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performance: support padatious #42
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WalkthroughThe changes in this pull request focus on enhancing the functionality of intent matching and player state management within the Changes
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (5)
ocp_pipeline/opm.py (5)
52-52
: Useos.path.join
for constructing file pathsTo ensure cross-platform compatibility and handle path separators correctly, it's recommended to use
os.path.join
instead of string concatenation when constructing file paths.Apply this diff to improve the code:
- intent_cache = f"{xdg_data_home()}/{get_xdg_base()}/intent_cache" + intent_cache = os.path.join(xdg_data_home(), get_xdg_base(), "intent_cache")
320-321
: Simplify empty dictionary checkInstead of using
not len(self.skill_aliases)
, you can directly useif not self.skill_aliases
to check if the dictionary is empty. This is more Pythonic and slightly more efficient.Apply this diff to refine the code:
- if not len(self.skill_aliases): # skill_id registered when skills load + if not self.skill_aliases: # skill_id registered when skills load
332-338
: Refactor duplicate match normalization codeThe logic for normalizing the
match
object is duplicated. Consider refactoring this into a separate method to improve maintainability and reduce code duplication.Apply this diff to extract the normalization logic:
+ def _normalize_match(self, match): + if hasattr(match, "name"): # padatious + return { + "name": match.name, + "conf": match.conf, + "entities": match.matches + } + return matchThen update the code to use this method:
- if hasattr(match, "name"): # padatious - match = { - "name": match.name, - "conf": match.conf, - "entities": match.matches - } + match = self._normalize_match(match)
342-344
: Make confidence threshold configurableInstead of hardcoding the confidence threshold to
0.7
, consider making it a configurable parameter. This allows flexibility to adjust the threshold based on different requirements or environments.Apply this diff to enhance configurability:
- if match.get("conf", 1.0) < 0.7: + threshold = self.config.get("intent_match_confidence_threshold", 0.7) + if match.get("conf", 1.0) < threshold:
1162-1167
: Refactor duplicate match normalization codeThe logic for normalizing the
match
object is duplicated here as well. Refactoring this into a shared method improves code maintainability.Use the previously defined
_normalize_match
method:- if hasattr(match, "name"): # padatious - match = { - "name": match.name, - "conf": match.conf, - "entities": match.matches - } + match = self._normalize_match(match)
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ocp_pipeline/opm.py
(6 hunks)
🔇 Additional comments (2)
ocp_pipeline/opm.py (2)
156-163
: Conditional import and fallback mechanism looks good
The implementation correctly attempts to import IntentContainer
from ovos_padatious
and falls back to padacioso
if not available, providing a warning about the performance impact. This ensures better performance when ovos_padatious
is available and maintains functionality otherwise.
166-170
: Proper initialization of IntentContainer
based on availability
The code correctly initializes the IntentContainer
with caching when ovos_padatious
is available and without caching when falling back to padacioso
. This conditional handling optimizes performance and is implemented correctly.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
tests/test_ocp.py (1)
Line range hint
164-182
: Consider un-skipping and fixing the classifier testThe skipped test
test_predict_prob_with_unknown_entity
contains a TODO comment about classifier retraining. Since this PR involves changes to the matching system, it would be valuable to:
- Retrain the classifiers to fix the noted issue
- Un-skip this test to ensure robust validation of the matching system
Would you like me to help create a GitHub issue to track the classifier retraining task?
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📒 Files selected for processing (1)
tests/test_ocp.py
(2 hunks)
🔇 Additional comments (2)
tests/test_ocp.py (2)
53-53
: Enhance test coverage for skill registration scenarios
The added lines simulate a registered skill, but the test cases don't explicitly verify the behavior when no skills are registered. Consider adding test cases to validate:
- The matching process is skipped when no skills are registered
- The matching process proceeds when skills are registered
Let's verify if the main implementation handles these scenarios:
Also applies to: 118-118
Line range hint 1-182
: Verify test coverage for padatious vs padacioso preference
The PR objectives mention preferring padatious over padacioso, but there are no test cases validating this behavior. Consider adding test cases to verify:
- The system correctly prefers padatious when available
- Falls back to padacioso when padatious is not available
- Performance comparison between the two options
Let's check if these scenarios are tested elsewhere:
prefer padatious to padacioso if its installed (much faster)
skip matching completely if no media skills are registered
Summary by CodeRabbit
New Features
Bug Fixes
Refactor