* only ranking assistant replies by default
* add tasks/availability endpoint allow to specify desired task
* move rank_prompter_replies option to TreeManagerConfiguration
* fix type annotation
* remove desired_task_type from _random_task_selection()
* fix typo
* Convert query_tree_size to sqlachemy, return 'full' text-labeling tasks if they were explicitly requested
* add query_incomplete_rankings()
* Add SQL queries for TreeManager task selection
* first working version of TreeManager.next_task()
* remove old generate_task(), add mandatory_labels to text_labels task
* Add ConversationMessage list to Ranking tasks
* add more sophisticated sql queries to find extendible trees
* add TreeManager.query_extendible_parents()
* fix task validation, seed data insertion (reviewed)
* provide user for task selection in text-frontend
* enter 'growing' state
* enter 'aborted_low_grade' state
* enter 'ranking' state
* check tree 'growing' state upon relpy insertion
* exclude user from labeling their own messages (added DEBUG_ALLOW_SELF_LABELING setting)
* add DEBUG_ALLOW_SELF_LABELING to docker-compose.yaml
* fix ranking submission
* add query_tree_ranking_results()
* add ranked_message_ids to RankingReactionPayload
* fix reply_messages instead of prompt_messages
* incorment 'ranking_count' of ranked replies
* added logic to check_condition_for_scoring_state
* changes to msg_tree_state_machine
* pre-commit changes
* enter 'ready_for_scoring' state
* re-add HF embedding call (lost during merge)
* use prepare_conversation() helper for seed-data creation
* Partially add user specified task selection
Co-authored-by: Daniel Hug <danielpatrickhug@gmail.com>
* Extract classes UserRepository and TaskRepository from PromptRepository
* move close_task() to TaskRepository and get_user_leaderboard to UserRepository()
* Use UserRepository in leaderboards endpoint, add type annotation to leaderboards endpoint
* update ConversationMessage in protocal.py
* updated ConversationMessage instantiations in tasks.py and util.py to include message_id and frontend_message_id
* changed message_id and frontend_message_id to type UUID
* update ConversationMessage instantiation in main.py to include message_id and frontend_message_id"
* changed frontend_message_id to type str
* ran precomit
* Implement label task for initial prompts and replies
* Resolve formatting
* Include missing argument
* Modify text_labels API to match new model, update DB schema accordingly
* Send valid labels as part of label tasks
* Send correctly formatted valid_labels list
* Fix request format
* Fix request details for text-frontend reply label task
* Include message_id in tasks
* Address review comments
* Fix alembic tree
Andreas Köpf