update one_api example with schema

Author: VinciGit00

examples/local_models/smart_scraper_schema_ollama.py

@@ -4,6 +4,7 @@
 import json
 from scrapegraphai.graphs import SmartScraperGraph
 from scrapegraphai.utils import prettify_exec_info
+
 # ************************************************
 # Define the configuration for the graph
 # ************************************************

examples/oneapi/smart_scraper_schema_oneapi.py

@@ -0,0 +1,61 @@
+""" 
+Basic example of scraping pipeline using SmartScraper
+"""
+
+from scrapegraphai.graphs import SmartScraperGraph
+from scrapegraphai.utils import prettify_exec_info
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+schema= """
+    { 
+    "Projects": [
+        "Project #": 
+            { 
+                "title": "...", 
+                "description": "...", 
+            }, 
+        "Project #": 
+            { 
+                "title": "...", 
+                "description": "...", 
+            } 
+        ] 
+    } 
+"""
+
+# ************************************************
+# Define the configuration for the graph
+# *********************************************
+
+graph_config = {
+    "llm": {
+        "api_key": "***************************",
+        "model": "oneapi/qwen-turbo",
+        "base_url": "http://127.0.0.1:3000/v1",  # 设置 OneAPI URL
+    },
+    "embeddings": {
+        "model": "ollama/nomic-embed-text",
+        "base_url": "http://127.0.0.1:11434",  # 设置 Ollama URL
+    }
+}
+
+# ************************************************
+# Create the SmartScraperGraph instance and run it
+# ************************************************
+
+smart_scraper_graph = SmartScraperGraph(
+    prompt="该网站为XXXXX,请提取出标题、发布时间、发布来源以及内容摘要,并以中文回答。",
+    # 也可以使用已下载的 HTML 代码的字符串
+    source="http://XXXX",
+    schema=schema,
+    config=graph_config
+)
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+result = smart_scraper_graph.run()
+print(result)
+print(prettify_exec_info(result))