From c6bc9525696442a6ac5ed428f0c60cb4a450eead Mon Sep 17 00:00:00 2001 From: Rudy Haryanto Date: Tue, 4 Oct 2022 03:34:47 +0700 Subject: [PATCH 1/3] Add documentation based on docusarus for opendbm --- docs/.alexignore | 8 + docs/.alexrc.js | 24 + docs/.eslintrc.json | 26 + docs/.prettierrc | 36 + docs/LICENSE | 21 + docs/LICENSE-docs | 393 + docs/docs/_markdown-m1-cocoapods.mdx | 11 + .../_markdown-new-architecture-warning.mdx | 7 + docs/docs/action-units.md | 41 + docs/docs/amount-data-needed.md | 8 + docs/docs/audio-guidelines.md | 22 + docs/docs/audio-intensity.md | 19 + docs/docs/basic-usage.md | 376 + docs/docs/beginner-installation.md | 115 + docs/docs/behavioral-considerations.md | 38 + docs/docs/biomaker-variables.md | 21 + docs/docs/data-guidelines.md | 11 + docs/docs/dependencies-installation.md | 84 + docs/docs/derived-variables.md | 24 + docs/docs/emotional-expressivity.md | 36 + docs/docs/eye-blink-behavior.md | 24 + docs/docs/eye-gaze-directionality.md | 40 + docs/docs/facial-activity.md | 8 + docs/docs/facial-asymmetry.md | 28 + docs/docs/facial-landmark.md | 27 + docs/docs/facial-tremor.md | 18 + docs/docs/formant-frequencies.md | 24 + docs/docs/fundamental-frequency.md | 22 + .../docs/glottal-to-noise-excitation-ratio.md | 21 + docs/docs/harmonics-to-noise-ratio.md | 21 + docs/docs/head-movement.md | 42 + docs/docs/introduction.md | 54 + docs/docs/jitter.md | 21 + docs/docs/lexical-richness.md | 14 + docs/docs/mac-linux-usage.md | 100 + docs/docs/more-resources.md | 43 + docs/docs/opendbm-docker-output.md | 43 + docs/docs/opendbm-docker-usage.md | 100 + docs/docs/openface-docker-installation.md | 96 + docs/docs/overall-expressivity.md | 34 + docs/docs/pain-expressivity.md | 26 + docs/docs/parts-of-speech.md | 24 + docs/docs/pause-characteristics.md | 28 + docs/docs/pro-installation.md | 20 + docs/docs/rate-of-speech.md | 15 + docs/docs/raw-variables.md | 22 + docs/docs/sentiment-of-speech.md | 12 + docs/docs/shimmer.md | 21 + docs/docs/speech.md | 8 + docs/docs/supported-file-types.md | 6 + docs/docs/tutorial.md | 10 + docs/docs/verbal-acoustic.md | 14 + docs/docs/video-guidelines.md | 20 + docs/docs/vocal-tremor.md | 28 + docs/docs/voice-prevalence.md | 20 + docs/docs/windows-usage.md | 117 + docs/netlify.toml | 25 + docs/package-lock.json | 32708 ++++++++++++++++ docs/package.json | 36 + docs/yarn-error.log | 10369 +++++ docs/yarn.lock | 10301 +++++ readme.md | 151 +- 62 files changed, 56077 insertions(+), 5 deletions(-) create mode 100644 docs/.alexignore create mode 100644 docs/.alexrc.js create mode 100644 docs/.eslintrc.json create mode 100644 docs/.prettierrc create mode 100644 docs/LICENSE create mode 100644 docs/LICENSE-docs create mode 100644 docs/docs/_markdown-m1-cocoapods.mdx create mode 100644 docs/docs/_markdown-new-architecture-warning.mdx create mode 100644 docs/docs/action-units.md create mode 100644 docs/docs/amount-data-needed.md create mode 100644 docs/docs/audio-guidelines.md create mode 100644 docs/docs/audio-intensity.md create mode 100644 docs/docs/basic-usage.md create mode 100644 docs/docs/beginner-installation.md create mode 100644 docs/docs/behavioral-considerations.md create mode 100644 docs/docs/biomaker-variables.md create mode 100644 docs/docs/data-guidelines.md create mode 100644 docs/docs/dependencies-installation.md create mode 100644 docs/docs/derived-variables.md create mode 100644 docs/docs/emotional-expressivity.md create mode 100644 docs/docs/eye-blink-behavior.md create mode 100644 docs/docs/eye-gaze-directionality.md create mode 100644 docs/docs/facial-activity.md create mode 100644 docs/docs/facial-asymmetry.md create mode 100644 docs/docs/facial-landmark.md create mode 100644 docs/docs/facial-tremor.md create mode 100644 docs/docs/formant-frequencies.md create mode 100644 docs/docs/fundamental-frequency.md create mode 100644 docs/docs/glottal-to-noise-excitation-ratio.md create mode 100644 docs/docs/harmonics-to-noise-ratio.md create mode 100644 docs/docs/head-movement.md create mode 100644 docs/docs/introduction.md create mode 100644 docs/docs/jitter.md create mode 100644 docs/docs/lexical-richness.md create mode 100644 docs/docs/mac-linux-usage.md create mode 100644 docs/docs/more-resources.md create mode 100644 docs/docs/opendbm-docker-output.md create mode 100644 docs/docs/opendbm-docker-usage.md create mode 100644 docs/docs/openface-docker-installation.md create mode 100644 docs/docs/overall-expressivity.md create mode 100644 docs/docs/pain-expressivity.md create mode 100644 docs/docs/parts-of-speech.md create mode 100644 docs/docs/pause-characteristics.md create mode 100644 docs/docs/pro-installation.md create mode 100644 docs/docs/rate-of-speech.md create mode 100644 docs/docs/raw-variables.md create mode 100644 docs/docs/sentiment-of-speech.md create mode 100644 docs/docs/shimmer.md create mode 100644 docs/docs/speech.md create mode 100644 docs/docs/supported-file-types.md create mode 100644 docs/docs/tutorial.md create mode 100644 docs/docs/verbal-acoustic.md create mode 100644 docs/docs/video-guidelines.md create mode 100644 docs/docs/vocal-tremor.md create mode 100644 docs/docs/voice-prevalence.md create mode 100644 docs/docs/windows-usage.md create mode 100644 docs/netlify.toml create mode 100644 docs/package-lock.json create mode 100644 docs/package.json create mode 100644 docs/yarn-error.log create mode 100644 docs/yarn.lock diff --git a/docs/.alexignore b/docs/.alexignore new file mode 100644 index 00000000..3f05f8fb --- /dev/null +++ b/docs/.alexignore @@ -0,0 +1,8 @@ +# The Code of Conduct calls out language that can't be used so it's not linted. +CODE_OF_CONDUCT.md + +# We will handle the older blog posts later. +website/blog/201* + +# Alex attempts to scan License files from the website output. +website/build/ diff --git a/docs/.alexrc.js b/docs/.alexrc.js new file mode 100644 index 00000000..299a66d5 --- /dev/null +++ b/docs/.alexrc.js @@ -0,0 +1,24 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +exports.allow = [ + // We frequently refer to form props by their name "disabled". + // Ideally we would alex-ignore only the valid uses (PRs accepted). + 'invalid', + + // Unfortunately "watchman" is a library name that we depend on. + 'watchman-watchwoman', + + // ignore rehab rule, Detox is an e2e testing library + 'rehab', + + // host refers to host objects in native code + 'host-hostess', +]; + +// Use a "maybe" level of profanity instead of the default "unlikely". +exports.profanitySureness = 1; diff --git a/docs/.eslintrc.json b/docs/.eslintrc.json new file mode 100644 index 00000000..ff6320b5 --- /dev/null +++ b/docs/.eslintrc.json @@ -0,0 +1,26 @@ +{ + "plugins": ["prettier"], + "extends": ["plugin:prettier/recommended"], + "overrides": [ + { + "files": ["*.yaml", "*.yml"], + "plugins": ["yaml"], + "extends": ["plugin:yaml/recommended"] + }, + { + "files": ["*.md", "*.mdx"], + "extends": ["plugin:mdx/recommended"] + } + ], + "parserOptions": { + "sourceType": "module", + "ecmaVersion": "latest", + "ecmaFeatures": { + "jsx": true, + "modules": true + } + }, + "settings": { + "mdx/code-blocks": false + } +} diff --git a/docs/.prettierrc b/docs/.prettierrc new file mode 100644 index 00000000..43f7d62d --- /dev/null +++ b/docs/.prettierrc @@ -0,0 +1,36 @@ +{ + "overrides": [ + { + "files": "*.js", + "options": { + "arrowParens": "avoid", + "bracketSpacing": false, + "bracketSameLine": true, + "printWidth": 80, + "singleQuote": true, + "trailingComma": "es5", + "endOfLine": "auto" + } + }, + { + "files": "*.md", + "options": { + "arrowParens": "always", + "bracketSpacing": true, + "bracketSameLine": true, + "printWidth": 66, + "proseWrap": "preserve", + "singleQuote": true, + "trailingComma": "none", + "endOfLine": "auto" + } + }, + { + "files": ["*.scss", "*.css"], + 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Except for the limited purpose of indicating +that material is shared under a Creative Commons public license or as +otherwise permitted by the Creative Commons policies published at +creativecommons.org/policies, Creative Commons does not authorize the +use of the trademark "Creative Commons" or any other trademark or logo +of Creative Commons without its prior written consent including, +without limitation, in connection with any unauthorized modifications +to any of its public licenses or any other arrangements, +understandings, or agreements concerning use of licensed material. For +the avoidance of doubt, this paragraph does not form part of the public +licenses. + +Creative Commons may be contacted at creativecommons.org. \ No newline at end of file diff --git a/docs/docs/_markdown-m1-cocoapods.mdx b/docs/docs/_markdown-m1-cocoapods.mdx new file mode 100644 index 00000000..41161b15 --- /dev/null +++ b/docs/docs/_markdown-m1-cocoapods.mdx @@ -0,0 +1,11 @@ +
+ Note for Mac M1 users + +Mac M1 architecture is not directly compatible with Cocoapods. If you encounter issues when installing pods, you can solve it by running: + +- `sudo arch -x86_64 gem install ffi` +- `arch -x86_64 pod install` + +These commands install the `ffi` package, to load dynamically-linked libraries and let you run the `pod install` properly, and runs `pod install` with the proper architecture. + +
diff --git a/docs/docs/_markdown-new-architecture-warning.mdx b/docs/docs/_markdown-new-architecture-warning.mdx new file mode 100644 index 00000000..d52c4901 --- /dev/null +++ b/docs/docs/_markdown-new-architecture-warning.mdx @@ -0,0 +1,7 @@ +:::caution + +This documentation is still **experimental** and details are subject to changes as we iterate. Feel free to share your feedback on the [discussion inside the working group](https://github.com/reactwg/react-native-new-architecture/discussions/8) for this page. + +Moreover, it contains several **manual steps**. Please note that this won't be representative of the final developer experience once the New Architecture is stable. We're working on tools, templates and libraries to help you get started fast on the New Architecture, without having to go through the whole setup. + +::: diff --git a/docs/docs/action-units.md b/docs/docs/action-units.md new file mode 100644 index 00000000..67295aea --- /dev/null +++ b/docs/docs/action-units.md @@ -0,0 +1,41 @@ +--- +id: action-units +title: Action units +--- + +Action units (AUs) are individual facial musculature arrangements specified in the [Facial Action Coding System (FACS)](https://en.wikipedia.org/wiki/Facial_Action_Coding_System), combinations of which can account for all possible facial expressions[^1]. OpenDBM outputs framewise values for AU presence and intensity for the following AUs: + +| Action unit number | Description | +| ----------- | ----------- | +| AU1 | Inner brow raiser | +| AU2 | Outer brow raiser | +| AU4 | Brow lowerer | +| AU5 | Upper lid raiser | +| AU6 | Cheek raiser | +| AU7 | Lid tightener | +| AU9 | Nose wrinkler | +| AU12 | Lip corner puller | +| AU15 | Lip corner depressor | +| AU16 | Lower lip depressor | +| AU20 | Lip stretcher | +| AU23 | Lip tightener | +| AU26 | Jaw drop | + +For each of the AUs in the table above, the following raw variables are calculated: + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_auXXpres` | **Action Unit presence,** where XX refers to the action unit. This is a binary (1/0) variable, where 1 signifies presence of the action unit and 0 signifies its absence as determined by OpenFace. | +| `fac_auXXint` | **Action Unit intensity,** where XX refers to the action unit. This is a continuous (0-5) variable, where 0 signifies no presence and 5 signifies maximum presence, as determined by OpenFace. | +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_auXXpres_pct` | **Action Unit presence percentage.** Using the binary vector fac_auXXpres, the percentage of video frames where an AU was present is calculated into this variable. | +| `fac_auXXint_mean` | **Action Unit intensity mean.** Mean value of fac_auXXint over the course of the video. | +| `fac_auXXint_std` | **Action Unit intensity standard deviation.** Standard deviation of fac_auXXint over the course of the video. | + + +[^1]: Ekman, R. (1997). What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS). Oxford University Press, USA. \ No newline at end of file diff --git a/docs/docs/amount-data-needed.md b/docs/docs/amount-data-needed.md new file mode 100644 index 00000000..a8376711 --- /dev/null +++ b/docs/docs/amount-data-needed.md @@ -0,0 +1,8 @@ +--- +id: amount-data-needed +title: Amount of Data Needed +--- + +This is one of the more common questions we get and I’m sorry to say there really isn’t one answer that applies here, as one can imagine. I can point to [some of our work](https://docs.google.com/spreadsheets/u/2/d/1pRBWCCFMbEgZNQzm2Litm3RUQ6glwUwswrqGDePMvh0/edit?usp=drive_web&ouid=112869092988495381590) using OpenDBM and you can look at the sample sizes in there (which are fairly small). But here are some truths. More data is of course always better; no denying that. Video and audio data, though, is quite rich, and the length of behavior one would need to see effects (in our experience) is not hours, but minutes and sometimes just seconds. Importantly, this differs depending on the patient population and the behaviors during which the measures are being quantified. The only real advice we can provide in this matter is to search the literature and see what it says. In most cases, there is precedent to lean on. That can help with selecting the number of patients, time points, and length of video/audio needed to see effects. + +Good luck! \ No newline at end of file diff --git a/docs/docs/audio-guidelines.md b/docs/docs/audio-guidelines.md new file mode 100644 index 00000000..a57ef19d --- /dev/null +++ b/docs/docs/audio-guidelines.md @@ -0,0 +1,22 @@ +--- +id: audio-guidelines +title: Audio Guidelines +--- + +Similar to video, the assumption here is that it is the voice and speech of a patient that is being characterized. OpenDBM calculates acoustic measures from the sound wave that it is getting. So, if there is any sound in the audio file that is not the patient’s voice, OpenDBM does not separate that out, and any subsequent measurements (think: the loudness of the sound, frequency of the waveform, and other acoustic features like the harmonics to noise ratio) will be from of all the sound in the audio file––and not just the patient’s voice. Similarly, if our objective is to characterize aspects of the speech, OpenDBM is transcribing all the speech that it can hear. So, if more than one person is speaking in the audio file, you’re calculating variables from all of that speech––not just the patient’s. Below are some points to take into consideration. + +## Empty/quiet spaces + +If there is empty space at the beginning and end of an audio file, it is advised that the file is cropped at the head and the tail to ensure that the empty space does not contribute to downstream calculations. However, this does not mean that all empty space during speech should be cropped out considering those pauses in speech may actually be biomarkers of health and functioning. However, if the user's audio file contains separate sections of speech, then it is recommended that the file is trimmed accordingly. + +## Background noise + +Given the package will process variables from any audio that is inputted, that includes any background noise that may be part of the file. Background noise will lead to a lower signal-to-noise ratio for all audio marker calculations and should be minimized whenever possible. If an audio file has sustained background noise (e.g. a fan, a murmur in a room), it will affect the accuracy of the calculations. Future versions of this package may conduct additional steps to remove background noise but for now, the user must be cognizant of how other sounds in the audio file may be impacting the measurements. + +## Video data quality + +Please be cognizant of data quality. This includes ensuring that the face is close enough to the camera that individual features are distinguishable, that lighting is consistent across the face e.g. there are no strong shadows, etc. that are going across the face, which could affect the calculations. It is also important that the entirety of the face is in the frame, which can sometimes be an issue if the face is too close to the camera e.g. if the individual is recording on a smartphone front-facing camera and brings it close to their face to speak. + +## Persons per audio + +Similar to Section 6.2.2, OpenDBM’s assumption is that only one person is represented in the audio. Hence, if the audio contains the voice and/or speech of persons other than the individual whose behavior the user is trying to measure, then it is the user’s responsibility to crop out those parts of the audio. In such cases, the user can crop out all relevant sections, save them separately, and process them separately as individual files––or they can concatenate them after cropping and process them as one file. In either case, the final measurements are not affected, so we suggest doing whatever is more convenient and requires less manual work. diff --git a/docs/docs/audio-intensity.md b/docs/docs/audio-intensity.md new file mode 100644 index 00000000..8b9da901 --- /dev/null +++ b/docs/docs/audio-intensity.md @@ -0,0 +1,19 @@ +--- +id: audio-intensity +title: Audio Intensity +--- + +Audio intensity is the loudness of a sound, measured in decibels (dB). + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_int` | **Audio intensity.** Frame-wise intensity of the audio file, measured in dB. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_int_mean` | **Audio intensity mean.** Mean of `aco_int` across the audio file. | +| `aco_int_std` | **Audio intensity standard deviation.** Standard deviation of `aco_int` across the audio file. | diff --git a/docs/docs/basic-usage.md b/docs/docs/basic-usage.md new file mode 100644 index 00000000..971bb976 --- /dev/null +++ b/docs/docs/basic-usage.md @@ -0,0 +1,376 @@ +--- +id: basic-usage +title: Basic Usage +--- + + + +#### Prerequisites read +* [Dependencies Installation](dependencies-installation) +* [OpenFace Installation](openface-docker-installation) +* Make sure to install the distribution package first. + + + + +```commandline +pip install opendbm +``` + +In this section, we are gonna show the basic instruction on how to get biomarker variable from OpenDBM API + +```python +from opendbm import Movement + +# code below is how to access to other dbm groups +# from opendbm import FacialActivity, VerbalAcoustics, Speech +``` + + +```python +path = "movement_video_test.mp4" +``` + + +```python +#initiate the model +model = Movement() +``` + + +```python +#Feed input data to the model +model.fit(path) +``` + + +After we processed the data with our model, now we can get all biomarker variables related to the Movement category + + +```python +#Get facial tremor +tremor = model.get_facial_tremor() +tremor.to_dataframe().T +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
0
fac_features_mean_58.594771
fac_tremor_median_53.87593
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fac_corr_50.254649
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fac_disp_median_120.723145
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fac_features_mean_572.70601
fac_tremor_median_572.019033
fac_disp_median_570.988482
fac_corr_570.713824
error_reason
+
+ + + + +```python +##Get Eye Blink +eye_blink = model.get_eye_blink() +eye_blink.to_dataframe() +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
mov_blink_earvid_durfpsmov_blinkframesmov_blinkdurdbm_master_url
00.12456633.87731329190.655172movement_video_test.mp4
10.12534333.87731329491.034483movement_video_test.mp4
20.10871333.877313291202.448276movement_video_test.mp4
30.09755333.877313291691.689655movement_video_test.mp4
40.11187433.877313292412.482759movement_video_test.mp4
50.07708233.877313293283.000000movement_video_test.mp4
60.12480433.877313293872.034483movement_video_test.mp4
70.08214933.877313295064.103448movement_video_test.mp4
80.08304133.877313295501.517241movement_video_test.mp4
90.14883633.877313296874.724138movement_video_test.mp4
100.09992633.877313297341.620690movement_video_test.mp4
110.08307833.877313298092.586207movement_video_test.mp4
120.12450133.877313298471.310345movement_video_test.mp4
130.14966833.877313299312.896552movement_video_test.mp4
+
diff --git a/docs/docs/beginner-installation.md b/docs/docs/beginner-installation.md new file mode 100644 index 00000000..158dc8c2 --- /dev/null +++ b/docs/docs/beginner-installation.md @@ -0,0 +1,115 @@ +--- +id: beginner-installation +title: Installation for Beginner +description: Beginner Installation +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; +import ThemedImage from '@theme/ThemedImage'; + +This chapter should help with getting OpenDBM set up on your system. OpenDBM is meant to be accessible to everyone––including folks who are not necessarily technical. If you feel comfortable with terminal, git, and docker, skip to Section 2.2. For everyone else, Section 2.1 accomplishes the same steps in Section 2.2––just with a lot more guidance along the way. + +## OpenDBM installation for beginners + +Alright, you want to measure digital biomarkers from your data but all of this pretty much just feels like magic right now. No worries, you do not need to know how to code to use OpenDBM. We’ll break it down for you. Let’s get started. + +### Install GitHub and clone OpenDBM + +GitHub is just where we––and most other people––store code and other stuff. They do so in ‘repositories’ or ‘repos,’ which are basically just folders of code (and other stuff). The first thing you’re going to do is clone i.e. copy/download the OpenDBM repo from GitHub into a folder on your computer. You can do this manually, even though that’s lame, or by using the GitHub CLI. + + + + +You can manually clone the repo by finding the Download ZIP button shown below: + + +
+ Screenshot of OpenDBM Github page +
Screenshot of OpenDBM Github page.
+
+ +Then, you can save the (unzipped) folder anywhere you want on your computer. Make sure it’s an easy location since you’ll have to navigate to it a lot to use OpenDBM. + + + +GitHub also has a command line interface (CLI) that allows you to conduct a lot of GitHub-related operations straight from your **Terminal** (if you’re on Mac/Linux) or **Command Prompt** (if you’re on a PC). This is really helpful down the road for a bunch of reasons. + +To get started with GitHub CLI, just follow the instructions [they’ve laid out](https://github.com/cli/cli#installation) on their website. + +Once you’re done with that, you can use the GitHub CLI to clone OpenDBM. + +But first, let’s open **Terminal / Command Prompt** and navigate to the folder where you want to store the OpenDBM code. If you have never used Terminal or Command Prompt before, no worries: These are good links for quick primers on navigating folders in [Mac](https://computers.tutsplus.com/tutorials/navigating-the-terminal-a-gentle-introduction--mac-3855) and [Windows](https://riptutorial.com/cmd/example/8646/navigating-in-cmd). + +Once you’re in the folder where you want to clone OpenDBM, you can use git clone by pasting the command shown below into **Terminal / Command Prompt** and hitting Enter. Once you do that, it’ll download the OpenDBM code from GitHub onto your system (this will take a little bit). + +```bash +git clone https://github.com/AiCure/open_dbm.git +``` + +Once that’s done, you should be able to see a folder in your **Finder / File Explorer** (or from within **Terminal / Command Prompt**, of course) called open_dbm with all the contents you saw listed on the GutHub repo. Now we’re getting somewhere. + + + + +### Install Docker and build your images + +Anytime you install a proper application on your computer (e.g. let’s say you download Spotify or Skype), it will most likely come with all the things it needs to be able to run successfully. I’m sorry to say this is absolutely not the case when downloading software from GitHub. + +As has been mentioned before, OpenDBM is built ‘on top of’ a bunch of existing open source tools. That means it depends on a lot of other software to function and do the things it needs to do. And the user is responsible for scouring the internet for OpenDBM’s ‘dependencies,’ listed in the requirements.txt file that comes with it, and installing each and every one of them. + +Normally, that’s exactly what you’d have to do––and we wouldn’t feel bad about it; it’s just how things are. But, we found that some of OpenDBM’s critical dependencies, such as OpenFace, are actually quite finicky to install––even for pros. So, we’ve come up with a solution. + +We’re happy to report that OpenDBM does indeed come with all its dependencies. But there are a few extra steps involved to make that work––and it requires learning a bit about Docker. + +#### Get familiar with docker + +As is so wonderfully summarized on [this website](https://docs.microsoft.com/en-us/dotnet/architecture/microservices/container-docker-introduction/docker-defined), “Docker is an open-source project for automating the deployment of applications as portable, self-sufficient containers that can run on the cloud or on-premises. Docker is also a company that promotes and evolves this technology.” + +Basically, it packages up all the dependencies that you would otherwise have to install into a ‘container,’ where all dependencies conveniently come pre-installed. So, as long as you’re using OpenDBM from within that container, you need not worry about all the dependencies. + +This will all make more sense in a bit. + +So, follow the [instructions on the Docker website](https://docs.docker.com/desktop/) to install Docker on your system. We recommend you use the latest stable version. Once downloaded and installed, launch Docker, open Terminal / Command Prompt, and check the version to ensure that Docker is properly installed and running: + +**NOTE for Windows User**: Please use the instruction [here](openface-docker-installation#if-you-havent-heres-the-instruction-on-how-to-install-docker) to install docker and/or enable WSL 2 as Docker Integration + +```bash +% docker --version +Docker version 19.03.12, build 48a66213fe +``` + +If you’re on a Mac, Docker should also show up in your Menu bar (I would give a screenshot for PC too but unfortunately I don’t have one). Make sure it states ‘Docker Desktop is running’ + +
+ Screenshot of Docker running +
Screenshot of Docker running.
+
+ +#### Build Docker image + +When you cloned OpenDBM onto your computer, it contained a Docker file (you can see for yourself; it’s called Dockerfile). This file is basically a set of instructions that will create the docker image upon which the aforementioned Docker container will be built. Don’t sweat the details; you can build the Docker image just by using a single command. + +While in **Terminal / Command Prompt**, navigate to the inside of the folder where you cloned OpenDBM. So, if you cloned OpenDBM in **/Users/JohnWick**, then **cd** into the **open_dbm** folder so that when you type the **pwd** command, you should see that you’re in **/Users/JohnWick/open_dbm**. From here, run the following command: + +```bash +% docker build --tag dbm . +``` + +This should set off an installation script to build the docker image. It will take some time to run. On a regular Macbook Pro, that’s around 20-40 minutes to fully execute. + +Once it’s done running, you can run the following command and it should show you the Docker image that you just created. + +```bash +% docker images + +REPOSITORY TAG IMAGE ID CREATED SIZE +dbm latest 4ad5c2b21553 2 hours ago 4.98GB +``` + +If you run into any problems here, please use the [Issues](https://github.com/AiCure/open_dbm/issues) tab on the OpenDBM GitHub page to report the error you see and we will try our best to resolve it as soon as possible. We’ve even created an Issue template for you to follow that should pop up automatically. + +Let’s say you don’t run into any issues and everything runs smoothly. You’re… kinda done with installation. You can skip [Installation for Pro](pro-installation). Chapter 3 will go over how to use OpenDBM to calculate digital biomarkers from your data. Good news: That also just requires a single command. + +--- + +Now that you’ve covered OpenDBM installation, let’s dive deeper on some of these core modules by looking at [Usage](opendbm-docker-usage). diff --git a/docs/docs/behavioral-considerations.md b/docs/docs/behavioral-considerations.md new file mode 100644 index 00000000..234dbb41 --- /dev/null +++ b/docs/docs/behavioral-considerations.md @@ -0,0 +1,38 @@ +--- +id: behavioral-considerations +title: Behavioral Considerations +--- + +Individual behavior is one of the more important aspects to consider when calculating digital biomarkers. OpenDBM is blind to the different behaviors the individual is participating in within the video or audio it is processing. For example, if in the same video, the individual is demonstrating spontaneous facial behavior (e.g. responding to an open-ended question) and then later in the video are asked to *make* a face (e.g. being asked to purse their lips, as some patients are during clinical assessments of facial tremor), OpenDBM is going to make its measurements across both behaviors. So, if the user is trying to measure spontaneous emotional expressivity, they really only want to do that in the former case; not the latter. Hence, when processing markers from data using OpenDBM, the user needs to split data by behavior. + +## Splitting behaviors + +The user is most knowledgeable about the data being processed, the experimental paradigm that was used to collect it (or lack thereof), and the different clinically meaningful behaviors that may be present in it. An exhaustive list of different kinds of clinically meaningful behavior is not within the scope of this section; it depends of course on the disease population and the literature that may or may not exist regarding relevant behaviors. Below are examples of some behaviors we’ve learned to analyze separately: + +* Facial behaviors + * Spontaneous facial expressivity while resting + * Spontaneous facial expressivity while talking + * In response to neutral stimuli + * In response to valenced stimuli (e.g. talking about positively or negatively valenced images or videos, questions about symptomatology) + * Expressions made on cue (e.g. when asked to make a face such as a happy face, sad face, pursed lips, shut eyes) + * Facial expressions evoked naturally in response to stimuli (e.g. immediate visual responses such as ‘micro-expressions’ to images, videos, or other stimuli) +* Vocal acoustic behaviors + * Acoustics of voice during sustained vowel sounds (e.g. say *aah* for a few seconds, say eee for a few seconds––this is super prevalent in the literature). + * Acoustics of voice during free speech (e.g. responding to an open-ended question or just generally talking or in conversation) +* Speech behaviors + * Free speech as part of general, neutrally valenced conversation + * Free speech as part of positively or negatively valenced conversation or responding to valenced stimuli (e.g. being asked to speak about a past traumatic experience, image, or video) + * Evoked speech when asked to say something (e.g. saying the names of the days of the week or months) + * Evoked speech when asked to read something (e.g. reading a passage) +* Movement behaviors + * Free head movement when resting or speaking + * Eye gaze behaviors when looking at social vs. non-social stimuli + * Eye gaze behaviors in contexts where saccades could be measured + +As can be deduced from the list above, there are a lot of different kinds of behaviors––and each of them may or may not be relevant depending on the clinical population being studied. For example, we find that measurements of blunted affect in individuals with schizophrenia are much stronger when acquired from elicited expressions (e.g. being asked to make an expressive face) compared to during spontaneous behaviors (e.g. when responding to a question), but that the case is the opposite in individuals with Major Depressive Disorder (please note that this is not a universal truth; just something we’ve observed in our experiments). We can’t comment on which behaviors are best for the user to be able to measure the symptomatology they’re looking for––all we can suggest is diving into past literature to see if there are clues as to what behaviors are best for eliciting the disease’s symptomatology. + +## Analyzing behavioral data + +If the user is working with data that contains different patient behaviors i.e., let’s say they split up a video of a patient participating in free speech and also sustained vowel sounds into two separate videos: a free speech video and a sustained vowel sound video. The amount of digital biomarker variables the user has access to multiplies by the number of behaviors. So––let’s say the user is interested in measuring the mean fundamental frequency (Section 5.2.1) of voice. Now they have two fundamental frequency mean variables: one for free speech, one for sustained vowel sounds. In the data analysis that follows, these can essentially be treated as separate variables. + +There’s an additional point to be made here: Some variables only make sense for certain behaviors. For example, the vocal tremor variable in Section 5.4.3 is only useful in the context of sustained vowel sounds. Even in clinical examinations of vocal tremor, patients are asked to make sustained vowel sounds (i.e. say *aah* out loud for a few seconds) and the tremor in their voice is then assessed subjectively by the interviewer/clinician from that sound. Hence, in some cases, a variable may not be informative if it is not collected from the right kind of behavior. Referencing the example from the previous paragraph, mean fundamental frequency is also more relevant when measured from sustained vowel sounds, whereas its standard deviation may be more relevant during free speech. The user must take such factors into consideration when analyzing digital biomarker data. \ No newline at end of file diff --git a/docs/docs/biomaker-variables.md b/docs/docs/biomaker-variables.md new file mode 100644 index 00000000..a1ec3fde --- /dev/null +++ b/docs/docs/biomaker-variables.md @@ -0,0 +1,21 @@ +--- +id: biomaker-variables +title: Biomaker Variables +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +## Biomaker Variables + +This chapter outlines the entire list of biomarkers that OpenDBM v2.0 calculates. + +For each biomarker, both raw variables and derived variables are calculated. Raw variables are often frame-wise values containing measurements according to the temporal resolution of the inputted file (e.g. happiness expressivity in each frame of video in an inputted video file or audio intensity for each audio frame in an audio file). Derived variables are abstractions of their respective raw variables (e.g. average happiness expressivity across a video or standard deviation of audio intensity over the course of the audio file). + +It is helpful to think of raw variables as quantifications of behavioral characteristics, with derived variables being the ones acting as biomarkers of health and functioning. OpenDBM outputs both raw and derived variables when it is executed. However, it is possible that the user will only need to utilize the derived variable output for their research––unless they are interested in delving deeper into the data and making their own derived variable abstractions. + +All variables are named according to a standard nomenclature. Raw variable names contain two sections, while derived variable names contain three sections. The figure below demonstrates what each section of the variable name, separated by underscores, refers to. + +
+ Description of the standard nomenclature used to name all raw and derived variable outputs from OpenDBM, allowing for determination of variable contents without having to memorize all variable names. +
Description of the standard nomenclature used to name all raw and derived variable outputs from OpenDBM, allowing for determination of variable contents without having to memorize all variable names.
+
\ No newline at end of file diff --git a/docs/docs/data-guidelines.md b/docs/docs/data-guidelines.md new file mode 100644 index 00000000..ad41ea9b --- /dev/null +++ b/docs/docs/data-guidelines.md @@ -0,0 +1,11 @@ +--- +id: data-guidelines +title: Overview +--- + +
+

OpenDBM Data Guidelines

+

+ OpenDBM is meant to be broadly applicable to video and audio data. Given the plethora of possibilities in terms of what that data could contain, it is important to take certain guidelines into consideration before processing your data. This chapter outlines some of those considerations, which should help with experimental design, data organization, and analysis––all while ensuring a high signal to noise ratio. +

+
diff --git a/docs/docs/dependencies-installation.md b/docs/docs/dependencies-installation.md new file mode 100644 index 00000000..7a23a1a9 --- /dev/null +++ b/docs/docs/dependencies-installation.md @@ -0,0 +1,84 @@ +--- +id: dependencies-installation +title: Dependencies Installation +description: 'OpenDBM needs you to install some dependencies before do any pip install' +hide_table_of_contents: true +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +This page will help you install the prerequisites for each OS platforms. + +**If you are new to python environment**, the easiest way to get started is with Conda CLI. Conda is an open source package management system and environment management system that runs on Windows, macOS, Linux and z/OS. Conda quickly installs, runs and updates packages and their dependencies. Conda easily creates, saves, loads and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. + +**If you are already familiar with python environment**, you may to proceed install the dependencies using your python environment + + + + +The instructions are a bit different depending on your development operating system. + +#### Development OS + + + + +## Install with conda + +```bash +conda install -c conda-forge cmake ffmpeg sox +``` +## Standalone installation (without conda) + +```bash +brew install cmake +brew install sox +brew install ffmpeg +``` + + + + +## Install with conda + +```bash +conda install -c conda-forge ffmpeg sox dlib +``` +## Standalone installation (without conda) + +> [Install sox guide](https://www.tutorialexample.com/a-step-guide-to-install-sox-sound-exchange-on-windows-10-python-tutorial/) + +> Follow either of this guide to install ffmpeg +> * [geeksforgeeks](https://www.geeksforgeeks.org/how-to-install-ffmpeg-on-windows/) +> * [wikihow](https://www.wikihow.com/Install-FFmpeg-on-Windows) + +> [Install dlib guide](https://github.com/sachadee/Dlib) + + + + + +## Install with conda + +```bash +conda install -c conda-forge cmake ffmpeg sox +``` +## Standalone installation (without conda) + +```bash +sudo apt-get install cmake +sudo apt-get install libsndfile1 +sudo apt-get install ffmpeg +sudo apt-get install sox +``` + + + + + + + + + + + diff --git a/docs/docs/derived-variables.md b/docs/docs/derived-variables.md new file mode 100644 index 00000000..4225d53d --- /dev/null +++ b/docs/docs/derived-variables.md @@ -0,0 +1,24 @@ +--- +id: opendbm-docker-output +title: Derived Variables +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +## OpenDBM Output + +In the previous chapter, we went over how to process data using OpenDBM and learned that when we do so, we save a folder called **output** in the location we specify. This chapter is all about what’s in that folder and all the wonderful things we can do with it. + +The first thing you’ll see is that the **output** folder is divided into `raw_variables` and `derived_variables`. As Chapter 5 explains, for each biomarker, both **raw variables** and **derived variables** are calculated. Raw variables are often frame-wise values containing measurements according to the temporal resolution of the inputted file (e.g. happiness expressivity in each frame of video in an inputted video file or audio intensity for each audio frame in an audio file). Derived variables are abstractions of their respective raw variables (e.g. average happiness expressivity across a video or standard deviation of audio intensity over the course of the audio file). Chapter 5 goes into more detail and lists all raw and derived biomarker variables. The purpose of this chapter is to first just explain the structure of the data output from OpenDBM. + +## Derived Variables + +For derived variables, a single CSV file is outputted. This CSV file, named derived_output.csv, contains a row for each video/audio file that was inputted. If only a single file was processed, the CSV file will have only one row. If several were inputted, then several rows will be outputted. + +And, in case you forgot what files and/or excel sheets look like, here are some illustrations: +
+ Screenshot of output file +
Screenshot of output file.
+
+ +Essentially, the derived variables CSV file is the best place to go for most simple analyses. [In this instructional video](https://www.youtube.com/watch?v=QQY_QA1Y5BM), we conduct a sample data analysis in a made-up experiment and use the derived variable output to test effects of a ‘treatment’ on emotional expressivity in the face. \ No newline at end of file diff --git a/docs/docs/emotional-expressivity.md b/docs/docs/emotional-expressivity.md new file mode 100644 index 00000000..b2be78c1 --- /dev/null +++ b/docs/docs/emotional-expressivity.md @@ -0,0 +1,36 @@ +--- +id: emotional-expressivity +title: Emotional Expressivity +--- + +Continuing to lean on FACS, action unit presence and intensity values are used to measure presence and intensity of emotional expressions, given that combinations of different action units refer to individual emotions as outlined in the table below: + +| Emotion | EMO | Action Units | +| ----------- | ----------- | ---- | +| Happiness | hap | 6 + 12 | +| Sadness | sad | 1 + 4 + 15 | +| Surprise | sur | 1 +2 + 5 + 26 | +| Fear | fea | 1 + 2 + 4 + 5 + 7 + 20 + 26 | +| Anger | ang | 4 + 5 + 7 + 23 | +| Disgust | dig | 9 + 15 + 16 | +| Contempt | con | 12 + 14 | + +For each of the emotions listed in the table above, the tables below list the raw and derived variables that are calculated for each, with EMO in the variable names referring to any of the seven major emotions as per the short forms in the table above. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_EMOpres` | **Emotion presence.** Binary vector indicating the presence/absence of an emotion in each video frame, with presence being 1 if all action units for that emotion are present. | +| `fac_EMOintsoft` | **Emotion intensity ‘soft’.** Continuous vector indicating intensity of the emotion in each video frame regardless of whether all action units for that emotion are present. Range is between 0 and 1. | +| `fac_EMOinthard` | **Emotion intensity ‘hard’.** Continuous vector indicating intensity of the emotion in each video frame, only providing non-zero value if all action units for that emotion are present. Range is between 0 and 1. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_EMOpres_pct` | **Emotion presence percentage.** Percentage of frames in the video where the emotion was present, as defined by all action units being present for a given emotion. | +| `fac_EMOintsoft_mean` | **Emotional expressivity ‘soft’ mean.** Mean of all fac_EMOintsoft values calculated from the video. | +| `fac_EMOintsoft_std` | **Emotional expressivity ‘soft’ standard deviation** of all fac_EMOintsoft values calculated from the video. +| `fac_EMOinthard_mean` | **Emotional expressivity ‘hard’ mean.** Mean of all fac_EMOinthard values calculated from the video. | + diff --git a/docs/docs/eye-blink-behavior.md b/docs/docs/eye-blink-behavior.md new file mode 100644 index 00000000..8900ca38 --- /dev/null +++ b/docs/docs/eye-blink-behavior.md @@ -0,0 +1,24 @@ +--- +id: eye-blink-behavior +title: Eye Blink Behavior +--- + +Eye blinks are measured by first calculating a variable called eye aspect ratio (EAR), which we get from [here](http://dlib.net/face_landmark_detection.py.html), and is basically just a quantification of how open the eye is. Over the course of a video, the EAR ends up being a vector whose troughs most likely signify individual eye blinks. The troughs are identified using a *find peaks* function and for each trough, the EAR value is outputted along with the other raw variables described below. + +### Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_blink_ear` | **Eye aspect ratio** i.e. a vector derived from [this model](http://dlib.net/face_landmark_detection.py.html) at points in the video where an eye blink was detected. | +| `mov_blinkframe` | **Eye blink times** are indices of the video frames where an eye blink was detected. | +| `mov_blinkdur` | **Durations between blinks** is the time spanned between the current blink and the previous blink in seconds. | + +### Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_blink_ear_mean` | **Eye aspect ratio mean** i.e. the mean of the vector `mov_blink_ear`. | +| `mov_blink_ear_std` | **Eye aspect ratio standard deviation** i.e. the standard deviation of the vector `mov_blink_ear`. | +| `mov_blink_count` | **Number of blinks** measured over the course of the video. | +| `mov_blinkdur_mean` | **Mean duration between eye blinks** measured in seconds. | +| `mov_blinkdur_std` | **Standard deviation of duration between eye blinks** measured in seconds. | \ No newline at end of file diff --git a/docs/docs/eye-gaze-directionality.md b/docs/docs/eye-gaze-directionality.md new file mode 100644 index 00000000..c37bbdc8 --- /dev/null +++ b/docs/docs/eye-gaze-directionality.md @@ -0,0 +1,40 @@ +--- +id: eye-gaze-directionality +title: Eye Gaze Directionality +--- + +Eye gaze directionality is another output we get from OpenFace. The variables below allow for measurements of eye gaze behavior. + +### Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_lefteyex` | x coordinate of the left eye at the current video frame. | +| `mov_lefteyey` | y coordinate of the left eye at the current video frame. | +| `mov_lefteyez` | z coordinate of the left eye at the current video frame. | +| `mov_righteyex` | x coordinate of the right eye at the current video frame. | +| `mov_righteyey` | y coordinate of the right eye at the current video frame. | +| `mov_righteyez` | z coordinate of the right eye at the current video frame. | +| `mov_leyedisp` | **Euclidean displacement in the left eye gaze** at the current video frame; this tells the overall movement in eye gaze direction in each frame. | +| `mov_reyedisp` | **Euclidean displacement in the right eye gaze** at the current video frame; this tells the overall movement in eye gaze direction in each frame. | + +### Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_lefteyex_mean` | **Mean x coordinate of the left eye** i.e. the average of the vector `mov_lefteyex`. | +| `mov_lefteyex_std` | **Standard deviation of x coordinate of the left eye** i.e. the standard deviation of the vector `mov_lefteyex`. | +| `mov_lefteyey_mean` | **Mean y coordinate of the left eye** i.e. the average of the vector `mov_lefteyey`. | +| `mov_lefteyey_std` | **Standard deviation of y coordinate of the left eye** i.e. the standard deviation of the vector `mov_lefteyey`. | +| `mov_lefteyez_mean` | **Mean z coordinate of the left eye** i.e. the average of the vector `mov_lefteyez`. | +| `mov_lefteyez_std` | **Standard deviation of z coordinate of the left eye** i.e. the standard deviation of the vector `mov_lefteyez`. | +| `mov_righteyex_mean` | **Mean x coordinate of the right eye** i.e. the average of the vector `mov_righteyex`. | +| `mov_righteyex_std` | **Standard deviation of x coordinate of the right eye** i.e. the standard deviation of the vector `mov_righteyex`. | +| `mov_righteyey_mean` | **Mean y coordinate of the right eye** i.e. the average of the vector `mov_righteyey`. | +| `mov_righteyey_std` | **Standard deviation of y coordinate of the right eye** i.e. the standard deviation of the vector `mov_righteyey`. | +| `mov_righteyez_mean` | **Mean z coordinate of the right eye** i.e. the average of the vector `mov_righteyez`. | +| `mov_righteyez_std` | **Standard deviation of z coordinate of the right eye** i.e. the standard deviation of the vector `mov_righteyez`. | +| `mov_leyedisp_mean` | **Mean euclidean displacement in the left eye gaze** over the course of the video. | +| `mov_leyedisp_std` | **Standard deviation of euclidean displacement in the left eye gaze** over the course of the video. | +| `mov_reyedisp_mean` | **Mean euclidean displacement in the right eye gaze** over the course of the video. | +| `mov_reyedisp_std` | **Standard deviation of euclidean displacement in the right eye gaze** over the course of the video. | \ No newline at end of file diff --git a/docs/docs/facial-activity.md b/docs/docs/facial-activity.md new file mode 100644 index 00000000..f2049c91 --- /dev/null +++ b/docs/docs/facial-activity.md @@ -0,0 +1,8 @@ +--- +id: facial-activity +title: Facial Activity +--- + +Facial activity biomarkers relate to visually observable characteristics of the face i.e. movements and arrangements of facial musculature that can––for example––comprise emotional expressions. All facial features are acquired through use of the [OpenFace software library](https://cmusatyalab.github.io/openface/). + +Along with everything else, OpenFace outputs ‘confidence scores’ that delineate how confident it is that it is indeed seeing a face in an image from a video. If the confidence score for an image frame is below 80%, we do not process any facial activity variables for those frames and the framewise raw variable output does not contain values. All derived facial variables that are then calculated from the raw variables only reflect image frames where the confidence was >80%. diff --git a/docs/docs/facial-asymmetry.md b/docs/docs/facial-asymmetry.md new file mode 100644 index 00000000..54ad96f2 --- /dev/null +++ b/docs/docs/facial-asymmetry.md @@ -0,0 +1,28 @@ +--- +id: facial-asymmetry +title: Facial Asymmetry +--- + +Using facial landmark detection described in Section 5.1.1, an additional measurement that is made is that of facial asymmetry. Frame-wise and overall asymmetry in landmarks on the left vs. right side of the face is quantified and saved in the following raw and derived variables. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_asymmaskmouth` | **Mouth asymmetry.** Frame-wise asymmetry in the mouth area. | +| `fac_asymmaskeye` | **Eye asymmetry.** Frame-wise asymmetry in the eye area. | +| `fac_asymmaskeyebrow` | **Eyebrow asymmetry.** Frame-wise asymmetry in the Eyebrow area. | +| `fac_asymmaskcom` | **Overall asymmetry.** Frame-wise asymmetry across the face. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_asymmaskmouth_mean` | **Mouth asymmetry mean** across the video. | +| `fac_asymmaskmouth_std` | **Mouth asymmetry standard deviation** across the video. | +| `fac_asymmaskeye_mean` | **Eye asymmetry mean** across the video. | +| `fac_asymmaskeye_std` | **Eye asymmetry standard deviation** across the video. | +| `fac_asymmaskeyebrow_mean` | **Eyebrow asymmetry mean** across the video. | +| `fac_asymmaskeyebrow_std` | **Eyebrow asymmetry standard deviation** across the video. | +| `fac_asymmaskcom_mean` | **Overall asymmetry mean** across the video. | +| `fac_asymmaskcom_std` | **Overall asymmetry standard deviation** across the video. | \ No newline at end of file diff --git a/docs/docs/facial-landmark.md b/docs/docs/facial-landmark.md new file mode 100644 index 00000000..fb8d5049 --- /dev/null +++ b/docs/docs/facial-landmark.md @@ -0,0 +1,27 @@ +--- +id: facial-landmark +title: Facial Landmark +--- + +Facial landmarks refer to specific regions of the face, with x, y, and z coordinates for each facial landmark variable indicating where in the image frame that specific region of the face is located. + +
+ Visual representation of the facial landmarks calculated by OpenDBM, which relies on OpenFace and OpenCV for its measurements. +
Visual representation of the facial landmarks calculated by OpenDBM, which relies on OpenFace and OpenCV for its measurements.
+
+ +OpenDBM calculates overall change in facial landmark positioning and in doing so measures facial musculature movements at the level of individual facial landmarks. Individual movement of a total of 68 facial landmarks is measured using the raw and derived variables listed in the tables below. + + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_lmkXXdisp` | **Landmark displacement.** Frame-wise change in landmark positioning i.e. the euclidean distance in the xyz plane, where XX can be any number between 01 and 68, referring to all individual facial landmarks. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_lmkXXdisp_mean` | **Landmark displacement mean.** The mean value of fac_lmkXXdisp for the inputted video. | +| `fac_lmkXXdisp_std` | **Landmark displacement standard deviation.** The standard deviation value of fac_lmkXXdisp for the inputted video. | \ No newline at end of file diff --git a/docs/docs/facial-tremor.md b/docs/docs/facial-tremor.md new file mode 100644 index 00000000..42971851 --- /dev/null +++ b/docs/docs/facial-tremor.md @@ -0,0 +1,18 @@ +--- +id: facial-tremor +title: Facial Tremor +--- + +Measurements of facial tremor are acquired by looking at movements in individual facial landmarks as shown in Section 5.1.1. They are separated into measurements of tremor at individual landmarks of the face, which allows for specific calculation of tremor in particular areas of the face but can also be averaged to measure tremor in larger areas of the face or the entire face as a whole. + +### Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_tremor_median_X` | **Amount of tremor detected** in a specific frame, with X referring to the facial landmark number. | + +### Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_tremor_median_X_mean` | **Mean amount of tremor detected** over the course of the video, with X referring to the facial landmark number. | \ No newline at end of file diff --git a/docs/docs/formant-frequencies.md b/docs/docs/formant-frequencies.md new file mode 100644 index 00000000..068bed83 --- /dev/null +++ b/docs/docs/formant-frequencies.md @@ -0,0 +1,24 @@ +--- +id: formant-frequencies +title: Formant Frequencies +--- + +## Formant Frequencies (f1-4) + +Formants are spectral peaks in the sound spectrum that are typically distributed in bands across different frequencies[^1]. OpenDBM outputs values for the first four formants (f1-4), with N in the variable names in the tables below referring to the formant number. + + +[^1]: https://en.wikipedia.org/wiki/Fundamental_frequency + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_fmN` | **Formant frequency.** Frame-wise formant frequency (fN) measurements, with N being 1, 2, 3, or 4, referring to the 1st, 2nd, 3rd, or 4th formant respectively. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_fmN_mean` | **Formant frequency mean.** Mean of the Nth formant (fN) across all audio frames. | +| `aco_fmN_std` | **Formant frequency standard deviation.** Standard deviation of the Nth formant (fN) across all audio frames. | diff --git a/docs/docs/fundamental-frequency.md b/docs/docs/fundamental-frequency.md new file mode 100644 index 00000000..9248032f --- /dev/null +++ b/docs/docs/fundamental-frequency.md @@ -0,0 +1,22 @@ +--- +id: fundamental-frequency +title: Fundamental Frequency +--- + +The fundamental frequency (f0) is the lowest frequency of a periodic waveform, measured in Hertz (Hz). It is the greatest common divisor of all the frequency components contained in a signal.[^1] + + +[^1]: https://en.wikipedia.org/wiki/Fundamental_frequency + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_ff` | **Fundamental frequency.** Frame-wise fundamental frequency values in Hz. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_ff_mean` | **Fundamental frequency mean.** Mean of aco_ff across the audio file. | +| `aco_ff_std` | **Fundamental frequency standard deviation.** Standard deviation of aco_ff across the audio file. | diff --git a/docs/docs/glottal-to-noise-excitation-ratio.md b/docs/docs/glottal-to-noise-excitation-ratio.md new file mode 100644 index 00000000..e6c43686 --- /dev/null +++ b/docs/docs/glottal-to-noise-excitation-ratio.md @@ -0,0 +1,21 @@ +--- +id: glottal-to-noise-excitation-ratio +title: Glottal-to-noise Excitation Ratio (GNE) +--- + +Glottal-to-noise excitation ratio, as introduced by Michaelis and colleagues[^1], is an indirect measure of breathiness, indicating whether a “given voice signal originates from vibrations in the vocal folds or from turbulent noise generated in the vocal tract.” + +[^1]: Michaelis, D., Gramss, T., & Strube, H. W. (1997). Glottal-to-noise excitation ratio–a new measure for describing pathological voices. Acta Acustica united with Acustica, 83(4), 700-706. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_gne` | **Glottal-to-noise excitation ratio.** Frame-wise measurements of glottal-to-noise excitation ratio. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_gne_mean` | **Glottal-to-noise excitation ratio mean.** Mean of `aco_hnr` across the audio file. | +| `aco_gne_std` | **Glottal-to-noise excitation ratio standard deviation.** Standard deviation of `aco_gne` across the audio file. | diff --git a/docs/docs/harmonics-to-noise-ratio.md b/docs/docs/harmonics-to-noise-ratio.md new file mode 100644 index 00000000..4f126d80 --- /dev/null +++ b/docs/docs/harmonics-to-noise-ratio.md @@ -0,0 +1,21 @@ +--- +id: harmonics-to-noise-ratio +title: Harmonics-to-noise Ratio (HNR) +--- + +The harmonics-to-noise ratio (HNR), a common measurement of aspiration, quantifies the amount of additive noise in the voice signal.[^1] + +[^1]: Ferrand, C. T. (2002). Harmonics-to-noise ratio: an index of vocal aging. Journal of voice, 16(4), 480-487. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_hnr` | **Harmonics-to-noise ratio.** Frame-wise measurements of harmonics-to-noise ratio. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_hnr_mean` | **Harmonics-to-noise ratio mean.** Mean of `aco_hnr` across the audio file. | +| `aco_hnr_stdev` | **Harmonics-to-noise ratio standard deviation.** Standard deviation of `aco_hnr` across the audio file. | diff --git a/docs/docs/head-movement.md b/docs/docs/head-movement.md new file mode 100644 index 00000000..0d7139ec --- /dev/null +++ b/docs/docs/head-movement.md @@ -0,0 +1,42 @@ +--- +id: head-movement +title: Head Movement +--- + +## Movement + +OpenDBM focuses on computer vision-based measurements of movement. This refers to movement that can be detected in videos of individuals, focusing primarily on their head and face. Future versions of OpenDBM will hopefully include additional measurements as well. + +## Head Movement + +Head movement is measured in two ways. The first is a Euclidean measurement i.e. in the * * plane. The position of the head in x, y, and z coordinates is calculated as a raw variable in each frame. These raw variables are then used to measure overall head movement in the *xyz* plane. + +The second method to measure head movement is by measuring angular changes in radians. The position of the head’s pitch, roll, and yaw is calculated as a raw variable in each frame. These variables are then used to measure overall change in head pitch, yaw, and roll as derived variables. + +Only image frames where the OpenFace confidence score is greater than 20% are used for all downstream calculations (OpenFace confidence scores were explained in Section 5.1) + +### Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_headvel` | **Euclidean head movement.** Frame-wise Euclidean displacement of the head in the xyz plane. | +| `mov_hposepitch` | **Head pitch angle.** Frame-wise pitch angle of the head. | +| `mov_hposeyaw` | **Head yaw angle.** Frame-wise yaw angle of the head. | +| `mov_hposeroll` | **Head roll angle.** Frame-wise roll angle of the head. | +| `mov_hposedist` | **Angular head movement.** Frame-wise change in head angle, combining pitch, yaw, and roll movements. | + +### Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_headvel_mean` | **Euclidean head movement mean.** Mean of `mov_headvel` across the video in mm/frame. | +| `mov_headvel_std` | **Euclidean head movement standard deviation.** Standard deviation of `mov_headvel` across the video. | +| `mov_hposepitch_mean` | **Head pitch movement mean.** Mean of the pitch angle of the head across the video. | +| `mov_hposepitch_std` | **Head pitch movement standard deviation.** Standard deviation of the pitch angle of the head across the video i.e. amount of head movement in the pitch direction. | +| `mov_hposeyaw_mean` | **Head yaw movement mean.** Mean of the yaw angle of the head across the video. | +| `mov_hposeyaw_std` | **Head yaw movement standard deviation.** Standard deviation of the yaw angle of the head across the video i.e. amount of head movement in the yaw direction. | +| `mov_hposeroll_mean` | **Head roll movement mean.** Mean of the roll angle of the head across the video. | +| `mov_hposeroll_std` | **Head roll movement standard deviation.** Standard deviation of the roll angle of the head across the video i.e. amount of head movement in the roll direction. | +| `mov_hposedist_mean` | **Angular head movement mean.** Mean of `mov_hposedist` across the video. | +| `mov_hposedist_std` | **Angular head movement standard deviation.** Standard deviation of mov_hposedist across the video. | + diff --git a/docs/docs/introduction.md b/docs/docs/introduction.md new file mode 100644 index 00000000..60f069e8 --- /dev/null +++ b/docs/docs/introduction.md @@ -0,0 +1,54 @@ +--- +id: getting-started +title: Introduction +description: This helpful guide lays out the prerequisites for learning OpenDBM, using these docs, and setting up your environment. +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +
+

+ Welcome to the very start of your OpenDBM journey! If you're looking for straight install and usage instructions, you can move to this section. Continue reading for an introduction of OpenDBM before installing. +

+ +
+ +OpenDBM is an open-source tool for measurement of digital biomarkers from video and audio of patient behavior. It is built on existing software packages used to quantify behavioral characteristics. Our goal is to increase accessibility of methods in digital phenotyping to researchers trying to understand the relationship between neuropsychiatric illnesses and their behavioral manifestations. + +Through OpenDBM, a user can objectively and sensitively measure behavioral characteristics such as facial activity, vocal acoustics, characteristics of speech, patterns of movement, and oculomotion. From those behavioral characteristics, they can measure clinically meaningful symptomatology such as emotional expressivity, prosody of voice, valence of speech, and severity of tremor––among many others. + +We hope to encourage researchers to use objective quantification of symptomatology in their analyses and to inspire them to contribute their own code, leading to a central repository of methods. Only by doing so can academia, healthcare, and industry collaborate effectively on the advancement of digital measurement of health and create access to novel tools in digital phenotyping. + + +## Prerequisites + +To work with OpenDBM, you will need to have an understanding of Python fundamentals. If you’re new to Python or need a refresher, you can [dive in](https://docs.python.org/3/tutorial/) or [brush up](https://www.w3schools.com/python/) at your convenience. + +> While we do our best to assume no prior knowledge of Python, these are valuable topics of study for the aspiring OpenDBM users. Where sensible, we have linked to resources and articles that go more in depth. + +## Developer Notes + +People from many different development backgrounds are learning OpenDBM. You may have different experience between researchers, data scientist and python engineer and more. We try to write for all enthutiast from all backgrounds. Sometimes we provide explanations specific to one platform or another like so: + + + + + +> Clinical Researchers may be familiar with this concept. + + + + +> Data scientist may be familiar with this concept. + + + + +> Python developers may be familiar with this concept. + + + + +--- + +Now that you know how this guide works, it's time to get to start OpenDBM installation: [Dependencies Installation](dependencies-installation.md). diff --git a/docs/docs/jitter.md b/docs/docs/jitter.md new file mode 100644 index 00000000..de649d51 --- /dev/null +++ b/docs/docs/jitter.md @@ -0,0 +1,21 @@ +--- +id: jitter +title: Jitter +--- + +The jitter of an audio signal is the parameter of frequency variation from cycle to cycle[^1], and is affected mainly by the lack of control over vocal cord vibration. + +[^1]: https://en.wikipedia.org/wiki/Jitter + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_jitter` | **Jitter.** Frame-wise measurements of jitter. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_jitter_mean` | **Jitter mean.** Mean of `aco_jitter` across the audio file. | +| `aco_jitter_std` | **Jitter standard deviation.** Standard deviation of `aco_jitter` across the audio file. | diff --git a/docs/docs/lexical-richness.md b/docs/docs/lexical-richness.md new file mode 100644 index 00000000..01b00933 --- /dev/null +++ b/docs/docs/lexical-richness.md @@ -0,0 +1,14 @@ +--- +id: lexical-richness +title: Lexical Richness +--- + +There are several terms for this measurement used across literature (sometimes also called diversity in vocabulary, etc.) and certainly more than one way to quantify it. We felt that an appropriate measure of richness of vocabulary would be the Moving Average Type Token Ratio (MATTR), reported in this paper by Convington and McFall[^1]. Simply put, it quantifies how many unique words are used in speech, which can be a proxy to some clinical measurements. + +[^1]: Covington, M. A., & McFall, J. D. (2010). Cutting the Gordian knot: The moving-average type–token ratio (MATTR). *Journal of quantitative linguistics*, 17(2), 94-100. + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `nlp_mattr_mean` | **Lexical richness**, measured using the moving average type token ratio (MATTR). | diff --git a/docs/docs/mac-linux-usage.md b/docs/docs/mac-linux-usage.md new file mode 100644 index 00000000..cda9c026 --- /dev/null +++ b/docs/docs/mac-linux-usage.md @@ -0,0 +1,100 @@ +--- +id: opendbm-docker-usage +title: Mac / Linux Usage +--- + +## Mac / Linux + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +Congratulations, it’s way easier to use OpenDBM on Mac or Linux compared to Windows. + +Essentially, all you need to do is run a single command from the **open_dbm** folder. Here it is: + +```bash +% bash process_dbm.sh --input_path=<...> --output_path=<...> +``` + +`bash` is the command that calls the script process_dbm.sh. + +There are two required parameters, the `--input_path` and the `--output_path`. We’ll go over these in Sections 3.1.1 and 3.1.2. There are also two useful optional parameters: `--dbm_group` and `--tr`. We’ll go over those in Sections 3.1.3 and 3.1.4. + +### Input path + +This is simply the path to the data you want to process. For example, let’s pretend you want to process all the videos in the **sample_data** folder that comes included with OpenDBM: + +
+ Sample Data screenshot +
Sample Data screenshot
+
+ +The path to this data would be something like **/Users/JohnWick/open_dbm/sample_data**. So, for the `--input_path` parameter in the command, you’d put in the path to that folder like this: `--input_path=/Users/JohnWick/open_dbm/sample_data`. By doing so, you’re asking to process all four videos in that folder. +> **Helpful tip:** On Mac, if you ‘copy’ the folder you want to process from **Finder** and ‘paste’ it into **Terminal**, it automatically pastes the path to that folder. + +OpenDBM allows for processing of individual video/audio files or bulk processing of several video/audio files saved together in a folder. The input path can either lead to a single file, in which case only that file will be processed, or it can lead to a folder with several files, in which case all compatible files in that folder will be processed. This path can be anywhere. + +All video files must be in **MP4** or **MOV** format and all audio files must be in **WAV** or **MP3** format. The current version of the package leaves the responsibility of converting file types to the correct format to the user; hopefully future versions will handle more file types. Please be careful when using online tools to convert video that may contain sensitive information. If the specified input path does not direct to any **MP4, MOV, WAV, or MP3** files, nothing will happen. + +At this point, this is what our (incomplete) command would look like: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data +--output_path=<...> +``` +Just in case it’s causing any confusion to beginners, `--input_path` does not need to be on a new line here; I’m just showing it this way for clarity (you should enter everything on the same line). This applies to the whole document. + +### Output Path + +This is the path where a new folder named **output** will be created and all calculated digital biomarker data will be stored. The structure of the data output is described in Chapter 4. + +Let’s say, in our example, we want to save our outputted variables on the **Desktop**. The processing command starts looking like this: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +``` +`--input_path` and `--output_path` are the only two mandatory parameters of the processing function. You should be able to process data at this point. The next two sections go over two optional inputs that are probably pretty good to be familiar with. + +### DBM Group + +There are several categories of digital biomarkers (DBMs) that are calculated by OpenDBM: + +- **Facial,** referring to measurements of facial behavior +- **Acoustic** , referring to measurements of vocal acoustics +- **Speech,** referring to measurement of language characteristics +- **Movement** , referring to motor and oculomotor functioning + +By default, OpenDBM calculates all of these from any video that is inputted. If only audio is inputted, it calculates acoustic and speech variables. But the user may not be interested in all four types of variables (e.g., maybe they just want to calculate digital biomarkers related to vocal acoustics). In that case, the --dbm_group input can be used to limit the calculation to only that category of biomarker. This functionality exists both to reduce on processing time and to allow for simplicity during subsequent data analysis downstream (see Chapter 4). + +There are four possible inputs here: facial, acoustic, speech, and movement. + +So, if the user only wants acoustic biomarkers, the processing script would look like this: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +--dbm_group=’acoustic’ +``` +> **Note:** You do need to include the quotation marks around your input for --dbm_group. + +If you want, you can also select more than one group of biomarkers. For example, if you wanted to calculate both acoustic and speech biomarkers but not facial or movement ones, your command would look like this: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +--dbm_group=’acoustic speech’ +``` + +### Transcription + +If the data being processed contains speech, OpenDBM will transcribe that speech into text and calculate a number of measurements from the transcribed text (see Section 5.3 for all speech biomarker variables). However, the speech transcription itself is not saved. This is because it may not always be in the interest of the user to save the transcribed speech. In cases where the user is processing sensitive patient data that may contain [Protected Health Information (PHI)](https://www.hhs.gov/answers/hipaa/what-is-phi/index.html), **the transcribed speech is still considered PHI** and is subject to strict privacy regulations. Everything that is by default saved in the **output** folder is intentionally designed to not be PHI. + +Now, if the user *wants* the transcribed text, they have the *option* to save it in the **output** folder. They can do this using the `--tr` parameter, and setting it to ‘on’, as shown below. When they do this, the transcribed text is saved in the output folder as described in Section 4.2.2. + +We only advise that the user do this if the data output is being stored in a location where PHI data can be stored, and that the data output folder will never find its way to a place where PHI data can not be stored. I am not your lawyer, nor am I liable for the wrath of HIPAA and GDPR coming down upon you, but please know that transcribed speech is indeed considered PHI, and you do need to make sure you are following all regulations and have full patient consent for it. + +```bash +% bash process_dbm.sh --input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +--dbm_group=’acoustic speech’ +--tr=on +``` +> **Note:** The ‘on’ in the `--tr` parameter does not require quotation marks. Why? VJ was lazy. + +And that’s it! By executing the `bash process_dbm.sh` command as described in this chapter, you can process data and calculate digital biomarkers. Section 3.2 repeats all this information for folks on Windows. You can skip to Chapter 4, which details how the data output is structured. diff --git a/docs/docs/more-resources.md b/docs/docs/more-resources.md new file mode 100644 index 00000000..a4c433aa --- /dev/null +++ b/docs/docs/more-resources.md @@ -0,0 +1,43 @@ +--- +id: more-resources +title: More Resources +--- + +There’s always more to learn: how to use OpenDBM, OpenDBM Biomaker variables, Data Guidelines, and Resource + +## Where to go from here + +- [How to use OpenDBM](opendbm-docker-usage) +- [Learn about OpenDBM output](opendbm-docker-output) +- [OpenDBM Richful Biomaker Variables](biomaker-variables) +- [OpenDBM Data Guidelines](data-guidelines) +- [Learn about OpenDBM surrounding components](/extras/extras) +- [Get involved in the OpenDBM community](/contributing/overview) + +## Helpful Videos + +Along with the initial launch of OpenDBM (v1.0), we released a set of instructional videos as well as a recording of the training webinar we conducted. We want to add to how many of these we have, but below is the current list of videos that are helpful in getting started with OpenDBM. + +### OpenDBM Installation on Mac + +[![OpenDBM Installation on Mac](https://img.youtube.com/vi/CfNFBcf41u0/0.jpg)](https://www.youtube.com/watch?v=CfNFBcf41u0) + +This video walks through the installation as described in Chapter 2; please note that this was made during OpenDBM v1.0 so there may be small differences but it remains a helpful visual guide. + +### OpenDBM How to Use on Mac + +[![OpenDBM How to Use on Mac](https://img.youtube.com/vi/TKON5UcxrwQ/0.jpg)](https://www.youtube.com/watch?v=TKON5UcxrwQ) + +This video uses just the required parameters in the processing script to extract digital biomarker variables from the sample videos that are included with OpenDBM and is helpful to anyone getting started. + +### OpenDBM Sample Analysis + +[![OpenDBM How to Use on Mac](https://img.youtube.com/vi/QQY_QA1Y5BM/0.jpg)](https://www.youtube.com/watch?v=QQY_QA1Y5BM) + +This video uses the data output acquired in the previous video to conduct a made up experiment to analyze some of the digital biomarker data in order to test a hypothesis. + +### OpenDBM Virtual Training Oct 5 2020 + +[![OpenDBM Virtual Training Oct 5 2020](https://img.youtube.com/vi/PNS-TQX5CFc/0.jpg)](https://www.youtube.com/watch?v=PNS-TQX5CFc) + +This is the recording of one of the webinars that were held for the initial launch of OpenDBM v1.0 in October of 2020. It has an overview of the philosophy behind OpenDBM as well as helpful instructions. diff --git a/docs/docs/opendbm-docker-output.md b/docs/docs/opendbm-docker-output.md new file mode 100644 index 00000000..e8b32a9d --- /dev/null +++ b/docs/docs/opendbm-docker-output.md @@ -0,0 +1,43 @@ +--- +id: opendbm-docker-output +title: Docker Output +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +## OpenDBM Output + +In the previous chapter, we went over how to process data using OpenDBM and learned that when we do so, we save a folder called **output** in the location we specify. This chapter is all about what’s in that folder and all the wonderful things we can do with it. + +The first thing you’ll see is that the **output** folder is divided into `raw_variables` and `derived_variables`. As Chapter 5 explains, for each biomarker, both **raw variables** and **derived variables** are calculated. Raw variables are often frame-wise values containing measurements according to the temporal resolution of the inputted file (e.g. happiness expressivity in each frame of video in an inputted video file or audio intensity for each audio frame in an audio file). Derived variables are abstractions of their respective raw variables (e.g. average happiness expressivity across a video or standard deviation of audio intensity over the course of the audio file). Chapter 5 goes into more detail and lists all raw and derived biomarker variables. The purpose of this chapter is to first just explain the structure of the data output from OpenDBM. + +## Derived Variables + +For derived variables, a single CSV file is outputted. This CSV file, named derived_output.csv, contains a row for each video/audio file that was inputted. If only a single file was processed, the CSV file will have only one row. If several were inputted, then several rows will be outputted. + +And, in case you forgot what files and/or excel sheets look like, here are some illustrations: +
+ Screenshot of output file +
Screenshot of output file.
+
+ +Essentially, the derived variables CSV file is the best place to go for most simple analyses. [In this instructional video](https://www.youtube.com/watch?v=QQY_QA1Y5BM), we conduct a sample data analysis in a made-up experiment and use the derived variable output to test effects of a ‘treatment’ on emotional expressivity in the face. + +## Raw Variables + +The raw variable data structure is slightly more complicated. The hierarchy is described below: +
+ Variables hierarchy +
Variables hierarchy
+
+ +Under the **raw_variables** folder, there will be a folder for each **filename**. Under each filename’s folder, there will be a folder for each DBM group as described in Section 3.1.3 and Chapter 5: **facial, acoustic, speech, and movement**. In each of the DBM group folders, there will be sub- folders for biomarkers e.g. the acoustic **intensity** folder has data for audio intensity (Section 5.2.3). WIthin the biomarker folder will be a CSV file that contains frame-by-frame values for variables in it. In the case of audio intensity, the audio intensity raw variable CSV file has the `aco_int` values in decibels for *each frame of audio* in the video file, whereas the `aco_int_mean` *derived* variable would simply have the mean intensity of all frames in that file. + +### OpenFace output + +As has been mentioned before, OpenDBM relies on OpenFace for a lot of its measurements. In case the user is interested in going upstream to that level of data, the **_openface** folder just contains the OpenFace output, including action units, eye gaze data, and head movement calculations. Some other facial and movement measurements are acquired using facial landmark data, which is also an output from OpenFace, though relies on a different model. That OpenFace data is saved in **_openface_lmk**. Both of the raw OpenFace output folders are there in case a user is interested in building their own raw / derived variables. If the user is simply interested in using OpenDBM’s existing measures, they can ignore these folders. + +### Speech transcription + + +Assuming the user used the `--tr=on` option when executing the processing command, OpenDBM will save the text for any speech that was transcribed in a folder called **deepspeech**. All transcription is done using an open source software package called [DeepSpeech](https://github.com/mozilla/DeepSpeech) This folder simply contains the output that DeepSpeech provides. Similar to the OpenFace output, the speech transcription is saved in case the user wants to dig deeper and perhaps derive their own measures. We do ask that you read Section 3.1.4 before you save speech transcriptions. diff --git a/docs/docs/opendbm-docker-usage.md b/docs/docs/opendbm-docker-usage.md new file mode 100644 index 00000000..f22859f9 --- /dev/null +++ b/docs/docs/opendbm-docker-usage.md @@ -0,0 +1,100 @@ +--- +id: opendbm-docker-usage +title: Docker Usage +--- + +## Mac / Linux + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +Congratulations, it’s way easier to use OpenDBM on Mac or Linux compared to Windows. + +Essentially, all you need to do is run a single command from the **open_dbm** folder. Here it is: + +```bash +% bash process_dbm.sh --input_path=<...> --output_path=<...> +``` + +`bash` is the command that calls the script process_dbm.sh. + +There are two required parameters, the `--input_path` and the `--output_path`. We’ll go over these in Sections 3.1.1 and 3.1.2. There are also two useful optional parameters: `--dbm_group` and `--tr`. We’ll go over those in Sections 3.1.3 and 3.1.4. + +### Input path + +This is simply the path to the data you want to process. For example, let’s pretend you want to process all the videos in the **sample_data** folder that comes included with OpenDBM: + +
+ Sample Data screenshot +
Sample Data screenshot
+
+ +The path to this data would be something like **/Users/JohnWick/open_dbm/sample_data**. So, for the `--input_path` parameter in the command, you’d put in the path to that folder like this: `--input_path=/Users/JohnWick/open_dbm/sample_data`. By doing so, you’re asking to process all four videos in that folder. +> **Helpful tip:** On Mac, if you ‘copy’ the folder you want to process from **Finder** and ‘paste’ it into **Terminal**, it automatically pastes the path to that folder. + +OpenDBM allows for processing of individual video/audio files or bulk processing of several video/audio files saved together in a folder. The input path can either lead to a single file, in which case only that file will be processed, or it can lead to a folder with several files, in which case all compatible files in that folder will be processed. This path can be anywhere. + +All video files must be in **MP4** or **MOV** format and all audio files must be in **WAV** or **MP3** format. The current version of the package leaves the responsibility of converting file types to the correct format to the user; hopefully future versions will handle more file types. Please be careful when using online tools to convert video that may contain sensitive information. If the specified input path does not direct to any **MP4, MOV, WAV, or MP3** files, nothing will happen. + +At this point, this is what our (incomplete) command would look like: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data +--output_path=<...> +``` +Just in case it’s causing any confusion to beginners, `--input_path` does not need to be on a new line here; I’m just showing it this way for clarity (you should enter everything on the same line). This applies to the whole document. + +### Output Path + +This is the path where a new folder named **output** will be created and all calculated digital biomarker data will be stored. The structure of the data output is described in Chapter 4. + +Let’s say, in our example, we want to save our outputted variables on the **Desktop**. The processing command starts looking like this: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +``` +`--input_path` and `--output_path` are the only two mandatory parameters of the processing function. You should be able to process data at this point. The next two sections go over two optional inputs that are probably pretty good to be familiar with. + +### DBM Group + +There are several categories of digital biomarkers (DBMs) that are calculated by OpenDBM: + +- **Facial,** referring to measurements of facial behavior +- **Acoustic** , referring to measurements of vocal acoustics +- **Speech,** referring to measurement of language characteristics +- **Movement** , referring to motor and oculomotor functioning + +By default, OpenDBM calculates all of these from any video that is inputted. If only audio is inputted, it calculates acoustic and speech variables. But the user may not be interested in all four types of variables (e.g., maybe they just want to calculate digital biomarkers related to vocal acoustics). In that case, the --dbm_group input can be used to limit the calculation to only that category of biomarker. This functionality exists both to reduce on processing time and to allow for simplicity during subsequent data analysis downstream (see Chapter 4). + +There are four possible inputs here: facial, acoustic, speech, and movement. + +So, if the user only wants acoustic biomarkers, the processing script would look like this: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +--dbm_group=’acoustic’ +``` +> **Note:** You do need to include the quotation marks around your input for --dbm_group. + +If you want, you can also select more than one group of biomarkers. For example, if you wanted to calculate both acoustic and speech biomarkers but not facial or movement ones, your command would look like this: +```bash +% bash process_dbm.sh +--input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +--dbm_group=’acoustic speech’ +``` + +### Transcription + +If the data being processed contains speech, OpenDBM will transcribe that speech into text and calculate a number of measurements from the transcribed text (see Section 5.3 for all speech biomarker variables). However, the speech transcription itself is not saved. This is because it may not always be in the interest of the user to save the transcribed speech. In cases where the user is processing sensitive patient data that may contain [Protected Health Information (PHI)](https://www.hhs.gov/answers/hipaa/what-is-phi/index.html), **the transcribed speech is still considered PHI** and is subject to strict privacy regulations. Everything that is by default saved in the **output** folder is intentionally designed to not be PHI. + +Now, if the user *wants* the transcribed text, they have the *option* to save it in the **output** folder. They can do this using the `--tr` parameter, and setting it to ‘on’, as shown below. When they do this, the transcribed text is saved in the output folder as described in Section 4.2.2. + +We only advise that the user do this if the data output is being stored in a location where PHI data can be stored, and that the data output folder will never find its way to a place where PHI data can not be stored. I am not your lawyer, nor am I liable for the wrath of HIPAA and GDPR coming down upon you, but please know that transcribed speech is indeed considered PHI, and you do need to make sure you are following all regulations and have full patient consent for it. + +```bash +% bash process_dbm.sh --input_path=/Users/JohnWick/open_dbm/sample_data --output_path=/Users/JohnWick/Desktop +--dbm_group=’acoustic speech’ +--tr=on +``` +> **Note:** The ‘on’ in the `--tr` parameter does not require quotation marks. Why? VJ was lazy. + +And that’s it! By executing the `bash process_dbm.sh` command as described in this chapter, you can process data and calculate digital biomarkers. Section 3.2 repeats all this information for folks on Windows. You can skip to Chapter 4, which details how the data output is structured. diff --git a/docs/docs/openface-docker-installation.md b/docs/docs/openface-docker-installation.md new file mode 100644 index 00000000..2815586b --- /dev/null +++ b/docs/docs/openface-docker-installation.md @@ -0,0 +1,96 @@ +--- +id: openface-docker-installation +title: OpenFace Installation +description: 'OpenDBM needs you to install OpenFace Model before running OpenDBM Facial and Movement components' +hide_table_of_contents: true +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +This page will help you install OpenFace model that is stored as Docker Image, starting from on how to install the docker. + + + + + +## If you have installed Docker + +**NOTE**: Make sure to sign in first so you can download the docker image + +
+ OpenDBM Folder + +
+ +And then execute this command to download OpenFace model +```bash +docker pull opendbmteam/dbm-openface +``` +Done! +## If you haven't, here's the instruction on how to install Docker + + +The instructions are a bit different depending on your development operating system. + +#### Development OS + + + + +Follow the instruction in the [official website](https://docs.docker.com/desktop/install/mac-install/) + + + + +Follow the instruction in the [official website](https://docs.docker.com/desktop/install/linux-install/) + + + + + +1. Follow the instruction in the [official website](https://docs.docker.com/desktop/install/windows-install/) + + **IMPORTANT NOTE**: + * Please follow the instructions to install **WSL-2** as system requirements instead of Hyper-V. Because we relying on WSL command to execute OpenFace Model. + * After you installed WSL in [Linux kernel update package](https://docs.microsoft.com/en-us/windows/wsl/install): + * Make sure to execute "wsl --set-default-version 2" + * Make sure to choose Ubuntu as Linux distribution of choice + * **wsl -l -o** to list distribution + * **wsl --install -d Ubuntu-18.04** to install Ubuntu Distribution + +
+ OpenDBM Folder +
Example on how to List Distribution and Install Ubuntu
+
+ +2. After WSL and Docker is installed. check if Docker use WSL Integration by go to the Settings > Resources > WSL Integrations, and then enable Ubuntu as our Linux Distribution. +
+ OpenDBM Folder +
WSL Integration in Docker Setting
+
+ + + +3. Make sure check and set wsl distributions to Linux distributions of your choice. In powershell/command prompt: + * Type **wsl --list** to check WSL distributions list + * **wsl --setdefault {Distribution Name}** to set the default distribution **(Use Ubuntu)** + * **wsl --list** again to check if wsl default is set + +
+ OpenDBM Folder +
Set Default WSL
+
+ + +4. And it's done! Now you can go to the next step by pulling the docker image from the step [above](#top) + + + + + + + + + + + diff --git a/docs/docs/overall-expressivity.md b/docs/docs/overall-expressivity.md new file mode 100644 index 00000000..c2c54d9f --- /dev/null +++ b/docs/docs/overall-expressivity.md @@ -0,0 +1,34 @@ +--- +id: overall-expressivity +title: Overall expressivity +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +Overall expressivity is a measure of facial expressivity regardless of emotional state. All action unit values are combined to determine the overall expressivity of the face, typically useful for measurement of blunted affect or disruption of facial expression as a consequence of motor retardation. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_comintsoft` | **Overall expressivity ‘soft’,** equivalent to the average of all `fac_EMOintsoft` variables. | +| `fac_cominthard` | **Overall expressivity ‘hard’,** equivalent to the average of all `fac_cominthard` variables. | +| `fac_comlowintsoft` | **Overall expressivity ‘soft’,** for the lower half of the face. | +| `fac_comlowinthard` | **Overall expressivity 'hard',** for the lower half of the face. | +| `fac_comuppintsoft` | **Overall expressivity ‘soft’,** for the upper half of the face. | +| `fac_comuppinthard` | **Overall expressivity hard,** for the upper half of the face. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_comintsoft_pct` | **Overall expressivity as measured through presence of emotions** i.e. the number of frames when any given emotion was being detected. | +| `fac_comintsoft_mean` | **Overall expressivity ‘soft’ mean,** equal to the average of all `fac_comintsoft` values. | +| `fac_comintsoft_std` | **Overall expressivity ‘soft’ standard deviation,** i.e. the standard deviation of `fac_comintsoft`. | +| `fac_cominthard_mean` | **Overall expressivity ‘hard’ mean,** equal to the average of all fac_cominthard values. | +| `fac_cominthard_std` | **Overall expressivity ‘hard’ standard deviation,** i.e. the standard deviation of `fac_comintsoft`. | +| `fac_comlowintsoft_pct` | Percentage of frames where any given emotion was detected in the lower half of the face. | +| `fac_comlowintsoft_mean` | **Overall expressivity ‘soft’ mean,** for the lower half of the face. | +| `fac_comlowintsoft_std` | **Overall expressivity ‘soft’ standard deviation,** for the lower half of the face. | +| `fac_comuppinthard_mean` | **Overall expressivity ‘hard’ mean,** for the upper half of the face. | +| `fac_comuppinthard_std` | **Overall expressivity ‘hard’ standard deviation,** for the upper half of the face. | \ No newline at end of file diff --git a/docs/docs/pain-expressivity.md b/docs/docs/pain-expressivity.md new file mode 100644 index 00000000..cd921855 --- /dev/null +++ b/docs/docs/pain-expressivity.md @@ -0,0 +1,26 @@ +--- +id: pain-expressivity +title: Pain Expressivity +--- + +Similar to emotion expressivity, pain expressivity is calculated using a combination of action units as defined in the Facial Action Coding System (FACS)[^1]. The following action units have been found to be associated with pain according to reports in the scientific literature: 4 + 6 + 7 + 9 + 10 + 12 + 20 + 26.[^2] + +[^1]: https://en.wikipedia.org/wiki/Facial_Action_Coding_System +[^2]: Prkachin, Kenneth M. (1992). The consistency of facial expressions of pain: a comparison across modalities. Pain, 51(3), 297–306. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_paiintsoft` | **Pain intensity ‘soft’.** Continuous vector indicating intensity of pain in each video frame regardless of whether *all* action units for that emotion are present. Range is between 0 and 1. | +| `fac_paiinthard` | **Pain intensity ‘hard’.** Continuous vector indicating intensity of pain in each video frame, only providing non-zero value if *all* action units for that emotion are present. Range is between 0 and 1. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `fac_paiintsoft_pct` | Percentage of frames where at least one of the pain AUs were detected. | +| `fac_paiintsoft_mean` | **Pain expressivity ‘soft’ mean,** equal to the average of all `fac_paiintsoft` values. | +| `fac_paiintsoft_std` | **Pain expressivity ‘soft’ standard deviation.** | +| `fac_paiinthard_mean` | **Pain expressivity ‘hard’ mean,** equal to the average of all fac_paiinthard values. | +| `fac_paiinthard_std` | **Pain expressivity ‘hard’ standard deviation.** | diff --git a/docs/docs/parts-of-speech.md b/docs/docs/parts-of-speech.md new file mode 100644 index 00000000..86a439a3 --- /dev/null +++ b/docs/docs/parts-of-speech.md @@ -0,0 +1,24 @@ +--- +id: parts-of-speech +title: Parts of Speech +--- + +Parts of speech simply describe aspects of the language used, such as usage of verbs, pronouns, adjectives, etc. along with other helpful measures such as the number of sentences spoken. These are acquired through NLTK. + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `nlp_numSentences_mean` | **Number of sentences** detected over the course of the video. | +| `nlp_singPronPerAns_mean` | **Number of singular pronouns** detected over the course of the video. | +| `nlp_singPronPerSen_mean` | **Number of singular pronouns per sentence** detected over the course of the video. | +| `nlp_pastTensePerAns_mean` | **Number of words spoken in past tense** detected over the course of the video. | +| `nlp_pastTensePerSen_mean` | **Number of words spoken in past tense per sentence** detected over the course of the video. | +| `nlp_pronounsPerAns_mean` | **Number of pronouns used** detected over the course of the video. | +| `nlp_pronounsPerSen_mean` | **Number of pronouns used per sentence** detected over the course of the video. | +| `nlp_verbsPerAns_mean` | **Number of verbs used** detected over the course of the video. | +| `nlp_verbsPerSen_mean` | **Number of verbs used per sentence** detected over the course of the video. | +| `nlp_adjectivesPerAns_mean` | **Number of adjectives used** detected over the course of the video. | +| `nlp_adjectivesPerSen_mean` | **Number of adjectives used per sentence** detected over the course of the video. | +| `nlp_nounsPerAns_mean` | **Number of nouns used** detected over the course of the video. | +| `nlp_nounsPerSen_mean` | **Number of nouns used per sentence** detected over the course of the video. | diff --git a/docs/docs/pause-characteristics.md b/docs/docs/pause-characteristics.md new file mode 100644 index 00000000..c6b9267f --- /dev/null +++ b/docs/docs/pause-characteristics.md @@ -0,0 +1,28 @@ +--- +id: pause-characteristics +title: Pause Characteristics +--- + +Fundamental frequency is usually zero when there is no voice detected. Using this understanding, frames where voice is or is not present can be determined and used to characterize pauses during speech and silence during the audio file. These metrics are quantified here. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_pausetime` | **Pause time.** Length of time with no speech detected. | +| `aco_totaltime` | **Video length.** The length of the video. | +| `aco_speakingtime` | **Time spoken.** The total length of time with speech detected. | +| `aco_numpauses` | **Number of pauses.** Number of instances with no speech. | +| `aco_pausefrac` | **Pause time.** aco_pausetime divided by aco_totaltime. | + + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_pausetime_mean` | **Pause time.** Length of time with no speech detected. | +| `aco_totaltime_mean` | **Video length.** The length of the video. | +| `aco_numpauses_mean` | **Number of pauses.** Number of instances with no speech. | +| `aco_pausefrac_mean` | **Fraction of video with pauses.** `aco_pausetime_mean` divided by `aco_totaltime_mean`. | + +> Note: The overlap between raw and derived variables for this section may be confusing; it’s a leftover effect of how our code is organized in the AiCure product, where several videos from the same individual at the same time point are averaged. For your purposes, simply rely on the derived variables here. \ No newline at end of file diff --git a/docs/docs/pro-installation.md b/docs/docs/pro-installation.md new file mode 100644 index 00000000..887a8b2c --- /dev/null +++ b/docs/docs/pro-installation.md @@ -0,0 +1,20 @@ +--- +id: pro-installation +title: Installation for Pro +description: Pro Installation +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; +import ThemedImage from '@theme/ThemedImage'; + +**NOTE for Windows User**: Please use the instruction [here](openface-docker-installation#if-you-havent-heres-the-instruction-on-how-to-install-docker) to install docker and/or enable WSL 2 as Docker Integration + +Clone OpenDBM onto your system. Make sure you have docker installed and running. From the repo, run +```bash +docker build --tag dbm . +``` +to install the docker image. Then, you’re good to go. + +--- + +Now that you’ve covered OpenDBM installation, let’s dive deeper on some of these core modules by looking at [Usage](opendbm-docker-usage). \ No newline at end of file diff --git a/docs/docs/rate-of-speech.md b/docs/docs/rate-of-speech.md new file mode 100644 index 00000000..2eb7d9ef --- /dev/null +++ b/docs/docs/rate-of-speech.md @@ -0,0 +1,15 @@ +--- +id: rate-of-speech +title: Rate of Speech +--- + +Rate of speech is simply a measure of words spoken per given unit of time. We measure this in words spoken per minute. However, for convenience, we are also outputting as a variable simply the length of the file that was analyzed and hence multiplying `nlp_wordsPerMin_mean` by `nlp_totalTime_mean` will give the total number of words spoken. + +> Please note that the latter measurement is in seconds, so one would have to divide it by 60 first :) + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `nlp_wordsPerMin_mean` | **Rate of speech**, in average number of words spoken per minute. | +| `nlp_totalTime_mean` | **Total time in seconds**, of the video or audio file from which the rate of speech measurement was acquired. | diff --git a/docs/docs/raw-variables.md b/docs/docs/raw-variables.md new file mode 100644 index 00000000..ffceefc3 --- /dev/null +++ b/docs/docs/raw-variables.md @@ -0,0 +1,22 @@ +--- +id: raw-variables +title: Raw Variables +--- + +## Raw Variables + +The raw variable data structure is slightly more complicated. The hierarchy is described below: +
+ Variables hierarchy +
Variables hierarchy
+
+ +Under the **raw_variables** folder, there will be a folder for each **filename**. Under each filename’s folder, there will be a folder for each DBM group as described in Section 3.1.3 and Chapter 5: **facial, acoustic, speech, and movement**. In each of the DBM group folders, there will be sub- folders for biomarkers e.g. the acoustic **intensity** folder has data for audio intensity (Section 5.2.3). WIthin the biomarker folder will be a CSV file that contains frame-by-frame values for variables in it. In the case of audio intensity, the audio intensity raw variable CSV file has the `aco_int` values in decibels for *each frame of audio* in the video file, whereas the `aco_int_mean` *derived* variable would simply have the mean intensity of all frames in that file. + +### OpenFace output + +As has been mentioned before, OpenDBM relies on OpenFace for a lot of its measurements. In case the user is interested in going upstream to that level of data, the **_openface** folder just contains the OpenFace output, including action units, eye gaze data, and head movement calculations. Some other facial and movement measurements are acquired using facial landmark data, which is also an output from OpenFace, though relies on a different model. That OpenFace data is saved in **_openface_lmk**. Both of the raw OpenFace output folders are there in case a user is interested in building their own raw / derived variables. If the user is simply interested in using OpenDBM’s existing measures, they can ignore these folders. + +### Speech transcription + +Assuming the user used the `--tr=on` option when executing the processing command, OpenDBM will save the text for any speech that was transcribed in a folder called **deepspeech**. All transcription is done using an open source software package called [DeepSpeech](https://github.com/mozilla/DeepSpeech) This folder simply contains the output that DeepSpeech provides. Similar to the OpenFace output, the speech transcription is saved in case the user wants to dig deeper and perhaps derive their own measures. We do ask that you read Section 3.1.4 before you save speech transcriptions. \ No newline at end of file diff --git a/docs/docs/sentiment-of-speech.md b/docs/docs/sentiment-of-speech.md new file mode 100644 index 00000000..bbe44cb8 --- /dev/null +++ b/docs/docs/sentiment-of-speech.md @@ -0,0 +1,12 @@ +--- +id: sentiment-of-speech +title: Sentiment of Speech +--- + +This refers to the emotional valence of the transcribed text based. This determination is based on pre-trained models found in the [vaderSentiment](https://pypi.org/project/vaderSentiment/ ) library. Positive values of sentiment indicate positive emotional valence, while negative values indicate negative emotional valence. + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `nlp_sentiment_mean_mean` | **Sentiment of speech**, ranging from -1 to 1, with -1 indicative negatively valenced speech and +1 indicative positively valenced speech. | diff --git a/docs/docs/shimmer.md b/docs/docs/shimmer.md new file mode 100644 index 00000000..726b24ff --- /dev/null +++ b/docs/docs/shimmer.md @@ -0,0 +1,21 @@ +--- +id: shimmer +title: Shimmer +--- + +The shimmer of an audio signal is the cycle-to-cycle amplitude variation of the sound wave.[^1] + +[^1]: Horii, Y. (1980). Vocal shimmer in sustained phonation. Journal of Speech, Language, and Hearing Research, 23(1), 202-209. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_shimmer` | **Shimmer.** Frame-wise measurements of shimmer. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_shimmer_mean` | **Shimmer mean.** Mean of `aco_shimmer` across the audio file. | +| `aco_shimmer_std` | **Shimmer standard deviation.** Standard deviation of `aco_shimmer` across the audio file. | diff --git a/docs/docs/speech.md b/docs/docs/speech.md new file mode 100644 index 00000000..44681db2 --- /dev/null +++ b/docs/docs/speech.md @@ -0,0 +1,8 @@ +--- +id: speech +title: Speech +--- + +The previous section focused on acoustic properties of speech. This section measures characteristics of language. First, any speech detected in the audio file is transcribed into text using [DeepSpeech](https://github.com/mozilla/DeepSpeech), an open-source speech transcription tool. From the transcribed text, a number of open source natural language processing tools are used to derive characteristics of speech. + +Speech biomarkers are slightly different from the other categories of digital biomarkers as the ‘raw variables’ are really just the transcribed speech (on how to acquire the transcribed speech, see Section 3.1.4). For reasons that are unimportant, we do still calculate raw variables and derived variables separately here, but there is absolutely no difference between the raw and derived variables. Hence, we recommend conducting any analysis on speech data simply from the derived variables, listed below. \ No newline at end of file diff --git a/docs/docs/supported-file-types.md b/docs/docs/supported-file-types.md new file mode 100644 index 00000000..d0035a49 --- /dev/null +++ b/docs/docs/supported-file-types.md @@ -0,0 +1,6 @@ +--- +id: supported-file-types +title: Supported File Types +--- + +First and foremost––OpenDBM only supports MP4 and MOV for video files and MP3 and WAV for audio files. Though there are several freely available online tools to convert file types quickly and easily, we advise that you be careful when using them given they do not guarantee data privacy and security. Instead, there are python packages available for local file conversion. Future versions of OpenDBM may support additional file types. For now, the user is responsible for doing this. \ No newline at end of file diff --git a/docs/docs/tutorial.md b/docs/docs/tutorial.md new file mode 100644 index 00000000..4a3c40f7 --- /dev/null +++ b/docs/docs/tutorial.md @@ -0,0 +1,10 @@ +--- +id: tutorial +title: Learn the Basics +--- + +Tutorial template + +## Hello World + +Template hello world \ No newline at end of file diff --git a/docs/docs/verbal-acoustic.md b/docs/docs/verbal-acoustic.md new file mode 100644 index 00000000..9d66f9ba --- /dev/null +++ b/docs/docs/verbal-acoustic.md @@ -0,0 +1,14 @@ +--- +id: verbal-acoustic +title: Verbal Acoustic +--- + +Verbal acoustics refer to measurements of the acoustic properties of an individual’s voice. + +It is important to note that OpenDBM does not yet filter out noise from voice. Hence, verbal acoustic variables are measurements of all audio that is inputted. Hence, inputted audio files must not have too much noise in order to obtain a high signal-to-noise ratio in the measurements. + +All verbal acoustic variables outlined here are acquired through use of Parselmouth[^1], which is a python implementation of the Praat software library[^2], a commonly used software tool for quantification of verbal acoustics. Raw variables are calculated for each audio frame (with exception of pause characteristics and voice prevalence) and derived variables abstract those measurements at the level of the audio file. + +[^1]: https://pypi.org/project/praat-parselmouth/ +[^2]: http://www.fon.hum.uva.nl/praat/ + diff --git a/docs/docs/video-guidelines.md b/docs/docs/video-guidelines.md new file mode 100644 index 00000000..1d374aab --- /dev/null +++ b/docs/docs/video-guidelines.md @@ -0,0 +1,20 @@ +--- +id: video-guidelines +title: Video Guidelines +--- + +Generally speaking––and forgive me if this is too obvious––OpenDBM is meant to calculate behavioral characteristics and subsequently derive digital biomarkers from video of an individual’s head/face area and there is a basic expectation that the video will be of that individual (e.g. patient during a clinical interview) facing generally towards the direction of the camera lens. Some key points to consider regarding video that is processed are detailed below. + +## Direction of head + +If for some frames of the video, the head is not pointing towards the camera, it is possible that no visual biomarker variables will be processed for those frames. Hence, it is recommended that most if not all of the video be of the face pointing towards the camera. To find out which frames in a video were or were not processed, go through the raw variable output and locate any **nan** entries: those are likely because there was no face detected in those frames (there’s more on this in Section 5.1). + +## Persons per video + +Each video should be unique to one person. If more than one person is present in any given frame of video, the package will get confused and only make measurements on one of the heads/faces, with no real way to determine which one of the individuals is being used to make the measurements. Furthermore, even if one head is shown at a time but the same video contains more than one unique person, then the derived variable measurements will be disrupted in that they will be averaged for all faces shown, instead of limiting calculations to a unique face. + +In many cases, the user may be processing videos of a clinician-patient interview and that video either contains shots of both the interviewer and the patient’s face (such as [this one](https://youtu.be/7_gmIvbjt3w?t=138)). The user must spatially crop the video to ensure that only the face of the individual whose behavior the user is interested in measuring (I’m assuming it’s the patient) is in the video––not the interviewer. In other cases, the video may cycle between the patient and interviewer (such as [this one](https://www.youtube.com/watch?v=4YhpWZCdiZc&t=302s)). Here, the user must temporally crop the video so that only shots that contain the patient’s face are processed, and not the ones of the interviewer’s face. It can also be the case that a caretaker or guardian is sitting next to the patient during the interview (such as [this one](https://youtu.be/I7QiPXqL9pY?t=117)). Here, too, the user must spatially crop the video to only include the face of the individual whose behavior they want to measure. + +## Video data quality + +Please be cognizant of data quality. This includes ensuring that the face is close enough to the camera that individual features are distinguishable, that lighting is consistent across the face e.g. there are no strong shadows, etc. that are going across the face, which could affect the calculations. It is also important that the entirety of the face is in the frame, which can sometimes be an issue if the face is too close to the camera e.g. if the individual is recording on a smartphone front-facing camera and brings it close to their face to speak. diff --git a/docs/docs/vocal-tremor.md b/docs/docs/vocal-tremor.md new file mode 100644 index 00000000..78c4fae9 --- /dev/null +++ b/docs/docs/vocal-tremor.md @@ -0,0 +1,28 @@ +--- +id: vocal-tremor +title: Vocal Tremor +--- + +Vocal tremor is measured according to the methods described in [this paper](https://www.researchgate.net/publication/288142544_Vocal_tremor_measurement_based_on_autocorrelation_of_contours) by Marcus Bruckl and we highly suggest reading that work to help better understand the variables below. + +### Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_freqtremfreq` | **Frequency tremor frequency (FTrF):** Frequency of the strongest low-frequency modulation of Fundamental frequency contour. | +| `mov_freqtremindex` | **Frequency tremor intensity index (FTrI):** Intensity or magnitude of the strongest low frequency modulation of Fundamental frequency contour. | +| `mov_freqtrempindex` | **Frequency tremor power index (FTrP):** Power index of the strongest low frequency modulation of Fundamental frequency contour. | +| `mov_amptremfreq` | **Amplitude tremor frequency (ATrF):** Frequency of the strongest low-frequency modulation of Amplitude contour. | +| `mov_amptremindex` | **Amplitude tremor intensity index (ATrI):** Intensity/magnitude of the strongest low frequency modulation of Amplitude contour. | +| `mov_amptrempindex` | **Amplitude tremor power index (ATrP):** Power index of the strongest low frequency modulation of Amplitude contour. | + +### Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `mov_freqtremfreq_mean` | **Mean frequency tremor frequency (FTrF):** Frequency of the strongest low-frequency modulation of Fundamental frequency contour. | +| `mov_freqtremindex_mean` | **Mean frequency tremor intensity index (FTrI):** Intensity or magnitude of the strongest low frequency modulation of Fundamental frequency contour.contour. | +| `mov_freqtrempindex_mean` | **Mean frequency tremor power index (FTrP):** Power index of the strongest low frequency modulation of Fundamental frequency contour. | +| `mov_amptremfreq_mean` | **Mean amplitude tremor frequency (ATrF):** Frequency of the strongest low-frequency modulation of Amplitude contour. | +| `mov_amptremindex_mean` | **Mean amplitude tremor intensity index (ATrI):** Intensity/magnitude of the strongest low frequency modulation of Amplitude contour. | +| `mov_amptrempindex_mean` | **Mean amplitude tremor power index (ATrP):** Power index of the strongest low frequency modulation of Amplitude contour. | \ No newline at end of file diff --git a/docs/docs/voice-prevalence.md b/docs/docs/voice-prevalence.md new file mode 100644 index 00000000..18882b50 --- /dev/null +++ b/docs/docs/voice-prevalence.md @@ -0,0 +1,20 @@ +--- +id: voice-prevalence +title: Voice Prevalence +--- + +Using knowledge on which audio frames do and do not contain voice, the prevalence of voice as opposed to silence across the audio file is also calculated simply as a derived variable. + +## Raw Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_voiceframe` | **Voice frames.** Number of frames in the audio where speech was detected. | +| `aco_totvoiceframe` | **Total frames.** Total number of frames in the audio. | +| `aco_voicepct` | **Percentage of frames with voice.** `aco_voiceframe` divided by `aco_totvoiceframe`. | + +## Derived Variables + +| Variable | Description | +| ----------- | ----------- | +| `aco_voicepct_mean` | **Percentage of frames with voice mean.** | \ No newline at end of file diff --git a/docs/docs/windows-usage.md b/docs/docs/windows-usage.md new file mode 100644 index 00000000..b02cbe60 --- /dev/null +++ b/docs/docs/windows-usage.md @@ -0,0 +1,117 @@ +--- +id: windows-usage +title: Windows Usage +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; + +## Windows + +Here, we will walk you through how to use the pipeline on Windows. Unfortunately, this process is a little more involved than on Mac/Linux. + +### Starting the container + +After a successful build (see Section 2), running the following command should show you something like this: +```bash +> docker images +REPOSITORY TAG IMAGE ID CREATED SIZE +dbm latest 91e593533c96 26 minutes ago 4.98GB +python 3.6 25bb503fe8c4 5 days ago 874MB +ubuntu 18.04 6526a1858e5d 3 weeks ago 64.2MB +``` +The images have been created but there is still no container. Note the value under IMAGE ID for the **dbm** REPOSITORY and enter it in the command below: + +```bash +> docker run -it /bin/bash +``` +Once you create a new container from this image and execute the container, you can exit anytime by running: +```bash +root@:/app# exit +``` +If the previous steps were done correctly, you should be able to see your container when running the following command: +```bash +> docker ps -a +CONTAINER ID IMAGE COMMAND CREATED STATUS +7557af03538d 91e593533c96 "/bin/bash" 27 seconds ago Exited (0) +``` +You can now start the container by using the CONTAINER ID above. +```bash +> docker start +``` +Next, you will need to enter the container to execute the pipeline. Remember you can exit the container by typing **exit** +```bash +> docker exec -it bash +``` + +### Running the main processing script + +You are now ready to start processing data. Let’s test if we are set up properly by processing the sample data included in the Github repository. In this example, we will process files in the folder **sample_data**, and return the output to a folder on Desktop. + +First you need to **move** the directory containing the data you want to process into the docker container in order to execute the pipeline. You can do this using: +```bash +> docker cp .../sample_data :/app/ +``` +Verify the location of the **sample_data** directory and its contents in the docker container: +```bash +> docker exec -it bash +root@:/app# cd sample_data +root@:/app/sample_data# ls +subj01_timepoint01.mp4 +subj01_timepoint02.mp4 +subj02_timepoint01.mp4 +subj02_timepoint02.mp4 +root@:/app/sample_data# cd .. +root@:/app# +``` +This should put you back into the container root directory. This location contains the file +**process_data.py**, and calling this script will process video and audio data using the given parameters. + +In this example, calling the main processing script **process_data.py** will look like this: +```bash +root@:/app# python3 process_data.py +--input_path sample_data/ +--output_path sample_output/ +--dbm_group facial acoustic movement speech +--tr on +``` +The parameters that need to be specified when calling the script are described below. + +### Input path + +The location of the files you want to process. If this path leads to a folder, all (supported) files will be processed, but it is also possible to have the path lead to a single file. The supported file formats are currently MP3 and WAV for audio files, and MP4 and MOV for video files. +> **Note:** this path needs to be inside your docker container. + +### Output path + +The location of the folder where the processed data will be saved. If the folder does not already exist, the path will be generated with the output files saved within it. Similar to the input path, the output path will need to be located **inside** the docker container. Only after successfully running the processing script will you be able to move the output folder out of the container and into your system. + +### DBM Group + +The biomarker groups you want to calculate, including: + +- **Facial, ** referring to measurements of facial behavior +- **Acoustic** , referring to measurements of vocal acoustics +- **Speech, ** referring to measurement of language characteristics +- **Movement** , referring to motor and oculomotor functioning + +For a list of all biomarkers within each group, see Section 5. If no group is passed, all possible biomarker groups will be calculated. + +### Transcription + +If the data passed contains speech, OpenDBM will transcribe and produce speech variables. ***However, the transcription itself will not be saved by default.*** If you are processing sensitive patient data, you should know that transcribed speech is still considered PHI. In case you are *sure* you’d like to save a copy of the speech transcription, you can turn this toggle **on**. + +### Retrieving the output + +If you navigate to the output path within the docker container you should see the output folder you passed earlier containing both a raw and derived output directory. +```bash +root@:/app# cd sample_output/ +root@:/app/sample_output# ls +root@:/app/sample_output# +raw_variables/ derived_variables/ +``` +You won’t be able to see these files in your system as long as they are in the container, so you need to run the following command to copy them back into your system. +```bash +root@:/app# exit +> docker cp :/app/sample_output Desktop/sample_data +``` +Your processed files will be located in the path Desktop/sample_data/sample_output. You’re all set with using OpenDBM! In the next section, we will go over how the outputs are structured. \ No newline at end of file diff --git a/docs/netlify.toml b/docs/netlify.toml new file mode 100644 index 00000000..160b82d9 --- /dev/null +++ b/docs/netlify.toml @@ -0,0 +1,25 @@ +[build] + base = "" + publish = "website/build" + command = "yarn && cd website && yarn build" + +[context.production.environment] + NODE_VERSION = "16.15.0" + NODE_OPTIONS = "--max_old_space_size=4096" + +[context.deploy-preview.environment] + NODE_VERSION = "16.15.0" + NODE_OPTIONS = "--max_old_space_size=4096" + PREVIEW_DEPLOY = "true" + +[[plugins]] + package = "netlify-plugin-cache" + [plugins.inputs] + paths = [ + "website/node_modules/.cache", + ] + +[[headers]] + for = "/movies.json" + [headers.values] + Access-Control-Allow-Origin = "*" diff --git a/docs/package-lock.json b/docs/package-lock.json new file mode 100644 index 00000000..bbb37a13 --- /dev/null +++ b/docs/package-lock.json @@ -0,0 +1,32708 @@ +{ + "name": 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+OpenDBM +

+
+ GitHub Actions for deploying to GitHub Pages with Static Site Generators + +[![PyPI Latest Release](https://img.shields.io/pypi/v/opendbm?style=plastic)](https://pypi.org/project/opendbm/) +[![Anaconda Latest Release](https://img.shields.io/badge/Anaconda.org-1.4.3-blue.svg?style=plastic)](https://anaconda.org/r/r-odbc) +[![PyPI - License](https://img.shields.io/pypi/l/odbm?style=plastic)](https://github.com/AiCure/open_dbm/blob/master/license.txt) +[![Test](https://raw.githubusercontent.com/AiCure/open_dbm/master/images/badges/test_status.svg)](https://github.com/AiCure/open_dbm/actions/workflows/open_dbm-code-checking.yml?query=branch%3Amaster++) +[![Coverage](https://raw.githubusercontent.com/AiCure/open_dbm/master/images/badges/code_coverage.svg)](https://github.com/AiCure/open_dbm/actions/workflows/open_dbm-code-checking.yml?query=branch%3Amaster++) +[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat)](https://github.com/psf/black) +[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) +
+ +# Supported OS Platforms + +OS | Build Status +----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +**Linux** | [![Build](https://raw.githubusercontent.com/AiCure/open_dbm/master/images/badges/linux_status.svg)](https://github.com/AiCure/open_dbm/actions/workflows/open_dbm-build-checking.yml) +**Windows** | [![Build](https://raw.githubusercontent.com/AiCure/open_dbm/master/images/badges/windows_status.svg)](https://github.com/AiCure/open_dbm/actions/workflows/open_dbm-build-checking.yml) +**macOS-Intel** | [![Build](https://raw.githubusercontent.com/AiCure/open_dbm/master/images/badges/macos_status.svg)](https://github.com/AiCure/open_dbm/actions/workflows/open_dbm-build-checking.yml) + + +# What is it OpenDBM is a software package that allows for calculation of digital biomarkers of health and functioning from video or audio of an individual’s behavior. It integrates existing tools for behavioral measurements such as facial activity, voice, speech, and movement into a single package for measurement of overall behavior. -``` bash process_dbm.sh --input_path=/path/to/data --output_path=/path/for/data/output ``` +# More About OpenDBM + +At a modular level, OpenDBM is a library that consists of the following components: + +| Component | Description | +| ---- | --- | +| [**Facial**](https://teebid.github.io/aicure_opendbm/docs/category/api/facial) | An OpenDBM module to get facial attributes | +| [**Movement**](https://teebid.github.io/aicure_opendbm/docs/category/api/movement) | An OpenDBM module to get movement attributes | +| [**Acoustic**](https://teebid.github.io/aicure_opendbm/docs/category/api/acoustic) | An OpenDBM module to get acoustic attributes | +| [**Audio**](https://teebid.github.io/aicure_opendbm/docs/category/api/audio) | An OpenDBM module to get audio attributes | + +Usually, OpenDBM is used for: + +- A digital biomaker extraction app +- A helper tools to give insight of patient condition + +# Table of Contents + + + + +- [⭐️ Installation](#%EF%B8%8F-installation) + - [Prerequisites](#prerequisites) + - [Install Dependencies](#install-dependencies) + - [OpenDBM Installation](#opendbm-installation) +- [⭐️ Usage](#%EF%B8%8F-usage) + - [Basic Usage](#basic-usage) + - [*Try your first OpenDBM program*](#try-your-first-opendbm-program) +- [⭐️ More resources](#%EF%B8%8F-more-resources) +- [⭐️ License](#%EF%B8%8F-license) +- [⭐️ People](#%EF%B8%8F-people) + + + +# ⭐️ Installation + +## Prerequisites (Install Dependencies) +### With Conda Environment (recommended) +**Make sure to install conda first at** [anaconda](https://www.anaconda.com/) + +**On Linux/macOS** +```bash +conda install -c conda-forge cmake ffmpeg sox +``` +**On Windows** +```bash +#Make sure to run in Anaconda Prompt, or add conda to the path. +conda install -c conda-forge ffmpeg sox dlib +``` +### Without Conda Environment +[Installation instructions](https://teebid.github.io/aicure_opendbm/docs/dependencies-installation) +## OpenDBM Installation +```bash +pip install opendbm +``` + +## Model Download ( Facial and Movement Components) +Make sure you have installed docker and already login to Docker Hub. + +If you haven't, Find the tutorial [here](https://teebid.github.io/aicure_opendbm/docs/openface-docker-installation) +```bash +docker pull opendbmteam/dbm-openface +``` + + + +# ⭐️ Usage +## Basic Usage +### *Try your first OpenDBM program* +```python +from opendbm import FacialActivity + +#make sure Docker is active to access the model +model = FacialActivity() +path = "sample.mp4" +model.fit(path) +landmark = model.get_landmark() +``` + +To get the attribute like mean and std is as straighforward as `.mean()`: + +```python +landmark.mean() +landmark.std() +landmark.to_dataframe() # convert results as pandas dataframe +``` + + +For more in-depth tutorials about OpenDBM, you can check out: + +- [Introduction to OpenDBM](https://teebid.github.io/aicure_opendbm/docs/intro) +- [Advance Guide](https://teebid.github.io/aicure_opendbm/docs/advance) +- [API Documentation](https://teebid.github.io/aicure_opendbm/docs/category/api) + + + +# ⭐️ More resources +- [Our wiki](https://github.com/AiCure/open_dbm/wiki) +- [OpenDBM 2.0 Documentation](https://docs.google.com/document/d/1O6OUSY9FHFCZfpIWu3Kgg0Q_dyp073xjjQ2K3viEffU/edit#heading=h.rxr2y5t62mwa) +- [AiCure page](https://aicure.com/opendbm/) + + + +# ⭐️ License +OpenDBM is published under the GNU AGPL 3.0 license. + + +# ⭐️ People +OpenDBM was developed by Anzar Abbas and Vijay Yadav, alongside Vidya Koesmahargyo and Isaac Galatzer-Levy, from within the Research and Development department at AiCure––a health tech startup in New York. It was made open source in October 2020. You can contact us at opendbm@aicure.com. + + + + -**For installation and use instructions, see the [wiki](https://github.com/AiCure/open_dbm/wiki).** -Please use the [Issues](https://github.com/AiCure/open_dbm/issues) tab to report any problems with the software. -For all other communications, contact us at opendbm@aicure.com. 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-0,0 +1,47 @@ +

    Remark SnackPlayer

    + +

    Remark plugin to embed Expo Snack's using Code Blocks

    + +## Usage + +This plugin parses codeblocks with language set as `SnackPlayer` and replaces them with embedded Expo's SnackPlayers, you can also provide parameters along with the codeblock to set some basic details. + +### Example Code Block + +```` +```SnackPlayer name=Hello%20World description=This%20is%20a%20description +import React from 'react'; +import { Text, View } from 'react-native'; + +const YourApp = () => { + return ( + + Try editing me! 🎉 + + ); +} + +export default YourApp; +``` +```` + +The above code snippet would look like this: + +Screenshot 2020-10-03 at 1 11 19 AM + +### Parameters + +| Name | Description | Default | +| ------------------ | --------------------------------------------------------- | ------------------- | +| name | SnackPlayer name | `"Example"` | +| description | Description of the example | `"Example usage"` | +| dependencies | Additional dependencies, eg. `"expo-constant"` | `""` | +| platform | Example platform | `"web"` | +| supportedPlatforms | Supported platforms | `"ios,android,web"` | +| theme | SnackPlayer theme, `"light"` or `"dark"` | `"light"` | +| preview | Preview visible, `"true"` or `"false"` | `"true"` | +| loading | iFrame loading attribute, `"auto"`, `"lazy"` or `"eager"` | `"lazy"` | + +## Styling + +To style the Snack Player wrapper you can use `.snack-player` class. diff --git a/docs/plugins/remark-snackplayer/package.json b/docs/plugins/remark-snackplayer/package.json new file mode 100644 index 00000000..1f774bfa --- /dev/null +++ b/docs/plugins/remark-snackplayer/package.json @@ -0,0 +1,31 @@ +{ + "name": "@react-native-website/remark-snackplayer", + "version": "0.0.7", + "private": true, + "description": "Remark Expo Snack Plugin", + "main": "src/index.js", + "keywords": [ + "remark", + "react-native", + "expo", + "snackplayer", + "preview" + ], + "files": [ + "src" + ], + "scripts": { + "prettier": "prettier --write \"{src/**/*.js,tests/**/*.js,*.md}\"", + "test": "yarn tape tests/index.js" + }, + "dependencies": { + "dedent": "^0.7.0", + "object.fromentries": "^2.0.3", + "unist-builder": "^2.0.3", + "unist-util-visit-parents": "^3.1.1" + }, + "devDependencies": { + "remark": "^12.0.1", + "tape": "^5.0.1" + } +} diff --git a/docs/plugins/remark-snackplayer/src/index.js b/docs/plugins/remark-snackplayer/src/index.js new file mode 100644 index 00000000..f7584968 --- /dev/null +++ b/docs/plugins/remark-snackplayer/src/index.js @@ -0,0 +1,82 @@ +'use strict'; +const visit = require('unist-util-visit-parents'); +const u = require('unist-builder'); +const dedent = require('dedent'); +const fromEntries = require('object.fromentries'); + +const parseParams = (paramString = '') => { + const params = fromEntries(new URLSearchParams(paramString)); + + if (!params.platform) { + params.platform = 'web'; + } + + return params; +}; + +const processNode = (node, parent) => { + return new Promise(async (resolve, reject) => { + try { + const params = parseParams(node.meta); + + // Gather necessary Params + const name = params.name ? decodeURIComponent(params.name) : 'Example'; + const description = params.description + ? decodeURIComponent(params.description) + : 'Example usage'; + const sampleCode = node.value; + const encodedSampleCode = encodeURIComponent(sampleCode); + const dependencies = params.dependencies || ''; + const platform = params.platform || 'web'; + const supportedPlatforms = params.supportedPlatforms || 'ios,android,web'; + const theme = params.theme || 'light'; + const preview = params.preview || 'true'; + const loading = params.loading || 'lazy'; + + // Generate Node for SnackPlayer + // See https://github.com/expo/snack/blob/main/docs/embedding-snacks.md + const snackPlayerDiv = u('html', { + value: dedent` +
    + `, + }); + + // Replace code block with SnackPlayer Node + const index = parent[0].children.indexOf(node); + parent[0].children.splice(index, 1, snackPlayerDiv); + } catch (e) { + return reject(e); + } + resolve(); + }); +}; + +const SnackPlayer = () => { + return tree => + new Promise(async (resolve, reject) => { + const nodesToProcess = []; + // Parse all CodeBlocks + visit(tree, 'code', (node, parent) => { + // Add SnackPlayer CodeBlocks to processing queue + if (node.lang == 'SnackPlayer') { + nodesToProcess.push(processNode(node, parent)); + } + }); + + // Wait for all promises to be resolved + Promise.all(nodesToProcess).then(resolve()).catch(reject()); + }); +}; + +module.exports = SnackPlayer; diff --git a/docs/plugins/remark-snackplayer/tests/index.js b/docs/plugins/remark-snackplayer/tests/index.js new file mode 100644 index 00000000..5ec9ffb7 --- /dev/null +++ b/docs/plugins/remark-snackplayer/tests/index.js @@ -0,0 +1,30 @@ +const path = require('path'); +const fs = require('fs'); +const test = require('tape'); +const remark = require('remark'); +const snackplayer = require('../'); + +const read = name => fs.readFileSync(path.join(__dirname, name), 'utf8'); +const normalizeLineEndings = str => str.replace(/\r\n/g, '\n'); + +test('remark-snackplayer', async t => { + const processor = remark().use(snackplayer); + + processor.process(read('markdown/test1.md'), (err, file) => { + if (err) t.fail('Failed to process markdown/test1.md'); + t.equal( + normalizeLineEndings(String(file)), + normalizeLineEndings(read('output/output1.html')), + 'With 1 Code Block' + ); + }); + + processor.process(read('markdown/test2.md'), (err, file) => { + if (err) t.fail('Failed to process markdown/test2.md'); + t.equal( + normalizeLineEndings(String(file)), + normalizeLineEndings(read('output/output2.html')), + 'With 2 Code Blocks' + ); + }); +}); diff --git a/docs/plugins/remark-snackplayer/tests/markdown/test1.md b/docs/plugins/remark-snackplayer/tests/markdown/test1.md new file mode 100644 index 00000000..052c2822 --- /dev/null +++ b/docs/plugins/remark-snackplayer/tests/markdown/test1.md @@ -0,0 +1,16 @@ +```SnackPlayer name=Hello%20World +import React from 'react'; +import { Text, View } from 'react-native'; + +const YourApp = () => { + return ( + + + Try editing me! 🎉 + + + ); +} + +export default YourApp; +``` diff --git a/docs/plugins/remark-snackplayer/tests/markdown/test2.md b/docs/plugins/remark-snackplayer/tests/markdown/test2.md new file mode 100644 index 00000000..6b591408 --- /dev/null +++ b/docs/plugins/remark-snackplayer/tests/markdown/test2.md @@ -0,0 +1,38 @@ +```SnackPlayer name=FirstPlayer +import React from 'react'; +import { Text, View } from 'react-native'; + +const YourApp = () => { + return ( + + + Try editing me! 🎉 + + + ); +} + +export default YourApp; +``` + +```SnackPlayer name=SecondPlayer&theme=dark&preview=false&supportedPlatforms=ios&loading=eager&dependencies=@react-native-community/slider +import React from 'react'; +import { View } from 'react-native'; +import Slider from '@react-native-community/slider'; + +const YourApp = () => { + return ( + + + + ); +} + +export default YourApp; +``` diff --git a/docs/plugins/remark-snackplayer/tests/output/output1.html b/docs/plugins/remark-snackplayer/tests/output/output1.html new file mode 100644 index 00000000..3ad54434 --- /dev/null +++ b/docs/plugins/remark-snackplayer/tests/output/output1.html @@ -0,0 +1,12 @@ +
    diff --git a/docs/plugins/remark-snackplayer/tests/output/output2.html b/docs/plugins/remark-snackplayer/tests/output/output2.html new file mode 100644 index 00000000..d5c7b39c --- /dev/null +++ b/docs/plugins/remark-snackplayer/tests/output/output2.html @@ -0,0 +1,25 @@ +
    + +
    diff --git a/docs/sync-api-docs/extractDocsFromRN.js b/docs/sync-api-docs/extractDocsFromRN.js new file mode 100644 index 00000000..91d933e3 --- /dev/null +++ b/docs/sync-api-docs/extractDocsFromRN.js @@ -0,0 +1,76 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + * + * @format + */ + +'use strict'; + +const fs = require('fs-extra'); +const glob = require('glob'); +const path = require('path'); +const reactDocs = require('@motiz88/react-native-docgen'); + +const GENERATE_ANNOTATION = '@' + 'generate-docs'; + +module.exports = extractDocsFromRN; + +async function extractDocsFromRN(rnRoot) { + // TODO: make implementation async + + const allComponentFiles = glob.sync( + path.join(rnRoot, '/Libraries/{Components,Image,}/**/*.js'), + { + nodir: true, + absolute: true, + } + ); + + const docs = []; + + for (const file of allComponentFiles) { + const contents = fs.readFileSync(file, {encoding: 'utf-8'}); + if (!contents.includes(GENERATE_ANNOTATION)) { + continue; + } + + console.log(file); + + const result = reactDocs.parse( + contents, + reactDocs.resolver.findAllComponentDefinitions, + reactDocs.defaultHandlers.filter( + handler => handler !== reactDocs.handlers.propTypeCompositionHandler + ), + {filename: file} + ); + + const filteredResult = result.filter(item => { + if (item.description) return item; + }); + + docs.push({ + file, + component: cleanComponentResult(...filteredResult), + }); + } + + // Make sure output is JSON-safe + const docsSerialized = JSON.parse(JSON.stringify(docs)); + await fs.writeFile( + path.join(__dirname, 'extracted.json'), + JSON.stringify(docsSerialized, null, 2), + 'utf8' + ); + return docsSerialized; +} + +function cleanComponentResult(component) { + return { + ...component, + methods: component.methods.filter(method => !method.name.startsWith('_')), + }; +} diff --git a/docs/sync-api-docs/generateMarkdown.js b/docs/sync-api-docs/generateMarkdown.js new file mode 100644 index 00000000..fb14f218 --- /dev/null +++ b/docs/sync-api-docs/generateMarkdown.js @@ -0,0 +1,326 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ +const tokenizeComment = require('tokenize-comment'); +const {formatTypeColumn, formatDefaultColumn} = require('./propFormatter'); +const { + formatMethodType, + formatMethodName, + formatMethodDescription, +} = require('./methodFormatter'); + +const { + formatMultiplePlatform, + stringToInlineCodeForTable, + maybeLinkifyType, + maybeLinkifyTypeName, + formatType, +} = require('./utils'); + +// Formats an array of rows as a Markdown table +function generateTable(rows) { + const colWidths = new Map(); + for (const row of rows) { + for (const col of Object.keys(row)) { + colWidths.set( + col, + Math.max(colWidths.get(col) || col.length, String(row[col]).length) + ); + } + } + if (!colWidths.size) { + return ''; + } + let header = '|', + divider = '|'; + for (const [col, width] of colWidths) { + header += ' ' + col.padEnd(width + 1) + '|'; + divider += ' ' + '-'.repeat(width) + ' ' + '|'; + } + + let result = header + '\n' + divider + '\n'; + for (const row of rows) { + result += '|'; + for (const [col, width] of colWidths) { + result += ' ' + String(row[col] || '').padEnd(width + 1) + '|'; + } + result += '\n'; + } + return result; +} + +// Formats information about a prop +function generateProp(propName, prop) { + const infoTable = generateTable([ + { + Type: formatTypeColumn(prop), + ...formatDefaultColumn(prop), + }, + ]); + + return ( + '### ' + + (prop.required ? '
    Required
    ' : '') + + '`' + + propName + + '`' + + (prop.rnTags && prop.rnTags.platform + ? formatMultiplePlatform(prop.rnTags.platform) + : '') + + '\n' + + '\n' + + (prop.description ? prop.description + '\n\n' : '') + + infoTable + ); +} + +// Formats information about a prop +function generateMethod(method, component) { + let descriptionTokenized = ''; + let header = 'Valid `params` keys are:'; + let mdPoints = ''; + if (method?.params[0]?.type?.raw) { + let desc = method?.params[0]?.type?.raw; + let len = method?.params[0]?.type?.signature?.properties?.length; + descriptionTokenized = tokenizeComment(desc); + + if ( + descriptionTokenized?.examples && + descriptionTokenized?.examples.length === len + ) { + let obj = []; + for (let i = 0; i < len; i++) { + let newObj = method?.params[0]?.type?.signature?.properties[i]; + newObj['description'] = descriptionTokenized?.examples[i]?.value; + obj.push(newObj); + } + + obj.map(item => { + if (item.description.trim() !== 'missing') + mdPoints += `- '${item.key}' (${item.value.name}) - ${item.description}`; + else mdPoints += `- '${item.key}' (${item.value.name})`; + }); + } + } + + if (method?.docblock) { + let dblock = method.docblock + .split('\n') + .map(line => { + return line.replace(/ /, ''); + }) + .join('\n'); + const docblockTokenized = tokenizeComment(dblock); + dblock = dblock.replace(/@platform .*/g, ''); + method.rnTags = {}; + const platformTag = docblockTokenized.tags.find( + ({key}) => key === 'platform' + ); + + if (platformTag) { + method.rnTags.platform = platformTag.value.split(','); + } + } + + return ( + '### `' + + method.name + + '()`' + + (method.rnTags && method.rnTags.platform + ? formatMultiplePlatform(method.rnTags.platform) + : '') + + '\n' + + '\n' + + (method.description ? method.description + '\n\n' : '') + + generateMethodSignatureTable(method, component) + + (mdPoints && header + '\n' + mdPoints) + ).trim(); +} + +function lowerFirst(s) { + return s[0].toLowerCase() + s.slice(1); +} + +function generateMethodSignatureBlock(method, component) { + return ( + '```jsx\n' + + (method.modifiers.includes('static') + ? component.displayName + '.' + : lowerFirst(component.displayName + '.')) + + method.name + + '(' + + method.params + .map(param => (param.optional ? `[${param.name}]` : param.name)) + .join(', ') + + ');' + + '\n' + + '```\n\n' + ); +} + +function generateMethodSignatureTable(method, component) { + if (!method.params.length) { + return ''; + } + + return ( + '**Parameters:**\n\n' + + generateTable( + method.params.map(param => { + return { + Name: formatMethodName(param), + Type: formatMethodType(param), + Required: param.optional ? 'No' : 'Yes', + ...(param.description && { + Description: formatMethodDescription(param), + }), + }; + }) + ) + ); +} + +// Formats information about props +function generateProps({props, composes}) { + if (!props || !Object.keys(props).length) { + return ''; + } + + return ( + '## Props' + + '\n' + + '\n' + + (composes && composes.length + ? composes + .map(parent => 'Inherits ' + maybeLinkifyTypeName(parent) + '.') + .join('\n\n') + '\n\n' + : '') + + Object.keys(props) + .sort((a, b) => a.localeCompare(b)) + .sort((a, b) => props[b].required - props[a].required) + .map(function (propName) { + return generateProp(propName, props[propName]); + }) + .join('\n\n---\n\n') + ); +} + +function generateMethods(component) { + const {methods} = component; + if (!methods || !methods.length) { + return ''; + } + + return ( + '## Methods' + + '\n' + + '\n' + + [...methods] + .sort((a, b) => + a.name.localeCompare( + b.name /* TODO @nocommit what's a neutral locale */ + ) + ) + .map(function (method) { + return generateMethod(method, component); + }) + .join('\n\n---\n\n') + ); +} + +// Generates a Docusaurus header for a component page +function generateHeader({id, title}) { + return ( + '---' + '\n' + 'id: ' + id + '\n' + 'title: ' + title + '\n' + '---' + '\n' + ); +} + +// Function to process example contained description +function preprocessDescription(desc) { + // Playground tabs for the class and functional components + const playgroundTab = `
    +
      + + +
    +
    `; + + //Blocks for different syntax sections + const functionalBlock = ``; + const classBlock = ``; + const endBlock = ``; + + desc = desc + .split('\n') + .map(line => { + return line.replace(/ /, ''); + }) + .join('\n'); + + const descriptionTokenized = tokenizeComment(desc); + // Tabs counter for examples + let tabs = 0; + descriptionTokenized.examples.map(item => { + const matchSnackPlayer = item.language.match(/(SnackPlayer name=).*/g); + if (matchSnackPlayer) { + const matchClassComp = matchSnackPlayer[0].match( + /Class%20Component%20Example/ + ); + const matchFuncComp = matchSnackPlayer[0].match( + /Function%20Component%20Example/ + ); + if (matchClassComp || matchFuncComp) tabs++; + } + }); + + if (tabs === 2) { + const firstExample = desc.slice(desc.search('```SnackPlayer') + 1); + const secondExample = firstExample.slice( + firstExample.search('```SnackPlayer') + 1 + ); + + return ( + desc.substring(0, desc.search('```SnackPlayer')) + + `\n## Example\n` + + `${playgroundTab}\n\n${functionalBlock}\n\n${ + '`' + firstExample.slice(0, firstExample.search('```') + 3) + }\n\n${classBlock}\n\n${ + '`' + secondExample.slice(0, secondExample.search('```') + 3) + }\n\n${endBlock}` + + secondExample.slice(secondExample.search('```') + 3) + ); + } else { + if (desc.search('```SnackPlayer') !== -1) { + return ( + desc.slice(0, desc.search('```SnackPlayer')) + + '\n' + + '\n## Example\n' + + '\n' + + desc.slice(desc.search('```SnackPlayer')) + ); + } else return desc; + } +} + +function generateMarkdown({id, title}, component) { + const markdownString = + generateHeader({id, title}) + + '\n' + + preprocessDescription(component.description) + + '\n\n' + + '---\n\n' + + '# Reference\n\n' + + generateProps(component) + + generateMethods(component); + + return markdownString.replace(/\n{3,}/g, '\n\n'); +} + +module.exports = generateMarkdown; diff --git a/docs/sync-api-docs/magic.js b/docs/sync-api-docs/magic.js new file mode 100644 index 00000000..7f14596a --- /dev/null +++ b/docs/sync-api-docs/magic.js @@ -0,0 +1,61 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +// Hard-coded knowledge about the OpenDBM codebase and how to document it, +// beyond what is explicitly encoded in the react-docgen artifact +// (generatedComponentApiDocs.js) + +// Ideally this file should go away. + +module.exports = { + linkableTypeAliases: { + NativeColorValue: { + text: 'color', + url: 'colors.md', + }, + ViewProps: { + text: 'View Props', + url: 'view.md#props', + }, + PressEvent: { + text: 'PressEvent', + url: 'pressevent.md', + }, + 'RefreshLayoutConsts.SIZE.DEFAULT': { + text: 'RefreshControl.SIZE', + url: 'refreshcontrol.md#refreshlayoutconstssize', + }, + StatusBarAnimation: { + text: 'StatusBarAnimation', + url: 'statusbar#statusbaranimation', + }, + StatusBarStyle: { + text: 'StatusBarStyle', + url: 'statusbar#statusbarstyle', + }, + ReactNode: { + text: 'React.Node', + url: 'react-node.md', + }, + TextStyleProps: { + text: 'Text Style Props', + url: 'text-style-props', + }, + SectionT: { + text: 'Section', + url: 'sectionlist#section', + }, + ViewStyleProps: { + text: 'View Style Props', + url: 'view-style-props', + }, + Text: { + text: 'Text', + url: 'text#style', + }, + }, +}; diff --git a/docs/sync-api-docs/methodFormatter.js b/docs/sync-api-docs/methodFormatter.js new file mode 100644 index 00000000..8f35e693 --- /dev/null +++ b/docs/sync-api-docs/methodFormatter.js @@ -0,0 +1,63 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +'use strict'; + +const {typeOf} = require('tokenize-comment/lib/utils'); +const magic = require('./magic'); +const {formatMultiplePlatform} = require('./utils'); + +function formatMethodType(param) { + let text, url; + if (param?.type?.name === 'union') { + if (param?.type?.alias) { + const {alias} = param.type; + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, alias)) { + ({url, text} = magic.linkableTypeAliases[alias]); + } + if (url) return `[${text}](${url})`; + else return param.type.alias; + } + return param.type.name; + } else { + if (param?.type?.type) return param.type.type; + else return param.type.name; + } +} + +function formatMethodName(param) { + let tag = param.description; + if (tag) { + const isMatch = tag.match(/{@platform [a-z ,]*}/); + if (isMatch) { + const platform = isMatch[0].match(/ [a-z ,]*/); + tag = tag.replace(/{@platform [a-z ,]*}/g, ''); + tag = formatMultiplePlatform(platform[0].split(',')); + return param.name + tag; + } + } + return param.name; +} + +function formatMethodDescription(param) { + let tag = param.description; + const isMatch = tag.match(/{@platform [a-z ,]*}/); + if (isMatch) { + const platform = isMatch[0].match(/ [a-z ,]*/); + + // Replaces @platform strings with empty string + // and appends type with formatted platform + tag = tag.replace(/{@platform [a-z ,]*}/g, ''); + } + return tag; +} + +module.exports = { + formatMethodType, + formatMethodName, + formatMethodDescription, +}; diff --git a/docs/sync-api-docs/package.json b/docs/sync-api-docs/package.json new file mode 100644 index 00000000..8eef3827 --- /dev/null +++ b/docs/sync-api-docs/package.json @@ -0,0 +1,18 @@ +{ + "name": "@react-native-website/sync-api", + "version": "0.0.1", + "private": true, + "scripts": { + "prettier": "prettier --write \"**/*.js\"", + "sync": "node sync-api-docs ../../react-native" + }, + "devDependencies": { + "@motiz88/react-native-docgen": "0.0.3", + "fs-extra": "^9.1.0", + "glob": "^7.1.6", + "he": "^1.2.0", + "path": "^0.12.7", + "react-docgen-markdown-renderer": "^2.1.3", + "tokenize-comment": "^3.0.1" + } +} diff --git a/docs/sync-api-docs/preprocessGeneratedApiDocs.js b/docs/sync-api-docs/preprocessGeneratedApiDocs.js new file mode 100644 index 00000000..8d1273e8 --- /dev/null +++ b/docs/sync-api-docs/preprocessGeneratedApiDocs.js @@ -0,0 +1,85 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +'use strict'; + +// Preprocess the react-docgen artifact before rendering it to Markdown. +// This file may end up in the OpenDBM repo, as part of the +// `generate-api-docs` script. + +const tokenizeComment = require('tokenize-comment'); +const {typeOf} = require('tokenize-comment/lib/utils'); + +function joinDescriptionAndExamples(tokenized) { + let sections = []; + if (tokenized.description) { + sections.push(tokenized.description); + } + for (const {raw} of tokenized.examples) { + sections.push(raw); + } + if (tokenized.footer) { + sections.push(tokenized.footer); + } + return sections.join('\n\n'); +} + +function preprocessTagsInDescription(obj) { + if (obj && obj.description) { + obj.description = obj.description + .split('\n') + .map(line => { + return line.replace(/ /, ''); + }) + .join('\n'); + const descriptionTokenized = tokenizeComment(obj.description); + obj.description = obj.description.replace( + /@platform .*|@default .*|@type .*/g, + '' + ); + obj.rnTags = {}; + const platformTag = descriptionTokenized.tags.find( + ({key}) => key === 'platform' + ); + const defaultTag = descriptionTokenized.tags.filter( + tag => tag.key === 'default' + ); + const typeTag = descriptionTokenized.tags.filter(tag => tag.key === 'type'); + + if (platformTag) { + obj.rnTags.platform = platformTag.value.split(','); + } + if (defaultTag.length) { + obj.rnTags.default = []; + defaultTag.forEach(tag => { + obj.rnTags.default.push(tag.value); + }); + } + if (typeTag.length) { + obj.rnTags.type = []; + typeTag.forEach(tag => { + obj.rnTags.type.push(tag.value); + }); + } + } +} + +// NOTE: This function mutates `docs`. +function preprocessGeneratedApiDocs(docs) { + for (const {component} of docs) { + if (component.props && component.description) { + for (const prop of Object.values(component.props)) { + preprocessTagsInDescription(prop); + } + for (const prop of component.methods) { + preprocessTagsInDescription(prop); + } + } + } +} + +module.exports = preprocessGeneratedApiDocs; diff --git a/docs/sync-api-docs/propFormatter.js b/docs/sync-api-docs/propFormatter.js new file mode 100644 index 00000000..5d27c2a9 --- /dev/null +++ b/docs/sync-api-docs/propFormatter.js @@ -0,0 +1,246 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +'use strict'; + +const {typeOf} = require('tokenize-comment/lib/utils'); +const magic = require('./magic'); +const { + formatMultiplePlatform, + stringToInlineCodeForTable, + maybeLinkifyType, + maybeLinkifyTypeName, + formatType, +} = require('./utils'); + +function formatTypeColumn(prop) { + // Checks for @type pragma comment + if (prop.rnTags && prop.rnTags.type) { + let tableRows = ''; + const typeTags = prop.rnTags.type; + + typeTags.forEach(tag => { + let url, text; + // Checks for @platform pragma in @type string + const isMatch = tag.match(/{@platform [a-z ,]*}/); + if (isMatch) { + // Extracts platforms from matched regex + const platform = isMatch[0].match(/ [a-z ,]*/); + + // Replaces @platform strings with empty string + // and appends type with formatted platform + tag = tag.replace(/{@platform [a-z ,]*}/g, ''); + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, tag)) { + ({url, text} = magic.linkableTypeAliases[tag]); + if (url) tag = `[${text}](${url})`; + } + tag = tag + formatMultiplePlatform(platform[0].split(',')); + } else { + // Check if there are multiple comma separated types in a single line + if (tag.match(/, /)) { + let newTag = ''; + const tags = tag.split(', '); + tags.forEach(item => { + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, item)) { + ({url, text} = magic.linkableTypeAliases[item]); + if (url) newTag += ', ' + `[${text}](${url})`; + } else newTag += ', ' + item; + }); + //Trim comma from beginning + tag = newTag.replace(/^, /, ''); + } + // If there is no comma separated types in rnTags + else if (Object.hasOwnProperty.call(magic.linkableTypeAliases, tag)) { + ({url, text} = magic.linkableTypeAliases[tag]); + if (url) tag = `[${text}](${url})`; + } + } + tableRows = tableRows + tag + '
    '; + }); + tableRows = tableRows.replace(/$/, ''); + return tableRows; + } + + // To extract type from prop flowType + else if (prop.flowType && Object.keys(prop.flowType).length >= 1) { + let text, url; + + // Handles flowtype name for signatures + if (prop.flowType.name === 'signature') { + // Handles flowtype for function signature + if (prop.flowType.type === 'function') { + // Extracts EventType from the raw value + const isMatch = prop.flowType.raw.match(/: [a-zA-Z]*/); + if (isMatch) { + // Formats EventType + const eventType = isMatch[0].slice(2); + // Checks for aliases in magic and generates md url + if ( + Object.hasOwnProperty.call(magic.linkableTypeAliases, eventType) + ) { + ({url, text} = magic.linkableTypeAliases[eventType]); + if (url) { + return `${prop.flowType.type}([${text}](${url}))`; + } + } + // TODO: Handling unknown function params + return `${prop.flowType.type}`; + } else { + return prop.flowType.type; + } + } else if (prop.flowType.type === 'object') { + return prop.flowType.type; + } + } else if (prop.flowType.name.includes('$ReadOnlyArray')) { + prop?.flowType?.elements[0]?.elements && + prop?.flowType?.elements[0]?.elements.forEach(elem => { + if ( + Object.hasOwnProperty.call(magic.linkableTypeAliases, elem.name) + ) { + ({url, text} = magic.linkableTypeAliases[elem.name]); + } + }); + if (url) return `array of [${text}](${url})`; + else if (prop?.flowType?.elements[0].name === 'union') { + const unionTypes = prop?.flowType?.elements[0]?.elements.reduce( + (acc, curr) => { + acc.push(curr.value); + return acc; + }, + [] + ); + return `array of enum(${unionTypes.join(', ')})`; + } else if (prop?.flowType?.elements[0]?.name) { + const typeName = prop.flowType.elements[0].name; + //array of number + if (typeName === 'number') return `array of ${typeName}`; + else if ( + Object.hasOwnProperty.call(magic.linkableTypeAliases, typeName) + ) { + ({url, text} = magic.linkableTypeAliases[typeName]); + if (url) return `array of [${text}](${url})`; + } + //default array for all other types + else return 'array'; + } + } else if (prop.flowType.name === '$ReadOnly') { + // Special Case: switch#trackcolor + let markdown = ''; + if (prop.flowType.elements[0]?.type === 'object') { + prop?.flowType?.elements[0]?.signature?.properties.forEach( + ({key, value}) => { + value?.elements?.forEach(elem => { + if ( + Object.hasOwnProperty.call(magic.linkableTypeAliases, elem.name) + ) { + ({url, text} = magic.linkableTypeAliases[elem.name]); + markdown += `${key}: [${text}](${url})` + ', '; + } + }); + if (!url) markdown += `${key}: ${value.name}` + ', '; + } + ); + if (markdown.match(/, $/)) markdown = markdown.replace(/, $/, ''); + return `${prop.flowType.elements[0]?.type}: {${markdown}}`; + } + } else if (prop.flowType.name === 'union') { + let unionTypes = prop.flowType.raw.split('|'); + + // Trim whitespaces and remove any leftover `|` (to avoid table split) + unionTypes = unionTypes + .map(elem => { + return elem.trim().replace(/|/g, ''); + }) + .filter(item => { + if (item) return item; + }); + + // Get text and url from magic aliases + prop?.flowType?.elements?.forEach(elem => { + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, elem.name)) { + ({url, text} = magic.linkableTypeAliases[elem.name]); + } + }); + + if (url) return `[${text}](${url})`; + + return `enum(${unionTypes.join(', ')})`; + } else if (prop.flowType.name === 'ReactElement') { + return 'element'; + } else { + // Get text and url from magic aliases + prop?.flowType?.elements?.forEach(elem => { + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, elem.name)) { + ({url, text} = magic.linkableTypeAliases[elem.name]); + } + }); + } + + // If no text is found, get raw values as text + if (!text) { + // TO BE FIXED + text = + (prop.flowType.raw && stringToInlineCodeForTable(prop.flowType.raw)) || + formatType(prop.flowType.name); + } + + // If URL is found, return text and link in markdown format + if (url) { + return `[${text}](${url})`; + } + + return text; + } +} + +// Adds proper markdown formatting to component's default value. +function formatDefaultColumn(prop) { + if (prop?.rnTags?.default) { + // Parse from @default annotation + let tableRows = ''; + prop.rnTags.default.forEach(tag => { + const isMatch = tag.match(/{@platform [a-z]*}/); + + if (isMatch) { + const platform = isMatch[0].match(/ [a-z]*/); + tag = tag.replace(/{@platform [a-z]*}/g, ''); + + // Checks component for NativeColorValue in default + let colorBlock = ''; + prop?.flowType?.elements.some(elem => { + if (elem.name === 'NativeColorValue' && !tag.includes('null')) { + colorBlock = ``; + return true; + } + }); + + tag = + colorBlock + + (!tag.includes('null') ? '`' + tag + '`' : tag) + + formatMultiplePlatform(platform[0].split(',')); + } else if (!tag.includes('`')) { + tag = '`' + tag + '`'; + } + tableRows = tableRows + tag + '
    '; + }); + tableRows = tableRows.replace(/$/, ''); + return {Default: tableRows}; + } else { + // Parse defaultValue if @default annotation not provided + return prop?.defaultValue?.value + ? {Default: stringToInlineCodeForTable(prop?.defaultValue?.value)} + : ''; + } +} + +module.exports = { + formatTypeColumn, + formatDefaultColumn, +}; diff --git a/docs/sync-api-docs/sync-api-docs.js b/docs/sync-api-docs/sync-api-docs.js new file mode 100644 index 00000000..b108a37e --- /dev/null +++ b/docs/sync-api-docs/sync-api-docs.js @@ -0,0 +1,51 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +// ***** EXPERIMENTAL ***** +// Updates the API docs from the OpenDBM source code. + +'use strict'; + +const process = require('process'); +const fs = require('fs-extra'); +const path = require('path'); + +const extractDocsFromRN = require('./extractDocsFromRN'); +const preprocessGeneratedApiDocs = require('./preprocessGeneratedApiDocs'); +const generateMarkdown = require('./generateMarkdown'); +const {titleToId} = require('./utils'); + +const DOCS_ROOT_DIR = path.resolve(__dirname, '..', 'docs'); + +async function generateApiDocs(rnPath) { + const apiDocs = await extractDocsFromRN(rnPath); + preprocessGeneratedApiDocs(apiDocs); + await Promise.all( + apiDocs.map(async ({component, file}, index) => { + if (!component.displayName) { + console.log( + `react-docgen data for ${path.basename(file)} was malformed, skipping` + ); + return; + } + const id = titleToId(component.displayName); + const componentMarkdown = generateMarkdown( + {title: component.displayName, id: id}, + component + ); + const outFile = path.join(DOCS_ROOT_DIR, id + '.md'); + console.log('Generated ' + outFile); + await fs.writeFile(outFile, componentMarkdown, 'utf8'); + }) + ); +} + +async function main(args) { + await generateApiDocs(args[0]); +} + +main(process.argv.slice(2)); diff --git a/docs/sync-api-docs/utils.js b/docs/sync-api-docs/utils.js new file mode 100644 index 00000000..2aefd01f --- /dev/null +++ b/docs/sync-api-docs/utils.js @@ -0,0 +1,95 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +'use strict'; +const he = require('he'); +const magic = require('./magic'); + +// Adds multiple platform tags for prop name +function formatMultiplePlatform(platforms) { + let platformString = ''; + platforms.forEach(platform => { + switch (platform.trim().toLowerCase()) { + case 'ios': + platformString += '
    ' + 'iOS' + '
    '; + break; + case 'android': + platformString += '
    ' + 'Android' + '
    '; + break; + case 'tv': + platformString += '
    ' + 'TV' + '
    '; + break; + //TODO: Add a new CSS class for VR + case 'vr': + platformString += '
    ' + 'VR' + '
    '; + } + }); + return platformString; +} + +// Wraps a string in an inline code block in a way that is safe to include in a +// table cell, by wrapping it as HTML if necessary. +function stringToInlineCodeForTable(str) { + let useHtml = /[`|]/.test(str); + str = str.replace(/\n/g, ' '); + if (useHtml) { + return '' + he.encode(str).replace(/\|/g, '|') + ''; + } + return '`' + str + '`'; +} + +function maybeLinkifyType(flowType) { + let url, text; + flowType.elements?.forEach(elem => { + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, elem.name)) { + ({url, text} = magic.linkableTypeAliases[elem.name]); + } + }); + if (!text) { + text = stringToInlineCodeForTable( + flowType.raw || formatType(flowType.name) + ); + } + if (url) { + return `[${text}](${url})`; + } + return text; +} + +function formatType(name) { + if (name.toLowerCase() === 'boolean') return 'bool'; + if (name.toLowerCase() === 'stringish') return 'string'; + if (name === '$ReadOnlyArray') return 'array'; + return name; +} + +function maybeLinkifyTypeName(name) { + let url, text; + if (Object.hasOwnProperty.call(magic.linkableTypeAliases, name)) { + ({url, text} = magic.linkableTypeAliases[name]); + } + if (!text) { + text = stringToInlineCodeForTable(name); + } + if (url) { + return `[${text}](${url})`; + } + return text; +} + +function titleToId(title) { + return title.toLowerCase().replace(/[^a-z]+/g, '-'); +} + +module.exports = { + formatMultiplePlatform, + stringToInlineCodeForTable, + maybeLinkifyType, + maybeLinkifyTypeName, + formatType, + titleToId, +}; diff --git a/docs/website/api/api-doc.md b/docs/website/api/api-doc.md new file mode 100644 index 00000000..464a49ff --- /dev/null +++ b/docs/website/api/api-doc.md @@ -0,0 +1,15 @@ +--- +id: api-doc +title: OpendDBM API +--- + +This section give an overview of OpenDBM APi methods and functions. It is not a requirement to be familiar with all materials to be effective with OpenDBM. You can still benefit from this section as it will give you insights into how we manage things to give added values to this repository. + +Each module will have its own raw variables that's too big to be included in this section. You can find the deeper explanation in the Variables section. + +## Table of Contents + +- [Facial Activity API](facial-activity-api) +- [Movement API](movement-api) +- [Verbal Acoustics API](verbal-acoustics-api) +- [Speech API](speech-api) diff --git a/docs/website/blog/2022-07-08-test-blog.md b/docs/website/blog/2022-07-08-test-blog.md new file mode 100644 index 00000000..a95c5936 --- /dev/null +++ b/docs/website/blog/2022-07-08-test-blog.md @@ -0,0 +1,8 @@ +--- +title: Test Blog +authors: [rudy-haryanto +] +tags: [announcement, release] +--- + +# Test Blog \ No newline at end of file diff --git a/docs/website/blog/2022-07-24-version-021.md b/docs/website/blog/2022-07-24-version-021.md new file mode 100644 index 00000000..1c91852c --- /dev/null +++ b/docs/website/blog/2022-07-24-version-021.md @@ -0,0 +1,10 @@ +--- +title: Announcing OpenDBM 0.2.1 +authors: [rudy-haryanto] +tags: [announcement, release] +--- + +# Announcing 0.69 + +We are excited to release a new version of OpenDBM, 0.2.1. This version comes with several improvements for the lot of things. Read on to learn more! + diff --git a/docs/website/blog/authors.yml b/docs/website/blog/authors.yml new file mode 100644 index 00000000..ba62629f --- /dev/null +++ b/docs/website/blog/authors.yml @@ -0,0 +1,6 @@ +rudy-haryanto: + name: Rudy Haryanto + title: DevOps TBID + url: https://twitter.com/rudy-haryanto + image_url: https://github.com/rudy-haryanto.png + diff --git a/docs/website/contributing/changelogs-in-pull-requests.md b/docs/website/contributing/changelogs-in-pull-requests.md new file mode 100644 index 00000000..f45ece97 --- /dev/null +++ b/docs/website/contributing/changelogs-in-pull-requests.md @@ -0,0 +1,65 @@ +--- +title: Changelogs in Pull Requests +--- + +The changelog entry in your pull request serves as a sort of "tl;dr:" for your changes: do they affect Android? are these breaking changes? is something new being added? + +Providing a changelog using a standardized format helps release coordinators write release notes. Please include a changelog as part of your pull request description. Your pull request description will be used as the commit message should the pull request get merged. + +### Format + +A changelog entry has the following format + +``` +## Changelog: + +[Category] [Type] - Message +``` + +The "Category" field may be one of: + +- **Android**, for changes that affect Android. +- **iOS**, for changes that affect iOS. +- **General**, for changes that do not fit any of the other categories. +- **Internal**, for changes that would not be relevant to developers consuming the release notes. + +The "Type" field may be one of: + +- **Added**, for new features. +- **Changed**, for changes in existing functionality. +- **Deprecated**, for soon-to-be removed features. +- **Removed**, for now removed features. +- **Fixed**, for any bug fixes. +- **Security**, in case of vulnerabilities. + +Finally, the "Message" field may answer "what and why" on a feature level. Use this to briefly tell OpenDBM users about notable changes. + +For more detail, see [How do I make a good changelog?](https://keepachangelog.com/en/1.0.0/#how) and [Why keep a changelog?](https://keepachangelog.com/en/1.0.0/#why) + +### Examples + +- `[General] [Added] - Add snapToOffsets prop to ScrollView component` +- `[General] [Fixed] - Fix various issues in snapToInterval on ScrollView component` +- `[iOS] [Fixed] - Fix crash in RCTImagePicker` + +### FAQ + +#### What if my pull request contains changes to both Android and JavaScript? + +Use the Android category. + +#### What if my pull request contains changes to both Android and iOS? + +Use the General category if the change is made in a single pull request. + +#### What if my pull request contains changes to Android, iOS, and JavaScript? + +Use the General category if the change is made in a single pull request. + +#### What if...? + +Any changelog entry is better than none. If you are unsure if you have picked the right category, use the "message" field to succinctly describe your change. + +These entries are used by the [`@rnx-kit/rn-changelog-generator`](https://github.com/microsoft/rnx-kit/tree/main/incubator/rn-changelog-generator) script to build a rough draft, which is then edited by a release coordinator. + +Your notes will be used to add your change to the correct location in the final release notes. diff --git a/docs/website/contributing/code-of-conduct.md b/docs/website/contributing/code-of-conduct.md new file mode 100644 index 00000000..7cfa3a7b --- /dev/null +++ b/docs/website/contributing/code-of-conduct.md @@ -0,0 +1,20 @@ +--- +id: code-of-conduct +title: Code of Conduct +--- + +Alongside the release of OpenDBM v2.0, we decided to release alongside it a code of conduct as is conventional for community-owned repositories. The code of conduct is [included with the codebase](https://github.com/AiCure/open_dbm/blob/master/CODE_OF_CONDUCT.md) when OpenDBM is downloaded but we’ve also pasted it below. + +## Commitments + +In adopting this Code of Conduct, we are committed to strengthening joint efforts, innovation, and the free exchange of ideas for developing, maintaining, and using open-source software. We hope to build an active and inclusive community for development of methods for measurement of health. We want all members of this community to be active participants regardless of race, gender identity, religion, creed, color, marital status, genetic information, age, nationality, or disability. + +## Values + +We promote values such as being audience centered, staying calm, professional, and respectful during discussions and communicating through active listening, We encourage all members to respectfully accept evaluation and disapproval, to always aim for what is best for the community, and above all respect their fellow members. + +We do not promote any kind of harassment, aggression, or intimidation. Personal threats, attacks, stalking, vulgar language, and any kind of insulting statements will not be tolerated. We do not approve of the exchange of disrespectful language, sketches, or cartoons nor the posting of personal information (emails, etc.) without user permission. + +## Reporting + +To report any complaint or inappropriate behavior, we ask the users to contact the moderators at [opendbm@aicure.com](mailto:opendbm@aicure.com). Moderators of the community have the right to remove offensive content that does not align with the Code of Conduct. If the content explicitly violates the Code of Conduct, it may result in disqualification from upcoming events and being blocked from the [GitHub Organization](https://help.github.com/articles/blocking-a-user-from-your-organization/) \ No newline at end of file diff --git a/docs/website/contributing/community-discussions.md b/docs/website/contributing/community-discussions.md new file mode 100644 index 00000000..85bd2011 --- /dev/null +++ b/docs/website/contributing/community-discussions.md @@ -0,0 +1,14 @@ +--- +id: community-discussions +title: Community Discussions +--- + +For any and all discussions related to the use of OpenDBM, we encourage all users to host those conversations using the (as of December of 2020) new Discussions feature on Github i.e. the [Discussions](https://github.com/AiCure/open_dbm/discussions) tab on the OpenDBM Github page. While the [Issues](https://github.com/AiCure/open_dbm/issues) tab is for technical issues, we want the Discussions tab to be for everything else. Below are a couple things we want the Discussions tab to be helpful for. + +## Discussions on variables + +We want to foster threads in the Discussions tab that users can contribute to regarding digital biomarker variables that are clinically relevant measures in the context of individual patient populations. For example, if a user is wondering which of OpenDBM’s outputted variables are relevant to, let’s say, Major Depressive Disorder, we want them to be able to turn to a thread in the Discussions tab where they can find that information. Our team will be starting some of these threads ourselves and adding to them as we run into more literature; we encourage other users to also utilize the Discussions tab to create a central repository of such information. + +## Experimental design + +One of the more common types of questions we get from users of OpenDBM is about experimental design and data collection setups. As is briefly discussed in Chapter 6, the nature of the data collection paradigm and the behaviors that are relevant differ depending on the disease state and the goals of the experiment. Not to mention––we are not authorities on experimental design whatsoever. If a user has such questions, we encourage them to post them in the [Discussions](https://github.com/AiCure/open_dbm/discussions) tab. We certainly will be monitoring it and responding to any questions to the best of our ability, but we also want to allow other researchers to provide their opinions, which we feel will be just as important to take into consideration. \ No newline at end of file diff --git a/docs/website/contributing/contributing-overview.md b/docs/website/contributing/contributing-overview.md new file mode 100644 index 00000000..5a6b2c9a --- /dev/null +++ b/docs/website/contributing/contributing-overview.md @@ -0,0 +1,22 @@ +--- +id: overview +title: Contributing Overview +description: How to contribute to OpenDBM +--- + + + +Thank you for your interest in contributing to OpenDBM! From commenting on and triaging issues, to reviewing and sending Pull Requests, all contributions are welcome. +We aim to build a vibrant and inclusive [ecosystem of partners, core contributors, and community](https://github.com/AiCure/open_dbm/blob/main/ECOSYSTEM.md) that goes beyond the main OpenDBM GitHub repository. + +The [Open Source Guides](https://opensource.guide/) website has a collection of resources for individuals, communities, and companies who want to learn how to run and contribute to an open source project. + +Contributors and people new to open source alike will find the following guides especially useful: + +- [How to Contribute to Open Source](https://opensource.guide/how-to-contribute/) +- [Building Welcoming Communities](https://opensource.guide/building-community/) + +We want to ensure that OpenDBM feels like a community of like-minded researchers and clinicians. Hence, there are a few ways we encourage users to stay involved––and why we [encourage you to join DiME, too!](https://www.dimesociety.org/) + +Most importantly, if you’re interested in OpenDBM, star the repo and [sign up for our listserv](https://docs.google.com/forms/d/e/1FAIpQLScLrgyM08YIumzJw8dxmRaMQ4byBL3J4A90FpokDhX8-KUNZw/viewform) for all updates. + diff --git a/docs/website/contributing/how-to-contribute-code.md b/docs/website/contributing/how-to-contribute-code.md new file mode 100644 index 00000000..f2705d21 --- /dev/null +++ b/docs/website/contributing/how-to-contribute-code.md @@ -0,0 +1,5 @@ +--- +title: Contribute Guidelines +--- + +With OpenDBM v2.0, we’ve also written out a simple version of [contribution guidelines,](https://github.com/AiCure/open_dbm/blob/master/CONTRIBUTING.md) available with the code base. We want to make these more detailed in the future. As we work with the first independent contributors to OpenDBM, we will be coming out with a much more robust packet of instructions for contributors. If you find the current guidelines confusing or have trouble contributing to OpenDBM, please definitely [reach out to us](mailto:opendbm@aicure.com) and we’re happy to assist. \ No newline at end of file diff --git a/docs/website/contributing/issue-reporting.md b/docs/website/contributing/issue-reporting.md new file mode 100644 index 00000000..1a90fd9f --- /dev/null +++ b/docs/website/contributing/issue-reporting.md @@ -0,0 +1,6 @@ +--- +id: issue-reporting +title: Issue Reporting +--- + +For any technical issues with using the code i.e. during installation and during use, we ask that you––instead of emailing us––bring up the issue using the Issues feature on Github i.e. in the [Issues](https://github.com/AiCure/open_dbm/issues) tab on the OpenDBM github, We have written out an [Issue template](https://github.com/AiCure/open_dbm/blob/master/.github/ISSUE_TEMPLATE/bug_report.md) that will automatically populate when you create a new issue; we suggest you follow that template. \ No newline at end of file diff --git a/docs/website/contributing/license-contact.md b/docs/website/contributing/license-contact.md new file mode 100644 index 00000000..be5bf617 --- /dev/null +++ b/docs/website/contributing/license-contact.md @@ -0,0 +1,12 @@ +--- +id: license-contact +title: License and Contact +--- + +## License + +OpenDBM is published under the [AGPL v3.0 License.](https://github.com/AiCure/open_dbm/blob/master/license.txt) + +## Contact + +For technical issues, we ask that you use the [Issues](https://github.com/AiCure/open_dbm/issues) tab to contact us. For any general discussions, we ask that you please use the [Discussions](https://github.com/AiCure/open_dbm/discussions) tab. If you’d like to contact us privately and directly, you can email us at [opendbm@aicure.com.](mailto:opendbm@aicure.comopendbm@aicure.com) \ No newline at end of file diff --git a/docs/website/contributing/opendbm-listserv-signup.md b/docs/website/contributing/opendbm-listserv-signup.md new file mode 100644 index 00000000..3161d3ec --- /dev/null +++ b/docs/website/contributing/opendbm-listserv-signup.md @@ -0,0 +1,8 @@ +--- +id: opendbm-listserv-signup +title: OpenDBM Listserv signup +--- + +[Use this link to sign up for the OpenDBM Listserv and stay up to date on release and events.](https://docs.google.com/forms/d/e/1FAIpQLScLrgyM08YIumzJw8dxmRaMQ4byBL3J4A90FpokDhX8-KUNZw/viewform) + +From time to time, we will be making either small updates to OpenDBM functionalities (additional variables, bug fixes, etc.) or large version releases with major additions to features (e.g., we want a future update to OpenDBM to include analysis of wearable data). We will also be hosting virtual (and hopefully one day in-person) events for the OpenDBM user community that allow for training, introduction to new functionalities, presentations on prominent projects, etc. In either of these cases, we’d like to keep the user community up to date so that they don’t miss out on these updates or events, so we do encourage you to [sign up for the listserv.](https://docs.google.com/forms/d/e/1FAIpQLScLrgyM08YIumzJw8dxmRaMQ4byBL3J4A90FpokDhX8-KUNZw/viewform) \ No newline at end of file diff --git a/docs/website/contributing/publications-and-referencing.md b/docs/website/contributing/publications-and-referencing.md new file mode 100644 index 00000000..c31c62cf --- /dev/null +++ b/docs/website/contributing/publications-and-referencing.md @@ -0,0 +1,8 @@ +--- +id: publications-and-referencing +title: Publications and Referencing +--- + +As the user community grows, we hope and are anticipating scientific publications whose methods depend partially or entirely on methods compiled into OpenDBM. For the authors of those publications, we request that they reference OpenDBM in their work. We are (as of December of 2020) preparing a manuscript that can be referenced. Meanwhile, we ask that authors at the very least reference the Github repository when mentioning OpenDBM. + +Additionally, we are hoping to maintain an up to date list of publications that have used methods from OpenDBM when reporting their findings. This live list of publications is linked to from many different places around the Github repository and this documentation, but [here is another link to it](https://docs.google.com/spreadsheets/u/2/d/1pRBWCCFMbEgZNQzm2Litm3RUQ6glwUwswrqGDePMvh0/edit#gid=0). If you are a user of OpenDBM and have used its methods in work that has either been presented at a conference or submitted to a journal, we ask that you please submit a citation of the work to us [using this form](https://forms.gle/Hb6bDL1GJvG1ByUX7) so that we may append the list of publications with your work. \ No newline at end of file diff --git a/docs/website/core/DocsRating.js b/docs/website/core/DocsRating.js new file mode 100644 index 00000000..b7555841 --- /dev/null +++ b/docs/website/core/DocsRating.js @@ -0,0 +1,52 @@ +import ExecutionEnvironment from '@docusaurus/ExecutionEnvironment'; +import React, {useState} from 'react'; + +const DocsRating = ({label}) => { + if (!ExecutionEnvironment.canUseDOM) { + return null; + } + + const [haveVoted, setHaveVoted] = useState(false); + const giveFeedback = value => { + if (window.ga) { + window.ga('send', { + hitType: 'event', + eventCategory: 'button', + eventAction: 'feedback', + eventLabel: label, + eventValue: value, + }); + } + setHaveVoted(true); + }; + + return ( +
    + {haveVoted ? ( + 'Thanks for letting us know!' + ) : ( + <> + Is this page useful? + giveFeedback(1)} + xmlns="http://www.w3.org/2000/svg" + viewBox="0 0 81.13 89.76"> + + + giveFeedback(0)} + xmlns="http://www.w3.org/2000/svg" + viewBox="0 0 81.13 89.76"> + + + + )} +
    + ); +}; + +export default DocsRating; diff --git a/docs/website/core/PrismTheme.js b/docs/website/core/PrismTheme.js new file mode 100644 index 00000000..7f8c4e43 --- /dev/null +++ b/docs/website/core/PrismTheme.js @@ -0,0 +1,119 @@ +const theme = { + plain: { + color: '#FFFFFF', + backgroundColor: '#282C34', + }, + styles: [ + { + types: ['property'], + style: { + color: '#2aa198', + }, + }, + { + types: ['attr-name', 'comment', 'prolog', 'doctype', 'cdata'], + style: { + color: '#93a1a1', + }, + }, + { + types: ['punctuation'], + style: { + color: '#657b83', + }, + }, + { + types: ['namespace'], + style: { + opacity: 0.7, + }, + }, + { + types: ['selector', 'char', 'builtin', 'url'], + style: { + color: '#2aa198', + }, + }, + { + types: ['entity'], + style: { + color: '#2aa198', + }, + }, + { + types: ['atrule', 'inserted'], + style: { + color: '#859900', + }, + }, + { + types: ['important', 'variable', 'deleted'], + style: { + color: '#cb4b16', + }, + }, + { + types: ['important', 'bold'], + style: { + fontWeight: 'bold', + }, + }, + { + types: ['italic'], + style: { + fontStyle: 'italic', + }, + }, + { + types: ['entity'], + style: { + cursor: 'help', + }, + }, + // react-native theme + { + types: ['attr-name', 'keyword'], + style: { + color: '#c5a5c5', + }, + }, + { + types: ['string', 'regex', 'attr-value'], + style: { + color: '#8dc891', + }, + }, + { + types: ['number', 'constant', 'symbol'], + style: { + color: '#5a9bcf', + }, + }, + { + types: ['boolean'], + style: { + color: '#ff8b50', + }, + }, + { + types: ['class-name'], + style: { + color: '#fac863', + }, + }, + { + types: ['function'], + style: { + color: '#79b6f2', + }, + }, + { + types: ['operator', 'tag'], + style: { + color: '#fc929e', + }, + }, + ], +}; + +module.exports = theme; diff --git a/docs/website/core/TableRowWithCodeBlock.js b/docs/website/core/TableRowWithCodeBlock.js new file mode 100644 index 00000000..c66eab9c --- /dev/null +++ b/docs/website/core/TableRowWithCodeBlock.js @@ -0,0 +1,22 @@ +import React, {useState} from 'react'; + +import CodeBlock from '@theme/CodeBlock'; + +const TableRowWithCodeBlock = ({name, url, code}) => ( + + + {url ? ( + + {name} + + ) : ( + name + )} + + + {code} + + +); + +export default TableRowWithCodeBlock; diff --git a/docs/website/core/TabsConstants.js b/docs/website/core/TabsConstants.js new file mode 100644 index 00000000..91d8ea5e --- /dev/null +++ b/docs/website/core/TabsConstants.js @@ -0,0 +1,95 @@ +import ExecutionEnvironment from '@docusaurus/ExecutionEnvironment'; + +const isMacOS = ExecutionEnvironment.canUseDOM + ? navigator.platform.startsWith('Mac') + : false; +const isWindows = ExecutionEnvironment.canUseDOM + ? navigator.platform.startsWith('Win') + : false; + +const syntax = [ + {label: 'Function Component', value: 'functional'}, + {label: 'Class Component', value: 'classical'}, +]; +const defaultSyntax = 'functional'; + +const packageManagers = [ + {label: 'npm', value: 'npm'}, + {label: 'Yarn', value: 'yarn'}, +]; +const defaultPackageManager = 'npm'; + +const androidLanguages = [ + {label: 'Java', value: 'java'}, + {label: 'Kotlin', value: 'kotlin'}, +]; +const defaultAndroidLanguage = 'java'; + +const javaScriptSpecLanguages = [ + {label: 'Flow', value: 'flow'}, + {label: 'TypeScript', value: 'typescript'}, +]; +const defaultJavaScriptSpecLanguages = 'flow'; + +const guides = [{label: 'Install Dependencies', value: 'dep-install'}]; +const defaultGuide = 'dep-install'; + +const guidesDocker = [{label: 'Installing Docker Images', value: 'docker-install'}]; +const defaultGuideDocker = 'docker-install'; + +const platforms = [ + {label: 'Android', value: 'android'}, + {label: 'iOS', value: 'ios'}, +]; +const defaultPlatform = isMacOS ? 'ios' : 'android'; + +const oses = [ + {label: 'macOS', value: 'macos'}, + {label: 'Linux', value: 'linux'}, + {label: 'Windows', value: 'windows'}, +]; +const defaultOs = isMacOS ? 'macos' : isWindows ? 'windows' : 'linux'; + +const getDevNotesTabs = (tabs = ['android', 'ios', 'web', 'windows']) => + [ + tabs.includes('android') ? {label: 'Android', value: 'android'} : undefined, + tabs.includes('ios') ? {label: 'iOS', value: 'ios'} : undefined, + tabs.includes('web') ? {label: 'Web', value: 'web'} : undefined, + tabs.includes('windows') ? {label: 'Windows', value: 'windows'} : undefined, + ].filter(Boolean); + +const getLibraryNotesTabs = ( + tabs = ['researchers', 'data_scientist', 'engineer'] +) => + [ + tabs.includes('researchers') + ? {label: 'Researchers', value: 'researchers'} + : undefined, + tabs.includes('data_scientist') + ? {label: 'Data Scientist', value: 'data_scientist'} + : undefined, + tabs.includes('engineer') + ? {label: 'Python Engineer', value: 'engineer'} + : undefined, + ].filter(Boolean); + +export default { + defaultGuide, + defaultGuideDocker, + defaultOs, + defaultPackageManager, + defaultPlatform, + defaultSyntax, + defaultAndroidLanguage, + javaScriptSpecLanguages, + defaultJavaScriptSpecLanguages, + getDevNotesTabs, + getLibraryNotesTabs, + guides, + guidesDocker, + oses, + packageManagers, + platforms, + syntax, + androidLanguages, +}; diff --git a/docs/website/docusaurus.config.js b/docs/website/docusaurus.config.js new file mode 100644 index 00000000..b22720d6 --- /dev/null +++ b/docs/website/docusaurus.config.js @@ -0,0 +1,370 @@ +const users = require('./showcase.json'); +const versions = require('./versions.json'); + +const lastVersion = versions[0]; +const copyright = `Copyright © ${new Date().getFullYear()} AiCure, Inc.`; + +const commonDocsOptions = { + breadcrumbs: false, + showLastUpdateAuthor: false, + showLastUpdateTime: true, + editUrl: 'https://github.com/AiCure/open_dbm/blob/master/docs/', + remarkPlugins: [require('@react-native-website/remark-snackplayer')], +}; + +/** @type {import('@docusaurus/types').DocusaurusConfig} */ +module.exports = { + title: 'OpenDBM', + tagline: 'AiCure Digital Biomaker Tools', + organizationName: 'teebid', + projectName: 'aicure_opendbm', + url: 'https://teebid.github.io', + baseUrl: '/aicure_opendbm/', + clientModules: [require.resolve('./snackPlayerInitializer.js')], + trailingSlash: false, // because trailing slashes can break some existing relative links + scripts: [ + { + src: 'https://cdn.jsdelivr.net/npm/focus-visible@5.2.0/dist/focus-visible.min.js', + defer: true, + }, + { + src: 'https://widget.surveymonkey.com/collect/website/js/FILLWITHSOMETHING.js', + defer: true, + }, + {src: 'https://snack.expo.dev/embed.js', defer: true}, + ], + favicon: 'img/favicon.ico', + titleDelimiter: '·', + customFields: { + users, + }, + i18n: { + defaultLocale: 'en', + locales: ['en'], + }, + onBrokenLinks: 'throw', + webpack: { + jsLoader: isServer => ({ + loader: require.resolve('esbuild-loader'), + options: { + loader: 'tsx', + format: isServer ? 'cjs' : undefined, + target: isServer ? 'node12' : 'es2017', + }, + }), + }, + presets: [ + [ + '@docusaurus/preset-classic', + /** @type {import('@docusaurus/preset-classic').Options} */ + ({ + docs: { + path: '../docs', + sidebarPath: require.resolve('./sidebars.json'), + editCurrentVersion: true, + onlyIncludeVersions: + process.env.PREVIEW_DEPLOY === 'true' + ? ['current', ...versions.slice(0, 2)] + : undefined, + versions: { + [lastVersion]: { + badge: false, // Do not show version badge for last RN version + }, + }, + ...commonDocsOptions, + }, + blog: { + path: 'blog', + blogSidebarCount: 'ALL', + blogSidebarTitle: 'All Blog Posts', + feedOptions: { + type: 'all', + copyright, + }, + }, + theme: { + customCss: [ + require.resolve('./src/css/customTheme.scss'), + require.resolve('./src/css/index.scss'), + require.resolve('./src/css/showcase.scss'), + require.resolve('./src/css/versions.scss'), + ], + }, + googleAnalytics: { + trackingID: 'UA-41298772-2', + }, + gtag: { + trackingID: 'UA-41298772-2', + }, + }), + ], + ], + plugins: [ + 'docusaurus-plugin-sass', + [ + 'content-docs', + /** @type {import('@docusaurus/plugin-content-docs').Options} */ + ({ + id: 'extras', + path: 'extras', + routeBasePath: '/extras', + sidebarPath: require.resolve('./sidebarsExtras.json'), + ...commonDocsOptions, + }), + ], + [ + 'content-docs', + /** @type {import('@docusaurus/plugin-content-docs').Options} */ + ({ + id: 'contributing', + path: 'contributing', + routeBasePath: '/contributing', + sidebarPath: require.resolve('./sidebarsContributing.json'), + ...commonDocsOptions, + }), + ], + [ + 'content-docs', + /** @type {import('@docusaurus/plugin-content-docs').Options} */ + ({ + id: 'api', + path: 'api', + routeBasePath: '/api', + sidebarPath: require.resolve('./sidebarsAPI.json'), + ...commonDocsOptions, + }), + ], + [ + '@docusaurus/plugin-pwa', + { + debug: true, + offlineModeActivationStrategies: ['appInstalled', 'queryString'], + pwaHead: [ + { + tagName: 'link', + rel: 'icon', + href: '/img/pwa/manifest-icon-512.png', + }, + { + tagName: 'link', + rel: 'manifest', + href: '/manifest.json', + }, + { + tagName: 'meta', + name: 'theme-color', + content: '#20232a', + }, + { + tagName: 'meta', + name: 'apple-mobile-web-app-capable', + content: 'yes', + }, + { + tagName: 'meta', + name: 'apple-mobile-web-app-status-bar-style', + content: '#20232a', + }, + { + tagName: 'link', + rel: 'apple-touch-icon', + href: '/img/pwa/manifest-icon-512.png', + }, + { + tagName: 'link', + rel: 'mask-icon', + href: '/img/pwa/manifest-icon-512.png', + color: '#06bcee', + }, + { + tagName: 'meta', + name: 'msapplication-TileImage', + href: '/img/pwa/manifest-icon-512.png', + }, + { + tagName: 'meta', + name: 'msapplication-TileColor', + content: '#20232a', + }, + ], + }, + ], + ], + themeConfig: + /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ + ({ + prism: { + defaultLanguage: 'jsx', + theme: require('./core/PrismTheme'), + additionalLanguages: [ + 'java', + 'kotlin', + 'objectivec', + 'swift', + 'groovy', + 'ruby', + 'flow', + ], + }, + navbar: { + title: 'OpenDBM', + logo: { + src: 'img/header_logo.png', + alt: 'OpenDBM', + }, + style: 'dark', + items: [ + { + label: 'Getting Started', + type: 'doc', + docId: 'getting-started', + position: 'right', + }, + { + label: 'Variables', + type: 'doc', + docId: 'biomaker-variables', + position: 'right', + }, + { + label: 'API', + type: 'doc', + docId: 'api-doc', + position: 'right', + docsPluginId: 'api', + }, + { + label: 'Resources', + type: 'doc', + docId: 'extras', + position: 'right', + docsPluginId: 'extras', + + }, + + { + to: '/blog', + label: 'Blog', + position: 'right', + }, + { + type: 'docsVersionDropdown', + position: 'left', + dropdownActiveClassDisabled: true, + dropdownItemsAfter: [ + { + to: '/versions', + label: 'All versions', + }, + ], + }, + { + href: 'https://github.com/AiCure/open-dbm', + 'aria-label': 'GitHub repository', + position: 'right', + className: 'navbar-github-link', + }, + ], + }, + image: 'img/logo-og.png', + footer: { + style: 'dark', + links: [ + { + title: 'Docs', + items: [ + { + label: 'Getting Started', + to: 'docs/getting-started', + }, + { + label: 'Tutorial', + to: 'docs/tutorial', + }, + { + label: 'OpenDBM Biomaker Variables', + to: 'docs/biomaker-variables', + }, + { + label: 'More Resources', + to: 'docs/more-resources', + }, + ], + }, + { + title: 'Community', + items: [ + { + label: 'The OpenDBM Community', + to: 'help', + }, + { + label: "Who's using OpenDBM?", + to: 'showcase', + }, + { + label: 'Ask Questions on Stack Overflow', + href: 'https://stackoverflow.com/questions/tagged/opendbm', + }, + ], + }, + { + title: 'Find us', + items: [ + { + label: 'Blog', + to: 'blog', + }, + { + label: 'GitHub', + href: 'https://github.com/AiCure/open-dbm', + }, + ], + }, + { + title: 'More', + items: [ + { + label: 'AiCure', + href: 'https://aicure.com/', + }, + { + label: 'AiCure OpenDBM', + href: 'https://aicure.com/opendbm/', + }, + { + label: 'Docs (Word version)', + href: 'https://docs.google.com/document/d/1O6OUSY9FHFCZfpIWu3Kgg0Q_dyp073xjjQ2K3viEffU/edit#heading=h.rxr2y5t62mwa', + }, + ], + }, + ], + logo: { + alt: 'OpenDBM Open Source Logo', + src: 'img/oss_logo.png', + href: 'https://aicure.com/opendbm', + }, + copyright, + }, + algolia: { + appId: '8TDSE0OHGQ', + apiKey: '83cd239c72f9f8b0ed270a04b1185288', + indexName: 'react-native-v2', + contextualSearch: true, + }, + metadata: [ + { + property: 'og:image', + content: + 'https://raw.githubusercontent.com/teebid/aicure_opendbm/master/docs/website/static/img/header_logo.png', + }, + {name: 'twitter:card', content: 'summary_large_image'}, + { + name: 'twitter:image', + content: + 'https://raw.githubusercontent.com/teebid/aicure_opendbm/master/docs/website/static/img/header_logo.png', + }, + {name: 'twitter:site', content: '@aicure'}, + ], + }), +}; diff --git a/docs/website/extras/_fabric-warning.mdx b/docs/website/extras/_fabric-warning.mdx new file mode 100644 index 00000000..16b4e47e --- /dev/null +++ b/docs/website/extras/_fabric-warning.mdx @@ -0,0 +1,5 @@ +:::caution + +This document refers to the architecture of the new renderer, [Fabric](fabric-renderer), that is in active roll-out. + +::: diff --git a/docs/website/extras/changelogs-in-pull-requests.md b/docs/website/extras/changelogs-in-pull-requests.md new file mode 100644 index 00000000..d7445709 --- /dev/null +++ b/docs/website/extras/changelogs-in-pull-requests.md @@ -0,0 +1,65 @@ +--- +title: Changelogs in Pull Requests +--- + +The changelog entry in your pull request serves as a sort of "tl;dr:" for your changes: do they affect Android? are these breaking changes? is something new being added? + +Providing a changelog using a standardized format helps release coordinators write release notes. Please include a changelog as part of your pull request description. Your pull request description will be used as the commit message should the pull request get merged. + +### Format + +A changelog entry has the following format + +``` +## Changelog: + +[Category] [Type] - Message +``` + +The "Category" field may be one of: + +- **Android**, for changes that affect Android. +- **iOS**, for changes that affect iOS. +- **General**, for changes that do not fit any of the other categories. +- **Internal**, for changes that would not be relevant to developers consuming the release notes. + +The "Type" field may be one of: + +- **Added**, for new features. +- **Changed**, for changes in existing functionality. +- **Deprecated**, for soon-to-be removed features. +- **Removed**, for now removed features. +- **Fixed**, for any bug fixes. +- **Security**, in case of vulnerabilities. + +Finally, the "Message" field may answer "what and why" on a feature level. Use this to briefly tell OpenDBM users about notable changes. + +For more detail, see [How do I make a good changelog?](https://keepachangelog.com/en/1.0.0/#how) and [Why keep a changelog?](https://keepachangelog.com/en/1.0.0/#why) + +### Examples + +- `[General] [Added] - Add snapToOffsets prop to ScrollView component` +- `[General] [Fixed] - Fix various issues in snapToInterval on ScrollView component` +- `[iOS] [Fixed] - Fix crash in RCTImagePicker` + +### FAQ + +#### What if my pull request contains changes to both Android and JavaScript? + +Use the Android category. + +#### What if my pull request contains changes to both Android and iOS? + +Use the General category if the change is made in a single pull request. + +#### What if my pull request contains changes to Android, iOS, and JavaScript? + +Use the General category if the change is made in a single pull request. + +#### What if...? + +Any changelog entry is better than none. If you are unsure if you have picked the right category, use the "message" field to succinctly describe your change. + +These entries are used by the [`@rnx-kit/rn-changelog-generator`](https://github.com/microsoft/rnx-kit/tree/main/incubator/rn-changelog-generator) script to build a rough draft, which is then edited by a release coordinator. + +Your notes will be used to add your change to the correct location in the final release notes. diff --git a/docs/website/extras/ci-cd-pipeline.md b/docs/website/extras/ci-cd-pipeline.md new file mode 100644 index 00000000..20fb0f7e --- /dev/null +++ b/docs/website/extras/ci-cd-pipeline.md @@ -0,0 +1,98 @@ +--- +id: ci-cd-pipeline +title: OpenDBM CI CD Pipeline +--- + +## Summary + +OpenDBM CI CD Pipeline is very important as its job is to maintain the quality of the library for each new changes. The OpenDBM CI CD pipeline is divided into multiple sections that serve different purposes. Before OpenDBM dive into those sections, please see below the summary of the entirer pipeline flow. + +
    + OpenDBM Pipeline Flow +
    ODBM Pipeline Flow
    +
    + +The git flow started when the community or OpenDBM team create stories to do. You can fork from master branch and named the fork based on the requirement (bug fix / enhancement). For instance if its enhancement, the fork name is feature/[github_name]/[feature_name]. The naming convention is not enforced for now but its a good practise to do so. Then after the feature developed and tested locally, the developer need to commit and push their changes into the their forked repository. But in doing so, there will be pre-commit checking which focused on linting will be executed. Upon success, the code will be pushed to your forked repo. + +After it pushed, you need to create a pull request. After the PR is created, Github Actions will automatically trigger Code Checking chain processes, to make sure the code is clean and clear of vulnerabilities. It will also run the series of unit tests and run the test cases on different platform (MacOs, Windows, Linux). Only after the Code Checking success, the Release Manager can merge the PR. + +After it merged, again the Github Actions will be executed Code Checking on the master branch. After the Code Checking is successful, the developers need to create the tag which marked as release version. When tag created successfully, it will again run the Code Check, and additionally it will run the automatic update of OpenDBM to PyPi. + +
    + OpenDBM Workflows +
    ODBM Workflows
    +
    + +> The OpenDBM is also using caching to speed up the pipeline deployment. So the installation and dependencies installation will be done in fast time. The only time needed is to download the cache into the github action container. You can check the cache key in job `- uses: actions/cache@v3` in `.github/workflows/open_dbm-code-checking.yml` file. +## OpenDBM Code Checking +The configuration for this pipelines is located under `.github/workflows/open_dbm-code-checking.yml`. Its the pipeline that will trigger in almost every git events. When you push your changes to your forked repository, it will run using your own github actions. It also only triggers when you change the files of the core library such as under dbm_lib directory. Any non-core files changes will not trigger this pipeline. + +### Linting +Linting is a way of detecting errors in code that can be solved with syntax or style changes. People often use linting to find simple errors, such as inconsistent spacing or formatting. This is generally more effective than merely running the code. + +A good linter will often flag errors that the compiler would not catch. Often these are frivolous problems such as unused variables, but they serve to remind programmers about best practices and are sometimes harder for humans to catch when scanning through a large body of code. In Python, there are many options for linters including PyLint, black and pylama. In ODBM-G2, OpenDBM will use flake8 as our linter. + +### Vulnerabilities Scanning +With a 650% increase in next-gen cyberattacks against open source tools recorded in the last year, it is important to secure openDBM code by scanning the possible vulnerabilities from third party libraries. + +ODBM-G2 will be using safety (https://pypi.org/project/safety) to scan the third party vulnerabilities. + +
    + OpenDBM Safety +
    ODBM Safety
    +
    + +### Unit tests +Unit Test is a way to test every unit/component in codes. This unit can be a function, method, procedure, or module. Unit tests must be isolated from the original code to verify its correctness. + +OpenDBM is using one of the most popular frameworks for unit testing, Pytest. Pytest framework is easier to read, more straightforward to write, and can be scalable to build complex testing. + +In OpenDBM project, the unit test will be stored in Test folder. The Unit Test file structure will mimic OpenDBM File Structure to improve the readability / easier to check. For example, as below. + +
    + OpenDBM Unit tests +
    ODBM Unit tests
    +
    + +To have test case material, OpenDBM use video from various sources to generate all output from ODBM-G1. This video captures all the functionality that OpenDBM has, such as emotional expressivity, eye blink, head movement, speech, etc. The output that is stored in CSV files then are used as our material to do unit testing + +There will be 2 types of expected output: +* Non-numeric. If the expected output is non-numeric, then in order to pass the test case, the new codes must generate precisely the same output as the previous codes. +* Numeric. If the expected output is numeric, then in order to pass the test case, the new codes should generate the same output as the previous codes with a margin of error. +Formula for margin of error will be as follow: +tol = max⁡(rel_tol , abs_tol ) +With +tol  = Tolerance value between actual output and expected output +rel_tol = relative tolerance based on the magnitude of two numbers +abs_tol= absolute tolerance (constant) + +Formula above is a standard for Python [PEP 485](https://peps.python.org/pep-0485/) for testing approximate equality +> Currently the code coverage for OpenDBM is reaching 81% + +## OpenDBM Build Checking + +This pipeline is to ensure the new changes that will merged to OpenDBM library still supporting one of the great things about OpenDBM, which is supporting all OS platforms. The pipeline not only ensure the installation process run without any problem in all platforms, but also to ensure the functionalities run without problem by executing the test cases in all platforms. If the one of the OS is/are failling due to new changes, it will be notified to the developer and OpenDBM team, and also generate failed badge and display it in the OpenDBM github pages + +The pipeline will trigger if there is new Merge Request created. + +
    + OpenDBM Build Checking +
    ODBM Build Checking
    +
    + +## OpenDBM Publish Release +This pipeline triggered only if the release manager create a release tag. There is also a condition in the pipeline that the release should not be draft / pre release tag. Only when official release created, it will run the pipeline that lives in `.github/workflows/open_dbm-publish-release.yml`, and publish the new version of OpenDBM library to PyPI + +
    + OpenDBM PyPI release page +
    ODBM PyPI release page
    +
    + +## OpenDBM Web Documentation Deployment +This pipeline is to make deployment of OpenDBM Web documentation. The configuration file is in `.github/workflows/open_dbm-docs-deploy.yml` file. You can find the details about [OpenDBM documentation here](odbm-doc). +> This pipeline only triggered manually. We can go to github actions, select OpenDBM Web Documentation Deployment, the choose the Run WorkFlow +> We need a proper Github Token that can build and push the github pages. + +## Github Environment Variables +**GH_TOKEN** : Its to update the badge based on conditions defined in the pipeline. It push the new badge status if there's any status difference after pipeline. Its also used to deploy the Web Documentation to Github pages +**TWINE_PASSWORD** : Pipeline use this variable to push into the PyPI. By default the pipeline use __token__ as the username, indicates that to push to PyPI we will use token instead of credentials \ No newline at end of file diff --git a/docs/website/extras/code-of-conduct.md b/docs/website/extras/code-of-conduct.md new file mode 100644 index 00000000..263e345f --- /dev/null +++ b/docs/website/extras/code-of-conduct.md @@ -0,0 +1,20 @@ +--- +id: code-of-conduct +title: Code of Conduct +--- + +Alongside the release of OpenDBM v2.0, we decided to release alongside it a code of conduct as is conventional for community-owned repositories. The code of conduct is [included with the codebase](https://github.com/AiCure/open_dbm/blob/master/CODE_OF_CONDUCT.md) when OpenDBM is downloaded but we’ve also pasted it below. + +## Commitments + +In adopting this Code of Conduct, we are committed to strengthening joint efforts, innovation, and the free exchange of ideas for developing, maintaining, and using open-source software. We hope to build an active and inclusive community for development of methods for measurement of health. We want all members of this community to be active participants regardless of race, gender identity, religion, creed, color, marital status, genetic information, age, nationality, or disability. + +## Values + +We promote values such as being audience centered, staying calm, professional, and respectful during discussions and communicating through active listening, We encourage all members to respectfully accept evaluation and disapproval, to always aim for what is best for the community, and above all respect their fellow members. + +We do not promote any kind of harassment, aggression, or intimidation. Personal threats, attacks, stalking, vulgar language, and any kind of insulting statements will not be tolerated. We do not approve of the exchange of disrespectful language, sketches, or cartoons nor the posting of personal information (emails, etc.) without user permission. + +## Reporting + +To report any complaint or inappropriate behavior, we ask the users to contact the moderators at [opendbm@aicure.com](mailto:opendbm@aicure.com). Moderators of the community have the right to remove offensive content that does not align with the Code of Conduct. If the content explicitly violates the Code of Conduct, it may result in disqualification from upcoming events and being blocked from the [GitHub Organization](https://help.github.com/articles/blocking-a-user-from-your-organization/) diff --git a/docs/website/extras/community-discussions.md b/docs/website/extras/community-discussions.md new file mode 100644 index 00000000..d8003b82 --- /dev/null +++ b/docs/website/extras/community-discussions.md @@ -0,0 +1,14 @@ +--- +id: community-discussions +title: Community Discussions +--- + +For any and all discussions related to the use of OpenDBM, we encourage all users to host those conversations using the (as of December of 2020) new Discussions feature on Github i.e. the [Discussions](https://github.com/AiCure/open_dbm/discussions) tab on the OpenDBM Github page. While the [Issues](https://github.com/AiCure/open_dbm/issues) tab is for technical issues, we want the Discussions tab to be for everything else. Below are a couple things we want the Discussions tab to be helpful for. + +## Discussions on variables + +We want to foster threads in the Discussions tab that users can contribute to regarding digital biomarker variables that are clinically relevant measures in the context of individual patient populations. For example, if a user is wondering which of OpenDBM’s outputted variables are relevant to, let’s say, Major Depressive Disorder, we want them to be able to turn to a thread in the Discussions tab where they can find that information. Our team will be starting some of these threads ourselves and adding to them as we run into more literature; we encourage other users to also utilize the Discussions tab to create a central repository of such information. + +## Experimental design + +One of the more common types of questions we get from users of OpenDBM is about experimental design and data collection setups. As is briefly discussed in Chapter 6, the nature of the data collection paradigm and the behaviors that are relevant differ depending on the disease state and the goals of the experiment. Not to mention––we are not authorities on experimental design whatsoever. If a user has such questions, we encourage them to post them in the [Discussions](https://github.com/AiCure/open_dbm/discussions) tab. We certainly will be monitoring it and responding to any questions to the best of our ability, but we also want to allow other researchers to provide their opinions, which we feel will be just as important to take into consideration. diff --git a/docs/website/extras/contributing-overview.md b/docs/website/extras/contributing-overview.md new file mode 100644 index 00000000..febcd295 --- /dev/null +++ b/docs/website/extras/contributing-overview.md @@ -0,0 +1,21 @@ +--- +id: overview +title: Contributing Overview +description: How to contribute to OpenDBM +--- + + + +Thank you for your interest in contributing to OpenDBM! From commenting on and triaging issues, to reviewing and sending Pull Requests, all contributions are welcome. +We aim to build a vibrant and inclusive [ecosystem of partners, core contributors, and community](https://github.com/AiCure/open_dbm/blob/main/ECOSYSTEM.md) that goes beyond the main OpenDBM GitHub repository. + +The [Open Source Guides](https://opensource.guide/) website has a collection of resources for individuals, communities, and companies who want to learn how to run and contribute to an open source project. + +Contributors and people new to open source alike will find the following guides especially useful: + +- [How to Contribute to Open Source](https://opensource.guide/how-to-contribute/) +- [Building Welcoming Communities](https://opensource.guide/building-community/) + +We want to ensure that OpenDBM feels like a community of like-minded researchers and clinicians. Hence, there are a few ways we encourage users to stay involved––and why we [encourage you to join DiME, too!](https://www.dimesociety.org/) + +Most importantly, if you’re interested in OpenDBM, star the repo and [sign up for our listserv](https://docs.google.com/forms/d/e/1FAIpQLScLrgyM08YIumzJw8dxmRaMQ4byBL3J4A90FpokDhX8-KUNZw/viewform) for all updates. diff --git a/docs/website/extras/extras.md b/docs/website/extras/extras.md new file mode 100644 index 00000000..caa1f5bf --- /dev/null +++ b/docs/website/extras/extras.md @@ -0,0 +1,16 @@ +--- +id: extras +title: Resources +--- + +:::info +Welcome to the Resources section! If you're getting started with OpenDBM, please refer to Guides section. Continue reading to learn about OpenDBM surrounding components! In this section, we’ve put together some resources that don’t quite fit in any of the other chapters of this documentation but are helpful things to know regardless. +::: + +This section is intended to share the surrounding components inside OpenDBM repository. The intended components includes CI/CD pipeline, REST API for demo purpose and how this documentation built. It is not a requirement to be familiar with this material to be effective with OpenDBM. You can still benefit from this section as it will give you insights into how we manage things to give added values to this repository. Feel free to share your feedback on the [discussion group](https://github.com/AiCure/open_dbm/discussions/categories/general) for this section. + +## Table of Contents + +- [CI CD Pipeline](ci-cd-pipeline) +- [REST API](odbm-rest-api) +- [OpenDBM Documentation](odbm-doc) diff --git a/docs/website/extras/how-to-contribute-code.md b/docs/website/extras/how-to-contribute-code.md new file mode 100644 index 00000000..f1d82376 --- /dev/null +++ b/docs/website/extras/how-to-contribute-code.md @@ -0,0 +1,5 @@ +--- +title: Contribute Guidelines +--- + +With OpenDBM v2.0, we’ve also written out a simple version of [contribution guidelines,](https://github.com/AiCure/open_dbm/blob/master/CONTRIBUTING.md) available with the code base. We want to make these more detailed in the future. As we work with the first independent contributors to OpenDBM, we will be coming out with a much more robust packet of instructions for contributors. If you find the current guidelines confusing or have trouble contributing to OpenDBM, please definitely [reach out to us](mailto:opendbm@aicure.com) and we’re happy to assist. diff --git a/docs/website/extras/issue-reporting.md b/docs/website/extras/issue-reporting.md new file mode 100644 index 00000000..4451a065 --- /dev/null +++ b/docs/website/extras/issue-reporting.md @@ -0,0 +1,6 @@ +--- +id: issue-reporting +title: Issue Reporting +--- + +For any technical issues with using the code i.e. during installation and during use, we ask that you––instead of emailing us––bring up the issue using the Issues feature on Github i.e. in the [Issues](https://github.com/AiCure/open_dbm/issues) tab on the OpenDBM github, We have written out an [Issue template](https://github.com/AiCure/open_dbm/blob/master/.github/ISSUE_TEMPLATE/bug_report.md) that will automatically populate when you create a new issue; we suggest you follow that template. diff --git a/docs/website/extras/license-contact.md b/docs/website/extras/license-contact.md new file mode 100644 index 00000000..53de498d --- /dev/null +++ b/docs/website/extras/license-contact.md @@ -0,0 +1,12 @@ +--- +id: license-contact +title: License and Contact +--- + +## License + +OpenDBM is published under the [AGPL v3.0 License.](https://github.com/AiCure/open_dbm/blob/master/license.txt) + +## Contact + +For technical issues, we ask that you use the [Issues](https://github.com/AiCure/open_dbm/issues) tab to contact us. For any general discussions, we ask that you please use the [Discussions](https://github.com/AiCure/open_dbm/discussions) tab. If you’d like to contact us privately and directly, you can email us at [opendbm@aicure.com.](mailto:opendbm@aicure.comopendbm@aicure.com) diff --git a/docs/website/extras/odbm-doc.md b/docs/website/extras/odbm-doc.md new file mode 100644 index 00000000..af92fc87 --- /dev/null +++ b/docs/website/extras/odbm-doc.md @@ -0,0 +1,123 @@ +--- +id: odbm-doc +title: OpenDBM Documentation +--- + +## Summary + +As book is the gate to knowledge, OpenDBM documentation is the gate to all the great features provided in this library! The OpenDBM team primary focus is how to make this library easily accessible, installable and usable in a very simple and straightforward as much as possible, and good documentation is the key to our objectives. + +## Github documentation +
    + OpenDBM Github documentation +
    OpenDBM Github documentation
    +
    +We want our github documentation as concise as possible. In here you can find the important information such as: +* The latest OpenDBM version in PyPI +* Unit test results which are coming from OpenDBM Code Checking Github Actions pipeline +* The code coverage that also produced by above process + +Along with those informations, you can also see the OS build and test status on our documentation which produced from OpenDBM Build Checking Github Actions pipeline. This way you can check whether the last version of OpenDBM library can support which platforms + +### Basic usage and other informations +We also provide a section how to install and use OpenDBM library inside our github page. But of course more detailed explanation are provided in OpenDBM Web documentation which you're probably looking right now + +### TOC Table of content +We are using [DocToc](https://github.com/thlorenz/doctoc) in order to generate our table of contents. So dont change the table of content at all. If you want to add anything, just add it like a normal way, and you can use `## My Section` if you feel need to add new section for your information. After that, just generate ```doctoc .``` in the root folder and DocToc will generate the ToC immediately and include your new information seamlessly. +
    + OpenDBM Github Table of Content Generator +
    OpenDBM Github Table of Content Generator
    +
    + +## Web Documentation + +By good probability when you read this section, you're currently looking at our web documentation. (Unless you read this from our github blob files which is still normal, no worries!) +> We are using [Docusaurus](https://docusaurus.io/) to generate this documentation as our primary objective is focus on the content and how to deliver the most straightfoward information to the community. So all the neccessary code to build this web documentation are coming from Docusaurus. + +## Documentation sections +### Dashboard +When you first arrived to the OpenDBM Web documentation, you will see the concise description about what is OpenDBM and Why to use it. We also provide talks and videos that provide informations about this library. We also put the acknowledgements to those libraries that make everything is possible in this OpenDBM library + +### Getting Started +This section provide informations on everything you need to know to install and use the OpenDBM. It explains about the prerequisites before you install the OpenDBM. It makes sure to leave no one behind as we provide the informations to all OS platforms. +
    + OpenDBM Documentation to all platforms +
    OpenDBM Documentation to all platforms
    +
    + +### Variables +This section provide deeper informations about OpenDBM. There are a lot of variables you can fetch from OpenDBM, and this section provide you how to use those variables and what is the limitation on each modules. We also make sure to make annotation or reference to acknowledge other people contributions to make all this possible + +### API +One of all thing about the OpenDBM generation 2 is how easy it is to use OpenDBM. We put another layer on top of the previous OpenDBM library to make it easier to use OpenDBM. All those APIs informations are provided within this section. This section is automatically generated by [pydoc](https://docs.python.org/3/library/pydoc.html) command line that executed in `.github/workflows/open_dbm-docs-deploy.yml` + +
    + OpenDBM Pydoc Generated Document +
    OpenDBM Pydoc Generated Document
    +
    + +### Resources +This section provide all informations surrounding the OpenDBM environment. It gives you information about the pipeline, REST API, Documentation (Hi, there!) and contributing guideines. + +### Blog +Within this section, you can read other people perspectives, stories and bunch of interesting stuff about OpenDBM all around the world! + +## OpenDBM Web Technical Documentation +Below section will discuss in more detail about the technical aspect of OpenDBM Web documentation structure. + +### How to install and run locally +Your node must be set to stable version (as of now version 16) to be able to install and run this documentation +Under the docs directory: +* ```bash yarn``` to install all the dependencies +* Then go to the the `website` directory and run the app by typing: + * Command below is for start the website for the **first time**. + + ```bash + cd website + pip install pydoc-markdown + pydoc-markdown -I ../opendbm/api_lib/facial_activity -m api --render-toc > website/api/facial-activity-api.md + pydoc-markdown -I ../opendbm/api_lib/movement -m api --render-toc > website/api/movement-api.md + pydoc-markdown -I ../opendbm/api_lib/verbal_acoustics -m api --render-toc > website/api/verbal-acoustics-api.md + pydoc-markdown -I ../opendbm/api_lib/speech -m api --render-toc > website/api/speech-api.md + yarn start + ``` + + * This command is the one you execute if you have already generated dynamic documentation from pydoc-markdown + ```bash + cd website && yarn start + ``` + +### Dashboard +The dashboard page is build on top of React framework. You need only a basic React knowledge in order to change stuff in the dashboard. + +### Main config file +The main config file of OpenDBM documentation is docusaurus.config.js. You can change things like: +* You can set the footer content +* You can set the `editUrl`. This parameter to define the url when you or other community members want to change this file +
    + OpenDBM Edit this page button +
    OpenDBM Edit this page button
    +
    + +* You can set the url, baseUrl +* in `presets[0][0]` you can set the sidebar file to show in the `getting-started` section. We can also set the limit number of versions that will be displayed in the documentation in this line `['current', ...versions.slice(0, 2)]` We will discuss about versioning deeper below +> Support too many versions will make the web deployment much slower. +* Still in the same above parameter, we can also sync the google analytic tag in `googleAnalytics.trackingID` parameter. +* in `plugins` we also can set the siderbar file to be shown in other section as well + +### Versioned pages +This documentation support versioning on the library as it very important that we could provide information and retain it so community can refer to specific version for their usecase. The versions are listed under `docs/website/versions.json`. The latest version must be the first element in that array. + +That versions will be referred and used in these two directories `versioned_docs` and `versioned_sidebars`. So you can edit the documentation in specific version within these directories. + +Those files and sidebars file also has duplicated contents in `sidebars.json` and files under directories `docs/docs`. These files are meant for future version. So if the community using **Edit This Page** button in the pages, it will create the MR for changes related to this directory. So you can say its a temporary directory for future changes on the documentations. Later, when you create future `version-x.x` version, you can just copy paste all the files under `docs/docs` to the new version directory. + +### Non Versioned pages +Right now, the non versioned pages are API, Resources, Blog. It has its own directories under docs/website. If you need new section, you can create the directory and define it in `docusaurus.config.js`. + +### Navigation (Sidebar and page ID) +In the `version-xx-sidebars.json`, you can define the sidebar and the IDs of pages that you want to categorize. You can set the id inside the page i.e. +``` +id: action-units +title: Actions Units +``` diff --git a/docs/website/extras/odbm-rest-api.md b/docs/website/extras/odbm-rest-api.md new file mode 100644 index 00000000..3f6a7b4a --- /dev/null +++ b/docs/website/extras/odbm-rest-api.md @@ -0,0 +1,206 @@ +--- +id: odbm-rest-api +title: OpenDBM REST API +--- + +import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import constants from '@site/core/TabsConstants'; + +## Summary + +Inside the OpenDBM repository, there is a folder named rest_api. This folder means to showcase that you can leverage OpenDBM library in API service or Web application, which this folder will showcase the former. + +> The OpenDBM API designed with OpenAPI 2.0 to standardize API definition for programmatic usage, better developer experience and documentation. It will also protected by standard security protocol. + +
    + OpenDBM REST API Summary +
    ODBM REST API Summary
    +
    + +## How to use + +To use the Rest API is very straighforward + +* Go to the `rest_api` directory +* Install the neccessary dependencies +```commandline +pip install -r requirements.txt +docker pull opendbmteam/dbm-openface +``` +* Then you can use Make syntax to run it +```commandline +make dev +``` +Wait until the rest api ready to serve requests +```bash +INFO: Will watch for changes in these directories: ['/Users/smarty_not_dummy__user/open_dbm/rest_api/app'] +INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) +INFO: Started reloader process [80258] using StatReload +INFO: Started server process [80275] +``` +* You can test using the OpenAPI specs like mentioned in [here](ci-cd-pipeline#unit-tests). You can open `http://127.0.0.1:8000/docs` or `http://127.0.0.1:8000/redoc`. +* Before you start using the APIs, you need to create your credentials for authentication. Alternatively, you can try to use username 'aicure' and the password is 'opendbm'. + +> You can skip below steps if you want to use 'aicure' credential + +* To create your own username, first you generate your own password by following these steps: +```bash +cd rest_api/app +python +Python 3.7.13 (default, Mar 28 2022, 07:24:34) +[Clang 12.0.0 ] :: Anaconda, Inc. on darwin +Type "help", "copyright", "credits" or "license" for more information. +``` +Then you can start type your own password using this python command +```python +from services.auth.auth import get_password_hash +print(get_password_hash('test')) +$2b$12$qYnAxjQd..feDyPBYa/mDuRrH.PkcpNHJk3F.l/c0h3l/1NcZup7O +``` +Save the password in the last line and your preferred username in app/services/auth/auth.py +```python +def get_db(): + fake_users_db = { + "your_new_username": { + "username": "your_new_username", + "full_name": "New Full name", + "email": "new email", + "hashed_password": "$2b$12$qYnAxjQd..feDyPBYa/mDuRrH.PkcpNHJk3F.l/c0h3l/1NcZup7O ", + "disabled": False, + }, + "aicure": { + "username": "aicure", + "full_name": "AiCure OpenDBM", + "email": "opendbm@aicure.com", + "hashed_password": "$2b$12$k4R5SPuHkjFKBsQV5gAHl.e/BlxrX2z1H3vxiB9uGtaDZLFXjggCm", + "disabled": False, + }, + "alice": { + "username": "alice", + "full_name": "Alice Wonderson", + "email": "alice@aicure.com", + "hashed_password": "fakehashedsecret2", + "disabled": True, + }, + } + return fake_users_db +``` +* After that you can login using either of these icons, or using the curl alternative + + + +
    + OpenDBM Auth +
    ODBM Auth
    +
    +     + + +```bash +curl 'http://127.0.0.1:8000/odbm/v1/login' \ + -H 'Accept: application/json, text/plain, */*' \ + -H 'Authorization: Basic Og==' \ + -H 'Content-Type: application/x-www-form-urlencoded' \ + --data-raw 'grant_type=password&username=aicure&password=opendbm' \ +``` + + +     + +* Start with uploading the files, put the "local" string value in the `platform` parameter, then save the upload file name. + + + +
    + OpenDBM File Uploading +
    ODBM File Uploading
    +
    +     + + +```bash +curl 'http://127.0.0.1:8000/odbm/v1/upload?file_name=facial_speech_verbal_video_test.mp4&file_extension=mp4&platform=local' \ + -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhaWN1cmUiLCJleHAiOjE2NjI5MDM4MjB9.oYW3z44NdcBLZswxy4Vt1S2r92wYmus59NWnZYDr2CA' \ + -H 'Content-Type: multipart/form-data; ' \ + -H 'accept: application/json' \ + --data-raw $'Content-Disposition: form-data; name="file"; filename="facial_speech_verbal_video_test.mp4" Content-Type: video/mp4 \ + --compressed + ``` + + +     + +The API response will be +```json +{ + "info": "file 'facial_speech_verbal_video_test.mp4' saved at 'files/facial_speech_verbal_video_test.mp4'" +} +``` +Save the file location returned somewhere `files/facial_speech_verbal_video_test.mp4` + +* Then you can use any API you want, insert the previous upload file url into `file_url` parameter. Then you can specify variables you want to get. For example, if you use the `/video/acoustic` API, you can specify the request body like +```json +[ + "audio_intensity", + "pitch_frequency" +] +``` + + + +
    + OpenDBM Test Acoustic API +
    ODBM Test Acoustic API
    +
    +     + + +```bash +curl 'http://127.0.0.1:8000/odbm/v1/video/acoustic?file_url=files%2Ffacial_speech_verbal_video_test.mp4&platform=local' \ + -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhaWN1cmUiLCJleHAiOjE2NjI5MDkwMzd9.RQgtXhPCcgzctfuNg2GbByR9OMdr1vWTerl1iKPWqfk' \ + -H 'Content-Type: application/json' \ + -H 'accept: application/json' \ + --data-raw $'[\n "audio_intensity",\n "pitch_frequency"\n]' \ + --compressed +``` + + +     + + +After you execute the API, you will get the zip file, with the csv results compressed inside that file +> You can check more details on rest_api usage in `rest_api/README.md` + +## Technology Stack +
    + OpenDBM REST API Technology Stack +
    ODBM REST API Technology Stack
    +
    + +The OpenDBM API will use FastAPI framework. The main reason is because the asynchronous behaviour of FastAPI will works perfectly to complex and high performance methods like data upload, data pre / processing and other possible long operations. + +We also use Uvicorn is an ASGI web server implementation for Python. Until recently Python has lacked a minimal low-level server/application interface for async frameworks. The ASGI specification fills this gap, and means we're now able to start building a common set of tooling usable across all async frameworks. Uvicorn currently supports HTTP/1.1 and WebSockets. + +## API Documentations +The Rest API documentations can be found when you run the the app. Change the relative path to /docs or /redoc +
    + OpenDBM REST API Swagger API Docs +
    ODBM REST API Swagger API Docs
    + + OpenDBM REST API Redocs +
    ODBM REST API Redocs
    +
    \ No newline at end of file diff --git a/docs/website/extras/opendbm-listserv-signup.md b/docs/website/extras/opendbm-listserv-signup.md new file mode 100644 index 00000000..5683b5db --- /dev/null +++ b/docs/website/extras/opendbm-listserv-signup.md @@ -0,0 +1,8 @@ +--- +id: opendbm-listserv-signup +title: OpenDBM Listserv signup +--- + +[Use this link to sign up for the OpenDBM Listserv and stay up to date on release and events.](https://docs.google.com/forms/d/e/1FAIpQLScLrgyM08YIumzJw8dxmRaMQ4byBL3J4A90FpokDhX8-KUNZw/viewform) + +From time to time, we will be making either small updates to OpenDBM functionalities (additional variables, bug fixes, etc.) or large version releases with major additions to features (e.g., we want a future update to OpenDBM to include analysis of wearable data). We will also be hosting virtual (and hopefully one day in-person) events for the OpenDBM user community that allow for training, introduction to new functionalities, presentations on prominent projects, etc. In either of these cases, we’d like to keep the user community up to date so that they don’t miss out on these updates or events, so we do encourage you to [sign up for the listserv.](https://docs.google.com/forms/d/e/1FAIpQLScLrgyM08YIumzJw8dxmRaMQ4byBL3J4A90FpokDhX8-KUNZw/viewform) diff --git a/docs/website/extras/opendbm-python-api-add-new-variable.md b/docs/website/extras/opendbm-python-api-add-new-variable.md new file mode 100644 index 00000000..c0f88e96 --- /dev/null +++ b/docs/website/extras/opendbm-python-api-add-new-variable.md @@ -0,0 +1,164 @@ +--- +id: opendbm-python-api-add-new-variable +title: OpenDBM API - Add New Variable +--- + +#### Prerequisites read +* [OpenDBM Python API](opendbm-python-api) +* [OpenDBM API - Unit Test](opendbm-python-api-unittest) + +
    + OpenDBM Folder +
    Simple Architecure Diagram on How to Add New Module
    +
    + +## Scenario +We want to add a pose detector in OpenDBM API. The model file that we will use to do the pose detector is 2 GB in size. Here is the steps on how to do it + +### 1. Consider the category of pose detector + +We have existing dbm group folders that consist of Facial, Movement, Speech, and Verbal Acoustics. +Compared to other categories, it will make sense if the pose detector is added to the Movement group. So with that in mind, +we will create the core module in the movement folder, to be precise, in **“dbm_lib/dbm_features/raw_features/movement”**. + +For the module name, there is no convention on how to create the module name. The only important thing is it needs to be explicit. +In this case, we will name our module **pose_detection.py** + +### 2. Create the core module +In general, this module is where we use the model to generate the final output as a pandas dataframe object. + +Specifically, The final function of the pose_detection module needs to have two capabilities: +1. Keyword argument for saving the output. +This is essential because you need the module to be used with the Docker command approach. To develop this, +please use the save_output function from the util library so you don’t have to create the same function. +2. Should return the final output as pandas dataframe. + + +In code, the end of the final function should look like this. + +
    + OpenDBM Folder +
    End Code of eye_blink Module in Movement dbm group
    +
    + +### 3. Store the Model File + +Now store your model file in the pkg/local folder, depending on the file size (see pkg folder explanation here). You +also need to create a function where openDBM API can download the model file if the user doesn’t have it yet. +The function must be made in the **util.py** module in the api_lib folder. + +### 4. Add pose_detection to Python API + +Below are the steps to add your newly created pose_detection module to Python API that lives inside api_lib folder. + +#### a. Create the private module. +Based on our scenario, we should create “_pose_detection.py” in the movement folder inside api_lib + +#### b. Create a class inside the private module +If we look at all the private modules, the code has the same pattern as others. So all we need to do is to modify it a little bit. + +Below is the code inside “_eye_blink.py” inside the movement folder. + +
    + _eye_blink.py +
    _eye_blink.py
    +
    + +As a starter, we copy-paste all codes from “_eye_blink.py” to “_pose_detection.py”. Then in; +* Line 1: change DLIB_SHAPE_MODEL to POSE_DETECTION_MODEL. This object is a path to where the Pose detector model lives. +* Line 2: change the import module from eye_blink to pose_detection, and also change run_eye_blink to your final function name (ex: run_pose_detection) +* Line 5: Change the class name from EyeBlink to PoseDetection +* Line 8: create a list that contains the name of the numerical field of your processed dataframe. +* Line 11: change the _fit_transform method to return the result of your function, in this case, run_pose_detection(args1,args2, …) + +The final codes in **_pose_detection.py** should be look like this, for example; +```python +from opendbm.api_lib.model import POSE_DETECTION_MODEL, VideoModel +from opendbm.dbm_lib.dbm_features.raw_features.movement.pose_detection import run_pose_detection + + +class PoseDetection(VideoModel): + def __init__(self): + super().__init__() + self._params = ["mov_pose_head", "mov_pose_body", "mov_pose_hand", "mov_pose_foot"] + + def _fit_transform(self, path): + return run_pose_detection(path, ".", self.r_config, POSE_DETECTION_MODEL, save=False) +``` + +#### c. Export the newly created module to api.py + +Now we go and take a look at codes in module api.py. After that, all we have to do is add pose_detection with the following steps: + +#### Import the private pose module + +Following the pattern, we just need to add **from ._pose_detection import PoseDetection** +```python +from ._eye_blink import EyeBlink +from ._eye_gaze import EyeGaze +from ._facial_tremor import FacialTremor +from ._head_movement import HeadMovement +from ._vocal_tremor import VocalTremor +from ._pose_detection import PoseDetection # <-- new code added for pose_detection +``` + +#### Initiate the model class +Following the pattern, create a new variable in a new line **self._pose_detection = PoseDetection()** + +```python +class Movement(VideoModel): + def __init__(self): + super().__init__() + self._eye_blink = EyeBlink() + self._eye_gaze = EyeGaze() + self._facial_tremor = FacialTremor() + self._head_movement = HeadMovement() + self._vocal_tremor = VocalTremor() + self._pose_detection = PoseDetection() # <-- new code added for pose_detection +``` +#### Add the new pose variable to models dictionary. + + +```python +self._models = OrderedDict( + { + "eye_blink": self._eye_blink, + "eye_gaze": self._eye_gaze, + "facial_tremor": self._facial_tremor, + "head_movement": self._head_movement, + "vocal_tremor": self._vocal_tremor, + "pose_detection": self._pose_detection # <-- new code added for pose detection + } + ) +``` +#### Create a new method to get the result of pose_detection. +By following the function pattern in the code below, our function name will be **get_pose_detection**, which will return **self._pose_detection** + +```python + def get_vocal_tremor(self): + """ + Get the model object of Vocal Tremor + Returns: + self: object + Model Object + """ + return self._vocal_tremor + +### Below is the new code to get the result of pose_detection + def get_pose_detection(self): + """ + Get the model object of Pose Detection + Returns: + self: object + Model Object + """ + return self.pose_detection +``` + +That is how to add a new component to OpenDBM API. The only leftover is, + +### 5. Add pose_detection to unit test (pytest). + +Considering you have already read the Unit test design, you need to create a function to test your newly created API. + +In our case, in “test_api_movement.py,” we will create a test function named “test_get_pose_detection,” and you should configure your unit testing there. \ No newline at end of file diff --git a/docs/website/extras/opendbm-python-api-unittest.md b/docs/website/extras/opendbm-python-api-unittest.md new file mode 100644 index 00000000..e46a23d6 --- /dev/null +++ b/docs/website/extras/opendbm-python-api-unittest.md @@ -0,0 +1,34 @@ +--- +id: opendbm-python-api-unittest +title: OpenDBM API - Unit Test +--- + +#### Prerequisites read +* [OpenDBM Python API](opendbm-python-api) + +The framework we use to do unit testing is pytest. We use pytest because we want our test design to be very similar to our API design and make the unit test easier to understand. Below is the general architecture of the tests folder. + + +
    + Unit Tests Folder +
    Unit Tests Folder
    +
    + + +The picture above contains the test folder containing the test_data folder that will store many test files. +All the files here will be used as test data during our unit testing. + +Next to the test_data folder is conftest.py, the pytest configuration that will be applied to all the test scripts. This file's purpose is to initiate all the API, so we don't have to import it into our test script. + + +Lastly, we have dbm group folders (facial, movement, speech, verbal acoustics). +Each of these folders consistently has the same structure, which consists of the following: + +### 1. Test Script +All test scripts file that has the prefix “test_” is where we create all our unit tests, respective to the folder. +(ex: test script inside the facial folder should only have unit test related to the facial API) + +### 2. Configuration Test +This file named conftest.py in each folder will configure how many test data files you want to add to the test script. +If you're going to add another test data, you should create a new function inside this file to feed it into the test script. + diff --git a/docs/website/extras/opendbm-python-api.md b/docs/website/extras/opendbm-python-api.md new file mode 100644 index 00000000..49e97703 --- /dev/null +++ b/docs/website/extras/opendbm-python-api.md @@ -0,0 +1,101 @@ +--- +id: opendbm-python-api +title: OpenDBM Python API +--- + + + +When we use OpenDBM python API, all the source codes come from the opendbm folder in our GitHub repo. opendbm folder is the main +package we use to process input data. opendbm has four folders that consist of api_lib, dbm_lib, pkg, and resources. + +To make it clear in the beginning, you will know that our structure in our repo reflects what is already documented in Variables Section. + +
    + OpenDBM Folder +
    OpenDBM Folder
    +
    + + +### 1. dbm_lib +
    + dbm_lib Folder +
    dbm_lib folder @ dbm_lib/dbm_features/raw_features
    +
    + + +When we mention dbm_lib for python API documentation, we refer to the folder “dbm_lib/dbm_features/raw_features.” +dbm_lib is where all core modules are implemented. All the processing components must be stored here because this +folder is where we can use the components either with the Docker command or Python API + + +Each children's folder (audio, movement, nlp, and video) represents the dbm group. In every children folder, +there will be modules where we perform the processing/inferring of our input data. +For example, below are the modules that live inside the movement folder. + + +
    + movement Folder in dbm_lib +
    movement Folder in dbm_lib
    +
    + +The goal of each module here is to perform one task/processing. For instance, facial_tremor.py +will have a functionality to detect the facial tremor of the input data. If we want to add another functionality +in openDBM, for example, motion detection, we should create a new module in this folder (assumed motion detection +is part of movement dbm_group). + +The design we explained for the movement package also applied to other dbm groups such as video, nlp, and audio. + +Lastly, in the same level of the dbm group folder, there is the util folder, which contains all utility functions used +by all modules that need it. If we want to create/modify the modules in dbm_lib, please check all the utility +functions first so we don't need to reinvent the wheel. + + +### 2. api_lib +
    + api_lib Folder +
    api_lib Folder
    +
    + +api_lib is a supporting package created so that we can use openDBM core modules with the python API call. +Looking in the api_lib folder, we can see four folders (facial_activity, movement, speech, verbal_acoustics), +which represent the dbm group, the same as we saw in the dmb_lib folder. In the same level of the dbm group folder, +there are also two modules that have functionality as follows: + +#### a. model.py + +This module has the functionality to create the base model object that can be used after we execute the fit method +in our Python API. This module also has a class to perform a processing/fit method in a dbm_group level. + +#### b. util.py + +This module is where all the utility functions are stored, related to the api_lib folder. + + +
    + movement Folder in api_lib +
    movement Folder in api_lib
    +
    + + +All the dbm group folders inside api\_lib consistently have the same design as other folders. +If we look in the movement folder, we can see all the private modules (with the prefix “\_”) that have +the same name/structure as the one in the dbm_lib folder. + +All these private modules will execute the same as their respective modules in the dbm_lib folder. For example, module “_vocal_tremor.py” will execute processing “vocal_tremor.py”. The difference is that in these private modules, we assign the function to the class that will be used for our python API. + +The “api.py” module is a module where we implement the python API call tailored to each of the dbm_group. + + + + +### 3. pkg + + +is where the model files are stored. In most of our processing/inferring, we get the weight from this pkg folder. + +Note for the developer; if you want to make the user download a new model file, you can direct the download path to the pkg folder. But if the model file is big (ex: 2GB), please consider directing the download path to their local path. The reason is users might try to use OpenDBM in many virtual environments. Their memory storage will be exhausted if we store large model files in the pkg folder in many virtual environments. + + +### 4. resources + +This folder is created initially as a configuration to rename, clean, and structure OpenFace output. To make it consistent, if we need to add other configurations for processing a new model, please create it in this folder. \ No newline at end of file diff --git a/docs/website/extras/publications-and-referencing.md b/docs/website/extras/publications-and-referencing.md new file mode 100644 index 00000000..8cd7b50c --- /dev/null +++ b/docs/website/extras/publications-and-referencing.md @@ -0,0 +1,8 @@ +--- +id: publications-and-referencing +title: Publications and Referencing +--- + +As the user community grows, we hope and are anticipating scientific publications whose methods depend partially or entirely on methods compiled into OpenDBM. For the authors of those publications, we request that they reference OpenDBM in their work. We are (as of December of 2020) preparing a manuscript that can be referenced. Meanwhile, we ask that authors at the very least reference the Github repository when mentioning OpenDBM. + +Additionally, we are hoping to maintain an up to date list of publications that have used methods from OpenDBM when reporting their findings. This live list of publications is linked to from many different places around the Github repository and this documentation, but [here is another link to it](https://docs.google.com/spreadsheets/u/2/d/1pRBWCCFMbEgZNQzm2Litm3RUQ6glwUwswrqGDePMvh0/edit#gid=0). If you are a user of OpenDBM and have used its methods in work that has either been presented at a conference or submitted to a journal, we ask that you please submit a citation of the work to us [using this form](https://forms.gle/Hb6bDL1GJvG1ByUX7) so that we may append the list of publications with your work. diff --git a/docs/website/image-check.js b/docs/website/image-check.js new file mode 100644 index 00000000..ac34853e --- /dev/null +++ b/docs/website/image-check.js @@ -0,0 +1,58 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +const glob = require('glob-promise'); +const fs = require('fs-extra'); +const path = require('path'); +const siteConfig = require('./docusaurus.config.js'); + +const imageReferenceRegExp = new RegExp(/!\[.*?\]\((.*)\)/g); + +let missingAssets = []; +let queue = Promise.resolve(); +glob('./docs/**/*.md') + .then(files => { + files.forEach(file => { + queue = queue + .then(() => { + return fs.readFile(file); + }) + .then(contents => { + let matches; + while ((matches = imageReferenceRegExp.exec(contents))) { + const pathToFile = path.join( + './', + matches[1].replace(siteConfig.baseUrl, '') + ); + missingAssets.push({imagePath: pathToFile, markdownPath: file}); + } + }); + }); + return queue; + }) + .then(() => { + queue = Promise.resolve(); + missingAssets.forEach(missingAsset => { + const {imagePath, markdownPath} = missingAsset; + queue = queue + .then(() => { + return fs.stat('./static/' + imagePath); + }) + .then(stats => {}) + .catch(e => { + console.error( + 'Could not find ' + + 'static/' + + imagePath + + ' which has at least one reference in ' + + markdownPath + + ". Did you forget to add the asset to '/static/docs/assets'?" + ); + }); + }); + return queue; + }); diff --git a/docs/website/package.json b/docs/website/package.json new file mode 100644 index 00000000..6ac59ffc --- /dev/null +++ b/docs/website/package.json @@ -0,0 +1,63 @@ +{ + "name": "opendbm-website", + "description": "OpenDBM website", + "version": "0.0.1", + "private": true, + "license": "CC-BY-4.0", + "homepage": "https://teebid.github.io/aicure_opendbm/", + "repository": "github:teebid/aicure_opendbm", + "bugs": { + "url": "https://github.com/AiCure/open_dbm/issues" + }, + "scripts": { + "start": "docusaurus start", + "build": "docusaurus build", + "swizzle": "docusaurus swizzle", + "deploy": "docusaurus deploy", + "serve": "docusaurus serve", + "clean": "docusaurus clean", + "test": "yarn build", + "version:cut": "docusaurus docs:version", + "format:source": "prettier --write {{core,src}/**/*.js,*.js}", + "format:markdown": "prettier --write ../docs/*.md && prettier --write {{versioned_docs,src}/**/*.md,blog/*.md}", + "format:style": "prettier --write src/**/*.{scss,css}", + "prettier": "yarn format:source && yarn format:markdown && yarn format:style", + "lint": "eslint ../docs/** blog/** core/** src/**/*.{js,md} ./*.js", + "lint:versioned": "eslint versioned_docs/**", + "language:lint": "cd ../ && alex && case-police 'docs/*.md' -p brands,general,products,softwares", + "language:lint:versioned": "cd ../ && alex . && case-police '**/*.md' -p brands,general,products,softwares", + "ci:lint": "yarn lint && yarn lint:versioned && yarn language:lint:versioned", + "pwa:generate": "npx pwa-asset-generator ./static/img/header_logo.png ./static/img/pwa --padding '40px' --background 'rgb(32, 35, 42)' --icon-only --opaque true" + }, + "browserslist": { + "production": [ + ">0.5%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 1 chrome version", + "last 1 firefox version", + "last 1 safari version" + ] + }, + "dependencies": { + "@docusaurus/core": "^2.0.0-beta.21", + "@docusaurus/plugin-pwa": "^2.0.0-beta.21", + "@docusaurus/preset-classic": "^2.0.0-beta.21", + "docusaurus-plugin-sass": "^0.2.2", + "esbuild-loader": "^2.18.0", + "react": "^17.0.2", + "react-dom": "^17.0.2", + "react-github-btn": "^1.2.2", + "sass": "^1.49.11" + }, + "devDependencies": { + "@docusaurus/types": "^2.0.0-beta.21", + "alex": "^9.1.1", + "fs-extra": "^10.0.1", + "glob": "^7.2.0", + "glob-promise": "^4.2.2", + "path": "^0.12.7" + } +} diff --git a/docs/website/showcase.json b/docs/website/showcase.json new file mode 100644 index 00000000..31fc53f6 --- /dev/null +++ b/docs/website/showcase.json @@ -0,0 +1,29 @@ +[ + { + "name": "OpenFace", + "icon": "openface.png", + "linkAppStore": "https://cmusatyalab.github.io/openface/", + "linkPlayStore": "https://cmusatyalab.github.io/openface/", + "infoLink": "https://cmusatyalab.github.io/openface/", + "infoTitle": "Free and open source face recognition with deep neural networks.", + "pinned": true + }, + { + "name": "Parselmouth", + "icon": "parselmouth.png", + "linkAppStore": "https://parselmouth.readthedocs.io/en/stable/", + "linkPlayStore": "https://parselmouth.readthedocs.io/en/stable/", + "infoLink": "https://parselmouth.readthedocs.io/en/stable/", + "infoTitle": "Parselmouth is a Python library for the Praat software.", + "pinned": true + }, + { + "name": "DeepSpeech", + "icon": "deepspech.png", + "linkAppStore": "https://deepspeech.readthedocs.io/en/r0.9/", + "linkPlayStore": "https://deepspeech.readthedocs.io/en/r0.9/", + "infoLink": "https://deepspeech.readthedocs.io/en/r0.9/", + "infoTitle": "DeepSpeech is an open source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu’s Deep Speech research paper", + "pinned": true + } +] diff --git a/docs/website/sidebars.json b/docs/website/sidebars.json new file mode 100644 index 00000000..cda51373 --- /dev/null +++ b/docs/website/sidebars.json @@ -0,0 +1,117 @@ +{ + "docs": [ + { + "type": "category", + "label": "The Basics", + "collapsed": false, + "collapsible": true, + "items": [ + "getting-started", + "dependencies-installation", + "beginner-installation", + "pro-installation", + "more-resources" + ] + }, + { + "type": "category", + "label": "Using Docker OpenDBM", + "collapsed": false, + "collapsible": true, + "items": ["opendbm-docker-usage", "windows-usage"] + }, + { + "type": "category", + "label": "OpenDBM Output", + "collapsed": false, + "collapsible": true, + "items": ["opendbm-docker-output", "raw-variables"] + } + ], + "variable": [ + { + "type": "category", + "label": "Biomaker Variables", + "collapsed": false, + "collapsible": true, + "items": [ + "biomaker-variables", + { + "type": "category", + "label": "Facial Activity", + "collapsed": false, + "collapsible": true, + "items": [ + "facial-activity", + "facial-landmark", + "action-units", + "emotional-expressivity", + "overall-expressivity", + "facial-asymmetry", + "pain-expressivity" + ] + }, + { + "type": "category", + "label": "Verbal Acoustic", + "collapsed": false, + "collapsible": true, + "items": [ + "verbal-acoustic", + "fundamental-frequency", + "formant-frequencies", + "audio-intensity", + "harmonics-to-noise-ratio", + "glottal-to-noise-excitation-ratio", + "jitter", + "shimmer", + "pause-characteristics", + "voice-prevalence" + ] + }, + { + "type": "category", + "label": "Speech", + "collapsed": false, + "collapsible": true, + "items": [ + "speech", + "parts-of-speech", + "sentiment-of-speech", + "lexical-richness", + "rate-of-speech" + ] + }, + { + "type": "category", + "label": "Movement", + "collapsed": false, + "collapsible": true, + "items": [ + "head-movement", + "eye-blink-behavior", + "eye-gaze-directionality", + "facial-tremor", + "vocal-tremor" + ] + } + ] + } + ], + "guidelines": [ + { + "type": "category", + "label": "Data Guidelines", + "collapsed": false, + "collapsible": true, + "items": [ + "data-guidelines", + "supported-file-types", + "video-guidelines", + "audio-guidelines", + "behavioral-considerations", + "amount-data-needed" + ] + } + ] +} diff --git a/docs/website/sidebarsAPI.json b/docs/website/sidebarsAPI.json new file mode 100644 index 00000000..09ee09a6 --- /dev/null +++ b/docs/website/sidebarsAPI.json @@ -0,0 +1,36 @@ +{ + "api": [ + { + "type": "category", + "label": "OpenDBM API", + "collapsed": false, + "collapsible": true, + "items": [ + { + "id": "api-doc", + "type": "doc" + }, + { + "id": "facial-activity-api", + "type": "doc", + "label": "Facial Activity" + }, + { + "id": "movement-api", + "type": "doc", + "label": "Movement" + }, + { + "id": "verbal-acoustics-api", + "type": "doc", + "label": "Verbal Acoustics" + }, + { + "id": "speech-api", + "type": "doc", + "label": "Speech" + } + ] + } + ] +} diff --git a/docs/website/sidebarsContributing.json b/docs/website/sidebarsContributing.json new file mode 100644 index 00000000..aae196ef --- /dev/null +++ b/docs/website/sidebarsContributing.json @@ -0,0 +1,20 @@ +{ + "contributing": [ + { + "type": "category", + "label": "Contributing to OpenDBM", + "collapsed": false, + "collapsible": true, + "items": [ + "overview", + "code-of-conduct", + "how-to-contribute-code", + "issue-reporting", + "community-discussions", + "publications-and-referencing", + "opendbm-listserv-signup", + "license-contact" + ] + } + ] +} diff --git a/docs/website/sidebarsExtras.json b/docs/website/sidebarsExtras.json new file mode 100644 index 00000000..ad7e4991 --- /dev/null +++ b/docs/website/sidebarsExtras.json @@ -0,0 +1,32 @@ +{ + "extras": [ + { + "type": "category", + "label": "Resources", + "collapsed": false, + "items": ["extras", + "ci-cd-pipeline", + "odbm-rest-api", + "odbm-doc", + "opendbm-python-api", + "opendbm-python-api-unittest", + "opendbm-python-api-add-new-variable"] + }, + { + "type": "category", + "label": "Contributing", + "collapsed": false, + "collapsible": true, + "items": [ + "overview", + "code-of-conduct", + "how-to-contribute-code", + "issue-reporting", + "community-discussions", + "publications-and-referencing", + "opendbm-listserv-signup", + "license-contact" + ] + } + ] +} diff --git a/docs/website/snackPlayerInitializer.js b/docs/website/snackPlayerInitializer.js new file mode 100644 index 00000000..5d058d98 --- /dev/null +++ b/docs/website/snackPlayerInitializer.js @@ -0,0 +1,87 @@ +/** + * Copyright (c) AiCure, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +import ExecutionEnvironment from '@docusaurus/ExecutionEnvironment'; + +export default (() => { + if (!ExecutionEnvironment.canUseDOM) { + return null; + } + + const updateSnacksTheme = () => { + const theme = document.querySelector('html').dataset.theme; + document.querySelectorAll('.snack-player').forEach(snack => { + snack.dataset.snackTheme = theme; + }); + }; + + const initSnackPlayers = () => { + // console.log('initSnackPlayers'); + updateSnacksTheme(); + window.ExpoSnack && window.ExpoSnack.initialize(); + }; + + const setupTabPanelsMutationObservers = () => { + const tabPanels = document.querySelectorAll('[role=tabpanel]'); + // console.log('setupTabPanelsMutationObservers', {tabPanels}); + tabPanels.forEach(tabPanel => { + new MutationObserver((mutations, observer) => { + initSnackPlayers(); + // console.log('tabPanel MutationObserver triggered', {tabPanels}); + }).observe(tabPanel, {childList: true}); + }); + }; + + if (document.readyState === 'complete') { + updateSnacksTheme(); + setupTabPanelsMutationObservers(); + } else { + document.addEventListener('readystatechange', () => { + if (document.readyState === 'complete') { + updateSnacksTheme(); + setupTabPanelsMutationObservers(); + } + }); + } + + // Reset snack iframes on theme changes to sync theme + // Hacky, but no better solution for now + // see https://github.com/expo/snack/blob/main/website/src/client/components/EmbedCode.tsx#L61 + const setupThemeSynchronization = () => { + new MutationObserver((mutations, observer) => { + if ('ExpoSnack' in window) { + document.querySelectorAll('.snack-player').forEach(container => { + updateSnacksTheme(); + window.ExpoSnack && window.ExpoSnack.remove(container); + window.ExpoSnack && window.ExpoSnack.append(container); + }); + } + }).observe(document.getElementsByTagName('html')[0], { + attributeFilter: ['data-theme'], + attributes: true, + childList: false, + subtree: false, + }); + }; + + // Need to set the theme before the snack script (deferred) initialize + updateSnacksTheme(); + setupThemeSynchronization(); + + return { + onRouteUpdate({location}) { + // console.log('onRouteUpdate', {location}); + + // TODO temporary, because onRouteUpdate fires before the new route renders... + // see https://github.com/facebook/docusaurus/issues/3399#issuecomment-704401189 + setTimeout(() => { + initSnackPlayers(); + setupTabPanelsMutationObservers(); + }, 0); + }, + }; +})(); diff --git a/docs/website/src/css/_shared.scss b/docs/website/src/css/_shared.scss new file mode 100644 index 00000000..960891cb --- /dev/null +++ b/docs/website/src/css/_shared.scss @@ -0,0 +1,72 @@ +%link-style { + display: initial; + color: var(--ifm-font-color-base); + background-color: rgba(187, 239, 253, 0.3); + line-height: calc(var(--ifm-font-size-base) + 4px); + border-bottom: 1px solid var(--ifm-hr-border-color); + + &:hover { + background-color: rgba(187, 239, 253, 0.6); + } +} + +%link-style-dark { + background-color: rgba(97, 218, 251, 0.12); + border-bottom-color: rgba(97, 218, 251, 0.3); + + &:hover { + background-color: rgba(97, 218, 251, 0.4); + border-bottom-color: var(--brand); + } +} + +%hash-link-style { + background-color: transparent; + border-bottom: 0; + color: var(--subtle); + + &:hover { + background-color: transparent; + color: var(--brand); + } +} + +%button-link-style { + display: inline-block; + padding: 8px 16px; + border: 1px solid var(--ifm-color-emphasis-300); + border-radius: var(--ifm-global-radius); + color: var(--ifm-color-content-secondary); + + &:hover { + background: var(--ifm-menu-color-background-hover); + color: var(--ifm-link-color); + } +} + +%scrollbar-style { + &::-webkit-scrollbar { + width: 7px; + height: 7px; + } + + &::-webkit-scrollbar-thumb { + background: #888; + border-radius: 10px; + } + + &::-webkit-scrollbar-track { + background: #f1f1f1; + border-radius: 10px; + } +} + +%scrollbar-style-dark { + &::-webkit-scrollbar-track { + background: #141414; + } + + &::-webkit-scrollbar-thumb { + background: var(--ifm-color-emphasis-200); + } +} diff --git a/docs/website/src/css/customTheme.scss b/docs/website/src/css/customTheme.scss new file mode 100644 index 00000000..34970500 --- /dev/null +++ b/docs/website/src/css/customTheme.scss @@ -0,0 +1,1809 @@ +@import "shared"; + +:root { + --brand: #61dafb; + --dark: #282c34; + --deepdark: #20232a; + --light: #373940; + --text: #1a1a1a; + --subtle: #767676; + --divider: #ececec; + --tintColor: #f7f7f7; + --rn-note-background: rgba(255, 229, 100, 0.25); + --ifm-font-family-base: "Optimistic Display", system-ui, -apple-system, + sans-serif; + --ifm-color-primary: #06bcee; + --ifm-font-size-base: 17px; + --ifm-spacing-horizontal: 16px; + --ifm-navbar-item-padding-horizontal: 18px; + --ifm-menu-link-padding-horizontal: 0; + --ifm-toc-padding-vertical: 6px; + --ifm-toc-link-color: var(--ifm-color-emphasis-700); + --ifm-code-font-size: 90%; + --ifm-code-border-radius: 3px; + --ifm-blockquote-color: var(--ifm-font-color-base); + --ifm-blockquote-font-size: 16px; + --ifm-table-head-color: var(--subtle); + --ifm-link-hover-decoration: none; + --ifm-navbar-background-color: var(--deepdark); + --ifm-transition-fast: 0; + --ifm-transition-slow: 0; + --ifm-pre-line-height: 1.5; + --ifm-tabs-padding-vertical: 6px; + --ifm-color-warning: #ffe564; + --ifm-alert-border-width: 0; + --ifm-alert-border-radius: 0; + --ifm-alert-color: var(--ifm-font-color-base); + --ifm-pagination-nav-color-hover: var(--ifm-color-emphasis-300); + --ifm-table-border-width: 0.005rem; + --ifm-navbar-sidebar-width: 100%; + --ifm-hr-border-color: var(--docusaurus-collapse-button-bg-hover); + + @media (min-width: 340px) { + --ifm-navbar-sidebar-width: 340px; + } +} + +html[data-theme="light"] { + --ifm-code-background: rgba(0, 0, 0, 0.06); + --docsearch-container-background: rgba(32, 35, 42, 0.6); + --ifm-link-color: #357da1; +} + +html[data-theme="dark"] { + --ifm-code-background: rgba(255, 255, 255, 0.06); + --ifm-toc-border-color: var(--dark); + --ifm-color-emphasis-300: var(--dark); + + *[class^="DocSearch"] { + --docsearch-searchbox-background: var(--ifm-background-color); + --docsearch-modal-background: var(--deepdark); + --docsearch-footer-background: var(--dark); + --docsearch-key-gradient: var(--deepdark); + --docsearch-key-shadow: inset 0 -2px 0 0 var(--light), + inset 0 0 1px 1px var(--light), + 0 1px 2px 1px var(--ifm-table-border-color); + --docsearch-container-background: rgba(0, 0, 0, 0.6); + } +} + +:root { + --doc-sidebar-width: 266px !important; +} + +::marker { + color: var(--ifm-font-color-secondary); +} + +/* Font */ + +@font-face { + font-family: "Optimistic Display"; + src: url("https://facebookmicrosites.github.io/design/public/fonts/OptimisticDisplayLight-199be98cf48e5b4c688356b08a02362c.woff2") + format("woff2"); + font-weight: 300; + font-style: normal; +} + +@font-face { + font-family: "Optimistic Display"; + src: url("https://facebookmicrosites.github.io/design/public/fonts/OptimisticDisplayRegular-b0e4e99f91efd0021c3ab8e4df0e6e1b.woff2") + format("woff2"); + font-weight: 500; + font-style: normal; +} + +@font-face { + font-family: "Optimistic Display"; + src: url("https://facebookmicrosites.github.io/design/public/fonts/OptimisticDisplayBold-3a50548145f36de582c3b36d9626f4d6.woff2") + format("woff2"); + font-weight: 700; + font-style: normal; +} + +/* Content */ + +.main-wrapper { + max-width: 1400px; + width: 1400px; + align-self: center; + font-weight: 300; + + div[class*="docPage"] { + justify-content: center; + } + + h1[class^="docTitle"] { + font-size: 2.8rem; + } + + .admonition-content { + a { + text-decoration: none; + } + } +} + +main[class^="docMainContainer"] > .container { + padding-top: 2rem !important; +} + +@media (max-width: 1416px) { + .main-wrapper { + max-width: 100%; + width: 100%; + } +} + +@media (max-width: 1320px) and (min-width: 997px) { + .container { + max-width: calc(var(--ifm-container-width) - var(--doc-sidebar-width) / 2); + } +} + +@media (min-width: 997px) { + main[class^="docMainContainer"] { + max-width: calc(100% - var(--doc-sidebar-width) + 44px); + } +} + +hr { + border: 0; + height: 0.01rem; + background-color: var(--ifm-table-border-color); +} + +.markdown { + code { + border-color: transparent; + vertical-align: initial; + font-size: var(--ifm-code-font-size) !important; + } + + blockquote { + background-color: var(--rn-note-background); + border-left: 8px solid var(--ifm-color-warning); + padding: 15px 30px 15px 15px; + + code { + background-color: rgba(0, 0, 0, 0.07); + } + + a code { + background-color: transparent; + white-space: pre; + } + } + + a { + @extend %link-style; + + code { + background-color: transparent; + font-size: 90%; + padding: 0 6px; + top: -1px; + position: relative; + } + + .hermes-logo { + float: right; + margin: -30px 4px 0; + } + + @media screen and (max-width: 960px) { + .hermes-logo { + margin: 0 4px 30px; + width: 100%; + } + } + } + + strong { + font-weight: 600; + } + + table { + border-collapse: collapse; + display: table; + margin: 20px 0; + width: 100%; + + thead tr { + background-color: var(--divider); + border: 0; + } + + tr th { + text-transform: uppercase; + padding: 6px 10px; + font-size: 0.7rem; + text-align: left; + } + + tr td { + font-size: 90%; + line-height: 1.3em; + padding: 10px; + text-align: left; + + code { + display: inline-block; + line-height: 1.2em; + vertical-align: top; + } + + ul { + margin: 8px 0 0 0; + padding: 4px 0 4px 20px; + } + } + + hr { + margin: 12px 0; + } + + .wideColumn { + width: 128px; + } + + .widerColumn { + width: 180px; + } + + .table-heading { + font-weight: var(--ifm-table-head-font-weight); + border-bottom: 2px solid var(--ifm-table-border-color); + } + + div[class*="codeBlockContainer"] { + &, + & pre { + margin-bottom: 0; + } + + pre code { + padding: 12px 16px; + white-space: break-spaces; + } + + button { + display: none; + } + } + } + + figure { + text-align: center; + padding: 8px; + + figcaption { + padding: 8px; + font-size: 0.9rem; + color: var(--subtle); + + code { + color: var(--subtle); + } + } + } + + .docusaurus-highlight-code-line { + background-color: var(--light); + } + + div[class*="codeBlockContainer"] { + box-shadow: none; + border-radius: 8px; + + pre { + border-radius: 8px; + } + + button { + border-color: var(--light); + background: var(--deepdark); + } + } + + div[class*="codeBlockContent"] { + display: grid; + min-width: 100%; + } + + div[class*="codeBlockLines"] { + font-size: 80%; + } + + div[class*="codeBlockTitle"] { + color: var(--subtle); + background-color: var(--ifm-color-emphasis-300); + } + + .prism-code { + @extend %scrollbar-style; + } + + .tabs { + border-bottom: 1px solid var(--ifm-table-border-color); + color: var(--ifm-font-color-base); + + .tabs__item { + font-weight: normal; + font-size: 15px; + color: var(--ifm-font-color-base); + user-select: none; + + &:hover { + border-radius: var(--ifm-global-radius) var(--ifm-global-radius) 0 0; + } + + &.tabs__item--active { + font-weight: 700; + } + } + } +} + +html[data-theme="dark"] { + .markdown { + a { + @extend %link-style-dark; + } + + blockquote { + code { + background-color: rgba(255, 255, 255, 0.09); + } + + a code { + background-color: transparent; + } + } + + table thead tr { + background-color: var(--ifm-menu-color-background-active); + } + + .prism-code { + @extend %scrollbar-style-dark; + } + + div[class*="codeBlockTitle"] { + color: var(--docsearch-muted-color); + background-color: var(--deepdark); + } + } +} + +div[class^="docPage"] .hash-link, +article[itemprop="blogPost"] .hash-link, +.mdx-page .hash-link, +.community-page .hash-link, +html[data-theme="dark"] div[class^="docPage"] .hash-link, +html[data-theme="dark"] article[itemprop="blogPost"] .hash-link, +html[data-theme="dark"].mdx-page .hash-link, +html[data-theme="dark"].community-page .hash-link { + @extend %hash-link-style; +} + +article .badge { + font-weight: 500; +} + +html[data-theme="dark"] article .badge { + background: var(--deepdark); + border-color: var(--deepdark); + color: var(--ifm-font-color-base); +} + +/* Admonitions & notes */ + +.alert--warning { + background-color: var(--rn-note-background); + font-size: 14px; + text-align: center; + + .margin-top--md { + margin-top: 0.33rem !important; + } +} + +.admonition { + text-align: left; + font-size: var(--ifm-blockquote-font-size); + line-height: var(--ifm-pre-line-height); + + h5 { + font-size: 14px; + } +} + +.alert--secondary { + --ifm-alert-background-color: var(--ifm-color-secondary-lightest); + --ifm-alert-background-color-highlight: rgba(225, 227, 230, 0.7); +} + +html[data-theme="dark"] .alert--secondary { + --ifm-alert-background-color: var(--ifm-color-secondary-contrast-background); + --ifm-alert-background-color-highlight: rgba(225, 227, 230, 0.15); +} + +/* Home page */ + +.homepage { + div[class*="codeBlockContainer"] { + margin-bottom: 0; + overflow: visible; + + .prism-code { + font-size: 90%; + } + } +} + +/* Community page */ + +.community-page { + h1 { + font-size: 2.8rem; + } + + h2 { + font-size: 2rem; + margin-top: 36px; + } + + h3 { + font-size: 1.5rem; + margin-top: 16px; + display: inline-block; + } + + .row .col p a { + @extend %link-style; + } + + .row .col.col--2 { + --ifm-col-width: calc(3 / 12 * 100%) !important; + } + + .col--offset-2 { + --ifm-col-width: calc(9 / 12 * 100%) !important; + margin-left: 0 !important; + } +} + +html[data-theme="dark"].community-page { + .row .col p a { + @extend %link-style-dark; + } +} + +@media (max-width: 996px) { + .community-page { + .col--offset-2 { + --ifm-col-width: 100% !important; + } + } +} + +/* Version warning */ + +.theme-doc-version-banner.alert--warning { + background-color: rgba(100, 215, 255, 0.3); + border-style: none; + color: var(--ifm-font-color-base); + box-shadow: none; + a { + color: var(--ifm-font-color-base) !important; + text-decoration: underline !important; + text-decoration-thickness: 1px !important; + } +} + +/* Sidebars */ + +html[data-theme="dark"] { + @extend %scrollbar-style-dark; +} + +/* Blog */ + +.avatar__name { + line-height: 24px; + + a { + @extend %link-style; + } +} + +html[data-theme="dark"] .avatar__name a { + @extend %link-style-dark; +} + +.avatar__subtitle { + margin-top: 0; + font-weight: 500; + color: var(--subtle); +} + +article header h2 a { + color: var(--ifm-font-color-base); + + &:hover { + color: var(--light); + } +} + +div[class^="blogPostData"] { + color: var(--subtle); +} + +.main-wrapper.blog-wrapper .container.margin-vert--lg .col.text--right a { + padding: 8px 16px !important; +} + +a[class*="tagRegular"] { + padding: 6px 12px !important; + + &:hover { + background: var(--ifm-menu-color-background-active); + --docusaurus-tag-list-border: inherit; + } +} + +.blog-wrapper { + .pagination-nav__item .pagination-nav__label:before, + .pagination-nav__item--next .pagination-nav__label:after { + display: none; + } +} + +/* Navbar */ + +.navbar { + &.navbar--dark { + background-color: var(--deepdark); + } + + .navbar__inner { + max-width: 1360px; + margin: 0 auto; + } + + .navbar__title { + font-weight: 600; + font-size: 18px; + } + + .navbar__brand:hover { + color: var(--brand); + } + + .navbar__item { + &.navbar__link { + font-weight: 400; + font-size: 17px; + user-select: none; + } + + &.dropdown { + a { + font-weight: 400; + font-size: 14px; + } + ul { + /* Control navbar dropdown alignment */ + top: calc(100% + 0px); + left: 0; + } + } + } + + .navbar__logo { + width: 38px; + height: 34px; + transition: transform 0.5s; + } + + .navbar__brand:hover .navbar__logo { + transform: rotate(180deg) scale(0.9); + } + + .clean-btn:hover { + background: var(--ifm-color-emphasis-800); + } + + .DocSearch-Button { + border-radius: var(--ifm-global-radius); + padding: 0 6px 0 10px; + font-family: var(--ifm-font-family-base); + + .DocSearch-Search-Icon { + width: 16px; + margin-top: -1px; + } + } + + .DocSearch-Button-Placeholder, + .DocSearch-Button-Key { + font-size: 14px !important; + } + + .DocSearch-Button-Key { + padding-bottom: 0 !important; + } + + .DocSearch-Button-Key svg { + margin-bottom: 1px !important; + } + + .dropdown__menu { + min-width: 120px; + + a.dropdown__link--active { + font-weight: 600; + } + } + + .navbar__items div[class^="searchBox"] { + padding-left: 14px; + } + + .navbar-github-link { + &:after { + transition: opacity 0.2s; + content: ""; + width: 24px; + height: 24px; + display: flex; + background-image: url("data:image/svg+xml;charset=utf-8,%3Csvg viewBox='0 0 24 24' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='%23fff' d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/%3E%3C/svg%3E"); + background-repeat: no-repeat; + background-position: center; + } + + &:hover:after { + opacity: 0.5; + } + } + + .navbar__link--active:after { + content: ""; + display: flex; + width: calc(100% + 40px); + height: 4px; + margin-top: -4px; + margin-left: -20px; + margin-right: -20px; + position: relative; + top: 18px; + background: var(--brand); + } + + .navbar-sidebar__back:hover { + background: var(--ifm-code-background); + } +} + +/* +Config has themeConfig.navbar.style === "dark" +But the navbar sidebar should still support light theme +So we need to "revert" some CSS vars to not enforce dark mode + */ +.navbar--dark { + --ifm-menu-link-sublist-icon-filter: inherit; /* reset to non-dark value */ + --ifm-menu-color: inherit; + --ifm-navbar-background-color: var(--divider); +} + +.navbar-sidebar { + .navbar-sidebar__brand { + background-color: var(--deepdark); + } + + .navbar-sidebar__items { + > .navbar-sidebar__item.menu { + > ul.menu__list { + margin: 4px; + } + } + + .menu__list-item a { + color: var(--ifm-color-emphasis-700); + padding: 4px 12px; + } + + .menu__list-item-collapsible a[class*="menuLinkText"] { + font-weight: 600; + font-size: 14px; + background: var(--ifm-background-color) !important; + } + } + + .navbar-github-link { + &:after { + content: "GitHub"; + background-image: none; + height: 20px; + } + + &:hover:after { + opacity: 1; + } + } + + .navbar__link--active:after { + display: none; + } +} + +html[data-theme="dark"] { + .navbar-sidebar { + background: var(--ifm-background-color); + } + + .navbar button[class*="toggleButton"]:hover { + background: var(--ifm-color-emphasis-200); + } +} + +@media (max-width: 1200px) { + .navbar { + .navbar__item.navbar__link { + font-size: 15px; + + &.navbar__link--active:after { + top: 20px; + } + } + + .DocSearch-Button { + padding: 0 12px; + max-width: 40px; + } + + .DocSearch-Button-Key, + .DocSearch-Button-KeySeparator, + .DocSearch-Button-Placeholder { + display: none; + } + } +} + +/* Sidebar */ + +aside[class^="theme-doc-sidebar-container"] { + margin-right: 16px; + + .thin-scrollbar { + @extend %scrollbar-style; + } + + .menu__list .menu__list { + margin-top: 0; + } + + .menu__list .menu__link--sublist, + a[class*="menu__link--sublist-caret"] { + font-size: 16px !important; + font-weight: 700 !important; + color: var(--ifm-color-content-secondary) !important; + + &:after { + display: none; + } + + &[aria-expanded]:after { + display: block; + background-size: 1.66rem 1.66rem; + margin-right: -6px; + margin-top: -1px; + } + } + + .menu__list .menu__list .menu__link--sublist, + a[class*="menu__link--sublist-caret"] { + font-weight: 700 !important; + font-size: 15px !important; + } + + .menu__list-item .menu__list-item .menu__list-item { + padding-left: 8px !important; + } + + .menu__link { + justify-content: space-between; + } + + .theme-doc-sidebar-item-category { + margin-bottom: 6px; + + .menu__list .menu__list-item-collapsible { + margin-top: 6px; + } + } + + .menu__list-item-collapsible:hover { + background: none !important; + + .menu__link--sublist-caret:hover { + background: var(--ifm-menu-color-background-hover) !important; + } + } + + @media only screen and (max-width: 1120px) { + --doc-sidebar-width: 240px; + } +} + +@media only screen and (min-width: 997px) { + aside[class^="theme-doc-sidebar-container"] { + .menu { + padding: 12px; + } + } +} + +@media only screen and (max-width: 996px) { + aside[class^="theme-doc-sidebar-container"] { + width: 0 !important; + min-width: 0 !important; + margin-right: 0; + } +} + +.menu__list { + margin-bottom: 8px; + transition: none !important; + height: auto !important; + + &.blog-menu__list { + font-size: 14px; + font-weight: 300; + + a { + line-height: 20px; + } + + .menu__link--active { + font-weight: 600; + } + } + + .menu__list-item { + margin-bottom: 2px; + margin-top: 2px; + user-select: none; + } + + .menu__link--sublist { + font-size: 15px; + font-weight: 600; + padding: 4px 12px !important; + color: var(--light); + + &:after { + background-size: 1.66rem 1.66rem; + margin-right: -6px; + } + } + + .menu__list { + .menu__link { + line-height: 20px; + font-size: 13px; + padding: 4px 12px !important; + font-weight: 300; + color: var(--ifm-font-color-base); + } + + .menu__link--sublist { + font-size: 14px !important; + } + + .menu__list .menu__link--active { + padding-left: 12px !important; + } + } + + .menu__link.menu__link--active { + border-left-color: var(--ifm-menu-color-active) !important; + border-left-width: 0; + } + + a[href].menu__link.menu__link--active { + background: var(--ifm-code-background); + padding-left: 8px !important; + border-left-width: 4px; + border-left-style: solid; + } + + a[href="#"].menu__link.menu__link--active { + border-left-width: 0; + } + + .menu__list-item-collapsible { + .menu__link--active { + border-left-color: transparent !important; + } + + .menu__link { + font-weight: 600; + font-size: 15px; + color: var(--subtle); + padding-left: 8px !important; + + .menu__link { + padding-left: 12px !important; + } + } + } + + .menu__list-item--collapsed .menu__list { + margin-bottom: 0; + } +} + +.menu__list-item.menu__list-item--collapsed { + .menu__list { + height: 0 !important; + } +} + +.menu--responsive .menu__button { + right: 1.3rem; + bottom: 1.3rem; +} + +html[data-theme="dark"] .menu { + @extend %scrollbar-style-dark; + + .menu__list > .menu__list-item > .menu__link--sublist { + color: var(--ifm-color-emphasis-400); + } + + .menu__list .menu__list .menu__link--sublist { + color: var(--subtle); + } +} + +/* TOC */ + +div[class^="tableOfContents"] { + min-width: 100%; + width: 100%; + + @extend %scrollbar-style; +} + +.table-of-contents { + li { + margin: 7px var(--ifm-toc-padding-vertical); + } + + ul { + padding-left: 0.35rem; + + li { + margin: 4px var(--ifm-toc-padding-vertical); + } + } + + .table-of-contents__link { + font-size: 12px; + display: block; + + code { + background: none; + padding: 0; + border: 0; + } + + &:hover { + color: var(--ifm-link-color); + + code { + color: var(--ifm-link-color); + } + } + } + + .table-of-contents__link--active { + font-weight: 500; + margin-left: -16px; + padding-left: 12px; + color: var(--ifm-font-color-base); + border-left: 4px solid var(--brand); + + code { + font-weight: 600; + color: var(--ifm-font-color-base); + white-space: nowrap; + } + + &:hover { + color: var(--ifm-font-color-base); + + code { + color: var(--ifm-font-color-base); + } + } + } +} + +html[data-theme="dark"] div[class^="tableOfContents"] { + @extend %scrollbar-style-dark; +} + +button[class*="tocCollapsibleButton"] { + color: var(--ifm-color-content-secondary); +} + +.navbar-sidebar { + background: var(--ifm-background-surface-color); +} + +.navbar-sidebar__back { + color: var(--ifm-color-content-secondary); + background: var(--ifm-footer-background-color); +} + +/* Doc Item footer metadata */ + +.theme-doc-footer { + margin-top: 40px !important; + margin-bottom: 16px !important; + font-size: 15px; + color: var(--subtle); + + a { + @extend %button-link-style; + + svg { + color: var(--ifm-color-primary); + } + } + + .lastUpdated { + font-size: 13px; + text-align: right; + } + + time, + strong { + font-weight: 600; + } + + .theme-last-updated { + line-height: 18px; + } +} + +@media only screen and (min-width: 540px) and (max-width: 996px) { + .theme-doc-footer .col { + flex-basis: 50% !important; + max-width: 50% !important; + } +} + +@media only screen and (max-width: 539px) { + .theme-doc-footer .col { + text-align: center; + + &:first-child { + margin-bottom: 16px; + } + } +} + +/* Pagination */ + +.pagination-nav { + .pagination-nav__label { + font-weight: 500; + } + + .pagination-nav__sublabel { + font-size: 15px; + } + + .pagination-nav__link:hover { + background: var(--ifm-menu-color-background-hover); + border-color: var(--ifm-color-emphasis-300); + } +} + +/* Footer */ + +.footer { + &.footer--dark { + --ifm-footer-background-color: var(--deepdark); + } + + .container { + max-width: 900px; + } + + .text--center { + color: #858a96; + font-size: 13px; + } + + .footer__item { + font-size: 14px; + padding: 8px 0 0; + min-height: 30px; + + a:hover svg { + color: var(--brand); + } + } + + .footer__title { + color: #858a96; + font-size: 14px; + font-weight: 500; + margin: 0 0 8px; + text-transform: uppercase; + } + + .footer__col { + margin: 4px 0 12px 2%; + padding-left: 0 !important; + } + + .footer__link-item { + line-height: 1.44; + display: inline-block; + } + + .footer__links { + margin-bottom: 8px; + } + + .footer__logo { + height: 54px; + max-width: 100%; + } + + svg[class^="iconExternalLink"] { + color: var(--subtle); + right: -1px; + width: 9px; + } +} + +@media only screen and (max-width: 996px) { + .footer { + .footer__col { + text-align: center; + flex-basis: 48% !important; + max-width: 48% !important; + margin-bottom: 28px; + } + + .footer__links { + padding: 0 20px; + } + } +} + +@media only screen and (max-width: 500px) { + .footer { + .footer__col { + flex-basis: 99% !important; + max-width: 99% !important; + margin-bottom: 24px; + text-align: center; + } + } +} + +/* Content banner */ + +.content-banner { + background: #99d5e7; + padding: 1em 1.2em; + margin-bottom: 2em; + position: relative; + overflow: hidden; + width: calc(100% + 1em); + left: -1em; + color: var(--dark); +} + +.content-banner p { + width: calc(75% - 2em); + margin: 0; +} + +.content-banner-img { + width: 7%; + position: absolute; + top: 1.7em; + right: 4em; +} + +.content-banner a:link, +.content-banner a:visited, +.content-banner a:hover, +.content-banner a:active, +.content-banner a:focus { + border-bottom-width: 2px; + background: none !important; + color: #134484 !important; + border-bottom-color: #134484 !important; +} + +/* "Native Code Required" banner */ + +.banner-native-code-required { + position: relative; + overflow: hidden; + background: #eeebfe; + padding: 24px 48px 24px 24px; + margin-bottom: 24px; + border-left: 8px solid #6170af; + + h2, + h3 { + color: #6170af; + margin-top: 0; + + &:before { + content: " "; + float: left; + width: 32px; + height: 32px; + border-radius: 4px; + background-color: #6170af; + background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 23 21' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M0 18.036c.042.507.221 1.016.692 1.699.558.81 1.518 1.254 2.218.54.473-.481 5.582-9.335 8.045-12.69a.737.737 0 011.202 0c2.463 3.355 7.572 12.209 8.045 12.69.7.714 1.66.27 2.218-.54.55-.798.702-1.358.702-1.955 0-.407-7.958-15.086-8.76-16.308C13.593.297 13.357.042 12.053 0h-.994c-1.304.041-1.54.297-2.31 1.472C7.964 2.67.317 16.77 0 17.737v.299z' fill='%23fff'/%3E%3C/svg%3E%0A"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px; + margin-right: 12px; + margin-top: -2px; + } + } + + p { + margin-bottom: 0; + } + + code { + background-color: rgba(89, 91, 145, 0.12); + } +} + +html[data-theme="dark"] .banner-native-code-required { + background: rgba(123, 132, 172, 0.35); + border-left-color: #5d659a; + + h2, + h3 { + color: var(--ifm-font-color-base); + } + + h2:before, + h3:before { + background-color: #5d659a; + } + + code { + background: rgba(165, 175, 219, 0.15); + } +} + +/* Color preview box */ + +.color-box { + float: left; + width: 24px; + height: 24px; + margin: 2px 8px 0 0; + border: 0.05rem solid var(--deepdark); + border-radius: 3px; +} + +td .color-box { + width: 20px; + height: 20px; +} + +/* Labels */ + +.label { + display: inline-block; + position: relative; + font-size: 0.85rem; + font-weight: 500; + color: #fff; + padding: 2px 12px; + border-radius: 0 2px 2px 0; + + /* Label sharp end */ + &:before { + content: ""; + position: absolute; + top: 0; + left: -12px; + border-color: transparent; + border-style: solid; + border-width: 12px 12px 12px 0; + } + + /* Label skeuomorphic hole */ + &:after { + content: ""; + position: absolute; + top: 10px; + left: 0; + width: 4px; + height: 4px; + border-radius: 2px; + background: #fff; + } + + /* Basic label */ + &.basic { + border-radius: 3px; + border-style: solid; + border-width: 2px; + + &:before, + &:after { + display: none; + } + } + + /* Label variants */ + &.android { + background: #a4c936; + + &:before { + border-right-color: #a4c936; + } + } + + &.ios { + background: #222; + + &:before { + border-right-color: #222; + } + } + + &.tv { + background: #6170af; + + &:before { + border-right-color: #6170af; + } + } + + &.required { + margin-left: 0; + margin-right: 16px; + color: #fa5035; + border-color: #fa5035; + } +} + +html[data-theme="dark"] .label { + color: var(--text); + + &:after { + background: var(--ifm-background-color); + } + + &.ios { + background: #fff; + + &:before { + border-right-color: #fff; + } + } + + &.required { + color: #fa5035; + } +} + +/* Label inside other tags */ + +h2 .label { + top: -6px; + margin-left: 12px; + padding: 3px 12px; +} + +h3 .label { + top: -3px; + margin-left: 22px; + line-height: 20px; +} + +td .label { + padding: 0 8px 0 10px; + font-size: 0.7rem; + margin-left: 14px; + + &:before { + left: -8px; + border-width: 10px 8px 10px 0; + } + + &:after { + top: 8px; + } + + &.required { + margin-left: 8px; + letter-spacing: 0.02rem; + padding: 0 6px; + border-width: 1px; + margin-right: 0; + } + + &.two-lines { + margin-left: 0; + margin-top: 5px; + + &.ios, + &.android, + &.tv { + margin-left: 8px; + } + } +} + +/* Label as dot in the right sidebar */ + +.table-of-contents .label { + position: absolute; + padding: 0; + width: 6px; + height: 6px; + border-radius: 100%; + margin-left: 4px; + margin-top: 7px; + white-space: nowrap; + overflow: hidden; + color: transparent; + float: initial; + + &.required { + position: initial; + margin-left: 0; + margin-right: 6px; + border-width: 3px; + background: #fa5035; + } + + /* Second dot shift */ + &:nth-child(3) { + margin-left: 13px; + } +} + +/* + Mark pages as "new" using href attribute: + - to show badge in all versions use "PAGEID" + - to restrict badge only to the current/default version use "docs/PAGEID" + - to restrict badge only to the next version use "next/PAGEID" +*/ + +.menu__link[href*="dynamiccolorios"]:after, +.menu__link[href*="platformcolor"]:after, +.menu__link[href*="pressable"]:after { + content: "new"; + display: inline-block; + position: relative; + top: 1px; + margin-right: -6px; + margin-left: auto; + padding: 3px 6px; + border: 1px solid #86b300; + border-radius: 3px; + color: #86b300; + text-transform: uppercase; + font-size: 10px; + line-height: 10px; + height: 10px; + font-weight: 600; +} + +/* Components grid */ + +article .component-grid { + max-width: 800px; + margin-bottom: 22px; + + .component { + border: 1px solid var(--ifm-color-emphasis-500); + border-radius: var(--ifm-global-radius); + margin: 0 auto 24px; + width: 100%; + display: inline-block; + transition: transform 0.2s ease-in-out; + overflow: hidden; + + &:hover { + transform: scale(1.05); + } + + h3 { + font-size: 16px; + font-weight: 600; + margin: 0; + padding: 0 10px; + background-color: var(--ifm-color-primary); + color: white; + line-height: 36px; + + a { + color: white; + } + } + + p { + padding: 10px; + font-size: 15px; + margin: 2px; + + code { + font-size: 15px; + padding: 0 1px; + } + } + } +} + +html[data-theme="dark"] .component { + border: 1px solid var(--ifm-color-emphasis-200); +} + +@supports (display: grid) { + article .component-grid { + display: grid; + grid-column-gap: 22px; + } +} + +@media only screen and (min-width: 768px) { + article .component-grid.component-grid-border { + border-bottom: 1px solid var(--ifm-table-border-color); + } + + article .component { + width: 30%; + height: 150px; + margin: 0 22px 22px auto; + vertical-align: top; + } + + @supports (display: grid) { + article .component-grid { + grid-template-columns: repeat(2, 1fr); + } + + @media only screen and (min-width: 1440px) { + article .component-grid { + grid-template-columns: repeat(3, 1fr); + } + } + + article .component { + width: auto; + height: auto; + margin: 0; + } + } +} + +/* Docs Rating Box */ + +.docsRating { + display: inline-block; + padding: 16px 30px 16px 40px; + min-height: 66px; + margin-top: 42px; + margin-left: -32px; + background-color: rgba(100, 215, 255, 0.3); + text-align: center; + color: #057594; + line-height: 32px; + font-weight: 500; + border-radius: 0 var(--ifm-global-radius) var(--ifm-global-radius) 0; + + svg { + height: 1.5em; + width: 1.5em; + margin: 0 0 0 6px; + + &:hover, + &:focus { + cursor: pointer; + fill: var(--ifm-color-primary); + } + } + + .i_thumbsup { + fill: #56a211; + transform: translateY(0.25em); + margin-left: 12px; + } + + .i_thumbsdown { + fill: #e9430f; + transform: scale(-1, -1) translateY(-0.25em); + } +} + +html[data-theme="dark"] .docsRating { + color: #cee9f3; +} + +@media only screen and (max-width: 996px) { + .docsRating { + width: 100%; + margin: 36px 0 0 !important; + border-radius: var(--ifm-global-radius); + } +} + +/* Snack Player */ + +.snack-player { + height: 544px; + width: 100%; + overflow: hidden; + margin-bottom: 24px; + border: 1px solid var(--ifm-table-border-color); + border-radius: var(--ifm-global-radius); +} + +/* Two columns code block */ + +.two-columns { + display: grid; + gap: 0 2%; + grid-template-columns: 1fr 1fr; + grid-template-rows: 1fr; + grid-template-areas: ". ."; + + div[class*="codeBlockContainer"] { + overflow: auto; + } + + div[class*="codeBlockLines"] { + white-space: pre-wrap; + } +} + +@media only screen and (max-width: 996px) { + .two-columns { + gap: 0; + grid-template-columns: 1fr; + grid-template-rows: 1fr 1fr; + grid-template-areas: "." "."; + } +} + +/* Blog */ + +.blog-wrapper .main-wrapper { + h3[class*="sidebarItemTitle"] { + color: var(--ifm-font-color-secondary); + } + + .container.margin-vert--lg { + max-width: calc(100% - (var(--ifm-spacing-horizontal)) * 4); + margin-top: 0 !important; + margin-bottom: 0 !important; + + .col.text--right a { + @extend %button-link-style; + padding: 8px 32px; + } + + a.margin-horiz--sm, + a.padding-right--md { + @extend %link-style; + padding-right: 0 !important; + margin-right: 16px; + } + + .docusaurus-mt-lg { + margin-top: 2rem; + } + + footer { + b { + font-weight: 500; + } + + .text--right b { + font-weight: 700; + } + } + } + + .container .row .col.col--3 { + --ifm-col-width: calc(5 / 24 * 100%); + padding: 0; + } + + .container .row .col.col--7 { + --ifm-col-width: calc(15 / 24 * 100%); + padding: 24px 16px 24px 32px; + + &:last-child { + --ifm-col-width: calc(19 / 24 * 100%); + } + } + + article.margin-bottom--xl { + margin-bottom: 2.5rem !important; + } + + aside nav { + @extend %scrollbar-style; + } +} + +html[data-theme="dark"].blog-wrapper { + .main-wrapper { + aside nav { + @extend %scrollbar-style-dark; + } + } +} + +html[data-theme="light"].blog-wrapper { + .main-wrapper { + .container.margin-vert--lg { + .col.text--right a:hover { + color: var(--ifm-link-color); + } + } + } +} + +@media only screen and (max-width: 996px) { + .container.margin-vert--lg .row .col.col--3 { + display: none; + } + + .container.margin-vert--lg .row .col.col--7 { + --ifm-col-width: 100% !important; + padding: 24px 16px !important; + } + + html:not(.community-page) .main-wrapper { + .container.margin-vert--lg { + max-width: 96% !important; + } + } +} + +/* Pill tabs */ + +.markdown .tabs.pill-tabs { + border-bottom: 0; + + .tabs__item { + margin-right: 10px; + border-radius: var(--ifm-global-radius); + border: 2px solid var(--ifm-table-border-color); + + &:hover { + border-radius: var(--ifm-global-radius); + } + + &.tabs__item--active { + border-color: var(--ifm-tabs-color-active); + } + } +} diff --git a/docs/website/src/css/index.scss b/docs/website/src/css/index.scss new file mode 100644 index 00000000..7b81fc82 --- /dev/null +++ b/docs/website/src/css/index.scss @@ -0,0 +1,802 @@ +@import "shared"; + +.homepage { + width: 100%; + max-width: 100%; +} + +/* ActionButton */ + +.ActionButton { + padding: 0.75rem 1.5rem; + text-align: center; + font-size: 1.25rem; + font-weight: 400; + text-decoration: none !important; + border-bottom: none; + transition: all 0.2s ease-out; + max-width: 50%; + + &.primary { + color: var(--dark); + background-color: var(--brand); + + &:hover { + color: black; + background-color: white; + } + } + + &.secondary { + background: none; + color: var(--brand); + + &::after { + content: "›"; + font-size: 24px; + margin-left: 5px; + } + + &:hover { + color: white; + } + } +} + +@media only screen and (max-width: 480px) { + .ActionButton { + max-width: 100%; + width: 100%; + display: block; + white-space: nowrap; + } +} + +/* AcknowledgementList */ + +.AcknowledgementList { + display: grid; + padding: 0; + grid-template-columns: 1fr 1fr 1fr 1fr 1fr; + grid-gap: 16px; + + .item { + list-style: none; + + a img { + border-radius: 20%; + overflow: hidden; + } + } +} + +/* Community */ + +.Community .content { + max-width: 900px; + margin: 0 auto; + display: flex; + flex-direction: column; + + .firstP img { + float: left; + width: 56px; + height: 56px; + margin-right: 20px; + } +} + +@media only screen and (max-width: 480px) { + .Community .Heading { + width: 100%; + padding: 0 1rem; + margin-bottom: 1.5rem; + } +} + +@media only screen and (min-width: 481px) and (max-width: 960px) { + .Community .Heading { + width: 100%; + padding: 0 4rem; + margin-bottom: 1.5rem; + } + + .Community .AcknowledgementList { + width: 100%; + max-width: 500px; + margin: 2rem auto; + } +} + +@media only screen and (min-width: 961px) { + .Community .column.first { + border-right: 1px solid var(--ifm-table-border-color); + } +} + +/* Cross Platform */ + +.CrossPlatform { + svg { + max-width: 400px; + margin: -20px 0; + + text { + fill: var(--ifm-color-content-secondary); + } + } +} + +@media only screen and (max-width: 960px) { + .CrossPlatform .TwoColumns { + grid-gap: 2rem; + } + + .CrossPlatform svg { + max-width: 100%; + margin: 0 auto; + } +} + +@media only screen and (min-width: 481px) and (max-width: 960px) { + .CrossPlatform .column.last { + width: 86%; + margin: 0 auto; + text-align: center; + } +} + +/* Fast Refresh */ + +/* Make video flush with the bottom */ +.FastRefresh { + margin-bottom: -50px; +} + +/* Get rid of extra padding at the bottom of the video */ +.FastRefresh .column.last { + margin-bottom: -6px; +} + +@media only screen and (max-width: 480px) { + .FastRefresh .column.last { + padding: 0; + } + + .FastRefresh video { + width: 100%; + } +} + +@media only screen and (min-width: 481px) and (max-width: 960px) { + .FastRefresh .TwoColumns { + grid-gap: 2rem; + } + + .FastRefresh .column.last { + width: 100%; + padding: 0; + } + + .FastRefresh video { + width: 100%; + } +} + +@media only screen and (min-width: 961px) { + /* Give video more space than text */ + .FastRefresh .TwoColumns { + grid-template-columns: 2fr 1fr; + } + + /* Make video flush with top of section */ + .FastRefresh .last { + margin-top: -50px; + } + + /* Need to set video height so it'll fit */ + .FastRefresh video { + height: 340px; + /* width: 100%; */ + } +} + +/* Get Started */ + +.GetStarted, +.GetStarted p { + color: white; +} + +.GetStarted .Heading { + color: var(--brand); + text-align: center; +} + +.GetStarted .content { + max-width: 900px; + margin: 0 auto; + display: flex; + flex-direction: column; +} + +.GetStarted .steps { + align-self: center; +} + +.GetStarted .steps li { + font-size: 28px; + margin-bottom: 8px; +} + +.GetStarted .steps li p { + font-size: 17px; +} + +.GetStarted .terminal { + display: flex; + flex-direction: column; + border-left: 1px solid gray; + border-right: 1px solid gray; + border-top: 1px solid gray; + border-top-left-radius: 10px; + border-top-right-radius: 10px; + padding: 30px 30px 0px 30px; + width: 600px; + position: relative; +} + +.GetStarted .terminal::before { + content: "○ ○ ○"; + color: gray; + font-size: 16px; + position: absolute; + left: 15px; + top: 5px; +} + +.GetStarted code { + color: white; + font-size: 18px; + position: relative; + background: none; + border: 0; +} + +.GetStarted code:first-child::before { + content: ">"; + position: absolute; + left: -13px; + color: gray; +} + +@media screen and (max-width: 760px) { + .GetStarted .content { + width: 80%; + } + + .GetStarted .steps li { + margin-left: -1rem; + } + + .GetStarted .terminal { + width: 100%; + } +} + +/* Header Hero */ + +.HeaderHero { + padding-top: 20px; +} + +.HeaderHero .TwoColumns .column { + max-width: initial; +} + +.HeaderHero .socialLinks { + display: flex; + justify-content: flex-end; + max-width: 1200px; + margin: -10px auto 0; + + .twitter-follow-button, + .github-button { + margin-right: 1rem; + } +} + +.HeaderHero .TwoColumns { + align-items: center; +} + +.HeaderHero .title { + font-size: 84px; + color: var(--brand); + line-height: 1; + margin-top: 0; + margin-bottom: 20px; + font-weight: 500; +} + +.HeaderHero .tagline { + font-size: 36px; + line-height: 1.3; + color: white; + font-weight: 500; +} + +.HeaderHero .buttons { + margin-top: 40px; +} + +.HeaderHero .image { + display: flex; + align-items: center; + justify-content: center; +} + +@media only screen and (min-width: 961px) { + .HeaderHero .TwoColumns { + grid-template-columns: 3fr 1fr; + } + + .HeaderHero .TwoColumns .column.left { + padding-right: 0; + } + + .HeaderHero .TwoColumns .column.right { + padding-left: 0; + } +} + +@media only screen and (min-width: 481px) and (max-width: 960px) { + .HeaderHero .column.first { + display: flex; + justify-content: center; + } + .HeaderHero .column.last { + text-align: center; + } +} + +@media only screen and (max-width: 760px) { + .HeaderHero .title { + font-size: 60px; + } + + .HeaderHero .tagline { + font-size: 30px; + } + + .HeaderHero .socialLinks { + margin-top: -2rem; + } +} + +/* Heading */ + +.Heading { + font-size: 25px; + color: var(--ifm-font-color-base); + line-height: 1.2; + margin-top: 0; + margin-bottom: 20px; + font-weight: 700; +} + +/* Home page */ + +.HomePage { + width: 100%; + overflow-x: hidden; +} + +/* Logo Animation */ + +.LogoAnimation { + width: 350px; +} + +@media only screen and (max-width: 760px) { + .LogoAnimation { + width: 100%; + } +} + +.LogoAnimation .screen { + transition: all 850ms ease-in-out; + stroke-opacity: 0; + transform: scale(2.25, 1.33) rotate(0); + stroke-width: 5px; +} + +.LogoAnimation .background { + fill: var(--dark); +} + +.LogoAnimation .logoInner { + transform: scale(1); + transition: all 850ms ease-in-out; + transition-delay: 50ms; +} + +.LogoAnimation.mobile .logoInner, +.LogoAnimation.mobile2 .logoInner { + transform: scale(0.4); +} + +.LogoAnimation.desktop .logoInner { + transform: scale(0.5); +} + +.LogoAnimation.laptop .logoInner { + transform: scale(0.35); +} + +.LogoAnimation.full .screen { + stroke-opacity: 0; + transform: scale(2.25, 1.33) rotate(0); + opacity: 1; + transition: none; +} + +.LogoAnimation.mobile .screen { + stroke-opacity: 1; + transform: scale(1) rotate(0); + opacity: 1; + stroke-width: 5px; +} + +.LogoAnimation.desktop .screen { + stroke-opacity: 1; + transform: scale(1.125, 1.1) rotate(-90deg); + opacity: 1; + stroke-width: 8px; +} + +.LogoAnimation.laptop .screen { + stroke-opacity: 1; + transform: scale(0.83) rotate(-90deg); + opacity: 1; + stroke-width: 5px; +} + +.LogoAnimation.mobile2 .screen { + stroke-opacity: 1; + opacity: 1; + stroke-width: 5px; + transform: scale(1) rotate(-180deg); +} + +.LogoAnimation.full2 .screen { + stroke-opacity: 0; + transform: scale(2.25, 1.33) rotate(-180deg); +} + +.LogoAnimation:not(.mobile):not(.mobile2) .speaker { + opacity: 0; + transform: scaleX(0); +} + +.LogoAnimation:not(.desktop) .stand { + transform: scaleX(0); +} + +.LogoAnimation:not(.laptop) .base { + transform: scaleX(0); +} + +.LogoAnimation .speaker, +.LogoAnimation .stand, +.LogoAnimation .base { + transition: all 850ms ease-in-out; +} + +/* Native Apps */ + +.AdvancedBioMaker { + overflow: hidden; +} + +@media only screen and (max-width: 960px) { + .AdvancedBioMaker .column.last { + max-height: 300px; + } +} + +@media only screen and (min-width: 481px) and (max-width: 960px) { + .AdvancedBioMaker .column.last { + width: 66.7%; + margin: 0 auto; + } +} + +@media only screen and (min-width: 961px) { + .AdvancedBioMaker { + max-height: 400px; + } + + /* Correct for whitespace in the image of phones */ + .AdvancedBioMaker .column.left { + margin-top: -25px; + } +} + +/* Native Code */ + +.WrittenPython .column.last { + margin-bottom: -50px; +} + +.WrittenPython pre { + margin: 0; +} + +.WrittenPython .prism-code { + border-radius: 0; + font-size: 80%; + background-color: #282c34; +} + +@media only screen and (max-width: 480px) { + .WrittenPython .column.last { + width: 100%; + padding: 0; + overflow-x: hidden; + } + + .WrittenPython .prism-code { + font-size: 10px; + padding: 1.25rem 1.25rem; + } +} + +@media screen and (min-width: 481px) and (max-width: 960px) { + .WrittenPython .TwoColumns { + grid-gap: 2rem; + } + + .WrittenPython .column.last { + width: 100%; + padding: 0; + background-color: var(--dark); + height: 28rem; + overflow-y: scroll; + } + + .WrittenPython .prism-code { + width: 30rem; + margin: 0 auto; + padding: 1.25rem 0rem; + } +} + +@media only screen and (min-width: 961px) { + .WrittenPython .TwoColumns .column.right { + /* Make flush with top and bottom */ + margin-top: -50px; + /* Get rid of default left padding */ + padding-left: 0; + } + + .WrittenPython .column.right .prism-code { + /* Bleed background into the right */ + margin-right: -9999px; + padding: 16px 1.5rem; + height: 460px; + } +} + +/* Native Development */ + +.RichFeatures { + overflow-y: hidden; +} + +.RichFeatures .dissection { + position: relative; +} + +.RichFeatures .dissection img { + display: block; + margin-left: auto; + margin-right: auto; +} + +@media only screen and (max-width: 960px) { + .RichFeatures .TwoColumns { + grid-gap: 2rem; + } +} + +@media only screen and (max-width: 480px) { + .RichFeatures .dissection { + height: 350px; + } +} + +@media only screen and (min-width: 481px) and (max-width: 960px) { + .RichFeatures .dissection { + height: 450px; + } +} + +@media only screen and (min-width: 961px) { + .RichFeatures .dissection { + height: 300px; + } +} + +/* Section */ + +.Section { + width: 100%; + padding-top: 50px; + padding-bottom: 50px; + overflow-x: hidden; +} + +.Section + .Section { + border-top: 1px solid var(--ifm-table-border-color); +} + +.Section.tint { + background-color: var(--ifm-menu-color-background-active); +} + +.Section.dark { + background-color: var(--dark); +} + +.Section p a { + @extend %link-style; +} + +html[data-theme="dark"] .Section p a { + @extend %link-style-dark; +} + +/* VideoContent */ + +.VideoContent { + .twitter-follow-button { + margin-top: 1.5rem; + } +} + +@media only screen and (max-width: 960px) { + .VideoContent .TwoColumns { + grid-gap: 2rem; + } + + .VideoContent .column.last { + width: 100%; + display: flex; + justify-content: center; + } + + /* + * If the full-width video won't fit, make it full-width. + * https://jameshfisher.com/2017/08/30/how-do-i-make-a-full-width-iframe/ + */ + .VideoContent .vidWrapper { + position: relative; + width: 100%; + padding-top: 56.25%; + } + + .VideoContent iframe { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + } +} + +@media only screen and (min-width: 961px) { + /* Give more width for the video */ + .VideoContent .TwoColumns { + grid-template-columns: 1fr 2fr; + } + + .VideoContent iframe { + width: 560px; + height: 315px; + } +} + +/* Two columns */ + +.TwoColumns { + display: grid; +} + +.TwoColumns .column { + width: 100%; +} + +.TwoColumns .column.first { + grid-area: first; +} + +.TwoColumns .column.last { + grid-area: last; +} + +@media only screen and (min-width: 961px) { + .TwoColumns { + max-width: 900px; + margin: 0 auto; + grid-template-columns: repeat(2, 1fr); + grid-template-areas: "first last"; + } + + .TwoColumns.reverse { + grid-template-areas: "last first"; + } + + .TwoColumns .column { + max-width: 450px; + } + + .TwoColumns .column.left { + padding-right: 50px; + } + + .TwoColumns .column.right { + padding-left: 50px; + } +} + +@media only screen and (max-width: 960px) { + .TwoColumns, + .TwoColumns.reverse { + grid-template-columns: 1fr; + grid-template-areas: "first" "last"; + } + + .TwoColumns .column { + padding: 0 4rem; + } +} + +@media only screen and (max-width: 480px) { + .TwoColumns .column { + padding: 0 1.25rem; + } +} + +/* Twitter Follow Button */ + +.twitter-follow-button { + display: inline-block; + position: relative; + height: 28px; + box-sizing: border-box; + padding: 1px 10px 1px 9px; + background-color: #1b95e0; + color: #fff; + border-radius: 4px; + font-weight: 400; + cursor: pointer; + font-size: 13px; + line-height: 26px; + + &:hover { + color: #fff; + background-color: #0c7abf; + } + + .icon { + position: relative; + display: inline-block; + top: 4px; + height: 18px; + width: 18px; + margin-right: 4px; + background: transparent 0 0 no-repeat; + background-image: url(data:image/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%2072%2072%22%3E%3Cpath%20fill%3D%22none%22%20d%3D%22M0%200h72v72H0z%22%2F%3E%3Cpath%20class%3D%22icon%22%20fill%3D%22%23fff%22%20d%3D%22M68.812%2015.14c-2.348%201.04-4.87%201.744-7.52%202.06%202.704-1.62%204.78-4.186%205.757-7.243-2.53%201.5-5.33%202.592-8.314%203.176C56.35%2010.59%2052.948%209%2049.182%209c-7.23%200-13.092%205.86-13.092%2013.093%200%201.026.118%202.02.338%202.98C25.543%2024.527%2015.9%2019.318%209.44%2011.396c-1.125%201.936-1.77%204.184-1.77%206.58%200%204.543%202.312%208.552%205.824%2010.9-2.146-.07-4.165-.658-5.93-1.64-.002.056-.002.11-.002.163%200%206.345%204.513%2011.638%2010.504%2012.84-1.1.298-2.256.457-3.45.457-.845%200-1.666-.078-2.464-.23%201.667%205.2%206.5%208.985%2012.23%209.09-4.482%203.51-10.13%205.605-16.26%205.605-1.055%200-2.096-.06-3.122-.184%205.794%203.717%2012.676%205.882%2020.067%205.882%2024.083%200%2037.25-19.95%2037.25-37.25%200-.565-.013-1.133-.038-1.693%202.558-1.847%204.778-4.15%206.532-6.774z%22%2F%3E%3C%2Fsvg%3E); + } +} diff --git a/docs/website/src/css/showcase.scss b/docs/website/src/css/showcase.scss new file mode 100644 index 00000000..654cd5db --- /dev/null +++ b/docs/website/src/css/showcase.scss @@ -0,0 +1,139 @@ +@import "shared"; + +.showcaseSection { + max-width: 800px; + margin: 64px auto; + text-align: center; + padding: 0 20px; + + .showcase img { + height: 100px; + border-radius: 20px; + } + + .logos img { + padding: 0; + } + + .info { + font-size: 15px; + } + + p a { + @extend %link-style; + } + + .form-button { + @extend %button-link-style; + margin-bottom: 36px; + border-width: 2px; + font-weight: 500; + + &:hover { + border-color: var(--ifm-color-primary); + color: var(--ifm-font-color-base) !important; + } + } +} + +html[data-theme="dark"] .showcaseSection { + p a { + @extend %link-style-dark; + } + + .form-button { + color: var(--ifm-color-secondary-dark); + } +} + +.home-showcase-section { + max-width: 800px; + margin: 20px auto 20px auto; + text-align: center; + padding-bottom: 40px; + + p { + max-width: 560px; + margin: 0 auto; + } +} + +.pinned img { + width: 150px; + border-radius: 20px; +} + +.footnote { + font-size: 12px; + color: rgba(0, 0, 0, 0.4); +} + +.home-showcase-section { + h2 { + font-size: 31px; + line-height: 40px; + margin: 10px 0; + } + + .showcase img { + width: 100px; + height: 100px; + border-radius: 20px; + } +} + +.showcaseHeader { + padding-bottom: 15px; + padding-top: 15px; + text-align: center; +} + +.showcase { + margin: 30px auto 30px auto; + width: 100%; + display: inline-block; + text-align: center; + vertical-align: top; + + h3 { + margin-bottom: 0; + line-height: 21px; + padding: 5px 5px 2px; + font-size: 21px; + } + + p { + margin-top: 5px; + padding-top: 0 !important; + } + + h3, + p { + color: var(--ifm-color-emphasis-800); + } +} + +@media only screen and (max-device-width: 840px) { + .showcaseSection { + width: 100%; + } +} + +@media only screen and (min-width: 600px) { + .showcase { + width: 50%; + } +} + +@media only screen and (min-width: 960px) { + .showcase { + width: 25%; + } +} + +@media only screen and (min-device-width: 736px) { + .showcaseSection .showcase img { + width: 100px; + max-height: 100px; + } +} diff --git a/docs/website/src/css/versions.scss b/docs/website/src/css/versions.scss new file mode 100644 index 00000000..1416c11e --- /dev/null +++ b/docs/website/src/css/versions.scss @@ -0,0 +1,47 @@ +@import "shared"; + +.versions-page { + max-width: 960px; + padding: 28px; + + h1 { + font-size: 3rem; + } + + h2 { + font-size: 2rem; + } + + code { + white-space: pre; + border: 0; + } + + p a, + td a { + @extend %link-style; + + code { + background: none; + white-space: nowrap; + } + } + + table th, + table td { + min-width: 100px; + font-size: 15px; + padding: 8px 20px; + } + + .versions { + margin-bottom: 32px; + } +} + +html[data-theme="dark"] .versions-page { + p a, + td a { + @extend %link-style-dark; + } +} diff --git a/docs/website/src/pages/animations/_dissectionAnimation.js b/docs/website/src/pages/animations/_dissectionAnimation.js new file mode 100644 index 00000000..533575c9 --- /dev/null +++ b/docs/website/src/pages/animations/_dissectionAnimation.js @@ -0,0 +1,45 @@ +export function setupDissectionAnimation() { + const section = document.querySelector('.RichFeatures'); + const dissection = document.querySelector('.RichFeatures .dissection'); + const images = dissection.children; + const numImages = images.length; + + const fadeDistance = 40; + const navbarHeight = 60; + + function clamp(val, min, max) { + return Math.min(max, Math.max(min, val)); + } + + // Scale the percent so that `min` goes to 0% and `max` goes to 100% + function scalePercent(percent, min, max) { + const scale = max - min; + return clamp((percent - min) / scale, 0, 1); + } + + // Get the percentage that the image should be on the screen given + // how much the entire container is scrolled + // so we can fine-tune at what screen % the animation starts and stops + function getImagePercent(index, scrollPercent) { + const start = index / numImages; + return clamp((scrollPercent - start) * numImages, 0, 1); + } + + function onScroll() { + const elPos = section.getBoundingClientRect().top - navbarHeight; + const height = window.innerHeight; + const screenPercent = 1 - clamp(elPos / height, 0, 1); + const scaledPercent = scalePercent(screenPercent, 0.2, 0.9); + for (let i = 0; i < numImages; i++) { + const imgPercent = getImagePercent(i, scaledPercent); + images[i].style.opacity = imgPercent; + + const translation = fadeDistance * (1 - imgPercent); + images[i].style.left = `${translation}px`; + } + } + + window.addEventListener('scroll', onScroll); + + return () => window.removeEventListener('scroll', onScroll); +} diff --git a/docs/website/src/pages/animations/_headerAnimation.js b/docs/website/src/pages/animations/_headerAnimation.js new file mode 100644 index 00000000..c2626709 --- /dev/null +++ b/docs/website/src/pages/animations/_headerAnimation.js @@ -0,0 +1,49 @@ +export function setupHeaderAnimations() { + const steps = ['full', 'mobile', 'desktop', 'laptop', 'mobile2', 'full2']; + const intervals = [1250, 1500, 1500, 1500, 1500, 1250]; + + let i = 0; + const timeouts = []; + + const logo = document.querySelector('.LogoAnimation'); + + function animateStep() { + const prev = steps[i]; + logo.classList.remove(prev); + i = (i + 1) % steps.length; + const current = steps[i]; + const timeout = intervals[i]; + logo.classList.add(current); + + timeouts.push(setTimeout(animateStep, timeout)); + } + + // only start the animation if the document is visible on load + if (!document.hidden) { + timeouts.push( + setTimeout(() => { + logo.classList.remove('init'); + animateStep(); + }, 2000) + ); + } + + function onVisibilityChange() { + if (document.hidden) { + timeouts.forEach(timeout => { + clearTimeout(timeout); + }); + // clear the timeouts array + timeouts.length = 0; + } else { + // restart the animation when visible + animateStep(); + } + } + + // https://developer.mozilla.org/en-US/docs/Web/API/Page_Visibility_API + document.addEventListener('visibilitychange', onVisibilityChange, false); + + return () => + document.removeEventListener('visibilitychange', onVisibilityChange); +} diff --git a/docs/website/src/pages/help.md b/docs/website/src/pages/help.md new file mode 100644 index 00000000..d23c3b45 --- /dev/null +++ b/docs/website/src/pages/help.md @@ -0,0 +1,36 @@ +--- +title: Community +description: The OpenDBM Community +wrapperClassName: 'community-page' +--- + +# The OpenDBM Community + +There are some developers / researchers around the world using OpenDBM. This is a brief overview of where you can find them. + +## Where To Get Help + +If you need help with your OpenDBM library, the right place to go depends on the type of help that you need. + +### Repository + +The core of **OpenDBM** is worked on full-time by AiCure's OpenDBM team. But there are far more people in the community who make key contributions and fix things. If the issue you are facing is code related, you should consider checking the open issues in the [main repository](https://github.com/AiCure/open_dbm/issues). If you cannot find an existing issue, please [use the Bug Report template](https://github.com/AiCure/open_dbm/issues/new?assignees=&labels=&template=bug_report.yaml) to create an issue with a minimal example. + +### Stack Overflow + +Many members of the community use Stack Overflow to ask questions. Read through the [existing questions](http://stackoverflow.com/questions/tagged/opendbm?sort=frequent) tagged with **opendbm** or [ask your own](http://stackoverflow.com/questions/ask?tags=opendbm)! + +## Staying up to date +### Discussion + +OpenDBM is still a young library, and its rapid release cycle leaves the door open for discussing how it can evolve at every step of the way. If you want to know the discussions that are talking about, you can read through the [Discussions](https://github.com/AiCure/open_dbm/discussions). + +### Conferences + +You can check the [OpenDBM Meetups](https://aicure.com/opendbm/) that happen around the world. + +## Communities + +### Forum-like groups + +We want to ensure that OpenDBM feels like a community of like-minded researchers and clinicians. Hence, there are a few ways we encourage users to stay involved––and why we encourage you [to join DiME, too!](https://www.dimesociety.org/) diff --git a/docs/website/src/pages/index.js b/docs/website/src/pages/index.js new file mode 100644 index 00000000..9c4b499a --- /dev/null +++ b/docs/website/src/pages/index.js @@ -0,0 +1,495 @@ +import React, {useEffect} from 'react'; +import GitHubButton from 'react-github-btn'; + +import Head from '@docusaurus/Head'; +import useBaseUrl from '@docusaurus/useBaseUrl'; +import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; + +import Layout from '@theme/Layout'; +import CodeBlock from '@theme/CodeBlock'; + +import CrossPlatformSVG from '../../static/img/homepage/cross-platform.svg'; +import {setupDissectionAnimation} from './animations/_dissectionAnimation'; +import {setupHeaderAnimations} from './animations/_headerAnimation'; + +const textContent = { + intro: ` + OpenDBM is a software package that allows for calculation of digital biomarkers from video/audio of a person's + behavior by combining tools to measure behavioral characteristics like facial activity, voice, and movement into a single package for measurement of overall behavior. +

    +Ease of use. OpenDBM is designed for ease of use, expanding the availability of such tools to the wider scientific community. + `, + writtenPython: ` +It using Python language so you can integrate with other biomaker or ML libraries +

    +Many OS platforms, one code. You can focus on building researching medical purpose +and the single codebase can share code across platforms. With OpenDBM, +one team can maintain multiple OS platforms and share a common researching application. + `, + codeExample: ` + from opendbm.facial import FacialActivity + + model = FacialActivity() + + m.fit() + landmark = model.get_landmark() + landmark.mean() + landmark.std() + `, + forResearchers: ` + Through OpenDBM, a user can objectively and sensitively measure behavioral characteristics such as facial activity, vocal acoustics, + characteristics of speech, patterns of movement, and oculomotion.

    + From those behavioral characteristics, they can measure clinically meaningful symptomatology such as emotional expressivity, prosody + of voice, valence of speech, and severity of tremor––among many others. + `, + talks: ` + We’ve recorded some instructional videos (listed and linked to within the documentation) that should help the user get through + common steps such as installation, usage, etc. + `, +}; + +function Heading({text}) { + return

    {text}

    ; +} + +function ActionButton({href, type = 'primary', target, children}) { + return ( + + {children} + + ); +} + +function TextColumn({title, text, moreContent}) { + return ( + <> + +
    + {moreContent} + + ); +} + +function HomeCallToAction() { + return ( + <> + + Get started + + + Learn basics + + + ); +} + +function GitHubStarButton() { + return ( +
    + + Star + +
    + ); +} + +function Section({ + element = 'section', + children, + className, + background = 'light', +}) { + const El = element; + return {children}; +} + +function TwoColumns({columnOne, columnTwo, reverse}) { + return ( +
    +
    + {columnOne} +
    +
    + {columnTwo} +
    +
    + ); +} + +function ScreenRect({className, fill, stroke}) { + return ( + + ); +} + +function LogoAnimation() { + return ( + + OpenDBM logo + + + + + + + + + + + + + + + + ); +} + +function HeaderHero() { + return ( +
    +
    + +
    + + } + columnTwo={ + <> +

    OpenDBM

    +

    Digital Biomaker Library.

    +
    + +
    + + } + /> +
    + ); +} + +function AdvancedBioMaker() { + return ( +
    + + } + columnTwo={} + /> +
    + ); +} + +function WrittenPython() { + return ( +
    + + } + columnTwo={ + {textContent.codeExample} + } + /> +
    + ); +} + +function RichFeatures() { + return ( +
    + + } + columnTwo={ +
    + +
    + } + /> +
    + ); +} + +function VideoContent() { + return ( +
    +
    +
    + + } + columnTwo={ +
    +

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