Metadata-Version: 2.1
Name: tencent
Version: 1.0.3
Summary: Contributed API Collections of Tencent Product and Services, such as Wechat Public Account Automatic Reply, etc.
Author-email: dingo0927@126.com
Project-URL: repository, https://github.com/AI-Hub-Admin/tencent
Project-URL: homepage, http://www.deepnlp.org/blog?category=tencent
Keywords: tencent,Wechat,QQ
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.4
Description-Content-Type: text/markdown
Requires-Dist: FinanceAgent >=0.0.2
Requires-Dist: requests >=2.17.0
Provides-Extra: dev
Requires-Dist: flask >=2.0.0 ; extra == 'dev'
Provides-Extra: test
Requires-Dist: flask >=2.0.0 ; extra == 'test'

# package: tencent

*** IMPORTANT LEGAL DISCLAIMER ***

"tencent" python package is not affiliated, endorsed, or vetted by Tencent Corporation. It's an open-source pakcage and crowd contributed API Wrapper of public available tencent products and services to help devlopers deploy and use these product or services easier. This package name is originally intended to serve as "ten cent(s)" or "one dime", quoted from one ex-Tencent-er.


Contributing API Wrapper to tencent pypi package, Visit Github https://github.com/AI-Hub-Admin/tencent and follow the guidelines on forum http://www.deepnlp.org/blog?category=tencent


## Public Available API Wrappers

|  API NAME  | FUNCTIONS |  Status  |
|  -------- | --------  | --------  |
|  greeting  |  Greeting when import package |   Prod |
|  stock_price  |  Fetch Tencent Stock Price (HKEX: 700) Realtime Quote |   Prod     |
|  TBD  |  Wechat Public Account Backend Automatic Reply  |   Dev  |



## Install
```
pip install tencent
```




## Usage

### Package Import Greeting
```
import tencent

tencent.greeting()

```
![Alt text](https://github.com/AI-Hub-Admin/tencent/blob/main/src/tencent/data/greeting/greeting_ponyma.jpg)


* note: if you want to display the greeting, just set variable START_SCREEN_ENABLE in constants.py to False



### Tencent(HKEX: 700) Stock Price Quote

```
import tencent

stock_dict = tencent.api("stock_price")
keys=["symbol", "avg_price", "high", "low", "change", "update_time", "market_capitalization", "source"]
print ("#### Tencent Stock Price #### ")
for key in keys:
    if key in stock_dict:
        print (key + "|" + stock_dict[key])
    else:
    	print (key + "|" + "")
```

Output

```
    symbol|700
    avg_price|420.400 HKD
    high|424.600 HKD
    low|412.600 HKD
    change|+3.400
    update_time|16 Oct 2024 09:36
    market_capitalization|3,901.15 B HKD
    source|HKEX, https://www.hkex.com.hk/Market-Data/Securities-Prices/Equities/Equities-Quote?sym=700&sc_lang=en
```


### Wechat Public Account Backend Automatic Reply 
TBD









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