Download JAR files tagged by geometry with all dependencies
geomajas-project-geometry-all from group org.geomajas.project (version 1.3.0)
Group: org.geomajas.project Artifact: geomajas-project-geometry-all
Show all versions
Show all versions
There is no JAR file uploaded. A download is not possible! Please choose another version.
0 downloads
math from group com.lmco.ptolemaeus (version 3.2.1)
A rigorous and well-sourced Java mathematics library that extends the Hipparchus mathematics library that includes linear algebra over R^n and C^n (e.g. Matrix, ComplexMatrix, Eigen, complex Schur using the M-shifted large-bulge QR alg., and complex QR and Hessenberg decompositions using Householder transformations), frameworks for and implementations of hyper-dimensional (N-dimensional) geometry (e.g., NOrthotope, NBall, RealNDomain, AbstractNDomain), weighted non-linear least-squares optimization (Levenmerg-Marquardt with geodesic acceleration), non-linear dynamics (e.g., DynamicalSystem, StateTransitionMatrix),and a rich framework of multi-variate, vector- and matrix-valued function definitions (e.g., MultivariateVectorValuedFunction, VectorField, MultivariateMatrixValuedFunction). Whenever a reference is used in the process of development, that source is included in the JavaDoc and, if possible, a hyperlink is provided.
0 downloads
Artifact math
Group com.lmco.ptolemaeus
Version 3.2.1
Last update 05. December 2024
Organization not specified
URL https://gitlab.com/lmco/ptolemaeus
License MIT
Dependencies amount 4
Dependencies hipparchus, hipparchus-core, hipparchus-optim, hipparchus-geometry,
There are maybe transitive dependencies!
Group com.lmco.ptolemaeus
Version 3.2.1
Last update 05. December 2024
Organization not specified
URL https://gitlab.com/lmco/ptolemaeus
License MIT
Dependencies amount 4
Dependencies hipparchus, hipparchus-core, hipparchus-optim, hipparchus-geometry,
There are maybe transitive dependencies!
patrius from group fr.cnes.sirius.patrius (version 4.8.1)
PATRIUS is a core space dynamics Java library that enables to quickly develop high level algorithms such as orbit extrapolator. PATRIUS contains several sub-libraries that work together and cover low level classes (i.e.: such as matrix, vectors, orbits parameters) as well as high level classes and interfaces (i.e.: numerical propagators, attitude laws, manoeuvers sequences).
All the main domains of space dynamics are available:
Analysis, algebra and geometry core library (quaternions, derivable functions, integrators …)
Core objects for space dynamics (dates, orbits, frames...)
Orbit propagation: analytical, semi-analytical and numerical propagators, a full set of force models
Maneuvers: impulsive or continuous thrust, sequences
Attitude: extensible set of attitude laws, sequences and guidance framework
Events: event detection (orbital, sensor events, etc.) and post-processing (chronograms)
Spacecraft: characteristics of mass, geometry (drag force), sensors field of view, etc.
Artifact patrius
Group fr.cnes.sirius.patrius
Version 4.8.1
Last update 09. August 2022
Organization CNES
URL https://patrius.cnes.fr
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies jafama, junit,
There are maybe transitive dependencies!
Group fr.cnes.sirius.patrius
Version 4.8.1
Last update 09. August 2022
Organization CNES
URL https://patrius.cnes.fr
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies jafama, junit,
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!
pact-jvm-consumer_2.10 from group au.com.dius (version 2.4.20)
Pact consumer
=============
Pact Consumer is used by projects that are consumers of an API.
Most projects will want to use pact-consumer via one of the test framework specific projects. If your favourite
framework is not implemented, this module should give you all the hooks you need.
Provides a DSL for use with Java to build consumer pacts.
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius`
* artifact-id = `pact-jvm-consumer_2.11`
## DSL Usage
Example in a JUnit test:
```java
import au.com.dius.pact.model.MockProviderConfig;
import au.com.dius.pact.model.PactFragment;
import org.junit.Test;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import static org.junit.Assert.assertEquals;
public class PactTest {
@Test
public void testPact() {
PactFragment pactFragment = ConsumerPactBuilder
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.uponReceiving("a request to say Hello")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.toFragment();
MockProviderConfig config = MockProviderConfig.createDefault();
VerificationResult result = pactFragment.runConsumer(config, new TestRun() {
@Override
public void run(MockProviderConfig config) {
Map expectedResponse = new HashMap();
expectedResponse.put("hello", "harry");
try {
assertEquals(new ProviderClient(config.url()).hello("{\"name\": \"harry\"}"),
expectedResponse);
} catch (IOException e) {}
}
});
if (result instanceof PactError) {
throw new RuntimeException(((PactError)result).error());
}
assertEquals(ConsumerPactTest.PACT_VERIFIED, result);
}
}
```
The DSL has the following pattern:
```java
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.given("a certain state on the provider")
.uponReceiving("a request for something")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.uponReceiving("another request for something")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.
.
.
.toFragment()
```
You can define as many interactions as required. Each interaction starts with `uponReceiving` followed by `willRespondWith`.
The test state setup with `given` is a mechanism to describe what the state of the provider should be in before the provider
is verified. It is only recorded in the consumer tests and used by the provider verification tasks.
### Building JSON bodies with PactDslJsonBody DSL
The body method of the ConsumerPactBuilder can accept a PactDslJsonBody, which can construct a JSON body as well as
define regex and type matchers.
For example:
```java
PactDslJsonBody body = new PactDslJsonBody()
.stringType("name")
.booleanType("happy")
.hexValue("hexCode")
.id()
.ipAddress("localAddress")
.numberValue("age", 100)
.timestamp();
```
#### DSL Matching methods
The following matching methods are provided with the DSL. In most cases, they take an optional value parameter which
will be used to generate example values (i.e. when returning a mock response). If no example value is given, a random
one will be generated.
| method | description |
|--------|-------------|
| string, stringValue | Match a string value (using string equality) |
| number, numberValue | Match a number value (using Number.equals)\* |
| booleanValue | Match a boolean value (using equality) |
| stringType | Will match all Strings |
| numberType | Will match all numbers\* |
| integerType | Will match all numbers that are integers (both ints and longs)\* |
| decimalType | Will match all real numbers (floating point and decimal)\* |
| booleanType | Will match all boolean values (true and false) |
| stringMatcher | Will match strings using the provided regular expression |
| timestamp | Will match string containing timestamps. If a timestamp format is not given, will match an ISO timestamp format |
| date | Will match string containing dates. If a date format is not given, will match an ISO date format |
| time | Will match string containing times. If a time format is not given, will match an ISO time format |
| ipAddress | Will match string containing IP4 formatted address. |
| id | Will match all numbers by type |
| hexValue | Will match all hexadecimal encoded strings |
| uuid | Will match strings containing UUIDs |
_\* Note:_ JSON only supports double precision floating point values. Depending on the language implementation, they
may parsed as integer, floating point or decimal numbers.
#### 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 `arrayLike`,
`minArrayLike` and `maxArrayLike` functions.
| function | description |
|----------|-------------|
| `eachLike` | Ensure that each item in the list matches the provided example |
| `maxArrayLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `minArrayLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```java
DslPart body = new PactDslJsonBody()
.minArrayLike("users")
.id()
.stringType("name")
.closeObject()
.closeArray();
```
This will ensure that the users list is never empty and that each user has an identifier that is a number and a name that is a string.
#### Matching JSON values at the root (Version 3.2.2/2.4.3+)
For cases where you are expecting basic JSON values (strings, numbers, booleans and null) at the root level of the body
and need to use matchers, you can use the `PactDslJsonRootValue` class. It has all the DSL matching methods for basic
values that you can use.
For example:
```java
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.uponReceiving("a request for a basic JSON value")
.path("/hello")
.willRespondWith()
.status(200)
.body(PactDslJsonRootValue.integerType())
```
#### Root level arrays that match all items (version 2.2.11+)
If the root of the body is an array, you can create PactDslJsonArray classes with the following methods:
| function | description |
|----------|-------------|
| `arrayEachLike` | Ensure that each item in the list matches the provided example |
| `arrayMinLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `arrayMaxLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```java
PactDslJsonArray.arrayEachLike()
.date("clearedDate", "mm/dd/yyyy", date)
.stringType("status", "STATUS")
.decimalType("amount", 100.0)
.closeObject()
```
This will then match a body like:
```json
[ {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
}, {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
}, {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
} ]
```
#### Matching arrays of arrays (version 3.2.12/2.4.14+)
For the case where you have arrays of arrays (GeoJSON is an example), the following methods have been provided:
| function | description |
|----------|-------------|
| `eachArrayLike` | Ensure that each item in the array is an array that matches the provided example |
| `eachArrayWithMaxLike` | Ensure that each item in the array is an array that matches the provided example and the array is no bigger than the provided max |
| `eachArrayWithMinLike` | Ensure that each item in the array is an array that matches the provided example and the array is no smaller than the provided min |
For example (with GeoJSON structure):
```java
new PactDslJsonBody()
.stringType("type","FeatureCollection")
.eachLike("features")
.stringType("type","Feature")
.object("geometry")
.stringType("type","Point")
.eachArrayLike("coordinates") // coordinates is an array of arrays
.decimalType(-7.55717)
.decimalType(49.766896)
.closeArray()
.closeArray()
.closeObject()
.object("properties")
.stringType("prop0","value0")
.closeObject()
.closeObject()
.closeArray()
```
This generated the following JSON:
```json
{
"features": [
{
"geometry": {
"coordinates": [[-7.55717, 49.766896]],
"type": "Point"
},
"type": "Feature",
"properties": { "prop0": "value0" }
}
],
"type": "FeatureCollection"
}
```
and will be able to match all coordinates regardless of the number of coordinates.
#### 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 `eachKeyLike` method, which takes an
example key as a parameter.
For example:
```java
DslPart body = new PactDslJsonBody()
.object("one")
.eachKeyLike("001", PactDslJsonRootValue.id(12345L)) // key like an id mapped to a matcher
.closeObject()
.object("two")
.eachKeyLike("001-A") // key like an id where the value is matched by the following example
.stringType("description", "Some Description")
.closeObject()
.closeObject()
.object("three")
.eachKeyMappedToAnArrayLike("001") // key like an id mapped to an array where each item is matched by the following example
.id("someId", 23456L)
.closeObject()
.closeArray()
.closeObject();
```
For an example, have a look at [WildcardKeysTest](src/test/java/au/com/dius/pact/consumer/WildcardKeysTest.java).
**NOTE:** The `eachKeyLike` 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 `eachKeyLike` condition
applied to a map will result in only one being applied when the pact is verified (probably the last).
### Matching on paths (version 2.1.5+)
You can use regular expressions to match incoming requests. The DSL has a `matchPath` method for this. You can provide
a real path as a second value to use when generating requests, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.matchPath("/transaction/[0-9]+") // or .matchPath("/transaction/[0-9]+", "/transaction/1234567890")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
```
### Matching on headers (version 2.2.2+)
You can use regular expressions to match request and response headers. The DSL has a `matchHeader` method for this. You can provide
an example header value to use when generating requests and responses, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.path("/hello")
.method("POST")
.matchHeader("testreqheader", "test.*value")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.matchHeader("Location", ".*/hello/[0-9]+", "/hello/1234")
```
### Matching on query parameters (version 3.3.7+)
You can use regular expressions to match request query parameters. The DSL has a `matchQuery` method for this. You can provide
an example value to use when generating requests, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.path("/hello")
.method("POST")
.matchQuery("a", "\\d+", "100")
.matchQuery("b", "[A-Z]", "X")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
```
6 downloads
Artifact pact-jvm-consumer_2.10
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 12
Dependencies slf4j-api, scala-library, pact-jvm-model, pact-jvm-matchers_2.10, groovy-all, diffutils, automaton, httpclient, jackson-databind, generex, unfiltered-netty-server_2.10, dispatch-core_2.10,
There are maybe transitive dependencies!
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 12
Dependencies slf4j-api, scala-library, pact-jvm-model, pact-jvm-matchers_2.10, groovy-all, diffutils, automaton, httpclient, jackson-databind, generex, unfiltered-netty-server_2.10, dispatch-core_2.10,
There are maybe transitive dependencies!
pact-jvm-consumer_2.12 from group au.com.dius (version 3.6.15)
Pact consumer
=============
Pact Consumer is used by projects that are consumers of an API.
Most projects will want to use pact-consumer via one of the test framework specific projects. If your favourite
framework is not implemented, this module should give you all the hooks you need.
Provides a DSL for use with Java to build consumer pacts.
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius`
* artifact-id = `pact-jvm-consumer_2.11`
## DSL Usage
Example in a JUnit test:
```java
import au.com.dius.pact.model.MockProviderConfig;
import au.com.dius.pact.model.RequestResponsePact;
import org.apache.http.entity.ContentType;
import org.jetbrains.annotations.NotNull;
import org.junit.Test;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import static au.com.dius.pact.consumer.ConsumerPactRunnerKt.runConsumerTest;
import static org.junit.Assert.assertEquals;
public class PactTest {
@Test
public void testPact() {
RequestResponsePact pact = ConsumerPactBuilder
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.uponReceiving("a request to say Hello")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.toPact();
MockProviderConfig config = MockProviderConfig.createDefault();
PactVerificationResult result = runConsumerTest(pact, config, new PactTestRun() {
@Override
public void run(@NotNull MockServer mockServer) throws IOException {
Map expectedResponse = new HashMap();
expectedResponse.put("hello", "harry");
assertEquals(expectedResponse, new ConsumerClient(mockServer.getUrl()).post("/hello",
"{\"name\": \"harry\"}", ContentType.APPLICATION_JSON));
}
});
if (result instanceof PactVerificationResult.Error) {
throw new RuntimeException(((PactVerificationResult.Error)result).getError());
}
assertEquals(PactVerificationResult.Ok.INSTANCE, result);
}
}
```
The DSL has the following pattern:
```java
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.given("a certain state on the provider")
.uponReceiving("a request for something")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.uponReceiving("another request for something")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.
.
.
.toPact()
```
You can define as many interactions as required. Each interaction starts with `uponReceiving` followed by `willRespondWith`.
The test state setup with `given` is a mechanism to describe what the state of the provider should be in before the provider
is verified. It is only recorded in the consumer tests and used by the provider verification tasks.
### Building JSON bodies with PactDslJsonBody DSL
The body method of the ConsumerPactBuilder can accept a PactDslJsonBody, which can construct a JSON body as well as
define regex and type matchers.
For example:
```java
PactDslJsonBody body = new PactDslJsonBody()
.stringType("name")
.booleanType("happy")
.hexValue("hexCode")
.id()
.ipAddress("localAddress")
.numberValue("age", 100)
.timestamp();
```
#### DSL Matching methods
The following matching methods are provided with the DSL. In most cases, they take an optional value parameter which
will be used to generate example values (i.e. when returning a mock response). If no example value is given, a random
one will be generated.
| method | description |
|--------|-------------|
| string, stringValue | Match a string value (using string equality) |
| number, numberValue | Match a number value (using Number.equals)\* |
| booleanValue | Match a boolean value (using equality) |
| stringType | Will match all Strings |
| numberType | Will match all numbers\* |
| integerType | Will match all numbers that are integers (both ints and longs)\* |
| decimalType | Will match all real numbers (floating point and decimal)\* |
| booleanType | Will match all boolean values (true and false) |
| stringMatcher | Will match strings using the provided regular expression |
| timestamp | Will match string containing timestamps. If a timestamp format is not given, will match an ISO timestamp format |
| date | Will match string containing dates. If a date format is not given, will match an ISO date format |
| time | Will match string containing times. If a time format is not given, will match an ISO time format |
| ipAddress | Will match string containing IP4 formatted address. |
| id | Will match all numbers by type |
| hexValue | Will match all hexadecimal encoded strings |
| uuid | Will match strings containing UUIDs |
| includesStr | Will match strings containing the provided string |
| equalsTo | Will match using equals |
| matchUrl | 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 |
_\* Note:_ JSON only supports double precision floating point values. Depending on the language implementation, they
may parsed as integer, floating point or decimal numbers.
#### 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 `arrayLike`,
`minArrayLike` and `maxArrayLike` functions.
| function | description |
|----------|-------------|
| `eachLike` | Ensure that each item in the list matches the provided example |
| `maxArrayLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `minArrayLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```java
DslPart body = new PactDslJsonBody()
.minArrayLike("users")
.id()
.stringType("name")
.closeObject()
.closeArray();
```
This will ensure that the users list is never empty and that each user has an identifier that is a number and a name that is a string.
#### Matching JSON values at the root (Version 3.2.2/2.4.3+)
For cases where you are expecting basic JSON values (strings, numbers, booleans and null) at the root level of the body
and need to use matchers, you can use the `PactDslJsonRootValue` class. It has all the DSL matching methods for basic
values that you can use.
For example:
```java
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.uponReceiving("a request for a basic JSON value")
.path("/hello")
.willRespondWith()
.status(200)
.body(PactDslJsonRootValue.integerType())
```
#### Root level arrays that match all items (version 2.2.11+)
If the root of the body is an array, you can create PactDslJsonArray classes with the following methods:
| function | description |
|----------|-------------|
| `arrayEachLike` | Ensure that each item in the list matches the provided example |
| `arrayMinLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `arrayMaxLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```java
PactDslJsonArray.arrayEachLike()
.date("clearedDate", "mm/dd/yyyy", date)
.stringType("status", "STATUS")
.decimalType("amount", 100.0)
.closeObject()
```
This will then match a body like:
```json
[ {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
}, {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
}, {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
} ]
```
#### Matching arrays of arrays (version 3.2.12/2.4.14+)
For the case where you have arrays of arrays (GeoJSON is an example), the following methods have been provided:
| function | description |
|----------|-------------|
| `eachArrayLike` | Ensure that each item in the array is an array that matches the provided example |
| `eachArrayWithMaxLike` | Ensure that each item in the array is an array that matches the provided example and the array is no bigger than the provided max |
| `eachArrayWithMinLike` | Ensure that each item in the array is an array that matches the provided example and the array is no smaller than the provided min |
For example (with GeoJSON structure):
```java
new PactDslJsonBody()
.stringType("type","FeatureCollection")
.eachLike("features")
.stringType("type","Feature")
.object("geometry")
.stringType("type","Point")
.eachArrayLike("coordinates") // coordinates is an array of arrays
.decimalType(-7.55717)
.decimalType(49.766896)
.closeArray()
.closeArray()
.closeObject()
.object("properties")
.stringType("prop0","value0")
.closeObject()
.closeObject()
.closeArray()
```
This generated the following JSON:
```json
{
"features": [
{
"geometry": {
"coordinates": [[-7.55717, 49.766896]],
"type": "Point"
},
"type": "Feature",
"properties": { "prop0": "value0" }
}
],
"type": "FeatureCollection"
}
```
and will be able to match all coordinates regardless of the number of coordinates.
#### 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 `eachKeyLike` method, which takes an
example key as a parameter.
For example:
```java
DslPart body = new PactDslJsonBody()
.object("one")
.eachKeyLike("001", PactDslJsonRootValue.id(12345L)) // key like an id mapped to a matcher
.closeObject()
.object("two")
.eachKeyLike("001-A") // key like an id where the value is matched by the following example
.stringType("description", "Some Description")
.closeObject()
.closeObject()
.object("three")
.eachKeyMappedToAnArrayLike("001") // key like an id mapped to an array where each item is matched by the following example
.id("someId", 23456L)
.closeObject()
.closeArray()
.closeObject();
```
For an example, have a look at [WildcardKeysTest](../pact-jvm-consumer-junit/src/test/java/au/com/dius/pact/consumer/WildcardKeysTest.java).
**NOTE:** The `eachKeyLike` 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 `eachKeyLike` 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 on paths (version 2.1.5+)
You can use regular expressions to match incoming requests. The DSL has a `matchPath` method for this. You can provide
a real path as a second value to use when generating requests, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.matchPath("/transaction/[0-9]+") // or .matchPath("/transaction/[0-9]+", "/transaction/1234567890")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
```
### Matching on headers (version 2.2.2+)
You can use regular expressions to match request and response headers. The DSL has a `matchHeader` method for this. You can provide
an example header value to use when generating requests and responses, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.path("/hello")
.method("POST")
.matchHeader("testreqheader", "test.*value")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.matchHeader("Location", ".*/hello/[0-9]+", "/hello/1234")
```
### Matching on query parameters (version 3.3.7+)
You can use regular expressions to match request query parameters. The DSL has a `matchQuery` method for this. You can provide
an example value to use when generating requests, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.path("/hello")
.method("POST")
.matchQuery("a", "\\d+", "100")
.matchQuery("b", "[A-Z]", "X")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
```
# 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`.
# 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 following DSL methods allow you to set an expression that will be parsed with the values returned from the provider states:
For JSON bodies, use `valueFromProviderState`.<br/>
For headers, use `headerFromProviderState`.<br/>
For query parameters, use `queryParameterFromProviderState`.<br/>
For paths, use `pathFromProviderState`.
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.
```java
.pathFromProviderState("/api/users/${id}", "/api/users/100")
```
You can also just use the key instead of an expression:
```java
.valueFromProviderState('userId', 'userId', 100) // will look value using userId as the key
```
2 downloads
Artifact pact-jvm-consumer_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 12
Dependencies pact-jvm-model, pact-jvm-matchers_2.12, diffutils, automaton, httpclient, json, netty-handler, httpmime, unfiltered-netty-server_2.12, fluent-hc, scala-java8-compat_2.12, groovy-json,
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 12
Dependencies pact-jvm-model, pact-jvm-matchers_2.12, diffutils, automaton, httpclient, json, netty-handler, httpmime, unfiltered-netty-server_2.12, fluent-hc, scala-java8-compat_2.12, groovy-json,
There are maybe transitive dependencies!
pact-jvm-consumer from group au.com.dius (version 4.0.10)
Pact consumer
=============
Pact Consumer is used by projects that are consumers of an API.
Most projects will want to use pact-consumer via one of the test framework specific projects. If your favourite
framework is not implemented, this module should give you all the hooks you need.
Provides a DSL for use with Java to build consumer pacts.
## Dependency
The library is available on maven central using:
* group-id = `au.com.dius`
* artifact-id = `pact-jvm-consumer`
## DSL Usage
Example in a JUnit test:
```java
import au.com.dius.pact.model.MockProviderConfig;
import au.com.dius.pact.model.RequestResponsePact;
import org.apache.http.entity.ContentType;
import org.jetbrains.annotations.NotNull;
import org.junit.Test;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import static au.com.dius.pact.consumer.ConsumerPactRunnerKt.runConsumerTest;
import static org.junit.Assert.assertEquals;
public class PactTest {
@Test
public void testPact() {
RequestResponsePact pact = ConsumerPactBuilder
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.uponReceiving("a request to say Hello")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.toPact();
MockProviderConfig config = MockProviderConfig.createDefault();
PactVerificationResult result = runConsumerTest(pact, config, new PactTestRun() {
@Override
public void run(@NotNull MockServer mockServer) throws IOException {
Map expectedResponse = new HashMap();
expectedResponse.put("hello", "harry");
assertEquals(expectedResponse, new ConsumerClient(mockServer.getUrl()).post("/hello",
"{\"name\": \"harry\"}", ContentType.APPLICATION_JSON));
}
});
if (result instanceof PactVerificationResult.Error) {
throw new RuntimeException(((PactVerificationResult.Error)result).getError());
}
assertEquals(PactVerificationResult.Ok.INSTANCE, result);
}
}
```
The DSL has the following pattern:
```java
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.given("a certain state on the provider")
.uponReceiving("a request for something")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.uponReceiving("another request for something")
.path("/hello")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.
.
.
.toPact()
```
You can define as many interactions as required. Each interaction starts with `uponReceiving` followed by `willRespondWith`.
The test state setup with `given` is a mechanism to describe what the state of the provider should be in before the provider
is verified. It is only recorded in the consumer tests and used by the provider verification tasks.
### Building JSON bodies with PactDslJsonBody DSL
The body method of the ConsumerPactBuilder can accept a PactDslJsonBody, which can construct a JSON body as well as
define regex and type matchers.
For example:
```java
PactDslJsonBody body = new PactDslJsonBody()
.stringType("name")
.booleanType("happy")
.hexValue("hexCode")
.id()
.ipAddress("localAddress")
.numberValue("age", 100)
.timestamp();
```
#### DSL Matching methods
The following matching methods are provided with the DSL. In most cases, they take an optional value parameter which
will be used to generate example values (i.e. when returning a mock response). If no example value is given, a random
one will be generated.
| method | description |
|--------|-------------|
| string, stringValue | Match a string value (using string equality) |
| number, numberValue | Match a number value (using Number.equals)\* |
| booleanValue | Match a boolean value (using equality) |
| stringType | Will match all Strings |
| numberType | Will match all numbers\* |
| integerType | Will match all numbers that are integers (both ints and longs)\* |
| decimalType | Will match all real numbers (floating point and decimal)\* |
| booleanType | Will match all boolean values (true and false) |
| stringMatcher | Will match strings using the provided regular expression |
| timestamp | Will match string containing timestamps. If a timestamp format is not given, will match an ISO timestamp format |
| date | Will match string containing dates. If a date format is not given, will match an ISO date format |
| time | Will match string containing times. If a time format is not given, will match an ISO time format |
| ipAddress | Will match string containing IP4 formatted address. |
| id | Will match all numbers by type |
| hexValue | Will match all hexadecimal encoded strings |
| uuid | Will match strings containing UUIDs |
| includesStr | Will match strings containing the provided string |
| equalsTo | Will match using equals |
| matchUrl | 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 |
_\* Note:_ JSON only supports double precision floating point values. Depending on the language implementation, they
may parsed as integer, floating point or decimal numbers.
#### 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 `arrayLike`,
`minArrayLike` and `maxArrayLike` functions.
| function | description |
|----------|-------------|
| `eachLike` | Ensure that each item in the list matches the provided example |
| `maxArrayLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `minArrayLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```java
DslPart body = new PactDslJsonBody()
.minArrayLike("users")
.id()
.stringType("name")
.closeObject()
.closeArray();
```
This will ensure that the users list is never empty and that each user has an identifier that is a number and a name that is a string.
#### Matching JSON values at the root
For cases where you are expecting basic JSON values (strings, numbers, booleans and null) at the root level of the body
and need to use matchers, you can use the `PactDslJsonRootValue` class. It has all the DSL matching methods for basic
values that you can use.
For example:
```java
.consumer("Some Consumer")
.hasPactWith("Some Provider")
.uponReceiving("a request for a basic JSON value")
.path("/hello")
.willRespondWith()
.status(200)
.body(PactDslJsonRootValue.integerType())
```
#### Root level arrays that match all items
If the root of the body is an array, you can create PactDslJsonArray classes with the following methods:
| function | description |
|----------|-------------|
| `arrayEachLike` | Ensure that each item in the list matches the provided example |
| `arrayMinLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max |
| `arrayMaxLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min |
For example:
```java
PactDslJsonArray.arrayEachLike()
.date("clearedDate", "mm/dd/yyyy", date)
.stringType("status", "STATUS")
.decimalType("amount", 100.0)
.closeObject()
```
This will then match a body like:
```json
[ {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
}, {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
}, {
"clearedDate" : "07/22/2015",
"status" : "C",
"amount" : 15.0
} ]
```
#### Matching arrays of arrays
For the case where you have arrays of arrays (GeoJSON is an example), the following methods have been provided:
| function | description |
|----------|-------------|
| `eachArrayLike` | Ensure that each item in the array is an array that matches the provided example |
| `eachArrayWithMaxLike` | Ensure that each item in the array is an array that matches the provided example and the array is no bigger than the provided max |
| `eachArrayWithMinLike` | Ensure that each item in the array is an array that matches the provided example and the array is no smaller than the provided min |
For example (with GeoJSON structure):
```java
new PactDslJsonBody()
.stringType("type","FeatureCollection")
.eachLike("features")
.stringType("type","Feature")
.object("geometry")
.stringType("type","Point")
.eachArrayLike("coordinates") // coordinates is an array of arrays
.decimalType(-7.55717)
.decimalType(49.766896)
.closeArray()
.closeArray()
.closeObject()
.object("properties")
.stringType("prop0","value0")
.closeObject()
.closeObject()
.closeArray()
```
This generated the following JSON:
```json
{
"features": [
{
"geometry": {
"coordinates": [[-7.55717, 49.766896]],
"type": "Point"
},
"type": "Feature",
"properties": { "prop0": "value0" }
}
],
"type": "FeatureCollection"
}
```
and will be able to match all coordinates regardless of the number of coordinates.
#### 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 `eachKeyLike` method, which takes an
example key as a parameter.
For example:
```java
DslPart body = new PactDslJsonBody()
.object("one")
.eachKeyLike("001", PactDslJsonRootValue.id(12345L)) // key like an id mapped to a matcher
.closeObject()
.object("two")
.eachKeyLike("001-A") // key like an id where the value is matched by the following example
.stringType("description", "Some Description")
.closeObject()
.closeObject()
.object("three")
.eachKeyMappedToAnArrayLike("001") // key like an id mapped to an array where each item is matched by the following example
.id("someId", 23456L)
.closeObject()
.closeArray()
.closeObject();
```
For an example, have a look at [WildcardKeysTest](../pact-jvm-consumer-junit/src/test/java/au/com/dius/pact/consumer/WildcardKeysTest.java).
**NOTE:** The `eachKeyLike` 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 `eachKeyLike` 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 on paths
You can use regular expressions to match incoming requests. The DSL has a `matchPath` method for this. You can provide
a real path as a second value to use when generating requests, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.matchPath("/transaction/[0-9]+") // or .matchPath("/transaction/[0-9]+", "/transaction/1234567890")
.method("POST")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
```
### Matching on headers
You can use regular expressions to match request and response headers. The DSL has a `matchHeader` method for this. You can provide
an example header value to use when generating requests and responses, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.path("/hello")
.method("POST")
.matchHeader("testreqheader", "test.*value")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
.matchHeader("Location", ".*/hello/[0-9]+", "/hello/1234")
```
### Matching on query parameters
You can use regular expressions to match request query parameters. The DSL has a `matchQuery` method for this. You can provide
an example value to use when generating requests, and if you leave it out it will generate a random one
from the regular expression.
For example:
```java
.given("test state")
.uponReceiving("a test interaction")
.path("/hello")
.method("POST")
.matchQuery("a", "\\d+", "100")
.matchQuery("b", "[A-Z]", "X")
.body("{\"name\": \"harry\"}")
.willRespondWith()
.status(200)
.body("{\"hello\": \"harry\"}")
```
# 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`.
# 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 following DSL methods allow you to set an expression that will be parsed with the values returned from the provider states:
For JSON bodies, use `valueFromProviderState`.<br/>
For headers, use `headerFromProviderState`.<br/>
For query parameters, use `queryParameterFromProviderState`.<br/>
For paths, use `pathFromProviderState`.
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.
```java
.pathFromProviderState("/api/users/${id}", "/api/users/100")
```
0 downloads
Artifact pact-jvm-consumer
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 9
Dependencies diffutils, automaton, httpclient, json, netty-handler, httpmime, fluent-hc, pact-jvm-core-model, pact-jvm-core-matchers,
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 9
Dependencies diffutils, automaton, httpclient, json, netty-handler, httpmime, fluent-hc, pact-jvm-core-model, pact-jvm-core-matchers,
There are maybe transitive dependencies!
pact-jvm-consumer_2.11 from group au.com.dius (version 3.5.24)
Pact consumer
=============
Pact Consumer is used by projects that are consumers of an API.
Most projects will want to use pact-consumer via one of the test framework specific projects above.
If your favourite framework is not implemented, this module should give you all the hooks you need.
Please let us know if you build one and we'll link to you from the main page.
25 downloads
Artifact pact-jvm-consumer_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 12
Dependencies unfiltered-netty-server_2.11, diffutils, scala-library, pact-jvm-model_2.11, json4s-native_2.11, dispatch-core_2.11, pact-jvm-matchers_2.11, automaton, json4s-jackson_2.11, scala-xml_2.11, scala-logging-slf4j_2.11, slf4j-api,
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 12
Dependencies unfiltered-netty-server_2.11, diffutils, scala-library, pact-jvm-model_2.11, json4s-native_2.11, dispatch-core_2.11, pact-jvm-matchers_2.11, automaton, json4s-jackson_2.11, scala-xml_2.11, scala-logging-slf4j_2.11, slf4j-api,
There are maybe transitive dependencies!
Page 12 from 12 (items total 118)
© 2015 - 2025 Weber Informatics LLC | Privacy Policy