Install dependencies with uv

We've been installing Python dependencies with Pip, and not tracking
their versions. Since we've started using uv in some other Python
projects it probably makes sense to add here so that speech-to-text can
be tracked by infra-team's weekly dependency update process.

Closes #80
Refs #65

.autoupdate/preupdate

@@ -0,0 +1,17 @@
+
+#!/bin/bash
+
+# This script is called by our weekly dependency update job in Jenkins
+
+pip3 install uv > was-pywb.txt &&
+    ~/.local/bin/uv lock --upgrade >> speech-to-text.txt
+
+retVal=$?
+
+git add uv.lock &&
+    git commit -m "Update Python dependencies"
+
+if [ $retVal -ne 0 ]; then
+    echo "ERROR UPDATING PYTHON (speech-to-text)"
+    cat speech-to-text.txt
+fi

.github/workflows/test.yml

@@ -6,7 +6,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8]
+        python-version: [3.11]
     steps:
 
       - name: checkout
@@ -33,10 +33,10 @@ jobs:
 
       - name: Install Python dependencies
         run: |
-          pip install -r requirements.txt
+          pip install uv
 
       - name: Run type checking
-        run: mypy .
+        run: uv run mypy .
 
       - name: Download code coverage reporter and notify Code Climate of the build
         run: |
@@ -45,7 +45,7 @@ jobs:
           ./cc-test-reporter before-build
 
       - name: Run tests
-        run: pytest --cov-report=xml
+        run: uv run pytest --cov-report=xml
 
       - name: Notify Code Climate that the build is done
         env:

Dockerfile

@@ -13,9 +13,9 @@ ADD ./whisper_models whisper_models
 ADD ./requirements.txt requirements.txt
 
 RUN python3 -m pip install --upgrade pip
-RUN python3 -m pip install -r requirements.txt
+RUN python3 -m pip install uv
 
 ADD ./speech_to_text.py speech_to_text.py
-RUN python3 -m py_compile speech_to_text.py
+RUN uv run python3 -m py_compile speech_to_text.py
 
-ENTRYPOINT ["python3", "speech_to_text.py"]
+ENTRYPOINT ["uv", "run", "speech_to_text.py"]

env-example

@@ -1,10 +1,9 @@
 AWS_ACCESS_KEY_ID=CHANGE_ME
 AWS_SECRET_ACCESS_KEY=CHANGE_ME
 AWS_DEFAULT_REGION=us-west-2
-AWS_ROLE_ARN=CHANGE_ME
-SPEECH_TO_TEXT_S3_BUCKET=CHANGE_ME
-SPEECH_TO_TEXT_BATCH_JOB_QUEUE=CHANGE_ME
-SPEECH_TO_TEXT_BATCH_JOB_DEFINITION=CHANGE_ME
-SPEECH_TO_TEXT_DONE_SQS_QUEUE=CHANGE_ME
+SPEECH_TO_TEXT_S3_BUCKET=my-speech-to-text-development
+SPEECH_TO_TEXT_BATCH_JOB_QUEUE=my-speech-to-text-development
+SPEECH_TO_TEXT_BATCH_JOB_DEFINITION=my-speech-to-text-development
+SPEECH_TO_TEXT_DONE_SQS_QUEUE=speech-to-text-development
 HONEYBADGER_API_KEY=CHANGE_ME
 HONEYBADGER_ENV=CHANGE_ME

pyproject.toml

@@ -0,0 +1,22 @@
+[project]
+name = "speech-to-text"
+version = "0.0.1"
+description = ""
+readme = "README.md"
+requires-python = ">= 3.8"
+dependencies = [
+    "boto3>=1.36.9",
+    "boto3-stubs[s3,sqs,sts]>=1.36.9",
+    "honeybadger>=0.20.3",
+    "moto[s3,sqs,sts]>=5.0.27",
+    "openai-whisper>=20240930",
+    "python-dotenv[cli]>=1.0.1",
+]
+
+[dependency-groups]
+dev = [
+    "mypy>=1.14.1",
+    "pytest>=8.3.4",
+    "pytest-cov>=5.0.0",
+    "ruff>=0.9.4",
+]