120 update flow through ai constructs #122
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #122 +/- ##
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Coverage 100.00% 100.00%
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Files 25 26 +1
Lines 951 970 +19
Branches 133 136 +3
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Lerners
now accept high level data
Planners
now call update on all existing planner constructs on interface update
now call render_reasoning on all planner constructs on interface render_reasoning
Complex
added update_and_render_reasoning function
updates and renders reasoning on each reasoning construct before the next
passes results of previous complex reasoners to subsequent complex reasoners
removed update and render_reason functions from interface which were no longer used
Agent
removed render_reasoning
it was only called locally and is no longer used
it only rendered the complex and that responsibility is now in the complex interface
new flow of data through ai constructs
vehicle rep updates every knowledge construct with frame (low_level_data)
aggregate_high_level_data adds the vehicle reps knowledge construct results (vehicle state information)
learning systems all update with frame (low_level_data, vehicle curr data) and aggregate high_level_data
aggregate_high_level_data adds the learning systems construct results
planning systems all update with aggregate high_level_data
aggregate_high_level_data adds the planning systems construct results
complex reasoners update and render reasoning (passing results down to each in the interface) with the final result being returned by the agent
The use of `|=` is only available since Python 3.9 Reverting to `update` for more backward compatibility
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the-other-james
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Mar 22, 2024
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Updates to system flow
Learners
Planners
Complex
-- updates and renders reasoning on each reasoning construct before the next
-- passes results of previous complex reasoners to subsequent complex reasoners
Agent
-- it was only called locally and is no longer used
-- it only rendered the complex and that responsibility is now in the complex interface
-- vehicle rep updates every knowledge construct with frame (low_level_data)
-- aggregate_high_level_data adds the vehicle reps knowledge construct results (vehicle state information)
-- learning systems all update with frame (low_level_data, vehicle curr data) and aggregate high_level_data
-- aggregate_high_level_data adds the learning systems construct results
-- planning systems all update with aggregate high_level_data
-- aggregate_high_level_data adds the planning systems construct results
-- complex reasoners update and render reasoning (passing results down to each in the interface) with the final result being returned by the agent