210 lines
5.6 KiB
Python
210 lines
5.6 KiB
Python
"""Pydantic schemas — API request/response contracts.
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Mirrors the TypeScript types from the Electron app (src/shared/api-types.ts).
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"""
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from __future__ import annotations
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from enum import Enum
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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# ── Billing ──────────────────────────────────────────────────────────
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BillingTier = Literal["free", "pro", "power", "team"]
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# ── Auth ─────────────────────────────────────────────────────────────
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class AuthTokens(BaseModel):
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access_token: str
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refresh_token: str
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expires_at: int
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class UserProfile(BaseModel):
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id: str
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email: str
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tier: BillingTier
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# ── Chat ─────────────────────────────────────────────────────────────
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class ChatContext(BaseModel):
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user_profile: dict[str, Any] = Field(default_factory=dict)
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relevant_documents: list[str] = Field(default_factory=list)
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recent_tasks: list[dict[str, Any]] = Field(default_factory=list)
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conversation_history: list[dict[str, Any]] = Field(default_factory=list)
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class PlanAction(BaseModel):
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type: Literal[
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"create_record",
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"update_record",
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"delete_record",
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"index_document",
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"send_notification",
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]
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table: str | None = None
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data: dict[str, Any] | None = None
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class ChatRequest(BaseModel):
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message: str
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context: ChatContext = Field(default_factory=ChatContext)
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execution_mode: Literal["direct", "plan"] = "direct"
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class ChatResponse(BaseModel):
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response: str
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actions: list[PlanAction] = Field(default_factory=list)
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# ── Execution Plans ──────────────────────────────────────────────────
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class PlanStep(BaseModel):
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action: str
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prompt_template: str | None = None
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variables: dict[str, Any] | None = None
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data_from_step: int | None = None
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class ExecutionPlan(BaseModel):
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agent: str
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steps: list[PlanStep] = Field(default_factory=list)
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# ── Backup ───────────────────────────────────────────────────────────
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class BackupMetadata(BaseModel):
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version: int
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timestamp: int
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checksum: str
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chunk_count: int
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# ── Cloud Storage (E2E encrypted blobs) ──────────────────────────────
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class StorageRecord(BaseModel):
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id: str
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user_id: str
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table: str
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blob: bytes
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checksum: str
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created_at: int
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updated_at: int
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class StorageRecordCreate(BaseModel):
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table: str
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blob: bytes
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checksum: str
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class StorageRecordUpdate(BaseModel):
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blob: bytes
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checksum: str
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# ── Cloud Vector Store (E2E encrypted vectors) ────────────────────────
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class VectorItem(BaseModel):
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id: str
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blob: bytes # encrypted vector + metadata — backend never decrypts
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checksum: str
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class VectorUpsertRequest(BaseModel):
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vectors: list[VectorItem]
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class VectorSearchRequest(BaseModel):
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query_blob: bytes # encrypted query — backend never decrypts
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top_k: int = 10
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class VectorSearchResult(BaseModel):
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id: str
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score: float
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blob: bytes
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class VectorSearchResponse(BaseModel):
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results: list[VectorSearchResult]
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# ── Plugin Marketplace ────────────────────────────────────────────────
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class PluginManifest(BaseModel):
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id: str
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name: str
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description: str
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version: str
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author: str
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permissions: list[str]
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category: str
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price_cents: int = 0
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class PluginListResponse(BaseModel):
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plugins: list[PluginManifest]
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total: int
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page: int
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class PluginInstallRequest(BaseModel):
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plugin_id: str
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# ── WebSocket Frame Protocol ──────────────────────────────────────────
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class WsFrameType(str, Enum):
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chat_request = "chat_request"
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text_chunk = "text_chunk"
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tool_call = "tool_call"
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tool_result = "tool_result"
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final = "final"
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ping = "ping"
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class WsToolCall(BaseModel):
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"""Server → Client: requests a CRUD/vector operation on the local DB."""
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type: Literal[WsFrameType.tool_call] = WsFrameType.tool_call
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id: str
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action: str
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table: str | None = None
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data: dict[str, Any] | None = None
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filters: dict[str, Any] | None = None
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vector: list[float] | None = None
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limit: int | None = None
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class WsToolResult(BaseModel):
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"""Client → Server: result of a CRUD/vector operation."""
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type: Literal[WsFrameType.tool_result] = WsFrameType.tool_result
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id: str
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row: dict[str, Any] | None = None
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rows: list[dict[str, Any]] | None = None
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results: list[dict[str, Any]] | None = None
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deleted: bool | None = None
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ok: bool | None = None
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error: str | None = None
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class WsTextChunk(BaseModel):
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"""Server → Client: incremental LLM response text."""
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type: Literal[WsFrameType.text_chunk] = WsFrameType.text_chunk
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text: str
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class WsFinal(BaseModel):
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"""Server → Client: signals end of response with the complete text."""
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type: Literal[WsFrameType.final] = WsFrameType.final
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response: str
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