j  \UdZddlmZddlmZddlmZmZmZddl m Z m Z ddl Z ddlZddlZddlmZmZmZdd lmZmZdd lmZd Zd Zd Zej:dZej:dZej:dZ ej:dZ!ej:dZ"ej:dZ#ej:dZ$ej:dZ%ej:dejLZ'e(hdZ)ddddZ*dZ+e(hdZ,dZ-e(hdZ.id d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4d5d6d7d8d9d:d;dd?d@dAdBdCiZ/dDe0dE<e(e/Z1edFdFGGdHdIZ2edFdFGGdJdKZ3edFdFGGdLdMZ4edFdFGGdNdOZ5edFdFGGdPdQZ6edFdFGGdRdSZ7edFdFGGdTdUZ8ddVZ9ddWZ:ddXZ;ddYZdd^Z?dd_Z@dd`ZAddaZBddbZCddcZD dddZEddeZFdddf ddgZG ddhZH ddiZI ddjZJdddddk ddlZK ddmZL ddnZM ddoZNddpZO ddqZPddrZQddsZRddtZSddduZTddvZUddwZVddxZWdydyddzdzd{ dd|ZXdd}ZYdd~ZZddZ[ddZ\ddZ]ddZ^ddZ_ddZ`ddZaddZbddZcddZdddZe d ddZf ddZgddZhdddddddddd ZidDe0d<dddddddddZjdDe0d<ddddiddiddddddddddddddiddiddZkde0d<y)a Deterministic two-stage Korean coaching copy pipeline. The model is allowed to select finite, code-owned semantic atoms only. All rendered Korean, facts, decisions, actions, timing, safety and delivery state remain owned by this module (and the canonical caller). ) annotations)Counter)asdict dataclass is_dataclass)datedatetimeN)CallableLiteralMapping)&contains_prohibited_nutrition_guidance#contains_unsupported_sensitive_fact)recommendation_claims_match) reason_codeinsufficient_data missing_data safety_hold provider_)u진단합니다u치료합니다u완치u약물을 복용u의학적으로 확실) u오늘 체크인 완료오늘 할 일u 이번 주 u적응형 영양 검토u 권장안 검토 필요u현재 판단:이번 주 판단:u상태:4고객에게는 아직 전달되지 않았습니다.z[+-]?\d+(?:[.,]\d+)*%?zJ[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]|[\u200b-\u200f\u202a-\u202e\u2060-\u206f]z[a-z][a-z0-9_.-]{1,63}z [0-9a-f]{64}z\d{4}-\d{2}-\d{2}z@\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2}(?::\d{2})?(?:Z|[+-]\d{2}:\d{2})z[a-z][a-z0-9_.:+-]{1,63}z:(?:decision|review|hold|adjust)[_.-][a-z][a-z0-9_.-]{1,63}zMcustomer|client|user|telegram|chat|phone|email|display[_ -]?name|account|uuid>dailyweeklyadaptive_operatorz daily-checkinzweekly-summaryzadaptive-proposal)rrrmedicalunsafe_nutrition> prior_mean_kgcurrent_mean_kgweekly_rate_percent)evaluation_day goal_mode goal_ranger$r#r%decisionreason_category_idscurrent_targets target_macroscarb_category_targets safety_heldapproval_statedelivery_stateproposal_digestrevisionrevision_binding_digestsource_cluster_idsexcluded_risk_ids> r)r'r( prior_meanr. weekly_rate current_meanr/r0r&next_check_timeprevious_comparisonrecent_committed_adjustmentchoi_01u원인부터 설명합니다. 문제를 동작·관절·부하·회복 요소로 나누고, 조정 뒤 관찰할 결과까지 연결합니다.choi_02u몸통 안정성과 부하 경로를 우선합니다. 목표 근육의 느낌 하나보다 자세, 관절 움직임, 보상 동작, 반복 재현성을 함께 봅니다.choi_03u약점은 인접 움직임에서 찾되 진단하지 않습니다. 견갑·전거근·전완·발목 등 인접 패턴을 검토할 수 있지만, 보조운동은 선택적 수단입니다.choi_04u작고 누적 가능한 수행을 중시합니다. 부하·반복·운동순서·속도는 실제 수행, 기술, 관절 내성, 회복을 보고 점진적으로 조정합니다.choi_05u감량 전 훈련 수용능력을 중시합니다. 공격적 감량보다 훈련을 감당할 준비를 갖추고, 단기 절식보다 식사 이행·소화·훈련 수행·회복을 함께 봅니다.choi_06u개인 반응을 기록으로 확인합니다. 한 번에 적은 수의 가설만 바꾸고 결과와 반례를 기록합니다.choi_07u영상 모방보다 맥락과 개인 피드백을 중시합니다. 확인되지 않은 기전·성과·안전성을 권위 있게 단정하지 않습니다. nutrition_01u감량·체중 판단은 추세와 맥락을 함께 봅니다. 체중 한 번의 숫자가 아니라 체중·체성분 추세, 훈련 수행, 회복, 에너지 가용성을 함께 봅니다. nutrition_02uw근비대는 훈련·영양·회복의 결합 결과입니다. 어느 하나가 나머지를 대체하지 않습니다. nutrition_03u식단 조정은 하나씩, 관찰 뒤에 합니다. 현재 계획을 관찰하고, 필요할 때 한 변수만 작고 되돌릴 수 있게 바꾼 뒤 체중 추세·수행·회복을 확인합니다. nutrition_04u음식 반응은 개인 기록으로 확인합니다. 특정 음식·감미료·식이 방식이 모두에게 맞거나 틀리다고 단정하지 않습니다. nutrition_05u산화능력은 수행 보조 요인으로 제한합니다. 유산소·산화성 컨디셔닝은 반복 작업 내성과 운동능력을 도울 수 있지만, 모든 회복 문제의 근거가 아닙니다. nutrition_06u소화 콘텐츠는 관찰 원칙으로만 사용합니다. TRP 채널·히스타민·FODMAP은 가능한 맥락일 뿐 자가진단 근거가 아닙니다. nutrition_07u운동 후 탄수화물은 회복 일정에 맞춥니다. 실제 소모량과 다음 고강도 세션까지의 시간을 고려하며 특정 부위에 영양분이 선택적으로 배분된다고 단정하지 않습니다. nutrition_08u운동 선택은 목표와 관절 내성에 맞춥니다. 관절 위치·가동범위·기구 설정은 부하를 바꿀 수 있지만 구조적 문제를 진단하거나 교정 효과를 보장하지 않습니다. nutrition_09u저탄수 상황의 기초 대사는 처방 근거가 아닙니다. 포도당신생·케톤체 설명을 개인의 탄수화물 반응 진단이나 처방으로 확대하지 않습니다. nutrition_10u수면과 회복은 여러 지표로 봅니다. 수면은 수행과 회복에 관련되지만 한 번의 수행을 단일한 회복 지표로 단정하지 않습니다. nutrition_11u미량영양소와 보충제는 필요량·결핍·안전 경계를 기준으로 합니다. 확인되지 않은 고용량 보충제를 회복·소화·수행 향상책으로 일반화하지 않습니다.zdict[str, str]_APPROVED_PRINCIPLE_TEXTT)frozenslotsc,eZdZUded<ded<ded<y) ProseSlotstrslot_idztuple[int, ...] line_indexes canonicalN__name__ __module__ __qualname____annotations__a/home/cube/projects/richard/.worktrees/nutricoach-v140-impl/gateway/platforms/korean_humanizer.pyrRrRs L!!Nr]rRc6eZdZUded<ded<ded<ded<y) HumanizeDocumentrSsurfacerVtuple[str, ...]linesztuple[ProseSlot, ...]rPNrWr\r]r^r`r`s LN   r]r`creZdZUdZded<ded<ded<ded<dZd ed <dZd ed <d Zded <d Zded<y)CoachingGroundingzCThe exact bounded profile export accepted by the coaching pipeline.tuple[tuple[str, str], ...]approved_principlesverified_memoryrS playbook_idplaybook_versionr\rbr4r5 decision_idr3N) rXrYrZ__doc__r[r4r5rlr3r\r]r^reresHM4400*,,)++K#%S%r]receZdZUdZded<ded<ded<ded<ded <ded <d ed <d ed <ded<dZded<dZded<dZded<dZded<dZ ded<dZ ded<dZ ded<y)CoachingPipelineReceiptz7Non-sensitive bounded receipt for one pipeline attempt.rSra7Literal['canonical', 'coached', 'coached_and_polished']outcomerb principle_ids memory_keysrirjbool coach_valid polish_valid output_sha256r\atom_ids variant_idsrkr3canonical_sha256r4r5rlN) rXrYrZrmr[rxryr3rzr4r5rlr\r]r^rorosA L DD""   "Ho"#%K%#%S%c*,,)++Kr]roceZdZUdZded<ded<ded<dZded<d Zd ed <d Zd ed <dZded<e dd ddZ y)DailyGroundingInputzflowbranchanswerskst_daydetailed follow_up_idsz.finalized snapshot contains unsupported fieldsrz&finalized snapshot answers are invalid>painmacroscalories condition digestion intensity bodyweight completion performance sleep_quality training_plansleep_durationworkout_qualitytraining_summary>mealswater operator_note optional_noteappetite_stressc32K|]}|vxr|vywNr\).0key free_textknowns r^ z>DailyGroundingInput.from_finalized_snapshot..s$LGSs%8Cy$88Gsz5finalized snapshot answers contain unsupported fieldsrrz*finalized snapshot fact has the wrong type rrkrz"finalized snapshot flow is invalidz!finalized snapshot day is invalidz,finalized snapshot canonical text is invalid)snapshotr}rzr\)typedict TypeErrorset ValueErrorgetanysorted isinstancertrSintfloatr _compact_macro_mappingappendjoinsplitstrip_binding_projection_binding_digest_sha256tuple)clsrrVallowedrr}rvaluecompactrdaysnapshot_projectioncanonical_valuerzbindingrrs @@r^from_finalized_snapshotz+DailyGroundingInput.from_finalized_snapshots > %IJ JW x=7 "MN N,,y) = $DE E  \ LGL LTU U')5G9,G <=CCLE%&jc5@Q.R(?z%'A4U;G c7^4 LMMhhs5z//1288:G c7^,>||FB'll9b)  JtS$9@A A ?:c3#7?@ @  T)_C%?JK K1(;$  !45  #?3!/$4  5<W.>??r])robjectrVr~returnz'DailyGroundingInput') rXrYrZrmr[rzr4r5r classmethodrr\r]r^r|r|szF &&00  c*<<)HH#L*# !% 9@9@ 9@  9@9@r]r|ceZdZUdZded<ded<ded<dZded <d Zd ed <d Zd ed<edddddd ddZ y)WeeklyGroundingInputz8Closed projection of a code-built weekly report summary.rfr}rhrSr3Nr~rrrbr4r r5)rr3 prior_summaryplanprofilec hd}ttr&t|z r tdjndfd g}d} | D]\} } t fd| Dd} | t| tt ttfst| tr tddjt| jj} | s|j| | fg}t|dk\r|jd d }t|trC|jr3|jd dj|jdd f|xs;t!|xsd t#t#|t#|t#|||d }t$j'|s td|t|t|||S)N>ends_onr)judgment starts_onr(rchange_percentr&r9average_weight_kgcheckin_rate_percentweekly_change_percentweight_change_percentprior_average_weight_kgweekly_weight_change_percentz*weekly summary contains unsupported fieldsct||Sr)getattr)namedefaultsummarys r^z3WeeklyGroundingInput.from_summary...sw0Or]))r)r)r)r)r)rrrr)r)r)r()r()r)rr))r&)r&rc3@K|]}| |ywrr\)rrgetters r^rz4WeeklyGroundingInput.from_summary..:sU54F4L.psV8Uu 8Uz*adaptive card facts contain invalid values>r1r5r4r3z%adaptive card fact has the wrong typetruefalseF,: ensure_ascii separatorsr\) dataclassesrnutrition_coachingr ImportErrorAttributeErrorrrrS_ADAPTIVE_FIELD_NAMESrr_valid_adaptive_fact_valuesr_ADAPTIVE_OPTIONAL_FIELDSrtrrjsondumpsUnicodeEncodeErrorrr3r4r5r)) rr}rrrexcexpected_fields fact_fieldsvaluesrrtextrs r^ from_cardz AdaptiveGroundingInput.from_cardbs& P A  #\(:#(EFG G ;3 3ST T/ ^V?T8UVVK / )1LU1SIJ J(*#DppE4(E}44 GHHE{d"!&vGec5 115ze%V::e%JWD GHH MM4ds, -'$*// &M     $ $  # # NN  K^, PEFC O P:& ^STZ] ] ^*":/ABV#$KLRUUVsGE; 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