Predicates
In the absence of a predicate, a stub always matches, and there's never a reason to add more than one stub to an imposter. Predicates allow imposters to have much richer behavior by defining whether or not a stub matches a request. When multiple stubs are created on an imposter, the first stub that matches is selected.
Each predicate object contains one or more of the request fields as keys. Predicates are added to a stub in an array, and all predicates are AND'd together. The following predicate operators are allowed:
Operator | Description |
---|---|
equals |
The request field matches the predicate |
deepEquals |
Performs nested set equality on the request field, useful when
the request field is an object (e.g. the query field in http) |
contains |
The request field contains the predicate |
startsWith |
The request field starts with the predicate |
endsWith |
The request field ends with the predicate |
matches |
The request field matches the JavaScript regular expression defined with the predicate. |
exists |
If true , the request field must exist. If false ,
the request field must not exist. |
not |
Inverts a predicate |
or |
Logically or's two predicates together |
and |
Logically and's two predicates together |
inject |
Injects JavaScript to decide whether the request matches or not. See the injection page for more details. |
Predicates can be parameterized. mountebank accepts the following predicate parameters:
Parameter | Default | Description |
---|---|---|
caseSensitive |
false |
Determines if the match is case sensitive or not. This includes keys for objects such as query parameters. |
except |
"" |
Defines a regular expression that is stripped out of the request field before matching. |
xpath |
null |
Defines an object containing a selector string and, optionally, an
ns object field that defines a namespace map. The predicate's
scope is limited to the selected value in the request field. |
jsonpath |
null |
Defines an object containing a selector string. The predicate's
scope is limited to the selected value in the request field. |
See the equals
example below to see the caseSensitive
and
except
parameters in action. See the xpath page
for xpath
examples. See the jsonpath page
for jsonpath
examples.
Almost all predicates are scoped to a request field; see the protocol pages linked to from
the sidebar to see the request fields. inject
is the sole exception. It takes
a string function that accepts the entire request. See the
injection page for details.
The predicates work intuitively for base64-encoded binary data as well by internally
converting the base64-encoded string to a JSON string representing the byte array. For example,
sending "AQIDBA==" will get translated to "[1,2,3,4]", and predicates expecting "AgM=" will
get translated to "[2,3]". Even though "AQIDBA==" does not contain "AgM=", a contains
predicate will match, because "[1,2,3,4]" does contain "[2,3]". This works well for everything
but matches
, because any regular expression operators get encoded as binary.
mountebank recommends that you stay away from matches
if you're dealing in binary.
In mountebank's experience, contains
is the most useful predicate for binary
imposters, as even binary RPC data generally contains strings representing method names.
Matching arrays
On occasion you may encounter multi-valued keys. This can be the case with querystrings
and HTTP headers that have repeating keys, for example ?key=first&key=second
.
In those cases, deepEquals
will require all the values (in any order) to match.
All other predicates will match if any value matches, so an equals
predicate
will match with the value of second
in the example above.
JSON predicates are also allowed, for example, to match HTTP
bodies. When the body contains an array, the logic above still applies: deepEquals
requires all values to match, and other predicates will match if any value in the array
matches.
You also have the option of specifying an array in the predicate definition. If you do so,
then all fields in the predicate array must match (in any order). Most predicates
will match even if there are additional fields in the actual request array; deepEquals
requires the array lengths to be equal. The following example shows this with a querystring:
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 3333,
"protocol": "http",
"stubs": [
{
"predicates": [{
"deepEquals": {
"query": { "key": ["first", "second"] }
}
}],
"responses": [{
"is": {
"body": "Entire array matched"
}
}]
},
{
"predicates": [{
"equals": {
"query": { "key": ["first", "second"] }
}
}],
"responses": [{
"is": {
"body": "Subset of array matched"
}
}]
},
{
"predicates": [{
"equals": {
"query": { "key": "first" }
}
}],
"responses": [{
"is": {
"body": "A field in the array matched"
}
}]
}
]
}
First let's call the imposter matching both keys in the deepEquals
predicate. For it
to match, no other keys must be present, although the order does not matter.
GET /path?key=second&key=first HTTP/1.1
Host: localhost:3333
Since both keys match and there are no extraneous keys, we get our expected response from the first stub.
HTTP/1.1 200 OK
Connection: close
Date: Sat, 06 May 2017 02:30:31 GMT
Transfer-Encoding: chunked
Entire array matched
If we add a third key not specified by the predicate, it no longer matches the deepEquals
predicate. It does, however, match the equals
predicate, which supports matching a subset of arrays.
GET /path?key=second&key=first&key=third HTTP/1.1
Host: localhost:3333
Since both keys match, we get our expected response from the first stub.
HTTP/1.1 200 OK
Connection: close
Date: Sat, 06 May 2017 02:30:31 GMT
Transfer-Encoding: chunked
Subset of array matched
If the request is missing either array value specified in the predicate, it no longer matches.
GET /path?key=first&key=third HTTP/1.1
Host: localhost:3333
In this case, our third stub matches, because it does not use an array predicate, and one of the actual array values in the request matches the predicate definition
HTTP/1.1 200 OK
Connection: close
Date: Sat, 06 May 2017 02:30:31 GMT
Transfer-Encoding: chunked
A field in the array matched
DELETE /imposters/3333 HTTP/1.1
Host: localhost:35553
Accept: application/json
Matching XML or JSON
mountebank has special support for matching XML and JSON request fields, such as in an http body
or tcp data
field. Where XML or JSON predicates are used against string
fields,
mountebank will attempt to parse the field as XML or JSON and apply the given predicate. If he is unable to
parse the field, the predicate will fail; otherwise it will pass or fail according to the selected value.
See the xpath page for xpath
examples.
See the json page for json
examples.
Examples
The examples below use both HTTP and TCP imposters. The TCP examples use netcat (nc
)
to send TCP data over a socket, which is like telnet
, but makes the output easier to script.
The examples for binary imposters use the base64
command line tool to decode base64
to binary before sending to the socket.
Let's create an HTTP imposter with multiple stubs:
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4545,
"protocol": "http",
"stubs": [
{
"responses": [{ "is": { "statusCode": 400 } }],
"predicates": [
{
"equals": {
"method": "POST",
"path": "/test",
"query": {
"first": "1",
"second": "2"
},
"headers": {
"Accept": "text/plain"
}
}
},
{
"equals": { "body": "hello, world" },
"caseSensitive": true,
"except": "!$"
}
]
},
{
"responses": [{ "is": { "statusCode": 406 } }],
"predicates": [{ "equals": { "headers": { "Accept": "application/xml" } } }]
},
{
"responses": [{ "is": { "statusCode": 405 } }],
"predicates": [{ "equals": { "method": "PUT" } }]
},
{
"responses": [{ "is": { "statusCode": 500 } }],
"predicates": [{ "equals": { "method": "PUT" } }]
}
]
}
The first predicate is the most complex, and the request has to match all of the
specified request fields. We have the option of putting multiple fields under one
equals
predicate or splitting each one into a separate predicate in the
array. In this example, all of the ones that share the default predicate parameters
are together. For those, neither the case of the keys nor the values will affect the
outcome. The body
predicate is treated separately. The text will be
compared in a case-sensitive manner, after stripping away the regular expression
!$
(an exclamation mark anchored to the end of the string).
The order of the query parameters and header fields does not matter.
POST /test?Second=2&First=1 HTTP/1.1
Host: localhost:4545
accept: text/plain
hello, world!
HTTP/1.1 400 Bad Request
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
The second stub matches if the header changes.
POST /test?Second=2&First=1 HTTP/1.1
Host: localhost:4545
Accept: application/xml
"hello, world!"
HTTP/1.1 406 Not Acceptable
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
The third stub matches on a PUT
.
PUT /test?Second=2&First=1 HTTP/1.1
Host: localhost:4545
Accept: application/json
"hello, world!"
HTTP/1.1 405 Method Not Allowed
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
The fourth stub will never run, since it matches the same requests as the
third stub. mountebank always chooses the first stub that matches based on
the order you add them to the stubs
array when creating the
imposter.
DELETE /imposters/4545 HTTP/1.1
Host: localhost:35553
Accept: application/json
Let's create an HTTP imposter with multiple stubs:
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4556,
"protocol": "http",
"stubs": [
{
"responses": [{ "is": { "body": "first" } }],
"predicates": [{
"deepEquals": {
"query": {}
}
}]
},
{
"responses": [{ "is": { "body": "second" } }],
"predicates": [{
"deepEquals": {
"query": {
"first": "1"
}
}
}]
},
{
"responses": [{ "is": { "body": "third" } }],
"predicates": [{
"deepEquals": {
"query": {
"first": "1",
"second": "2"
}
}
}]
}
]
}
The first predicate matches only a request without a querystring.
GET /test HTTP/1.1
Host: localhost:4556
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
first
The second stub matches only if the exact querystring is sent.
GET /test?First=1 HTTP/1.1
Host: localhost:4556
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
second
The third stub matches only if both query keys are sent.
GET /test?Second=2&First=1 HTTP/1.1
Host: localhost:4556
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
third
Any additional query parameters will trigger the default HTTP response.
GET /test?Second=2&First=1&Third=3 HTTP/1.1
Host: localhost:4556
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
DELETE /imposters/4556 HTTP/1.1
Host: localhost:35553
Accept: application/json
Let's create a binary TCP imposter with multiple stubs:
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4547,
"protocol": "tcp",
"mode": "binary",
"stubs": [
{
"responses": [{ "is": { "data": "Zmlyc3QgcmVzcG9uc2U=" } }],
"predicates": [{ "contains": { "data": "AgM=" } }]
},
{
"responses": [{ "is": { "data": "c2Vjb25kIHJlc3BvbnNl" } }],
"predicates": [{ "contains": { "data": "Bwg=" } }]
},
{
"responses": [{ "is": { "data": "dGhpcmQgcmVzcG9uc2U=" } }],
"predicates": [{ "contains": { "data": "Bwg=" } }]
}
]
}
We're sending a base64-encoded version of four bytes: 0x1, 0x2, 0x3, and 0x4. Our first predicate is a base64 encoded version of 0x2 and 0x3. The response is a base64-encoded version of the string "first response":
echo 'AQIDBA==' | base64 --decode | nc localhost 4547
first response
Next we'll send 0x5, 0x6, 0x7, and 0x8, matching on a predicate encoding 0x7 and 0x8:
echo 'BQYHCA==' | base64 --decode | nc localhost 4547
second response
The third stub will never run, since it matches the same requests as the
second stub. mountebank always chooses the first stub that matches based on
the order you add them to the stubs
array when creating the
imposter.
DELETE /imposters/4547 HTTP/1.1
Host: localhost:35553
Accept: application/json
Let's create a text-based imposter with multiple stubs. Binary imposters won't
see any interesting behavior difference with only startsWith
predicates:
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4548,
"protocol": "tcp",
"mode": "text",
"stubs": [
{
"responses": [{ "is": { "data": "first response" } }],
"predicates": [{ "startsWith": { "data": "first" } }]
},
{
"responses": [{ "is": { "data": "second response" } }],
"predicates": [{ "startsWith": { "data": "second" } }]
},
{
"responses": [{ "is": { "data": "third response" } }],
"predicates": [{ "startsWith": { "data": "second" } }]
}
]
}
The match is not case-sensitive:
echo 'FIRST REQUEST' | nc localhost 4548
first response
The same is true for the second stub.
echo 'Second Request' | nc localhost 4548
second response
The third stub will never run, since it matches the same requests as the
second stub. mountebank always chooses the first stub that matches based on
the order you add them to the stubs
array when creating the
imposter.
DELETE /imposters/4548 HTTP/1.1
Host: localhost:35553
Accept: application/json
Let's create a binary-based imposter with multiple stubs:
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4549,
"protocol": "tcp",
"mode": "binary",
"stubs": [
{
"responses": [{ "is": { "data": "Zmlyc3QgcmVzcG9uc2U=" } }],
"predicates": [{ "endsWith": { "data": "AwQ=" } }]
},
{
"responses": [{ "is": { "data": "c2Vjb25kIHJlc3BvbnNl" } }],
"predicates": [{ "endsWith": { "data": "BQY=" } }]
},
{
"responses": [{ "is": { "data": "dGhpcmQgcmVzcG9uc2U=" } }],
"predicates": [{ "endsWith": { "data": "BQY=" } }]
}
]
}
We'll use the command line base64
tool to decode the
request to binary before sending to the imposter. We're sending a
base64-encoded version of four bytes: 0x1, 0x2, 0x3, and 0x4. Our
first predicate is a base64 encoded version of 0x3 and 0x4. The
response is a base64-encoded version of the string "first response":
echo 'AQIDBA==' | base64 --decode | nc localhost 4549
first response
Next we'll send 0x1, 0x2, 0x4, 0x5, and 0x6, matching on a predicate encoding 0x5 and 0x6:
echo 'AQIDBAUG' | base64 --decode | nc localhost 4549
second response
The third stub will never run, since it matches the same requests as the
second stub. mountebank always chooses the first stub that matches based on
the order you add them to the stubs
array when creating the
imposter.
DELETE /imposters/4549 HTTP/1.1
Host: localhost:35553
Accept: application/json
Let's create a text-based imposter with multiple stubs. Binary imposters
cannot use the matches
predicate.
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4550,
"protocol": "tcp",
"mode": "text",
"stubs": [
{
"responses": [{ "is": { "data": "first response" } }],
"predicates": [{
"matches": { "data": "^first\\Wsecond" },
"caseSensitive": true
}]
},
{
"responses": [{ "is": { "data": "second response" } }],
"predicates": [{ "matches": { "data": "second\\s+request" } }]
},
{
"responses": [{ "is": { "data": "third response" } }],
"predicates": [{ "matches": { "data": "second\\s+request" } }]
}
]
}
The first stub requires a case-sensitive match on a string starting with "first", followed by a non-word character, followed by "second":
echo 'first second' | nc localhost 4550
first response
The second stub is not case-sensitive.
echo 'Second Request' | nc localhost 4550
second response
The third stub will never run, since it matches the same requests as the
second stub. mountebank always chooses the first stub that matches based on
the order you add them to the stubs
array when creating the
imposter.
DELETE /imposters/4550 HTTP/1.1
Host: localhost:35553
Accept: application/json
The exists
predicate is primarily for object data types, like
HTTP headers and query parameters. It works on string fields by simply returning
true
if the exists
value is true
and the
string if non-empty. Setting the exists
value to false
inverts the meaning.
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4551,
"protocol": "http",
"stubs": [
{
"responses": [{ "is": { "body": "first response" } }],
"predicates": [
{
"exists": {
"query": {
"q": true,
"search": false
},
"headers": {
"Accept": true,
"X-Rate-Limit": false
}
}
}
]
},
{
"responses": [{ "is": { "body": "second response" } }],
"predicates": [
{
"exists": {
"method": true,
"body": false
}
}
]
},
{
"responses": [{ "is": { "body": "third response" } }],
"predicates": [
{
"exists": { "body": true }
}
]
}
]
}
The first stub matches if the querystring includes q
, but not if it
includes search
, and if the headers include Accept
,
but not if they include X-Rate-Limit
.
GET /?q=mountebank HTTP/1.1
Host: localhost:4551
Accept: text/plain
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
first response
The second stub matches if the request method
is a
non-empty string (always true
), and if the body
is empty.
GET / HTTP/1.1
Host: localhost:4551
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
second response
The last stub matches if the body
is non-empty:
POST / HTTP/1.1
Host: localhost:4551
non-empty body
HTTP/1.1 200 OK
Connection: close
Date: Thu, 09 Jan 2014 02:30:31 GMT
Transfer-Encoding: chunked
third response
DELETE /imposters/4551 HTTP/1.1
Host: localhost:35553
Accept: application/json
The not
predicate negates its child predicate.
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4552,
"protocol": "tcp",
"mode": "text",
"stubs": [
{
"responses": [{ "is": { "data": "not test" } }],
"predicates": [{ "not": { "equals": { "data": "test\n" } } }]
},
{
"responses": [{ "is": { "data": "test" } }],
"predicates": [{ "equals": { "data": "test\n" } }]
}
]
}
The first stub matches if the is
sub-predicate does not match:
echo 'production' | nc localhost 4552
not test
As expected, the second stub matches if the is
sub-predicate does match:
echo 'test' | nc localhost 4552
test
DELETE /imposters/4552 HTTP/1.1
Host: localhost:35553
Accept: application/json
The or
predicate matches if any of its sub-predicates match.
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4553,
"protocol": "tcp",
"mode": "text",
"stubs": [
{
"responses": [{ "is": { "data": "matches" } }],
"predicates": [
{
"or": [
{ "startsWith": { "data": "start" } },
{ "endsWith": { "data": "end\n" } },
{ "contains": { "data": "middle" } }
]
}
]
}
]
}
The stub matches if the first sub-predicate matches:
echo 'start data transmission' | nc localhost 4553
matches
The stub matches if the second sub-predicate matches:
echo 'data transmission end' | nc localhost 4553
matches
The stub matches if the last sub-predicate matches:
echo 'data middle transmission' | nc localhost 4553
matches
The stub does not match none of the sub-predicates match...
echo 'data transmission' | nc localhost 4553
...which yields an empty response:
DELETE /imposters/4553 HTTP/1.1
Host: localhost:35553
Accept: application/json
The and
predicate matches if all of its sub-predicates match.
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4554,
"protocol": "tcp",
"mode": "text",
"stubs": [
{
"responses": [{ "is": { "data": "matches" } }],
"predicates": [
{
"and": [
{ "startsWith": { "data": "start" } },
{ "endsWith": { "data": "end\n" } },
{ "contains": { "data": "middle" } }
]
}
]
}
]
}
The first request matches all sub-predicates, triggering the stub response:
echo 'start middle end' | nc localhost 4554
matches
The stub matches two of the three sub-predicates, which is not enough to match
the and
predicate.
The stub does not match none of the sub-predicates match...
echo 'start end' | nc localhost 4554
No response is sent.
DELETE /imposters/4554 HTTP/1.1
Host: localhost:35553
Accept: application/json
The inject
predicate allows you to inject JavaScript to determine if
the predicate should match or not. The JavaScript should be a function that accepts
the request object (and optionally a logger) and returns true or false.
See the injection page for details.
The execution will have access to a node.js environment. The following example uses
node's Buffer
object to decode base64 to a byte array.
POST /imposters HTTP/1.1
Host: localhost:35553
Accept: application/json
Content-Type: application/json
{
"port": 4555,
"protocol": "tcp",
"mode": "binary",
"stubs": [
{
"responses": [{ "is": { "data": "Zmlyc3QgcmVzcG9uc2U=" } }],
"predicates": [{
"inject": "function (request, logger) { logger.info('Inside injection'); return Buffer.from(request.data, 'base64')[2] > 100; }"
}]
},
{
"responses": [{ "is": { "data": "c2Vjb25kIHJlc3BvbnNl" } }],
"predicates": [{
"inject": "request => { return Buffer.from(request.data, 'base64')[2] <= 100; }"
}]
}
]
}
The first stub matches if the third byte is greater than 100. The request we're
sending is an encoding [99, 100, 101]:
echo 'Y2Rl' | base64 --decode | nc localhost 4555
first response
The logs will also show the injected log output. The second predicate has to
match a request originating from localhost with the third byte less than or equal
to 100. We're sending [98, 99, 100]
:
echo 'YmNk' | base64 --decode | nc localhost 4555
...giving the response:
second response
DELETE /imposters/4555 HTTP/1.1
Host: localhost:35553
Accept: application/json