{"task_id":"st_01a0562f","status":"completed","residency_state":"evicted","parent_session_id":"01a04e1a-4e0a-7c69-845d-0b5d1e71f82d","root_session_id":"01a04e1a-4e0a-7c69-845d-0b5d1e71f82d","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-31T04:56:38.793Z","updated_at":"2026-09-01T13:05:52.180Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"onboarding-safety-audit","task_summary":"Audit reduced questionnaire safety","description":"onboarding-safety-audit","category":"deep","requested_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"openai-codex/gpt-5.6-sol","source":"category","variant":"medium","reasoning_effort":"medium"},"fallback_models":[{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-pro","display":"clinepass/cline-pass/deepseek-v4-pro","source":"category","variant":"medium","reasoning_effort":"medium"},{"provider":"clinepass","model_id":"cline-pass/glm-5.2","display":"clinepass/cline-pass/glm-5.2","source":"category","variant":"medium","reasoning_effort":"medium"}],"resolved_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"GPT-5.6 Sol","source":"category","variant":"medium","reasoning_effort":"medium"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Audit the nutrition onboarding safety/data model in /home/cube/projects/richard/.worktrees/nutricoach-v150-combined. Focus on whether reducing/merging 22 questions can preserve NutritionOnboardingBaseline, safety holds, calorie calculations, revisions, replay, and active customer compatibility. Propose failing tests that prove no customer can get stuck, including maintain/loss/gain, age privacy, meal count 1 and 7+, optional skips, legacy sessions. Read-only.\n\n<Category_Context name=\"deep\">\nYou are operating in DEEP mode. This is the category reserved for goal-oriented autonomous work on hairy problems that reward thorough exploration and comprehensive solutions.\n\nThe orchestrator chose this category because the task benefits from depth over speed. You should feel empowered to spend the time needed: five to fifteen minutes of silent exploration before the first edit is normal and correct. Rushing to implementation on a deep task is a failure mode, not a feature.\n\n# How deep mode adjusts the base behavior\n\n**Exploration budget: generous.** Read the files you need, trace dependencies both directions, fire 2-5 explore/librarian sub-agents in parallel for broader questions. Build a complete mental model before the first `apply_patch`. Exploration here is an investment, not overhead.\n\n**Goal, not plan.** You receive a GOAL describing the desired outcome. You figure out HOW to achieve it. The orchestrator deliberately did not hand you a step-by-step plan; producing one and asking for approval is not what was asked. Execute.\n\n**Atomic task treatment.** When the goal contains numbered steps or phases, treat them as sub-steps of ONE task and execute them all in this turn. Splitting them across turns is wrong unless they reveal an architectural blocker that requires the user's input. If the \"steps\" turn out to be genuinely independent tasks that should have been separate delegations, flag that in your final message and refuse the ones beyond scope.\n\n**Root cause bias.** Prefer root-cause fixes over symptom fixes. A null check around `foo()` is a symptom fix; fixing whatever causes `foo()` to return unexpected values is the root fix. Trace at least two levels up before settling on an answer. In deep mode, you have permission (and the expectation) to do the deeper fix.\n\n**Ambition scaled to context.** For brand-new greenfield work, be ambitious. Choose strong defaults, avoid AI-slop aesthetics, produce something you would be proud to hand to another senior engineer. For changes in an existing codebase, be surgical and respect the existing patterns; depth does not mean invasiveness.\n\n**Completion bar: full delivery.** \"Simplified version\", \"proof of concept\", and \"you can extend this later\" are not acceptable deliveries for a deep task. The orchestrator routed here specifically for a complete solution. If you hit a genuine blocker (missing secret, design decision only the user can make, three materially different attempts all failed), document it and return; otherwise, finish the task.\n\n**Status cadence: sparse.** The user is not on the other side of this conversation; the orchestrator is, and they will synthesize your progress. Send commentary only at meaningful phase transitions (starting exploration, starting implementation, starting verification, hitting a genuine blocker). Do not narrate every tool call; silence during focused work is expected.\n</Category_Context>"},"host_pid":1353625,"final_response":"I read this as a read-only safety/data-model audit - I traced the canonical schema, runtime flow, persistence, replay, revisions, calculations, and compatibility boundaries.\n\n## Verdict\n\nThe 22 customer prompts can be reduced or merged, but **not by shrinking or reordering `QUESTION_FIELDS` in place**. That tuple is simultaneously:\n\n- Canonical answer order\n- Persisted cursor interpretation\n- Reconciliation issue order\n- Revision addressing\n- Progress/replay semantics\n\nA shorter UX needs a versioned presentation layer that expands each screen atomically into the unchanged canonical baseline fields.\n\n## Critical findings\n\n1. **Meal-count contracts already conflict**\n   - Onboarding and `CustomerProfile`: `2..6`  \n     `nutrition_onboarding_models.py:190`, `customer_coaching.py:904`\n   - Adaptive registration: `1..8`  \n     `customer_coaching.py:821`, `customer_admin.py:3721`\n   - The parser accepts 1, 7, and 8, but reconciliation rejects them. Customers repeatedly receive clarification with no valid representation of their actual schedule.\n   - All three contracts must converge, preferably on `1..8`.\n\n2. **The privacy “decline” choice cannot complete onboarding**\n   - `EquationSexBasis.DECLINE` is advertised and accepted.\n   - Calculation then raises `CalculationDeclinedError`: `nutrition_onboarding_calculations.py:175`.\n   - Owner preflight catches it only as generic `ValueError`; the owner remains at review without an actionable revision button. Publication renders Approve/Reject/Safety Hold, not `op_rev`: `telegram_nutrition_onboarding_runtime_publication.py:371-378`.\n   - Either provide an approved non-sex-based calculation path or do not present decline as a completable choice.\n\n3. **Raw DOB and sensitive answers survive successful completion**\n   - Canonical `NutritionOnboardingBaseline` correctly discards DOB.\n   - However, `baseline-candidate.json` stores complete `source_answers`, including DOB and medical answers: `nutrition_onboarding.py:241-260`.\n   - Finalization deletes only `workflow.json`, not `baseline-candidate.json`: `nutrition_onboarding_finalize_service.py:58`.\n   - Persist only derived `adult_age`, reference date, canonical digest, and safety disposition after attestation/finalization. Remove plaintext source answers when no longer needed.\n\n4. **Optional cooking/budget skips conflict with downstream activation**\n   - Runtime permits empty defaults for cooking and budget.\n   - Adaptive registration later requires both to be non-empty and exactly match the onboarding profile: `customer_admin.py:3728-3730`, `3816+`.\n   - A customer can finish onboarding yet become impossible to register adaptively. Either these fields are genuinely optional downstream, or onboarding must collect an explicit usable value.\n\n5. **Changing the field tuple strands legacy sessions**\n   - Persisted sessions contain only a positional cursor; no questionnaire version.\n   - `submit_answer`, status, rewind, and revision index directly into current `QUESTION_FIELDS`: `nutrition_onboarding.py:204-212`, `316`.\n   - Treat missing `questionnaire_version` as `legacy_22_v1`; never reinterpret its cursor using a new screen list.\n\n6. **Revision semantics are tied to the old 22-step sequence**\n   - `_reopen_revision` truncates every answer at and after the canonical field.\n   - In a merged UX, revision must map canonical field -> owning screen, reopen that screen, and retain unaffected canonical answers.\n   - Revising safety fields must invalidate clinical clearance and owner-risk acceptance, as current baseline revision already invalidates clinical review.\n\n7. **Reference dates are inconsistent**\n   - Reconciliation persists a stable reference date.\n   - Attestation independently derives age with `date.today()`: `nutrition_onboarding.py:251`.\n   - A restart or birthday boundary can produce a baseline evaluated against a different date than reconciliation. Capture one KST reference date at session creation and reuse it throughout.\n\n8. **Active-customer migration is too narrow for generalized compatibility**\n   - The legacy migration supports exactly one expected enabled customer: `nutrition_onboarding_migration.py:41`.\n   - Existing enabled customers should not be reprojected or re-onboarded. Their registry profile, plan, readiness pointers, and adaptive registrations must remain byte/digest compatible.\n   - Projection correctly remains disabled-customer-only: `nutrition_onboarding_projection.py:42`.\n\n## Recommended model\n\nKeep two independent contracts:\n\n- `CANONICAL_BASELINE_FIELDS_V1`: the existing 22-field data contract and digest order.\n- `QUESTIONNAIRE_V2_SCREENS`: fewer UX screens, each producing one or more canonical fields.\n\nPersist:\n\n- `questionnaire_version`\n- `screen_id` or screen cursor\n- Canonical answer map\n- Stable `reference_date`\n- Consumed update IDs\n- Canonical answer digest\n\nFor legacy sessions, continue the old 22-step renderer until completion. New grouped submissions must validate all fields first, then atomically save all expanded values and consume the Telegram update once.\n\n## Proposed failing tests\n\n1. `test_compact_onboarding_matrix_reaches_ready`\n   - Parameterize maintain/loss/gain.\n   - Assert complete canonical baseline, resolved reconciliation, safe 12-week calculations, final readiness, and registry projection.\n\n2. `test_maintain_screen_materializes_null_targets`\n   - Maintain skips target inputs but emits both target fields as `None`.\n   - Reconciliation must not report missing values.\n\n3. `test_loss_gain_preserve_requested_goal_and_safe_recommendation`\n   - Verify target weight/date survive merging.\n   - Aggressive trajectories preserve the request and produce a safe recommended date.\n\n4. `test_preflight_failure_always_exposes_bound_revision_path`\n   - Cover declined equation basis, past target date, wrong target direction, and calorie-bound failure.\n   - Assert state never becomes terminal/finalizing and customer/owner can revise the exact responsible screen.\n\n5. `test_meal_count_supported_end_to_end`\n   - Parameterize `1, 3, 7, 8`.\n   - Assert onboarding, baseline, registry profile, meal structures, adaptive registration, restart, and readiness all accept the same value.\n\n6. `test_age_privacy_after_attestation_and_ready`\n   - Submit a unique DOB.\n   - After attestation and after finalization, recursively inspect durable onboarding artifacts.\n   - Assert plaintext DOB is absent while derived age and stable reference date remain.\n   - Repeat after cancellation and failed/revised onboarding.\n\n7. `test_reference_date_is_stable_across_birthday_restart`\n   - Start before a birthday, restart/attest after the clock advances.\n   - Assert reconciliation and baseline use the session’s original reference date.\n\n8. `test_each_optional_skip_can_finish_and_activate`\n   - Parameterize every skip-enabled field.\n   - Assert canonical value exists, reconciliation resolves, onboarding reaches ready, and downstream adaptive registration remains constructible.\n   - This should currently fail for cooking and budget.\n\n9. `test_sensitive_group_never_defaults_to_safe`\n   - Parameterize conditions, medications, pregnancy, and eating-disorder risk with provided/true/unknown.\n   - Assert merged partial answers cannot silently become false/none and each required case enters safety hold.\n\n10. `test_safety_hold_survives_restart_replay_and_revision`\n    - Restart and duplicate-update replay while held.\n    - Assert no duplicate receipt and no transition to owner review without bound clinical clearance or owner-risk acceptance.\n    - Revising a safety field invalidates old clearance/acceptance.\n\n11. `test_legacy_22_session_resumes_at_every_cursor`\n    - Fixtures for cursors `0..22` with no questionnaire version.\n    - Assert exact legacy next field, no answer loss, and completion under the new release.\n\n12. `test_legacy_noncollecting_states_resume`\n    - Cover customer attestation, reconciliation clarification, safety hold, owner review, finalizing, and ready.\n    - Assert restart and duplicate callback replay always yield an actionable or terminal state.\n\n13. `test_group_submission_is_atomic_and_idempotent`\n    - Crash before write, after write, and during publication.\n    - Assert either no grouped fields commit or all commit; replay consumes one update and never advances twice.\n\n14. `test_revision_maps_canonical_field_to_compact_screen`\n    - Revise each field within a merged screen.\n    - Assert unaffected canonical answers remain, reconciliation digest changes, stale callbacks fail, and the customer can complete again.\n\n15. `test_existing_enabled_customers_are_unchanged`\n    - Seed active legacy customers with meal counts including 1 and 7+, readiness pointers, plans, and registrations.\n    - Start/finalize a different disabled customer.\n    - Assert existing customer documents and digests remain unchanged.\n\nNo files were modified.","run_stats":{"runtime_ms":259853,"turns":15,"tool_calls":72,"output_tokens":10818,"input_tokens":200434,"cache_read_tokens":1661952,"total_tokens":1873204,"generation_ms":248141,"tokens_per_second":44,"cost_usd":2.1576860000000004,"cache_hit_rate_last":0.9512964370101279,"cache_hit_rate_run":0.8923778421873876,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":9,"config_generation":0,"background_mode":"background"}