Generic json template for ML APIs for a Text Classification

text_classification_logging_payload.json

{
   "message":"OK",
   "method":"POST",
   "status-code":200,
   "timestamp":"2022-01-01T00:00:00.000000",
   "url":"http://0.0.0.0:1201/predict",
   "data":{
      "prediction":[
         {
            "input_text":"Flash crashes is a scenario where the price of stocks plunges but then quickly recovers.",
            "input_text_post_processed":"flash crash scenario price stock plunge quick recover",
            "predicted_class":"class_1"
         }
      ],
      "prediction_info":[
         {
            "prediction_id":"9a95ac9c-3017-11ed-a261-0242ac120002",
            "prediction_timestamp":"1662107128",
            "client_platform_id":"12",
            "client_platform_name":"front-end-recommendation-bar",
            "request_id":"8c9a68dd-3ffa-4cac-b203-73a776a5ac12",
            "model_id":"e8a55c90-0ba3-46fd-9007-baa66b17057e",
            "model_name":"teams_text_classifier",
            "model_version":"0.2.7",
            "model_description":"Text classifier for soccer teams",
            "model_url_latest":"s3://project/models/outbound/latest/model.bin",
            "model_url_version":"s3://project/models/outbound/versions/model_v0_2_7_20220909.bin",
            "model_sha256":"84ba40b94bcb0c487d4af9f3dafe9188a78327581db09f6467b3f2de9a14afe7",
            "input_text_char_count":88,
            "input_text_word_count":15,
            "input_text_post_processed_char_count":53,
            "input_text_post_processed_word_count":8,
            "predict_proba_class_1":0.97,
            "predict_proba_class_2":0.01,
            "predict_proba_class_3":0.01,
            "predict_proba_class_4":0.01,
            "predict_proba_class_5":0.00
         }
      ],
      "deployment_info":{
         "is_experiment":1,
         "experiment_info":{
            "experiment_type":"canary'|'blue_green | a_b | bandit | shadow",
            "experiment_variant_name":"canary_variant_01",
            "experiment_annotations":{
               "experiment_text":"Model trained doing the direct replacement in the German Umlauts corresponding ä = ae, ö = oe, ü = ue"
            }
         }
      }
   }
}