weatherBot | ⛈ A Twitter bot for weather

by BrianMitchL Python Version: v5.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | weatherBot Summary

weatherBot is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. weatherBot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A Twitter bot for weather. Powered by Dark Sky. Example bots can be found at @MorrisMNWeather and @WeatherByBrian. weatherBot tweets the current weather condition at scheduled times. If a special weather event is happening, it will tweet that (outside of the scheduled times). weatherBot can also tweet the current day's forecast.

Support

Quality

Security

License

Reuse

Support

weatherBot has a low active ecosystem.

It has 27 star(s) with 15 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 24 have been closed. On average issues are closed in 58 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of weatherBot is v5.0

Quality

weatherBot has 0 bugs and 30 code smells.

Security

weatherBot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

weatherBot code analysis shows 0 unresolved vulnerabilities.

There are 9 security hotspots that need review.

License

weatherBot is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

weatherBot releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 1594 lines of code, 121 functions and 7 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed weatherBot and discovered the below as its top functions. This is intended to give you an instant insight into weatherBot implemented functionality, and help decide if they suit your requirements.

Generate a tweet log
Return sha256 hash of the alert
Check if this alert has expired
Get Tweepy API
Convert datetime to UTC
Returns a random alert
Load configuration from file
Parse a time string
Parse a list of times
Get a location from a user timeline
Computes the centerpoint of a list of geolocation
Get the forecast object for the given location
Removes expired throttles from the dictionary
Convert datetime to UTC timezone
Return a cache object
Sets the cache
Set environment variables
Return a tweepy API
Set darksky_darksky_key

Get all kandi verified functions for this library.

weatherBot Key Features

No Key Features are available at this moment for weatherBot.

weatherBot Examples and Code Snippets

No Code Snippets are available at this moment for weatherBot.

Community Discussions

Trending Discussions on weatherBot

Rasa lookup table throws error in training data - " Not a valid NLU data"

RASA Error : Invalid story file format and Failed to decode parameters as a json object

QUESTION

Rasa lookup table throws error in training data - " Not a valid NLU data"

Asked 2020-Jun-12 at 16:31

I'm building a weatherbot using RASA and want my model to be able to extract locations as entities . My model did not recognize locations that were outside of the training data. So , I decided to use lookup tables for additional entities .

I followed the blog article Entity extraction with lookup tables and used a lookup table to recognize location entities in my training data by creating a lookup ‘.txt’ file under the data folder .

This is how my training data looks like :

...

ANSWER

Answered 2020-Jun-12 at 16:31

This is actually unrelated to the lookups, by loading your data I could see you are missing a comma between lookups and common examples, it should look like this:

Source https://stackoverflow.com/questions/62288201

QUESTION

RASA Error : Invalid story file format and Failed to decode parameters as a json object

Asked 2020-Jun-11 at 08:22

I'm using the latest version 1.10.1 of Rasa and am developing a weatherbot .

I'm unable to train my dialogue model using ' rasa train ' . When I run the command ' rasa train ' , I'm getting an error ' Invalid story file format and failed to parse stories.md ' . My stories.md seems to be in proper format. And , further along , I also get the error , ' Invalid to parse arguments in line 'slot{"location:"London"}'. Failed to decode parametersas a json object. Make sure the eventname is followed by a proper json object. Error: Expecting ':' delimiter: line 1 column 13 (char 12)'

My stories.md file :

...

ANSWER

Answered 2020-Jun-11 at 08:22

Here is the error:

Source https://stackoverflow.com/questions/62320002

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install weatherBot

Run the following from the repository root directory to install the needed dependencies.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: