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docs: polish documentation
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## Purpose

This repository contains detection sensible information service.
The purpose of this service is to detect personal data such as: name, phone, email, mailing address, health information, birth information, passport number, driver's license number, social security number, tax file number, and credit card number of the person.
The input to the service is a text file, i.e. any text file such as .txt, .csv, etc. and returns a json.
The json indicates whether personal information was detected. If so, the json must also contain, for tokens(phrases) that contain personal information, the detected tags(referenced above).
`detection-of-personal-data` is a CLI tool to detect sensitive personal data, including names, contact information, health details, identification numbers, and financial details.

Users can input a variety of text files (e.g., `.txt`, `.csv`) which the service then processes, returning a JSON. The JSON not only indicates the presence of personal information but also provides tags for the detected data.

## Technology

Expand All @@ -29,6 +28,40 @@ A regular expression is a method used in programming for pattern matching. Regul
State-of-the-art Machine Learning for PyTorch, TensorFlow and JAX.
Transformers provides APIs to easily download and train state-of-the-art pretrained models.

### Usage

Retrieve command help with:

```sh
poetry run detection-of-personal-data pii-detect --help
```

```console
Usage: detection-of-personal-data pii-detect [OPTIONS]

Represents cli 'pii_detect' command

Options:
-i, --input TEXT path to text file [required]
-o, --output TEXT output directory where json file will be
written [default: .]
-tr, --thresh <TEXT FLOAT>... the minimum probability of private data for
labels
-f, --force overwrite existing file
--dry-run passthrough, will not write anything
--help Show this message and exit.
```

Example:

```sh
poetry run detection-of-personal-data pii-detect \
-tr person 0.3 \
-tr passport 0.3 \
-i ./tests/data/inputs_test/text \
-o ./tests/data/outputs -f
```

## System requirements

### Python
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- [Docker Install Documentation](https://docs.docker.com/install/)

## What's included

This template provides the following:

- [poetry](https://python-poetry.org) for dependency management.
- [flake8](https://flake8.pycqa.org) for linting python code.
- [mypy](http://mypy-lang.org/) for static type checks.
- [pytest](https://docs.pytest.org) for unit testing.
- [click](https://palletsprojects.com/p/click/) to easily setup your project commands

The project is also configured to enforce code quality by declaring some CI workflows:

- conventional commits
- lint
- unit test
- semantic release

## Everyday activity

### Build

Project is built by [poetry](https://python-poetry.org).
Project is built by [poetry](https://python-poetry.org). Initialize the project using:

```sh
poetry install
```

### Usage

```sh
poetry run detection-of-personal-data --help
```

Will give something like

```console
Usage: detection-of-personal-data pii-detect [OPTIONS]

Represents cli 'pii_detect' command

Options:
-i, --input TEXT path to text file [required]
-o, --output TEXT output directory where json file will be
written [default: .]
-tr, --thresh <TEXT FLOAT>... the minimum probability of private data for
labels
-f, --force overwrite existing file
--dry-run passthrough, will not write anything
--help Show this message and exit.
```

Example:

```sh
poetry run detection-of-personal-data pii-detect -tr person 0.3 -tr passport 0.3 -i ./tests/data/inputs_test/text -o ./tests/data/outputs -f
```

### Lint
### Quality Assurance

> ⚠️ Be sure to write code compliant with linters or else you'll be rejected by the CI.
> ⚠️ Ensure your code complies with our linters to pass CI checks.
**Code linting** is performed by [flake8](https://flake8.pycqa.org).

Expand All @@ -122,7 +108,7 @@ poetry run flake8 --count --show-source --statistics
poetry run mypy .
```

To improve code quality, we use other linters in our workflows, if you don't want to be rejected by the CI,
To improve code quality, we use other linters in our workflows, if you want them to succeed in the CI,
please check these additional linters.

**Markdown linting** is performed by [markdownlint-cli](https://github.com/igorshubovych/markdownlint-cli).
Expand All @@ -137,11 +123,11 @@ markdownlint "**/*.md"
hadolint Dockerfile
```

### Unit Test
#### Unit Testing

> ⚠️ Be sure to write tests that succeed or else you'll be rejected by the CI.
> ⚠️ Be sure to write tests that succeed to pass CI checks.
Unit tests are performed by the [pytest](https://docs.pytest.org) testing framework.
Unit testing is performed by the [pytest](https://docs.pytest.org) testing framework.

```sh
poetry run pytest -v
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