MIT License

项目介绍

onejgordon/flow-dashboard 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 MIT License 许可证,目前获得 1.7k 个 Star、185 次 Fork。

仓库全名
onejgordon/flow-dashboard
开源许可证
MIT License
Star 数
1.7k
Fork 数
185
未关闭 Issue
51

README 摘要

Flow Dashboard Purpose Flow is a habit tracker and personal data analytics app that lets you keep focus on what matters. Flow owns none of your data. That's yours. If you just want look around or get started with Flow, you can create a free account at http://flowdash.co. To spin up your own instance, or start contributing to this repo, see below. API Documentation The docs are still a work in progress. Check out the…

完整内容见 GitHub 原始 README 或本页 。

常见问题

flow-dashboard 用什么语言开发?

主要使用 Python 编写,采用 MIT License 许可证,目前有 1.7k 个 Star。

flow-dashboard 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 flow-dashboard 的源码?

可以直接克隆仓库:git clone https://github.com/onejgordon/flow-dashboard.git,默认分支为 develop;安装与运行步骤见仓库 README。

flow-dashboard 最近还在维护吗?

仓库最近一次更新为 2024年5月2日,当前有 51 个未关闭 Issue;Star 数为 1.7k,可作为社区活跃度的参考。

README

Flow Dashboard

Build Status Code Climate Coverage Status License: MIT Gitter chat

Purpose

Flow is a habit tracker and personal data analytics app that lets you keep focus on what matters. Flow owns none of your data. That’s yours.

If you just want look around or get started with Flow, you can create a free account at http://flowdash.co.

To spin up your own instance, or start contributing to this repo, see below.

API Documentation

The docs are still a work in progress. Check out the current docs at http://docs.flowdash.apiary.io/#

Setup

To deploy a new instance of Flow, use the following instructions.

Obtain Google App Engine SDK

Download the Cloud SDK from Google. https://cloud.google.com/appengine/downloads

Setup a new Google Cloud project

Visit the Google developer’s console: https://console.developers.google.com/ Create a new project and choose a unique project ID. You will not need a billing account if usage remains within Google’s free tier, which should support low-mid volume use cases.

Set up a gcloud config

gcloud config configurations create [my-flow-config-name]
gcloud config set project [project-id]
gcloud config set account [my email]

To activate this configuration: gcloud config configurations activate [my-flow-config-name].

Fork the repo

Branch or fork this repository into a project directory.

Ensure you have npm and gulp installed.

npm install -g gulp
npm install

Update code configuration

Update the APP_OWNER variable in constants.py. Owner should match the Google account you logged into the console with. This will enable the application to send emails.

Create the following files by copying the templates (keep the original template files, which are used when running tests). For this step you’ll need to create an oauth 2.0 web client ID from the GCP console, as per the instructions in secrets_template.py.

  • secrets.py :: ./settings/secrets_template.py => ./settings/secrets.py

  • client_secrets.js :: ./src/js/constants/client_secrets.templates.js => ./src/js/constants/clients_secrets.js

Run the dev server locally

To avoid conflicts sometimes seen with gcloud and google.cloud python libs it is often helpful to run the dev server in a virtualenv. Make sure dev_appserver.py is in your path.

  • virtualenv env
  • source env/bin/activate
  • pip install -t lib -r requirements.txt
  • pip install -r local.requirements.txt
  • gcloud components update
  • cd scripts
  • ./server.sh (in scripts/) to start the dev server locally.
  • Run gulp in another terminal to build JS etc
  • Visit localhost:8080 to run the app, and localhost:8000 to view the local dev server console.

Deploy

  • cd scripts
  • ./deploy.sh 0-1 to deploy a new version 0-1 and set is as default

If you get a permission denied error on a logs directory during deploy, you may need to run the above command wish sudo.

Visit https://[project-id].appspot.com to see the app live.

Features

  • Daily journal / survey
    • Configurable questions
    • Optional location pickup & mapping
    • Extract @mentions and #tags from configured open-ended responses (auto-suggest)
    • Segment analysis of journals by tag (highlight journal days with/without + show averages)
  • Habit tracking ala habits app
    • With weekly targets
    • Commitments
    • Optional daily targets for ‘countable’ habits
  • Tracking top tasks for each day
    • Analyze tasks completed: on time, late, not completed, on each given day
  • Monthly/year/long-term goals
    • Goal assessment report at end of month
    • Rating for each goal monthly defined
  • Ongoing Projects tracking
    • Track time of each progress increment
    • Link tasks with projects
    • Define labeled milestones
    • View ‘burn-up’ chart of completion progress over time
  • Analysis
    • Show summary charts of all data reported to platform
  • Google Assitant / Home / Facebook Messenger integration for actions like:
    • “How am I doing”
    • “What are my goals for this month”
    • “Mark ‘run’ as complete”
    • “Daily report”
  • Reading widget
    • Show currently-reading articles / books
    • Sync quotes from evernote / Kindle
    • Sync articles from Pocket
    • Mark articles / books as favorites, and add notes
    • Quotes & articles fully searchable
  • Flash card widget for spreadsheet access (e.g. random quotes, excerpts)
  • Export all data to CSV

Integrations

Data source integrations

  • Public Github commits
  • Google Fit - track any activity durations by keyword
  • Evernote - pull excerpts from specified notebooks
  • Pocket - Sync stored articles & add notes
  • Goodreads - Sync currently reading shelf
  • Track any abstract data via REST API

Setup (for separate instance)

All integrations work out of the box on flowdash.co, but if you’re spinning up your own instance, you’ll need to set up each integration you need. See below for specific instructions.

Pocket

Create an app at https://getpocket.com/developer/ and update settings.secrets.POCKET_CONSUMER_KEY

Evernote
  1. Request an API Key at https://dev.evernote.com
  2. Request a webhook at https://dev.evernote.com/support/ pointing to [Your Domain]/api/integrations/evernote/webhook
Google Home

We’ve used API.AI to create an agent that integrates with Google Actions / Assistant / Home. To connect Assistant with a new instance of Flow:

  1. Visit https://api.ai
  2. Update the agent.json configuration file in static/flow-agent
  3. Fill in config params in [Brackets] with your configuration / webhook URLs, etc
  4. Import the agent.json to API.AI
  5. Go to integrations and add and authorize ‘Actions on Google’
  6. Preview the integration using the web preview
Facebook Messenger

The messenger bot lives at https://www.facebook.com/FlowDashboard/

To create a new messenger bot for your own instance of Flow, see the Facebook quickstart: https://developers.facebook.com/docs/messenger-platform/guides/quick-start

BigQuery

(Beta / admin only currently) Push daily panel data to BigQuery for additional analysis, e.g. run regressions with TensorFlow, etc.

Admin Operations Cheatsheet

User data deletion

  • In console run GQL query
  • GQL: SELECT * WHERE __key__ HAS ANCESTOR KEY(User, [user_id])
  • Delete all entities

Contributing

Contributions are welcome! See CONTRIBUTING.md

License

MIT License

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