from ai_availability_status cimport AIAvailabilityStatus
from annotation cimport Annotation, Detection
from ai_config cimport AIRecognitionConfig
from inference_engine cimport InferenceEngine

cdef class Inference:
    cdef object loader_client
    cdef InferenceEngine engine
    cdef object _annotation_callback
    cdef object _status_callback
    cdef Annotation _previous_annotation
    cdef dict[str, list(Detection)] _tile_detections
    cdef dict[str, int] detection_counts
    cdef AIRecognitionConfig ai_config
    cdef bint stop_signal
    cdef public AIAvailabilityStatus ai_availability_status

    cdef str model_input
    cdef int model_width
    cdef int model_height

    cdef bytes _converted_model_bytes
    cdef bytes get_onnx_engine_bytes(self)
    cdef convert_and_upload_model(self, bytes onnx_engine_bytes, str engine_filename)
    cdef init_ai(self)
    cdef bint is_building_engine
    cdef bint is_video(self, str filepath)

    cpdef run_detect(self, dict config_dict, object annotation_callback, object status_callback=*)
    cpdef list detect_single_image(self, bytes image_bytes, dict config_dict)
    cdef _process_video(self, AIRecognitionConfig ai_config, str video_name)
    cdef _process_images(self, AIRecognitionConfig ai_config, list[str] image_paths)
    cdef _process_images_inner(self, AIRecognitionConfig ai_config, list frame_data, double ground_sampling_distance)
    cdef on_annotation(self, Annotation annotation, int frame_count=*, int total_frames=*)
    cdef split_to_tiles(self, frame, path, tile_size, overlap_percent)
    cpdef stop(self)

    cdef preprocess(self, frames)
    cdef send_detection_status(self)
    cdef remove_overlapping_detections(self, list[Detection] detections, float confidence_threshold=?)
    cdef postprocess(self, output, ai_config)
    cdef split_list_extend(self, lst, chunk_size)

    cdef bint is_valid_video_annotation(self, Annotation annotation, AIRecognitionConfig ai_config)
    cdef bint is_valid_image_annotation(self, Annotation annotation, double ground_sampling_distance, frame_shape)
    cdef remove_tiled_duplicates(self, Annotation annotation)