diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 642f512..43126ec 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -66,6 +66,26 @@ jobs: - name: Run tests run: uv run pytest --cov --cov-report=term-missing + docs: + name: Build documentation + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 + with: + persist-credentials: false + + - name: Install uv + uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1 + with: + enable-cache: true + + - name: Install dependencies + run: uv sync --locked --no-dev --group docs --python 3.14 + + # Warnings, such as a broken cross-reference, fail the build. + - name: Build the site + run: uv run --no-sync sphinx-build -M html docs docs/_build -W --keep-going -n + build: name: Build and verify distributions runs-on: ubuntu-latest @@ -125,7 +145,7 @@ jobs: ci-passed: name: CI passed if: always() - needs: [lint, test, build] + needs: [lint, test, docs, build] runs-on: ubuntu-latest steps: - name: Fail if any job did not succeed diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml new file mode 100644 index 0000000..ae84617 --- /dev/null +++ b/.github/workflows/docs.yml @@ -0,0 +1,54 @@ +name: Docs + +on: + push: + branches: [main] + workflow_dispatch: + +permissions: + contents: read + +# One deployment at a time, and never cancel one halfway through. +concurrency: + group: pages + cancel-in-progress: false + +jobs: + build: + name: Build documentation + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1 + with: + persist-credentials: false + + # No dependency cache: what gets published should not depend on a cache that other + # workflows can write to. + - name: Install uv + uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1 + + - name: Install dependencies + run: uv sync --locked --no-dev --group docs --python 3.14 + + - name: Build the site + run: uv run --no-sync sphinx-build -M html docs docs/_build -W --keep-going -n + + - name: Upload the site + uses: actions/upload-pages-artifact@fc324d3547104276b827a68afc52ff2a11cc49c9 # v5.0.0 + with: + path: docs/_build/html + + deploy: + name: Deploy to GitHub Pages + needs: build + runs-on: ubuntu-latest + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + permissions: + pages: write + id-token: write + steps: + - name: Deploy + id: deployment + uses: actions/deploy-pages@368f82528645a54fb793d4d04e342629a3f51346 # v5.0.1 diff --git a/.gitignore b/.gitignore index a1df979..f2d9ffa 100644 --- a/.gitignore +++ b/.gitignore @@ -17,3 +17,4 @@ dist/ .DS_Store .coverage htmlcov/ +docs/_build/ diff --git a/CHANGELOG.md b/CHANGELOG.md index 74bc51b..54c9787 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,18 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Documentation + +- A documentation site at , with a getting + started guide, a user guide and an API reference generated from the docstrings. It is + built with Sphinx and deployed to GitHub Pages whenever `main` changes. The package's + `Documentation` link points to it from the next release on. +- The README is shorter and links to the site for details. +- Public functions and types have full docstrings, with parameters, return values and + exceptions. +- The Python examples in the README and the documentation run as part of the test suite, + and CI builds the site on every pull request, failing on any warning. + ## [1.0.2] - 2026-09-30 ### Fixed diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 8d83eac..e90aca9 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -41,16 +41,32 @@ machine and Python version, without coverage instrumentation: uv run python benchmarks/overhead.py --number 100000 --repeat 9 ``` -See [benchmarks/README.md](benchmarks/README.md) for methodology and reference results. +See [benchmarks/README.md](https://github.com/seba2390/ExecutionTimer/blob/main/benchmarks/README.md) for methodology and reference results. Timing results are advisory rather than CI pass/fail thresholds. +## Documentation + +The documentation site is built with [Sphinx](https://www.sphinx-doc.org/) from the +Markdown pages in `docs/` and the docstrings in `src/`. To build and preview it: + +```bash +uv run --group docs sphinx-build -M html docs docs/_build -W --keep-going -n +``` + +Then open `docs/_build/html/index.html`. CI builds the site on every pull request and fails +on any warning, such as a broken cross-reference. Changes merged into `main` are published +to [GitHub Pages](https://seba2390.github.io/ExecutionTimer/) automatically. + +The Python examples in `docs/` and `README.md` run as part of the test suite, so keep them +self-contained and runnable. + ## Guidelines - Tests exercise the **public API** only — import from `execution_timer`, not `execution_timer._timer`. This keeps internals free to change. - Every behaviour change needs a test that fails before the fix and passes after it. - Public functions carry type annotations and a one-line docstring. -- Add an entry under `## [Unreleased]` in [CHANGELOG.md](CHANGELOG.md). +- Add an entry under `## [Unreleased]` in [CHANGELOG.md](https://github.com/seba2390/ExecutionTimer/blob/main/CHANGELOG.md). ## Releasing @@ -68,7 +84,7 @@ Maintainers only: 5. Publish a GitHub release tagged `vX.Y.Z`, targeting the merged commit on `main`. Use that version's changelog entries as release notes. -The [Publish to PyPI workflow](.github/workflows/publish.yml) runs when a GitHub release +The [Publish to PyPI workflow](https://github.com/seba2390/ExecutionTimer/blob/main/.github/workflows/publish.yml) runs when a GitHub release is **published**. Pushing to `main`, pushing a tag alone, or saving a draft release does not trigger it. The workflow builds and validates the distributions, checks that the tag matches `__version__`, and uploads them to PyPI via Trusted Publishing. No manual diff --git a/README.md b/README.md index 8a9a06b..f06d8ab 100644 --- a/README.md +++ b/README.md @@ -11,27 +11,16 @@ Python versions CI License - Typed + Documentation

-Time named sections of your code with a `with` block or a decorator. Nested sections -automatically form a hierarchy, so you get a breakdown of where time actually went — not -just a single number. +Time named sections of your code with a `with` block or a decorator. Sections nested inside +each other form a tree, so you see where the time actually went, not just one number at the +end. -Zero dependencies. Fully type annotated. Works with threads and `asyncio`. +Zero dependencies. Fully typed. Works with threads and `asyncio`. -## Features - -- ⏱️ **One primitive** — `TimerContext` is both a context manager and a decorator -- 🌳 **Automatic hierarchy** — nesting `with` blocks nests the report, no wiring required -- 🏷️ **User-defined categories** — tag sections with any string (`"gpu"`, `"io"`, `"db"`) and get per-category totals -- ⚡ **Native async** — decorating an `async def` times the whole `await`, not the coroutine object -- 🧵 **Thread and task safe** — context stacks are isolated per thread and per asyncio task, - including on free-threaded Python builds -- 🔢 **Loop counters** — time each iteration separately, then merge them back together -- 📤 **JSON export** — structured output for dashboards, CI, or an LLM -- 🚫 **Nesting rules** — optionally forbid one category inside another to catch mistakes early -- 📦 **Zero dependencies** +**Documentation: [seba2390.github.io/ExecutionTimer](https://seba2390.github.io/ExecutionTimer/)** ## Installation @@ -39,17 +28,8 @@ Zero dependencies. Fully type annotated. Works with threads and `asyncio`. pip install executiontimer ``` -```bash -uv add executiontimer -``` - -Requires Python 3.11+. - -> **Note** — the install name is `executiontimer`, the import name is `execution_timer`: -> -> ```python -> from execution_timer import TimerContext -> ``` +Requires Python 3.11+. The install name is `executiontimer`; the import name is +`execution_timer`. ## Quick start @@ -80,222 +60,25 @@ solve: 0.1937 s (61.38%) .. postprocess: 0.0350 s (11.10%) ``` -Indentation reflects nesting. Percentages are relative to the total of all top-level -sections, so nested entries show their share of the whole run. - -## Usage - -### As a decorator +`TimerContext` also works as a decorator, including on `async def` functions: ```python -from execution_timer import TimerContext - - @TimerContext("preprocess") def preprocess(rows: list[str]) -> list[str]: return [row.strip() for row in rows] ``` -Coroutine functions are supported natively — the timing spans the entire `await`: - -```python -@TimerContext("fetch", category="io") -async def fetch(url: str) -> bytes: ... -``` - -This also holds when another decorator sits between `TimerContext` and the `async def` -and returns its coroutine: the section covers both the call and the `await`. - -Generator functions (including `async` generators) cannot be decorated and raise a -`TypeError`: the decorator would time only the creation of the generator object, not its -iteration. Time the loop that consumes the generator with a `with` block instead. - -### Counters - -Pass `counter=i` to time loop iterations separately. The report merges them by default -(`flatten=True`) and keeps them apart when you ask for it: - -```python -for i in range(3): - with TimerContext("step", counter=i): - ... - -get_execution_timings(flatten=True) # {("step",): {"time": 0.158, ...}} -get_execution_timings(flatten=False) # {("step[0]",): ..., ("step[1]",): ..., ...} -``` - -Flattening removes the final integer suffix (including negative counters). Other -bracketed names such as `array[index]` are preserved. Flattening cannot tell a counter -from a name you wrote yourself, so sections named `"row[1]"` and `"row[2]"` are also merged -into `row`; use `flatten=False` to keep them apart. If merged entries have different -categories, the category from the most recently entered section is used. - -Each counter value is stored as its own section until `clear_execution_timings()` is -called, so a long-running process that times an unbounded loop with `counter=` keeps -growing the registry. Clear it periodically, or drop `counter=` to accumulate into one -section. - -### Categories - -Categories are plain strings — use whatever fits your domain: - -```python -from execution_timer import get_total_category_time - -with TimerContext("matmul", category="gpu"): - ... - -get_total_category_time("gpu") -``` - -`get_total_category_time` counts only the *top-most* section of a category, so a `gpu` -section nested inside another `gpu` section is not double-counted. - -Repeated calls to the same path accumulate time. If its category changes, the latest -category applies to that path's entire accumulated time. Use consistent categories per -path when you need separate category totals. - -You can also forbid a category from appearing inside another, which raises a `ValueError` -as soon as the invalid nesting happens: - -```python -from execution_timer import register_forbidden_nesting - -register_forbidden_nesting(outer="gpu", inner="cpu") - -with TimerContext("kernel", category="gpu"): - with TimerContext("reduce", category="cpu"): # ValueError - ... -``` - -### JSON export - -`get_execution_times_json` and `save_execution_timings_json` emit a structured snapshot — -convenient for dashboards, CI artifacts, or handing to a language model: - -```python -from execution_timer import save_execution_timings_json - -save_execution_timings_json("timings.json") -``` - -```json -{ - "total_time": 0.31556, - "total_category_time": { "cpu": 0.035024, "default": 0.31556, "gpu": 0.158528 }, - "sections": [ - { "name": "load_data", "path": ["load_data"], "time": 0.121869, "category": "default" }, - { "name": "solve", "path": ["solve"], "time": 0.193691, "category": "default" }, - { "name": "step", "path": ["solve", "step"], "time": 0.158528, "category": "gpu" }, - { "name": "postprocess", "path": ["solve", "postprocess"], "time": 0.035024, "category": "cpu" } - ] -} -``` - -Sections and totals come from one snapshot. Category totals use the original paths, -even when flattening merges sections with different categories. - -### Concurrency - -The recorded timings live in one process-wide registry guarded by a lock. The *active -context stack* is stored in a `ContextVar`, so it is isolated per thread and per asyncio -task: concurrently recorded sections nest independently and merge into a single report. - -```python -async def worker(n: int) -> None: - with TimerContext(f"task{n}"): - await fetch(...) # recorded as ("task{n}", "fetch") - - -await asyncio.gather(worker(0), worker(1)) -``` - -Overlapping calls to the same section path are supported: each call keeps its own start -time, and their durations are added together. These totals measure accumulated elapsed -time and can exceed wall-clock duration. Use distinct names (or `counter=`) to report -concurrent calls separately. - -New asyncio tasks inherit the timing context in which they are created. Their sections -nest under that parent; changes to each task's active stack remain independent. Await -child tasks inside the parent section if you want the parent duration to include them. - -New threads do *not* inherit the timing context, so sections recorded in a thread -appear at the top level of the report, and their time is added to the total alongside -the section that started the thread. To nest thread work under the current section, run -it with `contextvars.copy_context().run(...)` or `asyncio.to_thread(...)`. Either way, -concurrent threads accumulate overlapping time. (Free-threaded builds of Python 3.14 make -threads inherit the context by default.) - -Generators run in their caller's context. A `with TimerContext(...)` block that stays open -across a `yield` therefore also contains whatever the caller times while the generator is -paused, and its duration includes that paused time. Close sections before yielding, or -time the loop that consumes the generator instead. - -If the caller's section exits while a paused generator's section is still open, the -timer never raises: it emits a `RuntimeWarning`, records the caller's section, and -discards the generator's unfinished one, so later sections nest correctly. Closing that -generator afterwards does nothing. If warnings are configured as errors, the warning is -raised only after that cleanup, so the timings and nesting stay consistent. - -### Reusing contexts and clearing timings - -A `TimerContext` can be reused, nested within itself, or shared by concurrent calls. -For a tight loop, reuse a context to avoid constructing one on every iteration: - -```python -step_timer = TimerContext("step") -for item in items: - with step_timer: - process(item) -``` - -Timings accumulate until `clear_execution_timings()` is called. Clearing also discards -samples from sections that were already active, without disturbing their nesting stack. -Sections started after the clear are recorded normally; if their parent was cleared, they -are reported as top-level sections and count toward the total. Reports include completed calls; -an active section's current duration is added only when it exits. - -### Measuring overhead - -Run the repeatable benchmark with `uv run python benchmarks/overhead.py`. It measures -fresh and reused contexts, sync and async decorators, nesting, and reporting. Compare -results using the same interpreter and machine; see [benchmarks/README.md](https://github.com/seba2390/ExecutionTimer/blob/main/benchmarks/README.md). - -## API - -| Function | Description | -| --- | --- | -| `TimerContext(name, category=DEFAULT_CATEGORY, counter=None)` | Context manager **and** decorator for timing a section. | -| `get_execution_times_report(*, flatten=True)` | Formatted, indented report of all sections (`""` if none). | -| `log_execution_times(*, flatten=True, logger=None)` | Log that report at `INFO` level (a warning if empty); a no-op if `INFO` is disabled. | -| `get_execution_timings(*, flatten=True)` | Timings as `dict[tuple[str, ...], TimingReport]`. | -| `get_execution_times_json(*, flatten=True, indent=2)` | All timings as a JSON string. | -| `save_execution_timings_json(path, *, flatten=True, indent=2)` | Write timings to a JSON file; returns the `Path`. | -| `get_total_time()` | Total seconds across all top-level sections. | -| `get_total_category_time(category)` | Total seconds in a category (top-most entries only). | -| `clear_execution_timings()` | Reset all recorded timings. | -| `register_forbidden_nesting(outer, inner)` | Forbid `inner` category directly inside `outer`. | -| `clear_forbidden_nesting()` | Remove all nesting rules. | - -`flatten=True` merges `counter` variants of a section back together; `flatten=False` -keeps each `name[i]` separate. - -Exported types: `TimingReport`, `SectionRecord`, `TimingsPayload`, and `DEFAULT_CATEGORY`. -The package ships a `py.typed` marker, so type checkers use the inline annotations. - -## Development - -Requires [uv](https://docs.astral.sh/uv/). - -```bash -uv sync -uv run pytest --cov -uv run ruff check --fix && uv run ruff format -uv run basedpyright -``` - -See [CONTRIBUTING.md](https://github.com/seba2390/ExecutionTimer/blob/main/CONTRIBUTING.md) for the full workflow, and -[CHANGELOG.md](https://github.com/seba2390/ExecutionTimer/blob/main/CHANGELOG.md) for release notes. +## Learn more + +- [Getting started](https://seba2390.github.io/ExecutionTimer/getting-started.html) +- User guide: [timing code](https://seba2390.github.io/ExecutionTimer/guide/timing-code.html), + [counters](https://seba2390.github.io/ExecutionTimer/guide/counters.html), + [categories](https://seba2390.github.io/ExecutionTimer/guide/categories.html), + [reports and JSON export](https://seba2390.github.io/ExecutionTimer/guide/reports.html), + [threads, asyncio and generators](https://seba2390.github.io/ExecutionTimer/guide/concurrency.html) +- [API reference](https://seba2390.github.io/ExecutionTimer/api.html) +- [Changelog](https://github.com/seba2390/ExecutionTimer/blob/main/CHANGELOG.md) and + [contributing guide](https://github.com/seba2390/ExecutionTimer/blob/main/CONTRIBUTING.md) ## License diff --git a/docs/_static/icon-dark.svg b/docs/_static/icon-dark.svg new file mode 100644 index 0000000..cac79c4 --- /dev/null +++ b/docs/_static/icon-dark.svg @@ -0,0 +1,34 @@ + + executiontimer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/_static/icon-light.svg b/docs/_static/icon-light.svg new file mode 100644 index 0000000..3d1e918 --- /dev/null +++ b/docs/_static/icon-light.svg @@ -0,0 +1,34 @@ + + executiontimer + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/api.md b/docs/api.md new file mode 100644 index 0000000..936c54d --- /dev/null +++ b/docs/api.md @@ -0,0 +1,72 @@ +# API reference + +Everything below is importable from `execution_timer`. The public API follows +[semantic versioning](https://semver.org/): it only changes incompatibly in a new major +version. + +```python +from execution_timer import TimerContext, get_execution_times_report +``` + +## Timing + +```{eval-rst} +.. autoclass:: execution_timer.TimerContext + :special-members: __call__ + +.. py:data:: execution_timer.DEFAULT_CATEGORY + :type: str + :value: "default" + + The category of sections created without one. +``` + +## Reports + +```{eval-rst} +.. autofunction:: execution_timer.get_execution_times_report +.. autofunction:: execution_timer.log_execution_times +.. autofunction:: execution_timer.get_execution_timings +.. autofunction:: execution_timer.get_total_time +.. autofunction:: execution_timer.get_total_category_time +``` + +## JSON export + +```{eval-rst} +.. autofunction:: execution_timer.get_execution_times_json +.. autofunction:: execution_timer.save_execution_timings_json +``` + +## Managing timings and rules + +```{eval-rst} +.. autofunction:: execution_timer.clear_execution_timings +.. autofunction:: execution_timer.register_forbidden_nesting +.. autofunction:: execution_timer.clear_forbidden_nesting +``` + +## Types + +These are {class}`~typing.TypedDict` classes: at runtime the values are plain +dictionaries, and the classes exist for type checkers. + +```{eval-rst} +.. autoclass:: execution_timer.TimingReport + :members: + +.. autoclass:: execution_timer.TimingsPayload + :members: + +.. autoclass:: execution_timer.SectionRecord + :members: +``` + +## Version + +```{eval-rst} +.. py:data:: execution_timer.__version__ + :type: str + + The installed version, for example ``"1.0.2"``. +``` diff --git a/docs/changelog.md b/docs/changelog.md new file mode 100644 index 0000000..66efc0f --- /dev/null +++ b/docs/changelog.md @@ -0,0 +1,2 @@ +```{include} ../CHANGELOG.md +``` diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 0000000..ac74643 --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,90 @@ +"""Sphinx configuration for the executiontimer documentation.""" + +from datetime import date + +import execution_timer + +project = "executiontimer" +author = "Sebastian Yde Madsen" +copyright = f"{date.today().year}, {author}" +release = execution_timer.__version__ +version = release + +extensions = [ + "myst_parser", + "sphinx.ext.autodoc", + "sphinx.ext.napoleon", + "sphinx.ext.intersphinx", + "sphinx.ext.viewcode", + "sphinx_copybutton", + "sphinx_design", +] + +exclude_patterns = ["_build"] +nitpicky = True + +# Markdown pages +myst_enable_extensions = ["colon_fence", "deflist", "fieldlist"] +myst_heading_anchors = 3 + +# API reference +autodoc_member_order = "bysource" +autodoc_typehints = "description" +autodoc_typehints_description_target = "documented" +autodoc_preserve_defaults = True +napoleon_google_docstring = True +napoleon_numpy_docstring = False +napoleon_use_rtype = False +intersphinx_mapping = {"python": ("https://docs.python.org/3", None)} + +# Type variables in decorator signatures have no page of their own. +nitpick_ignore_regex = [("py:class", r"(~|execution_timer\._timer\.)?[PRT]")] + +# HTML output +# The GitHub mark from Primer Octicons (mark-github-16). +_GITHUB_MARK = ( + '' +) + +html_theme = "furo" +html_title = "executiontimer" +html_static_path = ["_static"] +html_favicon = "_static/icon-light.svg" +html_copy_source = False +html_show_sourcelink = False +html_theme_options = { + "light_logo": "icon-light.svg", + "dark_logo": "icon-dark.svg", + "source_repository": "https://github.com/seba2390/ExecutionTimer/", + "source_branch": "main", + "source_directory": "docs/", + "light_css_variables": { + "color-brand-primary": "#4F46E5", + "color-brand-content": "#4F46E5", + "color-brand-visited": "#4F46E5", + }, + "dark_css_variables": { + "color-brand-primary": "#818CF8", + "color-brand-content": "#818CF8", + "color-brand-visited": "#818CF8", + }, + "footer_icons": [ + { + "name": "GitHub", + "url": "https://github.com/seba2390/ExecutionTimer", + "html": _GITHUB_MARK, + "class": "", + }, + ], +} +copybutton_exclude = ".linenos, .gp, .go" diff --git a/docs/contributing.md b/docs/contributing.md new file mode 100644 index 0000000..78caf34 --- /dev/null +++ b/docs/contributing.md @@ -0,0 +1,2 @@ +```{include} ../CONTRIBUTING.md +``` diff --git a/docs/getting-started.md b/docs/getting-started.md new file mode 100644 index 0000000..f96d9fb --- /dev/null +++ b/docs/getting-started.md @@ -0,0 +1,162 @@ +# Getting started + +This page takes you from installing the package to reading your first report. It takes +about five minutes. + +## Install + +`executiontimer` needs Python 3.11 or newer and has no dependencies. + +::::{tab-set} +:::{tab-item} pip +```bash +pip install executiontimer +``` +::: +:::{tab-item} uv +```bash +uv add executiontimer +``` +::: +:::: + +The install name is `executiontimer`, but the module you import is `execution_timer`: + +```python +from execution_timer import TimerContext +``` + +## Time a section + +Wrap the code you want to measure in a `with TimerContext(...)` block and give it a name: + +```python +import time + +from execution_timer import TimerContext, get_execution_times_report + +with TimerContext("load_data"): + time.sleep(0.1) + +print(get_execution_times_report()) +``` + +```text +Total time: 0.1035 s. + +load_data: 0.1035 s (100.00%) +``` + +Timings are recorded in one registry for the whole process. Every section you time, in any +module, ends up in the same report. + +## Nest sections + +A section started inside another one is recorded beneath it. You don't pass parents around: +the nesting of your code is the nesting of the report. + +```python +from execution_timer import clear_execution_timings + +clear_execution_timings() + +with TimerContext("pipeline"): + with TimerContext("load"): + time.sleep(0.02) + with TimerContext("transform"): + time.sleep(0.05) + with TimerContext("validate"): + time.sleep(0.01) + +print(get_execution_times_report()) +``` + +```text +Total time: 0.0905 s. + +pipeline: 0.0905 s (100.00%) +.. load: 0.0232 s (25.60%) +.. transform: 0.0673 s (74.32%) +.. .. validate: 0.0126 s (13.88%) +``` + +How to read the report: + +- **Indentation** shows nesting. `validate` ran inside `transform`, which ran inside + `pipeline`. +- **Total time** is the sum of the top-level sections. Nested sections are part of their + parent's time, so they aren't added again. +- **Percentages** are shares of the total, at every level. `validate` took 13.88% of the + whole run, not 13.88% of `transform`. + +Calling {func}`~execution_timer.clear_execution_timings` starts over with an empty +registry. + +## Use it as a decorator + +The same object works as a decorator. Every call to the function is timed and added to the +same section: + +```python +@TimerContext("parse") +def parse(line: str) -> list[str]: + return line.split(",") + + +for line in ["a,b", "c,d", "e,f"]: + parse(line) +``` + +Decorated calls nest like `with` blocks: calling `parse` inside `pipeline` records it as +`pipeline` › `parse`. `async def` functions work too, and the timing covers the whole +`await`. See {doc}`guide/timing-code`. + +## Group sections with categories + +Tag sections with a category to total them across the tree: + +```python +from execution_timer import get_total_category_time + +with TimerContext("download", category="io"): + time.sleep(0.02) +with TimerContext("save", category="io"): + time.sleep(0.01) + +print(f"{get_total_category_time('io'):.2f} s spent on I/O") +``` + +```text +0.03 s spent on I/O +``` + +Categories are plain strings, so use whatever fits your code. See {doc}`guide/categories`. + +## Get the numbers out + +Besides the text report, you can get the timings as data: + +```python +from execution_timer import get_execution_timings, get_total_time, log_execution_times + +get_total_time() # seconds across all top-level sections +get_execution_timings() # {("pipeline", "load"): {"time": 0.02, "category": "default"}, ...} +log_execution_times() # the report, logged at INFO level +``` + +Or as JSON for a dashboard, a CI artifact or a language model: + +```python +from execution_timer import save_execution_timings_json + +save_execution_timings_json("timings.json") +``` + +See {doc}`guide/reports` for the formats. + +## Next steps + +- {doc}`guide/timing-code`: decorators, async functions, exceptions and recursion. +- {doc}`guide/counters`: timing each iteration of a loop. +- {doc}`guide/concurrency`: threads, asyncio tasks and generators. +- {doc}`api`: every function and type. diff --git a/docs/guide/categories.md b/docs/guide/categories.md new file mode 100644 index 0000000..58664a0 --- /dev/null +++ b/docs/guide/categories.md @@ -0,0 +1,90 @@ +# Categories + +A category is any string you attach to a section to group it with others, such as `"io"`, +`"gpu"`, `"db"` or `"cpu"`. Sections without one get +{data}`~execution_timer.DEFAULT_CATEGORY`, `"default"`. + +```python +import time + +from execution_timer import TimerContext, get_execution_timings, get_total_category_time + +with TimerContext("train"): + with TimerContext("load_batch", category="io"): + time.sleep(0.02) + with TimerContext("forward", category="gpu"): + time.sleep(0.03) + with TimerContext("save_checkpoint", category="io"): + time.sleep(0.01) + +timings = get_execution_timings() +io_sections = timings["train", "load_batch"]["time"] + timings["train", "save_checkpoint"]["time"] +assert get_total_category_time("io") == io_sections +``` + +## How category totals are counted + +{func}`~execution_timer.get_total_category_time` adds up the **top-most** section of the +category along each branch. A section nested inside another section of the same category +is already part of that section's time, so it isn't counted again: + +```python +from execution_timer import clear_execution_timings + +clear_execution_timings() + +with TimerContext("query", category="db"): + time.sleep(0.01) + with TimerContext("fetch_rows", category="db"): # already inside "query" + time.sleep(0.02) + +# Only "query" counts; "fetch_rows" is already part of its time. +assert get_total_category_time("db") == get_execution_timings()[("query",)]["time"] +``` + +Sections of other categories in between don't change this. A `db` section inside an `io` +section inside another `db` section still counts only once. + +A category with no sections totals `0.0`. The JSON export includes every category's total +in one go; see {doc}`reports`. + +## One category per section + +Repeated entries of the same section add to one total. If you enter the same path with a +different category, the latest category applies to the section's *whole* accumulated time. +Keep one category per section path if you need the totals to stay apart. + +## Forbidding a nesting + +Some combinations are mistakes, for example CPU-side work inside a section meant to +measure pure GPU time. {func}`~execution_timer.register_forbidden_nesting` turns them into +an error at the moment they happen: + +```python +from execution_timer import clear_forbidden_nesting, register_forbidden_nesting + +register_forbidden_nesting(outer="gpu", inner="cpu") + +try: + with TimerContext("kernel", category="gpu"): + with TimerContext("reduce", category="cpu"): + pass +except ValueError as error: + print(error) +``` + +```text +Category 'cpu' is not allowed inside category 'gpu'. +``` + +Entering the inner section raises {class}`ValueError`, and the inner section isn't +recorded. Only the direct parent is checked: a `cpu` section inside an `io` section inside +a `gpu` section is allowed. + +Rules apply to the whole process and persist until you call +{func}`~execution_timer.clear_forbidden_nesting`. Clearing the timings leaves the rules in +place. + +```python +clear_forbidden_nesting() +``` diff --git a/docs/guide/concurrency.md b/docs/guide/concurrency.md new file mode 100644 index 0000000..100a15a --- /dev/null +++ b/docs/guide/concurrency.md @@ -0,0 +1,132 @@ +# Threads, asyncio and generators + +`executiontimer` is safe to use from any number of threads and asyncio tasks, including on +free-threaded Python builds. This page explains how sections from concurrent code nest and +add up. + +## How it works + +Two pieces of state are involved: + +- **The registry** of recorded timings is shared by the whole process and guarded by a + lock. Every thread and task records into it, so everything lands in one report. +- **The active stack**, the list of currently open sections that decides where a new + section nests, lives in a {class}`~contextvars.ContextVar`. Each thread and each asyncio + task has its own, so concurrent code doesn't nest into each other's sections. + +## asyncio tasks + +Each task nests its sections independently. A task inherits the stack of the code that +created it, so its sections appear under the section that was open at that point: + +```python +import asyncio + +from execution_timer import TimerContext, get_execution_timings + + +@TimerContext("fetch", category="io") +async def fetch(delay: float) -> None: + await asyncio.sleep(delay) + + +async def worker(n: int) -> None: + with TimerContext(f"worker{n}"): + await fetch(0.01) + + +async def main() -> None: + with TimerContext("main"): + await asyncio.gather(worker(0), worker(1)) + + +asyncio.run(main()) + +assert set(get_execution_timings()) == { + ("main",), + ("main", "worker0"), + ("main", "worker0", "fetch"), + ("main", "worker1"), + ("main", "worker1", "fetch"), +} +``` + +Await child tasks inside the parent section if you want the parent's time to include +them. A task that is still running when its parent section exits is recorded under it all +the same. + +## Threads + +New threads do **not** inherit the active stack. Sections recorded in a thread appear at the +top level of the report, and their time is added to the total alongside the section that +started the thread: + +```python +from concurrent.futures import ThreadPoolExecutor + +from execution_timer import clear_execution_timings + +clear_execution_timings() + + +@TimerContext("download") +def download(n: int) -> int: + return n + + +with TimerContext("batch"), ThreadPoolExecutor() as pool: + list(pool.map(download, range(4))) # recorded as ("download",), not ("batch", "download") +``` + +To nest thread work under the current section, run it in a copy of the current context +with {func}`contextvars.copy_context`, or use {func}`asyncio.to_thread`, which does that for +you: + +```python +import contextvars + +clear_execution_timings() + +with TimerContext("batch"), ThreadPoolExecutor() as pool: + context = contextvars.copy_context() + pool.submit(context.run, download, 1).result() + +assert ("batch", "download") in get_execution_timings() +``` + +On free-threaded builds of Python 3.14, new threads inherit the context by default, so +thread sections nest without extra work. + +## Overlapping calls add up + +When calls to the same section overlap, from several threads or tasks, each call keeps its +own start time and their durations are added together. Such a total measures accumulated +time and can exceed the wall-clock time. In the asyncio example above, two overlapping +10 ms `fetch` calls would add up to about 20 ms if they shared a path. Give concurrent work +distinct names, or use `counter=`, to report each call separately. + +## Generators + +A generator runs in the context of whoever is iterating it. A section left open across a +`yield` therefore also contains whatever the caller times while the generator is paused, +and its time includes the pause. Close sections before yielding: + +```python +def rows(): + for i in range(3): + with TimerContext("parse_row"): + row = i * 2 # timed + yield row # not timed: the section is closed + + +with TimerContext("import"): + for row in rows(): + pass +``` + +If a section is still open in a paused generator when the caller's section exits, the timer +emits a {class}`RuntimeWarning`, records the caller's section, and discards the generator's +unfinished section so later sections still nest correctly. Closing the generator afterwards +does nothing. The timer never raises from exiting a section, so it can't replace an +exception that is already propagating. Under warnings-as-errors, the warning is raised only +after this cleanup. diff --git a/docs/guide/counters.md b/docs/guide/counters.md new file mode 100644 index 0000000..e05b4af --- /dev/null +++ b/docs/guide/counters.md @@ -0,0 +1,70 @@ +# Counters and flattening + +Pass `counter=` to time the iterations of a loop as separate sections. The section is +recorded as `name[counter]`: + +```python +import time + +from execution_timer import TimerContext, get_execution_timings + +with TimerContext("solve"): + for i in range(3): + with TimerContext("step", counter=i): + time.sleep(0.01 * (i + 1)) +``` + +## Merged or separate + +Every function that reads timings takes a `flatten` argument. With the default, +`flatten=True`, counter variants are merged back into one section and their times added +up. With `flatten=False`, each iteration stays separate: + +```python +merged = get_execution_timings() # flatten=True +separate = get_execution_timings(flatten=False) + +assert list(merged) == [("solve",), ("solve", "step")] +assert list(separate) == [("solve",), ("solve", "step[0]"), ("solve", "step[1]"), ("solve", "step[2]")] +``` + +The same applies to the text report: + +```python +from execution_timer import get_execution_times_report + +print(get_execution_times_report(flatten=False)) +``` + +```text +Total time: 0.0724 s. + +solve: 0.0724 s (100.00%) +.. step[0]: 0.0125 s (17.31%) +.. step[1]: 0.0250 s (34.60%) +.. step[2]: 0.0347 s (47.97%) +``` + +Use the separate view to find a slow iteration, and the merged view to see the loop's +share of the whole run. + +## What flattening merges + +Flattening removes a final integer suffix in brackets from every name in the path, +including negative counters such as `step[-1]`. Other bracketed names are kept: +`array[index]` and `cache[]` are left alone. + +Flattening can't tell a counter from a name you wrote yourself, so sections you named +`"row[1]"` and `"row[2]"` are merged into `row` too. Use `flatten=False` to keep them +apart, or pick names without a trailing `[number]`. + +If merged variants have different categories, the merged section takes the category of the +most recently entered one. Category totals are computed before merging, so they stay +correct either way. + +## Counters and memory + +Each counter value is a separate section until you call +{func}`~execution_timer.clear_execution_timings`. A long-running process that times an +unbounded loop with `counter=` keeps adding entries. Either clear the timings periodically +(see {doc}`long-running`) or drop `counter=` so the iterations accumulate into one section. diff --git a/docs/guide/long-running.md b/docs/guide/long-running.md new file mode 100644 index 0000000..a08366e --- /dev/null +++ b/docs/guide/long-running.md @@ -0,0 +1,61 @@ +# Long-running processes + +Timings accumulate until you clear them. That suits scripts and batch jobs, which report +once at the end. Services, workers and training loops that run for hours usually want a +report per interval instead. + +## Report and clear periodically + +Log the report, then call {func}`~execution_timer.clear_execution_timings` to start the +next interval from zero: + +```python +import time + +from execution_timer import TimerContext, clear_execution_timings, log_execution_times + +for batch in range(6): + with TimerContext("handle_batch"): + time.sleep(0.001) + + if batch % 3 == 2: # every three batches + log_execution_times() + clear_execution_timings() +``` + +This also keeps memory bounded when you time loops with `counter=`, since each counter +value is a separate section until the next clear. + +## Clearing while sections are open + +You can clear from inside an open section, for example from inside the loop's own +section. The active sections keep nesting correctly, but their samples are discarded: a +section that was already open during the clear isn't recorded when it exits. Sections +started after the clear are recorded normally. If their parent section was open during the +clear, they appear as top-level sections and count toward the total. + +```python +from execution_timer import get_execution_timings + +clear_execution_timings() + +with TimerContext("service"): + with TimerContext("tick"): # discarded by the clear below + time.sleep(0.001) + clear_execution_timings() # "service" is still open + with TimerContext("tick"): # recorded + time.sleep(0.001) + +# "service" was open during the clear, so only the second "tick" is recorded. +assert list(get_execution_timings()) == [("service", "tick")] +``` + +The second `tick` keeps its full path, `("service", "tick")`, but reports treat it as a +top-level section because `service` has no recorded time. + +## What is and isn't included + +Reports include completed sections only. A section's time is added when it exits, so a +section that is still running contributes nothing yet. Nesting rules from +{func}`~execution_timer.register_forbidden_nesting` survive a clear; remove them with +{func}`~execution_timer.clear_forbidden_nesting`. diff --git a/docs/guide/overhead.md b/docs/guide/overhead.md new file mode 100644 index 0000000..cdcdb5d --- /dev/null +++ b/docs/guide/overhead.md @@ -0,0 +1,36 @@ +# Overhead + +Timing a section costs about one microsecond on a modern machine: entering and exiting a +`with TimerContext(...)` block, or calling a decorated function. That's negligible for +sections that take milliseconds or more. For code that runs millions of times in a tight +loop, time the loop rather than each iteration, or +[reuse one context](timing-code.md#reusing-a-context). + +A few habits keep the cost down: + +- **Reuse contexts in hot loops.** Creating a `TimerContext` each time is slightly slower + than entering an existing one. Decorators already reuse theirs. +- **Keep reporting out of hot paths.** Reports copy the registry under its lock, and the + JSON export also orders and serializes every section. Read the timings when you need + them, not on every iteration. +- **Leave `log_execution_times()` in place.** It returns immediately, without building a + report, when its logger has `INFO` disabled. + +## Measuring it yourself + +The repository includes a benchmark for recording and reporting costs. From a checkout: + +```bash +uv run python benchmarks/overhead.py --number 100000 --repeat 9 +``` + +It prints the median nanoseconds per operation as JSON. Compare results on the same +interpreter and machine, without coverage or a profiler running. See +[`benchmarks/README.md`](https://github.com/seba2390/ExecutionTimer/blob/main/benchmarks/README.md) +for the methodology. + +## Reference results + +```{include} ../../benchmarks/README.md +:start-after: "## Local comparison" +``` diff --git a/docs/guide/reports.md b/docs/guide/reports.md new file mode 100644 index 0000000..4b26aa8 --- /dev/null +++ b/docs/guide/reports.md @@ -0,0 +1,177 @@ +# Reports and export + +All timings live in one registry for the whole process. You can read them as a text report, +a log record, a dictionary or JSON. Every reader takes a snapshot, so you can call them +while other threads are still recording. + +The examples on this page use these timings: + +```python +import time + +from execution_timer import TimerContext + +with TimerContext("load_data", category="io"): + time.sleep(0.02) + +with TimerContext("solve"): + for i in range(2): + with TimerContext("step", category="gpu", counter=i): + time.sleep(0.01) +``` + +## Text report + +{func}`~execution_timer.get_execution_times_report` returns the report as a string, or `""` +if nothing has been recorded: + +```python +from execution_timer import get_execution_times_report + +print(get_execution_times_report()) +``` + +```text +Total time: 0.0499 s. + +load_data: 0.0249 s (49.92%) +solve: 0.0250 s (50.08%) +.. step: 0.0249 s (49.97%) +``` + +Sections appear depth-first, each followed by its children, in the order they were first +entered. Percentages are shares of the total time at every level. + +## Logging + +{func}`~execution_timer.log_execution_times` logs the same report at `INFO` level, starting +on its own line after the log record's prefix: + +```python +import logging + +from execution_timer import log_execution_times + +logging.basicConfig(level=logging.INFO) +log_execution_times() +``` + +```text +INFO:execution_timer._timer: +Total time: 0.0499 s. + +load_data: 0.0249 s (49.92%) +solve: 0.0250 s (50.08%) +.. step: 0.0249 s (49.97%) +``` + +It logs to the `execution_timer._timer` logger unless you pass your own with +`logger=`. If the logger has `INFO` disabled, it returns without building the report, so it +costs almost nothing in production. If nothing has been recorded, it logs a warning +instead. + +## As a dictionary + +{func}`~execution_timer.get_execution_timings` returns a new dictionary keyed by section +path. Each value is a {class}`~execution_timer.TimingReport` with the seconds and the +category: + +```python +from execution_timer import get_execution_timings + +timings = get_execution_timings() + +for path, report in timings.items(): + print(" › ".join(path), f"{report['time']:.3f} s", report["category"]) +``` + +```text +load_data 0.025 s io +solve 0.025 s default +solve › step 0.025 s gpu +``` + +Two more functions give totals directly: + +```python +from execution_timer import get_total_category_time, get_total_time + +total = get_total_time() # seconds across all top-level sections +gpu = get_total_category_time("gpu") # seconds in the top-most "gpu" sections +``` + +## JSON + +{func}`~execution_timer.get_execution_times_json` returns a JSON document and +{func}`~execution_timer.save_execution_timings_json` writes it to a file. Both take +`indent=`, which is `2` by default; pass `None` for the most compact output. + +```python +from execution_timer import get_execution_times_json, save_execution_timings_json + +document = get_execution_times_json() +path = save_execution_timings_json("timings.json") +``` + +```json +{ + "total_time": 0.049851, + "total_category_time": { + "default": 0.024964, + "gpu": 0.02491, + "io": 0.024887 + }, + "sections": [ + { + "name": "load_data", + "path": [ + "load_data" + ], + "time": 0.024887, + "category": "io" + }, + { + "name": "solve", + "path": [ + "solve" + ], + "time": 0.024964, + "category": "default" + }, + { + "name": "step", + "path": [ + "solve", + "step" + ], + "time": 0.02491, + "category": "gpu" + } + ] +} +``` + +The document has three fields. Their types are exported as +{class}`~execution_timer.TimingsPayload` and {class}`~execution_timer.SectionRecord`. + +`total_time` +: Seconds across all top-level sections, as from `get_total_time()`. + +`total_category_time` +: Seconds per category, counted like `get_total_category_time()`, sorted by name. + +`sections` +: Every section in report order, with its own `name`, its full `path`, its `time` and its + `category`. + +Times are rounded to microseconds. The sections and the totals come from the same +snapshot, so they always agree, and the category totals use the original, unmerged +sections even when `flatten=True` merges counter variants with different categories. + +The format suits dashboards and CI artifacts, and it's easy for a language model to read if +you want help interpreting a profile. + +## Flattening + +Every function on this page except the two totals takes `flatten=`. The default, `True`, +merges `counter` variants of a section; `False` keeps them apart. See {doc}`counters`. diff --git a/docs/guide/timing-code.md b/docs/guide/timing-code.md new file mode 100644 index 0000000..ead174d --- /dev/null +++ b/docs/guide/timing-code.md @@ -0,0 +1,170 @@ +# Timing code + +Everything is timed with one class, {class}`~execution_timer.TimerContext`. This page +covers the ways to use it. + +## With a `with` block + +```python +import time + +from execution_timer import TimerContext + +with TimerContext("load_data"): + time.sleep(0.01) +``` + +The section's time is added when the block exits, even if the block raises. The exception +propagates as usual; the timer never swallows or replaces it. + +```python +from execution_timer import get_execution_timings + +try: + with TimerContext("risky"): + raise ValueError("bad input") +except ValueError: + pass + +assert ("risky",) in get_execution_timings() +``` + +## As a decorator + +Decorating a function times every call to it and adds them all up in one section: + +```python +@TimerContext("preprocess") +def preprocess(rows: list[str]) -> list[str]: + return [row.strip() for row in rows] + + +preprocess([" a ", " b "]) +``` + +The decorated function keeps its name, docstring, signature and return value. A decorated +call made inside another section nests under it, exactly like a `with` block. + +### Async functions + +Decorating an `async def` times the whole `await`, including everything the coroutine +awaits along the way, not just the creation of the coroutine object: + +```python +import asyncio + + +@TimerContext("fetch", category="io") +async def fetch(delay: float) -> str: + await asyncio.sleep(delay) + return "payload" + + +asyncio.run(fetch(0.01)) +``` + +This also works when another decorator sits between `TimerContext` and the `async def`, as +long as that decorator returns the coroutine, like most retry, caching and tracing +decorators do: + +```python +import functools + + +def logged(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + print(f"calling {func.__name__}") + return func(*args, **kwargs) + + return wrapper + + +@TimerContext("fetch_logged", category="io") +@logged +async def fetch_logged() -> None: + await asyncio.sleep(0.01) + + +asyncio.run(fetch_logged()) +``` + +The section then covers both the call and the `await`. + +### Generator functions can't be decorated + +Decorating a generator function, or an async generator function, raises `TypeError`. A +wrapper could only time creating the generator object, which takes microseconds however +long the iteration takes. Time the loop that consumes the generator instead: + +```python +def numbers(n: int): + for i in range(n): + yield i * i + + +with TimerContext("consume_numbers"): + total = sum(numbers(1_000)) +``` + +{doc}`concurrency` explains what happens to sections opened *inside* a generator. + +## Reusing a context + +A `TimerContext` holds no timing state of its own; the registry does. So one context can be +used any number of times, nested inside itself, or shared between threads and tasks. In a +tight loop, create it once: + +```python +step_timer = TimerContext("step") + +for item in range(100): + with step_timer: + _ = item * item +``` + +A decorator already works this way: it creates one context and reuses it for every call. + +## Repeated and recursive calls + +Entering the same section again, at the same place in the tree, adds to its total. The +report shows one line with the accumulated time. + +Recursion is different: each level runs *inside* the previous one, so each level is a new, +deeper section. A recursive function decorated with `TimerContext` shows one line per +depth: + +```python +from execution_timer import clear_execution_timings, get_execution_times_report + +clear_execution_timings() + + +@TimerContext("walk") +def walk(depth: int) -> None: + time.sleep(0.01) + if depth: + walk(depth - 1) + + +walk(2) +print(get_execution_times_report()) +``` + +```text +Total time: 0.0354 s. + +walk: 0.0354 s (100.00%) +.. walk: 0.0247 s (69.77%) +.. .. walk: 0.0125 s (35.38%) +``` + +For deep recursion, time the top-level call only, for example with a `with` block around +it. + +## Names and paths + +A section is identified by its **path**: the names of the enclosing sections followed by its +own name. In reports and in {func}`~execution_timer.get_execution_timings`, the section +above is `("walk", "walk")`, and `step` inside `solve` is `("solve", "step")`. Two sections +with the same name in different places are separate entries. diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..2ee3af2 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,94 @@ +# executiontimer + +**Hierarchical execution timing for Python.** Time named sections of your code with a +`with` block or a decorator. Sections nested inside each other form a tree, so you see +where the time actually went, not just one number at the end. + +```python +import time + +from execution_timer import TimerContext, get_execution_times_report + +with TimerContext("load_data"): + time.sleep(0.12) + +with TimerContext("solve"): + for i in range(3): + with TimerContext("step", category="gpu", counter=i): + time.sleep(0.05) + with TimerContext("postprocess", category="cpu"): + time.sleep(0.03) + +print(get_execution_times_report()) +``` + +```text +Total time: 0.3156 s. + +load_data: 0.1219 s (38.62%) +solve: 0.1937 s (61.38%) +.. step: 0.1585 s (50.24%) +.. postprocess: 0.0350 s (11.10%) +``` + +## Why executiontimer + +A profiler tells you which *functions* are slow. `executiontimer` tells you which +*parts of your program* are slow, in the terms you choose: "load data", "solve", "write +results". It's for the numbers you'd otherwise collect with `time.perf_counter()` calls +scattered through your code, kept in one place and reported as a tree. + +- **One primitive.** {class}`~execution_timer.TimerContext` is both a context manager and + a decorator. +- **Automatic hierarchy.** Nesting `with` blocks or decorated calls nests the report. There + is nothing to wire up. +- **Categories.** Tag sections with any string, such as `"io"`, `"gpu"` or `"db"`, and get + a total per category. +- **Async and threads.** Decorating an `async def` times the whole `await`. Each thread and + asyncio task keeps its own nesting, and everything lands in one report. +- **Loop counters.** Time each iteration separately, then merge the iterations back + together in the report. +- **Exports.** A text report, a log record, a dictionary, or a JSON document for + dashboards, CI artifacts or a language model. +- **Small and dependable.** No dependencies, fully typed, about one microsecond of overhead + per section, tested on Linux, macOS and Windows with Python 3.11 to 3.14, including + free-threaded builds. + +## Install + +```bash +pip install executiontimer +``` + +The install name is `executiontimer` and the import name is `execution_timer`. +{doc}`getting-started` covers the rest. + +```{toctree} +:hidden: + +getting-started +``` + +```{toctree} +:caption: User guide +:hidden: + +guide/timing-code +guide/counters +guide/categories +guide/reports +guide/concurrency +guide/long-running +guide/overhead +``` + +```{toctree} +:caption: Reference +:hidden: + +api +changelog +contributing +GitHub +PyPI +``` diff --git a/pyproject.toml b/pyproject.toml index db768c3..178a3a0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,7 +38,7 @@ dependencies = [] [project.urls] Homepage = "https://github.com/seba2390/ExecutionTimer" -Documentation = "https://github.com/seba2390/ExecutionTimer#readme" +Documentation = "https://seba2390.github.io/ExecutionTimer/" Repository = "https://github.com/seba2390/ExecutionTimer" Issues = "https://github.com/seba2390/ExecutionTimer/issues" Changelog = "https://github.com/seba2390/ExecutionTimer/blob/main/CHANGELOG.md" @@ -59,6 +59,7 @@ include = [ "/src", "/tests", "/benchmarks", + "/docs", "/README.md", "/LICENSE", "/CHANGELOG.md", @@ -73,6 +74,13 @@ dev = [ "pytest-cov>=7.1.0", "ruff>=0.16.3", ] +docs = [ + "furo>=2025.12.19", + "myst-parser>=5.1.0", + "sphinx>=9.0.4", + "sphinx-copybutton>=0.5.2", + "sphinx-design>=0.7.0", +] [tool.pytest.ini_options] testpaths = ["tests"] diff --git a/src/execution_timer/_timer.py b/src/execution_timer/_timer.py index c5c3d83..b7c3f88 100644 --- a/src/execution_timer/_timer.py +++ b/src/execution_timer/_timer.py @@ -27,32 +27,42 @@ T = TypeVar("T") DEFAULT_CATEGORY: Final = "default" +"""The category of sections created without one.""" _LOGGER: Final = logging.getLogger(__name__) class TimingReport(TypedDict): - """Timing entry for one section: elapsed seconds and its category.""" + """Timing entry for one section, as returned by :func:`get_execution_timings`.""" time: float + """Accumulated elapsed seconds.""" category: str + """The section's category.""" class SectionRecord(TypedDict): - """One section in the JSON export.""" + """One section in the JSON export, see :class:`TimingsPayload`.""" name: str + """The section's own name, the last element of :attr:`path`.""" path: list[str] + """Names from the top-level section down to this one.""" time: float + """Accumulated elapsed seconds, rounded to microseconds.""" category: str + """The section's category.""" class TimingsPayload(TypedDict): - """Top-level JSON export payload.""" + """Top-level object of the JSON export from :func:`get_execution_times_json`.""" total_time: float + """Seconds across all top-level sections, as returned by :func:`get_total_time`.""" total_category_time: dict[str, float] + """Seconds per category, counting only the top-most section of each category.""" sections: list[SectionRecord] + """Every section, ordered depth-first so children follow their parent.""" class _TimesDict(TypedDict): @@ -258,7 +268,32 @@ def _has_ancestor_with_category( class TimerContext: - """Context manager and decorator for timing a named section of code.""" + """Context manager and decorator for timing a named section of code. + + Sections entered inside another section are recorded beneath it, so nesting ``with`` + blocks or decorated calls builds the hierarchy shown in reports. Repeated entries of the + same section accumulate their durations. A context can be reused, re-entered while it is + active, and shared between threads and asyncio tasks. + + Args: + name: The section's name within its parent. + category: Any string used to group sections, for example ``"io"`` or ``"gpu"``. + counter: Records the section as ``name[counter]``, typically a loop index. Reports + merge these variants unless you pass ``flatten=False``. + + Raises: + ValueError: On entry, if a rule from :func:`register_forbidden_nesting` forbids this + category directly inside the enclosing section's category. + + Example: + .. code-block:: python + + with TimerContext("load", category="io"): + data = load() + + @TimerContext("solve") + def solve(data): ... + """ def __init__(self, name: str, category: str = DEFAULT_CATEGORY, counter: int | None = None) -> None: self.name: str = _build_name_with_counter(name, counter) @@ -279,8 +314,11 @@ def __call__(self, func: Callable[P, R]) -> Callable[P, R]: Coroutine functions are wrapped so the timing spans the entire ``await``, not just creation of the coroutine object. So is a coroutine returned by a plain function, - typically another decorator stacked on an ``async def``. Generator functions are - rejected: a wrapper would time only creation of the generator object, not its iteration. + typically another decorator stacked on an ``async def``. + + Raises: + TypeError: If ``func`` is a generator or async generator function. A wrapper + would time only creation of the generator object, not its iteration. """ if inspect.isgeneratorfunction(func) or inspect.isasyncgenfunction(func): msg = ( @@ -341,12 +379,30 @@ def _basic_name_without_counter(name: str) -> str: def get_execution_times_report(*, flatten: bool = True) -> str: - """Get a formatted report of all recorded sections (``""`` if none); flatten counters if requested.""" + """Get a formatted, indented report of all recorded sections. + + Each line shows a section's accumulated seconds and its share of the total time. + Indentation reflects nesting. + + Args: + flatten: Merge ``counter`` variants such as ``step[0]`` and ``step[1]`` into ``step``. + + Returns: + The report, or ``""`` if nothing has been recorded. + """ return _TIMER.report_timings(flatten=flatten) def log_execution_times(*, flatten: bool = True, logger: logging.Logger | None = None) -> None: - """Log the execution-times report at INFO level, or a warning if there is nothing to report.""" + """Log the report from :func:`get_execution_times_report` at ``INFO`` level. + + Logs a warning instead if nothing has been recorded. Does nothing, and skips building + the report, if the logger has ``INFO`` disabled. + + Args: + flatten: Merge ``counter`` variants of a section. + logger: The logger to use. Defaults to the ``execution_timer._timer`` logger. + """ target = logger if logger is not None else _LOGGER if target.isEnabledFor(logging.INFO): report = get_execution_times_report(flatten=flatten) @@ -358,7 +414,15 @@ def log_execution_times(*, flatten: bool = True, logger: logging.Logger | None = def get_execution_timings(*, flatten: bool = True) -> dict[tuple[str, ...], TimingReport]: - """Get elapsed seconds and category for every recorded section; flatten counters if requested.""" + """Get elapsed seconds and category for every recorded section. + + Args: + flatten: Merge ``counter`` variants of a section. + + Returns: + A new dictionary keyed by section path, such as ``("solve", "step")``. Changing it + does not affect the recorded timings. + """ return _TIMER.get_execution_timings(flatten=flatten) @@ -388,34 +452,79 @@ def _build_payload(*, flatten: bool = True) -> TimingsPayload: def get_execution_times_json(*, flatten: bool = True, indent: int | None = 2) -> str: - """Get all timings as a JSON string (LLM-friendly); flatten counters if requested.""" + """Get all timings as a JSON document shaped like :class:`TimingsPayload`. + + Args: + flatten: Merge ``counter`` variants of a section. + indent: Passed to :func:`json.dumps`; ``None`` gives the most compact output. + + Returns: + The JSON text. + """ return json.dumps(_build_payload(flatten=flatten), indent=indent) def save_execution_timings_json(path: str | Path, *, flatten: bool = True, indent: int | None = 2) -> Path: - """Write all timings to a JSON file and return its path; flatten counters if requested.""" + """Write the JSON from :func:`get_execution_times_json` to a UTF-8 file. + + Args: + path: The file to write, replacing it if it exists. Its directory must exist. + flatten: Merge ``counter`` variants of a section. + indent: Passed to :func:`json.dumps`. + + Returns: + The path written to. + """ out = Path(path) _ = out.write_text(get_execution_times_json(flatten=flatten, indent=indent) + "\n", encoding="utf-8") return out def get_total_time() -> float: - """Get total elapsed seconds across all top-level sections.""" + """Get total elapsed seconds across all top-level sections. + + Nested sections are part of their parent's time, so they are not added again. + + Returns: + The total, or ``0.0`` if nothing has been recorded. + """ return _TIMER.compute_total_time() def get_total_category_time(category: str) -> float: - """Get total elapsed seconds in a category, counting only top-most entries of that category.""" + """Get total elapsed seconds in a category. + + Only the top-most section of the category counts: a section nested inside another of + the same category is part of that section's time and is not added again. + + Args: + category: The category to total. + + Returns: + The total, or ``0.0`` for a category with no sections. + """ return _TIMER.compute_total_category_time(category) def clear_execution_timings() -> None: - """Reset all recorded timings.""" + """Discard all recorded timings. + + A section that is active during the clear is not recorded when it exits. Sections + started inside it afterwards are recorded as top-level sections. Nesting rules are kept; + see :func:`clear_forbidden_nesting`. + """ _TIMER.clear() def register_forbidden_nesting(outer: str, inner: str) -> None: - """Forbid timing sections of category ``inner`` directly inside sections of category ``outer``.""" + """Forbid sections of category ``inner`` directly inside sections of category ``outer``. + + Entering such a section raises :class:`ValueError`. Only the direct parent is checked. + + Args: + outer: The enclosing section's category. + inner: The category that may not appear directly inside it. + """ _TIMER.register_forbidden_nesting(outer, inner) diff --git a/tests/docs_examples_test.py b/tests/docs_examples_test.py new file mode 100644 index 0000000..78cd6ca --- /dev/null +++ b/tests/docs_examples_test.py @@ -0,0 +1,41 @@ +"""Run the Python examples in the README and the documentation, so they cannot go stale.""" + +import os +import re +import subprocess +import sys +from pathlib import Path + +import pytest + +ROOT = Path(__file__).resolve().parent.parent +PYTHON_BLOCK = re.compile(r"^```python\n(.*?)^```$", re.MULTILINE | re.DOTALL) + + +def python_blocks(page: Path) -> list[str]: + return [str(match.group(1)) for match in PYTHON_BLOCK.finditer(page.read_text(encoding="utf-8"))] + + +PAGES = [page for page in [ROOT / "README.md", *sorted((ROOT / "docs").rglob("*.md"))] if python_blocks(page)] + + +def 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