diff --git a/.gitattributes b/.gitattributes index 5682b9150a36e2..823e3e975a23a8 100644 --- a/.gitattributes +++ b/.gitattributes @@ -103,3 +103,4 @@ Python/stdlib_module_names.h generated Tools/peg_generator/pegen/grammar_parser.py generated aclocal.m4 generated configure generated +*.min.js generated diff --git a/Doc/license.rst b/Doc/license.rst index 480414bb84c4f2..269d14cefbcefa 100644 --- a/Doc/license.rst +++ b/Doc/license.rst @@ -1169,3 +1169,33 @@ contributors. The pyzstd code is distributed under the 3-Clause BSD License:: CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +Profiling module +---------------- + +The :mod:`!profiling` module includes vendored third-party libraries in +:file:`Lib/profiling/sampling/_vendor/` with the following licenses: + +**d3-flamegraph** + +The d3-flamegraph library is distributed under the Apache License, Version 2.0. +See the OpenSSL section above for the full text of the Apache License Version 2.0. + +**d3.js** + +The d3.js library contains the following notice:: + + Copyright 2010-2021 Mike Bostock + + Permission to use, copy, modify, and/or distribute this software for any purpose + with or without fee is hereby granted, provided that the above copyright notice + and this permission notice appear in all copies. + + THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH + REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND + FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, + INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS + OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER + TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF + THIS SOFTWARE. diff --git a/Lib/profiling/sampling/_assets/python-logo-only.png b/Lib/profiling/sampling/_assets/python-logo-only.png new file mode 100644 index 00000000000000..20f36f4d452149 Binary files /dev/null and b/Lib/profiling/sampling/_assets/python-logo-only.png differ diff --git a/Lib/profiling/sampling/_vendor/d3-flame-graph/4.1.3/d3-flamegraph-tooltip.min.js b/Lib/profiling/sampling/_vendor/d3-flame-graph/4.1.3/d3-flamegraph-tooltip.min.js new file mode 100644 index 00000000000000..7468437093bb99 --- /dev/null +++ b/Lib/profiling/sampling/_vendor/d3-flame-graph/4.1.3/d3-flamegraph-tooltip.min.js @@ -0,0 +1 @@ +!function(t,n){"object"==typeof exports&&"object"==typeof 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e=wm(n/Nx),r=e/2,i=e*Ex,o=r,a=e*Ex+e,u=-o,c=a;t.moveTo(r,i),t.lineTo(o,a),t.lineTo(u,c),t.lineTo(Ax*r-Sx*i,Sx*r+Ax*i),t.lineTo(Ax*o-Sx*a,Sx*o+Ax*a),t.lineTo(Ax*u-Sx*c,Sx*u+Ax*c),t.lineTo(Ax*r+Sx*i,Ax*i-Sx*r),t.lineTo(Ax*o+Sx*a,Ax*a-Sx*o),t.lineTo(Ax*u+Sx*c,Ax*c-Sx*u),t.closePath()}},Cx={draw(t,n){const e=.6189*wm(n-mm(n/6,1.7));t.moveTo(-e,-e),t.lineTo(e,e),t.moveTo(-e,e),t.lineTo(e,-e)}};const Px=[cx,fx,hx,gx,mx,wx,kx],zx=[cx,px,Cx,Tx,ux,yx,dx];function $x(){}function Dx(t,n,e){t._context.bezierCurveTo((2*t._x0+t._x1)/3,(2*t._y0+t._y1)/3,(t._x0+2*t._x1)/3,(t._y0+2*t._y1)/3,(t._x0+4*t._x1+n)/6,(t._y0+4*t._y1+e)/6)}function Rx(t){this._context=t}function Fx(t){this._context=t}function qx(t){this._context=t}function Ux(t,n){this._basis=new Rx(t),this._beta=n}Rx.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){switch(this._point){case 3:Dx(this,this._x1,this._y1);case 2:this._context.lineTo(this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,n):this._context.moveTo(t,n);break;case 1:this._point=2;break;case 2:this._point=3,this._context.lineTo((5*this._x0+this._x1)/6,(5*this._y0+this._y1)/6);default:Dx(this,t,n)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=n}},Fx.prototype={areaStart:$x,areaEnd:$x,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._y0=this._y1=this._y2=this._y3=this._y4=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x2,this._y2),this._context.closePath();break;case 2:this._context.moveTo((this._x2+2*this._x3)/3,(this._y2+2*this._y3)/3),this._context.lineTo((this._x3+2*this._x2)/3,(this._y3+2*this._y2)/3),this._context.closePath();break;case 3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._x2=t,this._y2=n;break;case 1:this._point=2,this._x3=t,this._y3=n;break;case 2:this._point=3,this._x4=t,this._y4=n,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+n)/6);break;default:Dx(this,t,n)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=n}},qx.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var e=(this._x0+4*this._x1+t)/6,r=(this._y0+4*this._y1+n)/6;this._line?this._context.lineTo(e,r):this._context.moveTo(e,r);break;case 3:this._point=4;default:Dx(this,t,n)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=n}},Ux.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,n=this._y,e=t.length-1;if(e>0)for(var r,i=t[0],o=n[0],a=t[e]-i,u=n[e]-o,c=-1;++c<=e;)r=c/e,this._basis.point(this._beta*t[c]+(1-this._beta)*(i+r*a),this._beta*n[c]+(1-this._beta)*(o+r*u));this._x=this._y=null,this._basis.lineEnd()},point:function(t,n){this._x.push(+t),this._y.push(+n)}};var Ix=function t(n){function e(t){return 1===n?new Rx(t):new Ux(t,n)}return e.beta=function(n){return t(+n)},e}(.85);function Ox(t,n,e){t._context.bezierCurveTo(t._x1+t._k*(t._x2-t._x0),t._y1+t._k*(t._y2-t._y0),t._x2+t._k*(t._x1-n),t._y2+t._k*(t._y1-e),t._x2,t._y2)}function Bx(t,n){this._context=t,this._k=(1-n)/6}Bx.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:Ox(this,this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,n):this._context.moveTo(t,n);break;case 1:this._point=2,this._x1=t,this._y1=n;break;case 2:this._point=3;default:Ox(this,t,n)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Yx=function t(n){function e(t){return new Bx(t,n)}return e.tension=function(n){return t(+n)},e}(0);function Lx(t,n){this._context=t,this._k=(1-n)/6}Lx.prototype={areaStart:$x,areaEnd:$x,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._x3=t,this._y3=n;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=n);break;case 2:this._point=3,this._x5=t,this._y5=n;break;default:Ox(this,t,n)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var jx=function t(n){function e(t){return new Lx(t,n)}return e.tension=function(n){return t(+n)},e}(0);function Hx(t,n){this._context=t,this._k=(1-n)/6}Hx.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:Ox(this,t,n)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Xx=function t(n){function e(t){return new Hx(t,n)}return e.tension=function(n){return t(+n)},e}(0);function Gx(t,n,e){var r=t._x1,i=t._y1,o=t._x2,a=t._y2;if(t._l01_a>Mm){var u=2*t._l01_2a+3*t._l01_a*t._l12_a+t._l12_2a,c=3*t._l01_a*(t._l01_a+t._l12_a);r=(r*u-t._x0*t._l12_2a+t._x2*t._l01_2a)/c,i=(i*u-t._y0*t._l12_2a+t._y2*t._l01_2a)/c}if(t._l23_a>Mm){var f=2*t._l23_2a+3*t._l23_a*t._l12_a+t._l12_2a,s=3*t._l23_a*(t._l23_a+t._l12_a);o=(o*f+t._x1*t._l23_2a-n*t._l12_2a)/s,a=(a*f+t._y1*t._l23_2a-e*t._l12_2a)/s}t._context.bezierCurveTo(r,i,o,a,t._x2,t._y2)}function Vx(t,n){this._context=t,this._alpha=n}Vx.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){if(t=+t,n=+n,this._point){var 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1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,n){if(t=+t,n=+n,this._point){var e=this._x2-t,r=this._y2-n;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(e*e+r*r,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=n;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=n);break;case 2:this._point=3,this._x5=t,this._y5=n;break;default:Gx(this,t,n)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Kx=function t(n){function e(t){return n?new Zx(t,n):new Lx(t,0)}return e.alpha=function(n){return t(+n)},e}(.5);function Qx(t,n){this._context=t,this._alpha=n}Qx.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){if(t=+t,n=+n,this._point){var e=this._x2-t,r=this._y2-n;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(e*e+r*r,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:Gx(this,t,n)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Jx=function 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gw(t){var n=t.map(yw);return hw(t).sort((function(t,e){return n[t]-n[e]}))}function yw(t){for(var n,e=-1,r=0,i=t.length,o=-1/0;++eo&&(o=n,r=e);return r}function vw(t){var n=t.map(_w);return hw(t).sort((function(t,e){return n[t]-n[e]}))}function _w(t){for(var n,e=0,r=-1,i=t.length;++r=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,n):this._context.moveTo(t,n);break;case 1:this._point=2;default:if(this._t<=0)this._context.lineTo(this._x,n),this._context.lineTo(t,n);else{var e=this._x*(1-this._t)+t*this._t;this._context.lineTo(e,this._y),this._context.lineTo(e,n)}}this._x=t,this._y=n}};var bw=t=>()=>t;function 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M(t,n){this.that=t,this.args=n,this.active=0,this.sourceEvent=null,this.extent=i.apply(t,n),this.taps=0}function T(t,...n){if(r.apply(this,arguments)){var e=w(this,n).event(t),i=this.__zoom,u=Math.max(c[0],Math.min(c[1],i.k*Math.pow(2,a.apply(this,arguments)))),s=ne(t);if(e.wheel)e.mouse[0][0]===s[0]&&e.mouse[0][1]===s[1]||(e.mouse[1]=i.invert(e.mouse[0]=s)),clearTimeout(e.wheel);else{if(i.k===u)return;e.mouse=[s,i.invert(s)],Gi(this),e.start()}Aw(t),e.wheel=setTimeout((function(){e.wheel=null,e.end()}),p),e.zoom("mouse",o(b(_(i,u),e.mouse[0],e.mouse[1]),e.extent,f))}}function A(t,...n){if(!e&&r.apply(this,arguments)){var i=t.currentTarget,a=w(this,n,!0).event(t),u=Zn(t.view).on("mousemove.zoom",(function(t){if(Aw(t),!a.moved){var n=t.clientX-s,e=t.clientY-l;a.moved=n*n+e*e>g}a.event(t).zoom("mouse",o(b(a.that.__zoom,a.mouse[0]=ne(t,i),a.mouse[1]),a.extent,f))}),!0).on("mouseup.zoom",(function(t){u.on("mousemove.zoom mouseup.zoom",null),ue(t.view,a.moved),Aw(t),a.event(t).end()}),!0),c=ne(t,i),s=t.clientX,l=t.clientY;ae(t.view),Tw(t),a.mouse=[c,this.__zoom.invert(c)],Gi(this),a.start()}}function S(t,...n){if(r.apply(this,arguments)){var e=this.__zoom,a=ne(t.changedTouches?t.changedTouches[0]:t,this),u=e.invert(a),c=e.k*(t.shiftKey?.5:2),l=o(b(_(e,c),a,u),i.apply(this,n),f);Aw(t),s>0?Zn(this).transition().duration(s).call(x,l,a,t):Zn(this).call(v.transform,l,a,t)}}function E(e,...i){if(r.apply(this,arguments)){var o,a,u,c,f=e.touches,s=f.length,l=w(this,i,e.changedTouches.length===s).event(e);for(Tw(e),a=0;aError: d3-flame-graph library failed to load'; + throw new Error("d3-flame-graph library failed to load"); + } +} + +function createPythonTooltip(data) { + const pythonTooltip = flamegraph.tooltip.defaultFlamegraphTooltip(); + pythonTooltip.show = function (d, element) { + if (!this._tooltip) { + this._tooltip = d3 + .select("body") + .append("div") + .attr("class", "python-tooltip") + .style("position", "absolute") + .style("padding", "20px") + .style("background", "white") + .style("color", "#2e3338") + .style("border-radius", "8px") + .style("font-size", "14px") + .style("border", "1px solid #e9ecef") + .style("box-shadow", "0 8px 30px rgba(0, 0, 0, 0.15)") + .style("z-index", "1000") + .style("pointer-events", "none") + .style("font-weight", "400") + .style("line-height", "1.5") + .style("max-width", "500px") + .style("font-family", "'Source Sans Pro', sans-serif") + .style("opacity", 0); + } + + const timeMs = (d.data.value / 1000).toFixed(2); + const percentage = ((d.data.value / data.value) * 100).toFixed(2); + const calls = d.data.calls || 0; + const childCount = d.children ? d.children.length : 0; + const source = d.data.source; + + // Create source code section if available + let sourceSection = ""; + if (source && Array.isArray(source) && source.length > 0) { + const sourceLines = source + .map( + (line) => + `
${line + .replace(/&/g, "&") + .replace(//g, ">")}
`, + ) + .join(""); + + sourceSection = ` +
+
+ Source Code: +
+
+ ${sourceLines} +
+
`; + } else if (source) { + // Show debug info if source exists but isn't an array + sourceSection = ` +
+
+ [Debug] - Source data type: ${typeof source} +
+
+ ${JSON.stringify(source, null, 2)} +
+
`; + } + + const tooltipHTML = ` +
+
+ ${d.data.funcname || d.data.name} +
+
+ ${d.data.filename || ""}${d.data.lineno ? ":" + d.data.lineno : ""} +
+
+ Execution Time: + ${timeMs} ms + + Percentage: + ${percentage}% + + ${calls > 0 ? ` + Function Calls: + ${calls.toLocaleString()} + ` : ''} + + ${childCount > 0 ? ` + Child Functions: + ${childCount} + ` : ''} +
+ ${sourceSection} +
+ ${childCount > 0 ? + "Click to focus on this function" : + "Leaf function - no children"} +
+
+ `; + + // Get mouse position + const event = d3.event || window.event; + const mouseX = event.pageX || event.clientX; + const mouseY = event.pageY || event.clientY; + + // Calculate tooltip dimensions (default to 320px width if not rendered yet) + let tooltipWidth = 320; + let tooltipHeight = 200; + if (this._tooltip && this._tooltip.node()) { + const node = this._tooltip + .style("opacity", 0) + .style("display", "block") + .node(); + tooltipWidth = node.offsetWidth || 320; + tooltipHeight = node.offsetHeight || 200; + this._tooltip.style("display", null); + } + + // Calculate horizontal position: if overflow, show to the left of cursor + const padding = 10; + const rightEdge = mouseX + padding + tooltipWidth; + const viewportWidth = window.innerWidth; + let left; + if (rightEdge > viewportWidth) { + left = mouseX - tooltipWidth - padding; + if (left < 0) left = padding; // prevent off left edge + } else { + left = mouseX + padding; + } + + // Calculate vertical position: if overflow, show above cursor + const bottomEdge = mouseY + padding + tooltipHeight; + const viewportHeight = window.innerHeight; + let top; + if (bottomEdge > viewportHeight) { + top = mouseY - tooltipHeight - padding; + if (top < 0) top = padding; // prevent off top edge + } else { + top = mouseY + padding; + } + + this._tooltip + .html(tooltipHTML) + .style("left", left + "px") + .style("top", top + "px") + .transition() + .duration(200) + .style("opacity", 1); + }; + + // Override the hide method + pythonTooltip.hide = function () { + if (this._tooltip) { + this._tooltip.transition().duration(200).style("opacity", 0); + } + }; + return pythonTooltip; +} + +function createFlamegraph(tooltip, rootValue) { + let chart = flamegraph() + .width(window.innerWidth - 80) + .cellHeight(20) + .transitionDuration(300) + .minFrameSize(1) + .tooltip(tooltip) + .inverted(true) + .setColorMapper(function (d) { + const percentage = d.data.value / rootValue; + let colorIndex; + if (percentage >= 0.6) colorIndex = 7; + else if (percentage >= 0.35) colorIndex = 6; + else if (percentage >= 0.18) colorIndex = 5; + else if (percentage >= 0.12) colorIndex = 4; + else if (percentage >= 0.06) colorIndex = 3; + else if (percentage >= 0.03) colorIndex = 2; + else if (percentage >= 0.01) colorIndex = 1; + else colorIndex = 0; // <1% + return pythonColors[colorIndex]; + }); + return chart; +} + +function renderFlamegraph(chart, data) { + d3.select("#chart").datum(data).call(chart); + window.flamegraphChart = chart; // for controls + window.flamegraphData = data; // for resize/search + populateStats(data); +} + +function attachPanelControls() { + const infoBtn = document.getElementById("show-info-btn"); + const infoPanel = document.getElementById("info-panel"); + const closeBtn = document.getElementById("close-info-btn"); + if (infoBtn && infoPanel) { + infoBtn.addEventListener("click", function () { + const isOpen = infoPanel.style.display === "block"; + infoPanel.style.display = isOpen ? "none" : "block"; + }); + } + if (closeBtn && infoPanel) { + closeBtn.addEventListener("click", function () { + infoPanel.style.display = "none"; + }); + } +} + +function updateSearchHighlight(searchTerm, searchInput) { + d3.selectAll("#chart rect") + .style("stroke", null) + .style("stroke-width", null) + .style("opacity", null); + if (searchTerm && searchTerm.length > 0) { + d3.selectAll("#chart rect").style("opacity", 0.3); + let matchCount = 0; + d3.selectAll("#chart rect").each(function (d) { + if (d && d.data) { + const name = d.data.name || ""; + const funcname = d.data.funcname || ""; + const filename = d.data.filename || ""; + const term = searchTerm.toLowerCase(); + const matches = + name.toLowerCase().includes(term) || + funcname.toLowerCase().includes(term) || + filename.toLowerCase().includes(term); + if (matches) { + matchCount++; + d3.select(this) + .style("opacity", 1) + .style("stroke", "#ff6b35") + .style("stroke-width", "2px") + .style("stroke-dasharray", "3,3"); + } + } + }); + if (searchInput) { + if (matchCount > 0) { + searchInput.style.borderColor = "rgba(40, 167, 69, 0.8)"; + searchInput.style.boxShadow = "0 6px 20px rgba(40, 167, 69, 0.2)"; + } else { + searchInput.style.borderColor = "rgba(220, 53, 69, 0.8)"; + searchInput.style.boxShadow = "0 6px 20px rgba(220, 53, 69, 0.2)"; + } + } + } else if (searchInput) { + searchInput.style.borderColor = "rgba(255, 255, 255, 0.2)"; + searchInput.style.boxShadow = "0 4px 12px rgba(0, 0, 0, 0.1)"; + } +} + +function initSearchHandlers() { + const searchInput = document.getElementById("search-input"); + if (!searchInput) return; + let searchTimeout; + function performSearch() { + const term = searchInput.value.trim(); + updateSearchHighlight(term, searchInput); + } + searchInput.addEventListener("input", function () { + clearTimeout(searchTimeout); + searchTimeout = setTimeout(performSearch, 150); + }); + window.performSearch = performSearch; +} + +function handleResize(chart, data) { + window.addEventListener("resize", function () { + if (chart && data) { + const newWidth = window.innerWidth - 80; + chart.width(newWidth); + d3.select("#chart").datum(data).call(chart); + } + }); +} + +function initFlamegraph() { + ensureLibraryLoaded(); + const tooltip = createPythonTooltip(EMBEDDED_DATA); + const chart = createFlamegraph(tooltip, EMBEDDED_DATA.value); + renderFlamegraph(chart, EMBEDDED_DATA); + attachPanelControls(); + initSearchHandlers(); + handleResize(chart, EMBEDDED_DATA); +} + +if (document.readyState === "loading") { + document.addEventListener("DOMContentLoaded", initFlamegraph); +} else { + initFlamegraph(); +} + +function populateStats(data) { + const totalSamples = data.value || 0; + + // Collect all functions with their metrics, aggregated by function name + const functionMap = new Map(); + + function collectFunctions(node) { + if (node.filename && node.funcname) { + // Calculate direct samples (this node's value minus children's values) + let childrenValue = 0; + if (node.children) { + childrenValue = node.children.reduce((sum, child) => sum + child.value, 0); + } + const directSamples = Math.max(0, node.value - childrenValue); + + // Use file:line:funcname as key to ensure uniqueness + const funcKey = `${node.filename}:${node.lineno || '?'}:${node.funcname}`; + + if (functionMap.has(funcKey)) { + const existing = functionMap.get(funcKey); + existing.directSamples += directSamples; + existing.directPercent = (existing.directSamples / totalSamples) * 100; + // Keep the most representative file/line (the one with more samples) + if (directSamples > existing.maxSingleSamples) { + existing.filename = node.filename; + existing.lineno = node.lineno || '?'; + existing.maxSingleSamples = directSamples; + } + } else { + functionMap.set(funcKey, { + filename: node.filename, + lineno: node.lineno || '?', + funcname: node.funcname, + directSamples, + directPercent: (directSamples / totalSamples) * 100, + maxSingleSamples: directSamples + }); + } + } + + if (node.children) { + node.children.forEach(child => collectFunctions(child)); + } + } + + collectFunctions(data); + + // Convert map to array and get top 3 hotspots + const hotSpots = Array.from(functionMap.values()) + .filter(f => f.directPercent > 0.5) // At least 0.5% to be significant + .sort((a, b) => b.directPercent - a.directPercent) + .slice(0, 3); + + // Populate the 3 cards + for (let i = 0; i < 3; i++) { + const num = i + 1; + if (i < hotSpots.length) { + const hotspot = hotSpots[i]; + const basename = hotspot.filename.split('/').pop(); + let funcDisplay = hotspot.funcname; + if (funcDisplay.length > 35) { + funcDisplay = funcDisplay.substring(0, 32) + '...'; + } + + document.getElementById(`hotspot-file-${num}`).textContent = `${basename}:${hotspot.lineno}`; + document.getElementById(`hotspot-func-${num}`).textContent = funcDisplay; + document.getElementById(`hotspot-detail-${num}`).textContent = `${hotspot.directPercent.toFixed(1)}% samples (${hotspot.directSamples.toLocaleString()})`; + } else { + document.getElementById(`hotspot-file-${num}`).textContent = '--'; + document.getElementById(`hotspot-func-${num}`).textContent = '--'; + document.getElementById(`hotspot-detail-${num}`).textContent = '--'; + } + } +} + +// Control functions +function resetZoom() { + if (window.flamegraphChart) { + window.flamegraphChart.resetZoom(); + } +} + +function exportSVG() { + const svgElement = document.querySelector("#chart svg"); + if (svgElement) { + const serializer = new XMLSerializer(); + const svgString = serializer.serializeToString(svgElement); + const blob = new Blob([svgString], { type: "image/svg+xml" }); + const url = URL.createObjectURL(blob); + const a = document.createElement("a"); + a.href = url; + a.download = "python-performance-flamegraph.svg"; + a.click(); + URL.revokeObjectURL(url); + } +} + +function toggleLegend() { + const legendPanel = document.getElementById("legend-panel"); + const isHidden = + legendPanel.style.display === "none" || legendPanel.style.display === ""; + legendPanel.style.display = isHidden ? "block" : "none"; +} + +function clearSearch() { + const searchInput = document.getElementById("search-input"); + if (searchInput) { + searchInput.value = ""; + if (window.flamegraphChart) { + window.flamegraphChart.clear(); + } + } +} + diff --git a/Lib/profiling/sampling/flamegraph_template.html b/Lib/profiling/sampling/flamegraph_template.html new file mode 100644 index 00000000000000..358791e80ce0cf --- /dev/null +++ b/Lib/profiling/sampling/flamegraph_template.html @@ -0,0 +1,147 @@ + + + + + + Python Performance Flamegraph + + + + + + + +
+
+ +
+

Tachyon Profiler Performance Flamegraph

+
+ Interactive visualization of function call performance +
+
+
+ +
+
+
+ +
+
+
+
๐Ÿฅ‡
+
+
#1 Hot Spot
+
--
+
--
+
--
+
+
+
+
๐Ÿฅˆ
+
+
#2 Hot Spot
+
--
+
--
+
--
+
+
+
+
๐Ÿฅ‰
+
+
#3 Hot Spot
+
--
+
--
+
--
+
+
+
+
+ +
+
+ + + +
+
+ + + +
+ +

Navigation Guide

+

Click: Zoom into function

+

Hover: Show detailed information

+

Width: Time spent in function

+

Height: Call stack depth

+

Color: Performance intensity

+
+ +
+

๐Ÿ”ฅ Performance Heat Map

+
+
+
+
Hottest Functions (โ‰ฅ60%)
+
Highest performance impact
+
+
+
+
+
+
Very Hot Functions (35-60%)
+
High performance impact
+
+
+
+
+
+
Hot Functions (18-35%)
+
Notable performance cost
+
+
+
+
+
+
Warm Functions (12-18%)
+
Moderate impact
+
+
+
+
+
+
Medium Functions (6-12%)
+
Some performance impact
+
+
+
+
+
+
Cool Functions (3-6%)
+
Low performance impact
+
+
+
+
+
+
Cold Functions (1-3%)
+
Minimal performance impact
+
+
+
+
+
+
Coldest Functions (<1%)
+
Very low performance impact
+
+
+
+ +
+
+
+ + + + diff --git a/Lib/profiling/sampling/sample.py b/Lib/profiling/sampling/sample.py index 929a92e1dda3b2..8a65f312234730 100644 --- a/Lib/profiling/sampling/sample.py +++ b/Lib/profiling/sampling/sample.py @@ -12,17 +12,20 @@ from _colorize import ANSIColors from .pstats_collector import PstatsCollector -from .stack_collector import CollapsedStackCollector +from .stack_collector import CollapsedStackCollector, FlamegraphCollector _FREE_THREADED_BUILD = sysconfig.get_config_var("Py_GIL_DISABLED") is not None -_MAX_STARTUP_ATTEMPTS = 5 -_STARTUP_RETRY_DELAY_SECONDS = 0.1 _HELP_DESCRIPTION = """Sample a process's stack frames and generate profiling data. Supports the following target modes: - -p PID: Profile an existing process by PID - -m MODULE [ARGS...]: Profile a module as python -m module ... - filename [ARGS...]: Profile the specified script by running it in a subprocess +Supports the following output formats: + - --pstats: Detailed profiling statistics with sorting options + - --collapsed: Stack traces for generating flamegraphs + - --flamegraph Interactive HTML flamegraph visualization (requires web browser) + Examples: # Profile process 1234 for 10 seconds with default settings python -m profiling.sampling -p 1234 @@ -39,6 +42,9 @@ # Generate collapsed stacks for flamegraph python -m profiling.sampling --collapsed -p 1234 + # Generate a HTML flamegraph + python -m profiling.sampling --flamegraph -p 1234 + # Profile all threads, sort by total time python -m profiling.sampling -a --sort-tottime -p 1234 @@ -185,9 +191,16 @@ def sample(self, collector, duration_sec=10): if self.realtime_stats and len(self.sample_intervals) > 0: print() # Add newline after real-time stats + sample_rate = num_samples / running_time + error_rate = (errors / num_samples) * 100 if num_samples > 0 else 0 + print(f"Captured {num_samples} samples in {running_time:.2f} seconds") - print(f"Sample rate: {num_samples / running_time:.2f} samples/sec") - print(f"Error rate: {(errors / num_samples) * 100:.2f}%") + print(f"Sample rate: {sample_rate:.2f} samples/sec") + print(f"Error rate: {error_rate:.2f}%") + + # Pass stats to flamegraph collector if it's the right type + if hasattr(collector, 'set_stats'): + collector.set_stats(self.sample_interval_usec, running_time, sample_rate, error_rate) expected_samples = int(duration_sec / sample_interval_sec) if num_samples < expected_samples: @@ -596,6 +609,9 @@ def sample( case "collapsed": collector = CollapsedStackCollector() filename = filename or f"collapsed.{pid}.txt" + case "flamegraph": + collector = FlamegraphCollector() + filename = filename or f"flamegraph.{pid}.html" case _: raise ValueError(f"Invalid output format: {output_format}") @@ -728,12 +744,20 @@ def main(): dest="format", help="Generate collapsed stack traces for flamegraphs", ) + output_format.add_argument( + "--flamegraph", + action="store_const", + const="flamegraph", + dest="format", + help="Generate HTML flamegraph visualization", + ) output_group.add_argument( "-o", "--outfile", help="Save output to a file (if omitted, prints to stdout for pstats, " - "or saves to collapsed..txt for collapsed format)", + "or saves to collapsed..txt or flamegraph..html for the " + "respective output formats)" ) # pstats-specific options diff --git a/Lib/profiling/sampling/stack_collector.py b/Lib/profiling/sampling/stack_collector.py index 270b6871980fb8..9df8111c451de8 100644 --- a/Lib/profiling/sampling/stack_collector.py +++ b/Lib/profiling/sampling/stack_collector.py @@ -1,4 +1,9 @@ +import base64 import collections +import functools +import importlib.resources +import json +import linecache import os from .collector import Collector @@ -41,3 +46,229 @@ def export(self, filename): for stack, count in stack_counter.items(): f.write(f"{stack} {count}\n") print(f"Collapsed stack output written to {filename}") + + +class FlamegraphCollector(StackTraceCollector): + def __init__(self): + super().__init__() + self.stats = {} + + def set_stats(self, sample_interval_usec, duration_sec, sample_rate, error_rate=None): + """Set profiling statistics to include in flamegraph data.""" + self.stats = { + "sample_interval_usec": sample_interval_usec, + "duration_sec": duration_sec, + "sample_rate": sample_rate, + "error_rate": error_rate + } + + def export(self, filename): + flamegraph_data = self._convert_to_flamegraph_format() + + # Debug output + num_functions = len(flamegraph_data.get("children", [])) + total_time = flamegraph_data.get("value", 0) + print( + f"Flamegraph data: {num_functions} root functions, total samples: {total_time}" + ) + + if num_functions == 0: + print( + "Warning: No functions found in profiling data. Check if sampling captured any data." + ) + return + + html_content = self._create_flamegraph_html(flamegraph_data) + + with open(filename, "w", encoding="utf-8") as f: + f.write(html_content) + + print(f"Flamegraph saved to: {filename}") + + @functools.lru_cache(maxsize=None) + def _format_function_name(self, func): + filename, lineno, funcname = func + + if len(filename) > 50: + parts = filename.split("/") + if len(parts) > 2: + filename = f".../{'/'.join(parts[-2:])}" + + return f"{funcname} ({filename}:{lineno})" + + def _convert_to_flamegraph_format(self): + """Convert call trees to d3-flamegraph format with optimized hierarchy building""" + if not self.call_trees: + return {"name": "No Data", "value": 0, "children": []} + + unique_functions = set() + for call_tree in self.call_trees: + unique_functions.update(call_tree) + + func_to_name = { + func: self._format_function_name(func) for func in unique_functions + } + + root = {"name": "root", "children": {}, "samples": 0} + + for call_tree in self.call_trees: + current_node = root + current_node["samples"] += 1 + + for func in call_tree: + func_name = func_to_name[func] # Use pre-computed name + + if func_name not in current_node["children"]: + current_node["children"][func_name] = { + "name": func_name, + "func": func, + "children": {}, + "samples": 0, + "filename": func[0], + "lineno": func[1], + "funcname": func[2], + } + + current_node = current_node["children"][func_name] + current_node["samples"] += 1 + + def convert_node(node, min_samples=1): + if node["samples"] < min_samples: + return None + + source_code = None + if "func" in node: + source_code = self._get_source_lines(node["func"]) + + result = { + "name": node["name"], + "value": node["samples"], + "children": [], + } + + if "filename" in node: + result.update( + { + "filename": node["filename"], + "lineno": node["lineno"], + "funcname": node["funcname"], + } + ) + + if source_code: + result["source"] = source_code + + # Recursively convert children + child_nodes = [] + for child_name, child_node in node["children"].items(): + child_result = convert_node(child_node, min_samples) + if child_result: + child_nodes.append(child_result) + + # Sort children by sample count (descending) + child_nodes.sort(key=lambda x: x["value"], reverse=True) + result["children"] = child_nodes + + return result + + # Filter out very small functions (less than 0.1% of total samples) + total_samples = len(self.call_trees) + min_samples = max(1, int(total_samples * 0.001)) + + converted_root = convert_node(root, min_samples) + + if not converted_root or not converted_root["children"]: + return {"name": "No significant data", "value": 0, "children": []} + + # If we only have one root child, make it the root to avoid redundant level + if len(converted_root["children"]) == 1: + main_child = converted_root["children"][0] + main_child["name"] = f"Program Root: {main_child['name']}" + main_child["stats"] = self.stats + return main_child + + converted_root["name"] = "Program Root" + converted_root["stats"] = self.stats + return converted_root + + def _get_source_lines(self, func): + filename, lineno, funcname = func + + try: + # Get several lines around the function definition + lines = [] + start_line = max(1, lineno - 2) + end_line = lineno + 3 + + for line_num in range(start_line, end_line): + line = linecache.getline(filename, line_num) + if line.strip(): + marker = "โ†’ " if line_num == lineno else " " + lines.append(f"{marker}{line_num}: {line.rstrip()}") + + return lines if lines else None + + except Exception: + # If we can't get source code, return None + return None + + def _create_flamegraph_html(self, data): + data_json = json.dumps(data) + + template_dir = importlib.resources.files(__package__) + vendor_dir = template_dir / "_vendor" + assets_dir = template_dir / "_assets" + + d3_path = vendor_dir / "d3" / "7.8.5" / "d3.min.js" + d3_flame_graph_dir = vendor_dir / "d3-flame-graph" / "4.1.3" + fg_css_path = d3_flame_graph_dir / "d3-flamegraph.css" + fg_js_path = d3_flame_graph_dir / "d3-flamegraph.min.js" + fg_tooltip_js_path = d3_flame_graph_dir / "d3-flamegraph-tooltip.min.js" + + html_template = (template_dir / "flamegraph_template.html").read_text(encoding="utf-8") + css_content = (template_dir / "flamegraph.css").read_text(encoding="utf-8") + js_content = (template_dir / "flamegraph.js").read_text(encoding="utf-8") + + # Inline first-party CSS/JS + html_template = html_template.replace( + "", f"" + ) + html_template = html_template.replace( + "", f"" + ) + + png_path = assets_dir / "python-logo-only.png" + b64_logo = base64.b64encode(png_path.read_bytes()).decode("ascii") + + # Let CSS control size; keep markup simple + logo_html = f'Python logo' + html_template = html_template.replace("", logo_html) + + d3_js = d3_path.read_text(encoding="utf-8") + fg_css = fg_css_path.read_text(encoding="utf-8") + fg_js = fg_js_path.read_text(encoding="utf-8") + fg_tooltip_js = fg_tooltip_js_path.read_text(encoding="utf-8") + + html_template = html_template.replace( + "", + f"", + ) + html_template = html_template.replace( + "", + f"", + ) + html_template = html_template.replace( + "", + f"", + ) + html_template = html_template.replace( + "", + f"", + ) + + # Replace the placeholder with actual data + html_content = html_template.replace( + "{{FLAMEGRAPH_DATA}}", data_json + ) + + return html_content diff --git a/Lib/test/test_profiling/test_sampling_profiler.py b/Lib/test/test_profiling/test_sampling_profiler.py index 1f369c50094ca8..84339d46d02f73 100644 --- a/Lib/test/test_profiling/test_sampling_profiler.py +++ b/Lib/test/test_profiling/test_sampling_profiler.py @@ -15,6 +15,7 @@ from profiling.sampling.pstats_collector import PstatsCollector from profiling.sampling.stack_collector import ( CollapsedStackCollector, + FlamegraphCollector, ) from test.support.os_helper import unlink @@ -436,6 +437,88 @@ def test_collapsed_stack_collector_export(self): self.assertIn(stack1_expected, lines) self.assertIn(stack2_expected, lines) + def test_flamegraph_collector_basic(self): + """Test basic FlamegraphCollector functionality.""" + collector = FlamegraphCollector() + + # Test empty state (inherits from StackTraceCollector) + self.assertEqual(len(collector.call_trees), 0) + self.assertEqual(len(collector.function_samples), 0) + + # Test collecting sample data + test_frames = [ + MockInterpreterInfo( + 0, + [MockThreadInfo(1, [("file.py", 10, "func1"), ("file.py", 20, "func2")])], + ) + ] + collector.collect(test_frames) + + # Should store call tree (reversed) + self.assertEqual(len(collector.call_trees), 1) + expected_tree = [("file.py", 20, "func2"), ("file.py", 10, "func1")] + self.assertEqual(collector.call_trees[0], expected_tree) + + # Should count function samples + self.assertEqual( + collector.function_samples[("file.py", 10, "func1")], 1 + ) + self.assertEqual( + collector.function_samples[("file.py", 20, "func2")], 1 + ) + + def test_flamegraph_collector_export(self): + """Test flamegraph HTML export functionality.""" + flamegraph_out = tempfile.NamedTemporaryFile( + suffix=".html", delete=False + ) + self.addCleanup(close_and_unlink, flamegraph_out) + + collector = FlamegraphCollector() + + # Create some test data (use Interpreter/Thread objects like runtime) + test_frames1 = [ + MockInterpreterInfo( + 0, + [MockThreadInfo(1, [("file.py", 10, "func1"), ("file.py", 20, "func2")])], + ) + ] + test_frames2 = [ + MockInterpreterInfo( + 0, + [MockThreadInfo(1, [("file.py", 10, "func1"), ("file.py", 20, "func2")])], + ) + ] # Same stack + test_frames3 = [ + MockInterpreterInfo(0, [MockThreadInfo(1, [("other.py", 5, "other_func")])]) + ] + + collector.collect(test_frames1) + collector.collect(test_frames2) + collector.collect(test_frames3) + + # Export flamegraph + collector.export(flamegraph_out.name) + + # Verify file was created and contains valid data + self.assertTrue(os.path.exists(flamegraph_out.name)) + self.assertGreater(os.path.getsize(flamegraph_out.name), 0) + + # Check file contains HTML content + with open(flamegraph_out.name, "r", encoding="utf-8") as f: + content = f.read() + + # Should be valid HTML + self.assertIn("", content.lower()) + self.assertIn("