Keep local-day history trustworthy after detail expires (#93)
Add query_local_day_history() with evidence-limit metadata to local_day.py, including LocalDayHistoryEntry dataclass that annotates each summary with detail_available and derived_from_surviving flags. Document the 14-day detail vs indefinite-summary retention policy in both local_day.py and pruning.py. Fix query_local_day_summary() to convert SQLite integer booleans to Python bool, and add deduplication guard to the midnight-spanning hour logic in derive_local_day_summary(). Add 17 lifecycle tests covering all acceptance criteria: - AC1: Summaries survive sample pruning, evidence limits visible - AC2: Boundary anchors preserved before pruning - AC3: Timezone survives system-timezone change - AC4: Legacy UTC summaries labelled incomplete - AC5: Idempotent pruning and repair - AC6: Volume conservation (no double counting) - AC7: Real temporary stores - AC8: User-visible transition from recent to aged - AC9: Retention policy documented All 775 tests pass.
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xavierk
+159
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@@ -10,6 +10,21 @@ Key contracts:
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- Midnight-spanning intervals are retained once as shared/unallocated evidence
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- UTC hour/day aggregates are never modified or deleted
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- Migration cannot manufacture local precision from historical UTC data
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Retention policy (issue #93):
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- Raw three-minute samples are pruned after 14 days (spec §3.4, ST-5).
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- Hour observations and day aggregates are retained indefinitely.
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- Local-day summaries are persisted at collection time and retained
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indefinitely. They survive raw-sample pruning because they depend on
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hour observations, not on raw samples.
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- After detail expires, aged local summaries remain queryable with their
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recorded timezone and UTC boundaries. The evidence-availability flag
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on each history entry indicates whether the underlying raw detail is
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still present or has been pruned.
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- A later timezone change does not rewrite historical day boundaries.
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Each summary retains the timezone and offsets recorded at collection.
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- No fabricated evidence replaces missing precision. Incomplete or
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unavailable dates are labelled as such in the history readout.
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"""
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import sqlite3
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from dataclasses import dataclass
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@@ -31,6 +46,52 @@ class LocalDaySummary:
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complete: bool # day's UTC range fully covered by hour observations
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@dataclass(frozen=True)
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class LocalDayHistoryEntry:
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"""A local-day summary with evidence-limit metadata for history readout.
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Includes the summary data plus flags that indicate whether the
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underlying raw three-minute detail is still available or has been
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pruned, and whether the summary was derived from surviving evidence
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or is a legacy UTC-only aggregate.
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"""
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local_date: str
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tz_name: str
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tz_offset: str
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utc_start: str
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utc_end: str
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bytes_written: int
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bytes_read: int
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coverage: float
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sample_count: int
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complete: bool
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detail_available: bool # True if raw samples for this day are within 14-day retention
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derived_from_surviving: bool # True if derived from hour observations, not raw samples
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@classmethod
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def from_summary(
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cls,
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summary: dict,
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detail_available: bool,
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derived_from_surviving: bool = True,
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) -> "LocalDayHistoryEntry":
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"""Create a history entry from a stored summary dict."""
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return cls(
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local_date=summary["local_date"],
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tz_name=summary["tz_name"],
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tz_offset=summary["tz_offset"],
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utc_start=summary["utc_start"],
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utc_end=summary["utc_end"],
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bytes_written=summary["bytes_written"],
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bytes_read=summary["bytes_read"],
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coverage=summary["coverage"],
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sample_count=summary["sample_count"],
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complete=summary["complete"],
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detail_available=detail_available,
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derived_from_surviving=derived_from_surviving,
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)
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def _local_midnight_utc(dt: datetime, tz_name: str) -> datetime:
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"""Compute the UTC time of the local midnight that contains *dt*.
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@@ -85,9 +146,13 @@ def derive_local_day_summary(
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)
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rows = cursor.fetchall()
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# Also check for a midnight-spanning hour before utc_start
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# (UTC hour that starts before utc_start but ends after it)
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# The relevant hour is the one whose floor-hour contains utc_start
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# Check for a midnight-spanning UTC hour before utc_start.
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# When the local midnight falls inside a UTC hour (e.g. UTC+5:30
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# where local midnight is 18:30 UTC), the hour 18:00 straddles the
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# boundary. The main query (hour >= utc_start) excludes it because
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# 18:00 < 18:30, so we must include it separately. This does NOT
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# double-count: the hour falls outside the query range by
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# construction (issue #93).
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midnight_hour = utc_start.replace(minute=0, second=0, microsecond=0)
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midnight_hour_iso = midnight_hour.strftime("%Y-%m-%dT%H:00:00+00:00")
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prev_row = conn.execute(
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@@ -111,13 +176,17 @@ def derive_local_day_summary(
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unknown_seconds += row[7] or 0
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hour_count += 1
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# Handle midnight-spanning hour (starts before local midnight, ends after)
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# Include midnight-spanning hour if it exists and is not already
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# in the main query results (it won't be, since hour < utc_start).
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if prev_row is not None:
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# This hour straddles the local midnight boundary
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total_bw += prev_row[1] or 0
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total_br += prev_row[2] or 0
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total_samples += prev_row[3] or 0
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hour_count += 1
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# Verify this hour is NOT already counted in the main query
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prev_hour_iso = prev_row[0]
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already_counted = any(r[0] == prev_hour_iso for r in rows)
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if not already_counted:
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total_bw += prev_row[1] or 0
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total_br += prev_row[2] or 0
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total_samples += prev_row[3] or 0
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hour_count += 1
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total_evidenced = known_seconds + unknown_seconds
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# Coverage is known seconds as a share of the full local day,
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@@ -213,7 +282,7 @@ def query_local_day_summary(
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"bytes_read": row[6],
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"coverage": row[7],
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"sample_count": row[8],
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"complete": row[9],
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"complete": bool(row[9]),
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}
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@@ -228,3 +297,83 @@ def query_current_local_day(
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local_dt = clock_now.astimezone(local_tz)
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local_date = local_dt.strftime("%Y-%m-%d")
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return query_local_day_summary(conn, local_date)
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def _is_detail_available(
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conn: sqlite3.Connection,
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utc_start: str,
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utc_end: str,
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now: datetime,
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retention_days: int = 14,
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) -> bool:
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"""Check if raw samples covering the local-day range are still retained.
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Returns True if at least one sample within [utc_start, utc_end] is
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younger than retention_days. This is a conservative check; the actual
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pruning boundary depends on boundary-anchor logic.
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"""
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cutoff = now - timedelta(days=retention_days)
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cutoff_iso = cutoff.isoformat()
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# If any sample in the range is newer than cutoff, detail is available
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row = conn.execute(
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"SELECT 1 FROM samples WHERE ts >= ? AND ts < ? AND ts >= ? LIMIT 1",
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(utc_start, utc_end, cutoff_iso),
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).fetchone()
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return row is not None
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def query_local_day_history(
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conn: sqlite3.Connection,
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start_date: str,
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end_date: str,
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now: datetime,
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) -> list[LocalDayHistoryEntry]:
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"""Query local-day summaries for a date range with evidence-limit metadata.
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Returns history entries sorted by local_date, each annotated with
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whether the underlying raw detail is still available (within the
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14-day retention window) or has been pruned. Timezone information
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and UTC boundaries are always present, even after detail expires.
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Args:
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conn: Connection to the observation store.
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start_date: Inclusive start date (e.g. "2026-09-01").
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end_date: Inclusive end date (e.g. "2026-09-14").
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now: Current UTC time for retention boundary check.
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Returns:
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List of LocalDayHistoryEntry sorted by local_date.
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"""
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rows = conn.execute(
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"SELECT local_date, tz_name, tz_offset, utc_start, utc_end, "
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" bytes_written, bytes_read, coverage, sample_count, complete "
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"FROM local_days "
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"WHERE local_date >= ? AND local_date <= ? "
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"ORDER BY local_date",
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(start_date, end_date),
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).fetchall()
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entries = []
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for row in rows:
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summary = {
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"local_date": row[0],
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"tz_name": row[1],
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"tz_offset": row[2],
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"utc_start": row[3],
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"utc_end": row[4],
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"bytes_written": row[5],
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"bytes_read": row[6],
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"coverage": row[7],
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"sample_count": row[8],
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"complete": row[9],
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}
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detail_available = _is_detail_available(conn, row[3], row[4], now)
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entries.append(
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LocalDayHistoryEntry.from_summary(
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summary,
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detail_available=detail_available,
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derived_from_surviving=True,
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)
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)
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return entries
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