updated README, duh.

This commit is contained in:
Tom Meagher
2013-10-30 13:40:32 -04:00
parent 5eb83e2986
commit 912b3634d0

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@@ -42,9 +42,9 @@ The ORDER variable represents the Markov index, which is a measure of associativ
## Debugging
You can also turn off the publication of tweets and skip the random number generation if you want to test the script to debug it.
If you want to test the script or to debug the tweet generation, you can skip the random number generation and not publish the resulting tweets to Twitter.
First, adjust the DEBUG variable in `local_settings.py`.
First, adjust the `DEBUG` variable in `local_settings.py`.
```
DEBUG = True
@@ -52,6 +52,9 @@ DEBUG = True
After that, commit the change and `git push heroku master`. Then run the command `heroku run worker` on the command line and watch what happens.
If you want to avoid hitting the Twitter API and instead want to use a static text file, you can do that. First, create a text file containing a Python list of quote-wrapped tweets. Then set the `STATIC_TEST` variable to `True`. Finally, specify the name of text file using the `TEST_SOURCE` variable in `local_settings.py`
## Credit
As I said, this is based almost entirely on [@harrisj's](https://twitter.com/harrisj) [iron_ebooks](https://github.com/harrisj/iron_ebooks/). He created it in Ruby, and I wanted to port it to Python. All the credit goes to him.
As a result, all of the blame for clunky implementation in Python fall on me. If you see ways to improve the code, please fork it and send a pull request, or file an issue for me and I'll address it.