| 1 |
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| 2 | # Local Config Settings
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| 3 |
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| 4 | Open in a text editor, for example:
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| 5 |
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| 6 | emacs _local_prepare_config.sh
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| 7 |
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| 8 | review and edit appropriately.
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| 9 |
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| 10 | If you plan to use the Spotify based 'Track a' for MIR-based features,
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| 11 | then create an appropriate Spotify API credentials through:
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| 12 |
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| 13 | https://developer.spotify.com/dashboard/applications
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| 14 |
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| 15 | Otherwise you can use 'Track b' which -- proxied through the
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| 16 | eurovisionworld.com fan web site -- page scrapes YouTube content of
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| 17 | the songs, and then goes through a process using ffmpeg and essentia
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| 18 | to generate audio features. No key setup is needed if Track b.
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| 19 |
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| 20 |
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| 21 | # Setup a Virtual Python3 Environment
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| 22 |
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| 23 | Next create a virtual Python environment:
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| 24 |
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| 25 | ./CREATE-VENV-PYTHON3.sh my-python3-dev
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| 26 |
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| 27 | And then install required Python packages:
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| 28 |
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| 29 | * For processing Excel Voting data spreadsheet
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| 30 | pip3 install openpyxl
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| 31 |
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| 32 | * For parsing Wikipeida pages for missing category entries
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| 33 | pip3 install wikipedia beautifulsoup4
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| 34 |
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| 35 | * For Spotify/MusicBrainz musically computed audio content (Track 'a')
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| 36 | pip3 install -r spotify-musicbrainz/requirements.txt
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| 37 |
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| 38 | * For Essentia Audio Features (Track 'b')
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| 39 |
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| 40 | git clone https://github.com/davidbwaikato/eurovision-dataset essentia-audio-features
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| 41 |
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| 42 | pip3 install -r essentia-audio-features/requirements.txt
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| 43 |
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| 44 | # One-time Errata Triplestore Setup
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| 45 |
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| 46 | The (personal) convention of using ALL-CAPS is to signify that these
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| 47 | scripts can be run without any arguments and they will do something
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| 48 | meaningful, with the caveat that the current working directory must be
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| 49 | the directory where the scripts are located.
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| 50 |
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| 51 | Below you will learn about the sequence of 'prepare' scripts that
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| 52 | reach out to external resoures -- initially Linked Data through
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| 53 | DBpedia, but then topped up with some page scraping -- but first a
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| 54 | local (Greenstone3) triple store graph needs to set up with some
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| 55 | errata values that help the SPARQL query run against DBpedia to yield
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| 56 | more accurate results.
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| 57 |
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| 58 | Check your Greenstone3 Triplestore server is running:
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| 59 |
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| 60 | sudo systemctl status greenstone3-triplestore
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| 61 |
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| 62 | Then run:
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| 63 |
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| 64 | ./UPLOAD-TTL-EUROVISION-ERRATA-GRAPH.sh
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| 65 |
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| 66 | This currently talks to the Apache Jena v1 Triplestore version that the
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| 67 | Greenstone3 extension operates on port 3030
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| 68 |
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| 69 |
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| 70 | # Running the 'prepare' ALL-CAPS scripts
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| 71 |
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| 72 |
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| 73 | The prefix to the scripts to run are sequentially numbers 01-...,
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| 74 | 02-... and so on.
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| 75 |
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| 76 |
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| 77 | To aid development and testing, there is a 'small' set of files that
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| 78 | can be prepared, based on only the Eurovision entries for 2015.
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| 79 |
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| 80 | You can run all the steps to generate the small version with:
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| 81 |
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| 82 | ./PREPARE-ALL-SMALL.sh
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| 83 |
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| 84 | Or else generate the data for the full collection with
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| 85 |
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| 86 | ./PREPARE-ALL.sh
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| 87 |
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| 88 | Look inside the scripts, and copy and paste just the bits you want to
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| 89 | run smaller segements of the prepare process.
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| 90 |
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| 91 | With the a complete run through done, move up one directory to the
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| 92 | main collection directory and build the collection.
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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