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feat: multilingual wordnet #34
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check laguage specific wordnets for ['en', 'als', 'arb', 'bg', 'cmn', 'da', 'el', 'fi', 'fr', 'he', 'hr', 'is', 'it', 'it-iwn', 'ja', 'ca', 'eu', 'gl', 'es', 'id', 'zsm', 'nl', 'nn', 'nb', 'pl', 'pt', 'ro', 'lt', 'sk', 'sl', 'sv', 'th']
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check laguage specific wordnets for ['en', 'als', 'arb', 'bg', 'cmn', 'da', 'el', 'fi', 'fr', 'he', 'hr', 'is', 'it', 'it-iwn', 'ja', 'ca', 'eu', 'gl', 'es', 'id', 'zsm', 'nl', 'nn', 'nb', 'pl', 'pt', 'ro', 'lt', 'sk', 'sl', 'sv', 'th']
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (6)
__init__.py (6)
66-68
: Simplify nestedif
statements into a single conditionThe nested
if
statements at lines 66-68 can be combined into a singleif
statement for better readability.Apply this diff to simplify the condition:
- if not defi: - # translate if possible - if Wordnet.translator is not None: + if not defi and Wordnet.translator is not None:🧰 Tools
🪛 Ruff (0.8.0)
66-68: Use a single
if
statement instead of nestedif
statements(SIM102)
92-92
: Use a more descriptive variable name instead ofl
The variable
l
is ambiguous and can be confusing. Consider renaming it tolemma
for clarity.Apply this diff to improve variable naming:
- return [l.name().replace("_", " ") for l in synset.lemmas(lang=lang)] + return [lemma.name().replace("_", " ") for lemma in synset.lemmas(lang=lang)]🧰 Tools
🪛 Ruff (0.8.0)
92-92: Ambiguous variable name:
l
(E741)
166-166
: Use a more descriptive variable name instead ofl
Replacing
l
withhypernym
enhances code readability and avoids ambiguity.Apply this diff to improve variable naming:
- return [l.name().split(".")[0].replace("_", " ") for l in - synset.lowest_common_hypernyms(synset2, lang=lang)] + return [hypernym.name().split(".")[0].replace("_", " ") for hypernym in + synset.lowest_common_hypernyms(synset2, lang=lang)]🧰 Tools
🪛 Ruff (0.8.0)
166-166: Ambiguous variable name:
l
(E741)
183-183
: Use a more descriptive variable name instead ofl
Renaming
l
toantonym
clarifies the purpose of the variable.Apply this diff to improve variable naming:
- return [l.name().split(".")[0].replace("_", " ") for l in antonyms] + return [antonym.name().split(".")[0].replace("_", " ") for antonym in antonyms]🧰 Tools
🪛 Ruff (0.8.0)
183-183: Ambiguous variable name:
l
(E741)
105-108
: Handle empty lemmas in hypernyms to avoid potential errorsThere might be cases where
hypernym.lemmas(lang=lang)
returns an empty list, leading to potential errors when processing.Apply this diff to add a check:
for hypernym in synset.hypernyms(): - lang_h += [lemma.name().split(".")[0].replace("_", " ") - for lemma in hypernym.lemmas(lang=lang)] + lemmas = hypernym.lemmas(lang=lang) + if lemmas: + lang_h += [lemma.name().split(".")[0].replace("_", " ") + for lemma in lemmas]
151-153
: Handle empty lemmas in root hypernyms to avoid potential errorsSimilar to hypernyms, ensure that empty lemmas are handled in root hypernyms.
Apply this diff to add a check:
for hypernym in synset.root_hypernyms(): - lang_h += [lemma.name().split(".")[0].replace("_", " ") - for lemma in hypernym.lemmas(lang=lang)] + lemmas = hypernym.lemmas(lang=lang) + if lemmas: + lang_h += [lemma.name().split(".")[0].replace("_", " ") + for lemma in lemmas]
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (2)
__init__.py
(6 hunks)requirements.txt
(0 hunks)
💤 Files with no reviewable changes (1)
- requirements.txt
🧰 Additional context used
🪛 Ruff (0.8.0)
__init__.py
66-68: Use a single if
statement instead of nested if
statements
(SIM102)
92-92: Ambiguous variable name: l
(E741)
166-166: Ambiguous variable name: l
(E741)
183-183: Ambiguous variable name: l
(E741)
🔇 Additional comments (2)
__init__.py (2)
223-231
:
Handle cases where the language code is not supported
In the get_data
method, if the language code is not present in Wordnet.LANGMAP
, it will raise a KeyError
. It's better to handle this scenario gracefully.
Apply this diff to add error handling:
try:
- lang = Wordnet.LANGMAP[standardize_lang_tag(lang.split("-")[0])]
+ lang_code = standardize_lang_tag(lang.split("-")[0])
+ lang = Wordnet.LANGMAP[lang_code]
except KeyError:
# Language not supported
+ self.speak_dialog("language_not_supported", {"lang": lang})
return {}
Ensure that there is a corresponding dialog file language_not_supported.dialog
with an appropriate message.
Likely invalid or redundant comment.
223-224
: Verify that language codes are valid and supported
Ensure that the lang
parameter passed to wn.synsets
is valid and supported by NLTK WordNet. Invalid language codes can cause unexpected errors.
Run the following script to list all supported language codes:
✅ Verification successful
Language codes are properly validated through LANGMAP dictionary
The code safely handles language codes through the LANGMAP
dictionary that maps ISO language codes to WordNet-specific language codes. Before using any language code with wn.synsets()
, the code:
- Splits the input language code to handle extended tags (e.g., "en-US" -> "en")
- Standardizes it using
standardize_lang_tag
- Maps it to the correct WordNet language code via
LANGMAP
The supported languages are clearly defined in the LANGMAP
dictionary, which includes common languages like English (en/eng), Portuguese (pt/por), Spanish (es/spa), French (fr/fra), etc. Any unsupported language code would raise a KeyError before reaching wn.synsets()
.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: List all supported language codes in NLTK WordNet
python -c 'import nltk; nltk.download("omw-1.4"); from nltk.corpus import wordnet as wn; print(wn.langs())'
Length of output: 206
Script:
#!/bin/bash
# Let's examine how the lang parameter is used in the codebase
rg "lang\s*=|lang:" -A 2 -B 2
# Also search for any language code validation or configuration
rg -i "language.*code|lang.*support" -A 2 -B 2
Length of output: 11311
Script:
#!/bin/bash
# Let's check for LANGMAP definition and language validation logic
rg "LANGMAP\s*=" -A 5 -B 2
# Also check for standardize_lang_tag function
ast-grep --pattern 'def standardize_lang_tag($_)'
Length of output: 710
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Actionable comments posted: 1
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (2)
__init__.py
(6 hunks)requirements.txt
(0 hunks)
💤 Files with no reviewable changes (1)
- requirements.txt
🧰 Additional context used
🪛 Ruff (0.8.0)
__init__.py
66-68: Use a single if
statement instead of nested if
statements
(SIM102)
92-92: Ambiguous variable name: l
(E741)
166-166: Ambiguous variable name: l
(E741)
183-183: Ambiguous variable name: l
(E741)
check laguage specific wordnets for ['en', 'als', 'arb', 'bg', 'cmn', 'da', 'el', 'fi', 'fr', 'he', 'hr', 'is', 'it', 'it-iwn', 'ja', 'ca', 'eu', 'gl', 'es', 'id', 'zsm', 'nl', 'nn', 'nb', 'pl', 'pt', 'ro', 'lt', 'sk', 'sl', 'sv', 'th']
drop ovos-classifier dependency
Summary by CodeRabbit
New Features
Wordnet
class for enhanced linguistic data retrieval, including methods for obtaining definitions, examples, synonyms, antonyms, and more.Bug Fixes
WordnetSkill
class to improve performance and reliability in handling word-related queries.Chores
ovos-classifiers
from the requirements.Documentation