From 23bd1a010f17ea3c6e9f14abab01f04e1c655ba4 Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Mon, 18 Nov 2024 11:05:54 +0100 Subject: [PATCH] feat(max): Summarize insight results (#26172) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- ee/hogai/assistant.py | 78 ++++--- ee/hogai/funnels/test/test_nodes.py | 4 +- .../test/{test_router.py => test_nodes.py} | 0 ee/hogai/schema_generator/nodes.py | 1 + ee/hogai/schema_generator/test/test_nodes.py | 4 +- ee/hogai/summarizer/__init__.py | 0 ee/hogai/summarizer/nodes.py | 95 +++++++++ ee/hogai/summarizer/prompts.py | 17 ++ ee/hogai/summarizer/test/__init__.py | 0 ee/hogai/summarizer/test/test_nodes.py | 196 ++++++++++++++++++ ee/hogai/trends/test/test_nodes.py | 6 +- ee/hogai/utils.py | 1 + ...app-max-ai--empty-thread-loading--dark.png | Bin 11029 -> 11018 bytes ...pp-max-ai--empty-thread-loading--light.png | Bin 11160 -> 11131 bytes ...ax-ai--generation-failure-thread--dark.png | Bin 44264 -> 44368 bytes ...x-ai--generation-failure-thread--light.png | Bin 43409 -> 43454 bytes .../scenes-app-max-ai--thread--dark.png | Bin 68501 -> 72858 bytes .../scenes-app-max-ai--thread--light.png | Bin 65884 -> 70204 bytes ...i--thread-with-failed-generation--dark.png | Bin 16149 -> 16222 bytes ...--thread-with-failed-generation--light.png | Bin 16249 -> 16322 bytes frontend/src/lib/lemon-ui/icons/categories.ts | 12 +- frontend/src/queries/schema.json | 27 ++- frontend/src/queries/schema.ts | 11 + frontend/src/scenes/max/QuestionInput.tsx | 2 +- .../src/scenes/max/QuestionSuggestions.tsx | 2 + frontend/src/scenes/max/Thread.tsx | 184 +++++++++------- .../max/__mocks__/chatResponse.mocks.ts | 16 +- ...ilureResponse.json => failureMessage.json} | 0 .../scenes/max/__mocks__/summaryMessage.json | 5 + ...esponse.json => visualizationMessage.json} | 3 +- frontend/src/scenes/max/maxLogic.ts | 66 ++---- frontend/src/scenes/max/utils.ts | 5 + package.json | 6 +- pnpm-lock.yaml | 8 +- posthog/demo/matrix/manager.py | 1 + posthog/demo/products/hedgebox/matrix.py | 5 +- posthog/schema.py | 12 ++ 37 files changed, 596 insertions(+), 171 deletions(-) rename ee/hogai/router/test/{test_router.py => test_nodes.py} (100%) create mode 100644 ee/hogai/summarizer/__init__.py create mode 100644 ee/hogai/summarizer/nodes.py create mode 100644 ee/hogai/summarizer/prompts.py create mode 100644 ee/hogai/summarizer/test/__init__.py create mode 100644 ee/hogai/summarizer/test/test_nodes.py rename frontend/src/scenes/max/__mocks__/{failureResponse.json => failureMessage.json} (100%) create mode 100644 frontend/src/scenes/max/__mocks__/summaryMessage.json rename frontend/src/scenes/max/__mocks__/{chatResponse.json => visualizationMessage.json} (99%) diff --git a/ee/hogai/assistant.py b/ee/hogai/assistant.py index 37a171bf036..df200ae869c 100644 --- a/ee/hogai/assistant.py +++ b/ee/hogai/assistant.py @@ -5,6 +5,7 @@ from langchain_core.messages import AIMessageChunk from langfuse.callback import CallbackHandler from langgraph.graph.state import StateGraph from pydantic import BaseModel +from sentry_sdk import capture_exception from ee import settings from ee.hogai.funnels.nodes import ( @@ -15,6 +16,7 @@ from ee.hogai.funnels.nodes import ( ) from ee.hogai.router.nodes import RouterNode from ee.hogai.schema_generator.nodes import SchemaGeneratorNode +from ee.hogai.summarizer.nodes import SummarizerNode from ee.hogai.trends.nodes import ( TrendsGeneratorNode, TrendsGeneratorToolsNode, @@ -26,6 +28,8 @@ from posthog.models.team.team import Team from posthog.schema import ( AssistantGenerationStatusEvent, AssistantGenerationStatusType, + AssistantMessage, + FailureMessage, VisualizationMessage, ) @@ -123,7 +127,7 @@ class Assistant: generate_trends_node.router, path_map={ "tools": AssistantNodeName.TRENDS_GENERATOR_TOOLS, - "next": AssistantNodeName.END, + "next": AssistantNodeName.SUMMARIZER, }, ) @@ -160,10 +164,14 @@ class Assistant: generate_trends_node.router, path_map={ "tools": AssistantNodeName.FUNNEL_GENERATOR_TOOLS, - "next": AssistantNodeName.END, + "next": AssistantNodeName.SUMMARIZER, }, ) + summarizer_node = SummarizerNode(self._team) + builder.add_node(AssistantNodeName.SUMMARIZER, summarizer_node.run) + builder.add_edge(AssistantNodeName.SUMMARIZER, AssistantNodeName.END) + return builder.compile() def stream(self, conversation: Conversation) -> Generator[BaseModel, None, None]: @@ -185,33 +193,47 @@ class Assistant: # Send a chunk to establish the connection avoiding the worker's timeout. yield AssistantGenerationStatusEvent(type=AssistantGenerationStatusType.ACK) - for update in generator: - if is_state_update(update): - _, new_state = update - state = new_state + try: + for update in generator: + if is_state_update(update): + _, new_state = update + state = new_state - elif is_value_update(update): - _, state_update = update + elif is_value_update(update): + _, state_update = update - if AssistantNodeName.ROUTER in state_update and "messages" in state_update[AssistantNodeName.ROUTER]: - yield state_update[AssistantNodeName.ROUTER]["messages"][0] - elif intersected_nodes := state_update.keys() & VISUALIZATION_NODES.keys(): - # Reset chunks when schema validation fails. - chunks = AIMessageChunk(content="") + if ( + AssistantNodeName.ROUTER in state_update + and "messages" in state_update[AssistantNodeName.ROUTER] + ): + yield state_update[AssistantNodeName.ROUTER]["messages"][0] + elif intersected_nodes := state_update.keys() & VISUALIZATION_NODES.keys(): + # Reset chunks when schema validation fails. + chunks = AIMessageChunk(content="") - node_name = intersected_nodes.pop() - if "messages" in state_update[node_name]: - yield state_update[node_name]["messages"][0] - elif state_update[node_name].get("intermediate_steps", []): - yield AssistantGenerationStatusEvent(type=AssistantGenerationStatusType.GENERATION_ERROR) - - elif is_message_update(update): - langchain_message, langgraph_state = update[1] - for node_name, viz_node in VISUALIZATION_NODES.items(): - if langgraph_state["langgraph_node"] == node_name and isinstance(langchain_message, AIMessageChunk): - chunks += langchain_message # type: ignore - parsed_message = viz_node.parse_output(chunks.tool_calls[0]["args"]) - if parsed_message: - yield VisualizationMessage( - reasoning_steps=parsed_message.reasoning_steps, answer=parsed_message.answer + node_name = intersected_nodes.pop() + if "messages" in state_update[node_name]: + yield state_update[node_name]["messages"][0] + elif state_update[node_name].get("intermediate_steps", []): + yield AssistantGenerationStatusEvent(type=AssistantGenerationStatusType.GENERATION_ERROR) + elif AssistantNodeName.SUMMARIZER in state_update: + chunks = AIMessageChunk(content="") + yield state_update[AssistantNodeName.SUMMARIZER]["messages"][0] + elif is_message_update(update): + langchain_message, langgraph_state = update[1] + if isinstance(langchain_message, AIMessageChunk): + if langgraph_state["langgraph_node"] in VISUALIZATION_NODES.keys(): + chunks += langchain_message # type: ignore + parsed_message = VISUALIZATION_NODES[langgraph_state["langgraph_node"]].parse_output( + chunks.tool_calls[0]["args"] ) + if parsed_message: + yield VisualizationMessage( + reasoning_steps=parsed_message.reasoning_steps, answer=parsed_message.answer + ) + elif langgraph_state["langgraph_node"] == AssistantNodeName.SUMMARIZER: + chunks += langchain_message # type: ignore + yield AssistantMessage(content=chunks.content) + except Exception as e: + capture_exception(e) + yield FailureMessage() # This is an unhandled error, so we just stop further generation at this point diff --git a/ee/hogai/funnels/test/test_nodes.py b/ee/hogai/funnels/test/test_nodes.py index d7b42f7a872..59ba48ff6fa 100644 --- a/ee/hogai/funnels/test/test_nodes.py +++ b/ee/hogai/funnels/test/test_nodes.py @@ -33,7 +33,9 @@ class TestFunnelsGeneratorNode(ClickhouseTestMixin, APIBaseTest): self.assertEqual( new_state, { - "messages": [VisualizationMessage(answer=self.schema, plan="Plan", reasoning_steps=["step"])], + "messages": [ + VisualizationMessage(answer=self.schema, plan="Plan", reasoning_steps=["step"], done=True) + ], "intermediate_steps": None, }, ) diff --git a/ee/hogai/router/test/test_router.py b/ee/hogai/router/test/test_nodes.py similarity index 100% rename from ee/hogai/router/test/test_router.py rename to ee/hogai/router/test/test_nodes.py diff --git a/ee/hogai/schema_generator/nodes.py b/ee/hogai/schema_generator/nodes.py index f6e41c69027..6470c52c4fe 100644 --- a/ee/hogai/schema_generator/nodes.py +++ b/ee/hogai/schema_generator/nodes.py @@ -101,6 +101,7 @@ class SchemaGeneratorNode(AssistantNode, Generic[Q]): plan=generated_plan, reasoning_steps=message.reasoning_steps, answer=message.answer, + done=True, ) ], "intermediate_steps": None, diff --git a/ee/hogai/schema_generator/test/test_nodes.py b/ee/hogai/schema_generator/test/test_nodes.py index 961bd88de22..25f82e43d44 100644 --- a/ee/hogai/schema_generator/test/test_nodes.py +++ b/ee/hogai/schema_generator/test/test_nodes.py @@ -54,7 +54,9 @@ class TestSchemaGeneratorNode(ClickhouseTestMixin, APIBaseTest): self.assertEqual( new_state, { - "messages": [VisualizationMessage(answer=self.schema, plan="Plan", reasoning_steps=["step"])], + "messages": [ + VisualizationMessage(answer=self.schema, plan="Plan", reasoning_steps=["step"], done=True) + ], "intermediate_steps": None, }, ) diff --git a/ee/hogai/summarizer/__init__.py b/ee/hogai/summarizer/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/ee/hogai/summarizer/nodes.py b/ee/hogai/summarizer/nodes.py new file mode 100644 index 00000000000..8d5e8a406f4 --- /dev/null +++ b/ee/hogai/summarizer/nodes.py @@ -0,0 +1,95 @@ +import json +from time import sleep +from django.conf import settings +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.runnables import RunnableConfig +from langchain_openai import ChatOpenAI +from django.core.serializers.json import DjangoJSONEncoder +from rest_framework.exceptions import APIException +from sentry_sdk import capture_exception + +from ee.hogai.summarizer.prompts import SUMMARIZER_SYSTEM_PROMPT, SUMMARIZER_INSTRUCTION_PROMPT +from ee.hogai.utils import AssistantNode, AssistantNodeName, AssistantState +from posthog.api.services.query import process_query_dict +from posthog.clickhouse.client.execute_async import get_query_status +from posthog.errors import ExposedCHQueryError +from posthog.hogql.errors import ExposedHogQLError +from posthog.hogql_queries.query_runner import ExecutionMode +from posthog.schema import AssistantMessage, FailureMessage, HumanMessage, VisualizationMessage + + +class SummarizerNode(AssistantNode): + name = AssistantNodeName.SUMMARIZER + + def run(self, state: AssistantState, config: RunnableConfig): + viz_message = state["messages"][-1] + if not isinstance(viz_message, VisualizationMessage): + raise ValueError("Can only run summarization with a visualization message as the last one in the state") + if viz_message.answer is None: + raise ValueError("Did not found query in the visualization message") + + try: + results_response = process_query_dict( # type: ignore + self._team, # TODO: Add user + viz_message.answer.model_dump(mode="json"), # We need mode="json" so that + # Celery doesn't run in tests, so there we use force_blocking instead + # This does mean that the waiting logic is not tested + execution_mode=ExecutionMode.RECENT_CACHE_CALCULATE_ASYNC_IF_STALE + if not settings.TEST + else ExecutionMode.CALCULATE_BLOCKING_ALWAYS, + ).model_dump(mode="json") + if results_response.get("query_status") and not results_response["query_status"]["complete"]: + query_id = results_response["query_status"]["id"] + for i in range(0, 999): + sleep(i / 2) # We start at 0.5s and every iteration we wait 0.5s more + query_status = get_query_status(team_id=self._team.pk, query_id=query_id) + if query_status.error: + if query_status.error_message: + raise APIException(query_status.error_message) + else: + raise ValueError("Query failed") + if query_status.complete: + results_response = query_status.results + break + except (APIException, ExposedHogQLError, ExposedCHQueryError) as err: + err_message = str(err) + if isinstance(err, APIException): + if isinstance(err.detail, dict): + err_message = ", ".join(f"{key}: {value}" for key, value in err.detail.items()) + elif isinstance(err.detail, list): + err_message = ", ".join(map(str, err.detail)) + return {"messages": [FailureMessage(content=f"There was an error running this query: {err_message}")]} + except Exception as err: + capture_exception(err) + return {"messages": [FailureMessage(content="There was an unknown error running this query.")]} + + summarization_prompt = ChatPromptTemplate(self._construct_messages(state), template_format="mustache") + + chain = summarization_prompt | self._model + + message = chain.invoke( + { + "query_kind": viz_message.answer.kind, + "product_description": self._team.project.product_description, + "results": json.dumps(results_response["results"], cls=DjangoJSONEncoder), + }, + config, + ) + + return {"messages": [AssistantMessage(content=str(message.content), done=True)]} + + @property + def _model(self): + return ChatOpenAI(model="gpt-4o", temperature=0.5, streaming=True) # Slightly higher temp than earlier steps + + def _construct_messages(self, state: AssistantState) -> list[tuple[str, str]]: + conversation: list[tuple[str, str]] = [("system", SUMMARIZER_SYSTEM_PROMPT)] + + for message in state.get("messages", []): + if isinstance(message, HumanMessage): + conversation.append(("human", message.content)) + elif isinstance(message, AssistantMessage): + conversation.append(("assistant", message.content)) + + conversation.append(("human", SUMMARIZER_INSTRUCTION_PROMPT)) + return conversation diff --git a/ee/hogai/summarizer/prompts.py b/ee/hogai/summarizer/prompts.py new file mode 100644 index 00000000000..bf2272d9d4c --- /dev/null +++ b/ee/hogai/summarizer/prompts.py @@ -0,0 +1,17 @@ +SUMMARIZER_SYSTEM_PROMPT = """ +Act as an expert product manager. Your task is to summarize query results in a a concise way. +Offer actionable feedback if possible. Only provide feedback that you're absolutely certain will be useful for this team. + +The product being analyzed is described as follows: +{{product_description}}""" + +SUMMARIZER_INSTRUCTION_PROMPT = """ +Here are the {{query_kind}} results for this question: +```json +{{results}} +``` + +Answer my earlier question using the results above. Point out interesting trends or anomalies. +Take into account what you know about my product. If possible, offer actionable feedback, but avoid generic advice. +Limit yourself to a few sentences. The answer needs to be high-impact and relevant for me as a Silicon Valley engineer. +""" diff --git a/ee/hogai/summarizer/test/__init__.py b/ee/hogai/summarizer/test/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/ee/hogai/summarizer/test/test_nodes.py b/ee/hogai/summarizer/test/test_nodes.py new file mode 100644 index 00000000000..b0e8cdcd37f --- /dev/null +++ b/ee/hogai/summarizer/test/test_nodes.py @@ -0,0 +1,196 @@ +from unittest.mock import patch + +from django.test import override_settings +from langchain_core.runnables import RunnableLambda +from langchain_core.messages import ( + HumanMessage as LangchainHumanMessage, +) +from ee.hogai.summarizer.nodes import SummarizerNode +from ee.hogai.summarizer.prompts import SUMMARIZER_INSTRUCTION_PROMPT, SUMMARIZER_SYSTEM_PROMPT +from posthog.schema import ( + AssistantMessage, + AssistantTrendsEventsNode, + AssistantTrendsQuery, + FailureMessage, + HumanMessage, + VisualizationMessage, +) +from rest_framework.exceptions import ValidationError +from posthog.test.base import APIBaseTest, ClickhouseTestMixin +from posthog.api.services.query import process_query_dict + + +@override_settings(IN_UNIT_TESTING=True) +class TestSummarizerNode(ClickhouseTestMixin, APIBaseTest): + maxDiff = None + + @patch("ee.hogai.summarizer.nodes.process_query_dict", side_effect=process_query_dict) + def test_node_runs(self, mock_process_query_dict): + node = SummarizerNode(self.team) + with patch.object(SummarizerNode, "_model") as generator_model_mock: + generator_model_mock.return_value = RunnableLambda( + lambda _: LangchainHumanMessage(content="The results indicate foobar.") + ) + new_state = node.run( + { + "messages": [ + HumanMessage(content="Text"), + VisualizationMessage( + answer=AssistantTrendsQuery(series=[AssistantTrendsEventsNode()]), + plan="Plan", + reasoning_steps=["step"], + done=True, + ), + ], + "plan": "Plan", + }, + {}, + ) + mock_process_query_dict.assert_called_once() # Query processing started + self.assertEqual( + new_state, + { + "messages": [ + AssistantMessage(content="The results indicate foobar.", done=True), + ], + }, + ) + + @patch( + "ee.hogai.summarizer.nodes.process_query_dict", + side_effect=ValueError("You have not glibbled the glorp before running this."), + ) + def test_node_handles_internal_error(self, mock_process_query_dict): + node = SummarizerNode(self.team) + with patch.object(SummarizerNode, "_model") as generator_model_mock: + generator_model_mock.return_value = RunnableLambda( + lambda _: LangchainHumanMessage(content="The results indicate foobar.") + ) + new_state = node.run( + { + "messages": [ + HumanMessage(content="Text"), + VisualizationMessage( + answer=AssistantTrendsQuery(series=[AssistantTrendsEventsNode()]), + plan="Plan", + reasoning_steps=["step"], + done=True, + ), + ], + "plan": "Plan", + }, + {}, + ) + mock_process_query_dict.assert_called_once() # Query processing started + self.assertEqual( + new_state, + { + "messages": [ + FailureMessage(content="There was an unknown error running this query."), + ], + }, + ) + + @patch( + "ee.hogai.summarizer.nodes.process_query_dict", + side_effect=ValidationError( + "This query exceeds the capabilities of our picolator. Try de-brolling its flim-flam." + ), + ) + def test_node_handles_exposed_error(self, mock_process_query_dict): + node = SummarizerNode(self.team) + with patch.object(SummarizerNode, "_model") as generator_model_mock: + generator_model_mock.return_value = RunnableLambda( + lambda _: LangchainHumanMessage(content="The results indicate foobar.") + ) + new_state = node.run( + { + "messages": [ + HumanMessage(content="Text"), + VisualizationMessage( + answer=AssistantTrendsQuery(series=[AssistantTrendsEventsNode()]), + plan="Plan", + reasoning_steps=["step"], + done=True, + ), + ], + "plan": "Plan", + }, + {}, + ) + mock_process_query_dict.assert_called_once() # Query processing started + self.assertEqual( + new_state, + { + "messages": [ + FailureMessage( + content=( + "There was an error running this query: This query exceeds the capabilities of our picolator. " + "Try de-brolling its flim-flam." + ) + ), + ], + }, + ) + + def test_node_requires_a_viz_message_in_state(self): + node = SummarizerNode(self.team) + + with self.assertRaisesMessage( + ValueError, "Can only run summarization with a visualization message as the last one in the state" + ): + node.run( + { + "messages": [ + HumanMessage(content="Text"), + ], + "plan": "Plan", + }, + {}, + ) + + def test_node_requires_viz_message_in_state_to_have_query(self): + node = SummarizerNode(self.team) + + with self.assertRaisesMessage(ValueError, "Did not found query in the visualization message"): + node.run( + { + "messages": [ + VisualizationMessage( + answer=None, + plan="Plan", + reasoning_steps=["step"], + done=True, + ), + ], + "plan": "Plan", + }, + {}, + ) + + def test_agent_reconstructs_conversation(self): + self.project.product_description = "Dating app for lonely hedgehogs." + self.project.save() + node = SummarizerNode(self.team) + + history = node._construct_messages( + { + "messages": [ + HumanMessage(content="What's the trends in signups?"), + VisualizationMessage( + answer=AssistantTrendsQuery(series=[AssistantTrendsEventsNode()]), + plan="Plan", + reasoning_steps=["step"], + done=True, + ), + ] + } + ) + self.assertEqual( + history, + [ + ("system", SUMMARIZER_SYSTEM_PROMPT), + ("human", "What's the trends in signups?"), + ("human", SUMMARIZER_INSTRUCTION_PROMPT), + ], + ) diff --git a/ee/hogai/trends/test/test_nodes.py b/ee/hogai/trends/test/test_nodes.py index 334d321f5ae..03c2ac85ea7 100644 --- a/ee/hogai/trends/test/test_nodes.py +++ b/ee/hogai/trends/test/test_nodes.py @@ -14,6 +14,8 @@ from posthog.test.base import APIBaseTest, ClickhouseTestMixin @override_settings(IN_UNIT_TESTING=True) class TestTrendsGeneratorNode(ClickhouseTestMixin, APIBaseTest): + maxDiff = None + def setUp(self): self.schema = AssistantTrendsQuery(series=[]) @@ -33,7 +35,9 @@ class TestTrendsGeneratorNode(ClickhouseTestMixin, APIBaseTest): self.assertEqual( new_state, { - "messages": [VisualizationMessage(answer=self.schema, plan="Plan", reasoning_steps=["step"])], + "messages": [ + VisualizationMessage(answer=self.schema, plan="Plan", reasoning_steps=["step"], done=True) + ], "intermediate_steps": None, }, ) diff --git a/ee/hogai/utils.py b/ee/hogai/utils.py index 74e12ee2d75..60fa74fc230 100644 --- a/ee/hogai/utils.py +++ b/ee/hogai/utils.py @@ -50,6 +50,7 @@ class AssistantNodeName(StrEnum): FUNNEL_PLANNER_TOOLS = "funnel_planner_tools" FUNNEL_GENERATOR = "funnel_generator" FUNNEL_GENERATOR_TOOLS = "funnel_generator_tools" + SUMMARIZER = "summarizer" class AssistantNode(ABC): diff --git a/frontend/__snapshots__/scenes-app-max-ai--empty-thread-loading--dark.png b/frontend/__snapshots__/scenes-app-max-ai--empty-thread-loading--dark.png index eedf3e01916a0813e55301444130f3eacaceb829..8c043460ab552ad771655d67b65d3dbcc75af4c8 100644 GIT binary patch literal 11018 zcmdUVXH*ky*KR;W1ZgT=K&pyT9;HafARy9vlYj+~8tD+afFL}8fP!=o1*AoZ5Fmso zMU*PN6OT5C5bJIg05Jv5L zca0&C(_jN!|*l+EbL&A4U!pxNN+<88A}nmZ+h?`S>||Ji-8R_d9_{}^;tqq`Y8bW8_#HR;jV|}Y^mTRV z{EQ%wfoC-KPsd6JU9m7E%R8qekJEhgjEv61l?e!p1(NSHpL_2+D^t_=ERW{m2F+}R zwP%p=dAxB?q&QVbJ7g|6ZmN(Zlbp=zh$57hEhTYBdScN3IpluNsbrF`hZ=1NTOR^<3M0;ymoAQ7k(Qo4CaqZ=^*^6flv|yu zbKW#y5IrWt1q61RLRwn}GIv(`ucwL2*M^b0S9#b&C|$LmAOEZQIO5U3c*N04aBEgq zQE?t3m|Q;x9IMg>welw2E;hc*E`SWt5jR1#@_tfw*m|#4gS|g-B(^_KWBGyw1be-S zsDU+R9{v85BE=H7Rp*pfWnDo*9Oh{>PJLCq_`!p3d8i^!aebUw^~hBDw0ia9HVNW) zGYdA7IS6q2n=}~6da0TT_FuND(G#y1A`p zZs$>g`q7^r zM%G@*3;1$p!puO0T+Z@mWb=YejmPr9=jQx~Q?Ouy8D$8ux8{HvjbdS754K~oE#sDP zxg9j5wYixPtYeLK8Lc<#_@@wFx4rhVEs=Lm96l!OdE6j5kot8{023P<>$f_#L-3x& zUr|}{!{~@t(X8X-)Rk|W)3I_`gn>tWF(tjfhMUAWZx4CBwk~qKUQ#8CJ5RGEMlD$w zLaISIgqHpwi&^43;`XEG)120jlu>7V&1Zj&2J%}5G#^x$ZcBPm#o&74LHF4?uBizC| zv)}rt|G?rVkDQ0ORt8__Vklk#ys_MyfhphYZwGD-6ecMLy07ybGS?C!nN`gqyG#s@ zo6(NN63U9cgpX6OhFJ~@Ci?VLdC$f}xw(Y})s5-L$_V0WKYXLkdtqR6m02~QSZ~=} zzu5IKYki0RnMn_f%on)xbLNWvi|FXktzJyEi$?lkWg@4F^ev(7`QL@49Udj`p-Tc$ zgD$oks}`)RzxPx(ERn9H6Wbp@IzwY^;Jm+iT5L9O`~#Qz3e*)TLmrocBUze$Kf7^o zFf6t-_T(lo9QJ31=V#T?_Z=?sAv0lo{kvRI&nt&I&zb!s)uSZJ#-xs>Ka%oFg-mM@M6QsqRY=5! 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'IconPeopleFilled', 'IconPerson', 'IconProfile', 'IconUser', 'IconGroups'], + People: [ + 'IconPeople', + 'IconPeopleFilled', + 'IconPerson', + 'IconProfile', + 'IconUser', + 'IconGroups', + 'IconShieldPeople', + ], 'Business & Finance': ['IconStore', 'IconCart', 'IconReceipt', 'IconPiggyBank', 'IconHandMoney'], Time: ['IconHourglass', 'IconCalendar', 'IconClock'], Nature: ['IconDay', 'IconNight', 'IconGlobe', 'IconCloud', 'IconBug'], @@ -183,6 +192,7 @@ export const TEAMS_AND_COMPANIES = { 'IconPageChart', 'IconSampling', 'IconLive', + 'IconRefresh', 'IconBadge', ], Replay: [ diff --git a/frontend/src/queries/schema.json b/frontend/src/queries/schema.json index 805533b1f5c..2b74ea5a304 100644 --- a/frontend/src/queries/schema.json +++ b/frontend/src/queries/schema.json @@ -1089,6 +1089,10 @@ "content": { "type": "string" }, + "done": { + "description": "We only need this \"done\" value to tell when the particular message is finished during its streaming. It won't be necessary when we optimize streaming to NOT send the entire message every time a character is added.", + "type": "boolean" + }, "type": { "const": "ai", "type": "string" @@ -6296,12 +6300,16 @@ "content": { "type": "string" }, + "done": { + "const": true, + "type": "boolean" + }, "type": { "const": "ai/failure", "type": "string" } }, - "required": ["type"], + "required": ["type", "done"], "type": "object" }, "FeaturePropertyFilter": { @@ -7618,12 +7626,17 @@ "content": { "type": "string" }, + "done": { + "const": true, + "description": "Human messages are only appended when done.", + "type": "boolean" + }, "type": { "const": "human", "type": "string" } }, - "required": ["type", "content"], + "required": ["type", "content", "done"], "type": "object" }, "InsightActorsQuery": { @@ -11687,12 +11700,17 @@ "content": { "type": "string" }, + "done": { + "const": true, + "description": "Router messages are not streamed, so they can only be done.", + "type": "boolean" + }, "type": { "const": "ai/router", "type": "string" } }, - "required": ["type", "content"], + "required": ["type", "content", "done"], "type": "object" }, "SamplingRate": { @@ -12837,6 +12855,9 @@ } ] }, + "done": { + "type": "boolean" + }, "plan": { "type": "string" }, diff --git a/frontend/src/queries/schema.ts b/frontend/src/queries/schema.ts index 4ea06bcbb8f..2697ecc4b95 100644 --- a/frontend/src/queries/schema.ts +++ b/frontend/src/queries/schema.ts @@ -2478,11 +2478,18 @@ export enum AssistantMessageType { export interface HumanMessage { type: AssistantMessageType.Human content: string + /** Human messages are only appended when done. */ + done: true } export interface AssistantMessage { type: AssistantMessageType.Assistant content: string + /** + * We only need this "done" value to tell when the particular message is finished during its streaming. + * It won't be necessary when we optimize streaming to NOT send the entire message every time a character is added. + */ + done?: boolean } export interface VisualizationMessage { @@ -2490,16 +2497,20 @@ export interface VisualizationMessage { plan?: string reasoning_steps?: string[] | null answer?: AssistantTrendsQuery | AssistantFunnelsQuery + done?: boolean } export interface FailureMessage { type: AssistantMessageType.Failure content?: string + done: true } export interface RouterMessage { type: AssistantMessageType.Router content: string + /** Router messages are not streamed, so they can only be done. */ + done: true } export type RootAssistantMessage = diff --git a/frontend/src/scenes/max/QuestionInput.tsx b/frontend/src/scenes/max/QuestionInput.tsx index f39eb4d1132..55ea5371230 100644 --- a/frontend/src/scenes/max/QuestionInput.tsx +++ b/frontend/src/scenes/max/QuestionInput.tsx @@ -25,7 +25,7 @@ export function QuestionInput(): JSX.Element { className={clsx( !isFloating ? 'w-[min(44rem,100%)] relative' - : 'w-full max-w-200 sticky z-10 self-center p-1 mx-3 mb-3 bottom-3 border border-[var(--glass-border-3000)] rounded-[0.625rem] backdrop-blur bg-[var(--glass-bg-3000)]' + : 'w-full max-w-192 sticky z-10 self-center p-1 mx-4 mb-3 bottom-3 border border-[var(--glass-border-3000)] rounded-[0.625rem] backdrop-blur bg-[var(--glass-bg-3000)]' )} > } + center + className="shrink" > {suggestion} diff --git a/frontend/src/scenes/max/Thread.tsx b/frontend/src/scenes/max/Thread.tsx index 8a2f299a312..a4fa9132987 100644 --- a/frontend/src/scenes/max/Thread.tsx +++ b/frontend/src/scenes/max/Thread.tsx @@ -1,4 +1,5 @@ import { + IconRefresh, IconThumbsDown, IconThumbsDownFilled, IconThumbsUp, @@ -11,91 +12,71 @@ import clsx from 'clsx' import { useActions, useValues } from 'kea' import { BreakdownSummary, PropertiesSummary, SeriesSummary } from 'lib/components/Cards/InsightCard/InsightDetails' import { TopHeading } from 'lib/components/Cards/InsightCard/TopHeading' -import { IconRefresh } from 'lib/lemon-ui/icons' import { IconOpenInNew } from 'lib/lemon-ui/icons' +import { LemonMarkdown } from 'lib/lemon-ui/LemonMarkdown' import posthog from 'posthog-js' import React, { useMemo, useRef, useState } from 'react' import { urls } from 'scenes/urls' import { Query } from '~/queries/Query/Query' -import { AssistantMessageType, HumanMessage, InsightVizNode, NodeKind, VisualizationMessage } from '~/queries/schema' +import { + AssistantMessage, + AssistantMessageType, + FailureMessage, + HumanMessage, + InsightVizNode, + NodeKind, + VisualizationMessage, +} from '~/queries/schema' import { maxLogic, MessageStatus, ThreadMessage } from './maxLogic' -import { castAssistantQuery, isFailureMessage, isHumanMessage, isVisualizationMessage } from './utils' +import { + castAssistantQuery, + isAssistantMessage, + isFailureMessage, + isHumanMessage, + isVisualizationMessage, +} from './utils' export function Thread(): JSX.Element | null { const { thread, threadLoading } = useValues(maxLogic) - const { retryLastMessage } = useActions(maxLogic) return (

) } -const Message = React.forwardRef< +const MessageTemplate = React.forwardRef< HTMLDivElement, - React.PropsWithChildren<{ type: 'human' | 'ai'; className?: string; action?: React.ReactNode }> ->(function Message({ type, children, className, action }, ref): JSX.Element { + { type: 'human' | 'ai'; className?: string; action?: React.ReactNode; children: React.ReactNode } +>(function MessageTemplate({ type, children, className, action }, ref) { if (type === AssistantMessageType.Human) { return (
@@ -105,7 +86,7 @@ const Message = React.forwardRef< } return ( -
+
{children}
@@ -114,14 +95,41 @@ const Message = React.forwardRef< ) }) -function Answer({ +const TextAnswer = React.forwardRef< + HTMLDivElement, + { message: (AssistantMessage | FailureMessage) & ThreadMessage; index: number } +>(function TextAnswer({ message, index }, ref) { + const { thread } = useValues(maxLogic) + + return ( + + ) : message.type === 'ai' && + message.status === 'completed' && + (thread[index + 1] === undefined || thread[index + 1].type === 'human') ? ( + // Show answer actions if the assistant's response is complete at this point + + ) : null + } + > + + {message.content || '*Max has failed to generate an answer. Please try again.*'} + + + ) +}) + +function VisualizationAnswer({ message, status, - previousMessage, }: { message: VisualizationMessage status?: MessageStatus - previousMessage: ThreadMessage }): JSX.Element { const query = useMemo(() => { if (message.answer) { @@ -138,7 +146,7 @@ function Answer({ return ( <> {message.reasoning_steps && ( - {step} ))} - + )} {status === 'completed' && query && ( <> - +
@@ -178,36 +186,55 @@ function Answer({
- - {isHumanMessage(previousMessage) && ( - - )} + )} ) } -function AnswerActions({ - message, - previousMessage, -}: { - message: VisualizationMessage - previousMessage: HumanMessage -}): JSX.Element { +function RetriableAnswerActions(): JSX.Element { + const { retryLastMessage } = useActions(maxLogic) + + return ( + } + type="secondary" + size="small" + tooltip="Try again" + onClick={() => retryLastMessage()} + > + Try again + + ) +} + +function SuccessfulAnswerActions({ messageIndex }: { messageIndex: number }): JSX.Element { + const { thread } = useValues(maxLogic) + const { retryLastMessage } = useActions(maxLogic) + const [rating, setRating] = useState<'good' | 'bad' | null>(null) const [feedback, setFeedback] = useState('') const [feedbackInputStatus, setFeedbackInputStatus] = useState<'hidden' | 'pending' | 'submitted'>('hidden') const hasScrolledFeedbackInputIntoView = useRef(false) + const [relevantHumanMessage, relevantVisualizationMessage] = useMemo(() => { + // We need to find the relevant visualization message (which might be a message earlier if the most recent one + // is a results summary message), and the human message that triggered it. + const relevantMessages = thread.slice(0, messageIndex + 1).reverse() + const visualizationMessage = relevantMessages.find(isVisualizationMessage) as VisualizationMessage + const humanMessage = relevantMessages.find(isHumanMessage) as HumanMessage + return [humanMessage, visualizationMessage] + }, [thread, messageIndex]) + function submitRating(newRating: 'good' | 'bad'): void { if (rating) { return // Already rated } setRating(newRating) posthog.capture('chat rating', { - question: previousMessage.content, - answer: JSON.stringify(message.answer), + question: relevantHumanMessage.content, + answer: JSON.stringify(relevantVisualizationMessage.answer), answer_rating: rating, }) if (newRating === 'bad') { @@ -220,8 +247,8 @@ function AnswerActions({ return // Input is empty } posthog.capture('chat feedback', { - question: previousMessage.content, - answer: JSON.stringify(message.answer), + question: relevantHumanMessage.content, + answer: JSON.stringify(relevantVisualizationMessage.answer), feedback, }) setFeedbackInputStatus('submitted') @@ -248,9 +275,18 @@ function AnswerActions({ onClick={() => submitRating('bad')} /> )} + {messageIndex === thread.length - 1 && ( + } + type="tertiary" + size="small" + tooltip="Try again" + onClick={() => retryLastMessage()} + /> + )}
{feedbackInputStatus !== 'hidden' && ( - { if (el && !hasScrolledFeedbackInputIntoView.current) { @@ -292,7 +328,7 @@ function AnswerActions({ )} - + )} ) diff --git a/frontend/src/scenes/max/__mocks__/chatResponse.mocks.ts b/frontend/src/scenes/max/__mocks__/chatResponse.mocks.ts index 3bd38eb1e62..dffb3cfa056 100644 --- a/frontend/src/scenes/max/__mocks__/chatResponse.mocks.ts +++ b/frontend/src/scenes/max/__mocks__/chatResponse.mocks.ts @@ -1,17 +1,23 @@ import { AssistantGenerationStatusEvent, AssistantGenerationStatusType } from '~/queries/schema' -import chatResponse from './chatResponse.json' -import failureResponse from './failureResponse.json' +import failureMessage from './failureMessage.json' +import summaryMessage from './summaryMessage.json' +import visualizationMessage from './visualizationMessage.json' function generateChunk(events: string[]): string { return events.map((event) => (event.startsWith('event:') ? `${event}\n` : `${event}\n\n`)).join('') } -export const chatResponseChunk = generateChunk(['event: message', `data: ${JSON.stringify(chatResponse)}`]) +export const chatResponseChunk = generateChunk([ + 'event: message', + `data: ${JSON.stringify(visualizationMessage)}`, + 'event: message', + `data: ${JSON.stringify(summaryMessage)}`, +]) const generationFailure: AssistantGenerationStatusEvent = { type: AssistantGenerationStatusType.GenerationError } const responseWithReasoningStepsOnly = { - ...chatResponse, + ...visualizationMessage, answer: null, } @@ -22,4 +28,4 @@ export const generationFailureChunk = generateChunk([ `data: ${JSON.stringify(generationFailure)}`, ]) -export const failureChunk = generateChunk(['event: message', `data: ${JSON.stringify(failureResponse)}`]) +export const failureChunk = generateChunk(['event: message', `data: ${JSON.stringify(failureMessage)}`]) diff --git a/frontend/src/scenes/max/__mocks__/failureResponse.json b/frontend/src/scenes/max/__mocks__/failureMessage.json similarity index 100% rename from frontend/src/scenes/max/__mocks__/failureResponse.json rename to frontend/src/scenes/max/__mocks__/failureMessage.json diff --git a/frontend/src/scenes/max/__mocks__/summaryMessage.json b/frontend/src/scenes/max/__mocks__/summaryMessage.json new file mode 100644 index 00000000000..011565dc126 --- /dev/null +++ b/frontend/src/scenes/max/__mocks__/summaryMessage.json @@ -0,0 +1,5 @@ +{ + "type": "ai", + "content": "Looks like no pageviews have occured. Get some damn users.", + "done": true +} diff --git a/frontend/src/scenes/max/__mocks__/chatResponse.json b/frontend/src/scenes/max/__mocks__/visualizationMessage.json similarity index 99% rename from frontend/src/scenes/max/__mocks__/chatResponse.json rename to frontend/src/scenes/max/__mocks__/visualizationMessage.json index 5fed25c08bf..cabfe93ca1c 100644 --- a/frontend/src/scenes/max/__mocks__/chatResponse.json +++ b/frontend/src/scenes/max/__mocks__/visualizationMessage.json @@ -64,5 +64,6 @@ "smoothingIntervals": 1, "yAxisScaleType": null } - } + }, + "done": true } diff --git a/frontend/src/scenes/max/maxLogic.ts b/frontend/src/scenes/max/maxLogic.ts index 0ff61094dee..04f36c6cd1c 100644 --- a/frontend/src/scenes/max/maxLogic.ts +++ b/frontend/src/scenes/max/maxLogic.ts @@ -4,7 +4,7 @@ import { createParser } from 'eventsource-parser' import { actions, afterMount, connect, kea, key, listeners, path, props, reducers, selectors } from 'kea' import { loaders } from 'kea-loaders' import api from 'lib/api' -import { isHumanMessage, isRouterMessage, isVisualizationMessage } from 'scenes/max/utils' +import { isHumanMessage } from 'scenes/max/utils' import { projectLogic } from 'scenes/projectLogic' import { @@ -13,6 +13,7 @@ import { AssistantGenerationStatusType, AssistantMessageType, FailureMessage, + HumanMessage, NodeKind, RefreshType, RootAssistantMessage, @@ -28,12 +29,14 @@ export interface MaxLogicProps { export type MessageStatus = 'loading' | 'completed' | 'error' export type ThreadMessage = RootAssistantMessage & { - status?: MessageStatus + status: MessageStatus } -const FAILURE_MESSAGE: FailureMessage = { +const FAILURE_MESSAGE: FailureMessage & ThreadMessage = { type: AssistantMessageType.Failure, content: 'Oops! It looks like I’m having trouble generating this trends insight. Could you please try again?', + status: 'error', + done: true, } export const maxLogic = kea([ @@ -48,7 +51,7 @@ export const maxLogic = kea([ setThreadLoaded: (testOnlyOverride = false) => ({ testOnlyOverride }), addMessage: (message: ThreadMessage) => ({ message }), replaceMessage: (index: number, message: ThreadMessage) => ({ index, message }), - setMessageStatus: (index: number, status: ThreadMessage['status']) => ({ index, status }), + setMessageStatus: (index: number, status: MessageStatus) => ({ index, status }), setQuestion: (question: string) => ({ question }), setVisibleSuggestions: (suggestions: string[]) => ({ suggestions }), shuffleVisibleSuggestions: true, @@ -149,9 +152,7 @@ export const maxLogic = kea([ ) }, askMax: async ({ prompt }) => { - actions.addMessage({ type: AssistantMessageType.Human, content: prompt }) - let generatingMessageIndex: number = -1 - + actions.addMessage({ type: AssistantMessageType.Human, content: prompt, done: true, status: 'completed' }) try { const response = await api.chat({ session_id: props.sessionId, @@ -173,21 +174,15 @@ export const maxLogic = kea([ return } - if (isRouterMessage(parsedResponse)) { + if (values.thread[values.thread.length - 1].status === 'completed') { actions.addMessage({ ...parsedResponse, - status: 'completed', + status: !parsedResponse.done ? 'loading' : 'completed', }) - } else if (generatingMessageIndex === -1) { - generatingMessageIndex = values.thread.length - - if (parsedResponse) { - actions.addMessage({ ...parsedResponse, status: 'loading' }) - } } else if (parsedResponse) { - actions.replaceMessage(generatingMessageIndex, { + actions.replaceMessage(values.thread.length - 1, { ...parsedResponse, - status: values.thread[generatingMessageIndex].status, + status: !parsedResponse.done ? 'loading' : 'completed', }) } } else if (event === AssistantEventType.Status) { @@ -197,7 +192,7 @@ export const maxLogic = kea([ } if (parsedResponse.type === AssistantGenerationStatusType.GenerationError) { - actions.setMessageStatus(generatingMessageIndex, 'error') + actions.setMessageStatus(values.thread.length - 1, 'error') } } }, @@ -205,47 +200,28 @@ export const maxLogic = kea([ while (true) { const { done, value } = await reader.read() - parser.feed(decoder.decode(value)) - if (done) { - if (generatingMessageIndex === -1) { - break - } - - const generatedMessage = values.thread[generatingMessageIndex] - if (generatedMessage && isVisualizationMessage(generatedMessage) && generatedMessage.plan) { - actions.setMessageStatus(generatingMessageIndex, 'completed') - } else if (generatedMessage) { - actions.replaceMessage(generatingMessageIndex, FAILURE_MESSAGE) - } else { - actions.addMessage({ - ...FAILURE_MESSAGE, - status: 'completed', - }) - } break } } } catch (e) { captureException(e) - if (generatingMessageIndex !== -1) { - if (values.thread[generatingMessageIndex]) { - actions.replaceMessage(generatingMessageIndex, FAILURE_MESSAGE) - } else { - actions.addMessage({ - ...FAILURE_MESSAGE, - status: 'completed', - }) - } + if (values.thread[values.thread.length - 1]?.status === 'loading') { + actions.replaceMessage(values.thread.length - 1, FAILURE_MESSAGE) + } else if (values.thread[values.thread.length - 1]?.status !== 'error') { + actions.addMessage({ + ...FAILURE_MESSAGE, + status: 'completed', + }) } } actions.setThreadLoaded() }, retryLastMessage: () => { - const lastMessage = values.thread.filter(isHumanMessage).pop() + const lastMessage = values.thread.filter(isHumanMessage).pop() as HumanMessage | undefined if (lastMessage) { actions.askMax(lastMessage.content) } diff --git a/frontend/src/scenes/max/utils.ts b/frontend/src/scenes/max/utils.ts index 6c6d77204f5..0bfa5757863 100644 --- a/frontend/src/scenes/max/utils.ts +++ b/frontend/src/scenes/max/utils.ts @@ -1,5 +1,6 @@ import { AssistantFunnelsQuery, + AssistantMessage, AssistantMessageType, AssistantTrendsQuery, FailureMessage, @@ -22,6 +23,10 @@ export function isHumanMessage(message: RootAssistantMessage | undefined | null) return message?.type === AssistantMessageType.Human } +export function isAssistantMessage(message: RootAssistantMessage | undefined | null): message is AssistantMessage { + return message?.type === AssistantMessageType.Assistant +} + export function isFailureMessage(message: RootAssistantMessage | undefined | null): message is FailureMessage { return message?.type === AssistantMessageType.Failure } diff --git a/package.json b/package.json index c8b74b26479..9be82875a40 100644 --- a/package.json +++ b/package.json @@ -54,8 +54,8 @@ "typegen:check": "kea-typegen check", "typegen:watch": "kea-typegen watch --delete --show-ts-errors", "typegen:clean": "find frontend/src -type f -name '*Type.ts' -delete", - "storybook": "storybook dev -p 6006", - "build-storybook": "storybook build", + "storybook": "DEBUG=0 storybook dev -p 6006", + "build-storybook": "DEBUG=0 storybook build", "dev:migrate:postgres": "export DEBUG=1 && source env/bin/activate && python manage.py migrate", "dev:migrate:clickhouse": "export DEBUG=1 && source env/bin/activate && python manage.py migrate_clickhouse", "prepare": "husky install", @@ -77,7 +77,7 @@ "@microlink/react-json-view": "^1.21.3", "@monaco-editor/react": "4.6.0", "@posthog/hogvm": "^1.0.58", - "@posthog/icons": "0.8.5", + "@posthog/icons": "0.9.1", "@posthog/plugin-scaffold": "^1.4.4", "@react-hook/size": "^2.1.2", "@rrweb/types": "2.0.0-alpha.13", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index ad4f940271f..0579185ebe5 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -53,8 +53,8 @@ dependencies: specifier: ^1.0.58 version: 1.0.58(luxon@3.5.0) '@posthog/icons': - specifier: 0.8.5 - version: 0.8.5(react-dom@18.2.0)(react@18.2.0) + specifier: 0.9.1 + version: 0.9.1(react-dom@18.2.0)(react@18.2.0) '@posthog/plugin-scaffold': specifier: ^1.4.4 version: 1.4.4 @@ -5426,8 +5426,8 @@ packages: luxon: 3.5.0 dev: false - /@posthog/icons@0.8.5(react-dom@18.2.0)(react@18.2.0): - resolution: {integrity: sha512-bFPMgnR3ZaNnMQ81OznYFQRd7KaCqXcI8xS3qS49UBkSZpKeJgH86JbWXBXI2q2GZWX00gc+gZxEo5EBkY7KcQ==} + /@posthog/icons@0.9.1(react-dom@18.2.0)(react@18.2.0): + resolution: {integrity: sha512-9zlU1H7MZm2gSh1JsDzM25km6VDc/Y7HdNf6RyP5sUiHCHVMKhQQ8TA2IMq55v/uTFRc5Yen6BagOUvunD2kqQ==} peerDependencies: react: '>=16.14.0' react-dom: '>=16.14.0' diff --git a/posthog/demo/matrix/manager.py b/posthog/demo/matrix/manager.py index 08f45ef163e..8c69ef06a8d 100644 --- a/posthog/demo/matrix/manager.py +++ b/posthog/demo/matrix/manager.py @@ -137,6 +137,7 @@ class MatrixManager: ) for cohort in Cohort.objects.filter(team=team): cohort.calculate_people_ch(pending_version=0) + team.project.save() team.save() def _save_analytics_data(self, data_team: Team): diff --git a/posthog/demo/products/hedgebox/matrix.py b/posthog/demo/products/hedgebox/matrix.py index 1ae9da06c1f..5990f7a7442 100644 --- a/posthog/demo/products/hedgebox/matrix.py +++ b/posthog/demo/products/hedgebox/matrix.py @@ -98,6 +98,8 @@ class HedgeboxMatrix(Matrix): def set_project_up(self, team, user): super().set_project_up(team, user) + team.project.product_description = "Dropbox for hedgehogs. We're a file sharing and collaboration platform. Free for limited personal use, with paid plans available." + team.autocapture_web_vitals_opt_in = True # Actions interacted_with_file_action = Action.objects.create( @@ -882,6 +884,3 @@ class HedgeboxMatrix(Matrix): ) except IntegrityError: pass # This can happen if demo data generation is re-run for the same project - - # autocapture - team.autocapture_web_vitals_opt_in = True diff --git a/posthog/schema.py b/posthog/schema.py index 6680ac5a4b3..1f4beabe0b8 100644 --- a/posthog/schema.py +++ b/posthog/schema.py @@ -247,6 +247,14 @@ class AssistantMessage(BaseModel): extra="forbid", ) content: str + done: Optional[bool] = Field( + default=None, + description=( + 'We only need this "done" value to tell when the particular message is finished during its streaming. It' + " won't be necessary when we optimize streaming to NOT send the entire message every time a character is" + " added." + ), + ) type: Literal["ai"] = "ai" @@ -850,6 +858,7 @@ class FailureMessage(BaseModel): extra="forbid", ) content: Optional[str] = None + done: Literal[True] = True type: Literal["ai/failure"] = "ai/failure" @@ -1047,6 +1056,7 @@ class HumanMessage(BaseModel): extra="forbid", ) content: str + done: Literal[True] = Field(default=True, description="Human messages are only appended when done.") type: Literal["human"] = "human" @@ -1443,6 +1453,7 @@ class RouterMessage(BaseModel): extra="forbid", ) content: str + done: Literal[True] = Field(default=True, description="Router messages are not streamed, so they can only be done.") type: Literal["ai/router"] = "ai/router" @@ -5536,6 +5547,7 @@ class VisualizationMessage(BaseModel): extra="forbid", ) answer: Optional[Union[AssistantTrendsQuery, AssistantFunnelsQuery]] = None + done: Optional[bool] = None plan: Optional[str] = None reasoning_steps: Optional[list[str]] = None type: Literal["ai/viz"] = "ai/viz"