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dendrite/keyserver
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Kegsay 470933789b
Perform outbound federation hits for querying/claiming E2E keys (#1212) 
* Perform outbound federation hits for querying/claiming E2E keys

Untested currently because we need the receiving end to work
before sytest will be happy.

* Linting
2020-07-21 17:46:47 +01:00
..
api Implement claiming one-time keys locally (#1210) 2020-07-21 14:47:53 +01:00
internal Perform outbound federation hits for querying/claiming E2E keys (#1212) 2020-07-21 17:46:47 +01:00
inthttp Implement key uploads (#1202) 2020-07-15 12:02:34 +01:00
storage Implement claiming one-time keys locally (#1210) 2020-07-21 14:47:53 +01:00
keyserver.go Perform outbound federation hits for querying/claiming E2E keys (#1212) 2020-07-21 17:46:47 +01:00
README.md Add boilerplate for key server APIs (#1196) 2020-07-13 16:02:35 +01:00

README.md

Key Server

This is an internal component which manages E2E keys from clients. It handles all the Key Management APIs with the exception of /keys/changes which is handled by Sync API. This component is designed to shard by user ID.

Keys are uploaded and stored in this component, and key changes are emitted to a Kafka topic for downstream components such as Sync API.

Internal APIs

  • PerformUploadKeys stores identity keys and one-time public keys for given user(s).
  • PerformClaimKeys acquires one-time public keys for given user(s). This may involve outbound federation calls.
  • QueryKeys returns identity keys for given user(s). This may involve outbound federation calls. This component may then cache federated identity keys to avoid repeatedly hitting remote servers.
  • A topic which emits identity keys every time there is a change (addition or deletion).

### Endpoint mappings

  • Client API maps /keys/upload to PerformUploadKeys.
  • Client API maps /keys/query to QueryKeys.
  • Client API maps /keys/claim to PerformClaimKeys.
  • Federation API maps /user/keys/query to QueryKeys.
  • Federation API maps /user/keys/claim to PerformClaimKeys.
  • Sync API maps /keys/changes to consuming from the Kafka topic.