From 14e5c066c684fd6fb3afff3047d388846e484980 Mon Sep 17 00:00:00 2001 From: Hrishikesh Paul Date: Wed, 5 Aug 2020 17:35:18 -0400 Subject: [PATCH] updated README --- README.md | 99 +++++++++++++++++++++++++------------ src/assets/github_logo.png | Bin 34907 -> 23394 bytes src/assets/workflow.png | Bin 0 -> 589278 bytes 3 files changed, 67 insertions(+), 32 deletions(-) create mode 100644 src/assets/workflow.png diff --git a/README.md b/README.md index b765c6db..8bd2b2fd 100644 --- a/README.md +++ b/README.md @@ -1,33 +1,44 @@ # HuBMAP CCF ASCT+B Reporter -The [CCF ASCT Reporter](https://hubmapconsortium.github.io/ccf-asct-reporter/) is a basic visualization tool for displaying the [flattened ASCT tables](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=1218756021) built using Angular 9. +The [CCF ASCT Reporter](https://hubmapconsortium.github.io/ccf-asct-reporter/) is a basic visualization tool for displaying the [flattened ASCT tables](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=1218756021) built using Angular 10. [![Build Status](https://img.shields.io/badge/build-passing-brightgreen)](https://github.com/hubmapconsortium/ccf-asct-reporter) [![license](https://img.shields.io/github/license/hrishikeshpaul/portfolio-template?style=flat&logo=appveyor)](https://github.com/hubmapconsortium/ccf-asct-reporter/blob/master/LICENSE) -[![angular version](https://img.shields.io/badge/angular%20version-9.1.9-red?style=flat&logo=appveyor)](https://github.com/hubmapconsortium/ccf-asct-reporter/blob/master/LICENSE) -[![npm version](https://img.shields.io/badge/npm-6.14-orange?style=flat&logo=appveyor)](https://github.com/npm/cli) ![HuBMAP CCF Reporter](src/assets/github_logo.png) ## Overview -The [CCF ASCT+B Reporter](https://hubmapconsortium.github.io/ccf-asct-reporter/) iincludes a partonomy tree that presents relationships between various anatomical structures and substructures, that is combined with their respective cell types and biomarkers via a bimodal network. The reporter also presents an indented list tree for a more traditional look. Along with visualizing, the reporter has a report generator that enlists various meta data for the visualized ASCT table, which is downloadable. There is also an in-house debug logger that lists any issues related to the data provided in the table. + +The [CCF ASCT+B Reporter](https://hubmapconsortium.github.io/ccf-asct-reporter/) iincludes a partonomy tree that presents relationships between various anatomical structures and substructures, that is combined with their respective cell types and biomarkers via a bimodal network. The reporter also presents an indented list tree for a more traditional look. Along with visualizing, the reporter has a report generator that enlists various meta data for the visualized ASCT table, which is downloadable. There is also an in-house debug logger that lists any issues related to the data provided in the table. The reporter is also accompanied by a backend server, [ASCT+B Data Miner](https://asctb-data-miner.herokuapp.com/). ## Installation For development, ```shell $ git clone https://github.com/hubmapconsortium/ccf-asct-reporter $ cd ccf-asct-reporter + +# Reporter $ npm install $ ng serve + +# Miner +$ cd data-miner +$ npm install +$ npm start ``` For deployment, ```shell $ git clone https://github.com/hubmapconsortium/ccf-asct-reporter $ cd ccf-asct-reporter + +# Reporter $ npm run build $ npm run deploy + +# Miner +$ git subtree push --prefix data-miner miner master ``` For updating table data, @@ -47,9 +58,19 @@ $ npm run data # for updating a specific sheet 6. [Lymph Nodes](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=272157091) 7. [Heart](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=1799670106) 8. [Skin](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=1268820100) +9. [Brain](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=478407375) +10. [Lung](https://docs.google.com/spreadsheets/d/1j_SLhFipRWUcRZrCDfNH15OWoiLf7cJks7NVppe3htI/edit#gid=1167730392) ### How it works -This section describes the constuctution of the various visualizations and features that the reporter houses. +This section describes the constuctution of the various visualizations and features that the reporter houses. After recieving the data, the first 11 rows are stipped out which contains the headers and the credits which are not required for the visualization. + +#### Workflow Diagram + +![ASCT+B Reporter Workflow](src/assets/workflow.png) + +#### Data Retrieval + +The data to build the visualizations is fetched from Google Sheets via a constructued URL that exports the sheet. But due to increased number of exports Google Sheet rate limits (or possibly blocks) certain domains and prevents any additional exports. Therefore, if the data retrieval from Google Sheets fails, the Reproter fetches the ASCT+B Data Miner. In an event the miner too fails to extract the data, the Reporter falls back on CSVs that have been stored in the assets. This is termed as 'System Cache', and is updated on every deployment. #### Partonomy Tree The partonomy tree visualizes anatomical structures and substructures. They are color coded in red. It makes use of [Vega's Tree Layout](https://vega.github.io/vega/examples/tree-layout/) to visualize relationships between anatomical structures and substructures. This is housed in the [Tree Component](https://github.com/hubmapconsortium/ccf-asct-reporter/blob/master/src/app/tree/tree.component.ts). @@ -66,30 +87,7 @@ After the partonomy tree is rendered onto the DOM, the function [`makeASCTData() - Group 2: Cell Types - Group 3: Biomarkers -After all the nodes have been pushed using the [`BMNode`](https://github.com/hubmapconsortium/ccf-asct-reporter/blob/d6b98bff6fc8d88c14ee8c38809a063db39d31bc/src/app/bimodal/bimodal.service.ts#L9) class, the links are constucted. This is done by using the position of the nodes in the `nodes` array, specifying the source (`s`) and the target(`t`). A sample of how the `ASCTGraphData` looks like is shown below, -```js -nodes:[ - ..., - { - color: "#808080", - fontSize: 14, - group: 1, - id: 1, - name: "Penincillar Arterioles", - nodeSize: 300, - x: 0, - y: 104.875, - }, - ... -], -links: [ - ..., - { - s: 0 // source node - t: 24 // target node - } -] -``` +After all the nodes have been pushed using the [`BMNode`](https://github.com/hubmapconsortium/ccf-asct-reporter/blob/d6b98bff6fc8d88c14ee8c38809a063db39d31bc/src/app/bimodal/bimodal.service.ts#L9) class, the links are constucted. This is done by using the position of the nodes in the `nodes` array, specifying the source (`s`) and the target(`t`) The bimodal network contans a few functions that is used to sort the nodes, 1. Sort Alphabetically: Alphabetically sorts the nodes. @@ -98,6 +96,13 @@ The bimodal network contans a few functions that is used to sort the nodes, Each node in the network can be hovered over to highlight its path links. Additionally, for better visual purposes, a node can be clicked to bold its name and persist the color of the path connecting the nodes. Clicking on an AS node colors the AS to CT paths, as well as CT to B paths. Clicking on a B node highlights the B to CT paths and CT to AS paths. Any clicked node can be clicked again to unbold and dehighlight. +Hovering over a node also reveals a floating tooltip, that has the following information, +- Name +- Degree +- Indegree +- Outdegree +- Uberon/Link + #### Indent List This visualization is a traditional, hierarchical structure. This displays anatomical structures, sub-structures and cell types. This is housed in the [Indent component](https://github.com/hubmapconsortium/ccf-asct-reporter/blob/master/src/app/indent/indent.component.ts). This makes use the of [Angular Material Tree](https://material.angular.io/components/tree/overview). @@ -120,13 +125,13 @@ The Debug Log lists warnings and errors that occurred during data parsing and vi - **All Tab**: This tab displays messages for the entire user session. Similar messages are clubbed together, and displayed via an expansion panel that can be clicked to reveal the messages. The logs that are currently supported are given below, -- Nodes with multiple in-links -- Nodes with no out-links +- Nodes with multiple in-links (can be clicked on to expand/collapse) +- Nodes with no out-links (can be clicked on to expand/collapse) - Sheet changes - Tree successfully/unsuccessfully rendering #### Export -The ASCT+B Reporter visualization can be saved out in PNG (Portable Network Graphics) and SVG (Scalable Vector Graphics File) format. This can be done by clicking on the download button on the navigation toolbar on the top (beside the refresh icon) and selecting the suitable image format. +The ASCT+B Reporter visualization can be saved out in PNG (Portable Network Graphics) and SVG (Scalable Vector Graphics File) format. The Vega Specification can also be exported in JSON format. The data that is currently being supplied to the visualization gets saved in this JSON too. This can be done by clicking on the download button on the navigation toolbar on the top (beside the refresh icon) and selecting the suitable image format. ### Scripts @@ -148,6 +153,25 @@ For additional help, $ npm run data help ``` +### Data Miner + +The reporter is also accompanied by a backend server - [ASCT+B Data Miner](https://asctb-data-miner.herokuapp.com/). In the event of Google Sheets blocking requests by the Reporter or any error, the Reporter fetches the data from the Data Miner which runs a simple Node script to fetch the data from Google Sheets. By supplying the SheetId and GID to the Data Miner, the data from the flattened tables can be retrieved. If for some reason the Data Miner also fails to retrieve the data, the Reporter falls to its system cache, which contains a snapshot of the flattened tables. + +The Miner can also be used as a stand-alone tool to retrieve the data from the flattened google sheets. Below is the API that you'll have to use, + +`https://asctb-data-miner.herokuapp.com//` + +This will either return the CSV data as a string, or will return a `500` HTTP code. + +#### Deploying + +Since the ASCT+B Data Miner is a dynamic script, Heroku has been used to deploy the server. Heroky is free to use for this usage. Deploying on Heroku requires the `data-miner` folder to have an additional git remote. To deploy the latest changes to the Heroku cloud, + +```shell +$ git add data-miner +$ git commit -m +$ git subtree push --prefix data-miner miner master +``` ## Snippets ![Partonomy Tree](src/assets/snippets/tree.png) @@ -157,5 +181,16 @@ $ npm run data help ![Report](src/assets/snippets/report.png) ![Debug Logs](src/assets/snippets/log.png) +## Contributing + +If you'd like to contribute, follow the steps below, +```shell +$ git clone https://github.com/hubmapconsortium/ccf-asct-reporter +$ cd ccf-asct-reporter +$ git checkout -b +``` + +Commit the changes to the new feature branch and make a pull request! + ## License [MIT](https://choosealicense.com/licenses/mit/) \ No newline at end of file diff --git a/src/assets/github_logo.png b/src/assets/github_logo.png index 45afb34191edaab860f28e00cb80c57a258fc61d..37831a3a7f47362c3e00967b514d41f0e89efdea 100644 GIT binary patch literal 23394 zcmeGCWmH?i+6D|m4Jcj;v^WKdLve=|cPPQNSkYj?gS5qph2kDcarfX*ytqRkK#IG& 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