[{"_1":2,"_173":-5,"_174":-5},"loaderData",{"_3":4,"_91":92},"root",{"_5":6,"_34":35,"_64":65},"ctx",{"_7":8,"_23":-5,"_24":25,"_26":27,"_28":20,"_29":20,"_30":20,"_31":32,"_33":20},"auth",{"_9":-5,"_10":-5,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5,"_18":-5,"_19":20,"_21":22},"sessionClaims","sessionId","sessionStatus","userId","actor","orgId","orgRole","orgSlug","orgPermissions","factorVerificationAge","isAuthenticated",false,"tokenType","session_token","user","preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","notificationCount",0,"flagDenols","ENV",{"_36":37,"_38":39,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59,"_60":61,"_62":63},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","VAL_RUNTIME_NAME","prod","RENDER_GIT_COMMIT","78328b63035f6043dcd490c05f2538f6acc4d6c8","RENDER_GIT_BRANCH","main","CLERK_PUBLISHABLE_KEY","pk_live_Y2xlcmsudmFsLnRvd24k","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","API_URL","https://api.val.town","clerkState",{"_66":67},"__internal_clerk_state",{"_68":69,"_70":45,"_71":72,"_73":72,"_74":20,"_75":72,"_76":72,"_77":72,"_78":72,"_79":80,"_89":20,"_90":20},"__clerk_ssr_state",{"_21":22,"_9":-5,"_10":-5,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5,"_18":-5,"_19":20},"__publishableKey","__proxyUrl","","__domain","__isSatellite","__signInUrl","__signUpUrl","__afterSignInUrl","__afterSignUpUrl","__clerk_debug",{"_81":20,"_19":20,"_82":72,"_83":84,"_85":72,"_86":45,"_87":20,"_88":72},"isSignedIn","proxyUrl","reason","session-token-and-uat-missing","message","publishableKey","isSatellite","domain","__telemetryDisabled","__telemetryDebug","routes/embed.x.$handle.$name.$",{"_93":94,"_95":96,"_97":98,"_99":100,"_147":148,"_170":171,"_172":-5},"handle","Cess","name","skillswapapappforcommunityskillexchange","path","backend/routes/matching.ts","project",{"_101":102,"_95":96,"_103":104,"_105":-5,"_106":20,"_107":108,"_109":-5,"_110":-5,"_12":111,"_112":-5,"_113":20,"_114":-5,"_115":116,"_14":117,"_118":119,"_120":119,"_121":122,"_123":122,"_124":122,"_125":119,"_126":119,"_23":127,"_130":131,"_133":134,"_146":20},"id","f5940a7c-3fa4-11f0-aa05-76b3cceeab13","createdAt",["D",1748863817576],"deletedAt","legacyEnvVars","privacy","public","description","imageUrl","a37c0b00-3fa3-11f0-b6e9-ab0b2f88b858","pinnedFileId","pinPreview","screenshotVersion","likeCount",1,"aa51fa98-a743-4468-8b23-b215c685353a","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm",{"_93":94,"_128":129},"profileImageUrl","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18yeHd5MjRkTHcyazFycGoycnREVHZIWXlnZGkifQ","org",{"_93":94,"_132":129},"avatar","branch",{"_135":136,"_95":43,"_101":137,"_138":102,"_139":-5,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":96,"_145":94},"version",24,"f5948dd0-3fa4-11f0-aa05-76b3cceeab13","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","isOwned","file",{"_101":149,"_95":150,"_151":152,"_153":154,"_155":137,"_156":157,"_158":159,"_103":160,"_135":32,"_161":162,"_163":164,"_165":20,"_166":-5,"_97":167},"7ef7583c-3fa5-11f0-bd8f-76b3cceeab13","matching.ts","fileId","7ef75904-3fa5-11f0-bd8f-76b3cceeab13","parentId","ed53dd82-7867-47c9-aeda-ec124e3d2fff","branchId","branchVersion",7,"latest",true,["D",1748864048071],"fileType","script","content","import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { \n getUserSkills, \n getSkillsByName, \n createSkillMatch, \n getMatchesForUser, \n updateMatchStatus,\n getUserById \n} from \"../database/queries.ts\";\nimport type { MatchingRequest, MatchingResponse, SkillMatch, ApiResponse } from \"../../shared/types.ts\";\n\nconst matching = new Hono();\nconst openai = new OpenAI();\n\n// AI-powered skill matching\nmatching.post(\"/find-matches\", async (c) => {\n try {\n const request: MatchingRequest = await c.req.json();\n \n if (!request.userId || !request.skillsToLearn || request.skillsToLearn.length === 0) {\n return c.json({ \n success: false, \n error: \"User ID and skills to learn are required\" \n }, 400);\n }\n\n const user = await getUserById(request.userId);\n if (!user) {\n return c.json({ \n success: false, \n error: \"User not found\" \n }, 404);\n }\n\n const matches = [];\n\n // Find potential teachers for each skill\n for (const skillName of request.skillsToLearn) {\n const teachers = await getSkillsByName(skillName, 'teach');\n \n // Filter out the user themselves\n const availableTeachers = teachers.filter(skill => skill.user_id !== request.userId);\n\n if (availableTeachers.length === 0) continue;\n\n // Get user's teaching skills for context\n const userTeachingSkills = await getUserSkills(request.userId, 'teach');\n const userSkillNames = userTeachingSkills.map(s => s.name);\n\n // Use AI to analyze compatibility and provide reasoning\n for (const teacherSkill of availableTeachers.slice(0, 3)) { // Limit to top 3 per skill\n try {\n const teacher = await getUserById(teacherSkill.user_id);\n if (!teacher) continue;\n\n const teacherSkills = await getUserSkills(teacher.id, 'teach');\n const teacherSkillNames = teacherSkills.map(s => s.name);\n\n const prompt = `\nAnalyze the compatibility between a learner and teacher for skill sharing:\n\nLEARNER PROFILE:\n- Name: ${user.name}\n- Bio: ${user.bio}\n- Skills they can teach: ${userSkillNames.join(', ') || 'None listed'}\n- Wants to learn: ${skillName}\n- Preferred teaching style: ${request.preferredTeachingStyle || 'Not specified'}\n\nTEACHER PROFILE:\n- Name: ${teacher.name}\n- Bio: ${teacher.bio}\n- Rating: ${teacher.rating}/5 (${teacher.total_sessions} sessions)\n- Can teach: ${teacherSkillNames.join(', ')}\n- Skill description: ${teacherSkill.description}\n- Proficiency level: ${teacherSkill.proficiency_level || 'Not specified'}\n\nProvide a compatibility score (0-100) and brief reasoning (max 100 words) focusing on:\n1. Teaching style match\n2. Skill level appropriateness\n3. Potential for mutual learning\n4. Communication compatibility\n\nFormat: {\"score\": number, \"reasoning\": \"string\"}`;\n\n const completion = await openai.chat.completions.create({\n messages: [{ role: \"user\", content: prompt }],\n model: \"gpt-4o-mini\",\n max_tokens: 150,\n temperature: 0.7\n });\n\n const aiResponse = completion.choices[0]?.message?.content;\n if (!aiResponse) continue;\n\n let analysis;\n try {\n analysis = JSON.parse(aiResponse);\n } catch {\n // Fallback if AI doesn't return valid JSON\n analysis = {\n score: Math.floor(Math.random() * 30) + 70, // 70-100 range\n reasoning: \"Good potential match based on skill compatibility and user profiles.\"\n };\n }\n\n matches.push({\n teacher,\n skill: teacherSkill,\n compatibilityScore: analysis.score,\n reasoning: analysis.reasoning\n });\n\n } catch (error) {\n console.error(\"Error in AI analysis:\", error);\n // Continue with other matches even if one fails\n }\n }\n }\n\n // Sort by compatibility score and limit results\n matches.sort((a, b) => b.compatibilityScore - a.compatibilityScore);\n const topMatches = matches.slice(0, 10);\n\n return c.json>({ \n success: true, \n data: { matches: topMatches }\n });\n\n } catch (error) {\n console.error(\"Error finding matches:\", error);\n return c.json({ \n success: false, \n error: \"Failed to find matches\" \n }, 500);\n }\n});\n\n// Create a skill match request\nmatching.post(\"/create-match\", async (c) => {\n try {\n const matchData = await c.req.json();\n \n if (!matchData.learner_id || !matchData.teacher_id || !matchData.skill_name) {\n return c.json({ \n success: false, \n error: \"Learner ID, teacher ID, and skill name are required\" \n }, 400);\n }\n\n // Prevent self-matching\n if (matchData.learner_id === matchData.teacher_id) {\n return c.json({ \n success: false, \n error: \"Cannot create match with yourself\" \n }, 400);\n }\n\n const skillMatch = await createSkillMatch({\n learner_id: matchData.learner_id,\n teacher_id: matchData.teacher_id,\n skill_name: matchData.skill_name,\n compatibility_score: matchData.compatibility_score || 0,\n ai_reasoning: matchData.ai_reasoning || '',\n status: 'pending'\n });\n\n return c.json>({ \n success: true, \n data: skillMatch \n });\n } catch (error) {\n console.error(\"Error creating match:\", error);\n return c.json({ \n success: false, \n error: \"Failed to create match\" \n }, 500);\n }\n});\n\n// Get matches for a user\nmatching.get(\"/user/:userId\", async (c) => {\n try {\n const userId = parseInt(c.req.param(\"userId\"));\n if (isNaN(userId)) {\n return c.json({ \n success: false, \n error: \"Invalid user ID\" \n }, 400);\n }\n\n const status = c.req.query(\"status\");\n const matches = await getMatchesForUser(userId, status);\n\n return c.json>({ \n success: true, \n data: matches \n });\n } catch (error) {\n console.error(\"Error fetching matches:\", error);\n return c.json({ \n success: false, \n error: \"Failed to fetch matches\" \n }, 500);\n }\n});\n\n// Update match status (accept/decline)\nmatching.put(\"/:matchId/status\", async (c) => {\n try {\n const matchId = parseInt(c.req.param(\"matchId\"));\n if (isNaN(matchId)) {\n return c.json({ \n success: false, \n error: \"Invalid match ID\" \n }, 400);\n }\n\n const { status } = await c.req.json();\n \n if (!['accepted', 'declined', 'completed'].includes(status)) {\n return c.json({ \n success: false, \n error: \"Invalid status. Must be 'accepted', 'declined', or 'completed'\" \n }, 400);\n }\n\n const updatedMatch = await updateMatchStatus(matchId, status);\n if (!updatedMatch) {\n return c.json({ \n success: false, \n error: \"Match not found\" \n }, 404);\n }\n\n return c.json>({ \n success: true, \n data: updatedMatch \n });\n } catch (error) {\n console.error(\"Error updating match status:\", error);\n return c.json({ \n success: false, \n error: \"Failed to update match status\" \n }, 500);\n }\n});\n\n// Get AI-powered learning recommendations\nmatching.get(\"/recommendations/:userId\", async (c) => {\n try {\n const userId = parseInt(c.req.param(\"userId\"));\n if (isNaN(userId)) {\n return c.json({ \n success: false, \n error: \"Invalid user ID\" \n }, 400);\n }\n\n const user = await getUserById(userId);\n if (!user) {\n return c.json({ \n success: false, \n error: \"User not found\" \n }, 404);\n }\n\n const userSkills = await getUserSkills(userId);\n const teachingSkills = userSkills.filter(s => s.type === 'teach').map(s => s.name);\n const learningSkills = userSkills.filter(s => s.type === 'learn').map(s => s.name);\n\n const prompt = `\nBased on this user's profile, suggest 5 new skills they might want to learn:\n\nUSER PROFILE:\n- Name: ${user.name}\n- Bio: ${user.bio}\n- Skills they can teach: ${teachingSkills.join(', ') || 'None listed'}\n- Skills they're learning: ${learningSkills.join(', ') || 'None listed'}\n\nSuggest skills that:\n1. Complement their existing skills\n2. Are popular and in-demand\n3. Match their apparent interests\n4. Offer good learning opportunities\n\nReturn as JSON array: [\"skill1\", \"skill2\", \"skill3\", \"skill4\", \"skill5\"]`;\n\n const completion = await openai.chat.completions.create({\n messages: [{ role: \"user\", content: prompt }],\n model: \"gpt-4o-mini\",\n max_tokens: 100,\n temperature: 0.8\n });\n\n const aiResponse = completion.choices[0]?.message?.content;\n let recommendations;\n \n try {\n recommendations = JSON.parse(aiResponse || '[]');\n } catch {\n // Fallback recommendations\n recommendations = [\n \"Communication Skills\",\n \"Time Management\", \n \"Critical Thinking\",\n \"Digital Marketing\",\n \"Data Analysis\"\n ];\n }\n\n return c.json>({ \n success: true, \n data: recommendations \n });\n\n } catch (error) {\n console.error(\"Error getting recommendations:\", error);\n return c.json({ \n success: false, \n error: \"Failed to get recommendations\" \n }, 500);\n }\n});\n\nexport default matching;","deleted","label",[168,169,150],"backend","routes","permalink","https://www.val.town/x/Cess/skillswapapappforcommunityskillexchange/code/backend/routes/matching.ts","extension","actionData","errors"]