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
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@@ -23,23 +23,40 @@ class ContentValidationTest(BaseSimulatorTest):
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def test_description(self) -> str:
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return "Content validation and duplicate detection"
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def run_test(self) -> bool:
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"""Test that tools don't duplicate file content in their responses"""
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def get_docker_logs_since(self, since_time: str) -> str:
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"""Get docker logs since a specific timestamp"""
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try:
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self.logger.info("📄 Test: Content validation and duplicate detection")
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# Check both main server and log monitor for comprehensive logs
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cmd_server = ["docker", "logs", "--since", since_time, self.container_name]
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cmd_monitor = ["docker", "logs", "--since", since_time, "gemini-mcp-log-monitor"]
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import subprocess
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result_server = subprocess.run(cmd_server, capture_output=True, text=True)
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result_monitor = subprocess.run(cmd_monitor, capture_output=True, text=True)
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# Combine logs from both containers
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combined_logs = result_server.stdout + "\n" + result_monitor.stdout
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return combined_logs
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except Exception as e:
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self.logger.error(f"Failed to get docker logs: {e}")
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return ""
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def run_test(self) -> bool:
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"""Test that file processing system properly handles file deduplication"""
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try:
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self.logger.info("📄 Test: Content validation and file processing deduplication")
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# Setup test files first
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self.setup_test_files()
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# Create a test file with distinctive content for validation
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# Create a test file for validation
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validation_content = '''"""
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Configuration file for content validation testing
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This content should appear only ONCE in any tool response
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"""
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# Configuration constants
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MAX_CONTENT_TOKENS = 800_000 # This line should appear exactly once
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TEMPERATURE_ANALYTICAL = 0.2 # This should also appear exactly once
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MAX_CONTENT_TOKENS = 800_000
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TEMPERATURE_ANALYTICAL = 0.2
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UNIQUE_VALIDATION_MARKER = "CONTENT_VALIDATION_TEST_12345"
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# Database settings
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@@ -57,112 +74,37 @@ DATABASE_CONFIG = {
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# Ensure absolute path for MCP server compatibility
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validation_file = os.path.abspath(validation_file)
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# Test 1: Precommit tool with files parameter (where the bug occurred)
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self.logger.info(" 1: Testing precommit tool content duplication")
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# Get timestamp for log filtering
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import datetime
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start_time = datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%S")
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# Call precommit tool with the validation file
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# Test 1: Initial tool call with validation file
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self.logger.info(" 1: Testing initial tool call with file")
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# Call chat tool with the validation file
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response1, thread_id = self.call_mcp_tool(
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"precommit",
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"chat",
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{
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"path": os.getcwd(),
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"prompt": "Analyze this configuration file briefly",
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"files": [validation_file],
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"prompt": "Test for content duplication in precommit tool",
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"model": "flash",
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},
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)
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if response1:
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# Parse response and check for content duplication
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try:
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response_data = json.loads(response1)
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content = response_data.get("content", "")
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if not response1:
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self.logger.error(" ❌ Initial tool call failed")
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return False
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# Count occurrences of distinctive markers
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max_content_count = content.count("MAX_CONTENT_TOKENS = 800_000")
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temp_analytical_count = content.count("TEMPERATURE_ANALYTICAL = 0.2")
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unique_marker_count = content.count("UNIQUE_VALIDATION_MARKER")
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self.logger.info(" ✅ Initial tool call completed")
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# Validate no duplication
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duplication_detected = False
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issues = []
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if max_content_count > 1:
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issues.append(f"MAX_CONTENT_TOKENS appears {max_content_count} times")
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duplication_detected = True
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if temp_analytical_count > 1:
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issues.append(f"TEMPERATURE_ANALYTICAL appears {temp_analytical_count} times")
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duplication_detected = True
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if unique_marker_count > 1:
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issues.append(f"UNIQUE_VALIDATION_MARKER appears {unique_marker_count} times")
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duplication_detected = True
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if duplication_detected:
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self.logger.error(f" ❌ Content duplication detected in precommit tool: {'; '.join(issues)}")
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return False
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else:
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self.logger.info(" ✅ No content duplication in precommit tool")
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except json.JSONDecodeError:
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self.logger.warning(" ⚠️ Could not parse precommit response as JSON")
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else:
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self.logger.warning(" ⚠️ Precommit tool failed to respond")
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# Test 2: Other tools that use files parameter
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tools_to_test = [
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(
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"chat",
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{
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"prompt": "Please use low thinking mode. Analyze this config file",
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"files": [validation_file],
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"model": "flash",
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}, # Using absolute path
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),
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(
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"codereview",
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{
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"files": [validation_file],
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"prompt": "Please use low thinking mode. Review this configuration",
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"model": "flash",
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}, # Using absolute path
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),
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("analyze", {"files": [validation_file], "analysis_type": "code_quality", "model": "flash"}), # Using absolute path
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]
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for tool_name, params in tools_to_test:
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self.logger.info(f" 2.{tool_name}: Testing {tool_name} tool content duplication")
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response, _ = self.call_mcp_tool(tool_name, params)
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if response:
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try:
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response_data = json.loads(response)
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content = response_data.get("content", "")
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# Check for duplication
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marker_count = content.count("UNIQUE_VALIDATION_MARKER")
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if marker_count > 1:
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self.logger.error(
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f" ❌ Content duplication in {tool_name}: marker appears {marker_count} times"
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)
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return False
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else:
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self.logger.info(f" ✅ No content duplication in {tool_name}")
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except json.JSONDecodeError:
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self.logger.warning(f" ⚠️ Could not parse {tool_name} response")
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else:
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self.logger.warning(f" ⚠️ {tool_name} tool failed to respond")
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# Test 3: Cross-tool content validation with file deduplication
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self.logger.info(" 3: Testing cross-tool content consistency")
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# Test 2: Continuation with same file (should be deduplicated)
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self.logger.info(" 2: Testing continuation with same file")
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if thread_id:
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# Continue conversation with same file - content should be deduplicated in conversation history
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response2, _ = self.call_mcp_tool(
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"chat",
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{
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"prompt": "Please use low thinking mode. Continue analyzing this configuration file",
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"prompt": "Continue analyzing this configuration file",
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"files": [validation_file], # Same file should be deduplicated
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"continuation_id": thread_id,
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"model": "flash",
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@@ -170,28 +112,84 @@ DATABASE_CONFIG = {
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)
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if response2:
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try:
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response_data = json.loads(response2)
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content = response_data.get("content", "")
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self.logger.info(" ✅ Continuation with same file completed")
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else:
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self.logger.warning(" ⚠️ Continuation failed")
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# In continuation, the file content shouldn't be duplicated either
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marker_count = content.count("UNIQUE_VALIDATION_MARKER")
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if marker_count > 1:
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self.logger.error(
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f" ❌ Content duplication in cross-tool continuation: marker appears {marker_count} times"
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)
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return False
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else:
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self.logger.info(" ✅ No content duplication in cross-tool continuation")
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# Test 3: Different tool with same file (new conversation)
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self.logger.info(" 3: Testing different tool with same file")
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except json.JSONDecodeError:
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self.logger.warning(" ⚠️ Could not parse continuation response")
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response3, _ = self.call_mcp_tool(
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"codereview",
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{
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"files": [validation_file],
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"prompt": "Review this configuration file",
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"model": "flash",
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},
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)
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if response3:
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self.logger.info(" ✅ Different tool with same file completed")
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else:
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self.logger.warning(" ⚠️ Different tool failed")
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# Validate file processing behavior from Docker logs
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self.logger.info(" 4: Validating file processing logs")
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logs = self.get_docker_logs_since(start_time)
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# Check for proper file embedding logs
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embedding_logs = [
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line for line in logs.split("\n")
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if "📁" in line or "embedding" in line.lower() or "[FILES]" in line
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]
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# Check for deduplication evidence
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deduplication_logs = [
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line for line in logs.split("\n")
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if "skipping" in line.lower() and "already in conversation" in line.lower()
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]
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# Check for file processing patterns
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new_file_logs = [
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line for line in logs.split("\n")
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if "all 1 files are new" in line or "New conversation" in line
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]
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# Validation criteria
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validation_file_mentioned = any("validation_config.py" in line for line in logs.split("\n"))
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embedding_found = len(embedding_logs) > 0
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proper_deduplication = len(deduplication_logs) > 0 or len(new_file_logs) >= 2 # Should see new conversation patterns
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self.logger.info(f" 📊 Embedding logs found: {len(embedding_logs)}")
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self.logger.info(f" 📊 Deduplication evidence: {len(deduplication_logs)}")
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self.logger.info(f" 📊 New conversation patterns: {len(new_file_logs)}")
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self.logger.info(f" 📊 Validation file mentioned: {validation_file_mentioned}")
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# Log sample evidence for debugging
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if self.verbose and embedding_logs:
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self.logger.debug(" 📋 Sample embedding logs:")
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for log in embedding_logs[:5]:
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self.logger.debug(f" {log}")
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# Success criteria
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success_criteria = [
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("Embedding logs found", embedding_found),
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("File processing evidence", validation_file_mentioned),
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("Multiple tool calls", len(new_file_logs) >= 2)
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]
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passed_criteria = sum(1 for _, passed in success_criteria if passed)
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self.logger.info(f" 📊 Success criteria met: {passed_criteria}/{len(success_criteria)}")
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# Cleanup
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os.remove(validation_file)
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self.logger.info(" ✅ All content validation tests passed")
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return True
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if passed_criteria >= 2: # At least 2 out of 3 criteria
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self.logger.info(" ✅ File processing validation passed")
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return True
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else:
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self.logger.error(" ❌ File processing validation failed")
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return False
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except Exception as e:
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self.logger.error(f"Content validation test failed: {e}")
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