brent.edwards
17fe46d925
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169 lines
6.8 KiB
Gherkin
169 lines
6.8 KiB
Gherkin
Feature: Stream Router Coverage
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As a developer
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I want to exercise reactive stream router behaviors
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So that stream_router.py is covered in actor-first mode
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# TODO: Uncomment when step definitions are implemented
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# Background:
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# Given a reactive stream router harness
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#
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# Scenario: Create replay stream with buffer size
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# Given I have a replay stream configuration:
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# """
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# {"name": "replay_stream", "type": "replay", "buffer_size": 5, "operators": []}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Create hot stream with initial value
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# Given I have a hot stream configuration:
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# """
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# {"name": "hot_stream", "type": "hot", "initial_value": "initial_data", "operators": []}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Stream creation with existing name should fail
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# Given I have a stream configuration:
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# """
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# {"name": "existing_stream", "type": "cold", "operators": []}
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# """
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# When I create the reactive stream
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# And I try to create another stream with the same name
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# Then I should get a stream router coverage error
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#
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# Scenario: Create agent mapper with tool agent
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# Given I have a tool agent named "echo_agent" with echo tool
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# And I have a stream configuration with agent mapper:
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# """
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# {"name": "agent_stream", "type": "cold", "operators": [{"type": "map", "params": {"agent": "echo_agent"}}]}
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# """
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# When I create the reactive stream
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# And I send router message "hello" to stream "agent_stream"
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# Then the stream should be created successfully
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#
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#
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# Scenario: Create agent mapper with missing agent should fail
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# Given I have a stream configuration with missing agent:
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# """
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# {"name": "missing_agent_stream", "type": "cold", "operators": [{"type": "map", "params": {"agent": "nonexistent_agent"}}]}
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# """
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# When I try to create the reactive stream
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# Then I should get a stream router coverage error about missing agent
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#
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# Scenario: Transform operator with extract_field transform
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# Given I have a stream configuration with extract transform:
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# """
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# {"name": "extract_stream", "type": "cold", "operators": [{"type": "map", "params": {"transform": {"type": "extract_field", "field": "data"}}}]}
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# """
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# When I create the reactive stream
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# And I send a dictionary message with field "data"
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# Then the field value should be extracted
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#
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# Scenario: Unknown operator should fail
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# Given I have a stream configuration with unknown operator:
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# """
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# {"name": "unknown_stream", "type": "cold", "operators": [{"type": "unknown_operator"}]}
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# """
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# When I try to create the reactive stream
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# Then I should get a stream router coverage error about unknown operator
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#
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# Scenario: LangGraph operators without bridge should fail
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# Given I have a stream configuration with LangGraph operator:
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# """
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# {"name": "langgraph_stream", "type": "cold", "operators": [{"type": "graph_execute", "params": {}}]}
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# """
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# When I try to create the reactive stream
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# Then I should get a stream router coverage error about LangGraph bridge
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#
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# Scenario: Stream message copy_with functionality
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# Given I have a stream message for router testing
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# When I copy the message with modifications
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# Then the new message should have the modifications
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# And the original message should be unchanged
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#
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# Scenario: Agent mapper with None message handling
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# Given I have a tool agent named "none_agent" with echo tool
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# And I have a stream configuration with agent mapper:
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# """
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# {"name": "none_stream", "type": "cold", "operators": [{"type": "map", "params": {"agent": "none_agent"}}]}
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# """
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# When I create the reactive stream
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# And I send router None message to stream "none_stream"
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# Then the agent should handle None gracefully
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#
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#
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# Scenario: Stream disposal
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# Given I have a stream for router testing
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# When I dispose of the stream router
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# Then the stream router should be disposed properly
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#
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# Scenario: Message with timestamp
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# Given I have a stream for router testing
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# When I send a message to check timestamp
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# Then the message should have a timestamp
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#
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# Scenario: Filter operator with equals condition
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# Given I have a stream configuration with equals filter:
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# """
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# {"name": "equals_filter", "type": "cold", "operators": [{"type": "filter", "params": {"condition": {"equals": "match"}}}]}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Filter operator with field presence condition
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# Given I have a stream configuration with field condition:
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# """
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# {"name": "field_filter", "type": "cold", "operators": [{"type": "filter", "params": {"condition": {"field": "test_key"}}}]}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Buffer and window operators
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# Given I have a stream configuration with buffer and window:
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# """
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# {"name": "buffer_window", "type": "cold", "operators": [
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# {"type": "buffer", "params": {"count": 2, "timeout": 0.01}},
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# {"type": "window", "params": {"count": 1}}
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# ]}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Take, skip, and merge operators
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# Given I have a stream configuration with take skip merge:
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# """
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# {"name": "take_skip_merge", "type": "cold", "operators": [
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# {"type": "take", "params": {"count": 1}},
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# {"type": "skip", "params": {"count": 0}},
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# {"type": "merge", "params": {"streams": ["__input__"]}}
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# ]}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Accumulate operator
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# Given I have a stream configuration with accumulate:
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# """
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# {"name": "accumulate_stream", "type": "cold", "operators": [
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# {"type": "accumulate", "params": {"accumulator": {"op": "sum"}}}
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# ]}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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#
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# Scenario: Switch/conditional routing operator
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# Given I have a stream configuration with switch operator:
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# """
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# {"name": "switch_stream", "type": "cold", "operators": [
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# {"type": "switch", "params": {
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# "cases": [
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# {"condition": {"equals": "yes"}, "target": "__output__"}
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# ],
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# "default": "__output__"
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# }}
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# ]}
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# """
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# When I create the reactive stream
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# Then the stream should be created successfully
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