Log Aggregation System

Log aggregation is a crucial component of many software systems, allowing centralized collection, storage, and analysis of log data from various sources. This challenge asks you to implement a simplified log aggregation system in Python that collects log messages from multiple simulated sources and aggregates them into a single, sorted output. This is useful for debugging, monitoring, and auditing purposes.

Problem Description

You are tasked with building a Python script that simulates a log aggregation system. The system receives log messages from multiple sources (simulated by lists of strings). Your script should:

1. Collect Logs: Accept a list of lists, where each inner list represents log messages from a single source.
2. Aggregate Logs: Combine all log messages from all sources into a single list.
3. Sort Logs: Sort the aggregated list of log messages chronologically (lexicographically, as timestamps are not provided).
4. Output Logs: Print the sorted list of log messages to the console, one message per line.

Key Requirements:

• The input will always be a list of lists of strings.
• Each string in the inner lists represents a single log message.
• The sorting should be stable (i.e., messages from the same source should maintain their original order relative to each other).
• The system should handle empty input lists gracefully.

Expected Behavior:

The script should take a list of lists of log messages as input, aggregate them, sort them, and print the sorted log messages to the console.

Edge Cases to Consider:

• Empty input list (no sources).
• Empty inner lists (sources with no log messages).
• Duplicate log messages.
• Log messages of varying lengths.

Examples

Example 1:

Input: [["log1", "log2"], ["log3", "log4", "log5"]]
Output:
log1
log2
log3
log4
log5
Explanation: The log messages are aggregated and sorted alphabetically.

Example 2:

Input: [["log4", "log1"], ["log2", "log3"]]
Output:
log1
log2
log3
log4
Explanation: The log messages are aggregated and sorted alphabetically. The original order within each source is not preserved.

Example 3: (Edge Case - Empty Input)

Input: []
Output:
Explanation: No log messages to process, so nothing is printed.

Example 4: (Edge Case - Empty Inner Lists)

Input: [[], ["log1"], []]
Output:
log1
Explanation: Empty inner lists are ignored.

Constraints

• The number of sources (inner lists) will be between 0 and 100.
• The number of log messages per source (inner list) will be between 0 and 1000.
• Each log message (string) will have a maximum length of 256 characters.
• The script should complete within 1 second for the given constraints.
• Input will consist of strings only.

Notes

• Consider using Python's built-in sorting capabilities for efficiency.
• Think about how to handle the aggregation and sorting steps in a clear and concise manner.
• While timestamps are not provided, lexicographical sorting will serve as a proxy for chronological order in this simplified scenario.
• Focus on correctness and readability. Efficiency is important, but not at the expense of code clarity.