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v0.5.4

Migrated away from Poetry. The dependency management was getting very annoying, and it was quite different from the dependency management of all of the other mautrix Python bridges, so I switched to use setup.py and requirements.txt.

Features

  • Added login-manual option to log in to LinkedIn using a manual login flow.

    You can now pull the cookies manually from within an incognito browser after logging in instead of using the (very unreliable) old login method.

  • Added personal filtering space support.

Internal

  • Updated to mautrix>=0.18.7,<0.19.
  • Add support for SQLite.

v0.5.3

Migrated to GitHub. You should change all of your Docker images to point to ghcr rather than registry.gitlab.com. For example:

registry.gitlab.com/beeper/linkedin:latest

should become

ghcr.io/beeper/linkedin:latest

You'll also need to change your git commit URLs.

Features

  • Implemented typing notifications
  • Implemented read receipts

Other changes:

  • Switched to GitHub Actions for CI/CD
  • Added pre-commit config to help prevent bad pushes
  • Upgraded mautrix to ^0.17.6
  • Upgraded linkedin-messaging to ^0.5.2
  • Converted to use isort instead of flake8-import-order

v0.5.2

  • Upgraded mautrix to ^0.14.0
  • Major improvements across the board for message send status reporting via native Matrix notices and via message send checkpoints.

v0.5.1

  • Add support for shared feed posts.

v0.5.0

  • Upgraded mautrix to ^0.10.3
  • Upgraded asyncpg to >=0.23.0
  • Made the ruamel.yaml requirement less strict (^0.17.0)
  • Fixed a few errors with bridge state sending
  • Implemented support for the manhole
  • Add caching for user profile to improve speed of whoami calls
  • Add flags to track whether name, avatar, and topic are set on the portal
  • Fixed bug with initial setting of room avatars on DMs

v0.4.1

  • Upgraded mautrix to 0.10.1+
  • Implemented new bridge state pushing
  • Infra: added latest tag to the Docker image when running for a tag. Hopefully this helps speed up incremental builds in the future.

v0.4.0

  • Upgraded to support only Python 3.9+.
  • Added Prometheus metrics support.
  • Infrastructure: improved Docker container dependency management by moving more of the packages to use the Alpine-provided versions.
  • On DM rooms, set the topic to the other users' occupation and include a link to to their LinkedIn profile. This option can be turned off by setting bridge.set_topic_on_dms to false.
  • Added support for custom names on group chats and handling name change events.
  • Added handling for emote formatting on plain-text messages.
  • When a chat is read in Matrix, it is now marked as read in LinkedIn.
  • Improved handling of promotional InMail messages.
  • Bug fix: respect bridge.initial_chat_sync and backfill parameters.
  • Send more bridging errors to the room.

v0.3.0

  • Updated linkedin-messaging to v0.3.0.
  • Handle redactions to/from LinkedIn. (#18, #32, #37, #38)
  • Handle real-time reactions to/from LinkedIn. (#19, #31, #32)
  • Enabled sending app-service bot delivery receipts to the chat.
  • Fixed reaction database table primary key to support multiple reactions per user, per message.

v0.2.1

  • Added prometheus-client as an optional dependency.
  • Added a couple basic metrics to the bridge.

v0.2.0

  • Updated linkedin-messaging to v0.2.1.
  • Pinned python-olm at 3.2.1.
  • Implemented logout. (#56)
  • Migrated to GitLab from GitHub. Be sure to update your remotes!
  • Added automated Docker container build. See the image registry here: https://gitlab.com/beeper/linkedin-matrix/container_registry.
  • Changed real_user_content_key to com.sumnerevans.linkedin.puppet.
  • Added provisioning API for managing the bridge over HTTP(S).
  • Fixed some instances of text that was copied from other bridges to correctly reference LinkedIn.

v0.1.1

  • Fixed the bridge.resend_bridge_info option.
  • Addressed many linter errors.
  • Fixed handling of InMail messages.

v0.1.0

Initial Alpha release. Note that LinkedIn may flag the traffic from your account as suspicious due to using this bridge. We are not responsible if your account gets banned or locked. In the future, I hope to implement infinite incremental backfill using MSC2716 which should allow for rate-limiting and during backfill so it doesn't look like as much like a scraper bot.

The current feature set includes:

  • Backfill of messages from LinkedIn to Matrix
  • Message puppeting from LinkedIn -> Matrix in real-time
    • Supported message types: text, files, images, GIFs
    • Formatting supported: mentions
  • Message sending from Matrix to LinkedIn
    • Supported message types: text, files, images, videos, GIFs
    • Formatting supported: mentions, emotes
  • User metadata puppeting: profile picture, first/last name