jd-assistant | Jingdong Buying Assistant : Including login
kandi X-RAY | jd-assistant Summary
kandi X-RAY | jd-assistant Summary
jd-assistant is a Python library. jd-assistant has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
Jingdong Buying Assistant: Including login, query product inventory/price, add/clear shopping cart, snap up product (order), query order and other functions
Jingdong Buying Assistant: Including login, query product inventory/price, add/clear shopping cart, snap up product (order), query order and other functions
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Quality
Security
License
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Support
jd-assistant has a medium active ecosystem.
It has 4909 star(s) with 1919 fork(s). There are 108 watchers for this library.
It had no major release in the last 6 months.
There are 47 open issues and 156 have been closed. On average issues are closed in 114 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of jd-assistant is current.
Quality
jd-assistant has 0 bugs and 0 code smells.
Security
jd-assistant has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
jd-assistant code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
jd-assistant is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
jd-assistant releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
jd-assistant saves you 572 person hours of effort in developing the same functionality from scratch.
It has 1336 lines of code, 75 functions and 11 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed jd-assistant and discovered the below as its top functions. This is intended to give you an instant insight into jd-assistant implemented functionality, and help decide if they suit your requirements.
- Get order info
- Return a string representation of a dictionary
- Get the value of a tag
- Get configuration value
- Get multiple item stock orders
- Parse sku_ids
- Splits the area id
- Parse a JSON string
- Login by username
- Open an image
- Retrieve authentication code
- Decorator to log a login
- Login by QR code
- Submit order by time
- Execute seckill by time
- Get area by id
- Make a reserve
- Get price for a given item
- Configure the logger
- Load cookies
- Get area by id
- Check if item is removed
- Clear all items from cart
- Reserve a buy item
- Tries to buy item in stock order
- Login by QR code
- Prints an area list
Get all kandi verified functions for this library.
jd-assistant Key Features
No Key Features are available at this moment for jd-assistant.
jd-assistant Examples and Code Snippets
Community Discussions
No Community Discussions are available at this moment for jd-assistant.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install jd-assistant
You can download it from GitHub.
You can use jd-assistant like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use jd-assistant like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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