feat(SemanticSearch): Added a new semantic search agent that uses fuzzy string mathcing and levenshtein distance. #103
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…. The project was not building without this update, using the same package values specified.
…zy string mathcing and levenshtein distance.
Kaushl2208
approved these changes
Oct 24, 2024
Kaushl2208
added
need test
GSoC-24
Kaushl2208
requested changes
Feb 5, 2025
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@Hero2323 , I tested the working! Found some issues :)
Also, Update the README on how to use SemanticSearch Agent. (processLicenseList flag) etc.
Please take a look.
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| def __init__(self, licenseList): | ||
| super().__init__(licenseList) |
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Suggested change
| def __init__(self, licenseList): | |
| super().__init__(licenseList) | |
| def __init__(self, licenseList, verbose=0): | |
| super().__init__(licenseList) |
If verbose type output is planned, The input flag for verbose is defined but not passed. Prone to throw error
| fuzzy_similarity_matrix_2 = np.zeros(len(self.licenseList)) | ||
| for i in range(len(self.licenseList)): | ||
| fuzzy_similarity_matrix_2[i] = fuzz.ratio(appended_comment, self.licenseList.loc[i, 'text']) | ||
| if pd.notna(licenseList.loc[i, 'license_header']): |
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| if pd.notna(licenseList.loc[i, 'license_header']): | |
| if pd.notna(self.licenseList.loc[i, 'license_header']): |
licenseList variable is not accessible
| args = parser.parse_args() | ||
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| inputFile = args.inputFile | ||
| licenseList = args.processedLicenseList |
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Can we also make it more reliable, If user doesnt provide processedLicenseList, Agent should pick what we already have :)
Something like:
defaultProcessed = resource_filename("atarashi",
"data/licenses/processedLicenses.csv")
if processedLicense is None:
processedLicense = defaultProcessed
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Added a new Semantic Search Agent that can be used as follows:
atarashi -a SemanticSearch /path/to/file.c