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63 lines
1.7 KiB
HTML
63 lines
1.7 KiB
HTML
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<script>
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async function ToClipboard(text) {
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try {
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await navigator.clipboard.writeText(text);
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console.log('Text copied to clipboard successfully!');
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} catch (err) {
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console.error('Failed to copy text:', err);
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}
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}
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var copy = function(){
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_i = $('<i class="fa-solid fa-check"></i>')
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_button = $('.generated-code .copy')
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$(_button).empty()
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$(_button).append(_i)
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var _code = $('.generated-code code').text()
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ToClipboard(_code)
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}
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$(document).ready(()=>{
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var _element = $('.generated-code code')[0]
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_html = $('.generated-code code').html()
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_html = _html.replace(/:label/g,sessionStorage._label)
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if (sessionStorage._query.startsWith('{')){
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pass
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}else{
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_html = _html.replace(/:_query/,`{'sql':"""${sessionStorage._query.replace(/\n/g,' ')}"""}`)
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}
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$('.generated-code code').html(_html)
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Prism.highlightElement(_element)
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$('.generated-code .copy').on('click',copy)
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})
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</script>
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<div style="width:650px;">
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<div class="generated-code border-round" style="padding:8px; background-color: #f3f3f3;">
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<span class="active copy" style="float:right; padding:4px" >
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<i class="fa-solid fa-copy" ></i>
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</span>
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<pre style="margin:4px; padding:4px;">
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<code class="code language-python" style="line-height:1.5;text-wrap: wrap;">
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"""
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install data-transport
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pip install data-transport[all]@git+https://github.com/lnyemba/data-transport
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"""
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import transport
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import pandas as pd
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# data-transport instance to read data
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#
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reader = transport.get.reader(label=':label')
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_args = :_query
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# reading the query from ":label" into a pandas data-frame
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_df = reader.read(**_args)
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print(_df.head())
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</code>
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</pre>
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</div>
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</div> |