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performance: support padatious #42

Merged
merged 3 commits into from
Dec 11, 2024
Merged

performance: support padatious #42

merged 3 commits into from
Dec 11, 2024

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JarbasAl
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@JarbasAl JarbasAl commented Dec 11, 2024

prefer padatious to padacioso if its installed (much faster)

skip matching completely if no media skills are registered

Summary by CodeRabbit

  • New Features

    • Enhanced intent matching performance with caching capabilities.
    • Improved handling of player state for better synchronization.
    • Introduced confidence threshold checks for intent matches, with logging for low-confidence cases.
  • Bug Fixes

    • Improved error handling for search queries, ensuring graceful responses when no valid results are found.
  • Refactor

    • Optimized intent processing by skipping unnecessary computations when no skill aliases are registered.

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coderabbitai bot commented Dec 11, 2024

Walkthrough

The changes in this pull request focus on enhancing the functionality of intent matching and player state management within the ocp_pipeline/opm.py file. Key updates include the introduction of an intent_cache variable for caching intent data, conditional logic in the load_intent_files method based on library availability, and performance optimizations in the match_high method. Additionally, error handling improvements and better synchronization of player state are implemented to ensure more robust and efficient operations.

Changes

File Change Summary
ocp_pipeline/opm.py - Added intent_cache variable in OCPPipelineMatcher.
- Updated load_intent_files method to conditionally create IntentContainer based on ovos_padatious.
- Modified match_high method to skip processing with no skill aliases and added confidence threshold check.
- Enhanced error handling in handle_search_query for better response management.
- Improved get_player method for better synchronization of player state.
tests/test_ocp.py - Added initialization of skill_aliases in setUp method for TestOCPPipelineNoClassifierMatcher and TestOCPPipelineMatcher.

Possibly related PRs

  • fix:standardize_lang #12: The changes in this PR also modify the match_high method and enhance intent handling, which is directly related to the improvements made in the main PR regarding intent matching and processing.
  • feat:pipeline plugin factory #14: This PR refactors the match_high method to return a different type of match object, which is relevant to the changes made in the main PR that also involve modifications to the match_high method.
  • fix: correct pipeline parent class #26: This PR involves changes to the OCPPipelineMatcher class and its methods, including match_medium, which is relevant to the overall intent handling improvements in the main PR.
  • improve OCP detection + speed up legacy playback start #34: This PR includes modifications to the get_player method, which is also enhanced in the main PR for better player state management, indicating a direct relationship between the two.

Suggested labels

feature, fix

Poem

🐇 In the pipeline where intents play,
A cache is born to save the day.
With skills aligned and states in sync,
Our player’s journey is on the brink.
Errors handled, confidence high,
In this rabbit's world, we reach for the sky! 🌟


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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (5)
ocp_pipeline/opm.py (5)

52-52: Use os.path.join for constructing file paths

To 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 check

Instead of using not len(self.skill_aliases), you can directly use if 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 code

The 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 match

Then 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 configurable

Instead 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 code

The 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)
📜 Review details

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Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 065d3a2 and 5281d5a.

📒 Files selected for processing (1)
  • 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 test

The 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:

  1. Retrain the classifiers to fix the noted issue
  2. 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?

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 5281d5a and f04709f.

📒 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:

  1. The matching process is skipped when no skills are registered
  2. 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:

  1. The system correctly prefers padatious when available
  2. Falls back to padacioso when padatious is not available
  3. Performance comparison between the two options

Let's check if these scenarios are tested elsewhere:

@JarbasAl JarbasAl merged commit 0c8b517 into dev Dec 11, 2024
4 checks passed
This was referenced Dec 18, 2024
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