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node\n// Simple Node.js direct executor server using MCP SDK\n\nimport * as path from 'node:path';\nimport { Server as McpServer } from \"@m...","mtime":1746656928988.3335,"doc":"Simple Node.js direct executor server using MCP 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function initCodeSearch() {\n  try {\n    await initialize();\n    // Perform initial indexing of the working directory\n    await syncIndex([workingDir]);\n  } catch (error) {\n    // Silently handle errors\n  }\n}","mtime":1746656928988.3335,"doc":"","isExported":false,"parameters":[],"returnType":"","complexity":2.5,"relationships":{"calls":["initCodeSearch","initialize","syncIndex"],"dependencies":["async","try","await","Perform","initial","indexing","of","the","working","directory","workingDir","error","Silently","handle","errors"]},"embedding":[-0.08781925588846207,-0.03369159623980522,-0.03237012401223183,0.0912199467420578,0.005034822504967451,-0.07231970876455307,-0.05490465834736824,-0.03894420713186264,-0.032563935965299606,-0.056220635771751404,0.0722038522362709,-0.0037366156466305256,-0.017988942563533783,-0.0366952158510685,-0.09633461385965347,-0.014547471888363361,-0.018712569028139114,-0.014304270036518574,0.04425537586212158,-0.004789297468960285,0.007069968618452549,0.012493997812271118,-0.007649344392120838,-0.037984393537044525,-0.05324471369385719,-0.0615445114672184,-0.10754948854446411,-0.1051502451300621,-0.0015821558190509677,0.01948004588484764,0.09522932022809982,0.04812168702483177,-0.02514120563864708,0.08426184207201004,0.01567547395825386,0.07421351224184036,0.01587653160095215,-0.04301133751869202,0.028899170458316803,-0.00021484131866600364,0.03716046363115311,0.0019466809462755919,-0.014218209311366081,0.013348639942705631,0.007890788838267326,-0.0970865786075592,-0.00832141749560833,0.03695604205131531,-0.023386046290397644,-0.01858968660235405,-0.12190503627061844,0.08738066256046295,-0.03152800723910332,-0.05554194748401642,0.06770821660757065,0.00035131783806718886,0.016678834334015846,0.07889015972614288,-0.01836596429347992,0.010733800008893013,0.17346996068954468,-0.007652584463357925,0.01753697730600834,-0.021952461451292038,0.0533098466694355,-0.006035471800714731,0.08940983563661575,-0.07730382680892944,0.022066179662942886,-0.04906719550490379,0.033926792442798615,0.036693088710308075,-0.05877258628606796,0.07799933850765228,0.04020386561751366,0.03376943990588188,0.023326007649302483,0.014739134348928928,-0.0025622996035963297,-0.0855395570397377,-0.026520278304815292,-0.014390693977475166,0.07123944908380508,0.05712931975722313,0.010404615662992,0.04587315395474434,-0.02774062566459179,-0.0190651286393404,0.047112539410591125,-0.05688364431262016,0.07110510021448135,-0.09601350128650665,-0.15753890573978424,-0.016680976375937462,0.03352165222167969,0.010851401835680008,0.021913085132837296,0.1255006492137909,-0.017122019082307816,-0.04854613542556763,-0.06473465263843536,-0.027337778359651566,-0.071501724421978,-0.02305019274353981,-0.06607978045940399,0.017017703503370285,0.0365980789065361,-0.06917967647314072,-0.07986919581890106,-0.04242957755923271,-0.012018837034702301,0.0002131094370270148,0.02637416310608387,-0.006404949352145195,0.03724288195371628,0.007237575948238373,0.03547458350658417,0.02309565432369709,0.08778906613588333,0.1320420652627945,0.14208662509918213,0.024303387850522995,0.00863918662071228,-0.04324321448802948,-0.060337964445352554,-0.02719215489923954,0.002498266054317355,5.801883059249749e-33,0.01127723976969719,0.004832741804420948,0.03474344313144684,0.030931303277611732,-0.056340061128139496,-0.04906361550092697,0.07519613206386566,0.008316803723573685,-0.06299175322055817,0.05670242756605148,-0.01777617447078228,0.0022118790075182915,-0.03862243518233299,-0.0667107105255127,0.02259635739028454,-0.013894567266106606,0.028818611055612564,0.02408585324883461,-0.0559118390083313,0.008801138028502464,0.04170851781964302,-0.02640189602971077,-0.020830558612942696,-0.07498335838317871,0.02787272073328495,0.007306169252842665,0.007484861649572849,-0.007917951792478561,0.09909800440073013,0.038465339690446854,0.014849030412733555,-0.01946076937019825,-0.06518661230802536,0.0498192124068737,-0.014391377568244934,0.039708830416202545,-0.07617650926113129,0.06501935422420502,-0.11790268123149872,-0.0064801787957549095,-0.02889489382505417,0.0012755350908264518,-0.05361757054924965,-0.05442221090197563,-0.013245419599115849,-0.0326574482023716,-0.0449337475001812,0.0024714169558137655,0.08292490243911743,0.050681620836257935,0.013382240198552608,0.018151286989450455,-0.020292727276682854,-0.02847963385283947,0.07808785885572433,0.048898179084062576,0.040295299142599106,-0.05865315720438957,-0.004940461833029985,0.08793935179710388,-0.02778754010796547,-0.13084353506565094,-0.06339539587497711,-0.038586024194955826,-0.0024107061326503754,-0.07164444774389267,-0.0005781617946922779,-0.11129940301179886,-0.0019372275564819574,0.0864502564072609,-0.010585838928818703,0.04862836003303528,0.03426152840256691,-0.021735692396759987,0.07296305149793625,-0.02828110009431839,-0.041626304388046265,-0.010599794797599316,-0.06689795106649399,-0.0652872696518898,-0.028878191486001015,-0.07812537997961044,-0.023681942373514175,0.041628122329711914,0.042624615132808685,0.04299115017056465,-0.043331079185009,0.033749036490917206,-0.052632417529821396,-0.006810634862631559,0.08425848186016083,-0.00034550396958366036,-0.013298827223479748,-0.11400887370109558,0.00843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cosineSimilarity(vecA, vecB) {\r\n  const dotProduct = vecA.reduce((sum, a, i) => sum + a * vecB[i], 0);\r\n  const magnitudeA = Math.sqrt(vecA.reduce((sum, a) => sum + a * a, 0));\r\n  const magnitudeB = Math.sqrt(vecB.reduce((sum, b) => sum + b * b, 0));\r\n  return dotProduct / (magnitudeA * magnitudeB);\r\n}","mtime":1746656909685.8396,"doc":"Helper to calculate cosine similarity between two vectors","isExported":false,"parameters":[{"name":"vecA","type":""},{"name":"vecB","type":""}],"returnType":"inferred","complexity":1.5,"relationships":{"calls":["cosineSimilarity","reduce","sqrt"],"dependencies":["vecA","vecB","dotProduct","sum","a","i","0","magnitudeA","Math","magnitudeB","b"]},"embedding":[-0.010299904271960258,-0.01673160307109356,-0.10378172993659973,-0.08062418550252914,-0.014040609821677208,-0.019345015287399292,-0.06372121721506119,0.06549377739429474,-0.055166490375995636,0.0037164967507123947,0.01750047132372856,-0.04038199037313461,0.015810471028089523,0.0136003652587533,-0.03470607101917267,0.002729695523157716,0.021141977980732918,0.03010150045156479,-0.027485758066177368,-0.03594331070780754,0.02644444815814495,-0.009043136611580849,-0.07353157550096512,-0.0032638004049658775,0.07887134701013565,-0.017964044585824013,0.01094053778797388,-0.021787410601973534,0.039448413997888565,0.012834213674068451,0.04960405454039574,-0.0034744548611342907,0.03319144248962402,-0.025184771046042442,-0.10211537033319473,0.008889241144061089,0.02387709729373455,-0.009920235723257065,0.030777661129832268,-0.00846264511346817,-0.03401990234851837,0.07727313041687012,-0.001383374910801649,0.09606880694627762,0.011726103723049164,0.05558835715055466,-0.01929655112326145,-0.01187681220471859,-0.008116699755191803,-0.0687175765633583,-0.06396657228469849,0.03396615386009216,-0.15309861302375793,-0.03329794481396675,0.013214006088674068,-0.004455144051462412,-0.028456654399633408,-0.003426759270951152,0.0941341370344162,0.021837180480360985,0.026975117623806,-0.08340644836425781,0.09276776015758514,0.018353160470724106,0.0511307418346405,-0.00019623721891548485,0.06084034964442253,-0.02927483431994915,-0.02884802781045437,0.023746993392705917,-0.033938199281692505,0.006352014373987913,-0.08814305067062378,0.03576859459280968,0.018224040046334267,0.05994846671819687,-0.03372830152511597,0.0388469323515892,0.03771428018808365,-0.07366212457418442,-0.001189152360893786,-0.021724866703152657,-0.020687270909547806,-0.0054590110667049885,0.050086040049791336,0.02829033136367798,-0.04240625351667404,-0.07675706595182419,0.13758480548858643,-0.007891939952969551,-0.011698934249579906,-0.01958945393562317,-0.05493944138288498,-0.011289379559457302,-0.03136974573135376,-0.06066928803920746,-0.027607055380940437,0.07280510663986206,-0.048874545842409134,-0.012949141673743725,0.027964984998106956,-0.02168169617652893,0.012161114253103733,-0.043638888746500015,-0.039871297776699066,0.02897942066192627,0.14249415695667267,0.05616489797830582,0.09461791068315506,-0.01342062558978796,-0.008917972445487976,0.10417354851961136,-0.0006612379802390933,0.009668271988630295,-0.011639189906418324,0.08845299482345581,0.07714849710464478,-0.014309944584965706,0.14427852630615234,-0.015068279579281807,0.004903594963252544,0.01937187649309635,-0.03231429681181908,0.03905456140637398,-0.033440351486206055,-0.044834963977336884,-0.05588803440332413,9.859480908041014e-33,-0.08183911442756653,0.08753033727407455,0.024255184456706047,0.008307239040732384,-0.09028735756874084,-0.008162732236087322,-0.04731736704707146,-0.03380395472049713,-0.04840996861457825,0.05942881479859352,-0.07754302769899368,0.0632612407207489,-0.017328700050711632,-0.003303208854049444,0.03703201934695244,0.0014010027516633272,0.0350220650434494,-0.012384766712784767,-0.04421808943152428,-0.07433168590068817,0.0564986988902092,-0.03174196556210518,-0.04949641600251198,0.06941504776477814,-0.011499321088194847,-0.0631457045674324,0.052331212908029556,-0.01454228162765503,-0.06159740313887596,0.003606854472309351,0.014446967281401157,-0.001695070182904601,-0.008384635671973228,0.03506112098693848,0.04231775924563408,-0.007513250689953566,-0.007470959331840277,-0.007787750102579594,-0.0016940819332376122,-0.012478668242692947,-0.035351429134607315,0.03588686138391495,-0.045499835163354874,-0.049220677465200424,0.035382259637117386,-0.03756781667470932,-0.011285433545708656,0.05169703811407089,0.028385799378156662,-0.010086500085890293,-0.06480103731155396,0.006270935758948326,0.021746516227722168,0.09618845582008362,0.04159791022539139,-0.030582882463932037,0.028518619015812874,0.01649467833340168,0.022228341549634933,0.09083269536495209,-0.023828236386179924,0.02721642516553402,0.016397425904870033,-0.06912065297365189,-0.03143562376499176,-0.0529697984457016,-0.07781169563531876,-0.014561880379915237,0.050149302929639816,0.023566093295812607,0.054934076964855194,0.0633520856499672,-0.051243603229522705,-0.04957076534628868,0.060630541294813156,-0.044157519936561584,0.021673407405614853,-0.03757977485656738,-0.07122890651226044,-0.044602345675230026,-0.09410837292671204,0.04755270108580589,0.09297015517950058,-0.10080017894506454,-0.05928531661629677,-0.03739401698112488,0.004775256384164095,-0.06453195214271545,-0.0724557638168335,-0.017093805596232414,0.023807071149349213,0.05268058553338051,-0.008509356528520584,0.05226054787635803,-0.04373803734779358,-7.8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async function initialize(indexDir = INDEX_DIR) {\r\n  if (isInitialized) return true;\r\n\r\n  try {\r\n    // Create index directory if it doesn't exist\r\n    if (!existsSync(indexDir)) {\r\n      mkdirSync(indexDir, { recursive: true });\r\n    }\r\n\r\n    // Initialize embedding model\r\n    try {\r\n      embedder = await pipeline('feature-extraction', DEFAULT_MODEL);\r\n    } catch (modelError) {\r\n      // Fallback to a model that works well with Xenova\r\n      embedder = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');\r\n    }\r\n\r\n    // Load existing index if available\r\n    const indexPath = path.join(indexDir, INDEX_FILE);\r\n    \r\n    if (existsSync(indexPath)) {\r\n      try {\r\n        const data = readFileSync(indexPath, 'utf8');\r\n        codeChunks = JSON.parse(data);\r\n        chunkIds = codeChunks.map(chunk => chunk.id);\r\n      } catch (error) {\r\n        codeChunks = [];\r\n        chunkIds = [];\r\n      }\r\n    } else {\r\n      codeChunks = [];\r\n      chunkIds = [];\r\n    }\r\n\r\n    isInitialized = true;\r\n    return true;\r\n  } catch (error) {\r\n    return false;\r\n  }\r\n}","mtime":1746656909685.8396,"doc":"Initialize the in-memory index and embedding 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async function gatherFiles(dir, exts = DEFAULT_EXTS, ignores = DEFAULT_IGNORES) {\r\n  const results = [];\r\n  \r\n  try {\r\n    // Parse .gitignore in the root directory\r\n    const gitignorePatterns = parseGitignore(dir);\r\n    const allIgnores = [...ignores, ...gitignorePatterns];\r\n    \r\n    const entries = await fs.readdir(dir, { withFileTypes: true });\r\n    \r\n    for (const entry of entries) {\r\n      const full = path.join(dir, entry.name);\r\n      \r\n      // Check if the path should be ignored based on standard ignores or .gitignore\r\n      const isIgnoredByPattern = ignores.some(p => full.includes(p));\r\n      const isIgnoredByGitignore = shouldIgnorePath(full, gitignorePatterns, dir);\r\n      \r\n      if (isIgnoredByPattern || isIgnoredByGitignore) {\r\n        continue;\r\n      }\r\n      \r\n      if (entry.isDirectory()) {\r\n        const subDirFiles = await gatherFiles(full, exts, ignores);\r\n        results.push(...subDirFiles);\r\n      } else if (exts.includes(path.extname(entry.name).slice(1))) {\r\n        results.push(full);\r\n      }\r\n    }\r\n  } catch (error) {\r\n    // Silently handle errors\r\n  }\r\n  \r\n  return results;\r\n}","mtime":1746656909685.8396,"doc":"Gather files for 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extractParameters(signature) {\r\n  const paramMatch = signature.match(/\\((.*?)\\)/);\r\n  if (!paramMatch || !paramMatch[1]) return [];\r\n  \r\n  const paramString = paramMatch[1].trim();\r\n  if (!paramString) return [];\r\n  \r\n  return paramString.split(',')\r\n    .map(param => {\r\n      // Handle destructuring or complex params\r\n      const cleanParam = param.trim().replace(/[{}[\\]]/g, '');\r\n      const parts = cleanParam.split('='); // Handle default values\r\n      const nameWithType = parts[0].trim();\r\n      \r\n      // Try to separate type annotations (for TypeScript)\r\n      const typeSplit = nameWithType.split(':');\r\n      const name = typeSplit[0].trim();\r\n      const type = typeSplit.length > 1 ? typeSplit[1].trim() : '';\r\n      \r\n      return { name, type };\r\n    })\r\n    .filter(p => p.name && p.name !== '');\r\n}","mtime":1746656909685.8396,"doc":"Extract parameters from function or method 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extractReturnType(signature, code) {","mtime":1746656909685.8396,"doc":"Extract return type from function signature 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calculateComplexity(code) {\r\n  let complexity = 1; // Base complexity\r\n  \r\n  // Count control flow statements\r\n  const controlFlow = (code.match(/if|else|for|while|switch|case|catch|try|return|throw/g) || []).length;\r\n  complexity += controlFlow * 0.5;\r\n  \r\n  // Count logical operators\r\n  const logicalOps = (code.match(/&&|\\|\\|/g) || []).length;\r\n  complexity += logicalOps * 0.3;\r\n  \r\n  return parseFloat(complexity.toFixed(1));\r\n}","mtime":1746656909685.8396,"doc":"Calculate code complexity 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extractFunctionCalls(code) {\r\n  const calls = [];\r\n  const callRegex = /(\\w+)\\s*\\(/g;\r\n  let callMatch;\r\n  \r\n  while ((callMatch = callRegex.exec(code)) !== null) {\r\n    const calledFunc = callMatch[1];\r\n    // Filter out common keywords that can appear before parentheses\r\n    if (!['if', 'for', 'while', 'switch', 'catch', 'function'].includes(calledFunc)) {\r\n      calls.push(calledFunc);\r\n    }\r\n  }\r\n  \r\n  return [...new Set(calls)]; // Remove duplicates\r\n}","mtime":1746656909685.8396,"doc":"Extract function calls from 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extractDependencies(code) {\r\n  // Simple regex to find variable usage\r\n  const dependencies = [];\r\n  const varRegex = /(\\b\\w+\\b)(?!\\s*\\(|:)/g;\r\n  let varMatch;\r\n  \r\n  while ((varMatch = varRegex.exec(code)) !== null) {\r\n    const varName = varMatch[1];\r\n    // Filter out keywords and common primitives\r\n    if (!['let', 'const', 'var', 'function', 'class', 'if', 'else', 'return', \r\n         'true', 'false', 'null', 'undefined', 'this', 'super'].includes(varName)) {\r\n      dependencies.push(varName);\r\n    }\r\n  }\r\n  \r\n  return [...new Set(dependencies)]; // Remove duplicates\r\n}","mtime":1746656909685.8396,"doc":"Extract dependencies from 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function generateEmbedding(text) {\r\n  try {\r\n    if (!embedder) {\r\n      return null;\r\n    }\r\n    \r\n    const output = await embedder(text, { \r\n      pooling: 'mean',\r\n      normalize: true \r\n    });\r\n    \r\n    return Array.from(output.data);\r\n  } catch (error) {\r\n    return null;\r\n  }\r\n}","mtime":1746656909685.8396,"doc":"Generate embedding for a 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function saveIndex(indexDir = INDEX_DIR) {\r\n  try {\r\n    // Save code chunks\r\n    const indexPath = path.join(indexDir, INDEX_FILE);\r\n    await fs.writeFile(indexPath, JSON.stringify(codeChunks));\r\n    \r\n    return true;\r\n  } catch (error) {\r\n    return false;\r\n  }\r\n}","mtime":1746656909685.8396,"doc":"Save index to 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async function syncIndex(folders, exts = DEFAULT_EXTS, ignores = DEFAULT_IGNORES) {\r\n  if (!isInitialized) {\r\n    await initialize();\r\n  }\r\n  \r\n  // Gather all files\r\n  const files = [];\r\n  for (const folder of folders) {\r\n    const folderFiles = await gatherFiles(folder, exts, ignores);\r\n    files.push(...folderFiles);\r\n  }\r\n  \r\n  // Process files and extract chunks\r\n  let newChunksCount = 0;\r\n  const allNewChunks = [];\r\n  const updatedChunkIds = new Set();\r\n  \r\n  for (const file of files) {\r\n    try {\r\n      const fileChunks = await extractChunks(file);\r\n      \r\n      for (const chunk of fileChunks) {\r\n        updatedChunkIds.add(chunk.id);\r\n        \r\n        // Check if chunk exists with the same mtime\r\n        const existingIndex = chunkIds.indexOf(chunk.id);\r\n        if (existingIndex !== -1 && codeChunks[existingIndex].mtime === chunk.mtime) {\r\n          continue;\r\n        }\r\n        \r\n        // Generate embedding for the chunk\r\n        const text = createEmbeddingText(chunk);\r\n        chunk.embedding = await generateEmbedding(text);\r\n        \r\n        allNewChunks.push(chunk);\r\n        newChunksCount++;\r\n      }\r\n    } catch (error) {\r\n      // Silently handle errors\r\n    }\r\n  }\r\n  \r\n  // Find chunks to delete (chunks not in updated files)\r\n  const chunksToDelete = codeChunks.filter(chunk => !updatedChunkIds.has(chunk.id));\r\n  \r\n  // Update the in-memory index\r\n  if (allNewChunks.length > 0 || chunksToDelete.length > 0) {\r\n    // Remove deleted chunks\r\n    for (const chunk of chunksToDelete) {\r\n      const index = chunkIds.indexOf(chunk.id);\r\n      if (index !== -1) {\r\n        // Remove from code chunks array\r\n        codeChunks.splice(index, 1);\r\n        chunkIds.splice(index, 1);\r\n      }\r\n    }\r\n    \r\n    // Add new chunks\r\n    for (const chunk of allNewChunks) {\r\n      const existingIndex = chunkIds.indexOf(chunk.id);\r\n      if (existingIndex !== -1) {\r\n        // Update existing chunk\r\n        codeChunks[existingIndex] = chunk;\r\n      } else {\r\n        // Add new chunk\r\n        codeChunks.push(chunk);\r\n        chunkIds.push(chunk.id);\r\n      }\r\n    }\r\n    \r\n    // Save the updated index\r\n    await saveIndex();\r\n  }\r\n  \r\n  return { \r\n    total: codeChunks.length, \r\n    new: newChunksCount,\r\n    deleted: chunksToDelete.length\r\n  };\r\n}","mtime":1746656909685.8396,"doc":"Synchronize the index with the file 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textMatchScore(query, chunk) {\r\n  // Normalize query and text\r\n  const normalizedQuery = query.toLowerCase();\r\n  const normalizedCode = chunk.code ? chunk.code.toLowerCase() : '';\r\n  const normalizedName = chunk.name ? chunk.name.toLowerCase() : '';\r\n  const normalizedQualifiedName = chunk.qualifiedName ? chunk.qualifiedName.toLowerCase() : '';\r\n  const normalizedDoc = chunk.doc ? chunk.doc.toLowerCase() : '';\r\n  \r\n  let score = 0;\r\n  \r\n  // Check exact matches in name (highest weight)\r\n  if (normalizedName === normalizedQuery || normalizedQualifiedName === normalizedQuery) {\r\n    score += 1.0;\r\n  }\r\n  // Check if name contains query\r\n  else if (normalizedName.includes(normalizedQuery) || normalizedQualifiedName.includes(normalizedQuery)) {\r\n    score += 0.8;\r\n  }\r\n  \r\n  // Check if doc contains query\r\n  if (normalizedDoc.includes(normalizedQuery)) {\r\n    score += 0.5;\r\n  }\r\n  \r\n  // Check if code contains query\r\n  if (normalizedCode.includes(normalizedQuery)) {\r\n    score += 0.3;\r\n  }\r\n  \r\n  // Check individual words\r\n  const queryWords = normalizedQuery.split(/\\s+/);\r\n  for (const word of queryWords) {\r\n    if (word.length < 3) continue; // Skip very short words\r\n    \r\n    if (normalizedName.includes(word) || normalizedQualifiedName.includes(word)) {\r\n      score += 0.2;\r\n    }\r\n    if (normalizedDoc.includes(word)) {\r\n      score += 0.1;\r\n    }\r\n    if (normalizedCode.includes(word)) {\r\n      score += 0.05;\r\n    }\r\n  }\r\n  \r\n  return Math.min(score, 1.0); // Cap at 1.0\r\n}","mtime":1746656909685.8396,"doc":"Calculate text match score based on keyword 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async function queryIndex(query, topK = 8) {\r\n  if (!isInitialized) {\r\n    await initialize();\r\n  }\r\n  \r\n  try {\r\n    if (codeChunks.length === 0) {\r\n      return [];\r\n    }\r\n    \r\n    // Generate embedding for the query\r\n    const queryEmbedding = await generateEmbedding(query);\r\n    \r\n    let scoredResults = [];\r\n    \r\n    // If we have a valid embedding, do vector search\r\n    if (queryEmbedding) {\r\n      try {\r\n        // Score all chunks using vector similarity\r\n        scoredResults = codeChunks.map(chunk => {\r\n          // Calculate vector similarity if chunk has embedding\r\n          let similarityScore = 0;\r\n          if (chunk.embedding) {\r\n            similarityScore = cosineSimilarity(queryEmbedding, chunk.embedding);\r\n          }\r\n          \r\n          // Get text match score\r\n          const textScore = textMatchScore(query, chunk);\r\n          \r\n          // Combine scores (70% vector similarity, 30% text matching)\r\n          const combinedScore = (similarityScore * 0.7) + (textScore * 0.3);\r\n          \r\n          return {\r\n            score: combinedScore,\r\n            chunk\r\n          };\r\n        });\r\n      } catch (error) {\r\n        // Fall back to text-based search\r\n        scoredResults = codeChunks.map(chunk => ({\r\n          score: textMatchScore(query, chunk),\r\n          chunk\r\n        }));\r\n      }\r\n    } else {\r\n      // Use text-based search only\r\n      scoredResults = codeChunks.map(chunk => ({\r\n        score: textMatchScore(query, chunk),\r\n        chunk\r\n      }));\r\n    }\r\n    \r\n    // Filter out zero scores and sort by score descending\r\n    const filteredResults = scoredResults\r\n      .filter(result => result.score > 0)\r\n      .sort((a, b) => b.score - a.score)\r\n      .slice(0, topK);\r\n    \r\n    // Format results for display\r\n    const results = filteredResults.map(result => {\r\n      const chunk = result.chunk;\r\n      \r\n      // Base result structure\r\n      const formattedResult = {\r\n        score: parseFloat(result.score.toFixed(3)),\r\n        file: chunk.file,\r\n        startLine: chunk.startLine + 1,\r\n        endLine: chunk.endLine + 1,\r\n        type: chunk.type,\r\n        name: chunk.name || '',\r\n        qualifiedName: chunk.qualifiedName || '',\r\n        lines: chunk.lines,\r\n        doc: chunk.doc || '',\r\n        code: chunk.code ? (chunk.code.length > 140 ? \r\n          chunk.code.replace(/\\s+/g, ' ').slice(0, 140) + '...' : \r\n          chunk.code.replace(/\\s+/g, ' ')\r\n        ) : ''\r\n      };\r\n      \r\n      // Add structural metadata based on chunk type\r\n      switch (chunk.type) {\r\n        case 'file':\r\n          formattedResult.structure = {\r\n            childCount: chunk.children ? chunk.children.length : 0,\r\n            exportCount: chunk.exports ? chunk.exports.length : 0\r\n          };\r\n          break;\r\n          \r\n        case 'function':\r\n          formattedResult.structure = {\r\n            isExported: chunk.isExported || false,\r\n            complexity: chunk.complexity || 1,\r\n            parameters: chunk.parameters || [],\r\n            returnType: chunk.returnType || '',\r\n            calls: chunk.relationships?.calls || []\r\n          };\r\n          break;\r\n          \r\n        case 'class':\r\n          formattedResult.structure = {\r\n            isExported: chunk.isExported || false,\r\n            methodCount: chunk.methods ? chunk.methods.length : 0,\r\n            propertyCount: chunk.properties ? chunk.properties.length : 0,\r\n            parentClass: chunk.parentClass || null,\r\n            inheritsFrom: chunk.relationships?.inheritsFrom || null\r\n          };\r\n          break;\r\n          \r\n        case 'method':\r\n          formattedResult.structure = {\r\n            parentClass: chunk.parentClass || '',\r\n            isStatic: chunk.isStatic || false,\r\n            complexity: chunk.complexity || 1,\r\n            parameters: chunk.parameters || [],\r\n            returnType: chunk.returnType || '',\r\n            calls: chunk.relationships?.calls || []\r\n          };\r\n          break;\r\n          \r\n        case 'property':\r\n          formattedResult.structure = {\r\n            parentClass: chunk.parentClass || '',\r\n            isStatic: chunk.isStatic || false,\r\n            propertyType: chunk.propertyType || ''\r\n          };\r\n          break;\r\n          \r\n        case 'import':\r\n          formattedResult.structure = {\r\n            modulePath: chunk.modulePath || '',\r\n            importedElements: chunk.elements || []\r\n          };\r\n          break;\r\n          \r\n        case 'export':\r\n          formattedResult.structure = {\r\n            exportedElements: chunk.elements || []\r\n          };\r\n          break;\r\n      }\r\n      \r\n      // Add relationships data if available\r\n      if (chunk.relationships) {\r\n        formattedResult.relationships = {};\r\n        \r\n        if (chunk.relationships.calls && chunk.relationships.calls.length > 0) {\r\n          formattedResult.relationships.calls = chunk.relationships.calls;\r\n        }\r\n        \r\n        if (chunk.relationships.dependencies && chunk.relationships.dependencies.length > 0) {\r\n          formattedResult.relationships.dependencies = chunk.relationships.dependencies;\r\n        }\r\n        \r\n        if (chunk.relationships.inheritsFrom) {\r\n          formattedResult.relationships.inheritsFrom = chunk.relationships.inheritsFrom;\r\n        }\r\n        \r\n        if (chunk.relationships.dependsOn) {\r\n          formattedResult.relationships.dependsOn = chunk.relationships.dependsOn;\r\n        }\r\n      }\r\n      \r\n      return formattedResult;\r\n    });\r\n    \r\n    return results;\r\n  } catch (error) {\r\n    return [];\r\n  }\r\n}","mtime":1746656909685.8396,"doc":"Query the 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async function initialize(indexDir = INDEX_DIR) {\r\n  if (isInitialized) return true;","file":"C:\\dev\\mcp-repl\\src\\js-vector-indexer.js","startLine":96,"endLine":97,"lines":2,"code":"export async function initialize(indexDir = INDEX_DIR) {\r\n  if (isInitialized) return 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async function gatherFiles(dir, exts = DEFAULT_EXTS, ignores = DEFAULT_IGNORES) {\r\n  const results = [];","file":"C:\\dev\\mcp-repl\\src\\js-vector-indexer.js","startLine":138,"endLine":139,"lines":2,"code":"export async function gatherFiles(dir, exts = DEFAULT_EXTS, ignores = DEFAULT_IGNORES) {\r\n  const results = 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async function syncIndex(folders, exts = DEFAULT_EXTS, ignores = DEFAULT_IGNORES) {\r\n  if (!isInitialized) {\r\n    await initialize();","file":"C:\\dev\\mcp-repl\\src\\js-vector-indexer.js","startLine":776,"endLine":778,"lines":3,"code":"export async function syncIndex(folders, exts = DEFAULT_EXTS, ignores = DEFAULT_IGNORES) {\r\n  if (!isInitialized) {\r\n    await initialize();","mtime":1746656909685.8396,"doc":"","modulePath":"","elements":[],"embedding":[-0.02231709286570549,-0.031794726848602295,-0.03976672142744064,0.11507739871740341,0.06431708484888077,-0.03179461508989334,-0.016535144299268723,0.0080947857350111,0.04581262916326523,-0.042656272649765015,0.06600823253393173,-0.022058455273509026,-0.05369699001312256,-0.04255199804902077,-0.05749623477458954,0.01692022755742073,-0.022172579541802406,-0.035954706370830536,-0.007469814736396074,-0.002561101457104087,-0.05337486043572426,0.029898835346102715,0.004174896515905857,-0.04085801914334297,0.0075676096603274345,-0.08756949007511139,-0.09064909815788269,-0.07156099379062653,-0.01325302291661501,0.00719876866787672,0.00705813430249691,0.011465109884738922,0.00970068946480751,0.048968248069286346,0.07308097183704376,0.07815569639205933,0.007498700171709061,-0.03337186574935913,0.06286270916461945,-0.06255271285772324,0.044113706797361374,0.0051824538968503475,-0.04000428691506386,-0.07869649678468704,0.005528552923351526,-0.04546563699841499,0.004658855497837067,0.025388214737176895,-0.039857156574726105,0.033028602600097656,-0.038643743842840195,0.05631309002637863,-0.1399189531803131,-0.12370021641254425,0.09898318350315094,0.07654745876789093,0.0015756002394482493,0.05131757631897926,-0.007897547446191311,0.05213687941431999,0.09148569405078888,-0.07058776170015335,-0.0019346951739862561,0.002660050755366683,0.06322775036096573,-0.0017282376065850258,-0.002708741230890155,0.05251770094037056,-0.028626514598727226,0.03940393403172493,-0.07163658738136292,0.04378928244113922,-0.07283073663711548,0.029180044308304787,-0.00423637218773365,0.020125899463891983,-0.030182410031557083,0.024680159986019135,-0.08186720311641693,0.015066041611135006,-0.028660718351602554,0.02554977685213089,0.013016880489885807,-0.008613815531134605,0.04069700837135315,0.03958363085985184,-0.00778862414881587,0.03814798966050148,-0.025106238201260567,-0.028490548953413963,-0.031078360974788666,-0.06073310226202011,-0.08182887732982635,0.07579962909221649,0.0016681095585227013,0.07255440950393677,0.0022601536475121975,0.14181207120418549,-0.001143347704783082,-0.05634511262178421,-0.06712877005338669,-0.028480498120188713,0.04033682867884636,0.034742847084999084,-0.03602525219321251,-0.08768180757761002,0.032803360372781754,-0.10988206416368484,-0.07145001739263535,-0.02720893919467926,-0.003585994942113757,0.010025432333350182,0.012608098797500134,-0.05448373407125473,-0.01777065545320511,-0.03822098672389984,0.04073605686426163,0.027481308206915855,0.021497000008821487,0.08933883905410767,0.14517775177955627,0.05202888324856758,0.12984585762023926,0.03146841749548912,-0.00873388722538948,-0.028715865686535835,0.01853025145828724,7.165742298267646e-33,-0.002456593792885542,-0.07590996474027634,0.03982078656554222,-0.008240366354584694,-0.0052558863535523415,-0.01271581556648016,0.05816718190908432,-0.1210721954703331,-0.008288506418466568,0.029089367017149925,0.01680457964539528,0.06170656904578209,-0.05506722629070282,0.0001671921054366976,-0.03459480032324791,-0.016598163172602654,0.09177201241254807,-0.022471807897090912,0.05056482553482056,0.02924465946853161,0.04364290088415146,-0.004329038318246603,-0.05581331625580788,-0.07429017871618271,0.007721849717199802,-0.06523257493972778,0.011505278758704662,0.042432233691215515,-0.01668674126267433,0.006648576818406582,-0.01564127206802368,-0.038104087114334106,0.01830855756998062,0.03506062924861908,-0.0388827845454216,0.019347527995705605,-0.06008755415678024,0.031104303896427155,-0.11631184071302414,0.023222588002681732,0.013138819485902786,0.031371455639600754,-0.05325863137841225,-0.019593479111790657,-0.0587487630546093,0.01729949750006199,0.026639273390173912,0.00899274181574583,0.1406916230916977,-0.04663008823990822,-0.03868458792567253,-0.014155342243611813,0.00540652172639966,-0.10569097101688385,0.01651448756456375,-0.042023226618766785,0.011605330742895603,-0.0881258100271225,-0.051907315850257874,-0.003211281029507518,-0.05509857460856438,-0.052830398082733154,-0.04361625015735626,-0.04881615564227104,0.0014166183536872268,-0.0042618452571332455,0.008739076554775238,-0.043166350573301315,-0.03874387592077255,-0.0033862085547298193,0.0093990508466959,0.02549673244357109,-0.002286434406414628,-0.05725344642996788,0.11871589720249176,0.08276098221540451,-0.05248367041349411,0.05752134323120117,-0.025194045156240463,-0.09515208750963211,-0.06552044302225113,-0.0026676077395677567,-0.10589313507080078,0.007570718415081501,0.04987818002700806,0.0069909109733998775,-0.04467080160975456,0.07645591348409653,0.01142166182398796,0.0080482829362154,0.06148141995072365,-0.05491223558783531,0.025739796459674835,-0.07155133783817291,-0.015832364559173584,-8.44253928287586e-33,0.1538788378238678,-0.016723990440368652,0.020563632249832153,-0.05280236154794693,-0.04806480184197426,0.090659499168396,-0.0002915079239755869,0.0075578587129712105,-0.11389652639627457,0.05569658800959587,0.0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async function queryIndex(query, topK = 8) {\r\n  if (!isInitialized) {\r\n    await initialize();","file":"C:\\dev\\mcp-repl\\src\\js-vector-indexer.js","startLine":907,"endLine":909,"lines":3,"code":"export async function queryIndex(query, topK = 8) {\r\n  if (!isInitialized) {\r\n    await initialize();","mtime":1746656909685.8396,"doc":"","modulePath":"","elements":[],"embedding":[-0.03517704829573631,0.005286999046802521,-0.05127383768558502,0.11131250858306885,0.027546344324946404,0.012655389495193958,-0.02576659619808197,0.07934624701738358,0.025411071255803108,-0.019750675186514854,-0.02321283146739006,-0.056776367127895355,-0.07344018667936325,-0.07248493283987045,-0.07333359867334366,-0.015728110447525978,-0.077980175614357,-0.06901080161333084,-0.037319160997867584,-0.06715621054172516,0.013073083013296127,0.04360458254814148,0.0021145304199308157,-0.011451167985796928,0.02535429038107395,-0.07939589768648148,-0.0571657158434391,-0.037899747490882874,0.0023120827972888947,0.008287708275020123,-0.05640489235520363,0.04203447327017784,-0.06848210841417313,0.06431999057531357,0.07920162379741669,0.08525288850069046,-0.021960224956274033,-0.06789885461330414,0.02951919659972191,-0.10378330945968628,0.07306905835866928,0.010477468371391296,-0.07802750915288925,-0.059560827910900116,0.07540374249219894,-0.01897180825471878,0.011162057518959045,0.022442463785409927,0.004093210678547621,0.024677196517586708,-0.05895918980240822,0.03915983811020851,-0.09749334305524826,-0.11218243837356567,0.14801613986492157,0.05772023648023605,-0.04622753709554672,-0.02228357456624508,0.03236612305045128,0.0840848982334137,-0.0134201031178236,-0.07350923120975494,0.056078556925058365,0.03156913071870804,0.05793512985110283,-0.03300267085433006,0.008233063854277134,0.0368725024163723,-0.011961452662944794,0.02881566435098648,-0.0587383396923542,0.010166211053729057,-0.0636424645781517,0.01650887355208397,-0.06059280410408974,-0.03722205013036728,-0.031392939388751984,-0.009922033175826073,0.0012627913383767009,0.04024399444460869,-0.05181719362735748,-0.020848069339990616,0.0005750138661824167,0.04474257305264473,0.02512880600988865,0.022770842537283897,0.04967784881591797,-0.04100200533866882,-0.01826518028974533,-0.012836582027375698,-0.07646714895963669,-0.03133011236786842,-0.10312396287918091,0.052321452647447586,-0.014722737483680248,0.08713061362504959,-0.016066983342170715,0.03834604099392891,-0.04205260053277016,-0.011123623698949814,-0.0511496476829052,-0.0775151401758194,0.046573568135499954,0.022288696840405464,-0.058223824948072433,-0.09216002374887466,0.11854793131351471,-0.07646343857049942,-0.04947398230433464,-0.0007168967858888209,-0.010720069520175457,0.03651197999715805,0.025288205593824387,-0.049310069531202316,-0.014131392352283001,0.02071096934378147,0.059329889714717865,-0.057525716722011566,0.07562768459320068,0.01946198381483555,0.1621471792459488,0.05997241288423538,0.09003584086894989,-0.009128408506512642,0.028601745143532753,0.001110297511331737,0.12950988113880157,6.20177742119186e-33,0.019457347691059113,-0.07758530974388123,0.0019411359680816531,-0.013815663754940033,-0.034090306609869,-0.023598453029990196,0.11562683433294296,-0.03968086838722229,-0.05815058946609497,0.04282379895448685,-0.03341658413410187,0.04082614555954933,-0.05007629841566086,-0.023273494094610214,0.010140563361346722,0.011370522901415825,0.12114576995372772,-0.026746699586510658,-0.014550168067216873,0.06322020292282104,0.05056427791714668,-0.06660697609186172,0.01771978661417961,0.025688346475362778,0.016781289130449295,-0.026444414630532265,-0.03306043893098831,-0.026147007942199707,-0.035423073917627335,0.024854227900505066,-0.006901757791638374,-0.01149292103946209,-0.04314342886209488,0.011761152185499668,-0.002610822906717658,-0.017879119142889977,0.007107380777597427,0.044565748423337936,-0.09436788409948349,-0.01060532871633768,-0.03113657794892788,0.04275348782539368,-0.02977912314236164,-0.0395270511507988,-0.06958524137735367,-0.02172541804611683,-0.08602945506572723,-0.03837212547659874,0.0960041955113411,-0.011375250294804573,-0.07768309861421585,0.0261599849909544,0.07032302767038345,-0.07513577491044998,0.09388866275548935,-0.03798901289701462,0.04555707052350044,-0.011286311782896519,0.0027742162346839905,0.017092281952500343,-0.07991243898868561,-0.07192183285951614,-0.0441751629114151,0.017324768006801605,0.03757334128022194,0.026285331696271896,-0.0373753197491169,0.023830596357584,-0.02719983458518982,-0.060473546385765076,0.03852206468582153,-0.023795800283551216,0.06645159423351288,-0.05379410833120346,0.11842221021652222,0.06074213609099388,-0.08768686652183533,0.05027997866272926,0.005811148788779974,-0.04608765244483948,0.0428653359413147,-0.035926785320043564,-0.08848284184932709,0.0025353680830448866,0.0689995065331459,0.022378094494342804,0.0005907029844820499,0.05851936340332031,0.046087704598903656,0.07995948195457458,0.017280301079154015,-0.023469729349017143,0.07756228744983673,-0.08659283816814423,-0.07341200113296509,-7.106018369038243e-33,0.05564447119832039,0.018911566585302353,-0.03934288024902344,-0.02413889952003956,-0.05948406085371971,0.05472354590892792,0.013926065526902676,0.014150935225188732,-0.09930524975061417,0.06430941820144653,0.015666982159018517,-0.001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node\r\n// Test script for enhanced code search with structural metadata\r\n\r\nimport { initialize, syncIndex, queryIndex } from '../src/js-...","mtime":1746656970962.6592,"doc":"Test script for enhanced code search with structural 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function searchCode(query, topK = 5) {\r\n  console.log(`\\n🔍 Searching for: \"${query}\"\\n`);\r\n  \r\n  try {\r\n    // Make sure the indexer is initialized\r\n    await initialize();\r\n    \r\n    // Sync the index with the current codebase\r\n    const syncResult = await syncIndex([workingDir], ['js'], ['node_modules']);\r\n    console.log(`✅ Index synced: ${syncResult.total} chunks in total (${syncResult.new} new, ${syncResult.deleted} deleted)`);\r\n    \r\n    // Run the query\r\n    const results = await queryIndex(query, topK);\r\n    \r\n    if (results.length === 0) {\r\n      console.log('No results found.');\r\n      return;\r\n    }\r\n    \r\n    // Display results with structural metadata\r\n    console.log(`\\n📝 Found ${results.length} results:\\n`);\r\n    \r\n    results.forEach((result, i) => {\r\n      console.log(`\\n--- Result ${i + 1} (score: ${result.score}) ---`);\r\n      console.log(`Type: ${result.type}`);\r\n      console.log(`Name: ${result.qualifiedName || result.name}`);\r\n      console.log(`File: ${result.file}`);\r\n      console.log(`Lines: ${result.startLine}-${result.endLine} (${result.lines} lines)`);\r\n      \r\n      // Display documentation if available\r\n      if (result.doc) {\r\n        console.log(`\\nDocumentation: ${result.doc}`);\r\n      }\r\n      \r\n      // Display structural metadata if available\r\n      if (result.structure) {\r\n        console.log('\\nStructural metadata:');\r\n        for (const [key, value] of Object.entries(result.structure)) {\r\n          if (Array.isArray(value)) {\r\n            if (value.length > 0) {\r\n              console.log(`  - ${key}: ${value.length} items`);\r\n              // For parameters, show more details\r\n              if (key === 'parameters' && value.length > 0) {\r\n                value.forEach(param => {\r\n                  console.log(`    • ${param.name}${param.type ? `: ${param.type}` : ''}`);\r\n                });\r\n              }\r\n            }\r\n          } else if (typeof value === 'object' && value !== null) {\r\n            console.log(`  - ${key}: ${JSON.stringify(value)}`);\r\n          } else {\r\n            console.log(`  - ${key}: ${value}`);\r\n          }\r\n        }\r\n      }\r\n      \r\n      // Display relationships if available\r\n      if (result.relationships && Object.keys(result.relationships).length > 0) {\r\n        console.log('\\nRelationships:');\r\n        for (const [key, value] of Object.entries(result.relationships)) {\r\n          if (Array.isArray(value)) {\r\n            console.log(`  - ${key}: ${value.join(', ')}`);\r\n          } else {\r\n            console.log(`  - ${key}: ${value}`);\r\n          }\r\n        }\r\n      }\r\n      \r\n      // Display code preview\r\n      if (result.code) {\r\n        console.log('\\nCode Preview:');\r\n        console.log(`${result.code.length > 150 ? result.code.substring(0, 150) + '...' : result.code}`);\r\n      }\r\n      \r\n      console.log('\\n' + '-'.repeat(50));\r\n    });\r\n    \r\n  } catch (error) {\r\n    console.error('Error during search:', error);\r\n  }\r\n}","mtime":1746656970962.6592,"doc":"Function to run a search query and display 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function main() {\r\n  console.log('🚀 Testing Enhanced Code Search with Structural Metadata\\n');\r\n  \r\n  // Sample search queries to test\r\n  const queries = [\r\n    'extract chunks',\r\n    'code structure',\r\n    'function for searching',\r\n    'class definition',\r\n    'relationships between code'\r\n  ];\r\n  \r\n  // Run searches\r\n  for (const query of queries) {\r\n    await searchCode(query);\r\n  }\r\n  \r\n  console.log('\\n✨ Search tests completed!');\r\n}","mtime":1746656970962.6592,"doc":"Main function to run the 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