diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 717bc3b..290387f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -18,7 +18,7 @@ jobs: python-version: "3.12" cache: pip - name: Install - run: python -m pip install -e '.[dev,quantum]' + run: python -m pip install -e '.[dev,quantum,web]' - name: Test run: pytest - name: Lint @@ -38,9 +38,9 @@ jobs: python-version: "3.12" cache: pip - name: Install - run: python -m pip install -e '.[dev]' + run: python -m pip install -e '.[dev,web]' - name: Test - run: pytest tests/test_problems.py tests/test_new_families.py tests/test_identity.py tests/test_capabilities.py tests/test_json_contract.py tests/test_cli.py tests/test_experiments.py tests/test_bqm.py tests/test_family_qaoa.py tests/test_campaigns.py tests/test_analysis.py tests/test_sense_and_historical.py + run: pytest tests/test_problems.py tests/test_new_families.py tests/test_identity.py tests/test_capabilities.py tests/test_json_contract.py tests/test_cli.py tests/test_experiments.py tests/test_bqm.py tests/test_family_qaoa.py tests/test_campaigns.py tests/test_analysis.py tests/test_sense_and_historical.py tests/web - name: Lint run: ruff check . - name: Formatting diff --git a/.gitignore b/.gitignore index aceaf3f..67bde63 100644 --- a/.gitignore +++ b/.gitignore @@ -25,6 +25,8 @@ data/artifacts/* /experiments/ /artifacts/ /data/examples/ +/data/reports/ +/reports/ # Legacy/root-level runtime paths used by older local invocations. /variaq.db diff --git a/CHANGELOG.md b/CHANGELOG.md index 9b3cbc5..b23f769 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -3,6 +3,46 @@ VariaQ follows semantic versioning while pre-1.0. Release dates will be added when a public release is created. +## 0.7.0 — local web UI + +- Added an optional, local-first web interface (`pip install 'variaq[web]'`, + then `variaq web`) for inspecting capabilities, problems, runs, campaigns, + analysis, and reports. The UI is a presentation layer over VariaQ's existing + application services; it queries no database directly from the browser and + recomputes no scientific results. +- Added a shared application/service facade (`variaq.services`) used by the web + server and available to future integrations, with bounded, offset-paginated, + filterable run and problem listings. +- Added additive, read-only query methods to `ExperimentStore` + (`query_runs`, `iter_problem_summaries`, `iter_problem_run_summaries`, + `get_problem_definition`, `problem_run_count`) and reverse-lookup methods to + `CampaignStore` (`campaigns_for_run`, `campaigns_for_problem`). Existing run + records, problem artifacts, and schema version `1` are untouched. +- Added a versioned local JSON API under `/api/v1/`, independent of the CLI + `schema_version`. +- Added `variaq web` CLI command with loopback-only default (`127.0.0.1:8701`) + and a prominent warning when binding to a non-loopback address. The 0.7 UI is + local-first software and makes no internet-facing security claim. +- Added `variaq.web` with a FastAPI application, Jinja2 templates, a vendored + Chart.js for campaign-scaling charts, and no Node.js requirement at runtime. +- Campaign planning precedes execution in the UI. Campaign execution is local, + sequential, one-at-a-time, and owned by the server process; VariaQ's + default max-run guard (500 runs) is never bypassed and surfaces as a + requiring-override state in the UI. +- Added run detail, problem detail, campaign detail, analysis, report, and + capabilities pages with objective/expectation/BQM energy displayed as distinct + labeled quantities, provenance (campaign membership, rerun lineage, source-run + counts), and empty states for a fresh install. +- Added safe report downloads confined to files registered to a known report + artifact inside the configured reports root; path traversal is rejected. +- Added `docs/web-ui.md` and `docs/web-ui-architecture.md`. +- Added 46 web tests (`tests/web/`) covering the API, campaign plan/run, + analysis, report flow, scientific label contracts, loopback defaults, remote + bind warnings, traversal, malformed input, empty states, and a regression + guard that capability/status reads never mutate experiment storage. +- No Triagewall, Ollama Fleet, bb scheduling, physical-QPU, or cloud-provider + code was added; `bb-plugin-variaq` is untouched. + ## 0.6.0 — campaigns, analysis, and reporting - Added domain-neutral `ExperimentCampaign` definitions with deterministic IDs, diff --git a/README.md b/README.md index db42e25..4b8bdc7 100644 --- a/README.md +++ b/README.md @@ -28,13 +28,13 @@ results, and is designed to grow through problem, solver, backend, and adapter boundaries. VariaQ is not a claim of quantum advantage, production scheduler, distributed -service, hardware benchmark based on simulator speed, web service, telemetry +service, hardware benchmark based on simulator speed, hosted SaaS, telemetry collector, or cloud-account requirement. It cannot currently submit work to a physical QPU. ## Current capabilities -VariaQ 0.5 supports domain-neutral optimization problem families: +VariaQ 0.7 supports domain-neutral optimization problem families: - **MaxCut** — weighted graph partitioning into two sets. - **Assignment** — tasks/resources with scores, costs, capacities, demands, and @@ -54,7 +54,7 @@ support: depends on the installed quantum backend and the binary-variable budget (see `variaq capabilities --json`). - **Graph Partitioning**: BQM lowering is implemented and tested, but quantum - support is experimental and not advertised for 0.5.0. + support is experimental and not advertised for 0.7.0. Solvers: @@ -125,9 +125,21 @@ Choose the smallest installation needed: python -m pip install -e . # exact and heuristic python -m pip install -e '.[quantum]' # add Qiskit python -m pip install -e '.[cudaq]' # add CUDA-Q +python -m pip install -e '.[web]' # add the optional local web UI python -m pip install -e '.[dev,quantum,cudaq]' ``` +### Web UI (optional) + +```bash +python -m pip install -e '.[web]' +variaq web +``` + +Then open . The UI is local-first and loopback-only by +default; see [docs/web-ui.md](docs/web-ui.md) for the security model, campaign +workflow, and API. + Python 3.12 or newer is required. CUDA-Q remains bounded to `>=0.16,<0.17` because upstream `observe` and `sample` interfaces are changing; the adapter must be reverified before widening the bound. CUDA-Q may diff --git a/ROADMAP.md b/ROADMAP.md index 434472b..0c1341b 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -60,7 +60,7 @@ These are directions, not implemented features or delivery commitments. quantum solvers; - capability matrix derived from solver `supported_families` declarations. -## v0.6 — analysis, reporting, and scaling (in progress) +## v0.6 — analysis, reporting, and scaling (completed in 0.6.0) - domain-neutral `ExperimentCampaign` definitions with deterministic IDs; - bounded local campaign runner with default run-count guard and failure isolation; @@ -73,20 +73,25 @@ These are directions, not implemented features or delivery commitments. - JSON, CSV, and Markdown report exports; - optional matplotlib plot generation from analysis data. -## v0.7 and later — heterogeneous execution, physical QPU exploration, and adapters +## v0.7 — local web UI (completed scope) -- explicitly authorized physical QPU execution; -- heterogeneous resources, optional remote workers, HPC/Slurm exploration, - optional server/API mode, and optional web UI. +- optional local-first web interface over a shared application service layer; +- versioned local JSON API (`/api/v1/`) with loopback-only default binding; +- dashboard, problems, runs, campaigns, analysis, reports, and capabilities pages; +- campaign plan-before-run workflow preserving the existing max-run guard; +- in-process sequential campaign execution with status/progress (no worker queue); +- analysis-visualization charts driven by structured `AnalysisResult` data; +- safe report downloads confined to known report artifacts. + +## v0.8 and later — later exploration + +Future candidates after 0.7 (none committed): richer interactive charts on the +existing API, campaign execution progress refinement, stronger classical +baselines evaluated only where they add scientific value, Graph Partition +quantum research, and optional authenticated LAN mode for trusted labs. +Physical-QPU execution, remote workers, and cloud hosting remain out of scope +pending explicit future design. Possible external applications include cybersecurity, AI-agent scheduling, logistics, graph optimization, scientific computing, and materials research. They should use adapters rather than define VariaQ core. - -## Recommended next milestone: 0.7 local web UI - -The 0.6 analysis/reporting layer provides a clean backend for visualization. -A natural next milestone is a local web UI that consumes reports and campaigns -without moving scientific logic into the frontend. Another candidate is stronger -classical optimization baselines, evaluated only where they add clear scientific -value. diff --git a/docs/releases/v0.7.0.md b/docs/releases/v0.7.0.md new file mode 100644 index 0000000..b12079b --- /dev/null +++ b/docs/releases/v0.7.0.md @@ -0,0 +1,80 @@ +# VariaQ 0.7.0 — Local Web UI + +Release date: TBD (release-hardening complete). + +## Highlights + +- Optional local web interface: install with `pip install 'variaq[web]'` and + start with `variaq web`. +- Shared `VariaQService` application layer and a versioned local JSON API under + `/api/v1/`. +- Dashboard, problem/run/campaign detail, campaign planning and bounded + execution, analysis charts with data tables, reports, and capabilities views. +- Safe report downloads limited to known report artifacts beneath the configured + report root. +- Packaged Jinja templates, CSS, vanilla JavaScript, and vendored Chart.js; Node + is not required at runtime. + +## Local startup and data roots + +The default server address is : + +```bash +variaq web +``` + +Existing local datasets can be selected explicitly: + +```bash +variaq --db /path/to/variaq.sqlite3 --problems-dir /path/to/problems \ + web --reports-dir /path/to/reports +``` + +The UI is local-first and has no authentication or internet-hardening claim. +Binding to a non-loopback address prints a prominent warning; use that only on +a trusted LAN and do not expose this server to the public internet. + +## Campaign and report workflow + +Campaign creation is plan-first. The plan displays the family, problem count, +requested run count, solver breakdown, unavailable combinations, warnings, and +the default 500-run limit before execution. Over-limit execution requires an +explicit acknowledgement and still passes through VariaQ's own max-run guard. +Execution is local, sequential, and limited to one campaign per server process. + +Campaign analysis is calculated by VariaQ, not JavaScript. Charts consume the +structured analysis result and retain tabular text alternatives. Report pages +show report/campaign provenance, source-run counts, formats, and constrained +artifact downloads. + +## Scientific presentation + +Run pages keep decoded objective, optimized expectation, and lowered BQM energy +as distinct labeled quantities. Feasible and infeasible sample counts are shown +separately and do not determine run status. Quality and gap calculations remain +objective-sense aware in the Python analysis layer. + +## Compatibility and packaging + +- Python 3.12 or newer. +- Existing schema-version-`1` experiment databases remain compatible. +- The base installation does not require FastAPI, Jinja2, or Uvicorn. +- Linux and Windows CI exercise the web/API test suite; CUDA-Q, a GPU, and a + physical QPU are not required. +- The wheel contains all templates and static assets needed by the installed + server. + +## Known limitations + +- Task progress is in memory. If the server stops during a campaign, recorded + runs remain durable but the progress entry is lost. +- There are no accounts, collaboration features, remote workers, or remote + quantum providers. +- Charts currently cover campaign scaling analysis only. +- The UI is a local research interface, not a hardened multi-user web service. + +## Explicit non-goals + +No Triagewall integration, Ollama Fleet integration, bb scheduling logic, +physical-QPU execution, remote quantum provider, or `bb-plugin-variaq` change is +part of this release. diff --git a/docs/web-ui-architecture.md b/docs/web-ui-architecture.md new file mode 100644 index 0000000..5d01668 --- /dev/null +++ b/docs/web-ui-architecture.md @@ -0,0 +1,71 @@ +# Web UI architecture decision (VariaQ 0.7.0) + +## Chosen architecture + +**FastAPI (backend) + Jinja2 server-rendered templates + vanilla JavaScript + Chart.js (vendored).** + +- One ASGI app (`variaq.web.app`) serves both the versioned JSON API (`/api/v1/`) + and HTML pages. +- HTML pages are server-rendered Jinja2 templates; lightweight vanilla JS fetches + structured JSON from the same origin for dynamic tables, charts, and forms. +- Chart.js is vendored as a single static file. No Node.js, bundler, or frontend + build step exists at runtime or for contributors. +- The web layer talks to a shared application/service module + (`variaq.services`) which wraps the existing VariaQ subsystems. The browser + never touches SQLite directly and never computes scientific metrics. + +## Why + +| Requirement | How this stack meets it | +|---|---| +| Python backend integrates naturally with VariaQ | FastAPI is pure Python; services import VariaQ modules directly. | +| Optional dependency from base VariaQ | `[web]` extra only: fastapi, uvicorn, jinja2, python-multipart. Base install unchanged. | +| Minimal toolchain complexity | No Node/npm/Vite. Templates + static files shipped in the wheel. | +| Responsive research dashboard | Server-rendered HTML + CSS grid/flex; JS only for charts and async updates. | +| Charts/tables manageable | Chart.js consumes structured `AnalysisResult` JSON; tables render from bounded list endpoints. | +| Testable | FastAPI's `TestClient` (httpx) exercises API and HTML without a browser. | +| Maintainable by outside contributors | Plain Python + HTML/CSS/JS; no transpilation or framework lock-in beyond FastAPI/Jinja. | +| Local-first, safe defaults | FastAPI/uvicorn bind to 127.0.0.1 by default; warning on non-loopback. | + +## Alternatives considered + +**B. FastAPI + React/Vite.** Rejected for 0.7.0: introduces Node.js as a build +prerequisite, a compiled-frontend packaging problem, TypeScript codegen pressure, +and a large amount of tooling for an interface whose interactivity needs +(tables, forms, a handful of charts) are modest. The milestone explicitly +prefers avoiding a large frontend build system unless it materially improves +the product; it does not here. The API boundary being established means a +compiled SPA can be added later without changing the backend. + +**C. NiceGUI / Reflex / Panel / Streamlit.** Rejected: these couple UI widgets to +Python objects, which invites business logic into the presentation layer and +makes the clean API boundary (needed for future integrations) harder to keep +honest. Streamlit in particular is multi-document-unfriendly and has weak +control over information density and navigation structure. + +**D. HTMX-heavy partial-page swaps.** Considered as a variant of the chosen +stack. A small amount of fetch-based JS was judged simpler than introducing an +HTMX dependency for the handful of dynamic regions; charts need real JS anyway. + +## Packaging implications + +- `templates/` and `static/` live inside `src/variaq/web/` and are included in + the wheel via hatchling package data. Running the UI requires only + `pip install 'variaq[web]'`. +- No `node_modules`, source maps, or dev-server files are shipped. +- Base install (no `[web]`) remains dependency-free of FastAPI/uvicorn/Jinja2; + `variaq web` prints an actionable install hint rather than a traceback. + +## Development workflow + + pip install -e ".[web,dev]" + variaq web # serves http://127.0.0.1:8701 + pytest tests/web # API + template tests, no browser needed + +## Future extension path + +- The `/api/v1/` contract is the stable boundary: a React/Vite SPA, a TUI, or + third-party integrations can consume it without touching server code. +- Campaign task tracking is intentionally in-process and single-flight; a richer + progress model can be added behind the same `/api/v1/campaigns/tasks/` + endpoints without breaking the UI. diff --git a/docs/web-ui.md b/docs/web-ui.md new file mode 100644 index 0000000..be26b7c --- /dev/null +++ b/docs/web-ui.md @@ -0,0 +1,141 @@ +# VariaQ Web UI + +An optional, local-first web interface for inspecting and operating VariaQ: +capabilities, problems, runs, campaigns, analysis, and reports. + +The UI sits on top of the existing VariaQ Python application layer. It never +queries SQLite directly from the browser and never recomputes scientific +results — all metrics, analyses, plans, and reports come from VariaQ itself. + +## Installation + +```bash +pip install -e ".[web]" +``` + +The base install stays usable without the web extra (exact/heuristic solvers, +CLI, storage, and analysis keep working). `variaq web` without the extra prints +an install hint. + +## Starting the UI + +```bash +variaq web +``` + +Then open . + +| Flag | Default | Meaning | +|---|---|---| +| `--host` | `127.0.0.1` | Bind address. Loopback-only by default. | +| `--port` | `8701` | Local port. | +| `--db` (global, before `web`) | `data/variaq.sqlite3` | Experiment database (read/write for campaigns). | +| `--problems-dir` (global, before `web`) | `data/problems` | Saved problem artifacts. | +| `--reports-dir` | `data/reports` | Report discovery and output root. | + +To serve an existing dataset whose reports live elsewhere, configure all three +roots explicitly; the report path is not inferred from the database path: + +```bash +variaq --db /path/to/demo.sqlite3 --problems-dir /path/to/problems \ + web --reports-dir /path/to/reports +``` + +Reports are written to `data/reports/` by default. Downloads remain limited to +known VariaQ artifacts beneath the configured root. + +## Default bind address and security + +The server binds to **127.0.0.1** by default: it is only reachable from this +machine. The 0.7 UI is local-first software with **no hardened +internet-facing authentication or authorization**. + +If you deliberately bind to another address for a trusted lab LAN: + +```bash +variaq web --host 0.0.0.0 --port 8701 +``` + +VariaQ prints a prominent warning. Do not expose this UI to the public internet. +Do not treat loopback-only software as internet-ready. + +## What the UI exposes + +- **Dashboard** — VariaQ version, database name, problem/run/campaign/report + counts, recent activity, solver/backend availability, physical-QPU status. +- **Campaigns** — list, detail (definition, execution summary, member runs, + solver breakdown, analysis, reports), and a creation form with a **Plan** + step before execution. +- **Runs** — filterable, paginated table (family, solver, backend, status, + campaign) plus a run detail page separating objective, quantum/BQM + diagnostics, backend metadata, and provenance. +- **Problems** — searchable list and detail pages with associated runs and + campaigns. +- **Reports** — generated report artifacts with metadata, source-run counts, + and safe downloads. +- **Capabilities** — the live VariaQ capability matrix. + +## Campaign workflow + +1. Open **Campaigns → New campaign**. +2. Fill in the family-aware form and choose **Plan campaign**. +3. Review the plan: problem instances, requested runs, per-solver breakdown, + unavailable combinations, and warnings. +4. If the request exceeds the default maximum (500 runs), an explicit override + checkbox appears with a plain-language warning. VariaQ's own max-run guard + is never bypassed. +5. Choose **Run campaign**. Execution is local and sequential, owned by the + server process; progress is visible in the UI. + +## Reports + +From a campaign detail page, generate JSON/CSV/Markdown (and optional matplotlib +plots). Reports preserve `source_run_ids`. Downloads are restricted to files +that belong to a known report artifact inside the reports root — the UI cannot +read arbitrary files from disk. + +## Limitations (0.7.0) + +- One campaign executes at a time per server process (deliberate, no worker + queue). Task state is in-memory: if the server is stopped mid-campaign, + already-recorded runs remain in the database, but the task progress entry is + lost. +- No accounts, collaboration, or remote execution. +- Charts cover campaign scaling analysis only. + +## Security model and non-goals + +The web layer provides **no** shell execution, arbitrary Python import, raw +SQL, arbitrary filesystem browsing, credential management, or telemetry. +Write actions (campaign run, report generation) use explicit bounded schemas. + +Out of scope for 0.7: physical QPU access, IBM Runtime, AWS Braket, D-Wave, +cloud accounts, internet-hosted SaaS, and any domain-specific integration. + +## API + +The UI is driven by the same versioned local JSON API it serves: + +``` +GET /api/v1/capabilities +GET /api/v1/overview +GET /api/v1/problems ?family=&search=&limit=&offset= +GET /api/v1/problems/{id} +GET /api/v1/runs ?family=&solver=&backend=&status=&campaign_id=&problem_id=&limit=&offset= +GET /api/v1/runs/{id} +GET /api/v1/campaigns ?limit=&offset= +GET /api/v1/campaigns/{id} +POST /api/v1/campaigns/plan +POST /api/v1/campaigns/run +GET /api/v1/campaigns/tasks/current +GET /api/v1/campaigns/tasks/{task_id} +POST /api/v1/analysis/runs +POST /api/v1/analysis/campaigns/{id} +GET /api/v1/reports +GET /api/v1/reports/{id} +POST /api/v1/reports/campaigns/{id} +GET /api/v1/reports/{id}/files/{filename} +GET /api/v1/health +``` + +The `v1` API version is independent of the CLI's `schema_version = "1"`. diff --git a/pyproject.toml b/pyproject.toml index 1c0949c..cf29264 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "hatchling.build" [project] name = "variaq" -version = "0.6.0" +version = "0.7.0" description = "Local-first reproducible comparison of classical, GPU-accelerated, and quantum methods" readme = "README.md" requires-python = ">=3.12" @@ -40,10 +40,18 @@ cudaq = [ ] dev = [ "build>=1.2", + "httpx>=0.27", "numpy>=1.26", "pytest>=8,<10", "ruff>=0.11", ] +web = [ + "fastapi>=0.115", + "jinja2>=3.1", + "pydantic>=2", + "python-multipart>=0.0.9", + "uvicorn>=0.30", +] [project.scripts] variaq = "variaq.cli:main" diff --git a/src/variaq/__init__.py b/src/variaq/__init__.py index 72d5b40..9d131ec 100644 --- a/src/variaq/__init__.py +++ b/src/variaq/__init__.py @@ -1,6 +1,6 @@ """VariaQ: reproducible optimization experiment comparisons.""" -__version__ = "0.6.0" +__version__ = "0.7.0" from variaq import adapter, lower, models from variaq.problems import ( diff --git a/src/variaq/campaigns/runner.py b/src/variaq/campaigns/runner.py index aa883e1..3a3f068 100644 --- a/src/variaq/campaigns/runner.py +++ b/src/variaq/campaigns/runner.py @@ -75,8 +75,20 @@ def __init__( self.max_runs = max_runs def run( - self, campaign: ExperimentCampaign, *, override_max_runs: bool = False + self, + campaign: ExperimentCampaign, + *, + override_max_runs: bool = False, + on_run_recorded: Any | None = None, + should_abort: Any | None = None, ) -> dict[str, Any]: + """Execute a campaign sequentially. + + ``on_run_recorded`` (optional) is invoked after each run is persisted and + associated with the campaign; ``should_abort`` (optional) is polled before + each problem to allow cooperative cancellation by an embedding process + such as the web UI task manager. Defaults preserve existing CLI behavior. + """ requested = campaign.requested_runs if requested > self.max_runs and not override_max_runs: raise ValidationError( @@ -97,9 +109,16 @@ def run( "unavailable": 0, "skipped": 0, } + aborted = False for size in campaign.problem_sizes: + if should_abort is not None and should_abort(): + aborted = True + break for seed in campaign.problem_seeds: + if should_abort is not None and should_abort(): + aborted = True + break key = (size, seed) if key not in generated_problems: generated_problems[key] = _generate_problem( @@ -154,6 +173,22 @@ def run( problem_id=run.result.problem_id, created_at=run.created_at, ) + if on_run_recorded is not None: + on_run_recorded(run, len(all_runs)) + + if aborted: + summary_statuses["aborted"] = 1 + return { + "campaign_id": campaign_id, + "name": campaign.name, + "family": campaign.family, + "requested_runs": requested, + "completed_runs": len(all_runs), + "status_summary": summary_statuses, + "problem_ids": sorted({run.result.problem_id for run in all_runs}), + "run_ids": [run.run_id for run in all_runs], + "aborted": True, + } return { "campaign_id": campaign_id, diff --git a/src/variaq/campaigns/store.py b/src/variaq/campaigns/store.py index a9388ec..1f31f43 100644 --- a/src/variaq/campaigns/store.py +++ b/src/variaq/campaigns/store.py @@ -140,6 +140,30 @@ def get_runs_with_status(self, campaign_id: str) -> list[dict[str, Any]]: ).fetchall() return [dict(row) for row in rows] + def campaigns_for_run(self, run_id: str) -> list[dict[str, Any]]: + with self._connection() as connection: + rows = connection.execute( + """ + SELECT c.campaign_id, c.name, c.family, c.created_at + FROM campaigns c JOIN campaign_runs cr ON cr.campaign_id = c.campaign_id + WHERE cr.run_id = ? ORDER BY c.created_at DESC + """, + (run_id,), + ).fetchall() + return [dict(row) for row in rows] + + def campaigns_for_problem(self, problem_id: str) -> list[dict[str, Any]]: + with self._connection() as connection: + rows = connection.execute( + """ + SELECT DISTINCT c.campaign_id, c.name, c.family, c.created_at + FROM campaigns c JOIN campaign_runs cr ON cr.campaign_id = c.campaign_id + WHERE cr.problem_id = ? ORDER BY c.created_at DESC + """, + (problem_id,), + ).fetchall() + return [dict(row) for row in rows] + def count(self) -> int: with self._connection() as connection: return int(connection.execute("SELECT COUNT(*) FROM campaigns").fetchone()[0]) diff --git a/src/variaq/cli.py b/src/variaq/cli.py index 2a60365..edc731f 100644 --- a/src/variaq/cli.py +++ b/src/variaq/cli.py @@ -432,6 +432,18 @@ def _build_parser() -> argparse.ArgumentParser: show_run.add_argument("run_id") reproduce = runs_commands.add_parser("reproduce", parents=[_json_flag()]) reproduce.add_argument("run_id") + + web = subcommands.add_parser( + "web", help="Start the optional local web UI (requires the 'web' extra)" + ) + web.add_argument("--host", default=None, help="Bind address (default: 127.0.0.1)") + web.add_argument("--port", type=int, default=None, help="Port (default: 8701)") + web.add_argument( + "--reports-dir", + type=Path, + default=None, + help="Report output root (default: data/reports)", + ) return parser @@ -1028,6 +1040,32 @@ def _command_runs( return 0 +def _command_web(args: argparse.Namespace) -> int: + try: + from variaq.web import web_dependencies_available + except ImportError: + web_dependencies_available = None + if web_dependencies_available is None or not web_dependencies_available(): + message = ( + "The VariaQ web UI requires optional dependencies.\n" + "Install VariaQ with the web extra:\n" + " pip install 'variaq[web]'" + ) + print(message, file=sys.stderr) + return 2 + from variaq.web.config import DEFAULT_HOST, DEFAULT_PORT, DEFAULT_REPORTS_DIR, WebConfig + from variaq.web.server import serve + + config = WebConfig( + host=args.host or DEFAULT_HOST, + port=args.port if args.port is not None else DEFAULT_PORT, + db_path=args.db, + problems_dir=args.problems_dir, + reports_dir=args.reports_dir or DEFAULT_REPORTS_DIR, + ) + return serve(config) + + def main(argv: list[str] | None = None) -> int: parser = _build_parser() args = parser.parse_args(argv) @@ -1038,6 +1076,8 @@ def main(argv: list[str] | None = None) -> int: return _command_adapter(args) if args.command == "capabilities": return _command_capabilities(args) + if args.command == "web": + return _command_web(args) store = ExperimentStore(args.db) campaign_store = CampaignStore(args.db) runner = ExperimentRunner(store) diff --git a/src/variaq/experiments/storage.py b/src/variaq/experiments/storage.py index 18d1bfe..8073f67 100644 --- a/src/variaq/experiments/storage.py +++ b/src/variaq/experiments/storage.py @@ -12,6 +12,36 @@ from variaq.problems.base import problem_from_dict +def _problem_size_hint(problem_type: str, definition: dict[str, Any]) -> dict[str, Any]: + """Extract a small, family-aware size descriptor from a stored definition.""" + + def _count(primary: Any, scalar: Any) -> Any: + if isinstance(primary, list): + return len(primary) + if primary is not None: + return primary + return scalar + + if problem_type == "maxcut" or problem_type == "graph-partition": + nodes = _count(definition.get("node_ids"), definition.get("node_count")) + edges = definition.get("edges") or [] + hint: dict[str, Any] = { + "nodes": nodes, + "edges": len(edges) if isinstance(edges, list) else edges, + } + if problem_type == "graph-partition" and definition.get("partition_count"): + hint["partitions"] = definition["partition_count"] + return hint + if problem_type == "assignment": + tasks = _count(definition.get("task_ids"), definition.get("task_count")) + resources = _count(definition.get("resource_ids"), definition.get("resource_count")) + return {"tasks": tasks, "resources": resources} + if problem_type == "subset-selection": + candidates = _count(definition.get("candidate_ids"), definition.get("candidate_count")) + return {"candidates": candidates} + return {} + + class ExperimentStore: """Append-only experiment records backed by local SQLite.""" @@ -159,6 +189,129 @@ def list_runs(self, limit: int = 20) -> list[dict[str, Any]]: ).fetchall() return [dict(row) for row in rows] + def query_runs( + self, + *, + problem_type: str | None = None, + solver_name: str | None = None, + backend_name: str | None = None, + status: str | None = None, + problem_id: str | None = None, + run_ids: set[str] | frozenset[str] | None = None, + limit: int = 50, + offset: int = 0, + ) -> tuple[list[dict[str, Any]], int]: + """Filtered, paginated run listing. Returns (rows, total_matching). + + Read-only; used by presentation layers. When ``run_ids`` is provided, + results are restricted to that membership set (SQL ``IN`` over bound + parameters, never interpolated into the statement text). + """ + if limit < 1 or limit > 1000: + raise ValidationError("Run list limit must be between 1 and 1000") + if offset < 0: + raise ValidationError("Run list offset must be non-negative") + clauses: list[str] = [] + params: list[Any] = [] + if problem_type is not None: + clauses.append("problem_type = ?") + params.append(problem_type) + if solver_name is not None: + clauses.append("solver_name = ?") + params.append(solver_name) + if backend_name is not None: + clauses.append("backend_name = ?") + params.append(backend_name) + if status is not None: + clauses.append("status = ?") + params.append(status) + if problem_id is not None: + clauses.append("problem_id = ?") + params.append(problem_id) + if run_ids is not None: + if not run_ids: + return [], 0 + placeholders = ", ".join("?" for _ in run_ids) + clauses.append(f"run_id IN ({placeholders})") + params.extend(sorted(run_ids)) + where = f" WHERE {' AND '.join(clauses)}" if clauses else "" + with self._connection() as connection: + total = int( + connection.execute(f"SELECT COUNT(*) FROM runs{where}", params).fetchone()[0] + ) + rows = connection.execute( + f""" + SELECT run_id, benchmark_id, created_at, problem_id, problem_type, + solver_name, status, objective, feasible, wall_time_seconds, + backend_type, backend_name, seed + FROM runs{where} + ORDER BY created_at DESC, rowid DESC LIMIT ? OFFSET ? + """, + (*params, limit, offset), + ).fetchall() + return [dict(row) for row in rows], total + + def problem_run_count(self, run_ids: list[str] | tuple[str, ...]) -> dict[str, int]: + """Count runs per problem_id for a set of run IDs (e.g. campaign members).""" + if not run_ids: + return {} + placeholders = ", ".join("?" for _ in run_ids) + with self._connection() as connection: + rows = connection.execute( + f"SELECT problem_id, COUNT(*) AS n FROM runs " + f"WHERE run_id IN ({placeholders}) GROUP BY problem_id", + tuple(run_ids), + ).fetchall() + return {row["problem_id"]: int(row["n"]) for row in rows} + + def iter_problem_summaries(self) -> list[dict[str, Any]]: + """List all problems stored with runs, with size metadata extracted.""" + with self._connection() as connection: + rows = connection.execute( + """ + SELECT p.problem_id, p.problem_type, p.definition_json, p.created_at, + COUNT(r.run_id) AS run_count + FROM problems p LEFT JOIN runs r ON r.problem_id = p.problem_id + GROUP BY p.problem_id + ORDER BY p.created_at DESC + """ + ).fetchall() + results: list[dict[str, Any]] = [] + for row in rows: + definition = json.loads(row["definition_json"]) + summary: dict[str, Any] = { + "problem_id": row["problem_id"], + "problem_type": row["problem_type"], + "family": definition.get("family", row["problem_type"]), + "sense": definition.get("sense"), + "created_at": row["created_at"], + "run_count": int(row["run_count"]), + "size": _problem_size_hint(row["problem_type"], definition), + } + results.append(summary) + return results + + def iter_problem_run_summaries(self, problem_id: str) -> list[dict[str, Any]]: + with self._connection() as connection: + rows = connection.execute( + """ + SELECT run_id, solver_name, status, objective, feasible, + wall_time_seconds, backend_name, created_at + FROM runs WHERE problem_id = ? ORDER BY created_at DESC + """, + (problem_id,), + ).fetchall() + return [dict(row) for row in rows] + + def get_problem_definition(self, problem_id: str) -> dict[str, Any]: + with self._connection() as connection: + row = connection.execute( + "SELECT definition_json FROM problems WHERE problem_id = ?", (problem_id,) + ).fetchone() + if row is None: + raise ValidationError(f"Problem not found: {problem_id}") + return json.loads(row["definition_json"]) + def exact_objective(self, problem_id: str) -> float | None: with self._connection() as connection: row = connection.execute( diff --git a/src/variaq/services.py b/src/variaq/services.py new file mode 100644 index 0000000..3cb8b4d --- /dev/null +++ b/src/variaq/services.py @@ -0,0 +1,497 @@ +"""Shared application services for VariaQ integrations (web UI, CLI, future). + +This module is the single orchestration boundary between presentation layers +and the authoritative VariaQ subsystems. It performs **no scientific +computation**: problems, solvers, campaigns, analysis, and reporting remain the +source of truth. All functions return plain JSON-safe dictionaries derived from +VariaQ's own serialized domain models. + +Both stores use short-lived connections per call, so a long-lived service +instance is safe to share across web worker threads while a campaign writes. +""" + +from __future__ import annotations + +import json +from pathlib import Path +from typing import Any + +from variaq import __version__ +from variaq.analysis.models import AnalysisQuery +from variaq.analysis.operations import analyze_runs +from variaq.analysis.reports import export_report, generate_report +from variaq.campaigns.model import DEFAULT_MAX_RUNS, ExperimentCampaign +from variaq.campaigns.plan import CampaignPlan +from variaq.campaigns.runner import CampaignRunner +from variaq.campaigns.store import CampaignStore +from variaq.capabilities import gather_capabilities +from variaq.errors import ValidationError +from variaq.experiments.runner import ExperimentRunner +from variaq.experiments.storage import ExperimentStore +from variaq.problems.base import load_problem + +MAX_LIMIT = 1000 + + +def _check_limit_offset(limit: int, offset: int) -> None: + if not isinstance(limit, int) or isinstance(limit, bool) or limit < 1 or limit > MAX_LIMIT: + raise ValidationError(f"limit must be an integer between 1 and {MAX_LIMIT}") + if not isinstance(offset, int) or isinstance(offset, bool) or offset < 0: + raise ValidationError("offset must be a non-negative integer") + + +class VariaQService: + """Application facade over ExperimentStore, CampaignStore, and runners. + + The service never opens long-lived SQLite connections; every method goes + through the stores' per-call connection context managers. + """ + + def __init__( + self, + db_path: Path | str, + problems_dir: Path | str, + reports_dir: Path | str, + ) -> None: + self.db_path = Path(db_path) + self.problems_dir = Path(problems_dir) + self.reports_dir = Path(reports_dir) + self.store = ExperimentStore(self.db_path) + self.campaign_store = CampaignStore(self.db_path) + + # -- capabilities / overview ------------------------------------------------- + + def capabilities(self) -> dict[str, Any]: + return gather_capabilities() + + def overview(self) -> dict[str, Any]: + """Dashboard aggregate: counts, recents, availability. No heavy scans.""" + caps = gather_capabilities() + solvers = {s["name"]: s for s in caps["solvers"]} + _, run_count = self.store.query_runs(limit=1, offset=0) + return { + "variaq_version": __version__, + "database_name": self.db_path.name, + "counts": { + "problems": len(self.list_problems(limit=MAX_LIMIT)["problems"]), + "runs": run_count, + "campaigns": self.campaign_store.count(), + "reports": len(self.list_reports()["reports"]), + }, + "recent_runs": self.list_runs(limit=5)["runs"], + "recent_campaigns": self.campaign_store.list_campaigns(limit=5), + "solver_availability": { + name: {"available": s["available"], "installed": s["installed"]} + for name, s in solvers.items() + }, + "cudaq": next( + (f for f in caps["frameworks"] if f["name"] == "cudaq"), + {"installed": False, "targets": {}}, + ), + "physical_qpu": caps["physical_qpu"], + } + + # -- problems ---------------------------------------------------------------- + + def list_problems( + self, + *, + family: str | None = None, + search: str | None = None, + limit: int = 200, + offset: int = 0, + ) -> dict[str, Any]: + _check_limit_offset(limit, offset) + metas: list[dict[str, Any]] = [] + for meta in self.store.iter_problem_summaries(): + if family is not None and meta["problem_type"] != family: + continue + if search: + needle = search.lower() + hay = f"{meta['problem_id']}" + if needle not in hay.lower(): + continue + metas.append(meta) + metas.sort(key=lambda m: m["created_at"], reverse=True) + return { + "total": len(metas), + "limit": limit, + "offset": offset, + "problems": metas[offset : offset + limit], + } + + def get_problem(self, problem_id: str) -> dict[str, Any]: + definition = self.store.get_problem_definition(problem_id) + meta = next( + (m for m in self.store.iter_problem_summaries() if m["problem_id"] == problem_id), + {"problem_id": problem_id, "problem_type": definition.get("problem_type")}, + ) + runs = self.list_runs(problem_id=problem_id, limit=50) + campaigns = self.campaign_store.campaigns_for_problem(problem_id) + exact = self.store.exact_objective(problem_id) + return { + "metadata": meta, + "definition": definition, + "family": definition.get("family", meta.get("problem_type")), + "sense": definition.get("sense"), + "exact_objective": exact, + "runs": runs, + "campaigns": campaigns, + } + + def get_problem_file(self, problem_id: str) -> dict[str, Any]: + """Load the canonical problem artifact from the problems dir if present.""" + candidate = self.problems_dir / f"{problem_id}.json" + if not candidate.exists(): + raise ValidationError( + f"No saved problem file for {problem_id!r} in {self.problems_dir.name}" + ) + problem = load_problem(candidate) + data = problem.to_dict() + data["variable_count"] = problem.variable_count + return data + + # -- runs ---------------------------------------------------------------------- + + def list_runs( + self, + *, + family: str | None = None, + solver: str | None = None, + backend: str | None = None, + status: str | None = None, + campaign_id: str | None = None, + problem_id: str | None = None, + limit: int = 50, + offset: int = 0, + ) -> dict[str, Any]: + _check_limit_offset(limit, offset) + if status is not None and status not in {"success", "failed", "unavailable"}: + raise ValidationError(f"Invalid status filter: {status!r}") + campaign_members: set[str] | None = None + if campaign_id is not None: + # Validates the campaign exists. + self.campaign_store.get_campaign(campaign_id) + campaign_members = set(self.campaign_store.get_run_ids(campaign_id)) + rows, total = self.store.query_runs( + problem_type=family, + solver_name=solver, + backend_name=backend, + status=status, + problem_id=problem_id, + run_ids=campaign_members, + limit=limit, + offset=offset, + ) + for row in rows: + row["in_campaign"] = bool( + campaign_members is not None and row["run_id"] in campaign_members + ) + return {"total": total, "limit": limit, "offset": offset, "runs": rows} + + def get_run(self, run_id: str) -> dict[str, Any]: + run = self.store.get(run_id) + campaigns = self.campaign_store.campaigns_for_run(run_id) + data = run.to_dict() + data["campaigns"] = campaigns + data["rerun_of"] = run.rerun_of + return data + + # -- campaigns ----------------------------------------------------------------- + + def list_campaigns(self, *, limit: int = 100, offset: int = 0) -> dict[str, Any]: + _check_limit_offset(limit, offset) + # CampaignStore.list_campaigns is newest-first and limit-bounded; we + # paginate by fetching a larger window when an offset is requested. + rows = self.campaign_store.list_campaigns(limit=MAX_LIMIT) + decorated = [] + for row in rows: + member_rows = self.campaign_store.get_runs_with_status(row["campaign_id"]) + statuses: dict[str, int] = {} + for member in member_rows: + statuses[member["status"]] = statuses.get(member["status"], 0) + 1 + definition = self.campaign_store.get_campaign(row["campaign_id"]) + decorated.append( + { + **row, + "requested_runs": definition.requested_runs, + "completed_runs": len(member_rows), + "status_counts": statuses, + } + ) + return { + "total": len(decorated), + "limit": limit, + "offset": offset, + "campaigns": decorated[offset : offset + limit], + } + + def get_campaign(self, campaign_id: str) -> dict[str, Any]: + campaign = self.campaign_store.get_campaign(campaign_id) + members = self.campaign_store.get_runs_with_status(campaign_id) + statuses: dict[str, int] = {} + solvers: dict[str, int] = {} + for member in members: + statuses[member["status"]] = statuses.get(member["status"], 0) + 1 + solvers[member["solver_name"]] = solvers.get(member["solver_name"], 0) + 1 + return { + "definition": campaign.to_dict(), + "campaign_id": campaign_id, + "requested_runs": campaign.requested_runs, + "completed_runs": len(members), + "status_counts": statuses, + "solver_breakdown": solvers, + "runs": members, + } + + def plan_campaign(self, definition: dict[str, Any]) -> dict[str, Any]: + campaign = ExperimentCampaign.from_dict(definition) + plan = CampaignPlan(campaign).build() + plan["definition"] = campaign.to_dict() + return plan + + def run_campaign( + self, + definition: dict[str, Any], + *, + override_max_runs: bool = False, + max_runs: int = DEFAULT_MAX_RUNS, + on_run_recorded: Any | None = None, + should_abort: Any | None = None, + ) -> dict[str, Any]: + """Execute a campaign. Must be called from a worker thread by the web app.""" + campaign = ExperimentCampaign.from_dict(definition) + runner = ExperimentRunner(self.store) + campaign_runner = CampaignRunner( + runner, + self.campaign_store, + self.problems_dir, + max_runs=max_runs, + ) + return campaign_runner.run( + campaign, + override_max_runs=override_max_runs, + on_run_recorded=on_run_recorded, + should_abort=should_abort, + ) + + # -- analysis ------------------------------------------------------------------ + + def analyze( + self, + *, + campaign_id: str | None = None, + run_ids: list[str] | None = None, + filters: dict[str, Any] | None = None, + group_by: list[str] | None = None, + scaling_x: str = "problem_size", + include_failed: bool = False, + include_unavailable: bool = False, + comparisons: list[str] | None = None, + ) -> dict[str, Any]: + if campaign_id is not None: + selected = self.campaign_store.get_run_ids(campaign_id) + elif run_ids: + selected = list(run_ids) + else: + raise ValidationError("Analysis requires a campaign_id or a non-empty run_ids list") + if not selected: + raise ValidationError("No runs selected for analysis") + runs = [self.store.get(rid) for rid in selected] + query = AnalysisQuery( + campaign_id=campaign_id, + run_ids=tuple(selected), + filters=dict(filters or {}), + group_by=tuple(group_by or ()), + include_failed=include_failed, + include_unavailable=include_unavailable, + ) + result = analyze_runs( + runs, + query, + scaling_x_metric=scaling_x, + comparisons=tuple(comparisons or ()), + ) + return result.to_dict() + + # -- reports ------------------------------------------------------------------- + + def list_reports(self) -> dict[str, Any]: + """Enumerate report metadata from JSON artifacts in the reports root.""" + reports: list[dict[str, Any]] = [] + root = self.reports_dir + if root.exists(): + for path in sorted(root.rglob("*.json")): + report = self._read_report_meta(path, root) + if report is not None: + reports.append(report) + reports.sort(key=lambda r: (r.get("generated_at") or "", r["report_id"]), reverse=True) + return {"total": len(reports), "reports": reports} + + def _read_report_meta(self, path: Path, root: Path) -> dict[str, Any] | None: + if not self._is_within_root(path, root): + return None + try: + data = json.loads(path.read_text(encoding="utf-8")) + except (OSError, json.JSONDecodeError, UnicodeDecodeError): + return None + if not isinstance(data, dict) or "report_id" not in data: + return None + rid = str(data["report_id"]) + files = self._report_files(rid, path.parent, root) + warnings: list[str] = [] + if data.get("analysis", {}).get("warnings"): + warnings = [str(w) for w in data["analysis"]["warnings"]] + return { + "report_id": rid, + "campaign_id": data.get("campaign_id"), + "generated_at": data.get("generated_at"), + "variaq_version": data.get("variaq_version"), + "report_format_version": data.get("report_format_version"), + "source_run_count": len(data.get("source_run_ids", []) or []), + "formats": sorted({f["format"] for f in files}), + "files": files, + "warnings": warnings, + "directory": str(path.parent.relative_to(root)), + } + + def _report_files(self, report_id: str, directory: Path, root: Path) -> list[dict[str, Any]]: + files: list[dict[str, Any]] = [] + if not directory.is_dir() or not self._is_within_root(directory, root): + return files + for path in sorted(directory.iterdir()): + fmt = self._report_file_format(report_id, path.name) + if not path.is_file() or fmt is None or not self._is_within_root(path, root): + continue + files.append( + { + "name": path.name, + "format": fmt, + "size": path.stat().st_size, + "path": str(path.relative_to(root)), + } + ) + return files + + @staticmethod + def _report_file_format(report_id: str, name: str) -> str | None: + """Return the format for an artifact filename VariaQ itself can emit.""" + suffixes = { + ".json": "json", + ".md": "markdown", + "_groups.csv": "csv", + "_scaling.csv": "csv", + "_scaling.png": "plot", + } + for suffix, report_format in suffixes.items(): + if name == f"{report_id}{suffix}": + return report_format + return None + + @staticmethod + def _is_within_root(path: Path, root: Path) -> bool: + """Reject paths (including symlinks) whose resolved target leaves root.""" + try: + resolved = path.resolve() + root_resolved = root.resolve() + except OSError: + return False + return resolved == root_resolved or root_resolved in resolved.parents + + def get_report(self, report_id: str) -> dict[str, Any]: + path, root = self.find_report_source(report_id) + data = json.loads(path.read_text(encoding="utf-8")) + files = self._report_files(str(data["report_id"]), path.parent, root) + return { + "report": data, + "files": files, + "directory": str(path.parent.relative_to(root)), + } + + def find_report_source(self, report_id: str) -> tuple[Path, Path]: + """Locate the canonical JSON for a report ID, rejecting malformed IDs.""" + if not report_id or "/" in report_id or "\\" in report_id or ".." in report_id: + raise ValidationError(f"Invalid report id: {report_id!r}") + root = self.reports_dir + if root.exists(): + for path in sorted(root.rglob("*.json")): + if not self._is_within_root(path, root): + continue + try: + data = json.loads(path.read_text(encoding="utf-8")) + except (OSError, json.JSONDecodeError, UnicodeDecodeError): + continue + if isinstance(data, dict) and data.get("report_id") == report_id: + return path, root + raise ValidationError(f"Report not found: {report_id}") + + def get_report_file_path(self, report_id: str, filename: str) -> Path: + """Resolve a report-owned file within the reports root (traversal-safe).""" + source, root = self.find_report_source(report_id) + directory = source.parent + if not filename or "/" in filename or "\\" in filename: + raise ValidationError(f"Invalid report filename: {filename!r}") + if self._report_file_format(str(report_id), filename) is None: + raise ValidationError("Requested file is not a known VariaQ report artifact") + target = (directory / filename).resolve() + if not self._is_within_root(target, root): + raise ValidationError("Requested file escapes the report directory") + if not target.exists() or not target.is_file(): + raise ValidationError(f"Report file not found: {filename}") + return target + + def create_report( + self, + campaign_id: str, + *, + formats: list[str] | None = None, + group_by: list[str] | None = None, + scaling_x: str = "problem_size", + comparisons: list[str] | None = None, + plots: bool = False, + overwrite: bool = False, + output_subdir: str = "", + ) -> dict[str, Any]: + run_ids = self.campaign_store.get_run_ids(campaign_id) + if not run_ids: + raise ValidationError(f"Campaign {campaign_id!r} has no runs") + runs = [self.store.get(rid) for rid in run_ids] + query = AnalysisQuery( + campaign_id=campaign_id, + run_ids=tuple(run_ids), + group_by=tuple(group_by or ("problem_id", "solver")), + include_failed=True, + ) + analysis = analyze_runs( + runs, + query, + scaling_x_metric=scaling_x, + comparisons=tuple(comparisons or ()), + ) + report = generate_report(analysis, campaign_id=campaign_id) + selected = tuple(formats) if formats else ("json", "csv", "markdown") + allowed = {"json", "csv", "markdown"} + unknown = set(selected) - allowed + if unknown: + raise ValidationError(f"Unknown report formats: {sorted(unknown)}") + if plots: + selected = (*selected, "plots") + target = self.reports_dir + if output_subdir: + if output_subdir.startswith(("/", "\\")) or ".." in Path(output_subdir).parts: + raise ValidationError(f"Invalid report output subdirectory: {output_subdir!r}") + target = (self.reports_dir / output_subdir).resolve() + root = self.reports_dir.resolve() + if root != target and root not in target.parents: + raise ValidationError("Report output directory escapes the reports root") + warnings: list[str] = [] + try: + paths = export_report(report, target, formats=selected, overwrite=overwrite) + except ImportError as exc: + # Plots requested without matplotlib: export the core formats. + core = tuple(f for f in selected if f not in {"plots", "plot"}) + if not core: + raise ValidationError(f"Plotting unavailable: {exc}") from exc + paths = export_report(report, target, formats=core, overwrite=overwrite) + warnings.append(f"Plotting skipped: {exc}") + return {"report_id": report.report_id, "paths": paths, "warnings": warnings} diff --git a/src/variaq/web/__init__.py b/src/variaq/web/__init__.py new file mode 100644 index 0000000..14af43d --- /dev/null +++ b/src/variaq/web/__init__.py @@ -0,0 +1,11 @@ +"""VariaQ optional local web UI (``pip install 'variaq[web]'``).""" + + +def web_dependencies_available() -> bool: + try: + import fastapi # noqa: F401 + import jinja2 # noqa: F401 + import uvicorn # noqa: F401 + except ImportError: + return False + return True diff --git a/src/variaq/web/app.py b/src/variaq/web/app.py new file mode 100644 index 0000000..694b503 --- /dev/null +++ b/src/variaq/web/app.py @@ -0,0 +1,346 @@ +"""VariaQ local web UI: FastAPI application factory. + +Local-first, research-tool interface over :class:`VariaQService`. The browser +never queries SQLite and never computes scientific results; everything below +returns VariaQ's own serialized domain objects. + +Security model: loopback-only by default (see ``variaq.web.server``), no shell, +no raw SQL, no arbitrary file reads. Report downloads are restricted to files +registered to a known report artifact inside the configured reports root. +""" + +from __future__ import annotations + +import logging +from pathlib import Path +from typing import Any + +from fastapi import FastAPI, HTTPException, Request +from fastapi.responses import FileResponse, JSONResponse +from fastapi.staticfiles import StaticFiles +from fastapi.templating import Jinja2Templates +from pydantic import ValidationError as PydanticValidationError + +from variaq.errors import SolverLimitError, ValidationError, VariaQError +from variaq.services import VariaQService +from variaq.web.schemas import ( + AnalysisRequest, + CampaignPlanRequest, + CampaignRunRequest, + ReportRequest, +) +from variaq.web.tasks import CampaignTaskManager + +log = logging.getLogger("variaq.web") + +PACKAGE_DIR = Path(__file__).parent +TEMPLATE_DIR = PACKAGE_DIR / "templates" +STATIC_DIR = PACKAGE_DIR / "static" + +API_PREFIX = "/api/v1" + + +def create_app( + service: VariaQService, + *, + task_manager: CampaignTaskManager | None = None, +) -> FastAPI: + app = FastAPI( + title="VariaQ", + version="1", + docs_url=None, + redoc_url=None, + openapi_url=None, + ) + app.state.service = service + tasks = task_manager or CampaignTaskManager() + app.state.tasks = tasks + + templates = Jinja2Templates(directory=str(TEMPLATE_DIR)) + app.state.templates = templates + if STATIC_DIR.exists(): + app.mount("/static", StaticFiles(directory=str(STATIC_DIR)), name="static") + + # -- error mapping --------------------------------------------------------- + + @app.exception_handler(ValidationError) + async def variaq_validation_error(_request: Request, exc: ValidationError) -> JSONResponse: + message = str(exc) + status = 400 + if message.startswith( + ( + "Run not found", + "Problem not found", + "Campaign not found", + "Report not found", + "Report file not found", + "No saved problem file", + ) + ): + status = 404 + elif message.startswith(("Campaign requests", "Requested file")): + status = 403 if message.startswith("Requested file") else 400 + return JSONResponse( + status_code=status, + content={"error": {"type": "ValidationError", "message": message}}, + ) + + @app.exception_handler(SolverLimitError) + async def solver_limit_error(_request: Request, exc: SolverLimitError) -> JSONResponse: + return JSONResponse( + status_code=400, + content={"error": {"type": "SolverLimitError", "message": str(exc)}}, + ) + + @app.exception_handler(PydanticValidationError) + async def schema_error(_request: Request, exc: PydanticValidationError) -> JSONResponse: + return JSONResponse( + status_code=422, + content={ + "error": { + "type": "SchemaError", + "message": "Request body failed validation", + "details": exc.errors(include_url=False), + } + }, + ) + + @app.exception_handler(VariaQError) + async def variaq_error(_request: Request, exc: VariaQError) -> JSONResponse: + log.exception("VariaQ error handling %s", _request.url.path) + return JSONResponse( + status_code=400, + content={"error": {"type": type(exc).__name__, "message": str(exc)}}, + ) + + @app.exception_handler(Exception) + async def unhandled_error(_request: Request, exc: Exception) -> JSONResponse: + # Internal details are logged locally, never echoed to the client. + log.exception("Unhandled error handling %s", _request.url.path) + return JSONResponse( + status_code=500, + content={"error": {"type": "InternalError", "message": "Internal server error"}}, + ) + + def svc() -> VariaQService: + return app.state.service + + # -- API: capabilities / overview ------------------------------------------- + + @app.get(f"{API_PREFIX}/capabilities") + def api_capabilities() -> dict[str, Any]: + return svc().capabilities() + + @app.get(f"{API_PREFIX}/overview") + def api_overview() -> dict[str, Any]: + return svc().overview() + + @app.get(f"{API_PREFIX}/health") + def api_health() -> dict[str, str]: + return {"status": "ok"} + + # -- API: problems ------------------------------------------------------------- + + @app.get(f"{API_PREFIX}/problems") + def api_problems( + family: str | None = None, + search: str | None = None, + limit: int = 200, + offset: int = 0, + ) -> dict[str, Any]: + return svc().list_problems(family=family, search=search, limit=limit, offset=offset) + + @app.get(f"{API_PREFIX}/problems/{{problem_id}}") + def api_problem(problem_id: str) -> dict[str, Any]: + return svc().get_problem(problem_id) + + @app.get(f"{API_PREFIX}/problems/{{problem_id}}/file") + def api_problem_file(problem_id: str) -> dict[str, Any]: + return svc().get_problem_file(problem_id) + + # -- API: runs ----------------------------------------------------------------- + + @app.get(f"{API_PREFIX}/runs") + def api_runs( + family: str | None = None, + solver: str | None = None, + backend: str | None = None, + status: str | None = None, + campaign_id: str | None = None, + problem_id: str | None = None, + limit: int = 50, + offset: int = 0, + ) -> dict[str, Any]: + return svc().list_runs( + family=family, + solver=solver, + backend=backend, + status=status, + campaign_id=campaign_id, + problem_id=problem_id, + limit=limit, + offset=offset, + ) + + @app.get(f"{API_PREFIX}/runs/{{run_id}}") + def api_run(run_id: str) -> dict[str, Any]: + return svc().get_run(run_id) + + # -- API: campaigns ------------------------------------------------------------ + + @app.get(f"{API_PREFIX}/campaigns") + def api_campaigns(limit: int = 100, offset: int = 0) -> dict[str, Any]: + return svc().list_campaigns(limit=limit, offset=offset) + + @app.get(f"{API_PREFIX}/campaigns/tasks/current") + def api_campaign_task_current(request: Request) -> dict[str, Any]: + task = request.app.state.tasks.current() + return {"task": task.to_dict() if task else None} + + @app.get(f"{API_PREFIX}/campaigns/tasks/{{task_id}}") + def api_campaign_task(task_id: str, request: Request) -> dict[str, Any]: + task = request.app.state.tasks.get(task_id) + if task is None: + raise HTTPException( + status_code=404, + detail={"type": "TaskNotFound", "message": f"No such task: {task_id}"}, + ) + return {"task": task.to_dict()} + + @app.get(f"{API_PREFIX}/campaigns/{{campaign_id}}") + def api_campaign(campaign_id: str) -> dict[str, Any]: + return svc().get_campaign(campaign_id) + + @app.post(f"{API_PREFIX}/campaigns/plan") + def api_campaign_plan(payload: CampaignPlanRequest) -> dict[str, Any]: + return svc().plan_campaign(payload.definition.to_definition()) + + @app.post(f"{API_PREFIX}/campaigns/run") + def api_campaign_run(payload: CampaignRunRequest, request: Request) -> dict[str, Any]: + definition = payload.definition.to_definition() + plan = svc().plan_campaign(definition) + task = request.app.state.tasks.start( + svc(), + definition, + override_max_runs=payload.override_max_runs, + max_runs=payload.max_runs, + planned_runs=plan.get("requested_runs"), + ) + if task is None: + raise HTTPException( + status_code=409, + detail={ + "type": "CampaignInProgress", + "message": "A campaign is already running in this server process.", + }, + ) + return {"task": task.to_dict(), "plan": plan} + + # -- API: analysis ------------------------------------------------------------- + + @app.post(f"{API_PREFIX}/analysis/runs") + def api_analysis_runs(payload: AnalysisRequest) -> dict[str, Any]: + return svc().analyze( + campaign_id=payload.campaign_id, + run_ids=payload.run_ids, + filters=payload.filters, + group_by=payload.group_by, + scaling_x=payload.scaling_x, + include_failed=payload.include_failed, + include_unavailable=payload.include_unavailable, + comparisons=payload.comparisons, + ) + + @app.post(f"{API_PREFIX}/analysis/campaigns/{{campaign_id}}") + def api_analysis_campaign(campaign_id: str, payload: AnalysisRequest) -> dict[str, Any]: + return svc().analyze( + campaign_id=campaign_id, + filters=payload.filters, + group_by=payload.group_by, + scaling_x=payload.scaling_x, + include_failed=payload.include_failed, + include_unavailable=payload.include_unavailable, + comparisons=payload.comparisons, + ) + + # -- API: reports -------------------------------------------------------------- + + @app.get(f"{API_PREFIX}/reports") + def api_reports() -> dict[str, Any]: + return svc().list_reports() + + @app.get(f"{API_PREFIX}/reports/{{report_id}}") + def api_report(report_id: str) -> dict[str, Any]: + return svc().get_report(report_id) + + @app.post(f"{API_PREFIX}/reports/campaigns/{{campaign_id}}") + def api_report_create(campaign_id: str, payload: ReportRequest) -> dict[str, Any]: + return svc().create_report( + campaign_id, + formats=list(payload.formats) if payload.formats else None, + group_by=payload.group_by, + scaling_x=payload.scaling_x, + comparisons=payload.comparisons, + plots=payload.plots, + overwrite=payload.overwrite, + ) + + @app.get(f"{API_PREFIX}/reports/{{report_id}}/files/{{filename}}") + def api_report_file(report_id: str, filename: str) -> FileResponse: + path = svc().get_report_file_path(report_id, filename) + return FileResponse(path) + + # -- HTML pages ---------------------------------------------------------------- + + def page(request: Request, name: str, **context: Any) -> Any: + return templates.TemplateResponse( + request, + name, + {"api_prefix": API_PREFIX, "active_page": name.split(".")[0], **context}, + ) + + @app.get("/", include_in_schema=False) + def dashboard(request: Request) -> Any: + return page(request, "dashboard.html") + + @app.get("/problems", include_in_schema=False) + def problems(request: Request) -> Any: + return page(request, "problems.html") + + @app.get("/problems/{problem_id}", include_in_schema=False) + def problem_detail(request: Request, problem_id: str) -> Any: + return page(request, "problem_detail.html", problem_id=problem_id) + + @app.get("/runs", include_in_schema=False) + def runs(request: Request) -> Any: + return page(request, "runs.html") + + @app.get("/runs/{run_id}", include_in_schema=False) + def run_detail(request: Request, run_id: str) -> Any: + return page(request, "run_detail.html", run_id=run_id) + + @app.get("/campaigns", include_in_schema=False) + def campaigns(request: Request) -> Any: + return page(request, "campaigns.html") + + @app.get("/campaigns/new", include_in_schema=False) + def campaign_new(request: Request) -> Any: + return page(request, "campaign_new.html") + + @app.get("/campaigns/{campaign_id}", include_in_schema=False) + def campaign_detail(request: Request, campaign_id: str) -> Any: + return page(request, "campaign_detail.html", campaign_id=campaign_id) + + @app.get("/reports", include_in_schema=False) + def reports(request: Request) -> Any: + return page(request, "reports.html") + + @app.get("/reports/{report_id}", include_in_schema=False) + def report_detail(request: Request, report_id: str) -> Any: + return page(request, "report_detail.html", report_id=report_id) + + @app.get("/capabilities", include_in_schema=False) + def capabilities(request: Request) -> Any: + return page(request, "capabilities.html") + + return app diff --git a/src/variaq/web/config.py b/src/variaq/web/config.py new file mode 100644 index 0000000..abe4fb9 --- /dev/null +++ b/src/variaq/web/config.py @@ -0,0 +1,52 @@ +"""Configuration for the VariaQ local web server.""" + +from __future__ import annotations + +import ipaddress +from dataclasses import dataclass +from pathlib import Path + +#: Loopback-only is the security default for the local-first 0.7 UI. This value +#: is covered by a regression test; do not change it to a public bind address. +DEFAULT_HOST = "127.0.0.1" +DEFAULT_PORT = 8701 +DEFAULT_REPORTS_DIR = Path("data/reports") + + +def is_loopback_host(host: str) -> bool: + """True when a host string refers to this machine only.""" + value = host.strip().lower() + if value in {"localhost", "localhost.localdomain"}: + return True + try: + return ipaddress.ip_address(value).is_loopback + except ValueError: + pass + # IPv6 textual forms with brackets, e.g. "[::1]" + try: + return ipaddress.ip_address(value.strip("[]")).is_loopback + except ValueError: + return False + + +@dataclass(frozen=True, slots=True) +class WebConfig: + host: str = DEFAULT_HOST + port: int = DEFAULT_PORT + db_path: Path = Path("data/variaq.sqlite3") + problems_dir: Path = Path("data/problems") + reports_dir: Path = DEFAULT_REPORTS_DIR + + @property + def bind_is_loopback(self) -> bool: + return is_loopback_host(self.host) + + def remote_bind_warning(self) -> str | None: + if self.bind_is_loopback: + return None + return ( + f"WARNING: VariaQ web UI is binding to non-loopback address {self.host}. " + "This interface provides no hardened authentication/authorization and is " + "intended for the local machine or a trusted lab network only. Do NOT " + "expose it to the public internet." + ) diff --git a/src/variaq/web/schemas.py b/src/variaq/web/schemas.py new file mode 100644 index 0000000..ebc3857 --- /dev/null +++ b/src/variaq/web/schemas.py @@ -0,0 +1,110 @@ +"""Bounded request/response schemas for the VariaQ local web API. + +Write endpoints accept only these validated shapes — no raw arbitrary JSON +reaches the campaign or analysis layers without passing through the same +``ExperimentCampaign`` / ``AnalysisQuery`` validation the CLI uses. +""" + +from __future__ import annotations + +from typing import Any, Literal + +from pydantic import BaseModel, ConfigDict, Field, field_validator + +from variaq.campaigns.model import CAMPAIGN_FORMAT_VERSION, DEFAULT_MAX_RUNS + +ALLOWED_COMPARISONS = {"classical_vs_quantum", "qiskit_vs_cudaq", "gpu_vs_cpu"} + + +class CampaignDefinitionIn(BaseModel): + """A campaign definition submitted by the UI planning form.""" + + model_config = ConfigDict(extra="forbid") + + name: str = Field(min_length=1, max_length=200) + family: str = Field(min_length=1, max_length=64) + problem_sizes: list[int] = Field(min_length=1, max_length=50) + problem_seeds: list[int] = Field(min_length=1, max_length=50) + solvers: list[str] = Field(min_length=1, max_length=20) + repeats: int = Field(default=1, ge=1, le=100) + base_seed: int = Field(default=0) + generator_parameters: dict[str, Any] = Field(default_factory=dict) + tags: list[str] = Field(default_factory=list, max_length=20) + notes: str = Field(default="", max_length=4000) + campaign_format_version: str = CAMPAIGN_FORMAT_VERSION + + @field_validator("problem_sizes") + @classmethod + def sizes_positive(cls, value: list[int]) -> list[int]: + if any(v < 1 for v in value): + raise ValueError("problem_sizes must be positive integers") + return value + + def to_definition(self) -> dict[str, Any]: + return { + "campaign_format_version": CAMPAIGN_FORMAT_VERSION, + "name": self.name, + "family": self.family, + "problem_sizes": list(self.problem_sizes), + "problem_seeds": list(self.problem_seeds), + "solvers": list(self.solvers), + "repeats": self.repeats, + "base_seed": self.base_seed, + "generator_parameters": dict(self.generator_parameters), + "tags": list(self.tags), + "notes": self.notes, + } + + +class CampaignPlanRequest(BaseModel): + model_config = ConfigDict(extra="forbid") + + definition: CampaignDefinitionIn + + +class CampaignRunRequest(BaseModel): + model_config = ConfigDict(extra="forbid") + + definition: CampaignDefinitionIn + override_max_runs: bool = False + max_runs: int = Field(default=DEFAULT_MAX_RUNS, ge=1, le=100000) + + +class AnalysisRequest(BaseModel): + model_config = ConfigDict(extra="forbid") + + campaign_id: str | None = Field(default=None, max_length=128) + run_ids: list[str] | None = Field(default=None, max_length=5000) + group_by: list[str] = Field(default_factory=list, max_length=8) + filters: dict[str, Any] = Field(default_factory=dict) + scaling_x: str = Field(default="problem_size", max_length=64) + include_failed: bool = False + include_unavailable: bool = False + comparisons: list[str] = Field(default_factory=list, max_length=4) + + @field_validator("comparisons") + @classmethod + def comparisons_known(cls, value: list[str]) -> list[str]: + unknown = set(value) - ALLOWED_COMPARISONS + if unknown: + raise ValueError(f"Unknown comparisons: {sorted(unknown)}") + return value + + +class ReportRequest(BaseModel): + model_config = ConfigDict(extra="forbid") + + formats: list[Literal["json", "csv", "markdown"]] | None = None + group_by: list[str] = Field(default_factory=list, max_length=8) + scaling_x: str = Field(default="problem_size", max_length=64) + comparisons: list[str] = Field(default_factory=list, max_length=4) + plots: bool = False + overwrite: bool = False + + @field_validator("comparisons") + @classmethod + def comparisons_known(cls, value: list[str]) -> list[str]: + unknown = set(value) - ALLOWED_COMPARISONS + if unknown: + raise ValueError(f"Unknown comparisons: {sorted(unknown)}") + return value diff --git a/src/variaq/web/server.py b/src/variaq/web/server.py new file mode 100644 index 0000000..4cbce4d --- /dev/null +++ b/src/variaq/web/server.py @@ -0,0 +1,28 @@ +"""Uvicorn entrypoint glue for ``variaq web``.""" + +from __future__ import annotations + +from variaq.services import VariaQService +from variaq.web.app import create_app +from variaq.web.config import WebConfig + + +def build_app(config: WebConfig): + service = VariaQService( + db_path=config.db_path, + problems_dir=config.problems_dir, + reports_dir=config.reports_dir, + ) + return create_app(service) + + +def serve(config: WebConfig) -> int: + warning = config.remote_bind_warning() + if warning: + print(f"\n{warning}\n") + app = build_app(config) + import uvicorn + + print(f"VariaQ web UI: http://{config.host}:{config.port} (database: {config.db_path.name})") + uvicorn.run(app, host=config.host, port=config.port, log_level="warning") + return 0 diff --git a/src/variaq/web/static/app.css b/src/variaq/web/static/app.css new file mode 100644 index 0000000..d28d024 --- /dev/null +++ b/src/variaq/web/static/app.css @@ -0,0 +1,179 @@ +/* VariaQ local web UI — technical, research-oriented, high-density. */ +:root { + --bg: #f7f7f5; + --surface: #ffffff; + --ink: #1c1d20; + --muted: #5d6168; + --line: #d9dbde; + --accent: #14548c; + --accent-ink: #ffffff; + --ok: #1b6b3a; + --warn: #8c5a00; + --err: #9c1f1f; + --mono: ui-monospace, "SF Mono", "Cascadia Mono", Consolas, monospace; + --radius: 6px; +} +@media (prefers-color-scheme: dark) { + :root { + --bg: #141518; + --surface: #1d1f24; + --ink: #e6e7ea; + --muted: #9aa0a8; + --line: #383b42; + --accent: #6ea8dd; + --accent-ink: #0e1a26; + --ok: #5aa776; + --warn: #d8a13e; + --err: #e07a7a; + } +} +* { box-sizing: border-box; } +html { -webkit-text-size-adjust: 100%; } +body { + margin: 0; + background: var(--bg); + color: var(--ink); + font: 15px/1.5 system-ui, -apple-system, "Segoe UI", Roboto, sans-serif; +} +code, pre, .mono-wrap code { font-family: var(--mono); font-size: 0.92em; } +.mono-wrap code { overflow-wrap: anywhere; } +a { color: var(--accent); text-decoration: none; } +a:hover { text-decoration: underline; } +:focus-visible { outline: 2px solid var(--accent); outline-offset: 2px; border-radius: 2px; } + +.skip-link { + position: absolute; left: -9999px; top: 0; padding: 0.5rem 1rem; + background: var(--accent); color: var(--accent-ink); z-index: 10; +} +.skip-link:focus { left: 0; } + +.topbar { background: var(--surface); border-bottom: 1px solid var(--line); } +.topbar-inner { + max-width: 1200px; margin: 0 auto; padding: 0 1rem; + display: flex; align-items: center; gap: 1.5rem; min-height: 52px; flex-wrap: wrap; +} +.brand { font-weight: 700; font-size: 1.05rem; color: var(--ink); } +.nav { display: flex; gap: 0.25rem; flex-wrap: wrap; } +.nav a { + padding: 0.4rem 0.65rem; border-radius: var(--radius); color: var(--ink); font-size: 0.95rem; +} +.nav a[aria-current="page"] { background: var(--accent); color: var(--accent-ink); } + +.container { max-width: 1200px; margin: 0 auto; padding: 1.25rem 1rem 3rem; } +.page-head { margin-bottom: 1rem; } +.page-head h1 { margin: 0 0 0.15rem; font-size: 1.5rem; } +.page-head-row { display: flex; align-items: flex-start; justify-content: space-between; gap: 1rem; } +.muted { color: var(--muted); } +.footer { + border-top: 1px solid var(--line); color: var(--muted); font-size: 0.85rem; + padding: 1rem; text-align: center; +} + +.panel { + background: var(--surface); border: 1px solid var(--line); border-radius: var(--radius); + padding: 1rem 1.25rem; margin-bottom: 1.25rem; min-width: 0; +} +.panel h2 { margin: 0 0 0.6rem; font-size: 1.1rem; } +.panel h3 { margin: 1rem 0 0.4rem; font-size: 0.98rem; } + +.stat-grid { + display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); + gap: 0.75rem; margin-bottom: 1.25rem; +} +.stat { + background: var(--surface); border: 1px solid var(--line); border-radius: var(--radius); + padding: 0.9rem 1rem; display: flex; flex-direction: column; gap: 0.15rem; +} +.stat-value { font-size: 1.6rem; font-weight: 700; font-variant-numeric: tabular-nums; } +.stat-label { color: var(--muted); font-size: 0.85rem; text-transform: uppercase; letter-spacing: 0.04em; } + +.grid-2col { display: grid; grid-template-columns: 1fr 1fr; gap: 1.25rem; } +@media (max-width: 800px) { .grid-2col { grid-template-columns: 1fr; } } + +.table-wrap { overflow-x: auto; } +.data-table { border-collapse: collapse; width: 100%; min-width: max-content; font-size: 0.9rem; } +.data-table th, .data-table td { + text-align: left; padding: 0.4rem 0.6rem; border-bottom: 1px solid var(--line); + white-space: nowrap; font-variant-numeric: tabular-nums; +} +.data-table th { color: var(--muted); font-weight: 600; font-size: 0.8rem; text-transform: uppercase; letter-spacing: 0.03em; } +.data-table td.wrap-anywhere { white-space: normal; overflow-wrap: anywhere; } +.status-success { color: var(--ok); } +.status-failed { color: var(--err); } +.status-unavailable { color: var(--warn); } + +.kv { display: grid; grid-template-columns: minmax(140px, 240px) 1fr; gap: 0.3rem 1rem; margin: 0; } +.kv dt { color: var(--muted); font-size: 0.88rem; } +.kv dd { margin: 0; overflow-wrap: anywhere; font-variant-numeric: tabular-nums; } +@media (max-width: 560px) { .kv { grid-template-columns: 1fr; } .kv dt { margin-top: 0.4rem; } } + +.filters { + display: flex; flex-wrap: wrap; gap: 0.6rem 1rem; align-items: flex-end; + margin-bottom: 1rem; +} +.filters label, .campaign-form label { display: flex; flex-direction: column; gap: 0.2rem; font-size: 0.85rem; color: var(--muted); } +.filters label.check, .check-row label.check, label.check { flex-direction: row; align-items: center; gap: 0.4rem; color: var(--ink); font-size: 0.92rem; } +input, select, textarea { + font: inherit; color: var(--ink); background: var(--surface); + border: 1px solid var(--line); border-radius: var(--radius); padding: 0.35rem 0.55rem; +} +button, .button { + font: inherit; font-weight: 600; cursor: pointer; + background: var(--surface); color: var(--accent); border: 1px solid var(--accent); + border-radius: var(--radius); padding: 0.4rem 0.9rem; text-decoration: none; display: inline-block; +} +button:hover, .button:hover { text-decoration: none; filter: brightness(0.96); } +button:disabled { opacity: 0.45; cursor: not-allowed; } +.button.primary { background: var(--accent); color: var(--accent-ink); } + +fieldset { + border: 1px solid var(--line); border-radius: var(--radius); + padding: 0.9rem 1.1rem; margin: 0 0 1rem; background: var(--surface); +} +legend { color: var(--muted); font-size: 0.85rem; padding: 0 0.4rem; } +.campaign-form fieldset label { margin-bottom: 0.6rem; } +.check-row { display: flex; flex-wrap: wrap; gap: 0.6rem 1.2rem; } +.actions { display: flex; align-items: center; gap: 1rem; margin-top: 0.4rem; } + +.notice { margin: 0.4rem 0; } +.notice.warn { + border: 1px solid var(--warn); border-radius: var(--radius); + padding: 0.6rem 0.8rem; margin-top: 0.8rem; +} +.notice.error { color: var(--err); } +.empty-state { + background: var(--surface); border: 1px dashed var(--line); border-radius: var(--radius); + padding: 1.25rem; color: var(--muted); +} +.provenance { font-size: 0.85rem; color: var(--muted); } + +.pager { display: flex; align-items: center; gap: 0.8rem; margin-top: 0.7rem; } + +.json-block { + background: var(--bg); border: 1px solid var(--line); border-radius: var(--radius); + padding: 0.75rem; overflow-x: auto; font-size: 0.82rem; max-height: 340px; +} +.link-list { list-style: none; margin: 0; padding: 0; display: flex; flex-direction: column; gap: 0.35rem; } + +.chart-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(min(320px, 100%), 1fr)); gap: 1rem; margin-top: 1rem; align-items: start; } +.chart-box { margin: 0; } +.chart-box figcaption { font-size: 0.85rem; color: var(--muted); margin-bottom: 0.3rem; } +.chart-canvas { position: relative; height: 220px; } +.chart-box canvas { display: block; width: 100% !important; height: 100% !important; } + +/* Chart data tables: visually secondary but always present for accessibility. */ +.sr-data { width: 100%; border-collapse: collapse; font-size: 0.78rem; margin-top: 0.4rem; } +.sr-data th, .sr-data td { padding: 0.15rem 0.4rem; border-bottom: 1px solid var(--line); text-align: left; font-variant-numeric: tabular-nums; } +.sr-data th { color: var(--muted); font-weight: 600; } +.sr-data:empty { display: none; } + +.task-card { + border: 1px solid var(--accent); border-radius: var(--radius); + background: var(--surface); padding: 0.9rem 1.1rem; margin-bottom: 1.25rem; +} +.task-card .progress { height: 8px; border-radius: 4px; background: var(--line); overflow: hidden; margin-top: 0.5rem; } +.task-card .progress > div { height: 100%; background: var(--accent); width: 0; transition: width 0.4s; } +@media (prefers-reduced-motion: reduce) { .task-card .progress > div { transition: none; } } + +.analysis-groups { margin-top: 0.8rem; } +.analysis-groups h3 { margin: 1rem 0 0.3rem; } diff --git a/src/variaq/web/static/app.js b/src/variaq/web/static/app.js new file mode 100644 index 0000000..d1bfa23 --- /dev/null +++ b/src/variaq/web/static/app.js @@ -0,0 +1,340 @@ +/* VariaQ local web UI. All scientific values come from the VariaQ API; + this layer only formats and presents them. */ +"use strict"; + +const API = "/api/v1"; + +function el(id) { return document.getElementById(id); } + +async function apiGet(path) { + const res = await fetch(API + path, { headers: { Accept: "application/json" } }); + return handle(res); +} +async function apiPost(path, body) { + const res = await fetch(API + path, { + method: "POST", + headers: { "Content-Type": "application/json", Accept: "application/json" }, + body: JSON.stringify(body), + }); + return handle(res); +} +async function handle(res) { + let payload = null; + try { payload = await res.json(); } catch { /* non-JSON */ } + if (!res.ok) { + const detail = payload && payload.error ? payload.error + : payload && payload.detail ? (typeof payload.detail === "string" ? { message: payload.detail } : payload.detail) + : { type: "HttpError", message: "Request failed with status " + res.status }; + const err = new Error(detail.message || "request failed"); + err.type = detail.type || "HttpError"; + err.details = detail.details || null; + throw err; + } + return payload; +} + +function fmtNum(v, digits = 6) { + if (v === null || v === undefined || Number.isNaN(v)) return "—"; + return Number(v).toPrecision(digits).replace(/\.?0+$e/, "e"); +} +function fmtTime(v) { return v === null || v === undefined ? "—" : String(v).replace("T", " ").slice(0, 19); } +function fmtBytes(n) { + if (n === null || n === undefined) return "—"; + const units = ["B", "KiB", "MiB", "GiB"]; + let v = n, i = 0; + while (v >= 1024 && i < units.length - 1) { v /= 1024; i++; } + return `${v.toFixed(v >= 100 || i === 0 ? 0 : 1)} ${units[i]}`; +} +function esc(s) { return String(s).replace(/[&<>"']/g, c => ({ "&": "&", "<": "<", ">": ">", '"': """, "'": "'" }[c])); } +function shortId(id) { return String(id).length > 24 ? String(id).slice(0, 12) + "…" + String(id).slice(-6) : id; } + +function statusPill(status) { + const cls = status === "success" ? "status-success" : status === "failed" ? "status-failed" : "status-unavailable"; + return `${esc(status)}`; +} +function boolText(v) { + if (v === null || v === undefined) return "—"; + return v ? "yes" : "no"; +} + +// Mark up only HTML assembled here from already-escaped values. API strings are +// text by default in kvFill, so callers cannot accidentally introduce markup. +function html(value) { return { variaqSafeHtml: String(value) }; } + +function isQuantumResult(r, m) { + return Boolean( + m.qubit_count != null || m.optimized_expected_objective != null || + m.feasible_sample_count != null || m.qaoa_depth_p != null + ); +} + +function setStatus(id, msg, isError) { + const node = el(id); + if (!node) return; + node.textContent = msg; + node.classList.toggle("error", Boolean(isError)); + node.hidden = !msg; +} + +function kvFill(node, entries) { + node.innerHTML = entries + .filter(([, v]) => v !== undefined) + .map(([k, v]) => { + let rendered = "—"; + if (v && typeof v === "object" && Object.hasOwn(v, "variaqSafeHtml")) { + rendered = v.variaqSafeHtml; + } else if (v !== null) { + rendered = esc(v); + } + return `
${esc(k)}
${rendered}
`; + }) + .join(""); +} + +function tableRows(tableId, rowsHtml, emptyColspan, emptyText) { + const tbody = el(tableId).querySelector("tbody"); + tbody.innerHTML = rowsHtml.length + ? rowsHtml.join("") + : `${esc(emptyText)}`; +} + +/* -- dashboard -------------------------------------------------------------- */ +async function initDashboard() { + try { + const data = await apiGet("/overview"); + el("dashboard-status").hidden = true; + el("dashboard").hidden = false; + const v = document.querySelector("#app-version"); + if (v) v.textContent = `VariaQ ${data.variaq_version} · database ${data.database_name}`; + el("stat-problems").textContent = data.counts.problems; + el("stat-runs").textContent = data.counts.runs; + el("stat-campaigns").textContent = data.counts.campaigns; + el("stat-reports").textContent = data.counts.reports; + if (data.counts.runs === 0 && data.counts.campaigns === 0) el("empty-hint").hidden = false; + + tableRows("recent-runs-table", data.recent_runs.map(r => ` + ${esc(shortId(r.run_id))} + ${esc(r.solver_name)}${statusPill(r.status)} + ${fmtNum(r.objective)}${fmtNum(r.wall_time_seconds, 4)}`), 5, "No runs yet."); + + el("recent-campaigns-list").innerHTML = data.recent_campaigns.length + ? data.recent_campaigns.map(c => `
  • ${esc(shortId(c.campaign_id))} ${esc(c.name)} (${esc(c.family)})
    • `).join("") + : `
  • No campaigns yet.
    • `; + + const solvers = Object.entries(data.solver_availability); + tableRows("solver-state-table", solvers.map(([name, s]) => + `${esc(name)}${boolText(s.installed)}${boolText(s.available)}`), 3, "No solvers."); + const c = data.cudaq || {}; + const targets = c.targets || {}; + kvFill(el("backend-facts"), [ + ["CUDA-Q installed", boolText(Boolean(c.installed))], + ["qpp-cpu available", boolText(Boolean(targets.qpp_cpu && targets.qpp_cpu.available))], + ["NVIDIA target available", boolText(Boolean(targets.nvidia && targets.nvidia.available))], + ["GPU count", targets.nvidia && targets.nvidia.gpu_count != null ? targets.nvidia.gpu_count : "—"], + ]); + el("qpu-state").textContent = `Physical QPU: ${data.physical_qpu.reason || "not supported"}`; + } catch (err) { + setStatus("dashboard-status", `${err.type}: ${err.message}`, true); + } +} + +/* -- problems --------------------------------------------------------------- */ +async function initProblems() { + const form = el("problem-filters"); + async function load() { + const params = new URLSearchParams(); + const family = form.family.value, search = form.search.value.trim(); + if (family) params.set("family", family); + if (search) params.set("search", search); + try { + const data = await apiGet("/problems?" + params); + el("problems-status").hidden = true; + el("problems-wrap").hidden = false; + tableRows("problems-table", data.problems.map(p => ` + ${esc(shortId(p.problem_id))} + ${esc(p.problem_type)}${esc(sizeText(p))}${esc(p.sense || "—")} + ${p.run_count}${fmtTime(p.created_at)}`), 6, "No problems match."); + el("problems-count").textContent = `${data.total} problem(s)`; + } catch (err) { + setStatus("problems-status", `${err.type}: ${err.message}`, true); + } + } + form.addEventListener("submit", e => { e.preventDefault(); load(); }); + load(); +} +function sizeText(p) { + const s = p.size || {}; + const parts = Object.entries(s).map(([k, v]) => `${k}=${v}`); + return parts.join(" ") || "—"; +} + +/* -- problem detail --------------------------------------------------------- */ +async function initProblemDetail() { + const id = document.querySelector("[data-problem-id]")?.dataset.problemId + || decodeURIComponent(location.pathname.split("/").pop()); + try { + const data = await apiGet("/problems/" + encodeURIComponent(id)); + el("problem-status").hidden = true; + el("problem-detail").hidden = false; + const def = data.definition; + const meta = data.metadata; + kvFill(el("problem-kv"), [ + ["Family", data.family], + ["Sense", data.sense || "—"], + ["Size", sizeText(meta)], + ["Exact objective", fmtNum(data.exact_objective)], + ["Variable count", def.dimensions ? JSON.stringify(def.dimensions) : (def.nodes || "—")], + ["Created", fmtTime(meta.created_at)], + ]); + el("problem-definition").textContent = JSON.stringify(def, null, 2); + const runs = data.runs.runs; + tableRows("problem-runs-table", runs.map(r => ` + ${esc(shortId(r.run_id))} + ${esc(r.solver_name)}${statusPill(r.status)} + ${fmtNum(r.objective)}${boolText(r.feasible)} + ${fmtNum(r.wall_time_seconds, 4)}`), 6, "No runs on this problem."); + el("problem-campaigns-list").innerHTML = data.campaigns.length + ? data.campaigns.map(c => `
  • ${esc(shortId(c.campaign_id))} ${esc(c.name)}
    • `).join("") + : `
  • Not part of any campaign.
    • `; + } catch (err) { + setStatus("problem-status", `${err.type}: ${err.message}`, true); + } +} + +/* -- runs ------------------------------------------------------------------- */ +async function initRuns() { + const form = el("run-filters"); + const state = { offset: 0, limit: 50 }; + async function load() { + const params = new URLSearchParams(); + for (const key of ["family", "solver", "backend", "status", "campaign_id"]) { + const v = form[key].value.trim(); + if (v) params.set(key, v); + } + params.set("limit", state.limit); + params.set("offset", state.offset); + setStatus("runs-status", "Loading…"); + try { + const data = await apiGet("/runs?" + params); + el("runs-status").hidden = true; + el("runs-wrap").hidden = false; + tableRows("runs-table", data.runs.map(r => ` + ${esc(shortId(r.run_id))} + ${fmtTime(r.created_at)}${esc(r.problem_type)} + ${esc(shortId(r.problem_id))} + ${esc(r.solver_name)}${esc(r.backend_name)} + ${statusPill(r.status)}${fmtNum(r.objective)} + ${boolText(r.feasible)}${fmtNum(r.wall_time_seconds, 4)}`), + 10, "No runs match the filters."); + const from = data.total === 0 ? 0 : data.offset + 1; + const to = Math.min(data.offset + data.limit, data.total); + el("runs-page-info").textContent = `${from}–${to} of ${data.total}`; + el("runs-prev").disabled = data.offset === 0; + el("runs-next").disabled = data.offset + data.limit >= data.total; + } catch (err) { + setStatus("runs-status", `${err.type}: ${err.message}`, true); + } + } + form.addEventListener("submit", e => { e.preventDefault(); state.offset = 0; load(); }); + el("runs-prev").addEventListener("click", () => { state.offset = Math.max(0, state.offset - state.limit); load(); }); + el("runs-next").addEventListener("click", () => { state.offset += state.limit; load(); }); + load(); +} + +/* -- run detail ------------------------------------------------------------- */ +async function initRunDetail() { + const id = decodeURIComponent(location.pathname.split("/").pop()); + try { + const run = await apiGet("/runs/" + encodeURIComponent(id)); + el("run-status").hidden = true; + el("run-detail").hidden = false; + const r = run.result, m = r.backend.metrics || {}; + const messages = el("run-messages"); + const warnings = (r.warnings || []).slice(0, 10); + const errors = (r.errors || []).slice(0, 10); + if (warnings.length || errors.length) { + messages.hidden = false; + messages.innerHTML = [ + warnings.length ? `
    Warnings
      ${warnings.map(w => `
    • ${esc(w)}
      • `).join("")}
    ` : "", + errors.length ? `` : "", + ].join(""); + } + kvFill(el("run-result-kv"), [ + ["Status", r.status], + ["Solver", `${r.solver_name} ${r.solver_version}`], + ["Problem family", r.problem_type], + ["Objective (decoded solution)", fmtNum(r.objective)], + ["Feasible", boolText(r.feasible)], + ["Best known objective", fmtNum(r.best_known_objective)], + ["Best known source", r.best_known_source || "—"], + ["Optimality gap %", fmtNum(r.optimality_gap_percent, 4)], + ["Approximation ratio", fmtNum(r.approximation_ratio, 4)], + ["Wall time s", fmtNum(r.wall_time_seconds, 5)], + ["Solver time s", fmtNum(r.solver_time_seconds, 5)], + ]); + el("run-solution").textContent = r.solution === null ? "no solution" : JSON.stringify(r.solution); + + if (isQuantumResult(r, m)) { + el("run-quantum-panel").hidden = false; + kvFill(el("run-quantum-kv"), [ + ["Expectation (optimized candidate)", fmtNum(m.optimized_expected_objective)], + ["BQM energy, best decoded sample (lowered)", fmtNum(m.best_solution_energy)], + ["Best infeasible BQM energy", fmtNum(m.best_infeasible_energy)], + ["Feasible samples", m.feasible_sample_count ?? "—"], + ["Infeasible samples", m.infeasible_sample_count ?? "—"], + ["Binary variables", m.binary_variable_count ?? "—"], + ["Qubits", m.qubit_count ?? "—"], + ["QAOA depth p", m.qaoa_depth_p ?? "—"], + ["Shots", m.shots ?? "—"], + ["Optimizer", m.optimizer ? `${m.optimizer} (${m.optimizer_trials ?? "?"} trials)` : "—"], + ["Unique sampled states", m.sampled_unique_states ?? "—"], + ["Circuit depth (logical)", m.circuit_depth ?? "—"], + ["Gate count (logical)", m.logical_gate_count ?? "—"], + ]); + } + + const timingEntries = [ + ["Backend initialization s", fmtNum(m.backend_initialization_seconds, 5)], + ["Expectation evaluation s", fmtNum(m.expectation_evaluation_seconds, 5)], + ["Parameter search s", fmtNum(m.parameter_search_seconds, 5)], + ["Final sampling s", fmtNum(m.final_sampling_seconds, 5)], + ["Warmup s", fmtNum(m.warmup_seconds, 5)], + ].filter(([, v]) => v !== "—"); + kvFill(el("run-backend-kv"), [ + ["Framework", m.framework || r.backend.backend_type], + ["Backend", r.backend.name], + ["Backend type", r.backend.backend_type], + ["Provider", r.backend.provider], + ["Local", boolText(r.backend.is_local)], + ["Precision", m.floating_point_precision || "—"], + ["Versions", Object.entries(r.backend.versions || {}).map(([k, v]) => `${k}=${v}`).join(", ") || "—"], + ...timingEntries, + ]); + const campaigns = run.campaigns || []; + kvFill(el("run-prov-kv"), [ + ["Problem", html(`${esc(run.problem.problem_id)}`)], + ["Problem family / sense", `${run.problem.family} / ${run.problem.sense}`], + ["Campaigns", campaigns.length + ? html(campaigns.map(c => `${esc(shortId(c.campaign_id))} ${esc(c.name)}`).join(", ")) + : "—"], + ["Rerun of", run.rerun_of ? html(`${esc(run.rerun_of)}`) : "—"], + ["Seed", run.solver_config.seed], + ["VariaQ version", (run.environment.packages && run.environment.packages.variaq) || "—"], + ["Created", fmtTime(run.created_at)], + ]); + } catch (err) { + setStatus("run-status", `${err.type}: ${err.message}`, true); + } +} + +window.VARIAQ = { apiGet, apiPost, esc, html, fmtNum, fmtTime, fmtBytes, shortId, statusPill, boolText, setStatus, kvFill, tableRows }; + +const PAGES = { + dashboard: initDashboard, + problems: initProblems, + problem_detail: initProblemDetail, + runs: initRuns, + run_detail: initRunDetail, +}; +const page = window.VARIAQ_PAGE; +if (page && PAGES[page]) document.addEventListener("DOMContentLoaded", PAGES[page]); diff --git a/src/variaq/web/static/app2.js b/src/variaq/web/static/app2.js new file mode 100644 index 0000000..4dac44e --- /dev/null +++ b/src/variaq/web/static/app2.js @@ -0,0 +1,524 @@ +/* Campaign pages, analysis visualization, reports, capabilities. + Chart data comes only from VariaQ AnalysisResult JSON (no JS-side metrics). */ +"use strict"; + +(function () { +const { apiGet, apiPost, esc, html, fmtNum, fmtTime, fmtBytes, shortId, statusPill, boolText, setStatus, kvFill, tableRows } = window.VARIAQ; + +const CHART_COLORS = ["#14548c", "#1b6b3a", "#8c5a00", "#9c1f1f", "#5b3f8c", "#0f6e73", "#745c00", "#333"]; + +function groupKeyLabel(key) { + return Object.entries(key).map(([k, v]) => `${k}=${v}`).join(", ") || "(all runs)"; +} + +function renderAnalysisInto(container, analysis) { + const parts = []; + if (analysis.warnings && analysis.warnings.length) { + parts.push(`
    ${analysis.warnings.map(esc).join("
    ")}
    `); + } + for (const group of analysis.groups || []) { + const q = group.quality, f = group.feasibility, t = group.timing, r = group.resource; + parts.push(`

    ${esc(groupKeyLabel(group.group_key))}

    `); + parts.push(`
    + + + `); + parts.push(` + + + + + `); + parts.push(`
    RunsBest objectiveMean objectiveMean gap %Optimum rateFeasible runsMean feasible rateWall mean sBinary varsQubits
    ${group.count}${fmtNum(q.best_objective)}${fmtNum(q.mean_objective)}${fmtNum(q.mean_gap_percent, 4)}${fmtNum(q.success_at_optimum_rate, 3)}${f.feasible_runs}/${f.count}${fmtNum(f.mean_feasible_rate, 3)}${fmtNum(t.total_wall_time_seconds.mean, 4)}${r.binary_variables ?? "—"}${r.qubits ?? "—"}
    `); + } + for (const comp of analysis.comparisons || []) { + if (!comp.pairs.length) continue; + parts.push(`

    Comparison: ${esc(comp.comparison_type)}

    `); + parts.push(`
    `); + for (const pair of comp.pairs) { + for (const key of Object.keys(pair)) { + if (key === "problem_id" || key.endsWith("_run_ids") || typeof pair[key] !== "object" || pair[key] === null) continue; + const cell = pair[key]; + parts.push(` + `); + } + } + parts.push(`
    ProblemSolverObjectiveGap %
    ${esc(shortId(pair.problem_id))}${esc(key)}${fmtNum(cell.objective)}${fmtNum(cell.gap_percent, 4)}
    `); + if (comp.warnings && comp.warnings.length) { + parts.push(`

    ${comp.warnings.map(esc).join("
    ")}

    `); + } + } + container.innerHTML = parts.join("") || `

    No analysis groups.

    `; +} + +function scalingSeries(points, pickValue) { + const series = new Map(); + const table = new Map(); + for (const point of points || []) { + const key = groupKeyLabel(Object.fromEntries( + Object.entries(point.group_key).filter(([k]) => k !== "problem_size") + )); + const y = pickValue(point); + if (y === null || y === undefined) continue; + if (!series.has(key)) { series.set(key, []); table.set(key, []); } + series.get(key).push({ x: point.x_value, y }); + table.get(key).push([point.x_value, y]); + } + for (const pts of series.values()) pts.sort((a, b) => a.x - b.x); + return { series, table }; +} + +function drawScalingChart(canvasId, tableId, points, yLabel, pickValue) { + const canvas = el(canvasId); + if (!canvas) return; + const { series, table } = scalingSeries(points, pickValue); + // Accessible data table regardless of canvas rendering. + const tbl = el(tableId); + if (tbl) { + const rows = []; + for (const [key, vals] of table) { + for (const [x, y] of vals) rows.push(`${esc(key)}${x}${fmtNum(y, 5)}`); + } + tbl.innerHTML = rows.length + ? `${esc(yLabel)} by groupGroupx${esc(yLabel)}${rows.join("")}` + : ""; + } + if (!series.size || typeof Chart === "undefined") return; + const datasets = [...series.entries()].map(([label, data], i) => ({ + label, data, borderColor: CHART_COLORS[i % CHART_COLORS.length], + backgroundColor: CHART_COLORS[i % CHART_COLORS.length], showLine: true, tension: 0.15, + })); + new Chart(canvas, { + type: "scatter", + data: { datasets }, + options: { + responsive: true, maintainAspectRatio: false, + scales: { + x: { type: "linear", title: { display: true, text: "problem size" } }, + y: { title: { display: true, text: yLabel } }, + }, + plugins: { legend: { position: "bottom", labels: { boxWidth: 10 } } }, + }, + }); +} + +/* -- campaigns list ----------------------------------------------------------- */ +async function initCampaigns() { + pollActiveTask("active-task-region"); + try { + const data = await apiGet("/campaigns"); + el("campaigns-status").hidden = true; + el("campaigns-wrap").hidden = false; + tableRows("campaigns-table", data.campaigns.map(c => { + const counts = Object.entries(c.status_counts || {}).map(([k, v]) => `${k}: ${v}`).join(", ") || "—"; + return ` + ${esc(shortId(c.campaign_id))} + ${esc(c.name)}${esc(c.family)}${fmtTime(c.created_at)} + ${c.requested_runs}${c.completed_runs}${esc(counts)}`; + }), 7, "No campaigns yet. Create one from “New campaign”."); + } catch (err) { + setStatus("campaigns-status", `${err.type}: ${err.message}`, true); + } +} + +async function pollActiveTask(regionId) { + const region = el(regionId); + if (!region) return; + async function refresh() { + let payload; + try { payload = await apiGet("/campaigns/tasks/current"); } catch { return; } + const task = payload.task; + if (!task || (task.status !== "starting" && task.status !== "running")) { + region.hidden = true; + return; + } + region.hidden = false; + const total = task.planned_runs; + const pct = total ? Math.min(100, (task.completed_runs / total) * 100) : 0; + region.innerHTML = `
    + Campaign ${esc(task.status)} — + ${task.completed_runs}${total ? " / " + total : ""} runs recorded + + task ${esc(task.task_id)}
    `; + setTimeout(refresh, 2000); + } + refresh(); +} + +/* -- campaign detail ---------------------------------------------------------- */ +async function initCampaignDetail() { + const id = decodeURIComponent(location.pathname.split("/").pop()); + const runState = { offset: 0, limit: 25 }; + try { + const data = await apiGet("/campaigns/" + encodeURIComponent(id)); + el("campaign-status").hidden = true; + el("campaign-detail").hidden = false; + const d = data.definition; + kvFill(el("campaign-def-kv"), [ + ["Name", d.name], + ["Family", d.family], + ["Problem sizes", d.problem_sizes.join(", ")], + ["Problem seeds", d.problem_seeds.join(", ")], + ["Solvers", d.solvers.join(", ")], + ["Repeats", d.repeats], + ["Generator parameters", Object.keys(d.generator_parameters || {}).length + ? html(`${esc(JSON.stringify(d.generator_parameters))}`) : "—"], + ["Created", fmtTime(d.created_at)], + ]); + kvFill(el("campaign-exec-kv"), [ + ["Requested runs", data.requested_runs], + ["Completed runs", data.completed_runs], + ["Status counts", Object.entries(data.status_counts || {}).map(([k, v]) => `${k}: ${v}`).join(", ") || "—"], + ["Solver breakdown", Object.entries(data.solver_breakdown || {}).map(([k, v]) => `${k}: ${v}`).join(", ") || "—"], + ]); + loadCampaignRuns(id, runState); + el("campaign-runs-prev").addEventListener("click", () => { + runState.offset = Math.max(0, runState.offset - runState.limit); loadCampaignRuns(id, runState); + }); + el("campaign-runs-next").addEventListener("click", () => { + runState.offset += runState.limit; loadCampaignRuns(id, runState); + }); + + await runAnalysis(id); + el("analysis-controls").addEventListener("submit", async e => { e.preventDefault(); await runAnalysis(id); }); + + await loadCampaignReports(id); + el("report-form").addEventListener("submit", async e => { + e.preventDefault(); + await generateCampaignReport(id, e.target); + }); + } catch (err) { + setStatus("campaign-status", `${err.type}: ${err.message}`, true); + } +} + +async function loadCampaignRuns(campaignId, state) { + try { + const data = await apiGet(`/runs?campaign_id=${encodeURIComponent(campaignId)}&limit=${state.limit}&offset=${state.offset}`); + tableRows("campaign-runs-table", data.runs.map(r => ` + ${esc(shortId(r.run_id))} + ${esc(r.solver_name)} + ${esc(shortId(r.problem_id))} + ${statusPill(r.status)}${fmtTime(r.created_at)}`), 5, "No member runs."); + const from = data.total === 0 ? 0 : data.offset + 1; + const to = Math.min(data.offset + data.limit, data.total); + el("campaign-runs-page-info").textContent = `${from}–${to} of ${data.total}`; + el("campaign-runs-prev").disabled = data.offset === 0; + el("campaign-runs-next").disabled = data.offset + data.limit >= data.total; + } catch (err) { + setStatus("campaign-status", `${err.type}: ${err.message}`, true); + } +} + +async function runAnalysis(campaignId) { + const form = el("analysis-controls"); + const groupBy = form.group_by.value.split(",").filter(Boolean); + const comparisons = form.compare_cvq.checked ? ["classical_vs_quantum"] : []; + try { + const analysis = await apiPost(`/analysis/campaigns/${encodeURIComponent(campaignId)}`, { + group_by: groupBy, + scaling_x: form.scaling_x.value, + include_failed: form.include_failed.checked, + comparisons, + }); + el("analysis-provenance").textContent = + `${analysis.source_run_ids.length} source runs · campaign ${campaignId} · group by ${groupBy.join(", ") || "none"}`; + renderAnalysisInto(el("analysis-body"), analysis); + const pts = analysis.scaling_points; + drawScalingChart("chart-gap", "chart-gap-table", pts, "mean gap %", + p => p.quality.mean_gap_percent); + drawScalingChart("chart-time", "chart-time-table", pts, "mean wall s", + p => p.timing.total_wall_time_seconds.mean); + drawScalingChart("chart-feasible", "chart-feasible-table", pts, "mean feasible rate", + p => p.feasibility.mean_feasible_rate); + drawScalingChart("chart-qubits", "chart-qubits-table", pts, "qubits", + p => p.resource.qubits); + } catch (err) { + el("analysis-body").innerHTML = `

    ${esc(err.type)}: ${esc(err.message)}

    `; + } +} + +async function loadCampaignReports(campaignId) { + try { + const data = await apiGet("/reports"); + const mine = data.reports.filter(r => r.campaign_id === campaignId); + el("campaign-reports-list").innerHTML = mine.length + ? mine.map(r => `
  • ${esc(shortId(r.report_id))} + ${fmtTime(r.generated_at)} · ${r.source_run_count} source runs · ${esc(r.formats.join(", "))}
    • `).join("") + : `
  • No reports for this campaign yet.
    • `; + } catch (err) { + el("campaign-reports-list").innerHTML = `
  • ${esc(err.message)}
    • `; + } +} + +async function generateCampaignReport(campaignId, form) { + const formats = []; + if (form.fmt_json.checked) formats.push("json"); + if (form.fmt_csv.checked) formats.push("csv"); + if (form.fmt_md.checked) formats.push("markdown"); + setStatus("report-gen-status", "Generating…"); + try { + const result = await apiPost(`/reports/campaigns/${encodeURIComponent(campaignId)}`, { + formats: formats.length ? formats : null, + plots: form.fmt_plots.checked, + overwrite: form.overwrite.checked, + }); + const warn = (result.warnings || []).length ? ` (${result.warnings.join("; ")})` : ""; + setStatus("report-gen-status", `Report ${result.report_id} written.${warn}`); + await loadCampaignReports(campaignId); + } catch (err) { + setStatus("report-gen-status", `${err.type}: ${err.message}`, true); + } +} + +/* -- campaign new / plan / run ------------------------------------------------ */ +const FAMILY_PARAMS = { + "maxcut": [{ name: "edge_probability", label: "Edge probability", value: "0.4" }], + "assignment": [ + { name: "resource_count", label: "Resource count (blank = size)", value: "" }, + { name: "prohibited_probability", label: "Prohibited probability", value: "0" }, + ], + "subset-selection": [ + { name: "budget", label: "Budget (blank = none)", value: "" }, + { name: "min_cardinality", label: "Min cardinality (blank = none)", value: "" }, + { name: "max_cardinality", label: "Max cardinality (blank = none)", value: "" }, + ], + "graph-partition": [ + { name: "edge_probability", label: "Edge probability", value: "0.4" }, + { name: "partition_count", label: "Partition count", value: "2" }, + ], +}; + +async function initCampaignNew() { + const form = el("campaign-form"); + let lastPlan = null; + + // Solver picker from live capabilities (no hardcoded matrix). + try { + const caps = await apiGet("/capabilities"); + el("solver-picker").innerHTML = caps.solvers.map(s => + `` + ).join(""); + } catch (err) { + el("solver-picker").innerHTML = `${esc(err.message)}`; + } + + const familySelect = el("campaign-family"); + function renderFamilyParams() { + const fields = FAMILY_PARAMS[familySelect.value] || []; + el("family-param-fields").innerHTML = fields.map(f => + `` + ).join("") || `

    No additional parameters for this family.

    `; + } + familySelect.addEventListener("change", renderFamilyParams); + renderFamilyParams(); + + function gatherDefinition() { + const sizes = form.problem_sizes.value.split(",").map(s => parseInt(s.trim(), 10)).filter(n => !Number.isNaN(n)); + const seeds = form.problem_seeds.value.split(",").map(s => parseInt(s.trim(), 10)).filter(n => !Number.isNaN(n)); + const solvers = [...form.querySelectorAll('input[name="solver"]:checked')].map(c => c.value); + const genParams = {}; + for (const input of form.querySelectorAll("[data-gen-param]")) { + const raw = input.value.trim(); + if (raw === "") continue; + const num = Number(raw); + genParams[input.dataset.genParam] = Number.isNaN(num) ? raw : num; + } + return { + name: form.name.value.trim(), + family: familySelect.value, + problem_sizes: sizes, + problem_seeds: seeds, + solvers, + repeats: parseInt(form.repeats.value, 10) || 1, + base_seed: parseInt(form.base_seed.value, 10) || 0, + generator_parameters: genParams, + notes: form.notes.value, + tags: [], + }; + } + + form.addEventListener("submit", async e => { + e.preventDefault(); + try { + const definition = gatherDefinition(); + const plan = await apiPost("/campaigns/plan", { definition }); + lastPlan = { definition, plan }; + renderPlan(plan); + el("plan-section").hidden = false; + el("plan-section").scrollIntoView({ behavior: "smooth", block: "start" }); + } catch (err) { + el("plan-section").hidden = false; + el("plan-body").innerHTML = `

    ${esc(err.type)}: ${esc(err.message)}

    `; + } + }); + + function renderPlan(plan) { + const rows = (plan.solver_breakdown || []).map(s => ` + ${esc(s.solver)}${s.requested_runs} + ${boolText(s.supported)}${boolText(s.installed)}${boolText(s.available)}`).join(""); + const unavailable = (plan.unavailable || []).map(u => + `
  • ${esc(u.solver)}: ${esc(u.reason)} (${u.requested_runs} runs)
    • `).join(""); + const warnings = (plan.warnings || []).map(w => `
  • ${esc(w)}
    • `).join(""); + el("plan-body").innerHTML = ` +

    ${plan.problem_instance_count} problem instances · + ${plan.requested_runs} requested runs · + default maximum ${plan.default_max_runs}

    +
    + ${rows}
    SolverRunsSupportedInstalledAvailable
    + ${unavailable ? `

    Unavailable combinations

      ${unavailable}
    ` : ""} + ${warnings ? `

    Warnings

      ${warnings}
    ` : ""}`; + const over = plan.exceeds_default_max; + el("plan-override").hidden = !over; + if (over) { + el("plan-override-text").textContent = + `This campaign requests ${plan.requested_runs} runs, which exceeds the default maximum of ${plan.default_max_runs}. VariaQ's own max-run guard still applies.`; + el("override-max-runs").checked = false; + el("run-campaign-btn").disabled = true; + el("override-max-runs").addEventListener("change", ev => { + el("run-campaign-btn").disabled = !ev.target.checked; + }); + } else { + el("run-campaign-btn").disabled = false; + } + } + + el("run-form").addEventListener("submit", async e => { + e.preventDefault(); + if (!lastPlan) return; + const btn = el("run-campaign-btn"); + btn.disabled = true; + setStatus("run-status", "Starting…"); + try { + const over = lastPlan.plan.exceeds_default_max; + const result = await apiPost("/campaigns/run", { + definition: lastPlan.definition, + override_max_runs: over && el("override-max-runs").checked, + }); + setStatus("run-status", `Task ${result.task.task_id} ${result.task.status}.`); + pollTaskUntilDone(result.task.task_id); + } catch (err) { + setStatus("run-status", `${err.type}: ${err.message}`, true); + btn.disabled = false; + } + }); + + async function pollTaskUntilDone(taskId) { + try { + const payload = await apiGet("/campaigns/tasks/" + encodeURIComponent(taskId)); + const task = payload.task; + const total = task.planned_runs; + if (task.status === "completed" || task.status === "failed") { + if (task.status === "completed") { + const cid = task.campaign_id; + setStatus("run-status", `Completed: ${task.completed_runs} runs recorded.`); + el("plan-body").insertAdjacentHTML("beforeend", + `

    Open campaign ${esc(shortId(cid))}

    `); + } else { + setStatus("run-status", `Failed: ${task.error ? esc(task.error.message) : "unknown error"}`, true); + } + return; + } + setStatus("run-status", `Running… ${task.completed_runs}${total ? " / " + total : ""} runs`); + setTimeout(() => pollTaskUntilDone(taskId), 1500); + } catch { + setStatus("run-status", "Lost contact with campaign task (server restarted?). The campaign runs already recorded remain in the database.", true); + } + } +} + +/* -- reports ------------------------------------------------------------------ */ +async function initReports() { + try { + const data = await apiGet("/reports"); + el("reports-status").hidden = true; + if (!data.reports.length) { el("reports-empty").hidden = false; return; } + el("reports-wrap").hidden = false; + tableRows("reports-table", data.reports.map(r => ` + ${esc(shortId(r.report_id))} + ${r.campaign_id ? `${esc(shortId(r.campaign_id))}` : "—"} + ${fmtTime(r.generated_at)}${esc(r.formats.join(", "))} + ${r.source_run_count} + ${r.warnings && r.warnings.length ? `${r.warnings.length}` : "0"}`), + 6, "No reports."); + } catch (err) { + setStatus("reports-status", `${err.type}: ${err.message}`, true); + } +} + +async function initReportDetail() { + const id = decodeURIComponent(location.pathname.split("/").pop()); + try { + const data = await apiGet("/reports/" + encodeURIComponent(id)); + const report = data.report; + el("report-status").hidden = true; + el("report-detail").hidden = false; + kvFill(el("report-kv"), [ + ["Campaign", report.campaign_id + ? html(`${esc(report.campaign_id)}`) : "—"], + ["Generated", fmtTime(report.generated_at)], + ["VariaQ version", report.variaq_version], + ["Report format version", report.report_format_version], + ]); + el("report-provenance").textContent = + `${(report.source_run_ids || []).length} source runs · first runs: ${(report.source_run_ids || []).slice(0, 3).map(s => shortId(s)).join(", ") || "none"}`; + tableRows("report-files-table", (data.files || []).map(f => ` + ${esc(f.name)}${esc(f.format)}${fmtBytes(f.size)} + Download`), + 4, "No files for this report."); + } catch (err) { + setStatus("report-status", `${err.type}: ${err.message}`, true); + } +} + +/* -- capabilities ------------------------------------------------------------- */ +async function initCapabilities() { + try { + const data = await apiGet("/capabilities"); + el("capabilities-status").hidden = true; + el("capabilities").hidden = false; + kvFill(el("cap-variaq"), [ + ["VariaQ version", data.variaq.version], + ["Output schema version", data.variaq.output_schema_version], + ["Python", data.variaq.python_version.split(" ")[0]], + ["Implementation", data.variaq.python_implementation], + ]); + tableRows("cap-solvers-table", data.solvers.map(s => ` + ${esc(s.name)}${boolText(s.supported)}${boolText(s.installed)} + ${boolText(s.available)} + ${esc((s.supported_families || []).join(", ") || "—")}`), + 5, "No solvers."); + const cudaq = (data.frameworks || []).find(f => f.name === "cudaq") || {}; + const qiskit = (data.frameworks || []).find(f => f.name === "qiskit") || {}; + const targets = cudaq.targets || {}; + kvFill(el("cap-frameworks"), [ + ["Qiskit", qiskit.version || "not installed"], + ["CUDA-Q", cudaq.version || "not installed"], + ["qpp-cpu available", boolText(Boolean(targets.qpp_cpu && targets.qpp_cpu.available))], + ["NVIDIA target available", boolText(Boolean(targets.nvidia && targets.nvidia.available))], + ["GPU count", targets.nvidia && targets.nvidia.gpu_count != null ? String(targets.nvidia.gpu_count) : "—"], + ]); + el("cap-qpu").textContent = data.physical_qpu.reason || "Physical QPU execution is not supported."; + if (data.warnings && data.warnings.length) { + el("cap-warnings-panel").hidden = false; + el("cap-warnings").innerHTML = data.warnings.map(w => `
  • ${esc(w.message)}
    • `).join(""); + } + } catch (err) { + setStatus("capabilities-status", `${err.type}: ${err.message}`, true); + } +} + +Object.assign(window, {}); +const PAGE2 = { + campaigns: initCampaigns, + campaign_detail: initCampaignDetail, + campaign_new: initCampaignNew, + reports: initReports, + report_detail: initReportDetail, + capabilities: initCapabilities, +}; +const page2 = window.VARIAQ_PAGE; +if (page2 && PAGE2[page2]) document.addEventListener("DOMContentLoaded", PAGE2[page2]); +})(); diff --git a/src/variaq/web/static/vendor/chart.umd.VERSION b/src/variaq/web/static/vendor/chart.umd.VERSION new file mode 100644 index 0000000..80ce337 --- /dev/null +++ b/src/variaq/web/static/vendor/chart.umd.VERSION @@ -0,0 +1 @@ +4.5.1 (jsdelivr, vendored locally) diff --git a/src/variaq/web/static/vendor/chart.umd.min.js b/src/variaq/web/static/vendor/chart.umd.min.js new file mode 100644 index 0000000..008464f --- /dev/null +++ b/src/variaq/web/static/vendor/chart.umd.min.js @@ -0,0 +1,14 @@ 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ds="$chartjs",us={touchstart:"mousedown",touchmove:"mousemove",touchend:"mouseup",pointerenter:"mouseenter",pointerdown:"mousedown",pointermove:"mousemove",pointerup:"mouseup",pointerleave:"mouseout",pointerout:"mouseout"},fs=t=>null===t||""===t;const gs=!!Se&&{passive:!0};function ps(t,e,i){t&&t.canvas&&t.canvas.removeEventListener(e,i,gs)}function ms(t,e){for(const i of t)if(i===e||i.contains(e))return!0}function xs(t,e,i){const s=t.canvas,n=new MutationObserver((t=>{let e=!1;for(const i of t)e=e||ms(i.addedNodes,s),e=e&&!ms(i.removedNodes,s);e&&i()}));return n.observe(document,{childList:!0,subtree:!0}),n}function bs(t,e,i){const s=t.canvas,n=new MutationObserver((t=>{let e=!1;for(const i of t)e=e||ms(i.removedNodes,s),e=e&&!ms(i.addedNodes,s);e&&i()}));return n.observe(document,{childList:!0,subtree:!0}),n}const _s=new Map;let ys=0;function vs(){const t=window.devicePixelRatio;t!==ys&&(ys=t,_s.forEach(((e,i)=>{i.currentDevicePixelRatio!==t&&e()})))}function Ms(t,e,i){const s=t.canvas,n=s&&ge(s);if(!n)return;const o=ct(((t,e)=>{const s=n.clientWidth;i(t,e),s{const e=t[0],i=e.contentRect.width,s=e.contentRect.height;0===i&&0===s||o(i,s)}));return a.observe(n),function(t,e){_s.size||window.addEventListener("resize",vs),_s.set(t,e)}(t,o),a}function ws(t,e,i){i&&i.disconnect(),"resize"===e&&function(t){_s.delete(t),_s.size||window.removeEventListener("resize",vs)}(t)}function ks(t,e,i){const s=t.canvas,n=ct((e=>{null!==t.ctx&&i(function(t,e){const i=us[t.type]||t.type,{x:s,y:n}=ve(t,e);return{type:i,chart:e,native:t,x:void 0!==s?s:null,y:void 0!==n?n:null}}(e,t))}),t);return function(t,e,i){t&&t.addEventListener(e,i,gs)}(s,e,n),n}class Ss extends hs{acquireContext(t,e){const i=t&&t.getContext&&t.getContext("2d");return i&&i.canvas===t?(function(t,e){const i=t.style,s=t.getAttribute("height"),n=t.getAttribute("width");if(t[ds]={initial:{height:s,width:n,style:{display:i.display,height:i.height,width:i.width}}},i.display=i.display||"block",i.boxSizing=i.boxSizing||"border-box",fs(n)){const e=Pe(t,"width");void 0!==e&&(t.width=e)}if(fs(s))if(""===t.style.height)t.height=t.width/(e||2);else{const e=Pe(t,"height");void 0!==e&&(t.height=e)}}(t,e),i):null}releaseContext(t){const e=t.canvas;if(!e[ds])return!1;const i=e[ds].initial;["height","width"].forEach((t=>{const n=i[t];s(n)?e.removeAttribute(t):e.setAttribute(t,n)}));const n=i.style||{};return Object.keys(n).forEach((t=>{e.style[t]=n[t]})),e.width=e.width,delete e[ds],!0}addEventListener(t,e,i){this.removeEventListener(t,e);const s=t.$proxies||(t.$proxies={}),n={attach:xs,detach:bs,resize:Ms}[e]||ks;s[e]=n(t,e,i)}removeEventListener(t,e){const i=t.$proxies||(t.$proxies={}),s=i[e];if(!s)return;({attach:ws,detach:ws,resize:ws}[e]||ps)(t,e,s),i[e]=void 0}getDevicePixelRatio(){return window.devicePixelRatio}getMaximumSize(t,e,i,s){return we(t,e,i,s)}isAttached(t){const e=t&&ge(t);return!(!e||!e.isConnected)}}function Ps(t){return!fe()||"undefined"!=typeof OffscreenCanvas&&t instanceof OffscreenCanvas?cs:Ss}var Ds=Object.freeze({__proto__:null,BasePlatform:hs,BasicPlatform:cs,DomPlatform:Ss,_detectPlatform:Ps});const Cs="transparent",Os={boolean:(t,e,i)=>i>.5?e:t,color(t,e,i){const s=Qt(t||Cs),n=s.valid&&Qt(e||Cs);return n&&n.valid?n.mix(s,i).hexString():e},number:(t,e,i)=>t+(e-t)*i};class As{constructor(t,e,i,s){const n=e[i];s=Pi([t.to,s,n,t.from]);const o=Pi([t.from,n,s]);this._active=!0,this._fn=t.fn||Os[t.type||typeof o],this._easing=fi[t.easing]||fi.linear,this._start=Math.floor(Date.now()+(t.delay||0)),this._duration=this._total=Math.floor(t.duration),this._loop=!!t.loop,this._target=e,this._prop=i,this._from=o,this._to=s,this._promises=void 0}active(){return this._active}update(t,e,i){if(this._active){this._notify(!1);const s=this._target[this._prop],n=i-this._start,o=this._duration-n;this._start=i,this._duration=Math.floor(Math.max(o,t.duration)),this._total+=n,this._loop=!!t.loop,this._to=Pi([t.to,e,s,t.from]),this._from=Pi([t.from,s,e])}}cancel(){this._active&&(this.tick(Date.now()),this._active=!1,this._notify(!1))}tick(t){const e=t-this._start,i=this._duration,s=this._prop,n=this._from,o=this._loop,a=this._to;let r;if(this._active=n!==a&&(o||e1?2-r:r,r=this._easing(Math.min(1,Math.max(0,r))),this._target[s]=this._fn(n,a,r))}wait(){const t=this._promises||(this._promises=[]);return new Promise(((e,i)=>{t.push({res:e,rej:i})}))}_notify(t){const e=t?"res":"rej",i=this._promises||[];for(let t=0;t{const a=t[s];if(!o(a))return;const r={};for(const t of e)r[t]=a[t];(n(a.properties)&&a.properties||[s]).forEach((t=>{t!==s&&i.has(t)||i.set(t,r)}))}))}_animateOptions(t,e){const i=e.options,s=function(t,e){if(!e)return;let i=t.options;if(!i)return void(t.options=e);i.$shared&&(t.options=i=Object.assign({},i,{$shared:!1,$animations:{}}));return i}(t,i);if(!s)return[];const n=this._createAnimations(s,i);return i.$shared&&function(t,e){const i=[],s=Object.keys(e);for(let e=0;e{t.options=i}),(()=>{})),n}_createAnimations(t,e){const i=this._properties,s=[],n=t.$animations||(t.$animations={}),o=Object.keys(e),a=Date.now();let r;for(r=o.length-1;r>=0;--r){const l=o[r];if("$"===l.charAt(0))continue;if("options"===l){s.push(...this._animateOptions(t,e));continue}const h=e[l];let c=n[l];const d=i.get(l);if(c){if(d&&c.active()){c.update(d,h,a);continue}c.cancel()}d&&d.duration?(n[l]=c=new As(d,t,l,h),s.push(c)):t[l]=h}return s}update(t,e){if(0===this._properties.size)return void Object.assign(t,e);const i=this._createAnimations(t,e);return i.length?(bt.add(this._chart,i),!0):void 0}}function Ls(t,e){const i=t&&t.options||{},s=i.reverse,n=void 0===i.min?e:0,o=void 0===i.max?e:0;return{start:s?o:n,end:s?n:o}}function Es(t,e){const i=[],s=t._getSortedDatasetMetas(e);let n,o;for(n=0,o=s.length;n0||!i&&e<0)return n.index}return null}function Vs(t,e){const{chart:i,_cachedMeta:s}=t,n=i._stacks||(i._stacks={}),{iScale:o,vScale:a,index:r}=s,l=o.axis,h=a.axis,c=function(t,e,i){return`${t.id}.${e.id}.${i.stack||i.type}`}(o,a,s),d=e.length;let u;for(let t=0;ti[t].axis===e)).shift()}function Ws(t,e){const i=t.controller.index,s=t.vScale&&t.vScale.axis;if(s){e=e||t._parsed;for(const t of e){const e=t._stacks;if(!e||void 0===e[s]||void 0===e[s][i])return;delete e[s][i],void 0!==e[s]._visualValues&&void 0!==e[s]._visualValues[i]&&delete e[s]._visualValues[i]}}}const Ns=t=>"reset"===t||"none"===t,Hs=(t,e)=>e?t:Object.assign({},t);class js{static defaults={};static datasetElementType=null;static dataElementType=null;constructor(t,e){this.chart=t,this._ctx=t.ctx,this.index=e,this._cachedDataOpts={},this._cachedMeta=this.getMeta(),this._type=this._cachedMeta.type,this.options=void 0,this._parsing=!1,this._data=void 0,this._objectData=void 0,this._sharedOptions=void 0,this._drawStart=void 0,this._drawCount=void 0,this.enableOptionSharing=!1,this.supportsDecimation=!1,this.$context=void 0,this._syncList=[],this.datasetElementType=new.target.datasetElementType,this.dataElementType=new.target.dataElementType,this.initialize()}initialize(){const t=this._cachedMeta;this.configure(),this.linkScales(),t._stacked=Is(t.vScale,t),this.addElements(),this.options.fill&&!this.chart.isPluginEnabled("filler")&&console.warn("Tried to use the 'fill' option without the 'Filler' plugin enabled. Please import and register the 'Filler' plugin and make sure it is not disabled in the options")}updateIndex(t){this.index!==t&&Ws(this._cachedMeta),this.index=t}linkScales(){const t=this.chart,e=this._cachedMeta,i=this.getDataset(),s=(t,e,i,s)=>"x"===t?e:"r"===t?s:i,n=e.xAxisID=l(i.xAxisID,Bs(t,"x")),o=e.yAxisID=l(i.yAxisID,Bs(t,"y")),a=e.rAxisID=l(i.rAxisID,Bs(t,"r")),r=e.indexAxis,h=e.iAxisID=s(r,n,o,a),c=e.vAxisID=s(r,o,n,a);e.xScale=this.getScaleForId(n),e.yScale=this.getScaleForId(o),e.rScale=this.getScaleForId(a),e.iScale=this.getScaleForId(h),e.vScale=this.getScaleForId(c)}getDataset(){return this.chart.data.datasets[this.index]}getMeta(){return this.chart.getDatasetMeta(this.index)}getScaleForId(t){return this.chart.scales[t]}_getOtherScale(t){const e=this._cachedMeta;return t===e.iScale?e.vScale:e.iScale}reset(){this._update("reset")}_destroy(){const t=this._cachedMeta;this._data&&rt(this._data,this),t._stacked&&Ws(t)}_dataCheck(){const t=this.getDataset(),e=t.data||(t.data=[]),i=this._data;if(o(e)){const t=this._cachedMeta;this._data=function(t,e){const{iScale:i,vScale:s}=e,n="x"===i.axis?"x":"y",o="x"===s.axis?"x":"y",a=Object.keys(t),r=new Array(a.length);let l,h,c;for(l=0,h=a.length;l0&&i._parsed[t-1];if(!1===this._parsing)i._parsed=s,i._sorted=!0,d=s;else{d=n(s[t])?this.parseArrayData(i,s,t,e):o(s[t])?this.parseObjectData(i,s,t,e):this.parsePrimitiveData(i,s,t,e);const a=()=>null===c[l]||f&&c[l]t&&!e.hidden&&e._stacked&&{keys:Es(i,!0),values:null})(e,i,this.chart),h={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY},{min:c,max:d}=function(t){const{min:e,max:i,minDefined:s,maxDefined:n}=t.getUserBounds();return{min:s?e:Number.NEGATIVE_INFINITY,max:n?i:Number.POSITIVE_INFINITY}}(r);let u,f;function g(){f=s[u];const e=f[r.axis];return!a(f[t.axis])||c>e||d=0;--u)if(!g()){this.updateRangeFromParsed(h,t,f,l);break}return h}getAllParsedValues(t){const e=this._cachedMeta._parsed,i=[];let s,n,o;for(s=0,n=e.length;s=0&&tthis.getContext(i,s,e)),c);return f.$shared&&(f.$shared=r,n[o]=Object.freeze(Hs(f,r))),f}_resolveAnimations(t,e,i){const s=this.chart,n=this._cachedDataOpts,o=`animation-${e}`,a=n[o];if(a)return a;let r;if(!1!==s.options.animation){const s=this.chart.config,n=s.datasetAnimationScopeKeys(this._type,e),o=s.getOptionScopes(this.getDataset(),n);r=s.createResolver(o,this.getContext(t,i,e))}const l=new Ts(s,r&&r.animations);return r&&r._cacheable&&(n[o]=Object.freeze(l)),l}getSharedOptions(t){if(t.$shared)return this._sharedOptions||(this._sharedOptions=Object.assign({},t))}includeOptions(t,e){return!e||Ns(t)||this.chart._animationsDisabled}_getSharedOptions(t,e){const i=this.resolveDataElementOptions(t,e),s=this._sharedOptions,n=this.getSharedOptions(i),o=this.includeOptions(e,n)||n!==s;return this.updateSharedOptions(n,e,i),{sharedOptions:n,includeOptions:o}}updateElement(t,e,i,s){Ns(s)?Object.assign(t,i):this._resolveAnimations(e,s).update(t,i)}updateSharedOptions(t,e,i){t&&!Ns(e)&&this._resolveAnimations(void 0,e).update(t,i)}_setStyle(t,e,i,s){t.active=s;const n=this.getStyle(e,s);this._resolveAnimations(e,i,s).update(t,{options:!s&&this.getSharedOptions(n)||n})}removeHoverStyle(t,e,i){this._setStyle(t,i,"active",!1)}setHoverStyle(t,e,i){this._setStyle(t,i,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,i=this._cachedMeta.data;for(const[t,e,i]of this._syncList)this[t](e,i);this._syncList=[];const s=i.length,n=e.length,o=Math.min(n,s);o&&this.parse(0,o),n>s?this._insertElements(s,n-s,t):n{for(t.length+=e,a=t.length-1;a>=o;a--)t[a]=t[a-e]};for(r(n),a=t;a{s[t]=i[t]&&i[t].active()?i[t]._to:this[t]})),s}}function Ys(t,e){const i=t.options.ticks,n=function(t){const e=t.options.offset,i=t._tickSize(),s=t._length/i+(e?0:1),n=t._maxLength/i;return Math.floor(Math.min(s,n))}(t),o=Math.min(i.maxTicksLimit||n,n),a=i.major.enabled?function(t){const e=[];let i,s;for(i=0,s=t.length;io)return function(t,e,i,s){let n,o=0,a=i[0];for(s=Math.ceil(s),n=0;nn)return e}return Math.max(n,1)}(a,e,o);if(r>0){let t,i;const n=r>1?Math.round((h-l)/(r-1)):null;for(Us(e,c,d,s(n)?0:l-n,l),t=0,i=r-1;t"top"===e||"left"===e?t[e]+i:t[e]-i,qs=(t,e)=>Math.min(e||t,t);function Ks(t,e){const i=[],s=t.length/e,n=t.length;let o=0;for(;oa+r)))return h}function Js(t){return t.drawTicks?t.tickLength:0}function Zs(t,e){if(!t.display)return 0;const 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0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:i,_suggestedMax:s}=this;return t=r(t,Number.POSITIVE_INFINITY),e=r(e,Number.NEGATIVE_INFINITY),i=r(i,Number.POSITIVE_INFINITY),s=r(s,Number.NEGATIVE_INFINITY),{min:r(t,i),max:r(e,s),minDefined:a(t),maxDefined:a(e)}}getMinMax(t){let e,{min:i,max:s,minDefined:n,maxDefined:o}=this.getUserBounds();if(n&&o)return{min:i,max:s};const a=this.getMatchingVisibleMetas();for(let r=0,l=a.length;rs?s:i,s=n&&i>s?i:s,{min:r(i,r(s,i)),max:r(s,r(i,s))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){d(this.options.beforeUpdate,[this])}update(t,e,i){const{beginAtZero:s,grace:n,ticks:o}=this.options,a=o.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=i=Object.assign({left:0,right:0,top:0,bottom:0},i),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+i.left+i.right:this.height+i.top+i.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=Di(this,n,s),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const r=a=n||i<=1||!this.isHorizontal())return void(this.labelRotation=s);const h=this._getLabelSizes(),c=h.widest.width,d=h.highest.height,u=Z(this.chart.width-c,0,this.maxWidth);o=t.offset?this.maxWidth/i:u/(i-1),c+6>o&&(o=u/(i-(t.offset?.5:1)),a=this.maxHeight-Js(t.grid)-e.padding-Zs(t.title,this.chart.options.font),r=Math.sqrt(c*c+d*d),l=Y(Math.min(Math.asin(Z((h.highest.height+6)/o,-1,1)),Math.asin(Z(a/r,-1,1))-Math.asin(Z(d/r,-1,1)))),l=Math.max(s,Math.min(n,l))),this.labelRotation=l}afterCalculateLabelRotation(){d(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){d(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:i,title:s,grid:n}}=this,o=this._isVisible(),a=this.isHorizontal();if(o){const o=Zs(s,e.options.font);if(a?(t.width=this.maxWidth,t.height=Js(n)+o):(t.height=this.maxHeight,t.width=Js(n)+o),i.display&&this.ticks.length){const{first:e,last:s,widest:n,highest:o}=this._getLabelSizes(),r=2*i.padding,l=$(this.labelRotation),h=Math.cos(l),c=Math.sin(l);if(a){const e=i.mirror?0:c*n.width+h*o.height;t.height=Math.min(this.maxHeight,t.height+e+r)}else{const e=i.mirror?0:h*n.width+c*o.height;t.width=Math.min(this.maxWidth,t.width+e+r)}this._calculatePadding(e,s,c,h)}}this._handleMargins(),a?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,i,s){const{ticks:{align:n,padding:o},position:a}=this.options,r=0!==this.labelRotation,l="top"!==a&&"x"===this.axis;if(this.isHorizontal()){const a=this.getPixelForTick(0)-this.left,h=this.right-this.getPixelForTick(this.ticks.length-1);let c=0,d=0;r?l?(c=s*t.width,d=i*e.height):(c=i*t.height,d=s*e.width):"start"===n?d=e.width:"end"===n?c=t.width:"inner"!==n&&(c=t.width/2,d=e.width/2),this.paddingLeft=Math.max((c-a+o)*this.width/(this.width-a),0),this.paddingRight=Math.max((d-h+o)*this.width/(this.width-h),0)}else{let i=e.height/2,s=t.height/2;"start"===n?(i=0,s=t.height):"end"===n&&(i=e.height,s=0),this.paddingTop=i+o,this.paddingBottom=s+o}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){d(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,i;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,i=t.length;e{const i=t.gc,s=i.length/2;let n;if(s>e){for(n=0;n({width:r[t]||0,height:l[t]||0});return{first:P(0),last:P(e-1),widest:P(k),highest:P(S),widths:r,heights:l}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Q(this._alignToPixels?Ae(this.chart,e,0):e)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&ta*s?a/i:r/s:r*s0}_computeGridLineItems(t){const e=this.axis,i=this.chart,s=this.options,{grid:n,position:a,border:r}=s,h=n.offset,c=this.isHorizontal(),d=this.ticks.length+(h?1:0),u=Js(n),f=[],g=r.setContext(this.getContext()),p=g.display?g.width:0,m=p/2,x=function(t){return Ae(i,t,p)};let b,_,y,v,M,w,k,S,P,D,C,O;if("top"===a)b=x(this.bottom),w=this.bottom-u,S=b-m,D=x(t.top)+m,O=t.bottom;else if("bottom"===a)b=x(this.top),D=t.top,O=x(t.bottom)-m,w=b+m,S=this.top+u;else if("left"===a)b=x(this.right),M=this.right-u,k=b-m,P=x(t.left)+m,C=t.right;else if("right"===a)b=x(this.left),P=t.left,C=x(t.right)-m,M=b+m,k=this.left+u;else if("x"===e){if("center"===a)b=x((t.top+t.bottom)/2+.5);else if(o(a)){const t=Object.keys(a)[0],e=a[t];b=x(this.chart.scales[t].getPixelForValue(e))}D=t.top,O=t.bottom,w=b+m,S=w+u}else if("y"===e){if("center"===a)b=x((t.left+t.right)/2);else if(o(a)){const t=Object.keys(a)[0],e=a[t];b=x(this.chart.scales[t].getPixelForValue(e))}M=b-m,k=M-u,P=t.left,C=t.right}const A=l(s.ticks.maxTicksLimit,d),T=Math.max(1,Math.ceil(d/A));for(_=0;_0&&(o-=s/2)}d={left:o,top:n,width:s+e.width,height:i+e.height,color:t.backdropColor}}x.push({label:v,font:P,textOffset:O,options:{rotation:m,color:i,strokeColor:o,strokeWidth:h,textAlign:f,textBaseline:A,translation:[M,w],backdrop:d}})}return x}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-$(this.labelRotation))return"top"===t?"left":"right";let i="center";return"start"===e.align?i="left":"end"===e.align?i="right":"inner"===e.align&&(i="inner"),i}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:i,mirror:s,padding:n}}=this.options,o=t+n,a=this._getLabelSizes().widest.width;let r,l;return"left"===e?s?(l=this.right+n,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l+=a)):(l=this.right-o,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l=this.left)):"right"===e?s?(l=this.left+n,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l-=a)):(l=this.left+o,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l=this.right)):r="right",{textAlign:r,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const t=this.chart,e=this.options.position;return"left"===e||"right"===e?{top:0,left:this.left,bottom:t.height,right:this.right}:"top"===e||"bottom"===e?{top:this.top,left:0,bottom:this.bottom,right:t.width}:void 0}drawBackground(){const{ctx:t,options:{backgroundColor:e},left:i,top:s,width:n,height:o}=this;e&&(t.save(),t.fillStyle=e,t.fillRect(i,s,n,o),t.restore())}getLineWidthForValue(t){const e=this.options.grid;if(!this._isVisible()||!e.display)return 0;const i=this.ticks.findIndex((e=>e.value===t));if(i>=0){return e.setContext(this.getContext(i)).lineWidth}return 0}drawGrid(t){const e=this.options.grid,i=this.ctx,s=this._gridLineItems||(this._gridLineItems=this._computeGridLineItems(t));let n,o;const a=(t,e,s)=>{s.width&&s.color&&(i.save(),i.lineWidth=s.width,i.strokeStyle=s.color,i.setLineDash(s.borderDash||[]),i.lineDashOffset=s.borderDashOffset,i.beginPath(),i.moveTo(t.x,t.y),i.lineTo(e.x,e.y),i.stroke(),i.restore())};if(e.display)for(n=0,o=s.length;n{this.drawBackground(),this.drawGrid(t),this.drawTitle()}},{z:s,draw:()=>{this.drawBorder()}},{z:e,draw:t=>{this.drawLabels(t)}}]:[{z:e,draw:t=>{this.draw(t)}}]}getMatchingVisibleMetas(t){const e=this.chart.getSortedVisibleDatasetMetas(),i=this.axis+"AxisID",s=[];let n,o;for(n=0,o=e.length;n{const s=i.split("."),n=s.pop(),o=[t].concat(s).join("."),a=e[i].split("."),r=a.pop(),l=a.join(".");ue.route(o,n,l,r)}))}(e,t.defaultRoutes);t.descriptors&&ue.describe(e,t.descriptors)}(t,o,i),this.override&&ue.override(t.id,t.overrides)),o}get(t){return this.items[t]}unregister(t){const e=this.items,i=t.id,s=this.scope;i in e&&delete e[i],s&&i in ue[s]&&(delete ue[s][i],this.override&&delete re[i])}}class sn{constructor(){this.controllers=new en(js,"datasets",!0),this.elements=new en($s,"elements"),this.plugins=new en(Object,"plugins"),this.scales=new en(tn,"scales"),this._typedRegistries=[this.controllers,this.scales,this.elements]}add(...t){this._each("register",t)}remove(...t){this._each("unregister",t)}addControllers(...t){this._each("register",t,this.controllers)}addElements(...t){this._each("register",t,this.elements)}addPlugins(...t){this._each("register",t,this.plugins)}addScales(...t){this._each("register",t,this.scales)}getController(t){return this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,i){[...e].forEach((e=>{const s=i||this._getRegistryForType(e);i||s.isForType(e)||s===this.plugins&&e.id?this._exec(t,s,e):u(e,(e=>{const s=i||this._getRegistryForType(e);this._exec(t,s,e)}))}))}_exec(t,e,i){const s=w(t);d(i["before"+s],[],i),e[t](i),d(i["after"+s],[],i)}_getRegistryForType(t){for(let e=0;et.filter((t=>!e.some((e=>t.plugin.id===e.plugin.id))));this._notify(s(e,i),t,"stop"),this._notify(s(i,e),t,"start")}}function an(t,e){return e||!1!==t?!0===t?{}:t:null}function rn(t,{plugin:e,local:i},s,n){const o=t.pluginScopeKeys(e),a=t.getOptionScopes(s,o);return i&&e.defaults&&a.push(e.defaults),t.createResolver(a,n,[""],{scriptable:!1,indexable:!1,allKeys:!0})}function ln(t,e){const i=ue.datasets[t]||{};return((e.datasets||{})[t]||{}).indexAxis||e.indexAxis||i.indexAxis||"x"}function hn(t){if("x"===t||"y"===t||"r"===t)return t}function cn(t,...e){if(hn(t))return t;for(const s of e){const e=s.axis||("top"===(i=s.position)||"bottom"===i?"x":"left"===i||"right"===i?"y":void 0)||t.length>1&&hn(t[0].toLowerCase());if(e)return e}var i;throw new Error(`Cannot determine type of '${t}' axis. Please provide 'axis' or 'position' option.`)}function dn(t,e,i){if(i[e+"AxisID"]===t)return{axis:e}}function un(t,e){const i=re[t.type]||{scales:{}},s=e.scales||{},n=ln(t.type,e),a=Object.create(null);return Object.keys(s).forEach((e=>{const r=s[e];if(!o(r))return console.error(`Invalid scale configuration for scale: ${e}`);if(r._proxy)return console.warn(`Ignoring resolver passed as options for scale: ${e}`);const l=cn(e,r,function(t,e){if(e.data&&e.data.datasets){const i=e.data.datasets.filter((e=>e.xAxisID===t||e.yAxisID===t));if(i.length)return dn(t,"x",i[0])||dn(t,"y",i[0])}return{}}(e,t),ue.scales[r.type]),h=function(t,e){return t===e?"_index_":"_value_"}(l,n),c=i.scales||{};a[e]=b(Object.create(null),[{axis:l},r,c[l],c[h]])})),t.data.datasets.forEach((i=>{const n=i.type||t.type,o=i.indexAxis||ln(n,e),r=(re[n]||{}).scales||{};Object.keys(r).forEach((t=>{const e=function(t,e){let i=t;return"_index_"===t?i=e:"_value_"===t&&(i="x"===e?"y":"x"),i}(t,o),n=i[e+"AxisID"]||e;a[n]=a[n]||Object.create(null),b(a[n],[{axis:e},s[n],r[t]])}))})),Object.keys(a).forEach((t=>{const e=a[t];b(e,[ue.scales[e.type],ue.scale])})),a}function fn(t){const e=t.options||(t.options={});e.plugins=l(e.plugins,{}),e.scales=un(t,e)}function gn(t){return(t=t||{}).datasets=t.datasets||[],t.labels=t.labels||[],t}const pn=new Map,mn=new Set;function xn(t,e){let i=pn.get(t);return i||(i=e(),pn.set(t,i),mn.add(i)),i}const bn=(t,e,i)=>{const s=M(e,i);void 0!==s&&t.add(s)};class _n{constructor(t){this._config=function(t){return(t=t||{}).data=gn(t.data),fn(t),t}(t),this._scopeCache=new Map,this._resolverCache=new Map}get platform(){return this._config.platform}get type(){return this._config.type}set type(t){this._config.type=t}get data(){return this._config.data}set data(t){this._config.data=gn(t)}get options(){return this._config.options}set options(t){this._config.options=t}get plugins(){return this._config.plugins}update(){const t=this._config;this.clearCache(),fn(t)}clearCache(){this._scopeCache.clear(),this._resolverCache.clear()}datasetScopeKeys(t){return xn(t,(()=>[[`datasets.${t}`,""]]))}datasetAnimationScopeKeys(t,e){return xn(`${t}.transition.${e}`,(()=>[[`datasets.${t}.transitions.${e}`,`transitions.${e}`],[`datasets.${t}`,""]]))}datasetElementScopeKeys(t,e){return xn(`${t}-${e}`,(()=>[[`datasets.${t}.elements.${e}`,`datasets.${t}`,`elements.${e}`,""]]))}pluginScopeKeys(t){const e=t.id;return xn(`${this.type}-plugin-${e}`,(()=>[[`plugins.${e}`,...t.additionalOptionScopes||[]]]))}_cachedScopes(t,e){const i=this._scopeCache;let s=i.get(t);return s&&!e||(s=new Map,i.set(t,s)),s}getOptionScopes(t,e,i){const{options:s,type:n}=this,o=this._cachedScopes(t,i),a=o.get(e);if(a)return a;const r=new Set;e.forEach((e=>{t&&(r.add(t),e.forEach((e=>bn(r,t,e)))),e.forEach((t=>bn(r,s,t))),e.forEach((t=>bn(r,re[n]||{},t))),e.forEach((t=>bn(r,ue,t))),e.forEach((t=>bn(r,le,t)))}));const l=Array.from(r);return 0===l.length&&l.push(Object.create(null)),mn.has(e)&&o.set(e,l),l}chartOptionScopes(){const{options:t,type:e}=this;return[t,re[e]||{},ue.datasets[e]||{},{type:e},ue,le]}resolveNamedOptions(t,e,i,s=[""]){const o={$shared:!0},{resolver:a,subPrefixes:r}=yn(this._resolverCache,t,s);let l=a;if(function(t,e){const{isScriptable:i,isIndexable:s}=Ye(t);for(const o of e){const e=i(o),a=s(o),r=(a||e)&&t[o];if(e&&(S(r)||vn(r))||a&&n(r))return!0}return!1}(a,e)){o.$shared=!1;l=$e(a,i=S(i)?i():i,this.createResolver(t,i,r))}for(const t of e)o[t]=l[t];return o}createResolver(t,e,i=[""],s){const{resolver:n}=yn(this._resolverCache,t,i);return o(e)?$e(n,e,void 0,s):n}}function yn(t,e,i){let s=t.get(e);s||(s=new Map,t.set(e,s));const n=i.join();let o=s.get(n);if(!o){o={resolver:je(e,i),subPrefixes:i.filter((t=>!t.toLowerCase().includes("hover")))},s.set(n,o)}return o}const vn=t=>o(t)&&Object.getOwnPropertyNames(t).some((e=>S(t[e])));const Mn=["top","bottom","left","right","chartArea"];function wn(t,e){return"top"===t||"bottom"===t||-1===Mn.indexOf(t)&&"x"===e}function kn(t,e){return function(i,s){return i[t]===s[t]?i[e]-s[e]:i[t]-s[t]}}function Sn(t){const e=t.chart,i=e.options.animation;e.notifyPlugins("afterRender"),d(i&&i.onComplete,[t],e)}function Pn(t){const e=t.chart,i=e.options.animation;d(i&&i.onProgress,[t],e)}function Dn(t){return fe()&&"string"==typeof t?t=document.getElementById(t):t&&t.length&&(t=t[0]),t&&t.canvas&&(t=t.canvas),t}const Cn={},On=t=>{const e=Dn(t);return Object.values(Cn).filter((t=>t.canvas===e)).pop()};function An(t,e,i){const s=Object.keys(t);for(const n of s){const s=+n;if(s>=e){const o=t[n];delete t[n],(i>0||s>e)&&(t[s+i]=o)}}}class Tn{static defaults=ue;static instances=Cn;static overrides=re;static registry=nn;static version="4.5.1";static getChart=On;static register(...t){nn.add(...t),Ln()}static unregister(...t){nn.remove(...t),Ln()}constructor(t,e){const s=this.config=new _n(e),n=Dn(t),o=On(n);if(o)throw new Error("Canvas is already in use. Chart with ID '"+o.id+"' must be destroyed before the canvas with ID '"+o.canvas.id+"' can be reused.");const a=s.createResolver(s.chartOptionScopes(),this.getContext());this.platform=new(s.platform||Ps(n)),this.platform.updateConfig(s);const r=this.platform.acquireContext(n,a.aspectRatio),l=r&&r.canvas,h=l&&l.height,c=l&&l.width;this.id=i(),this.ctx=r,this.canvas=l,this.width=c,this.height=h,this._options=a,this._aspectRatio=this.aspectRatio,this._layers=[],this._metasets=[],this._stacks=void 0,this.boxes=[],this.currentDevicePixelRatio=void 0,this.chartArea=void 0,this._active=[],this._lastEvent=void 0,this._listeners={},this._responsiveListeners=void 0,this._sortedMetasets=[],this.scales={},this._plugins=new on,this.$proxies={},this._hiddenIndices={},this.attached=!1,this._animationsDisabled=void 0,this.$context=void 0,this._doResize=dt((t=>this.update(t)),a.resizeDelay||0),this._dataChanges=[],Cn[this.id]=this,r&&l?(bt.listen(this,"complete",Sn),bt.listen(this,"progress",Pn),this._initialize(),this.attached&&this.update()):console.error("Failed to create chart: can't acquire context from the given item")}get aspectRatio(){const{options:{aspectRatio:t,maintainAspectRatio:e},width:i,height:n,_aspectRatio:o}=this;return s(t)?e&&o?o:n?i/n:null:t}get data(){return this.config.data}set data(t){this.config.data=t}get options(){return this._options}set options(t){this.config.options=t}get registry(){return nn}_initialize(){return this.notifyPlugins("beforeInit"),this.options.responsive?this.resize():ke(this,this.options.devicePixelRatio),this.bindEvents(),this.notifyPlugins("afterInit"),this}clear(){return Te(this.canvas,this.ctx),this}stop(){return bt.stop(this),this}resize(t,e){bt.running(this)?this._resizeBeforeDraw={width:t,height:e}:this._resize(t,e)}_resize(t,e){const i=this.options,s=this.canvas,n=i.maintainAspectRatio&&this.aspectRatio,o=this.platform.getMaximumSize(s,t,e,n),a=i.devicePixelRatio||this.platform.getDevicePixelRatio(),r=this.width?"resize":"attach";this.width=o.width,this.height=o.height,this._aspectRatio=this.aspectRatio,ke(this,a,!0)&&(this.notifyPlugins("resize",{size:o}),d(i.onResize,[this,o],this),this.attached&&this._doResize(r)&&this.render())}ensureScalesHaveIDs(){u(this.options.scales||{},((t,e)=>{t.id=e}))}buildOrUpdateScales(){const t=this.options,e=t.scales,i=this.scales,s=Object.keys(i).reduce(((t,e)=>(t[e]=!1,t)),{});let n=[];e&&(n=n.concat(Object.keys(e).map((t=>{const i=e[t],s=cn(t,i),n="r"===s,o="x"===s;return{options:i,dposition:n?"chartArea":o?"bottom":"left",dtype:n?"radialLinear":o?"category":"linear"}})))),u(n,(e=>{const n=e.options,o=n.id,a=cn(o,n),r=l(n.type,e.dtype);void 0!==n.position&&wn(n.position,a)===wn(e.dposition)||(n.position=e.dposition),s[o]=!0;let h=null;if(o in i&&i[o].type===r)h=i[o];else{h=new(nn.getScale(r))({id:o,type:r,ctx:this.ctx,chart:this}),i[h.id]=h}h.init(n,t)})),u(s,((t,e)=>{t||delete i[e]})),u(i,(t=>{ls.configure(this,t,t.options),ls.addBox(this,t)}))}_updateMetasets(){const t=this._metasets,e=this.data.datasets.length,i=t.length;if(t.sort(((t,e)=>t.index-e.index)),i>e){for(let t=e;te.length&&delete this._stacks,t.forEach(((t,i)=>{0===e.filter((e=>e===t._dataset)).length&&this._destroyDatasetMeta(i)}))}buildOrUpdateControllers(){const t=[],e=this.data.datasets;let i,s;for(this._removeUnreferencedMetasets(),i=0,s=e.length;i{this.getDatasetMeta(e).controller.reset()}),this)}reset(){this._resetElements(),this.notifyPlugins("reset")}update(t){const e=this.config;e.update();const i=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),s=this._animationsDisabled=!i.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const n=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let o=0;for(let t=0,e=this.data.datasets.length;t{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(kn("z","_idx"));const{_active:a,_lastEvent:r}=this;r?this._eventHandler(r,!0):a.length&&this._updateHoverStyles(a,a,!0),this.render()}_updateScales(){u(this.scales,(t=>{ls.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),i=new Set(t.events);P(e,i)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:i,start:s,count:n}of e){An(t,s,"_removeElements"===i?-n:n)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,i=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),s=i(0);for(let t=1;tt.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;ls.update(this,this.width,this.height,t);const e=this.chartArea,i=e.width<=0||e.height<=0;this._layers=[],u(this.boxes,(t=>{i&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,i={meta:t,index:t.index,cancelable:!0},s=Ni(this,t);!1!==this.notifyPlugins("beforeDatasetDraw",i)&&(s&&Ie(e,s),t.controller.draw(),s&&ze(e),i.cancelable=!1,this.notifyPlugins("afterDatasetDraw",i))}isPointInArea(t){return Re(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,i,s){const n=Ki.modes[e];return"function"==typeof n?n(this,t,i,s):[]}getDatasetMeta(t){const e=this.data.datasets[t],i=this._metasets;let s=i.filter((t=>t&&t._dataset===e)).pop();return s||(s={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},i.push(s)),s}getContext(){return this.$context||(this.$context=Ci(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const i=this.getDatasetMeta(t);return"boolean"==typeof i.hidden?!i.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,i){const s=i?"show":"hide",n=this.getDatasetMeta(t),o=n.controller._resolveAnimations(void 0,s);k(e)?(n.data[e].hidden=!i,this.update()):(this.setDatasetVisibility(t,i),o.update(n,{visible:i}),this.update((e=>e.datasetIndex===t?s:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),bt.remove(this),t=0,e=this.data.datasets.length;t{e.addEventListener(this,i,s),t[i]=s},s=(t,e,i)=>{t.offsetX=e,t.offsetY=i,this._eventHandler(t)};u(this.options.events,(t=>i(t,s)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,i=(i,s)=>{e.addEventListener(this,i,s),t[i]=s},s=(i,s)=>{t[i]&&(e.removeEventListener(this,i,s),delete t[i])},n=(t,e)=>{this.canvas&&this.resize(t,e)};let o;const a=()=>{s("attach",a),this.attached=!0,this.resize(),i("resize",n),i("detach",o)};o=()=>{this.attached=!1,s("resize",n),this._stop(),this._resize(0,0),i("attach",a)},e.isAttached(this.canvas)?a():o()}unbindEvents(){u(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},u(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,i){const s=i?"set":"remove";let n,o,a,r;for("dataset"===e&&(n=this.getDatasetMeta(t[0].datasetIndex),n.controller["_"+s+"DatasetHoverStyle"]()),a=0,r=t.length;a{const i=this.getDatasetMeta(t);if(!i)throw new Error("No dataset found at index "+t);return{datasetIndex:t,element:i.data[e],index:e}}));!f(i,e)&&(this._active=i,this._lastEvent=null,this._updateHoverStyles(i,e))}notifyPlugins(t,e,i){return this._plugins.notify(this,t,e,i)}isPluginEnabled(t){return 1===this._plugins._cache.filter((e=>e.plugin.id===t)).length}_updateHoverStyles(t,e,i){const s=this.options.hover,n=(t,e)=>t.filter((t=>!e.some((e=>t.datasetIndex===e.datasetIndex&&t.index===e.index)))),o=n(e,t),a=i?t:n(t,e);o.length&&this.updateHoverStyle(o,s.mode,!1),a.length&&s.mode&&this.updateHoverStyle(a,s.mode,!0)}_eventHandler(t,e){const i={event:t,replay:e,cancelable:!0,inChartArea:this.isPointInArea(t)},s=e=>(e.options.events||this.options.events).includes(t.native.type);if(!1===this.notifyPlugins("beforeEvent",i,s))return;const n=this._handleEvent(t,e,i.inChartArea);return i.cancelable=!1,this.notifyPlugins("afterEvent",i,s),(n||i.changed)&&this.render(),this}_handleEvent(t,e,i){const{_active:s=[],options:n}=this,o=e,a=this._getActiveElements(t,s,i,o),r=D(t),l=function(t,e,i,s){return i&&"mouseout"!==t.type?s?e:t:null}(t,this._lastEvent,i,r);i&&(this._lastEvent=null,d(n.onHover,[t,a,this],this),r&&d(n.onClick,[t,a,this],this));const h=!f(a,s);return(h||e)&&(this._active=a,this._updateHoverStyles(a,s,e)),this._lastEvent=l,h}_getActiveElements(t,e,i,s){if("mouseout"===t.type)return[];if(!i)return e;const n=this.options.hover;return this.getElementsAtEventForMode(t,n.mode,n,s)}}function Ln(){return u(Tn.instances,(t=>t._plugins.invalidate()))}function En(){throw new Error("This method is not implemented: Check that a complete date adapter is provided.")}class Rn{static override(t){Object.assign(Rn.prototype,t)}options;constructor(t){this.options=t||{}}init(){}formats(){return En()}parse(){return En()}format(){return En()}add(){return En()}diff(){return En()}startOf(){return En()}endOf(){return En()}}var In={_date:Rn};function zn(t){const e=t.iScale,i=function(t,e){if(!t._cache.$bar){const i=t.getMatchingVisibleMetas(e);let s=[];for(let e=0,n=i.length;et-e)))}return t._cache.$bar}(e,t.type);let s,n,o,a,r=e._length;const l=()=>{32767!==o&&-32768!==o&&(k(a)&&(r=Math.min(r,Math.abs(o-a)||r)),a=o)};for(s=0,n=i.length;sMath.abs(r)&&(l=r,h=a),e[i.axis]=h,e._custom={barStart:l,barEnd:h,start:n,end:o,min:a,max:r}}(t,e,i,s):e[i.axis]=i.parse(t,s),e}function Vn(t,e,i,s){const n=t.iScale,o=t.vScale,a=n.getLabels(),r=n===o,l=[];let h,c,d,u;for(h=i,c=i+s;ht.x,i="left",s="right"):(e=t.base"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data,{labels:{pointStyle:i,textAlign:s,color:n,useBorderRadius:o,borderRadius:a}}=t.legend.options;return e.labels.length&&e.datasets.length?e.labels.map(((e,r)=>{const l=t.getDatasetMeta(0).controller.getStyle(r);return{text:e,fillStyle:l.backgroundColor,fontColor:n,hidden:!t.getDataVisibility(r),lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:l.borderWidth,strokeStyle:l.borderColor,textAlign:s,pointStyle:i,borderRadius:o&&(a||l.borderRadius),index:r}})):[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const i=this.getDataset().data,s=this._cachedMeta;if(!1===this._parsing)s._parsed=i;else{let n,a,r=t=>+i[t];if(o(i[t])){const{key:t="value"}=this._parsing;r=e=>+M(i[e],t)}for(n=t,a=t+e;nJ(t,r,l,!0)?1:Math.max(e,e*i,s,s*i),g=(t,e,s)=>J(t,r,l,!0)?-1:Math.min(e,e*i,s,s*i),p=f(0,h,d),m=f(E,c,u),x=g(C,h,d),b=g(C+E,c,u);s=(p-x)/2,n=(m-b)/2,o=-(p+x)/2,a=-(m+b)/2}return{ratioX:s,ratioY:n,offsetX:o,offsetY:a}}(u,d,r),x=(i.width-o)/f,b=(i.height-o)/g,_=Math.max(Math.min(x,b)/2,0),y=c(this.options.radius,_),v=(y-Math.max(y*r,0))/this._getVisibleDatasetWeightTotal();this.offsetX=p*y,this.offsetY=m*y,s.total=this.calculateTotal(),this.outerRadius=y-v*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-v*l,0),this.updateElements(n,0,n.length,t)}_circumference(t,e){const i=this.options,s=this._cachedMeta,n=this._getCircumference();return e&&i.animation.animateRotate||!this.chart.getDataVisibility(t)||null===s._parsed[t]||s.data[t].hidden?0:this.calculateCircumference(s._parsed[t]*n/O)}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.chartArea,r=o.options.animation,l=(a.left+a.right)/2,h=(a.top+a.bottom)/2,c=n&&r.animateScale,d=c?0:this.innerRadius,u=c?0:this.outerRadius,{sharedOptions:f,includeOptions:g}=this._getSharedOptions(e,s);let p,m=this._getRotation();for(p=0;p0&&!isNaN(t)?O*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t],i.options.locale);return{label:s[t]||"",value:n}}getMaxBorderWidth(t){let e=0;const i=this.chart;let s,n,o,a,r;if(!t)for(s=0,n=i.data.datasets.length;s{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t].r,i.options.locale);return{label:s[t]||"",value:n}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,i)=>{const s=this.getParsed(i).r;!isNaN(s)&&this.chart.getDataVisibility(i)&&(se.max&&(e.max=s))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,i=t.options,s=Math.min(e.right-e.left,e.bottom-e.top),n=Math.max(s/2,0),o=(n-Math.max(i.cutoutPercentage?n/100*i.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=n-o*this.index,this.innerRadius=this.outerRadius-o}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.options.animation,r=this._cachedMeta.rScale,l=r.xCenter,h=r.yCenter,c=r.getIndexAngle(0)-.5*C;let d,u=c;const f=360/this.countVisibleElements();for(d=0;d{!isNaN(this.getParsed(i).r)&&this.chart.getDataVisibility(i)&&e++})),e}_computeAngle(t,e,i){return this.chart.getDataVisibility(t)?$(this.resolveDataElementOptions(t,e).angle||i):0}}var Un=Object.freeze({__proto__:null,BarController:class extends js{static id="bar";static 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0,t).length}_getAxisCount(){return this._getAxis().length}getFirstScaleIdForIndexAxis(){const t=this.chart.scales,e=this.chart.options.indexAxis;return Object.keys(t).filter((i=>t[i].axis===e)).shift()}_getAxis(){const t={},e=this.getFirstScaleIdForIndexAxis();for(const i of this.chart.data.datasets)t[l("x"===this.chart.options.indexAxis?i.xAxisID:i.yAxisID,e)]=!0;return Object.keys(t)}_getStackIndex(t,e,i){const s=this._getStacks(t,i),n=void 0!==e?s.indexOf(e):-1;return-1===n?s.length-1:n}_getRuler(){const t=this.options,e=this._cachedMeta,i=e.iScale,s=[];let n,o;for(n=0,o=e.data.length;n=i?1:-1)}(u,e,r)*a,f===r&&(x-=u/2);const t=e.getPixelForDecimal(0),s=e.getPixelForDecimal(1),o=Math.min(t,s),h=Math.max(t,s);x=Math.max(Math.min(x,h),o),d=x+u,i&&!c&&(l._stacks[e.axis]._visualValues[n]=e.getValueForPixel(d)-e.getValueForPixel(x))}if(x===e.getPixelForValue(r)){const 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defaults={datasetElementType:"line",dataElementType:"point",indexAxis:"r",showLine:!0,elements:{line:{fill:"start"}}};static overrides={aspectRatio:1,scales:{r:{type:"radialLinear"}}};getLabelAndValue(t){const e=this._cachedMeta.vScale,i=this.getParsed(t);return{label:e.getLabels()[t],value:""+e.getLabelForValue(i[e.axis])}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta,i=e.dataset,s=e.data||[],n=e.iScale.getLabels();if(i.points=s,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const o={_loop:!0,_fullLoop:n.length===s.length,options:e};this.updateElement(i,void 0,o,t)}this.updateElements(s,0,s.length,t)}updateElements(t,e,i,s){const n=this._cachedMeta.rScale,o="reset"===s;for(let a=e;a0&&this.getParsed(e-1);for(let c=e;c0&&Math.abs(i[f]-_[f])>x,m&&(p.parsed=i,p.raw=h.data[c]),u&&(p.options=d||this.resolveDataElementOptions(c,e.active?"active":n)),b||this.updateElement(e,c,p,n),_=i}this.updateSharedOptions(d,n,c)}getMaxOverflow(){const t=this._cachedMeta,e=t.data||[];if(!this.options.showLine){let t=0;for(let i=e.length-1;i>=0;--i)t=Math.max(t,e[i].size(this.resolveDataElementOptions(i))/2);return t>0&&t}const i=t.dataset,s=i.options&&i.options.borderWidth||0;if(!e.length)return s;const n=e[0].size(this.resolveDataElementOptions(0)),o=e[e.length-1].size(this.resolveDataElementOptions(e.length-1));return Math.max(s,n,o)/2}}});function Xn(t,e,i,s){const n=vi(t.options.borderRadius,["outerStart","outerEnd","innerStart","innerEnd"]);const o=(i-e)/2,a=Math.min(o,s*e/2),r=t=>{const e=(i-Math.min(o,t))*s/2;return Z(t,0,Math.min(o,e))};return{outerStart:r(n.outerStart),outerEnd:r(n.outerEnd),innerStart:Z(n.innerStart,0,a),innerEnd:Z(n.innerEnd,0,a)}}function qn(t,e,i,s){return{x:i+t*Math.cos(e),y:s+t*Math.sin(e)}}function Kn(t,e,i,s,n,o){const{x:a,y:r,startAngle:l,pixelMargin:h,innerRadius:c}=e,d=Math.max(e.outerRadius+s+i-h,0),u=c>0?c+s+i+h:0;let f=0;const g=n-l;if(s){const t=((c>0?c-s:0)+(d>0?d-s:0))/2;f=(g-(0!==t?g*t/(t+s):g))/2}const p=(g-Math.max(.001,g*d-i/C)/d)/2,m=l+p+f,x=n-p-f,{outerStart:b,outerEnd:_,innerStart:y,innerEnd:v}=Xn(e,u,d,x-m),M=d-b,w=d-_,k=m+b/M,S=x-_/w,P=u+y,D=u+v,O=m+y/P,A=x-v/D;if(t.beginPath(),o){const e=(k+S)/2;if(t.arc(a,r,d,k,e),t.arc(a,r,d,e,S),_>0){const e=qn(w,S,a,r);t.arc(e.x,e.y,_,S,x+E)}const i=qn(D,x,a,r);if(t.lineTo(i.x,i.y),v>0){const e=qn(D,A,a,r);t.arc(e.x,e.y,v,x+E,A+Math.PI)}const s=(x-v/u+(m+y/u))/2;if(t.arc(a,r,u,x-v/u,s,!0),t.arc(a,r,u,s,m+y/u,!0),y>0){const e=qn(P,O,a,r);t.arc(e.x,e.y,y,O+Math.PI,m-E)}const n=qn(M,m,a,r);if(t.lineTo(n.x,n.y),b>0){const e=qn(M,k,a,r);t.arc(e.x,e.y,b,m-E,k)}}else{t.moveTo(a,r);const e=Math.cos(k)*d+a,i=Math.sin(k)*d+r;t.lineTo(e,i);const s=Math.cos(S)*d+a,n=Math.sin(S)*d+r;t.lineTo(s,n)}t.closePath()}function Gn(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r,options:l}=e,{borderWidth:h,borderJoinStyle:c,borderDash:d,borderDashOffset:u,borderRadius:f}=l,g="inner"===l.borderAlign;if(!h)return;t.setLineDash(d||[]),t.lineDashOffset=u,g?(t.lineWidth=2*h,t.lineJoin=c||"round"):(t.lineWidth=h,t.lineJoin=c||"bevel");let p=e.endAngle;if(o){Kn(t,e,i,s,p,n);for(let e=0;en?(h=n/l,t.arc(o,a,l,i+h,s-h,!0)):t.arc(o,a,n,i+E,s-E),t.closePath(),t.clip()}(t,e,p),l.selfJoin&&p-a>=C&&0===f&&"miter"!==c&&function(t,e,i){const{startAngle:s,x:n,y:o,outerRadius:a,innerRadius:r,options:l}=e,{borderWidth:h,borderJoinStyle:c}=l,d=Math.min(h/a,G(s-i));if(t.beginPath(),t.arc(n,o,a-h/2,s+d/2,i-d/2),r>0){const e=Math.min(h/r,G(s-i));t.arc(n,o,r+h/2,i-e/2,s+e/2,!0)}else{const e=Math.min(h/2,a*G(s-i));if("round"===c)t.arc(n,o,e,i-C/2,s+C/2,!0);else if("bevel"===c){const a=2*e*e,r=-a*Math.cos(i+C/2)+n,l=-a*Math.sin(i+C/2)+o,h=a*Math.cos(s+C/2)+n,c=a*Math.sin(s+C/2)+o;t.lineTo(r,l),t.lineTo(h,c)}}t.closePath(),t.moveTo(0,0),t.rect(0,0,t.canvas.width,t.canvas.height),t.clip("evenodd")}(t,e,p),o||(Kn(t,e,i,s,p,n),t.stroke())}function Jn(t,e,i=e){t.lineCap=l(i.borderCapStyle,e.borderCapStyle),t.setLineDash(l(i.borderDash,e.borderDash)),t.lineDashOffset=l(i.borderDashOffset,e.borderDashOffset),t.lineJoin=l(i.borderJoinStyle,e.borderJoinStyle),t.lineWidth=l(i.borderWidth,e.borderWidth),t.strokeStyle=l(i.borderColor,e.borderColor)}function Zn(t,e,i){t.lineTo(i.x,i.y)}function Qn(t,e,i={}){const s=t.length,{start:n=0,end:o=s-1}=i,{start:a,end:r}=e,l=Math.max(n,a),h=Math.min(o,r),c=nr&&o>r;return{count:s,start:l,loop:e.loop,ilen:h(a+(h?r-t:t))%o,_=()=>{f!==g&&(t.lineTo(m,g),t.lineTo(m,f),t.lineTo(m,p))};for(l&&(d=n[b(0)],t.moveTo(d.x,d.y)),c=0;c<=r;++c){if(d=n[b(c)],d.skip)continue;const e=d.x,i=d.y,s=0|e;s===u?(ig&&(g=i),m=(x*m+e)/++x):(_(),t.lineTo(e,i),u=s,x=0,f=g=i),p=i}_()}function io(t){const e=t.options,i=e.borderDash&&e.borderDash.length;return!(t._decimated||t._loop||e.tension||"monotone"===e.cubicInterpolationMode||e.stepped||i)?eo:to}const so="function"==typeof Path2D;function no(t,e,i,s){so&&!e.options.segment?function(t,e,i,s){let n=e._path;n||(n=e._path=new Path2D,e.path(n,i,s)&&n.closePath()),Jn(t,e.options),t.stroke(n)}(t,e,i,s):function(t,e,i,s){const{segments:n,options:o}=e,a=io(e);for(const r of n)Jn(t,o,r.style),t.beginPath(),a(t,e,r,{start:i,end:i+s-1})&&t.closePath(),t.stroke()}(t,e,i,s)}class oo extends $s{static id="line";static defaults={borderCapStyle:"butt",borderDash:[],borderDashOffset:0,borderJoinStyle:"miter",borderWidth:3,capBezierPoints:!0,cubicInterpolationMode:"default",fill:!1,spanGaps:!1,stepped:!1,tension:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t&&"fill"!==t};constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const i=this.options;if((i.tension||"monotone"===i.cubicInterpolationMode)&&!i.stepped&&!this._pointsUpdated){const s=i.spanGaps?this._loop:this._fullLoop;hi(this._points,i,t,s,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=zi(this,this.options.segment))}first(){const t=this.segments,e=this.points;return t.length&&e[t[0].start]}last(){const t=this.segments,e=this.points,i=t.length;return i&&e[t[i-1].end]}interpolate(t,e){const i=this.options,s=t[e],n=this.points,o=Ii(this,{property:e,start:s,end:s});if(!o.length)return;const a=[],r=function(t){return t.stepped?pi:t.tension||"monotone"===t.cubicInterpolationMode?mi:gi}(i);let l,h;for(l=0,h=o.length;l"borderDash"!==t};circumference;endAngle;fullCircles;innerRadius;outerRadius;pixelMargin;startAngle;constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,i){const s=this.getProps(["x","y"],i),{angle:n,distance:o}=X(s,{x:t,y:e}),{startAngle:a,endAngle:r,innerRadius:h,outerRadius:c,circumference:d}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],i),u=(this.options.spacing+this.options.borderWidth)/2,f=l(d,r-a),g=J(n,a,r)&&a!==r,p=f>=O||g,m=tt(o,h+u,c+u);return p&&m}getCenterPoint(t){const{x:e,y:i,startAngle:s,endAngle:n,innerRadius:o,outerRadius:a}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius"],t),{offset:r,spacing:l}=this.options,h=(s+n)/2,c=(o+a+l+r)/2;return{x:e+Math.cos(h)*c,y:i+Math.sin(h)*c}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:i}=this,s=(e.offset||0)/4,n=(e.spacing||0)/2,o=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=i>O?Math.floor(i/O):0,0===i||this.innerRadius<0||this.outerRadius<0)return;t.save();const a=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(a)*s,Math.sin(a)*s);const r=s*(1-Math.sin(Math.min(C,i||0)));t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor,function(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r}=e;let l=e.endAngle;if(o){Kn(t,e,i,s,l,n);for(let e=0;e("string"==typeof e?(i=t.push(e)-1,s.unshift({index:i,label:e})):isNaN(e)&&(i=null),i))(t,e,i,s);return n!==t.lastIndexOf(e)?i:n}function mo(t){const e=this.getLabels();return t>=0&&ts=e?s:t,a=t=>n=i?n:t;if(t){const t=F(s),e=F(n);t<0&&e<0?a(0):t>0&&e>0&&o(0)}if(s===n){let e=0===n?1:Math.abs(.05*n);a(n+e),t||o(s-e)}this.min=s,this.max=n}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:i,stepSize:s}=t;return s?(e=Math.ceil(this.max/s)-Math.floor(this.min/s)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${s} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),i=i||11),i&&(e=Math.min(i,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let i=this.getTickLimit();i=Math.max(2,i);const n=function(t,e){const i=[],{bounds:n,step:o,min:a,max:r,precision:l,count:h,maxTicks:c,maxDigits:d,includeBounds:u}=t,f=o||1,g=c-1,{min:p,max:m}=e,x=!s(a),b=!s(r),_=!s(h),y=(m-p)/(d+1);let v,M,w,k,S=B((m-p)/g/f)*f;if(S<1e-14&&!x&&!b)return[{value:p},{value:m}];k=Math.ceil(m/S)-Math.floor(p/S),k>g&&(S=B(k*S/g/f)*f),s(l)||(v=Math.pow(10,l),S=Math.ceil(S*v)/v),"ticks"===n?(M=Math.floor(p/S)*S,w=Math.ceil(m/S)*S):(M=p,w=m),x&&b&&o&&H((r-a)/o,S/1e3)?(k=Math.round(Math.min((r-a)/S,c)),S=(r-a)/k,M=a,w=r):_?(M=x?a:M,w=b?r:w,k=h-1,S=(w-M)/k):(k=(w-M)/S,k=V(k,Math.round(k),S/1e3)?Math.round(k):Math.ceil(k));const P=Math.max(U(S),U(M));v=Math.pow(10,s(l)?P:l),M=Math.round(M*v)/v,w=Math.round(w*v)/v;let D=0;for(x&&(u&&M!==a?(i.push({value:a}),Mr)break;i.push({value:t})}return b&&u&&w!==r?i.length&&V(i[i.length-1].value,r,xo(r,y,t))?i[i.length-1].value=r:i.push({value:r}):b&&w!==r||i.push({value:w}),i}({maxTicks:i,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&j(n,this,"value"),t.reverse?(n.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),n}configure(){const t=this.ticks;let e=this.min,i=this.max;if(super.configure(),this.options.offset&&t.length){const s=(i-e)/Math.max(t.length-1,1)/2;e-=s,i+=s}this._startValue=e,this._endValue=i,this._valueRange=i-e}getLabelForValue(t){return ne(t,this.chart.options.locale,this.options.ticks.format)}}class _o extends bo{static id="linear";static defaults={ticks:{callback:ae.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?t:0,this.max=a(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,i=$(this.options.ticks.minRotation),s=(t?Math.sin(i):Math.cos(i))||.001,n=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,n.lineHeight/s))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const yo=t=>Math.floor(z(t)),vo=(t,e)=>Math.pow(10,yo(t)+e);function Mo(t){return 1===t/Math.pow(10,yo(t))}function wo(t,e,i){const s=Math.pow(10,i),n=Math.floor(t/s);return Math.ceil(e/s)-n}function ko(t,{min:e,max:i}){e=r(t.min,e);const s=[],n=yo(e);let o=function(t,e){let i=yo(e-t);for(;wo(t,e,i)>10;)i++;for(;wo(t,e,i)<10;)i--;return Math.min(i,yo(t))}(e,i),a=o<0?Math.pow(10,Math.abs(o)):1;const l=Math.pow(10,o),h=n>o?Math.pow(10,n):0,c=Math.round((e-h)*a)/a,d=Math.floor((e-h)/l/10)*l*10;let u=Math.floor((c-d)/Math.pow(10,o)),f=r(t.min,Math.round((h+d+u*Math.pow(10,o))*a)/a);for(;f=10?u=u<15?15:20:u++,u>=20&&(o++,u=2,a=o>=0?1:a),f=Math.round((h+d+u*Math.pow(10,o))*a)/a;const g=r(t.max,f);return s.push({value:g,major:Mo(g),significand:u}),s}class So extends tn{static id="logarithmic";static defaults={ticks:{callback:ae.formatters.logarithmic,major:{enabled:!0}}};constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const i=bo.prototype.parse.apply(this,[t,e]);if(0!==i)return a(i)&&i>0?i:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?Math.max(0,t):null,this.max=a(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!a(this._userMin)&&(this.min=t===vo(this.min,0)?vo(this.min,-1):vo(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let i=this.min,s=this.max;const n=e=>i=t?i:e,o=t=>s=e?s:t;i===s&&(i<=0?(n(1),o(10)):(n(vo(i,-1)),o(vo(s,1)))),i<=0&&n(vo(s,-1)),s<=0&&o(vo(i,1)),this.min=i,this.max=s}buildTicks(){const t=this.options,e=ko({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&j(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":ne(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=z(t),this._valueRange=z(this.max)-z(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(z(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function Po(t){const e=t.ticks;if(e.display&&t.display){const t=ki(e.backdropPadding);return l(e.font&&e.font.size,ue.font.size)+t.height}return 0}function Do(t,e,i,s,n){return t===s||t===n?{start:e-i/2,end:e+i/2}:tn?{start:e-i,end:e}:{start:e,end:e+i}}function Co(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},i=Object.assign({},e),s=[],o=[],a=t._pointLabels.length,r=t.options.pointLabels,l=r.centerPointLabels?C/a:0;for(let u=0;ue.r&&(r=(s.end-e.r)/o,t.r=Math.max(t.r,e.r+r)),n.starte.b&&(l=(n.end-e.b)/a,t.b=Math.max(t.b,e.b+l))}function Ao(t,e,i){const s=t.drawingArea,{extra:n,additionalAngle:o,padding:a,size:r}=i,l=t.getPointPosition(e,s+n+a,o),h=Math.round(Y(G(l.angle+E))),c=function(t,e,i){90===i||270===i?t-=e/2:(i>270||i<90)&&(t-=e);return t}(l.y,r.h,h),d=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(h),u=function(t,e,i){"right"===i?t-=e:"center"===i&&(t-=e/2);return t}(l.x,r.w,d);return{visible:!0,x:l.x,y:c,textAlign:d,left:u,top:c,right:u+r.w,bottom:c+r.h}}function To(t,e){if(!e)return!0;const{left:i,top:s,right:n,bottom:o}=t;return!(Re({x:i,y:s},e)||Re({x:i,y:o},e)||Re({x:n,y:s},e)||Re({x:n,y:o},e))}function Lo(t,e,i){const{left:n,top:o,right:a,bottom:r}=i,{backdropColor:l}=e;if(!s(l)){const i=wi(e.borderRadius),s=ki(e.backdropPadding);t.fillStyle=l;const h=n-s.left,c=o-s.top,d=a-n+s.width,u=r-o+s.height;Object.values(i).some((t=>0!==t))?(t.beginPath(),He(t,{x:h,y:c,w:d,h:u,radius:i}),t.fill()):t.fillRect(h,c,d,u)}}function Eo(t,e,i,s){const{ctx:n}=t;if(i)n.arc(t.xCenter,t.yCenter,e,0,O);else{let i=t.getPointPosition(0,e);n.moveTo(i.x,i.y);for(let o=1;ot,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=ki(Po(this.options)/2),e=this.width=this.maxWidth-t.width,i=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+i/2+t.top),this.drawingArea=Math.floor(Math.min(e,i)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=a(t)&&!isNaN(t)?t:0,this.max=a(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/Po(this.options))}generateTickLabels(t){bo.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const i=d(this.options.pointLabels.callback,[t,e],this);return i||0===i?i:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?Co(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,i,s){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((i-s)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,i,s))}getIndexAngle(t){return G(t*(O/(this._pointLabels.length||1))+$(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(s(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(s(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t=0;n--){const e=t._pointLabelItems[n];if(!e.visible)continue;const o=s.setContext(t.getPointLabelContext(n));Lo(i,o,e);const a=Si(o.font),{x:r,y:l,textAlign:h}=e;Ne(i,t._pointLabels[n],r,l+a.lineHeight/2,a,{color:o.color,textAlign:h,textBaseline:"middle"})}}(this,o),s.display&&this.ticks.forEach(((t,e)=>{if(0!==e||0===e&&this.min<0){r=this.getDistanceFromCenterForValue(t.value);const i=this.getContext(e),a=s.setContext(i),l=n.setContext(i);!function(t,e,i,s,n){const o=t.ctx,a=e.circular,{color:r,lineWidth:l}=e;!a&&!s||!r||!l||i<0||(o.save(),o.strokeStyle=r,o.lineWidth=l,o.setLineDash(n.dash||[]),o.lineDashOffset=n.dashOffset,o.beginPath(),Eo(t,i,a,s),o.closePath(),o.stroke(),o.restore())}(this,a,r,o,l)}})),i.display){for(t.save(),a=o-1;a>=0;a--){const s=i.setContext(this.getPointLabelContext(a)),{color:n,lineWidth:o}=s;o&&n&&(t.lineWidth=o,t.strokeStyle=n,t.setLineDash(s.borderDash),t.lineDashOffset=s.borderDashOffset,r=this.getDistanceFromCenterForValue(e.reverse?this.min:this.max),l=this.getPointPosition(a,r),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,i=e.ticks;if(!i.display)return;const s=this.getIndexAngle(0);let n,o;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(s),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((s,a)=>{if(0===a&&this.min>=0&&!e.reverse)return;const r=i.setContext(this.getContext(a)),l=Si(r.font);if(n=this.getDistanceFromCenterForValue(this.ticks[a].value),r.showLabelBackdrop){t.font=l.string,o=t.measureText(s.label).width,t.fillStyle=r.backdropColor;const e=ki(r.backdropPadding);t.fillRect(-o/2-e.left,-n-l.size/2-e.top,o+e.width,l.size+e.height)}Ne(t,s.label,0,-n,l,{color:r.color,strokeColor:r.textStrokeColor,strokeWidth:r.textStrokeWidth})})),t.restore()}drawTitle(){}}const Io={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},zo=Object.keys(Io);function Fo(t,e){return t-e}function Vo(t,e){if(s(e))return null;const i=t._adapter,{parser:n,round:o,isoWeekday:r}=t._parseOpts;let l=e;return"function"==typeof n&&(l=n(l)),a(l)||(l="string"==typeof n?i.parse(l,n):i.parse(l)),null===l?null:(o&&(l="week"!==o||!N(r)&&!0!==r?i.startOf(l,o):i.startOf(l,"isoWeek",r)),+l)}function Bo(t,e,i,s){const n=zo.length;for(let o=zo.indexOf(t);o=e?i[s]:i[n]]=!0}}else t[e]=!0}function No(t,e,i){const s=[],n={},o=e.length;let a,r;for(a=0;a=0&&(e[l].major=!0);return e}(t,s,n,i):s}class Ho extends tn{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const i=t.time||(t.time={}),s=this._adapter=new In._date(t.adapters.date);s.init(e),b(i.displayFormats,s.formats()),this._parseOpts={parser:i.parser,round:i.round,isoWeekday:i.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:Vo(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,i=t.time.unit||"day";let{min:s,max:n,minDefined:o,maxDefined:r}=this.getUserBounds();function l(t){o||isNaN(t.min)||(s=Math.min(s,t.min)),r||isNaN(t.max)||(n=Math.max(n,t.max))}o&&r||(l(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||l(this.getMinMax(!1))),s=a(s)&&!isNaN(s)?s:+e.startOf(Date.now(),i),n=a(n)&&!isNaN(n)?n:+e.endOf(Date.now(),i)+1,this.min=Math.min(s,n-1),this.max=Math.max(s+1,n)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,i=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],i=t[t.length-1]),{min:e,max:i}}buildTicks(){const t=this.options,e=t.time,i=t.ticks,s="labels"===i.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&s.length&&(this.min=this._userMin||s[0],this.max=this._userMax||s[s.length-1]);const n=this.min,o=nt(s,n,this.max);return this._unit=e.unit||(i.autoSkip?Bo(e.minUnit,this.min,this.max,this._getLabelCapacity(n)):function(t,e,i,s,n){for(let o=zo.length-1;o>=zo.indexOf(i);o--){const i=zo[o];if(Io[i].common&&t._adapter.diff(n,s,i)>=e-1)return i}return zo[i?zo.indexOf(i):0]}(this,o.length,e.minUnit,this.min,this.max)),this._majorUnit=i.major.enabled&&"year"!==this._unit?function(t){for(let e=zo.indexOf(t)+1,i=zo.length;e+t.value)))}initOffsets(t=[]){let e,i,s=0,n=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),s=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,i=this.getDecimalForValue(t[t.length-1]),n=1===t.length?i:(i-this.getDecimalForValue(t[t.length-2]))/2);const o=t.length<3?.5:.25;s=Z(s,0,o),n=Z(n,0,o),this._offsets={start:s,end:n,factor:1/(s+1+n)}}_generate(){const t=this._adapter,e=this.min,i=this.max,s=this.options,n=s.time,o=n.unit||Bo(n.minUnit,e,i,this._getLabelCapacity(e)),a=l(s.ticks.stepSize,1),r="week"===o&&n.isoWeekday,h=N(r)||!0===r,c={};let d,u,f=e;if(h&&(f=+t.startOf(f,"isoWeek",r)),f=+t.startOf(f,h?"day":o),t.diff(i,e,o)>1e5*a)throw new Error(e+" and "+i+" are too far apart with 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this._cache.data=s[0].controller.getAllParsedValues(this);for(t=0,e=s.length;t=t[r].pos&&e<=t[l].pos&&({lo:r,hi:l}=it(t,"pos",e)),({pos:s,time:o}=t[r]),({pos:n,time:a}=t[l])):(e>=t[r].time&&e<=t[l].time&&({lo:r,hi:l}=it(t,"time",e)),({time:s,pos:o}=t[r]),({time:n,pos:a}=t[l]));const h=n-s;return h?o+(a-o)*(e-s)/h:o}var $o=Object.freeze({__proto__:null,CategoryScale:class extends tn{static id="category";static defaults={ticks:{callback:mo}};constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:i,label:s}of e)t[i]===s&&t.splice(i,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(s(t))return null;const i=this.getLabels();return((t,e)=>null===t?null:Z(Math.round(t),0,e))(e=isFinite(e)&&i[e]===t?e:po(i,t,l(e,t),this._addedLabels),i.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:i,max:s}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(i=0),e||(s=this.getLabels().length-1)),this.min=i,this.max=s}buildTicks(){const t=this.min,e=this.max,i=this.options.offset,s=[];let n=this.getLabels();n=0===t&&e===n.length-1?n:n.slice(t,e+1),this._valueRange=Math.max(n.length-(i?0:1),1),this._startValue=this.min-(i?.5:0);for(let i=t;i<=e;i++)s.push({value:i});return s}getLabelForValue(t){return mo.call(this,t)}configure(){super.configure(),this.isHorizontal()||(this._reversePixels=!this._reversePixels)}getPixelForValue(t){return"number"!=typeof t&&(t=this.parse(t)),null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}},LinearScale:_o,LogarithmicScale:So,RadialLinearScale:Ro,TimeScale:Ho,TimeSeriesScale:class extends Ho{static id="timeseries";static defaults=Ho.defaults;constructor(t){super(t),this._table=[],this._minPos=void 0,this._tableRange=void 0}initOffsets(){const t=this._getTimestampsForTable(),e=this._table=this.buildLookupTable(t);this._minPos=jo(e,this.min),this._tableRange=jo(e,this.max)-this._minPos,super.initOffsets(t)}buildLookupTable(t){const{min:e,max:i}=this,s=[],n=[];let o,a,r,l,h;for(o=0,a=t.length;o=e&&l<=i&&s.push(l);if(s.length<2)return[{time:e,pos:0},{time:i,pos:1}];for(o=0,a=s.length;ot-e))}_getTimestampsForTable(){let t=this._cache.all||[];if(t.length)return t;const e=this.getDataTimestamps(),i=this.getLabelTimestamps();return t=e.length&&i.length?this.normalize(e.concat(i)):e.length?e:i,t=this._cache.all=t,t}getDecimalForValue(t){return(jo(this._table,t)-this._minPos)/this._tableRange}getValueForPixel(t){const e=this._offsets,i=this.getDecimalForPixel(t)/e.factor-e.end;return jo(this._table,i*this._tableRange+this._minPos,!0)}}});const Yo=["rgb(54, 162, 235)","rgb(255, 99, 132)","rgb(255, 159, 64)","rgb(255, 205, 86)","rgb(75, 192, 192)","rgb(153, 102, 255)","rgb(201, 203, 207)"],Uo=Yo.map((t=>t.replace("rgb(","rgba(").replace(")",", 0.5)")));function Xo(t){return Yo[t%Yo.length]}function qo(t){return Uo[t%Uo.length]}function Ko(t){let e=0;return(i,s)=>{const n=t.getDatasetMeta(s).controller;n instanceof $n?e=function(t,e){return t.backgroundColor=t.data.map((()=>Xo(e++))),e}(i,e):n instanceof Yn?e=function(t,e){return t.backgroundColor=t.data.map((()=>qo(e++))),e}(i,e):n&&(e=function(t,e){return t.borderColor=Xo(e),t.backgroundColor=qo(e),++e}(i,e))}}function Go(t){let e;for(e in 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s=e.meta.$filler;oa(s)&&"beforeDatasetDraw"===i.drawTime&&ua(t.ctx,s,t.chartArea)},defaults:{propagate:!0,drawTime:"beforeDatasetDraw"}};const _a=(t,e)=>{let{boxHeight:i=e,boxWidth:s=e}=t;return t.usePointStyle&&(i=Math.min(i,e),s=t.pointStyleWidth||Math.min(s,e)),{boxWidth:s,boxHeight:i,itemHeight:Math.max(e,i)}};class ya extends $s{constructor(t){super(),this._added=!1,this.legendHitBoxes=[],this._hoveredItem=null,this.doughnutMode=!1,this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this.legendItems=void 0,this.columnSizes=void 0,this.lineWidths=void 0,this.maxHeight=void 0,this.maxWidth=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.height=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e,i){this.maxWidth=t,this.maxHeight=e,this._margins=i,this.setDimensions(),this.buildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let e=d(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.data)))),t.sort&&(e=e.sort(((e,i)=>t.sort(e,i,this.chart.data)))),this.options.reverse&&e.reverse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return void(this.width=this.height=0);const i=t.labels,s=Si(i.font),n=s.size,o=this._computeTitleHeight(),{boxWidth:a,itemHeight:r}=_a(i,n);let l,h;e.font=s.string,this.isHorizontal()?(l=this.maxWidth,h=this._fitRows(o,n,a,r)+10):(h=this.maxHeight,l=this._fitCols(o,s,a,r)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),this.height=Math.min(h,t.maxHeight||this.maxHeight)}_fitRows(t,e,i,s){const{ctx:n,maxWidth:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.lineWidths=[0],h=s+a;let c=t;n.textAlign="left",n.textBaseline="middle";let d=-1,u=-h;return this.legendItems.forEach(((t,f)=>{const g=i+e/2+n.measureText(t.text).width;(0===f||l[l.length-1]+g+2*a>o)&&(c+=h,l[l.length-(f>0?0:1)]=0,u+=h,d++),r[f]={left:0,top:u,row:d,width:g,height:s},l[l.length-1]+=g+a})),c}_fitCols(t,e,i,s){const{ctx:n,maxHeight:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.columnSizes=[],h=o-t;let c=a,d=0,u=0,f=0,g=0;return this.legendItems.forEach(((t,o)=>{const{itemWidth:p,itemHeight:m}=function(t,e,i,s,n){const o=function(t,e,i,s){let n=t.text;n&&"string"!=typeof n&&(n=n.reduce(((t,e)=>t.length>e.length?t:e)));return e+i.size/2+s.measureText(n).width}(s,t,e,i),a=function(t,e,i){let s=t;"string"!=typeof e.text&&(s=va(e,i));return s}(n,s,e.lineHeight);return{itemWidth:o,itemHeight:a}}(i,e,n,t,s);o>0&&u+m+2*a>h&&(c+=d+a,l.push({width:d,height:u}),f+=d+a,g++,d=u=0),r[o]={left:f,top:u,col:g,width:p,height:m},d=Math.max(d,p),u+=m+a})),c+=d,l.push({width:d,height:u}),c}adjustHitBoxes(){if(!this.options.display)return;const t=this._computeTitleHeight(),{legendHitBoxes:e,options:{align:i,labels:{padding:s},rtl:n}}=this,o=Oi(n,this.left,this.width);if(this.isHorizontal()){let n=0,a=ft(i,this.left+s,this.right-this.lineWidths[n]);for(const r of e)n!==r.row&&(n=r.row,a=ft(i,this.left+s,this.right-this.lineWidths[n])),r.top+=this.top+t+s,r.left=o.leftForLtr(o.x(a),r.width),a+=r.width+s}else{let n=0,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height);for(const r of e)r.col!==n&&(n=r.col,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height)),r.top=a,r.left+=this.left+s,r.left=o.leftForLtr(o.x(r.left),r.width),a+=r.height+s}}isHorizontal(){return"top"===this.options.position||"bottom"===this.options.position}draw(){if(this.options.display){const t=this.ctx;Ie(t,this),this._draw(),ze(t)}}_draw(){const{options:t,columnSizes:e,lineWidths:i,ctx:s}=this,{align:n,labels:o}=t,a=ue.color,r=Oi(t.rtl,this.left,this.width),h=Si(o.font),{padding:c}=o,d=h.size,u=d/2;let f;this.drawTitle(),s.textAlign=r.textAlign("left"),s.textBaseline="middle",s.lineWidth=.5,s.font=h.string;const{boxWidth:g,boxHeight:p,itemHeight:m}=_a(o,d),x=this.isHorizontal(),b=this._computeTitleHeight();f=x?{x:ft(n,this.left+c,this.right-i[0]),y:this.top+c+b,line:0}:{x:this.left+c,y:ft(n,this.top+b+c,this.bottom-e[0].height),line:0},Ai(this.ctx,t.textDirection);const _=m+c;this.legendItems.forEach(((y,v)=>{s.strokeStyle=y.fontColor,s.fillStyle=y.fontColor;const M=s.measureText(y.text).width,w=r.textAlign(y.textAlign||(y.textAlign=o.textAlign)),k=g+u+M;let S=f.x,P=f.y;r.setWidth(this.width),x?v>0&&S+k+c>this.right&&(P=f.y+=_,f.line++,S=f.x=ft(n,this.left+c,this.right-i[f.line])):v>0&&P+_>this.bottom&&(S=f.x=S+e[f.line].width+c,f.line++,P=f.y=ft(n,this.top+b+c,this.bottom-e[f.line].height));if(function(t,e,i){if(isNaN(g)||g<=0||isNaN(p)||p<0)return;s.save();const n=l(i.lineWidth,1);if(s.fillStyle=l(i.fillStyle,a),s.lineCap=l(i.lineCap,"butt"),s.lineDashOffset=l(i.lineDashOffset,0),s.lineJoin=l(i.lineJoin,"miter"),s.lineWidth=n,s.strokeStyle=l(i.strokeStyle,a),s.setLineDash(l(i.lineDash,[])),o.usePointStyle){const a={radius:p*Math.SQRT2/2,pointStyle:i.pointStyle,rotation:i.rotation,borderWidth:n},l=r.xPlus(t,g/2);Ee(s,a,l,e+u,o.pointStyleWidth&&g)}else{const o=e+Math.max((d-p)/2,0),a=r.leftForLtr(t,g),l=wi(i.borderRadius);s.beginPath(),Object.values(l).some((t=>0!==t))?He(s,{x:a,y:o,w:g,h:p,radius:l}):s.rect(a,o,g,p),s.fill(),0!==n&&s.stroke()}s.restore()}(r.x(S),P,y),S=gt(w,S+g+u,x?S+k:this.right,t.rtl),function(t,e,i){Ne(s,i.text,t,e+m/2,h,{strikethrough:i.hidden,textAlign:r.textAlign(i.textAlign)})}(r.x(S),P,y),x)f.x+=k+c;else if("string"!=typeof y.text){const t=h.lineHeight;f.y+=va(y,t)+c}else f.y+=_})),Ti(this.ctx,t.textDirection)}drawTitle(){const t=this.options,e=t.title,i=Si(e.font),s=ki(e.padding);if(!e.display)return;const n=Oi(t.rtl,this.left,this.width),o=this.ctx,a=e.position,r=i.size/2,l=s.top+r;let h,c=this.left,d=this.width;if(this.isHorizontal())d=Math.max(...this.lineWidths),h=this.top+l,c=ft(t.align,c,this.right-d);else{const e=this.columnSizes.reduce(((t,e)=>Math.max(t,e.height)),0);h=l+ft(t.align,this.top,this.bottom-e-t.labels.padding-this._computeTitleHeight())}const u=ft(a,c,c+d);o.textAlign=n.textAlign(ut(a)),o.textBaseline="middle",o.strokeStyle=e.color,o.fillStyle=e.color,o.font=i.string,Ne(o,e.text,u,h,i)}_computeTitleHeight(){const t=this.options.title,e=Si(t.font),i=ki(t.padding);return t.display?e.lineHeight+i.height:0}_getLegendItemAt(t,e){let i,s,n;if(tt(t,this.left,this.right)&&tt(e,this.top,this.bottom))for(n=this.legendHitBoxes,i=0;it.chart.options.color,boxWidth:40,padding:10,generateLabels(t){const e=t.data.datasets,{labels:{usePointStyle:i,pointStyle:s,textAlign:n,color:o,useBorderRadius:a,borderRadius:r}}=t.legend.options;return t._getSortedDatasetMetas().map((t=>{const l=t.controller.getStyle(i?0:void 0),h=ki(l.borderWidth);return{text:e[t.index].label,fillStyle:l.backgroundColor,fontColor:o,hidden:!t.visible,lineCap:l.borderCapStyle,lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:(h.width+h.height)/4,strokeStyle:l.borderColor,pointStyle:s||l.pointStyle,rotation:l.rotation,textAlign:n||l.textAlign,borderRadius:a&&(r||l.borderRadius),datasetIndex:t.index}}),this)}},title:{color:t=>t.chart.options.color,display:!1,position:"center",text:""}},descriptors:{_scriptable:t=>!t.startsWith("on"),labels:{_scriptable:t=>!["generateLabels","filter","sort"].includes(t)}}};class wa extends $s{constructor(t){super(),this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this._padding=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e){const i=this.options;if(this.left=0,this.top=0,!i.display)return void(this.width=this.height=this.right=this.bottom=0);this.width=this.right=t,this.height=this.bottom=e;const s=n(i.text)?i.text.length:1;this._padding=ki(i.padding);const o=s*Si(i.font).lineHeight+this._padding.height;this.isHorizontal()?this.height=o:this.width=o}isHorizontal(){const t=this.options.position;return"top"===t||"bottom"===t}_drawArgs(t){const{top:e,left:i,bottom:s,right:n,options:o}=this,a=o.align;let r,l,h,c=0;return this.isHorizontal()?(l=ft(a,i,n),h=e+t,r=n-i):("left"===o.position?(l=i+t,h=ft(a,s,e),c=-.5*C):(l=n-t,h=ft(a,e,s),c=.5*C),r=s-e),{titleX:l,titleY:h,maxWidth:r,rotation:c}}draw(){const t=this.ctx,e=this.options;if(!e.display)return;const i=Si(e.font),s=i.lineHeight/2+this._padding.top,{titleX:n,titleY:o,maxWidth:a,rotation:r}=this._drawArgs(s);Ne(t,e.text,0,0,i,{color:e.color,maxWidth:a,rotation:r,textAlign:ut(e.align),textBaseline:"middle",translation:[n,o]})}}var ka={id:"title",_element:wa,start(t,e,i){!function(t,e){const i=new wa({ctx:t.ctx,options:e,chart:t});ls.configure(t,i,e),ls.addBox(t,i),t.titleBlock=i}(t,i)},stop(t){const e=t.titleBlock;ls.removeBox(t,e),delete t.titleBlock},beforeUpdate(t,e,i){const s=t.titleBlock;ls.configure(t,s,i),s.options=i},defaults:{align:"center",display:!1,font:{weight:"bold"},fullSize:!0,padding:10,position:"top",text:"",weight:2e3},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const Sa=new WeakMap;var Pa={id:"subtitle",start(t,e,i){const s=new wa({ctx:t.ctx,options:i,chart:t});ls.configure(t,s,i),ls.addBox(t,s),Sa.set(t,s)},stop(t){ls.removeBox(t,Sa.get(t)),Sa.delete(t)},beforeUpdate(t,e,i){const s=Sa.get(t);ls.configure(t,s,i),s.options=i},defaults:{align:"center",display:!1,font:{weight:"normal"},fullSize:!0,padding:0,position:"top",text:"",weight:1500},defaultRoutes:{color:"color"},descriptors:{_scriptable:!0,_indexable:!1}};const Da={average(t){if(!t.length)return!1;let e,i,s=new Set,n=0,o=0;for(e=0,i=t.length;et+e))/s.size,y:n/o}},nearest(t,e){if(!t.length)return!1;let i,s,n,o=e.x,a=e.y,r=Number.POSITIVE_INFINITY;for(i=0,s=t.length;i-1?t.split("\n"):t}function Aa(t,e){const{element:i,datasetIndex:s,index:n}=e,o=t.getDatasetMeta(s).controller,{label:a,value:r}=o.getLabelAndValue(n);return{chart:t,label:a,parsed:o.getParsed(n),raw:t.data.datasets[s].data[n],formattedValue:r,dataset:o.getDataset(),dataIndex:n,datasetIndex:s,element:i}}function Ta(t,e){const i=t.chart.ctx,{body:s,footer:n,title:o}=t,{boxWidth:a,boxHeight:r}=e,l=Si(e.bodyFont),h=Si(e.titleFont),c=Si(e.footerFont),d=o.length,f=n.length,g=s.length,p=ki(e.padding);let m=p.height,x=0,b=s.reduce(((t,e)=>t+e.before.length+e.lines.length+e.after.length),0);if(b+=t.beforeBody.length+t.afterBody.length,d&&(m+=d*h.lineHeight+(d-1)*e.titleSpacing+e.titleMarginBottom),b){m+=g*(e.displayColors?Math.max(r,l.lineHeight):l.lineHeight)+(b-g)*l.lineHeight+(b-1)*e.bodySpacing}f&&(m+=e.footerMarginTop+f*c.lineHeight+(f-1)*e.footerSpacing);let _=0;const y=function(t){x=Math.max(x,i.measureText(t).width+_)};return i.save(),i.font=h.string,u(t.title,y),i.font=l.string,u(t.beforeBody.concat(t.afterBody),y),_=e.displayColors?a+2+e.boxPadding:0,u(s,(t=>{u(t.before,y),u(t.lines,y),u(t.after,y)})),_=0,i.font=c.string,u(t.footer,y),i.restore(),x+=p.width,{width:x,height:m}}function La(t,e,i,s){const{x:n,width:o}=i,{width:a,chartArea:{left:r,right:l}}=t;let h="center";return"center"===s?h=n<=(r+l)/2?"left":"right":n<=o/2?h="left":n>=a-o/2&&(h="right"),function(t,e,i,s){const{x:n,width:o}=s,a=i.caretSize+i.caretPadding;return"left"===t&&n+o+a>e.width||"right"===t&&n-o-a<0||void 0}(h,t,e,i)&&(h="center"),h}function Ea(t,e,i){const s=i.yAlign||e.yAlign||function(t,e){const{y:i,height:s}=e;return it.height-s/2?"bottom":"center"}(t,i);return{xAlign:i.xAlign||e.xAlign||La(t,e,i,s),yAlign:s}}function Ra(t,e,i,s){const{caretSize:n,caretPadding:o,cornerRadius:a}=t,{xAlign:r,yAlign:l}=i,h=n+o,{topLeft:c,topRight:d,bottomLeft:u,bottomRight:f}=wi(a);let g=function(t,e){let{x:i,width:s}=t;return"right"===e?i-=s:"center"===e&&(i-=s/2),i}(e,r);const p=function(t,e,i){let{y:s,height:n}=t;return"top"===e?s+=i:s-="bottom"===e?n+i:n/2,s}(e,l,h);return"center"===l?"left"===r?g+=h:"right"===r&&(g-=h):"left"===r?g-=Math.max(c,u)+n:"right"===r&&(g+=Math.max(d,f)+n),{x:Z(g,0,s.width-e.width),y:Z(p,0,s.height-e.height)}}function Ia(t,e,i){const s=ki(i.padding);return"center"===e?t.x+t.width/2:"right"===e?t.x+t.width-s.right:t.x+s.left}function za(t){return Ca([],Oa(t))}function Fa(t,e){const i=e&&e.dataset&&e.dataset.tooltip&&e.dataset.tooltip.callbacks;return i?t.override(i):t}const Va={beforeTitle:e,title(t){if(t.length>0){const e=t[0],i=e.chart.data.labels,s=i?i.length:0;if(this&&this.options&&"dataset"===this.options.mode)return e.dataset.label||"";if(e.label)return e.label;if(s>0&&e.dataIndex{const e={before:[],lines:[],after:[]},n=Fa(i,t);Ca(e.before,Oa(Ba(n,"beforeLabel",this,t))),Ca(e.lines,Ba(n,"label",this,t)),Ca(e.after,Oa(Ba(n,"afterLabel",this,t))),s.push(e)})),s}getAfterBody(t,e){return za(Ba(e.callbacks,"afterBody",this,t))}getFooter(t,e){const{callbacks:i}=e,s=Ba(i,"beforeFooter",this,t),n=Ba(i,"footer",this,t),o=Ba(i,"afterFooter",this,t);let a=[];return a=Ca(a,Oa(s)),a=Ca(a,Oa(n)),a=Ca(a,Oa(o)),a}_createItems(t){const e=this._active,i=this.chart.data,s=[],n=[],o=[];let a,r,l=[];for(a=0,r=e.length;at.filter(e,s,n,i)))),t.itemSort&&(l=l.sort(((e,s)=>t.itemSort(e,s,i)))),u(l,(e=>{const i=Fa(t.callbacks,e);s.push(Ba(i,"labelColor",this,e)),n.push(Ba(i,"labelPointStyle",this,e)),o.push(Ba(i,"labelTextColor",this,e))})),this.labelColors=s,this.labelPointStyles=n,this.labelTextColors=o,this.dataPoints=l,l}update(t,e){const i=this.options.setContext(this.getContext()),s=this._active;let n,o=[];if(s.length){const t=Da[i.position].call(this,s,this._eventPosition);o=this._createItems(i),this.title=this.getTitle(o,i),this.beforeBody=this.getBeforeBody(o,i),this.body=this.getBody(o,i),this.afterBody=this.getAfterBody(o,i),this.footer=this.getFooter(o,i);const e=this._size=Ta(this,i),a=Object.assign({},t,e),r=Ea(this.chart,i,a),l=Ra(i,a,r,this.chart);this.xAlign=r.xAlign,this.yAlign=r.yAlign,n={opacity:1,x:l.x,y:l.y,width:e.width,height:e.height,caretX:t.x,caretY:t.y}}else 0!==this.opacity&&(n={opacity:0});this._tooltipItems=o,this.$context=void 0,n&&this._resolveAnimations().update(this,n),t&&i.external&&i.external.call(this,{chart:this.chart,tooltip:this,replay:e})}drawCaret(t,e,i,s){const n=this.getCaretPosition(t,i,s);e.lineTo(n.x1,n.y1),e.lineTo(n.x2,n.y2),e.lineTo(n.x3,n.y3)}getCaretPosition(t,e,i){const{xAlign:s,yAlign:n}=this,{caretSize:o,cornerRadius:a}=i,{topLeft:r,topRight:l,bottomLeft:h,bottomRight:c}=wi(a),{x:d,y:u}=t,{width:f,height:g}=e;let p,m,x,b,_,y;return"center"===n?(_=u+g/2,"left"===s?(p=d,m=p-o,b=_+o,y=_-o):(p=d+f,m=p+o,b=_-o,y=_+o),x=p):(m="left"===s?d+Math.max(r,h)+o:"right"===s?d+f-Math.max(l,c)-o:this.caretX,"top"===n?(b=u,_=b-o,p=m-o,x=m+o):(b=u+g,_=b+o,p=m+o,x=m-o),y=b),{x1:p,x2:m,x3:x,y1:b,y2:_,y3:y}}drawTitle(t,e,i){const s=this.title,n=s.length;let o,a,r;if(n){const l=Oi(i.rtl,this.x,this.width);for(t.x=Ia(this,i.titleAlign,i),e.textAlign=l.textAlign(i.titleAlign),e.textBaseline="middle",o=Si(i.titleFont),a=i.titleSpacing,e.fillStyle=i.titleColor,e.font=o.string,r=0;r0!==t))?(t.beginPath(),t.fillStyle=n.multiKeyBackground,He(t,{x:e,y:g,w:h,h:l,radius:r}),t.fill(),t.stroke(),t.fillStyle=a.backgroundColor,t.beginPath(),He(t,{x:i,y:g+1,w:h-2,h:l-2,radius:r}),t.fill()):(t.fillStyle=n.multiKeyBackground,t.fillRect(e,g,h,l),t.strokeRect(e,g,h,l),t.fillStyle=a.backgroundColor,t.fillRect(i,g+1,h-2,l-2))}t.fillStyle=this.labelTextColors[i]}drawBody(t,e,i){const{body:s}=this,{bodySpacing:n,bodyAlign:o,displayColors:a,boxHeight:r,boxWidth:l,boxPadding:h}=i,c=Si(i.bodyFont);let d=c.lineHeight,f=0;const g=Oi(i.rtl,this.x,this.width),p=function(i){e.fillText(i,g.x(t.x+f),t.y+d/2),t.y+=d+n},m=g.textAlign(o);let 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Tn.register(Un,$o,go,t),Tn.helpers={...Hi},Tn._adapters=In,Tn.Animation=As,Tn.Animations=Ts,Tn.animator=bt,Tn.controllers=nn.controllers.items,Tn.DatasetController=js,Tn.Element=$s,Tn.elements=go,Tn.Interaction=Ki,Tn.layouts=ls,Tn.platforms=Ds,Tn.Scale=tn,Tn.Ticks=ae,Object.assign(Tn,Un,$o,go,t,Ds),Tn.Chart=Tn,"undefined"!=typeof window&&(window.Chart=Tn),Tn})); +//# sourceMappingURL=chart.umd.min.js.map diff --git a/src/variaq/web/tasks.py b/src/variaq/web/tasks.py new file mode 100644 index 0000000..bb845cd --- /dev/null +++ b/src/variaq/web/tasks.py @@ -0,0 +1,128 @@ +"""In-process campaign execution task tracking for the local web UI. + +0.7 campaign execution is local and sequential — one campaign at a time, +owned by a daemon thread inside the server process. This deliberately avoids +Redis/Celery/queue infrastructure. The task record is in-memory only: if the +server restarts mid-campaign, recorded runs remain in storage (append-only), +but the task status is lost and reported as unknown. +""" + +from __future__ import annotations + +import logging +import threading +import uuid +from dataclasses import dataclass, field +from typing import Any + +from variaq.models import utc_now + +log = logging.getLogger("variaq.web.tasks") + + +@dataclass +class CampaignTask: + task_id: str + status: str = "starting" # starting | running | completed | failed + definition: dict[str, Any] = field(default_factory=dict) + override_max_runs: bool = False + max_runs: int = 500 + planned_runs: int | None = None + completed_runs: int = 0 + created_at: str = field(default_factory=utc_now) + finished_at: str | None = None + campaign_id: str | None = None + error: dict[str, str] | None = None + result: dict[str, Any] | None = None + + def to_dict(self) -> dict[str, Any]: + return { + "task_id": self.task_id, + "status": self.status, + "planned_runs": self.planned_runs, + "completed_runs": self.completed_runs, + "created_at": self.created_at, + "finished_at": self.finished_at, + "campaign_id": self.campaign_id, + "error": self.error, + "result": self.result, + } + + +class CampaignTaskManager: + """Owns the single background campaign worker, if one is active.""" + + def __init__(self) -> None: + self._lock = threading.Lock() + self._current: CampaignTask | None = None + self._thread: threading.Thread | None = None + + def start( + self, + service: Any, + definition: dict[str, Any], + *, + override_max_runs: bool, + max_runs: int, + planned_runs: int | None, + ) -> CampaignTask | None: + """Begin a campaign task, or return None if one is already active.""" + from variaq.campaigns.model import ExperimentCampaign + + with self._lock: + if self._current is not None and self._current.status in {"starting", "running"}: + return None + task = CampaignTask( + task_id=f"task-{uuid.uuid4().hex[:12]}", + definition=definition, + override_max_runs=override_max_runs, + max_runs=max_runs, + planned_runs=planned_runs, + ) + self._current = task + + def work() -> None: + with self._lock: + task.status = "running" + + def on_run_recorded(_run: Any, completed: int) -> None: + with self._lock: + task.completed_runs = completed + + try: + planned = ExperimentCampaign.from_dict(definition).requested_runs + with self._lock: + task.planned_runs = planned + summary = service.run_campaign( + definition, + override_max_runs=override_max_runs, + max_runs=max_runs, + on_run_recorded=on_run_recorded, + ) + with self._lock: + task.status = "completed" + task.result = summary + task.campaign_id = summary.get("campaign_id") + task.completed_runs = summary.get("completed_runs", task.completed_runs) + except Exception as exc: # noqa: BLE001 - surface structured failure + log.exception("Campaign task %s failed", task.task_id) + with self._lock: + task.status = "failed" + task.error = {"type": type(exc).__name__, "message": str(exc)} + finally: + with self._lock: + task.finished_at = utc_now() + + self._thread = threading.Thread(target=work, name="variaq-campaign", daemon=True) + self._thread.start() + return task + + def current(self) -> CampaignTask | None: + with self._lock: + return self._current + + def get(self, task_id: str) -> CampaignTask | None: + with self._lock: + if self._current is not None and self._current.task_id == task_id: + return self._current + return None diff --git a/src/variaq/web/templates/base.html b/src/variaq/web/templates/base.html new file mode 100644 index 0000000..fae31d3 --- /dev/null +++ b/src/variaq/web/templates/base.html @@ -0,0 +1,37 @@ + + + + + + +{% block title %}VariaQ{% endblock %} + + + + + +
    +
    + VariaQ + +
    +
    +
    +{% block content %}{% endblock %} +
    +
    + VariaQ local web UI · loopback research interface — data and computation stay on this machine +
    + + + +{% block scripts %}{% endblock %} + + diff --git a/src/variaq/web/templates/campaign_detail.html b/src/variaq/web/templates/campaign_detail.html new file mode 100644 index 0000000..1aa3b68 --- /dev/null +++ b/src/variaq/web/templates/campaign_detail.html @@ -0,0 +1,77 @@ +{% extends "base.html" %} +{% block title %}Campaign {{ campaign_id }} · VariaQ{% endblock %} +{% block content %} +
    +

    Campaign {{ campaign_id }}

    +
    +

    Loading…

    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/campaign_new.html b/src/variaq/web/templates/campaign_new.html new file mode 100644 index 0000000..59185d7 --- /dev/null +++ b/src/variaq/web/templates/campaign_new.html @@ -0,0 +1,67 @@ +{% extends "base.html" %} +{% block title %}New campaign · VariaQ{% endblock %} +{% block content %} +
    +

    New campaign

    +

    Define a campaign, review its plan, then run it. Execution is local and sequential.

    +
    +
    +
    +
    + Identity + + + +
    +
    + Problem grid + + + + +
    +
    +
    + Solvers +
    +

    Availability is checked from VariaQ capabilities when you plan.

    +
    +
    + Generator parameters (family-specific) +
    +
    +
    + +
    +
    + + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/campaigns.html b/src/variaq/web/templates/campaigns.html new file mode 100644 index 0000000..3a60caf --- /dev/null +++ b/src/variaq/web/templates/campaigns.html @@ -0,0 +1,25 @@ +{% extends "base.html" %} +{% block title %}Campaigns · VariaQ{% endblock %} +{% block content %} +
    +
    +

    Campaigns

    +

    Reproducible experiment campaigns stored in the local database.

    +
    + New campaign +
    + +

    Loading…

    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/capabilities.html b/src/variaq/web/templates/capabilities.html new file mode 100644 index 0000000..a2e5972 --- /dev/null +++ b/src/variaq/web/templates/capabilities.html @@ -0,0 +1,39 @@ +{% extends "base.html" %} +{% block title %}Capabilities · VariaQ{% endblock %} +{% block content %} +
    +

    Capabilities

    +

    Reported live by VariaQ for this installation and host.

    +
    +

    Loading…

    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/dashboard.html b/src/variaq/web/templates/dashboard.html new file mode 100644 index 0000000..e5d6174 --- /dev/null +++ b/src/variaq/web/templates/dashboard.html @@ -0,0 +1,56 @@ +{% extends "base.html" %} +{% block title %}Dashboard · VariaQ{% endblock %} +{% block content %} +
    +

    Dashboard

    +

    Local VariaQ research state on this machine.

    +
    +
    Loading…
    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/problem_detail.html b/src/variaq/web/templates/problem_detail.html new file mode 100644 index 0000000..ec116a1 --- /dev/null +++ b/src/variaq/web/templates/problem_detail.html @@ -0,0 +1,34 @@ +{% extends "base.html" %} +{% block title %}Problem {{ problem_id }} · VariaQ{% endblock %} +{% block content %} +
    +

    Problem {{ problem_id }}

    +
    +

    Loading…

    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/problems.html b/src/variaq/web/templates/problems.html new file mode 100644 index 0000000..18ddd07 --- /dev/null +++ b/src/variaq/web/templates/problems.html @@ -0,0 +1,36 @@ +{% extends "base.html" %} +{% block title %}Problems · VariaQ{% endblock %} +{% block content %} +
    +

    Problems

    +

    Problem instances stored with experiment runs.

    +
    + +

    Loading…

    + +

    +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/report_detail.html b/src/variaq/web/templates/report_detail.html new file mode 100644 index 0000000..ec79f7f --- /dev/null +++ b/src/variaq/web/templates/report_detail.html @@ -0,0 +1,27 @@ +{% extends "base.html" %} +{% block title %}Report {{ report_id }} · VariaQ{% endblock %} +{% block content %} +
    +

    Report {{ report_id }}

    +
    +

    Loading…

    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/reports.html b/src/variaq/web/templates/reports.html new file mode 100644 index 0000000..6872e9b --- /dev/null +++ b/src/variaq/web/templates/reports.html @@ -0,0 +1,24 @@ +{% extends "base.html" %} +{% block title %}Reports · VariaQ{% endblock %} +{% block content %} +
    +

    Reports

    +

    Report artifacts generated by VariaQ from stored campaign runs.

    +
    +

    Loading…

    + + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/run_detail.html b/src/variaq/web/templates/run_detail.html new file mode 100644 index 0000000..3bfc8ba --- /dev/null +++ b/src/variaq/web/templates/run_detail.html @@ -0,0 +1,32 @@ +{% extends "base.html" %} +{% block title %}Run {{ run_id }} · VariaQ{% endblock %} +{% block content %} +
    +

    Run {{ run_id }}

    +
    +

    Loading…

    + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/src/variaq/web/templates/runs.html b/src/variaq/web/templates/runs.html new file mode 100644 index 0000000..fdce884 --- /dev/null +++ b/src/variaq/web/templates/runs.html @@ -0,0 +1,49 @@ +{% extends "base.html" %} +{% block title %}Runs · VariaQ{% endblock %} +{% block content %} +
    +

    Runs

    +

    Stored experiment runs. Filters compose.

    +
    + +

    Loading…

    + + +{% endblock %} +{% block scripts %} + +{% endblock %} diff --git a/tests/test_identity.py b/tests/test_identity.py index 006b46c..dc40927 100644 --- a/tests/test_identity.py +++ b/tests/test_identity.py @@ -21,7 +21,7 @@ def _project_version() -> str: class PublicIdentityTests(unittest.TestCase): def test_variaq_import_and_version(self) -> None: - self.assertEqual(variaq.__version__, "0.6.0") + self.assertEqual(variaq.__version__, "0.7.0") def test_package_version_matches_pyproject(self) -> None: self.assertEqual(variaq.__version__, _project_version()) diff --git a/tests/web/conftest.py b/tests/web/conftest.py new file mode 100644 index 0000000..11fb94d --- /dev/null +++ b/tests/web/conftest.py @@ -0,0 +1,90 @@ +"""Shared fixtures for web tests: a synthetic DB and a TestClient.""" + +from __future__ import annotations + +import json +from pathlib import Path + +import pytest +from fastapi.testclient import TestClient + +from variaq.services import VariaQService +from variaq.web.app import create_app + +pytestmark = pytest.mark.usefixtures("_web_deps") + + +@pytest.fixture(name="_web_deps") +def web_deps_guard(): + pytest.importorskip("fastapi") + pytest.importorskip("uvicorn") + pytest.importorskip("jinja2") + return True + + +def _write_maxcut_problem(path: Path, problem_id: str, nodes: int, seed: int) -> None: + edges = [[i, (i + 1) % nodes] for i in range(nodes)] + doc = { + "problem_id": problem_id, + "problem_type": "maxcut", + "family": "maxcut", + "schema_version": 1, + "sense": "maximize", + "node_count": nodes, + "edges": edges, + "generation": {"seed": seed, "edge_probability": 0.4}, + } + path.parent.mkdir(parents=True, exist_ok=True) + path.write_text(json.dumps(doc), encoding="utf-8") + + +def _make_service(base: Path) -> VariaQService: + problems_dir = base / "problems" + reports_dir = base / "reports" + problems_dir.mkdir(parents=True, exist_ok=True) + reports_dir.mkdir(parents=True, exist_ok=True) + return VariaQService( + db_path=base / "variaq.sqlite3", problems_dir=problems_dir, reports_dir=reports_dir + ) + + +@pytest.fixture +def web_env(tmp_path): + """A service + client over a synthetic SQLite DB with seeded runs.""" + from variaq.models import ExperimentRun, SolverConfig, utc_now + from variaq.problems.maxcut import MaxCutProblem + from variaq.solvers.base import get_solver + + service = _make_service(tmp_path) + + problem = MaxCutProblem.generate(6, 0.5, 11) + for solver_name in ("exact", "heuristic"): + solver = get_solver(solver_name) + result = solver.solve(problem, SolverConfig(seed=3)) + service.store.save( + ExperimentRun( + run_id=f"run-test-{solver_name}", + benchmark_id=None, + created_at=utc_now(), + problem=problem.to_dict(), + solver_config=SolverConfig(seed=3), + result=result, + environment={"packages": {"variaq": "0.7.0"}}, + ) + ) + client = TestClient(create_app(service)) + return { + "service": service, + "client": client, + "db": service.db_path, + "problems_dir": service.problems_dir, + "reports_dir": service.reports_dir, + "problem": problem, + } + + +@pytest.fixture +def empty_web_env(tmp_path): + base = tmp_path / "empty" + service = _make_service(base) + return {"service": service, "client": TestClient(create_app(service))} diff --git a/tests/web/test_api.py b/tests/web/test_api.py new file mode 100644 index 0000000..77ae768 --- /dev/null +++ b/tests/web/test_api.py @@ -0,0 +1,109 @@ +"""Read-only API tests: capabilities, problems, runs, campaigns, analysis, reports.""" + +from __future__ import annotations + + +def test_capabilities(web_env): + data = web_env["client"].get("/api/v1/capabilities").json() + assert data["variaq"]["version"] + assert data["physical_qpu"]["supported"] is False + solver_names = [s["name"] for s in data["solvers"]] + assert "exact" in solver_names and "heuristic" in solver_names + # Solver matrices are dynamic from VariaQ, not hardcoded in the frontend. + exact = next(s for s in data["solvers"] if s["name"] == "exact") + assert "maxcut" in exact["supported_families"] + + +def test_overview_counts_and_recents(web_env): + data = web_env["client"].get("/api/v1/overview").json() + assert data["counts"]["runs"] == 2 + assert data["counts"]["problems"] == 1 + assert data["counts"]["campaigns"] == 0 + assert len(data["recent_runs"]) == 2 + + +def test_empty_dashboard_overview(empty_web_env): + data = empty_web_env["client"].get("/api/v1/overview").json() + assert data["counts"] == {"problems": 0, "runs": 0, "campaigns": 0, "reports": 0} + assert data["recent_runs"] == [] + page = empty_web_env["client"].get("/") + assert page.status_code == 200 + + +def test_problem_list_and_detail(web_env): + problem_id = web_env["problem"].problem_id + listing = web_env["client"].get("/api/v1/problems").json() + assert listing["total"] == 1 + row = listing["problems"][0] + assert row["problem_id"] == problem_id + assert row["sense"] == "maximize" + assert row["size"]["nodes"] == 6 + + detail = web_env["client"].get(f"/api/v1/problems/{problem_id}").json() + assert detail["family"] == "maxcut" + assert detail["exact_objective"] is not None + assert detail["runs"]["total"] == 2 + + +def test_problem_filters(web_env): + ok = web_env["client"].get("/api/v1/problems?family=maxcut").json() + assert ok["total"] == 1 + miss = web_env["client"].get("/api/v1/problems?family=assignment").json() + assert miss["total"] == 0 + search = web_env["client"].get("/api/v1/problems?search=nope").json() + assert search["total"] == 0 + + +def test_runs_list_filters_and_pagination(web_env): + data = web_env["client"].get("/api/v1/runs").json() + assert data["total"] == 2 + + exact_only = web_env["client"].get("/api/v1/runs?solver=exact").json() + assert exact_only["total"] == 1 + assert exact_only["runs"][0]["solver_name"] == "exact" + + page = web_env["client"].get("/api/v1/runs?limit=1&offset=1").json() + assert page["total"] == 2 + assert len(page["runs"]) == 1 + + bad_status = web_env["client"].get("/api/v1/runs?status=bogus") + assert bad_status.status_code == 400 + + +def test_run_detail_scientific_fields(web_env): + data = web_env["client"].get("/api/v1/runs/run-test-exact").json() + result = data["result"] + # Objective is stored distinctly from quantum expectation/energy metadata. + assert result["objective"] is not None + assert "optimized_expected_objective" not in result # not conflated at top level + assert data["campaigns"] == [] + assert data["rerun_of"] is None + + +def test_missing_resources_are_404(web_env): + assert web_env["client"].get("/api/v1/runs/run-nope").status_code == 404 + assert web_env["client"].get("/api/v1/problems/nope").status_code == 404 + assert web_env["client"].get("/api/v1/campaigns/campaign-nope").status_code == 404 + assert web_env["client"].get("/api/v1/reports/report-nope").status_code == 404 + + +def test_run_and_campaign_limit_bounds(web_env): + assert web_env["client"].get("/api/v1/runs?limit=0").status_code == 400 + assert web_env["client"].get("/api/v1/runs?limit=1001").status_code == 400 + assert web_env["client"].get("/api/v1/runs?offset=-1").status_code == 400 + assert web_env["client"].get("/api/v1/campaigns?limit=5001").status_code == 400 + + +def test_html_pages_render(web_env): + for page in ( + "/", + "/problems", + "/runs", + "/campaigns", + "/campaigns/new", + "/reports", + "/capabilities", + ): + response = web_env["client"].get(page) + assert response.status_code == 200, page + assert " 500 + assert body["exceeds_default_max"] is True + assert any("maximum" in w for w in body["warnings"]) + + +def test_campaign_run_guard_blocks_without_override(web_env): + # Exceeds VariaQ's DEFAULT_MAX_RUNS while staying inside the API schema's + # field bounds, so the VariaQ guard (not the schema) is what fires. + definition = _definition( + sizes=list(range(1, 18)), + seeds=list(range(1, 16)), + solvers=("exact", "heuristic"), + repeats=1, + ) + assert 17 * 15 * 2 > 500 + response = web_env["client"].post("/api/v1/campaigns/run", json={"definition": definition}) + assert response.status_code == 200 + task = _wait_for_task(web_env["client"], response.json()["task"]["task_id"]) + assert task["status"] == "failed" + assert "maximum" in task["error"]["message"] + + +def test_campaign_run_small_succeeds(web_env): + response = web_env["client"].post( + "/api/v1/campaigns/run", json={"definition": _definition(sizes=(4,), seeds=(1,))} + ) + task = _wait_for_task(web_env["client"], response.json()["task"]["task_id"]) + assert task["status"] == "completed" + campaign_id = task["campaign_id"] + detail = web_env["client"].get(f"/api/v1/campaigns/{campaign_id}").json() + assert detail["completed_runs"] == 2 + + +def test_campaign_run_conflict_returns_409(web_env): + """A second campaign cannot start while one runs.""" + import threading + + from fastapi.testclient import TestClient + + from variaq.web.app import create_app + from variaq.web.tasks import CampaignTask, CampaignTaskManager + + manager = CampaignTaskManager() + with manager._lock: + manager._current = CampaignTask(task_id="task-busy", status="running") + manager._thread = threading.Thread(target=lambda: None) + app = create_app(web_env["service"], task_manager=manager) + client = TestClient(app) + response = client.post("/api/v1/campaigns/run", json={"definition": _definition()}) + assert response.status_code == 409 + + +def _run_small_campaign(client): + response = client.post("/api/v1/campaigns/run", json={"definition": _definition()}) + task = _wait_for_task(client, response.json()["task"]["task_id"]) + assert task["status"] == "completed" + return task["campaign_id"] + + +def test_analysis_campaign(web_env): + campaign_id = _run_small_campaign(web_env["client"]) + analysis = ( + web_env["client"] + .post( + f"/api/v1/analysis/campaigns/{campaign_id}", + json={"group_by": ["problem_id", "solver"]}, + ) + .json() + ) + assert len(analysis["source_run_ids"]) == 2 + assert analysis["groups"] + first = analysis["groups"][0] + assert "quality" in first and "feasibility" in first and "timing" in first + # Query intent is echoed back for provenance. + assert analysis["query"]["campaign_id"] == campaign_id + + +def test_analysis_requires_selection(web_env): + response = web_env["client"].post("/api/v1/analysis/runs", json={}) + assert response.status_code == 400 + + +def test_report_generate_and_download(web_env): + campaign_id = _run_small_campaign(web_env["client"]) + created = ( + web_env["client"] + .post( + f"/api/v1/reports/campaigns/{campaign_id}", + json={"formats": ["json", "markdown"]}, + ) + .json() + ) + report_id = created["report_id"] + + listing = web_env["client"].get("/api/v1/reports").json() + assert listing["total"] == 1 + entry = listing["reports"][0] + assert entry["report_id"] == report_id + assert entry["source_run_count"] == 2 + assert set(entry["formats"]) == {"json", "markdown"} + + download = web_env["client"].get(f"/api/v1/reports/{report_id}/files/{report_id}.json") + assert download.status_code == 200 + + +def test_report_without_runs_fails(web_env): + response = web_env["client"].post( + "/api/v1/reports/campaigns/campaign-nothing", json={"formats": ["json"]} + ) + assert response.status_code in (400, 404) diff --git a/tests/web/test_web_contracts.py b/tests/web/test_web_contracts.py new file mode 100644 index 0000000..985c740 --- /dev/null +++ b/tests/web/test_web_contracts.py @@ -0,0 +1,166 @@ +"""Contract tests: scientific label separation, provenance, objective sense.""" + +from __future__ import annotations + +import json +import time +from pathlib import Path + +STATIC = Path(__file__).parent.parent.parent / "src" / "variaq" / "web" / "static" +TEMPLATES = Path(__file__).parent.parent.parent / "src" / "variaq" / "web" / "templates" + + +def test_js_distinguishes_objective_expectation_bqm_energy(): + app_js = (STATIC / "app.js").read_text(encoding="utf-8") + assert '["Objective (decoded solution)"' in app_js + assert "Expectation (optimized candidate)" in app_js + assert "BQM energy, best decoded sample (lowered)" in app_js + # No display path presents expectation as the objective. + assert '["Objective"' not in app_js.replace('["Objective (decoded solution)"', "") + + +def test_js_distinguishes_feasible_and_infeasible_samples(): + app_js = (STATIC / "app.js").read_text(encoding="utf-8") + assert "Feasible samples" in app_js + assert "Infeasible samples" in app_js + + +def test_secondary_bundle_and_charts_have_bounded_browser_layout(): + """Guard the real-browser failures found during 0.7 release hardening.""" + app2_js = (STATIC / "app2.js").read_text(encoding="utf-8") + campaign_template = (TEMPLATES / "campaign_detail.html").read_text(encoding="utf-8") + css = (STATIC / "app.css").read_text(encoding="utf-8") + + # app.js and app2.js are classic scripts. app2 must have a private lexical + # scope so destructured helper names do not redeclare app.js globals. + assert app2_js.index("(function () {") < app2_js.index("const { apiGet") + assert app2_js.rstrip().endswith("})();") + + # Chart.js with maintainAspectRatio=false needs a fixed-height parent; + # otherwise responsive grid sizing can create a runaway resize loop. + assert campaign_template.count('class="chart-canvas"') == 4 + assert ".chart-canvas { position: relative; height: 220px; }" in css + + +def test_run_detail_surfaces_bounded_escaped_run_messages(): + app_js = (STATIC / "app.js").read_text(encoding="utf-8") + assert "(r.warnings || []).slice(0, 10)" in app_js + assert "(r.errors || []).slice(0, 10)" in app_js + assert "warnings.map(w => `
  • ${esc(w)}
    • `" in app_js + assert "errors.map(error => `
  • ${esc(error)}
    • `" in app_js + + +def test_js_renders_known_links_without_trusting_api_text(): + app_js = (STATIC / "app.js").read_text(encoding="utf-8") + app2_js = (STATIC / "app2.js").read_text(encoding="utf-8") + assert "function html(value)" in app_js + assert 'Object.hasOwn(v, "variaqSafeHtml")' in app_js + assert '["Problem", html(' in app_js + assert '? html(`