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| 1 | <?php |
| 2 | |
| 3 | namespace App\Http\Services\Reports; |
| 4 | |
| 5 | use App\Http\Models\RolePlayConversations; |
| 6 | use App\Http\Models\RolePlayProjects; |
| 7 | use App\Http\Models\UserInfo; |
| 8 | use Carbon\Carbon; |
| 9 | use MongoDB\BSON\UTCDateTime; |
| 10 | |
| 11 | /** |
| 12 | * Service for generating roleplay (Sales Training) analytics reports. |
| 13 | * |
| 14 | * Provides aggregation pipelines against the role_play_conversations collection |
| 15 | * to produce chart data, summary statistics, spotlight KPIs, and CSV exports |
| 16 | * for the admin and CMC reporting panels. |
| 17 | */ |
| 18 | class RolePlayReportService |
| 19 | { |
| 20 | /** |
| 21 | * Available chart types and their metadata. |
| 22 | * |
| 23 | * @var array<string, array{label: string, tooltip: string}> |
| 24 | */ |
| 25 | private array $chartMeta = [ |
| 26 | 'sessions_completed' => [ |
| 27 | 'label' => 'Sessions Completed', |
| 28 | 'tooltip' => 'Total number of completed roleplay sessions over the selected period.', |
| 29 | ], |
| 30 | 'practice_time' => [ |
| 31 | 'label' => 'Practice Time (hrs)', |
| 32 | 'tooltip' => 'Total practice time in hours across all completed sessions.', |
| 33 | ], |
| 34 | 'active_users' => [ |
| 35 | 'label' => 'Active Practitioners', |
| 36 | 'tooltip' => 'Number of unique users who completed at least one session.', |
| 37 | ], |
| 38 | 'average_score' => [ |
| 39 | 'label' => 'Average Score', |
| 40 | 'tooltip' => 'Average session score (0-100) across all completed sessions.', |
| 41 | ], |
| 42 | 'score_by_call_type' => [ |
| 43 | 'label' => 'Score by Call Type', |
| 44 | 'tooltip' => 'Average score breakdown by Cold Call vs Discovery Call.', |
| 45 | ], |
| 46 | 'score_by_section' => [ |
| 47 | 'label' => 'Score by Section', |
| 48 | 'tooltip' => 'Average scores across scorecard sections (e.g. Introduction, Value Proposition).', |
| 49 | ], |
| 50 | 'score_distribution' => [ |
| 51 | 'label' => 'Score Distribution', |
| 52 | 'tooltip' => 'Distribution of session scores across score ranges.', |
| 53 | ], |
| 54 | 'completion_rate' => [ |
| 55 | 'label' => 'Completion Rate (%)', |
| 56 | 'tooltip' => 'Percentage of sessions completed successfully vs total sessions started.', |
| 57 | ], |
| 58 | ]; |
| 59 | |
| 60 | /** |
| 61 | * Return available chart definitions. |
| 62 | * |
| 63 | * @param bool $includeCmcOnly Whether to include CMC-only charts (e.g. completion_rate) |
| 64 | * @return array<int, array{value: string, label: string}> |
| 65 | */ |
| 66 | public function availableCharts(bool $includeCmcOnly = false): array |
| 67 | { |
| 68 | $charts = []; |
| 69 | foreach ($this->chartMeta as $value => $meta) { |
| 70 | if ($value === 'completion_rate' && ! $includeCmcOnly) { |
| 71 | continue; |
| 72 | } |
| 73 | $charts[] = ['value' => $value, 'label' => $meta['label']]; |
| 74 | } |
| 75 | |
| 76 | return $charts; |
| 77 | } |
| 78 | |
| 79 | /** |
| 80 | * Generate time-series chart data for a given chart type. |
| 81 | * |
| 82 | * @param string $type The chart type identifier |
| 83 | * @param array $userIds Scoped user IDs |
| 84 | * @param Carbon $startDate Start of the date range |
| 85 | * @param Carbon $endDate End of the date range |
| 86 | * @param string|null $callType Optional call type filter (cold-call, discovery-call) |
| 87 | * @return array Chart response data |
| 88 | */ |
| 89 | public function getChartData(string $type, array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType = null): array |
| 90 | { |
| 91 | if (empty($userIds)) { |
| 92 | return $this->emptyChartResponse($type, $startDate, $endDate); |
| 93 | } |
| 94 | |
| 95 | return match ($type) { |
| 96 | 'sessions_completed' => $this->chartSessionsCompleted($userIds, $startDate, $endDate, $callType), |
| 97 | 'practice_time' => $this->chartPracticeTime($userIds, $startDate, $endDate, $callType), |
| 98 | 'active_users' => $this->chartActiveUsers($userIds, $startDate, $endDate, $callType), |
| 99 | 'average_score' => $this->chartAverageScore($userIds, $startDate, $endDate, $callType), |
| 100 | 'score_by_call_type' => $this->chartScoreByCallType($userIds, $startDate, $endDate), |
| 101 | 'score_by_section' => $this->chartScoreBySection($userIds, $startDate, $endDate, $callType), |
| 102 | 'score_distribution' => $this->chartScoreDistribution($userIds, $startDate, $endDate, $callType), |
| 103 | 'completion_rate' => $this->chartCompletionRate($userIds, $startDate, $endDate, $callType), |
| 104 | default => ['chart' => []], |
| 105 | }; |
| 106 | } |
| 107 | |
| 108 | /** |
| 109 | * Generate summary data (total, average, top 5 users) for a given chart type. |
| 110 | * |
| 111 | * @param string $type The chart type identifier |
| 112 | * @param array $userIds Scoped user IDs |
| 113 | * @param Carbon $startDate Start of the date range |
| 114 | * @param Carbon $endDate End of the date range |
| 115 | * @param string|null $callType Optional call type filter |
| 116 | * @return array Summary data with label, title, tooltip, total, average, top 5 |
| 117 | */ |
| 118 | public function getSummaryData(string $type, array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType = null): array |
| 119 | { |
| 120 | $meta = $this->chartMeta[$type] ?? ['label' => ucfirst($type), 'tooltip' => '']; |
| 121 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 122 | |
| 123 | if (empty($userIds)) { |
| 124 | return [ |
| 125 | 'label' => $meta['label'], |
| 126 | 'title' => $meta['label'], |
| 127 | 'tooltip' => $meta['tooltip'], |
| 128 | 'total' => 0, |
| 129 | 'average' => 0, |
| 130 | 'top' => [], |
| 131 | ]; |
| 132 | } |
| 133 | |
| 134 | $topMetric = match ($type) { |
| 135 | 'sessions_completed', 'active_users' => 'count', |
| 136 | 'practice_time' => 'duration', |
| 137 | 'average_score' => 'score', |
| 138 | default => 'count', |
| 139 | }; |
| 140 | |
| 141 | // Get per-user aggregates |
| 142 | $groupOp = match ($topMetric) { |
| 143 | 'count' => ['$sum' => 1], |
| 144 | 'duration' => ['$sum' => '$duration'], |
| 145 | 'score' => ['$avg' => '$score'], |
| 146 | }; |
| 147 | |
| 148 | $pipeline = [ |
| 149 | ['$match' => $baseMatch], |
| 150 | ['$group' => ['_id' => '$user_id', 'value' => $groupOp]], |
| 151 | ]; |
| 152 | |
| 153 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 154 | $userValues = []; |
| 155 | $total = 0; |
| 156 | $userCount = 0; |
| 157 | foreach ($results as $row) { |
| 158 | $val = $row['value'] ?? 0; |
| 159 | if ($topMetric === 'duration') { |
| 160 | $val = round($val / 3600, 2); // seconds to hours |
| 161 | } |
| 162 | $userValues[$row['_id']] = $val; |
| 163 | $total += ($topMetric === 'score') ? 0 : $val; |
| 164 | $userCount++; |
| 165 | } |
| 166 | |
| 167 | if ($topMetric === 'score') { |
| 168 | // For average score, total is the mean across users |
| 169 | $total = $userCount > 0 ? round(array_sum($userValues) / $userCount, 1) : 0; |
| 170 | } |
| 171 | |
| 172 | // Resolve user names for top 5 |
| 173 | arsort($userValues); |
| 174 | $topUserIds = array_slice(array_keys($userValues), 0, 5); |
| 175 | |
| 176 | $userInfoPipeline = [ |
| 177 | ['$match' => ['user_id' => ['$in' => $topUserIds]]], |
| 178 | ['$project' => ['_id' => 0, 'user_id' => 1, 'full_name' => 1, 'avatar' => 1]], |
| 179 | ]; |
| 180 | $usersInfo = collect(UserInfo::raw(fn ($c) => $c->aggregate($userInfoPipeline))); |
| 181 | $userMap = []; |
| 182 | foreach ($usersInfo as $u) { |
| 183 | $userMap[$u['user_id']] = ['name' => $u['full_name'] ?? 'Unknown', 'avatar' => $u['avatar'] ?? null]; |
| 184 | } |
| 185 | |
| 186 | $top = []; |
| 187 | foreach ($topUserIds as $uid) { |
| 188 | $info = $userMap[$uid] ?? ['name' => 'Deleted User', 'avatar' => null]; |
| 189 | $top[] = [ |
| 190 | 'name' => $info['name'], |
| 191 | 'avatar' => $info['avatar'], |
| 192 | 'value' => round($userValues[$uid], 2), |
| 193 | ]; |
| 194 | } |
| 195 | |
| 196 | $average = $userCount > 0 ? round(($topMetric === 'score' ? $total : $total / $userCount), 2) : 0; |
| 197 | |
| 198 | $round = in_array($type, ['practice_time', 'average_score']) ? 2 : 0; |
| 199 | |
| 200 | return [ |
| 201 | 'label' => $meta['label'], |
| 202 | 'title' => $meta['label'], |
| 203 | 'tooltip' => $meta['tooltip'], |
| 204 | 'total' => $topMetric === 'score' ? $total : number_format(round($total, $round), $round), |
| 205 | 'average' => number_format($average, 2), |
| 206 | 'top' => $top, |
| 207 | ]; |
| 208 | } |
| 209 | |
| 210 | /** |
| 211 | * Generate spotlight KPI cards for the sales training dashboard. |
| 212 | * |
| 213 | * @param array $userIds Scoped user IDs |
| 214 | * @param Carbon $startDate Start of the date range |
| 215 | * @param Carbon $endDate End of the date range |
| 216 | * @param string|null $callType Optional call type filter |
| 217 | * @return array Array of KPI card data |
| 218 | */ |
| 219 | public function getSpotlight(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType = null): array |
| 220 | { |
| 221 | if (empty($userIds)) { |
| 222 | return [ |
| 223 | ['title' => 'Total Sessions', 'subtitle' => 'Completed Sessions', 'tooltip' => 'Total completed roleplay sessions.', 'amount' => 0, 'average' => ['value' => 0, 'label' => 'Average per User']], |
| 224 | ['title' => 'Practice Hours', 'subtitle' => 'Total Practice Time', 'tooltip' => 'Total time spent in roleplay sessions.', 'amount' => 0, 'average' => ['value' => 0, 'label' => 'Average per User']], |
| 225 | ['title' => 'Average Score', 'subtitle' => 'Overall Average', 'tooltip' => 'Average score across all completed sessions.', 'amount' => 0, 'average' => ['value' => 0, 'label' => 'Across all users']], |
| 226 | ['title' => 'Active Practitioners', 'subtitle' => 'Unique Users', 'tooltip' => 'Number of unique users with completed sessions.', 'amount' => 0, 'average' => ['value' => 0, 'label' => 'Sessions per User']], |
| 227 | ]; |
| 228 | } |
| 229 | |
| 230 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 231 | |
| 232 | $pipeline = [ |
| 233 | ['$match' => $baseMatch], |
| 234 | ['$group' => [ |
| 235 | '_id' => null, |
| 236 | 'sessions' => ['$sum' => 1], |
| 237 | 'totalDuration' => ['$sum' => '$duration'], |
| 238 | 'avgScore' => ['$avg' => '$score'], |
| 239 | 'uniqueUsers' => ['$addToSet' => '$user_id'], |
| 240 | ]], |
| 241 | ['$project' => [ |
| 242 | '_id' => 0, |
| 243 | 'sessions' => 1, |
| 244 | 'totalDuration' => 1, |
| 245 | 'avgScore' => 1, |
| 246 | 'activeUsers' => ['$size' => '$uniqueUsers'], |
| 247 | ]], |
| 248 | ]; |
| 249 | |
| 250 | $result = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline)))->first(); |
| 251 | |
| 252 | $sessions = $result->sessions ?? 0; |
| 253 | $hours = round(($result->totalDuration ?? 0) / 3600, 2); |
| 254 | $avgScore = round($result->avgScore ?? 0, 1); |
| 255 | $activeUsers = $result->activeUsers ?? 0; |
| 256 | $sessionsPerUser = $activeUsers > 0 ? round($sessions / $activeUsers, 1) : 0; |
| 257 | $hoursPerUser = $activeUsers > 0 ? round($hours / $activeUsers, 2) : 0; |
| 258 | |
| 259 | return [ |
| 260 | ['title' => 'Total Sessions', 'subtitle' => 'Completed Sessions', 'tooltip' => 'Total completed roleplay sessions over the selected period.', 'amount' => number_format($sessions), 'average' => ['value' => number_format($sessionsPerUser, 1), 'label' => 'Average per User']], |
| 261 | ['title' => 'Practice Hours', 'subtitle' => 'Total Practice Time', 'tooltip' => 'Total time spent in roleplay sessions (hours).', 'amount' => number_format($hours, 2), 'average' => ['value' => number_format($hoursPerUser, 2), 'label' => 'Average per User']], |
| 262 | ['title' => 'Average Score', 'subtitle' => 'Overall Average', 'tooltip' => 'Average score (0-100) across all completed sessions.', 'amount' => $avgScore, 'average' => ['value' => $avgScore, 'label' => 'Across all users']], |
| 263 | ['title' => 'Active Practitioners', 'subtitle' => 'Unique Users', 'tooltip' => 'Number of unique users who completed at least one session.', 'amount' => number_format($activeUsers), 'average' => ['value' => number_format($sessionsPerUser, 1), 'label' => 'Sessions per User']], |
| 264 | ]; |
| 265 | } |
| 266 | |
| 267 | /** |
| 268 | * Generate CSV export data for roleplay analytics. |
| 269 | * |
| 270 | * @param array $userIds Scoped user IDs |
| 271 | * @param Carbon $startDate Start of the date range |
| 272 | * @param Carbon $endDate End of the date range |
| 273 | * @param string|null $callType Optional call type filter |
| 274 | * @return array Array of rows with headers |
| 275 | */ |
| 276 | public function getExportData(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType = null): array |
| 277 | { |
| 278 | if (empty($userIds)) { |
| 279 | return [ |
| 280 | 'headers' => ['User Name', 'Email', 'Sessions Completed', 'Practice Time (hrs)', 'Average Score'], |
| 281 | 'rows' => [], |
| 282 | ]; |
| 283 | } |
| 284 | |
| 285 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 286 | |
| 287 | $pipeline = [ |
| 288 | ['$match' => $baseMatch], |
| 289 | ['$group' => [ |
| 290 | '_id' => '$user_id', |
| 291 | 'sessions' => ['$sum' => 1], |
| 292 | 'totalDuration' => ['$sum' => '$duration'], |
| 293 | 'avgScore' => ['$avg' => '$score'], |
| 294 | ]], |
| 295 | ]; |
| 296 | |
| 297 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 298 | $userAggregates = []; |
| 299 | foreach ($results as $row) { |
| 300 | $userAggregates[$row['_id']] = [ |
| 301 | 'sessions' => $row['sessions'], |
| 302 | 'hours' => round($row['totalDuration'] / 3600, 2), |
| 303 | 'avgScore' => round($row['avgScore'], 1), |
| 304 | ]; |
| 305 | } |
| 306 | |
| 307 | // Get user info |
| 308 | $userInfoPipeline = [ |
| 309 | ['$match' => ['user_id' => ['$in' => $userIds]]], |
| 310 | ['$project' => ['_id' => 0, 'user_id' => 1, 'full_name' => 1, 'email' => 1]], |
| 311 | ]; |
| 312 | $usersInfo = collect(UserInfo::raw(fn ($c) => $c->aggregate($userInfoPipeline))); |
| 313 | |
| 314 | $rows = []; |
| 315 | foreach ($usersInfo as $u) { |
| 316 | $userId = $u['user_id']; |
| 317 | $agg = $userAggregates[$userId] ?? ['sessions' => 0, 'hours' => 0, 'avgScore' => 0]; |
| 318 | $rows[] = [ |
| 319 | $u['full_name'] ?? 'Unknown', |
| 320 | $u['email'] ?? '', |
| 321 | $agg['sessions'], |
| 322 | $agg['hours'], |
| 323 | $agg['avgScore'], |
| 324 | ]; |
| 325 | } |
| 326 | |
| 327 | return [ |
| 328 | 'headers' => ['User Name', 'Email', 'Sessions Completed', 'Practice Time (hrs)', 'Average Score'], |
| 329 | 'rows' => $rows, |
| 330 | ]; |
| 331 | } |
| 332 | |
| 333 | // ─── Private Chart Methods ─────────────────────────────────────────── |
| 334 | |
| 335 | private function chartSessionsCompleted(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 336 | { |
| 337 | return ['chart' => $this->monthlyAggregate($userIds, $startDate, $endDate, ['$sum' => 1], 0, $callType)]; |
| 338 | } |
| 339 | |
| 340 | private function chartPracticeTime(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 341 | { |
| 342 | $raw = $this->monthlyAggregate($userIds, $startDate, $endDate, ['$sum' => '$duration'], 2, $callType); |
| 343 | // Convert seconds to hours |
| 344 | foreach ($raw as &$point) { |
| 345 | $point['value'] = round($point['value'] / 3600, 2); |
| 346 | } |
| 347 | |
| 348 | return ['chart' => $raw]; |
| 349 | } |
| 350 | |
| 351 | private function chartActiveUsers(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 352 | { |
| 353 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 354 | |
| 355 | $pipeline = [ |
| 356 | ['$match' => $baseMatch], |
| 357 | ['$group' => [ |
| 358 | '_id' => ['$dateToString' => ['format' => '%Y-%m', 'date' => '$created_at']], |
| 359 | 'users' => ['$addToSet' => '$user_id'], |
| 360 | ]], |
| 361 | ['$project' => ['_id' => 0, 'month_year' => '$_id', 'total' => ['$size' => '$users']]], |
| 362 | ['$sort' => ['month_year' => 1]], |
| 363 | ]; |
| 364 | |
| 365 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 366 | $dbData = []; |
| 367 | foreach ($results as $row) { |
| 368 | $dbData[$row['month_year']] = $row['total']; |
| 369 | } |
| 370 | |
| 371 | return ['chart' => $this->fillMonthlyGaps($dbData, $startDate, $endDate)]; |
| 372 | } |
| 373 | |
| 374 | private function chartAverageScore(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 375 | { |
| 376 | return ['chart' => $this->monthlyAggregate($userIds, $startDate, $endDate, ['$avg' => '$score'], 1, $callType)]; |
| 377 | } |
| 378 | |
| 379 | private function chartScoreByCallType(array $userIds, Carbon $startDate, Carbon $endDate): array |
| 380 | { |
| 381 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done'); |
| 382 | |
| 383 | $pipeline = [ |
| 384 | ['$match' => $baseMatch], |
| 385 | ['$lookup' => [ |
| 386 | 'from' => 'role_play_projects', |
| 387 | 'localField' => 'project_id', |
| 388 | 'foreignField' => '_id', |
| 389 | 'as' => 'project', |
| 390 | ]], |
| 391 | ['$unwind' => ['path' => '$project', 'preserveNullAndEmptyArrays' => false]], |
| 392 | ['$group' => [ |
| 393 | '_id' => [ |
| 394 | 'month' => ['$dateToString' => ['format' => '%Y-%m', 'date' => '$created_at']], |
| 395 | 'type' => '$project.type', |
| 396 | ], |
| 397 | 'avgScore' => ['$avg' => '$score'], |
| 398 | ]], |
| 399 | ['$sort' => ['_id.month' => 1]], |
| 400 | ]; |
| 401 | |
| 402 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 403 | |
| 404 | $dataByMonth = []; |
| 405 | foreach ($results as $row) { |
| 406 | $month = $row['_id']['month']; |
| 407 | $type = str_replace('-', '_', $row['_id']['type'] ?? 'unknown'); |
| 408 | $dataByMonth[$month][$type] = round($row['avgScore'], 1); |
| 409 | } |
| 410 | |
| 411 | $chart = []; |
| 412 | $period = new \DatePeriod($startDate->copy()->startOfMonth(), new \DateInterval('P1M'), $endDate->copy()->endOfMonth()); |
| 413 | foreach ($period as $date) { |
| 414 | $monthKey = $date->format('Y-m'); |
| 415 | $point = ['period' => $date->format('M Y')]; |
| 416 | $point['cold_call'] = $dataByMonth[$monthKey]['cold_call'] ?? 0; |
| 417 | $point['discovery_call'] = $dataByMonth[$monthKey]['discovery_call'] ?? 0; |
| 418 | $chart[] = $point; |
| 419 | } |
| 420 | |
| 421 | return ['chart' => $chart, 'series' => ['cold_call', 'discovery_call']]; |
| 422 | } |
| 423 | |
| 424 | private function chartScoreBySection(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 425 | { |
| 426 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 427 | $baseMatch['feedback.sections'] = ['$exists' => true, '$ne' => null]; |
| 428 | |
| 429 | $pipeline = [ |
| 430 | ['$match' => $baseMatch], |
| 431 | ['$unwind' => '$feedback.sections'], |
| 432 | ['$unwind' => '$feedback.sections.criteria'], |
| 433 | ['$group' => [ |
| 434 | '_id' => '$feedback.sections.section', |
| 435 | 'avgScore' => ['$avg' => '$feedback.sections.criteria.score'], |
| 436 | 'count' => ['$sum' => 1], |
| 437 | ]], |
| 438 | ['$sort' => ['_id' => 1]], |
| 439 | ]; |
| 440 | |
| 441 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 442 | |
| 443 | $sections = []; |
| 444 | foreach ($results as $row) { |
| 445 | if (! empty($row['_id'])) { |
| 446 | $sections[] = ['name' => $row['_id'], 'score' => round($row['avgScore'], 1)]; |
| 447 | } |
| 448 | } |
| 449 | |
| 450 | return ['sections' => $sections]; |
| 451 | } |
| 452 | |
| 453 | private function chartScoreDistribution(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 454 | { |
| 455 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 456 | $baseMatch['score'] = ['$exists' => true, '$ne' => null]; |
| 457 | |
| 458 | $pipeline = [ |
| 459 | ['$match' => $baseMatch], |
| 460 | ['$bucket' => [ |
| 461 | 'groupBy' => '$score', |
| 462 | 'boundaries' => [0, 20, 40, 60, 80, 101], |
| 463 | 'default' => 'other', |
| 464 | 'output' => ['count' => ['$sum' => 1]], |
| 465 | ]], |
| 466 | ]; |
| 467 | |
| 468 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 469 | |
| 470 | $rangeLabels = [0 => '0-19', 20 => '20-39', 40 => '40-59', 60 => '60-79', 80 => '80-100']; |
| 471 | $buckets = []; |
| 472 | foreach ($rangeLabels as $boundary => $label) { |
| 473 | $buckets[$label] = 0; |
| 474 | } |
| 475 | |
| 476 | foreach ($results as $row) { |
| 477 | $id = $row['_id']; |
| 478 | if (isset($rangeLabels[$id])) { |
| 479 | $buckets[$rangeLabels[$id]] = $row['count']; |
| 480 | } |
| 481 | } |
| 482 | |
| 483 | $result = []; |
| 484 | foreach ($buckets as $range => $count) { |
| 485 | $result[] = ['range' => $range, 'count' => $count]; |
| 486 | } |
| 487 | |
| 488 | return ['buckets' => $result]; |
| 489 | } |
| 490 | |
| 491 | private function chartCompletionRate(array $userIds, Carbon $startDate, Carbon $endDate, ?string $callType): array |
| 492 | { |
| 493 | $allMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, null, $callType); |
| 494 | |
| 495 | $pipeline = [ |
| 496 | ['$match' => $allMatch], |
| 497 | ['$group' => [ |
| 498 | '_id' => ['$dateToString' => ['format' => '%Y-%m', 'date' => '$created_at']], |
| 499 | 'total' => ['$sum' => 1], |
| 500 | 'done' => ['$sum' => ['$cond' => [['$eq' => ['$status', 'done']], 1, 0]]], |
| 501 | ]], |
| 502 | ['$project' => [ |
| 503 | '_id' => 0, |
| 504 | 'month_year' => '$_id', |
| 505 | 'total' => ['$cond' => [['$gt' => ['$total', 0]], ['$round' => [['$multiply' => [['$divide' => ['$done', '$total']], 100]], 1]], 0]], |
| 506 | ]], |
| 507 | ['$sort' => ['month_year' => 1]], |
| 508 | ]; |
| 509 | |
| 510 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 511 | $dbData = []; |
| 512 | foreach ($results as $row) { |
| 513 | $dbData[$row['month_year']] = $row['total']; |
| 514 | } |
| 515 | |
| 516 | return ['chart' => $this->fillMonthlyGaps($dbData, $startDate, $endDate)]; |
| 517 | } |
| 518 | |
| 519 | // ─── Helpers ───────────────────────────────────────────────────────── |
| 520 | |
| 521 | /** |
| 522 | * Build a MongoDB $match query for role_play_conversations. |
| 523 | */ |
| 524 | private function buildConversationMatch(array $userIds, Carbon $startDate, Carbon $endDate, ?string $status = 'done', ?string $callType = null): array |
| 525 | { |
| 526 | $match = [ |
| 527 | 'user_id' => ['$in' => $userIds], |
| 528 | 'created_at' => [ |
| 529 | '$gte' => new UTCDateTime($startDate), |
| 530 | '$lte' => new UTCDateTime($endDate), |
| 531 | ], |
| 532 | ]; |
| 533 | |
| 534 | if ($status) { |
| 535 | $match['status'] = $status; |
| 536 | } |
| 537 | |
| 538 | if ($callType) { |
| 539 | // Call type is on the project, so we need to resolve project IDs first |
| 540 | $projectIds = RolePlayProjects::where('type', $callType) |
| 541 | ->whereIn('user_id', $userIds) |
| 542 | ->pluck('_id') |
| 543 | ->all(); |
| 544 | $match['project_id'] = ['$in' => array_map('strval', $projectIds)]; |
| 545 | } |
| 546 | |
| 547 | return $match; |
| 548 | } |
| 549 | |
| 550 | /** |
| 551 | * Run a standard monthly aggregation on role_play_conversations. |
| 552 | */ |
| 553 | private function monthlyAggregate(array $userIds, Carbon $startDate, Carbon $endDate, array $groupOp, int $round = 0, ?string $callType = null): array |
| 554 | { |
| 555 | $baseMatch = $this->buildConversationMatch($userIds, $startDate, $endDate, 'done', $callType); |
| 556 | |
| 557 | $pipeline = [ |
| 558 | ['$match' => $baseMatch], |
| 559 | ['$group' => [ |
| 560 | '_id' => ['$dateToString' => ['format' => '%Y-%m', 'date' => '$created_at']], |
| 561 | 'totalValue' => $groupOp, |
| 562 | ]], |
| 563 | ['$sort' => ['_id' => 1]], |
| 564 | ['$project' => ['_id' => 0, 'month_year' => '$_id', 'total' => ['$round' => ['$totalValue', $round]]]], |
| 565 | ]; |
| 566 | |
| 567 | $results = collect(RolePlayConversations::raw(fn ($c) => $c->aggregate($pipeline))); |
| 568 | $dbData = []; |
| 569 | foreach ($results as $row) { |
| 570 | $dbData[$row['month_year']] = $row['total']; |
| 571 | } |
| 572 | |
| 573 | return $this->fillMonthlyGaps($dbData, $startDate, $endDate); |
| 574 | } |
| 575 | |
| 576 | /** |
| 577 | * Fill in gaps in monthly data so every month has a data point. |
| 578 | */ |
| 579 | private function fillMonthlyGaps(array $dbData, Carbon $startDate, Carbon $endDate): array |
| 580 | { |
| 581 | $chart = []; |
| 582 | $period = new \DatePeriod($startDate->copy()->startOfMonth(), new \DateInterval('P1M'), $endDate->copy()->endOfMonth()); |
| 583 | foreach ($period as $date) { |
| 584 | $monthKey = $date->format('Y-m'); |
| 585 | $chart[] = ['period' => $date->format('M Y'), 'value' => $dbData[$monthKey] ?? 0]; |
| 586 | } |
| 587 | |
| 588 | return $chart; |
| 589 | } |
| 590 | |
| 591 | /** |
| 592 | * Return an empty chart response with the correct monthly period structure. |
| 593 | */ |
| 594 | private function emptyChartResponse(string $type, Carbon $startDate, Carbon $endDate): array |
| 595 | { |
| 596 | if (in_array($type, ['score_by_section'])) { |
| 597 | return ['sections' => []]; |
| 598 | } |
| 599 | if (in_array($type, ['score_distribution'])) { |
| 600 | return ['buckets' => [ |
| 601 | ['range' => '0-19', 'count' => 0], |
| 602 | ['range' => '20-39', 'count' => 0], |
| 603 | ['range' => '40-59', 'count' => 0], |
| 604 | ['range' => '60-79', 'count' => 0], |
| 605 | ['range' => '80-100', 'count' => 0], |
| 606 | ]]; |
| 607 | } |
| 608 | if ($type === 'score_by_call_type') { |
| 609 | return ['chart' => $this->fillMonthlyGaps([], $startDate, $endDate), 'series' => ['cold_call', 'discovery_call']]; |
| 610 | } |
| 611 | |
| 612 | return ['chart' => $this->fillMonthlyGaps([], $startDate, $endDate)]; |
| 613 | } |
| 614 | } |