MicroDraw is a collaborative vectorial annotation tool for ultra high resolution data, such as that produced by high-throughput histology.
Data visualisation uses OpenSeadragon, and data annotation uses Paper.js.
As of July 2018
-
Install nodejs
-
Install mongo
-
Checkout the repository
git clone https://github.com/neuroanatomy/microdraw.git
-
cd microdraw
-
install the project
- cd into microdraw
npm install
npm run build-pages
- drop the
.example
incfg.json.example
- drop the
.example
inapp/auth/github-keys.json.example
- drop the
.example
inapp/controller/microdrawWebsocketServer/whitelist.json.example
- drop the
.example
inapp/controller/microdrawWebsocketServer/blacklist.json.example
-
run the project
- in one terminal window start
mongod
database and leave it run - in another terminal: cd into microdraw folder:
npm start
- in one terminal window start
-
open http://localhost:3000 to see MicroDraws landing page and click any of the data links provided
-
test data can be viewed at http://localhost:3000/data?source=/test_data/cat.json
- checkout the repository
git clone https://github.com/neuroanatomy/microdraw.git
cd microdraw
docker-compose build
docker-compose up
- open http://localhost:3000 to see MicroDraw's landing page and click any of the data links provided
- test data can be viewed at http://localhost:3000/data?source=/test_data/cat.json
Microdraw utilises passportjs to manage user login. By default, Microdraw is configured to use Github
and local
strageties.
You may also want to set the session secret by setting the environment variable: SESSION_SECRET=MySuperDuperSecret
- Get your Github developer keys for your local microdraw url
- go to
https://github.com/settings/applications/new
and add a new application - App name: MicroDraw development for example
- Homepage URL: http://localhost:3000
- Authorization callback URL: http://localhost:3000/auth/github/callback (this may differ between your development/production instances)
- go to
- copy paste client id, client secret and callback URL into
./app/auth/github-keys.json
- Set environment variable:
LOCALSIGNIN=true
n.b. it is highly advised to not use local strategies to manage users unless absolutely necessary.
Microdraw uses mongodb to manage the annotations by default. You may choose to use a different solution, by replacing ./app/db/db.js
and replace with your own backend.
You can set a custom endpoint for mongodb by setting the environment variable : MONGODB=url-to-mongo:27017/db_name
In order to access the user specific annotation, logged in user can visit token
endpoint on a logged in browser. This will generate a token, which, when appended as a query param with the key token
can be used as proxy to user login.
# get annotations
curl -XGET /api?source=/path/to/file&slice=12&token=FAKE_TOKEN
# save annotation
curl -XPOST /api?source=/path/to/file&slice=12token=FAKE_TOKEN -H "Content-Type: application/json" -d"{\"hello\":\"world\"}"
# save annotation via API
# note that only the files in the `data` field is parsed and saved
curl -XPOST /api?action=save&source=/path/to/file&slice=12token=FAKE_TOKEN -F "data=@/path/to/file.json"
# append annotation via API
# note that only the files in the data field is parsed and appended
curl -XPOST /api?action=append&source=/path/to/file&slice=12token=FAKE_TOKEN -F "data=@/path/to/file.json"
multer is used to handle uploaded file. An optional TMP_DIR environmental variable can be set for the uploaded json file to be saved to disk. If unset, multer is configured to use buffer storage.
The token expires after 24 hours by default (can be changed by setting env TOKEN_DURATION
)
TODO
Deploy environments may not allow for fs
access. As a result, Microdraw uses memory storage by default. This can lead to OOM. If TMP_DIR
env is set, Microdraw will use TMP_DIR
to write uploaded file.
- cd to /public directory, put yourDataFolder here which must contain
- a folder with the folders with your data tiles in dzi format
- the .dzi file containing the information about your data (generated by the converter)
- a json file containing information about your data in the following form:
{ "pixelsPerMeter": 1000000, "tileSources": [ "yourDataFolder/yourData.dzi" ] }
This project is licensed under GNU GPL v3 or any later version.