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| 1 | <?php |
| 2 | |
| 3 | namespace App\Http\Services; |
| 4 | |
| 5 | use App\Events\TrackFlyMsgAIUsageEvent; |
| 6 | use App\Http\Models\AIPrompts; |
| 7 | use App\Http\Models\PromptTone; |
| 8 | use App\Http\Models\UserPersona; |
| 9 | use Illuminate\Support\Facades\Log; |
| 10 | |
| 11 | /** |
| 12 | * Service layer for UserPersona CRUD and AI-emulation generation. |
| 13 | * |
| 14 | * AI emulation routes every call through {@see NodeJsAIBridgeService} using |
| 15 | * config sourced from an `ai_prompts` record (product='fly_persona', |
| 16 | * name='person'|'company'). This is what lets CMC-FE operators tune model, |
| 17 | * tokens, temperature, top_p, and grounding without redeploying — and lets |
| 18 | * `ai_request_logs` audit what actually reached Gemini. See |
| 19 | * `flymsg-be/CLAUDE.md` → "AI Call Configuration Rule". |
| 20 | */ |
| 21 | class UserPersonaService |
| 22 | { |
| 23 | /** |
| 24 | * Fallbacks used only when a field is missing on the ai_prompts record. |
| 25 | * The record's own value always wins when present. |
| 26 | */ |
| 27 | private const CONFIG_FALLBACKS = [ |
| 28 | 'model' => 'gemini-3.1-flash-lite-preview', |
| 29 | 'provider' => 'vertex', |
| 30 | 'max_tokens' => 2000, |
| 31 | 'temperature' => 1.0, |
| 32 | 'top_p' => 0.95, |
| 33 | 'thinking_budget' => 0, |
| 34 | ]; |
| 35 | |
| 36 | public function __construct( |
| 37 | private readonly NodeJsAIBridgeService $bridge, |
| 38 | ) {} |
| 39 | |
| 40 | /** |
| 41 | * @return mixed |
| 42 | */ |
| 43 | public function getAll( |
| 44 | int $itemsPerPage, |
| 45 | int $currentPage, |
| 46 | string $filter, |
| 47 | bool $disabled |
| 48 | ) { |
| 49 | $query = UserPersona::query(); |
| 50 | |
| 51 | if (! empty($filter)) { |
| 52 | $query = $query->where('title', 'like', '%'.$filter.'%'); |
| 53 | } |
| 54 | |
| 55 | if (! $disabled) { |
| 56 | $query = $query->where('disabled', false)->orWhereNull('disabled'); |
| 57 | } |
| 58 | |
| 59 | return $query->get(); |
| 60 | } |
| 61 | |
| 62 | public function create(array $data) |
| 63 | { |
| 64 | $persona = UserPersona::create($data); |
| 65 | |
| 66 | if (! empty($data['is_default'])) { |
| 67 | UserPersona::where('_id', '!=', $persona->id) |
| 68 | ->where('user_id', $persona->user_id) |
| 69 | ->update(['is_default' => false]); |
| 70 | } |
| 71 | |
| 72 | return $persona; |
| 73 | } |
| 74 | |
| 75 | public function setDefault(string $userPersonaId, bool $value) |
| 76 | { |
| 77 | $persona = UserPersona::find($userPersonaId); |
| 78 | |
| 79 | $persona->is_default = $value; |
| 80 | |
| 81 | $persona->save(); |
| 82 | |
| 83 | UserPersona::where('_id', '!=', $userPersonaId) |
| 84 | ->where('user_id', $persona->user_id) |
| 85 | ->update(['is_default' => false]); |
| 86 | |
| 87 | return $persona; |
| 88 | } |
| 89 | |
| 90 | public function update(string $userPersonaId, array $data) |
| 91 | { |
| 92 | $persona = UserPersona::find($userPersonaId); |
| 93 | |
| 94 | $persona->fill($data); |
| 95 | |
| 96 | $persona->save(); |
| 97 | |
| 98 | if (! empty($data['is_default'])) { |
| 99 | UserPersona::where('_id', '!=', $userPersonaId) |
| 100 | ->where('user_id', $persona->user_id) |
| 101 | ->update(['is_default' => false]); |
| 102 | } |
| 103 | |
| 104 | return $persona; |
| 105 | } |
| 106 | |
| 107 | public function delete(UserPersona $userPersona) |
| 108 | { |
| 109 | return $userPersona->delete(); |
| 110 | } |
| 111 | |
| 112 | public function generateUserPersonaAIEmulation(array $data, $user, $regenerateCount) |
| 113 | { |
| 114 | $data['tone_of_voice'] = PromptTone::find($data['prompt_tone_id'])->prompt; |
| 115 | |
| 116 | $promptRecord = $this->loadPromptRecord($data['type']); |
| 117 | |
| 118 | $prompt = $this->buildPrompt($promptRecord, $data); |
| 119 | |
| 120 | // Persona output is an English-formatted AI-emulation guide consumed |
| 121 | // downstream by other prompts as a <persona> tag — not rendered to |
| 122 | // the user. Keep it in English regardless of the user's input |
| 123 | // language; no translation round-trip needed. |
| 124 | $result = $this->callAi($prompt, $promptRecord, $user); |
| 125 | |
| 126 | Log::info("Generate Persona Prompt for user Id: {$data['user_id']}", [ |
| 127 | 'input' => $data, |
| 128 | 'prompt' => $prompt, |
| 129 | 'result' => $result, |
| 130 | ]); |
| 131 | |
| 132 | if ($regenerateCount > 0) { |
| 133 | TrackFlyMsgAIUsageEvent::dispatch( |
| 134 | $user, |
| 135 | $result, |
| 136 | 'persona', |
| 137 | 'ai_emulation', |
| 138 | $prompt, |
| 139 | 'persona', |
| 140 | 'ai_emulation', |
| 141 | [ |
| 142 | 'response' => $result, |
| 143 | 'prompt' => $prompt, |
| 144 | ], |
| 145 | $data |
| 146 | ); |
| 147 | } |
| 148 | |
| 149 | return $result; |
| 150 | } |
| 151 | |
| 152 | /** |
| 153 | * Load the fly_persona ai_prompts record for the given persona type |
| 154 | * ('person' or 'company'). Throws when the seeder hasn't run or the |
| 155 | * record was deactivated in CMC-FE. |
| 156 | */ |
| 157 | private function loadPromptRecord(string $type): AIPrompts |
| 158 | { |
| 159 | $record = AIPrompts::where('product', 'fly_persona') |
| 160 | ->where('name', $type) |
| 161 | ->where('status', 'active') |
| 162 | ->first(); |
| 163 | |
| 164 | if (! $record) { |
| 165 | throw new \RuntimeException("AI prompt 'fly_persona/{$type}' is not configured."); |
| 166 | } |
| 167 | |
| 168 | return $record; |
| 169 | } |
| 170 | |
| 171 | /** |
| 172 | * Assemble the multi-step persona prompt from the ai_prompts record. |
| 173 | * Step 1 and Step 2 include an instructions block per entry only when |
| 174 | * the user supplied at least one of the referenced fields; steps with |
| 175 | * no supplied fields are dropped entirely (legacy behavior). |
| 176 | */ |
| 177 | private function buildPrompt(AIPrompts $promptRecord, array $data): string |
| 178 | { |
| 179 | $placeholders = is_array($promptRecord->placeholders) ? $promptRecord->placeholders : []; |
| 180 | |
| 181 | $step1 = $this->assembleConditionalStep( |
| 182 | (string) ($placeholders['step_1_instruction'] ?? ''), |
| 183 | (array) ($placeholders['step_1_steps'] ?? []), |
| 184 | $data, |
| 185 | ); |
| 186 | |
| 187 | $step2 = $this->assembleConditionalStep( |
| 188 | (string) ($placeholders['step_2_instruction'] ?? ''), |
| 189 | (array) ($placeholders['step_2_steps'] ?? []), |
| 190 | $data, |
| 191 | ); |
| 192 | |
| 193 | $step3 = (string) ($placeholders['step_3_instruction'] ?? ''); |
| 194 | foreach ((array) ($placeholders['step_3_steps'] ?? []) as $step) { |
| 195 | $step3 .= "\n{$step}"; |
| 196 | } |
| 197 | |
| 198 | $step4 = (string) ($placeholders['step_4_instruction'] ?? ''); |
| 199 | foreach ((array) ($placeholders['step_4_steps'] ?? []) as $step) { |
| 200 | $step4 .= "\n\nInput:\n".(string) ($step['input'] ?? ''); |
| 201 | $step4 .= "\n\nOutput:\n".(string) ($step['output'] ?? ''); |
| 202 | } |
| 203 | |
| 204 | $persona = (string) ($promptRecord->persona ?? ''); |
| 205 | $outputInstructions = (string) ($promptRecord->output_instructions ?? ''); |
| 206 | |
| 207 | // Filter empty sections so conditional steps (step_1 / step_2) that |
| 208 | // produce '' don't leave runs of four consecutive newlines in the |
| 209 | // rendered prompt — wasteful in tokens, noisier in logs. |
| 210 | return implode("\n\n", array_filter( |
| 211 | [$persona, $step1, $step2, $step3, $step4, $outputInstructions], |
| 212 | static fn (string $section): bool => $section !== '', |
| 213 | )); |
| 214 | } |
| 215 | |
| 216 | /** |
| 217 | * Render step_1 / step_2: include each entry's instructions line plus |
| 218 | * whichever user fields it references, but skip entries whose fields |
| 219 | * are all empty. If no entry contributes any field, the whole step is |
| 220 | * dropped. |
| 221 | * |
| 222 | * @param array<int, array{instructions?: string, fields?: array<int, string>}> $steps |
| 223 | */ |
| 224 | private function assembleConditionalStep(string $instruction, array $steps, array $data): string |
| 225 | { |
| 226 | $out = $instruction; |
| 227 | $hasAny = false; |
| 228 | |
| 229 | foreach ($steps as $step) { |
| 230 | $line = "\n".(string) ($step['instructions'] ?? ''); |
| 231 | $hasFields = false; |
| 232 | |
| 233 | foreach ((array) ($step['fields'] ?? []) as $field) { |
| 234 | $value = $data[$field] ?? null; |
| 235 | if (is_array($value)) { |
| 236 | $value = implode(', ', $value); |
| 237 | } |
| 238 | |
| 239 | if (! empty($value)) { |
| 240 | $hasFields = true; |
| 241 | $line .= " {$value}"; |
| 242 | } |
| 243 | } |
| 244 | |
| 245 | if ($hasFields) { |
| 246 | $hasAny = true; |
| 247 | $out .= $line; |
| 248 | } |
| 249 | } |
| 250 | |
| 251 | return $hasAny ? $out : ''; |
| 252 | } |
| 253 | |
| 254 | /** |
| 255 | * Forward the assembled prompt to the Node.js AI bridge, using model / |
| 256 | * tokens / temperature / top_p / is_grounding straight off the |
| 257 | * ai_prompts record. Metadata includes `prompt_id` so ai_request_logs |
| 258 | * can be audited against the source prompt. |
| 259 | */ |
| 260 | private function callAi(string $prompt, AIPrompts $promptRecord, $user): string |
| 261 | { |
| 262 | $config = $this->resolveConfig($promptRecord); |
| 263 | |
| 264 | return $this->bridge->generate( |
| 265 | [ |
| 266 | 'provider' => self::CONFIG_FALLBACKS['provider'], |
| 267 | 'model' => $config['model'], |
| 268 | 'prompt' => $prompt, |
| 269 | 'config' => [ |
| 270 | 'maxOutputTokens' => $config['maxOutputTokens'], |
| 271 | 'temperature' => $config['temperature'], |
| 272 | 'topP' => $config['topP'], |
| 273 | 'thinkingBudget' => $config['thinkingBudget'], |
| 274 | 'enableGoogleSearch' => $config['enableGoogleSearch'], |
| 275 | ], |
| 276 | ], |
| 277 | [ |
| 278 | 'feature' => 'persona_ai_emulation', |
| 279 | 'user_id' => $user?->id, |
| 280 | 'company_id' => $user?->company_id ?? null, |
| 281 | 'prompt_id' => (string) $promptRecord->_id, |
| 282 | ] |
| 283 | ); |
| 284 | } |
| 285 | |
| 286 | /** |
| 287 | * Read the model/temperature/topP/tokens/grounding config from an |
| 288 | * ai_prompts record, applying conservative fallbacks only when a field |
| 289 | * is missing. Kept in one place so if an operator tunes the prompt in |
| 290 | * the DB, the tuning reaches the bridge. |
| 291 | * |
| 292 | * @return array{model: string, maxOutputTokens: int, temperature: float, topP: float, thinkingBudget: int, enableGoogleSearch: bool} |
| 293 | */ |
| 294 | private function resolveConfig(AIPrompts $promptRecord): array |
| 295 | { |
| 296 | $model = $promptRecord->model !== null && $promptRecord->model !== '' |
| 297 | ? str_replace(':streamGenerateContent', '', (string) $promptRecord->model) |
| 298 | : self::CONFIG_FALLBACKS['model']; |
| 299 | |
| 300 | return [ |
| 301 | 'model' => $model, |
| 302 | 'maxOutputTokens' => $promptRecord->tokens !== null |
| 303 | ? (int) $promptRecord->tokens |
| 304 | : self::CONFIG_FALLBACKS['max_tokens'], |
| 305 | 'temperature' => $promptRecord->temperature !== null |
| 306 | ? (float) $promptRecord->temperature |
| 307 | : self::CONFIG_FALLBACKS['temperature'], |
| 308 | 'topP' => $promptRecord->top_p !== null |
| 309 | ? (float) $promptRecord->top_p |
| 310 | : self::CONFIG_FALLBACKS['top_p'], |
| 311 | 'thinkingBudget' => self::CONFIG_FALLBACKS['thinking_budget'], |
| 312 | 'enableGoogleSearch' => (bool) ($promptRecord->is_grounding ?? false), |
| 313 | ]; |
| 314 | } |
| 315 | } |