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Use ml tool output with Python Editor POC
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/** | ||
* (c) 2021-2022, Micro:bit Educational Foundation and contributors | ||
* | ||
* SPDX-License-Identifier: MIT | ||
*/ | ||
import { | ||
Box, | ||
Collapse, | ||
Divider, | ||
Flex, | ||
HStack, | ||
List, | ||
ListItem, | ||
Select, | ||
Stack, | ||
Text, | ||
useDisclosure, | ||
} from "@chakra-ui/react"; | ||
import AreaHeading from "../common/AreaHeading"; | ||
import HeadedScrollablePanel from "../common/HeadedScrollablePanel"; | ||
import { docStyles } from "../common/documentation-styles"; | ||
import { useRouterTabSlug } from "../router-hooks"; | ||
import DocumentationHeading from "./common/DocumentationHeading"; | ||
import ShowMoreButton from "./common/ShowMoreButton"; | ||
import Highlight from "./reference/Highlight"; | ||
import CodeEmbed from "./common/CodeEmbed"; | ||
import OpenButton from "../project/OpenButton"; | ||
import { useModelData } from "./ml/use-model-data"; | ||
import { ChangeEvent, useCallback, useState } from "react"; | ||
|
||
interface ModelTopicEntry { | ||
name: string; | ||
text: string; | ||
code: string | ((actionName: string) => string); | ||
slug: string; | ||
detail?: string; | ||
alternativesLabel?: string; | ||
} | ||
|
||
const modelTopicEntries: ModelTopicEntry[] = [ | ||
{ | ||
name: "Class names", | ||
text: "Return the class names of the current model.", | ||
code: "import model\n\n\nnamesList = model.get_class_names()", | ||
slug: "class-names", | ||
}, | ||
{ | ||
name: "Current action", | ||
text: "Return the current recognised action.", | ||
code: "import model\n\n\ndisplay.scroll(model.current_action())", | ||
slug: "current-action", | ||
}, | ||
{ | ||
name: "Is action", | ||
text: "Check if an action is currently being performed.", | ||
code: (actionName) => | ||
`import model\n\n\nwhile True:\n if model.is_action('${actionName}'):\n display.scroll('Yes')`, | ||
slug: "is-action", | ||
detail: "Triggered on the current recognised action.", | ||
alternativesLabel: "Select action:", | ||
}, | ||
{ | ||
name: "Was action", | ||
text: "Check if an action was performed.", | ||
code: (actionName) => | ||
`import model\n\n\nwhile True:\n if model.was_action('${actionName}'):\n display.scroll('Yes')`, | ||
slug: "was-action", | ||
detail: "Triggered if the specified action was recognised since last time.", | ||
alternativesLabel: "Select action:", | ||
}, | ||
]; | ||
|
||
const ModelArea = () => { | ||
const [modelData] = useModelData(); | ||
return ( | ||
<HeadedScrollablePanel | ||
heading={ | ||
<AreaHeading | ||
name="Machine learning" | ||
description="Use the machine learning model that was trained" | ||
/> | ||
} | ||
> | ||
<Box | ||
p={5} | ||
pb={1} | ||
fontSize="sm" | ||
sx={{ | ||
...docStyles, | ||
}} | ||
> | ||
<Stack spacing={3}> | ||
<Text>Open your data.json file to get started.</Text> | ||
<OpenButton alignSelf="flex-start" fileType="mljson" mode="button" /> | ||
</Stack> | ||
</Box> | ||
{modelData.length > 0 && ( | ||
<> | ||
<Box | ||
p={5} | ||
pb={1} | ||
fontSize="sm" | ||
sx={{ | ||
...docStyles, | ||
}} | ||
> | ||
<Text>Some optional introduction text</Text> | ||
</Box> | ||
<List flex="1 1 auto"> | ||
{modelTopicEntries.map((entry) => ( | ||
<ListItem key={entry.slug}> | ||
<ModelTopicEntry content={entry} /> | ||
<Divider /> | ||
</ListItem> | ||
))} | ||
</List> | ||
</> | ||
)} | ||
</HeadedScrollablePanel> | ||
); | ||
}; | ||
|
||
interface MlItemProps { | ||
content: ModelTopicEntry; | ||
} | ||
|
||
const ModelTopicEntry = ({ content }: MlItemProps) => { | ||
const { name, text, slug, code, detail, alternativesLabel } = content; | ||
const hasMore = true; | ||
const disclosure = useDisclosure(); | ||
const [anchor] = useRouterTabSlug("model"); | ||
const [modelData] = useModelData(); | ||
const [selectedAlternative, setSelectedAlternative] = useState< | ||
string | undefined | ||
>(alternativesLabel ? modelData[0].ID.toString() : undefined); | ||
const [processedCode, setProcessedCode] = useState<string>(() => { | ||
return typeof code === "string" ? code : code(modelData[0].name); | ||
}); | ||
|
||
const handleSelectChange = useCallback( | ||
(e: ChangeEvent<HTMLSelectElement>) => { | ||
const actionName = modelData.find( | ||
(action) => action.ID === parseInt(e.currentTarget.value) | ||
)?.name; | ||
if (actionName && typeof code === "function") { | ||
setProcessedCode(code(actionName)); | ||
} | ||
setSelectedAlternative(e.currentTarget.value); | ||
}, | ||
[code, modelData] | ||
); | ||
return ( | ||
<Highlight | ||
anchor={anchor} | ||
id={name} | ||
active={anchor?.id === slug} | ||
disclosure={disclosure} | ||
> | ||
<Box | ||
fontSize="sm" | ||
p={5} | ||
pr={3} | ||
mt={1} | ||
mb={1} | ||
className="docs-code" | ||
sx={{ | ||
...docStyles, | ||
}} | ||
> | ||
<HStack justifyContent="space-between" flexWrap="nowrap"> | ||
<DocumentationHeading name={name} isV2Only={false} /> | ||
{hasMore && ( | ||
<ShowMoreButton | ||
isBrief | ||
onClick={disclosure.onToggle} | ||
isOpen={disclosure.isOpen} | ||
/> | ||
)} | ||
</HStack> | ||
<Stack spacing={3} mt={3}> | ||
<Text noOfLines={disclosure.isOpen ? undefined : 1}>{text}</Text> | ||
{alternativesLabel && ( | ||
<Flex wrap="wrap" as="label"> | ||
<Text alignSelf="center" mr={2} as="span"> | ||
{alternativesLabel} | ||
</Text> | ||
<Select | ||
w="fit-content" | ||
onChange={handleSelectChange} | ||
value={selectedAlternative} | ||
size="sm" | ||
> | ||
{modelData.map((action) => ( | ||
<option key={action.ID} value={action.ID}> | ||
{action.name} | ||
</option> | ||
))} | ||
</Select> | ||
</Flex> | ||
)} | ||
<CodeEmbed | ||
code={processedCode} | ||
parentSlug={slug} | ||
toolkitType="model" | ||
/> | ||
</Stack> | ||
{hasMore && ( | ||
<Collapse in={disclosure.isOpen}> | ||
<Stack | ||
spacing={3} | ||
pt={detail ? 3 : 0} | ||
noOfLines={!disclosure.isOpen ? 1 : undefined} | ||
> | ||
<Text>{detail}</Text> | ||
</Stack> | ||
</Collapse> | ||
)} | ||
</Box> | ||
</Highlight> | ||
); | ||
}; | ||
|
||
export default ModelArea; |
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