afv-library/skills/investigating-agentforce-d360/assets/dc/telemetry_spans.sql
rjayagopal 20ae436442 @W-22707610 feat: add investigating-agentforce-d360 skill
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.
2026-05-28 20:57:52 +10:00

56 lines
2.1 KiB
SQL

-- Agent Platform Tracing spans — OpenTelemetry span tree per trace.
-- DMO: ssot__TelemetryTraceSpan__dlm
--
-- Placeholders (substituted by scripts/dc.py.load_sql):
-- WHERE_CLAUSE — the filter expression, no "WHERE" keyword
-- ORDER_BY — full "ORDER BY <col>" or empty string
--
-- Provisioned only when **Agent Platform Tracing** is enabled (Setup →
-- Einstein Audit, Analytics, and Monitoring Setup). Captures spans from
-- Apex, Flows, Prompt Builder, Invocable Actions, Planner, AI Gateway,
-- LLM Gateway, DC Query Federator.
--
-- Join to STDM: `ssot__TelemetryTrace__c = Interaction.ssot__TelemetryTraceId__c`.
-- Parent/child within a trace: `ssot__TelemetryParentSpanId__c = <another span>.ssot__Id__c`.
SELECT
ssot__Id__c,
ssot__TelemetryTrace__c,
ssot__TelemetryParentSpanId__c,
ssot__OperationName__c,
ssot__ServiceName__c,
ssot__SpanKind__c,
ssot__StatusCode__c,
ssot__StartDateTime__c,
ssot__EndDateTime__c,
ssot__DurationNumber__c,
ssot__TelemetrySpanAttributeText__c,
ssot__InternalOrganizationId__c
FROM ssot__TelemetryTraceSpan__dlm
WHERE {{WHERE_CLAUSE}}
{{ORDER_BY}};
-- ============================================================================
-- EXAMPLE WHERE clauses (pass via where_clause=)
-- ============================================================================
-- All spans for one trace (joins to Interaction.ssot__TelemetryTraceId__c)
-- WHERE → ssot__TelemetryTrace__c = '<trace_id>'
-- ORDER BY → ORDER BY ssot__StartDateTime__c
-- All spans for a set of traces (whole session)
-- WHERE → ssot__TelemetryTrace__c IN ('<trace_id1>','<trace_id2>',...)
-- Only root spans (no parent)
-- WHERE → ssot__TelemetryTrace__c = '<trace_id>'
-- AND ssot__TelemetryParentSpanId__c = null
-- Only spans from a specific service
-- WHERE → ssot__TelemetryTrace__c = '<trace_id>'
-- AND ssot__ServiceName__c = 'Atlas Reasoning Engine'
-- Slow spans — duration > 1s (nanoseconds in DurationNumber)
-- WHERE → ssot__TelemetryTrace__c = '<trace_id>'
-- AND ssot__DurationNumber__c > 1000000000