Metadata-Version: 2.1
Name: pocket-stats
Version: 0.3.1
Summary: Tools for the Pocket reading app https://app.getpocket.com/
Home-page: https://github.com/nlbao/pocket_stats.git
Author: Bao Nguyen
Author-email: nlbao95@gmail.com
License: MIT
Description: [![PyPI version](https://badge.fury.io/py/pocket-stats.svg)](https://badge.fury.io/py/pocket-stats)
        ![build](https://github.com/nlbao/pocket_stats/workflows/build/badge.svg)
        [![codecov](https://codecov.io/gh/nlbao/pocket_stats/branch/master/graph/badge.svg)](https://codecov.io/gh/nlbao/pocket_stats)
        [![Total alerts](https://img.shields.io/lgtm/alerts/g/nlbao/pocket_stats.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/nlbao/pocket_stats/alerts/)
        [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/nlbao/pocket_stats.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/nlbao/pocket_stats/context:python)
        
        # Pocket Stats
        
        A tool to analyze your [Pocket](https://app.getpocket.com/) reading list.
        
        Deployed at https://pocket-stats.nlbao.page .
        
        - [Pocket Stats](#pocket-stats)
          - [Features](#features)
            - [Word Cloud](#word-cloud)
            - [Article Count timeseries](#article-count-timeseries)
            - [Word Count distribution](#word-count-distribution)
            - [Reading Speed & Reading Time](#reading-speed--reading-time)
            - [Top Domains](#top-domains)
            - [Language & Favorite](#language--favorite)
          - [Installation](#installation)
          - [Run web app locally](#run-web-app-locally)
          - [Data querying](#data-querying)
          - [Testing](#testing)
          - [Deployment](#deployment)
          - [Contribute](#contribute)
          - [Authors](#authors)
          - [License](#license)
          - [Acknowledgments](#acknowledgments)
        
        
        ## Features
        ### Word Cloud
        ![word_cloud](https://user-images.githubusercontent.com/4289177/87027187-cca22180-c1aa-11ea-89cb-ae1b91493934.png)
        
        ### Article Count timeseries
        ![article_count](https://user-images.githubusercontent.com/4289177/87027476-38848a00-c1ab-11ea-9115-925dc0660815.png)
        
        ### Word Count distribution
        Stacked histograms
        ![word_count](https://user-images.githubusercontent.com/4289177/87027494-3de1d480-c1ab-11ea-9bfd-ded18cb4025b.png)
        
        ### Reading Speed & Reading Time
        Stacked histograms
        ![reading_time](https://user-images.githubusercontent.com/4289177/87027500-3fab9800-c1ab-11ea-8a57-be4cb7eaf168.png)
        
        ### Top Domains
        Stacked bar charts.
        ![top_domains](https://user-images.githubusercontent.com/4289177/87027511-420df200-c1ab-11ea-85c9-08f08f546caf.png)
        
        ### Language & Favorite
        ![language_favorite](https://user-images.githubusercontent.com/4289177/87027522-463a0f80-c1ab-11ea-8436-352adc72266b.png)
        
        
        ## Installation
        
        Prerequisites:
        * A [Pocket](https://app.getpocket.com/) account.
        * Pocket [consumer key](https://getpocket.com/developer/apps/new).
        * Pocket access token. You can use [fxneumann's OneClickPocket tool](http://reader.fxneumann.de/plugins/oneclickpocket/auth.php) to automate this.
        * Python 3.6+.
        
        You can install using Pip:
        ```bash
            pip3 install pocket-stats
        ```
        
        Or clone this repo:
        ```bash
            git clone https://github.com/nlbao/pocket_stats.git
            cd pocket_stats
            make setup
        ```
        
        
        ## Run web app locally
        
        ```bash
            # Set necessary environment variables:
            export POCKET_STATS_CONSUMER_KEY='<your_pocket_consumer_key>'
            export POCKET_STATS_ACCESS_TOKEN='<your_pocket_access_token>'
               
            # Start the webserver
            gunicorn --workers 2 'pocket_stats.app:server' -b :8050 --reload
            
            # You will see something like this:
            # Dash is running on http://127.0.0.1:8050/
        ```
        Go to http://127.0.0.1:8050/ from your web browser.
        
        
        ## Data querying
        
        ``` python
            from pocket_stats.data import <your_function_names>
        ```
        
        - Count word in all the titles:
        ```python
            >>> count_words_in_title(data)
            Counter({'-': 5, '|': 5, 'python': 3, 'problem': 2, 'strace': 1, 'wow': 1, 'much': 1, 'syscall': 1, 'martin': 1, 'heinz': 1, 'personal': 1, 'website': 1, '&': 1, 'blog': 1, 'call': 1, 'programmer,': 1})
        ```
        
        - Number of words in each article:
        ```python
            >>> get_word_counts(data)
            [2207, 0, 5449, 4721, 3245, 805, 1849, 4087, 0, 538, 5054, 21, 866, 266, 1146, 213, 823, 3551, 787, 0]
        ```
        
        - Reading time of each article:
        ```python
            >>> get_reading_time(data)
            [9.80888888888889, 24.217777777777776, 20.982222222222223, 14.422222222222222, 3.577777777777778, 8.217777777777778, 18.164444444444445, 2.391111111111111, 22.462222222222223, 0.09333333333333334, 3.848888888888889, 1.1822222222222223, 5.093333333333334, 0.9466666666666667, 3.6577777777777776, 15.782222222222222, 3.497777777777778]
        ```
        
        - Number of newly added articles per day:
        ```python
            >>> get_added_time_series(data) 
                        All articles
            2020-07-04             5
            2020-07-03             8
            2020-07-02             2
            2020-07-01             5
        ```
        
        - Number of newly archived articles per day:
        ```python
            >>> get_archived_time_series(data)
                        Archived articles
            2020-07-04             2
        ```
        
        - Number of articles per domain:
        ```python
            >>> get_domain_counts(data)
            Counter({'kalzumeus.com': 3, 'bogleheads.org': 2, 'github.io': 2, 'brendangregg.com': 1, 'martinheinz.dev': 1, 'awealthofcommonsense.com': 1, 'jlcollinsnh.com': 1, 'callan.com': 1, 'engineerseekingfire.com': 1, 'arxiv.org': 1, 'popularmechanics.com': 1, 'dolpages.com': 1, 'economist.com': 1, 'romantomjak.com': 1, 'digitalocean.com': 1, 'deepnote.com': 1})
        ```
        
        - Number of articles per language:
        ```python
            >>> get_language_counts(data)
            Counter({'en': 17, 'unknown': 3})
        ```
        
        - Number of favorite articles and its percent:
        ```python
            >>> get_favorite_count(data)
            {'count': 2, 'percent': 0.1}
        ```
        
        ## Testing
        ```bash
            make check
        ```
        
        ## Deployment
        You can deploy the `app.py` as a webserver.
        
        Example: https://dash.plotly.com/deployment.
        
        
        ## Contribute
        Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
        
        
        ## Authors
        - [Bao Nguyen](https://github.com/nlbao).
        - [contributors](https://github.com/nlbao/pocket_stats/contributors) who participated in this project.
        
        
        ## License
        MIT License - see the [LICENSE.md](LICENSE) file for details.
        
        
        ## Acknowledgments
        - Pocket Python client: https://github.com/rakanalh/pocket-api
        - fxneumann's OneClickPocket tool: http://reader.fxneumann.de/plugins/oneclickpocket/auth.php
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
