path: root/python-doccano.spec

%global _empty_manifest_terminate_build 0
Name:		python-doccano
Version:	1.8.3
Release:	1
Summary:	doccano, text annotation tool for machine learning practitioners
License:	MIT
URL:		https://doccano.github.io/doccano/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/8c/6b/893bd1163663829af1b41908137c609dff14de0a4d53d98fdeba0f2941f3/doccano-1.8.3.tar.gz
BuildArch:	noarch

Requires:	python3-Django
Requires:	python3-SQLAlchemy
Requires:	python3-auto-labeling-pipeline
Requires:	python3-celery
Requires:	python3-chardet
Requires:	python3-dj-database-url
Requires:	python3-dj-rest-auth[with-social]
Requires:	python3-django-allauth
Requires:	python3-django-celery-results
Requires:	python3-django-cleanup
Requires:	python3-django-cors-headers
Requires:	python3-django-drf-filepond
Requires:	python3-django-filter
Requires:	python3-django-health-check
Requires:	python3-django-polymorphic
Requires:	python3-django-rest-polymorphic
Requires:	python3-django-storages[google]
Requires:	python3-djangorestframework
Requires:	python3-djangorestframework-xml
Requires:	python3-drf-yasg
Requires:	python3-environs
Requires:	python3-filetype
Requires:	python3-flower
Requires:	python3-furl
Requires:	python3-gunicorn
Requires:	python3-pandas
Requires:	python3-pyexcel
Requires:	python3-pyexcel-xlsx
Requires:	python3-seqeval
Requires:	python3-waitress
Requires:	python3-whitenoise

%description
<div align="center">
  <img src="https://raw.githubusercontent.com/doccano/doccano/master/docs/images/logo/doccano.png">
</div>

# doccano

[![Codacy Badge](https://app.codacy.com/project/badge/Grade/35ac8625a2bc4eddbff23dbc61bc6abb)](https://www.codacy.com/gh/doccano/doccano/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=doccano/doccano&amp;utm_campaign=Badge_Grade)
[![doccano CI](https://github.com/doccano/doccano/actions/workflows/ci.yml/badge.svg)](https://github.com/doccano/doccano/actions/workflows/ci.yml)

doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.

## Demo

You can try the [annotation demo](http://doccano.herokuapp.com).

![Demo image](https://raw.githubusercontent.com/doccano/doccano/master/docs/images/demo/demo.gif)

## Documentation

Read the documentation at the <https://doccano.github.io/doccano/>.

## Features

- Collaborative annotation
- Multi-language support
- Mobile support
- Emoji :smile: support
- Dark theme
- RESTful API

## Usage

Three options to run doccano:

- pip (Python 3.8+)
- Docker
- Docker Compose

### pip

To install doccano, simply run:

```bash
pip install doccano
```

By default, SQLite 3 is used for the default database. If you want to use PostgreSQL, install the additional dependencies:

```bash
pip install 'doccano[postgresql]'
```

and set `DATABASE_URL` environment variable according to your PostgreSQL credentials:

```bash
DATABASE_URL="postgres://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB}?sslmode=disable"
```

After installation, run the following commands:

```bash
# Initialize database.
doccano init
# Create a super user.
doccano createuser --username admin --password pass
# Start a web server.
doccano webserver --port 8000
```

In another terminal, run the following command:

```bash
# Start the task queue to handle file upload/download.
doccano task
```

Go to <http://127.0.0.1:8000/>.

### Docker

As a one-time setup, create a Docker container as follows:

```bash
docker pull doccano/doccano
docker container create --name doccano \
  -e "ADMIN_USERNAME=admin" \
  -e "ADMIN_EMAIL=admin@example.com" \
  -e "ADMIN_PASSWORD=password" \
  -v doccano-db:/data \
  -p 8000:8000 doccano/doccano
```

Next, start doccano by running the container:

```bash
docker container start doccano
```

Go to <http://127.0.0.1:8000/>.

To stop the container, run `docker container stop doccano -t 5`. All data created in the container will persist across restarts.

If you want to use the latest features, please specify `nightly` tag:

```bash
docker pull doccano/doccano:nightly
```

### Docker Compose

You need to install Git and to clone the repository:

```bash
git clone https://github.com/doccano/doccano.git
cd doccano
```

_Note for Windows developers:_ Be sure to configure git to correctly handle line endings or you may encounter `status code 127` errors while running the services in future steps. Running with the git config options below will ensure your git directory correctly handles line endings.

```bash
git clone https://github.com/doccano/doccano.git --config core.autocrlf=input
```

Then, create an `.env` file with variables in the following format (see [./docker/.env.example](https://github.com/doccano/doccano/blob/master/docker/.env.example)):

```plain
# platform settings
ADMIN_USERNAME=admin
ADMIN_PASSWORD=password
ADMIN_EMAIL=admin@example.com

# rabbit mq settings
RABBITMQ_DEFAULT_USER=doccano
RABBITMQ_DEFAULT_PASS=doccano

# database settings
POSTGRES_USER=doccano
POSTGRES_PASSWORD=doccano
POSTGRES_DB=doccano
```

After running the following command, access <http://127.0.0.1/>.

```bash
docker-compose -f docker/docker-compose.prod.yml --env-file .env up
```

### One-click Deployment

| Service | Button |
|---------|---|
| AWS[^1]   | [![AWS CloudFormation Launch Stack SVG Button](https://cdn.rawgit.com/buildkite/cloudformation-launch-stack-button-svg/master/launch-stack.svg)](https://console.aws.amazon.com/cloudformation/home?#/stacks/new?stackName=doccano&templateURL=https://doccano.s3.amazonaws.com/public/cloudformation/template.aws.yaml)  |
| Heroku  | [![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Fdoccano%2Fdoccano)  |
<!-- | GCP[^2] | [![GCP Cloud Run PNG Button](https://storage.googleapis.com/gweb-cloudblog-publish/images/run_on_google_cloud.max-300x300.png)](https://console.cloud.google.com/cloudshell/editor?shellonly=true&cloudshell_image=gcr.io/cloudrun/button&cloudshell_git_repo=https://github.com/doccano/doccano.git&cloudshell_git_branch=CloudRunButton)  | -->

> [^1]: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or [create one yourself](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair). (2) If you want to access doccano via HTTPS in AWS, here is an [instruction](https://github.com/doccano/doccano/wiki/HTTPS-setting-for-doccano-in-AWS).
<!-- > [^2]: Although this is a very cheap option, it is only suitable for very small teams (up to 80 concurrent requests). Read more on [Cloud Run docs](https://cloud.google.com/run/docs/concepts). -->

## FAQ

- [How to create a user](https://doccano.github.io/doccano/faq/#how-to-create-a-user)
- [How to add a user to your project](https://doccano.github.io/doccano/faq/#how-to-add-a-user-to-your-project)
- [How to change the password](https://doccano.github.io/doccano/faq/#how-to-change-the-password)

See the [documentation](https://doccano.github.io/doccano/) for details.

## Contribution

As with any software, doccano is under continuous development. If you have requests for features, please file an issue describing your request. Also, if you want to see work towards a specific feature, feel free to contribute by working towards it. The standard procedure is to fork the repository, add a feature, fix a bug, then file a pull request that your changes are to be merged into the main repository and included in the next release.

Here are some tips might be helpful. [How to Contribute to Doccano Project](https://github.com/doccano/doccano/wiki/How-to-Contribute-to-Doccano-Project)

## Citation

```tex
@misc{doccano,
  title={{doccano}: Text Annotation Tool for Human},
  url={https://github.com/doccano/doccano},
  note={Software available from https://github.com/doccano/doccano},
  author={
    Hiroki Nakayama and
    Takahiro Kubo and
    Junya Kamura and
    Yasufumi Taniguchi and
    Xu Liang},
  year={2018},
}
```

## Contact

For help and feedback, please feel free to contact [the author](https://github.com/Hironsan).



%package -n python3-doccano
Summary:	doccano, text annotation tool for machine learning practitioners
Provides:	python-doccano
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-doccano
<div align="center">
  <img src="https://raw.githubusercontent.com/doccano/doccano/master/docs/images/logo/doccano.png">
</div>

# doccano

[![Codacy Badge](https://app.codacy.com/project/badge/Grade/35ac8625a2bc4eddbff23dbc61bc6abb)](https://www.codacy.com/gh/doccano/doccano/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=doccano/doccano&amp;utm_campaign=Badge_Grade)
[![doccano CI](https://github.com/doccano/doccano/actions/workflows/ci.yml/badge.svg)](https://github.com/doccano/doccano/actions/workflows/ci.yml)

doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.

## Demo

You can try the [annotation demo](http://doccano.herokuapp.com).

![Demo image](https://raw.githubusercontent.com/doccano/doccano/master/docs/images/demo/demo.gif)

## Documentation

Read the documentation at the <https://doccano.github.io/doccano/>.

## Features

- Collaborative annotation
- Multi-language support
- Mobile support
- Emoji :smile: support
- Dark theme
- RESTful API

## Usage

Three options to run doccano:

- pip (Python 3.8+)
- Docker
- Docker Compose

### pip

To install doccano, simply run:

```bash
pip install doccano
```

By default, SQLite 3 is used for the default database. If you want to use PostgreSQL, install the additional dependencies:

```bash
pip install 'doccano[postgresql]'
```

and set `DATABASE_URL` environment variable according to your PostgreSQL credentials:

```bash
DATABASE_URL="postgres://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB}?sslmode=disable"
```

After installation, run the following commands:

```bash
# Initialize database.
doccano init
# Create a super user.
doccano createuser --username admin --password pass
# Start a web server.
doccano webserver --port 8000
```

In another terminal, run the following command:

```bash
# Start the task queue to handle file upload/download.
doccano task
```

Go to <http://127.0.0.1:8000/>.

### Docker

As a one-time setup, create a Docker container as follows:

```bash
docker pull doccano/doccano
docker container create --name doccano \
  -e "ADMIN_USERNAME=admin" \
  -e "ADMIN_EMAIL=admin@example.com" \
  -e "ADMIN_PASSWORD=password" \
  -v doccano-db:/data \
  -p 8000:8000 doccano/doccano
```

Next, start doccano by running the container:

```bash
docker container start doccano
```

Go to <http://127.0.0.1:8000/>.

To stop the container, run `docker container stop doccano -t 5`. All data created in the container will persist across restarts.

If you want to use the latest features, please specify `nightly` tag:

```bash
docker pull doccano/doccano:nightly
```

### Docker Compose

You need to install Git and to clone the repository:

```bash
git clone https://github.com/doccano/doccano.git
cd doccano
```

_Note for Windows developers:_ Be sure to configure git to correctly handle line endings or you may encounter `status code 127` errors while running the services in future steps. Running with the git config options below will ensure your git directory correctly handles line endings.

```bash
git clone https://github.com/doccano/doccano.git --config core.autocrlf=input
```

Then, create an `.env` file with variables in the following format (see [./docker/.env.example](https://github.com/doccano/doccano/blob/master/docker/.env.example)):

```plain
# platform settings
ADMIN_USERNAME=admin
ADMIN_PASSWORD=password
ADMIN_EMAIL=admin@example.com

# rabbit mq settings
RABBITMQ_DEFAULT_USER=doccano
RABBITMQ_DEFAULT_PASS=doccano

# database settings
POSTGRES_USER=doccano
POSTGRES_PASSWORD=doccano
POSTGRES_DB=doccano
```

After running the following command, access <http://127.0.0.1/>.

```bash
docker-compose -f docker/docker-compose.prod.yml --env-file .env up
```

### One-click Deployment

| Service | Button |
|---------|---|
| AWS[^1]   | [![AWS CloudFormation Launch Stack SVG Button](https://cdn.rawgit.com/buildkite/cloudformation-launch-stack-button-svg/master/launch-stack.svg)](https://console.aws.amazon.com/cloudformation/home?#/stacks/new?stackName=doccano&templateURL=https://doccano.s3.amazonaws.com/public/cloudformation/template.aws.yaml)  |
| Heroku  | [![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Fdoccano%2Fdoccano)  |
<!-- | GCP[^2] | [![GCP Cloud Run PNG Button](https://storage.googleapis.com/gweb-cloudblog-publish/images/run_on_google_cloud.max-300x300.png)](https://console.cloud.google.com/cloudshell/editor?shellonly=true&cloudshell_image=gcr.io/cloudrun/button&cloudshell_git_repo=https://github.com/doccano/doccano.git&cloudshell_git_branch=CloudRunButton)  | -->

> [^1]: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or [create one yourself](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair). (2) If you want to access doccano via HTTPS in AWS, here is an [instruction](https://github.com/doccano/doccano/wiki/HTTPS-setting-for-doccano-in-AWS).
<!-- > [^2]: Although this is a very cheap option, it is only suitable for very small teams (up to 80 concurrent requests). Read more on [Cloud Run docs](https://cloud.google.com/run/docs/concepts). -->

## FAQ

- [How to create a user](https://doccano.github.io/doccano/faq/#how-to-create-a-user)
- [How to add a user to your project](https://doccano.github.io/doccano/faq/#how-to-add-a-user-to-your-project)
- [How to change the password](https://doccano.github.io/doccano/faq/#how-to-change-the-password)

See the [documentation](https://doccano.github.io/doccano/) for details.

## Contribution

As with any software, doccano is under continuous development. If you have requests for features, please file an issue describing your request. Also, if you want to see work towards a specific feature, feel free to contribute by working towards it. The standard procedure is to fork the repository, add a feature, fix a bug, then file a pull request that your changes are to be merged into the main repository and included in the next release.

Here are some tips might be helpful. [How to Contribute to Doccano Project](https://github.com/doccano/doccano/wiki/How-to-Contribute-to-Doccano-Project)

## Citation

```tex
@misc{doccano,
  title={{doccano}: Text Annotation Tool for Human},
  url={https://github.com/doccano/doccano},
  note={Software available from https://github.com/doccano/doccano},
  author={
    Hiroki Nakayama and
    Takahiro Kubo and
    Junya Kamura and
    Yasufumi Taniguchi and
    Xu Liang},
  year={2018},
}
```

## Contact

For help and feedback, please feel free to contact [the author](https://github.com/Hironsan).



%package help
Summary:	Development documents and examples for doccano
Provides:	python3-doccano-doc
%description help
<div align="center">
  <img src="https://raw.githubusercontent.com/doccano/doccano/master/docs/images/logo/doccano.png">
</div>

# doccano

[![Codacy Badge](https://app.codacy.com/project/badge/Grade/35ac8625a2bc4eddbff23dbc61bc6abb)](https://www.codacy.com/gh/doccano/doccano/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=doccano/doccano&amp;utm_campaign=Badge_Grade)
[![doccano CI](https://github.com/doccano/doccano/actions/workflows/ci.yml/badge.svg)](https://github.com/doccano/doccano/actions/workflows/ci.yml)

doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.

## Demo

You can try the [annotation demo](http://doccano.herokuapp.com).

![Demo image](https://raw.githubusercontent.com/doccano/doccano/master/docs/images/demo/demo.gif)

## Documentation

Read the documentation at the <https://doccano.github.io/doccano/>.

## Features

- Collaborative annotation
- Multi-language support
- Mobile support
- Emoji :smile: support
- Dark theme
- RESTful API

## Usage

Three options to run doccano:

- pip (Python 3.8+)
- Docker
- Docker Compose

### pip

To install doccano, simply run:

```bash
pip install doccano
```

By default, SQLite 3 is used for the default database. If you want to use PostgreSQL, install the additional dependencies:

```bash
pip install 'doccano[postgresql]'
```

and set `DATABASE_URL` environment variable according to your PostgreSQL credentials:

```bash
DATABASE_URL="postgres://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB}?sslmode=disable"
```

After installation, run the following commands:

```bash
# Initialize database.
doccano init
# Create a super user.
doccano createuser --username admin --password pass
# Start a web server.
doccano webserver --port 8000
```

In another terminal, run the following command:

```bash
# Start the task queue to handle file upload/download.
doccano task
```

Go to <http://127.0.0.1:8000/>.

### Docker

As a one-time setup, create a Docker container as follows:

```bash
docker pull doccano/doccano
docker container create --name doccano \
  -e "ADMIN_USERNAME=admin" \
  -e "ADMIN_EMAIL=admin@example.com" \
  -e "ADMIN_PASSWORD=password" \
  -v doccano-db:/data \
  -p 8000:8000 doccano/doccano
```

Next, start doccano by running the container:

```bash
docker container start doccano
```

Go to <http://127.0.0.1:8000/>.

To stop the container, run `docker container stop doccano -t 5`. All data created in the container will persist across restarts.

If you want to use the latest features, please specify `nightly` tag:

```bash
docker pull doccano/doccano:nightly
```

### Docker Compose

You need to install Git and to clone the repository:

```bash
git clone https://github.com/doccano/doccano.git
cd doccano
```

_Note for Windows developers:_ Be sure to configure git to correctly handle line endings or you may encounter `status code 127` errors while running the services in future steps. Running with the git config options below will ensure your git directory correctly handles line endings.

```bash
git clone https://github.com/doccano/doccano.git --config core.autocrlf=input
```

Then, create an `.env` file with variables in the following format (see [./docker/.env.example](https://github.com/doccano/doccano/blob/master/docker/.env.example)):

```plain
# platform settings
ADMIN_USERNAME=admin
ADMIN_PASSWORD=password
ADMIN_EMAIL=admin@example.com

# rabbit mq settings
RABBITMQ_DEFAULT_USER=doccano
RABBITMQ_DEFAULT_PASS=doccano

# database settings
POSTGRES_USER=doccano
POSTGRES_PASSWORD=doccano
POSTGRES_DB=doccano
```

After running the following command, access <http://127.0.0.1/>.

```bash
docker-compose -f docker/docker-compose.prod.yml --env-file .env up
```

### One-click Deployment

| Service | Button |
|---------|---|
| AWS[^1]   | [![AWS CloudFormation Launch Stack SVG Button](https://cdn.rawgit.com/buildkite/cloudformation-launch-stack-button-svg/master/launch-stack.svg)](https://console.aws.amazon.com/cloudformation/home?#/stacks/new?stackName=doccano&templateURL=https://doccano.s3.amazonaws.com/public/cloudformation/template.aws.yaml)  |
| Heroku  | [![Deploy](https://www.herokucdn.com/deploy/button.svg)](https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Fdoccano%2Fdoccano)  |
<!-- | GCP[^2] | [![GCP Cloud Run PNG Button](https://storage.googleapis.com/gweb-cloudblog-publish/images/run_on_google_cloud.max-300x300.png)](https://console.cloud.google.com/cloudshell/editor?shellonly=true&cloudshell_image=gcr.io/cloudrun/button&cloudshell_git_repo=https://github.com/doccano/doccano.git&cloudshell_git_branch=CloudRunButton)  | -->

> [^1]: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or [create one yourself](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-key-pairs.html#having-ec2-create-your-key-pair). (2) If you want to access doccano via HTTPS in AWS, here is an [instruction](https://github.com/doccano/doccano/wiki/HTTPS-setting-for-doccano-in-AWS).
<!-- > [^2]: Although this is a very cheap option, it is only suitable for very small teams (up to 80 concurrent requests). Read more on [Cloud Run docs](https://cloud.google.com/run/docs/concepts). -->

## FAQ

- [How to create a user](https://doccano.github.io/doccano/faq/#how-to-create-a-user)
- [How to add a user to your project](https://doccano.github.io/doccano/faq/#how-to-add-a-user-to-your-project)
- [How to change the password](https://doccano.github.io/doccano/faq/#how-to-change-the-password)

See the [documentation](https://doccano.github.io/doccano/) for details.

## Contribution

As with any software, doccano is under continuous development. If you have requests for features, please file an issue describing your request. Also, if you want to see work towards a specific feature, feel free to contribute by working towards it. The standard procedure is to fork the repository, add a feature, fix a bug, then file a pull request that your changes are to be merged into the main repository and included in the next release.

Here are some tips might be helpful. [How to Contribute to Doccano Project](https://github.com/doccano/doccano/wiki/How-to-Contribute-to-Doccano-Project)

## Citation

```tex
@misc{doccano,
  title={{doccano}: Text Annotation Tool for Human},
  url={https://github.com/doccano/doccano},
  note={Software available from https://github.com/doccano/doccano},
  author={
    Hiroki Nakayama and
    Takahiro Kubo and
    Junya Kamura and
    Yasufumi Taniguchi and
    Xu Liang},
  year={2018},
}
```

## Contact

For help and feedback, please feel free to contact [the author](https://github.com/Hironsan).



%prep
%autosetup -n doccano-1.8.3

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-doccano -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8.3-1
- Package Spec generated