本文整理汇总了Python中person.models.Person.from_state_and_district方法的典型用法代码示例。如果您正苦于以下问题:Python Person.from_state_and_district方法的具体用法?Python Person.from_state_and_district怎么用?Python Person.from_state_and_district使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类person.models.Person
的用法示例。
在下文中一共展示了Person.from_state_and_district方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: set_district
# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import from_state_and_district [as 别名]
def set_district(request):
try:
state = request.POST["state"]
if state != "XX" and state not in us.statenames: raise Exception()
district = int(request.POST["district"])
except:
return HttpResponseBadRequest()
# Who represents?
from person.models import Person
mocs = None
if state != "XX":
mocs = [p.id for p in Person.from_state_and_district(state, district)]
# Form response.
response = HttpResponse(
json.dumps({ "status": "ok", "mocs": mocs }),
content_type="application/json")
if request.user.is_authenticated():
# Save to database.
prof = request.user.userprofile()
prof.congressionaldistrict = "%s%02d" % (state, district)
prof.save()
else:
# Save in cookie.
response.set_cookie("cong_dist", json.dumps({ "state": state, "district": district }),
max_age=60*60*24*21)
return response
示例2: homepage_summary
# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import from_state_and_district [as 别名]
def homepage_summary(request):
# parse & validate parameters
try:
state = request.GET["district"][0:2]
district = int(request.GET["district"][2:])
if state not in statenames: raise Exception()
except:
return None
from django.contrib.humanize.templatetags.humanize import ordinal
# view
people = Person.from_state_and_district(state, district)
feeds = [p.get_feed() for p in people]
events = Feed.get_events_for(feeds, 6)
from events.templatetags.events_utils import render_event
for i in range(len(events)):
events[i] = render_event(events[i], feeds)
if not isinstance(events[i]["date"], str):
events[i]["date"] = events[i]["date"].strftime('%B %d, %Y') # can't JSON-serialize a datetime anyway, TODO handle date_has_no_time
for k in list(events[i]): # remove anything else in case it is not JSON-serializable
if k not in ('type', 'date', 'title', 'body_html', 'url'):
del events[i][k]
# form output
return {
"state": state,
"district": district,
"state_name": statenames[state],
"district_ordinal": ordinal(district),
"reps": [ { "link": p.get_absolute_url(), "name": p.name_and_title(), "title": p.role.get_description(), "photo": p.get_photo_url() } for p in people],
"events": events,
}
示例3: template_context_processor
# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import from_state_and_district [as 别名]
#.........这里部分代码省略.........
cache.set("all_tracked_events", all_tracked_events, 60*15) # 15 minutes
context["all_tracked_events"] = all_tracked_events
# Get our latest Medium posts.
medium_posts = cache.get("medium_posts")
if not medium_posts:
from website.models import MediumPost
medium_posts = MediumPost.objects.order_by('-published')[0:6]
cache.set("medium_posts", medium_posts, 60*15) # 15 minutes
context["medium_posts"] = medium_posts
# Get a campaign from if.then.fund.
itf_active_campaign = 50
if_then_fund_campaign = cache.get("if_then_fund_campaign")
if not if_then_fund_campaign and itf_active_campaign:
try:
if_then_fund_campaign = json.load(urllib2.urlopen("https://if.then.fund/a/%d.json" % itf_active_campaign))
except:
if_then_fund_campaign = "UHM" # something that is truthy otherwise we'll ping on every request
cache.set("if_then_fund_campaign", if_then_fund_campaign, 60*45) # 45 minutes
context["if_then_fund_campaign"] = if_then_fund_campaign
# Add context variables for whether the user is in the
# House or Senate netblocks.
def ip_to_quad(ip):
return [int(s) for s in ip.split(".")]
def compare_ips(ip1, ip2):
return cmp(ip_to_quad(ip1), ip_to_quad(ip2))
def is_ip_in_range(ip, block):
return compare_ips(ip, block[0]) >= 0 and compare_ips(ip, block[1]) <= 0
def is_ip_in_any_range(ip, blocks):
for block in blocks:
if is_ip_in_range(ip, block):
return True
return False
try:
ip = request.META["REMOTE_ADDR"]
ip = ip.replace("::ffff:", "") # ipv6 wrapping ipv4
if is_ip_in_any_range(ip, HOUSE_NET_RANGES):
context["remote_net_house"] = True
request._track_this_user = True
if is_ip_in_any_range(ip, SENATE_NET_RANGES):
context["remote_net_senate"] = True
request._track_this_user = True
if is_ip_in_any_range(ip, EOP_NET_RANGES):
context["remote_net_eop"] = True
request._track_this_user = True
except:
pass
# Add a context variable for if the user is near DC geographically.
user_loc = None
try:
if settings.GEOIP_DB_PATH and not request.path.startswith("/api/") and False:
user_loc = geo_ip_db.geos(ip)
context["is_dc_local"] = user_loc.distance(washington_dc) < .5
except:
pass
if not hasattr(request, 'user') or not request.user.is_authenticated():
# Have we put the user's district in a cookie?
try:
cong_dist = json.loads(request.COOKIES["cong_dist"])
x = cong_dist["state"] # validate fields are present
x = int(cong_dist["district"]) # ...and valid
except:
cong_dist = None
# Geolocate to a congressional district if not known and save it in
# a cookie for next time.
if user_loc and not cong_dist and not request.path.startswith("/api/"):
try:
from person.views import do_district_lookup
cong_dist = do_district_lookup(*user_loc.coords)
x = cong_dist["state"] # validate fields are present
x = int(cong_dist["district"]) # ...and valid
request._save_cong_dist = cong_dist
except:
cong_dist = None
else:
# If the user is logged in, is the district in the user's profile?
profile = request.user.userprofile()
if profile.congressionaldistrict != None:
# pass through XX00 so site knows not to prompt
cong_dist = { "state": profile.congressionaldistrict[0:2], "district": int(profile.congressionaldistrict[2:]) }
else:
cong_dist = None
# If we have a district, get its MoCs.
if cong_dist:
from person.models import Person
context["congressional_district"] = json.dumps(cong_dist)
context["congressional_district_mocs"] = json.dumps([p.id for p in Person.from_state_and_district(cong_dist["state"], cong_dist["district"])])
return context
示例4: template_context_processor
# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import from_state_and_district [as 别名]
#.........这里部分代码省略.........
trf = cache.get("trending_feeds")
if not trf:
trf = Feed.get_trending_feeds()
cache.set("trending_feeds", trf, 60*60*2)
trending_feeds = (datetime.datetime.now(), [Feed.objects.get(id=f) for f in trf])
context["trending_feeds"] = trending_feeds[1]
# Highlight a recent vote. We don't yet need to know the user's district
# --- that will happen client-side.
def get_highlighted_vote():
from vote.models import Vote, VoteCategory
candidate_votes = Vote.objects.filter(category__in=Vote.MAJOR_CATEGORIES).exclude(related_bill=None).order_by('-created')
for v in candidate_votes:
return { "title": v.question, "link": v.get_absolute_url(), "data": v.simple_record() }
return "NONE"
highlighted_vote = cache.get("highlighted_vote")
if highlighted_vote is None:
highlighted_vote = get_highlighted_vote()
cache.set("highlighted_vote", highlighted_vote, 60*60*2)
if highlighted_vote != "NONE":
context["highlighted_vote"] = highlighted_vote
# Add context variables for whether the user is in the
# House or Senate netblocks.
def ip_to_quad(ip):
return [int(s) for s in ip.split(".")]
def compare_ips(ip1, ip2):
return cmp(ip_to_quad(ip1), ip_to_quad(ip2))
def is_ip_in_range(ip, block):
return compare_ips(ip, block[0]) >= 0 and compare_ips(ip, block[1]) <= 0
def is_ip_in_any_range(ip, blocks):
for block in blocks:
if is_ip_in_range(ip, block):
return True
return False
try:
ip = request.META["REMOTE_ADDR"]
ip = ip.replace("::ffff:", "") # ipv6 wrapping ipv4
if is_ip_in_any_range(ip, HOUSE_NET_RANGES):
context["remote_net_house"] = True
request._track_this_user = True
if is_ip_in_any_range(ip, SENATE_NET_RANGES):
context["remote_net_senate"] = True
request._track_this_user = True
if is_ip_in_any_range(ip, EOP_NET_RANGES):
context["remote_net_eop"] = True
request._track_this_user = True
except:
pass
# Add a context variable for if the user is near DC geographically.
user_loc = None
try:
if settings.GEOIP_DB_PATH and not request.path.startswith("/api/"):
user_loc = geo_ip_db.geos(ip)
context["is_dc_local"] = user_loc.distance(washington_dc) < .5
except:
pass
if not hasattr(request, 'user') or not request.user.is_authenticated():
# Have we put the user's district in a cookie?
try:
cong_dist = json.loads(request.COOKIES["cong_dist"])
x = cong_dist["state"] # validate fields are present
x = int(cong_dist["district"]) # ...and valid
except:
cong_dist = None
# Geolocate to a congressional district if not known and save it in
# a cookie for next time.
if user_loc and not cong_dist and not request.path.startswith("/api/"):
try:
from person.views import do_district_lookup
cong_dist = do_district_lookup(*user_loc.coords)
x = cong_dist["state"] # validate fields are present
x = int(cong_dist["district"]) # ...and valid
request._save_cong_dist = cong_dist
except:
cong_dist = None
else:
# If the user is logged in, is the district in the user's profile?
profile = request.user.userprofile()
if profile.congressionaldistrict != None:
# pass through XX00 so site knows not to prompt
cong_dist = { "state": profile.congressionaldistrict[0:2], "district": int(profile.congressionaldistrict[2:]) }
else:
cong_dist = None
# If we have a district, get its MoCs.
if cong_dist:
from person.models import Person
context["congressional_district"] = json.dumps(cong_dist)
context["congressional_district_mocs"] = json.dumps([p.id for p in Person.from_state_and_district(cong_dist["state"], cong_dist["district"])])
return context
示例5: template_context_processor
# 需要导入模块: from person.models import Person [as 别名]
# 或者: from person.models.Person import from_state_and_district [as 别名]
#.........这里部分代码省略.........
return {
"title": post['title'],
"url": "https://medium.com/" + collection['slug'] + "/" + post['uniqueSlug'],
"date": post['virtuals']['firstPublishedAtEnglish'],
"preview": post['virtuals']['snippet'],
"image": post['virtuals']['previewImage']['imageId'] if post['virtuals'].get('previewImage') else None,
#"preview": " ".join([
# para['text']
# for para in post['previewContent']['bodyModel']['paragraphs']
# if para['type'] == 1 # not sure but a paragraph? vs a heading?
#])
}
return [ format_post(postid) for postid in medium_posts['payload']['value']['sections'][1]['postListMetadata']['postIds'] ]
medium_posts = cache.get("medium_posts")
if not medium_posts:
try:
medium_posts = get_medium_posts()
except:
medium_posts = []
cache.set("medium_posts", medium_posts, 60*15) # 15 minutes
context["medium_posts"] = medium_posts[0:3]
# Add context variables for whether the user is in the
# House or Senate netblocks.
def ip_to_quad(ip):
return [int(s) for s in ip.split(".")]
def compare_ips(ip1, ip2):
return cmp(ip_to_quad(ip1), ip_to_quad(ip2))
def is_ip_in_range(ip, block):
return compare_ips(ip, block[0]) >= 0 and compare_ips(ip, block[1]) <= 0
def is_ip_in_any_range(ip, blocks):
for block in blocks:
if is_ip_in_range(ip, block):
return True
return False
try:
ip = request.META["REMOTE_ADDR"]
ip = ip.replace("::ffff:", "") # ipv6 wrapping ipv4
if is_ip_in_any_range(ip, HOUSE_NET_RANGES):
context["remote_net_house"] = True
request._track_this_user = True
if is_ip_in_any_range(ip, SENATE_NET_RANGES):
context["remote_net_senate"] = True
request._track_this_user = True
if is_ip_in_any_range(ip, EOP_NET_RANGES):
context["remote_net_eop"] = True
request._track_this_user = True
except:
pass
# Add a context variable for if the user is near DC geographically.
user_loc = None
try:
if settings.GEOIP_DB_PATH and not request.path.startswith("/api/"):
user_loc = geo_ip_db.geos(ip)
context["is_dc_local"] = user_loc.distance(washington_dc) < .5
except:
pass
if not hasattr(request, 'user') or not request.user.is_authenticated():
# Have we put the user's district in a cookie?
try:
cong_dist = json.loads(request.COOKIES["cong_dist"])
x = cong_dist["state"] # validate fields are present
x = int(cong_dist["district"]) # ...and valid
except:
cong_dist = None
# Geolocate to a congressional district if not known and save it in
# a cookie for next time.
if user_loc and not cong_dist and not request.path.startswith("/api/"):
try:
from person.views import do_district_lookup
cong_dist = do_district_lookup(*user_loc.coords)
x = cong_dist["state"] # validate fields are present
x = int(cong_dist["district"]) # ...and valid
request._save_cong_dist = cong_dist
except:
cong_dist = None
else:
# If the user is logged in, is the district in the user's profile?
profile = request.user.userprofile()
if profile.congressionaldistrict != None:
# pass through XX00 so site knows not to prompt
cong_dist = { "state": profile.congressionaldistrict[0:2], "district": int(profile.congressionaldistrict[2:]) }
else:
cong_dist = None
# If we have a district, get its MoCs.
if cong_dist:
from person.models import Person
context["congressional_district"] = json.dumps(cong_dist)
context["congressional_district_mocs"] = json.dumps([p.id for p in Person.from_state_and_district(cong_dist["state"], cong_dist["district"])])
return context