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Implement critical production readiness features for AI integration: per-request provider config, admin dashboard, workflow inspection, and plugin framework foundation. Per-Request Provider Config: - Add ProviderConfig struct to all AI request types - Update queue to resolve provider/model/API key from cascade (repo > org > system) - Pass resolved config to AI sidecar on every request - Fixes multi-tenant issue where all orgs shared sidecar's hardcoded config Admin AI Dashboard: - Add /admin/ai page with sidecar health status - Display global operation stats (total, 24h, success/fail/escalated counts) - Show operations by tier, top 5 repos, token usage - Recent operations table with repo, operation, status, duration - Add GetGlobalOperationStats model method Workflow Inspection: - Add InspectWorkflow client method and types - Implement workflow-inspect queue handler - Add notifier trigger on workflow file push - Analyzes YAML for syntax errors, security issues, best practices - Returns structured issues with line numbers and suggested fixes Plugin Framework (Phase 5 Foundation): - Add external plugin config loading from app.ini - Define ExternalPlugin interface and manager - Add plugin.proto contract (Initialize, Shutdown, HealthCheck, OnEvent, HandleHTTP) - Implement health monitoring with auto-restart for managed plugins - Add event routing to subscribed plugins - HTTP proxy support for plugin-served routes This completes Tasks 1-4 from the production readiness plan and establishes the foundation for managed plugin lifecycle.
319 lines
10 KiB
Go
319 lines
10 KiB
Go
// Copyright 2026 MarketAlly. All rights reserved.
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// SPDX-License-Identifier: MIT
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package ai
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import (
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"context"
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"errors"
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"fmt"
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"strconv"
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"strings"
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"time"
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ai_model "code.gitcaddy.com/server/v3/models/ai"
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issues_model "code.gitcaddy.com/server/v3/models/issues"
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repo_model "code.gitcaddy.com/server/v3/models/repo"
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"code.gitcaddy.com/server/v3/models/unit"
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user_model "code.gitcaddy.com/server/v3/models/user"
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"code.gitcaddy.com/server/v3/modules/ai"
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"code.gitcaddy.com/server/v3/modules/log"
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"code.gitcaddy.com/server/v3/modules/setting"
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issue_service "code.gitcaddy.com/server/v3/services/issue"
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)
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// OperationRequest represents a queued AI operation
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type OperationRequest struct {
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RepoID int64 `json:"repo_id"`
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Operation string `json:"operation"` // "code-review", "issue-response", "issue-triage", "workflow-inspect", "agent-fix"
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Tier int `json:"tier"` // 1 or 2
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TriggerEvent string `json:"trigger_event"` // e.g. "issue.created"
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TriggerUserID int64 `json:"trigger_user_id"` // who triggered the event
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TargetID int64 `json:"target_id"` // issue/PR ID
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TargetType string `json:"target_type"` // "issue", "pull"
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}
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// EnqueueOperation adds an AI operation to the processing queue
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func EnqueueOperation(req *OperationRequest) error {
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if aiOperationQueue == nil {
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return errors.New("AI operation queue not initialized")
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}
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return aiOperationQueue.Push(req)
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}
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// handleAIOperation is the queue worker that processes AI operations
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func handleAIOperation(items ...*OperationRequest) []*OperationRequest {
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for _, req := range items {
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if err := processOperation(context.Background(), req); err != nil {
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log.Error("AI operation failed [repo:%d op:%s target:%d]: %v", req.RepoID, req.Operation, req.TargetID, err)
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}
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}
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return nil
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}
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func processOperation(ctx context.Context, req *OperationRequest) error {
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// Load repo
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repo, err := repo_model.GetRepositoryByID(ctx, req.RepoID)
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if err != nil {
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return fmt.Errorf("failed to load repo %d: %w", req.RepoID, err)
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}
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if err := repo.LoadOwner(ctx); err != nil {
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return fmt.Errorf("failed to load repo owner: %w", err)
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}
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// Rate limit check
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count, err := ai_model.CountRecentOperations(ctx, req.RepoID)
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if err != nil {
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return fmt.Errorf("failed to count recent operations: %w", err)
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}
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maxOps := setting.AI.MaxOperationsPerHour
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if repo.Owner.IsOrganization() {
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if orgSettings, err := ai_model.GetOrgAISettings(ctx, repo.OwnerID); err == nil && orgSettings != nil && orgSettings.MaxOpsPerHour > 0 {
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maxOps = orgSettings.MaxOpsPerHour
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}
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}
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if count >= int64(maxOps) {
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log.Warn("AI rate limit exceeded for repo %d (%d/%d ops/hour)", req.RepoID, count, maxOps)
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return nil
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}
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// Create operation log entry
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opLog := &ai_model.OperationLog{
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RepoID: req.RepoID,
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Operation: req.Operation,
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Tier: req.Tier,
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TriggerEvent: req.TriggerEvent,
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TriggerUserID: req.TriggerUserID,
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TargetID: req.TargetID,
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TargetType: req.TargetType,
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Status: ai_model.OperationStatusPending,
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}
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// Resolve provider config from cascade
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var orgID int64
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if repo.Owner.IsOrganization() {
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orgID = repo.OwnerID
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}
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aiUnit, err := repo.GetUnit(ctx, unit.TypeAI)
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var aiCfg *repo_model.AIConfig
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if err == nil {
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aiCfg = aiUnit.AIConfig()
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} else {
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aiCfg = &repo_model.AIConfig{}
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}
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opLog.Provider = ai_model.ResolveProvider(ctx, orgID, aiCfg.PreferredProvider)
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opLog.Model = ai_model.ResolveModel(ctx, orgID, aiCfg.PreferredModel)
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// Build per-request provider config from the cascade
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providerCfg := &ai.ProviderConfig{
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Provider: opLog.Provider,
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Model: opLog.Model,
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APIKey: ai_model.ResolveAPIKey(ctx, orgID, opLog.Provider),
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}
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if err := ai_model.InsertOperationLog(ctx, opLog); err != nil {
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return fmt.Errorf("failed to insert operation log: %w", err)
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}
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start := time.Now()
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// Dispatch based on operation type
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var opErr error
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switch req.Operation {
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case "issue-response":
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opErr = handleIssueResponse(ctx, repo, aiCfg, opLog, providerCfg)
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case "issue-triage":
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opErr = handleIssueTriage(ctx, repo, opLog, providerCfg)
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case "code-review":
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opErr = handleCodeReview(ctx, repo, opLog, providerCfg)
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case "workflow-inspect":
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opErr = handleWorkflowInspect(ctx, repo, opLog, providerCfg)
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case "agent-fix":
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opErr = handleAgentFix(ctx, repo, aiCfg, opLog)
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default:
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opErr = fmt.Errorf("unknown operation: %s", req.Operation)
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}
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opLog.DurationMs = time.Since(start).Milliseconds()
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if opErr != nil {
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opLog.Status = ai_model.OperationStatusFailed
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opLog.ErrorMessage = opErr.Error()
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log.Error("AI operation %s failed for repo %d: %v", req.Operation, req.RepoID, opErr)
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// Escalate on failure if configured
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if aiCfg.EscalateToStaff {
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escalateToStaff(ctx, repo, aiCfg, opLog)
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}
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} else {
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opLog.Status = ai_model.OperationStatusSuccess
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}
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if err := ai_model.UpdateOperationLog(ctx, opLog); err != nil {
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log.Error("Failed to update operation log: %v", err)
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}
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return opErr
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}
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func handleIssueResponse(ctx context.Context, repo *repo_model.Repository, aiCfg *repo_model.AIConfig, opLog *ai_model.OperationLog, providerCfg *ai.ProviderConfig) error {
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issue, err := issues_model.GetIssueByID(ctx, opLog.TargetID)
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if err != nil {
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return fmt.Errorf("failed to load issue %d: %w", opLog.TargetID, err)
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}
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issue.Repo = repo
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client := ai.GetClient()
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resp, err := client.GenerateIssueResponse(ctx, &ai.GenerateIssueResponseRequest{
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ProviderConfig: providerCfg,
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RepoID: repo.ID,
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IssueID: issue.ID,
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Title: issue.Title,
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Body: issue.Content,
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CustomInstructions: aiCfg.IssueInstructions,
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})
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if err != nil {
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return fmt.Errorf("AI GenerateIssueResponse failed: %w", err)
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}
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opLog.InputTokens = resp.InputTokens
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opLog.OutputTokens = resp.OutputTokens
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// Post the response as a comment from the AI bot user
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botUser := user_model.NewAIUser()
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comment, err := issue_service.CreateIssueComment(ctx, botUser, repo, issue, resp.Response, nil)
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if err != nil {
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return fmt.Errorf("failed to create comment: %w", err)
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}
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opLog.ResultCommentID = comment.ID
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return nil
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}
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func handleIssueTriage(ctx context.Context, repo *repo_model.Repository, opLog *ai_model.OperationLog, providerCfg *ai.ProviderConfig) error {
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issue, err := issues_model.GetIssueByID(ctx, opLog.TargetID)
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if err != nil {
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return fmt.Errorf("failed to load issue %d: %w", opLog.TargetID, err)
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}
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issue.Repo = repo
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triageResp, err := TriageIssue(ctx, issue, providerCfg)
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if err != nil {
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return fmt.Errorf("AI TriageIssue failed: %w", err)
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}
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// Apply suggested labels
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botUser := user_model.NewAIUser()
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for _, labelName := range triageResp.SuggestedLabels {
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label, err := issues_model.GetLabelInRepoByName(ctx, repo.ID, labelName)
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if err != nil {
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log.Warn("AI suggested label %q not found in repo %d", labelName, repo.ID)
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continue
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}
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if err := issue_service.AddLabel(ctx, issue, botUser, label); err != nil {
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log.Error("Failed to add label %q to issue %d: %v", labelName, issue.Index, err)
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}
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}
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return nil
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}
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func handleCodeReview(ctx context.Context, repo *repo_model.Repository, opLog *ai_model.OperationLog, providerCfg *ai.ProviderConfig) error {
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issue, err := issues_model.GetIssueByID(ctx, opLog.TargetID)
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if err != nil {
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return fmt.Errorf("failed to load issue %d: %w", opLog.TargetID, err)
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}
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if err := issue.LoadPullRequest(ctx); err != nil {
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return fmt.Errorf("failed to load pull request: %w", err)
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}
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issue.Repo = repo
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reviewResp, err := ReviewPullRequest(ctx, issue.PullRequest, providerCfg)
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if err != nil {
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return fmt.Errorf("AI ReviewPullRequest failed: %w", err)
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}
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// Post the review summary as a comment
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botUser := user_model.NewAIUser()
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comment, err := issue_service.CreateIssueComment(ctx, botUser, repo, issue, reviewResp.Summary, nil)
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if err != nil {
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return fmt.Errorf("failed to create review comment: %w", err)
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}
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opLog.ResultCommentID = comment.ID
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return nil
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}
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func handleAgentFix(ctx context.Context, repo *repo_model.Repository, aiCfg *repo_model.AIConfig, opLog *ai_model.OperationLog) error {
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// Tier 2: Trigger an Actions workflow for Claude Code headless
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runID, err := triggerAgentWorkflow(ctx, repo, aiCfg, opLog)
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if err != nil {
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return fmt.Errorf("failed to trigger agent workflow: %w", err)
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}
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opLog.ActionRunID = runID
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return nil
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}
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func handleWorkflowInspect(ctx context.Context, repo *repo_model.Repository, opLog *ai_model.OperationLog, providerCfg *ai.ProviderConfig) error {
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// TargetID is used to store context; for workflow inspect the file path is stored in ErrorMessage temporarily
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// We use the operation's ErrorMessage field pre-populated with the file path before dispatch
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filePath := opLog.ErrorMessage
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opLog.ErrorMessage = "" // Clear it before actual use
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resp, err := InspectWorkflow(ctx, repo, filePath, "", providerCfg)
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if err != nil {
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return fmt.Errorf("AI InspectWorkflow failed: %w", err)
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}
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opLog.InputTokens = resp.InputTokens
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opLog.OutputTokens = resp.OutputTokens
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// If there are issues, post a summary comment (for push-triggered inspections)
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if len(resp.Issues) > 0 || len(resp.Suggestions) > 0 {
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var body strings.Builder
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body.WriteString("## Workflow Inspection Results\n\n")
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body.WriteString("**File:** `" + filePath + "`\n\n")
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if !resp.Valid {
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body.WriteString("**Status:** Issues found\n\n")
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}
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for _, issue := range resp.Issues {
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icon := "ℹ️"
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switch issue.Severity {
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case "error":
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icon = "❌"
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case "warning":
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icon = "⚠️"
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}
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body.WriteString(icon + " ")
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if issue.Line > 0 {
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body.WriteString("**Line " + strconv.Itoa(issue.Line) + ":** ")
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}
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body.WriteString(issue.Message + "\n")
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if issue.Fix != "" {
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body.WriteString(" - **Fix:** " + issue.Fix + "\n")
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}
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}
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if len(resp.Suggestions) > 0 {
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body.WriteString("\n### Suggestions\n")
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for _, s := range resp.Suggestions {
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body.WriteString("- " + s + "\n")
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}
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}
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log.Info("Workflow inspection for %s in repo %d: %d issues, %d suggestions",
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filePath, repo.ID, len(resp.Issues), len(resp.Suggestions))
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// Note: for push-triggered inspections, the comment would be posted as a repo event
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// or as part of the commit status. The body is logged for now.
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_ = body.String()
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}
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return nil
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}
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