SmokeDetector | Headless chatbot that detects spam | Chat library
kandi X-RAY | SmokeDetector Summary
kandi X-RAY | SmokeDetector Summary
SmokeDetector is a Python library typically used in Messaging, Chat, Docker applications. SmokeDetector has build file available, it has a Permissive License and it has low support. However SmokeDetector has 4 bugs and it has 1 vulnerabilities. You can download it from GitHub.
Headless chatbot that detects spam and posts it to chatrooms. Uses ChatExchange, takes questions from the Stack Exchange realtime tab, and accesses answers via the Stack Exchange API.
Headless chatbot that detects spam and posts it to chatrooms. Uses ChatExchange, takes questions from the Stack Exchange realtime tab, and accesses answers via the Stack Exchange API.
Support
Quality
Security
License
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Support
SmokeDetector has a low active ecosystem.
It has 432 star(s) with 185 fork(s). There are 20 watchers for this library.
It had no major release in the last 6 months.
There are 37 open issues and 347 have been closed. On average issues are closed in 57 days. There are 13 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of SmokeDetector is current.
Quality
SmokeDetector has 4 bugs (1 blocker, 0 critical, 2 major, 1 minor) and 221 code smells.
Security
SmokeDetector has 1 vulnerability issues reported (0 critical, 1 high, 0 medium, 0 low).
SmokeDetector code analysis shows 0 unresolved vulnerabilities.
There are 34 security hotspots that need review.
License
SmokeDetector is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
SmokeDetector releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
SmokeDetector saves you 4569 person hours of effort in developing the same functionality from scratch.
It has 9659 lines of code, 559 functions and 42 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed SmokeDetector and discovered the below as its top functions. This is intended to give you an instant insight into SmokeDetector implemented functionality, and help decide if they suit your requirements.
- Called when a webSocket message is received
- Generate a list of posts to report
- Reload git commit info
- Fetch the post ID and site type from the given URL
- Get post from post_url
- Add question to queue
- Schedules a site thread starred by the given site
- Acquire the lock for a site processing thread
- Execute stat
- Return the value of the key
- Registers a false positive
- Remove an item from the blacklist
- Sends a status ping
- Post stats on a post
- Parse the API response
- Function to register a true positive positive
- Reload git commit
- Send messages to the queue
- Send a status ping
- Takes a test string and returns a test
- Whois a user
- Find matches in given string
- Loads pickle files
- Return a boolean indicating whether the string contains a link
- Validate a single hostname
- Subscribe to post_url
- Create a new rule
Get all kandi verified functions for this library.
SmokeDetector Key Features
No Key Features are available at this moment for SmokeDetector.
SmokeDetector Examples and Code Snippets
No Code Snippets are available at this moment for SmokeDetector.
Community Discussions
Trending Discussions on SmokeDetector
QUESTION
Associative table is erroring
Asked 2020-Feb-23 at 20:38
I have a school project where I need to create a database in SQL Server. I am currently having issues entering in my tables.
I have successfully entered in the first two tables, but the associative table is erroring, as are other tables following.
...ANSWER
Answered 2020-Feb-23 at 20:27For the third table definition:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
CVE-2019-1020011 HIGH
SmokeDetector intentionally does automatic deployments of updated copies of SmokeDetector without server operator authority.
Install SmokeDetector
To set up SmokeDetector, please use. Next, copy config.sample to a new file called config, and edit the values required. To run, use python3 nocrash.py (preferably in a daemon-able mode, like a screen session.) You can also use python3 ws.py, but then SmokeDetector will be shut down after 6 hours; when running from nocrash.py, it will be restarted. (This is to be sure that closed websockets, if any, are reopened.).
Running in a virtual environment is a good way to isolate dependency packages from your local system. To set up SmokeDetector in a virtual environment, you can use. Next, copy the config file and edit as said above. To run SmokeDetector in this virtual environment, use env/bin/python3 nocrash.py. [Note: On some systems (e.g. Mac's and Linux), some circumstances may require the --user option be removed from the last pip3 command line in the above instructions. However, the --user option is known to be necessary in other circumstances. Further testing is necessary to resolve the discrepancy.].
Running in a Docker container is an even better way to isolate dependency packages from your local system. To set up SmokeDetector in a Docker container, follow the steps below. I'll assume you have the basic ideas of Docker and Docker Compose. The first thing you need is a properly filled config file. You can start with the sample. Create a directory (name it whatever you like), place the config file and docker-compose.yml file. Run docker-compose up -d and your SmokeDetector instance is up. If you want additional control like memory and CPU constraint, you can edit docker-compose.yml and add the following keys to smokey. The example values are recommended values.
Grab the Dockerfile and build an image of SmokeDetector: DATE=$(date +%F) mkdir temp cd temp wget https://raw.githubusercontent.com/Charcoal-SE/SmokeDetector/master/Dockerfile docker build -t smokey:$DATE .
Create a container from the image you just built docker create --name=mysmokedetector smokedetector:$DATE
Start the container. Don't worry, SmokeDetector won't run until it's ready, so you have the chance to edit the configuration file before SmokeDetector runs. Copy config.sample to a new file named config and edit the values required, then copy the file into the container with this command: docker cp config mysmokedetector:/home/smokey/SmokeDetector/config
If you would like to set up additional stuff (SSH, Git etc.), you can do so with a Bash shell in the container: docker exec -it mysmokedetector bash After you're ready, put a file named ready under /home/smokey: touch ~smokey/ready
Running in a virtual environment is a good way to isolate dependency packages from your local system. To set up SmokeDetector in a virtual environment, you can use. Next, copy the config file and edit as said above. To run SmokeDetector in this virtual environment, use env/bin/python3 nocrash.py. [Note: On some systems (e.g. Mac's and Linux), some circumstances may require the --user option be removed from the last pip3 command line in the above instructions. However, the --user option is known to be necessary in other circumstances. Further testing is necessary to resolve the discrepancy.].
Running in a Docker container is an even better way to isolate dependency packages from your local system. To set up SmokeDetector in a Docker container, follow the steps below. I'll assume you have the basic ideas of Docker and Docker Compose. The first thing you need is a properly filled config file. You can start with the sample. Create a directory (name it whatever you like), place the config file and docker-compose.yml file. Run docker-compose up -d and your SmokeDetector instance is up. If you want additional control like memory and CPU constraint, you can edit docker-compose.yml and add the following keys to smokey. The example values are recommended values.
Grab the Dockerfile and build an image of SmokeDetector: DATE=$(date +%F) mkdir temp cd temp wget https://raw.githubusercontent.com/Charcoal-SE/SmokeDetector/master/Dockerfile docker build -t smokey:$DATE .
Create a container from the image you just built docker create --name=mysmokedetector smokedetector:$DATE
Start the container. Don't worry, SmokeDetector won't run until it's ready, so you have the chance to edit the configuration file before SmokeDetector runs. Copy config.sample to a new file named config and edit the values required, then copy the file into the container with this command: docker cp config mysmokedetector:/home/smokey/SmokeDetector/config
If you would like to set up additional stuff (SSH, Git etc.), you can do so with a Bash shell in the container: docker exec -it mysmokedetector bash After you're ready, put a file named ready under /home/smokey: touch ~smokey/ready
Support
User documentation is in the wiki. Detailed documentation for setting up and running SmokeDetector is in the wiki.
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