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# Setup cloud storage |
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This document explains how to setup cloud storages to store the imported datasets to the cloud storage. The following cloud storages are supported in doccano: |
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- [Amazon S3](#amazon-s3) |
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- [Google Cloud Storage](#google-cloud-storage) |
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## Amazon S3 |
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The steps of connecting your Amazon S3 bucket to doccano to store the imported datasets. |
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- [Create credentials](#create-credentials) |
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- [Create a bucket](#create-a-bucket) |
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- [Create a .env file](#create-a-env-file) |
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### Create credentials |
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You must provide your AWS access keys to make programmatic calls to AWS. |
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When you create your access keys, you create the access key ID (for example, AKIAIOSFODNN7EXAMPLE) and secret access key (for example, wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY) as a set. The secret access key is available for download only when you create it. If you don't download your secret access key or if you lose it, you must create a new one. |
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1. Sign in to the AWS Management Console as an IAM user. For more information. |
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2. In the navigation bar on the upper right, choose your user name and then choose **My Security Credentials**. |
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3. To create an access key, choose **Create access key**. If you already have two access keys, this button is disabled and you must delete an access key before you can create a new one. When prompted, choose either **Show secret access key** or **Download .csv file**. This is your only opportunity to save your secret access key. After you've saved your secret access key in a secure location, chose **Close**. |
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### Create a bucket |
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To store your dataset to Amazon S3, you must first create an Amazon S3 bucket in one of the AWS Regions. When you create a bucket, you must choose a bucket name and Region. You can optionally choose other storage management options for the bucket. After you create a bucket, you cannot change the bucket name or Region. |
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1. Sign in to the AWS Management Console and open the Amazon S3 console. |
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2. Choose **Create bucket**. |
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3. In Bucket name, enter a name for your bucket(e.g. doccano). |
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4. In Region, choose the AWS Region where you want the bucket to reside. Choose a Region close to you to minimize latency and costs and address regulatory requirements. |
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5. Under Object Ownership, to disable or enable ACLs and control ownership of objects uploaded in your bucket, choose **ACLs disabled**. |
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6. In Bucket settings for Block Public Access, choose the Block Public Access settings that you want to apply to the bucket. |
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7. Choose Create bucket. |
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### Create a .env file |
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Once you create a credential and a bucket, you must create a `.env` file: |
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```bash |
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DJANGO_SETTINGS_MODULE=config.settings.aws |
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AWS_ACCESS_KEY_ID={SET_YOUR_KEY} |
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AWS_SECRET_ACCESS_KEY={SET_YOUR_SECRET_KEY} |
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REGION_NAME=us-west-1 |
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BUCKET_NAME=doccano |
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``` |
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## Google Cloud Storage |
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The steps of connecting your Google Cloud Storage bucket to doccano to store the imported datasets. |
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- [Create credentials](#create-credentials-1) |
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- [Create a .env file](#create-a-env-file-1) |
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### Create credentials |
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Create a service account: |
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1. In the Cloud Console, go to the [Create service account](https://console.cloud.google.com/projectselector2/iam-admin/serviceaccounts/create) page. |
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2. Select your project. |
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3. In the **Service account name** field, enter a name. The Cloud Console fills in the **Service account ID** field based on this name. In the **Service account description** field, enter a description. For example, Service account for quickstart. |
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4. Click **Create and continue**. |
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5. To provide access to your project, grant the following role(s) to your service account: **Cloud Storage > Storage Admin**. |
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6. Click **Continue**. |
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7. Click **Done** to finish creating the service account. Do not close your browser window. You will use it in the next step. |
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Create a service account key: |
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1. In the Cloud Console, click the email address for the service account that you created. |
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2. Click **Keys**. |
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3. Click **Add key**, then click **Create new key**. |
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4. Click **Create**. A JSON key file is downloaded to your computer. |
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5. Click **Close**. |
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### Create a .env file |
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Once you create a credential and a bucket, you must create a `.env` file. Notice that the file contents differ slightly between the Pip and Docker versions: |
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```bash |
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DJANGO_SETTINGS_MODULE=config.settings.gcp |
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GS_PROJECT_ID={SET_YOUR_PROJECT_ID} |
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BUCKET_NAME=doccano |
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# In the case of Pip |
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GOOGLE_APPLICATION_CREDENTIALS={SET_CREDENTIAL_PATH} |
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# In the case of Docker |
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GOOGLE_APPLICATION_CREDENTIALS=/doccano/{SET_CREDENTIAL_PATH} |
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``` |
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## Run doccano with the .env file |
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### Pip |
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When you execute the `webserver` and `task` command, specify `--env_file` option: |
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```bash |
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doccano webserver --env_file=.env |
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doccano task --env_file=.env |
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``` |
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### Docker |
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```bash |
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# Create a container |
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docker container create --name doccano \ |
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-e "ADMIN_USERNAME=admin" \ |
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-e "ADMIN_EMAIL=admin@example.com" \ |
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-e "ADMIN_PASSWORD=password" \ |
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-v doccano-db:/data \ |
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--env-file .env \ |
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-p 8000:8000 doccano/doccano |
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# Notice that you must copy the credential in the case of Google Cloud Storage |
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docker cp {CREDENTIAL_PATH} doccano:/doccano/ |
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# Start the container |
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docker container start doccano |
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``` |
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## References |
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- [Understanding and getting your AWS credentials](https://docs.aws.amazon.com/general/latest/gr/aws-sec-cred-types.html) |
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- [Amazon S3/Creating a bucket](https://docs.aws.amazon.com/AmazonS3/latest/userguide/create-bucket-overview.html) |
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- [Google Cloud/Getting started with authentication](https://cloud.google.com/docs/authentication/getting-started) |
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