Generate Bloom Filters #1000
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| # Generate Bloom filters with submitted Hacker News stories periodically and | |
| # on-command for use in the accompanying browser extension. | |
| # | |
| # Created by Jacob Strieb | |
| # January 2021 | |
| name: Generate Bloom Filters | |
| # Run once every 24 hours because the BigQuery database is updated once every | |
| # 24 hours. Also run when manually triggered. | |
| on: | |
| schedule: | |
| # This time is based loosely around when the BigQuery data updates | |
| - cron: "5 16 * * *" | |
| workflow_dispatch: | |
| jobs: | |
| create-bloomfilter: | |
| name: Create Bloom Filters | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Install dependencies | |
| run: | | |
| sudo apt-get install jo | |
| - uses: actions/checkout@v2 | |
| - name: Set up BigQuery | |
| run: | | |
| # This BQ_JSON key is obtained by downloading the JSON key for a | |
| # service account on BigQuery. It is then copied directly into a | |
| # GitHub Actions secret (under Settings) | |
| echo '${{ secrets.BQ_JSON }}' > bq.json | |
| gcloud auth \ | |
| activate-service-account \ | |
| --key-file bq.json | |
| # Unfortunately, bq outputs some dumb shit the first time we run it | |
| # with the new authentication, so we do a dummy call here to prevent | |
| # it from outputting the annoying welcome message directly into the | |
| # CSV we are attempting to process | |
| bq query \ | |
| --use_legacy_sql=false \ | |
| 'SELECT COUNT(*) FROM `bigquery-public-data.hacker_news.full` | |
| WHERE type = "story"' | |
| - name: Compile Bloom filter creation program | |
| run: | | |
| make create | |
| - name: Pull BigQuery data | |
| run: | | |
| # Note that max_rows must be an unsigned, 32-bit int | |
| bq query \ | |
| --format csv \ | |
| --max_rows 99999999 \ | |
| --use_legacy_sql=false \ | |
| 'SELECT | |
| url, | |
| score, | |
| descendants, | |
| time | |
| FROM | |
| `bigquery-public-data.hacker_news.full` | |
| WHERE | |
| type = "story" | |
| AND dead IS NOT TRUE | |
| AND deleted IS NOT TRUE | |
| AND url != ""' \ | |
| > data.csv | |
| head -n 50 data.csv | |
| # Put the data in a sqlite3 database | |
| sqlite3 \ | |
| data.db \ | |
| ".mode csv" \ | |
| ".import data.csv hn" | |
| - name: Generate Bloom Filters | |
| run: | | |
| # Get the time of the last submission | |
| LATEST=$(sqlite3 \ | |
| -csv \ | |
| data.db \ | |
| "SELECT CAST(time AS INT) AS inttime | |
| FROM hn ORDER BY inttime DESC LIMIT 1") | |
| # TODO: Make this accurate -- not sure why but it's inaccurate now | |
| printf \ | |
| "Last story submitted %d hours ago\n" \ | |
| $((($(date +%s) - LATEST) / 3600)) | |
| # Generate one Bloom filter for each date range/threshold combination | |
| # Used as sqlite3 date modifiers: | |
| # https://sqlite.org/lang_datefunc.html | |
| DATE_RANGES=( | |
| # "-1 month" | |
| "-7 days" | |
| "-24 hours" | |
| ) | |
| THRESHOLDS=( | |
| 0 | |
| 10 | |
| 75 | |
| 250 | |
| 500 | |
| ) | |
| # Apply the threshold to points (score) or comments (descendants) | |
| THRESHOLD_KEY="score" | |
| mkdir generated | |
| for THRESHOLD in "${THRESHOLDS[@]}"; do | |
| FILENAME="hn-$THRESHOLD.bloom" | |
| # Make a Bloom filter for each threshold with no time restriction | |
| echo "Creating bloom filter for stories from all time and" \ | |
| "$THRESHOLD+ $THRESHOLD_KEY. Writing to $FILENAME..." | |
| sqlite3 \ | |
| -header \ | |
| -csv \ | |
| data.db \ | |
| "SELECT * FROM hn | |
| WHERE CAST($THRESHOLD_KEY AS INT) >= $THRESHOLD" \ | |
| | python3 canonicalize.py \ | |
| | bin/bloom-create "generated/$FILENAME" | |
| # For the current threshold, make a bloom filter for each date range | |
| for DATE_RANGE in "${DATE_RANGES[@]}"; do | |
| DATE_RANGE_STR="$(echo $DATE_RANGE | sed 's/[- ]//g')" | |
| FILENAME="hn-$DATE_RANGE_STR-$THRESHOLD.bloom" | |
| echo "Creating bloom filter for $DATE_RANGE and" \ | |
| "$THRESHOLD+ $THRESHOLD_KEY. Writing to $FILENAME..." | |
| sqlite3 \ | |
| -header \ | |
| -csv \ | |
| data.db \ | |
| "SELECT * FROM hn | |
| WHERE CAST($THRESHOLD_KEY AS INT) >= $THRESHOLD | |
| AND CAST(time AS INT) > strftime('%s', ( | |
| SELECT CAST(time AS INT) AS inttime FROM hn | |
| ORDER BY inttime DESC LIMIT 1 | |
| ), 'unixepoch', '$DATE_RANGE')" \ | |
| | python3 canonicalize.py \ | |
| | bin/bloom-create "generated/$FILENAME" | |
| done | |
| done | |
| # Output a JSON file with information about the thresholds and dates | |
| # | |
| # TODO: Fix to use $LATEST instead of now | |
| DATES=() | |
| for DATE_RANGE in "${DATE_RANGES[@]}"; do | |
| DATE_RANGE_STR="$(echo $DATE_RANGE | sed 's/[- ]//g')" | |
| DATE="$(date -d "now ""$DATE_RANGE" +%s)" | |
| DATES+=("$DATE=$DATE_RANGE_STR") | |
| done | |
| # 24 hours used in next_generated since this runs every 24 hours and | |
| # takes 10 to 20 minutes to complete | |
| jo \ | |
| -p \ | |
| thresholds=$(jo -a "${THRESHOLDS[@]}") \ | |
| dates=$(jo "${DATES[@]}") \ | |
| version="0.6" \ | |
| compressed="true" \ | |
| date_generated="$(date +%s)" \ | |
| next_generated="$(date -d "now +24 hours +20 minutes" +%s)" \ | |
| last_submitted="$(sqlite3 \ | |
| -csv \ | |
| data.db \ | |
| "SELECT CAST(time AS INT) AS inttime | |
| FROM hn ORDER BY inttime DESC LIMIT 1")" \ | |
| > generated/info.json | |
| - name: Create Release | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| run: | | |
| cd generated | |
| # Keep the latest extension in the next release | |
| curl \ | |
| --location \ | |
| --output "hackernews-button.xpi" \ | |
| "https://github.com/jstrieb/hackernews-button/releases/latest/download/hackernews-button.xpi" | |
| # TODO: Fix fatal name collision failure if run more than once a day? | |
| gh release create \ | |
| "$(date +%Y%m%d)" \ | |
| --title "$(date '+%b %d, %Y') Bloom filters" \ | |
| --notes "Updated Bloom filters for Hacker News submitted stories for $(date '+%B %d, %^Y')" \ | |
| * |