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McBrew

A series of Python scripts for recording and remotely monitoring temperatures (from your browser) using an MCP9808 thermal sensor, compatible with Rasperry Pi and Arduino hardware. image not found

Pre-requisites

In order for the monitor to work, you'll have to

  1. Set up an account with plot.ly
    plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py

Starting the monitor

The monitor can be started using

./brew_monitor.py

which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.

Additional stuff

auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py at the bottom of the file /etc/rc.local will automatically start the monitoring when your machine is booted.

wireless_connect.sh is called when the network connection is lost. You can edit this file such that it tries to re-connect to your network of choice, or you can just leave it as it is and it won't do anything!

Tested with Python 2.7.*.

About

A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions.

Resources

Readme
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2 stars

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1 watching

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1 fork
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} 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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Repository files navigation
McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
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Readme
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1 watching
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1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
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.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
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document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
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Repository files navigation
McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
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, 'i');
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// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
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parts.forEach(function(part, i) {
if (i % 2 === 0) {
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} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
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highlight(document.body);
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var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
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try {
var __m = "*";
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Repository files navigation
McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} 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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brew_monitor.py
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wireless_connect.sh
Repository files navigation
McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
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observer.observe(document.body, { childList: true, subtree: true });
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Repository files navigation
McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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Repository files navigation
McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
1 fork
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
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}
// Toggle with Alt+Shift+D
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e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
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var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
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McBrew Logo
McBrew
A series of Python scripts for recording and remotely
monitoring temperatures (from your browser) using an
MCP9808 thermal sensor,
compatible with Rasperry Pi and Arduino hardware.
image not found
Pre-requisites
In order for the monitor to work, you'll have to
  1. Set up an account with plot.ly
    
plot.ly     to download the relevant keys and access your the live stream.
  2. Install the MCP9808 Python library (see here for details)
  3. Download and set-up Dropbox Uploader (optional, used for writing debug statement to a remote logfile)
  4. Edit the relevant user defined paths at the top of brew_monitor.py
Starting the monitor
The monitor can be started using
./brew_monitor.py 
which will live stream data from a MCP9808 thermal sensor to your account on plot.ly.
Additional stuff
auto_start_bm.py is an example script to auto start the monitor when you machine is switched on. To use it, you'll need to edit the relevant paths to point to the McBrew directory. Putting the full path of auto_start_bm.py
at the bottom of the file /etc/rc.local will automatically
start the monitoring when your machine is booted.
wireless_connect.sh is called when the network connection is
lost. You can edit this file such that it tries to re-connect to
your network of choice, or you can just leave it as it is and it
won't do anything!
Tested with Python 2.7.*.
About
A series of Python libraries/scripts for recording and remotely monitoring fermenter temperature evolutions. 
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
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