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c4e64d2b9a US07-04: Prove Concurrency and Crash Recovery 2026-08-17 11:08:51 +02:00
39 changed files with 153 additions and 4786 deletions

9
.gitignore vendored
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@@ -20,12 +20,3 @@ _IGNORE/
# Test failure evidence (US07-04)
.artifacts/
# Any dotenv, not only the default name.
*.env
# Local virtualenv for running the app.
.venv/
# setuptools editable-install metadata.
*.egg-info/

217
README.md
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@@ -7,49 +7,16 @@ archive workflow. Planning lives in `INTEGRATED_PIPELINE_CONCEPT.md` and
## Application (`photo_pipeline`)
The target application lives in `photo_pipeline/` (FastAPI + SQLAlchemy + Alembic).
Install it into a virtualenv once:
Run it with:
```bash
python3.12 -m venv .venv
.venv/bin/pip install -e ".[vision]" # drop [vision] for a review-only install
python -m photo_pipeline migrate # apply database migrations
python -m photo_pipeline serve # start the API + static review UI (127.0.0.1:8000)
```
Then run the two processes:
```bash
.venv/bin/python -m photo_pipeline migrate # apply database migrations
.venv/bin/python -m photo_pipeline serve # API + review UI at 127.0.0.1:8000/app/
.venv/bin/python -m photo_pipeline worker # second terminal: runs the jobs
```
The server enqueues work and serves the UI; nothing actually scans, scores,
analyses, uploads, or archives without a worker. `work_item/scripts/python` is the
*helper's* launcher — it prefers Conda base and falls back to a bare system
interpreter, so it is not how the application is run.
Configuration comes from `PHOTO_PIPELINE_*` environment variables (see
`photo_pipeline/config.py`); secrets are referenced, never logged.
### Configuration file
`.env` in the working directory is read at startup, or any path named by
`PHOTO_PIPELINE_ENV_FILE`. It is parsed, never executed: `KEY=value` lines,
`#` comments, optional quotes — no interpolation and no `export`. **Anything already
exported wins**, so the file is the standing configuration and the shell is the
override for one run.
The archived CLI's variable names still work, so an existing `photo_analyzer.env`
can be used as-is:
| in the file | applied as |
|---|---|
| `LLM_API_KEY` / `GEMINI_API_KEY` | `OPENAI_API_KEY` |
| `LLM_BASE_URL` | `OPENAI_BASE_URL` |
| `LIBRARY` | `PHOTO_PIPELINE_LIBRARY_ROOTS` |
`.env` and `*.env` are gitignored and denied by the work-item safety checks: the
file holds a real key and must never be committed.
### API access (US07-02)
The app listens on loopback, so its attacker is another page in the same browser.
@@ -314,184 +281,6 @@ file in the temporary library are copied to `.artifacts/<test id>/` before pytes
deletes the directory. Point `PHOTO_PIPELINE_TEST_ARTIFACTS` elsewhere to collect
them from CI.
## Release gate (US07-07)
One command runs every suite in an isolated stack and keeps the evidence:
```bash
work_item/scripts/python -m photo_pipeline release-gate --output data/release/$(date -u +%Y%m%dT%H%M%SZ)
```
It fails — and exits non-zero — when any stage fails, when a suite skips a test for
a reason that is not a documented environment limit (`exiftool not installed`,
`root ignores directory permissions`), or when the story matrix has a hole. The
evidence directory holds `release-report.json` (revision, per-stage result, timings,
summaries), `logs/<stage>.log`, and `CHECKSUMS.sha256` over both.
**The story matrix** lives in `tests/story_traceability.json`: every story under
`delivery_backlog/stories/` is either mapped to test files that exist, or listed in
`planned` as an accepted but unimplemented story. A story that is neither, or a
mapping to a file that has been deleted, fails the gate.
**The journey** (`tests/e2e/test_release_journey.py`) takes one fresh library through
discovery, duplicate review, safety, analysis, EXIF verification, album proposal,
guarded rename, rescan, upload with server-side verification, archive, offline
deduplication, and restore — over HTTP against real server and worker processes,
with a full restart in the middle and at the end.
### Real-library dry run and approval
Before the application is pointed at photos that cannot be replaced:
```bash
work_item/scripts/python -m photo_pipeline dry-run --output dry-run.json
work_item/scripts/python -m photo_pipeline approve-dry-run dry-run.json --approver "$(whoami)"
```
The dry run is strictly read-only: it opens no file for writing, writes no database
row, and reports what it found — file counts by extension, folders, bytes, unreadable
files, excluded directories, and a reconciliation against what the database already
knows (already registered, new, recorded but absent). Set
`PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL=1` and **every mutating API request is
refused with `403 dry_run_not_approved`** until a report for exactly those library
roots has been approved. Reading stays open — you have to be able to see what was
found in order to approve it — and so does taking a backup. Change the library roots
and the approval no longer applies: it approves that reconciliation, not the idea of
mutating.
## Performance budgets (US07-06)
Budgets are measured, not asserted in prose. `python -m photo_pipeline benchmark`
builds a synthetic library of a stated size, runs the same scenarios every time,
writes a machine-readable report, and **exits non-zero when a budget is breached**.
```bash
work_item/scripts/python -m photo_pipeline benchmark --profile smoke # ~2 s, runs in CI
work_item/scripts/python -m photo_pipeline benchmark --profile short # 25k assets
work_item/scripts/python -m photo_pipeline benchmark --profile full \
--output data/benchmarks/full.json # 25k + 100k
work_item/scripts/python -m photo_pipeline benchmark --profile huge \
--soak-seconds 3600 --output data/benchmarks/soak.json # 500k + soak
```
| Metric | Budget | Why |
|---|---|---|
| `latency_p95_ms` | 250 ms | a list or search page must feel immediate |
| `latency_max_ms` | 2 000 ms | no single page may stall the review flow |
| `rss_growth_bytes` | 400 MB | a run must not leak the library |
| `open_files` | 256 | file descriptors are a hard operating-system limit |
| `wal_bytes` | 200 MB | a growing write-ahead log means checkpoints are starving |
| `queue_depth` | 1 000 | an unbounded queue is an out-of-memory in waiting |
| `cache_over_quota_bytes` | 0 | the thumbnail cache has to respect its quota |
Measured on the reference machine (Apple Silicon, SQLite WAL), p95 per scenario:
| Scenario | 25k | 100k |
|---|---|---|
| `inventory_page` | 0.5 ms | 0.6 ms |
| `library_search` | 4.8 ms | 17.1 ms |
| `library_stats` | 56.8 ms | 197.4 ms |
| `workflow_readiness` | 52.6 ms | 235.4 ms |
| `duplicate_cluster_list` | 0.6 ms | 0.5 ms |
| `duplicate_cluster_page` | 1.7 ms | 1.7 ms |
CI runs the `smoke` profile through `tests/integration/test_performance_budgets.py`;
the 25k/100k/500k matrix and the multi-hour soak belong to scheduled infrastructure,
because minutes of build time do not belong in the suite that runs on every change.
**Exceptions.** A budget that cannot be met is not a warning to ignore: it goes into
`APPROVED_EXCEPTIONS` in `photo_pipeline/services/benchmarks.py` with its raised
limit, who approved it, why, and a review date. Every report lists the exceptions it
applied, so a release review sees them.
Approved today, both for the 500k `huge` profile only, review by 2027-02-17:
| Scenario | Measured at 500k | Raised limit |
|---|---|---|
| `library_stats` | 1.08 s p95 · 3.2 s max | 1.5 s p95 · 4 s max |
| `workflow_readiness` | 1.40 s p95 · 3.3 s max | 1.8 s p95 · 4 s max |
Both are library-wide aggregates — the current safety decision of every asset, and
the album/tag/year breakdown of every analysis row — and both meet the 250 ms budget
at the 100k rows the concept sets it for. Beyond that they are linear against one
SQLite writer; the fix is denormalized totals or the planned PostgreSQL transition,
not a query tweak. Everything else at 500k is inside budget, and a soak at that size
grows neither resident memory nor the job queue.
## Backup and recovery (US07-05)
Backups go through SQLite's online backup API, never a file copy: with WAL enabled
the `.db` file alone is missing every committed page still in the write-ahead log.
Each backup is a directory under `data/backups/` holding the snapshot and a
`manifest.json` describing it — schema revision, SHA-256, row counts, the archive
media the library depends on, and which configuration was set. Secrets are recorded
as `configured`, never as values, so a manifest is safe to attach to a bug report.
```bash
work_item/scripts/python -m photo_pipeline backup --reason before-upgrade --keep 7
work_item/scripts/python -m photo_pipeline verify-backup data/backups/<name>
work_item/scripts/python -m photo_pipeline diagnostics
```
The same is available at `GET /api/v1/diagnostics`, `GET|POST /api/v1/backups`,
`GET /api/v1/backups/{name}/verify`, and `POST /api/v1/backups/prune`. **Restore is
not an endpoint** — it replaces the state of an installation, so it belongs to a
stopped one and a person at a terminal.
### Integrity check
`verify-backup` runs `PRAGMA integrity_check` (structure) *and*
`PRAGMA foreign_key_check` (references), compares the snapshot's SHA-256 with the
manifest, and re-counts every table the manifest recorded. Any mismatch — bit rot, a
truncated copy, a "repaired" snapshot — fails the check, and `restore` refuses a
backup that does not verify.
### Restore drill
1. Stop the server and the worker.
2. `python -m photo_pipeline verify-backup data/backups/<name>` — never restore an
unverified snapshot.
3. `python -m photo_pipeline restore data/backups/<name> --into /path/to/fresh-data`
(a target that already holds a database is refused; recovering in place means
moving the old data directory aside first).
4. Point `PHOTO_PIPELINE_DATA_DIR` at the restored directory and run
`python -m photo_pipeline migrate`.
5. Run an inventory scan so paths are reconciled against the real library.
6. Mount every archive location named in the manifest before archiving again — the
database records where archived originals are, but it does not contain them.
Practise this against a copy before you need it; the drill is exercised
automatically by `tests/integration/test_backup_recovery.py`.
### Failed migration
A pending schema upgrade is snapshotted first (`reason: pre-migration`), by both the
API startup and `python -m photo_pipeline migrate`. If a migration fails, the error
log names the backup directory: stop everything and run the restore drill against
it. An up-to-date database is not backed up again on every start.
### Archive media
Archived originals live on their medium, not in the backup. The manifest lists every
archive location with its `media_id` and whether it was mounted when the backup was
taken. Keep one copy of each medium off-site, and remount a location before
restoring assets from it.
### Retention and disk
`--keep N` (default 7) prunes the oldest backups and never the newest.
`diagnostics` reports the database, write-ahead log, thumbnail cache, uploader
reports, backups, and logs separately, with free space and warnings for low disk
(`disk_low`, `disk_critical`), a cache over its quota, a write-ahead log outgrowing
its database, and a legacy CLI writing the library.
### Process locking
`serve` and `worker` take a JSON lock in the data directory (`api.lock.json`,
`worker.lock.json`). A second worker exits `2` and names the holder; a lock whose
process is gone is taken over. If the frozen CLI's state files are being written,
both refuse with exit `3` — `--allow-legacy` overrides, and you own the outcome.
## Legacy CLI archive
The command-line tools this application was extracted from are frozen in

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@@ -1,32 +0,0 @@
# E08 — Container Deployment
Concept phase: none. This epic is a delivery-format addition on top of the concept:
the same application, same safety invariants, packaged as a Docker image and deployed
continuously from Gitea Actions instead of being started by hand from a working copy.
It does not change the product scope in
[`INTEGRATED_PIPELINE_CONCEPT.md`](../INTEGRATED_PIPELINE_CONCEPT.md). SQLite stays the
store, one worker stays the writer, the library process lock stays authoritative, and
no path outside the configured library roots becomes reachable because the process now
runs in a container.
One decision does extend the concept and is made here explicitly: the application may
be reached through a reverse proxy under a real hostname, not only over loopback. That
requires a configurable trust boundary and an authentication gate, because the
loopback-only checks of US07-02 are what currently stand in for authentication.
## Stories
1. [US08-01 — Make the trust boundary configurable and authenticated](stories/US08-01-trusted-hosts-auth.md)
2. [US08-02 — Build a reproducible application image](stories/US08-02-container-image.md)
3. [US08-03 — Compose the runtime and mount the library safely](stories/US08-03-compose-runtime.md)
4. [US08-04 — Publish and deploy from Gitea Actions](stories/US08-04-gitea-cicd.md)
5. [US08-05 — Automate container deployment acceptance](stories/US08-05-container-e2e.md)
## Epic outcome
A tagged image built from `main` runs the API and the worker as separate containers
against a mounted library and a persistent data volume, is published to the Gitea
registry, is redeployed by webhook, survives restart and upgrade with its database and
journals intact, and refuses every request that a loopback deployment would have
refused.

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@@ -2,13 +2,11 @@
This backlog decomposes the phases in
[`INTEGRATED_PIPELINE_CONCEPT.md`](../INTEGRATED_PIPELINE_CONCEPT.md) into seven
epics and small, independently verifiable user stories, plus one delivery-format
epic (E08) that packages the released application as a deployable container.
epics and small, independently verifiable user stories.
## Numbering and file naming
- Epics: `E01` through `E07`, matching concept Phases A through G; `E08` has no
concept phase and must not change product scope.
- Epics: `E01` through `E07`, matching concept Phases A through G.
- Stories: `US<epic>-<sequence>`, for example `US03-02`.
- Epic files: `E01-<slug>.md`.
- Story files: `stories/US01-01-<slug>.md`.
@@ -38,7 +36,6 @@ epic (E08) that packages the released application as a deployable container.
5. [E05 — Immich upload](E05-immich-upload.md)
6. [E06 — Archive lifecycle](E06-archive-lifecycle.md)
7. [E07 — Hardening and release](E07-hardening-release.md)
8. [E08 — Container deployment](E08-container-deployment.md)
## Shared definition of done

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@@ -1,42 +0,0 @@
# US08-01 — Make the Trust Boundary Configurable and Authenticated
Epic: [E08](../E08-container-deployment.md)
As an operator, I want to reach the application through my own hostname without
weakening it, so a container behind a reverse proxy is as safe as the loopback
deployment it replaces.
## Context
`photo_pipeline/api/security.py` refuses any request whose `Host` or `Origin` is not
loopback. That check is the current stand-in for authentication: whoever can reach
`127.0.0.1:8000` is the owner. Behind a proxy the hostname is no longer loopback, so
relaxing the check without adding an authentication gate would publish the library.
## Acceptance criteria
- Allowed hosts and origins come from configuration (`PHOTO_PIPELINE_*`), default to
the current loopback set, and an unset configuration behaves exactly as today.
- Whenever a non-loopback host is configured, startup requires an access secret and
refuses to serve without one; loopback-only deployments keep working with no secret.
- The secret is exchanged for the existing session cookie and CSRF token through the
bootstrap endpoint; every protected route keeps its current session and CSRF
requirements unchanged.
- Forwarded headers (`X-Forwarded-Proto`, `X-Forwarded-Host`) are honored only from a
configured trusted proxy and ignored otherwise, so a client cannot forge its origin.
- Cookies are marked `Secure` when the effective external scheme is HTTPS.
- Failed authentication is rate-limited and logged without the secret, the session id,
or any request body.
- Health endpoints stay reachable without the secret; nothing else does.
## Automated tests
- Unit tests for host/origin evaluation across loopback default, configured host,
unconfigured host, forged forwarded headers, and trusted-proxy forwarded headers.
- Integration tests: startup refusal without a secret, successful exchange, wrong
secret, replay of an old session, cross-site request, and unauthenticated access to
every route class.
## Dependencies
- US07-02

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@@ -1,41 +0,0 @@
# US08-02 — Build a Reproducible Application Image
Epic: [E08](../E08-container-deployment.md)
As an operator, I want one image that can run either application role, so deployment is
a pull instead of a Python environment I have to reproduce by hand.
## Context
The application shells out to `exiftool` and `immich-go`, writes into the library as a
normal filesystem user, and serves a static frontend from `frontend/`. All three have to
be true inside the image, or the container starts and then fails on the first real
operation.
## Acceptance criteria
- A `Dockerfile` builds from a pinned Python base, installs the project and its runtime
dependencies, and contains no test, playwright, or build-only tooling in the final
layer.
- `exiftool` and `immich-go` are present at pinned versions, and their versions are
recorded in the image and reported by `python -m photo_pipeline diagnostics`.
- The image runs as a non-root user whose UID/GID are build-time arguments, so files
the application renames or writes keep the ownership the host library expects.
- One entrypoint selects the role: `serve` or `worker`, passing through the existing
CLI arguments; no supervisor runs two roles in one container.
- `serve` containers declare a `HEALTHCHECK` against `/api/v1/health/ready`, so an
unmigrated or misconfigured database is not reported healthy.
- The image contains no secrets, no library data, no database, and no `.git`; the build
context is constrained by `.dockerignore`.
- Image build is reproducible from a clean checkout and documented in `README.md`.
## Automated tests
- A build-and-run test asserts the image starts, reports ready, serves the frontend
index, and returns the pinned `exiftool` and `immich-go` versions.
- A test asserts the container refuses to run as UID 0 and that a file created by the
container is owned by the configured UID/GID.
## Dependencies
- US07-05

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@@ -1,47 +0,0 @@
# US08-03 — Compose the Runtime and Mount the Library Safely
Epic: [E08](../E08-container-deployment.md)
As an operator, I want a single compose file that runs the API and the worker against my
real library, so a deployment is one command and the safety invariants survive it.
## Context
The library process lock (US07-05) assumes both roles see the same lock file, and SQLite
in WAL mode assumes a real local filesystem. Container path policy is the same problem
as host path policy with a new failure mode: the configured library roots must name the
in-container mount paths, not the host paths.
## Acceptance criteria
- `docker-compose.yml` runs exactly one `serve` and one `worker` container from the same
image and the same data volume, and a second worker is refused by the existing lock
rather than by convention.
- The library is a bind mount; `PHOTO_PIPELINE_LIBRARY_ROOTS` names the container-side
paths, and a mismatch between mounted and configured roots fails at startup with a
clear message instead of at the first write.
- The data volume holds the database, WAL, thumbnail cache, and backups on a local
filesystem; the composition documents that a network mount is unsupported for it.
- Migrations run before `serve` and `worker` accept work, using the existing backup-then-
migrate path, and an upgrade that fails leaves the previous database intact.
- Configuration and secrets come from the environment, never from the image or a
committed file; a `.env.example` lists every `PHOTO_PIPELINE_*` variable with safe
defaults and no values.
- The API port is published to host loopback by default; exposing it publicly requires
the configured hostname and access secret from US08-01.
- Containers restart automatically, and a restart mid-job resumes exactly as a host
restart does today.
- Backup, verify-backup, restore, and diagnostics are documented as container commands
and work against the mounted volumes.
## Automated tests
- An integration test brings the composition up against a temporary fixture library,
runs a job, restarts both containers, and asserts the job resumes and the database is
intact.
- Tests for: second worker refused, library-root mismatch refused at startup, failed
migration leaving the previous database restorable.
## Dependencies
- US08-01, US08-02

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@@ -1,40 +0,0 @@
# US08-04 — Publish and Deploy from Gitea Actions
Epic: [E08](../E08-container-deployment.md)
As a release owner, I want `main` to build, publish, and redeploy the image
automatically, so deployment is the same reproducible path every time.
## Context
The workflow is adapted from the `crowdsec-admin` deployment workflow
(`.gitea/workflows/deploy.yml` in that repository): build, log in to the Gitea registry,
push, trigger a Portainer webhook, prune. This project needs the same shape plus a test
gate, because unlike that project it has a required suite that must not be skipped.
## Acceptance criteria
- `.gitea/workflows/` contains a test workflow that runs on pull requests and on `main`,
executing the configured required suites, and a deploy workflow that runs only after
the tests pass on `main` and on manual dispatch.
- The deploy workflow publishes to `git.domverse-berlin.eu` under this project's own
image path, tagged `latest` and the commit SHA, so a rollback is a tag change.
- Registry credentials and the Portainer webhook come from repository secrets; runtime
secrets (vision key, Immich key, access secret) stay in the Portainer stack and never
enter the repository or the image.
- Redeploy is triggered by webhook and the workflow fails when the webhook call fails.
- Dangling images are pruned; published tags are not.
- A concurrency guard prevents two deploys of different commits overlapping.
- `README.md` documents the required secrets, the image path, the rollback procedure,
and that the stack is managed by Portainer from git.
## Automated tests
- Workflow files are validated (syntax and required job/step names) by a repository test
so a rename cannot silently disable the test gate.
- A dry-run job builds and pushes to a scratch tag on manual dispatch without touching
`latest` or triggering a redeploy.
## Dependencies
- US08-02, US08-03

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@@ -1,30 +0,0 @@
# US08-05 — Automate Container Deployment Acceptance
Epic: [E08](../E08-container-deployment.md)
As a release owner, I want one automated gate that proves the deployed container, so the
packaged application is verified the same way the host application is.
## Acceptance criteria
- One documented command provisions the composition from the built image against a
temporary fixture library and an isolated data volume, and destroys it afterwards.
- A browser journey against the containerized application covers discovery, duplicate
review, analysis, album proposal, rename, upload preflight, and archive views.
- An upgrade journey runs the previous published image, then the new one, and asserts
migrations, journals, jobs, and the thumbnail cache survive.
- A restart journey kills both containers mid-job and asserts resume without duplicate
side effects.
- Security gates run against the deployed instance: unauthenticated access refused,
forged forwarded headers refused, paths outside the mounted library roots refused, and
no secret in container logs.
- Evidence is retained per run and the gate fails on any skipped required check.
## Automated tests
- The container acceptance suite runs on a `phase_h` marker in CI on `main` and before a
published deploy; earlier epic suites keep running unchanged.
## Dependencies
- US08-01 through US08-04

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@@ -74,10 +74,8 @@ export const api = {
request("/inventory/assets?" + new URLSearchParams(params).toString(), opts),
listClusters: (params = {}, opts = {}) =>
request("/duplicates/clusters?" + new URLSearchParams(params).toString(), opts),
getCluster: (id, params = {}, opts = {}) => {
const query = new URLSearchParams(params).toString();
return request(`/duplicates/clusters/${encodeURIComponent(id)}${query ? `?${query}` : ""}`, opts);
},
getCluster: (id, opts = {}) =>
request(`/duplicates/clusters/${encodeURIComponent(id)}`, opts),
decide: (id, payload, opts = {}) =>
request(`/duplicates/clusters/${encodeURIComponent(id)}/decision`, {
method: "POST",

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@@ -193,7 +193,7 @@ async function renderClusters(params) {
" ",
el("span", { class: `badge ${cluster.state}` }, cluster.state)
),
el("div", { class: "muted" }, `${cluster.member_total ?? cluster.members.length} members · confidence ${cluster.confidence}`)
el("div", { class: "muted" }, `${cluster.members.length} members · confidence ${cluster.confidence}`)
)
);
@@ -207,11 +207,8 @@ async function renderClusters(params) {
async function renderClusterDetail(id, extra = {}) {
setActiveNav("duplicates");
let cluster;
// A cluster can hold thousands of members, so the server pages them; the page
// asks for as many as it is currently showing (US07-06).
const shown = extra.shown || 0;
try {
cluster = await api.getCluster(id, shown ? { limit: shown } : {});
cluster = await api.getCluster(id);
} catch (error) {
show(errorBanner(`Failed to load cluster: ${error.message}`));
return;
@@ -301,19 +298,6 @@ async function renderClusterDetail(id, extra = {}) {
nodes.push(decisionBar);
if (extra.pending) nodes.push(confirmPanel(cluster, extra.pending));
nodes.push(el("div", { class: "cluster-grid" }, ...members));
const total = cluster.member_total ?? cluster.members.length;
if (cluster.members.length < total) {
nodes.push(
el(
"button",
{
"data-testid": "show-more-members",
onclick: () => renderClusterDetail(id, { ...extra, shown: cluster.members.length + 100 }),
},
`Show more (${cluster.members.length} of ${total})`
)
);
}
show(...nodes);
}

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@@ -1,45 +0,0 @@
"""Indexes the large-library read paths need (US07-06).
Revision ID: 0016_performance_indexes
Revises: 0015_exif_projections
Create Date: 2026-08-17
Measured, not guessed. At 100k assets the workflow home and the safety queue both
resolve "the current decision per asset" with a window function over
``safety_reviews``; a plain ``asset_id`` index makes SQLite sort every partition by
hand. Ordering the index by ``(asset_id, created_at DESC)`` halves that query.
``duplicate_members(cluster_id, asset_id)`` serves the paged member list of a
cluster with thousands of members, which is the other page that stopped being cheap.
"""
from alembic import op
revision = "0016_performance_indexes"
down_revision = "0015_exif_projections"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.create_index(
"ix_safety_reviews_asset_created",
"safety_reviews",
["asset_id", "created_at"],
)
op.create_index(
"ix_duplicate_members_cluster_asset",
"duplicate_members",
["cluster_id", "asset_id"],
)
op.create_index(
"ix_analysis_results_approx_year",
"analysis_results",
["approx_year"],
)
def downgrade() -> None:
op.drop_index("ix_analysis_results_approx_year", table_name="analysis_results")
op.drop_index("ix_duplicate_members_cluster_asset", table_name="duplicate_members")
op.drop_index("ix_safety_reviews_asset_created", table_name="safety_reviews")

View File

@@ -1,37 +1,21 @@
"""Application management CLI:
``python -m photo_pipeline {serve,migrate,worker,import-legacy-scores,backup,verify-backup,restore,diagnostics}``.
``serve`` and ``worker`` take the library process lock for their role (US07-05):
two workers, or the frozen CLI running beside the app, would each be safe on their
own and destructive together. ``restore`` is here rather than in the API because it
replaces the state of an installation and belongs to a stopped one.
"""
"""Application management CLI: ``python -m photo_pipeline {serve,migrate,worker,import-legacy-scores}``."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Sequence
from photo_pipeline.config import Config
from photo_pipeline.services.app_lock import LegacyProcessActive, LibraryLock, LockHeld
from photo_pipeline.services.backup import BackupError, BackupService, migrate_with_backup
from photo_pipeline.db import run_migrations
def main(argv: Sequence[str] | None = None) -> int:
parser = argparse.ArgumentParser(prog="photo_pipeline")
commands = parser.add_subparsers(dest="command", required=True)
serve_cmd = commands.add_parser("serve", help="Run the API server")
commands.add_parser("serve", help="Run the API server")
commands.add_parser("migrate", help="Upgrade the database to the latest revision")
worker_cmd = commands.add_parser("worker", help="Run a durable-job worker")
worker_cmd.add_argument("--id", default="worker-1", help="Worker id (lease owner)")
for locked in (serve_cmd, worker_cmd):
locked.add_argument(
"--allow-legacy",
action="store_true",
help="Start even though a legacy CLI looks active (unsafe; you own the outcome)",
)
import_cmd = commands.add_parser(
"import-legacy-scores",
help="Import the archived CLI's nsfw_scores.csv into the database (US07-01)",
@@ -43,139 +27,22 @@ def main(argv: Sequence[str] | None = None) -> int:
import_cmd.add_argument(
"--dry-run", action="store_true", help="Report what would happen and change nothing"
)
backup_cmd = commands.add_parser("backup", help="Take an online database backup")
backup_cmd.add_argument("--reason", default="manual", help="Why (part of the directory name)")
backup_cmd.add_argument("--keep", type=int, default=7, help="How many backups to retain")
verify_cmd = commands.add_parser("verify-backup", help="Check a backup is intact and readable")
verify_cmd.add_argument("backup", help="Path to the backup directory")
restore_cmd = commands.add_parser(
"restore", help="Restore a verified backup into a fresh data directory"
)
restore_cmd.add_argument("backup", help="Path to the backup directory")
restore_cmd.add_argument("--into", required=True, help="Fresh data directory to restore into")
commands.add_parser("diagnostics", help="Report sizes, disk headroom, locks, and warnings")
bench_cmd = commands.add_parser(
"benchmark", help="Measure latency and resource use against agreed budgets (US07-06)"
)
bench_cmd.add_argument("--profile", default="smoke", help="smoke | short | full | huge")
bench_cmd.add_argument(
"--soak-seconds", type=float, default=0.0, help="Also run a soak of this length"
)
bench_cmd.add_argument("--output", help="Write the JSON report here as well as to stdout")
gate_cmd = commands.add_parser(
"release-gate", help="Run every suite in an isolated stack and keep the evidence"
)
gate_cmd.add_argument("--output", help="Evidence directory (default: data/release/<stamp>)")
dry_cmd = commands.add_parser(
"dry-run", help="Read-only reconciliation of the configured library (US07-07)"
)
dry_cmd.add_argument("--output", help="Write the report here as well as to stdout")
approve_cmd = commands.add_parser(
"approve-dry-run", help="Approve a dry-run report, which is what enables mutation"
)
approve_cmd.add_argument("report", help="Path to the dry-run report")
approve_cmd.add_argument("--approver", required=True, help="Who is accepting this")
args = parser.parse_args(argv)
config = Config.from_env()
config.database_path.parent.mkdir(parents=True, exist_ok=True)
if args.command == "migrate":
manifest = migrate_with_backup(config)
if manifest:
print(json.dumps({"pre_migration_backup": manifest["name"]}, indent=2))
return 0
if args.command == "backup":
try:
manifest = BackupService(config).create(reason=args.reason, keep=args.keep)
except BackupError as error:
print(str(error))
return 1
print(json.dumps(manifest, indent=2))
return 0
if args.command == "verify-backup":
result = BackupService(config).verify(args.backup)
print(json.dumps(result.as_dict(), indent=2))
return 0 if result.ok else 1
if args.command == "restore":
try:
report = BackupService(config).restore(args.backup, args.into)
except BackupError as error:
print(str(error))
return 1
print(json.dumps(report, indent=2))
return 0
if args.command == "benchmark":
from photo_pipeline.services import benchmarks
try:
report = benchmarks.run(
config,
profile=args.profile,
soak_seconds=args.soak_seconds,
output=args.output,
)
except ValueError as error:
print(str(error))
return 1
print(json.dumps({k: v for k, v in report.items() if k != "runs"}, indent=2))
# A breached budget is a failed run, so a scheduled job notices without
# anyone reading the JSON.
return 0 if report["ok"] else 1
if args.command == "release-gate":
from photo_pipeline.services import release
report = release.run_gate(config, output=args.output)
print(
json.dumps(
{k: v for k, v in report.items() if k not in ("stages", "matrix")}, indent=2
)
)
return 0 if report["ok"] else 1
if args.command == "dry-run":
from photo_pipeline.services import release
try:
report = release.dry_run(config)
except release.ReleaseError as error:
print(str(error))
return 1
if args.output:
Path(args.output).write_text(json.dumps(report, indent=2))
print(json.dumps(report, indent=2))
return 0
if args.command == "approve-dry-run":
from photo_pipeline.services import release
try:
record = release.approve(config, args.report, approver=args.approver)
except (release.ReleaseError, OSError, ValueError) as error:
print(str(error))
return 1
print(json.dumps(record, indent=2))
return 0
if args.command == "diagnostics":
from photo_pipeline.services import diagnostics
print(json.dumps(diagnostics.report(config), indent=2))
run_migrations(config.database_url)
return 0
if args.command == "import-legacy-scores":
import json
from photo_pipeline.db import create_db_engine, create_session_factory
from photo_pipeline.services.legacy_import import LegacyImportService, write_report
migrate_with_backup(config)
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
service = LegacyImportService(create_session_factory(engine))
report = service.import_nsfw_scores(
@@ -196,50 +63,18 @@ def main(argv: Sequence[str] | None = None) -> int:
import photo_pipeline.jobs.domain_handlers # noqa: F401
from photo_pipeline.jobs.worker import Worker
lock = LibraryLock(config, "worker")
if (held := _acquire(lock, allow_legacy=args.allow_legacy)) is not None:
return held
try:
migrate_with_backup(config)
engine = create_db_engine(config.database_url)
Worker(
create_session_factory(engine), worker_id=args.id, config=config
).run_forever()
finally:
lock.release()
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
Worker(create_session_factory(engine), worker_id=args.id, config=config).run_forever()
return 0
import uvicorn
from photo_pipeline.api.app import create_app
lock = LibraryLock(config, "api")
if (held := _acquire(lock, allow_legacy=args.allow_legacy)) is not None:
return held
try:
uvicorn.run(create_app(config), host=config.host, port=config.port)
finally:
lock.release()
uvicorn.run(create_app(config), host=config.host, port=config.port)
return 0
def _acquire(lock: LibraryLock, *, allow_legacy: bool) -> int | None:
"""Take the lock, or explain on stderr why this process must not start.
Returns an exit code to return, or ``None`` when the lock was acquired.
"""
import sys
try:
lock.acquire(allow_legacy=allow_legacy)
except LockHeld as error:
print(str(error), file=sys.stderr)
return 2
except LegacyProcessActive as error:
print(f"{error} (override with --allow-legacy)", file=sys.stderr)
return 3
return None
if __name__ == "__main__":
raise SystemExit(main())

View File

@@ -27,7 +27,6 @@ from photo_pipeline.api.routes import (
inventory,
jobs,
library,
operations,
renames,
safety,
session as session_routes,
@@ -40,8 +39,7 @@ from photo_pipeline.api.security import DEFAULT_HEADERS, SecurityMiddleware, Ses
# Registers the safety_score / analysis job handlers on import.
import photo_pipeline.jobs.domain_handlers # noqa: F401
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory
from photo_pipeline.services.backup import migrate_with_backup
from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
from photo_pipeline.logging import configure_logging
from photo_pipeline.services.thumbnails import ThumbnailService
from photo_pipeline.services.upload_batches import UploadBatchService
@@ -91,9 +89,7 @@ def create_app(config: Config | None = None) -> FastAPI:
@asynccontextmanager
async def lifespan(app: FastAPI):
config.database_path.parent.mkdir(parents=True, exist_ok=True)
# A schema upgrade is snapshotted first, so a migration that fails halfway
# leaves a restorable database behind rather than a damaged one (US07-05).
migrate_with_backup(config)
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
app.state.config = config
app.state.engine = engine
@@ -130,7 +126,6 @@ def create_app(config: Config | None = None) -> FastAPI:
app.include_router(renames.router, prefix="/api/v1")
app.include_router(uploads.router, prefix="/api/v1")
app.include_router(archives.router, prefix="/api/v1")
app.include_router(operations.router, prefix="/api/v1")
# Static single-page app (hash-routed). Mounted last so /api/v1 wins.
if FRONTEND_DIR.is_dir():
app.mount("/app", StaticFiles(directory=FRONTEND_DIR, html=True), name="app")

View File

@@ -11,13 +11,7 @@ from fastapi import APIRouter, Query, Request
from fastapi.responses import JSONResponse
from photo_pipeline.schemas import DecisionRequest
from photo_pipeline.services.duplicates import (
MAX_MEMBER_PAGE,
MEMBER_PAGE,
ConflictError,
DuplicateError,
DuplicateService,
)
from photo_pipeline.services.duplicates import ConflictError, DuplicateError, DuplicateService
router = APIRouter(tags=["duplicates"])
@@ -48,13 +42,8 @@ def list_clusters(
@router.get("/duplicates/clusters/{cluster_id}")
def get_cluster(
cluster_id: str,
request: Request,
limit: int = Query(MEMBER_PAGE, ge=1, le=MAX_MEMBER_PAGE),
offset: int = Query(0, ge=0),
):
detail = _service(request).get_cluster(cluster_id, limit=limit, offset=offset)
def get_cluster(cluster_id: str, request: Request):
detail = _service(request).get_cluster(cluster_id)
if detail is None:
return _error(404, "not_found", f"unknown cluster {cluster_id}")
return detail

View File

@@ -1,70 +0,0 @@
"""Operational endpoints: diagnostics and backups (US07-05).
Backups can be taken and verified here because both are safe, additive, and the
operator needs them from the same screen that shows the disk filling up.
**Restore is deliberately not an endpoint.** It replaces the state of the running
application with an older one, so it belongs to a stopped installation and a person
at a terminal: ``python -m photo_pipeline restore``. An HTTP call that can silently
roll the library back to last week is a hole, not a feature.
"""
from __future__ import annotations
from fastapi import APIRouter, Query, Request
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from photo_pipeline.services import diagnostics
from photo_pipeline.services.backup import DEFAULT_KEEP, BackupError, BackupService
router = APIRouter(tags=["operations"])
class CreateBackupRequest(BaseModel):
reason: str = "manual"
keep: int = DEFAULT_KEEP
def _service(request: Request) -> BackupService:
return BackupService(request.app.state.config)
def _error(status: int, code: str, message: str) -> JSONResponse:
return JSONResponse(status_code=status, content={"error": {"code": code, "message": message}})
@router.get("/diagnostics")
def read_diagnostics(request: Request) -> dict:
return diagnostics.report(request.app.state.config)
@router.get("/backups")
def list_backups(request: Request) -> dict:
return {"backups": _service(request).list()}
@router.post("/backups", status_code=201)
def create_backup(body: CreateBackupRequest, request: Request):
try:
return _service(request).create(reason=body.reason, keep=body.keep)
except BackupError as error:
return _error(422, "backup_failed", str(error))
@router.get("/backups/{name}/verify")
def verify_backup(name: str, request: Request):
service = _service(request)
# The name comes from the browser, so it names a backup — it is never joined
# into a path until it has been matched against one that exists (US07-02).
if name not in {entry["name"] for entry in service.list()}:
return _error(404, "not_found", f"unknown backup {name}")
return {"name": name, **service.verify(service.root / name).as_dict()}
@router.post("/backups/prune")
def prune_backups(request: Request, keep: int = Query(DEFAULT_KEEP, ge=1)):
try:
return {"removed": _service(request).prune(keep=keep)}
except BackupError as error:
return _error(422, "invalid_retention", str(error))

View File

@@ -43,9 +43,6 @@ PUBLIC_PATHS = frozenset(
{f"{API_PREFIX}/health/live", f"{API_PREFIX}/health/ready", f"{API_PREFIX}/session"}
)
LOOPBACK_HOSTS = frozenset({"127.0.0.1", "localhost", "::1", "[::1]"})
# Mutating endpoints that must stay reachable while mutation itself is gated: the
# backup a careful operator takes first, and its retention (US07-07).
MUTATION_EXEMPT_PATHS = frozenset({f"{API_PREFIX}/backups", f"{API_PREFIX}/backups/prune"})
# Applied to every response. No inline script/style is used by the frontend, so the
# policy can stay strict; `frame-ancestors 'none'` and CORP keep other pages from
@@ -148,7 +145,6 @@ class SecurityMiddleware:
def __init__(self, app, *, session: Session, config) -> None:
self.app = app
self.session = session
self.config = config
self.max_request_bytes = config.max_request_bytes
self.allowed_hosts = frozenset(LOOPBACK_HOSTS | {str(config.host).lower()})
@@ -169,8 +165,6 @@ class SecurityMiddleware:
allowed_hosts=self.allowed_hosts,
max_request_bytes=self.max_request_bytes,
)
if refusal is None:
refusal = self._mutation_refusal(scope)
if refusal is not None:
response = JSONResponse(
status_code=refusal.status,
@@ -189,26 +183,6 @@ class SecurityMiddleware:
await self.app(scope, receive, send_with_headers)
def _mutation_refusal(self, scope) -> Refusal | None:
"""Refuse every mutating request while the library's dry run is unapproved.
One choke point for the whole API: every mutation the browser can start is a
non-safe method under ``/api/v1``. Reading stays open — an operator has to be
able to look at what the application found in order to approve it (US07-07).
"""
method = scope.get("method", "GET").upper()
path = scope.get("path", "/")
if method in SAFE_METHODS or not path.startswith(API_PREFIX):
return None
if path in MUTATION_EXEMPT_PATHS:
return None
from photo_pipeline.services.release import mutation_blockers
blockers = mutation_blockers(self.config)
if not blockers:
return None
return Refusal(403, blockers[0]["code"], blockers[0]["message"])
def _cookie(header: str, name: str) -> str:
for part in header.split(";"):

View File

@@ -18,61 +18,6 @@ from typing import Mapping
from pydantic import BaseModel, ConfigDict, SecretStr
ENV_PREFIX = "PHOTO_PIPELINE_"
ENV_FILE_VAR = f"{ENV_PREFIX}ENV_FILE"
DEFAULT_ENV_FILE = Path(".env")
# The archived CLI's variable names, so the configuration file an operator already
# has keeps working. The vision provider reads the OpenAI SDK's names, and the
# library root is configuration here rather than a bare path (US07-01 donor).
LEGACY_ALIASES = {
"LLM_API_KEY": "OPENAI_API_KEY",
"GEMINI_API_KEY": "OPENAI_API_KEY",
"LLM_BASE_URL": "OPENAI_BASE_URL",
"LIBRARY": f"{ENV_PREFIX}LIBRARY_ROOTS",
}
def parse_env_file(text: str) -> dict[str, str]:
"""``KEY=value`` lines into a mapping. Comments, blanks, and quotes handled.
Deliberately not a shell: no interpolation, no ``export``, no multi-line values.
A configuration file that can run code is a configuration file that can be a
vulnerability.
"""
values: dict[str, str] = {}
for line in text.splitlines():
line = line.strip()
if not line or line.startswith("#") or "=" not in line:
continue
key, _, raw = line.partition("=")
key = key.strip()
if not key or key.startswith("#"):
continue
value = raw.strip().strip('"').strip("'")
values[key] = value
alias = LEGACY_ALIASES.get(key)
if alias:
values.setdefault(alias, value)
return values
def load_env_file(path: Path | str | None = None) -> dict[str, str]:
"""Load ``PHOTO_PIPELINE_ENV_FILE`` (or ``./.env``) into the environment.
Anything already exported wins: a file is the standing configuration, the shell
is what you meant *this time*. Returns what it applied, which is what the CLI
prints — names only, never values.
"""
candidate = path or os.environ.get(ENV_FILE_VAR) or DEFAULT_ENV_FILE
candidate = Path(candidate)
if not candidate.is_file():
return {}
applied = {}
for key, value in parse_env_file(candidate.read_text()).items():
if key not in os.environ:
os.environ[key] = value
applied[key] = value
return applied
class Config(BaseModel):
@@ -97,12 +42,6 @@ class Config(BaseModel):
# Free space an archive destination must keep beyond the transfer itself.
archive_free_space_reserve_bytes: int = 1_000_000_000
# Refuse every mutating request until a read-only dry run of the configured
# library has been produced and explicitly approved (US07-07). Off by default so
# a development setup is unchanged; turn it on before pointing the application at
# a library whose photos cannot be replaced.
require_dry_run_approval: bool = False
vision_api_key: SecretStr | None = None
immich_api_key: SecretStr | None = None
immich_server_url: str = ""
@@ -123,9 +62,6 @@ class Config(BaseModel):
@classmethod
def from_env(cls, environ: Mapping[str, str] | None = None) -> "Config":
env = os.environ if environ is None else environ
if environ is None:
load_env_file() # a file never overrides what the shell already set
env = os.environ
data: dict = {}
for name in cls.model_fields:
raw = env.get(ENV_PREFIX + name.upper())

View File

@@ -41,41 +41,12 @@ def create_session_factory(engine: Engine) -> sessionmaker:
return sessionmaker(bind=engine, expire_on_commit=False, future=True)
def _alembic_config(url: str):
def run_migrations(url: str) -> None:
"""Upgrade the database at ``url`` to the latest revision."""
from alembic import command
from alembic.config import Config as AlembicConfig
cfg = AlembicConfig(str(_REPO_ROOT / "alembic.ini"))
cfg.set_main_option("script_location", str(_REPO_ROOT / "migrations"))
cfg.set_main_option("sqlalchemy.url", url)
return cfg
def run_migrations(url: str) -> None:
"""Upgrade the database at ``url`` to the latest revision."""
from alembic import command
command.upgrade(_alembic_config(url), "head")
def head_revision() -> str | None:
"""The revision this code expects. ``None`` if the scripts cannot be read."""
from alembic.script import ScriptDirectory
try:
return ScriptDirectory.from_config(_alembic_config("sqlite://")).get_current_head()
except Exception:
return None
def current_revision(url: str) -> str | None:
"""The revision a database is actually at, or ``None`` for an unstamped one."""
engine = create_db_engine(url)
try:
with engine.connect() as connection:
from alembic.runtime.migration import MigrationContext
return MigrationContext.configure(connection).get_current_revision()
except Exception:
return None
finally:
engine.dispose()
command.upgrade(cfg, "head")

View File

@@ -18,6 +18,7 @@ from __future__ import annotations
import json
import os
import uuid
from datetime import datetime, timezone
from typing import Protocol
@@ -25,9 +26,9 @@ from sqlalchemy import func, select
from sqlalchemy.orm import sessionmaker
from photo_pipeline import path_policy
from photo_pipeline.models import AnalysisResult, Asset
from photo_pipeline.models import AnalysisResult, Asset, SafetyReview
from photo_pipeline.services import exif_checkpoint
from photo_pipeline.services.safety import SFW, latest_reviews
from photo_pipeline.services.safety import SFW
MODEL = "gemini-2.5-flash"
PROMPT_VERSION = "1"
@@ -71,26 +72,11 @@ class AnalysisService:
def _sfw_asset_ids(self, session) -> set[str]:
"""Asset ids whose latest safety decision is ``sfw`` — the ONLY assets that
may reach the provider.
The "latest row wins" rule is applied in SQL (US07-06); loading every review
to fold it in Python made the gate cost grow with the review history rather
than with the work being gated.
"""
latest = latest_reviews().subquery()
return set(
session.scalars(select(latest.c.asset_id).where(latest.c.decision == SFW))
)
def _sfw_count(self, session) -> int:
"""How many assets the gate currently allows, without listing them."""
latest = latest_reviews().subquery()
return int(
session.scalar(
select(func.count()).select_from(latest).where(latest.c.decision == SFW)
)
or 0
)
may reach the provider."""
latest: dict[str, str | None] = {}
for review in session.scalars(select(SafetyReview).order_by(SafetyReview.created_at)):
latest[review.asset_id] = review.decision
return {aid for aid, decision in latest.items() if decision == SFW}
def _is_still_sfw(self, asset_id: str) -> bool:
"""Re-read the current safety decision straight from the database."""
@@ -118,12 +104,9 @@ class AnalysisService:
)
return [a.id for a in assets if a.id not in done]
def counts(self, *, eligible: int | None = None) -> dict[str, int]:
"""Analysis progress. ``eligible`` may be passed by a caller that has just
counted confirmed-SFW assets, so the workflow home does not resolve the
latest decision of every asset twice on one page load (US07-06)."""
def counts(self) -> dict[str, int]:
with self._session_factory() as session:
eligible = self._sfw_count(session) if eligible is None else eligible
sfw = self._sfw_asset_ids(session)
rows = dict(
session.execute(
select(AnalysisResult.status, func.count()).group_by(AnalysisResult.status)
@@ -132,10 +115,10 @@ class AnalysisService:
analyzed = int(rows.get("analyzed", 0))
errored = int(rows.get("error", 0))
return {
"eligible": eligible,
"eligible": len(sfw),
"analyzed": analyzed,
"error": errored,
"pending": max(eligible - analyzed - errored, 0),
"pending": max(len(sfw) - analyzed - errored, 0),
}
def run(self, asset_ids: list[str] | None = None) -> dict:
@@ -264,11 +247,8 @@ class AnalysisService:
asset = session.get(Asset, asset_id)
if asset is not None and checkpoint.sha256:
# The bytes changed when the container was rewritten; upload must use
# the hash of what is actually on disk now (concept §3), and the
# recorded size has to move with it (US07-07).
# the hash of what is actually on disk now (concept §3).
asset.current_sha256 = checkpoint.sha256
if checkpoint.byte_size is not None:
asset.byte_size = checkpoint.byte_size
session.commit()
def get(self, asset_id: str) -> dict | None:

View File

@@ -1,221 +0,0 @@
"""Library-level process lock, and detection of an incompatible legacy run
(US07-05, concept §15 "migration and operational risks").
Every safety this application has — durable job leases, rename journals, archive
manifests — assumes that one installation owns the library. Two workers, or the
frozen CLI running beside the app, break that assumption *below* the level those
mechanisms can see: the second process simply does not know the first one's
database exists.
So mutation requires a file lock in the data directory, shaped as JSON so any
future or migrated entry point can read and honour it without importing this
package:
{"lock_version": 1, "role": "worker", "pid": 4242, "host": "...",
"started_at": "...", "library_roots": ["..."]}
One holder per role: an API and a worker are designed to run together, a second
worker is not. A lock whose process is gone is stale and is taken over with the
takeover recorded — refusing to start because of a crashed predecessor would turn
one outage into two.
Legacy detection is deliberately a heuristic, not a promise: the archived CLI has
no lock of its own, so what can be observed is its state files being written right
now. Recent writes to them mean something else is mutating this library, and every
mutating stage should refuse until it stops.
"""
from __future__ import annotations
import json
import os
import socket
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path
from photo_pipeline.config import Config
LOCK_VERSION = 1
LOCK_SUFFIX = ".lock.json"
# State files only the archived CLIs write. Their presence is history; a *recent*
# modification is a running process.
# ponytail: the real fix is a lock the migrated CLI paths take too — this catches
# the frozen archive, which has no lock and cannot be changed (US07-01).
LEGACY_ARTIFACTS = (
"photo_analyzer.db",
"nsfw_scores.csv",
"photo_analyzer_history.jsonl",
"photo_analyzer.log",
"photo_analyzer_debug.log",
)
LEGACY_ACTIVE_SECONDS = 300
class LockHeld(RuntimeError):
"""Another live process of the same role owns this library."""
def __init__(self, holder: "Holder") -> None:
super().__init__(
f"{holder.role} is already running for this library "
f"(pid {holder.pid} on {holder.host}, since {holder.started_at})"
)
self.holder = holder
class LegacyProcessActive(RuntimeError):
"""A legacy CLI appears to be mutating the same library right now."""
@dataclass(frozen=True)
class Holder:
role: str
pid: int
host: str
started_at: str
lock_version: int = LOCK_VERSION
library_roots: tuple[str, ...] = ()
@property
def alive(self) -> bool:
"""Whether the recorded process still exists on this host.
A lock from another host cannot be probed, so it is believed: assuming a
remote holder is dead is how two machines end up renaming the same folder.
"""
if self.host != socket.gethostname():
return True
try:
os.kill(self.pid, 0)
except ProcessLookupError:
return False
except PermissionError:
return True # exists, owned by someone else
return True
def as_dict(self) -> dict:
return {
"lock_version": self.lock_version,
"role": self.role,
"pid": self.pid,
"host": self.host,
"started_at": self.started_at,
"library_roots": list(self.library_roots),
"alive": self.alive,
}
def _now() -> datetime:
return datetime.now(timezone.utc)
def legacy_activity(config: Config) -> dict:
"""Legacy state files written within the activity window, if any."""
seen: list[dict] = []
cutoff = _now().timestamp() - LEGACY_ACTIVE_SECONDS
roots = [Path(root) for root in config.library_roots] + [Path(config.data_dir)]
for root in roots:
for name in LEGACY_ARTIFACTS:
path = root / name
try:
modified = path.stat().st_mtime
except OSError:
continue
if modified >= cutoff:
seen.append(
{
"path": str(path),
"modified_at": datetime.fromtimestamp(modified, timezone.utc).isoformat(),
}
)
return {"active": bool(seen), "artifacts": seen, "window_seconds": LEGACY_ACTIVE_SECONDS}
class LibraryLock:
"""One holder per role for one library. Used as a context manager."""
def __init__(self, config: Config, role: str = "worker") -> None:
self._config = config
self.role = role
self.path = Path(config.data_dir) / f"{role}{LOCK_SUFFIX}"
self._acquired = False
# ── inspection ────────────────────────────────────────────────────────────
def holder(self) -> Holder | None:
try:
payload = json.loads(self.path.read_text())
except (OSError, ValueError):
return None
try:
return Holder(
role=payload["role"],
pid=int(payload["pid"]),
host=payload["host"],
started_at=payload["started_at"],
lock_version=int(payload.get("lock_version", LOCK_VERSION)),
library_roots=tuple(payload.get("library_roots", ())),
)
except (KeyError, TypeError, ValueError):
# An unreadable lock is not an absent lock: something wrote it.
return Holder(role=self.role, pid=-1, host="unknown", started_at="unknown")
# ── acquire / release ─────────────────────────────────────────────────────
def acquire(self, *, allow_legacy: bool = False) -> Holder:
"""Take the lock for this role, or explain who has it.
Raises ``LockHeld`` when a live process of the same role owns the library,
and ``LegacyProcessActive`` when the archived CLI looks like it is running
against it.
"""
if not allow_legacy:
legacy = legacy_activity(self._config)
if legacy["active"]:
raise LegacyProcessActive(
"a legacy CLI is writing this library "
f"({', '.join(item['path'] for item in legacy['artifacts'])}); "
"stop it before running the application"
)
current = self.holder()
if current is not None:
if current.alive:
raise LockHeld(current)
# Stale: its process is gone. Take over, and say so.
self.path.unlink(missing_ok=True)
mine = Holder(
role=self.role,
pid=os.getpid(),
host=socket.gethostname(),
started_at=_now().isoformat(),
library_roots=tuple(str(root) for root in self._config.library_roots),
)
self.path.parent.mkdir(parents=True, exist_ok=True)
payload = {k: v for k, v in mine.as_dict().items() if k != "alive"}
# Exclusive create, so two processes racing here cannot both believe they won.
try:
with open(self.path, "x", encoding="utf-8") as handle:
json.dump(payload, handle, indent=2)
except FileExistsError:
winner = self.holder()
raise LockHeld(winner or mine) from None
self._acquired = True
return mine
def release(self) -> None:
"""Give up a lock this process owns. Another holder's lock is left alone."""
if not self._acquired:
return
current = self.holder()
if current is not None and current.pid == os.getpid():
self.path.unlink(missing_ok=True)
self._acquired = False
def __enter__(self) -> "LibraryLock":
self.acquire()
return self
def __exit__(self, *_) -> None:
self.release()

View File

@@ -1,413 +0,0 @@
"""Online backups, verification, retention, and restore drills (US07-05).
A backup taken by copying a live SQLite file is not a backup: with WAL enabled the
file on disk is missing every committed page still in the write-ahead log, and a
writer mid-transaction makes the copy inconsistent. So every backup here goes
through SQLite's online backup API, which takes a consistent snapshot of a database
that is still being used (concept §3).
A backup directory holds exactly two things:
photo_pipeline.db the snapshot
manifest.json what it is, what it came from, and how to check it
The manifest is what makes the snapshot restorable by someone who was not there
when it was taken: the schema revision, the snapshot's SHA-256, the row counts it
should still have, the archive locations whose media the library depends on, and
which configuration values were set — **names and non-secret values only**. A
secret is recorded as "configured", never as its value, so a manifest can be
attached to a bug report.
Restore never writes into a live installation: it refuses a target that already
holds a database, because the one thing worse than a lost library is a half-merged
one. The drill is documented in README ("Backup and recovery").
"""
from __future__ import annotations
import hashlib
import json
import shutil
import sqlite3
from contextlib import closing
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path
from sqlalchemy import text
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory
SCHEMA_VERSION = 1
DB_NAME = "photo_pipeline.db"
MANIFEST_NAME = "manifest.json"
# How many backups the retention helper keeps by default. Small on purpose: a
# backup is a snapshot of state that is itself recoverable from the library, and
# the disk it lives on is the same one the low-disk warning watches.
DEFAULT_KEEP = 7
# Tables whose row counts are worth proving after a restore. Not the whole schema —
# these are the ones whose loss would be silent.
COUNTED_TABLES = (
"assets",
"asset_paths",
"safety_reviews",
"analysis_results",
"exif_projections",
"upload_batches",
"upload_items",
"archive_locations",
"archive_plans",
"archive_operations",
"rename_plans",
"rename_operations",
)
class BackupError(RuntimeError):
"""The backup could not be created, read, verified, or restored."""
@dataclass(frozen=True)
class VerifyResult:
ok: bool
issues: tuple[str, ...] = ()
revision: str | None = None
counts: dict | None = None
def as_dict(self) -> dict:
return {
"ok": self.ok,
"issues": list(self.issues),
"revision": self.revision,
"counts": self.counts,
}
def _now() -> datetime:
return datetime.now(timezone.utc)
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def _revision(database: Path) -> str | None:
with closing(sqlite3.connect(database)) as connection:
try:
row = connection.execute("SELECT version_num FROM alembic_version").fetchone()
except sqlite3.Error:
return None
return row[0] if row else None
def _counts(database: Path) -> dict:
counts: dict[str, int] = {}
with closing(sqlite3.connect(database)) as connection:
for table in COUNTED_TABLES:
try:
counts[table] = connection.execute(f"SELECT count(*) FROM {table}").fetchone()[0]
except sqlite3.Error:
continue # a table this revision does not have yet
return counts
def _integrity(database: Path) -> tuple[str, list[str]]:
"""``PRAGMA integrity_check`` plus ``foreign_key_check`` — structure and links.
Structural soundness is not referential soundness: a database can pass
``integrity_check`` and still hold an upload item pointing at an asset that
is gone.
"""
issues: list[str] = []
with closing(sqlite3.connect(database)) as connection:
try:
result = connection.execute("PRAGMA integrity_check").fetchone()[0]
if result != "ok":
issues.append(f"integrity_check: {result}")
violations = connection.execute("PRAGMA foreign_key_check").fetchall()
if violations:
issues.append(f"foreign_key_check: {len(violations)} violation(s)")
except sqlite3.DatabaseError as error:
issues.append(f"unreadable: {error}")
return "error", issues
return "ok" if not issues else "damaged", issues
def configuration_references(config: Config) -> dict:
"""Which configuration a restore has to reproduce — never the secrets themselves.
Paths and URLs are recorded because a restore into a fresh root has to be told
where the library and the Immich server were; API keys are recorded as
``configured`` so an operator knows one is required without the manifest ever
carrying it.
"""
return {
"data_dir": str(config.data_dir),
"database_path": str(config.database_path),
"library_roots": [str(root) for root in config.library_roots],
"thumbnail_cache_dir": str(config.thumbnail_cache_dir),
"immich_server_url": config.immich_server_url,
"immich_go_binary": config.immich_go_binary,
"secrets": {
"immich_api_key": "configured" if config.immich_api_key else "unset",
"vision_api_key": "configured" if config.vision_api_key else "unset",
},
}
def migrate_with_backup(config: Config) -> dict | None:
"""Upgrade the schema, with a snapshot first when there is state to lose.
A migration is the one routine operation that can damage every record at once,
and Alembic's own transaction does not cover SQLite DDL reliably. So a pending
upgrade is preceded by an online backup, and a failed upgrade names it in the
error: recovery is "restore that directory", not "reconstruct the library".
Returns the manifest of the backup it took, or ``None`` when none was needed.
"""
import logging
from photo_pipeline.db import run_migrations
service = BackupService(config)
manifest = service.pre_migration() if service.migration_pending() else None
try:
run_migrations(config.database_url)
except Exception:
if manifest is not None:
logging.getLogger(__name__).error(
"migration failed; restore the pre-migration backup at %s",
service.root / manifest["name"],
)
raise
return manifest
class BackupService:
def __init__(self, config: Config) -> None:
self._config = config
@property
def root(self) -> Path:
return self._config.data_dir / "backups"
# ── create ────────────────────────────────────────────────────────────────
def create(self, *, reason: str = "manual", keep: int | None = DEFAULT_KEEP) -> dict:
"""Take an online snapshot and describe it. Returns the manifest."""
source = self._config.database_path
if not source.exists():
raise BackupError(f"no database at {source}")
stamp = _now().strftime("%Y%m%dT%H%M%SZ")
safe_reason = "".join(c for c in reason if c.isalnum() or c in "-_") or "manual"
directory = self.root / f"{stamp}-{safe_reason}"
if directory.exists(): # same second, same reason
directory = self.root / f"{stamp}-{safe_reason}-{len(list(self.root.iterdir()))}"
directory.mkdir(parents=True)
target = directory / DB_NAME
try:
with closing(sqlite3.connect(source)) as src, closing(sqlite3.connect(target)) as dst:
src.backup(dst) # the online backup API, not a file copy
except (sqlite3.Error, OSError) as error:
shutil.rmtree(directory, ignore_errors=True)
raise BackupError(f"backup failed: {error}") from error
state, issues = _integrity(target)
manifest = {
"schema_version": SCHEMA_VERSION,
"name": directory.name,
"created_at": _now().isoformat(),
"reason": reason,
"revision": _revision(target),
"database": {
"name": DB_NAME,
"bytes": target.stat().st_size,
"sha256": sha256_file(target),
"integrity": state,
"issues": issues,
},
"counts": _counts(target),
"archive_locations": self._archive_locations(),
"configuration": configuration_references(self._config),
"retention": {
"keep": keep,
"guidance": (
"Keep the newest snapshot on a different disk than data_dir, and one "
"off-site copy per archive medium. A backup only covers the database: "
"the photos themselves live in the library and archive locations named "
"above, which need their own copies."
),
},
}
(directory / MANIFEST_NAME).write_text(json.dumps(manifest, indent=2))
if keep is not None:
manifest["pruned"] = self.prune(keep=keep)
return manifest
def migration_pending(self) -> bool:
"""True when the database exists and is not at the revision this code wants."""
from photo_pipeline.db import current_revision, head_revision
if not self._config.database_path.exists():
return False
return current_revision(self._config.database_url) != head_revision()
def pre_migration(self) -> dict | None:
"""Snapshot before a schema change, when there is something to lose.
Returns ``None`` when the database does not exist yet (a fresh install has
no state a failed migration could damage).
"""
if not self._config.database_path.exists():
return None
return self.create(reason="pre-migration")
def _archive_locations(self) -> list[dict]:
"""The media the library's archived originals live on.
A restored database still points at these; if they are not restored too,
the pictures are gone even though every record survived.
"""
engine = create_db_engine(self._config.database_url)
try:
factory = create_session_factory(engine)
with factory() as session:
rows = session.execute(
text("SELECT id, name, root, media_id, state FROM archive_locations")
).mappings().all()
except Exception:
return []
finally:
engine.dispose()
return [
{
"id": row["id"],
"name": row["name"],
"root": row["root"],
"media_id": row["media_id"],
"last_state": row["state"],
"mounted": Path(row["root"]).is_dir(),
}
for row in rows
]
# ── inspect ───────────────────────────────────────────────────────────────
def list(self) -> list[dict]:
"""Every backup, newest first, with what is known about it."""
if not self.root.is_dir():
return []
entries = []
for directory in sorted(self.root.iterdir(), reverse=True):
if not directory.is_dir():
continue
manifest = self.manifest(directory)
database = directory / DB_NAME
entries.append(
{
"name": directory.name,
"path": str(directory),
"created_at": (manifest or {}).get("created_at"),
"reason": (manifest or {}).get("reason"),
"revision": (manifest or {}).get("revision"),
"bytes": database.stat().st_size if database.exists() else 0,
"complete": bool(manifest) and database.exists(),
}
)
return entries
def manifest(self, directory: Path) -> dict | None:
path = Path(directory) / MANIFEST_NAME
if not path.exists():
return None
try:
return json.loads(path.read_text())
except ValueError:
return None
def verify(self, directory: Path | str) -> VerifyResult:
"""Prove a snapshot is still the one that was taken and still readable."""
directory = Path(directory)
if not directory.is_dir():
return VerifyResult(False, (f"no backup at {directory}",))
manifest = self.manifest(directory)
if manifest is None:
return VerifyResult(False, ("manifest is missing or unreadable",))
database = directory / manifest["database"]["name"]
if not database.exists():
return VerifyResult(False, ("the snapshot file is missing",), manifest.get("revision"))
issues: list[str] = []
if sha256_file(database) != manifest["database"]["sha256"]:
# Bit rot, a truncated copy, or an edited snapshot: all three mean the
# bytes are not the ones that were verified when the backup was made.
issues.append("sha256 does not match the manifest")
state, structural = _integrity(database)
issues.extend(structural)
counts = _counts(database) if state != "error" else None
if counts is not None and manifest.get("counts") and counts != manifest["counts"]:
issues.append(f"row counts changed: {manifest['counts']} -> {counts}")
return VerifyResult(not issues, tuple(issues), manifest.get("revision"), counts)
# ── retention ─────────────────────────────────────────────────────────────
def prune(self, *, keep: int = DEFAULT_KEEP) -> list[str]:
"""Delete the oldest backups beyond ``keep``. Never deletes the newest one."""
if keep < 1:
raise BackupError("retention must keep at least one backup")
removed = []
for entry in self.list()[keep:]:
shutil.rmtree(entry["path"], ignore_errors=True)
removed.append(entry["name"])
return removed
# ── restore ───────────────────────────────────────────────────────────────
def restore(self, directory: Path | str, target_data_dir: Path | str) -> dict:
"""Restore a verified snapshot into a **fresh** data directory.
Refuses a target that already holds a database. Restoring on top of a live
installation would merge two histories that disagree about which files were
renamed, uploaded, and archived — the one failure this whole story exists to
prevent. Recovering in place is: stop everything, move the old data
directory aside, restore into a new one.
"""
directory = Path(directory)
result = self.verify(directory)
if not result.ok:
raise BackupError(f"refusing to restore an unverified backup: {result.issues}")
target = Path(target_data_dir)
target.mkdir(parents=True, exist_ok=True)
destination = target / DB_NAME
if destination.exists():
raise BackupError(
f"{destination} already exists; restore into a fresh data directory"
)
shutil.copy2(directory / DB_NAME, destination)
# The write-ahead log of the *source* installation must not travel with a
# snapshot: the backup API already folded every committed page into it.
for leftover in (target / f"{DB_NAME}-wal", target / f"{DB_NAME}-shm"):
leftover.unlink(missing_ok=True)
restored = _integrity(destination)
return {
"backup": directory.name,
"restored_to": str(destination),
"revision": result.revision,
"counts": _counts(destination),
"integrity": restored[0],
"issues": restored[1],
"next_steps": [
"point PHOTO_PIPELINE_DATA_DIR at the restored directory",
"run `python -m photo_pipeline migrate` to reach the current revision",
"run an inventory scan so paths are reconciled against the real library",
"mount every archive location listed in the manifest before archiving again",
],
}

View File

@@ -1,502 +0,0 @@
"""Load, soak, and resource-budget harness (US07-06, concept §17 and §18).
Performance here is not "it felt fast on my library". It is a set of agreed budgets,
measured the same way every time against synthetic databases of a stated size, and a
breach fails the run. The numbers come out as JSON so a scheduled run can keep a
series rather than a screenshot.
python -m photo_pipeline benchmark --profile smoke # seconds; runs in CI
python -m photo_pipeline benchmark --profile short # 25k assets
python -m photo_pipeline benchmark --profile full # 25k + 100k
python -m photo_pipeline benchmark --profile huge --soak-seconds 3600
What is measured is the service layer plus SQLite — the same queries the API routes
call — because that is where the time and the memory of a large library actually go.
The route/HTTP overhead is asserted separately, over a real client, in
tests/integration/test_performance_budgets.py.
An exceeded budget is a failure, not a note, unless it is listed in
``APPROVED_EXCEPTIONS`` with who approved it and why. That list is deliberately
empty: an exception has to be added, reviewed, and merged like any other change.
"""
from __future__ import annotations
import gc
import json
import os
import resource
import statistics
import sqlite3
import time
import uuid
from dataclasses import dataclass, field
from datetime import datetime, timedelta, timezone
from pathlib import Path
from sqlalchemy import func, insert, select
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
from photo_pipeline.models import (
AnalysisResult,
Asset,
DuplicateCluster,
DuplicateMember,
Job,
JobEvent,
SafetyReview,
)
from photo_pipeline.services.duplicates import DuplicateService
from photo_pipeline.services.inventory import InventoryService
from photo_pipeline.services.jobs import ACTIVE_STATES, JobService
from photo_pipeline.services.library import LibraryService
from photo_pipeline.services.workflow import WorkflowService
SCHEMA_VERSION = 1
# ── profiles ─────────────────────────────────────────────────────────────────
PROFILES: dict[str, dict] = {
# Small enough to run on every change, large enough that an O(n) mistake in a
# list query still shows up.
"smoke": {"sizes": [2_000], "cluster_members": 500, "iterations": 20},
"short": {"sizes": [25_000], "cluster_members": 2_000, "iterations": 30},
"full": {"sizes": [25_000, 100_000], "cluster_members": 5_000, "iterations": 30},
# Scheduled infrastructure only: half a million assets takes minutes to build.
"huge": {"sizes": [500_000], "cluster_members": 5_000, "iterations": 20},
}
# ── budgets ──────────────────────────────────────────────────────────────────
@dataclass(frozen=True)
class Budget:
metric: str
limit: float
unit: str
why: str
BUDGETS: tuple[Budget, ...] = (
Budget("latency_p95_ms", 250, "ms", "a list or search page must feel immediate"),
Budget("latency_max_ms", 2_000, "ms", "no single page may stall the review flow"),
Budget("rss_growth_bytes", 400_000_000, "bytes", "a run must not leak the library"),
Budget("open_files", 256, "count", "file descriptors are a hard operating-system limit"),
Budget("wal_bytes", 200_000_000, "bytes", "a growing WAL means checkpoints are starving"),
Budget("queue_depth", 1_000, "count", "an unbounded queue is an out-of-memory in waiting"),
Budget("cache_over_quota_bytes", 0, "bytes", "the thumbnail cache has to respect its quota"),
)
# Measured, documented, approved. An entry is ``("<profile>", "<scenario>",
# "<metric>"): {"limit": …, "approved_by": …, "reason": …, "review_by":
# "YYYY-MM-DD"}``; the report always lists which exceptions it applied, so a release
# review sees them.
#
# The two below are the half-million-asset scale point. The concept sets the 250 ms
# budget at 100k rows, which both pages meet (235 ms and 197 ms). At 500k the two
# library-wide aggregates — every asset's current safety decision, and every
# analysis row's album/tag/year breakdown — are inherently linear, and SQLite has
# one writer and no parallel scan. Fixing them properly means either denormalized
# totals (derived state the concept deliberately keeps out of the schema) or the
# planned PostgreSQL transition, not a query tweak. Everything else at 500k is
# inside budget, and the soak at that size grows neither memory nor queue.
APPROVED_EXCEPTIONS: dict[tuple[str, str, str], dict] = {
("huge", "library_stats", "latency_p95_ms"): {
"limit": 1_500,
"approved_by": "domverse",
"reason": "measured 1.08 s at 500k; the 250 ms budget is set at 100k rows (concept §18)",
"review_by": "2027-02-17",
},
("huge", "library_stats", "latency_max_ms"): {
"limit": 4_000,
"approved_by": "domverse",
"reason": "measured 3.2 s worst case at 500k, on a cold page cache",
"review_by": "2027-02-17",
},
("huge", "workflow_readiness", "latency_p95_ms"): {
"limit": 1_800,
"approved_by": "domverse",
"reason": "measured 1.40 s at 500k; resolving the current decision of every asset",
"review_by": "2027-02-17",
},
("huge", "workflow_readiness", "latency_max_ms"): {
"limit": 4_000,
"approved_by": "domverse",
"reason": "measured 3.3 s worst case at 500k, on a cold page cache",
"review_by": "2027-02-17",
},
}
def _now() -> datetime:
return datetime.now(timezone.utc)
# ── resource sampling ────────────────────────────────────────────────────────
def rss_bytes() -> int:
"""Resident set size of this process, without a psutil dependency."""
usage = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
# Linux reports kilobytes, BSD/macOS bytes.
return usage if usage > 1 << 32 or os.uname().sysname == "Darwin" else usage * 1024
def open_files() -> int:
"""Open descriptors, counted from the kernel's own view where it exposes one."""
for directory in ("/proc/self/fd", "/dev/fd"):
try:
return len(os.listdir(directory))
except OSError:
continue
return -1
def _file_bytes(path: Path) -> int:
try:
return path.stat().st_size
except OSError:
return 0
def _tree_bytes(path: Path) -> int:
if not path.is_dir():
return 0
return sum(p.stat().st_size for p in path.rglob("*") if p.is_file())
def sample_resources(config: Config, session_factory) -> dict:
"""One snapshot of everything a budget is written against."""
database = config.database_path
with session_factory() as session:
queue_depth = int(
session.scalar(select(func.count()).select_from(Job).where(Job.state.in_(ACTIVE_STATES)))
or 0
)
events = int(session.scalar(select(func.count()).select_from(JobEvent)) or 0)
cache_bytes = _tree_bytes(config.thumbnail_cache_dir)
return {
"at": _now().isoformat(),
"rss_bytes": rss_bytes(),
"open_files": open_files(),
"db_bytes": _file_bytes(database),
"wal_bytes": _file_bytes(Path(f"{database}-wal")),
"cache_bytes": cache_bytes,
"cache_over_quota_bytes": max(0, cache_bytes - config.thumbnail_cache_quota_bytes),
"queue_depth": queue_depth,
"event_rows": events,
}
# ── synthetic library ────────────────────────────────────────────────────────
def synthesize(config: Config, *, assets: int, cluster_members: int, batch: int = 5_000) -> dict:
"""Build a database of ``assets`` rows and one cluster of ``cluster_members``.
Rows only — no image files. What is being measured is the cost of reading a
large library's *records*: decoding is bounded separately (US07-03) and is
per-file, not per-library.
"""
config.database_path.parent.mkdir(parents=True, exist_ok=True)
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
started = time.monotonic()
root = config.library_roots[0] if config.library_roots else Path("/library")
now = _now()
asset_ids: list[str] = []
try:
with factory() as session:
existing = int(session.scalar(select(func.count()).select_from(Asset)) or 0)
for start in range(existing, assets, batch):
rows = []
reviews = []
analyses = []
for index in range(start, min(start + batch, assets)):
asset_id = f"asset-{index:08d}"
asset_ids.append(asset_id)
album = index % 500
path = str(root / f"album-{album:04d}" / f"photo-{index:08d}.jpg")
rows.append(
{
"id": asset_id,
"original_path": path,
"current_path": path,
"discovered_at": now - timedelta(seconds=index % 86_400),
"hash_version": 1,
"byte_size": 2_000_000 + index,
"current_sha256": f"{index:064x}",
"pixel_sha256": f"{index:064x}",
"phash": f"{index % (1 << 60):016x}",
"availability_state": "active",
}
)
reviews.append(
{
"id": str(uuid.uuid4()),
"asset_id": asset_id,
"decision": "sfw" if index % 10 else "nsfw",
"created_at": now,
}
)
if index % 2 == 0: # half the library analysed, as in a real run
analyses.append(
{
"asset_id": asset_id,
"status": "analyzed",
"description": f"a synthetic scene number {index}",
"tags": '["synthetic", "bench"]',
"setting": "outdoor" if index % 3 else "indoor",
"analyzed_at": now,
}
)
with factory() as session:
session.execute(insert(Asset), rows)
session.execute(insert(SafetyReview), reviews)
if analyses:
session.execute(insert(AnalysisResult), analyses)
session.commit()
if cluster_members:
with factory() as session:
cluster_id = str(uuid.uuid4())
session.add(
DuplicateCluster(
id=cluster_id,
method="perceptual",
confidence="near",
state="open",
version=1,
)
)
session.flush()
members = [
{
"cluster_id": cluster_id,
"asset_id": f"asset-{index:08d}",
"role": "member",
"distance": index % 6,
}
for index in range(min(cluster_members, assets))
]
session.execute(insert(DuplicateMember), members)
session.commit()
# A checkpoint here means the measurements start from a settled database
# rather than from a write-ahead log the size of the whole build.
with sqlite3.connect(config.database_path) as connection:
connection.execute("PRAGMA wal_checkpoint(TRUNCATE)")
finally:
engine.dispose()
return {"assets": assets, "cluster_members": cluster_members, "seconds": time.monotonic() - started}
# ── scenarios ────────────────────────────────────────────────────────────────
@dataclass
class Scenario:
name: str
call: object
iterations: int
samples: list[float] = field(default_factory=list)
def run(self) -> dict:
for _ in range(self.iterations):
started = time.perf_counter()
self.call()
self.samples.append((time.perf_counter() - started) * 1000)
ordered = sorted(self.samples)
index = max(0, int(round(0.95 * len(ordered))) - 1)
return {
"scenario": self.name,
"iterations": self.iterations,
"latency_p50_ms": round(statistics.median(ordered), 3),
"latency_p95_ms": round(ordered[index], 3),
"latency_max_ms": round(ordered[-1], 3),
}
def scenarios(config: Config, session_factory, *, iterations: int) -> list[Scenario]:
inventory = InventoryService(session_factory)
library = LibraryService(session_factory)
duplicates = DuplicateService(session_factory)
workflow = WorkflowService(session_factory)
with session_factory() as session:
cluster_id = session.scalar(select(DuplicateCluster.id))
built = [
Scenario("inventory_page", lambda: inventory.list_assets(limit=50, offset=1_000), iterations),
Scenario("library_search", lambda: library.search(q="synthetic", limit=60), iterations),
Scenario("library_stats", lambda: library.stats(), iterations),
Scenario("workflow_readiness", lambda: workflow.readiness(), iterations),
Scenario(
"duplicate_cluster_list",
lambda: duplicates.list_clusters(limit=50, offset=0),
iterations,
),
]
if cluster_id:
built.append(
Scenario(
"duplicate_cluster_page",
lambda: duplicates.get_cluster(cluster_id, limit=100, offset=0),
iterations,
)
)
return built
# ── budget evaluation ────────────────────────────────────────────────────────
def evaluate(profile: str, measurements: list[dict]) -> tuple[list[dict], list[dict]]:
"""Compare measurements with the budgets. Returns ``(breaches, exceptions_used)``."""
breaches: list[dict] = []
used: list[dict] = []
for measurement in measurements:
scope = measurement.get("scenario", "resources")
for budget in BUDGETS:
if budget.metric not in measurement:
continue
value = measurement[budget.metric]
if value is None or value < 0:
continue
limit = budget.limit
exception = APPROVED_EXCEPTIONS.get((profile, scope, budget.metric))
if exception:
limit = exception["limit"]
used.append({"scope": scope, "metric": budget.metric, **exception})
if value > limit:
breaches.append(
{
"scope": scope,
"metric": budget.metric,
"value": value,
"limit": limit,
"unit": budget.unit,
"why": budget.why,
}
)
return breaches, used
# ── soak ─────────────────────────────────────────────────────────────────────
def soak(config: Config, session_factory, *, seconds: float, interval: float = 1.0) -> dict:
"""Browse, queue, cancel, and retry for a while; watch what grows.
The question a soak answers is not "is it fast" but "does anything only ever go
up" — resident memory, the queue, the write-ahead log, open descriptors.
"""
library = LibraryService(session_factory)
inventory = InventoryService(session_factory)
jobs = JobService(session_factory)
samples = [sample_resources(config, session_factory)]
deadline = time.monotonic() + seconds
last_sample = time.monotonic()
cycles = 0
while time.monotonic() < deadline:
offset = (cycles * 50) % 1_000
library.search(q="synthetic", limit=60, offset=offset)
inventory.list_assets(limit=50, offset=offset)
job = jobs.enqueue("scan", items=[f"soak-{cycles}"])
jobs.cancel(job["id"]) # queued work cancels outright: the lane stays free
cycles += 1
if time.monotonic() - last_sample >= interval:
gc.collect() # so a growth reading is real, not just uncollected garbage
samples.append(sample_resources(config, session_factory))
last_sample = time.monotonic()
samples.append(sample_resources(config, session_factory))
third = max(1, len(samples) // 3)
early = statistics.mean(sample["rss_bytes"] for sample in samples[:third])
late = statistics.mean(sample["rss_bytes"] for sample in samples[-third:])
return {
"scenario": "soak",
"seconds": seconds,
"cycles": cycles,
"samples": samples,
"rss_growth_bytes": max(0, int(late - early)),
"queue_depth": max(sample["queue_depth"] for sample in samples),
"wal_bytes": max(sample["wal_bytes"] for sample in samples),
"open_files": max(sample["open_files"] for sample in samples),
"cache_over_quota_bytes": max(sample["cache_over_quota_bytes"] for sample in samples),
}
# ── the run ──────────────────────────────────────────────────────────────────
def run(
config: Config,
*,
profile: str = "smoke",
soak_seconds: float = 0.0,
output: Path | str | None = None,
) -> dict:
"""Build, measure, evaluate. Returns the report; the caller decides the exit code."""
if profile not in PROFILES:
raise ValueError(f"unknown profile {profile!r}; try one of {sorted(PROFILES)}")
settings = PROFILES[profile]
report = {
"schema_version": SCHEMA_VERSION,
"profile": profile,
"started_at": _now().isoformat(),
"budgets": [
{"metric": b.metric, "limit": b.limit, "unit": b.unit, "why": b.why} for b in BUDGETS
],
"runs": [],
}
measurements: list[dict] = []
for size in settings["sizes"]:
sized = config.model_copy(update={"data_dir": Path(config.data_dir) / f"bench-{size}"})
before = None
build = synthesize(
sized, assets=size, cluster_members=settings["cluster_members"]
)
engine = create_db_engine(sized.database_url)
factory = create_session_factory(engine)
try:
before = sample_resources(sized, factory)
results = [
scenario.run()
for scenario in scenarios(sized, factory, iterations=settings["iterations"])
]
after = sample_resources(sized, factory)
after["scenario"] = "resources"
after["rss_growth_bytes"] = max(0, after["rss_bytes"] - before["rss_bytes"])
soaked = (
soak(sized, factory, seconds=soak_seconds) if soak_seconds > 0 else None
)
finally:
engine.dispose()
measurements.extend(results)
measurements.append(after)
if soaked:
measurements.append(soaked)
report["runs"].append(
{
"assets": size,
"build": build,
"before": before,
"scenarios": results,
"resources": after,
"soak": soaked,
}
)
breaches, exceptions_used = evaluate(profile, measurements)
report["breaches"] = breaches
report["exceptions_applied"] = exceptions_used
report["ok"] = not breaches
report["finished_at"] = _now().isoformat()
if output:
path = Path(output)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(report, indent=2))
return report

View File

@@ -1,157 +0,0 @@
"""Operational diagnostics: what the application is using, and what is about to
run out (US07-05, concept §17).
Every mutating stage in this application writes something before it is safe to
continue — a journal, an EXIF rewrite, an archive copy, a backup. All of them fail
badly on a full disk, so the sizes that grow (database, write-ahead log, thumbnail
cache, uploader reports, backups, logs) are reported separately rather than as one
opaque total, and each is compared against the free space actually left.
This is a read-only report. It never deletes, rotates, or prunes anything: what to
do about a warning is an operator's decision, and the tools for it are the
thumbnail cache quota, the backup retention helper, and log rotation outside the
application.
"""
from __future__ import annotations
import shutil
from pathlib import Path
from photo_pipeline.config import Config
from photo_pipeline.services import app_lock
# Below this much free space, mutating stages should stop rather than risk a
# half-written journal, EXIF container, or archive copy.
LOW_DISK_BYTES = 1_000_000_000
CRITICAL_DISK_BYTES = 200_000_000
def _tree_bytes(path: Path) -> int:
if not path.exists():
return 0
if path.is_file():
return path.stat().st_size
total = 0
for child in path.rglob("*"):
try:
if child.is_file() and not child.is_symlink():
total += child.stat().st_size
except OSError:
continue # vanished mid-walk; it is not using space any more
return total
def _component(name: str, path: Path, *, quota: int | None = None) -> dict:
used = _tree_bytes(path)
entry = {"name": name, "path": str(path), "bytes": used, "exists": path.exists()}
if quota is not None:
entry["quota_bytes"] = quota
entry["over_quota"] = used > quota
return entry
def disk(path: Path) -> dict:
"""Free/total for the filesystem holding ``path`` — the nearest existing parent,
so a data directory that does not exist yet still reports its future disk."""
probe = path
while not probe.exists() and probe != probe.parent:
probe = probe.parent
try:
usage = shutil.disk_usage(probe)
except OSError as error:
return {"path": str(probe), "error": str(error)}
return {
"path": str(probe),
"total_bytes": usage.total,
"free_bytes": usage.free,
"used_bytes": usage.used,
}
def report(config: Config) -> dict:
"""Sizes, disk headroom, warnings, and who currently holds the library lock."""
database = config.database_path
components = [
_component("database", database),
_component("write_ahead_log", Path(f"{database}-wal")),
_component("shared_memory", Path(f"{database}-shm")),
_component(
"thumbnail_cache",
config.thumbnail_cache_dir,
quota=config.thumbnail_cache_quota_bytes,
),
_component("upload_reports", config.data_dir / "uploads"),
_component("backups", config.data_dir / "backups"),
_component("logs", config.data_dir / "logs"),
]
space = disk(config.data_dir)
free = space.get("free_bytes")
warnings: list[dict] = []
if free is not None and free < CRITICAL_DISK_BYTES:
warnings.append(
{
"code": "disk_critical",
"message": (
f"only {free} bytes free on {space['path']}; stop mutating stages "
"and free space before renaming, writing EXIF, or archiving"
),
}
)
elif free is not None and free < LOW_DISK_BYTES:
warnings.append(
{
"code": "disk_low",
"message": f"{free} bytes free on {space['path']}; prune backups or the cache",
}
)
for component in components:
if component.get("over_quota"):
warnings.append(
{
"code": "cache_over_quota",
"message": (
f"{component['name']} uses {component['bytes']} bytes, over its "
f"{component['quota_bytes']} byte quota"
),
}
)
# A write-ahead log that outgrows its database means checkpoints are starving —
# an operational warning, not something to ignore (concept §16).
wal = next(c for c in components if c["name"] == "write_ahead_log")
db = next(c for c in components if c["name"] == "database")
if wal["bytes"] > max(db["bytes"], 1) :
warnings.append(
{
"code": "wal_growth",
"message": (
f"the write-ahead log ({wal['bytes']} bytes) is larger than the database "
f"({db['bytes']} bytes); a long-running read may be blocking checkpoints"
),
}
)
locks = {}
for role in ("api", "worker"):
holder = app_lock.LibraryLock(config, role).holder()
locks[role] = holder.as_dict() if holder else None
legacy = app_lock.legacy_activity(config)
if legacy["active"]:
warnings.append(
{
"code": "legacy_process_active",
"message": (
"a legacy CLI is writing this library; mutating stages are refused "
"until it stops"
),
}
)
return {
"components": components,
"total_bytes": sum(component["bytes"] for component in components),
"disk": space,
"warnings": warnings,
"locks": locks,
"legacy_activity": legacy,
}

View File

@@ -52,13 +52,6 @@ from photo_pipeline.services import availability, hashing
NEAR_MAX = 5
SIMILAR_MAX = 10
# Member paging (US07-06). A burst or a re-imported folder can put thousands of
# assets in one cluster; review looks at a few at a time, so neither the list view
# nor the detail view may load them all.
MEMBER_PAGE = 100
MAX_MEMBER_PAGE = 500
SNAPSHOT_MEMBER_PREVIEW = 20
class Method(str, Enum):
EXACT = "exact"
@@ -527,65 +520,39 @@ class DuplicateService:
items = [self._snapshot(session, c.id) for c in rows]
return {"items": items, "total": int(total or 0), "limit": limit, "offset": offset}
def get_cluster(
self, cluster_id: str, *, limit: int = MEMBER_PAGE, offset: int = 0
) -> dict | None:
"""Cluster detail enriched with per-member asset evidence for comparison.
Members are paged and their evidence is loaded in batches (US07-06). A
cluster of a few thousand near-identical frames is a real shape for a phone
library, and the review screen only ever shows a handful at a time: loading
every member — each with its own asset, thumbnail, and location query — made
opening such a cluster cost thousands of round trips and megabytes of JSON.
"""
limit = max(1, min(limit, MAX_MEMBER_PAGE))
offset = max(0, offset)
def get_cluster(self, cluster_id: str) -> dict | None:
"""Cluster detail enriched with per-member asset evidence for comparison."""
with self._session_factory() as session:
cluster = session.get(DuplicateCluster, cluster_id)
if cluster is None:
return None
member_total = int(
session.scalar(
select(func.count())
.select_from(DuplicateMember)
.where(DuplicateMember.cluster_id == cluster_id)
)
or 0
)
rows = list(
session.execute(
select(DuplicateMember)
.where(DuplicateMember.cluster_id == cluster_id)
.order_by(DuplicateMember.asset_id)
.limit(limit)
.offset(offset)
).scalars()
)
evidence = self._member_evidence(session, [row.asset_id for row in rows])
members = []
for member in rows:
for member in session.execute(
select(DuplicateMember).where(DuplicateMember.cluster_id == cluster_id)
).scalars():
asset = session.get(Asset, member.asset_id)
try:
member_evidence = json.loads(member.evidence) if member.evidence else {}
evidence = json.loads(member.evidence) if member.evidence else {}
except json.JSONDecodeError:
member_evidence = {}
asset, offline = evidence[member.asset_id]
evidence = {}
members.append(
{
"asset_id": member.asset_id,
"role": member.role,
"distance": member.distance,
"evidence": member_evidence,
"evidence": evidence,
"current_path": asset.current_path if asset else None,
"byte_size": asset.byte_size if asset else None,
"phash": asset.phash if asset else None,
**offline,
**self._offline_evidence(session, asset),
}
)
members.sort(key=lambda m: m["asset_id"])
# A full-resolution comparison of an offline original is impossible; the
# UI asks for that named medium instead of guessing (concept §9). The
# answer covers the whole cluster, not just this page, so a mount is not
# discovered halfway through a review.
mount_required = self._mount_required(session, cluster_id)
# UI asks for that named medium instead of guessing (concept §9).
mount_required = sorted(
{m["archive_location"] for m in members if m["requires_mount"]}
)
return {
"id": cluster.id,
"method": cluster.method,
@@ -597,74 +564,10 @@ class DuplicateService:
"requires_confirmation": cluster.method == Method.PERCEPTUAL.value,
"mount_required": mount_required,
"members": members,
"member_total": member_total,
"limit": limit,
"offset": offset,
}
def _member_evidence(self, session, asset_ids: list[str]) -> dict:
"""``{asset_id: (asset, offline_evidence)}`` for one page, in three queries."""
if not asset_ids:
return {}
assets = {
asset.id: asset
for asset in session.execute(
select(Asset).where(Asset.id.in_(asset_ids))
).scalars()
}
previews: dict[str, list] = {}
for thumbnail in session.execute(
select(Thumbnail).where(Thumbnail.asset_id.in_(asset_ids))
).scalars():
previews.setdefault(thumbnail.asset_id, []).append(thumbnail)
location_ids = {
asset.archive_location_id for asset in assets.values() if asset.archive_location_id
}
locations = (
{
location.id: location
for location in session.execute(
select(ArchiveLocation).where(ArchiveLocation.id.in_(location_ids))
).scalars()
}
if location_ids
else {}
)
return {
asset_id: (
assets.get(asset_id),
self._offline_evidence(
assets.get(asset_id),
locations=locations,
thumbnails=previews.get(asset_id, []),
),
)
for asset_id in asset_ids
}
def _mount_required(self, session, cluster_id: str) -> list[str]:
"""Archive media whose originals this cluster needs, across every member."""
rows = session.execute(
select(ArchiveLocation.name)
.select_from(DuplicateMember)
.join(Asset, Asset.id == DuplicateMember.asset_id)
.join(ArchiveLocation, ArchiveLocation.id == Asset.archive_location_id)
.where(
DuplicateMember.cluster_id == cluster_id,
Asset.availability_state == availability.ARCHIVED_OFFLINE,
)
.distinct()
).scalars()
return sorted(rows)
def _offline_evidence(
self, asset: Asset | None, *, locations: dict, thumbnails: list
) -> dict:
"""What review can still rely on when a member's original is not readable.
Takes the already-loaded locations and thumbnails for its page rather than
querying per member (US07-06).
"""
def _offline_evidence(self, session, asset: Asset | None) -> dict:
"""What review can still rely on when a member's original is not readable."""
if asset is None:
return {
"availability_state": None,
@@ -674,8 +577,12 @@ class DuplicateService:
"preview": {"state": "missing", "protected": False},
"requires_mount": False,
}
location = locations.get(asset.archive_location_id)
preview = self._preview_evidence(thumbnails)
location = (
session.get(ArchiveLocation, asset.archive_location_id)
if asset.archive_location_id
else None
)
preview = self._preview_evidence(session, asset.id)
archived = asset.availability_state in availability.ARCHIVED
return {
"availability_state": asset.availability_state,
@@ -691,7 +598,10 @@ class DuplicateService:
}
@staticmethod
def _preview_evidence(rows: list) -> dict:
def _preview_evidence(session, asset_id: str) -> dict:
rows = list(
session.execute(select(Thumbnail).where(Thumbnail.asset_id == asset_id)).scalars()
)
ready = [r for r in rows if r.state == "ready" and r.path]
if ready:
best = max(ready, key=lambda r: (bool(r.protected), r.size or 0))
@@ -783,29 +693,11 @@ class DuplicateService:
session.delete(link)
def _snapshot(self, session, cluster_id) -> dict:
"""A cluster and a *bounded* preview of its members.
The list view shows a count and a few ids; a snapshot that loaded every
member turned one page of 200 clusters into hundreds of thousands of rows
(US07-06). ``member_total`` is the honest count either way.
"""
cluster = session.get(DuplicateCluster, cluster_id)
member_total = int(
session.scalar(
select(func.count())
.select_from(DuplicateMember)
.where(DuplicateMember.cluster_id == cluster_id)
)
or 0
)
members = session.execute(
select(DuplicateMember)
.where(DuplicateMember.cluster_id == cluster_id)
.order_by(DuplicateMember.asset_id)
.limit(SNAPSHOT_MEMBER_PREVIEW)
select(DuplicateMember).where(DuplicateMember.cluster_id == cluster_id)
).scalars()
return {
"member_total": member_total,
"id": cluster.id,
"method": cluster.method,
"confidence": cluster.confidence,

View File

@@ -21,7 +21,6 @@ unreadable file, or a write that did not take is not evidence that metadata is f
from __future__ import annotations
import json
import os
import uuid
from dataclasses import dataclass
from datetime import datetime, timezone
@@ -59,11 +58,6 @@ class CheckpointResult:
state: str # verified | divergent | failed
changed_fields: tuple[str, ...] = ()
sha256: str | None = None
# exiftool rewrites the container, so the file's size moves with its hash. Both
# are inventory facts about the current bytes and both have to be refreshed
# together, or the next stage compares against a size that no longer exists
# (US07-07: a rename plan blocked itself forever after any EXIF write).
byte_size: int | None = None
verified_at: datetime | None = None
reason: str | None = None
@@ -143,12 +137,9 @@ def run(
changed = compare(before, after)
sha256 = hashing.sha256_file(path)
byte_size = os.path.getsize(path)
if changed:
return CheckpointResult(
DIVERGENT, changed_fields=changed, sha256=sha256, byte_size=byte_size
)
return CheckpointResult(VERIFIED, sha256=sha256, byte_size=byte_size, verified_at=_now())
return CheckpointResult(DIVERGENT, changed_fields=changed, sha256=sha256)
return CheckpointResult(VERIFIED, sha256=sha256, verified_at=_now())
def record(

View File

@@ -15,9 +15,10 @@ from __future__ import annotations
import json
import re
from collections import Counter
from pathlib import Path
from sqlalchemy import String, and_, case, cast, func, or_, select, text
from sqlalchemy import and_, func, or_, select
from sqlalchemy.orm import sessionmaker
from photo_pipeline.models import AnalysisResult, Asset
@@ -70,75 +71,38 @@ class LibraryService:
return {"rows": rows, "total": total, "offset": offset, "limit": limit}
def stats(self) -> dict:
"""Library-wide totals, aggregated in SQL (US07-06).
This page used to load every analysis row — object, tags, and all — to count
them in Python, which cost half a second at 100k assets and grew from there.
Only the album breakdown still walks rows, and only their path and status:
SQLite has no ``dirname``, and two short strings per asset is cheap.
"""
with self._session_factory() as session:
status = dict(
session.execute(
select(AnalysisResult.status, func.count()).group_by(AnalysisResult.status)
).all()
)
albums: dict[str, dict] = {}
for path, row_status in session.execute(
select(Asset.current_path, AnalysisResult.status).join(
Asset, Asset.id == AnalysisResult.asset_id
rows = list(
session.execute(
select(AnalysisResult, Asset.current_path).join(
Asset, Asset.id == AnalysisResult.asset_id
)
)
):
)
albums: dict[str, dict] = {}
tag_counts: Counter = Counter()
year_counts: Counter = Counter()
people: Counter = Counter()
errors = []
for result, path in rows:
album = _album_of(path)
bucket = albums.setdefault(album, {"album": album, "done": 0, "total": 0})
bucket["total"] += 1
if row_status in DONE:
if result.status in DONE:
bucket["done"] += 1
year_counts = dict(
session.execute(
select(AnalysisResult.approx_year, func.count())
.where(AnalysisResult.approx_year.is_not(None))
.group_by(AnalysisResult.approx_year)
).all()
)
people = dict(
session.execute(
select(
case(
(AnalysisResult.people_count >= 3, "3+"),
else_=cast(AnalysisResult.people_count, String),
),
func.count(),
)
.where(AnalysisResult.people_count.is_not(None))
.group_by(
case(
(AnalysisResult.people_count >= 3, "3+"),
else_=cast(AnalysisResult.people_count, String),
)
)
).all()
)
# SQLite's JSON1 counts the tag arrays where they are: parsing 50k JSON
# strings in Python to keep the top 40 is the definition of doing work
# the database already does. Malformed tags are skipped, not fatal.
tag_counts = session.execute(
text(
"SELECT tag.value AS value, count(*) AS total "
"FROM analysis_results, json_each(analysis_results.tags) AS tag "
"WHERE analysis_results.tags IS NOT NULL "
"AND json_valid(analysis_results.tags) "
"GROUP BY tag.value ORDER BY total DESC, value LIMIT 40"
)
).all()
errors = [
{"path": path, "error": message}
for path, message in session.execute(
select(Asset.current_path, AnalysisResult.error_message)
.join(Asset, Asset.id == AnalysisResult.asset_id)
.where(AnalysisResult.status == "error")
)
]
for tag in _tags(result.tags):
tag_counts[tag] += 1
if result.approx_year is not None:
year_counts[result.approx_year] += 1
if result.people_count is not None:
people["3+" if result.people_count >= 3 else str(result.people_count)] += 1
if result.status == "error":
errors.append({"path": path, "error": result.error_message})
return {
"total": sum(status.values()),
"status": status,
@@ -147,7 +111,7 @@ class LibraryService:
"season": self._facet("season"),
"people": [{"value": v, "count": n} for v, n in sorted(people.items())],
"years": [{"value": y, "count": year_counts[y]} for y in sorted(year_counts)],
"top_tags": [{"value": t, "count": n} for t, n in tag_counts],
"top_tags": [{"value": t, "count": n} for t, n in tag_counts.most_common(40)],
"albums": sorted(albums.values(), key=lambda d: d["album"]),
"errors": sorted(errors, key=lambda e: e["path"] or ""),
}

View File

@@ -1,391 +0,0 @@
"""The release gate, the real-library dry run, and the approval that unlocks
mutation (US07-07, concept §18 release gates).
Three things live here because they are one decision:
1. **The gate** — one command that provisions an isolated stack, runs every suite in
a fixed order, and retains versioned evidence with checksums. A release is not
"the tests passed on my machine last Tuesday"; it is a report that says which
revision, which suites, how long, and what the artefacts hash to.
2. **The dry run** — a strictly read-only pass over the real photo library that
answers "what would this application do to it?" before it is allowed to do
anything. It opens no file for writing, creates no database rows, and touches no
metadata; it counts, classifies, and reconciles against whatever the database
already knows.
3. **The approval** — a person reads that report and signs it off for exactly the
library roots it describes. Until then, with
``PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL`` set, every mutating request is
refused. Change the roots, or produce a newer report, and the approval no longer
matches: it approves *that* reconciliation, not the idea of mutating.
"""
from __future__ import annotations
import hashlib
import json
import os
import subprocess
import sys
import time
from collections import Counter
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path
from photo_pipeline import path_policy
from photo_pipeline.config import Config
SCHEMA_VERSION = 1
APPROVAL_NAME = "dry-run-approval.json"
CHECKSUMS_NAME = "CHECKSUMS.sha256"
REPORT_NAME = "release-report.json"
# The suites, in the order a failure is cheapest to read: units before the stacks
# they compose. ``label`` is what the report and the operator see.
STAGES: tuple[tuple[str, tuple[str, ...]], ...] = (
("unit", ("tests/unit",)),
("characterization", ("tests/characterization",)),
("integration", ("tests/integration",)),
("browser", ("tests/e2e",)),
)
# Skips the gate accepts, because they describe the machine rather than the code.
ALLOWED_SKIP_REASONS = ("exiftool not installed", "root ignores directory permissions")
class ReleaseError(RuntimeError):
pass
def _now() -> datetime:
return datetime.now(timezone.utc)
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def sha256_bytes(payload: bytes) -> str:
return hashlib.sha256(payload).hexdigest()
def revision() -> str | None:
"""The commit this gate ran against, when the tree is a git checkout."""
try:
result = subprocess.run(
["git", "rev-parse", "HEAD"],
capture_output=True,
text=True,
timeout=10,
cwd=str(Path(__file__).resolve().parents[2]),
)
except (OSError, subprocess.SubprocessError):
return None
return result.stdout.strip() or None
# ── the story matrix ─────────────────────────────────────────────────────────
def story_matrix(repo: Path | None = None) -> dict:
"""Every backlog story, and how it is covered.
A story is ``delivered`` (mapped to test files that exist) or ``planned`` (an
accepted, not-yet-implemented story). Anything else — a story file nobody
mapped, or a mapping to a file that is gone — is a hole in the matrix, and the
gate fails on it rather than reporting a green run over missing coverage.
"""
repo = repo or Path(__file__).resolve().parents[2]
traceability = json.loads((repo / "tests" / "story_traceability.json").read_text())
mapped: dict[str, list[str]] = traceability["stories"]
planned: list[str] = traceability.get("planned", [])
stories = sorted(
"-".join(path.stem.split("-")[:2])
for path in (repo / "delivery_backlog" / "stories").glob("US*.md")
)
missing_tests = [
f"{story}: {rel}"
for story, files in mapped.items()
for rel in files
if not (repo / rel).is_file()
]
unmapped = [s for s in stories if s not in mapped and s not in planned]
unknown = [s for s in list(mapped) + planned if s not in stories]
overlap = sorted(set(mapped) & set(planned))
return {
"stories": len(stories),
"delivered": sorted(mapped),
"planned": sorted(planned),
"problems": [
*(f"story with no tests and not planned: {s}" for s in unmapped),
*(f"mapped test file is missing — {entry}" for entry in missing_tests),
*(f"mapped story is not in the backlog: {s}" for s in unknown),
*(f"story is both delivered and planned: {s}" for s in overlap),
],
}
# ── the gate ─────────────────────────────────────────────────────────────────
@dataclass
class StageResult:
label: str
command: list[str]
returncode: int
seconds: float
summary: str
skipped: list[str]
def as_dict(self) -> dict:
return {
"stage": self.label,
"command": self.command,
"returncode": self.returncode,
"seconds": round(self.seconds, 2),
"summary": self.summary,
"skipped": self.skipped,
"ok": self.returncode == 0,
}
def _run_stage(label: str, paths: tuple[str, ...], *, repo: Path, log_dir: Path) -> StageResult:
command = [sys.executable, "-m", "pytest", *paths, "-q", "-rs"]
started = time.monotonic()
result = subprocess.run(command, cwd=str(repo), capture_output=True, text=True)
elapsed = time.monotonic() - started
output = result.stdout + result.stderr
(log_dir / f"{label}.log").write_text(output)
lines = [line for line in output.splitlines() if line.strip()]
summary = lines[-1] if lines else ""
skipped = [line for line in lines if line.startswith("SKIPPED")]
return StageResult(label, command, result.returncode, elapsed, summary, skipped)
def unexpected_skips(results: list[StageResult]) -> list[str]:
"""Skips the gate will not accept: everything but the documented environment ones."""
return [
line
for result in results
for line in result.skipped
if not any(reason in line for reason in ALLOWED_SKIP_REASONS)
]
def run_gate(
config: Config,
*,
output: Path | str | None = None,
stages: tuple[tuple[str, tuple[str, ...]], ...] = STAGES,
repo: Path | None = None,
) -> dict:
"""Run every suite in an isolated stack and retain checksummed evidence.
The stack is isolated by construction: each pytest run builds its own temporary
data directories and libraries, so the gate never reads or writes the operator's
photos. What it keeps afterwards is the report, the per-stage logs, and a
checksum file over both.
"""
repo = repo or Path(__file__).resolve().parents[2]
directory = Path(output) if output else Path(config.data_dir) / "release" / _now().strftime(
"%Y%m%dT%H%M%SZ"
)
logs = directory / "logs"
logs.mkdir(parents=True, exist_ok=True)
matrix = story_matrix(repo)
results = [_run_stage(label, paths, repo=repo, log_dir=logs) for label, paths in stages]
skips = unexpected_skips(results)
report = {
"schema_version": SCHEMA_VERSION,
"started_at": _now().isoformat(),
"revision": revision(),
"python": sys.version.split()[0],
"platform": os.uname().sysname,
"matrix": matrix,
"stages": [result.as_dict() for result in results],
"unexpected_skips": skips,
"failures": [result.label for result in results if result.returncode != 0],
}
report["ok"] = not report["failures"] and not matrix["problems"] and not skips
report["finished_at"] = _now().isoformat()
(directory / REPORT_NAME).write_text(json.dumps(report, indent=2))
# The evidence is only evidence if it can be shown to be the evidence that was
# produced. Checksums are the honest version of "signed" without a key: a real
# signature belongs to whatever key management the release actually has.
checksums = "\n".join(
f"{sha256_file(path)} {path.relative_to(directory)}"
for path in sorted(directory.rglob("*"))
if path.is_file() and path.name != CHECKSUMS_NAME
)
(directory / CHECKSUMS_NAME).write_text(checksums + "\n")
report["evidence"] = str(directory)
return report
# ── the real-library dry run ─────────────────────────────────────────────────
def dry_run(config: Config, *, roots: tuple[Path, ...] | None = None) -> dict:
"""Read-only reconciliation of the configured library. Changes nothing.
Opens no file for writing, writes no database row, and reads only what
``os.stat`` and the existing database already say. The point is to be able to
look at a real library — the one with the irreplaceable photos in it — and see
what the application believes about it before it is allowed to act.
"""
roots = roots or tuple(Path(root) for root in config.library_roots)
if not roots:
raise ReleaseError("no library roots are configured")
by_extension: Counter = Counter()
folders: set[str] = set()
files: list[str] = []
unreadable: list[str] = []
excluded = 0
total_bytes = 0
for root in roots:
if not Path(root).is_dir():
raise ReleaseError(f"library root {root} is not a directory")
for path in sorted(Path(root).rglob("*")):
if path.is_dir():
# Never traverse into an excluded directory, and never report its
# contents: proving exclusion must not require opening it.
if path_policy.is_excluded(path):
excluded += 1
continue
if path_policy.is_excluded(path):
continue
try:
stat = path.stat()
except OSError:
unreadable.append(str(path))
continue
files.append(str(path))
folders.add(str(path.parent))
by_extension[path.suffix.lower() or "(none)"] += 1
total_bytes += stat.st_size
known = _known_paths(config)
on_disk = set(files)
report = {
"schema_version": SCHEMA_VERSION,
"generated_at": _now().isoformat(),
"revision": revision(),
"library_roots": [str(root) for root in roots],
"files": len(files),
"folders": len(folders),
"bytes": total_bytes,
"excluded_directories": excluded,
"unreadable": unreadable,
"by_extension": dict(sorted(by_extension.items())),
"reconciliation": {
"known_to_database": len(known),
"already_registered": len(on_disk & known),
"new_to_the_application": len(on_disk - known),
"recorded_but_absent": sorted(known - on_disk)[:100],
"recorded_but_absent_total": len(known - on_disk),
},
"mutation": "none — this pass is read-only",
}
report["checksum"] = sha256_bytes(
json.dumps(report, sort_keys=True).encode("utf-8")
)
return report
def _known_paths(config: Config) -> set[str]:
"""Current asset paths the database holds, or an empty set if there is none."""
if not config.database_path.exists():
return set()
from sqlalchemy import select
from photo_pipeline.db import create_db_engine, create_session_factory
from photo_pipeline.models import Asset
engine = create_db_engine(config.database_url)
try:
with create_session_factory(engine)() as session:
return {
path
for path in session.scalars(select(Asset.current_path))
if path is not None
}
except Exception:
return set()
finally:
engine.dispose()
# ── the approval ─────────────────────────────────────────────────────────────
def approval_path(config: Config) -> Path:
return Path(config.data_dir) / APPROVAL_NAME
def approve(config: Config, report: dict | Path | str, *, approver: str) -> dict:
"""Record that a person read this reconciliation and accepts mutation for it."""
if isinstance(report, (str, Path)):
report = json.loads(Path(report).read_text())
if "checksum" not in report:
raise ReleaseError("this is not a dry-run report: it has no checksum")
record = {
"schema_version": SCHEMA_VERSION,
"approved_at": _now().isoformat(),
"approved_by": approver,
"report_checksum": report["checksum"],
"library_roots": report["library_roots"],
"files": report["files"],
"revision": report.get("revision"),
}
path = approval_path(config)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(record, indent=2))
return record
def mutation_blockers(config: Config) -> list[dict]:
"""Why mutation must stay refused, or an empty list.
Only enforced when ``require_dry_run_approval`` is configured — the loopback
developer setup keeps working unchanged, and an operator turns this on before
pointing the application at the library they cannot replace.
"""
if not config.require_dry_run_approval:
return []
path = approval_path(config)
if not path.exists():
return [
{
"code": "dry_run_not_approved",
"message": (
"run `python -m photo_pipeline dry-run` and approve its report "
"before mutation is enabled"
),
}
]
try:
record = json.loads(path.read_text())
except ValueError:
return [{"code": "approval_unreadable", "message": f"{path} is not readable JSON"}]
approved_roots = [str(root) for root in record.get("library_roots", [])]
configured = [str(root) for root in config.library_roots]
if sorted(approved_roots) != sorted(configured):
return [
{
"code": "approval_scope_mismatch",
"message": (
f"the approval covers {approved_roots}, but the configured library "
f"is {configured}; run a new dry run"
),
}
]
return []

View File

@@ -105,7 +105,7 @@ def exif_projection(decision: str) -> dict[str, list[str]]:
import uuid
from datetime import datetime, timezone
from sqlalchemy import column, func, select
from sqlalchemy import select
from sqlalchemy.orm import sessionmaker
from photo_pipeline.models import Asset, ExifProjection, SafetyReview
@@ -139,8 +139,8 @@ class SafetyService:
# -- reads ----------------------------------------------------------------
def _latest_by_asset(self, session) -> dict[str, SafetyReview]:
"""The current review per asset, as ORM rows. Only for small, known sets —
every library-wide caller uses ``latest_reviews()`` in SQL instead."""
# Latest row per asset. Small local scale: order ascending, let later rows
# overwrite. ponytail: a windowed query if safety_reviews ever grows huge.
latest: dict[str, SafetyReview] = {}
for review in session.scalars(select(SafetyReview).order_by(SafetyReview.created_at)):
latest[review.asset_id] = review
@@ -148,99 +148,58 @@ class SafetyService:
def current_decision(self, asset_id: str) -> str | None:
with self._session_factory() as session:
latest = latest_reviews().subquery()
return session.scalar(
select(latest.c.decision).where(latest.c.asset_id == asset_id)
)
review = self._latest_by_asset(session).get(asset_id)
return review.decision if review else None
def counts(self) -> dict[str, int]:
"""Decision breakdown over canonical, active assets — the workflow totals.
Aggregated in SQL: the workflow home asks for this on every load, and
materialising every asset and every review to count them cost hundreds of
milliseconds at 25k assets and would scale linearly from there (US07-06).
"""
latest = latest_reviews().subquery()
"""Decision breakdown over canonical, active assets — the workflow totals."""
with self._session_factory() as session:
rows = session.execute(
select(
func.coalesce(latest.c.decision, "undecided"),
func.count(),
func.count(latest.c.score),
)
.select_from(Asset)
.join(latest, latest.c.asset_id == Asset.id, isouter=True)
.where(
Asset.canonical_asset_id.is_(None),
Asset.availability_state == "active",
)
.group_by(func.coalesce(latest.c.decision, "undecided"))
).all()
out = {SFW: 0, NSFW: 0, "deferred": 0, "undecided": 0, "scored": 0}
for decision, total, scored in rows:
if decision in (SFW, NSFW, "deferred"):
out[decision] += int(total)
else:
# Anything that is not one of the three decisions is undecided —
# including a score-only review, which is what "scored" counts.
out["undecided"] += int(total)
out["scored"] += int(scored)
return out
assets = list(session.scalars(_eligible_assets_query()))
latest = self._latest_by_asset(session)
out = {SFW: 0, NSFW: 0, "deferred": 0, "undecided": 0, "scored": 0}
for asset in assets:
review = latest.get(asset.id)
decision = review.decision if review else None
if decision in (SFW, NSFW, "deferred"):
out[decision] += 1
else:
out["undecided"] += 1
if review and review.score is not None:
out["scored"] += 1
return out
def review_queue(self, state: str = "", limit: int = 100, offset: int = 0) -> dict:
"""Assets for the review UI, filtered by ``state`` (undecided/sfw/nsfw/deferred).
Filtered, counted, and paged in SQL (US07-06): the queue for a large library
is thousands of rows and the reviewer sees one page of it.
"""
latest = latest_reviews().subquery()
projections = (
select(ExifProjection.asset_id, ExifProjection.state.label("exif_state"))
.where(ExifProjection.stage == "safety")
.subquery()
)
effective = func.coalesce(latest.c.decision, "undecided")
query = (
select(
Asset.id,
Asset.current_path,
latest.c.score,
latest.c.decision,
latest.c.exif_verified_at,
projections.c.exif_state,
)
.select_from(Asset)
.join(latest, latest.c.asset_id == Asset.id, isouter=True)
.join(projections, projections.c.asset_id == Asset.id, isouter=True)
.where(
Asset.canonical_asset_id.is_(None),
Asset.availability_state == "active",
)
)
if state:
query = query.where(effective == state)
"""Assets for the review UI, filtered by ``state`` (undecided/sfw/nsfw/deferred)."""
with self._session_factory() as session:
total = int(
session.scalar(select(func.count()).select_from(query.subquery())) or 0
)
rows = session.execute(
query.order_by(Asset.current_path).limit(limit).offset(offset)
).all()
return {
"total": total,
"items": [
{
"asset_id": asset_id,
"current_path": current_path,
"score": score,
"decision": decision,
"suggested": classify(score) if score is not None else None,
"exif_verified": bool(exif_verified_at),
"exif_state": exif_state,
}
for asset_id, current_path, score, decision, exif_verified_at, exif_state in rows
],
}
assets = list(session.scalars(_eligible_assets_query().order_by(Asset.current_path)))
latest = self._latest_by_asset(session)
# One query, not one per asset: the reviewer needs to see a divergent
# checkpoint, which is neither "verified" nor a plain failure (US07-03).
projections = {
row.asset_id: row.state
for row in session.scalars(
select(ExifProjection).where(ExifProjection.stage == "safety")
)
}
rows = []
for asset in assets:
review = latest.get(asset.id)
decision = review.decision if review else None
effective = decision or "undecided"
if state and state != effective:
continue
rows.append(
{
"asset_id": asset.id,
"current_path": asset.current_path,
"score": review.score if review else None,
"decision": decision,
"suggested": classify(review.score) if review and review.score is not None else None,
"exif_verified": bool(review and review.exif_verified_at),
"exif_state": projections.get(asset.id),
}
)
return {"total": len(rows), "items": rows[offset : offset + limit]}
def scorable_asset_ids(self) -> list[str]:
"""Canonical active assets with a path — the items a scoring job enqueues."""
@@ -294,7 +253,6 @@ class SafetyService:
exif_verified_at = None
result_sha256 = None
result_byte_size = None
if write_exif and decision in (SFW, NSFW) and path:
ops = exif_projection(decision)
# The full checkpoint: write the owned keyword, read the whole file back,
@@ -315,7 +273,6 @@ class SafetyService:
if result.verified:
exif_verified_at = result.verified_at
result_sha256 = result.sha256
result_byte_size = result.byte_size
now = _now()
with self._session_factory() as session:
@@ -334,8 +291,6 @@ class SafetyService:
if result_sha256:
asset = session.get(Asset, asset_id)
asset.current_sha256 = result_sha256
if result_byte_size is not None:
asset.byte_size = result_byte_size
session.commit()
return {
"asset_id": asset_id,
@@ -345,34 +300,6 @@ class SafetyService:
}
def latest_reviews():
"""One row per asset: its current safety review, chosen in SQL.
``safety_reviews`` is append-only, so "the decision" is the newest row for an
asset. A window function picks it without loading the table; ``rowid`` breaks a
same-timestamp tie the same way the previous last-write-wins loop did.
"""
ranked = (
select(
SafetyReview.asset_id,
SafetyReview.decision,
SafetyReview.score,
SafetyReview.exif_verified_at,
func.row_number()
.over(
partition_by=SafetyReview.asset_id,
order_by=(SafetyReview.created_at.desc(), column("rowid").desc()),
)
.label("rank"),
)
.select_from(SafetyReview)
.subquery()
)
return select(
ranked.c.asset_id, ranked.c.decision, ranked.c.score, ranked.c.exif_verified_at
).where(ranked.c.rank == 1)
def _eligible_assets_query():
"""Canonical, active assets — the safety stage runs only on these.

View File

@@ -47,9 +47,7 @@ class WorkflowService:
active = self._active_job(session)
safety = SafetyService(self._session_factory).counts()
# Reuse the confirmed-SFW total just computed: resolving the current decision
# of every asset is the expensive part of this page (US07-06).
analysis = AnalysisService(self._session_factory).counts(eligible=safety[_SFW])
analysis = AnalysisService(self._session_factory).counts()
undecided_clusters = cluster_states.get("open", 0) + cluster_states.get("reopened", 0)
stages = [

View File

@@ -8,32 +8,18 @@ dependencies = [
"sqlalchemy>=2.0",
"alembic>=1.13",
"pydantic>=2.7",
# Imaging is runtime, not test-only: thumbnails decode through Pillow, and the
# perceptual hash is a DCT over the decoded pixels (services/hashing.py).
"pillow>=10",
"numpy>=1.26",
"scipy>=1.11",
]
[project.optional-dependencies]
# The cloud vision provider. Optional because the analysis stage is the only thing
# that needs it, and a local review-only install should not pull an API client.
vision = ["openai>=1.30"]
test = [
"pytest>=8",
"httpx>=0.27",
"pillow>=10",
"numpy>=1.26",
"scipy>=1.11",
"playwright>=1.40",
"pytest-playwright>=0.4",
]
[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
# The importable application. ``migrations`` and ``work_item`` live beside it but
# are not part of the package; without this, an editable install cannot guess.
packages = ["photo_pipeline"]
# Browser end-to-end tests also require: python -m playwright install chromium
[tool.ruff]

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@@ -1,298 +0,0 @@
"""The release gate, the read-only dry run, and the approval that unlocks mutation
(US07-07).
The gate itself is exercised with a tiny stage set — running the whole suite from
inside the suite would be a fork bomb with better manners. What is proven here is
the machinery a release depends on: the story matrix is complete, a failing stage
fails the gate, an unexpected skip fails the gate, and the evidence is written with
checksums that match what was written.
The dry run is proven to be read-only against a real temporary library, and the
approval is proven to be what stands between a configured library and any mutation.
"""
from __future__ import annotations
import json
import os
import uuid
from datetime import datetime, timezone
from pathlib import Path
import pytest
from fastapi.testclient import TestClient
from photo_pipeline.api.app import create_app
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
from photo_pipeline.models import Asset
from photo_pipeline.services import release
REPO = Path(__file__).resolve().parents[2]
NOW = datetime(2026, 1, 1, tzinfo=timezone.utc)
# Two throwaway stages: one that passes, one the test can point at a failure.
PASSING = ("tests/e2e/test_traceability.py",)
def _config(tmp_path, **extra) -> Config:
data = tmp_path / "data"
data.mkdir(parents=True, exist_ok=True)
lib = tmp_path / "lib"
lib.mkdir(exist_ok=True)
return Config.from_env(
{
"PHOTO_PIPELINE_DATA_DIR": str(data),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(lib),
**extra,
}
)
# ── the story matrix ─────────────────────────────────────────────────────────
def test_every_backlog_story_is_delivered_or_explicitly_planned():
matrix = release.story_matrix(REPO)
assert matrix["problems"] == [], "the story matrix has holes"
assert len(matrix["delivered"]) + len(matrix["planned"]) == matrix["stories"]
assert "US01-01" in matrix["delivered"] and "US07-07" in matrix["delivered"]
def test_a_story_without_tests_is_a_gate_failure(tmp_path):
"""A story file nobody covered must not pass quietly as 'no tests ran'."""
fake = tmp_path / "repo"
(fake / "delivery_backlog" / "stories").mkdir(parents=True)
(fake / "tests").mkdir()
(fake / "delivery_backlog" / "stories" / "US99-01-invented.md").write_text("# US99-01")
(fake / "tests" / "story_traceability.json").write_text(json.dumps({"stories": {}}))
matrix = release.story_matrix(fake)
assert matrix["problems"] == ["story with no tests and not planned: US99-01"]
def test_a_mapping_to_a_deleted_test_file_is_a_gate_failure(tmp_path):
fake = tmp_path / "repo"
(fake / "delivery_backlog" / "stories").mkdir(parents=True)
(fake / "tests").mkdir()
(fake / "delivery_backlog" / "stories" / "US99-01-invented.md").write_text("# US99-01")
(fake / "tests" / "story_traceability.json").write_text(
json.dumps({"stories": {"US99-01": ["tests/gone.py"]}})
)
assert release.story_matrix(fake)["problems"] == [
"mapped test file is missing — US99-01: tests/gone.py"
]
# ── the gate ─────────────────────────────────────────────────────────────────
def test_the_gate_runs_its_stages_and_keeps_checksummed_evidence(tmp_path):
config = _config(tmp_path)
evidence = tmp_path / "evidence"
report = release.run_gate(config, output=evidence, stages=(("smoke", PASSING),))
assert report["ok"] is True and report["failures"] == []
assert report["stages"][0]["stage"] == "smoke" and report["stages"][0]["ok"] is True
assert report["revision"], "the evidence must say which commit it covers"
assert report["matrix"]["problems"] == []
written = json.loads((evidence / release.REPORT_NAME).read_text())
assert written["ok"] is True
assert (evidence / "logs" / "smoke.log").exists()
checksums = (evidence / release.CHECKSUMS_NAME).read_text().splitlines()
assert len(checksums) >= 2
for line in checksums:
digest, name = line.split(" ", 1)
assert release.sha256_file(evidence / name) == digest
def test_a_failing_stage_fails_the_gate(tmp_path):
config = _config(tmp_path)
failing = tmp_path / "failing_test.py"
failing.write_text("def test_no():\n assert False\n")
report = release.run_gate(
config, output=tmp_path / "evidence", stages=(("broken", (str(failing),)),)
)
assert report["ok"] is False and report["failures"] == ["broken"]
assert report["stages"][0]["returncode"] != 0
def test_an_unexpected_skip_fails_the_gate_but_an_environment_skip_does_not():
environment = release.StageResult(
"unit", [], 0, 0.1, "1 skipped", ["SKIPPED [1] x.py:1: exiftool not installed"]
)
silent = release.StageResult(
"unit", [], 0, 0.1, "1 skipped", ["SKIPPED [1] x.py:1: flaky, look later"]
)
assert release.unexpected_skips([environment]) == []
assert release.unexpected_skips([silent, environment]) == [
"SKIPPED [1] x.py:1: flaky, look later"
]
# ── the real-library dry run ─────────────────────────────────────────────────
def _library(root: Path) -> None:
(root / "album").mkdir(parents=True)
(root / "album" / "a.jpg").write_bytes(b"a" * 128)
(root / "album" / "b.png").write_bytes(b"b" * 64)
(root / "loose.JPG").write_bytes(b"c" * 32)
excluded = root / "_IGNORE" / "private"
excluded.mkdir(parents=True)
(excluded / "secret.jpg").write_bytes(b"never read")
def test_the_dry_run_describes_the_library_without_touching_it(tmp_path):
config = _config(tmp_path)
root = Path(config.library_roots[0])
_library(root)
before = {
str(p): (p.stat().st_mtime_ns, p.read_bytes()) for p in root.rglob("*") if p.is_file()
}
report = release.dry_run(config)
assert report["files"] == 3, "the excluded sentinel is not counted"
assert report["by_extension"] == {".jpg": 2, ".png": 1}
assert report["excluded_directories"] >= 1
assert report["mutation"] == "none — this pass is read-only"
assert report["checksum"]
assert not any("secret" in json.dumps(report) for _ in [0]), "excluded content never appears"
after = {
str(p): (p.stat().st_mtime_ns, p.read_bytes()) for p in root.rglob("*") if p.is_file()
}
assert after == before, "a read-only pass changed the library"
def test_the_dry_run_reconciles_against_what_the_database_already_knows(tmp_path):
config = _config(tmp_path)
root = Path(config.library_roots[0])
_library(root)
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
with create_session_factory(engine)() as session:
session.add(
Asset(
id=str(uuid.uuid4()),
original_path=str(root / "album" / "a.jpg"),
current_path=str(root / "album" / "a.jpg"),
discovered_at=NOW,
hash_version=1,
byte_size=128,
)
)
session.add(
Asset(
id=str(uuid.uuid4()),
original_path=str(root / "album" / "gone.jpg"),
current_path=str(root / "album" / "gone.jpg"),
discovered_at=NOW,
hash_version=1,
byte_size=1,
)
)
session.commit()
engine.dispose()
reconciliation = release.dry_run(config)["reconciliation"]
assert reconciliation["known_to_database"] == 2
assert reconciliation["already_registered"] == 1
assert reconciliation["new_to_the_application"] == 2
assert reconciliation["recorded_but_absent_total"] == 1
assert reconciliation["recorded_but_absent"][0].endswith("gone.jpg")
def test_a_library_root_that_is_not_there_is_refused(tmp_path):
config = _config(tmp_path, PHOTO_PIPELINE_LIBRARY_ROOTS=str(tmp_path / "nowhere"))
with pytest.raises(release.ReleaseError, match="not a directory"):
release.dry_run(config)
# ── the approval ─────────────────────────────────────────────────────────────
def test_mutation_is_refused_until_the_dry_run_is_approved(tmp_path):
config = _config(tmp_path, PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL="1")
_library(Path(config.library_roots[0]))
blockers = release.mutation_blockers(config)
assert [blocker["code"] for blocker in blockers] == ["dry_run_not_approved"]
record = release.approve(config, release.dry_run(config), approver="domverse")
assert record["approved_by"] == "domverse" and record["report_checksum"]
assert release.mutation_blockers(config) == []
def test_an_approval_covers_the_library_it_was_written_for(tmp_path):
config = _config(tmp_path, PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL="1")
_library(Path(config.library_roots[0]))
release.approve(config, release.dry_run(config), approver="domverse")
other = tmp_path / "other-library"
other.mkdir()
moved = config.model_copy(update={"library_roots": (other,)})
assert [b["code"] for b in release.mutation_blockers(moved)] == ["approval_scope_mismatch"]
def test_without_the_requirement_nothing_changes(tmp_path):
config = _config(tmp_path) # the loopback development default
assert release.mutation_blockers(config) == []
def test_the_api_refuses_every_mutation_until_the_report_is_approved(tmp_path):
config = _config(tmp_path, PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL="1")
_library(Path(config.library_roots[0]))
with TestClient(create_app(config)) as client:
# Reading stays open: an operator has to see what was found to approve it.
assert client.get("/api/v1/workflow").status_code == 200
refused = client.post("/api/v1/inventory/scan", json={})
assert refused.status_code == 403
assert refused.json()["error"]["code"] == "dry_run_not_approved"
# A backup is the one mutation a careful operator takes first.
assert client.post("/api/v1/backups", json={}).status_code == 201
release.approve(config, release.dry_run(config), approver="domverse")
assert client.post("/api/v1/inventory/scan", json={}).status_code in (200, 201, 202)
def test_approving_something_that_is_not_a_report_is_refused(tmp_path):
config = _config(tmp_path)
with pytest.raises(release.ReleaseError, match="not a dry-run report"):
release.approve(config, {"files": 3}, approver="domverse")
def test_the_cli_runs_the_dry_run_and_the_approval(tmp_path):
config = _config(tmp_path, PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL="1")
_library(Path(config.library_roots[0]))
from photo_pipeline.__main__ import main
environment = {
"PHOTO_PIPELINE_DATA_DIR": str(config.data_dir),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(config.library_roots[0]),
"PHOTO_PIPELINE_REQUIRE_DRY_RUN_APPROVAL": "1",
}
previous = {key: os.environ.get(key) for key in environment}
os.environ.update(environment)
try:
report_path = tmp_path / "dry-run.json"
assert main(["dry-run", "--output", str(report_path)]) == 0
assert json.loads(report_path.read_text())["files"] == 3
assert main(["approve-dry-run", str(report_path), "--approver", "domverse"]) == 0
finally:
for key, value in previous.items():
if value is None:
os.environ.pop(key, None)
else:
os.environ[key] = value
assert release.mutation_blockers(config) == []

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@@ -1,348 +0,0 @@
"""The release journey (US07-07): one library, one fresh environment, every stage.
This is the acceptance the whole backlog builds up to — discovery, duplicate review,
safety, analysis, EXIF verification, album proposal, guarded rename, rescan and
reconciliation, upload, archive, offline deduplication, restore — driven over HTTP
against real ``photo_pipeline serve`` and worker child processes, with full process
restarts in the middle and at the end.
Nothing is reached into. External services are the deterministic fakes the earlier
phases already use, invoked through the real integration layer: a vision fake that
records every path it was given, a real fake ``immich-go`` executable, and an
archive medium that is an ordinary directory whose marker file is its identity.
The invariants asserted along the way are the ones the concept calls non-negotiable:
- an asset's identity survives a rename, an upload, an archive, and a restore;
- an ``_IGNORE`` sentinel is never discovered, counted, analysed, or uploaded;
- an NSFW asset never reaches the vision provider but still reaches Immich;
- no photo's bytes are lost at any point — every hash is still reachable somewhere;
- every stage's durable state survives a restart of both processes.
"""
from __future__ import annotations
import hashlib
import shutil
from pathlib import Path
import httpx
import pytest
from tests.e2e._pipeline_harness import (
SENTINEL_KEY,
FakeImmich,
Server,
fake_uploader,
image,
seed_library,
start_worker,
wait_until,
)
TIMEOUT = 30
ALBUM = "rome"
UPLOADER = 'echo "INFO uploaded $6"\necho "Uploaded 2, duplicates 0"\nexit 0\n'
def _sha256(path: Path) -> str:
return hashlib.sha256(path.read_bytes()).hexdigest()
def _hashes(*roots: Path) -> set[str]:
return {
_sha256(path)
for root in roots
for path in root.rglob("*.jpg")
if path.is_file() and not path.name.startswith(".")
}
def _post(base: str, path: str, **kwargs) -> httpx.Response:
response = httpx.post(f"{base}/api/v1{path}", timeout=TIMEOUT, **kwargs)
response.raise_for_status()
return response
def _get(base: str, path: str, **kwargs) -> dict:
response = httpx.get(f"{base}/api/v1{path}", timeout=TIMEOUT, **kwargs)
response.raise_for_status()
return response.json()
def _await_job(base: str, job_id: str, *, states=("succeeded",)) -> dict:
return wait_until(
lambda: (
snapshot
if (snapshot := _get(base, f"/jobs/{job_id}"))["state"] in states
else None
),
timeout=90,
)
@pytest.fixture
def library(tmp_path):
"""A fresh library: an album, an exact duplicate, and an excluded sentinel."""
seeded = seed_library(tmp_path, {}, {})
album = seeded.lib / ALBUM
image(album / "a.jpg", 11)
image(album / "b.jpg", 12)
shutil.copyfile(album / "a.jpg", album / "a-copy.jpg") # exact duplicate
ignored = seeded.lib / "_IGNORE" / "private"
ignored.mkdir(parents=True)
image(ignored / "sentinel-9f3a2b.jpg", 99)
return seeded
@pytest.mark.skipif(shutil.which("exiftool") is None, reason="exiftool not installed")
def test_the_full_release_journey_survives_every_stage_and_two_restarts(library, tmp_path):
immich = FakeImmich()
uploader = fake_uploader(tmp_path, UPLOADER)
vision_log = tmp_path / "vision.log"
archive_root = tmp_path / "medium"
archive_root.mkdir()
environment = {
"PHOTO_PIPELINE_IMMICH_SERVER_URL": immich.url,
"PHOTO_PIPELINE_IMMICH_API_KEY": SENTINEL_KEY,
"PHOTO_PIPELINE_IMMICH_GO_BINARY": str(uploader),
"PHOTO_PIPELINE_ARCHIVE_FREE_SPACE_RESERVE_BYTES": "0",
"PHOTO_PIPELINE_FAKE_VISION_LOG": str(vision_log),
}
server = Server(library, extra_env=environment).start()
worker = start_worker(library, extra_env=environment)
base = server.base
try:
# ── 0. discovery ─────────────────────────────────────────────────────
_post(base, "/inventory/scan")
assets = _get(base, "/inventory/assets", params={"limit": 200})["items"]
assert len(assets) == 3, "the sentinel under _IGNORE is not an asset"
paths = {asset["current_path"] for asset in assets}
assert not any("_IGNORE" in path or "sentinel" in path for path in paths)
identity = {asset["id"]: Path(asset["current_path"]).name for asset in assets}
# ── 1. duplicate review ──────────────────────────────────────────────
_post(base, "/duplicates/detect")
clusters = _get(base, "/duplicates/clusters")["items"]
assert len(clusters) == 1 and clusters[0]["member_total"] == 2
cluster = _get(base, f"/duplicates/clusters/{clusters[0]['id']}")
canonical = sorted(member["asset_id"] for member in cluster["members"])[0]
_post(
base,
f"/duplicates/clusters/{cluster['id']}/decision",
json={
"decision": "canonical",
"canonical_asset_id": canonical,
"expected_version": cluster["version"],
},
)
# ── 2. safety, with its EXIF checkpoint ──────────────────────────────
queue = _get(base, "/safety/queue", params={"limit": 100})["items"]
assert len(queue) == 2, "a non-canonical variant is not reviewed twice"
decisions = {}
for index, item in enumerate(sorted(queue, key=lambda row: row["current_path"])):
decision = "nsfw" if index == 0 else "sfw"
decisions[item["asset_id"]] = decision
result = _post(
base, "/safety/decisions", json={"asset_id": item["asset_id"], "decision": decision}
).json()
assert result["exif_verified"] is True, "the safety checkpoint must verify"
# ── restart: everything so far has to be durable ─────────────────────
server.stop()
server.start()
base = server.base
assert _get(base, "/safety/counts")["nsfw"] == 1
assert {a["id"] for a in _get(base, "/inventory/assets", params={"limit": 200})["items"]} == set(
identity
)
# ── 3. analysis, gated to confirmed-SFW assets ───────────────────────
job = _post(base, "/analysis/jobs").json()
_await_job(base, job["id"])
analysed = [
name
for name, decision in (
(identity[asset_id], decision) for asset_id, decision in decisions.items()
)
if decision == "sfw"
]
seen = vision_log.read_text().splitlines()
assert len(seen) == len(analysed) == 1
assert not any("sentinel" in line or "_IGNORE" in line for line in seen)
nsfw_id = next(aid for aid, decision in decisions.items() if decision == "nsfw")
assert all(identity[nsfw_id] not in line for line in seen), "NSFW reached the provider"
# From here on no stage may change a photo's bytes: the metadata stages are
# done, and moving, uploading, archiving, and restoring only relocate them.
stable_hashes = _hashes(library.lib)
# ── 4. album proposal and guarded rename ─────────────────────────────
_post(base, "/albums/proposals", json={})
proposal = _get(base, f"/albums/proposals/{ALBUM}")
_post(
base,
f"/albums/proposals/{ALBUM}/edit",
json={"name": "2019 Rome", "expected_version": proposal["version"]},
)
proposal = _get(base, f"/albums/proposals/{ALBUM}")
_post(
base,
f"/albums/proposals/{ALBUM}/approve",
json={"expected_version": proposal["version"]},
)
plan = _post(base, "/rename-plans").json()
assert plan["blockers"] == [], [
(issue["code"], issue["message"])
for op in plan["operations"]
for issue in op["issues"]
]
response = httpx.post(
f"{base}/api/v1/rename-plans/{plan['id']}/apply",
json={"expected_version": plan["version"], "expected_checksum": plan["checksum"]},
timeout=TIMEOUT,
)
assert response.status_code == 200, response.text
applied = response.json()
assert applied["failed"] == 0 and applied["applied"] == 1
assert (library.lib / "2019 Rome").is_dir() and not (library.lib / ALBUM).exists()
# ── 5. rescan and reconciliation: identity survives the move ─────────
_post(base, "/inventory/scan")
after_rename = _get(base, "/inventory/assets", params={"limit": 200})["items"]
assert {asset["id"] for asset in after_rename} == set(identity)
assert all("2019 Rome" in asset["current_path"] for asset in after_rename)
assert _hashes(library.lib) == stable_hashes, "a rename changed a photo's bytes"
# ── 6. upload ────────────────────────────────────────────────────────
report = _post(base, "/upload-preflight", json={"albums": ["2019 Rome"]}).json()
assert report["state"] == "ready", report["blockers"]
batch = _post(
base,
"/upload-batches",
json={"albums": ["2019 Rome"], "token": report["token"]},
).json()["batches"][0]
started = _post(base, f"/upload-batches/{batch['id']}/start").json()
_await_job(base, started["job"]["id"])
uploaded = _get(base, f"/upload-batches/{batch['id']}")
assert uploaded["state"] == "succeeded"
# The uploader said nothing per file, so the outcome is uncertain until the
# server itself is asked whether it holds those exact bytes (US05-04).
assert uploaded["outcome_state"] == "requires_verification"
verified = _post(base, f"/upload-batches/{batch['id']}/verify").json()
assert verified["outcome_state"] == "verified", verified
uploaded = _get(base, f"/upload-batches/{batch['id']}")
# Reviewed NSFW is uploaded; it simply never reached the analyser.
assert {item["asset_id"] for item in uploaded["items"]} >= {nsfw_id}
# ── 7. archive ───────────────────────────────────────────────────────
location = _post(
base, "/archive-locations", json={"name": "external", "root": str(archive_root)}
).json()
preflight = _post(
base, "/archive-preflight", json={"location_id": location["id"]}
).json()
assert preflight["state"] == "ready", [
(asset["asset_id"], asset["blockers"])
for album in preflight["albums"]
for asset in album["assets"]
if asset["blockers"]
] or preflight
archive_plan = _post(
base,
"/archive-plans",
json={"location_id": location["id"], "token": preflight["token"]},
).json()
uploaded_ids = {item["asset_id"] for item in uploaded["items"]}
_post(base, f"/archive-plans/{archive_plan['id']}/apply")
wait_until(
lambda: all(
asset["availability_state"].startswith("archived")
for asset in _get(base, "/inventory/assets", params={"limit": 200})["items"]
if asset["id"] in uploaded_ids
),
timeout=90,
)
assert _hashes(library.lib, archive_root) == stable_hashes, "archiving lost bytes"
# ── 8. offline deduplication ─────────────────────────────────────────
(archive_root / ".photo-pipeline-archive.json").rename(
archive_root / ".photo-pipeline-archive.json.away"
)
# A copy of an archived photo turns up in the library under its own name —
# the real shape of "I re-imported an old card" — so nothing occupies the
# path the archived original would be restored to.
returned = library.lib / "2019 Rome" / "rediscovered.jpg"
returned.parent.mkdir(parents=True, exist_ok=True)
archived_copy = next(archive_root.rglob("*.jpg"))
shutil.copyfile(archived_copy, returned)
_post(base, "/inventory/scan")
_post(base, "/duplicates/detect")
offline = _get(base, "/inventory/assets", params={"limit": 200})["items"]
archived = [a for a in offline if a["availability_state"].startswith("archived")]
assert archived, "an unmounted medium must not make assets missing"
assert all(a["availability_state"] != "missing_unexpected" for a in offline)
assert any(
cluster["member_total"] >= 2 for cluster in _get(base, "/duplicates/clusters")["items"]
), "the rediscovered copy did not meet its archived original"
# ── 9. restore ───────────────────────────────────────────────────────
(archive_root / ".photo-pipeline-archive.json.away").rename(
archive_root / ".photo-pipeline-archive.json"
)
restore_report = _post(
base, "/restore-preflight", json={"location_id": location["id"]}
).json()
restore_plan = _post(
base,
"/restore-plans",
json={"location_id": location["id"], "token": restore_report["token"]},
).json()
_post(base, f"/restore-plans/{restore_plan['id']}/apply")
wait_until(
lambda: all(
asset["availability_state"] == "active"
for asset in _get(base, "/inventory/assets", params={"limit": 200})["items"]
if asset["id"] in identity
),
timeout=90,
)
# ── 10. the final restart proves every stage was durable ─────────────
worker.kill()
worker.wait(timeout=20)
server.stop()
server.start()
base = server.base
final = {
asset["id"]: asset
for asset in _get(base, "/inventory/assets", params={"limit": 200})["items"]
}
assert set(identity) <= set(final), "an asset id did not survive the journey"
assert _get(base, "/safety/counts")["nsfw"] == 1
assert _get(base, "/upload-batches")["batches"][0]["state"] == "succeeded"
reachable = {
_sha256(path): str(path)
for root in (library.lib, archive_root)
for path in root.rglob("*.jpg")
if path.is_file() and not path.name.startswith(".")
}
assert stable_hashes <= set(reachable), (
"a photo was lost",
sorted(stable_hashes - set(reachable)),
sorted(reachable.values()),
)
workflow = _get(base, "/workflow")
assert {stage["key"] for stage in workflow["stages"]} >= {
"inventory",
"duplicates",
"safety",
"analysis",
}
finally:
worker.kill()
worker.wait(timeout=20)
server.stop()
immich.stop()

View File

@@ -1,504 +0,0 @@
"""Backup, verification, retention, restore drills, and process locking (US07-05).
The drills are real: a populated library is backed up through SQLite's online
backup API while the database is open, restored into a *fresh* data directory, and
then queried through the ordinary services to prove the records survived — not just
that a file was copied. A damaged snapshot must be caught before it is trusted, and
a restore on top of a live installation must be refused.
"""
from __future__ import annotations
import json
import os
import sqlite3
import subprocess
import sys
import uuid
from datetime import datetime, timezone
from pathlib import Path
import pytest
from sqlalchemy import select, text
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
from photo_pipeline.models import Asset, SafetyReview
from photo_pipeline.services import app_lock
from photo_pipeline.services.app_lock import (
LegacyProcessActive,
LibraryLock,
LockHeld,
)
from photo_pipeline.services.backup import (
DB_NAME,
MANIFEST_NAME,
BackupError,
BackupService,
migrate_with_backup,
)
REPO = Path(__file__).resolve().parents[2]
NOW = datetime(2026, 1, 1, tzinfo=timezone.utc)
# Split so the workflow secret scanner does not read the fixture as a real key.
IMMICH_CREDENTIAL_ENV = "PHOTO_PIPELINE_IMMICH_" + "API_KEY"
SENTINEL_CREDENTIAL = "immich-sentinel-9f3a2b"
def _config(tmp_path, name="data", **extra) -> Config:
data = tmp_path / name
data.mkdir(parents=True, exist_ok=True)
lib = tmp_path / "lib"
lib.mkdir(exist_ok=True)
return Config.from_env(
{
"PHOTO_PIPELINE_DATA_DIR": str(data),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(lib),
**extra,
}
)
def _seeded(config: Config, assets: int = 3):
"""A migrated database with real rows — what a backup has to preserve."""
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
with factory() as session:
for index in range(assets):
asset_id = str(uuid.uuid4())
path = str(config.library_roots[0] / f"photo-{index}.jpg")
session.add(
Asset(
id=asset_id,
original_path=path,
current_path=path,
discovered_at=NOW,
hash_version=1,
byte_size=1024,
current_sha256=f"{index:064x}",
)
)
session.add(
SafetyReview(
id=str(uuid.uuid4()), asset_id=asset_id, decision="sfw", created_at=NOW
)
)
session.commit()
return engine, factory
# ── create and verify ────────────────────────────────────────────────────────
def test_a_backup_is_taken_while_the_database_is_open_and_verifies(tmp_path):
config = _config(tmp_path)
engine, factory = _seeded(config)
try:
with factory() as session: # a live reader, exactly as in production
session.execute(text("SELECT count(*) FROM assets"))
manifest = BackupService(config).create(reason="drill")
finally:
engine.dispose()
directory = BackupService(config).root / manifest["name"]
assert (directory / DB_NAME).exists() and (directory / MANIFEST_NAME).exists()
assert manifest["counts"]["assets"] == 3 and manifest["counts"]["safety_reviews"] == 3
assert manifest["database"]["integrity"] == "ok"
assert manifest["revision"]
assert BackupService(config).verify(directory).ok
def test_the_snapshot_holds_every_committed_page_not_just_the_main_file(tmp_path):
"""With WAL on, recent commits live in the -wal file. A file copy would lose
them; the online backup API must not."""
config = _config(tmp_path)
engine, factory = _seeded(config, assets=2)
try:
with factory() as session: # committed, but almost certainly still in the WAL
session.add(
Asset(
id="late",
original_path="late.jpg",
current_path="late.jpg",
discovered_at=NOW,
hash_version=1,
byte_size=1,
)
)
session.commit()
manifest = BackupService(config).create()
finally:
engine.dispose()
snapshot = BackupService(config).root / manifest["name"] / DB_NAME
with sqlite3.connect(snapshot) as connection:
assert connection.execute("SELECT count(*) FROM assets").fetchone()[0] == 3
def test_the_manifest_names_configuration_and_media_but_never_a_secret(tmp_path):
config = _config(
tmp_path,
**{IMMICH_CREDENTIAL_ENV: SENTINEL_CREDENTIAL},
PHOTO_PIPELINE_IMMICH_SERVER_URL="http://127.0.0.1:2283",
)
engine, factory = _seeded(config)
archive_root = tmp_path / "medium"
archive_root.mkdir()
with factory() as session:
session.execute(
text(
"INSERT INTO archive_locations (id, name, root, media_id, state) "
"VALUES ('loc', 'external', :root, 'media-1', 'online')"
),
{"root": str(archive_root)},
)
session.commit()
engine.dispose()
manifest = BackupService(config).create()
raw = (BackupService(config).root / manifest["name"] / MANIFEST_NAME).read_text()
assert SENTINEL_CREDENTIAL not in raw
assert manifest["configuration"]["secrets"]["immich_api_key"] == "configured"
assert manifest["configuration"]["immich_server_url"] == "http://127.0.0.1:2283"
location = manifest["archive_locations"][0]
assert location["name"] == "external" and location["mounted"] is True
assert manifest["retention"]["keep"] and manifest["retention"]["guidance"]
# ── damage detection ─────────────────────────────────────────────────────────
def test_a_corrupted_snapshot_is_detected_before_it_is_trusted(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
service = BackupService(config)
manifest = service.create()
snapshot = service.root / manifest["name"] / DB_NAME
body = bytearray(snapshot.read_bytes())
body[4096 : 4096 + 1024] = b"\xde\xad\xbe\xef" * 256
snapshot.write_bytes(bytes(body))
result = service.verify(service.root / manifest["name"])
assert result.ok is False
assert any("sha256" in issue for issue in result.issues)
with pytest.raises(BackupError, match="unverified"):
service.restore(service.root / manifest["name"], tmp_path / "fresh")
def test_a_backup_without_its_manifest_is_not_a_backup(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
service = BackupService(config)
manifest = service.create()
(service.root / manifest["name"] / MANIFEST_NAME).unlink()
result = service.verify(service.root / manifest["name"])
assert result.ok is False and "manifest" in result.issues[0]
assert service.list()[0]["complete"] is False
def test_rows_removed_from_a_snapshot_are_caught_by_the_recorded_counts(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
service = BackupService(config)
manifest = service.create()
directory = service.root / manifest["name"]
# Edit the snapshot the way a "helpful" repair would: still a valid database,
# still self-consistent — and no longer the backup that was verified.
with sqlite3.connect(directory / DB_NAME) as connection:
connection.execute("DELETE FROM safety_reviews")
with (directory / MANIFEST_NAME).open() as handle:
edited = json.load(handle)
from photo_pipeline.services.backup import sha256_file
edited["database"]["sha256"] = sha256_file(directory / DB_NAME)
(directory / MANIFEST_NAME).write_text(json.dumps(edited))
result = service.verify(directory)
assert result.ok is False
assert any("row counts changed" in issue for issue in result.issues)
# ── retention ────────────────────────────────────────────────────────────────
def test_retention_keeps_the_newest_and_removes_the_rest(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
service = BackupService(config)
names = [service.create(reason=f"drill{index}", keep=None)["name"] for index in range(5)]
removed = service.prune(keep=2)
remaining = [entry["name"] for entry in service.list()]
assert len(remaining) == 2
assert set(removed) | set(remaining) == set(names)
assert sorted(remaining, reverse=True) == remaining # newest kept
with pytest.raises(BackupError):
service.prune(keep=0) # "keep nothing" is never a retention policy
# ── restore drill ────────────────────────────────────────────────────────────
def test_a_restored_backup_serves_the_same_records_from_a_fresh_root(tmp_path):
config = _config(tmp_path)
engine, factory = _seeded(config)
with factory() as session:
expected = sorted(session.scalars(select(Asset.id)).all())
engine.dispose()
service = BackupService(config)
manifest = service.create()
report = service.restore(service.root / manifest["name"], tmp_path / "restored")
assert report["integrity"] == "ok" and report["counts"]["assets"] == 3
assert report["next_steps"], "a restore has to say what to do next"
restored = Config.from_env(
{
"PHOTO_PIPELINE_DATA_DIR": str(tmp_path / "restored"),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(config.library_roots[0]),
}
)
# The drill finishes the way the documentation says: migrate, then read.
run_migrations(restored.database_url)
fresh_engine = create_db_engine(restored.database_url)
try:
with create_session_factory(fresh_engine)() as session:
assert sorted(session.scalars(select(Asset.id)).all()) == expected
assert session.scalars(select(SafetyReview)).all()
assert session.execute(text("PRAGMA integrity_check")).scalar() == "ok"
finally:
fresh_engine.dispose()
def test_restore_refuses_to_overwrite_a_live_installation(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
service = BackupService(config)
manifest = service.create()
before = config.database_path.read_bytes()
with pytest.raises(BackupError, match="fresh data directory"):
service.restore(service.root / manifest["name"], config.data_dir)
assert config.database_path.read_bytes() == before
# ── migration safety ─────────────────────────────────────────────────────────
def test_a_pending_migration_is_snapshotted_first(tmp_path, monkeypatch):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
# Pretend this code expects a newer schema than the database has.
monkeypatch.setattr("photo_pipeline.db.head_revision", lambda: "9999_future")
manifest = migrate_with_backup(config)
assert manifest is not None and manifest["reason"] == "pre-migration"
assert BackupService(config).verify(BackupService(config).root / manifest["name"]).ok
def test_an_up_to_date_database_is_not_backed_up_on_every_start(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
assert migrate_with_backup(config) is None
assert BackupService(config).list() == []
def test_a_failed_migration_names_the_backup_to_restore(tmp_path, monkeypatch, caplog):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
monkeypatch.setattr("photo_pipeline.db.head_revision", lambda: "9999_future")
def explode(url):
raise RuntimeError("ALTER TABLE failed halfway")
monkeypatch.setattr("photo_pipeline.db.run_migrations", explode)
with caplog.at_level("ERROR"):
with pytest.raises(RuntimeError, match="halfway"):
migrate_with_backup(config)
backups = BackupService(config).list()
assert len(backups) == 1 and backups[0]["reason"] == "pre-migration"
assert backups[0]["name"] in caplog.text
# The database the failed migration ran against is still restorable.
assert BackupService(config).verify(Path(backups[0]["path"])).ok
# ── process locking ──────────────────────────────────────────────────────────
def test_a_second_worker_is_refused_while_the_first_holds_the_lock(tmp_path):
config = _config(tmp_path)
first = LibraryLock(config, "worker")
holder = first.acquire()
with pytest.raises(LockHeld) as error:
LibraryLock(config, "worker").acquire()
assert error.value.holder.pid == holder.pid == os.getpid()
first.release()
LibraryLock(config, "worker").acquire() # free again
def test_the_api_and_a_worker_hold_separate_locks(tmp_path):
config = _config(tmp_path)
LibraryLock(config, "api").acquire()
LibraryLock(config, "worker").acquire() # designed to run together
assert {role: bool(lock) for role, lock in _locks(config).items()} == {
"api": True,
"worker": True,
}
def test_a_lock_left_by_a_dead_process_is_taken_over(tmp_path):
config = _config(tmp_path)
dead = subprocess.Popen([sys.executable, "-c", "pass"])
dead.wait()
lock = LibraryLock(config, "worker")
lock.path.parent.mkdir(parents=True, exist_ok=True)
lock.path.write_text(
json.dumps(
{
"lock_version": 1,
"role": "worker",
"pid": dead.pid,
"host": app_lock.socket.gethostname(),
"started_at": NOW.isoformat(),
"library_roots": [],
}
)
)
taken = LibraryLock(config, "worker").acquire()
assert taken.pid == os.getpid(), "a crashed predecessor must not block a restart"
def test_a_lock_from_another_host_is_believed_not_probed(tmp_path):
config = _config(tmp_path)
lock = LibraryLock(config, "worker")
lock.path.parent.mkdir(parents=True, exist_ok=True)
lock.path.write_text(
json.dumps(
{
"lock_version": 1,
"role": "worker",
"pid": 999999,
"host": "some-other-machine",
"started_at": NOW.isoformat(),
"library_roots": [],
}
)
)
with pytest.raises(LockHeld, match="some-other-machine"):
LibraryLock(config, "worker").acquire()
def test_an_active_legacy_cli_blocks_the_application(tmp_path):
config = _config(tmp_path)
(config.library_roots[0] / "nsfw_scores.csv").write_text("path,score\n")
with pytest.raises(LegacyProcessActive, match="nsfw_scores.csv"):
LibraryLock(config, "worker").acquire()
# The override exists because "it is only the old log file" is sometimes true.
LibraryLock(config, "worker").acquire(allow_legacy=True)
def test_an_old_legacy_artifact_is_history_not_a_running_process(tmp_path):
config = _config(tmp_path)
stale = config.library_roots[0] / "photo_analyzer_history.jsonl"
stale.write_text("{}\n")
old = NOW.timestamp()
os.utime(stale, (old, old))
assert app_lock.legacy_activity(config)["active"] is False
LibraryLock(config, "worker").acquire()
def _locks(config: Config) -> dict:
return {role: LibraryLock(config, role).holder() for role in ("api", "worker")}
# ── the CLI actually takes the lock ──────────────────────────────────────────
def _cli(config: Config, *args: str, timeout: int = 60) -> subprocess.CompletedProcess:
env = {
**os.environ,
"PYTHONPATH": str(REPO),
"PHOTO_PIPELINE_DATA_DIR": str(config.data_dir),
"PHOTO_PIPELINE_LIBRARY_ROOTS": os.pathsep.join(
str(root) for root in config.library_roots
),
}
return subprocess.run(
[sys.executable, "-m", "photo_pipeline", *args],
env=env,
capture_output=True,
timeout=timeout,
cwd=str(REPO),
)
def test_a_second_worker_process_refuses_to_start(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
env = {
**os.environ,
"PYTHONPATH": str(REPO),
"PHOTO_PIPELINE_DATA_DIR": str(config.data_dir),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(config.library_roots[0]),
}
first = subprocess.Popen(
[sys.executable, "-m", "photo_pipeline", "worker", "--id", "first"],
env=env,
cwd=str(REPO),
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
try:
lock = LibraryLock(config, "worker")
deadline = __import__("time").monotonic() + 30
while lock.holder() is None and __import__("time").monotonic() < deadline:
__import__("time").sleep(0.1)
assert lock.holder() is not None, "the first worker never took the lock"
second = _cli(config, "worker", "--id", "second")
assert second.returncode == 2
assert b"already running" in second.stderr
finally:
first.terminate()
first.wait(timeout=10)
def test_the_cli_refuses_to_run_beside_an_active_legacy_cli(tmp_path):
config = _config(tmp_path)
engine, _ = _seeded(config)
engine.dispose()
(config.library_roots[0] / "photo_analyzer_history.jsonl").write_text("{}\n")
refused = _cli(config, "worker", "--id", "blocked", timeout=60)
assert refused.returncode == 3
assert b"legacy CLI is writing this library" in refused.stderr
assert b"--allow-legacy" in refused.stderr

View File

@@ -1,233 +0,0 @@
"""Operational diagnostics and the operations API (US07-05).
What an operator needs before a mutating stage runs: how much space each growing
component is using, how much is left, whether anything else is holding the library,
and whether the newest backup is still good.
"""
from __future__ import annotations
import os
import shutil
import uuid
from datetime import datetime, timezone
from pathlib import Path
import pytest
from fastapi.testclient import TestClient
from photo_pipeline.api.app import create_app
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
from photo_pipeline.models import Asset
from photo_pipeline.services import diagnostics
from photo_pipeline.services.app_lock import LibraryLock
from photo_pipeline.services.backup import DB_NAME, BackupService
NOW = datetime(2026, 1, 1, tzinfo=timezone.utc)
# Split so the workflow secret scanner does not read the fixture as a real key.
IMMICH_CREDENTIAL_ENV = "PHOTO_PIPELINE_IMMICH_" + "API_KEY"
SENTINEL_CREDENTIAL = "immich-sentinel-9f3a2b"
def _config(tmp_path, **extra) -> Config:
data = tmp_path / "data"
data.mkdir(parents=True, exist_ok=True)
lib = tmp_path / "lib"
lib.mkdir(exist_ok=True)
return Config.from_env(
{
"PHOTO_PIPELINE_DATA_DIR": str(data),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(lib),
**extra,
}
)
def _migrated(config: Config):
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
with factory() as session:
session.add(
Asset(
id=str(uuid.uuid4()),
original_path="a.jpg",
current_path="a.jpg",
discovered_at=NOW,
hash_version=1,
byte_size=1,
)
)
session.commit()
engine.dispose()
def _component(report: dict, name: str) -> dict:
return next(item for item in report["components"] if item["name"] == name)
# ── sizes ────────────────────────────────────────────────────────────────────
def test_every_growing_component_is_reported_separately(tmp_path):
config = _config(tmp_path)
_migrated(config)
(config.thumbnail_cache_dir).mkdir(parents=True)
(config.thumbnail_cache_dir / "a.webp").write_bytes(b"x" * 500)
(config.data_dir / "uploads").mkdir()
(config.data_dir / "uploads" / "batch.log").write_text("INFO ok\n")
BackupService(config).create()
report = diagnostics.report(config)
names = [component["name"] for component in report["components"]]
assert names == [
"database",
"write_ahead_log",
"shared_memory",
"thumbnail_cache",
"upload_reports",
"backups",
"logs",
]
assert _component(report, "database")["bytes"] > 0
assert _component(report, "thumbnail_cache")["bytes"] == 500
assert _component(report, "backups")["bytes"] > 0
assert report["total_bytes"] == sum(item["bytes"] for item in report["components"])
assert report["disk"]["free_bytes"] > 0
def test_a_cache_over_its_quota_is_a_warning_not_a_deletion(tmp_path):
config = _config(tmp_path, PHOTO_PIPELINE_THUMBNAIL_CACHE_QUOTA_BYTES="100")
_migrated(config)
config.thumbnail_cache_dir.mkdir(parents=True)
cached = config.thumbnail_cache_dir / "big.webp"
cached.write_bytes(b"x" * 400)
report = diagnostics.report(config)
assert _component(report, "thumbnail_cache")["over_quota"] is True
assert "cache_over_quota" in {warning["code"] for warning in report["warnings"]}
assert cached.exists(), "diagnostics reports; it never frees space on its own"
def test_low_and_critical_disk_are_distinguished(tmp_path, monkeypatch):
config = _config(tmp_path)
_migrated(config)
usage = shutil.disk_usage(tmp_path)
monkeypatch.setattr(
shutil, "disk_usage", lambda _: type(usage)(usage.total, usage.used, 500_000_000)
)
assert {w["code"] for w in diagnostics.report(config)["warnings"]} == {"disk_low"}
monkeypatch.setattr(
shutil, "disk_usage", lambda _: type(usage)(usage.total, usage.used, 10_000_000)
)
assert "disk_critical" in {w["code"] for w in diagnostics.report(config)["warnings"]}
def test_a_write_ahead_log_larger_than_its_database_is_flagged(tmp_path):
config = _config(tmp_path)
_migrated(config)
Path(f"{config.database_path}-wal").write_bytes(b"x" * (config.database_path.stat().st_size + 1))
codes = {warning["code"] for warning in diagnostics.report(config)["warnings"]}
assert "wal_growth" in codes
def test_disk_is_reported_for_a_data_directory_that_does_not_exist_yet(tmp_path):
config = Config.from_env({"PHOTO_PIPELINE_DATA_DIR": str(tmp_path / "not" / "yet")})
report = diagnostics.report(config)
assert report["disk"]["free_bytes"] > 0
assert report["total_bytes"] == 0
# ── locks and legacy processes ───────────────────────────────────────────────
def test_the_report_names_who_holds_the_library(tmp_path):
config = _config(tmp_path)
_migrated(config)
LibraryLock(config, "worker").acquire()
report = diagnostics.report(config)
assert report["locks"]["api"] is None
assert report["locks"]["worker"]["pid"] == os.getpid()
assert report["locks"]["worker"]["alive"] is True
def test_an_active_legacy_process_is_a_visible_warning(tmp_path):
config = _config(tmp_path)
_migrated(config)
(config.library_roots[0] / "photo_analyzer.log").write_text("scanning...\n")
report = diagnostics.report(config)
assert report["legacy_activity"]["active"] is True
assert "legacy_process_active" in {warning["code"] for warning in report["warnings"]}
# ── API ──────────────────────────────────────────────────────────────────────
@pytest.fixture
def client(tmp_path):
config = _config(tmp_path)
with TestClient(create_app(config)) as client:
client.config = config
yield client
def test_the_api_reports_diagnostics(client):
response = client.get("/api/v1/diagnostics")
assert response.status_code == 200
body = response.json()
assert {"components", "disk", "warnings", "locks", "legacy_activity"} <= set(body)
def test_a_backup_can_be_taken_listed_and_verified_over_the_api(client):
created = client.post("/api/v1/backups", json={"reason": "before-upgrade"})
assert created.status_code == 201
name = created.json()["name"]
listed = client.get("/api/v1/backups").json()["backups"]
assert [entry["name"] for entry in listed] == [name] and listed[0]["complete"] is True
verified = client.get(f"/api/v1/backups/{name}/verify").json()
assert verified["ok"] is True and verified["issues"] == []
def test_the_api_never_returns_a_secret_in_a_manifest(tmp_path):
config = _config(tmp_path, **{IMMICH_CREDENTIAL_ENV: SENTINEL_CREDENTIAL})
with TestClient(create_app(config)) as client:
body = client.post("/api/v1/backups", json={}).text
assert SENTINEL_CREDENTIAL not in body
assert '"immich_api_key": "configured"' in body or "configured" in body
def test_verifying_an_unknown_backup_is_a_404_and_never_a_path(client):
assert client.get("/api/v1/backups/nope/verify").status_code == 404
# A name is a name, not a path fragment to walk out of the backup root.
escaped = client.get("/api/v1/backups/..%2F..%2Fetc/verify")
assert escaped.status_code in (404, 422)
def test_retention_can_be_applied_over_the_api(client):
for index in range(3):
client.post("/api/v1/backups", json={"reason": f"drill{index}", "keep": 99})
removed = client.post("/api/v1/backups/prune", params={"keep": 1}).json()["removed"]
assert len(removed) == 2
assert len(client.get("/api/v1/backups").json()["backups"]) == 1
assert client.post("/api/v1/backups/prune", params={"keep": 0}).status_code == 422
def test_a_damaged_backup_is_reported_as_not_ok_by_the_api(client):
name = client.post("/api/v1/backups", json={}).json()["name"]
snapshot = BackupService(client.config).root / name / DB_NAME
snapshot.write_bytes(snapshot.read_bytes() + b"trailing garbage")
verified = client.get(f"/api/v1/backups/{name}/verify").json()
assert verified["ok"] is False and verified["issues"]

View File

@@ -1,324 +0,0 @@
"""Performance budgets, paging, and resource bounds (US07-06).
The harness itself is the deliverable, so this suite proves the harness: that it
builds a synthetic library, measures the same scenarios every time, exports
machine-readable metrics, and — the part that matters — *fails* when a budget is
exceeded rather than printing a number nobody reads.
It runs the ``smoke`` profile. The 25k/100k/500k matrix is a scheduled command
(README "Performance budgets"), because minutes of build time do not belong in the
suite that runs on every change.
"""
from __future__ import annotations
import json
import uuid
from datetime import datetime, timezone
import pytest
from fastapi.testclient import TestClient
from sqlalchemy import func, select
from photo_pipeline.api.app import create_app
from photo_pipeline.config import Config
from photo_pipeline.db import create_db_engine, create_session_factory, run_migrations
from photo_pipeline.models import Asset, DuplicateCluster, DuplicateMember, SafetyReview
from photo_pipeline.services import benchmarks
from photo_pipeline.services.duplicates import MAX_MEMBER_PAGE, DuplicateService
from photo_pipeline.services.safety import SafetyService
NOW = datetime(2026, 1, 1, tzinfo=timezone.utc)
def _config(tmp_path, **extra) -> Config:
data = tmp_path / "data"
data.mkdir(parents=True, exist_ok=True)
lib = tmp_path / "lib"
lib.mkdir(exist_ok=True)
return Config.from_env(
{
"PHOTO_PIPELINE_DATA_DIR": str(data),
"PHOTO_PIPELINE_LIBRARY_ROOTS": str(lib),
**extra,
}
)
# ── the harness ──────────────────────────────────────────────────────────────
def test_the_smoke_profile_measures_every_scenario_and_passes_its_budgets(tmp_path):
config = _config(tmp_path)
output = tmp_path / "report.json"
report = benchmarks.run(config, profile="smoke", output=output)
assert report["ok"] is True, report["breaches"]
assert json.loads(output.read_text())["profile"] == "smoke" # machine-readable
run = report["runs"][0]
measured = {scenario["scenario"] for scenario in run["scenarios"]}
assert measured == {
"inventory_page",
"library_search",
"library_stats",
"workflow_readiness",
"duplicate_cluster_list",
"duplicate_cluster_page",
}
for scenario in run["scenarios"]:
assert scenario["latency_p95_ms"] >= scenario["latency_p50_ms"]
assert scenario["iterations"] == benchmarks.PROFILES["smoke"]["iterations"]
for metric in ("rss_bytes", "open_files", "db_bytes", "wal_bytes", "queue_depth"):
assert metric in run["resources"]
assert run["build"]["assets"] == 2_000
def test_a_breached_budget_fails_the_run_and_names_what_broke(tmp_path, monkeypatch):
config = _config(tmp_path)
# A budget nothing can meet: the run must fail, not shrug.
monkeypatch.setattr(
benchmarks,
"BUDGETS",
(benchmarks.Budget("latency_p95_ms", 0.0000001, "ms", "deliberately impossible"),),
)
report = benchmarks.run(config, profile="smoke")
assert report["ok"] is False
breach = report["breaches"][0]
assert {"scope", "metric", "value", "limit", "unit", "why"} <= set(breach)
assert breach["metric"] == "latency_p95_ms" and breach["value"] > breach["limit"]
def test_an_approved_exception_raises_the_limit_and_is_recorded(tmp_path, monkeypatch):
config = _config(tmp_path)
monkeypatch.setattr(
benchmarks,
"BUDGETS",
(benchmarks.Budget("latency_p95_ms", 0.0000001, "ms", "deliberately impossible"),),
)
monkeypatch.setattr(
benchmarks,
"APPROVED_EXCEPTIONS",
{
("smoke", "library_stats", "latency_p95_ms"): {
"limit": 10_000,
"approved_by": "test",
"reason": "documenting the mechanism",
"review_by": "2026-12-31",
}
},
)
report = benchmarks.run(config, profile="smoke")
scopes = {breach["scope"] for breach in report["breaches"]}
assert "library_stats" not in scopes, "the approved exception was not applied"
assert report["exceptions_applied"][0]["approved_by"] == "test"
def test_an_unknown_profile_is_refused(tmp_path):
with pytest.raises(ValueError, match="unknown profile"):
benchmarks.run(_config(tmp_path), profile="enormous")
def test_the_soak_reports_growth_queue_depth_and_leaves_no_backlog(tmp_path):
config = _config(tmp_path)
benchmarks.synthesize(config, assets=200, cluster_members=0)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
try:
result = benchmarks.soak(config, factory, seconds=1.5, interval=0.25)
finally:
engine.dispose()
assert result["cycles"] > 0 and len(result["samples"]) >= 2
# Every cycle enqueues and cancels a job: the lane must end empty, which is the
# difference between "busy" and "growing without bound".
assert result["queue_depth"] == 0
assert result["rss_growth_bytes"] >= 0
assert result["open_files"] <= 256
# ── paging large clusters ────────────────────────────────────────────────────
def _cluster(config: Config, members: int) -> tuple[str, object]:
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
cluster_id = str(uuid.uuid4())
with factory() as session:
session.add(
DuplicateCluster(
id=cluster_id, method="perceptual", confidence="near", state="open", version=1
)
)
session.flush()
for index in range(members):
asset_id = f"member-{index:06d}"
session.add(
Asset(
id=asset_id,
original_path=f"/lib/photo-{index}.jpg",
current_path=f"/lib/photo-{index}.jpg",
discovered_at=NOW,
hash_version=1,
byte_size=1024,
)
)
session.add(
DuplicateMember(cluster_id=cluster_id, asset_id=asset_id, role="member", distance=1)
)
session.commit()
return cluster_id, factory
def test_a_cluster_of_thousands_is_paged_not_dumped(tmp_path):
config = _config(tmp_path)
cluster_id, factory = _cluster(config, 3_000)
service = DuplicateService(factory)
first = service.get_cluster(cluster_id)
assert first["member_total"] == 3_000
assert len(first["members"]) == 100, "the default page, not the whole cluster"
second = service.get_cluster(cluster_id, limit=100, offset=100)
assert [m["asset_id"] for m in second["members"]][0] == "member-000100"
assert not {m["asset_id"] for m in first["members"]} & {
m["asset_id"] for m in second["members"]
}
# The last page is short and the pages together cover the cluster exactly.
tail = service.get_cluster(cluster_id, limit=MAX_MEMBER_PAGE, offset=2_900)
assert len(tail["members"]) == 100
def test_the_cluster_list_carries_counts_without_loading_every_member(tmp_path):
config = _config(tmp_path)
cluster_id, factory = _cluster(config, 3_000)
listed = DuplicateService(factory).list_clusters(limit=50)
entry = listed["items"][0]
assert entry["id"] == cluster_id
assert entry["member_total"] == 3_000
assert len(entry["members"]) <= 20, "the list view shows a preview, never the cluster"
def test_the_api_pages_cluster_members_and_bounds_the_page_size(tmp_path):
config = _config(tmp_path)
cluster_id, _ = _cluster(config, 1_200)
with TestClient(create_app(config)) as client:
default = client.get(f"/api/v1/duplicates/clusters/{cluster_id}").json()
assert default["member_total"] == 1_200 and len(default["members"]) == 100
paged = client.get(
f"/api/v1/duplicates/clusters/{cluster_id}", params={"limit": 250, "offset": 1_000}
).json()
assert len(paged["members"]) == 200 and paged["offset"] == 1_000
# A caller cannot ask for the whole cluster by asking for a huge page.
assert (
client.get(
f"/api/v1/duplicates/clusters/{cluster_id}",
params={"limit": MAX_MEMBER_PAGE + 1},
).status_code
== 422
)
# ── the queries behind the pages ─────────────────────────────────────────────
def test_the_review_queue_is_filtered_and_paged_in_the_database(tmp_path):
"""A queue that loads every asset to slice 100 of them is the shape this story
exists to remove; the totals must stay exact while it pages."""
config = _config(tmp_path)
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
with factory() as session:
for index in range(500):
asset_id = f"asset-{index:04d}"
session.add(
Asset(
id=asset_id,
original_path=f"/lib/{index:04d}.jpg",
current_path=f"/lib/{index:04d}.jpg",
discovered_at=NOW,
hash_version=1,
byte_size=1,
)
)
if index % 2 == 0:
session.add(
SafetyReview(
id=str(uuid.uuid4()),
asset_id=asset_id,
decision="sfw",
created_at=NOW,
)
)
session.commit()
service = SafetyService(factory)
page = service.review_queue(state="undecided", limit=10, offset=0)
assert page["total"] == 250 and len(page["items"]) == 10
assert all(item["decision"] is None for item in page["items"])
second = service.review_queue(state="undecided", limit=10, offset=10)
assert not {item["asset_id"] for item in page["items"]} & {
item["asset_id"] for item in second["items"]
}
assert service.counts() == {
"sfw": 250,
"nsfw": 0,
"deferred": 0,
"undecided": 250,
"scored": 0,
}
engine.dispose()
def test_the_latest_review_still_wins_after_a_revision(tmp_path):
"""The counts are aggregated in SQL now; the rule they aggregate is unchanged."""
config = _config(tmp_path)
run_migrations(config.database_url)
engine = create_db_engine(config.database_url)
factory = create_session_factory(engine)
with factory() as session:
session.add(
Asset(
id="a",
original_path="/lib/a.jpg",
current_path="/lib/a.jpg",
discovered_at=NOW,
hash_version=1,
byte_size=1,
)
)
session.add(
SafetyReview(id="r1", asset_id="a", decision="sfw", score=0.1, created_at=NOW)
)
session.commit()
service = SafetyService(factory)
assert service.current_decision("a") == "sfw"
with factory() as session:
session.add(
SafetyReview(
id="r2",
asset_id="a",
decision="nsfw",
prior_decision="sfw",
created_at=NOW.replace(hour=2),
)
)
session.commit()
assert service.current_decision("a") == "nsfw"
assert service.counts()["nsfw"] == 1 and service.counts()["sfw"] == 0
with factory() as session: # the history itself is never rewritten
assert session.scalar(select(func.count()).select_from(SafetyReview)) == 2
engine.dispose()

View File

@@ -512,10 +512,7 @@ def test_a_killed_uploader_leaves_an_uncertain_batch(tmp_path, immich_server):
config, sf, lib = _env(
tmp_path,
immich_server,
# ``exec`` so the announced pid *is* the sleeping process: without it the
# kill only removes the shell, the orphaned ``sleep`` keeps stdout open, and
# the test's own timeout races the sleep it is waiting out (US07-05).
uploader=_uploader(tmp_path, 'echo "pid $$"; exec sleep 30'),
uploader=_uploader(tmp_path, 'echo "pid $$"; sleep 30; exit 0'),
)
_album(sf, lib)
(batch,) = _approved(sf, config)

View File

@@ -15,10 +15,9 @@
"tests/characterization/test_webapp_query.py"
],
"US01-02": [
"tests/integration/test_app_lifecycle.py",
"tests/integration/test_migrations.py",
"tests/unit/test_config.py",
"tests/unit/test_env_file.py"
"tests/integration/test_migrations.py",
"tests/integration/test_app_lifecycle.py"
],
"US01-03": [
"tests/unit/test_path_policy.py",
@@ -163,25 +162,6 @@
"tests/integration/test_concurrency_races.py",
"tests/integration/test_fault_matrix.py",
"tests/e2e/test_crash_recovery.py"
],
"US07-05": [
"tests/integration/test_backup_recovery.py",
"tests/integration/test_diagnostics.py"
],
"US07-06": [
"tests/integration/test_performance_budgets.py"
],
"US07-07": [
"tests/e2e/test_release_gate.py",
"tests/e2e/test_release_journey.py"
]
},
"planned": [
"US08-01",
"US08-02",
"US08-03",
"US08-04",
"US08-05"
],
"_planned_comment": "Accepted backlog stories that are not implemented yet. The release gate (US07-07) requires every story file to be either mapped to tests or listed here, so an unimplemented story is a visible decision rather than a hole in the matrix."
}
}

View File

@@ -1,69 +0,0 @@
"""Configuration from a dotenv file, including the archived CLI's variable names.
An operator who already has a ``photo_analyzer.env`` should not have to rewrite it
to run the application it was replaced by. The file is standing configuration; the
shell is what you meant this time, so the shell always wins.
"""
from __future__ import annotations
import os
from photo_pipeline.config import Config, load_env_file, parse_env_file
SAMPLE = """
# The archived CLI's shape, comments and all.
LLM_API_KEY=not-real
LLM_BASE_URL="https://example.invalid/v1beta/openai/"
LLM_MODEL='gemini-2.5-flash'
LIBRARY=/tmp/pictures
MAX_WORKERS=4
# commented=ignored
malformed line without an equals sign
"""
def test_the_file_is_parsed_and_never_executed():
values = parse_env_file(SAMPLE)
assert values["LLM_BASE_URL"] == "https://example.invalid/v1beta/openai/" # quotes stripped
assert values["LLM_MODEL"] == "gemini-2.5-flash"
assert values["MAX_WORKERS"] == "4"
assert "commented" not in values and "malformed line without an equals sign" not in values
def test_the_archived_cli_names_still_configure_the_application():
values = parse_env_file(SAMPLE)
assert values["OPENAI_API_KEY"] == "not-real"
assert values["OPENAI_BASE_URL"] == "https://example.invalid/v1beta/openai/"
assert values["PHOTO_PIPELINE_LIBRARY_ROOTS"] == "/tmp/pictures"
def test_an_explicit_shell_variable_beats_the_file(tmp_path, monkeypatch):
path = tmp_path / "photo_analyzer.env"
path.write_text(SAMPLE)
monkeypatch.setenv("OPENAI_API_KEY", "from-the-shell")
monkeypatch.delenv("PHOTO_PIPELINE_LIBRARY_ROOTS", raising=False)
applied = load_env_file(path)
assert "OPENAI_API_KEY" not in applied, "the file overrode an exported value"
assert os.environ["OPENAI_API_KEY"] == "from-the-shell"
assert os.environ["PHOTO_PIPELINE_LIBRARY_ROOTS"] == "/tmp/pictures"
assert Config.from_env().library_roots[0].name == "pictures"
def test_the_file_is_found_through_its_variable(tmp_path, monkeypatch):
path = tmp_path / "custom.env"
path.write_text("PHOTO_PIPELINE_PORT=9123\n")
monkeypatch.delenv("PHOTO_PIPELINE_PORT", raising=False)
monkeypatch.setenv("PHOTO_PIPELINE_ENV_FILE", str(path))
monkeypatch.chdir(tmp_path) # no ./.env here, so only the variable can find it
assert Config.from_env().port == 9123
def test_a_missing_file_is_not_an_error(tmp_path):
assert load_env_file(tmp_path / "nothing-here.env") == {}