chore: Integration test to show LabelStudio brick working with SDK (#21)

docs/requirements.txt

@@ -20,7 +20,7 @@ idna==3.4
     # via requests
 imagesize==1.4.1
     # via sphinx
-importlib-metadata==4.12.0
+importlib-metadata==5.0.0
     # via sphinx
 jinja2==3.1.2
     # via sphinx
@@ -38,7 +38,7 @@ requests==2.28.1
     # via sphinx
 snowballstemmer==2.2.0
     # via sphinx
-sphinx==5.1.1
+sphinx==5.2.3
     # via
     #   -r requirements/build.in
     #   sphinx-rtd-theme

requirements/build.txt

@@ -20,6 +20,8 @@ idna==3.4
     # via requests
 imagesize==1.4.1
     # via sphinx
+importlib-metadata==5.0.0
+    # via sphinx
 jinja2==3.1.2
     # via sphinx
 markupsafe==2.1.1
@@ -38,10 +40,10 @@ snowballstemmer==2.2.0
     # via sphinx
 sphinx==5.2.3
     # via
-    #   -r build.in
+    #   -r requirements/build.in
     #   sphinx-rtd-theme
 sphinx-rtd-theme==1.0.0
-    # via -r build.in
+    # via -r requirements/build.in
 sphinxcontrib-applehelp==1.0.2
     # via sphinx
 sphinxcontrib-devhelp==1.0.2
@@ -56,3 +58,5 @@ sphinxcontrib-serializinghtml==1.1.5
     # via sphinx
 urllib3==1.26.12
     # via requests
+zipp==3.8.1
+    # via importlib-metadata

requirements/test.in

@@ -7,3 +7,5 @@ click>=8.1
 flake8
 mypy
 pytest-cov
+label_studio_sdk
+vcrpy

requirements/test.txt

@@ -7,23 +7,37 @@
 attrs==22.1.0
     # via pytest
 black==22.8.0
-    # via -r test.in
+    # via -r requirements/test.in
+certifi==2022.9.24
+    # via requests
+charset-normalizer==2.1.1
+    # via requests
 click==8.1.3
     # via
-    #   -r test.in
+    #   -r requirements/test.in
     #   black
 coverage[toml]==6.4.4
     # via
-    #   -r test.in
+    #   -r requirements/test.in
     #   pytest-cov
 flake8==5.0.4
-    # via -r test.in
+    # via -r requirements/test.in
+idna==3.4
+    # via
+    #   requests
+    #   yarl
 iniconfig==1.1.1
     # via pytest
+label-studio-sdk==0.0.15
+    # via -r requirements/test.in
+lxml==4.9.1
+    # via label-studio-sdk
 mccabe==0.7.0
     # via flake8
+multidict==6.0.2
+    # via yarl
 mypy==0.982
-    # via -r test.in
+    # via -r requirements/test.in
 mypy-extensions==0.4.3
     # via
     #   black
@@ -40,6 +54,8 @@ py==1.11.0
     # via pytest
 pycodestyle==2.9.1
     # via flake8
+pydantic==1.8.2
+    # via label-studio-sdk
 pyflakes==2.5.0
     # via flake8
 pyparsing==3.0.9
@@ -47,7 +63,13 @@ pyparsing==3.0.9
 pytest==7.1.3
     # via pytest-cov
 pytest-cov==4.0.0
-    # via -r test.in
+    # via -r requirements/test.in
+pyyaml==6.0
+    # via vcrpy
+requests==2.28.1
+    # via label-studio-sdk
+six==1.16.0
+    # via vcrpy
 tomli==2.0.1
     # via
     #   black
@@ -55,4 +77,15 @@ tomli==2.0.1
     #   mypy
     #   pytest
 typing-extensions==4.3.0
-    # via mypy
+    # via
+    #   black
+    #   mypy
+    #   pydantic
+urllib3==1.26.12
+    # via requests
+vcrpy==4.2.1
+    # via -r requirements/test.in
+wrapt==1.14.1
+    # via vcrpy
+yarl==1.8.1
+    # via vcrpy

test_unstructured/staging/test_label_studio.py

@@ -3,12 +3,69 @@ import unstructured.staging.label_studio as label_studio
 
 from unstructured.documents.elements import Title, NarrativeText
 
+from label_studio_sdk.client import Client
+
+import logging
+import re
+import vcr
+
 
 @pytest.fixture
 def elements():
     return [Title(text="Title 1"), NarrativeText(text="Narrative 1")]
 
 
+@vcr.use_cassette("test_unstructured/vcr_fixtures/cassettes/label_studio_upload.yaml")
+def test_upload_label_studio_data_with_sdk(caplog, elements):
+    """
+    Testing Instructions
+    ====================
+    1. Remove file `test_unstructured/vcr_fixtures/cassettes/label_studio_upload.yaml`,
+        which will be recreated later.
+    2. Install the label-studio package by running command `pip install -U label-studio`.
+    3. Run command `label-studio`, and login or set up label studio account on pop-up website.
+    4. Update `LABEL_STUDIO_URL` and `API_KEY` below, you can find your API_KEY by
+        clicking into your account profile.
+    5. Run this test once, and VCR will record the HTTP request to the yaml file.
+    6. Kill the label studio instance and run the test again, VCR will replay the response.
+    """
+    log = logging.getLogger("urllib3")
+    log.setLevel(logging.DEBUG)
+    # Define the URL where Label Studio is accessible
+    LABEL_STUDIO_URL = "http://localhost:8080"
+    # API_KEY is a temporary key from local install not actually valid anywhere
+    # Update it if the vcr cassette is updated with the API key from your user account
+    API_KEY = "d44b92c31f592583bffb7e0d817a60c16a937bca"
+    # Connect to the Label Studio API and check the connection
+    ls = Client(url=LABEL_STUDIO_URL, api_key=API_KEY)
+    ls.check_connection()
+    ls.delete_all_projects()
+    # Create a sample project to classify types of texts
+    project = ls.start_project(
+        title="Text Type Classifications",
+        label_config="""
+        <View>
+        <Text name="text" value="$text"/>
+        <View style="box-shadow: 2px 2px 5px #999;
+                       padding: 20px; margin-top: 2em;
+                       border-radius: 5px;">
+            <Header value="Choose text type"/>
+            <Choices name="type" toName="text"
+                    choice="single" showInLine="true">
+            <Choice value="Title"/>
+              <Choice value="Narrative"/>
+            </Choices>
+        </View>
+        </View>
+        """,
+    )
+    label_studio_data = label_studio.stage_for_label_studio(elements)
+    project.import_tasks(label_studio_data)
+    # Check success status code (201) for posting tasks job in logger info
+    success_posting_tasks_status = re.compile(r"POST /api/projects/.*/import.*201")
+    assert bool(success_posting_tasks_status.search(caplog.text))
+
+
 def test_convert_to_label_studio_data(elements):
     label_studio_data = label_studio.stage_for_label_studio(elements)
 

test_unstructured/vcr_fixtures/cassettes/label_studio_upload.yaml

@@ -0,0 +1,319 @@
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+      Connection:
+      - keep-alive
+      User-Agent:
+      - python-requests/2.27.1
+    method: GET
+    uri: http://localhost:8080/health
+  response:
+    body:
+      string: '{"status": "UP"}'
+    headers:
+      Content-Language:
+      - en-us
+      Content-Length:
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