Feature: Stream Router Coverage As a developer I want to exercise reactive stream router behaviors So that stream_router.py is covered in actor-first mode Background: Given a reactive stream router harness Scenario: Create replay stream with buffer size Given I have a replay stream configuration: """ {"name": "replay_stream", "type": "replay", "buffer_size": 5, "operators": []} """ When I create the reactive stream Then the stream should be created successfully Scenario: Create hot stream with initial value Given I have a hot stream configuration: """ {"name": "hot_stream", "type": "hot", "initial_value": "initial_data", "operators": []} """ When I create the reactive stream Then the stream should be created successfully Scenario: Stream creation with existing name should fail Given I have a stream configuration: """ {"name": "existing_stream", "type": "cold", "operators": []} """ When I create the reactive stream And I try to create another stream with the same name Then I should get a stream router coverage error Scenario: Create agent mapper with tool agent Given I have a tool agent named "echo_agent" with echo tool And I have a stream configuration with agent mapper: """ {"name": "agent_stream", "type": "cold", "operators": [{"type": "map", "params": {"agent": "echo_agent"}}]} """ When I create the reactive stream And I send router message "hello" to stream "agent_stream" Then the stream should be created successfully Scenario: Create agent mapper with missing agent should fail Given I have a stream configuration with missing agent: """ {"name": "missing_agent_stream", "type": "cold", "operators": [{"type": "map", "params": {"agent": "nonexistent_agent"}}]} """ When I try to create the reactive stream Then I should get a stream router coverage error about missing agent Scenario: Transform operator with extract_field transform Given I have a stream configuration with extract transform: """ {"name": "extract_stream", "type": "cold", "operators": [{"type": "map", "params": {"transform": {"type": "extract_field", "field": "data"}}}]} """ When I create the reactive stream And I send a dictionary message with field "data" Then the field value should be extracted Scenario: Unknown operator should fail Given I have a stream configuration with unknown operator: """ {"name": "unknown_stream", "type": "cold", "operators": [{"type": "unknown_operator"}]} """ When I try to create the reactive stream Then I should get a stream router coverage error about unknown operator Scenario: LangGraph operators without bridge should fail Given I have a stream configuration with LangGraph operator: """ {"name": "langgraph_stream", "type": "cold", "operators": [{"type": "graph_execute", "params": {}}]} """ When I try to create the reactive stream Then I should get a stream router coverage error about LangGraph bridge Scenario: Stream message copy_with functionality Given I have a stream message for router testing When I copy the message with modifications Then the new message should have the modifications And the original message should be unchanged Scenario: Agent mapper with None message handling Given I have a tool agent named "none_agent" with echo tool And I have a stream configuration with agent mapper: """ {"name": "none_stream", "type": "cold", "operators": [{"type": "map", "params": {"agent": "none_agent"}}]} """ When I create the reactive stream And I send router None message to stream "none_stream" Then the agent should handle None gracefully Scenario: Stream disposal Given I have a stream for router testing When I dispose of the stream router Then the stream router should be disposed properly Scenario: Message with timestamp Given I have a stream for router testing When I send a message to check timestamp Then the message should have a timestamp Scenario: Filter operator with equals condition Given I have a stream configuration with equals filter: """ {"name": "equals_filter", "type": "cold", "operators": [{"type": "filter", "params": {"condition": {"equals": "match"}}}]} """ When I create the reactive stream Then the stream should be created successfully Scenario: Filter operator with field presence condition Given I have a stream configuration with field condition: """ {"name": "field_filter", "type": "cold", "operators": [{"type": "filter", "params": {"condition": {"field": "test_key"}}}]} """ When I create the reactive stream Then the stream should be created successfully Scenario: Buffer and window operators Given I have a stream configuration with buffer and window: """ {"name": "buffer_window", "type": "cold", "operators": [ {"type": "buffer", "params": {"count": 2, "timeout": 0.01}}, {"type": "window", "params": {"count": 1}} ]} """ When I create the reactive stream Then the stream should be created successfully Scenario: Take, skip, and merge operators Given I have a stream configuration with take skip merge: """ {"name": "take_skip_merge", "type": "cold", "operators": [ {"type": "take", "params": {"count": 1}}, {"type": "skip", "params": {"count": 0}}, {"type": "merge", "params": {"streams": ["__input__"]}} ]} """ When I create the reactive stream Then the stream should be created successfully Scenario: Accumulate operator Given I have a stream configuration with accumulate: """ {"name": "accumulate_stream", "type": "cold", "operators": [ {"type": "accumulate", "params": {"accumulator": {"op": "sum"}}} ]} """ When I create the reactive stream Then the stream should be created successfully Scenario: Switch/conditional routing operator Given I have a stream configuration with switch operator: """ {"name": "switch_stream", "type": "cold", "operators": [ {"type": "switch", "params": { "cases": [ {"condition": {"equals": "yes"}, "target": "__output__"} ], "default": "__output__" }} ]} """ When I create the reactive stream Then the stream should be created successfully