feat(pyproject.toml): move to poetry

Author: heitorlessa

python/.bumpversion.cfg

@@ -0,0 +1,10 @@
+[bumpversion]
+current_version = 0.5.0
+commit = False
+tag = True
+
+[bumpversion:file:pyproject.toml]
+
+[bumpversion:file:aws_lambda_powertools/__init__.py]
+search = __version__ = '{current_version}'
+replace = __version__ = '{new_version}'

python/.coveragerc

@@ -0,0 +1,12 @@
+[flake8]
+exclude = docs, .eggs, setup.py
+ignore = E203, E266, W503, BLK100, W291
+max-line-length = 120
+max-complexity = 18
+
+[isort]
+multi_line_output = 3
+include_trailing_comma = true
+force_grid_wrap = 0
+use_parentheses = true
+line_length = 120

python/.flake8

@@ -0,0 +1,4 @@
+{
+    "python.pythonPath": "/Users/lessa/.pyenv/aws-lambda-powertools-_w3KY4aG-py3.7/bin/python",
+    "python.formatting.provider": "black"
+}

python/.vscode/settings.json

@@ -3,32 +3,31 @@ target:
 	@$(MAKE) pr
 
 dev:
-	pip install --upgrade pipenv
-	pipenv install
-	pipenv install -d
+	pip install --upgrade poetry
+	poetry install
 
 format:
-	pipenv run isort -rc .
-	pipenv run black aws_lambda_powertools
-	pipenv run black tests
+	poetry run isort -rc .
+	poetry run black aws_lambda_powertools
+	poetry run black tests
 
 lint: format
-	pipenv run flake8
+	poetry run flake8
 
 test:
-	pipenv run pytest
+	poetry run pytest
 
 test-html:
-	pipenv run pytest --cov-report html
+	poetry run pytest --cov-report html
 
 pr: lint test 
 
 release: pr
 	python setup.py sdist bdist_wheel
-	pipenv run twine upload dist/* --verbose
+	poetry run twine upload dist/* --verbose
 	rm -rf dist build	
 
 release-test: pr
 	python setup.py sdist bdist_wheel
-	pipenv run twine upload --repository testpypi dist/* --verbose
+	poetry run twine upload --repository testpypi dist/* --verbose
 	rm -rf dist build	

python/Makefile

@@ -127,8 +127,6 @@ def build_metric_unit_from_str(unit: Union[str, MetricUnit]) -> MetricUnit:
         metric_unit = MetricUnit[unit]
     except (TypeError, KeyError):
         metric_units = [units for units, _ in MetricUnit.__members__.items()]
-        raise ValueError(
-            f"Invalid Metric Unit - Received {unit}. Value Metric Units are {metric_units}"
-        )
+        raise ValueError(f"Invalid Metric Unit - Received {unit}. Value Metric Units are {metric_units}")
 
     return metric_unit

python/aws_lambda_powertools/helper/models.py

@@ -15,9 +15,7 @@
 is_cold_start = True
 
 
-def logger_setup(
-    service: str = "service_undefined", level: str = "INFO", sampling_rate: float = 0.0, **kwargs
-):
+def logger_setup(service: str = "service_undefined", level: str = "INFO", sampling_rate: float = 0.0, **kwargs):
     """Setups root logger to format statements in JSON.
 
     Includes service name and any additional key=value into logs
@@ -70,24 +68,20 @@ def logger_setup(
     try:
         if sampling_rate and random.random() <= float(sampling_rate):
             log_level = logging.DEBUG
-    except ValueError:
+    except ValueError:  
         raise ValueError(
-            f"Expected a float value ranging 0 to 1, but received {sampling_rate} instead. Please review POWERTOOLS_LOGGER_SAMPLE_RATE environment variable."
+            "fExpected a float value ranging 0 to 1, but received {sampling_rate} instead. Please review POWERTOOLS_LOGGER_SAMPLE_RATE environment variable."
         )
 
     logger.setLevel(log_level)
 
     # Patch logger by structuring its outputs as JSON
-    aws_lambda_logging.setup(
-        level=log_level, service=service, sampling_rate=sampling_rate, **kwargs
-    )
+    aws_lambda_logging.setup(level=log_level, service=service, sampling_rate=sampling_rate, **kwargs)
 
     return logger
 
 
-def logger_inject_lambda_context(
-    lambda_handler: Callable[[Dict, Any], Any] = None, log_event: bool = False
-):
+def logger_inject_lambda_context(lambda_handler: Callable[[Dict, Any], Any] = None, log_event: bool = False):
     """Decorator to capture Lambda contextual info and inject into struct logging
 
     Parameters
@@ -179,12 +173,7 @@ def __is_cold_start() -> str:
 
 
 def log_metric(
-    name: str,
-    namespace: str,
-    unit: MetricUnit,
-    value: float = 0,
-    service: str = "service_undefined",
-    **dimensions,
+    name: str, namespace: str, unit: MetricUnit, value: float = 0, service: str = "service_undefined", **dimensions,
 ):
     """Logs a custom metric in a statsD-esque format to stdout.
 
@@ -248,9 +237,7 @@ def log_metric(
         keyword arguments as additional dimensions (e.g. customer=customerId)
     """
 
-    logger.debug(
-        f"Building new custom metric. Name: {name}, Unit: {unit}, Value: {value}, Dimensions: {dimensions}"
-    )
+    logger.debug(f"Building new custom metric. Name: {name}, Unit: {unit}, Value: {value}, Dimensions: {dimensions}")
     service = os.getenv("POWERTOOLS_SERVICE_NAME") or service
     dimensions = __build_dimensions(**dimensions)
     unit = build_metric_unit_from_str(unit)
@@ -283,9 +270,7 @@ def __build_dimensions(**dimensions) -> str:
     # so we take up to 9 values as additional dimensions
     # before we convert everything to a string of key=value
     dimensions_partition = dict(itertools.islice(dimensions.items(), MAX_DIMENSIONS))
-    dimensions_list = [
-        dimension + "=" + value for dimension, value in dimensions_partition.items() if value
-    ]
+    dimensions_list = [dimension + "=" + value for dimension, value in dimensions_partition.items() if value]
     dimension = ",".join(dimensions_list)
 
     return dimension

python/aws_lambda_powertools/logging/logger.py

@@ -96,10 +96,7 @@ class Tracer:
     """
 
     def __init__(
-        self,
-        service: str = "service_undefined",
-        disabled: bool = False,
-        provider: xray_recorder = xray_recorder,
+        self, service: str = "service_undefined", disabled: bool = False, provider: xray_recorder = xray_recorder,
     ):
         self.provider = provider
         self.disabled = self.__is_trace_disabled() or disabled