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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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Json driven finite state machine

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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Json driven finite state machine

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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TaskCat.Automaton

Json driven finite state machine.

Essentially the need of this could've been simplified using a simple finite state machine. Since this was a part of TaskCat, we figured we need something tailor made for us. A lot of systems are using JSON not only as the primary data interchange format but also the primary storage format now a days. Thanks goes to the document driven databases like MongoDb (esssentially MongoDb uses BSON, but meh!). Handling a system that essentially works with workflows gets tougher and tougher since the real life workflows are not easily predictable, sometimes not even understood up until a certain time has invested into development.

TaskCat.Automaton is a another finite state machine but the transition conditions for this state machines are defined by JSONPatch defined in RFC-6902. The reason behind this was to trigger a document state from one state to another using JSONPatch on the document. Although TaskCat.Automaton doesn't modify the actual document but still it is indeed helpful when you can just ask a state machine to actuate upon any condition you can define through a JSONPatch on any JSON document.

The sample state machine diagram used in the unit tests looks like this. If createNewTarget property of the machine is set to true then the node will create a new node in the chain rather than coming back to itself. TaskCat.Automaton currently clones the definition to create a new node as this is generative. So, your system doesn't have to have all the nodes to begin with. Our current plan is to make sure that it only takes document driven by a JsonSchema and generates default documents (nodes) from that schema so no system has to know all the nodes right in front and you only save what you have traversed.

Sample FSM

The simple state machine based on this graph can be found over https://github.com/thehoneymad/TaskCat.Automaton/blob/master/TaskCat.Automaton/TaskCat.Automaton.Tests/SampleFSM.json

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