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neptune/core/db/__init__.py

235 lines
8.8 KiB
Python

import random
import string
import time
from math import floor, log10
import orjson
from django.conf import settings
from siphashc import siphash
from core import r
from core.db.processing import annotate_results
from core.util import logs
class StorageBackend(object):
def __init__(self, name):
self.log = logs.get_logger(name)
self.log.info(f"Initialising storage backend {name}")
self.initialise_caching()
self.initialise()
def initialise(self, **kwargs):
raise NotImplementedError
def initialise_caching(self):
hash_key = r.get("cache_hash_key")
if not hash_key:
letters = string.ascii_lowercase
hash_key = "".join(random.choice(letters) for i in range(16))
self.log.debug(f"Created new hash key: {hash_key}")
r.set("cache_hash_key", hash_key)
else:
hash_key = hash_key.decode("ascii")
self.log.debug(f"Decoded hash key: {hash_key}")
self.hash_key = hash_key
def construct_query(self, **kwargs):
raise NotImplementedError
def run_query(self, **kwargs):
raise NotImplementedError
def parse_size(self, query_params, sizes):
if "size" in query_params:
size = query_params["size"]
if size not in sizes:
message = "Size is not permitted"
message_class = "danger"
return {"message": message, "class": message_class}
size = int(size)
else:
size = 15
return size
def parse_index(self, user, query_params):
if "index" in query_params:
index = query_params["index"]
if index == "main":
index = settings.INDEX_MAIN
else:
if not user.has_perm(f"core.index_{index}"):
message = "Not permitted to search by this index"
message_class = "danger"
return {
"message": message,
"class": message_class,
}
if index == "meta":
index = settings.INDEX_META
elif index == "internal":
index = settings.INDEX_INT
else:
message = "Index is not valid."
message_class = "danger"
return {
"message": message,
"class": message_class,
}
else:
index = settings.INDEX_MAIN
return index
def parse_query(self, query_params, tags, size, index, custom_query, add_bool):
if "query" in query_params:
query = query_params["query"]
search_query = self.construct_query(query, size, index)
query_created = True
else:
if custom_query:
search_query = custom_query
if tags:
# Get a blank search query
if not query_created:
search_query = self.construct_query(None, size, index, blank=True)
query_created = True
for tagname, tagvalue in tags.items():
add_bool.append({tagname: tagvalue})
required_any = ["query", "tags"]
if not any([field in query_params.keys() for field in required_any]):
if not custom_query:
message = "Empty query!"
message_class = "warning"
return {"message": message, "class": message_class}
return search_query
def parse_source(self, user, query_params):
if "source" in query_params:
source = query_params["source"]
if source in settings.SOURCES_RESTRICTED:
if not user.has_perm("core.restricted_sources"):
message = "Access denied"
message_class = "danger"
return {"message": message, "class": message_class}
elif source not in settings.MAIN_SOURCES:
message = "Invalid source"
message_class = "danger"
return {"message": message, "class": message_class}
if source == "all":
source = None # the next block will populate it
if source:
sources = [source]
else:
sources = list(settings.MAIN_SOURCES)
if user.has_perm("core.restricted_sources"):
for source_iter in settings.SOURCES_RESTRICTED:
sources.append(source_iter)
return sources
def filter_blacklisted(self, user, response):
"""
Low level filter to take the raw OpenSearch response and remove
objects from it we want to keep secret.
Does not return, the object is mutated in place.
"""
response["redacted"] = 0
response["exemption"] = None
if user.is_superuser:
response["exemption"] = True
# is_anonymous = isinstance(user, AnonymousUser)
# For every hit from ES
for index, item in enumerate(list(response["hits"]["hits"])):
# For every blacklisted type
for blacklisted_type in settings.OPENSEARCH_BLACKLISTED.keys():
# Check this field we are matching exists
if "_source" in item.keys():
data_index = "_source"
elif "fields" in item.keys():
data_index = "fields"
else:
return False
if blacklisted_type in item[data_index].keys():
content = item[data_index][blacklisted_type]
# For every item in the blacklisted array for the type
for blacklisted_item in settings.OPENSEARCH_BLACKLISTED[
blacklisted_type
]:
if blacklisted_item == str(content):
# Remove the item
if item in response["hits"]["hits"]:
# Let the UI know something was redacted
if (
"exemption"
not in response["hits"]["hits"][index][data_index]
):
response["redacted"] += 1
# Anonymous
if user.is_anonymous:
# Just set it to none so the index is not off
response["hits"]["hits"][index] = None
else:
if not user.has_perm("core.bypass_blacklist"):
response["hits"]["hits"][index] = None
else:
response["hits"]["hits"][index][data_index][
"exemption"
] = True
# Actually get rid of all the things we set to None
response["hits"]["hits"] = [hit for hit in response["hits"]["hits"] if hit]
def query(self, user, search_query):
# For time tracking
start = time.process_time()
if settings.CACHE:
# Sort the keys so the hash is the same
query_normalised = orjson.dumps(search_query, option=orjson.OPT_SORT_KEYS)
hash = siphash(self.hash_key, query_normalised)
cache_hit = r.get(f"query_cache.{user.id}.{hash}")
if cache_hit:
response = orjson.loads(cache_hit)
response["cache"] = True
return response
response = self.run_query(user, search_query)
if "error" in response and len(response.keys()) == 1:
return response
# response = response.to_dict()
# print("RESP", response)
if "took" in response:
if response["took"] is None:
return None
self.filter_blacklisted(user, response)
# Write cache
if settings.CACHE:
to_write_cache = orjson.dumps(response)
r.set(f"query_cache.{user.id}.{hash}", to_write_cache)
r.expire(f"query_cache.{user.id}.{hash}", settings.CACHE_TIMEOUT)
# Parse the response
response_parsed = self.parse(response)
time_took = (time.process_time() - start) * 1000
# Round to 3 significant figures
time_took_rounded = round(time_took, 3 - int(floor(log10(abs(time_took)))) - 1)
return {"object_list": response_parsed, "took": time_took_rounded}
def query_results(self, **kwargs):
raise NotImplementedError
def process_results(self, **kwargs):
if kwargs.get("annotate"):
annotate_results(kwargs["results"])
def parse(self, response):
raise NotImplementedError