Download JAR files tagged by hard with all dependencies
maven-properties-enum-plugin from group com.googlecode.maven-properties-enum-plugin (version 1.4.0)
Never liked hard-coding your property keys? The maven-properties-enum-plugin allows you to generate enum types, holding all valid keys including javadoc.
Your advantages:
* You can't access on non-existing keys as it would cause compile errors
* As it's an enum, you can use your IDE's auto-completion
* You'll never have to check your properties keys again
* You can see the property's value in the enum field's javadoc
Group: com.googlecode.maven-properties-enum-plugin Artifact: maven-properties-enum-plugin
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1 downloads
Artifact maven-properties-enum-plugin
Group com.googlecode.maven-properties-enum-plugin
Version 1.4.0
Last update 23. August 2013
Organization not specified
URL http://code.google.com/p/maven-properties-enum-plugin/
License Apache 2
Dependencies amount 4
Dependencies maven-project, maven-plugin-api, slf4j-api, logback-classic,
There are maybe transitive dependencies!
Group com.googlecode.maven-properties-enum-plugin
Version 1.4.0
Last update 23. August 2013
Organization not specified
URL http://code.google.com/p/maven-properties-enum-plugin/
License Apache 2
Dependencies amount 4
Dependencies maven-project, maven-plugin-api, slf4j-api, logback-classic,
There are maybe transitive dependencies!
maven-properties-enum-plugin from group net.sf.maven-properties-enum-plugin (version 1.0.1)
Never liked hard-coding your property keys? The maven-properties-enum-plugin allows you to generate enum types, holding all valid keys including javadoc.
Your advantages:
* You can't access on non-existing keys as it would cause compile errors
* As it's an enum, you can use your IDE's auto-completion
* You'll never have to check your properties keys again
* You can see the property's value in the enum field's javadoc
Artifact maven-properties-enum-plugin
Group net.sf.maven-properties-enum-plugin
Version 1.0.1
Last update 10. December 2010
Organization not specified
URL http://code.google.com/p/maven-properties-enum-plugin/
License Apache 2
Dependencies amount 4
Dependencies maven-project, maven-plugin-api, maven-plugin-testing-harness, log4j,
There are maybe transitive dependencies!
Group net.sf.maven-properties-enum-plugin
Version 1.0.1
Last update 10. December 2010
Organization not specified
URL http://code.google.com/p/maven-properties-enum-plugin/
License Apache 2
Dependencies amount 4
Dependencies maven-project, maven-plugin-api, maven-plugin-testing-harness, log4j,
There are maybe transitive dependencies!
sequentialInformationalBottleneckClusterer from group nz.ac.waikato.cms.weka (version 1.0.2)
Cluster data using the sequential information bottleneck algorithm.
Note: only hard clustering scheme is supported. sIB assign for each instance the cluster that have the minimum cost/distance to the instance. The trade-off beta is set to infinite so 1/beta is zero.
For more information, see:
Noam Slonim, Nir Friedman, Naftali Tishby: Unsupervised document classification using sequential information maximization. In: Proceedings of the 25th International ACM SIGIR Conference on Research and Development in Information Retrieval, 129-136, 2002.
Group: nz.ac.waikato.cms.weka Artifact: sequentialInformationalBottleneckClusterer
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0 downloads
Artifact sequentialInformationalBottleneckClusterer
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
r6-generator from group io.github.terminological (version 0.5.6)
R can use RJava or jsr223 to communicate with java. R also has a class system called R6. If you want to use a java library
with native rJava or jsr223 in R there is potentially a lot of glue code needed, and R library specific packaging configuration required.
However if you don't mind writing an R-centric API in Java you can generate all of this glue code using a few java annotations
and the normal javadoc annotations. This plugin aims to provide an annotation processor that writes that glue code and creates a fairly
transparent connection between Java code and R code, with a minimum of hard work. The focus of this is streamlining the creation of R
libraries by Java developers, rather than allowing access to arbitrary Java code from R. The ultimate aim of this plugin to allow
java developers to provide simple APIs for their libraries, package their library using Maven, push it to github and for that to
become seamlessly available as an R library, with a minimal amount of fuss. A focus is on trying to produce CI ready libraries
tested with Github workflows and ready for CRAN submission.
Group: io.github.terminological Artifact: r6-generator
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0 downloads
Artifact r6-generator
Group io.github.terminological
Version 0.5.6
Last update 26. September 2022
Organization not specified
URL https://github.com/terminological/r6-generator
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group io.github.terminological
Version 0.5.6
Last update 26. September 2022
Organization not specified
URL https://github.com/terminological/r6-generator
License MIT License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
groupdocs-watermark from group com.groupdocs (version 18.3)
GroupDocs.Watermark for Java is a powerful document watermarking API to add image and text watermarks. Furthermore, API works to search and remove the watermarks which were already added to the documents by other third-party softwares.
The watermarks added by this API are hard to remove by any third-party tools.
It is straight-forward and self-descriptive for integration into the custom applications.
The most notable features are:
- Add text and image watermarks into documents and images
- Search for possible watermarks in documents and remove them
- Support various document formats: Pdf; MS Office: Word, Excel, PowerPoint, Visio
- Support various image formats: png, bmp, jpeg, jpeg2000, gif, tiff, webp (including multiframe gif and tiff)
- Process documents and images attached to stored email messages (msg, oft, eml, emlx formats are supported)
- Add watermarks to images inside documents of all supported formats
- Two ways of watermark adding/removing are supported: using generalized approach and working with supported format specifics
5 downloads
Artifact groupdocs-watermark
Group com.groupdocs
Version 18.3
Last update 27. March 2018
Organization not specified
URL http://www.groupdocs.com/java/document-watermark-library
License GroupDocs License, Version 1.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group com.groupdocs
Version 18.3
Last update 27. March 2018
Organization not specified
URL http://www.groupdocs.com/java/document-watermark-library
License GroupDocs License, Version 1.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
rng from group de.cit-ec.ml (version 1.0.0)
This is an implementation of the Neural Gas algorithm on
distance data (Relational Neural Gas) for unsupervised clustering.
We recommend that you use the functions provided by the RelationalNeuralGas
class for your purposes. All other classes and functions are utilities which
are used by this central class. In particular, you can use RelationalNeuralGas.train()
to obtain a RNGModel (i.e. a clustering of your data), and subsequently
you can use RelationalNeuralGas.getAssignments() to obtain the resulting
cluster assignments, and RelationalNeuralGas.classify() to cluster new points
which are not part of the training data set.
The underlying scientific work is summarized nicely in the dissertation
"Topographic Mapping of Dissimilarity Datasets" by Alexander Hasenfuss
(2009).
The basic properties of an Relational Neural Gas algorithm are the following:
1.) It is relational: The data is represented only in terms of a pairwise
distance matrix.
2.) It is a clustering method: The algorithm provides a clustering model,
that is: After calculation,
each data point should be assigned to a cluster (for this package here we
only consider hard clustering, that is: each data point is assigned to
exactly one cluster).
3.) It is a vector quantization method: Each cluster corresponds to a
prototype, which is in the center of the
cluster and data points are assigned to the cluster if and only if they are
closest to this particular prototype.
4.) It is rank-based: The updates of the prototypes depend only on
the distance ranking, not on the absolute value of the distances.
Artifact rng
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
pact-jvm-consumer-java8_2.12 from group au.com.dius (version 3.6.15)
# pact-jvm-consumer-java8
Provides a Java8 lambda based DSL for use with Junit to build consumer tests.
# A Lambda DSL for Pact
This is an extension for the pact DSL provided by [pact-jvm-consumer](../pact-jvm-consumer). The difference between
the default pact DSL and this lambda DSL is, as the name suggests, the usage of lambdas. The use of lambdas makes the code much cleaner.
## Why a new DSL implementation?
The lambda DSL solves the following two main issues. Both are visible in the following code sample:
```java
new PactDslJsonArray()
.array() # open an array
.stringValue("a1") # choose the method that is valid for arrays
.stringValue("a2") # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.numberValue(1) # choose the method that is valid for arrays
.numberValue(2) # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.object() # now we work with an object
.stringValue("foo", "Foo") # choose the method that is valid for objects
.closeObject() # close the object and we're back in the array
.closeArray() # close the array
```
### The existing DSL is quite error-prone
Methods may only be called in certain states. For example `object()` may only be called when you're currently working on an array whereas `object(name)`
is only allowed to be called when working on an object. But both of the methods are available. You'll find out at runtime if you're using the correct method.
Finally, the need for opening and closing objects and arrays makes usage cumbersome.
The lambda DSL has no ambiguous methods and there's no need to close objects and arrays as all the work on such an object is wrapped in a lamda call.
### The existing DSL is hard to read
When formatting your source code with an IDE the code becomes hard to read as there's no indentation possible. Of course, you could do it by hand but we want auto formatting!
Auto formatting works great for the new DSL!
```java
array.object((o) -> {
o.stringValue("foo", "Foo"); # an attribute
o.stringValue("bar", "Bar"); # an attribute
o.object("tar", (tarObject) -> { # an attribute with a nested object
tarObject.stringValue("a", "A"); # attribute of the nested object
tarObject.stringValue("b", "B"); # attribute of the nested object
})
});
```
## Installation
### Maven
```
<dependency>
<groupId>au.com.dius</groupId>
<artifactId>pact-jvm-consumer-java8</artifactId>
<version>${pact.version}</version>
</dependency>
```
## Usage
Start with a static import of `LambdaDsl`. This class contains factory methods for the lambda dsl extension.
When you come accross the `body()` method of `PactDslWithProvider` builder start using the new extensions.
The call to `LambdaDsl` replaces the call to instance `new PactDslJsonArray()` and `new PactDslJsonBody()` of the pact library.
```java
io.pactfoundation.consumer.dsl.LambdaDsl.*
```
### Response body as json array
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonArray;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonArray((a) -> {
a.stringValue("a1");
a.stringValue("a2");
}).build());
```
### Response body as json object
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonBody;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build());
```
### Examples
#### Simple Json object
When creating simple json structures the difference between the two approaches isn't big.
##### JSON
```json
{
"bar": "Bar",
"foo": "Foo"
}
```
##### Pact DSL
```java
new PactDslJsonBody()
.stringValue("foo", "Foo")
.stringValue("bar", "Bar")
```
##### Lambda DSL
```java
newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build()
```
#### An array of arrays
When we come to more complex constructs with arrays and nested objects the beauty of lambdas become visible!
##### JSON
```json
[
["a1", "a2"],
[1, 2],
[{"foo": "Foo"}]
]
```
##### Pact DSL
```java
new PactDslJsonArray()
.array()
.stringValue("a1")
.stringValue("a2")
.closeArray()
.array()
.numberValue(1)
.numberValue(2)
.closeArray()
.array()
.object()
.stringValue("foo", "Foo")
.closeObject()
.closeArray()
```
##### Lambda DSL
```java
newJsonArray((rootArray) -> {
rootArray.array((a) -> a.stringValue("a1").stringValue("a2"));
rootArray.array((a) -> a.numberValue(1).numberValue(2));
rootArray.array((a) -> a.object((o) -> o.stringValue("foo", "Foo"));
}).build()
```
Group: au.com.dius Artifact: pact-jvm-consumer-java8_2.12
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0 downloads
Artifact pact-jvm-consumer-java8_2.12
Group au.com.dius
Version 3.6.15
Last update 29. April 2020
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 9
Dependencies kotlin-stdlib-jre8, kotlin-reflect, slf4j-api, groovy-all, kotlin-logging, scala-library, scala-compiler, scala-logging_2.12, pact-jvm-consumer-junit_2.12,
There are maybe transitive dependencies!
Group au.com.dius
Version 3.6.15
Last update 29. April 2020
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 9
Dependencies kotlin-stdlib-jre8, kotlin-reflect, slf4j-api, groovy-all, kotlin-logging, scala-library, scala-compiler, scala-logging_2.12, pact-jvm-consumer-junit_2.12,
There are maybe transitive dependencies!
pact-jvm-consumer-java8 from group au.com.dius (version 4.0.10)
# pact-jvm-consumer-java8
Provides a Java8 lambda based DSL for use with Junit to build consumer tests.
# A Lambda DSL for Pact
This is an extension for the pact DSL provided by [pact-jvm-consumer](../pact-jvm-consumer). The difference between
the default pact DSL and this lambda DSL is, as the name suggests, the usage of lambdas. The use of lambdas makes the code much cleaner.
## Why a new DSL implementation?
The lambda DSL solves the following two main issues. Both are visible in the following code sample:
```java
new PactDslJsonArray()
.array() # open an array
.stringValue("a1") # choose the method that is valid for arrays
.stringValue("a2") # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.numberValue(1) # choose the method that is valid for arrays
.numberValue(2) # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.object() # now we work with an object
.stringValue("foo", "Foo") # choose the method that is valid for objects
.closeObject() # close the object and we're back in the array
.closeArray() # close the array
```
### The existing DSL is quite error-prone
Methods may only be called in certain states. For example `object()` may only be called when you're currently working on an array whereas `object(name)`
is only allowed to be called when working on an object. But both of the methods are available. You'll find out at runtime if you're using the correct method.
Finally, the need for opening and closing objects and arrays makes usage cumbersome.
The lambda DSL has no ambiguous methods and there's no need to close objects and arrays as all the work on such an object is wrapped in a lamda call.
### The existing DSL is hard to read
When formatting your source code with an IDE the code becomes hard to read as there's no indentation possible. Of course, you could do it by hand but we want auto formatting!
Auto formatting works great for the new DSL!
```java
array.object((o) -> {
o.stringValue("foo", "Foo"); # an attribute
o.stringValue("bar", "Bar"); # an attribute
o.object("tar", (tarObject) -> { # an attribute with a nested object
tarObject.stringValue("a", "A"); # attribute of the nested object
tarObject.stringValue("b", "B"); # attribute of the nested object
})
});
```
## Installation
### Maven
```
<dependency>
<groupId>au.com.dius</groupId>
<artifactId>pact-jvm-consumer-java8_2.12</artifactId>
<version>${pact.version}</version>
</dependency>
```
## Usage
Start with a static import of `LambdaDsl`. This class contains factory methods for the lambda dsl extension.
When you come accross the `body()` method of `PactDslWithProvider` builder start using the new extensions.
The call to `LambdaDsl` replaces the call to instance `new PactDslJsonArray()` and `new PactDslJsonBody()` of the pact library.
```java
io.pactfoundation.consumer.dsl.LambdaDsl.*
```
### Response body as json array
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonArray;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonArray((a) -> {
a.stringValue("a1");
a.stringValue("a2");
}).build());
```
### Response body as json object
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonBody;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build());
```
### Examples
#### Simple Json object
When creating simple json structures the difference between the two approaches isn't big.
##### JSON
```json
{
"bar": "Bar",
"foo": "Foo"
}
```
##### Pact DSL
```java
new PactDslJsonBody()
.stringValue("foo", "Foo")
.stringValue("bar", "Bar")
```
##### Lambda DSL
```java
newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build();
```
#### An array of arrays
When we come to more complex constructs with arrays and nested objects the beauty of lambdas become visible!
##### JSON
```json
[
["a1", "a2"],
[1, 2],
[{"foo": "Foo"}]
]
```
##### Pact DSL
```java
new PactDslJsonArray()
.array()
.stringValue("a1")
.stringValue("a2")
.closeArray()
.array()
.numberValue(1)
.numberValue(2)
.closeArray()
.array()
.object()
.stringValue("foo", "Foo")
.closeObject()
.closeArray();
```
##### Lambda DSL
```java
newJsonArray((rootArray) -> {
rootArray.array((a) -> a.stringValue("a1").stringValue("a2"));
rootArray.array((a) -> a.numberValue(1).numberValue(2));
rootArray.array((a) -> a.object((o) -> o.stringValue("foo", "Foo")));
}).build();
```
##### Kotlin Lambda DSL
```kotlin
newJsonArray {
newArray {
stringValue("a1")
stringValue("a2")
}
newArray {
numberValue(1)
numberValue(2)
}
newArray {
newObject { stringValue("foo", "Foo") }
}
}
```
Group: au.com.dius Artifact: pact-jvm-consumer-java8
Show all versions Show documentation Show source
Show all versions Show documentation Show source
0 downloads
Artifact pact-jvm-consumer-java8
Group au.com.dius
Version 4.0.10
Last update 18. April 2020
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 1
Dependencies pact-jvm-consumer,
There are maybe transitive dependencies!
Group au.com.dius
Version 4.0.10
Last update 18. April 2020
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 1
Dependencies pact-jvm-consumer,
There are maybe transitive dependencies!
pact-jvm-consumer-java8_2.11 from group au.com.dius (version 3.5.24)
# pact-jvm-consumer-java8
Provides a Java8 lambda based DSL for use with Junit to build consumer tests.
# A Lambda DSL for Pact
This is an extension for the pact DSL provided by [pact-jvm-consumer](../pact-jvm-consumer). The difference between
the default pact DSL and this lambda DSL is, as the name suggests, the usage of lambdas. The use of lambdas makes the code much cleaner.
## Why a new DSL implementation?
The lambda DSL solves the following two main issues. Both are visible in the following code sample:
```java
new PactDslJsonArray()
.array() # open an array
.stringValue("a1") # choose the method that is valid for arrays
.stringValue("a2") # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.numberValue(1) # choose the method that is valid for arrays
.numberValue(2) # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.object() # now we work with an object
.stringValue("foo", "Foo") # choose the method that is valid for objects
.closeObject() # close the object and we're back in the array
.closeArray() # close the array
```
### The existing DSL is quite error-prone
Methods may only be called in certain states. For example `object()` may only be called when you're currently working on an array whereas `object(name)`
is only allowed to be called when working on an object. But both of the methods are available. You'll find out at runtime if you're using the correct method.
Finally, the need for opening and closing objects and arrays makes usage cumbersome.
The lambda DSL has no ambiguous methods and there's no need to close objects and arrays as all the work on such an object is wrapped in a lamda call.
### The existing DSL is hard to read
When formatting your source code with an IDE the code becomes hard to read as there's no indentation possible. Of course, you could do it by hand but we want auto formatting!
Auto formatting works great for the new DSL!
```java
array.object((o) -> {
o.stringValue("foo", "Foo"); # an attribute
o.stringValue("bar", "Bar"); # an attribute
o.object("tar", (tarObject) -> { # an attribute with a nested object
tarObject.stringValue("a", "A"); # attribute of the nested object
tarObject.stringValue("b", "B"); # attribute of the nested object
})
});
```
## Installation
### Maven
```
<dependency>
<groupId>au.com.dius</groupId>
<artifactId>pact-jvm-consumer-java8</artifactId>
<version>${pact.version}</version>
</dependency>
```
## Usage
Start with a static import of `LambdaDsl`. This class contains factory methods for the lambda dsl extension.
When you come accross the `body()` method of `PactDslWithProvider` builder start using the new extensions.
The call to `LambdaDsl` replaces the call to instance `new PactDslJsonArray()` and `new PactDslJsonBody()` of the pact library.
```java
io.pactfoundation.consumer.dsl.LambdaDsl.*
```
### Response body as json array
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonArray;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonArray((a) -> {
a.stringValue("a1");
a.stringValue("a2");
}).build());
```
### Response body as json object
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonBody;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build());
```
### Examples
#### Simple Json object
When creating simple json structures the difference between the two approaches isn't big.
##### JSON
```json
{
"bar": "Bar",
"foo": "Foo"
}
```
##### Pact DSL
```java
new PactDslJsonBody()
.stringValue("foo", "Foo")
.stringValue("bar", "Bar")
```
##### Lambda DSL
```java
newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build()
```
#### An array of arrays
When we come to more complex constructs with arrays and nested objects the beauty of lambdas become visible!
##### JSON
```json
[
["a1", "a2"],
[1, 2],
[{"foo": "Foo"}]
]
```
##### Pact DSL
```java
new PactDslJsonArray()
.array()
.stringValue("a1")
.stringValue("a2")
.closeArray()
.array()
.numberValue(1)
.numberValue(2)
.closeArray()
.array()
.object()
.stringValue("foo", "Foo")
.closeObject()
.closeArray()
```
##### Lambda DSL
```java
newJsonArray((rootArray) -> {
rootArray.array((a) -> a.stringValue("a1").stringValue("a2"));
rootArray.array((a) -> a.numberValue(1).numberValue(2));
rootArray.array((a) -> a.object((o) -> o.stringValue("foo", "Foo"));
}).build()
```
Group: au.com.dius Artifact: pact-jvm-consumer-java8_2.11
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Artifact pact-jvm-consumer-java8_2.11
Group au.com.dius
Version 3.5.24
Last update 04. November 2018
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 8
Dependencies kotlin-stdlib-jre8, kotlin-reflect, slf4j-api, groovy-all, kotlin-logging, scala-library, scala-logging_2.11, pact-jvm-consumer-junit_2.11,
There are maybe transitive dependencies!
Group au.com.dius
Version 3.5.24
Last update 04. November 2018
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 8
Dependencies kotlin-stdlib-jre8, kotlin-reflect, slf4j-api, groovy-all, kotlin-logging, scala-library, scala-logging_2.11, pact-jvm-consumer-junit_2.11,
There are maybe transitive dependencies!
java8 from group au.com.dius.pact.consumer (version 4.1.43)
# pact-jvm-consumer-java8
Provides a Java8 lambda based DSL for use with Junit to build consumer tests.
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius.pact.consumer`
* artifact-id = `java8`
* version-id = `4.1.x`
# A Lambda DSL for Pact
This is an extension for the pact DSL provided by [consumer](../consumer). The difference between
the default pact DSL and this lambda DSL is, as the name suggests, the usage of lambdas. The use of lambdas makes the code much cleaner.
## Why a new DSL implementation?
The lambda DSL solves the following two main issues. Both are visible in the following code sample:
```java
new PactDslJsonArray()
.array() # open an array
.stringValue("a1") # choose the method that is valid for arrays
.stringValue("a2") # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.numberValue(1) # choose the method that is valid for arrays
.numberValue(2) # choose the method that is valid for arrays
.closeArray() # close the array
.array() # open an array
.object() # now we work with an object
.stringValue("foo", "Foo") # choose the method that is valid for objects
.closeObject() # close the object and we're back in the array
.closeArray() # close the array
```
### The existing DSL is quite error-prone
Methods may only be called in certain states. For example `object()` may only be called when you're currently working on an array whereas `object(name)`
is only allowed to be called when working on an object. But both of the methods are available. You'll find out at runtime if you're using the correct method.
Finally, the need for opening and closing objects and arrays makes usage cumbersome.
The lambda DSL has no ambiguous methods and there's no need to close objects and arrays as all the work on such an object is wrapped in a lamda call.
### The existing DSL is hard to read
When formatting your source code with an IDE the code becomes hard to read as there's no indentation possible. Of course, you could do it by hand but we want auto formatting!
Auto formatting works great for the new DSL!
```java
array.object((o) -> {
o.stringValue("foo", "Foo"); # an attribute
o.stringValue("bar", "Bar"); # an attribute
o.object("tar", (tarObject) -> { # an attribute with a nested object
tarObject.stringValue("a", "A"); # attribute of the nested object
tarObject.stringValue("b", "B"); # attribute of the nested object
})
});
```
## Installation
### Maven
```
<dependency>
<groupId>au.com.dius.pact.consumer</groupId>
<artifactId>java8</artifactId>
<version>${pact.version}</version>
</dependency>
```
## Usage
Start with a static import of `LambdaDsl`. This class contains factory methods for the lambda dsl extension.
When you come accross the `body()` method of `PactDslWithProvider` builder start using the new extensions.
The call to `LambdaDsl` replaces the call to instance `new PactDslJsonArray()` and `new PactDslJsonBody()` of the pact library.
```java
io.pactfoundation.consumer.dsl.LambdaDsl.*
```
### Response body as json array
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonArray;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonArray((a) -> {
a.stringValue("a1");
a.stringValue("a2");
}).build());
```
### Response body as json object
```java
import static io.pactfoundation.consumer.dsl.LambdaDsl.newJsonBody;
...
PactDslWithProvider builder = ...
builder.given("some state")
.uponReceiving("a request")
.path("/my-app/my-service")
.method("GET")
.willRespondWith()
.status(200)
.body(newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build());
```
### Examples
#### Simple Json object
When creating simple json structures the difference between the two approaches isn't big.
##### JSON
```json
{
"bar": "Bar",
"foo": "Foo"
}
```
##### Pact DSL
```java
new PactDslJsonBody()
.stringValue("foo", "Foo")
.stringValue("bar", "Bar")
```
##### Lambda DSL
```java
newJsonBody((o) -> {
o.stringValue("foo", "Foo");
o.stringValue("bar", "Bar");
}).build();
```
#### An array of arrays
When we come to more complex constructs with arrays and nested objects the beauty of lambdas become visible!
##### JSON
```json
[
["a1", "a2"],
[1, 2],
[{"foo": "Foo"}]
]
```
##### Pact DSL
```java
new PactDslJsonArray()
.array()
.stringValue("a1")
.stringValue("a2")
.closeArray()
.array()
.numberValue(1)
.numberValue(2)
.closeArray()
.array()
.object()
.stringValue("foo", "Foo")
.closeObject()
.closeArray();
```
##### Lambda DSL
```java
newJsonArray((rootArray) -> {
rootArray.array((a) -> a.stringValue("a1").stringValue("a2"));
rootArray.array((a) -> a.numberValue(1).numberValue(2));
rootArray.array((a) -> a.object((o) -> o.stringValue("foo", "Foo")));
}).build();
```
##### Kotlin Lambda DSL
```kotlin
newJsonArray {
newArray {
stringValue("a1")
stringValue("a2")
}
newArray {
numberValue(1)
numberValue(2)
}
newArray {
newObject { stringValue("foo", "Foo") }
}
}
```
# Test Analytics
We are tracking anonymous analytics to gather important usage statistics like JVM version
and operating system. To disable tracking, set the 'pact_do_not_track' system property or environment
variable to 'true'.
0 downloads
Artifact java8
Group au.com.dius.pact.consumer
Version 4.1.43
Last update 12. July 2024
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 1
Dependencies consumer,
There are maybe transitive dependencies!
Group au.com.dius.pact.consumer
Version 4.1.43
Last update 12. July 2024
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 1
Dependencies consumer,
There are maybe transitive dependencies!
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