Merge branch 'develop' into docs/1064-data-classes

Author: Michael Brewer

Diff for: CHANGELOG.md

@@ -4,6 +4,23 @@ All notable changes to this project will be documented in this file.
 
 This project follows [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) format for changes and adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## 1.26.1 - 2022-06-07
+### Bug Fixes
+
+* **metrics:** raise SchemaValidationError for >8 metric dimensions ([#1240](https://github.com/awslabs/aws-lambda-powertools-python/issues/1240))
+
+### Documentation
+
+* **governance:** link roadmap and maintainers doc
+* **maintainers:** initial maintainers playbook ([#1222](https://github.com/awslabs/aws-lambda-powertools-python/issues/1222))
+* **roadmap:** use pinned pause issue instead
+
+### Maintenance
+
+* **deps-dev:** bump mypy from 0.950 to 0.960 ([#1224](https://github.com/awslabs/aws-lambda-powertools-python/issues/1224))
+* **deps-dev:** bump mypy-boto3-secretsmanager from 1.23.0.post1 to 1.23.8 ([#1225](https://github.com/awslabs/aws-lambda-powertools-python/issues/1225))
+
+
 ## 1.26.0 - 2022-05-20
 
 ### Bug Fixes

Diff for: aws_lambda_powertools/metrics/base.py

@@ -178,7 +178,8 @@ def serialize_metric_set(
             metadata = self.metadata_set
 
         if self.service and not self.dimension_set.get("service"):
-            self.dimension_set["service"] = self.service
+            # self.service won't be a float
+            self.add_dimension(name="service", value=self.service)  # type: ignore[arg-type]
 
         if len(metrics) == 0:
             raise SchemaValidationError("Must contain at least one metric.")

Diff for: docs/core/metrics.md

@@ -30,10 +30,10 @@ If you're new to Amazon CloudWatch, there are two terminologies you must be awar
 
 Metric has two global settings that will be used across all metrics emitted:
 
-Setting | Description | Environment variable | Constructor parameter
-------------------------------------------------- | ------------------------------------------------- | ------------------------------------------------- | -------------------------------------------------
-**Metric namespace** | Logical container where all metrics will be placed e.g. `ServerlessAirline` |  `POWERTOOLS_METRICS_NAMESPACE` | `namespace`
-**Service** | Optionally, sets **service** metric dimension across all metrics e.g. `payment` | `POWERTOOLS_SERVICE_NAME` | `service`
+| Setting              | Description                                                                     | Environment variable           | Constructor parameter |
+| -------------------- | ------------------------------------------------------------------------------- | ------------------------------ | --------------------- |
+| **Metric namespace** | Logical container where all metrics will be placed e.g. `ServerlessAirline`     | `POWERTOOLS_METRICS_NAMESPACE` | `namespace`           |
+| **Service**          | Optionally, sets **service** metric dimension across all metrics e.g. `payment` | `POWERTOOLS_SERVICE_NAME`      | `service`             |
 
 ???+ tip
     Use your application or main service as the metric namespace to easily group all metrics.
@@ -191,7 +191,7 @@ This decorator also **validates**, **serializes**, and **flushes** all your metr
 ???+ tip "Tip: Metric validation"
     If metrics are provided, and any of the following criteria are not met, **`SchemaValidationError`** exception will be raised:
 
-    * Maximum of 9 dimensions
+    * Maximum of 8 user-defined dimensions
     * Namespace is set, and no more than one
     * Metric units must be [supported by CloudWatch](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html)
 

Diff for: pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "aws_lambda_powertools"
-version = "1.26.0"
+version = "1.26.1"
 description = "A suite of utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, batching, idempotency, feature flags, and more."
 authors = ["Amazon Web Services"]
 include = ["aws_lambda_powertools/py.typed", "THIRD-PARTY-LICENSES"]

Diff for: tests/functional/test_metrics.py

@@ -319,9 +319,11 @@ def test_schema_no_metrics(service, namespace):
         my_metrics.serialize_metric_set()
 
 
-def test_exceed_number_of_dimensions(metric, namespace):
+def test_exceed_number_of_dimensions(metric, namespace, monkeypatch):
     # GIVEN we we have more dimensions than CloudWatch supports
-    dimensions = [{"name": f"test_{i}", "value": "test"} for i in range(11)]
+    # and that service dimension is injected like a user-defined dimension (N+1)
+    monkeypatch.setenv("POWERTOOLS_SERVICE_NAME", "test_service")
+    dimensions = [{"name": f"test_{i}", "value": "test"} for i in range(9)]
 
     # WHEN we attempt to serialize them into a valid EMF object
     # THEN it should fail validation and raise SchemaValidationError