chore: remove deprecated code before GA (#78)

* chore: remove Logger deprecated code

* chore: remove Metrics deprecated code

* chore: remove models from deprecated code

* chore: move logger formatter to its own file

Author: heitorlessa

Diff for: aws_lambda_powertools/helper/__init__.py

@@ -1,6 +1,5 @@
 """Logging utility
 """
-from ..helper.models import MetricUnit
-from .logger import Logger, log_metric, logger_inject_lambda_context, logger_setup
+from .logger import Logger
 
-__all__ = ["logger_setup", "logger_inject_lambda_context", "log_metric", "MetricUnit", "Logger"]
+__all__ = ["Logger"]

Diff for: aws_lambda_powertools/helper/models.py

@@ -0,0 +1,99 @@
+import json
+import logging
+from typing import Any
+
+
+def json_formatter(unserialized_value: Any):
+    """JSON custom serializer to cast unserialisable values to strings.
+
+    Example
+    -------
+
+    **Serialize unserialisable value to string**
+
+        class X: pass
+        value = {"x": X()}
+
+        json.dumps(value, default=json_formatter)
+
+    Parameters
+    ----------
+    unserialized_value: Any
+        Python object unserializable by JSON
+    """
+    return str(unserialized_value)
+
+
+class JsonFormatter(logging.Formatter):
+    """AWS Lambda Logging formatter.
+
+    Formats the log message as a JSON encoded string.  If the message is a
+    dict it will be used directly.  If the message can be parsed as JSON, then
+    the parse d value is used in the output record.
+
+    Originally taken from https://gitlab.com/hadrien/aws_lambda_logging/
+
+    """
+
+    def __init__(self, **kwargs):
+        """Return a JsonFormatter instance.
+
+        The `json_default` kwarg is used to specify a formatter for otherwise
+        unserialisable values.  It must not throw.  Defaults to a function that
+        coerces the value to a string.
+
+        Other kwargs are used to specify log field format strings.
+        """
+        datefmt = kwargs.pop("datefmt", None)
+
+        super(JsonFormatter, self).__init__(datefmt=datefmt)
+        self.reserved_keys = ["timestamp", "level", "location"]
+        self.format_dict = {
+            "timestamp": "%(asctime)s",
+            "level": "%(levelname)s",
+            "location": "%(funcName)s:%(lineno)d",
+        }
+        self.format_dict.update(kwargs)
+        self.default_json_formatter = kwargs.pop("json_default", json_formatter)
+
+    def format(self, record):  # noqa: A003
+        record_dict = record.__dict__.copy()
+        record_dict["asctime"] = self.formatTime(record, self.datefmt)
+
+        log_dict = {}
+        for key, value in self.format_dict.items():
+            if value and key in self.reserved_keys:
+                # converts default logging expr to its record value
+                # e.g. '%(asctime)s' to '2020-04-24 09:35:40,698'
+                log_dict[key] = value % record_dict
+            else:
+                log_dict[key] = value
+
+        if isinstance(record_dict["msg"], dict):
+            log_dict["message"] = record_dict["msg"]
+        else:
+            log_dict["message"] = record.getMessage()
+
+            # Attempt to decode the message as JSON, if so, merge it with the
+            # overall message for clarity.
+            try:
+                log_dict["message"] = json.loads(log_dict["message"])
+            except (json.decoder.JSONDecodeError, TypeError, ValueError):
+                pass
+
+        if record.exc_info:
+            # Cache the traceback text to avoid converting it multiple times
+            # (it's constant anyway)
+            # from logging.Formatter:format
+            if not record.exc_text:
+                record.exc_text = self.formatException(record.exc_info)
+
+        if record.exc_text:
+            log_dict["exception"] = record.exc_text
+
+        json_record = json.dumps(log_dict, default=self.default_json_formatter)
+
+        if hasattr(json_record, "decode"):  # pragma: no cover
+            json_record = json_record.decode("utf-8")
+
+        return json_record

Diff for: aws_lambda_powertools/logging/__init__.py

@@ -0,0 +1,55 @@
+class LambdaContextModel:
+    """A handful of Lambda Runtime Context fields
+
+    Full Lambda Context object: https://docs.aws.amazon.com/lambda/latest/dg/python-context-object.html
+
+    Parameters
+    ----------
+    function_name: str
+        Lambda function name, by default "UNDEFINED"
+        e.g. "test"
+    function_memory_size: int
+        Lambda function memory in MB, by default 128
+    function_arn: str
+        Lambda function ARN, by default "UNDEFINED"
+        e.g. "arn:aws:lambda:eu-west-1:809313241:function:test"
+    function_request_id: str
+        Lambda function unique request id, by default "UNDEFINED"
+        e.g. "52fdfc07-2182-154f-163f-5f0f9a621d72"
+    """
+
+    def __init__(
+        self,
+        function_name: str = "UNDEFINED",
+        function_memory_size: int = 128,
+        function_arn: str = "UNDEFINED",
+        function_request_id: str = "UNDEFINED",
+    ):
+        self.function_name = function_name
+        self.function_memory_size = function_memory_size
+        self.function_arn = function_arn
+        self.function_request_id = function_request_id
+
+
+def build_lambda_context_model(context: object) -> LambdaContextModel:
+    """Captures Lambda function runtime info to be used across all log statements
+
+    Parameters
+    ----------
+    context : object
+        Lambda context object
+
+    Returns
+    -------
+    LambdaContextModel
+        Lambda context only with select fields
+    """
+
+    context = {
+        "function_name": context.function_name,
+        "function_memory_size": context.memory_limit_in_mb,
+        "function_arn": context.invoked_function_arn,
+        "function_request_id": context.aws_request_id,
+    }
+
+    return LambdaContextModel(**context)