def investigate(self):
data = self.scrape(self.base_urls)
train_crud = CRUD("sqlite:///database.db",Ads,"ads")
#getting dummy data from http://www.dummytextgenerator.com/#jump
dummy_crud = CRUD("sqlite:///database.db",TrainData,"training_data")
train = train_crud.get_all()
dummy = dummy_crud.get_all()
t_docs = [elem.text for elem in train_crud.get_all()] #all documents with trafficking
train = [(elem.text,"trafficking") for elem in train] + [(elem.text,"not trafficking") for elem in dummy]
cls = []
#make use of tdf-idf here
#add in this example: http://scikit-learn.org/0.11/auto_examples/document_classification_20newsgroups.html
cls.append(NBC(train))
cls.append(DTC(train))
for datum in data:
for cl in cls:
if cl.classify(datum["text_body"]) == "trafficking":
self.save_ads([datum])
#so I don't have to eye ball things
if doc_comparison(datum["text_body"],t_docs) == "trafficking":
self.save_ads([datum])
if self.doc_comparison(datum["text_body"],t_docs) == "trafficking":
self.save_ads([datum])
#so I don't have to eye ball things
if doc_comparison(datum["text_body"],t_docs) == "trafficking":
self.save_ads([datum])
if self.doc_comparison(datum["text_body"],t_docs) == "trafficking":
self.save_ads([datum])
time.sleep(700) # wait ~ 12 minutes
self.investigate() #this is an infinite loop, which I am okay with.
def investigate(self):
data = self.scrape(self.base_urls)
train_crud = CRUD("sqlite:///database.db", Ads, "ads")
#getting dummy data from http://www.dummytextgenerator.com/#jump
dummy_crud = CRUD("sqlite:///database.db", TrainData, "training_data")
train = train_crud.get_all()
dummy = dummy_crud.get_all()
t_docs = [elem.text for elem in train_crud.get_all()
] #all documents with trafficking
train = [(elem.text, "trafficking")
for elem in train] + [(elem.text, "not trafficking")
for elem in dummy]
cls = []
#make use of tdf-idf here
#add in this example: http://scikit-learn.org/0.11/auto_examples/document_classification_20newsgroups.html
cls.append(NBC(train))
cls.append(DTC(train))
for datum in data:
for cl in cls:
if cl.classify(datum["text_body"]) == "trafficking":
self.save_ads([datum])
#so I don't have to eye ball things
if doc_comparison(datum["text_body"], t_docs) == "trafficking":
self.save_ads([datum])
if self.doc_comparison(datum["text_body"],
t_docs) == "trafficking":
self.save_ads([datum])
time.sleep(700) # wait ~ 12 minutes
self.investigate() #this is an infinite loop, which I am okay with.
def save_ads(self, data, site):
crud = CRUD("sqlite:///database.db", table=site)
for datum in data:
ad = Ads()
ad.title=datum["title"]
ad.phone_numbers=json.dumps(datum["phone_numbers"])
ad.text_body=datum["text_body"]
ad.photos=json.dumps(datum["images"])#change this so I'm saving actual pictures to the database.
ad.link=datum["link"]
ad.posted_at = datum["posted_at"]
ad.scraped_at=datum["scraped_at"]
ad.language=datum["language"]
ad.polarity=datum["polarity"]
ad.translated_body=datum["translated_body"]
ad.translated_title=datum["translated_title"]
ad.subjectivity=datum["subjectivity"]
crud.insert(ad)
def save_ads(self, data, site):
crud = CRUD("sqlite:///database.db", table=site)
