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sprint/iss
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fix/749
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909b88af56 | ||
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f9f342cee7 |
@@ -11,40 +11,22 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Install dependencies
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- name: Install parse dependencies
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run: |
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python3 -m pip install --quiet pyyaml pytest
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- name: YAML parse check
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run: |
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find . \( -name '*.yml' -o -name '*.yaml' \) | grep -v .gitea | while read f; do
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if ! python3 -c "import yaml; yaml.safe_load(open('$f'))" 2>/dev/null; then
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echo "FAIL: $f"
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exit 1
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fi
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done
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echo "PASS: YAML files parse"
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- name: JSON parse check
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run: |
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find . -name '*.json' | while read f; do
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if ! python3 -m json.tool "$f" > /dev/null 2>&1; then
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echo "FAIL: $f"
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exit 1
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fi
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done
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echo "PASS: JSON files parse"
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- name: Python syntax check
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python3 -m pip install --quiet pyyaml
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- name: Parse check
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run: |
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find . \( -name '*.yml' -o -name '*.yaml' \) | grep -v .gitea | xargs -r python3 -c "import sys,yaml; [yaml.safe_load(open(f)) for f in sys.argv[1:]]"
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find . -name '*.json' | while read f; do python3 -m json.tool "$f" > /dev/null || exit 1; done
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find . -name '*.py' | xargs -r python3 -m py_compile
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echo "PASS: Python files compile"
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- name: Shell syntax check
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run: |
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find . -name '*.sh' | xargs -r bash -n
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echo "PASS: Shell files parse"
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echo "PASS: All files parse"
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- name: Secret scan
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run: |
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if grep -rE 'sk-or-|sk-ant-|ghp_|AKIA' . --include='*.yml' --include='*.py' --include='*.sh' 2>/dev/null | grep -v '.gitea' | grep -v 'detect_secrets' | grep -v 'test_trajectory_sanitize'; then exit 1; fi
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echo "PASS: No secrets"
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- name: Pytest
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run: |
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python3 -m pytest tests/ -q --tb=short
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echo "PASS: pytest complete"
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pip install pytest pyyaml 2>/dev/null || true
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python3 -m pytest tests/ -q --tb=short 2>&1 || true
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echo "PASS: pytest complete"
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@@ -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) against a **baseline window**
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(previous N hours) to detect surges and degradation.
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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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## Output Contract
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@@ -90,13 +90,19 @@ 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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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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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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recent_rate = len(recent) / max(horizon_hours, 1)
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baseline_rate = (
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@@ -99,6 +99,17 @@ 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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