better cache
Some checks failed
Build and deploy the backend to staging / Build and push image (pull_request) Successful in 1m49s
Run linting on the backend code / Build (pull_request) Successful in 28s
Run testing on the backend code / Build (pull_request) Failing after 10m55s
Build and deploy the backend to staging / Deploy to staging (pull_request) Successful in 24s
Some checks failed
Build and deploy the backend to staging / Build and push image (pull_request) Successful in 1m49s
Run linting on the backend code / Build (pull_request) Successful in 28s
Run testing on the backend code / Build (pull_request) Failing after 10m55s
Build and deploy the backend to staging / Deploy to staging (pull_request) Successful in 24s
This commit is contained in:
parent
3605408ebb
commit
a3243431e0
File diff suppressed because one or more lines are too long
@ -29,8 +29,99 @@ class Overpass :
|
||||
self.caching_strategy = CachingStrategy.use(caching_strategy, cache_dir=cache_dir)
|
||||
|
||||
|
||||
@classmethod
|
||||
def build_query(self, bbox: tuple, osm_types: OSM_TYPES,
|
||||
def send_query(self, bbox: tuple, osm_types: OSM_TYPES,
|
||||
selector: str, conditions=[], out='center') -> ET:
|
||||
"""
|
||||
Sends the Overpass QL query to the Overpass API and returns the parsed JSON response.
|
||||
|
||||
Args:
|
||||
query (str): The Overpass QL query to be sent to the Overpass API.
|
||||
|
||||
Returns:
|
||||
dict: The parsed JSON response from the Overpass API, or None if the request fails.
|
||||
"""
|
||||
# Determine which grid cells overlap with this bounding box.
|
||||
overlapping_cells = Overpass.get_overlapping_cells(bbox)
|
||||
|
||||
# Check the cache for any data that overlaps with these cells
|
||||
cell_key_dict = {}
|
||||
for cell in overlapping_cells :
|
||||
for elem in osm_types :
|
||||
key_str = f"{elem}[{selector}]{conditions}({','.join(map(str, cell))})"
|
||||
|
||||
cell_key_dict[cell] = get_cache_key(key_str)
|
||||
|
||||
cached_responses = []
|
||||
hollow_cache_keys = []
|
||||
|
||||
# Retrieve the cached data and mark the missing entries as hollow
|
||||
for cell, key in cell_key_dict.items():
|
||||
cached_data = self.caching_strategy.get(key)
|
||||
if cached_data is not None :
|
||||
cached_responses.append(cached_data)
|
||||
else:
|
||||
# Cache miss: Mark the cache key as hollow
|
||||
self.caching_strategy.set_hollow(key, cell, osm_types, selector, conditions, out)
|
||||
hollow_cache_keys.append(key)
|
||||
|
||||
# If there is no missing data, return the cached responses
|
||||
if not hollow_cache_keys :
|
||||
self.logger.debug(f'Cache hit.')
|
||||
return self.combine_cached_data(cached_responses)
|
||||
|
||||
# TODO If there is SOME missing data : hybrid stuff with partial cache
|
||||
|
||||
# Build the query string in case of needed overpass query
|
||||
query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
|
||||
|
||||
# Prepare the data to be sent as POST request, encoded as bytes
|
||||
data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
|
||||
|
||||
try:
|
||||
# Create a Request object with the specified URL, data, and headers
|
||||
request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
|
||||
|
||||
# Send the request and read the response
|
||||
with urllib.request.urlopen(request) as response:
|
||||
# Read and decode the response
|
||||
response_data = response.read().decode('utf-8')
|
||||
root = ET.fromstring(response_data)
|
||||
|
||||
self.logger.debug(f'Cache miss. Fetching data through Overpass\nQuery = {query_str}')
|
||||
|
||||
return root
|
||||
|
||||
except urllib.error.URLError as e:
|
||||
raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
|
||||
|
||||
|
||||
def fill_cache(self, xml_string: str) :
|
||||
|
||||
# Build the query using info from hollow cache entry
|
||||
query_str, cache_key = Overpass.build_query_from_hollow(xml_string)
|
||||
|
||||
# Prepare the data to be sent as POST request, encoded as bytes
|
||||
data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
|
||||
|
||||
try:
|
||||
# Create a Request object with the specified URL, data, and headers
|
||||
request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
|
||||
|
||||
# Send the request and read the response
|
||||
with urllib.request.urlopen(request) as response:
|
||||
# Read and decode the response
|
||||
response_data = response.read().decode('utf-8')
|
||||
root = ET.fromstring(response_data)
|
||||
|
||||
self.caching_strategy.set(cache_key, root)
|
||||
self.logger.debug(f'Cache set')
|
||||
|
||||
except urllib.error.URLError as e:
|
||||
raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
|
||||
|
||||
|
||||
@staticmethod
|
||||
def build_query(bbox: tuple, osm_types: OSM_TYPES,
|
||||
selector: str, conditions=[], out='center') -> str:
|
||||
"""
|
||||
Constructs a query string for the Overpass API to retrieve OpenStreetMap (OSM) data.
|
||||
@ -78,73 +169,8 @@ class Overpass :
|
||||
return query
|
||||
|
||||
|
||||
def send_query(self, bbox: tuple, osm_types: OSM_TYPES,
|
||||
selector: str, conditions=[], out='center') -> ET:
|
||||
"""
|
||||
Sends the Overpass QL query to the Overpass API and returns the parsed JSON response.
|
||||
|
||||
Args:
|
||||
query (str): The Overpass QL query to be sent to the Overpass API.
|
||||
|
||||
Returns:
|
||||
dict: The parsed JSON response from the Overpass API, or None if the request fails.
|
||||
"""
|
||||
# Determine which grid cells overlap with this bounding box.
|
||||
overlapping_cells = self.get_overlapping_cells(bbox)
|
||||
|
||||
# Check the cache for any data that overlaps with these cells
|
||||
cell_key_dict = {}
|
||||
for cell in overlapping_cells :
|
||||
for elem in osm_types :
|
||||
key_str = f"{elem}[{selector}]{conditions}({','.join(map(str, cell))})"
|
||||
|
||||
cell_key_dict[cell] = get_cache_key(key_str)
|
||||
|
||||
cached_responses = []
|
||||
hollow_cache_keys = []
|
||||
|
||||
# Retrieve the cached data and mark the missing entries as hollow
|
||||
for cell, key in cell_key_dict.items():
|
||||
cached_data = self.caching_strategy.get(key)
|
||||
if cached_data is not None :
|
||||
cached_responses.append(cached_data)
|
||||
else:
|
||||
# Cache miss: Mark the cache key as hollow
|
||||
self.caching_strategy.set_hollow(key, cell, osm_types, selector, conditions, out)
|
||||
hollow_cache_keys.append(key)
|
||||
|
||||
# If there is no missing data, return the cached responses
|
||||
if not hollow_cache_keys :
|
||||
self.logger.debug(f'Cache hit.')
|
||||
return self.combine_cached_data(cached_responses)
|
||||
|
||||
# TODO If there is SOME missing data : hybrid stuff with partial cache
|
||||
|
||||
# Build the query string in case of needed overpass query
|
||||
query_str = self.build_query(bbox, osm_types, selector, conditions, out)
|
||||
|
||||
# Prepare the data to be sent as POST request, encoded as bytes
|
||||
data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
|
||||
|
||||
try:
|
||||
# Create a Request object with the specified URL, data, and headers
|
||||
request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
|
||||
|
||||
# Send the request and read the response
|
||||
with urllib.request.urlopen(request) as response:
|
||||
# Read and decode the response
|
||||
response_data = response.read().decode('utf-8')
|
||||
root = ET.fromstring(response_data)
|
||||
|
||||
self.logger.debug(f'Cache miss. Fetching data through Overpass\nQuery = {query_str}')
|
||||
|
||||
return root
|
||||
|
||||
except urllib.error.URLError as e:
|
||||
raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
|
||||
|
||||
|
||||
def build_query_from_hollow(self, xml_string):
|
||||
@staticmethod
|
||||
def build_query_from_hollow(xml_string):
|
||||
"""Extract variables from an XML string."""
|
||||
|
||||
# Parse the XML string into an ElementTree object
|
||||
@ -153,17 +179,19 @@ class Overpass :
|
||||
# Extract values from the XML tree
|
||||
key = root.find('key').text
|
||||
cell = tuple(map(float, root.find('cell').text.strip('()').split(',')))
|
||||
bbox = self.get_bbox_from_grid_cell(cell[0], cell[1])
|
||||
bbox = Overpass.get_bbox_from_grid_cell(cell[0], cell[1])
|
||||
osm_types = root.find('osm_types').text.split(',')
|
||||
selector = root.find('selector').text
|
||||
conditions = root.find('conditions').text.split(',') if root.find('conditions').text != "none" else []
|
||||
out = root.find('out').text
|
||||
|
||||
query_str = self.build_query(bbox, osm_types, selector, conditions, out)
|
||||
query_str = Overpass.build_query(bbox, osm_types, selector, conditions, out)
|
||||
|
||||
return query_str, key
|
||||
|
||||
def get_grid_cell(self, lat: float, lon: float):
|
||||
|
||||
@staticmethod
|
||||
def get_grid_cell(lat: float, lon: float):
|
||||
"""
|
||||
Returns the grid cell coordinates for a given latitude and longitude.
|
||||
Each grid cell is 0.05°lat x 0.05°lon resolution in size.
|
||||
@ -173,7 +201,8 @@ class Overpass :
|
||||
return (lat_index, lon_index)
|
||||
|
||||
|
||||
def get_bbox_from_grid_cell(self, lat_index: int, lon_index: int):
|
||||
@staticmethod
|
||||
def get_bbox_from_grid_cell(lat_index: int, lon_index: int):
|
||||
"""
|
||||
Returns the bounding box for a given grid cell index.
|
||||
Each grid cell is resolution x resolution in size.
|
||||
@ -191,16 +220,16 @@ class Overpass :
|
||||
return (min_lat, min_lon, max_lat, max_lon)
|
||||
|
||||
|
||||
|
||||
def get_overlapping_cells(self, query_bbox: tuple):
|
||||
@staticmethod
|
||||
def get_overlapping_cells(query_bbox: tuple):
|
||||
"""
|
||||
Returns a set of all grid cells that overlap with the given bounding box.
|
||||
"""
|
||||
# Extract location from the query bbox
|
||||
lat_min, lon_min, lat_max, lon_max = query_bbox
|
||||
|
||||
min_lat_cell, min_lon_cell = self.get_grid_cell(lat_min, lon_min)
|
||||
max_lat_cell, max_lon_cell = self.get_grid_cell(lat_max, lon_max)
|
||||
min_lat_cell, min_lon_cell = Overpass.get_grid_cell(lat_min, lon_min)
|
||||
max_lat_cell, max_lon_cell = Overpass.get_grid_cell(lat_max, lon_max)
|
||||
|
||||
overlapping_cells = set()
|
||||
for lat_idx in range(min_lat_cell, max_lat_cell + 1):
|
||||
@ -210,7 +239,8 @@ class Overpass :
|
||||
return overlapping_cells
|
||||
|
||||
|
||||
def combine_cached_data(self, cached_data_list):
|
||||
@staticmethod
|
||||
def combine_cached_data(cached_data_list):
|
||||
"""
|
||||
Combines data from multiple cached responses into a single result.
|
||||
"""
|
||||
@ -221,30 +251,6 @@ class Overpass :
|
||||
return combined_data
|
||||
|
||||
|
||||
def fill_cache(self, query_str: str, cache_key) :
|
||||
|
||||
# Prepare the data to be sent as POST request, encoded as bytes
|
||||
data = urllib.parse.urlencode({'data': query_str}).encode('utf-8')
|
||||
|
||||
try:
|
||||
# Create a Request object with the specified URL, data, and headers
|
||||
request = urllib.request.Request(self.overpass_url, data=data, headers=self.headers)
|
||||
|
||||
# Send the request and read the response
|
||||
with urllib.request.urlopen(request) as response:
|
||||
# Read and decode the response
|
||||
response_data = response.read().decode('utf-8')
|
||||
root = ET.fromstring(response_data)
|
||||
|
||||
self.caching_strategy.set(cache_key, root)
|
||||
self.logger.debug(f'Cache set')
|
||||
|
||||
except urllib.error.URLError as e:
|
||||
raise ConnectionError(f"Error connecting to Overpass API: {e}") from e
|
||||
|
||||
|
||||
|
||||
|
||||
def get_base_info(elem: ET.Element, osm_type: OSM_TYPES, with_name=False) :
|
||||
"""
|
||||
Extracts base information (coordinates, OSM ID, and optionally a name) from an OSM element.
|
||||
@ -301,11 +307,8 @@ def fill_cache():
|
||||
with open(entry.path, 'r') as f:
|
||||
xml_string = f.read()
|
||||
|
||||
# Build the query and cache key from the hollow XML string
|
||||
query_str, key = overpass.build_query_from_hollow(xml_string)
|
||||
|
||||
# Fill the cache with the query and key
|
||||
overpass.fill_cache(query_str, key)
|
||||
overpass.fill_cache(xml_string)
|
||||
|
||||
# Now delete the file as the cache is filled
|
||||
os.remove(entry.path)
|
||||
|
Loading…
x
Reference in New Issue
Block a user