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telemetry_logger.py
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telemetry_logger.py
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import time
import uuid
import requests
from logger import logger
from utils import get_from_env_or_config
telemetryURL = get_from_env_or_config('telemetry', 'TELEMETRY_ENDPOINT_URL', None)
ENV_NAME = get_from_env_or_config('telemetry', 'environment', None)
TELEMETRY_LOG_ENABLED = get_from_env_or_config('telemetry', 'telemetry_log_enabled', None).lower() == "true"
telemetry_id = get_from_env_or_config('telemetry', 'service_id', None)
telemetry_ver = get_from_env_or_config('telemetry', 'service_ver', None)
actor_id = get_from_env_or_config('telemetry', 'actor_id', None)
channel = get_from_env_or_config('telemetry', 'channel', None)
pdata_id = get_from_env_or_config('telemetry', 'pdata_id', None)
events_threshold = get_from_env_or_config('telemetry', 'events_threshold', None)
class TelemetryLogger:
"""
A class to capture and send telemetry logs using the requests library with threshold limit.
"""
def __init__(self, url=telemetryURL, threshold=int(events_threshold)):
self.url = url
self.events = [] # Store multiple events before exceeding threshold
self.threshold = threshold
def add_event(self, event):
"""
Adds a telemetry event to the log.
**kwargs:** Keyword arguments containing the event data.
"""
logger.info(f"Telemetry event: {event}")
if not TELEMETRY_LOG_ENABLED:
return
self.events.append(event)
# Send logs if exceeding threshold
if len(self.events) >= self.threshold:
self.send_logs()
def send_logs(self):
"""
Sends the captured telemetry logs using the requests library.
"""
try:
data = {
"id": telemetry_id,
"ver": telemetry_ver,
"params": {"msgid": str(uuid.uuid4())},
"ets": int(time.time() * 1000),
"events": self.events
}
headers = {"Content-Type": "application/json"}
response = requests.post(self.url + "/v1/telemetry", json=data, headers=headers)
response.raise_for_status()
logger.debug(f"Telemetry API request data: {data}")
logger.info("Telemetry logs sent successfully!")
# Reset captured events after sending
self.events = []
except requests.exceptions.RequestException as e:
logger.error(f"Error sending telemetry log: {e}", exc_info=True)
def prepare_log_event(self, eventInput: dict, etype="api_access", elevel="INFO", message=""):
"""
Prepare a telemetry event dictionary with the specified values.
Args:
eventInput: Event Input.
etype: Event type (default: "api_access").
elevel: Event level (default: "INFO").
message: Event message.
Returns:
A dictionary representing the telemetry event data.
"""
data = {
"eid": "LOG",
"ets": int(time.time() * 1000), # Current timestamp
"ver": telemetry_ver, # Version
"mid": f"LOG:{round(time.time())}", # Unique message ID
"actor": {
"id": actor_id,
"type": "System",
},
"context": {
"channel": channel,
"pdata": {
"id": pdata_id,
"ver": "1.0",
"pid": ""
},
"env": ENV_NAME
},
"edata": {
"type": etype,
"level": elevel,
"message": str(message).replace("'", "")
}
}
if eventInput.get("x-request-id", None):
data["context"]["sid"] = eventInput.get("x-request-id")
if eventInput.get("x-device-id", None):
data["context"]["did"] = eventInput.get("x-device-id")
eventCData = self.__getEventCData(eventInput)
if eventCData:
data["context"]["cdata"] = eventCData
eventEDataParams = self.__getEventEDataParams(eventInput)
if eventEDataParams:
data["edata"]["params"] = eventEDataParams
return data
def __getEventCData(self, eventInput: dict):
eventCData = []
if eventInput.get("x-consumer-id", None) and eventInput.get("x-source", None):
eventCData = [
{
"id": eventInput.get("x-consumer-id"),
"type": "ConsumerId"
},
{
"id": eventInput.get("x-source"),
"type": "Source"
}
]
return eventCData
def __getEventEDataParams(self, eventInput: dict):
eventEDataParams = [
{"method": str(eventInput.get("method"))},
{"url": str(eventInput.get("url"))},
{"status": eventInput.get("status_code")},
{"duration": int(eventInput.get("duration"))}
]
flattened_dict = self.__flatten_dict(eventInput.get("body", {}))
if bool(flattened_dict):
for item in flattened_dict.items():
eventEDataParams.append({item[0]: item[1]})
return eventEDataParams
def __flatten_dict(self, d, parent_key='', sep='_'):
flattened = {}
if bool(d):
for k, v in d.items():
new_key = f"{parent_key}{sep}{k}" if parent_key else k
if isinstance(v, dict):
flattened.update(self.__flatten_dict(v, new_key, sep=sep))
else:
flattened[new_key] = v
return flattened