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feat(block-kit): add data visualization block example #101

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1 change: 1 addition & 0 deletions block-kit/README.md
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Expand Up @@ -11,6 +11,7 @@ Read the [docs](https://docs.slack.dev/block-kit/) to learn concepts behind thes
- **[Actions](https://docs.slack.dev/reference/block-kit/blocks/actions-block)**: Holds multiple interactive elements. [Implementation](./src/blocks/actions.py).
- **[Context](https://docs.slack.dev/reference/block-kit/blocks/context-block)**: Provides contextual info, which can include both images and text. [Implementation](./src/blocks/context.py).
- **[Context actions](https://docs.slack.dev/reference/block-kit/blocks/context-actions-block)**: Displays actions as contextual info, which can include both feedback buttons and icon buttons. [Implementation](./src/blocks/context_actions.py).
- **[Data visualization](https://docs.slack.dev/reference/block-kit/blocks/data-visualization-block)**: Displays data using a line, bar, area, or pie chart. [Implementation](./src/blocks/data_visualization.py).
- **[Divider](https://docs.slack.dev/reference/block-kit/blocks/divider-block)**: Visually separates pieces of info inside of a message. [Implementation](./src/blocks/divider.py).
- **[File](https://docs.slack.dev/reference/block-kit/blocks/file-block)**: Displays info about remote files. [Implementation](./src/blocks/file.py).
- **[Header](https://docs.slack.dev/reference/block-kit/blocks/header-block)**: Displays a larger-sized text. [Implementation](./src/blocks/header.py).
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139 changes: 139 additions & 0 deletions block-kit/src/blocks/data_visualization.py
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from slack_sdk.models.blocks import DataVisualizationBlock


def example01() -> DataVisualizationBlock:
"""
Displays data using a line, bar, area, or pie chart.
https://docs.slack.dev/reference/block-kit/blocks/data-visualization-block/

A pie chart with labeled segments.
"""
block = DataVisualizationBlock(
title="My Favorite Candy Bars",
chart={
"type": "pie",
"segments": [
{"label": "Kit Kat", "value": 45},
{"label": "Twix", "value": 28},
{"label": "Crunch", "value": 18},
{"label": "Milky Way", "value": 9},
],
},
)
return block


def example02() -> DataVisualizationBlock:
"""
A bar chart with a single series and axis configuration.
"""
block = DataVisualizationBlock(
title="My Favorite Pies by Percentage of Tastiness",
chart={
"type": "bar",
"series": [
{
"name": "Pies",
"data": [
{"label": "Strawberry Rhubarb", "value": 85},
{"label": "Pumpkin", "value": 70},
{"label": "Lemon Meringue", "value": 72},
{"label": "Blueberry", "value": 90},
{"label": "Key Lime", "value": 56},
],
}
],
"axis_config": {
"categories": [
"Strawberry Rhubarb",
"Pumpkin",
"Lemon Meringue",
"Blueberry",
"Key Lime",
],
"x_label": "Pies",
"y_label": "Percentage of Tastiness",
},
},
)
return block


def example03() -> DataVisualizationBlock:
"""
An area chart comparing multiple series.
"""
block = DataVisualizationBlock(
title="Daily Active Users",
chart={
"type": "area",
"series": [
{
"name": "Pied Piper Free Tier",
"data": [
{"label": "Mon", "value": 12000},
{"label": "Tues", "value": 13500},
{"label": "Wed", "value": 15200},
{"label": "Thurs", "value": 14800},
{"label": "Fri", "value": 16400},
],
},
{
"name": "Pied Piper Paid Tier",
"data": [
{"label": "Mon", "value": 4500},
{"label": "Tues", "value": 4800},
{"label": "Wed", "value": 5100},
{"label": "Thurs", "value": 5600},
{"label": "Fri", "value": 6200},
],
},
],
"axis_config": {
"categories": ["Mon", "Tues", "Wed", "Thur", "Fri"],
"x_label": "Day",
"y_label": "Users",
},
},
)
return block


def example04() -> DataVisualizationBlock:
"""
A line chart comparing multiple series over time.
"""
block = DataVisualizationBlock(
title="Weekly Paper Sales",
chart={
"type": "line",
"series": [
{
"name": "Dunder Mifflin Infinity Website",
"data": [
{"label": "Week 1", "value": 32000},
{"label": "Week 2", "value": 35000},
{"label": "Week 3", "value": 29000},
{"label": "Week 4", "value": 41000},
{"label": "Week 5", "value": 45000},
],
},
{
"name": "Dunder Mifflin In-store",
"data": [
{"label": "Week 1", "value": 32000},
{"label": "Week 2", "value": 35000},
{"label": "Week 3", "value": 29000},
{"label": "Week 4", "value": 41000},
{"label": "Week 5", "value": 45000},
],
},
],
"axis_config": {
"categories": ["Week 1", "Week 2", "Week 3", "Week 4", "Week 5"],
"x_label": "Week",
"y_label": "Paper Sales (USD)",
},
},
)
return block
138 changes: 138 additions & 0 deletions block-kit/tests/blocks/test_data_visualization.py
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import json

from src.blocks import data_visualization


def test_example01():
block = data_visualization.example01()
actual = block.to_dict()
expected = {
"type": "data_visualization",
"title": "My Favorite Candy Bars",
"chart": {
"type": "pie",
"segments": [
{"label": "Kit Kat", "value": 45},
{"label": "Twix", "value": 28},
{"label": "Crunch", "value": 18},
{"label": "Milky Way", "value": 9},
],
},
}
assert json.dumps(actual, sort_keys=True) == json.dumps(expected, sort_keys=True)


def test_example02():
block = data_visualization.example02()
actual = block.to_dict()
expected = {
"type": "data_visualization",
"title": "My Favorite Pies by Percentage of Tastiness",
"chart": {
"type": "bar",
"series": [
{
"name": "Pies",
"data": [
{"label": "Strawberry Rhubarb", "value": 85},
{"label": "Pumpkin", "value": 70},
{"label": "Lemon Meringue", "value": 72},
{"label": "Blueberry", "value": 90},
{"label": "Key Lime", "value": 56},
],
}
],
"axis_config": {
"categories": [
"Strawberry Rhubarb",
"Pumpkin",
"Lemon Meringue",
"Blueberry",
"Key Lime",
],
"x_label": "Pies",
"y_label": "Percentage of Tastiness",
},
},
}
assert json.dumps(actual, sort_keys=True) == json.dumps(expected, sort_keys=True)


def test_example03():
block = data_visualization.example03()
actual = block.to_dict()
expected = {
"type": "data_visualization",
"title": "Daily Active Users",
"chart": {
"type": "area",
"series": [
{
"name": "Pied Piper Free Tier",
"data": [
{"label": "Mon", "value": 12000},
{"label": "Tues", "value": 13500},
{"label": "Wed", "value": 15200},
{"label": "Thurs", "value": 14800},
{"label": "Fri", "value": 16400},
],
},
{
"name": "Pied Piper Paid Tier",
"data": [
{"label": "Mon", "value": 4500},
{"label": "Tues", "value": 4800},
{"label": "Wed", "value": 5100},
{"label": "Thurs", "value": 5600},
{"label": "Fri", "value": 6200},
],
},
],
"axis_config": {
"categories": ["Mon", "Tues", "Wed", "Thur", "Fri"],
"x_label": "Day",
"y_label": "Users",
},
},
}
assert json.dumps(actual, sort_keys=True) == json.dumps(expected, sort_keys=True)


def test_example04():
block = data_visualization.example04()
actual = block.to_dict()
expected = {
"type": "data_visualization",
"title": "Weekly Paper Sales",
"chart": {
"type": "line",
"series": [
{
"name": "Dunder Mifflin Infinity Website",
"data": [
{"label": "Week 1", "value": 32000},
{"label": "Week 2", "value": 35000},
{"label": "Week 3", "value": 29000},
{"label": "Week 4", "value": 41000},
{"label": "Week 5", "value": 45000},
],
},
{
"name": "Dunder Mifflin In-store",
"data": [
{"label": "Week 1", "value": 32000},
{"label": "Week 2", "value": 35000},
{"label": "Week 3", "value": 29000},
{"label": "Week 4", "value": 41000},
{"label": "Week 5", "value": 45000},
],
},
],
"axis_config": {
"categories": ["Week 1", "Week 2", "Week 3", "Week 4", "Week 5"],
"x_label": "Week",
"y_label": "Paper Sales (USD)",
},
},
}
assert json.dumps(actual, sort_keys=True) == json.dumps(expected, sort_keys=True)
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