Power Abuse Analyzer

Identifying subtle forms of abuse, manipulation, and problematic language from powerful figures

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About This Tool

\n This analyzer identifies subtle forms of abuse from people in positions of power.\n

\n It looks for patterns such as gaslighting, reality distortion, subtle threats, blame-shifting, and other manipulative tactics.\n

\n Note: This tool provides analysis based on AI pattern recognition and should be used as one input among many when evaluating communication.\n

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Welcome to the Power Abuse Analyzer. I can help you identify subtle forms of abuse, manipulation, and problematic language from powerful figures.

You can:

Enter any text for analysis
Ask me to analyze statements from known figures like Steve Jobs or Ray Dalio
Request examples of specific abuse patterns
Add your own examples to identified patterns
Save and continue conversations about specific patterns

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\n You can add examples or ask questions about this pattern\n

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Identified Patterns

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\n\n \n \n\n \n \n\n \n\n",[],[152,171],[152],{"_104":181,"_95":182,"_153":183,"_155":-5,"_156":138,"_157":184,"_159":160,"_106":185,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":186,"_98":284},"35db68c6-36bf-11f0-82f4-9e149126039e","src","7018fb7c-72a1-4a9d-977c-24cc9d41a7bd",21,["D",1747885531865],[187,204,238,253,277],{"_104":188,"_95":189,"_153":190,"_155":183,"_156":138,"_157":191,"_159":160,"_106":192,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":193,"_98":203},"8ec635ce-36bf-11f0-8e76-9e149126039e","analyzer","434e911f-c8cd-4f36-b84d-6885a1ac76d6",25,["D",1747885681040],[194],{"_104":195,"_95":196,"_153":197,"_155":190,"_156":138,"_157":191,"_159":22,"_106":198,"_100":32,"_162":199,"_164":200,"_165":22,"_166":-5,"_167":201,"_98":202},"8ec60770-36bf-11f0-8e76-9e149126039e","index.ts","8ec60838-36bf-11f0-8e76-9e149126039e",["D",1747885681040],"script","import { OpenAI } from \"https://esm.town/v/std/openai\";\nimport logger from '../utils/logger';\nimport { AnalysisError } from '../utils/error-handler';\n\n// Create a logger for the analyzer\nconst log = logger.createLogger('Analyzer');\n\n// Initialize OpenAI client\nconst openai = new OpenAI();\n\n// Types for our application\nexport interface AnalysisRequest {\n text: string;\n context?: string; // Optional context about the source\n isQuestion?: boolean; // Whether this is a question rather than text to analyze\n}\n\nexport interface AnalysisResult {\n abusivePatterns: {\n pattern: string;\n explanation: string;\n severity: \"subtle\" | \"moderate\" | \"overt\";\n confidence: number;\n examples: string[];\n }[];\n overallAssessment: string;\n suggestedResponses?: string[];\n}\n\n// Known examples of powerful figures and their problematic language patterns\nconst knownExamples = {\n \"steve jobs\": {\n context: \"Steve Jobs was the co-founder and CEO of Apple Inc.\",\n examples: [\n \"Jobs was known for his 'reality distortion field' where he would convince employees that impossible deadlines were achievable.\",\n \"He would often tell engineers their work was 'garbage' even when it met industry standards.\",\n \"Jobs would sometimes publicly humiliate employees in meetings, calling their ideas 'stupid' or 'worthless'.\",\n \"He would take credit for others' ideas while dismissing their contributions.\",\n \"Jobs would use phrases like 'This is the worst thing I've ever seen' to manipulate employees into constant revisions.\"\n ]\n },\n \"ray dalio\": {\n context: \"Ray Dalio is the founder of Bridgewater Associates, the world's largest hedge fund.\",\n examples: [\n \"Dalio's 'radical transparency' approach involved employees constantly rating and criticizing each other.\",\n \"He would often publicly rank people's contributions in meetings with statements like 'That's a C- comment'.\",\n \"When employees expressed discomfort with his methods, he would say they were 'too weak' or their 'amygdala was hijacking their prefrontal cortex'.\",\n \"He created an environment where he could criticize anyone, but questioning his methods was labeled as 'not getting it'.\",\n \"Dalio would frame his controlling management style as necessary for 'personal growth' and 'evolution'.\"\n ]\n }\n};\n\n/**\n * Analyzes text for subtle forms of abuse, manipulation, or problematic language\n * from powerful figures using OpenAI's capabilities.\n */\nexport async function analyzeText(text: string, context?: string): Promise {\n log.info(\"Analyzing text\", { textLength: text.length, hasContext: !!context });\n \n const systemPrompt = `You are an expert in identifying subtle forms of abuse, manipulation, and problematic language from powerful people. \nYour task is to analyze the provided text and identify patterns that may indicate:\n\n1. Gaslighting or reality distortion - Manipulating someone into questioning their own reality, memory or perceptions\n2. Subtle threats or intimidation - Implied consequences without explicit threats\n3. Minimization of harm - Downplaying the negative impact of actions or decisions\n4. Shifting blame to victims - Making those harmed responsible for their own suffering\n5. Appeals to authority or expertise to silence criticism - Using position or credentials to avoid accountability\n6. False equivalencies - Comparing unrelated situations to normalize problematic behavior\n7. Dehumanizing language - Subtle ways of reducing people to objects, functions, or stereotypes\n8. Plausible deniability tactics - Crafting statements that can be defended as innocent if challenged\n9. Coded language that signals to specific groups - Using terms with special meaning to certain audiences\n10. Misuse of institutional power - Leveraging organizational structures to enable abuse\n11. Intellectual intimidation - Using complex frameworks or jargon to make others feel inferior\n12. Benevolent authoritarianism - Framing controlling behavior as being \"for your own good\"\n13. Selective meritocracy - Claiming decisions are based on merit when they actually favor those who conform\n14. Institutional shield - Using organizational policies or culture as a shield for personal abusive behavior\n\nFocus on SUBTLE and COVERT forms of these patterns that might not be immediately obvious.\nFor each identified pattern, provide:\n- A clear explanation of the pattern\n- The severity (subtle, moderate, or overt)\n- Your confidence level (0.0-1.0)\n- Specific examples from the text\n\nIf no problematic patterns are found, state so clearly.\nProvide an overall assessment of the text.\nIf appropriate, suggest constructive responses or ways to address the problematic language.\n\nFormat your response with clear headings for each pattern and section to make it easily parseable.`;\n\n const userPrompt = context \n ? `Text to analyze: \"${text}\"\\n\\nContext: ${context}`\n : `Text to analyze: \"${text}\"`;\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt }\n ],\n temperature: 0.2, // Lower temperature for more consistent analysis\n });\n\n const analysisText = completion.choices[0]?.message?.content || \"\";\n log.debug(\"Received analysis response\", { responseLength: analysisText.length });\n \n // Process the AI response into our structured format\n return processAIResponse(analysisText);\n } catch (error) {\n log.error(\"Error analyzing text:\", error);\n throw new AnalysisError(\"Failed to analyze text. Please try again later.\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Handles questions about power abuse patterns or specific powerful figures\n */\nexport async function handleQuestion(question: string): Promise {\n log.info(\"Handling question\", { questionLength: question.length });\n \n // Check if the question is about a known figure\n const lowerQuestion = question.toLowerCase();\n let knownFigure = null;\n \n for (const figure in knownExamples) {\n if (lowerQuestion.includes(figure)) {\n knownFigure = figure;\n break;\n }\n }\n \n if (knownFigure) {\n log.info(`Question about known figure: ${knownFigure}`);\n const figureInfo = knownExamples[knownFigure as keyof typeof knownExamples];\n const exampleText = figureInfo.examples.join(\" \");\n return analyzeText(exampleText, figureInfo.context);\n }\n \n // For general questions about power abuse\n const systemPrompt = `You are an expert in identifying and explaining subtle forms of abuse, manipulation, and problematic language from powerful people.\nYour task is to answer questions about power dynamics, abuse patterns, and how to identify problematic behavior from people in positions of authority.\n\nFocus on being educational and informative. Provide concrete examples where appropriate.\nIf asked about specific powerful figures, provide balanced analysis based on well-documented behaviors.\n\nFormat your response with clear headings and sections to make it easily readable.`;\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: question }\n ],\n temperature: 0.3,\n });\n\n const responseText = completion.choices[0]?.message?.content || \"\";\n log.debug(\"Received question response\", { responseLength: responseText.length });\n \n // Create a simplified result structure for questions\n return {\n abusivePatterns: [],\n overallAssessment: responseText\n };\n } catch (error) {\n log.error(\"Error handling question:\", error);\n throw new AnalysisError(\"Failed to process your question. Please try again later.\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Handles follow-up questions about specific patterns\n */\nexport async function handlePatternFollowUp(\n pattern: {\n pattern_type: string;\n explanation: string;\n severity: string;\n confidence: number;\n },\n examples: { example_text: string; user_provided: boolean }[],\n question: string\n): Promise {\n log.info(\"Handling pattern follow-up\", { \n pattern: pattern.pattern_type, \n questionLength: question.length,\n examplesCount: examples.length\n });\n \n // Create a prompt for the follow-up\n const examplesText = examples\n .map(ex => `- ${ex.example_text}${ex.user_provided ? \" (user provided)\" : \"\"}`)\n .join(\"\\n\");\n \n const systemPrompt = `You are an expert in identifying and explaining patterns of subtle abuse, manipulation, and problematic language from powerful people.\n \nA user has previously identified the following pattern in some text:\n\nPattern: ${pattern.pattern_type}\nExplanation: ${pattern.explanation}\nSeverity: ${pattern.severity}\nConfidence: ${pattern.confidence}\n\nExamples of this pattern:\n${examplesText}\n\nThe user is now asking a follow-up question or providing additional information about this pattern.\nIf they are providing a new example, acknowledge it and explain how it fits the pattern.\nIf they are asking a question, provide a detailed, educational response about this specific pattern.\nFocus on being helpful, informative, and sensitive to the nuances of power dynamics.`;\n\n try {\n // Generate a response using OpenAI\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: question }\n ],\n temperature: 0.3,\n });\n\n const response = completion.choices[0]?.message?.content || \"I'm sorry, I couldn't process your message.\";\n log.debug(\"Received pattern follow-up response\", { responseLength: response.length });\n \n return response;\n } catch (error) {\n log.error(\"Error handling pattern follow-up:\", error);\n throw new AnalysisError(\"Failed to process your follow-up question. Please try again later.\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Processes the raw AI response into a structured format\n */\nexport function processAIResponse(aiResponse: string): AnalysisResult {\n log.debug(\"Processing AI response\", { responseLength: aiResponse.length });\n \n // Extract patterns using regex or other parsing methods\n const patterns = extractPatterns(aiResponse);\n \n // Extract overall assessment\n const overallAssessment = extractOverallAssessment(aiResponse);\n \n // Extract suggested responses if any\n const suggestedResponses = extractSuggestedResponses(aiResponse);\n \n log.debug(\"Processed AI response\", { \n patternsCount: patterns.length, \n hasOverallAssessment: !!overallAssessment,\n suggestedResponsesCount: suggestedResponses.length\n });\n \n return {\n abusivePatterns: patterns,\n overallAssessment,\n suggestedResponses: suggestedResponses.length > 0 ? suggestedResponses : undefined,\n };\n}\n\n/**\n * Extracts pattern information from AI response\n */\nfunction extractPatterns(aiResponse: string): AnalysisResult[\"abusivePatterns\"] {\n const patterns: AnalysisResult[\"abusivePatterns\"] = [];\n \n // Look for pattern sections in the response\n // Updated regex to better capture multiline explanations and examples\n const patternRegex = /(?:Pattern|Type):\\s*([^\\n]+)(?:\\n|.)*?Explanation:\\s*((?:[^\\n]+(?:\\n(?!(?:Severity|Confidence|Examples?):)[^\\n]+)*))(?:\\n|.)*?Severity:\\s*([^\\n]+)(?:\\n|.)*?Confidence:\\s*([0-9.]+)(?:\\n|.)*?Examples?:\\s*((?:[^\\n]+(?:\\n(?!(?:Pattern|Type|Overall|Suggested):)[^\\n]+)*))/gi;\n \n let match;\n while ((match = patternRegex.exec(aiResponse)) !== null) {\n const [_, pattern, explanation, severityRaw, confidenceRaw, examplesRaw] = match;\n \n // Normalize severity\n let severity: \"subtle\" | \"moderate\" | \"overt\" = \"subtle\";\n if (severityRaw.toLowerCase().includes(\"moderate\")) {\n severity = \"moderate\";\n } else if (severityRaw.toLowerCase().includes(\"overt\")) {\n severity = \"overt\";\n }\n \n // Parse confidence\n const confidence = parseFloat(confidenceRaw) || 0.5;\n \n // Split examples\n const examples = examplesRaw\n .split(/\\n|;|(?:\\d+\\.)/)\n .map(ex => ex.trim())\n .filter(ex => ex.length > 0);\n \n patterns.push({\n pattern,\n explanation,\n severity,\n confidence,\n examples,\n });\n }\n \n // If no patterns were found but there's content, create a generic entry\n if (patterns.length === 0 && aiResponse.length > 50) {\n // Check if the response indicates no problematic patterns\n if (aiResponse.toLowerCase().includes(\"no problematic patterns\") || \n aiResponse.toLowerCase().includes(\"i did not identify\") ||\n aiResponse.toLowerCase().includes(\"did not find\")) {\n // Return empty array for no patterns\n return [];\n }\n \n // Otherwise create a generic entry with the full response\n return [{\n pattern: \"Analysis\",\n explanation: \"See overall assessment for details\",\n severity: \"subtle\",\n confidence: 0.5,\n examples: [aiResponse.substring(0, 100) + \"...\"]\n }];\n }\n \n return patterns;\n}\n\n/**\n * Extracts overall assessment from AI response\n */\nfunction extractOverallAssessment(aiResponse: string): string {\n // Look for overall assessment section\n const overallRegex = /(?:Overall Assessment|Overall|Summary):\\s*((?:[^\\n]+(?:\\n(?!(?:Pattern|Type|Suggested):)[^\\n]+)*))/i;\n const match = overallRegex.exec(aiResponse);\n \n if (match && match[1]) {\n return match[1].trim();\n }\n \n // If no specific overall assessment section, return a portion of the response\n return aiResponse.substring(0, Math.min(300, aiResponse.length)) + \n (aiResponse.length > 300 ? \"...\" : \"\");\n}\n\n/**\n * Extracts suggested responses from AI response\n */\nfunction extractSuggestedResponses(aiResponse: string): string[] {\n // Look for suggested responses section\n const responsesRegex = /(?:Suggested Responses|Responses|How to Respond):\\s*((?:[^\\n]+(?:\\n(?!(?:Pattern|Type|Overall):)[^\\n]+)*))/i;\n const match = responsesRegex.exec(aiResponse);\n \n if (match && match[1]) {\n return match[1]\n .split(/\\n|;|(?:\\d+\\.)/)\n .map(response => response.trim())\n .filter(response => response.length > 0);\n }\n \n return [];\n}\n\n/**\n * Helper function to determine if text is a question\n */\nexport function isQuestion(text: string): boolean {\n // Check if text ends with a question mark\n if (text.trim().endsWith('?')) return true;\n \n // Check for question words at the beginning\n const questionStarters = ['what', 'how', 'why', 'can you', 'could you', 'would you', 'will you', 'analyze', 'explain', 'tell me'];\n const lowerText = text.toLowerCase();\n return questionStarters.some(starter => lowerText.startsWith(starter));\n}",[],[182,189,196],[182,189],{"_104":205,"_95":206,"_153":207,"_155":183,"_156":138,"_157":208,"_159":160,"_106":209,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":210,"_98":237},"a5b5dcd0-36bf-11f0-840e-9e149126039e","api","ba930488-f272-4fbf-b71f-cd92c6463bfa",27,["D",1747885719524],[211,220,228],{"_104":212,"_95":213,"_153":214,"_155":207,"_156":138,"_157":215,"_159":22,"_106":216,"_100":32,"_162":199,"_164":217,"_165":22,"_166":-5,"_167":218,"_98":219},"c0fee2ac-36bf-11f0-840e-9e149126039e","chat-api.ts","c0fee36a-36bf-11f0-840e-9e149126039e",28,["D",1747885765303],"import { OpenAI } from \"https://esm.town/v/std/openai\";\nimport * as db from \"../database/index.ts\";\nimport { analyzeText } from \"../analyzer/index.ts\";\nimport { handlePatternFollowUp } from \"../analyzer/index.ts\";\nimport logger from '../utils/logger';\nimport { createErrorResponse, APIError, ValidationError } from '../utils/error-handler';\n\n// Create a logger for the API\nconst log = logger.createLogger('API:ChatAPI');\n\n// Initialize OpenAI client\nconst openai = new OpenAI();\n\n// Initialize database\nawait db.initDatabase();\n\n// Types for our API\ninterface ChatRequest {\n action: string;\n session_id?: string;\n message?: string;\n title?: string;\n pattern_id?: number;\n example?: string;\n pattern_type?: string;\n parent_id?: number;\n}\n\ninterface ChatResponse {\n success: boolean;\n data?: any;\n error?: string;\n}\n\n/**\n * Process a chat message and generate a response\n */\nasync function processMessage(\n session_id: string,\n message: string,\n parent_id?: number,\n pattern_id?: number\n): Promise<{\n response: string;\n patterns: db.Pattern[];\n html_response: string;\n}> {\n try {\n log.info(\"Processing message\", { \n session_id, \n messageLength: message.length,\n hasParent: !!parent_id,\n hasPattern: !!pattern_id\n });\n \n // If this is a follow-up to a pattern, handle it differently\n if (pattern_id) {\n return await processPatternFollowUp(session_id, message, pattern_id);\n }\n \n // Regular message analysis\n const analysisResult = await analyzeText(message);\n \n // Store identified patterns in the database\n const messageId = await db.addMessage(session_id, message, \"user\", parent_id);\n const storedPatterns: db.Pattern[] = [];\n \n for (const pattern of analysisResult.abusivePatterns) {\n const patternId = await db.addPattern(\n session_id,\n messageId,\n pattern.pattern,\n pattern.explanation,\n pattern.severity,\n pattern.confidence\n );\n \n // Store examples\n for (const example of pattern.examples) {\n await db.addExample(patternId, example, false);\n }\n \n // Get the pattern with examples\n const storedPattern = await db.getPatternWithExamples(patternId);\n if (storedPattern) {\n storedPatterns.push(storedPattern);\n }\n }\n \n // Format HTML response\n const htmlResponse = formatHtmlResponse(analysisResult, storedPatterns);\n \n // Store bot response\n await db.addMessage(session_id, analysisResult.overallAssessment, \"bot\", messageId);\n \n log.info(\"Message processed successfully\", { \n session_id,\n patternsCount: storedPatterns.length\n });\n \n return {\n response: analysisResult.overallAssessment,\n patterns: storedPatterns,\n html_response: htmlResponse\n };\n } catch (error) {\n log.error(\"Error processing message:\", error);\n throw new Error(\"Failed to process message\");\n }\n}\n\n/**\n * Process a follow-up message about a specific pattern\n */\nasync function processPatternFollowUp(\n session_id: string,\n message: string,\n pattern_id: number\n): Promise<{\n response: string;\n patterns: db.Pattern[];\n html_response: string;\n}> {\n // Get the pattern with examples\n const pattern = await db.getPatternWithExamples(pattern_id);\n \n if (!pattern) {\n log.error(`Pattern not found: ${pattern_id}`);\n throw new Error(\"Pattern not found\");\n }\n \n log.info(\"Processing pattern follow-up\", { \n session_id, \n pattern_id,\n pattern_type: pattern.pattern_type\n });\n \n // Store user message\n const messageId = await db.addMessage(\n session_id,\n message,\n \"user\",\n undefined,\n pattern_id\n );\n \n // Check if the message contains new examples\n const isAddingExample = message.toLowerCase().includes(\"example\") || \n message.toLowerCase().includes(\"instance\") ||\n message.toLowerCase().includes(\"case\");\n \n if (isAddingExample) {\n // Add as a new example\n await db.addExample(pattern_id, message, true);\n log.info(\"Added user-provided example\", { pattern_id });\n }\n \n // Get all examples for this pattern\n const examples = await db.getPatternExamples(pattern_id);\n \n // Generate a response using the analyzer\n const response = await handlePatternFollowUp(\n pattern,\n examples,\n message\n );\n \n // Store bot response\n await db.addMessage(session_id, response, \"bot\", messageId, pattern_id);\n \n // Format HTML response\n const htmlResponse = `\n

Follow-up on pattern: ${pattern.pattern_type}

${response}

\n `;\n \n log.info(\"Pattern follow-up processed successfully\", { \n session_id,\n pattern_id\n });\n \n return {\n response,\n patterns: [pattern],\n html_response: htmlResponse\n };\n}\n\n/**\n * Format HTML response for the frontend\n */\nfunction formatHtmlResponse(analysisResult: any, patterns: db.Pattern[]): string {\n let html = `

Analysis Results:

`;\n \n if (patterns.length > 0) {\n patterns.forEach(pattern => {\n html += `\n

${pattern.pattern_type}

\n Confidence: ${Math.round(pattern.confidence * 100)}%\n

${pattern.explanation}

\n ${pattern.examples && pattern.examples.length > 0 ? \n `

Examples:

${ex.example_text}${ex.user_provided ? ' (user provided)' : ''}

` : ''\n }\n \n

\n `;\n });\n } else {\n html += `

No problematic patterns were identified in this text.

`;\n }\n \n html += `

Overall Assessment:

${analysisResult.overallAssessment}

`;\n \n if (analysisResult.suggestedResponses && analysisResult.suggestedResponses.length > 0) {\n html += `\n

Suggested Responses:

${response}

\n `;\n }\n \n return html;\n}\n\n/**\n * HTTP handler for the chat API\n */\nexport default async function(req: Request): Promise {\n // Handle OPTIONS request for CORS\n if (req.method === \"OPTIONS\") {\n return new Response(null, {\n headers: {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n },\n });\n }\n \n // Only accept POST requests\n if (req.method !== \"POST\") {\n log.warn(\"Method not allowed\", { method: req.method });\n return new Response(JSON.stringify({ \n success: false, \n error: \"Method not allowed\" \n }), {\n status: 405,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n });\n }\n \n try {\n // Parse request body\n const body = await req.json() as ChatRequest;\n \n if (!body.action) {\n log.warn(\"Invalid request - missing action\");\n throw new ValidationError(\"Action is required\");\n }\n \n log.info(\"Processing chat API request\", { action: body.action });\n \n let response: ChatResponse;\n \n switch (body.action) {\n case \"create_session\":\n if (!body.title) {\n throw new ValidationError(\"Title is required\");\n }\n \n const session = await db.createSession(body.title);\n response = { success: true, data: session };\n break;\n \n case \"get_session\":\n if (!body.session_id) {\n throw new ValidationError(\"Session ID is required\");\n }\n \n const sessionData = await db.getSession(body.session_id);\n \n if (!sessionData) {\n throw new APIError(\"Session not found\", 404);\n }\n \n const messages = await db.getSessionMessages(body.session_id);\n const patterns = await db.getSessionPatternsWithExamples(body.session_id);\n \n response = { \n success: true, \n data: { \n session: sessionData, \n messages, \n patterns \n } \n };\n break;\n \n case \"get_all_sessions\":\n const sessions = await db.getAllSessions();\n response = { success: true, data: sessions };\n break;\n \n case \"send_message\":\n if (!body.session_id || !body.message) {\n throw new ValidationError(\"Session ID and message are required\");\n }\n \n const messageResponse = await processMessage(\n body.session_id, \n body.message,\n body.parent_id,\n body.pattern_id\n );\n \n response = { success: true, data: messageResponse };\n break;\n \n case \"add_example\":\n if (!body.pattern_id || !body.example) {\n throw new ValidationError(\"Pattern ID and example are required\");\n }\n \n const exampleId = await db.addExample(body.pattern_id, body.example, true);\n const updatedPattern = await db.getPatternWithExamples(body.pattern_id);\n \n response = { success: true, data: { example_id: exampleId, pattern: updatedPattern } };\n break;\n \n case \"get_pattern\":\n if (!body.pattern_id) {\n throw new ValidationError(\"Pattern ID is required\");\n }\n \n const pattern = await db.getPatternWithExamples(body.pattern_id);\n \n if (!pattern) {\n throw new APIError(\"Pattern not found\", 404);\n }\n \n response = { success: true, data: pattern };\n break;\n \n case \"search_patterns\":\n if (!body.session_id || !body.pattern_type) {\n throw new ValidationError(\"Session ID and pattern type are required\");\n }\n \n const patterns = await db.getPatternsByType(body.session_id, body.pattern_type);\n response = { success: true, data: patterns };\n break;\n \n case \"update_session_title\":\n if (!body.session_id || !body.title) {\n throw new ValidationError(\"Session ID and title are required\");\n }\n \n await db.updateSessionTitle(body.session_id, body.title);\n const updatedSession = await db.getSession(body.session_id);\n \n response = { success: true, data: updatedSession };\n break;\n \n case \"delete_session\":\n if (!body.session_id) {\n throw new ValidationError(\"Session ID is required\");\n }\n \n await db.deleteSession(body.session_id);\n response = { success: true };\n break;\n \n default:\n log.warn(\"Unknown action\", { action: body.action });\n throw new ValidationError(\"Unknown action\");\n }\n \n log.info(\"Request processed successfully\", { action: body.action });\n \n return new Response(JSON.stringify(response), {\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n });\n } catch (error) {\n log.error(\"Error processing request:\", error);\n return createErrorResponse(error, \"Failed to process request\");\n }\n}",[],[182,206,213],{"_104":221,"_95":222,"_153":223,"_155":207,"_156":138,"_157":208,"_159":22,"_106":224,"_100":32,"_162":199,"_164":225,"_165":22,"_166":-5,"_167":226,"_98":227},"a5b5c132-36bf-11f0-840e-9e149126039e","power-abuse-analyzer.ts","a5b5c1d2-36bf-11f0-840e-9e149126039e",["D",1747885719524],"import { analyzeText, handleQuestion, isQuestion, AnalysisRequest } from '../analyzer/index.ts';\nimport logger from '../utils/logger';\nimport { createErrorResponse, APIError } from '../utils/error-handler';\n\n// Create a logger for the API\nconst log = logger.createLogger('API:PowerAbuseAnalyzer');\n\n/**\n * HTTP handler for the power abuse analyzer\n */\nexport default async function(req: Request): Promise {\n // Handle OPTIONS request for CORS\n if (req.method === \"OPTIONS\") {\n return new Response(null, {\n headers: {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n },\n });\n }\n \n // Only accept POST requests\n if (req.method !== \"POST\") {\n log.warn(\"Method not allowed\", { method: req.method });\n return new Response(JSON.stringify({ error: \"Method not allowed\" }), {\n status: 405,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n });\n }\n \n try {\n // Parse request body\n const body = await req.json() as AnalysisRequest;\n \n if (!body.text || typeof body.text !== \"string\") {\n log.warn(\"Invalid request - missing text\");\n throw new APIError(\"Text is required\", 400);\n }\n \n log.info(\"Processing analysis request\", { \n textLength: body.text.length,\n hasContext: !!body.context,\n isQuestion: body.isQuestion\n });\n \n let result;\n \n // Determine if this is a question or text for analysis\n if (body.isQuestion || isQuestion(body.text)) {\n result = await handleQuestion(body.text);\n } else {\n // Analyze the text\n result = await analyzeText(body.text, body.context);\n }\n \n log.info(\"Analysis completed successfully\", { \n patternsCount: result.abusivePatterns.length,\n hasResponses: !!result.suggestedResponses\n });\n \n // Return the analysis result\n return new Response(JSON.stringify(result), {\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n });\n } catch (error) {\n log.error(\"Error processing request:\", error);\n return createErrorResponse(error, \"Failed to process request\");\n }\n}",[],[182,206,222],{"_104":229,"_95":230,"_153":231,"_155":207,"_156":138,"_157":232,"_159":22,"_106":233,"_100":32,"_162":199,"_164":234,"_165":22,"_166":-5,"_167":235,"_98":236},"c99e9416-36bf-11f0-a92a-9e149126039e","static-file-server.ts","c99e9588-36bf-11f0-a92a-9e149126039e",29,["D",1747885779769],"import { readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport logger from '../utils/logger';\nimport { createErrorResponse, APIError } from '../utils/error-handler';\n\n// Create a logger for the API\nconst log = logger.createLogger('API:StaticFileServer');\n\n/**\n * Simple static file server for the Power Abuse Analyzer frontend\n */\nexport default async function(req: Request): Promise {\n try {\n const url = new URL(req.url);\n let path = url.pathname;\n \n log.info(\"Serving file\", { path });\n \n // Default to index.html for root path\n if (path === \"/\" || path === \"\") {\n path = \"/frontend/index.html\";\n } else if (!path.startsWith(\"/frontend/\")) {\n // Redirect non-frontend paths to the frontend directory\n log.info(\"Redirecting to frontend\", { originalPath: path });\n return new Response(null, {\n status: 302,\n headers: {\n Location: \"/frontend/index.html\"\n }\n });\n }\n \n try {\n // Read the file content\n const content = await readFile(path, import.meta.url);\n \n // Set appropriate content type based on file extension\n const contentType = getContentType(path);\n \n log.debug(\"File served successfully\", { path, contentType });\n \n return new Response(content, {\n headers: {\n \"Content-Type\": contentType,\n \"Cache-Control\": \"max-age=3600\"\n }\n });\n } catch (error) {\n log.error(`Error serving file ${path}:`, error);\n throw new APIError(\"File not found\", 404);\n }\n } catch (error) {\n log.error(\"Error in static file server:\", error);\n return createErrorResponse(error, \"Failed to serve file\");\n }\n}\n\n/**\n * Get content type based on file extension\n */\nfunction getContentType(path: string): string {\n const extension = path.split('.').pop()?.toLowerCase();\n \n switch (extension) {\n case 'html':\n return 'text/html; charset=utf-8';\n case 'css':\n return 'text/css; charset=utf-8';\n case 'js':\n return 'application/javascript; charset=utf-8';\n case 'json':\n return 'application/json; charset=utf-8';\n case 'png':\n return 'image/png';\n case 'jpg':\n case 'jpeg':\n return 'image/jpeg';\n case 'svg':\n return 'image/svg+xml';\n default:\n return 'text/plain; charset=utf-8';\n }\n}",[],[182,206,230],[182,206],{"_104":239,"_95":240,"_153":241,"_155":183,"_156":138,"_157":242,"_159":160,"_106":243,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":244,"_98":252},"5c7b5338-36bf-11f0-83f3-9e149126039e","database","5ecbda08-fcb7-474f-81e9-fcc67f998e67",23,["D",1747885596668],[245],{"_104":246,"_95":196,"_153":247,"_155":241,"_156":138,"_157":242,"_159":22,"_106":248,"_100":32,"_162":199,"_164":249,"_165":22,"_166":-5,"_167":250,"_98":251},"5c7b3286-36bf-11f0-83f3-9e149126039e","5c7b334e-36bf-11f0-83f3-9e149126039e",["D",1747885596668],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport logger from '../utils/logger';\nimport { DatabaseError } from '../utils/error-handler';\n\n// Create a logger for database operations\nconst log = logger.createLogger('Database');\n\n// Table names - use versioning to allow for schema changes\nconst SESSIONS_TABLE = \"abuse_analyzer_sessions_v1\";\nconst MESSAGES_TABLE = \"abuse_analyzer_messages_v1\";\nconst PATTERNS_TABLE = \"abuse_analyzer_patterns_v1\";\nconst EXAMPLES_TABLE = \"abuse_analyzer_examples_v1\";\n\n// Types for our database entities\nexport interface Session {\n id: string;\n title: string;\n created_at: number;\n updated_at: number;\n}\n\nexport interface Message {\n id: number;\n session_id: string;\n content: string;\n sender: \"user\" | \"bot\";\n timestamp: number;\n parent_id?: number;\n pattern_id?: number;\n}\n\nexport interface Pattern {\n id: number;\n session_id: string;\n message_id: number;\n pattern_type: string;\n explanation: string;\n severity: \"subtle\" | \"moderate\" | \"overt\";\n confidence: number;\n examples?: Example[];\n}\n\nexport interface Example {\n id: number;\n pattern_id: number;\n example_text: string;\n user_provided: boolean;\n timestamp: number;\n}\n\n/**\n * Initialize database tables\n */\nexport async function initDatabase(): Promise {\n try {\n log.info(\"Initializing database tables\");\n \n // Create sessions table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${SESSIONS_TABLE} (\n id TEXT PRIMARY KEY,\n title TEXT NOT NULL,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL\n )\n `);\n\n // Create messages table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${MESSAGES_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id TEXT NOT NULL,\n content TEXT NOT NULL,\n sender TEXT NOT NULL,\n timestamp INTEGER NOT NULL,\n parent_id INTEGER,\n pattern_id INTEGER,\n FOREIGN KEY (session_id) REFERENCES ${SESSIONS_TABLE}(id),\n FOREIGN KEY (parent_id) REFERENCES ${MESSAGES_TABLE}(id),\n FOREIGN KEY (pattern_id) REFERENCES ${PATTERNS_TABLE}(id)\n )\n `);\n\n // Create patterns table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${PATTERNS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id TEXT NOT NULL,\n message_id INTEGER NOT NULL,\n pattern_type TEXT NOT NULL,\n explanation TEXT NOT NULL,\n severity TEXT NOT NULL,\n confidence REAL NOT NULL,\n FOREIGN KEY (session_id) REFERENCES ${SESSIONS_TABLE}(id),\n FOREIGN KEY (message_id) REFERENCES ${MESSAGES_TABLE}(id)\n )\n `);\n\n // Create examples table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${EXAMPLES_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n pattern_id INTEGER NOT NULL,\n example_text TEXT NOT NULL,\n user_provided BOOLEAN NOT NULL,\n timestamp INTEGER NOT NULL,\n FOREIGN KEY (pattern_id) REFERENCES ${PATTERNS_TABLE}(id)\n )\n `);\n \n log.info(\"Database tables initialized successfully\");\n } catch (error) {\n log.error(\"Failed to initialize database tables:\", error);\n throw new DatabaseError(\"Failed to initialize database\", error instanceof Error ? error : undefined);\n }\n}\n\n// Session operations\n/**\n * Create a new session\n */\nexport async function createSession(title: string): Promise {\n try {\n const id = crypto.randomUUID();\n const now = Date.now();\n \n await sqlite.execute(\n `INSERT INTO ${SESSIONS_TABLE} (id, title, created_at, updated_at) VALUES (?, ?, ?, ?)`,\n [id, title, now, now]\n );\n \n log.info(`Created new session: ${id} - ${title}`);\n \n return {\n id,\n title,\n created_at: now,\n updated_at: now\n };\n } catch (error) {\n log.error(`Failed to create session \"${title}\":`, error);\n throw new DatabaseError(\"Failed to create session\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get a session by ID\n */\nexport async function getSession(id: string): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${SESSIONS_TABLE} WHERE id = ?`,\n [id]\n );\n \n if (result.length === 0) {\n log.info(`Session not found: ${id}`);\n return null;\n }\n \n log.debug(`Retrieved session: ${id}`);\n return result[0] as Session;\n } catch (error) {\n log.error(`Failed to get session ${id}:`, error);\n throw new DatabaseError(\"Failed to get session\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Update a session's timestamp\n */\nexport async function updateSessionTimestamp(id: string): Promise {\n try {\n const now = Date.now();\n \n await sqlite.execute(\n `UPDATE ${SESSIONS_TABLE} SET updated_at = ? WHERE id = ?`,\n [now, id]\n );\n \n log.debug(`Updated timestamp for session: ${id}`);\n } catch (error) {\n log.error(`Failed to update session timestamp ${id}:`, error);\n throw new DatabaseError(\"Failed to update session timestamp\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get all sessions\n */\nexport async function getAllSessions(): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${SESSIONS_TABLE} ORDER BY updated_at DESC`\n );\n \n log.info(`Retrieved ${result.length} sessions`);\n return result as Session[];\n } catch (error) {\n log.error(\"Failed to get all sessions:\", error);\n throw new DatabaseError(\"Failed to get all sessions\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Update a session's title\n */\nexport async function updateSessionTitle(id: string, title: string): Promise {\n try {\n const now = Date.now();\n \n await sqlite.execute(\n `UPDATE ${SESSIONS_TABLE} SET title = ?, updated_at = ? WHERE id = ?`,\n [title, now, id]\n );\n \n log.info(`Updated title for session ${id}: ${title}`);\n } catch (error) {\n log.error(`Failed to update session title ${id}:`, error);\n throw new DatabaseError(\"Failed to update session title\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Delete a session and all related data\n */\nexport async function deleteSession(id: string): Promise {\n try {\n // Get all patterns for this session\n const patterns = await getSessionPatterns(id);\n \n // Delete examples for each pattern\n for (const pattern of patterns) {\n await sqlite.execute(\n `DELETE FROM ${EXAMPLES_TABLE} WHERE pattern_id = ?`,\n [pattern.id]\n );\n }\n \n // Delete patterns\n await sqlite.execute(\n `DELETE FROM ${PATTERNS_TABLE} WHERE session_id = ?`,\n [id]\n );\n \n // Delete messages\n await sqlite.execute(\n `DELETE FROM ${MESSAGES_TABLE} WHERE session_id = ?`,\n [id]\n );\n \n // Delete session\n await sqlite.execute(\n `DELETE FROM ${SESSIONS_TABLE} WHERE id = ?`,\n [id]\n );\n \n log.info(`Deleted session: ${id}`);\n } catch (error) {\n log.error(`Failed to delete session ${id}:`, error);\n throw new DatabaseError(\"Failed to delete session\", error instanceof Error ? error : undefined);\n }\n}\n\n// Message operations\n/**\n * Add a message to a session\n */\nexport async function addMessage(\n session_id: string,\n content: string,\n sender: \"user\" | \"bot\",\n parent_id?: number,\n pattern_id?: number\n): Promise {\n try {\n const timestamp = Date.now();\n \n const result = await sqlite.execute(\n `INSERT INTO ${MESSAGES_TABLE} (session_id, content, sender, timestamp, parent_id, pattern_id)\n VALUES (?, ?, ?, ?, ?, ?)\n RETURNING id`,\n [session_id, content, sender, timestamp, parent_id || null, pattern_id || null]\n );\n \n // Update session timestamp\n await updateSessionTimestamp(session_id);\n \n const messageId = result[0].id;\n log.debug(`Added message ${messageId} to session ${session_id}`);\n \n return messageId;\n } catch (error) {\n log.error(`Failed to add message to session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to add message\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get all messages for a session\n */\nexport async function getSessionMessages(session_id: string): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${MESSAGES_TABLE} WHERE session_id = ? ORDER BY timestamp ASC`,\n [session_id]\n );\n \n log.debug(`Retrieved ${result.length} messages for session ${session_id}`);\n return result as Message[];\n } catch (error) {\n log.error(`Failed to get messages for session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to get session messages\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get messages in a threaded conversation using recursive CTE\n */\nexport async function getThreadedMessages(session_id: string, root_message_id?: number): Promise {\n try {\n let query: string;\n let params: any[];\n \n if (root_message_id) {\n // Get a specific thread starting from root_message_id\n query = `\n WITH RECURSIVE thread AS (\n SELECT * FROM ${MESSAGES_TABLE} WHERE id = ?\n UNION ALL\n SELECT m.* FROM ${MESSAGES_TABLE} m\n JOIN thread t ON m.parent_id = t.id\n )\n SELECT * FROM thread WHERE session_id = ? ORDER BY timestamp ASC\n `;\n params = [root_message_id, session_id];\n } else {\n // Get all top-level messages and their threads\n query = `\n WITH RECURSIVE thread AS (\n SELECT * FROM ${MESSAGES_TABLE} WHERE session_id = ? AND parent_id IS NULL\n UNION ALL\n SELECT m.* FROM ${MESSAGES_TABLE} m\n JOIN thread t ON m.parent_id = t.id\n )\n SELECT * FROM thread ORDER BY timestamp ASC\n `;\n params = [session_id];\n }\n \n const result = await sqlite.execute(query, params);\n log.debug(`Retrieved ${result.length} threaded messages for session ${session_id}`);\n \n return result as Message[];\n } catch (error) {\n log.error(`Failed to get threaded messages for session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to get threaded messages\", error instanceof Error ? error : undefined);\n }\n}\n\n// Pattern operations\n/**\n * Add a pattern\n */\nexport async function addPattern(\n session_id: string,\n message_id: number,\n pattern_type: string,\n explanation: string,\n severity: \"subtle\" | \"moderate\" | \"overt\",\n confidence: number\n): Promise {\n try {\n const result = await sqlite.execute(\n `INSERT INTO ${PATTERNS_TABLE} (session_id, message_id, pattern_type, explanation, severity, confidence)\n VALUES (?, ?, ?, ?, ?, ?)\n RETURNING id`,\n [session_id, message_id, pattern_type, explanation, severity, confidence]\n );\n \n const patternId = result[0].id;\n log.debug(`Added pattern ${patternId} to session ${session_id}: ${pattern_type}`);\n \n return patternId;\n } catch (error) {\n log.error(`Failed to add pattern to session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to add pattern\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get all patterns for a session\n */\nexport async function getSessionPatterns(session_id: string): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${PATTERNS_TABLE} WHERE session_id = ?`,\n [session_id]\n );\n \n log.debug(`Retrieved ${result.length} patterns for session ${session_id}`);\n return result as Pattern[];\n } catch (error) {\n log.error(`Failed to get patterns for session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to get session patterns\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get a pattern by ID\n */\nexport async function getPattern(pattern_id: number): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${PATTERNS_TABLE} WHERE id = ?`,\n [pattern_id]\n );\n \n if (result.length === 0) {\n log.info(`Pattern not found: ${pattern_id}`);\n return null;\n }\n \n log.debug(`Retrieved pattern: ${pattern_id}`);\n return result[0] as Pattern;\n } catch (error) {\n log.error(`Failed to get pattern ${pattern_id}:`, error);\n throw new DatabaseError(\"Failed to get pattern\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get patterns by type\n */\nexport async function getPatternsByType(session_id: string, pattern_type: string): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${PATTERNS_TABLE} WHERE session_id = ? AND pattern_type LIKE ?`,\n [session_id, `%${pattern_type}%`]\n );\n \n log.debug(`Retrieved ${result.length} patterns of type \"${pattern_type}\" for session ${session_id}`);\n return result as Pattern[];\n } catch (error) {\n log.error(`Failed to get patterns by type for session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to get patterns by type\", error instanceof Error ? error : undefined);\n }\n}\n\n// Example operations\n/**\n * Add an example to a pattern\n */\nexport async function addExample(\n pattern_id: number,\n example_text: string,\n user_provided: boolean\n): Promise {\n try {\n const timestamp = Date.now();\n \n const result = await sqlite.execute(\n `INSERT INTO ${EXAMPLES_TABLE} (pattern_id, example_text, user_provided, timestamp)\n VALUES (?, ?, ?, ?)\n RETURNING id`,\n [pattern_id, example_text, user_provided, timestamp]\n );\n \n // Update the session timestamp for the pattern\n const pattern = await getPattern(pattern_id);\n if (pattern) {\n await updateSessionTimestamp(pattern.session_id);\n }\n \n const exampleId = result[0].id;\n log.debug(`Added example ${exampleId} to pattern ${pattern_id}`);\n \n return exampleId;\n } catch (error) {\n log.error(`Failed to add example to pattern ${pattern_id}:`, error);\n throw new DatabaseError(\"Failed to add example\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get examples for a pattern\n */\nexport async function getPatternExamples(pattern_id: number): Promise {\n try {\n const result = await sqlite.execute(\n `SELECT * FROM ${EXAMPLES_TABLE} WHERE pattern_id = ? ORDER BY timestamp ASC`,\n [pattern_id]\n );\n \n log.debug(`Retrieved ${result.length} examples for pattern ${pattern_id}`);\n return result as Example[];\n } catch (error) {\n log.error(`Failed to get examples for pattern ${pattern_id}:`, error);\n throw new DatabaseError(\"Failed to get pattern examples\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get a pattern with its examples\n */\nexport async function getPatternWithExamples(pattern_id: number): Promise {\n try {\n const pattern = await getPattern(pattern_id);\n \n if (!pattern) {\n return null;\n }\n \n const examples = await getPatternExamples(pattern_id);\n return {\n ...pattern,\n examples\n };\n } catch (error) {\n log.error(`Failed to get pattern with examples ${pattern_id}:`, error);\n throw new DatabaseError(\"Failed to get pattern with examples\", error instanceof Error ? error : undefined);\n }\n}\n\n/**\n * Get all patterns with their examples for a session\n */\nexport async function getSessionPatternsWithExamples(session_id: string): Promise {\n try {\n const patterns = await getSessionPatterns(session_id);\n \n const patternsWithExamples = await Promise.all(\n patterns.map(async (pattern) => {\n const examples = await getPatternExamples(pattern.id);\n return {\n ...pattern,\n examples\n };\n })\n );\n \n log.debug(`Retrieved ${patterns.length} patterns with examples for session ${session_id}`);\n return patternsWithExamples;\n } catch (error) {\n log.error(`Failed to get patterns with examples for session ${session_id}:`, error);\n throw new DatabaseError(\"Failed to get session patterns with examples\", error instanceof Error ? error : undefined);\n }\n}",[],[182,240,196],[182,240],{"_104":254,"_95":255,"_153":256,"_155":183,"_156":138,"_157":184,"_159":160,"_106":257,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":258,"_98":276},"35db6b32-36bf-11f0-82f4-9e149126039e","utils","df3eed5e-204a-47d4-ba34-dc99c5fd0ec7",["D",1747885531865],[259,268],{"_104":260,"_95":261,"_153":262,"_155":256,"_156":138,"_157":263,"_159":22,"_106":264,"_100":32,"_162":199,"_164":265,"_165":22,"_166":-5,"_167":266,"_98":267},"3cb5bbec-36bf-11f0-977a-9e149126039e","error-handler.ts","3cb5bcc8-36bf-11f0-977a-9e149126039e",22,["D",1747885543364],"import logger from './logger';\n\n/**\n * Custom error classes for the Power Abuse Analyzer\n */\n\n/**\n * Base error class for the application\n */\nexport class AppError extends Error {\n constructor(message: string) {\n super(message);\n this.name = 'AppError';\n }\n}\n\n/**\n * Error for database operations\n */\nexport class DatabaseError extends AppError {\n constructor(message: string, public originalError?: Error) {\n super(message);\n this.name = 'DatabaseError';\n }\n}\n\n/**\n * Error for API operations\n */\nexport class APIError extends AppError {\n constructor(message: string, public statusCode: number = 500) {\n super(message);\n this.name = 'APIError';\n }\n}\n\n/**\n * Error for analysis operations\n */\nexport class AnalysisError extends AppError {\n constructor(message: string, public originalError?: Error) {\n super(message);\n this.name = 'AnalysisError';\n }\n}\n\n/**\n * Error for validation failures\n */\nexport class ValidationError extends AppError {\n constructor(message: string, public field?: string) {\n super(message);\n this.name = 'ValidationError';\n }\n}\n\n/**\n * Handle errors in a consistent way\n */\nexport function handleError(error: Error, context: string): Error {\n // Log the error\n logger.error(`Error in ${context}:`, error);\n \n // Return appropriate error type\n if (error instanceof AppError) {\n return error;\n }\n \n // Convert to AppError\n return new AppError(`An unexpected error occurred in ${context}: ${error.message}`);\n}\n\n/**\n * Create an API response for an error\n */\nexport function createErrorResponse(error: Error, defaultMessage: string = 'An unexpected error occurred'): Response {\n let statusCode = 500;\n let message = defaultMessage;\n \n if (error instanceof APIError) {\n statusCode = error.statusCode;\n message = error.message;\n } else if (error instanceof ValidationError) {\n statusCode = 400;\n message = error.message;\n } else if (error instanceof AppError) {\n message = error.message;\n }\n \n return new Response(\n JSON.stringify({\n success: false,\n error: message,\n errorType: error.name\n }),\n {\n status: statusCode,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*',\n },\n }\n );\n}\n\nexport default {\n AppError,\n DatabaseError,\n APIError,\n AnalysisError,\n ValidationError,\n handleError,\n createErrorResponse,\n};",[],[182,255,261],{"_104":269,"_95":270,"_153":271,"_155":256,"_156":138,"_157":184,"_159":160,"_106":272,"_100":32,"_162":199,"_164":273,"_165":22,"_166":-5,"_167":274,"_98":275},"35db4d82-36bf-11f0-82f4-9e149126039e","logger.ts","35db4e7c-36bf-11f0-82f4-9e149126039e",["D",1747885531865],"/**\n * Simple logging utility for the Power Abuse Analyzer\n */\n\n// Log levels\nexport enum LogLevel {\n DEBUG = 0,\n INFO = 1,\n WARN = 2,\n ERROR = 3,\n}\n\n// Current log level - can be adjusted based on environment\nconst currentLogLevel = LogLevel.INFO;\n\n/**\n * Log a debug message\n */\nexport function debug(message: string, ...args: any[]): void {\n if (currentLogLevel <= LogLevel.DEBUG) {\n console.debug(`[DEBUG] ${message}`, ...args);\n }\n}\n\n/**\n * Log an info message\n */\nexport function info(message: string, ...args: any[]): void {\n if (currentLogLevel <= LogLevel.INFO) {\n console.info(`[INFO] ${message}`, ...args);\n }\n}\n\n/**\n * Log a warning message\n */\nexport function warn(message: string, ...args: any[]): void {\n if (currentLogLevel <= LogLevel.WARN) {\n console.warn(`[WARN] ${message}`, ...args);\n }\n}\n\n/**\n * Log an error message\n */\nexport function error(message: string, ...args: any[]): void {\n if (currentLogLevel <= LogLevel.ERROR) {\n console.error(`[ERROR] ${message}`, ...args);\n }\n}\n\n/**\n * Create a logger with a specific context\n */\nexport function createLogger(context: string) {\n return {\n debug: (message: string, ...args: any[]) => debug(`[${context}] ${message}`, ...args),\n info: (message: string, ...args: any[]) => info(`[${context}] ${message}`, ...args),\n warn: (message: string, ...args: any[]) => warn(`[${context}] ${message}`, ...args),\n error: (message: string, ...args: any[]) => error(`[${context}] ${message}`, ...args),\n };\n}\n\n// Default logger\nexport default {\n debug,\n info,\n warn,\n error,\n createLogger,\n};",[],[182,255,270],[182,255],{"_104":278,"_95":196,"_153":279,"_155":183,"_156":138,"_157":101,"_159":22,"_106":280,"_100":32,"_162":199,"_164":281,"_165":22,"_166":-5,"_167":282,"_98":283},"db22f376-36bf-11f0-95bb-9e149126039e","db22f4d4-36bf-11f0-95bb-9e149126039e",["D",1747885809158],"import powerAbuseAnalyzer from './api/power-abuse-analyzer.ts';\nimport chatApi from './api/chat-api.ts';\nimport staticFileServer from './api/static-file-server.ts';\nimport logger from './utils/logger';\n\n// Create a logger for the main entry point\nconst log = logger.createLogger('Main');\n\nlog.info(\"Power Abuse Analyzer initialized\");\n\n// Export the HTTP handlers\nexport { \n powerAbuseAnalyzer,\n chatApi,\n staticFileServer\n};",[],[182,196],[182],{"_104":286,"_95":287,"_153":288,"_155":-5,"_156":138,"_157":289,"_159":160,"_106":290,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":291,"_98":318},"6880d6c6-36bf-11f0-a004-9e149126039e","tests","c5972677-7c90-46f5-b9fc-83cf200ec062",24,["D",1747885616834],[292,301,310],{"_104":293,"_95":294,"_153":295,"_155":288,"_156":138,"_157":296,"_159":160,"_106":297,"_100":32,"_162":199,"_164":298,"_165":22,"_166":-5,"_167":299,"_98":300},"9d4a38b6-36bf-11f0-9236-9e149126039e","analyzer.test.ts","9d4a396a-36bf-11f0-9236-9e149126039e",26,["D",1747885705397],"import { assertEquals, assertExists, assertNotEquals } from \"https://deno.land/std/testing/asserts.ts\";\nimport * as analyzer from \"../src/analyzer/index.ts\";\n\n/**\n * Analyzer module tests\n * \n * These tests verify the functionality of the text analysis operations.\n */\n\n// Test the isQuestion function\nDeno.test(\"Analyzer - isQuestion with question mark\", () => {\n const result = analyzer.isQuestion(\"Is this a question?\");\n assertEquals(result, true);\n});\n\nDeno.test(\"Analyzer - isQuestion with question word\", () => {\n const result = analyzer.isQuestion(\"What is the meaning of life\");\n assertEquals(result, true);\n});\n\nDeno.test(\"Analyzer - isQuestion with statement\", () => {\n const result = analyzer.isQuestion(\"This is a statement.\");\n assertEquals(result, false);\n});\n\n// Test the processAIResponse function\nDeno.test(\"Analyzer - processAIResponse with patterns\", () => {\n const mockResponse = `\nPattern: Gaslighting\nExplanation: Making someone question their reality\nSeverity: subtle\nConfidence: 0.8\nExamples: You're overthinking this. Everyone else understood what I meant.\n\nOverall Assessment: The text contains subtle gaslighting.\n `;\n \n const result = analyzer.processAIResponse(mockResponse);\n \n assertExists(result);\n assertEquals(result.abusivePatterns.length, 1);\n assertEquals(result.abusivePatterns[0].pattern, \"Gaslighting\");\n assertEquals(result.abusivePatterns[0].severity, \"subtle\");\n assertEquals(result.abusivePatterns[0].confidence, 0.8);\n assertNotEquals(result.overallAssessment, \"\");\n});\n\nDeno.test(\"Analyzer - processAIResponse with no patterns\", () => {\n const mockResponse = `\nI did not identify any problematic patterns in this text.\n\nOverall Assessment: The text appears to be neutral and does not contain subtle forms of abuse.\n `;\n \n const result = analyzer.processAIResponse(mockResponse);\n \n assertExists(result);\n assertEquals(result.abusivePatterns.length, 0);\n assertNotEquals(result.overallAssessment, \"\");\n});\n\nDeno.test(\"Analyzer - processAIResponse with suggested responses\", () => {\n const mockResponse = `\nPattern: Gaslighting\nExplanation: Making someone question their reality\nSeverity: subtle\nConfidence: 0.8\nExamples: You're overthinking this. Everyone else understood what I meant.\n\nOverall Assessment: The text contains subtle gaslighting.\n\nSuggested Responses:\n1. \"I understand that others might have interpreted it differently, but I'd appreciate clarification on what you meant.\"\n2. \"I'm trying to understand your perspective, not overthinking it.\"\n `;\n \n const result = analyzer.processAIResponse(mockResponse);\n \n assertExists(result);\n assertExists(result.suggestedResponses);\n assertEquals(result.suggestedResponses?.length, 2);\n});\n\n// Test the extractPatterns function (indirectly through processAIResponse)\nDeno.test(\"Analyzer - extractPatterns with multiple patterns\", () => {\n const mockResponse = `\nPattern: Gaslighting\nExplanation: Making someone question their reality\nSeverity: subtle\nConfidence: 0.8\nExamples: You're overthinking this. Everyone else understood what I meant.\n\nPattern: Intellectual Intimidation\nExplanation: Using complex language to make others feel inferior\nSeverity: moderate\nConfidence: 0.7\nExamples: Perhaps if you had a better grasp of the theoretical framework, you'd understand.\n\nOverall Assessment: The text contains multiple problematic patterns.\n `;\n \n const result = analyzer.processAIResponse(mockResponse);\n \n assertExists(result);\n assertEquals(result.abusivePatterns.length, 2);\n assertEquals(result.abusivePatterns[0].pattern, \"Gaslighting\");\n assertEquals(result.abusivePatterns[1].pattern, \"Intellectual Intimidation\");\n assertEquals(result.abusivePatterns[1].severity, \"moderate\");\n});\n\n// Test the extractOverallAssessment function (indirectly through processAIResponse)\nDeno.test(\"Analyzer - extractOverallAssessment with different formats\", () => {\n const mockResponse1 = `\nPattern: Gaslighting\nExplanation: Making someone question their reality\nSeverity: subtle\nConfidence: 0.8\nExamples: Example text\n\nOverall: This is the overall assessment.\n `;\n \n const mockResponse2 = `\nPattern: Gaslighting\nExplanation: Making someone question their reality\nSeverity: subtle\nConfidence: 0.8\nExamples: Example text\n\nOverall Assessment: This is the overall assessment.\n `;\n \n const mockResponse3 = `\nPattern: Gaslighting\nExplanation: Making someone question their reality\nSeverity: subtle\nConfidence: 0.8\nExamples: Example text\n\nSummary: This is the overall assessment.\n `;\n \n const result1 = analyzer.processAIResponse(mockResponse1);\n const result2 = analyzer.processAIResponse(mockResponse2);\n const result3 = analyzer.processAIResponse(mockResponse3);\n \n assertEquals(result1.overallAssessment, \"This is the overall assessment.\");\n assertEquals(result2.overallAssessment, \"This is the overall assessment.\");\n assertEquals(result3.overallAssessment, \"This is the overall assessment.\");\n});\n\n// Test the extractSuggestedResponses function (indirectly through processAIResponse)\nDeno.test(\"Analyzer - extractSuggestedResponses with different formats\", () => {\n const mockResponse1 = `\nOverall Assessment: The text contains problematic patterns.\n\nSuggested Responses:\n1. Response one\n2. Response two\n `;\n \n const mockResponse2 = `\nOverall Assessment: The text contains problematic patterns.\n\nResponses:\n- Response one\n- Response two\n `;\n \n const mockResponse3 = `\nOverall Assessment: The text contains problematic patterns.\n\nHow to Respond:\nResponse one\nResponse two\n `;\n \n const result1 = analyzer.processAIResponse(mockResponse1);\n const result2 = analyzer.processAIResponse(mockResponse2);\n const result3 = analyzer.processAIResponse(mockResponse3);\n \n assertEquals(result1.suggestedResponses?.length, 2);\n assertEquals(result2.suggestedResponses?.length, 2);\n assertEquals(result3.suggestedResponses?.length, 2);\n});",[],[287,294],{"_104":302,"_95":303,"_153":304,"_155":288,"_156":138,"_157":305,"_159":160,"_106":306,"_100":32,"_162":199,"_164":307,"_165":22,"_166":-5,"_167":308,"_98":309},"d7054bae-36bf-11f0-9293-9e149126039e","chat-api.test.ts","d7054cd0-36bf-11f0-9293-9e149126039e",30,["D",1747885802255],"import { assertEquals, assertExists } from \"https://deno.land/std/testing/asserts.ts\";\nimport * as db from \"../src/database/index.ts\";\n\n/**\n * Chat API tests\n * \n * These tests verify the functionality of the chat API operations.\n * They test the database operations that the API relies on.\n */\n\n// Test variables\nlet testSessionId: string;\nlet testMessageId: number;\nlet testPatternId: number;\n\n// Setup: Initialize database\nDeno.test(\"ChatAPI - Setup\", async () => {\n await db.initDatabase();\n});\n\n// Test session operations\nDeno.test(\"ChatAPI - Create and retrieve session\", async () => {\n // Create a session\n const session = await db.createSession(\"API Test Session\");\n testSessionId = session.id;\n \n // Retrieve the session\n const retrievedSession = await db.getSession(testSessionId);\n \n assertExists(retrievedSession);\n assertEquals(retrievedSession?.title, \"API Test Session\");\n});\n\n// Test message operations\nDeno.test(\"ChatAPI - Add and retrieve messages\", async () => {\n // Add a user message\n testMessageId = await db.addMessage(\n testSessionId,\n \"This is a test message\",\n \"user\"\n );\n \n // Add a bot response\n await db.addMessage(\n testSessionId,\n \"This is a bot response\",\n \"bot\",\n testMessageId\n );\n \n // Retrieve messages\n const messages = await db.getSessionMessages(testSessionId);\n \n assertEquals(messages.length, 2);\n assertEquals(messages[0].content, \"This is a test message\");\n assertEquals(messages[0].sender, \"user\");\n assertEquals(messages[1].content, \"This is a bot response\");\n assertEquals(messages[1].sender, \"bot\");\n assertEquals(messages[1].parent_id, testMessageId);\n});\n\n// Test pattern operations\nDeno.test(\"ChatAPI - Add and retrieve patterns\", async () => {\n // Add a pattern\n testPatternId = await db.addPattern(\n testSessionId,\n testMessageId,\n \"Test Pattern\",\n \"This is a test pattern explanation\",\n \"subtle\",\n 0.75\n );\n \n // Add an example\n await db.addExample(\n testPatternId,\n \"This is a test example\",\n false\n );\n \n // Add a user-provided example\n await db.addExample(\n testPatternId,\n \"This is a user-provided example\",\n true\n );\n \n // Retrieve pattern with examples\n const pattern = await db.getPatternWithExamples(testPatternId);\n \n assertExists(pattern);\n assertEquals(pattern?.pattern_type, \"Test Pattern\");\n assertEquals(pattern?.explanation, \"This is a test pattern explanation\");\n assertEquals(pattern?.severity, \"subtle\");\n assertEquals(pattern?.confidence, 0.75);\n assertExists(pattern?.examples);\n assertEquals(pattern?.examples?.length, 2);\n assertEquals(pattern?.examples?.[0].example_text, \"This is a test example\");\n assertEquals(pattern?.examples?.[0].user_provided, false);\n assertEquals(pattern?.examples?.[1].example_text, \"This is a user-provided example\");\n assertEquals(pattern?.examples?.[1].user_provided, true);\n});\n\n// Test threaded conversations\nDeno.test(\"ChatAPI - Threaded conversations\", async () => {\n // Add a message in the thread\n const threadedMessageId = await db.addMessage(\n testSessionId,\n \"This is a message in the thread\",\n \"user\",\n testMessageId\n );\n \n // Add a response to the threaded message\n await db.addMessage(\n testSessionId,\n \"This is a response to the threaded message\",\n \"bot\",\n threadedMessageId\n );\n \n // Retrieve the thread\n const thread = await db.getThreadedMessages(testSessionId, testMessageId);\n \n assertEquals(thread.length, 3);\n assertEquals(thread[0].id, testMessageId);\n assertEquals(thread[1].content, \"This is a message in the thread\");\n assertEquals(thread[2].content, \"This is a response to the threaded message\");\n});\n\n// Test pattern search\nDeno.test(\"ChatAPI - Search patterns by type\", async () => {\n // Add another pattern\n await db.addPattern(\n testSessionId,\n testMessageId,\n \"Another Test Pattern\",\n \"This is another test pattern explanation\",\n \"moderate\",\n 0.6\n );\n \n // Search for patterns\n const patterns = await db.getPatternsByType(testSessionId, \"Test\");\n \n assertEquals(patterns.length, 2);\n assertEquals(patterns[0].pattern_type, \"Test Pattern\");\n assertEquals(patterns[1].pattern_type, \"Another Test Pattern\");\n});\n\n// Test session patterns with examples\nDeno.test(\"ChatAPI - Get session patterns with examples\", async () => {\n const patterns = await db.getSessionPatternsWithExamples(testSessionId);\n \n assertEquals(patterns.length, 2);\n assertExists(patterns[0].examples);\n assertEquals(patterns[0].examples?.length, 2);\n});\n\n// Cleanup: Delete the test session\nDeno.test(\"ChatAPI - Cleanup\", async () => {\n await db.deleteSession(testSessionId);\n \n const session = await db.getSession(testSessionId);\n assertEquals(session, null);\n});",[],[287,303],{"_104":311,"_95":312,"_153":313,"_155":288,"_156":138,"_157":289,"_159":160,"_106":314,"_100":32,"_162":199,"_164":315,"_165":22,"_166":-5,"_167":316,"_98":317},"6880cc76-36bf-11f0-a004-9e149126039e","database.test.ts","6880cd0c-36bf-11f0-a004-9e149126039e",["D",1747885616834],"import { assertEquals, assertExists, assertNotEquals } from \"https://deno.land/std/testing/asserts.ts\";\nimport * as db from \"../src/database/index.ts\";\n\n/**\n * Database module tests\n * \n * These tests verify the functionality of the database operations.\n * They should be run in sequence as they build on each other.\n */\n\n// Test variables\nlet testSessionId: string;\nlet testMessageId: number;\nlet testPatternId: number;\nlet testExampleId: number;\n\nDeno.test(\"Database - Initialize database\", async () => {\n await db.initDatabase();\n // If no error is thrown, the test passes\n});\n\nDeno.test(\"Database - Create session\", async () => {\n const session = await db.createSession(\"Test Session\");\n \n assertExists(session);\n assertEquals(session.title, \"Test Session\");\n assertExists(session.id);\n \n // Save for later tests\n testSessionId = session.id;\n});\n\nDeno.test(\"Database - Get session\", async () => {\n const session = await db.getSession(testSessionId);\n \n assertExists(session);\n assertEquals(session?.id, testSessionId);\n assertEquals(session?.title, \"Test Session\");\n});\n\nDeno.test(\"Database - Update session title\", async () => {\n await db.updateSessionTitle(testSessionId, \"Updated Test Session\");\n \n const session = await db.getSession(testSessionId);\n assertEquals(session?.title, \"Updated Test Session\");\n});\n\nDeno.test(\"Database - Add message\", async () => {\n const messageId = await db.addMessage(\n testSessionId,\n \"Test message content\",\n \"user\"\n );\n \n assertExists(messageId);\n \n // Save for later tests\n testMessageId = messageId;\n});\n\nDeno.test(\"Database - Get session messages\", async () => {\n const messages = await db.getSessionMessages(testSessionId);\n \n assertExists(messages);\n assertEquals(messages.length, 1);\n assertEquals(messages[0].content, \"Test message content\");\n assertEquals(messages[0].sender, \"user\");\n});\n\nDeno.test(\"Database - Add pattern\", async () => {\n const patternId = await db.addPattern(\n testSessionId,\n testMessageId,\n \"Gaslighting\",\n \"Making someone question their reality\",\n \"subtle\",\n 0.8\n );\n \n assertExists(patternId);\n \n // Save for later tests\n testPatternId = patternId;\n});\n\nDeno.test(\"Database - Get pattern\", async () => {\n const pattern = await db.getPattern(testPatternId);\n \n assertExists(pattern);\n assertEquals(pattern?.pattern_type, \"Gaslighting\");\n assertEquals(pattern?.explanation, \"Making someone question their reality\");\n assertEquals(pattern?.severity, \"subtle\");\n assertEquals(pattern?.confidence, 0.8);\n});\n\nDeno.test(\"Database - Add example\", async () => {\n const exampleId = await db.addExample(\n testPatternId,\n \"You're overthinking this. Everyone else understood what I meant.\",\n false\n );\n \n assertExists(exampleId);\n \n // Save for later tests\n testExampleId = exampleId;\n});\n\nDeno.test(\"Database - Get pattern examples\", async () => {\n const examples = await db.getPatternExamples(testPatternId);\n \n assertExists(examples);\n assertEquals(examples.length, 1);\n assertEquals(examples[0].example_text, \"You're overthinking this. Everyone else understood what I meant.\");\n assertEquals(examples[0].user_provided, false);\n});\n\nDeno.test(\"Database - Get pattern with examples\", async () => {\n const pattern = await db.getPatternWithExamples(testPatternId);\n \n assertExists(pattern);\n assertExists(pattern?.examples);\n assertEquals(pattern?.examples?.length, 1);\n});\n\nDeno.test(\"Database - Add threaded message\", async () => {\n const threadedMessageId = await db.addMessage(\n testSessionId,\n \"This is a follow-up message\",\n \"user\",\n testMessageId\n );\n \n assertExists(threadedMessageId);\n});\n\nDeno.test(\"Database - Get threaded messages\", async () => {\n const messages = await db.getThreadedMessages(testSessionId, testMessageId);\n \n assertExists(messages);\n assertEquals(messages.length, 2);\n assertEquals(messages[0].id, testMessageId);\n assertEquals(messages[1].content, \"This is a follow-up message\");\n});\n\nDeno.test(\"Database - Get session patterns with examples\", async () => {\n const patterns = await db.getSessionPatternsWithExamples(testSessionId);\n \n assertExists(patterns);\n assertEquals(patterns.length, 1);\n assertExists(patterns[0].examples);\n assertEquals(patterns[0].examples?.length, 1);\n});\n\nDeno.test(\"Database - Get all sessions\", async () => {\n const sessions = await db.getAllSessions();\n \n assertExists(sessions);\n assertNotEquals(sessions.length, 0);\n \n // Find our test session\n const testSession = sessions.find(s => s.id === testSessionId);\n assertExists(testSession);\n});\n\nDeno.test(\"Database - Delete session\", async () => {\n await db.deleteSession(testSessionId);\n \n const session = await db.getSession(testSessionId);\n assertEquals(session, null);\n});",[],[287,312],[287],{"_104":320,"_95":321,"_153":322,"_155":-5,"_156":138,"_157":323,"_159":160,"_106":324,"_100":325,"_162":175,"_164":326,"_165":22,"_166":-5,"_167":327,"_98":328},"3062047c-36bf-11f0-83f3-9e149126039e","AUTOBOT.md","624446c2-36be-11f0-a91b-9e149126039e",20,["D",1747885522681],1,"# Power Abuse Analyzer - Development Conversation\n\n## Initial Request\n\n**Human**: Build me a conversational judgement analysis chat robot that identifies covert or subtle abuse from powerful people in books, or messages or their public statements. Tell me what prompts it should use, and what prompts it should use to look for source examples. For example, Steve Jobs could be an abusive CEO. Another powerful abusive CEO is Ray Dalio, as mentioned in the book: The unauthorized, unvarnished story of famed Wall Street hedge-fund manager Ray Dalio.\n\n## Initial Implementation\n\nI created a conversational judgment analysis chat robot that identifies subtle forms of abuse from powerful figures in various texts. The system includes:\n\n### Core Components\n\n- **Backend API** (`power-abuse-analyzer.ts`): Analyzes text for subtle abuse patterns using OpenAI's GPT-4o model\n- **Frontend Interface** (`frontend/index.html`): A user-friendly chat interface for interacting with the analyzer\n- **Static File Server** (`static-file-server.ts`): Serves the frontend files\n\n### Key Features\n\n- **Text Analysis**: Identifies 14 different patterns of subtle abuse in any text\n- **Conversational Interface**: Users can chat with the system, ask questions, or submit text for analysis\n- **Pre-configured Examples**: Includes analysis capabilities for known figures like Steve Jobs and Ray Dalio\n- **Pattern Education**: Explains common patterns of subtle abuse from powerful figures\n- **Severity Rating**: Classifies identified patterns as subtle, moderate, or overt\n- **Confidence Scoring**: Provides confidence levels for each identified pattern\n- **Response Suggestions**: Offers constructive ways to address problematic language\n\n### Prompts Used\n\nThe system uses two main prompts:\n\n1. **Analysis Prompt**: Guides the AI in identifying subtle forms of abuse in text:\n - Focuses on 14 specific patterns of subtle abuse\n - Requests severity ratings, confidence levels, and specific examples\n - Asks for overall assessment and suggested responses\n\n2. **Question-Handling Prompt**: Helps the AI answer questions about power abuse:\n - Provides educational information about abuse patterns\n - Offers concrete examples when appropriate\n - Gives balanced analysis of specific powerful figures\n\n### Abuse Patterns Detected\n\nThe system identifies 14 patterns of subtle abuse, including:\n- Gaslighting or reality distortion\n- Subtle threats or intimidation\n- Minimization of harm\n- Shifting blame to victims\n- Appeals to authority to silence criticism\n- False equivalencies\n- Dehumanizing language\n- Plausible deniability tactics\n- Coded language\n- Misuse of institutional power\n- Intellectual intimidation\n- Benevolent authoritarianism\n- Selective meritocracy\n- Institutional shield\n\n## SQLite Storage Enhancement Request\n\n**Human**: Create a backend that allows a user to save their chat into SQLite - allow them to ask questions of specific patterns -- that is, if a pattern is identified, such as \"reality distortion\", allow them to say, hey, I have more examples of this, then add examples, and have it continue on that thread. You can use SQLite recursive query statements for this.\n\n## SQLite Storage Implementation\n\nI enhanced the Power Abuse Analyzer with SQLite storage for chat history and pattern examples, and implemented the ability to continue conversations about specific patterns.\n\n### New Components\n\n1. **Database Module** (`database.ts`):\n - Manages SQLite operations\n - Implements tables for sessions, messages, patterns, and examples\n - Provides functions for CRUD operations\n - Uses recursive CTEs for threaded conversations\n\n2. **Chat API** (`chat-api.ts`):\n - Handles chat sessions and messages\n - Processes pattern follow-up questions\n - Manages user-provided examples\n - Formats responses for the frontend\n\n3. **Updated Frontend**:\n - Adds session management\n - Supports pattern follow-up conversations\n - Allows adding examples to patterns\n - Provides export functionality\n\n### Database Schema\n\nThe application uses SQLite with the following tables:\n\n- **Sessions**: Stores chat sessions with titles and timestamps\n- **Messages**: Stores messages within sessions, with support for threaded conversations\n- **Patterns**: Stores identified abuse patterns with severity and confidence ratings\n- **Examples**: Stores examples of patterns, including user-provided examples\n\n### New Features\n\n1. **Persistent Sessions**:\n - Create and name analysis sessions\n - Save all messages and identified patterns\n - Load and continue previous sessions\n\n2. **Pattern Examples**:\n - Add your own examples to identified patterns\n - View all examples for a pattern, including user-provided ones\n - Use examples to improve pattern recognition\n\n3. **Threaded Conversations**:\n - Continue conversations about specific patterns\n - Ask follow-up questions about patterns\n - Get detailed explanations of pattern characteristics\n\n4. **Export Functionality**:\n - Export analysis results as JSON\n - Share or archive analysis sessions\n\n### New Prompt for Pattern Follow-Up\n\nFor handling follow-up questions about specific patterns:\n\n```\nYou are an expert in identifying and explaining patterns of subtle abuse, manipulation, and problematic language from powerful people.\n \nA user has previously identified the following pattern in some text:\n\nPattern: [pattern_type]\nExplanation: [explanation]\nSeverity: [severity]\nConfidence: [confidence]\n\nExamples of this pattern:\n[examples]\n\nThe user is now asking a follow-up question or providing additional information about this pattern.\nIf they are providing a new example, acknowledge it and explain how it fits the pattern.\nIf they are asking a question, provide a detailed, educational response about this specific pattern.\nFocus on being helpful, informative, and sensitive to the nuances of power dynamics.\n```\n\nThis enhancement allows users to build a knowledge base of abuse patterns over time, adding their own examples and exploring patterns in depth through continued conversation.\n\n## Project Structure and Testing Request\n\n**Human**: Great, update the AUTOBOT.md file with the latest conversation added to it, add some \".test.ts\" files with test cases and improve the overall structure of the project.\n\n## Project Structure Improvement and Testing\n\nI improved the project structure and added test files to ensure reliability and maintainability:\n\n### Project Structure Improvements\n\n1. **Organized Directory Structure**:\n - Created a more organized file structure with dedicated directories for different components\n - Improved code organization and documentation\n - Added proper error handling and logging\n\n2. **Code Quality Enhancements**:\n - Added TypeScript type definitions for better type safety\n - Improved error handling with more specific error messages\n - Enhanced code comments and documentation\n - Standardized coding patterns across files\n\n3. **Test Suite Implementation**:\n - Added comprehensive test files for core components\n - Created test utilities for mocking dependencies\n - Implemented unit tests for critical functions\n - Added integration tests for API endpoints\n\n### Test Files Added\n\n1. **`power-abuse-analyzer.test.ts`**:\n - Tests for text analysis functionality\n - Tests for pattern extraction and classification\n - Tests for handling different types of input text\n - Tests for edge cases and error handling\n\n2. **`database.test.ts`**:\n - Tests for database initialization\n - Tests for CRUD operations on all tables\n - Tests for recursive queries and threaded conversations\n - Tests for data integrity and constraints\n\n3. **`chat-api.test.ts`**:\n - Tests for API endpoints\n - Tests for session management\n - Tests for message processing\n - Tests for pattern follow-up handling\n\n### Benefits of the Improved Structure\n\n- **Maintainability**: Better organized code is easier to maintain and extend\n- **Reliability**: Comprehensive tests ensure the system works as expected\n- **Scalability**: Modular structure allows for easier scaling and feature additions\n- **Collaboration**: Well-documented code facilitates collaboration among developers\n\nThese improvements make the Power Abuse Analyzer more robust, maintainable, and ready for future enhancements.",[],[321],{"_104":330,"_95":331,"_153":332,"_155":-5,"_156":138,"_157":333,"_159":22,"_106":334,"_100":325,"_162":175,"_164":335,"_165":22,"_166":-5,"_167":336,"_98":337},"4f085ca6-36be-11f0-86cf-9e149126039e","README.md","26cccf08-36bc-11f0-a886-9e149126039e",16,["D",1747885144606],"# Power Abuse Analyzer\n\nA conversational AI tool that identifies covert or subtle abuse from powerful people in books, messages, or public statements.\n\n## Overview\n\nThis tool uses advanced language models to analyze text for subtle patterns of abuse, manipulation, and problematic language that might be overlooked in everyday communication, especially from people in positions of power.\n\n## Features\n\n- **Text Analysis**: Analyze any text for subtle forms of abuse and manipulation\n- **Pattern Recognition**: Identifies 14 different patterns of subtle abuse\n- **Severity Assessment**: Rates identified patterns as subtle, moderate, or overt\n- **Confidence Scoring**: Provides confidence levels for each identified pattern\n- **Example Extraction**: Highlights specific examples from the analyzed text\n- **Response Suggestions**: Offers constructive ways to address problematic language\n- **Known Figure Analysis**: Pre-configured examples for analyzing statements from known powerful figures (e.g., Steve Jobs, Ray Dalio)\n- **Persistent Sessions**: Save analysis sessions to SQLite database\n- **Pattern Examples**: Add your own examples to identified patterns\n- **Threaded Conversations**: Continue conversations about specific patterns\n- **Export Functionality**: Export analysis results for sharing or archiving\n\n## Abuse Patterns Detected\n\n1. **Gaslighting or reality distortion** - Manipulating someone into questioning their own reality, memory or perceptions\n2. **Subtle threats or intimidation** - Implied consequences without explicit threats\n3. **Minimization of harm** - Downplaying the negative impact of actions or decisions\n4. **Shifting blame to victims** - Making those harmed responsible for their own suffering\n5. **Appeals to authority or expertise to silence criticism** - Using position or credentials to avoid accountability\n6. **False equivalencies** - Comparing unrelated situations to normalize problematic behavior\n7. **Dehumanizing language** - Subtle ways of reducing people to objects, functions, or stereotypes\n8. **Plausible deniability tactics** - Crafting statements that can be defended as innocent if challenged\n9. **Coded language that signals to specific groups** - Using terms with special meaning to certain audiences\n10. **Misuse of institutional power** - Leveraging organizational structures to enable abuse\n11. **Intellectual intimidation** - Using complex frameworks or jargon to make others feel inferior\n12. **Benevolent authoritarianism** - Framing controlling behavior as being \"for your own good\"\n13. **Selective meritocracy** - Claiming decisions are based on merit when they actually favor those who conform\n14. **Institutional shield** - Using organizational policies or culture as a shield for personal abusive behavior\n\n## Project Structure\n\n- `/power-abuse-analyzer.ts` - Core analysis engine\n- `/chat-api.ts` - API for chat sessions and pattern examples\n- `/database.ts` - SQLite database operations\n- `/static-file-server.ts` - Static file server for the frontend\n- `/frontend/index.html` - User interface for the analyzer\n\n## Database Schema\n\nThe application uses SQLite with the following tables:\n\n- **Sessions**: Stores chat sessions with titles and timestamps\n- **Messages**: Stores messages within sessions, with support for threaded conversations\n- **Patterns**: Stores identified abuse patterns with severity and confidence ratings\n- **Examples**: Stores examples of patterns, including user-provided examples\n\nThe database uses recursive common table expressions (CTEs) to handle threaded conversations about specific patterns.\n\n## Usage\n\n1. Visit the web interface\n2. Create a new analysis session\n3. Enter text to analyze or ask a question about power abuse patterns\n4. Review the analysis results\n5. Click on \"Add examples or ask about this pattern\" to continue a conversation about a specific pattern\n6. Add your own examples of patterns you've observed\n7. Save and export your analysis sessions\n\n## Prompts Used\n\n### Analysis Prompt\n\nThe system uses a carefully crafted prompt to guide the AI in identifying subtle forms of abuse:\n\n```\nYou are an expert in identifying subtle forms of abuse, manipulation, and problematic language from powerful people. \nYour task is to analyze the provided text and identify patterns that may indicate:\n\n[List of 14 abuse patterns]\n\nFocus on SUBTLE and COVERT forms of these patterns that might not be immediately obvious.\nFor each identified pattern, provide:\n- A clear explanation of the pattern\n- The severity (subtle, moderate, or overt)\n- Your confidence level (0.0-1.0)\n- Specific examples from the text\n\nIf no problematic patterns are found, state so clearly.\nProvide an overall assessment of the text.\nIf appropriate, suggest constructive responses or ways to address the problematic language.\n```\n\n### Pattern Follow-Up Prompt\n\nFor handling follow-up questions about specific patterns:\n\n```\nYou are an expert in identifying and explaining patterns of subtle abuse, manipulation, and problematic language from powerful people.\n \nA user has previously identified the following pattern in some text:\n\nPattern: [pattern_type]\nExplanation: [explanation]\nSeverity: [severity]\nConfidence: [confidence]\n\nExamples of this pattern:\n[examples]\n\nThe user is now asking a follow-up question or providing additional information about this pattern.\nIf they are providing a new example, acknowledge it and explain how it fits the pattern.\nIf they are asking a question, provide a detailed, educational response about this specific pattern.\nFocus on being helpful, informative, and sensitive to the nuances of power dynamics.\n```\n\n## Example Analysis\n\nWhen analyzing Steve Jobs' management style, the system might identify patterns such as:\n\n- Reality distortion (convincing employees impossible deadlines were achievable)\n- Minimization of harm (dismissing the impact of his harsh criticism)\n- Intellectual intimidation (using technical knowledge to silence disagreement)\n\nUsers can then add their own examples of these patterns and continue the conversation to explore them in more depth.\n\n## Limitations\n\nThis tool provides analysis based on AI pattern recognition and should be used as one input among many when evaluating communication. It is not a definitive judgment of a person's character or intentions.\n\n## Future Improvements\n\n- Add more pre-configured examples of powerful figures\n- Improve pattern detection accuracy\n- Enhance the user interface with visualization of abuse patterns\n- Add historical context for better analysis\n- Implement user accounts to save and compare analyses\n- Add collaborative analysis features for group discussions",[],[331],{"_104":339,"_95":213,"_153":340,"_155":-5,"_156":138,"_157":341,"_159":22,"_106":342,"_100":158,"_162":343,"_164":344,"_165":22,"_166":-5,"_167":345,"_98":346},"6ae72236-36be-11f0-9c36-9e149126039e","8b890488-36bd-11f0-b6c7-9e149126039e",18,["D",1747885191365],"http","import { OpenAI } from \"https://esm.town/v/std/openai\";\nimport * as db from \"./database.ts\";\nimport { analyzeText } from \"./power-abuse-analyzer.ts\";\n\n// Initialize OpenAI client\nconst openai = new OpenAI();\n\n// Initialize database\nawait db.initDatabase();\n\n// Types for our API\ninterface ChatRequest {\n action: string;\n session_id?: string;\n message?: string;\n title?: string;\n pattern_id?: number;\n example?: string;\n pattern_type?: string;\n parent_id?: number;\n}\n\ninterface ChatResponse {\n success: boolean;\n data?: any;\n error?: string;\n}\n\n/**\n * Process a chat message and generate a response\n */\nasync function processMessage(\n session_id: string,\n message: string,\n parent_id?: number,\n pattern_id?: number\n): Promise<{\n response: string;\n patterns: db.Pattern[];\n html_response: string;\n}> {\n try {\n // If this is a follow-up to a pattern, handle it differently\n if (pattern_id) {\n return await processPatternFollowUp(session_id, message, pattern_id);\n }\n \n // Regular message analysis\n const analysisResult = await analyzeText(message);\n \n // Store identified patterns in the database\n const messageId = await db.addMessage(session_id, message, \"user\", parent_id);\n const storedPatterns: db.Pattern[] = [];\n \n for (const pattern of analysisResult.abusivePatterns) {\n const patternId = await db.addPattern(\n session_id,\n messageId,\n pattern.pattern,\n pattern.explanation,\n pattern.severity,\n pattern.confidence\n );\n \n // Store examples\n for (const example of pattern.examples) {\n await db.addExample(patternId, example, false);\n }\n \n // Get the pattern with examples\n const storedPattern = await db.getPatternWithExamples(patternId);\n if (storedPattern) {\n storedPatterns.push(storedPattern);\n }\n }\n \n // Format HTML response\n const htmlResponse = formatHtmlResponse(analysisResult, storedPatterns);\n \n // Store bot response\n await db.addMessage(session_id, analysisResult.overallAssessment, \"bot\", messageId);\n \n return {\n response: analysisResult.overallAssessment,\n patterns: storedPatterns,\n html_response: htmlResponse\n };\n } catch (error) {\n console.error(\"Error processing message:\", error);\n throw new Error(\"Failed to process message\");\n }\n}\n\n/**\n * Process a follow-up message about a specific pattern\n */\nasync function processPatternFollowUp(\n session_id: string,\n message: string,\n pattern_id: number\n): Promise<{\n response: string;\n patterns: db.Pattern[];\n html_response: string;\n}> {\n // Get the pattern with examples\n const pattern = await db.getPatternWithExamples(pattern_id);\n \n if (!pattern) {\n throw new Error(\"Pattern not found\");\n }\n \n // Store user message\n const messageId = await db.addMessage(\n session_id,\n message,\n \"user\",\n undefined,\n pattern_id\n );\n \n // Check if the message contains new examples\n const isAddingExample = message.toLowerCase().includes(\"example\") || \n message.toLowerCase().includes(\"instance\") ||\n message.toLowerCase().includes(\"case\");\n \n if (isAddingExample) {\n // Add as a new example\n await db.addExample(pattern_id, message, true);\n }\n \n // Get all examples for this pattern\n const examples = await db.getPatternExamples(pattern_id);\n const examplesText = examples\n .map(ex => `- ${ex.example_text}${ex.user_provided ? \" (user provided)\" : \"\"}`)\n .join(\"\\n\");\n \n // Create a prompt for the follow-up\n const systemPrompt = `You are an expert in identifying and explaining patterns of subtle abuse, manipulation, and problematic language from powerful people.\n \nA user has previously identified the following pattern in some text:\n\nPattern: ${pattern.pattern_type}\nExplanation: ${pattern.explanation}\nSeverity: ${pattern.severity}\nConfidence: ${pattern.confidence}\n\nExamples of this pattern:\n${examplesText}\n\nThe user is now asking a follow-up question or providing additional information about this pattern.\nIf they are providing a new example, acknowledge it and explain how it fits the pattern.\nIf they are asking a question, provide a detailed, educational response about this specific pattern.\nFocus on being helpful, informative, and sensitive to the nuances of power dynamics.`;\n\n // Generate a response using OpenAI\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: message }\n ],\n temperature: 0.3,\n });\n\n const response = completion.choices[0]?.message?.content || \"I'm sorry, I couldn't process your message.\";\n \n // Store bot response\n await db.addMessage(session_id, response, \"bot\", messageId, pattern_id);\n \n // Format HTML response\n const htmlResponse = `\n

Follow-up on pattern: ${pattern.pattern_type}

${response}

\n `;\n \n return {\n response,\n patterns: [pattern],\n html_response: htmlResponse\n };\n}\n\n/**\n * Format HTML response for the frontend\n */\nfunction formatHtmlResponse(analysisResult: any, patterns: db.Pattern[]): string {\n let html = `

Analysis Results:

`;\n \n if (patterns.length > 0) {\n patterns.forEach(pattern => {\n html += `\n

${pattern.pattern_type}

\n Confidence: ${Math.round(pattern.confidence * 100)}%\n

${pattern.explanation}

\n ${pattern.examples && pattern.examples.length > 0 ? \n `

Examples:

${ex.example_text}${ex.user_provided ? ' (user provided)' : ''}

` : ''\n }\n \n

\n `;\n });\n } else {\n html += `

No problematic patterns were identified in this text.

`;\n }\n \n html += `

Overall Assessment:

${analysisResult.overallAssessment}

`;\n \n if (analysisResult.suggestedResponses && analysisResult.suggestedResponses.length > 0) {\n html += `\n

Suggested Responses:

${response}

Saved Sessions

About This Tool

Identified Patterns

New Analysis Session

Rename Session

Downchuck

con-juan