time_series_db.md

time series db

Language: Python · Sphere: programming · Category: Monitoring

Signature: (values: List[float]) → float

What it does

In-memory time-series database module with support for insertion, querying, aggregation, and downsampling.

Guarantee

When it runs, time series db guarantees db.aggregate('temperature', base, base + 99, sum_func) == 2450; db.aggregate('temperature', base, base + 99, avg_func) == 24.5; db.aggregate('temperature', base, base + 99, max_func) == 29 (proven by run).

Checkable constraints:

• [p.value for p in pts] == [20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
• [p.timestamp for p in pts] == [base + 90 + k for k in range(10)]
• db.aggregate('temperature', base, base + 99, sum_func) == 2450
• db.aggregate('temperature', base, base + 99, avg_func) == 24.5
• db.aggregate('temperature', base, base + 99, max_func) == 29
• db.aggregate('temperature', base, base + 99, min_func) == 20
• len(buckets) == 10
• all((b.value == 24.5 for b in buckets))

Verification evidence

• Green-run: ✓ passes (re-run under the extractor's gate)
• Constraint strength: recovery (truth-pinned)
• Independent oracle: — none yet (green-run candidate; not an axiom under the frozen ruler)
• Peer review: unreviewed

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