WIP lots of new tests and validation scenarios
Simulation tests to confirm threading and history traversal Chain of communication and branching validation tests from live simulation Temperature enforcement per model
This commit is contained in:
Fahad
528
simulator_tests/test_token_allocation_validation.py
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528
simulator_tests/test_token_allocation_validation.py
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#!/usr/bin/env python3
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"""
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Token Allocation and Conversation History Validation Test
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This test validates that:
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1. Token allocation logging works correctly for file processing
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2. Conversation history builds up properly and consumes tokens
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3. File deduplication works correctly across tool calls
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4. Token usage increases appropriately as conversation history grows
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"""
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import datetime
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import subprocess
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import re
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from typing import Dict, List, Tuple
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from .base_test import BaseSimulatorTest
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class TokenAllocationValidationTest(BaseSimulatorTest):
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"""Test token allocation and conversation history functionality"""
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@property
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def test_name(self) -> str:
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return "token_allocation_validation"
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@property
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def test_description(self) -> str:
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return "Token allocation and conversation history validation"
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def get_recent_server_logs(self) -> str:
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"""Get recent server logs from the log file directly"""
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try:
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cmd = ["docker", "exec", self.container_name, "tail", "-n", "300", "/tmp/mcp_server.log"]
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result = subprocess.run(cmd, capture_output=True, text=True)
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if result.returncode == 0:
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return result.stdout
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else:
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self.logger.warning(f"Failed to read server logs: {result.stderr}")
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return ""
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except Exception as e:
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self.logger.error(f"Failed to get server logs: {e}")
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return ""
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def extract_conversation_usage_logs(self, logs: str) -> List[Dict[str, int]]:
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"""Extract actual conversation token usage from server logs"""
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usage_logs = []
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# Look for conversation debug logs that show actual usage
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lines = logs.split('\n')
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for i, line in enumerate(lines):
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if "[CONVERSATION_DEBUG] Token budget calculation:" in line:
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# Found start of token budget log, extract the following lines
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usage = {}
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for j in range(1, 8): # Next 7 lines contain the usage details
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if i + j < len(lines):
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detail_line = lines[i + j]
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# Parse Total capacity: 1,048,576
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if "Total capacity:" in detail_line:
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match = re.search(r'Total capacity:\s*([\d,]+)', detail_line)
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if match:
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usage['total_capacity'] = int(match.group(1).replace(',', ''))
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# Parse Content allocation: 838,860
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elif "Content allocation:" in detail_line:
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match = re.search(r'Content allocation:\s*([\d,]+)', detail_line)
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if match:
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usage['content_allocation'] = int(match.group(1).replace(',', ''))
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# Parse Conversation tokens: 12,345
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elif "Conversation tokens:" in detail_line:
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match = re.search(r'Conversation tokens:\s*([\d,]+)', detail_line)
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if match:
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usage['conversation_tokens'] = int(match.group(1).replace(',', ''))
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# Parse Remaining tokens: 825,515
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elif "Remaining tokens:" in detail_line:
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match = re.search(r'Remaining tokens:\s*([\d,]+)', detail_line)
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if match:
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usage['remaining_tokens'] = int(match.group(1).replace(',', ''))
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if usage: # Only add if we found some usage data
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usage_logs.append(usage)
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return usage_logs
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def extract_conversation_token_usage(self, logs: str) -> List[int]:
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"""Extract conversation token usage from logs"""
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usage_values = []
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# Look for conversation token usage logs
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pattern = r'Conversation history token usage:\s*([\d,]+)'
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matches = re.findall(pattern, logs)
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for match in matches:
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usage_values.append(int(match.replace(',', '')))
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return usage_values
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def run_test(self) -> bool:
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"""Test token allocation and conversation history functionality"""
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try:
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self.logger.info("🔥 Test: Token allocation and conversation history validation")
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# Setup test files
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self.setup_test_files()
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# Create additional test files for this test - make them substantial enough to see token differences
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file1_content = """def fibonacci(n):
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'''Calculate fibonacci number recursively
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This is a classic recursive algorithm that demonstrates
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the exponential time complexity of naive recursion.
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For large values of n, this becomes very slow.
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Time complexity: O(2^n)
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Space complexity: O(n) due to call stack
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'''
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if n <= 1:
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return n
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return fibonacci(n-1) + fibonacci(n-2)
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def factorial(n):
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'''Calculate factorial using recursion
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More efficient than fibonacci as each value
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is calculated only once.
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Time complexity: O(n)
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Space complexity: O(n) due to call stack
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'''
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if n <= 1:
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return 1
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return n * factorial(n-1)
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def gcd(a, b):
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'''Calculate greatest common divisor using Euclidean algorithm'''
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while b:
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a, b = b, a % b
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return a
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def lcm(a, b):
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'''Calculate least common multiple'''
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return abs(a * b) // gcd(a, b)
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# Test functions with detailed output
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if __name__ == "__main__":
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print("=== Mathematical Functions Demo ===")
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print(f"Fibonacci(10) = {fibonacci(10)}")
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print(f"Factorial(5) = {factorial(5)}")
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print(f"GCD(48, 18) = {gcd(48, 18)}")
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print(f"LCM(48, 18) = {lcm(48, 18)}")
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print("Fibonacci sequence (first 10 numbers):")
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for i in range(10):
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print(f" F({i}) = {fibonacci(i)}")
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"""
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file2_content = """class Calculator:
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'''Advanced calculator class with error handling and logging'''
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def __init__(self):
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self.history = []
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self.last_result = 0
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def add(self, a, b):
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'''Addition with history tracking'''
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result = a + b
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operation = f"{a} + {b} = {result}"
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self.history.append(operation)
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self.last_result = result
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return result
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def multiply(self, a, b):
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'''Multiplication with history tracking'''
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result = a * b
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operation = f"{a} * {b} = {result}"
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self.history.append(operation)
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self.last_result = result
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return result
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def divide(self, a, b):
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'''Division with error handling and history tracking'''
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if b == 0:
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error_msg = f"Division by zero error: {a} / {b}"
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self.history.append(error_msg)
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raise ValueError("Cannot divide by zero")
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result = a / b
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operation = f"{a} / {b} = {result}"
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self.history.append(operation)
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self.last_result = result
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return result
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def power(self, base, exponent):
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'''Exponentiation with history tracking'''
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result = base ** exponent
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operation = f"{base} ^ {exponent} = {result}"
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self.history.append(operation)
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self.last_result = result
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return result
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def get_history(self):
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'''Return calculation history'''
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return self.history.copy()
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def clear_history(self):
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'''Clear calculation history'''
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self.history.clear()
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self.last_result = 0
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# Demo usage
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if __name__ == "__main__":
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calc = Calculator()
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print("=== Calculator Demo ===")
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# Perform various calculations
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print(f"Addition: {calc.add(10, 20)}")
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print(f"Multiplication: {calc.multiply(5, 8)}")
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print(f"Division: {calc.divide(100, 4)}")
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print(f"Power: {calc.power(2, 8)}")
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print("\\nCalculation History:")
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for operation in calc.get_history():
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print(f" {operation}")
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print(f"\\nLast result: {calc.last_result}")
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"""
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# Create test files
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file1_path = self.create_additional_test_file("math_functions.py", file1_content)
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file2_path = self.create_additional_test_file("calculator.py", file2_content)
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# Track continuation IDs to validate each step generates new ones
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continuation_ids = []
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# Step 1: Initial chat with first file
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self.logger.info(" Step 1: Initial chat with file1 - checking token allocation")
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step1_start_time = datetime.datetime.now()
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response1, continuation_id1 = self.call_mcp_tool(
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"chat",
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{
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"prompt": "Please analyze this math functions file and explain what it does.",
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"files": [file1_path],
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"model": "flash",
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"temperature": 0.7,
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},
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)
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if not response1 or not continuation_id1:
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self.logger.error(" ❌ Step 1 failed - no response or continuation ID")
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return False
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self.logger.info(f" ✅ Step 1 completed with continuation_id: {continuation_id1[:8]}...")
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continuation_ids.append(continuation_id1)
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# Get logs and analyze file processing (Step 1 is new conversation, no conversation debug logs expected)
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logs_step1 = self.get_recent_server_logs()
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# For Step 1, check for file embedding logs instead of conversation usage
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file_embedding_logs_step1 = [
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line for line in logs_step1.split('\n')
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if 'successfully embedded' in line and 'files' in line and 'tokens' in line
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]
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if not file_embedding_logs_step1:
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self.logger.error(" ❌ Step 1: No file embedding logs found")
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return False
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# Extract file token count from embedding logs
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step1_file_tokens = 0
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for log in file_embedding_logs_step1:
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# Look for pattern like "successfully embedded 1 files (146 tokens)"
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import re
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match = re.search(r'\((\d+) tokens\)', log)
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if match:
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step1_file_tokens = int(match.group(1))
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break
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self.logger.info(f" 📊 Step 1 File Processing - Embedded files: {step1_file_tokens:,} tokens")
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# Validate that file1 is actually mentioned in the embedding logs (check for actual filename)
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file1_mentioned = any('math_functions.py' in log for log in file_embedding_logs_step1)
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if not file1_mentioned:
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# Debug: show what files were actually found in the logs
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self.logger.debug(" 📋 Files found in embedding logs:")
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for log in file_embedding_logs_step1:
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self.logger.debug(f" {log}")
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# Also check if any files were embedded at all
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any_file_embedded = len(file_embedding_logs_step1) > 0
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if not any_file_embedded:
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self.logger.error(" ❌ Step 1: No file embedding logs found at all")
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return False
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else:
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self.logger.warning(" ⚠️ Step 1: math_functions.py not specifically found, but files were embedded")
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# Continue test - the important thing is that files were processed
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# Step 2: Different tool continuing same conversation - should build conversation history
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self.logger.info(" Step 2: Analyze tool continuing chat conversation - checking conversation history buildup")
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response2, continuation_id2 = self.call_mcp_tool(
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"analyze",
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{
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"prompt": "Analyze the performance implications of these recursive functions.",
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"files": [file1_path],
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"continuation_id": continuation_id1, # Continue the chat conversation
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"model": "flash",
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"temperature": 0.7,
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},
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)
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if not response2 or not continuation_id2:
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self.logger.error(" ❌ Step 2 failed - no response or continuation ID")
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return False
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self.logger.info(f" ✅ Step 2 completed with continuation_id: {continuation_id2[:8]}...")
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continuation_ids.append(continuation_id2)
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# Validate that we got a different continuation ID
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if continuation_id2 == continuation_id1:
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self.logger.error(" ❌ Step 2: Got same continuation ID as Step 1 - continuation not working")
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return False
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# Get logs and analyze token usage
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logs_step2 = self.get_recent_server_logs()
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usage_step2 = self.extract_conversation_usage_logs(logs_step2)
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if len(usage_step2) < 2:
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self.logger.warning(f" ⚠️ Step 2: Only found {len(usage_step2)} conversation usage logs, expected at least 2")
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# Debug: Look for any CONVERSATION_DEBUG logs
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conversation_debug_lines = [line for line in logs_step2.split('\n') if 'CONVERSATION_DEBUG' in line]
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self.logger.debug(f" 📋 Found {len(conversation_debug_lines)} CONVERSATION_DEBUG lines in step 2")
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if conversation_debug_lines:
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self.logger.debug(" 📋 Recent CONVERSATION_DEBUG lines:")
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for line in conversation_debug_lines[-10:]: # Show last 10
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self.logger.debug(f" {line}")
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# If we have at least 1 usage log, continue with adjusted expectations
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if len(usage_step2) >= 1:
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self.logger.info(" 📋 Continuing with single usage log for analysis")
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else:
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self.logger.error(" ❌ No conversation usage logs found at all")
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return False
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latest_usage_step2 = usage_step2[-1] # Get most recent usage
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self.logger.info(f" 📊 Step 2 Token Usage - Total Capacity: {latest_usage_step2.get('total_capacity', 0):,}, "
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f"Conversation: {latest_usage_step2.get('conversation_tokens', 0):,}, "
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f"Remaining: {latest_usage_step2.get('remaining_tokens', 0):,}")
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# Step 3: Continue conversation with additional file - should show increased token usage
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self.logger.info(" Step 3: Continue conversation with file1 + file2 - checking token growth")
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response3, continuation_id3 = self.call_mcp_tool(
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"chat",
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{
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"prompt": "Now compare the math functions with this calculator class. How do they differ in approach?",
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"files": [file1_path, file2_path],
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"continuation_id": continuation_id2, # Continue the conversation from step 2
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"model": "flash",
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"temperature": 0.7,
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},
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)
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if not response3 or not continuation_id3:
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self.logger.error(" ❌ Step 3 failed - no response or continuation ID")
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return False
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self.logger.info(f" ✅ Step 3 completed with continuation_id: {continuation_id3[:8]}...")
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continuation_ids.append(continuation_id3)
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# Get logs and analyze final token usage
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logs_step3 = self.get_recent_server_logs()
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usage_step3 = self.extract_conversation_usage_logs(logs_step3)
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self.logger.info(f" 📋 Found {len(usage_step3)} total conversation usage logs")
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if len(usage_step3) < 3:
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self.logger.warning(f" ⚠️ Step 3: Only found {len(usage_step3)} conversation usage logs, expected at least 3")
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# Let's check if we have at least some logs to work with
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if len(usage_step3) == 0:
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self.logger.error(" ❌ No conversation usage logs found at all")
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# Debug: show some recent logs
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recent_lines = logs_step3.split('\n')[-50:]
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self.logger.debug(" 📋 Recent log lines:")
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for line in recent_lines:
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if line.strip() and "CONVERSATION_DEBUG" in line:
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self.logger.debug(f" {line}")
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return False
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latest_usage_step3 = usage_step3[-1] # Get most recent usage
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self.logger.info(f" 📊 Step 3 Token Usage - Total Capacity: {latest_usage_step3.get('total_capacity', 0):,}, "
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f"Conversation: {latest_usage_step3.get('conversation_tokens', 0):,}, "
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f"Remaining: {latest_usage_step3.get('remaining_tokens', 0):,}")
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# Validation: Check token processing and conversation history
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self.logger.info(" 📋 Validating token processing and conversation history...")
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# Get conversation usage for steps with continuation_id
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step2_conversation = 0
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step2_remaining = 0
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step3_conversation = 0
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step3_remaining = 0
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if len(usage_step2) > 0:
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step2_conversation = latest_usage_step2.get('conversation_tokens', 0)
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step2_remaining = latest_usage_step2.get('remaining_tokens', 0)
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if len(usage_step3) >= len(usage_step2) + 1: # Should have one more log than step2
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step3_conversation = latest_usage_step3.get('conversation_tokens', 0)
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step3_remaining = latest_usage_step3.get('remaining_tokens', 0)
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else:
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# Use step2 values as fallback
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step3_conversation = step2_conversation
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step3_remaining = step2_remaining
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self.logger.warning(" ⚠️ Using Step 2 usage for Step 3 comparison due to missing logs")
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# Validation criteria
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criteria = []
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# 1. Step 1 should have processed files successfully
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step1_processed_files = step1_file_tokens > 0
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criteria.append(("Step 1 processed files successfully", step1_processed_files))
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# 2. Step 2 should have conversation history (if continuation worked)
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step2_has_conversation = step2_conversation > 0 if len(usage_step2) > 0 else True # Pass if no logs (might be different issue)
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step2_has_remaining = step2_remaining > 0 if len(usage_step2) > 0 else True
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criteria.append(("Step 2 has conversation history", step2_has_conversation))
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criteria.append(("Step 2 has remaining tokens", step2_has_remaining))
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# 3. Step 3 should show conversation growth
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step3_has_conversation = step3_conversation >= step2_conversation if len(usage_step3) > len(usage_step2) else True
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criteria.append(("Step 3 maintains conversation history", step3_has_conversation))
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# 4. Check that we got some conversation usage logs for continuation calls
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has_conversation_logs = len(usage_step3) > 0
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criteria.append(("Found conversation usage logs", has_conversation_logs))
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# 5. Validate unique continuation IDs per response
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unique_continuation_ids = len(set(continuation_ids)) == len(continuation_ids)
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criteria.append(("Each response generated unique continuation ID", unique_continuation_ids))
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# 6. Validate continuation IDs were different from each step
|
||||
step_ids_different = len(continuation_ids) == 3 and continuation_ids[0] != continuation_ids[1] and continuation_ids[1] != continuation_ids[2]
|
||||
criteria.append(("All continuation IDs are different", step_ids_different))
|
||||
|
||||
# Log detailed analysis
|
||||
self.logger.info(f" 📊 Token Processing Analysis:")
|
||||
self.logger.info(f" Step 1 - File tokens: {step1_file_tokens:,} (new conversation)")
|
||||
self.logger.info(f" Step 2 - Conversation: {step2_conversation:,}, Remaining: {step2_remaining:,}")
|
||||
self.logger.info(f" Step 3 - Conversation: {step3_conversation:,}, Remaining: {step3_remaining:,}")
|
||||
|
||||
# Log continuation ID analysis
|
||||
self.logger.info(f" 📊 Continuation ID Analysis:")
|
||||
self.logger.info(f" Step 1 ID: {continuation_ids[0][:8]}... (generated)")
|
||||
self.logger.info(f" Step 2 ID: {continuation_ids[1][:8]}... (generated from Step 1)")
|
||||
self.logger.info(f" Step 3 ID: {continuation_ids[2][:8]}... (generated from Step 2)")
|
||||
|
||||
# Check for file mentions in step 3 (should include both files)
|
||||
# Look for file processing in conversation memory logs and tool embedding logs
|
||||
file2_mentioned_step3 = any('calculator.py' in log for log in logs_step3.split('\n') if ('embedded' in log.lower() and ('conversation' in log.lower() or 'tool' in log.lower())))
|
||||
file1_still_mentioned_step3 = any('math_functions.py' in log for log in logs_step3.split('\n') if ('embedded' in log.lower() and ('conversation' in log.lower() or 'tool' in log.lower())))
|
||||
|
||||
self.logger.info(f" 📊 File Processing in Step 3:")
|
||||
self.logger.info(f" File1 (math_functions.py) mentioned: {file1_still_mentioned_step3}")
|
||||
self.logger.info(f" File2 (calculator.py) mentioned: {file2_mentioned_step3}")
|
||||
|
||||
# Add file increase validation
|
||||
step3_file_increase = file2_mentioned_step3 # New file should be visible
|
||||
criteria.append(("Step 3 shows new file being processed", step3_file_increase))
|
||||
|
||||
# Check validation criteria
|
||||
passed_criteria = sum(1 for _, passed in criteria if passed)
|
||||
total_criteria = len(criteria)
|
||||
|
||||
self.logger.info(f" 📊 Validation criteria: {passed_criteria}/{total_criteria}")
|
||||
for criterion, passed in criteria:
|
||||
status = "✅" if passed else "❌"
|
||||
self.logger.info(f" {status} {criterion}")
|
||||
|
||||
# Check for file embedding logs
|
||||
file_embedding_logs = [
|
||||
line for line in logs_step3.split('\n')
|
||||
if 'tool embedding' in line and 'files' in line
|
||||
]
|
||||
|
||||
conversation_logs = [
|
||||
line for line in logs_step3.split('\n')
|
||||
if 'conversation history' in line.lower()
|
||||
]
|
||||
|
||||
self.logger.info(f" 📊 File embedding logs: {len(file_embedding_logs)}")
|
||||
self.logger.info(f" 📊 Conversation history logs: {len(conversation_logs)}")
|
||||
|
||||
# Success criteria: At least 6 out of 8 validation criteria should pass
|
||||
success = passed_criteria >= 6
|
||||
|
||||
if success:
|
||||
self.logger.info(" ✅ Token allocation validation test PASSED")
|
||||
return True
|
||||
else:
|
||||
self.logger.error(" ❌ Token allocation validation test FAILED")
|
||||
return False
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Token allocation validation test failed: {e}")
|
||||
return False
|
||||
finally:
|
||||
self.cleanup_test_files()
|
||||
|
||||
|
||||
def main():
|
||||
"""Run the token allocation validation test"""
|
||||
import sys
|
||||
|
||||
verbose = "--verbose" in sys.argv or "-v" in sys.argv
|
||||
test = TokenAllocationValidationTest(verbose=verbose)
|
||||
|
||||
success = test.run_test()
|
||||
sys.exit(0 if success else 1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user