Add script/TTS step handlers, dashboard, and pipeline UI (#35, #36, #43, #44)

StepHandler abstraction (app/Support/VideoWorkflow/StepHandlers/) plugs
into WorkflowEngine without coupling it to how any given step type is
actually executed:
- ScriptGenerationHandler: builds a prompt from the project's title/
  description (or an explicit outline/tone/keywords/target length in
  step input), generates via an active OpenAI AiProvider, stores the
  result as a 'script' asset.
- TtsVoiceoverHandler: voices step.input.text, or falls back to the
  project's latest script asset, via an active ElevenLabs AiProvider;
  voice_id/model_id are configurable per step. No direct "speed"
  control — ElevenLabs' base TTS endpoint doesn't expose one.

RunWorkflowStepJob resolves a step's handler by type and runs it on
the queue, matching the existing PublishPostJob pattern (including a
stale-dispatch guard: no-op if the step isn't 'in_progress' anymore).

UI, under its own /video-projects routes and nav entry — separate
from /projects per the earlier decision:
- VideoProjects/Index (#43): list projects with status and step
  progress, create new ones.
- VideoProjects/Show (#44): start a project from a WorkflowTemplate or
  a hardcoded default 8-step pipeline; per-step Run/Approve/Reject/
  Retry/Skip actions; auto-queues the next step after any transition
  when a handler exists for its type (steps with no handler yet just
  sit in_progress rather than auto-failing); lists project assets.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
m105
2026-08-06 20:56:01 +03:00
co-authored by Claude Sonnet 5
parent 0e315ada04
commit 55fa2ebfda
17 changed files with 1105 additions and 0 deletions
@@ -0,0 +1,87 @@
<?php
namespace App\Support\VideoWorkflow\StepHandlers;
use App\Models\AiProvider;
use App\Models\WorkflowStep;
use App\Support\AiProviders\AiGenerationException;
use App\Support\AiProviders\AiProviderManager;
use App\Support\AssetStorage\AssetStorage;
use App\Support\VideoWorkflow\WorkflowEngine;
/**
* Turns a project's title/description (or an explicit outline) into a full
* script via an OpenAI-backed AiProvider, with optional tone/SEO-keyword/
* length guidance from the step's input.
*/
class ScriptGenerationHandler implements StepHandler
{
public function __construct(
private readonly AiProviderManager $aiProviders,
private readonly AssetStorage $assets,
) {}
public function type(): string
{
return 'script_generation';
}
public function handle(WorkflowStep $step, WorkflowEngine $engine): void
{
$provider = AiProvider::query()->where('provider', 'openai')->where('is_active', true)->first();
if (! $provider) {
$engine->failStep($step, 'No active OpenAI provider configured.');
return;
}
try {
$result = $this->aiProviders->generate($provider, $this->buildPrompt($step));
} catch (AiGenerationException $e) {
$engine->failStep($step, $e->getMessage());
return;
}
$asset = $this->assets->store(
$step->videoProject,
'script',
$result->content,
'txt',
step: $step,
mimeType: 'text/plain',
);
$engine->completeStep($step, [
'asset_id' => $asset->id,
'word_count' => str_word_count($result->content),
]);
}
private function buildPrompt(WorkflowStep $step): string
{
$input = $step->input ?? [];
$project = $step->videoProject;
$outline = $input['outline'] ?? trim(($project->title ?? '')."\n\n".($project->description ?? ''));
$prompt = "Write a complete, engaging YouTube video script.\n\nTopic/Outline:\n{$outline}";
if (! empty($input['tone'])) {
$prompt .= "\n\nTone: {$input['tone']}";
}
if (! empty($input['seo_keywords'])) {
$prompt .= "\n\nNaturally include these SEO keywords where relevant: ".implode(', ', $input['seo_keywords']);
}
if (! empty($input['target_words'])) {
$prompt .= "\n\nTarget length: approximately {$input['target_words']} words.";
}
$prompt .= "\n\nWrite only the script content, no preamble or explanation.";
return $prompt;
}
}