16e791e044
8월 7일까지 워킹트리에만 남아 있던 미커밋 작업을 커밋한다. 여러 사본 폴더(worktree·clone)에 흩어져 있던 중간 스냅샷을 정리하기 전에 원본을 git 이력으로 고정하는 것이 목적이다. - contracts/routes/services: measurement, outcome_trajectory, rupture_repair, deliberate_practice, calibration_transfer, supervision_research, multimodal_alliance, continuous_improvement 계열 신규 모듈과 테스트 - infra/db/init: 07~16 마이그레이션(측정 기반~calibration transfer 실행) - apps/web: 세션 리뷰 카드·관리 화면·E2E 스펙 추가 - docs/ops: G0~G8 라이브 통합·배포·롤백 증거 문서와 evidence JSON/PNG - scripts: smoke·ledger·릴리스 에이전트·NAS 프리뷰 운영 스크립트 engine.public 로그 .bak과 apps/web/test-results 산출물은 커밋에서 제외했다.
585 lines
19 KiB
Python
585 lines
19 KiB
Python
"""Typed HTTP boundary for G7 multimodal alliance ledgers."""
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from __future__ import annotations
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import secrets
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from collections.abc import AsyncIterator
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from datetime import UTC, datetime
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from pathlib import Path
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from typing import Annotated, Any, Literal
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from urllib.parse import unquote, urlsplit
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from uuid import UUID
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import asyncpg
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from fastapi import APIRouter, Depends, Header, HTTPException, status
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from fastapi.responses import FileResponse
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from ..config import Settings, get_settings
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from ..contracts.multimodal_alliance import (
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AlignedVoiceTimeline,
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CalibratedAxisReadModel,
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FusionCalibration,
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ModalityAxisMeasurement,
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)
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from ..deps import AIView, Principal, Role, db_for_ai_view, require_role
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from ..services import multimodal_alliance_store
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router = APIRouter(tags=["multimodal-alliance"])
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INTERNAL_TOKEN_HEADER = "X-Vignette-Multimodal-Token"
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MIN_INTERNAL_TOKEN_LENGTH = 32
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_evaluator_db_provider = db_for_ai_view(AIView.EVALUATOR)
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def _authenticate_internal(settings: Settings, presented_token: str | None) -> None:
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configured_token = settings.multimodal_alliance_internal_token.get_secret_value()
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if len(configured_token) < MIN_INTERNAL_TOKEN_LENGTH:
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raise HTTPException(
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status.HTTP_503_SERVICE_UNAVAILABLE,
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detail="internal multimodal ingestion is unavailable",
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)
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if presented_token is None:
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raise HTTPException(
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status.HTTP_401_UNAUTHORIZED,
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detail="internal authentication required",
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)
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if not secrets.compare_digest(presented_token, configured_token):
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raise HTTPException(
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status.HTTP_403_FORBIDDEN,
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detail="internal authentication failed",
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)
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async def multimodal_internal_evaluator_db(
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settings: Annotated[Settings, Depends(get_settings)],
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presented_token: Annotated[
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str | None,
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Header(alias=INTERNAL_TOKEN_HEADER),
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] = None,
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) -> AsyncIterator[asyncpg.Connection]:
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"""Authenticate before acquiring a connection or applying evaluator RLS."""
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_authenticate_internal(settings, presented_token)
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async for conn in _evaluator_db_provider():
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yield conn
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InternalDB = Annotated[
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asyncpg.Connection,
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Depends(multimodal_internal_evaluator_db),
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]
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LearnerPrincipal = Annotated[Principal, Depends(require_role(Role.LEARNER))]
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HumanPrincipal = Annotated[
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Principal,
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Depends(require_role(Role.LEARNER, Role.TEACHER, Role.ADMIN)),
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]
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RawAudioPrincipal = Annotated[
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Principal,
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Depends(require_role(Role.LEARNER, Role.ADMIN)),
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]
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class MultimodalConsentRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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submission_id: UUID
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consent_status: Literal["granted", "withdrawn", "not_granted"]
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retain_audio: bool = False
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retain_derived_features: bool = False
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transcript_retained: Literal[True] = True
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retention_days: int | None = Field(default=None, ge=1, le=3650)
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policy_version: str = Field(min_length=1, max_length=80)
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reason_code: str | None = Field(default=None, min_length=1, max_length=120)
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@model_validator(mode="after")
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def preserve_consent_truth(self) -> "MultimodalConsentRequest":
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if self.consent_status == "granted":
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if not self.retain_derived_features or self.retention_days is None:
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raise ValueError(
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"granted consent requires derived retention and expiry"
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)
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elif (
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self.retain_audio
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or self.retain_derived_features
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or self.retention_days is not None
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):
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raise ValueError("ungranted consent cannot retain voice material")
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return self
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class MultimodalConsentResponse(BaseModel):
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submission_id: UUID
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consent_snapshot_id: UUID
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consent_status: Literal["granted", "withdrawn", "not_granted"]
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deletion_request_id: UUID | None = None
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idempotent_replay: bool
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class MultimodalWithdrawalRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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submission_id: UUID
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policy_version: str = Field(min_length=1, max_length=80)
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reason_code: str = Field(default="learner_withdrawal", min_length=1, max_length=120)
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transcript_retained: Literal[True] = True
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class AudioAssetMetadata(BaseModel):
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model_config = ConfigDict(extra="forbid")
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audio_ref: str = Field(min_length=1, max_length=300)
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audio_sha256: str = Field(pattern=r"^[a-f0-9]{64}$")
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media_type: Literal[
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"audio/wav", "audio/webm", "audio/ogg", "audio/mpeg", "audio/mp4"
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]
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byte_size: int = Field(gt=0, le=524_288_000)
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class MultimodalTimelineRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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submission_id: UUID
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timeline: AlignedVoiceTimeline
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audio_asset: AudioAssetMetadata | None = None
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class MultimodalTimelineResponse(BaseModel):
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submission_id: UUID
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timeline_id: UUID
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audio_asset_id: UUID | None = None
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idempotent_replay: bool
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class MeasurementProvenance(BaseModel):
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model_config = ConfigDict(extra="forbid", protected_namespaces=())
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instrument_id: str = Field(min_length=1, max_length=120)
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instrument_version: str = Field(min_length=1, max_length=80)
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model_name: str = Field(min_length=1, max_length=160)
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prompt_version: str = Field(min_length=1, max_length=80)
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class MultimodalMeasurementFusionRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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submission_id: UUID
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text_measurement: ModalityAxisMeasurement
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text_provenance: MeasurementProvenance
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voice_measurement: ModalityAxisMeasurement
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voice_provenance: MeasurementProvenance
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calibration: FusionCalibration
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@model_validator(mode="after")
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def keep_modalities_independent(self) -> "MultimodalMeasurementFusionRequest":
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if self.text_measurement.modality != "text":
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raise ValueError("text_measurement must use text modality")
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if self.voice_measurement.modality != "voice":
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raise ValueError("voice_measurement must use voice modality")
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return self
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class MultimodalMeasurementFusionResponse(BaseModel):
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submission_id: UUID
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fusion_record_id: UUID
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result: CalibratedAxisReadModel
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idempotent_replay: bool
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class MultimodalDeletionRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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submission_id: UUID
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scopes: list[Literal["audio", "derived_features"]] = Field(
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min_length=1, max_length=2
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)
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@field_validator("scopes")
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@classmethod
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def unique_scopes(cls, value: list[str]) -> list[str]:
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if len(set(value)) != len(value):
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raise ValueError("deletion scopes must be unique")
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return value
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class MultimodalDeletionRequestResponse(BaseModel):
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submission_id: UUID
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deletion_request_id: UUID
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idempotent_replay: bool
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class DeletionTombstoneInput(BaseModel):
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model_config = ConfigDict(extra="forbid")
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scope: Literal["audio", "derived_features"]
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target_ref_hash: str = Field(pattern=r"^[a-f0-9]{64}$")
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deletion_proof: str = Field(min_length=1, max_length=300)
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deleted_at: datetime
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class MultimodalDeletionCompletionRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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submission_id: UUID
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actor_uid: UUID | None = None
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actor_kind: Literal["retention_worker", "admin"]
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tombstones: list[DeletionTombstoneInput] = Field(min_length=1, max_length=2)
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@field_validator("tombstones")
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@classmethod
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def unique_tombstone_scopes(
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cls, value: list[DeletionTombstoneInput]
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) -> list[DeletionTombstoneInput]:
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if len({item.scope for item in value}) != len(value):
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raise ValueError("tombstone scopes must be unique")
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return value
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class MultimodalDeletionCompletionResponse(BaseModel):
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submission_id: UUID
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deletion_request_id: UUID
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tombstone_ids: list[UUID] = Field(min_length=1)
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idempotent_replay: bool
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class MultimodalRetentionSweepRequest(BaseModel):
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model_config = ConfigDict(extra="forbid")
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limit: int = Field(default=100, ge=1, le=100)
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class MultimodalRetentionSweepItem(BaseModel):
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audio_asset_id: UUID
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submission_id: UUID
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deletion_request_id: UUID
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idempotent_replay: bool
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class MultimodalRetentionSweepResponse(BaseModel):
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items: list[MultimodalRetentionSweepItem]
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class MultimodalSessionMetadataResponse(BaseModel):
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model_config = ConfigDict(protected_namespaces=())
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session_id: UUID
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learner_id: UUID
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clinical_claim_allowed: Literal[False]
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consent_snapshots: list[dict[str, Any]]
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timelines: list[dict[str, Any]]
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word_timestamps: list[dict[str, Any]]
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voice_events: list[dict[str, Any]]
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measurements: list[dict[str, Any]]
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fusion_decisions: list[dict[str, Any]]
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deletion_requests: list[dict[str, Any]]
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class RawAudioAssetResponse(BaseModel):
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"""Browser-safe raw-audio metadata; the private storage handle never crosses HTTP."""
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model_config = ConfigDict(extra="ignore")
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audio_asset_id: UUID
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session_id: UUID
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media_type: str = Field(min_length=1, max_length=120)
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byte_size: int = Field(ge=0)
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duration_ms: int = Field(ge=0)
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retained_until: datetime
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created_at: datetime
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class RawAudioAccessResponse(BaseModel):
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items: list[RawAudioAssetResponse]
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def _raw_audio_storage_root(settings: Settings) -> Path:
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root = Path(settings.user_upload_dir)
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if not root.is_absolute():
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root = Path.cwd() / root
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return (root / "multimodal-audio").resolve()
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def _resolve_private_audio_ref(settings: Settings, audio_ref: str) -> Path:
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"""Resolve a private storage handle without exposing or escaping its root."""
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parsed = urlsplit(audio_ref)
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if parsed.scheme != "private" or parsed.query or parsed.fragment:
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raise HTTPException(
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status.HTTP_503_SERVICE_UNAVAILABLE,
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detail="raw audio storage adapter unavailable",
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)
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relative = unquote(f"{parsed.netloc}{parsed.path}").replace("\\", "/").lstrip("/")
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if not relative:
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raise HTTPException(
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status.HTTP_404_NOT_FOUND,
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detail="raw audio object not found",
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)
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root = _raw_audio_storage_root(settings)
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candidate = (root / relative).resolve()
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try:
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candidate.relative_to(root)
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except ValueError as exc:
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raise HTTPException(
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status.HTTP_404_NOT_FOUND,
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detail="raw audio object not found",
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) from exc
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if not candidate.is_file():
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raise HTTPException(
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status.HTTP_404_NOT_FOUND,
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detail="raw audio object not found",
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)
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return candidate
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def _http_error(exc: Exception) -> HTTPException:
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if isinstance(exc, multimodal_alliance_store.MultimodalAllianceNotFoundError):
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return HTTPException(status.HTTP_404_NOT_FOUND, detail=str(exc))
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if isinstance(exc, multimodal_alliance_store.MultimodalAllianceConflictError):
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return HTTPException(status.HTTP_409_CONFLICT, detail=str(exc))
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if isinstance(
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exc,
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(
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multimodal_alliance_store.MultimodalConsentRequiredError,
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multimodal_alliance_store.MultimodalConsentWithdrawnError,
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),
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):
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return HTTPException(status.HTTP_409_CONFLICT, detail=str(exc))
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if isinstance(exc, multimodal_alliance_store.MultimodalAllianceStateError):
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return HTTPException(status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(exc))
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raise exc
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@router.post(
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"/sessions/{session_id}/multimodal-alliance/consent",
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response_model=MultimodalConsentResponse,
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status_code=status.HTTP_201_CREATED,
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)
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async def create_multimodal_consent(
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session_id: UUID,
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body: MultimodalConsentRequest,
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principal: LearnerPrincipal,
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) -> MultimodalConsentResponse:
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try:
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payload = await multimodal_alliance_store.append_consent_snapshot(
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principal=principal,
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session_id=session_id,
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**body.model_dump(),
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)
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except multimodal_alliance_store.MultimodalAllianceError as exc:
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raise _http_error(exc) from exc
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return MultimodalConsentResponse.model_validate(payload)
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@router.post(
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"/sessions/{session_id}/multimodal-alliance/withdraw",
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response_model=MultimodalConsentResponse,
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status_code=status.HTTP_201_CREATED,
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)
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async def withdraw_multimodal_consent(
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session_id: UUID,
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body: MultimodalWithdrawalRequest,
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principal: LearnerPrincipal,
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) -> MultimodalConsentResponse:
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try:
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payload = await multimodal_alliance_store.append_consent_snapshot(
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principal=principal,
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session_id=session_id,
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submission_id=body.submission_id,
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consent_status="withdrawn",
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retain_audio=False,
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retain_derived_features=False,
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transcript_retained=body.transcript_retained,
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retention_days=None,
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policy_version=body.policy_version,
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reason_code=body.reason_code,
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)
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except multimodal_alliance_store.MultimodalAllianceError as exc:
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raise _http_error(exc) from exc
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return MultimodalConsentResponse.model_validate(payload)
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@router.post(
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"/internal/sessions/{session_id}/multimodal-alliance/timelines",
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response_model=MultimodalTimelineResponse,
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status_code=status.HTTP_201_CREATED,
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)
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async def create_multimodal_timeline(
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session_id: UUID,
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body: MultimodalTimelineRequest,
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conn: InternalDB,
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) -> MultimodalTimelineResponse:
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try:
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payload = await multimodal_alliance_store.append_timeline(
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conn=conn,
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session_id=session_id,
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submission_id=body.submission_id,
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timeline=body.timeline,
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audio_asset=(
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body.audio_asset.model_dump() if body.audio_asset is not None else None
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),
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)
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except multimodal_alliance_store.MultimodalAllianceError as exc:
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raise _http_error(exc) from exc
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return MultimodalTimelineResponse.model_validate(payload)
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@router.post(
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"/internal/sessions/{session_id}/multimodal-alliance/measurements",
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response_model=MultimodalMeasurementFusionResponse,
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status_code=status.HTTP_201_CREATED,
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)
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async def create_multimodal_measurement_fusion(
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session_id: UUID,
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body: MultimodalMeasurementFusionRequest,
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conn: InternalDB,
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) -> MultimodalMeasurementFusionResponse:
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try:
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payload = await multimodal_alliance_store.append_measurement_fusion(
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conn=conn,
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session_id=session_id,
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submission_id=body.submission_id,
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text=body.text_measurement,
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voice=body.voice_measurement,
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calibration=body.calibration,
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text_provenance=body.text_provenance.model_dump(),
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voice_provenance=body.voice_provenance.model_dump(),
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)
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except multimodal_alliance_store.MultimodalAllianceError as exc:
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raise _http_error(exc) from exc
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return MultimodalMeasurementFusionResponse.model_validate(payload)
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@router.post(
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"/sessions/{session_id}/multimodal-alliance/deletion-requests",
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response_model=MultimodalDeletionRequestResponse,
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status_code=status.HTTP_201_CREATED,
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)
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async def request_multimodal_deletion(
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session_id: UUID,
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body: MultimodalDeletionRequest,
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principal: RawAudioPrincipal,
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) -> MultimodalDeletionRequestResponse:
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try:
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payload = await multimodal_alliance_store.append_deletion_request(
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principal=principal,
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session_id=session_id,
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submission_id=body.submission_id,
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scopes=body.scopes,
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)
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except multimodal_alliance_store.MultimodalAllianceError as exc:
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raise _http_error(exc) from exc
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return MultimodalDeletionRequestResponse.model_validate(payload)
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@router.post(
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"/internal/multimodal-alliance/deletion-requests/{deletion_request_id}/complete",
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|
response_model=MultimodalDeletionCompletionResponse,
|
|
status_code=status.HTTP_201_CREATED,
|
|
)
|
|
async def complete_multimodal_deletion(
|
|
deletion_request_id: UUID,
|
|
body: MultimodalDeletionCompletionRequest,
|
|
conn: InternalDB,
|
|
) -> MultimodalDeletionCompletionResponse:
|
|
try:
|
|
payload = await multimodal_alliance_store.complete_deletion(
|
|
conn=conn,
|
|
deletion_request_id=deletion_request_id,
|
|
submission_id=body.submission_id,
|
|
tombstones=[item.model_dump() for item in body.tombstones],
|
|
actor_uid=body.actor_uid,
|
|
actor_kind=body.actor_kind,
|
|
)
|
|
except multimodal_alliance_store.MultimodalAllianceError as exc:
|
|
raise _http_error(exc) from exc
|
|
return MultimodalDeletionCompletionResponse.model_validate(payload)
|
|
|
|
|
|
@router.post(
|
|
"/internal/multimodal-alliance/retention/sweep",
|
|
response_model=MultimodalRetentionSweepResponse,
|
|
)
|
|
async def sweep_multimodal_retention(
|
|
body: MultimodalRetentionSweepRequest,
|
|
conn: InternalDB,
|
|
) -> MultimodalRetentionSweepResponse:
|
|
try:
|
|
items = await multimodal_alliance_store.request_expired_retention_deletions(
|
|
conn=conn,
|
|
as_of=datetime.now(UTC),
|
|
limit=body.limit,
|
|
)
|
|
except multimodal_alliance_store.MultimodalAllianceError as exc:
|
|
raise _http_error(exc) from exc
|
|
return MultimodalRetentionSweepResponse.model_validate({"items": items})
|
|
|
|
|
|
@router.get(
|
|
"/sessions/{session_id}/multimodal-alliance",
|
|
response_model=MultimodalSessionMetadataResponse,
|
|
)
|
|
async def get_multimodal_session_metadata(
|
|
session_id: UUID,
|
|
principal: HumanPrincipal,
|
|
) -> MultimodalSessionMetadataResponse:
|
|
try:
|
|
payload = await multimodal_alliance_store.read_session_metadata(
|
|
principal=principal,
|
|
session_id=session_id,
|
|
)
|
|
except multimodal_alliance_store.MultimodalAllianceError as exc:
|
|
raise _http_error(exc) from exc
|
|
return MultimodalSessionMetadataResponse.model_validate(payload)
|
|
|
|
|
|
@router.get(
|
|
"/sessions/{session_id}/multimodal-alliance/raw-audio",
|
|
response_model=RawAudioAccessResponse,
|
|
)
|
|
async def get_multimodal_raw_audio_access(
|
|
session_id: UUID,
|
|
principal: RawAudioPrincipal,
|
|
) -> RawAudioAccessResponse:
|
|
try:
|
|
items = await multimodal_alliance_store.read_raw_audio_access(
|
|
principal=principal,
|
|
session_id=session_id,
|
|
)
|
|
except multimodal_alliance_store.MultimodalAllianceError as exc:
|
|
raise _http_error(exc) from exc
|
|
return RawAudioAccessResponse(items=items)
|
|
|
|
|
|
@router.get(
|
|
"/sessions/{session_id}/multimodal-alliance/raw-audio/{audio_asset_id}",
|
|
response_class=FileResponse,
|
|
)
|
|
async def play_multimodal_raw_audio(
|
|
session_id: UUID,
|
|
audio_asset_id: UUID,
|
|
settings: Annotated[Settings, Depends(get_settings)],
|
|
principal: RawAudioPrincipal,
|
|
) -> FileResponse:
|
|
"""Stream a retained object through the authenticated API; never reveal its handle."""
|
|
|
|
try:
|
|
asset = await multimodal_alliance_store.read_raw_audio_asset(
|
|
principal=principal,
|
|
session_id=session_id,
|
|
audio_asset_id=audio_asset_id,
|
|
)
|
|
except multimodal_alliance_store.MultimodalAllianceError as exc:
|
|
raise _http_error(exc) from exc
|
|
audio_path = _resolve_private_audio_ref(settings, str(asset["audio_ref"]))
|
|
return FileResponse(
|
|
path=audio_path,
|
|
media_type=str(asset["media_type"]),
|
|
headers={
|
|
"Cache-Control": "private, no-store",
|
|
"Content-Disposition": "inline",
|
|
"X-Content-Type-Options": "nosniff",
|
|
},
|
|
)
|
|
|
|
|
|
__all__ = ["router"]
|