surahj / alx-backend-user-data

Personal data

Topics aim was to understand the following concepts:

• What Is PII, non-PII, and Personal Data?
• Implementing logging in python
• bcrypt package
• Logging to Files, Setting Levels, and Formatting
• Examples of Personally Identifiable Information (PII)
• How to implement a log filter that will obfuscate PII fields
• How to encrypt a password and check the validity of an input password
• How to authenticate to a database using environment variables

Files

The tasks for this project were completed using the following files:

filtered_logger.py

Task 0:

Function called filter_datum that returns the log message obfuscated:

Arguments:

• fields: a list of strings representing all fields to obfuscate
• redaction: a string representing by what the field will be obfuscated
• message: a string representing the log line
• separator: a string representing by which character is separating all fields in the log line (message)

Task 1:

Update the class RedactingFormatter to accept a list of strings fields constructor argument.

Implement the format method to filter values in incoming log records using filter_datum. Values for fields in fields should be filtered.

DO NOT extrapolate FORMAT manually. The format method implementation should be less than 5 lines long.

Task 2:

Implement a get_logger function that takes no arguments and returns a logging.Logger object. The logger should be named "user_data" and only log up to logging.INFO level. It should not propagate messages to other loggers. It should have a StreamHandler with RedactingFormatter as formatter.

Task 3:

Implement a get_db function that returns a connector to the database (mysql.connector.connection.MySQLConnection object).

Requirements:

• Use the os module to obtain credentials from the environment
• Use the module mysql-connector-python to connect to the MySQL database

Task 4:

Implement a main function that takes no arguments and returns nothing. The function will obtain a database connection using get_db and retrieve all rows in the users table and display each row under a filtered format like this:

[HOLBERTON] user_data INFO 2019-11-19 18:37:59,596: name=***; email=***; phone=***; ssn=***; password=***; ip=e848:e856:4e0b:a056:54ad:1e98:8110:ce1b; last_login=2019-11-14T06:16:24; user_agent=Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; KTXN);

Filtered fields:

name, email, phone, ssn, password

encrypt_password.py

Task 5:

Implement a hash_password function that expects one string argument name password and returns a salted, hashed password, which is a byte string.

Use the bcrypt package to perform the hashing (with hashpw).

Task 6:

Implement an is_valid function that expects 2 arguments and returns a boolean. Use bcrypt to validate that the provided password matches the hashed password.