retweet-leaderboard | Serverless app that maintains a leaderboard of retweet
kandi X-RAY | retweet-leaderboard Summary
kandi X-RAY | retweet-leaderboard Summary
retweet-leaderboard is a Java library. retweet-leaderboard 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.
This code is made available under the MIT license. See the LICENSE file.
This code is made available under the MIT license. See the LICENSE file.
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Quality
Security
License
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Support
retweet-leaderboard has a low active ecosystem.
It has 18 star(s) with 3 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
retweet-leaderboard has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of retweet-leaderboard is current.
Quality
retweet-leaderboard has 0 bugs and 0 code smells.
Security
retweet-leaderboard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
retweet-leaderboard code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
retweet-leaderboard 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
retweet-leaderboard 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 are available. Examples and code snippets are not available.
retweet-leaderboard saves you 245 person hours of effort in developing the same functionality from scratch.
It has 597 lines of code, 31 functions and 15 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed retweet-leaderboard and discovered the below as its top functions. This is intended to give you an instant insight into retweet-leaderboard implemented functionality, and help decide if they suit your requirements.
- Converts a Twitter object to a RetweetCount
- Get the favorite count
- Get number of retweet_count
- Get username
- Handles API request proxy
- Loads all retweet counts from the database
- Returns the limit if the limit is set or default
- Get the limit from the request
- Handle a request
- Updates the count of retweet counts
- Gets or default leaderboard record
- Updates the count of retries
- Provide the leaderboard available for the DynamoDB table
- Gets the leaderboard table name
- Checks whether the given tweet is eligible
- Whether the tweet is native or not
- Gets id of quoted tweet
- Returns whether the tweet is quoted or not
- Compare two RetweetCounts
- Gets the id
- Converts a JSON string to JSON
- Convert back to JSON
Get all kandi verified functions for this library.
retweet-leaderboard Key Features
No Key Features are available at this moment for retweet-leaderboard.
retweet-leaderboard Examples and Code Snippets
No Code Snippets are available at this moment for retweet-leaderboard.
Community Discussions
No Community Discussions are available at this moment for retweet-leaderboard.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install retweet-leaderboard
Create an AWS account if you do not already have one and login
Go to this app's page on the Serverless Application Repository and click "Deploy"
Fill in the required parameters and click "Deploy" and wait for the deployment to complete.
Go to the AWS Lambda Console and note down the name of the TweetProcessor function that was created by the deployment.
The retweet-leaderboard app uses the aws-serverless-twitter-event-source app as a source of Tweet data. So after deploying the retweet-leaderboard to your account, you need to install the aws-serverless-twitter-event-source app to send twitter events to the retweet-leaderboard app.
TweetProcessorFunctionName - This should be set to the name of the TweetProcessor function that you noted down when installing the retweet-leaderboard app.
BatchSize - aws-serverless-twitter-event-source default value is 15. I recommend setting this to a high value like 100 to minimize writes to the Leaderboard table.
SearchText - This controls what tweets are pulled in as part of the game. Generally, you add some uncommon combination of hashtags to search for to try to limit results to just people playing the game. The app's TweetProcessor has filtering logic to ensure only the original tweets (and not individual retweet records) are counted. It also has filtering logic to ensure a tweet has at least one retweet to be added to the leaderboard. However, rather than relying on the lambda function to filter out these records, it is more efficient (and cost effective) to do this filtering at the Twitter Search API layer. You can do this by adding -filter:nativeretweets and min_retweets:1 to your SearchText parameter. So for example, if you tell your players to tweet a post containing the hashtags #serverless and #retweetgame in order to play, you would set the SearchText parameter to #serverless #retweetgame -filter:nativeretweets min_retweets:1. Also note, if you want to change the SearchText after deploying the app, you can always do this via the AWS Lambda Console by finding the TwitterSearchPoller lambda created by the aws-serverless-twitter-event-source app and changing its SEARCH_TEXT environment variable value. If you do this, you should also delete the Leaderboard record from the Leaderboard DynamoDB table so results associated with the old search are discarded.
Go to this app's page on the Serverless Application Repository and click "Deploy"
Fill in the required parameters and click "Deploy" and wait for the deployment to complete.
Go to the AWS Lambda Console and note down the name of the TweetProcessor function that was created by the deployment.
The retweet-leaderboard app uses the aws-serverless-twitter-event-source app as a source of Tweet data. So after deploying the retweet-leaderboard to your account, you need to install the aws-serverless-twitter-event-source app to send twitter events to the retweet-leaderboard app.
TweetProcessorFunctionName - This should be set to the name of the TweetProcessor function that you noted down when installing the retweet-leaderboard app.
BatchSize - aws-serverless-twitter-event-source default value is 15. I recommend setting this to a high value like 100 to minimize writes to the Leaderboard table.
SearchText - This controls what tweets are pulled in as part of the game. Generally, you add some uncommon combination of hashtags to search for to try to limit results to just people playing the game. The app's TweetProcessor has filtering logic to ensure only the original tweets (and not individual retweet records) are counted. It also has filtering logic to ensure a tweet has at least one retweet to be added to the leaderboard. However, rather than relying on the lambda function to filter out these records, it is more efficient (and cost effective) to do this filtering at the Twitter Search API layer. You can do this by adding -filter:nativeretweets and min_retweets:1 to your SearchText parameter. So for example, if you tell your players to tweet a post containing the hashtags #serverless and #retweetgame in order to play, you would set the SearchText parameter to #serverless #retweetgame -filter:nativeretweets min_retweets:1. Also note, if you want to change the SearchText after deploying the app, you can always do this via the AWS Lambda Console by finding the TwitterSearchPoller lambda created by the aws-serverless-twitter-event-source app and changing its SEARCH_TEXT environment variable value. If you do this, you should also delete the Leaderboard record from the Leaderboard DynamoDB table so results associated with the old search are discarded.
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 .
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