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Generate a Groovy API Client Using OpenAPI Generator in 3 Steps

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Generate a Groovy API Client Using OpenAPI Generator in 3 Steps

Hi all, We've just updated the Groovy client generator to support the latest version of Groovy (2.5.7). To generate a Groovy API client given an OpenAPI spec, please follow the steps below: 1. Download the Java JAR ( https://oss.sonatype.org/content/repositories/snapshots/org/... ) 2. Rename the JAR as "openapi-generator-cli.jar" 3. Run the following command to generate a Groovy API client for the Petstore API ( https://raw.githubusercontent.com/OpenAPITools/openapi-gener... ): Mac/Linux: - java -jar openapi-generator-cli.jar generate -g groovy -i https://raw.githubusercontent.com/OpenAPITools/openapi-gener... -o /var/tmp/groovy-api-client/ Windows: - java -jar openapi-generator-cli.jar generate -g groovy -i https://raw.githubusercontent.com/OpenAPITools/openapi-gener... -o C:\tmp\groovy-api-client Thanks Vincent Devos for his contribution on this ( https://github.com/OpenAPITools/openapi-generator/pull/2847 ) Best regards, William

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, user, using · Missing: agents, macos, agent
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

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