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Command-line tool to analyze log files and summarize counts by level.

Project description

log-analyzer

A small CLI tool that reads a log file, counts log levels, and outputs the counts in a chosen format. CLI tool to count log levels (INFO/WARNING/ERROR/DEBUG) in a log file.

Install (editable / development)

From the project root:

pip install -e .

Run

Show help:

logan -h

Run with default settings
(uses data/sample.log, table format, sorted by level):

logan

Specify a log file:

logan -f data/sample.log

Output formats

Table (default):

logan -f data/sample.log --format table

Example output ERROR: 2 WARNING: 1 INFO: 3 DEBUG: 0

CSV:

logan -f data/sample.log --format csv

JSON:

logan -f data/sample.log --format json

Example output:

{
  "ERROR": 2,
  "WARNING": 1,
  "INFO": 3,
  "DEBUG": 0
}


Sorting

Sort by log level order (default):

```bash
logan -f data/sample.log --sort level

Sort by count (largest first):

logan -f data/sample.log --sort count

Reverse final order:

logan -f data/sample.log --sort count --reverse

Write Output to a file Write out put to a file instead of printing to the console:

logan -f data/sample.log format table --output out.txt
---

To overwrite an existing file:

```bash
logan -f data/sample.log --output out.csv --force

if the file is open(for example in Excel),the CLIwill return an error.

Filtering Specific Levels
you can limit output to specific log levels:

```bash
logan -f data/sample.log --level ERROR WARNING

Exit Codes
o - Success
2 - CLI erroe or file wrie failure

## Design notes

`run_logic(...)` is a pure function:
- no argparse
- no printing
- no sys.exit
- returns ordered counts

`main(...)` handles CLI parsing and error handling.

Printers only print data and do not sort.

---

## Tests

Run all tests:

```bash
python -m pytest

Final check

  • CLI runs correctly
  • All tests pass
  • Editable install works (pip install -e .)

Testing GitHub Actions workflow

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