Reporting

Reporting is available in two forms:

live local browser report via ReportServer
shareable static HTML export via ReportBuilder.save_static_html()

`ReportServer`

from plantain2asr import ReportServer

ReportServer(dataset, audio_dir="data/golos").serve()
ReportServer(dataset, audio_dir="data/golos", port=9000, sections=[MySection()]).serve()

Parameter	Type	Default	Description
`dataset`	`BaseASRDataset`	required	Usually a normalized dataset with metrics
`audio_dir`	`str`	`""`	Root for serving audio files
`port`	`int`	`8765`	HTTP port
`sections`	`list[BaseSection]`	`None`	Extra tabs appended after defaults

Default tabs:

Metrics
Error Frequency
Diff

`ReportBuilder`

from plantain2asr.reporting.builder import ReportBuilder

builder = ReportBuilder(dataset)
data = builder.build()
builder.save_static_html("artifacts/report.html")

Use save_static_html() when you need a report that can be opened without running a local server.

This is also what Experiment.save_report_html() delegates to.

`BaseSection`

from plantain2asr import BaseSection

class BaseSection(ABC):
    @property
    def name(self) -> str: ...
    @property
    def title(self) -> str: ...
    @property
    def icon(self) -> str: ...

    def compute(self, dataset) -> dict: ...
    def js_function(self) -> str: ...

    def panel_html(self) -> str: ...
    def css(self) -> str: ...

See Custom Report Section for a full example.

Built-in sections

`MetricsSection`

Sortable metrics table with model-aware filtering.

`ErrorFrequencySection`

Top substitutions, insertions, and deletions with drill-down examples and audio playback.

`DiffSection`

Word-level alignment between reference and hypothesis, with audio access in both live and static modes.