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import pymongo |
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import pandas as pd |
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import json |
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from dataclasses import dataclass |
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import os |
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from dotenv import load_dotenv |
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load_dotenv() |
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@dataclass |
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class EnvironmentVariable: |
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mongo_db_url = os.getenv("MONGO_URL") |
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env = EnvironmentVariable() |
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mongo_client = pymongo.MongoClient(env.mongo_db_url) |
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TARGET_COLUMN = "Fertilizer Name" |
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NUMERICAL_FEATURES = ['Temparature', 'Humidity ', 'Moisture', 'Nitrogen', 'Potassium', 'Phosphorous'] |
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CATEGORICAL_FEATURES = ['Soil Type', 'Crop Type'] |
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BASE_FILE_PATH = os.path.join("fertilizer-prediction/Fertilizer Prediction.csv") |
