157 lines
6 KiB
Go
157 lines
6 KiB
Go
// Copyright (c) 2015-present Mattermost, Inc. All Rights Reserved.
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// See LICENSE.txt for license information.
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package app
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import (
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"encoding/json"
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"fmt"
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"net/http"
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"strings"
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"time"
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"github.com/mattermost/mattermost/server/public/model"
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"github.com/mattermost/mattermost/server/public/shared/mlog"
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"github.com/mattermost/mattermost/server/public/shared/request"
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)
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// summarizePostsJSONSchema is the structured output schema for the LLM summarization response.
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// Defined at package level to avoid re-allocating on every call.
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var summarizePostsJSONSchema = map[string]any{
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"type": "object",
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"properties": map[string]any{
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"highlights": map[string]any{
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"type": "array",
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"items": map[string]any{"type": "string"},
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"description": "Key discussion points, decisions, or important information",
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},
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"action_items": map[string]any{
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"type": "array",
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"items": map[string]any{"type": "string"},
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"description": "Tasks, todos, or action items mentioned",
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},
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},
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"required": []any{"highlights", "action_items"},
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"additionalProperties": false,
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}
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// SummarizePosts generates an AI summary of posts with highlights and action items
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func (a *App) SummarizePosts(rctx request.CTX, userID string, posts []*model.Post, channelName, teamName string, agentID string) (*model.AIRecapSummaryResponse, *model.AppError) {
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if len(posts) == 0 {
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return &model.AIRecapSummaryResponse{Highlights: []string{}, ActionItems: []string{}}, nil
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}
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// Get site URL for permalink generation
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siteURL := a.GetSiteURL()
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// Build conversation context from posts and collect post IDs
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conversationText, postIDs := buildConversationTextWithIDs(posts)
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systemPrompt := "You are an expert at analyzing team conversations and extracting key information. Your task is to summarize a conversation from a Mattermost channel, identifying the most important highlights and any actionable items. Return ONLY valid JSON with 'highlights' and 'action_items' keys, each containing an array of strings. If there are no highlights or action items, return empty arrays. Do not make up information - only include items explicitly mentioned in the conversation."
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userPrompt := fmt.Sprintf(`Analyze the following conversation from the "%s" channel and provide a summary.
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Site URL: %s
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Team Name: %s
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Conversation:
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%s
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Available Post IDs: %s
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Return a JSON object with:
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- "highlights": array of key discussion points, decisions, or important information
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- "action_items": array of tasks, todos, or action items mentioned
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IMPORTANT INSTRUCTIONS:
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1. When your summary includes a user's username, prepend an @ symbol to the username. For example if you return a highlight with text '<username> sent an update about project xyz', where <username> is 'john.smith', you should phrase is as '@john.smith sent an update about project xyz'.
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2. For EACH highlight and action item, you MUST append a permalink to cite the source. The permalink should reference the most relevant post from the conversation. Format the permalink at the END of each item as: [PERMALINK:%s/%s/pl/<POST_ID>] where <POST_ID> is one of the available post IDs provided above. Choose the post ID that is most relevant to that specific highlight or action item.
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Example format: "Team decided to migrate to microservices architecture [PERMALINK:%s/%s/pl/abc123xyz]"
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Your response must be compacted valid JSON only, with no additional text, formatting, nor code blocks.`, channelName, siteURL, teamName, conversationText, strings.Join(postIDs, ", "), siteURL, teamName, siteURL, teamName)
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// Create bridge client
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sessionUserID := ""
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if session := rctx.Session(); session != nil {
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sessionUserID = session.UserId
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}
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requestUserID := userID
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if sessionUserID != "" {
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requestUserID = sessionUserID
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}
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completionRequest := BridgeCompletionRequest{
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Operation: BridgeOperationRecapSummary,
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ClientOperation: "recaps",
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Messages: []BridgeMessage{
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{Role: "system", Message: systemPrompt},
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{Role: "user", Message: userPrompt},
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},
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JSONOutputFormat: summarizePostsJSONSchema,
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OperationSubType: "summarize_channel",
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UserID: requestUserID,
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ChannelID: posts[0].ChannelId,
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}
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rctx.Logger().Debug("Calling AI agent for post summarization",
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mlog.String("channel_name", channelName),
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mlog.String("user_id", userID),
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mlog.String("agent_id", agentID),
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mlog.Int("post_count", len(posts)),
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)
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completion, err := a.ch.agentsBridge.AgentCompletion(sessionUserID, agentID, completionRequest)
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if err != nil {
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return nil, model.NewAppError("SummarizePosts", "app.ai.summarize.agent_call_failed", nil, err.Error(), http.StatusInternalServerError)
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}
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var summary model.AIRecapSummaryResponse
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if err := json.Unmarshal([]byte(completion), &summary); err != nil {
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return nil, model.NewAppError("SummarizePosts", "app.ai.summarize.parse_failed", nil, err.Error(), http.StatusInternalServerError)
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}
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// Ensure arrays are never nil
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if summary.Highlights == nil {
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summary.Highlights = []string{}
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}
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if summary.ActionItems == nil {
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summary.ActionItems = []string{}
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}
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rctx.Logger().Debug("AI summarization successful",
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mlog.String("channel_name", channelName),
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mlog.Int("highlights_count", len(summary.Highlights)),
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mlog.Int("action_items_count", len(summary.ActionItems)),
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)
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return &summary, nil
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}
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func buildConversationTextWithIDs(posts []*model.Post) (string, []string) {
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var sb strings.Builder
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postIDs := make([]string, 0, len(posts))
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for _, post := range posts {
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// Collect post ID
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postIDs = append(postIDs, post.Id)
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// Posts should have Username populated by the caller
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// For posts without username, use UserId as fallback
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username := ""
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if usernameProp := post.GetProp("username"); usernameProp != nil {
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if usernameStr, ok := usernameProp.(string); ok {
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username = usernameStr
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}
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}
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if username == "" {
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username = post.UserId
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}
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sb.WriteString(fmt.Sprintf("[%s] %s (Post ID: %s): %s\n",
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time.UnixMilli(post.CreateAt).Format("15:04"),
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username,
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post.Id,
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post.Message))
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}
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return sb.String(), postIDs
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}
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