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babish-db-0.0.1
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
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تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Data with Babish DB
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | babish-db-0.0.1 |
| نام | babish-db |
| نسخه کتابخانه | 0.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | jklewa |
| ایمیل نویسنده | jklewa@gmail.com |
| آدرس صفحه اصلی | https://github.com/jklewa/data-with-babish |
| آدرس اینترنتی | https://pypi.org/project/babish-db/ |
| مجوز | GPLv3+ |
# _Data with Babish_
This project aims to analyze the recipes of the popular YouTube channel [Binging with Babish](http://bingingwithbabish.com) and convert them into beautiful data.
## Visualizations
* [jklewa.github.io/data-with-babish-example](https://jklewa.github.io/data-with-babish-example/) ([repo](https://github.com/jklewa/data-with-babish-example)) An interactive episode data viewer
## Datasets
* [ibdb.episodes.json](datasets/ibdb.episodes.json) ([docs](#ibdbepisodesjson)) Episodes and related guests, recipes and inspiration
* [ibdb.guests.json](datasets/ibdb.guests.json) ([docs](#ibdbguestsjson)) Guests and their appearances
* [ibdb.recipes.json](datasets/ibdb.recipes.json) ([docs](#ibdbrecipesjson)) Recipes and their origin episode
* [ibdb.references.json](datasets/ibdb.references.json) ([docs](#ibdbreferencesjson)) TV Shows, Movies, etc. and when they were referenced
* [ibdb.shows.json](datasets/ibdb.shows.json) ([docs](#ibdbshowsjson)) Babish's Shows and their episode lists
* [babish.json](datasets/babish.json) ([docs](#babishjson)) Parsed recipe ingredients, grouped by episode (Deprecated)
### [ibdb.episodes.json](datasets/ibdb.episodes.json)
**Episodes** and related guests, recipes and inspiration in the format:
```python
[
{
"episode_id": "epid",
"name": "Episode Name",
"published_date": "YYYY-MM-DD",
"youtube_link": "https://www.youtube.com/watch?v=...",
"official_link": "https://www.bingingwithbabish.com/recipes/...",
"image_link": "https://preview.image.host/image.png",
"related": {
"show": {
"show_id": 1,
"name": "Binging with Babish"
},
"guests": [
{
"guest_id": 1,
"name": "Guest Name"
}
],
"inspired_by": [
{
"reference_id": 1,
"type": "tv_show|movie|youtube_channel|video_game|other",
"name": "Reference Name",
"description": "A description of the reference.",
"external_link": "https://link.to.more/"
}
],
"recipes": [
{
"recipe_id": 1,
"name": "Recipe Name",
"raw_ingredient_list": "Ingedient 1\nIngredient 2\n...",
"raw_procedure": "Step 1.\nStep 2.\n...",
"ingredient_list": [
[
1.0, # quantity
"tablespoon", # unit
"Butter", # name
"1 tablespoon butter" # raw text from recipe
],
# ...
]
}
]
}
},
# ...
]
```
### [ibdb.guests.json](datasets/ibdb.guests.json)
**Guests** and their appearances in the format:
```python
[
{
"guest_id": 1,
"name": "Guest Name",
"appearances": [
{
"episode_id": "epid",
"name": "Episode Name",
"published_date": "YYYY-MM-DD",
"youtube_link": "https://www.youtube.com/watch?v=...",
"official_link": "https://www.bingingwithbabish.com/recipes/...",
"image_link": "https://preview.image.host/image.png"
}
]
},
# ...
]
```
### [ibdb.recipes.json](datasets/ibdb.recipes.json)
**Recipes** and their origin episode in the format:
```python
[
{
"recipe_id": 1,
"name": "Recipe Name",
"raw_ingredient_list": "Ingedient 1\nIngredient 2\n...",
"raw_procedure": "Step 1.\nStep 2.\n...",
"source": {
"episode_id": "epid",
"name": "Episode Name",
"published_date": "YYYY-MM-DD",
"youtube_link": "https://www.youtube.com/watch?v=...",
"official_link": "https://www.bingingwithbabish.com/recipes/...",
"image_link": "https://preview.image.host/image.png"
},
"ingredient_list": [
[
1.0, # quantity
"tablespoon", # unit
"Butter", # name
"1 tablespoon butter" # raw text from recipe
],
# ...
]
},
# ...
]
```
### [ibdb.references.json](datasets/ibdb.references.json)
TV Shows, Movies, etc. **References** and when they were referenced in the format:
```python
[
{
"reference_id": 1,
"type": "tv_show|movie|youtube_channel|video_game|other",
"name": "Reference Name",
"description": "A description of the reference.",
"external_link": "https://link.to.more/",
"episodes_inspired": [
{
"episode_id": "epid",
"name": "Episode Name",
"published_date": "YYYY-MM-DD",
"youtube_link": "https://www.youtube.com/watch?v=...",
"official_link": "https://www.bingingwithbabish.com/recipes/...",
"image_link": "https://preview.image.host/image.png"
}
]
},
# ...
]
```
### [ibdb.shows.json](datasets/ibdb.shows.json)
**Babish's Shows** and their episode lists in the format:
```python
[
{
"show_id": 1,
"name": "Binging with Babish",
"episodes": [
{
"episode_id": "epid",
"name": "Episode Name",
"published_date": "YYYY-MM-DD",
"youtube_link": "https://www.youtube.com/watch?v=...",
"official_link": "https://www.bingingwithbabish.com/recipes/...",
"image_link": "https://preview.image.host/image.png"
}
]
},
# ...
]
```
### [babish.json](datasets/babish.json)
**(Deprecated)**
Contains ingredients from [BWB Recipes](http://bingingwithbabish.com/recipes) in the format:
```python
[
{
"episode_name": "Episode Name",
"episode_link": "https://www.bingingwithbabish.com/recipes/...",
"youtube_link": "https://www.youtube.com/watch?v=...",
"published": "YYYY-MM-DD",
"recipes": [
{
"method": "Method Name (from Episode Name)",
"ingredients": [
[
1.0, # quantity
"tablespoon", # unit
"Butter", # name
"1 tablespoon butter" # raw text from recipe
],
# ...
]
},
# ...
]
},
# ...
]
```
### Resources
* Regex Samples: https://regexr.com/3p7h8 https://regexr.com/3p6pq
* Handling Unicode Fractions: https://stackoverflow.com/questions/1263796/how-do-i-convert-unicode-characters-to-floats-in-python
## Contributing
### Local Development
Required tools: **Docker, Docker Compose**
1. Build `docker-compose build`
2. Run DB and API `docker-compose up -d`
3. Browse http://localhost:5000/
4. Update DB and datasets `docker-compose exec ibdb sync update export`
5. See other commands `docker-compose exec ibdb --help`
This will use [populate_db.py](ibdb/populate_db.py) to scrape and upsert episodes into the DB and [export.py](ibdb/export.py) to generate new [datasets/](datasets) from the DB's contents.
You can also explore the original [populate_babish_json.py](ibdb/populate_babish_json.py) and [Jupyter Notebooks](http://ipython.org/notebook.html)
1. `cd notebooks/`
2. Start Jupyter on [http://localhost:8888](http://localhost:8888) `jupyter notebook`
3. Open `Babish Recipe Extract.ipynb` or `Babish Data Analysis.ipynb`
**NOTE:** Be aware that `Babish Recipe Extract.ipynb` will make **LOTS** of network calls to the official bingingwithbabish.com website. Calls are cached and rate limited but please be very considerate and only run them if absolutely necessary.
### Tests
Tests covering [recipe_parser.py](ibdb/recipe_parser.py) are located in the [tests/](tests/) directory and can be run using [pytest](https://docs.pytest.org/en/latest/).
Required tools: **Python 3.8**
1. Install packages `pip install -r requirements.txt`
2. Run tests `python -m pytest`
### Docs
* [Code of Conduct](CODE_OF_CONDUCT.md), [GNU General Public License v3.0](LICENSE)
نیازمندی
| مقدار | نام |
|---|---|
| - | beautifulsoup4 |
| - | click |
| - | flask |
| - | flask-migrate |
| - | flask-sqlalchemy |
| - | furl |
| - | html5lib |
| - | measurement |
| - | psycopg2-binary |
| - | pyfunctional |
| - | requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl babish-db-0.0.1:
pip install babish-db-0.0.1.whl
نصب پکیج tar.gz babish-db-0.0.1:
pip install babish-db-0.0.1.tar.gz