修改了响应格式
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jlj
parent
bca9490fba
commit
6335b3b9f6
@ -1257,7 +1257,7 @@ def get_creator_followers_metrics(request, creator_id=None):
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"""获取创作者的粉丝统计指标数据"""
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try:
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import json
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from datetime import datetime
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from datetime import datetime, timedelta
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# 检查creator_id是否提供
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if not creator_id:
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@ -1286,6 +1286,9 @@ def get_creator_followers_metrics(request, creator_id=None):
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if not follower_metrics:
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# 如果没有数据，返回示例数据
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from datetime import datetime, timedelta
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end_date = datetime.now().date()
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start_date = end_date - timedelta(days=30)
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follower_data = {
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'gender': {
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'female': 0,
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@ -1305,10 +1308,7 @@ def get_creator_followers_metrics(request, creator_id=None):
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'GE': 0,
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'CA': 0
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},
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'date_range': {
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'start_date': '2025-03-29',
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'end_date': '2025-04-28'
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}
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'date_range': f"{start_date.strftime('%b %d, %Y')} - {end_date.strftime('%b %d, %Y')}"
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}
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else:
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# 构建粉丝统计数据
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@ -1331,10 +1331,7 @@ def get_creator_followers_metrics(request, creator_id=None):
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'55+': round(follower_metrics.age_55_plus_percentage, 2)
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},
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'locations': processed_locations,
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'date_range': {
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'start_date': follower_metrics.start_date.strftime('%Y-%m-%d'),
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'end_date': follower_metrics.end_date.strftime('%Y-%m-%d')
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}
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'date_range': f"{follower_metrics.start_date.strftime('%b %d, %Y')} - {follower_metrics.end_date.strftime('%b %d, %Y')}"
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}
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return JsonResponse({
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@ -1461,10 +1458,7 @@ def get_creator_trends(request, creator_id=None):
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base_views = views_value
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base_engagement = engagement_value
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trend_data['date_range'] = {
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'start_date': example_date_range[0],
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'end_date': example_date_range[-1]
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}
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trend_data['date_range'] = f"{datetime.strptime(example_date_range[0], '%Y-%m-%d').strftime('%b %d, %Y')} - {datetime.strptime(example_date_range[-1], '%Y-%m-%d').strftime('%b %d, %Y')}"
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else:
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# 从数据库构建趋势数据
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trend_data = {
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@ -1484,10 +1478,7 @@ def get_creator_trends(request, creator_id=None):
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trend_data['engagement_rate'].append(round(trend.engagement_rate, 2))
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trend_data['dates'].append(trend.date.strftime('%Y-%m-%d'))
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trend_data['date_range'] = {
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'start_date': trend_data['dates'][0] if trend_data['dates'] else start_date.strftime('%Y-%m-%d'),
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'end_date': trend_data['dates'][-1] if trend_data['dates'] else end_date.strftime('%Y-%m-%d')
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}
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trend_data['date_range'] = f"{datetime.strptime(trend_data['dates'][0], '%Y-%m-%d').strftime('%b %d, %Y')} - {datetime.strptime(trend_data['dates'][-1], '%Y-%m-%d').strftime('%b %d, %Y')}"
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return JsonResponse({
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'code': 200,
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@ -2040,6 +2031,45 @@ def get_public_creators(request):
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creator__category__icontains=keyword
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)
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# 观看量范围过滤，单选
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views_range = request.GET.get('views_range')
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if views_range and len(views_range) > 0:
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views_val = views_range[0] # 单选，取第一个值
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if ',' in views_val:
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# 新格式: "1000,10000"
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try:
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views_min, views_max = views_val.split(',')
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views_min = int(views_min.strip())
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views_max = int(views_max.strip())
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public_creators = public_creators.filter(
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creator__avg_video_views__gte=views_min,
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creator__avg_video_views__lte=views_max
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)
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except (ValueError, IndexError):
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# 如果解析失败，忽略此过滤条件
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pass
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else:
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# 兼容旧格式，保持原有逻辑
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views_min, views_max = 0, float('inf')
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if views_val == "0-100":
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views_min, views_max = 0, 100
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elif views_val == "1k-10k":
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views_min, views_max = 1000, 10000
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elif views_val == "10k-100k":
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views_min, views_max = 10000, 100000
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elif views_val == "100k-250k":
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views_min, views_max = 100000, 250000
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elif views_val == "250k-500k":
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views_min, views_max = 250000, 500000
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elif views_val == "500k+":
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views_min = 500000
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if views_min > 0:
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public_creators = public_creators.filter(creator__avg_video_views__gte=views_min)
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if views_max < float('inf'):
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public_creators = public_creators.filter(creator__avg_video_views__lte=views_max)
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# 获取总数据量
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total_count = public_creators.count()
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@ -2934,8 +2964,24 @@ def filter_public_creators(request):
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# 观看量范围过滤，单选
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views_range = filter_data.get('views_range')
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if views_range and len(views_range) > 0:
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views_val = views_range[0] # 单选，取第一个值
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if ',' in views_val:
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# 新格式: "1000,10000"
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try:
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views_min, views_max = views_val.split(',')
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views_min = int(views_min.strip())
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views_max = int(views_max.strip())
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public_creators = public_creators.filter(
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creator__avg_video_views__gte=views_min,
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creator__avg_video_views__lte=views_max
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)
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except (ValueError, IndexError):
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# 如果解析失败，忽略此过滤条件
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pass
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else:
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# 兼容旧格式，保持原有逻辑
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views_min, views_max = 0, float('inf')
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views_val = views_range[0]
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if views_val == "0-100":
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views_min, views_max = 0, 100
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elif views_val == "1k-10k":
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@ -2954,20 +3000,6 @@ def filter_public_creators(request):
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if views_max < float('inf'):
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public_creators = public_creators.filter(creator__avg_video_views__lte=views_max)
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# 价格区间过滤逻辑，单选
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pricing = filter_data.get('pricing')
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if pricing and len(pricing) > 0:
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pricing_val = pricing[0]
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if '-' in pricing_val:
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min_price, max_price = pricing_val.split('-')
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min_price = float(min_price)
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max_price = float(max_price)
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# 修改：根据单一定价字段判断是否在区间内
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public_creators = public_creators.filter(
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creator__pricing__gte=min_price,
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creator__pricing__lte=max_price
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)
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# 获取总数据量
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total_count = public_creators.count()
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@ -3165,8 +3197,24 @@ def filter_private_pool_creators(request):
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# 观看量范围过滤，单选
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views_range = filter_data.get('views_range')
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if views_range and len(views_range) > 0:
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views_val = views_range[0] # 单选，取第一个值
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if ',' in views_val:
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# 新格式: "1000,10000"
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try:
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views_min, views_max = views_val.split(',')
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views_min = int(views_min.strip())
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views_max = int(views_max.strip())
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creator_relations = creator_relations.filter(
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creator__avg_video_views__gte=views_min,
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creator__avg_video_views__lte=views_max
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)
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except (ValueError, IndexError):
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# 如果解析失败，忽略此过滤条件
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pass
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else:
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# 兼容旧格式，保持原有逻辑
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views_min, views_max = 0, float('inf')
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views_val = views_range[0]
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if views_val == "0-100":
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views_min, views_max = 0, 100
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elif views_val == "1k-10k":
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@ -3188,16 +3236,35 @@ def filter_private_pool_creators(request):
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# 价格区间过滤逻辑，单选
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pricing = filter_data.get('pricing')
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if pricing and len(pricing) > 0:
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pricing_val = pricing[0]
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if '-' in pricing_val:
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min_price, max_price = pricing_val.split('-')
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min_price = float(min_price)
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max_price = float(max_price)
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# 修改：根据单一定价字段判断是否在区间内
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pricing_val = pricing[0] # 单选，取第一个值
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if ',' in pricing_val:
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# 新格式: "100,500"
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try:
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min_price, max_price = pricing_val.split(',')
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min_price = float(min_price.strip())
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max_price = float(max_price.strip())
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creator_relations = creator_relations.filter(
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creator__pricing__gte=min_price,
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creator__pricing__lte=max_price
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)
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except (ValueError, IndexError):
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# 如果解析失败，忽略此过滤条件
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pass
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elif '-' in pricing_val:
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# 兼容旧格式: "100-500"
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try:
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min_price, max_price = pricing_val.split('-')
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min_price = float(min_price.strip())
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max_price = float(max_price.strip())
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creator_relations = creator_relations.filter(
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creator__pricing__gte=min_price,
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creator__pricing__lte=max_price
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)
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except (ValueError, IndexError):
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# 如果解析失败，忽略此过滤条件
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pass
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# 获取总数据量
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total_count = creator_relations.count()
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