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Implement Conformation Errors graphs based on resolution and time
Two new components, ConformationErrorsVsResolution and ConformationErrorsVsYear are added to visualize conformational anomalies. They include state management and PDB toggle functionalities to enhance user interaction. These implementations provide additional analytical depth into the datasets. Signed-off-by: Jordan Dialpuri <44945647+Dialpuri@users.noreply.github.com>
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189
webapp/src/statistics/Graphs/ConformationErrorsVsYear.tsx
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import React, { useEffect, useState } from 'react'; | ||
import Loading from '../../shared/Loading/Loading.tsx'; | ||
import Plot from 'react-plotly.js'; | ||
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export default function ConformationErrorsVsYear(props: { database: string }) { | ||
const [totalTrace, setTotalTrace] = useState(); | ||
const [errorTrace, setErrorTrace] = useState(); | ||
const [relativeTrace, setRelativeTrace] = useState(); | ||
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// const [depositedTrace, setDepositedTrace] = useState(); | ||
const d = new Date(); | ||
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const [data, setData] = useState<Record< | ||
string, | ||
Record<string, Record<string, number>> | ||
> | null>(null); | ||
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const [width, setWidth] = useState(1000); | ||
const [height, setHeight] = useState(1000); | ||
const [legendDown, setLegendDown] = useState(false); | ||
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useEffect(() => { | ||
const url = | ||
'https://raw.githubusercontent.com/Dialpuri/PrivateerDatabase/master/stats/conformational_errors_per_year.json'; | ||
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fetch(url) | ||
.then(async (response) => await response.json()) | ||
.then((data) => { | ||
setData( | ||
data as Record< | ||
string, | ||
Record<string, Record<string, number>> | ||
> | ||
); | ||
}) | ||
.catch((error) => { | ||
console.error('Error:', error); | ||
}); | ||
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function handleResize() { | ||
const currentWidth = window.innerWidth; | ||
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if (currentWidth < 1000) { | ||
setWidth(0.75 * currentWidth); | ||
setHeight(600); | ||
setLegendDown(true); | ||
} else { | ||
setWidth(Math.max(0.75 * currentWidth, 1000)); | ||
setHeight(0.5 * Math.max(0.75 * currentWidth, 1000)); | ||
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setLegendDown(false); | ||
} | ||
} | ||
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window.addEventListener('resize', handleResize); | ||
handleResize(); | ||
}, []); | ||
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useEffect(() => { | ||
if (data === null) return; | ||
const newTotalTrace = { | ||
x: Object.keys(data[props.database]), | ||
y: Object.values(data[props.database]).map((e) => { | ||
return e.totalChair + e.totalNonChair; | ||
}), | ||
type: 'scatter', | ||
mode: 'lines', | ||
// marker: {color: 'red'}, | ||
name: 'Total Sugars', | ||
}; | ||
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setTotalTrace(newTotalTrace); | ||
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const newErrorTrace = { | ||
x: Object.keys(data[props.database]), | ||
y: Object.values(data[props.database]).map((e) => { | ||
return e.totalNonChair; | ||
}), | ||
type: 'scatter', | ||
mode: 'lines', | ||
// marker: {color: 'green'}, | ||
name: 'Non Chair Sugars', | ||
}; | ||
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setErrorTrace(newErrorTrace); | ||
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const newRelativeTrace = { | ||
x: Object.keys(data[props.database]), | ||
y: Object.values(data[props.database]).map((e) => { | ||
return (100 * e.totalErrors) / e.totalGlycans; | ||
}), | ||
type: 'scatter', | ||
mode: 'lines', | ||
yaxis: 'y2', | ||
// marker: {color: 'green'}, | ||
name: 'Relative Validation Errors ', | ||
}; | ||
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setRelativeTrace(newRelativeTrace); | ||
}, [data, props.database]); | ||
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return ( | ||
<> | ||
{data === null ? ( | ||
<Loading loadingText={'Crunching latest data...'} /> | ||
) : ( | ||
<Plot | ||
data={[ | ||
totalTrace, | ||
errorTrace, | ||
// relativeTrace | ||
]} | ||
layout={{ | ||
autosize: true, | ||
width, | ||
height, | ||
title: { | ||
text: `Conformational Anomalies in ${ | ||
props.database === 'pdbredo' | ||
? 'PDB-REDO' | ||
: 'the PDB' | ||
} over time`, | ||
x: 0.5, | ||
// y: 1.1, | ||
xanchor: 'auto', // or 'auto', which matches 'left' in this case | ||
yanchor: 'bottom', | ||
xref: 'paper', | ||
yref: 'paper', | ||
}, | ||
plot_bgcolor: '#FFFFFF', | ||
paper_bgcolor: 'rgba(0,0,0,0)', | ||
modebar: { | ||
bgcolor: 'rgba(0,0,0,0)', | ||
color: 'gray', | ||
activecolor: 'black', | ||
}, | ||
yaxis: { | ||
title: { | ||
text: 'Number', | ||
}, | ||
tickformat: ',.0f', | ||
linewidth: 2, | ||
mirror: true, | ||
automargin: true, | ||
ticksuffix: ' ', | ||
tickprefix: ' ', | ||
range: [-50, 35000], | ||
}, | ||
yaxis2: { | ||
overlaying: 'y', | ||
tickformat: ',.0f', | ||
tickmode: 'auto', | ||
// anchor: 'free', | ||
side: 'right', | ||
automargin: true, | ||
tickprefix: ' ', | ||
range: [0, 100], | ||
}, | ||
xaxis: { | ||
title: { | ||
text: 'Year', | ||
}, | ||
linecolor: 'black', | ||
linewidth: 2, | ||
mirror: true, | ||
tickmode: 'auto', | ||
range: [1980, d.getFullYear()], | ||
}, | ||
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legend: { | ||
x: legendDown ? 0 : 1.15, | ||
y: legendDown ? -0.6 : 0.5, | ||
// bgcolor: '#FFFFFF', | ||
}, | ||
}} | ||
config={{ | ||
toImageButtonOptions: { | ||
format: 'svg', | ||
filename: 'validationErrorsOverTime', | ||
height: 1000, | ||
width: 1500, | ||
scale: 1, | ||
}, | ||
}} | ||
/> | ||
)} | ||
</> | ||
); | ||
} |
191 changes: 191 additions & 0 deletions
191
webapp/src/statistics/Graphs/ConformationalErrorsVsResolution.tsx
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@@ -0,0 +1,191 @@ | ||
import React, { lazy, useEffect, useState } from 'react'; | ||
import Loading from '../../shared/Loading/Loading.tsx'; | ||
import Plot from 'react-plotly.js'; | ||
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export default function ConformationalErrorsVsResolution(props: { | ||
database: string; | ||
}) { | ||
const [totalTrace, setTotalTrace] = useState(); | ||
const [errorTrace, setErrorTrace] = useState(); | ||
const [relativeTrace, setRelativeTrace] = useState(); | ||
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||
// const [depositedTrace, setDepositedTrace] = useState(); | ||
|
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const [data, setData] = useState<Record< | ||
string, | ||
Record<string, Record<string, number>> | ||
> | null>(null); | ||
|
||
const [width, setWidth] = useState(1000); | ||
const [height, setHeight] = useState(1000); | ||
const [legendDown, setLegendDown] = useState(false); | ||
|
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useEffect(() => { | ||
const url = | ||
'https://raw.githubusercontent.com/Dialpuri/PrivateerDatabase/master/stats/conformational_errors_per_resolution.json'; | ||
|
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fetch(url) | ||
.then(async (response) => await response.json()) | ||
.then((data) => { | ||
setData( | ||
data as Record< | ||
string, | ||
Record<string, Record<string, number>> | ||
> | ||
); | ||
}) | ||
.catch((error) => { | ||
console.error('Error:', error); | ||
}); | ||
|
||
function handleResize() { | ||
const currentWidth = window.innerWidth; | ||
|
||
if (currentWidth < 1000) { | ||
setWidth(0.75 * currentWidth); | ||
setHeight(600); | ||
setLegendDown(true); | ||
} else { | ||
setWidth(Math.max(0.75 * currentWidth, 1000)); | ||
setHeight(0.5 * Math.max(0.75 * currentWidth, 1000)); | ||
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setLegendDown(false); | ||
} | ||
} | ||
|
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window.addEventListener('resize', handleResize); | ||
handleResize(); | ||
}, []); | ||
|
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useEffect(() => { | ||
if (data === null) return; | ||
const newTotalTrace = { | ||
x: Object.keys(data[props.database]), | ||
y: Object.values(data[props.database]).map((e) => { | ||
return e.totalChair + e.totalNonChair; | ||
}), | ||
type: 'scatter', | ||
mode: 'lines', | ||
// marker: {color: 'red'}, | ||
name: 'Total Sugars', | ||
}; | ||
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setTotalTrace(newTotalTrace); | ||
|
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const newErrorTrace = { | ||
x: Object.keys(data[props.database]), | ||
y: Object.values(data[props.database]).map((e) => { | ||
return e.totalNonChair; | ||
}), | ||
type: 'scatter', | ||
mode: 'lines', | ||
// marker: {color: 'green'}, | ||
name: 'Total Non-chair Sugars', | ||
}; | ||
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setErrorTrace(newErrorTrace); | ||
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const newRelativeTrace = { | ||
x: Object.keys(data[props.database]), | ||
y: Object.values(data[props.database]).map((e) => { | ||
return (100 * e.totalErrors) / e.totalGlyco; | ||
}), | ||
type: 'scatter', | ||
mode: 'lines', | ||
// marker: {color: 'green'}, | ||
yaxis: 'y2', | ||
name: 'Validation Errors', | ||
}; | ||
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setRelativeTrace(newRelativeTrace); | ||
}, [data, props.database]); | ||
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return ( | ||
<> | ||
{data === null ? ( | ||
<Loading loadingText={'Crunching latest data...'} /> | ||
) : ( | ||
<Plot | ||
data={[ | ||
totalTrace, | ||
errorTrace, | ||
// relativeTrace | ||
]} | ||
layout={{ | ||
autosize: true, | ||
width, | ||
height, | ||
title: { | ||
text: `Conformational Anomalies in ${ | ||
props.database === 'pdbredo' | ||
? 'PDB-REDO' | ||
: 'the PDB' | ||
} with resolution`, | ||
x: 0.5, | ||
// y: 1.1, | ||
xanchor: 'auto', // or 'auto', which matches 'left' in this case | ||
yanchor: 'bottom', | ||
xref: 'paper', | ||
yref: 'paper', | ||
}, | ||
plot_bgcolor: '#FFFFFF', | ||
paper_bgcolor: 'rgba(0,0,0,0)', | ||
modebar: { | ||
bgcolor: 'rgba(0,0,0,0)', | ||
color: 'gray', | ||
activecolor: 'black', | ||
}, | ||
yaxis: { | ||
title: { | ||
text: 'Number', | ||
}, | ||
tickformat: ',.0f', | ||
linewidth: 2, | ||
mirror: true, | ||
automargin: true, | ||
ticksuffix: ' ', | ||
tickprefix: ' ', | ||
range: [-50, 14000], | ||
// type: 'log' | ||
}, | ||
yaxis2: { | ||
overlaying: 'y', | ||
tickformat: ',.0f', | ||
tickmode: 'auto', | ||
// anchor: 'free', | ||
side: 'right', | ||
automargin: true, | ||
tickprefix: ' ', | ||
range: [0, 100], | ||
}, | ||
xaxis: { | ||
title: { | ||
text: 'Resolution / Å', | ||
}, | ||
linecolor: 'black', | ||
linewidth: 2, | ||
mirror: true, | ||
tickmode: 'auto', | ||
range: [0, 5], | ||
}, | ||
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legend: { | ||
x: legendDown ? 0 : 1.15, | ||
y: legendDown ? -0.6 : 0.5, | ||
// bgcolor: '#FFFFFF', | ||
}, | ||
}} | ||
config={{ | ||
toImageButtonOptions: { | ||
format: 'svg', | ||
filename: 'validationErrorsWithResolution', | ||
height: 1000, | ||
width: 1500, | ||
scale: 1, | ||
}, | ||
}} | ||
/> | ||
)} | ||
</> | ||
); | ||
} |
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