Lars
48508c164e
- Introduced Activity Session Metrics for enhanced tracking of session data. - Updated backend to support new API endpoints for managing session metrics. - Added new Pydantic models for activity metrics and replaced metrics functionality. - Enhanced data layer to include session metrics in recent training session data. - Updated documentation to reflect changes in session metrics handling.
260 lines
8.4 KiB
Python
260 lines
8.4 KiB
Python
"""
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Pydantic Models for Mitai Jinkendo API
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Data validation schemas for request/response bodies.
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"""
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from typing import Any, List, Optional
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from pydantic import BaseModel, Field
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# ── Profile Models ────────────────────────────────────────────────────────────
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class ProfileCreate(BaseModel):
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name: str
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avatar_color: Optional[str] = '#1D9E75'
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sex: Optional[str] = 'm'
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dob: Optional[str] = None
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height: Optional[float] = 178
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goal_weight: Optional[float] = None
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goal_bf_pct: Optional[float] = None
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class ProfileUpdate(BaseModel):
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name: Optional[str] = None
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avatar_color: Optional[str] = None
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sex: Optional[str] = None
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dob: Optional[str] = None
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height: Optional[float] = None
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goal_weight: Optional[float] = None
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goal_bf_pct: Optional[float] = None
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quality_filter_level: Optional[str] = None # Issue #31: Global quality filter
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email: Optional[str] = None # Self-service; leer = entfernen; Änderung setzt Verifikation zurück
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# ── Tracking Models ───────────────────────────────────────────────────────────
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class WeightEntry(BaseModel):
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date: str
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weight: float
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note: Optional[str] = None
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class CircumferenceEntry(BaseModel):
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date: str
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c_neck: Optional[float] = None
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c_chest: Optional[float] = None
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c_waist: Optional[float] = None
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c_belly: Optional[float] = None
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c_hip: Optional[float] = None
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c_thigh: Optional[float] = None
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c_calf: Optional[float] = None
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c_arm: Optional[float] = None
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notes: Optional[str] = None
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photo_id: Optional[str] = None
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class CaliperEntry(BaseModel):
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date: str
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sf_method: Optional[str] = 'jackson3'
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sf_chest: Optional[float] = None
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sf_axilla: Optional[float] = None
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sf_triceps: Optional[float] = None
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sf_subscap: Optional[float] = None
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sf_suprailiac: Optional[float] = None
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sf_abdomen: Optional[float] = None
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sf_thigh: Optional[float] = None
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sf_calf_med: Optional[float] = None
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sf_lowerback: Optional[float] = None
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sf_biceps: Optional[float] = None
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body_fat_pct: Optional[float] = None
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lean_mass: Optional[float] = None
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fat_mass: Optional[float] = None
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notes: Optional[str] = None
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class ActivityEntry(BaseModel):
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date: str
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start_time: Optional[str] = None
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end_time: Optional[str] = None
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activity_type: str
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duration_min: Optional[float] = None
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kcal_active: Optional[float] = None
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kcal_resting: Optional[float] = None
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hr_avg: Optional[float] = None
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hr_max: Optional[float] = None
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distance_km: Optional[float] = None
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rpe: Optional[int] = None
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source: Optional[str] = 'manual'
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notes: Optional[str] = None
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training_type_id: Optional[int] = None # v9d: Training type categorization
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training_category: Optional[str] = None # v9d: Denormalized category
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training_subcategory: Optional[str] = None # v9d: Denormalized subcategory
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class ActivityMetricValue(BaseModel):
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parameter_key: str
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value: Any
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class ActivityMetricsReplace(BaseModel):
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"""Voller Ersatz der EAV-Metriken für eine Session (siehe Agent-Guide)."""
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metrics: List[ActivityMetricValue] = Field(default_factory=list)
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class NutritionDay(BaseModel):
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date: str
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kcal: Optional[float] = None
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protein_g: Optional[float] = None
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fat_g: Optional[float] = None
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carbs_g: Optional[float] = None
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# ── Auth Models ───────────────────────────────────────────────────────────────
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class LoginRequest(BaseModel):
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email: str
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password: str
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class PasswordResetRequest(BaseModel):
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email: str
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class PasswordResetConfirm(BaseModel):
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token: str
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new_password: str
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class RegisterRequest(BaseModel):
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name: str
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email: str
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password: str
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# ── Admin Models ──────────────────────────────────────────────────────────────
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class AdminProfileUpdate(BaseModel):
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role: Optional[str] = None
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ai_enabled: Optional[int] = None
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ai_limit_day: Optional[int] = None
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export_enabled: Optional[int] = None
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# ── Prompt Models (Issue #28) ────────────────────────────────────────────────
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class PromptCreate(BaseModel):
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name: str
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slug: str
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display_name: Optional[str] = None
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description: Optional[str] = None
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template: str
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category: str = 'ganzheitlich'
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active: bool = True
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sort_order: int = 0
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class PromptUpdate(BaseModel):
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name: Optional[str] = None
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display_name: Optional[str] = None
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description: Optional[str] = None
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template: Optional[str] = None
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category: Optional[str] = None
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active: Optional[bool] = None
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sort_order: Optional[int] = None
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class PromptGenerateRequest(BaseModel):
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goal: str
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data_categories: list[str]
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example_output: Optional[str] = None
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# ── Unified Prompt System Models (Issue #28 Phase 2) ───────────────────────
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class StagePromptCreate(BaseModel):
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"""Single prompt within a stage"""
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source: str # 'inline' or 'reference'
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slug: Optional[str] = None # Required if source='reference'
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template: Optional[str] = None # Required if source='inline'
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output_key: str # Key for storing result (e.g., 'nutrition', 'stage1_body')
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output_format: str = 'text' # 'text' or 'json'
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output_schema: Optional[dict] = None # JSON schema if output_format='json'
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class StageCreate(BaseModel):
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"""Single stage with multiple prompts"""
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stage: int # Stage number (1, 2, 3, ...)
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prompts: list[StagePromptCreate]
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class UnifiedPromptCreate(BaseModel):
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"""Create a new unified prompt (base, pipeline, or workflow type)"""
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name: str
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slug: Optional[str] = None # Auto-generated from name if not provided
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display_name: Optional[str] = None
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description: Optional[str] = None
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type: str # 'base' | 'pipeline' | 'workflow'
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category: str = 'ganzheitlich'
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active: bool = True
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sort_order: int = 0
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# For base prompts (single reusable template)
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template: Optional[str] = None # Required if type='base'
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output_format: str = 'text'
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output_schema: Optional[dict] = None
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# For pipeline prompts (multi-stage workflow)
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stages: Optional[list[StageCreate]] = None # Required if type='pipeline'
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# For workflow prompts (visual graph editor)
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graph_data: Optional[dict] = None # Required if type='workflow'
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class UnifiedPromptUpdate(BaseModel):
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"""Update an existing unified prompt"""
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name: Optional[str] = None
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display_name: Optional[str] = None
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description: Optional[str] = None
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type: Optional[str] = None
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category: Optional[str] = None
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active: Optional[bool] = None
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sort_order: Optional[int] = None
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template: Optional[str] = None
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output_format: Optional[str] = None
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output_schema: Optional[dict] = None
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stages: Optional[list[StageCreate]] = None
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graph_data: Optional[dict] = None # For workflow type
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# ── Pipeline Config Models (Issue #28) ─────────────────────────────────────
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# NOTE: These will be deprecated in favor of UnifiedPrompt models above
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class PipelineConfigCreate(BaseModel):
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name: str
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description: Optional[str] = None
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is_default: bool = False
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active: bool = True
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modules: dict # {"körper": true, "ernährung": true, ...}
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timeframes: dict # {"körper": 30, "ernährung": 30, ...}
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stage1_prompts: list[str] # Array of slugs
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stage2_prompt: str # slug
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stage3_prompt: Optional[str] = None # slug
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class PipelineConfigUpdate(BaseModel):
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name: Optional[str] = None
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description: Optional[str] = None
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is_default: Optional[bool] = None
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active: Optional[bool] = None
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modules: Optional[dict] = None
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timeframes: Optional[dict] = None
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stage1_prompts: Optional[list[str]] = None
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stage2_prompt: Optional[str] = None
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stage3_prompt: Optional[str] = None
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class PipelineExecuteRequest(BaseModel):
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config_id: Optional[str] = None # None = use default config
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