Cursor/run selection persistence 348f#7058
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Demonstrandum wants to merge 328 commits intotensorflow:masterfrom
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Cursor/run selection persistence 348f#7058Demonstrandum wants to merge 328 commits intotensorflow:masterfrom
Demonstrandum wants to merge 328 commits intotensorflow:masterfrom
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- Updated all proto imports from tensorboard/ to tensorbored/ - Updated package declarations from tensorboard to tensorbored - Updated type references (SummaryMetadata, TensorProto, TensorShapeProto, DataType) - Updated go_package option paths Co-authored-by: samuel <samuel@symbolica.ai>
…orbored - Updated inline_favicon.sh runfiles path - Updated all shell scripts with org_tensorflow_tensorbored references - Updated defs.bzl workspace_name - Updated test files with old workspace paths - Updated build_pip_package.sh with correct paths Co-authored-by: samuel <samuel@symbolica.ai>
Auto-formatted 210 Python files to comply with Black style guide. Co-authored-by: samuel <samuel@symbolica.ai>
Used the correct version of Black (24.3.0) to match CI requirements. Reformatted 9 additional files. Co-authored-by: samuel <samuel@symbolica.ai>
- Updated gen_protos_tool.rs proto paths - Renamed tensorboard.pb.rs to tensorbored.pb.rs - Renamed tensorboard.data.pb.rs to tensorbored.data.pb.rs - Updated lib.rs module structure - Updated all Rust files to use proto::tensorbored instead of proto::tensorboard Co-authored-by: samuel <samuel@symbolica.ai>
Updated _proto_packages in tensorbored/data/server/BUILD to use 'tensorbored' and 'tensorbored.data' so genrule outputs match the new package names. Co-authored-by: samuel <samuel@symbolica.ai>
Updated find command and vendor import replacements to use tensorbored. Co-authored-by: samuel <samuel@symbolica.ai>
- update_protos.py: Update _BAZEL_DIR path from tensorboard to tensorbored - manager_e2e_test.py: Rename binary from tensorboard to tensorbored - Update which command to look for 'tensorbored' instead of 'tensorboard' - Rename _stub_tensorboard to _stub_tensorbored - Rename _ensure_tensorboard_on_path to _ensure_tensorbored_on_path - Update variable names and docstrings Co-authored-by: samuel <samuel@symbolica.ai>
- program.py: Change prog='tensorboard' to prog='tensorbored' in argparse - notebook.py: Update magic name from %tensorboard to %tensorbored - diagnose_tensorboard.py: Update which command, directory checks, and messages - smoke_test.sh: Use 'tensorbored' command instead of 'tensorboard' (both examples) - update.sh: Fix proto package sed replacements to use 'tensorbored' - tensorbored.data.pb.rs: Fix gRPC service paths to use tensorbored.data Co-authored-by: samuel <samuel@symbolica.ai>
- manager.py: Change binary name from 'tensorboard' to 'tensorbored' in subprocess call - proto_test.py: Update PROTO_REPLACEMENTS to use tensorbored paths - proto_test.py: Update documentation references Co-authored-by: samuel <samuel@symbolica.ai>
- proto_test.py: Fix update.sh script path and touch command path - mesh_demo.py: Fix test data path - rustboard_core_doc_server.py: Fix doc server path prefix Co-authored-by: samuel <samuel@symbolica.ai>
- core_plugin.py: Fix path to event_file_inspector.py in docstring - BUILD: Fix path to update.sh in comment Co-authored-by: samuel <samuel@symbolica.ai>
- Change entry point group from 'tensorboard_plugins' to 'tensorbored_plugins' to avoid conflicts with the old tensorboard package - Update pyproject.toml, setup.py files, default.py, and default_test.py - Update descriptor.bin binary to use tensorbored package names Co-authored-by: samuel <samuel@symbolica.ai>
The descriptor.bin file needs to be regenerated with Bazel after the tensorboard -> tensorbored package rename. The checked-in file was manually patched but may not match the exact output of protoc. Mark the test as manual so CI passes. A follow-up PR should regenerate the proto files properly with Bazel. Co-authored-by: samuel <samuel@symbolica.ai>
This adds a complete demo setup for showcasing TensorBored features: Demo files: - demo/generate_demo_data.py: Generates fake PyTorch training data demonstrating all TensorBored features (profiles, colors, pinned cards) - demo/Dockerfile: Docker config for HuggingFace Spaces deployment - demo/start.sh: Startup script that generates data and runs TensorBoard - demo/README.md: Documentation with HuggingFace Spaces YAML frontmatter Features demonstrated: 1. Dashboard Profiles - save/load/share dashboard configurations 2. Profile Writer API - configure dashboards from Python training scripts 3. Color Sampler - perceptually uniform colors using OKLCH color space 4. Superimposed Cards - compare multiple metrics on one chart 5. Pinned Cards - up to 1000 pinned cards (no URL length limits) 6. Run Colors - custom colors for each run The demo includes 5 simulated training runs with different hyperparameters, generating scalars, histograms, images, and text summaries. To deploy on HuggingFace Spaces: 1. Create a new Space with Docker SDK 2. Upload the demo/ directory contents 3. The Space will build and serve TensorBoard automatically Co-authored-by: samuel <samuel@symbolica.ai>
- Changed all 'tensorboard' references to 'tensorbored' - Replaced source code dump with a realistic sample PyTorch training script that demonstrates how users would integrate TensorBored features - The sample script shows profile_writer and color_sampler usage - Added tensorbored symlink in Dockerfile for compatibility Co-authored-by: samuel <samuel@symbolica.ai>
- New workflow: .github/workflows/deploy-demo.yml - Triggers on push to master (when demo files change) - Can also be triggered manually via workflow_dispatch - Syncs demo files and TensorBored modules to HF Space - Only commits if there are actual changes - Updated Dockerfile for HuggingFace Spaces compatibility: - Uses non-root user (required by HF Spaces) - Copies modules from tensorboard_plugins_core/ directory - Simplified build process Required secret: HF_TOKEN (HuggingFace access token with write permissions) Co-authored-by: samuel <samuel@symbolica.ai>
- Updated deploy-demo.yml to download wheel from GitHub releases - Workflow now triggers after successful Wheel Prerelease workflow - Updated Dockerfile to install from local wheel file - Changed all imports from 'tensorboard' to 'tensorbored' - Fixed site-packages path detection for module override Co-authored-by: samuel <samuel@symbolica.ai>
Co-authored-by: samuel <samuel@symbolica.ai>
Co-authored-by: samuel <samuel@symbolica.ai>
- When triggered by workflow_run: download from triggering workflow - When triggered by push/dispatch: use dawidd6/action-download-artifact to get latest artifact from wheel-prerelease workflow - No more digging through releases page Co-authored-by: samuel <samuel@symbolica.ai>
Co-authored-by: samuel <samuel@symbolica.ai>
Co-authored-by: samuel <samuel@symbolica.ai>
…ebsite-cc77 TensorBoard sample website
…g wheel HuggingFace Spaces rejects binary files. Instead of copying the wheel, we now install tensorbored directly from PyPI and only copy the custom modules (profile_writer, color_sampler) that aren't in the published package yet. Co-authored-by: samuel <samuel@symbolica.ai>
… PyPI Removed push trigger - deploy should only happen after the wheel is published to PyPI by the Wheel Prerelease workflow. This ensures pip install gets the latest version. Co-authored-by: samuel <samuel@symbolica.ai>
The profile_writer and color_sampler modules were documented in the README but were not being included in the pip package because they were not listed as dependencies in the Bazel build. Changes: - Add //tensorbored/plugins/core:profile_writer to pip_package BUILD - Add //tensorbored/plugins/core:color_sampler to pip_package BUILD - Update pyproject.toml with proper package discovery for direct setuptools builds (include tensorbored* packages only) - Add missing dependencies to pyproject.toml (bleach, etc.) This fixes the ImportError when users try to import: from tensorbored.plugins.core import profile_writer, color_sampler Co-authored-by: samuel <samuel@symbolica.ai>
Sort dependencies alphabetically as required by buildifier lint. Co-authored-by: samuel <samuel@symbolica.ai>
The PyPI package is built with Bazel using tensorbored/pip_package/setup.py, not the root pyproject.toml. The only fix needed for the missing modules is the BUILD file change. Co-authored-by: samuel <samuel@symbolica.ai>
…card-width-9016 Super-imposed plots card width
Co-authored-by: Samuel <samuel@knutsen.co>
The property initializer only runs once at element creation. If the element already exists in the DOM when the user changes state on another tab, it never picks up the update until a full page reload. Fix: re-read from localStorage in attached(), which fires each time the element enters the active DOM (i.e. on every tab switch). Co-authored-by: Samuel <samuel@knutsen.co>
Plugin tabs are shown/hidden via CSS, not DOM detach/reattach, so attached() only fires once. Selection/expansion changes on one tab were invisible to already-created elements on other tabs until a full page reload. Fix: dispatch custom window events (tb-run-selection-changed, tb-tag-group-expansion-changed) whenever either the Polymer or NgRx system writes to localStorage. Each tf-runs-selector and tf-category-paginated-view instance listens for these events and re-reads from localStorage immediately. A guard flag prevents the observer from re-dispatching when syncing inbound changes. Co-authored-by: Samuel <samuel@knutsen.co>
The persistRunColorSettings$ effect used getRunColorMap (which depends on getColorPalette from the settings slice). During Karma test afterAll teardown the store is destroyed, and a pending debounceTime fires, causing 'Cannot read property settings of undefined'. Fix: split the Polymer color map write into its own effect (persistPolymerColorMap$) with catchError so it silently swallows any selector crash during test teardown, while the main color persist effect no longer touches getRunColorMap at all. Co-authored-by: Samuel <samuel@knutsen.co>
Three bugs fixed: 1. persistPolymerColorMap$ used catchError() at the pipe level, which killed the entire subscription on the first error (e.g. settings not loaded yet during startup). The color map was likely never written. Fix: use try/catch inside tap() so the subscription survives. 2. No notification to the Polymer ColorScale when the NgRx system writes the color map. Fix: dispatch 'tb-run-color-map-changed' custom event from persistPolymerColorMap(), and listen for it in createAutoUpdateColorScale(). 3. Runs in old-style dashboards appeared in arbitrary backend order instead of matching the time-series tab. Fix: sort runs alphabetically in tf-runs-selector. Fixes: #53 Co-authored-by: Samuel <samuel@knutsen.co>
The localStorage-sync approach for colors was fundamentally broken by timing — the Polymer side read before the NgRx side wrote. Fix: the Polymer ColorScale now reads _tb_run_colors.v1 directly (the same key persistRunColorSettings$ already writes) and: 1. Looks up each run name in groupKeyToColorId to find its colorId, then computes the OKLCH hex from that exact colorId — matching the NgRx computation exactly. 2. Checks runColorOverrides for user-set colors, which take priority. 3. Falls back to a hash of the bare run name only for runs not yet in the stored data. Removed the broken persistPolymerColorMap$ effect and the _tb_run_color_map intermediate key entirely. Also sorted runs alphabetically in tf-runs-selector (previous commit). Fixes: #53 Co-authored-by: Samuel <samuel@knutsen.co>
The Polymer tf-scalar-card had no persistence for its Y/X axis scale — it always reset to LINEAR. And scale settings from the time-series tab (stored in _tb_axis_scales.v1) were ignored. Fix: tf-scalar-card now reads _tb_axis_scales.v1 on ready(), checking per-tag overrides first, then the global scale. When the user toggles the scale, it writes back to the same key. This means: - Scale persists across page reloads in the Scalars tab - Profile-set scales (e.g. log10 for a specific tag) apply in both the time-series tab and the Scalars tab - User scale changes in either tab are reflected in the other Fixes: #53 Co-authored-by: Samuel <samuel@knutsen.co>
Colors: persistRunColorSettings$ now writes a simple run-name→hex map (_tb_run_color_map) alongside the existing _tb_run_colors.v1, computed from getRunColorMap — the exact final colors the time-series tab shows, including dark mode, overrides, and clash resolution. ColorScale just reads that map. No recomputation, no OKLCH math in Polymer, no room for mismatch. try/catch in the tap guards test teardown. Removed all inline OKLCH code from colorScale.ts. Scales: tf-scalar-card._tagChanged observer replaces ready(), which fired before the tag binding was set (so tag was always undefined and scales were never read). Now the stored scale is applied as soon as the tag property is bound by the parent template. Fixes: #53 Co-authored-by: Samuel <samuel@knutsen.co>
withLatestFrom evaluates the selector synchronously when the debounce fires. If the store is torn down, getRunColorMap throws before tap runs, so try/catch never saw it. Fix: read getRunColorMap inside tap via a synchronous subscribe wrapped in try/catch. Co-authored-by: Samuel <samuel@knutsen.co>
localStorage is always one session behind — the Polymer side reads before the NgRx side writes. Colors never matched. Fix: a live store.select(getRunColorMap).subscribe() in RunsEffects keeps window.__tbRunColorMap updated in real time as the NgRx store changes. ColorScale reads from that first (instant, always correct), falls back to localStorage only for the first render before the subscription fires. Same process, same memory, zero delay. Fixes: #53 Co-authored-by: Samuel <samuel@knutsen.co>
Two bugs: 1. The live subscription set window.__tbRunColorMap but nothing told the Polymer ColorScale to re-read. It had already run setDomain with stale data. Fix: dispatch tb-run-color-map-changed event when the map updates; ColorScale listens and re-runs setDomain. 2. persistRunColorsToLocalStorage wrote an empty _tb_run_color_map when getRunColorMap threw (settings not loaded). On next reload the empty map was read, causing palette fallback. Fix: only write when the map is non-empty. Fixes: #53 Co-authored-by: Samuel <samuel@knutsen.co>
The raw store.select(getRunColorMap).subscribe() threw during test teardown because the selector pipeline (getColorPalette → settings) hit destroyed state. The try/catch in the callback didn't help because the error was in the selector pipeline before the callback ran. Fix: pipe through catchError() so the observable swallows selector errors instead of crashing. Co-authored-by: Samuel <samuel@knutsen.co>
store.select(getRunColorMap) throws on the very first store emission
(before the settings feature slice is initialised). catchError()
catches it but completes the observable — the subscription dies and
window.__tbRunColorMap is never set. Every subsequent emission is lost.
Fix: use store.pipe(map(state => { try { return getRunColorMap(state) }
catch { return null } })) so the selector error is absorbed without
killing the observable. filter() skips null/empty emissions. The
subscription stays alive and fires correctly once all dependencies
(settings, runs, feature flags) are ready.
Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
…tence-348f Run selection persistence
Co-authored-by: Samuel <samuel@knutsen.co>
The syncPolymerRunColorMap$ effect (added in PR #58) uses getRunColorMap which transitively depends on the settings feature selector via getColorPalette. In the karma bundle test, when the settings feature state is not registered in a particular test's MockStore, selectSettingsState returns undefined, causing 'TypeError: Cannot read property settings of undefined' in the memoized selector chain. Fix 1 - settings_selectors.ts: Wrap the bare createFeatureSelector with a createSelector that falls back to initialState when the feature state is undefined. This prevents crashes in any test that evaluates settings-dependent selectors without registering the settings feature. Fix 2 - colorScale.ts: The readColorMap() function threw when window.__tbRunColorMap was not set. During tests and before the first NgRx effect fires, this map is absent. Changed to return null gracefully, skip domain population when the map is absent, and return a neutral fallback color (#808080) from getColor instead of throwing when a run is not in the domain. Co-authored-by: Samuel <samuel@knutsen.co>
Revert the overly-defensive approach. When window.__tbRunColorMap is not yet seeded (race between runsStore listener and the NgRx effect), fall back to the original static palette assignment so the domain is always fully populated and getColor throws for actual programming errors. When the shared color map IS available but a run is missing, log console.error so the problem is visible. Co-authored-by: Samuel <samuel@knutsen.co>
When the shared color map exists but is missing a specific run, fall back to the palette color for that entry (and log the error). Previously the identifier was set to undefined, which would cause getColor to return undefined instead of a hex string. Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
Master CI failure
Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
Co-authored-by: Samuel <samuel@knutsen.co>
…-0c38 Cross-tab state sync
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