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https://github.com/langchain-ai/langgraph.git
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Move subscribe/write cls methods to Channel
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@@ -6,7 +6,8 @@ from langchain.schema import Document
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from langchain.schema.runnable import RunnableLambda, RunnablePassthrough
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from langchain.utils.html import extract_sub_links
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from permchain import Channels, Pregel
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from permchain import Channel, Pregel
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from permchain.channels import Archive, Context, LastValue, UniqueArchive, UniqueInbox
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# Load url with sync httpx client
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@@ -84,23 +85,23 @@ def recursive_web_loader(
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metadata_extractor = metadata_extractor or _metadata_extractor
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# define the channels
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channels = {
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"base_url": Channels.LastValue(str),
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"next_urls": Channels.UniqueInbox(str),
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"documents": Channels.Archive(Document),
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"visited": Channels.UniqueArchive(str),
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"client": Channels.Context(httpx_client, httpx_aclient),
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"base_url": LastValue(str),
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"next_urls": UniqueInbox(str),
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"documents": Archive(Document),
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"visited": UniqueArchive(str),
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"client": Context(httpx_client, httpx_aclient),
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}
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# the main chain that gets executed recursively
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visitor = (
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# while there are urls in next_urls
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# run the chain below for each url in next_urls
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# adding the current values of visited set, base_url and httpx client
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Pregel.subscribe_to_each("next_urls", key="url").join(
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Channel.subscribe_to_each("next_urls", key="url").join(
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["visited", "client", "base_url"]
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)
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# load the url (with sync and async implementations)
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| RunnablePassthrough.assign(body=RunnableLambda(load_url, load_url_async))
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| Pregel.write_to(
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| Channel.write_to(
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# send this url to the visited set
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visited=lambda x: x["url"],
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# send a new document to the documents stream
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@@ -123,7 +124,7 @@ def recursive_web_loader(
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channels=channels,
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chains={
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# use the base_url as the first url to visit
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"input": Pregel.subscribe_to("base_url") | Pregel.write_to("next_urls"),
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"input": Channel.subscribe_to("base_url") | Channel.write_to("next_urls"),
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# add the main chain
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"visitor": visitor,
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},
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