DataDog · astuyve · Dec 12, 2023 · Nov 21, 2023 · Nov 21, 2023 · Dec 12, 2023
@@ -41,7 +41,7 @@ jobs:
     strategy:
       max-parallel: 4
       matrix:
-        python-version: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
 
     steps:
       - name: Checkout
@@ -68,7 +68,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        runtime-param: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
+        runtime-param: ['3.8', '3.9', '3.10', '3.11', '3.12']
     steps:
       - name: Checkout
         uses: actions/checkout@v3

@@ -12,7 +12,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v4
         with:
-          python-version: 3.7
+          python-version: 3.12
 
       - name: Install Crossbuild Deps
         run: |

@@ -24,7 +24,7 @@ We love pull requests. For new features, consider opening an issue to discuss th
      ./scripts/build_layers.sh
 
      # Publish the a testing layer to your own AWS account, and the ARN will be returned
-     # Example: VERSION=1 REGIONS=us-east-1 LAYERS=Datadog-Python37 ./scripts/publish_layers.sh
+     # Example: VERSION=1 REGIONS=us-east-1 LAYERS=Datadog-Python312 ./scripts/publish_layers.sh
      VERSION=<VERSION> REGIONS=<REGION> LAYERS=<LAYER> ./scripts/publish_layers.sh
      ```
 

@@ -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, 3.9, 3.10, 3.11, and 3.12) 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 (3.8, 3.9, 3.10, 3.11, and 3.12) 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
 
@@ -47,6 +47,9 @@ The Continuous Profiler works by spawning a thread which periodically wakes up a
 
 ## Major Version Notes
 
+### 5.x / Layer version 86+
+- Python3.7 support has been [deprecated](https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html) by AWS, and support removed from this library.
+
 ### 4.x / Layer version 61+
 
 - Python3.6 support has been [deprecated](https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html) by AWS, and support removed from this library.

@@ -144,14 +144,13 @@ def initialize_cold_start_tracing():
         and os.environ.get("DD_TRACE_ENABLED", "true").lower() == "true"
         and os.environ.get("DD_COLD_START_TRACING", "true").lower() == "true"
     ):
-        from sys import version_info, meta_path
+        from sys import meta_path
 
-        if version_info >= (3, 7):  # current implementation only support version > 3.7
-            for importer in meta_path:
-                try:
-                    importer.find_spec = wrap_find_spec(importer.find_spec)
-                except Exception:
-                    pass
+        for importer in meta_path:
+            try:
+                importer.find_spec = wrap_find_spec(importer.find_spec)
+            except Exception:
+                pass
 
 
 class ColdStartTracer(object):

@@ -16,7 +16,6 @@ packages = [
     { include = "datadog_lambda" }
 ]
 classifiers = [
-    "Programming Language :: Python :: 3.7",
     "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
@@ -25,7 +24,7 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.7.0,<4"
+python = ">=3.8.0,<4"
 datadog = ">=0.41.0,<1.0.0"
 wrapt = "^1.11.2"
 ddtrace = ">=2.3.1"

@@ -13,7 +13,6 @@ set -e
 OLD_REGION='us-east-1'
 
 LAYER_NAMES=(
-    "Datadog-Python37"
     "Datadog-Python38"
     "Datadog-Python38-ARM"
     "Datadog-Python39"
@@ -26,7 +25,6 @@ LAYER_NAMES=(
     "Datadog-Python312-ARM"
 )
 PYTHON_VERSIONS_FOR_AWS_CLI=(
-    "python3.7"
     "python3.8"
     "python3.8"
     "python3.9"

@@ -7,14 +7,14 @@
 
 # Builds datadog-lambda-python layers for Lambda functions
 
-# Usage: PYTHON_VERSION=3.7 ./build_layers.sh
+# Usage: PYTHON_VERSION=3.11 ./build_layers.sh
 # If PYTHON_VERSION is not specified, all versions will be built.
 
 set -e
 
 LAYER_DIR=".layers"
 LAYER_FILES_PREFIX="datadog_lambda_py"
-AVAILABLE_PYTHON_VERSIONS=("3.7" "3.8" "3.9" "3.10" "3.11" "3.12")
+AVAILABLE_PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12")
 
 # Determine which Python versions to build layers for
 if [ -z "$PYTHON_VERSION" ]; then
@@ -68,10 +68,8 @@ mkdir $LAYER_DIR
 
 for python_version in "${PYTHON_VERSIONS[@]}"
 do
-    if [ "$python_version" != "3.7" ]; then
-        echo "Building layer for Python ${python_version} arch=arm64"
-        docker_build_zip ${python_version} $LAYER_DIR/${LAYER_FILES_PREFIX}-arm64-${python_version}.zip arm64
-    fi
+    echo "Building layer for Python ${python_version} arch=arm64"
+    docker_build_zip ${python_version} $LAYER_DIR/${LAYER_FILES_PREFIX}-arm64-${python_version}.zip arm64
     echo "Building layer for Python ${python_version} arch=amd64"
     docker_build_zip ${python_version} $LAYER_DIR/${LAYER_FILES_PREFIX}-amd64-${python_version}.zip amd64
 done

@@ -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" "3.10" "3.11" "3.12")
+VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12")
 
 for version in "${VERSIONS[@]}"
 do

@@ -11,7 +11,6 @@
 set -e
 
 LAYER_NAMES=(
-    "Datadog-Python37"
     "Datadog-Python38"
     "Datadog-Python38-ARM"
     "Datadog-Python39"

@@ -14,7 +14,6 @@ set -e
 trap "pkill -P $$; exit 1;" INT
 
 PYTHON_VERSIONS_FOR_AWS_CLI=(
-    "python3.7"
     "python3.8"
     "python3.8"
     "python3.9"
@@ -27,7 +26,6 @@ PYTHON_VERSIONS_FOR_AWS_CLI=(
     "python3.12"
 )
 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"
@@ -40,7 +38,6 @@ LAYER_PATHS=(
     ".layers/datadog_lambda_py-arm64-3.12.zip"
 )
 AVAILABLE_LAYERS=(
-    "Datadog-Python37"
     "Datadog-Python38"
     "Datadog-Python38-ARM"
     "Datadog-Python39"

@@ -27,14 +27,13 @@ mismatch_found=false
 # [0]: serverless runtime name
 # [1]: python version
 # [2]: random 8-character ID to avoid collisions with other runs
-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))
 python311=("python3.11" "3.11" $(xxd -l 4 -c 4 -p < /dev/random))
 python312=("python3.12" "3.12" $(xxd -l 4 -c 4 -p < /dev/random))
 
-PARAMETERS_SETS=("python37" "python38" "python39" "python310" "python311" "python312")
+PARAMETERS_SETS=("python38" "python39" "python310" "python311" "python312")
 
 if [ -z "$RUNTIME_PARAM" ]; then
     echo "Python version not specified, running for all python versions."

@@ -8,7 +8,7 @@
 # Run unit tests in Docker
 set -e
 
-PYTHON_VERSIONS=("3.7" "3.8" "3.9" "3.10" "3.11" "3.12")
+PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11" "3.12")
 
 for python_version in "${PYTHON_VERSIONS[@]}"
 do

@@ -9,7 +9,6 @@ set -e
 
 LAYER_DIR=".layers"
 LAYER_FILES=(
-    "datadog_lambda_py-amd64-3.7.zip"
     "datadog_lambda_py-amd64-3.8.zip"
     "datadog_lambda_py-arm64-3.8.zip"
     "datadog_lambda_py-amd64-3.9.zip"