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0e0e2c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | from __future__ import annotations
from copy import deepcopy
from typing import Any
_FIELD_VERIFICATION_NOTE = (
"No disease-specific claim for this field has been verified in the "
"project source registry. Local agricultural review is required."
)
_EXPERT_REVIEW_NOTE = (
"Ask a local agricultural expert to verify the image and field conditions "
"before taking disease-specific action."
)
_SOURCE_BY_LABEL = {
"Wheat___Brown_Rust": ["SRC-005"],
"Wheat___Yellow_Rust": ["SRC-005"],
}
_SUPPORTED_LABELS = {
"Corn___Common_Rust": ("Common rust", "corn"),
"Corn___Gray_Leaf_Spot": ("Gray leaf spot", "corn"),
"Rice___Brown_Spot": ("Brown spot", "rice"),
"Rice___Leaf_Blast": ("Leaf blast", "rice"),
"Wheat___Brown_Rust": ("Brown rust", "wheat"),
"Wheat___Yellow_Rust": ("Yellow rust", "wheat"),
}
def _field(items: list[str], source_ids: list[str]) -> dict[str, Any]:
return {
"items": list(items),
"provenance_status": "local_verification_required",
"sources": list(source_ids),
}
def _entry(label: str, disease_name: str, crop: str) -> dict[str, Any]:
source_ids = _SOURCE_BY_LABEL.get(label, [])
return {
"label": label,
"disease_name": disease_name,
"crop": crop,
"evidence_status": "local_verification_required",
"symptoms": _field([_FIELD_VERIFICATION_NOTE], source_ids),
"possible_lookalikes": _field([_FIELD_VERIFICATION_NOTE], source_ids),
"favourable_conditions": _field([_FIELD_VERIFICATION_NOTE], source_ids),
"prevention": _field([_FIELD_VERIFICATION_NOTE], source_ids),
"immediate_safe_actions": _field([_FIELD_VERIFICATION_NOTE], source_ids),
"when_to_contact_expert": _field([_EXPERT_REVIEW_NOTE], source_ids),
"evidence_note": (
"The source registry currently verifies only institutional "
"diagnostic/advisory context for these entries, not the "
"disease-specific claims above."
),
}
_KNOWLEDGE_BASE = {
label: _entry(label, disease_name, crop)
for label, (disease_name, crop) in _SUPPORTED_LABELS.items()
}
def get_disease_knowledge(label: Any) -> dict[str, Any] | None:
"""Return a defensive copy of structured evidence-aware disease knowledge."""
if not isinstance(label, str):
return None
entry = _KNOWLEDGE_BASE.get(label)
return deepcopy(entry) if entry is not None else None
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