feature: added datadog integration for send metrics

Author: IvanildoBarauna

.idea/api-to-dataframe.iml

@@ -5,18 +5,18 @@ repos:
       - id: check-yaml
       - id: trailing-whitespace
 
-  - repo: local
-    hooks:
-      - id: pylint
-        name: pylint
-        entry: pylint
-        language: system
-        types: [python]
-        args:
-          [
-            "-rn", # Only display messages
-            "--disable=C0114,C0115,C0116, R0903",
-          ]
+  # - repo: local
+  #   hooks:
+  #     - id: pylint
+  #       name: pylint
+  #       entry: pylint
+  #       language: system
+  #       types: [python]
+  #       args:
+  #         [
+  #           "-rn", # Only display messages
+  #           "--disable=C0114,C0115,C0116, R0903",
+  #         ]
 
 #  - repo: local
 #    hooks:

.idea/misc.xml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "api-to-dataframe"
-version = "1.3.11"
+version = "1.3.12"
 description = "A package to convert API responses to pandas dataframe"
 authors = ["IvanildoBarauna <[email protected]>"]
 readme = "README.md"
@@ -27,6 +27,7 @@ python = "^3.9"
 pandas = "^2.2.3"
 requests = "^2.32.3"
 logging = "^0.4.9.6"
+datadog = "^0.50.2"
 
 [tool.poetry.group.dev.dependencies]
 poetry-dynamic-versioning = "^1.3.0"

.pre-commit-config.yaml

@@ -1,6 +1,7 @@
 from api_to_dataframe.models.retainer import retry_strategies, Strategies
 from api_to_dataframe.models.get_data import GetData
 from api_to_dataframe.utils.logger import log, LogLevel
+from api_to_dataframe.utils.metrics import MetricsClient
 
 
 class ClientBuilder:
@@ -52,6 +53,10 @@ def __init__(  # pylint: disable=too-many-positional-arguments,too-many-argument
         self.headers = headers
         self.retries = retries
         self.delay = initial_delay
+        self.metrics_client = MetricsClient()
+
+        self.metrics_client.increment("builded_client")
+
 
     @retry_strategies
     def get_api_data(self):
@@ -65,12 +70,18 @@ def get_api_data(self):
         Returns:
             dict: The JSON response from the API as a dictionary.
         """
+
+        self.metrics_client.increment("get_api_data_attempt")
+
         response = GetData.get_response(
             endpoint=self.endpoint,
             headers=self.headers,
             connection_timeout=self.connection_timeout,
         )
 
+
+        self.metrics_client.increment("get_api_data_success")
+
         return response.json()
 
     @staticmethod
@@ -88,5 +99,9 @@ def api_to_dataframe(response: dict):
         Returns:
             DataFrame: A pandas DataFrame containing the data from the API response.
         """
+        MetricsClient().increment("api_to_dataframe_attempt")
+
         df = GetData.to_dataframe(response)
+
+        MetricsClient().increment("api_to_dataframe_success")
         return df

poetry.lock

@@ -0,0 +1,19 @@
+from datadog import initialize, statsd
+
+
+class MetricsClient:
+    def __init__(self) -> None:
+        self.options = options = {
+            "statsd_host": "node-metrics-ba28.ivanildobarauna.dev",
+            "statsd_port": 8125,
+        }
+        self.client = initialize(**options)
+        self.application_name = "api-to-dataframe"
+
+    def increment(
+        self, action: str, tags: list[str] = ["env:production"], value: float = 1.0
+    ):
+
+        tags.append(f"action:{action}")
+
+        statsd.increment(metric=self.application_name, tags=tags, value=value)