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fix/749
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fix/562-ci
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db09e0b5c2 |
@@ -12,8 +12,8 @@ The predictor reads two data sources:
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2. **Heartbeat logs** (`heartbeat/ticks_*.jsonl`) — Gitea availability,
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local inference health
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It compares a **recent window** (last N hours of activity) against the **previous active window**
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(previous N hours ending at the most recent event before the current window) so sparse telemetry still yields a meaningful baseline.
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It compares a **recent window** (last N hours) against a **baseline window**
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(previous N hours) to detect surges and degradation.
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## Output Contract
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34
docs/ci-pipeline.md
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34
docs/ci-pipeline.md
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@@ -0,0 +1,34 @@
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# CI Pipeline for Agent PRs
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Implements #562: [FLEET-009] Build CI Pipeline for Agent PRs.
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## Overview
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The agent PR gate (`.gitea/workflows/agent-pr-gate.yml`) automatically validates agent-created PRs before merge.
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## Pipeline Steps
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1. **Risk Classification** — Classifies PR risk (low/medium/high) based on files changed
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2. **Syntax Check** — Validates YAML, JSON, Python, and Bash syntax
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3. **Test Suite** — Runs pytest
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4. **Criteria Verification** — Validates PR against acceptance criteria
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5. **Report** — Posts results as PR comment
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6. **Auto-Merge** — Merges low-risk PRs automatically if all checks pass
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## Risk Levels
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- **Low**: Safe files only (docs, tests, non-critical scripts). Auto-merges on pass.
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- **Medium**: Config or infrastructure changes. Requires human review.
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- **High**: Core system files (SOUL.md, deploy scripts, security code). Always requires human.
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## Failure Handling
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If any check fails:
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- Gate job fails (PR blocked from merge)
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- Report job posts comment with failure details
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- Author sees exactly what failed and why
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## Related
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- Auto-merge script: `scripts/auto_merge.sh` (excludes the-door per #183)
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- PR safety labeler: `scripts/pr-safety-labeler.sh` (labels crisis-critical repos)
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@@ -90,19 +90,13 @@ def compute_rates(
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latest = max(_parse_ts(r["timestamp"]) for r in rows)
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recent_cutoff = latest - timedelta(hours=horizon_hours)
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baseline_cutoff = latest - timedelta(hours=horizon_hours * 2)
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recent = [r for r in rows if _parse_ts(r["timestamp"]) >= recent_cutoff]
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earlier = [r for r in rows if _parse_ts(r["timestamp"]) < recent_cutoff]
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if earlier:
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previous_latest = max(_parse_ts(r["timestamp"]) for r in earlier)
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previous_cutoff = previous_latest - timedelta(hours=horizon_hours)
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baseline = [
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r for r in earlier
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if _parse_ts(r["timestamp"]) >= previous_cutoff
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]
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else:
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baseline = []
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baseline = [
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r for r in rows
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if baseline_cutoff <= _parse_ts(r["timestamp"]) < recent_cutoff
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]
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recent_rate = len(recent) / max(horizon_hours, 1)
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baseline_rate = (
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@@ -99,17 +99,6 @@ class TestComputeRates:
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_, _, surge, _, _ = compute_rates(rows, horizon_hours=6)
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assert surge < 1.5
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def test_falls_back_to_prior_activity_when_previous_window_is_empty(self):
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baseline = _make_metrics(3, base_hour=0)
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recent = _make_metrics(6, base_hour=12)
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rows = baseline + recent
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recent_rate, baseline_rate, surge, _, _ = compute_rates(rows, horizon_hours=6)
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assert recent_rate == 1.0
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assert baseline_rate == 0.5
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assert surge == 2.0
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# ── Caller Analysis ──────────────────────────────────────────────────────────
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