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This commit is contained in:
2026-08-23 18:52:05 +02:00
parent eb80d13300
commit 8a71d4eaa7
+10 -10
View File
@@ -4,26 +4,26 @@ from APIs.aichat import generate
import shared.config as config
class DishSafetyResult(BaseModel):
image_description: str = Field(
description="Describe the food and container in 1 simple sentence."
utensil_or_foreign_object_detected: bool = Field(
description="Set to True if ANY spoon, fork, knife, handle, or foil is inside or touching the bowl. Set to False ONLY if the bowl contains ONLY 100% food."
)
is_safe: bool = Field(
description="Set to True if safe. Set to False ONLY if a physical metallic utensil or aluminum foil is clearly visible."
description="MUST be False if utensil_or_foreign_object_detected is True. Set to True ONLY if pure food/bowl with ZERO utensils."
)
detected_hazards: list[str] = Field(
description="List any metallic objects found (e.g. ['metal utensil']). If is_safe is True, this MUST be empty []."
description="List any items found (e.g., ['spoon']). Empty list [] if safe."
)
warning_message: str = Field(
description="Short warning if unsafe, otherwise empty string ''."
description="Warning statement if unsafe, otherwise empty string ''."
)
def check_dish_safety(image_path: str) -> dict:
prompt = (
"Analyze this top-down photo inside a microwave.\n\n"
"TASK:\n"
"1. Describe what is visible in `image_description`.\n"
"2. If the container holds strictly food with no physical metal objects, set `is_safe` to True and `detected_hazards` to [].\n"
"3. Mark `is_safe` as False ONLY if an actual metal object or metallic handle is present in the container."
"Inspect this top-down photo of a food dish inside a microwave.\n\n"
"STRICT MICROWAVE RULES:\n"
"1. Check if ANY utensil (spoon, fork, knife, or handle) is present in or on the bowl.\n"
"2. If ANY spoon or utensil is present (metal, plastic, or ceramic), you MUST set `utensil_or_foreign_object_detected = True` and `is_safe = False`.\n"
"3. `is_safe` can ONLY be True if the dish contains strictly food and nothing else."
)
response_raw = generate(