Add Python

2024-05-20 14:45:37 +08:00
parent bc12fd14d3
commit fe952e674a
2 changed files with 76 additions and 0 deletions
@@ -0,0 +1,4 @@
+from . import ragpapi
+
+NODE_CLASS_MAPPINGS = {**ragpapi.NODE_CLASS_MAPPINGS,}
+NODE_DISPLAY_NAME_MAPPINGS = {**ragpapi.NODE_DISPLAY_NAME_MAPPINGS,}
@@ -0,0 +1,72 @@
+import os
+import io
+import json
+import requests
+import torch
+import numpy as np
+from io import BytesIO
+from PIL import Image
+
+def tensor2pil(image):
+    return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
+
+def pil2tensor(image):
+    return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
+
+class ImageRequestNode:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "query": ("STRING", {"default": "美女 车 雪山", "multiline": True}),
+                "n": ("INT", {"default": 1, "min": 1, "max": 10}),
+                "bm25_n": ("INT", {"default": 500, "min": 1, "max": 1000}),
+                "retrieve_n": ("INT", {"default": 10, "min": 1, "max": 100}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "fetch_image"
+    CATEGORY = "🔥Image Request"
+
+    def fetch_image(self, query, n, bm25_n, retrieve_n):
+        url = "http://10.0.100.224:58000/rag_proxy/vl_result_fix"
+        payload = json.dumps({
+            "query": query,
+            "n": n,
+            "bm25_n": bm25_n,
+            "retrieve_n": retrieve_n
+        })
+        headers = {
+            'Content-Type': 'application/json'
+        }
+
+        response = requests.post(url, headers=headers, data=payload)
+
+        if response.status_code == 200:
+            json_data = response.json()
+            if json_data['code'] == 200 and 'data' in json_data and len(json_data['data']) > 0:
+                image_url = json_data['data'][0]['url']
+                image_response = requests.get(image_url)
+                if image_response.status_code == 200:
+                    image_data = Image.open(BytesIO(image_response.content))
+                    output_t = pil2tensor(image_data)
+                    return (output_t,)
+                else:
+                    raise Exception(f"Failed to fetch image from URL: {image_response.status_code}")
+            else:
+                raise Exception(f"API response error: {json_data.get('message', 'Unknown error')}")
+        else:
+            raise Exception(f"Failed to fetch data: {response.status_code}")
+
+NODE_CLASS_MAPPINGS = {
+    "ImageRequestNode": ImageRequestNode,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ImageRequestNode": "🔥Image Request Node",
+}
+