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@adrianchan787 adrianchan787 commented Nov 30, 2025

Description

  • Added a validation status check in offense play test that checks if the friendly team has excessively dribbled
  • Changed the validation status check (NeverExcessivelyDribbles and EventuallyStartsExcessiveDribbles) to look at the dribble_displacement field in World instead of the previous "brute force" method; this (theoretically) aligns more with the AutoRef's implementation of excessive dribbling
  • Added a testing file for the validation status check

Testing Done

- Reran all pytests that used NeverExcessivelyDribbles; some of them were flaky for unrelated reasons e.g. pass_defender_test had a robot enter region validation error first time around
- Created a testing file that tests never excessively and eventually starts dribbling, using the dribble_tactic. (since the main dribbling done in offense_play_test is in dribble_tactic). These tests typically pass but are also flaky; I'll expand more in the comments at the end.

Resolved Issues

Resolves #3452

Length Justification and Key Files to Review

Review Checklist

It is the reviewers responsibility to also make sure every item here has been covered

  • [x ] Function & Class comments: All function definitions (usually in the .h file) should have a javadoc style comment at the start of them. For examples, see the functions defined in thunderbots/software/geom. Similarly, all classes should have an associated Javadoc comment explaining the purpose of the class.
  • [ x] Remove all commented out code
  • [ x] Remove extra print statements: for example, those just used for testing
  • [ x] Resolve all TODO's: All TODO (or similar) statements should either be completed or associated with a github issue

Additional Comments

  • Not really an addition and more of a few observations and questions. Wanted to still make this PR since I feel like it's not directly related to my current ticket (and also because I've dragged this on for too long lol).

  • Was looking at how the Autoref implemented dribble distance, and from what I understood it seems to compare initial position of the robot to the final position of the ball (see the code snippet below, taken from https://github.com/TIGERs-Mannheim/AutoReferee/tree/53063578e38ac4818849df3196b32a856a5fa41d). If I'm mistaken, please tell me and I'll edit the comments in my branch lol

Screenshot from 2025-11-30 03-23-07
  • However, because they use robot to ball and not e.g. ball to ball, the dribble displacement field is extremely inconsistent. For example, in my tests, if you start the robot in the same location as the ball, you get a different dribble displacement than if you started the robot a meter way. (which I think makes sense? since the orientation with which you start dribbling will probably be different).
  • Similarly, that's why the maximum distance between the initial point location of the ball and its location after dribbling is greater than 1 m. From tests I got up to 1.03 m. However, this maximum limit was pretty flaky for me, and fluctuated between 1.03 and 1.01 m. (which is why there's a decent chance my code won't pass my own tests).
  • So I was wondering if this is an issue? On one hand, (I think?) if this mirrors the Autoref's behaviour, it doesn't matter how inconsistent it is. On the other, I know William said the 1 meter max dribbling was a pretty strict limit, so would it be worthwhile to be conservative and use like 0.98 max distance in testing and tactics?

Sorry if that was a bit unclear, please let me know if it was. Thanks!

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(oops really sorry not sure if i was supposed to resolve the merge conflict)

@adrianchan787 adrianchan787 marked this pull request as draft November 30, 2025 22:10
@adrianchan787 adrianchan787 marked this pull request as ready for review November 30, 2025 23:01
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Added some comments, just some refactoring changes recommended but the new implementation of excessive_dribbing validation seems good and the test are thorough

Comment on lines +132 to +138
def test_excessive_dribbling(
initial_location,
dribble_destination,
final_dribble_orientation,
allow_excessive_dribbling,
simulated_test_runner,
):
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Perhaps instead of having a separate function for testing excessive dribbling, you could pass in a parameter such as "should_excessively_dribble" which would control if the test expects excessive dribbling or not.

This would reduce the repeated code between the two test functions

create_validation_geometry,
create_validation_types,
)
from typing import override
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The @override decorators should be kept, which I think was removed during your merge conflict. Just add these back.

initial_location,
dribble_destination,
final_dribble_orientation,
allow_excessive_dribbling,
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allow_excessive_dribbling might not be a necessary parameter, since all the tests use True. Is there a scenario where allow_excessive_dribbling should be set to False?

import software.python_bindings as tbots_cpp
from proto.play_pb2 import Play, PlayName

from software.simulated_tests.excessive_dribbling import NeverExcessivelyDribbles
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Small nit, I would just use the wildcard import * for consistency with the rest of the validation imports.

But actually there are instances of importing specific names in python in our codebase. This might be another refactoring issue to make our python code more consistent

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I would leave it as is, using the module imports. It is a better practice to only import what you need so as not to pollute the namespace. Additionally, just as a fun fact, try never to import a raw file as it can lead to some unpredictable behaviour during the import process: https://stackoverflow.com/questions/5748946/pythonic-way-to-resolve-circular-import-statements

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Yea I also agree with just importing the required functions, should this be a different issue to get rid of all wildcard imports from our python code ?

import software.python_bindings as tbots_cpp
from proto.play_pb2 import Play, PlayName

from software.simulated_tests.excessive_dribbling import NeverExcessivelyDribbles
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I would leave it as is, using the module imports. It is a better practice to only import what you need so as not to pollute the namespace. Additionally, just as a fun fact, try never to import a raw file as it can lead to some unpredictable behaviour during the import process: https://stackoverflow.com/questions/5748946/pythonic-way-to-resolve-circular-import-statements

Comment on lines +4 to +10
from software.simulated_tests.robot_enters_region import *
from software.simulated_tests.ball_enters_region import *
from software.simulated_tests.ball_moves_in_direction import *
from software.simulated_tests.friendly_has_ball_possession import *
from software.simulated_tests.ball_speed_threshold import *
from software.simulated_tests.robot_speed_threshold import *
from software.simulated_tests.excessive_dribbling import *
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See comment above regarding module imports. It makes it easier for reviewers to catch unused imports if exact macro names are stated.

Comment on lines +20 to +21
max_dribble_length: float = 1.00,
max_dribble_error_margin: float = 0.05,
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nit: these are magic numbers, is there some way we can make these constants somewhere? Better yet, they should co-align with whatever thresholds we might already have in our logic.

if world.HasField("dribble_displacement"):
dribble_disp = world.dribble_displacement
dist = tbots_cpp.createSegment(dribble_disp).length()
if dist > (max_dribble_length - max_dribble_error_margin):
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Should this be (dist-max_dribble_length) > max_dribble_error_margin?

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I think its correct right now since it states earlier in the file that this is a margin for a conservative estimate for allowed dribble distance, so it should make the allowed distance shorter to make sure we dont go over the strict limit.

"""Checks if any friendly robot is excessively dribbling the ball, i.e. for over 1m."""

def __init__(self):
self.continous_dribbling_start_point = None
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Is this line still useful? The usage of continous_dribbling_start_point seems to be completely removed in this PR.

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OffensePlayTest should check that we don't dribble too far

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