Remove python 3.6 support

.github/workflows/build.yml

@@ -41,7 +41,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: [3.6, 3.7, 3.8, 3.9]
+        python-version: [3.7, 3.8, 3.9]
 
     steps:
       - name: Checkout
@@ -68,7 +68,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        runtime-param: [3.6, 3.7, 3.8, 3.9]
+        runtime-param: [3.7, 3.8, 3.9]
     steps:
       - name: Checkout
         uses: actions/checkout@v2

README.md

@@ -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 (3.6, 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, 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.
 
 ## Installation
 

pyproject.toml

@@ -16,14 +16,13 @@ packages = [
     { include = "datadog_lambda" }
 ]
 classifiers = [
-    "Programming Language :: Python :: 3.6",
     "Programming Language :: Python :: 3.7",
     "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.6.0,<4"
+python = ">=3.7.0,<4"
 datadog = "^0.41"
 wrapt = "^1.11.2"
 ddtrace = "^0.61.1"

scripts/add_new_region.sh

@@ -12,8 +12,8 @@ set -e
 
 OLD_REGION='us-east-1'
 
-PYTHON_VERSIONS_FOR_AWS_CLI=("python3.6" "python3.7" "python3.8" "python3.9")
-LAYER_NAMES=("Datadog-Python36" "Datadog-Python37" "Datadog-Python38" "Datadog-Python39")
+PYTHON_VERSIONS_FOR_AWS_CLI=("python3.7" "python3.8" "python3.9")
+LAYER_NAMES=("Datadog-Python37" "Datadog-Python38" "Datadog-Python39")
 NEW_REGION=$1
 
 publish_layer() {

scripts/build_layers.sh

@@ -14,7 +14,7 @@ set -e
 
 LAYER_DIR=".layers"
 LAYER_FILES_PREFIX="datadog_lambda_py"
-AVAILABLE_PYTHON_VERSIONS=("3.6" "3.7" "3.8" "3.9")
+AVAILABLE_PYTHON_VERSIONS=("3.7" "3.8" "3.9")
 
 # Determine which Python versions to build layers for
 if [ -z "$PYTHON_VERSION" ]; then

scripts/check_layer_size.sh

@@ -14,7 +14,7 @@ MAX_LAYER_UNCOMPRESSED_SIZE_KB=$(expr 16 \* 1024)
 
 LAYER_FILES_PREFIX="datadog_lambda_py"
 LAYER_DIR=".layers"
-VERSIONS=("3.6" "3.7" "3.8" "3.9")
+VERSIONS=("3.7" "3.8" "3.9")
 
 for version in "${VERSIONS[@]}"
 do

scripts/list_layers.sh

@@ -10,7 +10,7 @@
 
 set -e
 
-LAYER_NAMES=("Datadog-Python36" "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")
 AVAILABLE_REGIONS=$(aws ec2 describe-regions | jq -r '.[] | .[] | .RegionName')
 LAYERS_MISSING_REGIONS=()
 

scripts/publish_layers.sh

@@ -13,9 +13,9 @@ set -e
 # Makes sure any subprocesses will be terminated with this process
 trap "pkill -P $$; exit 1;" INT
 
-PYTHON_VERSIONS_FOR_AWS_CLI=("python3.6" "python3.7" "python3.8" "python3.8" "python3.9" "python3.9")
-LAYER_PATHS=(".layers/datadog_lambda_py-amd64-3.6.zip" ".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-Python36" "Datadog-Python37" "Datadog-Python38" "Datadog-Python38-ARM" "Datadog-Python39" "Datadog-Python39-ARM")
+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")
 AVAILABLE_REGIONS=$(aws ec2 describe-regions | jq -r '.[] | .[] | .RegionName')
 

scripts/run_integration_tests.sh

@@ -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=("python36" "python37" "python38" "python39")
+RUNTIMES=("python37" "python38" "python39")
 
 LOGS_WAIT_SECONDS=20
 
@@ -28,12 +28,11 @@ mismatch_found=false
 # [0]: serverless runtime name
 # [1]: python version
 # [2]: random 8-character ID to avoid collisions with other runs
-python36=("python3.6" "3.6" $(xxd -l 4 -c 4 -p < /dev/random))
 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))
 
-PARAMETERS_SETS=("python36" "python37" "python38" "python39")
+PARAMETERS_SETS=("python37" "python38" "python39")
 
 if [ -z "$RUNTIME_PARAM" ]; then
     echo "Python version not specified, running for all python versions."

scripts/run_tests.sh

@@ -8,7 +8,7 @@
 # Run unit tests in Docker
 set -e
 
-PYTHON_VERSIONS=("3.6" "3.7" "3.8" "3.9")
+PYTHON_VERSIONS=("3.7" "3.8" "3.9")
 
 for python_version in "${PYTHON_VERSIONS[@]}"
 do

scripts/sign_layers.sh

@@ -9,7 +9,6 @@ set -e
 
 LAYER_DIR=".layers"
 LAYER_FILES=(
-    "datadog_lambda_py-amd64-3.6.zip"
     "datadog_lambda_py-amd64-3.7.zip"
     "datadog_lambda_py-amd64-3.8.zip"
     "datadog_lambda_py-arm64-3.8.zip"