# README
DP Upload Service
Introduction
The Upload Service is part of the Static Files System. This service is responsible for storing the metadata and state of files.
The service enables consumers to upload a large file (Maximum 5GB) in multiple parts (Maximum 1000 - Each part must be 5MB, except the last part, which can be smaller)
The file will be stored in AWS S3.
It used the Files API to store the information about a file and is state.
REST API
The service is fully documented in Swagger Docs
Deprecated Endpoints
Upload service has been updated with a new upload endpoint /upload-new
. This endpoint enables consumers to upload any
type of file and uses Files API to store the relevant metadata.
The old URL /upload
requires the uploading consumer to store its own metadata about the file.
Once all existing consumers have been moved from using /upload
to using /upload-new
all the existing /upload
endpoints
and their related code can be removed.
S3 Buckets
The /upload
endpoint saves files to the S3 bucket configured in the UPLOAD_BUCKET_NAME
environment
variable. Once the file
is uploaded, other services within DP take the file for further processing. Once the processing is complete the new files
are stored in a separate S3 bucket ready for download/decryption.
The /upload-new
endpoint saves files to the S3 bucket configured in
the STATIC_FILES_ENCRYPTED_BUCKET_NAME
environment
variable. This S3 bucket is the same one used for uploading files at the end of CMD Dataset file processing.
Getting started
- Run
make docker-local
- Run (inside container)
make debug
Dependencies
- No further dependencies other than those defined in
go.mod
Configuration
Environment variable | Default | Description |
---|---|---|
BIND_ADDR | :25100 | The host and port to bind to |
AWS_REGION | eu-west-2 | S3 region to use. This region has to match the region where the bucket was created |
UPLOAD_BUCKET_NAME | testing | Name of the S3 bucket that dataset uploads are sent to |
STATIC_FILES_ENCRYPTED_BUCKET_NAME | - | Name of the S3 bucket that static file uploads are sent to |
GRACEFUL_SHUTDOWN_TIMEOUT | 5s | The graceful shutdown timeout in seconds (time.Duration format) |
HEALTHCHECK_INTERVAL | 30s | Time between self-healthchecks (time.Duration format) |
HEALTHCHECK_CRITICAL_TIMEOUT | 90s | Time to wait until an unhealthy dependent propagates its state to make this app unhealthy (time.Duration format) |
FILES_API_URL | - | |
LOCALSTACK_HOST | - | The hostname of the localstack server used for integration testing |
5MB or less file uploads using cURL
Uploading a file
To upload a file using the curl
command, send a POST
request as form-data
using the parameters specified by Resumable struct
here to pass in your values into the payload. For example, this command uploads this README.md
file:
curl 'http://localhost:25100/upload-new' -H 'Content-Type: multipart/form-data' -H 'X-Florence-Token;' -H 'Cache-Control: no-cache' -F 'resumableFilename="README.md"' -F 'path="readme-md"' -F 'isPublishable="False"' -F 'collectionId="test-collection-id"' -F 'title="readme-file"' -F 'resumableTotalSize="6144"' -F 'resumableType="text/markdown"' -F 'licence="Open Government Licence v3.0"' -F 'licenceUrl="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/"' -F 'resumableChunkNumber="1"' -F 'resumableTotalChunks="1"' -F 'file=@"/Users/username/Downloads/README.md"' -F 'resumableChunkSize="5242880"' -F 'aliasName="readme"' -F 'resumableIdentifier="12345"'
The uploaded file can then be viewed as XML
in the testing
bucket at http://localhost:14566/testing
Downloading a file
To download an uploaded file using the curl
command, a GET
request can be made using the bucket name endpoint /testing
followed by the key <key>path/filename</key>
, for example:
curl 'http://localhost:14566/testing/readme-md/README.md' -X GET -L -O
The command downloads the uploaded file to the directory from which it is run.
API Client
There is an API Client for the Upload API this is part of dp-api-clients-go package.
Contributing
See CONTRIBUTING for details.
License
Copyright © 2022, Office for National Statistics (https://www.ons.gov.uk)
Released under MIT license, see LICENSE for details.