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jung-parent from group net.sf.jung (version 2.1.1)
JUNG the Java Universal Network/Graph Framework--is a software
library that provides a common and extendible language for the
modeling, analysis, and visualization of data that can be
represented as a graph or network. It is written in Java, which
allows JUNG-based applications to make use of the extensive
built-in capabilities of the Java API, as well as those of other
existing third-party Java libraries. The JUNG architecture is
designed to support a variety of representations of entities and
their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs.
It provides a mechanism for annotating graphs, entities, and
relations with metadata. This facilitates the creation of
analytic tools for complex data sets that can examine the
relations between entities as well as the metadata attached to
each entity and relation. The current distribution of JUNG
includes implementations of a number of algorithms from graph
theory, data mining, and social network analysis, such as
routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of
network distances, flows, and importance measures (centrality,
PageRank, HITS, etc.). JUNG also provides a visualization
framework that makes it easy to construct tools for the
interactive exploration of network data. Users can use one of
the layout algorithms provided, or use the framework to create
their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their
algorithms, on specific portions of the graph.
Group: net.sf.jung Artifact: jung-parent
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Artifact jung-parent
Group net.sf.jung
Version 2.1.1
Last update 07. September 2016
Organization not specified
URL http://jrtom.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group net.sf.jung
Version 2.1.1
Last update 07. September 2016
Organization not specified
URL http://jrtom.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
straightedge from group com.massisframework (version 0.8)
Includes 2 main parts:
- Path finding through 2D polygons using the A star algorithm and navigation-mesh generation
Field of vision / shadows / line of sight / lighting.
The basic polygon and point classes are the KPolygon and KPoint.
KPolygon contains a list of KPoints for vertices as well as a center (centroid), area, and radius (circular bound or distance from center to furthest point).
KPolygon was born out of the need for a more game-oriented and flexible polygon class than the Path2D class in the standard Java library. KPolygon implements java.awt.geom.Shape so it can be easily drawn and filled by Java2D's Graphics2D object.
- This API provides path-finding and field-of-vision. For other complex geometric operations such as buffering (fattening and shrinking) and constructive area geometry (intersections and unions) it is recommended to use the excellent Java Topology Suite (JTS). The standard Java2D library also provides the Area class which can be used for some constructive area geometry operations. Note that there is a utility class PolygonConverter that can quickly convert KPolygons to JTS polygons and vice versa.
Artifact straightedge
Group com.massisframework
Version 0.8
Last update 21. December 2015
Organization not specified
URL https://github.com/rpax/straightedge
License New BSD License
Dependencies amount 1
Dependencies jts,
There are maybe transitive dependencies!
Group com.massisframework
Version 0.8
Last update 21. December 2015
Organization not specified
URL https://github.com/rpax/straightedge
License New BSD License
Dependencies amount 1
Dependencies jts,
There are maybe transitive dependencies!
raceSearch from group nz.ac.waikato.cms.weka (version 1.0.2)
Races the cross validation error of competing attribute subsets. Use in conjuction with a ClassifierSubsetEval. RaceSearch has four modes:
forward selection races all single attribute additions to a base set (initially no attributes), selects the winner to become the new base set and then iterates until there is no improvement over the base set.
Backward elimination is similar but the initial base set has all attributes included and races all single attribute deletions.
Schemata search is a bit different. Each iteration a series of races are run in parallel. Each race in a set determines whether a particular attribute should be included or not---ie the race is between the attribute being "in" or "out". The other attributes for this race are included or excluded randomly at each point in the evaluation. As soon as one race has a clear winner (ie it has been decided whether a particular attribute should be inor not) then the next set of races begins, using the result of the winning race from the previous iteration as new base set.
Rank race first ranks the attributes using an attribute evaluator and then races the ranking. The race includes no attributes, the top ranked attribute, the top two attributes, the top three attributes, etc.
It is also possible to generate a raked list of attributes through the forward racing process. If generateRanking is set to true then a complete forward race will be run---that is, racing continues until all attributes have been selected. The order that they are added in determines a complete ranking of all the attributes.
Racing uses paired and unpaired t-tests on cross-validation errors of competing subsets. When there is a significant difference between the means of the errors of two competing subsets then the poorer of the two can be eliminated from the race. Similarly, if there is no significant difference between the mean errors of two competing subsets and they are within some threshold of each other, then one can be eliminated from the race.
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Artifact raceSearch
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/raceSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, classifierBasedAttributeSelection,
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/raceSearch
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, classifierBasedAttributeSelection,
There are maybe transitive dependencies!
jung2 from group net.sf.jung (version 2.0.1)
JUNG the Java Universal Network/Graph Framework--is a software
library that provides a common and extendible language for the
modeling, analysis, and visualization of data that can be
represented as a graph or network. It is written in Java, which
allows JUNG-based applications to make use of the extensive
built-in capabilities of the Java API, as well as those of other
existing third-party Java libraries. The JUNG architecture is
designed to support a variety of representations of entities and
their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs.
It provides a mechanism for annotating graphs, entities, and
relations with metadata. This facilitates the creation of
analytic tools for complex data sets that can examine the
relations between entities as well as the metadata attached to
each entity and relation. The current distribution of JUNG
includes implementations of a number of algorithms from graph
theory, data mining, and social network analysis, such as
routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of
network distances, flows, and importance measures (centrality,
PageRank, HITS, etc.). JUNG also provides a visualization
framework that makes it easy to construct tools for the
interactive exploration of network data. Users can use one of
the layout algorithms provided, or use the framework to create
their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their
algorithms, on specific portions of the graph.
Group: net.sf.jung Artifact: jung2
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Artifact jung2
Group net.sf.jung
Version 2.0.1
Last update 24. January 2010
Organization not specified
URL http://jung.sourceforge.net/site
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group net.sf.jung
Version 2.0.1
Last update 24. January 2010
Organization not specified
URL http://jung.sourceforge.net/site
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
InfoScope from group io.github.petrostick (version 1.1.0)
InfoScope Library: Simplifying Privacy Policy Display with WebView
The InfoScope Library is a versatile tool designed to enhance the seamless presentation of privacy policies through WebView integration. Privacy policies play a crucial role in maintaining transparency and trust between users and applications, and the InfoScope Library streamlines this process by offering a range of convenient features.
At its core, the library provides the SimpleAutoWebView, a WebView component equipped with fundamental settings for optimal privacy policy display. This WebView component is tailored to effortlessly load and present privacy policy content to users, ensuring a smooth and user-friendly experience.
To further enhance the functionality and customization options, the InfoScope Library includes two essential components: SimpleAutoWebViewClient and SimpleAutoWebChromeClient. These components enable developers to quickly establish and configure the basic WebView behavior and appearance.
The SimpleAutoWebViewClient is designed to facilitate the interaction between the WebView and the application. It streamlines the process of handling various events, such as page loading, error handling, and navigation. With this component, developers can swiftly create a WebViewClient that aligns with their application's requirements, promoting a consistent and intuitive user journey.
Complementing the WebView functionality, the SimpleAutoWebChromeClient focuses on managing the visual aspects of WebView content, including alert dialogs, JavaScript dialogs, and UI interactions. This component empowers developers to define the behavior and appearance of these elements, ensuring a polished and integrated presentation of the privacy policy content.
In summary, the InfoScope Library offers a comprehensive toolkit for developers to seamlessly integrate privacy policy display using WebView. By providing the SimpleAutoWebView, SimpleAutoWebViewClient, and SimpleAutoWebChromeClient components, the library enables swift development and easy customization, fostering transparency and trust between users and applications. Embrace the power of the InfoScope Library to elevate your privacy policy presentation and enhance your user experience.
Group: io.github.petrostick Artifact: InfoScope
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Artifact InfoScope
Group io.github.petrostick
Version 1.1.0
Last update 18. August 2023
Organization not specified
URL https://github.com/PetroStick/InfoScope
License MIT License
Dependencies amount 1
Dependencies kotlin-stdlib-jdk8,
There are maybe transitive dependencies!
Group io.github.petrostick
Version 1.1.0
Last update 18. August 2023
Organization not specified
URL https://github.com/PetroStick/InfoScope
License MIT License
Dependencies amount 1
Dependencies kotlin-stdlib-jdk8,
There are maybe transitive dependencies!
chips-n-salsa from group org.cicirello (version 6.4.0)
Chips-n-Salsa is a Java library of customizable,
hybridizable, iterative, parallel, stochastic, and self-adaptive
local search algorithms. The library includes implementations of
several stochastic local search algorithms, including simulated
annealing, hill climbers, as well as constructive search algorithms
such as stochastic sampling. Chips-n-Salsa now also includes genetic
algorithms as well as evolutionary algorithms more generally. The
library very extensively supports simulated annealing. It includes
several classes for representing solutions to a variety of optimization
problems. For example, the library includes a BitVector class that
implements vectors of bits, as well as classes for representing
solutions to problems where we are searching for an optimal vector
of integers or reals. For each of the built-in representations, the
library provides the most common mutation operators for generating
random neighbors of candidate solutions, as well as common crossover
operators for use with evolutionary algorithms. Additionally, the
library provides extensive support for permutation optimization
problems, including implementations of many different mutation
operators for permutations, and utilizing the efficiently implemented
Permutation class of the JavaPermutationTools (JPT) library.
Chips-n-Salsa is customizable, making extensive use of Java's generic
types, enabling using the library to optimize other types of representations
beyond what is provided in the library. It is hybridizable, providing
support for integrating multiple forms of local search (e.g., using a hill
climber on a solution generated by simulated annealing), creating hybrid
mutation operators (e.g., local search using multiple mutation operators),
as well as support for running more than one type of search for the same
problem concurrently using multiple threads as a form of algorithm portfolio.
Chips-n-Salsa is iterative, with support for multistart metaheuristics,
including implementations of several restart schedules for varying the run
lengths across the restarts. It also supports parallel execution of multiple
instances of the same, or different, stochastic local search algorithms for
an instance of a problem to accelerate the search process. The library
supports self-adaptive search in a variety of ways, such as including
implementations of adaptive annealing schedules for simulated annealing,
such as the Modified Lam schedule, implementations of the simpler annealing
schedules but which self-tune the initial temperature and other parameters,
and restart schedules that adapt to run length.
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Artifact chips-n-salsa
Group org.cicirello
Version 6.4.0
Last update 28. July 2023
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
Group org.cicirello
Version 6.4.0
Last update 28. July 2023
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
commons-crypto from group org.apache.commons (version 1.2.0)
Apache Commons Crypto is a cryptographic library optimized with AES-NI (Advanced Encryption
Standard New Instructions). It provides Java API for both cipher level and Java stream level.
Developers can use it to implement high performance AES encryption/decryption with the minimum
code and effort. Please note that Crypto doesn't implement the cryptographic algorithm such as
AES directly. It wraps to OpenSSL or JCE which implement the algorithms.
Features
--------
1. Cipher API for low level cryptographic operations.
2. Java stream API (CryptoInputStream/CryptoOutputStream) for high level stream encryption/decryption.
3. Both optimized with high performance AES encryption/decryption. (1400 MB/s - 1700 MB/s throughput in modern Xeon processors).
4. JNI-based implementation to achieve comparable performance to the native C/C++ version based on OpenSsl.
5. Portable across various operating systems (currently only Linux/MacOSX/Windows);
Apache Commons Crypto loads the library according to your machine environment (it checks system properties, `os.name` and `os.arch`).
6. Simple usage. Add the commons-crypto-(version).jar file to your classpath.
Export restrictions
-------------------
This distribution includes cryptographic software.
The country in which you currently reside may have restrictions
on the import, possession, use, and/or re-export to another country,
of encryption software. BEFORE using any encryption software,
please check your country's laws, regulations and policies
concerning the import, possession, or use, and re-export of
encryption software, to see if this is permitted.
See <http://www.wassenaar.org/> for more information.
The U.S. Government Department of Commerce, Bureau of Industry and Security (BIS),
has classified this software as Export Commodity Control Number (ECCN) 5D002.C.1,
which includes information security software using or performing
cryptographic functions with asymmetric algorithms.
The form and manner of this Apache Software Foundation distribution makes
it eligible for export under the License Exception
ENC Technology Software Unrestricted (TSU) exception
(see the BIS Export Administration Regulations, Section 740.13)
for both object code and source code.
The following provides more details on the included cryptographic software:
* Commons Crypto use [Java Cryptography Extension](http://docs.oracle.com/javase/8/docs/technotes/guides/security/crypto/CryptoSpec.html) provided by Java
* Commons Crypto link to and use [OpenSSL](https://www.openssl.org/) ciphers
74 downloads
Artifact commons-crypto
Group org.apache.commons
Version 1.2.0
Last update 14. January 2023
Organization not specified
URL https://commons.apache.org/proper/commons-crypto/
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jna,
There are maybe transitive dependencies!
Group org.apache.commons
Version 1.2.0
Last update 14. January 2023
Organization not specified
URL https://commons.apache.org/proper/commons-crypto/
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jna,
There are maybe transitive dependencies!
pact-jvm-consumer-groovy_2.10 from group au.com.dius (version 2.4.20)
pact-jvm-consumer-groovy
=========================
Groovy DSL for Pact JVM
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius`
* artifact-id = `pact-jvm-consumer-groovy_2.11`
* version-id = `2.4.x` or `3.2.x`
## Usage
Add the `pact-jvm-consumer-groovy` library to your test class path. This provides a `PactBuilder` class for you to use
to define your pacts. For a full example, have a look at the example JUnit `ExampleGroovyConsumerPactTest`.
If you are using gradle for your build, add it to your `build.gradle`:
dependencies {
testCompile 'au.com.dius:pact-jvm-consumer-groovy_2.11:3.2.14'
}
Then create an instance of the `PactBuilder` in your test.
```groovy
@Test
void "A service consumer side of a pact goes a little something like this"() {
def alice_service = new PactBuilder() // Create a new PactBuilder
alice_service {
serviceConsumer "Consumer" // Define the service consumer by name
hasPactWith "Alice Service" // Define the service provider that it has a pact with
port 1234 // The port number for the service. It is optional, leave it out to
// to use a random one
given('there is some good mallory') // defines a provider state. It is optional.
uponReceiving('a retrieve Mallory request') // upon_receiving starts a new interaction
withAttributes(method: 'get', path: '/mallory') // define the request, a GET request to '/mallory'
willRespondWith( // define the response we want returned
status: 200,
headers: ['Content-Type': 'text/html'],
body: '"That is some good Mallory."'
)
}
// Execute the run method to have the mock server run.
// It takes a closure to execute your requests and returns a Pact VerificationResult.
VerificationResult result = alice_service.run() {
def client = new RESTClient('http://localhost:1234/')
def alice_response = client.get(path: '/mallory')
assert alice_response.status == 200
assert alice_response.contentType == 'text/html'
def data = alice_response.data.text()
assert data == '"That is some good Mallory."'
}
assert result == PactVerified$.MODULE$ // This means it is all good in weird Scala speak.
}
```
After running this test, the following pact file is produced:
{
"provider" : {
"name" : "Alice Service"
},
"consumer" : {
"name" : "Consumer"
},
"interactions" : [ {
"provider_state" : "there is some good mallory",
"description" : "a retrieve Mallory request",
"request" : {
"method" : "get",
"path" : "/mallory",
"requestMatchers" : { }
},
"response" : {
"status" : 200,
"headers" : {
"Content-Type" : "text/html"
},
"body" : "That is some good Mallory.",
"responseMatchers" : { }
}
} ]
}
### DSL Methods
#### serviceConsumer(String consumer)
This names the service consumer for the pact.
#### hasPactWith(String provider)
This names the service provider for the pact.
#### port(int port)
Sets the port that the mock server will run on. If not supplied, a random port will be used.
#### given(String providerState)
Defines a state that the provider needs to be in for the request to succeed. For more info, see
https://github.com/realestate-com-au/pact/wiki/Provider-states
#### uponReceiving(String requestDescription)
Starts the definition of a of a pact interaction.
#### withAttributes(Map requestData)
Defines the request for the interaction. The request data map can contain the following:
| key | Description | Default Value |
|----------------------------|-------------------------------------------|-----------------------------|
| method | The HTTP method to use | get |
| path | The Path for the request | / |
| query | Query parameters as a Map<String, List> | |
| headers | Map of key-value pairs for the request headers | |
| body | The body of the request. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | |
| prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies below |
For the path, header attributes and query parameters (version 2.2.2+ for headers, 3.3.7+ for query parameters),
you can use regular expressions to match. You can either provide a regex `Pattern` class or use the `regexp` method
to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below).
If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the
regular expression. This value is used when generating requests.
For example:
```groovy
.withAttributes(path: ~'/transaction/[0-9]+') // This will generate a random path for requests
// or
.withAttributes(path: regexp('/transaction/[0-9]+', '/transaction/1234567890'))
```
#### withBody(Closure closure)
Constructs the body of the request or response by invoking the supplied closure in the context of a PactBodyBuilder.
##### Pretty Printed Bodies [Version 2.2.15+, 3.0.4+]
An optional Map can be supplied to control how the body is generated. The option values are available:
| Option | Description |
|--------|-------------|
| mimeType | The mime type of the body. Defaults to `application/json` |
| prettyPrint | Boolean value controlling whether to pretty-print the body or not. Defaults to true |
If the prettyPrint option is not specified, the bodies will be pretty printed unless the mime type corresponds to one
that requires compact bodies. Currently only `application/x-thrift+json` is classed as requiring a compact body.
For an example of turning off pretty printing:
```groovy
service {
uponReceiving('a request')
withAttributes(method: 'get', path: '/')
withBody(prettyPrint: false) {
name 'harry'
surname 'larry'
}
}
```
#### willRespondWith(Map responseData)
Defines the response for the interaction. The response data map can contain the following:
| key | Description | Default Value |
|----------------------------|-------------------------------------------|-----------------------------|
| status | The HTTP status code to return | 200 |
| headers | Map of key-value pairs for the response headers | |
| body | The body of the response. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | |
| prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies above |
For the headers (version 2.2.2+), you can use regular expressions to match. You can either provide a regex `Pattern` class or use
the `regexp` method to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below).
If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the
regular expression. This value is used when generating responses.
For example:
```groovy
.willRespondWith(headers: [LOCATION: ~'/transaction/[0-9]+']) // This will generate a random location value
// or
.willRespondWith(headers: [LOCATION: regexp('/transaction/[0-9]+', '/transaction/1234567890')])
```
#### VerificationResult run(Closure closure)
The `run` method starts the mock server, and then executes the provided closure. It then returns the pact verification
result for the pact run. If you require access to the mock server configuration for the URL, it is passed into the
closure, e.g.,
```groovy
VerificationResult result = alice_service.run() { config ->
def client = new RESTClient(config.url())
def alice_response = client.get(path: '/mallory')
}
```
### Body DSL
For building JSON bodies there is a `PactBodyBuilder` that provides as DSL that includes matching with regular expressions
and by types. For a more complete example look at `PactBodyBuilderTest`.
For an example:
```groovy
service {
uponReceiving('a request')
withAttributes(method: 'get', path: '/')
withBody {
name(~/\w+/, 'harry')
surname regexp(~/\w+/, 'larry')
position regexp(~/staff|contractor/, 'staff')
happy(true)
}
}
```
This will return the following body:
```json
{
"name": "harry",
"surname": "larry",
"position": "staff",
"happy": true
}
```
and add the following matchers:
```json
{
"$.body.name": {"regex": "\\w+"},
"$.body.surname": {"regex": "\\w+"},
"$.body.position": {"regex": "staff|contractor"}
}
```
#### DSL Methods
The DSL supports the following matching methods:
* regexp(Pattern re, String value = null), regexp(String regexp, String value = null)
Defines a regular expression matcher. If the value is not provided, a random one will be generated.
* hexValue(String value = null)
Defines a matcher that accepts hexidecimal values. If the value is not provided, a random hexidcimal value will be
generated.
* identifier(def value = null)
Defines a matcher that accepts integer values. If the value is not provided, a random value will be generated.
* ipAddress(String value = null)
Defines a matcher that accepts IP addresses. If the value is not provided, a 127.0.0.1 will be used.
* numeric(Number value = null)
Defines a matcher that accepts any numerical values. If the value is not provided, a random integer will be used.
* integer(def value = null)
Defines a matcher that accepts any integer values. If the value is not provided, a random integer will be used.
* real(def value = null)
Defines a matcher that accepts any real numbers. If the value is not provided, a random double will be used.
* timestamp(String pattern = null, def value = null)
If pattern is not provided the ISO_DATETIME_FORMAT is used ("yyyy-MM-dd'T'HH:mm:ss") . If the value is not provided, the current date and time is used.
* time(String pattern = null, def value = null)
If pattern is not provided the ISO_TIME_FORMAT is used ("'T'HH:mm:ss") . If the value is not provided, the current date and time is used.
* date(String pattern = null, def value = null)
If pattern is not provided the ISO_DATE_FORMAT is used ("yyyy-MM-dd") . If the value is not provided, the current date and time is used.
* uuid(String value = null)
Defines a matcher that accepts UUIDs. A random one will be generated if no value is provided.
#### What if a field matches a matcher name in the DSL?
When using the body DSL, if there is a field that matches a matcher name (e.g. a field named 'date') then you can do the following:
```groovy
withBody {
date = date()
}
```
### Ensuring all items in a list match an example (2.2.0+)
Lots of the time you might not know the number of items that will be in a list, but you want to ensure that the list
has a minimum or maximum size and that each item in the list matches a given example. You can do this with the `eachLike`,
`minLike` and `maxLike` functions.
| function | description |
|----------|-------------|
| `eachLike()` | Ensure that each item in the list matches the provided example |
| `maxLike(integer max)` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `minLike(integer min)` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```groovy
withBody {
users minLike(1) {
id identifier
name string('Fred')
}
}
```
This will ensure that the user list is never empty and that each user has an identifier that is a number and a name that is a string.
__Version 3.2.4/2.4.6+__ You can specify the number of example items to generate in the array. The default is 1.
```groovy
withBody {
users minLike(1, 3) {
id identifier
name string('Fred')
}
}
```
This will create an example user list with 3 users.
__Version 3.2.13/2.4.14+__ The each like matchers have been updated to work with primitive types.
```groovy
withBody {
permissions eachLike(3, 'GRANT')
}
```
will generate the following JSON
```json
{
"permissions": ["GRANT", "GRANT", "GRANT"]
}
```
and matchers
```json
{
"$.body.permissions": {"match": "type"}
}
```
and now you can even get more fancy
```groovy
withBody {
permissions eachLike(3, regexp(~/\w+/))
permissions2 minLike(2, 3, integer())
permissions3 maxLike(4, 3, ~/\d+/)
}
```
### Matching any key in a map (3.3.1/2.5.0+)
The DSL has been extended for cases where the keys in a map are IDs. For an example of this, see
[#313](https://github.com/DiUS/pact-jvm/issues/131). In this case you can use the `keyLike` method, which takes an
example key as a parameter.
For example:
```groovy
withBody {
example {
one {
keyLike '001', 'value' // key like an id mapped to a value
}
two {
keyLike 'ABC001', regexp('\\w+') // key like an id mapped to a matcher
}
three {
keyLike 'XYZ001', { // key like an id mapped to a closure
id identifier()
}
}
four {
keyLike '001XYZ', eachLike { // key like an id mapped to an array where each item is matched by the following
id identifier() // example
}
}
}
}
```
For an example, have a look at [WildcardPactSpec](src/test/au/com/dius/pact/consumer/groovy/WildcardPactSpec.groovy).
**NOTE:** The `keyLike` method adds a `*` to the matching path, so the matching definition will be applied to all keys
of the map if there is not a more specific matcher defined for a particular key. Having more than one `keyLike` condition
applied to a map will result in only one being applied when the pact is verified (probably the last).
## Changing the directory pact files are written to (2.1.9+)
By default, pact files are written to `target/pacts`, but this can be overwritten with the `pact.rootDir` system property.
This property needs to be set on the test JVM as most build tools will fork a new JVM to run the tests.
For Gradle, add this to your build.gradle:
```groovy
test {
systemProperties['pact.rootDir'] = "$buildDir/pacts"
}
```
# Publishing your pact files to a pact broker
If you use Gradle, you can use the [pact Gradle plugin](https://github.com/DiUS/pact-jvm/tree/master/pact-jvm-provider-gradle#publishing-pact-files-to-a-pact-broker) to publish your pact files.
# Pact Specification V3
Version 3 of the pact specification changes the format of pact files in the following ways:
* Query parameters are stored in a map form and are un-encoded (see [#66](https://github.com/DiUS/pact-jvm/issues/66)
and [#97](https://github.com/DiUS/pact-jvm/issues/97) for information on what this can cause).
* Introduces a new message pact format for testing interactions via a message queue.
## Generating V3 spec pact files (3.1.0+, 2.3.0+)
To have your consumer tests generate V3 format pacts, you can pass an option into the `run` method. For example:
```groovy
VerificationResult result = service.run(specificationVersion: PactSpecVersion.V3) { config ->
def client = new RESTClient(config.url())
def response = client.get(path: '/')
}
```
## Consumer test for a message consumer
For testing a consumer of messages from a message queue, the `PactMessageBuilder` class provides a DSL for defining
your message expectations. It works in much the same way as the `PactBuilder` class for Request-Response interactions,
but will generate a V3 format message pact file.
The following steps demonstrate how to use it.
### Step 1 - define the message expectations
Create a test that uses the `PactMessageBuilder` to define a message expectation, and then call `run`. This will invoke
the given closure with a message for each one defined in the pact.
```groovy
def eventStream = new PactMessageBuilder().call {
serviceConsumer 'messageConsumer'
hasPactWith 'messageProducer'
given 'order with id 10000004 exists'
expectsToReceive 'an order confirmation message'
withMetaData(type: 'OrderConfirmed') // Can define any key-value pairs here
withContent(contentType: 'application/json') {
type 'OrderConfirmed'
audit {
userCode 'messageService'
}
origin 'message-service'
referenceId '10000004-2'
timeSent: '2015-07-22T10:14:28+00:00'
value {
orderId '10000004'
value '10.000000'
fee '10.00'
gst '15.00'
}
}
}
```
### Step 2 - call your message handler with the generated messages
This example tests a message handler that gets messages from a Kafka topic. In this case the Pact message is wrapped
as a Kafka `MessageAndMetadata`.
```groovy
eventStream.run { Message message ->
messageHandler.handleMessage(new MessageAndMetadata('topic', 1,
new kafka.message.Message(message.contentsAsBytes()), 0, null, valueDecoder))
}
```
### Step 3 - validate that the message was handled correctly
```groovy
def order = orderRepository.getOrder('10000004')
assert order.status == 'confirmed'
assert order.value == 10.0
```
### Step 4 - Publish the pact file
If the test was successful, a pact file would have been produced with the message from step 1.
Group: au.com.dius Artifact: pact-jvm-consumer-groovy_2.10
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URL https://github.com/DiUS/pact-jvm
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Dependencies slf4j-api, scala-library, pact-jvm-consumer_2.10, groovy-all,
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Group au.com.dius
Version 2.4.20
Last update 14. April 2018
Organization not specified
URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 4
Dependencies slf4j-api, scala-library, pact-jvm-consumer_2.10, groovy-all,
There are maybe transitive dependencies!
pact-jvm-consumer-groovy_2.12 from group au.com.dius (version 3.6.15)
pact-jvm-consumer-groovy
=========================
Groovy DSL for Pact JVM
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius`
* artifact-id = `pact-jvm-consumer-groovy_2.11`
* version-id = `3.5.x`
## Usage
Add the `pact-jvm-consumer-groovy` library to your test class path. This provides a `PactBuilder` class for you to use
to define your pacts. For a full example, have a look at the example JUnit `ExampleGroovyConsumerPactTest`.
If you are using gradle for your build, add it to your `build.gradle`:
dependencies {
testCompile 'au.com.dius:pact-jvm-consumer-groovy_2.11:3.5.0'
}
Then create an instance of the `PactBuilder` in your test.
```groovy
import au.com.dius.pact.consumer.PactVerificationResult
import au.com.dius.pact.consumer.groovy.PactBuilder
import groovyx.net.http.RESTClient
import org.junit.Test
class AliceServiceConsumerPactTest {
@Test
void "A service consumer side of a pact goes a little something like this"() {
def alice_service = new PactBuilder() // Create a new PactBuilder
alice_service {
serviceConsumer "Consumer" // Define the service consumer by name
hasPactWith "Alice Service" // Define the service provider that it has a pact with
port 1234 // The port number for the service. It is optional, leave it out to
// to use a random one
given('there is some good mallory') // defines a provider state. It is optional.
uponReceiving('a retrieve Mallory request') // upon_receiving starts a new interaction
withAttributes(method: 'get', path: '/mallory') // define the request, a GET request to '/mallory'
willRespondWith( // define the response we want returned
status: 200,
headers: ['Content-Type': 'text/html'],
body: '"That is some good Mallory."'
)
}
// Execute the run method to have the mock server run.
// It takes a closure to execute your requests and returns a PactVerificationResult.
PactVerificationResult result = alice_service.runTest {
def client = new RESTClient('http://localhost:1234/')
def alice_response = client.get(path: '/mallory')
assert alice_response.status == 200
assert alice_response.contentType == 'text/html'
def data = alice_response.data.text()
assert data == '"That is some good Mallory."'
}
assert result == PactVerificationResult.Ok.INSTANCE // This means it is all good
}
}
```
After running this test, the following pact file is produced:
{
"provider" : {
"name" : "Alice Service"
},
"consumer" : {
"name" : "Consumer"
},
"interactions" : [ {
"provider_state" : "there is some good mallory",
"description" : "a retrieve Mallory request",
"request" : {
"method" : "get",
"path" : "/mallory",
"requestMatchers" : { }
},
"response" : {
"status" : 200,
"headers" : {
"Content-Type" : "text/html"
},
"body" : "That is some good Mallory.",
"responseMatchers" : { }
}
} ]
}
### DSL Methods
#### serviceConsumer(String consumer)
This names the service consumer for the pact.
#### hasPactWith(String provider)
This names the service provider for the pact.
#### port(int port)
Sets the port that the mock server will run on. If not supplied, a random port will be used.
#### given(String providerState)
Defines a state that the provider needs to be in for the request to succeed. For more info, see
https://github.com/realestate-com-au/pact/wiki/Provider-states. Can be called multiple times.
#### given(String providerState, Map params)
Defines a state that the provider needs to be in for the request to succeed. For more info, see
https://github.com/realestate-com-au/pact/wiki/Provider-states. Can be called multiple times, and the params
map can contain the data required for the state.
#### uponReceiving(String requestDescription)
Starts the definition of a of a pact interaction.
#### withAttributes(Map requestData)
Defines the request for the interaction. The request data map can contain the following:
| key | Description | Default Value |
|----------------------------|-------------------------------------------|-----------------------------|
| method | The HTTP method to use | get |
| path | The Path for the request | / |
| query | Query parameters as a Map<String, List> | |
| headers | Map of key-value pairs for the request headers | |
| body | The body of the request. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | |
| prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies below |
For the path, header attributes and query parameters (version 2.2.2+ for headers, 3.3.7+ for query parameters),
you can use regular expressions to match. You can either provide a regex `Pattern` class or use the `regexp` method
to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below).
If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the
regular expression. This value is used when generating requests.
For example:
```groovy
.withAttributes(path: ~'/transaction/[0-9]+') // This will generate a random path for requests
// or
.withAttributes(path: regexp('/transaction/[0-9]+', '/transaction/1234567890'))
```
#### withBody(Closure closure)
Constructs the body of the request or response by invoking the supplied closure in the context of a PactBodyBuilder.
##### Pretty Printed Bodies [Version 2.2.15+, 3.0.4+]
An optional Map can be supplied to control how the body is generated. The option values are available:
| Option | Description |
|--------|-------------|
| mimeType | The mime type of the body. Defaults to `application/json` |
| prettyPrint | Boolean value controlling whether to pretty-print the body or not. Defaults to true |
If the prettyPrint option is not specified, the bodies will be pretty printed unless the mime type corresponds to one
that requires compact bodies. Currently only `application/x-thrift+json` is classed as requiring a compact body.
For an example of turning off pretty printing:
```groovy
service {
uponReceiving('a request')
withAttributes(method: 'get', path: '/')
withBody(prettyPrint: false) {
name 'harry'
surname 'larry'
}
}
```
#### willRespondWith(Map responseData)
Defines the response for the interaction. The response data map can contain the following:
| key | Description | Default Value |
|----------------------------|-------------------------------------------|-----------------------------|
| status | The HTTP status code to return | 200 |
| headers | Map of key-value pairs for the response headers | |
| body | The body of the response. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | |
| prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies above |
For the headers (version 2.2.2+), you can use regular expressions to match. You can either provide a regex `Pattern` class or use
the `regexp` method to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below).
If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the
regular expression. This value is used when generating responses.
For example:
```groovy
.willRespondWith(headers: [LOCATION: ~'/transaction/[0-9]+']) // This will generate a random location value
// or
.willRespondWith(headers: [LOCATION: regexp('/transaction/[0-9]+', '/transaction/1234567890')])
```
#### PactVerificationResult runTest(Closure closure)
The `runTest` method starts the mock server, and then executes the provided closure. It then returns the pact verification
result for the pact run. If you require access to the mock server configuration for the URL, it is passed into the
closure, e.g.,
```groovy
PactVerificationResult result = alice_service.runTest() { mockServer ->
def client = new RESTClient(mockServer.url)
def alice_response = client.get(path: '/mallory')
}
```
### Note on HTTP clients and persistent connections
Some HTTP clients may keep the connection open, based on the live connections settings or if they use a connection cache. This could
cause your tests to fail if the client you are testing lives longer than an individual test, as the mock server will be started
and shutdown for each test. This will result in the HTTP client connection cache having invalid connections. For an example of this where
the there was a failure for every second test, see [Issue #342](https://github.com/DiUS/pact-jvm/issues/342).
### Body DSL
For building JSON bodies there is a `PactBodyBuilder` that provides as DSL that includes matching with regular expressions
and by types. For a more complete example look at `PactBodyBuilderTest`.
For an example:
```groovy
service {
uponReceiving('a request')
withAttributes(method: 'get', path: '/')
withBody {
name(~/\w+/, 'harry')
surname regexp(~/\w+/, 'larry')
position regexp(~/staff|contractor/, 'staff')
happy(true)
}
}
```
This will return the following body:
```json
{
"name": "harry",
"surname": "larry",
"position": "staff",
"happy": true
}
```
and add the following matchers:
```json
{
"$.body.name": {"regex": "\\w+"},
"$.body.surname": {"regex": "\\w+"},
"$.body.position": {"regex": "staff|contractor"}
}
```
#### DSL Methods
The DSL supports the following matching methods:
* regexp(Pattern re, String value = null), regexp(String regexp, String value = null)
Defines a regular expression matcher. If the value is not provided, a random one will be generated.
* hexValue(String value = null)
Defines a matcher that accepts hexidecimal values. If the value is not provided, a random hexidcimal value will be
generated.
* identifier(def value = null)
Defines a matcher that accepts integer values. If the value is not provided, a random value will be generated.
* ipAddress(String value = null)
Defines a matcher that accepts IP addresses. If the value is not provided, a 127.0.0.1 will be used.
* numeric(Number value = null)
Defines a matcher that accepts any numerical values. If the value is not provided, a random integer will be used.
* integer(def value = null)
Defines a matcher that accepts any integer values. If the value is not provided, a random integer will be used.
* decimal(def value = null)
Defines a matcher that accepts any decimal numbers. If the value is not provided, a random decimal will be used.
* timestamp(String pattern = null, def value = null)
If pattern is not provided the ISO_DATETIME_FORMAT is used ("yyyy-MM-dd'T'HH:mm:ss") . If the value is not provided, the current date and time is used.
* time(String pattern = null, def value = null)
If pattern is not provided the ISO_TIME_FORMAT is used ("'T'HH:mm:ss") . If the value is not provided, the current date and time is used.
* date(String pattern = null, def value = null)
If pattern is not provided the ISO_DATE_FORMAT is used ("yyyy-MM-dd") . If the value is not provided, the current date and time is used.
* uuid(String value = null)
Defines a matcher that accepts UUIDs. A random one will be generated if no value is provided.
* equalTo(def value)
Defines an equality matcher that always matches the provided value using `equals`. This is useful for resetting cascading
type matchers.
* includesStr(def value)
Defines a matcher that accepts any value where its string form includes the provided string.
* nullValue()
Defines a matcher that accepts only null values.
* url(String basePath, Object... pathFragments)
Defines a matcher for URLs, given the base URL path and a sequence of path fragments. The path fragments could be
strings or regular expression matchers. For example:
```groovy
url('http://localhost:8080', 'pacticipants', regexp('[^\\/]+', 'Activity%20Service'))
```
Defines a matcher that accepts only null values.
#### What if a field matches a matcher name in the DSL?
When using the body DSL, if there is a field that matches a matcher name (e.g. a field named 'date') then you can do the following:
```groovy
withBody {
date = date()
}
```
### Ensuring all items in a list match an example (2.2.0+)
Lots of the time you might not know the number of items that will be in a list, but you want to ensure that the list
has a minimum or maximum size and that each item in the list matches a given example. You can do this with the `eachLike`,
`minLike` and `maxLike` functions.
| function | description |
|----------|-------------|
| `eachLike()` | Ensure that each item in the list matches the provided example |
| `maxLike(integer max)` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `minLike(integer min)` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```groovy
withBody {
users minLike(1) {
id identifier
name string('Fred')
}
}
```
This will ensure that the user list is never empty and that each user has an identifier that is a number and a name that is a string.
__Version 3.2.4/2.4.6+__ You can specify the number of example items to generate in the array. The default is 1.
```groovy
withBody {
users minLike(1, 3) {
id identifier
name string('Fred')
}
}
```
This will create an example user list with 3 users.
__Version 3.2.13/2.4.14+__ The each like matchers have been updated to work with primitive types.
```groovy
withBody {
permissions eachLike(3, 'GRANT')
}
```
will generate the following JSON
```json
{
"permissions": ["GRANT", "GRANT", "GRANT"]
}
```
and matchers
```json
{
"$.body.permissions": {"match": "type"}
}
```
and now you can even get more fancy
```groovy
withBody {
permissions eachLike(3, regexp(~/\w+/))
permissions2 minLike(2, 3, integer())
permissions3 maxLike(4, 3, ~/\d+/)
}
```
You can also match arrays at the root level, for instance,
```groovy
withBody PactBodyBuilder.eachLike(regexp(~/\w+/))
```
or if you have arrays of arrays
```groovy
withBody PactBodyBuilder.eachLike([ regexp('[0-9a-f]{8}', 'e8cda07e'), regexp(~/\w+/, 'sony') ])
```
__Version 3.5.9+__ A `eachArrayLike` method has been added to handle matching of arrays of arrays.
```groovy
{
answers minLike(1) {
questionId string("books")
answer eachArrayLike {
questionId string("title")
answer string("BBBB")
}
}
```
This will generate an array of arrays for the `answer` attribute.
### Matching any key in a map (3.3.1/2.5.0+)
The DSL has been extended for cases where the keys in a map are IDs. For an example of this, see
[#313](https://github.com/DiUS/pact-jvm/issues/313). In this case you can use the `keyLike` method, which takes an
example key as a parameter.
For example:
```groovy
withBody {
example {
one {
keyLike '001', 'value' // key like an id mapped to a value
}
two {
keyLike 'ABC001', regexp('\\w+') // key like an id mapped to a matcher
}
three {
keyLike 'XYZ001', { // key like an id mapped to a closure
id identifier()
}
}
four {
keyLike '001XYZ', eachLike { // key like an id mapped to an array where each item is matched by the following
id identifier() // example
}
}
}
}
```
For an example, have a look at [WildcardPactSpec](src/test/au/com/dius/pact/consumer/groovy/WildcardPactSpec.groovy).
**NOTE:** The `keyLike` method adds a `*` to the matching path, so the matching definition will be applied to all keys
of the map if there is not a more specific matcher defined for a particular key. Having more than one `keyLike` condition
applied to a map will result in only one being applied when the pact is verified (probably the last).
**Further Note: From version 3.5.22 onwards pacts with wildcards applied to map keys will require the Java system property
"pact.matching.wildcard" set to value "true" when the pact file is verified.**
### Matching with an OR (3.5.0+)
The V3 spec allows multiple matchers to be combined using either AND or OR for a value. The main use of this would be to
either be able to match a value or a null, or to combine different matchers.
For example:
```groovy
withBody {
valueA and('AB', includeStr('A'), includeStr('B')) // valueA must include both A and B
valueB or('100', regex(~/\d+/), nullValue()) // valueB must either match a regular expression or be null
valueC or('12345678', regex(~/\d{8}/), regex(~/X\d{13}/)) // valueC must match either 8 or X followed by 13 digits
}
```
## Changing the directory pact files are written to (2.1.9+)
By default, pact files are written to `target/pacts` (or `build/pacts` if you use Gradle), but this can be overwritten with the `pact.rootDir` system property.
This property needs to be set on the test JVM as most build tools will fork a new JVM to run the tests.
For Gradle, add this to your build.gradle:
```groovy
test {
systemProperties['pact.rootDir'] = "$buildDir/custom-pacts-directory"
}
```
## Forcing pact files to be overwritten (3.6.5+)
By default, when the pact file is written, it will be merged with any existing pact file. To force the file to be
overwritten, set the Java system property `pact.writer.overwrite` to `true`.
# Publishing your pact files to a pact broker
If you use Gradle, you can use the [pact Gradle plugin](https://github.com/DiUS/pact-jvm/tree/master/provider/pact-jvm-provider-gradle#publishing-pact-files-to-a-pact-broker) to publish your pact files.
# Pact Specification V3
Version 3 of the pact specification changes the format of pact files in the following ways:
* Query parameters are stored in a map form and are un-encoded (see [#66](https://github.com/DiUS/pact-jvm/issues/66)
and [#97](https://github.com/DiUS/pact-jvm/issues/97) for information on what this can cause).
* Introduces a new message pact format for testing interactions via a message queue.
* Multiple provider states can be defined with data parameters.
## Generating V3 spec pact files (3.1.0+, 2.3.0+)
To have your consumer tests generate V3 format pacts, you can pass an option into the `runTest` method. For example:
```groovy
PactVerificationResult result = service.runTest(specificationVersion: PactSpecVersion.V3) { config ->
def client = new RESTClient(config.url)
def response = client.get(path: '/')
}
```
## Consumer test for a message consumer
For testing a consumer of messages from a message queue, the `PactMessageBuilder` class provides a DSL for defining
your message expectations. It works in much the same way as the `PactBuilder` class for Request-Response interactions,
but will generate a V3 format message pact file.
The following steps demonstrate how to use it.
### Step 1 - define the message expectations
Create a test that uses the `PactMessageBuilder` to define a message expectation, and then call `run`. This will invoke
the given closure with a message for each one defined in the pact.
```groovy
def eventStream = new PactMessageBuilder().call {
serviceConsumer 'messageConsumer'
hasPactWith 'messageProducer'
given 'order with id 10000004 exists'
expectsToReceive 'an order confirmation message'
withMetaData(type: 'OrderConfirmed') // Can define any key-value pairs here
withContent(contentType: 'application/json') {
type 'OrderConfirmed'
audit {
userCode 'messageService'
}
origin 'message-service'
referenceId '10000004-2'
timeSent: '2015-07-22T10:14:28+00:00'
value {
orderId '10000004'
value '10.000000'
fee '10.00'
gst '15.00'
}
}
}
```
### Step 2 - call your message handler with the generated messages
This example tests a message handler that gets messages from a Kafka topic. In this case the Pact message is wrapped
as a Kafka `MessageAndMetadata`.
```groovy
eventStream.run { Message message ->
messageHandler.handleMessage(new MessageAndMetadata('topic', 1,
new kafka.message.Message(message.contentsAsBytes()), 0, null, valueDecoder))
}
```
### Step 3 - validate that the message was handled correctly
```groovy
def order = orderRepository.getOrder('10000004')
assert order.status == 'confirmed'
assert order.value == 10.0
```
### Step 4 - Publish the pact file
If the test was successful, a pact file would have been produced with the message from step 1.
# Having values injected from provider state callbacks (3.6.11+)
You can have values from the provider state callbacks be injected into most places (paths, query parameters, headers,
bodies, etc.). This works by using the V3 spec generators with provider state callbacks that return values. One example
of where this would be useful is API calls that require an ID which would be auto-generated by the database on the
provider side, so there is no way to know what the ID would be beforehand.
The DSL method `fromProviderState` allows you to set an expression that will be parsed with the values returned from the provider states.
For the body, you can use the key value instead of an expression.
For example, assume that an API call is made to get the details of a user by ID. A provider state can be defined that
specifies that the user must be exist, but the ID will be created when the user is created. So we can then define an
expression for the path where the ID will be replaced with the value returned from the provider state callback.
```groovy
service {
given('User harry exists')
uponReceiving('a request for user harry')
withAttributes(method: 'get', path: fromProviderState('/api/user/${id}', '/api/user/100'))
withBody {
name(fromProviderState('userName', 'harry')) // looks up the value using the userName key
}
}
```
Group: au.com.dius Artifact: pact-jvm-consumer-groovy_2.12
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Last update 29. April 2020
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URL https://github.com/DiUS/pact-jvm
License Apache 2
Dependencies amount 1
Dependencies pact-jvm-consumer_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 1
Dependencies pact-jvm-consumer_2.12,
There are maybe transitive dependencies!
pact-jvm-consumer-groovy from group au.com.dius (version 4.0.10)
pact-jvm-consumer-groovy
=========================
Groovy DSL for Pact JVM
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius`
* artifact-id = `pact-jvm-consumer-groovy`
* version-id = `4.0.x`
## Usage
Add the `pact-jvm-consumer-groovy` library to your test class path. This provides a `PactBuilder` class for you to use
to define your pacts. For a full example, have a look at the example JUnit `ExampleGroovyConsumerPactTest`.
If you are using gradle for your build, add it to your `build.gradle`:
dependencies {
testCompile 'au.com.dius:pact-jvm-consumer-groovy:4.0.0'
}
Then create an instance of the `PactBuilder` in your test.
```groovy
import au.com.dius.pact.consumer.PactVerificationResult
import au.com.dius.pact.consumer.groovy.PactBuilder
import groovyx.net.http.RESTClient
import org.junit.Test
class AliceServiceConsumerPactTest {
@Test
void "A service consumer side of a pact goes a little something like this"() {
def alice_service = new PactBuilder() // Create a new PactBuilder
alice_service {
serviceConsumer "Consumer" // Define the service consumer by name
hasPactWith "Alice Service" // Define the service provider that it has a pact with
port 1234 // The port number for the service. It is optional, leave it out to
// to use a random one
given('there is some good mallory') // defines a provider state. It is optional.
uponReceiving('a retrieve Mallory request') // upon_receiving starts a new interaction
withAttributes(method: 'get', path: '/mallory') // define the request, a GET request to '/mallory'
willRespondWith( // define the response we want returned
status: 200,
headers: ['Content-Type': 'text/html'],
body: '"That is some good Mallory."'
)
}
// Execute the run method to have the mock server run.
// It takes a closure to execute your requests and returns a PactVerificationResult.
PactVerificationResult result = alice_service.runTest {
def client = new RESTClient('http://localhost:1234/')
def alice_response = client.get(path: '/mallory')
assert alice_response.status == 200
assert alice_response.contentType == 'text/html'
def data = alice_response.data.text()
assert data == '"That is some good Mallory."'
}
assert result == PactVerificationResult.Ok.INSTANCE // This means it is all good
}
}
```
After running this test, the following pact file is produced:
{
"provider" : {
"name" : "Alice Service"
},
"consumer" : {
"name" : "Consumer"
},
"interactions" : [ {
"provider_state" : "there is some good mallory",
"description" : "a retrieve Mallory request",
"request" : {
"method" : "get",
"path" : "/mallory",
"requestMatchers" : { }
},
"response" : {
"status" : 200,
"headers" : {
"Content-Type" : "text/html"
},
"body" : "That is some good Mallory.",
"responseMatchers" : { }
}
} ]
}
### DSL Methods
#### serviceConsumer(String consumer)
This names the service consumer for the pact.
#### hasPactWith(String provider)
This names the service provider for the pact.
#### port(int port)
Sets the port that the mock server will run on. If not supplied, a random port will be used.
#### given(String providerState)
Defines a state that the provider needs to be in for the request to succeed. For more info, see
https://github.com/realestate-com-au/pact/wiki/Provider-states. Can be called multiple times.
#### given(String providerState, Map params)
Defines a state that the provider needs to be in for the request to succeed. For more info, see
https://github.com/realestate-com-au/pact/wiki/Provider-states. Can be called multiple times, and the params
map can contain the data required for the state.
#### uponReceiving(String requestDescription)
Starts the definition of a of a pact interaction.
#### withAttributes(Map requestData)
Defines the request for the interaction. The request data map can contain the following:
| key | Description | Default Value |
|----------------------------|-------------------------------------------|-----------------------------|
| method | The HTTP method to use | get |
| path | The Path for the request | / |
| query | Query parameters as a Map<String, List> | |
| headers | Map of key-value pairs for the request headers | |
| body | The body of the request. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | |
| prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies below |
For the path, header attributes and query parameters (version 2.2.2+ for headers, 3.3.7+ for query parameters),
you can use regular expressions to match. You can either provide a regex `Pattern` class or use the `regexp` method
to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below).
If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the
regular expression. This value is used when generating requests.
For example:
```groovy
.withAttributes(path: ~'/transaction/[0-9]+') // This will generate a random path for requests
// or
.withAttributes(path: regexp('/transaction/[0-9]+', '/transaction/1234567890'))
```
#### withBody(Closure closure)
Constructs the body of the request or response by invoking the supplied closure in the context of a PactBodyBuilder.
##### Pretty Printed Bodies
An optional Map can be supplied to control how the body is generated. The option values are available:
| Option | Description |
|--------|-------------|
| mimeType | The mime type of the body. Defaults to `application/json` |
| prettyPrint | Boolean value controlling whether to pretty-print the body or not. Defaults to true |
If the prettyPrint option is not specified, the bodies will be pretty printed unless the mime type corresponds to one
that requires compact bodies. Currently only `application/x-thrift+json` is classed as requiring a compact body.
For an example of turning off pretty printing:
```groovy
service {
uponReceiving('a request')
withAttributes(method: 'get', path: '/')
withBody(prettyPrint: false) {
name 'harry'
surname 'larry'
}
}
```
#### willRespondWith(Map responseData)
Defines the response for the interaction. The response data map can contain the following:
| key | Description | Default Value |
|----------------------------|-------------------------------------------|-----------------------------|
| status | The HTTP status code to return | 200 |
| headers | Map of key-value pairs for the response headers | |
| body | The body of the response. If it is not a string, it will be converted to JSON. Also accepts a PactBodyBuilder. | |
| prettyPrint | Boolean value to control if the body is pretty printed. See note on Pretty Printed Bodies above |
For the headers (version 2.2.2+), you can use regular expressions to match. You can either provide a regex `Pattern` class or use
the `regexp` method to construct a `RegexpMatcher` (you can use any of the defined matcher methods, see DSL methods below).
If you use a `Pattern`, or the `regexp` method but don't provide a value, a random one will be generated from the
regular expression. This value is used when generating responses.
For example:
```groovy
.willRespondWith(headers: [LOCATION: ~'/transaction/[0-9]+']) // This will generate a random location value
// or
.willRespondWith(headers: [LOCATION: regexp('/transaction/[0-9]+', '/transaction/1234567890')])
```
#### PactVerificationResult runTest(Closure closure)
The `runTest` method starts the mock server, and then executes the provided closure. It then returns the pact verification
result for the pact run. If you require access to the mock server configuration for the URL, it is passed into the
closure, e.g.,
```groovy
PactVerificationResult result = alice_service.runTest() { mockServer ->
def client = new RESTClient(mockServer.url)
def alice_response = client.get(path: '/mallory')
}
```
### Note on HTTP clients and persistent connections
Some HTTP clients may keep the connection open, based on the live connections settings or if they use a connection cache. This could
cause your tests to fail if the client you are testing lives longer than an individual test, as the mock server will be started
and shutdown for each test. This will result in the HTTP client connection cache having invalid connections. For an example of this where
the there was a failure for every second test, see [Issue #342](https://github.com/DiUS/pact-jvm/issues/342).
### Body DSL
For building JSON bodies there is a `PactBodyBuilder` that provides as DSL that includes matching with regular expressions
and by types. For a more complete example look at `PactBodyBuilderTest`.
For an example:
```groovy
service {
uponReceiving('a request')
withAttributes(method: 'get', path: '/')
withBody {
name(~/\w+/, 'harry')
surname regexp(~/\w+/, 'larry')
position regexp(~/staff|contractor/, 'staff')
happy(true)
}
}
```
This will return the following body:
```json
{
"name": "harry",
"surname": "larry",
"position": "staff",
"happy": true
}
```
and add the following matchers:
```json
{
"$.body.name": {"regex": "\\w+"},
"$.body.surname": {"regex": "\\w+"},
"$.body.position": {"regex": "staff|contractor"}
}
```
#### DSL Methods
The DSL supports the following matching methods:
* regexp(Pattern re, String value = null), regexp(String regexp, String value = null)
Defines a regular expression matcher. If the value is not provided, a random one will be generated.
* hexValue(String value = null)
Defines a matcher that accepts hexidecimal values. If the value is not provided, a random hexidcimal value will be
generated.
* identifier(def value = null)
Defines a matcher that accepts integer values. If the value is not provided, a random value will be generated.
* ipAddress(String value = null)
Defines a matcher that accepts IP addresses. If the value is not provided, a 127.0.0.1 will be used.
* numeric(Number value = null)
Defines a matcher that accepts any numerical values. If the value is not provided, a random integer will be used.
* integer(def value = null)
Defines a matcher that accepts any integer values. If the value is not provided, a random integer will be used.
* decimal(def value = null)
Defines a matcher that accepts any decimal numbers. If the value is not provided, a random decimal will be used.
* timestamp(String pattern = null, def value = null)
If pattern is not provided the ISO_DATETIME_FORMAT is used ("yyyy-MM-dd'T'HH:mm:ss") . If the value is not provided, the current date and time is used.
* time(String pattern = null, def value = null)
If pattern is not provided the ISO_TIME_FORMAT is used ("'T'HH:mm:ss") . If the value is not provided, the current date and time is used.
* date(String pattern = null, def value = null)
If pattern is not provided the ISO_DATE_FORMAT is used ("yyyy-MM-dd") . If the value is not provided, the current date and time is used.
* uuid(String value = null)
Defines a matcher that accepts UUIDs. A random one will be generated if no value is provided.
* equalTo(def value)
Defines an equality matcher that always matches the provided value using `equals`. This is useful for resetting cascading
type matchers.
* includesStr(def value)
Defines a matcher that accepts any value where its string form includes the provided string.
* nullValue()
Defines a matcher that accepts only null values.
* url(String basePath, Object... pathFragments)
Defines a matcher for URLs, given the base URL path and a sequence of path fragments. The path fragments could be
strings or regular expression matchers. For example:
```groovy
url('http://localhost:8080', 'pacticipants', regexp('[^\\/]+', 'Activity%20Service'))
```
Defines a matcher that accepts only null values.
#### What if a field matches a matcher name in the DSL?
When using the body DSL, if there is a field that matches a matcher name (e.g. a field named 'date') then you can do the following:
```groovy
withBody {
date = date()
}
```
### Ensuring all items in a list match an example
Lots of the time you might not know the number of items that will be in a list, but you want to ensure that the list
has a minimum or maximum size and that each item in the list matches a given example. You can do this with the `eachLike`,
`minLike` and `maxLike` functions.
| function | description |
|----------|-------------|
| `eachLike()` | Ensure that each item in the list matches the provided example |
| `maxLike(integer max)` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `minLike(integer min)` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```groovy
withBody {
users minLike(1) {
id identifier
name string('Fred')
}
}
```
This will ensure that the user list is never empty and that each user has an identifier that is a number and a name that is a string.
You can specify the number of example items to generate in the array. The default is 1.
```groovy
withBody {
users minLike(1, 3) {
id identifier
name string('Fred')
}
}
```
This will create an example user list with 3 users.
The each like matchers have been updated to work with primitive types.
```groovy
withBody {
permissions eachLike(3, 'GRANT')
}
```
will generate the following JSON
```json
{
"permissions": ["GRANT", "GRANT", "GRANT"]
}
```
and matchers
```json
{
"$.body.permissions": {"match": "type"}
}
```
and now you can even get more fancy
```groovy
withBody {
permissions eachLike(3, regexp(~/\w+/))
permissions2 minLike(2, 3, integer())
permissions3 maxLike(4, 3, ~/\d+/)
}
```
You can also match arrays at the root level, for instance,
```groovy
withBody PactBodyBuilder.eachLike(regexp(~/\w+/))
```
or if you have arrays of arrays
```groovy
withBody PactBodyBuilder.eachLike([ regexp('[0-9a-f]{8}', 'e8cda07e'), regexp(~/\w+/, 'sony') ])
```
An `eachArrayLike` method has been added to handle matching of arrays of arrays.
```groovy
{
answers minLike(1) {
questionId string("books")
answer eachArrayLike {
questionId string("title")
answer string("BBBB")
}
}
```
This will generate an array of arrays for the `answer` attribute.
### Matching any key in a map
The DSL has been extended for cases where the keys in a map are IDs. For an example of this, see
[#313](https://github.com/DiUS/pact-jvm/issues/313). In this case you can use the `keyLike` method, which takes an
example key as a parameter.
For example:
```groovy
withBody {
example {
one {
keyLike '001', 'value' // key like an id mapped to a value
}
two {
keyLike 'ABC001', regexp('\\w+') // key like an id mapped to a matcher
}
three {
keyLike 'XYZ001', { // key like an id mapped to a closure
id identifier()
}
}
four {
keyLike '001XYZ', eachLike { // key like an id mapped to an array where each item is matched by the following
id identifier() // example
}
}
}
}
```
For an example, have a look at [WildcardPactSpec](src/test/au/com/dius/pact/consumer/groovy/WildcardPactSpec.groovy).
**NOTE:** The `keyLike` method adds a `*` to the matching path, so the matching definition will be applied to all keys
of the map if there is not a more specific matcher defined for a particular key. Having more than one `keyLike` condition
applied to a map will result in only one being applied when the pact is verified (probably the last).
**Further Note: From version 3.5.22 onwards pacts with wildcards applied to map keys will require the Java system property
"pact.matching.wildcard" set to value "true" when the pact file is verified.**
### Matching with an OR
The V3 spec allows multiple matchers to be combined using either AND or OR for a value. The main use of this would be to
either be able to match a value or a null, or to combine different matchers.
For example:
```groovy
withBody {
valueA and('AB', includeStr('A'), includeStr('B')) // valueA must include both A and B
valueB or('100', regex(~/\d+/), nullValue()) // valueB must either match a regular expression or be null
valueC or('12345678', regex(~/\d{8}/), regex(~/X\d{13}/)) // valueC must match either 8 or X followed by 13 digits
}
```
## Changing the directory pact files are written to
By default, pact files are written to `target/pacts` (or `build/pacts` if you use Gradle), but this can be overwritten with the `pact.rootDir` system property.
This property needs to be set on the test JVM as most build tools will fork a new JVM to run the tests.
For Gradle, add this to your build.gradle:
```groovy
test {
systemProperties['pact.rootDir'] = "$buildDir/custom-pacts-directory"
}
```
## Forcing pact files to be overwritten (3.6.5+)
By default, when the pact file is written, it will be merged with any existing pact file. To force the file to be
overwritten, set the Java system property `pact.writer.overwrite` to `true`.
# Publishing your pact files to a pact broker
If you use Gradle, you can use the [pact Gradle plugin](https://github.com/DiUS/pact-jvm/tree/master/provider/pact-jvm-provider-gradle#publishing-pact-files-to-a-pact-broker) to publish your pact files.
# Pact Specification V3
Version 3 of the pact specification changes the format of pact files in the following ways:
* Query parameters are stored in a map form and are un-encoded (see [#66](https://github.com/DiUS/pact-jvm/issues/66)
and [#97](https://github.com/DiUS/pact-jvm/issues/97) for information on what this can cause).
* Introduces a new message pact format for testing interactions via a message queue.
* Multiple provider states can be defined with data parameters.
## Generating V3 spec pact files
To have your consumer tests generate V3 format pacts, you can pass an option into the `runTest` method. For example:
```groovy
PactVerificationResult result = service.runTest(specificationVersion: PactSpecVersion.V3) { config ->
def client = new RESTClient(config.url)
def response = client.get(path: '/')
}
```
## Consumer test for a message consumer
For testing a consumer of messages from a message queue, the `PactMessageBuilder` class provides a DSL for defining
your message expectations. It works in much the same way as the `PactBuilder` class for Request-Response interactions,
but will generate a V3 format message pact file.
The following steps demonstrate how to use it.
### Step 1 - define the message expectations
Create a test that uses the `PactMessageBuilder` to define a message expectation, and then call `run`. This will invoke
the given closure with a message for each one defined in the pact.
```groovy
def eventStream = new PactMessageBuilder().call {
serviceConsumer 'messageConsumer'
hasPactWith 'messageProducer'
given 'order with id 10000004 exists'
expectsToReceive 'an order confirmation message'
withMetaData(type: 'OrderConfirmed') // Can define any key-value pairs here
withContent(contentType: 'application/json') {
type 'OrderConfirmed'
audit {
userCode 'messageService'
}
origin 'message-service'
referenceId '10000004-2'
timeSent: '2015-07-22T10:14:28+00:00'
value {
orderId '10000004'
value '10.000000'
fee '10.00'
gst '15.00'
}
}
}
```
### Step 2 - call your message handler with the generated messages
This example tests a message handler that gets messages from a Kafka topic. In this case the Pact message is wrapped
as a Kafka `MessageAndMetadata`.
```groovy
eventStream.run { Message message ->
messageHandler.handleMessage(new MessageAndMetadata('topic', 1,
new kafka.message.Message(message.contentsAsBytes()), 0, null, valueDecoder))
}
```
### Step 3 - validate that the message was handled correctly
```groovy
def order = orderRepository.getOrder('10000004')
assert order.status == 'confirmed'
assert order.value == 10.0
```
### Step 4 - Publish the pact file
If the test was successful, a pact file would have been produced with the message from step 1.
# Having values injected from provider state callbacks (3.6.11+)
You can have values from the provider state callbacks be injected into most places (paths, query parameters, headers,
bodies, etc.). This works by using the V3 spec generators with provider state callbacks that return values. One example
of where this would be useful is API calls that require an ID which would be auto-generated by the database on the
provider side, so there is no way to know what the ID would be beforehand.
The DSL method `fromProviderState` allows you to set an expression that will be parsed with the values returned from the provider states.
For the body, you can use the key value instead of an expression.
For example, assume that an API call is made to get the details of a user by ID. A provider state can be defined that
specifies that the user must be exist, but the ID will be created when the user is created. So we can then define an
expression for the path where the ID will be replaced with the value returned from the provider state callback.
```groovy
service {
given('User harry exists')
uponReceiving('a request for user harry')
withAttributes(method: 'get', path: fromProviderState('/api/user/${id}', '/api/user/100'))
withBody {
name(fromProviderState('userName', 'harry')) // looks up the value using the userName key
}
}
```
Group: au.com.dius Artifact: pact-jvm-consumer-groovy
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Artifact pact-jvm-consumer-groovy
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 3
Dependencies groovy, groovy-json, 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 3
Dependencies groovy, groovy-json, pact-jvm-consumer,
There are maybe transitive dependencies!
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