Create First Project#

Let’s build a toy application with Jina. To start, we use Jina CLI to make a new project for us:

jina new hello-jina

This will create a new project folder called hello-jina with the following file structure:

hello-jina/
    |- client.py
    |- flow.yml
    |- executor1/
            |- config.yml
            |- executor.py
  • flow.yml is the configuration file for the Jina Flow.

  • executor1/ is where we’ll write our Executor code.

  • config.yml is the config file for the Executor. It’s where you keep metadata for your Executor, as well as dependencies.

  • client.py is the entrypoint of your Jina project. You can run it via python app.py.

There may be some other files like README.md, requirements.txt to provide extra metadata about that Executor. More information can be found here.

Now run it and observe the output of the server and client.

jina flow --uses flow.yml
──── 🎉 Flow is ready to serve! ────
╭────────────── 🔗 Endpoint ───────────────╮
│  ⛓     Protocol                    GRPC  │
│  🏠       Local           0.0.0.0:54321  │
│  🔒     Private    192.168.200.56:54321  │
│  🌍      Public    81.223.121.124:54321  │
╰──────────────────────────────────────────╯
python client.py
['hello, world!', 'goodbye, world!']

Add logics#

You can use any Python library in Executor. For example, let’s add pytorch to executor1/requirements.txt and crunch some numbers.

In executor.py, let’s add another endpoint /get-tensor as follows:

import numpy as np
import torch

from jina import Executor, requests, DocumentArray


class MyExecutor(Executor):
    @requests
    def foo(self, docs: DocumentArray, **kwargs):
        docs[0].text = 'hello, world!'
        docs[1].text = 'goodbye, world!'

    @requests(on='/crunch-numbers')
    def bar(self, docs: DocumentArray, **kwargs):
        for doc in docs:
            doc.tensor = torch.tensor(np.random.random([10, 2]))

Kill the last server by ctrl-C and restart the server by jina flow --uses flow.yml.

Call /crunch-number endpoint#

Modify client.py to call /crunch-numbers endpoint:

from jina import Client, DocumentArray

if __name__ == '__main__':
    c = Client(host='grpcs://1655d050ad.wolf.jina.ai')
    da = c.post('/crunch-numbers', DocumentArray.empty(2))
    print(da.tensors)

Once we save that, we can run our new client:

python client.py
tensor([[[0.9594, 0.9373],
         [0.4729, 0.2012],
         [0.7907, 0.3546],
         [0.6961, 0.7463],
         [0.3487, 0.7837],
         [0.7825, 0.0556],
         [0.3296, 0.2153],
         [0.2207, 0.0220],
         [0.9547, 0.9519],
         [0.6703, 0.4601]],

        [[0.9684, 0.6781],
         [0.7906, 0.8454],
         [0.2136, 0.9147],
         [0.3999, 0.7443],
         [0.2564, 0.0629],
         [0.4713, 0.1018],
         [0.3626, 0.0963],
         [0.7562, 0.2183],
         [0.9239, 0.3294],
         [0.2457, 0.9189]]], dtype=torch.float64)

Deploy to JCloud#

JCloud offers free CPU and GPU instances to host Jina project. Let’s deploy our first project to JCloud.

jina auth login

Log in with your Github, Google or Email account.

jina cloud deploy ./
../../_images/deploy-jcloud-ongoing.png

Deployment is fully automatic and takes a few minutes.

After it is done, you should see the following message in the terminal.

╭────────────── 🎉 Flow is available! ──────────────╮
│                                                   │
│   ID            1655d050ad                        │
│   Endpoint(s)   grpcs://1655d050ad.wolf.jina.ai   │
│                                                   │
╰───────────────────────────────────────────────────╯

Now let’s change the Client’s code to use the deployed endpoint shown above:

from jina import Client, DocumentArray

if __name__ == '__main__':
    c = Client(host='grpcs://1655d050ad.wolf.jina.ai')
    da = c.post('/crunch-numbers', DocumentArray.empty(2))
    print(da.tensors)

Tip

The very first request can be a bit slow because the server is starting up.

tensor([[[0.4254, 0.4305],
         [0.6200, 0.5783],
         [0.7989, 0.8742],
         [0.1324, 0.7228],
         [0.1274, 0.6538],
         [0.1533, 0.7543],
         [0.3025, 0.7702],
         [0.6938, 0.9289],
         [0.5222, 0.7280],
         [0.7298, 0.4923]],

        [[0.9747, 0.5026],
         [0.6438, 0.4007],
         [0.0899, 0.8635],
         [0.3142, 0.4142],
         [0.4447, 0.2540],
         [0.1109, 0.6260],
         [0.3850, 0.9894],
         [0.0845, 0.7538],
         [0.1444, 0.5136],
         [0.3368, 0.6162]]], dtype=torch.float64)

Delete the deployed project#

Don’t forget to delete a Flow if you are not using it anymore.

jina cloud remove 1655d050ad
Successfully removed Flow 1655d050ad.

You just finished your first Jina toy project, congrats! You can now start your own project.