a93cb06898
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Given a YouTube video ID or URL, runs the same caption-extraction +
LLM-analysis pipeline the watcher uses in prod, then prints the
extracted tickers + actions sorted by action priority and conviction
descending. No DB writes, no Redis publish — strictly observational.
Two entry points:
- scripts/analyze_kevin_video.py — pure Python; needs yt-dlp +
Anthropic OAuth token in env. Local laptop yt-dlp tends to hit
"Sign in to confirm you're not a bot" rate-limits; running inside
a cluster pod avoids this.
- scripts/kevin-analyze.sh — wrapper that finds the running
trading-bot-workers pod and execs the Python script in the
meet-kevin-watcher container. Easiest invocation.
Example:
$ ./scripts/kevin-analyze.sh poUJIZRmFew
=== Meet Kevin analysis — poUJIZRmFew ===
Market outlook: bullish
TICKERS (12):
SYMBOL ACTION CONV HORIZON RATIONALE
APPF buy 85.0% long_term Apploven's looking fantastic ...
SOX buy 80.0% months Semiconductor ETF momentum ...
...
27 lines
735 B
Bash
Executable file
27 lines
735 B
Bash
Executable file
#!/usr/bin/env bash
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# Ad-hoc Meet Kevin video analyzer wrapper.
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#
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# Usage:
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# ./scripts/kevin-analyze.sh <video-id-or-url>
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#
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# Picks the running meet-kevin-watcher container (which already has
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# yt-dlp + ffmpeg + the Anthropic token + the right Python env) and
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# runs scripts/analyze_kevin_video.py inside it.
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set -euo pipefail
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if [[ $# -ne 1 ]]; then
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echo "usage: $0 <youtube-video-id-or-url>" >&2
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exit 1
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fi
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POD=$(kubectl -n trading-bot get pod -l app=trading-bot-workers \
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-o jsonpath='{.items[0].metadata.name}')
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if [[ -z "$POD" ]]; then
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echo "no trading-bot-workers pod found" >&2
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exit 1
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fi
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exec kubectl -n trading-bot exec "$POD" -c meet-kevin-watcher -- \
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python -m scripts.analyze_kevin_video "$1"
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