I’m looking at the log files from my streamlit app. I I can see that my application creates Watchers when started via streamlit run app.py. I can see that later the watcher is created again.
I guess the watcher should be disabled in production. How do I do that?
(I have tried changing some of the configuration settings but without luck).
But it actually does not show me the watchFileSystem. The output of the command is
Initialized tornado logs
# Below are all the sections and options you can have in ~/.streamlit/config.toml.
[global]
# By default, Streamlit checks if the Python watchdog module is available and, if not, prints a warning asking for you to install it. The watchdog module is not required,
but highly recommended. It improves Streamlit's ability to detect changes to files in your filesystem.
# If you'd like to turn off this warning, set this to True.
# Default: false
disableWatchdogWarning = false
# Configure the ability to share apps to the cloud.
# Should be set to one of these values: - "off" : turn off sharing. - "s3" : share to S3, based on the settings under the [s3] section of this config file.
# Default: "off"
sharingMode = "off"
# If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py".
# Default: true
showWarningOnDirectExecution = true
# Level of logging: 'error', 'warning', 'info', or 'debug'.
# Default: 'info'
logLevel = "info"
[client]
# Whether to enable st.cache.
# Default: true
# The value below was set in H:\.streamlit\config.toml
caching = true
# If false, makes your Streamlit script not draw to a Streamlit app.
# Default: true
# The value below was set in H:\.streamlit\config.toml
displayEnabled = true
[runner]
# Allows you to type a variable or string by itself in a single line of Python code to write it to the app.
# Default: true
# The value below was set in H:\.streamlit\config.toml
magicEnabled = true
# Install a Python tracer to allow you to stop or pause your script at any point and introspect it. As a side-effect, this slows down your script's execution.
# Default: false
# The value below was set in H:\.streamlit\config.toml
installTracer = false
# Sets the MPLBACKEND environment variable to Agg inside Streamlit to prevent Python crashing.
# Default: true
# The value below was set in H:\.streamlit\config.toml
fixMatplotlib = true
[server]
# List of folders that should not be watched for changes. Relative paths will be taken as relative to the current working directory.
# Example: ['/home/user1/env', 'relative/path/to/folder']
# Default: []
# The value below was set in H:\.streamlit\config.toml
folderWatchBlacklist = []
# If false, will attempt to open a browser window on start.
# Default: false unless (1) we are on a Linux box where DISPLAY is unset, or (2) server.liveSave is set.
# The value below was set in H:\.streamlit\config.toml
headless = true
# Immediately share the app in such a way that enables live monitoring, and post-run analysis.
# Default: false
# The value below was set in H:\.streamlit\config.toml
liveSave = false
# Automatically rerun script when the file is modified on disk.
# Default: false
# The value below was set in H:\.streamlit\config.toml
runOnSave = false
# The port where the server will listen for client and browser connections.
# Default: 8501
# The value below was set in H:\.streamlit\config.toml
port = 8000
# Enables support for Cross-Origin Request Sharing, for added security.
# Default: true
# The value below was set in H:\.streamlit\config.toml
enableCORS = true
[browser]
# Internet address of the server server that the browser should connect to. Can be IP address or DNS name.
# Default: 'localhost'
# The value below was set in H:\.streamlit\config.toml
serverAddress = "127.0.0.1"
# Whether to send usage statistics to Streamlit.
# Default: true
# The value below was set in H:\.streamlit\config.toml
gatherUsageStats = true
# Port that the browser should use to connect to the server when in liveSave mode.
# Default: whatever value is set in server.port.
# The value below was set in H:\.streamlit\config.toml
serverPort = 8000
[s3]
# Name of the AWS S3 bucket to save apps.
# Default: (unset)
#bucket =
# URL root for external view of Streamlit apps.
# Default: (unset)
#url =
# Access key to write to the S3 bucket.
# Leave unset if you want to use an AWS profile.
# Default: (unset)
#accessKeyId =
# Secret access key to write to the S3 bucket.
# Leave unset if you want to use an AWS profile.
# Default: (unset)
#secretAccessKey =
# Make the shared app visible only to users who have been granted view permission. If you are interested in this option, contact us at support@streamlit.io.
# Default: false
# The value below was set in H:\.streamlit\config.toml
requireLoginToView = false
# The "subdirectory" within the S3 bucket where to save apps.
# S3 calls paths "keys" which is why the keyPrefix is like a subdirectory. Use "" to mean the root directory.
# Default: ""
# The value below was set in H:\.streamlit\config.toml
keyPrefix = ""
# AWS region where the bucket is located, e.g. "us-west-2".
# Default: (unset)
#region =
# AWS credentials profile to use.
# Leave unset to use your default profile.
# Default: (unset)
#profile =
watchFilesystem was an old setting, way back in the day. We have since refactored the code a lot and haven’t reintroduced support for that. Will do ASAP.
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