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import json |
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import time |
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from http import HTTPStatus |
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from unittest.mock import patch |
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from src.io.lambda_helpers import get_parsed_bbox_points, get_parsed_request_body, get_response |
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from src.utilities.type_hints import RawRequestInput |
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from src.utilities import utilities |
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from tests import TEST_EVENTS_FOLDER |
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@patch.object(time, "time") |
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def test_get_response(time_mocked): |
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time_diff = 108 |
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end_run = 1000 |
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time_mocked.return_value = end_run |
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start_time = end_run-time_diff |
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aws_request_id = "test_invoke_id" |
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with open(TEST_EVENTS_FOLDER / "get_response.json") as tst_json: |
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inputs_outputs = json.load(tst_json) |
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response_type = "200" |
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body_response = inputs_outputs[response_type]["input"] |
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output = get_response(HTTPStatus.OK.value, start_time, aws_request_id, body_response) |
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assert json.loads(output) == inputs_outputs[response_type]["output"] |
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response_type = "400" |
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response_400 = get_response(HTTPStatus.BAD_REQUEST.value, start_time, aws_request_id, {}) |
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assert response_400 == inputs_outputs[response_type]["output"] |
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response_type = "422" |
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response_422 = get_response(HTTPStatus.UNPROCESSABLE_ENTITY.value, start_time, aws_request_id, {}) |
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assert response_422 == inputs_outputs[response_type]["output"] |
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response_type = "500" |
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response_500 = get_response(HTTPStatus.INTERNAL_SERVER_ERROR.value, start_time, aws_request_id, {}) |
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assert response_500 == inputs_outputs[response_type]["output"] |
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def test_get_parsed_bbox_points(): |
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with open(TEST_EVENTS_FOLDER / "get_parsed_bbox_points.json") as tst_json: |
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inputs_outputs = json.load(tst_json) |
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for k, input_output in inputs_outputs.items(): |
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print(f"k:{k}.") |
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raw_body = get_parsed_request_body(**input_output["input"]) |
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output = get_parsed_bbox_points(raw_body) |
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assert output == input_output["output"] |
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def test_get_parsed_request_body(): |
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input_event = { |
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"event": { |
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"bbox": { |
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"ne": {"lat": 38.03932961278458, "lng": 15.36808069832851}, |
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"sw": {"lat": 37.455509218936974, "lng": 14.632807441554068} |
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}, |
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"prompt": [{"type": "point", "data": {"lat": 37.0, "lng": 15.0}, "label": 0}], |
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"zoom": 10, "source_type": "Satellite", "debug": True |
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} |
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} |
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expected_output_dict = { |
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"bbox": { |
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"ne": {"lat": 38.03932961278458, "lng": 15.36808069832851}, |
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"sw": {"lat": 37.455509218936974, "lng": 14.632807441554068} |
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}, |
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"prompt": [{"type": "point", "data": {"lat": 37.0, "lng": 15.0}, "label": 0}], |
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"zoom": 10, "source_type": "Satellite", "debug": True |
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} |
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output = get_parsed_request_body(input_event["event"]) |
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assert output == RawRequestInput.model_validate(input_event["event"]) |
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input_event_str = json.dumps(input_event["event"]) |
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output = get_parsed_request_body(input_event_str) |
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assert output == RawRequestInput.model_validate(expected_output_dict) |
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event = {"body": utilities.base64_encode(input_event_str).decode("utf-8")} |
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output = get_parsed_request_body(event) |
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assert output == RawRequestInput.model_validate(expected_output_dict) |
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