Bump version to 1.3.2

Generated with poetry export:

    $ poetry export --without-hashes -f requirements.txt > requirements.txt
    $ poetry export --without-hashes --dev -f requirements.txt > requirements-dev.txt

The `--without-hashes` is required to work around an issue with
gunicorn pulling in a dependency on setuptools that poetry ignores.

See: https://github.com/python-poetry/poetry/issues/1584

.build.yml

@@ -0,0 +1,21 @@
+image: archlinux
+packages:
+  - python-poetry
+  - postgresql
+sources:
+  - https://git.sr.ht/~alanorth/dspace-statistics-api
+tasks:
+  - setup: |
+      id
+      psql --version
+      sudo su - postgres -c "initdb --locale en_US.UTF-8 -E UTF8 -D '/var/lib/postgres/data'"
+      sudo systemctl start postgresql
+      createuser -U postgres dspacestatistics
+      psql -U postgres -c "ALTER USER dspacestatistics WITH PASSWORD 'dspacestatistics'"
+      createdb -U postgres -O dspacestatistics --encoding=UNICODE dspacestatistics
+      cd dspace-statistics-api
+      psql -U postgres -d dspacestatistics < tests/dspacestatistics.sql
+      poetry install --no-root
+  - test: |
+      cd dspace-statistics-api
+      poetry run pytest

.flake8

@@ -0,0 +1,2 @@
+[flake8]
+ignore = E501

.hound.yml

@@ -0,0 +1,4 @@
+flake8:
+    enabled: true
+    config_file: .flake8
+    fail_on_violations: true

.travis.yml

@@ -1,8 +1,25 @@
+dist: bionic
 language: python
 python:
-  - "3.5"
   - "3.6"
+  - "3.7"
+  - "3.8"
+  - "3.9"
+  - "nightly"
+jobs:
+  allow_failures:
+    - python: "nightly"
+addons:
+  postgresql: "10"
+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.txt"
+  - "pip install -r requirements-dev.txt"
+script: pytest
 
 # vim: ts=2 sw=2 et

CHANGELOG.md

@@ -4,10 +4,169 @@ 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).
 
+## [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,
+and gunicorn 20.0.4
+
+### Changed
+- Use Ubuntu 18.04 "Bionic" for TravisCI builds
+- Use Python 3.8.0 for pipenv
+- Minor syntax issues highlighted by flake8
+
+## [1.1.0] - 2019-05-05
+## Updated
+- Falcon 2.0.0 (@alanorth)
+
+## [1.0.0] - 2019-04-15
+### Added
+- Build configuration for build.sr.ht
+
+### Updated
+- Run pipenv update, bringing pytest version 4.4.0, psycopg-binary 2.8.2, etc
+- sr.ht and TravisCI configuration to disable emojis and animation to keep logs clean
+
+### Changed
+- Use vanilla requests library instead of SolrClient
+- Use one-based paging in indexer output (for human readability)
+
+## [0.9.0] - 2019-01-22
+### Updated
+- pytest version 4.0.0
+- Fix indexing of sharded statistics cores ([#10))
+- Handle case of missing views/downloads gracefully
+
+## [0.8.1] - 2018-11-14
+### Changed
+- README.md to recommend using vanilla Python virtual environments and pip instead of pipenv
+- Regenerate pipenv environment to capture only direct dependencies
+
+### Added
+- `requirements-dev.txt` for installing development packages with pip
+
+## [0.8.0] - 2018-11-11
+### Changed
+- Properly handle database connection errors
+
+### Added
+- API tests with pytest
+
+## [0.7.0] - 2018-11-07
+### Added
+- Ability to configure PostgreSQL database port with DATABASE_PORT environment variable (defaults to 5432)
+- Hound CI configuration to validate pull requests against PEP 8 code style with Flake8
+- Configuration for [pipenv](https://pipenv.readthedocs.io/en/latest/)
+
+### Changed
+- Use a database management class with Python context management to automatically open/close connections and cursors
+
+### Changed
+- Validate code against PEP 8 style guide with Flake8
+
+## [0.6.1] - 2018-10-31
+### Added
+- API documentation at root path (/)
+
+## [0.6.0] - 2018-10-31
+### Changed
+- Refactor project structure (note breaking changes to API and indexing invocation, see contrib and README.md)
+
+## [0.5.2] - 2018-10-28
+### Changed
+- Update library versions in requirements.txt
+
+## [0.5.1] - 2018-10-24
+### Changed
+- Use Python's native json instead of ujson
+
+## [0.5.0] - 2018-10-24
+### Added
+- Example nginx configuration to README.md
+
+### Changed
+- Don't initialize Solr connection in API
+
+## [0.4.3] - 2018-10-17
+### Changed
+- Use pip install as script for Travis CI
+
+### Improved
+- Documentation for deployment and testing
+
+## [0.4.2] - 2018-10-04
+### Changed
+- README.md introduction and requirements
+- Use ujson instead of json
+- Iterate directly on SQL cursor in `/items` route
+
+### Fixed
+- Logic error in SQL for item views
+
+## [0.4.1] - 2018-09-26
+### Changed
+- Use `execute_values()` to batch insert records to PostgreSQL
+
+## [0.4.0] - 2018-09-25
+### Fixed
+- Invalid OnCalendar syntax in dspace-statistics-indexer.timer
+- Major logic error in indexer.py
+
+## [0.3.2] - 2018-09-25
+## Changed
+- /item/id route now returns HTTP 404 if an item is not found
+
+## [0.3.1] - 2018-09-25
+### Changed
+- Force SolrClient's kazoo dependency to version 2.5.0 to work with Python 3.7
+- Add Python 3.7 to Travis CI configuration
+
 ## [0.3.0] - 2018-09-25
 ### Added
 - requirements.txt for pip
-- Travis CI build configuration for Python 3.6 and 3.7
+- Travis CI build configuration for Python 3.5 and 3.6
 - Documentation on using the API
 
 ### Changed

README.md

@@ -1,31 +1,121 @@
-# DSpace Statistics API
-A quick and dirty REST API to expose Solr view and download statistics for items in a DSpace repository.
+# DSpace Statistics API [![Build Status](https://travis-ci.org/ilri/dspace-statistics-api.svg?branch=master)](https://travis-ci.org/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 4/5/6 [REST API](https://wiki.lyrasis.org/display/DSDOC5x/REST+API), for example, only exposes information about communities, collections, item metadata, and bitstreams.
 
-Written and tested in Python 3.5 and 3.6. SolrClient (0.2.1) does [not currently run in Python 3.7.0](https://github.com/moonlitesolutions/SolrClient/issues/79). Requires PostgreSQL version 9.5 or greater for [`UPSERT` support](https://wiki.postgresql.org/wiki/UPSERT).
+- 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).
+
+If you use the DSpace Statistics API please cite:
+
+*Orth, A. 2018. DSpace statistics API. Nairobi, Kenya: ILRI. https://hdl.handle.net/10568/99143.*
+
+## Requirements
+
+- Python 3.6+
+- 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)
 
 ## Installation
-Create a virtual environment and run it:
+Create a Python virtual environment and install the dependencies:
 
-    $ virtualenv -p /usr/bin/python3.6 venv
-    $ . venv/bin/activate
+    $ python3 -m venv venv
+    $ source venv/bin/activate
     $ pip install -r requirements.txt
-    $ gunicorn app:api
+
+## Running
+
+Set up the environment variables for Solr and PostgreSQL:
+
+    $ export SOLR_SERVER=http://localhost:8080/solr
+    $ export DATABASE_NAME=dspacestatistics
+    $ export DATABASE_USER=dspacestatistics
+    $ export DATABASE_PASS=dspacestatistics
+    $ export DATABASE_HOST=localhost
+
+Index the Solr statistics core to populate the PostgreSQL database:
+
+    $ python -m dspace_statistics_api.indexer
+
+Run the REST API:
+
+    $ gunicorn dspace_statistics_api.app
+
+Test to see if there are any statistics:
+
+    $ curl 'http://localhost:8000/items?limit=1'
+
+## Testing
+Install development packages using pip:
+
+    $ pip install -r requirements-dev.txt
+
+Run tests:
+
+    $ pytest
+
+## Deployment
+There are example systemd service and timer units in the `contrib` directory. The API service listens on localhost by default so you will need to expose it publicly using a web server like nginx.
+
+An example nginx configuration is:
+
+```
+server {
+    #...
+
+    location ~ /rest/statistics/?(.*) {
+        access_log /var/log/nginx/statistics.log;
+        proxy_pass http://statistics_api/$1$is_args$args;
+    }
+}
+
+upstream statistics_api {
+    server 127.0.0.1:5000;
+}
+```
+
+This would expose the API at `/rest/statistics`.
 
 ## Using the API
 The API exposes the following endpoints:
 
-  - GET `/items` — return views and downloads for all items that Solr knows about¹. Accepts `limit` and `page` query parameters for pagination of results.
-  - GET `/item/id` — return views and downloads for a single item (*id* must be a positive integer).
+  - 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. 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.
 
-¹ We are querying the Solr statistics core, which technically only knows about all items that have either views or downloads.
+The item id is the *internal* UUID for an item. You can get these from the standard DSpace REST API.
 
-## Todo
+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
 
-- Add API documentation
-- Close up DB connection when gunicorn shuts down gracefully
 - Better logging
-- Return HTTP 404 when item_id is nonexistent
-- Tests
+- Version API (or at least include a /version endpoint?)
+- 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
+- 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).
+
+The license allows you to use and modify the work for personal and commercial purposes, but if you distribute the work you must provide users with a means to access the source code for the version you are distributing. Read more about the [GPLv3 at TL;DR Legal](https://tldrlegal.com/license/gnu-general-public-license-v3-(gpl-3)).

app.py

@@ -1,65 +0,0 @@
-from database import database_connection
-import falcon
-from solr import solr_connection
-
-db = database_connection()
-db.set_session(readonly=True)
-solr = solr_connection()
-
-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=0, max=100) or 100
-        page = req.get_param_as_int("page", min=0) or 0
-        offset = limit * page
-
-        cursor = db.cursor()
-
-        # get total number of items so we can estimate the pages
-        cursor.execute('SELECT COUNT(id) FROM items')
-        pages = round(cursor.fetchone()[0] / limit)
-
-        # 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 ASC LIMIT {} OFFSET {}'.format(limit, offset))
-        results = cursor.fetchmany(limit)
-        cursor.close()
-
-        # create a list to hold dicts of item stats
-        statistics = list()
-
-        # iterate over results and build statistics object
-        for item in results:
-            statistics.append({ 'id': item['id'], 'views': item['views'], 'downloads': item['downloads'] })
-
-        message = {
-                'currentPage': page,
-                'totalPages': pages,
-                'limit': limit,
-                'statistics': statistics
-        }
-
-        resp.media = message
-
-class ItemResource:
-    def on_get(self, req, resp, item_id):
-        """Handles GET requests"""
-
-        cursor = db.cursor()
-        cursor.execute('SELECT views, downloads FROM items WHERE id={}'.format(item_id))
-        results = cursor.fetchone()
-        cursor.close()
-
-        statistics = {
-            'id': item_id,
-            'views': results['views'],
-            'downloads': results['downloads']
-        }
-
-        resp.media = statistics
-
-api = falcon.API()
-api.add_route('/items', AllItemsResource())
-api.add_route('/item/{item_id:int}', ItemResource())
-
-# vim: set sw=4 ts=4 expandtab:

config.py

@@ -1,11 +0,0 @@
-import os
-
-# Check if Solr connection information was provided in the environment
-SOLR_SERVER = os.environ.get('SOLR_SERVER', 'http://localhost:8080/solr')
-
-DATABASE_NAME = os.environ.get('DATABASE_NAME', 'dspacestatistics')
-DATABASE_USER = os.environ.get('DATABASE_USER', 'dspacestatistics')
-DATABASE_PASS = os.environ.get('DATABASE_PASS', 'dspacestatistics')
-DATABASE_HOST = os.environ.get('DATABASE_HOST', 'localhost')
-
-# vim: set sw=4 ts=4 expandtab:

contrib/dspace-statistics-api.service

@@ -9,10 +9,10 @@ Environment=DATABASE_PASS=dspacestatistics
 Environment=DATABASE_HOST=localhost
 User=nobody
 Group=nogroup
-WorkingDirectory=/opt/ilri/dspace-statistics-api
-ExecStart=/opt/ilri/dspace-statistics-api/venv/bin/gunicorn \
+WorkingDirectory=/var/lib/dspace-statistics-api
+ExecStart=/var/lib/dspace-statistics-api/venv/bin/gunicorn \
           --bind 127.0.0.1:5000                             \
-          app:api
+          dspace_statistics_api.app
 ExecReload=/bin/kill -s HUP $MAINPID
 ExecStop=/bin/kill -s TERM $MAINPID
 

contrib/dspace-statistics-indexer.service

@@ -10,8 +10,8 @@ Environment=DATABASE_PASS=dspacestatistics
 Environment=DATABASE_HOST=localhost
 User=nobody
 Group=nogroup
-WorkingDirectory=/opt/ilri/dspace-statistics-api
-ExecStart=/opt/ilri/dspace-statistics-api/venv/bin/python indexer.py
+WorkingDirectory=/var/lib/dspace-statistics-api
+ExecStart=/var/lib/dspace-statistics-api/venv/bin/python -m dspace_statistics_api.indexer
 
 [Install]
 WantedBy=multi-user.target

contrib/dspace-statistics-indexer.timer

@@ -3,7 +3,7 @@ Description=DSpace Statistics Indexer
 
 [Timer]
 # twice a day, at 6AM and 6PM
-OnCalendar=*-*-* 06:00:00,18:00:00
+OnCalendar=*-*-* 06,18:00:00
 # Add a random delay of 0–3600 seconds
 RandomizedDelaySec=3600
 Persistent=true

database.py

@@ -1,13 +0,0 @@
-from config import DATABASE_NAME
-from config import DATABASE_USER
-from config import DATABASE_PASS
-from config import DATABASE_HOST
-import psycopg2
-import psycopg2.extras
-
-def database_connection():
-    connection = psycopg2.connect("dbname={} user={} password={} host='{}'".format(DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST), cursor_factory=psycopg2.extras.DictCursor)
-
-    return connection
-
-# vim: set sw=4 ts=4 expandtab:

dspace_statistics_api/app.py

@@ -0,0 +1,159 @@
+import falcon
+
+from .database import DatabaseManager
+from .items import get_downloads, get_views
+from .util import validate_items_post_parameters
+
+
+class RootResource:
+    def on_get(self, req, resp):
+        resp.status = falcon.HTTP_200
+        resp.content_type = "text/html"
+        with open("dspace_statistics_api/docs/index.html", "r") as f:
+            resp.body = f.read()
+
+
+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
+        page = req.get_param_as_int("page", min_value=0) or 0
+        offset = limit * page
+
+        with DatabaseManager() as db:
+            db.set_session(readonly=True)
+
+            with db.cursor() as cursor:
+                # get total number of items so we can estimate the pages
+                cursor.execute("SELECT COUNT(id) FROM items")
+                pages = round(cursor.fetchone()[0] / limit)
+
+                # get statistics and use limit and offset to page through results
+                cursor.execute(
+                    "SELECT id, views, downloads FROM items LIMIT %s OFFSET %s",
+                    [limit, offset],
+                )
+
+                # create a list to hold dicts of item stats
+                statistics = list()
+
+                # iterate over results and build statistics object
+                for item in cursor:
+                    statistics.append(
+                        {
+                            "id": str(item["id"]),
+                            "views": item["views"],
+                            "downloads": item["downloads"],
+                        }
+                    )
+
+        message = {
+            "currentPage": page,
+            "totalPages": pages,
+            "limit": limit,
+            "statistics": statistics,
+        }
+
+        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 Python’s uuid.UUID type to PostgreSQL’s 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)]
+                )
+                if cursor.rowcount == 0:
+                    raise falcon.HTTPNotFound(
+                        title="Item not found",
+                        description=f'The item with id "{str(item_id)}" was not found.',
+                    )
+                else:
+                    results = cursor.fetchone()
+
+                    statistics = {
+                        "id": str(item_id),
+                        "views": results["views"],
+                        "downloads": results["downloads"],
+                    }
+
+                    resp.media = statistics
+
+
+api = application = falcon.API()
+api.add_route("/", RootResource())
+api.add_route("/items", AllItemsResource())
+api.add_route("/item/{item_id:uuid}", ItemResource())
+
+# vim: set sw=4 ts=4 expandtab:

dspace_statistics_api/config.py

@@ -0,0 +1,12 @@
+import os
+
+# Check if Solr connection information was provided in the environment
+SOLR_SERVER = os.environ.get("SOLR_SERVER", "http://localhost:8080/solr")
+
+DATABASE_NAME = os.environ.get("DATABASE_NAME", "dspacestatistics")
+DATABASE_USER = os.environ.get("DATABASE_USER", "dspacestatistics")
+DATABASE_PASS = os.environ.get("DATABASE_PASS", "dspacestatistics")
+DATABASE_HOST = os.environ.get("DATABASE_HOST", "localhost")
+DATABASE_PORT = os.environ.get("DATABASE_PORT", "5432")
+
+# vim: set sw=4 ts=4 expandtab:

dspace_statistics_api/database.py

@@ -0,0 +1,36 @@
+import falcon
+import psycopg2
+import psycopg2.extras
+
+from .config import (
+    DATABASE_HOST,
+    DATABASE_NAME,
+    DATABASE_PASS,
+    DATABASE_PORT,
+    DATABASE_USER,
+)
+
+
+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}"
+
+    def __enter__(self):
+        try:
+            self._connection = psycopg2.connect(
+                self._connection_uri, cursor_factory=psycopg2.extras.DictCursor
+            )
+        except psycopg2.OperationalError:
+            title = "500 Internal Server Error"
+            description = "Could not connect to database"
+            raise falcon.HTTPInternalServerError(title, description)
+
+        return self._connection
+
+    def __exit__(self, exc_type, exc_value, exc_traceback):
+        self._connection.close()
+
+
+# vim: set sw=4 ts=4 expandtab:

dspace_statistics_api/docs/index.html

@@ -0,0 +1,37 @@
+<!DOCTYPE html>
+<html lang="en-US">
+    <head>
+        <meta charset="UTF-8">
+        <title>DSpace Statistics API</title>
+    </head>
+    <body>
+        <h1>DSpace Statistics API v1.3.2</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. 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>
+        </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>
+
+        <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>
+    </body>
+</html>

dspace_statistics_api/indexer.py

@@ -0,0 +1,223 @@
+#
+# indexer.py
+#
+# Copyright 2018 Alan Orth.
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <http://www.gnu.org/licenses/>.
+#
+# ---
+#
+# 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
+# can install with pip (I recommend using a Python virtual environment):
+#
+#   $ pip install psycopg2-binary
+#
+# See: https://wiki.duraspace.org/display/DSPACE/Solr
+
+import psycopg2.extras
+import requests
+
+from .config import SOLR_SERVER
+from .database import DatabaseManager
+from .util import get_statistics_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.
+    #
+    # 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",
+        "facet": "true",
+        "facet.field": "id",
+        "facet.mincount": 1,
+        "facet.limit": 1,
+        "facet.offset": 0,
+        "stats": "true",
+        "stats.field": "id",
+        "stats.calcdistinct": "true",
+        "shards": shards,
+        "rows": 0,
+        "wt": "json",
+    }
+
+    solr_url = SOLR_SERVER + "/statistics/select"
+
+    res = requests.get(solr_url, params=solr_query_params)
+
+    try:
+        # get total number of distinct facets (countDistinct)
+        results_totalNumFacets = res.json()["stats"]["stats_fields"]["id"][
+            "countDistinct"
+        ]
+    except TypeError:
+        print("No item views to index, exiting.")
+
+        exit(0)
+
+    # divide results into "pages" (cast to int to effectively round down)
+    results_per_page = 100
+    results_num_pages = int(results_totalNumFacets / results_per_page)
+    results_current_page = 0
+
+    with DatabaseManager() as db:
+        with db.cursor() as cursor:
+            # create an empty list to store values for batch insertion
+            data = []
+
+            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})"
+                )
+
+                solr_query_params = {
+                    "q": "type:2",
+                    "fq": "-isBot:true AND statistics_type:view",
+                    "facet": "true",
+                    "facet.field": "id",
+                    "facet.mincount": 1,
+                    "facet.limit": results_per_page,
+                    "facet.offset": results_current_page * results_per_page,
+                    "shards": shards,
+                    "rows": 0,
+                    "wt": "json",
+                    "json.nl": "map",  # return facets as a dict instead of a flat list
+                }
+
+                res = requests.get(solr_url, params=solr_query_params)
+
+                # Solr returns facets as a dict of dicts (see 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.append((item_id, item_views))
+
+                # do a batch insert of values from the current "page" of results
+                sql = "INSERT INTO items(id, views) VALUES %s ON CONFLICT(id) DO UPDATE SET views=excluded.views"
+                psycopg2.extras.execute_values(cursor, sql, data, template="(%s, %s)")
+                db.commit()
+
+                # clear all items from the list so we can populate it with the next batch
+                data.clear()
+
+                results_current_page += 1
+
+
+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",
+        "facet": "true",
+        "facet.field": "owningItem",
+        "facet.mincount": 1,
+        "facet.limit": 1,
+        "facet.offset": 0,
+        "stats": "true",
+        "stats.field": "owningItem",
+        "stats.calcdistinct": "true",
+        "shards": shards,
+        "rows": 0,
+        "wt": "json",
+    }
+
+    solr_url = SOLR_SERVER + "/statistics/select"
+
+    res = requests.get(solr_url, params=solr_query_params)
+
+    try:
+        # get total number of distinct facets (countDistinct)
+        results_totalNumFacets = res.json()["stats"]["stats_fields"]["owningItem"][
+            "countDistinct"
+        ]
+    except TypeError:
+        print("No item downloads to index, exiting.")
+
+        exit(0)
+
+    # divide results into "pages" (cast to int to effectively round down)
+    results_per_page = 100
+    results_num_pages = int(results_totalNumFacets / results_per_page)
+    results_current_page = 0
+
+    with DatabaseManager() as db:
+        with db.cursor() as cursor:
+            # create an empty list to store values for batch insertion
+            data = []
+
+            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})"
+                )
+
+                solr_query_params = {
+                    "q": "type:0",
+                    "fq": "-isBot:true AND statistics_type:view AND bundleName:ORIGINAL",
+                    "facet": "true",
+                    "facet.field": "owningItem",
+                    "facet.mincount": 1,
+                    "facet.limit": results_per_page,
+                    "facet.offset": results_current_page * results_per_page,
+                    "shards": shards,
+                    "rows": 0,
+                    "wt": "json",
+                    "json.nl": "map",  # return facets as a dict instead of a flat list
+                }
+
+                res = requests.get(solr_url, params=solr_query_params)
+
+                # Solr returns facets as a dict of dicts (see 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.append((item_id, item_downloads))
+
+                # do a batch insert of values from the current "page" of results
+                sql = "INSERT INTO items(id, downloads) VALUES %s ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads"
+                psycopg2.extras.execute_values(cursor, sql, data, template="(%s, %s)")
+                db.commit()
+
+                # clear all items from the list so we can populate it with the next batch
+                data.clear()
+
+                results_current_page += 1
+
+
+with DatabaseManager() as db:
+    with db.cursor() as cursor:
+        # 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)"""
+        )
+
+    # commit the table creation before closing the database connection
+    db.commit()
+
+shards = get_statistics_shards()
+
+index_views()
+index_downloads()
+
+# vim: set sw=4 ts=4 expandtab:

dspace_statistics_api/items.py

@@ -0,0 +1,105 @@
+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:

dspace_statistics_api/util.py

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

indexer.py

@@ -1,144 +0,0 @@
-#!/usr/bin/env python
-#
-# indexer.py
-#
-# Copyright 2018 Alan Orth.
-#
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>.
-#
-# ---
-#
-# Connects to a DSpace Solr statistics core and ingests item views and downloads
-# into a Postgres database for use with other applications (an API, for example).
-#
-# This script is written for Python 3 and requires several modules that you can
-# install with pip (I recommend setting up a Python virtual environment first):
-#
-#   $ pip install SolrClient
-#
-# See: https://solrclient.readthedocs.io/en/latest/SolrClient.html
-# See: https://wiki.duraspace.org/display/DSPACE/Solr
-#
-# Tested with Python 3.5 and 3.6.
-
-from database import database_connection
-from solr import solr_connection
-
-def index_views():
-    print("Populating database with item views.")
-
-    # determine the total number of items with views (aka Solr's numFound)
-    res = solr.query('statistics', {
-        'q':'type:2',
-        'fq':'isBot:false AND statistics_type:view',
-        'facet':True,
-        'facet.field':'id',
-    }, rows=0)
-
-    # divide results into "pages" (numFound / 100)
-    results_numFound = res.get_num_found()
-    results_per_page = 100
-    results_num_pages = round(results_numFound / results_per_page)
-    results_current_page = 0
-
-    cursor = db.cursor()
-
-    while results_current_page <= results_num_pages:
-        print('Page {} of {}.'.format(results_current_page, results_num_pages))
-
-        res = solr.query('statistics', {
-            'q':'type:2',
-            'fq':'isBot:false AND statistics_type:view',
-            'facet':True,
-            'facet.field':'id',
-            'facet.limit':results_per_page,
-            'facet.offset':results_current_page * results_per_page
-        })
-
-        # make sure total number of results > 0
-        if res.get_num_found() > 0:
-            # SolrClient's get_facets() returns a dict of dicts
-            views = res.get_facets()
-            # in this case iterate over the 'id' dict and get the item ids and views
-            for item_id, item_views in views['id'].items():
-                cursor.execute('''INSERT INTO items(id, views) VALUES(%s, %s)
-                               ON CONFLICT(id) DO UPDATE SET downloads=excluded.views''',
-                               (item_id, item_views))
-
-        db.commit()
-
-        results_current_page += 1
-
-    cursor.close()
-
-def index_downloads():
-    print("Populating database with item downloads.")
-
-    # determine the total number of items with downloads (aka Solr's numFound)
-    res = solr.query('statistics', {
-        'q':'type:0',
-        'fq':'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
-        'facet':True,
-        'facet.field':'owningItem',
-    }, rows=0)
-
-    # divide results into "pages" (numFound / 100)
-    results_numFound = res.get_num_found()
-    results_per_page = 100
-    results_num_pages = round(results_numFound / results_per_page)
-    results_current_page = 0
-
-    cursor = db.cursor()
-
-    while results_current_page <= results_num_pages:
-        print('Page {} of {}.'.format(results_current_page, results_num_pages))
-
-        res = solr.query('statistics', {
-            'q':'type:0',
-            'fq':'isBot:false AND statistics_type:view AND bundleName:ORIGINAL',
-            'facet':True,
-            'facet.field':'owningItem',
-            'facet.limit':results_per_page,
-            'facet.offset':results_current_page * results_per_page
-        })
-
-        # make sure total number of results > 0
-        if res.get_num_found() > 0:
-            # SolrClient's get_facets() returns a dict of dicts
-            downloads = res.get_facets()
-            # in this case iterate over the 'owningItem' dict and get the item ids and downloads
-            for item_id, item_downloads in downloads['owningItem'].items():
-                cursor.execute('''INSERT INTO items(id, downloads) VALUES(%s, %s)
-                               ON CONFLICT(id) DO UPDATE SET downloads=excluded.downloads''',
-                               (item_id, item_downloads))
-
-        db.commit()
-
-        results_current_page += 1
-
-    cursor.close()
-
-db = database_connection()
-solr = solr_connection()
-
-# create table to store item views and downloads
-cursor = db.cursor()
-cursor.execute('''CREATE TABLE IF NOT EXISTS items
-                  (id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)''')
-index_views()
-index_downloads()
-
-db.close()
-
-# vim: set sw=4 ts=4 expandtab:

poetry.lock

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@@ -0,0 +1,25 @@
+[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"
+pytest-clarity = "^0.3.0-alpha.0"
+
+[build-system]
+requires = ["poetry>=0.12"]
+build-backend = "poetry.masonry.api"

pytest.ini

@@ -0,0 +1,4 @@
+[pytest]
+addopts= -rsxX -s -v --strict
+filterwarnings =
+    error::UserWarning

requirements-dev.txt

@@ -0,0 +1,51 @@
+appdirs==1.4.4
+appnope==0.1.0; python_version >= "3.7" and python_version < "4.0" and sys_platform == "darwin"
+atomicwrites==1.4.0; sys_platform == "win32"
+attrs==20.3.0
+backcall==0.2.0; python_version >= "3.7" and python_version < "4.0"
+black==20.8b1
+certifi==2020.11.8
+chardet==3.0.4
+click==7.1.2
+colorama==0.4.4; python_version >= "3.7" and python_version < "4.0" and sys_platform == "win32" or sys_platform == "win32"
+dataclasses==0.6; python_version < "3.7"
+decorator==4.4.2; python_version >= "3.7" and python_version < "4.0"
+falcon==2.0.0
+flake8==3.8.4
+gunicorn==20.0.4
+idna==2.10
+importlib-metadata==2.0.0; python_version < "3.8"
+iniconfig==1.1.1
+ipython==7.19.0; python_version >= "3.7" and python_version < "4.0"
+ipython-genutils==0.2.0; python_version >= "3.7" and python_version < "4.0"
+isort==5.6.4
+jedi==0.17.2; python_version >= "3.7" and python_version < "4.0"
+mccabe==0.6.1
+mypy-extensions==0.4.3
+packaging==20.4
+parso==0.7.1; python_version >= "3.7" and python_version < "4.0"
+pathspec==0.8.1
+pexpect==4.8.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32"
+pickleshare==0.7.5; python_version >= "3.7" and python_version < "4.0"
+pluggy==0.13.1
+prompt-toolkit==3.0.8; python_version >= "3.7" and python_version < "4.0"
+psycopg2-binary==2.8.6
+ptyprocess==0.6.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32"
+py==1.9.0
+pycodestyle==2.6.0
+pyflakes==2.2.0
+pygments==2.7.2; python_version >= "3.7" and python_version < "4.0"
+pyparsing==2.4.7
+pytest==6.1.2
+pytest-clarity==0.3.0a0
+regex==2020.11.13
+requests==2.25.0
+six==1.15.0
+termcolor==1.1.0
+toml==0.10.2
+traitlets==5.0.5; python_version >= "3.7" and python_version < "4.0"
+typed-ast==1.4.1
+typing-extensions==3.7.4.3
+urllib3==1.26.2
+wcwidth==0.2.5; python_version >= "3.7" and python_version < "4.0"
+zipp==3.4.0; python_version < "3.8"

requirements.txt

@@ -1,12 +1,8 @@
-certifi==2018.8.24
+certifi==2020.11.8
 chardet==3.0.4
-falcon==1.4.1
-gunicorn==19.9.0
-idna==2.7
-kazoo==2.2.1
-psycopg2-binary==2.7.5
-python-mimeparse==1.6.0
-requests==2.19.1
-six==1.11.0
-SolrClient==0.2.1
-urllib3==1.23
+falcon==2.0.0
+gunicorn==20.0.4
+idna==2.10
+psycopg2-binary==2.8.6
+requests==2.25.0
+urllib3==1.26.2

setup.cfg

@@ -0,0 +1,6 @@
+[isort]
+multi_line_output=3
+include_trailing_comma=True
+force_grid_wrap=0
+use_parentheses=True
+line_length=88

solr.py

@@ -1,9 +0,0 @@
-from config import SOLR_SERVER
-from SolrClient import SolrClient
-
-def solr_connection():
-    connection = SolrClient(SOLR_SERVER)
-
-    return connection
-
-# vim: set sw=4 ts=4 expandtab:

tests/test_api.py

@@ -0,0 +1,382 @@
+from falcon import testing
+import json
+import pytest
+from unittest.mock import patch
+
+from dspace_statistics_api.app import api
+
+
+@pytest.fixture
+def client():
+    return testing.TestClient(api)
+
+
+def test_get_docs(client):
+    """Test requesting the documentation at the root."""
+
+    response = client.simulate_get("/")
+
+    assert isinstance(response.content, bytes)
+    assert response.status_code == 200
+
+
+def test_get_item(client):
+    """Test requesting a single item."""
+
+    response = client.simulate_get("/item/c3910974-c3a5-4053-9dce-104aa7bb1621")
+    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 response.status_code == 200
+
+
+def test_get_missing_item(client):
+    """Test requesting a single non-existing item."""
+
+    response = client.simulate_get("/item/c3910974-c3a5-4053-9dce-104aa7bb1620")
+
+    assert response.status_code == 404
+
+
+def test_get_items(client):
+    """Test requesting 100 items."""
+
+    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 response.status_code == 200
+
+
+def test_get_items_invalid_limit(client):
+    """Test requesting 100 items with an invalid limit parameter."""
+
+    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."""
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    get_views_return_value = {
+        "c3910974-c3a5-4053-9dce-104aa7bb1620": 21,
+        "887cc5f8-b5e7-4a2f-9053-49c91ab81313": 0,
+    }
+    get_downloads_return_value = {
+        "c3910974-c3a5-4053-9dce-104aa7bb1620": 575,
+        "887cc5f8-b5e7-4a2f-9053-49c91ab81313": 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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    get_views_return_value = {
+        "c3910974-c3a5-4053-9dce-104aa7bb1620": 21,
+        "887cc5f8-b5e7-4a2f-9053-49c91ab81313": 0,
+    }
+    get_downloads_return_value = {
+        "c3910974-c3a5-4053-9dce-104aa7bb1620": 575,
+        "887cc5f8-b5e7-4a2f-9053-49c91ab81313": 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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    get_views_return_value = {"c3910974-c3a5-4053-9dce-104aa7bb1620": 21}
+    get_downloads_return_value = {"c3910974-c3a5-4053-9dce-104aa7bb1620": 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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    get_views_return_value = {
+        "c3910974-c3a5-4053-9dce-104aa7bb1620": 21,
+        "887cc5f8-b5e7-4a2f-9053-49c91ab81313": 0,
+    }
+    get_downloads_return_value = {
+        "c3910974-c3a5-4053-9dce-104aa7bb1620": 575,
+        "887cc5f8-b5e7-4a2f-9053-49c91ab81313": 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": [
+            "c3910974-c3a5-4053-9dce-104aa7bb1620",
+            "887cc5f8-b5e7-4a2f-9053-49c91ab81313",
+        ],
+    }
+
+    response = client.simulate_post("/items", json=request_body)
+
+    assert response.status_code == 400