The Log Parser is a Python-based tool designed to analyze log files and generate a structured report in JSON format. It helps users extract meaningful insights from log data.

• Parse log files to extract entries.
• Generate a detailed report in JSON format.
• Easy-to-use and customizable.

• Python 3.8 or higher

1. Clone the repository:

   git clone https://github.com/beard91/log_parser.git

2. Navigate to the project directory:

   cd log_parser

1. Place your log file in the log directory and name it sample_log.log.
2. Run the script:

   python main.py

3. The generated report will be saved in the report directory (automatically generated) as report.json.

The project includes a suite of tests to ensure the functionality of the log parser. Below is a description of the key test cases:

1. Valid Log Line Parsing:

   • Tests the ability to parse a correctly formatted log line.
   • Verifies that the timestamp, log level, and message are extracted correctly.

2. Invalid Log Level:

   • Tests the behavior when a log line contains an invalid log level.
   • Ensures that a ValueError is raised.

3. Invalid Timestamp:

   • Tests the behavior when a log line contains an invalid timestamp format.
   • Ensures that a ValueError is raised.

4. Log File Parsing with Mixed Content:

   • Tests the parsing of a log file containing valid lines, invalid lines, and empty lines.
   • Verifies that valid entries are processed and invalid entries are recorded.

5. File Not Found:

   • Tests the behavior when the specified log file does not exist.
   • Ensures that a FileNotFoundError is raised.

6. Permission Denied:

   • Tests the behavior when the log file cannot be read due to permission issues.
   • Ensures that a PermissionError is raised.

To run the tests, use the following command:

pytest

log_parser/
├── main.py
├── pyproject.toml
├── README.md
├── src/
│   ├── log_analyzer/
│   │   ├── models.py
│   │   ├── parser.py
│   │   └── reporter.py
├── tests/
└── log/
    └── sample_log.log