Python Person.name方法代码示例

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
    def parse(klass, row, carrier, areacode, phone_type):
        row = list(row)                                 # Make row mutable

        person = Person()
        person.name = normalize_text(row[2])

        address = Address()
        address.location = normalize_text(row[3])
        address.neighborhood = normalize_text(row[4])
        address.city = normalize_text(row[5])
        address.state = normalize_text(row[6])

        phone = Phone()
        phone.carrier = carrier
        phone.areacode = areacode
        phone.type = phone_type

        try:

            # document - try CPF
            person.document = validate_cpf(row[8][-11:])
            person.nature = Person.NATURE_CHOICES_PHYSICAL[0]

        except CPFValidationError:

            # document - try CNPJ
            person.document = validate_cnpj(row[8][-14:])
            person.nature = Person.NATURE_CHOICES_LEGAL[0]

        address.zipcode = validate_zipcode(row[7])

        phone.number = validate_phone_number(row[1])

        return klass(row, person, address, phone)

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
def make_person(name, building, relation, address=None, city=None, website=None, phone=None):

    # now associate applicant with building:

    # first find/make person
    people = Person.objects.filter(city=city).filter(name=name)
    person = None
    # check if a previous building object in the db exists
    if people.exists():
        person = people[0]
        print "Already had Person: %s" % person.name
    else:
        # if not,
        # CREATE A NEW PERSON OBJECT HERE
        person = Person()

        person.name = name
        if city:
            person.city = city

        if address:
            person.address = address

        if website:
            person.website = website

        if phone:
            person.phone = phone

        person.save()

    # then find/make association:
    bpeople = BuildingPerson.objects.filter(building=building).filter(person=person)
    bperson = None
    # check if a previous building_person object in the db exists
    if bpeople.exists():
        bperson = bpeople[0]
        print "Already had BuildingPerson: %s with: %s" % (bperson.person.name, bperson.building.address)
    else:
        # if not,
        # CREATE A NEW BUILDING PERSON OBJECT HERE
        bperson = BuildingPerson()

        bperson.person = person
        bperson.building = building
        bperson.relation = relation
        bperson.save()

    return (person, bperson)

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
def read_csv(source_csv, city_tag, feed_date):
    #could also use city.models.find_by_city_state
    city_options = City.objects.filter(tag=city_tag)
    #print "Number of cities available: %s" % len(city_options)
    if not len(city_options):
        raise ValueError, "CITY NOT FOUND! run make_cities.py first"
    else:
        city = city_options[0]

    print city


    feeds = FeedInfo.objects.filter(city=city).filter(added=feed_date)
    if feeds.exists():
        feed = feeds[0]
        print "Already had feed: %s, %s" % (feed.city, feed.added)
    else:
        feed = FeedInfo()
        feed.city = city
        feed.added = feed_date
        feed.version = "0.1"
        feed.save()
        print "Created new feed: %s" % feed.city.name

    people = Person.objects.filter(name="Blank")
    if people.exists():
        person = people[0]
        print "Already had person: %s" % (person.name)
    else:
        person = Person()
        person.name = "Blank"
        person.save()
        print "Created new person: %s" % person.name

    sources = Source.objects.filter(feed=feed)
    if sources.exists():
        feed_source = sources[0]
        print "Already had source: %s, %s" % (feed_source.feed.city, feed_source.feed.added)
    else:
        feed_source = Source()
        feed_source.feed = feed
        feed_source.person = person
        feed_source.save()
        print "Created new source: %s" % feed_source.feed.city.name


    # ideally, should be able to use the database itself as the cache,
    # instead of using a local file
    # but it's also good to not have to repeat geo queries if going in bulk
    # the site code *will* make geo queries
    # so it's still a good idea to cache the coded address locally
    # even if using the site code for everything else.
    
    cache_file = "%s.json" % city.tag
    #print cache_file
    cache_destination = os.path.join(os.path.dirname(source_csv), cache_file)
    print cache_destination
    #keep a local copy of data we've processed...
    #this should help with subsequent calls
    #to make sure we don't need to duplicate calls to remote geolocation APIs:
    loaded_cache = load_json(cache_destination, create=True)

    #need to go through and load SearchResults separately
    local_cache = {}
    for key in loaded_cache.keys():
        #this is useful if there is a cached value 
        #that was not parsed correctly... this will remove it:
        #if key.strip() == "314 North Washington Street Apt. C":
        if key.strip() == "some address with bad cached data":
            print "not adding: ", key
            #exit()
            pass
        else:
            current = loaded_cache[key]
            results = current['results']
            #print results
            sr = SearchResults()
            #sr.from_dict(results, debug=True)
            sr.from_dict(results, debug=False)
            #print sr
            current['results'] = sr

            #print current['results']
            local_cache[key] = current
        
    #use street address as the key
    #for each address, store SearchResults object

    #reset skips for every run:
    skips = codecs.open("skips.txt", 'w', encoding='utf-8')
    skips.close()


    skips = 0
    #with codecs.open(source_csv, 'rb', encoding='utf-8') as csvfile:
    with open(source_csv) as csvfile:

        #reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
        #reader = csv.reader(csvfile)
        #reader = unicodecsv.UnicodeReader(csvfile, encoding='utf-8')
#.........这里部分代码省略.........

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
def read_csv(source_csv, city_name, city_tag):
    city_options = City.objects.filter(tag=city_tag)
    print "Number of cities available: %s" % len(city_options)
    if not len(city_options):
        raise ValueError, "CITY NOT FOUND! run make_cities.py first"
        ## city = City()
        ## city.name = city_name
        ## city.tag = to_tag(city.name)
        ## city.save()
    else:
        city = city_options[0]

    print city

    feed_date = "2013-07-31"

    feeds = FeedInfo.objects.filter(city=city).filter(added=feed_date)
    if feeds.exists():
        feed = feeds[0]
        print "Already had feed: %s, %s" % (feed.city, feed.added)
    else:
        feed = FeedInfo()
        feed.city = city
        feed.added = feed_date
        feed.version = "0.1"
        feed.save()
        print "Created new feed: %s" % feed.city.name

    people = Person.objects.filter(name="Blank")
    if people.exists():
        person = people[0]
        print "Already had person: %s" % (person.name)
    else:
        person = Person()
        person.name = "Blank"
        person.save()
        print "Created new person: %s" % person.name

    sources = Source.objects.filter(feed=feed)
    if sources.exists():
        feed_source = sources[0]
        print "Already had source: %s, %s" % (feed_source.feed.city, feed_source.feed.added)
    else:
        feed_source = Source()
        feed_source.feed = feed
        feed_source.person = person
        feed_source.save()
        print "Created new source: %s" % feed_source.feed.city.name


    cache_file = "%s.json" % city.tag
    cache_destination = os.path.join(os.path.dirname(source_csv), cache_file)
    #keep a local copy of data we've processed...
    #this should help with subsequent calls
    #to make sure we don't need to duplicate calls to remote geolocation APIs:
    local_cache = load_json(cache_destination, create=True)
    if not local_cache.has_key('buildings'):
        local_cache['buildings'] = {}
    if not local_cache.has_key('parcels'):
        local_cache['parcels'] = {}
    
    locations = {}
    for key, value in local_cache['buildings'].items():
        locations[key] = Location(value)

    #geocoder helper:
    geo = Geo()

    skips = 0
    #with codecs.open(source_csv, 'rb', encoding='utf-8') as csvfile:
    with open(source_csv) as csvfile:
        #reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
        #reader = csv.reader(csvfile)
        #reader = unicodecsv.UnicodeReader(csvfile, encoding='utf-8')

        reader = unicode_csv_reader(csvfile)

        #just print the first row:
        print '>, <'.join(reader.next())

        count = 0
        for row in reader:
            count += 1
            print "Looking at row: %s" % count
            
            #could exit out early here, if needed
            if count > 1000:
                #exit()
                pass
            
            address = row[0]

            #need to fix the number being at the end of the address
            parts = address.split(',')
            anumber = parts[-1]
            parts = parts[:-1]
            street = ",".join(parts)
            address = "%s %s" % (anumber, street)


#.........这里部分代码省略.........

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
def read_csv(source_csv, city_name, city_tag):
    city_options = City.objects.filter(tag=city_tag)
    print "Number of cities available: %s" % len(city_options)
    if not len(city_options):
        raise ValueError, "CITY NOT FOUND! run make_cities.py first"
        ## city = City()
        ## city.name = city_name
        ## city.tag = to_tag(city.name)
        ## city.save()
    else:
        city = city_options[0]

    print city

    feed_date = "2013-10-16"

    feeds = FeedInfo.objects.filter(city=city).filter(added=feed_date)
    if feeds.exists():
        feed = feeds[0]
        print "Already had feed: %s, %s" % (feed.city, feed.added)
    else:
        feed = FeedInfo()
        feed.city = city
        feed.added = feed_date
        feed.version = "0.1"
        feed.save()
        print "Created new feed: %s" % feed.city.name

    people = Person.objects.filter(name="Blank")
    if people.exists():
        person = people[0]
        print "Already had person: %s" % (person.name)
    else:
        person = Person()
        person.name = "Blank"
        person.save()
        print "Created new person: %s" % person.name

    sources = Source.objects.filter(feed=feed)
    if sources.exists():
        feed_source = sources[0]
        print "Already had source: %s, %s" % (feed_source.feed.city, feed_source.feed.added)
    else:
        feed_source = Source()
        feed_source.feed = feed
        feed_source.person = person
        feed_source.save()
        print "Created new source: %s" % feed_source.feed.city.name


    cache_file = "%s.json" % city.tag
    cache_destination = os.path.join(os.path.dirname(source_csv), cache_file)
    #keep a local copy of data we've processed...
    #this should help with subsequent calls
    #to make sure we don't need to duplicate calls to remote geolocation APIs:
    local_cache = load_json(cache_destination, create=True)
    if not local_cache.has_key('buildings'):
        local_cache['buildings'] = {}
    if not local_cache.has_key('parcels'):
        local_cache['parcels'] = {}
    
    locations = {}
    for key, value in local_cache['buildings'].items():
        locations[key] = Location(value)

    #geocoder helper:
    geo = Geo()

    skips = 0
    #with codecs.open(source_csv, 'rb', encoding='utf-8') as csvfile:
    with open(source_csv) as csvfile:
        #reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
        #reader = csv.reader(csvfile)
        #reader = unicodecsv.UnicodeReader(csvfile, encoding='utf-8')

        reader = unicode_csv_reader(csvfile)

        #just print the first row:
        print '>, <'.join(reader.next())

        count = 0

        #want to randomize the order... distribute options more evenly
        #print len(reader)
        #exit()
        #in order to randomize, should randomize the order in the csv
        for row in reader:
            count += 1
            print "Looking at row: %s" % count
            
            #could exit out early here, if needed
            if count > 10:
                #exit()
                pass

            print row
            address = row[0]


            ## no_units = row[12]
#.........这里部分代码省略.........

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
def read_csv(source_csv):
    city_options = City.objects.filter(tag="bloomington_in")
    print "Number of cities available: %s" % len(city_options)
    if not len(city_options):
        raise ValueError, "CITY NOT FOUND! run make_cities.py first"
        ## city = City()
        ## city.name = "Bloomington"
        ## city.tag = to_tag(city.name)
        ## city.save()
    else:
        city = city_options[0]

    print city

    feed_date = "2013-08-29"

    feeds = FeedInfo.objects.filter(city=city).filter(added=feed_date)
    if feeds.exists():
        feed = feeds[0]
        print "Already had feed: %s, %s" % (feed.city, feed.added)
    else:
        feed = FeedInfo()
        feed.city = city
        feed.added = feed_date
        feed.version = "0.1"
        feed.save()
        print "Created new feed: %s" % feed.city

    people = Person.objects.filter(name="Blank")
    if people.exists():
        person = people[0]
        print "Already had person: %s" % (person.name)
    else:
        person = Person()
        person.name = "Blank"
        person.save()
        print "Created new person: %s" % person.name

    sources = Source.objects.filter(feed=feed)
    if sources.exists():
        feed_source = sources[0]
        print "Already had source: %s, %s" % (feed_source.feed.city, feed_source.feed.added)
    else:
        feed_source = Source()
        feed_source.feed = feed
        feed_source.person = person
        feed_source.save()
        print "Created new source: %s" % feed_source.feed.city

    cache_file = "%s.json" % city.tag
    cache_destination = os.path.join(os.path.dirname(source_csv), cache_file)
    # keep a local copy of data we've processed...
    # this should help with subsequent calls
    # to make sure we don't need to duplicate calls to remote geolocation APIs:
    local_cache = load_json(cache_destination, create=True)
    if not local_cache.has_key("buildings"):
        local_cache["buildings"] = {}
    if not local_cache.has_key("parcels"):
        local_cache["parcels"] = {}

    locations = {}
    for key, value in local_cache["buildings"].items():
        locations[key] = Location(value)

    # geocoder helper:
    geo = Geo()

    skips = 0
    with codecs.open(source_csv, "rb", encoding="utf-8") as csvfile:
        # reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
        reader = csv.reader(csvfile)

        # just print the first row:
        print ">, <".join(reader.next())

        count = 0
        for row in reader:
            count += 1
            print "Looking at row: %s" % count

            # could exit out early here, if needed
            if count > 1000:
                # exit()
                pass

            bldg_id = row[0]
            print bldg_id

            address = row[1]
            print address

            owner = row[2]

            # skip this:
            ownder_contact = row[3]

            agent = row[4]

            bldg_units = row[9]
            print bldg_units
#.........这里部分代码省略.........

# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import name [as 别名]
def read_csv(source_csv, city_name, city_tag):
    city_options = City.objects.filter(tag=city_tag)
    print "Number of cities available: %s" % len(city_options)
    if not len(city_options):
        raise ValueError, "CITY NOT FOUND! run make_cities.py first"
        ## city = City()
        ## city.name = city_name
        ## city.tag = to_tag(city.name)
        ## city.save()
    else:
        city = city_options[0]

    print city

    feed_date = "2013-10-16"

    feeds = FeedInfo.objects.filter(city=city).filter(added=feed_date)
    if feeds.exists():
        feed = feeds[0]
        print "Already had feed: %s, %s" % (feed.city, feed.added)
    else:
        feed = FeedInfo()
        feed.city = city
        feed.added = feed_date
        feed.version = "0.1"
        feed.save()
        print "Created new feed: %s" % feed.city.name

    people = Person.objects.filter(name="Blank")
    if people.exists():
        person = people[0]
        print "Already had person: %s" % (person.name)
    else:
        person = Person()
        person.name = "Blank"
        person.save()
        print "Created new person: %s" % person.name

    sources = Source.objects.filter(feed=feed)
    if sources.exists():
        feed_source = sources[0]
        print "Already had source: %s, %s" % (feed_source.feed.city, feed_source.feed.added)
    else:
        feed_source = Source()
        feed_source.feed = feed
        feed_source.person = person
        feed_source.save()
        print "Created new source: %s" % feed_source.feed.city.name

    cache_file = "%s-20150525.json" % city.tag
    cache_destination = os.path.join(os.path.dirname(source_csv), cache_file)
    # keep a local copy of data we've processed...
    # this should help with subsequent calls
    # to make sure we don't need to duplicate calls to remote geolocation APIs:
    local_cache = load_json(cache_destination, create=True)
    if not local_cache.has_key("buildings"):
        local_cache["buildings"] = {}

    search_results = {}
    for key, value in local_cache["buildings"].items():
        # search_results[key] = Location(value)
        sr = SearchResults()
        sr.from_dict(value)
        # print
        # print sr
        # print
        search_results[key] = sr

    # geocoder helper:
    # geo = Geo()

    skips = 0
    with open(source_csv) as csvfile:

        reader = unicode_csv_reader(csvfile)

        # just print the first row:
        print ">, <".join(reader.next())

        count = 0

        # want to randomize the order... distribute options more evenly
        # print len(reader)
        # exit()
        # in order to randomize, should randomize the order in the csv
        for row in reader:
            count += 1
            print "Looking at row: %s" % count

            any_updated = False

            # could exit out early here, if needed
            if count > 10:
                # exit()
                pass

            # if you want to skip ahead more quickly:
            if count < 27187:
                pass
            else:
#.........这里部分代码省略.........