D-39625 New logger and timestamp

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

* D-39625 New logger

Author: balaji-digital-ai

README.md

@@ -35,4 +35,4 @@ class Hello(BaseTask):
  ```
 
 ## Documentation
-Read more about Digital.ai Release Python SDK [here](https://digital.ai/)
+Read more about Digital.ai Release Python SDK [here](https://docs.digital.ai/release/docs/category/python-sdk)

digitalai/release/integration/__init__.py

@@ -3,3 +3,4 @@
 from .output_context import OutputContext
 from .exceptions import AbortException
 from .reporting_records import BuildRecord, PlanRecord, ItsmRecord,CodeComplianceRecord, DeploymentRecord
+from .logger import dai_logger

digitalai/release/integration/base_task.py

@@ -10,14 +10,20 @@
 from .input_context import AutomatedTaskAsUserContext, ReleaseContext
 from .output_context import OutputContext
 from .exceptions import AbortException
-
-logger = logging.getLogger("Digitalai")
+from .logger import dai_logger
 
 
 class BaseTask(ABC):
     """
     An abstract base class representing a task that can be executed.
     """
+    def __init__(self):
+        self.task_id = None
+        self.release_context = None
+        self.release_server_url = None
+        self.input_properties = None
+        self.output_context = None
+
     def execute_task(self) -> None:
         """
         Executes the task by calling the execute method. If an AbortException is raised during execution,
@@ -28,12 +34,13 @@ def execute_task(self) -> None:
             self.output_context = OutputContext(0, "", {}, [])
             self.execute()
         except AbortException:
-            logger.debug("Abort requested")
+            dai_logger.info("Abort requested")
             self.set_exit_code(1)
-            sys.exit(1)
             self.set_error_message("Abort requested")
+            sys.exit(1)
+
         except Exception as e:
-            logger.error("Unexpected error occurred.", exc_info=True)
+            dai_logger.error("Unexpected error occurred.", exc_info=True)
             self.set_exit_code(1)
             self.set_error_message(str(e))
 
@@ -104,13 +111,13 @@ def add_comment(self, comment: str) -> None:
         """
         Logs a comment of the task.
         """
-        logger.debug(f"##[start: comment]{comment}##[end: comment]")
+        dai_logger.debug(f"##[start: comment]{comment}##[end: comment]")
 
     def set_status_line(self, status_line: str) -> None:
         """
         Set the status of the task.
         """
-        logger.debug(f"##[start: status]{status_line}##[end: status]")
+        dai_logger.debug(f"##[start: status]{status_line}##[end: status]")
 
     def add_reporting_record(self, reporting_record: Any) -> None:
         """

digitalai/release/integration/k8s.py

@@ -2,6 +2,8 @@
 
 from kubernetes import client, config
 from kubernetes.client import CoreV1Api
+from kubernetes.config.config_exception import ConfigException
+from .logger import dai_logger
 
 kubernetes_client: CoreV1Api = None
 lock = threading.Lock()
@@ -13,8 +15,20 @@ def get_client():
     if not kubernetes_client:
         with lock:
             if not kubernetes_client:
-                config.load_config()
+                try:
+                    #dai_logger.info("Attempting to load in-cluster config")
+                    config.load_incluster_config()
+                    #dai_logger.info("Successfully loaded in-cluster config")
+                except ConfigException:
+                    #dai_logger.warning("In-cluster config failed, attempting default load_config")
+                    try:
+                        config.load_config()
+                        #dai_logger.info("Successfully loaded config using load_config")
+                    except Exception:
+                        dai_logger.exception("Failed to load any Kubernetes config")
+                        raise RuntimeError("Could not configure Kubernetes client")
                 kubernetes_client = client.CoreV1Api()
+                #dai_logger.info("Kubernetes client created successfully")
 
     return kubernetes_client
 

digitalai/release/integration/logger.py

@@ -0,0 +1,20 @@
+import logging
+import sys
+
+# Define the log format (with milliseconds) and date format
+LOG_FORMAT  = "%(asctime)s.%(msecs)03d %(levelname)s [%(filename)s:%(lineno)d] - %(message)s"
+DATE_FORMAT = "%Y-%m-%d %H:%M:%S"
+
+# Create a formatter
+_formatter = logging.Formatter(fmt=LOG_FORMAT, datefmt=DATE_FORMAT)
+
+# Create a stream handler (to stdout) and attach the formatter
+_handler = logging.StreamHandler(sys.stdout)
+_handler.setFormatter(_formatter)
+
+# Get your “dai” logger
+dai_logger = logging.getLogger("digital_ai")
+dai_logger.setLevel(logging.DEBUG)
+dai_logger.propagate = False
+if not dai_logger.handlers:
+    dai_logger.addHandler(_handler)

digitalai/release/integration/logging_config.py

@@ -1,31 +1,28 @@
-import logging
 import os
 import threading
 
 from kubernetes import watch
-
+from .logger import dai_logger
 from digitalai.release.integration import k8s
 
-logger = logging.getLogger("Digitalai")
-
 
 def start_input_context_watcher(on_input_context_update_func):
-    logger.debug("Input context watcher started")
+    dai_logger.info("Input context watcher started")
 
     stop = threading.Event()
 
     try:
         start_input_secret_watcher(on_input_context_update_func, stop)
     except Exception:
-        logger.error("Unexpected error occurred.", exc_info=True)
+        dai_logger.error("Unexpected error occurred.", exc_info=True)
         return
 
     # Wait until the watcher is stopped
     stop.wait()
 
 
 def start_input_secret_watcher(on_input_context_update_func, stop):
-    logger.debug("Input secret watcher started")
+    dai_logger.info("Input secret watcher started")
 
     kubernetes_client = k8s.get_client()
     field_selector = "metadata.name=" + os.getenv("INPUT_CONTEXT_SECRET")
@@ -39,7 +36,7 @@ def start_input_secret_watcher(on_input_context_update_func, stop):
 
         # Checking if 'session-key' field has changed
         if old_session_key and old_session_key != new_session_key:
-            logger.info("Detected input context value change")
+            dai_logger.info("Detected input context value change")
             on_input_context_update_func()
 
         # Set old session-key value

digitalai/release/integration/watcher.py

@@ -4,7 +4,6 @@
 import base64
 import importlib
 import json
-import logging.config
 import os
 import signal
 import sys
@@ -17,7 +16,7 @@
 from .base_task import BaseTask
 from .input_context import InputContext
 from .job_data_encryptor import AESJobDataEncryptor, NoOpJobDataEncryptor
-from .logging_config import LOGGING_CONFIG
+from .logger import dai_logger
 from .masked_io import MaskedIO
 from .output_context import OutputContext
 
@@ -51,12 +50,6 @@ def get_encryptor():
     return encryptor
 
 
-# Set up logging
-logging.config.dictConfig(LOGGING_CONFIG)
-
-# Get the logger
-logger = logging.getLogger("Digitalai")
-
 # Initialize the global task object
 dai_task_object: BaseTask = None
 
@@ -66,13 +59,13 @@ def abort_handler(signum, frame):
     This function handles the abort request by calling the abort method on the global task object, if it exists.
     If the task object does not exist, it logs a message and exits with a status code of 1.
     """
-    logger.debug("Received SIGTERM to gracefully stop the process")
+    dai_logger.info("Received SIGTERM to gracefully stop the process")
     global dai_task_object
 
     if dai_task_object:
         dai_task_object.abort()
     else:
-        logger.debug("Abort requested")
+        dai_logger.info("Abort requested")
         sys.exit(1)
 
 
@@ -86,15 +79,17 @@ def get_task_details():
     and parsing the JSON data into an InputContext object. Then, set the secrets for the masked standard output
     and error streams, build the task properties from the InputContext object.
     """
-    logger.debug("Preparing for task properties.")
+    dai_logger.info("Preparing for task properties")
     if input_context_file:
-        logger.debug("Reading input context from file")
+        dai_logger.info("Reading input context from file")
         with open(input_context_file) as data_input:
             input_content = data_input.read()
+        #dai_logger.info("Successfully loaded input context from file")
     else:
-        logger.debug("Reading input context from secret")
-        secret = k8s.get_client().read_namespaced_secret(input_context_secret, runner_namespace)
-
+        k8s_client = k8s.get_client()
+        dai_logger.info("Reading input context from secret")
+        secret =k8s_client.read_namespaced_secret(input_context_secret, runner_namespace)
+        #dai_logger.info("Successfully loaded input context from secret")
         global base64_session_key, callback_url
         base64_session_key = base64.b64decode(secret.data["session-key"])
         callback_url = base64.b64decode(secret.data["url"])
@@ -111,7 +106,7 @@ def get_task_details():
                 response = requests.get(fetch_url)
                 response.raise_for_status()
             except requests.exceptions.RequestException as e:
-                logger.error("Failed to fetch data.", exc_info=True)
+                dai_logger.error("Failed to fetch data.", exc_info=True)
                 raise e
 
             if response.status_code != 200:
@@ -122,6 +117,7 @@ def get_task_details():
             input_content = base64.b64decode(input_content)
 
     decrypted_json = get_encryptor().decrypt(input_content)
+    #dai_logger.info("Successfully decrypted input context")
     global input_context
     input_context = InputContext.from_dict(json.loads(decrypted_json))
 
@@ -140,39 +136,38 @@ def update_output_context(output_context: OutputContext):
     dictionary to a JSON string, encrypting the string using the encryptor, and writing the encrypted string
     to the output context file or secret and pushing to callback URL.
     """
-    logger.debug("Creating output context file")
     output_content = json.dumps(output_context.to_dict())
     encrypted_json = get_encryptor().encrypt(output_content)
     try:
         if output_context_file:
-            logger.debug("Writing output context to file")
+            dai_logger.info("Writing output context to file")
             with open(output_context_file, "w") as data_output:
                 data_output.write(encrypted_json)
         if result_secret_key:
-            logger.debug("Writing output context to secret")
+            dai_logger.info("Writing output context to secret")
             if len(encrypted_json) >= size_of_1Mb:
-                logger.warning("Result size exceeds 1Mb and is too big to store in secret")
+                dai_logger.warning("Result size exceeds 1Mb and is too big to store in secret")
             else:
                 namespace, name, key = k8s.split_secret_resource_data(result_secret_key)
                 secret = k8s.get_client().read_namespaced_secret(name, namespace)
                 secret.data[key] = encrypted_json
                 k8s.get_client().replace_namespaced_secret(name, namespace, secret)
         if callback_url:
-            logger.debug("Pushing result using HTTP")
+            dai_logger.info("Pushing result using HTTP")
             url = base64.b64decode(callback_url).decode("UTF-8")
             try:
                 urllib3.PoolManager().request("POST", url, headers={'Content-Type': 'application/json'},
                                               body=encrypted_json)
             except Exception:
                 if should_retry_callback_request(encrypted_json):
-                    logger.error("Cannot finish Callback request.", exc_info=True)
-                    logger.info("Retry flag was set on Callback request, retrying until successful...")
+                    dai_logger.error("Cannot finish Callback request.", exc_info=True)
+                    dai_logger.info("Retry flag was set on Callback request, retrying until successful...")
                     retry_push_result_infinitely(encrypted_json)
                 else:
                     raise
 
     except Exception:
-        logger.error("Unexpected error occurred.", exc_info=True)
+        dai_logger.error("Unexpected error occurred.", exc_info=True)
 
 
 def retry_push_result_infinitely(encrypted_json):
@@ -197,7 +192,7 @@ def retry_push_result_infinitely(encrypted_json):
             response = urllib3.PoolManager().request("POST", url, headers={'Content-Type': 'application/json'}, body=encrypted_json)
             return response
         except Exception as e:
-            logger.warning(f"Cannot finish retried Callback request: {e}. Retrying in {retry_delay} seconds...")
+            dai_logger.warning(f"Cannot finish retried Callback request: {e}. Retrying in {retry_delay} seconds...")
             time.sleep(retry_delay)
             retry_delay = min(retry_delay * backoff_factor, max_backoff)
 
@@ -216,13 +211,13 @@ def execute_task(task_object: BaseTask):
     If an exception is raised during execution, log the error. Finally, update the output context file
     using the output context of the task object.
     """
+    global dai_task_object
     try:
-        global dai_task_object
         dai_task_object = task_object
-        logger.debug("Starting task execution")
+        dai_logger.info("Starting task execution")
         dai_task_object.execute_task()
     except Exception:
-        logger.error("Unexpected error occurred.", exc_info=True)
+        dai_logger.error("Unexpected error occurred.", exc_info=True)
     finally:
         update_output_context(dai_task_object.get_output_context())
 
@@ -261,7 +256,7 @@ def run():
         execute_task(task_obj)
     except Exception as e:
         # Log the error and update the output context file with exit code 1 if an exception is raised
-        logger.error("Unexpected error occurred.", exc_info=True)
+        dai_logger.error("Unexpected error occurred.", exc_info=True)
         update_output_context(OutputContext(1, str(e), {}, []))
     finally:
         if execution_mode == "daemon":