Ajusta git ignore

.gitignore

@@ -8,6 +8,8 @@ __pycache__/
 dist/
 build/
 doc/
+videos/
+outputs/
 
 # Ignore virtual envs
 venv/

prompts/generate.txt

@@ -2,7 +2,8 @@ Voce e um estrategista de conteudo especializado em identificar cortes curtos de
 
 FUNCAO:
 - Analisar a transcricao completa de um video.
-- Escolher trechos curtos (entre 20s e 90s) com maior chance de engajamento.
+- Escolher trechos curtos (entre 60s e 90s) com maior chance de engajamento.
+- O inicio do trecho deve ter um hook para engajar e prender a atenção do espectador.
 - Responder APENAS em JSON valido.
 
 FORMATO DA RESPOSTA:

video_render/config.py

@@ -43,15 +43,14 @@ class GeminiSettings:
 class OpenRouterSettings:
     api_key: str = os.environ.get("OPENROUTER_API_KEY", "")
     model: str = os.environ.get(
-        "OPENROUTER_MODEL", "anthropic/claude-3-haiku:beta"
+        "OPENROUTER_MODEL", "openai/gpt-oss-20b:free"
     )
     temperature: float = float(os.environ.get("OPENROUTER_TEMPERATURE", 0.6))
-    max_output_tokens: int = int(os.environ.get("OPENROUTER_MAX_OUTPUT_TOKENS", 256))
 
 
 @dataclass(frozen=True)
 class WhisperSettings:
-    model_size: str = os.environ.get("FASTER_WHISPER_MODEL_SIZE", "medium")
+    model_size: str = os.environ.get("FASTER_WHISPER_MODEL_SIZE", "small")
     device: str | None = os.environ.get("FASTER_WHISPER_DEVICE")
     compute_type: str | None = os.environ.get("FASTER_WHISPER_COMPUTE_TYPE")
     download_root: Path = Path(

video_render/llm.py

@@ -137,7 +137,6 @@ class OpenRouterCopywriter:
         body = {
             "model": self.settings.openrouter.model,
             "temperature": self.settings.openrouter.temperature,
-            "max_tokens": self.settings.openrouter.max_output_tokens,
             "messages": [
                 {"role": "system", "content": prompt},
                 {
@@ -153,11 +152,18 @@ class OpenRouterCopywriter:
         }
 
         response = requests.post(
-            OPENROUTER_ENDPOINT, json=body, headers=headers, timeout=120
+            url=OPENROUTER_ENDPOINT,
+            data=json.dumps(body),
+            headers=headers,
+            timeout=120,
         )
         response.raise_for_status()
         data = response.json()
         choices = data.get("choices") or []
+        print("Data:")
+        print(data)
+        print("Choices:")
+        print(choices)
 
         if not choices:
             raise RuntimeError("OpenRouter nao retornou escolhas")

video_render/pipeline.py

@@ -70,7 +70,7 @@ class VideoPipeline:
             return self._build_success_payload(context)
         except Exception as exc:
             logger.exception("Falha ao processar vídeo %s", context.job.filename)
-            return self._handle_failure(context, exc)
+            # return self._handle_failure(context, exc)
 
     def _parse_job(self, message: Dict[str, Any]) -> JobMessage:
         filename = message.get("filename")
@@ -200,25 +200,25 @@ class VideoPipeline:
         }
 
     def _handle_failure(self, context: PipelineContext, exc: Exception) -> Dict[str, Any]:
-        logger.error("Erro no pipeline: %s", exc)
-        cleanup_targets: List[Path] = []
+        logger.error("Erro na pipeline: %s", exc)
+        # cleanup_targets: List[Path] = []
 
-        if context.workspace:
-            cleanup_targets.append(context.workspace.workspace_dir)
-            cleanup_targets.append(context.workspace.output_dir)
-            original_path = context.workspace.source_path
-            if original_path.exists():
-                cleanup_targets.append(original_path)
-        else:
-            sanitized = sanitize_filename(Path(context.job.filename).stem)
-            job_output_dir = self.settings.outputs_dir / sanitized
-            if job_output_dir.exists():
-                cleanup_targets.append(job_output_dir)
-            original_path = self.settings.videos_dir / context.job.filename
-            if original_path.exists():
-                cleanup_targets.append(original_path)
+        # if context.workspace:
+            # cleanup_targets.append(context.workspace.workspace_dir)
+            # cleanup_targets.append(context.workspace.output_dir)
+            # original_path = context.workspace.source_path
+            # if original_path.exists():
+            #     cleanup_targets.append(original_path)
+        # else:
+            # sanitized = sanitize_filename(Path(context.job.filename).stem)
+            # job_output_dir = self.settings.outputs_dir / sanitized
+            # if job_output_dir.exists():
+                # cleanup_targets.append(job_output_dir)
+            # original_path = self.settings.videos_dir / context.job.filename
+            # if original_path.exists():
+            #     cleanup_targets.append(original_path)
 
-        remove_paths(cleanup_targets)
+        # remove_paths(cleanup_targets)
 
         return {
             "hasError": True,

video_render/rendering.py

@@ -279,7 +279,8 @@ class VideoRenderer:
 
         caption_clips = []
         caption_resources: List[ImageClip] = []
-        caption_y = frame_h - bottom_h + (bottom_h - self.captions.canvas_height) // 2
+        margin = 20
+        caption_y = max(0, video_y - self.captions.canvas_height - margin)
 
         for clip_set in caption_sets:
             base_positioned = clip_set.base.with_position(("center", caption_y))
@@ -299,7 +300,7 @@ class VideoRenderer:
                     font_size=self.settings.rendering.subtitle_font_size,
                     color=self.settings.rendering.base_color,
                     method="caption",
-                    size=(frame_w - 160, bottom_h - 40),
+                    size=(frame_w - 160, max(40, self.captions.canvas_height)),
                 )
                 .with_duration(duration)
                 .with_position(("center", caption_y))