10 Commits
Author SHA1 Message Date
xavierk 8bac26836a Release Fenris 0.4.0
Release / release (push) Successful in 1m16s
2026-09-18 23:12:14 +05:30
xavierk 88672e12bf test: add edge-case tests for issue #72 acceptance criteria 2026-09-18 17:18:22 +05:30
xavierk cfd71a053b fix: store cross-midnight unattributed bytes once, not twice
The _add_unattributed_bytes function was adding the same cross-hour
delta to both days when the interval spanned midnight, violating the
spec requirement to preserve measured volume once as shared boundary
evidence.

Store the unattributed bytes only on the day where the interval starts
(the earlier day). This ensures the total across both days equals the
actual delta without duplication.

Closes #88 (cross-day delta duplication portion)
2026-09-18 16:54:17 +05:30
xavierk b76067104b feat(projection): add complete observation day gate (issue #94) 2026-09-18 15:23:59 +05:30
xavierk 95cca2e115 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.
2026-09-18 14:27:44 +05:30
xavierkandCommandCodeBot 5df8a12339 Browse activity dates from the keyboard (#92)
Add keyboard-driven date navigation to the TUI:
- [ and ] keys select previous/next day, adjusting the visible range
- g opens a date entry modal for direct date navigation
- t returns to today's live view from any historical browsing
- Background refresh preserves the browsed selection
- Local-day widget shows data for the selected date
- Updated help screen and action legend with new bindings
- DatePickerScreen modal with input validation
- 24 headless tests covering navigation, date entry, browse
  stability, local-day evidence, and constrained widths

Co-authored-by: CommandCodeBot <noreply@commandcode.ai>
2026-09-18 14:17:02 +05:30
xavierk e12f4a574c Plot live drive activity every three minutes (#91)
- Change default collection cadence from 5 minutes to 3 minutes
  (CADENCE_DEFAULT_S=180, systemd OnUnitInactiveSec=3min,
  runit CADENCE=180)
- Update freshness threshold to 450s (2×180 + AccuracySec + 60)
- Add _query_live_graph_data(): queries raw samples from the last
  3 hours and computes interval byte deltas with actual timestamps
- Add LiveActivityGraph widget: vertical bar chart of interval
  volumes with read/write toggle (w key), arrow key inspection,
  and click support
- Wire live graph into TUI layout (full-width row between daily
  graph and drive health), refresh cycle, and CSS grid
- Replace t theme binding with t today/live binding; theme
  selection via preferences file
- Add w binding for read/write toggle on live graph
- Update action legend, help screen, and grid layout for new
  live-activity row
- Add 20 tests covering cadence constants, live query, widget
  rendering, toggle, and TUI integration
- Update all cadence documentation (README, ADR 0003, acceptance
  criteria LC-2, fenris-redesign constants table, CHANGELOG)
2026-09-18 13:17:18 +05:30
xavierk 4f884b4b73 Show trustworthy local-day activity totals (#90)
Add local-day activity summaries derived from UTC hour observations using
the system timezone, with durable storage in a new local_days table.
The collector derives local-day read/write totals after UTC aggregation;
the TUI displays them with timezone, completeness state, and coverage.

Schema: bump SCHEMA_VERSION to 3, add local_days table (migration 2→3
is pure addition, idempotent, preserves newer-schema refusal).
2026-09-18 12:28:23 +05:30
xavierk 366c2f55b7 Publish consistent measured drive activity (#89)
Repair the collection-to-display path so each successful acquisition
publishes correct read/write deltas through the observation store and
visible dashboard.

Fixes:
- derive.py: accumulate bytes_read_delta on same-hour hour_observation
  merge (was silently dropped)
- collector.py: rebuild day_aggregates from hour observations after
  each collection run (previously only populated for cross-hour intervals)
- day_aggregate.py: add persist_day_aggregate upsert helper
- tui.py: query and display both read and write deltas in daily and
  hourly readouts, constrained summaries, and graph data queries

Tests:
- Add 14 integration tests (test_measured_activity.py) exercising the
  full collector→store→reader→display path with real fixtures and
  injected time
- Update constrained-layout assertion to match new W/R format

Closes #89
2026-09-17 17:43:31 +05:30
xavierk 54cd56e4ec Fix XBPS repository setup instructions 2026-09-16 09:48:06 +05:30
40 changed files with 4821 additions and 144 deletions
+19 -1
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@@ -9,11 +9,29 @@ backfill releases from before this changelog.
## [Unreleased]
## [0.4.0] - 2026-09-18
### Added
- Show local-day read and write totals with their recorded timezone, labelled as totals so far for the current day.
- Open the dashboard on a live three-hour written-volume graph with a read/write toggle and selected-point inspection.
- Browse history by day from the keyboard with `[`, `]`, `g` date entry, and `t` for today and the live view.
### Changed
- Collect every three minutes on systemd and runit, plot live points at their actual timestamps, and retain three-minute detail for 14 days before durable summaries.
- Withhold the endurance outlook until one full local observation day has usable evidence, then show it with categorical confidence.
### Fixed
- Keep midnight-spanning activity once as shared boundary evidence instead of adding it to both days.
- Publish derived hour and day history consistently with each collection run.
## [0.3.7] - 2026-09-16
### Changed
- Make usage-history axes, units, UTC boundaries, active 7/14/30/90-day window, gaps, partial periods, stacked write attribution, and hourly drill-down explicit; keep live graph data refreshed on the existing five-minute cadence.
- Make usage-history axes, units, UTC boundaries, active 7/14/30/90-day window, gaps, partial periods, stacked write attribution, and hourly drill-down explicit; keep live graph data refreshed on the current three-minute cadence.
## [0.3.6] - 2026-09-16
+2 -2
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@@ -211,7 +211,7 @@ Uninstall performs the sanctioned disable first (`fenris-monitor disable --now`)
## Cadence drop-ins
The default collection cadence is **5 minutes** (`OnUnitInactiveSec=5min` in the timer unit). To change it, place a systemd drop-in:
The default collection cadence is **3 minutes** (`OnUnitInactiveSec=3min` in the timer unit). To change it, place a systemd drop-in:
```bash
sudo systemctl edit fenris-collect.timer
@@ -223,7 +223,7 @@ sudo systemctl edit fenris-collect.timer
No interval key exists in `/etc/fenris/fenris.conf`. Cadence is a systemd concern, not a Fenris configuration key.
On Void, Fenris uses its native runit service instead: its initial collection
is delayed by two minutes and later collections run five minutes after the
is delayed by two minutes and later collections run three minutes after the
previous run finishes. Inspect its state and diagnostics with:
```bash
@@ -13,7 +13,7 @@ Fenris's current single process combines daemonization, a PID file, an HTTP dash
## Decision
1. **Units.** Two system units only: `fenris-collect.timer` (`WantedBy=timers.target`) and `fenris-collect.service` (`Type=oneshot`, root, `ExecStart=/usr/libexec/fenris/fenris-collect`; no listener, no UI code). The TUI and CLI are ordinary unprivileged processes and never units. There is no `/run/fenris` coordination surface: systemd serializes runs, the observation store holds state, and failures go to the journal per [ADR 0001](0001-observation-store-sqlite.md).
2. **Cadence.** Default five minutes: `OnBootSec=2min`, `OnUnitInactiveSec=5min` (measured from run completion; drift accepted because hours are the evidence grain), `AccuracySec=30s`, `Persistent=no`, no suspend catch-up (absent hours classify through power-on-hours evidence), `TimeoutStartSec=90s` so a hung interrogation fails visibly. Cadence changes are documented drop-ins on the timer unit (`systemctl edit` + daemon-reload); no interval key exists in configuration.
2. **Cadence.** Default three minutes: `OnBootSec=2min`, `OnUnitInactiveSec=3min` (measured from run completion; drift accepted because hours are the evidence grain), `AccuracySec=30s`, `Persistent=no`, no suspend catch-up (absent hours classify through power-on-hours evidence), `TimeoutStartSec=90s` so a hung interrogation fails visibly. Cadence changes are documented drop-ins on the timer unit (`systemctl edit` + daemon-reload); no interval key exists in configuration.
3. **Configuration.** `/etc/fenris/fenris.conf` holds exactly one key: the device selector, a stable `/dev/disk/by-id/…` path (raw nodes accepted with an instability warning), validated at collection time. The oneshot re-reads it every run, so there is no reload path to design. An invalid selector is a bounded failed run — journal plus failed unit result, retried next interval; `status` and the TUI also read the world-readable file directly and surface a `configuration error: <reason>` fact.
4. **Entry points.** Two privileged binaries: `/usr/libexec/fenris/fenris-collect` (device interrogation and store writes; the unit's `ExecStart`) and `/usr/libexec/fenris/fenris-monitor` (fixed operations `enable` and `disable` with optional `--now`, plus the collect trigger, monitoring-period bookkeeping, and `baseline set`/`baseline clear` persistence for the CLI-validated endurance baseline; the only binary the polkit policy authorizes). One unprivileged `fenris` for humans: no arguments opens the TUI; subcommands (`status`, `sample`, `monitor pause`, `monitor resume`) are the CLI.
5. **Sanctioned toggle.** Pause = `disable --now`; Resume = `enable --now`; both executed by `fenris-monitor`, which performs the systemctl operation and the monitoring-period bookkeeping in one step, under polkit action `com.bongbetic.fenris.monitor` (`auth_admin`, covering the collect trigger too). Root invokes the helpers directly; where no polkit agent exists the operation fails cleanly and prints the root equivalent. This amends the research's direct-systemctl toggle: a period boundary cannot be recorded by systemctl, so the toggle must be Fenris's own fixed operation.
+1 -1
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@@ -49,7 +49,7 @@ Status: Accepted — resolves [Define cross-cutting acceptance criteria](https:/
## Collector lifecycle and privilege boundaries (ADR 0003)
- **LC-1** (P) Exactly two system units exist — `fenris-collect.timer` (`timers.target`) and `fenris-collect.service` (`Type=oneshot`, root, `ExecStart=/usr/libexec/fenris/fenris-collect`); the TUI and CLI are ordinary unprivileged processes and never units.
- **LC-2** (P) Timer defaults ship as `OnBootSec=2min`, `OnUnitInactiveSec=5min`, `AccuracySec=30s`, `Persistent=no`, `TimeoutStartSec=90s`; cadence changes are documented drop-ins and no interval key exists in configuration.
- **LC-2** (P) Timer defaults ship as `OnBootSec=2min`, `OnUnitInactiveSec=3min`, `AccuracySec=30s`, `Persistent=no`, `TimeoutStartSec=90s`; cadence changes are documented drop-ins and no interval key exists in configuration.
- **LC-3** (P) A hung device interrogation fails visibly within `TimeoutStartSec=90s` as a bounded failed run retried next interval.
- **LC-4** (A/P) `/etc/fenris/fenris.conf` holds exactly the device selector (stable `/dev/disk/by-id/…` path; raw nodes warned), re-read every run; an invalid selector is a bounded failed run surfaced as `configuration error: <reason>` in `status` and the TUI.
- **LC-5** (P) Two privileged binaries ship at `/usr/libexec/fenris/fenris-collect` and `/usr/libexec/fenris/fenris-monitor`; the unprivileged `fenris` wrapper opens the TUI with no arguments.
+2 -2
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@@ -16,7 +16,7 @@ Every constant is defined once, in the section named below; other sections cite,
| Constant | Value | Defined in |
|---|---|---|
| Collection cadence (default) | 5 min (`OnUnitInactiveSec`) | §8.2 |
| Collection cadence (default) | 3 min (`OnUnitInactiveSec`) | §8.2 |
| First-boot delay | 2 min (`OnBootSec`) | §8.2 |
| Timer accuracy window | 30 s (`AccuracySec`) | §8.2 |
| Collection-run timeout | 90 s (`TimeoutStartSec`) | §8.2 |
@@ -479,7 +479,7 @@ Two privileged binaries — `/usr/libexec/fenris/fenris-collect` (device interro
Constants defined once, consumed by TUI and CLI alike; the grade derives from the **newest sample timestamp**, never a stored flag:
- **fresh** — newest sample within 2 × cadence + `AccuracySec` + 60 s (11.5 min at default cadence);
- **fresh** — newest sample within 2 × cadence + `AccuracySec` + 60 s (7.5 min at default cadence);
- **missed** — between that and 48 h (a contributing fact);
- **stale** — ≥ 48 h, matching the §6.7 evidence gate;
- **empty store** — *"no observations yet"* with an enable hint.
+2 -2
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@@ -130,9 +130,9 @@ Users add the repository to `/etc/xbps.d/xbps.conf`:
repository=https://git.bongbetic.com/xavierk/Fenris-xbps/raw/branch/stable/x86_64
```
Or install directly:
Or make a one-off request without writing the configuration file:
```sh
sudo xbps-install -S https://git.bongbetic.com/xavierk/Fenris-xbps/raw/branch/stable/x86_64
sudo xbps-install -R https://git.bongbetic.com/xavierk/Fenris-xbps/raw/branch/stable/x86_64 -M -S fenris
```
## Publication Mechanism
+4 -1
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@@ -12,7 +12,10 @@ sudo xbps-install fenris # Void Linux
For Void Linux, configure the XBPS repository first:
```bash
sudo xbps-install -S https://git.bongbetic.com/xavierk/Fenris-xbps/raw/branch/stable/x86_64
sudo install -d -m 0755 /etc/xbps.d
echo 'repository=https://git.bongbetic.com/xavierk/Fenris-xbps/raw/branch/stable/x86_64' \
| sudo tee /etc/xbps.d/fenris.conf
sudo xbps-install -M -S fenris
```
## Verify downloads
+1 -1
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@@ -1,6 +1,6 @@
[project]
name = "fenris"
version = "0.3.7"
version = "0.4.0"
description = "NVMe wear monitor with persistent TUI"
requires-python = ">=3.10"
license = {file = "LICENSE"}
+2 -1
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@@ -201,7 +201,8 @@ echo " Branch: ${GITEA_BRANCH}"
echo " Repository URL: https://git.bongbetic.com/${GITEA_OWNER}/${GITEA_REPO}/raw/branch/${GITEA_BRANCH}/${ARCH}"
echo ""
echo "Client installation:"
echo " sudo xbps-install -S https://git.bongbetic.com/${GITEA_OWNER}/${GITEA_REPO}/raw/branch/${GITEA_BRANCH}/${ARCH}"
echo " echo 'repository=https://git.bongbetic.com/${GITEA_OWNER}/${GITEA_REPO}/raw/branch/${GITEA_BRANCH}/${ARCH}' | sudo tee /etc/xbps.d/fenris.conf"
echo " sudo xbps-install -M -S fenris"
echo ""
echo "Key ceremony: delete the private key after publication."
echo " See docs/install/signing-key-ceremony.md"
+1 -1
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@@ -1,2 +1,2 @@
"""Fenris: NVMe wear monitor with persistent TUI."""
__version__ = "0.3.7"
__version__ = "0.4.0"
+20
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@@ -340,6 +340,26 @@ def run_collection(
"data_units_read": sample["data_units_read"],
}
derive_hours_from_interval(conn, prev, current)
# Rebuild day aggregates from hour observations
from .day_aggregate import derive_all_days, persist_day_aggregate
for agg in derive_all_days(conn):
persist_day_aggregate(conn, agg)
# Derive local-day summary using system timezone (issue #90)
try:
from .tz_util import detect_system_tz
from .local_day import derive_local_day_summary, persist_local_day
tz_name = detect_system_tz()
clock_now = clock.utcnow()
local_summary = derive_local_day_summary(conn, tz_name, clock_now)
if local_summary is not None:
persist_local_day(conn, local_summary)
except Exception:
# Local-day derivation failure must not prevent publication
pass
conn.commit()
except Exception:
# Derivation failure must not prevent sample persistence (issue #73 AC6)
pass
+38
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@@ -163,3 +163,41 @@ def derive_all_days(conn: sqlite3.Connection) -> list[DayAggregate]:
if agg is not None:
results.append(agg)
return results
def persist_day_aggregate(conn: sqlite3.Connection, agg: DayAggregate) -> None:
"""Upsert a derived day aggregate into the day_aggregates table.
Merges attributed bytes from hour observations with any existing
unattributed cross-hour evidence already stored for this day.
Caller must manage transactions and commits.
"""
existing = conn.execute(
"SELECT id FROM day_aggregates WHERE day = ?",
(agg.day,),
).fetchone()
if existing is None:
conn.execute(
"INSERT INTO day_aggregates "
"(day, active_seconds, idle_seconds, powered_off_seconds, unknown_seconds, "
" bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(agg.day, agg.seconds_active, agg.seconds_idle,
agg.seconds_powered_off, agg.seconds_unknown,
agg.bytes_written_delta, agg.bytes_read_delta,
agg.sample_count, agg.coverage),
)
else:
conn.execute(
"UPDATE day_aggregates "
"SET active_seconds = ?, idle_seconds = ?, powered_off_seconds = ?, "
" unknown_seconds = ?, bytes_written_delta = ?, bytes_read_delta = ?, "
" sample_count = ?, coverage = ? "
"WHERE id = ?",
(agg.seconds_active, agg.seconds_idle,
agg.seconds_powered_off, agg.seconds_unknown,
agg.bytes_written_delta, agg.bytes_read_delta,
agg.sample_count, agg.coverage,
existing[0]),
)
+31 -24
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@@ -175,7 +175,8 @@ def _upsert_hour_observation(
"""Insert or update an hour observation."""
# Check if hour exists
existing = conn.execute(
"SELECT id, bytes_written_delta, sample_count FROM hour_observations WHERE hour = ?",
"SELECT id, bytes_written_delta, bytes_read_delta, sample_count "
"FROM hour_observations WHERE hour = ?",
(hour_key,),
).fetchone()
@@ -198,10 +199,13 @@ def _upsert_hour_observation(
else:
# Merge: accumulate bytes and sample count
new_bw = existing[1] + bw_delta
new_samples = existing[2] + sample_count
new_br = existing[2] + br_delta
new_samples = existing[3] + sample_count
conn.execute(
"UPDATE hour_observations SET bytes_written_delta = ?, sample_count = ? WHERE id = ?",
(new_bw, new_samples, existing[0]),
"UPDATE hour_observations "
"SET bytes_written_delta = ?, bytes_read_delta = ?, sample_count = ? "
"WHERE id = ?",
(new_bw, new_br, new_samples, existing[0]),
)
conn.commit()
@@ -213,25 +217,28 @@ def _add_unattributed_bytes(
bw_delta: int,
br_delta: int,
) -> None:
"""Add unattributed byte deltas to day aggregates for each day touched."""
prev_day = prev_ts.strftime("%Y-%m-%d")
next_day = next_ts.strftime("%Y-%m-%d")
"""Store unattributed byte deltas once as shared boundary evidence.
days = {prev_day, next_day}
for day in days:
existing = conn.execute(
"SELECT id FROM day_aggregates WHERE day = ?", (day,)
).fetchone()
if existing is None:
conn.execute(
"INSERT INTO day_aggregates (day, unattributed_bytes_written, unattributed_bytes_read) "
"VALUES (?, ?, ?)",
(day, bw_delta, br_delta),
)
else:
conn.execute(
"UPDATE day_aggregates SET unattributed_bytes_written = unattributed_bytes_written + ?, "
"unattributed_bytes_read = unattributed_bytes_read + ? WHERE day = ?",
(bw_delta, br_delta, day),
)
A cross-midnight interval's delta is preserved on the day where it
STARTS (the earlier day). It is not duplicated into both days;
the spec requires preserving the measured volume once as shared
unallocated boundary evidence (issue #88).
"""
day = prev_ts.strftime("%Y-%m-%d")
existing = conn.execute(
"SELECT id FROM day_aggregates WHERE day = ?", (day,)
).fetchone()
if existing is None:
conn.execute(
"INSERT INTO day_aggregates (day, unattributed_bytes_written, unattributed_bytes_read) "
"VALUES (?, ?, ?)",
(day, bw_delta, br_delta),
)
else:
conn.execute(
"UPDATE day_aggregates SET unattributed_bytes_written = unattributed_bytes_written + ?, "
"unattributed_bytes_read = unattributed_bytes_read + ? WHERE day = ?",
(bw_delta, br_delta, day),
)
conn.commit()
+2 -2
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@@ -10,13 +10,13 @@ responsibility shared by the privileged control path and read-only status
composition.
Runit service layout:
/etc/sv/fenris-collect/run — scheduler (sleep 120; loop { collect; sleep 300 })
/etc/sv/fenris-collect/run — scheduler (sleep 120; loop { collect; sleep 180 })
/etc/sv/fenris-collect/log/run — logger to /var/log/fenris-collect/
/var/service/fenris-collect — symlink to enable
/etc/sv/fenris-collect/down — marker for dormant install
Runit guarantees:
- Completion-relative 5-minute cadence (sleep 300 after each collect)
- Completion-relative 3-minute cadence (sleep 180 after each collect)
- Initial 2-minute boot delay (sleep 120 before first collect)
- Bounded execution (90s timeout via timeout(1))
- No catch-up (service sleeps fixed interval, no Persistent= flag)
+379
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@@ -0,0 +1,379 @@
"""Local-day activity derivation from UTC hour observations.
Computes durable local-day read/write summaries using the actual local
midnight boundaries, retaining UTC hour/day aggregates for endurance
projections. The collector owns this derivation, preserving the
existing read-only TUI boundary (ADR 0010).
Key contracts:
- An interval wholly attributable to a local day contributes its volume once
- Midnight-spanning intervals are retained once as shared/unallocated evidence
- UTC hour/day aggregates are never modified or deleted
- Migration cannot manufacture local precision from historical UTC data
Retention policy (issue #93):
- Raw three-minute samples are pruned after 14 days (spec §3.4, ST-5).
- Hour observations and day aggregates are retained indefinitely.
- Local-day summaries are persisted at collection time and retained
indefinitely. They survive raw-sample pruning because they depend on
hour observations, not on raw samples.
- After detail expires, aged local summaries remain queryable with their
recorded timezone and UTC boundaries. The evidence-availability flag
on each history entry indicates whether the underlying raw detail is
still present or has been pruned.
- A later timezone change does not rewrite historical day boundaries.
Each summary retains the timezone and offsets recorded at collection.
- No fabricated evidence replaces missing precision. Incomplete or
unavailable dates are labelled as such in the history readout.
"""
import sqlite3
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
@dataclass(frozen=True)
class LocalDaySummary:
"""One local day's aggregated read/write volumes."""
local_date: str # e.g. "2026-09-01"
tz_name: str # e.g. "Asia/Kolkata"
tz_offset: str # e.g. "+05:30"
utc_start: str # ISO 8601 UTC: the local midnight that starts this day
utc_end: str # ISO 8601 UTC: the local midnight that ends this day
bytes_written: int
bytes_read: int
coverage: float # known / (known + unknown) in UTC hours
sample_count: int
complete: bool # day's UTC range fully covered by hour observations
@dataclass(frozen=True)
class LocalDayHistoryEntry:
"""A local-day summary with evidence-limit metadata for history readout.
Includes the summary data plus flags that indicate whether the
underlying raw three-minute detail is still available or has been
pruned, and whether the summary was derived from surviving evidence
or is a legacy UTC-only aggregate.
"""
local_date: str
tz_name: str
tz_offset: str
utc_start: str
utc_end: str
bytes_written: int
bytes_read: int
coverage: float
sample_count: int
complete: bool
detail_available: bool # True if raw samples for this day are within 14-day retention
derived_from_surviving: bool # True if derived from hour observations, not raw samples
@classmethod
def from_summary(
cls,
summary: dict,
detail_available: bool,
derived_from_surviving: bool = True,
) -> "LocalDayHistoryEntry":
"""Create a history entry from a stored summary dict."""
return cls(
local_date=summary["local_date"],
tz_name=summary["tz_name"],
tz_offset=summary["tz_offset"],
utc_start=summary["utc_start"],
utc_end=summary["utc_end"],
bytes_written=summary["bytes_written"],
bytes_read=summary["bytes_read"],
coverage=summary["coverage"],
sample_count=summary["sample_count"],
complete=summary["complete"],
detail_available=detail_available,
derived_from_surviving=derived_from_surviving,
)
def _local_midnight_utc(dt: datetime, tz_name: str) -> datetime:
"""Compute the UTC time of the local midnight that contains *dt*.
Returns the most recent local midnight in UTC. For example, if *dt*
is 2026-09-01T17:35:00+05:30 (i.e. 12:05 UTC) this returns
2026-08-31T18:30:00+00:00 (2026-09-01 00:00 in +05:30).
"""
from zoneinfo import ZoneInfo
local_tz = ZoneInfo(tz_name)
local_dt = dt.astimezone(local_tz)
local_midnight = local_dt.replace(hour=0, minute=0, second=0, microsecond=0)
return local_midnight.astimezone(timezone.utc)
def derive_local_day_summary(
conn: sqlite3.Connection,
tz_name: str,
clock_now: datetime,
) -> LocalDaySummary | None:
"""Derive a local-day summary from UTC hour observations.
Computes the UTC boundaries of the current local day, queries the
UTC hours overlapping that range, and aggregates read/write volumes.
Midnight-spanning hours are retained once as shared evidence.
Returns None if no hours exist for the local day.
"""
from zoneinfo import ZoneInfo
from .tz_util import get_tz_offset_str
local_tz = ZoneInfo(tz_name)
local_dt = clock_now.astimezone(local_tz)
local_date = local_dt.strftime("%Y-%m-%d")
tz_offset_str = get_tz_offset_str(clock_now, tz_name)
# UTC boundaries of this local day
utc_start = _local_midnight_utc(clock_now, tz_name)
next_local = local_dt + timedelta(days=1)
utc_end = next_local.replace(hour=0, minute=0, second=0, microsecond=0).astimezone(timezone.utc)
utc_start_iso = utc_start.isoformat()
utc_end_iso = utc_end.isoformat()
# Query UTC hours overlapping the local day
cursor = conn.execute(
"SELECT hour, bytes_written_delta, bytes_read_delta, sample_count, "
" active_seconds, idle_seconds, powered_off_seconds, unknown_seconds "
"FROM hour_observations "
"WHERE hour >= ? AND hour < ? "
"ORDER BY hour",
(utc_start_iso, utc_end_iso),
)
rows = cursor.fetchall()
# Check for a midnight-spanning UTC hour before utc_start.
# When the local midnight falls inside a UTC hour (e.g. UTC+5:30
# where local midnight is 18:30 UTC), the hour 18:00 straddles the
# boundary. The main query (hour >= utc_start) excludes it because
# 18:00 < 18:30, so we must include it separately. This does NOT
# double-count: the hour falls outside the query range by
# construction (issue #93).
midnight_hour = utc_start.replace(minute=0, second=0, microsecond=0)
midnight_hour_iso = midnight_hour.strftime("%Y-%m-%dT%H:00:00+00:00")
prev_row = conn.execute(
"SELECT hour, bytes_written_delta, bytes_read_delta, sample_count "
"FROM hour_observations WHERE hour = ?",
(midnight_hour_iso,),
).fetchone()
total_bw = 0
total_br = 0
total_samples = 0
known_seconds = 0
unknown_seconds = 0
hour_count = 0
for row in rows:
total_bw += row[1] or 0
total_br += row[2] or 0
total_samples += row[3] or 0
known_seconds += (row[4] or 0) + (row[5] or 0) + (row[6] or 0)
unknown_seconds += row[7] or 0
hour_count += 1
# Include midnight-spanning hour if it exists and is not already
# in the main query results (it won't be, since hour < utc_start).
if prev_row is not None:
# Verify this hour is NOT already counted in the main query
prev_hour_iso = prev_row[0]
already_counted = any(r[0] == prev_hour_iso for r in rows)
if not already_counted:
total_bw += prev_row[1] or 0
total_br += prev_row[2] or 0
total_samples += prev_row[3] or 0
hour_count += 1
total_evidenced = known_seconds + unknown_seconds
# Coverage is known seconds as a share of the full local day,
# not just the hours present — gaps reduce coverage
day_seconds = int((utc_end - utc_start).total_seconds())
coverage = known_seconds / day_seconds if day_seconds > 0 else 0.0
# Day is complete only if known (usable) seconds cover the full local day.
# Unknown seconds represent gaps without usable observation evidence.
complete = known_seconds >= day_seconds and hour_count > 0
# Return None if no hours exist for this local day
if hour_count == 0:
return None
return LocalDaySummary(
local_date=local_date,
tz_name=tz_name,
tz_offset=tz_offset_str,
utc_start=utc_start_iso,
utc_end=utc_end_iso,
bytes_written=total_bw,
bytes_read=total_br,
coverage=coverage,
sample_count=total_samples,
complete=complete,
)
def persist_local_day(
conn: sqlite3.Connection,
summary: LocalDaySummary,
) -> bool:
"""Upsert a local-day summary. Returns True if newly created."""
existing = conn.execute(
"SELECT id FROM local_days WHERE local_date = ? AND tz_name = ?",
(summary.local_date, summary.tz_name),
).fetchone()
if existing is None:
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(summary.local_date, summary.tz_name, summary.tz_offset,
summary.utc_start, summary.utc_end,
summary.bytes_written, summary.bytes_read,
summary.coverage, summary.sample_count, summary.complete),
)
created = True
else:
conn.execute(
"UPDATE local_days "
"SET tz_offset = ?, utc_start = ?, utc_end = ?, "
" bytes_written = ?, bytes_read = ?, "
" coverage = ?, sample_count = ?, complete = ? "
"WHERE id = ?",
(summary.tz_offset, summary.utc_start, summary.utc_end,
summary.bytes_written, summary.bytes_read,
summary.coverage, summary.sample_count, summary.complete,
existing[0]),
)
created = False
# Caller manages transactions (collector commits once after all derivation)
return created
def query_local_day_summary(
conn: sqlite3.Connection,
local_date: str,
) -> dict | None:
"""Query a stored local-day summary by date.
Returns a dict with the summary fields, or None if no entry exists.
"""
row = conn.execute(
"SELECT local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete "
"FROM local_days WHERE local_date = ? "
"ORDER BY id DESC LIMIT 1",
(local_date,),
).fetchone()
if row is None:
return None
return {
"local_date": row[0],
"tz_name": row[1],
"tz_offset": row[2],
"utc_start": row[3],
"utc_end": row[4],
"bytes_written": row[5],
"bytes_read": row[6],
"coverage": row[7],
"sample_count": row[8],
"complete": bool(row[9]),
}
def query_current_local_day(
conn: sqlite3.Connection,
clock_now: datetime,
tz_name: str,
) -> dict | None:
"""Query the local-day summary for the current local date."""
from zoneinfo import ZoneInfo
local_tz = ZoneInfo(tz_name)
local_dt = clock_now.astimezone(local_tz)
local_date = local_dt.strftime("%Y-%m-%d")
return query_local_day_summary(conn, local_date)
def _is_detail_available(
conn: sqlite3.Connection,
utc_start: str,
utc_end: str,
now: datetime,
retention_days: int = 14,
) -> bool:
"""Check if raw samples covering the local-day range are still retained.
Returns True if at least one sample within [utc_start, utc_end] is
younger than retention_days. This is a conservative check; the actual
pruning boundary depends on boundary-anchor logic.
"""
cutoff = now - timedelta(days=retention_days)
cutoff_iso = cutoff.isoformat()
# If any sample in the range is newer than cutoff, detail is available
row = conn.execute(
"SELECT 1 FROM samples WHERE ts >= ? AND ts < ? AND ts >= ? LIMIT 1",
(utc_start, utc_end, cutoff_iso),
).fetchone()
return row is not None
def query_local_day_history(
conn: sqlite3.Connection,
start_date: str,
end_date: str,
now: datetime,
) -> list[LocalDayHistoryEntry]:
"""Query local-day summaries for a date range with evidence-limit metadata.
Returns history entries sorted by local_date, each annotated with
whether the underlying raw detail is still available (within the
14-day retention window) or has been pruned. Timezone information
and UTC boundaries are always present, even after detail expires.
Args:
conn: Connection to the observation store.
start_date: Inclusive start date (e.g. "2026-09-01").
end_date: Inclusive end date (e.g. "2026-09-14").
now: Current UTC time for retention boundary check.
Returns:
List of LocalDayHistoryEntry sorted by local_date.
"""
rows = conn.execute(
"SELECT local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete "
"FROM local_days "
"WHERE local_date >= ? AND local_date <= ? "
"ORDER BY local_date",
(start_date, end_date),
).fetchall()
entries = []
for row in rows:
summary = {
"local_date": row[0],
"tz_name": row[1],
"tz_offset": row[2],
"utc_start": row[3],
"utc_end": row[4],
"bytes_written": row[5],
"bytes_read": row[6],
"coverage": row[7],
"sample_count": row[8],
"complete": row[9],
}
detail_available = _is_detail_available(conn, row[3], row[4], now)
entries.append(
LocalDayHistoryEntry.from_summary(
summary,
detail_available=detail_available,
derived_from_surviving=True,
)
)
return entries
+49
View File
@@ -483,6 +483,31 @@ def _build_pu_context_line(conn, rate, days, clock_now):
return "Percentage Used: %d%%" % pu
# ---------------------------------------------------------------------------
# Complete observation day gate (issue #94)
# ---------------------------------------------------------------------------
def _has_complete_local_day(conn):
"""Check if at least one complete local observation day exists.
A complete local day is a full midnight-to-midnight calendar day
within a monitoring period that has usable observation evidence.
This is the prerequisite for showing an endurance outlook.
"""
row = conn.execute(
"SELECT 1 FROM local_days WHERE complete = 1 LIMIT 1"
).fetchone()
return row is not None
def _count_complete_local_days(conn):
"""Count the number of complete local observation days."""
row = conn.execute(
"SELECT COUNT(*) FROM local_days WHERE complete = 1"
).fetchone()
return row[0] if row else 0
# ---------------------------------------------------------------------------
# Main projection function
# ---------------------------------------------------------------------------
@@ -499,6 +524,30 @@ def compute_projection(conn, clock_now):
tier, baseline, baseline_label, baseline_facts = _resolve_baseline(conn, current_segment)
facts.extend(baseline_facts)
# --- Complete observation day gate (issue #94) ---
# An endurance outlook requires at least one complete local
# midnight-to-midnight calendar day with usable observation evidence.
has_complete_day = _has_complete_local_day(conn)
if not has_complete_day:
facts.append("waiting for a full local observation day")
return ProjectionResult(
confidence_state=ConfidenceState.UNSUPPORTED,
contributing_facts=facts,
headline_remaining_seconds=None,
scenario_range=None,
pu_context_line="Percentage Used: unknown" if _get_latest_pu(conn) is None else "Percentage Used: %d%%" % (_get_latest_pu(conn) or 0),
disclosure_text=list(DISCLOSURES),
baseline_tier=tier,
baseline_label=baseline_label,
regime_days=None,
habit_change_fact=None,
warming_fact=None,
staleness_fact=None,
degraded_identity_fact=None,
zero_rate_fact=None,
qualifying_days_progress=None,
)
segment_days = _get_days_in_segment(conn, current_segment["opened_at"]) if current_segment else _get_all_days(conn)
all_days = _get_all_days(conn)
+6
View File
@@ -3,6 +3,12 @@
Raw samples are pruned opportunistically to 14 days.
Hour observations and day aggregates are retained indefinitely.
Boundary anchors required for successor evidence are retained.
Local-day summaries (local_days table) are never touched by pruning.
They are persisted at collection time from hour observations and survive
raw-sample pruning because they depend on hour observations, not on raw
samples. This is the mechanism that keeps local-day history trustworthy
after detail expires (issue #93).
"""
import sqlite3
from datetime import datetime, timedelta, timezone
+2 -2
View File
@@ -35,9 +35,9 @@ from .init_system import (
# Freshness constants (§8.9, §8.2)
# ---------------------------------------------------------------------------
CADENCE_DEFAULT_S = 300 # 5 min
CADENCE_DEFAULT_S = 180 # 3 min
ACCURACY_SEC = 30
FRESH_THRESHOLD_S = 2 * CADENCE_DEFAULT_S + ACCURACY_SEC + 60 # 690 s
FRESH_THRESHOLD_S = 2 * CADENCE_DEFAULT_S + ACCURACY_SEC + 60 # 450 s
STALENESS_THRESHOLD_S = 48 * 3600 # 48 h
+46 -1
View File
@@ -12,7 +12,7 @@ from typing import Optional
# Schema version - increment on each migration
SCHEMA_VERSION = 2
SCHEMA_VERSION = 3
# Packaged default placement (spec §8.3). The config may override it, but a
@@ -193,6 +193,26 @@ def _create_schema(conn: sqlite3.Connection):
""")
# Local-day activity summaries derived from UTC hour observations.
# Each row retains its recorded timezone and UTC boundaries so that
# historical summaries survive a system-timezone change (ADR 0010).
conn.execute("""
CREATE TABLE IF NOT EXISTS local_days (
id INTEGER PRIMARY KEY AUTOINCREMENT,
local_date TEXT NOT NULL, -- e.g. "2026-09-01" in the recorded tz
tz_name TEXT NOT NULL, -- POSIX tz name, e.g. "Asia/Kolkata"
tz_offset TEXT NOT NULL, -- e.g. "+05:30"
utc_start TEXT NOT NULL, -- ISO 8601 UTC: local midnight start
utc_end TEXT NOT NULL, -- ISO 8601 UTC: local midnight end
bytes_written INTEGER DEFAULT 0,
bytes_read INTEGER DEFAULT 0,
coverage REAL DEFAULT 0.0,
sample_count INTEGER DEFAULT 0,
complete BOOLEAN DEFAULT 0,
UNIQUE(local_date, tz_name)
)
""")
# Metadata table for store state (e.g., legacy import marker)
conn.execute("""
CREATE TABLE IF NOT EXISTS store_metadata (
@@ -230,6 +250,31 @@ def _apply_migrations(conn: sqlite3.Connection, current_version: int):
conn.execute("ALTER TABLE day_aggregates ADD COLUMN unattributed_bytes_read INTEGER DEFAULT 0")
current_version = 2
# Migration 2→3: add local_days table for local-day activity totals
# (issue #90, ADR 0010). Pure addition — no existing rows touched.
if current_version < 3:
tables = {row[0] for row in conn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()}
if "local_days" not in tables:
conn.execute("""
CREATE TABLE IF NOT EXISTS local_days (
id INTEGER PRIMARY KEY AUTOINCREMENT,
local_date TEXT NOT NULL,
tz_name TEXT NOT NULL,
tz_offset TEXT NOT NULL,
utc_start TEXT NOT NULL,
utc_end TEXT NOT NULL,
bytes_written INTEGER DEFAULT 0,
bytes_read INTEGER DEFAULT 0,
coverage REAL DEFAULT 0.0,
sample_count INTEGER DEFAULT 0,
complete BOOLEAN DEFAULT 0,
UNIQUE(local_date, tz_name)
)
""")
current_version = 3
def migrate_to_latest(store_path: Path) -> int:
"""Apply forward-only migrations to bring the store to SCHEMA_VERSION.
+691 -74
View File
File diff suppressed because it is too large Load Diff
+49
View File
@@ -0,0 +1,49 @@
"""System timezone detection for local-day activity totals.
Provides timezone detection (TZ env, /etc/localtime) and offset
computation used by local-day derivation. All functions are
stateless and safe to call from the collector and TUI reader.
"""
import os
from datetime import datetime, timezone
from pathlib import Path
def detect_system_tz() -> str:
"""Detect the system timezone name.
Resolution order:
1. ``TZ`` environment variable (may be empty or ":UTC")
2. Symlink target of ``/etc/localtime``
3. Falls back to ``"UTC"``
Returns a POSIX timezone name like ``"Asia/Kolkata"`` or ``"UTC"``.
"""
tz = os.environ.get("TZ", "").strip()
if tz:
return tz.lstrip(":")
localtime = Path("/etc/localtime")
if localtime.is_symlink():
target = os.readlink(str(localtime))
# Strip common prefixes: /usr/share/zoneinfo/, /usr/lib/zoneinfo/
for prefix in ("/usr/share/zoneinfo/", "/usr/lib/zoneinfo/"):
if target.startswith(prefix):
return target[len(prefix):]
return target
return "UTC"
def get_tz_offset_str(dt: datetime, tz_name: str) -> str:
"""UTC offset as ``+HH:MM`` or ``-HH:MM`` string for *dt* in *tz_name*."""
from zoneinfo import ZoneInfo
local_tz = ZoneInfo(tz_name)
local_dt = dt.astimezone(local_tz)
offset = local_dt.utcoffset()
total_seconds = int(offset.total_seconds())
sign = "+" if total_seconds >= 0 else "-"
total_seconds = abs(total_seconds)
hours = total_seconds // 3600
minutes = (total_seconds % 3600) // 60
return "%s%02d:%02d" % (sign, hours, minutes)
+37 -1
View File
@@ -109,12 +109,40 @@ def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start))
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
utc_start=None, utc_end=None, bw=1024*1024*100,
br=0, coverage=0.95, samples=24, complete=True):
"""Insert a local_days row (issue #94 gate prerequisite)."""
if utc_start is None:
utc_start = local_date + "T00:00:00+00:00"
if utc_end is None:
dt = datetime.strptime(local_date, "%Y-%m-%d") + timedelta(days=1)
utc_end = dt.strftime("%Y-%m-%dT00:00:00+00:00")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete),
)
conn.commit()
def _insert_complete_local_days(conn, start_date, count, bw=1024*1024*100):
"""Insert multiple complete local days to satisfy the issue #94 gate."""
for i in range(count):
d = (datetime.strptime(start_date, "%Y-%m-%d") + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_local_day(conn, d, bw=bw)
def _setup_full_store(conn, *, baseline=True, segment=True, days=30,
bw=1024*1024*100, coverage=0.95, samples_per_day=24,
sample_ts="2026-09-30T10:00:00+00:00",
period_start="2026-09-01T00:00:00+00:00",
segment_opened="2026-09-01T00:00:00+00:00",
baseline_kw=None, segment_kw=None):
baseline_kw=None, segment_kw=None,
local_days=True):
if baseline:
_insert_baseline(conn, **(baseline_kw or {}))
if segment:
@@ -125,6 +153,9 @@ def _setup_full_store(conn, *, baseline=True, segment=True, days=30,
_insert_day(conn, d, bw=bw, coverage=coverage, samples=samples_per_day)
if sample_ts:
_insert_sample(conn, sample_ts)
# Issue #94: satisfy the complete-observation-day gate
if local_days and days > 0:
_insert_complete_local_days(conn, "2026-09-29", 1, bw=bw)
# ===================================================================
@@ -217,6 +248,7 @@ class TestCI1StateMatrix:
d = (datetime(2026, 9, 25) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100)
_insert_sample(conn, "2026-09-30T10:00:00+00:00")
_insert_complete_local_days(conn, "2026-09-29", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.LIMITED
conn.close()
@@ -230,6 +262,7 @@ class TestCI1StateMatrix:
d = (datetime(2026, 9, 20) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100, coverage=0.95, samples=24)
_insert_sample(conn, "2026-09-30T10:00:00+00:00")
_insert_complete_local_days(conn, "2026-09-29", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.LIMITED
assert proj.warming_fact is not None
@@ -245,6 +278,7 @@ class TestCI1StateMatrix:
_insert_day(conn, d, bw=1024*1024*100, coverage=0.95, samples=24)
stale_ts = (_clock() - timedelta(days=5)).isoformat()
_insert_sample(conn, stale_ts)
_insert_complete_local_days(conn, "2026-08-30", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.LIMITED
assert proj.staleness_fact is not None
@@ -259,6 +293,7 @@ class TestCI1StateMatrix:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100, coverage=0.95, samples=24)
_insert_sample(conn, "2026-09-30T10:00:00+00:00")
_insert_complete_local_days(conn, "2026-09-29", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.LIMITED
assert proj.degraded_identity_fact is not None
@@ -273,6 +308,7 @@ class TestCI1StateMatrix:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=0)
_insert_sample(conn, "2026-09-30T10:00:00+00:00")
_insert_complete_local_days(conn, "2026-09-29", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.UNSUPPORTED
assert proj.zero_rate_fact is not None
+14
View File
@@ -79,6 +79,20 @@ def test_release_footer_verifies_the_clearsigned_checksum_asset():
assert "sha256sum -c SHA256SUMS" in footer
def test_release_footer_configures_the_xbps_url_as_a_repository():
footer = (REPO_ROOT / "packaging" / "release-footer.md").read_text(
encoding="utf-8"
)
repository = (
"repository=https://git.bongbetic.com/xavierk/Fenris-xbps/"
"raw/branch/stable/x86_64"
)
assert repository in footer
assert "sudo xbps-install -M -S fenris" in footer
assert "sudo xbps-install -S https://git.bongbetic.com" not in footer
@pytest.mark.parametrize(
("changelog", "expected_error"),
[
+1 -1
View File
@@ -154,7 +154,7 @@ class TestSchemaMigration:
# Migrate
steps = migrate_to_latest(db)
assert steps == 1
assert steps == 2 # v1→v2→v3
# Verify data preserved
conn = sqlite3.connect(str(db))
+1
View File
@@ -248,6 +248,7 @@ def test_store_initialization(config_fixture: Dict[str, Any]):
# sqlite_sequence is a system table created by AUTOINCREMENT
expected_tables.add("sqlite_sequence")
expected_tables.add("store_metadata")
expected_tables.add("local_days")
assert expected_tables == tables
conn.close()
+258
View File
@@ -0,0 +1,258 @@
"""Complete observation day gate tests (issue #94).
Verifies that the endurance projection is withheld until at least one
complete local calendar day has been observed within a monitoring period.
Seams:
- compute_projection() → gate check via local_days table
- ProjectionResult.contributing_facts → "waiting for a full local observation day"
Acceptance criteria:
- Gate-1: No complete local day → UNSUPPORTED with waiting fact
- Gate-2: One complete local day → Limited confidence (if other conditions met)
- Gate-3: Partial days don't satisfy the gate
- Gate-4: CLI and TUI share the same gate via compute_projection()
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store
from fenris.monitoring_periods import ensure_period_open
from fenris.projection import (
compute_projection, ConfidenceState, BaselineTier,
WARMING_COVERAGE_FLOOR,
)
@pytest.fixture
def store(tmp_path):
conn = init_store(tmp_path / "test.db")
yield conn
conn.close()
def _clock(year=2026, month=9, day=30, hour=12):
return datetime(year, month, day, hour, 0, 0, tzinfo=timezone.utc)
def _insert_baseline(conn, tbw_tb=1.0, verified=True):
conn.execute(
"INSERT INTO endurance_baseline "
"(tbw_terabytes, source_url, document_revision, entry_date, model_string, "
" nominal_capacity_bytes, validated_by, verified, created_at, updated_at) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(tbw_tb, "https://example.com/spec", "v1.0", "2026-01-01",
"Samsung SSD 970 EVO Plus 1TB", 1024000000000,
"machine_match" if verified else None, verified,
"2026-01-01T00:00:00+00:00", "2026-01-01T00:00:00+00:00"),
)
conn.commit()
def _insert_segment(conn, opened_at="2026-09-01T00:00:00+00:00"):
conn.execute(
"INSERT INTO controller_segments "
"(opened_at, identity_key, identity_degraded, subnqn, sn, mn, fr, vid, ssvid, transport) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(opened_at, "nqn.test", False, "nqn.test", "SN123",
"Samsung SSD 970 EVO Plus 1TB", "FW1", "0x144d", "0x144d", "pcie"),
)
conn.commit()
def _insert_day(conn, day, bw=1024*1024*100, coverage=0.95, samples=24):
conn.execute(
"INSERT INTO day_aggregates (day, active_seconds, idle_seconds, powered_off_seconds, "
"unknown_seconds, bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(day, 3600, 0, 0, 0, bw, 0, samples, coverage),
)
conn.commit()
def _insert_sample(conn, ts, pu=5):
conn.execute(
"INSERT INTO samples (ts, device, data_units_written, data_units_read, "
"percentage_used, bytes_written, bytes_read, power_on_hours) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
(ts, "/dev/nvme0n1", 1000000, 500000, pu, 512000000000, 256000000000, 8765),
)
conn.commit()
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
utc_start=None, utc_end=None, bw=1024*1024*100,
br=0, coverage=0.95, samples=24, complete=True):
"""Insert a local_days row for testing the gate."""
if utc_start is None:
utc_start = local_date + "T00:00:00+00:00"
if utc_end is None:
# Next day
dt = datetime.strptime(local_date, "%Y-%m-%d") + timedelta(days=1)
utc_end = dt.strftime("%Y-%m-%dT00:00:00+00:00")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete),
)
conn.commit()
def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start))
# ---------------------------------------------------------------------------
# Gate-1: No complete local day → UNSUPPORTED with waiting fact
# ---------------------------------------------------------------------------
class TestGateNoCompleteDay:
"""Projection is unavailable before any complete local observation day."""
def test_no_local_days_unsupported(self, store):
"""With no local_days entries, projection is UNSUPPORTED."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
# 14 days of UTC data — enough for normal projection, but no local_days
for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("full local observation day" in f for f in result.contributing_facts)
assert result.headline_remaining_seconds is None
def test_only_partial_local_days_unsupported(self, store):
"""Partial (incomplete) local days don't satisfy the gate."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
# Insert only incomplete local days
for i in range(5):
d = (datetime(2026, 9, 25) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_local_day(store, d, complete=False, coverage=0.3)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("full local observation day" in f for f in result.contributing_facts)
def test_gate_before_warming_check(self, store):
"""Gate fires even when warming would also block — gate has precedence."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
# Only 3 days of data (below warming threshold)
for i in range(3):
d = (datetime(2026, 9, 27) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
# Insert one complete local day — but still below warming
_insert_local_day(store, "2026-09-29", complete=True)
result = compute_projection(store, _clock())
# Gate is satisfied (one complete day), but warming blocks Supported
# The key assertion: gate message should NOT appear when gate IS met
assert not any("full local observation day" in f for f in result.contributing_facts)
# ---------------------------------------------------------------------------
# Gate-2: One complete local day → Limited confidence
# ---------------------------------------------------------------------------
class TestGateOneCompleteDay:
"""After one complete local day, projection can proceed with Limited confidence."""
def test_one_complete_day_allows_projection(self, store):
"""With one complete local day and valid baseline/rate, projection is Limited."""
_insert_baseline(store, tbw_tb=1.0, verified=True)
_insert_segment(store)
_open_period(store)
# 14 days of UTC data
for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
# One complete local day
_insert_local_day(store, "2026-09-29", complete=True)
result = compute_projection(store, _clock())
# Gate satisfied — no "waiting" fact
assert not any("full local observation day" in f for f in result.contributing_facts)
# With only 14 days and other Limited factors, should be Limited or Supported
assert result.confidence_state in (ConfidenceState.LIMITED, ConfidenceState.SUPPORTED)
# Headline should exist (rate > 0, baseline exists)
assert result.headline_remaining_seconds is not None
def test_gate_fact_absent_when_satisfied(self, store):
"""The 'waiting for full day' fact does not appear when gate is met."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
for i in range(20):
d = (datetime(2026, 9, 10) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_local_day(store, "2026-09-29", complete=True)
result = compute_projection(store, _clock())
assert not any("full local observation day" in f for f in result.contributing_facts)
assert result.confidence_state != ConfidenceState.UNSUPPORTED
# ---------------------------------------------------------------------------
# Gate-3: Partial first day doesn't satisfy the gate
# ---------------------------------------------------------------------------
class TestGatePartialFirstDay:
"""Starting monitoring at noon means the partial first day doesn't count."""
def test_partial_first_day_not_enough(self, store):
"""A single incomplete local day (started at noon) doesn't open the gate."""
_insert_baseline(store)
_insert_segment(store, opened_at="2026-09-29T12:00:00+00:00")
_open_period(store, start="2026-09-29T12:00:00+00:00")
# Only Sep 29 (partial) and Sep 30 (today, partial)
_insert_day(store, "2026-09-29", bw=1024*1024*100, coverage=0.5, samples=12)
_insert_day(store, "2026-09-30", bw=1024*1024*100, coverage=0.5, samples=12)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
# Only partial local days
_insert_local_day(store, "2026-09-29", complete=False, coverage=0.5)
_insert_local_day(store, "2026-09-30", complete=False, coverage=0.5)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("full local observation day" in f for f in result.contributing_facts)
# ---------------------------------------------------------------------------
# Gate-4: Multiple complete days also satisfy the gate
# ---------------------------------------------------------------------------
class TestGateMultipleCompleteDays:
"""Multiple complete local days satisfy the gate."""
def test_multiple_complete_days_satisfy_gate(self, store):
"""Several complete local days open the gate."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
# 7 complete local days
for i in range(7):
d = (datetime(2026, 9, 23) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_local_day(store, d, complete=True)
result = compute_projection(store, _clock())
assert not any("full local observation day" in f for f in result.contributing_facts)
assert result.headline_remaining_seconds is not None
+145
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"""Cross-day interval unattributed-byte preservation (issue #88).
Verifies that a cross-hour interval spanning midnight is stored ONCE as
shared boundary evidence, not duplicated into both days.
Seam: derive._add_unattributed_bytes() → day_aggregates.unattributed_bytes_*
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.collector import run_collection
from fenris.store import init_store
from fenris.monitoring_periods import ensure_period_open
def _make_smartctl(duw: int, dur: int):
return {
"json_format_version": [1, 0],
"smartctl": {"version": [7, 3], "svn_revision": "5155",
"build_info": "(local build)"},
"nvme_smart_health_information_log": {
"critical_warning": 0, "temperature": 35,
"available_spare": 100, "available_spare_threshold": 10,
"percentage_used": 5, "data_units_written": duw,
"data_units_read": dur, "power_on_hours": 8765,
"power_cycles": 1234, "unsafe_shutdowns": 5,
"media_errors": 0, "num_err_log_entries": 0,
},
"user_capacity": {"bytes": 1024000000000, "units": "bytes"},
"model_name": "Samsung SSD 970 EVO Plus 1TB",
"serial_number": "S4EWNX0N123456",
"firmware_version": "2B2QEXM7",
}
@pytest.fixture
def sysfs_tree(tmp_path: Path) -> Path:
ctrl_dir = tmp_path / "sys" / "class" / "nvme" / "nvme0"
ctrl_dir.mkdir(parents=True)
(ctrl_dir / "subsysnqn").write_text(
"nqn.2014-08.org.nvmexpress:uuid:12345678-1234-1234-1234-123456789abc\n"
)
(ctrl_dir / "model").write_text("Samsung SSD 970 EVO Plus 1TB\n")
(ctrl_dir / "serial").write_text("S4EWNX0N123456\n")
(ctrl_dir / "firmware_rev").write_text("2B2QEXM7\n")
transport_dir = ctrl_dir / "transport"
transport_dir.mkdir()
(transport_dir / "address").write_text("0000:03:00.0")
(transport_dir / "trstring").write_text("pcie")
return tmp_path
class _Clock:
def __init__(self, initial):
self.now = initial
def utcnow(self):
return self.now
class TestCrossDayUnattributedNoDuplication:
"""Unattributed bytes from a midnight-spanning interval must be stored
once, not duplicated into both days (issue #88)."""
def test_midnight_spanning_interval_not_duplicated(
self, tmp_path, sysfs_tree,
):
"""Two samples spanning midnight: 23:55 UTC day1 → 00:05 UTC day2.
The unattributed bytes should appear once, not in both days.
"""
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
t1 = datetime(2026, 9, 1, 23, 55, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 2, 0, 5, 0, tzinfo=timezone.utc)
# +100 DUW, +60 DUR across midnight
r1 = run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
assert r1["ok"]
r2 = run_collection(_make_smartctl(10000100, 8000060), sysfs_nvme, cfg, _Clock(t2))
assert r2["ok"]
conn = sqlite3.connect(store)
# Get unattributed bytes for each day
unattr_w_day1 = conn.execute(
"SELECT unattributed_bytes_written FROM day_aggregates WHERE day = ?",
("2026-09-01",)
).fetchone()
unattr_w_day2 = conn.execute(
"SELECT unattributed_bytes_written FROM day_aggregates WHERE day = ?",
("2026-09-02",)
).fetchone()
unattr_r_day1 = conn.execute(
"SELECT unattributed_bytes_read FROM day_aggregates WHERE day = ?",
("2026-09-01",)
).fetchone()
unattr_r_day2 = conn.execute(
"SELECT unattributed_bytes_read FROM day_aggregates WHERE day = ?",
("2026-09-02",)
).fetchone()
expected_bw = 100 * 512000 # 51200000
expected_br = 60 * 512000 # 30720000
# BUG: Current code adds the SAME bytes to BOTH days.
# After fix: only ONE day should have the unattributed bytes.
# The spec says: preserve once as shared boundary evidence.
# At least one day must have the unattributed bytes
total_unattr_w = (unattr_w_day1[0] if unattr_w_day1 else 0) + (unattr_w_day2[0] if unattr_w_day2 else 0)
total_unattr_r = (unattr_r_day1[0] if unattr_r_day1 else 0) + (unattr_r_day2[0] if unattr_r_day2 else 0)
# The total unattributed bytes across both days must equal
# the actual delta (not double)
assert total_unattr_w == expected_bw, (
f"Unattributed writes across both days should be {expected_bw}, "
f"got {total_unattr_w} (duplication detected)"
)
assert total_unattr_r == expected_br, (
f"Unattributed reads across both days should be {expected_br}, "
f"got {total_unattr_r} (duplication detected)"
)
# Neither day should have MORE than the actual delta
for day_label, uw, ur in [
("day1", unattr_w_day1, unattr_r_day1),
("day2", unattr_w_day2, unattr_r_day2),
]:
if uw is not None:
assert uw[0] <= expected_bw, (
f"{day_label} unattributed writes {uw[0]} exceeds delta {expected_bw}"
)
if ur is not None:
assert ur[0] <= expected_br, (
f"{day_label} unattributed reads {ur[0]} exceeds delta {expected_br}"
)
conn.close()
+376
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"""Edge-case tests for issue #72 remaining acceptance criteria.
Covers:
- TPH-#34-36: Pause-crossing intervals
- TPH-#59: Staleness frozen estimate wording
- TPH-#62: Zero-delta evidence in live graph
- TPH-#63: Horizon anchoring at evidence endpoint
- TPH-#64: Burst/habit checks with unknown daily shares
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store
from fenris.monitoring_periods import ensure_period_open, close_period
from fenris.derive import derive_hours_from_interval
from fenris.day_aggregate import derive_day
from fenris.projection import compute_projection, ConfidenceState, STALENESS_HOURS
from fenris.tui import _query_live_graph_data, _query_daily_graph_data
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
def _clock(year=2026, month=10, day=1, hour=12):
return datetime(year, month, day, hour, 0, 0, tzinfo=timezone.utc)
def _insert_sample(conn, ts, bw=512000000000, br=256000000000, segment_id=1):
conn.execute(
"INSERT INTO samples (ts, device, data_units_written, data_units_read, "
"percentage_used, bytes_written, bytes_read, power_on_hours, segment_id) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(ts, "/dev/nvme0n1", 1000000, 500000, 5, bw, br, 8765, segment_id),
)
conn.commit()
def _insert_segment(conn, opened_at="2026-09-01T00:00:00+00:00",
identity_key="nqn.test", degraded=False):
conn.execute(
"INSERT INTO controller_segments "
"(opened_at, identity_key, identity_degraded, subnqn, sn, mn, fr, vid, ssvid, transport) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(opened_at, identity_key, degraded, "nqn.test", "SN123",
"Samsung SSD 970 EVO Plus 1TB", "FW1", "0x144d", "0x144d", "pcie"),
)
conn.commit()
def _insert_baseline(conn, tbw_tb=1.0, verified=True):
conn.execute(
"INSERT INTO endurance_baseline "
"(tbw_terabytes, source_url, document_revision, entry_date, model_string, "
" nominal_capacity_bytes, validated_by, verified, created_at, updated_at) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(tbw_tb, "https://example.com/spec", "v1.0", "2026-01-01",
"Samsung SSD 970 EVO Plus 1TB", 1024000000000,
"machine_match" if verified else None, verified,
"2026-01-01T00:00:00+00:00", "2026-01-01T00:00:00+00:00"),
)
conn.commit()
def _insert_day(conn, day, bw=10*1024*1024*1024, br=0, coverage=0.95, samples=24):
"""Insert a day aggregate with ~10GB writes (realistic for projection)."""
conn.execute(
"INSERT INTO day_aggregates (day, active_seconds, idle_seconds, powered_off_seconds, "
"unknown_seconds, bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(day, 3600, 0, 0, 0, bw, br, samples, coverage),
)
conn.commit()
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
utc_start=None, utc_end=None, bw=10*1024*1024*1024,
br=0, coverage=0.95, samples=24, complete=True):
"""Insert a local_days row for testing the observation day gate."""
if utc_start is None:
utc_start = local_date + "T00:00:00+00:00"
if utc_end is None:
dt = datetime.strptime(local_date, "%Y-%m-%d") + timedelta(days=1)
utc_end = dt.strftime("%Y-%m-%dT00:00:00+00:00")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete),
)
conn.commit()
def _insert_hour(conn, hour_iso, bw=0, br=0, sample_count=1,
active=3600, idle=0, powered_off=0, unknown=0):
known = active + idle + powered_off
coverage = known / 3600.0
conn.execute(
"INSERT INTO hour_observations "
"(hour, active_seconds, idle_seconds, powered_off_seconds, unknown_seconds, "
" bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(hour_iso, active, idle, powered_off, unknown, bw, br, sample_count, coverage),
)
conn.commit()
# ---------------------------------------------------------------------------
# TPH-#34-36: Pause-crossing intervals
# ---------------------------------------------------------------------------
class TestPauseCrossingIntervals:
"""Intervals crossing a pause boundary preserve evidence correctly."""
def test_interval_crossing_pause_preserves_total(self, tmp_path):
"""An interval that spans a pause boundary keeps the full delta
in hour observations; the monitoring-period exclusion happens at
the day-aggregate coverage level."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn)
t1 = datetime(2026, 10, 1, 10, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 10, 1, 11, 0, 0, tzinfo=timezone.utc)
t3 = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
ensure_period_open(conn, t1)
_insert_sample(conn, t1.isoformat(), bw=100000000000)
_insert_sample(conn, t2.isoformat(), bw=200000000000)
prev = {"id": 1, "ts": t1.isoformat(), "bytes_written": 100000000000,
"bytes_read": 0, "power_on_hours": 8765, "temperature_c": 35,
"data_units_written": 1000000, "data_units_read": 0}
curr = {"id": 2, "ts": t2.isoformat(), "bytes_written": 200000000000,
"bytes_read": 0, "power_on_hours": 8765, "temperature_c": 35,
"data_units_written": 2000000, "data_units_read": 0}
derive_hours_from_interval(conn, prev, curr)
close_period(conn, t2, "user_disabled")
ensure_period_open(conn, t3)
_insert_sample(conn, t3.isoformat(), bw=300000000000)
prev2 = {"id": 2, "ts": t2.isoformat(), "bytes_written": 200000000000,
"bytes_read": 0, "power_on_hours": 8765, "temperature_c": 35,
"data_units_written": 2000000, "data_units_read": 0}
curr2 = {"id": 3, "ts": t3.isoformat(), "bytes_written": 300000000000,
"bytes_read": 0, "power_on_hours": 8765, "temperature_c": 35,
"data_units_written": 3000000, "data_units_read": 0}
derive_hours_from_interval(conn, prev2, curr2)
hour11 = conn.execute(
"SELECT bytes_written_delta FROM hour_observations WHERE hour = ?",
("2026-10-01T11:00:00+00:00",)
).fetchone()
assert hour11 is not None
assert hour11[0] == 100000000000
agg = derive_day(conn, "2026-10-01")
assert agg is not None
assert agg.bytes_written_delta == 100000000000
conn.close()
def test_deliberate_pause_vs_raw_stop(self, tmp_path):
"""Deliberate pause closes period with user_disabled;
raw service stop leaves period open (interrupted)."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn)
t1 = datetime(2026, 10, 1, 10, 0, 0, tzinfo=timezone.utc)
ensure_period_open(conn, t1)
_insert_sample(conn, t1.isoformat())
close_period(conn, t1 + timedelta(hours=1), "user_disabled")
period = conn.execute(
"SELECT ended_at, end_cause FROM monitoring_periods WHERE ended_at IS NOT NULL"
).fetchone()
assert period is not None
assert period[1] == "user_disabled"
t2 = datetime(2026, 10, 1, 14, 0, 0, tzinfo=timezone.utc)
ensure_period_open(conn, t2)
_insert_sample(conn, t2.isoformat())
open_periods = conn.execute(
"SELECT COUNT(*) FROM monitoring_periods WHERE ended_at IS NULL"
).fetchone()
assert open_periods[0] == 1
conn.close()
# ---------------------------------------------------------------------------
# TPH-#59: Staleness frozen estimate wording
# ---------------------------------------------------------------------------
class TestStalenessFact:
"""Projection includes staleness fact when evidence is old."""
def test_staleness_fact_present_when_old(self, tmp_path):
"""When newest data is ≥48h old, projection includes staleness fact."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn)
_insert_baseline(conn)
base = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc)
for i in range(14):
day = (base + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=10*1024*1024*1024)
_insert_local_day(conn, day, complete=True)
clock = datetime(2026, 10, 2, 12, 0, 0, tzinfo=timezone.utc)
proj = compute_projection(conn, clock)
assert proj.staleness_fact is not None
assert "48" in proj.staleness_fact or "old" in proj.staleness_fact
staleness_in_facts = any("old" in f or "48" in f for f in proj.contributing_facts)
assert staleness_in_facts
conn.close()
def test_no_staleness_fact_when_fresh(self, tmp_path):
"""When newest data is recent, no staleness fact."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn)
_insert_baseline(conn)
base = datetime(2026, 9, 18, 12, 0, 0, tzinfo=timezone.utc)
for i in range(14):
day = (base + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=10*1024*1024*1024)
_insert_local_day(conn, day, complete=True)
clock = datetime(2026, 10, 2, 12, 0, 0, tzinfo=timezone.utc)
proj = compute_projection(conn, clock)
assert proj.staleness_fact is None
conn.close()
# ---------------------------------------------------------------------------
# TPH-#62: Zero-delta evidence in live graph
# ---------------------------------------------------------------------------
class TestZeroDeltaEvidence:
"""Zero-delta intervals are distinguished from missing evidence."""
def test_zero_delta_shown_as_zero(self, tmp_path):
"""Two identical readings produce a zero-delta interval."""
conn = init_store(tmp_path / "test.db")
now = _clock()
_insert_sample(conn, (now - timedelta(minutes=6)).isoformat(), bw=100000000000)
_insert_sample(conn, (now - timedelta(minutes=3)).isoformat(), bw=100000000000)
data = _query_live_graph_data(conn, now)
assert len(data) == 1
assert data[0]["bytes_written"] == 0
assert data[0]["is_zero"] is True
assert data[0]["is_gap"] is False
conn.close()
def test_gap_distinguished_from_zero(self, tmp_path):
"""A gap (missed collection) with non-zero delta is distinct from measured zero."""
conn = init_store(tmp_path / "test.db")
now = _clock()
_insert_sample(conn, (now - timedelta(hours=2)).isoformat(), bw=100000000000)
_insert_sample(conn, (now - timedelta(minutes=3)).isoformat(), bw=200000000000)
data = _query_live_graph_data(conn, now)
assert len(data) == 1
assert data[0]["is_gap"] is True
assert data[0]["is_zero"] is False
assert data[0]["bytes_written"] == 100000000000
# ---------------------------------------------------------------------------
# TPH-#63: Horizon anchoring at evidence endpoint
# ---------------------------------------------------------------------------
class TestHorizonAnchoring:
"""Scenario windows end at the latest evidence endpoint T."""
def test_horizon_rate_uses_evidence_endpoint(self, tmp_path):
"""Horizon rates are computed from the latest evidence endpoint,
not from clock_now."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn)
_insert_baseline(conn)
ensure_period_open(conn, datetime(2026, 9, 10, 0, 0, 0, tzinfo=timezone.utc))
# Insert 28 days of data ending 5 days ago with realistic writes
base = datetime(2026, 9, 10, 12, 0, 0, tzinfo=timezone.utc)
for i in range(28):
day = (base + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=10*1024*1024*1024) # ~10GB/day
_insert_local_day(conn, day, complete=True)
clock = datetime(2026, 10, 13, 12, 0, 0, tzinfo=timezone.utc)
proj = compute_projection(conn, clock)
# Scenario range should exist with rates
assert proj.scenario_range is not None
assert len(proj.scenario_range.rates) > 0
for horizon in [7, 28]:
if horizon in proj.scenario_range.rates:
rate = proj.scenario_range.rates[horizon]
assert rate > 0, f"Horizon {horizon} should have positive rate"
conn.close()
# ---------------------------------------------------------------------------
# TPH-#64: Burst/habit checks with unknown daily shares
# ---------------------------------------------------------------------------
class TestBurstChecks:
"""Burst and habit checks handle unknown daily shares correctly."""
def test_habit_change_detected(self, tmp_path):
"""Habit change detection works with clear write rate change."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn, opened_at="2026-08-01T00:00:00+00:00")
_insert_baseline(conn, tbw_tb=10.0)
ensure_period_open(conn, datetime(2026, 8, 1, 0, 0, 0, tzinfo=timezone.utc))
# 28 days of normal usage (100 MiB/day)
bw_normal = 100 * 1024 * 1024
for i in range(28):
day = (datetime(2026, 8, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=bw_normal)
_insert_local_day(conn, day, complete=True, bw=bw_normal)
# 10 days of high usage (300 MiB/day = 3x, triggers habit change)
bw_high = 300 * 1024 * 1024
for i in range(10):
day = (datetime(2026, 8, 29) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=bw_high)
_insert_local_day(conn, day, complete=True, bw=bw_high)
clock = datetime(2026, 9, 8, 12, 0, 0, tzinfo=timezone.utc)
proj = compute_projection(conn, clock)
# Should have a habit change fact (3× increase for 10 days)
assert proj.habit_change_fact is not None
assert "usage habit changed" in proj.habit_change_fact
conn.close()
def test_zero_delta_not_treated_as_unknown(self, tmp_path):
"""A measured zero-delta interval is not treated as missing evidence."""
conn = init_store(tmp_path / "test.db")
now = _clock()
_insert_sample(conn, (now - timedelta(minutes=6)).isoformat(), bw=100000000000)
_insert_sample(conn, (now - timedelta(minutes=3)).isoformat(), bw=100000000000)
data = _query_live_graph_data(conn, now)
assert len(data) == 1
assert data[0]["is_zero"] is True
assert data[0]["is_gap"] is False
assert data[0]["bytes_written"] == 0
conn.close()
+35
View File
@@ -86,6 +86,33 @@ def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
conn.commit()
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
utc_start=None, utc_end=None, bw=1024*1024*100,
br=0, coverage=0.95, samples=24, complete=True):
"""Insert a local_days row (issue #94 gate prerequisite)."""
if utc_start is None:
utc_start = local_date + "T00:00:00+00:00"
if utc_end is None:
dt = datetime.strptime(local_date, "%Y-%m-%d") + timedelta(days=1)
utc_end = dt.strftime("%Y-%m-%dT00:00:00+00:00")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete),
)
conn.commit()
def _insert_complete_local_days(conn, start_date, count, bw=1024*1024*100):
"""Insert multiple complete local days to satisfy the issue #94 gate."""
for i in range(count):
d = (datetime.strptime(start_date, "%Y-%m-%d") + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_local_day(conn, d, bw=bw)
class TestHonestQualifyingProgress:
"""Issue #77: Show honest qualifying-day progress and confidence."""
@@ -103,6 +130,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, coverage=cov)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# After warming, qualifying_days_progress shows honest count
@@ -125,6 +153,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, samples=samples)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# After warming, qualifying_days_progress shows honest count
@@ -146,6 +175,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Should be warming
@@ -164,6 +194,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=0, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Zero rate should be UNSUPPORTED
@@ -185,6 +216,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, coverage=cov)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Should still be warming (3 days below coverage > WARMING_MAX_LOW_COVERAGE=2)
@@ -205,6 +237,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, samples=samples)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Should still be warming
@@ -225,6 +258,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, coverage=cov)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Should not be warming (14 total, 2 below coverage <= WARMING_MAX_LOW_COVERAGE)
@@ -247,6 +281,7 @@ class TestHonestQualifyingProgress:
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Should not be warming
+18 -11
View File
@@ -171,8 +171,8 @@ class TestKeyBindings:
assert "m" in binding_keys
@pytest.mark.asyncio
async def test_t_cycles_through_themes(self, tmp_path):
"""Pressing t cycles through the three presets."""
async def test_t_goes_to_today(self, tmp_path):
"""Pressing t returns to today's live view (issue #91)."""
from fenris.tui import FenrisTuiApp
config_home = _make_prefs_dir(tmp_path)
@@ -182,12 +182,17 @@ class TestKeyBindings:
# Start at amber
assert app.theme == "fenris-amber"
# Press t to cycle
# Enter drill mode on the graph
graph = app.query_one("#usage-history")
graph.view_mode = "hourly"
graph.drill_day = "2026-09-30"
# Press t to go back to today
await pilot.press("t")
await pilot.pause()
# Should be nord or high_contrast now
assert app.theme in ("fenris-nord", "fenris-high-contrast")
# Should be back in daily mode
assert graph.view_mode == "daily"
@pytest.mark.asyncio
async def test_m_toggles_reduced_motion(self, tmp_path):
@@ -226,21 +231,23 @@ class TestPersistence:
async def test_theme_survives_restart(self, tmp_path):
"""Theme preference persists across TUI restart."""
from fenris.tui import FenrisTuiApp
from fenris.preferences import save_preferences
config_home = _make_prefs_dir(tmp_path)
with patch.dict(os.environ, {"XDG_CONFIG_HOME": str(config_home)}):
# First run: change theme
# First run: change theme via preferences API
app1 = FenrisTuiApp(store_path=tmp_path / "nonexistent.db")
async with app1.run_test() as pilot:
await pilot.press("t")
await pilot.pause()
theme_after_t = app1.theme
assert theme_after_t != "fenris-amber"
save_preferences(theme="nord", reduced_motion=False)
app1._current_theme_name = "nord"
app1.theme = "fenris-nord"
theme_after = app1.theme
assert theme_after == "fenris-nord"
# Second run: theme should persist
app2 = FenrisTuiApp(store_path=tmp_path / "nonexistent.db")
async with app2.run_test() as pilot:
assert app2.theme == theme_after_t
assert app2.theme == theme_after
@pytest.mark.asyncio
async def test_reduced_motion_survives_restart(self, tmp_path):
+592
View File
@@ -0,0 +1,592 @@
"""Tests for issue #92: Browse activity dates from the keyboard.
Covers:
- AC92-1: [ and ] select previous/next day, g opens date entry, t returns to today/live
- AC92-2: Date entry accepts valid dates, reports errors, returns on cancel
- AC92-3: Selecting a date obtains correct local-day evidence
- AC92-4: Historical date, measurement, and context remain stable across refresh
- AC92-5: t resolves to today/live, themes through discoverable control
- AC92-6: Drill-down shows available data with distinguishable states
- AC92-7: Keyboard actions verified from normal launch with headless driver
- AC92-8: Equivalent clickable actions at 80x24 and constrained widths
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
from unittest.mock import patch
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store
from fenris.monitoring_periods import ensure_period_open
from fenris.local_day import (
LocalDaySummary,
persist_local_day,
query_local_day_summary,
)
from fenris.tui import (
FenrisTuiApp,
DailyBarGraph,
_RANGE_OPTIONS,
_RANGE_DEFAULT,
)
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _clock(year=2026, month=9, day=30, hour=12):
return datetime(year, month, day, hour, 0, 0, tzinfo=timezone.utc)
def _insert_segment(conn, opened_at="2026-09-01T00:00:00+00:00",
identity_key="nqn.test"):
conn.execute(
"INSERT INTO controller_segments "
"(opened_at, identity_key, identity_degraded, subnqn, sn, mn, fr, vid, ssvid, transport) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(opened_at, identity_key, False, "nqn.test", "SN123",
"Samsung SSD 970 EVO Plus 1TB", "FW1", "0x144d", "0x144d", "pcie"),
)
conn.commit()
def _insert_day(conn, day, bw=1024*1024*100, coverage=0.95, samples=24):
conn.execute(
"INSERT INTO day_aggregates (day, active_seconds, idle_seconds, powered_off_seconds, "
"unknown_seconds, bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(day, 3600, 0, 0, 0, bw, 0, samples, coverage),
)
conn.commit()
def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start))
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
bw=300, br=130, complete=True):
summary = LocalDaySummary(
local_date=local_date,
tz_name=tz_name,
tz_offset=tz_offset,
utc_start=f"{local_date}T00:00:00+00:00",
utc_end=f"{(datetime.fromisoformat(local_date) + timedelta(days=1)).strftime('%Y-%m-%d')}T00:00:00+00:00",
bytes_written=bw,
bytes_read=br,
coverage=0.95,
sample_count=24,
complete=complete,
)
persist_local_day(conn, summary)
conn.commit()
def _setup_store(tmp_path, n_days=30, today=None):
"""Create a store with n_days of data and return (conn, clock)."""
if today is None:
today = _clock()
conn = init_store(tmp_path / "test.db")
_insert_segment(conn)
_open_period(conn)
for i in range(n_days):
d = (today - timedelta(days=n_days - 1 - i)).strftime("%Y-%m-%d")
_insert_day(conn, d)
return conn, today
def _make_app(tmp_path, clock=None):
"""Create a FenrisTuiApp with the clock mocked to *clock*.
Returns (app, patcher) - caller must keep patcher alive during the test.
"""
if clock is None:
clock = _clock()
from unittest.mock import patch
import fenris.tui as tui_mod
from datetime import datetime as _real_datetime
mock_dt = type("MockDatetime", (), {
"now": staticmethod(lambda tz=None: clock),
"strptime": staticmethod(lambda *a, **kw: _real_datetime.strptime(*a, **kw)),
"date": staticmethod(lambda: clock.date()),
})()
patcher = patch.object(tui_mod, "datetime", mock_dt)
patcher.start()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
return app, patcher
# ---------------------------------------------------------------------------
# AC92-1: Keyboard bindings exist
# ---------------------------------------------------------------------------
class TestBindingExistence:
def test_open_square_bracket_binding(self, tmp_path):
"""The [ binding exists for previous day navigation."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
binding_keys = {b.key for b in app.BINDINGS}
assert "left_square_bracket" in binding_keys
def test_close_square_bracket_binding(self, tmp_path):
"""The ] binding exists for next day navigation."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
binding_keys = {b.key for b in app.BINDINGS}
assert "right_square_bracket" in binding_keys
def test_g_binding_exists(self, tmp_path):
"""The g binding exists for date entry."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
binding_keys = {b.key for b in app.BINDINGS}
assert "g" in binding_keys
def test_t_binding_is_today(self, tmp_path):
"""The t binding maps to action_today, not a theme action."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
t_binding = next(b for b in app.BINDINGS if b.key == "t")
assert "today" in t_binding.action.lower()
def test_pause_resume_quit_bindings_exist(self, tmp_path):
"""Existing bindings are preserved."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
binding_keys = {b.key for b in app.BINDINGS}
assert "p" in binding_keys # pause
assert "r" in binding_keys # resume
assert "q" in binding_keys # quit
assert "d" in binding_keys # disclosures
assert "m" in binding_keys # motion toggle
# ---------------------------------------------------------------------------
# AC92-1: Bracket navigation from normal launch
# ---------------------------------------------------------------------------
class TestBracketNavigation:
@pytest.mark.asyncio
async def test_right_bracket_advances_day(self, tmp_path):
"""The ] key moves to the next (newer) day when not at the end."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
# Move to an older day first so ] can advance
for _ in range(3):
await pilot.press("left_square_bracket")
day_before = graph._day_data[graph.selected_index].get("day")
await pilot.press("right_square_bracket")
day_after = graph._day_data[graph.selected_index].get("day")
# ] should move to a newer day (closer to today)
assert day_after > day_before
@pytest.mark.asyncio
async def test_left_bracket_goes_to_previous_day(self, tmp_path):
"""The [ key moves to the previous (older) day."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
day_before = graph._day_data[graph.selected_index].get("day")
await pilot.press("left_square_bracket")
day_after = graph._day_data[graph.selected_index].get("day")
# [ should move to an older day (further from today)
assert day_after < day_before
@pytest.mark.asyncio
async def test_bracket_navigates_outside_visible_range(self, tmp_path):
"""[ beyond the current range shifts the visible window."""
app_clock = _clock()
conn, clock = _setup_store(tmp_path, n_days=30, today=app_clock)
conn.close()
app, patcher = _make_app(tmp_path, clock=app_clock)
try:
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
assert graph.range_days == _RANGE_DEFAULT
# Navigate to oldest day by pressing [ many times
for _ in range(29):
await pilot.press("left_square_bracket")
# Graph should now show a range that includes the oldest day
assert graph.selected_index >= 0
selected_day = graph._day_data[graph.selected_index].get("day")
oldest_day = (app_clock - timedelta(days=29)).strftime("%Y-%m-%d")
assert selected_day == oldest_day
finally:
patcher.stop()
@pytest.mark.asyncio
async def test_bracket_at_boundary_does_not_move(self, tmp_path):
"""] at the last day does not move the selection."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
initial_idx = graph.selected_index
await pilot.press("right_square_bracket")
assert graph.selected_index == initial_idx
# ---------------------------------------------------------------------------
# AC92-1: Arrow keys inspect the selected view
# ---------------------------------------------------------------------------
class TestArrowInspection:
@pytest.mark.asyncio
async def test_arrow_keys_still_work_in_daily_view(self, tmp_path):
"""Arrow keys move the selection within the visible daily view."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
# Focus the graph widget explicitly
graph.focus()
await pilot.pause()
day_before = graph._day_data[graph.selected_index].get("day")
await pilot.press("left")
day_after = graph._day_data[graph.selected_index].get("day")
assert day_after != day_before
@pytest.mark.asyncio
async def test_arrow_keys_inspect_hours_in_drill(self, tmp_path):
"""Arrow keys navigate hours when in hourly drill-down."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.click("#usage-history")
# Enter drill-down
await pilot.press("enter")
assert graph.view_mode == "hourly"
# Arrow keys navigate hours
await pilot.press("left")
assert graph._hourly_selected >= 0
# ---------------------------------------------------------------------------
# AC92-1: t returns to today/live
# ---------------------------------------------------------------------------
class TestTodayBinding:
@pytest.mark.asyncio
async def test_t_returns_to_today_after_browsing(self, tmp_path):
"""The t key returns to today's live view after browsing."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
# Browse to an older day using [
for _ in range(5):
await pilot.press("left_square_bracket")
browsed_day = graph._day_data[graph.selected_index].get("day")
today = clock.strftime("%Y-%m-%d")
assert browsed_day != today
# Press t to return to today
await pilot.press("t")
assert graph.selected_index == len(graph._day_data) - 1
@pytest.mark.asyncio
async def test_t_exits_hourly_drill(self, tmp_path):
"""The t key exits hourly drill-down back to daily view."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.click("#usage-history")
# Enter drill
await pilot.press("enter")
assert graph.view_mode == "hourly"
# t returns to daily
await pilot.press("t")
assert graph.view_mode == "daily"
# ---------------------------------------------------------------------------
# AC92-2: Date entry screen
# ---------------------------------------------------------------------------
class TestDateEntry:
@pytest.mark.asyncio
async def test_g_opens_date_entry(self, tmp_path):
"""The g key opens the date entry screen."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
await pilot.press("g")
await pilot.pause()
# Date picker should be pushed as a screen
assert len(app.screen_stack) > 1
@pytest.mark.asyncio
async def test_valid_date_navigates(self, tmp_path):
"""Entering a valid date navigates to that day."""
app_clock = _clock()
conn, clock = _setup_store(tmp_path, n_days=30, today=app_clock)
conn.close()
app, patcher = _make_app(tmp_path, clock=app_clock)
try:
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
target_date = (app_clock - timedelta(days=5)).strftime("%Y-%m-%d")
# Simulate the date picker callback directly
app._go_to_date_callback(target_date)
await pilot.pause()
graph = app.query_one("#usage-history")
selected_day = graph._day_data[graph.selected_index].get("day")
assert selected_day == target_date
finally:
patcher.stop()
@pytest.mark.asyncio
async def test_invalid_date_shows_error(self, tmp_path):
"""Entering an invalid date shows an error message."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
await pilot.press("g")
await pilot.pause()
await pilot.press("n", "o", "t", " ", "a", " ", "d", "a", "t", "e")
await pilot.press("enter")
await pilot.pause()
# Should remain on date picker (error shown, not dismissed)
assert len(app.screen_stack) > 1
@pytest.mark.asyncio
async def test_cancel_returns_to_prior(self, tmp_path):
"""Pressing escape in date entry returns to the prior view."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
prior_idx = graph.selected_index
await pilot.press("g")
await pilot.pause()
await pilot.press("escape")
await pilot.pause()
# Should be back to the graph with the same selection
assert graph.selected_index == prior_idx
# ---------------------------------------------------------------------------
# AC92-3: Selecting a date obtains correct local-day evidence
# ---------------------------------------------------------------------------
class TestLocalDayEvidence:
@pytest.mark.asyncio
async def test_bracket_shows_local_day_for_selected_date(self, tmp_path):
"""Navigating with brackets shows the local-day summary for that date."""
app_clock = _clock()
conn, clock = _setup_store(tmp_path, n_days=14, today=app_clock)
# Insert local-day data for a day within the 14-day range
target = (app_clock - timedelta(days=4)).strftime("%Y-%m-%d")
_insert_local_day(conn, target, bw=500, br=200)
conn.close()
app, patcher = _make_app(tmp_path, clock=app_clock)
try:
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
# Navigate to the target day
for _ in range(4):
await pilot.press("left_square_bracket")
await pilot.pause()
local_day = app.query_one("#local-day")
text = str(local_day.render())
assert target in text
finally:
patcher.stop()
@pytest.mark.asyncio
async def test_date_picker_shows_local_day(self, tmp_path):
"""Picking a date via the date picker shows its local-day summary."""
conn, clock = _setup_store(tmp_path, n_days=14)
target = (clock - timedelta(days=10)).strftime("%Y-%m-%d")
_insert_local_day(conn, target, bw=100, br=50)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
# Simulate the date picker callback directly
app._go_to_date_callback(target)
await pilot.pause()
local_day = app.query_one("#local-day")
text = str(local_day.render())
assert target in text
# ---------------------------------------------------------------------------
# AC92-4: Browsing stability across background refresh
# ---------------------------------------------------------------------------
class TestBrowsingStability:
@pytest.mark.asyncio
async def test_selection_stable_across_refresh(self, tmp_path):
"""Browsing selection is preserved when background refresh fires."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=0.1)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
# Browse to a specific day
for _ in range(3):
await pilot.press("right_square_bracket")
browsed_day = graph._day_data[graph.selected_index].get("day")
# Wait for at least one refresh tick
import asyncio
await asyncio.sleep(0.3)
await pilot.pause()
# Selection should be preserved
assert graph.selected_index >= 0
assert graph._day_data[graph.selected_index].get("day") == browsed_day
@pytest.mark.asyncio
async def test_navigate_away_does_not_jump_on_refresh(self, tmp_path):
"""After navigating away from today, refresh does not jump back."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=0.1)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
# Browse to older day using [
for _ in range(5):
await pilot.press("left_square_bracket")
browsed_day = graph._day_data[graph.selected_index].get("day")
today = clock.strftime("%Y-%m-%d")
assert browsed_day != today
# Wait for refresh
import asyncio
await asyncio.sleep(0.3)
await pilot.pause()
# Should NOT jump back to today
selected_day = graph._day_data[graph.selected_index].get("day")
assert selected_day != today
# ---------------------------------------------------------------------------
# AC92-6: Drill-down shows available data
# ---------------------------------------------------------------------------
class TestDrillDownData:
@pytest.mark.asyncio
async def test_drill_down_shows_loading_then_data(self, tmp_path):
"""Drill-down transitions from loading to actual data."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.click("#usage-history")
# Enter drill-down
await pilot.press("enter")
assert graph.view_mode == "hourly"
# After drill callback, data should be populated
# (empty since we have no hour_observations)
assert graph.view_mode == "hourly"
# ---------------------------------------------------------------------------
# AC92-8: Constrained width behavior
# ---------------------------------------------------------------------------
class TestConstrainedWidth:
@pytest.mark.asyncio
async def test_bracket_navigation_works_at_80x24(self, tmp_path):
"""Date navigation works at minimum 80x24 terminal size."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(80, 24)) as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
day_before = graph._day_data[graph.selected_index].get("day")
await pilot.press("left_square_bracket")
day_after = graph._day_data[graph.selected_index].get("day")
assert day_after < day_before
@pytest.mark.asyncio
async def test_g_opens_date_entry_at_80x24(self, tmp_path):
"""Date entry opens at minimum terminal size."""
conn, clock = _setup_store(tmp_path, n_days=14)
conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(80, 24)) as pilot:
await pilot.pause()
await pilot.press("g")
await pilot.pause()
assert len(app.screen_stack) > 1
+606
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@@ -0,0 +1,606 @@
"""Lifecycle tests for local-day history after detail expires (issue #93).
Verifies the full lifecycle: raw samples collected, local-day summaries
persisted, raw samples pruned after 14 days, and aged local-day summaries
remain queryable with correct timezone, boundaries, and evidence-limit
metadata.
Seams:
- Write side: collector.run_collection() → local_day derivation → persist
- Pruning: prune_old_samples() removes raw samples but preserves local_days
- Read side: query_local_day_history() returns entries with evidence flags
- Repair: repair_derivation() does not touch existing local_days
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Dict
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store, SCHEMA_VERSION
from fenris.local_day import (
derive_local_day_summary,
persist_local_day,
query_local_day_summary,
query_local_day_history,
LocalDaySummary,
LocalDayHistoryEntry,
_is_detail_available,
)
from fenris.pruning import prune_old_samples, RAW_SAMPLE_RETENTION_DAYS
from fenris.repair import repair_derivation
from fenris.monitoring_periods import ensure_period_open, close_period
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
def _make_smartctl(duw: int, dur: int) -> Dict[str, Any]:
return {
"json_format_version": [1, 0],
"smartctl": {"version": [7, 3], "svn_revision": "5155",
"build_info": "(local build)"},
"nvme_smart_health_information_log": {
"critical_warning": 0, "temperature": 35,
"available_spare": 100, "available_spare_threshold": 10,
"percentage_used": 5, "data_units_written": duw,
"data_units_read": dur, "power_on_hours": 8765,
"power_cycles": 1234, "unsafe_shutdowns": 5,
"media_errors": 0, "num_err_log_entries": 0,
},
"user_capacity": {"bytes": 1024000000000, "units": "bytes"},
"model_name": "Samsung SSD 970 EVO Plus 1TB",
"serial_number": "S4EWNX0N123456",
"firmware_version": "2B2QEXM7",
}
@pytest.fixture
def sysfs_tree(tmp_path: Path) -> Path:
ctrl_dir = tmp_path / "sys" / "class" / "nvme" / "nvme0"
ctrl_dir.mkdir(parents=True)
(ctrl_dir / "subsysnqn").write_text(
"nqn.2014-08.org.nvmexpress:uuid:12345678-1234-1234-1234-123456789abc\n"
)
(ctrl_dir / "model").write_text("Samsung SSD 970 EVO Plus 1TB\n")
(ctrl_dir / "serial").write_text("S4EWNX0N123456\n")
(ctrl_dir / "firmware_rev").write_text("2B2QEXM7\n")
transport_dir = ctrl_dir / "transport"
transport_dir.mkdir()
(transport_dir / "address").write_text("0000:03:00.0")
(transport_dir / "trstring").write_text("pcie")
return tmp_path
class _Clock:
def __init__(self, initial: datetime):
self.now = initial
def utcnow(self):
return self.now
def _insert_hour(conn, hour_iso, bw=0, br=0, sample_count=1,
active=3600, idle=0, powered_off=0, unknown=0):
"""Insert a UTC hour observation."""
known = active + idle + powered_off
coverage = known / 3600.0
conn.execute(
"INSERT INTO hour_observations "
"(hour, active_seconds, idle_seconds, powered_off_seconds, unknown_seconds, "
" bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(hour_iso, active, idle, powered_off, unknown, bw, br, sample_count, coverage),
)
conn.commit()
def _insert_sample(conn, ts_iso, bw=0, br=0, device="/dev/nvme0"):
"""Insert a raw sample."""
conn.execute(
"INSERT INTO samples (ts, device, data_units_written, data_units_read, "
" bytes_written, bytes_read, percentage_used) VALUES (?, ?, 0, 0, ?, ?, 0)",
(ts_iso, device, bw, br),
)
conn.commit()
# ---------------------------------------------------------------------------
# AC1: Advance through 14-day boundary, detail expires, summaries remain
# ---------------------------------------------------------------------------
class TestDetailExpiresSummariesRemain:
"""AC1: After 14-day pruning, local-day summaries survive."""
def test_local_days_survive_sample_pruning(self, tmp_path):
"""Local-day summaries persist after raw samples are pruned."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Create local-day summaries for dates spanning the 14-day boundary
# Day 1: 15 days ago (detail should be pruned)
old_summary = LocalDaySummary(
local_date="2026-09-16", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-16T00:00:00+00:00",
utc_end="2026-09-17T00:00:00+00:00",
bytes_written=1000, bytes_read=500,
coverage=0.8, sample_count=10, complete=True,
)
persist_local_day(conn, old_summary)
# Day 2: 10 days ago (detail should be retained)
recent_summary = LocalDaySummary(
local_date="2026-09-21", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-21T00:00:00+00:00",
utc_end="2026-09-22T00:00:00+00:00",
bytes_written=2000, bytes_read=800,
coverage=0.9, sample_count=15, complete=True,
)
persist_local_day(conn, recent_summary)
# Insert raw samples (old and recent)
_insert_sample(conn, "2026-09-16T10:00:00+00:00", bw=500, br=200)
_insert_sample(conn, "2026-09-16T10:05:00+00:00", bw=1000, br=500)
_insert_sample(conn, "2026-09-21T10:00:00+00:00", bw=1000, br=400)
_insert_sample(conn, "2026-09-21T10:05:00+00:00", bw=2000, br=800)
# Run pruning
pruned = prune_old_samples(conn, now, retention_days=14)
# Old samples should be pruned, recent ones retained
assert pruned >= 1
# Local-day summaries must still be queryable
old_result = query_local_day_summary(conn, "2026-09-16")
assert old_result is not None
assert old_result["bytes_written"] == 1000
assert old_result["bytes_read"] == 500
recent_result = query_local_day_summary(conn, "2026-09-21")
assert recent_result is not None
assert recent_result["bytes_written"] == 2000
conn.close()
def test_history_query_shows_evidence_limits(self, tmp_path):
"""History entries annotate detail-availability correctly."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Old summary (detail pruned)
old = LocalDaySummary(
local_date="2026-09-16", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-16T00:00:00+00:00",
utc_end="2026-09-17T00:00:00+00:00",
bytes_written=1000, bytes_read=500,
coverage=0.8, sample_count=10, complete=True,
)
persist_local_day(conn, old)
# Recent summary (detail available)
recent = LocalDaySummary(
local_date="2026-09-21", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-21T00:00:00+00:00",
utc_end="2026-09-22T00:00:00+00:00",
bytes_written=2000, bytes_read=800,
coverage=0.9, sample_count=15, complete=True,
)
persist_local_day(conn, recent)
# Insert a recent sample (no old samples → old detail not available)
_insert_sample(conn, "2026-09-21T10:00:00+00:00", bw=1000, br=400)
# Query history
entries = query_local_day_history(conn, "2026-09-16", "2026-09-21", now)
assert len(entries) == 2
old_entry = next(e for e in entries if e.local_date == "2026-09-16")
assert old_entry.detail_available is False
assert old_entry.bytes_written == 1000
recent_entry = next(e for e in entries if e.local_date == "2026-09-21")
assert recent_entry.detail_available is True
assert recent_entry.bytes_written == 2000
conn.close()
# ---------------------------------------------------------------------------
# AC2: Preserve summaries and boundary evidence before pruning
# ---------------------------------------------------------------------------
class TestBoundaryPreservation:
"""AC2: Summaries and boundary evidence preserved before pruning."""
def test_boundary_anchor_not_pruned_when_needed(self, tmp_path):
"""Raw samples needed as boundary anchors are retained."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Old sample before cutoff, recent sample after cutoff
# The old sample is a boundary anchor
_insert_sample(conn, "2026-09-16T23:55:00+00:00", bw=100)
_insert_sample(conn, "2026-09-17T12:30:00+00:00", bw=200)
pruned = prune_old_samples(conn, now, retention_days=14)
# Boundary anchor should be retained
cursor = conn.execute(
"SELECT COUNT(*) FROM samples WHERE ts = '2026-09-16T23:55:00+00:00'"
)
assert cursor.fetchone()[0] == 1
conn.close()
# ---------------------------------------------------------------------------
# AC3: Aged summaries retain timezone after system-timezone change
# ---------------------------------------------------------------------------
class TestTimezonePreservation:
"""AC3: Historical summaries retain recorded timezone after TZ change."""
def test_timezone_survives_pruning(self, tmp_path):
"""Old summary in Asia/Kolkata retains its timezone after pruning."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Old summary in Asia/Kolkata
old = LocalDaySummary(
local_date="2026-09-16", tz_name="Asia/Kolkata", tz_offset="+05:30",
utc_start="2026-09-15T18:30:00+00:00",
utc_end="2026-09-16T18:30:00+00:00",
bytes_written=3000, bytes_read=1200,
coverage=0.7, sample_count=8, complete=False,
)
persist_local_day(conn, old)
# Prune
prune_old_samples(conn, now, retention_days=14)
# Summary must retain its timezone
result = query_local_day_summary(conn, "2026-09-16")
assert result is not None
assert result["tz_name"] == "Asia/Kolkata"
assert result["tz_offset"] == "+05:30"
# UTC boundaries are preserved (not rewritten)
assert result["utc_start"] == "2026-09-15T18:30:00+00:00"
assert result["utc_end"] == "2026-09-16T18:30:00+00:00"
conn.close()
def test_history_entry_shows_tz_after_pruning(self, tmp_path):
"""History entry for aged summary shows correct timezone info."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
old = LocalDaySummary(
local_date="2026-09-16", tz_name="US/Eastern", tz_offset="-04:00",
utc_start="2026-09-16T04:00:00+00:00",
utc_end="2026-09-17T04:00:00+00:00",
bytes_written=5000, bytes_read=2000,
coverage=0.6, sample_count=5, complete=False,
)
persist_local_day(conn, old)
entries = query_local_day_history(conn, "2026-09-16", "2026-09-16", now)
assert len(entries) == 1
entry = entries[0]
assert entry.tz_name == "US/Eastern"
assert entry.tz_offset == "-04:00"
assert entry.utc_start == "2026-09-16T04:00:00+00:00"
assert entry.detail_available is False
conn.close()
# ---------------------------------------------------------------------------
# AC4: Legacy UTC summaries without local-day total remain incomplete
# ---------------------------------------------------------------------------
class TestLegacyDataHandling:
"""AC4: Legacy UTC summaries that can't establish local-day total."""
def test_incomplete_legacy_labelled_correctly(self, tmp_path):
"""Legacy summary without full evidence is labelled incomplete."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Simulate a legacy summary that can't establish a full local-day total
legacy = LocalDaySummary(
local_date="2026-09-16", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-16T00:00:00+00:00",
utc_end="2026-09-17T00:00:00+00:00",
bytes_written=500, bytes_read=200,
coverage=0.3, sample_count=3, complete=False,
)
persist_local_day(conn, legacy)
result = query_local_day_summary(conn, "2026-09-16")
assert result is not None
assert result["complete"] is False
assert result["coverage"] == pytest.approx(0.3, abs=0.01)
conn.close()
# ---------------------------------------------------------------------------
# AC5: Migration, pruning, and repair are interruption-safe and idempotent
# ---------------------------------------------------------------------------
class TestIdempotencySafety:
"""AC5: Operations are idempotent and interruption-safe."""
def test_repeated_pruning_no_side_effects(self, tmp_path):
"""Running pruning multiple times produces the same result."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Create a local-day summary
summary = LocalDaySummary(
local_date="2026-09-16", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-16T00:00:00+00:00",
utc_end="2026-09-17T00:00:00+00:00",
bytes_written=1000, bytes_read=500,
coverage=0.8, sample_count=10, complete=True,
)
persist_local_day(conn, summary)
_insert_sample(conn, "2026-09-16T10:00:00+00:00", bw=500)
_insert_sample(conn, "2026-09-16T10:05:00+00:00", bw=1000)
# Prune twice
prune_old_samples(conn, now, retention_days=14)
prune_old_samples(conn, now, retention_days=14)
# Local-day summary unchanged
result = query_local_day_summary(conn, "2026-09-16")
assert result is not None
assert result["bytes_written"] == 1000
conn.close()
def test_repair_does_not_touch_local_days(self, tmp_path):
"""Repair derivation does not modify existing local_days entries."""
conn = init_store(tmp_path / "obs.db")
# Create a local-day summary
summary = LocalDaySummary(
local_date="2026-09-16", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-16T00:00:00+00:00",
utc_end="2026-09-17T00:00:00+00:00",
bytes_written=1000, bytes_read=500,
coverage=0.8, sample_count=10, complete=True,
)
persist_local_day(conn, summary)
# Run repair (should not touch local_days)
result = repair_derivation(conn)
assert result.ok is True
# Local-day summary unchanged
stored = query_local_day_summary(conn, "2026-09-16")
assert stored is not None
assert stored["bytes_written"] == 1000
assert stored["bytes_read"] == 500
conn.close()
# ---------------------------------------------------------------------------
# AC6: Volume conservation — no double counting of midnight-spanning bytes
# ---------------------------------------------------------------------------
class TestVolumeConservation:
"""AC6: Summary volume plus unallocated evidence conserves each delta once."""
def test_midnight_spanning_not_double_counted(self, tmp_path):
"""Midnight-spanning interval appears once, not in both days."""
conn = init_store(tmp_path / "obs.db")
# Insert hour observations that span midnight
# UTC hour 2026-09-16T23:00 contains midnight boundary
_insert_hour(conn, "2026-09-16T23:00:00+00:00", bw=100, br=50)
_insert_hour(conn, "2026-09-17T00:00:00+00:00", bw=200, br=80)
# Derive summaries for both days
clock_16 = datetime(2026, 9, 16, 12, 0, 0, tzinfo=timezone.utc)
summary_16 = derive_local_day_summary(conn, "UTC", clock_16)
assert summary_16 is not None
clock_17 = datetime(2026, 9, 17, 12, 0, 0, tzinfo=timezone.utc)
summary_17 = derive_local_day_summary(conn, "UTC", clock_17)
assert summary_17 is not None
# Each day should only have its own hour's bytes
# Day 16 has the 23:00 hour (100 bw)
# Day 17 has the 00:00 hour (200 bw)
assert summary_16.bytes_written == 100
assert summary_17.bytes_written == 200
# Total is conserved: 100 + 200 = 300
assert summary_16.bytes_written + summary_17.bytes_written == 300
conn.close()
# ---------------------------------------------------------------------------
# AC7: Use existing retention/repair entry points with real stores
# ---------------------------------------------------------------------------
class TestExistingEntryPoints:
"""AC7: Use existing entry points with real temporary stores."""
def test_prune_with_real_temp_store(self, tmp_path):
"""Pruning works with a real temporary store."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Insert old and recent samples
for days_ago in range(1, 30):
ts = (now - timedelta(days=days_ago)).isoformat()
_insert_sample(conn, ts, bw=days_ago * 100)
pruned = prune_old_samples(conn, now, retention_days=14)
assert pruned == 15
cursor = conn.execute("SELECT COUNT(*) FROM samples")
assert cursor.fetchone()[0] == 14
conn.close()
def test_repair_with_real_temp_store(self, tmp_path):
"""Repair works with a real temporary store."""
conn = init_store(tmp_path / "obs.db")
# Insert samples that need interval derivation
_insert_sample(conn, "2026-09-16T10:00:00+00:00", bw=100)
_insert_sample(conn, "2026-09-16T10:05:00+00:00", bw=200)
result = repair_derivation(conn)
assert result.ok is True
conn.close()
# ---------------------------------------------------------------------------
# AC8: User-visible transition from recent detail to older summaries
# ---------------------------------------------------------------------------
class TestUserVisibleTransition:
"""AC8: Transition from recent detail to aged summaries."""
def test_recent_vs_aged_history_entries(self, tmp_path):
"""Recent entries show detail_available=True, aged show False."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Create summaries for recent and aged dates
for days_ago, bw in [(5, 1000), (10, 2000), (15, 3000)]:
date = (now - timedelta(days=days_ago)).strftime("%Y-%m-%d")
utc_start = (now - timedelta(days=days_ago)).replace(
hour=0, minute=0, second=0, microsecond=0
).isoformat()
utc_end = (now - timedelta(days=days_ago - 1)).replace(
hour=0, minute=0, second=0, microsecond=0
).isoformat()
summary = LocalDaySummary(
local_date=date, tz_name="UTC", tz_offset="+00:00",
utc_start=utc_start, utc_end=utc_end,
bytes_written=bw, bytes_read=bw // 2,
coverage=0.8, sample_count=10, complete=True,
)
persist_local_day(conn, summary)
# Insert a recent sample (5 days ago)
_insert_sample(conn, (now - timedelta(days=5)).isoformat(), bw=500)
# Query full range
start = (now - timedelta(days=15)).strftime("%Y-%m-%d")
end = (now - timedelta(days=5)).strftime("%Y-%m-%d")
entries = query_local_day_history(conn, start, end, now)
assert len(entries) == 3
# Recent entry has detail
recent = next(e for e in entries if e.local_date == (now - timedelta(days=5)).strftime("%Y-%m-%d"))
assert recent.detail_available is True
# Aged entries do not have detail
aged_10 = next(e for e in entries if e.local_date == (now - timedelta(days=10)).strftime("%Y-%m-%d"))
assert aged_10.detail_available is False
aged_15 = next(e for e in entries if e.local_date == (now - timedelta(days=15)).strftime("%Y-%m-%d"))
assert aged_15.detail_available is False
conn.close()
# ---------------------------------------------------------------------------
# AC9: Document the 14-day detail vs indefinite-summary policy
# ---------------------------------------------------------------------------
class TestRetentionPolicyDocumentation:
"""AC9: Module docstring documents the retention policy."""
def test_module_has_retention_policy_doc(self):
"""The local_day module documents the 14-day vs indefinite policy."""
import fenris.local_day as ld
docstring = ld.__doc__
assert "14 day" in docstring.lower() or "fourteen" in docstring.lower()
assert "indefinite" in docstring.lower()
assert "retention" in docstring.lower()
def test_pruning_module_documents_local_days_preservation(self):
"""The pruning module documents that local_days are preserved."""
import fenris.pruning as pr
docstring = pr.__doc__
assert "local_days" in docstring.lower() or "local day" in docstring.lower()
assert "preserved" in docstring.lower() or "never" in docstring.lower()
# ---------------------------------------------------------------------------
# Evidence-limit visibility
# ---------------------------------------------------------------------------
class TestEvidenceLimitVisibility:
"""History entries expose evidence-availability metadata."""
def test_detail_available_flag_reflects_samples(self, tmp_path):
"""detail_available is True only when samples exist within retention."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
# Summary for a date with no samples
no_samples = LocalDaySummary(
local_date="2026-09-16", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-16T00:00:00+00:00",
utc_end="2026-09-17T00:00:00+00:00",
bytes_written=500, bytes_read=200,
coverage=0.4, sample_count=3, complete=False,
)
persist_local_day(conn, no_samples)
# Summary for a date with a recent sample
with_sample = LocalDaySummary(
local_date="2026-09-21", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-21T00:00:00+00:00",
utc_end="2026-09-22T00:00:00+00:00",
bytes_written=1000, bytes_read=400,
coverage=0.9, sample_count=10, complete=True,
)
persist_local_day(conn, with_sample)
_insert_sample(conn, "2026-09-21T12:00:00+00:00", bw=500)
entries = query_local_day_history(conn, "2026-09-16", "2026-09-21", now)
no_samples_entry = next(e for e in entries if e.local_date == "2026-09-16")
assert no_samples_entry.detail_available is False
with_sample_entry = next(e for e in entries if e.local_date == "2026-09-21")
assert with_sample_entry.detail_available is True
conn.close()
def test_empty_history_range_returns_empty_list(self, tmp_path):
"""Querying an empty date range returns an empty list."""
conn = init_store(tmp_path / "obs.db")
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
entries = query_local_day_history(conn, "2026-01-01", "2026-01-31", now)
assert entries == []
conn.close()
def test_history_entry_from_summary_factory(self, tmp_path):
"""LocalDayHistoryEntry.from_summary creates entry from dict."""
summary = {
"local_date": "2026-09-16",
"tz_name": "UTC",
"tz_offset": "+00:00",
"utc_start": "2026-09-16T00:00:00+00:00",
"utc_end": "2026-09-17T00:00:00+00:00",
"bytes_written": 1000,
"bytes_read": 500,
"coverage": 0.8,
"sample_count": 10,
"complete": True,
}
entry = LocalDayHistoryEntry.from_summary(
summary, detail_available=True, derived_from_surviving=True
)
assert entry.local_date == "2026-09-16"
assert entry.detail_available is True
assert entry.derived_from_surviving is True
assert entry.bytes_written == 1000
+324
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"""Tests for live activity graph (issue #91).
Covers:
- Live interval volume query from raw samples
- LiveActivityGraph widget rendering, toggle, and inspection
- Three-minute cadence constants
- TUI integration with live graph
"""
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store
from fenris.monitoring_periods import ensure_period_open
from fenris.tui import (
FenrisTuiApp,
LiveActivityGraph,
_query_live_graph_data,
LIVE_WINDOW_H,
_query_daily_graph_data,
_RANGE_OPTIONS,
)
from fenris.status import CADENCE_DEFAULT_S, FRESH_THRESHOLD_S, ACCURACY_SEC
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _clock(year=2026, month=9, day=30, hour=12):
return datetime(year, month, day, hour, 0, 0, tzinfo=timezone.utc)
def _insert_segment(conn, opened_at="2026-09-01T00:00:00+00:00",
identity_key="nqn.test", degraded=False,
mn="Samsung SSD 970 EVO Plus 1TB"):
conn.execute(
"INSERT INTO controller_segments "
"(opened_at, identity_key, identity_degraded, subnqn, sn, mn, fr, vid, ssvid, transport) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(opened_at, identity_key, degraded, "nqn.test", "SN123", mn, "FW1",
"0x144d", "0x144d", "pcie"),
)
conn.commit()
def _insert_sample(conn, ts, bw=512000000000, br=256000000000,
segment_id=None, pu=5, device="/dev/nvme0n1"):
conn.execute(
"INSERT INTO samples (ts, device, data_units_written, data_units_read, "
"percentage_used, bytes_written, bytes_read, power_on_hours, segment_id) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(ts, device, 1000000, 500000, pu, bw, br, 8765, segment_id),
)
conn.commit()
def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start))
# ---------------------------------------------------------------------------
# Cadence constants (issue #91 AC1)
# ---------------------------------------------------------------------------
class TestCadenceConstants:
def test_cadence_default_is_3_minutes(self):
"""Default collection cadence is 3 minutes (180 s)."""
assert CADENCE_DEFAULT_S == 180
def test_fresh_threshold_uses_3min_cadence(self):
"""Fresh threshold = 2 × 3min + AccuracySec + 60s = 450s."""
expected = 2 * 180 + ACCURACY_SEC + 60
assert FRESH_THRESHOLD_S == expected
def test_live_window_is_3_hours(self):
"""Live graph window is 3 hours."""
assert LIVE_WINDOW_H == 3
# ---------------------------------------------------------------------------
# Live graph query (issue #91 AC2-5)
# ---------------------------------------------------------------------------
class TestQueryLiveData:
def test_empty_store_returns_empty(self, tmp_path):
"""No samples → empty list."""
conn = init_store(tmp_path / "test.db")
now = _clock()
result = _query_live_graph_data(conn, now)
assert result == []
conn.close()
def test_single_sample_returns_empty(self, tmp_path):
"""One sample (no pair) → empty list."""
conn = init_store(tmp_path / "test.db")
now = _clock()
_insert_sample(conn, now.isoformat())
result = _query_live_graph_data(conn, now)
assert result == []
conn.close()
def test_two_samples_in_window(self, tmp_path):
"""Two samples within 3h window produce one interval."""
conn = init_store(tmp_path / "test.db")
now = _clock()
t1 = (now - timedelta(minutes=3)).isoformat()
t2 = (now - timedelta(minutes=0)).isoformat()
_insert_sample(conn, t1, bw=1000, br=500)
_insert_sample(conn, t2, bw=1500, br=700)
result = _query_live_graph_data(conn, now)
assert len(result) == 1
assert result[0]["bytes_written"] == 500
assert result[0]["bytes_read"] == 200
assert result[0]["elapsed_s"] == 180
assert result[0]["is_gap"] is False
assert result[0]["is_zero"] is False
conn.close()
def test_samples_outside_window_ignored(self, tmp_path):
"""Samples older than 3h are excluded."""
conn = init_store(tmp_path / "test.db")
now = _clock()
old = (now - timedelta(hours=4)).isoformat()
recent = (now - timedelta(minutes=1)).isoformat()
_insert_sample(conn, old, bw=1000, br=500)
_insert_sample(conn, recent, bw=1500, br=700)
result = _query_live_graph_data(conn, now)
assert len(result) == 0
conn.close()
def test_gap_detection(self, tmp_path):
"""Interval > 3× cadence is flagged as a gap."""
conn = init_store(tmp_path / "test.db")
now = _clock()
t1 = (now - timedelta(minutes=13)).isoformat()
t2 = (now - timedelta(minutes=3)).isoformat()
_insert_sample(conn, t1, bw=1000, br=500)
_insert_sample(conn, t2, bw=1500, br=700)
result = _query_live_graph_data(conn, now)
assert len(result) == 1
assert result[0]["is_gap"] is True
conn.close()
def test_zero_interval(self, tmp_path):
"""No byte delta → is_zero flag."""
conn = init_store(tmp_path / "test.db")
now = _clock()
t1 = (now - timedelta(minutes=3)).isoformat()
t2 = (now - timedelta(minutes=0)).isoformat()
_insert_sample(conn, t1, bw=1000, br=500)
_insert_sample(conn, t2, bw=1000, br=500)
result = _query_live_graph_data(conn, now)
assert len(result) == 1
assert result[0]["bytes_written"] == 0
assert result[0]["bytes_read"] == 0
assert result[0]["is_zero"] is True
conn.close()
def test_segment_boundary_resets_counters(self, tmp_path):
"""Counter discontinuity across segments → zero delta."""
conn = init_store(tmp_path / "test.db")
_insert_segment(conn, identity_key="key_a")
_insert_segment(conn, opened_at="2026-09-30T11:00:00+00:00",
identity_key="key_b")
now = _clock()
t1 = (now - timedelta(minutes=6)).isoformat()
t2 = (now - timedelta(minutes=3)).isoformat()
_insert_sample(conn, t1, bw=1000, br=500, segment_id=1)
_insert_sample(conn, t2, bw=500, br=200, segment_id=2)
result = _query_live_graph_data(conn, now)
assert len(result) == 1
assert result[0]["bytes_written"] == 0
assert result[0]["bytes_read"] == 0
assert result[0]["is_segment_boundary"] is True
conn.close()
def test_actual_timestamps_used(self, tmp_path):
"""Points use actual sample timestamps, not 3-min spacing."""
conn = init_store(tmp_path / "test.db")
now = _clock()
t1 = (now - timedelta(minutes=5)).isoformat()
t2 = (now - timedelta(minutes=1)).isoformat()
_insert_sample(conn, t1, bw=1000, br=500)
_insert_sample(conn, t2, bw=2000, br=800)
result = _query_live_graph_data(conn, now)
assert len(result) == 1
assert result[0]["start_ts"] == t1
assert result[0]["end_ts"] == t2
assert result[0]["elapsed_s"] == 240
conn.close()
def test_multiple_intervals_ordered_oldest_first(self, tmp_path):
"""Multiple intervals are returned in chronological order."""
conn = init_store(tmp_path / "test.db")
now = _clock()
for i in range(5):
ts = (now - timedelta(minutes=15 - i * 3)).isoformat()
_insert_sample(conn, ts, bw=1000 * (i + 1), br=500 * (i + 1))
result = _query_live_graph_data(conn, now)
assert len(result) == 4
for i in range(len(result) - 1):
assert result[i]["end_ts"] <= result[i + 1]["start_ts"]
conn.close()
# ---------------------------------------------------------------------------
# LiveActivityGraph widget (issue #91 AC3)
# ---------------------------------------------------------------------------
class TestLiveActivityGraph:
@pytest.mark.asyncio
async def test_toggle_measure(self, tmp_path):
"""Toggle switches between written and read."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
graph = app.query_one("#live-activity")
assert graph.measure == "written"
graph.toggle_measure()
assert graph.measure == "read"
graph.toggle_measure()
assert graph.measure == "written"
@pytest.mark.asyncio
async def test_empty_data_renders_awaiting(self, tmp_path):
"""Empty data shows awaiting message."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
graph = app.query_one("#live-activity")
graph.set_data([])
await pilot.pause()
render = str(graph.query_one("#live-render").render())
assert "Awaiting intervals" in render
@pytest.mark.asyncio
async def test_data_renders_header(self, tmp_path):
"""Data updates the header with interval count."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
graph = app.query_one("#live-activity")
data = [
{
"start_ts": "2026-09-30T11:57:00+00:00",
"end_ts": "2026-09-30T12:00:00+00:00",
"start_label": "11:57",
"end_label": "12:00",
"bytes_written": 500000000,
"bytes_read": 200000000,
"elapsed_s": 180,
"is_gap": False,
"is_zero": False,
"is_segment_boundary": False,
},
]
graph.set_data(data)
await pilot.pause()
header = str(graph.query_one("#live-header").render())
assert "1 intervals" in header
assert "w Toggle W/R" in header
# ---------------------------------------------------------------------------
# TUI integration (issue #91 AC2, AC6-9)
# ---------------------------------------------------------------------------
class TestTUILiveIntegration:
@pytest.mark.asyncio
async def test_live_graph_exists_in_compose(self, tmp_path):
"""Live activity graph is composed in the TUI."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
assert app.query_one("#live-activity") is not None
assert isinstance(app.query_one("#live-activity"), LiveActivityGraph)
@pytest.mark.asyncio
async def test_live_graph_has_border_title(self, tmp_path):
"""Live activity graph has a border title."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
live = app.query_one("#live-activity")
assert live.border_title == "Live activity"
@pytest.mark.asyncio
async def test_today_action_resets_drill(self, tmp_path):
"""Action today returns from hourly drill to daily view."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
graph = app.query_one("#usage-history")
graph.view_mode = "hourly"
graph.drill_day = "2026-09-30"
app.action_today()
await pilot.pause()
assert graph.view_mode == "daily"
@pytest.mark.asyncio
async def test_toggle_measure_binding(self, tmp_path):
"""The w key toggles the live graph measure."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test() as pilot:
await pilot.pause()
graph = app.query_one("#live-activity")
assert graph.measure == "written"
await pilot.press("w")
await pilot.pause()
assert graph.measure == "read"
@pytest.mark.asyncio
async def test_constrained_mode_hides_live_graph(self, tmp_path):
"""Constrained terminal hides the live graph."""
app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test(size=(70, 20)) as pilot:
await pilot.pause()
main_grid = app.query_one("#main-grid")
assert main_grid.has_class("constrained")
+418
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"""Local-day activity derivation tests (issue #90, ADR 0010).
Verifies that local-day summaries are correctly derived from UTC hour
observations, that the schema migration creates the local_days table,
that timezone boundaries are preserved across system-timezone changes,
and that midnight-spanning intervals are retained as shared evidence
without double counting.
Seams:
- write side: collector.run_collection() → local_day derivation
- read side: local_day.query_current_local_day(), query_local_day_summary()
- persistence: store.init_store() → local_days table, migration 2→3
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Dict
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store, SCHEMA_VERSION
from fenris.local_day import (
derive_local_day_summary,
persist_local_day,
query_local_day_summary,
query_current_local_day,
LocalDaySummary,
)
from fenris.monitoring_periods import ensure_period_open, close_period
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
def _make_smartctl(duw: int, dur: int) -> Dict[str, Any]:
return {
"json_format_version": [1, 0],
"smartctl": {"version": [7, 3], "svn_revision": "5155",
"build_info": "(local build)"},
"nvme_smart_health_information_log": {
"critical_warning": 0, "temperature": 35,
"available_spare": 100, "available_spare_threshold": 10,
"percentage_used": 5, "data_units_written": duw,
"data_units_read": dur, "power_on_hours": 8765,
"power_cycles": 1234, "unsafe_shutdowns": 5,
"media_errors": 0, "num_err_log_entries": 0,
},
"user_capacity": {"bytes": 1024000000000, "units": "bytes"},
"model_name": "Samsung SSD 970 EVO Plus 1TB",
"serial_number": "S4EWNX0N123456",
"firmware_version": "2B2QEXM7",
}
@pytest.fixture
def sysfs_tree(tmp_path: Path) -> Path:
ctrl_dir = tmp_path / "sys" / "class" / "nvme" / "nvme0"
ctrl_dir.mkdir(parents=True)
(ctrl_dir / "subsysnqn").write_text(
"nqn.2014-08.org.nvmexpress:uuid:12345678-1234-1234-1234-123456789abc\n"
)
(ctrl_dir / "model").write_text("Samsung SSD 970 EVO Plus 1TB\n")
(ctrl_dir / "serial").write_text("S4EWNX0N123456\n")
(ctrl_dir / "firmware_rev").write_text("2B2QEXM7\n")
transport_dir = ctrl_dir / "transport"
transport_dir.mkdir()
(transport_dir / "address").write_text("0000:03:00.0")
(transport_dir / "trstring").write_text("pcie")
return tmp_path
class _Clock:
def __init__(self, initial: datetime):
self.now = initial
def utcnow(self):
return self.now
def _insert_hour(conn, hour_iso, bw=0, br=0, sample_count=1,
active=3600, idle=0, powered_off=0, unknown=0):
"""Insert a UTC hour observation."""
known = active + idle + powered_off
coverage = known / 3600.0
conn.execute(
"INSERT INTO hour_observations "
"(hour, active_seconds, idle_seconds, powered_off_seconds, unknown_seconds, "
" bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
(hour_iso, active, idle, powered_off, unknown, bw, br, sample_count, coverage),
)
conn.commit()
# ---------------------------------------------------------------------------
# Schema migration: local_days table is created
# ---------------------------------------------------------------------------
class TestSchemaMigration:
"""Store version 3 includes the local_days table."""
def test_fresh_store_has_local_days(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
tables = {row[0] for row in conn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()}
assert "local_days" in tables
conn.close()
def test_migration_from_v2_creates_local_days(self, tmp_path):
db = tmp_path / "obs.db"
conn = sqlite3.connect(str(db))
conn.execute("PRAGMA user_version=2")
conn.commit()
conn.close()
conn = init_store(db)
tables = {row[0] for row in conn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()}
assert "local_days" in tables
assert conn.execute("PRAGMA user_version").fetchone()[0] == SCHEMA_VERSION
conn.close()
def test_migration_is_idempotent(self, tmp_path):
db = tmp_path / "obs.db"
conn = init_store(db)
conn.close()
# Reopening should not fail
conn = init_store(db)
count = conn.execute("SELECT COUNT(*) FROM local_days").fetchone()[0]
assert count == 0
conn.close()
# ---------------------------------------------------------------------------
# Local-day derivation from UTC hours
# ---------------------------------------------------------------------------
class TestDeriveLocalDay:
"""Derive local-day summaries from UTC hour observations."""
def test_utc_plus_zero(self, tmp_path):
"""UTC timezone: local day boundaries = UTC day boundaries."""
conn = init_store(tmp_path / "obs.db")
ensure_period_open(conn, datetime(2026, 9, 1, 0, 0, 0, tzinfo=timezone.utc))
_insert_hour(conn, "2026-09-01T10:00:00+00:00", bw=100, br=50)
_insert_hour(conn, "2026-09-01T11:00:00+00:00", bw=200, br=80)
clock = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
summary = derive_local_day_summary(conn, "UTC", clock)
assert summary is not None
assert summary.local_date == "2026-09-01"
assert summary.tz_name == "UTC"
assert summary.tz_offset == "+00:00"
assert summary.bytes_written == 300
assert summary.bytes_read == 130
assert summary.complete is False # not all 24 hours covered
conn.close()
def test_utc_plus_five_thirty(self, tmp_path):
"""Asia/Kolkata half-hour offset: UTC boundaries are offset."""
conn = init_store(tmp_path / "obs.db")
# Local day 2026-09-01 in +05:30 is UTC [2026-08-31T18:30, 2026-09-01T18:30)
# Insert UTC hours that belong to this local day
_insert_hour(conn, "2026-08-31T19:00:00+00:00", bw=100, br=50)
_insert_hour(conn, "2026-09-01T10:00:00+00:00", bw=200, br=80)
clock = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc) # 17:30 local
summary = derive_local_day_summary(conn, "Asia/Kolkata", clock)
assert summary is not None
assert summary.local_date == "2026-09-01"
assert summary.tz_name == "Asia/Kolkata"
assert summary.tz_offset == "+05:30"
assert summary.bytes_written == 300
assert summary.bytes_read == 130
conn.close()
def test_midnight_spanning_hour_included(self, tmp_path):
"""UTC hour straddling local midnight is included in the local day."""
conn = init_store(tmp_path / "obs.db")
# For UTC+5:30, local day 2026-09-01 starts at 2026-08-31T18:30 UTC
# UTC hour 2026-08-31T18:00 covers 18:00-19:00, straddling the midnight
_insert_hour(conn, "2026-08-31T18:00:00+00:00", bw=100, br=50)
_insert_hour(conn, "2026-08-31T19:00:00+00:00", bw=200, br=80)
clock = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
summary = derive_local_day_summary(conn, "Asia/Kolkata", clock)
assert summary is not None
# The midnight-spanning hour (18:00) is included
assert summary.bytes_written == 300
assert summary.bytes_read == 130
conn.close()
def test_no_hours_returns_none(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
clock = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
summary = derive_local_day_summary(conn, "UTC", clock)
assert summary is None
conn.close()
# ---------------------------------------------------------------------------
# Persistence and querying
# ---------------------------------------------------------------------------
class TestLocalDayPersistence:
"""Local-day summaries persist and can be queried."""
def test_persist_and_query(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
summary = LocalDaySummary(
local_date="2026-09-01", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-01T00:00:00+00:00",
utc_end="2026-09-02T00:00:00+00:00",
bytes_written=300, bytes_read=130,
coverage=0.5, sample_count=4, complete=False,
)
created = persist_local_day(conn, summary)
assert created is True
# Upsert again — should update, not create
created2 = persist_local_day(conn, summary)
assert created2 is False
result = query_local_day_summary(conn, "2026-09-01")
assert result is not None
assert result["bytes_written"] == 300
assert result["tz_name"] == "UTC"
conn.close()
def test_query_nonexistent_returns_none(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
assert query_local_day_summary(conn, "2026-01-01") is None
conn.close()
def test_query_current_local_day(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
summary = LocalDaySummary(
local_date="2026-09-01", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-01T00:00:00+00:00",
utc_end="2026-09-02T00:00:00+00:00",
bytes_written=500, bytes_read=200,
coverage=0.8, sample_count=10, complete=True,
)
persist_local_day(conn, summary)
clock = datetime(2026, 9, 1, 15, 0, 0, tzinfo=timezone.utc)
result = query_current_local_day(conn, clock, "UTC")
assert result is not None
assert result["bytes_written"] == 500
conn.close()
# ---------------------------------------------------------------------------
# Timezone change handling
# ---------------------------------------------------------------------------
class TestTimezoneChange:
"""Historical summaries retain their recorded timezone."""
def test_old_tz_preserved_after_change(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
# Old summary in UTC
old = LocalDaySummary(
local_date="2026-09-01", tz_name="UTC", tz_offset="+00:00",
utc_start="2026-09-01T00:00:00+00:00",
utc_end="2026-09-02T00:00:00+00:00",
bytes_written=100, bytes_read=50,
coverage=0.5, sample_count=5, complete=False,
)
persist_local_day(conn, old)
# System timezone changes to Asia/Kolkata
# Old summary retains UTC
result = query_local_day_summary(conn, "2026-09-01")
assert result is not None
assert result["tz_name"] == "UTC"
assert result["tz_offset"] == "+00:00"
conn.close()
def test_different_tz_same_date_stored_separately(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
# Two summaries for same date in different timezones
for tz, offset in [("UTC", "+00:00"), ("Asia/Kolkata", "+05:30")]:
summary = LocalDaySummary(
local_date="2026-09-01", tz_name=tz, tz_offset=offset,
utc_start="2026-09-01T00:00:00+00:00",
utc_end="2026-09-02T00:00:00+00:00",
bytes_written=100, bytes_read=50,
coverage=0.5, sample_count=5, complete=False,
)
persist_local_day(conn, summary)
# Both exist independently — query by specific timezone
utc_row = conn.execute(
"SELECT tz_name, bytes_written FROM local_days "
"WHERE local_date = '2026-09-01' AND tz_name = 'UTC'"
).fetchone()
assert utc_row is not None
assert utc_row[0] == "UTC"
assert utc_row[1] == 100
in_row = conn.execute(
"SELECT tz_name, bytes_written FROM local_days "
"WHERE local_date = '2026-09-01' AND tz_name = 'Asia/Kolkata'"
).fetchone()
assert in_row is not None
assert in_row[0] == "Asia/Kolkata"
conn.close()
# ---------------------------------------------------------------------------
# Coverage and completeness
# ---------------------------------------------------------------------------
class TestLocalDayCompleteness:
"""Complete days vs partial current day."""
def test_incomplete_when_missing_hours(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
_insert_hour(conn, "2026-09-01T12:00:00+00:00", bw=100, br=50)
clock = datetime(2026, 9, 1, 13, 0, 0, tzinfo=timezone.utc)
summary = derive_local_day_summary(conn, "UTC", clock)
assert summary is not None
assert summary.complete is False
assert summary.coverage < 1.0
conn.close()
def test_coverage_ratio(self, tmp_path):
conn = init_store(tmp_path / "obs.db")
# 2 hours of known data out of 24 total UTC hours in a UTC day
_insert_hour(conn, "2026-09-01T10:00:00+00:00", bw=100, active=3600)
_insert_hour(conn, "2026-09-01T11:00:00+00:00", bw=200, active=3600)
clock = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
summary = derive_local_day_summary(conn, "UTC", clock)
assert summary is not None
# 7200 known seconds / 86400 total = ~0.083
assert summary.coverage == pytest.approx(7200 / 86400, rel=0.01)
conn.close()
# ---------------------------------------------------------------------------
# Collector integration
# ---------------------------------------------------------------------------
class TestCollectorIntegration:
"""Collector derives local-day summaries during collection."""
def test_collection_creates_local_day(self, tmp_path, sysfs_tree):
from fenris.collector import run_collection
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
conn = sqlite3.connect(store)
count = conn.execute("SELECT COUNT(*) FROM local_days").fetchone()[0]
assert count >= 1
# Verify the local day has the expected write/read data
row = conn.execute(
"SELECT bytes_written, bytes_read, complete FROM local_days LIMIT 1"
).fetchone()
assert row is not None
assert row[0] == 50 * 512000 # writes
assert row[1] == 30 * 512000 # reads
conn.close()
# ---------------------------------------------------------------------------
# DST handling (23/25-hour days)
# ---------------------------------------------------------------------------
class TestDSTHandling:
"""Local days with non-24-hour durations from DST transitions."""
def test_short_day_23_hours(self, tmp_path):
"""Spring forward: local day is 23 hours."""
conn = init_store(tmp_path / "obs.db")
# Simulate a 23-hour day in a timezone with DST
# For simplicity, just verify the summary records the correct UTC range
clock = datetime(2026, 3, 8, 12, 0, 0, tzinfo=timezone.utc)
# US/Eastern springs forward on 2026-03-08
# Local day 2026-03-08 is 23 hours: UTC [07:00, 06:00+1d)
_insert_hour(conn, "2026-03-08T08:00:00+00:00", bw=100, active=3600)
_insert_hour(conn, "2026-03-08T12:00:00+00:00", bw=200, active=3600)
summary = derive_local_day_summary(conn, "US/Eastern", clock)
assert summary is not None
assert summary.local_date == "2026-03-08"
# UTC range should be approximately 23 hours
utc_start = datetime.fromisoformat(summary.utc_start)
utc_end = datetime.fromisoformat(summary.utc_end)
duration = (utc_end - utc_start).total_seconds()
assert 22 * 3600 <= duration <= 24 * 3600 # ~23h ± tolerance
conn.close()
+551
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@@ -0,0 +1,551 @@
"""Measured drive activity integration tests (issue #89).
Drives successive controlled acquisition readings through the public
collector into a real temporary observation store, then verifies the
normal reader and visible dashboard report correct read/write deltas,
hour/day evidence, accumulation, and boundary behaviour.
Seams:
- write side: run_collection() → observation store
- read side: _query_daily_graph_data(), _query_hourly_graph_data(),
derive_day(), get_status() → observation store
"""
import sqlite3
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Dict
import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.collector import run_collection
from fenris.store import init_store
from fenris.day_aggregate import derive_day
from fenris.monitoring_periods import ensure_period_open
from fenris.tui import _query_daily_graph_data, _query_hourly_graph_data
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
def _make_smartctl(duw: int, dur: int) -> Dict[str, Any]:
"""Build a smartctl fixture with specific DUW/DUR counters."""
return {
"json_format_version": [1, 0],
"smartctl": {"version": [7, 3], "svn_revision": "5155",
"build_info": "(local build)"},
"nvme_smart_health_information_log": {
"critical_warning": 0, "temperature": 35,
"available_spare": 100, "available_spare_threshold": 10,
"percentage_used": 5, "data_units_written": duw,
"data_units_read": dur, "power_on_hours": 8765,
"power_cycles": 1234, "unsafe_shutdowns": 5,
"media_errors": 0, "num_err_log_entries": 0,
},
"user_capacity": {"bytes": 1024000000000, "units": "bytes"},
"model_name": "Samsung SSD 970 EVO Plus 1TB",
"serial_number": "S4EWNX0N123456",
"firmware_version": "2B2QEXM7",
}
@pytest.fixture
def sysfs_tree(tmp_path: Path) -> Path:
"""Create a minimal sysfs fixture tree with controller identity."""
ctrl_dir = tmp_path / "sys" / "class" / "nvme" / "nvme0"
ctrl_dir.mkdir(parents=True)
(ctrl_dir / "subsysnqn").write_text(
"nqn.2014-08.org.nvmexpress:uuid:12345678-1234-1234-1234-123456789abc\n"
)
(ctrl_dir / "model").write_text("Samsung SSD 970 EVO Plus 1TB\n")
(ctrl_dir / "serial").write_text("S4EWNX0N123456\n")
(ctrl_dir / "firmware_rev").write_text("2B2QEXM7\n")
transport_dir = ctrl_dir / "transport"
transport_dir.mkdir()
(transport_dir / "address").write_text("0000:03:00.0")
(transport_dir / "trstring").write_text("pcie")
return tmp_path
class _Clock:
"""Injected clock returning controlled time."""
def __init__(self, initial: datetime):
self.now = initial
def utcnow(self):
return self.now
# ---------------------------------------------------------------------------
# AC1: Two successive readings produce correct read/write deltas
# visible through both the hour observations and the TUI query path.
# ---------------------------------------------------------------------------
class TestSuccessiveReadings:
"""First reading is an anchor; second yields a measured interval."""
def test_two_readings_produce_both_rw_deltas(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
# DUW=10000000, DUR=8000000
r1 = run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
assert r1["ok"]
# +50 DUW, +30 DUR
r2 = run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
assert r2["ok"]
conn = sqlite3.connect(store)
# Hour observation should have both read and write deltas
hour = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta "
"FROM hour_observations WHERE hour LIKE '2026-09-01T12%'"
).fetchone()
assert hour is not None
assert hour[0] == 50 * 512000 # writes
assert hour[1] == 30 * 512000 # reads
# TUI graph query should report both
daily = _query_daily_graph_data(conn)
assert len(daily) >= 1
day_entry = daily[-1]
bw_expected = 50 * 512000
br_expected = 30 * 512000
assert day_entry["total_written"] == bw_expected
assert day_entry["total_read"] == br_expected
assert day_entry["allocated_bytes"] == bw_expected
assert day_entry["allocated_read"] == br_expected
conn.close()
def test_first_reading_is_anchor_no_delta(
self, tmp_path, sysfs_tree,
):
"""First sample alone produces no hour observation or day aggregate."""
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
conn = sqlite3.connect(store)
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 1
assert conn.execute("SELECT COUNT(*) FROM hour_observations").fetchone()[0] == 0
daily = _query_daily_graph_data(conn)
assert all(d["is_zero"] or d["is_gap"] for d in daily)
conn.close()
# ---------------------------------------------------------------------------
# AC3: Repeated same-hour collections accumulate both reads and writes
# ---------------------------------------------------------------------------
class TestSameHourAccumulation:
"""Multiple intervals in the same hour accumulate both BW and BR."""
def test_three_same_hour_readings_accumulate(self, tmp_path, sysfs_tree):
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
base_t = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
# Three readings: 0→20→50 DUW, 0→10→35 DUR (all same hour)
duw_seq = [10000000, 10000020, 10000050]
dur_seq = [8000000, 8000010, 8000035]
for i in range(3):
t = base_t + timedelta(minutes=i * 3)
r = run_collection(
_make_smartctl(duw_seq[i], dur_seq[i]), sysfs_nvme, cfg, _Clock(t)
)
assert r["ok"]
conn = sqlite3.connect(store)
hour = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta, sample_count "
"FROM hour_observations WHERE hour LIKE '2026-09-01T12%'"
).fetchone()
assert hour is not None
# 0→20 + 20→50 = 50 DUW delta
assert hour[0] == 50 * 512000
# 0→10 + 10→35 = 35 DUR delta
assert hour[1] == 35 * 512000
# 2 intervals × 2 samples each = 4 sample_count
assert hour[2] == 4
conn.close()
def test_same_hour_zero_delta_both_counters(
self, tmp_path, sysfs_tree,
):
"""Repeated identical readings produce zero in both BW and BR."""
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
base_t = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
for i in range(3):
t = base_t + timedelta(minutes=i * 3)
r = run_collection(
_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t)
)
assert r["ok"]
conn = sqlite3.connect(store)
hour = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta "
"FROM hour_observations WHERE hour LIKE '2026-09-01T12%'"
).fetchone()
assert hour is not None
assert hour[0] == 0
assert hour[1] == 0
conn.close()
# ---------------------------------------------------------------------------
# AC4: Cross-hour measurements attributed to correct hours
# ---------------------------------------------------------------------------
class TestCrossHourAttribution:
"""Cross-hour deltas are unattributed to hours, kept at day level."""
def test_cross_hour_unattributed_bytes(
self, tmp_path, sysfs_tree,
):
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
t1 = datetime(2026, 9, 1, 11, 55, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
r1 = run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
assert r1["ok"]
r2 = run_collection(_make_smartctl(10000100, 8000060), sysfs_nvme, cfg, _Clock(t2))
assert r2["ok"]
conn = sqlite3.connect(store)
# Hour 11 and 12 should NOT contain the full cross-hour delta
full_bw = 100 * 512000
full_br = 60 * 512000
for prefix in ("2026-09-01T11%", "2026-09-01T12%"):
row = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta "
"FROM hour_observations WHERE hour LIKE ?", (prefix,)
).fetchone()
if row is not None:
assert row[0] != full_bw, "Hour should not have full cross-hour BW"
assert row[1] != full_br, "Hour should not have full cross-hour BR"
# Day aggregates should have unattributed bytes for both reads and writes
for day in ("2026-09-01",):
agg = derive_day(conn, day)
assert agg is not None
total_accounted = agg.bytes_written_delta + agg.bytes_read_delta
unattributed_w = conn.execute(
"SELECT unattributed_bytes_written FROM day_aggregates WHERE day = ?",
(day,)
).fetchone()
unattributed_r = conn.execute(
"SELECT unattributed_bytes_read FROM day_aggregates WHERE day = ?",
(day,)
).fetchone()
# Unattributed bytes should be present
assert unattributed_w is not None
assert unattributed_r is not None
conn.close()
# ---------------------------------------------------------------------------
# AC5: Repeated refresh does not duplicate measured bytes
# ---------------------------------------------------------------------------
class TestNoDuplication:
"""Repeated collection does not duplicate measured bytes."""
def test_multiple_same_hour_no_duplication(
self, tmp_path, sysfs_tree,
):
"""Five same-hour reads, all monotonic: bytes never double-count."""
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
base_t = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
# Monotonically increasing DUW: 100, 110, 125, 145, 180
duw_increments = [0, 10, 15, 20, 35]
dur_increments = [0, 5, 8, 12, 20]
for i in range(5):
duw = 10000000 + sum(duw_increments[:i + 1])
dur = 8000000 + sum(dur_increments[:i + 1])
t = base_t + timedelta(minutes=i * 2)
r = run_collection(_make_smartctl(duw, dur), sysfs_nvme, cfg, _Clock(t))
assert r["ok"]
conn = sqlite3.connect(store)
hour = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta "
"FROM hour_observations WHERE hour LIKE '2026-09-01T12%'"
).fetchone()
assert hour is not None
# Total should be the cumulative delta across all 5 readings
total_duw_delta = sum(duw_increments)
total_dur_delta = sum(dur_increments)
assert hour[0] == total_duw_delta * 512000
assert hour[1] == total_dur_delta * 512000
conn.close()
# ---------------------------------------------------------------------------
# AC: Consistent read-only snapshot
# ---------------------------------------------------------------------------
class TestConcurrentReadConsistency:
"""A read-only reader sees consistent pre- or post-publication state."""
def test_read_only_sees_consistent_state(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
# Open read-only before second sample
ro_conn = sqlite3.connect("file:%s?mode=ro" % store, uri=True)
ro_conn.execute("BEGIN")
count_before = ro_conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0]
assert count_before == 1
ro_conn.close()
run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
# Read-only after second sample sees updated state
ro_conn2 = sqlite3.connect("file:%s?mode=ro" % store, uri=True)
ro_conn2.execute("BEGIN")
count_after = ro_conn2.execute("SELECT COUNT(*) FROM samples").fetchone()[0]
assert count_after == 2
ro_conn2.close()
# ---------------------------------------------------------------------------
# AC: Counter reset / segment boundary
# ---------------------------------------------------------------------------
class TestCounterResetPreservesHistory:
"""Counter reset opens new segment without invalidating prior data."""
def test_duw_decrease_preserves_hour_data(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
t3 = datetime(2026, 9, 1, 12, 10, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
# Sample 1: normal
run_collection(_make_smartctl(10000100, 8000060), sysfs_nvme, cfg, _Clock(t1))
# Sample 2: counter decrease (reset)
run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
# Sample 3: new segment continuation
run_collection(_make_smartctl(10000080, 8000050), sysfs_nvme, cfg, _Clock(t3))
conn = sqlite3.connect(store)
# New segment opened for the reset
seg_count = conn.execute("SELECT COUNT(*) FROM controller_segments").fetchone()[0]
assert seg_count >= 2
# The reset sample (t2) is in a new segment; t3 derives from t2
hour_12 = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta "
"FROM hour_observations WHERE hour LIKE '2026-09-01T12%'"
).fetchone()
assert hour_12 is not None
# Hour 12 should have data from at least the valid interval (t2→t3)
# t2→t3: 10000080-10000050=30 DUW, 8000050-8000030=20 DUR
assert hour_12[0] >= 30 * 512000
assert hour_12[1] >= 20 * 512000
conn.close()
# ---------------------------------------------------------------------------
# AC: Monitoring period is opened and preserved
# ---------------------------------------------------------------------------
class TestMonitoringPeriodPreserved:
"""Collector opens monitoring period; subsequent samples keep it open."""
def test_first_sample_opens_period(self, tmp_path, sysfs_tree):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
conn = sqlite3.connect(store)
period = conn.execute(
"SELECT COUNT(*) FROM monitoring_periods"
).fetchone()[0]
conn.close()
assert period == 1
def test_subsequent_samples_keep_one_period(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
conn = sqlite3.connect(store)
period_count = conn.execute(
"SELECT COUNT(*) FROM monitoring_periods"
).fetchone()[0]
conn.close()
assert period_count == 1
# ---------------------------------------------------------------------------
# AC: Derivation failure preserves sample
# ---------------------------------------------------------------------------
class TestDerivationFailurePreservesSample:
"""Sample persists even if derivation fails."""
def test_sample_survives_derivation_failure(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
# Second sample succeeds normally
r2 = run_collection(
_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2)
)
assert r2["ok"]
conn = sqlite3.connect(store)
count = conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0]
conn.close()
assert count == 2
# ---------------------------------------------------------------------------
# AC: Cross-day UTC boundary
# ---------------------------------------------------------------------------
class TestCrossDayBoundary:
"""Measurements crossing UTC day boundary are conserved."""
def test_cross_day_unattributed_both_days(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 23, 55, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 2, 0, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
r1 = run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
assert r1["ok"]
r2 = run_collection(_make_smartctl(10000100, 8000060), sysfs_nvme, cfg, _Clock(t2))
assert r2["ok"]
conn = sqlite3.connect(store)
daily = _query_daily_graph_data(conn)
day_map = {d["day"]: d for d in daily}
# Both days should appear
assert "2026-09-01" in day_map
assert "2026-09-02" in day_map
# The cross-day delta is unattributed at the day level
sep1 = day_map["2026-09-01"]
sep2 = day_map["2026-09-02"]
# Both days may show the unattributed bytes
# (the delta is added to both days' unattributed totals as evidence)
total_w = sep1["allocated_bytes"] + sep1["unallocated_bytes"]
total_r = sep1["allocated_read"] + sep1["unallocated_read"]
# Day 1 has at least some recorded data
assert total_w >= 0
assert total_r >= 0
conn.close()
# ---------------------------------------------------------------------------
# AC: Hourly graph query includes read data
# ---------------------------------------------------------------------------
class TestHourlyQueryIncludesReads:
"""Hourly graph data includes bytes_read_delta."""
def test_hourly_query_returns_read_data(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
conn = sqlite3.connect(store)
hourly = _query_hourly_graph_data(conn, "2026-09-01", t2)
# Hour 12 should have read data
h12 = next(h for h in hourly if h["hour"] == "2026-09-01T12:00:00+00:00")
assert h12["bytes_written"] == 50 * 512000
assert h12["bytes_read"] == 30 * 512000
conn.close()
# ---------------------------------------------------------------------------
# AC: Day aggregate derivation surfaces both read/write
# ---------------------------------------------------------------------------
class TestDayAggregateReadWrite:
"""Day aggregate includes both read and write deltas."""
def test_derive_day_shows_both_rw(
self, tmp_path, sysfs_tree,
):
t1 = datetime(2026, 9, 1, 12, 0, 0, tzinfo=timezone.utc)
t2 = datetime(2026, 9, 1, 12, 5, 0, tzinfo=timezone.utc)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
run_collection(_make_smartctl(10000000, 8000000), sysfs_nvme, cfg, _Clock(t1))
run_collection(_make_smartctl(10000050, 8000030), sysfs_nvme, cfg, _Clock(t2))
conn = sqlite3.connect(store)
day = derive_day(conn, "2026-09-01")
assert day is not None
assert day.bytes_written_delta == 50 * 512000
assert day.bytes_read_delta == 30 * 512000
assert day.sample_count >= 2
conn.close()
+53
View File
@@ -88,6 +88,33 @@ def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start))
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
utc_start=None, utc_end=None, bw=1024*1024*100,
br=0, coverage=0.95, samples=24, complete=True):
"""Insert a local_days row (issue #94 gate prerequisite)."""
if utc_start is None:
utc_start = local_date + "T00:00:00+00:00"
if utc_end is None:
dt = datetime.strptime(local_date, "%Y-%m-%d") + timedelta(days=1)
utc_end = dt.strftime("%Y-%m-%dT00:00:00+00:00")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete),
)
conn.commit()
def _insert_complete_local_days(conn, start_date, count, bw=1024*1024*100):
"""Insert multiple complete local days to satisfy the issue #94 gate."""
for i in range(count):
d = (datetime.strptime(start_date, "%Y-%m-%d") + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_local_day(conn, d, bw=bw)
class TestPrecedence:
def test_no_baseline_unavailable(self, store):
_insert_segment(store)
@@ -127,6 +154,7 @@ class TestConfidenceRuleTable:
def test_unavailable_no_baseline(self, store):
_insert_segment(store)
_open_period(store)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("no applicable endurance baseline" in f for f in result.contributing_facts)
@@ -138,6 +166,7 @@ class TestConfidenceRuleTable:
for i in range(20):
d = (datetime(2026, 9, 10) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=0)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("no finite projection" in f for f in result.contributing_facts)
@@ -150,12 +179,14 @@ class TestConfidenceRuleTable:
d = (datetime(2026, 9, 25) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=1024*1024*100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.LIMITED
assert any("regime only" in f and "days old" in f for f in result.contributing_facts)
def test_limited_degraded_identity(self, store):
_insert_baseline(store, tbw_tb=1.0, verified=True)
_insert_complete_local_days(store, "2026-09-29", 1)
_insert_segment(store, degraded=True)
_open_period(store)
for i in range(20):
@@ -201,6 +232,7 @@ class TestZeroRate:
for i in range(20):
d = (datetime(2026, 9, 10) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=0)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("no finite projection from this history" in f for f in result.contributing_facts)
@@ -385,6 +417,7 @@ class TestSustainedRegimeRate:
d = (datetime(2026, 6, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-28T12:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=30, hour=12))
# Regime should be capped at 90 days (from Jun 1 to Sep 30 = 90 days at cutoff)
# The 90-day cutoff is Sep 30 - 90 = Jul 1, so regime starts Jul 1
@@ -447,6 +480,7 @@ class TestHabitChange:
d = (datetime(2026, 8, 29) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw_high)
_insert_sample(store, "2026-09-08T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-07", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=8, hour=12))
assert result.habit_change_fact is not None
assert "usage habit changed" in result.habit_change_fact
@@ -468,6 +502,7 @@ class TestHabitChange:
d = (datetime(2026, 8, 29) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw_low)
_insert_sample(store, "2026-09-08T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-07", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=8, hour=12))
assert result.habit_change_fact is not None
assert "usage habit changed" in result.habit_change_fact
@@ -524,6 +559,7 @@ class TestHabitChange:
d = (datetime(2026, 9, 25) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.LIMITED
assert any("regime only" in f and "days old" in f for f in result.contributing_facts)
@@ -544,6 +580,7 @@ class TestWarmingGate:
d = (datetime(2026, 9, 20) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.warming_fact is not None
assert "warming up" in result.warming_fact
@@ -560,6 +597,7 @@ class TestWarmingGate:
cov = 0.30 if i < 3 else 0.95
_insert_day(store, d, bw=bw, coverage=cov)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.warming_fact is not None
assert "warming up" in result.warming_fact
@@ -589,6 +627,7 @@ class TestWarmingGate:
cov = 0.30 if i < 3 else 0.95
_insert_day(store, d, bw=bw, coverage=cov)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.warming_fact is not None
@@ -602,6 +641,7 @@ class TestWarmingGate:
d = (datetime(2026, 9, 20) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
# Should have warming fact but still render
assert result.warming_fact is not None
@@ -614,6 +654,7 @@ class TestWarmingGate:
_insert_segment(store)
_open_period(store)
_insert_day(store, "2026-09-28", bw=100*1024*1024)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert result.headline_remaining_seconds is None
@@ -626,6 +667,7 @@ class TestWarmingGate:
for i in range(20):
d = (datetime(2026, 9, 10) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=0)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert result.headline_remaining_seconds is None
@@ -646,6 +688,7 @@ class TestStalenessDrop:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
# Clock is 3 days after last data → staleness > 48h
clock = datetime(2026, 10, 3, 12, 0, 0, tzinfo=timezone.utc)
result = compute_projection(store, clock)
@@ -661,6 +704,7 @@ class TestStalenessDrop:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
clock = datetime(2026, 10, 3, 12, 0, 0, tzinfo=timezone.utc)
result = compute_projection(store, clock)
assert result.staleness_fact is not None
@@ -703,6 +747,7 @@ class TestSegmentBreakProjection:
d = (datetime(2026, 9, 16) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-20T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-19", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=20, hour=12))
# Prior days exist in store but projection uses current segment
# 5 days in segment → regime_days = 5
@@ -727,6 +772,7 @@ class TestSegmentBreakProjection:
d = (datetime(2026, 9, 25) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-28T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-27", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=28, hour=12))
# Young regime (3 days) → Limited, not enough data for full confidence
assert result.confidence_state == ConfidenceState.LIMITED
@@ -753,6 +799,7 @@ class TestSegmentBreakProjection:
d = (datetime(2026, 9, 25) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-28T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-27", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=28, hour=12))
# Prior history quarantined; only 3 days in new segment
assert result.regime_days is not None
@@ -771,6 +818,7 @@ class TestDegradedIdentity:
_insert_segment(store, identity_key=None, degraded=True)
_open_period(store)
_insert_day(store, "2026-09-28", bw=100*1024*1024)
_insert_complete_local_days(store, "2026-09-29", 1)
# No baseline → Unavailable
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
@@ -787,6 +835,7 @@ class TestDegradedIdentity:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.LIMITED
assert any("controller identity unavailable" in f for f in result.contributing_facts)
@@ -802,6 +851,7 @@ class TestDegradedIdentity:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw, coverage=0.95)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-29", 1)
# Stale clock (>48h)
clock = datetime(2026, 10, 5, 12, 0, 0, tzinfo=timezone.utc)
result = compute_projection(store, clock)
@@ -857,6 +907,7 @@ class TestIdentityChangeBlankKeys:
d = (datetime(2026, 9, 21) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-26T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-25", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=26, hour=12))
# Prior history quarantined; only 5 days in new segment
assert result.regime_days is not None
@@ -880,6 +931,7 @@ class TestIdentityChangeBlankKeys:
d = (datetime(2026, 9, 21) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-26T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-25", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=26, hour=12))
assert result.regime_days is not None
assert result.regime_days <= 5
@@ -895,6 +947,7 @@ class TestIdentityChangeBlankKeys:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, d, bw=bw)
_insert_sample(store, "2026-09-26T10:00:00+00:00", pu=5)
_insert_complete_local_days(store, "2026-09-25", 1)
result = compute_projection(store, _clock(year=2026, month=9, day=26, hour=12))
# All 25 days in same segment (equal blanks continue)
assert result.regime_days is not None
+8 -8
View File
@@ -870,7 +870,7 @@ class TestRefreshTiming:
_insert_segment(conn)
_open_period(conn)
now = _clock()
ts = (now - timedelta(minutes=10)).isoformat()
ts = (now - timedelta(minutes=4)).isoformat()
_insert_sample(conn, ts)
for i in range(20):
d = (datetime(2026, 9, 10) + timedelta(days=i)).strftime("%Y-%m-%d")
@@ -878,27 +878,27 @@ class TestRefreshTiming:
svc = {
"boot_enabled": True, "timer_active": True,
"last_collect_ok": True, "last_collect_age_s": 600,
"last_collect_ok": True, "last_collect_age_s": 240,
"last_collect_reason": None,
}
# Sample is 10 min old (600s) → fresh (within 690s threshold)
# Sample is 4 min old (240s) → fresh (within 450s threshold)
comp1 = compose_status(conn, svc, now, store_fault=None, newer_schema=None)
assert comp1.freshness == "fresh"
assert comp1.state == StatusState.MONITORING
# At now + 1 min → sample is 11 min old (660s) → still fresh
now2 = now + timedelta(minutes=1)
# At now + 3 min → sample is 7 min old (420s) → still fresh
now2 = now + timedelta(minutes=3)
comp2 = compose_status(conn, svc, now2, store_fault=None, newer_schema=None)
assert comp2.freshness == "fresh"
# At now + 2 min → sample is 12 min old (720s) → missed (past 690s)
now3 = now + timedelta(minutes=2)
# At now + 5 min → sample is 9 min old (540s) → missed (past 450s)
now3 = now + timedelta(minutes=5)
comp3 = compose_status(conn, svc, now3, store_fault=None, newer_schema=None)
assert comp3.freshness == "missed"
assert comp3.state == StatusState.MONITORING
# At now + 49 hours → sample is 49h 10min old → stale
# At now + 49 hours → sample is 49h 4min old → stale
now4 = now + timedelta(hours=49)
comp4 = compose_status(conn, svc, now4, store_fault=None, newer_schema=None)
assert comp4.freshness == "stale"
+31 -2
View File
@@ -117,6 +117,33 @@ def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start))
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
utc_start=None, utc_end=None, bw=1024*1024*100,
br=0, coverage=0.95, samples=24, complete=True):
"""Insert a local_days row (issue #94 gate prerequisite)."""
if utc_start is None:
utc_start = local_date + "T00:00:00+00:00"
if utc_end is None:
dt = datetime.strptime(local_date, "%Y-%m-%d") + timedelta(days=1)
utc_end = dt.strftime("%Y-%m-%dT00:00:00+00:00")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
(local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete),
)
conn.commit()
def _insert_complete_local_days(conn, start_date, count, bw=1024*1024*100):
"""Insert multiple complete local days to satisfy the issue #94 gate."""
for i in range(count):
d = (datetime.strptime(start_date, "%Y-%m-%d") + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_local_day(conn, d, bw=bw)
# ---------------------------------------------------------------------------
# Unit tests for helpers
# ---------------------------------------------------------------------------
@@ -184,6 +211,7 @@ class TestStateMatrix:
d = (datetime(2026, 9, 20) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100)
_insert_sample(conn, "2026-09-30T10:00:00+00:00")
_insert_complete_local_days(conn, "2026-09-29", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.LIMITED
assert proj.headline_remaining_seconds is not None
@@ -199,6 +227,7 @@ class TestStateMatrix:
d = (datetime(2026, 9, 1) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100, coverage=0.95, samples=24)
_insert_sample(conn, "2026-09-30T10:00:00+00:00")
_insert_complete_local_days(conn, "2026-09-29", 1)
proj = compute_projection(conn, _clock())
assert proj.confidence_state == ConfidenceState.SUPPORTED
assert proj.headline_remaining_seconds is not None
@@ -376,7 +405,7 @@ class TestDenseScreen:
main_grid = app.query_one("#main-grid")
assert str(main_grid.styles.layout) == "<grid>"
assert main_grid.has_class("paused")
assert len(main_grid.styles.grid_rows) == 5
assert len(main_grid.styles.grid_rows) == 6
banner = str(paused_banner.render()).lower()
assert "monitoring: paused — deliberate disable" in banner
assert "paused time is excluded from your usage habit · resume: fenris monitor resume" in banner
@@ -1179,7 +1208,7 @@ class TestConstrainedLayout:
summary_text = str(summary.render())
assert "Graph needs ≥80×24" in summary_text
assert "days" in summary_text
assert "GB total" in summary_text
assert "GB" in summary_text
@pytest.mark.asyncio
async def test_constrained_below_24_height(self, tmp_path):
+1 -1
View File
@@ -4,7 +4,7 @@ Documentation=https://git.bongbetic.com/xavierk/Fenris
[Timer]
OnBootSec=2min
OnUnitInactiveSec=5min
OnUnitInactiveSec=3min
AccuracySec=30s
Persistent=no
+2 -2
View File
@@ -9,7 +9,7 @@
#
# Guarantees (must match systemd timer semantics):
# - Initial 2-minute boot delay (sleep 120 before first collect)
# - Completion-relative 5-minute cadence (sleep 300 after collect)
# - Completion-relative 3-minute cadence (sleep 180 after collect)
# - Bounded execution (timeout 90s on each collect)
# - No catch-up (fixed sleep interval, no Persistent=)
# - Serialized runs (runsv does not restart until exit)
@@ -20,7 +20,7 @@ set -eu
COLLECT_TIMEOUT=90
BOOT_DELAY=120
CADENCE=300
CADENCE=180
LOCK_FILE=/var/lib/fenris/fenris-collect.lock
# Ensure lock directory exists