| """JSON Schema used to constrain hosted detection responses.""" |
|
|
| import copy |
| import hashlib |
| import json |
|
|
|
|
| DETECTION_ARRAY_SCHEMA: dict = { |
| "type": "array", |
| "maxItems": 50, |
| "items": { |
| "type": "object", |
| "properties": { |
| "category_id": {"type": "integer", "minimum": 1, "maximum": 97}, |
| "bbox": { |
| "type": "array", |
| "items": {"type": "number"}, |
| "minItems": 4, |
| "maxItems": 4, |
| }, |
| "score": {"type": "number", "minimum": 0.0, "maximum": 1.0}, |
| }, |
| "required": ["category_id", "bbox", "score"], |
| "additionalProperties": False, |
| }, |
| } |
|
|
|
|
| def detection_response_format(*, omit_array_cap: bool = False) -> dict: |
| """OpenAI-compatible strict response format for a detection array.""" |
| schema = copy.deepcopy(DETECTION_ARRAY_SCHEMA) |
| if omit_array_cap: |
| schema.pop("maxItems") |
| return { |
| "type": "json_schema", |
| "json_schema": { |
| "name": "municipal_detections", |
| "strict": True, |
| "schema": schema, |
| }, |
| } |
|
|
|
|
| def detection_schema_hash(*, omit_array_cap: bool = False) -> str: |
| """Stable identity of the schema, independent of dict formatting.""" |
| encoded = json.dumps( |
| detection_response_format(omit_array_cap=omit_array_cap)["json_schema"]["schema"], |
| sort_keys=True, separators=(",", ":") |
| ).encode("utf-8") |
| return hashlib.sha256(encoded).hexdigest() |
|
|
