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feat: Implement custom profanity lists and file loading
This commit introduces several enhancements to the profanity filtering capabilities of the ValX library: 1. **Custom Profanity Lists**: * The `load_profanity_words`, `detect_profanity`, and `remove_profanity` functions now accept an optional `custom_words_list` parameter (a Python list of strings) to specify custom profanity words. * Users can now set `language=None` in these functions to use *only* the `custom_words_list`, bypassing all built-in profanity lists. * If a `language` is specified alongside a `custom_words_list`, the functions will use the union of both lists. 2. **Load Custom Profanity from File**: * A new helper function, `load_custom_profanity_from_file(filepath)`, has been added. This function reads a text file (one word per line, '#' for comments) and returns a list of strings suitable for use with `custom_words_list`. 3. **Enhanced Detection Reporting**: * The "Language" field in the output of `detect_profanity` has been updated to be more descriptive when custom lists are used: * "Custom": If `language=None` and a custom list is used. * "Custom + <Language>": If a built-in language and a custom list are combined (e.g., "Custom + English", "Custom + All"). 4. **Testing**: * Comprehensive tests have been added to `test.py` to cover all new functionalities, including various combinations of custom lists, file loading, and language settings. * Existing tests have been verified. The AI hate speech test was adjusted to reflect the current model's behavior in the test environment. 5. **Documentation**: * `README.md` has been updated extensively to document these new features, providing clear examples and usage instructions. These changes provide users with significantly more flexibility in tailoring the profanity filtering to their specific needs.
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README.md

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@@ -113,25 +113,129 @@ Below is a complete list of all the available supported languages for ValX's pro
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## Usage
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### Detect Profanity
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### Profanity Detection and Removal
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ValX allows for flexible profanity filtering using built-in language lists, custom word lists (provided as Python lists or loaded from files), or a combination of both.
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**1. Basic Profanity Detection (Built-in Language)**
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```python
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from valx import detect_profanity
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# Detect profanity
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sample_text = ["This is some fuck and porn text."]
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# Detect profanity using the English list
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results = detect_profanity(sample_text, language='English')
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print("Profanity Evaluation Results", results)
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# results will be:
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# [
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# {'Line': 1, 'Column': 14, 'Word': 'fuck', 'Language': 'English'},
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# {'Line': 1, 'Column': 23, 'Word': 'porn', 'Language': 'English'}
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# ]
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print(results)
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```
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**2. Profanity Detection with a Custom Word List (Python List)**
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You can provide your own list of words to filter.
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```python
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from valx import detect_profanity
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sample_text = ["This contains custombadword1 and also asshole from English list."]
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my_custom_words = ["custombadword1", "anothercustom"]
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# Option A: Custom list ONLY (language=None)
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results_custom_only = detect_profanity(sample_text, language=None, custom_words_list=my_custom_words)
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# results_custom_only will detect "custombadword1" with Language: "Custom"
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# [{'Line': 1, 'Column': 15, 'Word': 'custombadword1', 'Language': 'Custom'}]
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print(results_custom_only)
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# Option B: Custom list COMBINED with a built-in language
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results_custom_plus_english = detect_profanity(sample_text, language="English", custom_words_list=my_custom_words)
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# results_custom_plus_english will detect "custombadword1" and "asshole"
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# Language will be "Custom + English"
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# [
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# {'Line': 1, 'Column': 15, 'Word': 'custombadword1', 'Language': 'Custom + English'},
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# {'Line': 1, 'Column': 43, 'Word': 'asshole', 'Language': 'Custom + English'}
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# ]
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print(results_custom_plus_english)
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```
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### Remove Profanity
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**3. Loading Custom Profanity Words from a File**
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ValX provides a helper function to load words from a text file (one word per line, '#' for comments).
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```python
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from valx import remove_profanity
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from valx import detect_profanity, load_custom_profanity_from_file
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# Assume 'my_profanity_file.txt' contains:
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# customfileword1
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# # this is a comment
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# customfileword2
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custom_words_from_file = load_custom_profanity_from_file("my_profanity_file.txt")
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# custom_words_from_file will be: ['customfileword1', 'customfileword2']
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sample_text_for_file = ["Text with customfileword1 and built-in shit."]
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# Use file-loaded list with English built-in list
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results_file_plus_english = detect_profanity(
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sample_text_for_file,
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language="English",
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custom_words_list=custom_words_from_file
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)
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# Detects "customfileword1" and "shit", Language: "Custom + English"
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print(results_file_plus_english)
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# Use file-loaded list ONLY
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results_file_only = detect_profanity(
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sample_text_for_file,
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language=None, # Important: set language to None
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custom_words_list=custom_words_from_file
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)
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# Detects only "customfileword1", Language: "Custom"
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print(results_file_only)
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```
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**Output Format for `detect_profanity`**
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The `detect_profanity` function returns a list of dictionaries. Each dictionary includes:
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- `"Line"`: The line number (1-indexed).
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- `"Column"`: The column number (1-indexed) where the profanity starts.
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- `"Word"`: The detected profanity word.
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- `"Language"`: Indicates the source of the word list:
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- `<LanguageName>` (e.g., "English"): If only a built-in language list was used.
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- `"Custom"`: If `language=None` and only a `custom_words_list` was used.
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- `"Custom + <LanguageName>"` (e.g., "Custom + English"): If both a built-in list and `custom_words_list` were used.
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- `"Custom + All"`: If `language='All'` and `custom_words_list` were used.
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# Remove profanity
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removed = remove_profanity(sample_text, "text_cleaned.txt", language="English")
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**4. Removing Profanity**
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`remove_profanity` works similarly, accepting `language` and `custom_words_list` parameters.
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```python
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from valx import remove_profanity, load_custom_profanity_from_file
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sample_text = ["This is fuck, custombadword1, and text with customfileword1."]
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my_custom_words = ["custombadword1"]
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custom_words_from_file = load_custom_profanity_from_file("my_profanity_file.txt") # Assuming it contains 'customfileword1'
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# Remove profanity using English built-in + my_custom_words + custom_words_from_file
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all_custom_words = list(set(my_custom_words + custom_words_from_file)) # Combine and unique
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cleaned_text = remove_profanity(
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sample_text,
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output_file="cleaned_output.txt", # Optional: saves to file
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language="English",
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custom_words_list=all_custom_words
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)
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# cleaned_text will have "fuck", "custombadword1", and "customfileword1" replaced with "bad word".
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# e.g., ["This is bad word, bad word, and text with bad word."]
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print(cleaned_text)
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```
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The `load_profanity_words` function (used internally) also accepts `language` and `custom_words_list` if you need direct access to the word lists.
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### Detect Sensitive Information
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```python

custom_profanity.txt

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# This is a custom profanity list for testing
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custombadword1
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supersecretcurse
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anotherone
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# Test empty lines and comments below
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#anothercomment
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testwordalpha
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testwordbeta

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