diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 9bf271a..cee3e6f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -54,3 +54,14 @@ jobs: python-version: ${{ matrix.python-version }} - run: uv sync --group dev - run: uv run pytest + + docs: + name: Docs (mkdocs) + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v6 + - uses: astral-sh/setup-uv@v7 + with: + python-version: "3.13" + - run: uv sync --group docs + - run: uv run mkdocs build --strict diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml new file mode 100644 index 0000000..eb4e81c --- /dev/null +++ b/.github/workflows/docs.yml @@ -0,0 +1,59 @@ +name: Docs + +on: + push: + branches: [main] + paths: + - "docs/**" + - "overrides/**" + - "mkdocs.yml" + - "pyproject.toml" + - "uv.lock" + - "scripts/generate_step_docs.py" + - "normalization/**" + - ".github/workflows/docs.yml" + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: pages + cancel-in-progress: false + +jobs: + build: + name: Build MkDocs site + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v6 + + - uses: astral-sh/setup-uv@v7 + with: + python-version: "3.13" + + - name: Install dependencies + run: uv sync --group docs + + - name: Build site + run: uv run mkdocs build --strict + + - name: Upload Pages artifact + uses: actions/upload-pages-artifact@v5 + with: + path: site + + deploy: + name: Deploy to GitHub Pages + needs: build + runs-on: ubuntu-latest + permissions: + pages: write + id-token: write + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + steps: + - name: Deploy + id: deployment + uses: actions/deploy-pages@v5 diff --git a/.gitignore b/.gitignore index 0be43d0..b5df089 100644 --- a/.gitignore +++ b/.gitignore @@ -18,4 +18,6 @@ wheels/ .idea/ .cursor/ .claude/ -/site + +# MkDocs +site/ diff --git a/AGENTS.md b/AGENTS.md index 74de346..ab589f2 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -157,4 +157,4 @@ Never modify a published preset YAML. Never let a preset reference a step that h - [ ] Add unit tests in `tests/unit/steps/` - [ ] If it involves placeholder protection, add both protect and restore to `steps/text/placeholders.py` and update `pipeline/base.py`'s `validate()` accordingly; use `ProtectStep`/`RestoreStep` base classes where the contract fits, otherwise use `TextStep` directly and document why in the docstring - [ ] Add the step name to relevant preset YAMLs if needed (new preset version if existing presets are affected) -- [ ] If you added or changed the class docstring, run `python scripts/generate_step_docs.py` to regenerate `docs/steps.md` +- [ ] If you added or changed the class docstring, run `python scripts/generate_step_docs.py` to regenerate `docs/reference/steps.md` diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 2448a49..c41eefd 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -20,7 +20,7 @@ A new language requires: 4. Decorate with `@register_language` and add one import to `normalization/languages/__init__.py` 5. Add tests under `tests/unit/languages/` and a per-language CSV in `tests/e2e/files/{preset}/` (e.g. `tests/e2e/files/gladia-3/fr.csv`) -See [docs/contributing-guide.md](docs/contributing-guide.md) for the full checklist and design rules. +See [docs/contributing/guide.md](docs/contributing/guide.md) for the full checklist and design rules. ### Add a new normalization step @@ -33,9 +33,9 @@ A new step requires: 3. Add an import to `steps/text/__init__.py` or `steps/word/__init__.py` 4. Add unit tests under `tests/unit/steps/` 5. Add the step name to the relevant preset YAML, or create a new preset version -6. If you added or changed the class docstring, regenerate `docs/steps.md`: `uv run scripts/generate_step_docs.py` +6. If you added or changed the class docstring, regenerate `docs/reference/steps.md`: `uv run scripts/generate_step_docs.py` -See [docs/contributing-guide.md](docs/contributing-guide.md) for base class selection and test conventions. +See [docs/contributing/guide.md](docs/contributing/guide.md) for base class selection and test conventions. ### Report a bug @@ -52,7 +52,7 @@ Open a GitHub issue with the `question` label. We're happy to help. ```bash git clone https://github.com/gladiaio/normalization.git cd normalization -uv sync +uv sync --all-groups uv run pre-commit install --install-hooks # install hooks once ``` @@ -63,6 +63,7 @@ uv run pytest # run tests uv run ruff check . # lint uv run ruff format . # format uv run ty check # type-check +uv run mkdocs serve # preview docs at http://127.0.0.1:8000 ``` --- diff --git a/README.md b/README.md index 7491fff..7ffa32c 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@

A lightweight library for normalizing speech transcripts before computing WER.
- Quick Start · Step Reference · Contributing + Quick Start · Documentation · Contributing

@@ -137,7 +137,7 @@ Every pipeline runs exactly **three stages**, always in this order: This ordering is a hard constraint. Some steps depend on earlier steps having run (e.g. a placeholder protecting a decimal point in Stage 1 must be restored in Stage 3, so that `remove_symbols` doesn't destroy it in between). -Pipelines are defined declaratively in **YAML presets**. Each preset lists the steps that run in each stage and the order they run in. See the full [step reference](docs/steps.md) for every available step. +Pipelines are defined declaratively in **YAML presets**. Each preset lists the steps that run in each stage and the order they run in. See the full [step reference](https://gladiaio.github.io/normalization/reference/steps/) for every available step. ## Supported languages @@ -151,6 +151,8 @@ Pipelines are defined declaratively in **YAML presets**. Each preset lists the s | `fr` | French | | `it` | Italian | | `nl` | Dutch | +| `no` | Norwegian | +| `pt` | Portuguese | | `ro` | Romanian | | `sv` | Swedish | @@ -172,7 +174,6 @@ stages: - casefold_text - remove_symbols - remove_diacritics - - normalize_whitespace word: - apply_word_replacements @@ -180,7 +181,6 @@ stages: text_post: - restore_email_at_symbol_with_word - restore_email_dot_symbol_with_word - - normalize_whitespace ``` _Load from your custom configuration:_ diff --git a/docs/assets/favicon.svg b/docs/assets/favicon.svg new file mode 100644 index 0000000..e62800d --- /dev/null +++ b/docs/assets/favicon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/docs/assets/fonts/GeistMono-Regular.woff2 b/docs/assets/fonts/GeistMono-Regular.woff2 new file mode 100644 index 0000000..16e3724 Binary files /dev/null and b/docs/assets/fonts/GeistMono-Regular.woff2 differ diff --git a/docs/assets/logo.svg b/docs/assets/logo.svg new file mode 100644 index 0000000..47d58f9 --- /dev/null +++ b/docs/assets/logo.svg @@ -0,0 +1,4 @@ + + + + diff --git a/docs/assets/symbol.svg b/docs/assets/symbol.svg new file mode 100644 index 0000000..4bf1e7d --- /dev/null +++ b/docs/assets/symbol.svg @@ -0,0 +1,3 @@ + + + diff --git a/docs/concepts.md b/docs/concepts.md new file mode 100644 index 0000000..c75ceba --- /dev/null +++ b/docs/concepts.md @@ -0,0 +1,33 @@ +# How it works + +Every pipeline runs **three stages**, always in this order: + +```text +text > [1] text_pre > split > [2] word > join > [3] text_post > text +``` + +| Stage | Operates on | Typical work | +| --- | --- | --- | +| **1. Text pre** | Full string | Protect symbols, expand contractions/numbers, convert currency/degrees, casefold, remove punctuation | +| **2. Word** | One token | Replacements (`vs` → `versus`), skip emails | +| **3. Text post** | Full string | Restore placeholders, format times, collapse digits, whitespace | + +This order is a hard constraint. Placeholder steps illustrate why: a decimal point is **protected** in stage 1 so `remove_symbols` cannot erase it, then **restored** in stage 3. + +## Steps + +A step is a small, stateless transform with a unique `name`. Steps register themselves via `@register_step`; presets reference those names. + +See the full [step reference](reference/steps.md). + +## Presets + +A preset is a YAML file that lists which steps run in each stage and in what order. Published presets are **immutable** — new behavior means a new preset file (e.g. `gladia-4`). + +Details and custom YAML: [Presets](presets.md). + +## Languages + +Language-specific data and behavior live under `normalization/languages/`. Unknown codes fall back to a language-agnostic default. + +Details: [Languages](languages.md). diff --git a/docs/contributing-guide.md b/docs/contributing-guide.md deleted file mode 100644 index 67e1e43..0000000 --- a/docs/contributing-guide.md +++ /dev/null @@ -1,214 +0,0 @@ -# Contributing guide - -Detailed reference for contributors. Read this before adding a step or language. - -## Architecture at a glance - -Every pipeline runs exactly **three stages**, always in this order: - -1. **Text pre-processing** — full-text transforms before word splitting (placeholder protection, symbol conversion, contraction expansion, …) -2. **Word processing** — per-token transforms after splitting on spaces (replacements, filler removal, …) -3. **Text post-processing** — full-text cleanup after rejoining words (placeholder restoration, digit collapsing, …) - -This ordering is a hard constraint — some steps depend on earlier steps having run. See the [README](../README.md) for more detail. - ---- - -## Adding a new language — checklist - -- [ ] Create `languages/{lang}/` with `operators.py`, `replacements.py`, `__init__.py` -- [ ] Put all word-level substitutions in `replacements.py`; do not add inline entries in `operators.py` -- [ ] Instantiate a `LanguageConfig` in `operators.py`, filling in all required fields and any optional dict fields your language needs (`time_words`, `sentence_replacements`, etc.) -- [ ] Subclass `LanguageOperators`, overriding only methods where the _algorithm_ differs (not just the data) -- [ ] If the language has digit words, populate `digit_words` in `LanguageConfig` -- [ ] If the language uses spoken time patterns, populate `time_words` with all needed word→digit mappings; if it also uses compound minute expressions (e.g. "twenty-one"), override `get_compound_minutes()` — do **not** put this in config -- [ ] If number expansion is needed and the algorithm is complex, implement it in a `number_normalizer.py` file and override `expand_written_numbers`; otherwise do not create the file -- [ ] Decorate the class with `@register_language` -- [ ] Add one import to `languages/__init__.py` -- [ ] Add tests in `tests/unit/languages/` -- [ ] Add a CSV file `tests/e2e/files/{preset}/{language_code}.csv` for each relevant preset (e.g. `tests/e2e/files/gladia-3/fr.csv`) - -### Language data vs. language behavior - -This is the central design rule. Ask: "does the _logic_ change by language, or just the _values_?" - -**`LanguageConfig` (data)** — everything that can be expressed as a value: strings, lists, dicts. Separator characters, currency words, filler words, digit words, number words, time words, sentence replacements. Optional fields default to `None`; steps that read them skip gracefully when `None`. - -**`LanguageOperators` (behavior)** — only methods where the _algorithm itself_ varies by language. Examples: `expand_contractions`, `expand_written_numbers`, `normalize_numeric_time_formats`, `get_compound_minutes`. If the algorithm is generic and only the _data_ differs, put the data in `LanguageConfig` and the algorithm in the step — not in the operator. - ---- - -## Adding a new step — checklist - -- [ ] Add the class to the appropriate file in `steps/text/` or `steps/word/` -- [ ] Set a unique `name` class attribute -- [ ] Decorate with `@register_step` -- [ ] Add one import to `steps/text/__init__.py` or `steps/word/__init__.py` -- [ ] Place the algorithm in `__call__`; read language data from `operators.config.*`; call operator methods only for genuinely behavioral differences -- [ ] If the step reads an optional `LanguageConfig` field, guard with `if operators.config.field is None: return text` -- [ ] Add unit tests in `tests/unit/steps/` -- [ ] If it involves placeholder protection, add both protect and restore to `steps/text/placeholders.py` and update `pipeline/base.py`'s `validate()` accordingly -- [ ] Add the step name to relevant preset YAMLs if needed (new preset version if existing presets are affected) -- [ ] If you added or changed the class docstring, run `uv run scripts/generate_step_docs.py` to regenerate `docs/steps.md` - -### Choosing a base class - -Pick the narrowest one that fits your step. - -**`WordStep`** — use when your transformation operates on a single token in isolation, with no knowledge of neighboring words. This is the only base class for Stage 2 steps. - -```python -@register_step -class MyWordStep(WordStep): - name = "my_word_step" - - def __call__(self, word: str, operators: LanguageOperators) -> str: ... -``` - -**`TextStep`** — the general-purpose base for Stage 1 and Stage 3. Use it when your transformation needs to see the full string, or when none of the more specific bases below fit. - -```python -@register_step -class MyTextStep(TextStep): - name = "my_text_step" - - def __call__(self, text: str, operators: LanguageOperators) -> str: ... -``` - -**`ProtectStep`** — a specialization of `TextStep` for replacing a character with a placeholder token. Implement `_pattern`, which returns a compiled regex with **exactly two capture groups** (what comes before and after the character being replaced). The `__call__` is fixed: it applies the pattern as `\1{placeholder}\2`. - -```python -@register_step -class MyProtectStep(ProtectStep): - name = "my_protect_step" - placeholder = ProtectPlaceholder.MY_PLACEHOLDER - - def _pattern(self, operators: LanguageOperators) -> re.Pattern: - return re.compile(r"(\d+)X(\d+)") # two capture groups required -``` - -Use `ProtectStep` when: one regex pattern maps to exactly one placeholder substitution. - -Use `TextStep` directly instead when: a single pass must protect two different symbols, the replacement needs to absorb surrounding whitespace with `\s*`, or the replacement is a per-match function rather than a fixed template. - -**`RestoreStep`** — a specialization of `TextStep` for restoring a placeholder back to a string. Implement `_replacement`, which returns the string to substitute in. The `__call__` does a plain `str.replace` of the placeholder (and its case-folded form). - -```python -@register_step -class MyRestoreStep(RestoreStep): - name = "my_restore_step" - placeholder = ProtectPlaceholder.MY_PLACEHOLDER - - def _replacement(self, operators: LanguageOperators) -> str: - return operators.config.some_word or " " -``` - -Use `RestoreStep` when: restoration is a straight token swap with no surrounding whitespace to absorb and no additional logic needed. - -Use `TextStep` directly instead when: the placeholder was inserted with spaces around it (requiring `re.sub` with `\s*` to avoid double spaces), the marker should be deleted entirely rather than replaced, or post-replacement cleanup is needed. - ---- - -## Writing tests - -### Unit tests for a step - -Unit tests live under `tests/unit/steps/text/` or `tests/unit/steps/word/`, mirroring the step file structure. - -The `tests/unit/steps/text/conftest.py` provides two fixtures and a helper: - -- `operators` — a bare `LanguageOperators()` instance (language-agnostic) -- `english_operators` — an `EnglishOperators()` instance -- `assert_text_step_registered(step_cls)` — verifies the step is in the registry under its name - -Every test file for a step should at minimum: - -1. Assert the step is registered. -2. Instantiate the step with `MyStep()` and call it directly: `MyStep()(text, operators)`. -3. Mutate `operators.config` fields in-place to cover different language configurations without creating a full language. - -```python -# tests/unit/steps/text/my_step_test.py -from normalization.languages.base import LanguageOperators -from normalization.steps.text.my_module import MyStep - -from .conftest import assert_text_step_registered - - -def test_step_is_registered(): - assert_text_step_registered(MyStep) - - -def test_my_step_basic(operators: LanguageOperators): - result = MyStep()("some input", operators) - assert result == "expected output" - - -def test_my_step_with_config(operators: LanguageOperators): - operators.config.some_field = "custom_value" - result = MyStep()("some input", operators) - assert result == "expected output with custom value" - - -def test_my_step_with_english(english_operators): - result = MyStep()("some input", english_operators) - assert result == "english-specific output" -``` - -### E2E tests for a preset - -E2E tests validate the full pipeline (preset + language) against CSV fixtures. The test runner lives in `tests/e2e/normalization_test.py` and CSV files are organized under `tests/e2e/files/`. - -**Directory structure** — one folder per preset, one CSV per language: - -``` -tests/e2e/files/ - gladia-3/ - default.csv - da.csv - de.csv - en.csv - es.csv - fi.csv - fr.csv - it.csv - nl.csv - sv.csv -``` - -**CSV format** — two columns (`input,expected`), no quoting needed unless the value contains a comma: - -``` -input,expected -"$1,000,000",1000000 dollars -hello world,hello world -``` - -The language is derived from the filename (e.g. `fr.csv` → language code `fr`). Use `default.csv` for the language-agnostic fallback. - -**Adding test cases for an existing preset** — drop rows into the appropriate `{language_code}.csv` file, or create a new CSV if the language isn't covered yet. Tests are discovered automatically. - -**Registering a new preset** — add a block to `normalization_test.py` following the existing pattern: - -```python -_MY_PRESET_DIR = _FILES_DIR / "my-preset" -_MY_PRESET_BY_LANGUAGE = _discover_preset_tests(_MY_PRESET_DIR) -_MY_PRESET_PIPELINES: dict[str, NormalizationPipeline] = {} - -for _language in sorted(_MY_PRESET_BY_LANGUAGE): - globals()[f"test_my_preset_{_language}"] = _make_test( - "my-preset", _language, _MY_PRESET_BY_LANGUAGE[_language], _MY_PRESET_PIPELINES - ) -``` - -Pipelines are cached per language to avoid reloading for each parametrized case. - ---- - -## Key design rules - -- **Data vs. behavior**: if only the _values_ change by language, put them in `LanguageConfig`. If the _algorithm_ changes, override a method in `LanguageOperators`. -- **Steps are language-agnostic**: a step must not contain any language-specific logic or string literals. Read from `operators.config.*` or call `operators.method()`. -- **Presets are immutable**: never modify a published preset YAML — new behavior means a new preset file. -- **Placeholder pairs**: every `protect_*` step in Stage 1 must have a matching `restore_*` in Stage 3. The pipeline validates this at load time. -- **Language folders are self-contained**: everything specific to a language lives inside its folder. Helpers used only by one language (e.g. `number_normalizer.py`) go in that language's folder, not in `steps/`. \ No newline at end of file diff --git a/docs/contributing/guide.md b/docs/contributing/guide.md new file mode 100644 index 0000000..b9af563 --- /dev/null +++ b/docs/contributing/guide.md @@ -0,0 +1,213 @@ +# Contributing guide + +Detailed reference for contributors. Read this before adding a step or language. + +## Architecture at a glance + +Every pipeline runs exactly **three stages**, always in this order: + +1. **Text pre-processing** : full-text transforms before word splitting (placeholder protection, symbol conversion, contraction expansion, …) +2. **Word processing** : per-token transforms after splitting on spaces (replacements, filler removal, …) +3. **Text post-processing** : full-text cleanup after rejoining words (placeholder restoration, digit collapsing, …) + +This ordering is a hard constraint - some steps depend on earlier steps having run. See [How it works](../concepts.md) for more detail. + +--- + +## Adding a new language + +- Create `languages/{lang}/` with `operators.py`, `replacements.py`, `__init__.py` +- Put all word-level substitutions in `replacements.py`; do not add inline entries in `operators.py` +- Instantiate a `LanguageConfig` in `operators.py`, filling in all required fields and any optional dict fields your language needs (`time_words`, `sentence_replacements`, etc.) +- Subclass `LanguageOperators`, overriding only methods where the _algorithm_ differs (not just the data) +- If the language has digit words, populate `digit_words` in `LanguageConfig` +- If the language uses spoken time patterns, populate `time_words` with all needed word-to-digit mappings; if it also uses compound minute expressions (e.g. "twenty-one"), override `get_compound_minutes()` - do **not** put this in config +- If number expansion is needed and the algorithm is complex, implement it in a `number_normalizer.py` file and override `expand_written_numbers`; otherwise do not create the file +- Decorate the class with `@register_language` +- Add one import to `languages/__init__.py` +- Add tests in `tests/unit/languages/` +- Add a CSV file `tests/e2e/files/{preset}/{language_code}.csv` for each relevant preset (e.g. `tests/e2e/files/gladia-3/fr.csv`) + +### Language data vs. language behavior + +This is the central design rule. Ask: "does the _logic_ change by language, or just the _values_?" + +**`LanguageConfig` (data)** : everything that can be expressed as a value: strings, lists, dicts. Separator characters, currency words, filler words, digit words, number words, time words, sentence replacements. Optional fields default to `None`; steps that read them skip gracefully when `None`. + +**`LanguageOperators` (behavior)** : only methods where the _algorithm itself_ varies by language. Examples: `expand_contractions`, `expand_written_numbers`, `normalize_numeric_time_formats`, `get_compound_minutes`. If the algorithm is generic and only the _data_ differs, put the data in `LanguageConfig` and the algorithm in the step - not in the operator. + +--- + +## Adding a new step + +- Add the class to the appropriate file in `steps/text/` or `steps/word/` +- Set a unique `name` class attribute +- Decorate with `@register_step` +- Add one import to `steps/text/__init__.py` or `steps/word/__init__.py` +- Place the algorithm in `__call__`; read language data from `operators.config.*`; call operator methods only for genuinely behavioral differences +- If the step reads an optional `LanguageConfig` field, guard with `if operators.config.field is None: return text` +- Add unit tests in `tests/unit/steps/` +- If it involves placeholder protection, add both protect and restore to `steps/text/placeholders.py` and update `pipeline/base.py`'s `validate()` accordingly +- Add the step name to relevant preset YAMLs if needed (new preset version if existing presets are affected) +- If you added or changed the class docstring, run `uv run scripts/generate_step_docs.py` to regenerate `docs/reference/steps.md` + +### Choosing a base class + +Pick the narrowest one that fits your step. + +**`WordStep`** : use when your transformation operates on a single token in isolation, with no knowledge of neighboring words. This is the only base class for Stage 2 steps. + +```python +@register_step +class MyWordStep(WordStep): + name = "my_word_step" + + def __call__(self, word: str, operators: LanguageOperators) -> str: ... +``` + +**`TextStep`** : the general-purpose base for Stage 1 and Stage 3. Use it when your transformation needs to see the full string, or when none of the more specific bases below fit. + +```python +@register_step +class MyTextStep(TextStep): + name = "my_text_step" + + def __call__(self, text: str, operators: LanguageOperators) -> str: ... +``` + +**`ProtectStep`** : a specialization of `TextStep` for replacing a character with a placeholder token. Implement `_pattern`, which returns a compiled regex with **exactly two capture groups** (what comes before and after the character being replaced). The `__call__` is fixed: it applies the pattern as `\1{placeholder}\2`. + +```python +@register_step +class MyProtectStep(ProtectStep): + name = "my_protect_step" + placeholder = ProtectPlaceholder.MY_PLACEHOLDER + + def _pattern(self, operators: LanguageOperators) -> re.Pattern: + return re.compile(r"(\d+)X(\d+)") # two capture groups required +``` + +> Use `ProtectStep` when: one regex pattern maps to exactly one placeholder substitution. + +> Use `TextStep` directly instead when: a single pass must protect two different symbols, the replacement needs to absorb surrounding whitespace with `\s*`, or the replacement is a per-match function rather than a fixed template. + +**`RestoreStep`** : a specialization of `TextStep` for restoring a placeholder back to a string. Implement `_replacement`, which returns the string to substitute in. The `__call__` does a plain `str.replace` of the placeholder (and its case-folded form). + +```python +@register_step +class MyRestoreStep(RestoreStep): + name = "my_restore_step" + placeholder = ProtectPlaceholder.MY_PLACEHOLDER + + def _replacement(self, operators: LanguageOperators) -> str: + return operators.config.some_word or " " +``` + +> Use `RestoreStep` when: restoration is a straight token swap with no surrounding whitespace to absorb and no additional logic needed. + +> Use `TextStep` directly instead when: the placeholder was inserted with spaces around it (requiring `re.sub` with `\s*` to avoid double spaces), the marker should be deleted entirely rather than replaced, or post-replacement cleanup is needed. + +--- + +## Writing tests + +### Unit tests for a step + +Unit tests live under `tests/unit/steps/text/` or `tests/unit/steps/word/`, mirroring the step file structure. + +The `tests/unit/steps/text/conftest.py` provides two fixtures and a helper: + +- `operators` : a bare `LanguageOperators()` instance (language-agnostic) +- `english_operators` : an `EnglishOperators()` instance +- `assert_text_step_registered(step_cls)` : verifies the step is in the registry under its name + +Every test file for a step should at minimum: + +1. Assert the step is registered. +2. Instantiate the step with `MyStep()` and call it directly: `MyStep()(text, operators)`. +3. Mutate `operators.config` fields in-place to cover different language configurations without creating a full language. + +```python +# tests/unit/steps/text/my_step_test.py +from normalization.languages.base import LanguageOperators +from normalization.steps.text.my_module import MyStep + +from .conftest import assert_text_step_registered + + +def test_step_is_registered(): + assert_text_step_registered(MyStep) + + +def test_my_step_basic(operators: LanguageOperators): + result = MyStep()("some input", operators) + assert result == "expected output" + + +def test_my_step_with_config(operators: LanguageOperators): + operators.config.some_field = "custom_value" + result = MyStep()("some input", operators) + assert result == "expected output with custom value" + + +def test_my_step_with_english(english_operators): + result = MyStep()("some input", english_operators) + assert result == "english-specific output" +``` + +### E2E tests for a preset + +E2E tests validate the full pipeline (preset + language) against CSV fixtures. The test runner lives in `tests/e2e/normalization_test.py` and CSV files are organized under `tests/e2e/files/`. + +**Directory structure** : one folder per preset, one CSV per language: + +``` +tests/e2e/files/ + gladia-3/ + default.csv + da.csv + de.csv + en.csv + es.csv + fi.csv + fr.csv + it.csv + nl.csv + sv.csv +``` + +**CSV format** : two columns (`input,expected`), no quoting needed unless the value contains a comma: + +``` +input,expected +"$1,000,000",1000000 dollars +hello world,hello world +``` +> The language is derived from the filename (e.g. `fr.csv` → language code `fr`). Use `default.csv` for the language-agnostic fallback. + +**Adding test cases for an existing preset** : drop rows into the appropriate `{language_code}.csv` file, or create a new CSV if the language isn't covered yet. Tests are discovered automatically. + +**Registering a new preset** : add a block to `normalization_test.py` following the existing pattern: + +```python +_MY_PRESET_DIR = _FILES_DIR / "my-preset" +_MY_PRESET_BY_LANGUAGE = _discover_preset_tests(_MY_PRESET_DIR) +_MY_PRESET_PIPELINES: dict[str, NormalizationPipeline] = {} + +for _language in sorted(_MY_PRESET_BY_LANGUAGE): + globals()[f"test_my_preset_{_language}"] = _make_test( + "my-preset", _language, _MY_PRESET_BY_LANGUAGE[_language], _MY_PRESET_PIPELINES + ) +``` + +> Pipelines are cached per language to avoid reloading for each parametrized case. + +--- + +## Key design rules + +- **Data vs. behavior**: if only the _values_ change by language, put them in `LanguageConfig`. If the _algorithm_ changes, override a method in `LanguageOperators`. +- **Steps are language-agnostic**: a step must not contain any language-specific logic or string literals. Read from `operators.config.*` or call `operators.method()`. +- **Presets are immutable**: never modify a published preset YAML - new behavior means a new preset file. +- **Placeholder pairs**: every `protect_*` step in Stage 1 must have a matching `restore_*` in Stage 3. The pipeline validates this at load time. +- **Language folders are self-contained**: everything specific to a language lives inside its folder. Helpers used only by one language (e.g. `number_normalizer.py`) go in that language's folder, not in `steps/`. \ No newline at end of file diff --git a/docs/contributing/index.md b/docs/contributing/index.md new file mode 100644 index 0000000..d099f73 --- /dev/null +++ b/docs/contributing/index.md @@ -0,0 +1,40 @@ +# Contributing + +Bug reports, new steps, and new languages are welcome. Setup and where to start are below. Check [Contributor guide](guide.md) for design rules. + +## Setup + +```bash +git clone https://github.com/gladiaio/normalization.git +cd normalization +uv sync --all-groups +uv run pre-commit install --install-hooks +``` + +## Checks + +```bash +uv run pytest +uv run ruff check . +uv run ruff format . +uv run ty check +``` + +## Docs site (this site) + +```bash +uv sync --group docs +uv run mkdocs serve # http://127.0.0.1:8000 +uv run mkdocs build +``` + +## How to help + +| Contribution | Start here | +| ------------ | ------------------------------------------------------ | +| New language | [Checklist](guide.md#adding-a-new-language) | +| New step | [Checklist](guide.md#adding-a-new-step) | +| Bug report | GitHub issue with reproduce steps + expected vs actual | +| Question | GitHub issue with the `question` label | + +Also see [`CONTRIBUTING.md`](https://github.com/gladiaio/normalization/blob/main/CONTRIBUTING.md) for PR workflow and commit style. diff --git a/docs/getting-started.md b/docs/getting-started.md new file mode 100644 index 0000000..a96a983 --- /dev/null +++ b/docs/getting-started.md @@ -0,0 +1,59 @@ +# Getting started + +## Install + + +=== "uv" + + ```bash + uv add gladia-normalization + ``` + +=== "pip" + + ```bash + pip install gladia-normalization + ``` + +=== "From source" + + ```bash + git clone https://github.com/gladiaio/normalization.git + cd normalization + uv sync + ``` + +Requires **Python 3.10+**. + +## Normalize text + +```python +from normalization import load_pipeline + +pipeline = load_pipeline("gladia-3", language="en") +print(pipeline.normalize("It's $50 at 3:00PM")) +# it is 50 dollars at 3 pm +``` + +- First argument: built-in preset name (`"gladia-3"`) or path to a YAML file +- Second argument: language code (`"en"`, `"fr"`, …) — see [Languages](languages.md) + +## CLI + +```bash +gladia-normalization "A tea cost £2 at 3:30PM" --language en +``` + +Or without installing permanently: + +```bash +uvx gladia-normalization "A tea cost £2 at 3:30PM" --language en +``` + +More options in the [CLI reference](usage/cli.md). + +## Next steps + +- [Python API](usage/python.md) — `describe()`, custom presets +- [How it works](concepts.md) — three-stage pipeline +- [Step reference](reference/steps.md) — every available step diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..8a48936 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,45 @@ +

Open source · STT · WER

+ +# Normalization + +

+Normalize speech-to-text transcripts before computing Word Error Rate, so formatting differences stop looking like recognition errors. +

+ +
+ +| Ground truth | STT output | WER | +| ------------ | ------------------- | ---- | +| It's $50 | it is fifty dollars | 100% | +| 3:00 PM | 3 pm | 100% | +| Mr. Smith | mister smith | 100% | + +[Get started](getting-started.md){ .md-button .md-button--primary } +[How it works](concepts.md){ .md-button } + +
+ + +## Quick example + +```python +from normalization import load_pipeline + +pipeline = load_pipeline("gladia-3", language="en") +pipeline.normalize("It's $50 at 3:00PM") +# => "it is 50 dollars at 3 pm" +``` + +```bash +pip install gladia-normalization +gladia-normalization "It's $50 at 3:00PM" --language en +``` + +## What you get + +- **Deterministic presets** — same YAML preset → same output every time +- **Language-aware** — [supported languages](languages.md) with a safe fallback for others +- **Composable steps** — build custom pipelines without forking the core +- **Inspectable** — `pipeline.describe()` shows exactly what will run + +Continue with [Getting started](getting-started.md) or skim [How it works](concepts.md). diff --git a/docs/languages.md b/docs/languages.md new file mode 100644 index 0000000..d3c8fd8 --- /dev/null +++ b/docs/languages.md @@ -0,0 +1,32 @@ +# Languages + +Pass a language code to `load_pipeline` or `--language`. Unknown codes fall back to a language-agnostic default (independent transforms only). + +
+| Code | Language | +| --- | --- | +| `da` | Danish | +| `de` | German | +| `en` | English | +| `es` | Spanish | +| `fi` | Finnish | +| `fr` | French | +| `it` | Italian | +| `nl` | Dutch | +| `no` | Norwegian | +| `sv` | Swedish | +
+ +## What "language-aware" means + +Each language folder under `normalization/languages/` provides: + +- **Config data** — currency words, fillers, digit words, time maps, etc. (`LanguageConfig`) +- **Behavior overrides** — only when the algorithm itself differs (e.g. number expansion) +- **Word replacements** — a plain dict in `replacements.py` + +Steps stay language-agnostic: they read `operators.config.*` or call operator methods. + +## Adding a language + +See the [contributor guide](contributing/guide.md#adding-a-new-language). diff --git a/docs/presets.md b/docs/presets.md new file mode 100644 index 0000000..8fea3b5 --- /dev/null +++ b/docs/presets.md @@ -0,0 +1,47 @@ +# Presets + +A preset declares which steps run in each stage and in what order. + +## Built-in + +| Name | Package path | +| --- | --- | +| `gladia-3` | `normalization/presets/gladia-3.yaml` | + +```python +load_pipeline("gladia-3", language="en") +``` + +## Custom preset + +```yaml +name: my-preset-v1 + +stages: + text_pre: + - protect_email_symbols + - expand_contractions + - casefold_text + - remove_symbols + - remove_diacritics + + word: + - apply_word_replacements + + text_post: + - restore_email_at_symbol_with_word + - restore_email_dot_symbol_with_word +``` + +```python +from normalization import load_pipeline + +pipeline = load_pipeline("path/to/my-preset.yaml", language="en") +``` + +## Rules + +- Step names must match a registered step's `name` attribute — see [Step reference](reference/steps.md) +- List order = execution order +- Every `protect_*` in `text_pre` needs a matching `restore_*` in `text_post` (validated at load) +- **Published presets are immutable** — change behavior by shipping a new versioned file, never by editing an existing one diff --git a/docs/steps.md b/docs/reference/steps.md similarity index 100% rename from docs/steps.md rename to docs/reference/steps.md diff --git a/docs/stylesheets/gladia.css b/docs/stylesheets/gladia.css new file mode 100644 index 0000000..092c235 --- /dev/null +++ b/docs/stylesheets/gladia.css @@ -0,0 +1,515 @@ +/* Gladia design tokens — mapped onto MkDocs Material + * Source: gladia-design/DESIGN.md (dark-first, white contrast, purple spike) + * Suisse Intl is licensed — use the system stack that matches its metrics. + * Geist Mono (SIL OFL) is self-hosted for code / mono labels. + */ + +@font-face { + font-family: "Geist Mono"; + src: url("../assets/fonts/GeistMono-Regular.woff2") format("woff2"); + font-weight: 400; + font-style: normal; + font-display: swap; +} + +:root { + /* Primitives */ + --gladia-neutral-0: #ffffff; + --gladia-neutral-100: #f5f5f5; + --gladia-neutral-200: #e5e5e5; + --gladia-neutral-300: #d4d4d4; + --gladia-neutral-400: #a3a3a3; + --gladia-neutral-500: #727272; + --gladia-neutral-600: #515151; + --gladia-neutral-700: #252525; + --gladia-neutral-800: #1c1c1e; + --gladia-neutral-900: #0c0c0c; + --gladia-neutral-1000: #000000; + --gladia-purple-400: #947afc; + --gladia-blue-400: #1a9eff; + + --gladia-font-sans: "Suisse Intl", -apple-system, BlinkMacSystemFont, "Segoe UI", + Helvetica, Arial, sans-serif; + --gladia-font-mono: "Geist Mono", "JetBrains Mono", ui-monospace, monospace; + + --gladia-radius-1: 8px; + --gladia-radius-2: 16px; + --gladia-radius-5: 40px; + --gladia-space-4: 16px; + --gladia-space-6: 24px; + --gladia-ease-out: cubic-bezier(0, 0, 0.2, 1); + --gladia-duration: 160ms; +} + +/* ── Dark (default / Canvas) ─────────────────────────────────────────────── */ + +[data-md-color-scheme="slate"] { + --md-default-fg-color: var(--gladia-neutral-0); + --md-default-fg-color--light: var(--gladia-neutral-400); + --md-default-fg-color--lighter: var(--gladia-neutral-500); + --md-default-fg-color--lightest: var(--gladia-neutral-600); + --md-default-bg-color: var(--gladia-neutral-1000); + --md-default-bg-color--light: var(--gladia-neutral-900); + --md-default-bg-color--lighter: var(--gladia-neutral-800); + --md-default-bg-color--lightest: var(--gladia-neutral-700); + + --md-primary-fg-color: var(--gladia-neutral-1000); + --md-primary-fg-color--light: var(--gladia-neutral-900); + --md-primary-fg-color--dark: var(--gladia-neutral-1000); + --md-primary-bg-color: var(--gladia-neutral-0); + --md-primary-bg-color--light: var(--gladia-neutral-300); + + --md-accent-fg-color: var(--gladia-purple-400); + --md-accent-fg-color--transparent: rgba(148, 122, 252, 0.1); + --md-accent-bg-color: var(--gladia-neutral-0); + --md-accent-bg-color--light: var(--gladia-neutral-300); + + --md-code-fg-color: var(--gladia-neutral-200); + --md-code-bg-color: var(--gladia-neutral-900); + --md-code-hl-color: rgba(148, 122, 252, 0.18); + + --md-typeset-a-color: var(--gladia-neutral-300); + --md-typeset-table-color: rgba(255, 255, 255, 0.14); + --md-typeset-table-color--light: rgba(255, 255, 255, 0.08); + + --md-footer-bg-color: var(--gladia-neutral-1000); + --md-footer-bg-color--dark: var(--gladia-neutral-1000); + --md-footer-fg-color: var(--gladia-neutral-400); + --md-footer-fg-color--light: var(--gladia-neutral-0); + --md-footer-fg-color--lighter: var(--gladia-neutral-500); + + --md-admonition-bg-color: var(--gladia-neutral-900); + --md-admonition-fg-color: var(--gladia-neutral-0); +} + +/* ── Light (opt-in editorial band) ───────────────────────────────────────── */ + +[data-md-color-scheme="default"] { + --md-default-fg-color: var(--gladia-neutral-1000); + --md-default-fg-color--light: var(--gladia-neutral-600); + --md-default-fg-color--lighter: var(--gladia-neutral-500); + --md-default-fg-color--lightest: var(--gladia-neutral-300); + --md-default-bg-color: var(--gladia-neutral-0); + --md-default-bg-color--light: var(--gladia-neutral-50, #fafafa); + --md-default-bg-color--lighter: var(--gladia-neutral-100); + --md-default-bg-color--lightest: var(--gladia-neutral-200); + + --md-primary-fg-color: var(--gladia-neutral-0); + --md-primary-fg-color--light: var(--gladia-neutral-100); + --md-primary-fg-color--dark: var(--gladia-neutral-0); + --md-primary-bg-color: var(--gladia-neutral-1000); + --md-primary-bg-color--light: var(--gladia-neutral-700); + + --md-accent-fg-color: var(--gladia-purple-400); + --md-accent-fg-color--transparent: rgba(148, 122, 252, 0.12); + --md-accent-bg-color: var(--gladia-neutral-1000); + --md-accent-bg-color--light: var(--gladia-neutral-700); + + --md-code-fg-color: var(--gladia-neutral-800); + --md-code-bg-color: var(--gladia-neutral-100); + --md-code-hl-color: rgba(148, 122, 252, 0.14); + + --md-typeset-a-color: var(--gladia-neutral-600); + --md-typeset-table-color: rgba(0, 0, 0, 0.12); + --md-typeset-table-color--light: rgba(0, 0, 0, 0.06); + + --md-footer-bg-color: var(--gladia-neutral-1000); + --md-footer-bg-color--dark: var(--gladia-neutral-1000); + --md-footer-fg-color: var(--gladia-neutral-400); + --md-footer-fg-color--light: var(--gladia-neutral-0); + --md-footer-fg-color--lighter: var(--gladia-neutral-500); +} + +/* ── Typography ──────────────────────────────────────────────────────────── */ + +:root { + --md-text-font: var(--gladia-font-sans); + --md-code-font: var(--gladia-font-mono); +} + +body { + font-weight: 400; + letter-spacing: 0; + -webkit-font-smoothing: antialiased; +} + +.md-typeset { + font-weight: 400; + line-height: 1.5; +} + +.md-typeset h1, +.md-typeset h2, +.md-typeset h3, +.md-typeset h4 { + font-weight: 400; + letter-spacing: -0.02em; + color: var(--md-default-fg-color); +} + +.md-typeset h1 { + font-size: 2rem; + letter-spacing: -0.04em; + margin-bottom: 0.6em; +} + +.md-typeset h2 { + font-size: 1.4rem; + margin-top: 1.8em; +} + +.md-typeset strong { + font-weight: 600; + color: var(--md-default-fg-color); +} + +/* Eyebrow / section label — Geist Mono, the only brand mono usage outside code */ +.md-typeset .gladia-eyebrow { + display: inline-flex; + align-items: center; + gap: 0.5rem; + font-family: var(--gladia-font-mono); + font-size: 0.75rem; + font-weight: 400; + letter-spacing: 0.16em; + text-transform: uppercase; + color: var(--md-default-fg-color--light); + margin: 0 0 1rem; +} + +.md-typeset .gladia-eyebrow::before { + content: ""; + width: 6px; + height: 6px; + border-radius: 9999px; + background: var(--gladia-purple-400); + flex-shrink: 0; +} + +/* ── Header / nav — glass on black ───────────────────────────────────────── */ + +.md-header { + background-color: rgba(12, 12, 12, 0.72); + backdrop-filter: blur(40px); + -webkit-backdrop-filter: blur(40px); + border-bottom: 1px solid rgba(255, 255, 255, 0.08); + box-shadow: none; + color: var(--gladia-neutral-0); +} + +[data-md-color-scheme="default"] .md-header { + background-color: rgba(255, 255, 255, 0.82); + border-bottom: 1px solid rgba(0, 0, 0, 0.08); + color: var(--gladia-neutral-1000); +} + +/* Product title beside the Gladia wordmark — Material defaults this to 700 */ +.md-header__title { + font-family: var(--gladia-font-sans); + font-size: 0.95rem; + font-weight: 400; + letter-spacing: -0.02em; +} + +.md-header__topic, +.md-header__topic:first-child { + font-family: var(--gladia-font-sans); + font-weight: 400; + letter-spacing: -0.02em; +} + +.md-header__button.md-logo { + padding: 0.3rem; + margin: 0.1rem 0.35rem 0.1rem 0; + color: inherit; +} + +.md-header__button.md-logo .md-logo__svg, +.md-header__button.md-logo svg { + display: block; + height: 1.35rem; + width: auto; +} + +/* Wordmark uses currentColor — white on dark header, black on light */ +[data-md-color-scheme="slate"] .md-header, +[data-md-color-scheme="slate"] .md-header__button { + color: var(--gladia-neutral-0); +} + +[data-md-color-scheme="default"] .md-header, +[data-md-color-scheme="default"] .md-header__button { + color: var(--gladia-neutral-1000); +} + +.md-tabs { + background-color: transparent; + border-bottom: 1px solid rgba(255, 255, 255, 0.08); +} + +[data-md-color-scheme="default"] .md-tabs { + border-bottom: 1px solid rgba(0, 0, 0, 0.08); +} + +.md-nav__title, +.md-nav__link--active, +.md-nav__item .md-nav__link--active, +.md-nav__link:focus, +.md-nav__link:hover { + color: var(--md-default-fg-color); +} + +.md-nav__link--active { + font-weight: 400; +} + +.md-nav__link--active:not(.md-nav__link--passed), +.md-nav__item .md-nav__link--active { + color: var(--gladia-purple-400); +} + +/* Sidebar titles: same sans as site title, all caps */ +.md-nav__title, +.md-nav__item--section > .md-nav__link { + font-family: var(--gladia-font-sans); + font-size: 0.75rem; + font-weight: 600; + text-transform: uppercase; + color: var(--md-default-fg-color); +} + +/* ── Links — white/grey contrast; purple only as hover spike ─────────────── */ + +.md-typeset a { + color: var(--md-typeset-a-color); + text-decoration: underline; + text-decoration-color: rgba(148, 122, 252, 0); + text-underline-offset: 0.18em; + transition: + color var(--gladia-duration) var(--gladia-ease-out), + text-decoration-color var(--gladia-duration) var(--gladia-ease-out); +} + +.md-typeset a:hover, +.md-typeset a:focus { + color: var(--gladia-purple-400); + text-decoration-color: var(--gladia-purple-400); +} + +/* ── Code ────────────────────────────────────────────────────────────────── */ + +.md-typeset code, +.md-typeset kbd, +.md-typeset pre { + font-family: var(--gladia-font-mono); + font-weight: 400; + border-radius: var(--gladia-radius-1); +} + +.md-typeset pre > code { + border-radius: var(--gladia-radius-2); + border: 1px solid rgba(255, 255, 255, 0.14); + padding: var(--gladia-space-4); +} + +[data-md-color-scheme="default"] .md-typeset pre > code { + border-color: rgba(0, 0, 0, 0.1); +} + +.md-typeset .tabbed-set > .tabbed-content { + border-radius: 0 0 var(--gladia-radius-2) var(--gladia-radius-2); +} + +.md-typeset .tabbed-labels > label { + font-weight: 400; + border-radius: var(--gladia-radius-5); +} + +/* ── Tables / cards ──────────────────────────────────────────────────────── */ + +.md-typeset table:not([class]) { + border: 1px solid rgba(255, 255, 255, 0.14); + border-radius: var(--gladia-radius-2); + overflow: hidden; + box-shadow: none; +} + +[data-md-color-scheme="default"] .md-typeset table:not([class]) { + border-color: rgba(0, 0, 0, 0.1); +} + +.md-typeset table:not([class]) th { + background-color: var(--gladia-neutral-900); + font-weight: 400; + color: var(--md-default-fg-color--light); + font-family: var(--gladia-font-mono); + font-size: 0.75rem; + letter-spacing: 0.08em; + text-transform: uppercase; +} + +[data-md-color-scheme="default"] .md-typeset table:not([class]) th { + background-color: var(--gladia-neutral-100); +} + +.md-typeset table:not([class]) td, +.md-typeset table:not([class]) th { + border: none; + border-bottom: 1px solid rgba(255, 255, 255, 0.08); + border-right: 1px solid rgba(255, 255, 255, 0.08); + padding: 0.7em 1em; +} + +.md-typeset table:not([class]) td:last-child, +.md-typeset table:not([class]) th:last-child { + border-right: none; +} + +.md-typeset table:not([class]) tr:last-child td { + border-bottom: none; +} + +[data-md-color-scheme="default"] .md-typeset table:not([class]) td, +[data-md-color-scheme="default"] .md-typeset table:not([class]) th { + border-bottom-color: rgba(0, 0, 0, 0.08); + border-right-color: rgba(0, 0, 0, 0.08); +} + +/* ── Buttons / search ────────────────────────────────────────────────────── */ + +.md-search__form { + background-color: rgba(255, 255, 255, 0.08); + border: 1px solid rgba(255, 255, 255, 0.12); + border-radius: var(--gladia-radius-5); + box-shadow: none; +} + +[data-md-color-scheme="default"] .md-search__form { + background-color: var(--gladia-neutral-100); + border-color: rgba(0, 0, 0, 0.08); +} + +.md-search__input { + font-weight: 400; +} + +.md-typeset .md-button { + border-radius: var(--gladia-radius-5); + font-weight: 400; + letter-spacing: 0; + padding: 0.5em 1.25em; + transition: transform var(--gladia-duration) var(--gladia-ease-out); + /* Material defaults color to --md-primary-fg-color (black in dark / white in + light), which makes outline buttons invisible against the page bg. */ + color: var(--gladia-neutral-0); + background-color: transparent; + border: 1px solid rgba(255, 255, 255, 0.12); +} + +[data-md-color-scheme="default"] .md-typeset .md-button { + color: var(--gladia-neutral-1000); + border-color: rgba(0, 0, 0, 0.12); +} + +.md-typeset .md-button--primary { + background-color: var(--gladia-neutral-0); + color: var(--gladia-neutral-1000); + border: none; +} + +[data-md-color-scheme="default"] .md-typeset .md-button--primary { + background-color: var(--gladia-neutral-1000); + color: var(--gladia-neutral-0); +} + +.md-typeset .md-button:hover, +.md-typeset .md-button:focus { + transform: scale(1.02); + background-color: var(--gladia-neutral-0); + color: var(--gladia-neutral-1000); 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+} diff --git a/docs/usage/cli.md b/docs/usage/cli.md new file mode 100644 index 0000000..8a12ee4 --- /dev/null +++ b/docs/usage/cli.md @@ -0,0 +1,40 @@ +# CLI + +Installed as `gladia-normalization` (entry point from the package). + +## Examples + +```bash +# Single string +gladia-normalization "A tea cost £2 at 3:30PM" --language en + +# File +gladia-normalization --file transcript.txt --language en + +# Stdin +echo "A tea cost £2 at 3:30PM" | gladia-normalization --language fr + +# Custom preset +gladia-normalization "..." --preset path/to/my-preset.yaml --language en + +# Inspect pipeline (JSON) +gladia-normalization --describe --language en +``` + +Without a permanent install: + +```bash +uvx gladia-normalization "A tea cost £2 at 3:30PM" --language en +``` + +## Options + +| Flag | Default | Description | +| --- | --- | --- | +| `text` | — | Positional text to normalize (or use stdin / `--file`) | +| `-l`, `--language` | `en` | Language code | +| `-p`, `--preset` | `gladia-3` | Built-in preset name or YAML path | +| `-f`, `--file` | — | Read input from a file (mutually exclusive with positional text) | +| `--describe` | — | Print pipeline description as JSON and exit | + +Provide either positional text or `--file`, not both. diff --git a/docs/usage/python.md b/docs/usage/python.md new file mode 100644 index 0000000..961fd21 --- /dev/null +++ b/docs/usage/python.md @@ -0,0 +1,56 @@ +# Python API + +Public entry points: + +```python +from normalization import load_pipeline, NormalizationPipeline +``` + +## `load_pipeline` + +```python +load_pipeline(preset: str | Path, language: str) -> NormalizationPipeline +``` + +| Argument | Meaning | +| --- | --- | +| `preset` | Built-in name (`"gladia-3"`) or path to a YAML file | +| `language` | Language code (`"en"`, `"fr"`, …). Unknown codes use the safe default | + +Raises `FileNotFoundError` if the preset cannot be resolved. Validates protect/restore pairing at load time. + +## `NormalizationPipeline.normalize` + +```python +pipeline.normalize(text: str) -> str +``` + +Runs all three stages and returns the normalized string. + +```python +pipeline = load_pipeline("gladia-3", language="en") +pipeline.normalize("Mr. Smith paid $1,000") +# => "mister smith paid 1000 dollars" +``` + +## Inspect a pipeline + +```python +pipeline.describe() +# { +# "name": "gladia-3", +# "language": "en", +# "text_pre_steps": [...], +# "word_steps": [...], +# "text_post_steps": [...], +# } +``` + +## Custom preset file + +```python +pipeline = load_pipeline("path/to/my-preset.yaml", language="fr") +result = pipeline.normalize("Bonjour — ça coûte 50€") +``` + +Preset format: [Presets](../presets.md). diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..6721312 --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,89 @@ +site_name: Normalization +site_description: Normalize speech-to-text transcripts for fair WER comparison +site_url: https://gladiaio.github.io/normalization/ +repo_url: https://github.com/gladiaio/normalization +repo_name: gladiaio/normalization +edit_uri: edit/main/docs/ +docs_dir: docs +site_dir: site +copyright: Copyright © Gladia + +theme: + name: material + custom_dir: overrides + favicon: assets/favicon.svg + font: false + palette: + # Dark-first (Gladia canvas) + - scheme: slate + primary: custom + accent: custom + toggle: + icon: material/white-balance-sunny + name: Switch to light mode + - scheme: default + primary: custom + accent: custom + toggle: + icon: material/weather-night + name: Switch to dark mode + features: + - content.code.copy + - content.tabs.link + - navigation.footer + - navigation.instant + - navigation.sections + - navigation.top + - search.highlight + - search.suggest + - toc.follow + icon: + repo: fontawesome/brands/github + +extra_css: + - stylesheets/gladia.css + +plugins: + - search + +validation: + omitted_files: warn + absolute_links: info + unrecognized_links: warn + anchors: warn + +markdown_extensions: + - admonition + - attr_list + - md_in_html + - pymdownx.details + - pymdownx.highlight: + anchor_linenums: true + - pymdownx.superfences + - pymdownx.tabbed: + alternate_style: true + - tables + - toc: + permalink: true + +nav: + - Home: index.md + - Getting started: getting-started.md + - How it works: concepts.md + - Usage: + - Python API: usage/python.md + - CLI: usage/cli.md + - Reference: + - Presets: presets.md + - Languages: languages.md + - Steps: reference/steps.md + - Contributing: + - Overview: contributing/index.md + - Contributor guide: contributing/guide.md + +extra: + social: + - icon: fontawesome/brands/github + link: https://github.com/gladiaio/normalization + - icon: fontawesome/solid/globe + link: https://gladia.io diff --git a/overrides/main.html b/overrides/main.html new file mode 100644 index 0000000..94d9808 --- /dev/null +++ b/overrides/main.html @@ -0,0 +1 @@ +{% extends "base.html" %} diff --git a/overrides/partials/logo.html b/overrides/partials/logo.html new file mode 100644 index 0000000..0a363a5 --- /dev/null +++ b/overrides/partials/logo.html @@ -0,0 +1,5 @@ +{# Inlined wordmark so fill="currentColor" follows header text color. #} + + + + diff --git a/pyproject.toml b/pyproject.toml index 9320355..6476829 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,11 +38,16 @@ gladia-normalization = "normalization.cli:main" [project.urls] Homepage = "https://github.com/gladiaio/normalization" +Documentation = "https://gladiaio.github.io/normalization/" Repository = "https://github.com/gladiaio/normalization" "Bug Tracker" = "https://github.com/gladiaio/normalization/issues" [dependency-groups] dev = ["pre-commit>=4.5.1", "ty>=0.0.20", "pytest>=9.0.3", "pygments>=2.20.0", "ruff>=0.15.2"] +docs = [ + "mkdocs>=1.6.1", + "mkdocs-material>=9.7.6", +] [tool.uv] # Read by astral-sh/setup-uv in CI/CD. 0.13.4 ships the root store update for the eMudhra CA distrust. diff --git a/scripts/generate_step_docs.py b/scripts/generate_step_docs.py index b644f1c..aea7bb2 100644 --- a/scripts/generate_step_docs.py +++ b/scripts/generate_step_docs.py @@ -5,7 +5,7 @@ Usage: python scripts/generate_step_docs.py [output_path] -Output defaults to docs/steps.md. +Output defaults to docs/reference/steps.md. 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