{
    "info": {
        "author": "Henry Post",
        "author_email": "HenryFBP@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "# What is this?\n\nThis is a Python Twitter \"Fire event\" scraper/listener.\n\nIt is an application that will listen for or scrape data relating to house fires (Chicago specifically) in order to analyze how people use Twitter as a platform to report and talk about disasters.\n\n# How will this use Twitter data?\n\nThis application allows one to analyze, collect, and collate data about house fires and other disasters on Twitter.\n\n# How do I install this?\n\n## Dependencies\n\n- [Python 3 or greater](https://www.python.org/downloads/)\n- [MongoDB](https://www.mongodb.com/)\n\n## Steps\n\n```\npip install twitter-fire-scraper\n```\n\nIf it is already installed and a newer version is available, you can update with:\n\n```\npip install twitter-fire-scraper --upgrade\n```\n\n## Notes\n\nThis README assumes all commands take place in the same folder as this README file.\n\n## Examples\n\nExamples of how to use this package can be found in [this examples folder](python_example_code) and also in [our internal test suites](src/twitter_fire_scraper/tests).\n\n These should give you a good idea of how to use our scraper, and can be considered a 'living standard' of how our code works.\n\n<!-- TODO write a wiki!!! -->\n\n ## Setting up your secrets\n\nThis secrets file is only used for the demos. When using this library, it is up to you to manage how you store and retrieve your API keys.\n\nMore specifically, if the `Scraper` object is not initialized with a `TwitterAuthentication` object, it will search for a file called `~/.twitterfirescraper/secrets.json` for API keys as a fallback.\n\nThis is to make the demonstrations work and not recommended usage when using the library.\n\nA note: These are called 'secrets' for a reason. Don't ever stage or commit `secrets.json`, please.\n\n### Twitter secrets\n\nYou will need:\n\n- A twitter developer account & API key\n\n  - A consumer API key (goes into `\"consumer_key\"`)\n  - A consumer API secret key (goes into `\"consumer_secret\"`)\n  - An access token (goes into `\"access_token\"`)\n  - An access secret (goes into `\"access_token_secret\"`)\n\n- A twitter handle you're authorized to make queries on behalf of\n\nYou are to put these into a file called `secrets.json` in your home folder under `.twitterfirescraper/` (For example, mine is `C:/Users/henryfbp/.twitterfirescraper/secrets.json`.)\n\nAn example file is provided for you to base your file off of, called `secrets.example.json`.\n\n### MongoDB secrets\n\nThe demos in our code connect to the following mongodb address:\n\n```\nmongodb://localhost:27017/\n```\n\n## Setting up a database\n\nFor the database, we have chosen to use MongoDB since twitter data is stored in JSON and MongoDB is very well-suited for storing JSON data.\n\nFollow [this tutorial](https://docs.mongodb.com/v3.2/tutorial/) on how to install MongoDB.\n\n## Developer dependencies\n\n- Same as above.\n- [Ruby](https://www.ruby-lang.org/en/), used for running scripts to build and test Python wheels.\n\n### Setting up Pipenv\n\nYou can install Pipenv by executing\n\n```\npip install pipenv\n```\n\nYou can then install all packages (including dev packages like `twisted`) in this folder's `./Pipenv` by executing\n\n```\npipenv install --dev\n```\n\nThen, you can run tests by executing\n\n```\npipenv run python /src/twitter-fire-scraper/tests/test/__main__.py\n```\n\n## Running a functional demo\n\nInside this folder, there are two files called `Run-Demo.bat` and `Run-Demo.ps1`. You can run either of those to start a demo intended for presentation purposes.\n\n# Starting the Web API\n\nThere is a web API that is included with the `twitter-fire-scraper` package.\n\nIt exposes functions of the `twitter-fire-scraper` over HTTP. <!-- TODO Use HTTPS! -->\n\n## From source\n\nYou can run the web API from the live source code with `pipenv run python twitter_fire_scraper/app.py`.\n\n## Using PyPI\n\nYou can run the Web API after installing it with `pip` by typing\n\n```\npython -m twitter_fire_scraper.app\n```\n\n# Running tests\n\nYou can execute `pipenv run python fire-scraper/tests/<TESTNAME>.py` to run a test.\n\nTo run all tests, execute `pipenv run python fire-scraper/tests/test/__init__.py` and all tests will run.\n\nAlternatively, if you have this package installed, run\n\n```\npython -m twitter_fire_scraper.tests.test\n```\n\nto run the package's test module.\n\n# What was this adapted from?\n\nA movie sentiment analysis project by [Raul](https://github.com/raaraa/), the repository [is here](https://github.com/raaraa/movie-twitter-sentiment) and a live site [is here](https://movie-tweet-sentiment.herokuapp.com/).\n\nCommit `2fb844e8c081c1dc31cfb4760e3a80cefb6a0eee` was used.\n\n# There's got to be a better way to run this than from the command line!\n\nThere is! Use an IDE (like PyCharm, which I use) that preferably integrates with Python to show you import errors, syntax errors, etc. Go google \"Python IDE\" and pick one you like.\n\n# Adding the location of Venv to your IDE\n\n<!-- TODO this section needs some polish! -->\n\n In order to run our tests through an IDE, we need to let our IDE know where venv was installed. I will explain this through Pycharm, but the method should be the same for any IDE.\n\nIf running `python` in windows powershell runs Python 3 (or you only have Python 3 installed), run `python -m pipenv --venv`\n\nThis will yield the location of the python 3 Virtual Environment (It should be something like `C:\\Users\\Your Name\\...\\.virtualenvs\\...`). Copy this path and open Pycharm.\n\nGo into `files -> settings` and expand the `Project: fire-scraper-twitter`. In the drop down, go into `Project Interpreter`. Go to the top and click the gear and select `add`, as we will be adding a new interpreter.\n\nSelect `Existing environment` and click the three dots to the right. Copy your path at the top, then OK everything.\n\nThere! Done! Now we can run our tests from inside our IDE.\n\n# Generating/uploading distribution archives\n\nIf you want to distribute this source code as a Python Wheel, follow [this guide](https://packaging.python.org/tutorials/packaging-projects/).\n\nThere are a series of [Ruby](https://www.ruby-lang.org/en/) scripts (cross-platform!) that handle building, cleaning, uploading.\n\nMake sure you have the `twine` package installed for Python.\n\n## Building\n\n```\nruby build.rb\n```\n\n## Cleaning\n\n```\nruby clean.rb\n```\n\n## Uploading\n\nYou'll need to bump the version in `./VERSION` when uploading a new version.\n\n### To the test site (test.pypi.org)\n\n```\nruby upload.rb --test\n```\n\n### To the real site (pypi.org)\n\n```\nruby upload.rb --deploy\n```\n\n## Testing download and install\n\nThere are a couple ways for you to test how a user would experience installing this package.\n\nThere are three Ruby scripts here, each doing what its name suggests.\n\n`test-localwheel-install.rb` will install and test the latest WHL file generated by `build.rb`.\n\n`test-testpypi-install.rb` will install and test the TEST PyPI's `twitter-fire-scraper` package.\n\n`test-realpypi-install.rb` will install and test the offical PyPI's `twitter-fire-scraper` package.\n\n\n",
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