我目前正在基于GeoDjango构建一个Web应用程序，我想检查多边形内是否存在许多点。为了形成多边形，我检查了选中的区域，然后使用以下查询将它们聚合为一个多边形：
area = Area.objects.filter(id__in = area_ids).aggregate(area=Union('geom'))['area']
print(area)
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52.321734, 4.857651 52.321689, 4.857614 52.321429, 4.856755 52.321413, 4.856747 52.321555, 4.856566 52.321562, 4.856569 52.321767, 4.856334 52.321762, 4.856422 52.328846, 4.855924 52.330318, 4.848007 52.33057, 4.847565 52.330046, 4.845237 52.329682, 4.843961 52.330218, 4.840517 52.329589, 4.839477 52.329146, 4.839631 52.327559, 4.839414 52.327546, 4.839405 52.327359, 4.826061 52.325928, 4.825179 52.325731, 4.819887 52.325759, 4.819469 52.325569, 4.818426 52.325557, 4.817711 52.326438, 4.817129 52.32692, 4.816404 52.327406, 4.815436 52.327893, 4.797766 52.335283, 4.797326 52.335596, 4.791782 52.341027, 4.790541 52.341842, 4.77174 52.349558, 4.75733 52.355203, 4.756106 52.355829, 4.755684 52.35615, 4.755104 52.356832, 4.754941 52.357219, 4.754837 52.357907, 4.754902 52.358384, 4.757984 52.369239, 4.758511 52.371241, 4.758596 52.372218, 4.75838 52.374015, 4.758047 52.375065, 4.75753 52.376189, 4.756434 52.377764, 4.757257 52.377979, 4.759125 52.379329, 4.758944 52.38442, 4.758513 52.387194, 4.758006 52.38955, 4.75801 52.394029, 4.757818 52.396663, 4.757448 52.396893, 4.756022 52.397103, 4.756053 52.397192, 4.728759 52.400711, 4.739208 52.431064, 4.76656 52.427549), (4.971393 52.365449, 4.970903 52.364523, 4.970873 52.364467, 4.971352 52.364883, 4.971786 52.365148, 4.97228 52.365326, 4.972021 52.365431, 4.971393 52.365449), (4.969986 52.365734, 4.970311 52.365281, 4.970388 52.364659, 4.970868 52.365611, 4.970338 52.365782, 4.969986 52.365734), (4.962275 52.368559, 4.958395 52.368523, 4.958009 52.368426, 4.957877 52.368182, 4.957959 52.367695, 4.957777 52.367662, 4.957813 52.36751, 4.958008 52.367525, 4.958161 52.366866, 4.959434 52.367113, 4.959483 52.366944, 4.959653 52.366866, 4.959554 52.366457, 4.958608 52.366263, 4.958552 52.366059, 4.95994 52.366299, 4.961104 52.366815, 4.961676 52.367273, 4.962008 52.367688, 4.962275 52.368559), (4.961478 52.381664, 4.961453 52.381605, 4.96132 52.381663, 4.961183 52.381563, 4.961623 52.381318, 4.96122 52.381485, 4.961083 52.38134, 4.961373 52.381151, 4.960883 52.381354, 4.960791 52.381157, 4.960297 52.38139, 4.960198 52.381311, 4.960376 52.381234, 4.959962 52.380967, 4.959547 52.380934, 4.958993 52.381069, 4.958858 52.380962, 4.959072 52.380816, 4.958757 52.380608, 4.95905 52.380587, 4.961618 52.379907, 4.961868 52.379783, 4.961743 52.379609, 4.958835 52.380378, 4.958706 52.380163, 4.961633 52.379388, 4.961389 52.379057, 4.961149 52.379127, 4.961254 52.379285, 4.959965 52.379644, 4.959861 52.37947, 4.961633 52.378504, 4.961752 52.378587, 4.961975 52.378459, 4.961861 52.378383, 4.964718 52.376878, 4.96829 52.379564, 4.965772 52.381865, 4.965209 52.382155, 4.964214 52.382979, 4.963296 52.383586, 4.961163 52.381801, 4.961478 52.381664), (4.962389 52.36857, 4.962069 52.367587, 4.961346 52.366878, 4.960143 52.366295, 4.959315 52.366087, 4.958518 52.365989, 4.958465 52.365789, 4.958937 52.365728, 4.960183 52.365997, 4.960842 52.366046, 4.961086 52.365991, 4.961461 52.365638, 4.961465 52.365193, 4.961621 52.365108, 4.962091 52.365119, 4.962206 52.364952, 4.96235 52.364497, 4.96227 52.3642, 4.961998 52.364025, 4.961582 52.363987, 4.961442 52.363703, 4.960745 52.36384, 4.95993 52.364242, 4.959395 52.365089, 4.959309 52.365074, 4.95945 52.364698, 4.959979 52.364051, 4.960805 52.363704, 4.962195 52.363312, 4.96517 52.36187, 4.968328 52.36092, 4.969895 52.363828, 4.97021 52.364597, 4.970193 52.365032, 4.96996 52.365509, 4.969789 52.365707, 4.969423 52.365668, 4.969227 52.365803, 4.968909 52.366187, 4.968728 52.366823, 4.968898 52.367287, 4.969888 52.368214, 4.969125 52.368628, 4.962389 52.36857)))
然后，我从 流 查询集中检索了所有点，这些点最初包含在这些点中，并注释它们到另一个 链 < / strong>使用新名称（'producer_geom'）的查询集：
subq = flows.filter(chains_id=OuterRef('pk'),
origin_role='producer')
chains = chains.annotate(pro_geom=
Subquery(subq.values('origin__administrative_location__geom'))
)
结果如下：
print(chains.values_list('id', 'pro_geom'))
<QuerySet [(10804, <Point object at 0x7f656e633de0>), (10803, <Point object at 0x7f656e649ab0>), (10802, <Point object at 0x7f656e649bc0>), '...(remaining elements truncated)...']>
但是当我尝试过滤链时，要收集生产者点与区域multipolygon所在的链的ID，
chains = chains.filter(pro_geom__within=area)
我收到以下错误消息：
Traceback (most recent call last):
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/core/handlers/exception.py", line 34, in inner
response = get_response(request)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/core/handlers/base.py", line 115, in _get_response
response = self.process_exception_by_middleware(e, request)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/core/handlers/base.py", line 113, in _get_response
response = wrapped_callback(request, *callback_args, **callback_kwargs)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/views/decorators/csrf.py", line 54, in wrapped_view
return view_func(*args, **kwargs)
File "/home/geofluxus/.local/lib/python3.6/site-packages/rest_framework/viewsets.py", line 116, in view
return self.dispatch(request, *args, **kwargs)
File "/home/geofluxus/.local/lib/python3.6/site-packages/reversion/views.py", line 35, in do_revision_view
response = func(request, *args, **kwargs)
File "/home/geofluxus/.local/lib/python3.6/site-packages/rest_framework/views.py", line 495, in dispatch
response = self.handle_exception(exc)
File "/home/geofluxus/.local/lib/python3.6/site-packages/rest_framework/views.py", line 455, in handle_exception
self.raise_uncaught_exception(exc)
File "/home/geofluxus/.local/lib/python3.6/site-packages/rest_framework/views.py", line 466, in raise_uncaught_exception
raise exc
File "/home/geofluxus/.local/lib/python3.6/site-packages/rest_framework/views.py", line 492, in dispatch
response = handler(request, *args, **kwargs)
File "/home/geofluxus/Desktop/geoFluxus/repair/apps/utils/views.py", line 36, in create
return self.post_get(request, **kwargs)
File "/home/geofluxus/Desktop/geoFluxus/repair/apps/asmfa/views/flowfilter.py", line 206, in post_get
queryset = self.filter_chain(queryset, filter_chains, keyflow)
File "/home/geofluxus/Desktop/geoFluxus/repair/apps/asmfa/views/flowfilter.py", line 356, in filter_chain
queryset = build_chain_filter(sub_filter, queryset, keyflow)
File "/home/geofluxus/Desktop/geoFluxus/repair/apps/asmfa/views/flowfilter.py", line 151, in build_chain_filter
chains = list(chains.values_list('id', flat=True))
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/query.py", line 274, in __iter__
self._fetch_all()
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/query.py", line 1242, in _fetch_all
self._result_cache = list(self._iterable_class(self))
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/query.py", line 182, in __iter__
for row in compiler.results_iter(chunked_fetch=self.chunked_fetch, chunk_size=self.chunk_size):
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 1052, in results_iter
results = self.execute_sql(MULTI, chunked_fetch=chunked_fetch, chunk_size=chunk_size)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 1087, in execute_sql
sql, params = self.as_sql()
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 489, in as_sql
where, w_params = self.compile(self.where) if self.where is not None else ("", [])
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 405, in compile
sql, params = node.as_sql(self, self.connection)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/where.py", line 81, in as_sql
sql, params = compiler.compile(child)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 405, in compile
sql, params = node.as_sql(self, self.connection)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/where.py", line 81, in as_sql
sql, params = compiler.compile(child)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 405, in compile
sql, params = node.as_sql(self, self.connection)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/where.py", line 81, in as_sql
sql, params = compiler.compile(child)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/db/models/sql/compiler.py", line 405, in compile
sql, params = node.as_sql(self, self.connection)
File "/home/geofluxus/.local/lib/python3.6/site-packages/django/contrib/gis/db/models/lookups.py", line 79, in as_sql
sql_params.extend(rhs_params)
AttributeError: 'tuple' object has no attribute 'extend'
从回溯中可以看到，问题出在Django GIS查找中，因为sql_params是一个元组对象，因此无法扩展。我可以添加以下检查，然后一切正常：
if isinstance(sql_params, tuple): sql_params = list[sql_params]
但是，我想弄清楚是不是搞砸了，还是真的是Django的错误。
PS。由于某种原因，此查询集似乎可以工作：
chains = chains.filter(pro_geom__isvalid=True)