mocha-snap
Snapshot testing for Mocha with support for both file & inline snapshots.
Installation
npm install mocha-snap
Setup
This package exposes a Mocha root hook plugin that must be loaded before any snapshots can execute. It handles writing updated files to disk and cleaning up.
When running the Mocha CLI, provide --require mocha-snap
to enable the hook.
Alternatively you can add the require
option to your .mocharc
to look something like:
{
"require": ["mocha-snap"]
}
Inline snapshots
Example
import snap from "mocha-snap";
it("takes a snapshot", async () => {
await snap.inline({
hello: "world",
});
});
The above will format the data passed to snap.inline
and update the test file to pass the expected content in as the second argument.
This will then update the test to include the following:
await snap.inline(
{
hello: "world",
},
`{ hello: "world" }`
);
After that point the expected and actual values are compared and an error is thrown if there is no match. You can update the snapshot from the cli.
File snapshots
Example
import snap from "mocha-snap";
it("takes a snapshot", async () => {
await snap({
hello: "world",
});
});
The above will format the data passed to snap
and save it to %TEST_DIRECTORY%/__snapshots__/takes-a-snapshot.expected.txt
.
If the snapshot file already exists, it will be compared with the current content and an error is thrown if there is no match. You can update the snapshot from the cli.
Custom file name output
The second parameter to mocha-snap
is the name
property which can override the default .txt
file extension for the output snapshots (except when an error occurs).
It can be useful to create utility functions for snapshotting different types of data to both normalize it, and provide the file extension.
Below we create simple JSON and HTML snapshot wrappers.
import snap from "mocha-snap";
const snapHTML = (val) => snap(val, { ext: ".html" });
const snapJSON = (val) => snap(JSON.stringify(val), { ext: ".json" });
it("takes an html snapshot", async () => {
await snapHTML("<h1>Hello World!</h1>");
});
it("takes a json snapshot", async () => {
await snapJSON({ hello: "world" });
});
The name
property can also be a file path which will be created within a snapshot folder with the name of the current test.
it("takes a nested snapshot", async () => {
await snap("Hello", { file: "part-1.txt" }); // Outputs a folder snapshot with a "part-1.txt" file.
await snap("World", { file: "part-2.txt" }); // Adds another file ("part-2.txt") to the the above snapshot folder.
await snap("!", { file: "nested/part-3.txt" }); // Creates another folder within the output ("nested") with the file "part-3.txt".
});
When multiple snapshots would have the same resolved file name, the test name is prefixed with an incrementing id. This means the following is also perfectly fine.
it("takes a nested snapshot", async () => {
await snap("Hello"); // outputs as normal
await snap("World"); // outputs with a `.1` prefix
});
Custom __snapshots__
folder
By default the __snapshots__
folder is created in the same directory as the running test, but you can override this by passing in the third parameter dir
.
it("puts snapshot somewhere else", async () => {
await snap("Hello", { ext: ".md", dir: process.cwd() }); // Put the snapshot in the project root, instead of beside this test.
});
Output files
Unlike some snapshotting tools this module outputs an individual file per snapshot call. This makes it easier to analyze, diff and manage the individual snapshots.
Output snapshots match the following format: %TEST_DIRECTORY%/__snapshots__/<TEST_NAME><ACTUAL_OR_EXPECTED><NAME>
.
TEST_DIRECTORY
: the folder the current test is in.TEST_NAME
: a file friendly name for the current test test. Each parent suite will create a new nested directory.ACTUAL_OR_EXPECTED
: will be.expected
when updating a test, and.actual
when a test has failed the comparison.NAME
: If theext
is passed (eg.json
) it is appended directly to the test file, otherwise thefile
is joined by a path separator allowing (egresult.json
will output a file in the current test folder calledresult.json
). If neitherext
norfile
is provided,.txt
will be used as theext
.
An example output file might look like src/my-component/__tests__/__snapshots__/my-test-suite/my-test-name.expected.txt
.
Updating
Run your test command with --update
.
If the snapshot was previously empty it is auto saved, even without --update
being used.
mocha --update
Or set the UPDATE_SNAPSHOTS
environment variable.
UPDATE_SNAPSHOTS=1 mocha
Serializing snapshots
If a string
is passed to one of the snapshot api's that string will be saved as the raw snapshot content.
If anything else is passed it is first serialized using using util.inspect.
Catching errors
You can also pass a function the snap.catch
or snap.inline.cach
apis which will execute the function, await
any returned promises, and snapshot the thrown errors.
The useful part here is that during that function execution all errors (including uncaught ones) are tracked. If there are any errors before we take the snapshot, the entire snapshot will error. This allows you to snapshot test your errors, in aggregate.
it("should throw some exceptions", async () => {
await snap.catch(async () => {
setTimeout(() => {
throw new Error("Fail during snapshot!");
}, 100);
await sleep(1000);
return "success";
});
});