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63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
"""Typed shapes for the onboarding v3 endpoints (identity, local scan, prep)."""
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from typing import List, Optional
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from pydantic import BaseModel, ConfigDict, Field
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from backend.apps.settings.models import PersonalizedAutomation, PersonalizedStarter
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class ProviderIdentity(BaseModel):
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model_config = ConfigDict(validate_assignment=True)
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provider: str
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label: str
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email: Optional[str] = None
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plan: Optional[str] = None
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class IdentityResponse(BaseModel):
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model_config = ConfigDict(validate_assignment=True)
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providers: List[ProviderIdentity] = Field(default_factory=list)
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class FolderSummary(BaseModel):
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model_config = ConfigDict(validate_assignment=True)
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name: str
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entry_count: int = 0
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screenshot_count: int = 0
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top_extensions: List[str] = Field(default_factory=list)
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class ScanResult(BaseModel):
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model_config = ConfigDict(validate_assignment=True)
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apps: List[str] = Field(default_factory=list)
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# The high-signal subset of apps (IDEs, design/creative tools); the profile leans on these.
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signal_apps: List[str] = Field(default_factory=list)
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folders: List[FolderSummary] = Field(default_factory=list)
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git_repo_count: int = 0
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has_gitconfig: bool = False
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class PrepRequest(BaseModel):
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model_config = ConfigDict(validate_assignment=True)
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scan: Optional[ScanResult] = None
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picked_apps: List[str] = Field(default_factory=list)
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identity: List[ProviderIdentity] = Field(default_factory=list)
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usage_summary: str = ""
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class PrepResponse(BaseModel):
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model_config = ConfigDict(validate_assignment=True)
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greeting: str = ""
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starters: List[PersonalizedStarter] = Field(default_factory=list)
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app_title: str = ""
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app_prompt: str = ""
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app_reason: str = ""
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automations: List[PersonalizedAutomation] = Field(default_factory=list)
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