def ads_list():
oblast_district = request.args.get('oblast_district')
type_conversion_dict = TypeConversionDict(
under_construction=request.args.get('min_price') or MIN_PRICE)
min_price = type_conversion_dict.get('under_construction', type=int)
type_conversion_dict = TypeConversionDict(
under_construction=request.args.get('max_price') or MAX_PRICE)
max_price = type_conversion_dict.get('under_construction', type=int)
type_conversion_dict = TypeConversionDict(
under_construction=request.args.get('new_building'))
under_construction = type_conversion_dict.get('under_construction',
type=bool)
flats = Flat.query.join(Location).filter(
Location.oblast_district == oblast_district,
Flat.price >= min_price, Flat.price <= max_price,
Flat.under_construction.is_(under_construction),
Flat.is_active.is_(True)).order_by(Flat.price.asc())
if not any(
[oblast_district, min_price != MIN_PRICE, max_price != MAX_PRICE]):
flats = Flat.query.order_by(Flat.price.asc())
page, per_page, offset = get_page_args(page_parameter='page',
per_page_parameter='per_page')
pagination_flats = get_flats(flats, offset=offset, per_page=per_page)
pagination = Pagination(page=page, per_page=per_page, total=flats.count())
return render_template('ads_list.html',
flats=pagination_flats,
pagination=pagination,
page=page,
per_page=per_page,
major_locations=MAJOR_LOCATIONS,
locations=LOCATIONS)
def before_request():
decorate_endpoints()
d = TypeConversionDict(request.cookies)
d['request_time'] = time.time()
request.cookies = ImmutableTypeConversionDict(d)
logging.info("before_request %s" % request)
def stac_search():
"""
Search api for stac items.
"""
if request.method == "GET":
args = request.args
else:
args = TypeConversionDict(request.get_json())
products = args.get("collections", default=[], type=_array_arg)
if "collection" in args:
products.append(args.get("collection"))
# Fallback for legacy 'product' argument
elif "product" in args:
products.append(args.get("product"))
return _geojson_stac_response(_handle_search_request(args, products))
def _handle_search_request(
request_args: TypeConversionDict,
product_names: List[str],
) -> Dict:
bbox = request_args.get("bbox",
type=partial(_array_arg,
expect_size=4,
expect_type=float))
# Stac-api <=0.7.0 used 'time', later versions use 'datetime'
time = request_args.get("datetime") or request_args.get("time")
limit = request_args.get("limit", default=DEFAULT_PAGE_SIZE, type=int)
ids = request_args.get("ids",
default=None,
type=partial(_array_arg, expect_type=uuid.UUID))
offset = request_args.get("_o", default=0, type=int)
# Request the full Item information. This forces us to go to the
# ODC dataset table for every record, which can be extremely slow.
full_information = request_args.get("_full",
default=DEFAULT_RETURN_FULL_ITEMS,
type=_bool_argument)
if limit > PAGE_SIZE_LIMIT:
abort(
400,
f"Max page size is {PAGE_SIZE_LIMIT}. "
f"Use the next links instead of a large limit.",
)
if bbox is not None and len(bbox) != 4:
abort(
400,
"Expected bbox of size 4. [min lon, min lat, max long, max lat]")
if time is not None:
time = _parse_time_range(time)
def next_page_url(next_offset):
return url_for(
".stac_search",
collections=product_names,
bbox="{},{},{},{}".format(*bbox) if bbox else None,
time=_unparse_time_range(time) if time else None,
ids=",".join(map(str, ids)) if ids else None,
limit=limit,
_o=next_offset,
)
return search_stac_items(
product_names=product_names,
bbox=bbox,
time=time,
dataset_ids=ids,
limit=limit,
offset=offset,
get_next_url=next_page_url,
full_information=full_information,
)
def _handle_search_request(
request_args: TypeConversionDict,
product_names: List[str],
require_geometry: bool = True,
include_total_count: bool = True,
) -> Dict:
bbox = request_args.get("bbox",
type=partial(_array_arg,
expect_size=4,
expect_type=float))
# Stac-api <=0.7.0 used 'time', later versions use 'datetime'
time = request_args.get("datetime") or request_args.get("time")
limit = request_args.get("limit", default=DEFAULT_PAGE_SIZE, type=int)
ids = request_args.get("ids",
default=None,
type=partial(_array_arg, expect_type=uuid.UUID))
offset = request_args.get("_o", default=0, type=int)
# Request the full Item information. This forces us to go to the
# ODC dataset table for every record, which can be extremely slow.
full_information = request_args.get("_full",
default=DEFAULT_RETURN_FULL_ITEMS,
type=_bool_argument)
if "intersects" in request_args:
raise werkzeug.exceptions.NotImplemented(
"'intersects' queries are not yet supported, sorry.")
if limit > PAGE_SIZE_LIMIT:
abort(
400,
f"Max page size is {PAGE_SIZE_LIMIT}. "
f"Use the next links instead of a large limit.",
)
if bbox is not None and len(bbox) != 4:
abort(
400,
"Expected bbox of size 4. [min lon, min lat, max long, max lat]")
if time is not None:
time = _parse_time_range(time)
def next_page_url(next_offset):
return url_for(
".stac_search",
collections=product_names,
bbox="{},{},{},{}".format(*bbox) if bbox else None,
time=_unparse_time_range(time) if time else None,
ids=",".join(map(str, ids)) if ids else None,
limit=limit,
_o=next_offset,
_full=full_information,
)
feature_collection = search_stac_items(
product_names=product_names,
bbox=bbox,
time=time,
dataset_ids=ids,
limit=limit,
offset=offset,
get_next_url=next_page_url,
full_information=full_information,
require_geometry=require_geometry,
include_total_count=include_total_count,
)
feature_collection["links"].extend((
dict(
href=url_for(".stac_search"),
rel="search",
title="Search",
type="application/geo+json",
method="GET",
),
dict(
href=url_for(".stac_search"),
rel="search",
title="Search",
type="application/geo+json",
method="POST",
),
))
return feature_collection