Plant registry, grow event calendar, and gardening knowledge base populated via cf-harvest ingest endpoint. All 23 tests passing. Stack: - FastAPI + SQLite (cf-core migrations) on port 8522 - Vue 3 + Vite + Pinia SPA on port 8521 - 5 SQL migrations: locations → plants → grow_events, knowledge_sources → knowledge_facts - Earthy green theme (--color-primary: #4a7c59) matching CF theme system Knowledge ingest contract: - POST /api/v1/knowledge/ingest — idempotent on fact_hash (sha256 of type+payload+video_path) - 8 fact types: companion_planting, soil_amendment, propagation, pest_diagnosis, harvest_timing, instruction, medicinal, history_context - Partial batch failure: malformed facts collected in rejected[], valid facts inserted - Re-ingesting same video batch: facts_skipped_duplicate > 0, no duplicates Wired views: RegistryView (plant CRUD), KnowledgeView (facts + type filter chips) Stub views: CalendarView, SettingsView
68 lines
1.5 KiB
Python
68 lines
1.5 KiB
Python
"""Pydantic schemas for the cf-harvest knowledge ingest contract."""
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from __future__ import annotations
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from typing import Any, Literal, Optional
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from pydantic import BaseModel, field_validator
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FactType = Literal[
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"companion_planting",
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"soil_amendment",
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"propagation",
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"pest_diagnosis",
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"harvest_timing",
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"instruction",
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"medicinal",
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"history_context",
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]
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class KnowledgeSourceSpec(BaseModel):
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video_path: str
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presenter: Optional[str] = None
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location: Optional[str] = None
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source_domain: Optional[str] = "gardening"
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class SegmentKnowledge(BaseModel):
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"""One extracted fact from cf-harvest."""
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fact_type: FactType
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confidence: float = 1.0
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payload: dict[str, Any]
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@field_validator("confidence")
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@classmethod
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def clamp_confidence(cls, v: float) -> float:
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return max(0.0, min(1.0, v))
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class KnowledgeIngestRequest(BaseModel):
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source: KnowledgeSourceSpec
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facts: list[SegmentKnowledge]
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class RejectedFact(BaseModel):
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index: int
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reason: str
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class IngestResponse(BaseModel):
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source_id: int
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video_path: str
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facts_received: int
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facts_inserted: int
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facts_skipped_duplicate: int
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rejected: list[RejectedFact] = []
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class KnowledgeFactOut(BaseModel):
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id: int
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source_id: int
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fact_type: str
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subject: Optional[str]
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payload: dict[str, Any]
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presenter: Optional[str]
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confidence: Optional[float]
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fact_hash: str
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created_at: str
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video_path: Optional[str] = None
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location: Optional[str] = None
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