### ex3-1 ###

>>> "Hello World!".upper()		# 使用字串物件 "Hello World!" 的 upper() 方法，將字串轉成大寫

>>> "Hello World!".find('r')		# find() 方法尋找 'b' 的位置 (從 0 開始)

>>> "Hello World!".replace('r', 'u')	# replace() 方法將所有的 'r' 取代成 'b'



### ex3-2 ###

>>> 111 + 111			# 整數物件相加

>>> "111" + "111"		# 字串物件串聯



### ex3-3 ###

>>> 111 + "111"			# 不同型別的資料相加發生錯誤



### ex3-4 ###

>>> n1 = 123456789		# 將整數物件 123456789 指派給變數 n1
>>> n2 = 987654321		# 將整數物件 987654321 指派給變數 n2
>>> n1 + n2			# 實際上是 123456789 + 987654321



### ex3-5 ###

>>> print("abc")		# 顯示字串物件

>>> print("abc".upper())	# 顯示字串物件.方法的執行結果

>>> print(111 + 111)		# 顯示整數物件運算的結果



### ex3-6 ###

>>> import time			# 匯入時間相關的 time 模組
>>> time.sleep(3)		# 執行 time 模組的 sleep() 函式，暫停 3 秒



>>> from time import sleep	# 從 time 模組裡匯入 sleep() 函式
>>> sleep(5)			# 執行 sleep() 函式，暫停 5 秒



### ex3-7 ###

# 暫停 5 秒後，印出 Hello World! 
from time import sleep
sleep(5)
print("Hello World!")



### ex3-8 (Lab3-2-take_photo.py) ####

import picamera
import time

camera = picamera.PiCamera()
time.sleep(2)			# 暫停 2 秒
camera.rotation = 180	
camera.capture('Lab3-2-take_photo.jpg')



### ex3-9 ####

# 安裝 leafpad
$ sudo apt-get update
$ sudo apt-get install leafpad

# 背景執行 leafpad
$ leafpad &



### ex3-10 (Lab3-3-low_light.py) ####

# 參考文件：https://picamera.readthedocs.io/en/release-1.13/recipes1.html

import picamera
import time
from fractions import Fraction		# 匯入分數函數 Fraction()

camera = picamera.PiCamera() 
camera.resolution = (640, 480)
camera.framerate = Fraction(1, 6)
camera.shutter_speed = 6000000
camera.iso = 800 
time.sleep(3)
camera.exposure_mode = 'off'
camera.rotation = 180
camera.capture('Lab3-3-low_light.jpg')



### ex3-11 (Lab3-4-record_video.py) ####

# 參考文件：https://picamera.readthedocs.io/en/release-1.13/recipes1.html

import picamera

camera = picamera.PiCamera()
camera.rotation = 180
camera.start_recording('Lab2-4-record_video.h264')
camera.wait_recording(3)
camera.stop_recording()



### ex3-12 ####

# 參考文件：https://picamera.readthedocs.io/en/release-1.13/recipes1.html

import picamera
import time
import datetime as dt

camera = picamera.PiCamera()
time.sleep(2)                   # 暫停 2 秒
camera.rotation = 180
camera.annotate_background = picamera.Color('black')
camera.annotate_text = dt.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
camera.capture('ex3-12-photo_adddate.jpg')



### ex3-13 ####

imagga demo：https://imagga.com/auto-tagging-demo
圖檔網址：https://images.theconversation.com/files/227374/original/file-20180712-27021-7iamol.jpg?ixlib=rb-1.1.0&q=45&auto=format&w=1200&h=900.0&fit=crop



### ex3-14 ####

# 註冊與認證
https://imagga.com/auth/signup

# 取得 Authorization
https://imagga.com/profile/dashboard



### ex3-15 (Lab3-5-imagga_tag_file_url.py) ####

import requests

url = "https://api.imagga.com/v2/tags"

querystring = {"image_url":"https://images.theconversation.com/files/227374/original/file-20180712-27021-7iamol.jpg?ixlib=rb-1.1.0&q=45&auto=format&w=1200&h=900.0&fit=crop","version":"2"}

headers = {
    'accept': "application/json",
    'authorization': "Basic YWNjXzA4NmFhNDhlNmU1ODY0YTpmZjk1MTYwYzA5MDA2MzI0MjEwNzcxMTBhZmI0MzkxNQ=="
    }

response = requests.request("GET", url, headers=headers, params=querystring)
print(response.text)



### ex3-16 ####

>>> string = "52python"			# 字串容器：由字元組成

>>> tuple = (1, '2', 3)			# tuple 容器：由資料物件組成

>>> list = [1, '2', 3]			# 串列容器：由資料物件組成

>>> set = {1, '2', 3}			# 集合容器：由資料物件組成

>>> dick = {'A':1, 'B':'2', 'C':3}	# 字典容器：由資料物件組成，以鍵：值表示



### ex3-17 ####

{"result":{"tags":[{"confidence":100,"tag":{"en":"banana"}},{"confidence":70.7407455444336,"tag":{"en":"edible fruit"}},{"confidence":68.0829010009766,"tag":{"en":"fruit"}},{"confidence":67.4682540893555,"tag":{"en":"plant"}},{"confidence":58.7835159301758,"tag":{"en":"produce"}},{"confidence":45.3667984008789,"tag":{"en":"food"}},{"confidence":28.9219436645508,"tag":{"en":"tropical"}},{"confidence":27.789644241333,"tag":{"en":"yellow"}},{"confidence":25.0503311157227,"tag":{"en":"summer"}},{"confidence":24.5122184753418,"tag":{"en":"close"}},{"confidence":24.0958213806152,"tag":{"en":"leaf"}},{"confidence":23.8083343505859,"tag":{"en":"flower"}},{"confidence":23.4466819763184,"tag":{"en":"garden"}},{"confidence":21.5454769134521,"tag":{"en":"fresh"}},{"confidence":20.102876663208,"tag":{"en":"leaves"}},{"confidence":19.2816123962402,"tag":{"en":"agriculture"}},{"confidence":19.0914440155029,"tag":{"en":"exotic"}},{"confidence":18.7150115966797,"tag":{"en":"natural"}},{"confidence":18.2442874908447,"tag":{"en":"healthy"}},{"confidence":17.0388431549072,"tag":{"en":"tree"}},{"confidence":16.477466583252,"tag":{"en":"blossom"}},{"confidence":15.8062028884888,"tag":{"en":"growth"}},{"confidence":15.2150297164917,"tag":{"en":"flora"}},{"confidence":14.9636716842651,"tag":{"en":"palm"}},{"confidence":14.894944190979,"tag":{"en":"botany"}},{"confidence":14.4908647537231,"tag":{"en":"ripe"}},{"confidence":14.2599868774414,"tag":{"en":"organic"}},{"confidence":13.8874826431274,"tag":{"en":"color"}},{"confidence":13.6671533584595,"tag":{"en":"branch"}},{"confidence":13.4594030380249,"tag":{"en":"closeup"}},{"confidence":13.4111337661743,"tag":{"en":"nutrition"}},{"confidence":13.2497234344482,"tag":{"en":"botanical"}},{"confidence":13.0924596786499,"tag":{"en":"bunch"}},{"confidence":12.4703330993652,"tag":{"en":"raw"}},{"confidence":12.103856086731,"tag":{"en":"sky"}},{"confidence":12.1036653518677,"tag":{"en":"diet"}},{"confidence":12.0697355270386,"tag":{"en":"stem"}},{"confidence":12.0184488296509,"tag":{"en":"petal"}},{"confidence":11.756932258606,"tag":{"en":"spring"}},{"confidence":11.7392158508301,"tag":{"en":"vegetable"}},{"confidence":11.629864692688,"tag":{"en":"freshness"}},{"confidence":11.6075057983398,"tag":{"en":"sunflower"}},{"confidence":11.5850172042847,"tag":{"en":"farm"}},{"confidence":11.4244832992554,"tag":{"en":"bright"}},{"confidence":11.289831161499,"tag":{"en":"flowers"}},{"confidence":11.1684703826904,"tag":{"en":"bloom"}},{"confidence":11.0539417266846,"tag":{"en":"sweet"}},{"confidence":10.7262706756592,"tag":{"en":"orange"}},{"confidence":10.5627307891846,"tag":{"en":"rural"}},{"confidence":10.1935625076294,"tag":{"en":"floral"}},{"confidence":10.188437461853,"tag":{"en":"plants"}},{"confidence":10.0201654434204,"tag":{"en":"colorful"}},{"confidence":9.79357528686523,"tag":{"en":"pineapple"}},{"confidence":9.69699859619141,"tag":{"en":"outdoors"}},{"confidence":9.64854145050049,"tag":{"en":"sun"}},{"confidence":9.34008979797363,"tag":{"en":"season"}},{"confidence":9.18884086608887,"tag":{"en":"field"}},{"confidence":9.14876174926758,"tag":{"en":"travel"}},{"confidence":9.14805793762207,"tag":{"en":"island"}},{"confidence":8.46874141693115,"tag":{"en":"juice"}},{"confidence":8.44973087310791,"tag":{"en":"crop"}},{"confidence":8.41209030151367,"tag":{"en":"seed"}},{"confidence":8.38391780853271,"tag":{"en":"plantain"}},{"confidence":8.32637596130371,"tag":{"en":"health"}},{"confidence":8.03243827819824,"tag":{"en":"vegetarian"}},{"confidence":7.86875581741333,"tag":{"en":"vibrant"}},{"confidence":7.83874034881592,"tag":{"en":"day"}},{"confidence":7.82537746429443,"tag":{"en":"forest"}},{"confidence":7.60729122161865,"tag":{"en":"petals"}},{"confidence":7.4281849861145,"tag":{"en":"landscape"}},{"confidence":7.31941938400269,"tag":{"en":"object"}},{"confidence":7.31344223022461,"tag":{"en":"vitamin"}},{"confidence":7.26892566680908,"tag":{"en":"juicy"}},{"confidence":7.24693441390991,"tag":{"en":"refreshment"}},{"confidence":7.23603534698486,"tag":{"en":"detail"}},{"confidence":7.1113805770874,"tag":{"en":"sunlight"}},{"confidence":7.10690259933472,"tag":{"en":"grass"}},{"confidence":7.04676055908203,"tag":{"en":"dessert"}},{"confidence":7.0278787612915,"tag":{"en":"life"}}]},"status":{"text":"","type":"success"}}



### ex3-18 ####

# Online JSON Viewer
http://jsonviewer.stack.hu/



### ex3-19 (Lab3-6.py) ####

import requests
import json

url = "https://api.imagga.com/v2/tags"

querystring = {"image_url":"https://images.theconversation.com/files/227374/original/file-20180712-27021-7iamol.jpg?ixlib=rb-1.1.0&q=45&auto=format&w=1200&h=900.0&fit=crop","version":"2"}

headers = {
    'accept': "application/json",
    'authorization': "Basic YWNjXzA4NmFhNDhlNmU1ODY0YTpmZjk1MTYwYzA5MDA2MzI0MjEwNzcxMTBhZmI0MzkxNQ=="
    }

response = requests.request("GET", url, headers=headers, params=querystring)
data = json.loads(response.text)
print(data)



### ex3-20 (接續 Lab3-6.py，執行下的結果) ####

#  索引 JSON 
>>> print(data["result"])

>>> print(data["result"]["tags"])

>>> print(data["result"]["tags"][0])

>>> print(data["result"]["tags"][0]["tag"])

>>> print(data["result"]["tags"][0]["tag"]["en"])



### ex3-21 (Lab3-7-imagga_tag_file_url.py) ####

import requests
import json

url = "https://api.imagga.com/v2/tags"

querystring = {"image_url":"https://images.theconversation.com/files/227374/original/file-20180712-27021-7iamol.jpg?ixlib=rb-1.1.0&q=45&auto=format&w=1200&h=900.0&fit=crop","version":"2"}

headers = {
    'accept': "application/json",
    'authorization': "Basic YWNjXzA4NmFhNDhlNmU1ODY0YTpmZjk1MTYwYzA5MDA2MzI0MjEwNzcxMTBhZmI0MzkxNQ=="
    }

response = requests.request("GET", url, headers=headers, params=querystring)
data = json.loads(response.text)
tag = data["result"]["tags"][0]["tag"]["en"]
print("Get tag... ")
print("<< " + tag + " >>")



### ex3-22 (Lab3-8-imagga_tag_file_url.py) ####

import requests
import json

api_key = 'acc_086aa48e6e5864a'
api_secret = 'ff95160c0900632421077110afb43915'
image_path = './exper3-2/Lab3-2-take_photo.jpg'

response_post = requests.post(
    'https://api.imagga.com/v2/uploads',
    auth = (api_key, api_secret),
    files = {'image': open(image_path, 'rb')})

data_post = response_post.json()
querystring = data_post["result"]["upload_id"]
print(querystring)

response_get = requests.get(
   'https://api.imagga.com/v2/tags?image_upload_id=' + querystring,
   auth=(api_key, api_secret))

data_get = json.loads(response_get.text)
tag = data_get["result"]["tags"][0]["tag"]["en"]
print("Get tag... ")
print("<< " + tag + " >>")