Person Enrichment Tool

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Results

\n\n \n \n \n `;\n\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n // Handle POST request for enrichment\n if (req.method === \"POST\") {\n try {\n // Parse request body\n const body: PersonEnrichmentRequest = await req.json();\n\n // Validate that at least one identifier is provided\n if (\n !body.email &&\n !body.name &&\n !body.linkedin &&\n !body.twitter &&\n !body.website\n ) {\n return new Response(\n JSON.stringify({\n success: false,\n error:\n \"At least one identifier is required (email, name, linkedin, twitter, or website)\",\n }),\n {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n }\n );\n }\n\n // Build search query based on available information\n let searchQuery = \"Research and find information about this person: \";\n const identifiers = [];\n\n if (body.name) identifiers.push(`Name: ${body.name}`);\n if (body.email) identifiers.push(`Email: ${body.email}`);\n if (body.company) identifiers.push(`Company: ${body.company}`);\n if (body.linkedin) identifiers.push(`LinkedIn: ${body.linkedin}`);\n if (body.twitter) identifiers.push(`Twitter: ${body.twitter}`);\n if (body.website) identifiers.push(`Website: ${body.website}`);\n\n searchQuery += identifiers.join(\", \");\n\n searchQuery += `\n\nPlease provide a comprehensive research report with the following sections:\n1. SUMMARY: A brief overview of who this person is\n2. PROFESSIONAL_BACKGROUND: Their career history, education, and expertise\n3. CURRENT_ROLE: Their current position and responsibilities\n4. COMPANY_INFO: Information about their current or most recent company\n5. RECENT_ACTIVITIES: Recent news, projects, or public activities\n6. SOCIAL_PRESENCE: Their online presence and thought leadership\n7. ACHIEVEMENTS: Notable accomplishments, awards, or recognition\n8. SOURCES: List the main sources you found this information from\n\nFormat your response as a structured report. If you cannot find information for any section, please indicate \"No information found\" for that section.`;\n\n // Initialize OpenAI client\n const client = new OpenAI({\n apiKey: Deno.env.get(\"OPENAI_API_KEY\"),\n });\n\n // Make the search request\n const completion = await client.chat.completions.create({\n model: \"gpt-4o-search-preview\",\n web_search_options: {},\n messages: [\n {\n role: \"user\",\n content: searchQuery,\n },\n ],\n max_tokens: 2000,\n });\n\n const content = completion.choices[0].message.content;\n\n if (!content) {\n throw new Error(\"No content returned from OpenAI\");\n }\n\n // Parse the structured response\n const sections = {\n summary: extractSection(content, \"SUMMARY\"),\n professional_background: extractSection(\n content,\n \"PROFESSIONAL_BACKGROUND\"\n ),\n current_role: extractSection(content, \"CURRENT_ROLE\"),\n company_info: extractSection(content, \"COMPANY_INFO\"),\n recent_activities: extractSection(content, \"RECENT_ACTIVITIES\"),\n social_presence: extractSection(content, \"SOCIAL_PRESENCE\"),\n achievements: extractSection(content, \"ACHIEVEMENTS\"),\n sources: extractSources(content),\n };\n\n const response: PersonEnrichmentResponse = {\n success: true,\n data: sections,\n };\n\n return new Response(JSON.stringify(response, null, 2), {\n status: 200,\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Error in person enrichment:\", error);\n\n const response: PersonEnrichmentResponse = {\n success: false,\n error:\n error instanceof Error ? error.message : \"Unknown error occurred\",\n };\n\n return new Response(JSON.stringify(response), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // Handle other methods\n return new Response(\n JSON.stringify({\n success: false,\n error: \"Method not allowed. Use GET or POST.\",\n }),\n {\n status: 405,\n headers: { \"Content-Type\": \"application/json\" },\n }\n );\n}\n\n// Helper function to extract sections from the response\nfunction extractSection(content: string, sectionName: string): string {\n const regex = new RegExp(\n `${sectionName}:?\\\\s*([\\\\s\\\\S]*?)(?=\\\\n\\\\d+\\\\.|\\\\n[A-Z_]+:|$)`,\n \"i\"\n );\n const match = content.match(regex);\n return match ? match[1].trim() : \"No information found\";\n}\n\n// Helper function to extract sources\nfunction extractSources(content: string): string[] {\n const sourcesSection = extractSection(content, \"SOURCES\");\n if (sourcesSection === \"No information found\") {\n return [];\n }\n\n // Try to extract URLs or source names from the sources section\n const urlRegex = /https?:\\/\\/[^\\s]+/g;\n const urls = sourcesSection.match(urlRegex) || [];\n\n // Also try to extract bullet points or numbered items\n const lines = sourcesSection\n .split(\"\\n\")\n .map((line) => line.trim())\n .filter(\n (line) => line.length > 0 && !urls.some((url) => line.includes(url))\n );\n\n return [...urls, ...lines].slice(0, 10); // Limit to 10 sources\n}\n",[],[99],"files",[150,168,179,186,194,204,213,222],"counts",{"_236":32,"_237":238,"_239":32,"_240":173},"pulls","branches",2,"forks","envVars","contents",[],{"_104":223,"_95":99,"_153":224,"_155":-5,"_156":138,"_157":225,"_159":22,"_106":244,"_100":227,"_161":228,"_163":229,"_164":22,"_165":-5,"_98":245},["D",1748890451575],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":254,"_148":259,"_232":284,"_200":285,"_241":287,"_288":-5,"_289":22,"_290":-5,"_291":-5,"_292":-5,"_293":294},{"_104":105,"_95":96,"_106":255,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":256,"_132":257,"_135":258,"_147":22},["D",1748885079132],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_100":137,"_95":43,"_104":138,"_139":105,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},[260,266,272,275,278,281],{"_104":151,"_95":152,"_153":154,"_155":-5,"_156":138,"_157":158,"_159":22,"_106":160,"_100":32,"_161":162,"_163":-5,"_164":22,"_165":-5,"_166":261,"_98":265},[262],{"_104":169,"_95":99,"_153":170,"_155":154,"_156":138,"_157":171,"_159":22,"_106":172,"_100":173,"_161":174,"_163":175,"_164":22,"_165":-5,"_166":263,"_98":264},[],[152,99],[152],{"_104":180,"_95":181,"_153":182,"_155":-5,"_156":138,"_157":183,"_159":22,"_106":184,"_100":32,"_161":162,"_163":-5,"_164":22,"_165":-5,"_166":267,"_98":271},[268],{"_104":187,"_95":99,"_153":188,"_155":182,"_156":138,"_157":101,"_159":22,"_106":189,"_100":32,"_161":174,"_163":190,"_164":22,"_165":-5,"_166":269,"_98":270},[],[181,99],[181],{"_104":195,"_95":196,"_153":197,"_155":-5,"_156":138,"_157":198,"_159":22,"_106":199,"_100":32,"_161":200,"_163":201,"_164":22,"_165":-5,"_166":273,"_98":274},[],[196],{"_104":205,"_95":206,"_153":207,"_155":-5,"_156":138,"_157":208,"_159":22,"_106":209,"_100":32,"_161":200,"_163":210,"_164":22,"_165":-5,"_166":276,"_98":277},[],[206],{"_104":214,"_95":215,"_153":216,"_155":-5,"_156":138,"_157":217,"_159":22,"_106":218,"_100":32,"_161":200,"_163":219,"_164":22,"_165":-5,"_166":279,"_98":280},[],[215],{"_104":223,"_95":99,"_153":224,"_155":-5,"_156":138,"_157":225,"_159":22,"_106":226,"_100":227,"_161":228,"_163":229,"_164":22,"_165":-5,"_166":282,"_98":283},[],[99],[260,262,266,268,272,275,278,281],{"_104":223,"_95":99,"_153":224,"_155":-5,"_156":138,"_157":225,"_159":22,"_106":244,"_100":227,"_161":228,"_163":229,"_164":22,"_165":-5,"_98":286},[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]

stevekrouse

openai_enrichment