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| from datetime import date, datetime | |
| from typing import Literal | |
| from pydantic import BaseModel, ConfigDict, EmailStr, Field, model_validator | |
| class UserCreate(BaseModel): | |
| email: EmailStr | |
| password: str = Field(min_length=6) | |
| class UserLogin(BaseModel): | |
| email: str | |
| password: str | |
| class UserOut(BaseModel): | |
| model_config = ConfigDict(from_attributes=True) | |
| id: int | |
| email: EmailStr | |
| is_admin: bool = False | |
| class Token(BaseModel): | |
| access_token: str | |
| refresh_token: str | None = None | |
| token_type: str = "bearer" | |
| expires_in: int | None = None | |
| user: UserOut | None = None | |
| class SetupStatus(BaseModel): | |
| setup_required: bool | |
| GoalMetric = Literal[ | |
| "wpm", | |
| "filler_rate", | |
| "overall_score", | |
| "practice_days_per_week", | |
| "session_duration_minutes", | |
| "eye_contact_score", | |
| "delivery_score", | |
| ] | |
| GoalComparison = Literal["gte", "lte", "between"] | |
| class UserGoalCreate(BaseModel): | |
| metric_name: GoalMetric | |
| comparison: GoalComparison | |
| target_value: float = Field(ge=0) | |
| target_upper: float | None = Field(default=None, ge=0) | |
| is_active: bool = True | |
| def validate_range(self): | |
| if self.comparison == "between": | |
| if self.target_upper is None or self.target_upper <= self.target_value: | |
| raise ValueError("between goals require target_upper greater than target_value") | |
| elif self.target_upper is not None: | |
| raise ValueError("target_upper is only valid for between goals") | |
| return self | |
| class UserGoalUpdate(BaseModel): | |
| comparison: GoalComparison | None = None | |
| target_value: float | None = Field(default=None, ge=0) | |
| target_upper: float | None = Field(default=None, ge=0) | |
| is_active: bool | None = None | |
| class UserGoalOut(BaseModel): | |
| id: int | |
| metric_name: GoalMetric | |
| comparison: GoalComparison | |
| target_value: float | |
| target_upper: float | None | |
| is_active: bool | |
| current_value: float | None | |
| achieved: bool | |
| created_at: datetime | |
| updated_at: datetime | |
| class PresenterProfileUpdate(BaseModel): | |
| display_name: str | None = Field(default=None, max_length=120) | |
| primary_role: str | None = Field(default=None, max_length=120) | |
| focus_track: Literal[ | |
| "tech_storytelling", | |
| "keynote_clarity", | |
| "camera_confidence", | |
| "executive_pitch", | |
| "tech_presenter", | |
| "tech_news_creator", | |
| "engineering_leader", | |
| ] | None = None | |
| experience_level: Literal["beginner", "intermediate", "advanced"] | None = None | |
| target_wpm_min: int | None = Field(default=None, ge=80, le=200) | |
| target_wpm_max: int | None = Field(default=None, ge=90, le=220) | |
| max_filler_rate: float | None = Field(default=None, ge=0, le=20) | |
| min_eye_contact: float | None = Field(default=None, ge=0, le=1) | |
| daily_minutes_goal: int | None = Field(default=None, ge=5, le=120) | |
| weaknesses: list[str] | None = None | |
| speaking_goal_statement: str | None = Field(default=None, max_length=500) | |
| reset_start_date: bool = False | |
| class PresenterProfileOut(BaseModel): | |
| model_config = ConfigDict(from_attributes=True) | |
| id: int | |
| display_name: str | |
| primary_role: str | |
| focus_track: str | |
| experience_level: str | |
| target_wpm_min: int | |
| target_wpm_max: int | |
| max_filler_rate: float | |
| min_eye_contact: float | |
| daily_minutes_goal: int | |
| weaknesses: list[str] = Field(default_factory=list) | |
| speaking_goal_statement: str | None = None | |
| curriculum_start_date: date | |
| class CurriculumCompleteRequest(BaseModel): | |
| session_id: int | None = None | |
| score: float | None = None | |
| reflection_notes: str | None = Field(default=None, max_length=2000) | |
| class StoryboardRequest(BaseModel): | |
| headline: str = Field(min_length=3, max_length=300) | |
| summary: str = Field(default="", max_length=4000) | |
| source: str | None = Field(default=None, max_length=120) | |
| url: str | None = Field(default=None, max_length=1000) | |
| category: str | None = Field(default="AI & Systems", max_length=80) | |
| framework: Literal["briefing_60s", "explainer_2m", "contrarian_take", "war_story"] = "briefing_60s" | |
| personal_angle: str | None = Field(default=None, max_length=1000) | |
| class WeeklyNoteUpdate(BaseModel): | |
| week_start_date: date | |
| wins_note: str | None = Field(default=None, max_length=2000) | |
| focus_next_week: str | None = Field(default=None, max_length=2000) | |
| class TranscriptUpdateRequest(BaseModel): | |
| transcript_segments: list["TranscriptSegmentCreate"] = Field(default_factory=list) | |
| class TranscriptionRequest(BaseModel): | |
| backend: str | None = None | |
| model: str | None = None | |
| class TranscriptionModelDownloadRequest(BaseModel): | |
| backend: str | |
| model: str | |
| class InferenceEngineCheckRequest(BaseModel): | |
| engine_id: str | |
| base_url: str | None = None | |
| class InferenceEngineStatusOut(BaseModel): | |
| id: str | |
| label: str | |
| base_url: str | |
| live: bool | |
| detail: str | |
| available_models: list[str] = Field(default_factory=list) | |
| class TranscriptionModelOut(BaseModel): | |
| id: str | |
| name: str | |
| repo_id: str | |
| description: str | |
| languages: str | |
| available: bool = False | |
| local_path: str | None = None | |
| class TranscriptionBackendOut(BaseModel): | |
| id: str | |
| label: str | |
| supported: bool | |
| live: bool | |
| detail: str | |
| models: list[TranscriptionModelOut] = Field(default_factory=list) | |
| default_model: str | None = None | |
| class TranscriptionSettingsOut(BaseModel): | |
| default_backend: str | |
| backends: list[TranscriptionBackendOut] = Field(default_factory=list) | |
| text_inference_engines: list[InferenceEngineStatusOut] = Field(default_factory=list) | |
| class TranscriptSegmentCreate(BaseModel): | |
| start_ms: int | |
| end_ms: int | |
| text: str | |
| class TranscriptSegmentOut(TranscriptSegmentCreate): | |
| model_config = ConfigDict(from_attributes=True) | |
| id: int | |
| class DocumentBlockOut(BaseModel): | |
| index: int | |
| text: str | |
| class SessionDocumentOut(BaseModel): | |
| name: str | |
| mime_type: str | |
| blocks: list[DocumentBlockOut] = Field(default_factory=list) | |
| class MetricsPointCreate(BaseModel): | |
| t: int | |
| wpm: float = 0 | |
| rms: float = 0 | |
| eye_contact: float = 0 | |
| smile: float = 0 | |
| yaw: float = 0 | |
| pitch: float = 0 | |
| roll: float = 0 | |
| filler_count: int = 0 | |
| pause_ms: int = 0 | |
| class ScoreCreate(BaseModel): | |
| data: dict | |
| class ScoreOut(ScoreCreate): | |
| model_config = ConfigDict(from_attributes=True) | |
| id: int | |
| class SessionCreate(BaseModel): | |
| title: str | None = None | |
| mode: str | None = None | |
| prompt: str | None = None | |
| goal: str | None = None | |
| curriculum_day: int | None = Field(default=None, ge=1, le=30) | |
| exercise_id: str | None = None | |
| story_framework: str | None = None | |
| target_keywords: list[str] = Field(default_factory=list) | |
| teleprompter_script: str | None = None | |
| started_at: datetime | None = None | |
| ended_at: datetime | None = None | |
| duration_ms: int = 0 | |
| wpm_avg: float = 0 | |
| filler_count: int = 0 | |
| eye_contact_pct: float = 0 | |
| tags: list[str] = Field(default_factory=list) | |
| transcript_segments: list[TranscriptSegmentCreate] = Field(default_factory=list) | |
| metrics: list[MetricsPointCreate] = Field(default_factory=list) | |
| score: dict | None = None | |
| class SessionOut(BaseModel): | |
| model_config = ConfigDict(from_attributes=True) | |
| id: int | |
| title: str | None | |
| mode: str | None | |
| prompt: str | None | |
| goal: str | None | |
| curriculum_day: int | None = None | |
| exercise_id: str | None = None | |
| story_framework: str | None = None | |
| target_keywords: list[str] = Field(default_factory=list) | |
| teleprompter_script: str | None = None | |
| started_at: datetime | None | |
| ended_at: datetime | None | |
| duration_ms: int | |
| wpm_avg: float | |
| filler_count: int | |
| eye_contact_pct: float | |
| video_path: str | None | |
| transcription_status: str | |
| created_at: datetime | |
| tags: list[str] = Field(default_factory=list) | |
| transcript_segments: list[TranscriptSegmentOut] = Field(default_factory=list) | |
| metrics: list[MetricsPointCreate] = Field(default_factory=list) | |
| score: dict | None = None | |
| document: SessionDocumentOut | None = None | |
| class SessionListItem(BaseModel): | |
| model_config = ConfigDict(from_attributes=True) | |
| id: int | |
| title: str | None | |
| mode: str | None | |
| curriculum_day: int | None = None | |
| duration_ms: int | |
| wpm_avg: float | |
| filler_count: int | |
| eye_contact_pct: float | |
| created_at: datetime | |
| transcription_status: str | |
| video_available: bool = False | |
| score: dict | None = None | |
| class UploadResponse(BaseModel): | |
| session_id: int | |
| status: str | |
| video_path: str | None = None | |
| class ExportResponse(BaseModel): | |
| zip_path: str | |