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7a63559faf
* First pass at alerting a user that the pipeline is blocked * Change approach and add change to async pipeline * Fix check in run_async * Another fix * Somehow also fixed the max_runs_per_component * Align sync run and async run component * Update output type of component outputs to Mapping to align with our protocol * linting * ruff * Make it a core test * Add reno * Some refactoring * Linting * Fix mypy * Converting to warning * Small changes * Update release note * More cleanup * PR comment * PR comments
72 lines
4.2 KiB
Gherkin
72 lines
4.2 KiB
Gherkin
Feature: Pipeline running
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Scenario Outline: Running a correct Pipeline
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Given a pipeline <kind>
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When I run the Pipeline
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Then components are called with the expected inputs
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And it should return the expected result
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Examples:
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| kind |
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| that has no components |
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| that is linear |
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| that is really complex with lots of components, forks, and loops |
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| that has a single component with a default input |
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| that has two loops of identical lengths |
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| that has two loops of different lengths |
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| that has a single loop with two conditional branches |
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| that has a component with dynamic inputs defined in init |
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| that has two branches that don't merge |
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| that has three branches that don't merge |
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| that has two branches that merge |
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| that has different combinations of branches that merge and do not merge |
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| that has two branches, one of which loops back |
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| that has a component with mutable input |
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| that has a component with mutable output sent to multiple inputs |
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| that has a greedy and variadic component after a component with default input |
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| that has a component with only default inputs |
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| that has a component with only default inputs as first to run and receives inputs from a loop |
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| that has multiple branches that merge into a component with a single variadic input |
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| that has multiple branches of different lengths that merge into a component with a single variadic input |
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| that is linear and returns intermediate outputs |
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| that has a loop and returns intermediate outputs from it |
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| that is linear and returns intermediate outputs from multiple sockets |
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| that has a component with default inputs that doesn't receive anything from its sender |
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| that has a component with default inputs that doesn't receive anything from its sender but receives input from user |
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| that has a loop and a component with default inputs that doesn't receive anything from its sender but receives input from user |
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| that has multiple components with only default inputs and are added in a different order from the order of execution |
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| that is linear with conditional branching and multiple joins |
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| that is a simple agent |
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| that has a variadic component that receives partial inputs |
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| that has a variadic component that receives partial inputs in a different order |
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| that has an answer joiner variadic component |
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| that is linear and a component in the middle receives optional input from other components and input from the user |
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| that has a loop in the middle |
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| that has variadic component that receives a conditional input |
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| that has a string variadic component |
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| that is an agent that can use RAG |
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| that has a feedback loop |
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| created in a non-standard order that has a loop |
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| that has an agent with a feedback cycle |
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| that passes outputs that are consumed in cycle to outside the cycle |
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| with a component that has dynamic default inputs |
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| with a component that has variadic dynamic default inputs |
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| that is a file conversion pipeline with two joiners |
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| that is a file conversion pipeline with three joiners |
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| that is a file conversion pipeline with three joiners and a loop |
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| that has components returning dataframes |
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| where a single component connects multiple sockets to the same receiver socket |
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| where a component in a cycle provides inputs for a component outside the cycle in one iteration and no input in another iteration |
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| that is blocked because not enough component inputs |
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Scenario Outline: Running a bad Pipeline
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Given a pipeline <kind>
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When I run the Pipeline
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Then it must have raised <exception>
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Examples:
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| kind | exception |
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| that has an infinite loop | PipelineMaxComponentRuns |
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| that has a component that doesn't return a dictionary | PipelineRuntimeError |
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| that has a cycle that would get it stuck | PipelineComponentsBlockedError |
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