50963b724b
* Update sync responses * Fix positions, add ApplyUpdates * Fix MarshalText as non-pointer, PrevBatch is optional * Increment by number of read receipts * Merge branch 'master' into neilalexander/devicelist * Tweak typing * Include keyserver position tweak * Fix typing next position in all cases * Tweaks * Fix typo * Tweaks, restore StreamingToken.MarshalText which somehow went missing? * Rely on positions from notifier rather than manually advancing them * Revert "Rely on positions from notifier rather than manually advancing them" This reverts commit 53112a62cc3bfd9989acab518e69eeb27938117a. * Give invites their own position, fix other things * Fix test * Fix invites maybe * Un-whitelist tests that look to be genuinely wrong * Use real receipt positions * Ensure send-to-device uses real positions too |
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inthttp | ||
producers | ||
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keyserver.go | ||
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
toPerformUploadKeys
. - Client API maps
/keys/query
toQueryKeys
. - Client API maps
/keys/claim
toPerformClaimKeys
. - Federation API maps
/user/keys/query
toQueryKeys
. - Federation API maps
/user/keys/claim
toPerformClaimKeys
. - Sync API maps
/keys/changes
to consuming from the Kafka topic.