NEW FEATURE: Date Extract #6

Analysis.py

@@ -45,5 +45,6 @@
     '5': lambda: choices('frequency', CLIENT, TEXT),
     '6': lambda: choices('count', CLIENT, TEXT),
     '7': lambda: choices('email', CLIENT, TEXT),
+    '8': lambda: choices('date', CLIENT, TEXT)
 }
 selectChoice[choice]()

README.md

@@ -32,6 +32,10 @@ _Index_
 
 -   Contar número de palavras em um texto.
 
+-   Extrair emails presente no texto.
+
+-   Extrair datas presente no texto.
+
 ## Dependências:
 
 ### _Instale usando o arquivo de dependências do Python:_
@@ -135,8 +139,12 @@ Frequência: 8
     -   [WordCounter](https://algorithmia.com/algorithms/diego/WordCounter)
 
 -   [cindyxiaoxiaoli](https://algorithmia.com/users/cindyxiaoxiaoli)
+
     -   [EmailExtractor](https://algorithmia.com/algorithms/cindyxiaoxiaoli/EmailExtractor)
 
+-   [PetiteProgrammer](https://algorithmia.com/users/PetiteProgrammer)
+    -   [DateExtractor](https://algorithmia.com/algorithms/PetiteProgrammer/DateExtractor)
+
 ---
 
 <table align="center">

choice/__init__.py

@@ -15,6 +15,7 @@
 from functions.entityRecognition import entityRecognition
 from functions.frequencyOfWords import frequencyOfWords
 from functions.emailExtract import emailExtract
+from functions.dateExtrac import dateExtractor
 
 
 def choices(option: str, client: 'Client', text: str) -> NoReturn:
@@ -30,7 +31,8 @@ def choices(option: str, client: 'Client', text: str) -> NoReturn:
                 "count": lambda c, t: countWords(c, t),
                 "entity": lambda c, t: entityRecognition(c, t),
                 "frequency": lambda c, t: frequencyOfWords(c, t),
-                "email": lambda c, t:  emailExtract(c, t)
+                "email": lambda c, t:  emailExtract(c, t),
+                "date": lambda c, t: dateExtractor(c, t)
             }
             optionSelect[option](client, text)
 

functions/dateExtrac.py

@@ -0,0 +1,18 @@
+from typing import NoReturn, List
+
+
+def dateExtractor(client: 'Client', text: str) -> NoReturn:
+    from utils.translate import traduzir
+    from interface import texts
+
+    print(texts.optionsTitle('date'))
+
+    translatedText = traduzir('en', text)
+    algorithm = client.algo('PetiteProgrammer/DateExtractor/0.1.0')
+    response: List[str] = algorithm.pipe(translatedText).result
+
+    if len(response) > 0:
+        for date in response:
+            print(date)
+    else:
+        print('Nenhuma data encontrada')

interface/texts.py

@@ -66,6 +66,8 @@ def choicesMenu(style: Dict[str, str]) -> str:
 {style['bold']}6{style['reset']} < {style['italic']}Contar número de palavras em um texto.{style['reset']}
 
 {style['bold']}7{style['reset']} < {style['italic']}Extrair emails presentes no texto.{style['reset']}
+
+{style['bold']}8{style['reset']} < {style['italic']}Extrair datas presentes no texto.{style['reset']}
     ''')
 
 
@@ -86,7 +88,8 @@ def optionsTitle(option: str) -> str:
         'count': '\nContando palavras...\n',
         'entity': '\nExtraindo entidades...\n',
         'frequency': '\nObtendo frequencia de cada palavra...\n',
-        'email': '\nExtraindo emails no texto...\n'
+        'email': '\nExtraindo emails no texto...\n',
+        'date': '\nExtraindo datas no texto...\n'
     }
     return textOfOptions[option]