mirror of
https://github.com/tiennm99/DocsGPT.git
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arc53-machine
03d1b10897
The Linear connector now syncs as well as giving agents its tools, from one connection. Linear's MCP server is its own OAuth issuer, so its tokens are read through the same MCP tools the agents use (list_issues, get_issue, list_comments, list_documents) rather than Linear's GraphQL API, and no OAuth app has to be registered. A source picks teams and projects, with comments (on by default) and the projects' documents. Each issue becomes one document with its state, assignee, priority, labels, description and comments, filed under its team and citing its Linear URL. Each sync reads up to 500 issues and 100 documents again. /api/connections/<id>/linear lists the teams and projects to pick from. Sources sync on their schedule with the owner's connection, and pause when the sign-in needs reconnecting.
95 lines
3.2 KiB
Python
95 lines
3.2 KiB
Python
import json
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from docsgpt.parser.remote.sitemap_loader import SitemapLoader
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from docsgpt.parser.remote.crawler_loader import CrawlerLoader
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from docsgpt.parser.remote.web_loader import WebLoader
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from docsgpt.parser.remote.reddit_loader import RedditPostsLoaderRemote
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from docsgpt.parser.remote.github_loader import GitHubLoader
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from docsgpt.parser.remote.linear_loader import LinearLoader
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from docsgpt.parser.remote.s3_loader import S3Loader
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class RemoteCreator:
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"""
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Factory class for creating remote content loaders.
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These loaders fetch content from remote web sources like URLs,
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sitemaps, web crawlers, social media platforms, etc.
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For external knowledge base connectors (like Google Drive),
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use ConnectorCreator instead.
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"""
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loaders = {
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"url": WebLoader,
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"sitemap": SitemapLoader,
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"crawler": CrawlerLoader,
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"reddit": RedditPostsLoaderRemote,
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"github": GitHubLoader,
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"s3": S3Loader,
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"linear": LinearLoader,
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}
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@classmethod
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def create_loader(cls, type, *args, **kwargs):
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loader_class = cls.loaders.get(type.lower())
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if not loader_class:
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raise ValueError(f"No loader class found for type {type}")
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return loader_class(*args, **kwargs)
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# Loader types whose load_data expects a URL string, not a config dict.
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_URL_LOADER_TYPES = {"url", "crawler", "sitemap", "github"}
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# Keys a remote_data dict may hold the URL under (``raw`` is the legacy shape).
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_URL_DATA_KEYS = ("url", "urls", "repo_url", "raw")
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def normalize_remote_data(source_type, remote_data):
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"""Convert a stored ``sources.remote_data`` JSONB value into the
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``source_data`` shape the matching loader expects.
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Args:
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source_type: The ``sources.type`` value (the loader name).
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remote_data: The stored ``remote_data`` (dict, list, str, or None).
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Returns:
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Loader input: a URL string or list for url/crawler/sitemap/github,
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a JSON string for reddit, a dict for s3; ``None`` when the row has
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nothing syncable.
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"""
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if remote_data is None:
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return None
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# Some legacy rows stored the JSON itself as a string.
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if isinstance(remote_data, str):
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stripped = remote_data.strip()
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if stripped[:1] in ("{", "["):
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try:
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remote_data = json.loads(stripped)
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except json.JSONDecodeError:
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# Not actually JSON — leave remote_data as the original
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# string; the per-loader branches below handle a string.
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pass
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loader = (source_type or "").lower()
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if loader in _URL_LOADER_TYPES:
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if isinstance(remote_data, dict):
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for key in _URL_DATA_KEYS:
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value = remote_data.get(key)
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if value:
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return value
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# No URL key — None keeps the loader off the dict-crash path.
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return None
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return remote_data
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if loader == "reddit":
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# reddit's loader runs json.loads() on its input — needs a string.
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if isinstance(remote_data, (dict, list)):
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return json.dumps(remote_data)
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return remote_data
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# s3's and linear's loaders accept a dict or JSON string; pass it through unchanged.
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return remote_data
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