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https://github.com/vitorpamplona/amethyst.git
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Claude
dc43b6ab67
Crawled 743 of 5,846 reachable relays with amy for events signed 2026-10-07..08: 2.36M events, 573 kinds, 386 without a typed quartz class. Adds the crawl/harvest/profile scripts, the kind histogram, the per-kind profiles and researched findings (what each kind is, spec/source, relevance to Amethyst). Raw samples stay local: they hold third-party personal data. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FrQx1ZvQka64aFAnZM1Hjd
43 lines
2.3 KiB
Python
43 lines
2.3 KiB
Python
#!/usr/bin/env python3
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"""Render data/<date>/findings.json as FINDINGS.md. usage: findings_md.py DATA_DIR"""
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import json, os, sys
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d = sys.argv[1]
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f = json.load(open(os.path.join(d, "findings.json")))
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order = {"render-worthy": 0, "protocol-infra": 1, "app-private": 2, "spam/noise": 3}
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out = ["# Unsupported kinds: findings", "",
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"Generated from `findings.json` by `findings_md.py`. Kinds with 3+ distinct authors in the "
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"window, grouped by relevance to Amethyst, then by author count. Samples: `samples/kind-<K>.jsonl`.",
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"Author counts overstate real users where an app signs with throwaway keys (noted per kind).", ""]
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def cell(s):
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return (s or "").replace("|", "\\|").replace("\n", " ")
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for rel in sorted({x["amethyst_relevance"] for x in f["identified"]}, key=lambda r: order.get(r, 9)):
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rows = [x for x in f["identified"] if x["amethyst_relevance"] == rel]
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out += [f"## {rel} ({len(rows)})", "", "| kind | class | authors | events | name | app / protocol | conf | spec |",
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"|---|---|---|---|---|---|---|---|"]
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for x in sorted(rows, key=lambda x: -(x["authors"] or 0)):
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spec = f"[link]({x['spec_url']})" if x.get("spec_url") else ""
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out.append(f"| {x['kind']} | {x['class']} | {x['authors']} | {x['events']} | {cell(x['name'])} | "
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f"{cell(x['app_or_protocol'])} | {x['confidence']} | {spec} |")
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out.append("")
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for x in sorted(rows, key=lambda x: -(x["authors"] or 0)):
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out.append(f"- **{x['kind']} {cell(x['name'])}** — {cell(x['what_it_is'])}"
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+ (f" _Notes:_ {cell(x['notes'])}" if x.get("notes") else ""))
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out.append("")
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lt = f["long_tail"]
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out += ["## Long tail (1-2 authors per kind)", "", "### Notable", "",
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"| kind | name | app / protocol | relevance | conf |", "|---|---|---|---|---|"]
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for x in lt["notable"]:
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out.append(f"| {x['kind']} | {cell(x['name'])} | {cell(x.get('app_or_protocol'))} | "
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f"{x.get('amethyst_relevance', '')} | {x.get('confidence', '')} |")
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out += ["", "### Clusters", "", "| label | kinds | relevance | what it is |", "|---|---|---|---|"]
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for c in lt["clusters"]:
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out.append(f"| {cell(c['label'])} | {', '.join(map(str, c['kinds']))} | {c['relevance']} | {cell(c['what_it_is'])} |")
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open(os.path.join(d, "FINDINGS.md"), "w").write("\n".join(out) + "\n")
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print("wrote", os.path.join(d, "FINDINGS.md"))
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