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const path = require("path");
const orchestrationMethods = {
/**
* Analiza un Pull Request y genera recomendaciones.
*/
async analyzePR(options) {
const {
prDetails,
commits,
changes,
globalFiles,
reviewType,
reviewDetail,
includeSuggestions,
aiModel,
standardsPaths,
azureDevOpsService,
preloadedThreads,
reviewContextCache,
} = options;
try {
if (typeof this._loadIgnoredFilePatterns === "function") {
try {
this._loadIgnoredFilePatterns();
} catch (reloadError) {
this.logger?.warn(
` ⚠️ No se pudieron recargar patrones ignorados: ${reloadError.message}`,
);
}
}
this._logSectionHeader("ANÁLISIS DE PULL REQUEST", "🤖");
this._logDataGroup("Configuración", "⚙️", {
Tipo: reviewType,
Detalle: reviewDetail,
Sugerencias: includeSuggestions ? "Sí" : "No",
"Modelo IA": aiModel || "gpt-4o",
});
let existingThreads = [];
let reviewMode = "full";
let previousIssues = [];
let developerIssueResponses = {};
const cache =
reviewContextCache && typeof reviewContextCache === "object"
? reviewContextCache
: null;
this._logStep(1, 5, "Verificando comentarios previos del PR");
const cachedThreadContext = cache?.threadContext;
if (cachedThreadContext) {
const resolvedThreadContext = this._loadThreadContextFromCache(
cachedThreadContext,
);
existingThreads = resolvedThreadContext.existingThreads;
reviewMode = resolvedThreadContext.reviewMode;
previousIssues = resolvedThreadContext.previousIssues;
developerIssueResponses = resolvedThreadContext.developerIssueResponses;
if (cachedThreadContext.commitsAfterReview) {
prDetails.commitsAfterReview = cachedThreadContext.commitsAfterReview;
prDetails.lastReviewDate = cachedThreadContext.lastReviewDate;
}
this.logger.info(
` ♻️ Reutilizando contexto de seguimiento (${existingThreads.length} thread(s), modo=${reviewMode})`,
);
} else {
if (Array.isArray(preloadedThreads)) {
existingThreads = preloadedThreads;
this.logger.info(
` ♻️ Reutilizando ${existingThreads.length} thread(s) precargados`,
);
if (existingThreads.length > 0) {
previousIssues = this._extractPreviousIssues(existingThreads);
developerIssueResponses =
this._extractDeveloperIssueResponses(existingThreads);
this._logDataGroup("Threads precargados", "📊", {
"Total de threads": existingThreads.length,
"Issues previos": previousIssues.length,
"Respuestas desarrollador": Object.keys(
developerIssueResponses,
).length,
});
if (previousIssues.length > 0) {
reviewMode = "follow-up";
this.logger.info(
` 🔄 MODO SEGUIMIENTO: Detectados ${previousIssues.length} issues previos`,
);
this.logger.info(
` ℹ️ Esta revisión SOLO verificará si se resolvieron los issues reportados`,
);
const lastReviewDate = this._getLastReviewDate(existingThreads);
const commitsAfterReview = Array.isArray(commits)
? commits.filter((c) => {
const commitDate = new Date(c?.author?.date);
return (
!Number.isNaN(commitDate.getTime()) &&
commitDate > lastReviewDate
);
})
: [];
this.logger.info(
` 📊 ${commitsAfterReview.length} commit(s) realizados después de la revisión`,
);
prDetails.commitsAfterReview = commitsAfterReview;
prDetails.lastReviewDate = lastReviewDate;
} else {
this.logger.info(
` ℹ️ No se detectaron issues previos en los threads precargados`,
);
}
}
} else if (!azureDevOpsService) {
this.logger.warn(` ⚠️ No hay servicio de Azure DevOps disponible`);
} else if (!prDetails.projectName) {
this.logger.warn(` ⚠️ No hay nombre de proyecto en prDetails`);
} else if (!prDetails.repository) {
this.logger.warn(
` ⚠️ No hay información de repositorio en prDetails`,
);
} else {
try {
const repoId = prDetails.repository.id || prDetails.repository.name;
this.logger.info(
` 📡 Obteniendo threads: proyecto=${prDetails.projectName}, repo=${repoId}, PR=${prDetails.pullRequestId}`,
);
existingThreads = await azureDevOpsService.getPullRequestThreads(
prDetails.projectName,
prDetails.repository.id || prDetails.repository.name,
prDetails.pullRequestId,
);
this.logger.info(
` ✅ Se obtuvieron ${existingThreads?.length || 0} thread(s)`,
);
if (existingThreads && existingThreads.length > 0) {
previousIssues = this._extractPreviousIssues(existingThreads);
developerIssueResponses =
this._extractDeveloperIssueResponses(existingThreads);
this._logDataGroup("Threads encontrados", "📊", {
"Total de threads": existingThreads.length,
"Issues previos": previousIssues.length,
"Respuestas desarrollador": Object.keys(developerIssueResponses)
.length,
});
if (previousIssues.length > 0) {
reviewMode = "follow-up";
this.logger.info(
` 🔄 MODO SEGUIMIENTO: Detectados ${previousIssues.length} issues previos`,
);
this.logger.info(
` ℹ️ Esta revisión SOLO verificará si se resolvieron los issues reportados`,
);
const lastReviewDate = this._getLastReviewDate(existingThreads);
const commitsAfterReview = commits.filter((c) => {
const commitDate = new Date(c.author.date);
return commitDate > lastReviewDate;
});
this.logger.info(
` 📊 ${commitsAfterReview.length} commit(s) realizados después de la revisión`,
);
let commitsWithDiffs = [];
if (
commitsAfterReview.length > 0 &&
azureDevOpsService &&
typeof azureDevOpsService.getCommitDiffs === "function"
) {
this.logger.info(
` 📦 Obteniendo cambios completos de commits de ajuste...`,
);
const commitIds = commitsAfterReview.map((c) => c.commitId);
const sourceBranch =
prDetails.sourceRefName || prDetails.sourceBranch;
try {
const commitChanges = await azureDevOpsService.getCommitDiffs(
prDetails.projectName,
prDetails.repository.id || prDetails.repository.name,
commitIds,
sourceBranch,
);
commitsWithDiffs = commitsAfterReview.map((commit) => ({
...commit,
changes: commitChanges.filter(
(c) => c.commitId === commit.commitId.substring(0, 8),
),
}));
this.logger.info(
` ✅ Cambios completos obtenidos: ${commitChanges.length} archivo(s)`,
);
} catch (diffError) {
this.logger.warn(
` ⚠️ Error obteniendo diffs de commits: ${diffError.message}`,
);
commitsWithDiffs = commitsAfterReview;
}
} else if (commitsAfterReview.length > 0) {
this.logger.warn(
" ⚠️ Servicio de Azure DevOps no disponible para obtener diffs de seguimiento",
);
commitsWithDiffs = commitsAfterReview;
}
prDetails.commitsAfterReview = commitsWithDiffs;
prDetails.lastReviewDate = lastReviewDate;
} else {
this.logger.info(
` ℹ️ No se detectaron issues previos en los threads`,
);
}
} else {
this.logger.info(` ℹ️ No hay threads/comentarios en este PR`);
}
} catch (error) {
this.logger.warn(
` ⚠️ Error obteniendo comentarios previos: ${error.message}`,
);
this.logger.warn(` Stack: ${error.stack?.substring(0, 200)}`);
}
}
if (cache) {
cache.threadContext = {
existingThreads,
reviewMode,
previousIssues,
developerIssueResponses,
commitsAfterReview: prDetails.commitsAfterReview,
lastReviewDate: prDetails.lastReviewDate,
};
}
}
this._logStep(2, 5, "Detectando tecnologías utilizadas");
let technologies = cache?.technologies;
if (!Array.isArray(technologies)) {
technologies = this._normalizeTechnologies(
this._detectTechnologies(commits, reviewType),
);
if (cache) {
cache.technologies = technologies;
}
} else {
this.logger.info(" ♻️ Reutilizando tecnologías detectadas previamente");
}
if (technologies.length > 0) {
this.logger.info(` ✅ Tecnologías: ${technologies.join(", ")}`);
}
await this._loadSkillDefinitions();
let standardsContent = {};
if (
reviewMode !== "follow-up" &&
standardsPaths &&
Object.values(standardsPaths).some((p) => p)
) {
if (cache?.standardsContent) {
standardsContent = cache.standardsContent;
this.logger.info(
" ♻️ Reutilizando estándares del equipo desde caché de ejecución",
);
} else {
this._logStep(3, 5, "Cargando estándares del equipo");
standardsContent = await this._readStandardsFiles(
standardsPaths,
technologies,
);
if (cache) {
cache.standardsContent = standardsContent;
}
}
} else if (reviewMode === "follow-up") {
this.logger.info(
" ℹ️ Modo seguimiento: se omite carga de estándares para reducir contexto",
);
}
if (reviewMode !== "follow-up") {
if (cache?.copilotInstructionsPrepared) {
this.logger.info(
" ♻️ Reutilizando instrucciones de Copilot preparadas previamente",
);
} else {
await this.ensureCopilotInstructions(standardsContent);
if (cache) {
cache.copilotInstructionsPrepared = true;
}
}
}
this._detectModelAndSetLimits(aiModel || "gpt-4o");
let instructionsContent = null;
if (reviewMode !== "follow-up") {
const instructionsCacheKey = aiModel || "gpt-4o";
const cachedInstructions = cache?.instructionsByModel?.[
instructionsCacheKey
];
if (typeof cachedInstructions === "string") {
instructionsContent = cachedInstructions;
this.logger.info(
" ♻️ Reutilizando instrucciones de archivo desde caché de ejecución",
);
} else {
try {
const globalStoragePath = this.context?.globalStorageUri?.fsPath;
if (globalStoragePath) {
const instructionsPath = path.join(
globalStoragePath,
"pr-review-instructions.md",
);
instructionsContent = await fs.readFile(instructionsPath, "utf-8");
const maxInstructions =
this.currentModelLimits?.maxInstructions || 100000;
if (instructionsContent.length > maxInstructions) {
const originalLength = instructionsContent.length;
instructionsContent = instructionsContent.substring(
0,
maxInstructions,
);
this.logger.warn(
` ⚠️ Instrucciones truncadas: ${originalLength} → ${maxInstructions} chars (límite del modelo)`,
);
}
if (cache) {
cache.instructionsByModel = cache.instructionsByModel || {};
cache.instructionsByModel[instructionsCacheKey] =
instructionsContent;
}
this.logger.info(
" ✓ Usando instrucciones de archivo como contexto",
);
}
} catch (error) {
this.logger.info(
" ⚠️ No se pudo leer archivo de instrucciones, usando prompt completo",
);
}
}
} else {
this.logger.info(
" ✓ Modo seguimiento: instrucciones globales desactivadas para ahorrar contexto",
);
}
this._logStep(4, 5, "Preparando contexto para análisis con IA");
const prompt = instructionsContent
? this._buildLightweightPrompt(
prDetails,
commits,
changes,
globalFiles,
technologies,
reviewDetail,
includeSuggestions,
existingThreads,
reviewMode,
previousIssues,
developerIssueResponses,
)
: this._buildPrompt(
prDetails,
commits,
changes,
globalFiles,
technologies,
reviewDetail,
includeSuggestions,
standardsContent,
existingThreads,
reviewMode,
previousIssues,
developerIssueResponses,
);
this._logStep(5, 5, "Ejecutando análisis con GitHub Copilot");
let copilotResponse;
const requestedModel = aiModel || "gpt-4o";
try {
copilotResponse = await this._callCopilot(
prompt,
requestedModel,
instructionsContent,
);
} catch (error) {
const isClaudeModel =
requestedModel.toLowerCase().includes("claude") ||
requestedModel.toLowerCase().includes("sonnet");
const isHttp403 =
error.message?.includes("403") || error.message?.includes("HTTP 403");
if (isClaudeModel && isHttp403) {
this.logger.warn(`\n⚠️ Claude Sonnet falló con error 403`);
this.logger.info(
`🔄 Intentando automáticamente con GPT-4o (fallback)...`,
);
this.logger.info(
` 💡 GPT-4o tiene límites más generosos para PRs grandes\n`,
);
this._detectModelAndSetLimits("gpt-4o");
const newPrompt = instructionsContent
? this._buildLightweightPrompt(
prDetails,
commits,
changes,
globalFiles,
technologies,
reviewDetail,
includeSuggestions,
existingThreads,
reviewMode,
previousIssues,
developerIssueResponses,
)
: this._buildPrompt(
prDetails,
commits,
changes,
globalFiles,
technologies,
reviewDetail,
includeSuggestions,
standardsContent,
existingThreads,
reviewMode,
previousIssues,
developerIssueResponses,
);
copilotResponse = await this._callCopilot(
newPrompt,
"gpt-4o",
instructionsContent,
);
this.logger.info(`✅ Análisis exitoso con GPT-4o (fallback)`);
} else {
throw error;
}
}
if (this._isDebugEnabled()) {
this.logger.info(` 📄 DEBUG: Respuesta de IA (primeros 1000 chars):`);
this.logger.info(
` ${copilotResponse.substring(0, 1000).replace(/\n/g, " ")}...`,
);
this.logger.info(
` 📏 Longitud total de respuesta: ${copilotResponse.length} caracteres`,
);
const hasJsonStart = copilotResponse.includes("{");
const hasJsonEnd = copilotResponse.includes("}");
this.logger.info(
` 🔍 Contiene JSON: inicio=${hasJsonStart}, fin=${hasJsonEnd}`,
);
}
let analysis = this._parseAnalysis(
copilotResponse,
includeSuggestions,
reviewMode,
previousIssues,
);
if (
reviewMode === "follow-up" &&
Array.isArray(analysis.followUpMissingIssueNumbers) &&
analysis.followUpMissingIssueNumbers.length > 0
) {
let pendingMissingIssueNumbers = [...analysis.followUpMissingIssueNumbers];
let mergedResolution = Array.isArray(analysis.issuesResolution)
? analysis.issuesResolution
: this._normalizeIssuesResolution([], previousIssues);
const maxFollowUpRetries = 1;
for (
let attempt = 1;
attempt <= maxFollowUpRetries && pendingMissingIssueNumbers.length > 0;
attempt++
) {
this.logger.warn(
` ⚠️ Respuesta incompleta (intento ${attempt}/${maxFollowUpRetries}): ` +
`faltan ${pendingMissingIssueNumbers.length} issue(s) ` +
`(${pendingMissingIssueNumbers.join(", ")}). Reintentando...`,
);
try {
const missingPrompt = this._buildFollowUpMissingIssuesPrompt(
prDetails,
changes,
previousIssues,
pendingMissingIssueNumbers,
developerIssueResponses,
globalFiles,
);
const missingResponse = await this._callCopilot(
missingPrompt,
requestedModel,
instructionsContent,
);
const missingAnalysis = this._parseAnalysis(
missingResponse,
false,
"follow-up",
previousIssues,
);
const retryResolution = Array.isArray(
missingAnalysis.issuesResolution,
)
? missingAnalysis.issuesResolution
: [];
const pendingSet = new Set(pendingMissingIssueNumbers);
const retryByNumber = new Map();
retryResolution.forEach((item) => {
if (pendingSet.has(item.issueNumber)) {
retryByNumber.set(item.issueNumber, item);
}
});
mergedResolution = mergedResolution.map(
(item) => retryByNumber.get(item.issueNumber) || item,
);
analysis = this._parseAnalysis(
JSON.stringify({
reviewMode: "follow-up",
issuesResolution: mergedResolution,
}),
includeSuggestions,
"follow-up",
previousIssues,
);
const retryMissing = Array.isArray(
missingAnalysis.followUpMissingIssueNumbers,
)
? missingAnalysis.followUpMissingIssueNumbers
: [];
if (retryMissing.length > 0) {
this.logger.warn(
` ⚠️ Aun faltan respuestas para issue(s): ${retryMissing.join(
", ",
)}.`,
);
pendingMissingIssueNumbers = retryMissing;
} else {
pendingMissingIssueNumbers = [];
}
} catch (retryError) {
this.logger.warn(
` ⚠️ Reintento follow-up falló (intento ${attempt}/${maxFollowUpRetries}): ${retryError.message}`,
);
}
}
}
if (reviewMode !== "follow-up" && analysis.issues?.length > 0) {
analysis.issues = this._filterIssuesToDiff(
analysis.issues,
this._lastDiffByFile,
this._lastDiffIncludeDeleted,
);
}
this._logSubsectionHeader("✅ ANÁLISIS COMPLETADO");
this._logDataGroup("Resultados", "📊", {
"Issues encontrados": analysis.issues?.length || 0,
Sugerencias: analysis.suggestions?.length || 0,
Tecnologías: technologies.length,
"Archivos ignorados": this.lastIgnoredFiles?.length || 0,
});
analysis.technologies = technologies;
analysis.ignoredFiles = this.lastIgnoredFiles || [];
if (this._pendingLargeFiles && this._pendingLargeFiles.length > 0) {
this.logger.info(`\n${"=".repeat(60)}`);
this.logger.info(`📦 PROCESANDO ARCHIVOS GRANDES`);
this.logger.info(`${"=".repeat(60)}`);
this.logger.info(
` Se encontraron ${this._pendingLargeFiles.length} archivo(s) grande(s) que no cabían en el bloque anterior`,
);
this.logger.info(
` ✅ Estos archivos se procesarán SIN TRUNCAR usando GPT-4o\n`,
);
try {
const largeFileAnalysis = await this._analyzeLargeFiles(
this._pendingLargeFiles,
prDetails,
commits,
technologies,
reviewDetail,
includeSuggestions,
instructionsContent,
developerIssueResponses,
reviewMode,
previousIssues,
);
if (largeFileAnalysis.issues && largeFileAnalysis.issues.length > 0) {
analysis.issues = (analysis.issues || []).concat(
largeFileAnalysis.issues,
);
this.logger.info(
` ✅ ${largeFileAnalysis.issues.length} issue(s) adicionales de archivos grandes`,
);
}
if (
largeFileAnalysis.suggestions &&
largeFileAnalysis.suggestions.length > 0
) {
analysis.suggestions = (analysis.suggestions || []).concat(
largeFileAnalysis.suggestions,
);
this.logger.info(
` ✅ ${largeFileAnalysis.suggestions.length} sugerencia(s) adicionales de archivos grandes`,
);
}
this.logger.info(`\n📊 RESULTADO FINAL COMBINADO:`);
this.logger.info(
` • Total issues: ${analysis.issues?.length || 0}`,
);
this.logger.info(
` • Total sugerencias: ${analysis.suggestions?.length || 0}`,
);
} catch (error) {
this.logger.error(
` ⚠️ Error procesando archivos grandes: ${error.message}`,
);
this.logger.warn(
` Los archivos grandes no serán revisados en esta iteración`,
);
}
}
if (analysis.issues && analysis.issues.length > 0) {
analysis.issues = this._sortIssuesBySeverity(analysis.issues);
this.logger.info(
` 🔢 Issues ordenados por severidad (CRITICAL → HIGH → MEDIUM → LOW)`,
);
}
return analysis;
} catch (error) {
this.logger.error(`❌ Error en análisis de PR: ${error.message}`);
throw error;
}
},
/**
* Analiza archivos grandes que no cupieron en el bloque principal.
*/
async _analyzeLargeFiles(
largeFiles,
prDetails,
commits,
technologies,
reviewDetail,
includeSuggestions,
instructionsContent,
developerIssueResponses = {},
reviewMode = "full",
previousIssues = [],
) {
const allIssues = [];
const allSuggestions = [];
const modelToUse = "gpt-4o";
this._detectModelAndSetLimits(modelToUse);
let effectiveMaxTotalDiff = Math.max(
25000,
Math.floor((this.currentModelLimits.maxTotalDiff || 120000) * 0.85),
);
let effectiveSingleFileLimit = Math.max(
6000,
Math.floor((this.currentModelLimits.maxSingleFile || 30000) * 0.9),
);
this.logger.info(
` 🤖 Usando ${modelToUse} para archivos grandes (límites: ${(this.currentModelLimits.maxSingleFile / 1000).toFixed(0)}k por archivo)`,
);
let fileIndex = 0;
while (fileIndex < largeFiles.length) {
let currentBatchSize = 0;
const filesInBatch = [];
for (let i = fileIndex; i < largeFiles.length; i++) {
const file = largeFiles[i];
if (
currentBatchSize + file.size <= effectiveMaxTotalDiff
) {
filesInBatch.push(file);
currentBatchSize += file.size;
} else {
break;
}
}
if (filesInBatch.length === 0) {
filesInBatch.push(largeFiles[fileIndex]);
}
const batchNumber = Math.floor(fileIndex / filesInBatch.length) + 1;
this.logger.info(
`\n 📦 Batch ${batchNumber}: Analizando ${filesInBatch.length} archivo(s) grande(s)...`,
);
filesInBatch.forEach((f) => {
this.logger.info(
` • ${f.path} (${(f.size / 1000).toFixed(0)}k chars)`,
);
});
const batchChanges = filesInBatch.map((f) => ({
path: f.path,
changeType: f.changeType,
diff:
typeof f.diff === "string"
? this._truncateContent(f.diff, effectiveSingleFileLimit)
: f.diff,
}));
const prompt = this._buildLightweightPrompt(
prDetails,
commits,
batchChanges,
largeFiles,
technologies,
reviewDetail,
includeSuggestions,
[],
reviewMode,
previousIssues,
developerIssueResponses,
);
try {
const response = await this._callCopilot(
prompt,
modelToUse,
instructionsContent,
false,
{ preferNonMini: true },
);
const batchAnalysis = this._parseAnalysis(
response,
includeSuggestions,
reviewMode,
previousIssues,
);
if (
reviewMode !== "follow-up" &&
batchAnalysis.issues &&
batchAnalysis.issues.length > 0
) {
const batchDiffByFile = {};
batchChanges.forEach((change) => {
batchDiffByFile[change.path] = change.diff || "";
});
batchAnalysis.issues = this._filterIssuesToDiff(
batchAnalysis.issues,
batchDiffByFile,
true,
);
}
if (batchAnalysis.issues) {
allIssues.push(...batchAnalysis.issues);
}
if (batchAnalysis.suggestions) {
allSuggestions.push(...batchAnalysis.suggestions);
}
this.logger.info(
` ✅ Batch ${batchNumber} completado: ${batchAnalysis.issues?.length || 0} issues, ${batchAnalysis.suggestions?.length || 0} sugerencias`,
);
} catch (error) {
const contextLimitError =
typeof this._isContextLimitError === "function"
? this._isContextLimitError(error?.message)
: /(context|message limit|token limit|too many tokens|max(?:imum)? context)/i.test(
String(error?.message || ""),
);
if (contextLimitError) {
if (filesInBatch.length > 1 && effectiveMaxTotalDiff > 30000) {
const previous = effectiveMaxTotalDiff;
effectiveMaxTotalDiff = Math.max(
30000,
Math.floor(effectiveMaxTotalDiff * 0.6),
);
this.logger.warn(
` ⚠️ Límite de contexto alcanzado. Reduciendo tamaño de batch: ${previous.toLocaleString()} -> ${effectiveMaxTotalDiff.toLocaleString()} chars y reintentando.`,
);
continue;
}
if (instructionsContent) {
this.logger.warn(
" ⚠️ Límite de contexto alcanzado. Reintentando sin instrucciones globales para archivos grandes.",
);
instructionsContent = null;
continue;
}
if (effectiveSingleFileLimit > 6000) {
const previous = effectiveSingleFileLimit;
effectiveSingleFileLimit = Math.max(
6000,
Math.floor(effectiveSingleFileLimit * 0.7),
);
this.logger.warn(
` ⚠️ Límite de contexto persistente. Reduciendo diff por archivo: ${previous.toLocaleString()} -> ${effectiveSingleFileLimit.toLocaleString()} chars y reintentando.`,
);
continue;
}
}
this.logger.error(
` ❌ Error en batch ${batchNumber}: ${error.message}`,
);
}
fileIndex += filesInBatch.length;
}
const sortedIssues = this._sortIssuesBySeverity(allIssues);
return {
issues: sortedIssues,
suggestions: allSuggestions,
};
},
_loadThreadContextFromCache(threadContext = {}) {
return {
existingThreads: Array.isArray(threadContext?.existingThreads)
? threadContext.existingThreads
: [],
reviewMode:
typeof threadContext?.reviewMode === "string" &&
threadContext.reviewMode.trim().length > 0
? threadContext.reviewMode
: "full",
previousIssues: Array.isArray(threadContext?.previousIssues)
? threadContext.previousIssues
: [],
developerIssueResponses:
threadContext?.developerIssueResponses &&
typeof threadContext.developerIssueResponses === "object"
? threadContext.developerIssueResponses
: {},
};
},
/**
* Elimina falsos positivos típicos de análisis en bloques cuando un issue
* indica que "falta" un archivo/script que sí está presente en otro bloque.
*
* @param {Array} issues - Issues detectados por IA.
* @param {Array} allFiles - Archivos del PR (changeEntries de Azure DevOps).
* @returns {Array} Issues validados.
*/
filterCrossBlockMissingFileFalsePositives(issues = [], allFiles = []) {
if (!Array.isArray(issues) || issues.length === 0) {
return [];
}
const normalizePath = (value) =>
String(value || "")
.replace(/\\/g, "/")
.replace(/^\/+/, "")
.toLowerCase();
const prPaths = new Set();
const prBasenames = new Set();
for (const entry of allFiles || []) {
const rawPath =
typeof entry === "string"
? entry
: entry?.item?.path || entry?.path || "";
const normalized = normalizePath(rawPath);
if (!normalized) continue;
prPaths.add(normalized);
const basename = normalized.split("/").pop();
if (basename) {
prBasenames.add(basename);
}
}
const fileRefRegex =
/([a-z0-9_./\\-]+\.(?:cs|sql|ts|js|json|xml|config|csproj|sln|xaml|aspx|cshtml|razor))/gi;
const missingIntentRegex =
/(missing|not\s+found|no\s+se\s+encuentra|no\s+encontrad[oa]|falta(?:n)?|ausent[ea]|no\s+existe)/i;
const fileContextRegex =
/(archivo|file|script|clase|class|m[oó]dulo|module|referencia|referenced?)/i;
const issueHasKnownReference = (reference) => {
const ref = normalizePath(reference);
if (!ref) return false;
if (prPaths.has(ref)) {
return true;
}
for (const candidate of prPaths) {
if (candidate.endsWith(`/${ref}`) || candidate.endsWith(ref)) {
return true;
}
}
const basename = ref.split("/").pop();
return !!basename && prBasenames.has(basename);
};
const normalizeReclassifiedResolvedIssue = (issue, references = []) => {
const location =
typeof issue?.location === "string"
? issue.location
.replace(/NO\s+RESUELTO/gi, "RESUELTO")
.replace(/PARCIALMENTE\s+RESUELTO/gi, "RESUELTO")
: issue?.location;
const rawDescription =
typeof issue?.description === "string" ? issue.description : "";
const hasContradictoryDescription =
/(NO\s+fue\s+corregido|Correccion\s+incompleta|NO\s+RESUELTO)/i.test(
rawDescription,
);
const normalizedDescription = hasContradictoryDescription
? `✅ Issue reclasificado como resuelto: las referencias reportadas (${references.slice(0, 2).join(", ")}) existen en los archivos del PR analizados.`
: issue?.description;
return {
...issue,
category: "resolved",
isResolved: true,
location,
description: normalizedDescription,
};
};
return issues.map((issue) => {
const combinedText = [
issue?.description,
issue?.recommendation,
issue?.location,
issue?.code,
]
.filter(Boolean)
.join(" ");
if (!combinedText) {
return issue;
}
const hasMissingIntent = missingIntentRegex.test(combinedText);
const hasFileContext = fileContextRegex.test(combinedText);
if (!hasMissingIntent || !hasFileContext) {
return issue;
}
const references = Array.from(combinedText.matchAll(fileRefRegex)).map(
(match) => match[1],
);
if (references.length === 0) {
return issue;
}
const allReferencesExistInPR = references.every(issueHasKnownReference);
if (!allReferencesExistInPR) {
return issue;
}
if (issue?.category === "resolved") {
return issue;
}
return normalizeReclassifiedResolvedIssue(issue, references);
});
},
};
module.exports = orchestrationMethods;
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