| 1 | # Copyright (C) 2025 AIDC-AI |
| 2 | # |
| 3 | # Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | # you may not use this file except in compliance with the License. |
| 5 | # You may obtain a copy of the License at |
| 6 | # http://www.apache.org/licenses/LICENSE-2.0 |
| 7 | # Unless required by applicable law or agreed to in writing, software |
| 8 | # distributed under the License is distributed on an "AS IS" BASIS, |
| 9 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 10 | # See the License for the specific language governing permissions and |
| 11 | # limitations under the License. |
| 12 | |
| 13 | """ |
| 14 | Persistence Service |
| 15 | |
| 16 | Handles task metadata and storyboard persistence to filesystem. |
| 17 | """ |
| 18 | |
| 19 | import json |
| 20 | from pathlib import Path |
| 21 | from typing import List, Optional, Dict, Any |
| 22 | from datetime import datetime |
| 23 | from loguru import logger |
| 24 | |
| 25 | from pixelle_video.models.storyboard import Storyboard, StoryboardFrame, StoryboardConfig, ContentMetadata |
| 26 | |
| 27 | |
| 28 | class PersistenceService: |
| 29 | """ |
| 30 | Task persistence service using filesystem (JSON) |
| 31 | |
| 32 | File structure: |
| 33 | output/ |
| 34 | └── {task_id}/ |
| 35 | ├── metadata.json # Task metadata (input, result, config) |
| 36 | ├── storyboard.json # Storyboard data (frames, prompts) |
| 37 | ├── final.mp4 |
| 38 | └── frames/ |
| 39 | ├── 01_audio.mp3 |
| 40 | ├── 01_image.png |
| 41 | └── ... |
| 42 | |
| 43 | Usage: |
| 44 | persistence = PersistenceService() |
| 45 | |
| 46 | # Save metadata |
| 47 | await persistence.save_task_metadata(task_id, metadata) |
| 48 | |
| 49 | # Save storyboard |
| 50 | await persistence.save_storyboard(task_id, storyboard) |
| 51 | |
| 52 | # Load task |
| 53 | metadata = await persistence.load_task_metadata(task_id) |
| 54 | storyboard = await persistence.load_storyboard(task_id) |
| 55 | |
| 56 | # List all tasks |
| 57 | tasks = await persistence.list_tasks(status="completed", limit=50) |
| 58 | """ |
| 59 | |
| 60 | def __init__(self, output_dir: str = "output"): |
| 61 | """ |
| 62 | Initialize persistence service |
| 63 | |
| 64 | Args: |
| 65 | output_dir: Base output directory (default: "output") |
| 66 | """ |
| 67 | self.output_dir = Path(output_dir) |
| 68 | self.output_dir.mkdir(exist_ok=True) |
| 69 | |
| 70 | # Index file for fast listing |
| 71 | self.index_file = self.output_dir / ".index.json" |
| 72 | self._ensure_index() |
| 73 | |
| 74 | def get_task_dir(self, task_id: str) -> Path: |
| 75 | """Get task directory path""" |
| 76 | return self.output_dir / task_id |
| 77 | |
| 78 | def get_metadata_path(self, task_id: str) -> Path: |
| 79 | """Get metadata.json path""" |
| 80 | return self.get_task_dir(task_id) / "metadata.json" |
| 81 | |
| 82 | def get_storyboard_path(self, task_id: str) -> Path: |
| 83 | """Get storyboard.json path""" |
| 84 | return self.get_task_dir(task_id) / "storyboard.json" |
| 85 | |
| 86 | # ======================================================================== |
| 87 | # Metadata Operations |
| 88 | # ======================================================================== |
| 89 | |
| 90 | async def save_task_metadata( |
| 91 | self, |
| 92 | task_id: str, |
| 93 | metadata: Dict[str, Any] |
| 94 | ): |
| 95 | """ |
| 96 | Save task metadata to filesystem |
| 97 | |
| 98 | Args: |
| 99 | task_id: Task ID |
| 100 | metadata: Metadata dict with structure: |
| 101 | { |
| 102 | "task_id": str, |
| 103 | "created_at": str, |
| 104 | "completed_at": str (optional), |
| 105 | "status": str, |
| 106 | "input": dict, |
| 107 | "result": dict (optional), |
| 108 | "config": dict |
| 109 | } |
| 110 | """ |
| 111 | try: |
| 112 | task_dir = self.get_task_dir(task_id) |
| 113 | task_dir.mkdir(parents=True, exist_ok=True) |
| 114 | |
| 115 | metadata_path = self.get_metadata_path(task_id) |
| 116 | |
| 117 | # Ensure task_id is set |
| 118 | metadata["task_id"] = task_id |
| 119 | |
| 120 | # Convert datetime objects to ISO format strings |
| 121 | if "created_at" in metadata and isinstance(metadata["created_at"], datetime): |
| 122 | metadata["created_at"] = metadata["created_at"].isoformat() |
| 123 | if "completed_at" in metadata and isinstance(metadata["completed_at"], datetime): |
| 124 | metadata["completed_at"] = metadata["completed_at"].isoformat() |
| 125 | |
| 126 | with open(metadata_path, "w", encoding="utf-8") as f: |
| 127 | json.dump(metadata, f, indent=2, ensure_ascii=False) |
| 128 | |
| 129 | logger.debug(f"Saved task metadata: {task_id}") |
| 130 | |
| 131 | # Update index |
| 132 | await self._update_index_for_task(task_id, metadata) |
| 133 | |
| 134 | except Exception as e: |
| 135 | logger.error(f"Failed to save task metadata {task_id}: {e}") |
| 136 | raise |
| 137 | |
| 138 | async def load_task_metadata(self, task_id: str) -> Optional[Dict[str, Any]]: |
| 139 | """ |
| 140 | Load task metadata from filesystem |
| 141 | |
| 142 | Args: |
| 143 | task_id: Task ID |
| 144 | |
| 145 | Returns: |
| 146 | Metadata dict or None if not found |
| 147 | """ |
| 148 | try: |
| 149 | metadata_path = self.get_metadata_path(task_id) |
| 150 | |
| 151 | if not metadata_path.exists(): |
| 152 | return None |
| 153 | |
| 154 | with open(metadata_path, "r", encoding="utf-8") as f: |
| 155 | metadata = json.load(f) |
| 156 | |
| 157 | return metadata |
| 158 | |
| 159 | except Exception as e: |
| 160 | logger.error(f"Failed to load task metadata {task_id}: {e}") |
| 161 | return None |
| 162 | |
| 163 | async def update_task_status( |
| 164 | self, |
| 165 | task_id: str, |
| 166 | status: str, |
| 167 | error: Optional[str] = None |
| 168 | ): |
| 169 | """ |
| 170 | Update task status in metadata |
| 171 | |
| 172 | Args: |
| 173 | task_id: Task ID |
| 174 | status: New status (pending, running, completed, failed, cancelled) |
| 175 | error: Error message (optional, for failed status) |
| 176 | """ |
| 177 | try: |
| 178 | metadata = await self.load_task_metadata(task_id) |
| 179 | if not metadata: |
| 180 | logger.warning(f"Cannot update status: task {task_id} not found") |
| 181 | return |
| 182 | |
| 183 | metadata["status"] = status |
| 184 | |
| 185 | if status in ["completed", "failed", "cancelled"]: |
| 186 | metadata["completed_at"] = datetime.now().isoformat() |
| 187 | |
| 188 | if error: |
| 189 | metadata["error"] = error |
| 190 | |
| 191 | await self.save_task_metadata(task_id, metadata) |
| 192 | |
| 193 | except Exception as e: |
| 194 | logger.error(f"Failed to update task status {task_id}: {e}") |
| 195 | |
| 196 | # ======================================================================== |
| 197 | # Storyboard Operations |
| 198 | # ======================================================================== |
| 199 | |
| 200 | async def save_storyboard( |
| 201 | self, |
| 202 | task_id: str, |
| 203 | storyboard: Storyboard |
| 204 | ): |
| 205 | """ |
| 206 | Save storyboard to filesystem |
| 207 | |
| 208 | Args: |
| 209 | task_id: Task ID |
| 210 | storyboard: Storyboard instance |
| 211 | """ |
| 212 | try: |
| 213 | task_dir = self.get_task_dir(task_id) |
| 214 | task_dir.mkdir(parents=True, exist_ok=True) |
| 215 | |
| 216 | storyboard_path = self.get_storyboard_path(task_id) |
| 217 | |
| 218 | # Convert storyboard to dict |
| 219 | storyboard_dict = self._storyboard_to_dict(storyboard) |
| 220 | |
| 221 | with open(storyboard_path, "w", encoding="utf-8") as f: |
| 222 | json.dump(storyboard_dict, f, indent=2, ensure_ascii=False) |
| 223 | |
| 224 | logger.debug(f"Saved storyboard: {task_id}") |
| 225 | |
| 226 | except Exception as e: |
| 227 | logger.error(f"Failed to save storyboard {task_id}: {e}") |
| 228 | raise |
| 229 | |
| 230 | async def load_storyboard(self, task_id: str) -> Optional[Storyboard]: |
| 231 | """ |
| 232 | Load storyboard from filesystem |
| 233 | |
| 234 | Args: |
| 235 | task_id: Task ID |
| 236 | |
| 237 | Returns: |
| 238 | Storyboard instance or None if not found |
| 239 | """ |
| 240 | try: |
| 241 | storyboard_path = self.get_storyboard_path(task_id) |
| 242 | |
| 243 | if not storyboard_path.exists(): |
| 244 | return None |
| 245 | |
| 246 | with open(storyboard_path, "r", encoding="utf-8") as f: |
| 247 | storyboard_dict = json.load(f) |
| 248 | |
| 249 | # Convert dict to storyboard |
| 250 | storyboard = self._dict_to_storyboard(storyboard_dict) |
| 251 | |
| 252 | return storyboard |
| 253 | |
| 254 | except Exception as e: |
| 255 | logger.error(f"Failed to load storyboard {task_id}: {e}") |
| 256 | return None |
| 257 | |
| 258 | # ======================================================================== |
| 259 | # Task Listing & Querying |
| 260 | # ======================================================================== |
| 261 | |
| 262 | async def list_tasks( |
| 263 | self, |
| 264 | status: Optional[str] = None, |
| 265 | limit: int = 50, |
| 266 | offset: int = 0 |
| 267 | ) -> List[Dict[str, Any]]: |
| 268 | """ |
| 269 | List tasks with optional filtering |
| 270 | |
| 271 | Args: |
| 272 | status: Filter by status (pending, running, completed, failed, cancelled) |
| 273 | limit: Maximum number of tasks to return |
| 274 | offset: Number of tasks to skip |
| 275 | |
| 276 | Returns: |
| 277 | List of metadata dicts, sorted by created_at descending |
| 278 | """ |
| 279 | try: |
| 280 | index = self._load_index() |
| 281 | tasks = index.get("tasks", []) |
| 282 | |
| 283 | # Filter by status |
| 284 | if status: |
| 285 | tasks = [t for t in tasks if t.get("status") == status] |
| 286 | |
| 287 | # Sort by created_at descending |
| 288 | tasks.sort(key=lambda t: t.get("created_at", ""), reverse=True) |
| 289 | |
| 290 | # Apply pagination |
| 291 | return tasks[offset:offset + limit] |
| 292 | |
| 293 | except Exception as e: |
| 294 | logger.error(f"Failed to list tasks: {e}") |
| 295 | return [] |
| 296 | |
| 297 | async def task_exists(self, task_id: str) -> bool: |
| 298 | """Check if task exists""" |
| 299 | return self.get_task_dir(task_id).exists() |
| 300 | |
| 301 | # ======================================================================== |
| 302 | # Serialization Helpers |
| 303 | # ======================================================================== |
| 304 | |
| 305 | def _storyboard_to_dict(self, storyboard: Storyboard) -> Dict[str, Any]: |
| 306 | """Convert Storyboard to dict for JSON serialization""" |
| 307 | return { |
| 308 | "title": storyboard.title, |
| 309 | "config": self._config_to_dict(storyboard.config), |
| 310 | "frames": [self._frame_to_dict(frame) for frame in storyboard.frames], |
| 311 | "content_metadata": self._content_metadata_to_dict(storyboard.content_metadata) if storyboard.content_metadata else None, |
| 312 | "final_video_path": storyboard.final_video_path, |
| 313 | "total_duration": storyboard.total_duration, |
| 314 | "created_at": storyboard.created_at.isoformat() if storyboard.created_at else None, |
| 315 | "completed_at": storyboard.completed_at.isoformat() if storyboard.completed_at else None, |
| 316 | } |
| 317 | |
| 318 | def _dict_to_storyboard(self, data: Dict[str, Any]) -> Storyboard: |
| 319 | """Convert dict to Storyboard instance""" |
| 320 | return Storyboard( |
| 321 | title=data["title"], |
| 322 | config=self._dict_to_config(data["config"]), |
| 323 | frames=[self._dict_to_frame(frame_data) for frame_data in data["frames"]], |
| 324 | content_metadata=self._dict_to_content_metadata(data["content_metadata"]) if data.get("content_metadata") else None, |
| 325 | final_video_path=data.get("final_video_path"), |
| 326 | total_duration=data.get("total_duration", 0.0), |
| 327 | created_at=datetime.fromisoformat(data["created_at"]) if data.get("created_at") else None, |
| 328 | completed_at=datetime.fromisoformat(data["completed_at"]) if data.get("completed_at") else None, |
| 329 | ) |
| 330 | |
| 331 | def _config_to_dict(self, config: StoryboardConfig) -> Dict[str, Any]: |
| 332 | """Convert StoryboardConfig to dict""" |
| 333 | return { |
| 334 | "task_id": config.task_id, |
| 335 | "n_storyboard": config.n_storyboard, |
| 336 | "min_narration_words": config.min_narration_words, |
| 337 | "max_narration_words": config.max_narration_words, |
| 338 | "min_image_prompt_words": config.min_image_prompt_words, |
| 339 | "max_image_prompt_words": config.max_image_prompt_words, |
| 340 | "video_fps": config.video_fps, |
| 341 | "tts_inference_mode": config.tts_inference_mode, |
| 342 | "voice_id": config.voice_id, |
| 343 | "tts_workflow": config.tts_workflow, |
| 344 | "tts_speed": config.tts_speed, |
| 345 | "ref_audio": config.ref_audio, |
| 346 | "media_width": config.media_width, |
| 347 | "media_height": config.media_height, |
| 348 | "media_workflow": config.media_workflow, |
| 349 | "frame_template": config.frame_template, |
| 350 | "template_params": config.template_params, |
| 351 | } |
| 352 | |
| 353 | def _dict_to_config(self, data: Dict[str, Any]) -> StoryboardConfig: |
| 354 | """Convert dict to StoryboardConfig""" |
| 355 | return StoryboardConfig( |
| 356 | task_id=data.get("task_id"), |
| 357 | n_storyboard=data.get("n_storyboard", 5), |
| 358 | min_narration_words=data.get("min_narration_words", 5), |
| 359 | max_narration_words=data.get("max_narration_words", 20), |
| 360 | min_image_prompt_words=data.get("min_image_prompt_words", 30), |
| 361 | max_image_prompt_words=data.get("max_image_prompt_words", 60), |
| 362 | video_fps=data.get("video_fps", 30), |
| 363 | tts_inference_mode=data.get("tts_inference_mode", "local"), |
| 364 | voice_id=data.get("voice_id"), |
| 365 | tts_workflow=data.get("tts_workflow"), |
| 366 | tts_speed=data.get("tts_speed"), |
| 367 | ref_audio=data.get("ref_audio"), |
| 368 | media_width=data.get("media_width", data.get("image_width", 1024)), # Backward compatibility |
| 369 | media_height=data.get("media_height", data.get("image_height", 1024)), # Backward compatibility |
| 370 | media_workflow=data.get("media_workflow", data.get("image_workflow")), # Backward compatibility |
| 371 | frame_template=data.get("frame_template", "1080x1920/default.html"), |
| 372 | template_params=data.get("template_params"), |
| 373 | ) |
| 374 | |
| 375 | def _frame_to_dict(self, frame: StoryboardFrame) -> Dict[str, Any]: |
| 376 | """Convert StoryboardFrame to dict""" |
| 377 | return { |
| 378 | "index": frame.index, |
| 379 | "narration": frame.narration, |
| 380 | "image_prompt": frame.image_prompt, |
| 381 | "audio_path": frame.audio_path, |
| 382 | "media_type": frame.media_type, |
| 383 | "image_path": frame.image_path, |
| 384 | "video_path": frame.video_path, |
| 385 | "composed_image_path": frame.composed_image_path, |
| 386 | "video_segment_path": frame.video_segment_path, |
| 387 | "duration": frame.duration, |
| 388 | "created_at": frame.created_at.isoformat() if frame.created_at else None, |
| 389 | } |
| 390 | |
| 391 | def _dict_to_frame(self, data: Dict[str, Any]) -> StoryboardFrame: |
| 392 | """Convert dict to StoryboardFrame""" |
| 393 | return StoryboardFrame( |
| 394 | index=data["index"], |
| 395 | narration=data["narration"], |
| 396 | image_prompt=data["image_prompt"], |
| 397 | audio_path=data.get("audio_path"), |
| 398 | media_type=data.get("media_type"), |
| 399 | image_path=data.get("image_path"), |
| 400 | video_path=data.get("video_path"), |
| 401 | composed_image_path=data.get("composed_image_path"), |
| 402 | video_segment_path=data.get("video_segment_path"), |
| 403 | duration=data.get("duration", 0.0), |
| 404 | created_at=datetime.fromisoformat(data["created_at"]) if data.get("created_at") else None, |
| 405 | ) |
| 406 | |
| 407 | def _content_metadata_to_dict(self, metadata: ContentMetadata) -> Dict[str, Any]: |
| 408 | """Convert ContentMetadata to dict""" |
| 409 | return { |
| 410 | "title": metadata.title, |
| 411 | "author": metadata.author, |
| 412 | "subtitle": metadata.subtitle, |
| 413 | "genre": metadata.genre, |
| 414 | "summary": metadata.summary, |
| 415 | "publication_year": metadata.publication_year, |
| 416 | "cover_url": metadata.cover_url, |
| 417 | } |
| 418 | |
| 419 | def _dict_to_content_metadata(self, data: Dict[str, Any]) -> ContentMetadata: |
| 420 | """Convert dict to ContentMetadata""" |
| 421 | return ContentMetadata( |
| 422 | title=data["title"], |
| 423 | author=data.get("author"), |
| 424 | subtitle=data.get("subtitle"), |
| 425 | genre=data.get("genre"), |
| 426 | summary=data.get("summary"), |
| 427 | publication_year=data.get("publication_year"), |
| 428 | cover_url=data.get("cover_url"), |
| 429 | ) |
| 430 | |
| 431 | # ======================================================================== |
| 432 | # Index Management (for fast listing) |
| 433 | # ======================================================================== |
| 434 | |
| 435 | def _ensure_index(self): |
| 436 | """Ensure index file exists, create if not""" |
| 437 | if not self.index_file.exists(): |
| 438 | self._save_index({"version": "1.0", "tasks": []}) |
| 439 | |
| 440 | def _load_index(self) -> Dict[str, Any]: |
| 441 | """Load index from file""" |
| 442 | try: |
| 443 | with open(self.index_file, "r", encoding="utf-8") as f: |
| 444 | return json.load(f) |
| 445 | except Exception as e: |
| 446 | logger.error(f"Failed to load index: {e}") |
| 447 | return {"version": "1.0", "tasks": []} |
| 448 | |
| 449 | def _save_index(self, index_data: Dict[str, Any]): |
| 450 | """Save index to file""" |
| 451 | try: |
| 452 | index_data["last_updated"] = datetime.now().isoformat() |
| 453 | with open(self.index_file, "w", encoding="utf-8") as f: |
| 454 | json.dump(index_data, f, ensure_ascii=False, indent=2) |
| 455 | except Exception as e: |
| 456 | logger.error(f"Failed to save index: {e}") |
| 457 | |
| 458 | async def _update_index_for_task(self, task_id: str, metadata: Dict[str, Any]): |
| 459 | """Update index entry for a specific task""" |
| 460 | index = self._load_index() |
| 461 | |
| 462 | # Try to get title from multiple sources |
| 463 | title = metadata.get("input", {}).get("title") |
| 464 | if not title or title == "": |
| 465 | # Try to get title from storyboard if input title is empty |
| 466 | storyboard = await self.load_storyboard(task_id) |
| 467 | if storyboard and storyboard.title: |
| 468 | title = storyboard.title |
| 469 | else: |
| 470 | # Fall back to using input text preview |
| 471 | input_text = metadata.get("input", {}).get("text", "") |
| 472 | if input_text: |
| 473 | # Use first 30 characters of input text as title |
| 474 | title = input_text[:30] + ("..." if len(input_text) > 30 else "") |
| 475 | else: |
| 476 | title = "Untitled" |
| 477 | |
| 478 | # Extract key info for index |
| 479 | index_entry = { |
| 480 | "task_id": task_id, |
| 481 | "created_at": metadata.get("created_at"), |
| 482 | "completed_at": metadata.get("completed_at"), |
| 483 | "status": metadata.get("status", "unknown"), |
| 484 | "title": title, |
| 485 | "duration": metadata.get("result", {}).get("duration", 0), |
| 486 | "n_frames": metadata.get("result", {}).get("n_frames", 0), |
| 487 | "file_size": metadata.get("result", {}).get("file_size", 0), |
| 488 | "video_path": metadata.get("result", {}).get("video_path"), |
| 489 | } |
| 490 | |
| 491 | # Update or append |
| 492 | tasks = index.get("tasks", []) |
| 493 | existing_idx = next((i for i, t in enumerate(tasks) if t["task_id"] == task_id), None) |
| 494 | |
| 495 | if existing_idx is not None: |
| 496 | tasks[existing_idx] = index_entry |
| 497 | else: |
| 498 | tasks.append(index_entry) |
| 499 | |
| 500 | index["tasks"] = tasks |
| 501 | self._save_index(index) |
| 502 | |
| 503 | async def rebuild_index(self): |
| 504 | """Rebuild index by scanning all task directories""" |
| 505 | logger.info("Rebuilding task index...") |
| 506 | index = {"version": "1.0", "tasks": []} |
| 507 | |
| 508 | # Scan all directories |
| 509 | for task_dir in self.output_dir.iterdir(): |
| 510 | if not task_dir.is_dir() or task_dir.name.startswith("."): |
| 511 | continue |
| 512 | |
| 513 | task_id = task_dir.name |
| 514 | metadata = await self.load_task_metadata(task_id) |
| 515 | |
| 516 | if metadata: |
| 517 | # Try to get title from multiple sources |
| 518 | title = metadata.get("input", {}).get("title") |
| 519 | if not title or title == "": |
| 520 | # Try to get title from storyboard if input title is empty |
| 521 | storyboard = await self.load_storyboard(task_id) |
| 522 | if storyboard and storyboard.title: |
| 523 | title = storyboard.title |
| 524 | else: |
| 525 | # Fall back to using input text preview |
| 526 | input_text = metadata.get("input", {}).get("text", "") |
| 527 | if input_text: |
| 528 | # Use first 30 characters of input text as title |
| 529 | title = input_text[:30] + ("..." if len(input_text) > 30 else "") |
| 530 | else: |
| 531 | title = "Untitled" |
| 532 | |
| 533 | # Add to index |
| 534 | index["tasks"].append({ |
| 535 | "task_id": task_id, |
| 536 | "created_at": metadata.get("created_at"), |
| 537 | "completed_at": metadata.get("completed_at"), |
| 538 | "status": metadata.get("status", "unknown"), |
| 539 | "title": title, |
| 540 | "duration": metadata.get("result", {}).get("duration", 0), |
| 541 | "n_frames": metadata.get("result", {}).get("n_frames", 0), |
| 542 | "file_size": metadata.get("result", {}).get("file_size", 0), |
| 543 | "video_path": metadata.get("result", {}).get("video_path"), |
| 544 | }) |
| 545 | |
| 546 | self._save_index(index) |
| 547 | logger.info(f"Index rebuilt: {len(index['tasks'])} tasks") |
| 548 | |
| 549 | # ======================================================================== |
| 550 | # Paginated Listing |
| 551 | # ======================================================================== |
| 552 | |
| 553 | async def list_tasks_paginated( |
| 554 | self, |
| 555 | page: int = 1, |
| 556 | page_size: int = 20, |
| 557 | status: Optional[str] = None, |
| 558 | sort_by: str = "created_at", |
| 559 | sort_order: str = "desc" |
| 560 | ) -> Dict[str, Any]: |
| 561 | """ |
| 562 | List tasks with pagination |
| 563 | |
| 564 | Args: |
| 565 | page: Page number (1-indexed) |
| 566 | page_size: Items per page |
| 567 | status: Filter by status (optional) |
| 568 | sort_by: Sort field (created_at, completed_at, title, duration) |
| 569 | sort_order: Sort order (asc, desc) |
| 570 | |
| 571 | Returns: |
| 572 | { |
| 573 | "tasks": [...], # List of task summaries |
| 574 | "total": 100, # Total matching tasks |
| 575 | "page": 1, # Current page |
| 576 | "page_size": 20, # Items per page |
| 577 | "total_pages": 5 # Total pages |
| 578 | } |
| 579 | """ |
| 580 | index = self._load_index() |
| 581 | tasks = index.get("tasks", []) |
| 582 | |
| 583 | # Filter by status |
| 584 | if status: |
| 585 | tasks = [t for t in tasks if t.get("status") == status] |
| 586 | |
| 587 | # Sort |
| 588 | reverse = (sort_order == "desc") |
| 589 | if sort_by in ["created_at", "completed_at"]: |
| 590 | tasks.sort( |
| 591 | key=lambda t: datetime.fromisoformat(t.get(sort_by, "1970-01-01T00:00:00")), |
| 592 | reverse=reverse |
| 593 | ) |
| 594 | elif sort_by in ["title", "duration", "n_frames"]: |
| 595 | tasks.sort(key=lambda t: t.get(sort_by, ""), reverse=reverse) |
| 596 | |
| 597 | # Paginate |
| 598 | total = len(tasks) |
| 599 | total_pages = (total + page_size - 1) // page_size |
| 600 | start_idx = (page - 1) * page_size |
| 601 | end_idx = start_idx + page_size |
| 602 | page_tasks = tasks[start_idx:end_idx] |
| 603 | |
| 604 | return { |
| 605 | "tasks": page_tasks, |
| 606 | "total": total, |
| 607 | "page": page, |
| 608 | "page_size": page_size, |
| 609 | "total_pages": total_pages, |
| 610 | } |
| 611 | |
| 612 | # ======================================================================== |
| 613 | # Statistics |
| 614 | # ======================================================================== |
| 615 | |
| 616 | async def get_statistics(self) -> Dict[str, Any]: |
| 617 | """ |
| 618 | Get statistics about all tasks |
| 619 | |
| 620 | Returns: |
| 621 | { |
| 622 | "total_tasks": 100, |
| 623 | "completed": 95, |
| 624 | "failed": 5, |
| 625 | "total_duration": 3600.5, # seconds |
| 626 | "total_size": 1024000000, # bytes |
| 627 | } |
| 628 | """ |
| 629 | index = self._load_index() |
| 630 | tasks = index.get("tasks", []) |
| 631 | |
| 632 | stats = { |
| 633 | "total_tasks": len(tasks), |
| 634 | "completed": len([t for t in tasks if t.get("status") == "completed"]), |
| 635 | "failed": len([t for t in tasks if t.get("status") == "failed"]), |
| 636 | "total_duration": sum(t.get("duration", 0) for t in tasks), |
| 637 | "total_size": sum(t.get("file_size", 0) for t in tasks), |
| 638 | } |
| 639 | |
| 640 | return stats |
| 641 | |
| 642 | # ======================================================================== |
| 643 | # Delete Task |
| 644 | # ======================================================================== |
| 645 | |
| 646 | async def delete_task(self, task_id: str) -> bool: |
| 647 | """ |
| 648 | Delete a task and all its files |
| 649 | |
| 650 | Args: |
| 651 | task_id: Task ID to delete |
| 652 | |
| 653 | Returns: |
| 654 | True if successful, False otherwise |
| 655 | """ |
| 656 | try: |
| 657 | import shutil |
| 658 | |
| 659 | task_dir = self.get_task_dir(task_id) |
| 660 | if task_dir.exists(): |
| 661 | shutil.rmtree(task_dir) |
| 662 | logger.info(f"Deleted task directory: {task_dir}") |
| 663 | |
| 664 | # Update index |
| 665 | index = self._load_index() |
| 666 | tasks = index.get("tasks", []) |
| 667 | tasks = [t for t in tasks if t["task_id"] != task_id] |
| 668 | index["tasks"] = tasks |
| 669 | self._save_index(index) |
| 670 | |
| 671 | return True |
| 672 | except Exception as e: |
| 673 | logger.error(f"Failed to delete task {task_id}: {e}") |
| 674 | return False |
| 675 | |
| 676 |