- Split app.py into route blueprints (files, layers, images, polygon, mask, krita) - Create services layer (polygon_storage, comfyui, file_browser) - Extract config constants to config.py - Split templates into Jinja partials (base, components, modals) - Add browse dialog for visual file navigation - Add /api/browse endpoint for directory listing
188 lines
6.8 KiB
Python
188 lines
6.8 KiB
Python
"""ComfyUI integration service for mask extraction."""
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import base64
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import io
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import json
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import random
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import threading
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import time
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import urllib.error
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import urllib.parse
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import urllib.request
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from pathlib import Path
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from typing import Any
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import logging
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from PIL import Image, ImageDraw
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logger = logging.getLogger(__name__)
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class ComfyUIService:
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"""Service for interacting with ComfyUI API."""
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def __init__(self, base_url: str):
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self.base_url = base_url
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self._webhook_response: dict | None = None
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self._webhook_ready = threading.Event()
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def submit_workflow(self, workflow: dict, comfy_url: str | None = None) -> str:
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"""Submit a workflow to ComfyUI and return the prompt_id."""
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url = comfy_url or self.base_url
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headers = {'Content-Type': 'application/json'}
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payload = json.dumps({"prompt": workflow}).encode('utf-8')
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req = urllib.request.Request(
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f'http://{url}/prompt',
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data=payload,
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headers=headers,
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method='POST'
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)
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with urllib.request.urlopen(req, timeout=30) as response:
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result = json.loads(response.read().decode())
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prompt_id = result.get('prompt_id')
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if not prompt_id:
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raise RuntimeError("No prompt_id returned from ComfyUI")
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return prompt_id
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def poll_for_completion(self, prompt_id: str, comfy_url: str | None = None, timeout: int = 240) -> bool:
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"""Poll ComfyUI history for workflow completion."""
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url = comfy_url or self.base_url
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headers = {'Content-Type': 'application/json'}
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start_time = time.time()
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while time.time() - start_time < timeout:
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try:
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req = urllib.request.Request(
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f'http://{url}/history/{prompt_id}',
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headers=headers,
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method='GET'
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)
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with urllib.request.urlopen(req, timeout=30) as response:
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history = json.loads(response.read().decode())
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if prompt_id in history:
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status = history[prompt_id].get('status', {})
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if status.get('status_str') == 'success':
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return True
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time.sleep(2)
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except urllib.error.HTTPError as e:
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if e.code == 404:
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time.sleep(2)
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else:
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raise
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except Exception as e:
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logger.error(f"Error polling history: {e}")
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time.sleep(2)
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return False
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def wait_for_webhook(self, timeout: float = 60.0) -> dict | None:
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"""Wait for webhook callback from ComfyUI."""
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if self._webhook_ready.is_set() and self._webhook_response is not None:
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return self._webhook_response
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self._webhook_ready.clear()
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self._webhook_response = None
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webhook_received = self._webhook_ready.wait(timeout=timeout)
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if webhook_received:
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return self._webhook_response
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return None
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def handle_webhook(self, request_files, request_form, request_data, temp_dir: Path) -> dict:
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"""Handle incoming webhook from ComfyUI."""
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self._webhook_response = None
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self._webhook_ready.clear()
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try:
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img_file = None
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if 'file' in request_files:
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img_file = request_files['file']
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elif 'image' in request_files:
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img_file = request_files['image']
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elif request_files:
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img_file = list(request_files.values())[0]
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if img_file:
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timestamp = str(int(time.time()))
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final_mask_path = temp_dir / f"mask_{timestamp}.png"
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img = Image.open(img_file).convert('RGBA')
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img.save(str(final_mask_path), format='PNG')
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logger.info(f"[WEBHOOK] Image saved to {final_mask_path}")
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self._webhook_response = {'success': True, 'path': final_mask_path}
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elif request_data:
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timestamp = str(int(time.time()))
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final_mask_path = temp_dir / f"mask_{timestamp}.png"
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with open(final_mask_path, 'wb') as f:
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f.write(request_data)
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logger.info(f"[WEBHOOK] Raw data saved to {final_mask_path}")
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self._webhook_response = {'success': True, 'path': final_mask_path}
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else:
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logger.error("[WEBHOOK] No image data in request")
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self._webhook_response = {'success': False, 'error': 'No image data received'}
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self._webhook_ready.set()
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return self._webhook_response
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except Exception as e:
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logger.error(f"[WEBHOOK] Error: {e}")
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self._webhook_response = {'success': False, 'error': str(e)}
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self._webhook_ready.set()
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return self._webhook_response
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def prepare_mask_workflow(
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self,
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base_image: Image.Image,
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subject: str,
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webhook_url: str,
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polygon_points: list | None = None,
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polygon_color: str = '#FF0000',
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polygon_width: int = 2,
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workflow_template: dict | None = None
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) -> dict:
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"""Prepare the mask extraction workflow."""
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workflow = workflow_template.copy() if workflow_template else {}
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img = base_image.copy()
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if polygon_points and len(polygon_points) >= 3:
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w, h = img.size
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pixel_points = [(int(p['x'] * w), int(p['y'] * h)) for p in polygon_points]
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draw = ImageDraw.Draw(img)
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hex_color = polygon_color if len(polygon_color) == 7 else polygon_color + 'FF'
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draw.polygon(pixel_points, outline=hex_color, width=polygon_width)
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img_io = io.BytesIO()
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img.save(img_io, format='PNG')
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img_io.seek(0)
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base64_image = base64.b64encode(img_io.read()).decode('utf-8')
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if "87" in workflow:
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workflow["87"]["inputs"]["image"] = base64_image
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if "1:68" in workflow and 'inputs' in workflow["1:68"]:
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workflow["1:68"]["inputs"]["prompt"] = f"Create a black and white alpha mask of {subject}, leaving everything else black"
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if "96" in workflow and 'inputs' in workflow["96"]:
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workflow["96"]["inputs"]["webhook_url"] = webhook_url
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if "50" in workflow and 'inputs' in workflow["50"]:
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workflow["50"]["inputs"]["seed"] = random.randint(0, 2**31-1)
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return workflow
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