From 01c32c2464d32ecd93e9aa16bfad0a8b6ef34210 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Thu, 21 Mar 2024 15:54:03 -0700 Subject: [PATCH] Finish --- langgraph/channels/any_value.py | 4 + langgraph/channels/named_barrier_value.py | 8 +- langgraph/graph/state.py | 5 +- langgraph/pregel/__init__.py | 20 +- tests/conftest.py | 3 + tests/test_pregel.py | 263 ++++++++++++++++- tests/test_pregel_async.py | 325 ++++++++++++++++++++++ 7 files changed, 605 insertions(+), 23 deletions(-) diff --git a/langgraph/channels/any_value.py b/langgraph/channels/any_value.py index 2cbb2c25a..73edb3494 100644 --- a/langgraph/channels/any_value.py +++ b/langgraph/channels/any_value.py @@ -38,6 +38,10 @@ class AnyValue(Generic[Value], BaseChannel[Value, Value, Value]): def update(self, values: Sequence[Value]) -> None: if len(values) == 0: + try: + del self.value + except AttributeError: + pass return self.value = values[-1] diff --git a/langgraph/channels/named_barrier_value.py b/langgraph/channels/named_barrier_value.py index ccc86a541..7f55de31b 100644 --- a/langgraph/channels/named_barrier_value.py +++ b/langgraph/channels/named_barrier_value.py @@ -33,14 +33,12 @@ class NamedBarrierValue(Generic[Value], BaseChannel[Value, Value, Value]): def empty(self, checkpoint: Optional[Value] = None) -> Generator[Self, None, None]: empty = self.__class__(self.typ, self.names) if checkpoint is not None: - empty.value = checkpoint + empty.seen = checkpoint + try: yield empty finally: - try: - del empty.value - except AttributeError: - pass + pass def update(self, values: Sequence[Value]) -> None: if self.seen == self.names: diff --git a/langgraph/graph/state.py b/langgraph/graph/state.py index 97c0b2abf..c12f2f9d7 100644 --- a/langgraph/graph/state.py +++ b/langgraph/graph/state.py @@ -188,7 +188,10 @@ class StateGraph(Graph): }, input=f"{START}:inbox", output=END, - hidden=[f"{node}:inbox" for node in self.nodes] + [START] + state_keys, + hidden=[f"{node}:inbox" for node in self.nodes] + + [START] + + state_keys + + [key for key, _, _ in waiting_edges], snapshot_channels=state_keys_read, checkpointer=checkpointer, interrupt_before_nodes=[f"{node}:inbox" for node in interrupt_before], diff --git a/langgraph/pregel/__init__.py b/langgraph/pregel/__init__.py index e7a45a38b..f170dc746 100644 --- a/langgraph/pregel/__init__.py +++ b/langgraph/pregel/__init__.py @@ -1018,12 +1018,18 @@ def _should_interrupt( def _read_channel( - channels: Mapping[str, BaseChannel], chan: str, catch: bool = True + channels: Mapping[str, BaseChannel], + chan: str, + *, + catch: bool = True, + return_exception: bool = False, ) -> Any: try: return channels[chan].get() - except EmptyChannelError: - if catch: + except EmptyChannelError as exc: + if return_exception: + return exc + elif catch: return None else: raise @@ -1090,7 +1096,7 @@ def _prepare_next_tasks( channels: Mapping[str, BaseChannel], update_seen: bool = True, ) -> tuple[Checkpoint, list[tuple[Runnable, Any, str]]]: - checkpoint = copy_checkpoint(checkpoint) if update_seen else checkpoint + checkpoint = copy_checkpoint(checkpoint) tasks: list[tuple[Runnable, Any, str]] = [] # Check if any processes should be run in next step # If so, prepare the values to be passed to them @@ -1098,7 +1104,11 @@ def _prepare_next_tasks( seen = checkpoint["versions_seen"][name] # If any of the channels read by this process were updated if any( - checkpoint["channel_versions"][chan] > seen[chan] for chan in proc.triggers + checkpoint["channel_versions"][chan] > seen[chan] + for chan in proc.triggers + if not isinstance( + _read_channel(channels, chan, return_exception=True), EmptyChannelError + ) ): # If all trigger channels subscribed by this process are not empty # then invoke the process with the values of all non-empty channels diff --git a/tests/conftest.py b/tests/conftest.py index 9b6b04c01..42278f79a 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -10,3 +10,6 @@ def deterministic_uuids(mocker: MockerFixture) -> MockerFixture: UUID(f"00000000-0000-4000-8000-{i:012}", version=4) for i in range(10000) ) return mocker.patch("uuid.uuid4", side_effect=side_effect) + + +pytest.register_assert_rewrite("tests.memory_assert") diff --git a/tests/test_pregel.py b/tests/test_pregel.py index b97a9ff04..ab190751f 100644 --- a/tests/test_pregel.py +++ b/tests/test_pregel.py @@ -2785,7 +2785,7 @@ def test_in_one_fan_out_out_one_graph_state() -> None: ] -def test_in_one_fan_out_waiting_edge_graph_state() -> None: +def test_in_one_fan_out_state_graph_waiting_edge() -> None: def sorted_add( x: list[str], y: Union[list[str], list[tuple[str, str]]] ) -> list[str]: @@ -2832,7 +2832,7 @@ def test_in_one_fan_out_waiting_edge_graph_state() -> None: app = workflow.compile() - assert app.invoke({"query": "what is weather in sf"}, debug=True) == { + assert app.invoke({"query": "what is weather in sf"}) == { "query": "analyzed: query: what is weather in sf", "docs": ["doc1", "doc2", "doc3", "doc4"], "answer": "doc1,doc2,doc3,doc4", @@ -2844,16 +2844,7 @@ def test_in_one_fan_out_waiting_edge_graph_state() -> None: "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, "retriever_two": {"docs": ["doc3", "doc4"]}, }, - {"('retriever_one', 'retriever_two'):qa": None}, - {"retriever_one": {"docs": ["doc1", "doc2"]}, "qa": {"answer": "doc3,doc4"}}, - { - "('retriever_one', 'retriever_two'):qa": None, - "__end__": { - "query": "analyzed: query: what is weather in sf", - "answer": "doc3,doc4", - "docs": ["doc1", "doc2", "doc3", "doc4"], - }, - }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, { "__end__": { @@ -2863,3 +2854,251 @@ def test_in_one_fan_out_waiting_edge_graph_state() -> None: } }, ] + + app_w_interrupt = workflow.compile( + checkpointer=MemorySaverAssertImmutable(), interrupt_after=["retriever_one"] + ) + config = {"configurable": {"thread_id": "1"}} + + assert [ + c for c in app_w_interrupt.stream({"query": "what is weather in sf"}, config) + ] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + ] + + assert [c for c in app_w_interrupt.stream(None, config)] == [ + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + +def test_in_one_fan_out_state_graph_waiting_edge_plus_regular() -> None: + def sorted_add( + x: list[str], y: Union[list[str], list[tuple[str, str]]] + ) -> list[str]: + if isinstance(y[0], tuple): + for rem, _ in y: + x.remove(rem) + y = [t[1] for t in y] + return sorted(operator.add(x, y)) + + class State(TypedDict, total=False): + query: str + answer: str + docs: Annotated[list[str], sorted_add] + + def rewrite_query(data: State) -> State: + return {"query": f'query: {data["query"]}'} + + def analyzer_one(data: State) -> State: + return {"query": f'analyzed: {data["query"]}'} + + def retriever_one(data: State) -> State: + return {"docs": ["doc1", "doc2"]} + + def retriever_two(data: State) -> State: + return {"docs": ["doc3", "doc4"]} + + def qa(data: State) -> State: + return {"answer": ",".join(data["docs"])} + + workflow = StateGraph(State) + + workflow.add_node("rewrite_query", rewrite_query) + workflow.add_node("analyzer_one", analyzer_one) + workflow.add_node("retriever_one", retriever_one) + workflow.add_node("retriever_two", retriever_two) + workflow.add_node("qa", qa) + + workflow.set_entry_point("rewrite_query") + workflow.add_edge("rewrite_query", "analyzer_one") + workflow.add_edge("analyzer_one", "retriever_one") + workflow.add_edge("rewrite_query", "retriever_two") + workflow.add_waiting_edge(["retriever_one", "retriever_two"], "qa") + workflow.set_finish_point("qa") + + # silly edge, to make sure having been triggered before doesn't break + # semantics of named barrier (== waiting edges) + workflow.add_edge("rewrite_query", "qa") + + app = workflow.compile() + + assert app.invoke({"query": "what is weather in sf"}) == { + "query": "analyzed: query: what is weather in sf", + "docs": ["doc1", "doc2", "doc3", "doc4"], + "answer": "doc1,doc2,doc3,doc4", + } + + assert [*app.stream({"query": "what is weather in sf"})] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + "qa": {"answer": ""}, + }, + { + "__end__": { + "answer": "", + "docs": ["doc3", "doc4"], + "query": "analyzed: query: what is weather in sf", + } + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + app_w_interrupt = workflow.compile( + checkpointer=MemorySaverAssertImmutable(), interrupt_after=["retriever_one"] + ) + config = {"configurable": {"thread_id": "1"}} + + assert [ + c for c in app_w_interrupt.stream({"query": "what is weather in sf"}, config) + ] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + "qa": {"answer": ""}, + }, + { + "__end__": { + "answer": "", + "docs": ["doc3", "doc4"], + "query": "analyzed: query: what is weather in sf", + } + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + ] + + assert [c for c in app_w_interrupt.stream(None, config)] == [ + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + +def test_in_one_fan_out_state_graph_waiting_edge_multiple() -> None: + def sorted_add( + x: list[str], y: Union[list[str], list[tuple[str, str]]] + ) -> list[str]: + if isinstance(y[0], tuple): + for rem, _ in y: + x.remove(rem) + y = [t[1] for t in y] + return sorted(operator.add(x, y)) + + class State(TypedDict, total=False): + query: str + answer: str + docs: Annotated[list[str], sorted_add] + + def rewrite_query(data: State) -> State: + return {"query": f'query: {data["query"]}'} + + def analyzer_one(data: State) -> State: + return {"query": f'analyzed: {data["query"]}'} + + def retriever_one(data: State) -> State: + return {"docs": ["doc1", "doc2"]} + + def retriever_two(data: State) -> State: + return {"docs": ["doc3", "doc4"]} + + def qa(data: State) -> State: + return {"answer": ",".join(data["docs"])} + + def decider(data: State) -> None: + return None + + def decider_cond(data: State) -> str: + if data["query"].count("analyzed") > 1: + return "qa" + else: + return "rewrite_query" + + workflow = StateGraph(State) + + workflow.add_node("rewrite_query", rewrite_query) + workflow.add_node("analyzer_one", analyzer_one) + workflow.add_node("retriever_one", retriever_one) + workflow.add_node("retriever_two", retriever_two) + workflow.add_node("decider", decider) + workflow.add_node("qa", qa) + + workflow.set_entry_point("rewrite_query") + workflow.add_edge("rewrite_query", "analyzer_one") + workflow.add_edge("analyzer_one", "retriever_one") + workflow.add_edge("rewrite_query", "retriever_two") + workflow.add_waiting_edge(["retriever_one", "retriever_two"], "decider") + workflow.add_conditional_edges("decider", decider_cond) + workflow.set_finish_point("qa") + + app = workflow.compile() + + assert app.invoke({"query": "what is weather in sf"}) == { + "query": "analyzed: query: analyzed: query: what is weather in sf", + "answer": "doc1,doc1,doc2,doc2,doc3,doc3,doc4,doc4", + "docs": ["doc1", "doc1", "doc2", "doc2", "doc3", "doc3", "doc4", "doc4"], + } + + assert [*app.stream({"query": "what is weather in sf"})] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + {"decider": None}, + {"rewrite_query": {"query": "query: analyzed: query: what is weather in sf"}}, + { + "analyzer_one": { + "query": "analyzed: query: analyzed: query: what is weather in sf" + }, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + { + "retriever_one": {"docs": ["doc1", "doc2"]}, + }, + {"decider": None}, + {"qa": {"answer": "doc1,doc1,doc2,doc2,doc3,doc3,doc4,doc4"}}, + { + "__end__": { + "query": "analyzed: query: analyzed: query: what is weather in sf", + "answer": "doc1,doc1,doc2,doc2,doc3,doc3,doc4,doc4", + "docs": [ + "doc1", + "doc1", + "doc2", + "doc2", + "doc3", + "doc3", + "doc4", + "doc4", + ], + } + }, + ] diff --git a/tests/test_pregel_async.py b/tests/test_pregel_async.py index 3ebb79910..b4d8cb1cf 100644 --- a/tests/test_pregel_async.py +++ b/tests/test_pregel_async.py @@ -2812,3 +2812,328 @@ async def test_in_one_fan_out_out_one_graph_state() -> None: } }, ] + + +async def test_in_one_fan_out_state_graph_waiting_edge() -> None: + def sorted_add( + x: list[str], y: Union[list[str], list[tuple[str, str]]] + ) -> list[str]: + if isinstance(y[0], tuple): + for rem, _ in y: + x.remove(rem) + y = [t[1] for t in y] + return sorted(operator.add(x, y)) + + class State(TypedDict, total=False): + query: str + answer: str + docs: Annotated[list[str], sorted_add] + + async def rewrite_query(data: State) -> State: + return {"query": f'query: {data["query"]}'} + + async def analyzer_one(data: State) -> State: + return {"query": f'analyzed: {data["query"]}'} + + async def retriever_one(data: State) -> State: + return {"docs": ["doc1", "doc2"]} + + async def retriever_two(data: State) -> State: + return {"docs": ["doc3", "doc4"]} + + async def qa(data: State) -> State: + return {"answer": ",".join(data["docs"])} + + workflow = StateGraph(State) + + workflow.add_node("rewrite_query", rewrite_query) + workflow.add_node("analyzer_one", analyzer_one) + workflow.add_node("retriever_one", retriever_one) + workflow.add_node("retriever_two", retriever_two) + workflow.add_node("qa", qa) + + workflow.set_entry_point("rewrite_query") + workflow.add_edge("rewrite_query", "analyzer_one") + workflow.add_edge("analyzer_one", "retriever_one") + workflow.add_edge("rewrite_query", "retriever_two") + workflow.add_waiting_edge(["retriever_one", "retriever_two"], "qa") + workflow.set_finish_point("qa") + + app = workflow.compile() + + assert await app.ainvoke({"query": "what is weather in sf"}) == { + "query": "analyzed: query: what is weather in sf", + "docs": ["doc1", "doc2", "doc3", "doc4"], + "answer": "doc1,doc2,doc3,doc4", + } + + assert [c async for c in app.astream({"query": "what is weather in sf"})] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + app_w_interrupt = workflow.compile( + checkpointer=MemorySaverAssertImmutable(), interrupt_after=["retriever_one"] + ) + config = {"configurable": {"thread_id": "1"}} + + assert [ + c + async for c in app_w_interrupt.astream( + {"query": "what is weather in sf"}, config + ) + ] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + ] + + assert [c async for c in app_w_interrupt.astream(None, config)] == [ + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + +async def test_in_one_fan_out_state_graph_waiting_edge_plus_regular() -> None: + def sorted_add( + x: list[str], y: Union[list[str], list[tuple[str, str]]] + ) -> list[str]: + if isinstance(y[0], tuple): + for rem, _ in y: + x.remove(rem) + y = [t[1] for t in y] + return sorted(operator.add(x, y)) + + class State(TypedDict, total=False): + query: str + answer: str + docs: Annotated[list[str], sorted_add] + + async def rewrite_query(data: State) -> State: + return {"query": f'query: {data["query"]}'} + + async def analyzer_one(data: State) -> State: + return {"query": f'analyzed: {data["query"]}'} + + async def retriever_one(data: State) -> State: + return {"docs": ["doc1", "doc2"]} + + async def retriever_two(data: State) -> State: + return {"docs": ["doc3", "doc4"]} + + async def qa(data: State) -> State: + return {"answer": ",".join(data["docs"])} + + workflow = StateGraph(State) + + workflow.add_node("rewrite_query", rewrite_query) + workflow.add_node("analyzer_one", analyzer_one) + workflow.add_node("retriever_one", retriever_one) + workflow.add_node("retriever_two", retriever_two) + workflow.add_node("qa", qa) + + workflow.set_entry_point("rewrite_query") + workflow.add_edge("rewrite_query", "analyzer_one") + workflow.add_edge("analyzer_one", "retriever_one") + workflow.add_edge("rewrite_query", "retriever_two") + workflow.add_waiting_edge(["retriever_one", "retriever_two"], "qa") + workflow.set_finish_point("qa") + + # silly edge, to make sure having been triggered before doesn't break + # semantics of named barrier (== waiting edges) + workflow.add_edge("rewrite_query", "qa") + + app = workflow.compile() + + assert await app.ainvoke({"query": "what is weather in sf"}) == { + "query": "analyzed: query: what is weather in sf", + "docs": ["doc1", "doc2", "doc3", "doc4"], + "answer": "doc1,doc2,doc3,doc4", + } + + assert [c async for c in app.astream({"query": "what is weather in sf"})] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + "qa": {"answer": ""}, + }, + { + "__end__": { + "answer": "", + "docs": ["doc3", "doc4"], + "query": "analyzed: query: what is weather in sf", + } + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + app_w_interrupt = workflow.compile( + checkpointer=MemorySaverAssertImmutable(), interrupt_after=["retriever_one"] + ) + config = {"configurable": {"thread_id": "1"}} + + assert [ + c + async for c in app_w_interrupt.astream( + {"query": "what is weather in sf"}, config + ) + ] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + "qa": {"answer": ""}, + }, + { + "__end__": { + "answer": "", + "docs": ["doc3", "doc4"], + "query": "analyzed: query: what is weather in sf", + } + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + ] + + assert [c async for c in app_w_interrupt.astream(None, config)] == [ + {"qa": {"answer": "doc1,doc2,doc3,doc4"}}, + { + "__end__": { + "query": "analyzed: query: what is weather in sf", + "answer": "doc1,doc2,doc3,doc4", + "docs": ["doc1", "doc2", "doc3", "doc4"], + } + }, + ] + + +async def test_in_one_fan_out_state_graph_waiting_edge_multiple() -> None: + def sorted_add( + x: list[str], y: Union[list[str], list[tuple[str, str]]] + ) -> list[str]: + if isinstance(y[0], tuple): + for rem, _ in y: + x.remove(rem) + y = [t[1] for t in y] + return sorted(operator.add(x, y)) + + class State(TypedDict, total=False): + query: str + answer: str + docs: Annotated[list[str], sorted_add] + + async def rewrite_query(data: State) -> State: + return {"query": f'query: {data["query"]}'} + + async def analyzer_one(data: State) -> State: + return {"query": f'analyzed: {data["query"]}'} + + async def retriever_one(data: State) -> State: + return {"docs": ["doc1", "doc2"]} + + async def retriever_two(data: State) -> State: + return {"docs": ["doc3", "doc4"]} + + async def qa(data: State) -> State: + return {"answer": ",".join(data["docs"])} + + async def decider(data: State) -> None: + return None + + async def decider_cond(data: State) -> str: + if data["query"].count("analyzed") > 1: + return "qa" + else: + return "rewrite_query" + + workflow = StateGraph(State) + + workflow.add_node("rewrite_query", rewrite_query) + workflow.add_node("analyzer_one", analyzer_one) + workflow.add_node("retriever_one", retriever_one) + workflow.add_node("retriever_two", retriever_two) + workflow.add_node("decider", decider) + workflow.add_node("qa", qa) + + workflow.set_entry_point("rewrite_query") + workflow.add_edge("rewrite_query", "analyzer_one") + workflow.add_edge("analyzer_one", "retriever_one") + workflow.add_edge("rewrite_query", "retriever_two") + workflow.add_waiting_edge(["retriever_one", "retriever_two"], "decider") + workflow.add_conditional_edges("decider", decider_cond) + workflow.set_finish_point("qa") + + app = workflow.compile() + + assert await app.ainvoke({"query": "what is weather in sf"}) == { + "query": "analyzed: query: analyzed: query: what is weather in sf", + "answer": "doc1,doc1,doc2,doc2,doc3,doc3,doc4,doc4", + "docs": ["doc1", "doc1", "doc2", "doc2", "doc3", "doc3", "doc4", "doc4"], + } + + assert [c async for c in app.astream({"query": "what is weather in sf"})] == [ + {"rewrite_query": {"query": "query: what is weather in sf"}}, + { + "analyzer_one": {"query": "analyzed: query: what is weather in sf"}, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + {"retriever_one": {"docs": ["doc1", "doc2"]}}, + {"decider": None}, + {"rewrite_query": {"query": "query: analyzed: query: what is weather in sf"}}, + { + "analyzer_one": { + "query": "analyzed: query: analyzed: query: what is weather in sf" + }, + "retriever_two": {"docs": ["doc3", "doc4"]}, + }, + { + "retriever_one": {"docs": ["doc1", "doc2"]}, + }, + {"decider": None}, + {"qa": {"answer": "doc1,doc1,doc2,doc2,doc3,doc3,doc4,doc4"}}, + { + "__end__": { + "query": "analyzed: query: analyzed: query: what is weather in sf", + "answer": "doc1,doc1,doc2,doc2,doc3,doc3,doc4,doc4", + "docs": [ + "doc1", + "doc1", + "doc2", + "doc2", + "doc3", + "doc3", + "doc4", + "doc4", + ], + } + }, + ]