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Data Cloud 360° view of a single Agentforce session — DC-only, zero
Splunk dependency. Pulls 24 STDM + GenAI DMOs via the Data Cloud Query
REST API, assembles a hierarchical session tree (Interaction → Step →
Generation → GatewayRequest), and renders a human-readable markdown
summary with transcript + per-turn topic/action invocations + LLM
generations + tool calls + audit chain.
Migrated as a standalone Apache-2.0 skill from an internal hub plugin —
self-contained, no sibling-skill or plugin dependencies.
What this skill answers:
- "Trace session <uuid>" / "Summarize what happened in <0Mw…>"
- "Find escalated sessions today on Messaging in <org>"
- Session discovery by time / agent / channel / outcome / conversation
text when the user has no session id
What it does NOT answer (use a different surface):
- Design-time architecture — use investigating-agentforce-architecture
- Runtime planner availability — DC alone can't tell you which
topic/action was eligible for the classifier on a given turn
Skill layout:
- 8 Python pipeline modules (fetch_dc, assemble_dc, render_dc,
discover_sessions, resolve_session, dc, storage, config)
- 4 _shared helpers (paths, fs_guard, sql, __init__) with skill-scoped
DATA_ROOT (~/.claude/data/investigating-agentforce-d360/)
- 26 SQL templates under assets/dc/
- 27 test files (367 tests + 18 subtests, 100% passing)
- 3 reference docs (artifacts.md, dc_dmo_fields.md,
dc_pipeline_contract.md)
- SKILL.md (sf-skills frontmatter, license: Apache-2.0,
metadata.version: "1.0")
- README.md (external-facing quick-start)
- tools/grant_allowlist.py (idempotent first-run permission grant)
- tools/archive_data_dir.sh (opt-in stop-hook tarballer)
Quality gates:
- pytest scripts/tests/: 367 passed + 18 subtests, 0 failures
- npm run validate:skills: 62 of 62 skill(s) checked, 0 errors
- Live end-to-end runs against 3 real Salesforce sessions exercising
both the full-tree and STDM-lag gateway-direct render branches
- 4 independent code-review rounds (correctness, security, markdown,
architecture-critic) — all findings addressed
Customer-data hygiene: no live tenant ids, no internal sprint markers,
no hub/sibling-skill references. Synthetic fixtures look obviously
synthetic (`019dface-…` UUIDs, `0MwTESTMSG…` MessagingSession ids,
`00DTESTORG…` org ids, `MyAgent` placeholder agent name).
Sibling skill: investigating-agentforce-architecture (PR #278) — same
migration pattern, design-time metadata; complementary scope.
101 lines
4.1 KiB
Python
101 lines
4.1 KiB
Python
"""Tests for ``resolve_session.resolve_from_disk``.
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The function walks ``DATA_ROOT`` for ``dc.sessions.json`` files and
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returns the AI-agent session UUID whose row has a matching
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``ssot__RelatedMessagingSessionId__c``. Must work across:
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- the nested layout (``<org>/<agent>__<ver>/<uuid>/``),
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- historic flat layout (``<uuid>/``),
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- user-created archive suffix dirs (skip — stale duplicate rows),
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- distinct-UUID multi-match (SystemExit),
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- UUID pass-through (no-op).
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"""
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from __future__ import annotations
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import json
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import tempfile
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import unittest
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from pathlib import Path
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from unittest import mock
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from . import _bootstrap # noqa: F401 — sys.path setup
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import resolve_session # type: ignore
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_UUID_A = "019dface-0000-7000-8000-000000000001"
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_UUID_B = "019dface-0000-7000-8000-000000000002"
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_MSG_ID = "0MwTESTMSG67890BBB"
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def _write_sessions_row(session_dir: Path, uuid: str, msg_id: str) -> None:
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session_dir.mkdir(parents=True, exist_ok=True)
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(session_dir / "dc.sessions.json").write_text(json.dumps([{
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"ssot__Id__c": uuid,
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"ssot__RelatedMessagingSessionId__c": msg_id,
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}]))
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class ResolveFromDiskTests(unittest.TestCase):
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def test_nested_layout_finds_uuid(self):
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"""``<org>/<agent>/<uuid>/dc.sessions.json`` — the current layout
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produced by ``storage.save``. Must find the messaging id."""
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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_write_sessions_row(
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root / "00D000000000000" / "DemoAgent__v5" / _UUID_A,
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_UUID_A, _MSG_ID,
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)
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with mock.patch.object(resolve_session, "DATA_ROOT", root):
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self.assertEqual(resolve_session.resolve_from_disk(_MSG_ID), _UUID_A)
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def test_flat_layout_still_finds_uuid(self):
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"""Historic ``<uuid>/dc.sessions.json`` layout — same rglob walk
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catches it. Regression guard for backwards compatibility."""
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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_write_sessions_row(root / _UUID_A, _UUID_A, _MSG_ID)
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with mock.patch.object(resolve_session, "DATA_ROOT", root):
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self.assertEqual(resolve_session.resolve_from_disk(_MSG_ID), _UUID_A)
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def test_archive_suffix_dirs_are_skipped(self):
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"""Primary ``<uuid>/`` + duplicate ``<uuid> - archive 1/`` hold
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identical rows. The archive copy must not trigger a multi-match."""
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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org_agent = root / "00D000000000000" / "DemoAgent__v5"
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_write_sessions_row(org_agent / _UUID_A, _UUID_A, _MSG_ID)
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_write_sessions_row(
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org_agent / f"{_UUID_A} - archive 1", _UUID_A, _MSG_ID,
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)
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with mock.patch.object(resolve_session, "DATA_ROOT", root):
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self.assertEqual(resolve_session.resolve_from_disk(_MSG_ID), _UUID_A)
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def test_distinct_uuids_with_same_msg_id_raise(self):
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"""Two DISTINCT uuid dirs carrying the same messaging id is the
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real ambiguity case — SystemExit with both uuids listed."""
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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org_agent = root / "00D000000000000" / "DemoAgent__v5"
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_write_sessions_row(org_agent / _UUID_A, _UUID_A, _MSG_ID)
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_write_sessions_row(org_agent / _UUID_B, _UUID_B, _MSG_ID)
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with mock.patch.object(resolve_session, "DATA_ROOT", root):
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with self.assertRaises(SystemExit) as cm:
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resolve_session.resolve_from_disk(_MSG_ID)
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msg = str(cm.exception)
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self.assertIn(_UUID_A, msg)
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self.assertIn(_UUID_B, msg)
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self.assertIn("matches 2", msg)
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def test_uuid_input_passes_through(self):
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"""UUID input is returned as-is without scanning. The caller
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validates disk presence downstream."""
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with tempfile.TemporaryDirectory() as tmp:
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with mock.patch.object(resolve_session, "DATA_ROOT", Path(tmp)):
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self.assertEqual(resolve_session.resolve_from_disk(_UUID_A), _UUID_A)
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if __name__ == "__main__":
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unittest.main()
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