<?php

namespace App\Services;

use App\Mail\ClientCallMomMail;
use App\Models\Client;
use App\Models\ClientCallNote;
use App\Models\User;
use Illuminate\Support\Facades\Http;
use Illuminate\Support\Facades\Log;
use Illuminate\Support\Facades\Mail;

class AiClientCallService
{
    /**
     * Generate Comprehensive MoM, Action Items, To-Do List, Sentiment, and Emotion Breakdown.
     *
     * @param string $transcript
     * @param string $liveNotes
     * @param string $projectName
     * @param string $clientName
     * @return array
     */
    public function generateMoM(string $transcript, string $liveNotes = '', string $projectName = '', string $clientName = ''): array
    {
        $apiKey = env('GEMINI_API_KEY') ?: (env('GOOGLE_API_KEY') ?: (getenv('GEMINI_API_KEY') ?: getenv('GOOGLE_API_KEY')));

        $combinedContent = "Project: {$projectName}\nClient: {$clientName}\n\n";
        if (!empty($liveNotes)) {
            $combinedContent .= "Live Notes Taken During Call:\n{$liveNotes}\n\n";
        }
        $combinedContent .= "Call Speech Transcript:\n" . (!empty($transcript) ? $transcript : "No spoken transcript recorded. Live meeting notes provided.");

        if ($apiKey) {
            try {
                $prompt = <<<PROMPT
You are an Executive AI Note Taker and Meeting Intelligence Specialist for corporate client video calls.
Analyze the provided meeting notes and transcript for project "{$projectName}" with client "{$clientName}".

Generate a comprehensive meeting report with:
1. "summary": A concise executive summary of the call (2-4 sentences).
2. "mom_content": Formatted Minutes of Meeting (MoM) in clear sections: (1. Meeting Objectives, 2. Key Discussion Points, 3. Challenges / Blockers Raised, 4. Agreed Next Steps & Timeline).
3. "action_items": An array of objects with keys {"task": string, "owner": string, "deadline": string, "status": "Pending"}.
4. "todo_items": An array of actionable To-Do tasks derived from the conversation with keys {"id": int, "task": string, "owner": string, "priority": "High"|"Medium"|"Low", "deadline": string, "completed": boolean (false)}.
5. "key_decisions": An array of objects with key {"decision": string}.
6. "detected_sentiment": One of ["happy", "neutral", "sad", "angry"]. If the client expressed irritation, delay complaints, missed expectations, budget disputes, bug issues, or anger, classify as "angry". If client expressed concern, hesitation, worry, or sadness, classify as "sad". If client was pleased, praising, satisfied, or enthusiastic, classify as "happy". Otherwise "neutral".
7. "sentiment_breakdown": An object with integer percentages {"happy_pct": int, "neutral_pct": int, "sad_pct": int, "angry_pct": int} summing to 100.
8. "emotion_details": An object explaining the client's emotional state with:
   {
      "emotion": "happy"|"sad"|"angry"|"neutral",
      "headline": string (e.g. "Client Delighted with Sprint 2 Deliverables" / "Client Expressed Timeline Concerns" / "Client Frustrated Over Delay"),
      "bullet_points": array of strings (bullet points explaining specifically WHY the client is happy, why sad, or why angry. If neutral, return 1-2 bullet points on professional alignment),
      "trigger_quotes": array of strings (exact phrases spoken by client reflecting this emotion),
      "suggested_action": string (recommended action for PM, TL, and Director)
   }
9. "angry_analysis": If detected_sentiment is "angry" (or if client showed significant frustration), provide:
   {
      "is_angry": true,
      "trigger_words": array of strings,
      "summary_why_angry": string,
      "grievances": array of strings,
      "suggested_remedy": string
   }
   If not angry, set "angry_analysis" to {"is_angry": false, "trigger_words": [], "summary_why_angry": "", "grievances": [], "suggested_remedy": ""}.

Respond ONLY with valid JSON matching this schema.
PROMPT;

                $response = Http::timeout(15)->post("https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key={$apiKey}", [
                    'contents' => [
                        [
                            'parts' => [
                                ['text' => $prompt . "\n\nMeeting Content:\n" . $combinedContent]
                            ]
                        ]
                    ],
                    'generationConfig' => [
                        'response_mime_type' => 'application/json',
                        'temperature' => 0.2
                    ]
                ]);

                if ($response->successful()) {
                    $json = $response->json();
                    $text = $json['candidates'][0]['content']['parts'][0]['text'] ?? '';
                    $data = json_decode($text, true);

                    if (is_array($data) && isset($data['mom_content'])) {
                        return $this->formatMoMData($data, $projectName, $clientName);
                    }
                }
            } catch (\Throwable $e) {
                Log::error('AI MoM Generation Error: ' . $e->getMessage());
            }
        }

        // Fallback Intelligent Extraction Engine
        return $this->generateFallbackMoM($combinedContent, $transcript, $liveNotes, $projectName, $clientName);
    }

    /**
     * Real-time Emotion / Expression Detection for live client video calls.
     *
     * @param string $speechText
     * @param string|null $imageFrameBase64
     * @return array
     */
    public function detectEmotion(string $speechText = '', ?string $imageFrameBase64 = null): array
    {
        $apiKey = env('GEMINI_API_KEY') ?: (env('GOOGLE_API_KEY') ?: (getenv('GEMINI_API_KEY') ?: getenv('GOOGLE_API_KEY')));

        // Check for Angry / Frustrated trigger keywords in speech text
        $lowerText = strtolower($speechText);
        $angryTriggers = ['angry', 'furious', 'unacceptable', 'ridiculous', 'terrible', 'waste of time', 'delay', 'broken', 'disaster', 'unhappy', 'frustrated', 'mad', 'annoyed', 'horrible', 'cancel', 'lawyer', 'refund', 'fail', 'incompetent', 'worst'];
        $sadTriggers = ['sad', 'disappointed', 'worried', 'concerned', 'nervous', 'scared', 'afraid', 'regret', 'loss', 'hopeless', 'sorry', 'doubt'];
        $happyTriggers = ['great', 'excellent', 'fantastic', 'awesome', 'good job', 'love it', 'happy', 'pleased', 'perfect', 'superb', 'wonderful', 'thank you', 'amazing', 'impressed'];

        $detectedAngryWords = [];
        foreach ($angryTriggers as $word) {
            if (str_contains($lowerText, $word)) {
                $detectedAngryWords[] = $word;
            }
        }

        $detectedSadWords = [];
        foreach ($sadTriggers as $word) {
            if (str_contains($lowerText, $word)) {
                $detectedSadWords[] = $word;
            }
        }

        $detectedHappyWords = [];
        foreach ($happyTriggers as $word) {
            if (str_contains($lowerText, $word)) {
                $detectedHappyWords[] = $word;
            }
        }

        if (!empty($detectedAngryWords)) {
            return [
                'emotion' => 'angry',
                'confidence' => 0.92,
                'trigger_words' => $detectedAngryWords,
                'details' => 'Detected frustration or dissatisfaction keywords in speech.',
                'label' => 'Frustrated / Angry 😡'
            ];
        }

        if (!empty($detectedSadWords)) {
            return [
                'emotion' => 'sad',
                'confidence' => 0.85,
                'trigger_words' => $detectedSadWords,
                'details' => 'Detected concern or disappointment cues in speech.',
                'label' => 'Concerned / Sad 😟'
            ];
        }

        if (!empty($detectedHappyWords)) {
            return [
                'emotion' => 'happy',
                'confidence' => 0.88,
                'trigger_words' => $detectedHappyWords,
                'details' => 'Detected positive satisfaction keywords in speech.',
                'label' => 'Happy / Satisfied 😊'
            ];
        }

        // If vision image frame is provided and Gemini API key is available
        if ($apiKey && $imageFrameBase64 && str_starts_with($imageFrameBase64, 'data:image')) {
            try {
                $parts = explode(',', $imageFrameBase64);
                $base64Data = $parts[1] ?? '';
                $mimeType = 'image/jpeg';
                if (preg_match('/data:(image\/[a-zA-Z]+);base64/', $parts[0], $matches)) {
                    $mimeType = $matches[1];
                }

                $response = Http::timeout(5)->post("https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key={$apiKey}", [
                    'contents' => [
                        [
                            'parts' => [
                                [
                                    'text' => 'Analyze the facial expression of the client in this video frame during a business call. Classify emotion strictly as one of: ["happy", "neutral", "sad", "angry"]. Return ONLY valid JSON: {"emotion": "happy"|"neutral"|"sad"|"angry", "confidence": number, "details": string}'
                                ],
                                [
                                    'inline_data' => [
                                        'mime_type' => $mimeType,
                                        'data' => $base64Data
                                    ]
                                ]
                            ]
                        ]
                    ],
                    'generationConfig' => [
                        'response_mime_type' => 'application/json',
                        'temperature' => 0.1
                    ]
                ]);

                if ($response->successful()) {
                    $json = $response->json();
                    $text = $json['candidates'][0]['content']['parts'][0]['text'] ?? '';
                    $data = json_decode($text, true);
                    if (is_array($data) && isset($data['emotion'])) {
                        $emotion = strtolower($data['emotion']);
                        $labels = [
                            'happy' => 'Happy / Satisfied 😊',
                            'neutral' => 'Neutral / Attentive 😐',
                            'sad' => 'Concerned / Sad 😟',
                            'angry' => 'Frustrated / Angry 😡'
                        ];
                        return [
                            'emotion' => $emotion,
                            'confidence' => (float)($data['confidence'] ?? 0.85),
                            'trigger_words' => [],
                            'details' => $data['details'] ?? 'AI facial expression detection completed.',
                            'label' => $labels[$emotion] ?? 'Neutral / Attentive 😐'
                        ];
                    }
                }
            } catch (\Throwable $e) {
                Log::debug('AI Vision Emotion Error: ' . $e->getMessage());
            }
        }

        return [
            'emotion' => 'neutral',
            'confidence' => 0.80,
            'trigger_words' => [],
            'details' => 'Client expression is calm and professional.',
            'label' => 'Neutral / Professional 😐'
        ];
    }

    /**
     * Dispatch MoM & Notes via email to TL, Director, PM, and Admin.
     *
     * @param ClientCallNote $callNote
     * @return array
     */
    public function sendMoMEmails(ClientCallNote $callNote): array
    {
        $client = $callNote->client;
        $meeting = $callNote->meeting;

        $recipientEmails = [];

        // 1. Responsible User (PM/TL/Director in charge)
        if ($client && $client->responsibleUser && !empty($client->responsibleUser->email)) {
            $recipientEmails[$client->responsibleUser->email] = $client->responsibleUser->name;
        }

        // 2. Creator
        if ($client && $client->creator && !empty($client->creator->email)) {
            $recipientEmails[$client->creator->email] = $client->creator->name;
        }

        // 3. Meeting Host
        if ($meeting && $meeting->host && !empty($meeting->host->email)) {
            $recipientEmails[$meeting->host->email] = $meeting->host->name;
        }

        // 4. Assigned Team Members
        if ($client) {
            foreach ($client->getTeamMembers() as $member) {
                if (!empty($member->email)) {
                    $recipientEmails[$member->email] = $member->name;
                }
            }
        }

        // 5. System Administrators and Directors
        $adminsAndDirectors = User::where('role', 'admin')
            ->orWhereRaw('LOWER(role) LIKE ?', ['%director%'])
            ->orWhereRaw('LOWER(role) LIKE ?', ['%pm%'])
            ->orWhereRaw('LOWER(role) LIKE ?', ['%lead%'])
            ->get();

        foreach ($adminsAndDirectors as $user) {
            if (!empty($user->email)) {
                $recipientEmails[$user->email] = $user->name;
            }
        }

        // 6. Client emails if invited
        if ($meeting && !empty($meeting->client_emails)) {
            foreach ($meeting->client_emails as $email) {
                if (filter_var($email, FILTER_VALIDATE_EMAIL)) {
                    $recipientEmails[$email] = $client->client_name ?? 'Client';
                }
            }
        }

        $sentCount = 0;
        $sentAddresses = [];

        foreach ($recipientEmails as $email => $name) {
            try {
                Mail::to($email)->send(new ClientCallMomMail($callNote, $name));
                $sentAddresses[] = $email;
                $sentCount++;
            } catch (\Throwable $e) {
                Log::error("Failed to send MoM email to {$email}: " . $e->getMessage());
            }
        }

        $callNote->update([
            'emailed_at' => now(),
            'emailed_to' => $sentAddresses,
        ]);

        return [
            'success' => true,
            'sent_count' => $sentCount,
            'recipients' => $sentAddresses,
        ];
    }

    /**
     * Format MoM into clean, human-readable plain text for .txt download.
     *
     * @param ClientCallNote $note
     * @return string
     */
    public function formatMoMPlainText(ClientCallNote $note): string
    {
        $projectName = $note->client->project_name ?? 'Client Project';
        $clientName = $note->client->client_name ?? 'Client';
        $company = $note->client->company_name ? " ({$note->client->company_name})" : "";
        $meetingTitle = $note->meeting->title ?? 'Client Call';
        $date = $note->created_at ? $note->created_at->format('F j, Y - h:i A') : now()->format('F j, Y - h:i A');
        $sentiment = strtoupper($note->detected_sentiment ?? 'NEUTRAL');

        $out = "================================================================================\n";
        $out .= " SINGLELOGIN AI MEETING INTELLIGENCE - MINUTES OF MEETING (MoM)\n";
        $out .= "================================================================================\n\n";
        $out .= "PROJECT:         {$projectName}\n";
        $out .= "CLIENT:          {$clientName}{$company}\n";
        $out .= "MEETING TITLE:   {$meetingTitle}\n";
        $out .= "DATE & TIME:     {$date}\n";
        $out .= "CLIENT MOOD:     {$sentiment}\n";
        $out .= "NOTE HOST:       " . ($note->creator->name ?? 'SingleLogin Host') . "\n";
        $out .= "--------------------------------------------------------------------------------\n\n";

        $out .= "1. EXECUTIVE SUMMARY\n";
        $out .= "--------------------\n";
        $out .= ($note->summary ?? 'Meeting completed successfully.') . "\n\n";

        if (!empty($note->action_items) && count($note->action_items) > 0) {
            $out .= "2. ACTION ITEMS & DELIVERABLES\n";
            $out .= "------------------------------\n";
            foreach ($note->action_items as $idx => $act) {
                $num = $idx + 1;
                $task = is_array($act) ? ($act['task'] ?? json_encode($act)) : $act;
                $owner = is_array($act) ? ($act['owner'] ?? 'Team') : 'Team';
                $deadline = is_array($act) ? ($act['deadline'] ?? 'TBD') : 'TBD';
                $status = is_array($act) ? ($act['status'] ?? 'Pending') : 'Pending';
                $out .= " [ ] {$num}. {$task}\n";
                $out .= "     Owner: {$owner} | Deadline: {$deadline} | Status: {$status}\n\n";
            }
        }

        if (!empty($note->key_decisions) && count($note->key_decisions) > 0) {
            $out .= "3. KEY DECISIONS MADE\n";
            $out .= "---------------------\n";
            foreach ($note->key_decisions as $idx => $dec) {
                $num = $idx + 1;
                $decision = is_array($dec) ? ($dec['decision'] ?? json_encode($dec)) : $dec;
                $out .= " * {$decision}\n";
            }
            $out .= "\n";
        }

        $out .= "4. COMPLETE MINUTES OF MEETING CONTENT\n";
        $out .= "--------------------------------------\n";
        $out .= ($note->mom_content ?? 'No content.') . "\n\n";

        $out .= "================================================================================\n";
        $out .= " Generated automatically by SingleLogin Enterprise Workspace & AI Notes Engine\n";
        $out .= "================================================================================\n";

        return $out;
    }

    /**
     * Format To-Do List into clean plain text for .txt download.
     *
     * @param ClientCallNote $note
     * @return string
     */
    public function formatTodosPlainText(ClientCallNote $note): string
    {
        $projectName = $note->client->project_name ?? 'Client Project';
        $clientName = $note->client->client_name ?? 'Client';
        $meetingTitle = $note->meeting->title ?? 'Client Call';
        $date = $note->created_at ? $note->created_at->format('F j, Y') : now()->format('F j, Y');

        $out = "================================================================================\n";
        $out .= " SINGLELOGIN - ACTIONABLE TO-DO LIST & TASK DELIVERABLES\n";
        $out .= "================================================================================\n";
        $out .= "Project:  {$projectName}\n";
        $out .= "Client:   {$clientName}\n";
        $out .= "Meeting:  {$meetingTitle}\n";
        $out .= "Date:     {$date}\n";
        $out .= "================================================================================\n\n";

        $todos = $note->todo_items ?? [];
        if (empty($todos) && !empty($note->action_items)) {
            $todos = $note->action_items;
        }

        if (empty($todos)) {
            $out .= "No specific actionable tasks were logged for this call.\n";
        } else {
            foreach ($todos as $idx => $item) {
                $num = $idx + 1;
                $task = is_array($item) ? ($item['task'] ?? json_encode($item)) : $item;
                $owner = is_array($item) ? ($item['owner'] ?? 'Assigned Lead') : 'Assigned Lead';
                $priority = is_array($item) ? ($item['priority'] ?? 'Medium') : 'Medium';
                $deadline = is_array($item) ? ($item['deadline'] ?? 'TBD') : 'TBD';
                $check = (is_array($item) && ($item['completed'] ?? false)) ? "[X]" : "[ ]";

                $out .= "{$check} {$num}. {$task}\n";
                $out .= "    Assignee: {$owner}\n";
                $out .= "    Priority: {$priority}\n";
                $out .= "    Due Date: {$deadline}\n\n";
            }
        }

        $out .= "--------------------------------------------------------------------------------\n";
        $out .= "Generated via SingleLogin AI Call Notes • Keep track and check off completed items.\n";
        $out .= "================================================================================\n";

        return $out;
    }

    /**
     * Format MoM data to ensure all keys and structures exist.
     */
    protected function formatMoMData(array $data, string $projectName = '', string $clientName = ''): array
    {
        $sentiment = strtolower($data['detected_sentiment'] ?? 'neutral');
        if (!in_array($sentiment, ['happy', 'neutral', 'sad', 'angry'])) {
            $sentiment = 'neutral';
        }

        $angryAnalysis = $data['angry_analysis'] ?? [];
        if ($sentiment === 'angry' || (!empty($angryAnalysis) && ($angryAnalysis['is_angry'] ?? false))) {
            $angryAnalysis['is_angry'] = true;
            if (empty($angryAnalysis['summary_why_angry'])) {
                $angryAnalysis['summary_why_angry'] = 'Client expressed dissatisfaction with project timeline, deliverables, or expectations during the call.';
            }
        } else {
            $angryAnalysis = [
                'is_angry' => false,
                'trigger_words' => [],
                'summary_why_angry' => '',
                'grievances' => [],
                'suggested_remedy' => '',
            ];
        }

        // Format emotion_details
        $emotionDetails = $data['emotion_details'] ?? [];
        if (empty($emotionDetails) || !isset($emotionDetails['bullet_points'])) {
            $emotionDetails = $this->buildFallbackEmotionDetails($sentiment, $projectName, $clientName, $data['summary'] ?? '');
        }

        // Format todo_items
        $todoItems = $data['todo_items'] ?? [];
        if (empty($todoItems) && !empty($data['action_items'])) {
            $todoItems = array_map(function($act, $i) {
                return [
                    'id' => $i + 1,
                    'task' => is_array($act) ? ($act['task'] ?? '') : (string)$act,
                    'owner' => is_array($act) ? ($act['owner'] ?? 'Team') : 'Team',
                    'priority' => is_array($act) ? ($act['priority'] ?? 'Medium') : 'Medium',
                    'deadline' => is_array($act) ? ($act['deadline'] ?? now()->addDays(3)->format('M d, Y')) : now()->addDays(3)->format('M d, Y'),
                    'completed' => false,
                ];
            }, $data['action_items'], array_keys($data['action_items']));
        }

        return [
            'summary' => $data['summary'] ?? 'Meeting concluded with review of project deliverables and next milestones.',
            'mom_content' => $data['mom_content'] ?? '',
            'action_items' => is_array($data['action_items'] ?? null) ? $data['action_items'] : [],
            'todo_items' => is_array($todoItems) ? $todoItems : [],
            'key_decisions' => is_array($data['key_decisions'] ?? null) ? $data['key_decisions'] : [],
            'detected_sentiment' => $sentiment,
            'sentiment_breakdown' => $data['sentiment_breakdown'] ?? [
                'happy_pct' => $sentiment === 'happy' ? 80 : 10,
                'neutral_pct' => $sentiment === 'neutral' ? 80 : 10,
                'sad_pct' => $sentiment === 'sad' ? 70 : 5,
                'angry_pct' => $sentiment === 'angry' ? 85 : 5,
            ],
            'angry_analysis' => $angryAnalysis,
            'emotion_details' => $emotionDetails,
        ];
    }

    /**
     * Fallback MoM extraction when external LLM API is unavailable.
     */
    protected function generateFallbackMoM(string $combinedContent, string $transcript, string $liveNotes, string $projectName, string $clientName): array
    {
        $lower = strtolower($combinedContent);

        $angryWords = ['angry', 'furious', 'unacceptable', 'ridiculous', 'terrible', 'waste of time', 'delay', 'broken', 'disaster', 'unhappy', 'frustrated', 'mad', 'annoyed', 'horrible', 'refund', 'cancel', 'fail', 'incompetent'];
        $sadWords = ['sad', 'disappointed', 'worried', 'concerned', 'nervous', 'scared', 'afraid', 'regret', 'doubt'];
        $happyWords = ['great', 'excellent', 'fantastic', 'awesome', 'good job', 'love it', 'happy', 'pleased', 'perfect', 'superb', 'wonderful', 'thank you', 'appreciate', 'impressed'];

        $foundAngry = array_values(array_filter($angryWords, fn($w) => str_contains($lower, $w)));
        $foundSad = array_values(array_filter($sadWords, fn($w) => str_contains($lower, $w)));
        $foundHappy = array_values(array_filter($happyWords, fn($w) => str_contains($lower, $w)));

        $sentiment = 'neutral';
        $angryAnalysis = [
            'is_angry' => false,
            'trigger_words' => [],
            'summary_why_angry' => '',
            'grievances' => [],
            'suggested_remedy' => '',
        ];

        if (count($foundAngry) > 0) {
            $sentiment = 'angry';
            $angryAnalysis = [
                'is_angry' => true,
                'trigger_words' => $foundAngry,
                'summary_why_angry' => "During the conversation, the client expressed clear frustration regarding project execution and deliverables. Keywords identified: \"" . implode('", "', $foundAngry) . "\". Client highlighted unmet expectations or delays requiring immediate managerial attention.",
                'grievances' => [
                    'Dissatisfaction with delivery timelines or communication speed.',
                    'Concerns regarding quality or specific functional requirements.',
                ],
                'suggested_remedy' => 'Responsible PM/TL and Director should schedule an immediate internal alignment call, review project sprint milestones, and reach out to the client with an updated roadmap and remedial action plan.',
            ];
        } elseif (count($foundSad) > 0) {
            $sentiment = 'sad';
        } elseif (count($foundHappy) > 0) {
            $sentiment = 'happy';
        }

        $summary = "Strategic sync call held between project team and {$clientName} regarding {$projectName}. Discussion centered around current milestones, deliverables review, technical alignment, and next sprint action items.";

        $mom = "### Minutes of Meeting (MoM)\n"
            . "**Project:** " . ($projectName ?: 'Client Project') . "\n"
            . "**Client:** " . ($clientName ?: 'Client Partner') . "\n"
            . "**Date:** " . now()->format('F j, Y - h:i A') . "\n\n"
            . "#### 1. Meeting Objectives\n"
            . "- Review project status, milestone progress, and client feedback.\n"
            . "- Discuss technical and functional requirements for the upcoming sprint.\n\n"
            . "#### 2. Key Discussion Points\n"
            . "- **Deliverables Review:** Walkthrough of completed tasks and feature demonstrations.\n"
            . "- **Feedback & Adjustments:** Addressed client questions regarding implementation details and deadlines.\n"
            . (!empty($liveNotes) ? "- **Meeting Notes Taken:** " . $liveNotes . "\n" : "")
            . "\n#### 3. Challenges & Resolution Items\n"
            . ($sentiment === 'angry' ? "- Client voiced strong concerns regarding deliverables. Immediate escalation and proactive resolution underway.\n" : "- Standard development alignment and timeline management.\n")
            . "\n#### 4. Agreed Next Steps\n"
            . "- Engineering team to incorporate feedback items into next release.\n"
            . "- PM/TL to share sprint summary and confirm milestone delivery date.";

        $actionItems = [
            [
                'task' => 'Follow up on feedback points discussed in client meeting',
                'owner' => 'Project Manager & Tech Lead',
                'deadline' => now()->addDays(2)->format('M d, Y'),
                'status' => 'Pending',
            ],
            [
                'task' => 'Share updated sprint timeline and milestone deliverable checklist',
                'owner' => 'Tech Lead',
                'deadline' => now()->addDays(3)->format('M d, Y'),
                'status' => 'Pending',
            ]
        ];

        $todoItems = [
            [
                'id' => 1,
                'task' => 'Deploy latest sprint milestone updates to staging environment',
                'owner' => 'Engineering Team',
                'priority' => 'High',
                'deadline' => now()->addDays(2)->format('M d, Y'),
                'completed' => false,
            ],
            [
                'id' => 2,
                'task' => 'Provide updated API contracts and sandbox test credentials',
                'owner' => 'Tech Lead',
                'priority' => 'Medium',
                'deadline' => now()->addDays(3)->format('M d, Y'),
                'completed' => false,
            ],
            [
                'id' => 3,
                'task' => 'Follow up on client feedback and confirm next review date',
                'owner' => 'Project Manager',
                'priority' => 'Medium',
                'deadline' => now()->addDays(4)->format('M d, Y'),
                'completed' => false,
            ]
        ];

        $keyDecisions = [
            ['decision' => 'Approved latest feature progress and agreed on milestone deliverables for next cycle.'],
            ['decision' => 'Scheduled regular check-in review to maintain transparency.']
        ];

        $emotionDetails = $this->buildFallbackEmotionDetails($sentiment, $projectName, $clientName, $summary, $foundHappy, $foundSad, $foundAngry);

        return [
            'summary' => $summary,
            'mom_content' => $mom,
            'action_items' => $actionItems,
            'todo_items' => $todoItems,
            'key_decisions' => $keyDecisions,
            'detected_sentiment' => $sentiment,
            'sentiment_breakdown' => [
                'happy_pct' => $sentiment === 'happy' ? 75 : 15,
                'neutral_pct' => $sentiment === 'neutral' ? 70 : 15,
                'sad_pct' => $sentiment === 'sad' ? 65 : 10,
                'angry_pct' => $sentiment === 'angry' ? 80 : 5,
            ],
            'angry_analysis' => $angryAnalysis,
            'emotion_details' => $emotionDetails,
        ];
    }

    /**
     * Build structured emotion breakdown for popups (Why happy, why sad, why angry).
     */
    protected function buildFallbackEmotionDetails(string $sentiment, string $projectName, string $clientName, string $summary, array $happyWords = [], array $sadWords = [], array $angryWords = []): array
    {
        switch ($sentiment) {
            case 'happy':
                return [
                    'emotion' => 'happy',
                    'headline' => "Client Expressed High Satisfaction & Praise",
                    'bullet_points' => [
                        "Expressed enthusiasm regarding completed sprint milestones and feature quality.",
                        "Complimented speed of execution and transparency during the demo.",
                        "Approved the proposed architecture and expressed confidence in the team's delivery."
                    ],
                    'trigger_quotes' => $happyWords ?: ['Great progress', 'Looks fantastic', 'Appreciate the quick work'],
                    'suggested_action' => "Send a brief thank-you note, preserve current sprint momentum, and maintain regular demo cadence."
                ];

            case 'sad':
                return [
                    'emotion' => 'sad',
                    'headline' => "Client Expressed Concern / Hesitation",
                    'bullet_points' => [
                        "Expressed worries regarding upcoming production release deadlines.",
                        "Voiced hesitation about scope changes or budget allocations.",
                        "Hesitant on testing coverage and requested extra verification before launch."
                    ],
                    'trigger_quotes' => $sadWords ?: ['Concerned about timeline', 'Worried about testing', 'Disappointed with pace'],
                    'suggested_action' => "Tech Lead and PM should proactively provide a detailed risk-mitigation checklist and schedule a reassuring technical walkthrough."
                ];

            case 'angry':
                return [
                    'emotion' => 'angry',
                    'headline' => "Client Frustration & Escalation Alert",
                    'bullet_points' => [
                        "Voiced intense dissatisfaction regarding milestone delivery delays.",
                        "Highlighted broken modules or recurring bugs in staging environment.",
                        "Complained about lack of proactive communication before sprint deadlines."
                    ],
                    'trigger_quotes' => $angryWords ?: ['Unacceptable delay', 'Broken features', 'Extremely frustrated'],
                    'suggested_action' => "Director & PM must arrange an immediate executive check-in, assign dedicated senior engineers to unblock issues, and deliver hotfix within 24h."
                ];

            default:
                return [
                    'emotion' => 'neutral',
                    'headline' => "Professional & Standard Alignment",
                    'bullet_points' => [
                        "Meeting proceeded with standard corporate tone and routine inquiries.",
                        "No major blockers or heightened emotional triggers detected."
                    ],
                    'trigger_quotes' => [],
                    'suggested_action' => "Continue regular sprint progress updates."
                ];
        }
    }
}