Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license
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"""Status dashboards, Markdown reports, human-task digest, and Google Sheets row export."""
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from __future__ import annotations
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import brokers as brokers_mod
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import ledger as ledger_mod
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STATE_LABELS = {
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"new": "Not started",
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"searching": "Searching",
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"not_found": "Not found",
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"found": "Found (action needed)",
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"indirect_exposure": "Indirect exposure (PII on a relative's record)",
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"action_selected": "Action selected",
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"submitted": "Submitted",
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"verification_pending": "Awaiting verification",
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"awaiting_processing": "Processing",
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"confirmed_removed": "Removed",
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"reappeared": "Reappeared",
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"human_task_queued": "Human task",
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"blocked": "Blocked",
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}
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def status_counts(subject_id: str) -> dict:
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counts: dict[str, int] = {}
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for case in ledger_mod.load(subject_id).values():
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state = case.get("state", "new")
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counts[state] = counts.get(state, 0) + 1
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return counts
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def metrics(subject_id: str) -> dict:
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"""Outcome metrics: what's actually confirmed vs merely claimed, and what's overdue.
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removal_rate is confirmed_removed over cases we actually acted on (found/submitted/... ),
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NOT over the whole broker DB, so it reflects real progress on real exposure. `in_flight`
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is 'claimed' (submitted/verifying/processing) but not yet re-scan-confirmed. `overdue`
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counts cases whose recheck window has already passed (the cron backlog).
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"""
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c = status_counts(subject_id)
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removed = c.get("confirmed_removed", 0)
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in_flight = c.get("submitted", 0) + c.get("verification_pending", 0) + c.get("awaiting_processing", 0)
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open_found = c.get("found", 0) + c.get("reappeared", 0) + c.get("action_selected", 0) \
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+ c.get("indirect_exposure", 0)
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acted = removed + in_flight + open_found + c.get("human_task_queued", 0) + c.get("blocked", 0)
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return {
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"confirmed_removed": removed,
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"in_flight_claimed": in_flight, # submitted but NOT yet verified gone
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"open_needs_action": open_found,
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"blocked": c.get("blocked", 0),
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"human_tasks": c.get("human_task_queued", 0),
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"acted_total": acted,
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"removal_rate": round(removed / acted, 3) if acted else 0.0,
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"overdue_rechecks": len(ledger_mod.due(subject_id)),
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}
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def render_markdown(subject_id: str) -> str:
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ledger = ledger_mod.load(subject_id)
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counts = status_counts(subject_id)
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total = sum(counts.values())
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removed = counts.get("confirmed_removed", 0)
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m = metrics(subject_id)
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lines = [
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f"# unbroker - status for `{subject_id}`",
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"",
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f"**{removed} / {total} confirmed removed** · removal rate (of acted-on cases): "
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f"{int(m['removal_rate'] * 100)}%",
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"",
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f"- Confirmed removed: {m['confirmed_removed']}",
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f"- In flight (submitted, not yet re-scan-confirmed): {m['in_flight_claimed']}",
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f"- Open / needs action: {m['open_needs_action']}",
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f"- Blocked (anti-bot): {m['blocked']} · Human tasks: {m['human_tasks']}",
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f"- Overdue rechecks (cron backlog): {m['overdue_rechecks']}",
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"",
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"| State | Count |",
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"|---|---|",
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]
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for state in ledger_mod.STATES:
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if counts.get(state):
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lines.append(f"| {STATE_LABELS.get(state, state)} | {counts[state]} |")
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tasks = [c for c in ledger.values() if c.get("state") == "human_task_queued"]
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if tasks:
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lines += ["", "## Outstanding human tasks"]
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for c in tasks:
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reason = c.get("human_task_reason", "manual step required")
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lines.append(f"- **{c.get('broker_id')}** - {reason}")
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indirect = [c for c in ledger.values() if c.get("state") == "indirect_exposure"]
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if indirect:
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lines += ["", "## Indirect exposure (your PII on third-party records)",
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"Not removable via the broker's self-service opt-out (the record is about someone "
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"else). Lever: a targeted CCPA/GDPR delete-my-PII request naming only your own "
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"identifiers."]
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for c in indirect:
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ev = c.get("evidence") or {}
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note = ev.get("summary") or "subject's identifiers appear on another person's listing"
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lines.append(f"- **{c.get('broker_id')}** - {note}")
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return "\n".join(lines) + "\n"
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def human_tasks_markdown(subject_id: str) -> str:
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"""ONE consolidated digest of everything that genuinely needs a human.
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The autonomous run accumulates human-only work silently (never interrupting);
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this digest is presented once, at the end, so the operator clears it in a
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single sitting. Includes queued tasks and blocked-site operator-browser checks.
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"""
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ledger = ledger_mod.load(subject_id)
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tasks = [(bid, c) for bid, c in sorted(ledger.items()) if c.get("state") == "human_task_queued"]
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blocked = [(bid, c) for bid, c in sorted(ledger.items()) if c.get("state") == "blocked"]
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lines = [f"# Human tasks for `{subject_id}`", ""]
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if not tasks and not blocked:
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lines.append("Nothing needs a human right now.")
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return "\n".join(lines) + "\n"
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lines.append(f"{len(tasks)} manual step(s) + {len(blocked)} blocked site(s). "
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"Everything else ran (or will run) autonomously.")
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if tasks:
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lines += ["", "## Manual steps"]
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for bid, c in tasks:
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b = brokers_mod.get(bid) or {}
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opt = b.get("optout") or {}
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lines.append(f"### {b.get('name', bid)}")
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lines.append(f"- Why: {c.get('human_task_reason', 'manual step required')}")
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where = opt.get("url") or opt.get("email") or "(see broker record)"
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lines.append(f"- Where: {where}")
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for q in (opt.get("quirks") or [])[:2]:
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lines.append(f"- Note: {q}")
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lines.append("- Withhold: SSN and full ID numbers - always.")
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lines.append(f"- When done, tell the agent so it records the outcome for `{bid}`.")
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if blocked:
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lines += ["", "## Blocked sites (open in YOUR browser - it gets through where bots don't)"]
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for bid, c in blocked:
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b = brokers_mod.get(bid) or {}
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url = ((b.get("search") or {}).get("url")) or "(see broker record)"
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lines.append(f"- **{b.get('name', bid)}** - open {url}, search the subject, and report "
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"the verdict (or a screenshot) back to the agent.")
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return "\n".join(lines) + "\n"
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def sheets_rows(subject_id: str) -> list[list[str]]:
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"""Header + one row per case for the optional Google Sheets tracker.
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The agent appends these via the `google-workspace` skill, e.g.:
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google_api.py sheets append <SHEET_ID> "Sheet1!A:F" --values <json-rows>
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"""
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rows = [["broker_id", "state", "found", "tier", "removed_at", "next_recheck"]]
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for bid, c in sorted(ledger_mod.load(subject_id).items()):
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rows.append([
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bid,
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c.get("state", ""),
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str(c.get("found", "")),
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(c.get("automation") or {}).get("tier_used", ""),
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c.get("removal_confirmed_at") or "",
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c.get("next_recheck_at") or "",
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])
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return rows
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