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129 lines
5.3 KiB
Python
129 lines
5.3 KiB
Python
"""Gmail connector demo — "ask my inbox".
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Pull Gmail messages into cognee memory, incrementally, with forget-on-delete.
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This example is built on cognee's DLT ingestion subsystem: ``gmail_source``
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returns a ``dlt`` resource that you hand straight to ``cognee.remember``. The
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first run backfills your (label-scoped) inbox; re-running ``remember`` syncs
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only the delta via Gmail's ``historyId``, and messages you delete/trash in
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Gmail are forgotten from memory on the next sync.
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────────────────────────────────────────────────────────────────────────────
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Privacy / opt-in
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────────────────────────────────────────────────────────────────────────────
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This reads the *content* of your email. It is strictly opt-in — nothing is
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fetched until you run this script. Scope what you ingest with ``label_ids`` /
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``query``, keep ``token.json`` private, and use a dedicated dataset so you can
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wipe it with a single ``cognee.forget``.
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────────────────────────────────────────────────────────────────────────────
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One-time setup
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────────────────────────────────────────────────────────────────────────────
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1. Install the extra:
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pip install "cognee[gmail]" # or: uv sync --extra gmail
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2. In Google Cloud Console: enable the Gmail API, configure an OAuth consent
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screen (add yourself as a test user), and create an OAuth 2.0 Client ID of
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type "Desktop app". Download the client-secret JSON.
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3. Save it next to this script as ``credentials.json`` (or pass
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``credentials_path=...``). The first run opens a browser to consent and
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caches a token at ``token.json``.
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4. Set your LLM key (``LLM_API_KEY``) in ``.env`` like any other cognee example.
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Run it:
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uv run python examples/demos/gmail_connector_example.py
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"""
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import asyncio
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import os
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import cognee
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from cognee.tasks.ingestion.connectors import gmail_source
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# Keep the inbox in its own dataset so it is easy to inspect and forget.
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DATASET_NAME = "gmail_inbox"
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# Routing kwargs shared by every remember() call below. ``max_rows_per_table=0``
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# disables cognee's per-table read cap so orphan-cleanup (forget-on-delete)
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# compares against the *entire* synced corpus, not a 50-row window.
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GMAIL_REMEMBER_KWARGS = {
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"primary_key": "id",
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"write_disposition": "merge",
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"max_rows_per_table": 0,
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"incremental_loading": False,
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"self_improvement": False,
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}
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async def main():
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credentials_path = os.environ.get("GMAIL_CREDENTIALS_PATH", "credentials.json")
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token_path = os.environ.get("GMAIL_TOKEN_PATH", "token.json")
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if not os.path.exists(credentials_path):
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print(
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f"Gmail OAuth client secrets not found at '{credentials_path}'.\n"
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"See the setup steps in this file's docstring, then re-run."
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)
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return
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# Start from a clean slate so the demo is reproducible.
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await cognee.prune.prune_data()
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await cognee.prune.prune_system(metadata=True)
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# Build the source. Scope it to INBOX and (for the demo) cap the backfill so
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# the first run is quick. Drop ``max_results`` to ingest the whole label.
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source = gmail_source(
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credentials_path=credentials_path,
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token_path=token_path,
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label_ids=["INBOX"],
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max_results=25,
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)
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# ── First sync: full backfill ──────────────────────────────────────────
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print("\n=== Gmail sync #1 (backfill) ===")
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result = await cognee.remember(
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source,
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dataset_name=DATASET_NAME,
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**GMAIL_REMEMBER_KWARGS,
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)
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print(result)
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answer = await cognee.search(
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query_text="Summarize the most important emails in my inbox.",
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query_type=cognee.SearchType.GRAPH_COMPLETION,
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datasets=[DATASET_NAME],
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)
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print("Inbox summary:", answer)
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# ── Second sync: incremental delta + forget-on-delete ──────────────────
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# Re-running with the SAME dataset reuses the persisted historyId cursor:
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# only messages added/changed since sync #1 are fetched, and anything you
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# deleted/trashed in Gmail is removed from memory by orphan_cleanup.
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print("\n=== Gmail sync #2 (incremental) ===")
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source = gmail_source(
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credentials_path=credentials_path,
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token_path=token_path,
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label_ids=["INBOX"],
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)
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result = await cognee.remember(
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source,
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dataset_name=DATASET_NAME,
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**GMAIL_REMEMBER_KWARGS,
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)
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print(result)
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answer = await cognee.search(
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query_text="What changed in my inbox recently?",
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query_type=cognee.SearchType.GRAPH_COMPLETION,
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datasets=[DATASET_NAME],
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)
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print("Recent changes:", answer)
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if __name__ == "__main__":
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asyncio.run(main())
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