DataDog · joeyzhao2018 · Apr 17, 2023 · Apr 17, 2023 · Apr 17, 2023
@@ -41,7 +41,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: [3.7, 3.8, 3.9]
+        python-version: ['3.7', '3.8', '3.9', '3.10']
 
     steps:
       - name: Checkout
@@ -68,7 +68,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        runtime-param: [3.7, 3.8, 3.9]
+        runtime-param: ['3.7', '3.8', '3.9', '3.10']
     steps:
       - name: Checkout
         uses: actions/checkout@v3

@@ -0,0 +1,15 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Module",
+            "type": "python",
+            "request": "launch",
+            "module": "unittest",
+            "justMyCode": true
+        }
+    ]
+}
@@ -1,4 +1,7 @@
 {
   "python.pythonPath": "/usr/local/bin/python3",
-  "python.formatting.provider": "black"
+  "python.formatting.provider": "black",
+  "python.testing.unittestArgs": ["-v", "-s", "./tests", "-p", "test*.py"],
+  "python.testing.pytestEnabled": false,
+  "python.testing.unittestEnabled": true
 }
@@ -6,7 +6,7 @@
 [![Slack](https://chat.datadoghq.com/badge.svg?bg=632CA6)](https://chat.datadoghq.com/)
 [![License](https://img.shields.io/badge/license-Apache--2.0-blue)](https://github.com/DataDog/datadog-lambda-python/blob/main/LICENSE)
 
-Datadog Lambda Library for Python (3.7, 3.8, and 3.9) enables [enhanced Lambda metrics](https://docs.datadoghq.com/serverless/enhanced_lambda_metrics), [distributed tracing](https://docs.datadoghq.com/serverless/distributed_tracing), and [custom metric submission](https://docs.datadoghq.com/serverless/custom_metrics) from AWS Lambda functions.
+Datadog Lambda Library for Python (3.7, 3.8, 3.9, and 3.10) enables [enhanced Lambda metrics](https://docs.datadoghq.com/serverless/enhanced_lambda_metrics), [distributed tracing](https://docs.datadoghq.com/serverless/distributed_tracing), and [custom metric submission](https://docs.datadoghq.com/serverless/custom_metrics) from AWS Lambda functions.
 
 ## Installation
 

@@ -19,6 +19,7 @@ classifiers = [
     "Programming Language :: Python :: 3.7",
     "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
 ]
 
 [tool.poetry.dependencies]

@@ -8,12 +8,12 @@
 # Copy layers from us-east-1 to new region
 # args: [new-region]
 
-set -e 
+set -e
 
 OLD_REGION='us-east-1'
 
-PYTHON_VERSIONS_FOR_AWS_CLI=("python3.7" "python3.8" "python3.9")
-LAYER_NAMES=("Datadog-Python37" "Datadog-Python38" "Datadog-Python39")
+LAYER_NAMES=("Datadog-Python37" "Datadog-Python38" "Datadog-Python38-ARM" "Datadog-Python39" "Datadog-Python39-ARM" "Datadog-Python310" "Datadog-Python310-ARM")
+PYTHON_VERSIONS_FOR_AWS_CLI=("python3.7" "python3.8" "python3.8" "python3.9" "python3.9" "python3.10" "python3.10")
 NEW_REGION=$1
 
 publish_layer() {
@@ -68,11 +68,11 @@ for layer_name in "${LAYER_NAMES[@]}"; do
     fi
 
     # run for each version of layer
-    for i in $(seq 1 $last_layer_version); do 
+    for i in $(seq 1 $last_layer_version); do
         layer_path=$layer_name"_"$i.zip
         aws_version_key="${PYTHON_VERSIONS_FOR_AWS_CLI[$j]}"
 
-        # download layer versions 
+        # download layer versions
         URL=$(AWS_REGION=$OLD_REGION aws lambda get-layer-version --layer-name $layer_name --version-number $i --query Content.Location --output text)
         curl $URL -o $layer_path
 
@@ -82,4 +82,4 @@ for layer_name in "${LAYER_NAMES[@]}"; do
     done
 
     j=$(expr $j + 1)
-done
+done
@@ -14,7 +14,7 @@ set -e
 
 LAYER_DIR=".layers"
 LAYER_FILES_PREFIX="datadog_lambda_py"
-AVAILABLE_PYTHON_VERSIONS=("3.7" "3.8" "3.9")
+AVAILABLE_PYTHON_VERSIONS=("3.7" "3.8" "3.9" "3.10")
 
 # Determine which Python versions to build layers for
 if [ -z "$PYTHON_VERSION" ]; then

@@ -14,7 +14,7 @@ MAX_LAYER_UNCOMPRESSED_SIZE_KB=$(expr 24 \* 1024)
 
 LAYER_FILES_PREFIX="datadog_lambda_py"
 LAYER_DIR=".layers"
-VERSIONS=("3.7" "3.8" "3.9")
+VERSIONS=("3.7" "3.8" "3.9" "3.10")
 
 for version in "${VERSIONS[@]}"
 do

@@ -10,7 +10,7 @@
 
 set -e
 
-LAYER_NAMES=("Datadog-Python37" "Datadog-Python38" "Datadog-Python38-ARM" "Datadog-Python39" "Datadog-Python39-ARM")
+LAYER_NAMES=("Datadog-Python37" "Datadog-Python38" "Datadog-Python38-ARM" "Datadog-Python39" "Datadog-Python39-ARM" "Datadog-Python310" "Datadog-Python310-ARM")
 AVAILABLE_REGIONS=$(aws ec2 describe-regions | jq -r '.[] | .[] | .RegionName')
 LAYERS_MISSING_REGIONS=()
 
@@ -63,6 +63,6 @@ done
 
 if [ ${#LAYERS_MISSING_REGIONS[@]} -gt 0 ]; then
     echo "WARNING: Following regions missing layers: ${LAYERS_MISSING_REGIONS[@]}"
-    echo "Please run ./add_new_region.sh <new_region> to add layers to the missing regions" 
+    echo "Please run ./add_new_region.sh <new_region> to add layers to the missing regions"
     exit 1
-fi
+fi
@@ -13,10 +13,10 @@ set -e
 # Makes sure any subprocesses will be terminated with this process
 trap "pkill -P $$; exit 1;" INT
 
-PYTHON_VERSIONS_FOR_AWS_CLI=("python3.7" "python3.8" "python3.8" "python3.9" "python3.9")
-LAYER_PATHS=(".layers/datadog_lambda_py-amd64-3.7.zip" ".layers/datadog_lambda_py-amd64-3.8.zip" ".layers/datadog_lambda_py-arm64-3.8.zip" ".layers/datadog_lambda_py-amd64-3.9.zip" ".layers/datadog_lambda_py-arm64-3.9.zip")
-AVAILABLE_LAYERS=("Datadog-Python37" "Datadog-Python38" "Datadog-Python38-ARM" "Datadog-Python39" "Datadog-Python39-ARM")
-ARCHS=("amd64" "amd64" "amd64""amd64" "amd64" "arm64")
+PYTHON_VERSIONS_FOR_AWS_CLI=("python3.7" "python3.8" "python3.8" "python3.9" "python3.9" "python3.10" "python3.10")
+LAYER_PATHS=(".layers/datadog_lambda_py-amd64-3.7.zip" ".layers/datadog_lambda_py-amd64-3.8.zip" ".layers/datadog_lambda_py-arm64-3.8.zip" ".layers/datadog_lambda_py-amd64-3.9.zip" ".layers/datadog_lambda_py-arm64-3.9.zip" ".layers/datadog_lambda_py-amd64-3.10.zip" ".layers/datadog_lambda_py-arm64-3.10.zip")
+AVAILABLE_LAYERS=("Datadog-Python37" "Datadog-Python38" "Datadog-Python38-ARM" "Datadog-Python39" "Datadog-Python39-ARM" "Datadog-Python310" "Datadog-Python310-ARM")
+ARCHS=("amd64" "amd64" "amd64""amd64" "amd64" "arm64" "amd64" "arm64")
 AVAILABLE_REGIONS=$(aws ec2 describe-regions | jq -r '.[] | .[] | .RegionName')
 
 # Check that the layer files exist
@@ -129,7 +129,7 @@ do
 
             # This shouldn't happen unless someone manually deleted the latest version, say 28
             # and then try to republish it again. The published version is actually be 29, because
-            # Lambda layers are immutable and AWS will skip deleted version and use the next number. 
+            # Lambda layers are immutable and AWS will skip deleted version and use the next number.
             if [ $latest_version -gt $VERSION ]; then
                 echo "ERROR: Published version $latest_version is greater than the desired version $VERSION!"
                 echo "Exiting"

@@ -11,7 +11,7 @@ set -e
 # These values need to be in sync with serverless.yml, where there needs to be a function
 # defined for every handler_runtime combination
 LAMBDA_HANDLERS=("async-metrics" "sync-metrics")
-RUNTIMES=("python37" "python38" "python39")
+RUNTIMES=("python37" "python38" "python39" "python310")
 
 LOGS_WAIT_SECONDS=20
 
@@ -31,8 +31,9 @@ mismatch_found=false
 python37=("python3.7" "3.7" $(xxd -l 4 -c 4 -p < /dev/random))
 python38=("python3.8" "3.8" $(xxd -l 4 -c 4 -p < /dev/random))
 python39=("python3.9" "3.9" $(xxd -l 4 -c 4 -p < /dev/random))
+python310=("python3.10" "3.10" $(xxd -l 4 -c 4 -p < /dev/random))
 
-PARAMETERS_SETS=("python37" "python38" "python39")
+PARAMETERS_SETS=("python37" "python38" "python39" "python310")
 
 if [ -z "$RUNTIME_PARAM" ]; then
     echo "Python version not specified, running for all python versions."
@@ -111,7 +112,7 @@ python version : ${!python_version} and run id : ${!run_id}"
         for input_event_file in "${input_event_files[@]}"; do
             # Get event name without trailing ".json" so we can build the snapshot file name
             input_event_name=$(echo "$input_event_file" | sed "s/.json//")
-            snapshot_path="./snapshots/return_values/${handler_name}_${parameters_set}_${input_event_name}.json"
+            snapshot_path="./snapshots/return_values/${handler_name}_${input_event_name}.json"
 
             return_value=$(PYTHON_VERSION=${!python_version} RUNTIME=$parameters_set SERVERLESS_RUNTIME=${!serverless_runtime} \
             serverless invoke --stage ${!run_id} -f "$function_name" --path "./input_events/$input_event_file")

@@ -8,7 +8,7 @@
 # Run unit tests in Docker
 set -e
 
-PYTHON_VERSIONS=("3.7" "3.8" "3.9")
+PYTHON_VERSIONS=("3.7" "3.8" "3.9" "3.10")
 
 for python_version in "${PYTHON_VERSIONS[@]}"
 do
@@ -18,7 +18,7 @@ do
         --build-arg python_version=$python_version
     docker run -w /test \
         datadog-lambda-python-test:$python_version \
-        nose2 -v 
+        nose2 -v
     docker run -w /test \
         datadog-lambda-python-test:$python_version \
         flake8 datadog_lambda/

@@ -14,6 +14,8 @@ LAYER_FILES=(
     "datadog_lambda_py-arm64-3.8.zip"
     "datadog_lambda_py-amd64-3.9.zip"
     "datadog_lambda_py-arm64-3.9.zip"
+    "datadog_lambda_py-amd64-3.10.zip"
+    "datadog_lambda_py-arm64-3.10.zip"
 )
 SIGNING_PROFILE_NAME="DatadogLambdaSigningProfile"
 
@@ -38,7 +40,7 @@ fi
 
 for LAYER_FILE in "${LAYER_FILES[@]}"
 do
-    echo 
+    echo
     echo "${LAYER_FILE}"
     echo "-------------------------"
 
@@ -68,7 +70,7 @@ do
     do
         sleep 3
         SECONDS_WAITED_SO_FAR=$((SECONDS_WAITED_SO_FAR + 3))
-        
+
         SIGNING_JOB_DESCRIPTION=$(aws signer describe-signing-job \
             --job-id $SIGNING_JOB_ID \
             --region $REGION\