Hartmut
22c29d5655
- Per-tenant Azure AI config stored in tenants.tenant_config JSONB
- GET/PUT /api/tenants/{id}/ai-config + POST .../test connection
- api_key never returned to frontend (has_api_key: bool pattern)
- azure_ai.py resolves creds from tenant config when ai_enabled=True
- ai_tasks.py loads tenant config and passes it to validate_thumbnail
- Admin GPU Status section: probe button + status badge + last-checked time
- Notifications: _BELL_CHANNELS filter (notification+alert only in bell)
- Tenants.tsx: per-row Azure AI Config modal with URL auto-parse helper
- Remove duplicate in-memory /gpu-probe endpoints (kept DB-backed /probe/gpu)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
import uuid
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from datetime import datetime
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from pydantic import BaseModel
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class TenantCreate(BaseModel):
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name: str
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slug: str
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is_active: bool = True
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class TenantUpdate(BaseModel):
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name: str | None = None
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slug: str | None = None
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is_active: bool | None = None
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class TenantOut(BaseModel):
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id: uuid.UUID
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name: str
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slug: str
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is_active: bool
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user_count: int | None = None
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created_at: datetime
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model_config = {"from_attributes": True}
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class TenantAIConfigUpdate(BaseModel):
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ai_enabled: bool = False
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ai_endpoint: str | None = None
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ai_deployment: str = "gpt-4o"
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ai_api_version: str = "2024-02-01"
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ai_api_key: str | None = None # optional — don't require re-entry
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ai_max_tokens: int = 500
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ai_temperature: float = 0.1
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ai_validation_prompt: str | None = None
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class TenantAIConfigOut(BaseModel):
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ai_enabled: bool
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ai_endpoint: str | None
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ai_deployment: str
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ai_api_version: str
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has_api_key: bool # True if ai_api_key is set — never return the key itself
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ai_max_tokens: int
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ai_temperature: float
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ai_validation_prompt: str | None
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