dspace-statistics-api/dspace_statistics_api/util.py

139 lines
4.7 KiB
Python

import falcon
def get_statistics_shards():
"""Enumerate the cores in Solr to determine if statistics have been sharded into
yearly shards by DSpace's stats-util or not (for example: statistics-2018).
Returns:
str:A list of Solr statistics shards separated by commas.
"""
import re
import requests
from .config import SOLR_SERVER
# Initialize an empty list for statistics core years
statistics_core_years = []
# URL for Solr status to check active cores
solr_query_params = {"action": "STATUS", "wt": "json"}
solr_url = SOLR_SERVER + "/admin/cores"
res = requests.get(solr_url, params=solr_query_params)
if res.status_code == requests.codes.ok:
data = res.json()
# Iterate over active cores from Solr's STATUS response (cores are in
# the status array of this response).
for core in data["status"]:
# Pattern to match, for example: statistics-2018
pattern = re.compile("^statistics-[0-9]{4}$")
if not pattern.match(core):
continue
# Append current core to list
statistics_core_years.append(core)
# Initialize a string to hold our shards (may end up being empty if the Solr
# core has not been processed by stats-util).
shards = str()
if len(statistics_core_years) > 0:
# Begin building a string of shards starting with the default one
shards = f"{SOLR_SERVER}/statistics"
for core in statistics_core_years:
# Create a comma-separated list of shards to pass to our Solr query
#
# See: https://wiki.apache.org/solr/DistributedSearch
shards += f",{SOLR_SERVER}/{core}"
# Return the string of shards, which may actually be empty. Solr doesn't
# seem to mind if the shards query parameter is empty and I haven't seen
# any negative performance impact so this should be fine.
return shards
def is_valid_date(date):
import datetime
try:
# Solr date format is: 2020-01-01T00:00:00Z
# See: https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior
datetime.datetime.strptime(date, "%Y-%m-%dT%H:%M:%SZ")
return True
except ValueError:
raise falcon.HTTPBadRequest(
title="Invalid parameter",
description=f"Invalid date format: {date}. The value must be in format: 2020-01-01T00:00:00Z.",
)
def validate_items_post_parameters(req, resp, resource, params):
"""Check the POSTed request parameters for the `/items` endpoint.
Meant to be used as a `before` hook.
"""
import json
# Only attempt to read the POSTed request if its length is not 0 (or
# rather, in the Python sense, if length is not a False-y value).
if req.content_length:
doc = json.load(req.bounded_stream)
else:
raise falcon.HTTPBadRequest(
title="Invalid request", description="Request body is empty."
)
# Parse date parameters from request body (will raise an HTTPBadRequest
# from is_valid_date() if any parameters are invalid)
if "dateFrom" in doc and is_valid_date(doc["dateFrom"]):
req.context.dateFrom = doc["dateFrom"]
else:
req.context.dateFrom = None
if "dateTo" in doc and is_valid_date(doc["dateTo"]):
req.context.dateTo = doc["dateTo"]
else:
req.context.dateTo = None
# Parse the limit parameter from the POST request body
if "limit" in doc:
if isinstance(doc["limit"], int) and 0 < doc["limit"] < 100:
req.context.limit = doc["limit"]
else:
raise falcon.HTTPBadRequest(
title="Invalid parameter",
description='The "limit" parameter is invalid. The value must be an integer between 0 and 100.',
)
else:
req.context.limit = 100
# Parse the page parameter from the POST request body
if "page" in doc:
if isinstance(doc["page"], int) and doc["page"] >= 0:
req.context.page = doc["page"]
else:
raise falcon.HTTPBadRequest(
title="Invalid parameter",
description='The "page" parameter is invalid. The value must be at least 0.',
)
else:
req.context.page = 0
# Parse the list of items from the POST request body
if "items" in doc:
if isinstance(doc["items"], list) and len(doc["items"]) > 0:
req.context.items = doc["items"]
else:
raise falcon.HTTPBadRequest(
title="Invalid parameter",
description='The "items" parameter is invalid. The value must be a comma-separated list of item UUIDs.',
)
else:
req.context.items = list()