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Error handling #46

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@JarbasAl JarbasAl commented Jan 31, 2025

Summary by CodeRabbit

Release Notes

  • Bug Fixes

    • Improved error handling in intent training and loading processes
    • Enhanced method robustness across various intent-related classes
  • Improvements

    • Added return type annotations to training methods
    • Implemented more comprehensive checks during intent matching and training
    • Refined pipeline initialization with more flexible engine class selection
  • Performance

    • Optimized intent matching logic to handle edge cases more efficiently
    • Added explicit success/failure reporting for training operations

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📥 Commits

Reviewing files that changed from the base of the PR and between fe55ac1 and 9788cfe.

📒 Files selected for processing (1)
  • ovos_padatious/simple_intent.py (4 hunks)

Walkthrough

The pull request introduces modifications across several files in the ovos_padatious package, focusing on enhancing the training and intent matching processes. The changes primarily involve adding return type annotations to train methods, improving error handling, and refining the logic for intent training and matching. Key modifications include explicit boolean returns for training methods, more robust error checking in intent containers, and improved configuration handling for the PadatiousPipeline class.

Changes

File Change Summary
ovos_padatious/intent.py Updated train method to return a boolean indicating training success
ovos_padatious/intent_manager.py Enhanced calc_intents method with improved handling of empty or single intent scenarios
ovos_padatious/opm.py Modified PadatiousPipeline constructor to dynamically select engine_class based on configuration
ovos_padatious/pos_intent.py Added explicit True return to train method
ovos_padatious/simple_intent.py Added comprehensive error handling in train, save, and from_file methods
ovos_padatious/trainable.py Updated train method with boolean return type annotation
ovos_padatious/training_manager.py Improved training and saving logic with more detailed error handling

Possibly related PRs

Suggested labels

fix

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Code refactored, a rabbit's embrace
Training now returns a tale
Of success that shall not fail
Padatious leaps with joy so bright! 🚀


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Actionable comments posted: 5

🧹 Nitpick comments (1)
ovos_padatious/training_manager.py (1)

83-88: Specify the exception type in the try-except block.

The error handling is good, but using a bare except is not recommended as it catches all exceptions, including keyboard interrupts and system exits.

Apply this diff to specify the expected exceptions:

-            try: # .net file renamed/deleted for some reason
+            try:  # .net file renamed/deleted for some reason
                 LOG.debug(f"Loading '{name}' from intent cache")
                 self.objects.append(self.cls.from_file(name=name, folder=self.cache))
-            except:
+            except (FileNotFoundError, RuntimeError) as e:
                 LOG.debug(f"Regenerating cache for intent: {name}")
🧰 Tools
🪛 Ruff (0.8.2)

86-86: Do not use bare except

(E722)

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 31766e2 and fe55ac1.

📒 Files selected for processing (7)
  • ovos_padatious/intent.py (1 hunks)
  • ovos_padatious/intent_manager.py (1 hunks)
  • ovos_padatious/opm.py (2 hunks)
  • ovos_padatious/pos_intent.py (1 hunks)
  • ovos_padatious/simple_intent.py (4 hunks)
  • ovos_padatious/trainable.py (1 hunks)
  • ovos_padatious/training_manager.py (2 hunks)
👮 Files not reviewed due to content moderation or server errors (3)
  • ovos_padatious/simple_intent.py
  • ovos_padatious/training_manager.py
  • ovos_padatious/opm.py
🧰 Additional context used
🪛 Ruff (0.8.2)
ovos_padatious/intent_manager.py

57-57: Do not use bare except

(E722)

ovos_padatious/training_manager.py

86-86: Do not use bare except

(E722)

🪛 GitHub Actions: Run UnitTests
ovos_padatious/simple_intent.py

[error] 77-77: Not enough samples to learn intent: pos 2 / neg 0

🔇 Additional comments (22)
ovos_padatious/trainable.py (1)

36-36: LGTM! Good addition of return type annotation.

Adding the return type annotation to the abstract train method enforces a consistent error handling pattern across all implementing classes.

ovos_padatious/intent_manager.py (1)

51-52: LGTM! Good handling of empty case.

Early return for empty objects improves efficiency and error handling.

ovos_padatious/simple_intent.py (10)

Line range hint 66-78: LGTM! Improved error handling for insufficient training samples.

The changes enhance robustness by:

  1. Adding a return type annotation for better type safety.
  2. Adding error handling to prevent training with insufficient samples.
  3. Providing clear error messages in the logs.
🧰 Tools
🪛 GitHub Actions: Run UnitTests

[error] 77-77: Not enough samples to learn intent: pos 2 / neg 0


137-140: LGTM! Added error handling and file extension validation.

The changes improve robustness by:

  1. Checking if the neural network is trained before saving.
  2. Ensuring consistent file naming by appending .intent extension if missing.

146-149: LGTM! Added file existence check and extension validation.

The changes enhance robustness by:

  1. Ensuring consistent file naming by appending .intent extension if missing.
  2. Checking if the neural network file exists before loading.

137-140: LGTM! Added validation before saving the intent.

The changes improve error handling by:

  1. Validating that the neural network is trained before saving.
  2. Ensuring the correct file extension for consistency.

146-149: LGTM! Added validation before loading the intent.

The changes improve error handling by:

  1. Ensuring the correct file extension for consistency.
  2. Validating that the neural network file exists before loading.

Line range hint 66-78: LGTM! Improved error handling for insufficient training samples.

The changes enhance error handling by validating the presence of positive and negative samples before training. The error message is clear and helpful.

Run the following script to verify the error handling:

✅ Verification successful

Error handling for insufficient training samples is properly implemented

The verification confirms that:

  • The error handling is unique to SimpleIntent.train() and appropriate for its specific validation case
  • It integrates well with the broader error handling strategy in the training pipeline
  • Error messages are clear and provide sufficient context for debugging
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify error handling for insufficient training samples.

# Test: Search for error handling in training. Expect: Error message for insufficient samples.
rg -A 5 $'not enough samples to learn intent'

Length of output: 460


Script:

#!/bin/bash
# Search for other training-related error handling patterns
rg -B 2 -A 2 "LOG.error.*train" 

# Search for similar validation patterns
ast-grep --pattern 'if not $_ or not $_:
  $$$
  return False'

Length of output: 1163

🧰 Tools
🪛 GitHub Actions: Run UnitTests

[error] 77-77: Not enough samples to learn intent: pos 2 / neg 0


66-66: LGTM! Improved error handling for insufficient training samples.

The addition of the return type annotation and error handling for insufficient training samples is a good improvement. The error message is clear and helpful for debugging.

Also applies to: 76-78


134-134: LGTM! Added explicit success return value.

The explicit return of True after successful training completes the boolean return type contract.


137-140: LGTM! Added error handling for untrained intents and path normalization.

Good improvements:

  1. Prevents saving untrained intents, which could lead to runtime issues.
  2. Ensures consistent file extensions for intent files.

146-149: LGTM! Added error handling and path normalization in from_file method.

Good improvements that mirror the changes in the save method:

  1. Ensures consistent file extensions.
  2. Prevents loading untrained intents.
ovos_padatious/training_manager.py (6)

36-41: LGTM! Added error handling for training failures.

The changes improve robustness by:

  1. Checking the training result before saving to cache.
  2. Adding debug messages for both success and failure cases.

77-81: LGTM! Added hash file check for cache invalidation.

The changes improve robustness by ensuring training is performed when the hash file is missing.


36-41: LGTM! Added error handling for training failures.

The changes improve error handling by:

  1. Checking the return value from obj.train(data).
  2. Adding debug logging for training failures.

104-109: LGTM! Added proper error handling for cache loading failures.

The changes improve error handling by:

  1. Using a try-except block with proper exception handling.
  2. Logging the error message with exception details.

36-41: LGTM! Added error handling and logging for training outcomes.

Good improvements:

  1. Checks training success before saving to cache.
  2. Adds debug logging for both success and failure cases.

102-112: LGTM! Added proper error handling for cache loading.

Good improvements:

  1. Specific exception handling with error logging.
  2. Clear debug messages for training queue.
ovos_padatious/opm.py (4)

261-261: LGTM! Improved engine class initialization.

The changes enhance flexibility and transparency by:

  1. Making the engine class optional.
  2. Determining the engine class based on configuration.
  3. Adding a log message to indicate which engine class is being used.

Also applies to: 276-277


261-261: LGTM! Improved engine class initialization.

The changes improve the code by:

  1. Making the engine class selection more flexible with a None default.
  2. Adding logging to track which engine class is being used.

Also applies to: 276-277


261-261: LGTM! Made engine class selection more flexible.

Setting engine_class default to None allows for dynamic selection based on configuration.


276-277: LGTM! Added transparent engine class selection.

Good improvements:

  1. Clear logic for engine class selection based on configuration.
  2. Helpful logging to show which engine class is being used.

Comment on lines +53 to +58
if len(self.objects) == 1:
try:
match = self.objects[0].match(sent, entity_manager).detokenize()
return [match]
except:
return []
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⚠️ Potential issue

Specify the exception type instead of using bare except.

The bare except clause could mask important errors. Consider catching specific exceptions that you expect might occur during matching.

Apply this diff to improve error handling:

     if len(self.objects) == 1:
         try:
             match = self.objects[0].match(sent, entity_manager).detokenize()
             return [match]
-        except:
+        except Exception as e:
+            LOG.error(f"Error matching single intent: {e}")
             return []

Committable suggestion skipped: line range outside the PR's diff.

🧰 Tools
🪛 Ruff (0.8.2)

57-57: Do not use bare except

(E722)

Comment on lines +86 to +89
def train(self, train_data) -> bool:
for i in self.edges:
i.train(train_data)
return True
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🛠️ Refactor suggestion

Consider adding actual error handling.

The method always returns True regardless of whether training was successful. Consider adding error handling to accurately reflect the training outcome.

Apply this diff to improve error handling:

     def train(self, train_data) -> bool:
-        for i in self.edges:
-            i.train(train_data)
-        return True
+        try:
+            for i in self.edges:
+                i.train(train_data)
+            return True
+        except Exception as e:
+            LOG.error(f"Failed to train edges: {e}")
+            return False

Committable suggestion skipped: line range outside the PR's diff.

Comment on lines +77 to +80
success = self.simple_intent.train(train_data)
for i in self.pos_intents:
i.train(train_data)
return success
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🛠️ Refactor suggestion

Consider handling errors from pos_intents training.

The return value only reflects the success of simple_intent.train() but ignores potential failures in training pos_intents.

Apply this diff to improve error handling:

         success = self.simple_intent.train(train_data)
+        if not success:
+            return False
+        
+        pos_success = True
         for i in self.pos_intents:
-            i.train(train_data)
+            try:
+                if not i.train(train_data):
+                    pos_success = False
+                    break
+            except Exception as e:
+                LOG.error(f"Failed to train pos_intent: {e}")
+                pos_success = False
+                break
-        return success
+        return success and pos_success
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
success = self.simple_intent.train(train_data)
for i in self.pos_intents:
i.train(train_data)
return success
success = self.simple_intent.train(train_data)
if not success:
return False
pos_success = True
for i in self.pos_intents:
try:
if not i.train(train_data):
pos_success = False
break
except Exception as e:
LOG.error(f"Failed to train pos_intent: {e}")
pos_success = False
break
return success and pos_success

Comment on lines +83 to +88
try: # .net file renamed/deleted for some reason
LOG.debug(f"Loading '{name}' from intent cache")
self.objects.append(self.cls.from_file(name=name, folder=self.cache))
except:
LOG.debug(f"Regenerating cache for intent: {name}")

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🛠️ Refactor suggestion

Replace bare except with specific exception types.

The bare except clause can mask important errors. Consider catching specific exceptions like FileNotFoundError or RuntimeError.

Apply this diff to improve error handling:

-            try: # .net file renamed/deleted for some reason
-                LOG.debug(f"Loading '{name}' from intent cache")
-                self.objects.append(self.cls.from_file(name=name, folder=self.cache))
-            except:
-                LOG.debug(f"Regenerating cache for intent: {name}")
+            try:  # .net file renamed/deleted for some reason
+                LOG.debug(f"Loading '{name}' from intent cache")
+                self.objects.append(self.cls.from_file(name=name, folder=self.cache))
+            except (FileNotFoundError, RuntimeError) as e:
+                LOG.debug(f"Regenerating cache for intent: {name} - {str(e)}")
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
try: # .net file renamed/deleted for some reason
LOG.debug(f"Loading '{name}' from intent cache")
self.objects.append(self.cls.from_file(name=name, folder=self.cache))
except:
LOG.debug(f"Regenerating cache for intent: {name}")
try: # .net file renamed/deleted for some reason
LOG.debug(f"Loading '{name}' from intent cache")
self.objects.append(self.cls.from_file(name=name, folder=self.cache))
except (FileNotFoundError, RuntimeError) as e:
LOG.debug(f"Regenerating cache for intent: {name} - {str(e)}")
🧰 Tools
🪛 Ruff (0.8.2)

86-86: Do not use bare except

(E722)


🛠️ Refactor suggestion

Specify the exception type instead of using a bare except.

The bare except clause can hide errors and make debugging difficult.

Apply this diff to improve error handling:

-            try: # .net file renamed/deleted for some reason
-                LOG.debug(f"Loading '{name}' from intent cache")
-                self.objects.append(self.cls.from_file(name=name, folder=self.cache))
-            except:
-                LOG.debug(f"Regenerating cache for intent: {name}")
+            try:  # .net file renamed/deleted for some reason
+                LOG.debug(f"Loading '{name}' from intent cache")
+                self.objects.append(self.cls.from_file(name=name, folder=self.cache))
+            except (FileNotFoundError, RuntimeError) as e:
+                LOG.debug(f"Regenerating cache for intent: {name} - {str(e)}")
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
try: # .net file renamed/deleted for some reason
LOG.debug(f"Loading '{name}' from intent cache")
self.objects.append(self.cls.from_file(name=name, folder=self.cache))
except:
LOG.debug(f"Regenerating cache for intent: {name}")
try: # .net file renamed/deleted for some reason
LOG.debug(f"Loading '{name}' from intent cache")
self.objects.append(self.cls.from_file(name=name, folder=self.cache))
except (FileNotFoundError, RuntimeError) as e:
LOG.debug(f"Regenerating cache for intent: {name} - {str(e)}")
🧰 Tools
🪛 Ruff (0.8.2)

86-86: Do not use bare except

(E722)

@JarbasAl JarbasAl marked this pull request as draft January 31, 2025 05:02
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