Refactor report generation and logging handlers.

Introduced `CustomLogsHandler` to streamline log management and updated `ReportGenerator` to simplify report generation output. Removed unused asynchronous iterator methods, improving code clarity and reducing complexity.
This commit is contained in:
ThomasTaroni 2025-04-25 18:56:41 +02:00
parent 1dbf774d55
commit 936eb6f394
2 changed files with 5 additions and 21 deletions

View file

@ -37,7 +37,8 @@ async def get_report_endpoint(request: ReportRequest):
try:
# Call the asynchronous get_report function
generator = ReportGenerator(request.query, request.report_type)
await generator.generate_report()
custom_logs_handler = await generator.generate_report()
yield "Report generation completed successfully!\n"
except Exception as e:
yield f"Error: {str(e)}"

View file

@ -4,15 +4,13 @@ from typing import Dict, Any, AsyncGenerator, Coroutine
class CustomLogsHandler:
"""A custom Logs handler class to handle JSON data."""
def __init__(self, logs=None):
if logs is None:
logs = []
self.logs = logs # Initialize logs to store data
def __init__(self):
self.logs = [] # Initialize logs to store data
async def send_json(self, data: Dict[str, Any]) -> None:
"""Send JSON data and log it."""
self.logs.append(data) # Append data to logs
print(f"My custom Log: {data}")
print(f"My custom Log: {data}") # For demonstration, print the log
class ReportGenerator:
def __init__(self, query: str, report_type: str):
@ -51,18 +49,3 @@ class ReportGenerator:
"query": self.query,
"report_type": self.report_type
}
# Implementing the asynchronous iterator protocol
def __aiter__(self):
"""Initialize and return the asynchronous iterator."""
self._log_index = 0 # Iterator index
return self
async def __anext__(self):
"""Return the next log asynchronously."""
if self._log_index < len(self.logs):
log = self.logs[self._log_index]
self._log_index += 1
yield log # Return the next log
else:
raise StopAsyncIteration # Stop when logs are exhausted