from pixivpy3 import *

api = AppPixivAPI()
# api.login("username", "password")   # Not required

# get origin url
json_result = api.illust_detail(59580629)
illust = json_result.illust
print(">>> origin url: %s" % illust.image_urls['large'])

# get ranking: 1-30
# mode: [day, week, month, day_male, day_female, week_original, week_rookie, day_manga]
json_result = api.illust_ranking('day')
for illust in json_result.illusts:
    print(" p1 [%s] %s" % (illust.title, illust.image_urls.medium))

# next page: 31-60
next_qs = api.parse_qs(json_result.next_url)
json_result = api.illust_ranking(**next_qs)
for illust in json_result.illusts:
    print(" p2 [%s] %s" % (illust.title, illust.image_urls.medium))

aapi = AppPixivAPI()
json_result = aapi.illust_ranking()
for illust in json_result.illusts[:3]:
    aapi.download(illust.image_urls.large)

print(">>> new ranking_all(mode='daily', page=1, per_page=50)")
#rank_list = api.sapi.ranking("all", 'day', 1)
rank_list = api.ranking_all('daily', 1, 50)
print(rank_list)

# more fields about response: https://github.com/upbit/pixivpy/wiki/sniffer
ranking = rank_list.response[0]
for img in ranking.works:
	#print img.work
	print("[%s/%s(id=%s)] %s" % (img.work.user.name, img.work.title, img.work.id, img.work.image_urls.px_480mw))

class AppPixivAPI(BasePixivAPI):

    # 返回翻页用参数
    def parse_qs(self, next_url):

    # 用户详情 
    def user_detail(self, user_id):

    # 用户作品列表 
    def user_illusts(self, user_id, type='illust'):

    # 用户收藏作品列表 
    def user_bookmarks_illust(self, user_id, restrict='public'):

    # 关注用户的新作
    # restrict: [public, private]
    def illust_follow(self, restrict='public'):

    # 作品详情 (无需登录，同PAPI.works)
    def illust_detail(self, illust_id):

    # 相关作品列表 
    def illust_related(self, illust_id):

    # 插画推荐 (Home - Main) 
    # content_type: [illust, manga]
    def illust_recommended(self, content_type='illust'):

    # 作品排行
    # mode: [day, week, month, day_male, day_female, week_original, week_rookie, day_manga]
    # date: '2016-08-01'
    # mode(r18榜单需登录): [day_r18, day_male_r18, day_female_r18, week_r18, week_r18g]
    def illust_ranking(self, mode='day', date=None, offset=None):

    # 趋势标签 (Search - tags) 
    def trending_tags_illust(self):

    # 搜索 (Search) 
    # search_target - 搜索类型
    #   partial_match_for_tags  - 标签部分一致
    #   exact_match_for_tags    - 标签完全一致
    #   title_and_caption       - 标题说明文
    # sort: [date_desc, date_asc]
    # duration: [within_last_day, within_last_week, within_last_month]
    # start_date, end_date: '2020-07-01'
    def search_illust(self, word, search_target='partial_match_for_tags', sort='date_desc', duration=None):

    # 搜索小说 (Search Novel)
    # search_target - 搜索类型
    #   partial_match_for_tags  - 标签部分一致
    #   exact_match_for_tags    - 标签完全一致
    #   text                    - 正文
    #   keyword                 - 关键词
    # sort: [date_desc, date_asc]
    # start_date/end_date: 2020-06-01 (最长1年)
    def search_novel(self, word, search_target='partial_match_for_tags', sort='date_desc', start_date=None, end_date=None):

    # 用户搜索
    def search_user(self, word, sort='date_desc', duration=None):

    # 作品收藏详情 
    def illust_bookmark_detail(self, illust_id):

    # 新增收藏
    def illust_bookmark_add(self, illust_id, restrict='public', tags=None):

    # 删除收藏
    def illust_bookmark_delete(self, illust_id):

    # 用户收藏标签列表
    def user_bookmark_tags_illust(self, restrict='public', offset=None):

    # Following用户列表 
    def user_following(self, user_id, restrict='public', offset=None):

    # Followers用户列表 
    def user_follower(self, user_id, filter='for_ios', offset=None):

    # 好P友 
    def user_mypixiv(self, user_id, offset=None):

    # 黑名单用户 
    def user_list(self, user_id, filter='for_ios', offset=None):

    # 获取ugoira信息
    def ugoira_metadata(self, illust_id):

aapi = AppPixivAPI()

# 作品推荐
json_result = aapi.illust_recommended()
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 作品相关推荐
json_result = aapi.illust_related(57065990)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 作品相关推荐-下一页 (.parse_qs(next_url) 用法)
next_qs = aapi.parse_qs(json_result.next_url)
json_result = aapi.illust_related(**next_qs)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 用户详情
json_result = aapi.user_detail(660788)
print(json_result)
user = json_result.user
print("%s(@%s) region=%s" % (user.name, user.account, json_result.profile.region))

# 用户作品列表
json_result = aapi.user_illusts(660788)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 用户收藏列表
json_result = aapi.user_bookmarks_illust(2088434)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 2016-07-15 日的过去一周排行
json_result = aapi.illust_ranking('week', date='2016-07-15')
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 关注用户的新作 (需要login)
json_result = aapi.illust_follow(req_auth=True)
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 标签 "水着" 搜索
json_result = aapi.search_illust('水着', search_target='partial_match_for_tags')
print(json_result)
illust = json_result.illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

# 用户 "gomzi" 搜索
json_result = aapi.search_user("gomzi")
print(json_result)
illust = json_result.user_previews[0].illusts[0]
print(">>> %s, origin url: %s" % (illust.title, illust.image_urls['large']))

class PixivAPI(BasePixivAPI):

	# 作品详细
	def works(self, illust_id):

	# 用户资料
	def users(self, author_id):

	# 我的订阅
	def me_feeds(self, show_r18=1):

	# 获取收藏夹
	def me_favorite_works(self,page=1,per_page=50,image_sizes=['px_128x128', 'px_480mw', 'large']):

	# 添加收藏
	# publicity:  public, private
	def me_favorite_works_add(self, work_id, publicity='public'):

	# 删除收藏
	def me_favorite_works_delete(self, ids):

	# 关注用户
	# publicity:  public, private
	def me_favorite_users_follow(self, user_id, publicity='public'):

	# 用户作品
	# publicity:  public, private
	def users_works(self, author_id, page=1, per_page=30, publicity='public'):

	# 用户收藏
	# publicity:  public, private
	def users_favorite_works(self, author_id, page=1, per_page=30, publicity='public'):

	# 排行榜/过去排行榜
	# mode:
	#   daily - 每日
	#   weekly - 每周
	#   monthly - 每月
	#   male - 男性热门
	#   female - 女性热门
	#   original - 原创
	#   rookie - Rookie
	#   daily_r18 - R18每日
	#   weekly_r18 - R18每周
	#   male_r18
	#   female_r18
	#   r18g
	# page: 1-n
	# date: '2015-04-01' (仅过去排行榜)
	def ranking_all(self, mode='daily', page=1, per_page=50, date=None):

	# 搜索
	# query: 搜索的文字
	# page: 1-n
	# mode:
	#   text - 标题/描述
	#   tag - 非精确标签
	#   exact_tag - 精确标签
	#   caption - 描述
	# period (only applies to asc order):  
	#   all - 所有
	#   day - 一天之内
	#   week - 一周之内
	#   month - 一月之内
	# order:
	#   desc - 新顺序
	#   asc - 旧顺序
	def search_works(self, query, page=1, per_page=30, mode='text',
		period='all', order='desc', sort='date'):

# 作品详细 PAPI.works
json_result = api.works(46363414)
print(json_result)
illust = json_result.response[0]
print( ">>> %s, origin url: %s" % (illust.caption, illust.image_urls['large']))

# 用户资料 PAPI.users
json_result = api.users(1184799)
print(json_result)
user = json_result.response[0]
print(user.profile.introduction)

# 我的订阅 PAPI.me_feeds
json_result = api.me_feeds(show_r18=0)
print(json_result)
ref_work = json_result.response[0].ref_work
print(ref_work.title)

# 我的收藏列表(private) PAPI.me_favorite_works
json_result = api.me_favorite_works(publicity='private')
print(json_result)
illust = json_result.response[0].work
print("[%s] %s: %s" % (illust.user.name, illust.title, illust.image_urls.px_480mw))

# 关注的新作品[New -> Follow] PAPI.me_following_works
json_result = api.me_following_works()
print(json_result)
illust = json_result.response[0]
print(">>> %s, origin url: %s" % (illust.caption, illust.image_urls['large']))

# 我关注的用户 PAPI.me_following
json_result = api.me_following()
print(json_result)
user = json_result.response[0]
print(user.name)

# 用户作品 PAPI.users_works
json_result = api.users_works(1184799)
print(json_result)
illust = json_result.response[0]
print(">>> %s, origin url: %s" % (illust.caption, illust.image_urls['large']))

# 用户收藏 PAPI.users_favorite_works
json_result = api.users_favorite_works(1184799)
print(json_result)
illust = json_result.response[0].work
print(">>> %s origin url: %s" % (illust.caption, illust.image_urls['large']))

# 获取收藏夹 PAPI.me_favorite_works
json_result = api.me_favorite_works()
print(json_result)
ids = json_result.response[0].id

# 添加收藏 PAPI.me_favorite_works_add
json_result = api.me_favorite_works_add(46363414)
print(json_result)

# 删除收藏 PAPI.me_favorite_works_delete
json_result = api.me_favorite_works_delete(ids)
print(json_result)

# 关注用户 PAPI.me_favorite_users_follow
json_result = api.me_favorite_users_follow(1184799)
print(json_result)

# 排行榜 PAPI.ranking(illust)
json_result = api.ranking('illust', 'weekly', 1)
print(json_result)
illust = json_result.response[0].works[0].work
print(">>> %s origin url: %s" % (illust.title, illust.image_urls['large']))

# 过去排行榜 PAPI.ranking(all, 2015-05-01)
json_result = api.ranking(ranking_type='all', mode='daily', page=1, date='2015-05-01')
print(json_result)
illust = json_result.response[0].works[0].work
print(">>> %s origin url: %s" % (illust.title, illust.image_urls['large']))

# 标题(text)/标签(exact_tag)搜索 PAPI.search_works
#json_result = api.search_works("五航戦 姉妹", page=1, mode='text')
json_result = api.search_works("水遊び", page=1, mode='exact_tag')
print(json_result)
illust = json_result.response[0]
print(">>> %s origin url: %s" % (illust.title, illust.image_urls['large']))

# 最新作品列表[New -> Everyone] PAPI.latest_works
json_result = api.latest_works()
print(json_result)
illust = json_result.response[0]
print(">>> %s url: %s" % (illust.title, illust.image_urls.px_480mw))