def person_lookup(self, service):
     if service == 'fullcontact':
         fullcontact_key = '50bd8e5a1133dd29'
         #context = ssl._create_unverified_context()
         try:
             email = self.query_object.emails[0].address.encode("utf-8")
         except IndexError:
             return None
         try:
             url = "https://api.fullcontact.com/v2/person.json?email=" + email + "&apiKey=" + fullcontact_key
             #response = urllib2.urlopen(url, context=context)
             response = urllib2.urlopen(url)
             data_obj = response.read()
             json_obj = json.loads(data_obj)
             return json_obj
         except urllib2.HTTPError as err:
             if err.code == 404:
                 return
     elif service == 'pipl':
         pipl_api_key ='wzcdrge37w2ktmrcnvy8gs8c'
         request = SearchAPIRequest(api_key=pipl_api_key, person=self.query_object)
         response = request.send()
         data = response.to_dict()
         return data
     else:
         return "Service not supported. Please Try Again"
Ejemplo n.º 2
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 def test_response_class_custom(self):
     custom_response_class = type('CustomResponseClass',
                                  (SearchAPIResponse, ), {})
     request = SearchAPIRequest(email="*****@*****.**",
                                response_class=custom_response_class)
     response = request.send()
     self.assertIsInstance(response, custom_response_class)
Ejemplo n.º 3
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def selftest_function(opts):
    """
    Placeholder for selftest function. An example use would be to test package api connectivity.
    Suggested return values are be unimplemented, success, or failure.
    """
    options = opts.get("fn_pipl", {})
    # Read configuration settings:
    if "pipl_api_key" in options:
        pipl_api_key = options["pipl_api_key"]
    else:
        log.error(u"Mandatory config setting 'pipl_api_key' not set.")
        raise ValueError("Mandatory config setting 'pipl_api_key' not set.")

    state, reason = "", ""
    try:
        request = SearchAPIRequest(email=u'*****@*****.**',
                                   first_name=u'Clark',
                                   last_name=u'Kent',
                                   api_key=pipl_api_key)
        response = request.send()
        if response and response.http_status_code == 200:
            state = "success"
        else:
            state = "failure"
            reason = response.error
    except Exception as ex:
        state = "failure"
        reason = str(ex)

    result = {"state": state, "reason": reason}

    log.info(result)
    return result
Ejemplo n.º 4
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def query(query_username):
	request = SearchAPIRequest(api_key=u'COMMUNITY-s20idwagbdiijrrjsmzhq320', username=unicode(query_username))
	try:
		response = request.send()
		print response.to_dict()
	except SearchAPIError as e:
		print e
Ejemplo n.º 5
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def query(query_username):
    request = SearchAPIRequest(api_key=u'COMMUNITY-s20idwagbdiijrrjsmzhq320',
                               username=unicode(query_username))
    try:
        response = request.send()
        print response.to_dict()
    except SearchAPIError as e:
        print e
Ejemplo n.º 6
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 def test_make_sure_insufficient_search_isnt_sent(self):
     request = SearchAPIRequest(first_name="brian")
     try:
         request.send()
         failed = False
     except Exception as e:
         failed = True
     self.assertTrue(failed)
Ejemplo n.º 7
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def run_request(data):
    request = SearchAPIRequest(**data, api_key=PIPL_KEY)
    try:
        response = request.send()
        return response
    except SearchAPIError as e:
        print(e.http_status_code, e)
    return None
Ejemplo n.º 8
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 def test_make_sure_insufficient_search_isnt_sent(self):
     request = SearchAPIRequest(first_name="brian")
     try:
         request.send()
         failed = False
     except Exception as e:
         failed = True
     self.assertTrue(failed)
def getName(emailAddress):
    request = SearchAPIRequest(email=emailAddress)

    try:
        response = request.send()
    except SearchAPIError as e:
        print e.http_status_code, e

    return response.person.names[0]
Ejemplo n.º 10
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def getName(emailAddress):
	request = SearchAPIRequest(email=emailAddress)

	try:
    		response = request.send()
	except SearchAPIError as e:
    		print e.http_status_code, e

	return response.person.names[0]
Ejemplo n.º 11
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def search_object(person):
    request = SearchAPIRequest(person=bind_pipl_object(read_the_files()))
    try:
        response = request.send()
        print(response.image.get_thumbnail_url(500, 500, zoom_face=True, favicon=False))
        print response.name
        print response.address
        print response.job
    except SearchAPIError as e:
        print e.http_status_code, e
def search_object(name):
    user = name + '@twitter'
    try:
        request = SearchAPIRequest(username=user, country='US')
        response = request.send()

        if response.person != None and response.person.addresses != None:
            print response.person.names
            #print response.person.addresses
            output.write(str(response.person.names)+ "\t" + str(response.person.addresses)+ "\n")
    except SearchAPIError as e:
        print e.http_status_code, e
Ejemplo n.º 13
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    def __init__(self):
        super().__init__()

        # Set configuration settings for the Pipl search queries
        # TODO: infer_persons - what's the default? Should we turn off?
        # TODO: match_requirements -- !
        SearchAPIRequest.set_default_settings(api_key=self.THE_KEY,
                                              minimum_probability=None,
                                              show_sources=None,
                                              minimum_match=None,
                                              hide_sponsored=None,
                                              live_feeds=None,
                                              use_https=False)
Ejemplo n.º 14
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 def test_make_sure_deserialization_works(self):
     response = SearchAPIRequest(email="*****@*****.**").send()
     self.assertEquals(response.person.names[0].display, "Clark Joseph Kent")
     self.assertEquals(response.person.emails[1].address_md5, "999e509752141a0ee42ff455529c10fc")
     self.assertEquals(response.person.usernames[0].content, "superman@facebook")
     self.assertEquals(response.person.addresses[1].display, "1000-355 Broadway, Metropolis, Kansas")
     self.assertEquals(response.person.jobs[0].display, "Field Reporter at The Daily Planet (2000-2012)")
     self.assertEquals(response.person.educations[0].degree, "B.Sc Advanced Science")
Ejemplo n.º 15
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def call_pipl(profile=None, search_pointer=None):
    api_key = os.environ.get("PIPL_API_KEY")

    if not api_key:
        print("call_pipl(): Warning: Missing API Key.")

    params = {'api_key': api_key, 'hide_sponsored': True, 'use_https': True}

    if search_pointer:
        params["search_pointer"] = search_pointer
    elif profile:
        # TODO: Look into using advanced search:
        # https://docs.pipl.com/reference/#using-search-parameters

        # TODO: look this up from the profile
        params['country'] = 'US'

        email = ProfileEmail.to_reach(profile.id, strict=True)
        if email:
            params["email"] = email.value

        if profile.state_id:
            params["state"] = profile.state.state_code

        if profile.city:
            params["city"] = profile.city

        if profile.first_name:
            params["first_name"] = profile.first_name

        if profile.last_name:
            params["last_name"] = profile.last_name
    else:
        print("Abiguous Lookup: Not enough information to make a PIPL query.")
        raise AmbiguousLookupException()

    try:
        response = SearchAPIRequest(**params).send()
    except ValueError:  # ValueError's get raised when there's not enough information in the query
        print("Sparse PIPL query.")
        raise AmbiguousLookupException()

    if response and response.http_status_code == 200:
        if response.persons_count > 1:
            print("Ambiguous Lookup: Too many results")
            raise AmbiguousLookupException()
            # NS 11.13.18 - disable because search pointer logic is FUBAR
            # search_pointer = get_valid_search_pointer_from_pipl_response(response, job=profile.job)
            # if search_pointer:
            #     return call_pipl(search_pointer=search_pointer)
        return json.loads(response.raw_json.replace('\n', ''))
    else:
        print("Bad HTTP response.")
        raise LookupFailedException()

    return None
Ejemplo n.º 16
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def search(row):

    fields = [Name(first=unicode(row['FIRST NAME'], "utf-8"), middle= unicode(row['MI'], "utf-8"),
              last=unicode(row['LAST NAME'], "utf-8")),
          Address(country=u'US', state=unicode(row['STATE'], "utf-8"), city=unicode(row['CITY'], "utf-8"),
                  zip_code=unicode(row['ZIP5'], "utf-8"))]
    request = SearchAPIRequest(person=Person(fields))
    try:
        response = request.send()
        print response.name
        #print response.address
        #print response.job
        if(response.email != None):
            email = response.email
            print email.username
        if(response.person != None):
            print response.sources[0].origin_url
            if(response.person.user_ids != None):
                print response.person.user_ids
    except SearchAPIError as e:
        print e.http_status_code, e
Ejemplo n.º 17
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class SocialSearch(object):
    def __init__(self, name):
        self.request = SearchAPIRequest(
            raw_name=name,
            api_key='SOCIAL-PREMIUM-DEMO-vllok8b97jwjpygr3p6mnx1x')

    def search(self):
        try:
            return self.request.send()
        except SearchAPIError as e:
            print(e.http_status_code, e)
            return None
Ejemplo n.º 18
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    def check_pipl(self, email, password, elastic=False):
        print("---" + Fore.CYAN + "Pipl" + Fore.RESET + '---')
        request = SearchAPIRequest(email=email,
                                   show_sources=True, use_https=True, api_key=conf['keys']['pipl'])
        to_elastic = {"email": email, "password": password, "name": [], "dob": "", 'jobs': [], 'addresses': [],
                      "images": [], "urls": []}
        try:
            response = request.send()
            if response.person:
                if response.person.names:
                    print("Name: " + response.person.names[0].display)
                    for name in response.person.names:
                        to_elastic['name'].append(name.display)
                if response.person.dob:
                    print(response.person.dob.display)
                    to_elastic['dob'].append(str(response.person.dob.display))
                if response.person.jobs:
                    print("Jobs:")
                    for job in response.person.jobs:
                        # if "Director" in job.display or "CEO" in job.display
                        # self.send_push("Found big fish " + email + password)

                        print(job.display)
                if response.person.urls:
                    for url in response.person.urls:
                        print(url.display)
                        to_elastic['urls'].append(url.display)

                for address in response.person.addresses:
                    to_elastic['addresses'].append(address.display)

                for image in response.person.images:
                    to_elastic['images'].append(image.display)

                if elastic:
                    self.put_elastic('pipl', 'email', to_elastic)
            else:
                print("Nothing was found :(")
        except Exception as e:
            print(Fore.RED + str(e) + Fore.RESET)
Ejemplo n.º 19
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def set_default():
    SearchAPIRequest.set_default_settings(api_key=u'9ztqbp5mxbuqdc3z6g6nckdy', minimum_probability=None,
                                          show_sources="all", minimum_match=None, hide_sponsored=None, live_feeds=None,
                                          use_https=True)
Ejemplo n.º 20
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from piplapis.data import Person, Name, Address, Job, DOB, DateRange
from piplapis.search import SearchAPIRequest
from piplapis.search import SearchAPIError
import json
import datetime

# Test for DOB parsing. The DOB provided below does not appear in the "parsed data" in the pipl API console query view
# I believe therefore it is not being included in the filtering logic, and there are too many returned responses

# Please change the name and DOB range below to something useful for your tests.

fields = [
    Name(first=u'Clark', last=u'Kent'),
    DOB(date_range=DateRange(datetime.date(1975, 1, 1),
                             datetime.date(1980, 1, 1)))
]
request = SearchAPIRequest(person=Person(fields=fields), api_key='YOUR_KEY')

try:
    response = request.send()
except SearchAPIError as e:
    print(e.http_status_code, e)
    exit(1)

exit(0)
def enhance_segment_user(user):
    resp = SearchAPIRequest(email=user.email,
                            first_name=user.first_name,
                            last_name=user.last_name,
                            show_sources='matching').send()

    if resp.warnings:
        logger.warning("Got {} warnings for Pipl enhancement".format(len(resp.warnings)))
        for warning in resp.warnings:
            logger.warning(warning)

    if resp.person:
        traits = {}
        
        if person.dob:
            traits['age'] = person.dob.age
            
        if person.educations:
            traits['degree'] = person.educations[0]._display

        if person.languages:
            traits['language'] = person.languages[0]._display

        if person.gender:
            traits['gender'] = person.gender.display

        for p in person.phones:
            if p.type == 'work_phone':
                traits['phone'] = p.display_international

        if person.names and (not user.first_name or not user.last_name):
            name = person.names[0]
            traits['firstName'] = name.first
            traits['lastName'] = name.last

        if person.jobs:
            job = person.jobs[0]
            traits['Job Title'] = job.title
            traits['Organization'] = job.organization
            traits['Industry'] = job.industry

        if person.emails:
            query_md5 = resp.query.emails[0].address_md5
            match_email = ([e for e in person.emails if e.address_md5 == query_md5] or [None])[0]
            if match_email:
                traits['Disposable Email'] = 'Yes' if match_email.disposable else 'No'
                traits['Email Provider'] = 'Public' if match_email.email_provider else 'Work'

        domain_names = [
            ('linkedin.com', 'LinkedIn'),
            ('facebook.com', 'Facebook'),
            ('plus.google.com', 'G+'),
            ('twitter.com', 'Twitter'),
            ('pinterest.com', 'Pinterest'),
            ('reddit.com', 'Reddit'),
        ]

        sources_by_domain = resp.group_sources_by_domain()
        for domain, name in domain_names:
            sources = sources_by_domain.get(domain, [])
            for src in sources:
                if src.usernames:
                    traits['{} Username'.format(name)] = src.usernames[0].content
                    if src.user_ids:
                        traits['{} User ID'.format(name)] = src.user_ids[0].content.split('@')[0]
                    break
            for src in sources:
                if 'avatar' not in traits and src.images:
                    traits['avatar'] = src.images[0].url

        if 'avatar' not in traits and person.images:
            traits['avatar'] = person.images[0].url

        analytics.identify(user.email, traits)
Ejemplo n.º 22
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 def test_response_class_default(self):
     request = SearchAPIRequest(email="*****@*****.**")
     response = request.send()
     self.assertIsInstance(response, SearchAPIResponse)
Ejemplo n.º 23
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 def __init__(self, name):
     self.request = SearchAPIRequest(
         raw_name=name,
         api_key='SOCIAL-PREMIUM-DEMO-vllok8b97jwjpygr3p6mnx1x')
Ejemplo n.º 24
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from piplapis.search import SearchAPIRequest

file = None

if sys.argv.__len__() > 1:
    file = open(sys.argv[1])

inputsource = file or sys.stdin

for line in inputsource:
    whatToCheck = line.strip()
    if whatToCheck.count('@') == 0:
       continue
    print "Checking Information for Email: (%s) "  % whatToCheck
    Piplrequest = SearchAPIRequest(api_key=UserApiKey,
                                   email=whatToCheck)
    response = Piplrequest.send()
    Collection = response.group_records_by_domain()
    print Collection
    for Domain in Collection:
        print
        print



        for item in Collection[Domain]:
            print "%s %s \n%s" % (Domain , item, item.to_dict())
            print ("")


"""
Ejemplo n.º 25
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def index(request):
    latest_testresult_list = "test"

    if request.method == 'POST':
        # create a form instance and populate it with data from the request:
        form = PIPLSearch(request.POST)
        # check whether it's valid:
        if form.is_valid():
            #print(form.cleaned_data)

            # get rid of elements in form that are emtpy
            newDict = {}
            for element, value in form.cleaned_data.items():
                if value != "":
                    newDict[element] = value

            # loop through form and organize it into a query for the PIPL Api
            piplQuery = {}
            for element, value in newDict.items():
                piplQuery[element] = value

            ## UNCOMMENT HERE TO GET OUT OF TESTING

            piplQuery["api_key"] = api_key
            #pprint.pprint(piplQuery)
            request2 = SearchAPIRequest(**literal_eval(str(piplQuery)))

            #request2 = SearchAPIRequest(first_name=u'Caleb', last_name=u'Lawrence', api_key='vqnx9j3dfjxyq5sgmnspgvij')
            search_response = request2.send()
            json_response = search_response.to_dict()
            #pprint.pprint(json_response)
            ### UNCOMMENT HERE TO LOAD JSON TO FILE FOR FUTURE TESTING

            # with open('multiplepeople.json', 'w') as outfile:
            # 	json.dump(json_response, outfile)
            context = {}

            # with open("multiplepeople.json") as json_data:
            # 	json_response = json.load(json_data)
            # 	json_data.close()

            if "possible_persons" in json_response:
                # more than one person found
                # collection of person objects
                context = {}
                context['people'] = {}
                totalPeople = 0

                # loop through possible persons
                for person in json_response["possible_persons"]:
                    totalPeople += 1
                    #print "printing person"
                    #pprint.pprint(person)
                    unique_name = person["@search_pointer"]
                    context["people"][unique_name] = {}

                    if "names" in person:
                        names = person["names"]
                        context['people'][unique_name]['names'] = names
                    if "emails" in person:
                        emails = person["emails"]
                        context["people"][unique_name]['emails'] = emails
                    if "phones" in person:
                        phones = person["phones"]
                        context["people"][unique_name]['phones'] = phones
                    if "gender" in person:
                        gender = person["gender"]
                        context["people"][unique_name]['gender'] = gender
                    if "dob" in person:
                        dob = person["dob"]
                        context["people"][unique_name]['dob'] = dob
                    if "addresses" in person:
                        addresses = person["addresses"]
                        context["people"][unique_name]['addresses'] = addresses
                    if "jobs" in person:
                        jobs = person["jobs"]
                        context["people"][unique_name]['jobs'] = jobs
                    if "educations" in person:
                        educations = person["educations"]
                        context["people"][unique_name][
                            'educations'] = educations
                    if "images" in person:
                        images = person["images"]
                        context["people"][unique_name]['images'] = images
                    if "urls" in person:
                        urls = person["urls"]
                        context["people"][unique_name]['urls'] = urls
                    context["people"][unique_name][
                        'personCounter'] = totalPeople

                    #pprint.pprint(context["people"])

                # print "printing data in context: "

                # for item in context['people']:
                # 	pprint.pprint(item)
                # 	for item2 in context['people'][item]:
                # 		pprint.pprint(item2)

                context["totalPeople"] = totalPeople
                peopleCounter = range(1, totalPeople)
                context["peopleCounter"] = peopleCounter
                return render(request, 'response_multi.html', context)

            # only one person found
            else:
                if "names" in json_response["person"]:
                    names = json_response["person"]["names"]
                    context['names'] = names
                if "emails" in json_response["person"]:
                    emails = json_response["person"]["emails"]
                    context['emails'] = emails
                if "phones" in json_response["person"]:
                    phones = json_response["person"]["phones"]
                    context['phones'] = phones
                if "gender" in json_response["person"]:
                    gender = json_response["person"]["gender"]
                    context['gender'] = gender
                if "dob" in json_response["person"]:
                    dob = json_response["person"]["dob"]
                    context['dob'] = dob
                if "addresses" in json_response["person"]:
                    addresses = json_response["person"]["addresses"]
                    context['addresses'] = addresses
                if "jobs" in json_response["person"]:
                    jobs = json_response["person"]["jobs"]
                    context['jobs'] = jobs
                if "educations" in json_response["person"]:
                    educations = json_response["person"]["educations"]
                    context['educations'] = educations
                if "images" in json_response["person"]:
                    images = json_response["person"]["images"]
                    context['images'] = images
                if "urls" in json_response["person"]:
                    urls = json_response["person"]["urls"]
                    context['urls'] = urls

                #context = {'names': names, 'emails': emails, 'phones': phones, 'gender': gender, 'dob': dob, 'addresses': addresses, 'jobs': jobs, 'educations': educations, 'images': images, 'urls': urls  }

                return render(request, 'response.html', context)

    # if a GET (or any other method) we'll create a blank form
    else:
        form = PIPLSearch()
    return render(request, 'home.html', {'form': form})

    context = {'latest_testresult_list': latest_testresult_list}
    return render(request, 'home.html', context)
def enhance_segment_user(user):
    resp = SearchAPIRequest(email=user.email,
                            first_name=user.first_name,
                            last_name=user.last_name,
                            show_sources='matching').send()

    if resp.warnings:
        logger.warning("Got {} warnings for Pipl enhancement".format(
            len(resp.warnings)))
        for warning in resp.warnings:
            logger.warning(warning)

    if resp.person:
        traits = {}

        if person.dob:
            traits['age'] = person.dob.age

        if person.educations:
            traits['degree'] = person.educations[0]._display

        if person.languages:
            traits['language'] = person.languages[0]._display

        if person.gender:
            traits['gender'] = person.gender.display

        for p in person.phones:
            if p.type == 'work_phone':
                traits['phone'] = p.display_international

        if person.names and (not user.first_name or not user.last_name):
            name = person.names[0]
            traits['firstName'] = name.first
            traits['lastName'] = name.last

        if person.jobs:
            job = person.jobs[0]
            traits['Job Title'] = job.title
            traits['Organization'] = job.organization
            traits['Industry'] = job.industry

        if person.emails:
            query_md5 = resp.query.emails[0].address_md5
            match_email = (
                [e for e in person.emails if e.address_md5 == query_md5]
                or [None])[0]
            if match_email:
                traits[
                    'Disposable Email'] = 'Yes' if match_email.disposable else 'No'
                traits[
                    'Email Provider'] = 'Public' if match_email.email_provider else 'Work'

        domain_names = [
            ('linkedin.com', 'LinkedIn'),
            ('facebook.com', 'Facebook'),
            ('plus.google.com', 'G+'),
            ('twitter.com', 'Twitter'),
            ('pinterest.com', 'Pinterest'),
            ('reddit.com', 'Reddit'),
        ]

        sources_by_domain = resp.group_sources_by_domain()
        for domain, name in domain_names:
            sources = sources_by_domain.get(domain, [])
            for src in sources:
                if src.usernames:
                    traits['{} Username'.format(
                        name)] = src.usernames[0].content
                    if src.user_ids:
                        traits['{} User ID'.format(
                            name)] = src.user_ids[0].content.split('@')[0]
                    break
            for src in sources:
                if 'avatar' not in traits and src.images:
                    traits['avatar'] = src.images[0].url

        if 'avatar' not in traits and person.images:
            traits['avatar'] = person.images[0].url

        analytics.identify(user.email, traits)
Ejemplo n.º 27
0
 def get_narrow_search_request(self):
     return SearchAPIRequest(email="*****@*****.**")
Ejemplo n.º 28
0
 def get_broad_search_request(self):
     return SearchAPIRequest(first_name="brian", last_name="perks")
Ejemplo n.º 29
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def index(request):
    if request.method == "POST":
        email_form = EmailForm(request.POST)
        email = email_form.data["user_email"]
        name = email_form.data["user_name"]
        # print(email)
        # email_func(email)  #SH

        # IP Data API
        requests1 = requests.get(
            'http://api.ipapi.com/api/check?access_key=3ce7a3e12763ba9551d020fa5a4b1117&output=json'
        )
        response_dict = json.loads(requests1.text)
        # print(response_dict)

        # Reverse GeoCoding
        # key = "AIzaSyD7q2PVhT2SDl9jJCq8qiciuusZ_Z09AwQ"
        # requests3 = requests.get('https://maps.googleapis.com/maps/api/geocode/json?latlng={},{}&result_type=street_address&key={}'.format(response_dict["latitude"], response_dict["longitude"], key))
        # response_dict1 = json.loads(requests3.text)
        # print(response_dict1['results'])

        # People Data API
        if len(email)==0 and len(name)==0 \
            or len(email)!=0 and len(name)!=0:
            # messages.info(request, 'Please enter name OR email. Name must include the middle name as well when applicable.')
            messages.error(request,
                           'You must enter either name or email (not both)!')
            return HttpResponse(
                render(request, "securityApp/index.html",
                       {"email_form": email_form}))

        if len(email)==0 and len(name)!=0 \
            and len(name.split(' ')) >= 2:
            # api check by name
            request2 = SearchAPIRequest(raw_name=name,
                                        api_key='w55kotsni33vhkymn3ey8hxh'
                                        )  # raw_name or email GET APIs FROM ME
        else:
            # messages.info(request, 'Please enter name OR email. Name must include the middle name as well when applicable.')
            request2 = SearchAPIRequest(email=email,
                                        api_key='w55kotsni33vhkymn3ey8hxh'
                                        )  # raw_name or email GET APIs FROM ME

        response2 = request2.send()
        response2_dict = response2.to_dict()
        currentPerson = response2.person

        ip = response_dict["ip"]
        # VPN Detection API
        response = requests.get(
            'https://api.ip2proxy.com/?ip={}&key=WU5VWACYRB&package=PX1'.
            format(ip))
        response_dict2 = json.loads(response.text)

        #if response2 is None:
        print("Response: ", response2.name.__class__.__name__)
        print("Response Type: ", type(response2))

        if response2.name.__class__.__name__ == "NoneType":
            messages.warning(request, "Email is not found.")
            return redirect(to="/securityApp")

        output = social_media(response2_dict)

        if email_form.is_valid():
            return HttpResponse(
                render(
                    request,
                    "securityApp/results.html",
                    {
                        "email_form":
                        email_form,
                        "ipAddress":
                        "" + response_dict["ip"],
                        "ipType":
                        response_dict["type"],
                        "ipProxy":
                        "" + response_dict2['isProxy'],
                        "continentCode":
                        response_dict["continent_code"],
                        "continentName":
                        response_dict["continent_name"],
                        "countryCode":
                        response_dict["country_code"],
                        "countryName":
                        response_dict["country_name"],
                        "regionCode":
                        response_dict["region_code"],
                        "regionName":
                        response_dict["region_name"],
                        "ipCity":
                        "" + response_dict["city"],
                        "ipZip":
                        response_dict["zip"],
                        "ipLatitude":
                        response_dict["latitude"],
                        "ipLongitude":
                        response_dict["longitude"],
                        "currentPerson":
                        response2.person,
                        "names":
                        response2.name.display,
                        "usernames":
                        "" + response2.username.display
                        if hasattr(response2, 'username')
                        and hasattr(response2.username, 'display') else '',
                        "emails":
                        "" +
                        response2.email.display if hasattr(response2, 'email')
                        and hasattr(response2.email, 'display') else '',
                        "addresses":
                        "" + response2.address.display
                        if hasattr(response2, 'address')
                        and hasattr(response2.address, 'display') else '',
                        "phones":
                        "" +
                        response2.phone.display if hasattr(response2, 'phone')
                        and hasattr(response2.phone, 'display') else '',
                        "educations":
                        "" + response2.education.display
                        if hasattr(response2, 'education')
                        and hasattr(response2.education, 'display') else '',
                        "jobs":
                        "" +
                        response2.job.display if hasattr(response2, 'job')
                        and hasattr(response2.job, 'display') else '',
                        "privacyRating":
                        privacyRatingCalculator(currentPerson),

                        #                 # "currentPerson": response2.person,
                        #                 "names": "John Aaron Doe",  # "\n".join(map(str, currentPerson.names)),
                        #                 "usernames": "jdoe70",  # "\n".join(map(str, currentPerson.usernames)),
                        #                 "emails": "*****@*****.**",  # "\n".join(map(str, currentPerson.emails)),
                        #                 "addresses": "4301 College Road, Houston, Texas",  # "\n".join(map(str, currentPerson.addresses)),
                        #                 "phones": "(976)-584-9090",  # "\n".join(map(str, currentPerson.phones)),
                        #                 "educations": "Texas A&M University",  # "\n".join(map(str, currentPerson.educations)),
                        #                 "jobs": "Process Operator at Dow Chemical",  # "\n".join(map(str, currentPerson.jobs)),
                        #                 "relationships": "Jane Ashley Doe",  # "\n".join(map(str, currentPerson.relationships)),
                        #                 "ethnicities": "Caucasian",  # "\n".join(map(str, currentPerson.ethnicities)),
                        #                 "gender": "Male",  # "\n".join(str(currentPerson.gender))
                        #                 "privacyRating": privacyRatingCalculator(),
                        "tweet_1":
                        output['tweet_1'],
                        "tweet_2":
                        output['tweet_2'],
                        "tweet_3":
                        output['tweet_3'],
                        "tw_name":
                        output['tw_name'],
                        "tw_url":
                        output['tw_url'],
                        "fb_count":
                        output['fb_count'],
                        "speechGen":
                        speechGen(currentPerson, response2)
                        # "fb_1": output['fb_1'],
                        # "fb_2": output['fb_2'],
                        # "fb_3": output['fb_3']
                    }))
    else:
        email_form = EmailForm()
        # messages.info(request, 'Please enter name OR email. Name must include the middle name as well when applicable.')
        # return HttpResponse("...")
        return HttpResponse(
            render(request, "securityApp/index.html",
                   {"email_form": email_form}))
Ejemplo n.º 30
0
def api_pipl(defendant_name, business_tier=False):
    # submit api call to pipl using defendant name, city columbus, county muscogee, state georgia

    # code snippets
    # https://docs.pipl.com/docs/code-snippets

    # python library
    # https://docs.pipl.com/docs/code-libraries#section-python

    # get first match back, which is the most likely candidate, ignore multiple matches for now
    # if a match from pipl, set match_true = true, populate return variables with data from ppl
    # if no match from pipl, set met_true = false, leave other return variables blank

    # adapted from sample code:

    from api_keys import pipl_social_api_key, pipl_biz_api_key, pipl_contact_api_key
    from piplapis.search import SearchAPIRequest
    from piplapis.search import SearchAPIResponse
    from piplapis.search import SearchAPIError
    from piplapis.data import Person, Name, Address
    import pipl_processing
    import datetime

    # create return object + set default state
    defendant = {"match_true": False}

    SearchAPIRequest.set_default_settings(
        api_key=pipl_contact_api_key, minimum_probability=0.8, use_https=True
    )  # use encrypted connection and ensure 80% probability matching

    # Split name supplied into values parsable by request api
    names = defendant_name.split(' ')
    defendant_last_name = names[0]
    defendant_middle_name = ""  # ensures always initialized

    # handle cases 2, 3 or more total names
    if len(names) == 2:
        defendant_first_name = names[1]
    elif len(names) == 3:
        defendant_middle_name = names[2]
        defendant_first_name = names[1]
    else:
        # TODO: handle >3 names
        dap_log_pipl(LogLevel.ERROR,
                     "invalid name format: %s" % defendant_name)
        return defendant

    fields = [
        Name(first=defendant_first_name,
             middle=defendant_middle_name,
             last=defendant_last_name),
        Address(country=u'US', state=u'GA', city=u'Columbus'
                )  # all cases on this mainframe will be located here,
    ]

    # prepare request (use contact-tier key by default, business-tier if specificied)
    key = pipl_biz_api_key if business_tier else pipl_contact_api_key
    request = SearchAPIRequest(person=Person(fields=fields), api_key=key)

    # for debugging
    dap_log_pipl(LogLevel.DEBUG, str(request.__dict__))

    # TODO: log api messages to pipl.log

    # assures that reference is assigned before later access
    response = None
    person = None

    # try fetching a request
    try:
        dap_log_pipl(LogLevel.DEBUG, "fetching request...")
        response = request.send()
    except SearchAPIError as e:
        message = "SearchAPIError: %i: %s" % (e.http_status_code, e.error)
        dap_log_pipl(LogLevel.CRITICAL, message)

    # direct match found!
    if response and response.person:
        dap_log_pipl(LogLevel.DEBUG, "direct match!")
        person = response.person

    # possible matches found, pick most likely candidate
    elif response and len(response.possible_persons) > 0:
        dap_log_pipl(LogLevel.DEBUG, "possible matches, searching...")

        local_list = list()
        for possible in response.possible_persons:
            local_addresses = pipl_processing.get_matching_addresses(
                addresses=possible.addresses, city="Columbus", state="GA")

            # Person is a local resident, add them to list of local_list
            if len(local_addresses) != 0:
                local_list.append(possible)

        # TODO: pick from list of possible persons, placeholder for further processing
        if len(local_list) != 0:
            dap_log_pipl(LogLevel.DEBUG, "match found!")
            person = local_list[0]

    # no match found or empty response
    else:
        if not response:
            message = "Empty response!"
            dap_log_pipl(LogLevel.ERROR, message)
        else:
            message = "No matching person found for %s." % defendant_name
            dap_log_pipl(LogLevel.WARN, message)

    if person:
        # TODO: catch index exceptions thrown in case of empty arrays?

        # a match was found!
        defendant["match_true"] = True

        # set default values before parsing person object
        defendant_house = None
        defendant_address = None
        defendant_apartment = None
        defendant_email = ""
        defendant_facebook = ""

        # parse addresses, see https://docs.pipl.com/reference#address

        # Get addresses from within Columbus, GA
        addresses = pipl_processing.get_matching_addresses(
            addresses=person.addresses, city="Columbus", state="GA")

        # for matching addresses within the state find latest (if > 1)
        last_seen = None
        for address in addresses:
            # This is the marked current address, break out of loop
            if address.current and address.current == True:
                defendant_address = address
                break

            # Skip if old, skip if work and record to compliance log, default type is home
            if address.type:
                if address.type == "work":
                    # TODO: record a note to compliance.log
                    dap_log_pipl(
                        LogLevel.INFO, "Work address found for %s, skipping." %
                        defendant_name)
                elif address.type == "old":
                    continue

            # address has last_seen date, compare to set as latest
            if address.last_seen:
                if not last_seen or address.last_seen >= last_seen:
                    last_seen = address.last_seen
                    defendant_address = address

            # if no last_seen on any address supplied, pick first from array
            # and set last_seen to unix epoch (so any last_seen is bigger)
            else:
                if not defendant_address:
                    last_seen = datetime.datetime.utcfromtimestamp(0)
                    defendant_address = address

        last_seen = None
        for email in person.emails:
            # This is the current email, break out of loop
            if email.current and email.current == True:
                defendant_email = email.address
                break

            # Skip if work email and record to compliance log, default type
            # if omitted is personal
            if email.type and email.type == "work":
                dap_log_pipl(
                    LogLevel.INFO,
                    "Work email found for %s, skipping." % defendant_name)
                continue

            # email has last_seen date, compare to set as latest
            if email.last_seen:
                if not last_seen or email.last_seen >= last_seen:
                    last_seen = address.last_seen
                    defendant_email = email.address

            # if no last_seen on any email supplied, pick first from array
            # and set last_seen to unix epoch (so any last_seen is bigger)
            else:
                if not defendant_email:
                    last_seen = datetime.datetime.utcfromtimestamp(0)
                    defendant_email = email.address

        # parse facebook, see see https://docs.pipl.com/reference#user-id

        last_seen = None
        for id in person.user_ids:
            # empty id or not a facebook id, continue through loop
            if not id.content or not id.content.endswith("@facebook"):
                continue

            # email has last_seen date, compare to set as latest
            if id.last_seen:
                if not last_seen or id.last_seen >= last_seen:
                    last_seen = id.last_seen
                    defendant_facebook = id.content[0:-9]  # remove '@facebook'

            # if no last_seen on any email supplied, pick first from array
            # and set last_seen to unix epoch (so any last_seen is bigger)
            else:
                if not defendant_facebook:
                    last_seen = datetime.datetime.utcfromtimestamp(0)
                    defendant_facebook = id.content[0:-9]  # remove '@facebook'

        # handle usage of contact vs. business tier api keys
        if business_tier:
            if not defendant_email:
                dap_log_pipl(
                    LogLevel.ERROR,
                    "business-tier api requested, but no email returned!")

            # if running at business tier, only return dict with email supplied, as this
            # call of api_pipl() will have been made recursively from a contact-tier call
            # to api_pipl()
            defendant["email"] = defendant_email
            return defendant
        else:
            if defendant_email == "*****@*****.**":
                dap_log_pipl(
                    LogLevel.DEBUG,
                    "contact-tier email returned, re-running with business api keys"
                )
                defendant_email = api_pipl(defendant_name,
                                           business_tier=True)["email"]
            elif defendant_email != "":
                dap_log_pipl(
                    LogLevel.ERROR,
                    "contact-tier returned non-null, valid (?) email: %s" %
                    defendant_email)

        # set all parsed values
        if not defendant_address: defendant_address = Address()
        defendant[
            "house"] = defendant_address.house if defendant_address.house else ""
        defendant[
            "street"] = defendant_address.street if defendant_address.street else ""
        defendant[
            "apartment"] = defendant_address.apartment if defendant_address.apartment else ""
        defendant[
            "city"] = defendant_address.city if defendant_address.city else ""
        defendant[
            "state"] = defendant_address.state if defendant_address.state else ""
        defendant[
            "zip"] = defendant_address.zip_code if defendant_address.zip_code else ""
        defendant["email"] = defendant_email
        defendant["facebook"] = defendant_facebook

    dap_log_pipl(LogLevel.DEBUG, "%s: %s" % (defendant_name, str(defendant)))

    return defendant
    def _pipl_search_function_function(self, event, *args, **kwargs):
        """Function: Function enriches your leads (name, email address, phone number, or social media username) with Pipl
        and gets their personal, professional, demographic, and contact information.

        The minimal requirement to run a search is to have at least one full name, email, phone, username, user_id,
        URL or a single valid US address (down to a house number)."""
        def get_config_option(option_name, optional=False):
            """Given option_name, checks if it is in appconfig. Raises ValueError if a mandatory option is missing"""
            option = self.options.get(option_name)

            if not option and optional is False:
                err = "'{0}' is mandatory and is not set in the app.config file. " \
                      "You must set this value to run this function".format(option_name)
                raise ValueError(err)
            else:
                return option

        def get_function_input(inputs, input_name, optional=False):
            """Given input_name, checks if it defined. Raises ValueError if a mandatory input is None"""
            input = inputs.get(input_name)

            if input is None and optional is False:
                err = "'{0}' is a mandatory function input".format(input_name)
                raise ValueError(err)
            else:
                return input

        try:
            # Get the function parameters:
            artifact_type = get_function_input(kwargs,
                                               "pipl_artifact_type")  # text
            artifact_value = get_function_input(kwargs,
                                                "pipl_artifact_value")  # text

            log = logging.getLogger(__name__)
            log.info("artifact_type: %s", artifact_type)
            log.info("artifact_value: %s", artifact_value)

            # Read configuration settings:
            pipl_api_key = get_config_option("pipl_api_key")
            max_matches = int(
                get_config_option("pipl_max_no_possible_per_matches"))
            pipl_minimum_match = get_config_option("pipl_minimum_match", True)
            minimum_match = float(
                pipl_minimum_match) if pipl_minimum_match else None
            pipl_minimum_probability = get_config_option(
                "pipl_minimum_probability", True)
            minimum_probability = float(
                pipl_minimum_probability) if pipl_minimum_probability else None
            pipl_infer_persons = get_config_option("pipl_infer_persons", True)
            infer_persons = parse_bool(
                pipl_infer_persons) if pipl_infer_persons else None

            email, raw_name, username = None, None, None
            if artifact_type in ("Email Sender", "Email Recipient"):
                # In Pipl Data this are full email addresses. Personal and Work emails.
                email = artifact_value

            elif artifact_type == "User Account":
                # In Pipl Data this are usernames in use by the person online. This includes screen names,
                # handles and nicknames from across the web, social media sites, forums and more.
                username = artifact_value
            else:
                # In Pipl Data this is current name as well as maiden name and nicknames.
                raw_name = artifact_value

            # Set the required request data
            request = SearchAPIRequest(email=email,
                                       raw_name=raw_name,
                                       username=username,
                                       api_key=pipl_api_key,
                                       minimum_match=minimum_match,
                                       minimum_probability=minimum_probability,
                                       infer_persons=infer_persons)

            # get response
            response = request.send(
            )  # returns SearchAPIResponse object not dict

            # Create payload dict
            payload = FunctionPayload()

            if response:
                # If success extract person data
                if response.http_status_code == 200:

                    response_json = response.raw_json
                    persons_count = response.persons_count
                    if persons_count and response_json:

                        response_dict = json.loads(response_json)

                        person_list = []
                        # A response can return either a Person or possible_persons array
                        pipl_person = response_dict.get("person")
                        possible_persons = response_dict.get(
                            "possible_persons")

                        if pipl_person:
                            person_list.append(pipl_person)
                            payload.pipl_response = "definite match"
                            yield StatusMessage(
                                "The data sent/found to Pipl is enough to identify a single, matching person."
                            )

                        elif possible_persons:
                            # Include only this number of possible person matches in the results
                            new_list = possible_persons[:max_matches]
                            person_list.extend(new_list)

                            payload.pipl_response = "possible person matches"
                            yield StatusMessage(
                                "The data sent/found to Pipl is not enough to identify a single person. "
                                "A list of possible person matches was returned."
                            )
                        else:
                            payload.pipl_response = "no match"
                            yield StatusMessage(
                                "No data was found in Pipl. "
                                "Try adjusting the search settings in app.config."
                            )

                        # Save the response in payload
                        payload.person_list = person_list
                        # Pretty printing
                        payload.raw_data = json.dumps(person_list,
                                                      sort_keys=True,
                                                      indent=4,
                                                      separators=(',', ': '))

                    # No data returned
                    else:
                        payload.person_list = []
                        payload.pipl_response = "no match"
                        yield StatusMessage(
                            "No data was found in Pipl. "
                            "Try adjusting the search settings in app.config.")

                # If not a 200 code
                else:
                    payload.success = False
                    raise ValueError(
                        "Error with Pipl API. Status Code: {0}".format(
                            response.error))
            else:
                payload.success = False
                raise ValueError(
                    "No response from Pipl. Check your connection/credentials."
                )

            # Send payload back to Appliance
            results = payload.as_dict()

            log.info(json.dumps(results))
            log.info("Complete")

            # Produce a FunctionResult with the results
            yield FunctionResult(results)
        except Exception as err:
            log.info(err)
            yield FunctionError()
Ejemplo n.º 32
0
def main():
    SearchAPIRequest.set_default_settings(api_key=my_key, minimum_probability=None, show_sources=None,
                                          minimum_match=None, hide_sponsored=None, live_feeds=None, use_https=True)
    search_object(read_the_files())
Ejemplo n.º 33
0
 def test_forward_compatibility(self):
     SearchAPIRequest.BASE_URL += "&show_unknown_fields=1"
     request = SearchAPIRequest(email="*****@*****.**")
     response = request.send()
     self.assertIsNotNone(response.person)
Ejemplo n.º 34
0
 def get_narrow_md5_search_request(self):
     return SearchAPIRequest(person=Person(
         fields=[Email(address_md5="e34996fda036d60aa2a595ca86ed8fef")]))
Ejemplo n.º 35
0
# Use any combination of search parameters.
# Each parameter may be used only once.
# A search request has to contain at least one valid name,
# email address, phone, username, user id, URL, or a full US address (including a house number). //

# Python Code:

# imports
from piplapis.search import SearchAPIRequest, Person, Address, Name, Phone, Email, Job, DOB

# run search (request/response)
SearchAPIRequest.set_default_settings(api_key=u'Your API Key',
                                      minimum_probability=None,
                                      show_sources=None,
                                      minimum_match=None,
                                      hide_sponsored=None,
                                      live_feeds=None,
                                      use_https=True)

fields = [
    Phone(raw=19785550145),
    Email("*****@*****.**"),
    Name(first=u'Clark', last=u'Kent')
]
request = SearchAPIRequest(person=Person(fields=fields))
response = request.send()

# print portion of response
if response.person:  # Has data so single Full Person response
    currentPerson = response.person
    print("Number of Names:", len(currentPerson.names))
Ejemplo n.º 36
0
 def test_recursive_request(self):
     response = self.get_broad_search_request().send()
     self.assertGreater(len(response.possible_persons), 0)
     second_response = SearchAPIRequest(
         search_pointer=response.possible_persons[0].search_pointer).send()
     self.assertIsNotNone(second_response.person)
Ejemplo n.º 37
0
 def test_forward_compatibility(self):
     SearchAPIRequest.BASE_URL += "&show_unknown_fields=1"
     request = SearchAPIRequest(email="*****@*****.**")
     response = request.send()
     self.assertIsNotNone(response.person)