61 lines
2.4 KiB
Python
61 lines
2.4 KiB
Python
import os
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import pandas as pd
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from sqlalchemy import create_engine
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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# Get DB connection parameters from environment
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DB_USER = os.getenv('DB_USER')
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DB_PASSWORD = os.getenv('DB_PASSWORD')
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DB_HOST = os.getenv('DB_HOST')
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DB_PORT = os.getenv('DB_PORT')
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DB_NAME = os.getenv('DB_NAME')
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# Create a connection string
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connection_string = f"mariadb+pymysql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}"
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# Create the SQLAlchemy engine
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engine = create_engine(connection_string)
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# Define a list of file paths and corresponding table names with primary keys
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file_paths = [
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('sec_data/2015q1/sub.txt', 'sub', ['adsh']),
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('sec_data/2015q1/tag.txt', 'tag', ['tag', 'version']),
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('sec_data/2015q1/num.txt', 'num', ['adsh', 'tag', 'version', 'coreg', 'ddate', 'qtrs', 'uom']),
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('sec_data/2015q1/pre.txt', 'pre', ['adsh', 'report', 'line'])
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]
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# Loop through each file and write the data to the database
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for i, (file_path, table_name, primary_keys) in enumerate(file_paths):
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print(f"\nAnalyzing {file_path} (File {i+1}/4)...")
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# Read the data into a Pandas DataFrame
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df = pd.read_csv(file_path, sep='\t')
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# Get the DataFrame Information
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print("\nSummary Information:")
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print(df.info())
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# If the file being processed is 'num.txt', fix the `coreg` column
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if table_name == 'num':
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df['coreg'] = df['coreg'].fillna('nocoreg')
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print("\nUpdated 'coreg' column (NaN values replaced with 'nocoreg'):")
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print(df[['coreg']].head(10)) # Display first 10 rows of the 'coreg' column for verification
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# Dropping rows with any missing values in the primary keys and NOT NULL columns
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df.dropna(subset=primary_keys, inplace=True)
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# Dropping duplicate rows based on primary keys
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df.drop_duplicates(subset=primary_keys, keep='first', inplace=True)
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# Get Updated Information
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print("\nUpdated Information:")
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print(df.info())
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# Write the cleaned DataFrame to the corresponding table in the MariaDB database
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df.to_sql(table_name, con=engine, if_exists='append', index=False)
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print(f"\nCleaned data from {file_path} has been written to the '{table_name}' table in the database.\n")
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print("\nAll files have been processed and cleaned data has been written to the database.") |