Debugging
Server
When you run the
bench start
command during development, the log from each process of the Procfile is logged in the terminal window.
▶ bench start
14:55:17 system | redis_cache.1 started (pid=4085)
14:55:17 system | redis_socketio.1 started (pid=4086)
14:55:17 system | redis_queue.1 started (pid=4088)
14:55:17 system | web.1 started (pid=4089)
14:55:17 system | socketio.1 started (pid=4090)
14:55:17 system | watch.1 started (pid=4094)
14:55:17 system | worker_short.1 started (pid=4096)
14:55:17 system | schedule.1 started (pid=4095)
14:55:17 redis_queue.1 | 4088:C 22 May 14:55:17.257 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
14:55:17 redis_queue.1 | 4088:C 22 May 14:55:17.264 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=4088, just started
14:55:17 redis_queue.1 | 4088:C 22 May 14:55:17.264 # Configuration loaded
14:55:17 redis_queue.1 | 4088:M 22 May 14:55:17.265 * Increased maximum number of open files to 10032 (it was originally set to 4864).
14:55:17 redis_cache.1 | 4085:C 22 May 14:55:17.262 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
14:55:17 redis_cache.1 | 4085:C 22 May 14:55:17.268 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=4085, just started
14:55:17 redis_cache.1 | 4085:C 22 May 14:55:17.268 # Configuration loaded
14:55:17 redis_cache.1 | 4085:M 22 May 14:55:17.269 * Increased maximum number of open files to 10032 (it was originally set to 4864).
14:55:17 redis_socketio.1 | 4086:C 22 May 14:55:17.262 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
14:55:17 redis_socketio.1 | 4086:C 22 May 14:55:17.270 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=4086, just started
14:55:17 redis_socketio.1 | 4086:C 22 May 14:55:17.270 # Configuration loaded
14:55:17 redis_socketio.1 | 4086:M 22 May 14:55:17.272 * Increased maximum number of open files to 10032 (it was originally set to 4864).
14:55:17 redis_queue.1 | 4088:M 22 May 14:55:17.285 * Running mode=standalone, port=11002.
14:55:17 redis_queue.1 | 4088:M 22 May 14:55:17.285 # Server initialized
14:55:17 redis_queue.1 | 4088:M 22 May 14:55:17.286 * Ready to accept connections
14:55:17 redis_cache.1 | 4085:M 22 May 14:55:17.287 * Running mode=standalone, port=13002.
14:55:17 redis_cache.1 | 4085:M 22 May 14:55:17.292 # Server initialized
14:55:17 redis_cache.1 | 4085:M 22 May 14:55:17.292 * Ready to accept connections
14:55:17 redis_socketio.1 | 4086:M 22 May 14:55:17.294 * Running mode=standalone, port=12002.
14:55:17 redis_socketio.1 | 4086:M 22 May 14:55:17.294 # Server initialized
14:55:17 redis_socketio.1 | 4086:M 22 May 14:55:17.295 * Ready to accept connections
14:55:17 system | worker_long.1 started (pid=4098)
14:55:17 system | worker_default.1 started (pid=4100)
14:55:18 socketio.1 | listening on *: 9002
14:55:20 socketio.1 | { Error: connect ECONNREFUSED 0.0.0.0:8002
14:55:20 socketio.1 | at TCPConnectWrap.afterConnect [as oncomplete] (net.js:1191:14)
14:55:20 socketio.1 | errno: 'ECONNREFUSED',
14:55:20 socketio.1 | code: 'ECONNREFUSED',
14:55:20 socketio.1 | syscall: 'connect',
14:55:20 socketio.1 | address: '0.0.0.0',
14:55:20 socketio.1 | port: 8002,
14:55:20 socketio.1 | response: undefined }
14:55:24 web.1 | * Running on http://0.0.0.0:8002/ (Press CTRL+C to quit)
14:55:24 web.1 | * Restarting with fsevents reloader
14:55:24 watch.1 | yarn run v1.10.1
14:55:24 watch.1 | $ node rollup/watch.js
14:55:25 web.1 | * Debugger is active!
14:55:25 web.1 | * Debugger PIN: 321-355-865
14:55:26 watch.1 |
14:55:26 watch.1 | Rollup Watcher Started
14:55:26 watch.1 |
14:55:26 watch.1 | Watching...
14:55:26 watch.1 | Rebuilding frappe-web.css
14:55:27 watch.1 | Rebuilding frappe-web-b4.css
14:55:27 watch.1 | Rebuilding chat.js
14:55:28 web.1 |
14:55:28 web.1 | test print
When you write any print statements in your python code, it will show up in the
web:
process log if it is a request/response, or in one of
worker_
processes if the code runs in a background job.
> If you are a VSCode user, you can debug right in your editor by setting breakpoints in your code. Follow these steps to set it up.
Logging
In case you're running production, you'd need logs all the more to keep track of as much information about your Frappe environment.
Out of the box, logs are stored under the
./logs
folder in your bench. From Frappe Version 13, logs are available at site level too, under
./sites/{site}/logs
.
These site logs are created by the Frappe Application, while many of the bench level log files are generated by the processes that support your Frappe environment. Checkout
Procfile
or
supervisor.conf
in your bench for more information.
> Learn more about Frappe Logs here and the Frappe Logging API from here .
Console
To play with Python API, bench provides an iPython shell. After you run the following command, it will import frappe, initialize it and also connect to database.
▶ bench --site [sitename] console
In [1]: frappe.get_doc('Task', 'TASK00004')
Out[1]: <erpnext.projects.doctype.task.task.task at="" 0x10825d710="">
Client
Client side debugging is as simple as adding a
debugger
statement in your JS file. You must open your DevTools in your browser for it to pause on the statement.
frappe.db.get_value('Task', 'TASK00004', 'status')
.then(values => {
debugger
console.log(values);
})
Console
To play with Client API, you can open your browser's console and use the globally available
frappe
object to explore and run methods and access properties.
Browser Console
> Learn more about the Client API here </erpnext.projects.doctype.task.task.task>
Debugging in VS Code / Debug Adapter Protocol
Checklist for proper functioning.
-
Update
Procfile
-
Get Visual Studio Code (duh!)
-
Install Python Extension for VS Code
-
Update
launch.json
-
Start Debugging
Caveats:
-
Disables Auto Reload Feature (However You can achieve the same results by manual reload (⌘⇧F5))
-
Disables Werkzeug Multithreading
1. Update
Procfile
Caution: This modifies the behaviour of
bench start
Comment out a line (prepend # to it) from the
Procfile
(located in the bench directory) that looks like this.
web: bench serve --port 8000
We will run this process from VS code instead of running it with
bench start
.
2. Update
launch.json
Add a configuration to your
launch.json
in VS Code that should look something like this (This more or less does exactly what the removed line from Procfile does).
{
"name": "Bench",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/frappe/frappe/utils/bench_helper.py",
"args": [
"frappe", "serve", "--port", "8000", "--noreload", "--nothreading"
],
"pythonPath": "${workspaceFolder}/../env/bin/python",
"cwd": "${workspaceFolder}/../sites",
"env": {
"DEV_SERVER": "1"
}
}
Paths mentioned in given configuration assumes that you have
apps
directory as your workspace directory (The directory you open
code
with).
workspaceFolder
is a vs code variable that points to (if it's not obvious from its name) workspace directory.
You are not forced to use
apps
as your workspace directory, however do remember to change
workspaceFolder
,
pythonPath
and
cwd
accordingly.
3. Execute
bench start
This should be kept running as usual.
4. Start debugging
VS Code -> Debug Panel (⌘⇧D) -> Start Debugging or With a keyboard shortcut(⌘⇧F5).
Explanation
1.
program
and
args
"program": "${workspaceFolder}/frappe/frappe/utils/bench_helper.py",
"args": ["frappe", "serve", "--port", "8000", "--noreload", "--nothreading"],
Does exact same thing as
bench serve --port 8000 --noreload --nothreading
which is same as
cd sites
../env/bin/python ../apps/frappe/frappe/utils/bench_helper.py frappe serve --port 8000 --noreload --nothreading
--noreload
diasbles werkezeug's autoreload fetaure and
--nothreading
disables multithreading.
2.
cwd
"cwd": "${workspaceFolder}/../sites",
Above command must be executed from
sites
directory.
3.
env
"env": {
"DEV_SERVER": "1"
}
bench start
creates an environment variable
DEV_SERVER
and set it to
1
. Socket.io doesn't work correctly without this (long story).
Running only
bench serve
doesn't set this variable so you need to explicitly set it.
Note:
Currently, frappe runs with
use_reloader=True
and
threaded=True
, VS Code Debugger for some reason doesn't play well with these features,
Django and Flask
also have this problem.