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23 Commits
Author SHA1 Message Date
xavierk 1063fa4dae test(signing): align key storage contract with Gitea
Release / release (push) Successful in 2m3s
2026-09-29 04:19:23 +05:30
xavierk 3f2dd6a5a1 fix(release): retain XBPS key through publication
The optional XBPS publisher signs repository metadata after package signing. Remove the runner key only after publication and release asset upload.
2026-09-29 04:06:45 +05:30
xavierk a5b84f7566 docs: align signing ceremony with Gitea workflow 2026-09-29 03:57:24 +05:30
xavierk 917c94fd65 chore: prepare v0.6.0 release 2026-09-29 03:51:35 +05:30
xavierk a49808a247 docs: preserve session style instructions 2026-09-29 03:51:24 +05:30
xavierk 87c5dcdac6 test: fix runit missing-script fixture 2026-09-29 03:51:20 +05:30
xavierk 511905f519 docs: record observation history decisions 2026-09-29 03:51:17 +05:30
xavierk e22b99442e fix: validate complete-day monitoring coverage 2026-09-29 03:34:17 +05:30
xavierk d045e88043 Clarify incomplete history readouts (#103) 2026-09-28 17:54:56 +05:30
xavierk c4524cf654 Preserve historical activity selection (#103) 2026-09-28 17:46:18 +05:30
xavierk f780212a02 fix: follow live activity until inspection (#102) 2026-09-28 16:32:13 +05:30
xavierk 3e1ecc90e4 refactor: consolidate pending recovery checks (#101) 2026-09-28 15:05:47 +05:30
xavierk 59d2dd2634 fix: clarify pending admission failure outcome (#101) 2026-09-28 15:05:02 +05:30
xavierk fd4db45ae1 fix: bound pending publication admission (#101) 2026-09-28 15:02:58 +05:30
xavierk 5aeee7b6f1 fix: guard local-day pruning across monitoring gaps (#100) 2026-09-28 14:37:22 +05:30
xavierk d69753690a fix: prune old detail after publication (#100) 2026-09-28 14:03:37 +05:30
xavierk 017a562566 fix: rebuild trustworthy local-day evidence (#99) 2026-09-28 13:09:00 +05:30
xavierk 7e392c4ea2 fix: conserve local-day activity evidence 2026-09-28 10:21:55 +05:30
xavierk 8a5ef05188 refactor: clarify publication recovery count 2026-09-28 09:06:09 +05:30
xavierk 847bde1be0 test: account for pending publication table 2026-09-28 03:23:46 +05:30
xavierk 0d45f263d2 feat: retain pending publications (#97) 2026-09-28 03:08:00 +05:30
xavierk 7c21b044ba test: own monitoring period fixture commit 2026-09-28 02:26:21 +05:30
xavierk 437ea6be73 fix: publish collection history atomically 2026-09-28 01:56:32 +05:30
48 changed files with 5828 additions and 877 deletions
+7 -2
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@@ -159,7 +159,6 @@ jobs:
gpg --batch --yes --delete-secret-keys "${FINGERPRINT}" gpg --batch --yes --delete-secret-keys "${FINGERPRINT}"
gpg --batch --yes --delete-keys "${FINGERPRINT}" gpg --batch --yes --delete-keys "${FINGERPRINT}"
fi fi
rm -f ~/.ssh/id_xbps
- name: Determine version - name: Determine version
id: version id: version
@@ -327,9 +326,11 @@ jobs:
# Add XBPS artifacts if they exist # Add XBPS artifacts if they exist
XBPS_FILE="fenris-${VERSION}_1.x86_64.xbps" XBPS_FILE="fenris-${VERSION}_1.x86_64.xbps"
if [ -f "${XBPS_FILE}" ]; then if [ -f "${XBPS_FILE}" ]; then
ARTIFACTS+=("${XBPS_FILE}")
if [ -f "${XBPS_FILE}.sig2" ]; then if [ -f "${XBPS_FILE}.sig2" ]; then
ARTIFACTS+=("${XBPS_FILE}")
ARTIFACTS+=("${XBPS_FILE}.sig2") ARTIFACTS+=("${XBPS_FILE}.sig2")
else
echo "::warning::Unsigned XBPS artifact omitted from release assets"
fi fi
fi fi
for FILE in "${ARTIFACTS[@]}"; do for FILE in "${ARTIFACTS[@]}"; do
@@ -343,3 +344,7 @@ jobs:
"https://git.bongbetic.com/api/v1/repos/xavierk/Fenris/releases/${RELEASE_ID}/assets" "https://git.bongbetic.com/api/v1/repos/xavierk/Fenris/releases/${RELEASE_ID}/assets"
fi fi
done done
- name: Remove XBPS signing key
if: always()
run: rm -f ~/.ssh/id_xbps
+4
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@@ -1,3 +1,7 @@
## Session style
After the first user message in each session, load the global `caveman` skill and activate `ultra` mode. Keep `ultra` mode active until the user changes or stops it.
## Agent skills ## Agent skills
## Commit messages ## Commit messages
+13
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@@ -9,6 +9,19 @@ backfill releases from before this changelog.
## [Unreleased] ## [Unreleased]
## [0.6.0] - 2026-09-29
### Added
- Preserve local-day read and write evidence separately, including ambiguous midnight-spanning volume as shared evidence instead of assigning it to either day.
- Keep valid observations pending when publication fails, and recover them without exposing partial history or counting activity twice.
- Preserve live-point inspection and historical activity selection through graph refresh.
### Changed
- Prune old detail only after durable summaries and required boundary evidence are published.
- Require a complete local day to fit within one monitoring period before it can open the endurance outlook.
## [0.5.0] - 2026-09-19 ## [0.5.0] - 2026-09-19
### Changed ### Changed
+16
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@@ -28,6 +28,10 @@ _Avoid_: Daemon uptime, calibration window
The single SQLite database at `/var/lib/fenris/observations.db` that persists the observation history, monitoring periods, hour observations, day aggregates, and endurance baseline. The single SQLite database at `/var/lib/fenris/observations.db` that persists the observation history, monitoring periods, hour observations, day aggregates, and endurance baseline.
_Avoid_: Data directory, history.jsonl, the database (generic) _Avoid_: Data directory, history.jsonl, the database (generic)
**Pending publication**:
The condition where valid acquired observations are retained for recovery but their dependent evidence has not yet been published consistently. Those observations are not part of the reader-visible observation history until publication succeeds; readers retain the last consistent evidence with the pending condition made explicit.
_Avoid_: Successful collection, fresh published evidence
**Store fault**: **Store fault**:
The condition where the observation store is present but cannot be read or trusted — unreadable, corrupt, or written by a newer Fenris — degrading every view that depends on it rather than crashing or guessing. The condition where the observation store is present but cannot be read or trusted — unreadable, corrupt, or written by a newer Fenris — degrading every view that depends on it rather than crashing or guessing.
_Avoid_: Database error, corruption, broken data _Avoid_: Database error, corruption, broken data
@@ -40,6 +44,18 @@ _Avoid_: Hourly record, hourly.jsonl entry
One row per UTC day derived from hour observations; the grain at which usage-habit evidence is judged. One row per UTC day derived from hour observations; the grain at which usage-habit evidence is judged.
_Avoid_: Daily summary, daily stats _Avoid_: Daily summary, daily stats
**Local-day evidence**:
Measured read and write activity attributable to a local calendar day with its recorded timezone and midnight boundaries. Known volumes remain incomplete when gaps or shared local-day evidence prevent an exact total; they are not estimates of the missing activity.
_Avoid_: Estimated daily total, localised UTC day aggregate
**Shared local-day evidence**:
Measured read or write volume spanning a local midnight that cannot honestly be allocated to either adjacent day. It is retained once, separately from either day's known volume, rather than prorated or counted in both days.
_Avoid_: Missing bytes, estimated midnight split
**Activity selection**:
The read/write measurement, date and point being inspected in live or historical drive activity. Live activity follows the newest point until deliberate inspection pins a point; historical selection survives refresh, while an expired live pin is explained before following resumes.
_Avoid_: Projection window, current usage habit
**Usage-history window**: **Usage-history window**:
An exact consecutive span of UTC calendar days ending today, shown from day aggregates; a day without trustworthy evidence remains an explicit gap rather than disappearing or being estimated. An exact consecutive span of UTC calendar days ending today, shown from day aggregates; a day without trustworthy evidence remains an explicit gap rather than disappearing or being estimated.
_Avoid_: Available records, dataset range _Avoid_: Available records, dataset range
+7 -1
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@@ -22,7 +22,7 @@ The Gitea instance Debian registry signs metadata with its own key. Verify the
instance key fingerprint (TOFU hardening): instance key fingerprint (TOFU hardening):
```text ```text
Fingerprint: <print after first release — paste beside the curl one-liner> Fingerprint: F937E81D2FB0736B15BC611884BEBD586DFAC010
``` ```
Add the instance key and repository: Add the instance key and repository:
@@ -263,6 +263,12 @@ measured read/write volumes, not transfer speed; missing evidence breaks the
trace. `?` marks a gap, `~` a partial total, and `u` unallocated daily volume. trace. `?` marks a gap, `~` a partial total, and `u` unallocated daily volume.
Use the selected-point readout for exact values and evidence state. Use the selected-point readout for exact values and evidence state.
Local-day totals use measured intervals inside each recorded local date. An
interval that crosses local midnight appears once as shared evidence and stays
outside both known totals. The dashboard labels current totals as so far and
shows incomplete or unavailable dates without treating them as zero. Older
UTC-only summaries cannot establish exact local-day totals.
- `v` cycles Live / Day / History; the tabs are also clickable. - `v` cycles Live / Day / History; the tabs are also clickable.
- `←` / `→` inspect points; `w` switches read/write volume in every view. - `←` / `→` inspect points; `w` switches read/write volume in every view.
- `[` / `]` browse dates, `g` enters a date, and `t` returns to today/live. - `[` / `]` browse dates, `g` enters a date, and `t` returns to today/live.
@@ -0,0 +1,11 @@
# 10. Preserve local-day activity history with its recorded timezone
Status: Accepted; legacy-history migration and repair implemented in issue #99.
Fenris will retain local-day read/write summaries and the boundary evidence needed to interpret them in the existing observation store before three-minute detail expires after 14 days. Each historical summary retains its recorded timezone and day boundaries; this extends [ADR 0001](0001-observation-store-sqlite.md) while preserving the UTC hour/day evidence used for endurance projections. Collection derives new measured intervals. Ordered schema migration and explicit repair rebuild legacy summaries from surviving evidence; TUI and CLI readers remain read-only.
UTC hourly summaries alone cannot recover a local day whose midnight falls inside a UTC hour. Preserving labelled local summaries trades arbitrary future timezone reinterpretation for bounded detailed-history retention; retaining all fine-grained intervals indefinitely or estimating a split from UTC summaries would violate the agreed retention or evidence semantics.
Only surviving evidence may be used to derive older local summaries. Dates without enough evidence remain incomplete or unavailable; a measured interval crossing midnight is retained once as shared boundary evidence, never prorated or counted in full on both days. A later timezone change does not silently rewrite historical day boundaries.
The agreed presentation and validation requirements are in the [live drive activity specification](../spec/live-drive-activity.md).
@@ -0,0 +1,20 @@
# 11. Preserve valid unpublished observations without exposing partial history
Status: Accepted; implemented on `main` for the planned v0.6.0 release (commit `e22b994`).
A non-invariant derivation failure must not discard valid acquired observations or report a successful collection: retain the observations as pending publication in the existing observation store and retry through the normal scheduled collection path. Readers continue to see the last consistent published evidence, with an explicit pending-publication explanation, rather than combining newly acquired counters with older derived totals. This trades recovery bookkeeping for preservation of measured evidence and consistent read views; neither discarding every valid acquisition on derivation failure nor exposing partially derived history satisfies both requirements.
## Constraints
- The publication distinction applies to every dependent reader, including activity, freshness, controller-segment interpretation and projection inputs, not just the graph. ADR 0001's freshest-sample signal means the freshest published sample; an unpublished observation must not make published evidence appear fresh.
- Pending-work bookkeeping qualifies ADR 0005's recovery-without-new-state wording: it records unfinished evidence publication, not a new health grade or escalation mechanism. Last-collection outcomes still come from the existing native monitoring and logging paths.
- Invariant violations retain [ADR 0005](0005-failure-detection-and-recovery.md)'s write-nothing rule; retaining recoverable work is not permission to persist invalid observations. Actual store faults retain their existing refusal and degradation behavior.
- Recovery and retention remain collector-owned. Repeated recovery must not duplicate measured volume, and required source evidence cannot be pruned before trustworthy derived evidence is durable.
- This extends [ADR 0001](0001-observation-store-sqlite.md)'s consistent read model and [ADR 0010](0010-local-day-activity-history.md)'s preservation rule without another observation store, sampler, background process or retry cadence. Pending-work metadata is not a persisted projection or a replacement for journalled collection outcomes.
- Pending observations use private staging separate from published samples and derived evidence inside the same observation store. This makes exclusion from ordinary reader and projection queries structural, rather than requiring each query to remember a publication filter; the exact table layout remains an implementation detail.
## Bounded pending work
Pending publication has a fixed initial admission capacity of 6,720 observations, equivalent to 14 days at the default three-minute cadence. This is a count limit, not an expiry rule: older pending observations are never discarded merely to admit newer ones.
The collection module attempts recovery and checks capacity before invoking acquisition. If capacity remains exhausted, the collection is unsuccessful and visibly explains why no new observation was acquired; normal scheduled recovery attempts continue. This deliberately accepts a gap in new observations rather than unlimited pending growth or loss of already retained evidence. It is not a deliberate disable, changes no monitoring intent, and never permits fabricated activity across the gap.
+43 -42
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@@ -12,7 +12,7 @@ and destruction.
| UID | `Fenris Packaging <packaging@bongbetic.com>` | | UID | `Fenris Packaging <packaging@bongbetic.com>` |
| Expiry | 2 years from creation | | Expiry | 2 years from creation |
| Hierarchy | Single key — no master/subkey split (single maintainer, manual builds) | | Hierarchy | Single key — no master/subkey split (single maintainer, manual builds) |
| Private key storage | Password manager only | | Private key storage | Gitea repository Actions secret `GPG_PRIVATE_KEY` |
| Public key storage | `packaging/keys/fenris-packaging.asc` in-repo, release notes, docs | | Public key storage | `packaging/keys/fenris-packaging.asc` in-repo, release notes, docs |
| Keyservers | Never — TOFU-over-TLS via raw URL | | Keyservers | Never — TOFU-over-TLS via raw URL |
@@ -37,71 +37,72 @@ gpg --armor --export packaging@bongbetic.com > packaging/keys/fenris-packaging.a
gpg --fingerprint packaging@bongbetic.com gpg --fingerprint packaging@bongbetic.com
``` ```
Save the **private key** to the password manager immediately: Provision the **private key** as the repository Actions secret `GPG_PRIVATE_KEY`.
Run the export on the trusted key-generation machine, then enter its output in
the Gitea repository's Actions secret settings. Do not save it in the checkout,
logs, or a runner directory. The release workflow checks its fingerprint
against the committed public key before signing.
```bash ```bash
gpg --armor --export-secret-keys packaging@bongbetic.com gpg --armor --export-secret-keys packaging@bongbetic.com
``` ```
Then **delete the private key from the local keyring** — it must never persist After provisioning the secret, delete the private key from the key-generation
on any build host: keyring:
```bash ```bash
gpg --delete-secret-keys packaging@bongbetic.com gpg --batch --yes --delete-secret-keys packaging@bongbetic.com
gpg --delete-keys packaging@bongbetic.com gpg --batch --yes --delete-keys packaging@bongbetic.com
``` ```
The committed `fenris-packaging.asc` must contain the real public key (replace The committed `fenris-packaging.asc` must contain the real public key (replace
the placeholder comments). the placeholder comments).
## XBPS signing key
XBPS uses a separate RSA 3072 key. Its private half is stored as the Gitea
repository Actions secret `XBPS_SIGNING_KEY`. The corresponding public key is
published at
`https://git.bongbetic.com/xavierk/Fenris-xbps/raw/branch/stable/keys/fenris-xbps-signing.pub`,
with fingerprint `SHA256:AvPMRlKMikPg75u0iKr8AUkxlfU/Ad4k/S4o2M9W4/w`.
The secret must match that public key.
The release workflow writes the key to `~/.ssh/id_xbps` to sign the XBPS
package. A requested XBPS publication also uses the key to sign repository
metadata. A final `always()` cleanup removes the runner copy after publication
and release asset upload, including when an earlier step fails.
## Per-release signing flow ## Per-release signing flow
Each release performs: **import → sign → delete**. The private key is never Each tagged release performs: **import → verify → sign → delete** on the
stored on disk longer than the release takes. repository-scoped Gitea Actions runner. The Gitea secret remains configured;
the runner's keyring copy is removed after the job.
### Step 1: Import the private key ### Step 1: Push the release tag
Retrieve the private key from the password manager and import it: After updating the version and dated changelog section, push the matching tag:
```bash ```bash
gpg --import /tmp/packaging-key-private.asc git push origin v<version>
rm /f /tmp/packaging-key-private.asc # Shred if possible
``` ```
### Step 2: Build and sign packages ### Step 2: Build, verify, and sign packages
The Makefile target `make release` handles signing automatically when the The release workflow imports `GPG_PRIVATE_KEY`, checks it against
key is in the keyring: `packaging/keys/fenris-packaging.asc`, builds packages, signs the RPM and
clearsigned checksum manifest, validates both, and publishes the release. The
workflow imports `XBPS_SIGNING_KEY` separately and signs the XBPS package.
XBPS publication is optional and also signs repository metadata; it requires
host acceptance and explicit selection during workflow dispatch.
```bash ### Step 3: Verify runner cleanup
make release # builds, signs RPM, clearsigns SHA256SUMS, prints upload steps
```
Under the hood: The workflow's `always()` cleanup removes the GPG key from the runner's keyring
and deletes `~/.ssh/id_xbps`, including after a failed job. Confirm no signing
key remains on the runner after the release job.
1. `rpmsign --addsign` signs the RPM payload with the packaging key The Gitea Actions secret remains the approved signing source. Do not copy it to
(invoked by `make sign-rpm`). the runner or repository outside the workflow.
2. `sha256sum` generates the checksum manifest.
3. `gpg --clearsign` produces `SHA256SUMS.asc` with the packaging key.
### Step 3: Delete the private key
Immediately after signing:
```bash
gpg --delete-secret-keys packaging@bongbetic.com
gpg --delete-keys packaging@bongbetic.com
```
Verify the key is gone:
```bash
gpg --list-keys packaging@bongbetic.com
# Should produce: gpg: keyblock resource ...: No such file or directory
```
The entire import → sign → delete cycle should take minutes. The private key
must never be left in any keyring between releases.
## Key rotation (outline) ## Key rotation (outline)
+117
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@@ -0,0 +1,117 @@
## Problem Statement
Fenris users cannot readily understand how much data their monitored drive reads and writes each day, inspect recent activity as it arrives, or select historical dates from the keyboard. Existing graph shortcuts depend on focus, date navigation is limited, collection and screen refresh default to five minutes, and the graph reads hourly/daily summaries rather than three-minute activity. Source inspection also identified derivation and rendering paths that can leave displayed history incomplete or stale despite newly stored readings.
Users want daily data volume as the primary measurement because writes contribute to drive endurance. They also want an understandable end-of-life outlook even with limited history, without presenting an unsupported hardware-failure prediction or a misleading numerical confidence score.
## Solution
Show both local-day read and write totals, updating from background collection targeted every three minutes. Open on a live last-three-hours graph of written data volume, provide a read/write toggle, and support selected-day and longer-history views. Make date navigation discoverable through visible keyboard hints and clickable equivalents.
Retain three-minute detail for 14 days, followed by durable hourly/daily summaries. Preserve the timezone and boundaries of historical local-day summaries, identify incomplete evidence, and never invent missing activity or divide midnight-spanning measurements by assumption.
Show the usage-adjusted theoretical lifespan after one full local calendar day of observations, provided an applicable endurance baseline and usable write rate exist. Explain that this estimates remaining write endurance if observed habits continue, not a physical failure date. Present categorical projection confidence with contributing facts, including limited-history reasons.
## User Stories
1. As a drive owner, I want to see the amount of data written each local day, so that I can understand the activity that contributes to write endurance.
2. As a drive owner, I want to see the amount of data read each local day, so that I can understand the drive's broader activity.
3. As a drive owner, I want read and write totals shown separately, so that reads are not mistaken for writes consuming the endurance allowance.
4. As a TUI user, I want data-volume units rather than transfer speed as the primary graph measurement, so that the graph answers how much data was transferred.
5. As a TUI user, I want today's totals labelled as totals so far, so that a partial day is not presented as a completed day's usage.
6. As a TUI user, I want the opening graph to show written volume over the last three hours, so that recent activity is visible immediately.
7. As a TUI user, I want to switch the graph between writes and reads while both daily totals remain visible, so that I can inspect either measurement without losing context.
8. As a TUI user, I want each new activity point to include transfers between readings, so that brief bursts between collection runs contribute to the graph.
9. As a TUI user, I want new measurements approximately every three minutes, so that the recent-activity view stays useful while I work.
10. As a user who closes the TUI, I want collection to continue in the background, so that reopening it shows activity gathered while I was away.
11. As a user who reboots, I want observation history and the established monitoring lifecycle preserved, so that restarting does not erase activity or confuse monitoring state.
12. As a keyboard user, I want `[` and `]` to select the previous and next day, so that browsing nearby dates takes one action.
13. As a keyboard user, I want `g` to open a date field, so that I can jump directly to a historical date.
14. As a keyboard user, I want `t` to return to today and the live view, so that I can leave historical browsing immediately.
15. As a keyboard user, I want arrows to inspect graph points, so that I can read the volume, time, and evidence state behind a point.
16. As a new TUI user, I want visible shortcut hints that work from normal launch, so that I do not have to discover an invisible graph-focus prerequisite.
17. As a mouse user, I want clickable equivalents for navigation and the read/write toggle, so that I can use the same features without memorizing shortcuts.
18. As a user entering a date, I want typing and cancelling to remain within the date-entry workflow, so that graph or monitoring shortcuts do not fire accidentally.
19. As a user browsing history, I want background refresh to preserve my selected date and measurement, so that new activity does not interrupt inspection.
20. As a user inspecting daily totals, I want to switch between recent detail, a selected day, and longer history, so that I can understand both short bursts and daily habits.
21. As a user outside UTC, I want calendar navigation and timestamps expressed in labelled local time, so that the displayed day matches my calendar.
22. As a user in a timezone with a half-hour offset, I want local-day totals based on the correct midnight boundary, so that relabelled UTC totals do not misrepresent my day.
23. As a user experiencing a daylight-saving transition, I want real local-day boundaries respected, so that a 23-hour or 25-hour day remains understandable.
24. As a user who changes system timezone, I want historical summaries to retain their recorded timezone and boundaries, so that old totals do not silently change meaning.
25. As a user reviewing recent history, I want three-minute detail available for 14 days, so that I can investigate recent usage.
26. As a user reviewing older history, I want durable hourly/daily summaries after detailed readings expire, so that long-term activity remains available.
27. As a user with legacy history, I want dates that cannot be reconstructed at local-day precision labelled incomplete or unavailable, so that old summaries are not presented with invented precision.
28. As a user whose readings straddle midnight, I want the measured volume preserved once and its uncertain day allocation explained, so that it is neither lost nor counted twice.
29. As a new user with only one reading, I want an awaiting-another-reading state, so that a missing interval is not shown as zero activity.
30. As a user with a measured zero-activity interval, I want zero distinguished from missing evidence, so that a quiet drive is not confused with a collection failure.
31. As a user with missed collection runs, I want gaps, actual timestamps, and freshness facts, so that the graph does not imply measurements that never occurred.
32. As a user who deliberately pauses monitoring, I want paused time excluded according to monitoring-period rules, so that the pause does not distort the observed usage habit.
33. As a user whose controller resets or changes, I want counter and identity boundaries respected, so that unrelated readings do not create invalid activity or lifespan estimates.
34. As a user with a store fault, I want a clear explanation instead of guessed history, so that I know which information cannot be trusted.
35. As a drive owner, I want an estimate of the time until remaining write endurance is consumed, so that I can plan around my observed usage habit.
36. As a new user, I want that estimate withheld until one full local calendar day has been observed, so that a few minutes of activity do not immediately produce a lifespan number.
37. As a user who starts monitoring at noon, I want the partial first day excluded from the full-day gate, so that 24 hours since launch is not mistaken for a complete calendar day.
38. As a user with one complete day but limited history, I want an estimate when the other inputs support it, so that I do not have to wait for high confidence before seeing an outlook.
39. As a user with limited evidence, I want a confidence category and concrete reasons, so that I understand why an estimate may change without being shown an unjustified percentage.
40. As a user without an applicable endurance baseline or usable write rate, I want the missing prerequisite explained, so that unavailable evidence is not disguised as merely low confidence.
41. As a drive owner, I want the endurance estimate distinguished from a physical failure date, so that I do not treat a write-endurance projection as a hardware guarantee.
42. As a CLI user, I want status and the TUI to agree on forecast eligibility and confidence, so that choosing a different interface does not change the facts.
43. As a user on a narrow terminal, I want daily totals, dates, evidence labels, and controls to remain accessible, so that terminal size does not hide the information I need.
44. As a user of existing themes and reduced-motion settings, I want those features preserved when navigation shortcuts change, so that better date controls do not remove accessibility or preferences.
45. As a user upgrading Fenris, I want migration, repair, refresh, and pruning to preserve measured evidence without duplication, so that the new graph can be trusted across restarts and upgrades.
## Implementation Decisions
- Extend the existing collector, observation store, derivation, shared status/projection, service scheduling, and TUI responsibilities. The privileged collector remains the single device-acquisition and store-write owner; the TUI remains an unprivileged reader. Do not add another sampler, service, export layer, or generic plotting abstraction.
- Set the default background collection target to three minutes on both systemd and runit. Update shared cadence/freshness semantics, scheduler definitions, user documentation, and relevant acceptance contracts together. Use actual observation timestamps: delayed runs must not be represented as perfectly spaced measurements or synthetic catch-up points.
- Derive interval read/write volumes from compatible cumulative counters. A first reading is an anchor, not an interval. Preserve controller-segment and monitoring-period boundaries, measured zero, unknown time, deliberate disables, and unsupported evidence. Do not compute deltas across a controller identity or counter discontinuity.
- Make successful collection publish consistent data for dependent read views, using the existing transactional and migration patterns. Ensure raw samples, affected summaries, and retained boundary evidence cannot disagree through partial publication. Validate source-level derivation gaps before implementing fixes; this spec does not claim a runtime diagnosis.
- Keep daily read and write totals separate. The write graph is the default; a read/write toggle changes only the displayed measurement. Each live point represents measured interval volume, not instantaneous speed. Daily totals remain visible independently of graph mode, and graph selection must not redefine the projection's evidence window.
- Open on the latest three hours. Offer selected-day and longer-history views at the precision supported by retained evidence. Selected-point readouts expose time, labelled timezone, data-volume units, and incomplete/gap state. Do not imply that a partial current day or an incompletely allocated day is a known full-day total.
- Use `[` / `]` for previous/next day, `g` for date entry, `t` for today/live, and arrows for point inspection, with visible hints and clickable equivalents. Date entry must handle invalid or unavailable dates visibly and must not leak keystrokes into unrelated actions. Cancelling returns to the prior selection; refresh preserves historical selection until the user changes it.
- Resolve the existing `t` theme binding in favor of the accepted today/live action. Preserve theme selection through a discoverable non-conflicting control and update help consistently. Preserve pause, resume, collect-now, disclosures, quit, and reduced-motion behavior; quitting still does not pause monitoring. No exact replacement theme shortcut was selected in the interview.
- Preserve UTC timestamps and the established UTC hour/day evidence used by endurance calculations. Local-day activity is a separate presentation aggregate using the actual local midnight boundaries, including non-whole-hour offsets and daylight-saving transitions. Timestamp relabelling alone is insufficient.
- Extend the existing versioned observation store to retain local-day read/write summaries with their controller identity/segment context, recorded timezone, local date, UTC boundaries, evidence state, and the information needed to explain unallocated boundary volume. These are required semantics, not prescribed table names or a finalized column layout. The collector derives durable summaries before source evidence is eligible for pruning.
- Retain three-minute detail for 14 days and hourly/daily summaries indefinitely. Keep the boundary evidence and anchors necessary for honest derivation. Do not introduce unbounded retention of all fine-grained intervals solely to support arbitrary historical timezone reinterpretation, and do not delete existing durable evidence merely to simplify migration.
- Preserve the timezone and boundaries recorded for historical summaries when the system timezone changes. New observations follow the current local timezone without rewriting old days; labels must make historical timezone context explicit. Do not blend differently bounded summaries into an apparently exact daily total.
- Allocate a measured interval to a local day only when evidence supports that allocation. Preserve an ambiguous midnight-spanning delta once as shared/unallocated boundary evidence; neither prorate it nor copy its full value into both days. If only coarse legacy UTC summaries survive, show them at their actual precision and mark unreconstructable local-day totals incomplete/unavailable. Repeated derivation and repair must be idempotent.
- Use the existing usage-adjusted theoretical lifespan model and categorical projection confidence. Forecast remaining write endurance from an applicable endurance baseline and a usable observed write rate. Lifetime-written counters consume the endurance allowance; observation-window deltas determine the usage rate. Read volume is not included in endurance consumption.
- Add the agreed complete-observation-day gate to the shared projection contract. A completed local midnight-to-midnight day within a monitoring period with usable evidence is required; a partial first day, deliberately disabled span, or day with no usable evidence cannot independently qualify. Monday-noon setup can first qualify at Wednesday 00:00 after observing Tuesday. Real daylight-saving day boundaries apply; do not replace this with a fixed 24-hour timer.
- Before that gate, explain that Fenris is waiting for a full local observation day. Afterward, allow an estimate with Limited confidence when the existing baseline, rate, identity, and evidence-validity rules permit it; preserve the longer warm-up and Supported-confidence requirements. Missing evidence is still evaluated under the existing validity/coverage rules: completing a date does not turn unknown measurements into known data.
- Show confidence as a category plus contributing facts, never a numeric confidence percentage. Explain missing baseline, unusable/zero rate, stale evidence, and controller changes through their applicable states. Do not fabricate a baseline, suppress a missing prerequisite behind a generic confidence warning, or label the output as a predicted hardware-failure date. Preserve the existing baseline setup path and zero-rate explanation.
- Preserve visible freshness, last-collection outcome, paused state, and store-fault behavior. On constrained terminals retain the existing textual fallback/reflow approach so both daily totals, the selected date, evidence state, confidence, and navigation remain accessible; colour alone must not carry meaning.
- Migrate through the existing ordered, versioned, transactional store mechanism. Preserve observation history, refuse unknown newer schemas, establish new durable evidence before pruning, and keep readers consistent while the collector writes. Migration cannot manufacture local precision from historical data that lacks it.
- This design amends ADR 0003's five-minute default on both native service backends under ADR 0008, adds a first-full-local-day eligibility gate to ADR 0002 while retaining its forecasting and confidence model, and extends ADR 0001 with the local-history decision recorded as ADR 0010. ADR 0005's no-fabrication/store-fault contract remains authoritative. Existing historical design documents are not evidence that the current runtime already implements these amendments.
## Testing Decisions
- Prefer one primary acceptance path: controlled acquisition fixtures and an injected clock enter the existing public collection operation; it writes a real temporary observation store; the normal read path supplies the TUI and CLI. Assert resulting displayed volumes, evidence states, selections, forecast eligibility, and public outcomes. Do not mock the internal derivation or query results under test. A good test would continue passing after an internal refactor and fail when a user's observed result becomes incorrect.
- Reuse existing collector tracer and collector-history tracer fixtures, including SMART JSON, a temporary sysfs tree, the injected clock, and a real SQLite store. Compose these with the existing status reader, projection fixtures, and headless TUI driver rather than creating a new production testing interface. Fix defects that this path reproduces; do not make tests reproduce incorrect implementation arithmetic.
- Exercise normal launch, previous/next date, direct date entry, invalid input, cancel, today/live, arrow inspection, read/write switching, refresh during historical browsing, and hourly/day navigation through user actions. Assert visible graph/readout results, not only private selection indices or row counts. In particular, do not manually force graph focus to make the advertised shortcuts work. Existing headless graph, help, theme, motion, and constrained-terminal tests provide prior art.
- Drive known successive read/write counter changes through collection and verify exact interval volumes and aggregate totals. Cover first reading, first compatible pair, measured zero, repeated collection, repeated read/refresh, restart, same-hour accumulation, and a day-boundary crossing. Preserve each measured byte once: attributable totals plus separately retained unallocated evidence must account for the measured delta without duplication.
- Use the same public path for local midnight, Asia/Kolkata's half-hour boundary, a 23-hour local day, a 25-hour local day, repeated local clock labels, and a system-timezone change. Verify historical labels and boundaries remain stable and ambiguous intervals are not silently divided. Add direct derivation cases only when they prove an invariant that the primary path cannot isolate clearly.
- Advance controlled time beyond the 14-day detail window, invoke normal pruning, restart readers, and verify recent detail expiry with durable summary/boundary preservation. Use existing pruning, repair, legacy-migration, and store-migration tests for focused persistence cases that the main path cannot prove, including interruption, reruns, concurrent readers, unknown newer schema, and inability to reconstruct legacy local-day precision.
- Test the forecast gate at concrete local times: Monday noon setup; Tuesday noon with 24 elapsed hours but no complete observed calendar day; and Wednesday 00:00 after a usable Tuesday. Include partial/disabled/unknown days and daylight-saving dates. After eligibility, verify Limited confidence with reasons and a correct estimate where inputs support one; no baseline, invalid counters, zero rate, stale evidence, and segment changes must preserve the relevant unavailable/degraded behavior. Reuse existing projection and status-parity tests.
- Independently calculate an expected endurance result from known lifetime-written counters, a known applicable baseline, and known observed-window deltas. This guards against confusing lifetime consumption with writes inside the rate window. Rendering, browsing another day, and switching to reads must not change that accounting.
- Add focused checks at the existing native scheduler boundary for the three-minute defaults, serialization, failures, and freshness calculations. Reuse systemd/runit control and packaging tests; use only necessary controlled platform probes to verify actual scheduled/background behavior. No live-system scheduling, pause, install, or reboot action is authorized merely by writing this spec. Report any unavailable platform verification during implementation.
- Verify at 80×24 and below that visible totals, date entry, navigation, confidence, and evidence states remain accessible and that theme/reduced-motion controls still work. Avoid pixel-perfect snapshots and assertions about private widget layout when visible text and action results express the contract.
- The affected modules are collection/derivation, observation-store migration and retention, shared projection/status, native service scheduling, and the TUI. Most acceptance coverage should remain at the single collection-to-visible-result path; targeted persistence and scheduler checks are supporting boundaries, not a new layer of test-only architecture.
## Out of Scope
- Adding SATA/HDD acquisition, another monitored device, or multi-drive management; the selected existing NVMe drive remains the source.
- Reporting occupied/free filesystem capacity, making transfer speed the primary measurement, or treating read bytes as write-endurance consumption.
- Forecasting today's final data volume or future daily activity; the selected forecast is the usage-adjusted theoretical lifespan.
- Predicting a physical hardware-failure date, adding numeric confidence percentages, fabricating endurance baselines, or introducing a new forecasting algorithm when the existing model fits.
- Interpolating missing samples, zero-filling unknown activity, prorating ambiguous midnight intervals, or retroactively rewriting historical timezone boundaries.
- Requiring all historical dates to retain three-minute detail forever or to support arbitrary later timezone regrouping.
- A new web UI, plotting service, generic graph framework, notifications, telemetry, theme redesign, or unrelated dashboard rework.
- Package publication, release creation, installation, host-monitoring changes, or runtime diagnosis of the user's deployed observation store as part of this specification task.
## Further Notes
- This spec synthesizes the completed design conversation. The user accepted daily volume, a live three-hour opening view, the specified keyboard date workflow, local dates, 14-day detail retention, a writes-first graph with read toggle and both totals, an endurance forecast, categorical confidence, one full local observation day before forecasting, and historically labelled timezone boundaries with honest incomplete evidence.
- Related prior issue: [Implement Fenris TUI polish and hourly history](https://git.bongbetic.com/xavierk/Fenris/issues/72). This newer accepted design supersedes its conflicting requirements for the opening graph, writes-only presentation, the `t` theme shortcut, unrestricted historical timezone regrouping, indefinite fine-grained interval retention, and the earlier projection-eligibility presentation. Preserve unrelated requirements for identity, status, themes, motion, accessibility, collector publication, evidence conservation, and CLI parity. Do not treat the older issue as a reason to undo these newly agreed choices.
- ADR 0010 records the deliberate trade-off: retain labelled local summaries and necessary boundary evidence before detailed readings expire, rather than retaining every fine-grained interval for arbitrary future timezone reinterpretation. The design adds durable local activity evidence while retaining UTC projection evidence and the existing collector/reader ownership boundary.
- Source inspection identified normal collection paths that do not consistently rebuild daily totals, existing-hour updates that omit read deltas, cross-day deltas added to both dates, and drill-down rendering overwritten by a loading placeholder. These are concrete investigation/regression targets, not claims of executed reproductions or deployed-store corruption.
- The user confirmed the existing collector-to-store-to-TUI/CLI test boundary, with focused migration/pruning and scheduler checks where needed. Publication is an implementation handoff; no application behavior or test result is claimed solely by creating this issue.
+4 -3
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@@ -44,7 +44,8 @@
- **RPM payload: signed.** rpmsign with the dedicated packaging key, invoked by `make sign-rpm` after the package is built. This is required, not optional: it is the only working dnf-native verification path. - **RPM payload: signed.** rpmsign with the dedicated packaging key, invoked by `make sign-rpm` after the package is built. This is required, not optional: it is the only working dnf-native verification path.
- **deb: unsigned.** apt never verifies payload signatures; trust = instance-signed `InRelease` (signed-by keyring) + TLS + Acquire-By-Hash. Manual-download integrity is covered by SHA256SUMS. - **deb: unsigned.** apt never verifies payload signatures; trust = instance-signed `InRelease` (signed-by keyring) + TLS + Acquire-By-Hash. Manual-download integrity is covered by SHA256SUMS.
- **SHA256SUMS: clearsigned** with the packaging key — the trust anchor for manually downloaded release assets, independent of TLS. - **SHA256SUMS: clearsigned** with the packaging key — the trust anchor for manually downloaded release assets, independent of TLS.
- **Packaging key:** single dedicated key, RSA 3072, UID `Fenris Packaging <packaging@bongbetic.com>`, 2-year expiry, no master/subkey hierarchy (single maintainer, manual builds). Private key lives in the password manager only; each release does import → sign → delete — nothing permanent on any build host. The full ceremony is documented in `docs/install/signing-key-ceremony.md`. - **Packaging key:** single dedicated key, RSA 3072, UID `Fenris Packaging <packaging@bongbetic.com>`, 2-year expiry, no master/subkey hierarchy. The private key is stored as the repository Actions secret `GPG_PRIVATE_KEY`. The release workflow imports it on the self-hosted runner, verifies it against the in-repo public key, signs the RPM and SHA256SUMS, then deletes the runner's keyring copy in an `always()` cleanup step. The full ceremony is documented in `docs/install/signing-key-ceremony.md`.
- **XBPS key:** separate RSA 3072 key stored as the repository Actions secret `XBPS_SIGNING_KEY`; its public key and fingerprint are published in `Fenris-xbps`. The release workflow uses it for the XBPS package and, when publication is explicitly requested, the repository index. A final `always()` cleanup deletes its runner copy after publication and release asset upload.
- **Public key publication:** in-repo `packaging/keys/fenris-packaging.asc` (raw URL doubles as the `.repo` gpgkey target), release notes, docs page. No keyservers — TOFU-over-TLS. - **Public key publication:** in-repo `packaging/keys/fenris-packaging.asc` (raw URL doubles as the `.repo` gpgkey target), release notes, docs page. No keyservers — TOFU-over-TLS.
- **Rotation (outline):** new key published alongside old; rpm signed with the new key; `fenris.repo` gpgkey lists both URLs (dnf accepts multiple); old key dropped after one release cycle. Procedure details stay in map fog. - **Rotation (outline):** new key published alongside old; rpm signed with the new key; `fenris.repo` gpgkey lists both URLs (dnf accepts multiple); old key dropped after one release cycle. Procedure details stay in map fog.
@@ -53,9 +54,9 @@
- **A Release is:** a version tag, its packages in the channel, a Gitea release entry with notes, and a clearsigned SHA256SUMS — all together. **Bare tags are forbidden** (tag without packages + release entry is not a Release). - **A Release is:** a version tag, its packages in the channel, a Gitea release entry with notes, and a clearsigned SHA256SUMS — all together. **Bare tags are forbidden** (tag without packages + release entry is not a Release).
- **Cadence: on-demand.** Tag when user-visible changes or fixes accumulate; no calendar, no empty releases, no frequency SLA, no RC ceremony — fixes ship as a revision bump of the current version. - **Cadence: on-demand.** Tag when user-visible changes or fixes accumulate; no calendar, no empty releases, no frequency SLA, no RC ceremony — fixes ship as a revision bump of the current version.
- **Versioning: plain semver.** Major = breaking CLI/config/unit change; store schema changes ride the natural bump (the forward-only refusal handles old-reader/new-store). - **Versioning: plain semver.** Major = breaking CLI/config/unit change; store schema changes ride the natural bump (the forward-only refusal handles old-reader/new-store).
- **Promotion flow:** tag → `make release` (automated: `make package` → RPM signing via nfpm → SHA256SUMS generation → clearsign → prints registry PUTs + Gitea release steps). The ceremony is documented in `docs/install/signing-key-ceremony.md`. - **Promotion flow:** bump `pyproject.toml` and the matching dated `CHANGELOG.md` section, then push tag `v<version>`. The repository-scoped Gitea Actions workflow builds and validates the deb, rpm, checksums, and release entry. XBPS publication remains a manual dispatch option after host acceptance. `make release` is for local artifact preparation and does not replace the tag workflow as the supported publication path. The ceremony is documented in `docs/install/signing-key-ceremony.md`.
- **Rollback:** installing an older package over a newer store is **unsupported** — the store's forward-only version refusal fails it by design. Documented rollback = restore the observation-store snapshot, then install the old Release. No automatic downgrade machinery exists or will be built. - **Rollback:** installing an older package over a newer store is **unsupported** — the store's forward-only version refusal fails it by design. Documented rollback = restore the observation-store snapshot, then install the old Release. No automatic downgrade machinery exists or will be built.
- **CI:** no runners are registered on the instance today ([Actions runner research](https://git.bongbetic.com/xavierk/Fenris/issues/37)), so the manual flow above is primary. A dormant `.gitea/workflows/release.yml` (`on: push: tags: ['v*']`, single job, host-mode runner) is committed alongside; if it fires, it replicates `make release`. Cheapest future upgrade: one `act_runner` static binary in host-label mode on the existing Gitea host. - **CI:** a repository-scoped self-hosted runner is registered and online (checked 2026-09-29). `.gitea/workflows/release.yml` is the tag-triggered release path; maintainers must confirm runner availability and required Gitea secrets before tagging. The workflow publishes deb/rpm packages and release assets; Void publication is withheld unless the signed XBPS host-release step is explicitly requested.
## 6. Package layout and ownership ## 6. Package layout and ownership
+1 -1
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@@ -1,6 +1,6 @@
[project] [project]
name = "fenris" name = "fenris"
version = "0.5.0" version = "0.6.0"
description = "NVMe wear monitor with persistent TUI" description = "NVMe wear monitor with persistent TUI"
requires-python = ">=3.10" requires-python = ">=3.10"
license = {file = "LICENSE"} license = {file = "LICENSE"}
+132
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@@ -0,0 +1,132 @@
"""User choices for live and historical activity views."""
from collections.abc import Sequence
from dataclasses import dataclass
HISTORY_RANGE_DEFAULT = 14
@dataclass(frozen=True)
class IntervalIdentity:
"""Stable identity for one measured interval."""
start_ts: str
end_ts: str
@dataclass(frozen=True)
class HistoryDayIdentity:
"""Stable identity for one recorded local-day summary."""
local_date: str
timezone: str
utc_start: str
utc_end: str
class ActivitySelection:
"""Keep activity navigation state separate from its Textual rendering."""
def __init__(self) -> None:
self.view = "live"
self.browse_date: str | None = None
self.selected_history_day: HistoryDayIdentity | None = None
self.selected_history_hour: str | None = None
self.history_range_days = HISTORY_RANGE_DEFAULT
self.measure = "written"
self.following_live = True
self.selected_live_interval: IntervalIdentity | None = None
self.live_interval_expired = False
def set_view(self, view: str) -> None:
"""Select live, day, or history view."""
if view not in ("live", "day", "history"):
raise ValueError(f"unknown activity view: {view}")
self.view = view
if view == "live":
self.follow_live()
def select_history_date(
self,
date: str | None,
identity: HistoryDayIdentity | None = None,
) -> None:
"""Keep requested date and evidence identity across refresh."""
if date != self.browse_date or (
identity is not None and identity != self.selected_history_day
):
self.selected_history_hour = None
if date != self.browse_date:
self.selected_history_day = None
self.browse_date = date
if identity is not None:
self.selected_history_day = identity
elif date is None:
self.selected_history_day = None
def select_history_hour(self, hour: str | None) -> None:
"""Keep the chosen historical hour across refresh."""
self.selected_history_hour = hour
def toggle_measure(self) -> str:
"""Switch read/write presentation without changing point selection."""
self.measure = "read" if self.measure == "written" else "written"
return self.measure
def follow_live(self) -> None:
"""Resume following the newest interval and clear stale-pin notices."""
self.view = "live"
self.browse_date = None
self.selected_history_day = None
self.selected_history_hour = None
self.following_live = True
self.selected_live_interval = None
self.live_interval_expired = False
def update_live(self, intervals: Sequence[IntervalIdentity]) -> None:
"""Reconcile the selected interval with the rolling live window."""
if self.following_live:
self.selected_live_interval = intervals[-1] if intervals else None
return
if self.selected_live_interval in intervals:
return
self.following_live = True
self.selected_live_interval = intervals[-1] if intervals else None
self.live_interval_expired = True
def move_live(
self, intervals: Sequence[IntervalIdentity], offset: int,
) -> IntervalIdentity | None:
"""Inspect an adjacent interval by stable identity."""
if not intervals:
return None
if self.selected_live_interval in intervals:
current = intervals.index(self.selected_live_interval)
else:
current = len(intervals) - 1
selected = intervals[max(0, min(len(intervals) - 1, current + offset))]
self._pin_live_interval(selected)
return selected
def inspect_live(
self,
intervals: Sequence[IntervalIdentity],
interval: IntervalIdentity,
) -> None:
"""Pin the interval chosen by mouse inspection."""
if interval in intervals:
self._pin_live_interval(interval)
def selected_live_index(self, intervals: Sequence[IntervalIdentity]) -> int:
"""Return the selected point's current render index, or -1."""
if self.selected_live_interval is None:
return -1
try:
return intervals.index(self.selected_live_interval)
except ValueError:
return -1
def _pin_live_interval(self, interval: IntervalIdentity) -> None:
self.selected_live_interval = interval
self.following_live = False
self.live_interval_expired = False
+14 -10
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@@ -27,7 +27,6 @@ if VENV_DIR.exists():
if site_packages: if site_packages:
sys.path.insert(0, str(site_packages)) sys.path.insert(0, str(site_packages))
from fenris.store import init_store, get_store_path
from fenris.collector import run_collection from fenris.collector import run_collection
@@ -103,14 +102,6 @@ def main() -> None:
config = load_config() config = load_config()
device = config["device"] device = config["device"]
# Interrogate the drive
smartctl_data = interrogate_drive(device)
# Find sysfs path
sysfs_path = find_nvme_sysfs()
if sysfs_path is None:
raise RuntimeError("No NVMe controller found in sysfs")
# Inject a simple clock # Inject a simple clock
class SimpleClock: class SimpleClock:
def utcnow(self): def utcnow(self):
@@ -118,11 +109,24 @@ def main() -> None:
clock = SimpleClock() clock = SimpleClock()
def acquire():
"""Interrogate the drive after pending-work preflight."""
smartctl_data = interrogate_drive(device)
sysfs_path = find_nvme_sysfs()
if sysfs_path is None:
raise RuntimeError("No NVMe controller found in sysfs")
return smartctl_data, sysfs_path
# Run collection # Run collection
result = run_collection(smartctl_data, sysfs_path, config, clock) result = run_collection(config=config, clock=clock, acquire=acquire)
if result["ok"]: if result["ok"]:
print(f"Collection successful: {result['sample_count']} sample(s)") print(f"Collection successful: {result['sample_count']} sample(s)")
if result.get("retention_error"):
print(
f"Retention deferred: {result['retention_error']}",
file=sys.stderr,
)
sys.exit(0) sys.exit(0)
else: else:
print(f"Collection failed: {result['error']}", file=sys.stderr) print(f"Collection failed: {result['error']}", file=sys.stderr)
+304 -101
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@@ -5,19 +5,21 @@ This module implements the thinnest complete write path:
- Acquire controller identity from sysfs - Acquire controller identity from sysfs
- Normalize identity exactly once at write time - Normalize identity exactly once at write time
- Validate every row against store invariants - Validate every row against store invariants
- Commit one well-formed sample - Stage valid observations privately before derivation
- Publish the sample and derived evidence in one collection-owned transaction
No code path outside the collector interrogates the device. No code path outside the collector interrogates the device.
""" """
import json import json
import sqlite3 import sqlite3
from collections.abc import Callable
from datetime import datetime, timezone from datetime import datetime, timezone
from pathlib import Path from pathlib import Path
from typing import Any, Dict, Optional, Tuple from typing import Any, Dict, Optional
from .store import init_store, get_store_path from .derive import derive_hours_from_interval, find_previous_sample
from .monitoring_periods import ensure_period_open from .monitoring_periods import ensure_period_open
from .derive import find_previous_sample, derive_hours_from_interval from .store import init_store, get_store_path
class AcquisitionError(Exception): class AcquisitionError(Exception):
@@ -30,6 +32,29 @@ class InvariantViolationError(Exception):
pass pass
class _PendingDerivationError(Exception):
"""A valid staged observation failed while deriving dependent evidence."""
def __init__(self, cause: Exception):
super().__init__(str(cause))
self.cause = cause
class _PendingRecoveryFailure(Exception):
"""A publication attempt failed after earlier pending rows committed."""
def __init__(self, error: Exception, published_count: int):
derivation_error = isinstance(error, _PendingDerivationError)
cause = error.cause if derivation_error else error
super().__init__(str(cause))
self.cause = cause
self.published_count = published_count
self.derivation_error = derivation_error
PENDING_PUBLICATION_LIMIT = 6720
def acquire_from_smartctl(smartctl_data: Dict[str, Any]) -> Dict[str, Any]: def acquire_from_smartctl(smartctl_data: Dict[str, Any]) -> Dict[str, Any]:
"""Acquire counters and thermal evidence from smartctl -a -j data. """Acquire counters and thermal evidence from smartctl -a -j data.
@@ -195,12 +220,12 @@ def write_sample(
sample: Dict[str, Any], sample: Dict[str, Any],
identity: Dict[str, Any], identity: Dict[str, Any],
conn: sqlite3.Connection, conn: sqlite3.Connection,
clock, observed_at: datetime,
) -> Dict[str, Any]: ) -> Dict[str, Any]:
"""Write one sample to the observation store. """Write one sample to the observation store.
Identity normalization happens exactly once here. Identity normalization happens exactly once here.
Returns segment info for the caller. Returns segment info for the caller. Caller owns the transaction.
""" """
from .segment import find_current_segment, should_open_new_segment, open_segment from .segment import find_current_segment, should_open_new_segment, open_segment
@@ -219,8 +244,7 @@ def write_sample(
# Open new segment if needed # Open new segment if needed
segment_opened = False segment_opened = False
if should_open: if should_open:
now = clock.utcnow() open_segment(conn, observed_at, identity, identity_key, identity_degraded)
open_segment(conn, now, identity, identity_key, identity_degraded)
segment_opened = True segment_opened = True
# Get current segment_id for provenance # Get current segment_id for provenance
@@ -235,8 +259,8 @@ def write_sample(
percentage_used, available_spare, media_errors, power_on_hours, percentage_used, available_spare, media_errors, power_on_hours,
power_cycles, unsafe_shutdowns, temperature_c, power_cycles, unsafe_shutdowns, temperature_c,
data_units_written, data_units_read, bytes_written, bytes_read, data_units_written, data_units_read, bytes_written, bytes_read,
critical_warning, segment_id critical_warning, segment_id, local_tz
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""", """,
( (
sample["ts"], sample["ts"],
@@ -259,122 +283,301 @@ def write_sample(
sample["bytes_read"], sample["bytes_read"],
sample["critical_warning"], sample["critical_warning"],
segment_id, segment_id,
sample.get("local_tz"),
), ),
) )
conn.commit()
return { return {
"segment_opened": segment_opened, "segment_opened": segment_opened,
"segment_reason": reason, "segment_reason": reason,
"identity_key": identity_key, "identity_key": identity_key,
"identity_degraded": identity_degraded, "identity_degraded": identity_degraded,
"segment_id": segment_id, "segment_id": segment_id,
"sample_id": cursor.lastrowid,
} }
def run_collection( def _observation_time(sample: Dict[str, Any]) -> datetime:
smartctl_data: Dict[str, Any], """Read an observation's original timestamp for ordered recovery."""
sysfs_path: Path, observed_at = datetime.fromisoformat(sample["ts"])
config: Dict[str, Any], if observed_at.tzinfo is None:
clock, return observed_at.replace(tzinfo=timezone.utc)
) -> Dict[str, Any]: return observed_at.astimezone(timezone.utc)
"""Run one collection run.
This is the main entry point for the collector. def _publish_observation(
Returns the run outcome. conn: sqlite3.Connection,
""" sample: Dict[str, Any],
identity: Dict[str, Any],
tz_name: str,
) -> None:
"""Publish one staged sample and all dependent evidence in caller transaction."""
observed_at = _observation_time(sample)
sample["local_tz"] = tz_name
validate_sample_invariants(sample, conn)
ensure_period_open(conn, observed_at)
seg_info = write_sample(sample, identity, conn, observed_at)
current_id = seg_info["sample_id"]
prev = find_previous_sample(conn, seg_info.get("segment_id"), current_id)
try: try:
# Acquire counters and thermal evidence if prev is not None:
counters = acquire_from_smartctl(smartctl_data) current = {
"id": current_id,
# Acquire controller identity "ts": sample["ts"],
identity = acquire_from_sysfs(sysfs_path) "bytes_written": sample["bytes_written"],
"bytes_read": sample["bytes_read"],
# Build sample with injected clock "power_on_hours": sample["power_on_hours"],
sample = { "temperature_c": sample["temperature_c"],
"ts": clock.utcnow().isoformat(), "data_units_written": sample["data_units_written"],
"device": config["device"], "data_units_read": sample["data_units_read"],
**counters, "local_tz": tz_name,
**identity, }
} derive_hours_from_interval(conn, prev, current)
from .local_day import record_local_activity_interval
# Initialize store if needed record_local_activity_interval(
conn,
prev,
current,
start_sample_id=prev["id"],
end_sample_id=current_id,
segment_id=seg_info.get("segment_id"),
)
else:
previous_any_segment = find_previous_sample(conn, None, current_id)
if previous_any_segment is not None:
from .local_day import mark_local_activity_gap
mark_local_activity_gap(
conn,
sample["ts"],
tz_name,
previous_any_segment,
)
from .day_aggregate import derive_all_days, persist_day_aggregate
for aggregate in derive_all_days(conn):
persist_day_aggregate(conn, aggregate)
from .local_day import derive_local_day_summary, persist_local_day
local_summary = derive_local_day_summary(conn, tz_name, observed_at)
if local_summary is not None:
persist_local_day(conn, local_summary)
except Exception as exc: # noqa: BLE001 - preserve valid staged evidence for retry.
raise _PendingDerivationError(exc) from exc
def _pending_count(conn: sqlite3.Connection) -> int:
return conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0]
def _stage_observation(
conn: sqlite3.Connection,
sample: Dict[str, Any],
identity: Dict[str, Any],
tz_name: str,
) -> int:
"""Durably stage valid acquired evidence before attempting publication."""
payload = json.dumps(
{"sample": sample, "identity": identity, "tz_name": tz_name},
separators=(",", ":"),
sort_keys=True,
)
cursor = conn.execute(
"INSERT INTO pending_publications (sample_ts, payload) VALUES (?, ?)",
(sample["ts"], payload),
)
return cursor.lastrowid
def _recover_pending(conn: sqlite3.Connection) -> int:
"""Publish pending observations oldest first; stop at first failure."""
recovered = 0
while True:
conn.execute("BEGIN IMMEDIATE")
try:
row = conn.execute(
"SELECT id, payload FROM pending_publications ORDER BY id LIMIT 1"
).fetchone()
if row is None:
conn.rollback()
return recovered
pending_id, payload = row
observation = json.loads(payload)
try:
_publish_observation(
conn,
observation["sample"],
observation["identity"],
observation["tz_name"],
)
except Exception as exc:
raise _PendingRecoveryFailure(exc, recovered) from exc
conn.execute("DELETE FROM pending_publications WHERE id = ?", (pending_id,))
conn.commit()
recovered += 1
except Exception:
conn.rollback()
raise
def _is_store_or_invariant_failure(exc: Exception) -> bool:
return (
isinstance(exc, sqlite3.Error)
and not isinstance(exc, sqlite3.IntegrityError)
) or isinstance(exc, InvariantViolationError)
def _pending_capacity_error(
reason: str,
*,
acquisition_skipped: bool = False,
) -> RuntimeError:
outcome = "; no new observation acquired" if acquisition_skipped else ""
return RuntimeError(
"pending publication capacity full "
f"({PENDING_PUBLICATION_LIMIT} observations){outcome}; "
f"{reason}"
)
def _recover_pending_for_collection(conn: sqlite3.Connection) -> int:
"""Retry queued work and report exhausted capacity without masking store faults."""
try:
return _recover_pending(conn)
except Exception as exc: # noqa: BLE001 - preserve pending evidence on recovery errors.
cause = exc.cause if isinstance(exc, _PendingRecoveryFailure) else exc
if _is_store_or_invariant_failure(cause):
raise cause
try:
capacity_full = _pending_count(conn) >= PENDING_PUBLICATION_LIMIT
except sqlite3.Error:
raise cause
if capacity_full:
raise _pending_capacity_error(f"recovery failed: {cause}") from cause
raise cause
def _recover_pending_for_admission(conn: sqlite3.Connection) -> int:
"""Recover in order, then admit one observation if bounded space remains."""
try:
recovered = _recover_pending(conn)
except _PendingRecoveryFailure as failure:
if (
not failure.derivation_error
or _is_store_or_invariant_failure(failure.cause)
):
raise failure.cause
try:
pending_count = _pending_count(conn)
except sqlite3.Error:
raise failure.cause
if pending_count >= PENDING_PUBLICATION_LIMIT:
raise _pending_capacity_error(
f"recovery failed: {failure.cause}",
acquisition_skipped=True,
) from failure.cause
return failure.published_count
if _pending_count(conn) >= PENDING_PUBLICATION_LIMIT:
raise _pending_capacity_error(
"recovery left the queue full",
acquisition_skipped=True,
)
return recovered
def run_collection(
smartctl_data: Optional[Dict[str, Any]] = None,
sysfs_path: Optional[Path] = None,
config: Optional[Dict[str, Any]] = None,
clock=None,
*,
acquire: Optional[Callable[[], tuple[Dict[str, Any], Path]]] = None,
) -> Dict[str, Any]:
"""Recover old work, acquire one observation, then publish it atomically.
Production callers pass ``acquire`` so recovery and capacity checks run
before device interrogation. Direct sample arguments remain useful for
deterministic collector tests.
"""
conn = None
try:
if config is None or clock is None:
raise ValueError("config and clock are required")
store_path = get_store_path(config) store_path = get_store_path(config)
conn = init_store(store_path) conn = init_store(store_path)
# Run legacy import if needed (idempotent)
from .legacy import import_legacy_history from .legacy import import_legacy_history
history_path = Path(config.get("data_dir", ".")) / "history.jsonl" history_path = Path(config.get("data_dir", ".")) / "history.jsonl"
if history_path.exists(): if history_path.exists():
import_legacy_history(conn, history_path, clock=clock) import_legacy_history(conn, history_path, clock=clock)
published_count = _recover_pending_for_admission(conn)
try: checked_pending_count = _pending_count(conn)
# Ensure monitoring period is open (issue #73 AC2)
ensure_period_open(conn, clock.utcnow())
# Validate invariants
validate_sample_invariants(sample, conn)
# Write sample and get segment info
seg_info = write_sample(sample, identity, conn, clock)
# Derive hour observations from interval with previous sample
try:
# Find the sample we just wrote
cursor = conn.execute("SELECT id FROM samples ORDER BY id DESC LIMIT 1")
current_id = cursor.fetchone()[0]
prev = find_previous_sample(conn, seg_info.get("segment_id"), current_id) # Hold the writer reservation across the capacity check and acquisition.
if prev is not None: # Recheck recovery if another collector appended work during preflight.
# Build current sample dict for derivation while True:
current = { conn.execute("BEGIN IMMEDIATE")
"id": current_id, waiting = _pending_count(conn)
"ts": sample["ts"], if (
"bytes_written": sample["bytes_written"], waiting >= PENDING_PUBLICATION_LIMIT
"bytes_read": sample["bytes_read"], or waiting > checked_pending_count
"power_on_hours": sample["power_on_hours"], ):
"temperature_c": sample["temperature_c"], conn.rollback()
"data_units_written": sample["data_units_written"], published_count += _recover_pending_for_admission(conn)
"data_units_read": sample["data_units_read"], checked_pending_count = _pending_count(conn)
} continue
derive_hours_from_interval(conn, prev, current)
# Rebuild day aggregates from hour observations from .tz_util import detect_system_tz
from .day_aggregate import derive_all_days, persist_day_aggregate tz_name = detect_system_tz()
for agg in derive_all_days(conn): if acquire is not None:
persist_day_aggregate(conn, agg) smartctl_data, sysfs_path = acquire()
if smartctl_data is None or sysfs_path is None:
raise AcquisitionError("No acquired SMART data or sysfs identity")
# Derive local-day summary using system timezone (issue #90) counters = acquire_from_smartctl(smartctl_data)
try: identity = acquire_from_sysfs(sysfs_path)
from .tz_util import detect_system_tz sample = {
from .local_day import derive_local_day_summary, persist_local_day "ts": clock.utcnow().isoformat(),
tz_name = detect_system_tz() "device": config["device"],
clock_now = clock.utcnow() **counters,
local_summary = derive_local_day_summary(conn, tz_name, clock_now) **identity,
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
return {
"ok": True,
"sample_count": 1,
"store_path": str(store_path),
} }
finally: validate_sample_invariants(sample, conn)
conn.close() _stage_observation(conn, sample, identity, tz_name)
conn.commit()
except (AcquisitionError, InvariantViolationError) as e: break
published_count += _recover_pending_for_collection(conn)
retention_error = None
try:
if _pending_count(conn) == 0:
from .pruning import prune_old_samples
prune_old_samples(conn, clock.utcnow())
except Exception as exc: # noqa: BLE001 - publication already committed.
# Publication already committed. Keep collection successful and
# retry atomic retention on the next normal collection.
conn.rollback()
retention_error = str(exc)
return {
"ok": True,
"sample_count": published_count,
"retention_error": retention_error,
"store_path": str(store_path),
}
except Exception as exc:
if conn is not None:
conn.rollback()
return { return {
"ok": False, "ok": False,
"error": str(e), "error": str(exc),
"error_type": type(e).__name__, "error_type": type(exc).__name__,
} }
finally:
if conn is not None:
conn.close()
+4 -7
View File
@@ -29,7 +29,7 @@ def find_previous_sample(
if segment_id is not None: if segment_id is not None:
cursor = conn.execute( cursor = conn.execute(
"SELECT id, ts, bytes_written, bytes_read, power_on_hours, " "SELECT id, ts, bytes_written, bytes_read, power_on_hours, "
" temperature_c, data_units_written, data_units_read " " temperature_c, data_units_written, data_units_read, local_tz "
"FROM samples WHERE id < ? AND segment_id = ? " "FROM samples WHERE id < ? AND segment_id = ? "
"ORDER BY id DESC LIMIT 1", "ORDER BY id DESC LIMIT 1",
(current_sample_id, segment_id), (current_sample_id, segment_id),
@@ -37,7 +37,7 @@ def find_previous_sample(
else: else:
cursor = conn.execute( cursor = conn.execute(
"SELECT id, ts, bytes_written, bytes_read, power_on_hours, " "SELECT id, ts, bytes_written, bytes_read, power_on_hours, "
" temperature_c, data_units_written, data_units_read " " temperature_c, data_units_written, data_units_read, local_tz "
"FROM samples WHERE id < ? " "FROM samples WHERE id < ? "
"ORDER BY id DESC LIMIT 1", "ORDER BY id DESC LIMIT 1",
(current_sample_id,), (current_sample_id,),
@@ -49,7 +49,7 @@ def find_previous_sample(
"id": row[0], "ts": row[1], "bytes_written": row[2], "id": row[0], "ts": row[1], "bytes_written": row[2],
"bytes_read": row[3], "power_on_hours": row[4], "bytes_read": row[3], "power_on_hours": row[4],
"temperature_c": row[5], "data_units_written": row[6], "temperature_c": row[5], "data_units_written": row[6],
"data_units_read": row[7], "data_units_read": row[7], "local_tz": row[8],
} }
@@ -96,6 +96,7 @@ def derive_hours_from_interval(
"""Derive hour observations from a sample pair interval. """Derive hour observations from a sample pair interval.
Returns list of hour observation dicts that were written/updated. Returns list of hour observation dicts that were written/updated.
Caller owns the transaction.
""" """
prev_ts = _parse_ts(prev_sample["ts"]) prev_ts = _parse_ts(prev_sample["ts"])
next_ts = _parse_ts(next_sample["ts"]) next_ts = _parse_ts(next_sample["ts"])
@@ -207,9 +208,6 @@ def _upsert_hour_observation(
"WHERE id = ?", "WHERE id = ?",
(new_bw, new_br, new_samples, existing[0]), (new_bw, new_br, new_samples, existing[0]),
) )
conn.commit()
def _add_unattributed_bytes( def _add_unattributed_bytes(
conn: sqlite3.Connection, conn: sqlite3.Connection,
prev_ts: datetime, prev_ts: datetime,
@@ -241,4 +239,3 @@ def _add_unattributed_bytes(
"unattributed_bytes_read = unattributed_bytes_read + ? WHERE day = ?", "unattributed_bytes_read = unattributed_bytes_read + ? WHERE day = ?",
(bw_delta, br_delta, day), (bw_delta, br_delta, day),
) )
conn.commit()
+1002 -132
View File
File diff suppressed because it is too large Load Diff
+1
View File
@@ -69,6 +69,7 @@ def cmd_enable(args: argparse.Namespace) -> None:
open_period = get_open_period(conn) open_period = get_open_period(conn)
if open_period is None: if open_period is None:
ensure_period_open(conn, now) ensure_period_open(conn, now)
conn.commit()
print("Monitoring period opened at", now.isoformat()) print("Monitoring period opened at", now.isoformat())
else: else:
print("Monitoring period already open (id=%d)" % open_period["id"]) print("Monitoring period already open (id=%d)" % open_period["id"])
+42 -3
View File
@@ -9,14 +9,14 @@ Key contracts:
- End causes: user_disabled, migrated, unknown_gap - End causes: user_disabled, migrated, unknown_gap
""" """
import sqlite3 import sqlite3
from datetime import datetime from datetime import datetime, timezone
def ensure_period_open(conn: sqlite3.Connection, run_time: datetime) -> None: def ensure_period_open(conn: sqlite3.Connection, run_time: datetime) -> None:
"""Ensure a monitoring period is open. If none exists, open one at run_time. """Ensure a monitoring period is open. If none exists, open one at run_time.
Spec §9.8: A collection run finding no open monitoring period opens one Spec §9.8: A collection run finding no open monitoring period opens one
at the run moment, never backdated. at the run moment, never backdated. Caller owns the transaction.
""" """
if get_open_period(conn) is not None: if get_open_period(conn) is not None:
return # Already open — no-op return # Already open — no-op
@@ -26,7 +26,6 @@ def ensure_period_open(conn: sqlite3.Connection, run_time: datetime) -> None:
"INSERT INTO monitoring_periods (started_at) VALUES (?)", "INSERT INTO monitoring_periods (started_at) VALUES (?)",
(ts,), (ts,),
) )
conn.commit()
def close_period( def close_period(
@@ -83,6 +82,46 @@ def is_inside_period(conn: sqlite3.Connection, ts: datetime) -> bool:
return cursor.fetchone() is not None return cursor.fetchone() is not None
def interval_within_one_monitoring_period(
conn: sqlite3.Connection,
start: str | datetime,
end: str | datetime,
) -> bool:
"""Return whether one monitoring period contains the full interval.
Compare timestamps as UTC instants. Malformed timestamps fail closed.
"""
try:
interval_start = as_utc_datetime(start)
interval_end = as_utc_datetime(end)
except (TypeError, ValueError, OverflowError):
return False
if interval_end <= interval_start:
return False
for started_at, ended_at in conn.execute(
"SELECT started_at, ended_at FROM monitoring_periods"
):
try:
period_start = as_utc_datetime(started_at)
period_end = as_utc_datetime(ended_at) if ended_at is not None else None
except (TypeError, ValueError, OverflowError):
continue
if period_start <= interval_start and (
period_end is None or interval_end <= period_end
):
return True
return False
def as_utc_datetime(value: str | datetime) -> datetime:
"""Parse a timestamp and normalize it to an aware UTC datetime."""
parsed = value if isinstance(value, datetime) else datetime.fromisoformat(value)
if parsed.tzinfo is None:
parsed = parsed.replace(tzinfo=timezone.utc)
return parsed.astimezone(timezone.utc)
def wall_clock_in_periods( def wall_clock_in_periods(
conn: sqlite3.Connection, conn: sqlite3.Connection,
start: datetime, start: datetime,
+12 -13
View File
@@ -28,6 +28,7 @@ from datetime import datetime, timedelta, timezone
from enum import Enum from enum import Enum
from typing import Any, Dict, List, Optional, Tuple from typing import Any, Dict, List, Optional, Tuple
from .monitoring_periods import interval_within_one_monitoring_period
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Constants (spec §6) # Constants (spec §6)
@@ -187,7 +188,7 @@ def _wall_clock_in_range(conn, start, end):
def _resolve_baseline(conn, current_segment): def _resolve_baseline(conn, current_segment):
baseline = _get_baseline(conn) baseline = _get_baseline(conn)
facts = [] facts: list[str] = []
if baseline is None: if baseline is None:
return BaselineTier.NONE, None, "no baseline", facts return BaselineTier.NONE, None, "no baseline", facts
@@ -494,18 +495,16 @@ def _has_complete_local_day(conn):
within a monitoring period that has usable observation evidence. within a monitoring period that has usable observation evidence.
This is the prerequisite for showing an endurance outlook. This is the prerequisite for showing an endurance outlook.
""" """
row = conn.execute( local_days = conn.execute(
"SELECT 1 FROM local_days WHERE complete = 1 LIMIT 1" "SELECT utc_start, utc_end FROM local_days "
).fetchone() "WHERE complete = 1 "
return row is not None "AND activity_precision IN ('measured', 'coarse') "
"AND activity_intervals > 0 ORDER BY id"
).fetchall()
def _count_complete_local_days(conn): return any(
"""Count the number of complete local observation days.""" interval_within_one_monitoring_period(conn, utc_start, utc_end)
row = conn.execute( for utc_start, utc_end in local_days
"SELECT COUNT(*) FROM local_days WHERE complete = 1" )
).fetchone()
return row[0] if row else 0
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
+349 -145
View File
@@ -1,131 +1,321 @@
"""Raw sample pruning per spec §3.4, ST-5. """Expire detail only after UTC and local_days replacement evidence is durable.
Raw samples are pruned opportunistically to 14 days. The 14-day cutoff never overrides local-day preservation, shared boundary
Hour observations and day aggregates are retained indefinitely. evidence, publication recovery, or the newest sample's successor-anchor role.
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 import sqlite3
from datetime import datetime, timedelta, timezone from datetime import date, datetime, timedelta
from .monitoring_periods import (
as_utc_datetime,
interval_within_one_monitoring_period,
)
# Spec §3.4: Raw-sample retention
RAW_SAMPLE_RETENTION_DAYS = 14 RAW_SAMPLE_RETENTION_DAYS = 14
def _parse_sample_time(value: str) -> datetime | None:
"""Parse old timestamps conservatively; malformed legacy values stay."""
try:
parsed = datetime.fromisoformat(value)
except (TypeError, ValueError):
return None
return as_utc_datetime(parsed)
def _sample_rows(conn: sqlite3.Connection) -> list[tuple]:
return conn.execute(
"SELECT id, ts, segment_id, bytes_written, bytes_read, local_tz "
"FROM samples ORDER BY id"
).fetchall()
def _required_hour_window(
start: datetime,
end: datetime,
) -> tuple[datetime, datetime, int] | None:
"""Return first hour, exclusive end and count for [start, end)."""
if end <= start:
return None
first_hour = start.replace(minute=0, second=0, microsecond=0)
last_hour = end.replace(minute=0, second=0, microsecond=0)
try:
exclusive_end = last_hour if end == last_hour else last_hour + timedelta(hours=1)
except OverflowError:
return None
count = int((exclusive_end - first_hour).total_seconds() // 3600)
return first_hour, exclusive_end, count
def _has_utc_replacement(
conn: sqlite3.Connection,
previous: tuple,
current: tuple,
start: datetime,
end: datetime,
) -> bool:
window = _required_hour_window(start, end)
if window is None:
return False
first_hour, exclusive_end, expected_hour_count = window
actual_hour_count = conn.execute(
"SELECT COUNT(*) FROM hour_observations WHERE hour >= ? AND hour < ?",
(
first_hour.strftime("%Y-%m-%dT%H:00:00+00:00"),
exclusive_end.strftime("%Y-%m-%dT%H:00:00+00:00"),
),
).fetchone()[0]
if actual_hour_count < expected_hour_count:
return False
start_written, end_written = previous[3], current[3]
start_read, end_read = previous[4], current[4]
if None in (start_written, end_written, start_read, end_read):
return False
if end_written < start_written or end_read < start_read:
return False
bytes_written = end_written - start_written
bytes_read = end_read - start_read
if expected_hour_count == 1:
totals = conn.execute(
"SELECT bytes_written_delta, bytes_read_delta FROM hour_observations "
"WHERE hour = ?",
(first_hour.strftime("%Y-%m-%dT%H:00:00+00:00"),),
).fetchone()
else:
totals = conn.execute(
"SELECT unattributed_bytes_written, unattributed_bytes_read "
"FROM day_aggregates WHERE day = ?",
(start.date().isoformat(),),
).fetchone()
if totals is None or totals[0] < bytes_written or totals[1] < bytes_read:
return False
last_day = (exclusive_end - timedelta(microseconds=1)).date()
expected_day_count = (last_day - first_hour.date()).days + 1
actual_day_count = conn.execute(
"SELECT COUNT(*) FROM day_aggregates WHERE day >= ? AND day <= ?",
(first_hour.date().isoformat(), last_day.isoformat()),
).fetchone()[0]
return actual_day_count >= expected_day_count
def _local_day_row_exists(
conn: sqlite3.Connection,
local_date: str,
tz_name: str,
) -> bool:
return conn.execute(
"SELECT 1 FROM local_days WHERE local_date = ? AND tz_name = ?",
(local_date, tz_name),
).fetchone() is not None
def _local_day_bounds(
conn: sqlite3.Connection,
local_date: str,
tz_name: str,
) -> tuple[datetime, datetime] | None:
row = conn.execute(
"SELECT utc_start, utc_end FROM local_days "
"WHERE local_date = ? AND tz_name = ?",
(local_date, tz_name),
).fetchone()
if row is None:
return None
start = _parse_sample_time(row[0])
end = _parse_sample_time(row[1])
if start is None or end is None or end <= start:
return None
return start, end
def _contains_instant(
conn: sqlite3.Connection,
local_date: str,
tz_name: str,
instant: datetime,
) -> bool:
bounds = _local_day_bounds(conn, local_date, tz_name)
return bounds is not None and bounds[0] <= instant < bounds[1]
def _monitoring_period_covers(
conn: sqlite3.Connection,
start: datetime,
end: datetime,
) -> bool:
"""Require continuous monitoring before a local-day total replaces detail."""
return interval_within_one_monitoring_period(conn, start, end)
def _has_local_replacement(
conn: sqlite3.Connection,
previous: tuple,
current: tuple,
start: datetime,
end: datetime,
) -> bool:
start_tz = previous[5]
end_tz = current[5]
if not end_tz:
return False
start_id, end_id = previous[0], current[0]
segment_id = current[2]
if (
start_tz
and start_tz == end_tz
and segment_id is not None
and _monitoring_period_covers(conn, start, end)
):
known_days = conn.execute(
"SELECT local_days.utc_start, local_days.utc_end "
"FROM local_days JOIN local_day_segment_totals "
" ON local_day_segment_totals.local_day_id = local_days.id "
"WHERE local_days.tz_name = ? "
" AND local_days.activity_precision IN ('measured', 'coarse') "
" AND local_days.last_sample_id >= ? "
" AND local_days.activity_intervals > 0 "
" AND local_day_segment_totals.segment_id = ? "
" AND local_day_segment_totals.activity_intervals > 0",
(end_tz, end_id, segment_id),
).fetchall()
for row in known_days:
bounds_start = _parse_sample_time(row[0])
bounds_end = _parse_sample_time(row[1])
if (
bounds_start is not None
and bounds_end is not None
and bounds_start <= start
and end < bounds_end
):
return True
evidence = conn.execute(
"SELECT bytes_written, bytes_read, reason, start_local_date, end_local_date, "
" start_tz_name, end_tz_name, started_at, ended_at "
"FROM local_day_unallocated_evidence "
"WHERE start_sample_id = ? AND end_sample_id = ?",
(start_id, end_id),
).fetchone()
if evidence is None:
return False
start_written, end_written = previous[3], current[3]
start_read, end_read = previous[4], current[4]
if None in (start_written, end_written, start_read, end_read):
return False
if end_written < start_written or end_read < start_read:
return False
# The source IDs uniquely identify this interval. Confirm its durable
# deltas and retain every recorded local-day boundary it touches.
if (end_written - start_written, end_read - start_read) != evidence[:2]:
return False
if evidence[5] != start_tz or evidence[6] != end_tz:
return False
if evidence[2] not in {
"counter_discontinuity",
"legacy_timezone_unknown",
"timezone_change",
"monitoring_period",
"local_midnight",
"segment_unknown",
}:
return False
if _parse_sample_time(evidence[7]) != start or _parse_sample_time(evidence[8]) != end:
return False
affected_days: set[tuple[str, str]] = set()
if start_tz:
affected_days.add((evidence[3], start_tz))
affected_days.add((evidence[4], end_tz))
if start_tz and start_tz == end_tz and evidence[3] < evidence[4]:
day = date.fromisoformat(evidence[3]) + timedelta(days=1)
last_day = date.fromisoformat(evidence[4])
while day < last_day:
affected_days.add((day.isoformat(), end_tz))
day += timedelta(days=1)
if not all(
_local_day_row_exists(conn, local_date, zone)
for local_date, zone in affected_days
):
return False
if start_tz and not _contains_instant(conn, evidence[3], start_tz, start):
return False
return _contains_instant(conn, evidence[4], end_tz, end)
def _interval_has_replacement(
conn: sqlite3.Connection,
previous: tuple,
current: tuple,
) -> bool:
start = _parse_sample_time(previous[1])
end = _parse_sample_time(current[1])
if start is None or end is None or end <= start:
return False
try:
return (
_has_utc_replacement(conn, previous, current, start, end)
and _has_local_replacement(conn, previous, current, start, end)
)
except (sqlite3.Error, ValueError, OverflowError, TypeError):
# Missing or unreadable derived evidence never authorizes deletion.
return False
def _sample_needs_preservation(
conn: sqlite3.Connection,
rows: list[tuple],
index: int,
newest_id: int,
) -> bool:
sample = rows[index]
segment_id = sample[2]
if segment_id is None or conn.execute(
"SELECT 1 FROM controller_segments WHERE id = ?",
(segment_id,),
).fetchone() is None:
return True
if sample[0] == newest_id:
# Keep newest sample as the source anchor for the next collection.
return True
pairs = []
if index > 0 and rows[index - 1][2] == segment_id:
pairs.append((rows[index - 1], sample))
if index + 1 < len(rows) and rows[index + 1][2] == segment_id:
pairs.append((sample, rows[index + 1]))
return any(
not _interval_has_replacement(conn, previous, current)
for previous, current in pairs
)
def needs_boundary_anchor( def needs_boundary_anchor(
conn: sqlite3.Connection, conn: sqlite3.Connection,
sample_ts: str, sample_ts: str,
now: datetime, now: datetime,
) -> bool: ) -> bool:
"""Check if a sample is needed as a boundary anchor for derivation. """Return whether an old sample still carries unreplaced evidence."""
sample_time = _parse_sample_time(sample_ts)
A sample is a boundary anchor if: cutoff = as_utc_datetime(now) - timedelta(days=RAW_SAMPLE_RETENTION_DAYS)
1. It's older than retention_days (strictly before cutoff) if sample_time is None:
2. It has a next sample that forms an interval spanning the retention boundary return True
3. The interval hasn't been derived yet if sample_time >= cutoff:
The interval spans the boundary if:
- The sample is before the cutoff, AND
- The next sample is strictly after the cutoff (or within retention)
"""
from .derive import _parse_ts
sample_dt = _parse_ts(sample_ts)
retention_cutoff = now - timedelta(days=RAW_SAMPLE_RETENTION_DAYS)
# If sample is within retention (strictly after cutoff), not an anchor
if sample_dt > retention_cutoff:
return False return False
# Check if this sample has a next sample rows = _sample_rows(conn)
cursor = conn.execute( matching = [index for index, row in enumerate(rows) if row[1] == sample_ts]
"""SELECT ts, segment_id FROM samples WHERE ts > ? ORDER BY ts LIMIT 1""", if not matching:
(sample_ts,), return False
newest_id = rows[-1][0] if rows else -1
return any(
_sample_needs_preservation(conn, rows, index, newest_id)
for index in matching
) )
next_row = cursor.fetchone()
if next_row is None:
# No next sample - this is the last sample
# It's not needed for derivation (no interval to derive)
return False
next_ts_str = next_row[0]
next_segment_id = next_row[1]
next_dt = _parse_ts(next_ts_str)
# Check if the next sample is strictly after the cutoff (i.e., interval spans boundary)
if next_dt > retention_cutoff:
# The interval spans the retention boundary
# Check if the interval needs derivation
# Get current sample's segment_id
cursor = conn.execute(
"SELECT segment_id FROM samples WHERE ts = ?",
(sample_ts,),
)
current_segment_row = cursor.fetchone()
current_segment_id = current_segment_row[0] if current_segment_row else None
# If different segments, no interval to derive
if current_segment_id != next_segment_id:
return False
# Check if the interval [sample_ts, next_ts] needs derivation
# It needs derivation if any hour in the span lacks an observation
current_hour = sample_dt.replace(minute=0, second=0, microsecond=0)
end_hour = next_dt.replace(minute=0, second=0, microsecond=0)
while current_hour <= end_hour:
cursor = conn.execute(
"SELECT id FROM hour_observations WHERE hour = ?",
(current_hour.isoformat(),),
)
if cursor.fetchone() is None:
# This hour lacks an observation - interval needs derivation
return True
current_hour += timedelta(hours=1)
# All hours in the span have observations - interval is derived
return False
else:
# The interval doesn't span the boundary (both samples are old)
# Check if the interval needs derivation
# Get current sample's segment_id
cursor = conn.execute(
"SELECT segment_id FROM samples WHERE ts = ?",
(sample_ts,),
)
current_segment_row = cursor.fetchone()
current_segment_id = current_segment_row[0] if current_segment_row else None
# If different segments, no interval to derive
if current_segment_id != next_segment_id:
return False
# Check if the interval [sample_ts, next_ts] needs derivation
current_hour = sample_dt.replace(minute=0, second=0, microsecond=0)
end_hour = next_dt.replace(minute=0, second=0, microsecond=0)
while current_hour <= end_hour:
cursor = conn.execute(
"SELECT id FROM hour_observations WHERE hour = ?",
(current_hour.isoformat(),),
)
if cursor.fetchone() is None:
# This hour lacks an observation - interval needs derivation
# But only keep if the interval is significant (spans multiple hours)
# or if the next sample is the last sample before a gap
gap = (next_dt - sample_dt).total_seconds()
if gap > 24 * 3600: # Significant gap (> 24 hours)
return True
current_hour += timedelta(hours=1)
# All hours in the span have observations or gap is not significant
return False
def prune_old_samples( def prune_old_samples(
@@ -133,36 +323,50 @@ def prune_old_samples(
now: datetime, now: datetime,
retention_days: int = RAW_SAMPLE_RETENTION_DAYS, retention_days: int = RAW_SAMPLE_RETENTION_DAYS,
) -> int: ) -> int:
"""Remove raw samples older than retention_days. """Delete expired samples only after every dependent fact is durable.
Retains boundary anchors required for successor evidence. Pending publications are stored separately and never selected here. A
sample stays when it is the newest successor anchor, has an unpublishable
Args: neighbour interval, lacks UTC or local-day replacement evidence, or has a
conn: Connection to the observation store. timestamp that cannot be safely interpreted.
now: Current UTC time.
retention_days: Number of days to retain (default 14).
Returns:
Number of samples removed.
""" """
cutoff = (now - timedelta(days=retention_days)).isoformat() cutoff = as_utc_datetime(now) - timedelta(days=retention_days)
owns_transaction = not conn.in_transaction
# Get all samples older than cutoff savepoint = "fenris_sample_retention"
cursor = conn.execute( if owns_transaction:
"SELECT id, ts FROM samples WHERE ts < ? ORDER BY ts", conn.execute("BEGIN IMMEDIATE")
(cutoff,), else:
) conn.execute(f"SAVEPOINT {savepoint}")
old_samples = cursor.fetchall()
try:
removed = 0 rows = _sample_rows(conn)
for sample_id, sample_ts in old_samples: if not rows:
# Check if this sample is a boundary anchor if owns_transaction:
if needs_boundary_anchor(conn, sample_ts, now): conn.commit()
continue # Skip - it's a boundary anchor else:
conn.execute(f"RELEASE SAVEPOINT {savepoint}")
# Remove the sample return 0
conn.execute("DELETE FROM samples WHERE id = ?", (sample_id,))
removed += 1 newest_id = rows[-1][0]
expired = []
conn.commit() for index, row in enumerate(rows):
return removed sample_time = _parse_sample_time(row[1])
if sample_time is None or sample_time >= cutoff:
continue
if _sample_needs_preservation(conn, rows, index, newest_id):
continue
expired.append(row[0])
conn.executemany("DELETE FROM samples WHERE id = ?", ((sample_id,) for sample_id in expired))
if owns_transaction:
conn.commit()
else:
conn.execute(f"RELEASE SAVEPOINT {savepoint}")
return len(expired)
except Exception:
if owns_transaction:
conn.rollback()
else:
conn.execute(f"ROLLBACK TO SAVEPOINT {savepoint}")
conn.execute(f"RELEASE SAVEPOINT {savepoint}")
raise
+26 -26
View File
@@ -1,8 +1,9 @@
"""Historical repair and retention (issue #74). """Historical repair and retention (issue #74, #99).
Re-derives hour observations and day aggregates from surviving raw samples, Re-derives hour observations and day aggregates from surviving raw samples,
with idempotent and interruption-safe guarantees. Preserves import markers, rebuilds legacy local-day evidence from surviving samples or trustworthy UTC
boundary anchors, and valid historical summaries. hours, and preserves import markers, boundary anchors, and valid summaries.
Repair is idempotent and interruption-safe.
Contracts: Contracts:
- Idempotent: running repair multiple times produces no duplicates - Idempotent: running repair multiple times produces no duplicates
@@ -71,7 +72,6 @@ def _set_repair_in_progress(conn: sqlite3.Connection, in_progress: bool) -> None
"INSERT OR REPLACE INTO store_metadata (key, value) VALUES (?, ?)", "INSERT OR REPLACE INTO store_metadata (key, value) VALUES (?, ?)",
("repair_in_progress", "true" if in_progress else "false"), ("repair_in_progress", "true" if in_progress else "false"),
) )
conn.commit()
def _update_repair_status(conn: sqlite3.Connection, result: RepairResult) -> None: def _update_repair_status(conn: sqlite3.Connection, result: RepairResult) -> None:
@@ -100,8 +100,6 @@ def _update_repair_status(conn: sqlite3.Connection, result: RepairResult) -> Non
"INSERT OR REPLACE INTO store_metadata (key, value) VALUES (?, ?)", "INSERT OR REPLACE INTO store_metadata (key, value) VALUES (?, ?)",
("days_derived", str(days)), ("days_derived", str(days)),
) )
conn.commit()
def get_repair_status(conn: sqlite3.Connection) -> RepairStatus: def get_repair_status(conn: sqlite3.Connection) -> RepairStatus:
@@ -364,20 +362,16 @@ def repair_derivation(
elif hasattr(clock, 'utcnow'): elif hasattr(clock, 'utcnow'):
clock = clock.utcnow() clock = clock.utcnow()
# Check if repair is already in progress
if is_repair_in_progress(conn):
return RepairResult(
ok=False,
error="Repair already in progress",
)
# Mark repair as in progress
_set_repair_in_progress(conn, True)
result = RepairResult(ok=True) result = RepairResult(ok=True)
try: try:
# Begin transaction # A committed in-progress marker may be stale after process death.
# SQLite's write lock serializes active repairs; retry idempotently.
if conn.in_transaction:
conn.commit()
conn.execute("BEGIN IMMEDIATE")
_set_repair_in_progress(conn, True)
conn.commit()
conn.execute("BEGIN IMMEDIATE") conn.execute("BEGIN IMMEDIATE")
# 1. Find and derive intervals from sample pairs # 1. Find and derive intervals from sample pairs
@@ -407,7 +401,12 @@ def repair_derivation(
result.days_created += 1 result.days_created += 1
else: else:
result.days_updated += 1 result.days_updated += 1
# Rebuild only legacy or unavailable local-day activity. This shares
# the migration derivation and leaves trustworthy published totals intact.
from .local_day import repair_legacy_local_day_evidence
repair_legacy_local_day_evidence(conn)
# 3. Count boundary anchors retained # 3. Count boundary anchors retained
now = clock if isinstance(clock, datetime) else datetime.now(timezone.utc) now = clock if isinstance(clock, datetime) else datetime.now(timezone.utc)
cursor = conn.execute("SELECT ts FROM samples ORDER BY ts") cursor = conn.execute("SELECT ts FROM samples ORDER BY ts")
@@ -428,21 +427,22 @@ def repair_derivation(
) )
result.legacy_summaries_preserved = cursor.fetchone()[0] result.legacy_summaries_preserved = cursor.fetchone()[0]
# Commit transaction # Publish derived rows and completion status together. A process
conn.commit() # interruption rolls back the in-progress marker with the repair.
# Update repair status
_update_repair_status(conn, result) _update_repair_status(conn, result)
_set_repair_in_progress(conn, False)
conn.commit()
except Exception as e: except Exception as e:
conn.rollback() conn.rollback()
try:
_set_repair_in_progress(conn, False)
conn.commit()
except sqlite3.Error:
conn.rollback()
logger.error("Repair failed: %s", e) logger.error("Repair failed: %s", e)
return RepairResult( return RepairResult(
ok=False, ok=False,
error=str(e), error=str(e),
) )
finally:
# Mark repair as complete
_set_repair_in_progress(conn, False)
return result return result
+17
View File
@@ -115,6 +115,7 @@ class StatusComposition:
# Sample counts for waiting explanations # Sample counts for waiting explanations
sample_count: int = 0 sample_count: int = 0
day_count: int = 0 day_count: int = 0
pending_publication_count: int = 0
# Whether the status dot should blink (only Monitoring) # Whether the status dot should blink (only Monitoring)
should_blink: bool = False should_blink: bool = False
@@ -286,6 +287,7 @@ def compose_status(
freshness_age_s = None freshness_age_s = None
sample_count = 0 sample_count = 0
day_count = 0 day_count = 0
pending_publication_count = 0
deliberately_paused = False deliberately_paused = False
if conn is None and store_fault is None and newer_schema is None: if conn is None and store_fault is None and newer_schema is None:
@@ -315,6 +317,10 @@ def compose_status(
sample_count = cursor.fetchone()[0] sample_count = cursor.fetchone()[0]
cursor = conn.execute("SELECT COUNT(*) FROM day_aggregates") cursor = conn.execute("SELECT COUNT(*) FROM day_aggregates")
day_count = cursor.fetchone()[0] day_count = cursor.fetchone()[0]
schema_version = conn.execute("PRAGMA user_version").fetchone()[0]
if schema_version >= 4:
cursor = conn.execute("SELECT COUNT(*) FROM pending_publications")
pending_publication_count = cursor.fetchone()[0]
except sqlite3.Error as exc: except sqlite3.Error as exc:
store_fault = str(exc) store_fault = str(exc)
@@ -328,6 +334,7 @@ def compose_status(
freshness = "unknown" freshness = "unknown"
freshness_age_s = None freshness_age_s = None
sample_count = day_count = 0 sample_count = day_count = 0
pending_publication_count = 0
deliberately_paused = False deliberately_paused = False
# --- External stop detection --- # --- External stop detection ---
@@ -417,6 +424,7 @@ def compose_status(
overlay_base=overlay_base, overlay_base=overlay_base,
sample_count=sample_count, sample_count=sample_count,
day_count=day_count, day_count=day_count,
pending_publication_count=pending_publication_count,
continuity=continuity, continuity=continuity,
paused_lines=paused_lines, paused_lines=paused_lines,
) )
@@ -459,6 +467,8 @@ def render_status_cli(comp: StatusComposition) -> str:
facts.append("timer: %s" % ( facts.append("timer: %s" % (
"unknown" if comp.timer_active is None else "active" if comp.timer_active else "inactive" "unknown" if comp.timer_active is None else "active" if comp.timer_active else "inactive"
)) ))
if comp.pending_publication_count:
facts.append(_pending_publication_text(comp.pending_publication_count))
if facts: if facts:
lines.append(" · ".join(facts)) lines.append(" · ".join(facts))
@@ -524,6 +534,8 @@ def render_status_tui(comp: StatusComposition) -> str:
facts.append("Timer: %s" % ( facts.append("Timer: %s" % (
"unknown" if comp.timer_active is None else "active" if comp.timer_active else "inactive" "unknown" if comp.timer_active is None else "active" if comp.timer_active else "inactive"
)) ))
if comp.pending_publication_count:
facts.append(_pending_publication_text(comp.pending_publication_count).capitalize())
if facts: if facts:
lines.append(" · ".join(facts)) lines.append(" · ".join(facts))
@@ -539,3 +551,8 @@ def render_status_tui(comp: StatusComposition) -> str:
lines.append(pl[:1].upper() + pl[1:]) lines.append(pl[:1].upper() + pl[1:])
return "\n".join(lines) return "\n".join(lines)
def _pending_publication_text(count: int) -> str:
noun = "observation" if count == 1 else "observations"
return f"pending publication: {count} {noun} retained for retry"
+192 -58
View File
@@ -3,8 +3,7 @@
This module handles: This module handles:
- Store initialization with WAL mode - Store initialization with WAL mode
- Schema versioning with PRAGMA user_version - Schema versioning with PRAGMA user_version
- The six entities: samples, hour_observations, day_aggregates, - Observation records, derived activity, publication state, and metadata
monitoring_periods, controller_segments, endurance_baseline
""" """
import sqlite3 import sqlite3
from pathlib import Path from pathlib import Path
@@ -12,7 +11,7 @@ from typing import Optional
# Schema version - increment on each migration # Schema version - increment on each migration
SCHEMA_VERSION = 3 SCHEMA_VERSION = 6
# Packaged default placement (spec §8.3). The config may override it, but a # Packaged default placement (spec §8.3). The config may override it, but a
@@ -33,7 +32,7 @@ def get_store_path(config: dict) -> Path:
def init_store(store_path: Path) -> sqlite3.Connection: def init_store(store_path: Path) -> sqlite3.Connection:
"""Initialize the observation store if not present. """Initialize the observation store if not present.
Creates the database with WAL mode and all six entities. Creates the observation schema, including private pending-publication storage.
Returns a connection to the store. Returns a connection to the store.
""" """
conn = sqlite3.connect(str(store_path)) conn = sqlite3.connect(str(store_path))
@@ -73,9 +72,11 @@ def init_store(store_path: Path) -> sqlite3.Connection:
) )
elif current_version < SCHEMA_VERSION: elif current_version < SCHEMA_VERSION:
# Older version - apply migrations # Older version - apply migrations
_apply_migrations(conn, current_version) try:
conn.execute(f"PRAGMA user_version={SCHEMA_VERSION}") _apply_migrations(conn, current_version)
conn.commit() except Exception:
conn.close()
raise
return conn return conn
@@ -107,7 +108,8 @@ def _create_schema(conn: sqlite3.Connection):
bytes_written INTEGER, bytes_written INTEGER,
bytes_read INTEGER, bytes_read INTEGER,
critical_warning INTEGER, critical_warning INTEGER,
segment_id INTEGER segment_id INTEGER,
local_tz TEXT
) )
""") """)
@@ -209,10 +211,18 @@ def _create_schema(conn: sqlite3.Connection):
coverage REAL DEFAULT 0.0, coverage REAL DEFAULT 0.0,
sample_count INTEGER DEFAULT 0, sample_count INTEGER DEFAULT 0,
complete BOOLEAN DEFAULT 0, complete BOOLEAN DEFAULT 0,
activity_seconds INTEGER NOT NULL DEFAULT 0,
activity_intervals INTEGER NOT NULL DEFAULT 0,
activity_incomplete BOOLEAN NOT NULL DEFAULT 0,
activity_precision TEXT NOT NULL DEFAULT 'measured',
last_sample_id INTEGER,
UNIQUE(local_date, tz_name) UNIQUE(local_date, tz_name)
) )
""") """)
_create_local_day_shared_evidence(conn)
_create_local_day_segment_totals(conn)
# Metadata table for store state (e.g., legacy import marker) # Metadata table for store state (e.g., legacy import marker)
conn.execute(""" conn.execute("""
CREATE TABLE IF NOT EXISTS store_metadata ( CREATE TABLE IF NOT EXISTS store_metadata (
@@ -221,59 +231,181 @@ def _create_schema(conn: sqlite3.Connection):
) )
""") """)
_create_pending_publications(conn)
def _create_pending_publications(conn: sqlite3.Connection) -> None:
"""Create private staging for valid observations awaiting derivation."""
conn.execute("""
CREATE TABLE IF NOT EXISTS pending_publications (
id INTEGER PRIMARY KEY AUTOINCREMENT,
sample_ts TEXT NOT NULL,
payload TEXT NOT NULL
)
""")
def _create_local_day_shared_evidence(conn: sqlite3.Connection) -> None:
"""Create once-only local activity evidence that cannot be day-allocated."""
conn.execute("""
CREATE TABLE IF NOT EXISTS local_day_unallocated_evidence (
id INTEGER PRIMARY KEY AUTOINCREMENT,
start_sample_id INTEGER NOT NULL,
end_sample_id INTEGER NOT NULL,
start_local_date TEXT NOT NULL,
end_local_date TEXT NOT NULL,
start_tz_name TEXT,
end_tz_name TEXT,
started_at TEXT NOT NULL,
ended_at TEXT NOT NULL,
bytes_written INTEGER NOT NULL DEFAULT 0,
bytes_read INTEGER NOT NULL DEFAULT 0,
reason TEXT NOT NULL,
segment_id INTEGER,
UNIQUE(start_sample_id, end_sample_id)
)
""")
conn.execute(
"CREATE INDEX IF NOT EXISTS local_day_evidence_start "
"ON local_day_unallocated_evidence(start_local_date, start_tz_name)"
)
conn.execute(
"CREATE INDEX IF NOT EXISTS local_day_evidence_end "
"ON local_day_unallocated_evidence(end_local_date, end_tz_name)"
)
def _create_local_day_segment_totals(conn: sqlite3.Connection) -> None:
"""Retain the controller-segment provenance behind known day totals."""
conn.execute("""
CREATE TABLE IF NOT EXISTS local_day_segment_totals (
id INTEGER PRIMARY KEY AUTOINCREMENT,
local_day_id INTEGER NOT NULL,
segment_id INTEGER NOT NULL,
bytes_written INTEGER NOT NULL DEFAULT 0,
bytes_read INTEGER NOT NULL DEFAULT 0,
activity_seconds INTEGER NOT NULL DEFAULT 0,
activity_intervals INTEGER NOT NULL DEFAULT 0,
UNIQUE(local_day_id, segment_id)
)
""")
def _apply_migrations(conn: sqlite3.Connection, current_version: int): def _apply_migrations(conn: sqlite3.Connection, current_version: int):
"""Apply forward-only migrations from current_version to SCHEMA_VERSION. """Apply forward-only migrations from current_version to SCHEMA_VERSION.
Each migration step is a transactional block. Add new steps as sequential
elif branches when SCHEMA_VERSION increases.
Spec: §3.6, §10.2
"""
# Migration 1→2: add segment_id provenance to samples,
# unattributed byte tracking to day_aggregates (issue #73)
if current_version < 2:
# Defensive: only ALTER if table exists (handles minimal v1 stores)
tables = {row[0] for row in conn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()}
if "samples" in tables:
# Check if column already exists (idempotent)
cols = {row[1] for row in conn.execute("PRAGMA table_info(samples)").fetchall()}
if "segment_id" not in cols:
conn.execute("ALTER TABLE samples ADD COLUMN segment_id INTEGER")
if "day_aggregates" in tables:
cols = {row[1] for row in conn.execute("PRAGMA table_info(day_aggregates)").fetchall()}
if "unattributed_bytes_written" not in cols:
conn.execute("ALTER TABLE day_aggregates ADD COLUMN unattributed_bytes_written INTEGER DEFAULT 0")
if "unattributed_bytes_read" not in cols:
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 Commit each version transition independently. A failed step rolls back in
# (issue #90, ADR 0010). Pure addition — no existing rows touched. full while earlier successful steps remain versioned and retryable.
if current_version < 3: """
tables = {row[0] for row in conn.execute( migrations = {
"SELECT name FROM sqlite_master WHERE type='table'" 2: _migrate_1_to_2,
3: _migrate_2_to_3,
4: _migrate_3_to_4,
5: _migrate_4_to_5,
6: _migrate_5_to_6,
}
while current_version < SCHEMA_VERSION:
target_version = current_version + 1
migration = migrations.get(target_version)
if migration is None:
raise ValueError(f"No migration registered for schema {target_version}")
conn.execute("BEGIN IMMEDIATE")
try:
migration(conn)
conn.execute(f"PRAGMA user_version={target_version}")
conn.commit()
except Exception:
conn.rollback()
raise
current_version = target_version
def _migrate_1_to_2(conn: sqlite3.Connection) -> None:
"""Add segment provenance and unattributed UTC byte tracking."""
tables = {row[0] for row in conn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()}
if "samples" in tables:
cols = {row[1] for row in conn.execute(
"PRAGMA table_info(samples)"
).fetchall()} ).fetchall()}
if "local_days" not in tables: if "segment_id" not in cols:
conn.execute(""" conn.execute("ALTER TABLE samples ADD COLUMN segment_id INTEGER")
CREATE TABLE IF NOT EXISTS local_days ( if "day_aggregates" in tables:
id INTEGER PRIMARY KEY AUTOINCREMENT, cols = {row[1] for row in conn.execute(
local_date TEXT NOT NULL, "PRAGMA table_info(day_aggregates)"
tz_name TEXT NOT NULL, ).fetchall()}
tz_offset TEXT NOT NULL, for column in ("unattributed_bytes_written", "unattributed_bytes_read"):
utc_start TEXT NOT NULL, if column not in cols:
utc_end TEXT NOT NULL, conn.execute(
bytes_written INTEGER DEFAULT 0, f"ALTER TABLE day_aggregates ADD COLUMN {column} 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_2_to_3(conn: sqlite3.Connection) -> None:
"""Add local-day activity summaries."""
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 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)
)
""")
def _migrate_3_to_4(conn: sqlite3.Connection) -> None:
"""Add private publication staging for acquired observations."""
_create_pending_publications(conn)
def _migrate_4_to_5(conn: sqlite3.Connection) -> None:
"""Add measured local-day evidence storage and mark old totals legacy."""
tables = {row[0] for row in conn.execute(
"SELECT name FROM sqlite_master WHERE type='table'"
).fetchall()}
if "samples" in tables:
sample_cols = {row[1] for row in conn.execute(
"PRAGMA table_info(samples)"
).fetchall()}
if "local_tz" not in sample_cols:
conn.execute("ALTER TABLE samples ADD COLUMN local_tz TEXT")
if "local_days" in tables:
local_cols = {row[1] for row in conn.execute(
"PRAGMA table_info(local_days)"
).fetchall()}
for column, declaration in (
("activity_seconds", "INTEGER NOT NULL DEFAULT 0"),
("activity_intervals", "INTEGER NOT NULL DEFAULT 0"),
("activity_incomplete", "BOOLEAN NOT NULL DEFAULT 0"),
("activity_precision", "TEXT NOT NULL DEFAULT 'legacy'"),
("last_sample_id", "INTEGER"),
):
if column not in local_cols:
conn.execute(
f"ALTER TABLE local_days ADD COLUMN {column} {declaration}"
)
_create_local_day_shared_evidence(conn)
_create_local_day_segment_totals(conn)
def _migrate_5_to_6(conn: sqlite3.Connection) -> None:
"""Rebuild local-day summaries from surviving trustworthy evidence."""
from .local_day import repair_legacy_local_day_evidence
repair_legacy_local_day_evidence(conn)
def migrate_to_latest(store_path: Path) -> int: def migrate_to_latest(store_path: Path) -> int:
@@ -310,9 +442,11 @@ def migrate_to_latest(store_path: Path) -> int:
return SCHEMA_VERSION return SCHEMA_VERSION
steps = SCHEMA_VERSION - current_version steps = SCHEMA_VERSION - current_version
_apply_migrations(conn, current_version) try:
conn.execute(f"PRAGMA user_version={SCHEMA_VERSION}") _apply_migrations(conn, current_version)
conn.commit() except Exception:
conn.close()
raise
conn.close() conn.close()
return steps return steps
+671 -164
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+8 -5
View File
@@ -25,11 +25,14 @@ def detect_system_tz() -> str:
localtime = Path("/etc/localtime") localtime = Path("/etc/localtime")
if localtime.is_symlink(): if localtime.is_symlink():
target = os.readlink(str(localtime)) target_path = Path(os.readlink(str(localtime)))
# Strip common prefixes: /usr/share/zoneinfo/, /usr/lib/zoneinfo/ if not target_path.is_absolute():
for prefix in ("/usr/share/zoneinfo/", "/usr/lib/zoneinfo/"): target_path = localtime.parent / target_path
if target.startswith(prefix): target = target_path.resolve().as_posix()
return target[len(prefix):] marker = "/zoneinfo/"
marker_index = target.find(marker)
if marker_index >= 0:
return target[marker_index + len(marker):]
return target return target
return "UTC" return "UTC"
+2 -2
View File
@@ -121,8 +121,8 @@ def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
conn.execute( conn.execute(
"INSERT INTO local_days " "INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, " "(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) " " bytes_written, bytes_read, coverage, sample_count, complete, activity_intervals) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 1)",
(local_date, tz_name, tz_offset, utc_start, utc_end, (local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete), bw, br, coverage, samples, complete),
) )
+94
View File
@@ -0,0 +1,94 @@
"""Activity-selection transitions independent from Textual widgets."""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.activity_selection import ActivitySelection, IntervalIdentity
def _interval(n):
return IntervalIdentity(f"start-{n}", f"end-{n}")
def test_live_selection_starts_and_stays_on_newest_interval():
selection = ActivitySelection()
first = [_interval(1), _interval(2)]
selection.update_live(first)
assert selection.following_live
assert selection.selected_live_interval == first[-1]
second = first + [_interval(3)]
selection.update_live(second)
assert selection.selected_live_interval == second[-1]
def test_keyboard_and_mouse_inspection_pin_interval_identity():
intervals = [_interval(1), _interval(2), _interval(3)]
keyboard = ActivitySelection()
mouse = ActivitySelection()
keyboard.update_live(intervals)
keyboard.move_live(intervals, -1)
mouse.update_live(intervals)
mouse.inspect_live(intervals, intervals[1])
assert keyboard.selected_live_interval == mouse.selected_live_interval == intervals[1]
assert not keyboard.following_live
assert not mouse.following_live
refreshed = [_interval(2), _interval(3), _interval(4)]
keyboard.update_live(refreshed)
mouse.update_live(refreshed)
assert keyboard.selected_live_interval == mouse.selected_live_interval == intervals[1]
def test_expired_pin_explains_expiration_and_resumes_following():
selection = ActivitySelection()
intervals = [_interval(1), _interval(2), _interval(3)]
selection.update_live(intervals)
selection.inspect_live(intervals, intervals[0])
newest = _interval(4)
selection.update_live([_interval(2), _interval(3), newest])
assert selection.following_live
assert selection.selected_live_interval == newest
assert selection.live_interval_expired
def test_today_resets_expired_pin_and_read_write_toggle_keeps_identity():
selection = ActivitySelection()
intervals = [_interval(1), _interval(2)]
selection.update_live(intervals)
selection.inspect_live(intervals, intervals[0])
selection.update_live([intervals[1]])
newest = _interval(3)
selection.update_live([intervals[1], newest])
assert selection.live_interval_expired
selection.toggle_measure()
assert selection.measure == "read"
assert selection.selected_live_interval == newest
selection.select_history_date("2026-09-27")
selection.set_view("history")
selection.set_view("live")
assert selection.browse_date is None
assert selection.following_live
assert not selection.live_interval_expired
def test_live_identity_uses_both_interval_boundaries():
first = IntervalIdentity("2026-09-28T10:00:00Z", "2026-09-28T10:03:00Z")
changed_start = IntervalIdentity("2026-09-28T09:57:00Z", "2026-09-28T10:03:00Z")
selection = ActivitySelection()
selection.update_live([first])
selection.inspect_live([first], first)
selection.update_live([changed_start])
assert selection.following_live
assert selection.selected_live_interval == changed_start
assert selection.live_interval_expired
+162 -1
View File
@@ -154,7 +154,7 @@ class TestSchemaMigration:
# Migrate # Migrate
steps = migrate_to_latest(db) steps = migrate_to_latest(db)
assert steps == 2 # v1→v2→v3 assert steps == 5 # v1→v2→v3→v4→v5→v6
# Verify data preserved # Verify data preserved
conn = sqlite3.connect(str(db)) conn = sqlite3.connect(str(db))
@@ -356,6 +356,167 @@ class TestCollectorDerivation:
assert count_after == 2 assert count_after == 2
class TestCollectionAtomicity:
"""Collection exposes sample and derived evidence as one publication."""
@pytest.mark.asyncio
async def test_collection_is_visible_through_cli_and_tui_readers(
self, config_fixture, smartctl_fixture, sysfs_fixture_tree, monkeypatch
):
"""Ordinary readers observe matching published sample and activity evidence."""
from fenris.status import get_status, read_status
from fenris.tui import FenrisTuiApp
monkeypatch.setenv("TZ", "UTC")
service = {
"boot_enabled": True,
"timer_active": True,
"last_collect_ok": True,
}
monkeypatch.setattr("fenris.status.query_service_state", lambda: service)
now = datetime.now(timezone.utc).replace(
minute=35, second=0, microsecond=0,
)
first = {
**smartctl_fixture,
"nvme_smart_health_information_log": {
**smartctl_fixture["nvme_smart_health_information_log"],
"data_units_written": 12345678,
"data_units_read": 9876543,
},
}
second = {
**smartctl_fixture,
"nvme_smart_health_information_log": {
**smartctl_fixture["nvme_smart_health_information_log"],
"data_units_written": 12345698,
"data_units_read": 9876553,
},
}
sysfs_path = sysfs_fixture_tree / "sys" / "class" / "nvme" / "nvme0"
assert run_collection(
first, sysfs_path, config_fixture, FakeClock(now - timedelta(minutes=5))
)["ok"] is True
assert run_collection(
second, sysfs_path, config_fixture, FakeClock(now)
)["ok"] is True
store_path = Path(config_fixture["store_path"])
with read_status(store_path, now, query_services=False) as (reader, composition):
assert reader is not None
assert composition.sample_count == 2
assert composition.day_count == 1
utc_day = reader.execute(
"SELECT bytes_written_delta, bytes_read_delta FROM day_aggregates"
).fetchone()
local_day = reader.execute(
"SELECT bytes_written, bytes_read FROM local_days"
).fetchone()
assert tuple(utc_day) == (10_240_000, 5_120_000)
assert tuple(local_day) == (10_240_000, 5_120_000)
cli_output = get_status(
store_path, now, query_services=True, query_journal=False
)
assert "Monitoring" in cli_output
app = FenrisTuiApp(store_path=store_path)
async with app.run_test(size=(100, 30)) as pilot:
await pilot.pause()
live_readout = str(app.query_one("#live-readout").render())
assert "W 0.010 GB" in live_readout
assert "R 0.005 GB" in live_readout
repeated_result = run_collection(
second, sysfs_path, config_fixture, FakeClock(now + timedelta(minutes=5))
)
assert repeated_result["ok"] is True
with read_status(
store_path, now + timedelta(minutes=5), query_services=False
) as (reader, composition):
assert reader is not None
assert composition.sample_count == 3
utc_day = reader.execute(
"SELECT bytes_written_delta, bytes_read_delta FROM day_aggregates"
).fetchone()
local_day = reader.execute(
"SELECT bytes_written, bytes_read FROM local_days"
).fetchone()
assert tuple(utc_day) == (10_240_000, 5_120_000)
assert tuple(local_day) == (10_240_000, 5_120_000)
def test_failed_local_day_publication_keeps_previous_publication(
self, config_fixture, smartctl_fixture, sysfs_fixture_tree, monkeypatch
):
"""A failed final derivation step leaves all prior reader state intact."""
from fenris.status import read_status
monkeypatch.setenv("TZ", "UTC")
now = datetime.now(timezone.utc).replace(second=0, microsecond=0)
first_clock = FakeClock(now)
first = {
**smartctl_fixture,
"nvme_smart_health_information_log": {
**smartctl_fixture["nvme_smart_health_information_log"],
"data_units_written": 12345678,
"data_units_read": 9876543,
},
}
first_result = run_collection(
first,
sysfs_fixture_tree / "sys" / "class" / "nvme" / "nvme0",
config_fixture,
first_clock,
)
assert first_result["ok"] is True, first_result
writer = sqlite3.connect(config_fixture["store_path"])
writer.execute(
"CREATE TRIGGER fail_local_day_publication "
"BEFORE INSERT ON local_days "
"BEGIN SELECT RAISE(ABORT, 'injected local-day publication failure'); END"
)
writer.commit()
writer.close()
next_time = now + timedelta(minutes=5)
second = {
**smartctl_fixture,
"nvme_smart_health_information_log": {
**smartctl_fixture["nvme_smart_health_information_log"],
"data_units_written": 12345698,
"data_units_read": 9876548,
},
}
failed_result = run_collection(
second,
sysfs_fixture_tree / "sys" / "class" / "nvme" / "nvme0",
config_fixture,
FakeClock(next_time),
)
assert failed_result["ok"] is False
assert "injected local-day publication failure" in failed_result["error"]
with read_status(
Path(config_fixture["store_path"]), next_time, query_services=False
) as (reader, composition):
assert reader is not None
assert composition.sample_count == 1
public_counts = reader.execute(
"SELECT (SELECT COUNT(*) FROM samples), "
"(SELECT COUNT(*) FROM controller_segments), "
"(SELECT COUNT(*) FROM monitoring_periods), "
"(SELECT COUNT(*) FROM hour_observations), "
"(SELECT COUNT(*) FROM day_aggregates), "
"(SELECT COUNT(*) FROM local_days)"
).fetchone()
assert tuple(public_counts) == (1, 1, 1, 0, 0, 0)
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Display states: awaiting first sample, awaiting another sample # Display states: awaiting first sample, awaiting another sample
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
+4 -1
View File
@@ -232,7 +232,7 @@ def test_store_initialization(config_fixture: Dict[str, Any]):
# Initialize store # Initialize store
conn = init_store(store_path) conn = init_store(store_path)
# Verify all six entities exist # Verify the observation, derived-history, and metadata tables exist.
cursor = conn.execute("SELECT name FROM sqlite_master WHERE type='table'") cursor = conn.execute("SELECT name FROM sqlite_master WHERE type='table'")
tables = {row[0] for row in cursor.fetchall()} tables = {row[0] for row in cursor.fetchall()}
@@ -249,6 +249,9 @@ def test_store_initialization(config_fixture: Dict[str, Any]):
expected_tables.add("sqlite_sequence") expected_tables.add("sqlite_sequence")
expected_tables.add("store_metadata") expected_tables.add("store_metadata")
expected_tables.add("local_days") expected_tables.add("local_days")
expected_tables.add("pending_publications")
expected_tables.add("local_day_unallocated_evidence")
expected_tables.add("local_day_segment_totals")
assert expected_tables == tables assert expected_tables == tables
conn.close() conn.close()
+76 -2
View File
@@ -98,8 +98,8 @@ def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
conn.execute( conn.execute(
"INSERT INTO local_days " "INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, " "(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) " " bytes_written, bytes_read, coverage, sample_count, complete, activity_intervals) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 1)",
(local_date, tz_name, tz_offset, utc_start, utc_end, (local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete), bw, br, coverage, samples, complete),
) )
@@ -166,6 +166,80 @@ class TestGateNoCompleteDay:
# The key assertion: gate message should NOT appear when gate IS met # 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) assert not any("full local observation day" in f for f in result.contributing_facts)
def test_complete_legacy_day_without_trusted_activity_does_not_open_gate(
self, store,
):
"""A complete flag cannot make unavailable local activity qualify."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
for i in range(3):
day = (datetime(2026, 9, 27) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, day, 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)
store.execute(
"UPDATE local_days SET activity_precision = 'measured', activity_intervals = 0 "
"WHERE local_date = '2026-09-29'"
)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("full local observation day" in fact
for fact in result.contributing_facts)
def test_day_split_by_deliberate_pause_does_not_open_gate(self, store):
"""A complete-looking summary cannot span separate monitoring periods."""
_insert_baseline(store)
_insert_segment(store)
for i in range(20):
day = (datetime(2026, 9, 10) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, day, bw=1024 * 1024 * 100)
_insert_sample(store, "2026-09-30T10:00:00+00:00", pu=5)
store.executemany(
"INSERT INTO monitoring_periods (started_at, ended_at, end_cause) "
"VALUES (?, ?, ?)",
[
("2026-09-29T00:00:00+00:00", "2026-09-29T12:00:00+00:00", "user_disabled"),
("2026-09-29T13:00:00+00:00", "2026-09-30T00:00:00+00:00", "user_disabled"),
("2026-09-30T00:00:00+00:00", None, None),
],
)
store.commit()
_insert_local_day(
store,
"2026-09-29",
utc_start="2026-09-29T00:00:00+00:00",
utc_end="2026-09-30T00:00:00+00:00",
complete=True,
)
result = compute_projection(store, _clock())
assert result.confidence_state == ConfidenceState.UNSUPPORTED
assert any("full local observation day" in fact
for fact in result.contributing_facts)
def test_partial_but_trusted_local_activity_opens_gate(self, store):
"""Known local intervals can coexist with an incomplete day total."""
_insert_baseline(store)
_insert_segment(store)
_open_period(store)
for i in range(3):
day = (datetime(2026, 9, 27) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(store, day, 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)
store.execute(
"UPDATE local_days SET activity_incomplete = 1 "
"WHERE local_date = '2026-09-29'"
)
result = compute_projection(store, _clock())
assert not any("full local observation day" in fact
for fact in result.contributing_facts)
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Gate-2: One complete local day → Limited confidence # Gate-2: One complete local day → Limited confidence
+1
View File
@@ -102,6 +102,7 @@ async def test_tabs_date_entry_and_hourly_inspection_keep_context(dashboard):
app.on_refresh_tick() app.on_refresh_tick()
await pilot.pause() await pilot.pause()
assert str(app.query_one("#bar-readout").render()) == readout assert str(app.query_one("#bar-readout").render()) == readout
assert "Reads" in str(app.query_one("#bar-legend").render())
await pilot.press("g") await pilot.press("g")
await pilot.press(*list("2026-09-17")) await pilot.press(*list("2026-09-17"))
await pilot.press("escape") await pilot.press("escape")
+18 -2
View File
@@ -634,6 +634,14 @@ class TestMonitorIntegration:
cmd_enable(args) cmd_enable(args)
mock_enable.assert_called_once_with(True) mock_enable.assert_called_once_with(True)
conn = sqlite3.connect(store_path)
try:
assert conn.execute(
"SELECT COUNT(*) FROM monitoring_periods WHERE ended_at IS NULL"
).fetchone()[0] == 1
finally:
conn.close()
def test_cmd_disable_uses_init_system(self, tmp_path): def test_cmd_disable_uses_init_system(self, tmp_path):
"""cmd_disable uses init_system.disable_timer.""" """cmd_disable uses init_system.disable_timer."""
from fenris.monitor import cmd_disable from fenris.monitor import cmd_disable
@@ -677,11 +685,19 @@ class TestEdgeCases:
def test_runit_collect_missing_script(self): def test_runit_collect_missing_script(self):
"""Runit collect exits when fenris-collect script not found.""" """Runit collect exits when fenris-collect script not found."""
with patch("fenris.init_system.Path") as mock_path: with patch("fenris.init_system.subprocess") as mock_sub, \
mock_path.return_value.exists.return_value = False patch("fenris.init_system.Path") as mock_path:
missing = MagicMock()
missing.exists.return_value = False
# Fallback path is built via Path(...).parent... / "src" / ...
missing.parent = missing
missing.__truediv__.return_value = missing
mock_path.return_value = missing
mock_sub.run.return_value = MagicMock(returncode=1)
with pytest.raises(SystemExit) as exc_info: with pytest.raises(SystemExit) as exc_info:
_runit_collect() _runit_collect()
assert exc_info.value.code == 1 assert exc_info.value.code == 1
mock_sub.run.assert_not_called()
def test_systemd_query_state_timeout(self): def test_systemd_query_state_timeout(self):
"""Systemd query state handles subprocess timeout.""" """Systemd query state handles subprocess timeout."""
+341
View File
@@ -0,0 +1,341 @@
"""Normal-collection retention acceptance tests for issue #100."""
import sqlite3
import sys
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.collector import run_collection
from fenris.local_day import query_local_day_summary
from fenris.pruning import prune_old_samples
from fenris.status import read_status
from fenris.store import init_store
@pytest.fixture
def sysfs_controller(tmp_path):
controller = tmp_path / "sys" / "class" / "nvme" / "nvme0"
controller.mkdir(parents=True)
(controller / "subsysnqn").write_text("nqn.example:drive-1\n")
(controller / "model").write_text("Fenris Test Drive\n")
(controller / "serial").write_text("drive-1\n")
(controller / "firmware_rev").write_text("1.0\n")
transport = controller / "transport"
transport.mkdir()
(transport / "address").write_text("0000:00:01.0\n")
(transport / "trstring").write_text("pcie\n")
return controller
class FakeClock:
def __init__(self, now):
self.now = now
def utcnow(self):
return self.now
def _smartctl(written, read):
return {
"nvme_smart_health_information_log": {
"critical_warning": 0,
"temperature": 35,
"available_spare": 100,
"percentage_used": 1,
"data_units_written": written,
"data_units_read": read,
"power_on_hours": 100,
"power_cycles": 1,
"unsafe_shutdowns": 0,
"media_errors": 0,
},
"user_capacity": {"bytes": 1_000_000_000_000},
"model_name": "Fenris Test Drive",
"serial_number": "drive-1",
"firmware_version": "1.0",
}
def _collect(config, controller, now, written, read):
return run_collection(
smartctl_data=_smartctl(written, read),
sysfs_path=controller,
config=config,
clock=FakeClock(now),
)
def test_normal_collection_expires_detail_and_keeps_local_day_evidence(
tmp_path, sysfs_controller, monkeypatch,
):
monkeypatch.setenv("TZ", "UTC")
store_path = tmp_path / "observations.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
first_time = datetime(2026, 9, 1, 0, 0, tzinfo=timezone.utc)
second_time = first_time + timedelta(days=15)
first = _collect(config, sysfs_controller, first_time, 1000, 2000)
assert first["ok"] is True, first
second = _collect(config, sysfs_controller, second_time, 1001, 2003)
assert second["ok"] is True, second
with sqlite3.connect(store_path) as conn:
assert conn.execute("SELECT ts FROM samples ORDER BY id").fetchall() == [
(second_time.isoformat(),)
]
assert conn.execute(
"SELECT bytes_written, bytes_read, reason "
"FROM local_day_unallocated_evidence"
).fetchall() == [(512_000, 1_536_000, "local_midnight")]
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
assert conn.execute("SELECT COUNT(*) FROM controller_segments").fetchone()[0] == 1
assert conn.execute("SELECT COUNT(*) FROM day_aggregates").fetchone()[0] == 15
monkeypatch.setenv("TZ", "Asia/Kolkata")
with read_status(store_path, second_time, query_services=False) as (reader, state):
assert reader is not None
assert state.store_fault is None
old_day = query_local_day_summary(
reader, "2026-09-01", "UTC", second_time,
)
assert old_day["utc_start"] == "2026-09-01T00:00:00+00:00"
assert old_day["utc_end"] == "2026-09-02T00:00:00+00:00"
assert old_day["bytes_written"] is None
assert old_day["shared_bytes_written"] == 512_000
assert old_day["shared_bytes_read"] == 1_536_000
assert old_day["shared_evidence_count"] == 1
def test_pruning_keeps_samples_when_replacement_evidence_is_missing(tmp_path):
store_path = tmp_path / "incomplete.db"
conn = init_store(store_path)
now = datetime(2026, 9, 30, tzinfo=timezone.utc)
old_time = now - timedelta(days=20)
next_time = now - timedelta(days=1)
conn.execute(
"INSERT INTO controller_segments (id, opened_at, identity_key) "
"VALUES (1, ?, 'test')",
(old_time.isoformat(),),
)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, segment_id, local_tz) "
"VALUES (?, '/dev/nvme0', 100, 100, 1, 'UTC')",
(old_time.isoformat(),),
)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, segment_id, local_tz) "
"VALUES (?, '/dev/nvme0', 200, 200, 1, 'UTC')",
(next_time.isoformat(),),
)
conn.commit()
assert prune_old_samples(conn, now) == 0
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 2
conn.close()
def test_later_same_day_activity_does_not_replace_gap_interval(tmp_path):
store_path = tmp_path / "unrelated-local-activity.db"
conn = init_store(store_path)
gap_start = datetime(2026, 9, 1, 0, 0, tzinfo=timezone.utc)
gap_end = gap_start + timedelta(minutes=10)
later_end = gap_start + timedelta(minutes=20)
now = datetime(2026, 9, 30, tzinfo=timezone.utc)
conn.execute(
"INSERT INTO controller_segments (id, opened_at, identity_key) "
"VALUES (1, ?, 'test')",
(gap_start.isoformat(),),
)
for sample_time, written, read in (
(gap_start, 1000, 100),
(gap_end, 2000, 200),
(later_end, 2100, 210),
):
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, segment_id, local_tz) "
"VALUES (?, '/dev/nvme0', ?, ?, 1, 'UTC')",
(sample_time.isoformat(), written, read),
)
# UTC aggregates can replace the old counter pair, but the local-day
# summary contains only the later B->C interval, after monitoring resumed.
conn.execute(
"INSERT INTO hour_observations (hour, bytes_written_delta, bytes_read_delta) "
"VALUES ('2026-09-01T00:00:00+00:00', 1000, 100)"
)
conn.execute(
"INSERT INTO day_aggregates (day) VALUES ('2026-09-01')"
)
conn.execute(
"INSERT INTO monitoring_periods (started_at, ended_at) VALUES (?, ?)",
(gap_end.isoformat(), later_end.isoformat()),
)
last_sample_id = conn.execute("SELECT MAX(id) FROM samples").fetchone()[0]
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, bytes_written, "
" bytes_read, activity_intervals, activity_precision, last_sample_id) "
"VALUES ('2026-09-01', 'UTC', '+00:00', ?, ?, 100, 10, 1, 'measured', ?)",
(
gap_start.isoformat(),
(gap_start + timedelta(days=1)).isoformat(),
last_sample_id,
),
)
local_day_id = conn.execute("SELECT MAX(id) FROM local_days").fetchone()[0]
conn.execute(
"INSERT INTO local_day_segment_totals "
"(local_day_id, segment_id, bytes_written, bytes_read, activity_intervals) "
"VALUES (?, 1, 100, 10, 1)",
(local_day_id,),
)
conn.commit()
assert prune_old_samples(conn, now) == 0
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 3
conn.close()
def test_pruning_keeps_oldest_unpaired_sample_as_successor_anchor(tmp_path):
store_path = tmp_path / "anchor.db"
conn = init_store(store_path)
now = datetime(2026, 9, 30, tzinfo=timezone.utc)
old_time = now - timedelta(days=20)
conn.execute(
"INSERT INTO controller_segments (id, opened_at, identity_key) "
"VALUES (1, ?, 'test')",
(old_time.isoformat(),),
)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, segment_id, local_tz) "
"VALUES (?, '/dev/nvme0', 100, 100, 1, 'UTC')",
(old_time.isoformat(),),
)
conn.commit()
assert prune_old_samples(conn, now) == 0
assert conn.execute("SELECT ts FROM samples").fetchone()[0] == old_time.isoformat()
conn.close()
def test_pruning_never_expires_pending_publications(tmp_path):
store_path = tmp_path / "pending.db"
conn = init_store(store_path)
old_time = datetime(2026, 9, 1, tzinfo=timezone.utc)
conn.execute(
"INSERT INTO pending_publications (sample_ts, payload) VALUES (?, '{}')",
(old_time.isoformat(),),
)
conn.commit()
assert prune_old_samples(
conn, datetime(2026, 9, 30, tzinfo=timezone.utc),
) == 0
assert conn.execute(
"SELECT sample_ts FROM pending_publications"
).fetchone()[0] == old_time.isoformat()
conn.close()
def test_pruning_preserves_unparseable_legacy_timestamp(tmp_path):
store_path = tmp_path / "legacy.db"
conn = init_store(store_path)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read) "
"VALUES ('legacy timestamp', '/dev/nvme0', 100, 100)"
)
conn.commit()
assert prune_old_samples(conn, datetime(2026, 9, 30, tzinfo=timezone.utc)) == 0
assert conn.execute("SELECT ts FROM samples").fetchone()[0] == "legacy timestamp"
conn.close()
def test_collection_defers_interrupted_pruning_and_retries_next_run(
tmp_path, sysfs_controller, monkeypatch,
):
monkeypatch.setenv("TZ", "UTC")
store_path = tmp_path / "interrupted.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
first_time = datetime(2026, 9, 1, 0, 0, tzinfo=timezone.utc)
second_time = first_time + timedelta(days=15)
assert _collect(config, sysfs_controller, first_time, 1000, 2000)["ok"] is True
writer = sqlite3.connect(store_path)
writer.execute(
"CREATE TRIGGER stop_retention BEFORE DELETE ON samples "
"BEGIN SELECT RAISE(ABORT, 'simulated retention interruption'); END"
)
writer.commit()
writer.close()
second = _collect(config, sysfs_controller, second_time, 1001, 2001)
assert second["ok"] is True, second
assert "simulated retention interruption" in second["retention_error"]
with sqlite3.connect(store_path) as conn:
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 2
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
assert conn.execute("SELECT COUNT(*) FROM local_day_unallocated_evidence").fetchone()[0] == 1
writer = sqlite3.connect(store_path)
writer.execute("DROP TRIGGER stop_retention")
writer.commit()
writer.close()
third_time = second_time + timedelta(days=15)
third = _collect(config, sysfs_controller, third_time, 1002, 2002)
assert third["ok"] is True, third
assert third["retention_error"] is None
with sqlite3.connect(store_path) as conn:
assert conn.execute("SELECT ts FROM samples ORDER BY id").fetchall() == [
(third_time.isoformat(),)
]
def test_collection_recovers_old_pending_work_before_pruning(
tmp_path, sysfs_controller, monkeypatch,
):
monkeypatch.setenv("TZ", "UTC")
store_path = tmp_path / "pending-recovery.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
first_time = datetime(2026, 9, 1, 0, 0, tzinfo=timezone.utc)
second_time = first_time + timedelta(days=15)
assert _collect(config, sysfs_controller, first_time, 1000, 2000)["ok"] is True
writer = sqlite3.connect(store_path)
writer.execute(
"CREATE TRIGGER interrupt_publication "
"BEFORE INSERT ON local_day_unallocated_evidence "
"BEGIN SELECT RAISE(ABORT, 'simulated publication interruption'); END"
)
writer.commit()
writer.close()
failed = _collect(config, sysfs_controller, second_time, 1001, 2001)
assert failed["ok"] is False
assert "simulated publication interruption" in failed["error"]
with sqlite3.connect(store_path) as conn:
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 1
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 1
writer = sqlite3.connect(store_path)
writer.execute("DROP TRIGGER interrupt_publication")
writer.commit()
writer.close()
third_time = second_time + timedelta(minutes=5)
recovered = _collect(config, sysfs_controller, third_time, 1002, 2002)
assert recovered["ok"] is True, recovered
assert recovered["retention_error"] is None
with sqlite3.connect(store_path) as conn:
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
assert conn.execute("SELECT ts FROM samples ORDER BY id").fetchall() == [
(second_time.isoformat(),),
(third_time.isoformat(),),
]
assert conn.execute(
"SELECT COUNT(*) FROM local_day_unallocated_evidence"
).fetchone()[0] == 1
+257
View File
@@ -0,0 +1,257 @@
"""Bound pending-publication admission before device acquisition."""
import json
import sqlite3
import sys
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris import collector
class FakeClock:
def __init__(self, now):
self.now = now
def utcnow(self):
return self.now
@pytest.fixture
def sysfs_controller(tmp_path):
controller_path = tmp_path / "sys" / "class" / "nvme" / "nvme0"
controller_path.mkdir(parents=True)
(controller_path / "subsysnqn").write_text("nqn.test:drive\n")
(controller_path / "model").write_text("Test NVMe\n")
(controller_path / "serial").write_text("test-serial\n")
(controller_path / "firmware_rev").write_text("1.0\n")
transport = controller_path / "transport"
transport.mkdir()
(transport / "trstring").write_text("pcie\n")
return controller_path
def _smartctl(units_written):
return {
"nvme_smart_health_information_log": {
"critical_warning": 0,
"temperature": 35,
"available_spare": 100,
"percentage_used": 5,
"data_units_written": units_written,
"data_units_read": 500,
"power_on_hours": 100,
},
"user_capacity": {"bytes": 1_024_000_000_000},
"model_name": "Test NVMe",
"serial_number": "test-serial",
"firmware_version": "1.0",
}
def _collect(config, controller, now, units_written):
return collector.run_collection(
config=config,
clock=FakeClock(now),
acquire=lambda: (_smartctl(units_written), controller),
)
def test_partial_recovery_frees_admission_and_keeps_pending_order(
tmp_path, sysfs_controller, monkeypatch,
):
"""A freed slot admits one observation behind older pending evidence."""
assert collector.PENDING_PUBLICATION_LIMIT == 6_720
monkeypatch.setenv("TZ", "UTC")
monkeypatch.setattr(collector, "PENDING_PUBLICATION_LIMIT", 2)
store_path = tmp_path / "observations.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
old_time = datetime(2026, 8, 1, tzinfo=timezone.utc)
controller = sysfs_controller
assert _collect(config, controller, old_time, 1000)["ok"] is True
original_derive = collector.derive_hours_from_interval
def unavailable_derivation(*_args):
raise RuntimeError("derivation unavailable")
monkeypatch.setattr(collector, "derive_hours_from_interval", unavailable_derivation)
first_pending = _collect(
config, controller, old_time + timedelta(minutes=5), 1010,
)
assert first_pending["ok"] is False
second_pending = _collect(
config, controller, old_time + timedelta(minutes=10), 1020,
)
assert second_pending["ok"] is False
with sqlite3.connect(store_path) as conn:
assert conn.execute(
"SELECT COUNT(*) FROM pending_publications"
).fetchone()[0] == 2
called = False
def must_not_acquire():
nonlocal called
called = True
return _smartctl(1030), controller
full = collector.run_collection(
config=config,
clock=FakeClock(old_time + timedelta(days=40)),
acquire=must_not_acquire,
)
assert full["ok"] is False
assert "capacity full (2 observations)" in full["error"]
assert called is False
with sqlite3.connect(store_path) as conn:
assert conn.execute(
"SELECT COUNT(*), MIN(sample_ts) FROM pending_publications"
).fetchone() == (
2,
(old_time + timedelta(minutes=5)).isoformat(),
)
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 1
def fail_second_pending(conn, previous, current):
if current["data_units_written"] == 1020:
raise RuntimeError("second observation still blocked")
return original_derive(conn, previous, current)
monkeypatch.setattr(collector, "derive_hours_from_interval", fail_second_pending)
acquired = False
def acquire_after_partial_recovery():
nonlocal acquired
acquired = True
return _smartctl(1030), controller
partial = collector.run_collection(
config=config,
clock=FakeClock(old_time + timedelta(days=40, minutes=5)),
acquire=acquire_after_partial_recovery,
)
assert partial["ok"] is False
assert acquired is True, partial
assert "no new observation acquired" not in partial["error"]
with sqlite3.connect(store_path) as conn:
assert conn.execute(
"SELECT data_units_written FROM samples ORDER BY id"
).fetchall() == [(1000,), (1010,)]
queued_units = [
json.loads(row[0])["sample"]["data_units_written"]
for row in conn.execute(
"SELECT payload FROM pending_publications ORDER BY id"
)
]
assert queued_units == [1020, 1030]
assert conn.execute("SELECT COUNT(*) FROM monitoring_periods").fetchone()[0] == 1
recovered_in_order = []
def record_recovery_order(conn, previous, current):
recovered_in_order.append(current["data_units_written"])
return original_derive(conn, previous, current)
monkeypatch.setattr(collector, "derive_hours_from_interval", record_recovery_order)
recovered = collector.run_collection(
config=config,
clock=FakeClock(old_time + timedelta(days=40, minutes=10)),
acquire=lambda: (_smartctl(1040), controller),
)
assert recovered["ok"] is True, recovered
assert recovered_in_order == [1020, 1030, 1040]
with sqlite3.connect(store_path) as conn:
assert conn.execute(
"SELECT data_units_written FROM samples ORDER BY id DESC LIMIT 1"
).fetchone() == (1040,)
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
def test_actual_pending_limit_fails_before_acquisition_and_keeps_old_evidence(
tmp_path, sysfs_controller, monkeypatch,
):
"""The production limit retains every old row and refuses device acquisition."""
monkeypatch.setenv("TZ", "UTC")
store_path = tmp_path / "full-observations.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
controller = sysfs_controller
old_time = datetime(2026, 7, 1, tzinfo=timezone.utc)
assert _collect(config, controller, old_time, 1000)["ok"] is True
def unavailable_derivation(*_args):
raise RuntimeError("derivation unavailable")
monkeypatch.setattr(collector, "derive_hours_from_interval", unavailable_derivation)
failed = _collect(
config, controller, old_time + timedelta(minutes=5), 1010,
)
assert failed["ok"] is False
with sqlite3.connect(store_path) as conn:
payload_row = conn.execute(
"SELECT payload FROM pending_publications ORDER BY id LIMIT 1"
).fetchone()
assert payload_row is not None
base = json.loads(payload_row[0])
base_observed_at = datetime.fromisoformat(base["sample"]["ts"])
base_units = base["sample"]["data_units_written"]
rows = []
for offset in range(1, collector.PENDING_PUBLICATION_LIMIT):
observation = json.loads(payload_row[0])
units_written = base_units + offset
observed_at = base_observed_at + timedelta(minutes=5 * offset)
observation["sample"]["ts"] = observed_at.isoformat()
observation["sample"]["data_units_written"] = units_written
observation["sample"]["bytes_written"] = units_written * 512_000
rows.append((observed_at.isoformat(), json.dumps(observation)))
conn.executemany(
"INSERT INTO pending_publications (sample_ts, payload) VALUES (?, ?)",
rows,
)
conn.commit()
called = False
def must_not_acquire():
nonlocal called
called = True
return _smartctl(9000), controller
result = collector.run_collection(
config=config,
clock=FakeClock(old_time + timedelta(days=40)),
acquire=must_not_acquire,
)
assert result["ok"] is False
assert f"capacity full ({collector.PENDING_PUBLICATION_LIMIT} observations)" in result[
"error"
]
assert called is False
with sqlite3.connect(store_path) as conn:
pending_rows = conn.execute(
"SELECT sample_ts, payload FROM pending_publications ORDER BY id"
).fetchall()
assert len(pending_rows) == collector.PENDING_PUBLICATION_LIMIT
assert (pending_rows[0][0], pending_rows[-1][0]) == (
(old_time + timedelta(minutes=5)).isoformat(),
(
old_time
+ timedelta(minutes=5 * collector.PENDING_PUBLICATION_LIMIT)
).isoformat(),
)
assert [
json.loads(payload)["sample"]["data_units_written"]
for _, payload in pending_rows
] == list(range(1010, 1010 + collector.PENDING_PUBLICATION_LIMIT))
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 1
assert conn.execute("SELECT COUNT(*) FROM monitoring_periods").fetchone()[0] == 1
+6 -2
View File
@@ -90,8 +90,8 @@ def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
conn.execute( conn.execute(
"INSERT INTO local_days " "INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, " "(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) " " bytes_written, bytes_read, coverage, sample_count, complete, activity_intervals) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 1)",
(local_date, tz_name, tz_offset, utc_start, utc_end, (local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete), bw, br, coverage, samples, complete),
) )
@@ -211,6 +211,8 @@ class TestStalenessFact:
_insert_baseline(conn) _insert_baseline(conn)
base = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc) base = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc)
ensure_period_open(conn, base)
conn.commit()
for i in range(14): for i in range(14):
day = (base + timedelta(days=i)).strftime("%Y-%m-%d") day = (base + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=10*1024*1024*1024) _insert_day(conn, day, bw=10*1024*1024*1024)
@@ -234,6 +236,8 @@ class TestStalenessFact:
_insert_baseline(conn) _insert_baseline(conn)
base = datetime(2026, 9, 18, 12, 0, 0, tzinfo=timezone.utc) base = datetime(2026, 9, 18, 12, 0, 0, tzinfo=timezone.utc)
ensure_period_open(conn, base)
conn.commit()
for i in range(14): for i in range(14):
day = (base + timedelta(days=i)).strftime("%Y-%m-%d") day = (base + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, day, bw=10*1024*1024*1024) _insert_day(conn, day, bw=10*1024*1024*1024)
+2 -2
View File
@@ -98,8 +98,8 @@ def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
conn.execute( conn.execute(
"INSERT INTO local_days " "INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, " "(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) " " bytes_written, bytes_read, coverage, sample_count, complete, activity_intervals) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 1)",
(local_date, tz_name, tz_offset, utc_start, utc_end, (local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete), bw, br, coverage, samples, complete),
) )
+306 -65
View File
@@ -24,13 +24,12 @@ from fenris.store import init_store
from fenris.monitoring_periods import ensure_period_open from fenris.monitoring_periods import ensure_period_open
from fenris.local_day import ( from fenris.local_day import (
LocalDaySummary, LocalDaySummary,
local_day_boundaries,
persist_local_day, persist_local_day,
query_local_day_summary,
) )
from fenris.tz_util import detect_system_tz
from fenris.tui import ( from fenris.tui import (
FenrisTuiApp, FenrisTuiApp,
HistoryGraph,
_RANGE_OPTIONS,
_RANGE_DEFAULT, _RANGE_DEFAULT,
) )
@@ -70,13 +69,18 @@ def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00", def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
bw=300, br=130, complete=True): bw=300, br=130, complete=True,
utc_start=None, utc_end=None):
if utc_start is None:
utc_start = f"{local_date}T00:00:00+00:00"
if utc_end is None:
utc_end = f"{(datetime.fromisoformat(local_date) + timedelta(days=1)).strftime('%Y-%m-%d')}T00:00:00+00:00"
summary = LocalDaySummary( summary = LocalDaySummary(
local_date=local_date, local_date=local_date,
tz_name=tz_name, tz_name=tz_name,
tz_offset=tz_offset, tz_offset=tz_offset,
utc_start=f"{local_date}T00:00:00+00:00", utc_start=utc_start,
utc_end=f"{(datetime.fromisoformat(local_date) + timedelta(days=1)).strftime('%Y-%m-%d')}T00:00:00+00:00", utc_end=utc_end,
bytes_written=bw, bytes_written=bw,
bytes_read=br, bytes_read=br,
coverage=0.95, coverage=0.95,
@@ -124,6 +128,10 @@ def _make_app(tmp_path, clock=None):
return app, patcher return app, patcher
def _visible_selected_date(app):
return str(app.query_one("#local-day").render())[:10]
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# AC92-1: Keyboard bindings exist # AC92-1: Keyboard bindings exist
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -178,14 +186,13 @@ class TestBracketNavigation:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
# Move to an older day first so ] can advance # Move to an older day first so ] can advance
for _ in range(3): for _ in range(3):
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
day_before = graph._day_data[graph.selected_index].get("day") day_before = _visible_selected_date(app)
await pilot.press("right_square_bracket") await pilot.press("right_square_bracket")
day_after = graph._day_data[graph.selected_index].get("day") day_after = _visible_selected_date(app)
# ] should move to a newer day (closer to today) # ] should move to a newer day (closer to today)
assert day_after > day_before assert day_after > day_before
@@ -198,11 +205,10 @@ class TestBracketNavigation:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history") day_before = _visible_selected_date(app)
day_before = graph._day_data[graph.selected_index].get("day")
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
day_after = graph._day_data[graph.selected_index].get("day") day_after = _visible_selected_date(app)
# [ should move to an older day (further from today) # [ should move to an older day (further from today)
assert day_after < day_before assert day_after < day_before
@@ -224,9 +230,8 @@ class TestBracketNavigation:
for _ in range(29): for _ in range(29):
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
# Graph should now show a range that includes the oldest day # Visible readout identifies oldest selected date.
assert graph.selected_index >= 0 selected_day = _visible_selected_date(app)
selected_day = graph._day_data[graph.selected_index].get("day")
oldest_day = (app_clock - timedelta(days=29)).strftime("%Y-%m-%d") oldest_day = (app_clock - timedelta(days=29)).strftime("%Y-%m-%d")
assert selected_day == oldest_day assert selected_day == oldest_day
finally: finally:
@@ -241,11 +246,10 @@ class TestBracketNavigation:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history") initial_date = _visible_selected_date(app)
initial_idx = graph.selected_index
await pilot.press("right_square_bracket") await pilot.press("right_square_bracket")
assert graph.selected_index == initial_idx assert _visible_selected_date(app) == initial_date
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -262,36 +266,54 @@ class TestArrowInspection:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.press("v", "v") await pilot.press("v", "v")
graph.focus() app.query_one("#usage-history").focus()
await pilot.pause() await pilot.pause()
day_before = graph._day_data[graph.selected_index].get("day") day_before = _visible_selected_date(app)
await pilot.press("left") await pilot.press("left")
day_after = graph._day_data[graph.selected_index].get("day") day_after = _visible_selected_date(app)
assert day_after != day_before assert day_after != day_before
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_arrow_keys_inspect_hours_in_drill(self, tmp_path): async def test_arrow_keys_inspect_hours_in_drill(self, tmp_path):
"""Arrow keys navigate hours when in hourly drill-down.""" """Arrow keys navigate hours when in hourly drill-down."""
conn, clock = _setup_store(tmp_path, n_days=14) conn, clock = _setup_store(tmp_path, n_days=14)
local_date = datetime.now().astimezone().date().isoformat()
timezone_name = detect_system_tz()
utc_start, utc_end, tz_offset = local_day_boundaries(local_date, timezone_name)
_insert_local_day(
conn, local_date, tz_name=timezone_name, tz_offset=tz_offset,
utc_start=utc_start.isoformat(), utc_end=utc_end.isoformat(),
)
hour = utc_start.replace(minute=0, second=0, microsecond=0)
if hour < utc_start:
hour += timedelta(hours=1)
while hour + timedelta(hours=1) <= utc_end:
conn.execute(
"INSERT INTO hour_observations "
"(hour, bytes_written_delta, bytes_read_delta, coverage, sample_count) "
"VALUES (?, 1000000, 2000000, 1, 1)",
(hour.isoformat(),),
)
hour += timedelta(hours=1)
conn.commit()
conn.close() conn.close()
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.press("v", "v") await pilot.press("v", "v")
await pilot.click("#usage-history") await pilot.click("#usage-history")
# Enter drill-down # Enter drill-down
await pilot.press("enter") await pilot.press("enter")
assert graph.view_mode == "hourly" assert app.query_one("#activity-tabs").active == "view-day"
# Arrow keys navigate hours # Arrow keys navigate hours
readout_before = str(app.query_one("#bar-readout").render())
await pilot.press("left") await pilot.press("left")
assert graph._hourly_selected >= 0 assert str(app.query_one("#bar-readout").render()) != readout_before
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -308,18 +330,17 @@ class TestTodayBinding:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
# Browse to an older day using [ # Browse to an older day using [
for _ in range(5): for _ in range(5):
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
browsed_day = graph._day_data[graph.selected_index].get("day") browsed_day = _visible_selected_date(app)
today = clock.strftime("%Y-%m-%d") today = datetime.now().astimezone().date().isoformat()
assert browsed_day != today assert browsed_day != today
# Press t to return to today # Press t to return to today
await pilot.press("t") await pilot.press("t")
assert graph.selected_index == len(graph._day_data) - 1 assert app.query_one("#activity-tabs").active == "view-live"
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_t_exits_hourly_drill(self, tmp_path): async def test_t_exits_hourly_drill(self, tmp_path):
@@ -330,17 +351,16 @@ class TestTodayBinding:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.press("v", "v") await pilot.press("v", "v")
await pilot.click("#usage-history") await pilot.click("#usage-history")
# Enter drill # Enter drill
await pilot.press("enter") await pilot.press("enter")
assert graph.view_mode == "hourly" assert app.query_one("#activity-tabs").active == "view-day"
# t returns to daily # t returns to daily
await pilot.press("t") await pilot.press("t")
assert graph.view_mode == "daily" assert app.query_one("#activity-tabs").active == "view-live"
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -360,7 +380,7 @@ class TestDateEntry:
await pilot.press("g") await pilot.press("g")
await pilot.pause() await pilot.pause()
# Date picker should be pushed as a screen # Date picker should be pushed as a screen
assert len(app.screen_stack) > 1 assert app.screen.query_one("#date-input") is not None
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_valid_date_navigates(self, tmp_path): async def test_valid_date_navigates(self, tmp_path):
@@ -375,13 +395,12 @@ class TestDateEntry:
await pilot.pause() await pilot.pause()
target_date = (app_clock - timedelta(days=5)).strftime("%Y-%m-%d") target_date = (app_clock - timedelta(days=5)).strftime("%Y-%m-%d")
# Simulate the date picker callback directly await pilot.press("g")
app._go_to_date_callback(target_date) await pilot.press(*target_date)
await pilot.press("enter")
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history") assert _visible_selected_date(app) == target_date
selected_day = graph._day_data[graph.selected_index].get("day")
assert selected_day == target_date
finally: finally:
patcher.stop() patcher.stop()
@@ -400,7 +419,8 @@ class TestDateEntry:
await pilot.press("enter") await pilot.press("enter")
await pilot.pause() await pilot.pause()
# Should remain on date picker (error shown, not dismissed) # Should remain on date picker (error shown, not dismissed)
assert len(app.screen_stack) > 1 error = str(app.screen.query_one("#date-error").render())
assert "Invalid date format" in error
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_cancel_returns_to_prior(self, tmp_path): async def test_cancel_returns_to_prior(self, tmp_path):
@@ -411,8 +431,7 @@ class TestDateEntry:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history") prior_readout = str(app.query_one("#bar-readout").render())
prior_idx = graph.selected_index
await pilot.press("g") await pilot.press("g")
await pilot.pause() await pilot.pause()
@@ -420,7 +439,7 @@ class TestDateEntry:
await pilot.pause() await pilot.pause()
# Should be back to the graph with the same selection # Should be back to the graph with the same selection
assert graph.selected_index == prior_idx assert str(app.query_one("#bar-readout").render()) == prior_readout
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -442,8 +461,6 @@ class TestLocalDayEvidence:
try: try:
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
# Navigate to the target day # Navigate to the target day
for _ in range(4): for _ in range(4):
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
@@ -489,12 +506,10 @@ class TestBrowsingStability:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=0.1) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=0.1)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
# Browse to a specific day # Browse to a specific day
for _ in range(3): for _ in range(3):
await pilot.press("right_square_bracket") await pilot.press("left_square_bracket")
browsed_day = graph._day_data[graph.selected_index].get("day") browsed_day = _visible_selected_date(app)
# Wait for at least one refresh tick # Wait for at least one refresh tick
import asyncio import asyncio
@@ -502,8 +517,7 @@ class TestBrowsingStability:
await pilot.pause() await pilot.pause()
# Selection should be preserved # Selection should be preserved
assert graph.selected_index >= 0 assert _visible_selected_date(app) == browsed_day
assert graph._day_data[graph.selected_index].get("day") == browsed_day
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_navigate_away_does_not_jump_on_refresh(self, tmp_path): async def test_navigate_away_does_not_jump_on_refresh(self, tmp_path):
@@ -514,14 +528,12 @@ class TestBrowsingStability:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=0.1) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=0.1)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
# Browse to older day using [ # Browse to older day using [
for _ in range(5): for _ in range(5):
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
browsed_day = graph._day_data[graph.selected_index].get("day") browsed_day = _visible_selected_date(app)
today = clock.strftime("%Y-%m-%d") today = datetime.now().astimezone().date().isoformat()
assert browsed_day != today assert browsed_day != today
# Wait for refresh # Wait for refresh
@@ -530,8 +542,8 @@ class TestBrowsingStability:
await pilot.pause() await pilot.pause()
# Should NOT jump back to today # Should NOT jump back to today
selected_day = graph._day_data[graph.selected_index].get("day") assert _visible_selected_date(app) == browsed_day
assert selected_day != today assert _visible_selected_date(app) != today
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -548,17 +560,16 @@ class TestDrillDownData:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(100, 40)) as pilot: async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history")
await pilot.press("v", "v") await pilot.press("v", "v")
await pilot.click("#usage-history") await pilot.click("#usage-history")
# Enter drill-down # Enter drill-down
await pilot.press("enter") await pilot.press("enter")
assert graph.view_mode == "hourly" assert app.query_one("#activity-tabs").active == "view-day"
# After drill callback, data should be populated assert "hourly evidence unavailable" in str(
# (empty since we have no hour_observations) app.query_one("#bar-readout").render()
assert graph.view_mode == "hourly" )
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -575,11 +586,10 @@ class TestConstrainedWidth:
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999) app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
async with app.run_test(size=(80, 24)) as pilot: async with app.run_test(size=(80, 24)) as pilot:
await pilot.pause() await pilot.pause()
graph = app.query_one("#usage-history") day_before = _visible_selected_date(app)
day_before = graph._day_data[graph.selected_index].get("day")
await pilot.press("left_square_bracket") await pilot.press("left_square_bracket")
day_after = graph._day_data[graph.selected_index].get("day") day_after = _visible_selected_date(app)
assert day_after < day_before assert day_after < day_before
@pytest.mark.asyncio @pytest.mark.asyncio
@@ -593,4 +603,235 @@ class TestConstrainedWidth:
await pilot.pause() await pilot.pause()
await pilot.press("g") await pilot.press("g")
await pilot.pause() await pilot.pause()
assert len(app.screen_stack) > 1 assert app.screen.query_one("#date-input") is not None
class TestClickableNavigation:
@pytest.mark.asyncio
@pytest.mark.parametrize("size", [(80, 24), (70, 20)])
async def test_click_and_keyboard_select_same_local_date(self, tmp_path, size):
"""Clickable and keyboard navigation share date-entry transitions."""
app_clock = _clock()
conn, _ = _setup_store(tmp_path, n_days=14, today=app_clock)
conn.close()
app, patcher = _make_app(tmp_path, clock=app_clock)
expected = (app_clock - timedelta(days=1)).strftime("%Y-%m-%d")
direct = (app_clock - timedelta(days=5)).strftime("%Y-%m-%d")
try:
async with app.run_test(size=size) as pilot:
await pilot.press("left_square_bracket")
keyboard_date = _visible_selected_date(app)
assert keyboard_date == expected
await pilot.press("t")
await pilot.click("#activity-tools", offset=(2, 0))
assert _visible_selected_date(app) == keyboard_date
await pilot.press("g")
await pilot.press(*direct)
await pilot.press("enter")
await pilot.pause()
assert _visible_selected_date(app) == direct
finally:
patcher.stop()
class TestHistoricalSelectionIdentity:
@pytest.mark.asyncio
async def test_unavailable_entered_date_stays_visible_after_refresh(self, tmp_path):
"""An unavailable requested date remains selected and explained."""
conn, clock = _setup_store(tmp_path, n_days=30)
conn.close()
app, patcher = _make_app(tmp_path, clock=clock)
target = (clock - timedelta(days=120)).strftime("%Y-%m-%d")
try:
async with app.run_test(size=(100, 40)) as pilot:
await pilot.press("g")
await pilot.press(*target)
await pilot.press("enter")
await pilot.pause()
local_day = str(app.query_one("#local-day").render())
assert target in local_day
assert "unavailable" in local_day
app.on_refresh_tick()
await pilot.pause()
local_day = str(app.query_one("#local-day").render())
assert target in local_day
assert "unavailable" in local_day
finally:
patcher.stop()
@pytest.mark.asyncio
async def test_retained_summary_outside_recent_window_remains_available(self, tmp_path):
"""Direct date entry can inspect durable local summaries beyond 90 days."""
clock = _clock()
conn, _ = _setup_store(tmp_path, n_days=30, today=clock)
target = (clock - timedelta(days=120)).strftime("%Y-%m-%d")
utc_start, utc_end, tz_offset = local_day_boundaries(
target, "Asia/Kolkata",
)
_insert_local_day(
conn,
target,
tz_name="Asia/Kolkata",
tz_offset=tz_offset,
bw=2_000_000_000,
br=1_000_000_000,
utc_start=utc_start.isoformat(),
utc_end=utc_end.isoformat(),
)
conn.close()
app, patcher = _make_app(tmp_path, clock=clock)
try:
async with app.run_test(size=(100, 40)) as pilot:
await pilot.press("g")
await pilot.press(*target)
await pilot.press("enter")
await pilot.pause()
await pilot.press("v")
await pilot.pause()
readout = str(app.query_one("#bar-readout").render())
assert target in readout
assert "Asia/Kolkata +05:30" in readout
assert "W 2.000 GB known · R 1.000 GB known" in readout
finally:
patcher.stop()
@pytest.mark.asyncio
async def test_constrained_history_keeps_known_totals_and_evidence_state(self, tmp_path):
"""Small textual view retains selected day, totals, and shared evidence."""
clock = _clock()
conn, _ = _setup_store(tmp_path, n_days=14, today=clock)
target = (clock - timedelta(days=2)).strftime("%Y-%m-%d")
utc_start, utc_end, tz_offset = local_day_boundaries(
target, "Asia/Kolkata",
)
_insert_local_day(
conn,
target,
tz_name="Asia/Kolkata",
tz_offset=tz_offset,
bw=1_500_000_000,
br=500_000_000,
utc_start=utc_start.isoformat(),
utc_end=utc_end.isoformat(),
)
conn.execute(
"INSERT INTO local_day_unallocated_evidence "
"(start_sample_id, end_sample_id, start_local_date, end_local_date, "
" start_tz_name, end_tz_name, started_at, ended_at, bytes_written, "
" bytes_read, reason) VALUES (1, 2, ?, ?, ?, ?, ?, ?, ?, ?, 'local_midnight')",
(target, "2026-09-29", "Asia/Kolkata", "Asia/Kolkata",
utc_start.isoformat(), utc_start.isoformat(), 200_000_000, 300_000_000),
)
conn.commit()
conn.close()
app, patcher = _make_app(tmp_path, clock=clock)
try:
async with app.run_test(size=(70, 20)) as pilot:
await pilot.press("g")
await pilot.press(*target)
await pilot.press("enter")
await pilot.press("v")
await pilot.pause()
readout = str(app.query_one("#bar-readout").render())
assert target in readout
assert "Asia/Kolkata +05:30" in readout
assert "incomplete" in readout
assert "W 1.500 GB known · R 0.500 GB known" in readout
assert "shared at midnight W 0.200 GB · R 0.300 GB" in readout
finally:
patcher.stop()
@pytest.mark.asyncio
async def test_date_picker_keystrokes_do_not_toggle_measurement(self, tmp_path):
"""Typing in date entry does not trigger dashboard shortcuts."""
conn, _ = _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.press("w")
await pilot.press("escape")
await pilot.pause()
header = str(app.query_one("#live-header").render())
assert "Writes" in header
@pytest.mark.asyncio
async def test_historical_hour_uses_recorded_timezone_and_utc_identity(self, tmp_path):
"""Repeated local clock labels retain distinct UTC-hour identities."""
clock = _clock(2026, 11, 2, 12)
conn, _ = _setup_store(tmp_path, n_days=30, today=clock)
target = "2026-11-01"
_insert_local_day(
conn,
target,
tz_name="America/New_York",
tz_offset="-04:00",
utc_start="2026-11-01T04:00:00+00:00",
utc_end="2026-11-02T05:00:00+00:00",
)
conn.execute(
"INSERT INTO local_day_unallocated_evidence "
"(start_sample_id, end_sample_id, start_local_date, end_local_date, "
" start_tz_name, end_tz_name, started_at, ended_at, bytes_written, "
" bytes_read, reason) VALUES (1, 2, ?, ?, ?, ?, ?, ?, ?, ?, 'local_midnight')",
(target, "2026-11-02", "America/New_York", "America/New_York",
"2026-11-02T03:59:00+00:00", "2026-11-02T04:01:00+00:00",
2_000_000_000, 3_000_000_000),
)
for index in range(25):
hour = datetime(2026, 11, 1, 4, tzinfo=timezone.utc) + timedelta(hours=index)
conn.execute(
"INSERT INTO hour_observations "
"(hour, bytes_written_delta, bytes_read_delta, coverage, sample_count) "
"VALUES (?, ?, ?, 1, 1)",
(hour.isoformat(), (index + 1) * 1_000_000_000,
(index + 1) * 2_000_000_000),
)
conn.execute(
"UPDATE hour_observations SET coverage = 0.5, unknown_seconds = 1800 "
"WHERE hour = ?",
("2026-11-01T04:00:00+00:00",),
)
conn.commit()
conn.close()
app, patcher = _make_app(tmp_path, clock=clock)
try:
async with app.run_test(size=(100, 40)) as pilot:
await pilot.click("#view-history")
await pilot.press("g")
await pilot.press(*target)
await pilot.press("enter")
await pilot.pause()
local_day = str(app.query_one("#local-day").render())
assert "America/New_York -04:00" in local_day
assert "incomplete" in local_day
assert "shared at midnight W 2.000 GB · R 3.000 GB" in local_day
# Move from final local hour to the second 01:00 occurrence.
await pilot.press(*(["left"] * 22))
second_occurrence = str(app.query_one("#bar-readout").render())
assert "01:00 -0500" in second_occurrence
assert "America/New_York -0500" in second_occurrence
assert "06:00 UTC" in second_occurrence
await pilot.press("left")
first_occurrence = str(app.query_one("#bar-readout").render())
assert "01:00 -0400" in first_occurrence
assert "America/New_York -0400" in first_occurrence
assert "05:00 UTC" in first_occurrence
await pilot.press("left")
incomplete_hour = str(app.query_one("#bar-readout").render())
assert "00:00 -0400" in incomplete_hour
assert "50% coverage · incomplete" in incomplete_hour
finally:
patcher.stop()
+13 -16
View File
@@ -151,8 +151,8 @@ class TestDetailExpiresSummariesRemain:
# Run pruning # Run pruning
pruned = prune_old_samples(conn, now, retention_days=14) pruned = prune_old_samples(conn, now, retention_days=14)
# Old samples should be pruned, recent ones retained # The handcrafted totals lack replacement provenance, so retain samples.
assert pruned >= 1 assert pruned == 0
# Local-day summaries must still be queryable # Local-day summaries must still be queryable
old_result = query_local_day_summary(conn, "2026-09-16") old_result = query_local_day_summary(conn, "2026-09-16")
@@ -277,7 +277,7 @@ class TestTimezonePreservation:
now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 10, 1, 12, 0, 0, tzinfo=timezone.utc)
old = LocalDaySummary( old = LocalDaySummary(
local_date="2026-09-16", tz_name="US/Eastern", tz_offset="-04:00", local_date="2026-09-16", tz_name="America/New_York", tz_offset="-04:00",
utc_start="2026-09-16T04:00:00+00:00", utc_start="2026-09-16T04:00:00+00:00",
utc_end="2026-09-17T04:00:00+00:00", utc_end="2026-09-17T04:00:00+00:00",
bytes_written=5000, bytes_read=2000, bytes_written=5000, bytes_read=2000,
@@ -288,7 +288,7 @@ class TestTimezonePreservation:
entries = query_local_day_history(conn, "2026-09-16", "2026-09-16", now) entries = query_local_day_history(conn, "2026-09-16", "2026-09-16", now)
assert len(entries) == 1 assert len(entries) == 1
entry = entries[0] entry = entries[0]
assert entry.tz_name == "US/Eastern" assert entry.tz_name == "America/New_York"
assert entry.tz_offset == "-04:00" assert entry.tz_offset == "-04:00"
assert entry.utc_start == "2026-09-16T04:00:00+00:00" assert entry.utc_start == "2026-09-16T04:00:00+00:00"
assert entry.detail_available is False assert entry.detail_available is False
@@ -389,10 +389,10 @@ class TestIdempotencySafety:
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
class TestVolumeConservation: class TestVolumeConservation:
"""AC6: Summary volume plus unallocated evidence conserves each delta once.""" """AC6: UTC-hour totals never become fabricated local-day totals."""
def test_midnight_spanning_not_double_counted(self, tmp_path): def test_hourly_bytes_are_unavailable_at_local_precision(self, tmp_path):
"""Midnight-spanning interval appears once, not in both days.""" """UTC-day hour bytes cannot be split across local-day boundaries."""
conn = init_store(tmp_path / "obs.db") conn = init_store(tmp_path / "obs.db")
# Insert hour observations that span midnight # Insert hour observations that span midnight
@@ -409,13 +409,10 @@ class TestVolumeConservation:
summary_17 = derive_local_day_summary(conn, "UTC", clock_17) summary_17 = derive_local_day_summary(conn, "UTC", clock_17)
assert summary_17 is not None assert summary_17 is not None
# Each day should only have its own hour's bytes assert summary_16.bytes_written == 0
# Day 16 has the 23:00 hour (100 bw) assert summary_17.bytes_written == 0
# Day 17 has the 00:00 hour (200 bw) assert summary_16.activity_precision == "unavailable"
assert summary_16.bytes_written == 100 assert summary_17.activity_precision == "unavailable"
assert summary_17.bytes_written == 200
# Total is conserved: 100 + 200 = 300
assert summary_16.bytes_written + summary_17.bytes_written == 300
conn.close() conn.close()
@@ -437,10 +434,10 @@ class TestExistingEntryPoints:
_insert_sample(conn, ts, bw=days_ago * 100) _insert_sample(conn, ts, bw=days_ago * 100)
pruned = prune_old_samples(conn, now, retention_days=14) pruned = prune_old_samples(conn, now, retention_days=14)
assert pruned == 15 assert pruned == 0
cursor = conn.execute("SELECT COUNT(*) FROM samples") cursor = conn.execute("SELECT COUNT(*) FROM samples")
assert cursor.fetchone()[0] == 14 assert cursor.fetchone()[0] == 29
conn.close() conn.close()
def test_repair_with_real_temp_store(self, tmp_path): def test_repair_with_real_temp_store(self, tmp_path):
+294
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@@ -0,0 +1,294 @@
"""Pending publication behavior from issue #97."""
import sqlite3
import sys
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris import collector
from fenris.projection import compute_projection
from fenris.status import _query_drive_facts, get_status, read_status
from fenris.status_composition import render_status_tui
from fenris.store import init_store
class FakeClock:
def __init__(self, now):
self.now = now
def utcnow(self):
return self.now
@pytest.fixture
def sysfs_fixture_tree(tmp_path):
ctrl_dir = tmp_path / "sys" / "class" / "nvme" / "nvme0"
ctrl_dir.mkdir(parents=True)
(ctrl_dir / "subsysnqn").write_text("nqn.test:drive\n")
(ctrl_dir / "model").write_text("Test NVMe\n")
(ctrl_dir / "serial").write_text("test-serial\n")
(ctrl_dir / "firmware_rev").write_text("1.0\n")
transport_dir = ctrl_dir / "transport"
transport_dir.mkdir()
(transport_dir / "trstring").write_text("pcie\n")
return tmp_path
def _smartctl(unit_written, unit_read=500):
return {
"nvme_smart_health_information_log": {
"critical_warning": 0,
"temperature": 35,
"available_spare": 100,
"percentage_used": 5,
"data_units_written": unit_written,
"data_units_read": unit_read,
"power_on_hours": 100,
},
"user_capacity": {"bytes": 1_024_000_000_000},
"model_name": "Test NVMe",
"serial_number": "test-serial",
"firmware_version": "1.0",
}
def _acquirer(sysfs_path, unit_written, unit_read=500):
return lambda: (_smartctl(unit_written, unit_read), sysfs_path)
def _public_snapshot(store_path, clock_now):
with read_status(store_path, clock_now) as (conn, comp):
assert conn is not None
return {
"state": comp.state,
"freshness": comp.freshness,
"sample_count": comp.sample_count,
"day_count": comp.day_count,
"boot_enabled": comp.boot_enabled,
"timer_active": comp.timer_active,
"last_collect_ok": comp.last_collect_ok,
"latest_sample": tuple(conn.execute(
"SELECT ts, subnqn, mn, sn, fr, capacity_bytes, temperature_c, "
"available_spare, data_units_written, bytes_written, critical_warning, "
"media_errors, unsafe_shutdowns "
"FROM samples ORDER BY id DESC LIMIT 1"
).fetchone()),
"drive_facts": tuple(_query_drive_facts(conn)),
"projection": repr(compute_projection(conn, clock_now)),
"segments": conn.execute("SELECT COUNT(*) FROM controller_segments").fetchone()[0],
"periods": conn.execute("SELECT COUNT(*) FROM monitoring_periods").fetchone()[0],
"hours": tuple(conn.execute(
"SELECT hour, bytes_written_delta, bytes_read_delta, sample_count "
"FROM hour_observations ORDER BY hour"
).fetchall()),
"days": tuple(conn.execute(
"SELECT day, bytes_written_delta, bytes_read_delta "
"FROM day_aggregates ORDER BY day"
).fetchall()),
"local_days": tuple(conn.execute(
"SELECT local_date, bytes_written, bytes_read, sample_count "
"FROM local_days ORDER BY local_date, tz_name"
).fetchall()),
"pending": comp.pending_publication_count,
}
def test_failed_publication_survives_restart_and_readers_keep_last_consistent_view(
tmp_path, sysfs_fixture_tree, monkeypatch
):
"""A failed derivation stays private, visible as pending, and replays in order."""
monkeypatch.setenv("TZ", "UTC")
service = {"boot_enabled": True, "timer_active": True, "last_collect_ok": True}
monkeypatch.setattr("fenris.status.query_service_state", lambda: service)
now = datetime.now(timezone.utc).replace(
minute=35, second=0, microsecond=0,
)
store_path = tmp_path / "observations.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
sysfs_path = sysfs_fixture_tree / "sys" / "class" / "nvme" / "nvme0"
for units, at in ((1000, now - timedelta(minutes=10)), (1010, now - timedelta(minutes=5))):
result = collector.run_collection(
config=config,
clock=FakeClock(at),
acquire=_acquirer(sysfs_path, units),
)
assert result["ok"] is True, result
previous = _public_snapshot(store_path, now)
baseline_cli = get_status(store_path, now, query_services=False, query_journal=False)
original_derive = collector.derive_hours_from_interval
reader_during_write = {}
def fail_derivation(conn, previous_sample, next_sample):
# Read while writer has inserted the unpublished sample but not committed.
with read_status(store_path, now, query_services=False) as (reader, comp):
assert reader is not None
reader_during_write["samples"] = reader.execute(
"SELECT COUNT(*) FROM samples"
).fetchone()[0]
reader_during_write["pending"] = comp.pending_publication_count
reader_during_write["latest"] = tuple(reader.execute(
"SELECT data_units_written FROM samples ORDER BY id DESC LIMIT 1"
).fetchone())
raise RuntimeError("injected non-invariant derivation failure")
monkeypatch.setattr(collector, "derive_hours_from_interval", fail_derivation)
failed = collector.run_collection(
config=config,
clock=FakeClock(now),
acquire=_acquirer(sysfs_path, 1025),
)
assert failed["ok"] is False
assert "injected non-invariant derivation failure" in failed["error"]
assert reader_during_write == {"samples": 2, "pending": 1, "latest": (1010,)}
after_failure = _public_snapshot(store_path, now)
assert {**after_failure, "pending": previous["pending"]} == previous
assert after_failure["pending"] == 1
cli_text = get_status(store_path, now, query_services=False, query_journal=False)
pending_fact = " · pending publication: 1 observation retained for retry"
assert pending_fact in cli_text
assert cli_text.replace(pending_fact, "", 1) == baseline_cli
with read_status(store_path, now) as (_, comp):
assert comp.state == previous["state"]
assert comp.boot_enabled is True
assert comp.timer_active is True
assert "pending publication: 1 observation retained for retry" in render_status_tui(comp).lower()
called = False
def should_wait_for_recovery():
nonlocal called
called = True
return _smartctl(1030), sysfs_path
monkeypatch.setattr(collector, "PENDING_PUBLICATION_LIMIT", 1)
blocked = collector.run_collection(
config=config,
clock=FakeClock(now + timedelta(minutes=5)),
acquire=should_wait_for_recovery,
)
assert blocked["ok"] is False
assert called is False
assert _public_snapshot(store_path, now)["pending"] == 1
monkeypatch.setattr(collector, "derive_hours_from_interval", original_derive)
monkeypatch.setenv("TZ", "Asia/Kolkata")
recovered = collector.run_collection(
config=config,
clock=FakeClock(now + timedelta(minutes=5)),
acquire=_acquirer(sysfs_path, 1040),
)
assert recovered["ok"] is True, recovered
conn = sqlite3.connect(store_path)
try:
assert conn.execute(
"SELECT data_units_written FROM samples ORDER BY id"
).fetchall() == [(1000,), (1010,), (1025,), (1040,)]
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
assert conn.execute(
"SELECT SUM(bytes_written_delta) FROM day_aggregates"
).fetchone()[0] == (1040 - 1000) * 512_000
assert conn.execute(
"SELECT sample_count FROM local_days WHERE tz_name = 'UTC'"
).fetchone()[0] == 4
assert conn.execute(
"SELECT COUNT(*) FROM local_days WHERE tz_name = 'Asia/Kolkata'"
).fetchone()[0] == 1
finally:
conn.close()
def test_invalid_sample_writes_no_sample_segment_period_or_pending_row(tmp_path, sysfs_fixture_tree):
"""Sample invariants run before staging or public monitoring changes."""
now = datetime.now(timezone.utc).replace(second=0, microsecond=0)
store_path = tmp_path / "observations.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
sysfs_path = sysfs_fixture_tree / "sys" / "class" / "nvme" / "nvme0"
result = collector.run_collection(
config=config,
clock=FakeClock(now),
acquire=_acquirer(sysfs_path, -1),
)
assert result["ok"] is False
assert result["error_type"] == "InvariantViolationError"
conn = sqlite3.connect(store_path)
try:
assert conn.execute("SELECT COUNT(*) FROM samples").fetchone()[0] == 0
assert conn.execute("SELECT COUNT(*) FROM controller_segments").fetchone()[0] == 0
assert conn.execute("SELECT COUNT(*) FROM monitoring_periods").fetchone()[0] == 0
assert conn.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
finally:
conn.close()
def test_pending_capacity_retries_before_skipping_acquisition(tmp_path, sysfs_fixture_tree, monkeypatch):
now = datetime.now(timezone.utc).replace(second=0, microsecond=0)
store_path = tmp_path / "observations.db"
config = {"device": "/dev/nvme0", "store_path": str(store_path)}
sysfs_path = sysfs_fixture_tree / "sys" / "class" / "nvme" / "nvme0"
first = collector.run_collection(
config=config,
clock=FakeClock(now - timedelta(minutes=5)),
acquire=_acquirer(sysfs_path, 1000),
)
assert first["ok"] is True, first
monkeypatch.setattr(collector, "PENDING_PUBLICATION_LIMIT", 1)
def fail_derivation(*_):
raise RuntimeError("derivation still unavailable")
monkeypatch.setattr(collector, "derive_hours_from_interval", fail_derivation)
failed = collector.run_collection(
config=config,
clock=FakeClock(now),
acquire=_acquirer(sysfs_path, 1010),
)
assert failed["ok"] is False
assert "capacity full (1 observations)" in failed["error"]
called = False
def must_not_acquire():
nonlocal called
called = True
return _smartctl(1020), sysfs_path
retry = collector.run_collection(
config=config,
clock=FakeClock(now + timedelta(minutes=5)),
acquire=must_not_acquire,
)
assert retry["ok"] is False
assert "capacity full (1 observations)" in retry["error"]
assert called is False
def test_v3_readers_ignore_pending_table_until_store_migrates(tmp_path):
store_path = tmp_path / "observations.db"
conn = init_store(store_path)
conn.execute("DROP TABLE pending_publications")
conn.execute("PRAGMA user_version=3")
conn.commit()
conn.close()
with read_status(store_path, datetime.now(timezone.utc), query_services=False) as (reader, comp):
assert reader is not None
assert comp.store_fault is None
assert comp.pending_publication_count == 0
migrated = init_store(store_path)
try:
assert migrated.execute("PRAGMA user_version").fetchone()[0] == 6
assert migrated.execute("SELECT COUNT(*) FROM pending_publications").fetchone()[0] == 0
finally:
migrated.close()
+520
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@@ -0,0 +1,520 @@
"""Historical local-day migration and repair acceptance tests for issue #99."""
import sqlite3
import sys
from datetime import datetime, timezone
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.local_day import (
query_local_day_summary,
record_local_activity_interval,
)
from fenris.status import read_status
from fenris.store import init_store
SOURCE_SCHEMA_VERSION = 5
LOCAL_DATE = "2026-09-02"
TIMEZONE = "Asia/Kolkata"
UTC_START = "2026-09-01T18:30:00+00:00"
UTC_END = "2026-09-02T18:30:00+00:00"
def _legacy_store(path: Path) -> sqlite3.Connection:
"""Build a v5 store with one old coarse local-day summary."""
conn = init_store(path)
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, bytes_written, "
" bytes_read, coverage, sample_count, complete, activity_incomplete, "
" activity_precision) "
"VALUES (?, ?, '+05:30', ?, ?, 999999, 888888, 1.0, 24, 1, 0, 'legacy')",
(LOCAL_DATE, TIMEZONE, UTC_START, UTC_END),
)
conn.execute(
"INSERT INTO monitoring_periods (started_at, ended_at) VALUES (?, ?)",
(UTC_START, "2026-09-03T00:00:00+00:00"),
)
conn.execute(
"INSERT INTO controller_segments "
"(opened_at, identity_key, identity_degraded) VALUES (?, ?, 0)",
(UTC_START, "controller-a"),
)
conn.execute(
"INSERT INTO hour_observations "
"(hour, bytes_written_delta, bytes_read_delta, sample_count, coverage) "
"VALUES ('2026-09-02T00:00:00+00:00', 123, 45, 2, 1.0)"
)
conn.execute(
"INSERT INTO day_aggregates "
"(day, bytes_written_delta, bytes_read_delta, coverage) "
"VALUES ('2026-09-02', 678, 90, 1.0)"
)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, power_on_hours, "
" segment_id, local_tz) VALUES (?, '/dev/nvme0', 1000, 2000, 100, 1, ?)",
("2026-09-01T19:00:00+00:00", TIMEZONE),
)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, power_on_hours, "
" segment_id, local_tz) VALUES (?, '/dev/nvme0', 11000, 5000, 115, 1, ?)",
("2026-09-02T10:00:00+00:00", TIMEZONE),
)
conn.execute(f"PRAGMA user_version={SOURCE_SCHEMA_VERSION}")
conn.commit()
return conn
def test_upgrade_rebuilds_legacy_day_from_samples_and_keeps_recorded_bounds(
tmp_path, monkeypatch,
):
db = tmp_path / "legacy.db"
conn = _legacy_store(db)
conn.close()
monkeypatch.setenv("TZ", "UTC")
conn = init_store(db)
conn.close()
with read_status(
db, datetime(2026, 9, 4, tzinfo=timezone.utc), query_services=False,
) as (reader, composition):
assert reader is not None
assert composition.store_fault is None
summary = query_local_day_summary(
reader, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary is not None
assert summary["local_date"] == LOCAL_DATE
assert summary["tz_name"] == TIMEZONE
assert summary["tz_offset"] == "+05:30"
assert summary["utc_start"] == UTC_START
assert summary["utc_end"] == UTC_END
assert summary["bytes_written"] == 10_000
assert summary["bytes_read"] == 3_000
assert summary["activity_precision"] == "measured"
assert summary["segments"] == [{
"segment_id": 1,
"bytes_written": 10_000,
"bytes_read": 3_000,
"activity_seconds": 54_000,
"activity_intervals": 1,
}]
assert summary["activity_state"] == "incomplete"
assert reader.execute(
"SELECT bytes_written_delta FROM hour_observations"
).fetchone()[0] == 123
assert reader.execute(
"SELECT bytes_written_delta FROM day_aggregates"
).fetchone()[0] == 678
conn = init_store(db)
conn.close()
with read_status(
db, datetime(2026, 9, 4, tzinfo=timezone.utc), query_services=False,
) as (reader, _composition):
assert reader is not None
summary = query_local_day_summary(
reader, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 10_000
assert summary["bytes_read"] == 3_000
def test_repair_rebuilds_legacy_local_day_once_across_restarts(tmp_path):
from fenris.repair import repair_derivation
db = tmp_path / "repair.db"
conn = _legacy_store(db)
first = repair_derivation(conn)
assert first.ok
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 10_000
assert summary["bytes_read"] == 3_000
conn.close()
conn = sqlite3.connect(db)
second = repair_derivation(conn)
assert second.ok
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 10_000
assert summary["bytes_read"] == 3_000
assert conn.execute(
"SELECT bytes_written, bytes_read, activity_intervals "
"FROM local_day_segment_totals"
).fetchall() == [(10_000, 3_000, 1)]
conn.close()
def test_interrupted_repair_keeps_local_day_rebuild_retryable(tmp_path):
from fenris.repair import repair_derivation
db = tmp_path / "repair-interrupted.db"
conn = _legacy_store(db)
conn.execute(
"CREATE TRIGGER interrupt_repair_local_rebuild "
"BEFORE INSERT ON local_day_segment_totals "
"BEGIN SELECT RAISE(ABORT, 'simulated repair interruption'); END"
)
conn.commit()
failed = repair_derivation(conn)
assert not failed.ok
assert query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)["bytes_written"] is None
assert conn.execute(
"SELECT activity_precision, bytes_written FROM local_days"
).fetchone() == ("legacy", 999_999)
conn.execute("DROP TRIGGER interrupt_repair_local_rebuild")
conn.commit()
conn.close()
conn = sqlite3.connect(db)
retried = repair_derivation(conn)
assert retried.ok
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 10_000
assert summary["bytes_read"] == 3_000
conn.close()
def test_stale_repair_marker_does_not_block_crash_retry(tmp_path):
from fenris.repair import repair_derivation
conn = _legacy_store(tmp_path / "stale-repair.db")
conn.execute(
"INSERT OR REPLACE INTO store_metadata (key, value) "
"VALUES ('repair_in_progress', 'true')"
)
conn.commit()
result = repair_derivation(conn)
assert result.ok
assert conn.execute(
"SELECT value FROM store_metadata WHERE key = 'repair_in_progress'"
).fetchone() == ("false",)
assert query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)["bytes_written"] == 10_000
conn.close()
def test_upgrade_uses_whole_utc_hours_but_skips_midnight_straddling_hours(
tmp_path,
):
db = tmp_path / "coarse.db"
conn = _legacy_store(db)
conn.execute("DELETE FROM samples")
conn.execute(
"INSERT INTO hour_observations "
"(hour, bytes_written_delta, bytes_read_delta, sample_count, "
" active_seconds, coverage) "
"VALUES ('2026-09-01T18:00:00+00:00', 99999, 9999, 2, 3600, 1.0)"
)
conn.execute(
"INSERT INTO hour_observations "
"(hour, bytes_written_delta, bytes_read_delta, sample_count, "
" active_seconds, coverage) "
"VALUES ('2026-09-02T18:00:00+00:00', 88888, 8888, 2, 3600, 1.0)"
)
conn.commit()
conn.close()
conn = init_store(db)
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 123
assert summary["bytes_read"] == 45
assert summary["activity_precision"] == "coarse"
assert summary["activity_state"] == "incomplete"
assert summary["utc_start"] == UTC_START
assert summary["utc_end"] == UTC_END
conn.execute(
"INSERT INTO samples "
"(id, ts, device, bytes_written, bytes_read, segment_id, local_tz) "
"VALUES (10, '2026-09-02T12:00:00+00:00', '/dev/nvme0', 1000, 2000, 1, ?), "
" (11, '2026-09-02T12:05:00+00:00', '/dev/nvme0', 2000, 2500, 1, ?)",
(TIMEZONE, TIMEZONE),
)
conn.commit()
assert record_local_activity_interval(
conn,
{
"id": 10, "ts": "2026-09-02T12:00:00+00:00",
"bytes_written": 1_000, "bytes_read": 2_000,
"local_tz": TIMEZONE,
},
{
"id": 11, "ts": "2026-09-02T12:05:00+00:00",
"bytes_written": 2_000, "bytes_read": 2_500,
"local_tz": TIMEZONE,
},
start_sample_id=10, end_sample_id=11, segment_id=1,
) == "known"
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 1_000
assert summary["bytes_read"] == 500
assert summary["activity_precision"] == "measured"
assert summary["segments"] == [{
"segment_id": 1,
"bytes_written": 1_000,
"bytes_read": 500,
"activity_seconds": 300,
"activity_intervals": 1,
}]
conn.close()
def test_upgrade_does_not_double_count_coarse_hours_in_overlapping_days(tmp_path):
db = tmp_path / "overlapping-coarse-days.db"
conn = _legacy_store(db)
conn.execute("DELETE FROM samples")
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, bytes_written, "
" bytes_read, coverage, sample_count, complete, activity_precision) "
"VALUES ('2026-09-02', 'UTC', '+00:00', "
"'2026-09-02T00:00:00+00:00', '2026-09-03T00:00:00+00:00', "
"999999, 888888, 1.0, 24, 1, 'legacy')"
)
conn.commit()
conn.close()
conn = init_store(db)
for tz_name in (TIMEZONE, "UTC"):
summary = query_local_day_summary(
conn, LOCAL_DATE, tz_name,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] is None
assert summary["bytes_read"] is None
assert summary["activity_precision"] == "unavailable"
assert summary["activity_state"] == "unavailable"
assert conn.execute(
"SELECT bytes_written_delta, bytes_read_delta FROM hour_observations "
"WHERE hour = '2026-09-02T00:00:00+00:00'"
).fetchone() == (123, 45)
conn.close()
def test_upgrade_retains_local_midnight_interval_once_as_shared_evidence(tmp_path):
db = tmp_path / "shared.db"
conn = _legacy_store(db)
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, bytes_written, "
" bytes_read, coverage, sample_count, complete, activity_precision) "
"VALUES ('2026-09-01', ?, '+05:30', "
"'2026-08-31T18:30:00+00:00', '2026-09-01T18:30:00+00:00', "
"500, 600, 1.0, 24, 1, 'legacy')",
(TIMEZONE,),
)
conn.execute(
"UPDATE monitoring_periods SET started_at = '2026-08-31T18:00:00+00:00'"
)
conn.execute(
"UPDATE controller_segments SET opened_at = '2026-08-31T18:00:00+00:00'"
)
conn.execute(
"UPDATE samples SET ts = '2026-09-01T18:25:00+00:00', "
"bytes_written = 1000, bytes_read = 2000 WHERE id = 1"
)
conn.execute(
"UPDATE samples SET ts = '2026-09-01T18:35:00+00:00', "
"bytes_written = 1100, bytes_read = 2050 WHERE id = 2"
)
conn.commit()
conn.close()
conn = init_store(db)
shared = conn.execute(
"SELECT COUNT(*), SUM(bytes_written), SUM(bytes_read) "
"FROM local_day_unallocated_evidence"
).fetchone()
assert shared == (1, 100, 50)
for local_date in ("2026-09-01", "2026-09-02"):
summary = query_local_day_summary(
conn, local_date, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] is None
assert summary["shared_bytes_written"] == 100
assert summary["shared_bytes_read"] == 50
assert summary["activity_state"] == "incomplete"
from fenris.repair import repair_derivation
assert repair_derivation(conn).ok
assert conn.execute(
"SELECT COUNT(*), SUM(bytes_written), SUM(bytes_read) "
"FROM local_day_unallocated_evidence"
).fetchone() == (1, 100, 50)
conn.close()
def test_interrupted_upgrade_keeps_legacy_day_retryable(tmp_path):
db = tmp_path / "interrupted.db"
conn = _legacy_store(db)
conn.execute(
"CREATE TRIGGER interrupt_local_rebuild "
"BEFORE INSERT ON local_day_segment_totals "
"BEGIN SELECT RAISE(ABORT, 'simulated interruption'); END"
)
conn.commit()
conn.close()
with pytest.raises(sqlite3.IntegrityError, match="simulated interruption"):
init_store(db)
conn = sqlite3.connect(db)
assert conn.execute("PRAGMA user_version").fetchone() == (SOURCE_SCHEMA_VERSION,)
assert conn.execute(
"SELECT activity_precision, bytes_written FROM local_days"
).fetchone() == ("legacy", 999_999)
conn.execute("DROP TRIGGER interrupt_local_rebuild")
conn.commit()
conn.close()
conn = init_store(db)
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 10_000
assert summary["bytes_read"] == 3_000
conn.close()
def test_prior_migration_step_commits_before_local_day_repair(tmp_path):
db = tmp_path / "migration-steps.db"
conn = _legacy_store(db)
conn.execute("PRAGMA user_version=4")
conn.execute(
"CREATE TRIGGER interrupt_local_rebuild BEFORE UPDATE OF bytes_written "
"ON local_days BEGIN SELECT RAISE(ABORT, 'simulated interruption'); END"
)
conn.commit()
conn.close()
with pytest.raises(sqlite3.IntegrityError, match="simulated interruption"):
init_store(db)
conn = sqlite3.connect(db)
assert conn.execute("PRAGMA user_version").fetchone() == (5,)
assert conn.execute(
"SELECT 1 FROM sqlite_master WHERE type='table' "
"AND name='local_day_segment_totals'"
).fetchone() is not None
assert conn.execute(
"SELECT bytes_written FROM local_days WHERE local_date=?",
(LOCAL_DATE,),
).fetchone() == (999_999,)
conn.close()
def test_upgrade_does_not_allocate_unzoned_interval_to_overlapping_timezones(
tmp_path,
):
db = tmp_path / "overlapping-timezones.db"
conn = _legacy_store(db)
conn.execute(
"INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, bytes_written, "
" bytes_read, coverage, sample_count, complete, activity_precision) "
"VALUES ('2026-09-02', 'UTC', '+00:00', "
"'2026-09-02T00:00:00+00:00', '2026-09-03T00:00:00+00:00', "
"999999, 888888, 1.0, 24, 1, 'legacy')"
)
conn.execute(
"UPDATE samples SET ts = '2026-09-02T01:00:00+00:00', local_tz = NULL "
"WHERE id = 1"
)
conn.execute(
"UPDATE samples SET ts = '2026-09-02T10:00:00+00:00', local_tz = NULL "
"WHERE id = 2"
)
conn.commit()
conn.close()
conn = init_store(db)
for tz_name in (TIMEZONE, "UTC"):
summary = query_local_day_summary(
conn, LOCAL_DATE, tz_name,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] is None
assert summary["bytes_read"] is None
assert summary["activity_precision"] == "unavailable"
assert summary["activity_state"] == "unavailable"
conn.close()
def test_upgrade_rejects_interval_before_recorded_controller_segment(
tmp_path,
):
db = tmp_path / "segment-boundary.db"
conn = _legacy_store(db)
conn.execute(
"UPDATE controller_segments "
"SET opened_at = '2026-09-01T20:00:00+00:00' WHERE id = 1"
)
conn.commit()
conn.close()
conn = init_store(db)
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] is None
assert summary["bytes_read"] is None
assert summary["activity_precision"] == "unavailable"
conn.close()
def test_sample_at_local_midnight_does_not_hide_coarse_reconstruction(tmp_path):
db = tmp_path / "midnight-sample.db"
conn = _legacy_store(db)
conn.execute(
"UPDATE samples SET ts = '2026-09-01T17:00:00+00:00' WHERE id = 1"
)
conn.execute(
"UPDATE samples SET ts = ?, local_tz = ? WHERE id = 2",
(UTC_END, TIMEZONE),
)
conn.commit()
conn.close()
conn = init_store(db)
summary = query_local_day_summary(
conn, LOCAL_DATE, TIMEZONE,
datetime(2026, 9, 4, tzinfo=timezone.utc),
)
assert summary["bytes_written"] == 123
assert summary["bytes_read"] == 45
assert summary["activity_precision"] == "coarse"
assert summary["activity_state"] == "incomplete"
conn.close()
+108 -7
View File
@@ -6,26 +6,24 @@ Covers:
- Three-minute cadence constants - Three-minute cadence constants
- TUI integration with live graph - TUI integration with live graph
""" """
import sys
from datetime import datetime, timedelta, timezone from datetime import datetime, timedelta, timezone
from pathlib import Path from pathlib import Path
import pytest import pytest
import sys
sys.path.insert(0, str(Path(__file__).parent.parent / "src")) sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris.store import init_store from fenris.activity_selection import IntervalIdentity
from fenris.monitoring_periods import ensure_period_open from fenris.monitoring_periods import ensure_period_open
from fenris.status import ACCURACY_SEC, CADENCE_DEFAULT_S, FRESH_THRESHOLD_S
from fenris.store import init_store
from fenris.tui import ( from fenris.tui import (
LIVE_WINDOW_H,
FenrisTuiApp, FenrisTuiApp,
LiveActivityGraph, LiveActivityGraph,
_query_live_graph_data, _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 # Helpers
@@ -63,6 +61,27 @@ def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start)) ensure_period_open(conn, datetime.fromisoformat(start))
def _live_intervals(count=4):
first = datetime(2026, 9, 28, 12, 0, tzinfo=timezone.utc)
intervals = []
for index in range(count):
start = first + timedelta(minutes=3 * index)
end = start + timedelta(minutes=3)
intervals.append({
"start_ts": start.isoformat(),
"end_ts": end.isoformat(),
"start_label": start.strftime("%H:%M"),
"end_label": end.strftime("%H:%M"),
"bytes_written": (index + 1) * 1000,
"bytes_read": (index + 1) * 500,
"elapsed_s": 180,
"is_gap": False,
"is_zero": False,
"is_segment_boundary": False,
})
return intervals
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Cadence constants (issue #91 AC1) # Cadence constants (issue #91 AC1)
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -322,3 +341,85 @@ class TestTUILiveIntegration:
await pilot.pause() await pilot.pause()
main_grid = app.query_one("#main-grid") main_grid = app.query_one("#main-grid")
assert main_grid.has_class("constrained") assert main_grid.has_class("constrained")
@pytest.mark.asyncio
@pytest.mark.parametrize("size", [(100, 40), (70, 20)])
async def test_follow_pin_expiry_and_today_use_visible_readout(self, tmp_path, size):
"""Live selection follows, pins, expires, and resets at both layout sizes."""
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
intervals = _live_intervals()
async with app.run_test(size=size) as pilot:
await pilot.pause()
graph = app.query_one("#live-activity")
graph.set_data(intervals[:3])
readout = str(app.query_one("#live-readout").render())
assert "12:09 UTC" in readout
assert graph.selection.following_live
assert graph.selection.selected_live_interval == IntervalIdentity(
intervals[2]["start_ts"], intervals[2]["end_ts"]
)
# Refresh while following selects the newly measured newest point.
graph.set_data(intervals)
assert "12:12 UTC" in str(app.query_one("#live-readout").render())
# Live graph receives focus at launch; first arrow pins immediately.
await pilot.press("left")
pinned = graph.selection.selected_live_interval
readout = str(app.query_one("#live-readout").render())
assert "12:09 UTC" in readout
assert not graph.selection.following_live
graph.set_data(intervals)
readout = str(app.query_one("#live-readout").render())
assert "12:09 UTC" in readout
assert graph.selection.selected_live_interval == pinned
# Read/write changes presentation only; pinned point stays stable.
await pilot.press("w")
graph.set_data(intervals)
assert graph.measure == "read"
assert graph.selection.selected_live_interval == pinned
assert "12:09 UTC" in str(app.query_one("#live-readout").render())
# Remove pinned interval from rolling window. Explain expiration.
graph.set_data(intervals[3:])
readout = str(app.query_one("#live-readout").render())
assert "Inspected interval expired; following live" in readout
assert "12:12 UTC" in readout
assert graph.selection.following_live
# Today action clears expiration and resumes newest-point following.
await pilot.press("t")
assert graph.selection.following_live
assert not graph.selection.live_interval_expired
graph.set_data(intervals)
readout = str(app.query_one("#live-readout").render())
assert "12:12 UTC" in readout
assert "Inspected interval expired" not in readout
assert graph.selection.following_live
@pytest.mark.asyncio
async def test_mouse_inspection_pins_same_interval_identity(self, tmp_path):
"""Mouse inspection pins the interval at its visible graph location."""
app = FenrisTuiApp(store_path=tmp_path / "test.db", refresh_interval_s=999)
intervals = _live_intervals()
async with app.run_test(size=(100, 40)) as pilot:
await pilot.pause()
graph = app.query_one("#live-activity")
graph.set_data(intervals[:3])
await pilot.pause()
render = app.query_one("#live-render")
await pilot.click(
"#live-render",
offset=(8, max(0, render.content_size.height // 2)),
)
await pilot.pause()
expected = IntervalIdentity(
intervals[0]["start_ts"], intervals[0]["end_ts"]
)
assert graph.selection.selected_live_interval == expected
assert not graph.selection.following_live
assert "12:03 UTC" in str(app.query_one("#live-readout").render())
+520 -14
View File
@@ -25,6 +25,7 @@ from fenris.store import init_store, SCHEMA_VERSION
from fenris.local_day import ( from fenris.local_day import (
derive_local_day_summary, derive_local_day_summary,
persist_local_day, persist_local_day,
record_local_activity_interval,
query_local_day_summary, query_local_day_summary,
query_current_local_day, query_current_local_day,
LocalDaySummary, LocalDaySummary,
@@ -135,13 +136,56 @@ class TestSchemaMigration:
assert count == 0 assert count == 0
conn.close() conn.close()
def test_v4_totals_keep_values_but_are_not_treated_as_local_precision(
self, tmp_path,
):
db = tmp_path / "v4.db"
conn = sqlite3.connect(db)
conn.execute(
"CREATE TABLE samples (id INTEGER PRIMARY KEY, ts TEXT, device TEXT)"
)
conn.execute(
"CREATE TABLE pending_publications "
"(id INTEGER PRIMARY KEY, sample_ts TEXT, payload TEXT)"
)
conn.execute(
"CREATE TABLE local_days ("
"id INTEGER PRIMARY KEY, 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, sample_count INTEGER DEFAULT 0, "
"complete BOOLEAN DEFAULT 0, UNIQUE(local_date, tz_name))"
)
conn.execute(
"INSERT INTO local_days VALUES "
"(1, '2026-09-01', 'UTC', '+00:00', "
"'2026-09-01T00:00:00+00:00', '2026-09-02T00:00:00+00:00', "
"5120000, 2048000, 0.5, 10, 0)"
)
conn.execute("PRAGMA user_version=4")
conn.commit()
conn.close()
conn = init_store(db)
stored = conn.execute(
"SELECT bytes_written, activity_precision FROM local_days"
).fetchone()
assert stored == (5_120_000, "unavailable")
visible = query_local_day_summary(conn, "2026-09-01", "UTC")
assert visible["bytes_written"] is None
assert visible["activity_state"] == "unavailable"
assert "local_tz" in {
row[1] for row in conn.execute("PRAGMA table_info(samples)")
}
conn.close()
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Local-day derivation from UTC hours # Local-day coverage derivation from UTC hours
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
class TestDeriveLocalDay: class TestDeriveLocalDay:
"""Derive local-day summaries from UTC hour observations.""" """Derive coverage from UTC hours without allocating local-day bytes."""
def test_utc_plus_zero(self, tmp_path): def test_utc_plus_zero(self, tmp_path):
"""UTC timezone: local day boundaries = UTC day boundaries.""" """UTC timezone: local day boundaries = UTC day boundaries."""
@@ -158,8 +202,9 @@ class TestDeriveLocalDay:
assert summary.local_date == "2026-09-01" assert summary.local_date == "2026-09-01"
assert summary.tz_name == "UTC" assert summary.tz_name == "UTC"
assert summary.tz_offset == "+00:00" assert summary.tz_offset == "+00:00"
assert summary.bytes_written == 300 assert summary.bytes_written == 0
assert summary.bytes_read == 130 assert summary.bytes_read == 0
assert summary.activity_precision == "unavailable"
assert summary.complete is False # not all 24 hours covered assert summary.complete is False # not all 24 hours covered
conn.close() conn.close()
@@ -179,12 +224,13 @@ class TestDeriveLocalDay:
assert summary.local_date == "2026-09-01" assert summary.local_date == "2026-09-01"
assert summary.tz_name == "Asia/Kolkata" assert summary.tz_name == "Asia/Kolkata"
assert summary.tz_offset == "+05:30" assert summary.tz_offset == "+05:30"
assert summary.bytes_written == 300 assert summary.bytes_written == 0
assert summary.bytes_read == 130 assert summary.bytes_read == 0
assert summary.activity_precision == "unavailable"
conn.close() conn.close()
def test_midnight_spanning_hour_included(self, tmp_path): def test_hourly_bytes_cannot_be_allocated_to_local_midnight(self, tmp_path):
"""UTC hour straddling local midnight is included in the local day.""" """UTC-hour totals do not establish exact local-day byte totals."""
conn = init_store(tmp_path / "obs.db") conn = init_store(tmp_path / "obs.db")
# For UTC+5:30, local day 2026-09-01 starts at 2026-08-31T18:30 UTC # For UTC+5:30, local day 2026-09-01 starts at 2026-08-31T18:30 UTC
@@ -196,9 +242,9 @@ class TestDeriveLocalDay:
summary = derive_local_day_summary(conn, "Asia/Kolkata", clock) summary = derive_local_day_summary(conn, "Asia/Kolkata", clock)
assert summary is not None assert summary is not None
# The midnight-spanning hour (18:00) is included assert summary.bytes_written == 0
assert summary.bytes_written == 300 assert summary.bytes_read == 0
assert summary.bytes_read == 130 assert summary.activity_precision == "unavailable"
conn.close() conn.close()
def test_no_hours_returns_none(self, tmp_path): def test_no_hours_returns_none(self, tmp_path):
@@ -387,6 +433,411 @@ class TestCollectorIntegration:
assert row[1] == 30 * 512000 # reads assert row[1] == 30 * 512000 # reads
conn.close() conn.close()
def test_interval_crossing_utc_hour_stays_wholly_in_local_day(
self, tmp_path, sysfs_tree, monkeypatch,
):
"""A measured interval inside one local date keeps its full delta."""
from fenris.collector import run_collection
monkeypatch.setenv("TZ", "Asia/Kolkata")
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
first_at = datetime(2026, 9, 1, 12, 59, tzinfo=timezone.utc)
second_at = datetime(2026, 9, 1, 13, 1, tzinfo=timezone.utc)
first = run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)
second = run_collection(
_make_smartctl(10_000_010, 8_000_004),
sysfs_nvme,
cfg,
_Clock(second_at),
)
assert first["ok"] and second["ok"]
conn = sqlite3.connect(store)
summary = query_local_day_summary(conn, "2026-09-01")
assert summary is not None
assert summary["bytes_written"] == 5_120_000
assert summary["bytes_read"] == 2_048_000
assert summary["segments"] == [{
"segment_id": 1,
"bytes_written": 5_120_000,
"bytes_read": 2_048_000,
"activity_seconds": 120,
"activity_intervals": 1,
}]
segment_totals = conn.execute(
"SELECT segment_id, bytes_written, bytes_read, activity_intervals "
"FROM local_day_segment_totals"
).fetchone()
assert segment_totals == (1, 5_120_000, 2_048_000, 1)
samples = conn.execute(
"SELECT id, ts, bytes_written, bytes_read, local_tz "
"FROM samples ORDER BY id"
).fetchall()
first_sample, second_sample = samples
assert record_local_activity_interval(
conn,
dict(zip(("id", "ts", "bytes_written", "bytes_read", "local_tz"), first_sample)),
dict(zip(("id", "ts", "bytes_written", "bytes_read", "local_tz"), second_sample)),
start_sample_id=first_sample[0],
end_sample_id=second_sample[0],
segment_id=1,
) == "known"
repeated = query_local_day_summary(conn, "2026-09-01", "Asia/Kolkata")
assert repeated["bytes_written"] == 5_120_000
assert repeated["bytes_read"] == 2_048_000
assert conn.execute(
"SELECT SUM(bytes_written), SUM(bytes_read), SUM(activity_intervals) "
"FROM local_day_segment_totals"
).fetchone() == (5_120_000, 2_048_000, 1)
conn.close()
@pytest.mark.parametrize(
(
"first_at", "second_at", "local_date", "expected_hours",
"expected_start", "expected_end", "expected_offset",
),
[
(
datetime(2026, 3, 8, 6, 30, tzinfo=timezone.utc),
datetime(2026, 3, 8, 7, 30, tzinfo=timezone.utc),
"2026-03-08", 23,
"2026-03-08T05:00:00+00:00",
"2026-03-09T04:00:00+00:00", "-05:00",
),
(
datetime(2026, 11, 1, 5, 30, tzinfo=timezone.utc),
datetime(2026, 11, 1, 6, 30, tzinfo=timezone.utc),
"2026-11-01", 25,
"2026-11-01T04:00:00+00:00",
"2026-11-02T05:00:00+00:00", "-04:00",
),
],
ids=("spring-forward", "fall-back-repeated-hour"),
)
def test_collector_retains_exact_interval_on_dst_local_day(
self,
tmp_path,
sysfs_tree,
monkeypatch,
first_at,
second_at,
local_date,
expected_hours,
expected_start,
expected_end,
expected_offset,
):
"""Collection preserves exact activity on short and long local days."""
from fenris.collector import run_collection
zone = "America/New_York"
monkeypatch.setenv("TZ", zone)
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
assert run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)["ok"]
assert run_collection(
_make_smartctl(10_000_001, 8_000_002),
sysfs_nvme,
cfg,
_Clock(second_at),
)["ok"]
conn = sqlite3.connect(store)
summary = query_local_day_summary(
conn, local_date, zone, second_at + timedelta(minutes=1)
)
assert summary is not None
assert summary["bytes_written"] == 512_000
assert summary["bytes_read"] == 1_024_000
assert summary["activity_seconds"] == 3_600
assert summary["utc_start"] == expected_start
assert summary["utc_end"] == expected_end
assert summary["tz_offset"] == expected_offset
assert (
datetime.fromisoformat(summary["utc_end"])
- datetime.fromisoformat(summary["utc_start"])
).total_seconds() == expected_hours * 3_600
conn.close()
@pytest.mark.asyncio
async def test_local_midnight_interval_is_shared_once(
self, tmp_path, sysfs_tree, monkeypatch,
):
"""A real counter interval crossing local midnight stays unallocated."""
from fenris.collector import run_collection
monkeypatch.setenv("TZ", "Asia/Kolkata")
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
first_at = datetime(2026, 9, 1, 18, 25, tzinfo=timezone.utc)
second_at = datetime(2026, 9, 1, 18, 35, tzinfo=timezone.utc)
first = run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)
second = run_collection(
_make_smartctl(10_000_100, 8_000_060),
sysfs_nvme,
cfg,
_Clock(second_at),
)
assert first["ok"] and second["ok"]
conn = sqlite3.connect(store)
evidence = conn.execute(
"SELECT COUNT(*), SUM(bytes_written), SUM(bytes_read) "
"FROM local_day_unallocated_evidence"
).fetchone()
assert evidence == (1, 51_200_000, 30_720_000)
assert conn.execute(
"SELECT SUM(bytes_written), SUM(bytes_read) FROM local_days"
).fetchone() == (0, 0)
for local_date in ("2026-09-01", "2026-09-02"):
summary = query_local_day_summary(
conn, local_date, "Asia/Kolkata", second_at
)
assert summary is not None
assert summary["bytes_written"] is None
assert summary["shared_bytes_written"] == 51_200_000
assert summary["shared_bytes_read"] == 30_720_000
assert summary["activity_state"] in ("incomplete", "so_far")
conn.close()
from fenris.status import read_status
from fenris.tui import FenrisTuiApp
app = FenrisTuiApp(store_path=Path(store), refresh_interval_s=999)
async with app.run_test(size=(100, 32)):
app._browse_date = "2026-09-02"
with read_status(
Path(store), second_at, query_services=False
) as (reader, _):
assert reader is not None
app._render_local_day(reader)
visible = str(app.query_one("#local-day").render())
assert "2026-09-02" in visible
assert "Asia/Kolkata +05:30" in visible
assert "W unavailable" in visible
assert "shared at midnight W 0.051 GB" in visible
def test_synthetic_shared_bytes_conserve_one_hundred_bytes(self, tmp_path):
"""Shared evidence conserves byte values before display rounding."""
conn = init_store(tmp_path / "obs.db")
first_at = datetime(2026, 9, 1, 18, 25, tzinfo=timezone.utc)
second_at = datetime(2026, 9, 3, 18, 35, tzinfo=timezone.utc)
ensure_period_open(conn, first_at)
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, local_tz) "
"VALUES (?, ?, ?, ?, ?)",
(first_at.isoformat(), "/dev/nvme0", 1_000, 2_000, "Asia/Kolkata"),
)
first_id = conn.execute("SELECT last_insert_rowid()").fetchone()[0]
conn.execute(
"INSERT INTO samples (ts, device, bytes_written, bytes_read, local_tz) "
"VALUES (?, ?, ?, ?, ?)",
(second_at.isoformat(), "/dev/nvme0", 1_100, 2_050, "Asia/Kolkata"),
)
second_id = conn.execute("SELECT last_insert_rowid()").fetchone()[0]
result = record_local_activity_interval(
conn,
{
"id": first_id,
"ts": first_at.isoformat(),
"bytes_written": 1_000,
"bytes_read": 2_000,
"local_tz": "Asia/Kolkata",
},
{
"id": second_id,
"ts": second_at.isoformat(),
"bytes_written": 1_100,
"bytes_read": 2_050,
"local_tz": "Asia/Kolkata",
},
start_sample_id=first_id,
end_sample_id=second_id,
segment_id=1,
)
assert result == "local_midnight"
stored = conn.execute(
"SELECT COUNT(*), SUM(bytes_written), SUM(bytes_read) "
"FROM local_day_unallocated_evidence"
).fetchone()
assert stored == (1, 100, 50)
record_local_activity_interval(
conn,
{
"id": first_id,
"ts": first_at.isoformat(),
"bytes_written": 1_000,
"bytes_read": 2_000,
"local_tz": "Asia/Kolkata",
},
{
"id": second_id,
"ts": second_at.isoformat(),
"bytes_written": 1_100,
"bytes_read": 2_050,
"local_tz": "Asia/Kolkata",
},
start_sample_id=first_id,
end_sample_id=second_id,
segment_id=1,
)
assert conn.execute(
"SELECT COUNT(*), SUM(bytes_written), SUM(bytes_read) "
"FROM local_day_unallocated_evidence"
).fetchone() == (1, 100, 50)
assert conn.execute(
"SELECT SUM(bytes_written), SUM(bytes_read) FROM local_days"
).fetchone() == (0, 0)
middle_day = query_local_day_summary(
conn, "2026-09-03", "Asia/Kolkata", second_at + timedelta(days=1)
)
assert middle_day["shared_bytes_written"] == 100
assert middle_day["shared_bytes_read"] == 50
assert middle_day["shared_evidence_count"] == 1
conn.close()
def test_timezone_change_keeps_interval_unallocated(
self, tmp_path, sysfs_tree, monkeypatch,
):
from fenris.collector import run_collection
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
first_at = datetime(2026, 9, 1, 22, 0, tzinfo=timezone.utc)
second_at = datetime(2026, 9, 1, 22, 5, tzinfo=timezone.utc)
monkeypatch.setenv("TZ", "UTC")
assert run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)["ok"]
monkeypatch.setenv("TZ", "Asia/Kolkata")
assert run_collection(
_make_smartctl(10_000_010, 8_000_004),
sysfs_nvme,
cfg,
_Clock(second_at),
)["ok"]
conn = sqlite3.connect(store)
event = conn.execute(
"SELECT COUNT(*), SUM(bytes_written), MIN(reason) "
"FROM local_day_unallocated_evidence"
).fetchone()
assert event == (1, 5_120_000, "timezone_change")
old_zone = query_local_day_summary(conn, "2026-09-01", "UTC")
new_zone = query_local_day_summary(conn, "2026-09-02", "Asia/Kolkata")
assert old_zone["bytes_written"] is None
assert new_zone["bytes_written"] is None
assert old_zone["unallocated_bytes_written"] == 5_120_000
assert new_zone["unallocated_bytes_written"] == 5_120_000
conn.close()
def test_pause_boundary_keeps_interval_unallocated(
self, tmp_path, sysfs_tree, monkeypatch,
):
from fenris.collector import run_collection
monkeypatch.setenv("TZ", "UTC")
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
first_at = datetime(2026, 9, 1, 12, 0, tzinfo=timezone.utc)
second_at = datetime(2026, 9, 1, 12, 10, tzinfo=timezone.utc)
assert run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)["ok"]
conn = sqlite3.connect(store)
close_period(conn, first_at + timedelta(minutes=5), "user_disabled")
conn.close()
assert run_collection(
_make_smartctl(10_000_010, 8_000_004),
sysfs_nvme,
cfg,
_Clock(second_at),
)["ok"]
conn = sqlite3.connect(store)
reason = conn.execute(
"SELECT reason FROM local_day_unallocated_evidence"
).fetchone()
summary = query_local_day_summary(conn, "2026-09-01", "UTC")
assert reason == ("monitoring_period",)
assert summary["bytes_written"] is None
assert summary["unallocated_bytes_written"] == 5_120_000
assert summary["shared_bytes_written"] == 0
conn.close()
def test_controller_segment_boundary_marks_local_activity_incomplete(
self, tmp_path, sysfs_tree, monkeypatch,
):
from fenris.collector import run_collection
monkeypatch.setenv("TZ", "UTC")
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
first_at = datetime(2026, 9, 1, 12, 0, tzinfo=timezone.utc)
second_at = datetime(2026, 9, 1, 12, 5, tzinfo=timezone.utc)
assert run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)["ok"]
assert run_collection(
_make_smartctl(10, 8_000_004),
sysfs_nvme,
cfg,
_Clock(second_at),
)["ok"]
conn = sqlite3.connect(store)
summary = query_local_day_summary(
conn, "2026-09-01", "UTC", second_at
)
assert summary is not None
assert summary["bytes_written"] is None
assert summary["activity_state"] == "incomplete"
assert conn.execute(
"SELECT COUNT(*) FROM local_day_unallocated_evidence"
).fetchone()[0] == 0
conn.close()
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# DST handling (23/25-hour days) # DST handling (23/25-hour days)
@@ -402,17 +853,72 @@ class TestDSTHandling:
# Simulate a 23-hour day in a timezone with DST # Simulate a 23-hour day in a timezone with DST
# For simplicity, just verify the summary records the correct UTC range # For simplicity, just verify the summary records the correct UTC range
clock = datetime(2026, 3, 8, 12, 0, 0, tzinfo=timezone.utc) clock = datetime(2026, 3, 8, 12, 0, 0, tzinfo=timezone.utc)
# US/Eastern springs forward on 2026-03-08 # New York springs forward on 2026-03-08
# Local day 2026-03-08 is 23 hours: UTC [07:00, 06:00+1d) # 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, "2026-03-08T08:00:00+00:00", bw=100, active=3600)
_insert_hour(conn, "2026-03-08T12:00:00+00:00", bw=200, 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) summary = derive_local_day_summary(conn, "America/New_York", clock)
assert summary is not None assert summary is not None
assert summary.local_date == "2026-03-08" assert summary.local_date == "2026-03-08"
# UTC range should be approximately 23 hours # UTC range should be approximately 23 hours
utc_start = datetime.fromisoformat(summary.utc_start) utc_start = datetime.fromisoformat(summary.utc_start)
utc_end = datetime.fromisoformat(summary.utc_end) utc_end = datetime.fromisoformat(summary.utc_end)
duration = (utc_end - utc_start).total_seconds() duration = (utc_end - utc_start).total_seconds()
assert 22 * 3600 <= duration <= 24 * 3600 # ~23h ± tolerance assert duration == 23 * 3600
conn.close()
def test_long_day_25_hours(self):
from fenris.local_day import local_day_boundaries
start, end, offset = local_day_boundaries(
"2026-11-01", "America/New_York"
)
assert (end - start).total_seconds() == 25 * 3600
assert offset == "-04:00"
def test_half_hour_offset_records_exact_local_boundaries(self):
from fenris.local_day import local_day_boundaries
start, end, offset = local_day_boundaries(
"2026-09-01", "Asia/Kolkata"
)
assert start.isoformat() == "2026-08-31T18:30:00+00:00"
assert end.isoformat() == "2026-09-01T18:30:00+00:00"
assert offset == "+05:30"
def test_repeated_local_clock_labels_remain_one_recorded_day(
self, tmp_path, sysfs_tree, monkeypatch,
):
from fenris.collector import run_collection
monkeypatch.setenv("TZ", "America/New_York")
store = str(tmp_path / "obs.db")
cfg = {"device": "/dev/nvme0", "store_path": store}
sysfs_nvme = sysfs_tree / "sys" / "class" / "nvme" / "nvme0"
# Both endpoints display as 01:30 locally, on opposite UTC offsets.
first_at = datetime(2026, 11, 1, 5, 30, tzinfo=timezone.utc)
second_at = datetime(2026, 11, 1, 6, 30, tzinfo=timezone.utc)
assert run_collection(
_make_smartctl(10_000_000, 8_000_000),
sysfs_nvme,
cfg,
_Clock(first_at),
)["ok"]
assert run_collection(
_make_smartctl(10_000_001, 8_000_002),
sysfs_nvme,
cfg,
_Clock(second_at),
)["ok"]
conn = sqlite3.connect(store)
summary = query_local_day_summary(
conn, "2026-11-01", "America/New_York", second_at
)
assert summary is not None
assert summary["bytes_written"] == 512_000
assert summary["bytes_read"] == 1_024_000
assert summary["utc_start"] == "2026-11-01T04:00:00+00:00"
assert summary["utc_end"] == "2026-11-02T05:00:00+00:00"
conn.close() conn.close()
+2 -2
View File
@@ -100,8 +100,8 @@ def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
conn.execute( conn.execute(
"INSERT INTO local_days " "INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, " "(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) " " bytes_written, bytes_read, coverage, sample_count, complete, activity_intervals) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 1)",
(local_date, tz_name, tz_offset, utc_start, utc_end, (local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete), bw, br, coverage, samples, complete),
) )
+17 -15
View File
@@ -27,9 +27,14 @@ def store_conn(tmp_path: Path):
def _insert_sample(conn, ts_iso, device="/dev/nvme0"): def _insert_sample(conn, ts_iso, device="/dev/nvme0"):
conn.execute(
"INSERT OR IGNORE INTO controller_segments "
"(id, opened_at, identity_key) VALUES (1, '2026-01-01T00:00:00+00:00', 'test')"
)
conn.execute( conn.execute(
"INSERT INTO samples (ts, device, data_units_written, data_units_read, " "INSERT INTO samples (ts, device, data_units_written, data_units_read, "
" bytes_written, bytes_read, percentage_used) VALUES (?, ?, 0, 0, 0, 0, 0)", " bytes_written, bytes_read, percentage_used, segment_id, local_tz) "
"VALUES (?, ?, 0, 0, 0, 0, 0, 1, 'UTC')",
(ts_iso, device), (ts_iso, device),
) )
conn.commit() conn.commit()
@@ -50,33 +55,30 @@ class TestPruneOldSamples:
cursor = store_conn.execute("SELECT COUNT(*) FROM samples") cursor = store_conn.execute("SELECT COUNT(*) FROM samples")
assert cursor.fetchone()[0] == 1 assert cursor.fetchone()[0] == 1
def test_removes_old_samples(self, store_conn): def test_keeps_old_samples_without_replacement_evidence(self, store_conn):
now = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc)
# Insert samples at 10, 14, and 15 days ago # Old samples stay until UTC and local-day evidence replace them.
# All three are before the cutoff (2026-09-01T12:00:00)
# The 15-day-old sample is not a boundary anchor because
# the next sample (14 days ago) is also before the cutoff
for days_ago in [10, 14, 15]: for days_ago in [10, 14, 15]:
ts = (now - timedelta(days=days_ago)).isoformat() ts = (now - timedelta(days=days_ago)).isoformat()
_insert_sample(store_conn, ts) _insert_sample(store_conn, ts)
pruned = prune_old_samples(store_conn, now, retention_days=14) pruned = prune_old_samples(store_conn, now, retention_days=14)
assert pruned == 1 # Only the 15-day-old sample removed assert pruned == 0
cursor = store_conn.execute("SELECT COUNT(*) FROM samples") cursor = store_conn.execute("SELECT COUNT(*) FROM samples")
assert cursor.fetchone()[0] == 2 assert cursor.fetchone()[0] == 3
def test_removes_many_old_samples(self, store_conn): def test_keeps_many_old_samples_without_replacement_evidence(self, store_conn):
now = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc)
for days_ago in range(1, 30): for days_ago in range(1, 30):
ts = (now - timedelta(days=days_ago)).isoformat() ts = (now - timedelta(days=days_ago)).isoformat()
_insert_sample(store_conn, ts) _insert_sample(store_conn, ts)
pruned = prune_old_samples(store_conn, now, retention_days=14) pruned = prune_old_samples(store_conn, now, retention_days=14)
assert pruned == 15 # Days 15-29 removed assert pruned == 0
cursor = store_conn.execute("SELECT COUNT(*) FROM samples") cursor = store_conn.execute("SELECT COUNT(*) FROM samples")
assert cursor.fetchone()[0] == 14 # Days 1-14 kept assert cursor.fetchone()[0] == 29
def test_empty_store_no_error(self, store_conn): def test_empty_store_no_error(self, store_conn):
now = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 9, 15, 12, 0, 0, tzinfo=timezone.utc)
@@ -130,8 +132,8 @@ class TestPruneOldSamples:
) )
assert cursor.fetchone()[0] == 1 assert cursor.fetchone()[0] == 1
def test_old_sample_with_derived_interval_removed(self, store_conn): def test_hour_rows_alone_do_not_replace_local_day_evidence(self, store_conn):
"""Old samples with fully derived intervals are removed.""" """An hour row alone cannot authorize source-sample deletion."""
now = datetime(2026, 9, 30, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 9, 30, 12, 0, 0, tzinfo=timezone.utc)
# Old sample with derived interval # Old sample with derived interval
@@ -148,8 +150,8 @@ class TestPruneOldSamples:
# Run pruning # Run pruning
pruned = prune_old_samples(store_conn, now, retention_days=14) pruned = prune_old_samples(store_conn, now, retention_days=14)
# Old sample should be removed (interval is derived) # Keep the source samples until local-day replacement evidence exists.
cursor = store_conn.execute( cursor = store_conn.execute(
"SELECT COUNT(*) FROM samples WHERE ts = '2026-09-10T10:00:00+00:00'" "SELECT COUNT(*) FROM samples WHERE ts = '2026-09-10T10:00:00+00:00'"
) )
assert cursor.fetchone()[0] == 0 assert cursor.fetchone()[0] == 1
+7 -8
View File
@@ -235,8 +235,8 @@ class TestBoundaryAnchorRetention:
# the interval spans the retention boundary # the interval spans the retention boundary
assert needs_boundary_anchor(store_conn, "2026-09-15T23:55:00+00:00", now) assert needs_boundary_anchor(store_conn, "2026-09-15T23:55:00+00:00", now)
def test_not_boundary_anchor_if_fully_derived(self, store_conn): def test_hour_only_derivation_does_not_replace_local_day_evidence(self, store_conn):
"""Sample that's fully derived is not a boundary anchor.""" """UTC hour evidence alone does not make a sample safe to prune."""
now = datetime(2026, 9, 30, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 9, 30, 12, 0, 0, tzinfo=timezone.utc)
# Insert sample and fully derive its interval # Insert sample and fully derive its interval
@@ -247,8 +247,7 @@ class TestBoundaryAnchorRetention:
_insert_hour(store_conn, "2026-09-14T10:00:00+00:00", _insert_hour(store_conn, "2026-09-14T10:00:00+00:00",
bytes_written_delta=1000000) bytes_written_delta=1000000)
# Not a boundary anchor assert needs_boundary_anchor(store_conn, "2026-09-14T10:00:00+00:00", now)
assert not needs_boundary_anchor(store_conn, "2026-09-14T10:00:00+00:00", now)
def test_pruning_retains_boundary_anchors(self, store_conn): def test_pruning_retains_boundary_anchors(self, store_conn):
"""Pruning keeps samples needed as boundary anchors.""" """Pruning keeps samples needed as boundary anchors."""
@@ -274,8 +273,8 @@ class TestBoundaryAnchorRetention:
) )
assert cursor.fetchone()[0] == 1 assert cursor.fetchone()[0] == 1
def test_pruning_removes_old_sample_with_derived_interval(self, store_conn): def test_pruning_keeps_samples_without_local_day_replacement(self, store_conn):
"""Pruning removes old samples when interval is fully derived.""" """Pruning keeps samples when only the UTC-hour row exists."""
now = datetime(2026, 9, 30, 12, 0, 0, tzinfo=timezone.utc) now = datetime(2026, 9, 30, 12, 0, 0, tzinfo=timezone.utc)
# Old sample with derived interval # Old sample with derived interval
@@ -289,11 +288,11 @@ class TestBoundaryAnchorRetention:
# Run pruning # Run pruning
pruned = prune_old_samples(store_conn, now, retention_days=14) pruned = prune_old_samples(store_conn, now, retention_days=14)
# Old sample should be removed (interval is derived) # The source remains until local-day evidence is also durable.
cursor = store_conn.execute( cursor = store_conn.execute(
"SELECT COUNT(*) FROM samples WHERE ts = '2026-09-10T10:00:00+00:00'" "SELECT COUNT(*) FROM samples WHERE ts = '2026-09-10T10:00:00+00:00'"
) )
assert cursor.fetchone()[0] == 0 assert cursor.fetchone()[0] == 1
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
+2 -2
View File
@@ -259,8 +259,8 @@ class TestKeyCeremonyDoc:
def test_documents_private_key_storage(self): def test_documents_private_key_storage(self):
content = self._doc_content() content = self._doc_content()
assert "password manager" in content.lower(), \ assert "gitea repository actions secret `gpg_private_key`" in content.lower(), \
"Must document that private key lives in password manager" "Must document that Gitea Actions stores the private signing key"
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
+33 -23
View File
@@ -60,6 +60,13 @@ def _clock(year=2026, month=9, day=30, hour=12):
return datetime(year, month, day, hour, 0, 0, tzinfo=timezone.utc) return datetime(year, month, day, hour, 0, 0, tzinfo=timezone.utc)
class _FrozenTuiDateTime(datetime):
@classmethod
def now(cls, tz=None):
instant = datetime(2026, 9, 28, 12, 0, 0, tzinfo=timezone.utc)
return instant.replace(tzinfo=None) if tz is None else instant.astimezone(tz)
def _insert_baseline(conn, tbw_tb=1.0, verified=True, def _insert_baseline(conn, tbw_tb=1.0, verified=True,
model="Samsung SSD 970 EVO Plus 1TB"): model="Samsung SSD 970 EVO Plus 1TB"):
conn.execute( conn.execute(
@@ -109,6 +116,7 @@ def _insert_sample(conn, ts, pu=5, device="/dev/nvme0n1"):
def _open_period(conn, start="2026-09-01T00:00:00+00:00"): def _open_period(conn, start="2026-09-01T00:00:00+00:00"):
ensure_period_open(conn, datetime.fromisoformat(start)) ensure_period_open(conn, datetime.fromisoformat(start))
conn.commit()
def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00", def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
@@ -123,8 +131,8 @@ def _insert_local_day(conn, local_date, tz_name="UTC", tz_offset="+00:00",
conn.execute( conn.execute(
"INSERT INTO local_days " "INSERT INTO local_days "
"(local_date, tz_name, tz_offset, utc_start, utc_end, " "(local_date, tz_name, tz_offset, utc_start, utc_end, "
" bytes_written, bytes_read, coverage, sample_count, complete) " " bytes_written, bytes_read, coverage, sample_count, complete, activity_intervals) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 1)",
(local_date, tz_name, tz_offset, utc_start, utc_end, (local_date, tz_name, tz_offset, utc_start, utc_end,
bw, br, coverage, samples, complete), bw, br, coverage, samples, complete),
) )
@@ -926,6 +934,7 @@ class TestBarGraphTUI:
for i in range(14): for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d") d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100) _insert_day(conn, d, bw=1024*1024*100)
_insert_local_day(conn, d, bw=1024*1024*100)
_insert_sample(conn, "2026-09-30T10:00:00+00:00") _insert_sample(conn, "2026-09-30T10:00:00+00:00")
conn.close() conn.close()
@@ -940,11 +949,9 @@ class TestBarGraphTUI:
assert "Unalloc" in legend assert "Unalloc" in legend
assert "Zero" in legend assert "Zero" in legend
range_label = str(app.query_one("#bar-range").render()) range_label = str(app.query_one("#bar-range").render())
assert "14 days" in range_label assert "14 local days" in range_label
assert "UTC" in range_label
plotted = str(app.query_one("#bar-render").render()) plotted = str(app.query_one("#bar-render").render())
assert "Writes (" in legend assert "Writes (" in legend
assert "UTC" in range_label
assert "─" in plotted assert "─" in plotted
@pytest.mark.asyncio @pytest.mark.asyncio
@@ -956,6 +963,7 @@ class TestBarGraphTUI:
for i in range(14): for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d") d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100) _insert_day(conn, d, bw=1024*1024*100)
_insert_local_day(conn, d, bw=1024*1024*100)
_insert_sample(conn, "2026-09-30T10:00:00+00:00") _insert_sample(conn, "2026-09-30T10:00:00+00:00")
conn.close() conn.close()
@@ -1021,7 +1029,7 @@ class TestBarGraphTUI:
assert len(graph._day_data) == 90 assert len(graph._day_data) == 90
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_readout_updates_on_selection(self, tmp_path): async def test_readout_updates_on_selection(self, tmp_path, monkeypatch):
"""Readout shows selected day info.""" """Readout shows selected day info."""
conn = init_store(tmp_path / "test.db") conn = init_store(tmp_path / "test.db")
_insert_segment(conn) _insert_segment(conn)
@@ -1029,9 +1037,11 @@ class TestBarGraphTUI:
for i in range(14): for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d") d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100) _insert_day(conn, d, bw=1024*1024*100)
_insert_local_day(conn, d, bw=1024*1024*100)
_insert_sample(conn, "2026-09-30T10:00:00+00:00") _insert_sample(conn, "2026-09-30T10:00:00+00:00")
conn.close() conn.close()
monkeypatch.setattr("fenris.tui.datetime", _FrozenTuiDateTime)
app = FenrisTuiApp(store_path=tmp_path / "test.db") app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test(size=(80, 24)) as pilot: async with app.run_test(size=(80, 24)) as pilot:
await pilot.press("v", "v") await pilot.press("v", "v")
@@ -1042,18 +1052,19 @@ class TestBarGraphTUI:
# Newest day is selected initially. # Newest day is selected initially.
readout = str(app.query_one("#bar-readout").render()) readout = str(app.query_one("#bar-readout").render())
assert "UTC" in readout assert "totals so far" in readout
assert "GB" in readout assert "W 0.105 GB known" in readout
# Moving left updates the selected-day readout. # Moving left updates the selected-day readout.
await pilot.press("left") await pilot.press("left")
await pilot.pause() await pilot.pause()
readout = str(app.query_one("#bar-readout").render()) readout = str(app.query_one("#bar-readout").render())
assert "2026-09" in readout assert "2026-09" in readout
assert "GB" in readout assert "incomplete" in readout
assert "W 0.105 GB known" in readout
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_hourly_drill_down_and_back(self, tmp_path): async def test_hourly_drill_down_and_back(self, tmp_path, monkeypatch):
"""Enter drills into hourly view, Esc returns to daily.""" """Enter drills into hourly view, Esc returns to daily."""
conn = init_store(tmp_path / "test.db") conn = init_store(tmp_path / "test.db")
_insert_segment(conn) _insert_segment(conn)
@@ -1061,6 +1072,7 @@ class TestBarGraphTUI:
for i in range(14): for i in range(14):
d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d") d = (datetime(2026, 9, 15) + timedelta(days=i)).strftime("%Y-%m-%d")
_insert_day(conn, d, bw=1024*1024*100) _insert_day(conn, d, bw=1024*1024*100)
_insert_local_day(conn, d, bw=1024*1024*100)
# Insert hours for each day # Insert hours for each day
for h in range(24): for h in range(24):
hour = "%sT%02d:00:00+00:00" % (d, h) hour = "%sT%02d:00:00+00:00" % (d, h)
@@ -1069,6 +1081,7 @@ class TestBarGraphTUI:
_insert_sample(conn, "2026-09-30T10:00:00+00:00") _insert_sample(conn, "2026-09-30T10:00:00+00:00")
conn.close() conn.close()
monkeypatch.setattr("fenris.tui.datetime", _FrozenTuiDateTime)
app = FenrisTuiApp(store_path=tmp_path / "test.db") app = FenrisTuiApp(store_path=tmp_path / "test.db")
async with app.run_test(size=(80, 24)) as pilot: async with app.run_test(size=(80, 24)) as pilot:
await pilot.press("v", "v") await pilot.press("v", "v")
@@ -1077,30 +1090,27 @@ class TestBarGraphTUI:
await pilot.pause() await pilot.pause()
await pilot.pause() await pilot.pause()
# The newest day is selected automatically. assert app.query_one("#activity-tabs").active == "view-history"
assert graph.selected_index == len(graph._day_data) - 1 daily_readout = str(app.query_one("#bar-readout").render())
assert graph.view_mode == "daily"
# Enter drill-down # Enter drill-down
await pilot.press("enter") await pilot.press("enter")
await pilot.pause() await pilot.pause()
assert graph.view_mode == "hourly" assert app.query_one("#activity-tabs").active == "view-day"
assert graph.drill_day is not None assert "UTC" in str(app.query_one("#bar-readout").render())
assert len(graph._hour_data) == 24
# Five-minute data refreshes retain the selected hour. # Inspection identity survives refresh through visible readout.
graph._hourly_selected = 12 await pilot.press("left")
selected_hour = graph._hour_data[12]["hour"] selected_hour = str(app.query_one("#bar-readout").render())
app._refresh() app._refresh()
await pilot.pause() await pilot.pause()
assert graph.view_mode == "hourly" assert str(app.query_one("#bar-readout").render()) == selected_hour
assert graph._hour_data[graph._hourly_selected]["hour"] == selected_hour
# Esc returns to daily # Esc returns to daily
await pilot.press("escape") await pilot.press("escape")
await pilot.pause() await pilot.pause()
assert graph.view_mode == "daily" assert app.query_one("#activity-tabs").active == "view-history"
assert graph.drill_day is None assert str(app.query_one("#bar-readout").render()) == daily_readout
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_empty_store_graph(self, tmp_path): async def test_empty_store_graph(self, tmp_path):
+26
View File
@@ -0,0 +1,26 @@
"""Timezone detection tests."""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
from fenris import tz_util
def test_relative_localtime_symlink_returns_zoneinfo_key(tmp_path, monkeypatch):
zoneinfo = tmp_path / "usr" / "share" / "zoneinfo" / "Asia" / "Kolkata"
zoneinfo.parent.mkdir(parents=True)
zoneinfo.write_bytes(b"zoneinfo")
localtime = tmp_path / "etc" / "localtime"
localtime.parent.mkdir()
localtime.symlink_to("../usr/share/zoneinfo/Asia/Kolkata")
real_path = tz_util.Path
monkeypatch.setattr(
tz_util,
"Path",
lambda path: localtime if path == "/etc/localtime" else real_path(path),
)
monkeypatch.delenv("TZ", raising=False)
assert tz_util.detect_system_tz() == "Asia/Kolkata"