49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
from __future__ import annotations
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from pathlib import Path
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from dotenv import load_dotenv
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from shared.datastore import Datastore
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from shared.mongodb import connect_mongodb, upsert_prediction
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from shared.mongodb.src.classes import VisualCommunication
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from shared.utils import check_env, setup_logging
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from web_ui.src.main import NECESSARY_ENV_VAR_LIST
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if __name__ == '__main__':
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# load in env file
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env_path = Path(__file__).parent.parent / 'server.env'
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assert env_path.exists()
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load_dotenv(env_path)
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# ensure env vars set
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check_env(NECESSARY_ENV_VAR_LIST)
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# setup logging
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setup_logging()
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# connect to minIO
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datastore = Datastore()
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datastore.connect()
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assert datastore._client is not None
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# connect to MongoDB
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collection, db, client = connect_mongodb()
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# get list of image paths
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test_dir = Path(__file__).parent
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img_dir = test_dir / 'imgs'
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img_path_list = [path for path in img_dir.glob('*.jpeg') if path.is_file()]
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# instantiate data object
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vis_com_list = [
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VisualCommunication.from_file(path, minio_client=datastore._client)
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for path in img_path_list
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]
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# generate random predictions
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for vis_com in vis_com_list:
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vis_com.generate_random_prediction()
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# upload visual communication
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for vis_com in vis_com_list:
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if vis_com.prediction is None:
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continue
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upsert_prediction(
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collection=collection,
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vis_com_name=vis_com.name,
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predictions=vis_com.prediction,
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)
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