This library lets you talk with the Metadisk API from Python 2.*. It offers both asynchronous callback-based programming and synchronous (blocking style.)
For Python 3 there is a requests-based API available here: https://github.com/hwkns/metadisk-python-sdk
- Finish download code
- Figure out max file size problem
- Add support for Python 3
To start using the API you first need to register a new user. This will be sent over HTTPS so don't worry about security.
import pymdc
user = pymdc.api.Users("your_email@some_domain.com", "your password")
user.register(){
u'id': u'[email protected]',
u'activated': False,
u'email': u'[email protected]',
u'created': u'2016-03-20T16:55:44.321Z'
}The user account is now created but it needs to be activated. The activation link can be found in your email. The link looks something like this: https://api.metadisk.org/activations/0aa6b301d0aa01f3e3580d0ab118e7257343325a41de20fb158dbbc7fd1225a5
Note the hex at the end -- this is the activation key. You can click the link directly or you can programmatically activate the account using the token.
user.activate("0aa6b301d0aa01f3e3580d0ab118e7257343325a41de20fb158dbbc7fd1225a5"){
u'id': u'[email protected]',
u'activated': True,
u'email': u'[email protected]',
u'created': u'2016-03-20T16:55:44.321Z'
}Now that you have an account its time to create an ECDSA key pair. The key pair will be associated with your account and used to sign all future requests against that account.
key_pair = pymdc.keypair.ECDSA()
keys = pymdc.api.keys.Keys(user)
keys.create(key_pair){
u'user': u'[email protected]',
u'key': u'03a31fa025888eef19833b204aead95192bc4b52f8447a8c8341920e1d9a437108',
u'id': u'03a31fa025888eef19833b204aead95192bc4b52f8447a8c8341920e1d9a437108'
}You can view the public keys associated with your account by listing them.
keys.list()[{
u'user': u'[email protected]',
u'key': u'03a31fa025888eef19833b204aead95192bc4b52f8447a8c8341920e1d9a437108',
u'id': u'03a31fa025888eef19833b204aead95192bc4b52f8447a8c8341920e1d9a437108'
}]Public keys can also be deleted.
keys.delete(key_pair)Btw, you can save your ECDSA key pair easily like this:
pub_key = key_pair.get_public_key()
priv_key = key_pair.get_private_key()
key_pair = pymdc.keypair.ECDSA(pub_key, priv_key)Now its time to create a bucket to store your files. Buckets are logical places to store related files and they define how much virtual space you can use (storage) and how much bandwidth can be consumed by downloads (transfer.)
buckets = pymdc.api.buckets.Buckets(key_pair)
storage = 10 # GB
transfer = 10 # GB
bucket_id = buckets.create("My cat pictures", storage, transfer, [key_pair]){
u'status': u'Active',
u'name': u'My cat pictures',
u'created': u'2016-03-20T17:13:42.590Z',
u'transfer': 10,
u'storage': 10,
u'user': u'[email protected]',
u'pubkeys': [u'03a49c80327f1726ea4cf3050169f36087b0c1232c765421428c704cedd68886ec'],
u'id': u'56eeda4656bf7b950faace4a'
}You can list all buckets from the account by doing this.
buckets.list()[{
u'status': u'Active',
u'name': u'My cat pictures',
u'created': u'2016-03-20T17:13:42.590Z',
u'transfer': 10,
u'storage': 10,
u'user': u'[email protected]',
u'pubkeys': [u'03a49c80327f1726ea4cf3050169f36087b0c1232c765421428c704cedd68886ec'],
u'id': u'56eeda4656bf7b950faace4a'
}]Now that you have a bucket its easy to list, update, and delete it.
bucket = pymdc.api.buckets.Bucket(bucket_id=u"56eeda4656bf7b950faace4a", key_pair=key_pair)Here's how to show meta data about a bucket.
bucket.list(){
u'status': u'Active',
u'name': u'My files',
u'created': u'2016-03-20T17:12:50.739Z',
u'transfer': 10,
u'storage': 10,
u'user': u'[email protected]',
u'pubkeys': [u'03a49c80327f1726ea4cf3050169f36087b0c1232c765421428c704cedd68886ec'],
u'id': u'56eeda1256bf7b950faace49'
}It's also easy to delete buckets.
bucket.delete()Now that you understand how to create a bucket it's time to try upload something, but first you need to create a PUSH token.
bucket.files.token("PUSH"){
u'operation': u'PUSH',
u'expires': u'2016-03-20T17:30:55.840Z',
u'bucket': u'56eedc7056bf7b950faace4b',
u'token': u'56b88113f5ecd4f56fa01336a06399e1586dee75069f963c522a9b38aba15c57',
u'id': u'56b88113f5ecd4f56fa01336a06399e1586dee75069f963c522a9b38aba15c57'
}Now lets upload a file for the first time.
path = r"""C:\Users\Matthew\Desktop\san_francisco.jpg"""
token = u'56b88113f5ecd4f56fa01336a06399e1586dee75069f963c522a9b38aba15c57'
bucket.files.upload(path, token){
u'mimetype': u'image/jpeg',
u'hash': u'5579439f51de8508db790f7fe1212d601afb5c51',
u'size': 68155,
u'bucket': u'56eee24d56bf7b950faace69',
u'filename': u'san_francisco.jpg'
}You can list meta data about the files in that bucket like this.
bucket.files.list()[{
u'mimetype': u'image/jpeg',
u'hash': u'5579439f51de8508db790f7fe1212d601afb5c51',
u'size': 68155,
u'bucket': u'56eee24d56bf7b950faace69',
u'filename': u'san_francisco.jpg'
}]Not yet implemented. Sorry about that.
All functions accept a callback parameter that defines the name of the function to receive the result. The result for that function is a dictionary representing the JSON returned from that call. Example.
def callback(result):
print("In callback.")
print(result)
user.register(callback=callback)
>>> In callback
{u'error': u'Email is already registered'}If you don't specify a callback for an API call then that call will block the main program and you will get a dictionary for the JSON result as the return value instead.
Since we're dealing with code talking over networks (which are unreliable) you can't assume every call will be successful. This library doesn't throw any explict errors but the result variable that callbacks take (and the return type) for sync calls can be an Exception object (urllib2.HTTPError, urllib2.URLerror, socket.error, Exception) so you might want to check for that.
Fin.