uv, python 3.12, only ._.blob access, remove textblob-de

.github/workflows/pytest.yml

@@ -7,37 +7,27 @@ on:
   pull_request:
     branches: [ main ]
   push:
-    branches: 
+    branches:
       - main
+  workflow_dispatch:
 
 jobs:
   build:
 
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.7", "3.8", "3.9"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
 
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python ${{ matrix.python-version }}
       uses: actions/setup-python@v2
       with:
         python-version: ${{ matrix.python-version }}
-    - name: Install python dependencies
+    - name: Setup uv
       run: |
-        curl -sSL https://install.python-poetry.org | python3 -
-        poetry export --without-hashes --output requirements.txt
-        python -m pip install --upgrade pip
-        pip install wheel
-        pip install -r requirements.txt
-        python -m textblob.download_corpora
-        python -m spacy download en_core_web_sm
-        pip install textblob-de
-        python -m spacy download de_core_news_sm
-        pip install textblob-fr
-        python -m spacy download fr_core_news_sm
-        pip install pytest
+        curl -LsSf https://astral.sh/uv/install.sh | sh
     - name: Test with pytest
       run: |
-        pytest
+        uv run --python ${{ matrix.python-version }} --all-extras pytest

CONTRIBUTING.md

@@ -4,13 +4,12 @@
 
 ## Development environment
 
-### poetry
+### uv
 
-`poetry` is used to manage python dependencies. See the docs on how to install python [https://python-poetry.org/](https://python-poetry.org/). To activate the poetry virtual environment run the following commands:
+`uv` is used to manage python dependencies. Run the following to install `uv`:
 
 ```bash
-poetry install
-poetry shell
+curl -LsSf https://astral.sh/uv/install.sh | sh
 ```
 
 ### just
@@ -19,24 +18,26 @@ poetry shell
 
 ## Code formatting
 
-Please use the [black](https://black.readthedocs.io/en/stable/) for formatting code before submitting a PR.
-
 ```bash
-black spacytextblob
+just format
 ```
 
 ## Testing
 
 Please validate that all tests pass before submitting a PR by running:
 
 ```bash
-pytest
+# Test against the latest supported version of Python
+just test
+
+# Tet against all supported versions of Python
+just test-matrix
 ```
 
 ## Docs
 
 To build the docs and visually inspect the docs please run:
 
 ```bash
-just docs
+just preview-docs
 ```

docs/api.md

@@ -34,7 +34,6 @@ When adding *spacytextblob* to your spaCy pipeline you can optionally pass addit
 
 | Name | Type | Description |
 |------|------|-------------|
-| `blob_only` | `bool` | If True, *spacytextblob* will only expose `._.blob` and not attempt to expose `._.polarity`, `._.subjectivity`, or `._.assessments`. This should always be set to True when using TextBlob extensions. By default `False`. |
 | `custom_blob` | `Dict[str, str]` | The `"custom_blob"` key should be assigned to a dictionary that tells spaCy what function to replace `textblob.TextBlob` with. In this case, we want to replace it with `TextBlobDE`. The key of the dictionary is `"@misc"`. This tells spaCy to look into the misc section of the spaCy register. The value should be the string name of a function that you have registered with spaCy. See the [TextBlob extensions](tutorial/textblob_extensions.md) section for more details. |
 
 
@@ -45,7 +44,6 @@ from spacytextblob.spacytextblob import SpacyTextBlob
 nlp = spacy.load("de_core_news_sm")
 
 nlp.add_pipe( "spacytextblob", config={
-    "blob_only": ...,     # bool
     "custom_blob": ...    # Dict[str, str]
 })
 ```
@@ -61,5 +59,5 @@ Using *spacytextblob* without an extension:
 Using *spacytextblob* with an extension:
 
 ```python
-{! docs/static/reference_code/textblob_de_example.py !}
+{! docs/static/reference_code/textblob_fr_example.py !}
 ```

docs/changelog.md

@@ -1,5 +1,17 @@
 # Changelog
 
+## 5.0.0 (2024-10-12)
+
+**Breaking changes**
+
+- Update supported Python versions from 3.9 to 3.12.
+- Removed support for the `textblob-de` extension. See [#25](https://github.com/SamEdwardes/spacytextblob/issues/25) for more details.
+- Removed support for accessing `._.polarity`, `._.sentiment`, `._.subjectivity`, and `._.assessments`. Now, only the `._.blob` attribute is exposed. All other textblob attributes should be access through it. For example: `._.blob.polarity`, `._.blob.sentiment`, `._.blob.subjectivity`, and `._.blob.sentiment_assessments.assessments`. This simplifies the code base and makes it easier to maintain. Lastly, this means that the config option `{"blob_only": bool}` was removed.
+
+**Other changes**
+
+- Use `uv` instead of `poetry`.
+
 ## 4.0.0 (2022-02-19)
 
 - New custom attribute `doc._.blob`, `span._.blob`, `token._.blob`.

docs/static/reference_code/spacytextblob_example.py

@@ -1,7 +1,8 @@
 import spacy
-from spacytextblob.spacytextblob import SpacyTextBlob
 
-nlp = spacy.load('en_core_web_sm')
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
+
+nlp = spacy.load("en_core_web_sm")
 text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
 nlp.add_pipe("spacytextblob")
 doc = nlp(text)
@@ -16,4 +17,4 @@
 # [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
 
 print(doc._.blob.ngrams())
-# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]
+# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]

docs/static/reference_code/textblob_de_example.py

@@ -1,22 +1,21 @@
 import spacy
-from spacytextblob.spacytextblob import SpacyTextBlob
 from textblob_de import TextBlobDE
 
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
 
-text = '''
-Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss 
-unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider 
+text = """
+Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss
+unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider
 habe ich nur noch EUR 3.50 in meiner Brieftasche.
-'''
+"""
+
 
 @spacy.registry.misc("spacytextblob.de_blob")
 def create_de_blob():
     return TextBlobDE
 
-config = {
-    "blob_only": True,
-    "custom_blob": {"@misc": "spacytextblob.de_blob"}
-}
+
+config = {"custom_blob": {"@misc": "spacytextblob.de_blob"}}
 
 nlp = spacy.load("de_core_news_sm")
 nlp.add_pipe("spacytextblob", config=config)

docs/static/reference_code/textblob_example.py

@@ -13,4 +13,4 @@
 # [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
 
 print(blob.ngrams())
-# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]
+# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]

docs/static/reference_code/textblob_fr_example.py

@@ -1,26 +1,26 @@
 import spacy
-from spacytextblob.spacytextblob import SpacyTextBlob
 from textblob import Blobber
-from textblob_fr import PatternTagger, PatternAnalyzer
+from textblob_fr import PatternAnalyzer, PatternTagger
+
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
+
 
 @spacy.registry.misc("spacytextblob.fr_blob")
 def create_fr_blob():
     tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
     return tb
 
-config = {
-    "blob_only": True,
-    "custom_blob": {"@misc": "spacytextblob.fr_blob"}
-}
+
+config = {"custom_blob": {"@misc": "spacytextblob.fr_blob"}}
 
 nlp_fr = spacy.load("fr_core_news_sm")
 nlp_fr.add_pipe("spacytextblob", config=config)
-text = u"Quelle belle matinée"
+text = "Quelle belle matinée"
 doc = nlp_fr(text)
 
 print(doc)
 # Quelle belle matinée
 print(doc._.blob)
 # Quelle belle matinée
 print(doc._.blob.sentiment)
-# Quelle belle matinée
+# (0.8, 0.8)

docs/tutorial/textblob_extensions.md

@@ -9,76 +9,49 @@ TextBlob supports adding custom models and new languages through “extensions
 ```python linenums="1"
 import spacy
 from spacytextblob.spacytextblob import SpacyTextBlob
-from textblob_de import TextBlobDE # (1)
+from textblob import Blobber
+from textblob_fr import PatternTagger, PatternAnalyzer # (1)
 
+text = u"Quelle belle matinée"
 
-text = '''
-Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss 
-unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider 
-habe ich nur noch EUR 3.50 in meiner Brieftasche.
-'''
+@spacy.registry.misc("spacytextblob.fr_blob") # (2)
+def create_fr_blob():
+    tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
+    return tb # (3)
 
-@spacy.registry.misc("spacytextblob.de_blob") # (2)
-def create_de_blob():
-    return TextBlobDE # (3)
+nlp_fr = spacy.load("fr_core_news_sm")
 
-
-nlp = spacy.load("de_core_news_sm")
-
-nlp.add_pipe(
-    "spacytextblob",  # (4)
+nlp_fr.add_pipe(
+    "spacytextblob", # (4)
     config={ # (5)
-        "blob_only": True, # (6)
-        "custom_blob": {"@misc": "spacytextblob.de_blob"} # (7)
+        "custom_blob": {"@misc": "spacytextblob.fr_blob"} # (6)
     }
 )
-doc = nlp(text)
 
-print(doc._.blob.sentences)
-# [Sentence("Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag."), Sentence("Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen."), Sentence("Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.")]
+doc = nlp_fr(text)
 
+print(doc)
+# Quelle belle matinée
+print(doc._.blob)
+# Quelle belle matinée
 print(doc._.blob.sentiment)
-# Sentiment(polarity=0.0, subjectivity=0.0)
-
-print(doc._.blob.tags)
-# [('Heute', 'RB'), ('ist', 'VB'), ('der', 'DT'), ('3.', 'LS'), ('Mai', 'NN'), ('2014', 'CD'), ('und', 'CC'), ('Dr.', 'NN'), ('Meier', 'NN'), ('feiert', 'NN'), ('seinen', 'PRP$'), ('43.', 'CD'), ('Geburtstag', 'NN'), ('Ich', 'PRP'), ('muss', 'VB'), ('unbedingt', 'RB'), ('daran', 'RB'), ('denken', 'VB'), ('Mehl', 'NN'), ('usw.', 'IN'), ('für', 'IN'), ('einen', 'DT'), ('Kuchen', 'JJ'), ('einzukaufen', 'NN'), ('Aber', 'CC'), ('leider', 'VBN'), ('habe', 'VB'), ('ich', 'PRP'), ('nur', 'RB'), ('noch', 'IN'), ('EUR', 'NN'), ('3.50', 'CD'), ('in', 'IN'), ('meiner', 'JJ'), ('Brieftasche', 'NN')]
+# (0.8, 0.8)
 ```
 
 1. Load the TextBlob extension package.
-2. For a function to be used inside the NLP pipeline you must register the function with spacy using `@spacy.registry.misc()`. You can name the function what ever you like. For the example I have registered the function with the name `"spacytextblob.de_blob"`.
-3. *spacytextblob* is able to support TextBlob extensions by replacing the default `textblob.TextBlob` with an alternative. In the case of the [textblob-de](https://github.com/markuskiller/textblob-de) extension they provide an alternative blob that you can import (`from textblob_de import TextBlobDE`).
+2. For a function to be used inside the NLP pipeline you must register the function with spacy using `@spacy.registry.misc()`. You can name the function what ever you like. For the example I have registered the function with the name `"spacytextblob.fr_blob"`.
+3. *spacytextblob* is able to support TextBlob extensions by replacing the default `textblob.TextBlob` with an alternative.
 4. Add *spacytextblob* to your spaCy pipeline as you normally would.
 5. The `config` parameter allows you to pass additional configuration options to the *spacytextblob* pipeline.
-6. When using a TextBlob extension you should always set `"blob_only": True`. The extension may modify the textblob.TextBlob object. By setting `"blob_only": True` *spacytextblob* will only expose `._.blob` and not attempt to expose `._.polarity`, `._.subjectivity`, or `._.assessments`.
-7. The `"custom_blob"` key should be assigned to a dictionary that tells spaCy what function to replace `textblob.TextBlob` with. In this case, we want to replace it with `TextBlobDE`. The key of the dictionary is `"@misc"`. This tells spaCy to look into the misc section of the spaCy register. The value should be the string name of the function that we registered above in line 12.
+6. The `"custom_blob"` key should be assigned to a dictionary that tells spaCy what function to replace `textblob.TextBlob` with. In this case, we want to replace it with `TextBlobDE`. The key of the dictionary is `"@misc"`. This tells spaCy to look into the misc section of the spaCy register. The value should be the string name of the function that we registered above in line 12.
 
 ## Extensions
 
 The following extensions have been tested and are supported. Other extensions may work, but have not been tested.
 
-### textblob-de
-
-textblob-de is a TextBlob extensions that enables German language support for TextBlob by Steven Loria ([https://github.com/markuskiller/textblob-de](https://github.com/markuskiller/textblob-de)). 
-
-```bash
-pip install textblob-de
-```
-
-To use it with *spacytextblob* First install a spaCy model that supports German ([https://spacy.io/models/de](https://spacy.io/models/de)):
-
-```bash
-python -m spacy download de_core_news_sm
-```
-
-The code below demonstrates how you can then use and access textblob-de within *spacytextblob*.
-
-```python linenums="1"
-{! docs/static/reference_code/textblob_de_example.py !}
-```
-
 ### textblob-fr
 
-textblob-fr is a TextBlob extension that enables French language support for TextBlob ([https://github.com/sloria/textblob-fr](https://github.com/sloria/textblob-fr)). 
+textblob-fr is a TextBlob extension that enables French language support for TextBlob ([https://github.com/sloria/textblob-fr](https://github.com/sloria/textblob-fr)).
 
 ```bash
 pip install textblob-fr
@@ -96,9 +69,14 @@ The code below demonstrates how you can then use and access textblob-fr within *
 {! docs/static/reference_code/textblob_fr_example.py !}
 ```
 
+### textblob-de
+
+!!! warning
+
+    textblob-de is **not** supported. As of spacytextblob 4.1.0. The textblob-de library depends on a Google Translate feature that no longer works. More details can be found in this issue [https://github.com/markuskiller/textblob-de/issues/24](https://github.com/markuskiller/textblob-de/issues/24).
+
 ### textblob-aptagger
 
 !!! warning
 
     textblob-aptagger is **not** supported. As of TextBlob 0.11.0, TextBlob uses NLTK's averaged perceptron tagger by default. This package is no longer necessary ([https://github.com/sloria/textblob-aptagger](https://github.com/sloria/textblob-aptagger)).
-