor_ui(type, sig_param, is_new)
def show_space_weather_ui(self):
""" Open the space weather windows
"""
self.spaceweather.load_spaceweather_ui()
def show_documentsmanager_ui(self):
""" Open the documents manager windows
"""
self.docmanager.load_documentsmanager_ui()
def check_for_update(self):
""" User manual check for updates updates
"""
self.update_manager.check_updates(True)
def dialog_download_db(self, message_type, title, message):
""" Dialog popup for DB download confirmation
"""
self.show_dialog_download_db.emit(message_type, title, message)
def dialog_update_artemis(self, message_type, title, message, auto=False):
""" Dialog popup for Artemis download confirmation
"""
self.show_dialog_update_artemis.emit(message_type, title, message, auto)
@Slot()
def update_db(self):
""" Start the download of the sigID DB
"""
self.update_manager.download_db()
@Slot()
def update_artemis(self):
""" Start the download of Artemis
"""
self.update_manager.download_artemis()
def open_db_directory(self):
""" Open the local folder of the loaded DB
"""
open_directory(self.loaded_db.db_dir)
@Slot(str)
def new_db(self, name):
""" Create a new local DB
Args:
name (str): name of the new DB, hardcoded in sql info table
"""
try:
new_db = ArtemisDatabase(str(uuid.uuid4()))
new_db.create(name)
self.load_db(new_db.db_dir_name)
self.dialog_popup(
Messages.DIALOG_TYPE_INFO,
Messages.GENERIC_SUCCESS,
Messages.DB_CREATION_SUCCESS_MSG
)
except Exception as e:
self.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.GENERIC_ERROR,
Messages.GENERIC_ERROR_MSG.format(e)
)
@Slot(str)
def export_db(self, save_path):
""" Export the load DB in a tar file. Does not use compression
Args:
save_path (str): destination path of the generated .tar file
"""
try:
dest_path = normalize_dialog_path(save_path)
make_tar(dest_path, self.loaded_db.db_dir)
self.dialog_popup(
Messages.DIALOG_TYPE_INFO,
Messages.GENERIC_SUCCESS,
Messages.EXPORTING_SUCCESS_MSG
)
except Exception as e:
self.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.GENERIC_ERROR,
Messages.GENERIC_ERROR_MSG.format(e)
)
@Slot(str)
def import_db(self, tar_path):
""" Import a new DB in the Artemis data folder
Args:
tar_path (str): Path of the archive to be imported
"""
try:
origin_path = normalize_dialog_path(tar_path)
save_path = DATA_DIR / str(uuid.uuid4())
unpack_tar(origin_path, save_path)
self.dialog_popup(
Messages.DIALOG_TYPE_INFO,
Messages.GENERIC_SUCCESS,
Messages.IMPORTING_SUCCESS_MSG
)
except Exception as e:
self.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.GENERIC_ERROR,
Messages.GENERIC_ERROR_MSG.format(e)
)
@Slot(int)
def add_cat_tag(self, clb_id):
self.loaded_sig.insert_category(clb_id)
self.load_db(self.loaded_db.db_dir_name)
@Slot(int)
def delete_cat_tag(self, cat_id):
self.loaded_sig.delete_category(cat_id)
self.load_db(self.loaded_db.db_dir_name)
def open_cat_manager(self):
""" Open the category manager windows
"""
self.cateditor.load_cateditor_ui()
def autoload_db(self):
""" This will autoload the latest local sigID DB, if present
according to the user settings
"""
sig_id_db = self.dbmanager.get_latest_local_sigid_db()
autoload = CONFIGURE_QT.value("Database", "autoload", 0)
if sig_id_db is not None and int(autoload):
self.load_db(sig_id_db.db_dir_name)
def dialog_popup(self, message_type, title, message):
""" Opens a general dialog popup
Args:
message_type (str): 'info', 'question', 'warn', 'error'
title (str): header of the dialoog
message (sstr): description inside the dialog
"""
self.show_dialog_popup.emit(message_type, title, message)
@Slot(str, str)
def bottom_info_bar(self, message, message_type):
""" Manage the footer info bar
Args:
message (str): text to be shown in the info bar
message_type (str): 'info', 'warning'
"""
self.update_info_bar.emit(message, message_type)

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from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Signal, Slot
from artemis.utils.path_utils import *
from artemis.utils.generic_utils import *
class UIcategoryeditor(QObject):
# Python > QML Signals
show_ui = Signal()
load = Signal(list)
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/CategoryEditor.qml')
self._window = self._engine.rootObjects()[0]
self._connect()
def _connect(self):
# QML > Python connections
self._window.saveParam.connect(self.save)
self._window.deleteParam.connect(self.delete)
# Python > QML connections
self.show_ui.connect(self._window.show)
self.load.connect(self._window.loadList)
def load_cateditor_ui(self):
""" Load the list with existing category tags and show the UI
"""
all_cat = self._parent.loaded_db.all_category_labels
self.load.emit(all_cat)
self.show_ui.emit()
@Slot(list, bool)
def save(self, data, is_new):
""" Save new category tag or update the existing ones.
"""
data = data.toVariant()
if is_new:
self._parent.loaded_db.insert_category_label(data[0])
else:
self._parent.loaded_db.update_category_label(data[1], data[0])
self._parent.load_db(self._parent.loaded_db.db_dir_name)
self.load_cateditor_ui()
@Slot(int)
def delete(self, clb_id):
""" Delete a database category tag.
All the entries in the documents table are automatically beign deleted due to
foreign-key cascade propagation
"""
self._parent.loaded_db.delete_category_label(clb_id)
self._parent.load_db(self._parent.loaded_db.db_dir_name)
self.load_cateditor_ui()

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import os
from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Signal, Slot
from artemis.utils.path_utils import DATA_DIR
from artemis.utils.generic_utils import *
from artemis.utils.sql_utils import ArtemisDatabase
from artemis.utils.sys_utils import delete_dir
class UIdbmanager(QObject):
# Python > QML Signals
show_ui = Signal()
close_ui = Signal()
populate_db_list = Signal(list)
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/DbManager.qml')
self._window = self._engine.rootObjects()[0]
self._connect()
def _connect(self):
# QML > Python connections
self._window.loadDB.connect(self.load_db)
self._window.deleteDB.connect(self.delete_db)
self._window.renameDB.connect(self.rename_db)
# Python > QML connections
self.show_ui.connect(self._window.show)
self.close_ui.connect(self._window.close)
self.populate_db_list.connect(self._window.loadList)
def load_dbmanager_ui(self):
self.load_local_db_list()
self.show_ui.emit()
def load_local_db_list(self):
""" Scan for all the valid DBs in the data folder and show them on the list
"""
db_param = []
valid_db_list = self.scan_db_dir()
for db in valid_db_list:
db_param.append(
{
'name': db.name,
'version': db.version,
'date': parse_date(db.date),
'db_dir_name': db.db_dir_name,
'documents_n': db.stats['documents'],
'signals_n': db.stats['signals'],
'images_n': db.stats['images'],
'audio_n': db.stats['audio']
}
)
self.populate_db_list.emit(db_param)
def load_db(self, db_dir_name):
""" Load the selected DB (from the DB Manager list) in the main artemis window
"""
self._parent.load_db(db_dir_name)
self.close_ui.emit()
@Slot(str)
def delete_db(self, db_dir_name):
""" Delete the DB folder.
Clear the main UI if the database to be deleted is the selected one
"""
if self._parent.loaded_db is not None:
if self._parent.loaded_db.db_dir_name == db_dir_name:
self._parent.lock_menu.emit(True)
self._parent.clear_list.emit()
self._parent.clear_signal_page.emit()
delete_dir(DATA_DIR / db_dir_name)
self.load_local_db_list()
@Slot(str, str)
def rename_db(self, db_dir_name, new_name):
""" Rename db in the data folder
"""
database = ArtemisDatabase(db_dir_name)
database.rename(new_name)
self.load_local_db_list()
def scan_db_dir(self):
""" Scans the data directory for valid databases and
return a dictionary containing only the valid ones.
Returns a list of objects (dbs)
"""
valid_db_list = []
db_dirs = next(os.walk(DATA_DIR))[1]
for db_dir_name in db_dirs:
try:
database = ArtemisDatabase(db_dir_name)
database.load()
valid_db_list.append(database)
except:
continue
return valid_db_list
def get_latest_local_sigid_db(self):
""" Return the newest valid local sigID database.
Returns None if no valid sigID database is found.
"""
valid_dbs = self._parent.dbmanager.scan_db_dir()
sig_id_dbs = [db for db in valid_dbs if db.editable == -1]
if len(sig_id_dbs) != 0:
sig_id_latest = max(sig_id_dbs, key=lambda x: x.version)
return sig_id_latest
else:
return None

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from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Signal, Slot
from artemis.utils.path_utils import *
from artemis.utils.generic_utils import *
from artemis.utils.sys_utils import *
class UIdocumentsmanager(QObject):
# Python > QML Signals
show_ui = Signal()
close_ui = Signal()
populate_documents_list = Signal(list)
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/DocumentsManager.qml')
self._window = self._engine.rootObjects()[0]
self._connect()
def _connect(self):
# QML > Python connections
self._window.saveNewDoc.connect(self.save_new_doc)
self._window.deleteDoc.connect(self.delete_doc)
self._window.updateDoc.connect(self.update_doc)
self._window.openDoc.connect(self.open_doc)
# Python > QML connections
self.show_ui.connect(self._window.show)
self.close_ui.connect(self._window.close)
self.populate_documents_list.connect(self._window.loadList)
def load_documentsmanager_ui(self):
self.load_documents_list()
self.show_ui.emit()
def load_documents_list(self):
""" Load the documents of the selected signal and populate the documents list
"""
self._parent.loaded_sig.select_documents()
all_documents = self._parent.loaded_sig.documents
keys = (
'doc_id',
'extension',
'name',
'description',
'type',
'preview'
)
doc_lst = [dict(zip(keys, values)) for values in all_documents]
self.populate_documents_list.emit(doc_lst)
@Slot(list)
def save_new_doc(self, doc_lst):
""" Save the new document (identified by the DOC_ID = -1) and reload the document list.
doc_param contains all the details of the new documents.
"""
doc_param = doc_lst.toVariant()
file_extension = os.path.splitext(doc_param[0])[1][1:]
doc_id = self._parent.loaded_sig.insert_document([
-1,
file_extension,
doc_param[1],
doc_param[2],
doc_param[3],
0
])
local_file_name = '{}.{}'.format(str(doc_id), file_extension)
origin_path = normalize_dialog_path(doc_param[0])
copy_file(origin_path, self._parent.loaded_db.media_dir / local_file_name)
self.load_documents_list()
@Slot(list)
def update_doc(self, doc_lst):
""" Update the details of the existent document
"""
doc_list = doc_lst.toVariant()
for doc in doc_list:
self._parent.loaded_sig.update_documents(doc[0], doc[1], doc[2], doc[3], doc[4])
self.load_documents_list()
@Slot(str, str)
def open_doc(self, doc_id, extension):
""" Open the selected document with the proper system application (if any)
"""
try:
open_file(self._parent.loaded_db.media_dir / '{}.{}'.format(doc_id, extension))
except Exception as e:
self.close_ui.emit()
self._parent.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.GENERIC_ERROR,
str(e)
)
@Slot(str, str, str, bool)
def delete_doc(self, doc_id, doc_extension, doc_type, doc_preview):
""" Delete the selected document
"""
doc_file_name = '{}.{}'.format(doc_id, doc_extension)
doc_file_path = self._parent.loaded_db.media_dir / doc_file_name
self._parent.loaded_sig.delete_document(doc_id)
if doc_preview:
if doc_type == 'Audio':
self._parent.lock_audio_player.emit()
delete_file(doc_file_path)
self.load_documents_list()

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import requests
from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Slot, Signal, QUrl, QSaveFile, QDir, QIODevice
from PySide6.QtNetwork import QNetworkReply, QNetworkRequest, QNetworkAccessManager
from artemis.utils.constants import Messages
class UIDownloader(QObject):
# Python > QML Signals
show_ui = Signal()
close_ui = Signal()
update_progress_bar = Signal(int, int)
set_indeterminate_bar = Signal()
update_status = Signal(str)
finished = Signal()
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/Downloader.qml')
self._window = self._engine.rootObjects()[0]
self.file_url = None
self.file_size = None
self.dest_file = None
self.file = None
self.manager = None
self.reply = None
self._connect()
def _connect(self):
# QML > Python connections
self._window.onAbort.connect(self.on_abort)
# Python > QML connections
self.show_ui.connect(self._window.show)
self.close_ui.connect(self._window.close)
self.update_progress_bar.connect(self._window.updateProgressBar)
self.set_indeterminate_bar.connect(self._window.setIndeterminateBar)
self.update_status.connect(self._window.updateStatus)
def on_start(self, url, save_path):
""" Start the download process using the specified URL
Args:
url (str): url from where download the file
save_path (str): path where to save the downloaded file
"""
self._clear_ui()
self.show_ui.emit()
self.file_url = QUrl(url)
self.file_size = self._get_filesize(url)
dest_path = QDir(save_path)
self.dest_file = dest_path.filePath(self.file_url.fileName())
self.file = QSaveFile(self.dest_file)
if self.file.open(QIODevice.WriteOnly):
# Start a GET HTTP request
self.manager = QNetworkAccessManager(self)
self.reply = self.manager.get(QNetworkRequest(self.file_url))
self.reply.downloadProgress.connect(self.on_progress)
self.reply.finished.connect(self.on_finished)
self.reply.readyRead.connect(self.on_ready_read)
self.reply.errorOccurred.connect(self.on_error)
else:
self.close_ui.emit()
self.show_popup_error(self.file.errorString())
@Slot()
def on_abort(self):
""" Stop the download when user presses the abort button
"""
if self.reply:
self.reply.abort()
if self.file:
self.file.cancelWriting()
@Slot()
def on_ready_read(self):
""" Write available bytes to the file
"""
if self.reply:
if self.reply.error() == QNetworkReply.NoError:
self.file.write(self.reply.readAll())
@Slot()
def on_finished(self):
""" Finalize the download process and, if no errors
occurs, emits the finished signal usefull for
a callback
"""
if self.reply:
self.reply.deleteLater()
if self.file:
self.file.commit()
if self.reply.error() == QNetworkReply.NoError:
self.finished.emit()
self.close_ui.emit()
@Slot(int, int)
def on_progress(self, bytesReceived: int):
""" Update progress bar and status label
"""
if self.file_size is not None:
self.update_status.emit("{:.1f} Mb / {:.1f} Mb".format(bytesReceived/10**6, self.file_size/10**6))
self.update_progress_bar.emit(bytesReceived, self.file_size)
else:
self.update_status.emit("{:.1f} Mb".format(bytesReceived/10**6))
@Slot(QNetworkReply.NetworkError)
def on_error(self, code: QNetworkReply.NetworkError):
""" Show a message if an error happen during download
"""
if self.reply:
self.close_ui.emit()
self.show_popup_error(
self.reply.errorString()
)
def _get_filesize(self, url):
""" Get the file size by sending a HEAD request to the URL.
If the Content-Length in HTTP headers is missing, returns None
and set the progress_bar as 'indeterminate' like a 'busy indicator'
Args:
url (str): URL to check the file size
"""
try:
response = requests.get(url, stream=True)
size = int(response.headers.get('content-length'))
return size
except:
self.set_indeterminate_bar.emit()
return None
def _clear_ui(self):
self.update_progress_bar.emit(0, 0)
self.update_status.emit('')
def show_popup_error(self, error_msg):
self._parent.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.GENERIC_ERROR,
Messages.GENERIC_ERROR_MSG.format(error_msg)
)

67
artemis/ui/preferences.py Normal file
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from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Slot, Signal
from artemis.utils.config_utils import *
class UIPreferences(QObject):
# Python > QML Signals
show_ui = Signal()
load_material_accent = Signal(str)
load_material_theme = Signal(str)
load_autoload = Signal(int)
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/Preferences.qml')
self._window = self._engine.rootObjects()[0]
self._connect()
def _connect(self):
# QML > Python connections
self._window.saveMaterialAccent.connect(self.save_material_accent)
self._window.saveMaterialTheme.connect(self.save_material_theme)
self._window.saveAutoload.connect(self.save_autoload)
# Python > QML connections
self.show_ui.connect(self._window.show)
self.load_material_accent.connect(self._window.loadMaterialAccent)
self.load_material_theme.connect(self._window.loadMaterialTheme)
self.load_autoload.connect(self._window.loadAutoload)
def load_preferences_ui(self):
""" Loading all the initial preferences from the conf file to the UI
"""
self.load_material_accent.emit(CONFIGURE_QT.value("Material", "Accent", "Green"))
self.load_material_theme.emit(CONFIGURE_QT.value("Material", "Theme", "System"))
self.load_autoload.emit(int(CONFIGURE_QT.value("Database", "autoload", 0)))
self.show_ui.emit()
@Slot(str)
def save_material_accent(self, material_accent):
""" Saving material accent setting
"""
CONFIGURE_QT.set("Material", "Accent", material_accent)
@Slot(str)
def save_material_theme(self, material_theme):
""" Saving material theme setting
"""
CONFIGURE_QT.set("Material", "Theme", material_theme)
@Slot(int)
def save_autoload(self, autoload):
""" Saving autoload setting
"""
CONFIGURE_QT.set("Database", "autoload", str(autoload))

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artemis/ui/signaleditor.py Normal file
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from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Signal, Slot
from artemis.utils.path_utils import *
from artemis.utils.generic_utils import *
from artemis.utils.sql_utils import ArtemisSignal
from artemis.utils.sys_utils import delete_file
class UIsignaleditor(QObject):
# Python > QML Signals
show_ui = Signal()
load = Signal(str, list, bool)
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/SignalEditor.qml')
self._window = self._engine.rootObjects()[0]
self._connect()
def _connect(self):
# QML > Python connections
self._window.saveParam.connect(self.save)
self._window.deleteParam.connect(self.delete)
# Python > QML connections
self.show_ui.connect(self._window.show)
self.load.connect(self._window.load)
def load_signaleditor_ui(self, param_type, sig_param, is_new):
""" Load all the details of the selected signal
Args:
param_type (str): Signal, Frequency, Bandwidth, Modulation, Mode,
ACF, Location
sig_param (list): a list formed as [id, value, description]
is_new (bool): If true, the windows open in an empty state ready to
be compiled by the user. If false, the windows will open all the
current parameter for the loaded signal, for editing or deleting purposes.
"""
if param_type == 'Signal' and not is_new:
sig_param = [
self._parent.loaded_sig.sig_id,
self._parent.loaded_sig.name,
self._parent.loaded_sig.description
]
self.load.emit(param_type, sig_param, is_new)
self.show_ui.emit()
@Slot(str, list, bool)
def save(self, param_type, data, is_new):
""" Save new signal parameters or update the existing ones.
"""
data = data.toVariant()
if is_new:
if param_type == 'Signal':
self._parent.loaded_sig = ArtemisSignal(self._parent.loaded_db)
self._parent.loaded_sig.insert_signal(data[1], data[2])
elif param_type == 'Frequency':
self._parent.loaded_sig.insert_frequency(int(data[1]), data[2])
elif param_type == 'Bandwidth':
self._parent.loaded_sig.insert_bandwidth(int(data[1]), data[2])
elif param_type == 'Modulation':
self._parent.loaded_sig.insert_modulation(data[1], data[2])
elif param_type == 'Mode':
self._parent.loaded_sig.insert_mode(data[1], data[2])
elif param_type == 'ACF':
self._parent.loaded_sig.insert_acf(data[1], data[2])
elif param_type == 'Location':
self._parent.loaded_sig.insert_location(data[1], data[2])
else:
if param_type == 'Signal':
self._parent.loaded_sig.update_signal(data[0], data[1], data[2])
elif param_type == 'Frequency':
self._parent.loaded_sig.update_frequency(data[0], int(data[1]), data[2])
elif param_type == 'Bandwidth':
self._parent.loaded_sig.update_bandwidth(data[0], int(data[1]), data[2])
elif param_type == 'Modulation':
self._parent.loaded_sig.update_modulation(data[0], data[1], data[2])
elif param_type == 'Mode':
self._parent.loaded_sig.update_mode(data[0], data[1], data[2])
elif param_type == 'ACF':
self._parent.loaded_sig.update_acf(data[0], data[1], data[2])
elif param_type == 'Location':
self._parent.loaded_sig.update_location(data[0], data[1], data[2])
self._parent.load_db(self._parent.loaded_db.db_dir_name)
@Slot(str, int)
def delete(self, param_type, id):
""" Delete a signal parameter or the signal itself (with all the parameters and documents).
All the entries in the documents table are automatically beign deleted due to
foreign-key cascade propagation
"""
if param_type == 'Signal':
self._parent.loaded_sig.delete_signal()
self._parent.lock_audio_player.emit()
for doc in self._parent.loaded_sig.documents:
doc_file_name = '{}.{}'.format(str(doc[0]), doc[1])
doc_file_path = self._parent.loaded_db.media_dir / doc_file_name
delete_file(doc_file_path)
elif param_type == 'Frequency':
self._parent.loaded_sig.delete_frequency(id)
elif param_type == 'Bandwidth':
self._parent.loaded_sig.delete_bandwidth(id)
elif param_type == 'Modulation':
self._parent.loaded_sig.delete_modulation(id)
elif param_type == 'Mode':
self._parent.loaded_sig.delete_mode(id)
elif param_type == 'ACF':
self._parent.loaded_sig.delete_acf(id)
elif param_type == 'Location':
self._parent.loaded_sig.delete_location(id)
self._parent.load_db(self._parent.loaded_db.db_dir_name)

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from PySide6.QtQml import QQmlApplicationEngine
from PySide6.QtCore import QObject, Signal
from artemis.utils.path_utils import *
from artemis.utils.generic_utils import *
from artemis.utils.constants import Constants
class UIspaceweather(QObject):
# Python > QML Signals
show_ui = Signal()
load_poseidon_report = Signal(dict)
load_poseidon_forecast_report = Signal(dict)
load_poseidon_drap_report = Signal(dict)
load_poseidon_SSA_report = Signal(dict)
load_poseidon_sun_images_report = Signal(dict)
load_aurora_report = Signal()
update_bottom_bar = Signal(str)
def __init__(self, parent):
super().__init__()
self._parent = parent
self._engine = QQmlApplicationEngine()
self._engine.load('qrc:/ui/SpaceWeather.qml')
self._window = self._engine.rootObjects()[0]
self._window_current = self._window.findChild(QObject, "spaceWeatherCurrentObj")
self._window_forecast = self._window.findChild(QObject, "spaceWeatherForecastObj")
self._window_drap = self._window.findChild(QObject, "spaceWeatherDRAPObj")
self._window_aurora = self._window.findChild(QObject, "spaceWeatherAuroraObj")
self._window_SSA = self._window.findChild(QObject, "spaceWeatherSSA")
self._window_sun_images = self._window.findChild(QObject, "spaceWeatherSunImagers")
self._connect()
def _connect(self):
# QML > Python connections
# Python > QML connections
self.show_ui.connect(self._window.show)
self.update_bottom_bar.connect(self._window.updateBottomBar)
self.load_poseidon_report.connect(self._window_current.loadReport)
self.load_poseidon_forecast_report.connect(self._window_forecast.loadForecastReport)
self.load_poseidon_drap_report.connect(self._window_drap.loadDrapReport)
self.load_poseidon_SSA_report.connect(self._window_SSA.loadDrapReport)
self.load_poseidon_sun_images_report.connect(self._window_sun_images.loadDrapReport)
self.load_aurora_report.connect(self._window_aurora.loadAuroraReport)
def load_spaceweather_ui(self):
""" Before opening the windows, poseidon report (data.json) is read online
"""
self.download_poseidon_report()
def download_poseidon_report(self):
update_manager = self._parent.update_manager
poseidon_data = update_manager.fetch_remote_json(
Constants.POSEIDON_REPORT_URL,
True
)
if poseidon_data:
self.load_poseidon_report.emit(poseidon_data)
self.load_poseidon_forecast_report.emit(poseidon_data)
self.load_poseidon_drap_report.emit(poseidon_data)
self.load_poseidon_sun_images_report.emit(poseidon_data)
self.load_poseidon_SSA_report.emit(poseidon_data)
self.load_aurora_report.emit()
self.update_bottom_bar.emit(
'Loaded Poseidon report issued on {} at {} UTC'.format(
poseidon_data['JSON_INFO']['utc_date'],
poseidon_data['JSON_INFO']['utc_time']
)
)
self.show_ui.emit()

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from configparser import ConfigParser
from artemis.utils.path_utils import PREFERENCES_DIR, BASE_DIR
from artemis.utils.sys_utils import copy_file
class Config(ConfigParser):
""" Custom configuration class derived from ConfigParser.
Used to get value, set, save and remove any configuration from the conf file
"""
def __init__(self, config_file_path, space_around_delimiters=False):
super().__init__()
self._config_file_path = config_file_path
self.read(self._config_file_path)
self._space_around_delimiters = space_around_delimiters
def value(self, section, option, default_value):
value = super().get(section, option, fallback=default_value)
return value
def set(self, section, option, value=None):
if not self.has_section(section):
self.add_section(section)
super().set(section, option, value)
self.save()
def remove(self, section, option):
super().remove_option(section, option)
self.save()
def save(self):
with open(self._config_file_path, 'w') as f:
self.write(f, space_around_delimiters=self._space_around_delimiters)
def merge_config_files(old_config_path, template_config_path):
""" Merge two configuration files: if the old one lacks some
sections or options from a comparison with a template,
this function will add what is missing to the old conf file
"""
old_config = ConfigParser()
old_config.read(old_config_path)
new_config = ConfigParser()
new_config.read(template_config_path)
for section in new_config.sections():
if not old_config.has_section(section):
old_config.add_section(section)
for option in new_config.options(section):
if not old_config.has_option(section, option):
old_config.set(section, option, new_config.get(section, option))
with open(old_config_path, 'w') as f:
old_config.write(f)
def check_conf_file():
""" Check the integrity of the used conf file.
If it is not present it will add a copy to the PREF_DIR
and if it is different in structure (different section/options)
it will merge the conf file with the new template one
"""
active_conf = (PREFERENCES_DIR / 'qtquickcontrols2.conf').resolve()
template_conf = (BASE_DIR / 'config' / 'qtquickcontrols2.conf').resolve()
if not active_conf.exists():
copy_file(template_conf, active_conf)
else:
merge_config_files(active_conf, template_conf)
check_conf_file()
CONFIGURE_QT = Config((PREFERENCES_DIR / 'qtquickcontrols2.conf').resolve().as_posix())

493
artemis/utils/constants.py Normal file
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import locale
import sys
from PySide6.QtCore import qVersion
class Constants():
""" Container class for several constants of the software """
APPLICATION_NAME = 'Artemis'
ORGANIZATION_NAME = 'AresValley'
ORGANIZATION_DOMAIN = 'aresvalley.com'
APPLICATION_VERSION = '4.1.0'
SQL_NAME = 'data.sqlite'
LATEST_VERSION_URL = 'https://raw.githubusercontent.com/AresValley/Artemis/master/config/release-info.json'
POSEIDON_REPORT_URL = 'https://www.aresvalley.com/poseidon_engine/data.json'
DEFAULT_ENCODING = 'utf-8'
SYSTEM_LANGUAGE = 'en_US' # locale.getdefaultlocale()[0]
PYTHON_VERSION = '.'.join(str(v) for v in sys.version_info[:3])
QT_VERSION = qVersion()
class Messages:
""" Container class for messages to be displayed """
# Type
DIALOG_TYPE_INFO = 'info'
DIALOG_TYPE_QUEST = 'question'
DIALOG_TYPE_WARN = 'warn'
DIALOG_TYPE_ERROR = 'error'
# Titles
GENERIC_SUCCESS = "Success!"
GENERIC_ERROR = "Something went wrong!"
NO_DB_DETECTED = "No SigID database detected..."
NO_CONNECTION = "Connection Error!"
UP_TO_DATE = "You're up to date!"
DB_NEW_VER = "New SigID DB version available!"
ART_NEW_VER = "New Artemis version available!"
DB_CORRUPTED = "Database Corruption Detected"
# Messages
DB_CREATION_SUCCESS_MSG = "The new database has been created succesfully."
GENERIC_ERROR_MSG = "An error occurred during the process. Details: {}"
IMPORTING_SUCCESS_MSG = "Database importing has been succesfully completed!"
EXPORTING_SUCCESS_MSG = "Database exporting has been succesfully completed!"
FILE_NOT_FOUND_ERR_MSG = "The file you are trying to access cannot be located. This may be because the file has been moved or deleted."
NO_DB_DETECTED_MSG = "Do you want to download it now?"
NO_CONNECTION_MSG = "Unable to check for updates. It appears that there is a problem with your internet connection. Please check your network settings and try again later. {}"
UP_TO_DATE_MSG = "The latest version of Artemis and SigID wiki is installed on your computer."
DB_NEW_VER_MSG = "A new version of the database ({}) is available for download. Download now?"
ART_NEW_VER_MANUAL_MSG = "A new version of Artemis ({}) is available for download. Check GitHub page now?"
ART_NEW_VER_AUTO_MSG = "A new version of Artemis ({}) is available for download. Update Artemis now?"
DB_CORRUPTED_MSG = "Downloaded data corrupted or invalid. Please retry."
DB_DOWNLOAD_SUCCESS_MSG = "The database has been successfully downloaded and is now being loaded."
class Query():
""" Container class for all the sqlite queries """
############################## SELECT
SELECT_ALL_SIGNALS = "SELECT SIG_ID, NAME, DESCRIPTION FROM signals ORDER BY NAME ASC"
SELECT_ALL_MODULATION = "SELECT DISTINCT VALUE FROM modulation ORDER BY VALUE ASC"
SELECT_ALL_LOCATION = "SELECT DISTINCT VALUE FROM location ORDER BY VALUE ASC"
SELECT_SIG_ID = "SELECT SIG_ID, NAME, DESCRIPTION FROM signals WHERE SIG_ID IN ({}) ORDER BY NAME ASC"
SELECT_ALL_CAT_LABELS = "SELECT CLB_ID, VALUE FROM category_label ORDER BY VALUE ASC"
SELECT_INFO = """
SELECT
NAME,
DATE,
VERSION,
EDITABLE
FROM info
"""
SELECT_SIGNAL = """
SELECT
NAME,
DESCRIPTION,
URL
FROM signals WHERE SIG_ID = ?
"""
SELECT_CATEGORY = """
SELECT
category.CAT_ID,
category_label.VALUE
FROM category
INNER JOIN category_label ON category.CLB_ID = category_label.CLB_ID
WHERE SIG_ID = ?
"""
SELECT_DOCUMENTS = """
SELECT
DOC_ID,
EXTENSION,
NAME,
DESCRIPTION,
TYPE,
PREVIEW
FROM documents WHERE SIG_ID = ?
ORDER BY TYPE ASC
"""
SELECT_FREQUENCY = """
SELECT
FREQ_ID,
VALUE,
DESCRIPTION
FROM frequency WHERE SIG_ID = ?
"""
SELECT_BANDWIDTH = """
SELECT
BAND_ID,
VALUE,
DESCRIPTION
FROM bandwidth WHERE SIG_ID = ?
"""
SELECT_MODULATION = """
SELECT
MDL_ID,
VALUE,
DESCRIPTION
FROM modulation WHERE SIG_ID = ?
"""
SELECT_MODE= """
SELECT
MOD_ID,
VALUE,
DESCRIPTION
FROM mode WHERE SIG_ID = ?
"""
SELECT_LOCATION = """
SELECT
LOC_ID,
VALUE,
DESCRIPTION
FROM location WHERE SIG_ID = ?
"""
SELECT_ACF = """
SELECT
ACF_ID,
VALUE,
DESCRIPTION
FROM acf WHERE SIG_ID = ?
"""
SELECT_STAT_DOCS = """
SELECT COUNT(*)
FROM documents
"""
SELECT_STAT_IMAGES = """
SELECT COUNT(*)
FROM documents
WHERE type IS 'Image'
"""
SELECT_STAT_AUDIO = """
SELECT COUNT(*)
FROM documents
WHERE type IS 'Audio'
"""
############################## CREATE
CREATE_SIGNALS = """
CREATE TABLE signals (
SIG_ID INTEGER PRIMARY KEY AUTOINCREMENT,
NAME TEXT,
DESCRIPTION TEXT,
URL TEXT
)
"""
CREATE_CATEGORY = """
CREATE TABLE category (
CAT_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER,
CLB_ID INTEGER,
FOREIGN KEY (SIG_ID) REFERENCES signals (SIG_ID) ON DELETE CASCADE ON UPDATE CASCADE,
FOREIGN KEY (CLB_ID) REFERENCES category_label (CLB_ID) ON DELETE CASCADE ON UPDATE CASCADE
)
"""
CREATE_CATEGORY_LABELS = """
CREATE TABLE category_label (
CLB_ID INTEGER PRIMARY KEY AUTOINCREMENT,
VALUE TEXT
)
"""
CREATE_DOCUMENTS = """
CREATE TABLE documents (
DOC_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER REFERENCES signals (SIG_ID) ON DELETE CASCADE,
EXTENSION TEXT,
NAME TEXT,
DESCRIPTION TEXT,
TYPE TEXT,
PREVIEW INTEGER
)
"""
CREATE_FREQUENCY = """
CREATE TABLE frequency (
FREQ_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER REFERENCES signals (SIG_ID) ON DELETE CASCADE,
VALUE INTEGER,
DESCRIPTION TEXT
)
"""
CREATE_BANDWIDTH = """
CREATE TABLE bandwidth (
BAND_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER REFERENCES signals (SIG_ID) ON DELETE CASCADE,
VALUE INTEGER,
DESCRIPTION TEXT
)
"""
CREATE_MODULATION = """
CREATE TABLE modulation (
MDL_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER REFERENCES signals (SIG_ID) ON DELETE CASCADE,
VALUE TEXT,
DESCRIPTION TEXT
)
"""
CREATE_MODE = """
CREATE TABLE mode (
MOD_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER,
VALUE TEXT,
DESCRIPTION TEXT,
FOREIGN KEY (SIG_ID) REFERENCES signals (SIG_ID) ON DELETE CASCADE ON UPDATE CASCADE
)
"""
CREATE_LOCATION = """
CREATE TABLE location (
LOC_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER,
VALUE TEXT,
DESCRIPTION TEXT,
FOREIGN KEY (SIG_ID) REFERENCES signals (SIG_ID) ON DELETE CASCADE ON UPDATE CASCADE
)
"""
CREATE_ACF = """
CREATE TABLE acf (
ACF_ID INTEGER PRIMARY KEY AUTOINCREMENT,
SIG_ID INTEGER REFERENCES signals (SIG_ID) ON DELETE CASCADE,
VALUE FLOAT,
DESCRIPTION TEXT
)
"""
CREATE_INFO = """
CREATE TABLE info (
NAME TEXT,
DATE TEXT,
VERSION INTEGER,
EDITABLE INTEGER
)
"""
CREATE_VIEW_FREQ = """
CREATE VIEW FREQ_RANGE AS
SELECT SIG_ID,
MIN(VALUE) AS MIN_VALUE,
MAX(VALUE) AS MAX_VALUE
FROM frequency
GROUP BY SIG_ID
"""
CREATE_VIEW_BAND = """
CREATE VIEW BAND_RANGE AS
SELECT SIG_ID,
MIN(VALUE) AS MIN_VALUE,
MAX(VALUE) AS MAX_VALUE
FROM bandwidth
GROUP BY SIG_ID
"""
############################## INSERT
INSERT_SIGNAL = """
INSERT INTO signals (
NAME,
DESCRIPTION
) VALUES (?,?)
"""
INSERT_CATEGORY = """
INSERT INTO category (
SIG_ID,
CLB_ID
) VALUES (?,?)
"""
INSERT_CATEGORY_LABEL = """
INSERT INTO category_label (
VALUE
) VALUES (?)
"""
INSERT_INFO = """
INSERT INTO info (
NAME,
DATE,
VERSION,
EDITABLE
) VALUES (?,?,?,?)
"""
INSERT_DOCUMENTS = """
INSERT INTO documents (
SIG_ID,
EXTENSION,
NAME,
DESCRIPTION,
TYPE,
PREVIEW
) VALUES (?,?,?,?,?,?)
"""
INSERT_FREQUENCY = """
INSERT INTO frequency (
SIG_ID,
VALUE,
DESCRIPTION
) VALUES (?,?,?)
"""
INSERT_BANDWIDTH = """
INSERT INTO bandwidth (
SIG_ID,
VALUE,
DESCRIPTION
) VALUES (?,?,?)
"""
INSERT_MODULATION = """
INSERT INTO modulation (
SIG_ID,
VALUE,
DESCRIPTION
) VALUES (?,?,?)
"""
INSERT_MODE = """
INSERT INTO mode (
SIG_ID,
VALUE,
DESCRIPTION
) VALUES (?,?,?)
"""
INSERT_LOCATION = """
INSERT INTO location (
SIG_ID,
VALUE,
DESCRIPTION
) VALUES (?,?,?)
"""
INSERT_ACF = """
INSERT INTO acf (
SIG_ID,
VALUE,
DESCRIPTION
) VALUES (?,?,?)
"""
############################## UPDATE
RENAME_DB = "UPDATE info SET NAME = ?"
UPDATE_SIGNAL = """
UPDATE signals SET
NAME = ?,
DESCRIPTION = ?
WHERE SIG_ID = ?
"""
UPDATE_CATEGORY_LABEL = """
UPDATE category_label SET
VALUE = ?
WHERE CLB_ID = ?
"""
UPDATE_FREQUENCY = """
UPDATE frequency SET
VALUE = ?,
DESCRIPTION = ?
WHERE FREQ_ID = ?
"""
UPDATE_BANDWIDTH = """
UPDATE bandwidth SET
VALUE = ?,
DESCRIPTION = ?
WHERE BAND_ID = ?
"""
UPDATE_ACF = """
UPDATE acf SET
VALUE = ?,
DESCRIPTION = ?
WHERE ACF_ID = ?
"""
UPDATE_MODE = """
UPDATE mode SET
VALUE = ?,
DESCRIPTION = ?
WHERE MOD_ID = ?
"""
UPDATE_LOCATION = """
UPDATE location SET
VALUE = ?,
DESCRIPTION = ?
WHERE LOC_ID = ?
"""
UPDATE_MODULATION = """
UPDATE modulation SET
VALUE = ?,
DESCRIPTION = ?
WHERE MDL_ID = ?
"""
UPDATE_DOCUMENTS = """
UPDATE documents SET
NAME = ?,
DESCRIPTION = ?,
TYPE = ?,
PREVIEW = ?
WHERE DOC_ID = ?
"""
############################## DELETE
DELETE_SIGNAL = "DELETE FROM signals WHERE SIG_ID = ?"
DELETE_DOCUMENT = "DELETE FROM documents WHERE DOC_ID = ?"
DELETE_FREQUENCY = "DELETE FROM frequency WHERE FREQ_ID = ?"
DELETE_BANDWIDTH = "DELETE FROM bandwidth WHERE BAND_ID = ?"
DELETE_MODULATION = "DELETE FROM modulation WHERE MDL_ID = ?"
DELETE_MODE = "DELETE FROM mode WHERE MOD_ID = ?"
DELETE_LOCATION = "DELETE FROM location WHERE LOC_ID = ?"
DELETE_ACF = "DELETE FROM acf WHERE ACF_ID = ?"
DELETE_CATEGORY = "DELETE FROM category WHERE CAT_ID = ?"
DELETE_CATEGORY_LABEL = "DELETE FROM category_label WHERE CLB_ID = ?"
############################## FILTER QUERY
FILTER_FREQ = "SELECT SIG_ID FROM FREQ_RANGE WHERE ({} >= MIN_VALUE) AND ({} <= MAX_VALUE)"
FILTER_BAND = "SELECT SIG_ID FROM BAND_RANGE WHERE ({} >= MIN_VALUE) AND ({} <= MAX_VALUE)"
FILTER_ACF = "SELECT SIG_ID FROM acf WHERE ({} >= VALUE) AND ({} <= VALUE)"
FILTER_MODULATION = "SELECT SIG_ID FROM modulation WHERE VALUE IN ({})"
FILTER_LOCATION = "SELECT SIG_ID FROM location WHERE VALUE IN ({})"
FILTER_CATEGORY = "SELECT SIG_ID FROM category WHERE CLB_ID IN ({})"

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from datetime import datetime
from artemis.utils.constants import Query
def format_frequency(freq_hz):
""" Return frequency in a human-readable format
Args:
freq_hz (int): frequency in Hz
"""
scale = _change_unit_freq(freq_hz)
formatted_freq = f'{freq_hz / scale[0]} {scale[1]}'
return formatted_freq
def _change_unit_freq(freq_hz):
""" Return a scale factor and unit based on the number of digits in the frequency
Args:
freq_hz (int): frequency in Hz
"""
digits = len(str(freq_hz))
if digits < 4:
return 1, 'Hz'
elif digits < 7:
return 10**3, 'kHz'
elif digits < 10:
return 10**6, 'MHz'
else:
return 10**9, 'GHz'
def generate_filter_query(filer_status):
""" Returns the sql query according to the selected filter parameters
Args:
filer_status (dic): dictionary containing a summary of the active
filtering options with the related parametes.
"""
query = []
for key, val in filer_status.items():
if key == 'frequency':
query.append(Query.FILTER_FREQ.format(
val['upper_band'],
val['lower_band']
))
elif key == 'bandwidth':
query.append(Query.FILTER_BAND.format(
val['upper_band'],
val['lower_band']
))
elif key == 'acf':
query.append(Query.FILTER_ACF.format(
val['upper_band'],
val['lower_band']
))
elif key == 'modulation':
query.append(Query.FILTER_MODULATION.format(
', '.join(f"'{mod}'" for mod in val)
))
elif key == 'location':
query.append(Query.FILTER_LOCATION.format(
', '.join(f"'{loc}'" for loc in val)
))
elif key == 'category':
query.append(Query.FILTER_CATEGORY.format(
', '.join(f"{cat}" for cat in val)
))
return ' INTERSECT '.join(query)
def parse_date(date_str):
""" Parses a date string in "%Y-%m-%d %H:%M:%S.%f" format and returns
the date in "YYYY-MM-DD" format. If parsing fails, returns the original string.
Args:
date_str (str): The date string to parse.
"""
try:
form_date = datetime.strptime(date_str, "%Y-%m-%d %H:%M:%S.%f")
return str(form_date.date())
except ValueError:
return date_str

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import os
from pathlib import Path
from artemis.utils.constants import Constants
from artemis.utils.sys_utils import is_windows, is_linux, is_macos
def normalize_dialog_path(path):
if is_windows():
norm_path = path.replace('file:///', '')
elif is_linux() or is_macos():
norm_path = path.replace('file:///', '/')
return norm_path
def _app_dir():
if is_macos():
app_dir_path = Path.home() / 'Library' / 'Application Support' / Constants.ORGANIZATION_NAME / Constants.APPLICATION_NAME
elif is_windows():
app_dir_path = Path.home() / 'AppData' / 'Local' / Constants.ORGANIZATION_NAME / Constants.APPLICATION_NAME
elif is_linux():
app_dir_path = Path.home() / '.local' / 'share' / Constants.ORGANIZATION_NAME / Constants.APPLICATION_NAME
else:
app_dir_path = BASE_DIR.resolve()
if not app_dir_path.exists():
app_dir_path.mkdir(parents=True)
return app_dir_path
def _data_dir():
data_dir_path = APP_DIR / 'data'
if not data_dir_path.exists():
data_dir_path.mkdir(parents=True)
return data_dir_path
def _tmp_dir():
if is_windows():
tmp_dir_path = Path.home() / 'AppData' / 'Local' / 'Temp'
else:
tmp_dir_path = Path('/tmp')
return tmp_dir_path
def _preference_dir():
preference_dir_path = APP_DIR / 'config'
if not preference_dir_path.exists():
preference_dir_path.mkdir(parents=True)
return preference_dir_path
BASE_DIR = Path(os.path.dirname(__file__)) / '../..'
APP_DIR = _app_dir()
DATA_DIR = _data_dir()
TMP_DIR = _tmp_dir()
PREFERENCES_DIR = _preference_dir()

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artemis/utils/sql_utils.py Normal file
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import os
import sqlite3
from PySide6.QtCore import QUrl
from operator import itemgetter
from datetime import datetime
from contextlib import closing
from artemis.utils.constants import Query, Constants
from artemis.utils.generic_utils import format_frequency
from artemis.utils.path_utils import DATA_DIR
class Database():
""" General superclass for SQLite DB manipulation.
Foreign keys are activated (otherwise disabled by default for compatibility purposes)
"""
def __init__(self, sql_path):
self.sql_path = sql_path
def execute(self, query, parameters=None, last_rowid=False):
""" Open a connection, execute the given query with optional parameters and close the connection.
In the case of a SELECT query, returns the results as a fetchall().
If last_rowid == True, this function returns a tuple with the result of the fetchall() and
the latest modified row id of the current connection.
"""
with closing(sqlite3.connect(self.sql_path, check_same_thread=False)) as conn:
conn.execute('PRAGMA foreign_keys = ON;')
curs = conn.cursor()
if parameters:
curs.execute(query, parameters)
else:
curs.execute(query)
conn.commit()
if last_rowid:
result = (curs.fetchall(), curs.lastrowid)
else:
result = curs.fetchall()
return result
################################## MARK: >>> DATABASE <<<
class ArtemisDatabase(Database):
""" General CRUD class for SQLite DB manipulation.
Foreign keys are activated (otherwise disabled by default for compatibility purposes)
"""
def __init__(self, db_dir_name):
self.db_dir_name = db_dir_name
self.db_dir = DATA_DIR / db_dir_name
self.sql_path = self.db_dir / Constants.SQL_NAME
self.media_dir = self.db_dir / 'media'
super().__init__(self.sql_path)
self.name = None
self.date = None
self.version = None
self.editable = None
self.all_signals = None
self.all_modulation = None
self.all_location = None
self.all_category_labels = None
self.filtered_signals = None
self.stats = {}
def load(self):
self._select_info()
self._select_all()
self._select_all_modulation()
self._select_all_location()
self._select_all_category_labels()
self._select_stats()
def _select_info(self):
""" Load the DB meta INFO from the table 'info'
"""
result = self.execute(Query.SELECT_INFO)[0]
self.name = result[0]
self.date = result[1]
self.version = result[2]
self.editable = result[3]
def _select_all(self):
""" Load a list of tuple for all signals. Each tuple (representing a signal)
contains the SIG_ID and the NAME of the signal
"""
self.all_signals = self.execute(Query.SELECT_ALL_SIGNALS)
keys = ('SIG_ID', 'name', 'description')
result = [dict(zip(keys, values)) for values in self.all_signals]
self.all_signals = result
def _select_all_modulation(self):
self.all_modulation = self.execute(Query.SELECT_ALL_MODULATION)
self.all_modulation = [{'value': item[0]} for item in self.all_modulation]
def _select_all_location(self):
self.all_location = self.execute(Query.SELECT_ALL_LOCATION)
self.all_location = [{'value': item[0]} for item in self.all_location]
def _select_all_category_labels(self):
self.all_category_labels = self.execute(Query.SELECT_ALL_CAT_LABELS)
self.all_category_labels = [{'clb_id': item[0], 'value': item[1]} for item in self.all_category_labels]
def _select_stats(self):
tot_docs = self.execute(Query.SELECT_STAT_DOCS)[0][0]
tot_images = self.execute(Query.SELECT_STAT_IMAGES)[0][0]
tot_audio = self.execute(Query.SELECT_STAT_AUDIO)[0][0]
self.stats['documents'] = tot_docs
self.stats['images'] = tot_images
self.stats['audio'] = tot_audio
self.stats['signals'] = len(self.all_signals)
def select_by_filter(self, filter_query):
matching_sig_ids = self.execute(filter_query)
sig_ids = ",".join(str(num[0]) for num in matching_sig_ids)
self.all_signals = self.execute(Query.SELECT_SIG_ID.format(sig_ids))
keys = ('SIG_ID', 'name', 'description')
result = [dict(zip(keys, values)) for values in self.all_signals]
self.all_signals = result
def create(self, name):
""" Create new db in the data folder.
The name of folder containing the new db has a unique id as name (db_dir_name).
"""
meta = [name, datetime.now(), 1, 1]
os.makedirs(self.db_dir)
os.makedirs(self.media_dir)
self.execute(Query.CREATE_INFO)
self.execute(Query.INSERT_INFO, meta)
self.execute(Query.CREATE_SIGNALS)
self.execute(Query.CREATE_CATEGORY)
self.execute(Query.CREATE_CATEGORY_LABELS)
self.execute(Query.CREATE_FREQUENCY)
self.execute(Query.CREATE_BANDWIDTH)
self.execute(Query.CREATE_MODULATION)
self.execute(Query.CREATE_MODE)
self.execute(Query.CREATE_LOCATION)
self.execute(Query.CREATE_ACF)
self.execute(Query.CREATE_DOCUMENTS)
self.execute(Query.CREATE_VIEW_FREQ)
self.execute(Query.CREATE_VIEW_BAND)
def rename(self, name):
self.execute(Query.RENAME_DB, [name])
def insert_category_label(self, value):
self.execute(Query.INSERT_CATEGORY_LABEL, [value])
def update_category_label(self, clb_id, value):
self.execute(Query.UPDATE_CATEGORY_LABEL, [value, clb_id])
def delete_category_label(self, clb_id):
self.execute(Query.DELETE_CATEGORY_LABEL, [clb_id])
################################## MARK: >>> SIGNAL <<<
class ArtemisSignal():
""" Main class of the object signal
"""
def __init__(self, loaded_db):
self.db = loaded_db
self.sig_id = None
self.name = None
self.description = None
self.url = None
self.category = None
self.frequency = None
self.bandwidth = None
self.modulation = None
self.mode = None
self.location = None
self.acf = None
self.documents = None
self.spectrum_path = None
self.audio_path = None
def load(self, sig_id):
self.sig_id = sig_id
self._select_signals()
self._select_category()
self._select_frequency()
self._select_bandwidth()
self._select_modulation()
self._select_mode()
self._select_location()
self._select_acf()
self.select_documents()
def generate_dic(self):
dic = {
'name': self.name,
'description': self.description,
'url': self.url,
'category': self.category,
'frequency': self.frequency,
'bandwidth': self.bandwidth,
'modulation': self.modulation,
'mode': self.mode,
'location': self.location,
'acf': self.acf,
'spectrum_path': self.spectrum_path,
'audio_path': self.audio_path,
'all_category': self.db.all_category_labels
}
return dic
################################## MARK: SELECT Methods
def _select_signals(self):
signal = self.db.execute(Query.SELECT_SIGNAL, [self.sig_id])[0]
self.name = signal[0]
self.description = signal[1]
self.url = signal[2]
def _select_category(self):
self.category = self.db.execute(Query.SELECT_CATEGORY, [self.sig_id])
self.category = [list(x) for x in self.category]
def _select_frequency(self):
result = self.db.execute(Query.SELECT_FREQUENCY, [self.sig_id])
sorted_list = sorted(result, key=itemgetter(1))
self.frequency = [list(x) + [format_frequency(x[1])] for x in sorted_list]
def _select_bandwidth(self):
result = self.db.execute(Query.SELECT_BANDWIDTH, [self.sig_id])
sorted_list = sorted(result, key=itemgetter(1))
self.bandwidth = [list(x) + [format_frequency(x[1])] for x in sorted_list]
def _select_acf(self):
self.acf = self.db.execute(Query.SELECT_ACF, [self.sig_id])
self.acf = [list(x) for x in self.acf]
def _select_modulation(self):
self.modulation = self.db.execute(Query.SELECT_MODULATION, [self.sig_id])
self.modulation = [list(x) for x in self.modulation]
def _select_mode(self):
self.mode = self.db.execute(Query.SELECT_MODE, [self.sig_id])
self.mode = [list(x) for x in self.mode]
def _select_location(self):
self.location = self.db.execute(Query.SELECT_LOCATION, [self.sig_id])
self.location = [list(x) for x in self.location]
def select_documents(self):
self.documents = self.db.execute(Query.SELECT_DOCUMENTS, [self.sig_id])
default_spectrum = [doc for doc in self.documents if doc[4] == 'Image' and doc[5] == 1]
default_audio = [doc for doc in self.documents if doc[4] == 'Audio' and doc[5] == 1]
if default_spectrum != []:
default_spectrum_filename = '{}.{}'.format(str(default_spectrum[0][0]), default_spectrum[0][1])
self.spectrum_path = self.db.media_dir / default_spectrum_filename
self.spectrum_path = QUrl.fromLocalFile(self.spectrum_path.resolve())
else:
self.spectrum_path = 'qrc:///images/spectrum_not_available.svg'
if default_audio != []:
default_audio_filename = '{}.{}'.format(str(default_audio[0][0]), default_audio[0][1])
self.audio_path = self.db.media_dir / default_audio_filename
self.audio_path = QUrl.fromLocalFile(self.audio_path.resolve())
else:
self.audio_path = ''
################################## MARK: UPDATE Methods
def update_signal(self, sig_id, value, description):
self.db.execute(Query.UPDATE_SIGNAL, [value, description, sig_id])
def update_frequency(self, freq_id, value, description):
self.db.execute(Query.UPDATE_FREQUENCY, [value, description, freq_id])
def update_bandwidth(self, band_id, value, description):
self.db.execute(Query.UPDATE_BANDWIDTH, [value, description, band_id])
def update_modulation(self, modu_id, value, description):
self.db.execute(Query.UPDATE_MODULATION, [value, description, modu_id])
def update_mode(self, mode_id, value, description):
self.db.execute(Query.UPDATE_MODE, [value, description, mode_id])
def update_acf(self, acf_id, value, description):
self.db.execute(Query.UPDATE_ACF, [value, description, acf_id])
def update_location(self, loc_id, value, description):
self.db.execute(Query.UPDATE_LOCATION, [value, description, loc_id])
def update_documents(self, doc_id, name, description, type, is_preview):
self.db.execute(Query.UPDATE_DOCUMENTS, [name, description, type, is_preview, doc_id])
################################## MARK: INSERT Methods
def insert_signal(self, value, description):
self.db.execute(Query.INSERT_SIGNAL, [value, description])
def insert_frequency(self, value, description):
self.db.execute(Query.INSERT_FREQUENCY, [self.sig_id, value, description])
def insert_bandwidth(self, value, description):
self.db.execute(Query.INSERT_BANDWIDTH, [self.sig_id,value, description])
def insert_modulation(self, value, description):
self.db.execute(Query.INSERT_MODULATION, [self.sig_id,value, description])
def insert_mode(self, value, description):
self.db.execute(Query.INSERT_MODE, [self.sig_id,value, description])
def insert_acf(self, value, description):
self.db.execute(Query.INSERT_ACF, [self.sig_id,value, description])
def insert_location(self, value, description):
self.db.execute(Query.INSERT_LOCATION, [self.sig_id,value, description])
def insert_category(self, clb_id):
self.db.execute(Query.INSERT_CATEGORY, [self.sig_id, clb_id])
def insert_document(self, doc_lst):
row_id = self.db.execute(Query.INSERT_DOCUMENTS, [self.sig_id] + doc_lst[1:], True)[1]
return row_id
################################## MARK: DELETE Methods
def delete_signal(self):
self.db.execute(Query.DELETE_SIGNAL, [self.sig_id])
def delete_frequency(self, freq_id):
self.db.execute(Query.DELETE_FREQUENCY, [freq_id])
def delete_bandwidth(self, band_id):
self.db.execute(Query.DELETE_BANDWIDTH, [band_id])
def delete_modulation(self, modu_id):
self.db.execute(Query.DELETE_MODULATION, [modu_id])
def delete_mode(self, mode_id):
self.db.execute(Query.DELETE_MODE, [mode_id])
def delete_acf(self, acf_id):
self.db.execute(Query.DELETE_ACF, [acf_id])
def delete_location(self, loc_id):
self.db.execute(Query.DELETE_LOCATION, [loc_id])
def delete_document(self, doc_id):
self.db.execute(Query.DELETE_DOCUMENT, [doc_id])
def delete_category(self, cat_id):
self.db.execute(Query.DELETE_CATEGORY, [cat_id])

100
artemis/utils/sys_utils.py Normal file
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@@ -0,0 +1,100 @@
import os
import platform
import subprocess
import hashlib
from shutil import rmtree, copyfile, make_archive, unpack_archive
from pathlib import Path
from artemis.utils.constants import Messages
def is_windows():
return platform.system() == 'Windows'
def is_macos():
return platform.system() == 'Darwin'
def is_linux():
return platform.system() == 'Linux'
def open_file(file_path, timeout=3):
try:
if is_windows():
os.startfile(file_path)
elif is_macos():
subprocess.call(['open', file_path], timeout=timeout)
elif is_linux():
subprocess.call(['xdg-open', file_path], timeout=timeout)
else:
return
except FileNotFoundError:
raise Exception(Messages.FILE_NOT_FOUND_ERR_MSG)
except Exception as e:
raise Exception(Messages.GENERIC_ERROR_MSG.format(e))
def open_directory(directory, timeout=3):
if is_windows():
subprocess.call(['explorer', str(Path(directory))], timeout=timeout)
elif is_macos():
subprocess.call(['open', directory], timeout=timeout)
elif is_linux():
subprocess.call(['xdg-open', directory], timeout=timeout)
else:
return
def copy_file(src_file_path, dst_file_path):
copyfile(src_file_path, dst_file_path)
def delete_dir(dir_path):
if os.path.exists(dir_path):
rmtree(dir_path)
def delete_file(file_path):
if os.path.exists(file_path):
os.remove(file_path)
def make_tar(save_path, origin_path):
""" Create a tar archive from a folder
Args:
save_path: destination path where new tar is saved
origin_path: directory path of the folder to be archived
"""
make_archive(save_path, 'tar', origin_path.resolve().as_posix())
def unpack_tar(tar_path, destination_path):
""" Unpack a tar archive in a folder
Args:
tar_path: path of the tar to be unpacked
destination_path: path where the tar is extracted
"""
unpack_archive(tar_path, destination_path, 'tar')
def match_hash(data, reference_hash):
""" Check whether the checksum of 'data' match the reference one.
Args:
data (str): Path of the file to be checked
reference_hash (str): Reference SHA-256 hash
"""
if reference_hash is None:
raise ValueError("ERROR: Invalid hash code.")
code = hashlib.sha256()
b = bytearray(128*1024)
mv = memoryview(b)
with open(data, 'rb', buffering=0) as f:
while n := f.readinto(mv):
code.update(mv[:n])
return code.hexdigest() == reference_hash

23
artemis/utils/ui_utils.py Normal file
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@@ -0,0 +1,23 @@
import os
from artemis.utils.sys_utils import is_windows, is_linux, is_macos
from artemis.utils.config_utils import CONFIGURE_QT
def set_ui():
os.environ['QT_QUICK_CONTROLS_STYLE'] = CONFIGURE_QT.value('Controls', 'style', 'Material')
os.environ['QT_QUICK_CONTROLS_MATERIAL_VARIANT'] = CONFIGURE_QT.value('Material', 'variant', 'Dense')
os.environ['QT_QUICK_CONTROLS_MATERIAL_THEME'] = CONFIGURE_QT.value('Material', 'theme', 'System')
os.environ['QT_QUICK_CONTROLS_MATERIAL_ACCENT'] = CONFIGURE_QT.value('Material', 'accent', 'Green')
if is_windows():
os.environ['QSG_RHI_BACKEND'] = 'opengl'
if is_linux():
os.environ['GDK_BACKEND'] = 'x11'
os.environ['QT_QPA_PLATFORM'] = 'xcb'
os.environ['QT_ENABLE_GLYPH_CACHE_WORKAROUND'] = '1'
os.environ['QML_USE_GLYPHCACHE_WORKAROUND'] = '1'
os.environ['QT_DEBUG_PLUGINS'] = CONFIGURE_QT.value('Develop', 'debug_plugin', '0')

View File

@@ -0,0 +1,222 @@
import uuid
import requests
from packaging.version import Version
from artemis.utils.constants import Constants, Messages
from artemis.utils.sys_utils import is_windows, is_linux, is_macos, delete_file, match_hash, unpack_tar, open_file
from artemis.utils.path_utils import DATA_DIR, TMP_DIR
class UpdateManager:
""" Class used to manage DB and software updates
"""
def __init__(self, parent):
self._parent = parent
self.db_update = None
self.art_update = None
self.remote_db_url = None
self.remote_db_hash = None
self.remote_db_version = None
self.remote_db_size = None
self.remote_db_file_name = None
self.remote_artemis_version = None
self.remote_artemis_url = None
self.remote_artemis_file_name = None
self.check_updates()
def check_updates(self, show_popup=False):
""" Checks if a software or DB update is available.
Prioritize Artemis updates over the DB one.
Args:
show_popup (bool, optional):
If False, suppress the "already up-to-date" message on startup.
Defaults to False. True is usefull when the user manual check for
updates.
"""
latest_json = self.fetch_remote_json(Constants.LATEST_VERSION_URL, show_popup)
if latest_json:
local_db = self._parent.dbmanager.get_latest_local_sigid_db()
remote_db = latest_json['sigID_DB']
self.remote_db_version = remote_db['version']
self.remote_db_url = remote_db['url']
self.remote_db_hash = remote_db['sha256_hash']
self.remote_db_size = remote_db['total_bytes']
self.remote_db_file_name = self.remote_db_url.split('/')[-1]
if is_windows():
self.remote_artemis_version = latest_json['windows']['version']
self.remote_artemis_url = latest_json['windows']['url']
elif is_linux():
self.remote_artemis_version = latest_json['linux']['version']
self.remote_artemis_url = latest_json['linux']['url']
elif is_macos():
self.remote_artemis_version = latest_json['mac']['version']
self.remote_artemis_url = latest_json['mac']['url']
self.remote_artemis_file_name = self.remote_artemis_url.split('/')[-1]
if Version(self.remote_artemis_version) > Version(Constants.APPLICATION_VERSION):
self.art_update = True
else:
self.art_update = False
if self.art_update:
self._show_popup_art_update()
else:
if local_db:
if self.remote_db_version > local_db.version:
self._show_popup_db_update()
elif show_popup:
self._show_popup_up_to_date()
else:
self._show_popup_initial_db_download()
def fetch_remote_json(self, url, show_popup=False):
""" Fetches the remote json from a url
Args:
show_popup (bool, optional): If false, suppress any error message
Defaults to False (to avoid error if the program is used offline)
"""
try:
response = requests.get(url)
response.raise_for_status()
return response.json()
except requests.exceptions.RequestException as e:
if show_popup:
self._parent.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.NO_CONNECTION,
Messages.NO_CONNECTION_MSG.format(e)
)
return None
def download_db(self):
""" Open the downloader and download the sigID database in the
TMP_DIR folder. After a succesfull download the callback function
from the downloader is post_download_db
"""
self._parent.downloader.finished.connect(self.post_download_db)
self._parent.downloader.on_start(
self.remote_db_url,
TMP_DIR
)
def post_download_db(self):
""" After a succesfull DB download, this function check the hash
for possible corrupted data, delete old sigID DB and extract
the new one
"""
latest_db_tar_path = TMP_DIR / self.remote_db_file_name
if match_hash(latest_db_tar_path, self.remote_db_hash):
db_dir_name = str(uuid.uuid4())
unpack_tar(latest_db_tar_path, DATA_DIR / db_dir_name)
self._parent.load_db(db_dir_name)
self._show_popup_db_download_complete()
else:
self._show_popup_db_hash_failed()
delete_file(latest_db_tar_path)
def download_artemis(self):
""" Open the downloader and download Artemis in the
TMP_DIR folder. After a succesfull download the callback function
from the downloader is post_download_artemis
"""
self._parent.downloader.finished.connect(self.post_download_artemis)
self._parent.downloader.on_start(
self.remote_artemis_url,
TMP_DIR
)
def post_download_artemis(self):
""" After a succesfull Artemis download, this open the installer
and close the application
"""
if is_windows():
open_file(TMP_DIR / self.remote_artemis_file_name)
self._parent.close_ui.emit()
def _show_popup_db_update(self):
""" Prompts the user to download the updated version of the database
"""
self._parent.dialog_download_db(
Messages.DIALOG_TYPE_WARN,
Messages.DB_NEW_VER,
Messages.DB_NEW_VER_MSG.format(self.remote_db_version)
)
def _show_popup_art_update(self):
""" Alerts the user of a new version of Artemis.
Windows - asks to download with automatic update
Linux, macOS - redirects to GitHub page
"""
if is_windows():
self._parent.dialog_update_artemis(
Messages.DIALOG_TYPE_QUEST,
Messages.ART_NEW_VER,
Messages.ART_NEW_VER_AUTO_MSG.format(self.remote_artemis_version),
True
)
else:
self._parent.dialog_update_artemis(
Messages.DIALOG_TYPE_QUEST,
Messages.ART_NEW_VER,
Messages.ART_NEW_VER_MANUAL_MSG.format(self.remote_artemis_version),
False
)
def _show_popup_up_to_date(self):
""" Notifies the user that the database is up to date
"""
self._parent.dialog_popup(
Messages.DIALOG_TYPE_INFO,
Messages.UP_TO_DATE,
Messages.UP_TO_DATE_MSG
)
def _show_popup_initial_db_download(self):
""" Prompts the user to download the database for the first time
"""
self._parent.dialog_download_db(
Messages.DIALOG_TYPE_QUEST,
Messages.NO_DB_DETECTED,
Messages.NO_DB_DETECTED_MSG
)
def _show_popup_db_download_complete(self):
""" DB has been succesfully downloaded
"""
self._parent.dialog_popup(
Messages.DIALOG_TYPE_INFO,
Messages.GENERIC_SUCCESS,
Messages.DB_DOWNLOAD_SUCCESS_MSG
)
def _show_popup_db_hash_failed(self):
""" Notify the user after detection of a corrupted database
"""
self._parent.dialog_popup(
Messages.DIALOG_TYPE_ERROR,
Messages.DB_CORRUPTED,
Messages.DB_CORRUPTED_MSG
)

View File

@@ -0,0 +1,30 @@
#!/usr/bin/env bash
echo "Building Linux target ..."
echo "Installing requirements ..."
pip install -r requirements.txt
pip install nuitka==2.4.10
echo "Building with Nuitka ..."
python -m nuitka app.py \
--standalone \
--show-modules \
--assume-yes-for-downloads \
--enable-plugin=pyside6 \
--noinclude-dlls=libQt6Charts* \
--noinclude-dlls=libQt6Quick3D* \
--noinclude-dlls=libQt6Sensors* \
--noinclude-dlls=libQt6Test* \
--noinclude-dlls=libQt6WebEngine* \
--include-qt-plugins=styles \
--include-qt-plugins=qml \
--include-qt-plugins=multimedia \
--include-data-files=./artemis/resources.py=./artemis/resources.py \
--include-data-files=./config/qtquickcontrols2.conf=./config/qtquickcontrols2.conf \
--include-data-files=./building/Linux/create_shortcut.sh=./create_shortcut.sh \
--include-data-files=./images/artemis_icon.svg=./images/artemis_icon.svg \
--force-stderr-spec="{TEMP}/artemis.err.log" \
--force-stdout-spec="{TEMP}/artemis.out.log"
echo "Building Linux target finished."

View File

@@ -1,7 +1,7 @@
clear clear
echo " echo "
=================================== ===================================
Artemis 3 Shortcut Creator Artemis 4 Shortcut Creator
LINUX LINUX
=================================== ===================================
" "
@@ -15,7 +15,7 @@ sudo chmod 700 $DIR
# Generation of shortcut # Generation of shortcut
file=/home/$USER/.local/share/applications/artemis.desktop file=/home/$USER/.local/share/applications/artemis.desktop
if [ -e "$file" ]; then if [ -e "$file" ]; then
echo "A shortcut of Artemis 3 is already present:" echo "A shortcut of Artemis 4 is already present:"
echo "" echo ""
echo "R) Remove the shortcut and the icon file" echo "R) Remove the shortcut and the icon file"
echo "U) Update the shortcut" echo "U) Update the shortcut"
@@ -26,16 +26,16 @@ if [ -e "$file" ]; then
echo "[Desktop Entry]" >> /home/$USER/.local/share/applications/artemis.desktop echo "[Desktop Entry]" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Name=Artemis" >> /home/$USER/.local/share/applications/artemis.desktop echo "Name=Artemis" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Type=Application" >> /home/$USER/.local/share/applications/artemis.desktop echo "Type=Application" >> /home/$USER/.local/share/applications/artemis.desktop
echo "StartupWMClass=artemis3" >> /home/$USER/.local/share/applications/artemis.desktop echo "StartupWMClass=artemis" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Exec=sh -c \"cd $DIR && ./Artemis\" " >> /home/$USER/.local/share/applications/artemis.desktop echo "Exec=sh -c \"cd $DIR && ./app.bin\" " >> /home/$USER/.local/share/applications/artemis.desktop
echo "Terminal=false" >> /home/$USER/.local/share/applications/artemis.desktop echo "Terminal=false" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Icon=artemis3" >> /home/$USER/.local/share/applications/artemis.desktop echo "Icon=artemis_icon" >> /home/$USER/.local/share/applications/artemis.desktop
sudo cp ./artemis3.svg /usr/share/icons/ sudo cp ./images/artemis_icon.svg /usr/share/icons/
echo "Link Updated!" echo "Link Updated!"
;; ;;
r|R) r|R)
sudo rm /home/$USER/.local/share/applications/artemis.desktop sudo rm /home/$USER/.local/share/applications/artemis.desktop
sudo rm /usr/share/icons/artemis3.svg sudo rm /usr/share/icons/artemis_icon.svg
echo "Link and icon removed!" echo "Link and icon removed!"
;; ;;
*) echo "Sorry! Invalid option $REPLY";; *) echo "Sorry! Invalid option $REPLY";;
@@ -44,14 +44,14 @@ else
echo "[Desktop Entry]" >> /home/$USER/.local/share/applications/artemis.desktop echo "[Desktop Entry]" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Name=Artemis" >> /home/$USER/.local/share/applications/artemis.desktop echo "Name=Artemis" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Type=Application" >> /home/$USER/.local/share/applications/artemis.desktop echo "Type=Application" >> /home/$USER/.local/share/applications/artemis.desktop
echo "StartupWMClass=artemis3" >> /home/$USER/.local/share/applications/artemis.desktop echo "StartupWMClass=artemis" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Exec=sh -c \"cd $DIR && ./Artemis\" " >> /home/$USER/.local/share/applications/artemis.desktop echo "Exec=sh -c \"cd $DIR && ./app.bin\" " >> /home/$USER/.local/share/applications/artemis.desktop
echo "Terminal=false" >> /home/$USER/.local/share/applications/artemis.desktop echo "Terminal=false" >> /home/$USER/.local/share/applications/artemis.desktop
echo "Icon=artemis3" >> /home/$USER/.local/share/applications/artemis.desktop echo "Icon=artemis_icon" >> /home/$USER/.local/share/applications/artemis.desktop
sudo cp ./artemis3.svg /usr/share/icons/ sudo cp ./images/artemis_icon.svg /usr/share/icons/
echo " echo "
Link copied in: /home/$USER/.local/share/applications/artemis.desktop Link copied in: /home/$USER/.local/share/applications/artemis.desktop
Icon copied in: /usr/share/icons/artemis3.svg Icon copied in: /usr/share/icons/artemis_icon.svg
" "
fi fi

View File

@@ -0,0 +1,35 @@
Write-Output "Building Windows target"
Write-Output "Installing requirements ..."
pip install -r requirements.txt
pip install nuitka==2.4.10
Write-Output "Building with Nuitka ..."
python -m nuitka app.py `
--standalone `
--show-modules `
--assume-yes-for-downloads `
--windows-console-mode=disable `
--enable-plugin=pyside6 `
--noinclude-dlls="Qt6Charts*" `
--noinclude-dlls="Qt6Quick3D*" `
--noinclude-dlls="Qt6Sensors*" `
--noinclude-dlls="Qt6Test*" `
--noinclude-dlls="Qt6WebEngine*" `
--include-qt-plugins=styles `
--include-qt-plugins=qml `
--include-qt-plugins=multimedia `
--include-data-files=.\artemis\resources.py=.\artemis\resources.py `
--include-data-files=.\config\qtquickcontrols2.conf=.\config\qtquickcontrols2.conf `
--force-stderr-spec="{TEMP}\artemis.err.log" `
--force-stdout-spec="{TEMP}\artemis.out.log" `
--windows-company-name=Aresvalley.com `
--windows-product-name=Artemis `
--windows-file-version=4.1.0 `
--windows-product-version=4.1.0 `
--windows-file-description=Artemis `
--windows-icon-from-ico=images\artemis_icon.ico
Rename-Item -Path app.dist\app.exe -NewName artemis.exe
Write-Output "Building Windows target finished."

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@@ -0,0 +1,48 @@
#define MyAppName "Artemis"
#define MyAppVersion "4.1.0"
#define MyAppPublisher "AresValley"
#define MyAppURL "https://www.aresvalley.com/"
#define MyAppExeName "artemis.exe"
[Setup]
AppName={#MyAppName}
AppId={{2A04F9B8-0EF1-4D46-A335-E484DA6CE8A7}
AppVersion={#MyAppVersion}
AppPublisher={#MyAppPublisher}
AppPublisherURL={#MyAppURL}
AppSupportURL={#MyAppURL}
AppUpdatesURL={#MyAppURL}
DefaultDirName={autopf}\{#MyAppName}
DisableProgramGroupPage=yes
LicenseFile=..\..\LICENSE
PrivilegesRequiredOverridesAllowed=dialog
OutputDir=..\
OutputBaseFilename=Artemis
SetupIconFile=..\..\images\installer_icon.ico
Compression=lzma2/ultra64
SolidCompression=yes
VersionInfoVersion={#MyAppVersion}
ArchitecturesAllowed=x64
UninstallDisplayIcon={app}\{#MyAppExeName}
WizardStyle=modern
[Languages]
Name: "english"; MessagesFile: "compiler:Default.isl"
[Tasks]
Name: "desktopicon"; Description: "{cm:CreateDesktopIcon}"; GroupDescription: "{cm:AdditionalIcons}"; Flags: unchecked
[Files]
Source: "..\..\app.dist\{#MyAppExeName}"; DestDir: "{app}"; Flags: ignoreversion
Source: "..\..\app.dist\*"; DestDir: "{app}"; Flags: ignoreversion recursesubdirs createallsubdirs
[Icons]
Name: "{autoprograms}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"
Name: "{autodesktop}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"; Tasks: desktopicon
[Run]
Filename: "{app}\{#MyAppExeName}"; Description: "{cm:LaunchProgram,{#StringChange(MyAppName, '&', '&&')}}"; Flags: nowait postinstall skipifsilent
[UninstallDelete]
Type: filesandordirs; Name: "{localappdata}\{#MyAppPublisher}\{#MyAppName}\cache"
Type: filesandordirs; Name: "{localappdata}\{#MyAppPublisher}\{#MyAppName}\config"

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@@ -0,0 +1,28 @@
#!/usr/bin/env bash
echo "Building maacOS target ..."
echo "Installing requirements ..."
pip install -r requirements.txt
pip install nuitka==2.3 imageio
echo "Building with Nuitka ..."
python -m nuitka app.py \
--standalone \
--follow-imports \
--show-modules \
--assume-yes-for-downloads \
--enable-plugin=pyside6 \
--include-qt-plugins=sensible,styles,qml,multimedia \
--include-data-files=./artemis/resources.py=./artemis/resources.py \
--include-data-files=./config/qtquickcontrols2.conf=./config/qtquickcontrols2.conf \
--include-data-files=./building/Linux/create_shortcut.sh=./create_shortcut.sh \
--macos-create-app-bundle \
--macos-app-icon=images/artemis_icon.ico \
--macos-signed-app-name=com.AresValley.Artemis \
--macos-app-name=Artemis \
--macos-app-mode=gui \
--macos-sign-identity=ad-hoc \
--macos-app-version=4.1.0
echo "Building Linux target finished."

View File

@@ -0,0 +1,13 @@
[Controls]
style=Material
[Material]
variant=Dense
theme=System
accent=Green
[Database]
autoload=0
[Develop]
debug_plugin=0

20
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@@ -0,0 +1,20 @@
{
"sigID_DB": {
"version": 71,
"url": "https://github.com/AresValley/Artemis-DB/releases/download/v71/v71.tar",
"sha256_hash": "90c7da33443019104fccadb787bf5f4eb01704d10fac67959c40eace71408bac",
"total_bytes": 196515840
},
"windows": {
"version": "4.0.5",
"url": "https://github.com/AresValley/Artemis/releases/download/v4.0.5/Artemis-Windows-x86_64-4.0.5.exe"
},
"linux": {
"version": "4.0.5",
"url": "https://github.com/AresValley/Artemis/releases/download/v4.0.5/Artemis-Linux-x86_64-4.0.5.zip"
},
"mac": {
"version": "4.0.0",
"url": ""
}
}

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@@ -0,0 +1,65 @@
#!/bin/bash
cd "$(dirname "${BASH_SOURCE[0]}")"
if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
OS_ARCH=$(uname -m)
case "${OS_ARCH}" in
x86_64*) OS_ARCH="x86_64";;
arm64*) OS_ARCH="aarch64";;
*) echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit
esac
# config
INSTALL_DIR="$(pwd)/installer_files"
CONDA_ROOT_PREFIX="$(pwd)/installer_files/conda"
INSTALL_ENV_DIR="$(pwd)/installer_files/env"
MINICONDA_DOWNLOAD_URL="https://repo.anaconda.com/miniconda/Miniconda3-py310_23.1.0-1-Linux-${OS_ARCH}.sh"
conda_exists="F"
# figure out whether git and conda needs to be installed
if "$CONDA_ROOT_PREFIX/bin/conda" --version &>/dev/null; then conda_exists="T"; fi
# (if necessary) install git and conda into a contained environment
# download miniconda
if [ "$conda_exists" == "F" ]; then
echo "Downloading Miniconda from $MINICONDA_DOWNLOAD_URL to $INSTALL_DIR/miniconda_installer.sh"
mkdir -p "$INSTALL_DIR"
curl -Lk "$MINICONDA_DOWNLOAD_URL" > "$INSTALL_DIR/miniconda_installer.sh"
chmod u+x "$INSTALL_DIR/miniconda_installer.sh"
bash "$INSTALL_DIR/miniconda_installer.sh" -b -p $CONDA_ROOT_PREFIX
# test the conda binary
echo "Miniconda version:"
"$CONDA_ROOT_PREFIX/bin/conda" --version
fi
# create the installer env
if [ ! -e "$INSTALL_ENV_DIR" ]; then
"$CONDA_ROOT_PREFIX/bin/conda" create -y -k --prefix "$INSTALL_ENV_DIR" python=3.10
fi
# check if conda environment was actually created
if [ ! -e "$INSTALL_ENV_DIR/bin/python" ]; then
echo "Conda environment is empty."
exit
fi
# activate installer env
source "$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh" # otherwise conda complains about 'shell not initialized' (needed when running in a script)
conda activate "$INSTALL_ENV_DIR"
if [ ! -e "./Artemis" ]; then
git clone https://github.com/AresValley/Artemis.git
pip install -r Artemis/requirements/requirements.txt --user
fi
# setup installer env
cd ./Artemis/src/
python artemis.py
echo
echo "Done!"

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@@ -0,0 +1,56 @@
@echo off
cd /D "%~dp0"
echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. && goto end
set PATH=%PATH%;%SystemRoot%\system32
@rem config
set INSTALL_DIR=%cd%\installer_files
set CONDA_ROOT_PREFIX=%cd%\installer_files\conda
set INSTALL_ENV_DIR=%cd%\installer_files\env
set MINICONDA_DOWNLOAD_URL=https://repo.anaconda.com/miniconda/Miniconda3-py310_23.1.0-1-Windows-x86_64.exe
set conda_exists=F
@rem figure out whether git and conda needs to be installed
call "%CONDA_ROOT_PREFIX%\_conda.exe" --version >nul 2>&1
if "%ERRORLEVEL%" EQU "0" set conda_exists=T
@rem (if necessary) install git and conda into a contained environment
@rem download conda
if "%conda_exists%" == "F" (
echo Downloading Miniconda from %MINICONDA_DOWNLOAD_URL% to %INSTALL_DIR%\miniconda_installer.exe
mkdir "%INSTALL_DIR%"
call curl -Lk "%MINICONDA_DOWNLOAD_URL%" > "%INSTALL_DIR%\miniconda_installer.exe" || ( echo. && echo Miniconda failed to download. && goto end )
echo Installing Miniconda to %CONDA_ROOT_PREFIX%
start /wait "" "%INSTALL_DIR%\miniconda_installer.exe" /InstallationType=JustMe /NoShortcuts=1 /AddToPath=0 /RegisterPython=0 /NoRegistry=1 /S /D=%CONDA_ROOT_PREFIX%
@rem test the conda binary
echo Miniconda version:
call "%CONDA_ROOT_PREFIX%\_conda.exe" --version || ( echo. && echo Miniconda not found. && goto end )
)
@rem create the installer env
if not exist "%INSTALL_ENV_DIR%" (
echo Packages to install: %PACKAGES_TO_INSTALL%
call "%CONDA_ROOT_PREFIX%\_conda.exe" create --no-shortcuts -y -k --prefix "%INSTALL_ENV_DIR%" python=3.10 || ( echo. && echo Conda environment creation failed. && goto end )
call pip install PySide6==6.5.0 requests
)
@rem check if conda environment was actually created
if not exist "%INSTALL_ENV_DIR%\python.exe" ( echo. && echo Conda environment is empty. && goto end )
@rem activate installer env
call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
@rem setup installer env
call python app.py
echo.
echo Done!
:end
pause

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# Autocorrelation Function (ACF)
## Theoretical Introduction
Correlation functions are valuable mathematical tools utilized across various scientific disciplines, including engineering, physics, and chemistry. The cross-correlation function, commonly defined as a sliding inner (dot) product, quantifies the similarity between two signals as a function of a temporal shift applied to one of them:
$$
\left[ k*l \right]\equiv \int_{-\infty}^{+\infty}k^{*}(t)l(t+\tau)dt
$$
where $k$ and $l$ are two general non-discrete functions without discontinuity, $k^{*}$ is the complex conjugate of $k$ and $\tau$ is the lag (time delay for signal analysis). This representation is closely related to the convolution theorem by the following relationship:
$$
k(t)*l(t)\equiv k^{*}(-t)*l(t)
$$
In our case, the signal must be compared with itself to identify periodic patterns or detect anomalous high degrees of similarity within a given time interval. To achieve this objective, we can employ the Autocorrelation Function (ACF), which is essentially the cross-correlation of a signal with itself, where $k(t)=l(t)$. The following equation defines the ACF, derived from a straightforward modification of the initial equation:
$$
\left[ k*k \right](\tau)\equiv \int_{-\infty}^{+\infty}k^{*}(t)k(t+\tau)dt
$$
Within a discrete data set composed by $Y(t)$ records we can easily calculate autocorrelation from:
$$
\rho_{\tau}=\frac{\sum_{i=1}^{N-\tau}(Y_i-\bar{Y})(Y_{i+\tau}-\bar{Y})}{\sum_{i=1}^{N}(Y_i-\bar{Y})^2}
$$
where $Y_{i+τ}$ is a lagged data by $τ$ of $Y_i$ and $\bar{Y}$ is the average value of the original data set. Entire denominator is used to keep the normalization condition, indeed ρτ can assume a value between -1 (exact anticorrelation) and +1 (exact correlation). A complete correlation can be only achieved with a perfect overlap of the analyzed function with it self; the simple way to verify that is when $τ=0$
![Screenshot](assets/acf_1.png)
## Example: ACF Analysis
### STANAG 4285
The first example will be a NATO standard known as STANAG 4285. You can download a .wav sample from [:material-download: HERE](assets/stanag_4285.wav).
<div align="center">
<audio controls>
<source src="https://raw.githubusercontent.com/AresValley/Artemis/master/docs/assets/stanag_4285.wav" type="audio/wav">
Your browser does not support the audio player.
</audio>
</div>
We start to collect some information about the structure of this signal: a good starting point is the official declassified NATO document dated 1989. The main frame structure can be found at **Annex A-3/5** with a graphical view at **Annex A-7**, also reported below:
* [STANAG 4285 (i)](assets/acf_2.png)
* [STANAG 4285 A-3](assets/acf_3.png)
* [STANAG 4285 A-4](assets/acf_4.png)
* [STANAG 4285 A-5](assets/acf_5.png)
* [STANAG 4285 A-7](assets/acf_6.png)
!!! note "Summary"
* 1 x 80 bits of synchronization pattern
* 4 x 32 bits of data
* 3 x 16 bits of reference
Therefore, a full sequence will be composed as the sum of all symbols reported above: 256 symbols recursively transmitted at the ratio of 2400 bauds means a redundancy of 106.66 ms.
To analyze an unknown signal I strongly recommend **Signal Analyzer (SA)**. SA is actually one of the most valuable and priceless software available by Sergey Makarov (Макаров Сергей Михайлович, sadly passed away on 29 May 2012) and it used to perform several tests on data sample coded as .wav or .mp3 file. The signal waterfall is reported below:
![Screenshot](assets/acf_7.png)
When an Autocorrelation function is applied on selected data frame (see above), the result shows a clear recursive pattern with a gap of **106.244 ms** between every peak as expected. An ACF refinement can be done into **WaveForm** windows where we can also notice an identical structure as reported by the specifications
![Screenshot](assets/acf_8.png)
![Screenshot](assets/acf_9.png)
!!! Success "Summary"
1. Synchronization pattern is composed by $2400*33.013E-3=79.2\simeq 80$ symbols
2. Data group contain $2400*13.348E-3=32.0=32$ symbols
3. Reference sequence is formed by $2400*6.674E-3=16.02\simeq 16$ symbols

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<svg xmlns="http://www.w3.org/2000/svg" width="222.267" height="371.88" viewBox="0 0 166.7 278.91" fill="#231f20" xmlns:v="https://vecta.io/nano"><path d="M0 140.2L83.35 0l83.35 140.2-25.74 43.28-16.55-27.43c2.98-5.36 6.25-10.54 9.33-15.84L83.35 55.44 32.96 140.2l9.34 15.79-16.52 27.47L0 140.2zm37.52 62.49l45.83-76.19 45.83 76.18-45.83 76.23-45.83-76.22z"/></svg>

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<svg xmlns="http://www.w3.org/2000/svg" width="222.267" height="371.88" viewBox="0 0 166.7 278.91" fill="#231f20" xmlns:v="https://vecta.io/nano"><path d="M0 140.2L83.35 0l83.35 140.2-25.74 43.28-16.55-27.43c2.98-5.36 6.25-10.54 9.33-15.84L83.35 55.44 32.96 140.2l9.34 15.79-16.52 27.47L0 140.2zm37.52 62.49l45.83-76.19 45.83 76.18-45.83 76.23-45.83-76.22z" fill="#fff"/></svg>

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#
![sw_current](assets/main_window.webp)
## 1. Main Menu
### File
* **New Database**
Create a new database.
* **Load Database**
Open the Database Manager windows in order to open, rename, or delete a database.
* **Import Database**
Import an Artemis database with a standard .tar format.
!!! tip "Offline Importing of SigID Database"
Sometimes it may happen that a computer does not have network access and unfortunately Artemis cannot download the SigID database. To solve this you can:
1. Download the .tar database [:material-download: HERE](https://github.com/AresValley/Artemis-DB/releases) from a PC with an internet access
2. Import the downloaded .tar on the target PC (without internet access) using the **Import Database** function
* **Export Database**
Export the loaded database with a standard .tar format.
* **Edit Tags**
Open the tags editor window. From here, you can add, rename, or delete tags. The tags can be added to a signal from the [tags menu](#4-tags)
* **Open Database Folder**
Shows the folder of the currently loaded database in the explorer.
* **Preferences**
Open the program settings window.
* **Exit**
This will close the application.
### Signal
* **New**
Add a new signal to the database.
* **Edit**
Edit the current/selected signal from the loaded database.
### Space Weather
* **Check Report**
Open the main [Space Weather window](space_weather/current.md) and retrieve all the live data from Poseidon Crawler.
## 2. Signal List
This is the signal list where all the database entries are shown. When a signal is selected, it will load on the right panel.
### Filter by Name/Description
On top of the list, there is a field for filtering signals by name or any keyword inside the description of the signal: this filter has the highest priority among all the filters.
## 3. Signal Menu
Here you can swithc between the main **signal** window and the **filter** page.
## 4. Tags
* **Associate Tag**
Custom tags can be associated to the selected signal with the :octicons-plus-circle-16: icon
* **Remove Tag**
In order to remove a tag, just click on its badge.
* **Add/Rename Tag**
To add a new tag open the [Tags Editor](#1-main-menu) in the main menu.
## 5. Add Parameter
Click on the labels to add the corresponding parameter to the signal (e.g. click on **Frequency** to add a new frequency).
## 6. Edit Parameter
Click on the parameter badge to open the Signal Editor windows. From here, you can edit or delete the corresponding parameter.
!!! tip "Parameter Description"
All the parameters have a description field: if some text is added, it will appear when the corresponding parameter badge is hovered with the mouse pointer.
## 7. Description :simple-markdown:{ title="Markdown Supported" }
This is the description of the signal and can be edited from the [Main Menu](#1-main-menu) (`Signal/Edit...`)
!!! tip "Markdown Supported"
The Description field can render **Markdown**, a simple markup language for creating rich text using plain text. Headers, emphasis, lists, links, code blocks, and many more features for advanced text formatting. [Markdown Basic Syntax :simple-markdown:](https://www.markdownguide.org/basic-syntax/)
## 8. Audio Sample
This is a player where an audio sample of the signal can be played. To associate an audio file to be shown as the **main** audio sample, check in the [extra menu](#10-extra) below the signal spectrum.
## 9. Image Sample
This is an image box that commonly contains the signal spectrum/waterfall. To associate an image file to be shown as the **main** image sample, check in the [extra menu](#10-extra) below the signal spectrum.
## 10. Extra
:material-earth: This button is only available for the standard SigID wiki database and connects the local signal to its counterpart on the [sigidwiki website](https://www.sigidwiki.com/).
:material-file-document-multiple: This will open the **Documents Manager**. From here you can add any file (audio, image, pdf, etc.) to the signal entry. It is also possible to mark only one image and one audio to be shown on the main signal window.

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# Build Package
Building a distributable package with an executable for Artemis creates a practical solution for end-users, as they can run the application without needing to interact with the terminal and they can easily share the application as a standalone package.
## Requirements
* Python (3.11 or higher)
!!! info
We assume that Python is already installed on the system and the Artemis source code has been downloaded and extracted. If these prerequisites are not met, please follow steps 1 to 3 in the [run from source section](run_from_source.md).
!!! warning "Cross-Compilation"
An operating system that matches the target OS must be used to generate standalone packages, as Nuitka does not support cross-compilation. For example, you cannot build binaries on Windows that work on Linux or macOS.
## :simple-windows: Windows
### Procedure
1. Open a PowerShell terminal in the main Artemis folder and execute the following command to start the build process:
```
.\building\Windows\build_windows.ps1
```
2. Wait for the build process to complete. This may take a few minutes depending on your system's performance. Once the process finishes, check the `artemis.dist/` directory: it will contain the standalone software with the `artemis.exe` executable.
---
## :simple-linux: Linux
### Procedure
1. Open a terminal in the main Artemis folder and execute the following command to start the build process:
```
. ./building/Linux/build_linux.sh
```
2. Wait for the build process to complete. This may take a few minutes depending on your system's performance. Once the process finishes, check the `artemis.dist/` directory: it will contain the standalone software with the `app.bin` executable.
3. If you wish to create a shortcut, follows the procedure in the [installation section](installation.md/#create-a-shortcut)
---
## :simple-apple: Mac OS
!!! warning
The support for the macOS compiled version of the program is temporarily limited due to a lack of machines for extensive testing. Feel free to contribute by reporting any issues you encounter by [opening an Issue](https://github.com/AresValley/Artemis/issues).
### Procedure
1. Open a terminal in the main Artemis folder and execute the following command to start the build process:
```
. ./building/macOS/build_macos.sh
```

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# Contribute
Artemis is an open-source project, and every contribution, no matter how small, is valuable and greatly appreciated. Don't worry about getting everything perfect; we are happy to work with you on your contribution and help you along the way. This guide will help you get started by outlining various ways you can contribute.
<div class="grid cards" markdown>
- :material-bug: __Spot a bug?__
---
Please open an issue (or pull request) and let us know the problem you faced (or you're working on)
[:octicons-arrow-right-24: Open an Issue](https://github.com/AresValley/Artemis/issues)
- :material-source-fork: __Fork the repository__
---
Create a copy of the codebase from which you can modify and submit pull requests.
[:octicons-arrow-right-24: Fork the repo](https://github.com/AresValley/Artemis)
- :material-lightbulb-on: __Ideas?__
---
Idea for a new feature? Open an issue on the project's GitHub repository to describe your proposal.
[:octicons-arrow-right-24: Open an Issue](https://github.com/AresValley/Artemis/issues)
- :material-heart: __Spreading the word!__
---
Do you like Artemis? Remember to share it with your network and your friends!
</div>

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# License & Credits
## License
Artemis is maintained by Marco Dalla Tiezza and released under the [GPLv3](https://github.com/AresValley/Artemis/blob/master/LICENSE) license.
## Credits
* **Marco Dalla Tiezza** - *Artemis I-II-IV developer, DB parsing, Website*
* [**Alessandro Ceccato**](https://github.com/alessandro90 "GitHub profile") - *Artemis III lead developer*
* **Paolo Romani (IZ1MLL)** - *Lead β Tester, RF specialist*
* **Carl Colena** - *Sigidwiki admin, β Tester, Signals expert*
* [**Marco Bortoli**](https://github.com/marbort "GitHub profile") - *macOS deployment, β Tester*
* [**Eric Wiessner (KI7POL)**](https://github.com/WheezyE "GitHub profile") - *ARM port (Raspberry Pi3B+ and Pi4B)*
* [**Pierpaolo Pravatto**](https://github.com/ppravatto "GitHub profile") - *Wiki page, β Tester*
* [**Francesco Capostagno**](https://github.com/fcapostagno "GitHub profile"), **Luca**, **Pietro** - *β Tester*

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# ACF
The table contains 4 columns explained below.
!!! example
A technical explanation on how autocorrelation function works along with a practical example is reported [HERE](../acf_analysis.md)
## ACF_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new ACF. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the ACF. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## VALUE
`FLOAT`
The autocorrelation time expressed in ms.
## DESCRIPTION
`TEXT`
The short description is used to explain the details about the autocorrelation value, e.g. `Frame`, `Superframe`, etc.

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# Bandwidth
The table contains 4 columns explained below.
## BAND_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new bandwidth. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the bandwidth. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## VALUE
`INTEGER`
The bandwidth in Hz expressed as an integer.
## DESCRIPTION
`TEXT`
The short description is used to explain the purpose of the bandwidth and any other useful details.

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# Category Label
This table contains only the name of the category/tag. The table contains 2 columns explained below.
## CLB_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new category tag. It is auto-incrementing and is not replaced in the event of deletion.
## VALUE
`TEXT`
The name of the category/tag expressed as a string.

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# Category
The primary function of this table is to facilitate the classification of the signal by assigning it to its appropriate family or category. Can be used with any tag. The table contains 3 columns explained below.
## CAT_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new category/tag. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the category. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## CLB_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific **category label** associated with the category. It links to the primary key of the [Category Label](db_cat_label.md) table that holds the name of the category.

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# Frequency
The table contains 4 columns explained below.
## FREQ_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new frequency. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the frequency. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## VALUE
`INTEGER`
The freqeuncy in Hz expressed as an integer.
## DESCRIPTION
`TEXT`
The short description is used to explain the purpose of the bandwidth and any other useful details.

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# Info
This is the database meta table and contains 4 columns explained below.
## NAME
`TEXT`
This is the name of the database.
## DATA
`TEXT`
The creation date when the database has been initialised.
## VERSION
`INTEGER`
A simple integer to denote the database version.
## EDITABLE
`INTEGER`
This field should serve as a writing protection on the database.
* **-1**: reserved to sigID database. This is the primary way to distinguish a valid sigID database
* **0**: read-only database
* **1**: database can be edited with no restrictions

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# Location
This is the location where the signal is distributed/received. Avoid the usage of the precise location of the TX station or very small town (very rare). It's a good habit to use **nations/continents** or special location (like `Worldwide`). The table contains 4 columns explained below.
## LOC_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new location. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the location. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## VALUE
`TEXT`
The location expressed as a string.
## DESCRIPTION
`TEXT`
The short description is used to explain further details about the location.

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# Mode
This field reports the way how a signals has been decoded during the reception. The table contains 4 columns explained below.
## MOD_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new mode. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the modulation. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## VALUE
`TEXT`
The mode expressed as a string.
## DESCRIPTION
`TEXT`
The short description is used to explain the purpose of the mode and any other useful details.

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# Modulation
Modulation refers to the method by which information is encoded into the main signal (carrier). This process involves altering various properties of the carrier signal, such as amplitude, frequency, or phase. Multiple modulation techniques can be employed, and a TX station has the capability to utilize different modulation schemes. The table contains 4 columns explained below.
## MDL_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a new modulation. It is auto-incrementing and is not replaced in the event of deletion.
## SIG_ID
`INTEGER` :material-axis-arrow:{ title="Foreign key" }
This is a direct reference to the specific signal associated with the modulation. It links to the primary key of the [Signals](db_signals.md) table that holds detailed information about the signals.
## VALUE
`TEXT`
The modulation expressed as a string.
## DESCRIPTION
`TEXT`
The short description is used to explain the purpose of the modulation and any other useful details.

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# Database
With the release of Artemis 4, we have made a significant upgrade in our data management system by transitioning from a CSV file to a full relational SQL database. This change brings a multitude of advantages that enhance the efficiency, scalability, and reliability of our system. In the following sections, we will explore, table by table, the structure of the new database.
![Screenshot](../assets/sql_schema.webp)

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# Signals
This is the main table and contains 4 columns explained below.
## SIG_ID
`INTEGER` :material-key-outline:{ title="Primary key" } :material-upload-outline:{ title="Auto-increment" }
This is a unique identification number for each entry that is assigned during the creation of a signal. It is auto-incrementing and is not replaced in the event of signal deletion.
## NAME
`TEXT`
The name of the signal. A simple string that describes in short the analyzed signal. Special characters are allowed.
## DESCRIPTION
`TEXT`
The short description is used to explain the purpose of the signal and some other useful details.
!!! tip
The DESCRIPTION field supports **Markdown**, a simple markup language for creating rich text using plain text. Headers, emphasis, lists, links, code blocks and many more features for advanced text formtting. [Markdown Basic Syntax :simple-markdown:](https://www.markdownguide.org/basic-syntax/)
## URL
`TEXT`
The sigidwiki (SigID) URL of the selected signal. This is a direct connection to the online database where further details of the signal are collected.
!!! info
**Internal Use Only** This field is for the SigID database and not intended for user viewing or editing. Personal URLs can be stored in the signal description.

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# SigID Wiki Database
<div align="center" markdown>
![GitHub Release](https://img.shields.io/github/v/release/AresValley/Artemis-DB?label=Latest%20release)
![GitHub repo file or directory count (in path)](https://img.shields.io/github/directory-file-count/aresvalley/artemis-db/static?type=dir&label=DB%20signals)
![GitHub Downloads (all assets, all releases)](https://img.shields.io/github/downloads/AresValley/Artemis-DB/total?label=DB%20requests)
![GitHub Release Date](https://img.shields.io/github/release-date/AresValley/Artemis-DB)
</div>
Artemis serves as a valuable resource for both personal signal collection and leveraging a vast repository of pre-identified signals. This software application allows users to curate their own collections, but its true strength lies in its integration with a comprehensive database of known signals. This database is directly sourced from the [Signal Identification Wiki](https://www.sigidwiki.com/wiki/Signal_Identification_Guide), an open-source resource collaboratively maintained by a global community of radio enthusiasts.
!!! tip "Database Revision"
For quality control purposes, the database undergoes a rigorous review process before integration into Artemis. This review adheres to established [guidelines](https://github.com/AresValley/Artemis-DB), ensuring the accuracy and completeness of the information presented to users. The specifics of this review process are outlined in the following section.
## Modulation
A good practise (reported also on ) is to write the primary type of modulation (if known) and not all the possible variants. A practical example is reported on [Signal Identification Wiki](https://www.sigidwiki.com/wiki/Signal_Identification_Guide): there is no need to write **8-PSK** or **QPSK**, **PSK** is enough. The Artemis SigID database is provided without any modulation variants included. The recognized modulations are listed below:
### Analog
* **AM:** Amplitude Modulation
* **FM:** Frequency Modulation
* **PM:** Phase Modulation
* **LSB:** Lower Sideband
* **USB:** Upper Sideband
* **VSB:** Vestigial Sideband
* **CW:** Continuous Wave
### Digital
* **QAM:** Quadrature Amplitude Modulation
* **PSK:** Phase-Shift Keying
* **FSK:** Frequency-Shift Keying
* **ASK:** Amplitude-Shift Keying
* **MSK:** Minimum-Shift Keying
* **IFK:** Incremental Frequency Keying
* **OOK:** On-Off Keying
* **FDM:** Frequency-Division Multiplexing
* **BOC:** Binary Offset Carrier Modulation
* **CDMA:** Code Division Multiple Access
* **TDMA:** Time Division Multiple Access
* **FBMC:** Filter Bank Multi Carrier
* **UFMC:** Universal Filtered Multi Carrier
* **PCM:** Pulse Code Modulation
* **PPM:** Pulse Position Modulation
* **FMCW:** Frequency-Modulated Continuous Wave
* **Pulse:** Pulse
### Spread Spectrum
* **CSS:** Chirp Spread Spectrum
* **DSSS:** Direct Sequence Spread Spectrum
* **FHSS:** Frequency Hopping Spread Spectrum
* **THSS:** Time Hopping Spread Spectrum
## Locations
Locations are either countries or special token (`Worldwide`, `Europe`, etc.) . Precise location of the TX station, towns and cities are converted to their respective countries.

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# Frequently Asked Questions
### What about an automatic signal recognition feature?
This question has been asked countless times, and for good reason: in many fields, machine learning (ML) has disrupted the way we solve problems, and when applied to the right field, you can get outstanding results. **So why not on signals?**
Well, the story dates back to at least 2017 when I started discussing it with several people on the rtl-sdr blog: at first, it seemed promising, but like many things, all that glitters is not gold. Let us proceed in order:
#### ML / Deep Learning approach
A machine learning/neural network approach would not be complex (from a technical standpoint) if there were not the problem of the dataframe completeness. To be effective, neural models need to be trained on a large number of entries. The precise number can vary and strongly depends on the nature of data used for training, but commonly, numbers can be tens of thousands of entries or even more, for example. This would not be a significant concern in the case of RF signals because the various encodings that differentiate can be created artificially using for example [Fldigi](http://www.w1hkj.com/). To make these synthetic signals more like a real one, noise and artificial distortions can be added. However, this approach allows us to have a spectrum that ranges only over civilian, non-proprietary, and non-military signals (a little bit more than 150 out of 500, in the best-case scenario). Many efforts have been made in this field and some excellent results have been reported below:
- [OShea, Corgan, and Clancy](https://arxiv.org/pdf/1602.04105) - Training Size: 900000 signals, 11 modulations
- [Stefan Scholl](https://arxiv.org/pdf/1906.04459) - Training Size: 120000 signals, 18 modulations
- [Stefan Scholl](https://panoradio-sdr.de/automatic-identification-of-160-shortwave-rf-signals-with-deep-learning/) - Training Size: 1.2 million signals, 143 modulations tested in HF
Therefore, The main point is to have a good quality data frame to train the model; this is not always an easy task for the above reasons. Subsequently, as Stefan Scholl pointed out on his blog, similar modulations (MFSK-32 vs Olivia 16/500) can significantly decrease the effectiveness of discrimination. The quality of reception can also influence the result as well:  high SNR cannot always be an ideal point since the reception can be disrupted by interference or fading.
#### Classical Audio Analysis
More classical methods, such as similarity recognition between audio samples (such as using Mel-frequency cepstral coefficients, for example), could be effective, albeit marginally, if applied to the 500 signals audio sample library from sigID wiki. With the same signal encoding, the content of the signal alone can affect the similarity index and, thus, the method's effectiveness. Listening to a signal with the same modulation but encoding different information can significantly decrease the accuracy of signal recognition.

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---
title: Documentation
---
#
<div align="center">
<iframe width="560" height="315" src="https://www.youtube.com/embed/W_8Y_4FvoHI?si=0hBqRnxnzCUWmTxK" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
</div>
<p align="center" markdown>
[Artemis Homepage](https://www.aresvalley.com){ .md-button }
</p>
**Artemis** is a software designed to assist **radio frequency (RF) signal identification and storage**. It simplifies real-time spectrum analysis by leveraging one of the most extensive and community-driven databases, containing over **520 recognized signals**. This comprehensive software solution allows users to collect RF signals with specific parameters such as frequency, bandwidth, modulation, etc. Users can also store spectrum waterfalls, audio samples, and all types of documents for future reference. Artemis provides a robust platform to manage a wide range of RF data with precision and ease.

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# Installation
**Requirements:**
* **Windows** 8 or later
* **Linux** Ubuntu 20.04+ / Mint 20+ / Fedora 32+ and many other
* **macOS** 11+ (Big Sur or later)
## :simple-windows: Windows
1. Download the installer `Artemis-Windows-x86_64-4.x.x.exe` in the Assets menu from the [:material-download: LATEST RELEASE](https://github.com/AresValley/Artemis/releases) and follow the guided procedure to complete the installation process.
---
## :simple-linux: Linux
1. On Linux, the xcb plugin is utilized to supply the essential functionality required for Qt GUI and Qt Widgets to operate on [X11](https://doc.qt.io/qt-6/linux-requirements.html). On some Linux distributions the required dependencies are already met, but in many cases, you will need to install them. To install the dependencies use:
``` bash title="Debian-based distro (Ubuntu, Mint, Pop! OS, Kali, ...)"
sudo apt install libxcb-*
```
2. Download `Artemis-Linux-x86_64-4.x.x.tar` in the Assets menu from the [:material-download: LATEST RELEASE](https://github.com/AresValley/Artemis/releases) and extract the tarball archive in a folder of your choice.
3. Before running `app.bin`, be sure to have the executable permissions to the binary file with:
```
chmod 700 app.bin
```
### Create a Shortcut
1. To create a direct shortcut (in the main menu) launch the bash script in the terminal with the command:
```
. create_shortcut.sh
```
This script will:
- Set the correct read/write privileges of the Artemis folder
- Create the artemis.desktop file (shortcut) in /home/$USER/.local/share/applications
- Move the Artemis icon file to /usr/share/icons
---
## :simple-apple: Mac OS
!!! warning
The macOS support is temporarily limited!
The support for the macOS compiled version of the program is temporarily limited due to a lack of machines for extensive testing. To use Artemis on a macOS device, you have the following options:
* **Run the program directly from the source:** Follow the instructions provided in [this chapter](run_from_source.md) to launch the program from the source code.
* **Compile the Artemis 4 binaries on your machine:** In this case, you can contribute by reporting any issues you encounter by [opening an Issue](https://github.com/AresValley/Artemis/issues).
* **Use the last available compiled version (3.2.1):** Although this version is no longer officially supported, it remains available for use: [:material-download: Artemis-3.2.1.dmg](https://www.aresvalley.com/?sdm_process_download=1&download_id=377).

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document$.subscribe(({ body }) => {
renderMathInElement(body, {
delimiters: [
{ left: "$$", right: "$$", display: true },
{ left: "$", right: "$", display: false },
{ left: "\\(", right: "\\)", display: false },
{ left: "\\[", right: "\\]", display: true }
],
})
})

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# Run from source code
Running Artemis directly from the source code using the Python interpreter is considered the most reliable and least problematic method. This approach ensures maximum compatibility and reduces the likelihood of encountering runtime issues. However, it is also the less practical option, as it requires the use of the terminal for the execution.
## Requirements
* Python (3.11 or higher)
## Procedure
1. Download and install Python (3.11 or higher) from the official [website](https://www.python.org/downloads/). Be sure to select the flag `Add Python 3.x to PATH` during the first part of the installation.
2. Download Artemis source code from the [latest release](https://github.com/AresValley/Artemis/releases) in the GitHub repository.
3. Extract the downloaded archive.
4. Open the terminal in Artemis folder and install the required Python libraries with PIP:
```
pip install -r requirements.txt --user
```
5. Launch Artemis:
```
python app.py
```
!!! example "Note for Developers"
Whenever modifications are made to any **.qml** file or any assets (such as images, icons, etc.), it is essential to recompile the **resource.py** file to ensure that the changes are reflected in the application. To achieve this, execute the following command:
```
pyside6-rcc ./artemis.qrc -o artemis/resources.py
```
## Folders Structure
Artemis can be safely executed and/or installed in any folder (even protected ones, such as `Program Files (x86)` in Windows) because Artemis performs read-only operations in the `BASE_DIR` folder from where it runs. All the reading-writing operations (such as database ops, logging, etc.) are performed in standard folders as follow:
### :simple-windows: Windows
* Data, Cache, Configurations: `$USER\AppData\Local\AresValley\Artemis`
* Logs: `$USER\AppData\Local\Temp`
### :simple-linux: Linux
* Data, Cache, Configurations: `~/.local/share/AresValley/Artemis`
* Logs: `/tmp`
### :simple-apple: Mac OS
* Data, Cache, Configurations: `~/Library/Application Support/AresValley/Artemis`
* Logs: `/tmp`

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# Solar Synoptic Analysis
Synoptic maps of the solar surface are drawn each day by SWPC forecasters, providing forecasters with a broad outline of solar surface features. These maps were started on June 2, 1972 and have been produced daily since then.
!!! quote "Source"
The Solar Synoptic Analysis is courtesy of the Space Weather Prediction Center (SWPC) part of the National Oceanic and Atmospheric Administration (NOAA), located in Boulder, Colorado.
## How to Read
### Active Regions
Active regions are localized magnetic fields on the Sun. Areas with strong or intense magnetic fields provide energy for solar flares and coronal mass ejections (CMEs), so accurate forecasting of space weather activity requires an accurate picture of these regions.. Active regions are given official numbers by SWPC, and the drawings include the probabilities of C, M, and X class flares for the next 24 hours associated with each active region, along with a proton event probability.
### Coronal Holes
Coronal holes are single polarity magnetic regions that are the source of high speed solar winds which drive magnetospheric activity. Coronal holes are the most common cause of geomagnetic storms. Coronal holes have historically been identified from He I 10830A ground-based observations. The boundaries of coronal holes are shown on the synoptic drawings as lines with hash marks on the coronal hole side of the boundary line.
### Neutral Lines
Large magnetic field structures of one magnetic polarity have a neutral line at the boundary of the different magnetic polarities of the fields. Neutral lines are associated with flaring in active regions, and filaments/prominences are often associated with the neutral lines on a quiet sun. Neutral lines appear as dashed lines on the synoptic drawings and the forecaster indicates the polarity of the magnetic field on either side of the neutral line with + (positive) and (negative) signs.
### Plages
Plages make up most of an Active Region, and appear bright in conjunction with the dark sunspots. Plages have strong magnetic fields but disorganized magnetic fields, unlike the highly organized fields of sunspots. In the synoptic drawings, plages are colored red. It is quite normal to have regions of plage with no sunspots, which do not receive an official number since they are not considered active regions and are unlikely to produce solar flares. Plage regions are the chief source of UV variability from the sun, however.
### Filaments and Prominences
Highly-stable regions of high density gas in the low density corona are called filaments. When these occur near the limb and can be seen protruding from the corona, often in spectacular fashion, they are called prominences. When they erupt they can be a geomagnetic storm threat, but the eruptions are usually slow and dont often drive large storms. The filaments and prominences are drawn as outlines with hash marks.
## Solar Coordinates
- Lt: The current Carrington longitude line (north to south) at solar center disk.
- Bt: Referred to as the B-angle. The angle measured from the current position of Earth within its tilted (inclined) orbit, compared to the Suns equator. It ranges between + or 7.23 degrees.
- Pt: Referred to as the position angle. Essentially, the current angle between Earths geocentric north pole and the Suns rotational north pole. The range is between + or 26.31 degrees.
- Returning Carringtons: Refers to the next 3 days of returning Carrington longitude lines to the east limb of the Sun.
## Spot Group Labeling
Spot groups are labeled with their assigned NOAA SWPC number. Underneath that number are four probability numbers (from 1 to 100 %) for C-class flares, M-class flares, X-class flares, and energetic proton events.
## Coronal Hole Labeling
Coronal holes are labeled with their assigned number. Underneath that number is a plus or minus sign representing the polarity of the coronal hole. Beside that figure is a number from 1 to 4 representing confidence of coronal hole analysis (4=good; 3=fair; 2=poor; 1=uncertain).

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#
![sw_current](../assets/sw_4.webp)
This short-term aurora forecast predicts its location and intensity over the next 30 to 90 minutes, based on the [OVATION model](https://www.swpc.noaa.gov/products/aurora-30-minute-forecast). The lead time of the forecast corresponds to the duration it takes for the solar wind to travel from the L1 observation point to Earth.
Auroras indicate current geomagnetic storm conditions and provide situational awareness for various technologies: for example, they directly affect HF radio communication and GPS/GNSS satellite navigation and are related to ground-induced currents impacting electric power transmission.
For many people, the aurora is a beautiful nighttime phenomenon that is worth traveling to arctic regions just to observe. It is the only way for most people to actually experience space weather.

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#
![sw_current](../assets/sw_1.webp)
## 1. Kp Index
The **K index** is a number (from 0 to 9) that shows how much Earth's magnetic field is disturbed. A K index of 1 means things are calm, while a K index of 5 or higher indicates a geomagnetic storm. These disturbances are measured with magnetometers that track changes in Earth's magnetic field every three hours. The K itself comes from a German word "Kennziffer" meaning "characteristic digit". To get a big picture of what's happening around the world, an official planetary **Kp index** is calculated. This is done by averaging the K indices from a special network of 13 geomagnetic observatories located around the globe at mid-latitudes.
|Index|Activity Level|High Latitudes|Low Latitudes|Possible Source|
|-|-|-|-|-|
|**Kp 0**|Inactive|Weak & slow aurora possible|Aurora extremely unlikely|Small influx of particles due to some reconnections mostly at the magnetotail|
|**Kp 1**|Very Quiet|Weak & slow aurora likely|Aurora very unlikely|Vide supra|
|**Kp 2**|Quiet|Moderate auroral display|Aurora unlikely|Vide supra|
|**Kp 3**|Unsettled|Active auroral display, sporadic substorm possible|Weak aurora display possible|Coronal hole sending fast winds or remains after days of storming, enhanced solar wind|
|**Kp 4**|Active|Active auroral display, multiple sporadic substorms possible|Weak Aurora Display Possible|Vide supra|
|**Kp 5**|Minor Storm (G1)|Very active auroral display, multiple substorms likely|Aurora display likely|Coronal hole sending fast winds or coronal mass ejection (CME), enhanced solar wind|
|**Kp 6**|Moderate Storm (G2)|Strong auroral display, longer substorms|Active auroral display very likely|Vide supra|
|**Kp 7**|Strong Storm (G3)|Very strong auroral display|Strong auroral display extremely likely|Large CMEs caused by solar storms or flares, very enhanced solar wind with strong shock wave|
|**Kp 8**|Severe Storm (G4)|Extremely strong aurora, long periods of substorming|Strong auroral display extremely likely|Vide supra|
|**Kp 9**|Extreme Storm (G5)|Extremely strong aurora, long periods of substorming|Very strong auroral display, overhead aurora possible|Super CMEs, Carrington-class events, devastating solar wind with extreme shock waves|
## 2. Ap Index
The **A index** represents the three-hourly equivalent amplitude of geomagnetic activity at a specific magnetometer station, derived from the station-specific K index. Due to the quasi-logarithmic nature of the K-scale in relation to magnetometer fluctuations, directly averaging a set of K indices is not really meaningful. Instead each K is converted back into a linear scale. The **Ap index** is determined by averaging the eight daily Ap values (3-hour) and using the same stations grid explained for the Kp index in the previous section. This provides a measure of geomagnetic activity for a specific day. Days with higher levels of geomagnetic activity correspond to higher daily Ap values.
## 3. NOAA Space Weather Scale
### Geomagnetic Storm
??? danger "G5 (Extreme)"
* **Physical measure:** Kp = 9
* **Average Frequency:** 4 days per cycle (11 years)
**Power systems:** Widespread voltage control problems and protective system problems can occur, some grid systems may experience complete collapse or blackouts. Transformers may experience damage.
**Spacecraft operations:** May experience extensive surface charging, problems with orientation, uplink/downlink and tracking satellites.
**Other systems:** Pipeline currents can reach hundreds of amps, HF (high frequency) radio propagation may be impossible in many areas for one to two days, satellite navigation may be degraded for days, low-frequency radio navigation can be out for hours, and aurora has been seen as low as Florida and southern Texas (typically 40° geomagnetic lat.).
??? danger "G4 (Severe)"
* **Physical measure:** Kp = 8 to 9-
* **Average Frequency:** 60 days per cycle (11 years)
**Power systems:** Possible widespread voltage control problems and some protective systems will mistakenly trip out key assets from the grid.
**Spacecraft operations:** May experience surface charging and tracking problems, corrections may be needed for orientation problems.
**Other systems:** Induced pipeline currents affect preventive measures, HF radio propagation sporadic, satellite navigation degraded for hours, low-frequency radio navigation disrupted, and aurora has been seen as low as Alabama and northern California (typically 45° geomagnetic lat.).
??? warning "G3 (Strong)"
* **Physical measure:** Kp = 7
* **Average Frequency:** 130 days per cycle (11 years)
**Power systems:** Voltage corrections may be required, false alarms triggered on some protection devices.
**Spacecraft operations:** Surface charging may occur on satellite components, drag may increase on low-Earth-orbit satellites, and corrections may be needed for orientation problems.
**Other systems:** Intermittent satellite navigation and low-frequency radio navigation problems may occur, HF radio may be intermittent, and aurora has been seen as low as Illinois and Oregon (typically 50° geomagnetic lat.).
??? warning "G2 (Moderate)"
* **Physical measure:** Kp = 6
* **Average Frequency:** 360 days per cycle (11 years)
**Power systems:** High-latitude power systems may experience voltage alarms, long-duration storms may cause transformer damage.
**Spacecraft operations:** Corrective actions to orientation may be required by ground control; possible changes in drag affect orbit predictions.
**Other systems:** HF radio propagation can fade at higher latitudes, and aurora has been seen as low as New York and Idaho (typically 55° geomagnetic lat.).
??? info "G1 (Minor)"
* **Physical measure:** Kp = 5
* **Average Frequency:** 900 days per cycle (11 years)
**Power systems:** Weak power grid fluctuations can occur.
**Spacecraft operations:** Minor impact on satellite operations possible.
**Other systems:** Migratory animals are affected at this and higher levels; aurora is commonly visible at high latitudes (northern Michigan and Maine).
### Solar Radiation Storms
??? danger "S5 (Extreme)"
* **Physical measure:** Flux level of $\ge 10 MeV$ particles = $10^5$
* **Average Frequency:** < 1 event per cycle (11 years)
**Biological:** Unavoidable high radiation hazard to astronauts on EVA (extra-vehicular activity); passengers and crew in high-flying aircraft at high latitudes may be exposed to radiation risk.
**Satellite operations:** Satellites may be rendered useless, memory impacts can cause loss of control, may cause serious noise in image data, star-trackers may be unable to locate sources; permanent damage to solar panels possible.
**Other systems:** Complete blackout of HF (high frequency) communications possible through the polar regions, and position errors make navigation operations extremely difficult.
??? danger "S4 (Severe)"
* **Physical measure:** Flux level of $\ge 10 MeV$ particles = $10^4$
* **Average Frequency:** 3 events per cycle (11 years)
**Biological:** Unavoidable radiation hazard to astronauts on EVA; passengers and crew in high-flying aircraft at high latitudes may be exposed to radiation risk.
**Satellite operations:** May experience memory device problems and noise on imaging systems; star-tracker problems may cause orientation problems, and solar panel efficiency can be degraded.
**Other systems:** Blackout of HF radio communications through the polar regions and increased navigation errors over several days are likely.
??? warning "S3 (Strong)"
* **Physical measure:** Flux level of $\ge 10 MeV$ particles = $10^3$
* **Average Frequency:** 10 events per cycle (11 years)
**Biological:** Radiation hazard avoidance recommended for astronauts on EVA; passengers and crew in high-flying aircraft at high latitudes may be exposed to radiation risk.
**Satellite operations:** Single-event upsets, noise in imaging systems, and slight reduction of efficiency in solar panel are likely.
**Other systems:** Degraded HF radio propagation through the polar regions and navigation position errors likely.
??? warning "S2 (Moderate)"
* **Physical measure:** Flux level of $\ge 10 MeV$ particles = $10^2$
* **Average Frequency:** 25 events per cycle (11 years)
**Biological:** Passengers and crew in high-flying aircraft at high latitudes may be exposed to elevated radiation risk.
**Satellite operations:** Infrequent single-event upsets possible.
**Other systems:** Small effects on HF propagation through the polar regions and navigation at polar cap locations possibly affected.
??? info "S1 (Minor)"
* **Physical measure:** Flux level of $\ge 10 MeV$ particles = $10$
* **Average Frequency:** 50 events per cycle (11 years)
**Biological:** None.
**Satellite operations:** None.
**Other systems:** Minor impacts on HF radio in the polar regions.
### Radio Blackouts
??? danger "R5 (Extreme)"
* **Physical measure:*** X20 ($2e^{-3} Wm^{-2}$)
* **Average Frequency:** < 1 days per cycle (11 years)
**HF Radio:** Complete HF (high frequency**) radio blackout on the entire sunlit side of the Earth lasting for a
number of hours. This results in no HF radio contact with mariners and en route aviators in this sector.
**Navigation:** Low-frequency navigation signals used by maritime and general aviation systems experience outages
on the sunlit side of the Earth for many hours, causing loss in positioning. Increased satellite navigation errors in
positioning for several hours on the sunlit side of Earth, which may spread into the night side.
*GOES X-ray peak brightness by class and by flux (measured in the 0.1-0.8 nm range, in W·m-2)
??? danger "R4 (Severe)"
* **Physical measure:*** X10 ($10^{-3} Wm^{-2}$)
* **Average Frequency:** 8 days per cycle (11 years)
**HF Radio:** HF radio communication blackout on most of the sunlit side of Earth for one to two hours. HF radio
contact lost during this time.
**Navigation:** Outages of low-frequency navigation signals cause increased error in positioning for one to two
hours. Minor disruptions of satellite navigation possible on the sunlit side of Earth.
*GOES X-ray peak brightness by class and by flux (measured in the 0.1-0.8 nm range, in W·m-2)
??? warning "R3 (Strong)"
* **Physical measure:*** X1 ($10^{-4} Wm^{-2}$)
* **Average Frequency:** 140 days per cycle (11 years)
**HF Radio:** Wide area blackout of HF radio communication, loss of radio contact for about an hour on sunlit side
of Earth.
**Navigation:** Low-frequency navigation signals degraded for about an hour.
*GOES X-ray peak brightness by class and by flux (measured in the 0.1-0.8 nm range, in W·m-2)
??? warning "R2 (Moderate)"
* **Physical measure:*** M5 ($5e^{-5} Wm^{-2}$)
* **Average Frequency:** 300 days per cycle (11 years)
**HF Radio:** Limited blackout of HF radio communication on sunlit side of the Earth, loss of radio contact for tens
of minutes.
**Navigation:** Degradation of low-frequency navigation signals for tens of minutes.
*GOES X-ray peak brightness by class and by flux (measured in the 0.1-0.8 nm range, in W·m-2)
??? info "R1 (Minor)"
* **Physical measure:*** M1 ($10^{-5} Wm^{-2}$)
* **Average Frequency:** 950 days per cycle (11 years)
**HF Radio:** Weak or minor degradation of HF radio communication on sunlit side of the Earth, occasional loss of
radio contact.
**Navigation:** Low-frequency navigation signals degraded for brief intervals.
*GOES X-ray peak brightness by class and by flux (measured in the 0.1-0.8 nm range, in W·m-2)
## 4. X-Ray Solar Activity
This is a summary of the **X-Ray Flare Class**. Large solar X-ray flares can change the Earths ionosphere, which blocks high-frequency (HF) radio transmissions on the sunlit side of the Earth. Solar flares are also associated with Coronal Mass Ejections (CMEs) which can ultimately lead to geomagnetic storms. SWPC sends out space weather alerts at the M5 level. Some large flares are accompanied by strong radio bursts that may interfere with other radio frequencies and cause problems for satellite communication and radio navigation (GPS).
| Class | Peak Strength (W/m<sup>2</sup>) | Effects on Earth |
|-------|---------------------------------|--------------------------------------------------------------|
| B | I < 10<sup>-6</sup> | Too small to harm Earth |
| C | 10<sup>-6</sup> ≤ I < 10<sup>-5</sup> | Small with few noticeable consequences |
| M | 10<sup>-5</sup> ≤ I < 10<sup>-4</sup> | Brief radio blackouts in polar regions, minor radiation storms |
| X | I ≥ 10<sup>-4</sup> | Planet-wide radio blackouts, long-lasting radiation storms |
## 5. RF Propagation
### Maximum Usable Frequency
In radio transmission, the maximum usable frequency (MUF) is the highest frequency that can be effectively used for communication between two locations on Earth by reflecting off the ionosphere (via skywave or skip) at a given time, regardless of the transmitter's power. This measurement is particularly valuable for shortwave transmissions.
### Earth-Moon-Earth
EarthMoonEarth communication (EME), commonly referred to as Moon bounce, is a radio communication method in which radio waves are transmitted from an Earth-based station, reflected off the Moon's surface, and then received back on Earth. The value gives the probability of a succesfull connection.
### Meteor Scatter
Meteor burst communications (MBC), also known as meteor scatter (MS) communications, is a radio propagation technique that uses the ionized trails created by meteors entering the atmosphere to establish brief communication links between radio stations up to 2,250 kilometers (1,400 miles) apart. This can involve either forward-scatter or back-scatter of the radio waves. Like EME, the value gives the probability of a succesfull connection.
### Sporadic-E
**Report of the latest E-skip spots on 50, 70 & 144 MHz by [DXrobot](https://dxrobot.gooddx.net/)**
Sporadic E (Es or SpE) is a rare type of radio propagation that uses a lower part of the Earth's ionosphere, which typically doesn't refract radio waves. It reflects signals off small "clouds" in the E region at altitudes of 95-150 km (50-100 miles). Unlike the regular F region skywave propagation, which depends on daily cycles of ionized layers from UV light, Sporadic E uses transient ionized patches. This allows for occasional long-distance VHF communication, usually during the six weeks around the summer solstice, beyond the normal line-of-sight range.
### Aurora Spots
**Report of the latest aurora spots on 50, 70 & 144 MHz by [DXrobot](https://dxrobot.gooddx.net/)**
Auroral propagation, or auroral backscatter, is a form of radio propagation that occurs during an auroral event, affecting VHF and UHF communications. Increased ionization in the E layer of the ionosphere reflects signals at much higher frequencies than usual, enabling communication up to 1000 MHz, though 500 MHz is more common. Signals are directed towards the auroral region and reflected back, but they are often distorted due to particle movement (the signal is roughly Doppler shifted of 1 kHz at around 150 MHz as the electrons stream down).
### Expected HF Noise
This is just the expected noise in HF based on the current Space Weather conditions.
## 6. Report Age
Poseidon Daemon is in charge of parse all the necessary data used for the Space Weather module. The data of the last generated report is written here.

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#
![sw_current](../assets/sw_3.webp)
The D-Region Absorption Product (DRAP) evaluates the effects of solar X-ray flux and solar energetic particle (SEP) events on HF radio communication. Long-distance communications using high frequency (HF) radio waves (3 - 30 MHz) rely on signal reflection in the ionosphere. Typically, radio waves reflect near the peak of the F2 layer (~300 km altitude), but during their journey to and from this peak, the signals experience attenuation due to absorption by the intervening ionosphere.
The [D-Region Absorption Prediction model](https://www.swpc.noaa.gov/products/d-region-absorption-predictions-d-rap) provides guidance to understand the degradation and blackouts of HF radio communications that can result from these conditions.

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#
![sw_current](../assets/sw_2.webp)
## 1. Forecast Summary
Geomagnetic activity, Solar Radiation Storms and Radio Blackouts probable events (in the next 3 days) are described in this section.
## 2. 3-Day Kp Index
This is a 3 day projection of the [Kp index](current.md).
## 3. Events Probability
The probability (in percentage) of different events that can take place and generate some important conditions for RF propagation. All the event are explained [here](current.md).
!!! info
Geomagnetic Activity has two percentual value per day: the left one refers to high-latitude location and the right one is for middle-latitude locations.

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# Sun Imagers
## Atmospheric Imagery Assembly
### 94 Å
This channel (as well as AIA 131) is designed to study solar flares. It measures extremely hot temperatures around 6 million Kelvin (10.8 million F). It can take images every 2 seconds (instead of 10) in a reduced field of view in order to look at flares in more detail.
- **Where:** Flaring regions of the corona
- **Wavelength:** 94 angstroms (0.0000000094 m) = Extreme Ultraviolet/soft X-rays
- **Primary ions seen:** 17 times ionized iron (Fe XVIII)
- **Characteristic temperature:** 6 million K (10.8 million F)
### 131 Å
This channel (as well as AIA 094) is designed to study solar flares. It measures extremely hot temperatures around 10 million K (18 million F), as well as cool plasmas around 400,000 K (720,000 F). It can take images every 2 seconds (instead of 10) in a reduced field of view in order to look at flares in more detail.
- **Where:** Flaring regions of the corona
- **Wavelength:** 131 angstroms (0.0000000131 m) = Extreme Ultraviolet
- **Primary ions seen:** 20 and 7 times ionized iron (Fe VIII, Fe XXI)
- **Characteristic temperatures:** 10 million K (18 million F)
### 171 Å
This channel is especially good at showing coronal loops - the arcs extending off of the Sun where plasma moves along magnetic field lines. The brightest spots seen here are locations where the magnetic field near the surface is exceptionally strong.
- **Where:** Quiet corona and upper transition region
- **Wavelength:** 171 angstroms (0.0000000171 m) = Extreme Ultraviolet
- **Primary ions seen:** 8 times ionized iron (Fe IX)
- **Characteristic temperature:** 1 million K (1.8 million F)
### 193 Å
This channel highlights the outer atmosphere of the Sun - called the corona - as well as hot flare plasma. Hot active regions, solar flares, and coronal mass ejections will appear bright here. The dark areas - called coronal holes - are places where very little radiation is emitted, yet are the main source of solar wind particles.
- **Where:** Corona and hot flare plasma
- **Wavelength:** 193 angstroms (0.0000000193 m) = Extreme Ultraviolet
- **Primary ions seen:** 11 times ionized iron (Fe XII)
- **Characteristic temperature:** 1.25 million K (2.25 million F)
### 303 Å
This channel is especially good at showing areas where cooler dense plumes of plasma (filaments and prominences) are located above the visible surface of the Sun. Many of these features either can't be seen or appear as dark lines in the other channels. The bright areas show places where the plasma has a high density.
- **Where:** Upper chromosphere and lower transition region
- **Wavelength:** 304 angstroms (0.0000000304 m) = Extreme Ultraviolet
- **Primary ions seen:** singly ionized helium (He II)
- **Characteristic temperature:** 50,000 K (90,000 F)
### 335 Å
This channel (as well as AIA 211) highlights the active region of the outer atmosphere of the Sun - the corona. Active regions, solar flares, and coronal mass ejections will appear bright here. The dark areas - or coronal holes - are places where very little radiation is emitted, yet are the main source of solar wind particles.
- **Where:** Active regions of the corona
- **Wavelength:** 335 angstroms (0.0000000335 m) = Extreme Ultraviolet
- **Primary ions seen:** 15 times ionized iron (Fe XVI)
- **Characteristic temperature:** 2.8 million K (5 million F)
### 1600 Å
This channel (as well as AIA 1700) often shows a web-like pattern of bright areas that highlight places where bundles of magnetic fields lines are concentrated. However, small areas with a lot of field lines will appear black, usually near sunspots and active regions.
- **Where:** Transition region and upper photosphere
- **Wavelength:** 1600 angstroms (0.00000016 m) = Far Ultraviolet
- **Primary ions seen:** thrice ionized carbon (C IV) and Continuum
- **Characteristic temperatures:** 6,000 K (11,000 F), and 100,000 K (180,000 F)
### 1700 Å
This channel (as well as AIA 1600) often shows a web-like pattern of bright areas that highlight places where bundles of magnetic fields lines are concentrated. However, small areas with a lot of field lines will appear black, usually near sunspots and active regions.
- **Where:** Temperature minimum and photosphere
- **Wavelength:** 1700 angstroms (0.00000017 m) = Far Ultraviolet
- **Primary ions seen:** Continuum
- **Characteristic temperature:** 6,000 K (11,000 F)
## Helioseismic and Magnetic Imager
### Magnetogram
Magnetograms show maps of the magnetic field on the Suns surface. The HMI instrument uses the Zeeman effect to measure the intensity of the magnetic field component along the line of sight by making use of the circularly polarized spectral line. The color chart of the magnetic field along the line of sight is designed to visually show both high and low values. Intensities less than 24G are shades of gray. Positive values of the field are green and blue. Negative values are yellow and red. Regions with a weak field appear mainly in yellow or green. Progressively positive values range from dark green to light green (at 236 G). Negative values range from light yellow to orange (at -236G). There is a strong discontinuity in the coloration at 236G. Positive or negative sunspots and other regions with an intense field appear blue or red with dark umbrae. There are 254 colors arranged symmetrically around 0. The 127 positive values include 2 grays tending toward dark, 13 greens toward light, and 110 blues toward dark. The 127 negative values include 2 grays tending toward light, 18 yellows toward dark, and 107 reds toward dark. Nominally, each color indicates a range of about 11.81 G, and the coloration altogether spans the range between -1500 G and 1500 G
### Intensitygram
HMI samples the Fe I absorption line at 6173.3 Å at six points, assuming that the "pure" profile of the Fe I line is Gaussian and the transmission profiles are delta functions, the first and second Fourier coefficients of the Fe I line profile can be calculated, and Doppler velocity estimation can be performed. An estimate of the intensity in the continuum is obtained by "reconstructing" the solar line from the Doppler offset and the thickness and depth of the line.
### Dopplergram
HMI camera 2 takes 72 images to construct a single Doppler diagram. Six images are taken at six positions across the spectral line at 6173.3 Å. Each image is taken in two polarization states, circularly polarized to the right (RCP or Stokes I-V) and circularly polarized to the left (LCP or Stokes I+V). Assuming that the absorption line is Gaussian and the transmission profiles of the HMI filter are delta functions, Fourier coefficients are calculated and then used to estimate the magnetic field B along the line of sight.
## Large Angle and Spectrometric Coronagraph
### LASCO C1 (NOT AVAILABLE)
A FabryPérot interferometer coronagraph imaging from 1.1 to 3 solar radii, non-functional since the 24 June 1998 SOHO Mission Interruption
### LASCO C2 (orange)
A white light coronagraph imaging from 1.5 to 6 solar radii
### LASCO C3 (blue)
A white light coronagraph imaging from 3.7 to 30 solar radii

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