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62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
"""
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Basic example of scraping pipeline using SmartScraper
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"""
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from scrapegraphai.graphs import SmartScraperGraph
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from scrapegraphai.utils import prettify_exec_info
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# ************************************************
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# Define the configuration for the graph
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# ************************************************
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schema= """
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{
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"Projects": [
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"Project #":
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{
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"title": "...",
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"description": "...",
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},
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"Project #":
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{
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"title": "...",
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"description": "...",
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}
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]
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}
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"""
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# ************************************************
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# Define the configuration for the graph
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# *********************************************
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graph_config = {
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"llm": {
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"api_key": "***************************",
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"model": "oneapi/qwen-turbo",
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"base_url": "http://127.0.0.1:3000/v1", # 设置 OneAPI URL
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},
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"embeddings": {
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"model": "ollama/nomic-embed-text",
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"base_url": "http://127.0.0.1:11434", # 设置 Ollama URL
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}
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}
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# ************************************************
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# Create the SmartScraperGraph instance and run it
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# ************************************************
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smart_scraper_graph = SmartScraperGraph(
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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。",
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# 也可以使用已下载的 HTML 代码的字符串
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source="http://XXXX",
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schema=schema,
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config=graph_config
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)
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# ************************************************
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# Get graph execution info
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# ************************************************
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result = smart_scraper_graph.run()
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print(result)
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print(prettify_exec_info(result))
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