🧹 Internal evolution to update the code style to the latest versions and de facto standards, with better typing, input validation, and serialization.
Hardly any new features (.make_svg()), but some bug fixes.
BREAKING-CHANGE: Now the chart creation from a configuration key/file/dict is done with PsychroChart.create(config), instead of old PsychroChart(config)
Changes
🏗️ Add pydantic models for chart + annotations styling and config, for better (de)serialization and parameter validation.
New models are:
CurveStyle, LabelStyle, TickStyle, ZoneStyle := to parse & handle defaults for matplotlib styling parameters
ChartConfig for the full chart configuration, including sub-models ChartFigure, ChartLimits, and ChartParams, to mirror the old obfuscated config, with the same default values as before
ChartPoint and ChartSeries for styled single-point or array-data annotations
ChartLine for styled connectors between named points (now without outline 'marker' by default)
ChartArea for styled convex areas delimited by a list of named points
ChartAnnots as container for all of the above
ChartZone (and ChartZones as a list), for styled fixed areas (like the default winter/summer comfort zones)
♻️ Evolve load methods to parse inputs into pydantic models with near-zero (expected 🤞) breaks when reading old data
💥 Rework PsychroChart class to work with pydantic PsychroChartModel. As the chart is now a pydantic model, there is a chart.json(...) method, and loading from serialized data is available with PsychroChart.parse_file( / .validate( / etc 🤩
✨ Add .make_svg() method to produce a SVG file as text, and evolve .save(...) with optional canvas_cls: Type[FigureCanvasBase], to select kind of matplotlib canvas where to print the chart
✨ Support file creation in subfolders with chart.save(dest)
🚚 rsc: Deterministic SVG output in tests, and README images without date metadata
✅ tests: Adapt API changes in unit tests, remove usages of unittest.TestCase, add new tests for pydantic models, annotations, and serialization methods.
🧹 Internal evolution to update the code style to the latest versions and de facto standards, with better typing, input validation, and serialization. Hardly any new features (
.make_svg()), but some bug fixes.Changes
🏗️ Add
pydanticmodels for chart + annotations styling and config, for better (de)serialization and parameter validation.New models are:
CurveStyle,LabelStyle,TickStyle,ZoneStyle:= to parse & handle defaults for matplotlib styling parametersChartConfigfor the full chart configuration, including sub-modelsChartFigure,ChartLimits, andChartParams, to mirror the old obfuscated config, with the same default values as beforeChartPointandChartSeriesfor styled single-point or array-data annotationsChartLinefor styled connectors between named points (now without outline 'marker' by default)ChartAreafor styled convex areas delimited by a list of named pointsChartAnnotsas container for all of the aboveChartZone(andChartZonesas a list), for styled fixed areas (like the default winter/summer comfort zones)♻️ Evolve load methods to parse inputs into pydantic models with near-zero (expected 🤞) breaks when reading old data
💥 Rework
PsychroChartclass to work with pydanticPsychroChartModel. As the chart is now a pydantic model, there is achart.json(...)method, and loading from serialized data is available withPsychroChart.parse_file(/.validate(/ etc 🤩✨ Add
.make_svg()method to produce a SVG file as text, and evolve.save(...)with optionalcanvas_cls: Type[FigureCanvasBase], to select kind of matplotlib canvas where to print the chart✨ Support file creation in subfolders with chart.save(dest)
🚚 rsc: Deterministic SVG output in tests, and README images without date metadata
✅ tests: Adapt API changes in unit tests, remove usages of
unittest.TestCase, add new tests for pydantic models, annotations, and serialization methods.