77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
"""Handles incoming rekognition requests, invokes methods, returns responses."""
|
|
import json
|
|
|
|
from moto.core.responses import BaseResponse
|
|
from .models import rekognition_backends
|
|
|
|
|
|
class RekognitionResponse(BaseResponse):
|
|
"""Handler for Rekognition requests and responses."""
|
|
|
|
def __init__(self):
|
|
super().__init__(service_name="rekognition")
|
|
|
|
@property
|
|
def rekognition_backend(self):
|
|
"""Return backend instance specific for this region."""
|
|
return rekognition_backends[self.current_account][self.region]
|
|
|
|
def get_face_search(self):
|
|
(
|
|
job_status,
|
|
status_message,
|
|
video_metadata,
|
|
persons,
|
|
next_token,
|
|
text_model_version,
|
|
) = self.rekognition_backend.get_face_search()
|
|
|
|
return json.dumps(
|
|
dict(
|
|
JobStatus=job_status,
|
|
StatusMessage=status_message,
|
|
VideoMetadata=video_metadata,
|
|
Persons=persons,
|
|
NextToken=next_token,
|
|
TextModelVersion=text_model_version,
|
|
)
|
|
)
|
|
|
|
def get_text_detection(self):
|
|
(
|
|
job_status,
|
|
status_message,
|
|
video_metadata,
|
|
text_detections,
|
|
next_token,
|
|
text_model_version,
|
|
) = self.rekognition_backend.get_text_detection()
|
|
|
|
return json.dumps(
|
|
dict(
|
|
JobStatus=job_status,
|
|
StatusMessage=status_message,
|
|
VideoMetadata=video_metadata,
|
|
TextDetections=text_detections,
|
|
NextToken=next_token,
|
|
TextModelVersion=text_model_version,
|
|
)
|
|
)
|
|
|
|
def start_face_search(self):
|
|
headers = {"Content-Type": "application/x-amz-json-1.1"}
|
|
job_id = self.rekognition_backend.start_face_search()
|
|
response = ('{"JobId":"' + job_id + '"}').encode()
|
|
|
|
return 200, headers, response
|
|
|
|
def start_text_detection(self):
|
|
headers = {"Content-Type": "application/x-amz-json-1.1"}
|
|
job_id = self.rekognition_backend.start_text_detection()
|
|
response = ('{"JobId":"' + job_id + '"}').encode()
|
|
|
|
return 200, headers, response
|
|
|
|
|
|
# add templates from here
|