Message tree state machine (#555)

* 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>
This commit is contained in:
Andreas Köpf
2023-01-11 10:54:03 +01:00
committed by GitHub
co-authored by Daniel Hug
parent 23ff01c603
commit 14fa08e2e7
19 changed files with 1212 additions and 323 deletions
+12 -11
View File
@@ -18,19 +18,20 @@ def prepare_message_list(messages: list[Message]) -> list[protocol.Message]:
return [prepare_message(m) for m in messages]
def prepare_conversation(messages: list[Message]) -> protocol.Conversation:
conv_messages = []
for message in messages:
conv_messages.append(
protocol.ConversationMessage(
text=message.text,
is_assistant=(message.role == "assistant"),
message_id=message.id,
frontend_message_id=message.frontend_message_id,
)
def prepare_conversation_message_list(messages: list[Message]) -> list[protocol.ConversationMessage]:
return [
protocol.ConversationMessage(
text=message.text,
is_assistant=(message.role == "assistant"),
message_id=message.id,
frontend_message_id=message.frontend_message_id,
)
for message in messages
]
return protocol.Conversation(messages=conv_messages)
def prepare_conversation(messages: list[Message]) -> protocol.Conversation:
return protocol.Conversation(messages=prepare_conversation_message_list(messages))
def prepare_tree(tree: list[Message], tree_id: UUID) -> protocol.MessageTree: