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963961354b README.md: Use travis-ci.com domain for badge 2020-12-08 09:10:41 +02:00
20 changed files with 77759 additions and 2771 deletions

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@ -1,6 +1,6 @@
image: archlinux
packages:
- python-poetry
- python-pipenv
- postgresql
sources:
- https://git.sr.ht/~alanorth/dspace-statistics-api
@ -15,7 +15,10 @@ tasks:
createdb -U postgres -O dspacestatistics --encoding=UNICODE dspacestatistics
cd dspace-statistics-api
psql -U postgres -d dspacestatistics < tests/dspacestatistics.sql
poetry install --no-root
pipenv install --dev
- test: |
cd dspace-statistics-api
poetry run pytest
pipenv run pytest
environment:
PIPENV_NOSPIN: 'True'
PIPENV_HIDE_EMOJIS: 'True'

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@ -1,153 +0,0 @@
kind: pipeline
type: docker
name: python39
steps:
- name: setup
image: postgres:10-alpine
environment:
PGPASSWORD: postgres
commands:
- id
- psql --version
- sleep 5
- pg_isready -h database -U postgres -d dspacestatistics
- createuser -h database -U postgres dspacestatistics
- psql -h database -U postgres -c "ALTER USER dspacestatistics WITH PASSWORD 'dspacestatistics'"
- psql -h database -U postgres -d dspacestatistics < tests/dspacestatistics.sql
- name: test
image: python:3.9-slim
environment:
PGPASSWORD: dspacestatistics
DATABASE_HOST: database
commands:
- id
- python -V
- apt update && apt install -y gcc
- pip install -r requirements-dev.txt
- pytest
services:
- name: database
image: postgres:10-alpine
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dspacestatistics
---
kind: pipeline
type: docker
name: python38
steps:
- name: database
image: postgres:10-alpine
detach: true
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dspacestatistics
- name: setup
image: postgres:10-alpine
environment:
PGPASSWORD: postgres
commands:
- id
- psql --version
- sleep 5
- pg_isready -h database -U postgres -d dspacestatistics
- createuser -h database -U postgres dspacestatistics
- psql -h database -U postgres -c "ALTER USER dspacestatistics WITH PASSWORD 'dspacestatistics'"
- psql -h database -U postgres -d dspacestatistics < tests/dspacestatistics.sql
- name: test
image: python:3.8-slim
environment:
PGPASSWORD: dspacestatistics
DATABASE_HOST: database
commands:
- id
- python -V
- pip install -r requirements-dev.txt
- pytest
---
kind: pipeline
type: docker
name: python37
steps:
- name: database
image: postgres:10-alpine
detach: true
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dspacestatistics
- name: setup
image: postgres:10-alpine
environment:
PGPASSWORD: postgres
commands:
- id
- psql --version
- sleep 5
- pg_isready -h database -U postgres -d dspacestatistics
- createuser -h database -U postgres dspacestatistics
- psql -h database -U postgres -c "ALTER USER dspacestatistics WITH PASSWORD 'dspacestatistics'"
- psql -h database -U postgres -d dspacestatistics < tests/dspacestatistics.sql
- name: test
image: python:3.7-slim
environment:
PGPASSWORD: dspacestatistics
DATABASE_HOST: database
commands:
- id
- python -V
- pip install -r requirements-dev.txt
- pytest
---
kind: pipeline
type: docker
name: python36
steps:
- name: database
image: postgres:10-alpine
detach: true
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dspacestatistics
- name: setup
image: postgres:10-alpine
environment:
PGPASSWORD: postgres
commands:
- id
- psql --version
- sleep 5
- pg_isready -h database -U postgres -d dspacestatistics
- createuser -h database -U postgres dspacestatistics
- psql -h database -U postgres -c "ALTER USER dspacestatistics WITH PASSWORD 'dspacestatistics'"
- psql -h database -U postgres -d dspacestatistics < tests/dspacestatistics.sql
- name: test
image: python:3.6-slim
environment:
PGPASSWORD: dspacestatistics
DATABASE_HOST: database
commands:
- id
- python -V
- pip install -r requirements-dev.txt
- pytest
# vim: ts=2 sw=2 et

21
.travis.yml Normal file
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@ -0,0 +1,21 @@
dist: bionic
language: python
python:
- "3.5"
- "3.6"
- "3.7"
- "3.8"
addons:
postgresql: "9.6"
before_script:
- psql --version
- createuser -U postgres dspacestatistics
- psql -U postgres -c "ALTER USER dspacestatistics WITH PASSWORD 'dspacestatistics'"
- createdb -U postgres -O dspacestatistics --encoding=UNICODE dspacestatistics
- psql -U postgres -d dspacestatistics < tests/dspacestatistics.sql
install:
- "pip install -r requirements.txt"
- "pip install -r requirements-dev.txt"
script: pytest
# vim: ts=2 sw=2 et

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@ -4,58 +4,13 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## Unreleased
### Changed
- Add ORDER BY to /items resource to make sure results are returned
deterministically
- Use `fl` parameter in indexer to return only the id field
## [1.3.2] - 2020-11-18
### Fixed
- Minor issue with limit parameter (> 0)
- Minor issue with limit parameter (<= 100)
### Changed
- Minor refactor in Solr bot filtering
### Updated
- Run poetry update
## [1.3.1] - 2020-10-06
### Changed
- Fix issue with requirements.txt caused by poetry's export
## [1.3.0] - 2020-10-06
### Changed
- Minor refactoring of indexer
### Added
- Ability to get statistics for arbitrary items and date ranges by POSTing a JSON-formatted request to /items as opposed to the current `GET /items` which returns pre-indexed all-time stats for all items
### Updated
- Run pipenv update, bringing minor updates to pytest, psycopg2-binary, etc
## [1.2.1] - 2020-03-02
### Changed
- Help text in API docs should reference UUIDs
- Sample SQL file for tests should use UUIDs
## [1.2.0] - 2020-03-02
### Changed
- Remove Python 3.5 from TravisCI because black requires Python >= 3.6
- Adapt API for DSpace 6+ UUIDs
- This requires dropping the statistics database and re-indexing
### Updated
- Run pipenv update, bringing requests 2.23.0 and pytest 5.3.5
## [1.1.1] - 2019-11-27
### Added
- Configuration for automatic sorting of imports with isort
- Configuration for automatic code formatting with black
### Updated
- Run pipenv update, bringing psycopg2 2.8.4, requests 2.22.0, pytest 5.3.1,
- Run pipenv update, bringing psycogpg 2.8.3, requests 2.22.0, pytest 5.3.1,
and gunicorn 20.0.4
### Changed

20
Pipfile Normal file
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@ -0,0 +1,20 @@
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
gunicorn = "*"
falcon = "==2.0.0"
"psycopg2-binary" = "*"
requests = "*"
[dev-packages]
ipython = "*"
"flake8" = "*"
pytest = "*"
isort = "*"
black = "*"
[requires]
python_version = "3.8"

397
Pipfile.lock generated Normal file
View File

@ -0,0 +1,397 @@
{
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},
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View File

@ -1,10 +1,7 @@
# DSpace Statistics API [![Build Status](https://ci.mjanja.ch/api/badges/alanorth/dspace-statistics-api/status.svg?ref=refs/heads/v6_x)](https://ci.mjanja.ch/alanorth/dspace-statistics-api) [![builds.sr.ht status](https://builds.sr.ht/~alanorth/dspace-statistics-api.svg)](https://builds.sr.ht/~alanorth/dspace-statistics-api?)
DSpace stores item view and download events in a Solr "statistics" core. This information is available for use in the various DSpace user interfaces, but is not exposed externally via any APIs. The DSpace 4/5/6 [REST API](https://wiki.lyrasis.org/display/DSDOC5x/REST+API), for example, only exposes _metadata_ about communities, collections, items, and bitstreams.
# DSpace Statistics API [![Build Status](https://travis-ci.com/ilri/dspace-statistics-api.svg?branch=master)](https://travis-ci.com/ilri/dspace-statistics-api) [![builds.sr.ht status](https://builds.sr.ht/~alanorth/dspace-statistics-api.svg)](https://builds.sr.ht/~alanorth/dspace-statistics-api?)
DSpace stores item view and download events in a Solr "statistics" core. This information is available for use in the various DSpace user interfaces, but is not exposed externally via any APIs. The DSpace 4/5 [REST API](https://wiki.duraspace.org/display/DSDOC5x/REST+API), for example, only exposes information about communities, collections, item metadata, and bitstreams.
- If your DSpace is version 4 or 5, use [dspace-statistics-api v1.1.1](https://github.com/ilri/dspace-statistics-api/releases/tag/v1.1.1)
- If your DSpace is version 6+, use [dspace-statistics-api v1.2.0 or greater](https://github.com/ilri/dspace-statistics-api/releases/tag/v1.2.0)
This project contains an indexer and a [Falcon-based](https://falcon.readthedocs.io/) web application to make the statistics available via a simple REST API. You can read more about the Solr queries used to gather the item view and download statistics on the [DSpace wiki](https://wiki.lyrasis.org/display/DSPACE/Solr).
This project contains an indexer and a [Falcon-based](https://falcon.readthedocs.io/) web application to make the statistics available via a simple REST API. You can read more about the Solr queries used to gather the item view and download statistics on the [DSpace wiki](https://wiki.duraspace.org/display/DSPACE/Solr).
If you use the DSpace Statistics API please cite:
@ -12,9 +9,9 @@ If you use the DSpace Statistics API please cite:
## Requirements
- Python 3.6+
- Python 3.5+
- PostgreSQL version 9.5+ (due to [`UPSERT` support](https://wiki.postgresql.org/wiki/UPSERT))
- DSpace with [Solr usage statistics enabled](https://wiki.lyrasis.org/display/DSDOC5x/SOLR+Statistics) (tested with 5.8+ and 6.3)
- DSpace with [Solr usage statistics enabled](https://wiki.duraspace.org/display/DSDOC5x/SOLR+Statistics) (tested with 5.x)
## Installation
Create a Python virtual environment and install the dependencies:
@ -81,41 +78,22 @@ The API exposes the following endpoints:
- GET `/`return a basic API documentation page.
- GET `/items`return views and downloads for all items that Solr knows about¹. Accepts `limit` and `page` query parameters for pagination of results (`limit` must be an integer between 1 and 100, and `page` must be an integer greater than or equal to 0).
- POST `/items`return views and downloads for an arbitrary list of items with an optional date range. Accepts `limit`, `page`, `dateFrom`, and `dateTo` parameters².
- GET `/item/id`return views and downloads for a single item (`id` must be a UUID). Returns HTTP 404 if an item id is not found.
- GET `/item/id`return views and downloads for a single item (`id` must be a positive integer). Returns HTTP 404 if an item id is not found.
The item id is the *internal* UUID for an item. You can get these from the standard DSpace REST API.
The item id is the *internal* id for an item. You can get these from the standard DSpace REST API.
¹ We are querying the Solr statistics core, which technically only knows about items that have either views or downloads. If an item is not present here you can assume it has zero views and zero downloads, but not necessarily that it does not exist in the repository.
² POST requests to `/items` should be in JSON format with the following parameters:
```
{
"limit": 100, // optional, integer between 0 and 100, default 100
"page": 0, // optional, integer greater than 0, default 0
"dateFrom": "2020-01-01T00:00:00Z", // optional, default *
"dateTo": "2020-09-09T00:00:00Z", // optional, default *
"items": [
"f44cf173-2344-4eb2-8f00-ee55df32c76f",
"2324aa41-e9de-4a2b-bc36-16241464683e",
"8542f9da-9ce1-4614-abf4-f2e3fdb4b305",
"0fe573e7-042a-4240-a4d9-753b61233908"
]
}
```
## TODO
## Todo
- Better logging
- Version API (or at least include a /version endpoint?)
- Probably use /status with a version in the response
- Version API
- Use JSON in PostgreSQL
- Add top items endpoint, perhaps `/top/items` or `/items/top`?
- Actually we could add `/items?limit=10&sort=views`
- Make community and collection stats available
- Facet on owningComm and owningColl
- Add Swagger with OpenAPI 3.0.x with [falcon-swagger-ui](https://github.com/rdidyk/falcon-swagger-ui)
- Support [DSpace 6 UUIDs](https://jira.duraspace.org/browse/DS-1782)
- Switch to [Python 3.6+ f-string syntax](https://realpython.com/python-f-strings/)
- Check IDs in database to see if they are deleted...
## License
This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).

View File

@ -1,8 +1,6 @@
import falcon
from .database import DatabaseManager
from .items import get_downloads, get_views
from .util import validate_items_post_parameters
class RootResource:
@ -17,7 +15,7 @@ class AllItemsResource:
def on_get(self, req, resp):
"""Handles GET requests"""
# Return HTTPBadRequest if id parameter is not present and valid
limit = req.get_param_as_int("limit", min_value=1, max_value=100) or 100
limit = req.get_param_as_int("limit", min_value=0, max_value=100) or 100
page = req.get_param_as_int("page", min_value=0) or 0
offset = limit * page
@ -29,10 +27,11 @@ class AllItemsResource:
cursor.execute("SELECT COUNT(id) FROM items")
pages = round(cursor.fetchone()[0] / limit)
# get statistics and use limit and offset to page through results
# get statistics, ordered by id, and use limit and offset to page through results
cursor.execute(
"SELECT id, views, downloads FROM items ORDER BY id LIMIT %s OFFSET %s",
[limit, offset],
"SELECT id, views, downloads FROM items ORDER BY id ASC LIMIT {} OFFSET {}".format(
limit, offset
)
)
# create a list to hold dicts of item stats
@ -42,7 +41,7 @@ class AllItemsResource:
for item in cursor:
statistics.append(
{
"id": str(item["id"]),
"id": item["id"],
"views": item["views"],
"downloads": item["downloads"],
}
@ -57,93 +56,31 @@ class AllItemsResource:
resp.media = message
@falcon.before(validate_items_post_parameters)
def on_post(self, req, resp):
"""Handles POST requests"""
# Build the Solr date string, ie: [* TO *]
if req.context.dateFrom and req.context.dateTo:
solr_date_string = f"[{req.context.dateFrom} TO {req.context.dateTo}]"
elif not req.context.dateFrom and req.context.dateTo:
solr_date_string = f"[* TO {req.context.dateTo}]"
elif req.context.dateFrom and not req.context.dateTo:
solr_date_string = f"[{req.context.dateFrom} TO *]"
else:
solr_date_string = "[* TO *]"
# Helper variables to make working with pages/items/results easier and
# to make the code easier to understand
number_of_items: int = len(req.context.items)
pages: int = int(number_of_items / req.context.limit)
first_item: int = req.context.page * req.context.limit
last_item: int = first_item + req.context.limit
# Get a subset of the POSTed items based on our limit. Note that Python
# list slicing and indexing are both zero based, but the first and last
# items in a slice can be confusing. See this ASCII diagram:
#
# +---+---+---+---+---+---+
# | P | y | t | h | o | n |
# +---+---+---+---+---+---+
# Slice position: 0 1 2 3 4 5 6
# Index position: 0 1 2 3 4 5
#
# So if we have a list items with 240 items:
#
# 1st set: items[0:100] would give items at indexes 0 to 99
# 2nd set: items[100:200] would give items at indexes 100 to 199
# 3rd set: items[200:300] would give items at indexes 200 to 239
items_subset: list = req.context.items[first_item:last_item]
views: dict = get_views(solr_date_string, items_subset)
downloads: dict = get_downloads(solr_date_string, items_subset)
# create a list to hold dicts of item stats
statistics = list()
# iterate over views dict to extract views and use the item id as an
# index to the downloads dict to extract downloads.
for k, v in views.items():
statistics.append({"id": k, "views": v, "downloads": downloads[k]})
message = {
"currentPage": req.context.page,
"totalPages": pages,
"limit": req.context.limit,
"statistics": statistics,
}
resp.status = falcon.HTTP_200
resp.media = message
class ItemResource:
def on_get(self, req, resp, item_id):
"""Handles GET requests"""
import psycopg2.extras
# Adapt Pythons uuid.UUID type to PostgreSQLs uuid
# See: https://www.psycopg.org/docs/extras.html
psycopg2.extras.register_uuid()
with DatabaseManager() as db:
db.set_session(readonly=True)
with db.cursor() as cursor:
cursor = db.cursor()
cursor.execute(
"SELECT views, downloads FROM items WHERE id=%s", [str(item_id)]
"SELECT views, downloads FROM items WHERE id={}".format(item_id)
)
if cursor.rowcount == 0:
raise falcon.HTTPNotFound(
title="Item not found",
description=f'The item with id "{str(item_id)}" was not found.',
description='The item with id "{}" was not found.'.format(
item_id
),
)
else:
results = cursor.fetchone()
statistics = {
"id": str(item_id),
"id": item_id,
"views": results["views"],
"downloads": results["downloads"],
}
@ -154,6 +91,6 @@ class ItemResource:
api = application = falcon.API()
api.add_route("/", RootResource())
api.add_route("/items", AllItemsResource())
api.add_route("/item/{item_id:uuid}", ItemResource())
api.add_route("/item/{item_id:int}", ItemResource())
# vim: set sw=4 ts=4 expandtab:

View File

@ -15,7 +15,9 @@ class DatabaseManager:
"""Manage database connection."""
def __init__(self):
self._connection_uri = f"dbname={DATABASE_NAME} user={DATABASE_USER} password={DATABASE_PASS} host={DATABASE_HOST} port={DATABASE_PORT}"
self._connection_uri = "dbname={} user={} password={} host={} port={}".format(
DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST, DATABASE_PORT
)
def __enter__(self):
try:

View File

@ -5,33 +5,16 @@
<title>DSpace Statistics API</title>
</head>
<body>
<h1>DSpace Statistics API v1.3.2</h1>
<h1>DSpace Statistics API</h1>
<p>This site is running the <a href="https://github.com/ilri/dspace-statistics-api" title="DSpace Statistics API project">DSpace Statistics API</a>. The following endpoints are available:</p>
<ul>
<li>GET <code>/</code>return a basic API documentation page.</li>
<li>GET <code>/items</code>return views and downloads for all items that Solr knows about¹. Accepts <code>limit</code> and <code>page</code> query parameters for pagination of results (<code>limit</code> must be an integer between 1 and 100, and <code>page</code> must be an integer greater than or equal to 0).</li>
<li>POST <code>/items</code>return views and downloads for an arbitrary list of items with an optional date range. Accepts <code>limit</code>, <code>page</code>, <code>dateFrom</code>, and <code>dateTo</code> parameters².</li>
<li>GET <code>/item/id</code>return views and downloads for a single item (<code>id</code> must be a UUID). Returns HTTP 404 if an item id is not found.</li>
<li>GET <code>/item/id</code>return views and downloads for a single item (<code>id</code> must be a positive integer). Returns HTTP 404 if an item id is not found.</li>
</ul>
<p>The item id is the <em>internal</em> uuid for an item. You can get these from the standard DSpace REST API.</p>
<p>The item id is the <em>internal</em> id for an item. You can get these from the standard DSpace REST API.</p>
<hr/>
<p>¹ We are querying the Solr statistics core, which technically only knows about items that have either views or downloads. If an item is not present here you can assume it has zero views and zero downloads, but not necessarily that it does not exist in the repository.</p>
<p>² POST requests to <code>/items</code> should be in JSON format with the following parameters:
<pre><code>{
"limit": 100, // optional, integer between 1 and 100, default 100
"page": 0, // optional, integer greater than 0, default 0
"dateFrom": "2020-01-01T00:00:00Z", // optional, default *
"dateTo": "2020-09-09T00:00:00Z", // optional, default *
"items": [
"f44cf173-2344-4eb2-8f00-ee55df32c76f",
"2324aa41-e9de-4a2b-bc36-16241464683e",
"8542f9da-9ce1-4614-abf4-f2e3fdb4b305",
"0fe573e7-042a-4240-a4d9-753b61233908"
]
}</code></pre>
</p>
<p>¹ We are querying the Solr statistics core, which technically only knows about items that have either views or downloads. If an item is not present here you can assume it has zero views and zero downloads, but not necessarily that it does not exist in the repository.</code>
</body>
</html>

View File

@ -21,33 +21,79 @@
# Connects to a DSpace Solr statistics core and ingests item views and downloads
# into a PostgreSQL database for use by other applications (like an API).
#
# This script is written for Python 3.6+ and requires several modules that you
# This script is written for Python 3.5+ and requires several modules that you
# can install with pip (I recommend using a Python virtual environment):
#
# $ pip install psycopg2-binary
# $ pip install SolrClient psycopg2-binary
#
# See: https://solrclient.readthedocs.io/en/latest/SolrClient.html
# See: https://wiki.duraspace.org/display/DSPACE/Solr
import re
import psycopg2.extras
import requests
from .config import SOLR_SERVER
from .database import DatabaseManager
from .util import 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).
def get_statistics_shards():
# 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 = "{}/statistics".format(SOLR_SERVER)
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 += ",{}/{}".format(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 index_views():
# get total number of distinct facets for items with a minimum of 1 view,
# otherwise Solr returns all kinds of weird ids that are actually not in
# the database. Also, stats are expensive, but we need stats.calcdistinct
# so we can get the countDistinct summary to calculate how many pages of
# results we have.
# so we can get the countDistinct summary.
#
# see: https://lucene.apache.org/solr/guide/6_6/the-stats-component.html
solr_query_params = {
"q": "type:2",
"fq": "-isBot:true AND statistics_type:view",
"fl": "id",
"fq": "isBot:false AND statistics_type:view",
"facet": "true",
"facet.field": "id",
"facet.mincount": 1,
@ -88,13 +134,14 @@ def index_views():
while results_current_page <= results_num_pages:
# "pages" are zero based, but one based is more human readable
print(
f"Indexing item views (page {results_current_page + 1} of {results_num_pages + 1})"
"Indexing item views (page {} of {})".format(
results_current_page + 1, results_num_pages + 1
)
)
solr_query_params = {
"q": "type:2",
"fq": "-isBot:true AND statistics_type:view",
"fl": "id",
"fq": "isBot:false AND statistics_type:view",
"facet": "true",
"facet.field": "id",
"facet.mincount": 1,
@ -106,6 +153,8 @@ def index_views():
"json.nl": "map", # return facets as a dict instead of a flat list
}
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
# Solr returns facets as a dict of dicts (see json.nl parameter)
@ -129,8 +178,7 @@ def index_downloads():
# get the total number of distinct facets for items with at least 1 download
solr_query_params = {
"q": "type:0",
"fq": "-isBot:true AND statistics_type:view AND bundleName:ORIGINAL",
"fl": "owningItem",
"fq": "isBot:false AND statistics_type:view AND bundleName:ORIGINAL",
"facet": "true",
"facet.field": "owningItem",
"facet.mincount": 1,
@ -171,13 +219,14 @@ def index_downloads():
while results_current_page <= results_num_pages:
# "pages" are zero based, but one based is more human readable
print(
f"Indexing item downloads (page {results_current_page + 1} of {results_num_pages + 1})"
"Indexing item downloads (page {} of {})".format(
results_current_page + 1, results_num_pages + 1
)
)
solr_query_params = {
"q": "type:0",
"fq": "-isBot:true AND statistics_type:view AND bundleName:ORIGINAL",
"fl": "owningItem",
"fq": "isBot:false AND statistics_type:view AND bundleName:ORIGINAL",
"facet": "true",
"facet.field": "owningItem",
"facet.mincount": 1,
@ -189,6 +238,8 @@ def index_downloads():
"json.nl": "map", # return facets as a dict instead of a flat list
}
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
# Solr returns facets as a dict of dicts (see json.nl parameter)
@ -213,7 +264,7 @@ with DatabaseManager() as db:
# create table to store item views and downloads
cursor.execute(
"""CREATE TABLE IF NOT EXISTS items
(id UUID PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)"""
(id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)"""
)
# commit the table creation before closing the database connection

View File

@ -1,105 +0,0 @@
import requests
from .config import SOLR_SERVER
def get_views(solr_date_string: str, items: list):
"""
Get view statistics for a list of items from Solr.
:parameter solr_date_string (str): Solr date string, for example "[* TO *]"
:parameter items (list): a list of item IDs
:returns: A dict of item IDs and views
"""
from .util import get_statistics_shards
shards = get_statistics_shards()
# Join the UUIDs with "OR" and escape the hyphens for Solr
solr_items_string: str = " OR ".join(items).replace("-", r"\-")
solr_query_params = {
"q": f"id:({solr_items_string})",
"fq": f"type:2 AND isBot:false AND statistics_type:view AND time:{solr_date_string}",
"facet": "true",
"facet.field": "id",
"facet.mincount": 1,
"shards": shards,
"rows": 0,
"wt": "json",
"json.nl": "map", # return facets as a dict instead of a flat list
}
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
# Create an empty dict to store views
data = {}
# Solr returns facets as a dict of dicts (see the json.nl parameter)
views = res.json()["facet_counts"]["facet_fields"]
# iterate over the 'id' dict and get the item ids and views
for item_id, item_views in views["id"].items():
data[item_id] = item_views
# Check if any items have missing stats so we can set them to 0
if len(data) < len(items):
# List comprehension to get a list of item ids (keys) in the data
data_ids = [k for k, v in data.items()]
for item_id in items:
if item_id not in data_ids:
data[item_id] = 0
continue
return data
def get_downloads(solr_date_string: str, items: list):
"""
Get download statistics for a list of items from Solr.
:parameter solr_date_string (str): Solr date string, for example "[* TO *]"
:parameter items (list): a list of item IDs
:returns: A dict of item IDs and downloads
"""
from .util import get_statistics_shards
shards = get_statistics_shards()
# Join the UUIDs with "OR" and escape the hyphens for Solr
solr_items_string: str = " OR ".join(items).replace("-", r"\-")
solr_query_params = {
"q": f"owningItem:({solr_items_string})",
"fq": f"type:0 AND isBot:false AND statistics_type:view AND bundleName:ORIGINAL AND time:{solr_date_string}",
"facet": "true",
"facet.field": "owningItem",
"facet.mincount": 1,
"shards": shards,
"rows": 0,
"wt": "json",
"json.nl": "map", # return facets as a dict instead of a flat list
}
solr_url = SOLR_SERVER + "/statistics/select"
res = requests.get(solr_url, params=solr_query_params)
# Create an empty dict to store downloads
data = {}
# Solr returns facets as a dict of dicts (see the json.nl parameter)
downloads = res.json()["facet_counts"]["facet_fields"]
# Iterate over the 'owningItem' dict and get the item ids and downloads
for item_id, item_downloads in downloads["owningItem"].items():
data[item_id] = item_downloads
# Check if any items have missing stats so we can set them to 0
if len(data) < len(items):
# List comprehension to get a list of item ids (keys) in the data
data_ids = [k for k, v in data.items()]
for item_id in items:
if item_id not in data_ids:
data[item_id] = 0
continue
return data
# vim: set sw=4 ts=4 expandtab:

View File

@ -1,138 +0,0 @@
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 1 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()

852
poetry.lock generated
View File

@ -1,852 +0,0 @@
[[package]]
name = "appdirs"
version = "1.4.4"
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "appnope"
version = "0.1.2"
description = "Disable App Nap on macOS >= 10.9"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\" and sys_platform == \"darwin\""
[[package]]
name = "atomicwrites"
version = "1.4.0"
description = "Atomic file writes."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
marker = "sys_platform == \"win32\""
[[package]]
name = "attrs"
version = "20.3.0"
description = "Classes Without Boilerplate"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.extras]
dev = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
docs = ["furo", "sphinx", "zope.interface"]
tests = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
tests_no_zope = ["coverage (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
[[package]]
name = "backcall"
version = "0.2.0"
description = "Specifications for callback functions passed in to an API"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "black"
version = "20.8b1"
description = "The uncompromising code formatter."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.extras]
colorama = ["colorama (>=0.4.3)"]
d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
[package.dependencies]
appdirs = "*"
click = ">=7.1.2"
mypy-extensions = ">=0.4.3"
pathspec = ">=0.6,<1"
regex = ">=2020.1.8"
toml = ">=0.10.1"
typed-ast = ">=1.4.0"
typing-extensions = ">=3.7.4"
[package.dependencies.dataclasses]
version = ">=0.6"
python = "<3.7"
[[package]]
name = "certifi"
version = "2020.12.5"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
python-versions = "*"
[[package]]
name = "chardet"
version = "4.0.0"
description = "Universal encoding detector for Python 2 and 3"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "click"
version = "7.1.2"
description = "Composable command line interface toolkit"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "colorama"
version = "0.4.4"
description = "Cross-platform colored terminal text."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\" and sys_platform == \"win32\" or sys_platform == \"win32\""
[[package]]
name = "dataclasses"
version = "0.6"
description = "A backport of the dataclasses module for Python 3.6"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version < \"3.7\""
[[package]]
name = "decorator"
version = "4.4.2"
description = "Decorators for Humans"
category = "dev"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "falcon"
version = "2.0.0"
description = "An unladen web framework for building APIs and app backends."
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "flake8"
version = "3.8.4"
description = "the modular source code checker: pep8 pyflakes and co"
category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
[package.dependencies]
mccabe = ">=0.6.0,<0.7.0"
pycodestyle = ">=2.6.0a1,<2.7.0"
pyflakes = ">=2.2.0,<2.3.0"
[package.dependencies.importlib-metadata]
version = "*"
python = "<3.8"
[[package]]
name = "gunicorn"
version = "20.0.4"
description = "WSGI HTTP Server for UNIX"
category = "main"
optional = false
python-versions = ">=3.4"
[package.extras]
eventlet = ["eventlet (>=0.9.7)"]
gevent = ["gevent (>=0.13)"]
setproctitle = ["setproctitle"]
tornado = ["tornado (>=0.2)"]
[package.dependencies]
setuptools = ">=3.0"
[[package]]
name = "idna"
version = "2.10"
description = "Internationalized Domain Names in Applications (IDNA)"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "importlib-metadata"
version = "3.3.0"
description = "Read metadata from Python packages"
category = "dev"
optional = false
python-versions = ">=3.6"
marker = "python_version < \"3.8\""
[package.extras]
docs = ["sphinx", "jaraco.packaging (>=3.2)", "rst.linker (>=1.9)"]
testing = ["pytest (>=3.5,<3.7.3 || >3.7.3)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "jaraco.test (>=3.2.0)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
[package.dependencies]
zipp = ">=0.5"
[package.dependencies.typing-extensions]
version = ">=3.6.4"
python = "<3.8"
[[package]]
name = "iniconfig"
version = "1.1.1"
description = "iniconfig: brain-dead simple config-ini parsing"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "ipython"
version = "7.19.0"
description = "IPython: Productive Interactive Computing"
category = "dev"
optional = false
python-versions = ">=3.7"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.extras]
all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.14)", "pygments", "qtconsole", "requests", "testpath"]
doc = ["Sphinx (>=1.3)"]
kernel = ["ipykernel"]
nbconvert = ["nbconvert"]
nbformat = ["nbformat"]
notebook = ["notebook", "ipywidgets"]
parallel = ["ipyparallel"]
qtconsole = ["qtconsole"]
test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.14)"]
[package.dependencies]
appnope = "*"
backcall = "*"
colorama = "*"
decorator = "*"
jedi = ">=0.10"
pexpect = ">4.3"
pickleshare = "*"
prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
pygments = "*"
setuptools = ">=18.5"
traitlets = ">=4.2"
[[package]]
name = "ipython-genutils"
version = "0.2.0"
description = "Vestigial utilities from IPython"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "isort"
version = "5.6.4"
description = "A Python utility / library to sort Python imports."
category = "dev"
optional = false
python-versions = ">=3.6,<4.0"
[package.extras]
pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
requirements_deprecated_finder = ["pipreqs", "pip-api"]
colors = ["colorama (>=0.4.3,<0.5.0)"]
[[package]]
name = "jedi"
version = "0.17.2"
description = "An autocompletion tool for Python that can be used for text editors."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.extras]
qa = ["flake8 (3.7.9)"]
testing = ["Django (<3.1)", "colorama", "docopt", "pytest (>=3.9.0,<5.0.0)"]
[package.dependencies]
parso = ">=0.7.0,<0.8.0"
[[package]]
name = "mccabe"
version = "0.6.1"
description = "McCabe checker, plugin for flake8"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "mypy-extensions"
version = "0.4.3"
description = "Experimental type system extensions for programs checked with the mypy typechecker."
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "packaging"
version = "20.8"
description = "Core utilities for Python packages"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.dependencies]
pyparsing = ">=2.0.2"
[[package]]
name = "parso"
version = "0.7.1"
description = "A Python Parser"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.extras]
testing = ["docopt", "pytest (>=3.0.7)"]
[[package]]
name = "pathspec"
version = "0.8.1"
description = "Utility library for gitignore style pattern matching of file paths."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "pexpect"
version = "4.8.0"
description = "Pexpect allows easy control of interactive console applications."
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\" and sys_platform != \"win32\""
[package.dependencies]
ptyprocess = ">=0.5"
[[package]]
name = "pickleshare"
version = "0.7.5"
description = "Tiny 'shelve'-like database with concurrency support"
category = "dev"
optional = false
python-versions = "*"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[[package]]
name = "pluggy"
version = "0.13.1"
description = "plugin and hook calling mechanisms for python"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.extras]
dev = ["pre-commit", "tox"]
[package.dependencies]
[package.dependencies.importlib-metadata]
version = ">=0.12"
python = "<3.8"
[[package]]
name = "prompt-toolkit"
version = "3.0.8"
description = "Library for building powerful interactive command lines in Python"
category = "dev"
optional = false
python-versions = ">=3.6.1"
marker = "python_version >= \"3.7\" and python_version < \"4.0\""
[package.dependencies]
wcwidth = "*"
[[package]]
name = "psycopg2-binary"
version = "2.8.6"
description = "psycopg2 - Python-PostgreSQL Database Adapter"
category = "main"
optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
[[package]]
name = "ptyprocess"
version = "0.6.0"
description = "Run a subprocess in a pseudo terminal"
category = "dev"
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{file = "typed_ast-1.4.1-cp38-cp38-win32.whl", hash = "sha256:715ff2f2df46121071622063fc7543d9b1fd19ebfc4f5c8895af64a77a8c852c"},
{file = "typed_ast-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:fc0fea399acb12edbf8a628ba8d2312f583bdbdb3335635db062fa98cf71fca4"},
{file = "typed_ast-1.4.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:d43943ef777f9a1c42bf4e552ba23ac77a6351de620aa9acf64ad54933ad4d34"},
{file = "typed_ast-1.4.1.tar.gz", hash = "sha256:8c8aaad94455178e3187ab22c8b01a3837f8ee50e09cf31f1ba129eb293ec30b"},
]
typing-extensions = [
{file = "typing_extensions-3.7.4.3-py2-none-any.whl", hash = "sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f"},
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]
urllib3 = [
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{file = "urllib3-1.26.2.tar.gz", hash = "sha256:19188f96923873c92ccb987120ec4acaa12f0461fa9ce5d3d0772bc965a39e08"},
]
wcwidth = [
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]
zipp = [
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]

View File

@ -1,24 +0,0 @@
[tool.poetry]
name = "dspace-statistics-api"
version = "1.3.2"
description = "A simple REST API to expose Solr view and download statistics for items in a DSpace repository."
authors = ["Alan Orth <aorth@mjanja.ch>"]
license = "GPL-3.0-only"
[tool.poetry.dependencies]
python = "^3.6"
gunicorn = "^20.0.4"
falcon = "^2.0.0"
psycopg2-binary = "^2.8.6"
requests = "^2.24.0"
[tool.poetry.dev-dependencies]
ipython = { version = "^7.18.1", python = "^3.7" }
flake8 = "^3.8.4"
pytest = "^6.1.1"
isort = "^5.5.4"
black = "^20.8b1"
[build-system]
requires = ["poetry>=0.12"]
build-backend = "poetry.masonry.api"

View File

@ -1,4 +1,4 @@
[pytest]
addopts= -rsxX -s -v --strict-markers
addopts= -rsxX -s -v --strict
filterwarnings =
error::UserWarning

View File

@ -1,244 +1,27 @@
appdirs==1.4.4 \
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--hash=sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41
appnope==0.1.2; python_version >= "3.7" and python_version < "4.0" and sys_platform == "darwin" \
--hash=sha256:93aa393e9d6c54c5cd570ccadd8edad61ea0c4b9ea7a01409020c9aa019eb442 \
--hash=sha256:dd83cd4b5b460958838f6eb3000c660b1f9caf2a5b1de4264e941512f603258a
atomicwrites==1.4.0; sys_platform == "win32" \
--hash=sha256:6d1784dea7c0c8d4a5172b6c620f40b6e4cbfdf96d783691f2e1302a7b88e197 \
--hash=sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a
attrs==20.3.0 \
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--hash=sha256:832aa3cde19744e49938b91fea06d69ecb9e649c93ba974535d08ad92164f700
backcall==0.2.0; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255 \
--hash=sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e
black==20.8b1 \
--hash=sha256:1c02557aa099101b9d21496f8a914e9ed2222ef70336404eeeac8edba836fbea
certifi==2020.12.5 \
--hash=sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830 \
--hash=sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c
chardet==4.0.0 \
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--hash=sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa
click==7.1.2 \
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--hash=sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a
colorama==0.4.4; python_version >= "3.7" and python_version < "4.0" and sys_platform == "win32" or sys_platform == "win32" \
--hash=sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2 \
--hash=sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b
dataclasses==0.6; python_version < "3.7" \
--hash=sha256:454a69d788c7fda44efd71e259be79577822f5e3f53f029a22d08004e951dc9f \
--hash=sha256:6988bd2b895eef432d562370bb707d540f32f7360ab13da45340101bc2307d84
decorator==4.4.2; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760 \
--hash=sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7
falcon==2.0.0 \
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--hash=sha256:f93351459f110b4c1ee28556aef9a791832df6f910bea7b3f616109d534df06b \
--hash=sha256:e9efa0791b5d9f9dd9689015ea6bce0a27fcd5ecbcd30e6d940bffa4f7f03389 \
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--hash=sha256:18157af2a4fc3feedf2b5dcc6196f448639acf01c68bc33d4d5a04c3ef87f494 \
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--hash=sha256:eea593cf466b9c126ce667f6d30503624ef24459f118c75594a69353b6c3d5fc
flake8==3.8.4 \
--hash=sha256:749dbbd6bfd0cf1318af27bf97a14e28e5ff548ef8e5b1566ccfb25a11e7c839 \
--hash=sha256:aadae8761ec651813c24be05c6f7b4680857ef6afaae4651a4eccaef97ce6c3b
gunicorn==20.0.4 \
--hash=sha256:cd4a810dd51bf497552cf3f863b575dabd73d6ad6a91075b65936b151cbf4f9c \
--hash=sha256:1904bb2b8a43658807108d59c3f3d56c2b6121a701161de0ddf9ad140073c626
idna==2.10 \
--hash=sha256:b97d804b1e9b523befed77c48dacec60e6dcb0b5391d57af6a65a312a90648c0 \
--hash=sha256:b307872f855b18632ce0c21c5e45be78c0ea7ae4c15c828c20788b26921eb3f6
importlib-metadata==3.3.0; python_version < "3.8" \
--hash=sha256:bf792d480abbd5eda85794e4afb09dd538393f7d6e6ffef6e9f03d2014cf9450 \
--hash=sha256:5c5a2720817414a6c41f0a49993908068243ae02c1635a228126519b509c8aed
iniconfig==1.1.1 \
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--hash=sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32
ipython==7.19.0; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:c987e8178ced651532b3b1ff9965925bfd445c279239697052561a9ab806d28f \
--hash=sha256:cbb2ef3d5961d44e6a963b9817d4ea4e1fa2eb589c371a470fed14d8d40cbd6a
ipython-genutils==0.2.0; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \
--hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8
isort==5.6.4 \
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--hash=sha256:dcaeec1b5f0eca77faea2a35ab790b4f3680ff75590bfcb7145986905aab2f58
jedi==0.17.2; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5 \
--hash=sha256:86ed7d9b750603e4ba582ea8edc678657fb4007894a12bcf6f4bb97892f31d20
mccabe==0.6.1 \
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--hash=sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f
mypy-extensions==0.4.3 \
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--hash=sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8
packaging==20.8 \
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--hash=sha256:78598185a7008a470d64526a8059de9aaa449238f280fc9eb6b13ba6c4109093
parso==0.7.1; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:97218d9159b2520ff45eb78028ba8b50d2bc61dcc062a9682666f2dc4bd331ea \
--hash=sha256:caba44724b994a8a5e086460bb212abc5a8bc46951bf4a9a1210745953622eb9
pathspec==0.8.1 \
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--hash=sha256:86379d6b86d75816baba717e64b1a3a3469deb93bb76d613c9ce79edc5cb68fd
pexpect==4.8.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32" \
--hash=sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937 \
--hash=sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c
pickleshare==0.7.5; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56 \
--hash=sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca
pluggy==0.13.1 \
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--hash=sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0
prompt-toolkit==3.0.8; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:7debb9a521e0b1ee7d2fe96ee4bd60ef03c6492784de0547337ca4433e46aa63 \
--hash=sha256:25c95d2ac813909f813c93fde734b6e44406d1477a9faef7c915ff37d39c0a8c
psycopg2-binary==2.8.6 \
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--hash=sha256:7312e931b90fe14f925729cde58022f5d034241918a5c4f9797cac62f6b3a9dd
ptyprocess==0.6.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32" \
--hash=sha256:d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f \
--hash=sha256:923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0
py==1.10.0 \
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--hash=sha256:21b81bda15b66ef5e1a777a21c4dcd9c20ad3efd0b3f817e7a809035269e1bd3
pycodestyle==2.6.0 \
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--hash=sha256:c58a7d2815e0e8d7972bf1803331fb0152f867bd89adf8a01dfd55085434192e
pyflakes==2.2.0 \
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--hash=sha256:35b2d75ee967ea93b55750aa9edbbf72813e06a66ba54438df2cfac9e3c27fc8
pygments==2.7.3; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:f275b6c0909e5dafd2d6269a656aa90fa58ebf4a74f8fcf9053195d226b24a08 \
--hash=sha256:ccf3acacf3782cbed4a989426012f1c535c9a90d3a7fc3f16d231b9372d2b716
pyparsing==2.4.7 \
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--hash=sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1
pytest==6.2.1 \
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--hash=sha256:66e419b1899bc27346cb2c993e12c5e5e8daba9073c1fbce33b9807abc95c306
regex==2020.11.13 \
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--hash=sha256:a63f1a07932c9686d2d416fb295ec2c01ab246e89b4d58e5fa468089cab44b70 \
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--hash=sha256:bba349276b126947b014e50ab3316c027cac1495992f10e5682dc677b3dfa0c5 \
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--hash=sha256:83d6b356e116ca119db8e7c6fc2983289d87b27b3fac238cfe5dca529d884562
requests==2.25.1 \
--hash=sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e \
--hash=sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804
toml==0.10.2 \
--hash=sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b \
--hash=sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f
traitlets==5.0.5; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:69ff3f9d5351f31a7ad80443c2674b7099df13cc41fc5fa6e2f6d3b0330b0426 \
--hash=sha256:178f4ce988f69189f7e523337a3e11d91c786ded9360174a3d9ca83e79bc5396
typed-ast==1.4.1 \
--hash=sha256:73d785a950fc82dd2a25897d525d003f6378d1cb23ab305578394694202a58c3 \
--hash=sha256:aaee9905aee35ba5905cfb3c62f3e83b3bec7b39413f0a7f19be4e547ea01ebb \
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--hash=sha256:8c8aaad94455178e3187ab22c8b01a3837f8ee50e09cf31f1ba129eb293ec30b
typing-extensions==3.7.4.3 \
--hash=sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f \
--hash=sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918 \
--hash=sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c
urllib3==1.26.2 \
--hash=sha256:d8ff90d979214d7b4f8ce956e80f4028fc6860e4431f731ea4a8c08f23f99473 \
--hash=sha256:19188f96923873c92ccb987120ec4acaa12f0461fa9ce5d3d0772bc965a39e08
wcwidth==0.2.5; python_version >= "3.7" and python_version < "4.0" \
--hash=sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784 \
--hash=sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83
zipp==3.4.0; python_version < "3.8" \
--hash=sha256:102c24ef8f171fd729d46599845e95c7ab894a4cf45f5de11a44cc7444fb1108 \
--hash=sha256:ed5eee1974372595f9e416cc7bbeeb12335201d8081ca8a0743c954d4446e5cb
-i https://pypi.org/simple
attrs==19.3.0
backcall==0.1.0
decorator==4.4.1
entrypoints==0.3
flake8==3.7.9
ipython-genutils==0.2.0
ipython==7.9.0
jedi==0.15.1
mccabe==0.6.1
more-itertools==7.2.0
packaging==19.2
parso==0.5.1
pexpect==4.7.0 ; sys_platform != 'win32'
pickleshare==0.7.5
pluggy==0.13.1
prompt-toolkit==2.0.10
ptyprocess==0.6.0
py==1.8.0
pycodestyle==2.5.0
pyflakes==2.1.1
pygments==2.5.1
pyparsing==2.4.5
pytest==5.3.1
six==1.13.0
traitlets==4.3.3
wcwidth==0.1.7

View File

@ -1,66 +1,9 @@
certifi==2020.12.5 \
--hash=sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830 \
--hash=sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c
chardet==4.0.0 \
--hash=sha256:f864054d66fd9118f2e67044ac8981a54775ec5b67aed0441892edb553d21da5 \
--hash=sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa
falcon==2.0.0 \
--hash=sha256:733033ec80c896e30a43ab3e776856096836787197a44eb21022320a61311983 \
--hash=sha256:f93351459f110b4c1ee28556aef9a791832df6f910bea7b3f616109d534df06b \
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--hash=sha256:9712975adcf8c6e12876239085ad757b8fdeba223d46d23daef82b47658f83a9 \
--hash=sha256:54f2cb4b687035b2a03206dbfc538055cc48b59a953187b0458aa1b574d47b53 \
--hash=sha256:eea593cf466b9c126ce667f6d30503624ef24459f118c75594a69353b6c3d5fc
gunicorn==20.0.4 \
--hash=sha256:cd4a810dd51bf497552cf3f863b575dabd73d6ad6a91075b65936b151cbf4f9c \
--hash=sha256:1904bb2b8a43658807108d59c3f3d56c2b6121a701161de0ddf9ad140073c626
idna==2.10 \
--hash=sha256:b97d804b1e9b523befed77c48dacec60e6dcb0b5391d57af6a65a312a90648c0 \
--hash=sha256:b307872f855b18632ce0c21c5e45be78c0ea7ae4c15c828c20788b26921eb3f6
psycopg2-binary==2.8.6 \
--hash=sha256:11b9c0ebce097180129e422379b824ae21c8f2a6596b159c7659e2e5a00e1aa0 \
--hash=sha256:d14b140a4439d816e3b1229a4a525df917d6ea22a0771a2a78332273fd9528a4 \
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--hash=sha256:a0eb43a07386c3f1f1ebb4dc7aafb13f67188eab896e7397aa1ee95a9c884eb2 \
--hash=sha256:e1f57aa70d3f7cc6947fd88636a481638263ba04a742b4a37dd25c373e41491a \
--hash=sha256:833709a5c66ca52f1d21d41865a637223b368c0ee76ea54ca5bad6f2526c7679 \
--hash=sha256:ba28584e6bca48c59eecbf7efb1576ca214b47f05194646b081717fa628dfddf \
--hash=sha256:6a32f3a4cb2f6e1a0b15215f448e8ce2da192fd4ff35084d80d5e39da683e79b \
--hash=sha256:0e4dc3d5996760104746e6cfcdb519d9d2cd27c738296525d5867ea695774e67 \
--hash=sha256:cec7e622ebc545dbb4564e483dd20e4e404da17ae07e06f3e780b2dacd5cee66 \
--hash=sha256:ba381aec3a5dc29634f20692349d73f2d21f17653bda1decf0b52b11d694541f \
--hash=sha256:a0c50db33c32594305b0ef9abc0cb7db13de7621d2cadf8392a1d9b3c437ef77 \
--hash=sha256:2dac98e85565d5688e8ab7bdea5446674a83a3945a8f416ad0110018d1501b94 \
--hash=sha256:bd1be66dde2b82f80afb9459fc618216753f67109b859a361cf7def5c7968729 \
--hash=sha256:8cd0fb36c7412996859cb4606a35969dd01f4ea34d9812a141cd920c3b18be77 \
--hash=sha256:42ec1035841b389e8cc3692277a0bd81cdfe0b65d575a2c8862cec7a80e62e52 \
--hash=sha256:7312e931b90fe14f925729cde58022f5d034241918a5c4f9797cac62f6b3a9dd
requests==2.25.1 \
--hash=sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e \
--hash=sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804
urllib3==1.26.2 \
--hash=sha256:d8ff90d979214d7b4f8ce956e80f4028fc6860e4431f731ea4a8c08f23f99473 \
--hash=sha256:19188f96923873c92ccb987120ec4acaa12f0461fa9ce5d3d0772bc965a39e08
-i https://pypi.org/simple
certifi==2019.9.11
chardet==3.0.4
falcon==2.0.0
gunicorn==20.0.4
idna==2.8
psycopg2-binary==2.8.4
requests==2.22.0
urllib3==1.25.7

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@ -1,7 +1,6 @@
from falcon import testing
import json
import pytest
from unittest.mock import patch
from dspace_statistics_api.app import api
@ -12,371 +11,57 @@ def client():
def test_get_docs(client):
"""Test requesting the documentation at the root."""
'''Test requesting the documentation at the root.'''
response = client.simulate_get("/")
response = client.simulate_get('/')
assert isinstance(response.content, bytes)
assert response.status_code == 200
def test_get_item(client):
"""Test requesting a single item."""
'''Test requesting a single item.'''
response = client.simulate_get("/item/fd8a46d5-1480-4e69-b187-cd3db96d8e4d")
response = client.simulate_get('/item/17')
response_doc = json.loads(response.text)
assert isinstance(response_doc["downloads"], int)
assert isinstance(response_doc["id"], str)
assert isinstance(response_doc["views"], int)
assert isinstance(response_doc['downloads'], int)
assert isinstance(response_doc['id'], int)
assert isinstance(response_doc['views'], int)
assert response.status_code == 200
def test_get_missing_item(client):
"""Test requesting a single non-existing item."""
'''Test requesting a single non-existing item.'''
response = client.simulate_get("/item/c3910974-c3a5-4053-9dce-104aa7bb1620")
response = client.simulate_get('/item/1')
assert response.status_code == 404
def test_get_items(client):
"""Test requesting 100 items."""
'''Test requesting 100 items.'''
response = client.simulate_get("/items", query_string="limit=100")
response = client.simulate_get('/items', query_string='limit=100')
response_doc = json.loads(response.text)
assert isinstance(response_doc["currentPage"], int)
assert isinstance(response_doc["totalPages"], int)
assert isinstance(response_doc["statistics"], list)
assert isinstance(response_doc['currentPage'], int)
assert isinstance(response_doc['totalPages'], int)
assert isinstance(response_doc['statistics'], list)
assert response.status_code == 200
def test_get_items_invalid_limit(client):
"""Test requesting 100 items with an invalid limit parameter."""
'''Test requesting 100 items with an invalid limit parameter.'''
response = client.simulate_get("/items", query_string="limit=101")
response = client.simulate_get('/items', query_string='limit=101')
assert response.status_code == 400
def test_get_items_invalid_page(client):
"""Test requesting 100 items with an invalid page parameter."""
'''Test requesting 100 items with an invalid page parameter.'''
response = client.simulate_get("/items", query_string="page=-1")
assert response.status_code == 400
@pytest.mark.xfail
def test_post_items_valid_dateFrom(client):
"""Test POSTing a request with a valid dateFrom parameter in the request body."""
request_body = {
"dateFrom": "2020-01-01T00:00:00Z",
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 100
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 2
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
assert isinstance(response.json["statistics"][1]["views"], int)
assert isinstance(response.json["statistics"][1]["downloads"], int)
def test_post_items_valid_dateFrom_mocked(client):
"""Mock test POSTing a request with a valid dateFrom parameter in the request body."""
request_body = {
"dateFrom": "2020-01-01T00:00:00Z",
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
get_views_return_value = {
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 21,
"e53a2eab-1e31-448d-907b-3656ca4e86c1": 0,
}
get_downloads_return_value = {
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 575,
"e53a2eab-1e31-448d-907b-3656ca4e86c1": 899,
}
with patch(
"dspace_statistics_api.app.get_views", return_value=get_views_return_value
):
with patch(
"dspace_statistics_api.app.get_downloads",
return_value=get_downloads_return_value,
):
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 100
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 2
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
assert isinstance(response.json["statistics"][1]["views"], int)
assert isinstance(response.json["statistics"][1]["downloads"], int)
def test_post_items_invalid_dateFrom(client):
"""Test POSTing a request with an invalid dateFrom parameter in the request body."""
request_body = {
"dateFrom": "2020-01-01T00:00:00",
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 400
@pytest.mark.xfail
def test_post_items_valid_dateTo(client):
"""Test POSTing a request with a valid dateTo parameter in the request body."""
request_body = {
"dateTo": "2020-01-01T00:00:00Z",
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 100
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 2
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
assert isinstance(response.json["statistics"][1]["views"], int)
assert isinstance(response.json["statistics"][1]["downloads"], int)
def test_post_items_valid_dateTo_mocked(client):
"""Mock test POSTing a request with a valid dateTo parameter in the request body."""
request_body = {
"dateTo": "2020-01-01T00:00:00Z",
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
get_views_return_value = {
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 21,
"e53a2eab-1e31-448d-907b-3656ca4e86c1": 0,
}
get_downloads_return_value = {
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 575,
"e53a2eab-1e31-448d-907b-3656ca4e86c1": 899,
}
with patch(
"dspace_statistics_api.app.get_views", return_value=get_views_return_value
):
with patch(
"dspace_statistics_api.app.get_downloads",
return_value=get_downloads_return_value,
):
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 100
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 2
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
assert isinstance(response.json["statistics"][1]["views"], int)
assert isinstance(response.json["statistics"][1]["downloads"], int)
def test_post_items_invalid_dateTo(client):
"""Test POSTing a request with an invalid dateTo parameter in the request body."""
request_body = {
"dateFrom": "2020-01-01T00:00:00",
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 400
@pytest.mark.xfail
def test_post_items_valid_limit(client):
"""Test POSTing a request with a valid limit parameter in the request body."""
request_body = {
"limit": 1,
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 1
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 1
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
def test_post_items_valid_limit_mocked(client):
"""Mock test POSTing a request with a valid limit parameter in the request body."""
request_body = {
"limit": 1,
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
get_views_return_value = {"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 21}
get_downloads_return_value = {"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 575}
with patch(
"dspace_statistics_api.app.get_views", return_value=get_views_return_value
):
with patch(
"dspace_statistics_api.app.get_downloads",
return_value=get_downloads_return_value,
):
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 1
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 1
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
def test_post_items_invalid_limit(client):
"""Test POSTing a request with an invalid limit parameter in the request body."""
request_body = {
"limit": -1,
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 400
@pytest.mark.xfail
def test_post_items_valid_page(client):
"""Test POSTing a request with a valid page parameter in the request body."""
request_body = {
"page": 0,
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 100
assert response.json["currentPage"] == 0
assert response.json["totalPages"] == 0
assert len(response.json["statistics"]) == 2
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
assert isinstance(response.json["statistics"][1]["views"], int)
assert isinstance(response.json["statistics"][1]["downloads"], int)
def test_post_items_valid_page_mocked(client):
"""Mock test POSTing a request with a valid page parameter in the request body."""
request_body = {
"page": 0,
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
get_views_return_value = {
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 21,
"e53a2eab-1e31-448d-907b-3656ca4e86c1": 0,
}
get_downloads_return_value = {
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d": 575,
"e53a2eab-1e31-448d-907b-3656ca4e86c1": 899,
}
with patch(
"dspace_statistics_api.app.get_views", return_value=get_views_return_value
):
with patch(
"dspace_statistics_api.app.get_downloads",
return_value=get_downloads_return_value,
):
response = client.simulate_post("/items", json=request_body)
assert response.status_code == 200
assert response.json["limit"] == 100
assert response.json["currentPage"] == 0
assert isinstance(response.json["totalPages"], int)
assert len(response.json["statistics"]) == 2
assert isinstance(response.json["statistics"][0]["views"], int)
assert isinstance(response.json["statistics"][0]["downloads"], int)
assert isinstance(response.json["statistics"][1]["views"], int)
assert isinstance(response.json["statistics"][1]["downloads"], int)
def test_post_items_invalid_page(client):
"""Test POSTing a request with an invalid page parameter in the request body."""
request_body = {
"page": -1,
"items": [
"fd8a46d5-1480-4e69-b187-cd3db96d8e4d",
"e53a2eab-1e31-448d-907b-3656ca4e86c1",
],
}
response = client.simulate_post("/items", json=request_body)
response = client.simulate_get('/items', query_string='page=-1')
assert response.status_code == 400