Implementation of search function for google.com and amazon.com (#20)

* Update dependencies

* Import new libraries for google search

* Implement simple google search function

* Global variable

* Rename main file

* Rename main file

* Add functions to do Google searches

* Remove unnecessary import

* Implement Amazon search for labels and colors

* Ops forgot to comment out test stuff

vision-env/src/google_search.py

@@ -0,0 +1,18 @@
+import webbrowser
+
+try:
+    from googlesearch import search
+except ImportError:
+    print("No module named 'google' found")
+
+#search_tm = ["never", "gonna", "give", "you", "up"]
+
+def google_search(search_terms):
+    google_base_link = "https://www.google.com/search?q="
+
+    url = google_base_link + " ".join(search_terms)
+    print(url)
+
+if __name__ == "__main__":
+    search_terms = []
+    google_search(search_terms)

vision-env/src/main.py

@@ -4,12 +4,13 @@ import sys
 import numpy as np
 import cv2
 import math
-import colors_detection
 import json
 from genericpath import isfile
 from pyautogui import size
 from google.cloud import vision
 
+import colors_detection
+import google_search
 # Minimum score required for labels detection
 MIN_SCORE_REQUIRED = 0.80
 
@@ -98,7 +99,6 @@ if img_width / scr_width > 1 or img_height / scr_height > 1:
     image = cv2.resize(image, (scaled_width, scaled_height), interpolation=cv2.INTER_CUBIC)
     cv2.imwrite('~/vision-env/images/testset/test0/copy_res.jpg', image)
 
-#FIXME: fix absolute/relative path problem on Linux on cloning image
 clone = image.copy()
 
 cv2.namedWindow("image")
@@ -186,3 +186,6 @@ for color_info in filtered_colors:
             '\tScore: ' + str(round(color_info.score, 5)) + 
             '\tColor Name: ' + color_name + 
             '\n')
+
+#queries = ["test", "search"]
+#google_search(queries)

vision-env/src/web_search/amazon_search.py

@@ -0,0 +1,31 @@
+import webbrowser
+
+def join_data(labels = [], colors = []):
+    for i in range(len(labels)):
+        label_joint = "+".join(labels[i])
+    for j in range(len(colors)):
+        color_joint = "+".join(colors[j])
+
+    return label_joint + " " + color_joint
+
+def generate_url(keywords):
+    url = "https://www.amazon.it/s?k="
+
+    return url + keywords
+
+def amazon_search(labels, colors):
+    keyword_list = join_data(labels, colors)
+
+    # C'mon Jeffrey you can do it!
+    jeff_net = generate_url(keyword_list)
+    webbrowser.open(jeff_net)
+    print(jeff_net)
+
+if __name__ == "__main__":
+    amazon_search([""], [""])
+
+
+## NOTHING TO SEE HERE...
+#lbl = ["jeff", "besos", "halloween", "costume"]
+#clr = ["orange"]
+#amazon_search([lbl], [clr])

vision-env/src/web_search/google_search.py

@@ -0,0 +1,38 @@
+import webbrowser
+
+def join_data(labels = [], colors = []):
+    for i in range(len(labels)):
+        label_joint = "+".join(labels[i])
+    for j in range(len(colors)):
+        color_joint = "+".join(colors[j])
+
+    return label_joint + " " + color_joint
+
+def generate_url(keywords, search_type):
+    if search_type == '--shopping':
+        pre_url  = "https://www.google.com/search?q="
+        post_url = "h&source=lmns&tbm=shop"
+
+        return pre_url + keywords + post_url
+    elif search_type == '--images':
+        pre_url = "https://www.google.com/search?q="
+        post_url = "&newwindow=1&tbm=isch&source=lnms"
+
+        return pre_url + keywords + post_url
+    else:
+        url = "https://www.google.com/search?q="
+
+        return url + keywords
+
+def google_search(labels, colors, search_type):
+    keyword_list = join_data(labels, colors)
+    print(keyword_list)
+    url = generate_url(keyword_list, search_type)
+    webbrowser.open(url)
+    print(url)
+
+
+## TEST ZONE - KEEP AWAY!
+#lbl = ["shirt", "long", "sleeve"]
+#clr = ["blue", "light"]
+#google_search([lbl], [clr], "--images")