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Jon Chery 0d2cbdb423 feat(P1): remove gitea/gitlab from synced files + simplify docs (REQ-230,231,232)

Genericize forge-detection code: gitea→forge/generic_forge, GITEA_ACTOR→FORGE_ACTOR.
Drop .gitea byte-identity test assertions (keep GitHub-side + contract conformance).
Add test_no_forge_mentions.py guard test (REQ-230).
Delete completed migration docs (NOVA_MIGRATION.md, NOVA_AWS_MIGRATION.md).
Move NO_HUMANS_THESIS.md to .ciagent/ (internal artifact).
Strip ciagent-internal provenance from synced docs (REQ-/D-/P-/CAP- IDs,
milestone headers, .ciagent/PROJECT.md citations).
Trim README.md (reusable deploy section, local key rotation paragraph).
Fix version-tag drift (@v1.13→@v1.19, acdl/→nova/).

---ci---
project: acdl
phase: 1
milestone: v1.20
status: execute
requirements: [REQ-230, REQ-231, REQ-232]
---/ci---

2026-08-07 18:20:29 +00:00

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Nova PowerBI Dashboard — Import Guide

This guide documents how to import Nova's metrics views into PowerBI via the folder connector, and suggests a starter visual model.

Import via folder connector

Open PowerBI Desktop.
Get Data → Folder → navigate to metrics/powerbi/.
PowerBI discovers all CSV/JSON files in the folder.
Combine the files — PowerBI creates a single query per file.

Starter visual model

Suggested joins

fact_run ←→ fact_decision on run_id (run-level decision path)
fact_run ←→ fact_cost_estimate on run_id (run-level cost)
fact_capability ←→ dim_capability on capability_id (capability lookup)
fact_capability ←→ dim_milestone on milestone (milestone lookup)

Suggested visuals (4 starter visuals)

Capability Health over Time — bar chart: fact_capability.status grouped by run_at_utc. Shows Verified/Skipped/Broken/Decayed trend. Source: fact_capability.csv.
Confidence Distribution — histogram: fact_confidence.score. Shows the distribution of confidence scores across all runs. Source: fact_confidence.csv.
Decision Accuracy — KPI card: count of fact_decision where outcome = 'succeeded' ÷ total fact_decision rows. Shows AI Decision Accuracy (NORTH_STAR target ≥99.5%). Source: fact_decision.csv.
Cost Trend — line chart: fact_cost_estimate.delta_usd over estimated_at. Shows pre-apply cost estimate trend (Infracost). Source: fact_cost_estimate.csv.

Placeholder views (deferred metrics)

The 8 placeholder_*.csv files contain headers only (no data rows). Each has a companion placeholder_*.json with the schema metadata (columns, blocking decision, description). When the blocking decision lifts (e.g., D-096 for live AWS), the collector will populate these views and PowerBI will automatically pick up the data.

Data refresh

The export is regenerated by running:

python3 core/metrics/collector.py   # rebuilds nova_metrics.db
python3 core/metrics/powerbi_export.py  # exports to metrics/powerbi/

In PowerBI, click Refresh to pick up the updated CSV/JSON files.

Honesty model

Every metric in the export is grounded (cites a source file), derived (documented formula), or deferred (cites a blocking decision ID). See docs/METRICS.md (P4) for the canonical catalog and docs/METRICS_VIEWS.md for the column-level data dictionary.

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