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327 changed files with 397 additions and 54154 deletions
+1 -6
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@@ -5,21 +5,16 @@
"py3.10 on ubuntu-latest",
"py3.11 on ubuntu-latest",
"py3.12 on ubuntu-latest",
"py3.13 on ubuntu-latest",
"py3.10 on windows-latest",
"py3.11 on windows-latest",
"py3.12 on windows-latest",
"py3.13 on windows-latest",
"py3.10 on macos-latest",
"py3.11 on macos-latest",
"py3.12 on macos-latest",
"py3.13 on macos-latest",
"coverage gate (85%)",
"black and flake8",
"frontend modules",
"viewerjs",
"real ComfyUI compatibility",
"bandit (high severity)"
"viewerjs"
]
},
"enforce_admins": true,
+36 -13
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@@ -9,15 +9,42 @@ on:
pull_request:
branches: [main]
# Superseded PR pushes cancel their older run. Every main push gets its own
# group (run_id), so no main commit's run is ever cancelled or dropped as pending.
concurrency:
group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.ref || github.run_id }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- name: Set up Python 3.10
uses: actions/setup-python@v7
with:
python-version: "3.10"
- name: Cache pip dependencies
uses: actions/cache@v6
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-quality-${{ hashFiles('requirements-dev.txt') }}
restore-keys: |
${{ runner.os }}-pip-quality-
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements-dev.txt
- name: Check formatting with Black
run: black --check --diff .
- name: Lint with flake8
run: |
# Fail on syntax errors and undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# Warnings as non-blocking
flake8 . --count --exit-zero --max-line-length=88 --statistics --exclude=reference/,.git,__pycache__,web/
security:
name: bandit (high severity)
runs-on: ubuntu-latest
steps:
@@ -31,9 +58,5 @@ jobs:
- name: Install bandit
run: pip install bandit[toml]
# Medium findings are reported without failing until they are triaged.
# High severity is a hard gate.
- name: Security report (medium and above, informational)
run: bandit -r . -ll -q --exclude ./tests,./reference,./venv,./tools/vendor/node_modules --exit-zero
- name: Security scan (high severity gate)
run: bandit -r . -lll -q --exclude ./tests,./reference,./venv,./tools/vendor/node_modules
- name: Security scan
run: bandit -r . -ll --exclude=./tests,./reference,./venv -q || true
+2 -101
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@@ -9,15 +9,6 @@ on:
push:
branches: [main]
# Superseded PR pushes cancel their older run. Every main push gets its own
# group (run_id), so no main commit's run is ever cancelled or dropped as pending.
concurrency:
group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.ref || github.run_id }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
env:
PYTHONFAULTHANDLER: "1"
jobs:
test:
name: py${{ matrix.python-version }} on ${{ matrix.os }}
@@ -26,7 +17,7 @@ jobs:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
python-version: ["3.10", "3.11", "3.12", "3.13"]
python-version: ["3.10", "3.11", "3.12"]
steps:
- uses: actions/checkout@v7
@@ -46,83 +37,6 @@ jobs:
- name: Run tests
run: python -m unittest discover -s tests -v
comfyui:
name: real ComfyUI compatibility
runs-on: ubuntu-latest
timeout-minutes: 25
steps:
- uses: actions/checkout@v7
with:
persist-credentials: false
- uses: actions/setup-node@v7
with:
node-version: "24"
cache: npm
cache-dependency-path: tools/vendor/package-lock.json
- name: Read the reviewed runtime pins
id: runtime
run: |
node --input-type=module <<'JS' >> "$GITHUB_OUTPUT"
import runtime from './tools/vendor/comfyui-runtime.json' with { type: 'json' };
for (const [key, value] of Object.entries(runtime)) console.log(`${key}=${value}`);
import crossPack from './tools/vendor/cross-pack-runtime.json' with { type: 'json' };
console.log(`kikoRepository=${crossPack.repository}`);
console.log(`kikoRevision=${crossPack.revision}`);
JS
- name: Check out pinned ComfyUI
uses: actions/checkout@v7
with:
repository: ${{ steps.runtime.outputs.repository }}
ref: ${{ steps.runtime.outputs.revision }}
path: .ci-comfyui
persist-credentials: false
- name: Check out pinned KikoTools for compatibility
uses: actions/checkout@v7
with:
repository: ${{ steps.runtime.outputs.kikoRepository }}
ref: ${{ steps.runtime.outputs.kikoRevision }}
path: .ci-kikotools
persist-credentials: false
- uses: actions/setup-python@v7
with:
python-version: ${{ steps.runtime.outputs.pythonVersion }}
cache: pip
cache-dependency-path: |
requirements-dev.txt
.ci-comfyui/requirements.txt
tools/vendor/comfyui-runtime.json
- name: Install CPU runtime and test dependencies
run: |
python -m pip install --upgrade pip
pip install "torch==${{ steps.runtime.outputs.torchVersion }}" "torchvision==${{ steps.runtime.outputs.torchvisionVersion }}" --index-url https://download.pytorch.org/whl/cpu
pip install -r .ci-comfyui/requirements.txt -r requirements-dev.txt "torch==${{ steps.runtime.outputs.torchVersion }}" "torchvision==${{ steps.runtime.outputs.torchvisionVersion }}"
- run: npm ci --prefix tools/vendor --ignore-scripts
- run: npx --prefix tools/vendor playwright install --with-deps chromium
- name: Classic and Nodes 2.0 startup and compatibility
env:
PM_COMFY_ROOT: ${{ github.workspace }}/.ci-comfyui
PM_TEST_PYTHON: python
run: npm run --prefix tools/vendor test:comfyui
- name: Real cached and headless execution history
env:
PM_COMFY_ROOT: ${{ github.workspace }}/.ci-comfyui
PM_TEST_PYTHON: python
run: npm run --prefix tools/vendor test:executions
- name: Independent and combined pack compatibility
env:
PM_COMFY_ROOT: ${{ github.workspace }}/.ci-comfyui
PM_KIKO_ROOT: ${{ github.workspace }}/.ci-kikotools
PM_TEST_PYTHON: python
run: npm run --prefix tools/vendor test:compat
- name: Upload real-host reports and startup logs
if: always()
uses: actions/upload-artifact@v7
with:
name: real-comfyui-reports
path: tools/vendor/test-results/
if-no-files-found: ignore
retention-days: 14
coverage:
name: coverage gate (85%)
runs-on: ubuntu-latest
@@ -164,19 +78,6 @@ jobs:
steps:
- uses: actions/checkout@v7
- uses: actions/setup-node@v7
with:
node-version: "24"
- name: Check shipped extension and page modules parse
run: |
shopt -s globstar nullglob
for f in web/comfy/**/*.js web/comfy/**/*.mjs web/js/**/*.js web/js/**/*.mjs; do
node --input-type=module --check < "$f" || exit 1
done
- name: Install pinned shared test contracts
run: npm ci --prefix tools/vendor --ignore-scripts
# Pure-JS frontend modules, tested with the runner's preinstalled Node
- name: Run JS tests
run: node --test tests/js/*.test.js
+6 -62
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@@ -10,17 +10,10 @@ on:
permissions:
contents: read
# Superseded PR pushes cancel their older run. Every main push gets its own
# group (run_id), so no main commit's run is ever cancelled or dropped as pending.
concurrency:
group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.ref || github.run_id }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
frontend-coverage:
name: frontend coverage (chromium and touch)
viewerjs:
runs-on: ubuntu-latest
timeout-minutes: 25
timeout-minutes: 15
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v7
@@ -37,10 +30,12 @@ jobs:
- run: npm ci --prefix tools/vendor --ignore-scripts
- run: npm run --prefix tools/vendor check
- run: npm run --prefix tools/vendor test
- run: npx --prefix tools/vendor playwright install --with-deps chromium
- run: npx --prefix tools/vendor playwright install --with-deps chromium firefox webkit
- name: Frontend unit, viewer, workflow, and coverage checks
run: npm run --prefix tools/vendor test:coverage
- name: Upload frontend coverage and Chromium traces
- name: Firefox and WebKit page workflows
run: npm run --prefix tools/vendor test:workflows -- --project firefox --project webkit
- name: Upload browser traces and frontend coverage
if: always()
uses: actions/upload-artifact@v7
with:
@@ -50,54 +45,3 @@ jobs:
coverage/js/
!coverage/js/raw/**
retention-days: 14
browser-workflows:
name: page workflows (${{ matrix.browser }})
runs-on: ubuntu-latest
timeout-minutes: 25
strategy:
fail-fast: false
matrix:
browser: [firefox, webkit]
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v7
with:
python-version: '3.12'
cache: pip
cache-dependency-path: requirements-dev.txt
- run: python -m pip install -r requirements-dev.txt
- uses: actions/setup-node@v7
with:
node-version: '24'
cache: npm
cache-dependency-path: tools/vendor/package-lock.json
- run: npm ci --prefix tools/vendor --ignore-scripts
- run: npx --prefix tools/vendor playwright install --with-deps ${{ matrix.browser }}
- name: Page workflows in ${{ matrix.browser }}
run: npm run --prefix tools/vendor test:workflows -- --project ${{ matrix.browser }}
- name: Upload browser traces
if: always()
uses: actions/upload-artifact@v7
with:
name: browser-traces-${{ matrix.browser }}
path: tools/vendor/test-results/
retention-days: 14
# Branch protection requires the exact context "viewerjs". This job keeps that
# name and fails unless every frontend job above succeeded, including when one
# was cancelled or skipped.
viewerjs:
needs: [frontend-coverage, browser-workflows]
if: always()
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- name: Require every frontend job to succeed
env:
COVERAGE_RESULT: ${{ needs.frontend-coverage.result }}
WORKFLOWS_RESULT: ${{ needs.browser-workflows.result }}
run: |
echo "frontend-coverage: $COVERAGE_RESULT"
echo "browser-workflows: $WORKFLOWS_RESULT"
test "$COVERAGE_RESULT" = success && test "$WORKFLOWS_RESULT" = success
-3
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@@ -208,6 +208,3 @@ playwright-report/
# Combined frontend coverage reports
coverage/
# Disposable upstream checkout for real-host CI
.ci-comfyui/
+2 -54
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@@ -142,32 +142,6 @@ _Powered by [ViewerJS](https://github.com/fengyuanchen/viewerjs) for professiona
Viewer.js is vendored locally. See [Viewer.js maintenance](tools/vendor/README.md)
for reproducible updates, verification, and automated update PRs.
Prompt Manager appears as **Prompt Manager (Classic)** in the Add Node menu.
It keeps the existing layout and behavior while using shared
[ComfyAssets Toolkit](https://github.com/ComfyAssets/ComfyAssets-Toolkit) controls
that follow ComfyUI's light/dark theme. Existing workflows keep the same internal
node identifier and sockets. The reusable architecture is inspired by
[Pixaroma](https://github.com/pixaroma/ComfyUI-Pixaroma); no implementation or assets
were copied. See the [toolkit maintenance notes](tools/vendor/README.md#shared-comfyassets-browser-controls).
**Prompt Manager (Focused)** adds an editor-first layout with collapsible
composition and metadata fields. Open **Browse library** to search saved prompts,
filter by saved category and comma-separated tags, preview a selection, then choose
**Use prompt**; **Load metadata** controls whether
category and tags come with it. Metadata fields suggest saved categories and tags;
choose with the mouse or arrow keys and Enter. Tag selections append `, ` for the
next tag; category remains a single value. New values can still be typed freely.
Prepend and append STRING sockets remain visible
when the fields are collapsed, so LoRA trigger outputs can connect directly.
Encoding, storage, and CONDITIONING/text outputs match Classic. Both layouts
support ComfyUI Classic and Nodes 2.0.
**Prompt Manager (Split)** keeps the same editor and library visible together.
Wide nodes place the library beside the editor; narrow nodes stack the panels.
It shares Focused's category/tag autocomplete, search filters, preview-before-use,
workflow persistence, and connectable prepend/append inputs. Encoding and storage
match Classic and Focused.
### 🔬 ComfyUI Workflow Analysis
- **PNG Metadata Parsing**: Advanced PNG chunk analysis to extract embedded ComfyUI data
@@ -531,7 +505,7 @@ Keep your database optimized with built-in maintenance tools:
### Database Location
By default, the database is saved as `prompts.db` in the extension directory. It contains your prompt library and image links. See the [database path compatibility note](#database-path-compatibility-211) before upgrading a deployment with a custom path.
By default, the database is saved as `example_prompts.db` in the node directory. This file contains all your prompts and linked images and can be backed up or shared.
### Searching Prompts
@@ -773,32 +747,6 @@ Relative paths are resolved against the extension directory. Absolute paths are
}
```
### Database Path Compatibility (#211)
PromptManager now honors the `database.default_path` setting in `config.json`
when loaded as a ComfyUI custom node. Relative paths resolve against the extension
directory, not ComfyUI's working directory; absolute paths are used as-is. Earlier
versions could ignore this setting and use `<extension>/prompts.db` instead.
Honoring a different configured path can therefore show an empty or different
library. PromptManager does not automatically move or merge database files.
Before upgrading or changing this setting:
1. Identify the database your current installation actually uses and confirm its
library contents. Check both the configured path and the prior fallback
`<extension>/prompts.db`; keep track of which existing file you intend to use.
2. Preserve a consistent backup of the active database with the dashboard's
Backup/Restore backup action or SQLite's online backup API. Do not copy only
the main file of a live SQLite database: committed data may still be in its
`-wal` file. For a filesystem copy, stop ComfyUI cleanly first and preserve any
remaining `-wal` file together with the main database.
3. Set `database.default_path` to the existing intended database file. An absolute
path makes the selection explicit; do not move or overwrite either database
while choosing the path.
4. Restart ComfyUI, then verify that the expected library appears and the active
database path resolves to the file you selected. Keep the backup until both
checks succeed.
### Gallery & Monitoring Settings
Configure the automatic image detection and gallery system:
@@ -870,7 +818,7 @@ print(f"Average rating: {info['average_rating']}")
# Create backup
db.model.backup_database("backup_prompts.db")
# The online backup includes committed data still in the WAL.
# The database file can be copied directly for backup
```
## Development
+9 -424
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@@ -10,7 +10,6 @@ reviewed. Add a regression test for each bug; prove it fails before the fix.
| Python tests | Domain logic, SQLite, API handlers, filesystem checks | ComfyUI host and ML runtimes where needed |
| JavaScript tests | Frontend modules and controller methods | DOM/network fixtures for focused edge cases |
| Viewer checks | Production Viewer.js and frontend methods in Chromium desktop/touch | Controlled images and page fixtures |
| Real ComfyUI | Pinned CPU host, actual extension, node definitions, widgets, routes, SQLite and real execution lifecycle | Stock UI cases isolate host writes; the execution suite queues deterministic test-only nodes without models |
| Page workflows | Production HTML, startup, click handlers, HTTP routes, SQLite, PNG files, thumbnails | ComfyUI host services and the tagging model |
Page workflows cover save/edit/reload, duplicate-edit rejection, gallery image
@@ -45,49 +44,11 @@ or the port is occupied. Test servers are never reused. On unsupported Linux
distributions, browser system dependencies may need manual installation; CI uses
Ubuntu. For a quick browser run, use `test:workflows -- --project chromium`.
## Managed real ComfyUI
The shared engine comes from an exact commit of
[ComfyAssets Toolkit](https://github.com/ComfyAssets/ComfyAssets-Toolkit), recorded
in `tools/vendor/package.json` and its integrity-checked lockfile. The local
adapter sets PromptManager's database/configuration and monitoring policy;
source discovery, coverage mapping/gates and process lifecycle are shared code.
KikoTools remains the reference and is unchanged by this integration.
Use a **dedicated disposable** ComfyUI checkout at the revision in
`tools/vendor/comfyui-runtime.json`. With a separate Python environment, install
that checkout's requirements, this repo's `requirements-dev.txt`, and the exact
CPU torch/torchvision pins from the JSON (using PyTorch's CPU wheel index).
Install Chromium using the Playwright command above, then run:
```sh
PM_COMFY_ROOT=/path/to/disposable/ComfyUI \
PM_TEST_PYTHON=/path/to/cpu-env/bin/python \
npm run --prefix tools/vendor test:comfyui
```
CI performs this setup automatically. `PM_COMFY_URL` can select another
`http://127.0.0.1:PORT/` address (default port 8189). This is an owned managed
server: a running host is never reused. Do not point it at your live checkout.
The launcher verifies the upstream SHA and clean tracked files, snapshots only
tracked PromptManager files, and creates temporary user/input/output/database/
configuration/log directories. Personal untracked files are excluded. It runs
CPU/offline with only PromptManager enabled and removes owned state on shutdown.
The upstream checkout must also be disposable: ComfyUI may initialize local
runtime files there. Browser host-settings writes are intercepted; actual
PromptManager routes use the disposable host and database.
`real-comfyui-reports` retains startup logs, version attachments, screenshots and
traces for 14 days. Update upstream/frontend/CPU pins together after reviewing
and running both startup projects; never replace the SHA with a moving branch.
Update the toolkit via an exact reviewed commit archive and commit both npm
manifest and lockfile. No toolkit or npm installation is needed by end users.
## Coverage and failures
Python CI enforces 85% combined statement/branch coverage. Frontend coverage merges
Node V8 unit coverage with Chromium page-workflow coverage through c8. Every
`web/js/**/*.js` and `web/js/**/*.mjs` file appears, including untouched files at zero coverage. The
`web/js/*.js` file appears, including untouched files at zero coverage. The
controller tests provide V8 filenames so their executed code is counted too.
`tools/vendor/frontend-coverage-baseline.json` holds a floor for every file and
@@ -99,51 +60,18 @@ the baseline updater. Raise floors with `npm run --prefix tools/vendor
coverage:update`; it reruns the suites and cannot lower an existing floor.
Review baseline changes like code changes.
The `viewerjs` check runs on every PR, including backend-only changes. It is an
aggregate job that passes only when the `frontend coverage (chromium and touch)`
job and both `page workflows (firefox)` and `page workflows (webkit)` jobs
succeed; the browsers run on separate runners in parallel. GitHub artifacts
named `frontend-test-reports` contain HTML coverage, a JSON summary, and the
Chromium/touch failure screenshots/traces; `browser-traces-firefox` and
`browser-traces-webkit` hold the other browsers' traces. Open traces with
Playwright's `show-trace` tool.
The `viewerjs` check runs on every PR, including backend-only changes. GitHub
artifacts named `frontend-test-reports` contain HTML coverage, a JSON summary,
and failure screenshots/traces. Open traces with Playwright's `show-trace` tool.
The real-host suite covers both Classic and Nodes 2.0 startup, switching both
ways, actual database prompt selection, execution-text serialization, workflow
reload, widget/style cleanup, node schemas and standalone-page opening. It does
not certify every existing feature, arbitrary host versions,
GPU/model changes, cross-pack installation or visual design changes. Those still
need targeted validation.
## Windows portability preflight
Before changing paths, SQLite, streams, restore or cleanup:
- Follow the boundary's existing native canonical/identity contract;
`Path.resolve()` alone does not fold Windows case. Keep lexical aliases
distinct from resolved targets. Cover mixed case, drive and UNC spellings,
plus foreign-namespace denial with an allowed native control.
See Python's [normcase documentation](https://docs.python.org/3.13/library/os.path.html#os.path.normcase).
- Close every owned database/model connection, worker and stream handle before
unlink or `TemporaryDirectory.cleanup()`. Await worker/stream retirement.
A SQLite [`with conn` manages transactions, not connection closure](https://docs.python.org/3.13/library/sqlite3.html#how-to-use-the-connection-context-manager),
and [`addCleanup` runs after teardown](https://docs.python.org/3.13/library/unittest.html#unittest.TestCase.addCleanup);
use explicit `finally` cleanup when teardown removes files first.
- Windows can reject unlink of an open file; Unix can remove its directory entry
while the handle remains usable. Preserve the shared behavior assertions and
exercise the actual native branch, then prove handle release and successful
cleanup. Do not hide failures with blanket skips or retries.
See Python's [remove/unlink semantics](https://docs.python.org/3.13/library/os.html#os.remove).
- Run native Windows CI early for these changes and include a Windows impact and
evidence note in the PR. All twelve OS/Python combinations and every applicable
exact-head check must pass before merge. Portable `ntpath`/`PureWindowsPath`
controls do not establish native filesystem, locking or cleanup success.
Live checks remain useful for ComfyUI host compatibility, real inference/GPU or
model dependency changes, and visual design changes. The automated fixtures do
not certify those environments or every existing product feature.
## Required merge checks
`.github/branch-protection.json` records the required checks: all twelve Python/OS
combinations, Python coverage, formatting, frontend modules, `viewerjs`, `real ComfyUI compatibility`,
and `bandit (high severity)`.
`.github/branch-protection.json` records the required checks: all nine Python/OS
combinations, Python coverage, formatting, frontend modules, and `viewerjs`.
The branch must be current with main, and administrators follow the same checks.
It does not require an additional human approval.
@@ -158,346 +86,3 @@ gh api repos/ComfyAssets/ComfyUI_PromptManager/branches/main/protection/required
Update the manifest whenever required job names change. Keep the frontend check
free of path filters so a required check is never silently skipped.
## Unified workspace
The opt-in `/prompt_manager/workspace` page opens the native Images workspace.
Overview retains real `/prompt_manager/stats` counts. Both use the shipped toolkit. Existing admin, gallery and metadata URLs remain
available while replacement workspaces are developed. Browser smoke tests in
`tests/browser/workspace.spec.mjs` cover navigation/history, keyboard skip links,
mobile layout, theme persistence/fallback, loading/retry and stale responses.
The Images cases in `tests/browser/workspace-images.spec.mjs` additionally cover
server-side filters, cursor append/retry, Grid/List/Masonry, bounded DOM, keyboard
navigation, restored browsing context, Viewer.js cleanup and actual video playback.
`tests/test_api_workspace_images.py` checks signed cursors, source identities,
legacy compatibility and header-only dimensions. Frontend stream/layout units
cover cancellation, malformed responses and bounded visibility lookup. These run
automatically in the existing four-browser-project workflow and frontend coverage job. `tests/comfyui/workspace.spec.mjs` verifies the page against the
managed host with both renderer startup configurations.
The shared inline and collection inspector reads the current rooted file's supported
embedded records, exact generation facts and recorded or inferred prompt evidence.
`tests/browser/full-inspector.spec.mjs` covers original/metadata/workflow downloads,
response limits, source changes, nested sending, matched dark/light and mobile
geometry, and the loaded-collection viewer. The viewer never fetches another page
or preloads all originals. Its explicit slideshow waits 3.5 seconds after image
readiness, pauses at native video without advancing on `ended`, and resumes on a
manually selected image only while prior intent remains. Pause/Stop, inspector
reading/copy/download/send, hidden document, media failure, close, query/route
disposal and pagehide cancel that intent; returning visibility or closing the sender
does not resume it. Stop leaves native video playback alone. Video uses only the
existing normalized `gallerySettings` autoplay/mute/loop values, read without writes;
denied/malformed storage falls back to autoplay off, mute on and loop on. Rejected
autoplay keeps native controls usable.
The inspector does not establish historical file identity, infer run membership,
edit image tags, export all EXIF, or load/execute a workflow. Saved vocabulary is
labelled by its recipe or positive-prompt scope. Limited raw evidence is omitted
atomically, with JSON exports unavailable and the rooted original still downloadable.
The inspection API uses one bounded read (2 MiB aggregate metadata, 8 MiB non-PNG
header, 10,000 PNG chunks, three-second ffprobe, 500 graph nodes/semantic expansions,
64 link/JSON-container levels and an 8 MiB serialized response); retry does not raise
these limits. Installing the Python inspection/source-scope changes requires a
maintainer ComfyUI restart. Automated tests use disposable hosts and never restart
the running personal ComfyUI.
Run the focused page checks with:
```sh
npm run --prefix tools/vendor test:workflows -- workspace.spec.mjs workspace-images.spec.mjs
node --test tests/js/workspace-*.test.js
```
Use the disposable fixture and managed-host prerequisites above. A maintainer
live check needs a ComfyUI restart after adding the Python route, then opening
`/prompt_manager/workspace`; the mockup preview server is a separate design tool.
## Prompt sending and cross-pack compatibility
`tests/js/prompt-bridge-contracts.test.js` runs the Toolkit's shared protocol
contracts against the actual checked-in browser asset. Adapter and lifecycle
units cover role isolation, connected inputs, stale previews, callback recovery,
serialization normalization and cached-page restoration. Browser tab workflows
exercise real BroadcastChannel delivery; `tests/comfyui/prompt-bridge.spec.mjs`
checks the real widgets, execution serialization and renderer transitions.
The existing required real-ComfyUI job also runs `test:compat`: PromptManager
alone, pinned KikoTools alone and both together, each starting in Classic and
Nodes 2.0. It copies tracked source into disposable hosts, preserves independent
configuration and checks edits/reload with both packs present. KikoTools remains
on its current embedded foundation; this does not adopt the Toolkit in that pack.
For local runs, use a clean KikoTools checkout at the revision in
`tools/vendor/cross-pack-runtime.json`, plus the managed-host prerequisites above:
```sh
PM_COMFY_ROOT=/path/to/pinned/comfyui PM_KIKO_ROOT=/path/to/pinned/kikotools \
npm run --prefix tools/vendor test:compat
```
The compatibility runner reserves loopback ports 8193–8195; `PM_COMPAT_PORT`
selects another consecutive unprivileged range. Never run automated tests against
the maintainer's running ComfyUI. This JavaScript host extension needs a full
browser refresh after deployment; its first slice adds no gallery send controls.
### Workspace prompt inspection and sending
`tests/test_api_prompt_inspector.py` covers rooted physical-file identity,
execution/graph/parameter evidence, saved associations, ambiguity, empty negatives,
read-only behavior, bounded PNG/video metadata and corrupt inputs. Run it with
`python -m unittest discover -s tests -p test_api_prompt_inspector.py` in a disposable
checkout. `tests/js/prompt-inspector.test.js` and `prompt-sender.test.js` cover
request races, explicit destination selection, preview tickets and uncertain
acknowledgements. Browser workflows exercise the same controls in Images and
Viewer, including nested modal focus, mobile layouts and per-role sending.
`tests/comfyui/prompt-sender.spec.mjs` sends through the actual workspace UI into
real Classic and Nodes 2.0 widgets and verifies workflow serialization without
loading a workflow or queueing generation.
## Durable execution ledger
`npm run --prefix tools/vendor test:executions` runs 46 real execution cases
(23 each in Classic and Nodes 2.0, retaining all 42 prior execution cases),
alongside the existing 78 stock host cases and six pack compatibility cases. Run
these suites serially because they share report cleanup and owned host resources. Use the same pinned disposable `PM_COMFY_ROOT`,
`PM_TEST_PYTHON` and Playwright browser installation as `test:comfyui`:
```sh
PM_COMFY_ROOT=/path/to/disposable/ComfyUI \
PM_TEST_PYTHON=/path/to/cpu-env/bin/python \
PLAYWRIGHT_BROWSERS_PATH=/path/to/playwright-browsers \
npm run --prefix tools/vendor test:executions
```
This suite reserves `http://127.0.0.1:8196/` and never attaches to an existing
server. Each renderer worker launches a CPU/offline host with independent
configuration, database, user and output directories. The shared launcher installs
tracked snapshots of PromptManager and a tiny temporary Git-tracked fixture pack.
Only that owned test pack provides cached text, deliberate failure, an
interruptible queue gate, deterministic CLIP/model/latent and CPU tensor inputs,
and control routes.
It replaces external sampler inference and trigger injection only inside the
disposable host; real registered PromptManager classes, queue, executor and cache
remain active. Its cache control resets the real executor on its worker to exercise
Classic, LRU, RAM-pressure and disabled caching; production has no test nodes or
endpoints. Cleanup always releases the gate, stops the host and removes both
owned directories. Logs and Playwright failures appear under
`tools/vendor/test-results/executions/` and the existing CI artifact upload.
The request-only case creates no browser or WebSocket client. Other cases verify
real `execution_cached` node lists after a failed job, both renderer switches and
workflow reload, repeated public UUIDs, interruption, graph rejection, and queued
removal before dequeue. Actual host history is checked alongside finite polling
of SQLite after the background writer. The read helper uses SQLite read-only
mode, exact UUID job/session filters and a 256-row limit; absent ledger schema is
explicit, while missing/corrupt databases and other read errors fail the suite.
Sensitive diagnostic and extra-data sentinels must never appear in lifecycle
rows. Exact prompt fields are deliberately persisted only in context snapshots.
The same read-only helper calls the internal `get_execution_contexts` and
`get_execution_outputs` readers for requested run IDs and inspects their snapshot
identities and current usage counts. Its `outputs` map is keyed by immutable run
ID, alongside the existing `rows`, `captures`, `usage` and `snapshotIds` results.
`execution-outputs.spec.mjs` runs actual stock SaveImage and PreviewImage nodes
from tiny CPU tensors. It compares each attempt's persisted descriptors with that
attempt's final host history, including A,A,B batches, multiple output nodes,
cached locators, reused public UUIDs, PNG metadata disabled, graphs without PM
nodes and text-only outputs. The pinned SaveImage returns an IMAGE socket; linking
it to the owned failure/gate node orders the partial-run tests explicitly. A held
downstream gate proves completed image work does not finalize the run early.
Other cases verify real output capture across startup in each renderer, switching
both ways and workflow reload. PM usage counts retain their existing per-job
behavior. References identify reported locators only: file identity is unverified,
new generation and context membership are unknown, and temp references are
transient. The stock suite excludes both execution files; discovery retains its
78 cases and the six pack cases unchanged.
For a meaningful historical failure, create a separate disposable detached
checkout at `fdba6fd0126a8a40cbd6f3e50ed4c5de8991efd4` and pass its path to
`launchExecutionHost({ repository })`. That base also predates the #211 config
import fix: after confirming an actual headless job succeeded, use
`readExecutionRuns` on its explicitly constructed owned path
`host.stateDirectory/custom_nodes/promptmanager/prompts.db`. It reports
`schemaAvailable: false` and empty rows, failing the expected succeeded-row
assertion. This historical inspection stays outside the ordinary suite, which
requires the configured database path. The launcher also accepts
`PM_EXECUTION_REPOSITORY`; omit it for the implementation worktree. Stage new
files first because snapshots use `git ls-files`. Never reset the implementation
checkout or point this harness at a live ComfyUI checkout.
The package-qualified config import also corrects #211: the configured database
path is honored when PromptManager runs as a ComfyUI custom node. Follow the
[database path compatibility and safe backup sequence](README.md#database-path-compatibility-211)
before restarting an existing deployment.
The ledger records only new dequeued jobs and observed outcomes. Existing
counters, prompts, pairs and image links are preserved, with no reconstructed old
runs. Schema v2 migrates automatically when the configured database opens, adding
immutable prompt-context tables without backfilling old runs. The internal reader
returns `not_captured` for preexisting runs; a new capture can instead be complete,
partial, ambiguous or unavailable. Keep the existing database backup/restore
procedure: restored history changes storage epoch, and old library navigation
hints must never be rebound to unrelated current rows.
Context cases verify A,A,B as three jobs/two combinations/one positive snapshot
when every positive field matches; all five registered PM variants; exact raw
whitespace and Unicode; known empty negatives; Text negative roles and crossed
pairs; fully cached repeats after trigger configuration changes; successful source
text before downstream failure/interruption; unknown cached dynamic raw; unsupported
transforms and duplicate list invocation ambiguity. Fresh values use
`runtime_return`, cached effective STRING outputs use `host_cache_output`, and
submitted literals use graph inference. SQL NULL means unknown; empty text is
known. Text is never trimmed or normalized by capture. Cache availability and
inferred sampler roles prove neither sampler execution nor consumption, and list
indices do not identify generated images. External trigger configuration changes
must not rewrite the effective text of an existing cached result. The cache matrix
also checks that positive/pair usage increments once per dequeued job while a
negative-only component retains its existing zero standalone-use count.
Fault injection for restore fencing, inherited async capability revocation, queued
finalization, epoch and generation revocation, provider-local cache entries, eviction/reset, malformed or
oversized payloads and missing host interfaces lives in the focused Python
`test_execution*.py` suites. These use disposable storage and mocked host interfaces;
they are distinct from the pinned real executor/cache checks above. Run-owned
output descriptors do not create gallery image associations or a chronological
timeline. Deploying the Python changes
requires a ComfyUI restart. After restart, queue three new jobs A,A,B with identical
positive fields and two negative recipes; existing counters should advance as usual,
and internal context inspection should find three attempts and two combinations.
For a live output check after that manual restart:
- Queue SaveImage and PreviewImage with a batch of two, then submit an unchanged
cached repeat and a changed tensor/input under new jobs.
- Inspect each run's internal output capture against its final ComfyUI history;
cached references may repeat, while the attempts remain distinct.
- Switch Classic to Nodes 2.0 and back, reload the workflow and queue again.
- Verify prompt/pair counters and gallery links retain their existing behavior;
output references alone do not prove file bytes or prompt membership.
Automated checks use only managed disposable hosts. They never restart or upgrade
the personal ComfyUI server.
## Chronological Library history (#209)
`#/library/{positive_id}` retains saved negative selection, the full selected
negative directly beneath its positive, acknowledged role/pair sending, and one
pair-filtered shared gallery. Recorded executions are a separate projection.
Selecting an execution, anchor, Raw/Effective mode, or reported occurrence does
not select a saved variant or refetch its gallery. A,A,B means three attempts,
two frozen contexts, and one exact raw-positive group. Different composition or
evidence can produce different frozen contexts despite equal-looking previews.
The versioned public reads are:
| Route | Meaning |
| --- | --- |
| `GET /prompt_manager/library/{positive_id}/history` | Exact frozen raw-positive group; compact chronological windows |
| `GET /prompt_manager/history/runs/{run_id}` | Frozen fields, per-field provenance, capture and outcome for a known UUID |
| `GET /prompt_manager/history/runs/{run_id}/outputs` | Ordered host-reported occurrences, including repeated locations |
| `GET /prompt_manager/history/runs/{run_id}/output/current/{media,thumbnail,inspection}` | Authorized current file at that reported location, using the returned epoch/scope URL |
Run and output reads accept the returned `epoch`; current-file routes require
the returned epoch, current scope and occurrence coordinates. Run integers are
decimal strings, preserving SQLite's full signed 64-bit values. Windows and
receipt pages default to 40 with a 1–100 limit. Cursors are opaque, authenticated,
scope-bound and capped at 4096 bytes. Run JSON has an 8 MiB UTF-8 limit and receipt
pages a 1 MiB limit; exceeding a limit fails explicitly instead of truncating
exact evidence. The unchanged capture limits remain 16 anchors/256 occurrences.
A cursor freezes its upper ordering boundary, not an application-wide snapshot:
each page has one SQLite read transaction and a count as of that read. Later
pages can observe completed capture, deletion or other current changes. Newer
runs require Refresh history. Unknown positive raw text cannot enter an exact
Library group but remains readable through its known run UUID. Unknown (`null`),
known empty (`""`) and whitespace are distinct. Complete-zero reported outputs
means the host reported none; missing capture means unknown, and partial or
conflicting capture remains incomplete. Receipts prove reported locations, not
historical bytes, newly generated files or context-output ownership. Cached
attempts can repeat exactly the same receipts.
Each nonempty history page also returns an authenticated `resume_cursor`, including
an exhausted page with no continuation. Re-entry uses `resume` instead of `cursor`
to read from that prior upper boundary, then restores at most the prior number of
40-run pages. It retains horizontal/vertical scroll and the visible anchor as
in-memory visit intent. The API validates epoch and exact saved-text scope again;
DTOs and current candidates are never saved as visit intent. Explicit Refresh
loads the newest window/count and revalidates the selected run's exact raw-positive
membership, context and receipt. A valid selection outside that window has an
explicit label and **View selected run** control.
Every receipt can be selected, including missing/error candidates. **Retry current
availability** rereads its existing bounded output page; a reduced response limit
may require several reads within that one already loaded page. Earlier rows,
context/mode, exact selection and saved gallery remain. Recovery actions use the
shared client's strict `smaller-limit`, `reload-outputs`, `retry-read` and
`refresh-history` vocabulary. Active inspection epoch/identity failures immediately
reach the owning history recovery, clearing stale recorded actions before reload.
Restore acceptance depends on merged #223: incompatible online storage
replacement must safely refuse without harming another owner's WAL/connection.
History fencing does not repair unsafe replacement. For accepted replacement,
the read transaction ends before a fresh-connection epoch check; the final
epoch/generation validation is the publication linearization point. Browser
generations also ignore late success/error callbacks after route/scope changes.
Old cursors, epoch and current-scope URLs fail with bounded recovery instructions.
Restored numeric IDs never repair an original navigation hint. Saved Library
details are revalidated separately, and a changed owner requires explicit reload.
Current media/thumbnail responses use an already-opened, validated canonical
file handle, bounded streaming and `Cache-Control: no-store`, including HEAD and
range behavior. Inspection is a current metadata observation with pre/post file
facts, canonical reauthorization and a fresh scope/epoch check; it is not pinned
historical bytes or an OS filesystem snapshot. A deterministic change during the
metadata read is rejected. A later request can legitimately observe replacement
bytes at the same path without changing the immutable receipt.
The focused acceptance command retains all four projects:
```sh
PM_TEST_PORT=8766 npm run --prefix tools/vendor test:workflows -- \
workspace-history.spec.mjs workspace-visual.spec.mjs \
--project chromium --project touch --project firefox --project webkit
npm run --prefix tools/vendor test:executions
npm run --prefix tools/vendor test:comfyui
npm run --prefix tools/vendor test:compat
```
Use the pinned disposable prerequisites above; managed suites run serially.
The real execution helpers compare SQLite captures to these public routes for
stock SaveImage/PreviewImage batches, multiple nodes, metadata disabled, cached
headless repeats, partial failure and interruption. Additional cases verify the
actual PM A,A,B group, unknown-positive exclusion, and exact frozen Raw/Effective
pair sends through the acknowledged host bridge after Classic/Nodes 2.0 startup,
both switches and workflow reload, without queuing or loading a workflow on send.
All original 42 execution, 78 stock-host and six compatibility cases remain.
The browser fixture uses actual APIs/SQLite/files, fixed owned backup snapshots,
one-shot bounded publication barriers and fixed filesystem/configuration commands.
Reset and cleanup release barriers, restore seams and revoke commands. It never
attaches to a personal host. The canonical HTML and its six required assets are
served from a fixed test-only allowlist; the original concept index/app/style
bytes are hash-pinned and unmodified. At 1600×1100 and 390×844 in both themes,
with fixed locale/UTC/reduced motion and ready fonts, tests capture unmasked
concept/production PNG pairs and geometry, and pin actual branch padding,
surfaces, 2px role lines, 57px rhythm, staggering, colors, selected focus and native
dialog behavior. Controls and actions are checked independently of screenshots.
Keyboard focus/return, coarse targets, 200% layout, route return and persisted
page lifecycle recovery retain their separate behavioral tests.
Initial production acceptance requires maintainer inspection of paired PNGs and
geometry; never update snapshots automatically or mask content to bless a gap.
Data-dependent text/images/counts and the clearly labeled saved/frozen/current
distinctions are documented in the comparison helper. Broader Images card
activation/Info/tag/favorite/select parity and shared Viewer stage/toolbar polish
and shared role-block spacing/padding/glyph polish remain outside #209. The
responsive production Viewer keeps its toolbar in the media panel and prompt details readable rather than reproducing the concept's
mobile toolbar collision. These are explicit remaining visual differences, not
a whole-application or full-gallery/Viewer pixel-parity claim.
Preserve raw logs, failed traces, paired PNGs, geometry, runtime versions and
source hashes before later managed commands clear their output directories.
Frontend baseline updates are additive through `coverage:update` only after
every previous metric floor and each new file's 80% line requirement pass; rerun
the coverage gate using the committed baseline. Python retains its 85% combined
statement/branch gate. Deploying the history Python changes requires a maintainer
ComfyUI restart; automated acceptance never restarts the personal server.
+4 -48
View File
@@ -3,14 +3,12 @@ ComfyUI_PromptManager: A comprehensive ComfyUI custom node that extends text enc
with persistent prompt storage, advanced search capabilities, and an automatic image
gallery system.
This module provides prompt node types:
This module provides two main node types:
- PromptManager: CLIP encoding node that outputs CONDITIONING
- PromptManagerFocused: Editor-first layout using the same encoding contract
- PromptManagerSplit: Side-by-side editor and library using the same contract
- PromptManagerText: Text-only node that outputs STRING with prepend/append
functionality
The nodes share the same database backend for persistent prompt storage and include
Both nodes share the same database backend for persistent prompt storage and include
an automatic image gallery system that monitors ComfyUI output directories and links
generated images to their source prompts.
@@ -40,29 +38,18 @@ def get_version():
return "unknown"
from .prompt_manager import ( # noqa: E402
PromptManager,
PromptManagerFocused,
PromptManagerSplit,
)
from .prompt_manager_pair import PromptManagerPair # noqa: E402
from .prompt_manager import PromptManager # noqa: E402
from .prompt_manager_text import PromptManagerText # noqa: E402
from .prompt_search_list import PromptSearchList # noqa: E402
NODE_CLASS_MAPPINGS = {
"PromptManager": PromptManager,
"PromptManagerFocused": PromptManagerFocused,
"PromptManagerSplit": PromptManagerSplit,
"PromptManagerPair": PromptManagerPair,
"PromptManagerText": PromptManagerText,
"PromptSearchList": PromptSearchList,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"PromptManager": "Prompt Manager (Classic)",
"PromptManagerFocused": "Prompt Manager (Focused)",
"PromptManagerSplit": "Prompt Manager (Split)",
"PromptManagerPair": "Prompt Manager (+/-)",
"PromptManager": "Prompt Manager",
"PromptManagerText": "Prompt Manager Text",
"PromptSearchList": "Prompt Search List",
}
@@ -87,9 +74,6 @@ try:
routes = config.routes
api = PromptManagerAPI()
api.add_routes(routes)
host_app = getattr(config.server_instance, "app", None)
if host_app is not None and hasattr(host_app, "on_cleanup"):
host_app.on_cleanup.append(api.cleanup_history_reads)
except Exception as e:
# Log to internal logging system without console spam
@@ -161,34 +145,6 @@ except Exception as e:
f"Failed to register usage hook: {e}"
)
def _history_db_factory() -> "PromptDatabase":
"""Initialize history on its worker even if monitoring initialization failed."""
if _global_db is not None:
return _global_db
from .database.operations import PromptDatabase
return PromptDatabase()
_history_registration = None
try:
from .py.config import server_instance
from .utils.execution_history import register_history_hook
_history_registration = register_history_hook(server_instance, _history_db_factory)
except Exception:
try:
from .utils.logging_config import get_logger
get_logger("prompt_manager.init").error("Failed to register execution history")
except Exception:
import logging
logging.getLogger("prompt_manager.init").error(
"Failed to register execution history"
)
__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
# Print startup message with loaded tools
-406
View File
@@ -1,406 +0,0 @@
"""Owned execution-context v1 tables within execution-history schema v2.
Content IDs hash exact scalar values; evidence JSON contains metadata only.
All validation scans use cursors and bounded per-row payloads.
"""
import json
import sqlite3
from .execution_history_schema import _compact, _uuid_check
try:
from ..utils.execution_contexts import (
BUNDLE_STATES,
CAPTURE_REASONS,
EVIDENCE_SOURCES,
UNKNOWN_REASONS,
MAX_CONTEXT_BYTES,
ContextBundle,
PromptSnapshot,
RecipeContext,
TextEvidence,
validate_bundle,
content_digest,
text_size,
)
except ImportError:
from utils.execution_contexts import (
BUNDLE_STATES,
CAPTURE_REASONS,
EVIDENCE_SOURCES,
UNKNOWN_REASONS,
MAX_CONTEXT_BYTES,
ContextBundle,
PromptSnapshot,
RecipeContext,
TextEvidence,
validate_bundle,
content_digest,
text_size,
)
FIELDS = ("raw", "effective", "prepend", "append")
TABLE_COLUMNS = {
"execution_context_texts": (
("text_id", "TEXT", 1, 1),
("text_value", "TEXT", 1, 0),
),
"execution_prompt_snapshots": (
("snapshot_id", "TEXT", 1, 1),
*((f"{field}_text_id", "TEXT", 0, 0) for field in FIELDS),
),
"execution_contexts": (
("context_id", "TEXT", 1, 1),
("positive_snapshot_id", "TEXT", 0, 0),
("negative_snapshot_id", "TEXT", 0, 0),
),
"execution_run_contexts": (
("run_id", "TEXT", 1, 1),
("anchor_id", "TEXT", 1, 2),
("context_id", "TEXT", 1, 0),
("evidence_json", "TEXT", 1, 0),
("positive_prompt_id", "INTEGER", 0, 0),
("negative_prompt_id", "INTEGER", 0, 0),
("pair_id", "INTEGER", 0, 0),
("reference_epoch", "TEXT", 0, 0),
("capture_version", "INTEGER", 1, 0),
),
"execution_context_capture": (
("run_id", "TEXT", 1, 1),
("state", "TEXT", 1, 0),
("reason", "TEXT", 1, 0),
("format_version", "INTEGER", 1, 0),
),
}
def _digest_check(column: str, nullable: bool = False) -> str:
check = (
f"typeof({column}) = 'text' AND length({column}) = 64 "
f"AND length(CAST({column} AS BLOB)) = 64 "
f"AND {column} NOT GLOB '*[^0-9a-f]*'"
)
return f"{column} IS NULL OR ({check})" if nullable else check
def _bounded_uuid_check(column: str) -> str:
return f"{_uuid_check(column)} AND length(CAST({column} AS BLOB)) = 36"
def _enum_check(column: str, values: frozenset[str]) -> str:
return (
f"typeof({column}) = 'text' AND {column} IN ("
+ ",".join("'" + value + "'" for value in sorted(values))
+ ")"
)
TABLE_CHECKS = {
"execution_context_texts": (
_digest_check("text_id"),
"typeof(text_value) = 'text' AND length(CAST(text_value AS BLOB)) <= 65536",
),
"execution_prompt_snapshots": (
_digest_check("snapshot_id"),
*(_digest_check(f"{field}_text_id", True) for field in FIELDS),
),
"execution_contexts": (
_digest_check("context_id"),
_digest_check("positive_snapshot_id", True),
_digest_check("negative_snapshot_id", True),
"positive_snapshot_id IS NOT NULL OR negative_snapshot_id IS NOT NULL",
),
"execution_run_contexts": (
_bounded_uuid_check("run_id"),
"typeof(anchor_id) = 'text' AND length(anchor_id) BETWEEN 1 AND 128 "
"AND length(CAST(anchor_id AS BLOB)) <= 512",
_digest_check("context_id"),
"typeof(evidence_json) = 'text' AND length(CAST(evidence_json AS "
"BLOB)) <= 8192",
*(
f"{column} IS NULL OR (typeof({column}) = 'integer' AND {column} > 0)"
for column in ("positive_prompt_id", "negative_prompt_id", "pair_id")
),
f"reference_epoch IS NULL OR ({_bounded_uuid_check('reference_epoch')})",
"typeof(capture_version) = 'integer' AND capture_version = 1",
),
"execution_context_capture": (
_bounded_uuid_check("run_id"),
_enum_check("state", BUNDLE_STATES),
_enum_check("reason", CAPTURE_REASONS),
"length(CAST(reason AS BLOB)) <= 64",
"typeof(format_version) = 'integer' AND format_version = 1",
),
}
# (source column, destination table, destination column); actions always NO ACTION.
TABLE_FOREIGN_KEYS = {
"execution_context_texts": (),
"execution_prompt_snapshots": tuple(
(f"{field}_text_id", "execution_context_texts", "text_id") for field in FIELDS
),
"execution_contexts": tuple(
(f"{role}_snapshot_id", "execution_prompt_snapshots", "snapshot_id")
for role in ("positive", "negative")
),
"execution_run_contexts": (
("run_id", "execution_runs", "run_id"),
("context_id", "execution_contexts", "context_id"),
),
"execution_context_capture": (("run_id", "execution_runs", "run_id"),),
}
# Only SQLite-generated primary-key indexes are unique. No secondary indexes required.
def install_context_schema(conn: sqlite3.Connection) -> None:
"""Install tables inside the caller's transaction, without committing."""
for table, columns in TABLE_COLUMNS.items():
definitions = [
f"{name} {kind}{' NOT NULL' if required else ''}"
for name, kind, required, _ in columns
]
primary = [name for name, _, _, order in columns if order]
definitions.append(f"PRIMARY KEY ({', '.join(primary)})")
definitions.extend(f"CHECK({check})" for check in TABLE_CHECKS[table])
definitions.extend(
f"FOREIGN KEY ({column}) REFERENCES {target}({key}) "
"ON UPDATE NO ACTION ON DELETE NO ACTION"
for column, target, key in TABLE_FOREIGN_KEYS[table]
)
conn.execute(f"CREATE TABLE {table} ({', '.join(definitions)})")
def _unique_object(pairs: list[tuple[str, object]]) -> dict:
result = {}
for key, value in pairs:
if key in result:
raise ValueError("Duplicate evidence key")
result[key] = value
return result
def _snapshot_values(conn: sqlite3.Connection, snapshot_id: str) -> tuple:
row = conn.execute(
"SELECT raw_text_id,effective_text_id,prepend_text_id,append_text_id "
"FROM execution_prompt_snapshots WHERE snapshot_id=?",
(snapshot_id,),
).fetchone()
if row is None:
raise ValueError("Missing snapshot")
values = []
for text_id in row:
if text_id is None:
values.append(None)
else:
text = conn.execute(
"SELECT text_value FROM execution_context_texts WHERE text_id=?",
(text_id,),
).fetchone()
if text is None:
raise ValueError("Missing context text")
text_size(text[0])
values.append(text[0])
return tuple(values)
def _validate_evidence(
conn: sqlite3.Connection, anchor_id: str, context_id: str, encoded: str
) -> tuple[RecipeContext, bool]:
text_size(encoded, 8192)
evidence = json.loads(encoded, object_pairs_hook=_unique_object)
if (
type(evidence) is not dict
or set(evidence)
!= {"format_version", "role_provenance", "positive", "negative"}
or type(evidence["format_version"]) is not int
or evidence["format_version"] != 1
or evidence["role_provenance"] != "inferred"
):
raise ValueError("Invalid context evidence")
row = conn.execute(
"SELECT positive_snapshot_id,negative_snapshot_id FROM "
"execution_contexts WHERE context_id=?",
(context_id,),
).fetchone()
if row is None:
raise ValueError("Missing context")
complete = True
snapshots = []
for role, snapshot_id in zip(("positive", "negative"), row):
metadata = evidence[role]
if snapshot_id is None:
if metadata is not None:
raise ValueError("Unexpected role evidence")
complete = False
snapshots.append(None)
continue
values = _snapshot_values(conn, snapshot_id)
if type(metadata) is not dict or set(metadata) != set(FIELDS):
raise ValueError("Invalid snapshot evidence")
fields = []
for field, value in zip(FIELDS, values):
item = metadata[field]
if type(item) is not dict or set(item) != {
"provenance",
"source",
"reason",
}:
raise ValueError("Invalid field evidence")
provenance, source, reason = (
item["provenance"],
item["source"],
item["reason"],
)
if (
type(provenance) is not str
or type(source) is not str
or source not in EVIDENCE_SOURCES.get(provenance, ())
):
raise ValueError("Invalid evidence source")
if value is None:
complete = False
if (
provenance != "unknown"
or type(reason) is not str
or reason not in UNKNOWN_REASONS
):
raise ValueError("Unknown evidence requires reason")
elif provenance == "unknown" or reason is not None:
raise ValueError("Known evidence metadata mismatch")
fields.append(TextEvidence(value, provenance, source, reason))
snapshots.append(PromptSnapshot(*fields))
return RecipeContext(anchor_id, *snapshots, evidence["role_provenance"]), complete
def context_schema_error(conn: sqlite3.Connection) -> str | None:
"""Validate exact owned schema, bounded evidence, fingerprints and links."""
if conn.execute(
"SELECT 1 FROM sqlite_master WHERE type IN ('trigger','view') LIMIT 1"
).fetchone():
return "Unsupported execution context trigger/view"
tables = {
row[0]: row[1]
for row in conn.execute("SELECT name,sql FROM sqlite_master WHERE type='table'")
if row[0] in TABLE_COLUMNS
}
if tables.keys() != TABLE_COLUMNS.keys():
return "Incomplete execution context schema"
for table, expected in TABLE_COLUMNS.items():
columns = tuple(
(row[1], row[2].upper(), row[3], row[5])
for row in conn.execute(f"PRAGMA table_xinfo({table})")
)
if columns != expected:
return f"{table} has invalid execution context columns"
sql = _compact(tables[table])
checks = TABLE_CHECKS[table]
if sql.count("check(") != len(checks) or any(
f"check({_compact(check)})" not in sql for check in checks
):
return f"{table} has invalid execution context checks"
foreign = tuple(
sorted(
(row[3], row[2], row[4], row[5], row[6], row[7])
for row in conn.execute(f"PRAGMA foreign_key_list({table})")
)
)
expected_foreign = tuple(
sorted(
(*key, "NO ACTION", "NO ACTION", "NONE")
for key in TABLE_FOREIGN_KEYS[table]
)
)
if foreign != expected_foreign:
return f"{table} has invalid execution context foreign keys"
for index in conn.execute(f"PRAGMA index_list({table})"):
if not index[2]:
continue
name = index[1].replace('"', '""')
keys = tuple(
row for row in conn.execute(f'PRAGMA index_xinfo("{name}")') if row[5]
)
primary = tuple(column[0] for column in expected if column[3])
if (
index[3] != "pk"
or index[4]
or tuple(key[2] for key in keys) != primary
or any(key[3] or key[4] != "BINARY" for key in keys)
):
return f"{table} has unexpected execution context uniqueness"
predicate = " AND ".join(f"({check})" for check in checks)
if conn.execute(
f"SELECT 1 FROM {table} WHERE NOT ({predicate}) LIMIT 1"
).fetchone():
return f"{table} contains invalid execution context records"
if conn.execute(f"PRAGMA foreign_key_check({table})").fetchone():
return f"{table} contains orphan execution context records"
if conn.execute(
"SELECT 1 FROM execution_run_contexts GROUP BY run_id HAVING "
"COUNT(*) > 16 LIMIT 1"
).fetchone():
return "Too many execution contexts per run"
try:
for text_id, text in conn.execute(
"SELECT text_id,text_value FROM execution_context_texts"
):
text_size(text)
if content_digest("text", (text,)) != text_id:
raise ValueError("Invalid text fingerprint")
for (snapshot_id,) in conn.execute(
"SELECT snapshot_id FROM execution_prompt_snapshots"
):
if (
content_digest("snapshot", _snapshot_values(conn, snapshot_id))
!= snapshot_id
):
raise ValueError("Invalid snapshot fingerprint")
for context_id, positive, negative in conn.execute(
"SELECT context_id,positive_snapshot_id,negative_snapshot_id FROM "
"execution_contexts"
):
if content_digest("context", (positive, negative)) != context_id:
raise ValueError("Invalid context fingerprint")
payload_size = 0
for snapshot_id in (positive, negative):
if snapshot_id is not None:
payload_size += sum(
text_size(value)
for value in _snapshot_values(conn, snapshot_id)
if value is not None
)
if payload_size > MAX_CONTEXT_BYTES:
raise ValueError("Oversized detached context")
previous_run = None
contexts = ()
for run_id, anchor_id, context_id, evidence in conn.execute(
"SELECT run_id,anchor_id,context_id,evidence_json FROM "
"execution_run_contexts ORDER BY run_id,anchor_id"
):
if run_id != previous_run:
contexts = ()
previous_run = run_id
context, complete = _validate_evidence(
conn, anchor_id, context_id, evidence
)
status = conn.execute(
"SELECT state,reason FROM execution_context_capture WHERE run_id=?",
(run_id,),
).fetchone()
if status is None:
raise ValueError("Context link has no capture header")
state, reason = status
if state == "complete" and not complete:
raise ValueError("Incomplete evidence marked complete")
candidate = (*contexts, context)
validate_bundle(ContextBundle(candidate, state, reason))
contexts = candidate
if conn.execute(
"SELECT 1 FROM execution_context_capture c WHERE state='complete' "
"AND NOT EXISTS (SELECT 1 FROM execution_run_contexts r WHERE "
"r.run_id=c.run_id) LIMIT 1"
).fetchone():
raise ValueError("Complete capture has no contexts")
except (ValueError, TypeError, RecursionError, OverflowError) as exc:
return f"Invalid execution context content: {type(exc).__name__}"
return None
-376
View File
@@ -1,376 +0,0 @@
"""Immutable execution capture and exact, epoch-fenced library navigation hints."""
from contextlib import ExitStack
import json
import sqlite3
from typing import Callable, ContextManager, Iterator
try:
from ..utils.execution_history_events import RunFinish, encode_command
from ..utils.execution_contexts import (
CAPTURE_REASONS,
ContextBundle,
content_digest,
validate_bundle,
)
except ImportError:
from utils.execution_history_events import RunFinish, encode_command
from utils.execution_contexts import (
CAPTURE_REASONS,
ContextBundle,
content_digest,
validate_bundle,
)
FIELDS = ("raw", "effective", "prepend", "append")
ROLES = ("positive", "negative")
def _prepare(bundle: ContextBundle) -> list[dict]:
validate_bundle(bundle)
if bundle.reason not in CAPTURE_REASONS:
raise ValueError("Invalid capture reason")
prepared = []
complete = bool(bundle.contexts)
for context in bundle.contexts:
evidence = {"format_version": 1, "role_provenance": context.role_provenance}
snapshots = []
for role in ROLES:
snapshot = getattr(context, role)
if snapshot is None:
snapshots.append(None)
evidence[role] = None
complete = False
continue
values = tuple(getattr(snapshot, field).value for field in FIELDS)
complete = complete and all(value is not None for value in values)
snapshots.append((content_digest("snapshot", values), values))
evidence[role] = {
field: {
"provenance": getattr(snapshot, field).provenance,
"source": getattr(snapshot, field).source,
"reason": getattr(snapshot, field).reason,
}
for field in FIELDS
}
if all(snapshot is None for snapshot in snapshots):
raise ValueError("Context must contain a snapshot")
context_id = content_digest(
"context", tuple(s[0] if s else None for s in snapshots)
)
encoded = json.dumps(
evidence,
ensure_ascii=False,
allow_nan=False,
separators=(",", ":"),
sort_keys=True,
)
if len(encoded.encode("utf-8")) > 8192:
raise ValueError("Oversized context evidence")
prepared.append(
{
"anchor_id": context.anchor_id,
"context_id": context_id,
"snapshots": snapshots,
"evidence_json": encoded,
}
)
if bundle.state == "complete" and not complete:
raise ValueError("Incomplete scalar capture")
return sorted(prepared, key=lambda item: item["anchor_id"])
def _existing_row(
conn: sqlite3.Connection, table: str, columns: tuple[str, ...], values: tuple
) -> bool:
row = conn.execute(
f"SELECT {','.join(columns[1:])} FROM {table} WHERE {columns[0]}=?",
(values[0],),
).fetchone()
if row is None:
return False
if tuple(row) != values[1:]:
raise ValueError("Execution context digest collision")
return True
def _content_rows(item: dict) -> Iterator[tuple[str, tuple[str, ...], tuple]]:
snapshot_ids = []
for snapshot in item["snapshots"]:
if snapshot is None:
snapshot_ids.append(None)
continue
snapshot_id, values = snapshot
text_ids = []
for value in values:
text_id = None if value is None else content_digest("text", (value,))
if value is not None:
yield "execution_context_texts", ("text_id", "text_value"), (
text_id,
value,
)
text_ids.append(text_id)
yield "execution_prompt_snapshots", (
"snapshot_id",
*(f"{field}_text_id" for field in FIELDS),
), (snapshot_id, *text_ids)
snapshot_ids.append(snapshot_id)
yield "execution_contexts", (
"context_id",
"positive_snapshot_id",
"negative_snapshot_id",
), (item["context_id"], *snapshot_ids)
def _insert_exact(
conn: sqlite3.Connection, table: str, columns: tuple[str, ...], values: tuple
) -> None:
if not _existing_row(conn, table, columns, values):
names = ",".join(columns)
placeholders = ",".join("?" for _ in columns)
conn.execute(f"INSERT INTO {table} ({names}) VALUES ({placeholders})", values)
def _prompt_hint(conn: sqlite3.Connection, raw: str | None) -> int | None:
if raw is None:
return None
rows = conn.execute(
"SELECT id FROM prompts WHERE text=? COLLATE BINARY LIMIT 2", (raw,)
).fetchall()
return rows[0][0] if len(rows) == 1 else None
def _hints(
conn: sqlite3.Connection, positive: str | None, negative: str | None
) -> tuple:
pos_id, neg_id = _prompt_hint(conn, positive), _prompt_hint(conn, negative)
pair_id = None
negative_ambiguous = (
negative is not None
and neg_id is None
and conn.execute(
"SELECT 1 FROM prompts WHERE text=? COLLATE BINARY LIMIT 1", (negative,)
).fetchone()
is not None
)
if pos_id is not None and negative is not None and not negative_ambiguous:
rows = conn.execute(
"SELECT pp.id FROM prompt_pairs pp LEFT JOIN prompts n ON "
"n.id=pp.negative_prompt_id "
"WHERE pp.positive_prompt_id=? AND ((pp.negative_prompt_id IS NULL AND "
"?='') "
"OR (pp.negative_prompt_id=? AND n.text=? COLLATE BINARY)) LIMIT 2",
(pos_id, negative, neg_id, negative),
).fetchall()
if len(rows) == 1:
pair_id = rows[0][0]
return pos_id, neg_id, pair_id
def _values(conn: sqlite3.Connection, snapshot_id: str | None) -> dict | None:
if snapshot_id is None:
return None
row = conn.execute(
"SELECT r.text_value,e.text_value,p.text_value,a.text_value "
"FROM execution_prompt_snapshots s "
"LEFT JOIN execution_context_texts r ON r.text_id=s.raw_text_id "
"LEFT JOIN execution_context_texts e ON e.text_id=s.effective_text_id "
"LEFT JOIN execution_context_texts p ON p.text_id=s.prepend_text_id "
"LEFT JOIN execution_context_texts a ON a.text_id=s.append_text_id "
"WHERE s.snapshot_id=?",
(snapshot_id,),
).fetchone()
if row is None:
raise sqlite3.DatabaseError("Missing execution context snapshot")
return dict(zip(FIELDS, row))
def _write_capture(
conn: sqlite3.Connection,
run_id: str,
expected_epoch: str,
bundle: ContextBundle,
prepared: list[dict],
) -> bool:
capture = conn.execute(
"SELECT state,reason,format_version FROM execution_context_capture "
"WHERE run_id=?",
(run_id,),
).fetchone()
if capture is not None:
for item in prepared:
for table, columns, values in _content_rows(item):
_existing_row(conn, table, columns, values)
links = conn.execute(
"SELECT anchor_id,context_id,evidence_json FROM "
"execution_run_contexts WHERE run_id=? ORDER BY anchor_id",
(run_id,),
).fetchall()
expected = [
(item["anchor_id"], item["context_id"], item["evidence_json"])
for item in prepared
]
# Compare JSON objects so serialization order never creates a conflict.
original = [(row[0], row[1], json.loads(row[2])) for row in links]
proposed = [
(anchor, context, json.loads(evidence))
for anchor, context, evidence in expected
]
if capture[0] != "conflicting" and (
tuple(capture) != (bundle.state, bundle.reason, bundle.format_version)
or original != proposed
):
conn.execute(
"UPDATE execution_context_capture SET "
"state='conflicting',reason='conflicting' WHERE run_id=?",
(run_id,),
)
return True
for item in prepared:
for table, columns, values in _content_rows(item):
_insert_exact(conn, table, columns, values)
raw = [snapshot[1][0] if snapshot else None for snapshot in item["snapshots"]]
positive_id, negative_id, pair_id = _hints(conn, *raw)
conn.execute(
"INSERT INTO "
"execution_run_contexts(run_id,anchor_id,context_id,evidence_json,"
"positive_prompt_id,negative_prompt_id,pair_id,reference_epoch,"
"capture_version) VALUES(?,?,?,?,?,?,?,?,1)",
(
run_id,
item["anchor_id"],
item["context_id"],
item["evidence_json"],
positive_id,
negative_id,
pair_id,
expected_epoch,
),
)
conn.execute(
"INSERT INTO "
"execution_context_capture(run_id,state,reason,format_version) "
"VALUES(?,?,?,?)",
(run_id, bundle.state, bundle.reason, bundle.format_version),
)
return True
class ExecutionContextOperations:
"""Compose with ExecutionHistoryOperations on PromptDatabase."""
def write_execution_contexts(
self, run_id: str, expected_epoch: str, bundle: ContextBundle
) -> bool:
prepared = _prepare(bundle)
with self._execution_transaction(expected_epoch) as conn:
if (
conn.execute(
"SELECT 1 FROM execution_runs WHERE run_id=? AND storage_epoch=?",
(run_id, expected_epoch),
).fetchone()
is None
):
return False
return _write_capture(conn, run_id, expected_epoch, bundle, prepared)
def write_execution_contexts_for_finish(
self,
command: RunFinish,
bundle: ContextBundle,
*,
generation_guard: Callable[[], ContextManager[bool]] | None = None,
) -> bool:
encode_command(command)
if type(command) is not RunFinish:
raise ValueError("Expected execution finish command")
prepared = _prepare(bundle)
# Enter the guard after BEGIN, and keep it until COMMIT/ROLLBACK exits.
with ExitStack() as guards:
with self._execution_transaction(command.storage_epoch) as conn:
if generation_guard is not None and not guards.enter_context(
generation_guard()
):
return False
row = conn.execute(
"SELECT run_id FROM execution_runs WHERE session_id=? "
"AND queue_item_id=? AND storage_epoch=?",
(command.session_id, command.queue_item_id, command.storage_epoch),
).fetchone()
if row is None:
return False
return _write_capture(
conn, row[0], command.storage_epoch, bundle, prepared
)
def get_execution_contexts(self, run_id: str) -> dict:
"""Return first-capture scalars; hints are None unless currently valid.
reference_epoch remains historical evidence even when hints are invalidated.
Reads never rebind a first-capture reference or alter stored capture data.
"""
conn = self.model.get_connection()
own_transaction = not conn.in_transaction
if own_transaction:
conn.execute("BEGIN")
try:
capture = conn.execute(
"SELECT state,reason,format_version FROM execution_context_capture "
"WHERE run_id=?",
(run_id,),
).fetchone()
if capture is None:
return {
"state": "not_captured",
"reason": "missing",
"format_version": None,
"contexts": [],
}
epoch = self.get_execution_epoch()
contexts = []
rows = conn.execute(
"SELECT r.*,c.positive_snapshot_id,c.negative_snapshot_id FROM "
"execution_run_contexts r JOIN execution_contexts c ON "
"c.context_id=r.context_id WHERE r.run_id=? ORDER BY r.anchor_id",
(run_id,),
)
for row in rows:
positive = _values(conn, row["positive_snapshot_id"])
negative = _values(conn, row["negative_snapshot_id"])
hints = (None, None, None)
if row["reference_epoch"] == epoch:
current = _hints(
conn,
positive["raw"] if positive else None,
negative["raw"] if negative else None,
)
hints = tuple(
row[key] if row[key] == value else None
for key, value in zip(
("positive_prompt_id", "negative_prompt_id", "pair_id"),
current,
)
)
contexts.append(
{
"anchor_id": row["anchor_id"],
"context_id": row["context_id"],
"positive": positive,
"negative": negative,
"evidence": json.loads(row["evidence_json"]),
"positive_prompt_id": hints[0],
"negative_prompt_id": hints[1],
"pair_id": hints[2],
"reference_epoch": row["reference_epoch"],
}
)
return {
"state": capture[0],
"reason": capture[1],
"format_version": capture[2],
"contexts": contexts,
}
finally:
if own_transaction:
conn.rollback()
-194
View File
@@ -1,194 +0,0 @@
"""Transactional attempt writes and process-local restore invalidation."""
import os
import sqlite3
import threading
from contextlib import contextmanager
from typing import Callable, Iterator
try:
from ..utils.execution_history_events import (
RunFinish,
RunStart,
classify_evidence,
encode_command,
)
from ..utils.logging_config import get_logger
except ImportError:
from utils.execution_history_events import (
RunFinish,
RunStart,
classify_evidence,
encode_command,
)
from utils.logging_config import get_logger
_logger = get_logger("prompt_manager.database.execution_history")
_restore_lock = threading.Lock()
_restore_observers: dict[str, dict[object, Callable[[], None]]] = {}
def _database_identity(db_path: str) -> str:
return os.path.normcase(os.path.realpath(db_path))
def subscribe_history_restore(
db_path: str, callback: Callable[[], None]
) -> Callable[[], None]:
"""Observe successful restores of the canonical database path."""
identity = _database_identity(db_path)
token = object()
with _restore_lock:
_restore_observers.setdefault(identity, {})[token] = callback
def unsubscribe() -> None:
with _restore_lock:
observers = _restore_observers.get(identity)
if observers is not None:
observers.pop(token, None)
if not observers:
_restore_observers.pop(identity, None)
return unsubscribe
def notify_history_restore(db_path: str) -> None:
"""Notify outside the registry lock; observers cannot fail a restore."""
with _restore_lock:
callbacks = tuple(
_restore_observers.get(_database_identity(db_path), {}).values()
)
for callback in callbacks:
try:
callback()
except Exception:
_logger.warning("Execution history restore observer failed", exc_info=True)
class HistoryEpochChanged(Exception):
"""A command belongs to storage replaced by a completed restore."""
def __init__(self, storage_epoch: str):
self.storage_epoch = storage_epoch
super().__init__("Execution history storage epoch changed")
class ExecutionHistoryOperations:
"""Mixin using the calling thread's existing managed model connection."""
def get_execution_epoch(self) -> str:
row = (
self.model.get_connection()
.execute(
"SELECT storage_epoch FROM execution_history_metadata "
"WHERE singleton_id=1"
)
.fetchone()
)
if row is None:
raise sqlite3.DatabaseError("Missing execution history metadata")
return row[0]
@contextmanager
def _execution_transaction(
self, expected_epoch: str
) -> Iterator[sqlite3.Connection]:
conn = self.model.get_connection()
if conn.in_transaction:
raise sqlite3.ProgrammingError(
"Execution history requires its own transaction"
)
timeout = conn.execute("PRAGMA busy_timeout").fetchone()[0]
conn.execute("PRAGMA busy_timeout=250")
try:
conn.execute("BEGIN IMMEDIATE")
try:
epoch = self.get_execution_epoch()
if epoch != expected_epoch:
raise HistoryEpochChanged(epoch)
yield conn
conn.commit()
except BaseException:
conn.rollback()
raise
finally:
conn.execute(f"PRAGMA busy_timeout={timeout}")
def write_execution_start(self, command: RunStart) -> bool:
encode_command(command)
if type(command) is not RunStart:
raise ValueError("Expected execution start command")
with self._execution_transaction(command.storage_epoch) as conn:
conn.execute(
"INSERT INTO execution_runs "
"(run_id,session_id,queue_item_id,job_id,storage_epoch,record_version,"
"observed_dequeue_at,outcome,diagnostics_omitted) "
"VALUES(?,?,?,?,?,1,?,'observed',0) "
"ON CONFLICT(session_id,queue_item_id) DO NOTHING",
(
command.run_id,
command.session_id,
command.queue_item_id,
command.job_id,
command.storage_epoch,
command.observed_dequeue_at,
),
)
return True
def write_execution_finish(self, command: RunFinish) -> bool:
encode_command(command)
if type(command) is not RunFinish:
raise ValueError("Expected execution finish command")
with self._execution_transaction(command.storage_epoch) as conn:
row = conn.execute(
"SELECT * FROM execution_runs WHERE session_id=? AND queue_item_id=? "
"AND storage_epoch=?",
(command.session_id, command.queue_item_id, command.storage_epoch),
).fetchone()
if row is None:
return False
completion = classify_evidence(row["job_id"], command.evidence)
if row["outcome"] == "unknown":
return True
if row["outcome"] != "observed":
contradictory = completion.reason == "conflicting_terminal" or (
completion.outcome in ("succeeded", "failed", "interrupted")
and completion.outcome != row["outcome"]
)
if contradictory:
conn.execute(
"UPDATE execution_runs SET outcome='unknown',"
"reason='conflicting_terminal' WHERE run_id=?",
(row["run_id"],),
)
return True
conn.execute(
"UPDATE execution_runs SET observed_callback_at=?,"
"executor_started_at=?,"
"terminal_event_at=?,outcome=?,reason=?,diagnostics_omitted=?,"
"node_id=?,"
"node_type=?,exception_type=? WHERE run_id=?",
(
command.observed_callback_at,
completion.executor_started_at,
completion.terminal_event_at,
completion.outcome,
completion.reason,
int(completion.diagnostics_omitted),
completion.node_id,
completion.node_type,
completion.exception_type,
row["run_id"],
),
)
return True
def get_execution_run(self, run_id: str) -> dict | None:
row = (
self.model.get_connection()
.execute("SELECT * FROM execution_runs WHERE run_id=?", (run_id,))
.fetchone()
)
return dict(row) if row is not None else None
-349
View File
@@ -1,349 +0,0 @@
"""Versioned additive schema for observed execution attempts."""
import re
import sqlite3
from uuid import uuid4
SCHEMA_VERSION = 3
def _uuid_check(column: str) -> str:
return (
f"typeof({column}) = 'text' AND length({column}) = 36 "
f"AND substr({column}, 9, 1) = '-' AND substr({column}, 14, 1) = '-' "
f"AND substr({column}, 19, 1) = '-' AND substr({column}, 24, 1) = '-' "
f"AND length(replace({column}, '-', '')) = 32 "
f"AND replace({column}, '-', '') NOT GLOB '*[^0-9a-f]*'"
)
def _integer_check(column: str, *, nullable: bool = False) -> str:
expression = f"typeof({column}) = 'integer' AND {column} >= 0"
return f"{column} IS NULL OR ({expression})" if nullable else expression
_METADATA_CHECKS = (
"singleton_id = 1",
"schema_version = 3",
_uuid_check("storage_epoch"),
)
_RUN_CHECKS = (
*(
_uuid_check(column)
for column in ("run_id", "session_id", "job_id", "storage_epoch")
),
_integer_check("queue_item_id"),
"record_version = 1",
_integer_check("observed_dequeue_at"),
*(
_integer_check(column, nullable=True)
for column in (
"observed_callback_at",
"executor_started_at",
"terminal_event_at",
)
),
"outcome IN ('observed', 'succeeded', 'failed', 'interrupted', 'unknown')",
"(outcome = 'observed' AND reason IS NULL AND "
"observed_callback_at IS NULL) OR (outcome != 'observed' AND "
"reason IS NOT NULL AND observed_callback_at IS NOT NULL AND "
"((outcome = 'succeeded' AND reason = 'terminal_success') OR "
"(outcome = 'failed' AND reason = 'terminal_error') OR (outcome = "
"'interrupted' AND reason = 'terminal_interrupted') OR (outcome = "
"'unknown' AND reason IN ('missing_terminal', "
"'conflicting_terminal', 'invalid_evidence', 'evidence_limit'))))",
"diagnostics_omitted IN (0, 1)",
*(
f"{column} IS NULL OR (typeof({column}) = 'text' "
f"AND length({column}) <= {limit})"
for column, limit in (
("node_id", 128),
("node_type", 128),
("exception_type", 256),
)
),
)
_TABLE_COLUMNS = {
"execution_history_metadata": (
("singleton_id", "INTEGER", 1, 1),
("schema_version", "INTEGER", 1, 0),
("storage_epoch", "TEXT", 1, 0),
),
"execution_runs": (
("run_id", "TEXT", 1, 1),
("session_id", "TEXT", 1, 0),
("queue_item_id", "INTEGER", 1, 0),
("job_id", "TEXT", 1, 0),
("storage_epoch", "TEXT", 1, 0),
("record_version", "INTEGER", 1, 0),
("observed_dequeue_at", "INTEGER", 1, 0),
("observed_callback_at", "INTEGER", 0, 0),
("executor_started_at", "INTEGER", 0, 0),
("terminal_event_at", "INTEGER", 0, 0),
("outcome", "TEXT", 1, 0),
("reason", "TEXT", 0, 0),
("diagnostics_omitted", "INTEGER", 1, 0),
("node_id", "TEXT", 0, 0),
("node_type", "TEXT", 0, 0),
("exception_type", "TEXT", 0, 0),
),
}
_TABLE_CHECKS = {
"execution_history_metadata": _METADATA_CHECKS,
"execution_runs": _RUN_CHECKS,
}
# Row-only guards preserve the supported v1 DDL fingerprint while bounding reads.
_ROW_BYTE_CHECKS = {
"execution_history_metadata": ("length(CAST(storage_epoch AS BLOB)) = 36",),
"execution_runs": (
*(
f"length(CAST({column} AS BLOB)) = 36"
for column in (
"run_id",
"session_id",
"job_id",
"storage_epoch",
)
),
*(
f"{column} IS NULL OR length(CAST({column} AS BLOB)) <= {limit}"
for column, limit in (
("node_id", 512),
("node_type", 512),
("exception_type", 1024),
)
),
),
}
_INDEXES = {
"idx_execution_runs_identity": (True, ("session_id", "queue_item_id")),
"idx_execution_runs_observed": (False, ("observed_dequeue_at", "run_id")),
}
def _compact(sql: str) -> str:
return "".join(
token if token.startswith("'") else re.sub(r"\s+", "", token).lower()
for token in re.findall(r"'(?:''|[^'])*'|[^']+", sql)
)
def history_schema_error(
conn: sqlite3.Connection, *, allow_missing: bool = True
) -> str | None:
"""Reject partial/unsupported history schemas and invalid persisted records."""
tables = {
row[0]: row[1]
for row in conn.execute("SELECT name,sql FROM sqlite_master WHERE type='table'")
if row[0] in _TABLE_COLUMNS
}
from .execution_context_schema import TABLE_COLUMNS, context_schema_error
from .execution_output_schema import (
TABLE_COLUMNS as OUTPUT_COLUMNS,
output_schema_error,
)
output_present = any(
row[0] in OUTPUT_COLUMNS
for row in conn.execute("SELECT name FROM sqlite_master")
)
if not tables and output_present:
return "Execution outputs require execution history"
context_present = any(
row[0] in TABLE_COLUMNS
for row in conn.execute("SELECT name FROM sqlite_master WHERE type='table'")
)
if not tables and context_present:
return "Execution contexts require execution history"
if not tables:
return None if allow_missing else "Missing execution history schema"
if tables.keys() != _TABLE_COLUMNS.keys():
return "Incomplete execution history schema"
metadata = conn.execute(
"SELECT CASE WHEN typeof(schema_version) = 'integer' "
"THEN schema_version ELSE NULL END FROM execution_history_metadata LIMIT 2"
).fetchall()
if len(metadata) != 1 or len(metadata[0]) != 1 or metadata[0][0] not in (1, 2, 3):
return "Unsupported execution history metadata/version"
version = metadata[0][0]
if version < 3 and output_present:
return "Unexpected execution outputs for history v1/v2"
if version == 1 and context_present:
return "Unexpected execution contexts for history v1"
if not allow_missing and version != SCHEMA_VERSION:
return "Execution history migration required"
for table, expected in _TABLE_COLUMNS.items():
columns = tuple(
(row[1], row[2].upper(), row[3], row[5])
for row in conn.execute(f"PRAGMA table_info({table})")
)
if columns != expected:
return f"{table} has invalid execution history columns"
sql = _compact(tables[table])
checks = _TABLE_CHECKS[table]
if table == "execution_history_metadata":
checks = tuple(
check.replace("schema_version = 3", f"schema_version = {version}")
for check in checks
)
if sql.count("check(") != len(checks) or any(
f"check({_compact(check)})" not in sql for check in checks
):
return f"{table} has invalid execution history checks"
if conn.execute(f"PRAGMA foreign_key_list({table})").fetchone():
return f"{table} has unexpected execution history foreign keys"
for index in conn.execute(f"PRAGMA index_list({table})"):
if not index[2]:
continue
if table == "execution_runs" and index[1] == "idx_execution_runs_identity":
continue
name = index[1].replace('"', '""')
keys = tuple(
row for row in conn.execute(f'PRAGMA index_xinfo("{name}")') if row[5]
)
primary = tuple(column[0] for column in expected if column[3])
if (
index[3] != "pk"
or index[4]
or tuple(key[2] for key in keys) != primary
or any(key[3] or key[4] != "BINARY" for key in keys)
):
return f"{table} has unexpected execution history uniqueness"
predicate = " AND ".join(
f"({check})" for check in (*checks, *_ROW_BYTE_CHECKS[table])
)
if conn.execute(
f"SELECT 1 FROM {table} WHERE NOT ({predicate}) LIMIT 1"
).fetchone():
return f"{table} contains invalid execution history records"
metadata = conn.execute(
"SELECT singleton_id,schema_version,storage_epoch FROM "
"execution_history_metadata"
).fetchall()
if len(metadata) != 1 or metadata[0][0] != 1 or metadata[0][1] != version:
return "Unsupported execution history metadata/version"
indexes = {row[1]: row for row in conn.execute("PRAGMA index_list(execution_runs)")}
for name, (unique, columns) in _INDEXES.items():
row = indexes.get(name)
if row is None or bool(row[2]) != unique or row[4]:
return f"Missing or invalid execution history index {name}"
actual = tuple(conn.execute(f"PRAGMA index_xinfo({name})"))
keys = tuple(item for item in actual if item[5])
if tuple(item[2] for item in keys) != columns or any(
item[3] or item[4] != "BINARY" for item in keys
):
return f"Invalid execution history index {name}"
if version >= 2:
error = context_schema_error(conn)
if error:
return error
return output_schema_error(conn) if version == 3 else None
def install_context_schema(conn: sqlite3.Connection) -> None:
from .execution_context_schema import install_context_schema as install
install(conn)
def install_output_schema(conn: sqlite3.Connection) -> None:
from .execution_output_schema import install_output_schema as install
install(conn)
def migrate_execution_history(conn: sqlite3.Connection) -> None:
"""Install history, contexts and outputs atomically, without backfill."""
conn.execute("SAVEPOINT execution_history_schema")
try:
error = history_schema_error(conn)
if error:
raise sqlite3.DatabaseError(error)
present = conn.execute(
"SELECT 1 FROM sqlite_master WHERE name IN "
"('execution_runs','execution_history_metadata') LIMIT 1"
).fetchone()
if not present:
for table, columns in _TABLE_COLUMNS.items():
definitions = [
f"{name} {kind}{' NOT NULL' if required else ''}"
f"{' PRIMARY KEY' if primary else ''}"
for name, kind, required, primary in columns
]
definitions.extend(f"CHECK({check})" for check in _TABLE_CHECKS[table])
conn.execute(f"CREATE TABLE {table} ({', '.join(definitions)})")
for name, (unique, columns) in _INDEXES.items():
conn.execute(
f"CREATE {'UNIQUE ' if unique else ''}INDEX {name} "
f"ON execution_runs({', '.join(columns)})"
)
conn.execute(
"INSERT INTO execution_history_metadata VALUES(1,?,?)",
(SCHEMA_VERSION, str(uuid4())),
)
install_context_schema(conn)
install_output_schema(conn)
else:
version, epoch = conn.execute(
"SELECT schema_version,storage_epoch FROM execution_history_metadata"
).fetchone()
if version < SCHEMA_VERSION:
conn.execute(
"ALTER TABLE execution_history_metadata RENAME TO "
"execution_history_metadata_old"
)
definitions = [
f"{name} {kind}{' NOT NULL' if required else ''}"
f"{' PRIMARY KEY' if primary else ''}"
for name, kind, required, primary in _TABLE_COLUMNS[
"execution_history_metadata"
]
]
definitions.extend(f"CHECK({check})" for check in _METADATA_CHECKS)
conn.execute(
"CREATE TABLE execution_history_metadata "
f"({', '.join(definitions)})"
)
conn.execute(
"INSERT INTO execution_history_metadata VALUES(1,?,?)",
(SCHEMA_VERSION, epoch),
)
conn.execute("DROP TABLE execution_history_metadata_old")
if version == 1:
install_context_schema(conn)
install_output_schema(conn)
# Read projections need reverse content lookup and the complete run order.
for table, columns in (
("execution_prompt_snapshots", "raw_text_id,snapshot_id"),
("execution_contexts", "positive_snapshot_id,context_id"),
("execution_run_contexts", "context_id,run_id,anchor_id"),
("execution_runs", "observed_dequeue_at,session_id,queue_item_id,run_id"),
):
conn.execute(
f"CREATE INDEX IF NOT EXISTS idx_history_read_{table} "
f"ON {table}({columns})"
)
error = history_schema_error(conn, allow_missing=False)
if error:
raise sqlite3.DatabaseError(error)
conn.execute("RELEASE execution_history_schema")
except BaseException:
conn.execute("ROLLBACK TO execution_history_schema")
conn.execute("RELEASE execution_history_schema")
raise
def rotate_history_epoch(conn: sqlite3.Connection) -> str:
"""Publish a fresh staging epoch without rewriting restored run epochs."""
epoch = str(uuid4())
with conn:
cursor = conn.execute(
"UPDATE execution_history_metadata SET storage_epoch=? WHERE "
"singleton_id=1",
(epoch,),
)
if cursor.rowcount != 1:
raise sqlite3.DatabaseError("Missing execution history metadata")
return epoch
-218
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@@ -1,218 +0,0 @@
"""Owned schema and bounded restore validation for frozen output locators."""
import sqlite3
from .execution_history_schema import _compact, _uuid_check
try:
from ..utils.execution_outputs import (
BUNDLE_OVERHEAD,
MAX_BUNDLE_BYTES,
MAX_IMAGE_POSITIONS,
MAX_REFERENCE_BYTES,
REFERENCE_OVERHEAD,
STATE_REASONS,
OutputBundle,
OutputReference,
validate_output_bundle,
)
except ImportError:
from utils.execution_outputs import (
BUNDLE_OVERHEAD,
MAX_BUNDLE_BYTES,
MAX_IMAGE_POSITIONS,
MAX_REFERENCE_BYTES,
REFERENCE_OVERHEAD,
STATE_REASONS,
OutputBundle,
OutputReference,
validate_output_bundle,
)
TABLE_COLUMNS = {
"execution_output_capture": (
("run_id", "TEXT", 1, 1),
("state", "TEXT", 1, 0),
("reason", "TEXT", 1, 0),
("format_version", "INTEGER", 1, 0),
("source", "TEXT", 1, 0),
),
"execution_run_outputs": (
("run_id", "TEXT", 1, 1),
("output_node_id", "TEXT", 1, 2),
("image_ordinal", "INTEGER", 1, 3),
("folder_type", "TEXT", 1, 0),
("subfolder", "TEXT", 1, 0),
("filename", "TEXT", 1, 0),
("path_style", "TEXT", 1, 0),
("root_key", "TEXT", 0, 0),
),
}
TABLE_FOREIGN_KEYS = {
"execution_output_capture": (("run_id", "execution_runs", "run_id"),),
"execution_run_outputs": (("run_id", "execution_output_capture", "run_id"),),
}
def _text_check(column: str, maximum: int, *, characters: int | None = None) -> str:
return (
f"typeof({column}) = 'text' AND length({column}) <= "
f"{maximum if characters is None else characters} "
f"AND length(CAST({column} AS BLOB)) <= {maximum} "
f"AND instr(CAST({column} AS BLOB), x'00') = 0"
)
def _enum_check(column: str, values: tuple | frozenset) -> str:
return (
f"{_text_check(column, 32)} AND {column} IN ("
+ ",".join("'" + value + "'" for value in sorted(values))
+ ")"
)
_RUN_ID_CHECK = f"{_uuid_check('run_id')} AND {_text_check('run_id', 36)}"
TABLE_CHECKS = {
"execution_output_capture": (
_RUN_ID_CHECK,
_enum_check("state", tuple(STATE_REASONS)),
_enum_check("reason", frozenset.union(*STATE_REASONS.values())),
"typeof(format_version) = 'integer' AND format_version = 1",
f"{_text_check('source', 18)} AND source = 'host_final_history'",
),
"execution_run_outputs": (
_RUN_ID_CHECK,
f"{_text_check('output_node_id', 512, characters=128)} "
"AND length(output_node_id) >= 1",
"typeof(image_ordinal) = 'integer' AND image_ordinal BETWEEN 0 AND 255",
_enum_check("folder_type", ("output", "temp")),
_text_check("subfolder", 2048),
f"{_text_check('filename', 1024)} AND length(filename) >= 1",
_enum_check("path_style", ("posix", "windows")),
f"root_key IS NULL OR ({_text_check('root_key', 64)} "
"AND length(root_key) = 64 AND root_key NOT GLOB '*[^0-9a-f]*')",
),
}
def _table_sql(table: str) -> str:
columns = TABLE_COLUMNS[table]
definitions = [
f"{name} {kind}{' NOT NULL' if required else ''}"
for name, kind, required, _ in columns
]
primary = [name for name, _, _, order in columns if order]
definitions.append(f"PRIMARY KEY ({', '.join(primary)})")
definitions.extend(f"CHECK({check})" for check in TABLE_CHECKS[table])
definitions.extend(
f"FOREIGN KEY ({column}) REFERENCES {target}({key}) "
"ON UPDATE NO ACTION ON DELETE NO ACTION"
for column, target, key in TABLE_FOREIGN_KEYS[table]
)
return f"CREATE TABLE {table} ({', '.join(definitions)})"
def install_output_schema(conn: sqlite3.Connection) -> None:
"""Install the two owned tables within the caller's migration transaction."""
for table in TABLE_COLUMNS:
conn.execute(_table_sql(table))
def output_schema_error(conn: sqlite3.Connection) -> str | None:
"""Reject altered schemas and invalid rows before returning bounded DTOs."""
if conn.execute(
"SELECT 1 FROM sqlite_master WHERE type IN ('trigger','view') LIMIT 1"
).fetchone():
return "Unsupported execution output trigger/view"
tables = {
row[0]: row[1]
for row in conn.execute("SELECT name,sql FROM sqlite_master WHERE type='table'")
if row[0] in TABLE_COLUMNS
}
if tables.keys() != TABLE_COLUMNS.keys():
return "Incomplete execution output schema"
for table, expected in TABLE_COLUMNS.items():
columns = tuple(
(row[1], row[2].upper(), row[3], row[5])
for row in conn.execute(f"PRAGMA table_xinfo({table})")
)
if columns != expected or _compact(tables[table]) != _compact(
_table_sql(table)
):
return f"{table} has invalid execution output schema"
foreign = tuple(
sorted(
(row[3], row[2], row[4], row[5], row[6], row[7])
for row in conn.execute(f"PRAGMA foreign_key_list({table})")
)
)
if foreign != tuple(
(*key, "NO ACTION", "NO ACTION", "NONE")
for key in TABLE_FOREIGN_KEYS[table]
):
return f"{table} has invalid execution output foreign keys"
for index in conn.execute(f"PRAGMA index_list({table})"):
name = index[1].replace('"', '""')
keys = tuple(
row for row in conn.execute(f'PRAGMA index_xinfo("{name}")') if row[5]
)
if (
not index[2]
or index[3] != "pk"
or index[4]
or tuple(key[2] for key in keys)
!= tuple(column[0] for column in expected if column[3])
or any(key[3] or key[4] != "BINARY" for key in keys)
):
return f"{table} has unexpected execution output index/uniqueness"
# Run every scalar guard in SQLite before any evidence text is fetched.
predicate = " AND ".join(f"({check})" for check in TABLE_CHECKS[table])
if conn.execute(
f"SELECT 1 FROM {table} WHERE NOT ({predicate}) LIMIT 1"
).fetchone():
return f"{table} contains invalid execution output records"
if conn.execute(f"PRAGMA foreign_key_check({table})").fetchone():
return f"{table} contains orphan execution output records"
reference_bytes = f"{REFERENCE_OVERHEAD} + " + " + ".join(
f"coalesce(length(CAST({column} AS BLOB)), 0)"
for column in (
"output_node_id",
"folder_type",
"subfolder",
"filename",
"path_style",
"root_key",
)
)
if conn.execute(
"SELECT 1 FROM execution_run_outputs "
f"WHERE ({reference_bytes}) > {MAX_REFERENCE_BYTES} LIMIT 1"
).fetchone():
return "Oversized execution output reference"
if conn.execute(
"SELECT 1 FROM execution_run_outputs GROUP BY run_id "
f"HAVING COUNT(*) > {MAX_IMAGE_POSITIONS} OR "
f"{BUNDLE_OVERHEAD} + SUM({reference_bytes}) > {MAX_BUNDLE_BYTES} LIMIT 1"
).fetchone():
return "Oversized execution output bundle"
try:
for run_id, state, reason, version, source in conn.execute(
"SELECT run_id,state,reason,format_version,source "
"FROM execution_output_capture"
):
references = tuple(
OutputReference(*row)
for row in conn.execute(
"SELECT output_node_id,image_ordinal,folder_type,subfolder,"
"filename,path_style,root_key FROM execution_run_outputs "
"WHERE run_id=? ORDER BY output_node_id,image_ordinal",
(run_id,),
)
)
validate_output_bundle(
OutputBundle(references, state, reason, version, source)
)
except (ValueError, TypeError, OverflowError, sqlite3.Error) as exc:
return f"Invalid execution output content: {type(exc).__name__}"
return None
-153
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@@ -1,153 +0,0 @@
"""Immutable run-owned output references, independent of mutable galleries."""
import sqlite3
from contextlib import ExitStack
from typing import Callable, ContextManager
try:
from ..utils.execution_history_events import RunFinish, encode_command
from ..utils.execution_outputs import OutputBundle, validate_output_bundle
except ImportError:
from utils.execution_history_events import RunFinish, encode_command
from utils.execution_outputs import OutputBundle, validate_output_bundle
_REFERENCE_FIELDS = (
"output_node_id",
"image_ordinal",
"folder_type",
"subfolder",
"filename",
"path_style",
"root_key",
)
_REFERENCE_COLUMNS = ",".join(_REFERENCE_FIELDS)
def _capture(conn: sqlite3.Connection, run_id: str) -> sqlite3.Row | None:
capture = conn.execute(
"SELECT state,reason,format_version,source FROM execution_output_capture "
"WHERE run_id=?",
(run_id,),
).fetchone()
# Legacy callers may disable FK enforcement; never adopt orphan evidence.
if capture is None:
if conn.execute(
"SELECT 1 FROM execution_run_outputs WHERE run_id=? LIMIT 1", (run_id,)
).fetchone():
raise sqlite3.DatabaseError("Output references have no capture header")
elif (
conn.execute(
"SELECT 1 FROM execution_runs WHERE run_id=?", (run_id,)
).fetchone()
is None
):
raise sqlite3.DatabaseError("Output capture has no execution parent")
return capture
def _references(conn: sqlite3.Connection, run_id: str) -> list[tuple]:
return [
tuple(row)
for row in conn.execute(
f"SELECT {_REFERENCE_COLUMNS} FROM execution_run_outputs "
"WHERE run_id=? ORDER BY output_node_id,image_ordinal",
(run_id,),
)
]
class ExecutionOutputOperations:
"""Compose with ExecutionHistoryOperations on PromptDatabase."""
def write_execution_outputs_for_finish(
self,
command: RunFinish,
bundle: OutputBundle,
*,
generation_guard: Callable[[], ContextManager[bool]] | None = None,
) -> bool:
encode_command(command)
if type(command) is not RunFinish:
raise ValueError("Expected execution finish command")
validate_output_bundle(bundle)
header = (bundle.state, bundle.reason, bundle.format_version, bundle.source)
prepared = [
tuple(getattr(reference, field) for field in _REFERENCE_FIELDS)
for reference in bundle.references
]
# Enter after BEGIN and retain the guard until COMMIT/ROLLBACK finishes.
with ExitStack() as guards:
with self._execution_transaction(command.storage_epoch) as conn:
if generation_guard is not None and not guards.enter_context(
generation_guard()
):
return False
parent = conn.execute(
"SELECT run_id FROM execution_runs WHERE session_id=? "
"AND queue_item_id=? AND storage_epoch=?",
(command.session_id, command.queue_item_id, command.storage_epoch),
).fetchone()
if parent is None:
return False
run_id = parent[0]
capture = _capture(conn, run_id)
if capture is not None:
if capture[0] != "conflicting" and (
tuple(capture) != header
or _references(conn, run_id) != prepared
):
conn.execute(
"UPDATE execution_output_capture SET "
"state='conflicting',reason='conflicting' WHERE run_id=?",
(run_id,),
)
return True
conn.execute(
"INSERT INTO execution_output_capture "
"(run_id,state,reason,format_version,source) VALUES(?,?,?,?,?)",
(run_id, *header),
)
conn.executemany(
f"INSERT INTO execution_run_outputs (run_id,{_REFERENCE_COLUMNS}) "
"VALUES(?,?,?,?,?,?,?,?)",
[(run_id, *reference) for reference in prepared],
)
return True
def get_execution_outputs(self, run_id: str) -> dict:
"""Read frozen evidence in one snapshot without resolving its locators."""
conn = self.model.get_connection()
own_transaction = not conn.in_transaction
if own_transaction:
conn.execute("BEGIN")
try:
capture = _capture(conn, run_id)
if capture is None:
return {
"state": "not_captured",
"reason": None,
"format_version": None,
"source": None,
"references": [],
}
references = []
for row in _references(conn, run_id):
reference = dict(zip(_REFERENCE_FIELDS, row))
reference.update(
file_identity="unverified",
newly_generated="unknown",
context_membership="unknown",
transient=reference["folder_type"] == "temp",
)
references.append(reference)
return {
"state": capture[0],
"reason": capture[1],
"format_version": capture[2],
"source": capture[3],
"references": references,
}
finally:
if own_transaction:
conn.rollback()
-127
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@@ -1,127 +0,0 @@
"""Bounded exact-path saved display within the caller's history snapshot."""
import os
import sqlite3
try:
from ..utils.inspection_response import MAX_LIBRARY_BYTES, _library_projection
except ImportError:
from utils.inspection_response import MAX_LIBRARY_BYTES, _library_projection
def _display_bytes(value: bytes | None) -> str | None:
if value is None:
return None
return value.decode("utf-8", "replace")
def _tags(
conn: sqlite3.Connection, owner: int, *, pair: bool
) -> tuple[list[str], bool]:
table, column = (
("prompt_pair_tags", "pair_id") if pair else ("prompt_tags", "prompt_id")
)
tags = []
used = 0
cursor = conn.execute(
f"SELECT substr(CAST(t.name AS BLOB),1,?) FROM {table} pt "
f"JOIN tags t ON t.id=pt.tag_id WHERE pt.{column}=? LIMIT 129",
(MAX_LIBRARY_BYTES + 1, owner),
)
for row in cursor:
used += len(row[0])
if used > MAX_LIBRARY_BYTES or len(tags) == 128:
return [], True
tags.append(_display_bytes(row[0]))
return tags, False
def _saved_projection(conn: sqlite3.Connection, row: sqlite3.Row) -> tuple[dict, dict]:
saved = {"prompt_id": row["prompt_id"]}
pairs = list(
conn.execute(
"SELECT pp.id,pp.positive_prompt_id,"
"substr(CAST(pp.title AS BLOB),1,?) AS title,"
"substr(CAST(pp.category AS BLOB),1,?) AS category "
"FROM image_prompt_pairs ip JOIN prompt_pairs pp ON pp.id=ip.pair_id "
"WHERE ip.image_id=? LIMIT 2",
(MAX_LIBRARY_BYTES + 1, MAX_LIBRARY_BYTES + 1, row["id"]),
)
)
if len(pairs) > 1:
return saved, _library_projection({"status": "limited"})
pair = pairs[0] if pairs else None
title = pair["title"] if pair is not None else None
category = pair["category"] if pair is not None else row["category"]
tags, limited = _tags(
conn,
pair["id"] if pair is not None else row["prompt_id"],
pair=pair is not None,
)
limited = limited or any(
value is not None and len(value) > MAX_LIBRARY_BYTES
for value in (title, category)
)
if pair is not None:
saved["pair"] = {
"id": pair["id"],
"positive_prompt_id": pair["positive_prompt_id"],
}
library = _library_projection(
{
"status": "linked",
"positive_id": row["prompt_id"],
"pair_id": pair["id"] if pair is not None else None,
"title": _display_bytes(title),
"category": _display_bytes(category),
"tags": tags,
"metadata_scope": "pair" if pair is not None else "positive",
}
)
if limited:
library = _library_projection({"status": "limited", "tags": []})
return saved, library
def read_history_gallery(
conn: sqlite3.Connection, paths: tuple[str, ...]
) -> dict[str, dict]:
"""Read at most two rows/path and two pair associations/unique row; no writes."""
if not conn.in_transaction:
raise sqlite3.ProgrammingError("Saved history display requires caller snapshot")
if (
type(paths) is not tuple
or len(paths) > 100
or any(
type(path) is not str
or not os.path.isabs(path)
or path != os.path.normcase(os.path.normpath(path))
or "\0" in path
for path in paths
)
):
raise ValueError("Invalid history gallery paths")
result = {}
for path in dict.fromkeys(paths):
rows = list(
conn.execute(
"SELECT gi.id,gi.prompt_id,"
"substr(CAST(p.category AS BLOB),1,?) AS category "
"FROM generated_images gi JOIN prompts p ON p.id=gi.prompt_id "
"WHERE gi.file_path=? OR gi.image_path=? LIMIT 2",
(MAX_LIBRARY_BYTES + 1, path, path),
)
)
match = "none" if not rows else "unique" if len(rows) == 1 else "ambiguous"
saved, library = None, _library_projection(
{"status": "none" if not rows else "ambiguous"}
)
if match == "unique":
saved, library = _saved_projection(conn, rows[0])
result[path] = {
"gallery_match": match,
"gallery_image_id": rows[0]["id"] if match == "unique" else None,
"saved": saved,
"library": library,
}
return result
-527
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@@ -1,527 +0,0 @@
"""Snapshot-owned, bounded projections of immutable execution evidence."""
import codecs
from contextlib import contextmanager
from contextvars import ContextVar
from dataclasses import dataclass
import hashlib
import json
import re
import sqlite3
from typing import Iterator
from .execution_contexts import content_digest
from .execution_history import HistoryEpochChanged
from .execution_outputs import _capture, _REFERENCE_COLUMNS
from .library import _ELIGIBLE
RunKey = tuple[int, str, int, str]
class HistoryCaptureChanged(ValueError):
"""A continuation no longer describes the stored output capture header."""
@dataclass(frozen=True)
class WindowPosition:
raw_text_id: str
upper: RunKey
before: RunKey
@dataclass(frozen=True)
class OutputPosition:
capture_fingerprint: str
after: tuple[str, int]
_DIGEST = re.compile(r"[0-9a-f]{64}")
_UUID = re.compile(r"[0-9a-f]{8}(?:-[0-9a-f]{4}){3}-[0-9a-f]{12}")
def _valid_digest(value: object) -> bool:
return type(value) is str and _DIGEST.fullmatch(value) is not None
def _valid_run_key(value: object) -> bool:
return (
type(value) is tuple
and len(value) == 4
and all(type(value[i]) is int and 0 <= value[i] <= 2**63 - 1 for i in (0, 2))
and all(
type(value[i]) is str and _UUID.fullmatch(value[i]) is not None
for i in (1, 3)
)
)
def _valid_coordinate(value: object) -> bool:
if type(value) is not tuple or len(value) != 2:
return False
node, ordinal = value
if not (
type(node) is str
and 1 <= len(node) <= 128
and "\0" not in node
and type(ordinal) is int
and 0 <= ordinal <= 255
):
return False
try:
return len(node.encode("utf-8")) <= 512
except UnicodeError:
return False
def _validate_window_position(position: WindowPosition | None) -> None:
if position is not None and not (
type(position) is WindowPosition
and _valid_digest(position.raw_text_id)
and _valid_run_key(position.upper)
and _valid_run_key(position.before)
):
raise ValueError("Invalid history window position")
def _validate_output_position(position: OutputPosition | None) -> None:
if position is not None and not (
type(position) is OutputPosition
and _valid_digest(position.capture_fingerprint)
and _valid_coordinate(position.after)
):
raise ValueError("Invalid history output position")
_snapshots: ContextVar[tuple] = ContextVar("history_read_snapshots", default=())
_KEY = "(r.observed_dequeue_at,r.session_id,r.queue_item_id,r.run_id)"
_ORDER = (
"r.observed_dequeue_at DESC,r.session_id COLLATE BINARY DESC,"
"r.queue_item_id DESC,r.run_id COLLATE BINARY DESC"
)
_MATCHING = (
"SELECT DISTINCT rc.run_id FROM execution_prompt_snapshots s "
"JOIN execution_contexts c ON c.positive_snapshot_id=s.snapshot_id "
"JOIN execution_run_contexts rc ON rc.context_id=c.context_id "
"WHERE s.raw_text_id=?"
)
def _limit(limit: int) -> None:
if type(limit) is not int or not 1 <= limit <= 100:
raise ValueError("History limit must be an integer from 1 to 100")
def _key(row: dict) -> RunKey:
return tuple(
row[name]
for name in ("observed_dequeue_at", "session_id", "queue_item_id", "run_id")
)
def _context_capture(conn: sqlite3.Connection, run_id: str) -> dict:
row = conn.execute(
"SELECT state,reason,format_version FROM execution_context_capture "
"WHERE run_id=?",
(run_id,),
).fetchone()
return (
dict(row)
if row is not None
else {"state": "not_captured", "reason": "missing", "format_version": None}
)
def _output_header(conn: sqlite3.Connection, run_id: str) -> tuple[dict, int | None]:
row = _capture(conn, run_id)
if row is None:
return (
dict(state="not_captured", reason=None, format_version=None, source=None),
None,
)
count = conn.execute(
"SELECT COUNT(*) FROM execution_run_outputs WHERE run_id=?", (run_id,)
).fetchone()[0]
return dict(row), count
def _list_status(capture: dict) -> str:
if capture["state"] == "not_captured":
return "not_captured"
return "complete" if capture["state"] == "complete" else "incomplete"
def _output_summary(conn: sqlite3.Connection, run_id: str) -> dict:
capture, count = _output_header(conn, run_id)
return dict(
capture, retained_occurrence_count=count, list_status=_list_status(capture)
)
def _fingerprint(capture: dict, count: int | None) -> str:
return hashlib.sha256(
json.dumps(
[
1,
*(capture[k] for k in ("state", "reason", "format_version", "source")),
count,
],
ensure_ascii=False,
allow_nan=False,
separators=(",", ":"),
).encode("utf-8")
).hexdigest()
def _receipt(run_id: str, row: sqlite3.Row) -> dict:
return {
"occurrence": {
"run_id": run_id,
"output_node_id": row["output_node_id"],
"image_ordinal": row["image_ordinal"],
},
"reference": {
key: row[key]
for key in (
"folder_type",
"subfolder",
"filename",
"path_style",
"root_key",
)
},
"file_identity": "unverified",
"newly_generated": "unknown",
"context_membership": "unknown",
"transient": row["folder_type"] == "temp",
}
class HistoryReadOperations:
"""Read evidence only inside an explicitly owned, epoch-first snapshot."""
@contextmanager
def recorded_history_snapshot(
self, expected_epoch: str | None = None
) -> Iterator[str]:
conn = self.model.get_connection()
if conn.in_transaction:
raise sqlite3.ProgrammingError(
"History reads require their own transaction"
)
conn.execute("BEGIN")
token = _snapshots.set((*_snapshots.get(), conn))
try:
epoch = self.get_execution_epoch()
if expected_epoch is not None and epoch != expected_epoch:
raise HistoryEpochChanged(epoch)
yield epoch
finally:
try:
conn.rollback()
finally:
_snapshots.reset(token)
def _history_connection(self) -> sqlite3.Connection:
conn = self.model.get_connection()
if not conn.in_transaction or conn not in _snapshots.get():
raise sqlite3.ProgrammingError(
"History read requires recorded_history_snapshot"
)
return conn
def list_history_window(
self,
positive_id: int,
*,
limit: int = 40,
after: WindowPosition | None = None,
restart: bool = False,
) -> dict | None:
conn = self._history_connection()
_limit(limit)
_validate_window_position(after)
if type(restart) is not bool or (
restart and (after is None or after.before != after.upper)
):
raise ValueError("Invalid history restart position")
saved = conn.execute(
"SELECT CASE WHEN typeof(p.text)='text' AND "
"length(CAST(p.text AS BLOB))<=65536 THEN p.text ELSE NULL END AS text "
f"FROM prompts p WHERE p.id=? AND ({_ELIGIBLE})",
(positive_id,),
).fetchone()
if saved is None:
return None
text = saved["text"]
raw_id = None if text is None else content_digest("text", (text,))
if after is not None and after.raw_text_id != raw_id:
raise ValueError("History position text scope changed")
group = {
"positive_id": positive_id,
"raw_text_id": raw_id,
"relation": "exact_frozen_raw_text",
"scope_status": "uncapturable_text" if text is None else "no_matches",
}
result = dict(
group=group,
recorded_run_count=0,
items=[],
context_summaries=[],
has_more=False,
next_position=None,
resume_position=None,
)
if (
raw_id is None
or conn.execute(
"SELECT 1 FROM execution_context_texts WHERE text_id=? "
"AND text_value=? COLLATE BINARY",
(raw_id, text),
).fetchone()
is None
):
return result
where = f"r.run_id IN ({_MATCHING})"
params = [raw_id]
if after is not None:
where += f" AND {_KEY}<=(?,?,?,?)"
params.extend(after.upper)
count = conn.execute(
f"SELECT COUNT(*) FROM execution_runs r WHERE {where}", params
).fetchone()[0]
result["recorded_run_count"] = count
group["scope_status"] = "matched" if count else "no_matches"
if after is not None and not restart:
where += f" AND {_KEY}<(?,?,?,?)"
params.extend(after.before)
rows = [
dict(row)
for row in conn.execute(
f"SELECT r.* FROM execution_runs r WHERE {where} "
f"ORDER BY {_ORDER} LIMIT ?",
(*params, limit + 1),
)
]
more = len(rows) > limit
rows = rows[:limit]
if not rows:
return result
upper = after.upper if after is not None else _key(rows[0])
result["resume_position"] = WindowPosition(raw_id, upper, upper)
if more:
result["next_position"] = WindowPosition(raw_id, upper, _key(rows[-1]))
result["has_more"] = more
rows.reverse()
by_run = {row["run_id"]: row for row in rows}
for row in rows:
row["diagnostics_available"] = any(
row[field] is not None
for field in ("node_id", "node_type", "exception_type")
)
for field in ("node_id", "node_type", "exception_type"):
del row[field]
row["diagnostics_omitted"] = bool(row["diagnostics_omitted"])
row["context_capture"] = _context_capture(conn, row["run_id"])
row["output_summary"] = _output_summary(conn, row["run_id"])
row["matching_anchors"] = []
placeholders = ",".join("?" for _ in rows)
anchors = conn.execute(
"SELECT rc.run_id,rc.anchor_id,rc.context_id,rc.evidence_json,"
"c.positive_snapshot_id,c.negative_snapshot_id,"
"substr(CAST(t.text_value AS BLOB),1,512) AS prefix,"
"length(CAST(t.text_value AS BLOB)) AS byte_length "
"FROM execution_run_contexts rc JOIN execution_contexts c "
"ON c.context_id=rc.context_id JOIN execution_prompt_snapshots p "
"ON p.snapshot_id=c.positive_snapshot_id "
"LEFT JOIN execution_prompt_snapshots n "
"ON n.snapshot_id=c.negative_snapshot_id "
"LEFT JOIN execution_context_texts t ON t.text_id=n.raw_text_id "
f"WHERE rc.run_id IN ({placeholders}) AND p.raw_text_id=? "
"ORDER BY rc.anchor_id COLLATE BINARY,rc.run_id COLLATE BINARY",
(*by_run, raw_id),
)
summaries = {}
evidence_by_context = {}
for anchor in anchors:
reference = {
key: anchor[key]
for key in (
"anchor_id",
"context_id",
"positive_snapshot_id",
"negative_snapshot_id",
)
}
by_run[anchor["run_id"]]["matching_anchors"].append(reference)
context_id = anchor["context_id"]
if context_id not in summaries:
prefix = b"" if anchor["byte_length"] == 0 else anchor["prefix"]
preview = (
None
if prefix is None
else codecs.getincrementaldecoder("utf-8")().decode(
prefix, final=False
)[:100]
)
evidence_by_context[context_id] = []
summaries[context_id] = {
key: anchor[key]
for key in (
"context_id",
"positive_snapshot_id",
"negative_snapshot_id",
)
}
summaries[context_id]["negative_raw"] = {
"state": (
"unknown"
if preview is None
else "explicit_empty" if not preview else "known"
),
"preview": preview,
"truncated": (
False
if preview is None
else len(preview.encode("utf-8")) < anchor["byte_length"]
),
"evidence": evidence_by_context[context_id],
}
negative = json.loads(anchor["evidence_json"])["negative"]
evidence = (
negative["raw"]
if negative is not None
else dict(provenance="unknown", source="unknown", reason="missing")
)
evidence_by_context[context_id].append(
{
"run_id": anchor["run_id"],
"anchor_id": anchor["anchor_id"],
**evidence,
}
)
# Context order follows its first chronological matching run, then anchor.
ordered = {}
for row in rows:
for anchor in row["matching_anchors"]:
ordered.setdefault(
anchor["context_id"], summaries[anchor["context_id"]]
)
result["items"] = rows
result["context_summaries"] = list(ordered.values())
return result
def get_history_run(self, run_id: str) -> dict | None:
conn = self._history_connection()
run = self.get_execution_run(run_id)
if run is None:
return None
capture = self.get_execution_contexts(run_id)
snapshots = {
row["anchor_id"]: row
for row in conn.execute(
"SELECT rc.anchor_id,c.positive_snapshot_id,c.negative_snapshot_id,"
"p.raw_text_id AS positive_raw_text_id "
"FROM execution_run_contexts rc JOIN execution_contexts c "
"ON c.context_id=rc.context_id LEFT JOIN execution_prompt_snapshots p "
"ON p.snapshot_id=c.positive_snapshot_id WHERE rc.run_id=?",
(run_id,),
)
}
contexts = capture.pop("contexts")
for context in contexts:
row = snapshots[context["anchor_id"]]
context.update(
{
key: row[key]
for key in (
"positive_snapshot_id",
"negative_snapshot_id",
"positive_raw_text_id",
)
}
)
pair = context["pair_id"]
context["navigation"] = {
"positive_available": context["positive_prompt_id"] is not None
and conn.execute(
f"SELECT 1 FROM prompts p WHERE p.id=? AND ({_ELIGIBLE})",
(context["positive_prompt_id"],),
).fetchone()
is not None,
"negative_available": context["negative_prompt_id"] is not None,
"pair_available": pair is not None
and conn.execute(
"SELECT 1 FROM prompt_pairs WHERE id=? AND archived=0", (pair,)
).fetchone()
is not None,
}
return dict(
run=run,
context_capture=capture,
contexts=contexts,
output_summary=_output_summary(conn, run_id),
)
def list_history_outputs(
self,
run_id: str,
*,
limit: int = 40,
after: OutputPosition | None = None,
) -> dict | None:
conn = self._history_connection()
_limit(limit)
_validate_output_position(after)
# Validate header/orphans even when the requested parent does not exist.
capture, count = _output_header(conn, run_id)
if self.get_execution_run(run_id) is None:
return None
fingerprint = _fingerprint(capture, count)
if after is not None and after.capture_fingerprint != fingerprint:
raise HistoryCaptureChanged("History output capture changed")
where = "run_id=?"
params = [run_id]
if after is not None:
where += " AND (output_node_id COLLATE BINARY,image_ordinal)>(?,?)"
params.extend(after.after)
rows = list(
conn.execute(
f"SELECT {_REFERENCE_COLUMNS} FROM execution_run_outputs WHERE {where} "
"ORDER BY output_node_id COLLATE BINARY,image_ordinal LIMIT ?",
(*params, limit + 1),
)
)
more = len(rows) > limit
rows = rows[:limit]
position = (
OutputPosition(
fingerprint, (rows[-1]["output_node_id"], rows[-1]["image_ordinal"])
)
if more
else None
)
return dict(
capture=capture,
retained_occurrence_count=count,
list_status=_list_status(capture),
capture_fingerprint=fingerprint,
items=[_receipt(run_id, row) for row in rows],
has_more=more,
next_position=position,
)
def get_history_occurrence(
self, run_id: str, node: str, ordinal: int
) -> dict | None:
conn = self._history_connection()
capture, _ = _output_header(conn, run_id)
row = conn.execute(
f"SELECT {_REFERENCE_COLUMNS} FROM execution_run_outputs "
"WHERE run_id=? AND output_node_id=? COLLATE BINARY AND image_ordinal=?",
(run_id, node, ordinal),
).fetchone()
return (
dict(capture=capture, receipt=_receipt(run_id, row))
if row is not None
else None
)
-321
View File
@@ -1,321 +0,0 @@
"""Read-only positive-parent views over existing prompt and pair tables."""
_ELIGIBLE = """(EXISTS(SELECT 1 FROM prompt_pairs ep WHERE ep.positive_prompt_id=p.id)
OR EXISTS(SELECT 1 FROM generated_images eg WHERE eg.prompt_id=p.id)
OR NOT EXISTS(SELECT 1 FROM prompt_pairs en WHERE en.negative_prompt_id=p.id))"""
_ORDERS = {
"newest": ("COALESCE(julianday(p.created_at),0)", "DESC"),
"oldest": ("COALESCE(julianday(p.created_at),0)", "ASC"),
"name": ("LOWER(p.text)", "ASC"),
"rating": ("COALESCE(p.rating,0)", "DESC"),
}
def _escape(value: str) -> str:
return value.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")
def _limit(value: int) -> None:
if type(value) is not int or not 1 <= value <= 200:
raise ValueError("limit must be between 1 and 200")
def _filter(text: str, category: str | None, tags: list[str]) -> tuple[str, list]:
if not isinstance(text, str) or len(text) > 500:
raise ValueError("Search text must be a string of at most 500 characters")
if category is not None and (not isinstance(category, str) or len(category) > 200):
raise ValueError("Invalid library category")
if (
not isinstance(tags, list)
or len(tags) > 30
or any(not isinstance(tag, str) or not tag or len(tag) > 200 for tag in tags)
):
raise ValueError("Invalid library tags")
parent, pair, parent_params, pair_params = [], ["pp.archived=0"], [], []
if text:
parent.append("p.text LIKE ? ESCAPE '\\'")
parent_params.append(f"%{_escape(text)}%")
pair.append(
"(p.text LIKE ? ESCAPE '\\' OR n.text LIKE ? ESCAPE '\\' "
"OR pp.title LIKE ? ESCAPE '\\')"
)
pair_params.extend([f"%{_escape(text)}%"] * 3)
if category is not None:
parent.append("p.category=?")
pair.append("pp.category=?")
parent_params.append(category)
pair_params.append(category)
for tag in tags:
parent.append(
"EXISTS(SELECT 1 FROM prompt_tags pt JOIN tags t ON t.id=pt.tag_id "
"WHERE pt.prompt_id=p.id AND t.name=?)"
)
pair.append(
"EXISTS(SELECT 1 FROM prompt_pair_tags pt JOIN tags t ON t.id=pt.tag_id "
"WHERE pt.pair_id=pp.id AND t.name=?)"
)
parent_params.append(tag)
pair_params.append(tag)
condition = (
"("
+ (" AND ".join(parent) or "1=1")
+ (
") OR EXISTS(SELECT 1 FROM prompt_pairs pp "
"LEFT JOIN prompts n ON n.id=pp.negative_prompt_id "
"WHERE pp.positive_prompt_id=p.id AND "
)
+ " AND ".join(pair)
+ ")"
)
return f"({_ELIGIBLE}) AND ({condition})", [*parent_params, *pair_params]
class LibraryOperations:
"""Group reusable negative variants without changing legacy prompt queries."""
def _library_parents(
self,
where: str,
params: list,
suffix: str = "",
sort_expression: str | None = None,
) -> list[dict]:
conn = self.model.get_connection()
rows = conn.execute(
"SELECT p.id,p.text,p.category,p.rating,p.created_at,"
+ (f"{sort_expression} AS _sort," if sort_expression else "")
+ "(SELECT COUNT(*) FROM prompt_pairs v WHERE v.positive_prompt_id=p.id "
"AND v.archived=0) AS variant_count,"
"(SELECT COUNT(*) FROM generated_images g "
"WHERE g.prompt_id=p.id) AS image_count "
"FROM prompts p WHERE " + where + suffix,
params,
).fetchall()
result = [{**dict(row), "tags": []} for row in rows]
if result:
by_id = {row["id"]: row for row in result}
marks = ",".join("?" for _ in result)
for row in conn.execute(
"SELECT pt.prompt_id,t.name FROM prompt_tags pt "
"JOIN tags t ON t.id=pt.tag_id "
f"WHERE pt.prompt_id IN ({marks}) ORDER BY t.name",
list(by_id),
):
by_id[row["prompt_id"]]["tags"].append(row["name"])
return result
def list_library(
self,
*,
text: str = "",
category: str | None = None,
tags: list[str] | None = None,
sort: str = "newest",
limit: int = 40,
after: dict | None = None,
) -> dict:
_limit(limit)
if sort not in _ORDERS:
raise ValueError("Unknown library sort order")
where, params = _filter(text, category, [] if tags is None else tags)
conn = self.model.get_connection()
ceiling = conn.execute("SELECT COALESCE(MAX(id),0) FROM prompts").fetchone()[0]
if after is not None:
if (
not isinstance(after, dict)
or set(after) != {"ceiling", "value", "id"}
or type(after["ceiling"]) is not int
or type(after["id"]) is not int
):
raise ValueError("Invalid library cursor")
ceiling = after["ceiling"]
where += " AND p.id<=?"
params.append(ceiling)
total = conn.execute(
"SELECT COUNT(*) FROM prompts p WHERE " + where, params
).fetchone()[0]
expression, direction = _ORDERS[sort]
if after is not None:
operator = ">" if direction == "ASC" else "<"
where += (
f" AND ({expression}{operator}? OR "
f"({expression}=? AND p.id{operator}?))"
)
params.extend([after["value"], after["value"], after["id"]])
rows = self._library_parents(
where,
[*params, limit + 1],
f" ORDER BY {expression} {direction},p.id {direction} LIMIT ?",
sort_expression=expression,
)
has_more = len(rows) > limit
rows = rows[:limit]
next_key = None
if has_more:
next_key = {
"ceiling": ceiling,
"value": rows[-1]["_sort"],
"id": rows[-1]["id"],
}
for row in rows:
row.pop("_sort")
return {
"items": rows,
"total": total,
"has_more": has_more,
"next_key": next_key,
}
def get_library_positive(
self,
positive_id: int,
*,
variant_limit: int = 40,
variant_after: int | None = None,
) -> dict | None:
_limit(variant_limit)
if variant_after is not None and (
type(variant_after) is not int or variant_after <= 0
):
raise ValueError("Invalid variant cursor")
rows = self._library_parents(_ELIGIBLE + " AND p.id=?", [positive_id])
if not rows:
return None
conn = self.model.get_connection()
where = "pp.positive_prompt_id=? AND pp.archived=0"
params = [positive_id]
variant_total = conn.execute(
"SELECT COUNT(*) FROM prompt_pairs pp WHERE " + where, params
).fetchone()[0]
if variant_after is not None:
where += " AND pp.id<?"
params.append(variant_after)
variants = [
dict(row)
for row in conn.execute(
"SELECT pp.id,COALESCE(n.text,'') AS negative_text,"
"pp.category,pp.title,"
"pp.negative_prompt_id IS NULL AS explicit_empty,"
"(SELECT COUNT(DISTINCT image_id) FROM image_prompt_pairs ip "
"WHERE ip.pair_id=pp.id) AS image_count "
"FROM prompt_pairs pp "
"LEFT JOIN prompts n ON n.id=pp.negative_prompt_id "
"WHERE " + where + " ORDER BY pp.id DESC LIMIT ?",
[*params, variant_limit + 1],
)
]
variants_has_more = len(variants) > variant_limit
variants = variants[:variant_limit]
by_id = {row["id"]: row for row in variants}
for row in variants:
row["tags"] = []
row["explicit_empty"] = bool(row["explicit_empty"])
if by_id:
marks = ",".join("?" for _ in by_id)
for row in conn.execute(
"SELECT pt.pair_id,t.name FROM prompt_pair_tags pt "
"JOIN tags t ON t.id=pt.tag_id "
f"WHERE pt.pair_id IN ({marks}) ORDER BY t.name",
list(by_id),
):
by_id[row["pair_id"]]["tags"].append(row["name"])
unassigned = conn.execute(
"SELECT COUNT(*) FROM generated_images g WHERE g.prompt_id=? "
"AND NOT EXISTS(SELECT 1 FROM image_prompt_pairs ip "
"WHERE ip.image_id=g.id)",
(positive_id,),
).fetchone()[0]
return {
"positive": rows[0],
"variants": variants,
"unassigned_image_count": unassigned,
"variant_total": variant_total,
"variants_has_more": variants_has_more,
"variants_next_key": variants[-1]["id"] if variants_has_more else None,
}
def get_library_options(self) -> dict:
rows = (
self.model.get_connection()
.execute(
"SELECT category FROM (SELECT p.category AS category "
"FROM prompts p WHERE "
+ _ELIGIBLE
+ (" UNION SELECT category FROM prompt_pairs " "WHERE archived=0) ")
+ "WHERE category IS NOT NULL AND TRIM(category)!='' "
"ORDER BY category COLLATE NOCASE,category"
)
.fetchall()
)
return {"categories": [row["category"] for row in rows]}
def get_library_previews(self, positive_ids: list[int]) -> dict[int, list[dict]]:
"""Read at most two links per parent in one bounded page query."""
if (
not isinstance(positive_ids, list)
or len(positive_ids) > 200
or any(type(value) is not int or value <= 0 for value in positive_ids)
):
raise ValueError("Invalid preview parent IDs")
if not positive_ids:
return {}
result = {value: [] for value in positive_ids}
marks = ",".join("?" for _ in positive_ids)
rows = self.model.get_connection().execute(
"WITH ranked AS (SELECT id,prompt_id,image_path,ROW_NUMBER() OVER "
"(PARTITION BY prompt_id ORDER BY id DESC) AS position "
f"FROM generated_images WHERE prompt_id IN ({marks})) "
"SELECT id,prompt_id,image_path FROM ranked WHERE position<=2 "
"ORDER BY prompt_id,id DESC",
positive_ids,
)
for row in rows:
result[row["prompt_id"]].append(dict(row))
return result
def list_library_images(
self,
positive_id: int,
*,
pair_id: int | None = None,
limit: int = 40,
after: int | None = None,
) -> dict:
_limit(limit)
conn = self.model.get_connection()
if (
pair_id is not None
and not conn.execute(
"SELECT 1 FROM prompt_pairs WHERE id=? "
"AND positive_prompt_id=? AND archived=0",
(pair_id, positive_id),
).fetchone()
):
raise ValueError("Variant does not belong to this positive prompt")
where, params = "g.prompt_id=?", [positive_id]
if pair_id is not None:
where += (
" AND EXISTS(SELECT 1 FROM image_prompt_pairs ip "
"WHERE ip.image_id=g.id AND ip.pair_id=?)"
)
params.append(pair_id)
total = conn.execute(
"SELECT COUNT(*) FROM generated_images g WHERE " + where, params
).fetchone()[0]
if after is not None:
if type(after) is not int or after <= 0:
raise ValueError("Invalid image cursor")
where += " AND g.id<?"
params.append(after)
rows = conn.execute(
"SELECT g.id,g.image_path FROM generated_images g WHERE "
+ where
+ " ORDER BY g.id DESC LIMIT ?",
[*params, limit + 1],
).fetchall()
return {
"images": [dict(row) for row in rows[:limit]],
"total": total,
"has_more": len(rows) > limit,
"next_key": rows[limit - 1]["id"] if len(rows) > limit else None,
}
+41 -336
View File
@@ -4,22 +4,14 @@ Database schema and models for KikoTextEncode prompt storage.
import contextlib
import datetime
import json
import math
import shutil
import sqlite3
import os
import threading
import tempfile
import weakref
from contextlib import closing
from pathlib import Path
from typing import Optional, Set, Tuple
from .execution_history_schema import (
history_schema_error,
migrate_execution_history,
rotate_history_epoch,
)
from typing import Set, Tuple
# Import logging system
try:
@@ -37,41 +29,6 @@ except ImportError:
ISO_TIMESTAMP_FORMAT = "%Y-%m-%dT%H:%M:%f+00:00"
MAX_PAIR_PROVENANCE_LENGTH = 4_000_000
MAX_PAIR_PROVENANCE_DEPTH = 64
def pair_provenance_error(encoded: object) -> Optional[str]:
"""Validate the same bounded JSON object for live writes and restores."""
if not isinstance(encoded, str):
return "Pair provenance must be JSON text"
if len(encoded) > MAX_PAIR_PROVENANCE_LENGTH:
return "Pair provenance exceeds the size limit"
try:
value = json.loads(encoded)
except (ValueError, TypeError, RecursionError):
return "Pair provenance is not readable JSON"
if not isinstance(value, dict):
return "Pair provenance must be a JSON object"
pending = [(iter((value,)), 0)]
while pending:
children, depth = pending[-1]
try:
item = next(children)
except StopIteration:
pending.pop()
continue
if depth > MAX_PAIR_PROVENANCE_DEPTH:
return "Pair provenance exceeds the nesting limit"
if isinstance(item, float) and not math.isfinite(item):
return "Pair provenance contains nonfinite numbers"
if isinstance(item, dict):
pending.append((iter(item.values()), depth + 1))
elif isinstance(item, list):
pending.append((iter(item), depth + 1))
return None
def utc_now_iso() -> str:
"""Current UTC time as ISO text with microseconds.
@@ -124,7 +81,7 @@ class PromptModel:
self.logger.debug(f"Initializing database model with path: {db_path}")
self.db_path = db_path
# One connection per thread (see get_connection); every open connection
# is also tracked here so close_all can clean up across threads.
# is also tracked here so restore_from_file can close them all.
self._local = threading.local()
self._connections: Set[sqlite3.Connection] = set()
self._conn_lock = threading.Lock()
@@ -278,225 +235,6 @@ class PromptModel:
# Image uniqueness by full path instead of basename (3.2.4)
self._migrate_image_uniqueness_by_path(conn)
self._migrate_prompt_pairs(conn)
migrate_execution_history(conn)
def _migrate_prompt_pairs(self, conn: sqlite3.Connection) -> None:
conn.execute("SAVEPOINT prompt_pair_schema")
try:
conn.execute("""
CREATE TABLE IF NOT EXISTS prompt_pairs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
positive_prompt_id INTEGER NOT NULL,
negative_prompt_id INTEGER,
title TEXT,
category TEXT,
rating INTEGER CHECK(rating BETWEEN 1 AND 5),
notes TEXT,
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
last_used_at TEXT,
run_count INTEGER NOT NULL DEFAULT 0,
archived INTEGER NOT NULL DEFAULT 0 CHECK(archived IN (0, 1)),
FOREIGN KEY(positive_prompt_id)
REFERENCES prompts(id) ON DELETE RESTRICT,
FOREIGN KEY(negative_prompt_id)
REFERENCES prompts(id) ON DELETE RESTRICT,
UNIQUE(positive_prompt_id, negative_prompt_id)
)
""")
conn.execute("""
CREATE TABLE IF NOT EXISTS prompt_pair_tags (
pair_id INTEGER NOT NULL,
tag_id INTEGER NOT NULL,
PRIMARY KEY(pair_id, tag_id),
FOREIGN KEY(pair_id) REFERENCES prompt_pairs(id) ON DELETE CASCADE,
FOREIGN KEY(tag_id) REFERENCES tags(id) ON DELETE CASCADE
)
""")
conn.execute("""
CREATE TABLE IF NOT EXISTS image_prompt_pairs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
image_id INTEGER NOT NULL,
pair_id INTEGER NOT NULL,
provenance TEXT NOT NULL,
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY(image_id)
REFERENCES generated_images(id) ON DELETE CASCADE,
FOREIGN KEY(pair_id) REFERENCES prompt_pairs(id) ON DELETE RESTRICT,
UNIQUE(pair_id, image_id, provenance)
)
""")
self._create_pair_indexes(conn)
error = self._pair_schema_error(conn)
if error:
raise sqlite3.DatabaseError(error)
conn.execute("RELEASE prompt_pair_schema")
except BaseException:
conn.execute("ROLLBACK TO prompt_pair_schema")
conn.execute("RELEASE prompt_pair_schema")
raise
@staticmethod
def _create_pair_indexes(conn: sqlite3.Connection) -> None:
conn.execute(
"CREATE UNIQUE INDEX IF NOT EXISTS idx_prompt_pairs_positive_only "
"ON prompt_pairs(positive_prompt_id) WHERE negative_prompt_id IS NULL"
)
for name, target in (
("idx_prompt_pairs_negative", "prompt_pairs(negative_prompt_id)"),
("idx_prompt_pair_tags_tag", "prompt_pair_tags(tag_id)"),
("idx_image_prompt_pairs_image", "image_prompt_pairs(image_id)"),
):
conn.execute(f"CREATE INDEX IF NOT EXISTS {name} ON {target}")
@staticmethod
def _pair_schema_error(conn: sqlite3.Connection) -> Optional[str]:
required = {
"prompt_pairs": {
"id",
"positive_prompt_id",
"negative_prompt_id",
"title",
"category",
"rating",
"notes",
"created_at",
"updated_at",
"last_used_at",
"run_count",
"archived",
},
"prompt_pair_tags": {"pair_id", "tag_id"},
"image_prompt_pairs": {
"id",
"image_id",
"pair_id",
"provenance",
"created_at",
},
}
present = {
row[0]
for row in conn.execute("SELECT name FROM sqlite_master WHERE type='table'")
}
if not present.intersection(required):
return None
if not set(required).issubset(present):
return "Incomplete prompt pair schema"
foreign_keys = {
"prompt_pairs": {
("positive_prompt_id", "prompts", "id", "RESTRICT"),
("negative_prompt_id", "prompts", "id", "RESTRICT"),
},
"prompt_pair_tags": {
("pair_id", "prompt_pairs", "id", "CASCADE"),
("tag_id", "tags", "id", "CASCADE"),
},
"image_prompt_pairs": {
("pair_id", "prompt_pairs", "id", "RESTRICT"),
("image_id", "generated_images", "id", "CASCADE"),
},
}
unique = {
"prompt_pairs": ("positive_prompt_id", "negative_prompt_id"),
"prompt_pair_tags": ("pair_id", "tag_id"),
"image_prompt_pairs": ("pair_id", "image_id", "provenance"),
}
non_null = {
"prompt_pairs": {
"positive_prompt_id",
"created_at",
"updated_at",
"run_count",
"archived",
},
"prompt_pair_tags": {"pair_id", "tag_id"},
"image_prompt_pairs": {"pair_id", "image_id", "provenance", "created_at"},
}
integer_columns = {
"id",
"positive_prompt_id",
"negative_prompt_id",
"pair_id",
"tag_id",
"image_id",
"rating",
"run_count",
"archived",
}
for table, columns in required.items():
info = {row[1]: row for row in conn.execute(f"PRAGMA table_info({table})")}
if not columns.issubset(info):
return f"{table} is missing required pair columns"
if any(not info[name][3] for name in non_null[table]):
return f"{table} has nullable required pair columns"
if any(
info[name][2].upper()
!= ("INTEGER" if name in integer_columns else "TEXT")
for name in columns
):
return f"{table} has invalid pair column types"
primary = tuple(
name
for name in sorted(info, key=lambda name: info[name][5])
if info[name][5]
)
if primary != (
("pair_id", "tag_id") if table == "prompt_pair_tags" else ("id",)
):
return f"{table} has an invalid pair primary key"
actual_fks = {
(row[3], row[2], row[4], row[6])
for row in conn.execute(f"PRAGMA foreign_key_list({table})")
}
if actual_fks != foreign_keys[table]:
return f"{table} has invalid pair foreign key definitions"
if conn.execute(f"PRAGMA foreign_key_check({table})").fetchone():
return f"{table} contains foreign key violations"
indexes = list(conn.execute(f"PRAGMA index_list({table})"))
index_columns = {}
for row in indexes:
name = row[1].replace('"', '""')
index_columns[row[1]] = tuple(
item[2] for item in conn.execute(f'PRAGMA index_info("{name}")')
)
if not any(
row[2] and not row[4] and index_columns[row[1]] == unique[table]
for row in indexes
):
return f"{table} is missing pair uniqueness constraints"
if table == "prompt_pairs":
null_unique = False
for row in indexes:
if (
row[2]
and row[4]
and index_columns[row[1]] == ("positive_prompt_id",)
):
sql = conn.execute(
"SELECT sql FROM sqlite_master WHERE type='index' AND name"
"=?",
(row[1],),
).fetchone()[0]
if " ".join(sql.lower().split()).endswith(
"where negative_prompt_id is null"
):
null_unique = True
if not null_unique:
return "prompt_pairs is missing empty-negative pair uniqueness"
if conn.execute(
"SELECT 1 FROM image_prompt_pairs ip "
"JOIN prompt_pairs pp ON pp.id=ip.pair_id "
"JOIN generated_images gi ON gi.id=ip.image_id "
"WHERE pp.positive_prompt_id IS NOT gi.prompt_id LIMIT 1"
).fetchone():
return "Image pair association has a different positive prompt owner"
for row in conn.execute("SELECT provenance FROM image_prompt_pairs"):
error = pair_provenance_error(row[0])
if error:
return error
return None
def _create_indexes(self, conn: sqlite3.Connection) -> None:
"""
@@ -550,7 +288,7 @@ class PromptModel:
if conn is not None and self._local.generation == self._generation:
return conn
# check_same_thread=False only so close_all can clean up other
# check_same_thread=False only so restore_from_file can close other
# threads' connections; each connection is still used by one thread.
conn = sqlite3.connect(
self.db_path, check_same_thread=False, timeout=BUSY_TIMEOUT_SECONDS
@@ -1034,18 +772,6 @@ class PromptModel:
False,
"prompts table is missing required columns: " + ", ".join(missing),
)
forbidden = conn.execute(
"SELECT type FROM sqlite_master WHERE type IN ('trigger', 'view') "
"LIMIT 1"
).fetchone()
if forbidden:
return False, f"Database contains an unsupported {forbidden[0]}"
pair_error = PromptModel._pair_schema_error(conn)
if pair_error:
return False, pair_error
history_error = history_schema_error(conn)
if history_error:
return False, history_error
return True, "ok"
except sqlite3.Error as e:
return False, f"Invalid SQLite database: {e}"
@@ -1060,29 +786,41 @@ class PromptModel:
PromptModel instances that share the file (nodes, image monitor,
queue hook, API) simply see the new pages on their next statement.
Nothing is swapped underneath open handles and no -wal/-shm file has
to be deleted, which also keeps Windows happy. If SQLite refuses
replacement (for example, incompatible page sizes in WAL mode),
propagate the error rather than copy files under other open owners.
to be deleted, which also keeps Windows happy. When SQLite refuses
(page sizes differ while the target is in WAL mode) fall back to a
file copy with every connection of this instance closed first.
"""
source = sqlite3.connect(
Path(src_path).resolve().as_uri() + "?mode=ro", uri=True
)
try:
source.backup(self.get_connection())
try:
source.backup(self.get_connection())
return
except sqlite3.OperationalError as e:
self.logger.warning(
f"Online restore failed ({e}); falling back to a file copy"
)
finally:
source.close()
self.close_all()
shutil.copy2(src_path, self.db_path)
for suffix in ("-wal", "-shm"):
stale = self.db_path + suffix
if os.path.exists(stale):
os.remove(stale)
def restore_from_file(self, src_path: str) -> str:
"""
Replace the live database with the file at src_path.
A disposable SQLite backup of the source is migrated and verified first.
Only then is the current database backed up next to itself as
``<db_path>.backup_<YYYYmmdd_HHMMSS>`` (WAL content included), and the
staged pages replace the live pages through SQLite's backup API.
Migration failures never replace live content or modify the source.
An online replacement failure leaves the live database intact and
propagates; the completed safety backup remains available.
The current database is first backed up next to itself as
``<db_path>.backup_<YYYYmmdd_HHMMSS>`` (WAL content included), the
pages of ``src_path`` are copied into the live database through
SQLite's backup API (visible to every open connection) and the schema
migrations run on the restored content.
Callers should run verify_database_file(src_path) first.
Args:
src_path: SQLite file to restore
@@ -1093,52 +831,19 @@ class PromptModel:
Raises:
RuntimeError: If the previous database could not be backed up
sqlite3.OperationalError: If SQLite refuses online replacement
OSError: If the restored file could not be copied into place
"""
ok, reason = self.verify_database_file(src_path)
if not ok:
raise ValueError(reason)
with tempfile.TemporaryDirectory(prefix="prompt-manager-restore-") as directory:
staged_path = str(Path(directory) / "staged.db")
source = sqlite3.connect(
Path(src_path).resolve().as_uri() + "?mode=ro", uri=True
)
try:
with closing(sqlite3.connect(staged_path)) as destination:
source.backup(destination)
finally:
source.close()
staged = None
try:
staged = PromptModel(staged_path)
rotate_history_epoch(staged.get_connection())
ok, reason = self.verify_database_file(staged_path)
if not ok:
raise ValueError(reason)
staged.close_all()
backup_path = ""
if os.path.exists(self.db_path):
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
backup_path = f"{self.db_path}.backup_{timestamp}"
if not self.backup_database(backup_path):
raise RuntimeError("Could not back up the current database")
self.logger.info(f"Current database backed up to: {backup_path}")
try:
self._replace_contents_from(staged_path)
except sqlite3.OperationalError as exc:
exc._prompt_manager_restore_backup_created = bool(backup_path)
raise
with PromptModel._init_lock:
PromptModel._initialized_paths.add(self._schema_key())
self.logger.info(f"Database restored from {src_path}")
from .execution_history import notify_history_restore
backup_path = ""
if os.path.exists(self.db_path):
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
backup_path = f"{self.db_path}.backup_{timestamp}"
if not self.backup_database(backup_path):
raise RuntimeError("Could not back up the current database")
self.logger.info(f"Current database backed up to: {backup_path}")
notify_history_restore(self.db_path)
return backup_path
finally:
if staged is not None:
staged.close_all()
with PromptModel._init_lock:
PromptModel._initialized_paths.discard(
os.path.normcase(os.path.realpath(staged_path))
)
self._replace_contents_from(src_path)
with PromptModel._init_lock:
PromptModel._initialized_paths.discard(self._schema_key())
self._ensure_database_exists()
self.logger.info(f"Database restored from {src_path}")
return backup_path
+37 -155
View File
@@ -9,12 +9,6 @@ import os
from typing import Optional, List, Dict, Any
from .models import PromptModel, normalize_image_path, utc_now_iso
from .pairs import PairDependencyError, PairOperations
from .library import LibraryOperations
from .execution_history import ExecutionHistoryOperations
from .execution_contexts import ExecutionContextOperations
from .execution_outputs import ExecutionOutputOperations
from .history_reads import HistoryReadOperations
# Import logging system
try:
@@ -90,10 +84,7 @@ def _resolve_db_path(db_path: Optional[str] = None) -> str:
if db_path is None:
try:
try:
from ..py.config import PromptManagerConfig
except ImportError:
from py.config import PromptManagerConfig
from py.config import PromptManagerConfig
db_path = PromptManagerConfig.DEFAULT_DB_PATH
except Exception:
@@ -155,14 +146,7 @@ def _coerce_file_info(metadata: Any) -> tuple:
)
class PromptDatabase(
PairOperations,
LibraryOperations,
ExecutionHistoryOperations,
ExecutionContextOperations,
ExecutionOutputOperations,
HistoryReadOperations,
):
class PromptDatabase:
"""Database operations class for managing prompts."""
def __init__(self, db_path: Optional[str] = None):
@@ -597,8 +581,7 @@ class PromptDatabase(
Returns:
bool: True if deletion was successful, False otherwise
"""
with self._pair_transaction() as conn:
self._ensure_prompts_unpaired(conn, [prompt_id])
with self.model.get_connection() as conn:
# First delete related images to avoid foreign key constraint
conn.execute(
"DELETE FROM generated_images WHERE prompt_id = ?", (prompt_id,)
@@ -614,7 +597,7 @@ class PromptDatabase(
Returns:
Number of prompts deleted.
"""
with self._pair_transaction() as conn:
with self.model.get_connection() as conn:
# Get IDs first for cascade cleanup
ids = [
r[0]
@@ -624,7 +607,6 @@ class PromptDatabase(
]
if not ids:
return 0
self._ensure_prompts_unpaired(conn, ids)
placeholders = ",".join("?" * len(ids))
conn.execute(
f"DELETE FROM generated_images WHERE prompt_id IN ({placeholders})",
@@ -650,9 +632,7 @@ class PromptDatabase(
"""
with self.model.get_connection() as conn:
cursor = conn.execute(
"SELECT TRIM(category) AS category FROM prompts WHERE "
"category IS NOT NULL AND TRIM(category) != '' UNION "
"SELECT TRIM(category) AS category FROM prompt_pairs WHERE "
"SELECT DISTINCT TRIM(category) as category FROM prompts WHERE "
"category IS NOT NULL AND TRIM(category) != '' ORDER BY category"
)
return [row["category"] for row in cursor.fetchall()]
@@ -719,16 +699,16 @@ class PromptDatabase(
def get_all_tags(self) -> List[str]:
"""
Get all unique tags linked to a standalone prompt or reusable pair.
Get all unique tags that are in use (linked to at least one prompt).
Returns:
Sorted list of tag names
"""
with self.model.get_connection() as conn:
cursor = conn.execute(
"SELECT t.name AS tag FROM tags t WHERE "
"EXISTS(SELECT 1 FROM prompt_tags pt WHERE pt.tag_id=t.id) OR "
"EXISTS(SELECT 1 FROM prompt_pair_tags pp WHERE pp.tag_id=t.id) "
"SELECT DISTINCT t.name AS tag "
"FROM prompt_tags pt "
"JOIN tags t ON pt.tag_id = t.id "
"ORDER BY t.name"
)
return [row["tag"] for row in cursor.fetchall()]
@@ -804,8 +784,7 @@ class PromptDatabase(
Returns tags whose name starts with ``prefix`` (case-insensitive),
counted over the prompts that carry every tag in ``with_tags``; the
context tags themselves are left out. Counts include separate standalone
and pair references, with owner types kept distinct. Ordered by count/name.
context tags themselves are left out. Ordered by count, then name.
"""
seen = set()
context = []
@@ -820,11 +799,11 @@ class PromptDatabase(
if context:
placeholders = ",".join("?" * len(context))
where.append(
"(pt.kind,pt.owner_id) IN ("
" SELECT pt2.kind,pt2.owner_id FROM tag_refs pt2"
"pt.prompt_id IN ("
" SELECT pt2.prompt_id FROM prompt_tags pt2"
" JOIN tags t2 ON t2.id = pt2.tag_id"
f" WHERE t2.name COLLATE NOCASE IN ({placeholders})"
" GROUP BY pt2.kind,pt2.owner_id"
" GROUP BY pt2.prompt_id"
" HAVING COUNT(DISTINCT lower(t2.name)) = ?)"
)
params.extend(context)
@@ -834,11 +813,8 @@ class PromptDatabase(
params.append(max(1, int(limit)))
sql = (
"WITH tag_refs(kind,owner_id,tag_id) AS ("
"SELECT 'prompt',prompt_id,tag_id FROM prompt_tags UNION ALL "
"SELECT 'pair',pair_id,tag_id FROM prompt_pair_tags) "
"SELECT t.name AS name, COUNT(*) AS count"
" FROM tag_refs pt JOIN tags t ON t.id = pt.tag_id"
" FROM prompt_tags pt JOIN tags t ON t.id = pt.tag_id"
f" WHERE {' AND '.join(where)}"
" GROUP BY t.id"
" ORDER BY count DESC, t.name COLLATE NOCASE ASC"
@@ -945,8 +921,6 @@ class PromptDatabase(
old_name = old_name.strip()
new_name = new_name.strip()
if old_name == new_name:
return {"success": True, "affected_count": 0, "skipped_count": 0}
with self.model.get_connection() as conn:
cursor = conn.execute("SELECT id FROM tags WHERE name = ?", (old_name,))
@@ -968,14 +942,12 @@ class PromptDatabase(
if existing_new:
# Target tag exists — merge: move links, handle conflicts, delete old
new_tag_id = existing_new["id"]
for junction in ("prompt_tags", "prompt_pair_tags"):
conn.execute(
f"UPDATE OR IGNORE {junction} SET tag_id = ? WHERE tag_id = ?",
(new_tag_id, old_tag_id),
)
conn.execute(
f"DELETE FROM {junction} WHERE tag_id = ?", (old_tag_id,)
)
conn.execute(
"UPDATE OR IGNORE prompt_tags SET tag_id = ? WHERE tag_id = ?",
(new_tag_id, old_tag_id),
)
# Delete remaining links (conflicts = prompt already had the target tag)
conn.execute("DELETE FROM prompt_tags WHERE tag_id = ?", (old_tag_id,))
conn.execute("DELETE FROM tags WHERE id = ?", (old_tag_id,))
else:
# Simple rename
@@ -994,7 +966,7 @@ class PromptDatabase(
"""
Remove a tag from all prompts that use it.
Deleting from tags cascades to standalone and pair tag relationships.
With junction tables, deleting from the tags table cascades to prompt_tags.
Args:
tag_name: Tag name to remove
@@ -1061,27 +1033,20 @@ class PromptDatabase(
if not src_row:
continue
src_id = src_row["id"]
if src_id == target_id:
continue
cursor = conn.execute(
"SELECT COUNT(*) as c FROM prompt_tags WHERE tag_id = ?", (src_id,)
)
src_count = cursor.fetchone()["c"]
pair_count = conn.execute(
"SELECT COUNT(*) FROM prompt_pair_tags WHERE tag_id = ?", (src_id,)
).fetchone()[0]
if src_count or pair_count:
for junction in ("prompt_tags", "prompt_pair_tags"):
conn.execute(
f"UPDATE OR IGNORE {junction} "
"SET tag_id = ? WHERE tag_id = ?",
(target_id, src_id),
)
conn.execute(
f"DELETE FROM {junction} WHERE tag_id = ?", (src_id,)
)
if src_count > 0:
# Move links from source to target (ignore conflicts)
conn.execute(
"UPDATE OR IGNORE prompt_tags SET tag_id = ? WHERE tag_id = ?",
(target_id, src_id),
)
# Delete remaining (conflicts = prompt already had target tag)
conn.execute("DELETE FROM prompt_tags WHERE tag_id = ?", (src_id,))
tags_merged += 1
affected += src_count
@@ -1325,7 +1290,7 @@ class PromptDatabase(
"""
self.logger.info("Starting duplicate cleanup process with image preservation")
try:
with self._pair_transaction() as conn:
with self.model.get_connection() as conn:
# Find duplicates by text content (case-insensitive)
# Note: Removed ORDER BY from GROUP_CONCAT for SQLite compatibility
# We'll sort the IDs manually after fetching
@@ -1354,11 +1319,6 @@ class PromptDatabase(
id_date_pairs.sort(key=lambda x: x[1]) # Sort by date
sorted_ids = [int(pair[0]) for pair in id_date_pairs]
try:
self._ensure_prompts_unpaired(conn, sorted_ids)
except PairDependencyError:
continue
# Keep the oldest one (first), merge and delete the rest
primary_id = sorted_ids[0] # Keep the oldest
duplicate_ids = sorted_ids[1:]
@@ -1904,8 +1864,7 @@ class PromptDatabase(
Raises:
sqlite3.IntegrityError: Another prompt already has the new hash.
"""
with self._pair_transaction() as conn:
self._ensure_prompts_unpaired(conn, [prompt_id])
with self.model.get_connection() as conn:
cursor = conn.execute(
"UPDATE prompts SET text = ?, hash = ?, updated_at = ? WHERE id = ?",
(
@@ -1953,8 +1912,7 @@ class PromptDatabase(
Number of prompts actually deleted.
"""
count = 0
with self._pair_transaction() as conn:
self._ensure_prompts_unpaired(conn, prompt_ids)
with self.model.get_connection() as conn:
for pid in prompt_ids:
conn.execute("DELETE FROM generated_images WHERE prompt_id = ?", (pid,))
cursor = conn.execute("DELETE FROM prompts WHERE id = ?", (pid,))
@@ -2016,24 +1974,18 @@ class PromptDatabase(
return count
def get_image_prompt_info(
self,
image_path: str,
allow_filename_fallback: bool = True,
*,
report_ambiguity: bool = False,
self, image_path: str, allow_filename_fallback: bool = True
) -> Optional[Dict[str, Any]]:
"""Look up prompt + image metadata for a given image path.
Returns a dict with prompt_id, text, category, tags, rating, notes,
workflow_data, prompt_metadata, generation_time, parameters — or None.
Opting into report_ambiguity returns only an association_status marker
for multiple matches; default callers still receive None.
"""
with self.model.get_connection() as conn:
cursor = conn.execute(
"""SELECT gi.prompt_id, p.text, p.category, p.rating, p.notes,
gi.workflow_data, gi.prompt_metadata, gi.generation_time,
gi.parameters, gi.id, gi.image_path, gi.file_path
gi.parameters
FROM generated_images gi
JOIN prompts p ON gi.prompt_id = p.id
WHERE gi.image_path = ? OR gi.file_path = ?
@@ -2045,73 +1997,9 @@ class PromptDatabase(
f"%{escape_like(os.path.basename(image_path))}",
),
)
rows = cursor.fetchall()
exact = [
row
for row in rows
if row[10] == image_path or row[11] == normalize_image_path(image_path)
]
matches = exact or rows
if len(matches) != 1:
if report_ambiguity and matches:
return {"association_status": "ambiguous"}
row = cursor.fetchone()
if not row:
return None
row = matches[0]
associations = self.get_image_prompt_pairs(row[9])
pair_ids = {item["pair_id"] for item in associations}
pair = (
self.get_prompt_pair(next(iter(pair_ids)))
if len(pair_ids) == 1
else None
)
candidates = []
for item in associations:
evidence = item["provenance"]
positive_side = evidence.get("positive")
negative_side = evidence.get("negative")
if not isinstance(positive_side, dict) or not isinstance(
negative_side, dict
):
continue
positive, negative = positive_side.get("text"), negative_side.get(
"text"
)
if not isinstance(positive, str) or not isinstance(negative, str):
continue
sources = []
for side in (positive_side, negative_side):
provenance = side.get("provenance")
sources.append(
provenance.get("text_source")
if isinstance(provenance, dict)
else None
)
score = sources.count("execution")
source = (
"execution"
if score == 2
else (
"mixed"
if score
else (
"embedded-parameters"
if sources == ["embedded-parameters"] * 2
else "graph-inferred"
)
)
)
candidates.append((score, positive, negative, source))
context = None
if candidates and pair:
best_score = max(item[0] for item in candidates)
contexts = {item[1:] for item in candidates if item[0] == best_score}
if len(contexts) == 1:
positive, negative, source = next(iter(contexts))
context = {
"positive_text": positive,
"negative_text": negative,
"text_source": source,
}
tags = self._get_prompt_tags(conn, row[0])
try:
workflow = json.loads(row[5]) if row[5] else None
@@ -2122,8 +2010,6 @@ class PromptDatabase(
except (json.JSONDecodeError, TypeError):
prompt_meta = None
return {
"pair": pair,
"pair_context": context,
"prompt_id": row[0],
"text": row[1],
"category": row[2],
@@ -2164,15 +2050,11 @@ class PromptDatabase(
Returns number of prompts removed.
"""
with self._pair_transaction() as conn:
with self.model.get_connection() as conn:
cursor = conn.execute("""
SELECT p.id FROM prompts p
LEFT JOIN generated_images gi ON p.id = gi.prompt_id
WHERE gi.prompt_id IS NULL
AND NOT EXISTS (
SELECT 1 FROM prompt_pairs pp
WHERE pp.positive_prompt_id = p.id OR pp.negative_prompt_id = p.id
)
AND NOT EXISTS (
SELECT 1 FROM prompt_tags pt
JOIN tags t ON pt.tag_id = t.id
-136
View File
@@ -1,136 +0,0 @@
"""Atomic metadata enrichment for a single known generation context."""
import json
import os
from typing import Any, Dict
from .models import normalize_image_path
from .operations import _coerce_file_info
try:
from ..utils.hashing import generate_prompt_hash
except ImportError:
from utils.hashing import generate_prompt_hash
def ingest_resolved_pair(
db: Any, image_path: str, metadata: Dict[str, Any], resolution: Dict[str, Any]
) -> Dict[str, Any]:
state = resolution.get("state", "unresolved")
if state != "resolved":
return {"status": state, "pairs_added": 0, "links_added": 0}
positive, negative = resolution["positive"], resolution["negative"]
positive_text = positive.get("storage_text", positive["text"])
negative_text = negative.get("storage_text", negative["text"])
normalized = normalize_image_path(image_path)
provenance = {"resolver_version": 1, "positive": positive, "negative": negative}
encoded = json.dumps(
provenance, sort_keys=True, separators=(",", ":"), allow_nan=False
)
with db._pair_transaction() as conn:
images = conn.execute(
"SELECT gi.*,p.hash AS positive_hash FROM generated_images gi "
"JOIN prompts p ON p.id=gi.prompt_id "
"WHERE gi.file_path=? OR gi.image_path=?",
(normalized, image_path),
).fetchall()
if len(images) > 1 or (
images and images[0]["positive_hash"] != generate_prompt_hash(positive_text)
):
return {"status": "conflict", "pairs_added": 0, "links_added": 0}
existing = images[0] if images else None
if existing:
prior = conn.execute(
"SELECT n.hash AS negative_hash FROM image_prompt_pairs ip "
"JOIN prompt_pairs pp ON pp.id=ip.pair_id "
"LEFT JOIN prompts n ON n.id=pp.negative_prompt_id WHERE ip.image_id=?",
(existing["id"],),
).fetchall()
expected = (
generate_prompt_hash(negative_text) if negative_text.strip() else None
)
if any(row["negative_hash"] != expected for row in prior):
return {"status": "conflict", "pairs_added": 0, "links_added": 0}
prior_pair = conn.execute(
"SELECT pp.id FROM prompt_pairs pp "
"JOIN prompts p ON p.id=pp.positive_prompt_id "
"LEFT JOIN prompts n ON n.id=pp.negative_prompt_id "
"WHERE p.hash=? AND n.hash IS ?",
(
generate_prompt_hash(positive_text),
generate_prompt_hash(negative_text) if negative_text.strip() else None,
),
).fetchone()
pair_id = db._save_pair(conn, positive_text, negative_text)
pair = conn.execute(
"SELECT * FROM prompt_pairs WHERE id=?", (pair_id,)
).fetchone()
pairs_added = int(prior_pair is None)
file_size, width, height, image_format = _coerce_file_info(metadata)
snapshots = {
column: json.dumps(metadata[key], sort_keys=True, allow_nan=False)
for column, key in (
("workflow_data", "workflow"),
("prompt_metadata", "prompt"),
("parameters", "parameters"),
)
if key in metadata
}
info = {
"file_size": file_size,
"width": width,
"height": height,
"format": image_format,
}
snapshots.update(
{key: value for key, value in info.items() if value is not None}
)
changed = False
if existing:
image_id = existing["id"]
updates = {
key: value for key, value in snapshots.items() if existing[key] != value
}
if updates:
conn.execute(
"UPDATE generated_images SET "
+ ",".join(f"{key}=?" for key in updates)
+ " WHERE id=?",
[*updates.values(), image_id],
)
changed = True
else:
columns = ["prompt_id", "image_path", "filename", "file_path", *snapshots]
values = [
pair["positive_prompt_id"],
image_path,
os.path.basename(image_path),
normalized,
*snapshots.values(),
]
image_id = conn.execute(
"INSERT INTO generated_images("
+ ",".join(columns)
+ ") VALUES("
+ ",".join("?" for _ in columns)
+ ")",
values,
).lastrowid
linked = conn.execute(
"SELECT 1 FROM image_prompt_pairs WHERE pair_id=? "
"AND image_id=? AND provenance=?",
(pair_id, image_id, encoded),
).fetchone()
db._link_image_to_pair(conn, pair_id, image_id, provenance)
status = (
"added"
if existing is None
else "enriched" if changed or not linked else "unchanged"
)
return {
"status": status,
"pairs_added": pairs_added,
"links_added": int(not linked),
"pair_id": pair_id,
"image_id": image_id,
}
-387
View File
@@ -1,387 +0,0 @@
"""Ordered reusable prompt pairs and their generation provenance."""
import json
import sqlite3
from contextlib import contextmanager
from typing import Any, Dict, Iterator, List, Optional
from .models import pair_provenance_error, utc_now_iso
try:
from ..utils.hashing import generate_prompt_hash
except ImportError:
from utils.hashing import generate_prompt_hash
class PairDependencyError(ValueError):
"""An operation would change or remove content used by a saved pair."""
def _validate_metadata(
title: Optional[str],
category: Optional[str],
tags: Optional[List[str]],
rating: Optional[int],
notes: Optional[str],
) -> Optional[List[str]]:
for name, value in (("title", title), ("category", category), ("notes", notes)):
if value is not None and not isinstance(value, str):
raise ValueError(f"{name} must be a string")
if rating is not None and (type(rating) is not int or not 1 <= rating <= 5):
raise ValueError("Rating must be between 1 and 5")
if tags is None:
return None
if not isinstance(tags, list) or any(not isinstance(tag, str) for tag in tags):
raise ValueError("tags must be a list of strings")
return list(dict.fromkeys(tag.strip() for tag in tags if tag.strip()))
class PairOperations:
"""Connection-level pair operations mixed into PromptDatabase."""
@contextmanager
def _pair_transaction(self) -> Iterator[sqlite3.Connection]:
conn = self.model.get_connection()
if conn.in_transaction:
raise RuntimeError("Pair operations require their own transaction")
with conn:
conn.execute("BEGIN IMMEDIATE")
yield conn
def _ensure_prompts_unpaired(
self, conn: sqlite3.Connection, prompt_ids: List[int]
) -> None:
if not prompt_ids:
return
placeholders = ",".join("?" for _ in prompt_ids)
row = conn.execute(
f"SELECT id FROM prompt_pairs WHERE positive_prompt_id IN ({placeholders}) "
f"OR negative_prompt_id IN ({placeholders}) LIMIT 1",
[*prompt_ids, *prompt_ids],
).fetchone()
if row:
raise PairDependencyError(
f"Prompt belongs to saved pair {row['id']}; delete the pair first "
"or save changed text as a new prompt"
)
def _pair_component(self, conn: sqlite3.Connection, text: str) -> int:
prompt_hash = generate_prompt_hash(text)
conn.execute(
"INSERT INTO prompts(text, hash, created_at, updated_at) VALUES(?,?,?,?) "
"ON CONFLICT(hash) DO NOTHING",
(text.strip(), prompt_hash, utc_now_iso(), utc_now_iso()),
)
return conn.execute(
"SELECT id FROM prompts WHERE hash = ?", (prompt_hash,)
).fetchone()["id"]
def _sync_pair_tags(
self, conn: sqlite3.Connection, pair_id: int, tags: List[str]
) -> None:
conn.execute("DELETE FROM prompt_pair_tags WHERE pair_id = ?", (pair_id,))
for tag_id in self._ensure_tags(conn, tags).values():
conn.execute(
"INSERT INTO prompt_pair_tags(pair_id,tag_id) VALUES(?,?)",
(pair_id, tag_id),
)
def save_prompt_pair(
self,
positive_text: str,
negative_text: str = "",
*,
title: Optional[str] = None,
category: Optional[str] = None,
tags: Optional[List[str]] = None,
rating: Optional[int] = None,
notes: Optional[str] = None,
) -> int:
"""Save an ordered pair atomically; repeat saves preserve its metadata."""
with self._pair_transaction() as conn:
return self._save_pair(
conn,
positive_text,
negative_text,
title=title,
category=category,
tags=tags,
rating=rating,
notes=notes,
)
def _save_pair(
self,
conn: sqlite3.Connection,
positive_text: str,
negative_text: str = "",
*,
title: Optional[str] = None,
category: Optional[str] = None,
tags: Optional[List[str]] = None,
rating: Optional[int] = None,
notes: Optional[str] = None,
) -> int:
"""Save an ordered pair atomically; repeat saves preserve its metadata."""
if not isinstance(positive_text, str) or not positive_text.strip():
raise ValueError("Positive prompt text cannot be empty")
if not isinstance(negative_text, str):
raise ValueError("Negative prompt text must be a string; use '' for empty")
tags = _validate_metadata(title, category, tags, rating, notes)
positive = self._pair_component(conn, positive_text)
negative = (
self._pair_component(conn, negative_text) if negative_text.strip() else None
)
existing = conn.execute(
"SELECT id FROM prompt_pairs WHERE positive_prompt_id = ? "
"AND negative_prompt_id IS ?",
(positive, negative),
).fetchone()
if existing:
return existing["id"]
now = utc_now_iso()
pair_id = conn.execute(
"INSERT INTO prompt_pairs(positive_prompt_id,negative_prompt_id,title,"
"category,rating,notes,created_at,updated_at) VALUES(?,?,?,?,?,?,?,?)",
(positive, negative, title, category, rating, notes, now, now),
).lastrowid
if tags:
self._sync_pair_tags(conn, pair_id, tags)
return pair_id
def _read_pair_rows(
self, conn: sqlite3.Connection, where: str, params: List[Any], suffix: str = ""
) -> List[Dict[str, Any]]:
rows = conn.execute(
"SELECT pp.*, p.text AS positive_text, "
"COALESCE(n.text,'') AS negative_text,"
"(SELECT COUNT(DISTINCT image_id) FROM image_prompt_pairs ip "
"WHERE ip.pair_id=pp.id) AS image_count FROM prompt_pairs pp "
"JOIN prompts p ON p.id=pp.positive_prompt_id "
"LEFT JOIN prompts n ON n.id=pp.negative_prompt_id WHERE " + where + suffix,
params,
).fetchall()
pairs = [dict(row) for row in rows]
if not pairs:
return pairs
by_id = {pair["id"]: pair for pair in pairs}
for pair in pairs:
pair["archived"] = bool(pair["archived"])
pair["tags"] = []
placeholders = ",".join("?" for _ in by_id)
for row in conn.execute(
"SELECT pt.pair_id,t.name FROM prompt_pair_tags pt JOIN tags t ON "
f"t.id=pt.tag_id WHERE pt.pair_id IN ({placeholders}) ORDER BY t.name",
list(by_id),
):
by_id[row["pair_id"]]["tags"].append(row["name"])
return pairs
def get_prompt_pair(self, pair_id: int) -> Optional[Dict[str, Any]]:
"""Return components, pair metadata and image count, including archives."""
rows = self._read_pair_rows(self.model.get_connection(), "pp.id = ?", [pair_id])
return rows[0] if rows else None
def list_prompt_pairs(
self,
*,
text: Optional[str] = None,
category: Optional[str] = None,
tags: Optional[List[str]] = None,
include_archived: bool = False,
limit: int = 50,
offset: int = 0,
sort: str = "newest",
) -> Dict[str, Any]:
"""List pairs with all-tag filtering and stable paginated ordering."""
orders = {
"newest": "pp.id DESC",
"last_used_desc": "julianday(pp.last_used_at) DESC, pp.id DESC",
}
if sort not in orders:
raise ValueError("Unknown pair sort order")
if type(limit) is not int or not 1 <= limit <= 500:
raise ValueError("limit must be between 1 and 500")
if type(offset) is not int or offset < 0:
raise ValueError("offset must be a nonnegative integer")
tags = _validate_metadata(None, category, tags, None, None)
if text is not None and not isinstance(text, str):
raise ValueError("text must be a string")
clauses, params = ["1=1"], []
if not include_archived:
clauses.append("pp.archived=0")
if category is not None:
clauses.append("pp.category = ?")
params.append(category)
if text:
clauses.append("(p.text LIKE ? OR n.text LIKE ? OR pp.title LIKE ?)")
params.extend([f"%{text}%"] * 3)
for tag in tags or []:
clauses.append(
"EXISTS(SELECT 1 FROM prompt_pair_tags pt JOIN tags t "
"ON t.id=pt.tag_id WHERE pt.pair_id=pp.id AND t.name=?)"
)
params.append(tag)
where = " AND ".join(clauses)
conn = self.model.get_connection()
total = conn.execute(
"SELECT COUNT(*) FROM prompt_pairs pp "
"JOIN prompts p ON p.id=pp.positive_prompt_id "
"LEFT JOIN prompts n ON n.id=pp.negative_prompt_id WHERE " + where,
params,
).fetchone()[0]
pairs = self._read_pair_rows(
conn,
where,
[*params, limit, offset],
f" ORDER BY {orders[sort]} LIMIT ? OFFSET ?",
)
return {
"pairs": pairs,
"total": total,
"limit": limit,
"offset": offset,
"has_more": offset + len(pairs) < total,
}
def update_prompt_pair_metadata(
self,
pair_id: int,
*,
title: Optional[str] = None,
category: Optional[str] = None,
tags: Optional[List[str]] = None,
rating: Optional[int] = None,
notes: Optional[str] = None,
) -> bool:
"""Update pair metadata explicitly; None preserves and empty values clear."""
tags = _validate_metadata(title, category, tags, rating, notes)
changes = {
key: value
for key, value in (
("title", title),
("category", category),
("rating", rating),
("notes", notes),
)
if value is not None
}
if not changes and tags is None:
return False
with self._pair_transaction() as conn:
if not conn.execute(
"SELECT 1 FROM prompt_pairs WHERE id=?", (pair_id,)
).fetchone():
return False
changes["updated_at"] = utc_now_iso()
conn.execute(
"UPDATE prompt_pairs SET "
+ ",".join(f"{key}=?" for key in changes)
+ " WHERE id=?",
[*changes.values(), pair_id],
)
if tags is not None:
self._sync_pair_tags(conn, pair_id, tags)
return True
def archive_prompt_pair(self, pair_id: int, archived: bool = True) -> bool:
"""Hide a reusable pair without changing components or generation history."""
if type(archived) is not bool:
raise ValueError("archived must be a boolean")
with self._pair_transaction() as conn:
return (
conn.execute(
"UPDATE prompt_pairs SET archived=?,updated_at=? WHERE id=?",
(int(archived), utc_now_iso(), pair_id),
).rowcount
> 0
)
def delete_prompt_pair(self, pair_id: int) -> bool:
"""Delete unused pair metadata; generated pairs must be archived instead."""
with self._pair_transaction() as conn:
if conn.execute(
"SELECT 1 FROM image_prompt_pairs WHERE pair_id=? LIMIT 1", (pair_id,)
).fetchone():
raise PairDependencyError(
"Pair has generated images; archive it instead"
)
return (
conn.execute("DELETE FROM prompt_pairs WHERE id=?", (pair_id,)).rowcount
> 0
)
def record_prompt_pair_use(self, pair_id: int, times: int = 1) -> bool:
"""Count pair uses independently of standalone prompt usage."""
if type(times) is not int or times < 1:
raise ValueError("times must be a positive integer")
with self._pair_transaction() as conn:
return (
conn.execute(
"UPDATE prompt_pairs SET run_count=run_count+?,last_used_at=? "
"WHERE id=?",
(times, utc_now_iso(), pair_id),
).rowcount
> 0
)
def link_image_to_pair(
self, pair_id: int, image_id: int, provenance: Dict[str, Any]
) -> int:
"""Associate an image with immutable run provenance, idempotently."""
with self._pair_transaction() as conn:
return self._link_image_to_pair(conn, pair_id, image_id, provenance)
def _link_image_to_pair(
self,
conn: sqlite3.Connection,
pair_id: int,
image_id: int,
provenance: Dict[str, Any],
) -> int:
"""Associate an image with immutable run provenance, idempotently."""
if not isinstance(provenance, dict):
raise ValueError("provenance must be an object")
try:
encoded = json.dumps(
provenance, sort_keys=True, separators=(",", ":"), allow_nan=False
)
except (TypeError, ValueError, RecursionError) as error:
raise ValueError("provenance must contain JSON values") from error
error = pair_provenance_error(encoded)
if error:
raise ValueError(error)
pair = conn.execute(
"SELECT positive_prompt_id FROM prompt_pairs WHERE id=?", (pair_id,)
).fetchone()
image = conn.execute(
"SELECT prompt_id FROM generated_images WHERE id=?", (image_id,)
).fetchone()
if not pair or not image:
raise ValueError("Pair and image must exist")
if pair["positive_prompt_id"] != image["prompt_id"]:
raise ValueError("Image must belong to the pair's positive prompt")
conn.execute(
"INSERT INTO image_prompt_pairs(pair_id,image_id,provenance,created_at) "
"VALUES(?,?,?,?) ON CONFLICT(pair_id,image_id,provenance) DO NOTHING",
(pair_id, image_id, encoded, utc_now_iso()),
)
return conn.execute(
"SELECT id FROM image_prompt_pairs "
"WHERE pair_id=? AND image_id=? AND provenance=?",
(pair_id, image_id, encoded),
).fetchone()["id"]
def get_image_prompt_pairs(self, image_id: int) -> List[Dict[str, Any]]:
"""Return every recorded pair association with decoded provenance."""
rows = (
self.model.get_connection()
.execute(
"SELECT * FROM image_prompt_pairs WHERE image_id=? ORDER BY id",
(image_id,),
)
.fetchall()
)
return [
{**dict(row), "provenance": json.loads(row["provenance"])} for row in rows
]
-84
View File
@@ -1,84 +0,0 @@
# Application Redesign Development Plan
The maintainer approved the [interactive concept](concepts/workspace/README.md)
on 2026-10-17. It is a design reference with simulated operations, not production
code. This plan proposes implementation order and acceptance gates.
## Delivery status
- Foundation merged in [#198](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/198).
- [#200](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/200) delivers native Images browsing, physical-file details, infinite scroll, Grid/List/Masonry, Viewer.js and video playback. The workspace opens on Images; original application entry points remain available.
- Shared role-aware sending and the physical-file prompt inspector merged in [#203](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/203) and [#206](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/206).
- The native Prompt Library merged in [#210](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/210) for [#208](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/208): one positive parent, saved negative variants, full selected text and a shared filtered image gallery. It does not invent chronological runs from counters or scan dates.
- [Durable history storage](prompt-history-storage.md) records job attempts and outcomes from [#212](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/212), frozen prompt contexts from [#213](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/213), and observed run-owned output locators from [#214](https://github.com/ComfyAssets/ComfyUI_PromptManager/pull/214). Those locators do not verify file bytes or establish gallery-image associations. That association contract and the chronological execution timeline remain pending under [#209](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/209).
- [#215](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/215) brings the shell, Images and natural-height Prompt Library presentation into the approved geometry and themes while retaining their existing operations. [#216](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/216) adds the shared current-file inspector with exact generation facts, scoped provenance, raw/download evidence and loaded-collection viewer controls, including a slideshow that pauses at native video. This delivery does not establish whole-application parity, change the default entry point or constitute a release. Recorded chronological run/context browsing continues under [#209](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/209); image tagging/review, System consolidation and remaining organization capabilities continue under #196.
## Scope and compatibility
Rebuild the standalone application around one shared shell. Preserve existing
node schemas, saved workflows, backend capabilities, pinned Viewer.js and the
ComfyAssets toolkit. Keep existing application entry points usable during the
transition. Do not change the running maintainer instance during automated tests.
Use the concept's feature inventory as a parity checklist. Each row needs an
implementation issue, observable acceptance criteria and automated test coverage.
Record any intentional behavior change explicitly; no silent feature removal.
## Proposed delivery sequence
Use a tracking issue and small issue-linked branches and PRs. Dependencies may
require splitting these milestones further.
| Milestone | Deliverable and acceptance focus |
| --- | --- |
| 1. Foundation | Production shell, routing, shared theme and disposable page-test harness. Verify startup, navigation, dark/light changes, cleanup and existing entry points. Establish discovered-test and coverage baselines before changes. |
| 2. Image workspace | Real API-backed filters, Grid/List/Masonry, readable thumbnails, selection and shared Viewer.js inspector. Continuous infinite scroll only, with accessible Load more fallback, stable ordering, retry and restored browsing context. Bound retained DOM and test large datasets. |
| 3. Prompt library and history | Real positive/negative associations, selected full negative, run history and shared image filtering. Design any missing execution-history persistence and migration before wiring the timeline; never invent historical runs from incomplete metadata. |
| 4. Send to ComfyUI | Shared paper-plane actions wherever prompt text appears; role-specific and pair sends, destination preview, acknowledgement and failure recovery. Cover explicit empty versus unknown negatives and connected inputs. Never queue or replace a workflow. |
| 5. Editing and review | Prompt editing, vocabulary management, per-image manual/auto-tag approval and Needs review. Preserve cancellation semantics and distinguish tag approval from prompt-association decisions. |
| 6. System and maintenance | Settings, sources/scans, integrations, jobs, diagnostics, backup/restore and maintenance impact previews. Cover existing capabilities before retiring their old controls. |
| 7. Additional organization | Favorites independent of ratings, collections, saved views, Activity, scheduled backups and portable import previews. Specify persistence, validation and recovery separately for each capability. |
| 8. Cutover | Complete the parity checklist, migration and upgrade validation, accessibility/performance checks, documentation and targeted maintainer live testing. Switch the default only after these pass; preserve compatible URLs. |
## TDD and test layers
For each behavior, first write and run a meaningful failing test. Implement the
smallest working change, verify it passes, then refactor with the suite green.
Include failing-before/passing-after evidence in the PR.
- **Unit:** filtering and selection state, cursor handling, prompt roles,
formatting, validation, navigation and lifecycle cleanup.
- **Integration:** real HTTP handlers and disposable SQLite/filesystem fixtures;
persistence, migration from supported old schemas, idempotent scans, restore,
rollback and reference-safe deletion. Mock inference and external services.
- **Smoke:** shipped production pages start and navigate with real fixture APIs;
test populated, empty and error states, assets and unexpected console failures.
- **Browser workflows:** production HTML/JS across Chromium, Firefox, WebKit and
touch; editing/reload, infinite append, viewer cleanup, tagging approval,
keyboard access, delayed responses, cancellation and retries.
- **Host integration:** pinned disposable CPU ComfyUI, Classic and Nodes 2.0,
switching both ways and workflow reload for host-facing changes. Exercise
independent and combined pack installations for shared bridge/toolkit changes.
Retain existing test discovery and coverage gates. Carry forward database
injection and open-handle checks into new fixtures. Add new frontend modules to
coverage measurement and its baseline; do not lower floors or replace existing
regression coverage with mockup-only tests.
## GitHub and release gates
Extend existing required workflows: the Python 3.10–3.13 matrix on Linux,
Windows and macOS; 85% Python coverage; formatting; frontend units and per-file
coverage floors; vendor checks; browser workflows; real ComfyUI compatibility.
Publish traces, screenshots, logs and coverage artifacts on failures. See
[TESTING.md](../TESTING.md) for commands and fixture isolation requirements.
Every PR must map acceptance criteria to tests, report relevant checks and include
screenshots for visual changes. All required checks must pass before merging.
Use maintainer live review at meaningful visual and host-integration milestones;
capture discovered regressions in automated tests. Notify the maintainer when
Python changes require a ComfyUI restart.
Keep version/publication changes separate from intermediate UI work: the existing
registry workflow publishes on main/master changes to `pyproject.toml` or manual
dispatch. Do not trigger a release merely to preview a redesign milestone.
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# Prompt Manager application redesign concept
Status: visual concept approved by the maintainer, 2026-10-17. Production
implementation is progressing in tested slices; see the [development plan](../../application-redesign.md).
The production workspace now has native Images browsing; this concept remains the
approved target for the complete application.
## Review the mockup
Run `python tools/preview-prompt-timeline.py --bind 0.0.0.0 --port 8767` and
open `/workspace/`. The original approved timeline remains available at `/`.
The server exposes an explicit allowlist of concept files and pinned assets.
All examples are synthetic; there are no application API calls, database access,
real model downloads, or ComfyUI handoffs. Local file inspection previews an
image in the browser without uploading it. Exports contain sample data only.
The sidebar opens Images, Prompt library, Tags & categories, Inspect a file,
Activity, System and Design review. System includes Overview, Appearance,
Sources & scans, Integrations, Auto-tagging, Maintenance, Backup & export, and
Diagnostics & logs. The in-app Design review contains the feature map below.
## Proposed direction
One application shell replaces separate Admin, Gallery and Metadata shells.
Use the approved shared ComfyAssets theme: ComfyUI dark/light, blue primary
actions, green positive roles, red negative roles and errors. Preserve existing
capabilities and services while consolidating controls and clarifying their scope.
Browsing is image-led with readable thumbnails and one metadata inspector.
Prompt library groups by positive; negative variants and runs share its gallery.
The full selected negative appears directly beneath the positive in history.
Favorites express preference independently of the existing quality rating.
Collections organize projects without duplicating recipe text; saved views keep
search/filter context. New capabilities are proposals, not implemented features.
Maintenance moves out of the browsing toolbar. Checks, impact preview, backups,
and apply steps have separate responsibilities. Distinguish prompt text reuse
from image-file duplicates, and metadata enrichment from thumbnail generation.
No repeated global thumbnail-generation prompt on opening the gallery.
## Send to ComfyUI
Use the same original paper-plane outline, blue accent and accessible role label
on every positive/negative prompt block, including image details and the viewer.
A pair action sends both. Preview destination and exact fields before applying;
positive-only and negative-only actions leave the other role untouched. An
explicitly empty negative means clear the target field; unknown metadata must
never be interpreted as empty. Sending text neither queues execution nor
replaces a workflow.
Production needs a shared host bridge with versioned payloads, origin validation,
destination discovery, capability checks, disconnected-host handling, linked-input
checks and acknowledgements. Preview actual target values and report success only
after acknowledgement. Default to asking for a destination; never guess between
multiple nodes or positive and negative encoder inputs. Verify Classic and Nodes
2.0 with both packs installed independently and together.
## Existing feature inventory
| Current feature | Proposed home / behavior | Disposition |
| --- | --- | --- |
| Admin prompt cards / per-prompt gallery | Prompt library + one prompt history workspace | Retained, rebuilt |
| Standalone image gallery / Admin image modal | One Images workspace + shared Viewer.js viewer | Consolidated |
| Video playback, autoplay / mute / loop, viewer slideshow and transforms | Shared media viewer; playback controls in Appearance; same image navigation | Retained |
| Metadata page / viewer sidebar / full-text popups | One reusable metadata inspector; inline complete prompt text | Consolidated |
| Prompt add, edit, rating, notes, copy, delete | Recipe editor, shared details, contextual bulk actions; reference-safe archive | Retained, clarified |
| Categories, tag rename / merge, autocomplete | Tags & categories; same vocabulary in every editor | Retained |
| Grid/list, thumbnail size, columns, pages/infinite scroll | Infinite scroll only; one Appearance configuration and contextual layout / density overrides | Simplified |
| Scan, rescan, monitoring directories, worker threads | Sources & scans; explicit metadata enrichment vs thumbnail work | Consolidated |
| Ollama, HuggingFace, WD14 variants, thresholds, review | One Auto-tagging configuration and review flow | Retained |
| Thumbnail quality, size limit, metadata cache, paths | Appearance + cache controls in Maintenance | Retained |
| Prompt dedup, hash checks, consistency, unused prompts | Maintenance plan with dependency checks and impact preview | Retained, safer flow |
| Image dedup, orphan image links, browser cache | Separate reviewed operations in Maintenance | Retained |
| Database backup / restore, JSON export | Backup & export; recovery and portable recipes clearly distinguished | Retained |
| Diagnostics, image-link checks, logs, rotation, log levels | System → Diagnostics & logs | Retained |
| LoRA detection/import, trigger injection, CivitAI key | System → Integrations; positive-only triggers | Retained |
| Statistics / counts | System overview + usage breakdown; context counts in the workspace | Retained |
| Send prompts to ComfyUI from every prompt surface | Role-aware paper-plane action + destination / overwrite preview | New proposal |
| Reusable negatives / approved branch timeline | Prompt history with selected negative directly beneath positive | Approved concept |
| Favorites, saved searches, project collections | Sidebar views; collections do not duplicate recipe text | New proposal |
| Ambiguous metadata review, source provenance, run comparisons | Needs review queue; recorded vs inferred evidence; pair/run selection | New / expanded |
| Unified jobs, cancellation, resumable progress visibility | Activity center; cancellation distinguished from hiding progress | New proposal |
| Scheduled backups, pre-change safety snapshots | Explicit recovery policy after storage configuration | New proposal |
## Implementation boundaries and test requirements
Keep Viewer.js 1.15.2 and the shared toolkit as reproducible pinned artifacts;
this mock uses their actual checked-in files without modifying them. Preserve
legacy routes during the transition, current node layouts/schemas, existing
controllers where reusable, and all existing test/coverage gates.
The timeline needs persisted execution records to represent real runs. Saved
views, collections, metadata review resolution, activity history, scheduled
backups, portable JSON import, and the ComfyUI bridge need separate implementation
and persistence work. Preserve source evidence and distinguish recorded from
inferred metadata. Existing schema migration is automatic; old image enrichment
remains an optional explicit scan. The one-time upgrade notice belongs in the
new shell, with Scan and Later choices.
Implement in reviewed slices: shared application shell and inspector; reusable
prompt blocks/send bridge; image workspace; grouped library/history; settings and
maintenance; optional organization and workflow improvements. Write regressions
first for production behavior. Retain Python, frontend unit, Chromium/Firefox/
WebKit/touch and managed Classic/Nodes 2.0 tests. Add behavior tests for shared
filters, navigation state, viewer cleanup, interrupted jobs, dependency-safe
maintenance, backup/restore, paired metadata and correct send destinations.
Screenshots in `screenshots/` record the reviewed starting point. The approved
standalone timeline in `../prompt-variant-timeline.html` remains unchanged.
## Review polish
History actions use a shared branch icon. Images can switch among Grid, List and
Masonry; Masonry preserves each image's proportions and keeps DOM order while
packing cards with a responsive layout. It does not require experimental native
masonry support. Resize observers are disconnected when leaving the view.
Every image card includes a tagging action beside Info, including cards in Needs
review. Choose WD14 SwinV2, WD14 ViT, Ollama or HuggingFace; adjust thresholds or
instructions, generate sample suggestions, edit tags manually, and approve only
the desired suggestions. Changes are staged until approval, apply to that image
alone and do not resolve uncertain prompt associations. Changing models discards
previous suggestions. Cancel preserves existing tags. All inference is simulated.
## Continuous browsing decision
The redesign uses infinite scroll only. Remove page numbers, previous/next page
buttons, paged/infinite mode selection and results-per-page controls. Keep request
batching internal. The mock appends 12 images at a time in Grid, List and Masonry;
it preserves existing card nodes, focus and selection while appending. It also
retains the loaded range when switching layouts or revisiting a search. A
keyboard-accessible Load more action provides an alternate trigger for the same
continuous stream, not pagination. Exhausted and empty results are explicit.
Production will need bounded rendering, stable cursors, scroll restoration and
loading/error/retry behavior for large collections. Existing backend pagination
can continue providing internal request batches; no production tests or routes
are removed as part of this prototype.
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width,initial-scale=1" />
<meta name="referrer" content="no-referrer" />
<title>Images · Prompt Manager concept</title>
<link rel="stylesheet" href="/toolkit/controls.css" />
<link rel="stylesheet" href="/vendor/viewer.css" />
<link rel="stylesheet" href="/workspace/style.css" />
<script src="/vendor/viewer.js" defer></script>
<script src="/workspace/app.js" type="module"></script>
</head>
<body class="ca-tools">
<a class="skip" href="#main">Skip to workspace</a>
<div class="app-shell">
<aside class="sidebar">
<a class="brand" href="#images"
><span class="brand-mark">P<span>±</span></span
><span>Prompt Manager<small>COMFYASSETS</small></span></a
>
<div class="sidebar-label">WORKSPACE</div>
<nav id="primary-nav" aria-label="Workspace"></nav>
<div class="sidebar-label">
SAVED VIEWS <span class="new-label">PROPOSED</span>
</div>
<nav id="saved-nav" aria-label="Saved views"></nav>
<div class="sidebar-label">
COLLECTIONS <span class="new-label">PROPOSED</span>
</div>
<nav id="collections-nav" aria-label="Collections"></nav>
<div class="sidebar-bottom">
<nav id="system-nav" aria-label="Tools and system"></nav>
<div class="connection">
<i></i>
<div>
ComfyUI workspace<small
>Demo connection · Classic / Nodes 2.0</small
>
</div>
</div>
</div>
</aside>
<div class="workspace">
<header class="topbar">
<div class="breadcrumbs">
ComfyAssets <span>/</span> <span id="breadcrumb">Images</span>
</div>
<div class="top-actions">
<span class="concept-badge">Interactive concept</span
><button id="activity-open" type="button">
Activity <span class="count" id="activity-count">2</span></button
><label class="theme-label" for="theme"
>Theme
<select id="theme" aria-label="Theme">
<option value="dark">Dark</option>
<option value="light">Light</option>
<option value="system">System</option>
</select></label
><a class="canvas-link" href="#send"
>ComfyUI <span aria-hidden="true">↗</span></a
>
</div>
</header>
<main id="main" tabindex="-1"></main>
<footer class="app-footer">
<span
>Design prototype · sample images and data · actions stay in this
tab</span
><button type="button" id="review-link">What changes & why</button>
</footer>
</div>
</div>
<div id="toast" class="toast" role="status" aria-atomic="true"></div>
<dialog id="modal" aria-labelledby="modal-title">
<div class="dialog-header">
<h2 id="modal-title"></h2>
<button type="button" id="modal-close" aria-label="Close dialog">
×
</button>
</div>
<div id="modal-body"></div>
</dialog>
<dialog id="viewer-dialog" aria-labelledby="viewer-title">
<div class="dialog-header">
<div>
<h2 id="viewer-title">Image details</h2>
<p class="muted small">
One viewer · image, prompts, generation data, workflow
</p>
</div>
<button type="button" id="viewer-close" aria-label="Close image viewer">
×
</button>
</div>
<div class="viewer-layout">
<div class="viewer-left">
<div id="viewer-stage"></div>
<div class="viewer-toolbar" id="viewer-toolbar"></div>
</div>
<aside id="viewer-details" aria-label="Image metadata"></aside>
</div>
</dialog>
</body>
</html>
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# Durable Prompt History
Status: the durable job ledger, immutable prompt contexts and run-owned output
references are implemented for
[#209](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/209). Gallery
image associations and the chronological timeline remain pending; #209 stays open.
## Recorded jobs
New jobs observed at the ComfyUI queue's dequeue boundary receive an immutable
run identity and a host-session/queue-item identity. The public ComfyUI job UUID
is a correlation field: submitting it twice records two attempts. Rejected graphs
and jobs removed from the queue before dequeue create no execution rows. Cached
jobs are recorded even when no PromptManager node runs, and headless jobs do not
require a browser or WebSocket client.
The additive `execution_runs` table stores dequeue time, observed callback time,
optional executor event times and an explicit outcome: `observed`, `succeeded`,
`failed`, `interrupted` or `unknown`. Matching stored terminal events determine
outcomes. Missing or conflicting terminal evidence remains unknown; a process
crash can leave an observed row without an invented completion time. Bounded
safe diagnostics retain node ID/type and exception type, never graph text,
arbitrary extra data, credentials, exception messages, traceback, inputs or
arbitrary output payloads. A bounded background writer keeps storage failures from
changing host execution and reports capture gaps rather than inventing rows.
Existing databases begin with zero execution rows. Migration and backup restore
preserve prompts, pairs, image links and aggregate counters; storage epochs keep
stale queued writes from being replayed into restored data. There is no
historical backfill from counters, scan dates, image timestamps or saved recipes.
[Testing](../TESTING.md#durable-execution-ledger) describes the real CPU host
matrix, historical failure proof, privacy checks and cleanup. Python deployment
requires restarting ComfyUI.
## What the existing UI proves
`prompts.run_count` and `prompt_pairs.run_count` remain aggregate usage counters,
not completed-run counts. `last_used_at` is the latest aggregate update; legacy
migration may have estimated counts from linked images. `generated_images`
identifies linked files; image counts and insertion times are not run counts or
execution times. Image/pair association creation time can reflect an old-image
scan. A saved pair's creation time is its recipe date.
The native Prompt Library shows saved negative variants, linked images and
aggregate uses. It does not expose the ledger as chronological dots or repeat-run
branches. `PromptTracker` identities and PNG recipe evidence remain separate
from durable host job identity.
## Immutable contexts and output references
Prompt contexts retain bounded raw/effective positive, negative and composition
snapshots with nullable recipe navigation hints and explicit evidence provenance.
Unknown text remains SQL NULL; a known empty negative remains empty text. Cached
evidence belongs to its exact cache provider and attempt, rather than inheriting
unrelated recent prompts. Deletion and restore can remove navigation hints without
rewriting historical snapshots or rebinding them to current library rows.
Schema v3 adds `execution_output_capture` and `execution_run_outputs` without
backfilling older runs or modifying gallery image links. At final queue completion,
the writer attaches bounded output evidence from that attempt's final host history
to its immutable run ID. The internal `get_execution_outputs(run_id)` reader
returns state, reason, format version, source and ordered references. A complete
capture with `none_reported` means the final host history reported no images;
`not_captured`, partial, unavailable and conflicting evidence remain explicit.
Failed and interrupted jobs can still have complete evidence for images reported
before termination. Running jobs do not gain a final capture merely because an
image node finished.
Each reference records output node ID, image ordinal, folder type, subfolder,
filename, path style and an opaque configured-root key. A cached repeat can retain
the same locators under a new run. Locators do not verify file bytes, continued
existence, a newly generated file or membership in any prompt context: the reader
reports file identity as `unverified`, generation and context membership as
`unknown`, and temp outputs as transient. Capture never reads, resolves or serves
the files and adds no public route. PNG metadata is not required. Same-path file
replacement and existing gallery provenance retain their separate semantics.
## Remaining history work
Define a deduplicated run/gallery-image relationship that preserves existing image
provenance and same-path replacement protection. Add a chronological timeline only
after its navigation and evidence semantics can honestly represent prompt-level
execution chronology, batched outputs and repeat-run branches.
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# Prompt inspection and sending
The opt-in workspace at `/prompt_manager/workspace#/images` shows full positive
and negative prompts in both Image details and the full-image preview. Existing
gallery and metadata tools remain available during the application rebuild.
Each prompt shows its evidence source: recorded execution, workflow inference,
or embedded generation parameters. Path-only saved-library associations are
marked unverified and cannot be sent: a filename alone cannot prove that an image
has not been replaced. Missing, ambiguous, and unreadable prompts remain visible
as distinct states. An explicitly
empty negative is a resolved value and can clear a destination's negative field.
Use the blue paper-plane action beside a prompt, or **Send prompt pair**. Keep a
ComfyUI tab open under the same origin and deployment prefix. Choose a window and
compatible Prompt Manager node, select **Preview changes**, review the complete
before/after text and preserved prepend/append composition, then **Apply to
ComfyUI**. The dialog reports success only after a matching acknowledgement.
It does not load workflows or queue generation. If confirmation is lost, inspect
ComfyUI and preview again before another attempt. Closing the dialog cannot undo
an update already sent.
## Read-only API
`GET /prompt_manager/images/inspect/{relative_path}?root={root_index}` requires
an explicit configured root, including when two roots contain the same filename.
The response contains `image` identity and `prompts.positive` / `prompts.negative`.
Each role has `status` (`resolved`, `absent`, `unresolved`, or `ambiguous`), `text`
(string only when resolved, otherwise null), and `source`. Inspection does not
index files, alter saved prompts, run scans, or decode image pixels. PNG text and
video probe output are bounded; unsupported or malformed evidence remains
unresolved rather than becoming sendable placeholder text.
Python route changes require restarting ComfyUI. Browser assets require a refresh.
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# Prompt sending bridge
Issue #202 establishes the transport and host adapter before the redesigned
inspector displays prompt text. Gallery paper-plane controls and normalized
metadata follow in a separate slice; existing node layouts are unchanged.
## Shared transport
PromptManager consumes the exact Toolkit 0.2.0 artifact recorded in
`web/js/shared/toolkit/provenance.json`. The shared module has no ComfyUI imports.
Its client discovers explicit host sessions and compatible destinations, requests
a preview, and applies that preview using a one-use, client-bound, expiring ticket.
Success requires an acknowledgement with verified destination values.
BroadcastChannel connects independently opened tabs on the same origin and storage
partition. Deployment prefixes have separate channel namespaces. Exact origin,
protocol and peer checks reject unrelated messages. Same-origin scripts are
trusted; this transport is not authentication against other scripts on that origin.
Unsupported messaging is reported without breaking existing ComfyUI nodes.
An apply timeout or abort after posting means the outcome is unknown. It cannot
prove the host cancelled the write. The sender must inspect a fresh destination
preview before deciding to send again; automatic retry must not overwrite edits.
## PromptManager adapter
Classic, Text, Focused and Split accept positive text; +/- accepts either role or
both. Plain CLIP encoders are not assigned roles by title or position. An omitted
role remains untouched; an explicitly empty string clears only the selected
field. Unknown/ambiguous metadata must not become an empty string.
Previews show original and requested text plus positive prepend/append composition.
Connected composition is marked unknown rather than guessing upstream values.
Connected destination fields reject writes. Applying rechecks graph, node, widgets,
values and connections. Ordinary serialization cache synchronization is accepted
only when it preserves live values. Both requested roles are checked before writing.
Widget values, visible inputs, serialization and composed previews are synchronized.
Callback failures restore local fields; arbitrary external callback side effects
cannot be undone. Sending never queues execution or loads/replaces a workflow.
## Lifecycle and validation
Page hiding closes the host and invalidates tickets; restored pages mount one fresh
host. Client disposal clears pending timers/listeners and closes its channel.
Shared protocol contracts run against the actual bundled file, alongside adapter
units, cross-browser tab workflows and real Classic/Nodes 2.0 scenarios. Pinned
PromptManager-only, KikoTools-only and combined disposable hosts verify coexistence
and workflow reload without modifying either live installation.
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# Reusable positive and negative prompts
Tracking: [#193](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/193).
This work builds on the merged Split node in PR #192. Keep the feature unmerged
until maintainer live testing is complete.
## Storage contract
Keep existing prompt IDs, text hashes, metadata, image links and node schemas.
A component can serve either role. Ordered combinations refer to shared prompt
rows; an explicitly empty negative uses a null reference. Missing or ambiguous
metadata does not mean an empty negative. Pair metadata belongs to the
combination; saving another combination does not overwrite component metadata.
Existing trim/lowercase hash normalization remains unchanged.
Saved components are immutable while referenced. To change text, create or reuse
a component and save a new combination. Archive combinations that have generation
history. Pruning and legacy editing/deletion must respect these dependencies.
Historical workflow snapshots remain intact, including their original text.
## Migration and recovery
Create pair tables after existing legacy rebuild migrations, in an atomic,
repeatable migration. Never scan media during schema initialization. Test fresh,
legacy and current databases, repeated startup, injected failures and retries.
Preserve old backup compatibility. Migrate and validate a disposable backup copy
before replacing live database pages. Reject broken pair schemas, foreign keys,
triggers and views. Use SQLite backup APIs so committed WAL data is included.
## Metadata and scanning
Resolve positive and negative from the same sampler/output context. Track both
node ID and output slot; bound graph traversal and text construction. Unknown
conditioning operations and conflicting sampler candidates remain unresolved.
Never guess that the first encoder or most recent negative belongs to an image.
Import high-confidence pairs atomically with their image association and source
provenance. Repeated scans must not duplicate components, pairs or image links,
regenerate thumbnails, or increment generation run counts. Preserve existing
conflicting/manual associations for review. Report new, enriched, unchanged,
ambiguous, unresolved and failed results separately.
## Live node
Use the shared toolkit and Split foundation. Positive and negative editors have
equal size. Only positive receives prepend, append and automatic LoRA triggers.
Keep upstream connections authoritative. Library selection previews both fields
before an explicit load. Saving text changes creates another reusable combination.
Verify Classic and Nodes 2.0 startup, switching both directions, reload, caching,
linked inputs, popup behavior and lifecycle cleanup before maintainer testing.
## Delivery gate
Keep all existing coverage floors and test suites. Record regression failures
before implementing each behavior. Tests use disposable state and the managed
CPU host; never mutate the maintainer's running ComfyUI or personal database.
Python changes require a ComfyUI restart. Live approval is required before merge.
## Live testing
1. Download a database backup from Admin before the first restart. The additive
schema migration runs on startup; existing workflows and prompt IDs stay valid.
2. Restart ComfyUI, reload the browser, and add **Prompt Manager (+/-)** from
**ComfyAssets / Prompts**. Connect CLIP and the two conditioning outputs to the
sampler's positive and negative inputs.
3. Enter both texts, save a pair, then keep positive unchanged and change negative.
Recent should show both combinations with distinct negative excerpts. Selecting
one previews both; **Use pair** loads both together.
4. Test category/tag autocomplete and metadata opt-in, resizing, light/dark,
switching Classic / Nodes 2.0 both ways, and workflow reload. Connected fields
stay authoritative; run the node to save connected metadata values.
5. Queue the same recipe twice and change only negative once. Usage should count
dequeued jobs even when ComfyUI caches the node. Prepend, append and LoRA triggers
affect positive only. Gallery text is labelled as recorded during execution or
recovered from workflow metadata.
6. Run an output metadata scan to enrich existing images. Repeat it: pairs and
links must remain deduplicated, with unchanged results rather than new links.
Conflicting or ambiguous files need review and are preserved.
Fresh executions embed bounded text evidence in PNG metadata. A cached node may
not emit fresh evidence, so its graph-derived text is explicitly marked inferred.
Multiple distinct batch records without an image anchor remain unresolved.
Rescanning after interruption is safe through idempotent per-file writes; this
version does not persist a filesystem scan cursor across server restarts.
The API can request cancellation with `POST /prompt_manager/scan/cancel`; the
existing dashboard Hide button continues to hide progress without cancelling.
Pair APIs are under `/prompt_manager/pairs`: POST saves a combination, GET lists
and filters, GET/PATCH/DELETE `/{id}` reads, edits metadata or removes an unused
pair. Changing text creates another combination. Null metadata updates preserve
existing values; empty strings/lists clear supported fields. Archive a pair with
`PATCH {"archived":true}`. GET `/export` provides versioned JSON containing both
texts and pair metadata; this is an export format, not a JSON import endpoint.
## Gallery redesign concept retained
The maintainer approved the interactive
[negative variant timeline concept](concepts/prompt-variant-timeline.html) on
2026-10-17. Preserve it for the later gallery redesign; it is not production UI
and does not expand the current node work.
Keep one positive parent and one shared gallery, with red branches for reusable
negative variants and smaller dots for repeat runs. Show the selected negative
in full directly beneath the unchanged positive; selecting another variant or
run updates that text and filters the shared gallery. Comparison shows both
negatives. Distinguish explicitly empty negatives from an all-variants view and
saved variants from executed runs. Production history needs persisted execution
records; the prototype's timeline uses illustrative sample data.
The Admin upgrade/scan notice remains a separate follow-up: explain automatic
schema migration and offer an optional metadata enrichment scan or Later.
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@@ -1,13 +0,0 @@
# Native Library visual evidence
Captured from the production workspace using disposable synthetic browser-test
fixtures. No personal images, library, or running ComfyUI state was accessed.
Solid-color media are intentional test images.
- `library-dark.png`: grouped positive shelf, dark appearance.
- `library-light.png`: the same shelf, light appearance.
- `history-selected-negative.png`: selected negative directly below its positive,
saved-variant branches and the filtered shared gallery.
- `history-mobile.png`: the same history at a 390-pixel viewport.
These screenshots document implemented behavior, rather than a design mockup.
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+8 -25
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@@ -1,31 +1,14 @@
# Shared ComfyAssets UI adoption
Status: approved direction; toolkit/testing foundation in progress.
Product UI brainstorming comes before node changes.
Status: proposed; no runtime behavior changes in this document.
Tracking: [PromptManager #186](https://github.com/ComfyAssets/ComfyUI_PromptManager/issues/186)
and [KikoTools #81](https://github.com/ComfyAssets/ComfyUI-KikoTools/issues/81).
KikoTools is the validated model. The
[ComfyAssets Toolkit](https://github.com/ComfyAssets/ComfyAssets-Toolkit) is the
shared source; PromptManager proves the package boundaries before a later
KikoTools adoption PR. Other custom nodes can become additional consumers.
## Approved sequence
1. Extract reusable controls and test infrastructure from the working KikoTools
reference into the toolkit. Keep routes, node schemas and controllers local.
2. Bring PromptManager's automated tests up to parity using the pinned toolkit.
3. Brainstorm PromptManager node layouts, controls and behavior with the maintainer
before changing its production UI. Select one bounded first consumer together.
4. Validate shared distribution, themes, cleanup and compatibility through that
consumer, then migrate incrementally. Test both packs together as appropriate.
5. Backport toolkit adoption to KikoTools after PromptManager proves it, preserving
the existing KikoTools appearance, behavior and workflow compatibility.
KikoTools is not being migrated again during this phase. The original
[foundation mockup](https://github.com/ComfyAssets/ComfyUI-KikoTools/pull/82)
records the approved visual direction and inspiration.
The [KikoTools foundation proposal and mockup PR](https://github.com/ComfyAssets/ComfyUI-KikoTools/pull/82)
defines the common architecture and acceptance criteria. KikoTools' Local Image
Loader is the first pilot. PromptManager adoption follows validation of that
pilot and extraction of a versioned, original ComfyAssets UI core.
## PromptManager requirements
@@ -50,8 +33,8 @@ records the approved visual direction and inspiration.
## First migration
With the maintainer, inventory the PromptManager nodes and gallery dialogs and
choose one bounded first UI consumer after brainstorming. Record its current behavior with tests before changing it.
After the pilot, inventory the gallery dialogs and choose one bounded dialog as
the second consumer. Record its current behavior with tests before changing it.
Verify keyboard opening/closing, focus restoration, accessible labels, confirm
and cancel behavior, network failures, and light/dark appearances. Keep the
existing gallery and destructive-action browser workflows passing.
@@ -66,6 +49,6 @@ dialogs additionally run through PromptManager's existing browser harness.
Use small issue-linked PRs and TDD: verify each new behavioral test fails before
implementing it, then run relevant suites and required CI checks. Include visual
evidence for appearance changes. Migrate additional nodes/dialogs/editors only after
evidence for appearance changes. Migrate additional dialogs/editors only after
the first consumer validates the package boundaries; do not rewrite all pages
or change backend schemas as part of this initiative.
+1 -29
View File
@@ -6,11 +6,6 @@ with persistent prompt storage and search capabilities.
import time
from typing import Any, Dict, Optional, Tuple
if __package__:
from .utils.execution_context_capture import record_runtime_context
else:
from utils.execution_context_capture import record_runtime_context
try:
from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict
except ImportError:
@@ -261,11 +256,7 @@ class PromptManager(PromptManagerBase, ComfyNodeABC):
)
self.logger.info(f"CLIP encoding completed, text: {repr(encoding_text)[:80]}")
result = (conditioning, encoding_text)
record_runtime_context(
type(self).__name__, text, prepend_text, append_text, encoding_text
)
return result
return (conditioning, encoding_text)
@classmethod
def IS_CHANGED(
@@ -290,22 +281,3 @@ class PromptManager(PromptManagerBase, ComfyNodeABC):
combined = f"{text}|{prepend_text}|{append_text}|{category}|{tags}"
return hashlib.sha256(combined.encode()).hexdigest()
class PromptManagerFocused(PromptManager):
"""The editor-first UI uses the existing encoding and storage contract."""
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
inputs = super().INPUT_TYPES()
for name in ("prepend_text", "append_text"):
kind, options = inputs["optional"][name]
inputs["optional"][name] = (
kind,
{**options, "default": "", "forceInput": True},
)
return inputs
class PromptManagerSplit(PromptManagerFocused):
"""The persistent library layout shares Focused encoding and storage."""
-243
View File
@@ -1,243 +0,0 @@
"""Paired positive and negative conditioning with reusable recipe storage."""
import hashlib
import json
import time
from typing import Any, Dict, Optional, Tuple
if __package__:
from .utils.execution_context_capture import record_runtime_context
else:
from utils.execution_context_capture import record_runtime_context
try:
from .prompt_manager import IO, InputTypeDict, PromptManagerFocused
from .utils.hashing import generate_prompt_hash
from .utils.pair_execution import record_pair_execution
from .utils.prompt_graph import intrinsic_pair_nodes, run_prompt_components
from .utils.prompt_pair_resolver import resolve_text_input
from .utils.usage_tracking import (
PENDING_FIRST_USE,
PENDING_PAIR_FIRST_USE,
pair_run_key,
)
except ImportError:
from prompt_manager import IO, InputTypeDict, PromptManagerFocused
from utils.hashing import generate_prompt_hash
from utils.pair_execution import record_pair_execution
from utils.prompt_graph import intrinsic_pair_nodes, run_prompt_components
from utils.prompt_pair_resolver import resolve_text_input
from utils.usage_tracking import (
PENDING_FIRST_USE,
PENDING_PAIR_FIRST_USE,
pair_run_key,
)
class PromptManagerPair(PromptManagerFocused):
"""Keep raw editors as one recipe while encoding their effective texts."""
@classmethod
def INPUT_TYPES(cls) -> InputTypeDict:
inputs = super().INPUT_TYPES()
inputs["required"] = {
"text": inputs["required"]["text"],
"negative_text": (
IO.STRING,
{"default": "", "multiline": True, "dynamicPrompts": True},
),
"clip": inputs["required"]["clip"],
}
inputs["hidden"]["extra_pnginfo"] = "EXTRA_PNGINFO"
return inputs
RETURN_TYPES = (IO.CONDITIONING, IO.CONDITIONING, IO.STRING, IO.STRING)
RETURN_NAMES = ("positive", "negative", "positive_text", "negative_text")
OUTPUT_TOOLTIPS = (
"Positive conditioning with composition and optional LoRA trigger words.",
"Negative conditioning from the negative editor, including empty text.",
"The effective positive text that was encoded.",
"The unchanged negative text that was encoded.",
)
DESCRIPTION = "Encode and save a reusable positive/negative prompt pair."
def encode_prompt(
self,
clip: Any,
text: str,
negative_text: str = "",
category: str = "",
tags: str = "",
search_text: str = "",
prepend_text: str = "",
append_text: str = "",
prompt: Optional[Dict[str, Any]] = None,
unique_id: Optional[str] = None,
extra_pnginfo: Optional[Dict[str, Any]] = None,
) -> Tuple[Any, Any, str, str]:
"""Encode both sides once; database and tracking failures never block CLIP."""
if clip is None:
raise RuntimeError("ERROR: clip input is invalid: None")
if not isinstance(text, str) or not isinstance(negative_text, str):
raise ValueError("Positive and negative prompt text must be strings")
positive = self._inject_lora_trigger_words(
" ".join(
part
for part in (prepend_text.strip(), text, append_text.strip())
if part
)
)
positive_conditioning = clip.encode_from_tokens_scheduled(
clip.tokenize(positive)
)
negative_conditioning = clip.encode_from_tokens_scheduled(
clip.tokenize(negative_text)
)
record_pair_execution(
extra_pnginfo,
unique_id,
text=text,
negative_text=negative_text,
positive_text=positive,
negative_effective_text=negative_text,
prepend_text=prepend_text.strip(),
append_text=append_text.strip(),
)
pair_id = prompt_id = None
known = isinstance(prompt, dict) and unique_id is not None
node_id = str(unique_id)
used_fields = (
{
field
for source, field in run_prompt_components(prompt)
if source == node_id
}
if known
else {"text"}
)
is_positive = "text" in used_fields
pair_used = node_id in intrinsic_pair_nodes(prompt) if known else True
try:
pair_id = self.db.save_prompt_pair(
text,
negative_text,
category=category.strip() or None,
tags=self._parse_tags(tags),
)
pair = self.db.get_prompt_pair(pair_id)
prompt_id = pair["positive_prompt_id"]
resolved_positive = (
resolve_text_input(prompt, node_id, "text") if known else None
)
resolved_negative = (
resolve_text_input(prompt, node_id, "negative_text") if known else None
)
positive_seen = resolved_positive is not None and generate_prompt_hash(
resolved_positive
) == generate_prompt_hash(text)
pair_seen = (
positive_seen
and resolved_negative is not None
and generate_prompt_hash(resolved_negative)
== generate_prompt_hash(negative_text)
)
positive_pending = getattr(self, "pending_first_use", PENDING_FIRST_USE)
pair_pending = getattr(
self, "pending_pair_first_use", PENDING_PAIR_FIRST_USE
)
counted = set()
for field, component_text, resolved_text, component_id in (
("text", text, resolved_positive, prompt_id),
(
"negative_text",
negative_text,
resolved_negative,
pair["negative_prompt_id"],
),
):
component_hash = generate_prompt_hash(component_text)
if (
field not in used_fields
or not component_id
or component_hash in counted
):
continue
counted.add(component_hash)
seen_at_queue = (
resolved_text is not None
and generate_prompt_hash(resolved_text) == component_hash
)
runs = positive_pending.consume(component_hash) + int(not seen_at_queue)
if runs:
self.db.record_prompt_use(component_id, times=runs)
if pair_used:
runs = pair_pending.consume(pair_run_key(text, negative_text)) + int(
not pair_seen
)
if runs:
self.db.record_prompt_pair_use(pair_id, times=runs)
if is_positive:
self.prompt_tracker.set_current_prompt(
prompt_text=positive,
additional_data={
"prompt_id": prompt_id,
"pair_id": pair_id if pair_used else None,
"positive_text": positive,
"negative_text": negative_text,
"positive_storage_text": text.strip(),
"negative_storage_text": negative_text.strip(),
"prepend_text": prepend_text.strip(),
"append_text": append_text.strip(),
"final_text": positive,
"category": category.strip() or None,
"tags": self._parse_tags(tags) or [],
},
push_to_queue=not positive_seen or (pair_used and not pair_seen),
)
except Exception as error:
self.logger.warning(f"Could not save or track paired prompt: {error}")
try:
self.comfyui_integration.register_prompt(
f"promptmanager_pair_{time.time_ns()}",
positive,
{
"prompt_id": prompt_id,
"pair_id": pair_id if pair_used else None,
"negative_text": negative_text,
"category": category.strip() or None,
},
)
except Exception as error:
self.logger.warning(f"Could not register paired metadata: {error}")
result = positive_conditioning, negative_conditioning, positive, negative_text
record_runtime_context(
type(self).__name__,
text,
prepend_text,
append_text,
positive,
role="positive",
)
record_runtime_context(
type(self).__name__, negative_text, "", "", negative_text, role="negative"
)
return result
@classmethod
def IS_CHANGED(
cls,
clip: Any,
text: str = "",
negative_text: str = "",
category: str = "",
tags: str = "",
search_text: str = "",
prepend_text: str = "",
append_text: str = "",
**kwargs: Any,
) -> str:
"""Either editor, composition or pair metadata invalidates the node cache."""
serialized = json.dumps(
[text, negative_text, prepend_text, append_text, category, tags]
)
return hashlib.sha256(serialized.encode("utf-8")).hexdigest()
+1 -10
View File
@@ -6,11 +6,6 @@ without CLIP encoding, while maintaining all database and search features.
import time
from typing import Any, Dict, Optional, Tuple
if __package__:
from .utils.execution_context_capture import record_runtime_context
else:
from utils.execution_context_capture import record_runtime_context
try:
from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict
except ImportError:
@@ -232,11 +227,7 @@ class PromptManagerText(PromptManagerBase, ComfyNodeABC):
)
self.logger.debug(f"Text processing completed: {final_text[:100]}...")
result = (final_text,)
record_runtime_context(
type(self).__name__, text, prepend_text, append_text, final_text
)
return result
return (final_text,)
@classmethod
def IS_CHANGED(
+3 -19
View File
@@ -22,9 +22,6 @@ from aiohttp import web
from PIL import Image
from .prompts import PromptRoutesMixin
from .pairs import PairRoutesMixin
from .library import LibraryRoutesMixin
from .history import HistoryRoutesMixin
from .images import ImageRoutesMixin
from .admin import AdminRoutesMixin
from .logging_routes import LoggingRoutesMixin
@@ -87,7 +84,6 @@ def _public_error(exc: BaseException) -> str:
# doubles as the allow-list.
STATIC_MIME_TYPES = {
".js": "application/javascript",
".mjs": "application/javascript",
".css": "text/css",
".map": "application/json",
".woff": "font/woff",
@@ -244,9 +240,6 @@ async def _gzip_middleware(request, handler):
class PromptManagerAPI(
PairRoutesMixin,
LibraryRoutesMixin,
HistoryRoutesMixin,
PromptRoutesMixin,
ImageRoutesMixin,
AdminRoutesMixin,
@@ -269,14 +262,12 @@ class PromptManagerAPI(
db (PromptDatabase): Database connection and operations handler
"""
def __init__(self, db: PromptDatabase | None = None) -> None:
"""Initialize the API, using an injected database before any cleanup."""
def __init__(self):
"""Initialize the PromptManager API with database connection and cleanup."""
self.logger = get_logger("prompt_manager.api")
self.logger.info("Initializing PromptManager API")
self.db = db if db is not None else PromptDatabase()
self._history_read_fence = None
self._history_reads_closed = False
self.db = PromptDatabase()
self._cached_output_dir = None # Lazy-cached by _find_comfyui_output_dir()
self._html_cache = {} # Cached HTML file contents keyed by path
self._gallery_cache = {} # dict: path_str -> (files, timestamp)
@@ -370,10 +361,6 @@ class PromptManagerAPI(
# ── Web UI serving routes ─────────────────────────────────────
@routes.get("/prompt_manager/workspace")
async def serve_workspace_ui(request: web.Request) -> web.Response:
return self._serve_html_page("workspace.html", "Workspace")
@routes.get("/prompt_manager/web")
async def serve_web_ui(request):
return self._serve_html_page("index.html", "Web UI", cache=False)
@@ -404,9 +391,6 @@ class PromptManagerAPI(
# ── Register domain-specific routes from mixins ───────────────
self._register_pair_routes(routes)
self._register_library_routes(routes)
self._register_history_routes(routes)
self._register_prompt_routes(routes)
self._register_image_routes(routes)
self._register_admin_routes(routes)
+15 -105
View File
@@ -26,12 +26,8 @@ except ImportError:
try:
from ...database.operations import PromptDatabase
from ...database.pair_ingestion import ingest_resolved_pair
from ...utils.prompt_pair_resolver import resolve_prompt_pair
except ImportError:
from database.operations import PromptDatabase
from database.pair_ingestion import ingest_resolved_pair
from utils.prompt_pair_resolver import resolve_prompt_pair
try:
@@ -44,20 +40,6 @@ VIDEO_EXTENSIONS = (".mp4", ".avi", ".mov", ".mkv", ".webm", ".m4v", ".wmv")
SCAN_BATCH_SIZE = 50 # Files per executor call during the output scan
MAX_SAFETY_BACKUPS = 10 # '<db>.backup_*' files kept next to the live database
MAX_SCAN_FILES = 50_000 # Upper bound on media files one scan will look at
SCAN_COUNT_KEYS = (
"processed",
"found",
"added",
"linked",
"enriched",
"unchanged",
"ambiguous",
"unresolved",
"conflict",
"failed",
"pairs_added",
"pair_links_added",
)
MAX_SCAN_DEPTH = 12 # Directory levels below an output root that are scanned
# Files the duplicate cleaner may delete: everything the scan reports, plus
# the common single-f TIFF spelling. Anything else inside the output
@@ -377,10 +359,6 @@ class AdminRoutesMixin:
async def scan_images_route(request):
return await self.scan_images(request)
@routes.post("/prompt_manager/scan/cancel")
async def cancel_scan_route(request):
return await self.cancel_scan(request)
@routes.get("/prompt_manager/scan/status")
async def scan_status_route(request):
return await self.scan_status(request)
@@ -1248,24 +1226,9 @@ class AdminRoutesMixin:
{"success": False, "error": reason}, status=400
)
try:
backup_path = await self._run_in_executor(
model.restore_from_file, temp_path
)
except sqlite3.OperationalError as exc:
if (
getattr(exc, "_prompt_manager_restore_backup_created", False)
is True
):
try:
await self._run_in_executor(
_prune_safety_backups, model.db_path
)
except Exception:
self.logger.warning(
"Could not prune safety backups after failed restore"
)
raise
backup_path = await self._run_in_executor(
model.restore_from_file, temp_path
)
removed = await self._run_in_executor(_prune_safety_backups, model.db_path)
if removed:
self.logger.info(f"Removed {len(removed)} old safety backups")
@@ -1317,14 +1280,6 @@ class AdminRoutesMixin:
job = self._start_scan_job()
return await self._stream_scan_job(request, job)
async def cancel_scan(self, request):
"""Stop between file transactions; an in-flight extraction can finish."""
job = self._scan_job
requested = bool(job and job.running)
if requested:
job.cancelled = True
return web.json_response({"success": True, "cancellation_requested": requested})
async def scan_status(self, request):
"""Whether an output scan is running, and its latest progress event."""
job = self._scan_job
@@ -1396,7 +1351,7 @@ class AdminRoutesMixin:
media_files = await self._run_in_executor(
self._collect_output_media_sync, output_dirs
)
counts = dict.fromkeys(SCAN_COUNT_KEYS, 0)
counts = {"processed": 0, "found": 0, "added": 0, "linked": 0}
if media_files:
yield self._scan_progress(
5, f"Found {len(media_files)} media files to process...", counts
@@ -1409,9 +1364,7 @@ class AdminRoutesMixin:
f"found={counts['found']}, new_prompts_added={counts['added']}, "
f"images_linked_to_existing={counts['linked']}"
)
job = self._scan_job
final_type = "cancelled" if job and job.cancelled else "complete"
yield {"type": final_type, **counts, "directories": dir_names}
yield {"type": "complete", **counts, "directories": dir_names}
except Exception:
self.logger.exception("Scan error")
@@ -1427,8 +1380,6 @@ class AdminRoutesMixin:
"""
total = len(media_files)
for batch_start in range(0, total, SCAN_BATCH_SIZE):
if self._scan_job and self._scan_job.cancelled:
return
batch = media_files[batch_start : batch_start + SCAN_BATCH_SIZE]
batch_results = await self._run_in_executor(
self._extract_batch_metadata_sync, batch
@@ -1454,7 +1405,7 @@ class AdminRoutesMixin:
"progress": progress,
"status": status,
"processed": counts.get("processed", 0),
**{key: counts.get(key, 0) for key in SCAN_COUNT_KEYS},
"found": counts.get("found", 0),
}
def _collect_output_media_sync(self, output_dirs):
@@ -1480,64 +1431,25 @@ class AdminRoutesMixin:
def _ingest_scan_batch_sync(self, batch_results):
"""Store the prompts found in a metadata batch (blocking DB work)."""
counts = dict.fromkeys(SCAN_COUNT_KEYS, 0)
counts = {"processed": 0, "found": 0, "added": 0, "linked": 0}
for media_file, metadata in batch_results:
if self._scan_job and self._scan_job.cancelled:
break
counts["processed"] += 1
try:
outcome = self._ingest_scanned_file(media_file, metadata, detailed=True)
outcome = self._ingest_scanned_file(media_file, metadata)
except Exception as e:
self.logger.error(f"Error processing {media_file.name}: {e}")
counts["failed"] += 1
continue
if outcome is None:
continue
counts["found"] += 1
status = outcome["status"] if isinstance(outcome, dict) else outcome
if status in (
"added",
"linked",
"enriched",
"unchanged",
"ambiguous",
"unresolved",
"conflict",
"failed",
):
counts[status] += 1
if isinstance(outcome, dict):
counts["pairs_added"] += outcome.get("pairs_added", 0)
counts["pair_links_added"] += outcome.get("links_added", 0)
if outcome in ("added", "linked"):
counts[outcome] += 1
return counts
def _ingest_scanned_file(self, media_file, metadata, detailed=False):
"""Enrich exact pairs; retain legacy positive-only import for absent pairs."""
def _ingest_scanned_file(self, media_file, metadata):
"""Save or link one scanned file; returns 'added', 'linked', 'found' or None."""
if not metadata:
return None
canonical = dict(metadata)
for key in ("prompt", "workflow"):
if isinstance(canonical.get(key), str):
try:
canonical[key] = json.loads(canonical[key])
except (ValueError, TypeError):
# Preserve malformed metadata for conservative resolver rejection.
pass
if not canonical.get("prompt") and not canonical.get("parameters"):
return None
resolution = resolve_prompt_pair(canonical)
if resolution["state"] == "resolved":
result = ingest_resolved_pair(
self.db, str(media_file), canonical, resolution
)
return result if detailed else result["status"]
if resolution["state"] == "ambiguous":
return "ambiguous"
if resolution["state"] == "unresolved":
if canonical.get("prompt") or not isinstance(
canonical.get("parameters"), str
):
return resolution["state"]
parsed = self._parse_comfyui_prompt(metadata)
if not (parsed.get("prompt") or parsed.get("parameters")):
return None
@@ -1553,15 +1465,13 @@ class AdminRoutesMixin:
existing = self.db.get_prompt_by_hash(prompt_hash)
if existing:
try:
image_id = self.db.link_image_to_prompt(
existing["id"], str(media_file), metadata=canonical
)
self.db.link_image_to_prompt(existing["id"], str(media_file))
except Exception as e:
self.logger.error(
f"Failed to link {media_file.name} to existing prompt: {e}"
)
return "found"
return "linked" if image_id else "unchanged"
return "linked"
prompt_id = self.db.save_prompt(
prompt_text,
@@ -1574,7 +1484,7 @@ class AdminRoutesMixin:
if not prompt_id:
return "found"
try:
self.db.link_image_to_prompt(prompt_id, str(media_file), metadata=canonical)
self.db.link_image_to_prompt(prompt_id, str(media_file))
except Exception as e:
self.logger.error(f"Failed to link {media_file.name} to new prompt: {e}")
return "added"
-748
View File
@@ -1,748 +0,0 @@
"""Authenticated chronological windows and bounded frozen run details."""
import asyncio
import base64
import binascii
from functools import wraps
import json
import re
import sqlite3
from typing import Callable
from urllib.parse import urlencode
from aiohttp import web
from .library import _decode, _encode, _scope
from .history_current import (
CurrentLocationUnavailable,
CurrentOutputScope,
VIDEO_EXTENSIONS,
_OpenedCurrentMedia,
_current_media_response,
_prepare_current_media,
_reauthorize_current_target,
candidate_locator,
resolve_current_candidate,
snapshot_current_output_scope,
)
from .inspection_service import CurrentFileChanged, inspect_current_file
try:
from ...database.execution_history import HistoryEpochChanged
from ...database.history_gallery import read_history_gallery
from ...database.history_reads import (
HistoryCaptureChanged,
OutputPosition,
RunKey,
WindowPosition,
)
from ...utils.history_read_fence import HistoryReadFence
from ...utils.inspection_response import encode_history_inspection_response
except ImportError:
from database.execution_history import HistoryEpochChanged
from database.history_gallery import read_history_gallery
from database.history_reads import (
HistoryCaptureChanged,
OutputPosition,
RunKey,
WindowPosition,
)
from utils.history_read_fence import HistoryReadFence
from utils.inspection_response import encode_history_inspection_response
_RUN_MAX_BYTES = 8 * 1024 * 1024
_OUTPUTS_MAX_BYTES = 1024 * 1024
_UUID = re.compile(r"[0-9a-f]{8}(?:-[0-9a-f]{4}){3}-[0-9a-f]{12}")
_DIGEST = re.compile(r"[0-9a-f]{64}")
_DECIMAL = re.compile(r"0|[1-9][0-9]{0,18}")
_RUN_DECIMALS = (
"queue_item_id",
"observed_dequeue_at",
"observed_callback_at",
"executor_started_at",
"terminal_event_at",
)
_MESSAGES = {
"invalid-request": "Invalid history request",
"invalid-cursor": "Invalid history cursor; refresh recorded history",
"not-found": "Recorded history target not found",
"history-changed": "Recorded history changed; reload recorded history",
"storage-unavailable": "Recorded history is temporarily unavailable",
"response-limit": "Recorded history response exceeds the response limit",
"capture-changed": "Reported output capture changed; reload reported outputs",
"candidate-stale": "Current output locations changed; reload reported outputs",
"not-authorized": "Current output media is unavailable or not authorized",
}
class HistoryReadError(Exception):
"""A bounded public failure without private storage or capture details."""
def __init__(self, status: int, code: str, recovery: dict | None = None) -> None:
self.status = status
self.code = code
self.recovery = recovery
super().__init__(_MESSAGES[code])
def _error_response(error: HistoryReadError) -> web.Response:
return web.json_response(
{
"success": False,
"history_version": 1,
"code": error.code,
"error": str(error),
"recovery": error.recovery,
},
status=error.status,
headers={"Cache-Control": "no-store"},
)
def _history_errors(handler: Callable) -> Callable:
@wraps(handler)
async def wrapped(self, request: web.Request) -> web.Response:
try:
return await handler(self, request)
except HistoryReadError as error:
return _error_response(error)
except HistoryEpochChanged:
return _error_response(
HistoryReadError(409, "history-changed", {"action": "refresh-history"})
)
except ValueError:
return _error_response(HistoryReadError(400, "invalid-request"))
except (sqlite3.Error, OSError) as error:
self.logger.warning("History read unavailable (%s)", type(error).__name__)
return _error_response(
HistoryReadError(503, "storage-unavailable", {"action": "retry-read"})
)
return wrapped
def _decimal(value: object, *, minimum: int = 0) -> int:
if type(value) is not str or _DECIMAL.fullmatch(value) is None:
raise ValueError("Invalid decimal history integer")
parsed = int(value)
if not minimum <= parsed <= 2**63 - 1:
raise ValueError("History integer outside supported range")
return parsed
def _uuid(value: object) -> str:
if type(value) is not str or _UUID.fullmatch(value) is None:
raise ValueError("Invalid history UUID")
return value
def _query(request: web.Request) -> None:
if any(len(request.query.getall(key)) != 1 for key in request.query):
raise ValueError("Duplicate history query parameter")
def _page_limit(request: web.Request) -> int:
limit = _decimal(request.query.get("limit", "40"), minimum=1)
if limit > 100:
raise ValueError("History limit outside supported range")
return limit
def _decode_run_key(value: object) -> RunKey:
if type(value) is not list or len(value) != 4:
raise ValueError("Invalid history run key")
return (_decimal(value[0]), _uuid(value[1]), _decimal(value[2]), _uuid(value[3]))
def _wire_run_key(key: RunKey) -> list[str]:
return [str(key[0]), key[1], str(key[2]), key[3]]
def _cursor_payload(token: str, kind: str) -> object:
"""Use Library authentication, allowing only inline, domain-bound keys."""
try:
if not 1 <= len(token.encode("ascii")) <= 4096:
raise ValueError
raw = base64.b64decode(
token + "=" * (-len(token) % 4), altchars=b"-_", validate=True
)
wrapper = json.loads(raw[32:])
if type(wrapper) is not dict or set(wrapper) != {"scope", "key"}:
raise ValueError
return _decode(token, _scope({"kind": kind}))
except (ValueError, TypeError, binascii.Error, UnicodeError, RecursionError):
raise HistoryReadError(400, "invalid-cursor") from None
def _decode_window_cursor(
token: str | None, positive_id: int, *, resume: bool = False
) -> tuple[str | None, WindowPosition | None]:
if token is None:
return None, None
try:
value = _cursor_payload(token, "history-resume" if resume else "history-window")
if type(value) is not dict or set(value) != {
"version",
"epoch",
"positive_id",
"raw_text_id",
"upper",
} | (set() if resume else {"direction", "before"}):
raise ValueError
if (
type(value["version"]) is not int
or value["version"] != 1
or _decimal(value["positive_id"], minimum=1) != positive_id
or (not resume and value["direction"] != "older")
or type(value["raw_text_id"]) is not str
or _DIGEST.fullmatch(value["raw_text_id"]) is None
):
raise ValueError
epoch = _uuid(value["epoch"])
upper = _decode_run_key(value["upper"])
before = upper if resume else _decode_run_key(value["before"])
if before > upper:
raise ValueError
return epoch, WindowPosition(value["raw_text_id"], upper, before)
except ValueError:
raise HistoryReadError(400, "invalid-cursor") from None
def _encode_window_cursor(
position: WindowPosition | None,
epoch: str,
positive_id: int,
*,
resume: bool = False,
) -> str | None:
if position is None:
return None
value = {
"version": 1,
"epoch": epoch,
"positive_id": str(positive_id),
"raw_text_id": position.raw_text_id,
"upper": _wire_run_key(position.upper),
}
if not resume:
value.update(direction="older", before=_wire_run_key(position.before))
return _encode(
value,
_scope({"kind": "history-resume" if resume else "history-window"}),
)
def _node(value: object) -> str:
if type(value) is not str or not 1 <= len(value) <= 128 or "\0" in value:
raise ValueError("Invalid output node")
if len(value.encode("utf-8")) > 512:
raise ValueError("Invalid output node size")
return value
def _decode_output_cursor(
token: str | None, run_id: str, epoch: str
) -> OutputPosition | None:
if token is None:
return None
try:
value = _cursor_payload(token, "history-outputs")
if type(value) is not dict or set(value) != {
"version",
"epoch",
"run_id",
"capture_fingerprint",
"after",
}:
raise ValueError
if (
type(value["version"]) is not int
or value["version"] != 1
or _uuid(value["run_id"]) != run_id
or type(value["capture_fingerprint"]) is not str
or _DIGEST.fullmatch(value["capture_fingerprint"]) is None
or type(value["after"]) is not list
or len(value["after"]) != 2
or type(value["after"][1]) is not int
or not 0 <= value["after"][1] <= 255
):
raise ValueError
node = _node(value["after"][0])
if _uuid(value["epoch"]) != epoch:
raise HistoryReadError(
409, "history-changed", {"action": "refresh-history"}
)
return OutputPosition(value["capture_fingerprint"], (node, value["after"][1]))
except (ValueError, UnicodeError):
raise HistoryReadError(400, "invalid-cursor") from None
def _encode_output_cursor(
position: OutputPosition | None, run_id: str, epoch: str
) -> str | None:
if position is None:
return None
return _encode(
{
"version": 1,
"epoch": epoch,
"run_id": run_id,
"capture_fingerprint": position.capture_fingerprint,
"after": list(position.after),
},
_scope({"kind": "history-outputs"}),
)
def _current_stale() -> HistoryReadError:
return HistoryReadError(409, "candidate-stale", {"action": "reload-outputs"})
def _current_unavailable(reason: str) -> HistoryReadError:
if reason == "temporary_unavailable":
return HistoryReadError(503, "storage-unavailable", {"action": "retry-read"})
if reason == "missing":
return HistoryReadError(404, "not-found", {"action": "retry-read"})
return HistoryReadError(403, "not-authorized", {"action": "retry-read"})
def _check_current(
scope: CurrentOutputScope,
api: object,
fence: HistoryReadFence,
epoch: str,
generation: int,
) -> None:
if snapshot_current_output_scope(api).current_scope != scope.current_scope:
raise _current_stale()
fence.validate(epoch, generation)
def _media_descriptor(receipt: dict, candidate: dict, epoch: str) -> dict:
occurrence = receipt["occurrence"]
query = urlencode(
{
"node": occurrence["output_node_id"],
"ordinal": occurrence["image_ordinal"],
"epoch": epoch,
"current_scope": candidate["current_scope"],
}
)
base = f"/prompt_manager/history/runs/{occurrence['run_id']}/output/current"
return {
"kind": "reported-location",
"occurrence": occurrence,
"history_epoch": epoch,
"current_scope": candidate["current_scope"],
"location_key": candidate["location_key"],
"reference": receipt["reference"],
"filename": receipt["reference"]["filename"],
"is_video": receipt["reference"]["filename"]
.lower()
.endswith(tuple(VIDEO_EXTENSIONS)),
"url": f"{base}/media?{query}",
"thumbnail_url": f"{base}/thumbnail?{query}",
"inspection_url": f"{base}/inspection?{query}",
}
def _close_prepared_result(task: asyncio.Task) -> None:
try:
result = task.result()
except (Exception, asyncio.CancelledError):
return
if not isinstance(result, bytes):
result.close()
def _wire_run(run: dict) -> None:
run["diagnostics_omitted"] = bool(run["diagnostics_omitted"])
for key in _RUN_DECIMALS:
if run[key] is not None:
run[key] = str(run[key])
def _serialize_history(payload: dict, *, max_bytes: int | None = None) -> bytes:
try:
encoded = json.dumps(
payload, ensure_ascii=False, allow_nan=False, separators=(",", ":")
).encode("utf-8")
except (ValueError, TypeError, UnicodeError):
raise sqlite3.DatabaseError("Invalid recorded history payload") from None
if max_bytes is not None and len(encoded) > max_bytes:
raise HistoryReadError(422, "response-limit")
return encoded
def _success_response(encoded: bytes) -> web.Response:
return web.Response(
body=encoded,
content_type="application/json",
headers={"Cache-Control": "no-store"},
)
class HistoryRoutesMixin:
def _register_history_routes(self, routes: web.RouteTableDef) -> None:
routes.get("/prompt_manager/library/{positive_id}/history")(
self.get_library_history
)
routes.get("/prompt_manager/history/runs/{run_id}")(self.get_history_run)
routes.get("/prompt_manager/history/runs/{run_id}/outputs")(
self.get_history_outputs
)
routes.get("/prompt_manager/history/runs/{run_id}/output/current/media")(
self.get_history_current_media
)
routes.get("/prompt_manager/history/runs/{run_id}/output/current/thumbnail")(
self.get_history_current_thumbnail
)
routes.get("/prompt_manager/history/runs/{run_id}/output/current/inspection")(
self.get_history_current_inspection
)
def _history_fence(self) -> HistoryReadFence:
# Called synchronously by the event-loop owner before scheduling work.
if self._history_reads_closed:
raise sqlite3.OperationalError("History reads are closed")
if self._history_read_fence is None:
self._history_read_fence = HistoryReadFence(self.db)
return self._history_read_fence
def close_history_reads(self) -> None:
self._history_reads_closed = True
if self._history_read_fence is not None:
self._history_read_fence.close()
async def cleanup_history_reads(self, app: web.Application) -> None:
self.close_history_reads()
@_history_errors
async def get_library_history(self, request: web.Request) -> web.Response:
_query(request)
if set(request.query) - {"limit", "cursor", "resume"} or (
"cursor" in request.query and "resume" in request.query
):
raise ValueError("Invalid history window query")
positive_id = _decimal(request.match_info["positive_id"], minimum=1)
limit = _page_limit(request)
resuming = "resume" in request.query
expected_epoch, position = _decode_window_cursor(
request.query.get("resume" if resuming else "cursor"),
positive_id,
resume=resuming,
)
fence = self._history_fence()
db = self.db
def project() -> bytes:
generation = fence.begin()
try:
with db.recorded_history_snapshot(expected_epoch) as epoch:
try:
result = db.list_history_window(
positive_id, limit=limit, after=position, restart=resuming
)
except ValueError:
raise HistoryReadError(400, "invalid-cursor") from None
finally:
# Restore may retire this owner before a queued read opens it.
db.model.close()
if result is None:
fence.validate(epoch, generation)
raise HistoryReadError(404, "not-found")
result["next_cursor"] = _encode_window_cursor(
result.pop("next_position"), epoch, positive_id
)
result["resume_cursor"] = _encode_window_cursor(
result.pop("resume_position"), epoch, positive_id, resume=True
)
for run in result["items"]:
_wire_run(run)
encoded = _serialize_history(
{
"success": True,
"history_version": 1,
"history_epoch": epoch,
**result,
}
)
fence.validate(epoch, generation)
return encoded
return _success_response(await self._run_in_executor(project))
@_history_errors
async def get_history_run(self, request: web.Request) -> web.Response:
_query(request)
run_id = _uuid(request.match_info["run_id"])
expected_epoch = request.query.get("epoch")
if expected_epoch is not None:
_uuid(expected_epoch)
fence = self._history_fence()
db = self.db
def project() -> bytes:
generation = fence.begin()
try:
with db.recorded_history_snapshot(expected_epoch) as epoch:
result = db.get_history_run(run_id)
finally:
db.model.close()
if result is None:
fence.validate(epoch, generation)
raise HistoryReadError(404, "not-found")
_wire_run(result["run"])
encoded = _serialize_history(
{
"success": True,
"history_version": 1,
"history_epoch": epoch,
**result,
},
max_bytes=_RUN_MAX_BYTES,
)
fence.validate(epoch, generation)
return encoded
return _success_response(await self._run_in_executor(project))
def _history_gallery(
self, conn: sqlite3.Connection, paths: tuple[str, ...]
) -> tuple[dict, bool]:
try:
return read_history_gallery(conn, paths), False
except Exception as error:
self.logger.warning(
"Saved history display unavailable (%s)", type(error).__name__
)
return {}, True
@_history_errors
async def get_history_outputs(self, request: web.Request) -> web.Response:
_query(request)
run_id = _uuid(request.match_info["run_id"])
expected_epoch = _uuid(request.query.get("epoch"))
limit = _page_limit(request)
position = _decode_output_cursor(
request.query.get("cursor"), run_id, expected_epoch
)
fence = self._history_fence()
db = self.db
def project() -> bytes:
generation = fence.begin()
scope = snapshot_current_output_scope(self)
try:
with db.recorded_history_snapshot(expected_epoch) as epoch:
try:
result = db.list_history_outputs(
run_id, limit=limit, after=position
)
except HistoryCaptureChanged:
raise HistoryReadError(
409, "capture-changed", {"action": "reload-outputs"}
) from None
if result is not None:
paths = tuple(
dict.fromkeys(
path
for item in result["items"]
if (path := candidate_locator(item["reference"], scope))
is not None
)
)
gallery, saved_unavailable = self._history_gallery(
db.model.get_connection(), paths
)
finally:
db.model.close()
if result is None:
_check_current(scope, self, fence, epoch, generation)
raise HistoryReadError(404, "not-found")
resolved = {}
for receipt in result["items"]:
reference = receipt["reference"]
locator = tuple(reference.items())
if locator not in resolved:
try:
if saved_unavailable:
raise sqlite3.OperationalError(
"Optional saved display unavailable"
)
resolved[locator] = resolve_current_candidate(
reference, scope, gallery
).public
except Exception:
resolved[locator] = {
"status": "error",
"reason": "temporary_unavailable",
"evidence_class": "locator_candidate",
}
candidate = dict(resolved[locator])
if candidate["status"] == "available":
candidate["media"] = _media_descriptor(receipt, candidate, epoch)
receipt["current_candidate"] = candidate
result["next_cursor"] = _encode_output_cursor(
result.pop("next_position"), run_id, epoch
)
encoded = _serialize_history(
{
"success": True,
"history_version": 1,
"history_epoch": epoch,
**result,
}
)
_check_current(scope, self, fence, epoch, generation)
if len(encoded) > _OUTPUTS_MAX_BYTES:
recovery = (
{"action": "smaller-limit", "limit": max(1, limit // 2)}
if limit > 1
else None
)
raise HistoryReadError(422, "response-limit", recovery)
return encoded
return _success_response(await self._run_in_executor(project))
@_history_errors
async def get_history_current_media(
self, request: web.Request
) -> web.StreamResponse:
return await self._history_current(request, "media")
@_history_errors
async def get_history_current_thumbnail(
self, request: web.Request
) -> web.StreamResponse:
return await self._history_current(request, "thumbnail")
@_history_errors
async def get_history_current_inspection(
self, request: web.Request
) -> web.Response:
return await self._history_current(request, "inspection")
async def _history_current(
self, request: web.Request, kind: str
) -> web.StreamResponse:
_query(request)
run_id = _uuid(request.match_info["run_id"])
node = _node(request.query.get("node"))
ordinal = _decimal(request.query.get("ordinal"))
if ordinal > 255:
raise ValueError("Invalid output ordinal")
expected_epoch = _uuid(request.query.get("epoch"))
current_scope = request.query.get("current_scope")
if current_scope is None or _DIGEST.fullmatch(current_scope) is None:
raise ValueError("Invalid current output scope")
fence = self._history_fence()
db = self.db
def project() -> bytes | _OpenedCurrentMedia:
generation = fence.begin()
scope = snapshot_current_output_scope(self)
try:
with db.recorded_history_snapshot(expected_epoch) as epoch:
if scope.current_scope != current_scope:
raise _current_stale()
result = db.get_history_occurrence(run_id, node, ordinal)
if result is not None:
receipt = result["receipt"]
path = candidate_locator(receipt["reference"], scope)
gallery, saved_unavailable = self._history_gallery(
db.model.get_connection(),
(path,) if path is not None else (),
)
finally:
db.model.close()
if result is None:
_check_current(scope, self, fence, epoch, generation)
raise HistoryReadError(404, "not-found")
resolved = resolve_current_candidate(receipt["reference"], scope, gallery)
if resolved.public["status"] != "available":
_check_current(scope, self, fence, epoch, generation)
raise _current_unavailable(resolved.public["reason"])
prepared = None
try:
if kind == "inspection":
saved = gallery.get(path, {})
_reauthorize_current_target(resolved, scope)
observed = inspect_current_file(
resolved.canonical_target,
source_label=resolved.public["source_label"],
saved=saved.get("saved"),
library=saved.get(
"library",
{"status": "unavailable" if saved_unavailable else "none"},
),
)
_reauthorize_current_target(resolved, scope)
identity = {
**receipt,
"history_epoch": epoch,
"current_scope": scope.current_scope,
"location_key": resolved.public["location_key"],
"evidence_class": "locator_candidate",
"observation": "current-file",
}
try:
prepared = encode_history_inspection_response(
current_output=identity, **observed
)
except ValueError:
_check_current(scope, self, fence, epoch, generation)
raise HistoryReadError(422, "response-limit") from None
else:
prepared = _prepare_current_media(
resolved, scope, thumbnail=kind == "thumbnail"
)
_check_current(scope, self, fence, epoch, generation)
return prepared
except CurrentFileChanged:
if prepared is not None and not isinstance(prepared, bytes):
prepared.close()
_check_current(scope, self, fence, epoch, generation)
raise _current_stale() from None
except CurrentLocationUnavailable as error:
if prepared is not None and not isinstance(prepared, bytes):
prepared.close()
_check_current(scope, self, fence, epoch, generation)
raise (
_current_stale()
if error.stale
else _current_unavailable(error.reason)
) from None
except BaseException as error:
if prepared is not None and not isinstance(prepared, bytes):
prepared.close()
if isinstance(error, Exception) and not isinstance(
error, (HistoryReadError, HistoryEpochChanged, sqlite3.Error)
):
_check_current(scope, self, fence, epoch, generation)
raise
pending = asyncio.create_task(self._run_in_executor(project))
try:
prepared = await asyncio.shield(pending)
except asyncio.CancelledError:
pending.add_done_callback(_close_prepared_result)
raise
except (
HistoryReadError,
HistoryEpochChanged,
sqlite3.Error,
OSError,
ValueError,
):
raise
except Exception as error:
self.logger.warning(
"Current history media unavailable (%s)", type(error).__name__
)
raise _current_unavailable("temporary_unavailable") from None
if isinstance(prepared, bytes):
return _success_response(prepared)
return await _current_media_response(request, prepared)

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