Change poetry to pipenv

.github/workflows/publish_lambda_packages.yml

@@ -16,9 +16,15 @@ jobs:
       - name: Install rustup
         run: curl https://sh.rustup.rs -sSf | sh -s -- --default-toolchain none -y
       - name: Install python dependencies
-        run: pip install ./distribution/lambda  
-      - name: Mypy lint
-        run: mypy distribution/lambda/
+        run: |
+            pip install --user pipenv
+            pipenv install --system
+        working-directory: ./distribution/lambda
+      - name: Lint and format
+        run: |
+            mypy .
+            black . --check
+        working-directory: ./distribution/lambda
       - name: Retrieve and export commit date, hash, and tags
         run: |
             echo "QW_COMMIT_DATE=$(TZ=UTC0 git log -1 --format=%cd --date=format-local:%Y-%m-%dT%H:%M:%SZ)" >> $GITHUB_ENV

distribution/lambda/Makefile

@@ -27,6 +27,7 @@ package:
 	if [ "$${QW_LAMBDA_BUILD:-0}" = "1" ]
 	then
 	  pushd ../../quickwit/
+	  rustc --version
 	  cargo lambda build \
 	    -p quickwit-lambda \
 	    --release \

distribution/lambda/Pipfile

@@ -0,0 +1,23 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+aws-cdk-lib = "2.95.1"
+cargo-lambda = "1.1.0"
+constructs = "10.3.0"
+pyyaml = "6.0.1"
+black = "24.3.0"
+boto3 = "1.28.59"
+mypy = "1.7.0"
+ziglang = "0.11.0"
+
+# boto3-stubs = "^1.28.39"
+# types-requests = "^2.31.0.2"
+# types-pyyaml = "^6.0.12.11"
+
+[dev-packages]
+
+[requires]
+python_version = ">=3.10,<4.0"

distribution/lambda/README.md

@@ -31,36 +31,13 @@ console](https://console.aws.amazon.com/servicequotas/home/services/lambda/quota
 
 ### Python venv
 
-This project is set up like a standard Python project. The initialization
-process also creates a virtualenv within this project, stored under the `.venv`
-directory.  To create the virtualenv it assumes that there is a `python3`
-executable in your path with access to the `venv` package. If for any reason the
-automatic creation of the virtualenv fails, you can create the virtualenv
-manually.
+The Python environment is configured using pipenv:
 
-To manually create a virtualenv on MacOS and Linux:
-
-```bash
-python3 -m venv .venv
-```
-
-After the init process completes and the virtualenv is created, you can use the following
-step to activate your virtualenv.
-
-```bash
-source .venv/bin/activate
 ```
-
-Once the virtualenv is activated, you can install the required dependencies.
-
-```bash
-pip install .
-```
-
-If you prefer using Poetry, achieve the same by running:
-```bash
-poetry shell
-poetry install
+# Install pipenv if needed.
+pip install --user pipenv
+pipenv shell
+pipenv install
 ```
 
 ### Example stacks