def Search(self):
gotfilename = self.filename.get()
im = mpimg.imread(gotfilename)
plt.title("query")
plt.imshow(im)
plt.show()
database=self.databasepath.get()
print(gotfilename)
print(database)
test.search(gotfilename,database)
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
list = search(tracker.latest_message.get('text'))
res = ""
for i in list:
res += i + "\n"
dispatcher.utter_message(text=res)
return []
def get_google_results(title_name):
try:
from test import search
search_article = str(title_name + "+researchgate")
for j in search(search_article, tld="co.in", num=10, stop=1, pause=2):
result = j
except ImportError:
print("No module named 'google' found")
# to search
return result
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
confidence = tracker.latest_message['intent'].get('confidence')
print("confidence", confidence)
print("intent", tracker.latest_message['intent'].get('name'))
if confidence < 0.85:
list = search(tracker.latest_message.get('text'))
response = ""
for i in list:
response += i + "\n"
else:
response = """In what location?""".format()
dispatcher.utter_message(response)
return []
def __init__(self):
wx.Frame.__init__(self,parent=None,title="成绩查询",size=(900,560))
grid = wx.grid.Grid(self,pos=(10,0),size=(750,500))
grid.CreateGrid(20,7)
for i in range(20):
for j in range(7):
grid.SetCellAlignment(i,j,wx.ALIGN_CENTER,wx.ALIGN_CENTER)
grid.SetColLabelValue(0, "星期一") #第一列标签
grid.SetColLabelValue(1, "星期二")
grid.SetColLabelValue(2, "星期三")
grid.SetColLabelValue(3, "星期四")
grid.SetColLabelValue(4, "星期五") # 第一列标签
grid.SetColLabelValue(5, "星期六")
grid.SetColLabelValue(6, "星期日")
grid.SetColSize(0,100)
grid.SetColSize(1,100)
grid.SetColSize(2,100)
grid.SetColSize(3,100)
grid.SetColSize(4,100)
grid.SetColSize(5,100)
grid.SetColSize(6,100)
grid.SetRowSize(0, 90)
grid.SetRowSize(1, 90)
grid.SetRowSize(2, 90)
grid.SetRowSize(3, 90)
grid.SetRowSize(4, 90)
grid.SetCellTextColour("NAVY")
data = test.search()
for i in range(5):
for j in range(7):
file_handle = open('txt/%s.txt'%(i*7+j), mode='w', encoding='utf8')
grid.SetCellValue(i, j, data[i*7+j])
file_handle.writelines(data[i*7+j]+"\n")
file_handle.close()
pass
def google_search_article_links():
o = 0
links = []
article_data = pd.read_csv("article_title.csv")
google_search_links = []
for value in article_data.iloc[:, -1]:
search_article = value + "+researchgate"
google_search_links = []
google_search_links.append(search_article)
#print (google_search_links)
for j in search(search_article, tld="co.in", num=10, stop=1, pause=2):
result = j
o += 1
#print (o, result)
links.append(result)
#print (o, links)
#print ("Final result", links)
return links
result_links = google_search_article_links()
article_url = 'https://www.researchgate.net/publication/332449458_A_robust_fractionation_method_for_protein_subcellular_localization_studies_in_Escherichia_coli'
def get_proxy():
proxy = requests.get('http://34.213.20.241/?Key=PROFEZA').text.split(
'\\')[1][1:]
return proxy
try:
from test import search
except ImportError:
print("No module named 'google' found")
# to search
for j in search(author_url_1, tld="co.in", num=10, stop=1, pause=2):
result = j
print(j)
def scrape_author_details(author_url_1):
i = 1
while i > 0:
if i <= 100:
try:
proxies = {'https': 'https://' + get_proxy()}
repo = requests.get(result, proxies=proxies, timeout=10)
print('Our work is done.')
break
except:
i += 1